2022/08/26 14:48:18 - 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: 370300950 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 14:48:19 - mmengine - INFO - Config: ctw_det_data_root = 'data/det/ctw1500' ctw_det_train = dict( type='OCRDataset', data_root='data/det/ctw1500', ann_file='instances_training.json', data_prefix=dict(img_path='imgs/'), filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict(type='ShortScaleAspectJitter', short_size=640, scale_divisor=32), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict(type='RandomRotate', max_angle=10), dict(type='TextDetRandomCrop', target_size=(640, 640)), dict(type='Pad', size=(640, 640)), dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.12549019607843137, saturation=0.5), dict( type='PackTextDetInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'scale_factor')) ]) ctw_det_test = dict( type='OCRDataset', data_root='data/det/ctw1500', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), color_type='color_ignore_orientation'), dict( type='ShortScaleAspectJitter', short_size=640, 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'), shrink_ratio=(1, 0.7)), 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=640, scale_divisor=32), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict(type='RandomRotate', max_angle=10), dict(type='TextDetRandomCrop', target_size=(640, 640)), dict(type='Pad', size=(640, 640)), 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=640, 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=16, num_workers=4, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/det/ctw1500', ann_file='instances_training.json', data_prefix=dict(img_path='imgs/'), filter_cfg=dict(filter_empty_gt=True, min_size=32), pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict( type='LoadOCRAnnotations', with_polygon=True, with_bbox=True, with_label=True), dict( type='ShortScaleAspectJitter', short_size=640, scale_divisor=32), dict(type='RandomFlip', prob=0.5, direction='horizontal'), dict(type='RandomRotate', max_angle=10), dict(type='TextDetRandomCrop', target_size=(640, 640)), dict(type='Pad', size=(640, 640)), 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/ctw1500', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict( type='ShortScaleAspectJitter', short_size=640, 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/ctw1500', ann_file='instances_test.json', data_prefix=dict(img_path='imgs/'), test_mode=True, pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), color_type='color_ignore_orientation'), dict( type='ShortScaleAspectJitter', short_size=640, 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_ctw1500' 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 14:50:14 - mmengine - INFO - Auto resumed from the latest checkpoint None. 2022/08/26 14:52:42 - mmengine - INFO - Epoch(train) [1][5/63] lr: 1.0000e-03 memory: 48162 data_time: 28.3981 loss_text: 0.4734 loss_kernel: 0.1459 loss_embedding: 0.4502 loss: 1.0695 time: 29.5286 2022/08/26 14:52:45 - mmengine - INFO - Epoch(train) [1][10/63] lr: 1.0000e-03 eta: 6 days, 14:09:31 time: 15.0667 data_time: 14.2299 memory: 12278 loss_text: 0.4668 loss_kernel: 0.1413 loss_embedding: 0.4102 loss: 1.0184 2022/08/26 14:52:48 - mmengine - INFO - Epoch(train) [1][15/63] lr: 1.0000e-03 eta: 6 days, 14:09:31 time: 0.5752 data_time: 0.0446 memory: 12278 loss_text: 0.4623 loss_kernel: 0.1339 loss_embedding: 0.3718 loss: 0.9680 2022/08/26 14:52:50 - mmengine - INFO - Epoch(train) [1][20/63] lr: 1.0000e-03 eta: 3 days, 9:56:06 time: 0.5482 data_time: 0.0256 memory: 12278 loss_text: 0.4495 loss_kernel: 0.1281 loss_embedding: 0.3680 loss: 0.9456 2022/08/26 14:52:53 - mmengine - INFO - Epoch(train) [1][25/63] lr: 1.0000e-03 eta: 3 days, 9:56:06 time: 0.5433 data_time: 0.0263 memory: 12278 loss_text: 0.4330 loss_kernel: 0.1241 loss_embedding: 0.3478 loss: 0.9049 2022/08/26 14:52:57 - mmengine - INFO - Epoch(train) [1][30/63] lr: 1.0000e-03 eta: 2 days, 8:49:42 time: 0.6347 data_time: 0.0443 memory: 12278 loss_text: 0.4552 loss_kernel: 0.1260 loss_embedding: 0.3180 loss: 0.8993 2022/08/26 14:53:00 - mmengine - INFO - Epoch(train) [1][35/63] lr: 1.0000e-03 eta: 2 days, 8:49:42 time: 0.6565 data_time: 0.0478 memory: 12278 loss_text: 0.4578 loss_kernel: 0.1274 loss_embedding: 0.2978 loss: 0.8830 2022/08/26 14:53:03 - mmengine - INFO - Epoch(train) [1][40/63] lr: 1.0000e-03 eta: 1 day, 20:10:09 time: 0.5946 data_time: 0.0447 memory: 12278 loss_text: 0.4396 loss_kernel: 0.1251 loss_embedding: 0.2821 loss: 0.8468 2022/08/26 14:53:06 - mmengine - INFO - Epoch(train) [1][45/63] lr: 1.0000e-03 eta: 1 day, 20:10:09 time: 0.5825 data_time: 0.0385 memory: 12278 loss_text: 0.4452 loss_kernel: 0.1266 loss_embedding: 0.2599 loss: 0.8317 2022/08/26 14:53:08 - mmengine - INFO - Epoch(train) [1][50/63] lr: 1.0000e-03 eta: 1 day, 12:30:48 time: 0.5661 data_time: 0.0389 memory: 12278 loss_text: 0.4421 loss_kernel: 0.1262 loss_embedding: 0.2453 loss: 0.8135 2022/08/26 14:53:11 - mmengine - INFO - Epoch(train) [1][55/63] lr: 1.0000e-03 eta: 1 day, 12:30:48 time: 0.5686 data_time: 0.0433 memory: 12278 loss_text: 0.4256 loss_kernel: 0.1241 loss_embedding: 0.2412 loss: 0.7909 2022/08/26 14:53:14 - mmengine - INFO - Epoch(train) [1][60/63] lr: 1.0000e-03 eta: 1 day, 7:21:53 time: 0.5410 data_time: 0.0269 memory: 12278 loss_text: 0.4104 loss_kernel: 0.1221 loss_embedding: 0.2322 loss: 0.7648 2022/08/26 14:53:17 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 14:53:21 - mmengine - INFO - Epoch(train) [2][5/63] lr: 9.9850e-04 eta: 1 day, 7:21:53 time: 0.8075 data_time: 0.1443 memory: 40784 loss_text: 0.4015 loss_kernel: 0.1215 loss_embedding: 0.2239 loss: 0.7470 2022/08/26 14:53:24 - mmengine - INFO - Epoch(train) [2][10/63] lr: 9.9850e-04 eta: 1 day, 2:44:31 time: 0.6769 data_time: 0.1578 memory: 12276 loss_text: 0.3820 loss_kernel: 0.1158 loss_embedding: 0.2042 loss: 0.7020 2022/08/26 14:53:26 - mmengine - INFO - Epoch(train) [2][15/63] lr: 9.9850e-04 eta: 1 day, 2:44:31 time: 0.5581 data_time: 0.0430 memory: 12276 loss_text: 0.3872 loss_kernel: 0.1111 loss_embedding: 0.2045 loss: 0.7027 2022/08/26 14:53:29 - mmengine - INFO - Epoch(train) [2][20/63] lr: 9.9850e-04 eta: 1 day, 0:12:40 time: 0.5524 data_time: 0.0247 memory: 12276 loss_text: 0.3963 loss_kernel: 0.1146 loss_embedding: 0.2196 loss: 0.7305 2022/08/26 14:53:32 - mmengine - INFO - Epoch(train) [2][25/63] lr: 9.9850e-04 eta: 1 day, 0:12:40 time: 0.5679 data_time: 0.0260 memory: 12276 loss_text: 0.3750 loss_kernel: 0.1114 loss_embedding: 0.2203 loss: 0.7067 2022/08/26 14:53:35 - mmengine - INFO - Epoch(train) [2][30/63] lr: 9.9850e-04 eta: 22:15:08 time: 0.5772 data_time: 0.0344 memory: 12276 loss_text: 0.3734 loss_kernel: 0.1037 loss_embedding: 0.2101 loss: 0.6871 2022/08/26 14:53:38 - mmengine - INFO - Epoch(train) [2][35/63] lr: 9.9850e-04 eta: 22:15:08 time: 0.5825 data_time: 0.0396 memory: 12276 loss_text: 0.3781 loss_kernel: 0.1002 loss_embedding: 0.1882 loss: 0.6665 2022/08/26 14:53:41 - mmengine - INFO - Epoch(train) [2][40/63] lr: 9.9850e-04 eta: 20:38:56 time: 0.5534 data_time: 0.0295 memory: 12276 loss_text: 0.3813 loss_kernel: 0.1020 loss_embedding: 0.1843 loss: 0.6676 2022/08/26 14:53:43 - mmengine - INFO - Epoch(train) [2][45/63] lr: 9.9850e-04 eta: 20:38:56 time: 0.5305 data_time: 0.0254 memory: 12276 loss_text: 0.3932 loss_kernel: 0.1063 loss_embedding: 0.1809 loss: 0.6804 2022/08/26 14:53:46 - mmengine - INFO - Epoch(train) [2][50/63] lr: 9.9850e-04 eta: 19:18:33 time: 0.5318 data_time: 0.0332 memory: 12276 loss_text: 0.3725 loss_kernel: 0.1017 loss_embedding: 0.1680 loss: 0.6421 2022/08/26 14:53:50 - mmengine - INFO - Epoch(train) [2][55/63] lr: 9.9850e-04 eta: 19:18:33 time: 0.6407 data_time: 0.0472 memory: 12276 loss_text: 0.3291 loss_kernel: 0.0931 loss_embedding: 0.1724 loss: 0.5947 2022/08/26 14:53:53 - mmengine - INFO - Epoch(train) [2][60/63] lr: 9.9850e-04 eta: 18:18:16 time: 0.6695 data_time: 0.0410 memory: 12276 loss_text: 0.3204 loss_kernel: 0.0909 loss_embedding: 0.1692 loss: 0.5805 2022/08/26 14:53:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 14:53:59 - mmengine - INFO - Epoch(train) [3][5/63] lr: 9.9699e-04 eta: 18:18:16 time: 0.7726 data_time: 0.1656 memory: 12276 loss_text: 0.3563 loss_kernel: 0.0923 loss_embedding: 0.1774 loss: 0.6260 2022/08/26 14:54:02 - mmengine - INFO - Epoch(train) [3][10/63] lr: 9.9699e-04 eta: 17:08:37 time: 0.7728 data_time: 0.1714 memory: 12276 loss_text: 0.3451 loss_kernel: 0.0922 loss_embedding: 0.1664 loss: 0.6037 2022/08/26 14:54:05 - mmengine - INFO - Epoch(train) [3][15/63] lr: 9.9699e-04 eta: 17:08:37 time: 0.5565 data_time: 0.0345 memory: 12276 loss_text: 0.3175 loss_kernel: 0.0888 loss_embedding: 0.1658 loss: 0.5721 2022/08/26 14:54:07 - mmengine - INFO - Epoch(train) [3][20/63] lr: 9.9699e-04 eta: 16:20:59 time: 0.5370 data_time: 0.0273 memory: 12276 loss_text: 0.3334 loss_kernel: 0.0907 loss_embedding: 0.1644 loss: 0.5885 2022/08/26 14:54:10 - mmengine - INFO - Epoch(train) [3][25/63] lr: 9.9699e-04 eta: 16:20:59 time: 0.5775 data_time: 0.0335 memory: 12276 loss_text: 0.3558 loss_kernel: 0.0898 loss_embedding: 0.1473 loss: 0.5929 2022/08/26 14:54:13 - mmengine - INFO - Epoch(train) [3][30/63] lr: 9.9699e-04 eta: 15:41:36 time: 0.5905 data_time: 0.0431 memory: 12276 loss_text: 0.3450 loss_kernel: 0.0926 loss_embedding: 0.1496 loss: 0.5873 2022/08/26 14:54:16 - mmengine - INFO - Epoch(train) [3][35/63] lr: 9.9699e-04 eta: 15:41:36 time: 0.5870 data_time: 0.0374 memory: 12276 loss_text: 0.3312 loss_kernel: 0.0923 loss_embedding: 0.1518 loss: 0.5752 2022/08/26 14:54:19 - mmengine - INFO - Epoch(train) [3][40/63] lr: 9.9699e-04 eta: 15:06:27 time: 0.5772 data_time: 0.0256 memory: 12276 loss_text: 0.3170 loss_kernel: 0.0881 loss_embedding: 0.1513 loss: 0.5564 2022/08/26 14:54:22 - mmengine - INFO - Epoch(train) [3][45/63] lr: 9.9699e-04 eta: 15:06:27 time: 0.5468 data_time: 0.0248 memory: 12276 loss_text: 0.3264 loss_kernel: 0.0887 loss_embedding: 0.1605 loss: 0.5755 2022/08/26 14:54:25 - mmengine - INFO - Epoch(train) [3][50/63] lr: 9.9699e-04 eta: 14:34:48 time: 0.5634 data_time: 0.0350 memory: 12276 loss_text: 0.3350 loss_kernel: 0.0867 loss_embedding: 0.1594 loss: 0.5811 2022/08/26 14:54:28 - mmengine - INFO - Epoch(train) [3][55/63] lr: 9.9699e-04 eta: 14:34:48 time: 0.5843 data_time: 0.0388 memory: 12276 loss_text: 0.3339 loss_kernel: 0.0868 loss_embedding: 0.1449 loss: 0.5656 2022/08/26 14:54:30 - mmengine - INFO - Epoch(train) [3][60/63] lr: 9.9699e-04 eta: 14:06:13 time: 0.5537 data_time: 0.0287 memory: 12276 loss_text: 0.3397 loss_kernel: 0.0865 loss_embedding: 0.1433 loss: 0.5695 2022/08/26 14:54:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 14:54:36 - mmengine - INFO - Epoch(train) [4][5/63] lr: 9.9549e-04 eta: 14:06:13 time: 0.6407 data_time: 0.1549 memory: 12276 loss_text: 0.3130 loss_kernel: 0.0829 loss_embedding: 0.1444 loss: 0.5403 2022/08/26 14:54:38 - mmengine - INFO - Epoch(train) [4][10/63] lr: 9.9549e-04 eta: 13:31:40 time: 0.6672 data_time: 0.1603 memory: 12276 loss_text: 0.3094 loss_kernel: 0.0838 loss_embedding: 0.1363 loss: 0.5294 2022/08/26 14:54:41 - mmengine - INFO - Epoch(train) [4][15/63] lr: 9.9549e-04 eta: 13:31:40 time: 0.5490 data_time: 0.0364 memory: 12276 loss_text: 0.3115 loss_kernel: 0.0818 loss_embedding: 0.1432 loss: 0.5365 2022/08/26 14:54:45 - mmengine - INFO - Epoch(train) [4][20/63] lr: 9.9549e-04 eta: 13:11:23 time: 0.6256 data_time: 0.0342 memory: 12276 loss_text: 0.3136 loss_kernel: 0.0840 loss_embedding: 0.1422 loss: 0.5399 2022/08/26 14:54:48 - mmengine - INFO - Epoch(train) [4][25/63] lr: 9.9549e-04 eta: 13:11:23 time: 0.7063 data_time: 0.0325 memory: 12276 loss_text: 0.3054 loss_kernel: 0.0871 loss_embedding: 0.1339 loss: 0.5264 2022/08/26 14:54:52 - mmengine - INFO - Epoch(train) [4][30/63] lr: 9.9549e-04 eta: 12:54:48 time: 0.6909 data_time: 0.0400 memory: 12276 loss_text: 0.3007 loss_kernel: 0.0853 loss_embedding: 0.1258 loss: 0.5118 2022/08/26 14:54:55 - mmengine - INFO - Epoch(train) [4][35/63] lr: 9.9549e-04 eta: 12:54:48 time: 0.6962 data_time: 0.0516 memory: 12276 loss_text: 0.3074 loss_kernel: 0.0801 loss_embedding: 0.1295 loss: 0.5170 2022/08/26 14:54:58 - mmengine - INFO - Epoch(train) [4][40/63] lr: 9.9549e-04 eta: 12:38:41 time: 0.6552 data_time: 0.0423 memory: 12276 loss_text: 0.3023 loss_kernel: 0.0744 loss_embedding: 0.1350 loss: 0.5116 2022/08/26 14:55:01 - mmengine - INFO - Epoch(train) [4][45/63] lr: 9.9549e-04 eta: 12:38:41 time: 0.5740 data_time: 0.0328 memory: 12276 loss_text: 0.2999 loss_kernel: 0.0794 loss_embedding: 0.1286 loss: 0.5080 2022/08/26 14:55:04 - mmengine - INFO - Epoch(train) [4][50/63] lr: 9.9549e-04 eta: 12:21:43 time: 0.5717 data_time: 0.0405 memory: 12276 loss_text: 0.3198 loss_kernel: 0.0885 loss_embedding: 0.1376 loss: 0.5460 2022/08/26 14:55:07 - mmengine - INFO - Epoch(train) [4][55/63] lr: 9.9549e-04 eta: 12:21:43 time: 0.5849 data_time: 0.0401 memory: 12276 loss_text: 0.3171 loss_kernel: 0.0839 loss_embedding: 0.1367 loss: 0.5377 2022/08/26 14:55:09 - mmengine - INFO - Epoch(train) [4][60/63] lr: 9.9549e-04 eta: 12:05:36 time: 0.5515 data_time: 0.0315 memory: 12276 loss_text: 0.3120 loss_kernel: 0.0831 loss_embedding: 0.1319 loss: 0.5269 2022/08/26 14:55:11 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 14:55:15 - mmengine - INFO - Epoch(train) [5][5/63] lr: 9.9399e-04 eta: 12:05:36 time: 0.6252 data_time: 0.1425 memory: 12276 loss_text: 0.2944 loss_kernel: 0.0825 loss_embedding: 0.1161 loss: 0.4931 2022/08/26 14:55:17 - mmengine - INFO - Epoch(train) [5][10/63] lr: 9.9399e-04 eta: 11:45:38 time: 0.6813 data_time: 0.1607 memory: 12276 loss_text: 0.2765 loss_kernel: 0.0773 loss_embedding: 0.1132 loss: 0.4670 2022/08/26 14:55:20 - mmengine - INFO - Epoch(train) [5][15/63] lr: 9.9399e-04 eta: 11:45:38 time: 0.5848 data_time: 0.0424 memory: 12276 loss_text: 0.2878 loss_kernel: 0.0832 loss_embedding: 0.1365 loss: 0.5075 2022/08/26 14:55:23 - mmengine - INFO - Epoch(train) [5][20/63] lr: 9.9399e-04 eta: 11:32:13 time: 0.5526 data_time: 0.0274 memory: 12276 loss_text: 0.3120 loss_kernel: 0.0852 loss_embedding: 0.1405 loss: 0.5376 2022/08/26 14:55:26 - mmengine - INFO - Epoch(train) [5][25/63] lr: 9.9399e-04 eta: 11:32:13 time: 0.5651 data_time: 0.0260 memory: 12276 loss_text: 0.2932 loss_kernel: 0.0781 loss_embedding: 0.1264 loss: 0.4977 2022/08/26 14:55:29 - mmengine - INFO - Epoch(train) [5][30/63] lr: 9.9399e-04 eta: 11:20:37 time: 0.5918 data_time: 0.0398 memory: 12276 loss_text: 0.2761 loss_kernel: 0.0819 loss_embedding: 0.1349 loss: 0.4929 2022/08/26 14:55:32 - mmengine - INFO - Epoch(train) [5][35/63] lr: 9.9399e-04 eta: 11:20:37 time: 0.5692 data_time: 0.0395 memory: 12276 loss_text: 0.2772 loss_kernel: 0.0880 loss_embedding: 0.1311 loss: 0.4964 2022/08/26 14:55:35 - mmengine - INFO - Epoch(train) [5][40/63] lr: 9.9399e-04 eta: 11:09:04 time: 0.5574 data_time: 0.0248 memory: 12276 loss_text: 0.2722 loss_kernel: 0.0862 loss_embedding: 0.1194 loss: 0.4777 2022/08/26 14:55:37 - mmengine - INFO - Epoch(train) [5][45/63] lr: 9.9399e-04 eta: 11:09:04 time: 0.5454 data_time: 0.0229 memory: 12276 loss_text: 0.2852 loss_kernel: 0.0783 loss_embedding: 0.1190 loss: 0.4825 2022/08/26 14:55:40 - mmengine - INFO - Epoch(train) [5][50/63] lr: 9.9399e-04 eta: 10:58:08 time: 0.5505 data_time: 0.0353 memory: 12276 loss_text: 0.2879 loss_kernel: 0.0722 loss_embedding: 0.1146 loss: 0.4747 2022/08/26 14:55:43 - mmengine - INFO - Epoch(train) [5][55/63] lr: 9.9399e-04 eta: 10:58:08 time: 0.5295 data_time: 0.0400 memory: 12276 loss_text: 0.2881 loss_kernel: 0.0733 loss_embedding: 0.1143 loss: 0.4756 2022/08/26 14:55:47 - mmengine - INFO - Epoch(train) [5][60/63] lr: 9.9399e-04 eta: 10:50:45 time: 0.6934 data_time: 0.0315 memory: 12276 loss_text: 0.3045 loss_kernel: 0.0771 loss_embedding: 0.1200 loss: 0.5016 2022/08/26 14:55:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 14:55:53 - mmengine - INFO - Epoch(train) [6][5/63] lr: 9.9248e-04 eta: 10:50:45 time: 0.8264 data_time: 0.1578 memory: 12276 loss_text: 0.2521 loss_kernel: 0.0731 loss_embedding: 0.1019 loss: 0.4271 2022/08/26 14:55:55 - mmengine - INFO - Epoch(train) [6][10/63] lr: 9.9248e-04 eta: 10:38:07 time: 0.7083 data_time: 0.1625 memory: 12276 loss_text: 0.2535 loss_kernel: 0.0708 loss_embedding: 0.1085 loss: 0.4328 2022/08/26 14:55:58 - mmengine - INFO - Epoch(train) [6][15/63] lr: 9.9248e-04 eta: 10:38:07 time: 0.5445 data_time: 0.0364 memory: 12276 loss_text: 0.2791 loss_kernel: 0.0781 loss_embedding: 0.1183 loss: 0.4755 2022/08/26 14:56:01 - mmengine - INFO - Epoch(train) [6][20/63] lr: 9.9248e-04 eta: 10:28:59 time: 0.5415 data_time: 0.0283 memory: 12276 loss_text: 0.2956 loss_kernel: 0.0862 loss_embedding: 0.1221 loss: 0.5039 2022/08/26 14:56:04 - mmengine - INFO - Epoch(train) [6][25/63] lr: 9.9248e-04 eta: 10:28:59 time: 0.5303 data_time: 0.0257 memory: 12276 loss_text: 0.2769 loss_kernel: 0.0797 loss_embedding: 0.1061 loss: 0.4627 2022/08/26 14:56:06 - mmengine - INFO - Epoch(train) [6][30/63] lr: 9.9248e-04 eta: 10:20:27 time: 0.5442 data_time: 0.0330 memory: 12276 loss_text: 0.2659 loss_kernel: 0.0723 loss_embedding: 0.0907 loss: 0.4289 2022/08/26 14:56:09 - mmengine - INFO - Epoch(train) [6][35/63] lr: 9.9248e-04 eta: 10:20:27 time: 0.5295 data_time: 0.0331 memory: 12276 loss_text: 0.2629 loss_kernel: 0.0712 loss_embedding: 0.1040 loss: 0.4380 2022/08/26 14:56:11 - mmengine - INFO - Epoch(train) [6][40/63] lr: 9.9248e-04 eta: 10:11:54 time: 0.5172 data_time: 0.0261 memory: 12276 loss_text: 0.2413 loss_kernel: 0.0711 loss_embedding: 0.1181 loss: 0.4305 2022/08/26 14:56:14 - mmengine - INFO - Epoch(train) [6][45/63] lr: 9.9248e-04 eta: 10:11:54 time: 0.5243 data_time: 0.0269 memory: 12276 loss_text: 0.2474 loss_kernel: 0.0768 loss_embedding: 0.1077 loss: 0.4319 2022/08/26 14:56:17 - mmengine - INFO - Epoch(train) [6][50/63] lr: 9.9248e-04 eta: 10:03:51 time: 0.5192 data_time: 0.0322 memory: 12276 loss_text: 0.2619 loss_kernel: 0.0819 loss_embedding: 0.1044 loss: 0.4482 2022/08/26 14:56:19 - mmengine - INFO - Epoch(train) [6][55/63] lr: 9.9248e-04 eta: 10:03:51 time: 0.5280 data_time: 0.0321 memory: 12276 loss_text: 0.2508 loss_kernel: 0.0734 loss_embedding: 0.1075 loss: 0.4316 2022/08/26 14:56:22 - mmengine - INFO - Epoch(train) [6][60/63] lr: 9.9248e-04 eta: 9:56:04 time: 0.5093 data_time: 0.0241 memory: 12276 loss_text: 0.2497 loss_kernel: 0.0683 loss_embedding: 0.1123 loss: 0.4303 2022/08/26 14:56:23 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 14:56:27 - mmengine - INFO - Epoch(train) [7][5/63] lr: 9.9098e-04 eta: 9:56:04 time: 0.5858 data_time: 0.1260 memory: 12276 loss_text: 0.2655 loss_kernel: 0.0792 loss_embedding: 0.1034 loss: 0.4481 2022/08/26 14:56:29 - mmengine - INFO - Epoch(train) [7][10/63] lr: 9.9098e-04 eta: 9:45:49 time: 0.6176 data_time: 0.1357 memory: 12276 loss_text: 0.2673 loss_kernel: 0.0773 loss_embedding: 0.1030 loss: 0.4475 2022/08/26 14:56:32 - mmengine - INFO - Epoch(train) [7][15/63] lr: 9.9098e-04 eta: 9:45:49 time: 0.5200 data_time: 0.0322 memory: 12276 loss_text: 0.2394 loss_kernel: 0.0675 loss_embedding: 0.1068 loss: 0.4137 2022/08/26 14:56:34 - mmengine - INFO - Epoch(train) [7][20/63] lr: 9.9098e-04 eta: 9:39:03 time: 0.5174 data_time: 0.0258 memory: 12276 loss_text: 0.2372 loss_kernel: 0.0687 loss_embedding: 0.1008 loss: 0.4067 2022/08/26 14:56:37 - mmengine - INFO - Epoch(train) [7][25/63] lr: 9.9098e-04 eta: 9:39:03 time: 0.5311 data_time: 0.0284 memory: 12276 loss_text: 0.2526 loss_kernel: 0.0708 loss_embedding: 0.1017 loss: 0.4251 2022/08/26 14:56:40 - mmengine - INFO - Epoch(train) [7][30/63] lr: 9.9098e-04 eta: 9:33:04 time: 0.5473 data_time: 0.0350 memory: 12276 loss_text: 0.2494 loss_kernel: 0.0701 loss_embedding: 0.0983 loss: 0.4179 2022/08/26 14:56:43 - mmengine - INFO - Epoch(train) [7][35/63] lr: 9.9098e-04 eta: 9:33:04 time: 0.5727 data_time: 0.0315 memory: 12276 loss_text: 0.2525 loss_kernel: 0.0732 loss_embedding: 0.0912 loss: 0.4168 2022/08/26 14:56:46 - mmengine - INFO - Epoch(train) [7][40/63] lr: 9.9098e-04 eta: 9:28:52 time: 0.6486 data_time: 0.0372 memory: 12276 loss_text: 0.2567 loss_kernel: 0.0732 loss_embedding: 0.0974 loss: 0.4273 2022/08/26 14:56:50 - mmengine - INFO - Epoch(train) [7][45/63] lr: 9.9098e-04 eta: 9:28:52 time: 0.6657 data_time: 0.0423 memory: 12276 loss_text: 0.2507 loss_kernel: 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14:57:06 - mmengine - INFO - Epoch(train) [8][10/63] lr: 9.8948e-04 eta: 9:12:02 time: 0.6669 data_time: 0.1644 memory: 12276 loss_text: 0.2341 loss_kernel: 0.0726 loss_embedding: 0.0905 loss: 0.3972 2022/08/26 14:57:08 - mmengine - INFO - Epoch(train) [8][15/63] lr: 9.8948e-04 eta: 9:12:02 time: 0.5158 data_time: 0.0288 memory: 12276 loss_text: 0.2465 loss_kernel: 0.0716 loss_embedding: 0.0948 loss: 0.4129 2022/08/26 14:57:11 - mmengine - INFO - Epoch(train) [8][20/63] lr: 9.8948e-04 eta: 9:06:31 time: 0.4888 data_time: 0.0210 memory: 12276 loss_text: 0.2417 loss_kernel: 0.0715 loss_embedding: 0.0874 loss: 0.4007 2022/08/26 14:57:13 - mmengine - INFO - Epoch(train) [8][25/63] lr: 9.8948e-04 eta: 9:06:31 time: 0.5018 data_time: 0.0208 memory: 12276 loss_text: 0.2448 loss_kernel: 0.0702 loss_embedding: 0.0888 loss: 0.4038 2022/08/26 14:57:16 - mmengine - INFO - Epoch(train) [8][30/63] lr: 9.8948e-04 eta: 9:01:43 time: 0.5261 data_time: 0.0286 memory: 12276 loss_text: 0.2332 loss_kernel: 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data_time: 0.0295 memory: 12276 loss_text: 0.2437 loss_kernel: 0.0727 loss_embedding: 0.0915 loss: 0.4080 2022/08/26 14:57:32 - mmengine - INFO - Epoch(train) [8][60/63] lr: 9.8948e-04 eta: 8:48:45 time: 0.5159 data_time: 0.0224 memory: 12276 loss_text: 0.2455 loss_kernel: 0.0719 loss_embedding: 0.0936 loss: 0.4110 2022/08/26 14:57:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 14:57:38 - mmengine - INFO - Epoch(train) [9][5/63] lr: 9.8797e-04 eta: 8:48:45 time: 0.6337 data_time: 0.1552 memory: 12276 loss_text: 0.2394 loss_kernel: 0.0656 loss_embedding: 0.0853 loss: 0.3903 2022/08/26 14:57:40 - mmengine - INFO - Epoch(train) [9][10/63] lr: 9.8797e-04 eta: 8:43:19 time: 0.6725 data_time: 0.1656 memory: 12276 loss_text: 0.2137 loss_kernel: 0.0637 loss_embedding: 0.0849 loss: 0.3623 2022/08/26 14:57:44 - mmengine - INFO - Epoch(train) [9][15/63] lr: 9.8797e-04 eta: 8:43:19 time: 0.6054 data_time: 0.0377 memory: 12276 loss_text: 0.2259 loss_kernel: 0.0626 loss_embedding: 0.0849 loss: 0.3733 2022/08/26 14:57:47 - mmengine - INFO - Epoch(train) [9][20/63] lr: 9.8797e-04 eta: 8:41:17 time: 0.6817 data_time: 0.0306 memory: 12276 loss_text: 0.2329 loss_kernel: 0.0635 loss_embedding: 0.0831 loss: 0.3795 2022/08/26 14:57:50 - mmengine - INFO - Epoch(train) [9][25/63] lr: 9.8797e-04 eta: 8:41:17 time: 0.6584 data_time: 0.0322 memory: 12276 loss_text: 0.2337 loss_kernel: 0.0687 loss_embedding: 0.0786 loss: 0.3810 2022/08/26 14:57:53 - mmengine - INFO - Epoch(train) [9][30/63] lr: 9.8797e-04 eta: 8:38:45 time: 0.6340 data_time: 0.0420 memory: 12276 loss_text: 0.2456 loss_kernel: 0.0712 loss_embedding: 0.0791 loss: 0.3959 2022/08/26 14:57:56 - mmengine - INFO - Epoch(train) [9][35/63] lr: 9.8797e-04 eta: 8:38:45 time: 0.5814 data_time: 0.0329 memory: 12276 loss_text: 0.2528 loss_kernel: 0.0761 loss_embedding: 0.0864 loss: 0.4153 2022/08/26 14:57:59 - mmengine - INFO - Epoch(train) [9][40/63] lr: 9.8797e-04 eta: 8:35:07 time: 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name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 14:58:14 - mmengine - INFO - Epoch(train) [10][5/63] lr: 9.8647e-04 eta: 8:28:25 time: 0.5980 data_time: 0.1449 memory: 12276 loss_text: 0.2124 loss_kernel: 0.0700 loss_embedding: 0.0826 loss: 0.3650 2022/08/26 14:58:17 - mmengine - INFO - Epoch(train) [10][10/63] lr: 9.8647e-04 eta: 8:23:43 time: 0.6444 data_time: 0.1557 memory: 12276 loss_text: 0.2060 loss_kernel: 0.0669 loss_embedding: 0.0837 loss: 0.3566 2022/08/26 14:58:20 - mmengine - INFO - Epoch(train) [10][15/63] lr: 9.8647e-04 eta: 8:23:43 time: 0.5258 data_time: 0.0309 memory: 12276 loss_text: 0.2163 loss_kernel: 0.0660 loss_embedding: 0.0825 loss: 0.3648 2022/08/26 14:58:22 - mmengine - INFO - Epoch(train) [10][20/63] lr: 9.8647e-04 eta: 8:20:20 time: 0.5044 data_time: 0.0221 memory: 12276 loss_text: 0.2127 loss_kernel: 0.0661 loss_embedding: 0.0839 loss: 0.3628 2022/08/26 14:58:25 - mmengine - INFO - Epoch(train) [10][25/63] lr: 9.8647e-04 eta: 8:20:20 time: 0.5112 data_time: 0.0205 memory: 12276 loss_text: 0.2184 loss_kernel: 0.0676 loss_embedding: 0.0824 loss: 0.3684 2022/08/26 14:58:28 - mmengine - INFO - Epoch(train) [10][30/63] lr: 9.8647e-04 eta: 8:17:40 time: 0.5628 data_time: 0.0333 memory: 12276 loss_text: 0.2324 loss_kernel: 0.0714 loss_embedding: 0.0853 loss: 0.3890 2022/08/26 14:58:30 - mmengine - INFO - Epoch(train) [10][35/63] lr: 9.8647e-04 eta: 8:17:40 time: 0.5610 data_time: 0.0341 memory: 12276 loss_text: 0.2289 loss_kernel: 0.0725 loss_embedding: 0.0875 loss: 0.3889 2022/08/26 14:58:33 - mmengine - INFO - Epoch(train) [10][40/63] lr: 9.8647e-04 eta: 8:14:35 time: 0.5146 data_time: 0.0206 memory: 12276 loss_text: 0.2440 loss_kernel: 0.0758 loss_embedding: 0.0841 loss: 0.4039 2022/08/26 14:58:35 - mmengine - INFO - Epoch(train) [10][45/63] lr: 9.8647e-04 eta: 8:14:35 time: 0.5100 data_time: 0.0188 memory: 12276 loss_text: 0.2466 loss_kernel: 0.0701 loss_embedding: 0.0785 loss: 0.3952 2022/08/26 14:58:39 - mmengine - INFO - Epoch(train) [10][50/63] lr: 9.8647e-04 eta: 8:12:54 time: 0.6421 data_time: 0.0327 memory: 12276 loss_text: 0.2196 loss_kernel: 0.0632 loss_embedding: 0.0775 loss: 0.3603 2022/08/26 14:58:42 - mmengine - INFO - Epoch(train) [10][55/63] lr: 9.8647e-04 eta: 8:12:54 time: 0.6631 data_time: 0.0330 memory: 12276 loss_text: 0.2190 loss_kernel: 0.0669 loss_embedding: 0.0851 loss: 0.3710 2022/08/26 14:58:46 - mmengine - INFO - Epoch(train) [10][60/63] lr: 9.8647e-04 eta: 8:11:07 time: 0.6287 data_time: 0.0277 memory: 12276 loss_text: 0.2288 loss_kernel: 0.0676 loss_embedding: 0.0851 loss: 0.3815 2022/08/26 14:58:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 14:58:51 - mmengine - INFO - Epoch(train) [11][5/63] lr: 9.8496e-04 eta: 8:11:07 time: 0.7181 data_time: 0.1977 memory: 12276 loss_text: 0.2358 loss_kernel: 0.0686 loss_embedding: 0.0834 loss: 0.3878 2022/08/26 14:58:54 - mmengine - INFO - Epoch(train) [11][10/63] lr: 9.8496e-04 eta: 8:07:28 time: 0.6720 data_time: 0.1798 memory: 12276 loss_text: 0.2253 loss_kernel: 0.0673 loss_embedding: 0.0810 loss: 0.3735 2022/08/26 14:58:57 - mmengine - INFO - Epoch(train) [11][15/63] lr: 9.8496e-04 eta: 8:07:28 time: 0.5407 data_time: 0.0235 memory: 12276 loss_text: 0.2318 loss_kernel: 0.0694 loss_embedding: 0.0823 loss: 0.3835 2022/08/26 14:58:59 - mmengine - INFO - Epoch(train) [11][20/63] lr: 9.8496e-04 eta: 8:05:14 time: 0.5652 data_time: 0.0434 memory: 12276 loss_text: 0.2168 loss_kernel: 0.0691 loss_embedding: 0.0858 loss: 0.3716 2022/08/26 14:59:02 - mmengine - INFO - Epoch(train) [11][25/63] lr: 9.8496e-04 eta: 8:05:14 time: 0.5310 data_time: 0.0406 memory: 12276 loss_text: 0.1962 loss_kernel: 0.0687 loss_embedding: 0.0796 loss: 0.3446 2022/08/26 14:59:04 - mmengine - INFO - Epoch(train) [11][30/63] lr: 9.8496e-04 eta: 8:02:30 time: 0.5063 data_time: 0.0250 memory: 12276 loss_text: 0.1936 loss_kernel: 0.0680 loss_embedding: 0.0720 loss: 0.3335 2022/08/26 14:59:07 - mmengine - INFO - Epoch(train) [11][35/63] lr: 9.8496e-04 eta: 8:02:30 time: 0.5114 data_time: 0.0267 memory: 12276 loss_text: 0.2071 loss_kernel: 0.0651 loss_embedding: 0.0750 loss: 0.3471 2022/08/26 14:59:10 - mmengine - INFO - Epoch(train) [11][40/63] lr: 9.8496e-04 eta: 8:00:09 time: 0.5401 data_time: 0.0366 memory: 12276 loss_text: 0.2176 loss_kernel: 0.0640 loss_embedding: 0.0752 loss: 0.3568 2022/08/26 14:59:12 - mmengine - INFO - Epoch(train) [11][45/63] lr: 9.8496e-04 eta: 8:00:09 time: 0.5427 data_time: 0.0346 memory: 12276 loss_text: 0.2156 loss_kernel: 0.0657 loss_embedding: 0.0753 loss: 0.3566 2022/08/26 14:59:15 - mmengine - INFO - Epoch(train) [11][50/63] lr: 9.8496e-04 eta: 7:57:39 time: 0.5155 data_time: 0.0252 memory: 12276 loss_text: 0.2144 loss_kernel: 0.0673 loss_embedding: 0.0863 loss: 0.3680 2022/08/26 14:59:18 - mmengine - INFO - Epoch(train) [11][55/63] lr: 9.8496e-04 eta: 7:57:39 time: 0.5650 data_time: 0.0254 memory: 12276 loss_text: 0.2107 loss_kernel: 0.0644 loss_embedding: 0.0882 loss: 0.3633 2022/08/26 14:59:21 - mmengine - INFO - Epoch(train) [11][60/63] lr: 9.8496e-04 eta: 7:55:50 time: 0.5826 data_time: 0.0314 memory: 12276 loss_text: 0.2162 loss_kernel: 0.0632 loss_embedding: 0.0795 loss: 0.3589 2022/08/26 14:59:22 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 14:59:26 - mmengine - INFO - Epoch(train) [12][5/63] lr: 9.8346e-04 eta: 7:55:50 time: 0.6093 data_time: 0.1341 memory: 12276 loss_text: 0.2015 loss_kernel: 0.0633 loss_embedding: 0.0826 loss: 0.3474 2022/08/26 14:59:28 - mmengine - INFO - Epoch(train) [12][10/63] lr: 9.8346e-04 eta: 7:52:33 time: 0.6474 data_time: 0.1373 memory: 12276 loss_text: 0.2021 loss_kernel: 0.0621 loss_embedding: 0.0732 loss: 0.3374 2022/08/26 14:59:32 - mmengine - INFO - Epoch(train) [12][15/63] lr: 9.8346e-04 eta: 7:52:33 time: 0.6431 data_time: 0.0358 memory: 12276 loss_text: 0.2073 loss_kernel: 0.0634 loss_embedding: 0.0808 loss: 0.3515 2022/08/26 14:59:35 - mmengine - INFO - Epoch(train) [12][20/63] lr: 9.8346e-04 eta: 7:51:24 time: 0.6454 data_time: 0.0330 memory: 12276 loss_text: 0.2075 loss_kernel: 0.0633 loss_embedding: 0.0784 loss: 0.3491 2022/08/26 14:59:38 - mmengine - INFO - Epoch(train) [12][25/63] lr: 9.8346e-04 eta: 7:51:24 time: 0.6212 data_time: 0.0241 memory: 12276 loss_text: 0.2292 loss_kernel: 0.0670 loss_embedding: 0.0763 loss: 0.3725 2022/08/26 14:59:41 - mmengine - INFO - Epoch(train) [12][30/63] lr: 9.8346e-04 eta: 7:50:06 time: 0.6250 data_time: 0.0242 memory: 12276 loss_text: 0.2063 loss_kernel: 0.0668 loss_embedding: 0.0815 loss: 0.3546 2022/08/26 14:59:44 - mmengine - INFO - Epoch(train) [12][35/63] lr: 9.8346e-04 eta: 7:50:06 time: 0.5433 data_time: 0.0248 memory: 12276 loss_text: 0.1748 loss_kernel: 0.0601 loss_embedding: 0.0738 loss: 0.3087 2022/08/26 14:59:46 - mmengine - INFO - Epoch(train) [12][40/63] lr: 9.8346e-04 eta: 7:47:59 time: 0.5260 data_time: 0.0256 memory: 12276 loss_text: 0.2003 loss_kernel: 0.0621 loss_embedding: 0.0689 loss: 0.3313 2022/08/26 14:59:49 - mmengine - INFO - Epoch(train) [12][45/63] lr: 9.8346e-04 eta: 7:47:59 time: 0.5122 data_time: 0.0205 memory: 12276 loss_text: 0.2252 loss_kernel: 0.0639 loss_embedding: 0.0759 loss: 0.3651 2022/08/26 14:59:52 - mmengine - INFO - Epoch(train) [12][50/63] lr: 9.8346e-04 eta: 7:45:50 time: 0.5137 data_time: 0.0195 memory: 12276 loss_text: 0.2156 loss_kernel: 0.0631 loss_embedding: 0.0814 loss: 0.3600 2022/08/26 14:59:54 - mmengine - INFO - Epoch(train) [12][55/63] lr: 9.8346e-04 eta: 7:45:50 time: 0.5249 data_time: 0.0322 memory: 12276 loss_text: 0.2016 loss_kernel: 0.0673 loss_embedding: 0.0758 loss: 0.3446 2022/08/26 14:59:58 - mmengine - INFO - Epoch(train) [12][60/63] lr: 9.8346e-04 eta: 7:44:31 time: 0.6091 data_time: 0.0369 memory: 12276 loss_text: 0.2090 loss_kernel: 0.0703 loss_embedding: 0.0771 loss: 0.3564 2022/08/26 14:59:59 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:00:02 - mmengine - INFO - Epoch(train) [13][5/63] lr: 9.8195e-04 eta: 7:44:31 time: 0.6066 data_time: 0.1227 memory: 12276 loss_text: 0.2115 loss_kernel: 0.0705 loss_embedding: 0.0751 loss: 0.3571 2022/08/26 15:00:05 - mmengine - INFO - Epoch(train) [13][10/63] lr: 9.8195e-04 eta: 7:41:30 time: 0.6242 data_time: 0.1282 memory: 12276 loss_text: 0.2041 loss_kernel: 0.0690 loss_embedding: 0.0753 loss: 0.3484 2022/08/26 15:00:08 - mmengine - INFO - Epoch(train) [13][15/63] lr: 9.8195e-04 eta: 7:41:30 time: 0.5361 data_time: 0.0299 memory: 12276 loss_text: 0.2022 loss_kernel: 0.0699 loss_embedding: 0.0730 loss: 0.3450 2022/08/26 15:00:10 - mmengine - INFO - Epoch(train) [13][20/63] lr: 9.8195e-04 eta: 7:39:37 time: 0.5253 data_time: 0.0208 memory: 12276 loss_text: 0.2020 loss_kernel: 0.0684 loss_embedding: 0.0724 loss: 0.3428 2022/08/26 15:00:13 - mmengine - INFO - Epoch(train) [13][25/63] lr: 9.8195e-04 eta: 7:39:37 time: 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Epoch(train) [13][50/63] lr: 9.8195e-04 eta: 7:35:34 time: 0.7218 data_time: 0.0333 memory: 12276 loss_text: 0.2244 loss_kernel: 0.0665 loss_embedding: 0.0741 loss: 0.3650 2022/08/26 15:00:31 - mmengine - INFO - Epoch(train) [13][55/63] lr: 9.8195e-04 eta: 7:35:34 time: 0.6680 data_time: 0.0287 memory: 12276 loss_text: 0.2156 loss_kernel: 0.0646 loss_embedding: 0.0745 loss: 0.3547 2022/08/26 15:00:34 - mmengine - INFO - Epoch(train) [13][60/63] lr: 9.8195e-04 eta: 7:34:11 time: 0.5710 data_time: 0.0227 memory: 12276 loss_text: 0.2241 loss_kernel: 0.0630 loss_embedding: 0.0754 loss: 0.3626 2022/08/26 15:00:35 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:00:39 - mmengine - INFO - Epoch(train) [14][5/63] lr: 9.8045e-04 eta: 7:34:11 time: 0.6344 data_time: 0.1458 memory: 12276 loss_text: 0.2049 loss_kernel: 0.0649 loss_embedding: 0.0763 loss: 0.3461 2022/08/26 15:00:41 - mmengine - INFO - Epoch(train) [14][10/63] lr: 9.8045e-04 eta: 7:31:33 time: 0.6264 data_time: 0.1513 memory: 12276 loss_text: 0.2033 loss_kernel: 0.0630 loss_embedding: 0.0745 loss: 0.3408 2022/08/26 15:00:44 - mmengine - INFO - Epoch(train) [14][15/63] lr: 9.8045e-04 eta: 7:31:33 time: 0.4998 data_time: 0.0262 memory: 12276 loss_text: 0.2028 loss_kernel: 0.0599 loss_embedding: 0.0754 loss: 0.3381 2022/08/26 15:00:47 - mmengine - INFO - Epoch(train) [14][20/63] lr: 9.8045e-04 eta: 7:29:57 time: 0.5299 data_time: 0.0246 memory: 12276 loss_text: 0.1985 loss_kernel: 0.0635 loss_embedding: 0.0750 loss: 0.3370 2022/08/26 15:00:49 - mmengine - INFO - Epoch(train) [14][25/63] lr: 9.8045e-04 eta: 7:29:57 time: 0.5361 data_time: 0.0294 memory: 12276 loss_text: 0.1994 loss_kernel: 0.0647 loss_embedding: 0.0710 loss: 0.3352 2022/08/26 15:00:52 - mmengine - INFO - Epoch(train) [14][30/63] lr: 9.8045e-04 eta: 7:28:20 time: 0.5249 data_time: 0.0349 memory: 12276 loss_text: 0.2001 loss_kernel: 0.0631 loss_embedding: 0.0669 loss: 0.3301 2022/08/26 15:00:54 - mmengine - INFO - Epoch(train) [14][35/63] lr: 9.8045e-04 eta: 7:28:20 time: 0.5083 data_time: 0.0288 memory: 12276 loss_text: 0.1997 loss_kernel: 0.0614 loss_embedding: 0.0735 loss: 0.3346 2022/08/26 15:00:57 - mmengine - INFO - Epoch(train) [14][40/63] lr: 9.8045e-04 eta: 7:26:29 time: 0.4868 data_time: 0.0207 memory: 12276 loss_text: 0.2011 loss_kernel: 0.0617 loss_embedding: 0.0818 loss: 0.3447 2022/08/26 15:00:59 - mmengine - INFO - Epoch(train) [14][45/63] lr: 9.8045e-04 eta: 7:26:29 time: 0.5087 data_time: 0.0255 memory: 12276 loss_text: 0.1956 loss_kernel: 0.0617 loss_embedding: 0.0763 loss: 0.3336 2022/08/26 15:01:02 - mmengine - INFO - Epoch(train) [14][50/63] lr: 9.8045e-04 eta: 7:24:56 time: 0.5241 data_time: 0.0364 memory: 12276 loss_text: 0.1925 loss_kernel: 0.0637 loss_embedding: 0.0746 loss: 0.3307 2022/08/26 15:01:05 - mmengine - INFO - Epoch(train) [14][55/63] lr: 9.8045e-04 eta: 7:24:56 time: 0.5284 data_time: 0.0325 memory: 12276 loss_text: 0.2112 loss_kernel: 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2022/08/26 15:01:22 - mmengine - INFO - Epoch(train) [15][20/63] lr: 9.7894e-04 eta: 7:20:47 time: 0.6593 data_time: 0.0478 memory: 12276 loss_text: 0.1899 loss_kernel: 0.0621 loss_embedding: 0.0676 loss: 0.3196 2022/08/26 15:01:24 - mmengine - INFO - Epoch(train) [15][25/63] lr: 9.7894e-04 eta: 7:20:47 time: 0.5924 data_time: 0.0416 memory: 12276 loss_text: 0.1791 loss_kernel: 0.0628 loss_embedding: 0.0672 loss: 0.3092 2022/08/26 15:01:27 - mmengine - INFO - Epoch(train) [15][30/63] lr: 9.7894e-04 eta: 7:19:44 time: 0.5777 data_time: 0.0447 memory: 12276 loss_text: 0.1855 loss_kernel: 0.0656 loss_embedding: 0.0731 loss: 0.3242 2022/08/26 15:01:30 - mmengine - INFO - Epoch(train) [15][35/63] lr: 9.7894e-04 eta: 7:19:44 time: 0.5614 data_time: 0.0426 memory: 12276 loss_text: 0.2183 loss_kernel: 0.0670 loss_embedding: 0.0737 loss: 0.3589 2022/08/26 15:01:32 - mmengine - INFO - Epoch(train) [15][40/63] lr: 9.7894e-04 eta: 7:18:07 time: 0.4903 data_time: 0.0249 memory: 12276 loss_text: 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panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:01:48 - mmengine - INFO - Epoch(train) [16][5/63] lr: 9.7743e-04 eta: 7:15:27 time: 0.6213 data_time: 0.1485 memory: 12276 loss_text: 0.2095 loss_kernel: 0.0645 loss_embedding: 0.0655 loss: 0.3395 2022/08/26 15:01:51 - mmengine - INFO - Epoch(train) [16][10/63] lr: 9.7743e-04 eta: 7:13:37 time: 0.6603 data_time: 0.1564 memory: 12276 loss_text: 0.2130 loss_kernel: 0.0651 loss_embedding: 0.0657 loss: 0.3438 2022/08/26 15:01:53 - mmengine - INFO - Epoch(train) [16][15/63] lr: 9.7743e-04 eta: 7:13:37 time: 0.5237 data_time: 0.0291 memory: 12276 loss_text: 0.1913 loss_kernel: 0.0613 loss_embedding: 0.0649 loss: 0.3174 2022/08/26 15:01:56 - mmengine - INFO - Epoch(train) [16][20/63] lr: 9.7743e-04 eta: 7:12:17 time: 0.5157 data_time: 0.0238 memory: 12276 loss_text: 0.1815 loss_kernel: 0.0625 loss_embedding: 0.0689 loss: 0.3130 2022/08/26 15:01:59 - mmengine - INFO - Epoch(train) [16][25/63] lr: 9.7743e-04 eta: 7:12:17 time: 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Epoch(train) [16][50/63] lr: 9.7743e-04 eta: 7:09:42 time: 0.6561 data_time: 0.0412 memory: 12276 loss_text: 0.2080 loss_kernel: 0.0632 loss_embedding: 0.0744 loss: 0.3455 2022/08/26 15:02:17 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:02:17 - mmengine - INFO - Epoch(train) [16][55/63] lr: 9.7743e-04 eta: 7:09:42 time: 0.6116 data_time: 0.0305 memory: 12276 loss_text: 0.2100 loss_kernel: 0.0697 loss_embedding: 0.0724 loss: 0.3521 2022/08/26 15:02:19 - mmengine - INFO - Epoch(train) [16][60/63] lr: 9.7743e-04 eta: 7:08:45 time: 0.5648 data_time: 0.0205 memory: 12276 loss_text: 0.2137 loss_kernel: 0.0684 loss_embedding: 0.0686 loss: 0.3507 2022/08/26 15:02:20 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:02:24 - mmengine - INFO - Epoch(train) [17][5/63] lr: 9.7593e-04 eta: 7:08:45 time: 0.5750 data_time: 0.1328 memory: 12276 loss_text: 0.2013 loss_kernel: 0.0663 loss_embedding: 0.0717 loss: 0.3393 2022/08/26 15:02:27 - mmengine - INFO - Epoch(train) [17][10/63] lr: 9.7593e-04 eta: 7:07:20 time: 0.6982 data_time: 0.1449 memory: 12276 loss_text: 0.1998 loss_kernel: 0.0653 loss_embedding: 0.0678 loss: 0.3329 2022/08/26 15:02:30 - mmengine - INFO - Epoch(train) [17][15/63] lr: 9.7593e-04 eta: 7:07:20 time: 0.6030 data_time: 0.0362 memory: 12276 loss_text: 0.1840 loss_kernel: 0.0613 loss_embedding: 0.0607 loss: 0.3060 2022/08/26 15:02:33 - mmengine - INFO - Epoch(train) [17][20/63] lr: 9.7593e-04 eta: 7:06:11 time: 0.5230 data_time: 0.0240 memory: 12276 loss_text: 0.1815 loss_kernel: 0.0597 loss_embedding: 0.0626 loss: 0.3039 2022/08/26 15:02:35 - mmengine - INFO - Epoch(train) [17][25/63] lr: 9.7593e-04 eta: 7:06:11 time: 0.4999 data_time: 0.0214 memory: 12276 loss_text: 0.1934 loss_kernel: 0.0610 loss_embedding: 0.0655 loss: 0.3199 2022/08/26 15:02:38 - mmengine - INFO - Epoch(train) [17][30/63] lr: 9.7593e-04 eta: 7:05:00 time: 0.5159 data_time: 0.0359 memory: 12276 loss_text: 0.1826 loss_kernel: 0.0623 loss_embedding: 0.0668 loss: 0.3116 2022/08/26 15:02:40 - mmengine - INFO - Epoch(train) [17][35/63] lr: 9.7593e-04 eta: 7:05:00 time: 0.5215 data_time: 0.0360 memory: 12276 loss_text: 0.2005 loss_kernel: 0.0642 loss_embedding: 0.0689 loss: 0.3336 2022/08/26 15:02:43 - mmengine - INFO - Epoch(train) [17][40/63] lr: 9.7593e-04 eta: 7:03:42 time: 0.4910 data_time: 0.0211 memory: 12276 loss_text: 0.2095 loss_kernel: 0.0644 loss_embedding: 0.0700 loss: 0.3438 2022/08/26 15:02:45 - mmengine - INFO - Epoch(train) [17][45/63] lr: 9.7593e-04 eta: 7:03:42 time: 0.5016 data_time: 0.0194 memory: 12276 loss_text: 0.2008 loss_kernel: 0.0631 loss_embedding: 0.0739 loss: 0.3378 2022/08/26 15:02:48 - mmengine - INFO - Epoch(train) [17][50/63] lr: 9.7593e-04 eta: 7:02:38 time: 0.5267 data_time: 0.0274 memory: 12276 loss_text: 0.2166 loss_kernel: 0.0684 loss_embedding: 0.0738 loss: 0.3589 2022/08/26 15:02:51 - mmengine - INFO - Epoch(train) [17][55/63] lr: 9.7593e-04 eta: 7:02:38 time: 0.5293 data_time: 0.0285 memory: 12276 loss_text: 0.2069 loss_kernel: 0.0672 loss_embedding: 0.0694 loss: 0.3435 2022/08/26 15:02:53 - mmengine - INFO - Epoch(train) [17][60/63] lr: 9.7593e-04 eta: 7:01:30 time: 0.5107 data_time: 0.0199 memory: 12276 loss_text: 0.1868 loss_kernel: 0.0599 loss_embedding: 0.0554 loss: 0.3021 2022/08/26 15:02:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:02:59 - mmengine - INFO - Epoch(train) [18][5/63] lr: 9.7442e-04 eta: 7:01:30 time: 0.6552 data_time: 0.1842 memory: 12276 loss_text: 0.1815 loss_kernel: 0.0591 loss_embedding: 0.0657 loss: 0.3063 2022/08/26 15:03:02 - mmengine - INFO - Epoch(train) [18][10/63] lr: 9.7442e-04 eta: 7:00:26 time: 0.7331 data_time: 0.2056 memory: 12276 loss_text: 0.1820 loss_kernel: 0.0598 loss_embedding: 0.0653 loss: 0.3071 2022/08/26 15:03:05 - mmengine - INFO - Epoch(train) [18][15/63] lr: 9.7442e-04 eta: 7:00:26 time: 0.6487 data_time: 0.0402 memory: 12276 loss_text: 0.1792 loss_kernel: 0.0578 loss_embedding: 0.0626 loss: 0.2996 2022/08/26 15:03:09 - mmengine - INFO - Epoch(train) [18][20/63] lr: 9.7442e-04 eta: 7:00:31 time: 0.7246 data_time: 0.0354 memory: 12276 loss_text: 0.1889 loss_kernel: 0.0607 loss_embedding: 0.0621 loss: 0.3116 2022/08/26 15:03:12 - mmengine - INFO - Epoch(train) [18][25/63] lr: 9.7442e-04 eta: 7:00:31 time: 0.6474 data_time: 0.0483 memory: 12276 loss_text: 0.1837 loss_kernel: 0.0634 loss_embedding: 0.0651 loss: 0.3122 2022/08/26 15:03:14 - mmengine - INFO - Epoch(train) [18][30/63] lr: 9.7442e-04 eta: 6:59:32 time: 0.5305 data_time: 0.0320 memory: 12276 loss_text: 0.1643 loss_kernel: 0.0606 loss_embedding: 0.0707 loss: 0.2957 2022/08/26 15:03:17 - mmengine - INFO - Epoch(train) [18][35/63] lr: 9.7442e-04 eta: 6:59:32 time: 0.5204 data_time: 0.0207 memory: 12276 loss_text: 0.1752 loss_kernel: 0.0577 loss_embedding: 0.0678 loss: 0.3008 2022/08/26 15:03:19 - mmengine - INFO - Epoch(train) [18][40/63] lr: 9.7442e-04 eta: 6:58:27 time: 0.5097 data_time: 0.0215 memory: 12276 loss_text: 0.1714 loss_kernel: 0.0578 loss_embedding: 0.0588 loss: 0.2880 2022/08/26 15:03:22 - mmengine - INFO - Epoch(train) [18][45/63] lr: 9.7442e-04 eta: 6:58:27 time: 0.5213 data_time: 0.0335 memory: 12276 loss_text: 0.1718 loss_kernel: 0.0612 loss_embedding: 0.0658 loss: 0.2988 2022/08/26 15:03:24 - mmengine - INFO - Epoch(train) [18][50/63] lr: 9.7442e-04 eta: 6:57:26 time: 0.5183 data_time: 0.0336 memory: 12276 loss_text: 0.1845 loss_kernel: 0.0618 loss_embedding: 0.0685 loss: 0.3148 2022/08/26 15:03:28 - mmengine - INFO - Epoch(train) [18][55/63] lr: 9.7442e-04 eta: 6:57:26 time: 0.5631 data_time: 0.0229 memory: 12276 loss_text: 0.1854 loss_kernel: 0.0620 loss_embedding: 0.0631 loss: 0.3104 2022/08/26 15:03:30 - mmengine - INFO - Epoch(train) [18][60/63] lr: 9.7442e-04 eta: 6:56:40 time: 0.5618 data_time: 0.0241 memory: 12276 loss_text: 0.1919 loss_kernel: 0.0632 loss_embedding: 0.0674 loss: 0.3224 2022/08/26 15:03:31 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:03:35 - mmengine - INFO - Epoch(train) [19][5/63] lr: 9.7291e-04 eta: 6:56:40 time: 0.5945 data_time: 0.1325 memory: 12276 loss_text: 0.1730 loss_kernel: 0.0639 loss_embedding: 0.0660 loss: 0.3029 2022/08/26 15:03:38 - mmengine - INFO - Epoch(train) [19][10/63] lr: 9.7291e-04 eta: 6:55:10 time: 0.6318 data_time: 0.1370 memory: 12276 loss_text: 0.1652 loss_kernel: 0.0629 loss_embedding: 0.0651 loss: 0.2932 2022/08/26 15:03:40 - mmengine - INFO - Epoch(train) [19][15/63] lr: 9.7291e-04 eta: 6:55:10 time: 0.5054 data_time: 0.0297 memory: 12276 loss_text: 0.1706 loss_kernel: 0.0618 loss_embedding: 0.0615 loss: 0.2939 2022/08/26 15:03:43 - mmengine - INFO - Epoch(train) [19][20/63] lr: 9.7291e-04 eta: 6:54:15 time: 0.5292 data_time: 0.0243 memory: 12276 loss_text: 0.1767 loss_kernel: 0.0615 loss_embedding: 0.0629 loss: 0.3011 2022/08/26 15:03:46 - mmengine - INFO - Epoch(train) [19][25/63] lr: 9.7291e-04 eta: 6:54:15 time: 0.5561 data_time: 0.0331 memory: 12276 loss_text: 0.1732 loss_kernel: 0.0601 loss_embedding: 0.0651 loss: 0.2984 2022/08/26 15:03:48 - mmengine - INFO - Epoch(train) [19][30/63] lr: 9.7291e-04 eta: 6:53:22 time: 0.5311 data_time: 0.0262 memory: 12276 loss_text: 0.1733 loss_kernel: 0.0596 loss_embedding: 0.0740 loss: 0.3069 2022/08/26 15:03:51 - mmengine - INFO - Epoch(train) [19][35/63] lr: 9.7291e-04 eta: 6:53:22 time: 0.5218 data_time: 0.0207 memory: 12276 loss_text: 0.1873 loss_kernel: 0.0634 loss_embedding: 0.0747 loss: 0.3254 2022/08/26 15:03:54 - mmengine - INFO - Epoch(train) [19][40/63] lr: 9.7291e-04 eta: 6:52:29 time: 0.5301 data_time: 0.0273 memory: 12276 loss_text: 0.1826 loss_kernel: 0.0606 loss_embedding: 0.0645 loss: 0.3077 2022/08/26 15:03:57 - mmengine - INFO - Epoch(train) [19][45/63] lr: 9.7291e-04 eta: 6:52:29 time: 0.6524 data_time: 0.0365 memory: 12276 loss_text: 0.1838 loss_kernel: 0.0570 loss_embedding: 0.0631 loss: 0.3039 2022/08/26 15:04:00 - mmengine - INFO - Epoch(train) [19][50/63] lr: 9.7291e-04 eta: 6:52:24 time: 0.6818 data_time: 0.0345 memory: 12276 loss_text: 0.1855 loss_kernel: 0.0582 loss_embedding: 0.0656 loss: 0.3093 2022/08/26 15:04:03 - mmengine - INFO - Epoch(train) [19][55/63] lr: 9.7291e-04 eta: 6:52:24 time: 0.5925 data_time: 0.0268 memory: 12276 loss_text: 0.1763 loss_kernel: 0.0598 loss_embedding: 0.0611 loss: 0.2972 2022/08/26 15:04:06 - mmengine - INFO - Epoch(train) [19][60/63] lr: 9.7291e-04 eta: 6:51:37 time: 0.5445 data_time: 0.0295 memory: 12276 loss_text: 0.1738 loss_kernel: 0.0618 loss_embedding: 0.0580 loss: 0.2937 2022/08/26 15:04:07 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:04:11 - mmengine - INFO - Epoch(train) [20][5/63] lr: 9.7141e-04 eta: 6:51:37 time: 0.6162 data_time: 0.1405 memory: 12276 loss_text: 0.1605 loss_kernel: 0.0569 loss_embedding: 0.0591 loss: 0.2764 2022/08/26 15:04:14 - mmengine - INFO - Epoch(train) [20][10/63] lr: 9.7141e-04 eta: 6:50:13 time: 0.6278 data_time: 0.1312 memory: 12276 loss_text: 0.1621 loss_kernel: 0.0564 loss_embedding: 0.0545 loss: 0.2730 2022/08/26 15:04:17 - mmengine - INFO - Epoch(train) [20][15/63] lr: 9.7141e-04 eta: 6:50:13 time: 0.5421 data_time: 0.0311 memory: 12276 loss_text: 0.1633 loss_kernel: 0.0570 loss_embedding: 0.0521 loss: 0.2725 2022/08/26 15:04:19 - mmengine - INFO - Epoch(train) [20][20/63] lr: 9.7141e-04 eta: 6:49:32 time: 0.5571 data_time: 0.0338 memory: 12276 loss_text: 0.1716 loss_kernel: 0.0613 loss_embedding: 0.0565 loss: 0.2894 2022/08/26 15:04:22 - mmengine - INFO - Epoch(train) [20][25/63] lr: 9.7141e-04 eta: 6:49:32 time: 0.5364 data_time: 0.0267 memory: 12276 loss_text: 0.1801 loss_kernel: 0.0654 loss_embedding: 0.0607 loss: 0.3061 2022/08/26 15:04:24 - mmengine - INFO - Epoch(train) [20][30/63] lr: 9.7141e-04 eta: 6:48:40 time: 0.5216 data_time: 0.0245 memory: 12276 loss_text: 0.1845 loss_kernel: 0.0625 loss_embedding: 0.0656 loss: 0.3126 2022/08/26 15:04:27 - mmengine - INFO - Epoch(train) [20][35/63] lr: 9.7141e-04 eta: 6:48:40 time: 0.5049 data_time: 0.0282 memory: 12276 loss_text: 0.1810 loss_kernel: 0.0615 loss_embedding: 0.0663 loss: 0.3088 2022/08/26 15:04:30 - mmengine - INFO - Epoch(train) [20][40/63] lr: 9.7141e-04 eta: 6:47:47 time: 0.5133 data_time: 0.0287 memory: 12276 loss_text: 0.1877 loss_kernel: 0.0685 loss_embedding: 0.0604 loss: 0.3165 2022/08/26 15:04:32 - mmengine - INFO - Epoch(train) [20][45/63] lr: 9.7141e-04 eta: 6:47:47 time: 0.5215 data_time: 0.0222 memory: 12276 loss_text: 0.1916 loss_kernel: 0.0665 loss_embedding: 0.0602 loss: 0.3183 2022/08/26 15:04:35 - mmengine - INFO - Epoch(train) [20][50/63] lr: 9.7141e-04 eta: 6:46:57 time: 0.5216 data_time: 0.0219 memory: 12276 loss_text: 0.1976 loss_kernel: 0.0621 loss_embedding: 0.0614 loss: 0.3210 2022/08/26 15:04:38 - mmengine - INFO - Epoch(train) [20][55/63] lr: 9.7141e-04 eta: 6:46:57 time: 0.5687 data_time: 0.0324 memory: 12276 loss_text: 0.1974 loss_kernel: 0.0596 loss_embedding: 0.0617 loss: 0.3187 2022/08/26 15:04:40 - mmengine - INFO - Epoch(train) [20][60/63] lr: 9.7141e-04 eta: 6:46:18 time: 0.5581 data_time: 0.0343 memory: 12276 loss_text: 0.1812 loss_kernel: 0.0584 loss_embedding: 0.0658 loss: 0.3054 2022/08/26 15:04:42 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:04:42 - mmengine - INFO - Saving checkpoint at 20 epochs 2022/08/26 15:06:15 - mmengine - INFO - Epoch(val) [20][5/500] eta: 6:46:18 time: 18.1781 data_time: 17.0546 memory: 33702 2022/08/26 15:06:17 - mmengine - INFO - Epoch(val) [20][10/500] eta: 1:15:12 time: 9.2090 data_time: 8.5291 memory: 33678 2022/08/26 15:06:19 - mmengine - INFO - Epoch(val) [20][15/500] eta: 1:15:12 time: 0.3559 data_time: 0.0027 memory: 33678 2022/08/26 15:06:20 - mmengine - INFO - Epoch(val) [20][20/500] eta: 0:02:59 time: 0.3745 data_time: 0.0017 memory: 33684 2022/08/26 15:06:21 - mmengine - INFO - Epoch(val) [20][25/500] eta: 0:02:59 time: 0.2402 data_time: 0.0016 memory: 8737 2022/08/26 15:06:23 - mmengine - INFO - Epoch(val) [20][30/500] eta: 0:01:53 time: 0.2421 data_time: 0.0027 memory: 33702 2022/08/26 15:06:23 - mmengine - INFO - Epoch(val) [20][35/500] eta: 0:01:53 time: 0.1529 data_time: 0.0028 memory: 497 2022/08/26 15:06:23 - mmengine - INFO - Epoch(val) [20][40/500] eta: 0:00:12 time: 0.0278 data_time: 0.0018 memory: 497 2022/08/26 15:06:24 - mmengine - INFO - Epoch(val) [20][45/500] eta: 0:00:12 time: 0.1039 data_time: 0.0017 memory: 33637 2022/08/26 15:06:26 - mmengine - INFO - Epoch(val) [20][50/500] eta: 0:02:25 time: 0.3229 data_time: 0.0015 memory: 33667 2022/08/26 15:06:27 - mmengine - INFO - Epoch(val) [20][55/500] eta: 0:02:25 time: 0.2993 data_time: 0.0063 memory: 8742 2022/08/26 15:06:27 - mmengine - INFO - Epoch(val) [20][60/500] eta: 0:00:32 time: 0.0748 data_time: 0.0062 memory: 497 2022/08/26 15:06:28 - mmengine - INFO - Epoch(val) [20][65/500] eta: 0:00:32 time: 0.0726 data_time: 0.0023 memory: 8747 2022/08/26 15:06:28 - mmengine - INFO - Epoch(val) [20][70/500] eta: 0:00:34 time: 0.0804 data_time: 0.0026 memory: 497 2022/08/26 15:06:29 - mmengine - INFO - Epoch(val) [20][75/500] eta: 0:00:34 time: 0.1347 data_time: 0.0023 memory: 8743 2022/08/26 15:06:29 - mmengine - INFO - Epoch(val) [20][80/500] eta: 0:00:59 time: 0.1426 data_time: 0.0029 memory: 497 2022/08/26 15:06:32 - mmengine - INFO - Epoch(val) [20][85/500] eta: 0:00:59 time: 0.3296 data_time: 0.0027 memory: 8744 2022/08/26 15:06:34 - mmengine - INFO - Epoch(val) [20][90/500] eta: 0:03:02 time: 0.4448 data_time: 0.0020 memory: 33656 2022/08/26 15:06:37 - mmengine - INFO - Epoch(val) [20][95/500] eta: 0:03:02 time: 0.4354 data_time: 0.0020 memory: 8855 2022/08/26 15:06:38 - mmengine - INFO - Epoch(val) [20][100/500] eta: 0:02:41 time: 0.4034 data_time: 0.0020 memory: 8744 2022/08/26 15:06:38 - mmengine - INFO - Epoch(val) [20][105/500] eta: 0:02:41 time: 0.1190 data_time: 0.0015 memory: 539 2022/08/26 15:06:41 - mmengine - INFO - Epoch(val) [20][110/500] eta: 0:01:54 time: 0.2938 data_time: 0.0014 memory: 33661 2022/08/26 15:06:41 - mmengine - INFO - Epoch(val) [20][115/500] eta: 0:01:54 time: 0.2947 data_time: 0.0022 memory: 497 2022/08/26 15:06:42 - mmengine - INFO - Epoch(val) [20][120/500] eta: 0:00:42 time: 0.1110 data_time: 0.0024 memory: 8740 2022/08/26 15:06:42 - mmengine - INFO - Epoch(val) [20][125/500] eta: 0:00:42 time: 0.1155 data_time: 0.0017 memory: 497 2022/08/26 15:06:42 - mmengine - INFO - Epoch(val) [20][130/500] eta: 0:00:09 time: 0.0253 data_time: 0.0016 memory: 539 2022/08/26 15:06:42 - mmengine - INFO - Epoch(val) [20][135/500] eta: 0:00:09 time: 0.0210 data_time: 0.0015 memory: 497 2022/08/26 15:06:42 - mmengine - INFO - Epoch(val) [20][140/500] eta: 0:00:07 time: 0.0214 data_time: 0.0015 memory: 480 2022/08/26 15:06:44 - mmengine - INFO - Epoch(val) [20][145/500] eta: 0:00:07 time: 0.1972 data_time: 0.0015 memory: 33643 2022/08/26 15:06:44 - mmengine - INFO - Epoch(val) [20][150/500] eta: 0:01:08 time: 0.1955 data_time: 0.0015 memory: 464 2022/08/26 15:06:47 - mmengine - INFO - Epoch(val) [20][155/500] eta: 0:01:08 time: 0.2815 data_time: 0.0050 memory: 33666 2022/08/26 15:06:47 - mmengine - INFO - Epoch(val) [20][160/500] eta: 0:01:36 time: 0.2850 data_time: 0.0053 memory: 539 2022/08/26 15:06:47 - mmengine - INFO - Epoch(val) [20][165/500] eta: 0:01:36 time: 0.0206 data_time: 0.0017 memory: 497 2022/08/26 15:06:47 - mmengine - INFO - Epoch(val) [20][170/500] eta: 0:00:05 time: 0.0175 data_time: 0.0014 memory: 514 2022/08/26 15:06:47 - mmengine - INFO - Epoch(val) [20][175/500] eta: 0:00:05 time: 0.0183 data_time: 0.0013 memory: 539 2022/08/26 15:06:47 - mmengine - INFO - Epoch(val) [20][180/500] eta: 0:00:06 time: 0.0190 data_time: 0.0013 memory: 539 2022/08/26 15:06:48 - mmengine - INFO - Epoch(val) [20][185/500] eta: 0:00:06 time: 0.0186 data_time: 0.0014 memory: 489 2022/08/26 15:06:49 - mmengine - INFO - Epoch(val) [20][190/500] eta: 0:01:00 time: 0.1941 data_time: 0.0015 memory: 33672 2022/08/26 15:06:50 - mmengine - INFO - Epoch(val) [20][195/500] eta: 0:01:00 time: 0.1948 data_time: 0.0016 memory: 516 2022/08/26 15:06:50 - mmengine - INFO - Epoch(val) [20][200/500] eta: 0:00:05 time: 0.0189 data_time: 0.0014 memory: 516 2022/08/26 15:06:51 - mmengine - INFO - Epoch(val) [20][205/500] eta: 0:00:05 time: 0.1007 data_time: 0.0014 memory: 8754 2022/08/26 15:06:51 - mmengine - INFO - Epoch(val) [20][210/500] eta: 0:00:29 time: 0.1024 data_time: 0.0016 memory: 497 2022/08/26 15:06:51 - mmengine - INFO - Epoch(val) [20][215/500] eta: 0:00:29 time: 0.0219 data_time: 0.0016 memory: 514 2022/08/26 15:06:51 - mmengine - INFO - Epoch(val) [20][220/500] eta: 0:00:06 time: 0.0215 data_time: 0.0015 memory: 572 2022/08/26 15:06:51 - mmengine - INFO - Epoch(val) [20][225/500] eta: 0:00:06 time: 0.0214 data_time: 0.0015 memory: 497 2022/08/26 15:06:52 - mmengine - INFO - Epoch(val) [20][230/500] eta: 0:00:18 time: 0.0704 data_time: 0.0015 memory: 33696 2022/08/26 15:06:52 - mmengine - INFO - Epoch(val) [20][235/500] eta: 0:00:18 time: 0.0764 data_time: 0.0015 memory: 497 2022/08/26 15:06:52 - mmengine - INFO - Epoch(val) [20][240/500] eta: 0:00:06 time: 0.0263 data_time: 0.0014 memory: 497 2022/08/26 15:06:52 - mmengine - INFO - Epoch(val) [20][245/500] eta: 0:00:06 time: 0.0188 data_time: 0.0014 memory: 648 2022/08/26 15:06:52 - mmengine - INFO - Epoch(val) [20][250/500] eta: 0:00:04 time: 0.0196 data_time: 0.0015 memory: 497 2022/08/26 15:06:53 - mmengine - INFO - Epoch(val) [20][255/500] eta: 0:00:04 time: 0.1166 data_time: 0.0015 memory: 33684 2022/08/26 15:06:53 - mmengine - INFO - Epoch(val) [20][260/500] eta: 0:00:27 time: 0.1158 data_time: 0.0016 memory: 516 2022/08/26 15:06:54 - mmengine - INFO - Epoch(val) [20][265/500] eta: 0:00:27 time: 0.0974 data_time: 0.0030 memory: 8750 2022/08/26 15:06:54 - mmengine - INFO - Epoch(val) [20][270/500] eta: 0:00:24 time: 0.1048 data_time: 0.0031 memory: 505 2022/08/26 15:06:54 - mmengine - INFO - Epoch(val) [20][275/500] eta: 0:00:24 time: 0.0285 data_time: 0.0017 memory: 539 2022/08/26 15:06:54 - mmengine - INFO - Epoch(val) [20][280/500] eta: 0:00:04 time: 0.0221 data_time: 0.0014 memory: 472 2022/08/26 15:06:55 - mmengine - INFO - Epoch(val) [20][285/500] eta: 0:00:04 time: 0.0186 data_time: 0.0014 memory: 480 2022/08/26 15:06:55 - mmengine - INFO - Epoch(val) [20][290/500] eta: 0:00:12 time: 0.0583 data_time: 0.0014 memory: 33661 2022/08/26 15:06:55 - mmengine - INFO - Epoch(val) [20][295/500] eta: 0:00:12 time: 0.0607 data_time: 0.0016 memory: 489 2022/08/26 15:06:55 - mmengine - INFO - Epoch(val) [20][300/500] eta: 0:00:04 time: 0.0209 data_time: 0.0016 memory: 497 2022/08/26 15:06:55 - mmengine - INFO - Epoch(val) [20][305/500] eta: 0:00:04 time: 0.0200 data_time: 0.0015 memory: 597 2022/08/26 15:06:56 - mmengine - INFO - Epoch(val) [20][310/500] eta: 0:00:23 time: 0.1256 data_time: 0.0016 memory: 8748 2022/08/26 15:06:57 - mmengine - INFO - Epoch(val) [20][315/500] eta: 0:00:23 time: 0.1321 data_time: 0.0020 memory: 539 2022/08/26 15:06:58 - mmengine - INFO - Epoch(val) [20][320/500] eta: 0:00:25 time: 0.1429 data_time: 0.0020 memory: 33690 2022/08/26 15:06:58 - mmengine - INFO - Epoch(val) [20][325/500] eta: 0:00:25 time: 0.1368 data_time: 0.0017 memory: 497 2022/08/26 15:06:58 - mmengine - INFO - Epoch(val) [20][330/500] eta: 0:00:03 time: 0.0194 data_time: 0.0014 memory: 497 2022/08/26 15:06:58 - mmengine - INFO - Epoch(val) [20][335/500] eta: 0:00:03 time: 0.0201 data_time: 0.0014 memory: 497 2022/08/26 15:06:58 - mmengine - INFO - Epoch(val) [20][340/500] eta: 0:00:03 time: 0.0211 data_time: 0.0014 memory: 522 2022/08/26 15:06:58 - mmengine - INFO - Epoch(val) [20][345/500] eta: 0:00:03 time: 0.0212 data_time: 0.0014 memory: 572 2022/08/26 15:06:59 - mmengine - INFO - Epoch(val) [20][350/500] eta: 0:00:03 time: 0.0209 data_time: 0.0014 memory: 498 2022/08/26 15:06:59 - mmengine - INFO - Epoch(val) [20][355/500] eta: 0:00:03 time: 0.0250 data_time: 0.0015 memory: 525 2022/08/26 15:06:59 - mmengine - INFO - Epoch(val) [20][360/500] eta: 0:00:03 time: 0.0263 data_time: 0.0015 memory: 525 2022/08/26 15:06:59 - mmengine - INFO - Epoch(val) [20][365/500] eta: 0:00:03 time: 0.0723 data_time: 0.0016 memory: 8758 2022/08/26 15:06:59 - mmengine - INFO - Epoch(val) [20][370/500] eta: 0:00:09 time: 0.0697 data_time: 0.0015 memory: 539 2022/08/26 15:07:01 - mmengine - INFO - Epoch(val) [20][375/500] eta: 0:00:09 time: 0.2051 data_time: 0.0014 memory: 33644 2022/08/26 15:07:02 - mmengine - INFO - Epoch(val) [20][380/500] eta: 0:00:24 time: 0.2067 data_time: 0.0015 memory: 572 2022/08/26 15:07:02 - mmengine - INFO - Epoch(val) [20][385/500] eta: 0:00:24 time: 0.0190 data_time: 0.0015 memory: 497 2022/08/26 15:07:02 - mmengine - INFO - Epoch(val) [20][390/500] eta: 0:00:02 time: 0.0183 data_time: 0.0014 memory: 539 2022/08/26 15:07:02 - mmengine - INFO - Epoch(val) [20][395/500] eta: 0:00:02 time: 0.0242 data_time: 0.0013 memory: 489 2022/08/26 15:07:02 - mmengine - INFO - Epoch(val) [20][400/500] eta: 0:00:02 time: 0.0261 data_time: 0.0013 memory: 497 2022/08/26 15:07:02 - mmengine - INFO - Epoch(val) [20][405/500] eta: 0:00:02 time: 0.0199 data_time: 0.0014 memory: 497 2022/08/26 15:07:02 - mmengine - INFO - Epoch(val) [20][410/500] eta: 0:00:01 time: 0.0184 data_time: 0.0014 memory: 497 2022/08/26 15:07:02 - mmengine - INFO - Epoch(val) [20][415/500] eta: 0:00:01 time: 0.0205 data_time: 0.0013 memory: 497 2022/08/26 15:07:02 - mmengine - INFO - Epoch(val) [20][420/500] eta: 0:00:01 time: 0.0220 data_time: 0.0013 memory: 497 2022/08/26 15:07:03 - mmengine - INFO - Epoch(val) [20][425/500] eta: 0:00:01 time: 0.0219 data_time: 0.0013 memory: 489 2022/08/26 15:07:03 - mmengine - INFO - Epoch(val) [20][430/500] eta: 0:00:01 time: 0.0194 data_time: 0.0014 memory: 516 2022/08/26 15:07:03 - mmengine - INFO - Epoch(val) [20][435/500] eta: 0:00:01 time: 0.0672 data_time: 0.0015 memory: 8755 2022/08/26 15:07:03 - mmengine - INFO - Epoch(val) [20][440/500] eta: 0:00:04 time: 0.0699 data_time: 0.0014 memory: 539 2022/08/26 15:07:03 - mmengine - INFO - Epoch(val) [20][445/500] eta: 0:00:04 time: 0.0199 data_time: 0.0014 memory: 489 2022/08/26 15:07:03 - mmengine - INFO - Epoch(val) [20][450/500] eta: 0:00:00 time: 0.0176 data_time: 0.0014 memory: 507 2022/08/26 15:07:04 - mmengine - INFO - Epoch(val) [20][455/500] eta: 0:00:00 time: 0.0200 data_time: 0.0014 memory: 606 2022/08/26 15:07:04 - mmengine - INFO - Epoch(val) [20][460/500] eta: 0:00:00 time: 0.0193 data_time: 0.0014 memory: 498 2022/08/26 15:07:04 - mmengine - INFO - Epoch(val) [20][465/500] eta: 0:00:00 time: 0.0197 data_time: 0.0014 memory: 539 2022/08/26 15:07:04 - mmengine - INFO - Epoch(val) [20][470/500] eta: 0:00:00 time: 0.0194 data_time: 0.0014 memory: 516 2022/08/26 15:07:04 - mmengine - INFO - Epoch(val) [20][475/500] eta: 0:00:00 time: 0.0183 data_time: 0.0014 memory: 507 2022/08/26 15:07:04 - mmengine - INFO - Epoch(val) [20][480/500] eta: 0:00:00 time: 0.0180 data_time: 0.0014 memory: 464 2022/08/26 15:07:04 - mmengine - INFO - Epoch(val) [20][485/500] eta: 0:00:00 time: 0.0175 data_time: 0.0014 memory: 497 2022/08/26 15:07:04 - mmengine - INFO - Epoch(val) [20][490/500] eta: 0:00:00 time: 0.0195 data_time: 0.0014 memory: 497 2022/08/26 15:07:04 - mmengine - INFO - Epoch(val) [20][495/500] eta: 0:00:00 time: 0.0191 data_time: 0.0015 memory: 480 2022/08/26 15:07:04 - mmengine - INFO - Epoch(val) [20][500/500] eta: 0:00:00 time: 0.0161 data_time: 0.0014 memory: 522 2022/08/26 15:07:04 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 15:07:05 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.5974, precision: 0.4752, hmean: 0.5293 2022/08/26 15:07:05 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.5974, precision: 0.4752, hmean: 0.5293 2022/08/26 15:07:05 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.5974, precision: 0.4752, hmean: 0.5293 2022/08/26 15:07:05 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.5974, precision: 0.4752, hmean: 0.5293 2022/08/26 15:07:05 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.5974, precision: 0.4752, hmean: 0.5293 2022/08/26 15:07:05 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.5974, precision: 0.4843, hmean: 0.5349 2022/08/26 15:07:05 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.5971, precision: 0.5255, hmean: 0.5590 2022/08/26 15:07:05 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.5961, precision: 0.5784, hmean: 0.5871 2022/08/26 15:07:05 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.5925, precision: 0.6250, hmean: 0.6083 2022/08/26 15:07:05 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.5873, precision: 0.6642, hmean: 0.6234 2022/08/26 15:07:05 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.5763, precision: 0.6987, hmean: 0.6316 2022/08/26 15:07:05 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.5574, precision: 0.7372, hmean: 0.6348 2022/08/26 15:07:05 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.5067, precision: 0.7833, hmean: 0.6153 2022/08/26 15:07:05 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.2185, precision: 0.8924, hmean: 0.3511 2022/08/26 15:07:05 - mmengine - INFO - Epoch(val) [20][500/500] icdar/precision: 0.7372 icdar/recall: 0.5574 icdar/hmean: 0.6348 2022/08/26 15:07:09 - mmengine - INFO - Epoch(train) [21][5/63] lr: 9.6990e-04 eta: 0:00:00 time: 0.6466 data_time: 0.1504 memory: 12277 loss_text: 0.1849 loss_kernel: 0.0633 loss_embedding: 0.0637 loss: 0.3120 2022/08/26 15:07:11 - mmengine - INFO - Epoch(train) [21][10/63] lr: 9.6990e-04 eta: 6:45:17 time: 0.6840 data_time: 0.1592 memory: 12277 loss_text: 0.1854 loss_kernel: 0.0621 loss_embedding: 0.0585 loss: 0.3061 2022/08/26 15:07:14 - mmengine - INFO - Epoch(train) [21][15/63] lr: 9.6990e-04 eta: 6:45:17 time: 0.5358 data_time: 0.0269 memory: 12277 loss_text: 0.1786 loss_kernel: 0.0619 loss_embedding: 0.0627 loss: 0.3032 2022/08/26 15:07:17 - mmengine - INFO - Epoch(train) [21][20/63] lr: 9.6990e-04 eta: 6:44:28 time: 0.5174 data_time: 0.0210 memory: 12277 loss_text: 0.1589 loss_kernel: 0.0592 loss_embedding: 0.0609 loss: 0.2790 2022/08/26 15:07:19 - mmengine - INFO - Epoch(train) [21][25/63] lr: 9.6990e-04 eta: 6:44:28 time: 0.5281 data_time: 0.0251 memory: 12277 loss_text: 0.1652 loss_kernel: 0.0592 loss_embedding: 0.0608 loss: 0.2853 2022/08/26 15:07:23 - mmengine - INFO - Epoch(train) [21][30/63] lr: 9.6990e-04 eta: 6:44:10 time: 0.6230 data_time: 0.0339 memory: 12277 loss_text: 0.1750 loss_kernel: 0.0621 loss_embedding: 0.0683 loss: 0.3054 2022/08/26 15:07:26 - mmengine - INFO - Epoch(train) [21][35/63] lr: 9.6990e-04 eta: 6:44:10 time: 0.6232 data_time: 0.0304 memory: 12277 loss_text: 0.1718 loss_kernel: 0.0624 loss_embedding: 0.0664 loss: 0.3007 2022/08/26 15:07:29 - mmengine - INFO - Epoch(train) [21][40/63] lr: 9.6990e-04 eta: 6:43:39 time: 0.5803 data_time: 0.0232 memory: 12277 loss_text: 0.1724 loss_kernel: 0.0634 loss_embedding: 0.0600 loss: 0.2957 2022/08/26 15:07:31 - mmengine - INFO - Epoch(train) [21][45/63] lr: 9.6990e-04 eta: 6:43:39 time: 0.5897 data_time: 0.0264 memory: 12277 loss_text: 0.1709 loss_kernel: 0.0619 loss_embedding: 0.0628 loss: 0.2956 2022/08/26 15:07:34 - mmengine - INFO - Epoch(train) [21][50/63] lr: 9.6990e-04 eta: 6:43:01 time: 0.5486 data_time: 0.0274 memory: 12277 loss_text: 0.1732 loss_kernel: 0.0593 loss_embedding: 0.0665 loss: 0.2990 2022/08/26 15:07:37 - mmengine - INFO - Epoch(train) [21][55/63] lr: 9.6990e-04 eta: 6:43:01 time: 0.5372 data_time: 0.0282 memory: 12277 loss_text: 0.1959 loss_kernel: 0.0656 loss_embedding: 0.0624 loss: 0.3239 2022/08/26 15:07:39 - mmengine - INFO - Epoch(train) [21][60/63] lr: 9.6990e-04 eta: 6:42:16 time: 0.5228 data_time: 0.0246 memory: 12277 loss_text: 0.1971 loss_kernel: 0.0647 loss_embedding: 0.0568 loss: 0.3186 2022/08/26 15:07:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:07:45 - mmengine - INFO - Epoch(train) [22][5/63] lr: 9.6839e-04 eta: 6:42:16 time: 0.6180 data_time: 0.1341 memory: 12277 loss_text: 0.1674 loss_kernel: 0.0654 loss_embedding: 0.0557 loss: 0.2885 2022/08/26 15:07:47 - mmengine - INFO - Epoch(train) [22][10/63] lr: 9.6839e-04 eta: 6:41:15 time: 0.6707 data_time: 0.1493 memory: 12277 loss_text: 0.1663 loss_kernel: 0.0615 loss_embedding: 0.0652 loss: 0.2929 2022/08/26 15:07:50 - mmengine - INFO - Epoch(train) [22][15/63] lr: 9.6839e-04 eta: 6:41:15 time: 0.5335 data_time: 0.0403 memory: 12277 loss_text: 0.1744 loss_kernel: 0.0577 loss_embedding: 0.0620 loss: 0.2941 2022/08/26 15:07:53 - mmengine - INFO - Epoch(train) [22][20/63] lr: 9.6839e-04 eta: 6:40:27 time: 0.5067 data_time: 0.0233 memory: 12277 loss_text: 0.1863 loss_kernel: 0.0650 loss_embedding: 0.0538 loss: 0.3051 2022/08/26 15:07:55 - mmengine - INFO - Epoch(train) [22][25/63] lr: 9.6839e-04 eta: 6:40:27 time: 0.5360 data_time: 0.0249 memory: 12277 loss_text: 0.1801 loss_kernel: 0.0686 loss_embedding: 0.0571 loss: 0.3058 2022/08/26 15:07:59 - mmengine - INFO - Epoch(train) [22][30/63] lr: 9.6839e-04 eta: 6:40:06 time: 0.6072 data_time: 0.0347 memory: 12277 loss_text: 0.1776 loss_kernel: 0.0611 loss_embedding: 0.0545 loss: 0.2932 2022/08/26 15:08:01 - mmengine - INFO - Epoch(train) [22][35/63] lr: 9.6839e-04 eta: 6:40:06 time: 0.5814 data_time: 0.0335 memory: 12277 loss_text: 0.1784 loss_kernel: 0.0575 loss_embedding: 0.0485 loss: 0.2843 2022/08/26 15:08:04 - mmengine - INFO - Epoch(train) [22][40/63] lr: 9.6839e-04 eta: 6:39:23 time: 0.5231 data_time: 0.0284 memory: 12277 loss_text: 0.1761 loss_kernel: 0.0580 loss_embedding: 0.0504 loss: 0.2846 2022/08/26 15:08:06 - mmengine - INFO - Epoch(train) [22][45/63] lr: 9.6839e-04 eta: 6:39:23 time: 0.5221 data_time: 0.0298 memory: 12277 loss_text: 0.1631 loss_kernel: 0.0562 loss_embedding: 0.0543 loss: 0.2737 2022/08/26 15:08:09 - mmengine - INFO - Epoch(train) [22][50/63] lr: 9.6839e-04 eta: 6:38:37 time: 0.5071 data_time: 0.0289 memory: 12277 loss_text: 0.1528 loss_kernel: 0.0592 loss_embedding: 0.0563 loss: 0.2683 2022/08/26 15:08:11 - mmengine - INFO - Epoch(train) [22][55/63] lr: 9.6839e-04 eta: 6:38:37 time: 0.5070 data_time: 0.0260 memory: 12277 loss_text: 0.1613 loss_kernel: 0.0602 loss_embedding: 0.0564 loss: 0.2778 2022/08/26 15:08:14 - mmengine - INFO - Epoch(train) [22][60/63] lr: 9.6839e-04 eta: 6:38:03 time: 0.5538 data_time: 0.0319 memory: 12277 loss_text: 0.1661 loss_kernel: 0.0558 loss_embedding: 0.0551 loss: 0.2770 2022/08/26 15:08:16 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:08:21 - mmengine - INFO - Epoch(train) [23][5/63] lr: 9.6688e-04 eta: 6:38:03 time: 0.8378 data_time: 0.1943 memory: 12277 loss_text: 0.1684 loss_kernel: 0.0585 loss_embedding: 0.0591 loss: 0.2859 2022/08/26 15:08:24 - mmengine - INFO - Epoch(train) [23][10/63] lr: 9.6688e-04 eta: 6:37:46 time: 0.8193 data_time: 0.2048 memory: 12277 loss_text: 0.1548 loss_kernel: 0.0568 loss_embedding: 0.0528 loss: 0.2644 2022/08/26 15:08:27 - mmengine - INFO - Epoch(train) [23][15/63] lr: 9.6688e-04 eta: 6:37:46 time: 0.5338 data_time: 0.0304 memory: 12277 loss_text: 0.1475 loss_kernel: 0.0550 loss_embedding: 0.0509 loss: 0.2534 2022/08/26 15:08:29 - mmengine - INFO - Epoch(train) [23][20/63] lr: 9.6688e-04 eta: 6:37:05 time: 0.5220 data_time: 0.0240 memory: 12277 loss_text: 0.1716 loss_kernel: 0.0589 loss_embedding: 0.0482 loss: 0.2788 2022/08/26 15:08:32 - mmengine - INFO - Epoch(train) [23][25/63] lr: 9.6688e-04 eta: 6:37:05 time: 0.5081 data_time: 0.0254 memory: 12277 loss_text: 0.1944 loss_kernel: 0.0628 loss_embedding: 0.0558 loss: 0.3130 2022/08/26 15:08:35 - mmengine - INFO - Epoch(train) [23][30/63] lr: 9.6688e-04 eta: 6:36:23 time: 0.5188 data_time: 0.0304 memory: 12277 loss_text: 0.1605 loss_kernel: 0.0583 loss_embedding: 0.0643 loss: 0.2831 2022/08/26 15:08:37 - mmengine - INFO - Epoch(train) [23][35/63] lr: 9.6688e-04 eta: 6:36:23 time: 0.5345 data_time: 0.0306 memory: 12277 loss_text: 0.1561 loss_kernel: 0.0569 loss_embedding: 0.0625 loss: 0.2755 2022/08/26 15:08:40 - mmengine - INFO - Epoch(train) [23][40/63] lr: 9.6688e-04 eta: 6:35:47 time: 0.5380 data_time: 0.0231 memory: 12277 loss_text: 0.1665 loss_kernel: 0.0592 loss_embedding: 0.0592 loss: 0.2849 2022/08/26 15:08:43 - mmengine - INFO - Epoch(train) [23][45/63] lr: 9.6688e-04 eta: 6:35:47 time: 0.5304 data_time: 0.0261 memory: 12277 loss_text: 0.1710 loss_kernel: 0.0590 loss_embedding: 0.0584 loss: 0.2884 2022/08/26 15:08:45 - mmengine - INFO - Epoch(train) [23][50/63] lr: 9.6688e-04 eta: 6:35:08 time: 0.5217 data_time: 0.0340 memory: 12277 loss_text: 0.1771 loss_kernel: 0.0601 loss_embedding: 0.0631 loss: 0.3003 2022/08/26 15:08:48 - mmengine - INFO - Epoch(train) [23][55/63] lr: 9.6688e-04 eta: 6:35:08 time: 0.5415 data_time: 0.0357 memory: 12277 loss_text: 0.1660 loss_kernel: 0.0581 loss_embedding: 0.0558 loss: 0.2798 2022/08/26 15:08:51 - mmengine - INFO - Epoch(train) [23][60/63] lr: 9.6688e-04 eta: 6:34:33 time: 0.5392 data_time: 0.0265 memory: 12277 loss_text: 0.1586 loss_kernel: 0.0564 loss_embedding: 0.0537 loss: 0.2688 2022/08/26 15:08:52 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:08:55 - mmengine - INFO - Epoch(train) [24][5/63] lr: 9.6538e-04 eta: 6:34:33 time: 0.5666 data_time: 0.1075 memory: 12277 loss_text: 0.1479 loss_kernel: 0.0596 loss_embedding: 0.0524 loss: 0.2598 2022/08/26 15:08:58 - mmengine - INFO - Epoch(train) [24][10/63] lr: 9.6538e-04 eta: 6:33:33 time: 0.6405 data_time: 0.1355 memory: 12277 loss_text: 0.1499 loss_kernel: 0.0572 loss_embedding: 0.0563 loss: 0.2634 2022/08/26 15:09:01 - mmengine - INFO - Epoch(train) [24][15/63] lr: 9.6538e-04 eta: 6:33:33 time: 0.5439 data_time: 0.0431 memory: 12277 loss_text: 0.1748 loss_kernel: 0.0605 loss_embedding: 0.0527 loss: 0.2879 2022/08/26 15:09:03 - mmengine - INFO - Epoch(train) [24][20/63] lr: 9.6538e-04 eta: 6:32:51 time: 0.5050 data_time: 0.0194 memory: 12277 loss_text: 0.1863 loss_kernel: 0.0621 loss_embedding: 0.0525 loss: 0.3008 2022/08/26 15:09:06 - mmengine - INFO - Epoch(train) [24][25/63] lr: 9.6538e-04 eta: 6:32:51 time: 0.5677 data_time: 0.0283 memory: 12277 loss_text: 0.1626 loss_kernel: 0.0598 loss_embedding: 0.0525 loss: 0.2749 2022/08/26 15:09:09 - mmengine - INFO - Epoch(train) [24][30/63] lr: 9.6538e-04 eta: 6:32:34 time: 0.6090 data_time: 0.0424 memory: 12277 loss_text: 0.1595 loss_kernel: 0.0604 loss_embedding: 0.0540 loss: 0.2739 2022/08/26 15:09:13 - mmengine - INFO - Epoch(train) [24][35/63] lr: 9.6538e-04 eta: 6:32:34 time: 0.6721 data_time: 0.0406 memory: 12277 loss_text: 0.1673 loss_kernel: 0.0592 loss_embedding: 0.0608 loss: 0.2874 2022/08/26 15:09:16 - mmengine - INFO - Epoch(train) [24][40/63] lr: 9.6538e-04 eta: 6:32:20 time: 0.6168 data_time: 0.0282 memory: 12277 loss_text: 0.1648 loss_kernel: 0.0582 loss_embedding: 0.0616 loss: 0.2846 2022/08/26 15:09:18 - mmengine - INFO - Epoch(train) [24][45/63] lr: 9.6538e-04 eta: 6:32:20 time: 0.4971 data_time: 0.0262 memory: 12277 loss_text: 0.1859 loss_kernel: 0.0657 loss_embedding: 0.0580 loss: 0.3096 2022/08/26 15:09:21 - mmengine - INFO - Epoch(train) [24][50/63] lr: 9.6538e-04 eta: 6:31:41 time: 0.5123 data_time: 0.0277 memory: 12277 loss_text: 0.1868 loss_kernel: 0.0656 loss_embedding: 0.0570 loss: 0.3094 2022/08/26 15:09:23 - mmengine - INFO - Epoch(train) [24][55/63] lr: 9.6538e-04 eta: 6:31:41 time: 0.5139 data_time: 0.0281 memory: 12277 loss_text: 0.1558 loss_kernel: 0.0574 loss_embedding: 0.0585 loss: 0.2717 2022/08/26 15:09:26 - mmengine - INFO - Epoch(train) [24][60/63] lr: 9.6538e-04 eta: 6:31:01 time: 0.5089 data_time: 0.0243 memory: 12277 loss_text: 0.1524 loss_kernel: 0.0585 loss_embedding: 0.0605 loss: 0.2713 2022/08/26 15:09:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:09:31 - mmengine - INFO - Epoch(train) [25][5/63] lr: 9.6387e-04 eta: 6:31:01 time: 0.6194 data_time: 0.1544 memory: 12277 loss_text: 0.1695 loss_kernel: 0.0641 loss_embedding: 0.0518 loss: 0.2853 2022/08/26 15:09:33 - mmengine - INFO - Epoch(train) [25][10/63] lr: 9.6387e-04 eta: 6:30:01 time: 0.6222 data_time: 0.1580 memory: 12277 loss_text: 0.1629 loss_kernel: 0.0638 loss_embedding: 0.0535 loss: 0.2802 2022/08/26 15:09:36 - mmengine - INFO - Epoch(train) [25][15/63] lr: 9.6387e-04 eta: 6:30:01 time: 0.4913 data_time: 0.0255 memory: 12277 loss_text: 0.1643 loss_kernel: 0.0607 loss_embedding: 0.0502 loss: 0.2753 2022/08/26 15:09:38 - mmengine - INFO - Epoch(train) [25][20/63] lr: 9.6387e-04 eta: 6:29:20 time: 0.4996 data_time: 0.0222 memory: 12277 loss_text: 0.1685 loss_kernel: 0.0612 loss_embedding: 0.0537 loss: 0.2834 2022/08/26 15:09:41 - mmengine - INFO - Epoch(train) [25][25/63] lr: 9.6387e-04 eta: 6:29:20 time: 0.5186 data_time: 0.0244 memory: 12277 loss_text: 0.1665 loss_kernel: 0.0633 loss_embedding: 0.0586 loss: 0.2884 2022/08/26 15:09:44 - mmengine - INFO - Epoch(train) [25][30/63] lr: 9.6387e-04 eta: 6:28:47 time: 0.5336 data_time: 0.0315 memory: 12277 loss_text: 0.1763 loss_kernel: 0.0643 loss_embedding: 0.0558 loss: 0.2963 2022/08/26 15:09:46 - mmengine - INFO - Epoch(train) [25][35/63] lr: 9.6387e-04 eta: 6:28:47 time: 0.5301 data_time: 0.0320 memory: 12277 loss_text: 0.1656 loss_kernel: 0.0628 loss_embedding: 0.0519 loss: 0.2803 2022/08/26 15:09:49 - mmengine - INFO - Epoch(train) [25][40/63] lr: 9.6387e-04 eta: 6:28:08 time: 0.5029 data_time: 0.0203 memory: 12277 loss_text: 0.1692 loss_kernel: 0.0623 loss_embedding: 0.0520 loss: 0.2835 2022/08/26 15:09:51 - mmengine - INFO - Epoch(train) [25][45/63] lr: 9.6387e-04 eta: 6:28:08 time: 0.5043 data_time: 0.0190 memory: 12277 loss_text: 0.1866 loss_kernel: 0.0633 loss_embedding: 0.0535 loss: 0.3033 2022/08/26 15:09:54 - mmengine - INFO - Epoch(train) [25][50/63] lr: 9.6387e-04 eta: 6:27:35 time: 0.5268 data_time: 0.0323 memory: 12277 loss_text: 0.1847 loss_kernel: 0.0598 loss_embedding: 0.0515 loss: 0.2960 2022/08/26 15:09:57 - mmengine - INFO - Epoch(train) [25][55/63] lr: 9.6387e-04 eta: 6:27:35 time: 0.5347 data_time: 0.0328 memory: 12277 loss_text: 0.1727 loss_kernel: 0.0578 loss_embedding: 0.0519 loss: 0.2824 2022/08/26 15:09:59 - mmengine - INFO - Epoch(train) [25][60/63] lr: 9.6387e-04 eta: 6:27:05 time: 0.5415 data_time: 0.0215 memory: 12277 loss_text: 0.1724 loss_kernel: 0.0619 loss_embedding: 0.0541 loss: 0.2884 2022/08/26 15:10:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:10:06 - mmengine - INFO - Epoch(train) [26][5/63] lr: 9.6236e-04 eta: 6:27:05 time: 0.7163 data_time: 0.1631 memory: 12277 loss_text: 0.1529 loss_kernel: 0.0595 loss_embedding: 0.0535 loss: 0.2659 2022/08/26 15:10:09 - mmengine - INFO - Epoch(train) [26][10/63] lr: 9.6236e-04 eta: 6:26:41 time: 0.7614 data_time: 0.1840 memory: 12277 loss_text: 0.1626 loss_kernel: 0.0604 loss_embedding: 0.0625 loss: 0.2855 2022/08/26 15:10:12 - mmengine - INFO - Epoch(train) [26][15/63] lr: 9.6236e-04 eta: 6:26:41 time: 0.6261 data_time: 0.0417 memory: 12277 loss_text: 0.1614 loss_kernel: 0.0591 loss_embedding: 0.0611 loss: 0.2816 2022/08/26 15:10:14 - mmengine - INFO - Epoch(train) [26][20/63] lr: 9.6236e-04 eta: 6:26:21 time: 0.5812 data_time: 0.0228 memory: 12277 loss_text: 0.1444 loss_kernel: 0.0557 loss_embedding: 0.0451 loss: 0.2451 2022/08/26 15:10:17 - mmengine - INFO - Epoch(train) [26][25/63] lr: 9.6236e-04 eta: 6:26:21 time: 0.5570 data_time: 0.0255 memory: 12277 loss_text: 0.1529 loss_kernel: 0.0551 loss_embedding: 0.0482 loss: 0.2563 2022/08/26 15:10:20 - mmengine - INFO - Epoch(train) [26][30/63] lr: 9.6236e-04 eta: 6:25:59 time: 0.5721 data_time: 0.0397 memory: 12277 loss_text: 0.1627 loss_kernel: 0.0569 loss_embedding: 0.0568 loss: 0.2764 2022/08/26 15:10:23 - mmengine - INFO - Epoch(train) [26][35/63] lr: 9.6236e-04 eta: 6:25:59 time: 0.5259 data_time: 0.0352 memory: 12277 loss_text: 0.1533 loss_kernel: 0.0560 loss_embedding: 0.0546 loss: 0.2639 2022/08/26 15:10:25 - mmengine - INFO - Epoch(train) [26][40/63] lr: 9.6236e-04 eta: 6:25:26 time: 0.5217 data_time: 0.0212 memory: 12277 loss_text: 0.1676 loss_kernel: 0.0595 loss_embedding: 0.0540 loss: 0.2812 2022/08/26 15:10:28 - mmengine - INFO - Epoch(train) [26][45/63] lr: 9.6236e-04 eta: 6:25:26 time: 0.5292 data_time: 0.0215 memory: 12277 loss_text: 0.1796 loss_kernel: 0.0626 loss_embedding: 0.0536 loss: 0.2958 2022/08/26 15:10:31 - mmengine - INFO - Epoch(train) [26][50/63] lr: 9.6236e-04 eta: 6:24:54 time: 0.5242 data_time: 0.0336 memory: 12277 loss_text: 0.1701 loss_kernel: 0.0624 loss_embedding: 0.0484 loss: 0.2809 2022/08/26 15:10:33 - mmengine - INFO - Epoch(train) [26][55/63] lr: 9.6236e-04 eta: 6:24:54 time: 0.5235 data_time: 0.0346 memory: 12277 loss_text: 0.1818 loss_kernel: 0.0592 loss_embedding: 0.0525 loss: 0.2935 2022/08/26 15:10:36 - mmengine - INFO - Epoch(train) [26][60/63] lr: 9.6236e-04 eta: 6:24:18 time: 0.5045 data_time: 0.0212 memory: 12277 loss_text: 0.1758 loss_kernel: 0.0557 loss_embedding: 0.0556 loss: 0.2871 2022/08/26 15:10:38 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:10:42 - mmengine - INFO - Epoch(train) [27][5/63] lr: 9.6085e-04 eta: 6:24:18 time: 0.7101 data_time: 0.1732 memory: 12277 loss_text: 0.1784 loss_kernel: 0.0600 loss_embedding: 0.0582 loss: 0.2966 2022/08/26 15:10:44 - mmengine - INFO - Epoch(train) [27][10/63] lr: 9.6085e-04 eta: 6:23:38 time: 0.6826 data_time: 0.1831 memory: 12277 loss_text: 0.1701 loss_kernel: 0.0578 loss_embedding: 0.0536 loss: 0.2816 2022/08/26 15:10:47 - mmengine - INFO - Epoch(train) [27][15/63] lr: 9.6085e-04 eta: 6:23:38 time: 0.5229 data_time: 0.0318 memory: 12277 loss_text: 0.1694 loss_kernel: 0.0574 loss_embedding: 0.0519 loss: 0.2787 2022/08/26 15:10:49 - mmengine - INFO - Epoch(train) [27][20/63] lr: 9.6085e-04 eta: 6:23:03 time: 0.5084 data_time: 0.0251 memory: 12277 loss_text: 0.1776 loss_kernel: 0.0577 loss_embedding: 0.0517 loss: 0.2870 2022/08/26 15:10:52 - mmengine - INFO - Epoch(train) [27][25/63] lr: 9.6085e-04 eta: 6:23:03 time: 0.4967 data_time: 0.0237 memory: 12277 loss_text: 0.1873 loss_kernel: 0.0623 loss_embedding: 0.0512 loss: 0.3007 2022/08/26 15:10:54 - mmengine - INFO - Epoch(train) [27][30/63] lr: 9.6085e-04 eta: 6:22:27 time: 0.4980 data_time: 0.0327 memory: 12277 loss_text: 0.1893 loss_kernel: 0.0624 loss_embedding: 0.0538 loss: 0.3055 2022/08/26 15:10:57 - mmengine - INFO - Epoch(train) [27][35/63] lr: 9.6085e-04 eta: 6:22:27 time: 0.5249 data_time: 0.0358 memory: 12277 loss_text: 0.1662 loss_kernel: 0.0547 loss_embedding: 0.0550 loss: 0.2759 2022/08/26 15:11:00 - mmengine - INFO - Epoch(train) [27][40/63] lr: 9.6085e-04 eta: 6:22:02 time: 0.5465 data_time: 0.0271 memory: 12277 loss_text: 0.1617 loss_kernel: 0.0546 loss_embedding: 0.0556 loss: 0.2718 2022/08/26 15:11:04 - mmengine - INFO - Epoch(train) [27][45/63] lr: 9.6085e-04 eta: 6:22:02 time: 0.6630 data_time: 0.0271 memory: 12277 loss_text: 0.1654 loss_kernel: 0.0561 loss_embedding: 0.0578 loss: 0.2793 2022/08/26 15:11:07 - mmengine - INFO - Epoch(train) [27][50/63] lr: 9.6085e-04 eta: 6:22:17 time: 0.7364 data_time: 0.0360 memory: 12277 loss_text: 0.1482 loss_kernel: 0.0556 loss_embedding: 0.0573 loss: 0.2611 2022/08/26 15:11:11 - mmengine - INFO - Epoch(train) [27][55/63] lr: 9.6085e-04 eta: 6:22:17 time: 0.6771 data_time: 0.0418 memory: 12277 loss_text: 0.1554 loss_kernel: 0.0588 loss_embedding: 0.0515 loss: 0.2657 2022/08/26 15:11:13 - mmengine - INFO - Epoch(train) [27][60/63] lr: 9.6085e-04 eta: 6:22:01 time: 0.5900 data_time: 0.0318 memory: 12277 loss_text: 0.1679 loss_kernel: 0.0591 loss_embedding: 0.0504 loss: 0.2774 2022/08/26 15:11:14 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:11:18 - mmengine - INFO - Epoch(train) [28][5/63] lr: 9.5934e-04 eta: 6:22:01 time: 0.6163 data_time: 0.1576 memory: 12277 loss_text: 0.1592 loss_kernel: 0.0603 loss_embedding: 0.0534 loss: 0.2730 2022/08/26 15:11:21 - mmengine - INFO - Epoch(train) [28][10/63] lr: 9.5934e-04 eta: 6:21:21 time: 0.6730 data_time: 0.1810 memory: 12277 loss_text: 0.1560 loss_kernel: 0.0610 loss_embedding: 0.0585 loss: 0.2754 2022/08/26 15:11:24 - mmengine - INFO - Epoch(train) [28][15/63] lr: 9.5934e-04 eta: 6:21:21 time: 0.5422 data_time: 0.0433 memory: 12277 loss_text: 0.1667 loss_kernel: 0.0606 loss_embedding: 0.0586 loss: 0.2859 2022/08/26 15:11:26 - mmengine - INFO - Epoch(train) [28][20/63] lr: 9.5934e-04 eta: 6:20:49 time: 0.5146 data_time: 0.0197 memory: 12277 loss_text: 0.1673 loss_kernel: 0.0583 loss_embedding: 0.0525 loss: 0.2780 2022/08/26 15:11:29 - mmengine - INFO - Epoch(train) [28][25/63] lr: 9.5934e-04 eta: 6:20:49 time: 0.5071 data_time: 0.0213 memory: 12277 loss_text: 0.1754 loss_kernel: 0.0568 loss_embedding: 0.0570 loss: 0.2893 2022/08/26 15:11:31 - mmengine - INFO - Epoch(train) [28][30/63] lr: 9.5934e-04 eta: 6:20:14 time: 0.4925 data_time: 0.0291 memory: 12277 loss_text: 0.1707 loss_kernel: 0.0594 loss_embedding: 0.0529 loss: 0.2829 2022/08/26 15:11:34 - mmengine - INFO - Epoch(train) [28][35/63] lr: 9.5934e-04 eta: 6:20:14 time: 0.5026 data_time: 0.0280 memory: 12277 loss_text: 0.1609 loss_kernel: 0.0574 loss_embedding: 0.0500 loss: 0.2683 2022/08/26 15:11:36 - mmengine - INFO - Epoch(train) [28][40/63] lr: 9.5934e-04 eta: 6:19:42 time: 0.5111 data_time: 0.0206 memory: 12277 loss_text: 0.1756 loss_kernel: 0.0578 loss_embedding: 0.0528 loss: 0.2862 2022/08/26 15:11:39 - mmengine - INFO - Epoch(train) [28][45/63] lr: 9.5934e-04 eta: 6:19:42 time: 0.5092 data_time: 0.0210 memory: 12277 loss_text: 0.1824 loss_kernel: 0.0615 loss_embedding: 0.0554 loss: 0.2993 2022/08/26 15:11:42 - mmengine - INFO - Epoch(train) [28][50/63] lr: 9.5934e-04 eta: 6:19:14 time: 0.5237 data_time: 0.0303 memory: 12277 loss_text: 0.1728 loss_kernel: 0.0612 loss_embedding: 0.0537 loss: 0.2876 2022/08/26 15:11:44 - mmengine - INFO - Epoch(train) [28][55/63] lr: 9.5934e-04 eta: 6:19:14 time: 0.5205 data_time: 0.0312 memory: 12277 loss_text: 0.1706 loss_kernel: 0.0621 loss_embedding: 0.0468 loss: 0.2795 2022/08/26 15:11:47 - mmengine - INFO - Epoch(train) [28][60/63] lr: 9.5934e-04 eta: 6:18:43 time: 0.5121 data_time: 0.0208 memory: 12277 loss_text: 0.1763 loss_kernel: 0.0611 loss_embedding: 0.0485 loss: 0.2860 2022/08/26 15:11:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:11:52 - mmengine - INFO - Epoch(train) [29][5/63] lr: 9.5783e-04 eta: 6:18:43 time: 0.6666 data_time: 0.1950 memory: 12277 loss_text: 0.1765 loss_kernel: 0.0581 loss_embedding: 0.0487 loss: 0.2833 2022/08/26 15:11:55 - mmengine - INFO - Epoch(train) [29][10/63] lr: 9.5783e-04 eta: 6:18:09 time: 0.6910 data_time: 0.2008 memory: 12277 loss_text: 0.1689 loss_kernel: 0.0600 loss_embedding: 0.0521 loss: 0.2810 2022/08/26 15:11:58 - mmengine - INFO - Epoch(train) [29][15/63] lr: 9.5783e-04 eta: 6:18:09 time: 0.5277 data_time: 0.0309 memory: 12277 loss_text: 0.1655 loss_kernel: 0.0582 loss_embedding: 0.0490 loss: 0.2727 2022/08/26 15:12:02 - mmengine - INFO - Epoch(train) [29][20/63] lr: 9.5783e-04 eta: 6:18:11 time: 0.6737 data_time: 0.0291 memory: 12277 loss_text: 0.1648 loss_kernel: 0.0601 loss_embedding: 0.0498 loss: 0.2747 2022/08/26 15:12:04 - mmengine - INFO - Epoch(train) [29][25/63] lr: 9.5783e-04 eta: 6:18:11 time: 0.6552 data_time: 0.0267 memory: 12277 loss_text: 0.1598 loss_kernel: 0.0613 loss_embedding: 0.0568 loss: 0.2780 2022/08/26 15:12:08 - mmengine - INFO - Epoch(train) [29][30/63] lr: 9.5783e-04 eta: 6:18:03 time: 0.6229 data_time: 0.0406 memory: 12277 loss_text: 0.1767 loss_kernel: 0.0660 loss_embedding: 0.0556 loss: 0.2982 2022/08/26 15:12:11 - mmengine - INFO - Epoch(train) [29][35/63] lr: 9.5783e-04 eta: 6:18:03 time: 0.6699 data_time: 0.0400 memory: 12277 loss_text: 0.1744 loss_kernel: 0.0690 loss_embedding: 0.0567 loss: 0.3001 2022/08/26 15:12:14 - mmengine - INFO - Epoch(train) [29][40/63] lr: 9.5783e-04 eta: 6:17:44 time: 0.5659 data_time: 0.0237 memory: 12277 loss_text: 0.1509 loss_kernel: 0.0654 loss_embedding: 0.0582 loss: 0.2744 2022/08/26 15:12:16 - mmengine - INFO - Epoch(train) [29][45/63] lr: 9.5783e-04 eta: 6:17:44 time: 0.5210 data_time: 0.0274 memory: 12277 loss_text: 0.1512 loss_kernel: 0.0636 loss_embedding: 0.0586 loss: 0.2734 2022/08/26 15:12:19 - mmengine - INFO - Epoch(train) [29][50/63] lr: 9.5783e-04 eta: 6:17:20 time: 0.5381 data_time: 0.0358 memory: 12277 loss_text: 0.1497 loss_kernel: 0.0584 loss_embedding: 0.0576 loss: 0.2657 2022/08/26 15:12:22 - mmengine - INFO - Epoch(train) [29][55/63] lr: 9.5783e-04 eta: 6:17:20 time: 0.5424 data_time: 0.0295 memory: 12277 loss_text: 0.1384 loss_kernel: 0.0555 loss_embedding: 0.0489 loss: 0.2428 2022/08/26 15:12:24 - mmengine - INFO - Epoch(train) [29][60/63] lr: 9.5783e-04 eta: 6:16:51 time: 0.5161 data_time: 0.0204 memory: 12277 loss_text: 0.1316 loss_kernel: 0.0543 loss_embedding: 0.0473 loss: 0.2332 2022/08/26 15:12:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:12:29 - mmengine - INFO - Epoch(train) [30][5/63] lr: 9.5632e-04 eta: 6:16:51 time: 0.6163 data_time: 0.1399 memory: 12277 loss_text: 0.1515 loss_kernel: 0.0571 loss_embedding: 0.0580 loss: 0.2666 2022/08/26 15:12:32 - mmengine - INFO - Epoch(train) [30][10/63] lr: 9.5632e-04 eta: 6:16:08 time: 0.6362 data_time: 0.1445 memory: 12277 loss_text: 0.1487 loss_kernel: 0.0552 loss_embedding: 0.0557 loss: 0.2596 2022/08/26 15:12:34 - mmengine - INFO - Epoch(train) [30][15/63] lr: 9.5632e-04 eta: 6:16:08 time: 0.5013 data_time: 0.0268 memory: 12277 loss_text: 0.1678 loss_kernel: 0.0595 loss_embedding: 0.0516 loss: 0.2789 2022/08/26 15:12:37 - mmengine - INFO - Epoch(train) [30][20/63] lr: 9.5632e-04 eta: 6:15:38 time: 0.5050 data_time: 0.0247 memory: 12277 loss_text: 0.1615 loss_kernel: 0.0596 loss_embedding: 0.0545 loss: 0.2756 2022/08/26 15:12:39 - mmengine - INFO - Epoch(train) [30][25/63] lr: 9.5632e-04 eta: 6:15:38 time: 0.5166 data_time: 0.0251 memory: 12277 loss_text: 0.1265 loss_kernel: 0.0533 loss_embedding: 0.0530 loss: 0.2328 2022/08/26 15:12:42 - mmengine - INFO - Epoch(train) [30][30/63] lr: 9.5632e-04 eta: 6:15:12 time: 0.5254 data_time: 0.0289 memory: 12277 loss_text: 0.1386 loss_kernel: 0.0535 loss_embedding: 0.0517 loss: 0.2438 2022/08/26 15:12:45 - mmengine - INFO - Epoch(train) [30][35/63] lr: 9.5632e-04 eta: 6:15:12 time: 0.5280 data_time: 0.0286 memory: 12277 loss_text: 0.1543 loss_kernel: 0.0597 loss_embedding: 0.0562 loss: 0.2703 2022/08/26 15:12:47 - mmengine - INFO - Epoch(train) [30][40/63] lr: 9.5632e-04 eta: 6:14:45 time: 0.5200 data_time: 0.0279 memory: 12277 loss_text: 0.1423 loss_kernel: 0.0596 loss_embedding: 0.0571 loss: 0.2590 2022/08/26 15:12:50 - mmengine - INFO - Epoch(train) [30][45/63] lr: 9.5632e-04 eta: 6:14:45 time: 0.5278 data_time: 0.0272 memory: 12277 loss_text: 0.1298 loss_kernel: 0.0529 loss_embedding: 0.0496 loss: 0.2323 2022/08/26 15:12:53 - mmengine - INFO - Epoch(train) [30][50/63] lr: 9.5632e-04 eta: 6:14:20 time: 0.5265 data_time: 0.0253 memory: 12277 loss_text: 0.1444 loss_kernel: 0.0585 loss_embedding: 0.0494 loss: 0.2523 2022/08/26 15:12:55 - mmengine - INFO - Epoch(train) [30][55/63] lr: 9.5632e-04 eta: 6:14:20 time: 0.5039 data_time: 0.0256 memory: 12277 loss_text: 0.1528 loss_kernel: 0.0590 loss_embedding: 0.0535 loss: 0.2654 2022/08/26 15:12:58 - mmengine - INFO - Epoch(train) [30][60/63] lr: 9.5632e-04 eta: 6:13:59 time: 0.5478 data_time: 0.0235 memory: 12277 loss_text: 0.1413 loss_kernel: 0.0542 loss_embedding: 0.0509 loss: 0.2465 2022/08/26 15:13:00 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:13:05 - mmengine - INFO - Epoch(train) [31][5/63] lr: 9.5481e-04 eta: 6:13:59 time: 0.8257 data_time: 0.1840 memory: 12277 loss_text: 0.1521 loss_kernel: 0.0549 loss_embedding: 0.0460 loss: 0.2529 2022/08/26 15:13:09 - mmengine - INFO - Epoch(train) [31][10/63] lr: 9.5481e-04 eta: 6:13:54 time: 0.8329 data_time: 0.2259 memory: 12277 loss_text: 0.1587 loss_kernel: 0.0608 loss_embedding: 0.0460 loss: 0.2655 2022/08/26 15:13:11 - mmengine - INFO - Epoch(train) [31][15/63] lr: 9.5481e-04 eta: 6:13:54 time: 0.6198 data_time: 0.0644 memory: 12277 loss_text: 0.1624 loss_kernel: 0.0617 loss_embedding: 0.0440 loss: 0.2682 2022/08/26 15:13:14 - mmengine - INFO - Epoch(train) [31][20/63] lr: 9.5481e-04 eta: 6:13:32 time: 0.5375 data_time: 0.0220 memory: 12277 loss_text: 0.1515 loss_kernel: 0.0549 loss_embedding: 0.0489 loss: 0.2552 2022/08/26 15:13:16 - mmengine - INFO - Epoch(train) [31][25/63] lr: 9.5481e-04 eta: 6:13:32 time: 0.5358 data_time: 0.0221 memory: 12277 loss_text: 0.1405 loss_kernel: 0.0536 loss_embedding: 0.0518 loss: 0.2459 2022/08/26 15:13:19 - mmengine - INFO - Epoch(train) [31][30/63] lr: 9.5481e-04 eta: 6:13:03 time: 0.5058 data_time: 0.0283 memory: 12277 loss_text: 0.1415 loss_kernel: 0.0579 loss_embedding: 0.0458 loss: 0.2452 2022/08/26 15:13:22 - mmengine - INFO - Epoch(train) [31][35/63] lr: 9.5481e-04 eta: 6:13:03 time: 0.5162 data_time: 0.0292 memory: 12277 loss_text: 0.1463 loss_kernel: 0.0586 loss_embedding: 0.0450 loss: 0.2499 2022/08/26 15:13:24 - mmengine - INFO - Epoch(train) [31][40/63] lr: 9.5481e-04 eta: 6:12:37 time: 0.5170 data_time: 0.0245 memory: 12277 loss_text: 0.1368 loss_kernel: 0.0552 loss_embedding: 0.0456 loss: 0.2375 2022/08/26 15:13:27 - mmengine - INFO - Epoch(train) [31][45/63] lr: 9.5481e-04 eta: 6:12:37 time: 0.5188 data_time: 0.0218 memory: 12277 loss_text: 0.1433 loss_kernel: 0.0576 loss_embedding: 0.0514 loss: 0.2523 2022/08/26 15:13:29 - mmengine - INFO - Epoch(train) [31][50/63] lr: 9.5481e-04 eta: 6:12:14 time: 0.5320 data_time: 0.0271 memory: 12277 loss_text: 0.1669 loss_kernel: 0.0618 loss_embedding: 0.0556 loss: 0.2843 2022/08/26 15:13:32 - mmengine - INFO - Epoch(train) [31][55/63] lr: 9.5481e-04 eta: 6:12:14 time: 0.5279 data_time: 0.0301 memory: 12277 loss_text: 0.1754 loss_kernel: 0.0621 loss_embedding: 0.0491 loss: 0.2866 2022/08/26 15:13:34 - mmengine - INFO - Epoch(train) [31][60/63] lr: 9.5481e-04 eta: 6:11:45 time: 0.4974 data_time: 0.0231 memory: 12277 loss_text: 0.1578 loss_kernel: 0.0556 loss_embedding: 0.0459 loss: 0.2594 2022/08/26 15:13:36 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:13:40 - mmengine - INFO - Epoch(train) [32][5/63] lr: 9.5330e-04 eta: 6:11:45 time: 0.6876 data_time: 0.1698 memory: 12277 loss_text: 0.1575 loss_kernel: 0.0581 loss_embedding: 0.0460 loss: 0.2616 2022/08/26 15:13:43 - mmengine - INFO - Epoch(train) [32][10/63] lr: 9.5330e-04 eta: 6:11:22 time: 0.7271 data_time: 0.1779 memory: 12277 loss_text: 0.1566 loss_kernel: 0.0569 loss_embedding: 0.0435 loss: 0.2570 2022/08/26 15:13:45 - mmengine - INFO - Epoch(train) [32][15/63] lr: 9.5330e-04 eta: 6:11:22 time: 0.5018 data_time: 0.0309 memory: 12277 loss_text: 0.1449 loss_kernel: 0.0558 loss_embedding: 0.0516 loss: 0.2523 2022/08/26 15:13:48 - mmengine - INFO - Epoch(train) [32][20/63] lr: 9.5330e-04 eta: 6:10:52 time: 0.4938 data_time: 0.0283 memory: 12277 loss_text: 0.1470 loss_kernel: 0.0604 loss_embedding: 0.0558 loss: 0.2632 2022/08/26 15:13:50 - mmengine - INFO - Epoch(train) [32][25/63] lr: 9.5330e-04 eta: 6:10:52 time: 0.5134 data_time: 0.0252 memory: 12277 loss_text: 0.1514 loss_kernel: 0.0606 loss_embedding: 0.0473 loss: 0.2593 2022/08/26 15:13:54 - mmengine - INFO - Epoch(train) [32][30/63] lr: 9.5330e-04 eta: 6:10:40 time: 0.5891 data_time: 0.0317 memory: 12277 loss_text: 0.1620 loss_kernel: 0.0590 loss_embedding: 0.0489 loss: 0.2699 2022/08/26 15:13:57 - mmengine - INFO - Epoch(train) [32][35/63] lr: 9.5330e-04 eta: 6:10:40 time: 0.6735 data_time: 0.0357 memory: 12277 loss_text: 0.1460 loss_kernel: 0.0555 loss_embedding: 0.0504 loss: 0.2519 2022/08/26 15:14:00 - mmengine - INFO - Epoch(train) [32][40/63] lr: 9.5330e-04 eta: 6:10:31 time: 0.6051 data_time: 0.0253 memory: 12277 loss_text: 0.1298 loss_kernel: 0.0524 loss_embedding: 0.0492 loss: 0.2314 2022/08/26 15:14:02 - mmengine - INFO - Epoch(train) [32][45/63] lr: 9.5330e-04 eta: 6:10:31 time: 0.5072 data_time: 0.0216 memory: 12277 loss_text: 0.1426 loss_kernel: 0.0523 loss_embedding: 0.0517 loss: 0.2466 2022/08/26 15:14:03 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:14:05 - mmengine - INFO - Epoch(train) [32][50/63] lr: 9.5330e-04 eta: 6:10:06 time: 0.5118 data_time: 0.0320 memory: 12277 loss_text: 0.1514 loss_kernel: 0.0547 loss_embedding: 0.0557 loss: 0.2619 2022/08/26 15:14:08 - mmengine - INFO - Epoch(train) [32][55/63] lr: 9.5330e-04 eta: 6:10:06 time: 0.5216 data_time: 0.0322 memory: 12277 loss_text: 0.1644 loss_kernel: 0.0575 loss_embedding: 0.0543 loss: 0.2762 2022/08/26 15:14:10 - mmengine - INFO - Epoch(train) [32][60/63] lr: 9.5330e-04 eta: 6:09:42 time: 0.5240 data_time: 0.0213 memory: 12277 loss_text: 0.1594 loss_kernel: 0.0584 loss_embedding: 0.0468 loss: 0.2646 2022/08/26 15:14:11 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:14:15 - mmengine - INFO - Epoch(train) [33][5/63] lr: 9.5179e-04 eta: 6:09:42 time: 0.5790 data_time: 0.1378 memory: 12277 loss_text: 0.1605 loss_kernel: 0.0579 loss_embedding: 0.0479 loss: 0.2663 2022/08/26 15:14:18 - mmengine - INFO - Epoch(train) [33][10/63] lr: 9.5179e-04 eta: 6:09:04 time: 0.6369 data_time: 0.1528 memory: 12277 loss_text: 0.1518 loss_kernel: 0.0548 loss_embedding: 0.0468 loss: 0.2534 2022/08/26 15:14:20 - mmengine - INFO - Epoch(train) [33][15/63] lr: 9.5179e-04 eta: 6:09:04 time: 0.5247 data_time: 0.0344 memory: 12277 loss_text: 0.1494 loss_kernel: 0.0569 loss_embedding: 0.0503 loss: 0.2566 2022/08/26 15:14:23 - mmengine - INFO - Epoch(train) [33][20/63] lr: 9.5179e-04 eta: 6:08:41 time: 0.5186 data_time: 0.0224 memory: 12277 loss_text: 0.1614 loss_kernel: 0.0601 loss_embedding: 0.0501 loss: 0.2716 2022/08/26 15:14:26 - mmengine - INFO - Epoch(train) [33][25/63] lr: 9.5179e-04 eta: 6:08:41 time: 0.5278 data_time: 0.0258 memory: 12277 loss_text: 0.1447 loss_kernel: 0.0590 loss_embedding: 0.0478 loss: 0.2515 2022/08/26 15:14:29 - mmengine - INFO - Epoch(train) [33][30/63] lr: 9.5179e-04 eta: 6:08:29 time: 0.5890 data_time: 0.0480 memory: 12277 loss_text: 0.1375 loss_kernel: 0.0613 loss_embedding: 0.0497 loss: 0.2485 2022/08/26 15:14:32 - mmengine - INFO - Epoch(train) [33][35/63] lr: 9.5179e-04 eta: 6:08:29 time: 0.6447 data_time: 0.0472 memory: 12277 loss_text: 0.1419 loss_kernel: 0.0609 loss_embedding: 0.0504 loss: 0.2531 2022/08/26 15:14:35 - mmengine - INFO - Epoch(train) [33][40/63] lr: 9.5179e-04 eta: 6:08:15 time: 0.5732 data_time: 0.0233 memory: 12277 loss_text: 0.1596 loss_kernel: 0.0668 loss_embedding: 0.0482 loss: 0.2746 2022/08/26 15:14:37 - mmengine - INFO - Epoch(train) [33][45/63] lr: 9.5179e-04 eta: 6:08:15 time: 0.5289 data_time: 0.0253 memory: 12277 loss_text: 0.1734 loss_kernel: 0.0659 loss_embedding: 0.0485 loss: 0.2877 2022/08/26 15:14:40 - mmengine - INFO - Epoch(train) [33][50/63] lr: 9.5179e-04 eta: 6:07:56 time: 0.5434 data_time: 0.0374 memory: 12277 loss_text: 0.1495 loss_kernel: 0.0551 loss_embedding: 0.0479 loss: 0.2525 2022/08/26 15:14:43 - mmengine - INFO - Epoch(train) [33][55/63] lr: 9.5179e-04 eta: 6:07:56 time: 0.5396 data_time: 0.0336 memory: 12277 loss_text: 0.1458 loss_kernel: 0.0546 loss_embedding: 0.0453 loss: 0.2457 2022/08/26 15:14:45 - mmengine - INFO - Epoch(train) [33][60/63] lr: 9.5179e-04 eta: 6:07:34 time: 0.5229 data_time: 0.0224 memory: 12277 loss_text: 0.1702 loss_kernel: 0.0570 loss_embedding: 0.0441 loss: 0.2713 2022/08/26 15:14:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:14:50 - mmengine - INFO - Epoch(train) [34][5/63] lr: 9.5028e-04 eta: 6:07:34 time: 0.6126 data_time: 0.1309 memory: 12277 loss_text: 0.1360 loss_kernel: 0.0536 loss_embedding: 0.0454 loss: 0.2349 2022/08/26 15:14:53 - mmengine - INFO - Epoch(train) [34][10/63] lr: 9.5028e-04 eta: 6:06:56 time: 0.6295 data_time: 0.1371 memory: 12277 loss_text: 0.1479 loss_kernel: 0.0565 loss_embedding: 0.0465 loss: 0.2509 2022/08/26 15:14:56 - mmengine - INFO - Epoch(train) [34][15/63] lr: 9.5028e-04 eta: 6:06:56 time: 0.5147 data_time: 0.0292 memory: 12277 loss_text: 0.1653 loss_kernel: 0.0638 loss_embedding: 0.0460 loss: 0.2751 2022/08/26 15:14:58 - mmengine - INFO - Epoch(train) [34][20/63] lr: 9.5028e-04 eta: 6:06:34 time: 0.5233 data_time: 0.0252 memory: 12277 loss_text: 0.1558 loss_kernel: 0.0633 loss_embedding: 0.0502 loss: 0.2693 2022/08/26 15:15:01 - mmengine - INFO - Epoch(train) [34][25/63] lr: 9.5028e-04 eta: 6:06:34 time: 0.5177 data_time: 0.0274 memory: 12277 loss_text: 0.1440 loss_kernel: 0.0604 loss_embedding: 0.0515 loss: 0.2559 2022/08/26 15:15:04 - mmengine - INFO - Epoch(train) [34][30/63] lr: 9.5028e-04 eta: 6:06:26 time: 0.6052 data_time: 0.0327 memory: 12277 loss_text: 0.1551 loss_kernel: 0.0609 loss_embedding: 0.0482 loss: 0.2642 2022/08/26 15:15:07 - mmengine - INFO - Epoch(train) [34][35/63] lr: 9.5028e-04 eta: 6:06:26 time: 0.6639 data_time: 0.0331 memory: 12277 loss_text: 0.1399 loss_kernel: 0.0545 loss_embedding: 0.0426 loss: 0.2370 2022/08/26 15:15:10 - mmengine - INFO - Epoch(train) [34][40/63] lr: 9.5028e-04 eta: 6:06:20 time: 0.6188 data_time: 0.0291 memory: 12277 loss_text: 0.1501 loss_kernel: 0.0557 loss_embedding: 0.0425 loss: 0.2483 2022/08/26 15:15:13 - mmengine - INFO - Epoch(train) [34][45/63] lr: 9.5028e-04 eta: 6:06:20 time: 0.5726 data_time: 0.0279 memory: 12277 loss_text: 0.1730 loss_kernel: 0.0599 loss_embedding: 0.0492 loss: 0.2822 2022/08/26 15:15:16 - mmengine - INFO - Epoch(train) [34][50/63] lr: 9.5028e-04 eta: 6:06:00 time: 0.5291 data_time: 0.0292 memory: 12277 loss_text: 0.1443 loss_kernel: 0.0545 loss_embedding: 0.0508 loss: 0.2497 2022/08/26 15:15:18 - mmengine - INFO - Epoch(train) [34][55/63] lr: 9.5028e-04 eta: 6:06:00 time: 0.5212 data_time: 0.0272 memory: 12277 loss_text: 0.1266 loss_kernel: 0.0512 loss_embedding: 0.0480 loss: 0.2258 2022/08/26 15:15:21 - mmengine - INFO - Epoch(train) [34][60/63] lr: 9.5028e-04 eta: 6:05:35 time: 0.5081 data_time: 0.0253 memory: 12277 loss_text: 0.1339 loss_kernel: 0.0529 loss_embedding: 0.0456 loss: 0.2323 2022/08/26 15:15:22 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:15:26 - mmengine - INFO - Epoch(train) [35][5/63] lr: 9.4877e-04 eta: 6:05:35 time: 0.6502 data_time: 0.1727 memory: 12277 loss_text: 0.1370 loss_kernel: 0.0548 loss_embedding: 0.0487 loss: 0.2406 2022/08/26 15:15:29 - mmengine - INFO - Epoch(train) [35][10/63] lr: 9.4877e-04 eta: 6:05:09 time: 0.6873 data_time: 0.1811 memory: 12277 loss_text: 0.1484 loss_kernel: 0.0618 loss_embedding: 0.0427 loss: 0.2529 2022/08/26 15:15:32 - mmengine - INFO - Epoch(train) [35][15/63] lr: 9.4877e-04 eta: 6:05:09 time: 0.5367 data_time: 0.0340 memory: 12277 loss_text: 0.1549 loss_kernel: 0.0617 loss_embedding: 0.0416 loss: 0.2582 2022/08/26 15:15:34 - mmengine - INFO - Epoch(train) [35][20/63] lr: 9.4877e-04 eta: 6:04:49 time: 0.5309 data_time: 0.0284 memory: 12277 loss_text: 0.1497 loss_kernel: 0.0549 loss_embedding: 0.0496 loss: 0.2541 2022/08/26 15:15:37 - mmengine - INFO - Epoch(train) [35][25/63] lr: 9.4877e-04 eta: 6:04:49 time: 0.5319 data_time: 0.0298 memory: 12277 loss_text: 0.1534 loss_kernel: 0.0587 loss_embedding: 0.0521 loss: 0.2641 2022/08/26 15:15:40 - mmengine - INFO - Epoch(train) [35][30/63] lr: 9.4877e-04 eta: 6:04:29 time: 0.5273 data_time: 0.0306 memory: 12277 loss_text: 0.1683 loss_kernel: 0.0602 loss_embedding: 0.0477 loss: 0.2762 2022/08/26 15:15:42 - mmengine - INFO - Epoch(train) [35][35/63] lr: 9.4877e-04 eta: 6:04:29 time: 0.5046 data_time: 0.0275 memory: 12277 loss_text: 0.1528 loss_kernel: 0.0554 loss_embedding: 0.0450 loss: 0.2533 2022/08/26 15:15:44 - mmengine - INFO - Epoch(train) [35][40/63] lr: 9.4877e-04 eta: 6:04:01 time: 0.4857 data_time: 0.0249 memory: 12277 loss_text: 0.1510 loss_kernel: 0.0573 loss_embedding: 0.0504 loss: 0.2588 2022/08/26 15:15:47 - mmengine - INFO - Epoch(train) [35][45/63] lr: 9.4877e-04 eta: 6:04:01 time: 0.4914 data_time: 0.0215 memory: 12277 loss_text: 0.1645 loss_kernel: 0.0624 loss_embedding: 0.0490 loss: 0.2758 2022/08/26 15:15:50 - mmengine - INFO - Epoch(train) [35][50/63] lr: 9.4877e-04 eta: 6:03:38 time: 0.5080 data_time: 0.0215 memory: 12277 loss_text: 0.1510 loss_kernel: 0.0589 loss_embedding: 0.0509 loss: 0.2608 2022/08/26 15:15:52 - mmengine - INFO - Epoch(train) [35][55/63] lr: 9.4877e-04 eta: 6:03:38 time: 0.5142 data_time: 0.0346 memory: 12277 loss_text: 0.1398 loss_kernel: 0.0548 loss_embedding: 0.0562 loss: 0.2509 2022/08/26 15:15:55 - mmengine - INFO - Epoch(train) [35][60/63] lr: 9.4877e-04 eta: 6:03:16 time: 0.5141 data_time: 0.0312 memory: 12277 loss_text: 0.1399 loss_kernel: 0.0529 loss_embedding: 0.0492 loss: 0.2420 2022/08/26 15:15:56 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:16:01 - mmengine - INFO - Epoch(train) [36][5/63] lr: 9.4726e-04 eta: 6:03:16 time: 0.7626 data_time: 0.2397 memory: 12277 loss_text: 0.1623 loss_kernel: 0.0546 loss_embedding: 0.0437 loss: 0.2606 2022/08/26 15:16:04 - mmengine - INFO - Epoch(train) [36][10/63] lr: 9.4726e-04 eta: 6:03:10 time: 0.8092 data_time: 0.2464 memory: 12277 loss_text: 0.1494 loss_kernel: 0.0544 loss_embedding: 0.0406 loss: 0.2444 2022/08/26 15:16:07 - mmengine - INFO - Epoch(train) [36][15/63] lr: 9.4726e-04 eta: 6:03:10 time: 0.6127 data_time: 0.0395 memory: 12277 loss_text: 0.1321 loss_kernel: 0.0570 loss_embedding: 0.0408 loss: 0.2299 2022/08/26 15:16:10 - mmengine - INFO - Epoch(train) [36][20/63] lr: 9.4726e-04 eta: 6:02:58 time: 0.5749 data_time: 0.0279 memory: 12277 loss_text: 0.1407 loss_kernel: 0.0617 loss_embedding: 0.0490 loss: 0.2514 2022/08/26 15:16:13 - mmengine - INFO - Epoch(train) [36][25/63] lr: 9.4726e-04 eta: 6:02:58 time: 0.5247 data_time: 0.0227 memory: 12277 loss_text: 0.1564 loss_kernel: 0.0591 loss_embedding: 0.0502 loss: 0.2658 2022/08/26 15:16:15 - mmengine - INFO - Epoch(train) [36][30/63] lr: 9.4726e-04 eta: 6:02:39 time: 0.5286 data_time: 0.0325 memory: 12277 loss_text: 0.1465 loss_kernel: 0.0566 loss_embedding: 0.0459 loss: 0.2491 2022/08/26 15:16:18 - mmengine - INFO - Epoch(train) [36][35/63] lr: 9.4726e-04 eta: 6:02:39 time: 0.5501 data_time: 0.0364 memory: 12277 loss_text: 0.1367 loss_kernel: 0.0580 loss_embedding: 0.0465 loss: 0.2412 2022/08/26 15:16:21 - mmengine - INFO - Epoch(train) [36][40/63] lr: 9.4726e-04 eta: 6:02:21 time: 0.5385 data_time: 0.0275 memory: 12277 loss_text: 0.1364 loss_kernel: 0.0562 loss_embedding: 0.0445 loss: 0.2371 2022/08/26 15:16:23 - mmengine - INFO - Epoch(train) [36][45/63] lr: 9.4726e-04 eta: 6:02:21 time: 0.5191 data_time: 0.0256 memory: 12277 loss_text: 0.1350 loss_kernel: 0.0522 loss_embedding: 0.0458 loss: 0.2331 2022/08/26 15:16:26 - mmengine - INFO - Epoch(train) [36][50/63] lr: 9.4726e-04 eta: 6:02:01 time: 0.5218 data_time: 0.0336 memory: 12277 loss_text: 0.1394 loss_kernel: 0.0537 loss_embedding: 0.0484 loss: 0.2415 2022/08/26 15:16:29 - mmengine - INFO - Epoch(train) [36][55/63] lr: 9.4726e-04 eta: 6:02:01 time: 0.5321 data_time: 0.0310 memory: 12277 loss_text: 0.1496 loss_kernel: 0.0592 loss_embedding: 0.0488 loss: 0.2576 2022/08/26 15:16:31 - mmengine - INFO - Epoch(train) [36][60/63] lr: 9.4726e-04 eta: 6:01:39 time: 0.5097 data_time: 0.0215 memory: 12277 loss_text: 0.1666 loss_kernel: 0.0621 loss_embedding: 0.0516 loss: 0.2802 2022/08/26 15:16:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:16:36 - mmengine - INFO - Epoch(train) [37][5/63] lr: 9.4574e-04 eta: 6:01:39 time: 0.5823 data_time: 0.1188 memory: 12277 loss_text: 0.1423 loss_kernel: 0.0546 loss_embedding: 0.0487 loss: 0.2456 2022/08/26 15:16:39 - mmengine - INFO - Epoch(train) [37][10/63] lr: 9.4574e-04 eta: 6:01:09 time: 0.6558 data_time: 0.1296 memory: 12277 loss_text: 0.1303 loss_kernel: 0.0550 loss_embedding: 0.0463 loss: 0.2316 2022/08/26 15:16:42 - mmengine - INFO - Epoch(train) [37][15/63] lr: 9.4574e-04 eta: 6:01:09 time: 0.5742 data_time: 0.0313 memory: 12277 loss_text: 0.1518 loss_kernel: 0.0592 loss_embedding: 0.0495 loss: 0.2606 2022/08/26 15:16:44 - mmengine - INFO - Epoch(train) [37][20/63] lr: 9.4574e-04 eta: 6:00:50 time: 0.5243 data_time: 0.0217 memory: 12277 loss_text: 0.1602 loss_kernel: 0.0632 loss_embedding: 0.0477 loss: 0.2711 2022/08/26 15:16:47 - mmengine - INFO - Epoch(train) [37][25/63] lr: 9.4574e-04 eta: 6:00:50 time: 0.5153 data_time: 0.0234 memory: 12277 loss_text: 0.1507 loss_kernel: 0.0608 loss_embedding: 0.0414 loss: 0.2529 2022/08/26 15:16:50 - mmengine - INFO - Epoch(train) [37][30/63] lr: 9.4574e-04 eta: 6:00:30 time: 0.5231 data_time: 0.0353 memory: 12277 loss_text: 0.1567 loss_kernel: 0.0609 loss_embedding: 0.0401 loss: 0.2577 2022/08/26 15:16:52 - mmengine - INFO - Epoch(train) [37][35/63] lr: 9.4574e-04 eta: 6:00:30 time: 0.5214 data_time: 0.0345 memory: 12277 loss_text: 0.1455 loss_kernel: 0.0585 loss_embedding: 0.0400 loss: 0.2440 2022/08/26 15:16:55 - mmengine - INFO - Epoch(train) [37][40/63] lr: 9.4574e-04 eta: 6:00:09 time: 0.5111 data_time: 0.0228 memory: 12277 loss_text: 0.1366 loss_kernel: 0.0552 loss_embedding: 0.0414 loss: 0.2332 2022/08/26 15:16:59 - mmengine - INFO - Epoch(train) [37][45/63] lr: 9.4574e-04 eta: 6:00:09 time: 0.6787 data_time: 0.0305 memory: 12277 loss_text: 0.1479 loss_kernel: 0.0577 loss_embedding: 0.0454 loss: 0.2510 2022/08/26 15:17:02 - mmengine - INFO - Epoch(train) [37][50/63] lr: 9.4574e-04 eta: 6:00:16 time: 0.6896 data_time: 0.0389 memory: 12277 loss_text: 0.1371 loss_kernel: 0.0540 loss_embedding: 0.0461 loss: 0.2371 2022/08/26 15:17:05 - mmengine - INFO - Epoch(train) [37][55/63] lr: 9.4574e-04 eta: 6:00:16 time: 0.6192 data_time: 0.0313 memory: 12277 loss_text: 0.1315 loss_kernel: 0.0521 loss_embedding: 0.0433 loss: 0.2270 2022/08/26 15:17:08 - mmengine - INFO - Epoch(train) [37][60/63] lr: 9.4574e-04 eta: 6:00:14 time: 0.6385 data_time: 0.0326 memory: 12277 loss_text: 0.1324 loss_kernel: 0.0556 loss_embedding: 0.0450 loss: 0.2330 2022/08/26 15:17:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:17:13 - mmengine - INFO - Epoch(train) [38][5/63] lr: 9.4423e-04 eta: 6:00:14 time: 0.6389 data_time: 0.1616 memory: 12277 loss_text: 0.1451 loss_kernel: 0.0607 loss_embedding: 0.0493 loss: 0.2551 2022/08/26 15:17:16 - mmengine - INFO - Epoch(train) [38][10/63] lr: 9.4423e-04 eta: 5:59:46 time: 0.6568 data_time: 0.1728 memory: 12277 loss_text: 0.1402 loss_kernel: 0.0581 loss_embedding: 0.0441 loss: 0.2423 2022/08/26 15:17:18 - mmengine - INFO - Epoch(train) [38][15/63] lr: 9.4423e-04 eta: 5:59:46 time: 0.5120 data_time: 0.0298 memory: 12277 loss_text: 0.1535 loss_kernel: 0.0584 loss_embedding: 0.0362 loss: 0.2482 2022/08/26 15:17:21 - mmengine - INFO - Epoch(train) [38][20/63] lr: 9.4423e-04 eta: 5:59:28 time: 0.5313 data_time: 0.0197 memory: 12277 loss_text: 0.1653 loss_kernel: 0.0604 loss_embedding: 0.0396 loss: 0.2653 2022/08/26 15:17:24 - mmengine - INFO - Epoch(train) [38][25/63] lr: 9.4423e-04 eta: 5:59:28 time: 0.5332 data_time: 0.0219 memory: 12277 loss_text: 0.1537 loss_kernel: 0.0589 loss_embedding: 0.0510 loss: 0.2636 2022/08/26 15:17:26 - mmengine - INFO - Epoch(train) [38][30/63] lr: 9.4423e-04 eta: 5:59:06 time: 0.5049 data_time: 0.0304 memory: 12277 loss_text: 0.1462 loss_kernel: 0.0550 loss_embedding: 0.0459 loss: 0.2471 2022/08/26 15:17:29 - mmengine - INFO - Epoch(train) [38][35/63] lr: 9.4423e-04 eta: 5:59:06 time: 0.5432 data_time: 0.0313 memory: 12277 loss_text: 0.1648 loss_kernel: 0.0589 loss_embedding: 0.0432 loss: 0.2669 2022/08/26 15:17:32 - mmengine - INFO - Epoch(train) [38][40/63] lr: 9.4423e-04 eta: 5:58:52 time: 0.5515 data_time: 0.0220 memory: 12277 loss_text: 0.1625 loss_kernel: 0.0611 loss_embedding: 0.0484 loss: 0.2720 2022/08/26 15:17:34 - mmengine - INFO - Epoch(train) [38][45/63] lr: 9.4423e-04 eta: 5:58:52 time: 0.4985 data_time: 0.0215 memory: 12277 loss_text: 0.1448 loss_kernel: 0.0594 loss_embedding: 0.0457 loss: 0.2498 2022/08/26 15:17:37 - mmengine - INFO - Epoch(train) [38][50/63] lr: 9.4423e-04 eta: 5:58:30 time: 0.5046 data_time: 0.0308 memory: 12277 loss_text: 0.1441 loss_kernel: 0.0566 loss_embedding: 0.0442 loss: 0.2450 2022/08/26 15:17:39 - mmengine - INFO - Epoch(train) [38][55/63] lr: 9.4423e-04 eta: 5:58:30 time: 0.5094 data_time: 0.0352 memory: 12277 loss_text: 0.1532 loss_kernel: 0.0634 loss_embedding: 0.0478 loss: 0.2644 2022/08/26 15:17:42 - mmengine - INFO - Epoch(train) [38][60/63] lr: 9.4423e-04 eta: 5:58:07 time: 0.4947 data_time: 0.0249 memory: 12277 loss_text: 0.1645 loss_kernel: 0.0672 loss_embedding: 0.0543 loss: 0.2860 2022/08/26 15:17:43 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:17:46 - mmengine - INFO - Epoch(train) [39][5/63] lr: 9.4272e-04 eta: 5:58:07 time: 0.5857 data_time: 0.1138 memory: 12277 loss_text: 0.1512 loss_kernel: 0.0587 loss_embedding: 0.0510 loss: 0.2608 2022/08/26 15:17:50 - mmengine - INFO - Epoch(train) [39][10/63] lr: 9.4272e-04 eta: 5:57:40 time: 0.6581 data_time: 0.1351 memory: 12277 loss_text: 0.1304 loss_kernel: 0.0539 loss_embedding: 0.0449 loss: 0.2291 2022/08/26 15:17:52 - mmengine - INFO - Epoch(train) [39][15/63] lr: 9.4272e-04 eta: 5:57:40 time: 0.5518 data_time: 0.0404 memory: 12277 loss_text: 0.1247 loss_kernel: 0.0537 loss_embedding: 0.0459 loss: 0.2243 2022/08/26 15:17:55 - mmengine - INFO - Epoch(train) [39][20/63] lr: 9.4272e-04 eta: 5:57:18 time: 0.4955 data_time: 0.0214 memory: 12277 loss_text: 0.1430 loss_kernel: 0.0570 loss_embedding: 0.0460 loss: 0.2459 2022/08/26 15:17:59 - mmengine - INFO - Epoch(train) [39][25/63] lr: 9.4272e-04 eta: 5:57:18 time: 0.6540 data_time: 0.0270 memory: 12277 loss_text: 0.1479 loss_kernel: 0.0555 loss_embedding: 0.0488 loss: 0.2522 2022/08/26 15:18:01 - mmengine - INFO - Epoch(train) [39][30/63] lr: 9.4272e-04 eta: 5:57:22 time: 0.6740 data_time: 0.0382 memory: 12277 loss_text: 0.1426 loss_kernel: 0.0557 loss_embedding: 0.0461 loss: 0.2443 2022/08/26 15:18:05 - mmengine - INFO - Epoch(train) [39][35/63] lr: 9.4272e-04 eta: 5:57:22 time: 0.5971 data_time: 0.0417 memory: 12277 loss_text: 0.1477 loss_kernel: 0.0586 loss_embedding: 0.0469 loss: 0.2532 2022/08/26 15:18:07 - mmengine - INFO - Epoch(train) [39][40/63] lr: 9.4272e-04 eta: 5:57:15 time: 0.5990 data_time: 0.0293 memory: 12277 loss_text: 0.1519 loss_kernel: 0.0577 loss_embedding: 0.0467 loss: 0.2564 2022/08/26 15:18:10 - mmengine - INFO - Epoch(train) [39][45/63] lr: 9.4272e-04 eta: 5:57:15 time: 0.5440 data_time: 0.0237 memory: 12277 loss_text: 0.1451 loss_kernel: 0.0554 loss_embedding: 0.0452 loss: 0.2457 2022/08/26 15:18:13 - mmengine - INFO - Epoch(train) [39][50/63] lr: 9.4272e-04 eta: 5:56:58 time: 0.5321 data_time: 0.0309 memory: 12277 loss_text: 0.1615 loss_kernel: 0.0602 loss_embedding: 0.0477 loss: 0.2694 2022/08/26 15:18:15 - mmengine - INFO - Epoch(train) [39][55/63] lr: 9.4272e-04 eta: 5:56:58 time: 0.5185 data_time: 0.0269 memory: 12277 loss_text: 0.1663 loss_kernel: 0.0603 loss_embedding: 0.0495 loss: 0.2760 2022/08/26 15:18:18 - mmengine - INFO - Epoch(train) [39][60/63] lr: 9.4272e-04 eta: 5:56:39 time: 0.5181 data_time: 0.0244 memory: 12277 loss_text: 0.1408 loss_kernel: 0.0531 loss_embedding: 0.0469 loss: 0.2408 2022/08/26 15:18:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:18:23 - mmengine - INFO - Epoch(train) [40][5/63] lr: 9.4121e-04 eta: 5:56:39 time: 0.6053 data_time: 0.1289 memory: 12277 loss_text: 0.1349 loss_kernel: 0.0524 loss_embedding: 0.0467 loss: 0.2340 2022/08/26 15:18:25 - mmengine - INFO - Epoch(train) [40][10/63] lr: 9.4121e-04 eta: 5:56:09 time: 0.6277 data_time: 0.1336 memory: 12277 loss_text: 0.1447 loss_kernel: 0.0542 loss_embedding: 0.0476 loss: 0.2465 2022/08/26 15:18:29 - mmengine - INFO - Epoch(train) [40][15/63] lr: 9.4121e-04 eta: 5:56:09 time: 0.5691 data_time: 0.0308 memory: 12277 loss_text: 0.1457 loss_kernel: 0.0568 loss_embedding: 0.0448 loss: 0.2473 2022/08/26 15:18:31 - mmengine - INFO - Epoch(train) [40][20/63] lr: 9.4121e-04 eta: 5:55:56 time: 0.5613 data_time: 0.0286 memory: 12277 loss_text: 0.1325 loss_kernel: 0.0567 loss_embedding: 0.0401 loss: 0.2293 2022/08/26 15:18:34 - mmengine - INFO - Epoch(train) [40][25/63] lr: 9.4121e-04 eta: 5:55:56 time: 0.5100 data_time: 0.0272 memory: 12277 loss_text: 0.1436 loss_kernel: 0.0541 loss_embedding: 0.0429 loss: 0.2407 2022/08/26 15:18:36 - mmengine - INFO - Epoch(train) [40][30/63] lr: 9.4121e-04 eta: 5:55:39 time: 0.5254 data_time: 0.0361 memory: 12277 loss_text: 0.1704 loss_kernel: 0.0570 loss_embedding: 0.0495 loss: 0.2769 2022/08/26 15:18:39 - mmengine - INFO - Epoch(train) [40][35/63] lr: 9.4121e-04 eta: 5:55:39 time: 0.5178 data_time: 0.0338 memory: 12277 loss_text: 0.1460 loss_kernel: 0.0567 loss_embedding: 0.0468 loss: 0.2495 2022/08/26 15:18:41 - mmengine - INFO - Epoch(train) [40][40/63] lr: 9.4121e-04 eta: 5:55:20 time: 0.5089 data_time: 0.0250 memory: 12277 loss_text: 0.1313 loss_kernel: 0.0533 loss_embedding: 0.0461 loss: 0.2308 2022/08/26 15:18:44 - mmengine - INFO - Epoch(train) [40][45/63] lr: 9.4121e-04 eta: 5:55:20 time: 0.5266 data_time: 0.0259 memory: 12277 loss_text: 0.1405 loss_kernel: 0.0529 loss_embedding: 0.0460 loss: 0.2394 2022/08/26 15:18:47 - mmengine - INFO - Epoch(train) [40][50/63] lr: 9.4121e-04 eta: 5:55:05 time: 0.5452 data_time: 0.0326 memory: 12277 loss_text: 0.1344 loss_kernel: 0.0539 loss_embedding: 0.0420 loss: 0.2303 2022/08/26 15:18:50 - mmengine - INFO - Epoch(train) [40][55/63] lr: 9.4121e-04 eta: 5:55:05 time: 0.5502 data_time: 0.0322 memory: 12277 loss_text: 0.1410 loss_kernel: 0.0557 loss_embedding: 0.0433 loss: 0.2400 2022/08/26 15:18:53 - mmengine - INFO - Epoch(train) [40][60/63] lr: 9.4121e-04 eta: 5:55:03 time: 0.6274 data_time: 0.0246 memory: 12277 loss_text: 0.1464 loss_kernel: 0.0574 loss_embedding: 0.0474 loss: 0.2513 2022/08/26 15:18:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:18:54 - mmengine - INFO - Saving checkpoint at 40 epochs 2022/08/26 15:18:58 - mmengine - INFO - Epoch(val) [40][5/500] eta: 5:55:03 time: 0.0402 data_time: 0.0111 memory: 12277 2022/08/26 15:18:58 - mmengine - INFO - Epoch(val) [40][10/500] eta: 0:00:22 time: 0.0453 data_time: 0.0110 memory: 497 2022/08/26 15:18:58 - mmengine - INFO - Epoch(val) [40][15/500] eta: 0:00:22 time: 0.0238 data_time: 0.0012 memory: 539 2022/08/26 15:18:58 - mmengine - INFO - Epoch(val) [40][20/500] eta: 0:00:10 time: 0.0222 data_time: 0.0014 memory: 497 2022/08/26 15:18:58 - mmengine - INFO - Epoch(val) [40][25/500] eta: 0:00:10 time: 0.0210 data_time: 0.0015 memory: 505 2022/08/26 15:18:58 - mmengine - INFO - Epoch(val) [40][30/500] eta: 0:00:12 time: 0.0262 data_time: 0.0017 memory: 516 2022/08/26 15:18:58 - mmengine - INFO - Epoch(val) [40][35/500] eta: 0:00:12 time: 0.0266 data_time: 0.0017 memory: 497 2022/08/26 15:18:59 - mmengine - INFO - Epoch(val) [40][40/500] eta: 0:00:09 time: 0.0197 data_time: 0.0015 memory: 497 2022/08/26 15:18:59 - mmengine - INFO - Epoch(val) [40][45/500] eta: 0:00:09 time: 0.0181 data_time: 0.0015 memory: 480 2022/08/26 15:18:59 - mmengine - INFO - Epoch(val) [40][50/500] eta: 0:00:08 time: 0.0200 data_time: 0.0014 memory: 539 2022/08/26 15:18:59 - mmengine - INFO - Epoch(val) [40][55/500] eta: 0:00:08 time: 0.0212 data_time: 0.0015 memory: 561 2022/08/26 15:18:59 - mmengine - INFO - Epoch(val) [40][60/500] eta: 0:00:10 time: 0.0236 data_time: 0.0015 memory: 497 2022/08/26 15:18:59 - mmengine - INFO - Epoch(val) [40][65/500] eta: 0:00:10 time: 0.0276 data_time: 0.0017 memory: 597 2022/08/26 15:18:59 - mmengine - INFO - Epoch(val) [40][70/500] eta: 0:00:09 time: 0.0229 data_time: 0.0017 memory: 497 2022/08/26 15:18:59 - mmengine - INFO - Epoch(val) [40][75/500] eta: 0:00:09 time: 0.0201 data_time: 0.0015 memory: 556 2022/08/26 15:18:59 - mmengine - INFO - Epoch(val) [40][80/500] eta: 0:00:08 time: 0.0200 data_time: 0.0014 memory: 497 2022/08/26 15:18:59 - mmengine - INFO - Epoch(val) [40][85/500] eta: 0:00:08 time: 0.0186 data_time: 0.0014 memory: 564 2022/08/26 15:19:00 - mmengine - INFO - Epoch(val) [40][90/500] eta: 0:00:07 time: 0.0186 data_time: 0.0014 memory: 522 2022/08/26 15:19:00 - mmengine - INFO - Epoch(val) [40][95/500] eta: 0:00:07 time: 0.0198 data_time: 0.0014 memory: 756 2022/08/26 15:19:00 - mmengine - INFO - Epoch(val) [40][100/500] eta: 0:00:08 time: 0.0207 data_time: 0.0015 memory: 572 2022/08/26 15:19:00 - mmengine - INFO - Epoch(val) [40][105/500] eta: 0:00:08 time: 0.0204 data_time: 0.0020 memory: 539 2022/08/26 15:19:00 - mmengine - INFO - Epoch(val) [40][110/500] eta: 0:00:07 time: 0.0182 data_time: 0.0019 memory: 497 2022/08/26 15:19:00 - mmengine - INFO - Epoch(val) [40][115/500] eta: 0:00:07 time: 0.0200 data_time: 0.0015 memory: 497 2022/08/26 15:19:00 - mmengine - INFO - Epoch(val) [40][120/500] eta: 0:00:09 time: 0.0261 data_time: 0.0016 memory: 530 2022/08/26 15:19:00 - mmengine - INFO - Epoch(val) [40][125/500] eta: 0:00:09 time: 0.0268 data_time: 0.0018 memory: 497 2022/08/26 15:19:01 - mmengine - INFO - Epoch(val) [40][130/500] eta: 0:00:12 time: 0.0340 data_time: 0.0020 memory: 539 2022/08/26 15:19:01 - mmengine - INFO - Epoch(val) [40][135/500] eta: 0:00:12 time: 0.0464 data_time: 0.0028 memory: 497 2022/08/26 15:19:01 - mmengine - INFO - Epoch(val) [40][140/500] eta: 0:00:12 time: 0.0361 data_time: 0.0025 memory: 480 2022/08/26 15:19:01 - mmengine - INFO - Epoch(val) [40][145/500] eta: 0:00:12 time: 0.0195 data_time: 0.0015 memory: 751 2022/08/26 15:19:01 - mmengine - INFO - Epoch(val) [40][150/500] eta: 0:00:06 time: 0.0185 data_time: 0.0016 memory: 464 2022/08/26 15:19:01 - mmengine - INFO - Epoch(val) [40][155/500] eta: 0:00:06 time: 0.0225 data_time: 0.0018 memory: 516 2022/08/26 15:19:01 - mmengine - INFO - Epoch(val) [40][160/500] eta: 0:00:07 time: 0.0227 data_time: 0.0018 memory: 539 2022/08/26 15:19:01 - mmengine - INFO - Epoch(val) [40][165/500] eta: 0:00:07 time: 0.0197 data_time: 0.0017 memory: 497 2022/08/26 15:19:02 - mmengine - INFO - Epoch(val) [40][170/500] eta: 0:00:06 time: 0.0190 data_time: 0.0016 memory: 514 2022/08/26 15:19:02 - mmengine - INFO - Epoch(val) [40][175/500] eta: 0:00:06 time: 0.0194 data_time: 0.0015 memory: 539 2022/08/26 15:19:02 - mmengine - INFO - Epoch(val) [40][180/500] eta: 0:00:06 time: 0.0197 data_time: 0.0015 memory: 539 2022/08/26 15:19:02 - mmengine - INFO - Epoch(val) [40][185/500] eta: 0:00:06 time: 0.0186 data_time: 0.0015 memory: 489 2022/08/26 15:19:02 - mmengine - INFO - Epoch(val) [40][190/500] eta: 0:00:05 time: 0.0183 data_time: 0.0014 memory: 516 2022/08/26 15:19:02 - mmengine - INFO - Epoch(val) [40][195/500] eta: 0:00:05 time: 0.0185 data_time: 0.0015 memory: 516 2022/08/26 15:19:02 - mmengine - INFO - Epoch(val) [40][200/500] eta: 0:00:05 time: 0.0188 data_time: 0.0015 memory: 516 2022/08/26 15:19:02 - mmengine - INFO - Epoch(val) [40][205/500] eta: 0:00:05 time: 0.0197 data_time: 0.0015 memory: 664 2022/08/26 15:19:02 - mmengine - INFO - Epoch(val) [40][210/500] eta: 0:00:05 time: 0.0198 data_time: 0.0016 memory: 497 2022/08/26 15:19:02 - mmengine - INFO - Epoch(val) [40][215/500] eta: 0:00:05 time: 0.0217 data_time: 0.0018 memory: 514 2022/08/26 15:19:03 - mmengine - INFO - Epoch(val) [40][220/500] eta: 0:00:06 time: 0.0225 data_time: 0.0020 memory: 572 2022/08/26 15:19:03 - mmengine - INFO - Epoch(val) [40][225/500] eta: 0:00:06 time: 0.0194 data_time: 0.0018 memory: 497 2022/08/26 15:19:03 - mmengine - INFO - Epoch(val) [40][230/500] eta: 0:00:07 time: 0.0264 data_time: 0.0016 memory: 507 2022/08/26 15:19:03 - mmengine - INFO - Epoch(val) [40][235/500] eta: 0:00:07 time: 0.0299 data_time: 0.0016 memory: 497 2022/08/26 15:19:03 - mmengine - INFO - Epoch(val) [40][240/500] eta: 0:00:05 time: 0.0223 data_time: 0.0016 memory: 497 2022/08/26 15:19:03 - mmengine - INFO - Epoch(val) [40][245/500] eta: 0:00:05 time: 0.0185 data_time: 0.0015 memory: 648 2022/08/26 15:19:03 - mmengine - INFO - Epoch(val) [40][250/500] eta: 0:00:04 time: 0.0176 data_time: 0.0015 memory: 497 2022/08/26 15:19:03 - mmengine - INFO - Epoch(val) [40][255/500] eta: 0:00:04 time: 0.0335 data_time: 0.0016 memory: 543 2022/08/26 15:19:04 - mmengine - INFO - Epoch(val) [40][260/500] eta: 0:00:08 time: 0.0343 data_time: 0.0016 memory: 516 2022/08/26 15:19:04 - mmengine - INFO - Epoch(val) [40][265/500] eta: 0:00:08 time: 0.0197 data_time: 0.0016 memory: 622 2022/08/26 15:19:04 - mmengine - INFO - Epoch(val) [40][270/500] eta: 0:00:04 time: 0.0211 data_time: 0.0015 memory: 505 2022/08/26 15:19:04 - mmengine - INFO - Epoch(val) [40][275/500] eta: 0:00:04 time: 0.0232 data_time: 0.0018 memory: 539 2022/08/26 15:19:04 - mmengine - INFO - Epoch(val) [40][280/500] eta: 0:00:04 time: 0.0220 data_time: 0.0020 memory: 473 2022/08/26 15:19:04 - mmengine - INFO - Epoch(val) [40][285/500] eta: 0:00:04 time: 0.0182 data_time: 0.0019 memory: 481 2022/08/26 15:19:04 - mmengine - INFO - Epoch(val) [40][290/500] eta: 0:00:03 time: 0.0166 data_time: 0.0017 memory: 464 2022/08/26 15:19:04 - mmengine - INFO - Epoch(val) [40][295/500] eta: 0:00:03 time: 0.0174 data_time: 0.0017 memory: 489 2022/08/26 15:19:04 - mmengine - INFO - Epoch(val) [40][300/500] eta: 0:00:03 time: 0.0193 data_time: 0.0017 memory: 497 2022/08/26 15:19:04 - mmengine - INFO - Epoch(val) [40][305/500] eta: 0:00:03 time: 0.0193 data_time: 0.0017 memory: 597 2022/08/26 15:19:05 - mmengine - INFO - Epoch(val) [40][310/500] eta: 0:00:04 time: 0.0211 data_time: 0.0017 memory: 606 2022/08/26 15:19:05 - mmengine - INFO - Epoch(val) [40][315/500] eta: 0:00:04 time: 0.0262 data_time: 0.0016 memory: 539 2022/08/26 15:19:05 - mmengine - INFO - Epoch(val) [40][320/500] eta: 0:00:06 time: 0.0354 data_time: 0.0018 memory: 499 2022/08/26 15:19:05 - mmengine - INFO - Epoch(val) [40][325/500] eta: 0:00:06 time: 0.0325 data_time: 0.0018 memory: 497 2022/08/26 15:19:05 - mmengine - INFO - Epoch(val) [40][330/500] eta: 0:00:03 time: 0.0219 data_time: 0.0015 memory: 497 2022/08/26 15:19:05 - mmengine - INFO - Epoch(val) [40][335/500] eta: 0:00:03 time: 0.0215 data_time: 0.0014 memory: 497 2022/08/26 15:19:05 - mmengine - INFO - Epoch(val) [40][340/500] eta: 0:00:04 time: 0.0257 data_time: 0.0015 memory: 522 2022/08/26 15:19:05 - mmengine - INFO - Epoch(val) [40][345/500] eta: 0:00:04 time: 0.0260 data_time: 0.0015 memory: 572 2022/08/26 15:19:06 - mmengine - INFO - Epoch(val) [40][350/500] eta: 0:00:03 time: 0.0253 data_time: 0.0014 memory: 499 2022/08/26 15:19:06 - mmengine - INFO - Epoch(val) [40][355/500] eta: 0:00:03 time: 0.0281 data_time: 0.0015 memory: 525 2022/08/26 15:19:06 - mmengine - INFO - Epoch(val) [40][360/500] eta: 0:00:03 time: 0.0261 data_time: 0.0016 memory: 525 2022/08/26 15:19:06 - mmengine - INFO - Epoch(val) [40][365/500] eta: 0:00:03 time: 0.0277 data_time: 0.0017 memory: 707 2022/08/26 15:19:06 - mmengine - INFO - Epoch(val) [40][370/500] eta: 0:00:03 time: 0.0260 data_time: 0.0018 memory: 539 2022/08/26 15:19:06 - mmengine - INFO - Epoch(val) [40][375/500] eta: 0:00:03 time: 0.0216 data_time: 0.0017 memory: 765 2022/08/26 15:19:06 - mmengine - INFO - Epoch(val) [40][380/500] eta: 0:00:02 time: 0.0220 data_time: 0.0016 memory: 572 2022/08/26 15:19:06 - mmengine - INFO - Epoch(val) [40][385/500] eta: 0:00:02 time: 0.0211 data_time: 0.0016 memory: 497 2022/08/26 15:19:07 - mmengine - INFO - Epoch(val) [40][390/500] eta: 0:00:03 time: 0.0277 data_time: 0.0017 memory: 539 2022/08/26 15:19:07 - mmengine - INFO - Epoch(val) [40][395/500] eta: 0:00:03 time: 0.0330 data_time: 0.0016 memory: 489 2022/08/26 15:19:07 - mmengine - INFO - Epoch(val) [40][400/500] eta: 0:00:03 time: 0.0317 data_time: 0.0015 memory: 497 2022/08/26 15:19:07 - mmengine - INFO - Epoch(val) [40][405/500] eta: 0:00:03 time: 0.0266 data_time: 0.0015 memory: 497 2022/08/26 15:19:07 - mmengine - INFO - Epoch(val) [40][410/500] eta: 0:00:02 time: 0.0226 data_time: 0.0014 memory: 497 2022/08/26 15:19:07 - mmengine - INFO - Epoch(val) [40][415/500] eta: 0:00:02 time: 0.0367 data_time: 0.0032 memory: 497 2022/08/26 15:19:08 - mmengine - INFO - Epoch(val) [40][420/500] eta: 0:00:02 time: 0.0374 data_time: 0.0035 memory: 497 2022/08/26 15:19:08 - mmengine - INFO - Epoch(val) [40][425/500] eta: 0:00:02 time: 0.0271 data_time: 0.0017 memory: 489 2022/08/26 15:19:08 - mmengine - INFO - Epoch(val) [40][430/500] eta: 0:00:01 time: 0.0232 data_time: 0.0014 memory: 516 2022/08/26 15:19:08 - mmengine - INFO - Epoch(val) [40][435/500] eta: 0:00:01 time: 0.0206 data_time: 0.0014 memory: 681 2022/08/26 15:19:08 - mmengine - INFO - Epoch(val) [40][440/500] eta: 0:00:01 time: 0.0258 data_time: 0.0014 memory: 539 2022/08/26 15:19:08 - mmengine - INFO - Epoch(val) [40][445/500] eta: 0:00:01 time: 0.0228 data_time: 0.0014 memory: 489 2022/08/26 15:19:08 - mmengine - INFO - Epoch(val) [40][450/500] eta: 0:00:00 time: 0.0175 data_time: 0.0014 memory: 507 2022/08/26 15:19:08 - mmengine - INFO - Epoch(val) [40][455/500] eta: 0:00:00 time: 0.0207 data_time: 0.0015 memory: 606 2022/08/26 15:19:08 - mmengine - INFO - Epoch(val) [40][460/500] eta: 0:00:00 time: 0.0230 data_time: 0.0017 memory: 499 2022/08/26 15:19:09 - mmengine - INFO - Epoch(val) [40][465/500] eta: 0:00:00 time: 0.0209 data_time: 0.0017 memory: 539 2022/08/26 15:19:09 - mmengine - INFO - Epoch(val) [40][470/500] eta: 0:00:00 time: 0.0182 data_time: 0.0015 memory: 516 2022/08/26 15:19:09 - mmengine - INFO - Epoch(val) [40][475/500] eta: 0:00:00 time: 0.0195 data_time: 0.0016 memory: 507 2022/08/26 15:19:09 - mmengine - INFO - Epoch(val) [40][480/500] eta: 0:00:00 time: 0.0226 data_time: 0.0016 memory: 464 2022/08/26 15:19:09 - mmengine - INFO - Epoch(val) [40][485/500] eta: 0:00:00 time: 0.0280 data_time: 0.0017 memory: 497 2022/08/26 15:19:09 - mmengine - INFO - Epoch(val) [40][490/500] eta: 0:00:00 time: 0.0270 data_time: 0.0016 memory: 497 2022/08/26 15:19:09 - mmengine - INFO - Epoch(val) [40][495/500] eta: 0:00:00 time: 0.0190 data_time: 0.0014 memory: 480 2022/08/26 15:19:09 - mmengine - INFO - Epoch(val) [40][500/500] eta: 0:00:00 time: 0.0177 data_time: 0.0014 memory: 522 2022/08/26 15:19:09 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 15:19:09 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.6810, precision: 0.6262, hmean: 0.6524 2022/08/26 15:19:09 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.6810, precision: 0.6262, hmean: 0.6524 2022/08/26 15:19:09 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.6810, precision: 0.6262, hmean: 0.6524 2022/08/26 15:19:09 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.6810, precision: 0.6262, hmean: 0.6524 2022/08/26 15:19:09 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.6810, precision: 0.6262, hmean: 0.6524 2022/08/26 15:19:09 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.6810, precision: 0.6367, hmean: 0.6581 2022/08/26 15:19:09 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.6803, precision: 0.6641, hmean: 0.6721 2022/08/26 15:19:09 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.6761, precision: 0.7083, hmean: 0.6918 2022/08/26 15:19:09 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.6693, precision: 0.7408, hmean: 0.7032 2022/08/26 15:19:09 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.6585, precision: 0.7791, hmean: 0.7138 2022/08/26 15:19:09 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.6397, precision: 0.8012, hmean: 0.7114 2022/08/26 15:19:09 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.5945, precision: 0.8242, hmean: 0.6907 2022/08/26 15:19:09 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.4813, precision: 0.8540, hmean: 0.6156 2022/08/26 15:19:09 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.1119, precision: 0.9297, hmean: 0.1997 2022/08/26 15:19:09 - mmengine - INFO - Epoch(val) [40][500/500] icdar/precision: 0.7791 icdar/recall: 0.6585 icdar/hmean: 0.7138 2022/08/26 15:19:13 - mmengine - INFO - Epoch(train) [41][5/63] lr: 9.3969e-04 eta: 0:00:00 time: 0.6712 data_time: 0.1193 memory: 12277 loss_text: 0.1540 loss_kernel: 0.0599 loss_embedding: 0.0410 loss: 0.2549 2022/08/26 15:19:16 - mmengine - INFO - Epoch(train) [41][10/63] lr: 9.3969e-04 eta: 5:54:33 time: 0.6262 data_time: 0.1210 memory: 12277 loss_text: 0.1385 loss_kernel: 0.0548 loss_embedding: 0.0400 loss: 0.2334 2022/08/26 15:19:18 - mmengine - INFO - Epoch(train) [41][15/63] lr: 9.3969e-04 eta: 5:54:33 time: 0.5138 data_time: 0.0252 memory: 12277 loss_text: 0.1299 loss_kernel: 0.0509 loss_embedding: 0.0410 loss: 0.2218 2022/08/26 15:19:21 - mmengine - INFO - Epoch(train) [41][20/63] lr: 9.3969e-04 eta: 5:54:14 time: 0.5101 data_time: 0.0264 memory: 12277 loss_text: 0.1404 loss_kernel: 0.0558 loss_embedding: 0.0444 loss: 0.2406 2022/08/26 15:19:23 - mmengine - INFO - Epoch(train) [41][25/63] lr: 9.3969e-04 eta: 5:54:14 time: 0.5165 data_time: 0.0313 memory: 12277 loss_text: 0.1414 loss_kernel: 0.0601 loss_embedding: 0.0479 loss: 0.2494 2022/08/26 15:19:26 - mmengine - INFO - Epoch(train) [41][30/63] lr: 9.3969e-04 eta: 5:53:58 time: 0.5308 data_time: 0.0364 memory: 12277 loss_text: 0.1306 loss_kernel: 0.0563 loss_embedding: 0.0496 loss: 0.2364 2022/08/26 15:19:30 - mmengine - INFO - Epoch(train) [41][35/63] lr: 9.3969e-04 eta: 5:53:58 time: 0.6030 data_time: 0.0377 memory: 12277 loss_text: 0.1377 loss_kernel: 0.0547 loss_embedding: 0.0473 loss: 0.2398 2022/08/26 15:19:32 - mmengine - INFO - Epoch(train) [41][40/63] lr: 9.3969e-04 eta: 5:53:55 time: 0.6276 data_time: 0.0341 memory: 12277 loss_text: 0.1462 loss_kernel: 0.0562 loss_embedding: 0.0499 loss: 0.2523 2022/08/26 15:19:35 - mmengine - INFO - Epoch(train) [41][45/63] lr: 9.3969e-04 eta: 5:53:55 time: 0.5972 data_time: 0.0343 memory: 12277 loss_text: 0.1443 loss_kernel: 0.0556 loss_embedding: 0.0534 loss: 0.2533 2022/08/26 15:19:38 - mmengine - INFO - Epoch(train) [41][50/63] lr: 9.3969e-04 eta: 5:53:46 time: 0.5775 data_time: 0.0338 memory: 12277 loss_text: 0.1494 loss_kernel: 0.0563 loss_embedding: 0.0456 loss: 0.2513 2022/08/26 15:19:41 - mmengine - INFO - Epoch(train) [41][55/63] lr: 9.3969e-04 eta: 5:53:46 time: 0.5311 data_time: 0.0251 memory: 12277 loss_text: 0.1370 loss_kernel: 0.0553 loss_embedding: 0.0477 loss: 0.2400 2022/08/26 15:19:43 - mmengine - INFO - Epoch(train) [41][60/63] lr: 9.3969e-04 eta: 5:53:26 time: 0.5031 data_time: 0.0281 memory: 12277 loss_text: 0.1347 loss_kernel: 0.0600 loss_embedding: 0.0506 loss: 0.2453 2022/08/26 15:19:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:19:49 - mmengine - INFO - Epoch(train) [42][5/63] lr: 9.3818e-04 eta: 5:53:26 time: 0.6242 data_time: 0.1536 memory: 12277 loss_text: 0.1402 loss_kernel: 0.0601 loss_embedding: 0.0434 loss: 0.2437 2022/08/26 15:19:51 - mmengine - INFO - Epoch(train) [42][10/63] lr: 9.3818e-04 eta: 5:53:01 time: 0.6571 data_time: 0.1539 memory: 12277 loss_text: 0.1227 loss_kernel: 0.0549 loss_embedding: 0.0478 loss: 0.2254 2022/08/26 15:19:54 - mmengine - INFO - Epoch(train) [42][15/63] lr: 9.3818e-04 eta: 5:53:01 time: 0.5014 data_time: 0.0287 memory: 12277 loss_text: 0.1356 loss_kernel: 0.0535 loss_embedding: 0.0504 loss: 0.2394 2022/08/26 15:19:56 - mmengine - INFO - Epoch(train) [42][20/63] lr: 9.3818e-04 eta: 5:52:43 time: 0.5109 data_time: 0.0298 memory: 12277 loss_text: 0.1400 loss_kernel: 0.0540 loss_embedding: 0.0458 loss: 0.2398 2022/08/26 15:19:59 - mmengine - INFO - Epoch(train) [42][25/63] lr: 9.3818e-04 eta: 5:52:43 time: 0.5206 data_time: 0.0272 memory: 12277 loss_text: 0.1306 loss_kernel: 0.0534 loss_embedding: 0.0544 loss: 0.2384 2022/08/26 15:20:01 - mmengine - INFO - Epoch(train) [42][30/63] lr: 9.3818e-04 eta: 5:52:26 time: 0.5217 data_time: 0.0274 memory: 12277 loss_text: 0.1439 loss_kernel: 0.0571 loss_embedding: 0.0601 loss: 0.2610 2022/08/26 15:20:04 - mmengine - INFO - Epoch(train) [42][35/63] lr: 9.3818e-04 eta: 5:52:26 time: 0.5274 data_time: 0.0353 memory: 12277 loss_text: 0.1466 loss_kernel: 0.0578 loss_embedding: 0.0516 loss: 0.2560 2022/08/26 15:20:07 - mmengine - INFO - Epoch(train) [42][40/63] lr: 9.3818e-04 eta: 5:52:11 time: 0.5339 data_time: 0.0422 memory: 12277 loss_text: 0.1398 loss_kernel: 0.0537 loss_embedding: 0.0436 loss: 0.2372 2022/08/26 15:20:10 - mmengine - INFO - Epoch(train) [42][45/63] lr: 9.3818e-04 eta: 5:52:11 time: 0.6062 data_time: 0.0362 memory: 12277 loss_text: 0.1448 loss_kernel: 0.0562 loss_embedding: 0.0400 loss: 0.2411 2022/08/26 15:20:13 - mmengine - INFO - Epoch(train) [42][50/63] lr: 9.3818e-04 eta: 5:52:03 time: 0.5817 data_time: 0.0272 memory: 12277 loss_text: 0.1429 loss_kernel: 0.0577 loss_embedding: 0.0424 loss: 0.2430 2022/08/26 15:20:15 - mmengine - INFO - Epoch(train) [42][55/63] lr: 9.3818e-04 eta: 5:52:03 time: 0.5302 data_time: 0.0598 memory: 12277 loss_text: 0.1265 loss_kernel: 0.0543 loss_embedding: 0.0450 loss: 0.2258 2022/08/26 15:20:18 - mmengine - INFO - Epoch(train) [42][60/63] lr: 9.3818e-04 eta: 5:51:47 time: 0.5304 data_time: 0.0627 memory: 12277 loss_text: 0.1231 loss_kernel: 0.0542 loss_embedding: 0.0399 loss: 0.2172 2022/08/26 15:20:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:20:24 - mmengine - INFO - Epoch(train) [43][5/63] lr: 9.3667e-04 eta: 5:51:47 time: 0.6550 data_time: 0.1664 memory: 12277 loss_text: 0.1273 loss_kernel: 0.0501 loss_embedding: 0.0353 loss: 0.2127 2022/08/26 15:20:27 - mmengine - INFO - Epoch(train) [43][10/63] lr: 9.3667e-04 eta: 5:51:33 time: 0.7335 data_time: 0.1747 memory: 12277 loss_text: 0.1200 loss_kernel: 0.0514 loss_embedding: 0.0376 loss: 0.2089 2022/08/26 15:20:30 - mmengine - INFO - Epoch(train) [43][15/63] lr: 9.3667e-04 eta: 5:51:33 time: 0.6183 data_time: 0.0459 memory: 12277 loss_text: 0.1323 loss_kernel: 0.0533 loss_embedding: 0.0375 loss: 0.2231 2022/08/26 15:20:33 - mmengine - INFO - Epoch(train) [43][20/63] lr: 9.3667e-04 eta: 5:51:23 time: 0.5690 data_time: 0.0399 memory: 12277 loss_text: 0.1373 loss_kernel: 0.0558 loss_embedding: 0.0414 loss: 0.2344 2022/08/26 15:20:35 - mmengine - INFO - Epoch(train) [43][25/63] lr: 9.3667e-04 eta: 5:51:23 time: 0.5464 data_time: 0.0263 memory: 12277 loss_text: 0.1209 loss_kernel: 0.0557 loss_embedding: 0.0415 loss: 0.2181 2022/08/26 15:20:38 - mmengine - INFO - Epoch(train) [43][30/63] lr: 9.3667e-04 eta: 5:51:11 time: 0.5577 data_time: 0.0305 memory: 12277 loss_text: 0.1368 loss_kernel: 0.0570 loss_embedding: 0.0404 loss: 0.2341 2022/08/26 15:20:41 - mmengine - INFO - Epoch(train) [43][35/63] lr: 9.3667e-04 eta: 5:51:11 time: 0.5478 data_time: 0.0342 memory: 12277 loss_text: 0.1335 loss_kernel: 0.0560 loss_embedding: 0.0412 loss: 0.2307 2022/08/26 15:20:43 - mmengine - INFO - Epoch(train) [43][40/63] lr: 9.3667e-04 eta: 5:50:55 time: 0.5188 data_time: 0.0303 memory: 12277 loss_text: 0.1169 loss_kernel: 0.0512 loss_embedding: 0.0379 loss: 0.2061 2022/08/26 15:20:46 - mmengine - INFO - Epoch(train) [43][45/63] lr: 9.3667e-04 eta: 5:50:55 time: 0.5267 data_time: 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loss_kernel: 0.0611 loss_embedding: 0.0383 loss: 0.2342 2022/08/26 15:21:01 - mmengine - INFO - Epoch(train) [44][10/63] lr: 9.3515e-04 eta: 5:49:57 time: 0.6260 data_time: 0.1432 memory: 12277 loss_text: 0.1352 loss_kernel: 0.0575 loss_embedding: 0.0404 loss: 0.2331 2022/08/26 15:21:04 - mmengine - INFO - Epoch(train) [44][15/63] lr: 9.3515e-04 eta: 5:49:57 time: 0.5142 data_time: 0.0314 memory: 12277 loss_text: 0.1361 loss_kernel: 0.0543 loss_embedding: 0.0454 loss: 0.2358 2022/08/26 15:21:07 - mmengine - INFO - Epoch(train) [44][20/63] lr: 9.3515e-04 eta: 5:49:41 time: 0.5207 data_time: 0.0238 memory: 12277 loss_text: 0.1317 loss_kernel: 0.0535 loss_embedding: 0.0479 loss: 0.2332 2022/08/26 15:21:09 - mmengine - INFO - Epoch(train) [44][25/63] lr: 9.3515e-04 eta: 5:49:41 time: 0.5466 data_time: 0.0242 memory: 12277 loss_text: 0.1442 loss_kernel: 0.0592 loss_embedding: 0.0492 loss: 0.2526 2022/08/26 15:21:12 - mmengine - INFO - Epoch(train) [44][30/63] lr: 9.3515e-04 eta: 5:49:31 time: 0.5613 data_time: 0.0350 memory: 12277 loss_text: 0.1376 loss_kernel: 0.0591 loss_embedding: 0.0444 loss: 0.2411 2022/08/26 15:21:15 - mmengine - INFO - Epoch(train) [44][35/63] lr: 9.3515e-04 eta: 5:49:31 time: 0.5253 data_time: 0.0362 memory: 12277 loss_text: 0.1405 loss_kernel: 0.0603 loss_embedding: 0.0443 loss: 0.2451 2022/08/26 15:21:18 - mmengine - INFO - Epoch(train) [44][40/63] lr: 9.3515e-04 eta: 5:49:28 time: 0.6225 data_time: 0.0270 memory: 12277 loss_text: 0.1468 loss_kernel: 0.0578 loss_embedding: 0.0431 loss: 0.2477 2022/08/26 15:21:21 - mmengine - INFO - Epoch(train) [44][45/63] lr: 9.3515e-04 eta: 5:49:28 time: 0.6521 data_time: 0.0269 memory: 12277 loss_text: 0.1452 loss_kernel: 0.0531 loss_embedding: 0.0418 loss: 0.2401 2022/08/26 15:21:24 - mmengine - INFO - Epoch(train) [44][50/63] lr: 9.3515e-04 eta: 5:49:18 time: 0.5721 data_time: 0.0294 memory: 12277 loss_text: 0.1285 loss_kernel: 0.0525 loss_embedding: 0.0432 loss: 0.2242 2022/08/26 15:21:27 - mmengine - INFO - Epoch(train) [44][55/63] lr: 9.3515e-04 eta: 5:49:18 time: 0.5671 data_time: 0.0317 memory: 12277 loss_text: 0.1212 loss_kernel: 0.0520 loss_embedding: 0.0414 loss: 0.2145 2022/08/26 15:21:29 - mmengine - INFO - Epoch(train) [44][60/63] lr: 9.3515e-04 eta: 5:49:03 time: 0.5196 data_time: 0.0284 memory: 12277 loss_text: 0.1233 loss_kernel: 0.0511 loss_embedding: 0.0434 loss: 0.2178 2022/08/26 15:21:31 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:21:34 - mmengine - INFO - Epoch(train) [45][5/63] lr: 9.3364e-04 eta: 5:49:03 time: 0.5969 data_time: 0.1390 memory: 12277 loss_text: 0.1238 loss_kernel: 0.0521 loss_embedding: 0.0380 loss: 0.2138 2022/08/26 15:21:37 - mmengine - INFO - Epoch(train) [45][10/63] lr: 9.3364e-04 eta: 5:48:40 time: 0.6568 data_time: 0.1489 memory: 12277 loss_text: 0.1293 loss_kernel: 0.0553 loss_embedding: 0.0417 loss: 0.2263 2022/08/26 15:21:40 - mmengine - INFO - Epoch(train) [45][15/63] lr: 9.3364e-04 eta: 5:48:40 time: 0.5527 data_time: 0.0327 memory: 12277 loss_text: 0.1394 loss_kernel: 0.0602 loss_embedding: 0.0439 loss: 0.2436 2022/08/26 15:21:43 - mmengine - INFO - Epoch(train) [45][20/63] lr: 9.3364e-04 eta: 5:48:26 time: 0.5343 data_time: 0.0255 memory: 12277 loss_text: 0.1278 loss_kernel: 0.0595 loss_embedding: 0.0397 loss: 0.2270 2022/08/26 15:21:45 - mmengine - INFO - Epoch(train) [45][25/63] lr: 9.3364e-04 eta: 5:48:26 time: 0.5216 data_time: 0.0262 memory: 12277 loss_text: 0.1327 loss_kernel: 0.0564 loss_embedding: 0.0388 loss: 0.2278 2022/08/26 15:21:48 - mmengine - INFO - Epoch(train) [45][30/63] lr: 9.3364e-04 eta: 5:48:12 time: 0.5345 data_time: 0.0315 memory: 12277 loss_text: 0.1320 loss_kernel: 0.0531 loss_embedding: 0.0433 loss: 0.2284 2022/08/26 15:21:50 - mmengine - INFO - Epoch(train) [45][35/63] lr: 9.3364e-04 eta: 5:48:12 time: 0.5314 data_time: 0.0293 memory: 12277 loss_text: 0.1243 loss_kernel: 0.0520 loss_embedding: 0.0421 loss: 0.2185 2022/08/26 15:21:53 - mmengine - INFO - Epoch(train) [45][40/63] lr: 9.3364e-04 eta: 5:47:56 time: 0.5135 data_time: 0.0229 memory: 12277 loss_text: 0.1253 loss_kernel: 0.0516 loss_embedding: 0.0367 loss: 0.2136 2022/08/26 15:21:56 - mmengine - INFO - Epoch(train) [45][45/63] lr: 9.3364e-04 eta: 5:47:56 time: 0.5161 data_time: 0.0243 memory: 12277 loss_text: 0.1258 loss_kernel: 0.0533 loss_embedding: 0.0384 loss: 0.2175 2022/08/26 15:21:59 - mmengine - INFO - Epoch(train) [45][50/63] lr: 9.3364e-04 eta: 5:47:48 time: 0.5862 data_time: 0.0373 memory: 12277 loss_text: 0.1241 loss_kernel: 0.0559 loss_embedding: 0.0436 loss: 0.2236 2022/08/26 15:22:01 - mmengine - INFO - Epoch(train) [45][55/63] lr: 9.3364e-04 eta: 5:47:48 time: 0.5737 data_time: 0.0369 memory: 12277 loss_text: 0.1351 loss_kernel: 0.0591 loss_embedding: 0.0428 loss: 0.2369 2022/08/26 15:22:04 - mmengine - INFO - Epoch(train) [45][60/63] lr: 9.3364e-04 eta: 5:47:30 time: 0.4964 data_time: 0.0232 memory: 12277 loss_text: 0.1406 loss_kernel: 0.0573 loss_embedding: 0.0437 loss: 0.2416 2022/08/26 15:22:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:22:09 - mmengine - INFO - Epoch(train) [46][5/63] lr: 9.3213e-04 eta: 5:47:30 time: 0.5947 data_time: 0.1395 memory: 12277 loss_text: 0.1082 loss_kernel: 0.0507 loss_embedding: 0.0378 loss: 0.1967 2022/08/26 15:22:11 - mmengine - INFO - Epoch(train) [46][10/63] lr: 9.3213e-04 eta: 5:47:04 time: 0.6270 data_time: 0.1492 memory: 12277 loss_text: 0.1200 loss_kernel: 0.0498 loss_embedding: 0.0373 loss: 0.2071 2022/08/26 15:22:14 - mmengine - INFO - Epoch(train) [46][15/63] lr: 9.3213e-04 eta: 5:47:04 time: 0.5598 data_time: 0.0279 memory: 12277 loss_text: 0.1373 loss_kernel: 0.0514 loss_embedding: 0.0406 loss: 0.2293 2022/08/26 15:22:19 - mmengine - INFO - Epoch(train) [46][20/63] lr: 9.3213e-04 eta: 5:47:18 time: 0.7608 data_time: 0.0229 memory: 12277 loss_text: 0.1442 loss_kernel: 0.0559 loss_embedding: 0.0413 loss: 0.2414 2022/08/26 15:22:23 - mmengine - INFO - Epoch(train) [46][25/63] lr: 9.3213e-04 eta: 5:47:18 time: 0.8520 data_time: 0.0372 memory: 12277 loss_text: 0.1604 loss_kernel: 0.0587 loss_embedding: 0.0391 loss: 0.2582 2022/08/26 15:22:26 - mmengine - INFO - Epoch(train) [46][30/63] lr: 9.3213e-04 eta: 5:47:23 time: 0.6821 data_time: 0.0339 memory: 12277 loss_text: 0.1674 loss_kernel: 0.0611 loss_embedding: 0.0395 loss: 0.2681 2022/08/26 15:22:28 - mmengine - INFO - Epoch(train) [46][35/63] lr: 9.3213e-04 eta: 5:47:23 time: 0.5547 data_time: 0.0263 memory: 12277 loss_text: 0.1523 loss_kernel: 0.0599 loss_embedding: 0.0428 loss: 0.2551 2022/08/26 15:22:31 - mmengine - INFO - Epoch(train) [46][40/63] lr: 9.3213e-04 eta: 5:47:09 time: 0.5296 data_time: 0.0285 memory: 12277 loss_text: 0.1396 loss_kernel: 0.0540 loss_embedding: 0.0462 loss: 0.2398 2022/08/26 15:22:34 - mmengine - INFO - Epoch(train) [46][45/63] lr: 9.3213e-04 eta: 5:47:09 time: 0.5174 data_time: 0.0314 memory: 12277 loss_text: 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loss: 0.2502 2022/08/26 15:22:49 - mmengine - INFO - Epoch(train) [47][10/63] lr: 9.3061e-04 eta: 5:46:15 time: 0.6455 data_time: 0.1615 memory: 12277 loss_text: 0.1289 loss_kernel: 0.0553 loss_embedding: 0.0442 loss: 0.2284 2022/08/26 15:22:52 - mmengine - INFO - Epoch(train) [47][15/63] lr: 9.3061e-04 eta: 5:46:15 time: 0.4991 data_time: 0.0231 memory: 12277 loss_text: 0.1327 loss_kernel: 0.0532 loss_embedding: 0.0419 loss: 0.2277 2022/08/26 15:22:54 - mmengine - INFO - Epoch(train) [47][20/63] lr: 9.3061e-04 eta: 5:45:59 time: 0.5104 data_time: 0.0313 memory: 12277 loss_text: 0.1486 loss_kernel: 0.0540 loss_embedding: 0.0415 loss: 0.2442 2022/08/26 15:22:57 - mmengine - INFO - Epoch(train) [47][25/63] lr: 9.3061e-04 eta: 5:45:59 time: 0.5210 data_time: 0.0326 memory: 12277 loss_text: 0.1379 loss_kernel: 0.0519 loss_embedding: 0.0373 loss: 0.2271 2022/08/26 15:23:00 - mmengine - INFO - Epoch(train) [47][30/63] lr: 9.3061e-04 eta: 5:45:44 time: 0.5194 data_time: 0.0240 memory: 12277 loss_text: 0.1417 loss_kernel: 0.0607 loss_embedding: 0.0346 loss: 0.2370 2022/08/26 15:23:02 - mmengine - INFO - Epoch(train) [47][35/63] lr: 9.3061e-04 eta: 5:45:44 time: 0.5402 data_time: 0.0244 memory: 12277 loss_text: 0.1460 loss_kernel: 0.0629 loss_embedding: 0.0397 loss: 0.2486 2022/08/26 15:23:05 - mmengine - INFO - Epoch(train) [47][40/63] lr: 9.3061e-04 eta: 5:45:32 time: 0.5473 data_time: 0.0330 memory: 12277 loss_text: 0.1304 loss_kernel: 0.0562 loss_embedding: 0.0416 loss: 0.2282 2022/08/26 15:23:08 - mmengine - INFO - Epoch(train) [47][45/63] lr: 9.3061e-04 eta: 5:45:32 time: 0.5309 data_time: 0.0324 memory: 12277 loss_text: 0.1232 loss_kernel: 0.0540 loss_embedding: 0.0363 loss: 0.2135 2022/08/26 15:23:10 - mmengine - INFO - Epoch(train) [47][50/63] lr: 9.3061e-04 eta: 5:45:17 time: 0.5145 data_time: 0.0201 memory: 12277 loss_text: 0.1192 loss_kernel: 0.0514 loss_embedding: 0.0352 loss: 0.2059 2022/08/26 15:23:13 - mmengine - INFO - Epoch(train) [47][55/63] lr: 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panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:23:42 - mmengine - INFO - Epoch(train) [48][40/63] lr: 9.2910e-04 eta: 5:44:34 time: 0.5329 data_time: 0.0219 memory: 12277 loss_text: 0.1335 loss_kernel: 0.0610 loss_embedding: 0.0383 loss: 0.2327 2022/08/26 15:23:45 - mmengine - INFO - Epoch(train) [48][45/63] lr: 9.2910e-04 eta: 5:44:34 time: 0.4952 data_time: 0.0234 memory: 12277 loss_text: 0.1198 loss_kernel: 0.0550 loss_embedding: 0.0408 loss: 0.2156 2022/08/26 15:23:47 - mmengine - INFO - Epoch(train) [48][50/63] lr: 9.2910e-04 eta: 5:44:18 time: 0.5067 data_time: 0.0308 memory: 12277 loss_text: 0.1251 loss_kernel: 0.0522 loss_embedding: 0.0438 loss: 0.2211 2022/08/26 15:23:51 - mmengine - INFO - Epoch(train) [48][55/63] lr: 9.2910e-04 eta: 5:44:18 time: 0.5903 data_time: 0.0353 memory: 12277 loss_text: 0.1286 loss_kernel: 0.0548 loss_embedding: 0.0381 loss: 0.2216 2022/08/26 15:23:53 - mmengine - INFO - Epoch(train) [48][60/63] lr: 9.2910e-04 eta: 5:44:11 time: 0.5867 data_time: 0.0290 memory: 12277 loss_text: 0.1291 loss_kernel: 0.0580 loss_embedding: 0.0376 loss: 0.2246 2022/08/26 15:23:55 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:23:58 - mmengine - INFO - Epoch(train) [49][5/63] lr: 9.2758e-04 eta: 5:44:11 time: 0.5679 data_time: 0.1108 memory: 12277 loss_text: 0.1505 loss_kernel: 0.0593 loss_embedding: 0.0391 loss: 0.2489 2022/08/26 15:24:01 - mmengine - INFO - Epoch(train) [49][10/63] lr: 9.2758e-04 eta: 5:43:46 time: 0.6142 data_time: 0.1232 memory: 12277 loss_text: 0.1358 loss_kernel: 0.0518 loss_embedding: 0.0400 loss: 0.2276 2022/08/26 15:24:03 - mmengine - INFO - Epoch(train) [49][15/63] lr: 9.2758e-04 eta: 5:43:46 time: 0.5375 data_time: 0.0306 memory: 12277 loss_text: 0.1413 loss_kernel: 0.0548 loss_embedding: 0.0406 loss: 0.2367 2022/08/26 15:24:06 - mmengine - INFO - Epoch(train) [49][20/63] lr: 9.2758e-04 eta: 5:43:30 time: 0.5105 data_time: 0.0196 memory: 12277 loss_text: 0.1296 loss_kernel: 0.0582 loss_embedding: 0.0387 loss: 0.2265 2022/08/26 15:24:09 - mmengine - INFO - Epoch(train) [49][25/63] lr: 9.2758e-04 eta: 5:43:30 time: 0.5400 data_time: 0.0245 memory: 12277 loss_text: 0.1293 loss_kernel: 0.0560 loss_embedding: 0.0434 loss: 0.2287 2022/08/26 15:24:11 - mmengine - INFO - Epoch(train) [49][30/63] lr: 9.2758e-04 eta: 5:43:21 time: 0.5611 data_time: 0.0348 memory: 12277 loss_text: 0.1512 loss_kernel: 0.0567 loss_embedding: 0.0455 loss: 0.2533 2022/08/26 15:24:16 - mmengine - INFO - Epoch(train) [49][35/63] lr: 9.2758e-04 eta: 5:43:21 time: 0.7056 data_time: 0.0370 memory: 12277 loss_text: 0.1500 loss_kernel: 0.0568 loss_embedding: 0.0463 loss: 0.2530 2022/08/26 15:24:18 - mmengine - INFO - Epoch(train) [49][40/63] lr: 9.2758e-04 eta: 5:43:26 time: 0.6898 data_time: 0.0262 memory: 12277 loss_text: 0.1273 loss_kernel: 0.0521 loss_embedding: 0.0450 loss: 0.2244 2022/08/26 15:24:22 - mmengine - INFO - Epoch(train) [49][45/63] lr: 9.2758e-04 eta: 5:43:26 time: 0.6511 data_time: 0.0281 memory: 12277 loss_text: 0.1342 loss_kernel: 0.0547 loss_embedding: 0.0436 loss: 0.2324 2022/08/26 15:24:25 - mmengine - INFO - Epoch(train) [49][50/63] lr: 9.2758e-04 eta: 5:43:27 time: 0.6543 data_time: 0.0380 memory: 12277 loss_text: 0.1384 loss_kernel: 0.0537 loss_embedding: 0.0406 loss: 0.2327 2022/08/26 15:24:28 - mmengine - INFO - Epoch(train) [49][55/63] lr: 9.2758e-04 eta: 5:43:27 time: 0.5686 data_time: 0.0312 memory: 12277 loss_text: 0.1288 loss_kernel: 0.0563 loss_embedding: 0.0379 loss: 0.2229 2022/08/26 15:24:30 - mmengine - INFO - Epoch(train) [49][60/63] lr: 9.2758e-04 eta: 5:43:17 time: 0.5583 data_time: 0.0221 memory: 12277 loss_text: 0.1214 loss_kernel: 0.0558 loss_embedding: 0.0418 loss: 0.2190 2022/08/26 15:24:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:24:36 - mmengine - INFO - Epoch(train) [50][5/63] lr: 9.2607e-04 eta: 5:43:17 time: 0.6098 data_time: 0.1503 memory: 12277 loss_text: 0.1121 loss_kernel: 0.0487 loss_embedding: 0.0391 loss: 0.2000 2022/08/26 15:24:38 - mmengine - INFO - Epoch(train) [50][10/63] lr: 9.2607e-04 eta: 5:42:57 time: 0.6630 data_time: 0.1639 memory: 12277 loss_text: 0.1150 loss_kernel: 0.0502 loss_embedding: 0.0384 loss: 0.2036 2022/08/26 15:24:41 - mmengine - INFO - Epoch(train) [50][15/63] lr: 9.2607e-04 eta: 5:42:57 time: 0.5479 data_time: 0.0340 memory: 12277 loss_text: 0.1213 loss_kernel: 0.0567 loss_embedding: 0.0391 loss: 0.2171 2022/08/26 15:24:44 - mmengine - INFO - Epoch(train) [50][20/63] lr: 9.2607e-04 eta: 5:42:43 time: 0.5229 data_time: 0.0234 memory: 12277 loss_text: 0.1366 loss_kernel: 0.0583 loss_embedding: 0.0393 loss: 0.2342 2022/08/26 15:24:46 - mmengine - INFO - Epoch(train) [50][25/63] lr: 9.2607e-04 eta: 5:42:43 time: 0.5117 data_time: 0.0244 memory: 12277 loss_text: 0.1420 loss_kernel: 0.0568 loss_embedding: 0.0416 loss: 0.2403 2022/08/26 15:24:49 - mmengine - INFO - Epoch(train) [50][30/63] lr: 9.2607e-04 eta: 5:42:31 time: 0.5411 data_time: 0.0390 memory: 12277 loss_text: 0.1319 loss_kernel: 0.0555 loss_embedding: 0.0398 loss: 0.2272 2022/08/26 15:24:52 - mmengine - INFO - Epoch(train) [50][35/63] lr: 9.2607e-04 eta: 5:42:31 time: 0.5381 data_time: 0.0414 memory: 12277 loss_text: 0.1167 loss_kernel: 0.0520 loss_embedding: 0.0361 loss: 0.2048 2022/08/26 15:24:54 - mmengine - INFO - Epoch(train) [50][40/63] lr: 9.2607e-04 eta: 5:42:17 time: 0.5174 data_time: 0.0247 memory: 12277 loss_text: 0.1262 loss_kernel: 0.0536 loss_embedding: 0.0396 loss: 0.2194 2022/08/26 15:24:57 - mmengine - INFO - Epoch(train) [50][45/63] lr: 9.2607e-04 eta: 5:42:17 time: 0.5169 data_time: 0.0208 memory: 12277 loss_text: 0.1423 loss_kernel: 0.0591 loss_embedding: 0.0413 loss: 0.2428 2022/08/26 15:24:59 - mmengine - INFO - Epoch(train) [50][50/63] lr: 9.2607e-04 eta: 5:42:03 time: 0.5164 data_time: 0.0314 memory: 12277 loss_text: 0.1297 loss_kernel: 0.0581 loss_embedding: 0.0401 loss: 0.2279 2022/08/26 15:25:02 - mmengine - INFO - Epoch(train) [50][55/63] lr: 9.2607e-04 eta: 5:42:03 time: 0.5199 data_time: 0.0327 memory: 12277 loss_text: 0.1241 loss_kernel: 0.0536 loss_embedding: 0.0389 loss: 0.2165 2022/08/26 15:25:04 - mmengine - INFO - Epoch(train) [50][60/63] lr: 9.2607e-04 eta: 5:41:49 time: 0.5169 data_time: 0.0250 memory: 12277 loss_text: 0.1323 loss_kernel: 0.0510 loss_embedding: 0.0407 loss: 0.2239 2022/08/26 15:25:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:25:10 - mmengine - INFO - Epoch(train) [51][5/63] lr: 9.2455e-04 eta: 5:41:49 time: 0.6468 data_time: 0.1699 memory: 12277 loss_text: 0.1314 loss_kernel: 0.0538 loss_embedding: 0.0461 loss: 0.2314 2022/08/26 15:25:14 - mmengine - INFO - Epoch(train) [51][10/63] lr: 9.2455e-04 eta: 5:41:50 time: 0.8550 data_time: 0.1874 memory: 12277 loss_text: 0.1224 loss_kernel: 0.0532 loss_embedding: 0.0439 loss: 0.2195 2022/08/26 15:25:17 - mmengine - INFO - Epoch(train) [51][15/63] lr: 9.2455e-04 eta: 5:41:50 time: 0.6954 data_time: 0.0335 memory: 12277 loss_text: 0.1289 loss_kernel: 0.0569 loss_embedding: 0.0377 loss: 0.2235 2022/08/26 15:25:21 - mmengine - INFO - Epoch(train) [51][20/63] lr: 9.2455e-04 eta: 5:41:54 time: 0.6795 data_time: 0.0223 memory: 12277 loss_text: 0.1265 loss_kernel: 0.0556 loss_embedding: 0.0352 loss: 0.2174 2022/08/26 15:25:24 - mmengine - INFO - Epoch(train) [51][25/63] lr: 9.2455e-04 eta: 5:41:54 time: 0.6974 data_time: 0.0365 memory: 12277 loss_text: 0.1089 loss_kernel: 0.0495 loss_embedding: 0.0360 loss: 0.1944 2022/08/26 15:25:27 - mmengine - INFO - Epoch(train) [51][30/63] lr: 9.2455e-04 eta: 5:41:44 time: 0.5535 data_time: 0.0355 memory: 12277 loss_text: 0.1060 loss_kernel: 0.0497 loss_embedding: 0.0376 loss: 0.1934 2022/08/26 15:25:29 - mmengine - INFO - Epoch(train) [51][35/63] lr: 9.2455e-04 eta: 5:41:44 time: 0.5241 data_time: 0.0253 memory: 12277 loss_text: 0.1084 loss_kernel: 0.0495 loss_embedding: 0.0344 loss: 0.1923 2022/08/26 15:25:32 - mmengine - INFO - Epoch(train) [51][40/63] lr: 9.2455e-04 eta: 5:41:30 time: 0.5185 data_time: 0.0250 memory: 12277 loss_text: 0.1174 loss_kernel: 0.0498 loss_embedding: 0.0396 loss: 0.2068 2022/08/26 15:25:34 - mmengine - INFO - Epoch(train) [51][45/63] lr: 9.2455e-04 eta: 5:41:30 time: 0.5290 data_time: 0.0336 memory: 12277 loss_text: 0.1212 loss_kernel: 0.0494 loss_embedding: 0.0417 loss: 0.2123 2022/08/26 15:25:37 - mmengine - INFO - Epoch(train) [51][50/63] lr: 9.2455e-04 eta: 5:41:15 time: 0.5126 data_time: 0.0317 memory: 12277 loss_text: 0.1154 loss_kernel: 0.0497 loss_embedding: 0.0375 loss: 0.2026 2022/08/26 15:25:40 - mmengine - INFO - Epoch(train) [51][55/63] lr: 9.2455e-04 eta: 5:41:15 time: 0.5268 data_time: 0.0254 memory: 12277 loss_text: 0.1197 loss_kernel: 0.0520 loss_embedding: 0.0389 loss: 0.2105 2022/08/26 15:25:42 - mmengine - INFO - Epoch(train) [51][60/63] lr: 9.2455e-04 eta: 5:41:03 time: 0.5290 data_time: 0.0254 memory: 12277 loss_text: 0.1245 loss_kernel: 0.0520 loss_embedding: 0.0412 loss: 0.2177 2022/08/26 15:25:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:25:47 - mmengine - INFO - Epoch(train) [52][5/63] lr: 9.2304e-04 eta: 5:41:03 time: 0.6046 data_time: 0.1264 memory: 12277 loss_text: 0.1269 loss_kernel: 0.0504 loss_embedding: 0.0447 loss: 0.2221 2022/08/26 15:25:50 - mmengine - INFO - Epoch(train) [52][10/63] lr: 9.2304e-04 eta: 5:40:39 time: 0.6166 data_time: 0.1195 memory: 12277 loss_text: 0.1390 loss_kernel: 0.0588 loss_embedding: 0.0369 loss: 0.2347 2022/08/26 15:25:52 - mmengine - INFO - Epoch(train) [52][15/63] lr: 9.2304e-04 eta: 5:40:39 time: 0.5119 data_time: 0.0223 memory: 12277 loss_text: 0.1445 loss_kernel: 0.0596 loss_embedding: 0.0375 loss: 0.2416 2022/08/26 15:25:55 - mmengine - INFO - Epoch(train) [52][20/63] lr: 9.2304e-04 eta: 5:40:26 time: 0.5324 data_time: 0.0271 memory: 12277 loss_text: 0.1241 loss_kernel: 0.0522 loss_embedding: 0.0462 loss: 0.2225 2022/08/26 15:25:58 - mmengine - INFO - Epoch(train) [52][25/63] lr: 9.2304e-04 eta: 5:40:26 time: 0.5235 data_time: 0.0272 memory: 12277 loss_text: 0.1288 loss_kernel: 0.0524 loss_embedding: 0.0479 loss: 0.2291 2022/08/26 15:26:00 - mmengine - INFO - Epoch(train) [52][30/63] lr: 9.2304e-04 eta: 5:40:12 time: 0.5098 data_time: 0.0205 memory: 12277 loss_text: 0.1218 loss_kernel: 0.0517 loss_embedding: 0.0364 loss: 0.2100 2022/08/26 15:26:03 - mmengine - INFO - Epoch(train) [52][35/63] lr: 9.2304e-04 eta: 5:40:12 time: 0.5200 data_time: 0.0218 memory: 12277 loss_text: 0.1046 loss_kernel: 0.0494 loss_embedding: 0.0351 loss: 0.1891 2022/08/26 15:26:06 - mmengine - INFO - Epoch(train) [52][40/63] lr: 9.2304e-04 eta: 5:39:59 time: 0.5241 data_time: 0.0296 memory: 12277 loss_text: 0.1030 loss_kernel: 0.0501 loss_embedding: 0.0405 loss: 0.1936 2022/08/26 15:26:08 - mmengine - INFO - Epoch(train) [52][45/63] lr: 9.2304e-04 eta: 5:39:59 time: 0.5491 data_time: 0.0286 memory: 12277 loss_text: 0.1029 loss_kernel: 0.0498 loss_embedding: 0.0405 loss: 0.1932 2022/08/26 15:26:11 - mmengine - INFO - Epoch(train) [52][50/63] lr: 9.2304e-04 eta: 5:39:50 time: 0.5642 data_time: 0.0224 memory: 12277 loss_text: 0.1066 loss_kernel: 0.0493 loss_embedding: 0.0403 loss: 0.1962 2022/08/26 15:26:15 - mmengine - INFO - Epoch(train) [52][55/63] lr: 9.2304e-04 eta: 5:39:50 time: 0.6800 data_time: 0.0251 memory: 12277 loss_text: 0.1269 loss_kernel: 0.0554 loss_embedding: 0.0381 loss: 0.2203 2022/08/26 15:26:18 - mmengine - INFO - Epoch(train) [52][60/63] lr: 9.2304e-04 eta: 5:39:57 time: 0.7090 data_time: 0.0330 memory: 12277 loss_text: 0.1520 loss_kernel: 0.0634 loss_embedding: 0.0402 loss: 0.2556 2022/08/26 15:26:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:26:25 - mmengine - INFO - Epoch(train) [53][5/63] lr: 9.2152e-04 eta: 5:39:57 time: 0.8059 data_time: 0.1618 memory: 12277 loss_text: 0.1257 loss_kernel: 0.0567 loss_embedding: 0.0423 loss: 0.2247 2022/08/26 15:26:28 - mmengine - INFO - Epoch(train) [53][10/63] lr: 9.2152e-04 eta: 5:39:40 time: 0.6842 data_time: 0.1626 memory: 12277 loss_text: 0.1263 loss_kernel: 0.0528 loss_embedding: 0.0405 loss: 0.2195 2022/08/26 15:26:30 - mmengine - INFO - Epoch(train) [53][15/63] lr: 9.2152e-04 eta: 5:39:40 time: 0.5308 data_time: 0.0348 memory: 12277 loss_text: 0.1113 loss_kernel: 0.0510 loss_embedding: 0.0369 loss: 0.1993 2022/08/26 15:26:33 - mmengine - INFO - Epoch(train) [53][20/63] lr: 9.2152e-04 eta: 5:39:27 time: 0.5176 data_time: 0.0335 memory: 12277 loss_text: 0.1143 loss_kernel: 0.0509 loss_embedding: 0.0346 loss: 0.1998 2022/08/26 15:26:36 - mmengine - INFO - Epoch(train) [53][25/63] lr: 9.2152e-04 eta: 5:39:27 time: 0.5411 data_time: 0.0245 memory: 12277 loss_text: 0.1139 loss_kernel: 0.0511 loss_embedding: 0.0353 loss: 0.2003 2022/08/26 15:26:38 - mmengine - INFO - Epoch(train) [53][30/63] lr: 9.2152e-04 eta: 5:39:19 time: 0.5715 data_time: 0.0250 memory: 12277 loss_text: 0.1074 loss_kernel: 0.0495 loss_embedding: 0.0324 loss: 0.1893 2022/08/26 15:26:41 - mmengine - INFO - Epoch(train) [53][35/63] lr: 9.2152e-04 eta: 5:39:19 time: 0.5620 data_time: 0.0333 memory: 12277 loss_text: 0.1169 loss_kernel: 0.0493 loss_embedding: 0.0332 loss: 0.1994 2022/08/26 15:26:44 - mmengine - INFO - Epoch(train) [53][40/63] lr: 9.2152e-04 eta: 5:39:07 time: 0.5322 data_time: 0.0285 memory: 12277 loss_text: 0.1315 loss_kernel: 0.0531 loss_embedding: 0.0402 loss: 0.2248 2022/08/26 15:26:46 - mmengine - INFO - Epoch(train) [53][45/63] lr: 9.2152e-04 eta: 5:39:07 time: 0.5211 data_time: 0.0213 memory: 12277 loss_text: 0.1279 loss_kernel: 0.0538 loss_embedding: 0.0477 loss: 0.2294 2022/08/26 15:26:49 - mmengine - INFO - Epoch(train) [53][50/63] lr: 9.2152e-04 eta: 5:38:55 time: 0.5267 data_time: 0.0228 memory: 12277 loss_text: 0.1253 loss_kernel: 0.0544 loss_embedding: 0.0408 loss: 0.2205 2022/08/26 15:26:52 - mmengine - INFO - Epoch(train) [53][55/63] lr: 9.2152e-04 eta: 5:38:55 time: 0.5288 data_time: 0.0329 memory: 12277 loss_text: 0.1272 loss_kernel: 0.0530 loss_embedding: 0.0360 loss: 0.2162 2022/08/26 15:26:54 - mmengine - INFO - Epoch(train) [53][60/63] lr: 9.2152e-04 eta: 5:38:42 time: 0.5218 data_time: 0.0332 memory: 12277 loss_text: 0.1218 loss_kernel: 0.0523 loss_embedding: 0.0414 loss: 0.2155 2022/08/26 15:26:56 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:27:00 - mmengine - INFO - Epoch(train) [54][5/63] lr: 9.2000e-04 eta: 5:38:42 time: 0.6167 data_time: 0.1321 memory: 12277 loss_text: 0.1082 loss_kernel: 0.0517 loss_embedding: 0.0351 loss: 0.1950 2022/08/26 15:27:02 - mmengine - INFO - Epoch(train) [54][10/63] lr: 9.2000e-04 eta: 5:38:24 time: 0.6721 data_time: 0.1455 memory: 12277 loss_text: 0.1170 loss_kernel: 0.0508 loss_embedding: 0.0405 loss: 0.2082 2022/08/26 15:27:05 - mmengine - INFO - Epoch(train) [54][15/63] lr: 9.2000e-04 eta: 5:38:24 time: 0.5373 data_time: 0.0338 memory: 12277 loss_text: 0.1333 loss_kernel: 0.0528 loss_embedding: 0.0398 loss: 0.2259 2022/08/26 15:27:07 - mmengine - INFO - Epoch(train) [54][20/63] lr: 9.2000e-04 eta: 5:38:11 time: 0.5167 data_time: 0.0209 memory: 12277 loss_text: 0.1335 loss_kernel: 0.0575 loss_embedding: 0.0374 loss: 0.2284 2022/08/26 15:27:11 - mmengine - INFO - Epoch(train) [54][25/63] lr: 9.2000e-04 eta: 5:38:11 time: 0.5942 data_time: 0.0254 memory: 12277 loss_text: 0.1331 loss_kernel: 0.0584 loss_embedding: 0.0396 loss: 0.2311 2022/08/26 15:27:14 - mmengine - INFO - Epoch(train) [54][30/63] lr: 9.2000e-04 eta: 5:38:11 time: 0.6506 data_time: 0.0360 memory: 12277 loss_text: 0.1435 loss_kernel: 0.0608 loss_embedding: 0.0389 loss: 0.2433 2022/08/26 15:27:17 - mmengine - INFO - Epoch(train) [54][35/63] lr: 9.2000e-04 eta: 5:38:11 time: 0.6357 data_time: 0.0315 memory: 12277 loss_text: 0.1490 loss_kernel: 0.0623 loss_embedding: 0.0374 loss: 0.2487 2022/08/26 15:27:21 - mmengine - INFO - Epoch(train) [54][40/63] lr: 9.2000e-04 eta: 5:38:12 time: 0.6533 data_time: 0.0261 memory: 12277 loss_text: 0.1289 loss_kernel: 0.0514 loss_embedding: 0.0396 loss: 0.2199 2022/08/26 15:27:23 - mmengine - INFO - Epoch(train) [54][45/63] lr: 9.2000e-04 eta: 5:38:12 time: 0.5866 data_time: 0.0297 memory: 12277 loss_text: 0.1193 loss_kernel: 0.0511 loss_embedding: 0.0363 loss: 0.2067 2022/08/26 15:27:26 - mmengine - INFO - Epoch(train) [54][50/63] lr: 9.2000e-04 eta: 5:37:59 time: 0.5223 data_time: 0.0370 memory: 12277 loss_text: 0.1181 loss_kernel: 0.0569 loss_embedding: 0.0367 loss: 0.2117 2022/08/26 15:27:28 - mmengine - INFO - Epoch(train) [54][55/63] lr: 9.2000e-04 eta: 5:37:59 time: 0.5142 data_time: 0.0315 memory: 12277 loss_text: 0.1192 loss_kernel: 0.0571 loss_embedding: 0.0356 loss: 0.2120 2022/08/26 15:27:31 - mmengine - INFO - Epoch(train) [54][60/63] lr: 9.2000e-04 eta: 5:37:44 time: 0.4994 data_time: 0.0203 memory: 12277 loss_text: 0.1258 loss_kernel: 0.0528 loss_embedding: 0.0330 loss: 0.2117 2022/08/26 15:27:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:27:36 - mmengine - INFO - Epoch(train) [55][5/63] lr: 9.1849e-04 eta: 5:37:44 time: 0.6289 data_time: 0.1521 memory: 12277 loss_text: 0.1145 loss_kernel: 0.0496 loss_embedding: 0.0352 loss: 0.1993 2022/08/26 15:27:39 - mmengine - INFO - Epoch(train) [55][10/63] lr: 9.1849e-04 eta: 5:37:26 time: 0.6639 data_time: 0.1626 memory: 12277 loss_text: 0.1253 loss_kernel: 0.0521 loss_embedding: 0.0358 loss: 0.2132 2022/08/26 15:27:41 - mmengine - INFO - Epoch(train) [55][15/63] lr: 9.1849e-04 eta: 5:37:26 time: 0.5205 data_time: 0.0305 memory: 12277 loss_text: 0.1272 loss_kernel: 0.0521 loss_embedding: 0.0388 loss: 0.2181 2022/08/26 15:27:44 - mmengine - INFO - Epoch(train) [55][20/63] lr: 9.1849e-04 eta: 5:37:12 time: 0.5055 data_time: 0.0205 memory: 12277 loss_text: 0.1297 loss_kernel: 0.0536 loss_embedding: 0.0399 loss: 0.2232 2022/08/26 15:27:46 - mmengine - INFO - Epoch(train) [55][25/63] lr: 9.1849e-04 eta: 5:37:12 time: 0.5143 data_time: 0.0227 memory: 12277 loss_text: 0.1319 loss_kernel: 0.0538 loss_embedding: 0.0381 loss: 0.2238 2022/08/26 15:27:50 - mmengine - INFO - Epoch(train) [55][30/63] lr: 9.1849e-04 eta: 5:37:05 time: 0.5760 data_time: 0.0412 memory: 12277 loss_text: 0.1228 loss_kernel: 0.0506 loss_embedding: 0.0367 loss: 0.2102 2022/08/26 15:27:52 - mmengine - INFO - Epoch(train) [55][35/63] lr: 9.1849e-04 eta: 5:37:05 time: 0.5771 data_time: 0.0420 memory: 12277 loss_text: 0.1276 loss_kernel: 0.0510 loss_embedding: 0.0394 loss: 0.2180 2022/08/26 15:27:55 - mmengine - INFO - Epoch(train) [55][40/63] lr: 9.1849e-04 eta: 5:36:53 time: 0.5245 data_time: 0.0239 memory: 12277 loss_text: 0.1302 loss_kernel: 0.0554 loss_embedding: 0.0412 loss: 0.2268 2022/08/26 15:27:57 - mmengine - INFO - Epoch(train) [55][45/63] lr: 9.1849e-04 eta: 5:36:53 time: 0.5175 data_time: 0.0226 memory: 12277 loss_text: 0.1129 loss_kernel: 0.0531 loss_embedding: 0.0405 loss: 0.2064 2022/08/26 15:28:00 - mmengine - INFO - Epoch(train) [55][50/63] lr: 9.1849e-04 eta: 5:36:43 time: 0.5494 data_time: 0.0350 memory: 12277 loss_text: 0.1083 loss_kernel: 0.0514 loss_embedding: 0.0411 loss: 0.2008 2022/08/26 15:28:03 - mmengine - INFO - Epoch(train) [55][55/63] lr: 9.1849e-04 eta: 5:36:43 time: 0.5501 data_time: 0.0333 memory: 12277 loss_text: 0.1168 loss_kernel: 0.0543 loss_embedding: 0.0374 loss: 0.2085 2022/08/26 15:28:05 - mmengine - INFO - Epoch(train) [55][60/63] lr: 9.1849e-04 eta: 5:36:30 time: 0.5150 data_time: 0.0219 memory: 12277 loss_text: 0.1185 loss_kernel: 0.0543 loss_embedding: 0.0365 loss: 0.2093 2022/08/26 15:28:07 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:28:11 - mmengine - INFO - Epoch(train) [56][5/63] lr: 9.1697e-04 eta: 5:36:30 time: 0.6676 data_time: 0.1198 memory: 12277 loss_text: 0.1131 loss_kernel: 0.0521 loss_embedding: 0.0407 loss: 0.2059 2022/08/26 15:28:14 - mmengine - INFO - Epoch(train) [56][10/63] lr: 9.1697e-04 eta: 5:36:21 time: 0.7563 data_time: 0.1287 memory: 12277 loss_text: 0.1284 loss_kernel: 0.0569 loss_embedding: 0.0387 loss: 0.2239 2022/08/26 15:28:17 - mmengine - INFO - Epoch(train) [56][15/63] lr: 9.1697e-04 eta: 5:36:21 time: 0.6312 data_time: 0.0335 memory: 12277 loss_text: 0.1369 loss_kernel: 0.0567 loss_embedding: 0.0377 loss: 0.2313 2022/08/26 15:28:20 - mmengine - INFO - Epoch(train) [56][20/63] lr: 9.1697e-04 eta: 5:36:18 time: 0.6193 data_time: 0.0316 memory: 12277 loss_text: 0.1274 loss_kernel: 0.0527 loss_embedding: 0.0365 loss: 0.2166 2022/08/26 15:28:23 - mmengine - INFO - Epoch(train) [56][25/63] lr: 9.1697e-04 eta: 5:36:18 time: 0.5714 data_time: 0.0263 memory: 12277 loss_text: 0.1111 loss_kernel: 0.0478 loss_embedding: 0.0328 loss: 0.1917 2022/08/26 15:28:26 - mmengine - INFO - Epoch(train) [56][30/63] lr: 9.1697e-04 eta: 5:36:08 time: 0.5422 data_time: 0.0287 memory: 12277 loss_text: 0.1174 loss_kernel: 0.0525 loss_embedding: 0.0334 loss: 0.2033 2022/08/26 15:28:28 - mmengine - INFO - Epoch(train) [56][35/63] lr: 9.1697e-04 eta: 5:36:08 time: 0.5260 data_time: 0.0291 memory: 12277 loss_text: 0.1228 loss_kernel: 0.0530 loss_embedding: 0.0358 loss: 0.2116 2022/08/26 15:28:31 - mmengine - INFO - Epoch(train) [56][40/63] lr: 9.1697e-04 eta: 5:35:54 time: 0.5071 data_time: 0.0207 memory: 12277 loss_text: 0.1245 loss_kernel: 0.0512 loss_embedding: 0.0354 loss: 0.2111 2022/08/26 15:28:33 - mmengine - INFO - Epoch(train) [56][45/63] lr: 9.1697e-04 eta: 5:35:54 time: 0.5049 data_time: 0.0218 memory: 12277 loss_text: 0.1529 loss_kernel: 0.0651 loss_embedding: 0.0336 loss: 0.2517 2022/08/26 15:28:36 - mmengine - INFO - Epoch(train) [56][50/63] lr: 9.1697e-04 eta: 5:35:40 time: 0.4997 data_time: 0.0281 memory: 12277 loss_text: 0.1487 loss_kernel: 0.0627 loss_embedding: 0.0361 loss: 0.2475 2022/08/26 15:28:39 - mmengine - INFO - Epoch(train) [56][55/63] lr: 9.1697e-04 eta: 5:35:40 time: 0.5315 data_time: 0.0281 memory: 12277 loss_text: 0.1216 loss_kernel: 0.0496 loss_embedding: 0.0381 loss: 0.2093 2022/08/26 15:28:41 - mmengine - INFO - Epoch(train) [56][60/63] lr: 9.1697e-04 eta: 5:35:29 time: 0.5408 data_time: 0.0236 memory: 12277 loss_text: 0.1266 loss_kernel: 0.0516 loss_embedding: 0.0400 loss: 0.2183 2022/08/26 15:28:43 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:28:47 - mmengine - INFO - Epoch(train) [57][5/63] lr: 9.1545e-04 eta: 5:35:29 time: 0.6214 data_time: 0.1595 memory: 12277 loss_text: 0.1326 loss_kernel: 0.0589 loss_embedding: 0.0381 loss: 0.2296 2022/08/26 15:28:49 - mmengine - INFO - Epoch(train) [57][10/63] lr: 9.1545e-04 eta: 5:35:10 time: 0.6383 data_time: 0.1616 memory: 12277 loss_text: 0.1158 loss_kernel: 0.0513 loss_embedding: 0.0355 loss: 0.2026 2022/08/26 15:28:52 - mmengine - INFO - Epoch(train) [57][15/63] lr: 9.1545e-04 eta: 5:35:10 time: 0.5064 data_time: 0.0252 memory: 12277 loss_text: 0.1259 loss_kernel: 0.0517 loss_embedding: 0.0326 loss: 0.2102 2022/08/26 15:28:54 - mmengine - INFO - Epoch(train) [57][20/63] lr: 9.1545e-04 eta: 5:34:56 time: 0.5034 data_time: 0.0228 memory: 12277 loss_text: 0.1165 loss_kernel: 0.0533 loss_embedding: 0.0381 loss: 0.2079 2022/08/26 15:28:57 - mmengine - INFO - Epoch(train) [57][25/63] lr: 9.1545e-04 eta: 5:34:56 time: 0.4981 data_time: 0.0210 memory: 12277 loss_text: 0.1169 loss_kernel: 0.0543 loss_embedding: 0.0396 loss: 0.2109 2022/08/26 15:28:59 - mmengine - INFO - Epoch(train) [57][30/63] lr: 9.1545e-04 eta: 5:34:43 time: 0.5196 data_time: 0.0283 memory: 12277 loss_text: 0.1259 loss_kernel: 0.0534 loss_embedding: 0.0368 loss: 0.2161 2022/08/26 15:29:02 - mmengine - INFO - Epoch(train) [57][35/63] lr: 9.1545e-04 eta: 5:34:43 time: 0.5263 data_time: 0.0331 memory: 12277 loss_text: 0.1138 loss_kernel: 0.0517 loss_embedding: 0.0349 loss: 0.2004 2022/08/26 15:29:04 - mmengine - INFO - Epoch(train) [57][40/63] lr: 9.1545e-04 eta: 5:34:31 time: 0.5165 data_time: 0.0250 memory: 12277 loss_text: 0.1165 loss_kernel: 0.0530 loss_embedding: 0.0365 loss: 0.2060 2022/08/26 15:29:07 - mmengine - INFO - Epoch(train) [57][45/63] lr: 9.1545e-04 eta: 5:34:31 time: 0.4916 data_time: 0.0188 memory: 12277 loss_text: 0.1234 loss_kernel: 0.0519 loss_embedding: 0.0358 loss: 0.2111 2022/08/26 15:29:11 - mmengine - INFO - Epoch(train) [57][50/63] lr: 9.1545e-04 eta: 5:34:33 time: 0.6714 data_time: 0.0314 memory: 12277 loss_text: 0.1314 loss_kernel: 0.0530 loss_embedding: 0.0358 loss: 0.2201 2022/08/26 15:29:14 - mmengine - INFO - Epoch(train) [57][55/63] lr: 9.1545e-04 eta: 5:34:33 time: 0.7048 data_time: 0.0311 memory: 12277 loss_text: 0.1351 loss_kernel: 0.0543 loss_embedding: 0.0408 loss: 0.2301 2022/08/26 15:29:17 - mmengine - INFO - Epoch(train) [57][60/63] lr: 9.1545e-04 eta: 5:34:30 time: 0.6178 data_time: 0.0207 memory: 12277 loss_text: 0.1273 loss_kernel: 0.0526 loss_embedding: 0.0429 loss: 0.2227 2022/08/26 15:29:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:29:23 - mmengine - INFO - Epoch(train) [58][5/63] lr: 9.1393e-04 eta: 5:34:30 time: 0.7217 data_time: 0.1534 memory: 12277 loss_text: 0.1449 loss_kernel: 0.0575 loss_embedding: 0.0394 loss: 0.2418 2022/08/26 15:29:26 - mmengine - INFO - Epoch(train) [58][10/63] lr: 9.1393e-04 eta: 5:34:14 time: 0.6721 data_time: 0.1531 memory: 12277 loss_text: 0.1423 loss_kernel: 0.0584 loss_embedding: 0.0426 loss: 0.2433 2022/08/26 15:29:28 - mmengine - INFO - Epoch(train) [58][15/63] lr: 9.1393e-04 eta: 5:34:14 time: 0.5038 data_time: 0.0251 memory: 12277 loss_text: 0.1228 loss_kernel: 0.0515 loss_embedding: 0.0392 loss: 0.2135 2022/08/26 15:29:31 - mmengine - INFO - Epoch(train) [58][20/63] lr: 9.1393e-04 eta: 5:34:01 time: 0.5077 data_time: 0.0277 memory: 12277 loss_text: 0.1150 loss_kernel: 0.0507 loss_embedding: 0.0339 loss: 0.1995 2022/08/26 15:29:33 - mmengine - INFO - Epoch(train) [58][25/63] lr: 9.1393e-04 eta: 5:34:01 time: 0.5105 data_time: 0.0297 memory: 12277 loss_text: 0.1199 loss_kernel: 0.0508 loss_embedding: 0.0337 loss: 0.2045 2022/08/26 15:29:36 - mmengine - INFO - Epoch(train) [58][30/63] lr: 9.1393e-04 eta: 5:33:47 time: 0.4994 data_time: 0.0204 memory: 12277 loss_text: 0.1140 loss_kernel: 0.0528 loss_embedding: 0.0315 loss: 0.1984 2022/08/26 15:29:38 - mmengine - INFO - Epoch(train) [58][35/63] lr: 9.1393e-04 eta: 5:33:47 time: 0.5052 data_time: 0.0189 memory: 12277 loss_text: 0.1269 loss_kernel: 0.0562 loss_embedding: 0.0333 loss: 0.2164 2022/08/26 15:29:41 - mmengine - INFO - Epoch(train) [58][40/63] lr: 9.1393e-04 eta: 5:33:33 time: 0.5032 data_time: 0.0259 memory: 12277 loss_text: 0.1355 loss_kernel: 0.0544 loss_embedding: 0.0363 loss: 0.2262 2022/08/26 15:29:43 - mmengine - INFO - Epoch(train) [58][45/63] lr: 9.1393e-04 eta: 5:33:33 time: 0.5045 data_time: 0.0270 memory: 12277 loss_text: 0.1230 loss_kernel: 0.0502 loss_embedding: 0.0384 loss: 0.2116 2022/08/26 15:29:46 - mmengine - INFO - Epoch(train) [58][50/63] lr: 9.1393e-04 eta: 5:33:19 time: 0.4988 data_time: 0.0196 memory: 12277 loss_text: 0.1327 loss_kernel: 0.0490 loss_embedding: 0.0420 loss: 0.2238 2022/08/26 15:29:48 - mmengine - INFO - Epoch(train) [58][55/63] lr: 9.1393e-04 eta: 5:33:19 time: 0.4923 data_time: 0.0188 memory: 12277 loss_text: 0.1307 loss_kernel: 0.0519 loss_embedding: 0.0378 loss: 0.2204 2022/08/26 15:29:51 - mmengine - INFO - Epoch(train) [58][60/63] lr: 9.1393e-04 eta: 5:33:11 time: 0.5663 data_time: 0.0222 memory: 12277 loss_text: 0.1281 loss_kernel: 0.0534 loss_embedding: 0.0384 loss: 0.2199 2022/08/26 15:29:53 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:29:57 - mmengine - INFO - Epoch(train) [59][5/63] lr: 9.1242e-04 eta: 5:33:11 time: 0.6426 data_time: 0.1646 memory: 12277 loss_text: 0.1341 loss_kernel: 0.0538 loss_embedding: 0.0455 loss: 0.2334 2022/08/26 15:29:59 - mmengine - INFO - Epoch(train) [59][10/63] lr: 9.1242e-04 eta: 5:32:54 time: 0.6590 data_time: 0.1635 memory: 12277 loss_text: 0.1391 loss_kernel: 0.0532 loss_embedding: 0.0367 loss: 0.2290 2022/08/26 15:30:02 - mmengine - INFO - Epoch(train) [59][15/63] lr: 9.1242e-04 eta: 5:32:54 time: 0.5014 data_time: 0.0280 memory: 12277 loss_text: 0.1521 loss_kernel: 0.0551 loss_embedding: 0.0348 loss: 0.2420 2022/08/26 15:30:06 - mmengine - INFO - Epoch(train) [59][20/63] lr: 9.1242e-04 eta: 5:32:51 time: 0.6193 data_time: 0.0397 memory: 12277 loss_text: 0.1313 loss_kernel: 0.0510 loss_embedding: 0.0386 loss: 0.2210 2022/08/26 15:30:08 - mmengine - INFO - Epoch(train) [59][25/63] lr: 9.1242e-04 eta: 5:32:51 time: 0.6231 data_time: 0.0352 memory: 12277 loss_text: 0.1141 loss_kernel: 0.0570 loss_embedding: 0.0404 loss: 0.2115 2022/08/26 15:30:11 - mmengine - INFO - Epoch(train) [59][30/63] lr: 9.1242e-04 eta: 5:32:45 time: 0.5837 data_time: 0.0244 memory: 12277 loss_text: 0.1220 loss_kernel: 0.0631 loss_embedding: 0.0374 loss: 0.2225 2022/08/26 15:30:14 - mmengine - INFO - Epoch(train) [59][35/63] lr: 9.1242e-04 eta: 5:32:45 time: 0.5815 data_time: 0.0279 memory: 12277 loss_text: 0.1288 loss_kernel: 0.0547 loss_embedding: 0.0426 loss: 0.2261 2022/08/26 15:30:17 - mmengine - INFO - Epoch(train) [59][40/63] lr: 9.1242e-04 eta: 5:32:34 time: 0.5227 data_time: 0.0327 memory: 12277 loss_text: 0.1325 loss_kernel: 0.0521 loss_embedding: 0.0447 loss: 0.2294 2022/08/26 15:30:19 - mmengine - INFO - Epoch(train) [59][45/63] lr: 9.1242e-04 eta: 5:32:34 time: 0.5439 data_time: 0.0295 memory: 12277 loss_text: 0.1231 loss_kernel: 0.0528 loss_embedding: 0.0398 loss: 0.2157 2022/08/26 15:30:22 - mmengine - INFO - Epoch(train) [59][50/63] lr: 9.1242e-04 eta: 5:32:21 time: 0.5137 data_time: 0.0205 memory: 12277 loss_text: 0.1102 loss_kernel: 0.0496 loss_embedding: 0.0334 loss: 0.1932 2022/08/26 15:30:24 - mmengine - INFO - Epoch(train) [59][55/63] lr: 9.1242e-04 eta: 5:32:21 time: 0.4845 data_time: 0.0178 memory: 12277 loss_text: 0.1286 loss_kernel: 0.0565 loss_embedding: 0.0309 loss: 0.2160 2022/08/26 15:30:27 - mmengine - INFO - Epoch(train) [59][60/63] lr: 9.1242e-04 eta: 5:32:07 time: 0.4946 data_time: 0.0232 memory: 12277 loss_text: 0.1226 loss_kernel: 0.0577 loss_embedding: 0.0338 loss: 0.2141 2022/08/26 15:30:28 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:30:32 - mmengine - INFO - Epoch(train) [60][5/63] lr: 9.1090e-04 eta: 5:32:07 time: 0.6120 data_time: 0.1474 memory: 12277 loss_text: 0.1274 loss_kernel: 0.0577 loss_embedding: 0.0349 loss: 0.2200 2022/08/26 15:30:34 - mmengine - INFO - Epoch(train) [60][10/63] lr: 9.1090e-04 eta: 5:31:49 time: 0.6456 data_time: 0.1478 memory: 12277 loss_text: 0.1213 loss_kernel: 0.0559 loss_embedding: 0.0330 loss: 0.2102 2022/08/26 15:30:37 - mmengine - INFO - Epoch(train) [60][15/63] lr: 9.1090e-04 eta: 5:31:49 time: 0.5125 data_time: 0.0232 memory: 12277 loss_text: 0.1092 loss_kernel: 0.0499 loss_embedding: 0.0372 loss: 0.1963 2022/08/26 15:30:40 - mmengine - INFO - Epoch(train) [60][20/63] lr: 9.1090e-04 eta: 5:31:38 time: 0.5213 data_time: 0.0255 memory: 12277 loss_text: 0.1125 loss_kernel: 0.0496 loss_embedding: 0.0374 loss: 0.1995 2022/08/26 15:30:42 - mmengine - INFO - Epoch(train) [60][25/63] lr: 9.1090e-04 eta: 5:31:38 time: 0.5341 data_time: 0.0248 memory: 12277 loss_text: 0.1255 loss_kernel: 0.0511 loss_embedding: 0.0338 loss: 0.2104 2022/08/26 15:30:45 - mmengine - INFO - Epoch(train) [60][30/63] lr: 9.1090e-04 eta: 5:31:27 time: 0.5319 data_time: 0.0225 memory: 12277 loss_text: 0.1309 loss_kernel: 0.0539 loss_embedding: 0.0336 loss: 0.2184 2022/08/26 15:30:48 - mmengine - INFO - Epoch(train) [60][35/63] lr: 9.1090e-04 eta: 5:31:27 time: 0.5232 data_time: 0.0274 memory: 12277 loss_text: 0.1280 loss_kernel: 0.0534 loss_embedding: 0.0323 loss: 0.2137 2022/08/26 15:30:50 - mmengine - INFO - Epoch(train) [60][40/63] lr: 9.1090e-04 eta: 5:31:16 time: 0.5281 data_time: 0.0274 memory: 12277 loss_text: 0.1242 loss_kernel: 0.0533 loss_embedding: 0.0316 loss: 0.2092 2022/08/26 15:30:53 - mmengine - INFO - Epoch(train) [60][45/63] lr: 9.1090e-04 eta: 5:31:16 time: 0.5152 data_time: 0.0206 memory: 12277 loss_text: 0.1071 loss_kernel: 0.0504 loss_embedding: 0.0310 loss: 0.1885 2022/08/26 15:30:55 - mmengine - INFO - Epoch(train) [60][50/63] lr: 9.1090e-04 eta: 5:31:03 time: 0.5040 data_time: 0.0223 memory: 12277 loss_text: 0.1129 loss_kernel: 0.0567 loss_embedding: 0.0309 loss: 0.2005 2022/08/26 15:30:59 - mmengine - INFO - Epoch(train) [60][55/63] lr: 9.1090e-04 eta: 5:31:03 time: 0.6166 data_time: 0.0251 memory: 12277 loss_text: 0.1305 loss_kernel: 0.0650 loss_embedding: 0.0331 loss: 0.2286 2022/08/26 15:31:02 - mmengine - INFO - Epoch(train) [60][60/63] lr: 9.1090e-04 eta: 5:31:03 time: 0.6424 data_time: 0.0257 memory: 12277 loss_text: 0.1310 loss_kernel: 0.0579 loss_embedding: 0.0298 loss: 0.2187 2022/08/26 15:31:03 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:31:03 - mmengine - INFO - Saving checkpoint at 60 epochs 2022/08/26 15:31:07 - mmengine - INFO - Epoch(val) [60][5/500] eta: 5:31:03 time: 0.0284 data_time: 0.0035 memory: 12277 2022/08/26 15:31:07 - mmengine - INFO - Epoch(val) [60][10/500] eta: 0:00:15 time: 0.0313 data_time: 0.0033 memory: 497 2022/08/26 15:31:07 - mmengine - INFO - Epoch(val) [60][15/500] eta: 0:00:15 time: 0.0237 data_time: 0.0011 memory: 539 2022/08/26 15:31:07 - mmengine - INFO - Epoch(val) [60][20/500] eta: 0:00:14 time: 0.0312 data_time: 0.0017 memory: 497 2022/08/26 15:31:07 - mmengine - INFO - Epoch(val) [60][25/500] eta: 0:00:14 time: 0.0465 data_time: 0.0026 memory: 505 2022/08/26 15:31:07 - mmengine - INFO - Epoch(val) [60][30/500] eta: 0:00:17 time: 0.0382 data_time: 0.0025 memory: 516 2022/08/26 15:31:08 - mmengine - INFO - Epoch(val) [60][35/500] eta: 0:00:17 time: 0.0215 data_time: 0.0017 memory: 497 2022/08/26 15:31:08 - mmengine - INFO - Epoch(val) [60][40/500] eta: 0:00:08 time: 0.0185 data_time: 0.0015 memory: 497 2022/08/26 15:31:08 - mmengine - INFO - Epoch(val) [60][45/500] eta: 0:00:08 time: 0.0154 data_time: 0.0014 memory: 480 2022/08/26 15:31:08 - mmengine - INFO - Epoch(val) [60][50/500] eta: 0:00:08 time: 0.0178 data_time: 0.0014 memory: 539 2022/08/26 15:31:08 - mmengine - INFO - Epoch(val) [60][55/500] eta: 0:00:08 time: 0.0215 data_time: 0.0016 memory: 561 2022/08/26 15:31:08 - mmengine - INFO - Epoch(val) [60][60/500] eta: 0:00:09 time: 0.0211 data_time: 0.0016 memory: 497 2022/08/26 15:31:08 - mmengine - INFO - Epoch(val) [60][65/500] eta: 0:00:09 time: 0.0210 data_time: 0.0015 memory: 597 2022/08/26 15:31:08 - mmengine - INFO - Epoch(val) [60][70/500] eta: 0:00:08 time: 0.0188 data_time: 0.0014 memory: 497 2022/08/26 15:31:08 - mmengine - INFO - Epoch(val) [60][75/500] eta: 0:00:08 time: 0.0192 data_time: 0.0014 memory: 556 2022/08/26 15:31:08 - mmengine - INFO - Epoch(val) [60][80/500] eta: 0:00:09 time: 0.0224 data_time: 0.0026 memory: 497 2022/08/26 15:31:09 - mmengine - INFO - Epoch(val) [60][85/500] eta: 0:00:09 time: 0.0221 data_time: 0.0026 memory: 564 2022/08/26 15:31:09 - mmengine - INFO - Epoch(val) [60][90/500] eta: 0:00:09 time: 0.0221 data_time: 0.0014 memory: 522 2022/08/26 15:31:09 - mmengine - INFO - Epoch(val) [60][95/500] eta: 0:00:09 time: 0.0240 data_time: 0.0016 memory: 756 2022/08/26 15:31:09 - mmengine - INFO - Epoch(val) [60][100/500] eta: 0:00:08 time: 0.0216 data_time: 0.0017 memory: 572 2022/08/26 15:31:09 - mmengine - INFO - Epoch(val) [60][105/500] eta: 0:00:08 time: 0.0202 data_time: 0.0017 memory: 539 2022/08/26 15:31:09 - mmengine - INFO - Epoch(val) [60][110/500] eta: 0:00:08 time: 0.0209 data_time: 0.0017 memory: 497 2022/08/26 15:31:09 - mmengine - INFO - Epoch(val) [60][115/500] eta: 0:00:08 time: 0.0190 data_time: 0.0016 memory: 497 2022/08/26 15:31:09 - mmengine - INFO - Epoch(val) [60][120/500] eta: 0:00:07 time: 0.0200 data_time: 0.0015 memory: 530 2022/08/26 15:31:09 - mmengine - INFO - Epoch(val) [60][125/500] eta: 0:00:07 time: 0.0218 data_time: 0.0014 memory: 497 2022/08/26 15:31:10 - mmengine - INFO - Epoch(val) [60][130/500] eta: 0:00:07 time: 0.0201 data_time: 0.0015 memory: 539 2022/08/26 15:31:10 - mmengine - INFO - Epoch(val) [60][135/500] eta: 0:00:07 time: 0.0187 data_time: 0.0015 memory: 497 2022/08/26 15:31:10 - mmengine - INFO - Epoch(val) [60][140/500] eta: 0:00:07 time: 0.0212 data_time: 0.0015 memory: 480 2022/08/26 15:31:10 - mmengine - INFO - Epoch(val) [60][145/500] eta: 0:00:07 time: 0.0212 data_time: 0.0016 memory: 751 2022/08/26 15:31:10 - mmengine - INFO - Epoch(val) [60][150/500] eta: 0:00:07 time: 0.0207 data_time: 0.0027 memory: 464 2022/08/26 15:31:10 - mmengine - INFO - Epoch(val) [60][155/500] eta: 0:00:07 time: 0.0214 data_time: 0.0027 memory: 516 2022/08/26 15:31:10 - mmengine - INFO - Epoch(val) [60][160/500] eta: 0:00:06 time: 0.0202 data_time: 0.0018 memory: 539 2022/08/26 15:31:10 - mmengine - INFO - Epoch(val) [60][165/500] eta: 0:00:06 time: 0.0199 data_time: 0.0018 memory: 497 2022/08/26 15:31:10 - mmengine - INFO - Epoch(val) [60][170/500] eta: 0:00:07 time: 0.0212 data_time: 0.0017 memory: 514 2022/08/26 15:31:10 - mmengine - INFO - Epoch(val) [60][175/500] eta: 0:00:07 time: 0.0188 data_time: 0.0017 memory: 539 2022/08/26 15:31:11 - mmengine - INFO - Epoch(val) [60][180/500] eta: 0:00:05 time: 0.0169 data_time: 0.0016 memory: 539 2022/08/26 15:31:11 - mmengine - INFO - Epoch(val) [60][185/500] eta: 0:00:05 time: 0.0191 data_time: 0.0016 memory: 489 2022/08/26 15:31:11 - mmengine - INFO - Epoch(val) [60][190/500] eta: 0:00:05 time: 0.0188 data_time: 0.0015 memory: 516 2022/08/26 15:31:11 - mmengine - INFO - Epoch(val) [60][195/500] eta: 0:00:05 time: 0.0175 data_time: 0.0015 memory: 516 2022/08/26 15:31:11 - mmengine - INFO - Epoch(val) [60][200/500] eta: 0:00:05 time: 0.0173 data_time: 0.0015 memory: 516 2022/08/26 15:31:11 - mmengine - INFO - Epoch(val) [60][205/500] eta: 0:00:05 time: 0.0213 data_time: 0.0016 memory: 664 2022/08/26 15:31:11 - mmengine - INFO - Epoch(val) [60][210/500] eta: 0:00:06 time: 0.0212 data_time: 0.0016 memory: 497 2022/08/26 15:31:11 - mmengine - INFO - Epoch(val) [60][215/500] eta: 0:00:06 time: 0.0187 data_time: 0.0017 memory: 514 2022/08/26 15:31:11 - mmengine - INFO - Epoch(val) [60][220/500] eta: 0:00:05 time: 0.0190 data_time: 0.0018 memory: 572 2022/08/26 15:31:11 - mmengine - INFO - Epoch(val) [60][225/500] eta: 0:00:05 time: 0.0179 data_time: 0.0017 memory: 497 2022/08/26 15:31:12 - mmengine - INFO - Epoch(val) [60][230/500] eta: 0:00:08 time: 0.0307 data_time: 0.0016 memory: 507 2022/08/26 15:31:12 - mmengine - INFO - Epoch(val) [60][235/500] eta: 0:00:08 time: 0.0317 data_time: 0.0017 memory: 497 2022/08/26 15:31:12 - mmengine - INFO - Epoch(val) [60][240/500] eta: 0:00:04 time: 0.0182 data_time: 0.0015 memory: 497 2022/08/26 15:31:12 - mmengine - INFO - Epoch(val) [60][245/500] eta: 0:00:04 time: 0.0180 data_time: 0.0014 memory: 648 2022/08/26 15:31:12 - mmengine - INFO - Epoch(val) [60][250/500] eta: 0:00:04 time: 0.0187 data_time: 0.0015 memory: 497 2022/08/26 15:31:12 - mmengine - INFO - Epoch(val) [60][255/500] eta: 0:00:04 time: 0.0310 data_time: 0.0014 memory: 543 2022/08/26 15:31:12 - mmengine - INFO - Epoch(val) [60][260/500] eta: 0:00:07 time: 0.0303 data_time: 0.0014 memory: 516 2022/08/26 15:31:12 - mmengine - INFO - Epoch(val) [60][265/500] eta: 0:00:07 time: 0.0191 data_time: 0.0014 memory: 622 2022/08/26 15:31:12 - mmengine - INFO - Epoch(val) [60][270/500] eta: 0:00:04 time: 0.0195 data_time: 0.0015 memory: 505 2022/08/26 15:31:13 - mmengine - INFO - Epoch(val) [60][275/500] eta: 0:00:04 time: 0.0207 data_time: 0.0014 memory: 539 2022/08/26 15:31:13 - mmengine - INFO - Epoch(val) [60][280/500] eta: 0:00:04 time: 0.0185 data_time: 0.0014 memory: 473 2022/08/26 15:31:13 - mmengine - INFO - Epoch(val) [60][285/500] eta: 0:00:04 time: 0.0155 data_time: 0.0014 memory: 481 2022/08/26 15:31:13 - mmengine - INFO - Epoch(val) [60][290/500] eta: 0:00:03 time: 0.0170 data_time: 0.0014 memory: 464 2022/08/26 15:31:13 - mmengine - INFO - Epoch(val) [60][295/500] eta: 0:00:03 time: 0.0161 data_time: 0.0013 memory: 489 2022/08/26 15:31:13 - mmengine - INFO - Epoch(val) [60][300/500] eta: 0:00:03 time: 0.0161 data_time: 0.0014 memory: 497 2022/08/26 15:31:13 - mmengine - INFO - Epoch(val) [60][305/500] eta: 0:00:03 time: 0.0158 data_time: 0.0015 memory: 597 2022/08/26 15:31:13 - mmengine - INFO - Epoch(val) [60][310/500] eta: 0:00:03 time: 0.0162 data_time: 0.0015 memory: 606 2022/08/26 15:31:13 - mmengine - INFO - Epoch(val) [60][315/500] eta: 0:00:03 time: 0.0178 data_time: 0.0015 memory: 539 2022/08/26 15:31:13 - mmengine - INFO - Epoch(val) [60][320/500] eta: 0:00:03 time: 0.0186 data_time: 0.0014 memory: 499 2022/08/26 15:31:13 - mmengine - INFO - Epoch(val) [60][325/500] eta: 0:00:03 time: 0.0161 data_time: 0.0014 memory: 497 2022/08/26 15:31:13 - mmengine - INFO - Epoch(val) [60][330/500] eta: 0:00:02 time: 0.0151 data_time: 0.0013 memory: 497 2022/08/26 15:31:14 - mmengine - INFO - Epoch(val) [60][335/500] eta: 0:00:02 time: 0.0165 data_time: 0.0014 memory: 497 2022/08/26 15:31:14 - mmengine - INFO - Epoch(val) [60][340/500] eta: 0:00:02 time: 0.0183 data_time: 0.0014 memory: 522 2022/08/26 15:31:14 - mmengine - INFO - Epoch(val) [60][345/500] eta: 0:00:02 time: 0.0191 data_time: 0.0014 memory: 572 2022/08/26 15:31:14 - mmengine - INFO - Epoch(val) [60][350/500] eta: 0:00:02 time: 0.0190 data_time: 0.0015 memory: 499 2022/08/26 15:31:14 - mmengine - INFO - Epoch(val) [60][355/500] eta: 0:00:02 time: 0.0204 data_time: 0.0014 memory: 525 2022/08/26 15:31:14 - mmengine - INFO - Epoch(val) [60][360/500] eta: 0:00:02 time: 0.0182 data_time: 0.0013 memory: 525 2022/08/26 15:31:14 - mmengine - INFO - Epoch(val) [60][365/500] eta: 0:00:02 time: 0.0180 data_time: 0.0015 memory: 707 2022/08/26 15:31:14 - mmengine - INFO - Epoch(val) [60][370/500] eta: 0:00:02 time: 0.0175 data_time: 0.0016 memory: 539 2022/08/26 15:31:14 - mmengine - INFO - Epoch(val) [60][375/500] eta: 0:00:02 time: 0.0159 data_time: 0.0014 memory: 765 2022/08/26 15:31:14 - mmengine - INFO - Epoch(val) [60][380/500] eta: 0:00:02 time: 0.0185 data_time: 0.0014 memory: 572 2022/08/26 15:31:14 - mmengine - INFO - Epoch(val) [60][385/500] eta: 0:00:02 time: 0.0165 data_time: 0.0014 memory: 497 2022/08/26 15:31:15 - mmengine - INFO - Epoch(val) [60][390/500] eta: 0:00:01 time: 0.0168 data_time: 0.0014 memory: 539 2022/08/26 15:31:15 - mmengine - INFO - Epoch(val) [60][395/500] eta: 0:00:01 time: 0.0246 data_time: 0.0014 memory: 489 2022/08/26 15:31:15 - mmengine - INFO - Epoch(val) [60][400/500] eta: 0:00:02 time: 0.0248 data_time: 0.0014 memory: 497 2022/08/26 15:31:15 - mmengine - INFO - Epoch(val) [60][405/500] eta: 0:00:02 time: 0.0179 data_time: 0.0014 memory: 497 2022/08/26 15:31:15 - mmengine - INFO - Epoch(val) [60][410/500] eta: 0:00:01 time: 0.0174 data_time: 0.0014 memory: 497 2022/08/26 15:31:15 - mmengine - INFO - Epoch(val) [60][415/500] eta: 0:00:01 time: 0.0193 data_time: 0.0014 memory: 497 2022/08/26 15:31:15 - mmengine - INFO - Epoch(val) [60][420/500] eta: 0:00:01 time: 0.0202 data_time: 0.0014 memory: 497 2022/08/26 15:31:15 - mmengine - INFO - Epoch(val) [60][425/500] eta: 0:00:01 time: 0.0197 data_time: 0.0013 memory: 489 2022/08/26 15:31:15 - mmengine - INFO - Epoch(val) [60][430/500] eta: 0:00:01 time: 0.0174 data_time: 0.0013 memory: 516 2022/08/26 15:31:16 - mmengine - INFO - Epoch(val) [60][435/500] eta: 0:00:01 time: 0.0248 data_time: 0.0014 memory: 681 2022/08/26 15:31:16 - mmengine - INFO - Epoch(val) [60][440/500] eta: 0:00:01 time: 0.0261 data_time: 0.0015 memory: 539 2022/08/26 15:31:16 - mmengine - INFO - Epoch(val) [60][445/500] eta: 0:00:01 time: 0.0170 data_time: 0.0014 memory: 489 2022/08/26 15:31:16 - mmengine - INFO - Epoch(val) [60][450/500] eta: 0:00:00 time: 0.0152 data_time: 0.0013 memory: 507 2022/08/26 15:31:16 - mmengine - INFO - Epoch(val) [60][455/500] eta: 0:00:00 time: 0.0167 data_time: 0.0013 memory: 606 2022/08/26 15:31:16 - mmengine - INFO - Epoch(val) [60][460/500] eta: 0:00:00 time: 0.0169 data_time: 0.0014 memory: 499 2022/08/26 15:31:16 - mmengine - INFO - Epoch(val) [60][465/500] eta: 0:00:00 time: 0.0165 data_time: 0.0014 memory: 539 2022/08/26 15:31:16 - mmengine - INFO - Epoch(val) [60][470/500] eta: 0:00:00 time: 0.0154 data_time: 0.0013 memory: 516 2022/08/26 15:31:16 - mmengine - INFO - Epoch(val) [60][475/500] eta: 0:00:00 time: 0.0152 data_time: 0.0013 memory: 507 2022/08/26 15:31:16 - mmengine - INFO - Epoch(val) [60][480/500] eta: 0:00:00 time: 0.0150 data_time: 0.0013 memory: 464 2022/08/26 15:31:16 - mmengine - INFO - Epoch(val) [60][485/500] eta: 0:00:00 time: 0.0166 data_time: 0.0014 memory: 497 2022/08/26 15:31:16 - mmengine - INFO - Epoch(val) [60][490/500] eta: 0:00:00 time: 0.0171 data_time: 0.0014 memory: 497 2022/08/26 15:31:16 - mmengine - INFO - Epoch(val) [60][495/500] eta: 0:00:00 time: 0.0152 data_time: 0.0014 memory: 480 2022/08/26 15:31:17 - mmengine - INFO - Epoch(val) [60][500/500] eta: 0:00:00 time: 0.0157 data_time: 0.0013 memory: 522 2022/08/26 15:31:17 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 15:31:17 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7138, precision: 0.6311, hmean: 0.6699 2022/08/26 15:31:17 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7138, precision: 0.6311, hmean: 0.6699 2022/08/26 15:31:17 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7138, precision: 0.6311, hmean: 0.6699 2022/08/26 15:31:17 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7138, precision: 0.6311, hmean: 0.6699 2022/08/26 15:31:17 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7138, precision: 0.6311, hmean: 0.6699 2022/08/26 15:31:17 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7138, precision: 0.6360, hmean: 0.6727 2022/08/26 15:31:17 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7138, precision: 0.6576, hmean: 0.6845 2022/08/26 15:31:17 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7122, precision: 0.6887, hmean: 0.7002 2022/08/26 15:31:17 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7070, precision: 0.7242, hmean: 0.7155 2022/08/26 15:31:17 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7002, precision: 0.7554, hmean: 0.7268 2022/08/26 15:31:17 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.6878, precision: 0.7779, hmean: 0.7301 2022/08/26 15:31:17 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.6615, precision: 0.8059, hmean: 0.7266 2022/08/26 15:31:17 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6065, precision: 0.8367, hmean: 0.7032 2022/08/26 15:31:17 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.3047, precision: 0.8941, hmean: 0.4545 2022/08/26 15:31:17 - mmengine - INFO - Epoch(val) [60][500/500] icdar/precision: 0.7779 icdar/recall: 0.6878 icdar/hmean: 0.7301 2022/08/26 15:31:21 - mmengine - INFO - Epoch(train) [61][5/63] lr: 9.0938e-04 eta: 0:00:00 time: 0.7130 data_time: 0.1538 memory: 12277 loss_text: 0.1286 loss_kernel: 0.0559 loss_embedding: 0.0351 loss: 0.2196 2022/08/26 15:31:23 - mmengine - INFO - Epoch(train) [61][10/63] lr: 9.0938e-04 eta: 5:30:47 time: 0.6707 data_time: 0.1635 memory: 12277 loss_text: 0.1206 loss_kernel: 0.0581 loss_embedding: 0.0366 loss: 0.2153 2022/08/26 15:31:26 - mmengine - INFO - Epoch(train) [61][15/63] lr: 9.0938e-04 eta: 5:30:47 time: 0.5107 data_time: 0.0284 memory: 12277 loss_text: 0.1226 loss_kernel: 0.0598 loss_embedding: 0.0312 loss: 0.2135 2022/08/26 15:31:28 - mmengine - INFO - Epoch(train) [61][20/63] lr: 9.0938e-04 eta: 5:30:34 time: 0.4979 data_time: 0.0186 memory: 12277 loss_text: 0.1247 loss_kernel: 0.0571 loss_embedding: 0.0313 loss: 0.2130 2022/08/26 15:31:31 - mmengine - INFO - Epoch(train) [61][25/63] lr: 9.0938e-04 eta: 5:30:34 time: 0.5081 data_time: 0.0254 memory: 12277 loss_text: 0.1049 loss_kernel: 0.0486 loss_embedding: 0.0364 loss: 0.1900 2022/08/26 15:31:34 - mmengine - INFO - Epoch(train) [61][30/63] lr: 9.0938e-04 eta: 5:30:21 time: 0.5072 data_time: 0.0243 memory: 12277 loss_text: 0.1081 loss_kernel: 0.0470 loss_embedding: 0.0340 loss: 0.1892 2022/08/26 15:31:36 - mmengine - INFO - Epoch(train) [61][35/63] lr: 9.0938e-04 eta: 5:30:21 time: 0.5050 data_time: 0.0191 memory: 12277 loss_text: 0.1179 loss_kernel: 0.0515 loss_embedding: 0.0311 loss: 0.2006 2022/08/26 15:31:39 - mmengine - INFO - Epoch(train) [61][40/63] lr: 9.0938e-04 eta: 5:30:08 time: 0.5091 data_time: 0.0200 memory: 12277 loss_text: 0.1148 loss_kernel: 0.0545 loss_embedding: 0.0314 loss: 0.2007 2022/08/26 15:31:41 - mmengine - INFO - Epoch(train) [61][45/63] lr: 9.0938e-04 eta: 5:30:08 time: 0.5113 data_time: 0.0264 memory: 12277 loss_text: 0.1106 loss_kernel: 0.0544 loss_embedding: 0.0321 loss: 0.1972 2022/08/26 15:31:44 - mmengine - INFO - Epoch(train) [61][50/63] lr: 9.0938e-04 eta: 5:29:55 time: 0.5002 data_time: 0.0253 memory: 12277 loss_text: 0.1158 loss_kernel: 0.0557 loss_embedding: 0.0387 loss: 0.2102 2022/08/26 15:31:46 - mmengine - INFO - Epoch(train) [61][55/63] lr: 9.0938e-04 eta: 5:29:55 time: 0.4864 data_time: 0.0183 memory: 12277 loss_text: 0.1125 loss_kernel: 0.0529 loss_embedding: 0.0369 loss: 0.2023 2022/08/26 15:31:50 - mmengine - INFO - Epoch(train) [61][60/63] lr: 9.0938e-04 eta: 5:29:53 time: 0.6220 data_time: 0.0187 memory: 12277 loss_text: 0.1031 loss_kernel: 0.0488 loss_embedding: 0.0310 loss: 0.1830 2022/08/26 15:31:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:31:56 - mmengine - INFO - Epoch(train) [62][5/63] lr: 9.0786e-04 eta: 5:29:53 time: 0.8015 data_time: 0.1774 memory: 12277 loss_text: 0.1067 loss_kernel: 0.0520 loss_embedding: 0.0369 loss: 0.1956 2022/08/26 15:31:58 - mmengine - INFO - Epoch(train) [62][10/63] lr: 9.0786e-04 eta: 5:29:39 time: 0.6856 data_time: 0.1668 memory: 12277 loss_text: 0.1149 loss_kernel: 0.0573 loss_embedding: 0.0372 loss: 0.2094 2022/08/26 15:32:01 - mmengine - INFO - Epoch(train) [62][15/63] lr: 9.0786e-04 eta: 5:29:39 time: 0.5113 data_time: 0.0195 memory: 12277 loss_text: 0.1250 loss_kernel: 0.0557 loss_embedding: 0.0350 loss: 0.2158 2022/08/26 15:32:03 - mmengine - INFO - Epoch(train) [62][20/63] lr: 9.0786e-04 eta: 5:29:26 time: 0.5053 data_time: 0.0257 memory: 12277 loss_text: 0.1142 loss_kernel: 0.0566 loss_embedding: 0.0340 loss: 0.2047 2022/08/26 15:32:06 - mmengine - INFO - Epoch(train) [62][25/63] lr: 9.0786e-04 eta: 5:29:26 time: 0.4896 data_time: 0.0245 memory: 12277 loss_text: 0.1144 loss_kernel: 0.0586 loss_embedding: 0.0322 loss: 0.2053 2022/08/26 15:32:08 - mmengine - INFO - Epoch(train) [62][30/63] lr: 9.0786e-04 eta: 5:29:13 time: 0.4952 data_time: 0.0251 memory: 12277 loss_text: 0.1167 loss_kernel: 0.0528 loss_embedding: 0.0332 loss: 0.2027 2022/08/26 15:32:11 - mmengine - INFO - Epoch(train) [62][35/63] lr: 9.0786e-04 eta: 5:29:13 time: 0.4984 data_time: 0.0240 memory: 12277 loss_text: 0.1181 loss_kernel: 0.0493 loss_embedding: 0.0357 loss: 0.2031 2022/08/26 15:32:13 - mmengine - INFO - Epoch(train) [62][40/63] lr: 9.0786e-04 eta: 5:29:01 time: 0.5145 data_time: 0.0187 memory: 12277 loss_text: 0.1221 loss_kernel: 0.0498 loss_embedding: 0.0334 loss: 0.2053 2022/08/26 15:32:16 - mmengine - INFO - Epoch(train) [62][45/63] lr: 9.0786e-04 eta: 5:29:01 time: 0.5228 data_time: 0.0250 memory: 12277 loss_text: 0.1136 loss_kernel: 0.0501 loss_embedding: 0.0309 loss: 0.1946 2022/08/26 15:32:19 - mmengine - INFO - Epoch(train) [62][50/63] lr: 9.0786e-04 eta: 5:28:49 time: 0.5134 data_time: 0.0252 memory: 12277 loss_text: 0.1193 loss_kernel: 0.0550 loss_embedding: 0.0348 loss: 0.2090 2022/08/26 15:32:21 - mmengine - INFO - Epoch(train) [62][55/63] lr: 9.0786e-04 eta: 5:28:49 time: 0.5199 data_time: 0.0227 memory: 12277 loss_text: 0.1227 loss_kernel: 0.0548 loss_embedding: 0.0373 loss: 0.2148 2022/08/26 15:32:24 - mmengine - INFO - Epoch(train) [62][60/63] lr: 9.0786e-04 eta: 5:28:37 time: 0.5083 data_time: 0.0230 memory: 12277 loss_text: 0.1247 loss_kernel: 0.0548 loss_embedding: 0.0359 loss: 0.2154 2022/08/26 15:32:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:32:28 - mmengine - INFO - Epoch(train) [63][5/63] lr: 9.0634e-04 eta: 5:28:37 time: 0.5680 data_time: 0.1095 memory: 12277 loss_text: 0.1208 loss_kernel: 0.0496 loss_embedding: 0.0304 loss: 0.2008 2022/08/26 15:32:31 - mmengine - INFO - Epoch(train) [63][10/63] lr: 9.0634e-04 eta: 5:28:19 time: 0.6325 data_time: 0.1166 memory: 12277 loss_text: 0.1093 loss_kernel: 0.0494 loss_embedding: 0.0315 loss: 0.1903 2022/08/26 15:32:34 - mmengine - INFO - Epoch(train) [63][15/63] lr: 9.0634e-04 eta: 5:28:19 time: 0.5408 data_time: 0.0295 memory: 12277 loss_text: 0.0990 loss_kernel: 0.0491 loss_embedding: 0.0332 loss: 0.1812 2022/08/26 15:32:36 - mmengine - INFO - Epoch(train) [63][20/63] lr: 9.0634e-04 eta: 5:28:07 time: 0.5065 data_time: 0.0234 memory: 12277 loss_text: 0.1196 loss_kernel: 0.0556 loss_embedding: 0.0346 loss: 0.2098 2022/08/26 15:32:39 - mmengine - INFO - Epoch(train) [63][25/63] lr: 9.0634e-04 eta: 5:28:07 time: 0.5172 data_time: 0.0275 memory: 12277 loss_text: 0.1226 loss_kernel: 0.0561 loss_embedding: 0.0334 loss: 0.2121 2022/08/26 15:32:42 - mmengine - INFO - Epoch(train) [63][30/63] lr: 9.0634e-04 eta: 5:28:01 time: 0.5846 data_time: 0.0253 memory: 12277 loss_text: 0.0970 loss_kernel: 0.0482 loss_embedding: 0.0295 loss: 0.1747 2022/08/26 15:32:45 - mmengine - INFO - Epoch(train) [63][35/63] lr: 9.0634e-04 eta: 5:28:01 time: 0.6025 data_time: 0.0272 memory: 12277 loss_text: 0.1050 loss_kernel: 0.0492 loss_embedding: 0.0312 loss: 0.1853 2022/08/26 15:32:48 - mmengine - INFO - Epoch(train) [63][40/63] lr: 9.0634e-04 eta: 5:27:56 time: 0.5869 data_time: 0.0301 memory: 12277 loss_text: 0.1220 loss_kernel: 0.0503 loss_embedding: 0.0366 loss: 0.2088 2022/08/26 15:32:51 - mmengine - INFO - Epoch(train) [63][45/63] lr: 9.0634e-04 eta: 5:27:56 time: 0.5863 data_time: 0.0273 memory: 12277 loss_text: 0.1183 loss_kernel: 0.0508 loss_embedding: 0.0379 loss: 0.2071 2022/08/26 15:32:53 - mmengine - INFO - Epoch(train) [63][50/63] lr: 9.0634e-04 eta: 5:27:46 time: 0.5392 data_time: 0.0236 memory: 12277 loss_text: 0.1112 loss_kernel: 0.0509 loss_embedding: 0.0350 loss: 0.1971 2022/08/26 15:32:56 - mmengine - INFO - Epoch(train) [63][55/63] lr: 9.0634e-04 eta: 5:27:46 time: 0.5184 data_time: 0.0230 memory: 12277 loss_text: 0.1053 loss_kernel: 0.0494 loss_embedding: 0.0330 loss: 0.1877 2022/08/26 15:32:58 - mmengine - INFO - Epoch(train) [63][60/63] lr: 9.0634e-04 eta: 5:27:34 time: 0.5017 data_time: 0.0256 memory: 12277 loss_text: 0.1076 loss_kernel: 0.0516 loss_embedding: 0.0286 loss: 0.1878 2022/08/26 15:33:00 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:33:04 - mmengine - INFO - Epoch(train) [64][5/63] lr: 9.0482e-04 eta: 5:27:34 time: 0.5998 data_time: 0.1593 memory: 12277 loss_text: 0.1328 loss_kernel: 0.0627 loss_embedding: 0.0360 loss: 0.2315 2022/08/26 15:33:06 - mmengine - INFO - Epoch(train) [64][10/63] lr: 9.0482e-04 eta: 5:27:16 time: 0.6312 data_time: 0.1613 memory: 12277 loss_text: 0.1173 loss_kernel: 0.0538 loss_embedding: 0.0357 loss: 0.2068 2022/08/26 15:33:09 - mmengine - INFO - Epoch(train) [64][15/63] lr: 9.0482e-04 eta: 5:27:16 time: 0.5080 data_time: 0.0245 memory: 12277 loss_text: 0.1095 loss_kernel: 0.0491 loss_embedding: 0.0303 loss: 0.1888 2022/08/26 15:33:11 - mmengine - INFO - Epoch(train) [64][20/63] lr: 9.0482e-04 eta: 5:27:05 time: 0.5176 data_time: 0.0274 memory: 12277 loss_text: 0.1087 loss_kernel: 0.0490 loss_embedding: 0.0356 loss: 0.1933 2022/08/26 15:33:14 - mmengine - INFO - Epoch(train) [64][25/63] lr: 9.0482e-04 eta: 5:27:05 time: 0.5070 data_time: 0.0235 memory: 12277 loss_text: 0.1154 loss_kernel: 0.0552 loss_embedding: 0.0380 loss: 0.2086 2022/08/26 15:33:16 - mmengine - INFO - Epoch(train) [64][30/63] lr: 9.0482e-04 eta: 5:26:52 time: 0.5045 data_time: 0.0235 memory: 12277 loss_text: 0.1312 loss_kernel: 0.0553 loss_embedding: 0.0342 loss: 0.2207 2022/08/26 15:33:17 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:33:19 - mmengine - INFO - Epoch(train) [64][35/63] lr: 9.0482e-04 eta: 5:26:52 time: 0.5127 data_time: 0.0272 memory: 12277 loss_text: 0.1297 loss_kernel: 0.0497 loss_embedding: 0.0317 loss: 0.2112 2022/08/26 15:33:21 - mmengine - INFO - Epoch(train) [64][40/63] lr: 9.0482e-04 eta: 5:26:41 time: 0.5082 data_time: 0.0244 memory: 12277 loss_text: 0.1096 loss_kernel: 0.0485 loss_embedding: 0.0314 loss: 0.1895 2022/08/26 15:33:24 - mmengine - INFO - Epoch(train) [64][45/63] lr: 9.0482e-04 eta: 5:26:41 time: 0.5024 data_time: 0.0207 memory: 12277 loss_text: 0.1002 loss_kernel: 0.0476 loss_embedding: 0.0369 loss: 0.1848 2022/08/26 15:33:26 - mmengine - INFO - Epoch(train) [64][50/63] lr: 9.0482e-04 eta: 5:26:28 time: 0.5036 data_time: 0.0238 memory: 12277 loss_text: 0.1153 loss_kernel: 0.0497 loss_embedding: 0.0400 loss: 0.2050 2022/08/26 15:33:29 - mmengine - INFO - Epoch(train) [64][55/63] lr: 9.0482e-04 eta: 5:26:28 time: 0.5109 data_time: 0.0283 memory: 12277 loss_text: 0.1239 loss_kernel: 0.0511 loss_embedding: 0.0364 loss: 0.2114 2022/08/26 15:33:32 - mmengine - INFO - Epoch(train) [64][60/63] lr: 9.0482e-04 eta: 5:26:17 time: 0.5146 data_time: 0.0287 memory: 12277 loss_text: 0.1168 loss_kernel: 0.0506 loss_embedding: 0.0368 loss: 0.2042 2022/08/26 15:33:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:33:38 - mmengine - INFO - Epoch(train) [65][5/63] lr: 9.0330e-04 eta: 5:26:17 time: 0.7249 data_time: 0.1837 memory: 12277 loss_text: 0.1052 loss_kernel: 0.0530 loss_embedding: 0.0387 loss: 0.1968 2022/08/26 15:33:41 - mmengine - INFO - Epoch(train) [65][10/63] lr: 9.0330e-04 eta: 5:26:10 time: 0.7562 data_time: 0.1904 memory: 12277 loss_text: 0.1216 loss_kernel: 0.0553 loss_embedding: 0.0373 loss: 0.2142 2022/08/26 15:33:44 - mmengine - INFO - Epoch(train) [65][15/63] lr: 9.0330e-04 eta: 5:26:10 time: 0.6597 data_time: 0.0237 memory: 12277 loss_text: 0.1216 loss_kernel: 0.0520 loss_embedding: 0.0366 loss: 0.2102 2022/08/26 15:33:47 - mmengine - INFO - Epoch(train) [65][20/63] lr: 9.0330e-04 eta: 5:26:07 time: 0.6229 data_time: 0.0192 memory: 12277 loss_text: 0.1033 loss_kernel: 0.0509 loss_embedding: 0.0336 loss: 0.1879 2022/08/26 15:33:50 - mmengine - INFO - Epoch(train) [65][25/63] lr: 9.0330e-04 eta: 5:26:07 time: 0.5493 data_time: 0.0220 memory: 12277 loss_text: 0.1100 loss_kernel: 0.0562 loss_embedding: 0.0335 loss: 0.1997 2022/08/26 15:33:52 - mmengine - INFO - Epoch(train) [65][30/63] lr: 9.0330e-04 eta: 5:25:58 time: 0.5338 data_time: 0.0267 memory: 12277 loss_text: 0.1197 loss_kernel: 0.0605 loss_embedding: 0.0367 loss: 0.2168 2022/08/26 15:33:55 - mmengine - INFO - Epoch(train) [65][35/63] lr: 9.0330e-04 eta: 5:25:58 time: 0.4869 data_time: 0.0239 memory: 12277 loss_text: 0.1219 loss_kernel: 0.0620 loss_embedding: 0.0375 loss: 0.2213 2022/08/26 15:33:57 - mmengine - INFO - Epoch(train) [65][40/63] lr: 9.0330e-04 eta: 5:25:46 time: 0.5104 data_time: 0.0195 memory: 12277 loss_text: 0.1203 loss_kernel: 0.0578 loss_embedding: 0.0350 loss: 0.2131 2022/08/26 15:34:00 - mmengine - INFO - Epoch(train) [65][45/63] lr: 9.0330e-04 eta: 5:25:46 time: 0.5074 data_time: 0.0191 memory: 12277 loss_text: 0.1045 loss_kernel: 0.0491 loss_embedding: 0.0360 loss: 0.1897 2022/08/26 15:34:02 - mmengine - INFO - Epoch(train) [65][50/63] lr: 9.0330e-04 eta: 5:25:34 time: 0.5019 data_time: 0.0185 memory: 12277 loss_text: 0.0963 loss_kernel: 0.0465 loss_embedding: 0.0349 loss: 0.1776 2022/08/26 15:34:05 - mmengine - INFO - Epoch(train) [65][55/63] lr: 9.0330e-04 eta: 5:25:34 time: 0.5048 data_time: 0.0233 memory: 12277 loss_text: 0.1027 loss_kernel: 0.0475 loss_embedding: 0.0320 loss: 0.1822 2022/08/26 15:34:07 - mmengine - INFO - Epoch(train) [65][60/63] lr: 9.0330e-04 eta: 5:25:22 time: 0.4998 data_time: 0.0230 memory: 12277 loss_text: 0.1138 loss_kernel: 0.0487 loss_embedding: 0.0353 loss: 0.1978 2022/08/26 15:34:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:34:13 - mmengine - INFO - Epoch(train) [66][5/63] lr: 9.0178e-04 eta: 5:25:22 time: 0.6674 data_time: 0.1962 memory: 12277 loss_text: 0.1137 loss_kernel: 0.0499 loss_embedding: 0.0325 loss: 0.1962 2022/08/26 15:34:16 - mmengine - INFO - Epoch(train) [66][10/63] lr: 9.0178e-04 eta: 5:25:09 time: 0.6898 data_time: 0.2045 memory: 12277 loss_text: 0.1207 loss_kernel: 0.0533 loss_embedding: 0.0311 loss: 0.2051 2022/08/26 15:34:18 - mmengine - INFO - Epoch(train) [66][15/63] lr: 9.0178e-04 eta: 5:25:09 time: 0.5012 data_time: 0.0266 memory: 12277 loss_text: 0.1257 loss_kernel: 0.0544 loss_embedding: 0.0330 loss: 0.2130 2022/08/26 15:34:21 - mmengine - INFO - Epoch(train) [66][20/63] lr: 9.0178e-04 eta: 5:24:57 time: 0.5061 data_time: 0.0193 memory: 12277 loss_text: 0.1144 loss_kernel: 0.0519 loss_embedding: 0.0340 loss: 0.2003 2022/08/26 15:34:23 - mmengine - INFO - Epoch(train) [66][25/63] lr: 9.0178e-04 eta: 5:24:57 time: 0.5067 data_time: 0.0243 memory: 12277 loss_text: 0.1010 loss_kernel: 0.0518 loss_embedding: 0.0297 loss: 0.1825 2022/08/26 15:34:26 - mmengine - INFO - Epoch(train) [66][30/63] lr: 9.0178e-04 eta: 5:24:46 time: 0.5065 data_time: 0.0275 memory: 12277 loss_text: 0.1048 loss_kernel: 0.0538 loss_embedding: 0.0271 loss: 0.1857 2022/08/26 15:34:28 - mmengine - INFO - Epoch(train) [66][35/63] lr: 9.0178e-04 eta: 5:24:46 time: 0.5156 data_time: 0.0259 memory: 12277 loss_text: 0.1206 loss_kernel: 0.0565 loss_embedding: 0.0313 loss: 0.2083 2022/08/26 15:34:32 - mmengine - INFO - Epoch(train) [66][40/63] lr: 9.0178e-04 eta: 5:24:41 time: 0.5868 data_time: 0.0249 memory: 12277 loss_text: 0.1249 loss_kernel: 0.0557 loss_embedding: 0.0324 loss: 0.2131 2022/08/26 15:34:34 - mmengine - INFO - Epoch(train) [66][45/63] lr: 9.0178e-04 eta: 5:24:41 time: 0.6145 data_time: 0.0252 memory: 12277 loss_text: 0.1137 loss_kernel: 0.0519 loss_embedding: 0.0320 loss: 0.1976 2022/08/26 15:34:38 - mmengine - INFO - Epoch(train) [66][50/63] lr: 9.0178e-04 eta: 5:24:37 time: 0.6056 data_time: 0.0267 memory: 12277 loss_text: 0.1082 loss_kernel: 0.0492 loss_embedding: 0.0336 loss: 0.1909 2022/08/26 15:34:40 - mmengine - INFO - Epoch(train) [66][55/63] lr: 9.0178e-04 eta: 5:24:37 time: 0.6009 data_time: 0.0243 memory: 12277 loss_text: 0.1142 loss_kernel: 0.0517 loss_embedding: 0.0352 loss: 0.2012 2022/08/26 15:34:43 - mmengine - INFO - Epoch(train) [66][60/63] lr: 9.0178e-04 eta: 5:24:28 time: 0.5349 data_time: 0.0199 memory: 12277 loss_text: 0.1122 loss_kernel: 0.0521 loss_embedding: 0.0419 loss: 0.2062 2022/08/26 15:34:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:34:48 - mmengine - INFO - Epoch(train) [67][5/63] lr: 9.0026e-04 eta: 5:24:28 time: 0.5862 data_time: 0.1376 memory: 12277 loss_text: 0.1177 loss_kernel: 0.0541 loss_embedding: 0.0367 loss: 0.2085 2022/08/26 15:34:50 - mmengine - INFO - Epoch(train) [67][10/63] lr: 9.0026e-04 eta: 5:24:10 time: 0.6288 data_time: 0.1466 memory: 12277 loss_text: 0.1063 loss_kernel: 0.0520 loss_embedding: 0.0345 loss: 0.1928 2022/08/26 15:34:53 - mmengine - INFO - Epoch(train) [67][15/63] lr: 9.0026e-04 eta: 5:24:10 time: 0.5082 data_time: 0.0288 memory: 12277 loss_text: 0.0995 loss_kernel: 0.0505 loss_embedding: 0.0338 loss: 0.1837 2022/08/26 15:34:55 - mmengine - INFO - Epoch(train) [67][20/63] lr: 9.0026e-04 eta: 5:23:57 time: 0.4905 data_time: 0.0202 memory: 12277 loss_text: 0.0984 loss_kernel: 0.0497 loss_embedding: 0.0337 loss: 0.1818 2022/08/26 15:34:58 - mmengine - INFO - Epoch(train) [67][25/63] lr: 9.0026e-04 eta: 5:23:57 time: 0.4847 data_time: 0.0187 memory: 12277 loss_text: 0.0947 loss_kernel: 0.0481 loss_embedding: 0.0320 loss: 0.1748 2022/08/26 15:35:00 - mmengine - INFO - Epoch(train) [67][30/63] lr: 9.0026e-04 eta: 5:23:45 time: 0.4961 data_time: 0.0217 memory: 12277 loss_text: 0.1047 loss_kernel: 0.0514 loss_embedding: 0.0280 loss: 0.1841 2022/08/26 15:35:03 - mmengine - INFO - Epoch(train) [67][35/63] lr: 9.0026e-04 eta: 5:23:45 time: 0.5302 data_time: 0.0304 memory: 12277 loss_text: 0.1087 loss_kernel: 0.0516 loss_embedding: 0.0322 loss: 0.1926 2022/08/26 15:35:06 - mmengine - INFO - Epoch(train) [67][40/63] lr: 9.0026e-04 eta: 5:23:35 time: 0.5249 data_time: 0.0278 memory: 12277 loss_text: 0.1077 loss_kernel: 0.0490 loss_embedding: 0.0365 loss: 0.1932 2022/08/26 15:35:08 - mmengine - INFO - Epoch(train) [67][45/63] lr: 9.0026e-04 eta: 5:23:35 time: 0.5017 data_time: 0.0190 memory: 12277 loss_text: 0.1169 loss_kernel: 0.0509 loss_embedding: 0.0307 loss: 0.1985 2022/08/26 15:35:11 - mmengine - INFO - Epoch(train) [67][50/63] lr: 9.0026e-04 eta: 5:23:24 time: 0.5162 data_time: 0.0201 memory: 12277 loss_text: 0.1220 loss_kernel: 0.0522 loss_embedding: 0.0338 loss: 0.2079 2022/08/26 15:35:13 - mmengine - INFO - Epoch(train) [67][55/63] lr: 9.0026e-04 eta: 5:23:24 time: 0.5215 data_time: 0.0298 memory: 12277 loss_text: 0.1223 loss_kernel: 0.0533 loss_embedding: 0.0404 loss: 0.2161 2022/08/26 15:35:16 - mmengine - INFO - Epoch(train) [67][60/63] lr: 9.0026e-04 eta: 5:23:13 time: 0.5105 data_time: 0.0283 memory: 12277 loss_text: 0.1208 loss_kernel: 0.0563 loss_embedding: 0.0380 loss: 0.2152 2022/08/26 15:35:17 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:35:21 - mmengine - INFO - Epoch(train) [68][5/63] lr: 8.9874e-04 eta: 5:23:13 time: 0.6353 data_time: 0.1326 memory: 12277 loss_text: 0.1194 loss_kernel: 0.0550 loss_embedding: 0.0403 loss: 0.2147 2022/08/26 15:35:24 - mmengine - INFO - Epoch(train) [68][10/63] lr: 8.9874e-04 eta: 5:23:01 time: 0.6895 data_time: 0.1395 memory: 12277 loss_text: 0.1144 loss_kernel: 0.0505 loss_embedding: 0.0324 loss: 0.1973 2022/08/26 15:35:27 - mmengine - INFO - Epoch(train) [68][15/63] lr: 8.9874e-04 eta: 5:23:01 time: 0.6231 data_time: 0.0262 memory: 12277 loss_text: 0.1279 loss_kernel: 0.0541 loss_embedding: 0.0314 loss: 0.2135 2022/08/26 15:35:30 - mmengine - INFO - Epoch(train) [68][20/63] lr: 8.9874e-04 eta: 5:22:57 time: 0.6042 data_time: 0.0229 memory: 12277 loss_text: 0.1172 loss_kernel: 0.0500 loss_embedding: 0.0325 loss: 0.1997 2022/08/26 15:35:32 - mmengine - INFO - Epoch(train) [68][25/63] lr: 8.9874e-04 eta: 5:22:57 time: 0.5124 data_time: 0.0237 memory: 12277 loss_text: 0.1016 loss_kernel: 0.0468 loss_embedding: 0.0356 loss: 0.1839 2022/08/26 15:35:35 - mmengine - INFO - Epoch(train) [68][30/63] lr: 8.9874e-04 eta: 5:22:46 time: 0.5169 data_time: 0.0278 memory: 12277 loss_text: 0.1136 loss_kernel: 0.0522 loss_embedding: 0.0371 loss: 0.2028 2022/08/26 15:35:38 - mmengine - INFO - Epoch(train) [68][35/63] lr: 8.9874e-04 eta: 5:22:46 time: 0.5143 data_time: 0.0271 memory: 12277 loss_text: 0.1124 loss_kernel: 0.0518 loss_embedding: 0.0341 loss: 0.1983 2022/08/26 15:35:40 - mmengine - INFO - Epoch(train) [68][40/63] lr: 8.9874e-04 eta: 5:22:36 time: 0.5174 data_time: 0.0222 memory: 12277 loss_text: 0.1015 loss_kernel: 0.0485 loss_embedding: 0.0295 loss: 0.1796 2022/08/26 15:35:43 - mmengine - INFO - Epoch(train) [68][45/63] lr: 8.9874e-04 eta: 5:22:36 time: 0.5195 data_time: 0.0232 memory: 12277 loss_text: 0.1137 loss_kernel: 0.0519 loss_embedding: 0.0368 loss: 0.2024 2022/08/26 15:35:45 - mmengine - INFO - Epoch(train) [68][50/63] lr: 8.9874e-04 eta: 5:22:25 time: 0.5160 data_time: 0.0283 memory: 12277 loss_text: 0.1273 loss_kernel: 0.0543 loss_embedding: 0.0392 loss: 0.2208 2022/08/26 15:35:48 - mmengine - INFO - Epoch(train) [68][55/63] lr: 8.9874e-04 eta: 5:22:25 time: 0.5197 data_time: 0.0274 memory: 12277 loss_text: 0.1266 loss_kernel: 0.0548 loss_embedding: 0.0343 loss: 0.2157 2022/08/26 15:35:51 - mmengine - INFO - Epoch(train) [68][60/63] lr: 8.9874e-04 eta: 5:22:15 time: 0.5128 data_time: 0.0208 memory: 12277 loss_text: 0.1134 loss_kernel: 0.0531 loss_embedding: 0.0369 loss: 0.2034 2022/08/26 15:35:52 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:35:56 - mmengine - INFO - Epoch(train) [69][5/63] lr: 8.9722e-04 eta: 5:22:15 time: 0.5879 data_time: 0.1360 memory: 12277 loss_text: 0.1070 loss_kernel: 0.0495 loss_embedding: 0.0400 loss: 0.1964 2022/08/26 15:35:58 - mmengine - INFO - Epoch(train) [69][10/63] lr: 8.9722e-04 eta: 5:21:57 time: 0.6202 data_time: 0.1471 memory: 12277 loss_text: 0.1202 loss_kernel: 0.0588 loss_embedding: 0.0344 loss: 0.2135 2022/08/26 15:36:01 - mmengine - INFO - Epoch(train) [69][15/63] lr: 8.9722e-04 eta: 5:21:57 time: 0.5087 data_time: 0.0279 memory: 12277 loss_text: 0.1206 loss_kernel: 0.0576 loss_embedding: 0.0342 loss: 0.2124 2022/08/26 15:36:03 - mmengine - INFO - Epoch(train) [69][20/63] lr: 8.9722e-04 eta: 5:21:45 time: 0.4920 data_time: 0.0203 memory: 12277 loss_text: 0.1051 loss_kernel: 0.0456 loss_embedding: 0.0330 loss: 0.1837 2022/08/26 15:36:05 - mmengine - INFO - Epoch(train) [69][25/63] lr: 8.9722e-04 eta: 5:21:45 time: 0.4827 data_time: 0.0206 memory: 12277 loss_text: 0.1052 loss_kernel: 0.0528 loss_embedding: 0.0314 loss: 0.1894 2022/08/26 15:36:08 - mmengine - INFO - Epoch(train) [69][30/63] lr: 8.9722e-04 eta: 5:21:32 time: 0.4927 data_time: 0.0189 memory: 12277 loss_text: 0.1157 loss_kernel: 0.0572 loss_embedding: 0.0313 loss: 0.2043 2022/08/26 15:36:10 - mmengine - INFO - Epoch(train) [69][35/63] lr: 8.9722e-04 eta: 5:21:32 time: 0.5046 data_time: 0.0233 memory: 12277 loss_text: 0.1156 loss_kernel: 0.0535 loss_embedding: 0.0303 loss: 0.1994 2022/08/26 15:36:14 - mmengine - INFO - Epoch(train) [69][40/63] lr: 8.9722e-04 eta: 5:21:30 time: 0.6183 data_time: 0.0256 memory: 12277 loss_text: 0.1104 loss_kernel: 0.0515 loss_embedding: 0.0322 loss: 0.1941 2022/08/26 15:36:17 - mmengine - INFO - Epoch(train) [69][45/63] lr: 8.9722e-04 eta: 5:21:30 time: 0.6573 data_time: 0.0208 memory: 12277 loss_text: 0.1132 loss_kernel: 0.0516 loss_embedding: 0.0374 loss: 0.2022 2022/08/26 15:36:20 - mmengine - INFO - Epoch(train) [69][50/63] lr: 8.9722e-04 eta: 5:21:27 time: 0.6076 data_time: 0.0251 memory: 12277 loss_text: 0.1060 loss_kernel: 0.0510 loss_embedding: 0.0371 loss: 0.1941 2022/08/26 15:36:23 - mmengine - INFO - Epoch(train) [69][55/63] lr: 8.9722e-04 eta: 5:21:27 time: 0.5802 data_time: 0.0303 memory: 12277 loss_text: 0.1028 loss_kernel: 0.0502 loss_embedding: 0.0387 loss: 0.1917 2022/08/26 15:36:25 - mmengine - INFO - Epoch(train) [69][60/63] lr: 8.9722e-04 eta: 5:21:17 time: 0.5316 data_time: 0.0249 memory: 12277 loss_text: 0.1102 loss_kernel: 0.0535 loss_embedding: 0.0404 loss: 0.2041 2022/08/26 15:36:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:36:30 - mmengine - INFO - Epoch(train) [70][5/63] lr: 8.9570e-04 eta: 5:21:17 time: 0.5859 data_time: 0.1241 memory: 12277 loss_text: 0.1003 loss_kernel: 0.0502 loss_embedding: 0.0356 loss: 0.1862 2022/08/26 15:36:33 - mmengine - INFO - Epoch(train) [70][10/63] lr: 8.9570e-04 eta: 5:20:59 time: 0.6121 data_time: 0.1375 memory: 12277 loss_text: 0.0989 loss_kernel: 0.0509 loss_embedding: 0.0348 loss: 0.1846 2022/08/26 15:36:35 - mmengine - INFO - Epoch(train) [70][15/63] lr: 8.9570e-04 eta: 5:20:59 time: 0.5131 data_time: 0.0354 memory: 12277 loss_text: 0.1102 loss_kernel: 0.0561 loss_embedding: 0.0346 loss: 0.2010 2022/08/26 15:36:38 - mmengine - INFO - Epoch(train) [70][20/63] lr: 8.9570e-04 eta: 5:20:49 time: 0.5099 data_time: 0.0219 memory: 12277 loss_text: 0.1186 loss_kernel: 0.0548 loss_embedding: 0.0369 loss: 0.2102 2022/08/26 15:36:41 - mmengine - INFO - Epoch(train) [70][25/63] lr: 8.9570e-04 eta: 5:20:49 time: 0.5291 data_time: 0.0227 memory: 12277 loss_text: 0.1113 loss_kernel: 0.0514 loss_embedding: 0.0375 loss: 0.2002 2022/08/26 15:36:43 - mmengine - INFO - Epoch(train) [70][30/63] lr: 8.9570e-04 eta: 5:20:39 time: 0.5254 data_time: 0.0297 memory: 12277 loss_text: 0.1127 loss_kernel: 0.0536 loss_embedding: 0.0363 loss: 0.2026 2022/08/26 15:36:46 - mmengine - INFO - Epoch(train) [70][35/63] lr: 8.9570e-04 eta: 5:20:39 time: 0.5106 data_time: 0.0285 memory: 12277 loss_text: 0.1315 loss_kernel: 0.0570 loss_embedding: 0.0336 loss: 0.2220 2022/08/26 15:36:48 - mmengine - INFO - Epoch(train) [70][40/63] lr: 8.9570e-04 eta: 5:20:27 time: 0.4977 data_time: 0.0209 memory: 12277 loss_text: 0.1255 loss_kernel: 0.0556 loss_embedding: 0.0285 loss: 0.2097 2022/08/26 15:36:51 - mmengine - INFO - Epoch(train) [70][45/63] lr: 8.9570e-04 eta: 5:20:27 time: 0.4904 data_time: 0.0189 memory: 12277 loss_text: 0.0996 loss_kernel: 0.0491 loss_embedding: 0.0269 loss: 0.1756 2022/08/26 15:36:53 - mmengine - INFO - Epoch(train) [70][50/63] lr: 8.9570e-04 eta: 5:20:16 time: 0.4983 data_time: 0.0210 memory: 12277 loss_text: 0.1058 loss_kernel: 0.0493 loss_embedding: 0.0278 loss: 0.1828 2022/08/26 15:36:56 - mmengine - INFO - Epoch(train) [70][55/63] lr: 8.9570e-04 eta: 5:20:16 time: 0.5193 data_time: 0.0310 memory: 12277 loss_text: 0.1224 loss_kernel: 0.0541 loss_embedding: 0.0345 loss: 0.2109 2022/08/26 15:36:59 - mmengine - INFO - Epoch(train) [70][60/63] lr: 8.9570e-04 eta: 5:20:07 time: 0.5386 data_time: 0.0288 memory: 12277 loss_text: 0.1187 loss_kernel: 0.0535 loss_embedding: 0.0394 loss: 0.2116 2022/08/26 15:37:00 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:37:03 - mmengine - INFO - Epoch(train) [71][5/63] lr: 8.9418e-04 eta: 5:20:07 time: 0.5826 data_time: 0.1237 memory: 12277 loss_text: 0.1195 loss_kernel: 0.0516 loss_embedding: 0.0293 loss: 0.2004 2022/08/26 15:37:07 - mmengine - INFO - Epoch(train) [71][10/63] lr: 8.9418e-04 eta: 5:19:56 time: 0.7058 data_time: 0.1354 memory: 12277 loss_text: 0.1147 loss_kernel: 0.0505 loss_embedding: 0.0298 loss: 0.1950 2022/08/26 15:37:10 - mmengine - INFO - Epoch(train) [71][15/63] lr: 8.9418e-04 eta: 5:19:56 time: 0.6501 data_time: 0.0318 memory: 12277 loss_text: 0.1008 loss_kernel: 0.0460 loss_embedding: 0.0308 loss: 0.1776 2022/08/26 15:37:13 - mmengine - INFO - Epoch(train) [71][20/63] lr: 8.9418e-04 eta: 5:19:53 time: 0.5990 data_time: 0.0251 memory: 12277 loss_text: 0.1015 loss_kernel: 0.0513 loss_embedding: 0.0308 loss: 0.1836 2022/08/26 15:37:16 - mmengine - INFO - Epoch(train) [71][25/63] lr: 8.9418e-04 eta: 5:19:53 time: 0.5878 data_time: 0.0279 memory: 12277 loss_text: 0.1112 loss_kernel: 0.0533 loss_embedding: 0.0338 loss: 0.1982 2022/08/26 15:37:18 - mmengine - INFO - Epoch(train) [71][30/63] lr: 8.9418e-04 eta: 5:19:44 time: 0.5420 data_time: 0.0257 memory: 12277 loss_text: 0.1018 loss_kernel: 0.0482 loss_embedding: 0.0329 loss: 0.1829 2022/08/26 15:37:21 - mmengine - INFO - Epoch(train) [71][35/63] lr: 8.9418e-04 eta: 5:19:44 time: 0.5106 data_time: 0.0227 memory: 12277 loss_text: 0.1071 loss_kernel: 0.0510 loss_embedding: 0.0308 loss: 0.1889 2022/08/26 15:37:23 - mmengine - INFO - Epoch(train) [71][40/63] lr: 8.9418e-04 eta: 5:19:34 time: 0.5154 data_time: 0.0223 memory: 12277 loss_text: 0.1247 loss_kernel: 0.0565 loss_embedding: 0.0330 loss: 0.2143 2022/08/26 15:37:26 - mmengine - INFO - Epoch(train) [71][45/63] lr: 8.9418e-04 eta: 5:19:34 time: 0.5194 data_time: 0.0241 memory: 12277 loss_text: 0.1160 loss_kernel: 0.0526 loss_embedding: 0.0343 loss: 0.2029 2022/08/26 15:37:28 - mmengine - INFO - Epoch(train) [71][50/63] lr: 8.9418e-04 eta: 5:19:23 time: 0.5024 data_time: 0.0261 memory: 12277 loss_text: 0.1002 loss_kernel: 0.0479 loss_embedding: 0.0320 loss: 0.1801 2022/08/26 15:37:31 - mmengine - INFO - Epoch(train) [71][55/63] lr: 8.9418e-04 eta: 5:19:23 time: 0.5381 data_time: 0.0275 memory: 12277 loss_text: 0.0978 loss_kernel: 0.0477 loss_embedding: 0.0315 loss: 0.1770 2022/08/26 15:37:34 - mmengine - INFO - Epoch(train) [71][60/63] lr: 8.9418e-04 eta: 5:19:14 time: 0.5375 data_time: 0.0230 memory: 12277 loss_text: 0.0995 loss_kernel: 0.0468 loss_embedding: 0.0333 loss: 0.1797 2022/08/26 15:37:35 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:37:39 - mmengine - INFO - Epoch(train) [72][5/63] lr: 8.9266e-04 eta: 5:19:14 time: 0.5890 data_time: 0.1402 memory: 12277 loss_text: 0.0963 loss_kernel: 0.0480 loss_embedding: 0.0321 loss: 0.1763 2022/08/26 15:37:41 - mmengine - INFO - Epoch(train) [72][10/63] lr: 8.9266e-04 eta: 5:18:57 time: 0.6098 data_time: 0.1449 memory: 12277 loss_text: 0.1047 loss_kernel: 0.0488 loss_embedding: 0.0290 loss: 0.1826 2022/08/26 15:37:44 - mmengine - INFO - Epoch(train) [72][15/63] lr: 8.9266e-04 eta: 5:18:57 time: 0.4841 data_time: 0.0229 memory: 12277 loss_text: 0.1057 loss_kernel: 0.0466 loss_embedding: 0.0275 loss: 0.1798 2022/08/26 15:37:46 - mmengine - INFO - Epoch(train) [72][20/63] lr: 8.9266e-04 eta: 5:18:45 time: 0.4997 data_time: 0.0231 memory: 12277 loss_text: 0.0991 loss_kernel: 0.0453 loss_embedding: 0.0326 loss: 0.1769 2022/08/26 15:37:49 - mmengine - INFO - Epoch(train) [72][25/63] lr: 8.9266e-04 eta: 5:18:45 time: 0.5057 data_time: 0.0243 memory: 12277 loss_text: 0.1108 loss_kernel: 0.0539 loss_embedding: 0.0361 loss: 0.2008 2022/08/26 15:37:51 - mmengine - INFO - Epoch(train) [72][30/63] lr: 8.9266e-04 eta: 5:18:36 time: 0.5203 data_time: 0.0234 memory: 12277 loss_text: 0.1231 loss_kernel: 0.0598 loss_embedding: 0.0348 loss: 0.2177 2022/08/26 15:37:54 - mmengine - INFO - Epoch(train) [72][35/63] lr: 8.9266e-04 eta: 5:18:36 time: 0.5261 data_time: 0.0271 memory: 12277 loss_text: 0.1132 loss_kernel: 0.0549 loss_embedding: 0.0335 loss: 0.2017 2022/08/26 15:37:56 - mmengine - INFO - Epoch(train) [72][40/63] lr: 8.9266e-04 eta: 5:18:24 time: 0.4923 data_time: 0.0234 memory: 12277 loss_text: 0.1019 loss_kernel: 0.0521 loss_embedding: 0.0337 loss: 0.1878 2022/08/26 15:37:59 - mmengine - INFO - Epoch(train) [72][45/63] lr: 8.9266e-04 eta: 5:18:24 time: 0.4965 data_time: 0.0225 memory: 12277 loss_text: 0.0991 loss_kernel: 0.0497 loss_embedding: 0.0343 loss: 0.1831 2022/08/26 15:38:03 - mmengine - INFO - Epoch(train) [72][50/63] lr: 8.9266e-04 eta: 5:18:24 time: 0.6507 data_time: 0.0281 memory: 12277 loss_text: 0.1063 loss_kernel: 0.0533 loss_embedding: 0.0311 loss: 0.1908 2022/08/26 15:38:05 - mmengine - INFO - Epoch(train) [72][55/63] lr: 8.9266e-04 eta: 5:18:24 time: 0.6558 data_time: 0.0320 memory: 12277 loss_text: 0.1079 loss_kernel: 0.0550 loss_embedding: 0.0285 loss: 0.1914 2022/08/26 15:38:09 - mmengine - INFO - Epoch(train) [72][60/63] lr: 8.9266e-04 eta: 5:18:21 time: 0.6097 data_time: 0.0266 memory: 12277 loss_text: 0.1042 loss_kernel: 0.0512 loss_embedding: 0.0323 loss: 0.1877 2022/08/26 15:38:11 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:38:15 - mmengine - INFO - Epoch(train) [73][5/63] lr: 8.9114e-04 eta: 5:18:21 time: 0.7419 data_time: 0.1657 memory: 12277 loss_text: 0.1324 loss_kernel: 0.0569 loss_embedding: 0.0359 loss: 0.2251 2022/08/26 15:38:17 - mmengine - INFO - Epoch(train) [73][10/63] lr: 8.9114e-04 eta: 5:18:09 time: 0.6846 data_time: 0.1652 memory: 12277 loss_text: 0.1226 loss_kernel: 0.0549 loss_embedding: 0.0367 loss: 0.2141 2022/08/26 15:38:20 - mmengine - INFO - Epoch(train) [73][15/63] lr: 8.9114e-04 eta: 5:18:09 time: 0.5442 data_time: 0.0275 memory: 12277 loss_text: 0.0996 loss_kernel: 0.0487 loss_embedding: 0.0351 loss: 0.1834 2022/08/26 15:38:23 - mmengine - INFO - Epoch(train) [73][20/63] lr: 8.9114e-04 eta: 5:18:01 time: 0.5467 data_time: 0.0274 memory: 12277 loss_text: 0.0921 loss_kernel: 0.0471 loss_embedding: 0.0304 loss: 0.1697 2022/08/26 15:38:25 - mmengine - INFO - Epoch(train) [73][25/63] lr: 8.9114e-04 eta: 5:18:01 time: 0.5119 data_time: 0.0270 memory: 12277 loss_text: 0.0984 loss_kernel: 0.0498 loss_embedding: 0.0296 loss: 0.1778 2022/08/26 15:38:28 - mmengine - INFO - Epoch(train) [73][30/63] lr: 8.9114e-04 eta: 5:17:50 time: 0.5024 data_time: 0.0273 memory: 12277 loss_text: 0.1169 loss_kernel: 0.0538 loss_embedding: 0.0311 loss: 0.2019 2022/08/26 15:38:31 - mmengine - INFO - Epoch(train) [73][35/63] lr: 8.9114e-04 eta: 5:17:50 time: 0.5220 data_time: 0.0266 memory: 12277 loss_text: 0.1145 loss_kernel: 0.0517 loss_embedding: 0.0326 loss: 0.1988 2022/08/26 15:38:33 - mmengine - INFO - Epoch(train) [73][40/63] lr: 8.9114e-04 eta: 5:17:40 time: 0.5154 data_time: 0.0250 memory: 12277 loss_text: 0.1025 loss_kernel: 0.0523 loss_embedding: 0.0330 loss: 0.1878 2022/08/26 15:38:36 - mmengine - INFO - Epoch(train) [73][45/63] lr: 8.9114e-04 eta: 5:17:40 time: 0.4943 data_time: 0.0217 memory: 12277 loss_text: 0.1099 loss_kernel: 0.0556 loss_embedding: 0.0309 loss: 0.1964 2022/08/26 15:38:38 - mmengine - INFO - Epoch(train) [73][50/63] lr: 8.9114e-04 eta: 5:17:29 time: 0.4962 data_time: 0.0237 memory: 12277 loss_text: 0.1140 loss_kernel: 0.0576 loss_embedding: 0.0276 loss: 0.1991 2022/08/26 15:38:41 - mmengine - INFO - Epoch(train) [73][55/63] lr: 8.9114e-04 eta: 5:17:29 time: 0.4990 data_time: 0.0279 memory: 12277 loss_text: 0.0993 loss_kernel: 0.0536 loss_embedding: 0.0271 loss: 0.1800 2022/08/26 15:38:43 - mmengine - INFO - Epoch(train) [73][60/63] lr: 8.9114e-04 eta: 5:17:17 time: 0.4904 data_time: 0.0236 memory: 12277 loss_text: 0.0967 loss_kernel: 0.0507 loss_embedding: 0.0287 loss: 0.1760 2022/08/26 15:38:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:38:48 - mmengine - INFO - Epoch(train) [74][5/63] lr: 8.8962e-04 eta: 5:17:17 time: 0.6021 data_time: 0.1438 memory: 12277 loss_text: 0.1282 loss_kernel: 0.0628 loss_embedding: 0.0318 loss: 0.2228 2022/08/26 15:38:51 - mmengine - INFO - Epoch(train) [74][10/63] lr: 8.8962e-04 eta: 5:17:03 time: 0.6559 data_time: 0.1538 memory: 12277 loss_text: 0.1266 loss_kernel: 0.0557 loss_embedding: 0.0348 loss: 0.2171 2022/08/26 15:38:53 - mmengine - INFO - Epoch(train) [74][15/63] lr: 8.8962e-04 eta: 5:17:03 time: 0.5349 data_time: 0.0295 memory: 12277 loss_text: 0.1121 loss_kernel: 0.0513 loss_embedding: 0.0318 loss: 0.1953 2022/08/26 15:38:56 - mmengine - INFO - Epoch(train) [74][20/63] lr: 8.8962e-04 eta: 5:16:53 time: 0.5158 data_time: 0.0218 memory: 12277 loss_text: 0.1016 loss_kernel: 0.0482 loss_embedding: 0.0289 loss: 0.1787 2022/08/26 15:38:59 - mmengine - INFO - Epoch(train) [74][25/63] lr: 8.8962e-04 eta: 5:16:53 time: 0.5202 data_time: 0.0221 memory: 12277 loss_text: 0.0997 loss_kernel: 0.0509 loss_embedding: 0.0260 loss: 0.1767 2022/08/26 15:39:02 - mmengine - INFO - Epoch(train) [74][30/63] lr: 8.8962e-04 eta: 5:16:52 time: 0.6363 data_time: 0.0276 memory: 12277 loss_text: 0.1037 loss_kernel: 0.0536 loss_embedding: 0.0276 loss: 0.1849 2022/08/26 15:39:05 - mmengine - INFO - Epoch(train) [74][35/63] lr: 8.8962e-04 eta: 5:16:52 time: 0.6303 data_time: 0.0300 memory: 12277 loss_text: 0.1085 loss_kernel: 0.0503 loss_embedding: 0.0304 loss: 0.1891 2022/08/26 15:39:09 - mmengine - INFO - Epoch(train) [74][40/63] lr: 8.8962e-04 eta: 5:16:50 time: 0.6313 data_time: 0.0244 memory: 12277 loss_text: 0.1001 loss_kernel: 0.0464 loss_embedding: 0.0307 loss: 0.1773 2022/08/26 15:39:11 - mmengine - INFO - Epoch(train) [74][45/63] lr: 8.8962e-04 eta: 5:16:50 time: 0.6440 data_time: 0.0288 memory: 12277 loss_text: 0.1067 loss_kernel: 0.0505 loss_embedding: 0.0331 loss: 0.1903 2022/08/26 15:39:14 - mmengine - INFO - Epoch(train) [74][50/63] lr: 8.8962e-04 eta: 5:16:41 time: 0.5183 data_time: 0.0268 memory: 12277 loss_text: 0.1137 loss_kernel: 0.0518 loss_embedding: 0.0304 loss: 0.1960 2022/08/26 15:39:16 - mmengine - INFO - Epoch(train) [74][55/63] lr: 8.8962e-04 eta: 5:16:41 time: 0.4940 data_time: 0.0242 memory: 12277 loss_text: 0.0982 loss_kernel: 0.0470 loss_embedding: 0.0264 loss: 0.1716 2022/08/26 15:39:19 - mmengine - INFO - Epoch(train) [74][60/63] lr: 8.8962e-04 eta: 5:16:29 time: 0.4906 data_time: 0.0245 memory: 12277 loss_text: 0.0943 loss_kernel: 0.0500 loss_embedding: 0.0285 loss: 0.1729 2022/08/26 15:39:20 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:39:24 - mmengine - INFO - Epoch(train) [75][5/63] lr: 8.8809e-04 eta: 5:16:29 time: 0.5858 data_time: 0.1315 memory: 12277 loss_text: 0.1018 loss_kernel: 0.0534 loss_embedding: 0.0282 loss: 0.1834 2022/08/26 15:39:26 - mmengine - INFO - Epoch(train) [75][10/63] lr: 8.8809e-04 eta: 5:16:11 time: 0.5970 data_time: 0.1300 memory: 12277 loss_text: 0.1004 loss_kernel: 0.0499 loss_embedding: 0.0296 loss: 0.1799 2022/08/26 15:39:29 - mmengine - INFO - Epoch(train) [75][15/63] lr: 8.8809e-04 eta: 5:16:11 time: 0.5025 data_time: 0.0235 memory: 12277 loss_text: 0.0995 loss_kernel: 0.0475 loss_embedding: 0.0299 loss: 0.1769 2022/08/26 15:39:31 - mmengine - INFO - Epoch(train) [75][20/63] lr: 8.8809e-04 eta: 5:16:03 time: 0.5324 data_time: 0.0258 memory: 12277 loss_text: 0.0921 loss_kernel: 0.0460 loss_embedding: 0.0300 loss: 0.1680 2022/08/26 15:39:34 - mmengine - INFO - Epoch(train) [75][25/63] lr: 8.8809e-04 eta: 5:16:03 time: 0.5300 data_time: 0.0289 memory: 12277 loss_text: 0.0926 loss_kernel: 0.0495 loss_embedding: 0.0315 loss: 0.1736 2022/08/26 15:39:36 - mmengine - INFO - Epoch(train) [75][30/63] lr: 8.8809e-04 eta: 5:15:53 time: 0.5113 data_time: 0.0257 memory: 12277 loss_text: 0.1028 loss_kernel: 0.0510 loss_embedding: 0.0327 loss: 0.1865 2022/08/26 15:39:39 - mmengine - INFO - Epoch(train) [75][35/63] lr: 8.8809e-04 eta: 5:15:53 time: 0.4919 data_time: 0.0191 memory: 12277 loss_text: 0.0971 loss_kernel: 0.0469 loss_embedding: 0.0297 loss: 0.1738 2022/08/26 15:39:41 - mmengine - INFO - Epoch(train) [75][40/63] lr: 8.8809e-04 eta: 5:15:40 time: 0.4822 data_time: 0.0206 memory: 12277 loss_text: 0.0856 loss_kernel: 0.0455 loss_embedding: 0.0251 loss: 0.1562 2022/08/26 15:39:44 - mmengine - INFO - Epoch(train) [75][45/63] lr: 8.8809e-04 eta: 5:15:40 time: 0.4826 data_time: 0.0202 memory: 12277 loss_text: 0.0913 loss_kernel: 0.0471 loss_embedding: 0.0230 loss: 0.1613 2022/08/26 15:39:46 - mmengine - INFO - Epoch(train) [75][50/63] lr: 8.8809e-04 eta: 5:15:29 time: 0.4963 data_time: 0.0257 memory: 12277 loss_text: 0.0961 loss_kernel: 0.0485 loss_embedding: 0.0276 loss: 0.1722 2022/08/26 15:39:49 - mmengine - INFO - Epoch(train) [75][55/63] lr: 8.8809e-04 eta: 5:15:29 time: 0.5003 data_time: 0.0262 memory: 12277 loss_text: 0.1019 loss_kernel: 0.0513 loss_embedding: 0.0290 loss: 0.1823 2022/08/26 15:39:51 - mmengine - INFO - Epoch(train) [75][60/63] lr: 8.8809e-04 eta: 5:15:20 time: 0.5176 data_time: 0.0205 memory: 12277 loss_text: 0.1177 loss_kernel: 0.0542 loss_embedding: 0.0326 loss: 0.2046 2022/08/26 15:39:53 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:39:56 - mmengine - INFO - Epoch(train) [76][5/63] lr: 8.8657e-04 eta: 5:15:20 time: 0.5848 data_time: 0.1218 memory: 12277 loss_text: 0.1123 loss_kernel: 0.0539 loss_embedding: 0.0315 loss: 0.1978 2022/08/26 15:40:00 - mmengine - INFO - Epoch(train) [76][10/63] lr: 8.8657e-04 eta: 5:15:13 time: 0.7451 data_time: 0.1432 memory: 12277 loss_text: 0.0955 loss_kernel: 0.0519 loss_embedding: 0.0257 loss: 0.1731 2022/08/26 15:40:03 - mmengine - INFO - Epoch(train) [76][15/63] lr: 8.8657e-04 eta: 5:15:13 time: 0.6418 data_time: 0.0420 memory: 12277 loss_text: 0.1072 loss_kernel: 0.0526 loss_embedding: 0.0280 loss: 0.1878 2022/08/26 15:40:06 - mmengine - INFO - Epoch(train) [76][20/63] lr: 8.8657e-04 eta: 5:15:08 time: 0.5917 data_time: 0.0229 memory: 12277 loss_text: 0.1146 loss_kernel: 0.0535 loss_embedding: 0.0309 loss: 0.1989 2022/08/26 15:40:09 - mmengine - INFO - Epoch(train) [76][25/63] lr: 8.8657e-04 eta: 5:15:08 time: 0.6396 data_time: 0.0241 memory: 12277 loss_text: 0.1105 loss_kernel: 0.0534 loss_embedding: 0.0329 loss: 0.1969 2022/08/26 15:40:12 - mmengine - INFO - Epoch(train) [76][30/63] lr: 8.8657e-04 eta: 5:15:05 time: 0.6061 data_time: 0.0290 memory: 12277 loss_text: 0.1061 loss_kernel: 0.0523 loss_embedding: 0.0292 loss: 0.1875 2022/08/26 15:40:15 - mmengine - INFO - Epoch(train) [76][35/63] lr: 8.8657e-04 eta: 5:15:05 time: 0.5558 data_time: 0.0275 memory: 12277 loss_text: 0.0973 loss_kernel: 0.0517 loss_embedding: 0.0258 loss: 0.1749 2022/08/26 15:40:17 - mmengine - INFO - Epoch(train) [76][40/63] lr: 8.8657e-04 eta: 5:14:55 time: 0.5132 data_time: 0.0210 memory: 12277 loss_text: 0.1125 loss_kernel: 0.0538 loss_embedding: 0.0268 loss: 0.1931 2022/08/26 15:40:20 - mmengine - INFO - Epoch(train) [76][45/63] lr: 8.8657e-04 eta: 5:14:55 time: 0.5207 data_time: 0.0219 memory: 12277 loss_text: 0.1149 loss_kernel: 0.0527 loss_embedding: 0.0268 loss: 0.1944 2022/08/26 15:40:22 - mmengine - INFO - Epoch(train) [76][50/63] lr: 8.8657e-04 eta: 5:14:45 time: 0.5079 data_time: 0.0280 memory: 12277 loss_text: 0.0963 loss_kernel: 0.0471 loss_embedding: 0.0261 loss: 0.1695 2022/08/26 15:40:25 - mmengine - INFO - Epoch(train) [76][55/63] lr: 8.8657e-04 eta: 5:14:45 time: 0.5007 data_time: 0.0265 memory: 12277 loss_text: 0.0894 loss_kernel: 0.0450 loss_embedding: 0.0265 loss: 0.1608 2022/08/26 15:40:27 - mmengine - INFO - Epoch(train) [76][60/63] lr: 8.8657e-04 eta: 5:14:34 time: 0.4943 data_time: 0.0204 memory: 12277 loss_text: 0.1015 loss_kernel: 0.0503 loss_embedding: 0.0306 loss: 0.1824 2022/08/26 15:40:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:40:33 - mmengine - INFO - Epoch(train) [77][5/63] lr: 8.8505e-04 eta: 5:14:34 time: 0.6100 data_time: 0.1562 memory: 12277 loss_text: 0.1058 loss_kernel: 0.0524 loss_embedding: 0.0268 loss: 0.1850 2022/08/26 15:40:35 - mmengine - INFO - Epoch(train) [77][10/63] lr: 8.8505e-04 eta: 5:14:19 time: 0.6312 data_time: 0.1592 memory: 12277 loss_text: 0.1003 loss_kernel: 0.0526 loss_embedding: 0.0292 loss: 0.1821 2022/08/26 15:40:37 - mmengine - INFO - Epoch(train) [77][15/63] lr: 8.8505e-04 eta: 5:14:19 time: 0.4866 data_time: 0.0238 memory: 12277 loss_text: 0.1049 loss_kernel: 0.0553 loss_embedding: 0.0296 loss: 0.1898 2022/08/26 15:40:40 - mmengine - INFO - Epoch(train) [77][20/63] lr: 8.8505e-04 eta: 5:14:08 time: 0.4991 data_time: 0.0223 memory: 12277 loss_text: 0.0980 loss_kernel: 0.0488 loss_embedding: 0.0274 loss: 0.1741 2022/08/26 15:40:42 - mmengine - INFO - Epoch(train) [77][25/63] lr: 8.8505e-04 eta: 5:14:08 time: 0.4962 data_time: 0.0204 memory: 12277 loss_text: 0.0895 loss_kernel: 0.0461 loss_embedding: 0.0272 loss: 0.1628 2022/08/26 15:40:45 - mmengine - INFO - Epoch(train) [77][30/63] lr: 8.8505e-04 eta: 5:13:57 time: 0.4913 data_time: 0.0209 memory: 12277 loss_text: 0.0935 loss_kernel: 0.0498 loss_embedding: 0.0289 loss: 0.1721 2022/08/26 15:40:47 - mmengine - INFO - Epoch(train) [77][35/63] lr: 8.8505e-04 eta: 5:13:57 time: 0.5065 data_time: 0.0279 memory: 12277 loss_text: 0.0954 loss_kernel: 0.0504 loss_embedding: 0.0275 loss: 0.1733 2022/08/26 15:40:50 - mmengine - INFO - Epoch(train) [77][40/63] lr: 8.8505e-04 eta: 5:13:48 time: 0.5233 data_time: 0.0296 memory: 12277 loss_text: 0.1080 loss_kernel: 0.0520 loss_embedding: 0.0257 loss: 0.1857 2022/08/26 15:40:52 - mmengine - INFO - Epoch(train) [77][45/63] lr: 8.8505e-04 eta: 5:13:48 time: 0.5104 data_time: 0.0258 memory: 12277 loss_text: 0.1096 loss_kernel: 0.0518 loss_embedding: 0.0267 loss: 0.1880 2022/08/26 15:40:55 - mmengine - INFO - Epoch(train) [77][50/63] lr: 8.8505e-04 eta: 5:13:39 time: 0.5232 data_time: 0.0240 memory: 12277 loss_text: 0.1045 loss_kernel: 0.0487 loss_embedding: 0.0301 loss: 0.1832 2022/08/26 15:40:59 - mmengine - INFO - Epoch(train) [77][55/63] lr: 8.8505e-04 eta: 5:13:39 time: 0.6470 data_time: 0.0301 memory: 12277 loss_text: 0.1151 loss_kernel: 0.0483 loss_embedding: 0.0324 loss: 0.1958 2022/08/26 15:41:02 - mmengine - INFO - Epoch(train) [77][60/63] lr: 8.8505e-04 eta: 5:13:42 time: 0.7013 data_time: 0.0338 memory: 12277 loss_text: 0.1161 loss_kernel: 0.0502 loss_embedding: 0.0351 loss: 0.2014 2022/08/26 15:41:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:41:08 - mmengine - INFO - Epoch(train) [78][5/63] lr: 8.8353e-04 eta: 5:13:42 time: 0.7594 data_time: 0.1669 memory: 12277 loss_text: 0.1303 loss_kernel: 0.0564 loss_embedding: 0.0326 loss: 0.2193 2022/08/26 15:41:11 - mmengine - INFO - Epoch(train) [78][10/63] lr: 8.8353e-04 eta: 5:13:29 time: 0.6618 data_time: 0.1640 memory: 12277 loss_text: 0.1318 loss_kernel: 0.0565 loss_embedding: 0.0307 loss: 0.2190 2022/08/26 15:41:14 - mmengine - INFO - Epoch(train) [78][15/63] lr: 8.8353e-04 eta: 5:13:29 time: 0.5303 data_time: 0.0296 memory: 12277 loss_text: 0.1119 loss_kernel: 0.0503 loss_embedding: 0.0307 loss: 0.1928 2022/08/26 15:41:16 - mmengine - INFO - Epoch(train) [78][20/63] lr: 8.8353e-04 eta: 5:13:20 time: 0.5150 data_time: 0.0211 memory: 12277 loss_text: 0.0996 loss_kernel: 0.0477 loss_embedding: 0.0352 loss: 0.1825 2022/08/26 15:41:19 - mmengine - INFO - Epoch(train) [78][25/63] lr: 8.8353e-04 eta: 5:13:20 time: 0.5134 data_time: 0.0244 memory: 12277 loss_text: 0.1132 loss_kernel: 0.0524 loss_embedding: 0.0354 loss: 0.2009 2022/08/26 15:41:21 - mmengine - INFO - Epoch(train) [78][30/63] lr: 8.8353e-04 eta: 5:13:11 time: 0.5280 data_time: 0.0301 memory: 12277 loss_text: 0.1201 loss_kernel: 0.0564 loss_embedding: 0.0312 loss: 0.2077 2022/08/26 15:41:24 - mmengine - INFO - Epoch(train) [78][35/63] lr: 8.8353e-04 eta: 5:13:11 time: 0.5198 data_time: 0.0274 memory: 12277 loss_text: 0.1133 loss_kernel: 0.0560 loss_embedding: 0.0292 loss: 0.1985 2022/08/26 15:41:26 - mmengine - INFO - Epoch(train) [78][40/63] lr: 8.8353e-04 eta: 5:13:01 time: 0.5027 data_time: 0.0228 memory: 12277 loss_text: 0.1110 loss_kernel: 0.0580 loss_embedding: 0.0288 loss: 0.1979 2022/08/26 15:41:29 - mmengine - INFO - Epoch(train) [78][45/63] lr: 8.8353e-04 eta: 5:13:01 time: 0.4858 data_time: 0.0209 memory: 12277 loss_text: 0.1034 loss_kernel: 0.0535 loss_embedding: 0.0293 loss: 0.1862 2022/08/26 15:41:32 - mmengine - INFO - Epoch(train) [78][50/63] lr: 8.8353e-04 eta: 5:12:52 time: 0.5315 data_time: 0.0276 memory: 12277 loss_text: 0.1093 loss_kernel: 0.0498 loss_embedding: 0.0281 loss: 0.1872 2022/08/26 15:41:34 - mmengine - INFO - Epoch(train) [78][55/63] lr: 8.8353e-04 eta: 5:12:52 time: 0.5429 data_time: 0.0290 memory: 12277 loss_text: 0.1006 loss_kernel: 0.0476 loss_embedding: 0.0260 loss: 0.1741 2022/08/26 15:41:37 - mmengine - INFO - Epoch(train) [78][60/63] lr: 8.8353e-04 eta: 5:12:41 time: 0.4861 data_time: 0.0211 memory: 12277 loss_text: 0.0949 loss_kernel: 0.0472 loss_embedding: 0.0268 loss: 0.1688 2022/08/26 15:41:38 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:41:42 - mmengine - INFO - Epoch(train) [79][5/63] lr: 8.8200e-04 eta: 5:12:41 time: 0.6026 data_time: 0.1445 memory: 12277 loss_text: 0.0983 loss_kernel: 0.0478 loss_embedding: 0.0273 loss: 0.1734 2022/08/26 15:41:44 - mmengine - INFO - Epoch(train) [79][10/63] lr: 8.8200e-04 eta: 5:12:26 time: 0.6270 data_time: 0.1504 memory: 12277 loss_text: 0.1070 loss_kernel: 0.0489 loss_embedding: 0.0294 loss: 0.1853 2022/08/26 15:41:47 - mmengine - INFO - Epoch(train) [79][15/63] lr: 8.8200e-04 eta: 5:12:26 time: 0.4915 data_time: 0.0253 memory: 12277 loss_text: 0.1193 loss_kernel: 0.0498 loss_embedding: 0.0327 loss: 0.2017 2022/08/26 15:41:49 - mmengine - INFO - Epoch(train) [79][20/63] lr: 8.8200e-04 eta: 5:12:15 time: 0.4912 data_time: 0.0214 memory: 12277 loss_text: 0.1334 loss_kernel: 0.0495 loss_embedding: 0.0323 loss: 0.2152 2022/08/26 15:41:52 - mmengine - INFO - Epoch(train) [79][25/63] lr: 8.8200e-04 eta: 5:12:15 time: 0.5067 data_time: 0.0201 memory: 12277 loss_text: 0.1244 loss_kernel: 0.0500 loss_embedding: 0.0312 loss: 0.2056 2022/08/26 15:41:54 - mmengine - INFO - Epoch(train) [79][30/63] lr: 8.8200e-04 eta: 5:12:06 time: 0.5156 data_time: 0.0205 memory: 12277 loss_text: 0.1145 loss_kernel: 0.0518 loss_embedding: 0.0349 loss: 0.2012 2022/08/26 15:41:58 - mmengine - INFO - Epoch(train) [79][35/63] lr: 8.8200e-04 eta: 5:12:06 time: 0.6093 data_time: 0.0257 memory: 12277 loss_text: 0.1144 loss_kernel: 0.0522 loss_embedding: 0.0332 loss: 0.1997 2022/08/26 15:42:00 - mmengine - INFO - Epoch(train) [79][40/63] lr: 8.8200e-04 eta: 5:12:02 time: 0.6058 data_time: 0.0261 memory: 12277 loss_text: 0.1193 loss_kernel: 0.0515 loss_embedding: 0.0325 loss: 0.2033 2022/08/26 15:42:04 - mmengine - INFO - Epoch(train) [79][45/63] lr: 8.8200e-04 eta: 5:12:02 time: 0.6040 data_time: 0.0200 memory: 12277 loss_text: 0.1234 loss_kernel: 0.0523 loss_embedding: 0.0338 loss: 0.2096 2022/08/26 15:42:07 - mmengine - INFO - Epoch(train) [79][50/63] lr: 8.8200e-04 eta: 5:12:01 time: 0.6379 data_time: 0.0204 memory: 12277 loss_text: 0.1143 loss_kernel: 0.0528 loss_embedding: 0.0290 loss: 0.1962 2022/08/26 15:42:09 - mmengine - INFO - Epoch(train) [79][55/63] lr: 8.8200e-04 eta: 5:12:01 time: 0.5435 data_time: 0.0254 memory: 12277 loss_text: 0.1135 loss_kernel: 0.0543 loss_embedding: 0.0296 loss: 0.1973 2022/08/26 15:42:12 - mmengine - INFO - Epoch(train) [79][60/63] lr: 8.8200e-04 eta: 5:11:52 time: 0.5251 data_time: 0.0266 memory: 12277 loss_text: 0.1085 loss_kernel: 0.0504 loss_embedding: 0.0320 loss: 0.1908 2022/08/26 15:42:13 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:42:17 - mmengine - INFO - Epoch(train) [80][5/63] lr: 8.8048e-04 eta: 5:11:52 time: 0.5681 data_time: 0.1272 memory: 12277 loss_text: 0.1120 loss_kernel: 0.0497 loss_embedding: 0.0266 loss: 0.1883 2022/08/26 15:42:19 - mmengine - INFO - Epoch(train) [80][10/63] lr: 8.8048e-04 eta: 5:11:36 time: 0.5993 data_time: 0.1345 memory: 12277 loss_text: 0.1044 loss_kernel: 0.0461 loss_embedding: 0.0267 loss: 0.1772 2022/08/26 15:42:22 - mmengine - INFO - Epoch(train) [80][15/63] lr: 8.8048e-04 eta: 5:11:36 time: 0.5041 data_time: 0.0279 memory: 12277 loss_text: 0.0948 loss_kernel: 0.0495 loss_embedding: 0.0304 loss: 0.1747 2022/08/26 15:42:24 - mmengine - INFO - Epoch(train) [80][20/63] lr: 8.8048e-04 eta: 5:11:27 time: 0.5230 data_time: 0.0225 memory: 12277 loss_text: 0.1133 loss_kernel: 0.0518 loss_embedding: 0.0321 loss: 0.1972 2022/08/26 15:42:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:42:27 - mmengine - INFO - Epoch(train) [80][25/63] lr: 8.8048e-04 eta: 5:11:27 time: 0.5292 data_time: 0.0211 memory: 12277 loss_text: 0.1215 loss_kernel: 0.0508 loss_embedding: 0.0318 loss: 0.2041 2022/08/26 15:42:30 - mmengine - INFO - Epoch(train) [80][30/63] lr: 8.8048e-04 eta: 5:11:18 time: 0.5274 data_time: 0.0274 memory: 12277 loss_text: 0.1122 loss_kernel: 0.0516 loss_embedding: 0.0283 loss: 0.1921 2022/08/26 15:42:32 - mmengine - INFO - Epoch(train) [80][35/63] lr: 8.8048e-04 eta: 5:11:18 time: 0.5265 data_time: 0.0289 memory: 12277 loss_text: 0.1040 loss_kernel: 0.0523 loss_embedding: 0.0274 loss: 0.1837 2022/08/26 15:42:35 - mmengine - INFO - Epoch(train) [80][40/63] lr: 8.8048e-04 eta: 5:11:08 time: 0.4969 data_time: 0.0224 memory: 12277 loss_text: 0.1018 loss_kernel: 0.0489 loss_embedding: 0.0292 loss: 0.1799 2022/08/26 15:42:37 - mmengine - INFO - Epoch(train) [80][45/63] lr: 8.8048e-04 eta: 5:11:08 time: 0.4853 data_time: 0.0214 memory: 12277 loss_text: 0.1002 loss_kernel: 0.0465 loss_embedding: 0.0279 loss: 0.1746 2022/08/26 15:42:40 - mmengine - INFO - Epoch(train) [80][50/63] lr: 8.8048e-04 eta: 5:10:58 time: 0.5074 data_time: 0.0275 memory: 12277 loss_text: 0.1033 loss_kernel: 0.0508 loss_embedding: 0.0290 loss: 0.1831 2022/08/26 15:42:42 - mmengine - INFO - Epoch(train) [80][55/63] lr: 8.8048e-04 eta: 5:10:58 time: 0.5248 data_time: 0.0288 memory: 12277 loss_text: 0.1052 loss_kernel: 0.0551 loss_embedding: 0.0266 loss: 0.1870 2022/08/26 15:42:45 - mmengine - INFO - Epoch(train) [80][60/63] lr: 8.8048e-04 eta: 5:10:49 time: 0.5127 data_time: 0.0218 memory: 12277 loss_text: 0.1017 loss_kernel: 0.0521 loss_embedding: 0.0233 loss: 0.1771 2022/08/26 15:42:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:42:46 - mmengine - INFO - Saving checkpoint at 80 epochs 2022/08/26 15:42:49 - mmengine - INFO - Epoch(val) [80][5/500] eta: 5:10:49 time: 0.0274 data_time: 0.0040 memory: 12277 2022/08/26 15:42:49 - mmengine - INFO - Epoch(val) [80][10/500] eta: 0:00:15 time: 0.0323 data_time: 0.0041 memory: 497 2022/08/26 15:42:49 - mmengine - INFO - Epoch(val) [80][15/500] eta: 0:00:15 time: 0.0242 data_time: 0.0015 memory: 539 2022/08/26 15:42:50 - mmengine - INFO - Epoch(val) [80][20/500] eta: 0:00:10 time: 0.0228 data_time: 0.0016 memory: 497 2022/08/26 15:42:50 - mmengine - INFO - Epoch(val) [80][25/500] eta: 0:00:10 time: 0.0205 data_time: 0.0016 memory: 505 2022/08/26 15:42:50 - mmengine - INFO - Epoch(val) [80][30/500] eta: 0:00:09 time: 0.0192 data_time: 0.0015 memory: 516 2022/08/26 15:42:50 - mmengine - INFO - Epoch(val) [80][35/500] eta: 0:00:09 time: 0.0208 data_time: 0.0016 memory: 497 2022/08/26 15:42:50 - mmengine - INFO - Epoch(val) [80][40/500] eta: 0:00:08 time: 0.0190 data_time: 0.0014 memory: 497 2022/08/26 15:42:50 - mmengine - INFO - Epoch(val) [80][45/500] eta: 0:00:08 time: 0.0152 data_time: 0.0013 memory: 480 2022/08/26 15:42:50 - mmengine - INFO - Epoch(val) [80][50/500] eta: 0:00:07 time: 0.0163 data_time: 0.0013 memory: 539 2022/08/26 15:42:50 - mmengine - INFO - Epoch(val) [80][55/500] eta: 0:00:07 time: 0.0189 data_time: 0.0014 memory: 561 2022/08/26 15:42:50 - mmengine - INFO - Epoch(val) [80][60/500] eta: 0:00:08 time: 0.0190 data_time: 0.0013 memory: 497 2022/08/26 15:42:50 - mmengine - INFO - Epoch(val) [80][65/500] eta: 0:00:08 time: 0.0216 data_time: 0.0015 memory: 597 2022/08/26 15:42:51 - mmengine - INFO - Epoch(val) [80][70/500] eta: 0:00:08 time: 0.0207 data_time: 0.0017 memory: 497 2022/08/26 15:42:51 - mmengine - INFO - Epoch(val) [80][75/500] eta: 0:00:08 time: 0.0203 data_time: 0.0016 memory: 556 2022/08/26 15:42:51 - mmengine - INFO - Epoch(val) [80][80/500] eta: 0:00:08 time: 0.0207 data_time: 0.0015 memory: 497 2022/08/26 15:42:51 - mmengine - INFO - Epoch(val) [80][85/500] eta: 0:00:08 time: 0.0199 data_time: 0.0015 memory: 564 2022/08/26 15:42:51 - mmengine - INFO - Epoch(val) [80][90/500] eta: 0:00:08 time: 0.0204 data_time: 0.0015 memory: 522 2022/08/26 15:42:51 - mmengine - INFO - Epoch(val) [80][95/500] eta: 0:00:08 time: 0.0287 data_time: 0.0016 memory: 756 2022/08/26 15:42:51 - mmengine - INFO - Epoch(val) [80][100/500] eta: 0:00:11 time: 0.0292 data_time: 0.0017 memory: 572 2022/08/26 15:42:51 - mmengine - INFO - Epoch(val) [80][105/500] eta: 0:00:11 time: 0.0207 data_time: 0.0017 memory: 539 2022/08/26 15:42:51 - mmengine - INFO - Epoch(val) [80][110/500] eta: 0:00:06 time: 0.0177 data_time: 0.0016 memory: 497 2022/08/26 15:42:51 - mmengine - INFO - Epoch(val) [80][115/500] eta: 0:00:06 time: 0.0167 data_time: 0.0015 memory: 497 2022/08/26 15:42:52 - mmengine - INFO - Epoch(val) [80][120/500] eta: 0:00:07 time: 0.0208 data_time: 0.0015 memory: 530 2022/08/26 15:42:52 - mmengine - INFO - Epoch(val) [80][125/500] eta: 0:00:07 time: 0.0226 data_time: 0.0015 memory: 497 2022/08/26 15:42:52 - mmengine - INFO - Epoch(val) [80][130/500] eta: 0:00:07 time: 0.0211 data_time: 0.0017 memory: 539 2022/08/26 15:42:52 - mmengine - INFO - Epoch(val) [80][135/500] eta: 0:00:07 time: 0.0185 data_time: 0.0017 memory: 497 2022/08/26 15:42:52 - mmengine - INFO - Epoch(val) [80][140/500] eta: 0:00:06 time: 0.0183 data_time: 0.0016 memory: 480 2022/08/26 15:42:52 - mmengine - INFO - Epoch(val) [80][145/500] eta: 0:00:06 time: 0.0186 data_time: 0.0016 memory: 751 2022/08/26 15:42:52 - mmengine - INFO - Epoch(val) [80][150/500] eta: 0:00:06 time: 0.0176 data_time: 0.0016 memory: 464 2022/08/26 15:42:52 - mmengine - INFO - Epoch(val) [80][155/500] eta: 0:00:06 time: 0.0185 data_time: 0.0016 memory: 516 2022/08/26 15:42:52 - mmengine - INFO - Epoch(val) [80][160/500] eta: 0:00:06 time: 0.0182 data_time: 0.0017 memory: 539 2022/08/26 15:42:52 - mmengine - INFO - Epoch(val) [80][165/500] eta: 0:00:06 time: 0.0170 data_time: 0.0016 memory: 497 2022/08/26 15:42:53 - mmengine - INFO - Epoch(val) [80][170/500] eta: 0:00:06 time: 0.0183 data_time: 0.0016 memory: 514 2022/08/26 15:42:53 - mmengine - INFO - Epoch(val) [80][175/500] eta: 0:00:06 time: 0.0166 data_time: 0.0015 memory: 539 2022/08/26 15:42:53 - mmengine - INFO - Epoch(val) [80][180/500] eta: 0:00:05 time: 0.0170 data_time: 0.0014 memory: 539 2022/08/26 15:42:53 - mmengine - INFO - Epoch(val) [80][185/500] eta: 0:00:05 time: 0.0184 data_time: 0.0014 memory: 489 2022/08/26 15:42:53 - mmengine - INFO - Epoch(val) [80][190/500] eta: 0:00:05 time: 0.0172 data_time: 0.0014 memory: 516 2022/08/26 15:42:53 - mmengine - INFO - Epoch(val) [80][195/500] eta: 0:00:05 time: 0.0174 data_time: 0.0014 memory: 516 2022/08/26 15:42:53 - mmengine - INFO - Epoch(val) [80][200/500] eta: 0:00:05 time: 0.0174 data_time: 0.0014 memory: 516 2022/08/26 15:42:53 - mmengine - INFO - Epoch(val) [80][205/500] eta: 0:00:05 time: 0.0194 data_time: 0.0014 memory: 664 2022/08/26 15:42:53 - mmengine - INFO - Epoch(val) [80][210/500] eta: 0:00:05 time: 0.0192 data_time: 0.0014 memory: 497 2022/08/26 15:42:53 - mmengine - INFO - Epoch(val) [80][215/500] eta: 0:00:05 time: 0.0195 data_time: 0.0014 memory: 514 2022/08/26 15:42:53 - mmengine - INFO - Epoch(val) [80][220/500] eta: 0:00:05 time: 0.0207 data_time: 0.0015 memory: 572 2022/08/26 15:42:54 - mmengine - INFO - Epoch(val) [80][225/500] eta: 0:00:05 time: 0.0178 data_time: 0.0016 memory: 497 2022/08/26 15:42:54 - mmengine - INFO - Epoch(val) [80][230/500] eta: 0:00:07 time: 0.0268 data_time: 0.0017 memory: 507 2022/08/26 15:42:54 - mmengine - INFO - Epoch(val) [80][235/500] eta: 0:00:07 time: 0.0284 data_time: 0.0017 memory: 497 2022/08/26 15:42:54 - mmengine - INFO - Epoch(val) [80][240/500] eta: 0:00:04 time: 0.0186 data_time: 0.0015 memory: 497 2022/08/26 15:42:54 - mmengine - INFO - Epoch(val) [80][245/500] eta: 0:00:04 time: 0.0179 data_time: 0.0015 memory: 648 2022/08/26 15:42:54 - mmengine - INFO - Epoch(val) [80][250/500] eta: 0:00:04 time: 0.0177 data_time: 0.0015 memory: 497 2022/08/26 15:42:54 - mmengine - INFO - Epoch(val) [80][255/500] eta: 0:00:04 time: 0.0340 data_time: 0.0015 memory: 543 2022/08/26 15:42:54 - mmengine - INFO - Epoch(val) [80][260/500] eta: 0:00:08 time: 0.0333 data_time: 0.0017 memory: 516 2022/08/26 15:42:55 - mmengine - INFO - Epoch(val) [80][265/500] eta: 0:00:08 time: 0.0175 data_time: 0.0016 memory: 622 2022/08/26 15:42:55 - mmengine - INFO - Epoch(val) 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0.0176 data_time: 0.0015 memory: 606 2022/08/26 15:42:55 - mmengine - INFO - Epoch(val) [80][315/500] eta: 0:00:03 time: 0.0174 data_time: 0.0015 memory: 539 2022/08/26 15:42:56 - mmengine - INFO - Epoch(val) [80][320/500] eta: 0:00:03 time: 0.0178 data_time: 0.0016 memory: 499 2022/08/26 15:42:56 - mmengine - INFO - Epoch(val) [80][325/500] eta: 0:00:03 time: 0.0167 data_time: 0.0016 memory: 497 2022/08/26 15:42:56 - mmengine - INFO - Epoch(val) [80][330/500] eta: 0:00:02 time: 0.0156 data_time: 0.0014 memory: 497 2022/08/26 15:42:56 - mmengine - INFO - Epoch(val) [80][335/500] eta: 0:00:02 time: 0.0169 data_time: 0.0013 memory: 497 2022/08/26 15:42:56 - mmengine - INFO - Epoch(val) [80][340/500] eta: 0:00:02 time: 0.0170 data_time: 0.0013 memory: 522 2022/08/26 15:42:56 - mmengine - INFO - Epoch(val) [80][345/500] eta: 0:00:02 time: 0.0164 data_time: 0.0013 memory: 572 2022/08/26 15:42:56 - mmengine - INFO - Epoch(val) [80][350/500] eta: 0:00:02 time: 0.0177 data_time: 0.0013 memory: 499 2022/08/26 15:42:56 - mmengine - INFO - Epoch(val) [80][355/500] eta: 0:00:02 time: 0.0205 data_time: 0.0013 memory: 525 2022/08/26 15:42:56 - mmengine - INFO - Epoch(val) [80][360/500] eta: 0:00:02 time: 0.0186 data_time: 0.0013 memory: 525 2022/08/26 15:42:56 - mmengine - INFO - Epoch(val) [80][365/500] eta: 0:00:02 time: 0.0180 data_time: 0.0014 memory: 707 2022/08/26 15:42:56 - mmengine - INFO - Epoch(val) [80][370/500] eta: 0:00:02 time: 0.0174 data_time: 0.0014 memory: 539 2022/08/26 15:42:56 - mmengine - INFO - Epoch(val) [80][375/500] eta: 0:00:02 time: 0.0162 data_time: 0.0014 memory: 765 2022/08/26 15:42:57 - mmengine - INFO - Epoch(val) [80][380/500] eta: 0:00:02 time: 0.0194 data_time: 0.0014 memory: 572 2022/08/26 15:42:57 - mmengine - INFO - Epoch(val) [80][385/500] eta: 0:00:02 time: 0.0186 data_time: 0.0015 memory: 497 2022/08/26 15:42:57 - mmengine - INFO - Epoch(val) [80][390/500] eta: 0:00:01 time: 0.0177 data_time: 0.0015 memory: 539 2022/08/26 15:42:57 - mmengine - INFO - Epoch(val) [80][395/500] eta: 0:00:01 time: 0.0240 data_time: 0.0014 memory: 489 2022/08/26 15:42:57 - mmengine - INFO - Epoch(val) [80][400/500] eta: 0:00:02 time: 0.0253 data_time: 0.0014 memory: 497 2022/08/26 15:42:57 - mmengine - INFO - Epoch(val) [80][405/500] eta: 0:00:02 time: 0.0177 data_time: 0.0015 memory: 497 2022/08/26 15:42:57 - mmengine - INFO - Epoch(val) [80][410/500] eta: 0:00:01 time: 0.0158 data_time: 0.0014 memory: 497 2022/08/26 15:42:57 - mmengine - INFO - Epoch(val) [80][415/500] eta: 0:00:01 time: 0.0186 data_time: 0.0014 memory: 497 2022/08/26 15:42:57 - mmengine - INFO - Epoch(val) [80][420/500] eta: 0:00:01 time: 0.0234 data_time: 0.0015 memory: 497 2022/08/26 15:42:58 - mmengine - INFO - Epoch(val) [80][425/500] eta: 0:00:01 time: 0.0240 data_time: 0.0015 memory: 489 2022/08/26 15:42:58 - mmengine - INFO - Epoch(val) [80][430/500] eta: 0:00:01 time: 0.0215 data_time: 0.0016 memory: 516 2022/08/26 15:42:58 - mmengine - INFO - Epoch(val) [80][435/500] eta: 0:00:01 time: 0.0215 data_time: 0.0017 memory: 681 2022/08/26 15:42:58 - mmengine - INFO - Epoch(val) [80][440/500] eta: 0:00:01 time: 0.0200 data_time: 0.0016 memory: 539 2022/08/26 15:42:58 - mmengine - INFO - Epoch(val) [80][445/500] eta: 0:00:01 time: 0.0180 data_time: 0.0016 memory: 489 2022/08/26 15:42:58 - mmengine - INFO - Epoch(val) [80][450/500] eta: 0:00:00 time: 0.0167 data_time: 0.0016 memory: 507 2022/08/26 15:42:58 - mmengine - INFO - Epoch(val) [80][455/500] eta: 0:00:00 time: 0.0188 data_time: 0.0015 memory: 606 2022/08/26 15:42:58 - mmengine - INFO - Epoch(val) [80][460/500] eta: 0:00:00 time: 0.0194 data_time: 0.0015 memory: 499 2022/08/26 15:42:58 - mmengine - INFO - Epoch(val) [80][465/500] eta: 0:00:00 time: 0.0188 data_time: 0.0015 memory: 539 2022/08/26 15:42:58 - mmengine - INFO - Epoch(val) [80][470/500] eta: 0:00:00 time: 0.0175 data_time: 0.0015 memory: 516 2022/08/26 15:42:58 - mmengine - INFO - Epoch(val) [80][475/500] eta: 0:00:00 time: 0.0163 data_time: 0.0014 memory: 507 2022/08/26 15:42:59 - mmengine - INFO - Epoch(val) [80][480/500] eta: 0:00:00 time: 0.0180 data_time: 0.0019 memory: 464 2022/08/26 15:42:59 - mmengine - INFO - Epoch(val) [80][485/500] eta: 0:00:00 time: 0.0182 data_time: 0.0021 memory: 497 2022/08/26 15:42:59 - mmengine - INFO - Epoch(val) [80][490/500] eta: 0:00:00 time: 0.0163 data_time: 0.0015 memory: 497 2022/08/26 15:42:59 - mmengine - INFO - Epoch(val) [80][495/500] eta: 0:00:00 time: 0.0149 data_time: 0.0014 memory: 480 2022/08/26 15:42:59 - mmengine - INFO - Epoch(val) [80][500/500] eta: 0:00:00 time: 0.0148 data_time: 0.0014 memory: 522 2022/08/26 15:42:59 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 15:42:59 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7382, precision: 0.6460, hmean: 0.6890 2022/08/26 15:42:59 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7382, precision: 0.6460, hmean: 0.6890 2022/08/26 15:42:59 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7382, precision: 0.6460, hmean: 0.6890 2022/08/26 15:42:59 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7382, precision: 0.6460, hmean: 0.6890 2022/08/26 15:42:59 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7382, precision: 0.6460, hmean: 0.6890 2022/08/26 15:42:59 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7382, precision: 0.6527, hmean: 0.6928 2022/08/26 15:42:59 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7382, precision: 0.6722, hmean: 0.7037 2022/08/26 15:42:59 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7366, precision: 0.6971, hmean: 0.7163 2022/08/26 15:42:59 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7320, precision: 0.7266, hmean: 0.7293 2022/08/26 15:42:59 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7278, precision: 0.7533, hmean: 0.7403 2022/08/26 15:42:59 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7203, precision: 0.7791, hmean: 0.7486 2022/08/26 15:42:59 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7018, precision: 0.8016, hmean: 0.7484 2022/08/26 15:42:59 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6452, precision: 0.8347, hmean: 0.7278 2022/08/26 15:42:59 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.3450, precision: 0.8812, hmean: 0.4959 2022/08/26 15:42:59 - mmengine - INFO - Epoch(val) [80][500/500] icdar/precision: 0.7791 icdar/recall: 0.7203 icdar/hmean: 0.7486 2022/08/26 15:43:03 - mmengine - INFO - Epoch(train) [81][5/63] lr: 8.7895e-04 eta: 0:00:00 time: 0.5969 data_time: 0.1408 memory: 12277 loss_text: 0.0951 loss_kernel: 0.0465 loss_embedding: 0.0232 loss: 0.1647 2022/08/26 15:43:05 - mmengine - INFO - Epoch(train) [81][10/63] lr: 8.7895e-04 eta: 5:10:35 time: 0.6342 data_time: 0.1446 memory: 12277 loss_text: 0.0954 loss_kernel: 0.0460 loss_embedding: 0.0241 loss: 0.1655 2022/08/26 15:43:08 - mmengine - INFO - Epoch(train) [81][15/63] lr: 8.7895e-04 eta: 5:10:35 time: 0.5083 data_time: 0.0224 memory: 12277 loss_text: 0.0934 loss_kernel: 0.0457 loss_embedding: 0.0273 loss: 0.1664 2022/08/26 15:43:10 - mmengine - INFO - Epoch(train) [81][20/63] lr: 8.7895e-04 eta: 5:10:25 time: 0.5088 data_time: 0.0216 memory: 12277 loss_text: 0.0955 loss_kernel: 0.0474 loss_embedding: 0.0281 loss: 0.1709 2022/08/26 15:43:13 - mmengine - INFO - Epoch(train) [81][25/63] lr: 8.7895e-04 eta: 5:10:25 time: 0.5074 data_time: 0.0266 memory: 12277 loss_text: 0.0953 loss_kernel: 0.0483 loss_embedding: 0.0260 loss: 0.1696 2022/08/26 15:43:15 - mmengine - INFO - Epoch(train) [81][30/63] lr: 8.7895e-04 eta: 5:10:15 time: 0.4990 data_time: 0.0297 memory: 12277 loss_text: 0.0901 loss_kernel: 0.0494 loss_embedding: 0.0273 loss: 0.1667 2022/08/26 15:43:18 - mmengine - INFO - Epoch(train) [81][35/63] lr: 8.7895e-04 eta: 5:10:15 time: 0.4979 data_time: 0.0235 memory: 12277 loss_text: 0.0882 loss_kernel: 0.0481 loss_embedding: 0.0277 loss: 0.1640 2022/08/26 15:43:20 - mmengine - INFO - Epoch(train) [81][40/63] lr: 8.7895e-04 eta: 5:10:05 time: 0.4977 data_time: 0.0175 memory: 12277 loss_text: 0.0865 loss_kernel: 0.0458 loss_embedding: 0.0254 loss: 0.1577 2022/08/26 15:43:23 - mmengine - INFO - Epoch(train) [81][45/63] lr: 8.7895e-04 eta: 5:10:05 time: 0.4908 data_time: 0.0202 memory: 12277 loss_text: 0.0815 loss_kernel: 0.0480 loss_embedding: 0.0252 loss: 0.1548 2022/08/26 15:43:25 - mmengine - INFO - Epoch(train) [81][50/63] lr: 8.7895e-04 eta: 5:09:54 time: 0.4936 data_time: 0.0233 memory: 12277 loss_text: 0.0854 loss_kernel: 0.0498 loss_embedding: 0.0290 loss: 0.1642 2022/08/26 15:43:28 - mmengine - INFO - Epoch(train) [81][55/63] lr: 8.7895e-04 eta: 5:09:54 time: 0.4983 data_time: 0.0217 memory: 12277 loss_text: 0.1047 loss_kernel: 0.0522 loss_embedding: 0.0276 loss: 0.1845 2022/08/26 15:43:30 - mmengine - INFO - Epoch(train) [81][60/63] lr: 8.7895e-04 eta: 5:09:44 time: 0.4934 data_time: 0.0175 memory: 12277 loss_text: 0.1090 loss_kernel: 0.0545 loss_embedding: 0.0249 loss: 0.1884 2022/08/26 15:43:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:43:35 - mmengine - INFO - Epoch(train) [82][5/63] lr: 8.7743e-04 eta: 5:09:44 time: 0.5870 data_time: 0.1144 memory: 12277 loss_text: 0.1064 loss_kernel: 0.0537 loss_embedding: 0.0313 loss: 0.1915 2022/08/26 15:43:38 - mmengine - INFO - Epoch(train) [82][10/63] lr: 8.7743e-04 eta: 5:09:28 time: 0.6054 data_time: 0.1235 memory: 12277 loss_text: 0.0950 loss_kernel: 0.0521 loss_embedding: 0.0285 loss: 0.1756 2022/08/26 15:43:40 - mmengine - INFO - Epoch(train) [82][15/63] lr: 8.7743e-04 eta: 5:09:28 time: 0.5030 data_time: 0.0347 memory: 12277 loss_text: 0.0903 loss_kernel: 0.0483 loss_embedding: 0.0258 loss: 0.1645 2022/08/26 15:43:43 - mmengine - INFO - Epoch(train) [82][20/63] lr: 8.7743e-04 eta: 5:09:18 time: 0.5086 data_time: 0.0254 memory: 12277 loss_text: 0.0918 loss_kernel: 0.0472 loss_embedding: 0.0261 loss: 0.1651 2022/08/26 15:43:45 - mmengine - INFO - Epoch(train) [82][25/63] lr: 8.7743e-04 eta: 5:09:18 time: 0.5025 data_time: 0.0172 memory: 12277 loss_text: 0.0885 loss_kernel: 0.0467 loss_embedding: 0.0261 loss: 0.1612 2022/08/26 15:43:48 - mmengine - INFO - Epoch(train) [82][30/63] lr: 8.7743e-04 eta: 5:09:08 time: 0.4987 data_time: 0.0233 memory: 12277 loss_text: 0.0866 loss_kernel: 0.0478 loss_embedding: 0.0272 loss: 0.1615 2022/08/26 15:43:50 - mmengine - INFO - Epoch(train) [82][35/63] lr: 8.7743e-04 eta: 5:09:08 time: 0.5284 data_time: 0.0236 memory: 12277 loss_text: 0.0939 loss_kernel: 0.0509 loss_embedding: 0.0265 loss: 0.1712 2022/08/26 15:43:53 - mmengine - INFO - Epoch(train) [82][40/63] lr: 8.7743e-04 eta: 5:09:01 time: 0.5388 data_time: 0.0202 memory: 12277 loss_text: 0.0929 loss_kernel: 0.0492 loss_embedding: 0.0246 loss: 0.1667 2022/08/26 15:43:55 - mmengine - INFO - Epoch(train) [82][45/63] lr: 8.7743e-04 eta: 5:09:01 time: 0.4998 data_time: 0.0199 memory: 12277 loss_text: 0.0825 loss_kernel: 0.0446 loss_embedding: 0.0232 loss: 0.1503 2022/08/26 15:43:58 - mmengine - INFO - Epoch(train) [82][50/63] lr: 8.7743e-04 eta: 5:08:50 time: 0.4944 data_time: 0.0233 memory: 12277 loss_text: 0.0787 loss_kernel: 0.0447 loss_embedding: 0.0244 loss: 0.1478 2022/08/26 15:44:00 - mmengine - INFO - Epoch(train) [82][55/63] lr: 8.7743e-04 eta: 5:08:50 time: 0.4898 data_time: 0.0238 memory: 12277 loss_text: 0.0963 loss_kernel: 0.0509 loss_embedding: 0.0265 loss: 0.1737 2022/08/26 15:44:03 - mmengine - INFO - Epoch(train) [82][60/63] lr: 8.7743e-04 eta: 5:08:39 time: 0.4797 data_time: 0.0181 memory: 12277 loss_text: 0.1177 loss_kernel: 0.0537 loss_embedding: 0.0273 loss: 0.1987 2022/08/26 15:44:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:44:07 - mmengine - INFO - Epoch(train) [83][5/63] lr: 8.7591e-04 eta: 5:08:39 time: 0.5573 data_time: 0.1097 memory: 12277 loss_text: 0.0974 loss_kernel: 0.0487 loss_embedding: 0.0272 loss: 0.1733 2022/08/26 15:44:10 - mmengine - INFO - Epoch(train) [83][10/63] lr: 8.7591e-04 eta: 5:08:23 time: 0.5946 data_time: 0.1167 memory: 12277 loss_text: 0.0994 loss_kernel: 0.0511 loss_embedding: 0.0262 loss: 0.1768 2022/08/26 15:44:13 - mmengine - INFO - Epoch(train) [83][15/63] lr: 8.7591e-04 eta: 5:08:23 time: 0.5053 data_time: 0.0247 memory: 12277 loss_text: 0.0910 loss_kernel: 0.0503 loss_embedding: 0.0226 loss: 0.1639 2022/08/26 15:44:15 - mmengine - INFO - Epoch(train) [83][20/63] lr: 8.7591e-04 eta: 5:08:13 time: 0.5099 data_time: 0.0186 memory: 12277 loss_text: 0.0849 loss_kernel: 0.0482 loss_embedding: 0.0242 loss: 0.1572 2022/08/26 15:44:18 - mmengine - INFO - Epoch(train) [83][25/63] lr: 8.7591e-04 eta: 5:08:13 time: 0.5188 data_time: 0.0181 memory: 12277 loss_text: 0.0949 loss_kernel: 0.0457 loss_embedding: 0.0257 loss: 0.1663 2022/08/26 15:44:20 - mmengine - INFO - Epoch(train) [83][30/63] lr: 8.7591e-04 eta: 5:08:04 time: 0.5094 data_time: 0.0245 memory: 12277 loss_text: 0.0948 loss_kernel: 0.0462 loss_embedding: 0.0251 loss: 0.1661 2022/08/26 15:44:23 - mmengine - INFO - Epoch(train) [83][35/63] lr: 8.7591e-04 eta: 5:08:04 time: 0.5002 data_time: 0.0251 memory: 12277 loss_text: 0.0888 loss_kernel: 0.0454 loss_embedding: 0.0258 loss: 0.1600 2022/08/26 15:44:25 - mmengine - INFO - Epoch(train) [83][40/63] lr: 8.7591e-04 eta: 5:07:54 time: 0.4925 data_time: 0.0191 memory: 12277 loss_text: 0.0905 loss_kernel: 0.0457 loss_embedding: 0.0266 loss: 0.1627 2022/08/26 15:44:28 - mmengine - INFO - Epoch(train) [83][45/63] lr: 8.7591e-04 eta: 5:07:54 time: 0.4799 data_time: 0.0189 memory: 12277 loss_text: 0.0929 loss_kernel: 0.0486 loss_embedding: 0.0252 loss: 0.1668 2022/08/26 15:44:30 - mmengine - INFO - Epoch(train) [83][50/63] lr: 8.7591e-04 eta: 5:07:42 time: 0.4720 data_time: 0.0181 memory: 12277 loss_text: 0.0949 loss_kernel: 0.0470 loss_embedding: 0.0250 loss: 0.1669 2022/08/26 15:44:32 - mmengine - INFO - Epoch(train) [83][55/63] lr: 8.7591e-04 eta: 5:07:42 time: 0.4802 data_time: 0.0245 memory: 12277 loss_text: 0.0971 loss_kernel: 0.0477 loss_embedding: 0.0242 loss: 0.1691 2022/08/26 15:44:35 - mmengine - INFO - Epoch(train) [83][60/63] lr: 8.7591e-04 eta: 5:07:31 time: 0.4856 data_time: 0.0250 memory: 12277 loss_text: 0.0951 loss_kernel: 0.0480 loss_embedding: 0.0260 loss: 0.1690 2022/08/26 15:44:36 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:44:39 - mmengine - INFO - Epoch(train) [84][5/63] lr: 8.7438e-04 eta: 5:07:31 time: 0.5426 data_time: 0.1138 memory: 12277 loss_text: 0.0952 loss_kernel: 0.0508 loss_embedding: 0.0303 loss: 0.1762 2022/08/26 15:44:42 - mmengine - INFO - Epoch(train) [84][10/63] lr: 8.7438e-04 eta: 5:07:18 time: 0.6396 data_time: 0.1162 memory: 12277 loss_text: 0.0926 loss_kernel: 0.0478 loss_embedding: 0.0268 loss: 0.1672 2022/08/26 15:44:45 - mmengine - INFO - Epoch(train) [84][15/63] lr: 8.7438e-04 eta: 5:07:18 time: 0.5540 data_time: 0.0230 memory: 12277 loss_text: 0.0955 loss_kernel: 0.0457 loss_embedding: 0.0232 loss: 0.1645 2022/08/26 15:44:47 - mmengine - INFO - Epoch(train) [84][20/63] lr: 8.7438e-04 eta: 5:07:08 time: 0.5029 data_time: 0.0256 memory: 12277 loss_text: 0.0995 loss_kernel: 0.0495 loss_embedding: 0.0241 loss: 0.1732 2022/08/26 15:44:50 - mmengine - INFO - Epoch(train) [84][25/63] lr: 8.7438e-04 eta: 5:07:08 time: 0.5119 data_time: 0.0226 memory: 12277 loss_text: 0.1099 loss_kernel: 0.0560 loss_embedding: 0.0306 loss: 0.1965 2022/08/26 15:44:52 - mmengine - INFO - Epoch(train) [84][30/63] lr: 8.7438e-04 eta: 5:07:00 time: 0.5130 data_time: 0.0227 memory: 12277 loss_text: 0.1135 loss_kernel: 0.0525 loss_embedding: 0.0309 loss: 0.1969 2022/08/26 15:44:55 - mmengine - INFO - Epoch(train) [84][35/63] lr: 8.7438e-04 eta: 5:07:00 time: 0.5171 data_time: 0.0281 memory: 12277 loss_text: 0.1033 loss_kernel: 0.0475 loss_embedding: 0.0258 loss: 0.1766 2022/08/26 15:44:58 - mmengine - INFO - Epoch(train) [84][40/63] lr: 8.7438e-04 eta: 5:06:50 time: 0.5054 data_time: 0.0297 memory: 12277 loss_text: 0.0976 loss_kernel: 0.0487 loss_embedding: 0.0263 loss: 0.1727 2022/08/26 15:45:00 - mmengine - INFO - Epoch(train) [84][45/63] lr: 8.7438e-04 eta: 5:06:50 time: 0.4935 data_time: 0.0244 memory: 12277 loss_text: 0.1043 loss_kernel: 0.0527 loss_embedding: 0.0269 loss: 0.1839 2022/08/26 15:45:03 - mmengine - INFO - Epoch(train) [84][50/63] lr: 8.7438e-04 eta: 5:06:40 time: 0.4971 data_time: 0.0209 memory: 12277 loss_text: 0.1014 loss_kernel: 0.0505 loss_embedding: 0.0297 loss: 0.1816 2022/08/26 15:45:05 - mmengine - INFO - Epoch(train) [84][55/63] lr: 8.7438e-04 eta: 5:06:40 time: 0.5036 data_time: 0.0261 memory: 12277 loss_text: 0.0970 loss_kernel: 0.0478 loss_embedding: 0.0281 loss: 0.1730 2022/08/26 15:45:08 - mmengine - INFO - Epoch(train) [84][60/63] lr: 8.7438e-04 eta: 5:06:31 time: 0.5125 data_time: 0.0267 memory: 12277 loss_text: 0.1047 loss_kernel: 0.0513 loss_embedding: 0.0276 loss: 0.1836 2022/08/26 15:45:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:45:13 - mmengine - INFO - Epoch(train) [85][5/63] lr: 8.7286e-04 eta: 5:06:31 time: 0.5901 data_time: 0.1421 memory: 12277 loss_text: 0.1129 loss_kernel: 0.0546 loss_embedding: 0.0291 loss: 0.1966 2022/08/26 15:45:15 - mmengine - INFO - Epoch(train) [85][10/63] lr: 8.7286e-04 eta: 5:06:17 time: 0.6196 data_time: 0.1507 memory: 12277 loss_text: 0.0915 loss_kernel: 0.0515 loss_embedding: 0.0280 loss: 0.1710 2022/08/26 15:45:18 - mmengine - INFO - Epoch(train) [85][15/63] lr: 8.7286e-04 eta: 5:06:17 time: 0.5021 data_time: 0.0279 memory: 12277 loss_text: 0.0902 loss_kernel: 0.0485 loss_embedding: 0.0275 loss: 0.1662 2022/08/26 15:45:20 - mmengine - INFO - Epoch(train) [85][20/63] lr: 8.7286e-04 eta: 5:06:08 time: 0.5137 data_time: 0.0218 memory: 12277 loss_text: 0.0995 loss_kernel: 0.0502 loss_embedding: 0.0274 loss: 0.1772 2022/08/26 15:45:23 - mmengine - INFO - Epoch(train) [85][25/63] lr: 8.7286e-04 eta: 5:06:08 time: 0.5072 data_time: 0.0219 memory: 12277 loss_text: 0.1010 loss_kernel: 0.0505 loss_embedding: 0.0311 loss: 0.1826 2022/08/26 15:45:25 - mmengine - INFO - Epoch(train) [85][30/63] lr: 8.7286e-04 eta: 5:05:58 time: 0.4926 data_time: 0.0267 memory: 12277 loss_text: 0.0912 loss_kernel: 0.0454 loss_embedding: 0.0335 loss: 0.1701 2022/08/26 15:45:28 - mmengine - INFO - Epoch(train) [85][35/63] lr: 8.7286e-04 eta: 5:05:58 time: 0.4949 data_time: 0.0267 memory: 12277 loss_text: 0.1007 loss_kernel: 0.0464 loss_embedding: 0.0340 loss: 0.1811 2022/08/26 15:45:30 - mmengine - INFO - Epoch(train) [85][40/63] lr: 8.7286e-04 eta: 5:05:50 time: 0.5220 data_time: 0.0198 memory: 12277 loss_text: 0.1013 loss_kernel: 0.0470 loss_embedding: 0.0306 loss: 0.1789 2022/08/26 15:45:33 - mmengine - INFO - Epoch(train) [85][45/63] lr: 8.7286e-04 eta: 5:05:50 time: 0.5354 data_time: 0.0238 memory: 12277 loss_text: 0.0882 loss_kernel: 0.0466 loss_embedding: 0.0259 loss: 0.1607 2022/08/26 15:45:36 - mmengine - INFO - Epoch(train) [85][50/63] lr: 8.7286e-04 eta: 5:05:41 time: 0.5223 data_time: 0.0301 memory: 12277 loss_text: 0.1014 loss_kernel: 0.0523 loss_embedding: 0.0272 loss: 0.1808 2022/08/26 15:45:38 - mmengine - INFO - Epoch(train) [85][55/63] lr: 8.7286e-04 eta: 5:05:41 time: 0.5014 data_time: 0.0279 memory: 12277 loss_text: 0.1182 loss_kernel: 0.0560 loss_embedding: 0.0314 loss: 0.2056 2022/08/26 15:45:41 - mmengine - INFO - Epoch(train) [85][60/63] lr: 8.7286e-04 eta: 5:05:32 time: 0.4957 data_time: 0.0213 memory: 12277 loss_text: 0.1036 loss_kernel: 0.0494 loss_embedding: 0.0358 loss: 0.1889 2022/08/26 15:45:42 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:45:45 - mmengine - INFO - Epoch(train) [86][5/63] lr: 8.7133e-04 eta: 5:05:32 time: 0.5894 data_time: 0.1311 memory: 12277 loss_text: 0.0917 loss_kernel: 0.0458 loss_embedding: 0.0321 loss: 0.1696 2022/08/26 15:45:48 - mmengine - INFO - Epoch(train) [86][10/63] lr: 8.7133e-04 eta: 5:05:17 time: 0.6125 data_time: 0.1381 memory: 12277 loss_text: 0.0946 loss_kernel: 0.0449 loss_embedding: 0.0306 loss: 0.1702 2022/08/26 15:45:50 - mmengine - INFO - Epoch(train) [86][15/63] lr: 8.7133e-04 eta: 5:05:17 time: 0.5036 data_time: 0.0293 memory: 12277 loss_text: 0.0875 loss_kernel: 0.0460 loss_embedding: 0.0301 loss: 0.1637 2022/08/26 15:45:53 - mmengine - INFO - Epoch(train) [86][20/63] lr: 8.7133e-04 eta: 5:05:08 time: 0.5116 data_time: 0.0269 memory: 12277 loss_text: 0.1049 loss_kernel: 0.0537 loss_embedding: 0.0323 loss: 0.1908 2022/08/26 15:45:55 - mmengine - INFO - Epoch(train) [86][25/63] lr: 8.7133e-04 eta: 5:05:08 time: 0.5112 data_time: 0.0238 memory: 12277 loss_text: 0.1082 loss_kernel: 0.0526 loss_embedding: 0.0355 loss: 0.1963 2022/08/26 15:45:58 - mmengine - INFO - Epoch(train) [86][30/63] lr: 8.7133e-04 eta: 5:04:59 time: 0.5149 data_time: 0.0267 memory: 12277 loss_text: 0.0942 loss_kernel: 0.0492 loss_embedding: 0.0314 loss: 0.1748 2022/08/26 15:46:01 - mmengine - INFO - Epoch(train) [86][35/63] lr: 8.7133e-04 eta: 5:04:59 time: 0.5500 data_time: 0.0308 memory: 12277 loss_text: 0.1061 loss_kernel: 0.0505 loss_embedding: 0.0263 loss: 0.1829 2022/08/26 15:46:04 - mmengine - INFO - Epoch(train) [86][40/63] lr: 8.7133e-04 eta: 5:04:52 time: 0.5430 data_time: 0.0245 memory: 12277 loss_text: 0.1097 loss_kernel: 0.0489 loss_embedding: 0.0324 loss: 0.1910 2022/08/26 15:46:06 - mmengine - INFO - Epoch(train) [86][45/63] lr: 8.7133e-04 eta: 5:04:52 time: 0.5117 data_time: 0.0199 memory: 12277 loss_text: 0.0969 loss_kernel: 0.0471 loss_embedding: 0.0329 loss: 0.1769 2022/08/26 15:46:09 - mmengine - INFO - Epoch(train) [86][50/63] lr: 8.7133e-04 eta: 5:04:43 time: 0.5032 data_time: 0.0239 memory: 12277 loss_text: 0.0864 loss_kernel: 0.0459 loss_embedding: 0.0283 loss: 0.1606 2022/08/26 15:46:11 - mmengine - INFO - Epoch(train) [86][55/63] lr: 8.7133e-04 eta: 5:04:43 time: 0.5018 data_time: 0.0245 memory: 12277 loss_text: 0.0953 loss_kernel: 0.0500 loss_embedding: 0.0278 loss: 0.1732 2022/08/26 15:46:14 - mmengine - INFO - Epoch(train) [86][60/63] lr: 8.7133e-04 eta: 5:04:33 time: 0.4981 data_time: 0.0195 memory: 12277 loss_text: 0.1040 loss_kernel: 0.0523 loss_embedding: 0.0269 loss: 0.1833 2022/08/26 15:46:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:46:18 - mmengine - INFO - Epoch(train) [87][5/63] lr: 8.6980e-04 eta: 5:04:33 time: 0.5548 data_time: 0.1141 memory: 12277 loss_text: 0.1023 loss_kernel: 0.0500 loss_embedding: 0.0263 loss: 0.1786 2022/08/26 15:46:21 - mmengine - INFO - Epoch(train) [87][10/63] lr: 8.6980e-04 eta: 5:04:19 time: 0.6118 data_time: 0.1270 memory: 12277 loss_text: 0.0922 loss_kernel: 0.0460 loss_embedding: 0.0256 loss: 0.1639 2022/08/26 15:46:24 - mmengine - INFO - Epoch(train) [87][15/63] lr: 8.6980e-04 eta: 5:04:19 time: 0.5288 data_time: 0.0318 memory: 12277 loss_text: 0.0893 loss_kernel: 0.0464 loss_embedding: 0.0292 loss: 0.1648 2022/08/26 15:46:26 - mmengine - INFO - Epoch(train) [87][20/63] lr: 8.6980e-04 eta: 5:04:09 time: 0.5017 data_time: 0.0227 memory: 12277 loss_text: 0.0877 loss_kernel: 0.0473 loss_embedding: 0.0289 loss: 0.1639 2022/08/26 15:46:28 - mmengine - INFO - Epoch(train) [87][25/63] lr: 8.6980e-04 eta: 5:04:09 time: 0.4933 data_time: 0.0219 memory: 12277 loss_text: 0.0901 loss_kernel: 0.0468 loss_embedding: 0.0274 loss: 0.1643 2022/08/26 15:46:31 - mmengine - INFO - Epoch(train) [87][30/63] lr: 8.6980e-04 eta: 5:04:00 time: 0.4918 data_time: 0.0261 memory: 12277 loss_text: 0.1061 loss_kernel: 0.0507 loss_embedding: 0.0296 loss: 0.1864 2022/08/26 15:46:33 - mmengine - INFO - Epoch(train) [87][35/63] lr: 8.6980e-04 eta: 5:04:00 time: 0.4932 data_time: 0.0261 memory: 12277 loss_text: 0.1056 loss_kernel: 0.0524 loss_embedding: 0.0315 loss: 0.1896 2022/08/26 15:46:36 - mmengine - INFO - Epoch(train) [87][40/63] lr: 8.6980e-04 eta: 5:03:50 time: 0.4963 data_time: 0.0206 memory: 12277 loss_text: 0.0925 loss_kernel: 0.0469 loss_embedding: 0.0307 loss: 0.1701 2022/08/26 15:46:39 - mmengine - INFO - Epoch(train) [87][45/63] lr: 8.6980e-04 eta: 5:03:50 time: 0.5135 data_time: 0.0212 memory: 12277 loss_text: 0.0978 loss_kernel: 0.0485 loss_embedding: 0.0266 loss: 0.1728 2022/08/26 15:46:41 - mmengine - INFO - Epoch(train) [87][50/63] lr: 8.6980e-04 eta: 5:03:43 time: 0.5405 data_time: 0.0281 memory: 12277 loss_text: 0.1044 loss_kernel: 0.0566 loss_embedding: 0.0270 loss: 0.1880 2022/08/26 15:46:44 - mmengine - INFO - Epoch(train) [87][55/63] lr: 8.6980e-04 eta: 5:03:43 time: 0.5237 data_time: 0.0295 memory: 12277 loss_text: 0.0968 loss_kernel: 0.0561 loss_embedding: 0.0275 loss: 0.1803 2022/08/26 15:46:46 - mmengine - INFO - Epoch(train) [87][60/63] lr: 8.6980e-04 eta: 5:03:33 time: 0.4959 data_time: 0.0214 memory: 12277 loss_text: 0.0996 loss_kernel: 0.0503 loss_embedding: 0.0261 loss: 0.1760 2022/08/26 15:46:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:46:51 - mmengine - INFO - Epoch(train) [88][5/63] lr: 8.6828e-04 eta: 5:03:33 time: 0.5796 data_time: 0.1215 memory: 12277 loss_text: 0.0836 loss_kernel: 0.0434 loss_embedding: 0.0256 loss: 0.1526 2022/08/26 15:46:54 - mmengine - INFO - Epoch(train) [88][10/63] lr: 8.6828e-04 eta: 5:03:19 time: 0.6115 data_time: 0.1297 memory: 12277 loss_text: 0.0844 loss_kernel: 0.0471 loss_embedding: 0.0239 loss: 0.1554 2022/08/26 15:46:56 - mmengine - INFO - Epoch(train) [88][15/63] lr: 8.6828e-04 eta: 5:03:19 time: 0.5036 data_time: 0.0259 memory: 12277 loss_text: 0.0929 loss_kernel: 0.0510 loss_embedding: 0.0235 loss: 0.1674 2022/08/26 15:46:59 - mmengine - INFO - Epoch(train) [88][20/63] lr: 8.6828e-04 eta: 5:03:09 time: 0.4976 data_time: 0.0203 memory: 12277 loss_text: 0.0985 loss_kernel: 0.0492 loss_embedding: 0.0254 loss: 0.1731 2022/08/26 15:47:01 - mmengine - INFO - Epoch(train) [88][25/63] lr: 8.6828e-04 eta: 5:03:09 time: 0.5156 data_time: 0.0229 memory: 12277 loss_text: 0.0923 loss_kernel: 0.0478 loss_embedding: 0.0247 loss: 0.1648 2022/08/26 15:47:04 - mmengine - INFO - Epoch(train) [88][30/63] lr: 8.6828e-04 eta: 5:03:01 time: 0.5211 data_time: 0.0291 memory: 12277 loss_text: 0.1005 loss_kernel: 0.0534 loss_embedding: 0.0236 loss: 0.1776 2022/08/26 15:47:06 - mmengine - INFO - Epoch(train) [88][35/63] lr: 8.6828e-04 eta: 5:03:01 time: 0.5141 data_time: 0.0260 memory: 12277 loss_text: 0.1025 loss_kernel: 0.0511 loss_embedding: 0.0256 loss: 0.1792 2022/08/26 15:47:09 - mmengine - INFO - Epoch(train) [88][40/63] lr: 8.6828e-04 eta: 5:02:53 time: 0.5175 data_time: 0.0209 memory: 12277 loss_text: 0.0984 loss_kernel: 0.0456 loss_embedding: 0.0269 loss: 0.1710 2022/08/26 15:47:12 - mmengine - INFO - Epoch(train) [88][45/63] lr: 8.6828e-04 eta: 5:02:53 time: 0.5142 data_time: 0.0216 memory: 12277 loss_text: 0.1174 loss_kernel: 0.0515 loss_embedding: 0.0288 loss: 0.1977 2022/08/26 15:47:14 - mmengine - INFO - Epoch(train) [88][50/63] lr: 8.6828e-04 eta: 5:02:44 time: 0.5109 data_time: 0.0296 memory: 12277 loss_text: 0.1184 loss_kernel: 0.0522 loss_embedding: 0.0301 loss: 0.2007 2022/08/26 15:47:17 - mmengine - INFO - Epoch(train) [88][55/63] lr: 8.6828e-04 eta: 5:02:44 time: 0.5044 data_time: 0.0298 memory: 12277 loss_text: 0.1068 loss_kernel: 0.0475 loss_embedding: 0.0288 loss: 0.1830 2022/08/26 15:47:19 - mmengine - INFO - Epoch(train) [88][60/63] lr: 8.6828e-04 eta: 5:02:34 time: 0.4911 data_time: 0.0195 memory: 12277 loss_text: 0.1104 loss_kernel: 0.0510 loss_embedding: 0.0279 loss: 0.1893 2022/08/26 15:47:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:47:24 - mmengine - INFO - Epoch(train) [89][5/63] lr: 8.6675e-04 eta: 5:02:34 time: 0.6438 data_time: 0.1487 memory: 12277 loss_text: 0.1041 loss_kernel: 0.0466 loss_embedding: 0.0277 loss: 0.1784 2022/08/26 15:47:27 - mmengine - INFO - Epoch(train) [89][10/63] lr: 8.6675e-04 eta: 5:02:21 time: 0.6342 data_time: 0.1565 memory: 12277 loss_text: 0.1097 loss_kernel: 0.0488 loss_embedding: 0.0257 loss: 0.1842 2022/08/26 15:47:29 - mmengine - INFO - Epoch(train) [89][15/63] lr: 8.6675e-04 eta: 5:02:21 time: 0.5012 data_time: 0.0243 memory: 12277 loss_text: 0.1166 loss_kernel: 0.0538 loss_embedding: 0.0276 loss: 0.1980 2022/08/26 15:47:32 - mmengine - INFO - Epoch(train) [89][20/63] lr: 8.6675e-04 eta: 5:02:13 time: 0.5087 data_time: 0.0203 memory: 12277 loss_text: 0.1147 loss_kernel: 0.0500 loss_embedding: 0.0262 loss: 0.1908 2022/08/26 15:47:35 - mmengine - INFO - Epoch(train) [89][25/63] lr: 8.6675e-04 eta: 5:02:13 time: 0.5121 data_time: 0.0239 memory: 12277 loss_text: 0.1077 loss_kernel: 0.0459 loss_embedding: 0.0280 loss: 0.1816 2022/08/26 15:47:37 - mmengine - INFO - Epoch(train) [89][30/63] lr: 8.6675e-04 eta: 5:02:04 time: 0.5071 data_time: 0.0273 memory: 12277 loss_text: 0.1019 loss_kernel: 0.0472 loss_embedding: 0.0305 loss: 0.1796 2022/08/26 15:47:40 - mmengine - INFO - Epoch(train) [89][35/63] lr: 8.6675e-04 eta: 5:02:04 time: 0.5144 data_time: 0.0267 memory: 12277 loss_text: 0.1012 loss_kernel: 0.0484 loss_embedding: 0.0274 loss: 0.1770 2022/08/26 15:47:42 - mmengine - INFO - Epoch(train) [89][40/63] lr: 8.6675e-04 eta: 5:01:56 time: 0.5167 data_time: 0.0229 memory: 12277 loss_text: 0.1093 loss_kernel: 0.0485 loss_embedding: 0.0283 loss: 0.1861 2022/08/26 15:47:45 - mmengine - INFO - Epoch(train) [89][45/63] lr: 8.6675e-04 eta: 5:01:56 time: 0.4990 data_time: 0.0214 memory: 12277 loss_text: 0.0991 loss_kernel: 0.0476 loss_embedding: 0.0253 loss: 0.1720 2022/08/26 15:47:47 - mmengine - INFO - Epoch(train) [89][50/63] lr: 8.6675e-04 eta: 5:01:46 time: 0.4947 data_time: 0.0276 memory: 12277 loss_text: 0.0930 loss_kernel: 0.0470 loss_embedding: 0.0218 loss: 0.1617 2022/08/26 15:47:50 - mmengine - INFO - Epoch(train) [89][55/63] lr: 8.6675e-04 eta: 5:01:46 time: 0.5121 data_time: 0.0259 memory: 12277 loss_text: 0.0904 loss_kernel: 0.0460 loss_embedding: 0.0264 loss: 0.1628 2022/08/26 15:47:53 - mmengine - INFO - Epoch(train) [89][60/63] lr: 8.6675e-04 eta: 5:01:39 time: 0.5358 data_time: 0.0185 memory: 12277 loss_text: 0.0895 loss_kernel: 0.0465 loss_embedding: 0.0298 loss: 0.1658 2022/08/26 15:47:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:47:57 - mmengine - INFO - Epoch(train) [90][5/63] lr: 8.6522e-04 eta: 5:01:39 time: 0.5546 data_time: 0.1059 memory: 12277 loss_text: 0.0815 loss_kernel: 0.0455 loss_embedding: 0.0261 loss: 0.1531 2022/08/26 15:48:00 - mmengine - INFO - Epoch(train) [90][10/63] lr: 8.6522e-04 eta: 5:01:22 time: 0.5686 data_time: 0.1089 memory: 12277 loss_text: 0.0940 loss_kernel: 0.0512 loss_embedding: 0.0239 loss: 0.1691 2022/08/26 15:48:02 - mmengine - INFO - Epoch(train) [90][15/63] lr: 8.6522e-04 eta: 5:01:22 time: 0.4950 data_time: 0.0235 memory: 12277 loss_text: 0.1130 loss_kernel: 0.0538 loss_embedding: 0.0267 loss: 0.1936 2022/08/26 15:48:05 - mmengine - INFO - Epoch(train) [90][20/63] lr: 8.6522e-04 eta: 5:01:13 time: 0.4989 data_time: 0.0200 memory: 12277 loss_text: 0.0973 loss_kernel: 0.0492 loss_embedding: 0.0293 loss: 0.1758 2022/08/26 15:48:07 - mmengine - INFO - Epoch(train) [90][25/63] lr: 8.6522e-04 eta: 5:01:13 time: 0.4982 data_time: 0.0224 memory: 12277 loss_text: 0.0925 loss_kernel: 0.0490 loss_embedding: 0.0282 loss: 0.1697 2022/08/26 15:48:10 - mmengine - INFO - Epoch(train) [90][30/63] lr: 8.6522e-04 eta: 5:01:04 time: 0.4997 data_time: 0.0213 memory: 12277 loss_text: 0.1073 loss_kernel: 0.0562 loss_embedding: 0.0302 loss: 0.1936 2022/08/26 15:48:12 - mmengine - INFO - Epoch(train) [90][35/63] lr: 8.6522e-04 eta: 5:01:04 time: 0.5156 data_time: 0.0273 memory: 12277 loss_text: 0.1056 loss_kernel: 0.0519 loss_embedding: 0.0274 loss: 0.1849 2022/08/26 15:48:15 - mmengine - INFO - Epoch(train) [90][40/63] lr: 8.6522e-04 eta: 5:00:56 time: 0.5143 data_time: 0.0288 memory: 12277 loss_text: 0.0951 loss_kernel: 0.0442 loss_embedding: 0.0229 loss: 0.1622 2022/08/26 15:48:17 - mmengine - INFO - Epoch(train) [90][45/63] lr: 8.6522e-04 eta: 5:00:56 time: 0.5034 data_time: 0.0232 memory: 12277 loss_text: 0.0998 loss_kernel: 0.0465 loss_embedding: 0.0277 loss: 0.1740 2022/08/26 15:48:20 - mmengine - INFO - Epoch(train) [90][50/63] lr: 8.6522e-04 eta: 5:00:47 time: 0.5106 data_time: 0.0213 memory: 12277 loss_text: 0.1004 loss_kernel: 0.0462 loss_embedding: 0.0280 loss: 0.1746 2022/08/26 15:48:23 - mmengine - INFO - Epoch(train) [90][55/63] lr: 8.6522e-04 eta: 5:00:47 time: 0.5231 data_time: 0.0259 memory: 12277 loss_text: 0.1055 loss_kernel: 0.0528 loss_embedding: 0.0250 loss: 0.1833 2022/08/26 15:48:25 - mmengine - INFO - Epoch(train) [90][60/63] lr: 8.6522e-04 eta: 5:00:40 time: 0.5264 data_time: 0.0276 memory: 12277 loss_text: 0.0977 loss_kernel: 0.0518 loss_embedding: 0.0250 loss: 0.1746 2022/08/26 15:48:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:48:30 - mmengine - INFO - Epoch(train) [91][5/63] lr: 8.6370e-04 eta: 5:00:40 time: 0.5872 data_time: 0.1247 memory: 12277 loss_text: 0.0930 loss_kernel: 0.0499 loss_embedding: 0.0251 loss: 0.1680 2022/08/26 15:48:33 - mmengine - INFO - Epoch(train) [91][10/63] lr: 8.6370e-04 eta: 5:00:26 time: 0.6155 data_time: 0.1410 memory: 12277 loss_text: 0.0970 loss_kernel: 0.0510 loss_embedding: 0.0255 loss: 0.1735 2022/08/26 15:48:35 - mmengine - INFO - Epoch(train) [91][15/63] lr: 8.6370e-04 eta: 5:00:26 time: 0.5252 data_time: 0.0339 memory: 12277 loss_text: 0.0958 loss_kernel: 0.0485 loss_embedding: 0.0267 loss: 0.1710 2022/08/26 15:48:38 - mmengine - INFO - Epoch(train) [91][20/63] lr: 8.6370e-04 eta: 5:00:17 time: 0.4980 data_time: 0.0187 memory: 12277 loss_text: 0.0969 loss_kernel: 0.0493 loss_embedding: 0.0246 loss: 0.1708 2022/08/26 15:48:40 - mmengine - INFO - Epoch(train) [91][25/63] lr: 8.6370e-04 eta: 5:00:17 time: 0.4814 data_time: 0.0195 memory: 12277 loss_text: 0.1061 loss_kernel: 0.0537 loss_embedding: 0.0246 loss: 0.1844 2022/08/26 15:48:43 - mmengine - INFO - Epoch(train) [91][30/63] lr: 8.6370e-04 eta: 5:00:08 time: 0.5136 data_time: 0.0318 memory: 12277 loss_text: 0.1093 loss_kernel: 0.0532 loss_embedding: 0.0282 loss: 0.1908 2022/08/26 15:48:45 - mmengine - INFO - Epoch(train) [91][35/63] lr: 8.6370e-04 eta: 5:00:08 time: 0.5189 data_time: 0.0325 memory: 12277 loss_text: 0.0983 loss_kernel: 0.0477 loss_embedding: 0.0283 loss: 0.1744 2022/08/26 15:48:48 - mmengine - INFO - Epoch(train) [91][40/63] lr: 8.6370e-04 eta: 5:00:00 time: 0.5154 data_time: 0.0211 memory: 12277 loss_text: 0.0933 loss_kernel: 0.0466 loss_embedding: 0.0296 loss: 0.1695 2022/08/26 15:48:50 - mmengine - INFO - Epoch(train) [91][45/63] lr: 8.6370e-04 eta: 5:00:00 time: 0.5176 data_time: 0.0207 memory: 12277 loss_text: 0.1157 loss_kernel: 0.0520 loss_embedding: 0.0301 loss: 0.1978 2022/08/26 15:48:53 - mmengine - INFO - Epoch(train) [91][50/63] lr: 8.6370e-04 eta: 4:59:50 time: 0.4863 data_time: 0.0240 memory: 12277 loss_text: 0.1147 loss_kernel: 0.0585 loss_embedding: 0.0268 loss: 0.2000 2022/08/26 15:48:55 - mmengine - INFO - Epoch(train) [91][55/63] lr: 8.6370e-04 eta: 4:59:50 time: 0.4875 data_time: 0.0244 memory: 12277 loss_text: 0.0965 loss_kernel: 0.0560 loss_embedding: 0.0267 loss: 0.1792 2022/08/26 15:48:58 - mmengine - INFO - Epoch(train) [91][60/63] lr: 8.6370e-04 eta: 4:59:41 time: 0.4983 data_time: 0.0207 memory: 12277 loss_text: 0.0942 loss_kernel: 0.0487 loss_embedding: 0.0270 loss: 0.1699 2022/08/26 15:48:59 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:49:03 - mmengine - INFO - Epoch(train) [92][5/63] lr: 8.6217e-04 eta: 4:59:41 time: 0.6484 data_time: 0.1737 memory: 12277 loss_text: 0.0809 loss_kernel: 0.0451 loss_embedding: 0.0285 loss: 0.1545 2022/08/26 15:49:06 - mmengine - INFO - Epoch(train) [92][10/63] lr: 8.6217e-04 eta: 4:59:31 time: 0.6750 data_time: 0.1785 memory: 12277 loss_text: 0.0932 loss_kernel: 0.0457 loss_embedding: 0.0309 loss: 0.1698 2022/08/26 15:49:08 - mmengine - INFO - Epoch(train) [92][15/63] lr: 8.6217e-04 eta: 4:59:31 time: 0.4979 data_time: 0.0255 memory: 12277 loss_text: 0.1066 loss_kernel: 0.0493 loss_embedding: 0.0297 loss: 0.1857 2022/08/26 15:49:11 - mmengine - INFO - Epoch(train) [92][20/63] lr: 8.6217e-04 eta: 4:59:22 time: 0.5038 data_time: 0.0227 memory: 12277 loss_text: 0.1045 loss_kernel: 0.0516 loss_embedding: 0.0274 loss: 0.1834 2022/08/26 15:49:13 - mmengine - INFO - Epoch(train) [92][25/63] lr: 8.6217e-04 eta: 4:59:22 time: 0.5012 data_time: 0.0246 memory: 12277 loss_text: 0.1041 loss_kernel: 0.0520 loss_embedding: 0.0272 loss: 0.1833 2022/08/26 15:49:16 - mmengine - INFO - Epoch(train) [92][30/63] lr: 8.6217e-04 eta: 4:59:13 time: 0.4932 data_time: 0.0250 memory: 12277 loss_text: 0.1113 loss_kernel: 0.0522 loss_embedding: 0.0286 loss: 0.1921 2022/08/26 15:49:18 - mmengine - INFO - Epoch(train) [92][35/63] lr: 8.6217e-04 eta: 4:59:13 time: 0.4958 data_time: 0.0237 memory: 12277 loss_text: 0.1138 loss_kernel: 0.0519 loss_embedding: 0.0324 loss: 0.1981 2022/08/26 15:49:21 - mmengine - INFO - Epoch(train) [92][40/63] lr: 8.6217e-04 eta: 4:59:06 time: 0.5421 data_time: 0.0247 memory: 12277 loss_text: 0.1041 loss_kernel: 0.0498 loss_embedding: 0.0306 loss: 0.1845 2022/08/26 15:49:24 - mmengine - INFO - Epoch(train) [92][45/63] lr: 8.6217e-04 eta: 4:59:06 time: 0.5342 data_time: 0.0280 memory: 12277 loss_text: 0.1078 loss_kernel: 0.0542 loss_embedding: 0.0281 loss: 0.1901 2022/08/26 15:49:26 - mmengine - INFO - Epoch(train) [92][50/63] lr: 8.6217e-04 eta: 4:58:57 time: 0.4882 data_time: 0.0282 memory: 12277 loss_text: 0.1095 loss_kernel: 0.0555 loss_embedding: 0.0302 loss: 0.1952 2022/08/26 15:49:29 - mmengine - INFO - Epoch(train) [92][55/63] lr: 8.6217e-04 eta: 4:58:57 time: 0.4969 data_time: 0.0252 memory: 12277 loss_text: 0.1021 loss_kernel: 0.0481 loss_embedding: 0.0300 loss: 0.1802 2022/08/26 15:49:31 - mmengine - INFO - Epoch(train) [92][60/63] lr: 8.6217e-04 eta: 4:58:48 time: 0.4999 data_time: 0.0208 memory: 12277 loss_text: 0.1043 loss_kernel: 0.0462 loss_embedding: 0.0286 loss: 0.1791 2022/08/26 15:49:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:49:36 - mmengine - INFO - Epoch(train) [93][5/63] lr: 8.6064e-04 eta: 4:58:48 time: 0.5837 data_time: 0.1353 memory: 12277 loss_text: 0.1001 loss_kernel: 0.0480 loss_embedding: 0.0243 loss: 0.1725 2022/08/26 15:49:38 - mmengine - INFO - Epoch(train) [93][10/63] lr: 8.6064e-04 eta: 4:58:34 time: 0.6099 data_time: 0.1410 memory: 12277 loss_text: 0.1125 loss_kernel: 0.0523 loss_embedding: 0.0273 loss: 0.1921 2022/08/26 15:49:41 - mmengine - INFO - Epoch(train) [93][15/63] lr: 8.6064e-04 eta: 4:58:34 time: 0.5349 data_time: 0.0244 memory: 12277 loss_text: 0.1194 loss_kernel: 0.0531 loss_embedding: 0.0303 loss: 0.2028 2022/08/26 15:49:44 - mmengine - INFO - Epoch(train) [93][20/63] lr: 8.6064e-04 eta: 4:58:27 time: 0.5440 data_time: 0.0197 memory: 12277 loss_text: 0.1120 loss_kernel: 0.0527 loss_embedding: 0.0278 loss: 0.1925 2022/08/26 15:49:46 - mmengine - INFO - Epoch(train) [93][25/63] lr: 8.6064e-04 eta: 4:58:27 time: 0.5077 data_time: 0.0221 memory: 12277 loss_text: 0.1090 loss_kernel: 0.0549 loss_embedding: 0.0287 loss: 0.1926 2022/08/26 15:49:49 - mmengine - INFO - Epoch(train) [93][30/63] lr: 8.6064e-04 eta: 4:58:19 time: 0.5084 data_time: 0.0252 memory: 12277 loss_text: 0.1096 loss_kernel: 0.0531 loss_embedding: 0.0308 loss: 0.1935 2022/08/26 15:49:51 - mmengine - INFO - Epoch(train) [93][35/63] lr: 8.6064e-04 eta: 4:58:19 time: 0.5111 data_time: 0.0251 memory: 12277 loss_text: 0.0986 loss_kernel: 0.0492 loss_embedding: 0.0273 loss: 0.1750 2022/08/26 15:49:54 - mmengine - INFO - Epoch(train) [93][40/63] lr: 8.6064e-04 eta: 4:58:10 time: 0.5016 data_time: 0.0221 memory: 12277 loss_text: 0.0937 loss_kernel: 0.0468 loss_embedding: 0.0264 loss: 0.1670 2022/08/26 15:49:56 - mmengine - INFO - Epoch(train) [93][45/63] lr: 8.6064e-04 eta: 4:58:10 time: 0.5028 data_time: 0.0201 memory: 12277 loss_text: 0.0988 loss_kernel: 0.0461 loss_embedding: 0.0289 loss: 0.1739 2022/08/26 15:49:59 - mmengine - INFO - Epoch(train) [93][50/63] lr: 8.6064e-04 eta: 4:58:01 time: 0.4967 data_time: 0.0237 memory: 12277 loss_text: 0.0968 loss_kernel: 0.0479 loss_embedding: 0.0264 loss: 0.1711 2022/08/26 15:50:02 - mmengine - INFO - Epoch(train) [93][55/63] lr: 8.6064e-04 eta: 4:58:01 time: 0.5102 data_time: 0.0255 memory: 12277 loss_text: 0.0975 loss_kernel: 0.0482 loss_embedding: 0.0264 loss: 0.1721 2022/08/26 15:50:04 - mmengine - INFO - Epoch(train) [93][60/63] lr: 8.6064e-04 eta: 4:57:53 time: 0.5203 data_time: 0.0219 memory: 12277 loss_text: 0.1051 loss_kernel: 0.0461 loss_embedding: 0.0303 loss: 0.1816 2022/08/26 15:50:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:50:09 - mmengine - INFO - Epoch(train) [94][5/63] lr: 8.5912e-04 eta: 4:57:53 time: 0.5945 data_time: 0.1333 memory: 12277 loss_text: 0.1150 loss_kernel: 0.0488 loss_embedding: 0.0252 loss: 0.1890 2022/08/26 15:50:12 - mmengine - INFO - Epoch(train) [94][10/63] lr: 8.5912e-04 eta: 4:57:41 time: 0.6307 data_time: 0.1416 memory: 12277 loss_text: 0.1151 loss_kernel: 0.0489 loss_embedding: 0.0246 loss: 0.1886 2022/08/26 15:50:14 - mmengine - INFO - Epoch(train) [94][15/63] lr: 8.5912e-04 eta: 4:57:41 time: 0.5058 data_time: 0.0315 memory: 12277 loss_text: 0.1004 loss_kernel: 0.0488 loss_embedding: 0.0263 loss: 0.1755 2022/08/26 15:50:17 - mmengine - INFO - Epoch(train) [94][20/63] lr: 8.5912e-04 eta: 4:57:32 time: 0.5032 data_time: 0.0242 memory: 12277 loss_text: 0.1042 loss_kernel: 0.0518 loss_embedding: 0.0246 loss: 0.1806 2022/08/26 15:50:19 - mmengine - INFO - Epoch(train) [94][25/63] lr: 8.5912e-04 eta: 4:57:32 time: 0.5229 data_time: 0.0183 memory: 12277 loss_text: 0.1038 loss_kernel: 0.0502 loss_embedding: 0.0268 loss: 0.1808 2022/08/26 15:50:22 - mmengine - INFO - Epoch(train) [94][30/63] lr: 8.5912e-04 eta: 4:57:25 time: 0.5201 data_time: 0.0235 memory: 12277 loss_text: 0.0928 loss_kernel: 0.0460 loss_embedding: 0.0261 loss: 0.1649 2022/08/26 15:50:24 - mmengine - INFO - Epoch(train) [94][35/63] lr: 8.5912e-04 eta: 4:57:25 time: 0.5052 data_time: 0.0253 memory: 12277 loss_text: 0.0935 loss_kernel: 0.0453 loss_embedding: 0.0254 loss: 0.1642 2022/08/26 15:50:27 - mmengine - INFO - Epoch(train) [94][40/63] lr: 8.5912e-04 eta: 4:57:16 time: 0.5138 data_time: 0.0215 memory: 12277 loss_text: 0.0921 loss_kernel: 0.0456 loss_embedding: 0.0258 loss: 0.1635 2022/08/26 15:50:29 - mmengine - INFO - Epoch(train) [94][45/63] lr: 8.5912e-04 eta: 4:57:16 time: 0.4963 data_time: 0.0198 memory: 12277 loss_text: 0.0890 loss_kernel: 0.0457 loss_embedding: 0.0233 loss: 0.1580 2022/08/26 15:50:32 - mmengine - INFO - Epoch(train) [94][50/63] lr: 8.5912e-04 eta: 4:57:08 time: 0.5071 data_time: 0.0251 memory: 12277 loss_text: 0.0976 loss_kernel: 0.0465 loss_embedding: 0.0262 loss: 0.1704 2022/08/26 15:50:35 - mmengine - INFO - Epoch(train) [94][55/63] lr: 8.5912e-04 eta: 4:57:08 time: 0.5164 data_time: 0.0275 memory: 12277 loss_text: 0.1041 loss_kernel: 0.0492 loss_embedding: 0.0271 loss: 0.1804 2022/08/26 15:50:37 - mmengine - INFO - Epoch(train) [94][60/63] lr: 8.5912e-04 eta: 4:56:59 time: 0.4870 data_time: 0.0216 memory: 12277 loss_text: 0.0970 loss_kernel: 0.0496 loss_embedding: 0.0268 loss: 0.1734 2022/08/26 15:50:38 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:50:42 - mmengine - INFO - Epoch(train) [95][5/63] lr: 8.5759e-04 eta: 4:56:59 time: 0.6100 data_time: 0.1295 memory: 12277 loss_text: 0.0944 loss_kernel: 0.0450 loss_embedding: 0.0246 loss: 0.1640 2022/08/26 15:50:45 - mmengine - INFO - Epoch(train) [95][10/63] lr: 8.5759e-04 eta: 4:56:47 time: 0.6430 data_time: 0.1342 memory: 12277 loss_text: 0.1024 loss_kernel: 0.0482 loss_embedding: 0.0248 loss: 0.1755 2022/08/26 15:50:47 - mmengine - INFO - Epoch(train) [95][15/63] lr: 8.5759e-04 eta: 4:56:47 time: 0.5022 data_time: 0.0260 memory: 12277 loss_text: 0.0990 loss_kernel: 0.0496 loss_embedding: 0.0281 loss: 0.1767 2022/08/26 15:50:50 - mmengine - INFO - Epoch(train) [95][20/63] lr: 8.5759e-04 eta: 4:56:38 time: 0.5021 data_time: 0.0210 memory: 12277 loss_text: 0.0899 loss_kernel: 0.0471 loss_embedding: 0.0280 loss: 0.1651 2022/08/26 15:50:52 - mmengine - INFO - Epoch(train) [95][25/63] lr: 8.5759e-04 eta: 4:56:38 time: 0.5210 data_time: 0.0322 memory: 12277 loss_text: 0.0960 loss_kernel: 0.0478 loss_embedding: 0.0236 loss: 0.1674 2022/08/26 15:50:55 - mmengine - INFO - Epoch(train) [95][30/63] lr: 8.5759e-04 eta: 4:56:31 time: 0.5188 data_time: 0.0393 memory: 12277 loss_text: 0.0953 loss_kernel: 0.0477 loss_embedding: 0.0235 loss: 0.1665 2022/08/26 15:50:57 - mmengine - INFO - Epoch(train) [95][35/63] lr: 8.5759e-04 eta: 4:56:31 time: 0.5078 data_time: 0.0289 memory: 12277 loss_text: 0.0877 loss_kernel: 0.0457 loss_embedding: 0.0239 loss: 0.1573 2022/08/26 15:51:00 - mmengine - INFO - Epoch(train) [95][40/63] lr: 8.5759e-04 eta: 4:56:22 time: 0.4983 data_time: 0.0222 memory: 12277 loss_text: 0.0856 loss_kernel: 0.0433 loss_embedding: 0.0227 loss: 0.1516 2022/08/26 15:51:02 - mmengine - INFO - Epoch(train) [95][45/63] lr: 8.5759e-04 eta: 4:56:22 time: 0.4894 data_time: 0.0198 memory: 12277 loss_text: 0.0888 loss_kernel: 0.0435 loss_embedding: 0.0267 loss: 0.1589 2022/08/26 15:51:05 - mmengine - INFO - Epoch(train) [95][50/63] lr: 8.5759e-04 eta: 4:56:13 time: 0.4924 data_time: 0.0208 memory: 12277 loss_text: 0.0860 loss_kernel: 0.0451 loss_embedding: 0.0257 loss: 0.1568 2022/08/26 15:51:07 - mmengine - INFO - Epoch(train) [95][55/63] lr: 8.5759e-04 eta: 4:56:13 time: 0.5087 data_time: 0.0313 memory: 12277 loss_text: 0.0859 loss_kernel: 0.0475 loss_embedding: 0.0248 loss: 0.1582 2022/08/26 15:51:10 - mmengine - INFO - Epoch(train) [95][60/63] lr: 8.5759e-04 eta: 4:56:04 time: 0.5086 data_time: 0.0294 memory: 12277 loss_text: 0.1005 loss_kernel: 0.0532 loss_embedding: 0.0278 loss: 0.1814 2022/08/26 15:51:12 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:51:15 - mmengine - INFO - Epoch(train) [96][5/63] lr: 8.5606e-04 eta: 4:56:04 time: 0.6417 data_time: 0.1463 memory: 12277 loss_text: 0.0946 loss_kernel: 0.0475 loss_embedding: 0.0217 loss: 0.1638 2022/08/26 15:51:18 - mmengine - INFO - Epoch(train) [96][10/63] lr: 8.5606e-04 eta: 4:55:52 time: 0.6310 data_time: 0.1504 memory: 12277 loss_text: 0.0846 loss_kernel: 0.0452 loss_embedding: 0.0243 loss: 0.1541 2022/08/26 15:51:20 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:51:20 - mmengine - INFO - Epoch(train) [96][15/63] lr: 8.5606e-04 eta: 4:55:52 time: 0.5157 data_time: 0.0260 memory: 12277 loss_text: 0.0794 loss_kernel: 0.0438 loss_embedding: 0.0266 loss: 0.1498 2022/08/26 15:51:23 - mmengine - INFO - Epoch(train) [96][20/63] lr: 8.5606e-04 eta: 4:55:44 time: 0.5089 data_time: 0.0195 memory: 12277 loss_text: 0.0831 loss_kernel: 0.0452 loss_embedding: 0.0241 loss: 0.1524 2022/08/26 15:51:26 - mmengine - INFO - Epoch(train) [96][25/63] lr: 8.5606e-04 eta: 4:55:44 time: 0.5147 data_time: 0.0203 memory: 12277 loss_text: 0.0869 loss_kernel: 0.0482 loss_embedding: 0.0265 loss: 0.1616 2022/08/26 15:51:28 - mmengine - INFO - Epoch(train) [96][30/63] lr: 8.5606e-04 eta: 4:55:36 time: 0.5188 data_time: 0.0255 memory: 12277 loss_text: 0.0892 loss_kernel: 0.0478 loss_embedding: 0.0297 loss: 0.1666 2022/08/26 15:51:31 - mmengine - INFO - Epoch(train) [96][35/63] lr: 8.5606e-04 eta: 4:55:36 time: 0.4935 data_time: 0.0244 memory: 12277 loss_text: 0.0944 loss_kernel: 0.0470 loss_embedding: 0.0238 loss: 0.1652 2022/08/26 15:51:33 - mmengine - INFO - Epoch(train) [96][40/63] lr: 8.5606e-04 eta: 4:55:27 time: 0.4895 data_time: 0.0214 memory: 12277 loss_text: 0.0932 loss_kernel: 0.0455 loss_embedding: 0.0227 loss: 0.1613 2022/08/26 15:51:36 - mmengine - INFO - Epoch(train) [96][45/63] lr: 8.5606e-04 eta: 4:55:27 time: 0.5001 data_time: 0.0235 memory: 12277 loss_text: 0.0858 loss_kernel: 0.0447 loss_embedding: 0.0271 loss: 0.1576 2022/08/26 15:51:38 - mmengine - INFO - Epoch(train) [96][50/63] lr: 8.5606e-04 eta: 4:55:18 time: 0.4952 data_time: 0.0200 memory: 12277 loss_text: 0.0912 loss_kernel: 0.0482 loss_embedding: 0.0258 loss: 0.1652 2022/08/26 15:51:41 - mmengine - INFO - Epoch(train) [96][55/63] lr: 8.5606e-04 eta: 4:55:18 time: 0.5166 data_time: 0.0243 memory: 12277 loss_text: 0.0968 loss_kernel: 0.0512 loss_embedding: 0.0221 loss: 0.1701 2022/08/26 15:51:43 - mmengine - INFO - Epoch(train) [96][60/63] lr: 8.5606e-04 eta: 4:55:11 time: 0.5270 data_time: 0.0300 memory: 12277 loss_text: 0.0932 loss_kernel: 0.0489 loss_embedding: 0.0238 loss: 0.1659 2022/08/26 15:51:45 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:51:48 - mmengine - INFO - Epoch(train) [97][5/63] lr: 8.5453e-04 eta: 4:55:11 time: 0.5866 data_time: 0.1220 memory: 12277 loss_text: 0.0914 loss_kernel: 0.0503 loss_embedding: 0.0229 loss: 0.1645 2022/08/26 15:51:51 - mmengine - INFO - Epoch(train) [97][10/63] lr: 8.5453e-04 eta: 4:54:59 time: 0.6405 data_time: 0.1302 memory: 12277 loss_text: 0.0996 loss_kernel: 0.0539 loss_embedding: 0.0207 loss: 0.1742 2022/08/26 15:51:53 - mmengine - INFO - Epoch(train) [97][15/63] lr: 8.5453e-04 eta: 4:54:59 time: 0.5281 data_time: 0.0265 memory: 12277 loss_text: 0.0977 loss_kernel: 0.0506 loss_embedding: 0.0244 loss: 0.1727 2022/08/26 15:51:56 - mmengine - INFO - Epoch(train) [97][20/63] lr: 8.5453e-04 eta: 4:54:50 time: 0.4922 data_time: 0.0185 memory: 12277 loss_text: 0.0914 loss_kernel: 0.0472 loss_embedding: 0.0278 loss: 0.1665 2022/08/26 15:51:58 - mmengine - INFO - Epoch(train) [97][25/63] lr: 8.5453e-04 eta: 4:54:50 time: 0.4917 data_time: 0.0203 memory: 12277 loss_text: 0.0882 loss_kernel: 0.0466 loss_embedding: 0.0281 loss: 0.1630 2022/08/26 15:52:01 - mmengine - INFO - Epoch(train) [97][30/63] lr: 8.5453e-04 eta: 4:54:43 time: 0.5257 data_time: 0.0291 memory: 12277 loss_text: 0.0916 loss_kernel: 0.0468 loss_embedding: 0.0264 loss: 0.1648 2022/08/26 15:52:04 - mmengine - INFO - Epoch(train) [97][35/63] lr: 8.5453e-04 eta: 4:54:43 time: 0.5290 data_time: 0.0283 memory: 12277 loss_text: 0.0983 loss_kernel: 0.0539 loss_embedding: 0.0246 loss: 0.1768 2022/08/26 15:52:06 - mmengine - INFO - Epoch(train) [97][40/63] lr: 8.5453e-04 eta: 4:54:34 time: 0.4992 data_time: 0.0212 memory: 12277 loss_text: 0.0849 loss_kernel: 0.0491 loss_embedding: 0.0237 loss: 0.1578 2022/08/26 15:52:09 - mmengine - INFO - Epoch(train) [97][45/63] lr: 8.5453e-04 eta: 4:54:34 time: 0.5006 data_time: 0.0221 memory: 12277 loss_text: 0.0777 loss_kernel: 0.0418 loss_embedding: 0.0243 loss: 0.1438 2022/08/26 15:52:11 - mmengine - INFO - Epoch(train) [97][50/63] lr: 8.5453e-04 eta: 4:54:27 time: 0.5241 data_time: 0.0306 memory: 12277 loss_text: 0.0777 loss_kernel: 0.0420 loss_embedding: 0.0245 loss: 0.1443 2022/08/26 15:52:14 - mmengine - INFO - Epoch(train) [97][55/63] lr: 8.5453e-04 eta: 4:54:27 time: 0.5281 data_time: 0.0294 memory: 12277 loss_text: 0.0868 loss_kernel: 0.0443 loss_embedding: 0.0240 loss: 0.1551 2022/08/26 15:52:17 - mmengine - INFO - Epoch(train) [97][60/63] lr: 8.5453e-04 eta: 4:54:19 time: 0.5166 data_time: 0.0210 memory: 12277 loss_text: 0.0927 loss_kernel: 0.0457 loss_embedding: 0.0226 loss: 0.1611 2022/08/26 15:52:18 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:52:22 - mmengine - INFO - Epoch(train) [98][5/63] lr: 8.5300e-04 eta: 4:54:19 time: 0.6134 data_time: 0.1477 memory: 12277 loss_text: 0.0863 loss_kernel: 0.0450 loss_embedding: 0.0268 loss: 0.1581 2022/08/26 15:52:25 - mmengine - INFO - Epoch(train) [98][10/63] lr: 8.5300e-04 eta: 4:54:09 time: 0.6623 data_time: 0.1536 memory: 12277 loss_text: 0.0925 loss_kernel: 0.0474 loss_embedding: 0.0253 loss: 0.1652 2022/08/26 15:52:27 - mmengine - INFO - Epoch(train) [98][15/63] lr: 8.5300e-04 eta: 4:54:09 time: 0.5360 data_time: 0.0308 memory: 12277 loss_text: 0.0913 loss_kernel: 0.0481 loss_embedding: 0.0218 loss: 0.1612 2022/08/26 15:52:30 - mmengine - INFO - Epoch(train) [98][20/63] lr: 8.5300e-04 eta: 4:54:01 time: 0.5179 data_time: 0.0322 memory: 12277 loss_text: 0.0889 loss_kernel: 0.0491 loss_embedding: 0.0227 loss: 0.1607 2022/08/26 15:52:32 - mmengine - INFO - Epoch(train) [98][25/63] lr: 8.5300e-04 eta: 4:54:01 time: 0.5196 data_time: 0.0300 memory: 12277 loss_text: 0.0921 loss_kernel: 0.0509 loss_embedding: 0.0246 loss: 0.1676 2022/08/26 15:52:35 - mmengine - INFO - Epoch(train) [98][30/63] lr: 8.5300e-04 eta: 4:53:54 time: 0.5261 data_time: 0.0446 memory: 12277 loss_text: 0.0859 loss_kernel: 0.0469 loss_embedding: 0.0262 loss: 0.1590 2022/08/26 15:52:38 - mmengine - INFO - Epoch(train) [98][35/63] lr: 8.5300e-04 eta: 4:53:54 time: 0.5310 data_time: 0.0477 memory: 12277 loss_text: 0.0929 loss_kernel: 0.0432 loss_embedding: 0.0258 loss: 0.1618 2022/08/26 15:52:40 - mmengine - INFO - Epoch(train) [98][40/63] lr: 8.5300e-04 eta: 4:53:46 time: 0.5024 data_time: 0.0301 memory: 12277 loss_text: 0.1024 loss_kernel: 0.0459 loss_embedding: 0.0238 loss: 0.1720 2022/08/26 15:52:43 - mmengine - INFO - Epoch(train) [98][45/63] lr: 8.5300e-04 eta: 4:53:46 time: 0.5039 data_time: 0.0291 memory: 12277 loss_text: 0.0933 loss_kernel: 0.0477 loss_embedding: 0.0262 loss: 0.1673 2022/08/26 15:52:45 - mmengine - INFO - Epoch(train) [98][50/63] lr: 8.5300e-04 eta: 4:53:39 time: 0.5275 data_time: 0.0484 memory: 12277 loss_text: 0.0916 loss_kernel: 0.0485 loss_embedding: 0.0293 loss: 0.1694 2022/08/26 15:52:48 - mmengine - INFO - Epoch(train) [98][55/63] lr: 8.5300e-04 eta: 4:53:39 time: 0.5221 data_time: 0.0573 memory: 12277 loss_text: 0.0880 loss_kernel: 0.0460 loss_embedding: 0.0252 loss: 0.1592 2022/08/26 15:52:50 - mmengine - INFO - Epoch(train) [98][60/63] lr: 8.5300e-04 eta: 4:53:30 time: 0.5041 data_time: 0.0381 memory: 12277 loss_text: 0.0769 loss_kernel: 0.0432 loss_embedding: 0.0218 loss: 0.1419 2022/08/26 15:52:52 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:52:55 - mmengine - INFO - Epoch(train) [99][5/63] lr: 8.5147e-04 eta: 4:53:30 time: 0.6045 data_time: 0.1471 memory: 12277 loss_text: 0.0820 loss_kernel: 0.0449 loss_embedding: 0.0237 loss: 0.1507 2022/08/26 15:52:58 - mmengine - INFO - Epoch(train) [99][10/63] lr: 8.5147e-04 eta: 4:53:19 time: 0.6505 data_time: 0.1682 memory: 12277 loss_text: 0.0878 loss_kernel: 0.0478 loss_embedding: 0.0246 loss: 0.1602 2022/08/26 15:53:01 - mmengine - INFO - Epoch(train) [99][15/63] lr: 8.5147e-04 eta: 4:53:19 time: 0.5197 data_time: 0.0482 memory: 12277 loss_text: 0.0868 loss_kernel: 0.0473 loss_embedding: 0.0242 loss: 0.1584 2022/08/26 15:53:03 - mmengine - INFO - Epoch(train) [99][20/63] lr: 8.5147e-04 eta: 4:53:11 time: 0.5025 data_time: 0.0312 memory: 12277 loss_text: 0.0874 loss_kernel: 0.0445 loss_embedding: 0.0241 loss: 0.1561 2022/08/26 15:53:06 - mmengine - INFO - Epoch(train) [99][25/63] lr: 8.5147e-04 eta: 4:53:11 time: 0.4977 data_time: 0.0323 memory: 12277 loss_text: 0.0912 loss_kernel: 0.0474 loss_embedding: 0.0240 loss: 0.1626 2022/08/26 15:53:08 - mmengine - INFO - Epoch(train) [99][30/63] lr: 8.5147e-04 eta: 4:53:04 time: 0.5300 data_time: 0.0502 memory: 12277 loss_text: 0.0875 loss_kernel: 0.0487 loss_embedding: 0.0219 loss: 0.1581 2022/08/26 15:53:11 - mmengine - INFO - Epoch(train) [99][35/63] lr: 8.5147e-04 eta: 4:53:04 time: 0.5241 data_time: 0.0497 memory: 12277 loss_text: 0.0834 loss_kernel: 0.0482 loss_embedding: 0.0222 loss: 0.1538 2022/08/26 15:53:13 - mmengine - INFO - Epoch(train) [99][40/63] lr: 8.5147e-04 eta: 4:52:56 time: 0.5005 data_time: 0.0337 memory: 12277 loss_text: 0.0844 loss_kernel: 0.0458 loss_embedding: 0.0239 loss: 0.1542 2022/08/26 15:53:16 - mmengine - INFO - Epoch(train) [99][45/63] lr: 8.5147e-04 eta: 4:52:56 time: 0.5203 data_time: 0.0349 memory: 12277 loss_text: 0.0836 loss_kernel: 0.0419 loss_embedding: 0.0209 loss: 0.1464 2022/08/26 15:53:19 - mmengine - INFO - Epoch(train) [99][50/63] lr: 8.5147e-04 eta: 4:52:49 time: 0.5316 data_time: 0.0488 memory: 12277 loss_text: 0.0891 loss_kernel: 0.0448 loss_embedding: 0.0242 loss: 0.1581 2022/08/26 15:53:21 - mmengine - INFO - Epoch(train) [99][55/63] lr: 8.5147e-04 eta: 4:52:49 time: 0.5370 data_time: 0.0473 memory: 12277 loss_text: 0.0962 loss_kernel: 0.0492 loss_embedding: 0.0265 loss: 0.1720 2022/08/26 15:53:24 - mmengine - INFO - Epoch(train) [99][60/63] lr: 8.5147e-04 eta: 4:52:42 time: 0.5251 data_time: 0.0318 memory: 12277 loss_text: 0.0860 loss_kernel: 0.0464 loss_embedding: 0.0258 loss: 0.1581 2022/08/26 15:53:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:53:29 - mmengine - INFO - Epoch(train) [100][5/63] lr: 8.4994e-04 eta: 4:52:42 time: 0.6153 data_time: 0.1484 memory: 12277 loss_text: 0.0788 loss_kernel: 0.0428 loss_embedding: 0.0236 loss: 0.1453 2022/08/26 15:53:32 - mmengine - INFO - Epoch(train) [100][10/63] lr: 8.4994e-04 eta: 4:52:32 time: 0.6716 data_time: 0.1613 memory: 12277 loss_text: 0.0942 loss_kernel: 0.0516 loss_embedding: 0.0235 loss: 0.1693 2022/08/26 15:53:35 - mmengine - INFO - Epoch(train) [100][15/63] lr: 8.4994e-04 eta: 4:52:32 time: 0.5365 data_time: 0.0440 memory: 12277 loss_text: 0.0995 loss_kernel: 0.0522 loss_embedding: 0.0246 loss: 0.1764 2022/08/26 15:53:37 - mmengine - INFO - Epoch(train) [100][20/63] lr: 8.4994e-04 eta: 4:52:25 time: 0.5322 data_time: 0.0325 memory: 12277 loss_text: 0.0898 loss_kernel: 0.0455 loss_embedding: 0.0253 loss: 0.1606 2022/08/26 15:53:40 - mmengine - INFO - Epoch(train) [100][25/63] lr: 8.4994e-04 eta: 4:52:25 time: 0.5306 data_time: 0.0318 memory: 12277 loss_text: 0.0863 loss_kernel: 0.0452 loss_embedding: 0.0247 loss: 0.1561 2022/08/26 15:53:43 - mmengine - INFO - Epoch(train) [100][30/63] lr: 8.4994e-04 eta: 4:52:18 time: 0.5290 data_time: 0.0465 memory: 12277 loss_text: 0.1010 loss_kernel: 0.0525 loss_embedding: 0.0223 loss: 0.1757 2022/08/26 15:53:45 - mmengine - INFO - Epoch(train) [100][35/63] lr: 8.4994e-04 eta: 4:52:18 time: 0.5200 data_time: 0.0466 memory: 12277 loss_text: 0.1038 loss_kernel: 0.0542 loss_embedding: 0.0217 loss: 0.1797 2022/08/26 15:53:48 - mmengine - INFO - Epoch(train) [100][40/63] lr: 8.4994e-04 eta: 4:52:10 time: 0.4983 data_time: 0.0298 memory: 12277 loss_text: 0.0890 loss_kernel: 0.0465 loss_embedding: 0.0256 loss: 0.1611 2022/08/26 15:53:50 - mmengine - INFO - Epoch(train) [100][45/63] lr: 8.4994e-04 eta: 4:52:10 time: 0.5052 data_time: 0.0287 memory: 12277 loss_text: 0.0881 loss_kernel: 0.0475 loss_embedding: 0.0305 loss: 0.1660 2022/08/26 15:53:53 - mmengine - INFO - Epoch(train) [100][50/63] lr: 8.4994e-04 eta: 4:52:03 time: 0.5355 data_time: 0.0460 memory: 12277 loss_text: 0.0900 loss_kernel: 0.0504 loss_embedding: 0.0261 loss: 0.1665 2022/08/26 15:53:55 - mmengine - INFO - Epoch(train) [100][55/63] lr: 8.4994e-04 eta: 4:52:03 time: 0.5321 data_time: 0.0487 memory: 12277 loss_text: 0.0915 loss_kernel: 0.0492 loss_embedding: 0.0211 loss: 0.1619 2022/08/26 15:53:58 - mmengine - INFO - Epoch(train) [100][60/63] lr: 8.4994e-04 eta: 4:51:54 time: 0.4905 data_time: 0.0337 memory: 12277 loss_text: 0.0865 loss_kernel: 0.0462 loss_embedding: 0.0234 loss: 0.1562 2022/08/26 15:53:59 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:53:59 - mmengine - INFO - Saving checkpoint at 100 epochs 2022/08/26 15:54:03 - mmengine - INFO - Epoch(val) [100][5/500] eta: 4:51:54 time: 0.0296 data_time: 0.0036 memory: 12277 2022/08/26 15:54:03 - mmengine - INFO - Epoch(val) [100][10/500] eta: 0:00:17 time: 0.0351 data_time: 0.0036 memory: 497 2022/08/26 15:54:03 - mmengine - INFO - Epoch(val) [100][15/500] eta: 0:00:17 time: 0.0238 data_time: 0.0014 memory: 539 2022/08/26 15:54:03 - mmengine - INFO - Epoch(val) [100][20/500] eta: 0:00:10 time: 0.0215 data_time: 0.0015 memory: 497 2022/08/26 15:54:03 - mmengine - INFO - Epoch(val) [100][25/500] eta: 0:00:10 time: 0.0208 data_time: 0.0015 memory: 505 2022/08/26 15:54:03 - mmengine - INFO - Epoch(val) [100][30/500] eta: 0:00:09 time: 0.0192 data_time: 0.0013 memory: 516 2022/08/26 15:54:04 - mmengine - INFO - Epoch(val) [100][35/500] eta: 0:00:09 time: 0.0199 data_time: 0.0013 memory: 497 2022/08/26 15:54:04 - mmengine - INFO - Epoch(val) [100][40/500] eta: 0:00:10 time: 0.0221 data_time: 0.0014 memory: 497 2022/08/26 15:54:04 - mmengine - INFO - Epoch(val) [100][45/500] eta: 0:00:10 time: 0.0192 data_time: 0.0016 memory: 480 2022/08/26 15:54:04 - mmengine - INFO - Epoch(val) [100][50/500] eta: 0:00:08 time: 0.0184 data_time: 0.0016 memory: 539 2022/08/26 15:54:04 - mmengine - INFO - Epoch(val) [100][55/500] eta: 0:00:08 time: 0.0197 data_time: 0.0015 memory: 561 2022/08/26 15:54:04 - mmengine - INFO - Epoch(val) [100][60/500] eta: 0:00:08 time: 0.0201 data_time: 0.0015 memory: 497 2022/08/26 15:54:04 - mmengine - INFO - Epoch(val) [100][65/500] eta: 0:00:08 time: 0.0202 data_time: 0.0015 memory: 597 2022/08/26 15:54:04 - mmengine - INFO - Epoch(val) [100][70/500] eta: 0:00:07 time: 0.0173 data_time: 0.0015 memory: 497 2022/08/26 15:54:04 - mmengine - INFO - Epoch(val) [100][75/500] eta: 0:00:07 time: 0.0257 data_time: 0.0015 memory: 556 2022/08/26 15:54:04 - mmengine - INFO - Epoch(val) [100][80/500] eta: 0:00:11 time: 0.0262 data_time: 0.0016 memory: 497 2022/08/26 15:54:05 - mmengine - INFO - Epoch(val) [100][85/500] eta: 0:00:11 time: 0.0195 data_time: 0.0015 memory: 564 2022/08/26 15:54:05 - mmengine - INFO - Epoch(val) [100][90/500] eta: 0:00:08 time: 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memory: 539 2022/08/26 15:54:06 - mmengine - INFO - Epoch(val) [100][135/500] eta: 0:00:06 time: 0.0170 data_time: 0.0013 memory: 497 2022/08/26 15:54:06 - mmengine - INFO - Epoch(val) [100][140/500] eta: 0:00:06 time: 0.0191 data_time: 0.0026 memory: 480 2022/08/26 15:54:06 - mmengine - INFO - Epoch(val) [100][145/500] eta: 0:00:06 time: 0.0204 data_time: 0.0028 memory: 751 2022/08/26 15:54:06 - mmengine - INFO - Epoch(val) [100][150/500] eta: 0:00:06 time: 0.0180 data_time: 0.0013 memory: 464 2022/08/26 15:54:06 - mmengine - INFO - Epoch(val) [100][155/500] eta: 0:00:06 time: 0.0169 data_time: 0.0012 memory: 516 2022/08/26 15:54:06 - mmengine - INFO - Epoch(val) [100][160/500] eta: 0:00:05 time: 0.0168 data_time: 0.0013 memory: 539 2022/08/26 15:54:06 - mmengine - INFO - Epoch(val) [100][165/500] eta: 0:00:05 time: 0.0165 data_time: 0.0015 memory: 497 2022/08/26 15:54:06 - mmengine - INFO - Epoch(val) [100][170/500] eta: 0:00:05 time: 0.0174 data_time: 0.0015 memory: 514 2022/08/26 15:54:06 - mmengine - INFO - Epoch(val) [100][175/500] eta: 0:00:05 time: 0.0157 data_time: 0.0014 memory: 539 2022/08/26 15:54:06 - mmengine - INFO - Epoch(val) [100][180/500] eta: 0:00:04 time: 0.0154 data_time: 0.0014 memory: 539 2022/08/26 15:54:06 - mmengine - INFO - Epoch(val) [100][185/500] eta: 0:00:04 time: 0.0165 data_time: 0.0014 memory: 489 2022/08/26 15:54:06 - mmengine - INFO - Epoch(val) [100][190/500] eta: 0:00:04 time: 0.0160 data_time: 0.0014 memory: 516 2022/08/26 15:54:07 - mmengine - INFO - Epoch(val) [100][195/500] eta: 0:00:04 time: 0.0159 data_time: 0.0014 memory: 516 2022/08/26 15:54:07 - mmengine - INFO - Epoch(val) [100][200/500] eta: 0:00:04 time: 0.0161 data_time: 0.0015 memory: 516 2022/08/26 15:54:07 - mmengine - INFO - Epoch(val) [100][205/500] eta: 0:00:04 time: 0.0172 data_time: 0.0014 memory: 664 2022/08/26 15:54:07 - mmengine - INFO - Epoch(val) [100][210/500] eta: 0:00:04 time: 0.0169 data_time: 0.0013 memory: 497 2022/08/26 15:54:07 - mmengine - INFO - Epoch(val) [100][215/500] eta: 0:00:04 time: 0.0157 data_time: 0.0013 memory: 514 2022/08/26 15:54:07 - mmengine - INFO - Epoch(val) [100][220/500] eta: 0:00:04 time: 0.0162 data_time: 0.0014 memory: 572 2022/08/26 15:54:07 - mmengine - INFO - Epoch(val) [100][225/500] eta: 0:00:04 time: 0.0153 data_time: 0.0013 memory: 497 2022/08/26 15:54:07 - mmengine - INFO - Epoch(val) [100][230/500] eta: 0:00:06 time: 0.0237 data_time: 0.0013 memory: 507 2022/08/26 15:54:07 - mmengine - INFO - Epoch(val) [100][235/500] eta: 0:00:06 time: 0.0272 data_time: 0.0030 memory: 497 2022/08/26 15:54:07 - mmengine - INFO - Epoch(val) [100][240/500] eta: 0:00:05 time: 0.0201 data_time: 0.0030 memory: 497 2022/08/26 15:54:08 - mmengine - INFO - Epoch(val) [100][245/500] eta: 0:00:05 time: 0.0182 data_time: 0.0012 memory: 648 2022/08/26 15:54:08 - mmengine - INFO - Epoch(val) [100][250/500] eta: 0:00:04 time: 0.0181 data_time: 0.0012 memory: 497 2022/08/26 15:54:08 - mmengine - INFO - Epoch(val) [100][255/500] eta: 0:00:04 time: 0.0331 data_time: 0.0014 memory: 543 2022/08/26 15:54:08 - mmengine - INFO - Epoch(val) [100][260/500] eta: 0:00:07 time: 0.0318 data_time: 0.0015 memory: 516 2022/08/26 15:54:08 - mmengine - INFO - Epoch(val) [100][265/500] eta: 0:00:07 time: 0.0183 data_time: 0.0015 memory: 622 2022/08/26 15:54:08 - mmengine - INFO - Epoch(val) [100][270/500] eta: 0:00:04 time: 0.0187 data_time: 0.0015 memory: 505 2022/08/26 15:54:08 - mmengine - INFO - Epoch(val) [100][275/500] eta: 0:00:04 time: 0.0207 data_time: 0.0014 memory: 539 2022/08/26 15:54:08 - mmengine - INFO - Epoch(val) [100][280/500] eta: 0:00:04 time: 0.0191 data_time: 0.0014 memory: 473 2022/08/26 15:54:08 - mmengine - INFO - Epoch(val) [100][285/500] eta: 0:00:04 time: 0.0185 data_time: 0.0015 memory: 481 2022/08/26 15:54:09 - mmengine - INFO - Epoch(val) [100][290/500] eta: 0:00:04 time: 0.0235 data_time: 0.0015 memory: 464 2022/08/26 15:54:09 - mmengine - INFO - Epoch(val) [100][295/500] eta: 0:00:04 time: 0.0199 data_time: 0.0014 memory: 489 2022/08/26 15:54:09 - mmengine - INFO - Epoch(val) [100][300/500] eta: 0:00:03 time: 0.0158 data_time: 0.0014 memory: 497 2022/08/26 15:54:09 - mmengine - INFO - Epoch(val) [100][305/500] eta: 0:00:03 time: 0.0161 data_time: 0.0014 memory: 597 2022/08/26 15:54:09 - mmengine - INFO - Epoch(val) [100][310/500] eta: 0:00:04 time: 0.0220 data_time: 0.0015 memory: 606 2022/08/26 15:54:09 - mmengine - INFO - Epoch(val) [100][315/500] eta: 0:00:04 time: 0.0227 data_time: 0.0014 memory: 539 2022/08/26 15:54:09 - mmengine - INFO - Epoch(val) [100][320/500] eta: 0:00:04 time: 0.0239 data_time: 0.0014 memory: 499 2022/08/26 15:54:09 - mmengine - INFO - Epoch(val) [100][325/500] eta: 0:00:04 time: 0.0228 data_time: 0.0015 memory: 497 2022/08/26 15:54:09 - mmengine - INFO - Epoch(val) [100][330/500] eta: 0:00:02 time: 0.0171 data_time: 0.0014 memory: 497 2022/08/26 15:54:09 - mmengine - INFO - Epoch(val) [100][335/500] eta: 0:00:02 time: 0.0185 data_time: 0.0013 memory: 497 2022/08/26 15:54:10 - mmengine - INFO - Epoch(val) [100][340/500] eta: 0:00:03 time: 0.0188 data_time: 0.0013 memory: 522 2022/08/26 15:54:10 - mmengine - INFO - Epoch(val) [100][345/500] eta: 0:00:03 time: 0.0188 data_time: 0.0013 memory: 572 2022/08/26 15:54:10 - mmengine - INFO - Epoch(val) [100][350/500] eta: 0:00:03 time: 0.0240 data_time: 0.0014 memory: 499 2022/08/26 15:54:10 - mmengine - INFO - Epoch(val) [100][355/500] eta: 0:00:03 time: 0.0277 data_time: 0.0015 memory: 525 2022/08/26 15:54:10 - mmengine - INFO - Epoch(val) [100][360/500] eta: 0:00:03 time: 0.0223 data_time: 0.0016 memory: 525 2022/08/26 15:54:10 - mmengine - INFO - Epoch(val) [100][365/500] eta: 0:00:03 time: 0.0202 data_time: 0.0017 memory: 707 2022/08/26 15:54:10 - mmengine - INFO - Epoch(val) [100][370/500] eta: 0:00:02 time: 0.0190 data_time: 0.0014 memory: 539 2022/08/26 15:54:10 - mmengine - INFO - Epoch(val) [100][375/500] eta: 0:00:02 time: 0.0187 data_time: 0.0014 memory: 765 2022/08/26 15:54:10 - mmengine - INFO - Epoch(val) [100][380/500] eta: 0:00:02 time: 0.0216 data_time: 0.0018 memory: 572 2022/08/26 15:54:10 - mmengine - INFO - Epoch(val) [100][385/500] eta: 0:00:02 time: 0.0205 data_time: 0.0016 memory: 497 2022/08/26 15:54:11 - mmengine - INFO - Epoch(val) [100][390/500] eta: 0:00:02 time: 0.0221 data_time: 0.0016 memory: 539 2022/08/26 15:54:11 - mmengine - INFO - Epoch(val) [100][395/500] eta: 0:00:02 time: 0.0294 data_time: 0.0023 memory: 489 2022/08/26 15:54:11 - mmengine - INFO - Epoch(val) [100][400/500] eta: 0:00:02 time: 0.0273 data_time: 0.0022 memory: 497 2022/08/26 15:54:11 - mmengine - INFO - Epoch(val) [100][405/500] eta: 0:00:02 time: 0.0186 data_time: 0.0016 memory: 497 2022/08/26 15:54:11 - mmengine - INFO - Epoch(val) [100][410/500] eta: 0:00:01 time: 0.0180 data_time: 0.0015 memory: 497 2022/08/26 15:54:11 - mmengine - INFO - Epoch(val) [100][415/500] eta: 0:00:01 time: 0.0279 data_time: 0.0017 memory: 497 2022/08/26 15:54:11 - mmengine - INFO - Epoch(val) [100][420/500] eta: 0:00:02 time: 0.0290 data_time: 0.0017 memory: 497 2022/08/26 15:54:11 - mmengine - INFO - Epoch(val) [100][425/500] eta: 0:00:02 time: 0.0214 data_time: 0.0015 memory: 489 2022/08/26 15:54:12 - mmengine - INFO - Epoch(val) [100][430/500] eta: 0:00:01 time: 0.0204 data_time: 0.0015 memory: 516 2022/08/26 15:54:12 - mmengine - INFO - Epoch(val) [100][435/500] eta: 0:00:01 time: 0.0208 data_time: 0.0014 memory: 681 2022/08/26 15:54:12 - mmengine - INFO - Epoch(val) [100][440/500] eta: 0:00:01 time: 0.0211 data_time: 0.0013 memory: 539 2022/08/26 15:54:12 - mmengine - INFO - Epoch(val) [100][445/500] eta: 0:00:01 time: 0.0246 data_time: 0.0014 memory: 489 2022/08/26 15:54:12 - mmengine - INFO - Epoch(val) [100][450/500] eta: 0:00:01 time: 0.0238 data_time: 0.0014 memory: 507 2022/08/26 15:54:12 - mmengine - INFO - Epoch(val) [100][455/500] eta: 0:00:01 time: 0.0198 data_time: 0.0014 memory: 606 2022/08/26 15:54:12 - mmengine - INFO - Epoch(val) [100][460/500] eta: 0:00:00 time: 0.0197 data_time: 0.0014 memory: 499 2022/08/26 15:54:12 - mmengine - INFO - Epoch(val) [100][465/500] eta: 0:00:00 time: 0.0184 data_time: 0.0014 memory: 539 2022/08/26 15:54:12 - mmengine - INFO - Epoch(val) [100][470/500] eta: 0:00:00 time: 0.0165 data_time: 0.0014 memory: 516 2022/08/26 15:54:12 - mmengine - INFO - Epoch(val) [100][475/500] eta: 0:00:00 time: 0.0160 data_time: 0.0014 memory: 507 2022/08/26 15:54:13 - mmengine - INFO - Epoch(val) [100][480/500] eta: 0:00:00 time: 0.0154 data_time: 0.0014 memory: 464 2022/08/26 15:54:13 - mmengine - INFO - Epoch(val) [100][485/500] eta: 0:00:00 time: 0.0147 data_time: 0.0014 memory: 497 2022/08/26 15:54:13 - mmengine - INFO - Epoch(val) [100][490/500] eta: 0:00:00 time: 0.0146 data_time: 0.0014 memory: 497 2022/08/26 15:54:13 - mmengine - INFO - Epoch(val) [100][495/500] eta: 0:00:00 time: 0.0142 data_time: 0.0013 memory: 480 2022/08/26 15:54:13 - mmengine - INFO - Epoch(val) [100][500/500] eta: 0:00:00 time: 0.0147 data_time: 0.0013 memory: 522 2022/08/26 15:54:13 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 15:54:13 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7447, precision: 0.6216, hmean: 0.6776 2022/08/26 15:54:13 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7447, precision: 0.6216, hmean: 0.6776 2022/08/26 15:54:13 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7447, precision: 0.6216, hmean: 0.6776 2022/08/26 15:54:13 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7447, precision: 0.6216, hmean: 0.6776 2022/08/26 15:54:13 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7447, precision: 0.6216, hmean: 0.6776 2022/08/26 15:54:13 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7447, precision: 0.6276, hmean: 0.6811 2022/08/26 15:54:13 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7447, precision: 0.6545, hmean: 0.6967 2022/08/26 15:54:13 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7441, precision: 0.6834, hmean: 0.7124 2022/08/26 15:54:13 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7428, precision: 0.7129, hmean: 0.7275 2022/08/26 15:54:13 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7385, precision: 0.7397, hmean: 0.7391 2022/08/26 15:54:13 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7314, precision: 0.7686, hmean: 0.7495 2022/08/26 15:54:13 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7148, precision: 0.7970, hmean: 0.7536 2022/08/26 15:54:13 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6673, precision: 0.8311, hmean: 0.7403 2022/08/26 15:54:13 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.3828, precision: 0.8985, hmean: 0.5368 2022/08/26 15:54:13 - mmengine - INFO - Epoch(val) [100][500/500] icdar/precision: 0.7970 icdar/recall: 0.7148 icdar/hmean: 0.7536 2022/08/26 15:54:17 - mmengine - INFO - Epoch(train) [101][5/63] lr: 8.4841e-04 eta: 0:00:00 time: 0.5796 data_time: 0.1255 memory: 12277 loss_text: 0.1056 loss_kernel: 0.0459 loss_embedding: 0.0267 loss: 0.1782 2022/08/26 15:54:19 - mmengine - INFO - Epoch(train) [101][10/63] lr: 8.4841e-04 eta: 4:51:42 time: 0.6149 data_time: 0.1319 memory: 12277 loss_text: 0.0967 loss_kernel: 0.0444 loss_embedding: 0.0241 loss: 0.1653 2022/08/26 15:54:22 - mmengine - INFO - Epoch(train) [101][15/63] lr: 8.4841e-04 eta: 4:51:42 time: 0.5089 data_time: 0.0317 memory: 12277 loss_text: 0.0950 loss_kernel: 0.0467 loss_embedding: 0.0250 loss: 0.1667 2022/08/26 15:54:24 - mmengine - INFO - Epoch(train) [101][20/63] lr: 8.4841e-04 eta: 4:51:33 time: 0.5005 data_time: 0.0279 memory: 12277 loss_text: 0.0986 loss_kernel: 0.0506 loss_embedding: 0.0245 loss: 0.1737 2022/08/26 15:54:27 - mmengine - INFO - Epoch(train) [101][25/63] lr: 8.4841e-04 eta: 4:51:33 time: 0.5118 data_time: 0.0446 memory: 12277 loss_text: 0.1010 loss_kernel: 0.0511 loss_embedding: 0.0224 loss: 0.1745 2022/08/26 15:54:30 - mmengine - INFO - Epoch(train) [101][30/63] lr: 8.4841e-04 eta: 4:51:26 time: 0.5242 data_time: 0.0524 memory: 12277 loss_text: 0.0993 loss_kernel: 0.0530 loss_embedding: 0.0232 loss: 0.1755 2022/08/26 15:54:32 - mmengine - INFO - Epoch(train) [101][35/63] lr: 8.4841e-04 eta: 4:51:26 time: 0.5220 data_time: 0.0367 memory: 12277 loss_text: 0.0928 loss_kernel: 0.0520 loss_embedding: 0.0233 loss: 0.1681 2022/08/26 15:54:35 - mmengine - INFO - Epoch(train) [101][40/63] lr: 8.4841e-04 eta: 4:51:18 time: 0.5049 data_time: 0.0273 memory: 12277 loss_text: 0.1027 loss_kernel: 0.0512 loss_embedding: 0.0237 loss: 0.1776 2022/08/26 15:54:37 - mmengine - INFO - Epoch(train) [101][45/63] lr: 8.4841e-04 eta: 4:51:18 time: 0.4976 data_time: 0.0418 memory: 12277 loss_text: 0.1123 loss_kernel: 0.0520 loss_embedding: 0.0287 loss: 0.1930 2022/08/26 15:54:40 - mmengine - INFO - Epoch(train) [101][50/63] lr: 8.4841e-04 eta: 4:51:10 time: 0.5051 data_time: 0.0415 memory: 12277 loss_text: 0.0920 loss_kernel: 0.0477 loss_embedding: 0.0286 loss: 0.1683 2022/08/26 15:54:42 - mmengine - INFO - Epoch(train) [101][55/63] lr: 8.4841e-04 eta: 4:51:10 time: 0.5203 data_time: 0.0304 memory: 12277 loss_text: 0.0915 loss_kernel: 0.0479 loss_embedding: 0.0239 loss: 0.1632 2022/08/26 15:54:45 - mmengine - INFO - Epoch(train) [101][60/63] lr: 8.4841e-04 eta: 4:51:03 time: 0.5180 data_time: 0.0329 memory: 12277 loss_text: 0.1112 loss_kernel: 0.0511 loss_embedding: 0.0220 loss: 0.1844 2022/08/26 15:54:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:54:50 - mmengine - INFO - Epoch(train) [102][5/63] lr: 8.4688e-04 eta: 4:51:03 time: 0.6038 data_time: 0.1583 memory: 12277 loss_text: 0.0957 loss_kernel: 0.0484 loss_embedding: 0.0209 loss: 0.1650 2022/08/26 15:54:53 - mmengine - INFO - Epoch(train) [102][10/63] lr: 8.4688e-04 eta: 4:50:53 time: 0.6754 data_time: 0.1522 memory: 12277 loss_text: 0.0811 loss_kernel: 0.0498 loss_embedding: 0.0224 loss: 0.1534 2022/08/26 15:54:56 - mmengine - INFO - Epoch(train) [102][15/63] lr: 8.4688e-04 eta: 4:50:53 time: 0.5660 data_time: 0.0346 memory: 12277 loss_text: 0.0906 loss_kernel: 0.0476 loss_embedding: 0.0269 loss: 0.1651 2022/08/26 15:54:58 - mmengine - INFO - Epoch(train) [102][20/63] lr: 8.4688e-04 eta: 4:50:46 time: 0.5188 data_time: 0.0416 memory: 12277 loss_text: 0.1015 loss_kernel: 0.0479 loss_embedding: 0.0277 loss: 0.1771 2022/08/26 15:55:01 - mmengine - INFO - Epoch(train) [102][25/63] lr: 8.4688e-04 eta: 4:50:46 time: 0.5173 data_time: 0.0437 memory: 12277 loss_text: 0.0997 loss_kernel: 0.0523 loss_embedding: 0.0248 loss: 0.1768 2022/08/26 15:55:03 - mmengine - INFO - Epoch(train) [102][30/63] lr: 8.4688e-04 eta: 4:50:39 time: 0.5213 data_time: 0.0352 memory: 12277 loss_text: 0.0984 loss_kernel: 0.0504 loss_embedding: 0.0250 loss: 0.1738 2022/08/26 15:55:06 - mmengine - INFO - Epoch(train) [102][35/63] lr: 8.4688e-04 eta: 4:50:39 time: 0.5190 data_time: 0.0346 memory: 12277 loss_text: 0.0973 loss_kernel: 0.0490 loss_embedding: 0.0249 loss: 0.1712 2022/08/26 15:55:09 - mmengine - INFO - Epoch(train) [102][40/63] lr: 8.4688e-04 eta: 4:50:32 time: 0.5243 data_time: 0.0436 memory: 12277 loss_text: 0.0905 loss_kernel: 0.0487 loss_embedding: 0.0268 loss: 0.1660 2022/08/26 15:55:11 - mmengine - INFO - Epoch(train) [102][45/63] lr: 8.4688e-04 eta: 4:50:32 time: 0.5326 data_time: 0.0450 memory: 12277 loss_text: 0.0791 loss_kernel: 0.0445 loss_embedding: 0.0265 loss: 0.1500 2022/08/26 15:55:14 - mmengine - INFO - Epoch(train) [102][50/63] lr: 8.4688e-04 eta: 4:50:24 time: 0.5114 data_time: 0.0309 memory: 12277 loss_text: 0.0806 loss_kernel: 0.0427 loss_embedding: 0.0216 loss: 0.1449 2022/08/26 15:55:16 - mmengine - INFO - Epoch(train) [102][55/63] lr: 8.4688e-04 eta: 4:50:24 time: 0.5153 data_time: 0.0312 memory: 12277 loss_text: 0.0866 loss_kernel: 0.0463 loss_embedding: 0.0209 loss: 0.1538 2022/08/26 15:55:19 - mmengine - INFO - Epoch(train) [102][60/63] lr: 8.4688e-04 eta: 4:50:17 time: 0.5171 data_time: 0.0439 memory: 12277 loss_text: 0.0818 loss_kernel: 0.0463 loss_embedding: 0.0210 loss: 0.1491 2022/08/26 15:55:20 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:55:24 - mmengine - INFO - Epoch(train) [103][5/63] lr: 8.4535e-04 eta: 4:50:17 time: 0.6085 data_time: 0.1503 memory: 12277 loss_text: 0.0727 loss_kernel: 0.0427 loss_embedding: 0.0204 loss: 0.1358 2022/08/26 15:55:27 - mmengine - INFO - Epoch(train) [103][10/63] lr: 8.4535e-04 eta: 4:50:05 time: 0.6394 data_time: 0.1529 memory: 12277 loss_text: 0.0698 loss_kernel: 0.0419 loss_embedding: 0.0187 loss: 0.1304 2022/08/26 15:55:29 - mmengine - INFO - Epoch(train) [103][15/63] lr: 8.4535e-04 eta: 4:50:05 time: 0.5103 data_time: 0.0476 memory: 12277 loss_text: 0.0869 loss_kernel: 0.0458 loss_embedding: 0.0205 loss: 0.1532 2022/08/26 15:55:32 - mmengine - INFO - Epoch(train) [103][20/63] lr: 8.4535e-04 eta: 4:50:00 time: 0.5635 data_time: 0.0487 memory: 12277 loss_text: 0.0987 loss_kernel: 0.0484 loss_embedding: 0.0257 loss: 0.1728 2022/08/26 15:55:35 - mmengine - INFO - Epoch(train) [103][25/63] lr: 8.4535e-04 eta: 4:50:00 time: 0.5720 data_time: 0.0391 memory: 12277 loss_text: 0.0867 loss_kernel: 0.0441 loss_embedding: 0.0251 loss: 0.1558 2022/08/26 15:55:37 - mmengine - INFO - Epoch(train) [103][30/63] lr: 8.4535e-04 eta: 4:49:53 time: 0.5182 data_time: 0.0352 memory: 12277 loss_text: 0.0826 loss_kernel: 0.0435 loss_embedding: 0.0248 loss: 0.1509 2022/08/26 15:55:40 - mmengine - INFO - Epoch(train) [103][35/63] lr: 8.4535e-04 eta: 4:49:53 time: 0.5225 data_time: 0.0443 memory: 12277 loss_text: 0.0899 loss_kernel: 0.0456 loss_embedding: 0.0254 loss: 0.1609 2022/08/26 15:55:43 - mmengine - INFO - Epoch(train) [103][40/63] lr: 8.4535e-04 eta: 4:49:46 time: 0.5247 data_time: 0.0470 memory: 12277 loss_text: 0.0971 loss_kernel: 0.0460 loss_embedding: 0.0230 loss: 0.1661 2022/08/26 15:55:45 - mmengine - INFO - Epoch(train) [103][45/63] lr: 8.4535e-04 eta: 4:49:46 time: 0.4981 data_time: 0.0312 memory: 12277 loss_text: 0.1049 loss_kernel: 0.0465 loss_embedding: 0.0255 loss: 0.1768 2022/08/26 15:55:48 - mmengine - INFO - Epoch(train) [103][50/63] lr: 8.4535e-04 eta: 4:49:38 time: 0.4996 data_time: 0.0298 memory: 12277 loss_text: 0.0979 loss_kernel: 0.0456 loss_embedding: 0.0295 loss: 0.1730 2022/08/26 15:55:50 - mmengine - INFO - Epoch(train) [103][55/63] lr: 8.4535e-04 eta: 4:49:38 time: 0.5081 data_time: 0.0432 memory: 12277 loss_text: 0.0995 loss_kernel: 0.0493 loss_embedding: 0.0271 loss: 0.1758 2022/08/26 15:55:53 - mmengine - INFO - Epoch(train) [103][60/63] lr: 8.4535e-04 eta: 4:49:32 time: 0.5488 data_time: 0.0464 memory: 12277 loss_text: 0.0990 loss_kernel: 0.0524 loss_embedding: 0.0239 loss: 0.1753 2022/08/26 15:55:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:55:58 - mmengine - INFO - Epoch(train) [104][5/63] lr: 8.4382e-04 eta: 4:49:32 time: 0.6106 data_time: 0.1465 memory: 12277 loss_text: 0.0819 loss_kernel: 0.0464 loss_embedding: 0.0234 loss: 0.1517 2022/08/26 15:56:01 - mmengine - INFO - Epoch(train) [104][10/63] lr: 8.4382e-04 eta: 4:49:21 time: 0.6398 data_time: 0.1617 memory: 12277 loss_text: 0.0840 loss_kernel: 0.0456 loss_embedding: 0.0234 loss: 0.1530 2022/08/26 15:56:04 - mmengine - INFO - Epoch(train) [104][15/63] lr: 8.4382e-04 eta: 4:49:21 time: 0.5326 data_time: 0.0438 memory: 12277 loss_text: 0.0842 loss_kernel: 0.0444 loss_embedding: 0.0239 loss: 0.1525 2022/08/26 15:56:06 - mmengine - INFO - Epoch(train) [104][20/63] lr: 8.4382e-04 eta: 4:49:13 time: 0.5126 data_time: 0.0280 memory: 12277 loss_text: 0.1022 loss_kernel: 0.0489 loss_embedding: 0.0239 loss: 0.1749 2022/08/26 15:56:09 - mmengine - INFO - Epoch(train) [104][25/63] lr: 8.4382e-04 eta: 4:49:13 time: 0.4991 data_time: 0.0297 memory: 12277 loss_text: 0.1002 loss_kernel: 0.0502 loss_embedding: 0.0245 loss: 0.1748 2022/08/26 15:56:11 - mmengine - INFO - Epoch(train) [104][30/63] lr: 8.4382e-04 eta: 4:49:06 time: 0.5217 data_time: 0.0475 memory: 12277 loss_text: 0.0907 loss_kernel: 0.0459 loss_embedding: 0.0235 loss: 0.1601 2022/08/26 15:56:14 - mmengine - INFO - Epoch(train) [104][35/63] lr: 8.4382e-04 eta: 4:49:06 time: 0.5331 data_time: 0.0458 memory: 12277 loss_text: 0.0946 loss_kernel: 0.0437 loss_embedding: 0.0221 loss: 0.1603 2022/08/26 15:56:16 - mmengine - INFO - Epoch(train) [104][40/63] lr: 8.4382e-04 eta: 4:48:59 time: 0.5199 data_time: 0.0276 memory: 12277 loss_text: 0.0934 loss_kernel: 0.0468 loss_embedding: 0.0206 loss: 0.1608 2022/08/26 15:56:19 - mmengine - INFO - Epoch(train) [104][45/63] lr: 8.4382e-04 eta: 4:48:59 time: 0.5237 data_time: 0.0273 memory: 12277 loss_text: 0.0939 loss_kernel: 0.0484 loss_embedding: 0.0233 loss: 0.1656 2022/08/26 15:56:22 - mmengine - INFO - Epoch(train) [104][50/63] lr: 8.4382e-04 eta: 4:48:53 time: 0.5439 data_time: 0.0466 memory: 12277 loss_text: 0.1016 loss_kernel: 0.0487 loss_embedding: 0.0230 loss: 0.1733 2022/08/26 15:56:24 - mmengine - INFO - Epoch(train) [104][55/63] lr: 8.4382e-04 eta: 4:48:53 time: 0.5370 data_time: 0.0483 memory: 12277 loss_text: 0.1143 loss_kernel: 0.0529 loss_embedding: 0.0221 loss: 0.1892 2022/08/26 15:56:27 - mmengine - INFO - Epoch(train) [104][60/63] lr: 8.4382e-04 eta: 4:48:45 time: 0.5119 data_time: 0.0297 memory: 12277 loss_text: 0.1059 loss_kernel: 0.0512 loss_embedding: 0.0235 loss: 0.1807 2022/08/26 15:56:28 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:56:32 - mmengine - INFO - Epoch(train) [105][5/63] lr: 8.4229e-04 eta: 4:48:45 time: 0.5793 data_time: 0.1368 memory: 12277 loss_text: 0.0984 loss_kernel: 0.0484 loss_embedding: 0.0226 loss: 0.1694 2022/08/26 15:56:35 - mmengine - INFO - Epoch(train) [105][10/63] lr: 8.4229e-04 eta: 4:48:34 time: 0.6379 data_time: 0.1539 memory: 12277 loss_text: 0.0915 loss_kernel: 0.0460 loss_embedding: 0.0203 loss: 0.1577 2022/08/26 15:56:37 - mmengine - INFO - Epoch(train) [105][15/63] lr: 8.4229e-04 eta: 4:48:34 time: 0.5303 data_time: 0.0442 memory: 12277 loss_text: 0.0843 loss_kernel: 0.0433 loss_embedding: 0.0198 loss: 0.1475 2022/08/26 15:56:40 - mmengine - INFO - Epoch(train) [105][20/63] lr: 8.4229e-04 eta: 4:48:27 time: 0.5162 data_time: 0.0303 memory: 12277 loss_text: 0.0826 loss_kernel: 0.0435 loss_embedding: 0.0205 loss: 0.1467 2022/08/26 15:56:42 - mmengine - INFO - Epoch(train) [105][25/63] lr: 8.4229e-04 eta: 4:48:27 time: 0.5319 data_time: 0.0314 memory: 12277 loss_text: 0.0835 loss_kernel: 0.0447 loss_embedding: 0.0240 loss: 0.1522 2022/08/26 15:56:45 - mmengine - INFO - Epoch(train) [105][30/63] lr: 8.4229e-04 eta: 4:48:20 time: 0.5272 data_time: 0.0470 memory: 12277 loss_text: 0.0817 loss_kernel: 0.0441 loss_embedding: 0.0240 loss: 0.1497 2022/08/26 15:56:48 - mmengine - INFO - Epoch(train) [105][35/63] lr: 8.4229e-04 eta: 4:48:20 time: 0.5049 data_time: 0.0444 memory: 12277 loss_text: 0.0843 loss_kernel: 0.0444 loss_embedding: 0.0246 loss: 0.1533 2022/08/26 15:56:50 - mmengine - INFO - Epoch(train) [105][40/63] lr: 8.4229e-04 eta: 4:48:12 time: 0.5037 data_time: 0.0289 memory: 12277 loss_text: 0.0888 loss_kernel: 0.0455 loss_embedding: 0.0270 loss: 0.1613 2022/08/26 15:56:54 - mmengine - INFO - Epoch(train) [105][45/63] lr: 8.4229e-04 eta: 4:48:12 time: 0.5998 data_time: 0.0329 memory: 12277 loss_text: 0.0860 loss_kernel: 0.0468 loss_embedding: 0.0239 loss: 0.1567 2022/08/26 15:56:56 - mmengine - INFO - Epoch(train) [105][50/63] lr: 8.4229e-04 eta: 4:48:09 time: 0.6053 data_time: 0.0495 memory: 12277 loss_text: 0.0790 loss_kernel: 0.0503 loss_embedding: 0.0208 loss: 0.1501 2022/08/26 15:56:59 - mmengine - INFO - Epoch(train) [105][55/63] lr: 8.4229e-04 eta: 4:48:09 time: 0.5179 data_time: 0.0501 memory: 12277 loss_text: 0.0851 loss_kernel: 0.0506 loss_embedding: 0.0238 loss: 0.1594 2022/08/26 15:57:01 - mmengine - INFO - Epoch(train) [105][60/63] lr: 8.4229e-04 eta: 4:48:01 time: 0.5074 data_time: 0.0308 memory: 12277 loss_text: 0.0917 loss_kernel: 0.0478 loss_embedding: 0.0255 loss: 0.1650 2022/08/26 15:57:03 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:57:06 - mmengine - INFO - Epoch(train) [106][5/63] lr: 8.4076e-04 eta: 4:48:01 time: 0.6084 data_time: 0.1393 memory: 12277 loss_text: 0.0787 loss_kernel: 0.0426 loss_embedding: 0.0216 loss: 0.1429 2022/08/26 15:57:09 - mmengine - INFO - Epoch(train) [106][10/63] lr: 8.4076e-04 eta: 4:47:50 time: 0.6455 data_time: 0.1557 memory: 12277 loss_text: 0.0922 loss_kernel: 0.0473 loss_embedding: 0.0243 loss: 0.1637 2022/08/26 15:57:12 - mmengine - INFO - Epoch(train) [106][15/63] lr: 8.4076e-04 eta: 4:47:50 time: 0.5294 data_time: 0.0477 memory: 12277 loss_text: 0.0928 loss_kernel: 0.0511 loss_embedding: 0.0250 loss: 0.1689 2022/08/26 15:57:14 - mmengine - INFO - Epoch(train) [106][20/63] lr: 8.4076e-04 eta: 4:47:43 time: 0.5106 data_time: 0.0318 memory: 12277 loss_text: 0.0912 loss_kernel: 0.0475 loss_embedding: 0.0223 loss: 0.1610 2022/08/26 15:57:17 - mmengine - INFO - Epoch(train) [106][25/63] lr: 8.4076e-04 eta: 4:47:43 time: 0.4965 data_time: 0.0282 memory: 12277 loss_text: 0.0872 loss_kernel: 0.0447 loss_embedding: 0.0218 loss: 0.1538 2022/08/26 15:57:19 - mmengine - INFO - Epoch(train) [106][30/63] lr: 8.4076e-04 eta: 4:47:35 time: 0.5091 data_time: 0.0476 memory: 12277 loss_text: 0.0767 loss_kernel: 0.0436 loss_embedding: 0.0233 loss: 0.1437 2022/08/26 15:57:22 - mmengine - INFO - Epoch(train) [106][35/63] lr: 8.4076e-04 eta: 4:47:35 time: 0.5394 data_time: 0.0519 memory: 12277 loss_text: 0.0792 loss_kernel: 0.0422 loss_embedding: 0.0254 loss: 0.1468 2022/08/26 15:57:25 - mmengine - INFO - Epoch(train) [106][40/63] lr: 8.4076e-04 eta: 4:47:28 time: 0.5273 data_time: 0.0356 memory: 12277 loss_text: 0.0834 loss_kernel: 0.0433 loss_embedding: 0.0277 loss: 0.1544 2022/08/26 15:57:27 - mmengine - INFO - Epoch(train) [106][45/63] lr: 8.4076e-04 eta: 4:47:28 time: 0.5120 data_time: 0.0331 memory: 12277 loss_text: 0.0836 loss_kernel: 0.0442 loss_embedding: 0.0276 loss: 0.1554 2022/08/26 15:57:30 - mmengine - INFO - Epoch(train) [106][50/63] lr: 8.4076e-04 eta: 4:47:22 time: 0.5324 data_time: 0.0479 memory: 12277 loss_text: 0.0840 loss_kernel: 0.0432 loss_embedding: 0.0242 loss: 0.1515 2022/08/26 15:57:33 - mmengine - INFO - Epoch(train) [106][55/63] lr: 8.4076e-04 eta: 4:47:22 time: 0.5388 data_time: 0.0505 memory: 12277 loss_text: 0.0922 loss_kernel: 0.0465 loss_embedding: 0.0233 loss: 0.1620 2022/08/26 15:57:35 - mmengine - INFO - Epoch(train) [106][60/63] lr: 8.4076e-04 eta: 4:47:15 time: 0.5230 data_time: 0.0331 memory: 12277 loss_text: 0.1080 loss_kernel: 0.0565 loss_embedding: 0.0231 loss: 0.1876 2022/08/26 15:57:37 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:57:40 - mmengine - INFO - Epoch(train) [107][5/63] lr: 8.3922e-04 eta: 4:47:15 time: 0.6306 data_time: 0.1221 memory: 12277 loss_text: 0.0811 loss_kernel: 0.0456 loss_embedding: 0.0241 loss: 0.1508 2022/08/26 15:57:43 - mmengine - INFO - Epoch(train) [107][10/63] lr: 8.3922e-04 eta: 4:47:02 time: 0.5975 data_time: 0.1203 memory: 12277 loss_text: 0.0751 loss_kernel: 0.0414 loss_embedding: 0.0225 loss: 0.1390 2022/08/26 15:57:45 - mmengine - INFO - Epoch(train) [107][15/63] lr: 8.3922e-04 eta: 4:47:02 time: 0.4947 data_time: 0.0210 memory: 12277 loss_text: 0.0935 loss_kernel: 0.0439 loss_embedding: 0.0223 loss: 0.1598 2022/08/26 15:57:48 - mmengine - INFO - Epoch(train) [107][20/63] lr: 8.3922e-04 eta: 4:46:54 time: 0.5084 data_time: 0.0219 memory: 12277 loss_text: 0.0941 loss_kernel: 0.0456 loss_embedding: 0.0252 loss: 0.1649 2022/08/26 15:57:50 - mmengine - INFO - Epoch(train) [107][25/63] lr: 8.3922e-04 eta: 4:46:54 time: 0.5062 data_time: 0.0230 memory: 12277 loss_text: 0.0888 loss_kernel: 0.0495 loss_embedding: 0.0292 loss: 0.1676 2022/08/26 15:57:54 - mmengine - INFO - Epoch(train) [107][30/63] lr: 8.3922e-04 eta: 4:46:48 time: 0.5443 data_time: 0.0260 memory: 12277 loss_text: 0.0931 loss_kernel: 0.0524 loss_embedding: 0.0289 loss: 0.1744 2022/08/26 15:57:56 - mmengine - INFO - Epoch(train) [107][35/63] lr: 8.3922e-04 eta: 4:46:48 time: 0.5615 data_time: 0.0280 memory: 12277 loss_text: 0.0937 loss_kernel: 0.0503 loss_embedding: 0.0255 loss: 0.1695 2022/08/26 15:57:59 - mmengine - INFO - Epoch(train) [107][40/63] lr: 8.3922e-04 eta: 4:46:40 time: 0.5030 data_time: 0.0214 memory: 12277 loss_text: 0.0889 loss_kernel: 0.0461 loss_embedding: 0.0234 loss: 0.1585 2022/08/26 15:58:01 - mmengine - INFO - Epoch(train) [107][45/63] lr: 8.3922e-04 eta: 4:46:40 time: 0.5055 data_time: 0.0184 memory: 12277 loss_text: 0.0884 loss_kernel: 0.0441 loss_embedding: 0.0247 loss: 0.1572 2022/08/26 15:58:04 - mmengine - INFO - Epoch(train) [107][50/63] lr: 8.3922e-04 eta: 4:46:33 time: 0.5108 data_time: 0.0253 memory: 12277 loss_text: 0.0957 loss_kernel: 0.0452 loss_embedding: 0.0306 loss: 0.1715 2022/08/26 15:58:06 - mmengine - INFO - Epoch(train) [107][55/63] lr: 8.3922e-04 eta: 4:46:33 time: 0.5164 data_time: 0.0346 memory: 12277 loss_text: 0.1100 loss_kernel: 0.0497 loss_embedding: 0.0292 loss: 0.1888 2022/08/26 15:58:09 - mmengine - INFO - Epoch(train) [107][60/63] lr: 8.3922e-04 eta: 4:46:25 time: 0.5099 data_time: 0.0267 memory: 12277 loss_text: 0.1035 loss_kernel: 0.0488 loss_embedding: 0.0259 loss: 0.1783 2022/08/26 15:58:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:58:14 - mmengine - INFO - Epoch(train) [108][5/63] lr: 8.3769e-04 eta: 4:46:25 time: 0.6352 data_time: 0.1723 memory: 12277 loss_text: 0.1011 loss_kernel: 0.0469 loss_embedding: 0.0292 loss: 0.1771 2022/08/26 15:58:17 - mmengine - INFO - Epoch(train) [108][10/63] lr: 8.3769e-04 eta: 4:46:16 time: 0.6680 data_time: 0.1782 memory: 12277 loss_text: 0.0922 loss_kernel: 0.0475 loss_embedding: 0.0280 loss: 0.1677 2022/08/26 15:58:19 - mmengine - INFO - Epoch(train) [108][15/63] lr: 8.3769e-04 eta: 4:46:16 time: 0.5072 data_time: 0.0214 memory: 12277 loss_text: 0.0902 loss_kernel: 0.0468 loss_embedding: 0.0271 loss: 0.1641 2022/08/26 15:58:22 - mmengine - INFO - Epoch(train) [108][20/63] lr: 8.3769e-04 eta: 4:46:08 time: 0.5054 data_time: 0.0176 memory: 12277 loss_text: 0.0929 loss_kernel: 0.0494 loss_embedding: 0.0214 loss: 0.1636 2022/08/26 15:58:24 - mmengine - INFO - Epoch(train) [108][25/63] lr: 8.3769e-04 eta: 4:46:08 time: 0.5065 data_time: 0.0195 memory: 12277 loss_text: 0.1018 loss_kernel: 0.0522 loss_embedding: 0.0218 loss: 0.1757 2022/08/26 15:58:27 - mmengine - INFO - Epoch(train) [108][30/63] lr: 8.3769e-04 eta: 4:46:01 time: 0.5097 data_time: 0.0234 memory: 12277 loss_text: 0.0999 loss_kernel: 0.0502 loss_embedding: 0.0254 loss: 0.1755 2022/08/26 15:58:29 - mmengine - INFO - Epoch(train) [108][35/63] lr: 8.3769e-04 eta: 4:46:01 time: 0.5115 data_time: 0.0238 memory: 12277 loss_text: 0.0928 loss_kernel: 0.0499 loss_embedding: 0.0254 loss: 0.1681 2022/08/26 15:58:32 - mmengine - INFO - Epoch(train) [108][40/63] lr: 8.3769e-04 eta: 4:45:53 time: 0.5049 data_time: 0.0201 memory: 12277 loss_text: 0.0903 loss_kernel: 0.0487 loss_embedding: 0.0249 loss: 0.1640 2022/08/26 15:58:34 - mmengine - INFO - Epoch(train) [108][45/63] lr: 8.3769e-04 eta: 4:45:53 time: 0.5000 data_time: 0.0202 memory: 12277 loss_text: 0.0999 loss_kernel: 0.0462 loss_embedding: 0.0230 loss: 0.1692 2022/08/26 15:58:37 - mmengine - INFO - Epoch(train) [108][50/63] lr: 8.3769e-04 eta: 4:45:45 time: 0.5025 data_time: 0.0258 memory: 12277 loss_text: 0.1027 loss_kernel: 0.0468 loss_embedding: 0.0226 loss: 0.1722 2022/08/26 15:58:39 - mmengine - INFO - Epoch(train) [108][55/63] lr: 8.3769e-04 eta: 4:45:45 time: 0.5014 data_time: 0.0264 memory: 12277 loss_text: 0.0936 loss_kernel: 0.0455 loss_embedding: 0.0268 loss: 0.1659 2022/08/26 15:58:42 - mmengine - INFO - Epoch(train) [108][60/63] lr: 8.3769e-04 eta: 4:45:39 time: 0.5355 data_time: 0.0193 memory: 12277 loss_text: 0.0871 loss_kernel: 0.0447 loss_embedding: 0.0265 loss: 0.1584 2022/08/26 15:58:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:58:48 - mmengine - INFO - Epoch(train) [109][5/63] lr: 8.3616e-04 eta: 4:45:39 time: 0.6612 data_time: 0.1655 memory: 12277 loss_text: 0.0730 loss_kernel: 0.0426 loss_embedding: 0.0250 loss: 0.1406 2022/08/26 15:58:50 - mmengine - INFO - Epoch(train) [109][10/63] lr: 8.3616e-04 eta: 4:45:28 time: 0.6446 data_time: 0.1683 memory: 12277 loss_text: 0.0693 loss_kernel: 0.0400 loss_embedding: 0.0192 loss: 0.1284 2022/08/26 15:58:53 - mmengine - INFO - Epoch(train) [109][15/63] lr: 8.3616e-04 eta: 4:45:28 time: 0.5017 data_time: 0.0240 memory: 12277 loss_text: 0.0723 loss_kernel: 0.0418 loss_embedding: 0.0195 loss: 0.1336 2022/08/26 15:58:55 - mmengine - INFO - Epoch(train) [109][20/63] lr: 8.3616e-04 eta: 4:45:20 time: 0.5017 data_time: 0.0235 memory: 12277 loss_text: 0.0763 loss_kernel: 0.0433 loss_embedding: 0.0237 loss: 0.1433 2022/08/26 15:58:58 - mmengine - INFO - Epoch(train) [109][25/63] lr: 8.3616e-04 eta: 4:45:20 time: 0.5032 data_time: 0.0207 memory: 12277 loss_text: 0.0770 loss_kernel: 0.0443 loss_embedding: 0.0261 loss: 0.1474 2022/08/26 15:59:00 - mmengine - INFO - Epoch(train) [109][30/63] lr: 8.3616e-04 eta: 4:45:13 time: 0.5103 data_time: 0.0272 memory: 12277 loss_text: 0.0726 loss_kernel: 0.0428 loss_embedding: 0.0233 loss: 0.1387 2022/08/26 15:59:03 - mmengine - INFO - Epoch(train) [109][35/63] lr: 8.3616e-04 eta: 4:45:13 time: 0.5075 data_time: 0.0264 memory: 12277 loss_text: 0.0818 loss_kernel: 0.0450 loss_embedding: 0.0194 loss: 0.1461 2022/08/26 15:59:05 - mmengine - INFO - Epoch(train) [109][40/63] lr: 8.3616e-04 eta: 4:45:05 time: 0.5011 data_time: 0.0200 memory: 12277 loss_text: 0.0998 loss_kernel: 0.0507 loss_embedding: 0.0218 loss: 0.1723 2022/08/26 15:59:08 - mmengine - INFO - Epoch(train) [109][45/63] lr: 8.3616e-04 eta: 4:45:05 time: 0.4897 data_time: 0.0205 memory: 12277 loss_text: 0.0883 loss_kernel: 0.0459 loss_embedding: 0.0245 loss: 0.1587 2022/08/26 15:59:10 - mmengine - INFO - Epoch(train) [109][50/63] lr: 8.3616e-04 eta: 4:44:57 time: 0.4951 data_time: 0.0231 memory: 12277 loss_text: 0.0853 loss_kernel: 0.0443 loss_embedding: 0.0258 loss: 0.1554 2022/08/26 15:59:13 - mmengine - INFO - Epoch(train) [109][55/63] lr: 8.3616e-04 eta: 4:44:57 time: 0.5185 data_time: 0.0276 memory: 12277 loss_text: 0.0891 loss_kernel: 0.0457 loss_embedding: 0.0260 loss: 0.1608 2022/08/26 15:59:15 - mmengine - INFO - Epoch(train) [109][60/63] lr: 8.3616e-04 eta: 4:44:49 time: 0.5093 data_time: 0.0250 memory: 12277 loss_text: 0.0933 loss_kernel: 0.0471 loss_embedding: 0.0239 loss: 0.1643 2022/08/26 15:59:16 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:59:20 - mmengine - INFO - Epoch(train) [110][5/63] lr: 8.3463e-04 eta: 4:44:49 time: 0.5671 data_time: 0.1227 memory: 12277 loss_text: 0.0843 loss_kernel: 0.0469 loss_embedding: 0.0263 loss: 0.1575 2022/08/26 15:59:22 - mmengine - INFO - Epoch(train) [110][10/63] lr: 8.3463e-04 eta: 4:44:37 time: 0.5985 data_time: 0.1264 memory: 12277 loss_text: 0.0896 loss_kernel: 0.0465 loss_embedding: 0.0230 loss: 0.1590 2022/08/26 15:59:25 - mmengine - INFO - Epoch(train) [110][15/63] lr: 8.3463e-04 eta: 4:44:37 time: 0.5142 data_time: 0.0268 memory: 12277 loss_text: 0.0905 loss_kernel: 0.0459 loss_embedding: 0.0202 loss: 0.1566 2022/08/26 15:59:27 - mmengine - INFO - Epoch(train) [110][20/63] lr: 8.3463e-04 eta: 4:44:29 time: 0.5018 data_time: 0.0259 memory: 12277 loss_text: 0.0779 loss_kernel: 0.0428 loss_embedding: 0.0200 loss: 0.1407 2022/08/26 15:59:30 - mmengine - INFO - Epoch(train) [110][25/63] lr: 8.3463e-04 eta: 4:44:29 time: 0.4883 data_time: 0.0241 memory: 12277 loss_text: 0.0758 loss_kernel: 0.0422 loss_embedding: 0.0201 loss: 0.1382 2022/08/26 15:59:32 - mmengine - INFO - Epoch(train) [110][30/63] lr: 8.3463e-04 eta: 4:44:21 time: 0.4983 data_time: 0.0222 memory: 12277 loss_text: 0.0804 loss_kernel: 0.0424 loss_embedding: 0.0228 loss: 0.1456 2022/08/26 15:59:35 - mmengine - INFO - Epoch(train) [110][35/63] lr: 8.3463e-04 eta: 4:44:21 time: 0.4932 data_time: 0.0205 memory: 12277 loss_text: 0.0869 loss_kernel: 0.0444 loss_embedding: 0.0238 loss: 0.1551 2022/08/26 15:59:38 - mmengine - INFO - Epoch(train) [110][40/63] lr: 8.3463e-04 eta: 4:44:14 time: 0.5102 data_time: 0.0265 memory: 12277 loss_text: 0.1029 loss_kernel: 0.0468 loss_embedding: 0.0245 loss: 0.1742 2022/08/26 15:59:40 - mmengine - INFO - Epoch(train) [110][45/63] lr: 8.3463e-04 eta: 4:44:14 time: 0.5288 data_time: 0.0284 memory: 12277 loss_text: 0.0998 loss_kernel: 0.0451 loss_embedding: 0.0269 loss: 0.1718 2022/08/26 15:59:43 - mmengine - INFO - Epoch(train) [110][50/63] lr: 8.3463e-04 eta: 4:44:07 time: 0.5217 data_time: 0.0236 memory: 12277 loss_text: 0.0843 loss_kernel: 0.0483 loss_embedding: 0.0284 loss: 0.1609 2022/08/26 15:59:45 - mmengine - INFO - Epoch(train) [110][55/63] lr: 8.3463e-04 eta: 4:44:07 time: 0.5066 data_time: 0.0200 memory: 12277 loss_text: 0.0921 loss_kernel: 0.0524 loss_embedding: 0.0270 loss: 0.1715 2022/08/26 15:59:48 - mmengine - INFO - Epoch(train) [110][60/63] lr: 8.3463e-04 eta: 4:43:59 time: 0.5092 data_time: 0.0248 memory: 12277 loss_text: 0.0922 loss_kernel: 0.0458 loss_embedding: 0.0237 loss: 0.1616 2022/08/26 15:59:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 15:59:53 - mmengine - INFO - Epoch(train) [111][5/63] lr: 8.3309e-04 eta: 4:43:59 time: 0.6311 data_time: 0.1629 memory: 12277 loss_text: 0.1002 loss_kernel: 0.0447 loss_embedding: 0.0266 loss: 0.1716 2022/08/26 15:59:56 - mmengine - INFO - Epoch(train) [111][10/63] lr: 8.3309e-04 eta: 4:43:49 time: 0.6502 data_time: 0.1639 memory: 12277 loss_text: 0.0910 loss_kernel: 0.0434 loss_embedding: 0.0244 loss: 0.1588 2022/08/26 15:59:58 - mmengine - INFO - Epoch(train) [111][15/63] lr: 8.3309e-04 eta: 4:43:49 time: 0.4967 data_time: 0.0246 memory: 12277 loss_text: 0.0766 loss_kernel: 0.0415 loss_embedding: 0.0226 loss: 0.1407 2022/08/26 16:00:01 - mmengine - INFO - Epoch(train) [111][20/63] lr: 8.3309e-04 eta: 4:43:41 time: 0.4941 data_time: 0.0245 memory: 12277 loss_text: 0.0759 loss_kernel: 0.0417 loss_embedding: 0.0210 loss: 0.1385 2022/08/26 16:00:03 - mmengine - INFO - Epoch(train) [111][25/63] lr: 8.3309e-04 eta: 4:43:41 time: 0.4897 data_time: 0.0226 memory: 12277 loss_text: 0.0841 loss_kernel: 0.0446 loss_embedding: 0.0224 loss: 0.1511 2022/08/26 16:00:06 - mmengine - INFO - Epoch(train) [111][30/63] lr: 8.3309e-04 eta: 4:43:33 time: 0.4951 data_time: 0.0215 memory: 12277 loss_text: 0.0922 loss_kernel: 0.0486 loss_embedding: 0.0245 loss: 0.1654 2022/08/26 16:00:08 - mmengine - INFO - Epoch(train) [111][35/63] lr: 8.3309e-04 eta: 4:43:33 time: 0.4903 data_time: 0.0193 memory: 12277 loss_text: 0.0837 loss_kernel: 0.0474 loss_embedding: 0.0217 loss: 0.1528 2022/08/26 16:00:10 - mmengine - INFO - Epoch(train) [111][40/63] lr: 8.3309e-04 eta: 4:43:25 time: 0.4959 data_time: 0.0257 memory: 12277 loss_text: 0.0874 loss_kernel: 0.0461 loss_embedding: 0.0193 loss: 0.1529 2022/08/26 16:00:13 - mmengine - INFO - Epoch(train) [111][45/63] lr: 8.3309e-04 eta: 4:43:25 time: 0.5219 data_time: 0.0279 memory: 12277 loss_text: 0.0966 loss_kernel: 0.0492 loss_embedding: 0.0265 loss: 0.1723 2022/08/26 16:00:16 - mmengine - INFO - Epoch(train) [111][50/63] lr: 8.3309e-04 eta: 4:43:18 time: 0.5235 data_time: 0.0234 memory: 12277 loss_text: 0.0948 loss_kernel: 0.0499 loss_embedding: 0.0285 loss: 0.1733 2022/08/26 16:00:18 - mmengine - INFO - Epoch(train) [111][55/63] lr: 8.3309e-04 eta: 4:43:18 time: 0.5112 data_time: 0.0221 memory: 12277 loss_text: 0.0893 loss_kernel: 0.0463 loss_embedding: 0.0248 loss: 0.1605 2022/08/26 16:00:21 - mmengine - INFO - Epoch(train) [111][60/63] lr: 8.3309e-04 eta: 4:43:11 time: 0.5062 data_time: 0.0263 memory: 12277 loss_text: 0.0815 loss_kernel: 0.0438 loss_embedding: 0.0243 loss: 0.1496 2022/08/26 16:00:22 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:00:26 - mmengine - INFO - Epoch(train) [112][5/63] lr: 8.3156e-04 eta: 4:43:11 time: 0.6321 data_time: 0.1709 memory: 12277 loss_text: 0.0815 loss_kernel: 0.0407 loss_embedding: 0.0203 loss: 0.1426 2022/08/26 16:00:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:00:29 - mmengine - INFO - Epoch(train) [112][10/63] lr: 8.3156e-04 eta: 4:43:02 time: 0.6762 data_time: 0.1723 memory: 12277 loss_text: 0.0811 loss_kernel: 0.0463 loss_embedding: 0.0243 loss: 0.1517 2022/08/26 16:00:31 - mmengine - INFO - Epoch(train) [112][15/63] lr: 8.3156e-04 eta: 4:43:02 time: 0.4892 data_time: 0.0235 memory: 12277 loss_text: 0.0852 loss_kernel: 0.0497 loss_embedding: 0.0235 loss: 0.1584 2022/08/26 16:00:34 - mmengine - INFO - Epoch(train) [112][20/63] lr: 8.3156e-04 eta: 4:42:55 time: 0.5121 data_time: 0.0259 memory: 12277 loss_text: 0.0883 loss_kernel: 0.0475 loss_embedding: 0.0201 loss: 0.1559 2022/08/26 16:00:36 - mmengine - INFO - Epoch(train) [112][25/63] lr: 8.3156e-04 eta: 4:42:55 time: 0.5322 data_time: 0.0256 memory: 12277 loss_text: 0.0901 loss_kernel: 0.0484 loss_embedding: 0.0220 loss: 0.1605 2022/08/26 16:00:39 - mmengine - INFO - Epoch(train) [112][30/63] lr: 8.3156e-04 eta: 4:42:47 time: 0.5114 data_time: 0.0228 memory: 12277 loss_text: 0.0850 loss_kernel: 0.0478 loss_embedding: 0.0241 loss: 0.1569 2022/08/26 16:00:41 - mmengine - INFO - Epoch(train) [112][35/63] lr: 8.3156e-04 eta: 4:42:47 time: 0.5051 data_time: 0.0239 memory: 12277 loss_text: 0.0785 loss_kernel: 0.0427 loss_embedding: 0.0217 loss: 0.1430 2022/08/26 16:00:44 - mmengine - INFO - Epoch(train) [112][40/63] lr: 8.3156e-04 eta: 4:42:40 time: 0.5129 data_time: 0.0263 memory: 12277 loss_text: 0.0781 loss_kernel: 0.0415 loss_embedding: 0.0198 loss: 0.1394 2022/08/26 16:00:47 - mmengine - INFO - Epoch(train) [112][45/63] lr: 8.3156e-04 eta: 4:42:40 time: 0.5271 data_time: 0.0256 memory: 12277 loss_text: 0.0900 loss_kernel: 0.0476 loss_embedding: 0.0207 loss: 0.1583 2022/08/26 16:00:49 - mmengine - INFO - Epoch(train) [112][50/63] lr: 8.3156e-04 eta: 4:42:33 time: 0.5063 data_time: 0.0232 memory: 12277 loss_text: 0.0959 loss_kernel: 0.0529 loss_embedding: 0.0221 loss: 0.1708 2022/08/26 16:00:52 - mmengine - INFO - Epoch(train) [112][55/63] lr: 8.3156e-04 eta: 4:42:33 time: 0.4878 data_time: 0.0241 memory: 12277 loss_text: 0.0848 loss_kernel: 0.0483 loss_embedding: 0.0238 loss: 0.1569 2022/08/26 16:00:54 - mmengine - INFO - Epoch(train) [112][60/63] lr: 8.3156e-04 eta: 4:42:24 time: 0.4890 data_time: 0.0242 memory: 12277 loss_text: 0.0872 loss_kernel: 0.0469 loss_embedding: 0.0260 loss: 0.1601 2022/08/26 16:00:55 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:00:59 - mmengine - INFO - Epoch(train) [113][5/63] lr: 8.3003e-04 eta: 4:42:24 time: 0.6255 data_time: 0.1693 memory: 12277 loss_text: 0.0932 loss_kernel: 0.0485 loss_embedding: 0.0268 loss: 0.1685 2022/08/26 16:01:02 - mmengine - INFO - Epoch(train) [113][10/63] lr: 8.3003e-04 eta: 4:42:15 time: 0.6631 data_time: 0.1748 memory: 12277 loss_text: 0.1000 loss_kernel: 0.0480 loss_embedding: 0.0241 loss: 0.1721 2022/08/26 16:01:04 - mmengine - INFO - Epoch(train) [113][15/63] lr: 8.3003e-04 eta: 4:42:15 time: 0.5071 data_time: 0.0281 memory: 12277 loss_text: 0.0905 loss_kernel: 0.0418 loss_embedding: 0.0249 loss: 0.1571 2022/08/26 16:01:07 - mmengine - INFO - Epoch(train) [113][20/63] lr: 8.3003e-04 eta: 4:42:07 time: 0.4953 data_time: 0.0238 memory: 12277 loss_text: 0.0906 loss_kernel: 0.0443 loss_embedding: 0.0248 loss: 0.1596 2022/08/26 16:01:09 - mmengine - INFO - Epoch(train) [113][25/63] lr: 8.3003e-04 eta: 4:42:07 time: 0.4960 data_time: 0.0223 memory: 12277 loss_text: 0.1049 loss_kernel: 0.0528 loss_embedding: 0.0222 loss: 0.1798 2022/08/26 16:01:12 - mmengine - INFO - Epoch(train) [113][30/63] lr: 8.3003e-04 eta: 4:42:00 time: 0.5188 data_time: 0.0279 memory: 12277 loss_text: 0.0966 loss_kernel: 0.0519 loss_embedding: 0.0215 loss: 0.1699 2022/08/26 16:01:15 - mmengine - INFO - Epoch(train) [113][35/63] lr: 8.3003e-04 eta: 4:42:00 time: 0.5122 data_time: 0.0255 memory: 12277 loss_text: 0.0820 loss_kernel: 0.0449 loss_embedding: 0.0222 loss: 0.1490 2022/08/26 16:01:17 - mmengine - INFO - Epoch(train) [113][40/63] lr: 8.3003e-04 eta: 4:41:53 time: 0.5026 data_time: 0.0204 memory: 12277 loss_text: 0.0867 loss_kernel: 0.0454 loss_embedding: 0.0218 loss: 0.1539 2022/08/26 16:01:19 - mmengine - INFO - Epoch(train) [113][45/63] lr: 8.3003e-04 eta: 4:41:53 time: 0.4864 data_time: 0.0216 memory: 12277 loss_text: 0.0853 loss_kernel: 0.0439 loss_embedding: 0.0244 loss: 0.1536 2022/08/26 16:01:22 - mmengine - INFO - Epoch(train) [113][50/63] lr: 8.3003e-04 eta: 4:41:46 time: 0.5229 data_time: 0.0247 memory: 12277 loss_text: 0.0829 loss_kernel: 0.0438 loss_embedding: 0.0238 loss: 0.1505 2022/08/26 16:01:25 - mmengine - INFO - Epoch(train) [113][55/63] lr: 8.3003e-04 eta: 4:41:46 time: 0.5409 data_time: 0.0284 memory: 12277 loss_text: 0.0814 loss_kernel: 0.0461 loss_embedding: 0.0231 loss: 0.1506 2022/08/26 16:01:27 - mmengine - INFO - Epoch(train) [113][60/63] lr: 8.3003e-04 eta: 4:41:38 time: 0.4911 data_time: 0.0252 memory: 12277 loss_text: 0.0903 loss_kernel: 0.0485 loss_embedding: 0.0237 loss: 0.1625 2022/08/26 16:01:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:01:32 - mmengine - INFO - Epoch(train) [114][5/63] lr: 8.2849e-04 eta: 4:41:38 time: 0.5597 data_time: 0.1135 memory: 12277 loss_text: 0.0845 loss_kernel: 0.0451 loss_embedding: 0.0247 loss: 0.1543 2022/08/26 16:01:34 - mmengine - INFO - Epoch(train) [114][10/63] lr: 8.2849e-04 eta: 4:41:25 time: 0.5858 data_time: 0.1219 memory: 12277 loss_text: 0.0786 loss_kernel: 0.0436 loss_embedding: 0.0238 loss: 0.1459 2022/08/26 16:01:37 - mmengine - INFO - Epoch(train) [114][15/63] lr: 8.2849e-04 eta: 4:41:25 time: 0.5021 data_time: 0.0302 memory: 12277 loss_text: 0.0933 loss_kernel: 0.0505 loss_embedding: 0.0241 loss: 0.1679 2022/08/26 16:01:39 - mmengine - INFO - Epoch(train) [114][20/63] lr: 8.2849e-04 eta: 4:41:17 time: 0.5040 data_time: 0.0238 memory: 12277 loss_text: 0.0910 loss_kernel: 0.0491 loss_embedding: 0.0205 loss: 0.1606 2022/08/26 16:01:42 - mmengine - INFO - Epoch(train) [114][25/63] lr: 8.2849e-04 eta: 4:41:17 time: 0.5032 data_time: 0.0237 memory: 12277 loss_text: 0.0814 loss_kernel: 0.0426 loss_embedding: 0.0219 loss: 0.1459 2022/08/26 16:01:45 - mmengine - INFO - Epoch(train) [114][30/63] lr: 8.2849e-04 eta: 4:41:10 time: 0.5058 data_time: 0.0239 memory: 12277 loss_text: 0.0907 loss_kernel: 0.0455 loss_embedding: 0.0240 loss: 0.1601 2022/08/26 16:01:47 - mmengine - INFO - Epoch(train) [114][35/63] lr: 8.2849e-04 eta: 4:41:10 time: 0.5074 data_time: 0.0288 memory: 12277 loss_text: 0.0944 loss_kernel: 0.0469 loss_embedding: 0.0226 loss: 0.1639 2022/08/26 16:01:50 - mmengine - INFO - Epoch(train) [114][40/63] lr: 8.2849e-04 eta: 4:41:03 time: 0.5020 data_time: 0.0273 memory: 12277 loss_text: 0.0847 loss_kernel: 0.0438 loss_embedding: 0.0216 loss: 0.1500 2022/08/26 16:01:52 - mmengine - INFO - Epoch(train) [114][45/63] lr: 8.2849e-04 eta: 4:41:03 time: 0.5219 data_time: 0.0201 memory: 12277 loss_text: 0.0804 loss_kernel: 0.0431 loss_embedding: 0.0240 loss: 0.1475 2022/08/26 16:01:55 - mmengine - INFO - Epoch(train) [114][50/63] lr: 8.2849e-04 eta: 4:40:56 time: 0.5311 data_time: 0.0216 memory: 12277 loss_text: 0.0854 loss_kernel: 0.0447 loss_embedding: 0.0238 loss: 0.1539 2022/08/26 16:01:57 - mmengine - INFO - Epoch(train) [114][55/63] lr: 8.2849e-04 eta: 4:40:56 time: 0.4977 data_time: 0.0287 memory: 12277 loss_text: 0.0842 loss_kernel: 0.0446 loss_embedding: 0.0196 loss: 0.1484 2022/08/26 16:02:00 - mmengine - INFO - Epoch(train) [114][60/63] lr: 8.2849e-04 eta: 4:40:48 time: 0.4792 data_time: 0.0257 memory: 12277 loss_text: 0.0863 loss_kernel: 0.0462 loss_embedding: 0.0211 loss: 0.1537 2022/08/26 16:02:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:02:05 - mmengine - INFO - Epoch(train) [115][5/63] lr: 8.2696e-04 eta: 4:40:48 time: 0.5829 data_time: 0.1313 memory: 12277 loss_text: 0.1006 loss_kernel: 0.0532 loss_embedding: 0.0233 loss: 0.1770 2022/08/26 16:02:07 - mmengine - INFO - Epoch(train) [115][10/63] lr: 8.2696e-04 eta: 4:40:36 time: 0.6196 data_time: 0.1378 memory: 12277 loss_text: 0.1020 loss_kernel: 0.0519 loss_embedding: 0.0227 loss: 0.1767 2022/08/26 16:02:10 - mmengine - INFO - Epoch(train) [115][15/63] lr: 8.2696e-04 eta: 4:40:36 time: 0.5351 data_time: 0.0302 memory: 12277 loss_text: 0.0841 loss_kernel: 0.0433 loss_embedding: 0.0228 loss: 0.1502 2022/08/26 16:02:12 - mmengine - INFO - Epoch(train) [115][20/63] lr: 8.2696e-04 eta: 4:40:29 time: 0.5093 data_time: 0.0285 memory: 12277 loss_text: 0.0869 loss_kernel: 0.0436 loss_embedding: 0.0219 loss: 0.1524 2022/08/26 16:02:15 - mmengine - INFO - Epoch(train) [115][25/63] lr: 8.2696e-04 eta: 4:40:29 time: 0.4841 data_time: 0.0224 memory: 12277 loss_text: 0.0914 loss_kernel: 0.0442 loss_embedding: 0.0209 loss: 0.1565 2022/08/26 16:02:17 - mmengine - INFO - Epoch(train) [115][30/63] lr: 8.2696e-04 eta: 4:40:21 time: 0.4905 data_time: 0.0186 memory: 12277 loss_text: 0.0784 loss_kernel: 0.0434 loss_embedding: 0.0232 loss: 0.1449 2022/08/26 16:02:20 - mmengine - INFO - Epoch(train) [115][35/63] lr: 8.2696e-04 eta: 4:40:21 time: 0.4821 data_time: 0.0186 memory: 12277 loss_text: 0.0708 loss_kernel: 0.0412 loss_embedding: 0.0207 loss: 0.1327 2022/08/26 16:02:22 - mmengine - INFO - Epoch(train) [115][40/63] lr: 8.2696e-04 eta: 4:40:13 time: 0.4915 data_time: 0.0252 memory: 12277 loss_text: 0.0917 loss_kernel: 0.0434 loss_embedding: 0.0183 loss: 0.1534 2022/08/26 16:02:24 - mmengine - INFO - Epoch(train) [115][45/63] lr: 8.2696e-04 eta: 4:40:13 time: 0.4930 data_time: 0.0252 memory: 12277 loss_text: 0.0935 loss_kernel: 0.0451 loss_embedding: 0.0193 loss: 0.1579 2022/08/26 16:02:27 - mmengine - INFO - Epoch(train) [115][50/63] lr: 8.2696e-04 eta: 4:40:05 time: 0.4815 data_time: 0.0184 memory: 12277 loss_text: 0.0823 loss_kernel: 0.0434 loss_embedding: 0.0195 loss: 0.1452 2022/08/26 16:02:29 - mmengine - INFO - Epoch(train) [115][55/63] lr: 8.2696e-04 eta: 4:40:05 time: 0.4883 data_time: 0.0185 memory: 12277 loss_text: 0.0861 loss_kernel: 0.0421 loss_embedding: 0.0197 loss: 0.1479 2022/08/26 16:02:32 - mmengine - INFO - Epoch(train) [115][60/63] lr: 8.2696e-04 eta: 4:39:57 time: 0.5057 data_time: 0.0204 memory: 12277 loss_text: 0.0854 loss_kernel: 0.0410 loss_embedding: 0.0190 loss: 0.1454 2022/08/26 16:02:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:02:37 - mmengine - INFO - Epoch(train) [116][5/63] lr: 8.2542e-04 eta: 4:39:57 time: 0.5845 data_time: 0.1393 memory: 12277 loss_text: 0.1038 loss_kernel: 0.0490 loss_embedding: 0.0233 loss: 0.1761 2022/08/26 16:02:39 - mmengine - INFO - Epoch(train) [116][10/63] lr: 8.2542e-04 eta: 4:39:46 time: 0.6224 data_time: 0.1371 memory: 12277 loss_text: 0.1003 loss_kernel: 0.0481 loss_embedding: 0.0242 loss: 0.1726 2022/08/26 16:02:42 - mmengine - INFO - Epoch(train) [116][15/63] lr: 8.2542e-04 eta: 4:39:46 time: 0.5572 data_time: 0.0244 memory: 12277 loss_text: 0.0922 loss_kernel: 0.0456 loss_embedding: 0.0258 loss: 0.1636 2022/08/26 16:02:45 - mmengine - INFO - Epoch(train) [116][20/63] lr: 8.2542e-04 eta: 4:39:40 time: 0.5360 data_time: 0.0278 memory: 12277 loss_text: 0.0969 loss_kernel: 0.0476 loss_embedding: 0.0258 loss: 0.1704 2022/08/26 16:02:47 - mmengine - INFO - Epoch(train) [116][25/63] lr: 8.2542e-04 eta: 4:39:40 time: 0.4932 data_time: 0.0282 memory: 12277 loss_text: 0.0935 loss_kernel: 0.0472 loss_embedding: 0.0263 loss: 0.1669 2022/08/26 16:02:50 - mmengine - INFO - Epoch(train) [116][30/63] lr: 8.2542e-04 eta: 4:39:33 time: 0.4993 data_time: 0.0211 memory: 12277 loss_text: 0.0875 loss_kernel: 0.0446 loss_embedding: 0.0266 loss: 0.1586 2022/08/26 16:02:52 - mmengine - INFO - Epoch(train) [116][35/63] lr: 8.2542e-04 eta: 4:39:33 time: 0.5100 data_time: 0.0211 memory: 12277 loss_text: 0.0941 loss_kernel: 0.0477 loss_embedding: 0.0244 loss: 0.1662 2022/08/26 16:02:55 - mmengine - INFO - Epoch(train) [116][40/63] lr: 8.2542e-04 eta: 4:39:26 time: 0.5205 data_time: 0.0274 memory: 12277 loss_text: 0.0953 loss_kernel: 0.0502 loss_embedding: 0.0237 loss: 0.1692 2022/08/26 16:02:58 - mmengine - INFO - Epoch(train) [116][45/63] lr: 8.2542e-04 eta: 4:39:26 time: 0.5252 data_time: 0.0247 memory: 12277 loss_text: 0.0822 loss_kernel: 0.0450 loss_embedding: 0.0233 loss: 0.1504 2022/08/26 16:03:00 - mmengine - INFO - Epoch(train) [116][50/63] lr: 8.2542e-04 eta: 4:39:19 time: 0.5038 data_time: 0.0192 memory: 12277 loss_text: 0.0774 loss_kernel: 0.0421 loss_embedding: 0.0219 loss: 0.1415 2022/08/26 16:03:03 - mmengine - INFO - Epoch(train) [116][55/63] lr: 8.2542e-04 eta: 4:39:19 time: 0.4945 data_time: 0.0188 memory: 12277 loss_text: 0.0896 loss_kernel: 0.0449 loss_embedding: 0.0234 loss: 0.1579 2022/08/26 16:03:05 - mmengine - INFO - Epoch(train) [116][60/63] lr: 8.2542e-04 eta: 4:39:12 time: 0.5213 data_time: 0.0244 memory: 12277 loss_text: 0.0904 loss_kernel: 0.0462 loss_embedding: 0.0229 loss: 0.1595 2022/08/26 16:03:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:03:10 - mmengine - INFO - Epoch(train) [117][5/63] lr: 8.2389e-04 eta: 4:39:12 time: 0.6001 data_time: 0.1459 memory: 12277 loss_text: 0.0849 loss_kernel: 0.0452 loss_embedding: 0.0187 loss: 0.1488 2022/08/26 16:03:13 - mmengine - INFO - Epoch(train) [117][10/63] lr: 8.2389e-04 eta: 4:39:02 time: 0.6524 data_time: 0.1477 memory: 12277 loss_text: 0.0903 loss_kernel: 0.0427 loss_embedding: 0.0247 loss: 0.1578 2022/08/26 16:03:15 - mmengine - INFO - Epoch(train) [117][15/63] lr: 8.2389e-04 eta: 4:39:02 time: 0.5138 data_time: 0.0344 memory: 12277 loss_text: 0.0923 loss_kernel: 0.0434 loss_embedding: 0.0256 loss: 0.1613 2022/08/26 16:03:18 - mmengine - INFO - Epoch(train) [117][20/63] lr: 8.2389e-04 eta: 4:38:54 time: 0.4871 data_time: 0.0344 memory: 12277 loss_text: 0.0926 loss_kernel: 0.0445 loss_embedding: 0.0278 loss: 0.1648 2022/08/26 16:03:20 - mmengine - INFO - Epoch(train) [117][25/63] lr: 8.2389e-04 eta: 4:38:54 time: 0.5036 data_time: 0.0203 memory: 12277 loss_text: 0.1000 loss_kernel: 0.0481 loss_embedding: 0.0296 loss: 0.1776 2022/08/26 16:03:23 - mmengine - INFO - Epoch(train) [117][30/63] lr: 8.2389e-04 eta: 4:38:47 time: 0.5157 data_time: 0.0208 memory: 12277 loss_text: 0.1032 loss_kernel: 0.0499 loss_embedding: 0.0271 loss: 0.1803 2022/08/26 16:03:26 - mmengine - INFO - Epoch(train) [117][35/63] lr: 8.2389e-04 eta: 4:38:47 time: 0.5174 data_time: 0.0210 memory: 12277 loss_text: 0.1053 loss_kernel: 0.0476 loss_embedding: 0.0284 loss: 0.1812 2022/08/26 16:03:28 - mmengine - INFO - Epoch(train) [117][40/63] lr: 8.2389e-04 eta: 4:38:41 time: 0.5196 data_time: 0.0259 memory: 12277 loss_text: 0.1041 loss_kernel: 0.0465 loss_embedding: 0.0295 loss: 0.1801 2022/08/26 16:03:31 - mmengine - INFO - Epoch(train) [117][45/63] lr: 8.2389e-04 eta: 4:38:41 time: 0.5112 data_time: 0.0257 memory: 12277 loss_text: 0.0990 loss_kernel: 0.0487 loss_embedding: 0.0267 loss: 0.1745 2022/08/26 16:03:33 - mmengine - INFO - Epoch(train) [117][50/63] lr: 8.2389e-04 eta: 4:38:34 time: 0.5181 data_time: 0.0207 memory: 12277 loss_text: 0.0967 loss_kernel: 0.0483 loss_embedding: 0.0229 loss: 0.1680 2022/08/26 16:03:36 - mmengine - INFO - Epoch(train) [117][55/63] lr: 8.2389e-04 eta: 4:38:34 time: 0.5063 data_time: 0.0219 memory: 12277 loss_text: 0.0915 loss_kernel: 0.0443 loss_embedding: 0.0243 loss: 0.1602 2022/08/26 16:03:38 - mmengine - INFO - Epoch(train) [117][60/63] lr: 8.2389e-04 eta: 4:38:26 time: 0.4848 data_time: 0.0245 memory: 12277 loss_text: 0.0984 loss_kernel: 0.0469 loss_embedding: 0.0268 loss: 0.1721 2022/08/26 16:03:40 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:03:43 - mmengine - INFO - Epoch(train) [118][5/63] lr: 8.2235e-04 eta: 4:38:26 time: 0.6226 data_time: 0.1597 memory: 12277 loss_text: 0.1041 loss_kernel: 0.0531 loss_embedding: 0.0249 loss: 0.1820 2022/08/26 16:03:46 - mmengine - INFO - Epoch(train) [118][10/63] lr: 8.2235e-04 eta: 4:38:15 time: 0.6359 data_time: 0.1645 memory: 12277 loss_text: 0.0905 loss_kernel: 0.0488 loss_embedding: 0.0255 loss: 0.1649 2022/08/26 16:03:49 - mmengine - INFO - Epoch(train) [118][15/63] lr: 8.2235e-04 eta: 4:38:15 time: 0.5047 data_time: 0.0287 memory: 12277 loss_text: 0.0792 loss_kernel: 0.0433 loss_embedding: 0.0256 loss: 0.1481 2022/08/26 16:03:51 - mmengine - INFO - Epoch(train) [118][20/63] lr: 8.2235e-04 eta: 4:38:08 time: 0.4952 data_time: 0.0277 memory: 12277 loss_text: 0.1006 loss_kernel: 0.0445 loss_embedding: 0.0225 loss: 0.1677 2022/08/26 16:03:53 - mmengine - INFO - Epoch(train) [118][25/63] lr: 8.2235e-04 eta: 4:38:08 time: 0.4857 data_time: 0.0251 memory: 12277 loss_text: 0.0959 loss_kernel: 0.0438 loss_embedding: 0.0217 loss: 0.1613 2022/08/26 16:03:56 - mmengine - INFO - Epoch(train) [118][30/63] lr: 8.2235e-04 eta: 4:38:00 time: 0.4995 data_time: 0.0222 memory: 12277 loss_text: 0.0747 loss_kernel: 0.0427 loss_embedding: 0.0235 loss: 0.1409 2022/08/26 16:03:59 - mmengine - INFO - Epoch(train) [118][35/63] lr: 8.2235e-04 eta: 4:38:00 time: 0.5112 data_time: 0.0205 memory: 12277 loss_text: 0.0748 loss_kernel: 0.0435 loss_embedding: 0.0242 loss: 0.1425 2022/08/26 16:04:01 - mmengine - INFO - Epoch(train) [118][40/63] lr: 8.2235e-04 eta: 4:37:53 time: 0.5067 data_time: 0.0257 memory: 12277 loss_text: 0.0759 loss_kernel: 0.0443 loss_embedding: 0.0238 loss: 0.1440 2022/08/26 16:04:04 - mmengine - INFO - Epoch(train) [118][45/63] lr: 8.2235e-04 eta: 4:37:53 time: 0.5413 data_time: 0.0280 memory: 12277 loss_text: 0.0825 loss_kernel: 0.0468 loss_embedding: 0.0261 loss: 0.1554 2022/08/26 16:04:06 - mmengine - INFO - Epoch(train) [118][50/63] lr: 8.2235e-04 eta: 4:37:47 time: 0.5300 data_time: 0.0243 memory: 12277 loss_text: 0.0816 loss_kernel: 0.0450 loss_embedding: 0.0256 loss: 0.1522 2022/08/26 16:04:09 - mmengine - INFO - Epoch(train) [118][55/63] lr: 8.2235e-04 eta: 4:37:47 time: 0.4968 data_time: 0.0214 memory: 12277 loss_text: 0.0752 loss_kernel: 0.0436 loss_embedding: 0.0233 loss: 0.1421 2022/08/26 16:04:11 - mmengine - INFO - Epoch(train) [118][60/63] lr: 8.2235e-04 eta: 4:37:39 time: 0.5079 data_time: 0.0242 memory: 12277 loss_text: 0.0782 loss_kernel: 0.0440 loss_embedding: 0.0220 loss: 0.1442 2022/08/26 16:04:13 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:04:17 - mmengine - INFO - Epoch(train) [119][5/63] lr: 8.2082e-04 eta: 4:37:39 time: 0.6106 data_time: 0.1414 memory: 12277 loss_text: 0.0825 loss_kernel: 0.0428 loss_embedding: 0.0222 loss: 0.1475 2022/08/26 16:04:19 - mmengine - INFO - Epoch(train) [119][10/63] lr: 8.2082e-04 eta: 4:37:30 time: 0.6440 data_time: 0.1454 memory: 12277 loss_text: 0.0957 loss_kernel: 0.0470 loss_embedding: 0.0200 loss: 0.1627 2022/08/26 16:04:22 - mmengine - INFO - Epoch(train) [119][15/63] lr: 8.2082e-04 eta: 4:37:30 time: 0.5084 data_time: 0.0251 memory: 12277 loss_text: 0.0917 loss_kernel: 0.0477 loss_embedding: 0.0204 loss: 0.1599 2022/08/26 16:04:24 - mmengine - INFO - Epoch(train) [119][20/63] lr: 8.2082e-04 eta: 4:37:23 time: 0.5166 data_time: 0.0250 memory: 12277 loss_text: 0.0788 loss_kernel: 0.0451 loss_embedding: 0.0221 loss: 0.1460 2022/08/26 16:04:27 - mmengine - INFO - Epoch(train) [119][25/63] lr: 8.2082e-04 eta: 4:37:23 time: 0.5161 data_time: 0.0258 memory: 12277 loss_text: 0.0837 loss_kernel: 0.0457 loss_embedding: 0.0216 loss: 0.1510 2022/08/26 16:04:29 - mmengine - INFO - Epoch(train) [119][30/63] lr: 8.2082e-04 eta: 4:37:16 time: 0.5070 data_time: 0.0235 memory: 12277 loss_text: 0.0803 loss_kernel: 0.0447 loss_embedding: 0.0207 loss: 0.1456 2022/08/26 16:04:32 - mmengine - INFO - Epoch(train) [119][35/63] lr: 8.2082e-04 eta: 4:37:16 time: 0.4967 data_time: 0.0271 memory: 12277 loss_text: 0.0725 loss_kernel: 0.0409 loss_embedding: 0.0208 loss: 0.1342 2022/08/26 16:04:34 - mmengine - INFO - Epoch(train) [119][40/63] lr: 8.2082e-04 eta: 4:37:09 time: 0.5126 data_time: 0.0296 memory: 12277 loss_text: 0.0857 loss_kernel: 0.0456 loss_embedding: 0.0220 loss: 0.1533 2022/08/26 16:04:37 - mmengine - INFO - Epoch(train) [119][45/63] lr: 8.2082e-04 eta: 4:37:09 time: 0.5116 data_time: 0.0258 memory: 12277 loss_text: 0.0884 loss_kernel: 0.0466 loss_embedding: 0.0230 loss: 0.1580 2022/08/26 16:04:39 - mmengine - INFO - Epoch(train) [119][50/63] lr: 8.2082e-04 eta: 4:37:01 time: 0.4965 data_time: 0.0261 memory: 12277 loss_text: 0.0835 loss_kernel: 0.0464 loss_embedding: 0.0224 loss: 0.1523 2022/08/26 16:04:42 - mmengine - INFO - Epoch(train) [119][55/63] lr: 8.2082e-04 eta: 4:37:01 time: 0.4929 data_time: 0.0275 memory: 12277 loss_text: 0.0828 loss_kernel: 0.0456 loss_embedding: 0.0227 loss: 0.1511 2022/08/26 16:04:44 - mmengine - INFO - Epoch(train) [119][60/63] lr: 8.2082e-04 eta: 4:36:54 time: 0.5007 data_time: 0.0267 memory: 12277 loss_text: 0.0928 loss_kernel: 0.0470 loss_embedding: 0.0241 loss: 0.1639 2022/08/26 16:04:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:04:49 - mmengine - INFO - Epoch(train) [120][5/63] lr: 8.1928e-04 eta: 4:36:54 time: 0.5654 data_time: 0.1245 memory: 12277 loss_text: 0.0963 loss_kernel: 0.0434 loss_embedding: 0.0246 loss: 0.1642 2022/08/26 16:04:52 - mmengine - INFO - Epoch(train) [120][10/63] lr: 8.1928e-04 eta: 4:36:43 time: 0.6158 data_time: 0.1361 memory: 12277 loss_text: 0.0946 loss_kernel: 0.0463 loss_embedding: 0.0226 loss: 0.1635 2022/08/26 16:04:54 - mmengine - INFO - Epoch(train) [120][15/63] lr: 8.1928e-04 eta: 4:36:43 time: 0.5330 data_time: 0.0331 memory: 12277 loss_text: 0.0967 loss_kernel: 0.0483 loss_embedding: 0.0231 loss: 0.1680 2022/08/26 16:04:57 - mmengine - INFO - Epoch(train) [120][20/63] lr: 8.1928e-04 eta: 4:36:35 time: 0.5065 data_time: 0.0239 memory: 12277 loss_text: 0.0976 loss_kernel: 0.0477 loss_embedding: 0.0220 loss: 0.1673 2022/08/26 16:05:00 - mmengine - INFO - Epoch(train) [120][25/63] lr: 8.1928e-04 eta: 4:36:35 time: 0.5060 data_time: 0.0221 memory: 12277 loss_text: 0.1026 loss_kernel: 0.0493 loss_embedding: 0.0233 loss: 0.1753 2022/08/26 16:05:02 - mmengine - INFO - Epoch(train) [120][30/63] lr: 8.1928e-04 eta: 4:36:30 time: 0.5372 data_time: 0.0482 memory: 12277 loss_text: 0.0917 loss_kernel: 0.0444 loss_embedding: 0.0238 loss: 0.1599 2022/08/26 16:05:05 - mmengine - INFO - Epoch(train) [120][35/63] lr: 8.1928e-04 eta: 4:36:30 time: 0.5210 data_time: 0.0564 memory: 12277 loss_text: 0.0824 loss_kernel: 0.0445 loss_embedding: 0.0210 loss: 0.1479 2022/08/26 16:05:07 - mmengine - INFO - Epoch(train) [120][40/63] lr: 8.1928e-04 eta: 4:36:22 time: 0.4935 data_time: 0.0299 memory: 12277 loss_text: 0.0778 loss_kernel: 0.0447 loss_embedding: 0.0202 loss: 0.1427 2022/08/26 16:05:10 - mmengine - INFO - Epoch(train) [120][45/63] lr: 8.1928e-04 eta: 4:36:22 time: 0.4991 data_time: 0.0223 memory: 12277 loss_text: 0.0784 loss_kernel: 0.0442 loss_embedding: 0.0211 loss: 0.1436 2022/08/26 16:05:12 - mmengine - INFO - Epoch(train) [120][50/63] lr: 8.1928e-04 eta: 4:36:15 time: 0.5128 data_time: 0.0271 memory: 12277 loss_text: 0.0775 loss_kernel: 0.0436 loss_embedding: 0.0213 loss: 0.1423 2022/08/26 16:05:15 - mmengine - INFO - Epoch(train) [120][55/63] lr: 8.1928e-04 eta: 4:36:15 time: 0.5370 data_time: 0.0309 memory: 12277 loss_text: 0.0866 loss_kernel: 0.0460 loss_embedding: 0.0236 loss: 0.1562 2022/08/26 16:05:18 - mmengine - INFO - Epoch(train) [120][60/63] lr: 8.1928e-04 eta: 4:36:10 time: 0.5665 data_time: 0.0295 memory: 12277 loss_text: 0.0903 loss_kernel: 0.0471 loss_embedding: 0.0238 loss: 0.1612 2022/08/26 16:05:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:05:19 - mmengine - INFO - Saving checkpoint at 120 epochs 2022/08/26 16:05:23 - mmengine - INFO - Epoch(val) [120][5/500] eta: 4:36:10 time: 0.0628 data_time: 0.0203 memory: 12277 2022/08/26 16:05:23 - mmengine - INFO - Epoch(val) [120][10/500] eta: 0:00:36 time: 0.0743 data_time: 0.0209 memory: 497 2022/08/26 16:05:23 - mmengine - INFO - Epoch(val) [120][15/500] eta: 0:00:36 time: 0.0341 data_time: 0.0024 memory: 539 2022/08/26 16:05:23 - mmengine - INFO - Epoch(val) [120][20/500] eta: 0:00:17 time: 0.0365 data_time: 0.0025 memory: 497 2022/08/26 16:05:24 - mmengine - INFO - Epoch(val) [120][25/500] eta: 0:00:17 time: 0.0333 data_time: 0.0026 memory: 505 2022/08/26 16:05:24 - mmengine - INFO - Epoch(val) [120][30/500] eta: 0:00:10 time: 0.0223 data_time: 0.0021 memory: 516 2022/08/26 16:05:24 - mmengine - INFO - Epoch(val) [120][35/500] eta: 0:00:10 time: 0.0221 data_time: 0.0018 memory: 497 2022/08/26 16:05:24 - mmengine - INFO - Epoch(val) [120][40/500] eta: 0:00:09 time: 0.0215 data_time: 0.0017 memory: 497 2022/08/26 16:05:24 - mmengine - INFO - Epoch(val) [120][45/500] eta: 0:00:09 time: 0.0186 data_time: 0.0017 memory: 480 2022/08/26 16:05:24 - mmengine - INFO - Epoch(val) [120][50/500] eta: 0:00:10 time: 0.0224 data_time: 0.0019 memory: 539 2022/08/26 16:05:24 - mmengine - INFO - Epoch(val) [120][55/500] eta: 0:00:10 time: 0.0260 data_time: 0.0023 memory: 561 2022/08/26 16:05:24 - mmengine - INFO - Epoch(val) [120][60/500] eta: 0:00:10 time: 0.0247 data_time: 0.0024 memory: 497 2022/08/26 16:05:24 - mmengine - INFO - Epoch(val) [120][65/500] eta: 0:00:10 time: 0.0245 data_time: 0.0025 memory: 597 2022/08/26 16:05:25 - mmengine - INFO - Epoch(val) [120][70/500] eta: 0:00:11 time: 0.0262 data_time: 0.0025 memory: 497 2022/08/26 16:05:25 - mmengine - INFO - Epoch(val) [120][75/500] eta: 0:00:11 time: 0.0312 data_time: 0.0025 memory: 556 2022/08/26 16:05:25 - mmengine - INFO - Epoch(val) [120][80/500] eta: 0:00:11 time: 0.0279 data_time: 0.0026 memory: 497 2022/08/26 16:05:25 - mmengine - INFO - Epoch(val) [120][85/500] eta: 0:00:11 time: 0.0249 data_time: 0.0026 memory: 564 2022/08/26 16:05:25 - mmengine - INFO - Epoch(val) [120][90/500] eta: 0:00:11 time: 0.0282 data_time: 0.0030 memory: 522 2022/08/26 16:05:25 - mmengine - INFO - Epoch(val) [120][95/500] eta: 0:00:11 time: 0.0308 data_time: 0.0032 memory: 756 2022/08/26 16:05:25 - mmengine - INFO - Epoch(val) [120][100/500] eta: 0:00:11 time: 0.0281 data_time: 0.0027 memory: 572 2022/08/26 16:05:26 - mmengine - INFO - Epoch(val) [120][105/500] eta: 0:00:11 time: 0.0235 data_time: 0.0024 memory: 539 2022/08/26 16:05:26 - mmengine - INFO - Epoch(val) [120][110/500] eta: 0:00:11 time: 0.0284 data_time: 0.0025 memory: 497 2022/08/26 16:05:26 - mmengine - INFO - Epoch(val) [120][115/500] eta: 0:00:11 time: 0.0301 data_time: 0.0027 memory: 497 2022/08/26 16:05:26 - mmengine - INFO - Epoch(val) [120][120/500] eta: 0:00:12 time: 0.0339 data_time: 0.0028 memory: 530 2022/08/26 16:05:26 - mmengine - INFO - Epoch(val) [120][125/500] eta: 0:00:12 time: 0.0336 data_time: 0.0025 memory: 497 2022/08/26 16:05:26 - mmengine - INFO - Epoch(val) [120][130/500] eta: 0:00:10 time: 0.0290 data_time: 0.0023 memory: 539 2022/08/26 16:05:26 - mmengine - INFO - Epoch(val) [120][135/500] eta: 0:00:10 time: 0.0273 data_time: 0.0026 memory: 497 2022/08/26 16:05:27 - mmengine - INFO - Epoch(val) [120][140/500] eta: 0:00:08 time: 0.0246 data_time: 0.0025 memory: 480 2022/08/26 16:05:27 - mmengine - INFO - Epoch(val) [120][145/500] eta: 0:00:08 time: 0.0259 data_time: 0.0024 memory: 751 2022/08/26 16:05:27 - mmengine - INFO - Epoch(val) [120][150/500] eta: 0:00:08 time: 0.0253 data_time: 0.0026 memory: 464 2022/08/26 16:05:27 - mmengine - INFO - Epoch(val) [120][155/500] eta: 0:00:08 time: 0.0249 data_time: 0.0025 memory: 516 2022/08/26 16:05:27 - mmengine - INFO - Epoch(val) [120][160/500] eta: 0:00:08 time: 0.0241 data_time: 0.0024 memory: 539 2022/08/26 16:05:27 - mmengine - INFO - Epoch(val) [120][165/500] eta: 0:00:08 time: 0.0225 data_time: 0.0023 memory: 497 2022/08/26 16:05:27 - mmengine - INFO - Epoch(val) [120][170/500] eta: 0:00:07 time: 0.0224 data_time: 0.0021 memory: 514 2022/08/26 16:05:27 - mmengine - INFO - Epoch(val) [120][175/500] eta: 0:00:07 time: 0.0268 data_time: 0.0022 memory: 539 2022/08/26 16:05:28 - mmengine - INFO - Epoch(val) [120][180/500] eta: 0:00:08 time: 0.0269 data_time: 0.0025 memory: 539 2022/08/26 16:05:28 - mmengine - INFO - Epoch(val) [120][185/500] eta: 0:00:08 time: 0.0220 data_time: 0.0023 memory: 489 2022/08/26 16:05:28 - mmengine - INFO - Epoch(val) [120][190/500] eta: 0:00:06 time: 0.0205 data_time: 0.0018 memory: 516 2022/08/26 16:05:28 - mmengine - INFO - Epoch(val) [120][195/500] eta: 0:00:06 time: 0.0206 data_time: 0.0019 memory: 516 2022/08/26 16:05:28 - mmengine - INFO - Epoch(val) [120][200/500] eta: 0:00:06 time: 0.0218 data_time: 0.0021 memory: 516 2022/08/26 16:05:28 - mmengine - INFO - Epoch(val) [120][205/500] eta: 0:00:06 time: 0.0265 data_time: 0.0021 memory: 664 2022/08/26 16:05:28 - mmengine - INFO - Epoch(val) [120][210/500] eta: 0:00:09 time: 0.0329 data_time: 0.0023 memory: 497 2022/08/26 16:05:28 - mmengine - INFO - Epoch(val) [120][215/500] eta: 0:00:09 time: 0.0291 data_time: 0.0022 memory: 514 2022/08/26 16:05:29 - mmengine - INFO - Epoch(val) [120][220/500] eta: 0:00:06 time: 0.0239 data_time: 0.0022 memory: 572 2022/08/26 16:05:29 - mmengine - INFO - Epoch(val) [120][225/500] eta: 0:00:06 time: 0.0212 data_time: 0.0021 memory: 497 2022/08/26 16:05:29 - mmengine - INFO - Epoch(val) [120][230/500] eta: 0:00:07 time: 0.0273 data_time: 0.0019 memory: 507 2022/08/26 16:05:29 - mmengine - INFO - Epoch(val) [120][235/500] eta: 0:00:07 time: 0.0287 data_time: 0.0019 memory: 497 2022/08/26 16:05:29 - mmengine - INFO - Epoch(val) [120][240/500] eta: 0:00:05 time: 0.0216 data_time: 0.0020 memory: 497 2022/08/26 16:05:29 - mmengine - INFO - Epoch(val) [120][245/500] eta: 0:00:05 time: 0.0225 data_time: 0.0019 memory: 648 2022/08/26 16:05:29 - mmengine - INFO - Epoch(val) [120][250/500] eta: 0:00:05 time: 0.0223 data_time: 0.0018 memory: 497 2022/08/26 16:05:30 - mmengine - INFO - Epoch(val) [120][255/500] eta: 0:00:05 time: 0.0373 data_time: 0.0018 memory: 543 2022/08/26 16:05:30 - mmengine - INFO - Epoch(val) [120][260/500] eta: 0:00:08 time: 0.0365 data_time: 0.0019 memory: 516 2022/08/26 16:05:30 - mmengine - INFO - Epoch(val) [120][265/500] eta: 0:00:08 time: 0.0212 data_time: 0.0019 memory: 622 2022/08/26 16:05:30 - mmengine - INFO - Epoch(val) [120][270/500] eta: 0:00:06 time: 0.0287 data_time: 0.0029 memory: 505 2022/08/26 16:05:30 - mmengine - INFO - Epoch(val) [120][275/500] eta: 0:00:06 time: 0.0352 data_time: 0.0034 memory: 539 2022/08/26 16:05:30 - mmengine - INFO - Epoch(val) [120][280/500] eta: 0:00:06 time: 0.0284 data_time: 0.0027 memory: 473 2022/08/26 16:05:30 - mmengine - INFO - Epoch(val) [120][285/500] eta: 0:00:06 time: 0.0265 data_time: 0.0023 memory: 481 2022/08/26 16:05:31 - mmengine - INFO - Epoch(val) [120][290/500] eta: 0:00:05 time: 0.0277 data_time: 0.0019 memory: 464 2022/08/26 16:05:31 - mmengine - INFO - Epoch(val) [120][295/500] eta: 0:00:05 time: 0.0244 data_time: 0.0017 memory: 489 2022/08/26 16:05:31 - mmengine - INFO - Epoch(val) [120][300/500] eta: 0:00:04 time: 0.0233 data_time: 0.0021 memory: 497 2022/08/26 16:05:31 - mmengine - INFO - Epoch(val) [120][305/500] eta: 0:00:04 time: 0.0201 data_time: 0.0023 memory: 597 2022/08/26 16:05:31 - mmengine - INFO - Epoch(val) [120][310/500] eta: 0:00:04 time: 0.0211 data_time: 0.0020 memory: 606 2022/08/26 16:05:31 - mmengine - INFO - Epoch(val) [120][315/500] eta: 0:00:04 time: 0.0230 data_time: 0.0021 memory: 539 2022/08/26 16:05:31 - mmengine - INFO - Epoch(val) [120][320/500] eta: 0:00:04 time: 0.0237 data_time: 0.0022 memory: 499 2022/08/26 16:05:31 - mmengine - INFO - Epoch(val) [120][325/500] eta: 0:00:04 time: 0.0224 data_time: 0.0022 memory: 497 2022/08/26 16:05:31 - mmengine - INFO - Epoch(val) [120][330/500] eta: 0:00:03 time: 0.0208 data_time: 0.0021 memory: 497 2022/08/26 16:05:32 - mmengine - INFO - Epoch(val) [120][335/500] eta: 0:00:03 time: 0.0220 data_time: 0.0021 memory: 497 2022/08/26 16:05:32 - mmengine - INFO - Epoch(val) [120][340/500] eta: 0:00:03 time: 0.0220 data_time: 0.0020 memory: 522 2022/08/26 16:05:32 - mmengine - INFO - Epoch(val) [120][345/500] eta: 0:00:03 time: 0.0279 data_time: 0.0030 memory: 572 2022/08/26 16:05:32 - mmengine - INFO - Epoch(val) [120][350/500] eta: 0:00:04 time: 0.0307 data_time: 0.0030 memory: 499 2022/08/26 16:05:32 - mmengine - INFO - Epoch(val) [120][355/500] eta: 0:00:04 time: 0.0280 data_time: 0.0020 memory: 525 2022/08/26 16:05:32 - mmengine - INFO - Epoch(val) [120][360/500] eta: 0:00:03 time: 0.0254 data_time: 0.0031 memory: 525 2022/08/26 16:05:32 - mmengine - INFO - Epoch(val) [120][365/500] eta: 0:00:03 time: 0.0241 data_time: 0.0033 memory: 707 2022/08/26 16:05:32 - mmengine - INFO - Epoch(val) [120][370/500] eta: 0:00:02 time: 0.0229 data_time: 0.0022 memory: 539 2022/08/26 16:05:33 - mmengine - INFO - Epoch(val) [120][375/500] eta: 0:00:02 time: 0.0221 data_time: 0.0021 memory: 765 2022/08/26 16:05:33 - mmengine - INFO - Epoch(val) [120][380/500] eta: 0:00:02 time: 0.0245 data_time: 0.0021 memory: 572 2022/08/26 16:05:33 - mmengine - INFO - Epoch(val) [120][385/500] eta: 0:00:02 time: 0.0727 data_time: 0.0054 memory: 497 2022/08/26 16:05:33 - mmengine - INFO - Epoch(val) [120][390/500] eta: 0:00:08 time: 0.0733 data_time: 0.0063 memory: 539 2022/08/26 16:05:34 - mmengine - INFO - Epoch(val) [120][395/500] eta: 0:00:08 time: 0.0315 data_time: 0.0031 memory: 489 2022/08/26 16:05:34 - mmengine - INFO - Epoch(val) [120][400/500] eta: 0:00:03 time: 0.0353 data_time: 0.0024 memory: 497 2022/08/26 16:05:34 - mmengine - INFO - Epoch(val) [120][405/500] eta: 0:00:03 time: 0.0260 data_time: 0.0023 memory: 497 2022/08/26 16:05:34 - mmengine - INFO - Epoch(val) [120][410/500] eta: 0:00:01 time: 0.0215 data_time: 0.0022 memory: 497 2022/08/26 16:05:34 - mmengine - INFO - Epoch(val) [120][415/500] eta: 0:00:01 time: 0.0237 data_time: 0.0021 memory: 497 2022/08/26 16:05:34 - mmengine - INFO - Epoch(val) [120][420/500] eta: 0:00:02 time: 0.0255 data_time: 0.0021 memory: 497 2022/08/26 16:05:34 - mmengine - INFO - Epoch(val) [120][425/500] eta: 0:00:02 time: 0.0265 data_time: 0.0021 memory: 489 2022/08/26 16:05:34 - mmengine - INFO - Epoch(val) [120][430/500] eta: 0:00:01 time: 0.0234 data_time: 0.0021 memory: 516 2022/08/26 16:05:35 - mmengine - INFO - Epoch(val) [120][435/500] eta: 0:00:01 time: 0.0294 data_time: 0.0020 memory: 681 2022/08/26 16:05:35 - mmengine - INFO - Epoch(val) [120][440/500] eta: 0:00:01 time: 0.0310 data_time: 0.0021 memory: 539 2022/08/26 16:05:35 - mmengine - INFO - Epoch(val) [120][445/500] eta: 0:00:01 time: 0.0244 data_time: 0.0022 memory: 489 2022/08/26 16:05:35 - mmengine - INFO - Epoch(val) [120][450/500] eta: 0:00:01 time: 0.0238 data_time: 0.0024 memory: 507 2022/08/26 16:05:35 - mmengine - INFO - Epoch(val) [120][455/500] eta: 0:00:01 time: 0.0276 data_time: 0.0025 memory: 606 2022/08/26 16:05:35 - mmengine - INFO - Epoch(val) [120][460/500] eta: 0:00:01 time: 0.0282 data_time: 0.0024 memory: 499 2022/08/26 16:05:35 - mmengine - INFO - Epoch(val) [120][465/500] eta: 0:00:01 time: 0.0243 data_time: 0.0024 memory: 539 2022/08/26 16:05:36 - mmengine - INFO - Epoch(val) [120][470/500] eta: 0:00:00 time: 0.0228 data_time: 0.0023 memory: 516 2022/08/26 16:05:36 - mmengine - INFO - Epoch(val) [120][475/500] eta: 0:00:00 time: 0.0250 data_time: 0.0023 memory: 507 2022/08/26 16:05:36 - mmengine - INFO - Epoch(val) [120][480/500] eta: 0:00:00 time: 0.0266 data_time: 0.0025 memory: 464 2022/08/26 16:05:36 - mmengine - INFO - Epoch(val) [120][485/500] eta: 0:00:00 time: 0.0274 data_time: 0.0026 memory: 497 2022/08/26 16:05:36 - mmengine - INFO - Epoch(val) [120][490/500] eta: 0:00:00 time: 0.0244 data_time: 0.0022 memory: 497 2022/08/26 16:05:36 - mmengine - INFO - Epoch(val) [120][495/500] eta: 0:00:00 time: 0.0239 data_time: 0.0021 memory: 480 2022/08/26 16:05:36 - mmengine - INFO - Epoch(val) [120][500/500] eta: 0:00:00 time: 0.0252 data_time: 0.0025 memory: 522 2022/08/26 16:05:36 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 16:05:36 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7311, precision: 0.6527, hmean: 0.6897 2022/08/26 16:05:36 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7311, precision: 0.6527, hmean: 0.6897 2022/08/26 16:05:36 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7311, precision: 0.6527, hmean: 0.6897 2022/08/26 16:05:36 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7311, precision: 0.6527, hmean: 0.6897 2022/08/26 16:05:36 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7311, precision: 0.6527, hmean: 0.6897 2022/08/26 16:05:36 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7311, precision: 0.6548, hmean: 0.6908 2022/08/26 16:05:36 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7311, precision: 0.6727, hmean: 0.7006 2022/08/26 16:05:36 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7301, precision: 0.7033, hmean: 0.7165 2022/08/26 16:05:36 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7272, precision: 0.7346, hmean: 0.7308 2022/08/26 16:05:36 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7220, precision: 0.7639, hmean: 0.7424 2022/08/26 16:05:36 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7141, precision: 0.7945, hmean: 0.7522 2022/08/26 16:05:36 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.6930, precision: 0.8168, hmean: 0.7498 2022/08/26 16:05:36 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6403, precision: 0.8415, hmean: 0.7272 2022/08/26 16:05:36 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.3535, precision: 0.8881, hmean: 0.5057 2022/08/26 16:05:36 - mmengine - INFO - Epoch(val) [120][500/500] icdar/precision: 0.7945 icdar/recall: 0.7141 icdar/hmean: 0.7522 2022/08/26 16:05:41 - mmengine - INFO - Epoch(train) [121][5/63] lr: 8.1774e-04 eta: 0:00:00 time: 0.7207 data_time: 0.2187 memory: 12277 loss_text: 0.0886 loss_kernel: 0.0425 loss_embedding: 0.0238 loss: 0.1550 2022/08/26 16:05:44 - mmengine - INFO - Epoch(train) [121][10/63] lr: 8.1774e-04 eta: 4:36:05 time: 0.7667 data_time: 0.2367 memory: 12277 loss_text: 0.0927 loss_kernel: 0.0433 loss_embedding: 0.0213 loss: 0.1573 2022/08/26 16:05:47 - mmengine - INFO - Epoch(train) [121][15/63] lr: 8.1774e-04 eta: 4:36:05 time: 0.5686 data_time: 0.0480 memory: 12277 loss_text: 0.1048 loss_kernel: 0.0462 loss_embedding: 0.0235 loss: 0.1745 2022/08/26 16:05:50 - mmengine - INFO - Epoch(train) [121][20/63] lr: 8.1774e-04 eta: 4:36:00 time: 0.5573 data_time: 0.0328 memory: 12277 loss_text: 0.0942 loss_kernel: 0.0448 loss_embedding: 0.0259 loss: 0.1649 2022/08/26 16:05:54 - mmengine - INFO - Epoch(train) [121][25/63] lr: 8.1774e-04 eta: 4:36:00 time: 0.7462 data_time: 0.0300 memory: 12277 loss_text: 0.0778 loss_kernel: 0.0430 loss_embedding: 0.0235 loss: 0.1443 2022/08/26 16:05:58 - mmengine - INFO - Epoch(train) [121][30/63] lr: 8.1774e-04 eta: 4:36:04 time: 0.7852 data_time: 0.0484 memory: 12277 loss_text: 0.0959 loss_kernel: 0.0501 loss_embedding: 0.0220 loss: 0.1680 2022/08/26 16:06:00 - mmengine - INFO - Epoch(train) [121][35/63] lr: 8.1774e-04 eta: 4:36:04 time: 0.6133 data_time: 0.0531 memory: 12277 loss_text: 0.1023 loss_kernel: 0.0508 loss_embedding: 0.0238 loss: 0.1769 2022/08/26 16:06:04 - mmengine - INFO - Epoch(train) [121][40/63] lr: 8.1774e-04 eta: 4:36:02 time: 0.6297 data_time: 0.0360 memory: 12277 loss_text: 0.0831 loss_kernel: 0.0455 loss_embedding: 0.0250 loss: 0.1536 2022/08/26 16:06:07 - mmengine - INFO - Epoch(train) [121][45/63] lr: 8.1774e-04 eta: 4:36:02 time: 0.6168 data_time: 0.0286 memory: 12277 loss_text: 0.0833 loss_kernel: 0.0465 loss_embedding: 0.0255 loss: 0.1553 2022/08/26 16:06:09 - mmengine - INFO - Epoch(train) [121][50/63] lr: 8.1774e-04 eta: 4:35:57 time: 0.5560 data_time: 0.0270 memory: 12277 loss_text: 0.0810 loss_kernel: 0.0453 loss_embedding: 0.0250 loss: 0.1513 2022/08/26 16:06:14 - mmengine - INFO - Epoch(train) [121][55/63] lr: 8.1774e-04 eta: 4:35:57 time: 0.6847 data_time: 0.0282 memory: 12277 loss_text: 0.0761 loss_kernel: 0.0439 loss_embedding: 0.0206 loss: 0.1406 2022/08/26 16:06:16 - mmengine - INFO - Epoch(train) [121][60/63] lr: 8.1774e-04 eta: 4:35:57 time: 0.6999 data_time: 0.0300 memory: 12277 loss_text: 0.0794 loss_kernel: 0.0474 loss_embedding: 0.0186 loss: 0.1454 2022/08/26 16:06:18 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:06:23 - mmengine - INFO - Epoch(train) [122][5/63] lr: 8.1621e-04 eta: 4:35:57 time: 0.7364 data_time: 0.2113 memory: 12277 loss_text: 0.0831 loss_kernel: 0.0483 loss_embedding: 0.0201 loss: 0.1515 2022/08/26 16:06:26 - mmengine - INFO - Epoch(train) [122][10/63] lr: 8.1621e-04 eta: 4:35:52 time: 0.7736 data_time: 0.2127 memory: 12277 loss_text: 0.0832 loss_kernel: 0.0445 loss_embedding: 0.0190 loss: 0.1467 2022/08/26 16:06:28 - mmengine - INFO - Epoch(train) [122][15/63] lr: 8.1621e-04 eta: 4:35:52 time: 0.5739 data_time: 0.0239 memory: 12277 loss_text: 0.0744 loss_kernel: 0.0403 loss_embedding: 0.0194 loss: 0.1342 2022/08/26 16:06:31 - mmengine - INFO - Epoch(train) [122][20/63] lr: 8.1621e-04 eta: 4:35:48 time: 0.5625 data_time: 0.0239 memory: 12277 loss_text: 0.0780 loss_kernel: 0.0417 loss_embedding: 0.0241 loss: 0.1438 2022/08/26 16:06:35 - mmengine - INFO - Epoch(train) [122][25/63] lr: 8.1621e-04 eta: 4:35:48 time: 0.6790 data_time: 0.0392 memory: 12277 loss_text: 0.0823 loss_kernel: 0.0457 loss_embedding: 0.0255 loss: 0.1534 2022/08/26 16:06:38 - mmengine - INFO - Epoch(train) [122][30/63] lr: 8.1621e-04 eta: 4:35:47 time: 0.6797 data_time: 0.0450 memory: 12277 loss_text: 0.0859 loss_kernel: 0.0467 loss_embedding: 0.0233 loss: 0.1559 2022/08/26 16:06:41 - mmengine - INFO - Epoch(train) [122][35/63] lr: 8.1621e-04 eta: 4:35:47 time: 0.5806 data_time: 0.0322 memory: 12277 loss_text: 0.0918 loss_kernel: 0.0445 loss_embedding: 0.0212 loss: 0.1575 2022/08/26 16:06:44 - mmengine - INFO - Epoch(train) [122][40/63] lr: 8.1621e-04 eta: 4:35:44 time: 0.6106 data_time: 0.0325 memory: 12277 loss_text: 0.0788 loss_kernel: 0.0416 loss_embedding: 0.0196 loss: 0.1400 2022/08/26 16:06:47 - mmengine - INFO - Epoch(train) [122][45/63] lr: 8.1621e-04 eta: 4:35:44 time: 0.6039 data_time: 0.0309 memory: 12277 loss_text: 0.0720 loss_kernel: 0.0410 loss_embedding: 0.0206 loss: 0.1336 2022/08/26 16:06:50 - mmengine - INFO - Epoch(train) [122][50/63] lr: 8.1621e-04 eta: 4:35:39 time: 0.5590 data_time: 0.0293 memory: 12277 loss_text: 0.0855 loss_kernel: 0.0454 loss_embedding: 0.0206 loss: 0.1516 2022/08/26 16:06:54 - mmengine - INFO - Epoch(train) [122][55/63] lr: 8.1621e-04 eta: 4:35:39 time: 0.6775 data_time: 0.0335 memory: 12277 loss_text: 0.0874 loss_kernel: 0.0473 loss_embedding: 0.0201 loss: 0.1548 2022/08/26 16:06:57 - mmengine - INFO - Epoch(train) [122][60/63] lr: 8.1621e-04 eta: 4:35:39 time: 0.6836 data_time: 0.0287 memory: 12277 loss_text: 0.0776 loss_kernel: 0.0445 loss_embedding: 0.0198 loss: 0.1419 2022/08/26 16:06:58 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:07:02 - mmengine - INFO - Epoch(train) [123][5/63] lr: 8.1467e-04 eta: 4:35:39 time: 0.6842 data_time: 0.1735 memory: 12277 loss_text: 0.0713 loss_kernel: 0.0413 loss_embedding: 0.0183 loss: 0.1309 2022/08/26 16:07:05 - mmengine - INFO - Epoch(train) [123][10/63] lr: 8.1467e-04 eta: 4:35:33 time: 0.7376 data_time: 0.1889 memory: 12277 loss_text: 0.0711 loss_kernel: 0.0426 loss_embedding: 0.0198 loss: 0.1335 2022/08/26 16:07:08 - mmengine - INFO - Epoch(train) [123][15/63] lr: 8.1467e-04 eta: 4:35:33 time: 0.6002 data_time: 0.0525 memory: 12277 loss_text: 0.0791 loss_kernel: 0.0464 loss_embedding: 0.0211 loss: 0.1467 2022/08/26 16:07:11 - mmengine - INFO - Epoch(train) [123][20/63] lr: 8.1467e-04 eta: 4:35:27 time: 0.5532 data_time: 0.0348 memory: 12277 loss_text: 0.0775 loss_kernel: 0.0453 loss_embedding: 0.0209 loss: 0.1437 2022/08/26 16:07:14 - mmengine - INFO - Epoch(train) [123][25/63] lr: 8.1467e-04 eta: 4:35:27 time: 0.6076 data_time: 0.0261 memory: 12277 loss_text: 0.0700 loss_kernel: 0.0407 loss_embedding: 0.0208 loss: 0.1315 2022/08/26 16:07:17 - mmengine - INFO - Epoch(train) [123][30/63] lr: 8.1467e-04 eta: 4:35:25 time: 0.6212 data_time: 0.0366 memory: 12277 loss_text: 0.0777 loss_kernel: 0.0436 loss_embedding: 0.0203 loss: 0.1416 2022/08/26 16:07:20 - mmengine - INFO - Epoch(train) [123][35/63] lr: 8.1467e-04 eta: 4:35:25 time: 0.5352 data_time: 0.0325 memory: 12277 loss_text: 0.0809 loss_kernel: 0.0443 loss_embedding: 0.0198 loss: 0.1450 2022/08/26 16:07:22 - mmengine - INFO - Epoch(train) [123][40/63] lr: 8.1467e-04 eta: 4:35:18 time: 0.5243 data_time: 0.0248 memory: 12277 loss_text: 0.0783 loss_kernel: 0.0416 loss_embedding: 0.0204 loss: 0.1403 2022/08/26 16:07:25 - mmengine - INFO - Epoch(train) [123][45/63] lr: 8.1467e-04 eta: 4:35:18 time: 0.5227 data_time: 0.0214 memory: 12277 loss_text: 0.0795 loss_kernel: 0.0456 loss_embedding: 0.0195 loss: 0.1446 2022/08/26 16:07:28 - mmengine - INFO - Epoch(train) [123][50/63] lr: 8.1467e-04 eta: 4:35:12 time: 0.5412 data_time: 0.0285 memory: 12277 loss_text: 0.0761 loss_kernel: 0.0458 loss_embedding: 0.0195 loss: 0.1415 2022/08/26 16:07:31 - mmengine - INFO - Epoch(train) [123][55/63] lr: 8.1467e-04 eta: 4:35:12 time: 0.5908 data_time: 0.0392 memory: 12277 loss_text: 0.0791 loss_kernel: 0.0437 loss_embedding: 0.0222 loss: 0.1450 2022/08/26 16:07:34 - mmengine - INFO - Epoch(train) [123][60/63] lr: 8.1467e-04 eta: 4:35:09 time: 0.5934 data_time: 0.0319 memory: 12277 loss_text: 0.0934 loss_kernel: 0.0450 loss_embedding: 0.0251 loss: 0.1635 2022/08/26 16:07:35 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:07:39 - mmengine - INFO - Epoch(train) [124][5/63] lr: 8.1313e-04 eta: 4:35:09 time: 0.6824 data_time: 0.1703 memory: 12277 loss_text: 0.0784 loss_kernel: 0.0422 loss_embedding: 0.0180 loss: 0.1386 2022/08/26 16:07:43 - mmengine - INFO - Epoch(train) [124][10/63] lr: 8.1313e-04 eta: 4:35:03 time: 0.7638 data_time: 0.1824 memory: 12277 loss_text: 0.0845 loss_kernel: 0.0459 loss_embedding: 0.0188 loss: 0.1491 2022/08/26 16:07:46 - mmengine - INFO - Epoch(train) [124][15/63] lr: 8.1313e-04 eta: 4:35:03 time: 0.6160 data_time: 0.0369 memory: 12277 loss_text: 0.0900 loss_kernel: 0.0501 loss_embedding: 0.0235 loss: 0.1637 2022/08/26 16:07:48 - mmengine - INFO - Epoch(train) [124][20/63] lr: 8.1313e-04 eta: 4:34:58 time: 0.5659 data_time: 0.0266 memory: 12277 loss_text: 0.0775 loss_kernel: 0.0473 loss_embedding: 0.0263 loss: 0.1510 2022/08/26 16:07:51 - mmengine - INFO - Epoch(train) [124][25/63] lr: 8.1313e-04 eta: 4:34:58 time: 0.5601 data_time: 0.0280 memory: 12277 loss_text: 0.0741 loss_kernel: 0.0456 loss_embedding: 0.0226 loss: 0.1423 2022/08/26 16:07:56 - mmengine - INFO - Epoch(train) [124][30/63] lr: 8.1313e-04 eta: 4:35:03 time: 0.8137 data_time: 0.0400 memory: 12277 loss_text: 0.0875 loss_kernel: 0.0477 loss_embedding: 0.0200 loss: 0.1552 2022/08/26 16:07:59 - mmengine - INFO - Epoch(train) [124][35/63] lr: 8.1313e-04 eta: 4:35:03 time: 0.8213 data_time: 0.0380 memory: 12277 loss_text: 0.0884 loss_kernel: 0.0451 loss_embedding: 0.0201 loss: 0.1536 2022/08/26 16:08:02 - mmengine - INFO - Epoch(train) [124][40/63] lr: 8.1313e-04 eta: 4:34:58 time: 0.5609 data_time: 0.0305 memory: 12277 loss_text: 0.0884 loss_kernel: 0.0446 loss_embedding: 0.0207 loss: 0.1537 2022/08/26 16:08:05 - mmengine - INFO - Epoch(train) [124][45/63] lr: 8.1313e-04 eta: 4:34:58 time: 0.5613 data_time: 0.0347 memory: 12277 loss_text: 0.0822 loss_kernel: 0.0440 loss_embedding: 0.0206 loss: 0.1468 2022/08/26 16:08:08 - mmengine - INFO - Epoch(train) [124][50/63] lr: 8.1313e-04 eta: 4:34:54 time: 0.5784 data_time: 0.0323 memory: 12277 loss_text: 0.0699 loss_kernel: 0.0429 loss_embedding: 0.0198 loss: 0.1325 2022/08/26 16:08:11 - mmengine - INFO - Epoch(train) [124][55/63] lr: 8.1313e-04 eta: 4:34:54 time: 0.5659 data_time: 0.0277 memory: 12277 loss_text: 0.0745 loss_kernel: 0.0444 loss_embedding: 0.0224 loss: 0.1413 2022/08/26 16:08:14 - mmengine - INFO - Epoch(train) [124][60/63] lr: 8.1313e-04 eta: 4:34:50 time: 0.5911 data_time: 0.0262 memory: 12277 loss_text: 0.0983 loss_kernel: 0.0499 loss_embedding: 0.0232 loss: 0.1714 2022/08/26 16:08:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:08:20 - mmengine - INFO - Epoch(train) [125][5/63] lr: 8.1160e-04 eta: 4:34:50 time: 0.6846 data_time: 0.1906 memory: 12277 loss_text: 0.0988 loss_kernel: 0.0447 loss_embedding: 0.0224 loss: 0.1659 2022/08/26 16:08:23 - mmengine - INFO - Epoch(train) [125][10/63] lr: 8.1160e-04 eta: 4:34:44 time: 0.7499 data_time: 0.2283 memory: 12277 loss_text: 0.0966 loss_kernel: 0.0452 loss_embedding: 0.0213 loss: 0.1631 2022/08/26 16:08:26 - mmengine - INFO - Epoch(train) [125][15/63] lr: 8.1160e-04 eta: 4:34:44 time: 0.6143 data_time: 0.0703 memory: 12277 loss_text: 0.1059 loss_kernel: 0.0471 loss_embedding: 0.0213 loss: 0.1743 2022/08/26 16:08:29 - mmengine - INFO - Epoch(train) [125][20/63] lr: 8.1160e-04 eta: 4:34:40 time: 0.5911 data_time: 0.0352 memory: 12277 loss_text: 0.0970 loss_kernel: 0.0467 loss_embedding: 0.0228 loss: 0.1665 2022/08/26 16:08:31 - mmengine - INFO - Epoch(train) [125][25/63] lr: 8.1160e-04 eta: 4:34:40 time: 0.5445 data_time: 0.0289 memory: 12277 loss_text: 0.0963 loss_kernel: 0.0480 loss_embedding: 0.0228 loss: 0.1671 2022/08/26 16:08:35 - mmengine - INFO - Epoch(train) [125][30/63] lr: 8.1160e-04 eta: 4:34:39 time: 0.6558 data_time: 0.0307 memory: 12277 loss_text: 0.0936 loss_kernel: 0.0449 loss_embedding: 0.0222 loss: 0.1607 2022/08/26 16:08:38 - mmengine - INFO - Epoch(train) [125][35/63] lr: 8.1160e-04 eta: 4:34:39 time: 0.6596 data_time: 0.0305 memory: 12277 loss_text: 0.0982 loss_kernel: 0.0477 loss_embedding: 0.0217 loss: 0.1677 2022/08/26 16:08:41 - mmengine - INFO - Epoch(train) [125][40/63] lr: 8.1160e-04 eta: 4:34:33 time: 0.5395 data_time: 0.0260 memory: 12277 loss_text: 0.1047 loss_kernel: 0.0495 loss_embedding: 0.0215 loss: 0.1757 2022/08/26 16:08:43 - mmengine - INFO - Epoch(train) [125][45/63] lr: 8.1160e-04 eta: 4:34:33 time: 0.5378 data_time: 0.0258 memory: 12277 loss_text: 0.0924 loss_kernel: 0.0471 loss_embedding: 0.0247 loss: 0.1643 2022/08/26 16:08:46 - mmengine - INFO - Epoch(train) [125][50/63] lr: 8.1160e-04 eta: 4:34:28 time: 0.5687 data_time: 0.0276 memory: 12277 loss_text: 0.0861 loss_kernel: 0.0472 loss_embedding: 0.0247 loss: 0.1580 2022/08/26 16:08:49 - mmengine - INFO - Epoch(train) [125][55/63] lr: 8.1160e-04 eta: 4:34:28 time: 0.6065 data_time: 0.0294 memory: 12277 loss_text: 0.0868 loss_kernel: 0.0468 loss_embedding: 0.0227 loss: 0.1563 2022/08/26 16:08:52 - mmengine - INFO - Epoch(train) [125][60/63] lr: 8.1160e-04 eta: 4:34:23 time: 0.5762 data_time: 0.0301 memory: 12277 loss_text: 0.0838 loss_kernel: 0.0459 loss_embedding: 0.0250 loss: 0.1547 2022/08/26 16:08:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:08:58 - mmengine - INFO - Epoch(train) [126][5/63] lr: 8.1006e-04 eta: 4:34:23 time: 0.7347 data_time: 0.1940 memory: 12277 loss_text: 0.0803 loss_kernel: 0.0451 loss_embedding: 0.0241 loss: 0.1495 2022/08/26 16:09:01 - mmengine - INFO - Epoch(train) [126][10/63] lr: 8.1006e-04 eta: 4:34:16 time: 0.6950 data_time: 0.1800 memory: 12277 loss_text: 0.0721 loss_kernel: 0.0431 loss_embedding: 0.0227 loss: 0.1380 2022/08/26 16:09:04 - mmengine - INFO - Epoch(train) [126][15/63] lr: 8.1006e-04 eta: 4:34:16 time: 0.5586 data_time: 0.0308 memory: 12277 loss_text: 0.0728 loss_kernel: 0.0420 loss_embedding: 0.0215 loss: 0.1364 2022/08/26 16:09:07 - mmengine - INFO - Epoch(train) [126][20/63] lr: 8.1006e-04 eta: 4:34:11 time: 0.5642 data_time: 0.0296 memory: 12277 loss_text: 0.0823 loss_kernel: 0.0440 loss_embedding: 0.0218 loss: 0.1480 2022/08/26 16:09:10 - mmengine - INFO - Epoch(train) [126][25/63] lr: 8.1006e-04 eta: 4:34:11 time: 0.5620 data_time: 0.0238 memory: 12277 loss_text: 0.0864 loss_kernel: 0.0442 loss_embedding: 0.0268 loss: 0.1574 2022/08/26 16:09:13 - mmengine - INFO - Epoch(train) [126][30/63] lr: 8.1006e-04 eta: 4:34:07 time: 0.6129 data_time: 0.0285 memory: 12277 loss_text: 0.0813 loss_kernel: 0.0436 loss_embedding: 0.0268 loss: 0.1517 2022/08/26 16:09:16 - mmengine - INFO - Epoch(train) [126][35/63] lr: 8.1006e-04 eta: 4:34:07 time: 0.6320 data_time: 0.0353 memory: 12277 loss_text: 0.0804 loss_kernel: 0.0446 loss_embedding: 0.0223 loss: 0.1473 2022/08/26 16:09:19 - mmengine - INFO - Epoch(train) [126][40/63] lr: 8.1006e-04 eta: 4:34:03 time: 0.5691 data_time: 0.0333 memory: 12277 loss_text: 0.0909 loss_kernel: 0.0534 loss_embedding: 0.0196 loss: 0.1638 2022/08/26 16:09:21 - mmengine - INFO - Epoch(train) [126][45/63] lr: 8.1006e-04 eta: 4:34:03 time: 0.5504 data_time: 0.0261 memory: 12277 loss_text: 0.0896 loss_kernel: 0.0505 loss_embedding: 0.0178 loss: 0.1579 2022/08/26 16:09:25 - mmengine - INFO - Epoch(train) [126][50/63] lr: 8.1006e-04 eta: 4:34:02 time: 0.6684 data_time: 0.0285 memory: 12277 loss_text: 0.0731 loss_kernel: 0.0401 loss_embedding: 0.0171 loss: 0.1303 2022/08/26 16:09:28 - mmengine - INFO - Epoch(train) [126][55/63] lr: 8.1006e-04 eta: 4:34:02 time: 0.6708 data_time: 0.0338 memory: 12277 loss_text: 0.0754 loss_kernel: 0.0429 loss_embedding: 0.0186 loss: 0.1369 2022/08/26 16:09:31 - mmengine - INFO - Epoch(train) [126][60/63] lr: 8.1006e-04 eta: 4:33:56 time: 0.5436 data_time: 0.0297 memory: 12277 loss_text: 0.0910 loss_kernel: 0.0486 loss_embedding: 0.0225 loss: 0.1620 2022/08/26 16:09:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:09:36 - mmengine - INFO - Epoch(train) [127][5/63] lr: 8.0852e-04 eta: 4:33:56 time: 0.6767 data_time: 0.1667 memory: 12277 loss_text: 0.0909 loss_kernel: 0.0483 loss_embedding: 0.0213 loss: 0.1605 2022/08/26 16:09:39 - mmengine - INFO - Epoch(train) [127][10/63] lr: 8.0852e-04 eta: 4:33:49 time: 0.7157 data_time: 0.1822 memory: 12277 loss_text: 0.0891 loss_kernel: 0.0460 loss_embedding: 0.0212 loss: 0.1563 2022/08/26 16:09:42 - mmengine - INFO - Epoch(train) [127][15/63] lr: 8.0852e-04 eta: 4:33:49 time: 0.5374 data_time: 0.0338 memory: 12277 loss_text: 0.0858 loss_kernel: 0.0465 loss_embedding: 0.0191 loss: 0.1514 2022/08/26 16:09:45 - mmengine - INFO - Epoch(train) [127][20/63] lr: 8.0852e-04 eta: 4:33:43 time: 0.5538 data_time: 0.0215 memory: 12277 loss_text: 0.0842 loss_kernel: 0.0459 loss_embedding: 0.0188 loss: 0.1489 2022/08/26 16:09:47 - mmengine - INFO - Epoch(train) [127][25/63] lr: 8.0852e-04 eta: 4:33:43 time: 0.5473 data_time: 0.0236 memory: 12277 loss_text: 0.0806 loss_kernel: 0.0445 loss_embedding: 0.0199 loss: 0.1450 2022/08/26 16:09:50 - mmengine - INFO - Epoch(train) [127][30/63] lr: 8.0852e-04 eta: 4:33:38 time: 0.5430 data_time: 0.0267 memory: 12277 loss_text: 0.0777 loss_kernel: 0.0437 loss_embedding: 0.0202 loss: 0.1416 2022/08/26 16:09:53 - mmengine - INFO - Epoch(train) [127][35/63] lr: 8.0852e-04 eta: 4:33:38 time: 0.5359 data_time: 0.0272 memory: 12277 loss_text: 0.0817 loss_kernel: 0.0448 loss_embedding: 0.0205 loss: 0.1470 2022/08/26 16:09:55 - mmengine - INFO - Epoch(train) [127][40/63] lr: 8.0852e-04 eta: 4:33:32 time: 0.5407 data_time: 0.0251 memory: 12277 loss_text: 0.0805 loss_kernel: 0.0449 loss_embedding: 0.0217 loss: 0.1472 2022/08/26 16:09:58 - mmengine - INFO - Epoch(train) [127][45/63] lr: 8.0852e-04 eta: 4:33:32 time: 0.5736 data_time: 0.0321 memory: 12277 loss_text: 0.0790 loss_kernel: 0.0420 loss_embedding: 0.0226 loss: 0.1436 2022/08/26 16:10:01 - mmengine - INFO - Epoch(train) [127][50/63] lr: 8.0852e-04 eta: 4:33:27 time: 0.5691 data_time: 0.0342 memory: 12277 loss_text: 0.0857 loss_kernel: 0.0457 loss_embedding: 0.0221 loss: 0.1534 2022/08/26 16:10:04 - mmengine - INFO - Epoch(train) [127][55/63] lr: 8.0852e-04 eta: 4:33:27 time: 0.5634 data_time: 0.0293 memory: 12277 loss_text: 0.0790 loss_kernel: 0.0447 loss_embedding: 0.0215 loss: 0.1452 2022/08/26 16:10:07 - mmengine - INFO - Epoch(train) [127][60/63] lr: 8.0852e-04 eta: 4:33:22 time: 0.5580 data_time: 0.0258 memory: 12277 loss_text: 0.0849 loss_kernel: 0.0452 loss_embedding: 0.0195 loss: 0.1496 2022/08/26 16:10:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:10:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:10:13 - mmengine - INFO - Epoch(train) [128][5/63] lr: 8.0698e-04 eta: 4:33:22 time: 0.7518 data_time: 0.1724 memory: 12277 loss_text: 0.0896 loss_kernel: 0.0483 loss_embedding: 0.0193 loss: 0.1572 2022/08/26 16:10:16 - mmengine - INFO - Epoch(train) [128][10/63] lr: 8.0698e-04 eta: 4:33:18 time: 0.7967 data_time: 0.1931 memory: 12277 loss_text: 0.0862 loss_kernel: 0.0481 loss_embedding: 0.0191 loss: 0.1534 2022/08/26 16:10:19 - mmengine - INFO - Epoch(train) [128][15/63] lr: 8.0698e-04 eta: 4:33:18 time: 0.5562 data_time: 0.0459 memory: 12277 loss_text: 0.0812 loss_kernel: 0.0477 loss_embedding: 0.0197 loss: 0.1486 2022/08/26 16:10:22 - mmengine - INFO - Epoch(train) [128][20/63] lr: 8.0698e-04 eta: 4:33:12 time: 0.5487 data_time: 0.0265 memory: 12277 loss_text: 0.0747 loss_kernel: 0.0444 loss_embedding: 0.0211 loss: 0.1402 2022/08/26 16:10:24 - mmengine - INFO - Epoch(train) [128][25/63] lr: 8.0698e-04 eta: 4:33:12 time: 0.5620 data_time: 0.0240 memory: 12277 loss_text: 0.0844 loss_kernel: 0.0468 loss_embedding: 0.0211 loss: 0.1523 2022/08/26 16:10:27 - mmengine - INFO - Epoch(train) [128][30/63] lr: 8.0698e-04 eta: 4:33:07 time: 0.5754 data_time: 0.0490 memory: 12277 loss_text: 0.0974 loss_kernel: 0.0518 loss_embedding: 0.0208 loss: 0.1700 2022/08/26 16:10:31 - mmengine - INFO - Epoch(train) [128][35/63] lr: 8.0698e-04 eta: 4:33:07 time: 0.6264 data_time: 0.0832 memory: 12277 loss_text: 0.0887 loss_kernel: 0.0458 loss_embedding: 0.0215 loss: 0.1560 2022/08/26 16:10:34 - mmengine - INFO - Epoch(train) [128][40/63] lr: 8.0698e-04 eta: 4:33:05 time: 0.6259 data_time: 0.0578 memory: 12277 loss_text: 0.0857 loss_kernel: 0.0486 loss_embedding: 0.0234 loss: 0.1577 2022/08/26 16:10:36 - mmengine - INFO - Epoch(train) [128][45/63] lr: 8.0698e-04 eta: 4:33:05 time: 0.5861 data_time: 0.0259 memory: 12277 loss_text: 0.0899 loss_kernel: 0.0521 loss_embedding: 0.0239 loss: 0.1659 2022/08/26 16:10:39 - mmengine - INFO - Epoch(train) [128][50/63] lr: 8.0698e-04 eta: 4:33:00 time: 0.5772 data_time: 0.0332 memory: 12277 loss_text: 0.0962 loss_kernel: 0.0467 loss_embedding: 0.0236 loss: 0.1666 2022/08/26 16:10:42 - mmengine - INFO - Epoch(train) [128][55/63] lr: 8.0698e-04 eta: 4:33:00 time: 0.5669 data_time: 0.0353 memory: 12277 loss_text: 0.0928 loss_kernel: 0.0420 loss_embedding: 0.0268 loss: 0.1616 2022/08/26 16:10:45 - mmengine - INFO - Epoch(train) [128][60/63] lr: 8.0698e-04 eta: 4:32:56 time: 0.5964 data_time: 0.0321 memory: 12277 loss_text: 0.0872 loss_kernel: 0.0410 loss_embedding: 0.0245 loss: 0.1527 2022/08/26 16:10:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:10:51 - mmengine - INFO - Epoch(train) [129][5/63] lr: 8.0544e-04 eta: 4:32:56 time: 0.6471 data_time: 0.1433 memory: 12277 loss_text: 0.0895 loss_kernel: 0.0492 loss_embedding: 0.0188 loss: 0.1575 2022/08/26 16:10:53 - mmengine - INFO - Epoch(train) [129][10/63] lr: 8.0544e-04 eta: 4:32:47 time: 0.6670 data_time: 0.1547 memory: 12277 loss_text: 0.0880 loss_kernel: 0.0535 loss_embedding: 0.0188 loss: 0.1602 2022/08/26 16:10:56 - mmengine - INFO - Epoch(train) [129][15/63] lr: 8.0544e-04 eta: 4:32:47 time: 0.5575 data_time: 0.0334 memory: 12277 loss_text: 0.0819 loss_kernel: 0.0460 loss_embedding: 0.0175 loss: 0.1454 2022/08/26 16:10:59 - mmengine - INFO - Epoch(train) [129][20/63] lr: 8.0544e-04 eta: 4:32:42 time: 0.5529 data_time: 0.0235 memory: 12277 loss_text: 0.0835 loss_kernel: 0.0450 loss_embedding: 0.0198 loss: 0.1483 2022/08/26 16:11:02 - mmengine - INFO - Epoch(train) [129][25/63] lr: 8.0544e-04 eta: 4:32:42 time: 0.5414 data_time: 0.0228 memory: 12277 loss_text: 0.0789 loss_kernel: 0.0450 loss_embedding: 0.0211 loss: 0.1451 2022/08/26 16:11:04 - mmengine - INFO - Epoch(train) [129][30/63] lr: 8.0544e-04 eta: 4:32:36 time: 0.5459 data_time: 0.0295 memory: 12277 loss_text: 0.0825 loss_kernel: 0.0420 loss_embedding: 0.0206 loss: 0.1451 2022/08/26 16:11:07 - mmengine - INFO - Epoch(train) [129][35/63] lr: 8.0544e-04 eta: 4:32:36 time: 0.5439 data_time: 0.0310 memory: 12277 loss_text: 0.0825 loss_kernel: 0.0407 loss_embedding: 0.0226 loss: 0.1458 2022/08/26 16:11:10 - mmengine - INFO - Epoch(train) [129][40/63] lr: 8.0544e-04 eta: 4:32:31 time: 0.5671 data_time: 0.0242 memory: 12277 loss_text: 0.0827 loss_kernel: 0.0440 loss_embedding: 0.0234 loss: 0.1502 2022/08/26 16:11:13 - mmengine - INFO - Epoch(train) [129][45/63] lr: 8.0544e-04 eta: 4:32:31 time: 0.5702 data_time: 0.0220 memory: 12277 loss_text: 0.0834 loss_kernel: 0.0481 loss_embedding: 0.0231 loss: 0.1546 2022/08/26 16:11:16 - mmengine - INFO - Epoch(train) [129][50/63] lr: 8.0544e-04 eta: 4:32:26 time: 0.5558 data_time: 0.0282 memory: 12277 loss_text: 0.0875 loss_kernel: 0.0486 loss_embedding: 0.0243 loss: 0.1604 2022/08/26 16:11:18 - mmengine - INFO - Epoch(train) [129][55/63] lr: 8.0544e-04 eta: 4:32:26 time: 0.5556 data_time: 0.0297 memory: 12277 loss_text: 0.0830 loss_kernel: 0.0460 loss_embedding: 0.0227 loss: 0.1517 2022/08/26 16:11:21 - mmengine - INFO - Epoch(train) [129][60/63] lr: 8.0544e-04 eta: 4:32:20 time: 0.5487 data_time: 0.0257 memory: 12277 loss_text: 0.0729 loss_kernel: 0.0422 loss_embedding: 0.0194 loss: 0.1345 2022/08/26 16:11:23 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:11:27 - mmengine - INFO - Epoch(train) [130][5/63] lr: 8.0390e-04 eta: 4:32:20 time: 0.6832 data_time: 0.1718 memory: 12277 loss_text: 0.0672 loss_kernel: 0.0398 loss_embedding: 0.0187 loss: 0.1257 2022/08/26 16:11:29 - mmengine - INFO - Epoch(train) [130][10/63] lr: 8.0390e-04 eta: 4:32:12 time: 0.6787 data_time: 0.1761 memory: 12277 loss_text: 0.0684 loss_kernel: 0.0396 loss_embedding: 0.0200 loss: 0.1281 2022/08/26 16:11:33 - mmengine - INFO - Epoch(train) [130][15/63] lr: 8.0390e-04 eta: 4:32:12 time: 0.6165 data_time: 0.0327 memory: 12277 loss_text: 0.0714 loss_kernel: 0.0404 loss_embedding: 0.0213 loss: 0.1331 2022/08/26 16:11:36 - mmengine - INFO - Epoch(train) [130][20/63] lr: 8.0390e-04 eta: 4:32:09 time: 0.6287 data_time: 0.0287 memory: 12277 loss_text: 0.0797 loss_kernel: 0.0423 loss_embedding: 0.0212 loss: 0.1432 2022/08/26 16:11:39 - mmengine - INFO - Epoch(train) [130][25/63] lr: 8.0390e-04 eta: 4:32:09 time: 0.5629 data_time: 0.0233 memory: 12277 loss_text: 0.0867 loss_kernel: 0.0435 loss_embedding: 0.0206 loss: 0.1508 2022/08/26 16:11:42 - mmengine - INFO - Epoch(train) [130][30/63] lr: 8.0390e-04 eta: 4:32:05 time: 0.5854 data_time: 0.0291 memory: 12277 loss_text: 0.0811 loss_kernel: 0.0411 loss_embedding: 0.0203 loss: 0.1426 2022/08/26 16:11:45 - mmengine - INFO - Epoch(train) [130][35/63] lr: 8.0390e-04 eta: 4:32:05 time: 0.5931 data_time: 0.0335 memory: 12277 loss_text: 0.0747 loss_kernel: 0.0423 loss_embedding: 0.0209 loss: 0.1379 2022/08/26 16:11:48 - mmengine - INFO - Epoch(train) [130][40/63] lr: 8.0390e-04 eta: 4:32:02 time: 0.6121 data_time: 0.0313 memory: 12277 loss_text: 0.0861 loss_kernel: 0.0476 loss_embedding: 0.0230 loss: 0.1567 2022/08/26 16:11:51 - mmengine - INFO - Epoch(train) [130][45/63] lr: 8.0390e-04 eta: 4:32:02 time: 0.6034 data_time: 0.0327 memory: 12277 loss_text: 0.0889 loss_kernel: 0.0486 loss_embedding: 0.0238 loss: 0.1612 2022/08/26 16:11:53 - mmengine - INFO - Epoch(train) [130][50/63] lr: 8.0390e-04 eta: 4:31:57 time: 0.5742 data_time: 0.0334 memory: 12277 loss_text: 0.0787 loss_kernel: 0.0448 loss_embedding: 0.0231 loss: 0.1466 2022/08/26 16:11:56 - mmengine - INFO - Epoch(train) [130][55/63] lr: 8.0390e-04 eta: 4:31:57 time: 0.5887 data_time: 0.0266 memory: 12277 loss_text: 0.0794 loss_kernel: 0.0427 loss_embedding: 0.0213 loss: 0.1434 2022/08/26 16:11:59 - mmengine - INFO - Epoch(train) [130][60/63] lr: 8.0390e-04 eta: 4:31:53 time: 0.5812 data_time: 0.0241 memory: 12277 loss_text: 0.0743 loss_kernel: 0.0413 loss_embedding: 0.0190 loss: 0.1346 2022/08/26 16:12:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:12:05 - mmengine - INFO - Epoch(train) [131][5/63] lr: 8.0236e-04 eta: 4:31:53 time: 0.6576 data_time: 0.1513 memory: 12277 loss_text: 0.0924 loss_kernel: 0.0537 loss_embedding: 0.0204 loss: 0.1665 2022/08/26 16:12:07 - mmengine - INFO - Epoch(train) [131][10/63] lr: 8.0236e-04 eta: 4:31:44 time: 0.6808 data_time: 0.1588 memory: 12277 loss_text: 0.0969 loss_kernel: 0.0476 loss_embedding: 0.0202 loss: 0.1648 2022/08/26 16:12:10 - mmengine - INFO - Epoch(train) [131][15/63] lr: 8.0236e-04 eta: 4:31:44 time: 0.5301 data_time: 0.0277 memory: 12277 loss_text: 0.0804 loss_kernel: 0.0407 loss_embedding: 0.0168 loss: 0.1379 2022/08/26 16:12:14 - mmengine - INFO - Epoch(train) [131][20/63] lr: 8.0236e-04 eta: 4:31:42 time: 0.6287 data_time: 0.0226 memory: 12277 loss_text: 0.0682 loss_kernel: 0.0422 loss_embedding: 0.0176 loss: 0.1280 2022/08/26 16:12:16 - mmengine - INFO - Epoch(train) [131][25/63] lr: 8.0236e-04 eta: 4:31:42 time: 0.6395 data_time: 0.0273 memory: 12277 loss_text: 0.0693 loss_kernel: 0.0426 loss_embedding: 0.0168 loss: 0.1287 2022/08/26 16:12:19 - mmengine - INFO - Epoch(train) [131][30/63] lr: 8.0236e-04 eta: 4:31:36 time: 0.5458 data_time: 0.0284 memory: 12277 loss_text: 0.0640 loss_kernel: 0.0394 loss_embedding: 0.0158 loss: 0.1193 2022/08/26 16:12:22 - mmengine - INFO - Epoch(train) [131][35/63] lr: 8.0236e-04 eta: 4:31:36 time: 0.5431 data_time: 0.0265 memory: 12277 loss_text: 0.0700 loss_kernel: 0.0417 loss_embedding: 0.0190 loss: 0.1308 2022/08/26 16:12:25 - mmengine - INFO - Epoch(train) [131][40/63] lr: 8.0236e-04 eta: 4:31:30 time: 0.5411 data_time: 0.0259 memory: 12277 loss_text: 0.0728 loss_kernel: 0.0435 loss_embedding: 0.0202 loss: 0.1365 2022/08/26 16:12:28 - mmengine - INFO - Epoch(train) [131][45/63] lr: 8.0236e-04 eta: 4:31:30 time: 0.5674 data_time: 0.0404 memory: 12277 loss_text: 0.0812 loss_kernel: 0.0454 loss_embedding: 0.0195 loss: 0.1461 2022/08/26 16:12:30 - mmengine - INFO - Epoch(train) [131][50/63] lr: 8.0236e-04 eta: 4:31:25 time: 0.5545 data_time: 0.0441 memory: 12277 loss_text: 0.0856 loss_kernel: 0.0465 loss_embedding: 0.0229 loss: 0.1550 2022/08/26 16:12:33 - mmengine - INFO - Epoch(train) [131][55/63] lr: 8.0236e-04 eta: 4:31:25 time: 0.5889 data_time: 0.0383 memory: 12277 loss_text: 0.0699 loss_kernel: 0.0402 loss_embedding: 0.0248 loss: 0.1350 2022/08/26 16:12:36 - mmengine - INFO - Epoch(train) [131][60/63] lr: 8.0236e-04 eta: 4:31:21 time: 0.6054 data_time: 0.0350 memory: 12277 loss_text: 0.0724 loss_kernel: 0.0398 loss_embedding: 0.0227 loss: 0.1348 2022/08/26 16:12:38 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:12:41 - mmengine - INFO - Epoch(train) [132][5/63] lr: 8.0082e-04 eta: 4:31:21 time: 0.6191 data_time: 0.1294 memory: 12277 loss_text: 0.0834 loss_kernel: 0.0419 loss_embedding: 0.0208 loss: 0.1460 2022/08/26 16:12:44 - mmengine - INFO - Epoch(train) [132][10/63] lr: 8.0082e-04 eta: 4:31:12 time: 0.6603 data_time: 0.1349 memory: 12277 loss_text: 0.0857 loss_kernel: 0.0453 loss_embedding: 0.0215 loss: 0.1525 2022/08/26 16:12:47 - mmengine - INFO - Epoch(train) [132][15/63] lr: 8.0082e-04 eta: 4:31:12 time: 0.5667 data_time: 0.0284 memory: 12277 loss_text: 0.0883 loss_kernel: 0.0498 loss_embedding: 0.0226 loss: 0.1608 2022/08/26 16:12:50 - mmengine - INFO - Epoch(train) [132][20/63] lr: 8.0082e-04 eta: 4:31:06 time: 0.5447 data_time: 0.0239 memory: 12277 loss_text: 0.0802 loss_kernel: 0.0464 loss_embedding: 0.0205 loss: 0.1472 2022/08/26 16:12:53 - mmengine - INFO - Epoch(train) [132][25/63] lr: 8.0082e-04 eta: 4:31:06 time: 0.5442 data_time: 0.0224 memory: 12277 loss_text: 0.0833 loss_kernel: 0.0423 loss_embedding: 0.0202 loss: 0.1459 2022/08/26 16:12:55 - mmengine - INFO - Epoch(train) [132][30/63] lr: 8.0082e-04 eta: 4:31:01 time: 0.5669 data_time: 0.0320 memory: 12277 loss_text: 0.0777 loss_kernel: 0.0405 loss_embedding: 0.0206 loss: 0.1388 2022/08/26 16:12:58 - mmengine - INFO - Epoch(train) [132][35/63] lr: 8.0082e-04 eta: 4:31:01 time: 0.5905 data_time: 0.0358 memory: 12277 loss_text: 0.0801 loss_kernel: 0.0445 loss_embedding: 0.0208 loss: 0.1453 2022/08/26 16:13:01 - mmengine - INFO - Epoch(train) [132][40/63] lr: 8.0082e-04 eta: 4:30:57 time: 0.5738 data_time: 0.0259 memory: 12277 loss_text: 0.0892 loss_kernel: 0.0479 loss_embedding: 0.0210 loss: 0.1581 2022/08/26 16:13:04 - mmengine - INFO - Epoch(train) [132][45/63] lr: 8.0082e-04 eta: 4:30:57 time: 0.5420 data_time: 0.0221 memory: 12277 loss_text: 0.0827 loss_kernel: 0.0463 loss_embedding: 0.0201 loss: 0.1490 2022/08/26 16:13:06 - mmengine - INFO - Epoch(train) [132][50/63] lr: 8.0082e-04 eta: 4:30:50 time: 0.5319 data_time: 0.0264 memory: 12277 loss_text: 0.0725 loss_kernel: 0.0429 loss_embedding: 0.0172 loss: 0.1325 2022/08/26 16:13:09 - mmengine - INFO - Epoch(train) [132][55/63] lr: 8.0082e-04 eta: 4:30:50 time: 0.5344 data_time: 0.0277 memory: 12277 loss_text: 0.0730 loss_kernel: 0.0455 loss_embedding: 0.0207 loss: 0.1392 2022/08/26 16:13:12 - mmengine - INFO - Epoch(train) [132][60/63] lr: 8.0082e-04 eta: 4:30:45 time: 0.5572 data_time: 0.0227 memory: 12277 loss_text: 0.0821 loss_kernel: 0.0483 loss_embedding: 0.0229 loss: 0.1533 2022/08/26 16:13:14 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:13:18 - mmengine - INFO - Epoch(train) [133][5/63] lr: 7.9928e-04 eta: 4:30:45 time: 0.7052 data_time: 0.1861 memory: 12277 loss_text: 0.0750 loss_kernel: 0.0429 loss_embedding: 0.0191 loss: 0.1369 2022/08/26 16:13:21 - mmengine - INFO - Epoch(train) [133][10/63] lr: 7.9928e-04 eta: 4:30:38 time: 0.7329 data_time: 0.1977 memory: 12277 loss_text: 0.0693 loss_kernel: 0.0393 loss_embedding: 0.0184 loss: 0.1270 2022/08/26 16:13:23 - mmengine - INFO - Epoch(train) [133][15/63] lr: 7.9928e-04 eta: 4:30:38 time: 0.5442 data_time: 0.0337 memory: 12277 loss_text: 0.0755 loss_kernel: 0.0410 loss_embedding: 0.0186 loss: 0.1352 2022/08/26 16:13:26 - mmengine - INFO - Epoch(train) [133][20/63] lr: 7.9928e-04 eta: 4:30:33 time: 0.5379 data_time: 0.0213 memory: 12277 loss_text: 0.0732 loss_kernel: 0.0419 loss_embedding: 0.0211 loss: 0.1362 2022/08/26 16:13:29 - mmengine - INFO - Epoch(train) [133][25/63] lr: 7.9928e-04 eta: 4:30:33 time: 0.5596 data_time: 0.0250 memory: 12277 loss_text: 0.0677 loss_kernel: 0.0434 loss_embedding: 0.0202 loss: 0.1313 2022/08/26 16:13:32 - mmengine - INFO - Epoch(train) [133][30/63] lr: 7.9928e-04 eta: 4:30:27 time: 0.5566 data_time: 0.0343 memory: 12277 loss_text: 0.0783 loss_kernel: 0.0476 loss_embedding: 0.0179 loss: 0.1438 2022/08/26 16:13:35 - mmengine - INFO - Epoch(train) [133][35/63] lr: 7.9928e-04 eta: 4:30:27 time: 0.5537 data_time: 0.0337 memory: 12277 loss_text: 0.0806 loss_kernel: 0.0456 loss_embedding: 0.0178 loss: 0.1441 2022/08/26 16:13:37 - mmengine - INFO - Epoch(train) [133][40/63] lr: 7.9928e-04 eta: 4:30:21 time: 0.5416 data_time: 0.0268 memory: 12277 loss_text: 0.0808 loss_kernel: 0.0463 loss_embedding: 0.0187 loss: 0.1458 2022/08/26 16:13:40 - mmengine - INFO - Epoch(train) [133][45/63] lr: 7.9928e-04 eta: 4:30:21 time: 0.5321 data_time: 0.0247 memory: 12277 loss_text: 0.0878 loss_kernel: 0.0490 loss_embedding: 0.0201 loss: 0.1569 2022/08/26 16:13:43 - mmengine - INFO - Epoch(train) [133][50/63] lr: 7.9928e-04 eta: 4:30:15 time: 0.5313 data_time: 0.0256 memory: 12277 loss_text: 0.0818 loss_kernel: 0.0446 loss_embedding: 0.0196 loss: 0.1460 2022/08/26 16:13:45 - mmengine - INFO - Epoch(train) [133][55/63] lr: 7.9928e-04 eta: 4:30:15 time: 0.5431 data_time: 0.0316 memory: 12277 loss_text: 0.0750 loss_kernel: 0.0412 loss_embedding: 0.0181 loss: 0.1342 2022/08/26 16:13:48 - mmengine - INFO - Epoch(train) [133][60/63] lr: 7.9928e-04 eta: 4:30:09 time: 0.5307 data_time: 0.0264 memory: 12277 loss_text: 0.0697 loss_kernel: 0.0393 loss_embedding: 0.0173 loss: 0.1263 2022/08/26 16:13:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:13:54 - mmengine - INFO - Epoch(train) [134][5/63] lr: 7.9774e-04 eta: 4:30:09 time: 0.7000 data_time: 0.2048 memory: 12277 loss_text: 0.0774 loss_kernel: 0.0397 loss_embedding: 0.0175 loss: 0.1346 2022/08/26 16:13:57 - mmengine - INFO - Epoch(train) [134][10/63] lr: 7.9774e-04 eta: 4:30:02 time: 0.7275 data_time: 0.2111 memory: 12277 loss_text: 0.0843 loss_kernel: 0.0420 loss_embedding: 0.0185 loss: 0.1448 2022/08/26 16:13:59 - mmengine - INFO - Epoch(train) [134][15/63] lr: 7.9774e-04 eta: 4:30:02 time: 0.5309 data_time: 0.0268 memory: 12277 loss_text: 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4:29:47 time: 0.5823 data_time: 0.0254 memory: 12277 loss_text: 0.0679 loss_kernel: 0.0411 loss_embedding: 0.0185 loss: 0.1275 2022/08/26 16:14:16 - mmengine - INFO - Epoch(train) [134][45/63] lr: 7.9774e-04 eta: 4:29:47 time: 0.5854 data_time: 0.0248 memory: 12277 loss_text: 0.0699 loss_kernel: 0.0413 loss_embedding: 0.0193 loss: 0.1304 2022/08/26 16:14:19 - mmengine - INFO - Epoch(train) [134][50/63] lr: 7.9774e-04 eta: 4:29:43 time: 0.5885 data_time: 0.0291 memory: 12277 loss_text: 0.0726 loss_kernel: 0.0411 loss_embedding: 0.0189 loss: 0.1326 2022/08/26 16:14:22 - mmengine - INFO - Epoch(train) [134][55/63] lr: 7.9774e-04 eta: 4:29:43 time: 0.5780 data_time: 0.0298 memory: 12277 loss_text: 0.0713 loss_kernel: 0.0419 loss_embedding: 0.0175 loss: 0.1307 2022/08/26 16:14:27 - mmengine - INFO - Epoch(train) [134][60/63] lr: 7.9774e-04 eta: 4:29:45 time: 0.7618 data_time: 0.0919 memory: 12277 loss_text: 0.0726 loss_kernel: 0.0448 loss_embedding: 0.0198 loss: 0.1372 2022/08/26 16:14:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:14:33 - mmengine - INFO - Epoch(train) [135][5/63] lr: 7.9620e-04 eta: 4:29:45 time: 0.9103 data_time: 0.2359 memory: 12277 loss_text: 0.0723 loss_kernel: 0.0433 loss_embedding: 0.0207 loss: 0.1364 2022/08/26 16:14:36 - mmengine - INFO - Epoch(train) [135][10/63] lr: 7.9620e-04 eta: 4:29:37 time: 0.7139 data_time: 0.1673 memory: 12277 loss_text: 0.0802 loss_kernel: 0.0450 loss_embedding: 0.0173 loss: 0.1425 2022/08/26 16:14:38 - mmengine - INFO - Epoch(train) [135][15/63] lr: 7.9620e-04 eta: 4:29:37 time: 0.5417 data_time: 0.0252 memory: 12277 loss_text: 0.0885 loss_kernel: 0.0482 loss_embedding: 0.0165 loss: 0.1532 2022/08/26 16:14:41 - mmengine - INFO - Epoch(train) [135][20/63] lr: 7.9620e-04 eta: 4:29:32 time: 0.5379 data_time: 0.0280 memory: 12277 loss_text: 0.0897 loss_kernel: 0.0490 loss_embedding: 0.0190 loss: 0.1577 2022/08/26 16:14:45 - mmengine - INFO - Epoch(train) [135][25/63] lr: 7.9620e-04 eta: 4:29:32 time: 0.6543 data_time: 0.0295 memory: 12277 loss_text: 0.0820 loss_kernel: 0.0466 loss_embedding: 0.0205 loss: 0.1491 2022/08/26 16:14:48 - mmengine - INFO - Epoch(train) [135][30/63] lr: 7.9620e-04 eta: 4:29:30 time: 0.6645 data_time: 0.0257 memory: 12277 loss_text: 0.0739 loss_kernel: 0.0418 loss_embedding: 0.0191 loss: 0.1348 2022/08/26 16:14:50 - mmengine - INFO - Epoch(train) [135][35/63] lr: 7.9620e-04 eta: 4:29:30 time: 0.5579 data_time: 0.0243 memory: 12277 loss_text: 0.0775 loss_kernel: 0.0422 loss_embedding: 0.0201 loss: 0.1398 2022/08/26 16:14:53 - mmengine - INFO - Epoch(train) [135][40/63] lr: 7.9620e-04 eta: 4:29:24 time: 0.5462 data_time: 0.0283 memory: 12277 loss_text: 0.0734 loss_kernel: 0.0413 loss_embedding: 0.0228 loss: 0.1376 2022/08/26 16:14:56 - mmengine - INFO - Epoch(train) [135][45/63] lr: 7.9620e-04 eta: 4:29:24 time: 0.5470 data_time: 0.0277 memory: 12277 loss_text: 0.0720 loss_kernel: 0.0399 loss_embedding: 0.0210 loss: 0.1329 2022/08/26 16:14:59 - mmengine - INFO - Epoch(train) [135][50/63] lr: 7.9620e-04 eta: 4:29:18 time: 0.5438 data_time: 0.0223 memory: 12277 loss_text: 0.0786 loss_kernel: 0.0441 loss_embedding: 0.0198 loss: 0.1424 2022/08/26 16:15:01 - mmengine - INFO - Epoch(train) [135][55/63] lr: 7.9620e-04 eta: 4:29:18 time: 0.5413 data_time: 0.0226 memory: 12277 loss_text: 0.0727 loss_kernel: 0.0434 loss_embedding: 0.0180 loss: 0.1341 2022/08/26 16:15:04 - mmengine - INFO - Epoch(train) [135][60/63] lr: 7.9620e-04 eta: 4:29:13 time: 0.5656 data_time: 0.0317 memory: 12277 loss_text: 0.0742 loss_kernel: 0.0423 loss_embedding: 0.0150 loss: 0.1315 2022/08/26 16:15:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:15:10 - mmengine - INFO - Epoch(train) [136][5/63] lr: 7.9466e-04 eta: 4:29:13 time: 0.6927 data_time: 0.1839 memory: 12277 loss_text: 0.0824 loss_kernel: 0.0415 loss_embedding: 0.0212 loss: 0.1451 2022/08/26 16:15:13 - mmengine - INFO - Epoch(train) [136][10/63] lr: 7.9466e-04 eta: 4:29:07 time: 0.7420 data_time: 0.1875 memory: 12277 loss_text: 0.0794 loss_kernel: 0.0397 loss_embedding: 0.0177 loss: 0.1368 2022/08/26 16:15:16 - mmengine - INFO - Epoch(train) [136][15/63] lr: 7.9466e-04 eta: 4:29:07 time: 0.5983 data_time: 0.0415 memory: 12277 loss_text: 0.0704 loss_kernel: 0.0387 loss_embedding: 0.0156 loss: 0.1247 2022/08/26 16:15:19 - mmengine - INFO - Epoch(train) [136][20/63] lr: 7.9466e-04 eta: 4:29:03 time: 0.5908 data_time: 0.0375 memory: 12277 loss_text: 0.0658 loss_kernel: 0.0368 loss_embedding: 0.0163 loss: 0.1189 2022/08/26 16:15:22 - mmengine - INFO - Epoch(train) [136][25/63] lr: 7.9466e-04 eta: 4:29:03 time: 0.5759 data_time: 0.0236 memory: 12277 loss_text: 0.0750 loss_kernel: 0.0415 loss_embedding: 0.0171 loss: 0.1336 2022/08/26 16:15:28 - mmengine - INFO - Epoch(train) [136][30/63] lr: 7.9466e-04 eta: 4:29:08 time: 0.8622 data_time: 0.0313 memory: 12277 loss_text: 0.0795 loss_kernel: 0.0429 loss_embedding: 0.0191 loss: 0.1415 2022/08/26 16:15:31 - mmengine - INFO - Epoch(train) [136][35/63] lr: 7.9466e-04 eta: 4:29:08 time: 0.8567 data_time: 0.0372 memory: 12277 loss_text: 0.0728 loss_kernel: 0.0416 loss_embedding: 0.0192 loss: 0.1336 2022/08/26 16:15:33 - mmengine - INFO - Epoch(train) [136][40/63] lr: 7.9466e-04 eta: 4:29:03 time: 0.5563 data_time: 0.0315 memory: 12277 loss_text: 0.0701 loss_kernel: 0.0420 loss_embedding: 0.0184 loss: 0.1305 2022/08/26 16:15:36 - mmengine - INFO - Epoch(train) [136][45/63] lr: 7.9466e-04 eta: 4:29:03 time: 0.5418 data_time: 0.0287 memory: 12277 loss_text: 0.0645 loss_kernel: 0.0393 loss_embedding: 0.0169 loss: 0.1207 2022/08/26 16:15:39 - mmengine - INFO - Epoch(train) [136][50/63] lr: 7.9466e-04 eta: 4:28:57 time: 0.5504 data_time: 0.0266 memory: 12277 loss_text: 0.0686 loss_kernel: 0.0393 loss_embedding: 0.0176 loss: 0.1256 2022/08/26 16:15:42 - mmengine - INFO - Epoch(train) [136][55/63] lr: 7.9466e-04 eta: 4:28:57 time: 0.5671 data_time: 0.0301 memory: 12277 loss_text: 0.0792 loss_kernel: 0.0427 loss_embedding: 0.0193 loss: 0.1412 2022/08/26 16:15:45 - mmengine - INFO - Epoch(train) [136][60/63] lr: 7.9466e-04 eta: 4:28:55 time: 0.6545 data_time: 0.0440 memory: 12277 loss_text: 0.0760 loss_kernel: 0.0425 loss_embedding: 0.0177 loss: 0.1362 2022/08/26 16:15:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:15:50 - mmengine - INFO - Epoch(train) [137][5/63] lr: 7.9312e-04 eta: 4:28:55 time: 0.6374 data_time: 0.1401 memory: 12277 loss_text: 0.0752 loss_kernel: 0.0427 loss_embedding: 0.0200 loss: 0.1379 2022/08/26 16:15:53 - mmengine - INFO - Epoch(train) [137][10/63] lr: 7.9312e-04 eta: 4:28:46 time: 0.6625 data_time: 0.1513 memory: 12277 loss_text: 0.0750 loss_kernel: 0.0404 loss_embedding: 0.0200 loss: 0.1354 2022/08/26 16:15:56 - mmengine - INFO - Epoch(train) [137][15/63] lr: 7.9312e-04 eta: 4:28:46 time: 0.5395 data_time: 0.0334 memory: 12277 loss_text: 0.0858 loss_kernel: 0.0424 loss_embedding: 0.0180 loss: 0.1462 2022/08/26 16:15:59 - mmengine - INFO - Epoch(train) [137][20/63] lr: 7.9312e-04 eta: 4:28:40 time: 0.5366 data_time: 0.0242 memory: 12277 loss_text: 0.0884 loss_kernel: 0.0456 loss_embedding: 0.0161 loss: 0.1500 2022/08/26 16:16:01 - mmengine - INFO - Epoch(train) [137][25/63] lr: 7.9312e-04 eta: 4:28:40 time: 0.5630 data_time: 0.0310 memory: 12277 loss_text: 0.0772 loss_kernel: 0.0431 loss_embedding: 0.0155 loss: 0.1359 2022/08/26 16:16:05 - mmengine - INFO - Epoch(train) [137][30/63] lr: 7.9312e-04 eta: 4:28:38 time: 0.6554 data_time: 0.0414 memory: 12277 loss_text: 0.0720 loss_kernel: 0.0415 loss_embedding: 0.0170 loss: 0.1304 2022/08/26 16:16:08 - mmengine - INFO - Epoch(train) [137][35/63] lr: 7.9312e-04 eta: 4:28:38 time: 0.6513 data_time: 0.0395 memory: 12277 loss_text: 0.0793 loss_kernel: 0.0477 loss_embedding: 0.0183 loss: 0.1453 2022/08/26 16:16:11 - mmengine - INFO - Epoch(train) [137][40/63] lr: 7.9312e-04 eta: 4:28:32 time: 0.5399 data_time: 0.0305 memory: 12277 loss_text: 0.0770 loss_kernel: 0.0458 loss_embedding: 0.0179 loss: 0.1408 2022/08/26 16:16:13 - mmengine - INFO - Epoch(train) [137][45/63] lr: 7.9312e-04 eta: 4:28:32 time: 0.5286 data_time: 0.0242 memory: 12277 loss_text: 0.0829 loss_kernel: 0.0497 loss_embedding: 0.0178 loss: 0.1504 2022/08/26 16:16:16 - mmengine - INFO - Epoch(train) [137][50/63] lr: 7.9312e-04 eta: 4:28:27 time: 0.5552 data_time: 0.0278 memory: 12277 loss_text: 0.0852 loss_kernel: 0.0498 loss_embedding: 0.0177 loss: 0.1527 2022/08/26 16:16:19 - mmengine - INFO - Epoch(train) [137][55/63] lr: 7.9312e-04 eta: 4:28:27 time: 0.5649 data_time: 0.0281 memory: 12277 loss_text: 0.0741 loss_kernel: 0.0402 loss_embedding: 0.0177 loss: 0.1320 2022/08/26 16:16:22 - mmengine - INFO - Epoch(train) [137][60/63] lr: 7.9312e-04 eta: 4:28:21 time: 0.5495 data_time: 0.0219 memory: 12277 loss_text: 0.0757 loss_kernel: 0.0423 loss_embedding: 0.0190 loss: 0.1370 2022/08/26 16:16:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:16:29 - mmengine - INFO - Epoch(train) [138][5/63] lr: 7.9158e-04 eta: 4:28:21 time: 0.8727 data_time: 0.2333 memory: 12277 loss_text: 0.0634 loss_kernel: 0.0423 loss_embedding: 0.0183 loss: 0.1241 2022/08/26 16:16:32 - mmengine - INFO - Epoch(train) [138][10/63] lr: 7.9158e-04 eta: 4:28:15 time: 0.7513 data_time: 0.2250 memory: 12277 loss_text: 0.0601 loss_kernel: 0.0392 loss_embedding: 0.0178 loss: 0.1171 2022/08/26 16:16:35 - mmengine - INFO - Epoch(train) [138][15/63] lr: 7.9158e-04 eta: 4:28:15 time: 0.5621 data_time: 0.0305 memory: 12277 loss_text: 0.0699 loss_kernel: 0.0422 loss_embedding: 0.0168 loss: 0.1289 2022/08/26 16:16:38 - mmengine - INFO - Epoch(train) [138][20/63] lr: 7.9158e-04 eta: 4:28:10 time: 0.5739 data_time: 0.0269 memory: 12277 loss_text: 0.0789 loss_kernel: 0.0485 loss_embedding: 0.0178 loss: 0.1453 2022/08/26 16:16:41 - mmengine - INFO - Epoch(train) [138][25/63] lr: 7.9158e-04 eta: 4:28:10 time: 0.5751 data_time: 0.0279 memory: 12277 loss_text: 0.0822 loss_kernel: 0.0491 loss_embedding: 0.0194 loss: 0.1507 2022/08/26 16:16:44 - mmengine - INFO - Epoch(train) [138][30/63] lr: 7.9158e-04 eta: 4:28:07 time: 0.6245 data_time: 0.0310 memory: 12277 loss_text: 0.0743 loss_kernel: 0.0440 loss_embedding: 0.0188 loss: 0.1372 2022/08/26 16:16:47 - mmengine - INFO - Epoch(train) [138][35/63] lr: 7.9158e-04 eta: 4:28:07 time: 0.6393 data_time: 0.0300 memory: 12277 loss_text: 0.0654 loss_kernel: 0.0404 loss_embedding: 0.0159 loss: 0.1217 2022/08/26 16:16:50 - mmengine - INFO - Epoch(train) [138][40/63] lr: 7.9158e-04 eta: 4:28:03 time: 0.5797 data_time: 0.0248 memory: 12277 loss_text: 0.0701 loss_kernel: 0.0412 loss_embedding: 0.0145 loss: 0.1258 2022/08/26 16:16:53 - mmengine - INFO - Epoch(train) [138][45/63] lr: 7.9158e-04 eta: 4:28:03 time: 0.5578 data_time: 0.0244 memory: 12277 loss_text: 0.0739 loss_kernel: 0.0423 loss_embedding: 0.0170 loss: 0.1332 2022/08/26 16:16:56 - mmengine - INFO - Epoch(train) [138][50/63] lr: 7.9158e-04 eta: 4:27:58 time: 0.5796 data_time: 0.0287 memory: 12277 loss_text: 0.0746 loss_kernel: 0.0401 loss_embedding: 0.0174 loss: 0.1322 2022/08/26 16:16:58 - mmengine - INFO - Epoch(train) [138][55/63] lr: 7.9158e-04 eta: 4:27:58 time: 0.5682 data_time: 0.0299 memory: 12277 loss_text: 0.0813 loss_kernel: 0.0424 loss_embedding: 0.0177 loss: 0.1414 2022/08/26 16:17:01 - mmengine - INFO - Epoch(train) [138][60/63] lr: 7.9158e-04 eta: 4:27:52 time: 0.5342 data_time: 0.0247 memory: 12277 loss_text: 0.0797 loss_kernel: 0.0439 loss_embedding: 0.0188 loss: 0.1424 2022/08/26 16:17:02 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:17:07 - mmengine - INFO - Epoch(train) [139][5/63] lr: 7.9004e-04 eta: 4:27:52 time: 0.6953 data_time: 0.1993 memory: 12277 loss_text: 0.0775 loss_kernel: 0.0416 loss_embedding: 0.0141 loss: 0.1331 2022/08/26 16:17:10 - mmengine - INFO - Epoch(train) [139][10/63] lr: 7.9004e-04 eta: 4:27:45 time: 0.7382 data_time: 0.2037 memory: 12277 loss_text: 0.0922 loss_kernel: 0.0450 loss_embedding: 0.0158 loss: 0.1531 2022/08/26 16:17:13 - mmengine - INFO - Epoch(train) [139][15/63] lr: 7.9004e-04 eta: 4:27:45 time: 0.5676 data_time: 0.0278 memory: 12277 loss_text: 0.0862 loss_kernel: 0.0424 loss_embedding: 0.0198 loss: 0.1484 2022/08/26 16:17:15 - mmengine - INFO - Epoch(train) [139][20/63] lr: 7.9004e-04 eta: 4:27:40 time: 0.5609 data_time: 0.0272 memory: 12277 loss_text: 0.0743 loss_kernel: 0.0414 loss_embedding: 0.0197 loss: 0.1355 2022/08/26 16:17:18 - mmengine - INFO - Epoch(train) [139][25/63] lr: 7.9004e-04 eta: 4:27:40 time: 0.5584 data_time: 0.0342 memory: 12277 loss_text: 0.0802 loss_kernel: 0.0462 loss_embedding: 0.0206 loss: 0.1471 2022/08/26 16:17:21 - mmengine - INFO - Epoch(train) [139][30/63] lr: 7.9004e-04 eta: 4:27:35 time: 0.5514 data_time: 0.0365 memory: 12277 loss_text: 0.0821 loss_kernel: 0.0462 loss_embedding: 0.0192 loss: 0.1475 2022/08/26 16:17:24 - mmengine - INFO - Epoch(train) [139][35/63] lr: 7.9004e-04 eta: 4:27:35 time: 0.5433 data_time: 0.0263 memory: 12277 loss_text: 0.0781 loss_kernel: 0.0441 loss_embedding: 0.0167 loss: 0.1390 2022/08/26 16:17:26 - mmengine - INFO - Epoch(train) [139][40/63] lr: 7.9004e-04 eta: 4:27:29 time: 0.5429 data_time: 0.0225 memory: 12277 loss_text: 0.0768 loss_kernel: 0.0425 loss_embedding: 0.0167 loss: 0.1360 2022/08/26 16:17:29 - mmengine - INFO - Epoch(train) [139][45/63] lr: 7.9004e-04 eta: 4:27:29 time: 0.5374 data_time: 0.0236 memory: 12277 loss_text: 0.0690 loss_kernel: 0.0401 loss_embedding: 0.0149 loss: 0.1239 2022/08/26 16:17:32 - mmengine - INFO - Epoch(train) [139][50/63] lr: 7.9004e-04 eta: 4:27:23 time: 0.5396 data_time: 0.0276 memory: 12277 loss_text: 0.0630 loss_kernel: 0.0382 loss_embedding: 0.0167 loss: 0.1179 2022/08/26 16:17:35 - mmengine - INFO - Epoch(train) [139][55/63] lr: 7.9004e-04 eta: 4:27:23 time: 0.6038 data_time: 0.0535 memory: 12277 loss_text: 0.0605 loss_kernel: 0.0379 loss_embedding: 0.0173 loss: 0.1156 2022/08/26 16:17:38 - mmengine - INFO - Epoch(train) [139][60/63] lr: 7.9004e-04 eta: 4:27:19 time: 0.6039 data_time: 0.0470 memory: 12277 loss_text: 0.0773 loss_kernel: 0.0451 loss_embedding: 0.0162 loss: 0.1386 2022/08/26 16:17:39 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:17:43 - mmengine - INFO - Epoch(train) [140][5/63] lr: 7.8849e-04 eta: 4:27:19 time: 0.6488 data_time: 0.1623 memory: 12277 loss_text: 0.0733 loss_kernel: 0.0432 loss_embedding: 0.0188 loss: 0.1353 2022/08/26 16:17:46 - mmengine - INFO - Epoch(train) [140][10/63] lr: 7.8849e-04 eta: 4:27:11 time: 0.6887 data_time: 0.1760 memory: 12277 loss_text: 0.0724 loss_kernel: 0.0404 loss_embedding: 0.0184 loss: 0.1311 2022/08/26 16:17:49 - mmengine - INFO - Epoch(train) [140][15/63] lr: 7.8849e-04 eta: 4:27:11 time: 0.5561 data_time: 0.0359 memory: 12277 loss_text: 0.0792 loss_kernel: 0.0432 loss_embedding: 0.0162 loss: 0.1385 2022/08/26 16:17:51 - mmengine - INFO - Epoch(train) [140][20/63] lr: 7.8849e-04 eta: 4:27:05 time: 0.5419 data_time: 0.0224 memory: 12277 loss_text: 0.0769 loss_kernel: 0.0440 loss_embedding: 0.0186 loss: 0.1394 2022/08/26 16:17:55 - mmengine - INFO - Epoch(train) [140][25/63] lr: 7.8849e-04 eta: 4:27:05 time: 0.6542 data_time: 0.1022 memory: 12277 loss_text: 0.0752 loss_kernel: 0.0416 loss_embedding: 0.0222 loss: 0.1390 2022/08/26 16:17:58 - mmengine - INFO - Epoch(train) [140][30/63] lr: 7.8849e-04 eta: 4:27:03 time: 0.6714 data_time: 0.1086 memory: 12277 loss_text: 0.0836 loss_kernel: 0.0450 loss_embedding: 0.0199 loss: 0.1485 2022/08/26 16:18:01 - mmengine - INFO - Epoch(train) [140][35/63] lr: 7.8849e-04 eta: 4:27:03 time: 0.5882 data_time: 0.0299 memory: 12277 loss_text: 0.0862 loss_kernel: 0.0470 loss_embedding: 0.0185 loss: 0.1517 2022/08/26 16:18:04 - mmengine - INFO - Epoch(train) [140][40/63] lr: 7.8849e-04 eta: 4:26:59 time: 0.5914 data_time: 0.0287 memory: 12277 loss_text: 0.0725 loss_kernel: 0.0429 loss_embedding: 0.0181 loss: 0.1335 2022/08/26 16:18:07 - mmengine - INFO - Epoch(train) [140][45/63] lr: 7.8849e-04 eta: 4:26:59 time: 0.5659 data_time: 0.0280 memory: 12277 loss_text: 0.0625 loss_kernel: 0.0391 loss_embedding: 0.0155 loss: 0.1171 2022/08/26 16:18:10 - mmengine - INFO - Epoch(train) [140][50/63] lr: 7.8849e-04 eta: 4:26:55 time: 0.5896 data_time: 0.0298 memory: 12277 loss_text: 0.0698 loss_kernel: 0.0416 loss_embedding: 0.0153 loss: 0.1267 2022/08/26 16:18:13 - mmengine - INFO - Epoch(train) [140][55/63] lr: 7.8849e-04 eta: 4:26:55 time: 0.5885 data_time: 0.0317 memory: 12277 loss_text: 0.0824 loss_kernel: 0.0461 loss_embedding: 0.0153 loss: 0.1439 2022/08/26 16:18:15 - mmengine - INFO - Epoch(train) [140][60/63] lr: 7.8849e-04 eta: 4:26:50 time: 0.5570 data_time: 0.0279 memory: 12277 loss_text: 0.0955 loss_kernel: 0.0547 loss_embedding: 0.0158 loss: 0.1660 2022/08/26 16:18:17 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:18:17 - mmengine - INFO - Saving checkpoint at 140 epochs 2022/08/26 16:18:20 - mmengine - INFO - Epoch(val) [140][5/500] eta: 4:26:50 time: 0.0333 data_time: 0.0063 memory: 12277 2022/08/26 16:18:20 - mmengine - INFO - Epoch(val) [140][10/500] eta: 0:00:17 time: 0.0363 data_time: 0.0056 memory: 497 2022/08/26 16:18:20 - mmengine - INFO - Epoch(val) [140][15/500] eta: 0:00:17 time: 0.0270 data_time: 0.0016 memory: 539 2022/08/26 16:18:20 - mmengine - INFO - Epoch(val) [140][20/500] eta: 0:00:12 time: 0.0252 data_time: 0.0019 memory: 497 2022/08/26 16:18:20 - mmengine - INFO - Epoch(val) [140][25/500] eta: 0:00:12 time: 0.0228 data_time: 0.0018 memory: 505 2022/08/26 16:18:21 - mmengine - INFO - Epoch(val) [140][30/500] eta: 0:00:10 time: 0.0220 data_time: 0.0018 memory: 516 2022/08/26 16:18:21 - mmengine - INFO - Epoch(val) [140][35/500] eta: 0:00:10 time: 0.0231 data_time: 0.0019 memory: 497 2022/08/26 16:18:21 - mmengine - INFO - Epoch(val) [140][40/500] eta: 0:00:11 time: 0.0244 data_time: 0.0020 memory: 497 2022/08/26 16:18:21 - mmengine - INFO - Epoch(val) [140][45/500] eta: 0:00:11 time: 0.0232 data_time: 0.0021 memory: 480 2022/08/26 16:18:21 - mmengine - INFO - Epoch(val) [140][50/500] eta: 0:00:11 time: 0.0246 data_time: 0.0023 memory: 539 2022/08/26 16:18:21 - mmengine - INFO - Epoch(val) [140][55/500] eta: 0:00:11 time: 0.0288 data_time: 0.0027 memory: 561 2022/08/26 16:18:21 - mmengine - INFO - Epoch(val) [140][60/500] eta: 0:00:14 time: 0.0328 data_time: 0.0025 memory: 497 2022/08/26 16:18:21 - mmengine - INFO - Epoch(val) [140][65/500] eta: 0:00:14 time: 0.0301 data_time: 0.0024 memory: 597 2022/08/26 16:18:22 - mmengine - INFO - Epoch(val) [140][70/500] eta: 0:00:09 time: 0.0221 data_time: 0.0025 memory: 497 2022/08/26 16:18:22 - mmengine - INFO - Epoch(val) [140][75/500] eta: 0:00:09 time: 0.0231 data_time: 0.0022 memory: 556 2022/08/26 16:18:22 - mmengine - INFO - Epoch(val) [140][80/500] eta: 0:00:09 time: 0.0233 data_time: 0.0020 memory: 497 2022/08/26 16:18:22 - mmengine - INFO - Epoch(val) [140][85/500] eta: 0:00:09 time: 0.0234 data_time: 0.0018 memory: 564 2022/08/26 16:18:22 - mmengine - INFO - Epoch(val) [140][90/500] eta: 0:00:09 time: 0.0238 data_time: 0.0020 memory: 522 2022/08/26 16:18:22 - mmengine - INFO - Epoch(val) [140][95/500] eta: 0:00:09 time: 0.0246 data_time: 0.0021 memory: 756 2022/08/26 16:18:22 - mmengine - INFO - Epoch(val) [140][100/500] eta: 0:00:10 time: 0.0256 data_time: 0.0021 memory: 572 2022/08/26 16:18:22 - mmengine - INFO - Epoch(val) [140][105/500] eta: 0:00:10 time: 0.0269 data_time: 0.0024 memory: 539 2022/08/26 16:18:23 - mmengine - INFO - Epoch(val) [140][110/500] eta: 0:00:09 time: 0.0254 data_time: 0.0024 memory: 497 2022/08/26 16:18:23 - mmengine - INFO - Epoch(val) [140][115/500] eta: 0:00:09 time: 0.0211 data_time: 0.0021 memory: 497 2022/08/26 16:18:23 - mmengine - INFO - Epoch(val) [140][120/500] eta: 0:00:10 time: 0.0270 data_time: 0.0020 memory: 530 2022/08/26 16:18:23 - mmengine - INFO - Epoch(val) [140][125/500] eta: 0:00:10 time: 0.0322 data_time: 0.0030 memory: 497 2022/08/26 16:18:23 - mmengine - INFO - Epoch(val) [140][130/500] eta: 0:00:11 time: 0.0312 data_time: 0.0032 memory: 539 2022/08/26 16:18:23 - mmengine - INFO - Epoch(val) [140][135/500] eta: 0:00:11 time: 0.0273 data_time: 0.0022 memory: 497 2022/08/26 16:18:23 - mmengine - INFO - Epoch(val) [140][140/500] eta: 0:00:08 time: 0.0235 data_time: 0.0019 memory: 480 2022/08/26 16:18:23 - mmengine - INFO - Epoch(val) [140][145/500] eta: 0:00:08 time: 0.0223 data_time: 0.0019 memory: 751 2022/08/26 16:18:24 - mmengine - INFO - Epoch(val) [140][150/500] eta: 0:00:07 time: 0.0206 data_time: 0.0020 memory: 464 2022/08/26 16:18:24 - mmengine - INFO - Epoch(val) [140][155/500] eta: 0:00:07 time: 0.0223 data_time: 0.0021 memory: 516 2022/08/26 16:18:24 - mmengine - INFO - Epoch(val) [140][160/500] eta: 0:00:07 time: 0.0235 data_time: 0.0021 memory: 539 2022/08/26 16:18:24 - mmengine - INFO - Epoch(val) [140][165/500] eta: 0:00:07 time: 0.0218 data_time: 0.0020 memory: 497 2022/08/26 16:18:24 - mmengine - INFO - Epoch(val) [140][170/500] eta: 0:00:07 time: 0.0219 data_time: 0.0019 memory: 514 2022/08/26 16:18:24 - mmengine - INFO - Epoch(val) [140][175/500] eta: 0:00:07 time: 0.0211 data_time: 0.0019 memory: 539 2022/08/26 16:18:24 - mmengine - INFO - Epoch(val) [140][180/500] eta: 0:00:06 time: 0.0209 data_time: 0.0019 memory: 539 2022/08/26 16:18:24 - mmengine - INFO - Epoch(val) [140][185/500] eta: 0:00:06 time: 0.0208 data_time: 0.0018 memory: 489 2022/08/26 16:18:24 - mmengine - INFO - Epoch(val) [140][190/500] eta: 0:00:07 time: 0.0234 data_time: 0.0019 memory: 516 2022/08/26 16:18:25 - mmengine - INFO - Epoch(val) [140][195/500] eta: 0:00:07 time: 0.0258 data_time: 0.0022 memory: 516 2022/08/26 16:18:25 - mmengine - INFO - Epoch(val) [140][200/500] eta: 0:00:07 time: 0.0247 data_time: 0.0024 memory: 516 2022/08/26 16:18:25 - mmengine - INFO - Epoch(val) [140][205/500] eta: 0:00:07 time: 0.0224 data_time: 0.0020 memory: 664 2022/08/26 16:18:25 - mmengine - INFO - Epoch(val) [140][210/500] eta: 0:00:06 time: 0.0208 data_time: 0.0020 memory: 497 2022/08/26 16:18:25 - mmengine - INFO - Epoch(val) [140][215/500] eta: 0:00:06 time: 0.0212 data_time: 0.0021 memory: 514 2022/08/26 16:18:25 - mmengine - INFO - Epoch(val) [140][220/500] eta: 0:00:06 time: 0.0219 data_time: 0.0020 memory: 572 2022/08/26 16:18:25 - mmengine - INFO - Epoch(val) [140][225/500] eta: 0:00:06 time: 0.0208 data_time: 0.0022 memory: 497 2022/08/26 16:18:25 - mmengine - INFO - Epoch(val) [140][230/500] eta: 0:00:07 time: 0.0291 data_time: 0.0021 memory: 507 2022/08/26 16:18:26 - mmengine - INFO - Epoch(val) [140][235/500] eta: 0:00:07 time: 0.0302 data_time: 0.0019 memory: 497 2022/08/26 16:18:26 - mmengine - INFO - Epoch(val) [140][240/500] eta: 0:00:05 time: 0.0215 data_time: 0.0018 memory: 497 2022/08/26 16:18:26 - mmengine - INFO - Epoch(val) [140][245/500] eta: 0:00:05 time: 0.0211 data_time: 0.0019 memory: 648 2022/08/26 16:18:26 - mmengine - INFO - Epoch(val) [140][250/500] eta: 0:00:05 time: 0.0216 data_time: 0.0019 memory: 497 2022/08/26 16:18:26 - mmengine - INFO - Epoch(val) [140][255/500] eta: 0:00:05 time: 0.0355 data_time: 0.0019 memory: 543 2022/08/26 16:18:26 - mmengine - INFO - Epoch(val) [140][260/500] eta: 0:00:08 time: 0.0339 data_time: 0.0020 memory: 516 2022/08/26 16:18:26 - mmengine - INFO - Epoch(val) [140][265/500] eta: 0:00:08 time: 0.0205 data_time: 0.0020 memory: 622 2022/08/26 16:18:26 - mmengine - INFO - Epoch(val) [140][270/500] eta: 0:00:04 time: 0.0210 data_time: 0.0018 memory: 505 2022/08/26 16:18:27 - mmengine - INFO - Epoch(val) [140][275/500] eta: 0:00:04 time: 0.0238 data_time: 0.0018 memory: 539 2022/08/26 16:18:27 - mmengine - INFO - Epoch(val) [140][280/500] eta: 0:00:04 time: 0.0219 data_time: 0.0018 memory: 473 2022/08/26 16:18:27 - mmengine - INFO - Epoch(val) [140][285/500] eta: 0:00:04 time: 0.0238 data_time: 0.0019 memory: 481 2022/08/26 16:18:27 - mmengine - INFO - Epoch(val) [140][290/500] eta: 0:00:05 time: 0.0254 data_time: 0.0019 memory: 464 2022/08/26 16:18:27 - mmengine - INFO - Epoch(val) [140][295/500] eta: 0:00:05 time: 0.0269 data_time: 0.0019 memory: 489 2022/08/26 16:18:27 - mmengine - INFO - Epoch(val) [140][300/500] eta: 0:00:05 time: 0.0272 data_time: 0.0020 memory: 497 2022/08/26 16:18:27 - mmengine - INFO - Epoch(val) [140][305/500] eta: 0:00:05 time: 0.0202 data_time: 0.0020 memory: 597 2022/08/26 16:18:27 - mmengine - INFO - Epoch(val) [140][310/500] eta: 0:00:03 time: 0.0209 data_time: 0.0021 memory: 606 2022/08/26 16:18:27 - mmengine - INFO - Epoch(val) [140][315/500] eta: 0:00:03 time: 0.0220 data_time: 0.0021 memory: 539 2022/08/26 16:18:28 - mmengine - INFO - Epoch(val) [140][320/500] eta: 0:00:04 time: 0.0232 data_time: 0.0021 memory: 499 2022/08/26 16:18:28 - mmengine - INFO - Epoch(val) [140][325/500] eta: 0:00:04 time: 0.0214 data_time: 0.0021 memory: 497 2022/08/26 16:18:28 - mmengine - INFO - Epoch(val) [140][330/500] eta: 0:00:03 time: 0.0214 data_time: 0.0020 memory: 497 2022/08/26 16:18:28 - mmengine - INFO - Epoch(val) [140][335/500] eta: 0:00:03 time: 0.0226 data_time: 0.0019 memory: 497 2022/08/26 16:18:28 - mmengine - INFO - Epoch(val) [140][340/500] eta: 0:00:03 time: 0.0211 data_time: 0.0019 memory: 522 2022/08/26 16:18:28 - mmengine - INFO - Epoch(val) [140][345/500] eta: 0:00:03 time: 0.0203 data_time: 0.0019 memory: 572 2022/08/26 16:18:28 - mmengine - INFO - Epoch(val) [140][350/500] eta: 0:00:03 time: 0.0221 data_time: 0.0020 memory: 499 2022/08/26 16:18:28 - mmengine - INFO - Epoch(val) [140][355/500] eta: 0:00:03 time: 0.0256 data_time: 0.0020 memory: 525 2022/08/26 16:18:28 - mmengine - INFO - Epoch(val) [140][360/500] eta: 0:00:03 time: 0.0237 data_time: 0.0020 memory: 525 2022/08/26 16:18:29 - mmengine - INFO - Epoch(val) [140][365/500] eta: 0:00:03 time: 0.0231 data_time: 0.0021 memory: 707 2022/08/26 16:18:29 - mmengine - INFO - Epoch(val) [140][370/500] eta: 0:00:02 time: 0.0224 data_time: 0.0021 memory: 539 2022/08/26 16:18:29 - mmengine - INFO - Epoch(val) [140][375/500] eta: 0:00:02 time: 0.0203 data_time: 0.0019 memory: 765 2022/08/26 16:18:29 - mmengine - INFO - Epoch(val) [140][380/500] eta: 0:00:02 time: 0.0217 data_time: 0.0017 memory: 572 2022/08/26 16:18:29 - mmengine - INFO - Epoch(val) [140][385/500] eta: 0:00:02 time: 0.0208 data_time: 0.0019 memory: 497 2022/08/26 16:18:29 - mmengine - INFO - Epoch(val) [140][390/500] eta: 0:00:02 time: 0.0209 data_time: 0.0021 memory: 539 2022/08/26 16:18:29 - mmengine - INFO - Epoch(val) [140][395/500] eta: 0:00:02 time: 0.0284 data_time: 0.0021 memory: 489 2022/08/26 16:18:29 - mmengine - INFO - Epoch(val) [140][400/500] eta: 0:00:02 time: 0.0293 data_time: 0.0021 memory: 497 2022/08/26 16:18:30 - mmengine - INFO - Epoch(val) [140][405/500] eta: 0:00:02 time: 0.0211 data_time: 0.0019 memory: 497 2022/08/26 16:18:30 - mmengine - INFO - Epoch(val) [140][410/500] eta: 0:00:01 time: 0.0201 data_time: 0.0020 memory: 497 2022/08/26 16:18:30 - mmengine - INFO - Epoch(val) [140][415/500] eta: 0:00:01 time: 0.0228 data_time: 0.0020 memory: 497 2022/08/26 16:18:30 - mmengine - INFO - Epoch(val) [140][420/500] eta: 0:00:01 time: 0.0239 data_time: 0.0018 memory: 497 2022/08/26 16:18:30 - mmengine - INFO - Epoch(val) [140][425/500] eta: 0:00:01 time: 0.0225 data_time: 0.0018 memory: 489 2022/08/26 16:18:30 - mmengine - INFO - Epoch(val) [140][430/500] eta: 0:00:01 time: 0.0206 data_time: 0.0019 memory: 516 2022/08/26 16:18:30 - mmengine - INFO - Epoch(val) [140][435/500] eta: 0:00:01 time: 0.0226 data_time: 0.0019 memory: 681 2022/08/26 16:18:30 - mmengine - INFO - Epoch(val) [140][440/500] eta: 0:00:01 time: 0.0234 data_time: 0.0018 memory: 539 2022/08/26 16:18:30 - mmengine - INFO - Epoch(val) [140][445/500] eta: 0:00:01 time: 0.0204 data_time: 0.0018 memory: 489 2022/08/26 16:18:31 - mmengine - INFO - Epoch(val) [140][450/500] eta: 0:00:00 time: 0.0195 data_time: 0.0018 memory: 507 2022/08/26 16:18:31 - mmengine - INFO - Epoch(val) [140][455/500] eta: 0:00:00 time: 0.0210 data_time: 0.0019 memory: 606 2022/08/26 16:18:31 - mmengine - INFO - Epoch(val) [140][460/500] eta: 0:00:00 time: 0.0213 data_time: 0.0019 memory: 499 2022/08/26 16:18:31 - mmengine - INFO - Epoch(val) [140][465/500] eta: 0:00:00 time: 0.0215 data_time: 0.0020 memory: 539 2022/08/26 16:18:31 - mmengine - INFO - Epoch(val) [140][470/500] eta: 0:00:00 time: 0.0216 data_time: 0.0021 memory: 516 2022/08/26 16:18:31 - mmengine - INFO - Epoch(val) [140][475/500] eta: 0:00:00 time: 0.0223 data_time: 0.0021 memory: 507 2022/08/26 16:18:31 - mmengine - INFO - Epoch(val) [140][480/500] eta: 0:00:00 time: 0.0220 data_time: 0.0020 memory: 464 2022/08/26 16:18:31 - mmengine - INFO - Epoch(val) [140][485/500] eta: 0:00:00 time: 0.0206 data_time: 0.0020 memory: 497 2022/08/26 16:18:31 - mmengine - INFO - Epoch(val) [140][490/500] eta: 0:00:00 time: 0.0194 data_time: 0.0019 memory: 497 2022/08/26 16:18:31 - mmengine - INFO - Epoch(val) [140][495/500] eta: 0:00:00 time: 0.0199 data_time: 0.0020 memory: 480 2022/08/26 16:18:32 - mmengine - INFO - Epoch(val) [140][500/500] eta: 0:00:00 time: 0.0205 data_time: 0.0020 memory: 522 2022/08/26 16:18:32 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 16:18:32 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7405, precision: 0.6695, hmean: 0.7032 2022/08/26 16:18:32 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7405, precision: 0.6695, hmean: 0.7032 2022/08/26 16:18:32 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7405, precision: 0.6695, hmean: 0.7032 2022/08/26 16:18:32 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7405, precision: 0.6695, hmean: 0.7032 2022/08/26 16:18:32 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7405, precision: 0.6695, hmean: 0.7032 2022/08/26 16:18:32 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7405, precision: 0.6729, hmean: 0.7051 2022/08/26 16:18:32 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7402, precision: 0.6878, hmean: 0.7130 2022/08/26 16:18:32 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7392, precision: 0.7114, hmean: 0.7250 2022/08/26 16:18:32 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7359, precision: 0.7321, hmean: 0.7340 2022/08/26 16:18:32 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7301, precision: 0.7592, hmean: 0.7444 2022/08/26 16:18:32 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7213, precision: 0.7791, hmean: 0.7491 2022/08/26 16:18:32 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7076, precision: 0.8006, hmean: 0.7513 2022/08/26 16:18:32 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6615, precision: 0.8262, hmean: 0.7347 2022/08/26 16:18:32 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.3528, precision: 0.8785, hmean: 0.5035 2022/08/26 16:18:32 - mmengine - INFO - Epoch(val) [140][500/500] icdar/precision: 0.8006 icdar/recall: 0.7076 icdar/hmean: 0.7513 2022/08/26 16:18:37 - mmengine - INFO - Epoch(train) [141][5/63] lr: 7.8695e-04 eta: 0:00:00 time: 0.7903 data_time: 0.2300 memory: 12277 loss_text: 0.0895 loss_kernel: 0.0506 loss_embedding: 0.0202 loss: 0.1604 2022/08/26 16:18:40 - mmengine - INFO - Epoch(train) [141][10/63] lr: 7.8695e-04 eta: 4:26:46 time: 0.8174 data_time: 0.2313 memory: 12277 loss_text: 0.0816 loss_kernel: 0.0454 loss_embedding: 0.0193 loss: 0.1464 2022/08/26 16:18:43 - mmengine - INFO - Epoch(train) [141][15/63] lr: 7.8695e-04 eta: 4:26:46 time: 0.5364 data_time: 0.0228 memory: 12277 loss_text: 0.0767 loss_kernel: 0.0444 loss_embedding: 0.0195 loss: 0.1405 2022/08/26 16:18:45 - mmengine - INFO - Epoch(train) [141][20/63] lr: 7.8695e-04 eta: 4:26:40 time: 0.5532 data_time: 0.0346 memory: 12277 loss_text: 0.0713 loss_kernel: 0.0424 loss_embedding: 0.0187 loss: 0.1324 2022/08/26 16:18:48 - mmengine - INFO - Epoch(train) [141][25/63] lr: 7.8695e-04 eta: 4:26:40 time: 0.5731 data_time: 0.0363 memory: 12277 loss_text: 0.0683 loss_kernel: 0.0408 loss_embedding: 0.0176 loss: 0.1267 2022/08/26 16:18:51 - mmengine - INFO - Epoch(train) [141][30/63] lr: 7.8695e-04 eta: 4:26:34 time: 0.5481 data_time: 0.0234 memory: 12277 loss_text: 0.0656 loss_kernel: 0.0398 loss_embedding: 0.0194 loss: 0.1248 2022/08/26 16:18:54 - mmengine - INFO - Epoch(train) [141][35/63] lr: 7.8695e-04 eta: 4:26:34 time: 0.6046 data_time: 0.0292 memory: 12277 loss_text: 0.0671 loss_kernel: 0.0389 loss_embedding: 0.0199 loss: 0.1259 2022/08/26 16:18:57 - mmengine - INFO - Epoch(train) [141][40/63] lr: 7.8695e-04 eta: 4:26:31 time: 0.6252 data_time: 0.0361 memory: 12277 loss_text: 0.0704 loss_kernel: 0.0402 loss_embedding: 0.0196 loss: 0.1302 2022/08/26 16:19:00 - mmengine - INFO - Epoch(train) [141][45/63] lr: 7.8695e-04 eta: 4:26:31 time: 0.5694 data_time: 0.0305 memory: 12277 loss_text: 0.0751 loss_kernel: 0.0420 loss_embedding: 0.0188 loss: 0.1359 2022/08/26 16:19:03 - mmengine - INFO - Epoch(train) [141][50/63] lr: 7.8695e-04 eta: 4:26:26 time: 0.5485 data_time: 0.0249 memory: 12277 loss_text: 0.0819 loss_kernel: 0.0427 loss_embedding: 0.0194 loss: 0.1441 2022/08/26 16:19:05 - mmengine - INFO - Epoch(train) [141][55/63] lr: 7.8695e-04 eta: 4:26:26 time: 0.5302 data_time: 0.0230 memory: 12277 loss_text: 0.0774 loss_kernel: 0.0427 loss_embedding: 0.0192 loss: 0.1392 2022/08/26 16:19:08 - mmengine - INFO - Epoch(train) [141][60/63] lr: 7.8695e-04 eta: 4:26:19 time: 0.5320 data_time: 0.0256 memory: 12277 loss_text: 0.0753 loss_kernel: 0.0437 loss_embedding: 0.0161 loss: 0.1352 2022/08/26 16:19:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:19:14 - mmengine - INFO - Epoch(train) [142][5/63] lr: 7.8541e-04 eta: 4:26:19 time: 0.6678 data_time: 0.1905 memory: 12277 loss_text: 0.0839 loss_kernel: 0.0430 loss_embedding: 0.0169 loss: 0.1437 2022/08/26 16:19:16 - mmengine - INFO - Epoch(train) [142][10/63] lr: 7.8541e-04 eta: 4:26:11 time: 0.6915 data_time: 0.1965 memory: 12277 loss_text: 0.0775 loss_kernel: 0.0422 loss_embedding: 0.0182 loss: 0.1379 2022/08/26 16:19:19 - mmengine - INFO - Epoch(train) [142][15/63] lr: 7.8541e-04 eta: 4:26:11 time: 0.5347 data_time: 0.0338 memory: 12277 loss_text: 0.0800 loss_kernel: 0.0434 loss_embedding: 0.0194 loss: 0.1428 2022/08/26 16:19:22 - mmengine - INFO - Epoch(train) [142][20/63] lr: 7.8541e-04 eta: 4:26:06 time: 0.5518 data_time: 0.0294 memory: 12277 loss_text: 0.0821 loss_kernel: 0.0448 loss_embedding: 0.0182 loss: 0.1450 2022/08/26 16:19:25 - mmengine - INFO - Epoch(train) [142][25/63] lr: 7.8541e-04 eta: 4:26:06 time: 0.5568 data_time: 0.0221 memory: 12277 loss_text: 0.0787 loss_kernel: 0.0420 loss_embedding: 0.0176 loss: 0.1383 2022/08/26 16:19:27 - mmengine - INFO - Epoch(train) [142][30/63] lr: 7.8541e-04 eta: 4:26:00 time: 0.5561 data_time: 0.0229 memory: 12277 loss_text: 0.0787 loss_kernel: 0.0407 loss_embedding: 0.0194 loss: 0.1388 2022/08/26 16:19:30 - mmengine - INFO - Epoch(train) [142][35/63] lr: 7.8541e-04 eta: 4:26:00 time: 0.5488 data_time: 0.0268 memory: 12277 loss_text: 0.0733 loss_kernel: 0.0412 loss_embedding: 0.0217 loss: 0.1362 2022/08/26 16:19:33 - mmengine - INFO - Epoch(train) [142][40/63] lr: 7.8541e-04 eta: 4:25:55 time: 0.5484 data_time: 0.0268 memory: 12277 loss_text: 0.0739 loss_kernel: 0.0407 loss_embedding: 0.0200 loss: 0.1346 2022/08/26 16:19:36 - mmengine - INFO - Epoch(train) [142][45/63] lr: 7.8541e-04 eta: 4:25:55 time: 0.6008 data_time: 0.0240 memory: 12277 loss_text: 0.0776 loss_kernel: 0.0407 loss_embedding: 0.0218 loss: 0.1401 2022/08/26 16:19:39 - mmengine - INFO - Epoch(train) [142][50/63] lr: 7.8541e-04 eta: 4:25:51 time: 0.6088 data_time: 0.0257 memory: 12277 loss_text: 0.0714 loss_kernel: 0.0395 loss_embedding: 0.0232 loss: 0.1342 2022/08/26 16:19:42 - mmengine - INFO - Epoch(train) [142][55/63] lr: 7.8541e-04 eta: 4:25:51 time: 0.5442 data_time: 0.0302 memory: 12277 loss_text: 0.0732 loss_kernel: 0.0453 loss_embedding: 0.0210 loss: 0.1395 2022/08/26 16:19:44 - mmengine - INFO - Epoch(train) [142][60/63] lr: 7.8541e-04 eta: 4:25:45 time: 0.5319 data_time: 0.0307 memory: 12277 loss_text: 0.0811 loss_kernel: 0.0484 loss_embedding: 0.0221 loss: 0.1517 2022/08/26 16:19:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:19:50 - mmengine - INFO - Epoch(train) [143][5/63] lr: 7.8386e-04 eta: 4:25:45 time: 0.7056 data_time: 0.2249 memory: 12277 loss_text: 0.0715 loss_kernel: 0.0410 loss_embedding: 0.0275 loss: 0.1400 2022/08/26 16:19:53 - mmengine - INFO - Epoch(train) [143][10/63] lr: 7.8386e-04 eta: 4:25:38 time: 0.7314 data_time: 0.2225 memory: 12277 loss_text: 0.0658 loss_kernel: 0.0390 loss_embedding: 0.0241 loss: 0.1289 2022/08/26 16:19:56 - mmengine - INFO - Epoch(train) [143][15/63] lr: 7.8386e-04 eta: 4:25:38 time: 0.5806 data_time: 0.0246 memory: 12277 loss_text: 0.0749 loss_kernel: 0.0418 loss_embedding: 0.0174 loss: 0.1341 2022/08/26 16:19:59 - mmengine - INFO - Epoch(train) [143][20/63] lr: 7.8386e-04 eta: 4:25:34 time: 0.5915 data_time: 0.0302 memory: 12277 loss_text: 0.0829 loss_kernel: 0.0456 loss_embedding: 0.0181 loss: 0.1466 2022/08/26 16:20:01 - mmengine - INFO - Epoch(train) [143][25/63] lr: 7.8386e-04 eta: 4:25:34 time: 0.5450 data_time: 0.0322 memory: 12277 loss_text: 0.0799 loss_kernel: 0.0439 loss_embedding: 0.0184 loss: 0.1422 2022/08/26 16:20:05 - mmengine - INFO - Epoch(train) [143][30/63] lr: 7.8386e-04 eta: 4:25:29 time: 0.5771 data_time: 0.0352 memory: 12277 loss_text: 0.0743 loss_kernel: 0.0404 loss_embedding: 0.0159 loss: 0.1305 2022/08/26 16:20:07 - mmengine - INFO - Epoch(train) [143][35/63] lr: 7.8386e-04 eta: 4:25:29 time: 0.5627 data_time: 0.0324 memory: 12277 loss_text: 0.0676 loss_kernel: 0.0394 loss_embedding: 0.0167 loss: 0.1237 2022/08/26 16:20:10 - mmengine - INFO - Epoch(train) [143][40/63] lr: 7.8386e-04 eta: 4:25:23 time: 0.5359 data_time: 0.0252 memory: 12277 loss_text: 0.0668 loss_kernel: 0.0399 loss_embedding: 0.0191 loss: 0.1258 2022/08/26 16:20:13 - mmengine - INFO - Epoch(train) [143][45/63] lr: 7.8386e-04 eta: 4:25:23 time: 0.5549 data_time: 0.0288 memory: 12277 loss_text: 0.0681 loss_kernel: 0.0398 loss_embedding: 0.0188 loss: 0.1267 2022/08/26 16:20:16 - mmengine - INFO - Epoch(train) [143][50/63] lr: 7.8386e-04 eta: 4:25:18 time: 0.5643 data_time: 0.0313 memory: 12277 loss_text: 0.0698 loss_kernel: 0.0395 loss_embedding: 0.0179 loss: 0.1272 2022/08/26 16:20:18 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:20:18 - mmengine - INFO - Epoch(train) [143][55/63] lr: 7.8386e-04 eta: 4:25:18 time: 0.5623 data_time: 0.0293 memory: 12277 loss_text: 0.0701 loss_kernel: 0.0407 loss_embedding: 0.0177 loss: 0.1285 2022/08/26 16:20:21 - mmengine - INFO - Epoch(train) [143][60/63] lr: 7.8386e-04 eta: 4:25:12 time: 0.5561 data_time: 0.0297 memory: 12277 loss_text: 0.0746 loss_kernel: 0.0422 loss_embedding: 0.0183 loss: 0.1351 2022/08/26 16:20:22 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:20:28 - mmengine - INFO - Epoch(train) [144][5/63] lr: 7.8232e-04 eta: 4:25:12 time: 0.8072 data_time: 0.2170 memory: 12277 loss_text: 0.0657 loss_kernel: 0.0397 loss_embedding: 0.0184 loss: 0.1238 2022/08/26 16:20:31 - mmengine - INFO - Epoch(train) [144][10/63] lr: 7.8232e-04 eta: 4:25:10 time: 0.8558 data_time: 0.2285 memory: 12277 loss_text: 0.0665 loss_kernel: 0.0399 loss_embedding: 0.0168 loss: 0.1232 2022/08/26 16:20:34 - mmengine - INFO - Epoch(train) [144][15/63] lr: 7.8232e-04 eta: 4:25:10 time: 0.5601 data_time: 0.0311 memory: 12277 loss_text: 0.0729 loss_kernel: 0.0399 loss_embedding: 0.0177 loss: 0.1305 2022/08/26 16:20:36 - mmengine - INFO - Epoch(train) [144][20/63] lr: 7.8232e-04 eta: 4:25:03 time: 0.5258 data_time: 0.0269 memory: 12277 loss_text: 0.0774 loss_kernel: 0.0396 loss_embedding: 0.0170 loss: 0.1340 2022/08/26 16:20:39 - mmengine - INFO - Epoch(train) [144][25/63] lr: 7.8232e-04 eta: 4:25:03 time: 0.5403 data_time: 0.0294 memory: 12277 loss_text: 0.0720 loss_kernel: 0.0390 loss_embedding: 0.0156 loss: 0.1266 2022/08/26 16:20:42 - mmengine - INFO - Epoch(train) [144][30/63] lr: 7.8232e-04 eta: 4:24:59 time: 0.5951 data_time: 0.0323 memory: 12277 loss_text: 0.0675 loss_kernel: 0.0402 loss_embedding: 0.0174 loss: 0.1251 2022/08/26 16:20:45 - mmengine - INFO - Epoch(train) [144][35/63] lr: 7.8232e-04 eta: 4:24:59 time: 0.6256 data_time: 0.0335 memory: 12277 loss_text: 0.0806 loss_kernel: 0.0421 loss_embedding: 0.0185 loss: 0.1412 2022/08/26 16:20:48 - mmengine - INFO - Epoch(train) [144][40/63] lr: 7.8232e-04 eta: 4:24:55 time: 0.5840 data_time: 0.0262 memory: 12277 loss_text: 0.0934 loss_kernel: 0.0456 loss_embedding: 0.0201 loss: 0.1591 2022/08/26 16:20:51 - mmengine - INFO - Epoch(train) [144][45/63] lr: 7.8232e-04 eta: 4:24:55 time: 0.5288 data_time: 0.0263 memory: 12277 loss_text: 0.0810 loss_kernel: 0.0442 loss_embedding: 0.0178 loss: 0.1430 2022/08/26 16:20:54 - mmengine - INFO - Epoch(train) [144][50/63] lr: 7.8232e-04 eta: 4:24:50 time: 0.5706 data_time: 0.0283 memory: 12277 loss_text: 0.0700 loss_kernel: 0.0411 loss_embedding: 0.0160 loss: 0.1271 2022/08/26 16:20:56 - mmengine - INFO - Epoch(train) [144][55/63] lr: 7.8232e-04 eta: 4:24:50 time: 0.5826 data_time: 0.0304 memory: 12277 loss_text: 0.0686 loss_kernel: 0.0407 loss_embedding: 0.0187 loss: 0.1280 2022/08/26 16:20:59 - mmengine - INFO - Epoch(train) [144][60/63] lr: 7.8232e-04 eta: 4:24:43 time: 0.5280 data_time: 0.0269 memory: 12277 loss_text: 0.0636 loss_kernel: 0.0451 loss_embedding: 0.0187 loss: 0.1274 2022/08/26 16:21:00 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:21:05 - mmengine - INFO - Epoch(train) [145][5/63] lr: 7.8078e-04 eta: 4:24:43 time: 0.6720 data_time: 0.1861 memory: 12277 loss_text: 0.0711 loss_kernel: 0.0444 loss_embedding: 0.0155 loss: 0.1309 2022/08/26 16:21:07 - mmengine - INFO - Epoch(train) [145][10/63] lr: 7.8078e-04 eta: 4:24:36 time: 0.7066 data_time: 0.1896 memory: 12277 loss_text: 0.0698 loss_kernel: 0.0428 loss_embedding: 0.0140 loss: 0.1267 2022/08/26 16:21:10 - mmengine - INFO - Epoch(train) [145][15/63] lr: 7.8078e-04 eta: 4:24:36 time: 0.5322 data_time: 0.0250 memory: 12277 loss_text: 0.0674 loss_kernel: 0.0429 loss_embedding: 0.0154 loss: 0.1257 2022/08/26 16:21:13 - mmengine - INFO - Epoch(train) [145][20/63] lr: 7.8078e-04 eta: 4:24:29 time: 0.5276 data_time: 0.0239 memory: 12277 loss_text: 0.0612 loss_kernel: 0.0393 loss_embedding: 0.0182 loss: 0.1187 2022/08/26 16:21:16 - mmengine - INFO - Epoch(train) [145][25/63] lr: 7.8078e-04 eta: 4:24:29 time: 0.6267 data_time: 0.0242 memory: 12277 loss_text: 0.0630 loss_kernel: 0.0386 loss_embedding: 0.0198 loss: 0.1214 2022/08/26 16:21:19 - mmengine - INFO - Epoch(train) [145][30/63] lr: 7.8078e-04 eta: 4:24:27 time: 0.6488 data_time: 0.0316 memory: 12277 loss_text: 0.0689 loss_kernel: 0.0388 loss_embedding: 0.0183 loss: 0.1259 2022/08/26 16:21:22 - mmengine - INFO - Epoch(train) [145][35/63] lr: 7.8078e-04 eta: 4:24:27 time: 0.5496 data_time: 0.0308 memory: 12277 loss_text: 0.0687 loss_kernel: 0.0390 loss_embedding: 0.0169 loss: 0.1245 2022/08/26 16:21:25 - mmengine - INFO - Epoch(train) [145][40/63] lr: 7.8078e-04 eta: 4:24:21 time: 0.5371 data_time: 0.0245 memory: 12277 loss_text: 0.0704 loss_kernel: 0.0448 loss_embedding: 0.0179 loss: 0.1331 2022/08/26 16:21:27 - mmengine - INFO - Epoch(train) [145][45/63] lr: 7.8078e-04 eta: 4:24:21 time: 0.5320 data_time: 0.0231 memory: 12277 loss_text: 0.0815 loss_kernel: 0.0506 loss_embedding: 0.0179 loss: 0.1500 2022/08/26 16:21:30 - mmengine - INFO - Epoch(train) [145][50/63] lr: 7.8078e-04 eta: 4:24:15 time: 0.5349 data_time: 0.0259 memory: 12277 loss_text: 0.0756 loss_kernel: 0.0446 loss_embedding: 0.0181 loss: 0.1382 2022/08/26 16:21:33 - mmengine - INFO - Epoch(train) [145][55/63] lr: 7.8078e-04 eta: 4:24:15 time: 0.5471 data_time: 0.0289 memory: 12277 loss_text: 0.0707 loss_kernel: 0.0397 loss_embedding: 0.0158 loss: 0.1262 2022/08/26 16:21:36 - mmengine - INFO - Epoch(train) [145][60/63] lr: 7.8078e-04 eta: 4:24:10 time: 0.5670 data_time: 0.0298 memory: 12277 loss_text: 0.0763 loss_kernel: 0.0425 loss_embedding: 0.0181 loss: 0.1369 2022/08/26 16:21:37 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:21:42 - mmengine - INFO - Epoch(train) [146][5/63] lr: 7.7923e-04 eta: 4:24:10 time: 0.7134 data_time: 0.2236 memory: 12277 loss_text: 0.0831 loss_kernel: 0.0460 loss_embedding: 0.0219 loss: 0.1509 2022/08/26 16:21:45 - mmengine - INFO - Epoch(train) [146][10/63] lr: 7.7923e-04 eta: 4:24:04 time: 0.7615 data_time: 0.2559 memory: 12277 loss_text: 0.0915 loss_kernel: 0.0444 loss_embedding: 0.0214 loss: 0.1572 2022/08/26 16:21:47 - mmengine - INFO - Epoch(train) [146][15/63] lr: 7.7923e-04 eta: 4:24:04 time: 0.5526 data_time: 0.0526 memory: 12277 loss_text: 0.0993 loss_kernel: 0.0451 loss_embedding: 0.0228 loss: 0.1672 2022/08/26 16:21:50 - mmengine - INFO - Epoch(train) [146][20/63] lr: 7.7923e-04 eta: 4:23:58 time: 0.5381 data_time: 0.0209 memory: 12277 loss_text: 0.0930 loss_kernel: 0.0442 loss_embedding: 0.0218 loss: 0.1589 2022/08/26 16:21:53 - mmengine - INFO - Epoch(train) [146][25/63] lr: 7.7923e-04 eta: 4:23:58 time: 0.5635 data_time: 0.0227 memory: 12277 loss_text: 0.0969 loss_kernel: 0.0465 loss_embedding: 0.0242 loss: 0.1676 2022/08/26 16:21:56 - mmengine - INFO - Epoch(train) [146][30/63] lr: 7.7923e-04 eta: 4:23:54 time: 0.6199 data_time: 0.0310 memory: 12277 loss_text: 0.0894 loss_kernel: 0.0442 loss_embedding: 0.0245 loss: 0.1580 2022/08/26 16:21:59 - mmengine - INFO - Epoch(train) [146][35/63] lr: 7.7923e-04 eta: 4:23:54 time: 0.6057 data_time: 0.0316 memory: 12277 loss_text: 0.0783 loss_kernel: 0.0444 loss_embedding: 0.0212 loss: 0.1439 2022/08/26 16:22:02 - mmengine - INFO - Epoch(train) [146][40/63] lr: 7.7923e-04 eta: 4:23:49 time: 0.5439 data_time: 0.0233 memory: 12277 loss_text: 0.0823 loss_kernel: 0.0465 loss_embedding: 0.0193 loss: 0.1480 2022/08/26 16:22:04 - mmengine - INFO - Epoch(train) [146][45/63] lr: 7.7923e-04 eta: 4:23:49 time: 0.5319 data_time: 0.0221 memory: 12277 loss_text: 0.0836 loss_kernel: 0.0442 loss_embedding: 0.0193 loss: 0.1471 2022/08/26 16:22:07 - mmengine - INFO - Epoch(train) [146][50/63] lr: 7.7923e-04 eta: 4:23:43 time: 0.5409 data_time: 0.0280 memory: 12277 loss_text: 0.0776 loss_kernel: 0.0411 loss_embedding: 0.0182 loss: 0.1369 2022/08/26 16:22:10 - mmengine - INFO - Epoch(train) [146][55/63] lr: 7.7923e-04 eta: 4:23:43 time: 0.5525 data_time: 0.0280 memory: 12277 loss_text: 0.0765 loss_kernel: 0.0417 loss_embedding: 0.0185 loss: 0.1366 2022/08/26 16:22:13 - mmengine - INFO - Epoch(train) [146][60/63] lr: 7.7923e-04 eta: 4:23:37 time: 0.5625 data_time: 0.0255 memory: 12277 loss_text: 0.0805 loss_kernel: 0.0418 loss_embedding: 0.0203 loss: 0.1426 2022/08/26 16:22:14 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:22:19 - mmengine - INFO - Epoch(train) [147][5/63] lr: 7.7769e-04 eta: 4:23:37 time: 0.7081 data_time: 0.2026 memory: 12277 loss_text: 0.0828 loss_kernel: 0.0433 loss_embedding: 0.0180 loss: 0.1440 2022/08/26 16:22:21 - mmengine - INFO - Epoch(train) [147][10/63] lr: 7.7769e-04 eta: 4:23:31 time: 0.7325 data_time: 0.2104 memory: 12277 loss_text: 0.0753 loss_kernel: 0.0388 loss_embedding: 0.0188 loss: 0.1329 2022/08/26 16:22:24 - mmengine - INFO - Epoch(train) [147][15/63] lr: 7.7769e-04 eta: 4:23:31 time: 0.5589 data_time: 0.0299 memory: 12277 loss_text: 0.0857 loss_kernel: 0.0442 loss_embedding: 0.0204 loss: 0.1503 2022/08/26 16:22:27 - mmengine - INFO - Epoch(train) [147][20/63] lr: 7.7769e-04 eta: 4:23:26 time: 0.5659 data_time: 0.0265 memory: 12277 loss_text: 0.0853 loss_kernel: 0.0475 loss_embedding: 0.0175 loss: 0.1503 2022/08/26 16:22:30 - mmengine - INFO - Epoch(train) [147][25/63] lr: 7.7769e-04 eta: 4:23:26 time: 0.5646 data_time: 0.0289 memory: 12277 loss_text: 0.0725 loss_kernel: 0.0425 loss_embedding: 0.0205 loss: 0.1355 2022/08/26 16:22:33 - mmengine - INFO - Epoch(train) [147][30/63] lr: 7.7769e-04 eta: 4:23:20 time: 0.5645 data_time: 0.0313 memory: 12277 loss_text: 0.0675 loss_kernel: 0.0390 loss_embedding: 0.0203 loss: 0.1269 2022/08/26 16:22:36 - mmengine - INFO - Epoch(train) [147][35/63] lr: 7.7769e-04 eta: 4:23:20 time: 0.6061 data_time: 0.0358 memory: 12277 loss_text: 0.0704 loss_kernel: 0.0384 loss_embedding: 0.0170 loss: 0.1257 2022/08/26 16:22:39 - mmengine - INFO - Epoch(train) [147][40/63] lr: 7.7769e-04 eta: 4:23:16 time: 0.5862 data_time: 0.0338 memory: 12277 loss_text: 0.0780 loss_kernel: 0.0475 loss_embedding: 0.0163 loss: 0.1417 2022/08/26 16:22:41 - mmengine - INFO - Epoch(train) [147][45/63] lr: 7.7769e-04 eta: 4:23:16 time: 0.5532 data_time: 0.0309 memory: 12277 loss_text: 0.0842 loss_kernel: 0.0503 loss_embedding: 0.0170 loss: 0.1515 2022/08/26 16:22:44 - mmengine - INFO - Epoch(train) [147][50/63] lr: 7.7769e-04 eta: 4:23:10 time: 0.5558 data_time: 0.0297 memory: 12277 loss_text: 0.0708 loss_kernel: 0.0408 loss_embedding: 0.0176 loss: 0.1291 2022/08/26 16:22:47 - mmengine - INFO - Epoch(train) [147][55/63] lr: 7.7769e-04 eta: 4:23:10 time: 0.5377 data_time: 0.0263 memory: 12277 loss_text: 0.0662 loss_kernel: 0.0379 loss_embedding: 0.0174 loss: 0.1215 2022/08/26 16:22:50 - mmengine - INFO - Epoch(train) [147][60/63] lr: 7.7769e-04 eta: 4:23:04 time: 0.5364 data_time: 0.0237 memory: 12277 loss_text: 0.0700 loss_kernel: 0.0383 loss_embedding: 0.0200 loss: 0.1284 2022/08/26 16:22:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:22:55 - mmengine - INFO - Epoch(train) [148][5/63] lr: 7.7614e-04 eta: 4:23:04 time: 0.6857 data_time: 0.1698 memory: 12277 loss_text: 0.0787 loss_kernel: 0.0458 loss_embedding: 0.0182 loss: 0.1427 2022/08/26 16:22:58 - mmengine - INFO - Epoch(train) [148][10/63] lr: 7.7614e-04 eta: 4:22:58 time: 0.7311 data_time: 0.1752 memory: 12277 loss_text: 0.0803 loss_kernel: 0.0485 loss_embedding: 0.0197 loss: 0.1486 2022/08/26 16:23:01 - mmengine - INFO - Epoch(train) [148][15/63] lr: 7.7614e-04 eta: 4:22:58 time: 0.5782 data_time: 0.0331 memory: 12277 loss_text: 0.0754 loss_kernel: 0.0410 loss_embedding: 0.0192 loss: 0.1357 2022/08/26 16:23:04 - mmengine - INFO - Epoch(train) [148][20/63] lr: 7.7614e-04 eta: 4:22:52 time: 0.5528 data_time: 0.0237 memory: 12277 loss_text: 0.0726 loss_kernel: 0.0381 loss_embedding: 0.0186 loss: 0.1293 2022/08/26 16:23:07 - mmengine - INFO - Epoch(train) [148][25/63] lr: 7.7614e-04 eta: 4:22:52 time: 0.6062 data_time: 0.0356 memory: 12277 loss_text: 0.0718 loss_kernel: 0.0393 loss_embedding: 0.0203 loss: 0.1314 2022/08/26 16:23:10 - mmengine - INFO - Epoch(train) [148][30/63] lr: 7.7614e-04 eta: 4:22:49 time: 0.6188 data_time: 0.0400 memory: 12277 loss_text: 0.0674 loss_kernel: 0.0400 loss_embedding: 0.0198 loss: 0.1271 2022/08/26 16:23:13 - mmengine - INFO - Epoch(train) [148][35/63] lr: 7.7614e-04 eta: 4:22:49 time: 0.5491 data_time: 0.0303 memory: 12277 loss_text: 0.0769 loss_kernel: 0.0465 loss_embedding: 0.0175 loss: 0.1408 2022/08/26 16:23:15 - mmengine - INFO - Epoch(train) [148][40/63] lr: 7.7614e-04 eta: 4:22:42 time: 0.5356 data_time: 0.0309 memory: 12277 loss_text: 0.0916 loss_kernel: 0.0495 loss_embedding: 0.0163 loss: 0.1574 2022/08/26 16:23:18 - mmengine - INFO - Epoch(train) [148][45/63] lr: 7.7614e-04 eta: 4:22:42 time: 0.5487 data_time: 0.0328 memory: 12277 loss_text: 0.0820 loss_kernel: 0.0425 loss_embedding: 0.0168 loss: 0.1412 2022/08/26 16:23:21 - mmengine - INFO - Epoch(train) [148][50/63] lr: 7.7614e-04 eta: 4:22:38 time: 0.6010 data_time: 0.0354 memory: 12277 loss_text: 0.0758 loss_kernel: 0.0419 loss_embedding: 0.0160 loss: 0.1337 2022/08/26 16:23:24 - mmengine - INFO - Epoch(train) [148][55/63] lr: 7.7614e-04 eta: 4:22:38 time: 0.6316 data_time: 0.0390 memory: 12277 loss_text: 0.0857 loss_kernel: 0.0454 loss_embedding: 0.0164 loss: 0.1475 2022/08/26 16:23:27 - mmengine - INFO - Epoch(train) [148][60/63] lr: 7.7614e-04 eta: 4:22:35 time: 0.6094 data_time: 0.0315 memory: 12277 loss_text: 0.0778 loss_kernel: 0.0429 loss_embedding: 0.0172 loss: 0.1379 2022/08/26 16:23:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:23:34 - mmengine - INFO - Epoch(train) [149][5/63] lr: 7.7460e-04 eta: 4:22:35 time: 0.7599 data_time: 0.1741 memory: 12277 loss_text: 0.0681 loss_kernel: 0.0439 loss_embedding: 0.0180 loss: 0.1300 2022/08/26 16:23:37 - mmengine - INFO - Epoch(train) [149][10/63] lr: 7.7460e-04 eta: 4:22:29 time: 0.7782 data_time: 0.1799 memory: 12277 loss_text: 0.0758 loss_kernel: 0.0409 loss_embedding: 0.0168 loss: 0.1335 2022/08/26 16:23:39 - mmengine - INFO - Epoch(train) [149][15/63] lr: 7.7460e-04 eta: 4:22:29 time: 0.5415 data_time: 0.0269 memory: 12277 loss_text: 0.0776 loss_kernel: 0.0398 loss_embedding: 0.0163 loss: 0.1336 2022/08/26 16:23:42 - mmengine - INFO - Epoch(train) [149][20/63] lr: 7.7460e-04 eta: 4:22:24 time: 0.5523 data_time: 0.0237 memory: 12277 loss_text: 0.0748 loss_kernel: 0.0389 loss_embedding: 0.0177 loss: 0.1314 2022/08/26 16:23:45 - mmengine - INFO - Epoch(train) [149][25/63] lr: 7.7460e-04 eta: 4:22:24 time: 0.5853 data_time: 0.0337 memory: 12277 loss_text: 0.0788 loss_kernel: 0.0419 loss_embedding: 0.0170 loss: 0.1378 2022/08/26 16:23:48 - mmengine - INFO - Epoch(train) [149][30/63] lr: 7.7460e-04 eta: 4:22:19 time: 0.5912 data_time: 0.0382 memory: 12277 loss_text: 0.0840 loss_kernel: 0.0464 loss_embedding: 0.0162 loss: 0.1466 2022/08/26 16:23:51 - mmengine - INFO - Epoch(train) [149][35/63] lr: 7.7460e-04 eta: 4:22:19 time: 0.5536 data_time: 0.0291 memory: 12277 loss_text: 0.0807 loss_kernel: 0.0438 loss_embedding: 0.0200 loss: 0.1445 2022/08/26 16:23:54 - mmengine - INFO - Epoch(train) [149][40/63] lr: 7.7460e-04 eta: 4:22:15 time: 0.5951 data_time: 0.0285 memory: 12277 loss_text: 0.0743 loss_kernel: 0.0418 loss_embedding: 0.0200 loss: 0.1360 2022/08/26 16:23:57 - mmengine - INFO - Epoch(train) [149][45/63] lr: 7.7460e-04 eta: 4:22:15 time: 0.5985 data_time: 0.0308 memory: 12277 loss_text: 0.0825 loss_kernel: 0.0420 loss_embedding: 0.0161 loss: 0.1405 2022/08/26 16:23:59 - mmengine - INFO - Epoch(train) [149][50/63] lr: 7.7460e-04 eta: 4:22:09 time: 0.5392 data_time: 0.0289 memory: 12277 loss_text: 0.0800 loss_kernel: 0.0413 loss_embedding: 0.0145 loss: 0.1358 2022/08/26 16:24:02 - mmengine - INFO - Epoch(train) [149][55/63] lr: 7.7460e-04 eta: 4:22:09 time: 0.5446 data_time: 0.0279 memory: 12277 loss_text: 0.0787 loss_kernel: 0.0443 loss_embedding: 0.0157 loss: 0.1387 2022/08/26 16:24:05 - mmengine - INFO - Epoch(train) [149][60/63] lr: 7.7460e-04 eta: 4:22:04 time: 0.5747 data_time: 0.0252 memory: 12277 loss_text: 0.0784 loss_kernel: 0.0432 loss_embedding: 0.0199 loss: 0.1415 2022/08/26 16:24:07 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:24:11 - mmengine - INFO - Epoch(train) [150][5/63] lr: 7.7305e-04 eta: 4:22:04 time: 0.6468 data_time: 0.1564 memory: 12277 loss_text: 0.0654 loss_kernel: 0.0389 loss_embedding: 0.0178 loss: 0.1221 2022/08/26 16:24:14 - mmengine - INFO - Epoch(train) [150][10/63] lr: 7.7305e-04 eta: 4:21:56 time: 0.6979 data_time: 0.1717 memory: 12277 loss_text: 0.0626 loss_kernel: 0.0384 loss_embedding: 0.0165 loss: 0.1175 2022/08/26 16:24:16 - mmengine - INFO - Epoch(train) [150][15/63] lr: 7.7305e-04 eta: 4:21:56 time: 0.5744 data_time: 0.0392 memory: 12277 loss_text: 0.0730 loss_kernel: 0.0426 loss_embedding: 0.0165 loss: 0.1321 2022/08/26 16:24:19 - mmengine - INFO - Epoch(train) [150][20/63] lr: 7.7305e-04 eta: 4:21:51 time: 0.5480 data_time: 0.0247 memory: 12277 loss_text: 0.0764 loss_kernel: 0.0424 loss_embedding: 0.0171 loss: 0.1360 2022/08/26 16:24:22 - mmengine - INFO - Epoch(train) [150][25/63] lr: 7.7305e-04 eta: 4:21:51 time: 0.5784 data_time: 0.0261 memory: 12277 loss_text: 0.0799 loss_kernel: 0.0454 loss_embedding: 0.0167 loss: 0.1419 2022/08/26 16:24:25 - mmengine - INFO - Epoch(train) [150][30/63] lr: 7.7305e-04 eta: 4:21:47 time: 0.6126 data_time: 0.0369 memory: 12277 loss_text: 0.0745 loss_kernel: 0.0453 loss_embedding: 0.0157 loss: 0.1355 2022/08/26 16:24:28 - mmengine - INFO - Epoch(train) [150][35/63] lr: 7.7305e-04 eta: 4:21:47 time: 0.5893 data_time: 0.0361 memory: 12277 loss_text: 0.0643 loss_kernel: 0.0400 loss_embedding: 0.0177 loss: 0.1221 2022/08/26 16:24:31 - mmengine - INFO - Epoch(train) [150][40/63] lr: 7.7305e-04 eta: 4:21:42 time: 0.5776 data_time: 0.0261 memory: 12277 loss_text: 0.0696 loss_kernel: 0.0409 loss_embedding: 0.0188 loss: 0.1293 2022/08/26 16:24:34 - mmengine - INFO - Epoch(train) [150][45/63] lr: 7.7305e-04 eta: 4:21:42 time: 0.6224 data_time: 0.0277 memory: 12277 loss_text: 0.0749 loss_kernel: 0.0413 loss_embedding: 0.0199 loss: 0.1361 2022/08/26 16:24:37 - mmengine - INFO - Epoch(train) [150][50/63] lr: 7.7305e-04 eta: 4:21:39 time: 0.6205 data_time: 0.0418 memory: 12277 loss_text: 0.0779 loss_kernel: 0.0433 loss_embedding: 0.0191 loss: 0.1403 2022/08/26 16:24:40 - mmengine - INFO - Epoch(train) [150][55/63] lr: 7.7305e-04 eta: 4:21:39 time: 0.5455 data_time: 0.0423 memory: 12277 loss_text: 0.0750 loss_kernel: 0.0424 loss_embedding: 0.0181 loss: 0.1355 2022/08/26 16:24:43 - mmengine - INFO - Epoch(train) [150][60/63] lr: 7.7305e-04 eta: 4:21:33 time: 0.5633 data_time: 0.0368 memory: 12277 loss_text: 0.0750 loss_kernel: 0.0433 loss_embedding: 0.0175 loss: 0.1358 2022/08/26 16:24:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:24:49 - mmengine - INFO - Epoch(train) [151][5/63] lr: 7.7150e-04 eta: 4:21:33 time: 0.7006 data_time: 0.1859 memory: 12277 loss_text: 0.0888 loss_kernel: 0.0494 loss_embedding: 0.0183 loss: 0.1566 2022/08/26 16:24:51 - mmengine - INFO - Epoch(train) [151][10/63] lr: 7.7150e-04 eta: 4:21:26 time: 0.7180 data_time: 0.1932 memory: 12277 loss_text: 0.0826 loss_kernel: 0.0454 loss_embedding: 0.0182 loss: 0.1463 2022/08/26 16:24:54 - mmengine - INFO - Epoch(train) [151][15/63] lr: 7.7150e-04 eta: 4:21:26 time: 0.5829 data_time: 0.0308 memory: 12277 loss_text: 0.0665 loss_kernel: 0.0370 loss_embedding: 0.0141 loss: 0.1175 2022/08/26 16:24:57 - mmengine - INFO - Epoch(train) [151][20/63] lr: 7.7150e-04 eta: 4:21:21 time: 0.5641 data_time: 0.0243 memory: 12277 loss_text: 0.0698 loss_kernel: 0.0401 loss_embedding: 0.0144 loss: 0.1243 2022/08/26 16:25:00 - mmengine - INFO - Epoch(train) [151][25/63] lr: 7.7150e-04 eta: 4:21:21 time: 0.5334 data_time: 0.0240 memory: 12277 loss_text: 0.0699 loss_kernel: 0.0452 loss_embedding: 0.0176 loss: 0.1326 2022/08/26 16:25:03 - mmengine - INFO - Epoch(train) [151][30/63] lr: 7.7150e-04 eta: 4:21:15 time: 0.5497 data_time: 0.0267 memory: 12277 loss_text: 0.0703 loss_kernel: 0.0461 loss_embedding: 0.0189 loss: 0.1352 2022/08/26 16:25:05 - mmengine - INFO - Epoch(train) [151][35/63] lr: 7.7150e-04 eta: 4:21:15 time: 0.5347 data_time: 0.0261 memory: 12277 loss_text: 0.0748 loss_kernel: 0.0459 loss_embedding: 0.0182 loss: 0.1389 2022/08/26 16:25:08 - mmengine - INFO - Epoch(train) [151][40/63] lr: 7.7150e-04 eta: 4:21:09 time: 0.5233 data_time: 0.0219 memory: 12277 loss_text: 0.0807 loss_kernel: 0.0483 loss_embedding: 0.0172 loss: 0.1462 2022/08/26 16:25:11 - mmengine - INFO - Epoch(train) [151][45/63] lr: 7.7150e-04 eta: 4:21:09 time: 0.5476 data_time: 0.0230 memory: 12277 loss_text: 0.0776 loss_kernel: 0.0450 loss_embedding: 0.0198 loss: 0.1425 2022/08/26 16:25:14 - mmengine - INFO - Epoch(train) [151][50/63] lr: 7.7150e-04 eta: 4:21:04 time: 0.5910 data_time: 0.0281 memory: 12277 loss_text: 0.0625 loss_kernel: 0.0386 loss_embedding: 0.0200 loss: 0.1211 2022/08/26 16:25:17 - mmengine - INFO - Epoch(train) [151][55/63] lr: 7.7150e-04 eta: 4:21:04 time: 0.6151 data_time: 0.0420 memory: 12277 loss_text: 0.0710 loss_kernel: 0.0431 loss_embedding: 0.0223 loss: 0.1363 2022/08/26 16:25:20 - mmengine - INFO - Epoch(train) [151][60/63] lr: 7.7150e-04 eta: 4:21:00 time: 0.5877 data_time: 0.0366 memory: 12277 loss_text: 0.0770 loss_kernel: 0.0447 loss_embedding: 0.0212 loss: 0.1429 2022/08/26 16:25:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:25:25 - mmengine - INFO - Epoch(train) [152][5/63] lr: 7.6996e-04 eta: 4:21:00 time: 0.6982 data_time: 0.1796 memory: 12277 loss_text: 0.0707 loss_kernel: 0.0406 loss_embedding: 0.0207 loss: 0.1320 2022/08/26 16:25:28 - mmengine - INFO - Epoch(train) [152][10/63] lr: 7.6996e-04 eta: 4:20:53 time: 0.7279 data_time: 0.1879 memory: 12277 loss_text: 0.0736 loss_kernel: 0.0430 loss_embedding: 0.0215 loss: 0.1381 2022/08/26 16:25:31 - mmengine - INFO - Epoch(train) [152][15/63] lr: 7.6996e-04 eta: 4:20:53 time: 0.5589 data_time: 0.0317 memory: 12277 loss_text: 0.0689 loss_kernel: 0.0423 loss_embedding: 0.0197 loss: 0.1308 2022/08/26 16:25:34 - mmengine - INFO - Epoch(train) [152][20/63] lr: 7.6996e-04 eta: 4:20:48 time: 0.5848 data_time: 0.0282 memory: 12277 loss_text: 0.0663 loss_kernel: 0.0417 loss_embedding: 0.0160 loss: 0.1240 2022/08/26 16:25:37 - mmengine - INFO - Epoch(train) [152][25/63] lr: 7.6996e-04 eta: 4:20:48 time: 0.5705 data_time: 0.0260 memory: 12277 loss_text: 0.0675 loss_kernel: 0.0416 loss_embedding: 0.0170 loss: 0.1262 2022/08/26 16:25:40 - mmengine - INFO - Epoch(train) [152][30/63] lr: 7.6996e-04 eta: 4:20:43 time: 0.5624 data_time: 0.0278 memory: 12277 loss_text: 0.0639 loss_kernel: 0.0398 loss_embedding: 0.0200 loss: 0.1237 2022/08/26 16:25:43 - mmengine - INFO - Epoch(train) [152][35/63] lr: 7.6996e-04 eta: 4:20:43 time: 0.5718 data_time: 0.0283 memory: 12277 loss_text: 0.0675 loss_kernel: 0.0394 loss_embedding: 0.0174 loss: 0.1242 2022/08/26 16:25:45 - mmengine - INFO - Epoch(train) [152][40/63] lr: 7.6996e-04 eta: 4:20:38 time: 0.5621 data_time: 0.0307 memory: 12277 loss_text: 0.0735 loss_kernel: 0.0413 loss_embedding: 0.0166 loss: 0.1314 2022/08/26 16:25:48 - mmengine - INFO - Epoch(train) [152][45/63] lr: 7.6996e-04 eta: 4:20:38 time: 0.5511 data_time: 0.0317 memory: 12277 loss_text: 0.0680 loss_kernel: 0.0409 loss_embedding: 0.0178 loss: 0.1267 2022/08/26 16:25:51 - mmengine - INFO - Epoch(train) [152][50/63] lr: 7.6996e-04 eta: 4:20:32 time: 0.5384 data_time: 0.0289 memory: 12277 loss_text: 0.0654 loss_kernel: 0.0395 loss_embedding: 0.0169 loss: 0.1217 2022/08/26 16:25:53 - mmengine - INFO - Epoch(train) [152][55/63] lr: 7.6996e-04 eta: 4:20:32 time: 0.5364 data_time: 0.0282 memory: 12277 loss_text: 0.0714 loss_kernel: 0.0399 loss_embedding: 0.0187 loss: 0.1300 2022/08/26 16:25:56 - mmengine - INFO - Epoch(train) [152][60/63] lr: 7.6996e-04 eta: 4:20:27 time: 0.5663 data_time: 0.0260 memory: 12277 loss_text: 0.0742 loss_kernel: 0.0414 loss_embedding: 0.0170 loss: 0.1325 2022/08/26 16:25:58 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:26:03 - mmengine - INFO - Epoch(train) [153][5/63] lr: 7.6841e-04 eta: 4:20:27 time: 0.7150 data_time: 0.2190 memory: 12277 loss_text: 0.0775 loss_kernel: 0.0454 loss_embedding: 0.0175 loss: 0.1404 2022/08/26 16:26:05 - mmengine - INFO - Epoch(train) [153][10/63] lr: 7.6841e-04 eta: 4:20:20 time: 0.7591 data_time: 0.2242 memory: 12277 loss_text: 0.0771 loss_kernel: 0.0478 loss_embedding: 0.0173 loss: 0.1421 2022/08/26 16:26:08 - mmengine - INFO - Epoch(train) [153][15/63] lr: 7.6841e-04 eta: 4:20:20 time: 0.5393 data_time: 0.0289 memory: 12277 loss_text: 0.0703 loss_kernel: 0.0434 loss_embedding: 0.0159 loss: 0.1296 2022/08/26 16:26:11 - mmengine - INFO - Epoch(train) [153][20/63] lr: 7.6841e-04 eta: 4:20:14 time: 0.5291 data_time: 0.0237 memory: 12277 loss_text: 0.0730 loss_kernel: 0.0412 loss_embedding: 0.0178 loss: 0.1321 2022/08/26 16:26:13 - mmengine - INFO - Epoch(train) [153][25/63] lr: 7.6841e-04 eta: 4:20:14 time: 0.5437 data_time: 0.0247 memory: 12277 loss_text: 0.0682 loss_kernel: 0.0392 loss_embedding: 0.0185 loss: 0.1259 2022/08/26 16:26:16 - mmengine - INFO - Epoch(train) [153][30/63] lr: 7.6841e-04 eta: 4:20:09 time: 0.5706 data_time: 0.0306 memory: 12277 loss_text: 0.0729 loss_kernel: 0.0424 loss_embedding: 0.0177 loss: 0.1329 2022/08/26 16:26:19 - mmengine - INFO - Epoch(train) [153][35/63] lr: 7.6841e-04 eta: 4:20:09 time: 0.5981 data_time: 0.0284 memory: 12277 loss_text: 0.0731 loss_kernel: 0.0423 loss_embedding: 0.0188 loss: 0.1342 2022/08/26 16:26:22 - mmengine - INFO - Epoch(train) [153][40/63] lr: 7.6841e-04 eta: 4:20:05 time: 0.5984 data_time: 0.0248 memory: 12277 loss_text: 0.0705 loss_kernel: 0.0413 loss_embedding: 0.0164 loss: 0.1282 2022/08/26 16:26:25 - mmengine - INFO - Epoch(train) [153][45/63] lr: 7.6841e-04 eta: 4:20:05 time: 0.5623 data_time: 0.0251 memory: 12277 loss_text: 0.0729 loss_kernel: 0.0420 loss_embedding: 0.0154 loss: 0.1302 2022/08/26 16:26:28 - mmengine - INFO - Epoch(train) [153][50/63] lr: 7.6841e-04 eta: 4:19:59 time: 0.5536 data_time: 0.0284 memory: 12277 loss_text: 0.0723 loss_kernel: 0.0427 loss_embedding: 0.0176 loss: 0.1327 2022/08/26 16:26:31 - mmengine - INFO - Epoch(train) [153][55/63] lr: 7.6841e-04 eta: 4:19:59 time: 0.5701 data_time: 0.0276 memory: 12277 loss_text: 0.0695 loss_kernel: 0.0430 loss_embedding: 0.0174 loss: 0.1300 2022/08/26 16:26:33 - mmengine - INFO - Epoch(train) [153][60/63] lr: 7.6841e-04 eta: 4:19:53 time: 0.5359 data_time: 0.0203 memory: 12277 loss_text: 0.0615 loss_kernel: 0.0382 loss_embedding: 0.0155 loss: 0.1152 2022/08/26 16:26:35 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:26:39 - mmengine - INFO - Epoch(train) [154][5/63] lr: 7.6686e-04 eta: 4:19:53 time: 0.6977 data_time: 0.1689 memory: 12277 loss_text: 0.0669 loss_kernel: 0.0389 loss_embedding: 0.0171 loss: 0.1229 2022/08/26 16:26:42 - mmengine - INFO - Epoch(train) [154][10/63] lr: 7.6686e-04 eta: 4:19:45 time: 0.6768 data_time: 0.1672 memory: 12277 loss_text: 0.0657 loss_kernel: 0.0399 loss_embedding: 0.0178 loss: 0.1233 2022/08/26 16:26:45 - mmengine - INFO - Epoch(train) [154][15/63] lr: 7.6686e-04 eta: 4:19:45 time: 0.5368 data_time: 0.0268 memory: 12277 loss_text: 0.0588 loss_kernel: 0.0386 loss_embedding: 0.0188 loss: 0.1162 2022/08/26 16:26:47 - mmengine - INFO - Epoch(train) [154][20/63] lr: 7.6686e-04 eta: 4:19:39 time: 0.5484 data_time: 0.0227 memory: 12277 loss_text: 0.0628 loss_kernel: 0.0381 loss_embedding: 0.0180 loss: 0.1189 2022/08/26 16:26:50 - mmengine - INFO - Epoch(train) [154][25/63] lr: 7.6686e-04 eta: 4:19:39 time: 0.5484 data_time: 0.0256 memory: 12277 loss_text: 0.0621 loss_kernel: 0.0372 loss_embedding: 0.0152 loss: 0.1145 2022/08/26 16:26:53 - mmengine - INFO - Epoch(train) [154][30/63] lr: 7.6686e-04 eta: 4:19:33 time: 0.5341 data_time: 0.0286 memory: 12277 loss_text: 0.0678 loss_kernel: 0.0380 loss_embedding: 0.0162 loss: 0.1220 2022/08/26 16:26:56 - mmengine - INFO - Epoch(train) [154][35/63] lr: 7.6686e-04 eta: 4:19:33 time: 0.5901 data_time: 0.0276 memory: 12277 loss_text: 0.0732 loss_kernel: 0.0399 loss_embedding: 0.0172 loss: 0.1302 2022/08/26 16:26:59 - mmengine - INFO - Epoch(train) [154][40/63] lr: 7.6686e-04 eta: 4:19:29 time: 0.5918 data_time: 0.0232 memory: 12277 loss_text: 0.0725 loss_kernel: 0.0430 loss_embedding: 0.0154 loss: 0.1310 2022/08/26 16:27:01 - mmengine - INFO - Epoch(train) [154][45/63] lr: 7.6686e-04 eta: 4:19:29 time: 0.5433 data_time: 0.0228 memory: 12277 loss_text: 0.0836 loss_kernel: 0.0487 loss_embedding: 0.0164 loss: 0.1486 2022/08/26 16:27:04 - mmengine - INFO - Epoch(train) [154][50/63] lr: 7.6686e-04 eta: 4:19:24 time: 0.5727 data_time: 0.0257 memory: 12277 loss_text: 0.0941 loss_kernel: 0.0487 loss_embedding: 0.0182 loss: 0.1611 2022/08/26 16:27:08 - mmengine - INFO - Epoch(train) [154][55/63] lr: 7.6686e-04 eta: 4:19:24 time: 0.6145 data_time: 0.0310 memory: 12277 loss_text: 0.0921 loss_kernel: 0.0480 loss_embedding: 0.0181 loss: 0.1582 2022/08/26 16:27:10 - mmengine - INFO - Epoch(train) [154][60/63] lr: 7.6686e-04 eta: 4:19:19 time: 0.5721 data_time: 0.0281 memory: 12277 loss_text: 0.0820 loss_kernel: 0.0472 loss_embedding: 0.0172 loss: 0.1464 2022/08/26 16:27:12 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:27:16 - mmengine - INFO - Epoch(train) [155][5/63] lr: 7.6531e-04 eta: 4:19:19 time: 0.6609 data_time: 0.1608 memory: 12277 loss_text: 0.0788 loss_kernel: 0.0448 loss_embedding: 0.0172 loss: 0.1407 2022/08/26 16:27:19 - mmengine - INFO - Epoch(train) [155][10/63] lr: 7.6531e-04 eta: 4:19:11 time: 0.6995 data_time: 0.1700 memory: 12277 loss_text: 0.0704 loss_kernel: 0.0380 loss_embedding: 0.0175 loss: 0.1260 2022/08/26 16:27:21 - mmengine - INFO - Epoch(train) [155][15/63] lr: 7.6531e-04 eta: 4:19:11 time: 0.5640 data_time: 0.0310 memory: 12277 loss_text: 0.0676 loss_kernel: 0.0387 loss_embedding: 0.0184 loss: 0.1247 2022/08/26 16:27:24 - mmengine - INFO - Epoch(train) [155][20/63] lr: 7.6531e-04 eta: 4:19:06 time: 0.5910 data_time: 0.0221 memory: 12277 loss_text: 0.0633 loss_kernel: 0.0389 loss_embedding: 0.0192 loss: 0.1214 2022/08/26 16:27:27 - mmengine - INFO - Epoch(train) [155][25/63] lr: 7.6531e-04 eta: 4:19:06 time: 0.5745 data_time: 0.0249 memory: 12277 loss_text: 0.0752 loss_kernel: 0.0406 loss_embedding: 0.0191 loss: 0.1349 2022/08/26 16:27:30 - mmengine - INFO - Epoch(train) [155][30/63] lr: 7.6531e-04 eta: 4:19:01 time: 0.5655 data_time: 0.0519 memory: 12277 loss_text: 0.0852 loss_kernel: 0.0418 loss_embedding: 0.0187 loss: 0.1457 2022/08/26 16:27:33 - mmengine - INFO - Epoch(train) [155][35/63] lr: 7.6531e-04 eta: 4:19:01 time: 0.5640 data_time: 0.0498 memory: 12277 loss_text: 0.0870 loss_kernel: 0.0432 loss_embedding: 0.0181 loss: 0.1484 2022/08/26 16:27:36 - mmengine - INFO - Epoch(train) [155][40/63] lr: 7.6531e-04 eta: 4:18:57 time: 0.5938 data_time: 0.0268 memory: 12277 loss_text: 0.0854 loss_kernel: 0.0418 loss_embedding: 0.0168 loss: 0.1440 2022/08/26 16:27:39 - mmengine - INFO - Epoch(train) [155][45/63] lr: 7.6531e-04 eta: 4:18:57 time: 0.6085 data_time: 0.0256 memory: 12277 loss_text: 0.0787 loss_kernel: 0.0401 loss_embedding: 0.0174 loss: 0.1362 2022/08/26 16:27:42 - mmengine - INFO - Epoch(train) [155][50/63] lr: 7.6531e-04 eta: 4:18:51 time: 0.5548 data_time: 0.0278 memory: 12277 loss_text: 0.0738 loss_kernel: 0.0404 loss_embedding: 0.0173 loss: 0.1315 2022/08/26 16:27:45 - mmengine - INFO - Epoch(train) [155][55/63] lr: 7.6531e-04 eta: 4:18:51 time: 0.5749 data_time: 0.0273 memory: 12277 loss_text: 0.0771 loss_kernel: 0.0423 loss_embedding: 0.0199 loss: 0.1393 2022/08/26 16:27:47 - mmengine - INFO - Epoch(train) [155][60/63] lr: 7.6531e-04 eta: 4:18:46 time: 0.5661 data_time: 0.0226 memory: 12277 loss_text: 0.0772 loss_kernel: 0.0431 loss_embedding: 0.0188 loss: 0.1391 2022/08/26 16:27:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:27:53 - mmengine - INFO - Epoch(train) [156][5/63] lr: 7.6377e-04 eta: 4:18:46 time: 0.6569 data_time: 0.1773 memory: 12277 loss_text: 0.0739 loss_kernel: 0.0426 loss_embedding: 0.0166 loss: 0.1332 2022/08/26 16:27:56 - mmengine - INFO - Epoch(train) [156][10/63] lr: 7.6377e-04 eta: 4:18:39 time: 0.7051 data_time: 0.1844 memory: 12277 loss_text: 0.0669 loss_kernel: 0.0408 loss_embedding: 0.0172 loss: 0.1249 2022/08/26 16:27:58 - mmengine - INFO - Epoch(train) [156][15/63] lr: 7.6377e-04 eta: 4:18:39 time: 0.5357 data_time: 0.0296 memory: 12277 loss_text: 0.0670 loss_kernel: 0.0390 loss_embedding: 0.0174 loss: 0.1234 2022/08/26 16:28:01 - mmengine - INFO - Epoch(train) [156][20/63] lr: 7.6377e-04 eta: 4:18:32 time: 0.5337 data_time: 0.0233 memory: 12277 loss_text: 0.0726 loss_kernel: 0.0424 loss_embedding: 0.0190 loss: 0.1340 2022/08/26 16:28:04 - mmengine - INFO - Epoch(train) [156][25/63] lr: 7.6377e-04 eta: 4:18:32 time: 0.5356 data_time: 0.0225 memory: 12277 loss_text: 0.0791 loss_kernel: 0.0440 loss_embedding: 0.0189 loss: 0.1420 2022/08/26 16:28:06 - mmengine - INFO - Epoch(train) [156][30/63] lr: 7.6377e-04 eta: 4:18:26 time: 0.5359 data_time: 0.0263 memory: 12277 loss_text: 0.0894 loss_kernel: 0.0441 loss_embedding: 0.0155 loss: 0.1490 2022/08/26 16:28:09 - mmengine - INFO - Epoch(train) [156][35/63] lr: 7.6377e-04 eta: 4:18:26 time: 0.5420 data_time: 0.0275 memory: 12277 loss_text: 0.0880 loss_kernel: 0.0474 loss_embedding: 0.0140 loss: 0.1495 2022/08/26 16:28:12 - mmengine - INFO - Epoch(train) [156][40/63] lr: 7.6377e-04 eta: 4:18:20 time: 0.5223 data_time: 0.0229 memory: 12277 loss_text: 0.0751 loss_kernel: 0.0444 loss_embedding: 0.0161 loss: 0.1356 2022/08/26 16:28:14 - mmengine - INFO - Epoch(train) [156][45/63] lr: 7.6377e-04 eta: 4:18:20 time: 0.5260 data_time: 0.0212 memory: 12277 loss_text: 0.0664 loss_kernel: 0.0387 loss_embedding: 0.0164 loss: 0.1215 2022/08/26 16:28:17 - mmengine - INFO - Epoch(train) [156][50/63] lr: 7.6377e-04 eta: 4:18:14 time: 0.5258 data_time: 0.0244 memory: 12277 loss_text: 0.0807 loss_kernel: 0.0450 loss_embedding: 0.0161 loss: 0.1419 2022/08/26 16:28:19 - mmengine - INFO - Epoch(train) [156][55/63] lr: 7.6377e-04 eta: 4:18:14 time: 0.5028 data_time: 0.0238 memory: 12277 loss_text: 0.0894 loss_kernel: 0.0487 loss_embedding: 0.0162 loss: 0.1542 2022/08/26 16:28:22 - mmengine - INFO - Epoch(train) [156][60/63] lr: 7.6377e-04 eta: 4:18:07 time: 0.5301 data_time: 0.0286 memory: 12277 loss_text: 0.0725 loss_kernel: 0.0423 loss_embedding: 0.0183 loss: 0.1332 2022/08/26 16:28:24 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:28:28 - mmengine - INFO - Epoch(train) [157][5/63] lr: 7.6222e-04 eta: 4:18:07 time: 0.6598 data_time: 0.1613 memory: 12277 loss_text: 0.0820 loss_kernel: 0.0494 loss_embedding: 0.0182 loss: 0.1496 2022/08/26 16:28:30 - mmengine - INFO - Epoch(train) [157][10/63] lr: 7.6222e-04 eta: 4:17:59 time: 0.6737 data_time: 0.1688 memory: 12277 loss_text: 0.0806 loss_kernel: 0.0460 loss_embedding: 0.0172 loss: 0.1438 2022/08/26 16:28:33 - mmengine - INFO - Epoch(train) [157][15/63] lr: 7.6222e-04 eta: 4:17:59 time: 0.5055 data_time: 0.0277 memory: 12277 loss_text: 0.0609 loss_kernel: 0.0391 loss_embedding: 0.0152 loss: 0.1152 2022/08/26 16:28:35 - mmengine - INFO - Epoch(train) [157][20/63] lr: 7.6222e-04 eta: 4:17:52 time: 0.5158 data_time: 0.0233 memory: 12277 loss_text: 0.0672 loss_kernel: 0.0416 loss_embedding: 0.0161 loss: 0.1249 2022/08/26 16:28:38 - mmengine - INFO - Epoch(train) [157][25/63] lr: 7.6222e-04 eta: 4:17:52 time: 0.5438 data_time: 0.0340 memory: 12277 loss_text: 0.0717 loss_kernel: 0.0389 loss_embedding: 0.0160 loss: 0.1266 2022/08/26 16:28:41 - mmengine - INFO - Epoch(train) [157][30/63] lr: 7.6222e-04 eta: 4:17:46 time: 0.5233 data_time: 0.0372 memory: 12277 loss_text: 0.0744 loss_kernel: 0.0390 loss_embedding: 0.0168 loss: 0.1301 2022/08/26 16:28:44 - mmengine - INFO - Epoch(train) [157][35/63] lr: 7.6222e-04 eta: 4:17:46 time: 0.5313 data_time: 0.0360 memory: 12277 loss_text: 0.0778 loss_kernel: 0.0413 loss_embedding: 0.0192 loss: 0.1383 2022/08/26 16:28:46 - mmengine - INFO - Epoch(train) [157][40/63] lr: 7.6222e-04 eta: 4:17:41 time: 0.5786 data_time: 0.0397 memory: 12277 loss_text: 0.0852 loss_kernel: 0.0432 loss_embedding: 0.0195 loss: 0.1479 2022/08/26 16:28:49 - mmengine - INFO - Epoch(train) [157][45/63] lr: 7.6222e-04 eta: 4:17:41 time: 0.5699 data_time: 0.0334 memory: 12277 loss_text: 0.0779 loss_kernel: 0.0405 loss_embedding: 0.0177 loss: 0.1361 2022/08/26 16:28:52 - mmengine - INFO - Epoch(train) [157][50/63] lr: 7.6222e-04 eta: 4:17:36 time: 0.5621 data_time: 0.0346 memory: 12277 loss_text: 0.0672 loss_kernel: 0.0384 loss_embedding: 0.0178 loss: 0.1234 2022/08/26 16:28:55 - mmengine - INFO - Epoch(train) [157][55/63] lr: 7.6222e-04 eta: 4:17:36 time: 0.5678 data_time: 0.0317 memory: 12277 loss_text: 0.0707 loss_kernel: 0.0411 loss_embedding: 0.0199 loss: 0.1317 2022/08/26 16:28:57 - mmengine - INFO - Epoch(train) [157][60/63] lr: 7.6222e-04 eta: 4:17:30 time: 0.5345 data_time: 0.0218 memory: 12277 loss_text: 0.0755 loss_kernel: 0.0435 loss_embedding: 0.0176 loss: 0.1366 2022/08/26 16:28:59 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:29:03 - mmengine - INFO - Epoch(train) [158][5/63] lr: 7.6067e-04 eta: 4:17:30 time: 0.6549 data_time: 0.1758 memory: 12277 loss_text: 0.0732 loss_kernel: 0.0418 loss_embedding: 0.0174 loss: 0.1324 2022/08/26 16:29:06 - mmengine - INFO - Epoch(train) [158][10/63] lr: 7.6067e-04 eta: 4:17:22 time: 0.6966 data_time: 0.1839 memory: 12277 loss_text: 0.0611 loss_kernel: 0.0376 loss_embedding: 0.0170 loss: 0.1156 2022/08/26 16:29:08 - mmengine - INFO - Epoch(train) [158][15/63] lr: 7.6067e-04 eta: 4:17:22 time: 0.5289 data_time: 0.0274 memory: 12277 loss_text: 0.0766 loss_kernel: 0.0442 loss_embedding: 0.0173 loss: 0.1381 2022/08/26 16:29:11 - mmengine - INFO - Epoch(train) [158][20/63] lr: 7.6067e-04 eta: 4:17:15 time: 0.5198 data_time: 0.0222 memory: 12277 loss_text: 0.0800 loss_kernel: 0.0443 loss_embedding: 0.0197 loss: 0.1440 2022/08/26 16:29:13 - mmengine - INFO - Epoch(train) [158][25/63] lr: 7.6067e-04 eta: 4:17:15 time: 0.5175 data_time: 0.0216 memory: 12277 loss_text: 0.0777 loss_kernel: 0.0432 loss_embedding: 0.0177 loss: 0.1386 2022/08/26 16:29:16 - mmengine - INFO - Epoch(train) [158][30/63] lr: 7.6067e-04 eta: 4:17:09 time: 0.5060 data_time: 0.0255 memory: 12277 loss_text: 0.0812 loss_kernel: 0.0437 loss_embedding: 0.0169 loss: 0.1419 2022/08/26 16:29:19 - mmengine - INFO - Epoch(train) [158][35/63] lr: 7.6067e-04 eta: 4:17:09 time: 0.5272 data_time: 0.0260 memory: 12277 loss_text: 0.0696 loss_kernel: 0.0384 loss_embedding: 0.0169 loss: 0.1250 2022/08/26 16:29:21 - mmengine - INFO - Epoch(train) [158][40/63] lr: 7.6067e-04 eta: 4:17:03 time: 0.5447 data_time: 0.0221 memory: 12277 loss_text: 0.0728 loss_kernel: 0.0403 loss_embedding: 0.0160 loss: 0.1291 2022/08/26 16:29:25 - mmengine - INFO - Epoch(train) [158][45/63] lr: 7.6067e-04 eta: 4:17:03 time: 0.6456 data_time: 0.0225 memory: 12277 loss_text: 0.0712 loss_kernel: 0.0404 loss_embedding: 0.0164 loss: 0.1281 2022/08/26 16:29:28 - mmengine - INFO - Epoch(train) [158][50/63] lr: 7.6067e-04 eta: 4:17:00 time: 0.6418 data_time: 0.0315 memory: 12277 loss_text: 0.0684 loss_kernel: 0.0390 loss_embedding: 0.0151 loss: 0.1225 2022/08/26 16:29:30 - mmengine - INFO - Epoch(train) [158][55/63] lr: 7.6067e-04 eta: 4:17:00 time: 0.5279 data_time: 0.0313 memory: 12277 loss_text: 0.0732 loss_kernel: 0.0416 loss_embedding: 0.0162 loss: 0.1310 2022/08/26 16:29:33 - mmengine - INFO - Epoch(train) [158][60/63] lr: 7.6067e-04 eta: 4:16:54 time: 0.5383 data_time: 0.0221 memory: 12277 loss_text: 0.0683 loss_kernel: 0.0408 loss_embedding: 0.0160 loss: 0.1251 2022/08/26 16:29:35 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:29:39 - mmengine - INFO - Epoch(train) [159][5/63] lr: 7.5912e-04 eta: 4:16:54 time: 0.6298 data_time: 0.1496 memory: 12277 loss_text: 0.0602 loss_kernel: 0.0376 loss_embedding: 0.0193 loss: 0.1171 2022/08/26 16:29:41 - mmengine - INFO - Epoch(train) [159][10/63] lr: 7.5912e-04 eta: 4:16:44 time: 0.6432 data_time: 0.1525 memory: 12277 loss_text: 0.0679 loss_kernel: 0.0416 loss_embedding: 0.0186 loss: 0.1282 2022/08/26 16:29:44 - mmengine - INFO - Epoch(train) [159][15/63] lr: 7.5912e-04 eta: 4:16:44 time: 0.5223 data_time: 0.0283 memory: 12277 loss_text: 0.0753 loss_kernel: 0.0438 loss_embedding: 0.0179 loss: 0.1370 2022/08/26 16:29:47 - mmengine - INFO - Epoch(train) [159][20/63] lr: 7.5912e-04 eta: 4:16:39 time: 0.5560 data_time: 0.0285 memory: 12277 loss_text: 0.0735 loss_kernel: 0.0418 loss_embedding: 0.0179 loss: 0.1332 2022/08/26 16:29:49 - mmengine - INFO - Epoch(train) [159][25/63] lr: 7.5912e-04 eta: 4:16:39 time: 0.5567 data_time: 0.0275 memory: 12277 loss_text: 0.0691 loss_kernel: 0.0404 loss_embedding: 0.0162 loss: 0.1257 2022/08/26 16:29:52 - mmengine - INFO - Epoch(train) [159][30/63] lr: 7.5912e-04 eta: 4:16:33 time: 0.5295 data_time: 0.0303 memory: 12277 loss_text: 0.0640 loss_kernel: 0.0374 loss_embedding: 0.0157 loss: 0.1172 2022/08/26 16:29:55 - mmengine - INFO - Epoch(train) [159][35/63] lr: 7.5912e-04 eta: 4:16:33 time: 0.5398 data_time: 0.0295 memory: 12277 loss_text: 0.0671 loss_kernel: 0.0391 loss_embedding: 0.0176 loss: 0.1237 2022/08/26 16:29:57 - mmengine - INFO - Epoch(train) [159][40/63] lr: 7.5912e-04 eta: 4:16:27 time: 0.5428 data_time: 0.0310 memory: 12277 loss_text: 0.0739 loss_kernel: 0.0410 loss_embedding: 0.0165 loss: 0.1314 2022/08/26 16:30:00 - mmengine - INFO - Epoch(train) [159][45/63] lr: 7.5912e-04 eta: 4:16:27 time: 0.5329 data_time: 0.0288 memory: 12277 loss_text: 0.0716 loss_kernel: 0.0389 loss_embedding: 0.0140 loss: 0.1244 2022/08/26 16:30:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:30:03 - mmengine - INFO - Epoch(train) [159][50/63] lr: 7.5912e-04 eta: 4:16:21 time: 0.5570 data_time: 0.0286 memory: 12277 loss_text: 0.0708 loss_kernel: 0.0426 loss_embedding: 0.0180 loss: 0.1315 2022/08/26 16:30:06 - mmengine - INFO - Epoch(train) [159][55/63] lr: 7.5912e-04 eta: 4:16:21 time: 0.6110 data_time: 0.0305 memory: 12277 loss_text: 0.0773 loss_kernel: 0.0479 loss_embedding: 0.0202 loss: 0.1454 2022/08/26 16:30:09 - mmengine - INFO - Epoch(train) [159][60/63] lr: 7.5912e-04 eta: 4:16:17 time: 0.5768 data_time: 0.0266 memory: 12277 loss_text: 0.0712 loss_kernel: 0.0433 loss_embedding: 0.0194 loss: 0.1339 2022/08/26 16:30:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:30:14 - mmengine - INFO - Epoch(train) [160][5/63] lr: 7.5757e-04 eta: 4:16:17 time: 0.6018 data_time: 0.1288 memory: 12277 loss_text: 0.0614 loss_kernel: 0.0375 loss_embedding: 0.0191 loss: 0.1180 2022/08/26 16:30:17 - mmengine - INFO - Epoch(train) [160][10/63] lr: 7.5757e-04 eta: 4:16:08 time: 0.6638 data_time: 0.1410 memory: 12277 loss_text: 0.0604 loss_kernel: 0.0366 loss_embedding: 0.0186 loss: 0.1156 2022/08/26 16:30:20 - mmengine - INFO - Epoch(train) [160][15/63] lr: 7.5757e-04 eta: 4:16:08 time: 0.5759 data_time: 0.0335 memory: 12277 loss_text: 0.0736 loss_kernel: 0.0433 loss_embedding: 0.0210 loss: 0.1379 2022/08/26 16:30:22 - mmengine - INFO - Epoch(train) [160][20/63] lr: 7.5757e-04 eta: 4:16:02 time: 0.5340 data_time: 0.0260 memory: 12277 loss_text: 0.0770 loss_kernel: 0.0441 loss_embedding: 0.0205 loss: 0.1416 2022/08/26 16:30:25 - mmengine - INFO - Epoch(train) [160][25/63] lr: 7.5757e-04 eta: 4:16:02 time: 0.5475 data_time: 0.0278 memory: 12277 loss_text: 0.0639 loss_kernel: 0.0386 loss_embedding: 0.0191 loss: 0.1216 2022/08/26 16:30:28 - mmengine - INFO - Epoch(train) [160][30/63] lr: 7.5757e-04 eta: 4:15:56 time: 0.5537 data_time: 0.0475 memory: 12277 loss_text: 0.0588 loss_kernel: 0.0383 loss_embedding: 0.0181 loss: 0.1151 2022/08/26 16:30:30 - mmengine - INFO - Epoch(train) [160][35/63] lr: 7.5757e-04 eta: 4:15:56 time: 0.5331 data_time: 0.0538 memory: 12277 loss_text: 0.0658 loss_kernel: 0.0401 loss_embedding: 0.0169 loss: 0.1229 2022/08/26 16:30:33 - mmengine - INFO - Epoch(train) [160][40/63] lr: 7.5757e-04 eta: 4:15:50 time: 0.5286 data_time: 0.0366 memory: 12277 loss_text: 0.0673 loss_kernel: 0.0405 loss_embedding: 0.0192 loss: 0.1269 2022/08/26 16:30:36 - mmengine - INFO - Epoch(train) [160][45/63] lr: 7.5757e-04 eta: 4:15:50 time: 0.5535 data_time: 0.0286 memory: 12277 loss_text: 0.0617 loss_kernel: 0.0392 loss_embedding: 0.0187 loss: 0.1196 2022/08/26 16:30:39 - mmengine - INFO - Epoch(train) [160][50/63] lr: 7.5757e-04 eta: 4:15:45 time: 0.5676 data_time: 0.0294 memory: 12277 loss_text: 0.0714 loss_kernel: 0.0409 loss_embedding: 0.0175 loss: 0.1297 2022/08/26 16:30:41 - mmengine - INFO - Epoch(train) [160][55/63] lr: 7.5757e-04 eta: 4:15:45 time: 0.5383 data_time: 0.0280 memory: 12277 loss_text: 0.0780 loss_kernel: 0.0435 loss_embedding: 0.0193 loss: 0.1407 2022/08/26 16:30:44 - mmengine - INFO - Epoch(train) [160][60/63] lr: 7.5757e-04 eta: 4:15:38 time: 0.5193 data_time: 0.0228 memory: 12277 loss_text: 0.0727 loss_kernel: 0.0444 loss_embedding: 0.0179 loss: 0.1350 2022/08/26 16:30:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:30:46 - mmengine - INFO - Saving checkpoint at 160 epochs 2022/08/26 16:30:49 - mmengine - INFO - Epoch(val) [160][5/500] eta: 4:15:38 time: 0.0447 data_time: 0.0163 memory: 12277 2022/08/26 16:30:49 - mmengine - INFO - Epoch(val) [160][10/500] eta: 0:00:24 time: 0.0505 data_time: 0.0160 memory: 497 2022/08/26 16:30:49 - mmengine - INFO - Epoch(val) [160][15/500] eta: 0:00:24 time: 0.0298 data_time: 0.0018 memory: 539 2022/08/26 16:30:49 - mmengine - INFO - Epoch(val) [160][20/500] eta: 0:00:13 time: 0.0284 data_time: 0.0024 memory: 497 2022/08/26 16:30:49 - mmengine - INFO - Epoch(val) [160][25/500] eta: 0:00:13 time: 0.0241 data_time: 0.0021 memory: 505 2022/08/26 16:30:50 - mmengine - INFO - Epoch(val) [160][30/500] eta: 0:00:09 time: 0.0200 data_time: 0.0017 memory: 516 2022/08/26 16:30:50 - mmengine - INFO - Epoch(val) [160][35/500] eta: 0:00:09 time: 0.0217 data_time: 0.0015 memory: 497 2022/08/26 16:30:50 - mmengine - INFO - Epoch(val) [160][40/500] eta: 0:00:11 time: 0.0246 data_time: 0.0043 memory: 497 2022/08/26 16:30:50 - mmengine - INFO - Epoch(val) [160][45/500] eta: 0:00:11 time: 0.0207 data_time: 0.0041 memory: 480 2022/08/26 16:30:50 - mmengine - INFO - Epoch(val) [160][50/500] eta: 0:00:08 time: 0.0186 data_time: 0.0013 memory: 539 2022/08/26 16:30:50 - mmengine - INFO - Epoch(val) [160][55/500] eta: 0:00:08 time: 0.0210 data_time: 0.0014 memory: 561 2022/08/26 16:30:50 - mmengine - INFO - Epoch(val) [160][60/500] eta: 0:00:11 time: 0.0260 data_time: 0.0057 memory: 497 2022/08/26 16:30:50 - mmengine - INFO - Epoch(val) [160][65/500] eta: 0:00:11 time: 0.0269 data_time: 0.0059 memory: 597 2022/08/26 16:30:50 - mmengine - INFO - Epoch(val) [160][70/500] eta: 0:00:08 time: 0.0203 data_time: 0.0019 memory: 497 2022/08/26 16:30:51 - mmengine - INFO - Epoch(val) [160][75/500] eta: 0:00:08 time: 0.0225 data_time: 0.0019 memory: 556 2022/08/26 16:30:51 - mmengine - INFO - Epoch(val) [160][80/500] eta: 0:00:09 time: 0.0230 data_time: 0.0020 memory: 497 2022/08/26 16:30:51 - mmengine - INFO - Epoch(val) [160][85/500] eta: 0:00:09 time: 0.0228 data_time: 0.0022 memory: 564 2022/08/26 16:30:51 - mmengine - INFO - Epoch(val) [160][90/500] eta: 0:00:09 time: 0.0238 data_time: 0.0021 memory: 522 2022/08/26 16:30:51 - mmengine - INFO - Epoch(val) [160][95/500] eta: 0:00:09 time: 0.0241 data_time: 0.0020 memory: 756 2022/08/26 16:30:51 - mmengine - INFO - Epoch(val) [160][100/500] eta: 0:00:09 time: 0.0237 data_time: 0.0020 memory: 572 2022/08/26 16:30:51 - mmengine - INFO - Epoch(val) [160][105/500] eta: 0:00:09 time: 0.0220 data_time: 0.0019 memory: 539 2022/08/26 16:30:51 - mmengine - INFO - Epoch(val) [160][110/500] eta: 0:00:09 time: 0.0253 data_time: 0.0021 memory: 497 2022/08/26 16:30:51 - mmengine - INFO - Epoch(val) [160][115/500] eta: 0:00:09 time: 0.0231 data_time: 0.0021 memory: 497 2022/08/26 16:30:52 - mmengine - INFO - Epoch(val) [160][120/500] eta: 0:00:09 time: 0.0248 data_time: 0.0018 memory: 530 2022/08/26 16:30:52 - mmengine - INFO - Epoch(val) [160][125/500] eta: 0:00:09 time: 0.0288 data_time: 0.0019 memory: 497 2022/08/26 16:30:52 - mmengine - INFO - Epoch(val) [160][130/500] eta: 0:00:08 time: 0.0236 data_time: 0.0017 memory: 539 2022/08/26 16:30:52 - mmengine - INFO - Epoch(val) [160][135/500] eta: 0:00:08 time: 0.0208 data_time: 0.0018 memory: 497 2022/08/26 16:30:52 - mmengine - INFO - Epoch(val) [160][140/500] eta: 0:00:07 time: 0.0222 data_time: 0.0019 memory: 480 2022/08/26 16:30:52 - mmengine - INFO - Epoch(val) [160][145/500] eta: 0:00:07 time: 0.0296 data_time: 0.0063 memory: 751 2022/08/26 16:30:52 - mmengine - INFO - Epoch(val) [160][150/500] eta: 0:00:09 time: 0.0277 data_time: 0.0060 memory: 464 2022/08/26 16:30:53 - mmengine - INFO - Epoch(val) [160][155/500] eta: 0:00:09 time: 0.0440 data_time: 0.0016 memory: 516 2022/08/26 16:30:53 - mmengine - INFO - Epoch(val) [160][160/500] eta: 0:00:15 time: 0.0460 data_time: 0.0020 memory: 539 2022/08/26 16:30:53 - mmengine - INFO - Epoch(val) [160][165/500] eta: 0:00:15 time: 0.0232 data_time: 0.0020 memory: 497 2022/08/26 16:30:53 - mmengine - INFO - Epoch(val) [160][170/500] eta: 0:00:07 time: 0.0226 data_time: 0.0019 memory: 514 2022/08/26 16:30:53 - mmengine - INFO - Epoch(val) [160][175/500] eta: 0:00:07 time: 0.0199 data_time: 0.0019 memory: 539 2022/08/26 16:30:53 - mmengine - INFO - Epoch(val) [160][180/500] eta: 0:00:06 time: 0.0202 data_time: 0.0019 memory: 539 2022/08/26 16:30:53 - mmengine - INFO - Epoch(val) [160][185/500] eta: 0:00:06 time: 0.0257 data_time: 0.0018 memory: 489 2022/08/26 16:30:54 - mmengine - INFO - Epoch(val) [160][190/500] eta: 0:00:08 time: 0.0287 data_time: 0.0019 memory: 516 2022/08/26 16:30:54 - mmengine - INFO - Epoch(val) [160][195/500] eta: 0:00:08 time: 0.0247 data_time: 0.0023 memory: 516 2022/08/26 16:30:54 - mmengine - INFO - Epoch(val) [160][200/500] eta: 0:00:06 time: 0.0233 data_time: 0.0023 memory: 516 2022/08/26 16:30:54 - mmengine - INFO - Epoch(val) [160][205/500] eta: 0:00:06 time: 0.0255 data_time: 0.0020 memory: 664 2022/08/26 16:30:54 - mmengine - INFO - Epoch(val) [160][210/500] eta: 0:00:06 time: 0.0232 data_time: 0.0018 memory: 497 2022/08/26 16:30:54 - mmengine - INFO - Epoch(val) [160][215/500] eta: 0:00:06 time: 0.0216 data_time: 0.0020 memory: 514 2022/08/26 16:30:54 - mmengine - INFO - Epoch(val) [160][220/500] eta: 0:00:06 time: 0.0219 data_time: 0.0021 memory: 572 2022/08/26 16:30:54 - mmengine - INFO - Epoch(val) [160][225/500] eta: 0:00:06 time: 0.0205 data_time: 0.0019 memory: 497 2022/08/26 16:30:55 - mmengine - INFO - Epoch(val) [160][230/500] eta: 0:00:07 time: 0.0287 data_time: 0.0018 memory: 507 2022/08/26 16:30:55 - mmengine - INFO - Epoch(val) [160][235/500] eta: 0:00:07 time: 0.0307 data_time: 0.0019 memory: 497 2022/08/26 16:30:55 - mmengine - INFO - Epoch(val) [160][240/500] eta: 0:00:07 time: 0.0298 data_time: 0.0058 memory: 497 2022/08/26 16:30:55 - mmengine - INFO - Epoch(val) [160][245/500] eta: 0:00:07 time: 0.0298 data_time: 0.0054 memory: 648 2022/08/26 16:30:55 - mmengine - INFO - Epoch(val) [160][250/500] eta: 0:00:06 time: 0.0249 data_time: 0.0014 memory: 497 2022/08/26 16:30:55 - mmengine - INFO - Epoch(val) [160][255/500] eta: 0:00:06 time: 0.0458 data_time: 0.0023 memory: 543 2022/08/26 16:30:56 - mmengine - INFO - Epoch(val) [160][260/500] eta: 0:00:10 time: 0.0440 data_time: 0.0027 memory: 516 2022/08/26 16:30:56 - mmengine - INFO - Epoch(val) [160][265/500] eta: 0:00:10 time: 0.0234 data_time: 0.0022 memory: 622 2022/08/26 16:30:56 - mmengine - INFO - Epoch(val) [160][270/500] eta: 0:00:05 time: 0.0255 data_time: 0.0022 memory: 505 2022/08/26 16:30:56 - mmengine - INFO - Epoch(val) [160][275/500] eta: 0:00:05 time: 0.0284 data_time: 0.0023 memory: 539 2022/08/26 16:30:56 - mmengine - INFO - Epoch(val) [160][280/500] eta: 0:00:04 time: 0.0226 data_time: 0.0019 memory: 473 2022/08/26 16:30:56 - mmengine - INFO - Epoch(val) [160][285/500] eta: 0:00:04 time: 0.0174 data_time: 0.0018 memory: 481 2022/08/26 16:30:56 - mmengine - INFO - Epoch(val) [160][290/500] eta: 0:00:03 time: 0.0189 data_time: 0.0017 memory: 464 2022/08/26 16:30:56 - mmengine - INFO - Epoch(val) [160][295/500] eta: 0:00:03 time: 0.0190 data_time: 0.0016 memory: 489 2022/08/26 16:30:56 - mmengine - INFO - Epoch(val) [160][300/500] eta: 0:00:03 time: 0.0191 data_time: 0.0017 memory: 497 2022/08/26 16:30:56 - mmengine - INFO - Epoch(val) [160][305/500] eta: 0:00:03 time: 0.0198 data_time: 0.0017 memory: 597 2022/08/26 16:30:57 - mmengine - INFO - Epoch(val) [160][310/500] eta: 0:00:03 time: 0.0205 data_time: 0.0016 memory: 606 2022/08/26 16:30:57 - mmengine - INFO - Epoch(val) [160][315/500] eta: 0:00:03 time: 0.0218 data_time: 0.0018 memory: 539 2022/08/26 16:30:57 - mmengine - INFO - Epoch(val) [160][320/500] eta: 0:00:04 time: 0.0239 data_time: 0.0020 memory: 499 2022/08/26 16:30:57 - mmengine - INFO - Epoch(val) [160][325/500] eta: 0:00:04 time: 0.0231 data_time: 0.0021 memory: 497 2022/08/26 16:30:57 - mmengine - INFO - Epoch(val) [160][330/500] eta: 0:00:04 time: 0.0240 data_time: 0.0020 memory: 497 2022/08/26 16:30:57 - mmengine - INFO - Epoch(val) [160][335/500] eta: 0:00:04 time: 0.0479 data_time: 0.0238 memory: 497 2022/08/26 16:30:58 - mmengine - INFO - Epoch(val) [160][340/500] eta: 0:00:07 time: 0.0444 data_time: 0.0233 memory: 522 2022/08/26 16:30:58 - mmengine - INFO - Epoch(val) [160][345/500] eta: 0:00:07 time: 0.0185 data_time: 0.0012 memory: 572 2022/08/26 16:30:58 - mmengine - INFO - Epoch(val) [160][350/500] eta: 0:00:03 time: 0.0201 data_time: 0.0015 memory: 499 2022/08/26 16:30:58 - mmengine - INFO - Epoch(val) [160][355/500] eta: 0:00:03 time: 0.0236 data_time: 0.0014 memory: 525 2022/08/26 16:30:58 - mmengine - INFO - Epoch(val) [160][360/500] eta: 0:00:02 time: 0.0210 data_time: 0.0016 memory: 525 2022/08/26 16:30:58 - mmengine - INFO - Epoch(val) [160][365/500] eta: 0:00:02 time: 0.0223 data_time: 0.0019 memory: 707 2022/08/26 16:30:58 - mmengine - INFO - Epoch(val) [160][370/500] eta: 0:00:02 time: 0.0229 data_time: 0.0018 memory: 539 2022/08/26 16:30:58 - mmengine - INFO - Epoch(val) [160][375/500] eta: 0:00:02 time: 0.0201 data_time: 0.0018 memory: 765 2022/08/26 16:30:58 - mmengine - INFO - Epoch(val) [160][380/500] eta: 0:00:02 time: 0.0223 data_time: 0.0019 memory: 572 2022/08/26 16:30:58 - mmengine - INFO - Epoch(val) [160][385/500] eta: 0:00:02 time: 0.0194 data_time: 0.0016 memory: 497 2022/08/26 16:30:59 - mmengine - INFO - Epoch(val) [160][390/500] eta: 0:00:02 time: 0.0184 data_time: 0.0018 memory: 539 2022/08/26 16:30:59 - mmengine - INFO - Epoch(val) [160][395/500] eta: 0:00:02 time: 0.0267 data_time: 0.0019 memory: 489 2022/08/26 16:30:59 - mmengine - INFO - Epoch(val) [160][400/500] eta: 0:00:02 time: 0.0281 data_time: 0.0016 memory: 497 2022/08/26 16:30:59 - mmengine - INFO - Epoch(val) [160][405/500] eta: 0:00:02 time: 0.0203 data_time: 0.0017 memory: 497 2022/08/26 16:30:59 - mmengine - INFO - Epoch(val) [160][410/500] eta: 0:00:01 time: 0.0188 data_time: 0.0016 memory: 497 2022/08/26 16:30:59 - mmengine - INFO - Epoch(val) [160][415/500] eta: 0:00:01 time: 0.0214 data_time: 0.0016 memory: 497 2022/08/26 16:30:59 - mmengine - INFO - Epoch(val) [160][420/500] eta: 0:00:01 time: 0.0218 data_time: 0.0015 memory: 497 2022/08/26 16:30:59 - mmengine - INFO - Epoch(val) [160][425/500] eta: 0:00:01 time: 0.0204 data_time: 0.0014 memory: 489 2022/08/26 16:31:00 - mmengine - INFO - Epoch(val) [160][430/500] eta: 0:00:02 time: 0.0314 data_time: 0.0124 memory: 516 2022/08/26 16:31:00 - mmengine - INFO - Epoch(val) [160][435/500] eta: 0:00:02 time: 0.0348 data_time: 0.0122 memory: 681 2022/08/26 16:31:00 - mmengine - INFO - Epoch(val) [160][440/500] eta: 0:00:01 time: 0.0252 data_time: 0.0016 memory: 539 2022/08/26 16:31:00 - mmengine - INFO - Epoch(val) [160][445/500] eta: 0:00:01 time: 0.0214 data_time: 0.0019 memory: 489 2022/08/26 16:31:00 - mmengine - INFO - Epoch(val) [160][450/500] eta: 0:00:00 time: 0.0197 data_time: 0.0019 memory: 507 2022/08/26 16:31:00 - mmengine - INFO - Epoch(val) [160][455/500] eta: 0:00:00 time: 0.0212 data_time: 0.0021 memory: 606 2022/08/26 16:31:00 - mmengine - INFO - Epoch(val) [160][460/500] eta: 0:00:00 time: 0.0210 data_time: 0.0020 memory: 499 2022/08/26 16:31:00 - mmengine - INFO - Epoch(val) [160][465/500] eta: 0:00:00 time: 0.0205 data_time: 0.0021 memory: 539 2022/08/26 16:31:00 - mmengine - INFO - Epoch(val) [160][470/500] eta: 0:00:00 time: 0.0226 data_time: 0.0022 memory: 516 2022/08/26 16:31:01 - mmengine - INFO - Epoch(val) [160][475/500] eta: 0:00:00 time: 0.0232 data_time: 0.0022 memory: 507 2022/08/26 16:31:01 - mmengine - INFO - Epoch(val) [160][480/500] eta: 0:00:00 time: 0.0205 data_time: 0.0022 memory: 464 2022/08/26 16:31:01 - mmengine - INFO - Epoch(val) [160][485/500] eta: 0:00:00 time: 0.0200 data_time: 0.0019 memory: 497 2022/08/26 16:31:01 - mmengine - INFO - Epoch(val) [160][490/500] eta: 0:00:00 time: 0.0193 data_time: 0.0017 memory: 497 2022/08/26 16:31:01 - mmengine - INFO - Epoch(val) [160][495/500] eta: 0:00:00 time: 0.0188 data_time: 0.0020 memory: 480 2022/08/26 16:31:01 - mmengine - INFO - Epoch(val) [160][500/500] eta: 0:00:00 time: 0.0208 data_time: 0.0020 memory: 522 2022/08/26 16:31:01 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 16:31:01 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7597, precision: 0.6491, hmean: 0.7000 2022/08/26 16:31:01 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7597, precision: 0.6491, hmean: 0.7000 2022/08/26 16:31:01 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7597, precision: 0.6491, hmean: 0.7000 2022/08/26 16:31:01 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7597, precision: 0.6491, hmean: 0.7000 2022/08/26 16:31:01 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7597, precision: 0.6491, hmean: 0.7000 2022/08/26 16:31:01 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7597, precision: 0.6509, hmean: 0.7011 2022/08/26 16:31:01 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7597, precision: 0.6616, hmean: 0.7072 2022/08/26 16:31:01 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7584, precision: 0.6817, hmean: 0.7180 2022/08/26 16:31:01 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7558, precision: 0.7019, hmean: 0.7278 2022/08/26 16:31:01 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7512, precision: 0.7312, hmean: 0.7411 2022/08/26 16:31:01 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7437, precision: 0.7560, hmean: 0.7498 2022/08/26 16:31:01 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7288, precision: 0.7852, hmean: 0.7559 2022/08/26 16:31:01 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6826, precision: 0.8186, hmean: 0.7445 2022/08/26 16:31:01 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.4091, precision: 0.8779, hmean: 0.5581 2022/08/26 16:31:01 - mmengine - INFO - Epoch(val) [160][500/500] icdar/precision: 0.7852 icdar/recall: 0.7288 icdar/hmean: 0.7559 2022/08/26 16:31:06 - mmengine - INFO - Epoch(train) [161][5/63] lr: 7.5602e-04 eta: 0:00:00 time: 0.7632 data_time: 0.2311 memory: 12277 loss_text: 0.0781 loss_kernel: 0.0407 loss_embedding: 0.0185 loss: 0.1373 2022/08/26 16:31:09 - mmengine - INFO - Epoch(train) [161][10/63] lr: 7.5602e-04 eta: 4:15:32 time: 0.7409 data_time: 0.2304 memory: 12277 loss_text: 0.0834 loss_kernel: 0.0432 loss_embedding: 0.0190 loss: 0.1455 2022/08/26 16:31:11 - mmengine - INFO - Epoch(train) [161][15/63] lr: 7.5602e-04 eta: 4:15:32 time: 0.5184 data_time: 0.0232 memory: 12277 loss_text: 0.0736 loss_kernel: 0.0435 loss_embedding: 0.0184 loss: 0.1356 2022/08/26 16:31:14 - mmengine - INFO - Epoch(train) [161][20/63] lr: 7.5602e-04 eta: 4:15:25 time: 0.5200 data_time: 0.0248 memory: 12277 loss_text: 0.0696 loss_kernel: 0.0434 loss_embedding: 0.0164 loss: 0.1294 2022/08/26 16:31:17 - mmengine - INFO - Epoch(train) [161][25/63] lr: 7.5602e-04 eta: 4:15:25 time: 0.5517 data_time: 0.0294 memory: 12277 loss_text: 0.0705 loss_kernel: 0.0432 loss_embedding: 0.0140 loss: 0.1277 2022/08/26 16:31:20 - mmengine - INFO - Epoch(train) [161][30/63] lr: 7.5602e-04 eta: 4:15:21 time: 0.6047 data_time: 0.0508 memory: 12277 loss_text: 0.0663 loss_kernel: 0.0409 loss_embedding: 0.0150 loss: 0.1222 2022/08/26 16:31:23 - mmengine - INFO - Epoch(train) [161][35/63] lr: 7.5602e-04 eta: 4:15:21 time: 0.5858 data_time: 0.0507 memory: 12277 loss_text: 0.0606 loss_kernel: 0.0388 loss_embedding: 0.0156 loss: 0.1151 2022/08/26 16:31:25 - mmengine - INFO - Epoch(train) [161][40/63] lr: 7.5602e-04 eta: 4:15:15 time: 0.5285 data_time: 0.0289 memory: 12277 loss_text: 0.0610 loss_kernel: 0.0390 loss_embedding: 0.0167 loss: 0.1167 2022/08/26 16:31:28 - mmengine - INFO - Epoch(train) [161][45/63] lr: 7.5602e-04 eta: 4:15:15 time: 0.5271 data_time: 0.0257 memory: 12277 loss_text: 0.0736 loss_kernel: 0.0411 loss_embedding: 0.0179 loss: 0.1326 2022/08/26 16:31:31 - mmengine - INFO - Epoch(train) [161][50/63] lr: 7.5602e-04 eta: 4:15:09 time: 0.5424 data_time: 0.0209 memory: 12277 loss_text: 0.0783 loss_kernel: 0.0414 loss_embedding: 0.0180 loss: 0.1377 2022/08/26 16:31:33 - mmengine - INFO - Epoch(train) [161][55/63] lr: 7.5602e-04 eta: 4:15:09 time: 0.5373 data_time: 0.0226 memory: 12277 loss_text: 0.0770 loss_kernel: 0.0451 loss_embedding: 0.0172 loss: 0.1392 2022/08/26 16:31:37 - mmengine - INFO - Epoch(train) [161][60/63] lr: 7.5602e-04 eta: 4:15:05 time: 0.5918 data_time: 0.0286 memory: 12277 loss_text: 0.0730 loss_kernel: 0.0433 loss_embedding: 0.0144 loss: 0.1307 2022/08/26 16:31:38 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:31:42 - mmengine - INFO - Epoch(train) [162][5/63] lr: 7.5447e-04 eta: 4:15:05 time: 0.6454 data_time: 0.1617 memory: 12277 loss_text: 0.0619 loss_kernel: 0.0366 loss_embedding: 0.0142 loss: 0.1127 2022/08/26 16:31:45 - mmengine - INFO - Epoch(train) [162][10/63] lr: 7.5447e-04 eta: 4:14:56 time: 0.6798 data_time: 0.1652 memory: 12277 loss_text: 0.0593 loss_kernel: 0.0360 loss_embedding: 0.0135 loss: 0.1087 2022/08/26 16:31:47 - mmengine - INFO - Epoch(train) [162][15/63] lr: 7.5447e-04 eta: 4:14:56 time: 0.5209 data_time: 0.0279 memory: 12277 loss_text: 0.0603 loss_kernel: 0.0358 loss_embedding: 0.0132 loss: 0.1094 2022/08/26 16:31:50 - mmengine - INFO - Epoch(train) [162][20/63] lr: 7.5447e-04 eta: 4:14:50 time: 0.5176 data_time: 0.0274 memory: 12277 loss_text: 0.0623 loss_kernel: 0.0417 loss_embedding: 0.0139 loss: 0.1178 2022/08/26 16:31:53 - mmengine - INFO - Epoch(train) [162][25/63] lr: 7.5447e-04 eta: 4:14:50 time: 0.5615 data_time: 0.0341 memory: 12277 loss_text: 0.0615 loss_kernel: 0.0423 loss_embedding: 0.0158 loss: 0.1197 2022/08/26 16:31:56 - mmengine - INFO - Epoch(train) [162][30/63] lr: 7.5447e-04 eta: 4:14:46 time: 0.5959 data_time: 0.0420 memory: 12277 loss_text: 0.0627 loss_kernel: 0.0393 loss_embedding: 0.0160 loss: 0.1180 2022/08/26 16:31:59 - mmengine - INFO - Epoch(train) [162][35/63] lr: 7.5447e-04 eta: 4:14:46 time: 0.5920 data_time: 0.0417 memory: 12277 loss_text: 0.0715 loss_kernel: 0.0447 loss_embedding: 0.0155 loss: 0.1316 2022/08/26 16:32:01 - mmengine - INFO - Epoch(train) [162][40/63] lr: 7.5447e-04 eta: 4:14:40 time: 0.5426 data_time: 0.0344 memory: 12277 loss_text: 0.0739 loss_kernel: 0.0431 loss_embedding: 0.0149 loss: 0.1319 2022/08/26 16:32:04 - mmengine - INFO - Epoch(train) [162][45/63] lr: 7.5447e-04 eta: 4:14:40 time: 0.5186 data_time: 0.0255 memory: 12277 loss_text: 0.0716 loss_kernel: 0.0430 loss_embedding: 0.0162 loss: 0.1309 2022/08/26 16:32:08 - mmengine - INFO - Epoch(train) [162][50/63] lr: 7.5447e-04 eta: 4:14:37 time: 0.6504 data_time: 0.0234 memory: 12277 loss_text: 0.0686 loss_kernel: 0.0445 loss_embedding: 0.0180 loss: 0.1310 2022/08/26 16:32:11 - mmengine - INFO - Epoch(train) [162][55/63] lr: 7.5447e-04 eta: 4:14:37 time: 0.6754 data_time: 0.0286 memory: 12277 loss_text: 0.0665 loss_kernel: 0.0400 loss_embedding: 0.0181 loss: 0.1247 2022/08/26 16:32:13 - mmengine - INFO - Epoch(train) [162][60/63] lr: 7.5447e-04 eta: 4:14:32 time: 0.5698 data_time: 0.0307 memory: 12277 loss_text: 0.0797 loss_kernel: 0.0407 loss_embedding: 0.0166 loss: 0.1370 2022/08/26 16:32:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:32:20 - mmengine - INFO - Epoch(train) [163][5/63] lr: 7.5292e-04 eta: 4:14:32 time: 0.7532 data_time: 0.2318 memory: 12277 loss_text: 0.0794 loss_kernel: 0.0448 loss_embedding: 0.0153 loss: 0.1395 2022/08/26 16:32:23 - mmengine - INFO - Epoch(train) [163][10/63] lr: 7.5292e-04 eta: 4:14:26 time: 0.7711 data_time: 0.2331 memory: 12277 loss_text: 0.0771 loss_kernel: 0.0435 loss_embedding: 0.0156 loss: 0.1362 2022/08/26 16:32:26 - mmengine - INFO - Epoch(train) [163][15/63] lr: 7.5292e-04 eta: 4:14:26 time: 0.5730 data_time: 0.0251 memory: 12277 loss_text: 0.0767 loss_kernel: 0.0393 loss_embedding: 0.0153 loss: 0.1313 2022/08/26 16:32:28 - mmengine - INFO - Epoch(train) [163][20/63] lr: 7.5292e-04 eta: 4:14:21 time: 0.5699 data_time: 0.0238 memory: 12277 loss_text: 0.0756 loss_kernel: 0.0377 loss_embedding: 0.0153 loss: 0.1286 2022/08/26 16:32:31 - mmengine - INFO - Epoch(train) [163][25/63] lr: 7.5292e-04 eta: 4:14:21 time: 0.5199 data_time: 0.0219 memory: 12277 loss_text: 0.0850 loss_kernel: 0.0453 loss_embedding: 0.0151 loss: 0.1454 2022/08/26 16:32:34 - mmengine - INFO - Epoch(train) [163][30/63] lr: 7.5292e-04 eta: 4:14:15 time: 0.5391 data_time: 0.0264 memory: 12277 loss_text: 0.0903 loss_kernel: 0.0492 loss_embedding: 0.0147 loss: 0.1541 2022/08/26 16:32:37 - mmengine - INFO - Epoch(train) [163][35/63] lr: 7.5292e-04 eta: 4:14:15 time: 0.5700 data_time: 0.0332 memory: 12277 loss_text: 0.0743 loss_kernel: 0.0404 loss_embedding: 0.0150 loss: 0.1297 2022/08/26 16:32:39 - mmengine - INFO - Epoch(train) [163][40/63] lr: 7.5292e-04 eta: 4:14:09 time: 0.5515 data_time: 0.0310 memory: 12277 loss_text: 0.0728 loss_kernel: 0.0421 loss_embedding: 0.0148 loss: 0.1298 2022/08/26 16:32:42 - mmengine - INFO - Epoch(train) [163][45/63] lr: 7.5292e-04 eta: 4:14:09 time: 0.5229 data_time: 0.0265 memory: 12277 loss_text: 0.0826 loss_kernel: 0.0440 loss_embedding: 0.0158 loss: 0.1425 2022/08/26 16:32:44 - mmengine - INFO - Epoch(train) [163][50/63] lr: 7.5292e-04 eta: 4:14:03 time: 0.5176 data_time: 0.0270 memory: 12277 loss_text: 0.0727 loss_kernel: 0.0381 loss_embedding: 0.0143 loss: 0.1251 2022/08/26 16:32:47 - mmengine - INFO - Epoch(train) [163][55/63] lr: 7.5292e-04 eta: 4:14:03 time: 0.5361 data_time: 0.0336 memory: 12277 loss_text: 0.0691 loss_kernel: 0.0399 loss_embedding: 0.0125 loss: 0.1215 2022/08/26 16:32:50 - mmengine - INFO - Epoch(train) [163][60/63] lr: 7.5292e-04 eta: 4:13:57 time: 0.5577 data_time: 0.0329 memory: 12277 loss_text: 0.0756 loss_kernel: 0.0431 loss_embedding: 0.0144 loss: 0.1331 2022/08/26 16:32:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:32:56 - mmengine - INFO - Epoch(train) [164][5/63] lr: 7.5137e-04 eta: 4:13:57 time: 0.7228 data_time: 0.2121 memory: 12277 loss_text: 0.0732 loss_kernel: 0.0439 loss_embedding: 0.0166 loss: 0.1336 2022/08/26 16:32:59 - mmengine - INFO - Epoch(train) [164][10/63] lr: 7.5137e-04 eta: 4:13:50 time: 0.7209 data_time: 0.2165 memory: 12277 loss_text: 0.0828 loss_kernel: 0.0474 loss_embedding: 0.0144 loss: 0.1445 2022/08/26 16:33:01 - mmengine - INFO - Epoch(train) [164][15/63] lr: 7.5137e-04 eta: 4:13:50 time: 0.5043 data_time: 0.0271 memory: 12277 loss_text: 0.0735 loss_kernel: 0.0404 loss_embedding: 0.0142 loss: 0.1281 2022/08/26 16:33:04 - mmengine - INFO - Epoch(train) [164][20/63] lr: 7.5137e-04 eta: 4:13:45 time: 0.5532 data_time: 0.0241 memory: 12277 loss_text: 0.0601 loss_kernel: 0.0368 loss_embedding: 0.0160 loss: 0.1129 2022/08/26 16:33:07 - mmengine - INFO - Epoch(train) [164][25/63] lr: 7.5137e-04 eta: 4:13:45 time: 0.5923 data_time: 0.0426 memory: 12277 loss_text: 0.0627 loss_kernel: 0.0393 loss_embedding: 0.0163 loss: 0.1184 2022/08/26 16:33:10 - mmengine - INFO - Epoch(train) [164][30/63] lr: 7.5137e-04 eta: 4:13:40 time: 0.5691 data_time: 0.0467 memory: 12277 loss_text: 0.0676 loss_kernel: 0.0415 loss_embedding: 0.0148 loss: 0.1239 2022/08/26 16:33:12 - mmengine - INFO - Epoch(train) [164][35/63] lr: 7.5137e-04 eta: 4:13:40 time: 0.5377 data_time: 0.0295 memory: 12277 loss_text: 0.0684 loss_kernel: 0.0389 loss_embedding: 0.0140 loss: 0.1213 2022/08/26 16:33:16 - mmengine - INFO - Epoch(train) [164][40/63] lr: 7.5137e-04 eta: 4:13:37 time: 0.6447 data_time: 0.0564 memory: 12277 loss_text: 0.0695 loss_kernel: 0.0378 loss_embedding: 0.0170 loss: 0.1243 2022/08/26 16:33:19 - mmengine - INFO - Epoch(train) [164][45/63] lr: 7.5137e-04 eta: 4:13:37 time: 0.6600 data_time: 0.0563 memory: 12277 loss_text: 0.0787 loss_kernel: 0.0429 loss_embedding: 0.0188 loss: 0.1404 2022/08/26 16:33:22 - mmengine - INFO - Epoch(train) [164][50/63] lr: 7.5137e-04 eta: 4:13:31 time: 0.5525 data_time: 0.0287 memory: 12277 loss_text: 0.0824 loss_kernel: 0.0460 loss_embedding: 0.0172 loss: 0.1456 2022/08/26 16:33:25 - mmengine - INFO - Epoch(train) [164][55/63] lr: 7.5137e-04 eta: 4:13:31 time: 0.5880 data_time: 0.0478 memory: 12277 loss_text: 0.0807 loss_kernel: 0.0459 loss_embedding: 0.0164 loss: 0.1431 2022/08/26 16:33:28 - mmengine - INFO - Epoch(train) [164][60/63] lr: 7.5137e-04 eta: 4:13:26 time: 0.5730 data_time: 0.0422 memory: 12277 loss_text: 0.0725 loss_kernel: 0.0447 loss_embedding: 0.0160 loss: 0.1332 2022/08/26 16:33:29 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:33:33 - mmengine - INFO - Epoch(train) [165][5/63] lr: 7.4982e-04 eta: 4:13:26 time: 0.6914 data_time: 0.1876 memory: 12277 loss_text: 0.0755 loss_kernel: 0.0446 loss_embedding: 0.0215 loss: 0.1416 2022/08/26 16:33:36 - mmengine - INFO - Epoch(train) [165][10/63] lr: 7.4982e-04 eta: 4:13:20 time: 0.7581 data_time: 0.1962 memory: 12277 loss_text: 0.0853 loss_kernel: 0.0467 loss_embedding: 0.0231 loss: 0.1550 2022/08/26 16:33:39 - mmengine - INFO - Epoch(train) [165][15/63] lr: 7.4982e-04 eta: 4:13:20 time: 0.5648 data_time: 0.0342 memory: 12277 loss_text: 0.0746 loss_kernel: 0.0419 loss_embedding: 0.0163 loss: 0.1328 2022/08/26 16:33:42 - mmengine - INFO - Epoch(train) [165][20/63] lr: 7.4982e-04 eta: 4:13:13 time: 0.5164 data_time: 0.0256 memory: 12277 loss_text: 0.0693 loss_kernel: 0.0383 loss_embedding: 0.0187 loss: 0.1264 2022/08/26 16:33:44 - mmengine - INFO - Epoch(train) [165][25/63] lr: 7.4982e-04 eta: 4:13:13 time: 0.5283 data_time: 0.0303 memory: 12277 loss_text: 0.0741 loss_kernel: 0.0400 loss_embedding: 0.0187 loss: 0.1328 2022/08/26 16:33:47 - mmengine - INFO - Epoch(train) [165][30/63] lr: 7.4982e-04 eta: 4:13:07 time: 0.5338 data_time: 0.0367 memory: 12277 loss_text: 0.0709 loss_kernel: 0.0425 loss_embedding: 0.0163 loss: 0.1297 2022/08/26 16:33:50 - mmengine - INFO - Epoch(train) [165][35/63] lr: 7.4982e-04 eta: 4:13:07 time: 0.5884 data_time: 0.0901 memory: 12277 loss_text: 0.0736 loss_kernel: 0.0442 loss_embedding: 0.0186 loss: 0.1365 2022/08/26 16:33:53 - mmengine - INFO - Epoch(train) [165][40/63] lr: 7.4982e-04 eta: 4:13:02 time: 0.5835 data_time: 0.0826 memory: 12277 loss_text: 0.0716 loss_kernel: 0.0423 loss_embedding: 0.0204 loss: 0.1343 2022/08/26 16:33:56 - mmengine - INFO - Epoch(train) [165][45/63] lr: 7.4982e-04 eta: 4:13:02 time: 0.5441 data_time: 0.0218 memory: 12277 loss_text: 0.0690 loss_kernel: 0.0421 loss_embedding: 0.0196 loss: 0.1306 2022/08/26 16:33:58 - mmengine - INFO - Epoch(train) [165][50/63] lr: 7.4982e-04 eta: 4:12:57 time: 0.5620 data_time: 0.0285 memory: 12277 loss_text: 0.0760 loss_kernel: 0.0450 loss_embedding: 0.0161 loss: 0.1371 2022/08/26 16:34:01 - mmengine - INFO - Epoch(train) [165][55/63] lr: 7.4982e-04 eta: 4:12:57 time: 0.5451 data_time: 0.0271 memory: 12277 loss_text: 0.0802 loss_kernel: 0.0452 loss_embedding: 0.0177 loss: 0.1431 2022/08/26 16:34:04 - mmengine - INFO - Epoch(train) [165][60/63] lr: 7.4982e-04 eta: 4:12:51 time: 0.5178 data_time: 0.0220 memory: 12277 loss_text: 0.0812 loss_kernel: 0.0443 loss_embedding: 0.0213 loss: 0.1469 2022/08/26 16:34:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:34:10 - mmengine - INFO - Epoch(train) [166][5/63] lr: 7.4827e-04 eta: 4:12:51 time: 0.7553 data_time: 0.2241 memory: 12277 loss_text: 0.0738 loss_kernel: 0.0396 loss_embedding: 0.0215 loss: 0.1349 2022/08/26 16:34:13 - mmengine - INFO - Epoch(train) [166][10/63] lr: 7.4827e-04 eta: 4:12:44 time: 0.7260 data_time: 0.2199 memory: 12277 loss_text: 0.0710 loss_kernel: 0.0400 loss_embedding: 0.0188 loss: 0.1297 2022/08/26 16:34:15 - mmengine - INFO - Epoch(train) [166][15/63] lr: 7.4827e-04 eta: 4:12:44 time: 0.5334 data_time: 0.0294 memory: 12277 loss_text: 0.0629 loss_kernel: 0.0372 loss_embedding: 0.0155 loss: 0.1156 2022/08/26 16:34:18 - mmengine - INFO - Epoch(train) [166][20/63] lr: 7.4827e-04 eta: 4:12:38 time: 0.5313 data_time: 0.0280 memory: 12277 loss_text: 0.0605 loss_kernel: 0.0366 loss_embedding: 0.0144 loss: 0.1115 2022/08/26 16:34:21 - mmengine - INFO - Epoch(train) [166][25/63] lr: 7.4827e-04 eta: 4:12:38 time: 0.5108 data_time: 0.0239 memory: 12277 loss_text: 0.0661 loss_kernel: 0.0375 loss_embedding: 0.0142 loss: 0.1178 2022/08/26 16:34:23 - mmengine - INFO - Epoch(train) [166][30/63] lr: 7.4827e-04 eta: 4:12:31 time: 0.5156 data_time: 0.0254 memory: 12277 loss_text: 0.0708 loss_kernel: 0.0390 loss_embedding: 0.0165 loss: 0.1263 2022/08/26 16:34:27 - mmengine - INFO - Epoch(train) [166][35/63] lr: 7.4827e-04 eta: 4:12:31 time: 0.6452 data_time: 0.0342 memory: 12277 loss_text: 0.0720 loss_kernel: 0.0423 loss_embedding: 0.0192 loss: 0.1335 2022/08/26 16:34:30 - mmengine - INFO - Epoch(train) [166][40/63] lr: 7.4827e-04 eta: 4:12:28 time: 0.6392 data_time: 0.0302 memory: 12277 loss_text: 0.0731 loss_kernel: 0.0428 loss_embedding: 0.0178 loss: 0.1338 2022/08/26 16:34:32 - mmengine - INFO - Epoch(train) [166][45/63] lr: 7.4827e-04 eta: 4:12:28 time: 0.5160 data_time: 0.0195 memory: 12277 loss_text: 0.0671 loss_kernel: 0.0388 loss_embedding: 0.0154 loss: 0.1213 2022/08/26 16:34:35 - mmengine - INFO - Epoch(train) [166][50/63] lr: 7.4827e-04 eta: 4:12:22 time: 0.5318 data_time: 0.0253 memory: 12277 loss_text: 0.0634 loss_kernel: 0.0374 loss_embedding: 0.0143 loss: 0.1151 2022/08/26 16:34:37 - mmengine - INFO - Epoch(train) [166][55/63] lr: 7.4827e-04 eta: 4:12:22 time: 0.5289 data_time: 0.0265 memory: 12277 loss_text: 0.0626 loss_kernel: 0.0418 loss_embedding: 0.0150 loss: 0.1194 2022/08/26 16:34:40 - mmengine - INFO - Epoch(train) [166][60/63] lr: 7.4827e-04 eta: 4:12:15 time: 0.5081 data_time: 0.0213 memory: 12277 loss_text: 0.0603 loss_kernel: 0.0406 loss_embedding: 0.0152 loss: 0.1160 2022/08/26 16:34:42 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:34:46 - mmengine - INFO - Epoch(train) [167][5/63] lr: 7.4672e-04 eta: 4:12:15 time: 0.6761 data_time: 0.1285 memory: 12277 loss_text: 0.0710 loss_kernel: 0.0405 loss_embedding: 0.0130 loss: 0.1246 2022/08/26 16:34:49 - mmengine - INFO - Epoch(train) [167][10/63] lr: 7.4672e-04 eta: 4:12:07 time: 0.6984 data_time: 0.1409 memory: 12277 loss_text: 0.0602 loss_kernel: 0.0383 loss_embedding: 0.0140 loss: 0.1124 2022/08/26 16:34:51 - mmengine - INFO - Epoch(train) [167][15/63] lr: 7.4672e-04 eta: 4:12:07 time: 0.5450 data_time: 0.0413 memory: 12277 loss_text: 0.0607 loss_kernel: 0.0392 loss_embedding: 0.0165 loss: 0.1163 2022/08/26 16:34:54 - mmengine - INFO - Epoch(train) [167][20/63] lr: 7.4672e-04 eta: 4:12:01 time: 0.5353 data_time: 0.0333 memory: 12277 loss_text: 0.0754 loss_kernel: 0.0403 loss_embedding: 0.0178 loss: 0.1335 2022/08/26 16:34:57 - mmengine - INFO - Epoch(train) [167][25/63] lr: 7.4672e-04 eta: 4:12:01 time: 0.5533 data_time: 0.0264 memory: 12277 loss_text: 0.0788 loss_kernel: 0.0437 loss_embedding: 0.0163 loss: 0.1388 2022/08/26 16:35:00 - mmengine - INFO - Epoch(train) [167][30/63] lr: 7.4672e-04 eta: 4:11:55 time: 0.5385 data_time: 0.0298 memory: 12277 loss_text: 0.0773 loss_kernel: 0.0457 loss_embedding: 0.0147 loss: 0.1377 2022/08/26 16:35:03 - mmengine - INFO - Epoch(train) [167][35/63] lr: 7.4672e-04 eta: 4:11:55 time: 0.5578 data_time: 0.0309 memory: 12277 loss_text: 0.0778 loss_kernel: 0.0461 loss_embedding: 0.0141 loss: 0.1380 2022/08/26 16:35:05 - mmengine - INFO - Epoch(train) [167][40/63] lr: 7.4672e-04 eta: 4:11:50 time: 0.5708 data_time: 0.0331 memory: 12277 loss_text: 0.0705 loss_kernel: 0.0448 loss_embedding: 0.0142 loss: 0.1295 2022/08/26 16:35:08 - mmengine - INFO - Epoch(train) [167][45/63] lr: 7.4672e-04 eta: 4:11:50 time: 0.5469 data_time: 0.0326 memory: 12277 loss_text: 0.0705 loss_kernel: 0.0429 loss_embedding: 0.0169 loss: 0.1303 2022/08/26 16:35:11 - mmengine - INFO - Epoch(train) [167][50/63] lr: 7.4672e-04 eta: 4:11:44 time: 0.5249 data_time: 0.0290 memory: 12277 loss_text: 0.0776 loss_kernel: 0.0432 loss_embedding: 0.0158 loss: 0.1366 2022/08/26 16:35:13 - mmengine - INFO - Epoch(train) [167][55/63] lr: 7.4672e-04 eta: 4:11:44 time: 0.5169 data_time: 0.0271 memory: 12277 loss_text: 0.0833 loss_kernel: 0.0487 loss_embedding: 0.0136 loss: 0.1457 2022/08/26 16:35:16 - mmengine - INFO - Epoch(train) [167][60/63] lr: 7.4672e-04 eta: 4:11:38 time: 0.5369 data_time: 0.0228 memory: 12277 loss_text: 0.0708 loss_kernel: 0.0429 loss_embedding: 0.0145 loss: 0.1282 2022/08/26 16:35:17 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:35:22 - mmengine - INFO - Epoch(train) [168][5/63] lr: 7.4516e-04 eta: 4:11:38 time: 0.7029 data_time: 0.2034 memory: 12277 loss_text: 0.0645 loss_kernel: 0.0394 loss_embedding: 0.0162 loss: 0.1201 2022/08/26 16:35:25 - mmengine - INFO - Epoch(train) [168][10/63] lr: 7.4516e-04 eta: 4:11:31 time: 0.7409 data_time: 0.2068 memory: 12277 loss_text: 0.0690 loss_kernel: 0.0418 loss_embedding: 0.0151 loss: 0.1258 2022/08/26 16:35:28 - mmengine - INFO - Epoch(train) [168][15/63] lr: 7.4516e-04 eta: 4:11:31 time: 0.5627 data_time: 0.0353 memory: 12277 loss_text: 0.0893 loss_kernel: 0.0493 loss_embedding: 0.0150 loss: 0.1535 2022/08/26 16:35:30 - mmengine - INFO - Epoch(train) [168][20/63] lr: 7.4516e-04 eta: 4:11:26 time: 0.5700 data_time: 0.0334 memory: 12277 loss_text: 0.0849 loss_kernel: 0.0463 loss_embedding: 0.0152 loss: 0.1464 2022/08/26 16:35:33 - mmengine - INFO - Epoch(train) [168][25/63] lr: 7.4516e-04 eta: 4:11:26 time: 0.5769 data_time: 0.0283 memory: 12277 loss_text: 0.0686 loss_kernel: 0.0405 loss_embedding: 0.0146 loss: 0.1237 2022/08/26 16:35:36 - mmengine - INFO - Epoch(train) [168][30/63] lr: 7.4516e-04 eta: 4:11:21 time: 0.5690 data_time: 0.0351 memory: 12277 loss_text: 0.0666 loss_kernel: 0.0400 loss_embedding: 0.0148 loss: 0.1213 2022/08/26 16:35:39 - mmengine - INFO - Epoch(train) [168][35/63] lr: 7.4516e-04 eta: 4:11:21 time: 0.5570 data_time: 0.0327 memory: 12277 loss_text: 0.0593 loss_kernel: 0.0367 loss_embedding: 0.0157 loss: 0.1117 2022/08/26 16:35:42 - mmengine - INFO - Epoch(train) [168][40/63] lr: 7.4516e-04 eta: 4:11:16 time: 0.5647 data_time: 0.0264 memory: 12277 loss_text: 0.0585 loss_kernel: 0.0363 loss_embedding: 0.0150 loss: 0.1098 2022/08/26 16:35:44 - mmengine - INFO - Epoch(train) [168][45/63] lr: 7.4516e-04 eta: 4:11:16 time: 0.5609 data_time: 0.0316 memory: 12277 loss_text: 0.0639 loss_kernel: 0.0410 loss_embedding: 0.0156 loss: 0.1204 2022/08/26 16:35:48 - mmengine - INFO - Epoch(train) [168][50/63] lr: 7.4516e-04 eta: 4:11:12 time: 0.6042 data_time: 0.0375 memory: 12277 loss_text: 0.0676 loss_kernel: 0.0434 loss_embedding: 0.0176 loss: 0.1286 2022/08/26 16:35:51 - mmengine - INFO - Epoch(train) [168][55/63] lr: 7.4516e-04 eta: 4:11:12 time: 0.6151 data_time: 0.0356 memory: 12277 loss_text: 0.0625 loss_kernel: 0.0387 loss_embedding: 0.0161 loss: 0.1173 2022/08/26 16:35:53 - mmengine - INFO - Epoch(train) [168][60/63] lr: 7.4516e-04 eta: 4:11:06 time: 0.5569 data_time: 0.0274 memory: 12277 loss_text: 0.0600 loss_kernel: 0.0373 loss_embedding: 0.0141 loss: 0.1114 2022/08/26 16:35:55 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:35:59 - mmengine - INFO - Epoch(train) [169][5/63] lr: 7.4361e-04 eta: 4:11:06 time: 0.6708 data_time: 0.1723 memory: 12277 loss_text: 0.0610 loss_kernel: 0.0373 loss_embedding: 0.0127 loss: 0.1110 2022/08/26 16:36:02 - mmengine - INFO - Epoch(train) [169][10/63] lr: 7.4361e-04 eta: 4:10:59 time: 0.7175 data_time: 0.1931 memory: 12277 loss_text: 0.0660 loss_kernel: 0.0397 loss_embedding: 0.0131 loss: 0.1187 2022/08/26 16:36:05 - mmengine - INFO - Epoch(train) [169][15/63] lr: 7.4361e-04 eta: 4:10:59 time: 0.5700 data_time: 0.0461 memory: 12277 loss_text: 0.0623 loss_kernel: 0.0400 loss_embedding: 0.0144 loss: 0.1167 2022/08/26 16:36:07 - mmengine - INFO - Epoch(train) [169][20/63] lr: 7.4361e-04 eta: 4:10:53 time: 0.5533 data_time: 0.0295 memory: 12277 loss_text: 0.0570 loss_kernel: 0.0379 loss_embedding: 0.0144 loss: 0.1094 2022/08/26 16:36:10 - mmengine - INFO - Epoch(train) [169][25/63] lr: 7.4361e-04 eta: 4:10:53 time: 0.5599 data_time: 0.0256 memory: 12277 loss_text: 0.0652 loss_kernel: 0.0393 loss_embedding: 0.0137 loss: 0.1182 2022/08/26 16:36:13 - mmengine - INFO - Epoch(train) [169][30/63] lr: 7.4361e-04 eta: 4:10:48 time: 0.5566 data_time: 0.0317 memory: 12277 loss_text: 0.0656 loss_kernel: 0.0394 loss_embedding: 0.0157 loss: 0.1208 2022/08/26 16:36:16 - mmengine - INFO - Epoch(train) [169][35/63] lr: 7.4361e-04 eta: 4:10:48 time: 0.5483 data_time: 0.0361 memory: 12277 loss_text: 0.0607 loss_kernel: 0.0377 loss_embedding: 0.0153 loss: 0.1137 2022/08/26 16:36:19 - mmengine - INFO - Epoch(train) [169][40/63] lr: 7.4361e-04 eta: 4:10:42 time: 0.5517 data_time: 0.0295 memory: 12277 loss_text: 0.0657 loss_kernel: 0.0407 loss_embedding: 0.0154 loss: 0.1218 2022/08/26 16:36:21 - mmengine - INFO - Epoch(train) [169][45/63] lr: 7.4361e-04 eta: 4:10:42 time: 0.5669 data_time: 0.0263 memory: 12277 loss_text: 0.0648 loss_kernel: 0.0399 loss_embedding: 0.0160 loss: 0.1206 2022/08/26 16:36:24 - mmengine - INFO - Epoch(train) [169][50/63] lr: 7.4361e-04 eta: 4:10:37 time: 0.5712 data_time: 0.0278 memory: 12277 loss_text: 0.0588 loss_kernel: 0.0364 loss_embedding: 0.0145 loss: 0.1097 2022/08/26 16:36:28 - mmengine - INFO - Epoch(train) [169][55/63] lr: 7.4361e-04 eta: 4:10:37 time: 0.6711 data_time: 0.0276 memory: 12277 loss_text: 0.0598 loss_kernel: 0.0362 loss_embedding: 0.0136 loss: 0.1096 2022/08/26 16:36:31 - mmengine - INFO - Epoch(train) [169][60/63] lr: 7.4361e-04 eta: 4:10:34 time: 0.6625 data_time: 0.0245 memory: 12277 loss_text: 0.0623 loss_kernel: 0.0364 loss_embedding: 0.0154 loss: 0.1140 2022/08/26 16:36:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:36:36 - mmengine - INFO - Epoch(train) [170][5/63] lr: 7.4206e-04 eta: 4:10:34 time: 0.6367 data_time: 0.1326 memory: 12277 loss_text: 0.0713 loss_kernel: 0.0422 loss_embedding: 0.0164 loss: 0.1299 2022/08/26 16:36:39 - mmengine - INFO - Epoch(train) [170][10/63] lr: 7.4206e-04 eta: 4:10:26 time: 0.6717 data_time: 0.1412 memory: 12277 loss_text: 0.0744 loss_kernel: 0.0447 loss_embedding: 0.0173 loss: 0.1364 2022/08/26 16:36:42 - mmengine - INFO - Epoch(train) [170][15/63] lr: 7.4206e-04 eta: 4:10:26 time: 0.5606 data_time: 0.0417 memory: 12277 loss_text: 0.0685 loss_kernel: 0.0388 loss_embedding: 0.0155 loss: 0.1227 2022/08/26 16:36:45 - mmengine - INFO - Epoch(train) [170][20/63] lr: 7.4206e-04 eta: 4:10:20 time: 0.5482 data_time: 0.0318 memory: 12277 loss_text: 0.0746 loss_kernel: 0.0406 loss_embedding: 0.0148 loss: 0.1299 2022/08/26 16:36:47 - mmengine - INFO - Epoch(train) [170][25/63] lr: 7.4206e-04 eta: 4:10:20 time: 0.5470 data_time: 0.0241 memory: 12277 loss_text: 0.0717 loss_kernel: 0.0412 loss_embedding: 0.0159 loss: 0.1288 2022/08/26 16:36:50 - mmengine - INFO - Epoch(train) [170][30/63] lr: 7.4206e-04 eta: 4:10:15 time: 0.5614 data_time: 0.0292 memory: 12277 loss_text: 0.0593 loss_kernel: 0.0372 loss_embedding: 0.0163 loss: 0.1128 2022/08/26 16:36:53 - mmengine - INFO - Epoch(train) [170][35/63] lr: 7.4206e-04 eta: 4:10:15 time: 0.5389 data_time: 0.0286 memory: 12277 loss_text: 0.0814 loss_kernel: 0.0480 loss_embedding: 0.0145 loss: 0.1440 2022/08/26 16:36:56 - mmengine - INFO - Epoch(train) [170][40/63] lr: 7.4206e-04 eta: 4:10:09 time: 0.5499 data_time: 0.0276 memory: 12277 loss_text: 0.0878 loss_kernel: 0.0505 loss_embedding: 0.0150 loss: 0.1532 2022/08/26 16:36:58 - mmengine - INFO - Epoch(train) [170][45/63] lr: 7.4206e-04 eta: 4:10:09 time: 0.5710 data_time: 0.0277 memory: 12277 loss_text: 0.0716 loss_kernel: 0.0404 loss_embedding: 0.0194 loss: 0.1314 2022/08/26 16:37:01 - mmengine - INFO - Epoch(train) [170][50/63] lr: 7.4206e-04 eta: 4:10:04 time: 0.5694 data_time: 0.0272 memory: 12277 loss_text: 0.0688 loss_kernel: 0.0384 loss_embedding: 0.0179 loss: 0.1251 2022/08/26 16:37:04 - mmengine - INFO - Epoch(train) [170][55/63] lr: 7.4206e-04 eta: 4:10:04 time: 0.5542 data_time: 0.0249 memory: 12277 loss_text: 0.0659 loss_kernel: 0.0377 loss_embedding: 0.0155 loss: 0.1191 2022/08/26 16:37:07 - mmengine - INFO - Epoch(train) [170][60/63] lr: 7.4206e-04 eta: 4:09:58 time: 0.5394 data_time: 0.0253 memory: 12277 loss_text: 0.0654 loss_kernel: 0.0413 loss_embedding: 0.0151 loss: 0.1218 2022/08/26 16:37:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:37:12 - mmengine - INFO - Epoch(train) [171][5/63] lr: 7.4050e-04 eta: 4:09:58 time: 0.6348 data_time: 0.1438 memory: 12277 loss_text: 0.0748 loss_kernel: 0.0394 loss_embedding: 0.0176 loss: 0.1318 2022/08/26 16:37:15 - mmengine - INFO - Epoch(train) [171][10/63] lr: 7.4050e-04 eta: 4:09:50 time: 0.6672 data_time: 0.1501 memory: 12277 loss_text: 0.0895 loss_kernel: 0.0476 loss_embedding: 0.0147 loss: 0.1518 2022/08/26 16:37:18 - mmengine - INFO - Epoch(train) [171][15/63] lr: 7.4050e-04 eta: 4:09:50 time: 0.5637 data_time: 0.0335 memory: 12277 loss_text: 0.0944 loss_kernel: 0.0520 loss_embedding: 0.0129 loss: 0.1593 2022/08/26 16:37:20 - mmengine - INFO - Epoch(train) [171][20/63] lr: 7.4050e-04 eta: 4:09:44 time: 0.5567 data_time: 0.0302 memory: 12277 loss_text: 0.0760 loss_kernel: 0.0439 loss_embedding: 0.0151 loss: 0.1349 2022/08/26 16:37:23 - mmengine - INFO - Epoch(train) [171][25/63] lr: 7.4050e-04 eta: 4:09:44 time: 0.5416 data_time: 0.0362 memory: 12277 loss_text: 0.0678 loss_kernel: 0.0386 loss_embedding: 0.0171 loss: 0.1235 2022/08/26 16:37:26 - mmengine - INFO - Epoch(train) [171][30/63] lr: 7.4050e-04 eta: 4:09:39 time: 0.5481 data_time: 0.0402 memory: 12277 loss_text: 0.0657 loss_kernel: 0.0376 loss_embedding: 0.0149 loss: 0.1182 2022/08/26 16:37:28 - mmengine - INFO - Epoch(train) [171][35/63] lr: 7.4050e-04 eta: 4:09:39 time: 0.5328 data_time: 0.0296 memory: 12277 loss_text: 0.0651 loss_kernel: 0.0399 loss_embedding: 0.0152 loss: 0.1203 2022/08/26 16:37:31 - mmengine - INFO - Epoch(train) [171][40/63] lr: 7.4050e-04 eta: 4:09:32 time: 0.5144 data_time: 0.0254 memory: 12277 loss_text: 0.0738 loss_kernel: 0.0454 loss_embedding: 0.0152 loss: 0.1344 2022/08/26 16:37:34 - mmengine - INFO - Epoch(train) [171][45/63] lr: 7.4050e-04 eta: 4:09:32 time: 0.5358 data_time: 0.0274 memory: 12277 loss_text: 0.0689 loss_kernel: 0.0425 loss_embedding: 0.0133 loss: 0.1246 2022/08/26 16:37:37 - mmengine - INFO - Epoch(train) [171][50/63] lr: 7.4050e-04 eta: 4:09:28 time: 0.6179 data_time: 0.0318 memory: 12277 loss_text: 0.0607 loss_kernel: 0.0358 loss_embedding: 0.0129 loss: 0.1094 2022/08/26 16:37:40 - mmengine - INFO - Epoch(train) [171][55/63] lr: 7.4050e-04 eta: 4:09:28 time: 0.6326 data_time: 0.0288 memory: 12277 loss_text: 0.0679 loss_kernel: 0.0408 loss_embedding: 0.0137 loss: 0.1223 2022/08/26 16:37:43 - mmengine - INFO - Epoch(train) [171][60/63] lr: 7.4050e-04 eta: 4:09:23 time: 0.5731 data_time: 0.0232 memory: 12277 loss_text: 0.0676 loss_kernel: 0.0410 loss_embedding: 0.0141 loss: 0.1227 2022/08/26 16:37:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:37:49 - mmengine - INFO - Epoch(train) [172][5/63] lr: 7.3895e-04 eta: 4:09:23 time: 0.7344 data_time: 0.1755 memory: 12277 loss_text: 0.0654 loss_kernel: 0.0409 loss_embedding: 0.0158 loss: 0.1220 2022/08/26 16:37:52 - mmengine - INFO - Epoch(train) [172][10/63] lr: 7.3895e-04 eta: 4:09:17 time: 0.7648 data_time: 0.1843 memory: 12277 loss_text: 0.0677 loss_kernel: 0.0406 loss_embedding: 0.0149 loss: 0.1232 2022/08/26 16:37:56 - mmengine - INFO - Epoch(train) [172][15/63] lr: 7.3895e-04 eta: 4:09:17 time: 0.6432 data_time: 0.0381 memory: 12277 loss_text: 0.0601 loss_kernel: 0.0371 loss_embedding: 0.0164 loss: 0.1136 2022/08/26 16:37:58 - mmengine - INFO - Epoch(train) [172][20/63] lr: 7.3895e-04 eta: 4:09:14 time: 0.6409 data_time: 0.0323 memory: 12277 loss_text: 0.0667 loss_kernel: 0.0374 loss_embedding: 0.0157 loss: 0.1199 2022/08/26 16:38:01 - mmengine - INFO - Epoch(train) [172][25/63] lr: 7.3895e-04 eta: 4:09:14 time: 0.5573 data_time: 0.0276 memory: 12277 loss_text: 0.0859 loss_kernel: 0.0403 loss_embedding: 0.0138 loss: 0.1400 2022/08/26 16:38:04 - mmengine - INFO - Epoch(train) [172][30/63] lr: 7.3895e-04 eta: 4:09:08 time: 0.5637 data_time: 0.0490 memory: 12277 loss_text: 0.1024 loss_kernel: 0.0486 loss_embedding: 0.0141 loss: 0.1650 2022/08/26 16:38:07 - mmengine - INFO - Epoch(train) [172][35/63] lr: 7.3895e-04 eta: 4:09:08 time: 0.5913 data_time: 0.0456 memory: 12277 loss_text: 0.0813 loss_kernel: 0.0453 loss_embedding: 0.0156 loss: 0.1423 2022/08/26 16:38:10 - mmengine - INFO - Epoch(train) [172][40/63] lr: 7.3895e-04 eta: 4:09:03 time: 0.5676 data_time: 0.0229 memory: 12277 loss_text: 0.0680 loss_kernel: 0.0389 loss_embedding: 0.0153 loss: 0.1222 2022/08/26 16:38:12 - mmengine - INFO - Epoch(train) [172][45/63] lr: 7.3895e-04 eta: 4:09:03 time: 0.5240 data_time: 0.0246 memory: 12277 loss_text: 0.0768 loss_kernel: 0.0412 loss_embedding: 0.0147 loss: 0.1326 2022/08/26 16:38:15 - mmengine - INFO - Epoch(train) [172][50/63] lr: 7.3895e-04 eta: 4:08:58 time: 0.5711 data_time: 0.0487 memory: 12277 loss_text: 0.0780 loss_kernel: 0.0422 loss_embedding: 0.0160 loss: 0.1363 2022/08/26 16:38:18 - mmengine - INFO - Epoch(train) [172][55/63] lr: 7.3895e-04 eta: 4:08:58 time: 0.5919 data_time: 0.0477 memory: 12277 loss_text: 0.0768 loss_kernel: 0.0420 loss_embedding: 0.0147 loss: 0.1335 2022/08/26 16:38:21 - mmengine - INFO - Epoch(train) [172][60/63] lr: 7.3895e-04 eta: 4:08:52 time: 0.5411 data_time: 0.0227 memory: 12277 loss_text: 0.0640 loss_kernel: 0.0383 loss_embedding: 0.0132 loss: 0.1156 2022/08/26 16:38:22 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:38:27 - mmengine - INFO - Epoch(train) [173][5/63] lr: 7.3740e-04 eta: 4:08:52 time: 0.7006 data_time: 0.1854 memory: 12277 loss_text: 0.0609 loss_kernel: 0.0367 loss_embedding: 0.0146 loss: 0.1123 2022/08/26 16:38:30 - mmengine - INFO - Epoch(train) [173][10/63] lr: 7.3740e-04 eta: 4:08:46 time: 0.7370 data_time: 0.1930 memory: 12277 loss_text: 0.0676 loss_kernel: 0.0388 loss_embedding: 0.0160 loss: 0.1224 2022/08/26 16:38:32 - mmengine - INFO - Epoch(train) [173][15/63] lr: 7.3740e-04 eta: 4:08:46 time: 0.5281 data_time: 0.0293 memory: 12277 loss_text: 0.0736 loss_kernel: 0.0437 loss_embedding: 0.0166 loss: 0.1339 2022/08/26 16:38:35 - mmengine - INFO - Epoch(train) [173][20/63] lr: 7.3740e-04 eta: 4:08:39 time: 0.5118 data_time: 0.0258 memory: 12277 loss_text: 0.0654 loss_kernel: 0.0421 loss_embedding: 0.0143 loss: 0.1218 2022/08/26 16:38:38 - mmengine - INFO - Epoch(train) [173][25/63] lr: 7.3740e-04 eta: 4:08:39 time: 0.5645 data_time: 0.0429 memory: 12277 loss_text: 0.0626 loss_kernel: 0.0369 loss_embedding: 0.0133 loss: 0.1129 2022/08/26 16:38:41 - mmengine - INFO - Epoch(train) [173][30/63] lr: 7.3740e-04 eta: 4:08:34 time: 0.5891 data_time: 0.0472 memory: 12277 loss_text: 0.0713 loss_kernel: 0.0411 loss_embedding: 0.0154 loss: 0.1278 2022/08/26 16:38:43 - mmengine - INFO - Epoch(train) [173][35/63] lr: 7.3740e-04 eta: 4:08:34 time: 0.5613 data_time: 0.0303 memory: 12277 loss_text: 0.0749 loss_kernel: 0.0451 loss_embedding: 0.0158 loss: 0.1358 2022/08/26 16:38:46 - mmengine - INFO - Epoch(train) [173][40/63] lr: 7.3740e-04 eta: 4:08:28 time: 0.5391 data_time: 0.0216 memory: 12277 loss_text: 0.0733 loss_kernel: 0.0440 loss_embedding: 0.0142 loss: 0.1315 2022/08/26 16:38:49 - mmengine - INFO - Epoch(train) [173][45/63] lr: 7.3740e-04 eta: 4:08:28 time: 0.5227 data_time: 0.0224 memory: 12277 loss_text: 0.0777 loss_kernel: 0.0432 loss_embedding: 0.0173 loss: 0.1383 2022/08/26 16:38:51 - mmengine - INFO - Epoch(train) [173][50/63] lr: 7.3740e-04 eta: 4:08:23 time: 0.5466 data_time: 0.0277 memory: 12277 loss_text: 0.0730 loss_kernel: 0.0406 loss_embedding: 0.0180 loss: 0.1316 2022/08/26 16:38:54 - mmengine - INFO - Epoch(train) [173][55/63] lr: 7.3740e-04 eta: 4:08:23 time: 0.5708 data_time: 0.0276 memory: 12277 loss_text: 0.0628 loss_kernel: 0.0386 loss_embedding: 0.0169 loss: 0.1183 2022/08/26 16:38:57 - mmengine - INFO - Epoch(train) [173][60/63] lr: 7.3740e-04 eta: 4:08:18 time: 0.5857 data_time: 0.0230 memory: 12277 loss_text: 0.0790 loss_kernel: 0.0412 loss_embedding: 0.0143 loss: 0.1346 2022/08/26 16:38:59 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:39:02 - mmengine - INFO - Epoch(train) [174][5/63] lr: 7.3584e-04 eta: 4:08:18 time: 0.6047 data_time: 0.1341 memory: 12277 loss_text: 0.0727 loss_kernel: 0.0409 loss_embedding: 0.0157 loss: 0.1293 2022/08/26 16:39:05 - mmengine - INFO - Epoch(train) [174][10/63] lr: 7.3584e-04 eta: 4:08:09 time: 0.6568 data_time: 0.1409 memory: 12277 loss_text: 0.0792 loss_kernel: 0.0429 loss_embedding: 0.0150 loss: 0.1371 2022/08/26 16:39:08 - mmengine - INFO - Epoch(train) [174][15/63] lr: 7.3584e-04 eta: 4:08:09 time: 0.5491 data_time: 0.0304 memory: 12277 loss_text: 0.0737 loss_kernel: 0.0388 loss_embedding: 0.0138 loss: 0.1262 2022/08/26 16:39:11 - mmengine - INFO - Epoch(train) [174][20/63] lr: 7.3584e-04 eta: 4:08:04 time: 0.5548 data_time: 0.0259 memory: 12277 loss_text: 0.0623 loss_kernel: 0.0363 loss_embedding: 0.0154 loss: 0.1139 2022/08/26 16:39:13 - mmengine - INFO - Epoch(train) [174][25/63] lr: 7.3584e-04 eta: 4:08:04 time: 0.5498 data_time: 0.0225 memory: 12277 loss_text: 0.0717 loss_kernel: 0.0422 loss_embedding: 0.0166 loss: 0.1305 2022/08/26 16:39:16 - mmengine - INFO - Epoch(train) [174][30/63] lr: 7.3584e-04 eta: 4:07:58 time: 0.5466 data_time: 0.0289 memory: 12277 loss_text: 0.0718 loss_kernel: 0.0425 loss_embedding: 0.0156 loss: 0.1299 2022/08/26 16:39:19 - mmengine - INFO - Epoch(train) [174][35/63] lr: 7.3584e-04 eta: 4:07:58 time: 0.5688 data_time: 0.0375 memory: 12277 loss_text: 0.0605 loss_kernel: 0.0387 loss_embedding: 0.0152 loss: 0.1144 2022/08/26 16:39:22 - mmengine - INFO - Epoch(train) [174][40/63] lr: 7.3584e-04 eta: 4:07:53 time: 0.5646 data_time: 0.0300 memory: 12277 loss_text: 0.0612 loss_kernel: 0.0381 loss_embedding: 0.0154 loss: 0.1147 2022/08/26 16:39:25 - mmengine - INFO - Epoch(train) [174][45/63] lr: 7.3584e-04 eta: 4:07:53 time: 0.5432 data_time: 0.0242 memory: 12277 loss_text: 0.0604 loss_kernel: 0.0362 loss_embedding: 0.0149 loss: 0.1115 2022/08/26 16:39:27 - mmengine - INFO - Epoch(train) [174][50/63] lr: 7.3584e-04 eta: 4:07:47 time: 0.5594 data_time: 0.0316 memory: 12277 loss_text: 0.0662 loss_kernel: 0.0381 loss_embedding: 0.0139 loss: 0.1182 2022/08/26 16:39:30 - mmengine - INFO - Epoch(train) [174][55/63] lr: 7.3584e-04 eta: 4:07:47 time: 0.5584 data_time: 0.0304 memory: 12277 loss_text: 0.0720 loss_kernel: 0.0381 loss_embedding: 0.0151 loss: 0.1252 2022/08/26 16:39:33 - mmengine - INFO - Epoch(train) [174][60/63] lr: 7.3584e-04 eta: 4:07:41 time: 0.5305 data_time: 0.0237 memory: 12277 loss_text: 0.0718 loss_kernel: 0.0403 loss_embedding: 0.0152 loss: 0.1274 2022/08/26 16:39:34 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:39:39 - mmengine - INFO - Epoch(train) [175][5/63] lr: 7.3429e-04 eta: 4:07:41 time: 0.7064 data_time: 0.1685 memory: 12277 loss_text: 0.0721 loss_kernel: 0.0399 loss_embedding: 0.0154 loss: 0.1274 2022/08/26 16:39:42 - mmengine - INFO - Epoch(train) [175][10/63] lr: 7.3429e-04 eta: 4:07:34 time: 0.7380 data_time: 0.1750 memory: 12277 loss_text: 0.0681 loss_kernel: 0.0381 loss_embedding: 0.0174 loss: 0.1236 2022/08/26 16:39:44 - mmengine - INFO - Epoch(train) [175][15/63] lr: 7.3429e-04 eta: 4:07:34 time: 0.5301 data_time: 0.0322 memory: 12277 loss_text: 0.0641 loss_kernel: 0.0389 loss_embedding: 0.0156 loss: 0.1186 2022/08/26 16:39:47 - mmengine - INFO - Epoch(train) [175][20/63] lr: 7.3429e-04 eta: 4:07:29 time: 0.5644 data_time: 0.0254 memory: 12277 loss_text: 0.0603 loss_kernel: 0.0377 loss_embedding: 0.0158 loss: 0.1139 2022/08/26 16:39:50 - mmengine - INFO - Epoch(train) [175][25/63] lr: 7.3429e-04 eta: 4:07:29 time: 0.5937 data_time: 0.0219 memory: 12277 loss_text: 0.0594 loss_kernel: 0.0374 loss_embedding: 0.0150 loss: 0.1119 2022/08/26 16:39:53 - mmengine - INFO - Epoch(train) [175][30/63] lr: 7.3429e-04 eta: 4:07:24 time: 0.5754 data_time: 0.0277 memory: 12277 loss_text: 0.0630 loss_kernel: 0.0353 loss_embedding: 0.0124 loss: 0.1108 2022/08/26 16:39:56 - mmengine - INFO - Epoch(train) [175][35/63] lr: 7.3429e-04 eta: 4:07:24 time: 0.5615 data_time: 0.0311 memory: 12277 loss_text: 0.0677 loss_kernel: 0.0352 loss_embedding: 0.0152 loss: 0.1181 2022/08/26 16:39:57 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:39:58 - mmengine - INFO - Epoch(train) [175][40/63] lr: 7.3429e-04 eta: 4:07:19 time: 0.5480 data_time: 0.0256 memory: 12277 loss_text: 0.0643 loss_kernel: 0.0389 loss_embedding: 0.0149 loss: 0.1182 2022/08/26 16:40:01 - mmengine - INFO - Epoch(train) [175][45/63] lr: 7.3429e-04 eta: 4:07:19 time: 0.5382 data_time: 0.0248 memory: 12277 loss_text: 0.0607 loss_kernel: 0.0393 loss_embedding: 0.0138 loss: 0.1138 2022/08/26 16:40:04 - mmengine - INFO - Epoch(train) [175][50/63] lr: 7.3429e-04 eta: 4:07:13 time: 0.5479 data_time: 0.0338 memory: 12277 loss_text: 0.0584 loss_kernel: 0.0389 loss_embedding: 0.0141 loss: 0.1115 2022/08/26 16:40:07 - mmengine - INFO - Epoch(train) [175][55/63] lr: 7.3429e-04 eta: 4:07:13 time: 0.6081 data_time: 0.0390 memory: 12277 loss_text: 0.0580 loss_kernel: 0.0389 loss_embedding: 0.0161 loss: 0.1130 2022/08/26 16:40:10 - mmengine - INFO - Epoch(train) [175][60/63] lr: 7.3429e-04 eta: 4:07:08 time: 0.5899 data_time: 0.0313 memory: 12277 loss_text: 0.0606 loss_kernel: 0.0374 loss_embedding: 0.0167 loss: 0.1147 2022/08/26 16:40:11 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:40:15 - mmengine - INFO - Epoch(train) [176][5/63] lr: 7.3273e-04 eta: 4:07:08 time: 0.6733 data_time: 0.1604 memory: 12277 loss_text: 0.0594 loss_kernel: 0.0377 loss_embedding: 0.0169 loss: 0.1139 2022/08/26 16:40:19 - mmengine - INFO - Epoch(train) [176][10/63] lr: 7.3273e-04 eta: 4:07:01 time: 0.7175 data_time: 0.1753 memory: 12277 loss_text: 0.0553 loss_kernel: 0.0374 loss_embedding: 0.0171 loss: 0.1099 2022/08/26 16:40:21 - mmengine - INFO - Epoch(train) [176][15/63] lr: 7.3273e-04 eta: 4:07:01 time: 0.5737 data_time: 0.0377 memory: 12277 loss_text: 0.0567 loss_kernel: 0.0368 loss_embedding: 0.0158 loss: 0.1093 2022/08/26 16:40:24 - mmengine - INFO - Epoch(train) [176][20/63] lr: 7.3273e-04 eta: 4:06:55 time: 0.5449 data_time: 0.0231 memory: 12277 loss_text: 0.0637 loss_kernel: 0.0392 loss_embedding: 0.0136 loss: 0.1165 2022/08/26 16:40:27 - mmengine - INFO - Epoch(train) [176][25/63] lr: 7.3273e-04 eta: 4:06:55 time: 0.5704 data_time: 0.0234 memory: 12277 loss_text: 0.0771 loss_kernel: 0.0458 loss_embedding: 0.0158 loss: 0.1387 2022/08/26 16:40:30 - mmengine - INFO - Epoch(train) [176][30/63] lr: 7.3273e-04 eta: 4:06:50 time: 0.5726 data_time: 0.0279 memory: 12277 loss_text: 0.0755 loss_kernel: 0.0431 loss_embedding: 0.0166 loss: 0.1352 2022/08/26 16:40:32 - mmengine - INFO - Epoch(train) [176][35/63] lr: 7.3273e-04 eta: 4:06:50 time: 0.5493 data_time: 0.0271 memory: 12277 loss_text: 0.0623 loss_kernel: 0.0367 loss_embedding: 0.0140 loss: 0.1131 2022/08/26 16:40:35 - mmengine - INFO - Epoch(train) [176][40/63] lr: 7.3273e-04 eta: 4:06:45 time: 0.5733 data_time: 0.0232 memory: 12277 loss_text: 0.0610 loss_kernel: 0.0364 loss_embedding: 0.0146 loss: 0.1120 2022/08/26 16:40:38 - mmengine - INFO - Epoch(train) [176][45/63] lr: 7.3273e-04 eta: 4:06:45 time: 0.5711 data_time: 0.0239 memory: 12277 loss_text: 0.0652 loss_kernel: 0.0395 loss_embedding: 0.0147 loss: 0.1194 2022/08/26 16:40:41 - mmengine - INFO - Epoch(train) [176][50/63] lr: 7.3273e-04 eta: 4:06:39 time: 0.5324 data_time: 0.0295 memory: 12277 loss_text: 0.0617 loss_kernel: 0.0386 loss_embedding: 0.0130 loss: 0.1133 2022/08/26 16:40:43 - mmengine - INFO - Epoch(train) [176][55/63] lr: 7.3273e-04 eta: 4:06:39 time: 0.5244 data_time: 0.0279 memory: 12277 loss_text: 0.0593 loss_kernel: 0.0351 loss_embedding: 0.0136 loss: 0.1079 2022/08/26 16:40:47 - mmengine - INFO - Epoch(train) [176][60/63] lr: 7.3273e-04 eta: 4:06:34 time: 0.5760 data_time: 0.0284 memory: 12277 loss_text: 0.0696 loss_kernel: 0.0388 loss_embedding: 0.0141 loss: 0.1226 2022/08/26 16:40:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:40:52 - mmengine - INFO - Epoch(train) [177][5/63] lr: 7.3118e-04 eta: 4:06:34 time: 0.6799 data_time: 0.1906 memory: 12277 loss_text: 0.0764 loss_kernel: 0.0441 loss_embedding: 0.0125 loss: 0.1330 2022/08/26 16:40:55 - mmengine - INFO - Epoch(train) [177][10/63] lr: 7.3118e-04 eta: 4:06:26 time: 0.6785 data_time: 0.1764 memory: 12277 loss_text: 0.0753 loss_kernel: 0.0441 loss_embedding: 0.0161 loss: 0.1355 2022/08/26 16:40:58 - mmengine - INFO - Epoch(train) [177][15/63] lr: 7.3118e-04 eta: 4:06:26 time: 0.5637 data_time: 0.0364 memory: 12277 loss_text: 0.0771 loss_kernel: 0.0418 loss_embedding: 0.0184 loss: 0.1373 2022/08/26 16:41:01 - mmengine - INFO - Epoch(train) [177][20/63] lr: 7.3118e-04 eta: 4:06:20 time: 0.5536 data_time: 0.0251 memory: 12277 loss_text: 0.0674 loss_kernel: 0.0356 loss_embedding: 0.0161 loss: 0.1190 2022/08/26 16:41:03 - mmengine - INFO - Epoch(train) [177][25/63] lr: 7.3118e-04 eta: 4:06:20 time: 0.5335 data_time: 0.0264 memory: 12277 loss_text: 0.0584 loss_kernel: 0.0348 loss_embedding: 0.0144 loss: 0.1076 2022/08/26 16:41:08 - mmengine - INFO - Epoch(train) [177][30/63] lr: 7.3118e-04 eta: 4:06:19 time: 0.7147 data_time: 0.0292 memory: 12277 loss_text: 0.0562 loss_kernel: 0.0356 loss_embedding: 0.0140 loss: 0.1058 2022/08/26 16:41:11 - mmengine - INFO - Epoch(train) [177][35/63] lr: 7.3118e-04 eta: 4:06:19 time: 0.7348 data_time: 0.0299 memory: 12277 loss_text: 0.0592 loss_kernel: 0.0372 loss_embedding: 0.0170 loss: 0.1134 2022/08/26 16:41:13 - mmengine - INFO - Epoch(train) [177][40/63] lr: 7.3118e-04 eta: 4:06:13 time: 0.5563 data_time: 0.0277 memory: 12277 loss_text: 0.0703 loss_kernel: 0.0423 loss_embedding: 0.0175 loss: 0.1301 2022/08/26 16:41:16 - mmengine - INFO - Epoch(train) [177][45/63] lr: 7.3118e-04 eta: 4:06:13 time: 0.5342 data_time: 0.0317 memory: 12277 loss_text: 0.0752 loss_kernel: 0.0412 loss_embedding: 0.0145 loss: 0.1308 2022/08/26 16:41:19 - mmengine - INFO - Epoch(train) [177][50/63] lr: 7.3118e-04 eta: 4:06:07 time: 0.5336 data_time: 0.0284 memory: 12277 loss_text: 0.0713 loss_kernel: 0.0393 loss_embedding: 0.0147 loss: 0.1253 2022/08/26 16:41:21 - mmengine - INFO - Epoch(train) [177][55/63] lr: 7.3118e-04 eta: 4:06:07 time: 0.5312 data_time: 0.0204 memory: 12277 loss_text: 0.0643 loss_kernel: 0.0389 loss_embedding: 0.0140 loss: 0.1173 2022/08/26 16:41:24 - mmengine - INFO - Epoch(train) [177][60/63] lr: 7.3118e-04 eta: 4:06:01 time: 0.5145 data_time: 0.0215 memory: 12277 loss_text: 0.0588 loss_kernel: 0.0358 loss_embedding: 0.0141 loss: 0.1087 2022/08/26 16:41:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:41:31 - mmengine - INFO - Epoch(train) [178][5/63] lr: 7.2962e-04 eta: 4:06:01 time: 0.7887 data_time: 0.1935 memory: 12277 loss_text: 0.0675 loss_kernel: 0.0347 loss_embedding: 0.0148 loss: 0.1169 2022/08/26 16:41:33 - mmengine - INFO - Epoch(train) [178][10/63] lr: 7.2962e-04 eta: 4:05:53 time: 0.7020 data_time: 0.1999 memory: 12277 loss_text: 0.0621 loss_kernel: 0.0371 loss_embedding: 0.0142 loss: 0.1134 2022/08/26 16:41:36 - mmengine - INFO - Epoch(train) [178][15/63] lr: 7.2962e-04 eta: 4:05:53 time: 0.5286 data_time: 0.0323 memory: 12277 loss_text: 0.0649 loss_kernel: 0.0389 loss_embedding: 0.0196 loss: 0.1234 2022/08/26 16:41:39 - mmengine - INFO - Epoch(train) [178][20/63] lr: 7.2962e-04 eta: 4:05:47 time: 0.5432 data_time: 0.0327 memory: 12277 loss_text: 0.0689 loss_kernel: 0.0418 loss_embedding: 0.0199 loss: 0.1306 2022/08/26 16:41:41 - mmengine - INFO - Epoch(train) [178][25/63] lr: 7.2962e-04 eta: 4:05:47 time: 0.5316 data_time: 0.0318 memory: 12277 loss_text: 0.0694 loss_kernel: 0.0418 loss_embedding: 0.0156 loss: 0.1268 2022/08/26 16:41:44 - mmengine - INFO - Epoch(train) [178][30/63] lr: 7.2962e-04 eta: 4:05:42 time: 0.5727 data_time: 0.0408 memory: 12277 loss_text: 0.0618 loss_kernel: 0.0366 loss_embedding: 0.0157 loss: 0.1141 2022/08/26 16:41:47 - mmengine - INFO - Epoch(train) [178][35/63] lr: 7.2962e-04 eta: 4:05:42 time: 0.5993 data_time: 0.0396 memory: 12277 loss_text: 0.0603 loss_kernel: 0.0362 loss_embedding: 0.0163 loss: 0.1128 2022/08/26 16:41:50 - mmengine - INFO - Epoch(train) [178][40/63] lr: 7.2962e-04 eta: 4:05:37 time: 0.5541 data_time: 0.0258 memory: 12277 loss_text: 0.0594 loss_kernel: 0.0376 loss_embedding: 0.0163 loss: 0.1132 2022/08/26 16:41:53 - mmengine - INFO - Epoch(train) [178][45/63] lr: 7.2962e-04 eta: 4:05:37 time: 0.5480 data_time: 0.0270 memory: 12277 loss_text: 0.0614 loss_kernel: 0.0380 loss_embedding: 0.0159 loss: 0.1153 2022/08/26 16:41:56 - mmengine - INFO - Epoch(train) [178][50/63] lr: 7.2962e-04 eta: 4:05:32 time: 0.5765 data_time: 0.0294 memory: 12277 loss_text: 0.0674 loss_kernel: 0.0365 loss_embedding: 0.0148 loss: 0.1187 2022/08/26 16:41:59 - mmengine - INFO - Epoch(train) [178][55/63] lr: 7.2962e-04 eta: 4:05:32 time: 0.5848 data_time: 0.0345 memory: 12277 loss_text: 0.0663 loss_kernel: 0.0369 loss_embedding: 0.0166 loss: 0.1198 2022/08/26 16:42:01 - mmengine - INFO - Epoch(train) [178][60/63] lr: 7.2962e-04 eta: 4:05:26 time: 0.5659 data_time: 0.0356 memory: 12277 loss_text: 0.0734 loss_kernel: 0.0446 loss_embedding: 0.0171 loss: 0.1351 2022/08/26 16:42:03 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:42:07 - mmengine - INFO - Epoch(train) [179][5/63] lr: 7.2806e-04 eta: 4:05:26 time: 0.7004 data_time: 0.1627 memory: 12277 loss_text: 0.0927 loss_kernel: 0.0498 loss_embedding: 0.0184 loss: 0.1609 2022/08/26 16:42:10 - mmengine - INFO - Epoch(train) [179][10/63] lr: 7.2806e-04 eta: 4:05:19 time: 0.7211 data_time: 0.1754 memory: 12277 loss_text: 0.0759 loss_kernel: 0.0424 loss_embedding: 0.0145 loss: 0.1328 2022/08/26 16:42:13 - mmengine - INFO - Epoch(train) [179][15/63] lr: 7.2806e-04 eta: 4:05:19 time: 0.5451 data_time: 0.0376 memory: 12277 loss_text: 0.0635 loss_kernel: 0.0386 loss_embedding: 0.0150 loss: 0.1171 2022/08/26 16:42:15 - mmengine - INFO - Epoch(train) [179][20/63] lr: 7.2806e-04 eta: 4:05:13 time: 0.5361 data_time: 0.0300 memory: 12277 loss_text: 0.0592 loss_kernel: 0.0381 loss_embedding: 0.0163 loss: 0.1135 2022/08/26 16:42:18 - mmengine - INFO - Epoch(train) [179][25/63] lr: 7.2806e-04 eta: 4:05:13 time: 0.5364 data_time: 0.0274 memory: 12277 loss_text: 0.0570 loss_kernel: 0.0359 loss_embedding: 0.0166 loss: 0.1095 2022/08/26 16:42:21 - mmengine - INFO - Epoch(train) [179][30/63] lr: 7.2806e-04 eta: 4:05:08 time: 0.5546 data_time: 0.0238 memory: 12277 loss_text: 0.0639 loss_kernel: 0.0389 loss_embedding: 0.0188 loss: 0.1215 2022/08/26 16:42:24 - mmengine - INFO - Epoch(train) [179][35/63] lr: 7.2806e-04 eta: 4:05:08 time: 0.5529 data_time: 0.0268 memory: 12277 loss_text: 0.0622 loss_kernel: 0.0398 loss_embedding: 0.0174 loss: 0.1194 2022/08/26 16:42:27 - mmengine - INFO - Epoch(train) [179][40/63] lr: 7.2806e-04 eta: 4:05:03 time: 0.5960 data_time: 0.0341 memory: 12277 loss_text: 0.0593 loss_kernel: 0.0391 loss_embedding: 0.0134 loss: 0.1119 2022/08/26 16:42:29 - mmengine - INFO - Epoch(train) [179][45/63] lr: 7.2806e-04 eta: 4:05:03 time: 0.5801 data_time: 0.0323 memory: 12277 loss_text: 0.0626 loss_kernel: 0.0397 loss_embedding: 0.0119 loss: 0.1142 2022/08/26 16:42:32 - mmengine - INFO - Epoch(train) [179][50/63] lr: 7.2806e-04 eta: 4:04:57 time: 0.5198 data_time: 0.0230 memory: 12277 loss_text: 0.0636 loss_kernel: 0.0390 loss_embedding: 0.0120 loss: 0.1147 2022/08/26 16:42:35 - mmengine - INFO - Epoch(train) [179][55/63] lr: 7.2806e-04 eta: 4:04:57 time: 0.5229 data_time: 0.0246 memory: 12277 loss_text: 0.0672 loss_kernel: 0.0405 loss_embedding: 0.0133 loss: 0.1211 2022/08/26 16:42:37 - mmengine - INFO - Epoch(train) [179][60/63] lr: 7.2806e-04 eta: 4:04:50 time: 0.5184 data_time: 0.0251 memory: 12277 loss_text: 0.0688 loss_kernel: 0.0419 loss_embedding: 0.0135 loss: 0.1242 2022/08/26 16:42:39 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:42:43 - mmengine - INFO - Epoch(train) [180][5/63] lr: 7.2651e-04 eta: 4:04:50 time: 0.6643 data_time: 0.1554 memory: 12277 loss_text: 0.0607 loss_kernel: 0.0381 loss_embedding: 0.0116 loss: 0.1105 2022/08/26 16:42:46 - mmengine - INFO - Epoch(train) [180][10/63] lr: 7.2651e-04 eta: 4:04:42 time: 0.6590 data_time: 0.1576 memory: 12277 loss_text: 0.0527 loss_kernel: 0.0334 loss_embedding: 0.0107 loss: 0.0968 2022/08/26 16:42:48 - mmengine - INFO - Epoch(train) [180][15/63] lr: 7.2651e-04 eta: 4:04:42 time: 0.5345 data_time: 0.0298 memory: 12277 loss_text: 0.0569 loss_kernel: 0.0349 loss_embedding: 0.0130 loss: 0.1047 2022/08/26 16:42:51 - mmengine - INFO - Epoch(train) [180][20/63] lr: 7.2651e-04 eta: 4:04:36 time: 0.5416 data_time: 0.0245 memory: 12277 loss_text: 0.0661 loss_kernel: 0.0382 loss_embedding: 0.0150 loss: 0.1192 2022/08/26 16:42:54 - mmengine - INFO - Epoch(train) [180][25/63] lr: 7.2651e-04 eta: 4:04:36 time: 0.5621 data_time: 0.0221 memory: 12277 loss_text: 0.0690 loss_kernel: 0.0395 loss_embedding: 0.0145 loss: 0.1230 2022/08/26 16:42:58 - mmengine - INFO - Epoch(train) [180][30/63] lr: 7.2651e-04 eta: 4:04:33 time: 0.6840 data_time: 0.0302 memory: 12277 loss_text: 0.0592 loss_kernel: 0.0374 loss_embedding: 0.0137 loss: 0.1102 2022/08/26 16:43:01 - mmengine - INFO - Epoch(train) [180][35/63] lr: 7.2651e-04 eta: 4:04:33 time: 0.6651 data_time: 0.0352 memory: 12277 loss_text: 0.0558 loss_kernel: 0.0362 loss_embedding: 0.0136 loss: 0.1056 2022/08/26 16:43:03 - mmengine - INFO - Epoch(train) [180][40/63] lr: 7.2651e-04 eta: 4:04:27 time: 0.5197 data_time: 0.0272 memory: 12277 loss_text: 0.0618 loss_kernel: 0.0386 loss_embedding: 0.0123 loss: 0.1127 2022/08/26 16:43:06 - mmengine - INFO - Epoch(train) [180][45/63] lr: 7.2651e-04 eta: 4:04:27 time: 0.5347 data_time: 0.0242 memory: 12277 loss_text: 0.0632 loss_kernel: 0.0388 loss_embedding: 0.0122 loss: 0.1142 2022/08/26 16:43:09 - mmengine - INFO - Epoch(train) [180][50/63] lr: 7.2651e-04 eta: 4:04:22 time: 0.5643 data_time: 0.0314 memory: 12277 loss_text: 0.0573 loss_kernel: 0.0364 loss_embedding: 0.0156 loss: 0.1093 2022/08/26 16:43:12 - mmengine - INFO - Epoch(train) [180][55/63] lr: 7.2651e-04 eta: 4:04:22 time: 0.5607 data_time: 0.0298 memory: 12277 loss_text: 0.0624 loss_kernel: 0.0394 loss_embedding: 0.0140 loss: 0.1158 2022/08/26 16:43:14 - mmengine - INFO - Epoch(train) [180][60/63] lr: 7.2651e-04 eta: 4:04:16 time: 0.5638 data_time: 0.0252 memory: 12277 loss_text: 0.0635 loss_kernel: 0.0405 loss_embedding: 0.0130 loss: 0.1170 2022/08/26 16:43:16 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:43:16 - mmengine - INFO - Saving checkpoint at 180 epochs 2022/08/26 16:43:22 - mmengine - INFO - Epoch(val) [180][5/500] eta: 4:04:16 time: 0.0339 data_time: 0.0046 memory: 12277 2022/08/26 16:43:22 - mmengine - INFO - Epoch(val) [180][10/500] eta: 0:00:17 time: 0.0356 data_time: 0.0044 memory: 497 2022/08/26 16:43:22 - mmengine - INFO - Epoch(val) [180][15/500] eta: 0:00:17 time: 0.0260 data_time: 0.0017 memory: 539 2022/08/26 16:43:22 - mmengine - INFO - Epoch(val) [180][20/500] eta: 0:00:12 time: 0.0262 data_time: 0.0017 memory: 497 2022/08/26 16:43:22 - mmengine - INFO - Epoch(val) [180][25/500] eta: 0:00:12 time: 0.0223 data_time: 0.0017 memory: 505 2022/08/26 16:43:22 - mmengine - INFO - Epoch(val) [180][30/500] eta: 0:00:08 time: 0.0186 data_time: 0.0016 memory: 516 2022/08/26 16:43:23 - mmengine - INFO - Epoch(val) [180][35/500] eta: 0:00:08 time: 0.0202 data_time: 0.0017 memory: 497 2022/08/26 16:43:23 - mmengine - INFO - Epoch(val) [180][40/500] eta: 0:00:09 time: 0.0214 data_time: 0.0018 memory: 497 2022/08/26 16:43:23 - mmengine - INFO - Epoch(val) [180][45/500] eta: 0:00:09 time: 0.0195 data_time: 0.0018 memory: 480 2022/08/26 16:43:23 - mmengine - INFO - Epoch(val) [180][50/500] eta: 0:00:08 time: 0.0195 data_time: 0.0018 memory: 539 2022/08/26 16:43:23 - mmengine - INFO - Epoch(val) [180][55/500] eta: 0:00:08 time: 0.0197 data_time: 0.0016 memory: 561 2022/08/26 16:43:23 - mmengine - INFO - Epoch(val) [180][60/500] eta: 0:00:08 time: 0.0193 data_time: 0.0015 memory: 497 2022/08/26 16:43:23 - mmengine - INFO - Epoch(val) [180][65/500] eta: 0:00:08 time: 0.0197 data_time: 0.0014 memory: 597 2022/08/26 16:43:23 - mmengine - INFO - Epoch(val) [180][70/500] eta: 0:00:07 time: 0.0174 data_time: 0.0014 memory: 497 2022/08/26 16:43:23 - mmengine - INFO - Epoch(val) [180][75/500] eta: 0:00:07 time: 0.0190 data_time: 0.0014 memory: 556 2022/08/26 16:43:23 - mmengine - INFO - Epoch(val) [180][80/500] eta: 0:00:08 time: 0.0198 data_time: 0.0015 memory: 497 2022/08/26 16:43:24 - mmengine - INFO - Epoch(val) [180][85/500] eta: 0:00:08 time: 0.0196 data_time: 0.0019 memory: 564 2022/08/26 16:43:24 - mmengine - INFO - Epoch(val) [180][90/500] eta: 0:00:08 time: 0.0211 data_time: 0.0019 memory: 522 2022/08/26 16:43:24 - mmengine - INFO - Epoch(val) [180][95/500] eta: 0:00:08 time: 0.0252 data_time: 0.0051 memory: 756 2022/08/26 16:43:24 - mmengine - INFO - Epoch(val) [180][100/500] eta: 0:00:10 time: 0.0261 data_time: 0.0047 memory: 572 2022/08/26 16:43:24 - mmengine - INFO - Epoch(val) [180][105/500] eta: 0:00:10 time: 0.0217 data_time: 0.0012 memory: 539 2022/08/26 16:43:24 - mmengine - INFO - Epoch(val) [180][110/500] eta: 0:00:07 time: 0.0193 data_time: 0.0018 memory: 497 2022/08/26 16:43:24 - mmengine - INFO - Epoch(val) [180][115/500] eta: 0:00:07 time: 0.0185 data_time: 0.0020 memory: 497 2022/08/26 16:43:24 - mmengine - INFO - Epoch(val) [180][120/500] eta: 0:00:09 time: 0.0242 data_time: 0.0020 memory: 530 2022/08/26 16:43:24 - mmengine - INFO - Epoch(val) [180][125/500] eta: 0:00:09 time: 0.0270 data_time: 0.0020 memory: 497 2022/08/26 16:43:25 - mmengine - INFO - Epoch(val) [180][130/500] eta: 0:00:08 time: 0.0230 data_time: 0.0019 memory: 539 2022/08/26 16:43:25 - mmengine - INFO - Epoch(val) [180][135/500] eta: 0:00:08 time: 0.0198 data_time: 0.0021 memory: 497 2022/08/26 16:43:25 - mmengine - INFO - Epoch(val) [180][140/500] eta: 0:00:07 time: 0.0206 data_time: 0.0018 memory: 480 2022/08/26 16:43:25 - mmengine - INFO - Epoch(val) [180][145/500] eta: 0:00:07 time: 0.0215 data_time: 0.0019 memory: 751 2022/08/26 16:43:25 - mmengine - INFO - Epoch(val) [180][150/500] eta: 0:00:07 time: 0.0210 data_time: 0.0019 memory: 464 2022/08/26 16:43:25 - mmengine - INFO - Epoch(val) [180][155/500] eta: 0:00:07 time: 0.0215 data_time: 0.0017 memory: 516 2022/08/26 16:43:25 - mmengine - INFO - Epoch(val) [180][160/500] eta: 0:00:06 time: 0.0202 data_time: 0.0016 memory: 539 2022/08/26 16:43:26 - mmengine - INFO - Epoch(val) [180][165/500] eta: 0:00:06 time: 0.0393 data_time: 0.0021 memory: 497 2022/08/26 16:43:26 - mmengine - INFO - Epoch(val) [180][170/500] eta: 0:00:13 time: 0.0397 data_time: 0.0023 memory: 514 2022/08/26 16:43:26 - mmengine - INFO - Epoch(val) [180][175/500] eta: 0:00:13 time: 0.0171 data_time: 0.0018 memory: 539 2022/08/26 16:43:26 - mmengine - INFO - Epoch(val) [180][180/500] eta: 0:00:05 time: 0.0167 data_time: 0.0016 memory: 539 2022/08/26 16:43:26 - mmengine - INFO - Epoch(val) [180][185/500] eta: 0:00:05 time: 0.0172 data_time: 0.0015 memory: 489 2022/08/26 16:43:26 - mmengine - INFO - Epoch(val) [180][190/500] eta: 0:00:05 time: 0.0174 data_time: 0.0015 memory: 516 2022/08/26 16:43:26 - mmengine - INFO - Epoch(val) [180][195/500] eta: 0:00:05 time: 0.0197 data_time: 0.0018 memory: 516 2022/08/26 16:43:26 - mmengine - INFO - Epoch(val) [180][200/500] eta: 0:00:06 time: 0.0203 data_time: 0.0021 memory: 516 2022/08/26 16:43:26 - mmengine - INFO - Epoch(val) [180][205/500] eta: 0:00:06 time: 0.0212 data_time: 0.0022 memory: 664 2022/08/26 16:43:26 - mmengine - INFO - Epoch(val) [180][210/500] eta: 0:00:05 time: 0.0203 data_time: 0.0019 memory: 497 2022/08/26 16:43:26 - mmengine - INFO - Epoch(val) [180][215/500] eta: 0:00:05 time: 0.0212 data_time: 0.0017 memory: 514 2022/08/26 16:43:27 - mmengine - INFO - Epoch(val) [180][220/500] eta: 0:00:06 time: 0.0233 data_time: 0.0018 memory: 572 2022/08/26 16:43:27 - mmengine - INFO - Epoch(val) [180][225/500] eta: 0:00:06 time: 0.0197 data_time: 0.0017 memory: 497 2022/08/26 16:43:27 - mmengine - INFO - Epoch(val) [180][230/500] eta: 0:00:07 time: 0.0270 data_time: 0.0018 memory: 507 2022/08/26 16:43:27 - mmengine - INFO - Epoch(val) [180][235/500] eta: 0:00:07 time: 0.0331 data_time: 0.0021 memory: 497 2022/08/26 16:43:27 - mmengine - INFO - Epoch(val) [180][240/500] eta: 0:00:06 time: 0.0259 data_time: 0.0020 memory: 497 2022/08/26 16:43:27 - mmengine - INFO - Epoch(val) [180][245/500] eta: 0:00:06 time: 0.0217 data_time: 0.0021 memory: 648 2022/08/26 16:43:27 - mmengine - INFO - Epoch(val) [180][250/500] eta: 0:00:05 time: 0.0217 data_time: 0.0022 memory: 497 2022/08/26 16:43:28 - mmengine - INFO - Epoch(val) [180][255/500] eta: 0:00:05 time: 0.0369 data_time: 0.0022 memory: 543 2022/08/26 16:43:28 - mmengine - INFO - Epoch(val) [180][260/500] eta: 0:00:08 time: 0.0339 data_time: 0.0020 memory: 516 2022/08/26 16:43:28 - mmengine - INFO - Epoch(val) [180][265/500] eta: 0:00:08 time: 0.0174 data_time: 0.0016 memory: 622 2022/08/26 16:43:28 - mmengine - INFO - Epoch(val) [180][270/500] eta: 0:00:04 time: 0.0179 data_time: 0.0016 memory: 505 2022/08/26 16:43:28 - mmengine - INFO - Epoch(val) [180][275/500] eta: 0:00:04 time: 0.0224 data_time: 0.0017 memory: 539 2022/08/26 16:43:28 - mmengine - INFO - Epoch(val) [180][280/500] eta: 0:00:04 time: 0.0215 data_time: 0.0018 memory: 473 2022/08/26 16:43:28 - mmengine - INFO - Epoch(val) [180][285/500] eta: 0:00:04 time: 0.0185 data_time: 0.0019 memory: 481 2022/08/26 16:43:28 - mmengine - INFO - Epoch(val) [180][290/500] eta: 0:00:04 time: 0.0208 data_time: 0.0020 memory: 464 2022/08/26 16:43:28 - mmengine - INFO - Epoch(val) [180][295/500] eta: 0:00:04 time: 0.0186 data_time: 0.0017 memory: 489 2022/08/26 16:43:28 - mmengine - INFO - Epoch(val) [180][300/500] eta: 0:00:03 time: 0.0181 data_time: 0.0015 memory: 497 2022/08/26 16:43:29 - mmengine - INFO - Epoch(val) [180][305/500] eta: 0:00:03 time: 0.0182 data_time: 0.0017 memory: 597 2022/08/26 16:43:29 - mmengine - INFO - Epoch(val) [180][310/500] eta: 0:00:03 time: 0.0167 data_time: 0.0017 memory: 606 2022/08/26 16:43:29 - mmengine - INFO - Epoch(val) [180][315/500] eta: 0:00:03 time: 0.0184 data_time: 0.0015 memory: 539 2022/08/26 16:43:29 - mmengine - INFO - Epoch(val) [180][320/500] eta: 0:00:03 time: 0.0213 data_time: 0.0016 memory: 499 2022/08/26 16:43:29 - mmengine - INFO - Epoch(val) [180][325/500] eta: 0:00:03 time: 0.0184 data_time: 0.0016 memory: 497 2022/08/26 16:43:29 - mmengine - INFO - Epoch(val) [180][330/500] eta: 0:00:02 time: 0.0170 data_time: 0.0017 memory: 497 2022/08/26 16:43:29 - mmengine - INFO - Epoch(val) [180][335/500] eta: 0:00:02 time: 0.0225 data_time: 0.0019 memory: 497 2022/08/26 16:43:29 - mmengine - INFO - Epoch(val) [180][340/500] eta: 0:00:03 time: 0.0245 data_time: 0.0019 memory: 522 2022/08/26 16:43:29 - mmengine - INFO - Epoch(val) [180][345/500] eta: 0:00:03 time: 0.0220 data_time: 0.0019 memory: 572 2022/08/26 16:43:29 - mmengine - INFO - Epoch(val) [180][350/500] eta: 0:00:03 time: 0.0209 data_time: 0.0017 memory: 499 2022/08/26 16:43:30 - mmengine - INFO - Epoch(val) [180][355/500] eta: 0:00:03 time: 0.0249 data_time: 0.0016 memory: 525 2022/08/26 16:43:30 - mmengine - INFO - Epoch(val) [180][360/500] eta: 0:00:03 time: 0.0229 data_time: 0.0016 memory: 525 2022/08/26 16:43:30 - mmengine - INFO - Epoch(val) [180][365/500] eta: 0:00:03 time: 0.0207 data_time: 0.0017 memory: 707 2022/08/26 16:43:30 - mmengine - INFO - Epoch(val) [180][370/500] eta: 0:00:02 time: 0.0197 data_time: 0.0017 memory: 539 2022/08/26 16:43:30 - mmengine - INFO - Epoch(val) [180][375/500] eta: 0:00:02 time: 0.0172 data_time: 0.0017 memory: 765 2022/08/26 16:43:30 - mmengine - INFO - Epoch(val) [180][380/500] eta: 0:00:02 time: 0.0191 data_time: 0.0018 memory: 572 2022/08/26 16:43:30 - mmengine - INFO - Epoch(val) [180][385/500] eta: 0:00:02 time: 0.0169 data_time: 0.0016 memory: 497 2022/08/26 16:43:30 - mmengine - INFO - Epoch(val) [180][390/500] eta: 0:00:01 time: 0.0167 data_time: 0.0016 memory: 539 2022/08/26 16:43:30 - mmengine - INFO - Epoch(val) [180][395/500] eta: 0:00:01 time: 0.0244 data_time: 0.0017 memory: 489 2022/08/26 16:43:31 - mmengine - INFO - Epoch(val) [180][400/500] eta: 0:00:02 time: 0.0249 data_time: 0.0019 memory: 497 2022/08/26 16:43:31 - mmengine - INFO - Epoch(val) [180][405/500] eta: 0:00:02 time: 0.0173 data_time: 0.0019 memory: 497 2022/08/26 16:43:31 - mmengine - INFO - Epoch(val) [180][410/500] eta: 0:00:01 time: 0.0164 data_time: 0.0017 memory: 497 2022/08/26 16:43:31 - mmengine - INFO - Epoch(val) [180][415/500] eta: 0:00:01 time: 0.0193 data_time: 0.0017 memory: 497 2022/08/26 16:43:31 - mmengine - INFO - Epoch(val) [180][420/500] eta: 0:00:01 time: 0.0215 data_time: 0.0017 memory: 497 2022/08/26 16:43:31 - mmengine - INFO - Epoch(val) [180][425/500] eta: 0:00:01 time: 0.0211 data_time: 0.0017 memory: 489 2022/08/26 16:43:31 - mmengine - INFO - Epoch(val) [180][430/500] eta: 0:00:01 time: 0.0183 data_time: 0.0018 memory: 516 2022/08/26 16:43:31 - mmengine - INFO - Epoch(val) [180][435/500] eta: 0:00:01 time: 0.0187 data_time: 0.0018 memory: 681 2022/08/26 16:43:31 - mmengine - INFO - Epoch(val) [180][440/500] eta: 0:00:01 time: 0.0198 data_time: 0.0017 memory: 539 2022/08/26 16:43:31 - mmengine - INFO - Epoch(val) [180][445/500] eta: 0:00:01 time: 0.0171 data_time: 0.0017 memory: 489 2022/08/26 16:43:31 - mmengine - INFO - Epoch(val) [180][450/500] eta: 0:00:00 time: 0.0158 data_time: 0.0017 memory: 507 2022/08/26 16:43:32 - mmengine - INFO - Epoch(val) [180][455/500] eta: 0:00:00 time: 0.0172 data_time: 0.0017 memory: 606 2022/08/26 16:43:32 - mmengine - INFO - Epoch(val) [180][460/500] eta: 0:00:00 time: 0.0167 data_time: 0.0017 memory: 499 2022/08/26 16:43:32 - mmengine - INFO - Epoch(val) [180][465/500] eta: 0:00:00 time: 0.0230 data_time: 0.0017 memory: 539 2022/08/26 16:43:32 - mmengine - INFO - Epoch(val) [180][470/500] eta: 0:00:00 time: 0.0251 data_time: 0.0019 memory: 516 2022/08/26 16:43:32 - mmengine - INFO - Epoch(val) [180][475/500] eta: 0:00:00 time: 0.0193 data_time: 0.0020 memory: 507 2022/08/26 16:43:32 - mmengine - INFO - Epoch(val) [180][480/500] eta: 0:00:00 time: 0.0191 data_time: 0.0019 memory: 464 2022/08/26 16:43:32 - mmengine - INFO - Epoch(val) [180][485/500] eta: 0:00:00 time: 0.0197 data_time: 0.0020 memory: 497 2022/08/26 16:43:32 - mmengine - INFO - Epoch(val) [180][490/500] eta: 0:00:00 time: 0.0184 data_time: 0.0021 memory: 497 2022/08/26 16:43:32 - mmengine - INFO - Epoch(val) [180][495/500] eta: 0:00:00 time: 0.0178 data_time: 0.0022 memory: 480 2022/08/26 16:43:32 - mmengine - INFO - Epoch(val) [180][500/500] eta: 0:00:00 time: 0.0215 data_time: 0.0027 memory: 522 2022/08/26 16:43:32 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 16:43:33 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7457, precision: 0.6798, hmean: 0.7112 2022/08/26 16:43:33 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7457, precision: 0.6798, hmean: 0.7112 2022/08/26 16:43:33 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7457, precision: 0.6798, hmean: 0.7112 2022/08/26 16:43:33 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7457, precision: 0.6798, hmean: 0.7112 2022/08/26 16:43:33 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7457, precision: 0.6798, hmean: 0.7112 2022/08/26 16:43:33 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7457, precision: 0.6814, hmean: 0.7121 2022/08/26 16:43:33 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7457, precision: 0.6917, hmean: 0.7177 2022/08/26 16:43:33 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7447, precision: 0.7172, hmean: 0.7307 2022/08/26 16:43:33 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7418, precision: 0.7391, hmean: 0.7405 2022/08/26 16:43:33 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7392, precision: 0.7684, hmean: 0.7535 2022/08/26 16:43:33 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7314, precision: 0.7925, hmean: 0.7607 2022/08/26 16:43:33 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7197, precision: 0.8157, hmean: 0.7647 2022/08/26 16:43:33 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6732, precision: 0.8381, hmean: 0.7466 2022/08/26 16:43:33 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.4033, precision: 0.8870, hmean: 0.5544 2022/08/26 16:43:33 - mmengine - INFO - Epoch(val) [180][500/500] icdar/precision: 0.8157 icdar/recall: 0.7197 icdar/hmean: 0.7647 2022/08/26 16:43:37 - mmengine - INFO - Epoch(train) [181][5/63] lr: 7.2495e-04 eta: 0:00:00 time: 0.7397 data_time: 0.1710 memory: 12277 loss_text: 0.0648 loss_kernel: 0.0417 loss_embedding: 0.0161 loss: 0.1226 2022/08/26 16:43:40 - mmengine - INFO - Epoch(train) [181][10/63] lr: 7.2495e-04 eta: 4:04:09 time: 0.7270 data_time: 0.1803 memory: 12277 loss_text: 0.0675 loss_kernel: 0.0428 loss_embedding: 0.0153 loss: 0.1256 2022/08/26 16:43:43 - mmengine - INFO - Epoch(train) [181][15/63] lr: 7.2495e-04 eta: 4:04:09 time: 0.5507 data_time: 0.0362 memory: 12277 loss_text: 0.0742 loss_kernel: 0.0429 loss_embedding: 0.0147 loss: 0.1318 2022/08/26 16:43:46 - mmengine - INFO - Epoch(train) [181][20/63] lr: 7.2495e-04 eta: 4:04:04 time: 0.5615 data_time: 0.0263 memory: 12277 loss_text: 0.0694 loss_kernel: 0.0393 loss_embedding: 0.0148 loss: 0.1235 2022/08/26 16:43:49 - mmengine - INFO - Epoch(train) [181][25/63] lr: 7.2495e-04 eta: 4:04:04 time: 0.6087 data_time: 0.0315 memory: 12277 loss_text: 0.0556 loss_kernel: 0.0342 loss_embedding: 0.0129 loss: 0.1026 2022/08/26 16:43:51 - mmengine - INFO - Epoch(train) [181][30/63] lr: 7.2495e-04 eta: 4:03:59 time: 0.5923 data_time: 0.0333 memory: 12277 loss_text: 0.0612 loss_kernel: 0.0358 loss_embedding: 0.0123 loss: 0.1093 2022/08/26 16:43:54 - mmengine - INFO - Epoch(train) [181][35/63] lr: 7.2495e-04 eta: 4:03:59 time: 0.5533 data_time: 0.0304 memory: 12277 loss_text: 0.0612 loss_kernel: 0.0357 loss_embedding: 0.0145 loss: 0.1114 2022/08/26 16:43:57 - mmengine - INFO - Epoch(train) [181][40/63] lr: 7.2495e-04 eta: 4:03:54 time: 0.5597 data_time: 0.0310 memory: 12277 loss_text: 0.0617 loss_kernel: 0.0399 loss_embedding: 0.0154 loss: 0.1169 2022/08/26 16:44:00 - mmengine - INFO - Epoch(train) [181][45/63] lr: 7.2495e-04 eta: 4:03:54 time: 0.5834 data_time: 0.0311 memory: 12277 loss_text: 0.0700 loss_kernel: 0.0425 loss_embedding: 0.0148 loss: 0.1273 2022/08/26 16:44:03 - mmengine - INFO - Epoch(train) [181][50/63] lr: 7.2495e-04 eta: 4:03:49 time: 0.5564 data_time: 0.0270 memory: 12277 loss_text: 0.0639 loss_kernel: 0.0406 loss_embedding: 0.0141 loss: 0.1186 2022/08/26 16:44:06 - mmengine - INFO - Epoch(train) [181][55/63] lr: 7.2495e-04 eta: 4:03:49 time: 0.5625 data_time: 0.0272 memory: 12277 loss_text: 0.0563 loss_kernel: 0.0390 loss_embedding: 0.0137 loss: 0.1090 2022/08/26 16:44:09 - mmengine - INFO - Epoch(train) [181][60/63] lr: 7.2495e-04 eta: 4:03:45 time: 0.6456 data_time: 0.0354 memory: 12277 loss_text: 0.0656 loss_kernel: 0.0381 loss_embedding: 0.0132 loss: 0.1169 2022/08/26 16:44:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:44:15 - mmengine - INFO - Epoch(train) [182][5/63] lr: 7.2339e-04 eta: 4:03:45 time: 0.7036 data_time: 0.1987 memory: 12277 loss_text: 0.0624 loss_kernel: 0.0395 loss_embedding: 0.0152 loss: 0.1171 2022/08/26 16:44:18 - mmengine - INFO - Epoch(train) [182][10/63] lr: 7.2339e-04 eta: 4:03:39 time: 0.7500 data_time: 0.2080 memory: 12277 loss_text: 0.0704 loss_kernel: 0.0400 loss_embedding: 0.0167 loss: 0.1271 2022/08/26 16:44:21 - mmengine - INFO - Epoch(train) [182][15/63] lr: 7.2339e-04 eta: 4:03:39 time: 0.5448 data_time: 0.0352 memory: 12277 loss_text: 0.0702 loss_kernel: 0.0401 loss_embedding: 0.0135 loss: 0.1239 2022/08/26 16:44:23 - mmengine - INFO - Epoch(train) [182][20/63] lr: 7.2339e-04 eta: 4:03:33 time: 0.5307 data_time: 0.0291 memory: 12277 loss_text: 0.0639 loss_kernel: 0.0390 loss_embedding: 0.0127 loss: 0.1155 2022/08/26 16:44:27 - mmengine - INFO - Epoch(train) [182][25/63] lr: 7.2339e-04 eta: 4:03:33 time: 0.6039 data_time: 0.0273 memory: 12277 loss_text: 0.0620 loss_kernel: 0.0385 loss_embedding: 0.0138 loss: 0.1143 2022/08/26 16:44:30 - mmengine - INFO - Epoch(train) [182][30/63] lr: 7.2339e-04 eta: 4:03:29 time: 0.6289 data_time: 0.0342 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0366 loss_embedding: 0.0142 loss: 0.1073 2022/08/26 16:44:32 - mmengine - INFO - Epoch(train) [182][35/63] lr: 7.2339e-04 eta: 4:03:29 time: 0.5493 data_time: 0.0369 memory: 12277 loss_text: 0.0518 loss_kernel: 0.0338 loss_embedding: 0.0137 loss: 0.0994 2022/08/26 16:44:35 - mmengine - INFO - Epoch(train) [182][40/63] lr: 7.2339e-04 eta: 4:03:23 time: 0.5274 data_time: 0.0285 memory: 12277 loss_text: 0.0596 loss_kernel: 0.0381 loss_embedding: 0.0158 loss: 0.1135 2022/08/26 16:44:38 - mmengine - INFO - Epoch(train) [182][45/63] lr: 7.2339e-04 eta: 4:03:23 time: 0.5492 data_time: 0.0255 memory: 12277 loss_text: 0.0620 loss_kernel: 0.0401 loss_embedding: 0.0145 loss: 0.1167 2022/08/26 16:44:40 - mmengine - INFO - Epoch(train) [182][50/63] lr: 7.2339e-04 eta: 4:03:17 time: 0.5440 data_time: 0.0252 memory: 12277 loss_text: 0.0597 loss_kernel: 0.0364 loss_embedding: 0.0116 loss: 0.1077 2022/08/26 16:44:43 - mmengine - INFO - Epoch(train) [182][55/63] lr: 7.2339e-04 eta: 4:03:17 time: 0.5357 data_time: 0.0282 memory: 12277 loss_text: 0.0598 loss_kernel: 0.0361 loss_embedding: 0.0122 loss: 0.1081 2022/08/26 16:44:47 - mmengine - INFO - Epoch(train) [182][60/63] lr: 7.2339e-04 eta: 4:03:13 time: 0.6261 data_time: 0.0271 memory: 12277 loss_text: 0.0644 loss_kernel: 0.0357 loss_embedding: 0.0134 loss: 0.1135 2022/08/26 16:44:48 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:44:52 - mmengine - INFO - Epoch(train) [183][5/63] lr: 7.2184e-04 eta: 4:03:13 time: 0.7305 data_time: 0.1579 memory: 12277 loss_text: 0.0728 loss_kernel: 0.0390 loss_embedding: 0.0146 loss: 0.1264 2022/08/26 16:44:55 - mmengine - INFO - Epoch(train) [183][10/63] lr: 7.2184e-04 eta: 4:03:04 time: 0.6422 data_time: 0.1536 memory: 12277 loss_text: 0.0694 loss_kernel: 0.0369 loss_embedding: 0.0138 loss: 0.1200 2022/08/26 16:44:57 - mmengine - INFO - Epoch(train) [183][15/63] lr: 7.2184e-04 eta: 4:03:04 time: 0.5243 data_time: 0.0344 memory: 12277 loss_text: 0.0724 loss_kernel: 0.0392 loss_embedding: 0.0153 loss: 0.1268 2022/08/26 16:45:00 - mmengine - INFO - Epoch(train) [183][20/63] lr: 7.2184e-04 eta: 4:02:58 time: 0.5405 data_time: 0.0339 memory: 12277 loss_text: 0.0730 loss_kernel: 0.0432 loss_embedding: 0.0172 loss: 0.1335 2022/08/26 16:45:03 - mmengine - INFO - Epoch(train) [183][25/63] lr: 7.2184e-04 eta: 4:02:58 time: 0.5227 data_time: 0.0287 memory: 12277 loss_text: 0.0726 loss_kernel: 0.0408 loss_embedding: 0.0156 loss: 0.1290 2022/08/26 16:45:05 - mmengine - INFO - Epoch(train) [183][30/63] lr: 7.2184e-04 eta: 4:02:52 time: 0.5216 data_time: 0.0291 memory: 12277 loss_text: 0.0763 loss_kernel: 0.0387 loss_embedding: 0.0153 loss: 0.1303 2022/08/26 16:45:08 - mmengine - INFO - Epoch(train) [183][35/63] lr: 7.2184e-04 eta: 4:02:52 time: 0.5688 data_time: 0.0290 memory: 12277 loss_text: 0.0712 loss_kernel: 0.0398 loss_embedding: 0.0168 loss: 0.1278 2022/08/26 16:45:11 - mmengine - INFO - Epoch(train) [183][40/63] lr: 7.2184e-04 eta: 4:02:46 time: 0.5567 data_time: 0.0255 memory: 12277 loss_text: 0.0748 loss_kernel: 0.0412 loss_embedding: 0.0151 loss: 0.1311 2022/08/26 16:45:14 - mmengine - INFO - Epoch(train) [183][45/63] lr: 7.2184e-04 eta: 4:02:46 time: 0.5348 data_time: 0.0239 memory: 12277 loss_text: 0.0762 loss_kernel: 0.0398 loss_embedding: 0.0145 loss: 0.1306 2022/08/26 16:45:17 - mmengine - INFO - Epoch(train) [183][50/63] lr: 7.2184e-04 eta: 4:02:41 time: 0.5750 data_time: 0.0296 memory: 12277 loss_text: 0.0579 loss_kernel: 0.0352 loss_embedding: 0.0146 loss: 0.1077 2022/08/26 16:45:19 - mmengine - INFO - Epoch(train) [183][55/63] lr: 7.2184e-04 eta: 4:02:41 time: 0.5602 data_time: 0.0302 memory: 12277 loss_text: 0.0592 loss_kernel: 0.0374 loss_embedding: 0.0138 loss: 0.1104 2022/08/26 16:45:22 - mmengine - INFO - Epoch(train) [183][60/63] lr: 7.2184e-04 eta: 4:02:35 time: 0.5327 data_time: 0.0274 memory: 12277 loss_text: 0.0635 loss_kernel: 0.0400 loss_embedding: 0.0159 loss: 0.1194 2022/08/26 16:45:23 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:45:28 - mmengine - INFO - Epoch(train) [184][5/63] lr: 7.2028e-04 eta: 4:02:35 time: 0.6795 data_time: 0.1497 memory: 12277 loss_text: 0.0580 loss_kernel: 0.0399 loss_embedding: 0.0156 loss: 0.1135 2022/08/26 16:45:30 - mmengine - INFO - Epoch(train) [184][10/63] lr: 7.2028e-04 eta: 4:02:27 time: 0.6705 data_time: 0.1524 memory: 12277 loss_text: 0.0544 loss_kernel: 0.0378 loss_embedding: 0.0130 loss: 0.1052 2022/08/26 16:45:33 - mmengine - INFO - Epoch(train) [184][15/63] lr: 7.2028e-04 eta: 4:02:27 time: 0.4823 data_time: 0.0256 memory: 12277 loss_text: 0.0585 loss_kernel: 0.0367 loss_embedding: 0.0110 loss: 0.1062 2022/08/26 16:45:35 - mmengine - INFO - Epoch(train) [184][20/63] lr: 7.2028e-04 eta: 4:02:20 time: 0.4964 data_time: 0.0237 memory: 12277 loss_text: 0.0718 loss_kernel: 0.0419 loss_embedding: 0.0138 loss: 0.1275 2022/08/26 16:45:39 - mmengine - INFO - Epoch(train) [184][25/63] lr: 7.2028e-04 eta: 4:02:20 time: 0.6390 data_time: 0.0337 memory: 12277 loss_text: 0.0749 loss_kernel: 0.0407 loss_embedding: 0.0168 loss: 0.1324 2022/08/26 16:45:42 - mmengine - INFO - Epoch(train) [184][30/63] lr: 7.2028e-04 eta: 4:02:17 time: 0.6514 data_time: 0.0416 memory: 12277 loss_text: 0.0686 loss_kernel: 0.0367 loss_embedding: 0.0147 loss: 0.1201 2022/08/26 16:45:44 - mmengine - INFO - Epoch(train) [184][35/63] lr: 7.2028e-04 eta: 4:02:17 time: 0.5526 data_time: 0.0313 memory: 12277 loss_text: 0.0646 loss_kernel: 0.0359 loss_embedding: 0.0128 loss: 0.1134 2022/08/26 16:45:47 - mmengine - INFO - Epoch(train) [184][40/63] lr: 7.2028e-04 eta: 4:02:12 time: 0.5710 data_time: 0.0248 memory: 12277 loss_text: 0.0685 loss_kernel: 0.0391 loss_embedding: 0.0135 loss: 0.1212 2022/08/26 16:45:50 - mmengine - INFO - Epoch(train) [184][45/63] lr: 7.2028e-04 eta: 4:02:12 time: 0.5377 data_time: 0.0242 memory: 12277 loss_text: 0.0718 loss_kernel: 0.0417 loss_embedding: 0.0138 loss: 0.1272 2022/08/26 16:45:53 - mmengine - INFO - Epoch(train) [184][50/63] lr: 7.2028e-04 eta: 4:02:05 time: 0.5273 data_time: 0.0270 memory: 12277 loss_text: 0.0680 loss_kernel: 0.0404 loss_embedding: 0.0145 loss: 0.1230 2022/08/26 16:45:55 - mmengine - INFO - Epoch(train) [184][55/63] lr: 7.2028e-04 eta: 4:02:05 time: 0.5274 data_time: 0.0260 memory: 12277 loss_text: 0.0621 loss_kernel: 0.0375 loss_embedding: 0.0157 loss: 0.1153 2022/08/26 16:45:59 - mmengine - INFO - Epoch(train) [184][60/63] lr: 7.2028e-04 eta: 4:02:02 time: 0.6300 data_time: 0.0299 memory: 12277 loss_text: 0.0583 loss_kernel: 0.0363 loss_embedding: 0.0150 loss: 0.1096 2022/08/26 16:46:00 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:46:04 - mmengine - INFO - Epoch(train) [185][5/63] lr: 7.1872e-04 eta: 4:02:02 time: 0.6389 data_time: 0.1525 memory: 12277 loss_text: 0.0579 loss_kernel: 0.0376 loss_embedding: 0.0156 loss: 0.1112 2022/08/26 16:46:07 - mmengine - INFO - Epoch(train) [185][10/63] lr: 7.1872e-04 eta: 4:01:54 time: 0.6833 data_time: 0.1612 memory: 12277 loss_text: 0.0637 loss_kernel: 0.0393 loss_embedding: 0.0145 loss: 0.1175 2022/08/26 16:46:09 - mmengine - INFO - Epoch(train) [185][15/63] lr: 7.1872e-04 eta: 4:01:54 time: 0.5238 data_time: 0.0273 memory: 12277 loss_text: 0.0899 loss_kernel: 0.0498 loss_embedding: 0.0139 loss: 0.1536 2022/08/26 16:46:12 - mmengine - INFO - Epoch(train) [185][20/63] lr: 7.1872e-04 eta: 4:01:47 time: 0.5188 data_time: 0.0182 memory: 12277 loss_text: 0.0849 loss_kernel: 0.0474 loss_embedding: 0.0140 loss: 0.1462 2022/08/26 16:46:15 - mmengine - INFO - Epoch(train) [185][25/63] lr: 7.1872e-04 eta: 4:01:47 time: 0.5474 data_time: 0.0243 memory: 12277 loss_text: 0.0722 loss_kernel: 0.0420 loss_embedding: 0.0143 loss: 0.1285 2022/08/26 16:46:19 - mmengine - INFO - Epoch(train) [185][30/63] lr: 7.1872e-04 eta: 4:01:44 time: 0.6368 data_time: 0.0332 memory: 12277 loss_text: 0.0768 loss_kernel: 0.0458 loss_embedding: 0.0150 loss: 0.1375 2022/08/26 16:46:21 - mmengine - INFO - Epoch(train) [185][35/63] lr: 7.1872e-04 eta: 4:01:44 time: 0.6370 data_time: 0.0310 memory: 12277 loss_text: 0.0795 loss_kernel: 0.0477 loss_embedding: 0.0142 loss: 0.1414 2022/08/26 16:46:24 - mmengine - INFO - Epoch(train) [185][40/63] lr: 7.1872e-04 eta: 4:01:37 time: 0.5278 data_time: 0.0218 memory: 12277 loss_text: 0.0752 loss_kernel: 0.0438 loss_embedding: 0.0134 loss: 0.1324 2022/08/26 16:46:26 - mmengine - INFO - Epoch(train) [185][45/63] lr: 7.1872e-04 eta: 4:01:37 time: 0.5171 data_time: 0.0222 memory: 12277 loss_text: 0.0568 loss_kernel: 0.0352 loss_embedding: 0.0134 loss: 0.1054 2022/08/26 16:46:29 - mmengine - INFO - Epoch(train) [185][50/63] lr: 7.1872e-04 eta: 4:01:31 time: 0.5276 data_time: 0.0281 memory: 12277 loss_text: 0.0531 loss_kernel: 0.0352 loss_embedding: 0.0124 loss: 0.1008 2022/08/26 16:46:32 - mmengine - INFO - Epoch(train) [185][55/63] lr: 7.1872e-04 eta: 4:01:31 time: 0.5347 data_time: 0.0296 memory: 12277 loss_text: 0.0551 loss_kernel: 0.0362 loss_embedding: 0.0115 loss: 0.1029 2022/08/26 16:46:34 - mmengine - INFO - Epoch(train) [185][60/63] lr: 7.1872e-04 eta: 4:01:25 time: 0.5147 data_time: 0.0232 memory: 12277 loss_text: 0.0563 loss_kernel: 0.0357 loss_embedding: 0.0111 loss: 0.1032 2022/08/26 16:46:36 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:46:40 - mmengine - INFO - Epoch(train) [186][5/63] lr: 7.1716e-04 eta: 4:01:25 time: 0.6771 data_time: 0.1892 memory: 12277 loss_text: 0.0762 loss_kernel: 0.0426 loss_embedding: 0.0148 loss: 0.1336 2022/08/26 16:46:43 - mmengine - INFO - Epoch(train) [186][10/63] lr: 7.1716e-04 eta: 4:01:17 time: 0.6834 data_time: 0.1911 memory: 12277 loss_text: 0.0849 loss_kernel: 0.0463 loss_embedding: 0.0161 loss: 0.1474 2022/08/26 16:46:45 - mmengine - INFO - Epoch(train) [186][15/63] lr: 7.1716e-04 eta: 4:01:17 time: 0.5410 data_time: 0.0271 memory: 12277 loss_text: 0.0749 loss_kernel: 0.0430 loss_embedding: 0.0180 loss: 0.1359 2022/08/26 16:46:48 - mmengine - INFO - Epoch(train) [186][20/63] lr: 7.1716e-04 eta: 4:01:12 time: 0.5776 data_time: 0.0297 memory: 12277 loss_text: 0.0709 loss_kernel: 0.0404 loss_embedding: 0.0165 loss: 0.1278 2022/08/26 16:46:51 - mmengine - INFO - Epoch(train) [186][25/63] lr: 7.1716e-04 eta: 4:01:12 time: 0.5701 data_time: 0.0443 memory: 12277 loss_text: 0.0623 loss_kernel: 0.0373 loss_embedding: 0.0139 loss: 0.1135 2022/08/26 16:46:54 - mmengine - INFO - Epoch(train) [186][30/63] lr: 7.1716e-04 eta: 4:01:07 time: 0.5681 data_time: 0.0518 memory: 12277 loss_text: 0.0640 loss_kernel: 0.0375 loss_embedding: 0.0140 loss: 0.1154 2022/08/26 16:46:57 - mmengine - INFO - Epoch(train) [186][35/63] lr: 7.1716e-04 eta: 4:01:07 time: 0.5960 data_time: 0.0438 memory: 12277 loss_text: 0.0634 loss_kernel: 0.0360 loss_embedding: 0.0127 loss: 0.1120 2022/08/26 16:47:00 - mmengine - INFO - Epoch(train) [186][40/63] lr: 7.1716e-04 eta: 4:01:02 time: 0.5791 data_time: 0.0383 memory: 12277 loss_text: 0.0621 loss_kernel: 0.0345 loss_embedding: 0.0146 loss: 0.1113 2022/08/26 16:47:03 - mmengine - INFO - Epoch(train) [186][45/63] lr: 7.1716e-04 eta: 4:01:02 time: 0.5447 data_time: 0.0296 memory: 12277 loss_text: 0.0591 loss_kernel: 0.0346 loss_embedding: 0.0154 loss: 0.1091 2022/08/26 16:47:05 - mmengine - INFO - Epoch(train) [186][50/63] lr: 7.1716e-04 eta: 4:00:56 time: 0.5693 data_time: 0.0567 memory: 12277 loss_text: 0.0658 loss_kernel: 0.0359 loss_embedding: 0.0137 loss: 0.1154 2022/08/26 16:47:09 - mmengine - INFO - Epoch(train) [186][55/63] lr: 7.1716e-04 eta: 4:00:56 time: 0.6183 data_time: 0.0592 memory: 12277 loss_text: 0.0727 loss_kernel: 0.0401 loss_embedding: 0.0154 loss: 0.1282 2022/08/26 16:47:12 - mmengine - INFO - Epoch(train) [186][60/63] lr: 7.1716e-04 eta: 4:00:52 time: 0.6057 data_time: 0.0315 memory: 12277 loss_text: 0.0733 loss_kernel: 0.0427 loss_embedding: 0.0165 loss: 0.1325 2022/08/26 16:47:13 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:47:18 - mmengine - INFO - Epoch(train) [187][5/63] lr: 7.1560e-04 eta: 4:00:52 time: 0.7141 data_time: 0.2096 memory: 12277 loss_text: 0.0806 loss_kernel: 0.0422 loss_embedding: 0.0140 loss: 0.1368 2022/08/26 16:47:20 - mmengine - INFO - Epoch(train) [187][10/63] lr: 7.1560e-04 eta: 4:00:45 time: 0.7409 data_time: 0.2150 memory: 12277 loss_text: 0.0628 loss_kernel: 0.0363 loss_embedding: 0.0154 loss: 0.1145 2022/08/26 16:47:23 - mmengine - INFO - Epoch(train) [187][15/63] lr: 7.1560e-04 eta: 4:00:45 time: 0.5454 data_time: 0.0281 memory: 12277 loss_text: 0.0694 loss_kernel: 0.0402 loss_embedding: 0.0160 loss: 0.1256 2022/08/26 16:47:26 - mmengine - INFO - Epoch(train) [187][20/63] lr: 7.1560e-04 eta: 4:00:39 time: 0.5411 data_time: 0.0308 memory: 12277 loss_text: 0.0682 loss_kernel: 0.0395 loss_embedding: 0.0139 loss: 0.1216 2022/08/26 16:47:28 - mmengine - INFO - Epoch(train) [187][25/63] lr: 7.1560e-04 eta: 4:00:39 time: 0.5377 data_time: 0.0352 memory: 12277 loss_text: 0.0641 loss_kernel: 0.0384 loss_embedding: 0.0139 loss: 0.1163 2022/08/26 16:47:31 - mmengine - INFO - Epoch(train) [187][30/63] lr: 7.1560e-04 eta: 4:00:33 time: 0.5166 data_time: 0.0283 memory: 12277 loss_text: 0.0819 loss_kernel: 0.0445 loss_embedding: 0.0154 loss: 0.1418 2022/08/26 16:47:34 - mmengine - INFO - Epoch(train) [187][35/63] lr: 7.1560e-04 eta: 4:00:33 time: 0.5443 data_time: 0.0242 memory: 12277 loss_text: 0.0712 loss_kernel: 0.0408 loss_embedding: 0.0127 loss: 0.1246 2022/08/26 16:47:36 - mmengine - INFO - Epoch(train) [187][40/63] lr: 7.1560e-04 eta: 4:00:28 time: 0.5566 data_time: 0.0328 memory: 12277 loss_text: 0.0642 loss_kernel: 0.0388 loss_embedding: 0.0130 loss: 0.1160 2022/08/26 16:47:39 - mmengine - INFO - Epoch(train) [187][45/63] lr: 7.1560e-04 eta: 4:00:28 time: 0.5414 data_time: 0.0383 memory: 12277 loss_text: 0.0768 loss_kernel: 0.0409 loss_embedding: 0.0151 loss: 0.1327 2022/08/26 16:47:42 - mmengine - INFO - Epoch(train) [187][50/63] lr: 7.1560e-04 eta: 4:00:22 time: 0.5492 data_time: 0.0417 memory: 12277 loss_text: 0.0715 loss_kernel: 0.0378 loss_embedding: 0.0162 loss: 0.1256 2022/08/26 16:47:45 - mmengine - INFO - Epoch(train) [187][55/63] lr: 7.1560e-04 eta: 4:00:22 time: 0.5759 data_time: 0.0442 memory: 12277 loss_text: 0.0682 loss_kernel: 0.0409 loss_embedding: 0.0177 loss: 0.1268 2022/08/26 16:47:48 - mmengine - INFO - Epoch(train) [187][60/63] lr: 7.1560e-04 eta: 4:00:17 time: 0.5798 data_time: 0.0411 memory: 12277 loss_text: 0.0725 loss_kernel: 0.0432 loss_embedding: 0.0156 loss: 0.1313 2022/08/26 16:47:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:47:53 - mmengine - INFO - Epoch(train) [188][5/63] lr: 7.1404e-04 eta: 4:00:17 time: 0.6536 data_time: 0.1764 memory: 12277 loss_text: 0.0740 loss_kernel: 0.0460 loss_embedding: 0.0133 loss: 0.1333 2022/08/26 16:47:56 - mmengine - INFO - Epoch(train) [188][10/63] lr: 7.1404e-04 eta: 4:00:10 time: 0.7333 data_time: 0.1919 memory: 12277 loss_text: 0.0739 loss_kernel: 0.0450 loss_embedding: 0.0125 loss: 0.1314 2022/08/26 16:47:59 - mmengine - INFO - Epoch(train) [188][15/63] lr: 7.1404e-04 eta: 4:00:10 time: 0.5935 data_time: 0.0549 memory: 12277 loss_text: 0.0720 loss_kernel: 0.0450 loss_embedding: 0.0154 loss: 0.1324 2022/08/26 16:48:02 - mmengine - INFO - Epoch(train) [188][20/63] lr: 7.1404e-04 eta: 4:00:04 time: 0.5469 data_time: 0.0397 memory: 12277 loss_text: 0.0880 loss_kernel: 0.0493 loss_embedding: 0.0147 loss: 0.1521 2022/08/26 16:48:05 - mmengine - INFO - Epoch(train) [188][25/63] lr: 7.1404e-04 eta: 4:00:04 time: 0.5395 data_time: 0.0339 memory: 12277 loss_text: 0.0791 loss_kernel: 0.0452 loss_embedding: 0.0128 loss: 0.1370 2022/08/26 16:48:07 - mmengine - INFO - Epoch(train) [188][30/63] lr: 7.1404e-04 eta: 3:59:58 time: 0.5397 data_time: 0.0448 memory: 12277 loss_text: 0.0590 loss_kernel: 0.0383 loss_embedding: 0.0126 loss: 0.1099 2022/08/26 16:48:10 - mmengine - INFO - Epoch(train) [188][35/63] lr: 7.1404e-04 eta: 3:59:58 time: 0.5277 data_time: 0.0462 memory: 12277 loss_text: 0.0626 loss_kernel: 0.0391 loss_embedding: 0.0126 loss: 0.1143 2022/08/26 16:48:13 - mmengine - INFO - Epoch(train) [188][40/63] lr: 7.1404e-04 eta: 3:59:52 time: 0.5253 data_time: 0.0352 memory: 12277 loss_text: 0.0638 loss_kernel: 0.0399 loss_embedding: 0.0140 loss: 0.1177 2022/08/26 16:48:15 - mmengine - INFO - Epoch(train) [188][45/63] lr: 7.1404e-04 eta: 3:59:52 time: 0.5430 data_time: 0.0318 memory: 12277 loss_text: 0.0615 loss_kernel: 0.0403 loss_embedding: 0.0140 loss: 0.1157 2022/08/26 16:48:20 - mmengine - INFO - Epoch(train) [188][50/63] lr: 7.1404e-04 eta: 3:59:50 time: 0.6975 data_time: 0.0344 memory: 12277 loss_text: 0.0684 loss_kernel: 0.0430 loss_embedding: 0.0143 loss: 0.1258 2022/08/26 16:48:22 - mmengine - INFO - Epoch(train) [188][55/63] lr: 7.1404e-04 eta: 3:59:50 time: 0.7006 data_time: 0.0512 memory: 12277 loss_text: 0.0676 loss_kernel: 0.0403 loss_embedding: 0.0182 loss: 0.1261 2022/08/26 16:48:25 - mmengine - INFO - Epoch(train) [188][60/63] lr: 7.1404e-04 eta: 3:59:44 time: 0.5359 data_time: 0.0433 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0359 loss_embedding: 0.0167 loss: 0.1092 2022/08/26 16:48:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:48:31 - mmengine - INFO - Epoch(train) [189][5/63] lr: 7.1248e-04 eta: 3:59:44 time: 0.6673 data_time: 0.1770 memory: 12277 loss_text: 0.0743 loss_kernel: 0.0453 loss_embedding: 0.0149 loss: 0.1345 2022/08/26 16:48:33 - mmengine - INFO - Epoch(train) [189][10/63] lr: 7.1248e-04 eta: 3:59:37 time: 0.7121 data_time: 0.1923 memory: 12277 loss_text: 0.0655 loss_kernel: 0.0431 loss_embedding: 0.0133 loss: 0.1218 2022/08/26 16:48:36 - mmengine - INFO - Epoch(train) [189][15/63] lr: 7.1248e-04 eta: 3:59:37 time: 0.5462 data_time: 0.0371 memory: 12277 loss_text: 0.0523 loss_kernel: 0.0356 loss_embedding: 0.0107 loss: 0.0987 2022/08/26 16:48:39 - mmengine - INFO - Epoch(train) [189][20/63] lr: 7.1248e-04 eta: 3:59:31 time: 0.5336 data_time: 0.0263 memory: 12277 loss_text: 0.0578 loss_kernel: 0.0384 loss_embedding: 0.0123 loss: 0.1085 2022/08/26 16:48:42 - mmengine - INFO - Epoch(train) [189][25/63] lr: 7.1248e-04 eta: 3:59:31 time: 0.5422 data_time: 0.0324 memory: 12277 loss_text: 0.0634 loss_kernel: 0.0388 loss_embedding: 0.0158 loss: 0.1180 2022/08/26 16:48:44 - mmengine - INFO - Epoch(train) [189][30/63] lr: 7.1248e-04 eta: 3:59:25 time: 0.5619 data_time: 0.0486 memory: 12277 loss_text: 0.0587 loss_kernel: 0.0349 loss_embedding: 0.0163 loss: 0.1100 2022/08/26 16:48:47 - mmengine - INFO - Epoch(train) [189][35/63] lr: 7.1248e-04 eta: 3:59:25 time: 0.5606 data_time: 0.0519 memory: 12277 loss_text: 0.0585 loss_kernel: 0.0356 loss_embedding: 0.0150 loss: 0.1090 2022/08/26 16:48:50 - mmengine - INFO - Epoch(train) [189][40/63] lr: 7.1248e-04 eta: 3:59:19 time: 0.5290 data_time: 0.0346 memory: 12277 loss_text: 0.0623 loss_kernel: 0.0370 loss_embedding: 0.0145 loss: 0.1138 2022/08/26 16:48:53 - mmengine - INFO - Epoch(train) [189][45/63] lr: 7.1248e-04 eta: 3:59:19 time: 0.5384 data_time: 0.0317 memory: 12277 loss_text: 0.0603 loss_kernel: 0.0405 loss_embedding: 0.0147 loss: 0.1155 2022/08/26 16:48:55 - mmengine - INFO - Epoch(train) [189][50/63] lr: 7.1248e-04 eta: 3:59:14 time: 0.5662 data_time: 0.0473 memory: 12277 loss_text: 0.0625 loss_kernel: 0.0407 loss_embedding: 0.0138 loss: 0.1170 2022/08/26 16:48:58 - mmengine - INFO - Epoch(train) [189][55/63] lr: 7.1248e-04 eta: 3:59:14 time: 0.5711 data_time: 0.0473 memory: 12277 loss_text: 0.0662 loss_kernel: 0.0376 loss_embedding: 0.0122 loss: 0.1160 2022/08/26 16:49:01 - mmengine - INFO - Epoch(train) [189][60/63] lr: 7.1248e-04 eta: 3:59:08 time: 0.5595 data_time: 0.0315 memory: 12277 loss_text: 0.0669 loss_kernel: 0.0366 loss_embedding: 0.0127 loss: 0.1162 2022/08/26 16:49:02 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:49:07 - mmengine - INFO - Epoch(train) [190][5/63] lr: 7.1092e-04 eta: 3:59:08 time: 0.6887 data_time: 0.1505 memory: 12277 loss_text: 0.0725 loss_kernel: 0.0408 loss_embedding: 0.0160 loss: 0.1293 2022/08/26 16:49:10 - mmengine - INFO - Epoch(train) [190][10/63] lr: 7.1092e-04 eta: 3:59:02 time: 0.7378 data_time: 0.1810 memory: 12277 loss_text: 0.0674 loss_kernel: 0.0414 loss_embedding: 0.0152 loss: 0.1240 2022/08/26 16:49:12 - mmengine - INFO - Epoch(train) [190][15/63] lr: 7.1092e-04 eta: 3:59:02 time: 0.5544 data_time: 0.0549 memory: 12277 loss_text: 0.0760 loss_kernel: 0.0429 loss_embedding: 0.0129 loss: 0.1318 2022/08/26 16:49:15 - mmengine - INFO - Epoch(train) [190][20/63] lr: 7.1092e-04 eta: 3:58:55 time: 0.5135 data_time: 0.0266 memory: 12277 loss_text: 0.0757 loss_kernel: 0.0422 loss_embedding: 0.0149 loss: 0.1328 2022/08/26 16:49:18 - mmengine - INFO - Epoch(train) [190][25/63] lr: 7.1092e-04 eta: 3:58:55 time: 0.5762 data_time: 0.0323 memory: 12277 loss_text: 0.0628 loss_kernel: 0.0378 loss_embedding: 0.0162 loss: 0.1168 2022/08/26 16:49:21 - mmengine - INFO - Epoch(train) [190][30/63] lr: 7.1092e-04 eta: 3:58:51 time: 0.6112 data_time: 0.0479 memory: 12277 loss_text: 0.0625 loss_kernel: 0.0375 loss_embedding: 0.0145 loss: 0.1145 2022/08/26 16:49:24 - mmengine - INFO - Epoch(train) [190][35/63] lr: 7.1092e-04 eta: 3:58:51 time: 0.5508 data_time: 0.0478 memory: 12277 loss_text: 0.0642 loss_kernel: 0.0387 loss_embedding: 0.0146 loss: 0.1176 2022/08/26 16:49:26 - mmengine - INFO - Epoch(train) [190][40/63] lr: 7.1092e-04 eta: 3:58:45 time: 0.5465 data_time: 0.0352 memory: 12277 loss_text: 0.0678 loss_kernel: 0.0382 loss_embedding: 0.0150 loss: 0.1211 2022/08/26 16:49:29 - mmengine - INFO - Epoch(train) [190][45/63] lr: 7.1092e-04 eta: 3:58:45 time: 0.5584 data_time: 0.0349 memory: 12277 loss_text: 0.0617 loss_kernel: 0.0356 loss_embedding: 0.0148 loss: 0.1121 2022/08/26 16:49:32 - mmengine - INFO - Epoch(train) [190][50/63] lr: 7.1092e-04 eta: 3:58:40 time: 0.5627 data_time: 0.0474 memory: 12277 loss_text: 0.0531 loss_kernel: 0.0346 loss_embedding: 0.0143 loss: 0.1020 2022/08/26 16:49:35 - mmengine - INFO - Epoch(train) [190][55/63] lr: 7.1092e-04 eta: 3:58:40 time: 0.5549 data_time: 0.0458 memory: 12277 loss_text: 0.0580 loss_kernel: 0.0341 loss_embedding: 0.0125 loss: 0.1046 2022/08/26 16:49:39 - mmengine - INFO - Epoch(train) [190][60/63] lr: 7.1092e-04 eta: 3:58:37 time: 0.6613 data_time: 0.0369 memory: 12277 loss_text: 0.0645 loss_kernel: 0.0360 loss_embedding: 0.0131 loss: 0.1135 2022/08/26 16:49:40 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:49:45 - mmengine - INFO - Epoch(train) [191][5/63] lr: 7.0936e-04 eta: 3:58:37 time: 0.7020 data_time: 0.1926 memory: 12277 loss_text: 0.0564 loss_kernel: 0.0384 loss_embedding: 0.0152 loss: 0.1100 2022/08/26 16:49:47 - mmengine - INFO - Epoch(train) [191][10/63] lr: 7.0936e-04 eta: 3:58:29 time: 0.7143 data_time: 0.2032 memory: 12277 loss_text: 0.0578 loss_kernel: 0.0366 loss_embedding: 0.0135 loss: 0.1078 2022/08/26 16:49:50 - mmengine - INFO - Epoch(train) [191][15/63] lr: 7.0936e-04 eta: 3:58:29 time: 0.5694 data_time: 0.0534 memory: 12277 loss_text: 0.0605 loss_kernel: 0.0371 loss_embedding: 0.0153 loss: 0.1129 2022/08/26 16:49:53 - mmengine - INFO - Epoch(train) [191][20/63] lr: 7.0936e-04 eta: 3:58:24 time: 0.5718 data_time: 0.0449 memory: 12277 loss_text: 0.0735 loss_kernel: 0.0432 loss_embedding: 0.0148 loss: 0.1315 2022/08/26 16:49:56 - mmengine - INFO - Epoch(train) [191][25/63] lr: 7.0936e-04 eta: 3:58:24 time: 0.5747 data_time: 0.0498 memory: 12277 loss_text: 0.0682 loss_kernel: 0.0424 loss_embedding: 0.0111 loss: 0.1216 2022/08/26 16:49:59 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:49:59 - mmengine - INFO - Epoch(train) [191][30/63] lr: 7.0936e-04 eta: 3:58:19 time: 0.5562 data_time: 0.0465 memory: 12277 loss_text: 0.0548 loss_kernel: 0.0358 loss_embedding: 0.0110 loss: 0.1016 2022/08/26 16:50:01 - mmengine - INFO - Epoch(train) [191][35/63] lr: 7.0936e-04 eta: 3:58:19 time: 0.5550 data_time: 0.0381 memory: 12277 loss_text: 0.0590 loss_kernel: 0.0373 loss_embedding: 0.0129 loss: 0.1092 2022/08/26 16:50:04 - mmengine - INFO - Epoch(train) [191][40/63] lr: 7.0936e-04 eta: 3:58:13 time: 0.5488 data_time: 0.0337 memory: 12277 loss_text: 0.0731 loss_kernel: 0.0428 loss_embedding: 0.0171 loss: 0.1330 2022/08/26 16:50:08 - mmengine - INFO - Epoch(train) [191][45/63] lr: 7.0936e-04 eta: 3:58:13 time: 0.6104 data_time: 0.0408 memory: 12277 loss_text: 0.0694 loss_kernel: 0.0421 loss_embedding: 0.0167 loss: 0.1282 2022/08/26 16:50:10 - mmengine - INFO - Epoch(train) [191][50/63] lr: 7.0936e-04 eta: 3:58:09 time: 0.6201 data_time: 0.0488 memory: 12277 loss_text: 0.0534 loss_kernel: 0.0345 loss_embedding: 0.0134 loss: 0.1013 2022/08/26 16:50:13 - mmengine - INFO - Epoch(train) [191][55/63] lr: 7.0936e-04 eta: 3:58:09 time: 0.5462 data_time: 0.0418 memory: 12277 loss_text: 0.0572 loss_kernel: 0.0347 loss_embedding: 0.0160 loss: 0.1078 2022/08/26 16:50:16 - mmengine - INFO - Epoch(train) [191][60/63] lr: 7.0936e-04 eta: 3:58:03 time: 0.5322 data_time: 0.0298 memory: 12277 loss_text: 0.0680 loss_kernel: 0.0385 loss_embedding: 0.0170 loss: 0.1235 2022/08/26 16:50:17 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:50:23 - mmengine - INFO - Epoch(train) [192][5/63] lr: 7.0780e-04 eta: 3:58:03 time: 0.8483 data_time: 0.2555 memory: 12277 loss_text: 0.0626 loss_kernel: 0.0378 loss_embedding: 0.0134 loss: 0.1138 2022/08/26 16:50:26 - mmengine - INFO - Epoch(train) [192][10/63] lr: 7.0780e-04 eta: 3:57:59 time: 0.8706 data_time: 0.2616 memory: 12277 loss_text: 0.0608 loss_kernel: 0.0370 loss_embedding: 0.0154 loss: 0.1131 2022/08/26 16:50:29 - mmengine - INFO - Epoch(train) [192][15/63] lr: 7.0780e-04 eta: 3:57:59 time: 0.5608 data_time: 0.0566 memory: 12277 loss_text: 0.0623 loss_kernel: 0.0382 loss_embedding: 0.0147 loss: 0.1152 2022/08/26 16:50:32 - mmengine - INFO - Epoch(train) [192][20/63] lr: 7.0780e-04 eta: 3:57:53 time: 0.5588 data_time: 0.0464 memory: 12277 loss_text: 0.0573 loss_kernel: 0.0371 loss_embedding: 0.0138 loss: 0.1082 2022/08/26 16:50:34 - mmengine - INFO - Epoch(train) [192][25/63] lr: 7.0780e-04 eta: 3:57:53 time: 0.5579 data_time: 0.0387 memory: 12277 loss_text: 0.0603 loss_kernel: 0.0376 loss_embedding: 0.0137 loss: 0.1115 2022/08/26 16:50:38 - mmengine - INFO - Epoch(train) [192][30/63] lr: 7.0780e-04 eta: 3:57:49 time: 0.6007 data_time: 0.0508 memory: 12277 loss_text: 0.0591 loss_kernel: 0.0367 loss_embedding: 0.0121 loss: 0.1079 2022/08/26 16:50:40 - mmengine - INFO - Epoch(train) [192][35/63] lr: 7.0780e-04 eta: 3:57:49 time: 0.5948 data_time: 0.0486 memory: 12277 loss_text: 0.0582 loss_kernel: 0.0362 loss_embedding: 0.0124 loss: 0.1069 2022/08/26 16:50:43 - mmengine - INFO - Epoch(train) [192][40/63] lr: 7.0780e-04 eta: 3:57:43 time: 0.5328 data_time: 0.0377 memory: 12277 loss_text: 0.0568 loss_kernel: 0.0352 loss_embedding: 0.0148 loss: 0.1068 2022/08/26 16:50:46 - mmengine - INFO - Epoch(train) [192][45/63] lr: 7.0780e-04 eta: 3:57:43 time: 0.5272 data_time: 0.0305 memory: 12277 loss_text: 0.0541 loss_kernel: 0.0352 loss_embedding: 0.0139 loss: 0.1032 2022/08/26 16:50:48 - mmengine - INFO - Epoch(train) [192][50/63] lr: 7.0780e-04 eta: 3:57:37 time: 0.5392 data_time: 0.0415 memory: 12277 loss_text: 0.0554 loss_kernel: 0.0359 loss_embedding: 0.0136 loss: 0.1048 2022/08/26 16:50:51 - mmengine - INFO - Epoch(train) [192][55/63] lr: 7.0780e-04 eta: 3:57:37 time: 0.5543 data_time: 0.0554 memory: 12277 loss_text: 0.0547 loss_kernel: 0.0374 loss_embedding: 0.0142 loss: 0.1063 2022/08/26 16:50:54 - mmengine - INFO - Epoch(train) [192][60/63] lr: 7.0780e-04 eta: 3:57:31 time: 0.5577 data_time: 0.0459 memory: 12277 loss_text: 0.0590 loss_kernel: 0.0373 loss_embedding: 0.0141 loss: 0.1104 2022/08/26 16:50:55 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:51:00 - mmengine - INFO - Epoch(train) [193][5/63] lr: 7.0624e-04 eta: 3:57:31 time: 0.7386 data_time: 0.2117 memory: 12277 loss_text: 0.0687 loss_kernel: 0.0431 loss_embedding: 0.0168 loss: 0.1286 2022/08/26 16:51:03 - mmengine - INFO - Epoch(train) [193][10/63] lr: 7.0624e-04 eta: 3:57:25 time: 0.7766 data_time: 0.2289 memory: 12277 loss_text: 0.0679 loss_kernel: 0.0446 loss_embedding: 0.0139 loss: 0.1264 2022/08/26 16:51:06 - mmengine - INFO - Epoch(train) [193][15/63] lr: 7.0624e-04 eta: 3:57:25 time: 0.5544 data_time: 0.0497 memory: 12277 loss_text: 0.0695 loss_kernel: 0.0425 loss_embedding: 0.0134 loss: 0.1254 2022/08/26 16:51:09 - mmengine - INFO - Epoch(train) [193][20/63] lr: 7.0624e-04 eta: 3:57:20 time: 0.5517 data_time: 0.0334 memory: 12277 loss_text: 0.0632 loss_kernel: 0.0386 loss_embedding: 0.0137 loss: 0.1155 2022/08/26 16:51:11 - mmengine - INFO - Epoch(train) [193][25/63] lr: 7.0624e-04 eta: 3:57:20 time: 0.5447 data_time: 0.0339 memory: 12277 loss_text: 0.0607 loss_kernel: 0.0364 loss_embedding: 0.0143 loss: 0.1113 2022/08/26 16:51:14 - mmengine - INFO - Epoch(train) [193][30/63] lr: 7.0624e-04 eta: 3:57:14 time: 0.5390 data_time: 0.0500 memory: 12277 loss_text: 0.0611 loss_kernel: 0.0373 loss_embedding: 0.0137 loss: 0.1120 2022/08/26 16:51:17 - mmengine - INFO - Epoch(train) [193][35/63] lr: 7.0624e-04 eta: 3:57:14 time: 0.6057 data_time: 0.0726 memory: 12277 loss_text: 0.0573 loss_kernel: 0.0354 loss_embedding: 0.0137 loss: 0.1063 2022/08/26 16:51:20 - mmengine - INFO - Epoch(train) [193][40/63] lr: 7.0624e-04 eta: 3:57:10 time: 0.6282 data_time: 0.0653 memory: 12277 loss_text: 0.0645 loss_kernel: 0.0376 loss_embedding: 0.0149 loss: 0.1170 2022/08/26 16:51:23 - mmengine - INFO - Epoch(train) [193][45/63] lr: 7.0624e-04 eta: 3:57:10 time: 0.5414 data_time: 0.0385 memory: 12277 loss_text: 0.0707 loss_kernel: 0.0407 loss_embedding: 0.0144 loss: 0.1258 2022/08/26 16:51:25 - mmengine - INFO - Epoch(train) [193][50/63] lr: 7.0624e-04 eta: 3:57:04 time: 0.5241 data_time: 0.0463 memory: 12277 loss_text: 0.0671 loss_kernel: 0.0396 loss_embedding: 0.0131 loss: 0.1199 2022/08/26 16:51:28 - mmengine - INFO - Epoch(train) [193][55/63] lr: 7.0624e-04 eta: 3:57:04 time: 0.5455 data_time: 0.0516 memory: 12277 loss_text: 0.0678 loss_kernel: 0.0389 loss_embedding: 0.0123 loss: 0.1191 2022/08/26 16:51:31 - mmengine - INFO - Epoch(train) [193][60/63] lr: 7.0624e-04 eta: 3:56:58 time: 0.5257 data_time: 0.0365 memory: 12277 loss_text: 0.0645 loss_kernel: 0.0407 loss_embedding: 0.0123 loss: 0.1174 2022/08/26 16:51:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:51:37 - mmengine - INFO - Epoch(train) [194][5/63] lr: 7.0468e-04 eta: 3:56:58 time: 0.6847 data_time: 0.1530 memory: 12277 loss_text: 0.0578 loss_kernel: 0.0341 loss_embedding: 0.0135 loss: 0.1055 2022/08/26 16:51:40 - mmengine - INFO - Epoch(train) [194][10/63] lr: 7.0468e-04 eta: 3:56:52 time: 0.8099 data_time: 0.1803 memory: 12277 loss_text: 0.0645 loss_kernel: 0.0361 loss_embedding: 0.0146 loss: 0.1152 2022/08/26 16:51:43 - mmengine - INFO - Epoch(train) [194][15/63] lr: 7.0468e-04 eta: 3:56:52 time: 0.6222 data_time: 0.0560 memory: 12277 loss_text: 0.0565 loss_kernel: 0.0347 loss_embedding: 0.0136 loss: 0.1048 2022/08/26 16:51:45 - mmengine - INFO - Epoch(train) [194][20/63] lr: 7.0468e-04 eta: 3:56:46 time: 0.5124 data_time: 0.0302 memory: 12277 loss_text: 0.0508 loss_kernel: 0.0320 loss_embedding: 0.0110 loss: 0.0939 2022/08/26 16:51:48 - mmengine - INFO - Epoch(train) [194][25/63] lr: 7.0468e-04 eta: 3:56:46 time: 0.5258 data_time: 0.0341 memory: 12277 loss_text: 0.0663 loss_kernel: 0.0393 loss_embedding: 0.0115 loss: 0.1170 2022/08/26 16:51:51 - mmengine - INFO - Epoch(train) [194][30/63] lr: 7.0468e-04 eta: 3:56:40 time: 0.5566 data_time: 0.0466 memory: 12277 loss_text: 0.0672 loss_kernel: 0.0414 loss_embedding: 0.0131 loss: 0.1216 2022/08/26 16:51:54 - mmengine - INFO - Epoch(train) [194][35/63] lr: 7.0468e-04 eta: 3:56:40 time: 0.5599 data_time: 0.0417 memory: 12277 loss_text: 0.0616 loss_kernel: 0.0373 loss_embedding: 0.0130 loss: 0.1120 2022/08/26 16:51:57 - mmengine - INFO - Epoch(train) [194][40/63] lr: 7.0468e-04 eta: 3:56:35 time: 0.5595 data_time: 0.0286 memory: 12277 loss_text: 0.0585 loss_kernel: 0.0380 loss_embedding: 0.0115 loss: 0.1079 2022/08/26 16:51:59 - mmengine - INFO - Epoch(train) [194][45/63] lr: 7.0468e-04 eta: 3:56:35 time: 0.5625 data_time: 0.0376 memory: 12277 loss_text: 0.0532 loss_kernel: 0.0368 loss_embedding: 0.0135 loss: 0.1034 2022/08/26 16:52:02 - mmengine - INFO - Epoch(train) [194][50/63] lr: 7.0468e-04 eta: 3:56:29 time: 0.5439 data_time: 0.0465 memory: 12277 loss_text: 0.0593 loss_kernel: 0.0361 loss_embedding: 0.0156 loss: 0.1110 2022/08/26 16:52:05 - mmengine - INFO - Epoch(train) [194][55/63] lr: 7.0468e-04 eta: 3:56:29 time: 0.5295 data_time: 0.0383 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0363 loss_embedding: 0.0142 loss: 0.1071 2022/08/26 16:52:07 - mmengine - INFO - Epoch(train) [194][60/63] lr: 7.0468e-04 eta: 3:56:23 time: 0.5156 data_time: 0.0280 memory: 12277 loss_text: 0.0635 loss_kernel: 0.0363 loss_embedding: 0.0147 loss: 0.1146 2022/08/26 16:52:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:52:13 - mmengine - INFO - Epoch(train) [195][5/63] lr: 7.0311e-04 eta: 3:56:23 time: 0.7119 data_time: 0.1962 memory: 12277 loss_text: 0.0694 loss_kernel: 0.0378 loss_embedding: 0.0144 loss: 0.1216 2022/08/26 16:52:16 - mmengine - INFO - Epoch(train) [195][10/63] lr: 7.0311e-04 eta: 3:56:15 time: 0.7069 data_time: 0.2010 memory: 12277 loss_text: 0.0692 loss_kernel: 0.0412 loss_embedding: 0.0133 loss: 0.1237 2022/08/26 16:52:18 - mmengine - INFO - Epoch(train) [195][15/63] lr: 7.0311e-04 eta: 3:56:15 time: 0.5187 data_time: 0.0391 memory: 12277 loss_text: 0.0786 loss_kernel: 0.0422 loss_embedding: 0.0112 loss: 0.1320 2022/08/26 16:52:21 - mmengine - INFO - Epoch(train) [195][20/63] lr: 7.0311e-04 eta: 3:56:09 time: 0.5324 data_time: 0.0371 memory: 12277 loss_text: 0.0723 loss_kernel: 0.0392 loss_embedding: 0.0117 loss: 0.1232 2022/08/26 16:52:24 - mmengine - INFO - Epoch(train) [195][25/63] lr: 7.0311e-04 eta: 3:56:09 time: 0.5311 data_time: 0.0371 memory: 12277 loss_text: 0.0719 loss_kernel: 0.0391 loss_embedding: 0.0150 loss: 0.1260 2022/08/26 16:52:29 - mmengine - INFO - Epoch(train) [195][30/63] lr: 7.0311e-04 eta: 3:56:08 time: 0.7331 data_time: 0.0524 memory: 12277 loss_text: 0.0714 loss_kernel: 0.0374 loss_embedding: 0.0147 loss: 0.1235 2022/08/26 16:52:31 - mmengine - INFO - Epoch(train) [195][35/63] lr: 7.0311e-04 eta: 3:56:08 time: 0.7655 data_time: 0.0590 memory: 12277 loss_text: 0.0646 loss_kernel: 0.0370 loss_embedding: 0.0132 loss: 0.1149 2022/08/26 16:52:34 - mmengine - INFO - Epoch(train) [195][40/63] lr: 7.0311e-04 eta: 3:56:02 time: 0.5685 data_time: 0.0436 memory: 12277 loss_text: 0.0622 loss_kernel: 0.0368 loss_embedding: 0.0128 loss: 0.1119 2022/08/26 16:52:37 - mmengine - INFO - Epoch(train) [195][45/63] lr: 7.0311e-04 eta: 3:56:02 time: 0.5639 data_time: 0.0525 memory: 12277 loss_text: 0.0600 loss_kernel: 0.0362 loss_embedding: 0.0124 loss: 0.1087 2022/08/26 16:52:40 - mmengine - INFO - Epoch(train) [195][50/63] lr: 7.0311e-04 eta: 3:55:57 time: 0.5483 data_time: 0.0464 memory: 12277 loss_text: 0.0570 loss_kernel: 0.0357 loss_embedding: 0.0146 loss: 0.1072 2022/08/26 16:52:43 - mmengine - INFO - Epoch(train) [195][55/63] lr: 7.0311e-04 eta: 3:55:57 time: 0.5459 data_time: 0.0349 memory: 12277 loss_text: 0.0623 loss_kernel: 0.0375 loss_embedding: 0.0149 loss: 0.1148 2022/08/26 16:52:45 - mmengine - INFO - Epoch(train) [195][60/63] lr: 7.0311e-04 eta: 3:55:51 time: 0.5518 data_time: 0.0333 memory: 12277 loss_text: 0.0681 loss_kernel: 0.0414 loss_embedding: 0.0142 loss: 0.1238 2022/08/26 16:52:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:52:52 - mmengine - INFO - Epoch(train) [196][5/63] lr: 7.0155e-04 eta: 3:55:51 time: 0.7293 data_time: 0.2110 memory: 12277 loss_text: 0.0600 loss_kernel: 0.0370 loss_embedding: 0.0129 loss: 0.1099 2022/08/26 16:52:54 - mmengine - INFO - Epoch(train) [196][10/63] lr: 7.0155e-04 eta: 3:55:44 time: 0.7109 data_time: 0.2029 memory: 12277 loss_text: 0.0632 loss_kernel: 0.0375 loss_embedding: 0.0131 loss: 0.1138 2022/08/26 16:52:57 - mmengine - INFO - Epoch(train) [196][15/63] lr: 7.0155e-04 eta: 3:55:44 time: 0.5367 data_time: 0.0340 memory: 12277 loss_text: 0.0640 loss_kernel: 0.0394 loss_embedding: 0.0146 loss: 0.1180 2022/08/26 16:53:00 - mmengine - INFO - Epoch(train) [196][20/63] lr: 7.0155e-04 eta: 3:55:38 time: 0.5461 data_time: 0.0485 memory: 12277 loss_text: 0.0666 loss_kernel: 0.0381 loss_embedding: 0.0143 loss: 0.1190 2022/08/26 16:53:02 - mmengine - INFO - Epoch(train) [196][25/63] lr: 7.0155e-04 eta: 3:55:38 time: 0.5464 data_time: 0.0540 memory: 12277 loss_text: 0.0659 loss_kernel: 0.0404 loss_embedding: 0.0124 loss: 0.1188 2022/08/26 16:53:07 - mmengine - INFO - Epoch(train) [196][30/63] lr: 7.0155e-04 eta: 3:55:36 time: 0.7188 data_time: 0.0398 memory: 12277 loss_text: 0.0606 loss_kernel: 0.0408 loss_embedding: 0.0115 loss: 0.1129 2022/08/26 16:53:11 - mmengine - INFO - Epoch(train) [196][35/63] lr: 7.0155e-04 eta: 3:55:36 time: 0.8745 data_time: 0.0351 memory: 12277 loss_text: 0.0656 loss_kernel: 0.0408 loss_embedding: 0.0124 loss: 0.1189 2022/08/26 16:53:14 - mmengine - INFO - Epoch(train) [196][40/63] lr: 7.0155e-04 eta: 3:55:33 time: 0.6905 data_time: 0.0298 memory: 12277 loss_text: 0.0675 loss_kernel: 0.0398 loss_embedding: 0.0140 loss: 0.1213 2022/08/26 16:53:17 - mmengine - INFO - Epoch(train) [196][45/63] lr: 7.0155e-04 eta: 3:55:33 time: 0.5582 data_time: 0.0273 memory: 12277 loss_text: 0.0626 loss_kernel: 0.0372 loss_embedding: 0.0129 loss: 0.1127 2022/08/26 16:53:19 - mmengine - INFO - Epoch(train) [196][50/63] lr: 7.0155e-04 eta: 3:55:27 time: 0.5565 data_time: 0.0290 memory: 12277 loss_text: 0.0653 loss_kernel: 0.0406 loss_embedding: 0.0131 loss: 0.1191 2022/08/26 16:53:22 - mmengine - INFO - Epoch(train) [196][55/63] lr: 7.0155e-04 eta: 3:55:27 time: 0.5621 data_time: 0.0282 memory: 12277 loss_text: 0.0590 loss_kernel: 0.0375 loss_embedding: 0.0135 loss: 0.1101 2022/08/26 16:53:25 - mmengine - INFO - Epoch(train) [196][60/63] lr: 7.0155e-04 eta: 3:55:23 time: 0.6071 data_time: 0.0267 memory: 12277 loss_text: 0.0618 loss_kernel: 0.0423 loss_embedding: 0.0159 loss: 0.1200 2022/08/26 16:53:27 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:53:31 - mmengine - INFO - Epoch(train) [197][5/63] lr: 6.9999e-04 eta: 3:55:23 time: 0.6924 data_time: 0.1661 memory: 12277 loss_text: 0.0617 loss_kernel: 0.0420 loss_embedding: 0.0131 loss: 0.1168 2022/08/26 16:53:34 - mmengine - INFO - Epoch(train) [197][10/63] lr: 6.9999e-04 eta: 3:55:16 time: 0.7130 data_time: 0.1747 memory: 12277 loss_text: 0.0644 loss_kernel: 0.0402 loss_embedding: 0.0141 loss: 0.1187 2022/08/26 16:53:37 - mmengine - INFO - Epoch(train) [197][15/63] lr: 6.9999e-04 eta: 3:55:16 time: 0.6126 data_time: 0.0332 memory: 12277 loss_text: 0.0584 loss_kernel: 0.0349 loss_embedding: 0.0133 loss: 0.1066 2022/08/26 16:53:40 - mmengine - INFO - Epoch(train) [197][20/63] lr: 6.9999e-04 eta: 3:55:12 time: 0.6347 data_time: 0.0317 memory: 12277 loss_text: 0.0748 loss_kernel: 0.0446 loss_embedding: 0.0140 loss: 0.1333 2022/08/26 16:53:43 - mmengine - INFO - Epoch(train) [197][25/63] lr: 6.9999e-04 eta: 3:55:12 time: 0.5548 data_time: 0.0302 memory: 12277 loss_text: 0.0800 loss_kernel: 0.0468 loss_embedding: 0.0155 loss: 0.1423 2022/08/26 16:53:46 - mmengine - INFO - Epoch(train) [197][30/63] lr: 6.9999e-04 eta: 3:55:06 time: 0.5388 data_time: 0.0299 memory: 12277 loss_text: 0.0738 loss_kernel: 0.0406 loss_embedding: 0.0130 loss: 0.1274 2022/08/26 16:53:49 - mmengine - INFO - Epoch(train) [197][35/63] lr: 6.9999e-04 eta: 3:55:06 time: 0.5547 data_time: 0.0419 memory: 12277 loss_text: 0.0690 loss_kernel: 0.0386 loss_embedding: 0.0149 loss: 0.1225 2022/08/26 16:53:51 - mmengine - INFO - Epoch(train) [197][40/63] lr: 6.9999e-04 eta: 3:55:00 time: 0.5590 data_time: 0.0437 memory: 12277 loss_text: 0.0541 loss_kernel: 0.0346 loss_embedding: 0.0154 loss: 0.1041 2022/08/26 16:53:54 - mmengine - INFO - Epoch(train) [197][45/63] lr: 6.9999e-04 eta: 3:55:00 time: 0.5457 data_time: 0.0364 memory: 12277 loss_text: 0.0639 loss_kernel: 0.0375 loss_embedding: 0.0122 loss: 0.1136 2022/08/26 16:53:58 - mmengine - INFO - Epoch(train) [197][50/63] lr: 6.9999e-04 eta: 3:54:56 time: 0.6361 data_time: 0.0397 memory: 12277 loss_text: 0.0654 loss_kernel: 0.0406 loss_embedding: 0.0119 loss: 0.1178 2022/08/26 16:54:01 - mmengine - INFO - Epoch(train) [197][55/63] lr: 6.9999e-04 eta: 3:54:56 time: 0.6536 data_time: 0.0486 memory: 12277 loss_text: 0.0646 loss_kernel: 0.0397 loss_embedding: 0.0114 loss: 0.1157 2022/08/26 16:54:03 - mmengine - INFO - Epoch(train) [197][60/63] lr: 6.9999e-04 eta: 3:54:51 time: 0.5574 data_time: 0.0464 memory: 12277 loss_text: 0.0691 loss_kernel: 0.0387 loss_embedding: 0.0129 loss: 0.1207 2022/08/26 16:54:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:54:09 - mmengine - INFO - Epoch(train) [198][5/63] lr: 6.9842e-04 eta: 3:54:51 time: 0.6339 data_time: 0.1409 memory: 12277 loss_text: 0.0569 loss_kernel: 0.0344 loss_embedding: 0.0128 loss: 0.1041 2022/08/26 16:54:11 - mmengine - INFO - Epoch(train) [198][10/63] lr: 6.9842e-04 eta: 3:54:43 time: 0.6725 data_time: 0.1530 memory: 12277 loss_text: 0.0586 loss_kernel: 0.0375 loss_embedding: 0.0132 loss: 0.1093 2022/08/26 16:54:14 - mmengine - INFO - Epoch(train) [198][15/63] lr: 6.9842e-04 eta: 3:54:43 time: 0.5824 data_time: 0.0515 memory: 12277 loss_text: 0.0565 loss_kernel: 0.0374 loss_embedding: 0.0152 loss: 0.1091 2022/08/26 16:54:18 - mmengine - INFO - Epoch(train) [198][20/63] lr: 6.9842e-04 eta: 3:54:39 time: 0.6394 data_time: 0.0476 memory: 12277 loss_text: 0.0529 loss_kernel: 0.0351 loss_embedding: 0.0155 loss: 0.1035 2022/08/26 16:54:20 - mmengine - INFO - Epoch(train) [198][25/63] lr: 6.9842e-04 eta: 3:54:39 time: 0.6072 data_time: 0.0406 memory: 12277 loss_text: 0.0556 loss_kernel: 0.0349 loss_embedding: 0.0136 loss: 0.1042 2022/08/26 16:54:23 - mmengine - INFO - Epoch(train) [198][30/63] lr: 6.9842e-04 eta: 3:54:33 time: 0.5596 data_time: 0.0477 memory: 12277 loss_text: 0.0622 loss_kernel: 0.0384 loss_embedding: 0.0135 loss: 0.1141 2022/08/26 16:54:26 - mmengine - INFO - Epoch(train) [198][35/63] lr: 6.9842e-04 eta: 3:54:33 time: 0.5543 data_time: 0.0530 memory: 12277 loss_text: 0.0641 loss_kernel: 0.0409 loss_embedding: 0.0135 loss: 0.1184 2022/08/26 16:54:29 - mmengine - INFO - Epoch(train) [198][40/63] lr: 6.9842e-04 eta: 3:54:27 time: 0.5161 data_time: 0.0400 memory: 12277 loss_text: 0.0579 loss_kernel: 0.0375 loss_embedding: 0.0123 loss: 0.1077 2022/08/26 16:54:31 - mmengine - INFO - Epoch(train) [198][45/63] lr: 6.9842e-04 eta: 3:54:27 time: 0.5238 data_time: 0.0344 memory: 12277 loss_text: 0.0573 loss_kernel: 0.0371 loss_embedding: 0.0116 loss: 0.1060 2022/08/26 16:54:34 - mmengine - INFO - Epoch(train) [198][50/63] lr: 6.9842e-04 eta: 3:54:22 time: 0.5549 data_time: 0.0460 memory: 12277 loss_text: 0.0609 loss_kernel: 0.0376 loss_embedding: 0.0142 loss: 0.1128 2022/08/26 16:54:37 - mmengine - INFO - Epoch(train) [198][55/63] lr: 6.9842e-04 eta: 3:54:22 time: 0.5919 data_time: 0.0488 memory: 12277 loss_text: 0.0659 loss_kernel: 0.0357 loss_embedding: 0.0150 loss: 0.1166 2022/08/26 16:54:40 - mmengine - INFO - Epoch(train) [198][60/63] lr: 6.9842e-04 eta: 3:54:17 time: 0.5923 data_time: 0.0384 memory: 12277 loss_text: 0.0660 loss_kernel: 0.0364 loss_embedding: 0.0135 loss: 0.1159 2022/08/26 16:54:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:54:46 - mmengine - INFO - Epoch(train) [199][5/63] lr: 6.9686e-04 eta: 3:54:17 time: 0.6557 data_time: 0.1640 memory: 12277 loss_text: 0.0821 loss_kernel: 0.0411 loss_embedding: 0.0165 loss: 0.1397 2022/08/26 16:54:48 - mmengine - INFO - Epoch(train) [199][10/63] lr: 6.9686e-04 eta: 3:54:09 time: 0.6980 data_time: 0.1907 memory: 12277 loss_text: 0.0722 loss_kernel: 0.0395 loss_embedding: 0.0138 loss: 0.1256 2022/08/26 16:54:52 - mmengine - INFO - Epoch(train) [199][15/63] lr: 6.9686e-04 eta: 3:54:09 time: 0.6712 data_time: 0.0580 memory: 12277 loss_text: 0.0644 loss_kernel: 0.0392 loss_embedding: 0.0151 loss: 0.1187 2022/08/26 16:54:55 - mmengine - INFO - Epoch(train) [199][20/63] lr: 6.9686e-04 eta: 3:54:05 time: 0.6461 data_time: 0.0361 memory: 12277 loss_text: 0.0798 loss_kernel: 0.0470 loss_embedding: 0.0145 loss: 0.1412 2022/08/26 16:54:58 - mmengine - INFO - Epoch(train) [199][25/63] lr: 6.9686e-04 eta: 3:54:05 time: 0.5809 data_time: 0.0610 memory: 12277 loss_text: 0.0746 loss_kernel: 0.0434 loss_embedding: 0.0132 loss: 0.1313 2022/08/26 16:55:01 - mmengine - INFO - Epoch(train) [199][30/63] lr: 6.9686e-04 eta: 3:54:01 time: 0.6135 data_time: 0.0744 memory: 12277 loss_text: 0.0617 loss_kernel: 0.0357 loss_embedding: 0.0143 loss: 0.1117 2022/08/26 16:55:04 - mmengine - INFO - Epoch(train) [199][35/63] lr: 6.9686e-04 eta: 3:54:01 time: 0.5608 data_time: 0.0489 memory: 12277 loss_text: 0.0672 loss_kernel: 0.0356 loss_embedding: 0.0141 loss: 0.1169 2022/08/26 16:55:07 - mmengine - INFO - Epoch(train) [199][40/63] lr: 6.9686e-04 eta: 3:53:55 time: 0.5531 data_time: 0.0474 memory: 12277 loss_text: 0.0673 loss_kernel: 0.0354 loss_embedding: 0.0127 loss: 0.1154 2022/08/26 16:55:09 - mmengine - INFO - Epoch(train) [199][45/63] lr: 6.9686e-04 eta: 3:53:55 time: 0.5559 data_time: 0.0431 memory: 12277 loss_text: 0.0755 loss_kernel: 0.0444 loss_embedding: 0.0148 loss: 0.1347 2022/08/26 16:55:12 - mmengine - INFO - Epoch(train) [199][50/63] lr: 6.9686e-04 eta: 3:53:50 time: 0.5538 data_time: 0.0472 memory: 12277 loss_text: 0.0721 loss_kernel: 0.0439 loss_embedding: 0.0143 loss: 0.1303 2022/08/26 16:55:15 - mmengine - INFO - Epoch(train) [199][55/63] lr: 6.9686e-04 eta: 3:53:50 time: 0.5354 data_time: 0.0500 memory: 12277 loss_text: 0.0538 loss_kernel: 0.0343 loss_embedding: 0.0123 loss: 0.1004 2022/08/26 16:55:17 - mmengine - INFO - Epoch(train) [199][60/63] lr: 6.9686e-04 eta: 3:53:44 time: 0.5273 data_time: 0.0337 memory: 12277 loss_text: 0.0611 loss_kernel: 0.0379 loss_embedding: 0.0139 loss: 0.1129 2022/08/26 16:55:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:55:23 - mmengine - INFO - Epoch(train) [200][5/63] lr: 6.9530e-04 eta: 3:53:44 time: 0.6859 data_time: 0.1992 memory: 12277 loss_text: 0.0515 loss_kernel: 0.0337 loss_embedding: 0.0123 loss: 0.0975 2022/08/26 16:55:26 - mmengine - INFO - Epoch(train) [200][10/63] lr: 6.9530e-04 eta: 3:53:37 time: 0.7285 data_time: 0.2108 memory: 12277 loss_text: 0.0661 loss_kernel: 0.0402 loss_embedding: 0.0128 loss: 0.1190 2022/08/26 16:55:29 - mmengine - INFO - Epoch(train) [200][15/63] lr: 6.9530e-04 eta: 3:53:37 time: 0.5739 data_time: 0.0407 memory: 12277 loss_text: 0.0700 loss_kernel: 0.0410 loss_embedding: 0.0121 loss: 0.1231 2022/08/26 16:55:32 - mmengine - INFO - Epoch(train) [200][20/63] lr: 6.9530e-04 eta: 3:53:31 time: 0.5531 data_time: 0.0335 memory: 12277 loss_text: 0.0548 loss_kernel: 0.0362 loss_embedding: 0.0117 loss: 0.1028 2022/08/26 16:55:34 - mmengine - INFO - Epoch(train) [200][25/63] lr: 6.9530e-04 eta: 3:53:31 time: 0.5393 data_time: 0.0399 memory: 12277 loss_text: 0.0557 loss_kernel: 0.0375 loss_embedding: 0.0137 loss: 0.1068 2022/08/26 16:55:37 - mmengine - INFO - Epoch(train) [200][30/63] lr: 6.9530e-04 eta: 3:53:26 time: 0.5717 data_time: 0.0541 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0371 loss_embedding: 0.0143 loss: 0.1080 2022/08/26 16:55:40 - mmengine - INFO - Epoch(train) [200][35/63] lr: 6.9530e-04 eta: 3:53:26 time: 0.5626 data_time: 0.0495 memory: 12277 loss_text: 0.0625 loss_kernel: 0.0392 loss_embedding: 0.0147 loss: 0.1165 2022/08/26 16:55:43 - mmengine - INFO - Epoch(train) [200][40/63] lr: 6.9530e-04 eta: 3:53:20 time: 0.5298 data_time: 0.0331 memory: 12277 loss_text: 0.0640 loss_kernel: 0.0381 loss_embedding: 0.0136 loss: 0.1157 2022/08/26 16:55:45 - mmengine - INFO - Epoch(train) [200][45/63] lr: 6.9530e-04 eta: 3:53:20 time: 0.5409 data_time: 0.0337 memory: 12277 loss_text: 0.0712 loss_kernel: 0.0410 loss_embedding: 0.0125 loss: 0.1247 2022/08/26 16:55:48 - mmengine - INFO - Epoch(train) [200][50/63] lr: 6.9530e-04 eta: 3:53:14 time: 0.5599 data_time: 0.0532 memory: 12277 loss_text: 0.0802 loss_kernel: 0.0448 loss_embedding: 0.0139 loss: 0.1389 2022/08/26 16:55:51 - mmengine - INFO - Epoch(train) [200][55/63] lr: 6.9530e-04 eta: 3:53:14 time: 0.5691 data_time: 0.0592 memory: 12277 loss_text: 0.0788 loss_kernel: 0.0449 loss_embedding: 0.0145 loss: 0.1382 2022/08/26 16:55:54 - mmengine - INFO - Epoch(train) [200][60/63] lr: 6.9530e-04 eta: 3:53:08 time: 0.5364 data_time: 0.0370 memory: 12277 loss_text: 0.0734 loss_kernel: 0.0442 loss_embedding: 0.0121 loss: 0.1297 2022/08/26 16:55:55 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:55:55 - mmengine - INFO - Saving checkpoint at 200 epochs 2022/08/26 16:55:59 - mmengine - INFO - Epoch(val) [200][5/500] eta: 3:53:08 time: 0.0516 data_time: 0.0126 memory: 12277 2022/08/26 16:55:59 - mmengine - INFO - Epoch(val) [200][10/500] eta: 0:00:27 time: 0.0558 data_time: 0.0130 memory: 497 2022/08/26 16:55:59 - mmengine - INFO - Epoch(val) [200][15/500] eta: 0:00:27 time: 0.0275 data_time: 0.0028 memory: 539 2022/08/26 16:55:59 - mmengine - INFO - Epoch(val) [200][20/500] eta: 0:00:10 time: 0.0220 data_time: 0.0019 memory: 497 2022/08/26 16:55:59 - mmengine - INFO - Epoch(val) [200][25/500] eta: 0:00:10 time: 0.0206 data_time: 0.0018 memory: 505 2022/08/26 16:56:00 - mmengine - INFO - Epoch(val) [200][30/500] eta: 0:00:09 time: 0.0193 data_time: 0.0016 memory: 516 2022/08/26 16:56:00 - mmengine - INFO - Epoch(val) [200][35/500] eta: 0:00:09 time: 0.0203 data_time: 0.0016 memory: 497 2022/08/26 16:56:00 - mmengine - INFO - Epoch(val) [200][40/500] eta: 0:00:10 time: 0.0220 data_time: 0.0017 memory: 497 2022/08/26 16:56:00 - mmengine - INFO - Epoch(val) [200][45/500] eta: 0:00:10 time: 0.0186 data_time: 0.0017 memory: 480 2022/08/26 16:56:00 - mmengine - INFO - Epoch(val) [200][50/500] eta: 0:00:08 time: 0.0180 data_time: 0.0015 memory: 539 2022/08/26 16:56:00 - mmengine - INFO - Epoch(val) [200][55/500] eta: 0:00:08 time: 0.0212 data_time: 0.0017 memory: 561 2022/08/26 16:56:00 - mmengine - INFO - Epoch(val) [200][60/500] eta: 0:00:09 time: 0.0208 data_time: 0.0017 memory: 497 2022/08/26 16:56:00 - mmengine - INFO - Epoch(val) [200][65/500] eta: 0:00:09 time: 0.0210 data_time: 0.0017 memory: 597 2022/08/26 16:56:00 - mmengine - INFO - Epoch(val) [200][70/500] eta: 0:00:08 time: 0.0191 data_time: 0.0017 memory: 497 2022/08/26 16:56:01 - mmengine - INFO - Epoch(val) [200][75/500] eta: 0:00:08 time: 0.0227 data_time: 0.0019 memory: 556 2022/08/26 16:56:01 - mmengine - INFO - Epoch(val) [200][80/500] eta: 0:00:10 time: 0.0244 data_time: 0.0021 memory: 497 2022/08/26 16:56:01 - mmengine - INFO - Epoch(val) [200][85/500] eta: 0:00:10 time: 0.0216 data_time: 0.0020 memory: 564 2022/08/26 16:56:01 - mmengine - INFO - Epoch(val) [200][90/500] eta: 0:00:10 time: 0.0257 data_time: 0.0017 memory: 522 2022/08/26 16:56:01 - mmengine - INFO - Epoch(val) [200][95/500] eta: 0:00:10 time: 0.0259 data_time: 0.0016 memory: 756 2022/08/26 16:56:01 - mmengine - INFO - Epoch(val) [200][100/500] eta: 0:00:08 time: 0.0201 data_time: 0.0015 memory: 572 2022/08/26 16:56:01 - mmengine - INFO - Epoch(val) [200][105/500] eta: 0:00:08 time: 0.0180 data_time: 0.0014 memory: 539 2022/08/26 16:56:01 - mmengine - INFO - Epoch(val) [200][110/500] eta: 0:00:06 time: 0.0167 data_time: 0.0014 memory: 497 2022/08/26 16:56:01 - mmengine - INFO - Epoch(val) [200][115/500] eta: 0:00:06 time: 0.0169 data_time: 0.0015 memory: 497 2022/08/26 16:56:01 - mmengine - INFO - Epoch(val) [200][120/500] eta: 0:00:08 time: 0.0227 data_time: 0.0016 memory: 530 2022/08/26 16:56:02 - mmengine - INFO - Epoch(val) [200][125/500] eta: 0:00:08 time: 0.0274 data_time: 0.0017 memory: 497 2022/08/26 16:56:02 - mmengine - INFO - Epoch(val) [200][130/500] eta: 0:00:08 time: 0.0230 data_time: 0.0018 memory: 539 2022/08/26 16:56:02 - mmengine - INFO - Epoch(val) [200][135/500] eta: 0:00:08 time: 0.0170 data_time: 0.0017 memory: 497 2022/08/26 16:56:02 - mmengine - INFO - Epoch(val) [200][140/500] eta: 0:00:06 time: 0.0174 data_time: 0.0015 memory: 480 2022/08/26 16:56:02 - mmengine - INFO - Epoch(val) [200][145/500] eta: 0:00:06 time: 0.0182 data_time: 0.0016 memory: 751 2022/08/26 16:56:02 - mmengine - INFO - Epoch(val) [200][150/500] eta: 0:00:05 time: 0.0171 data_time: 0.0017 memory: 464 2022/08/26 16:56:02 - mmengine - INFO - Epoch(val) [200][155/500] eta: 0:00:05 time: 0.0169 data_time: 0.0016 memory: 516 2022/08/26 16:56:02 - mmengine - INFO - Epoch(val) [200][160/500] eta: 0:00:05 time: 0.0170 data_time: 0.0017 memory: 539 2022/08/26 16:56:02 - mmengine - INFO - Epoch(val) [200][165/500] eta: 0:00:05 time: 0.0179 data_time: 0.0017 memory: 497 2022/08/26 16:56:02 - mmengine - INFO - Epoch(val) [200][170/500] eta: 0:00:06 time: 0.0187 data_time: 0.0016 memory: 514 2022/08/26 16:56:02 - mmengine - INFO - Epoch(val) [200][175/500] eta: 0:00:06 time: 0.0159 data_time: 0.0015 memory: 539 2022/08/26 16:56:03 - mmengine - INFO - Epoch(val) [200][180/500] eta: 0:00:04 time: 0.0155 data_time: 0.0015 memory: 539 2022/08/26 16:56:03 - mmengine - INFO - Epoch(val) [200][185/500] eta: 0:00:04 time: 0.0162 data_time: 0.0014 memory: 489 2022/08/26 16:56:03 - mmengine - INFO - Epoch(val) [200][190/500] eta: 0:00:05 time: 0.0179 data_time: 0.0017 memory: 516 2022/08/26 16:56:03 - mmengine - INFO - Epoch(val) [200][195/500] eta: 0:00:05 time: 0.0241 data_time: 0.0019 memory: 516 2022/08/26 16:56:03 - mmengine - INFO - Epoch(val) [200][200/500] eta: 0:00:07 time: 0.0240 data_time: 0.0019 memory: 516 2022/08/26 16:56:03 - mmengine - INFO - Epoch(val) [200][205/500] eta: 0:00:07 time: 0.0211 data_time: 0.0019 memory: 664 2022/08/26 16:56:03 - mmengine - INFO - Epoch(val) [200][210/500] eta: 0:00:07 time: 0.0246 data_time: 0.0021 memory: 497 2022/08/26 16:56:03 - mmengine - INFO - Epoch(val) [200][215/500] eta: 0:00:07 time: 0.0238 data_time: 0.0022 memory: 514 2022/08/26 16:56:03 - mmengine - INFO - Epoch(val) [200][220/500] eta: 0:00:06 time: 0.0214 data_time: 0.0020 memory: 572 2022/08/26 16:56:04 - mmengine - INFO - Epoch(val) [200][225/500] eta: 0:00:06 time: 0.0212 data_time: 0.0021 memory: 497 2022/08/26 16:56:04 - mmengine - INFO - Epoch(val) [200][230/500] eta: 0:00:07 time: 0.0266 data_time: 0.0019 memory: 507 2022/08/26 16:56:04 - mmengine - INFO - Epoch(val) [200][235/500] eta: 0:00:07 time: 0.0273 data_time: 0.0018 memory: 497 2022/08/26 16:56:04 - mmengine - INFO - Epoch(val) [200][240/500] eta: 0:00:05 time: 0.0206 data_time: 0.0018 memory: 497 2022/08/26 16:56:04 - mmengine - INFO - Epoch(val) [200][245/500] eta: 0:00:05 time: 0.0193 data_time: 0.0018 memory: 648 2022/08/26 16:56:04 - mmengine - INFO - Epoch(val) [200][250/500] eta: 0:00:04 time: 0.0197 data_time: 0.0018 memory: 497 2022/08/26 16:56:04 - mmengine - INFO - Epoch(val) [200][255/500] eta: 0:00:04 time: 0.0343 data_time: 0.0021 memory: 543 2022/08/26 16:56:04 - mmengine - INFO - Epoch(val) [200][260/500] eta: 0:00:08 time: 0.0338 data_time: 0.0020 memory: 516 2022/08/26 16:56:05 - mmengine - INFO - Epoch(val) [200][265/500] eta: 0:00:08 time: 0.0199 data_time: 0.0017 memory: 622 2022/08/26 16:56:05 - mmengine - INFO - Epoch(val) [200][270/500] eta: 0:00:04 time: 0.0194 data_time: 0.0017 memory: 505 2022/08/26 16:56:05 - mmengine - INFO - Epoch(val) [200][275/500] eta: 0:00:04 time: 0.0209 data_time: 0.0016 memory: 539 2022/08/26 16:56:05 - mmengine - INFO - Epoch(val) [200][280/500] eta: 0:00:04 time: 0.0192 data_time: 0.0016 memory: 473 2022/08/26 16:56:05 - mmengine - INFO - Epoch(val) [200][285/500] eta: 0:00:04 time: 0.0170 data_time: 0.0016 memory: 481 2022/08/26 16:56:05 - mmengine - INFO - Epoch(val) [200][290/500] eta: 0:00:03 time: 0.0175 data_time: 0.0015 memory: 464 2022/08/26 16:56:05 - mmengine - INFO - Epoch(val) [200][295/500] eta: 0:00:03 time: 0.0168 data_time: 0.0016 memory: 489 2022/08/26 16:56:05 - mmengine - INFO - Epoch(val) [200][300/500] eta: 0:00:03 time: 0.0181 data_time: 0.0017 memory: 497 2022/08/26 16:56:05 - mmengine - INFO - Epoch(val) [200][305/500] eta: 0:00:03 time: 0.0180 data_time: 0.0017 memory: 597 2022/08/26 16:56:05 - mmengine - INFO - Epoch(val) [200][310/500] eta: 0:00:03 time: 0.0178 data_time: 0.0016 memory: 606 2022/08/26 16:56:05 - mmengine - INFO - Epoch(val) [200][315/500] eta: 0:00:03 time: 0.0188 data_time: 0.0015 memory: 539 2022/08/26 16:56:06 - mmengine - INFO - Epoch(val) [200][320/500] eta: 0:00:03 time: 0.0182 data_time: 0.0015 memory: 499 2022/08/26 16:56:06 - mmengine - INFO - Epoch(val) [200][325/500] eta: 0:00:03 time: 0.0160 data_time: 0.0015 memory: 497 2022/08/26 16:56:06 - mmengine - INFO - Epoch(val) [200][330/500] eta: 0:00:02 time: 0.0170 data_time: 0.0015 memory: 497 2022/08/26 16:56:06 - mmengine - INFO - Epoch(val) [200][335/500] eta: 0:00:02 time: 0.0210 data_time: 0.0017 memory: 497 2022/08/26 16:56:06 - mmengine - INFO - Epoch(val) [200][340/500] eta: 0:00:03 time: 0.0216 data_time: 0.0018 memory: 522 2022/08/26 16:56:06 - mmengine - INFO - Epoch(val) [200][345/500] eta: 0:00:03 time: 0.0199 data_time: 0.0017 memory: 572 2022/08/26 16:56:06 - mmengine - INFO - Epoch(val) [200][350/500] eta: 0:00:02 time: 0.0197 data_time: 0.0017 memory: 499 2022/08/26 16:56:06 - mmengine - INFO - Epoch(val) [200][355/500] eta: 0:00:02 time: 0.0247 data_time: 0.0018 memory: 525 2022/08/26 16:56:06 - mmengine - INFO - Epoch(val) [200][360/500] eta: 0:00:03 time: 0.0232 data_time: 0.0018 memory: 525 2022/08/26 16:56:06 - mmengine - INFO - Epoch(val) [200][365/500] eta: 0:00:03 time: 0.0202 data_time: 0.0017 memory: 707 2022/08/26 16:56:07 - mmengine - INFO - Epoch(val) [200][370/500] eta: 0:00:02 time: 0.0217 data_time: 0.0018 memory: 539 2022/08/26 16:56:07 - mmengine - INFO - Epoch(val) [200][375/500] eta: 0:00:02 time: 0.0210 data_time: 0.0018 memory: 765 2022/08/26 16:56:07 - mmengine - INFO - Epoch(val) [200][380/500] eta: 0:00:02 time: 0.0209 data_time: 0.0017 memory: 572 2022/08/26 16:56:07 - mmengine - INFO - Epoch(val) [200][385/500] eta: 0:00:02 time: 0.0181 data_time: 0.0015 memory: 497 2022/08/26 16:56:07 - mmengine - INFO - Epoch(val) [200][390/500] eta: 0:00:01 time: 0.0181 data_time: 0.0016 memory: 539 2022/08/26 16:56:07 - mmengine - INFO - Epoch(val) [200][395/500] eta: 0:00:01 time: 0.0253 data_time: 0.0015 memory: 489 2022/08/26 16:56:07 - mmengine - INFO - Epoch(val) [200][400/500] eta: 0:00:02 time: 0.0270 data_time: 0.0015 memory: 497 2022/08/26 16:56:07 - mmengine - INFO - Epoch(val) [200][405/500] eta: 0:00:02 time: 0.0196 data_time: 0.0016 memory: 497 2022/08/26 16:56:07 - mmengine - INFO - Epoch(val) [200][410/500] eta: 0:00:01 time: 0.0180 data_time: 0.0016 memory: 497 2022/08/26 16:56:08 - mmengine - INFO - Epoch(val) [200][415/500] eta: 0:00:01 time: 0.0270 data_time: 0.0016 memory: 497 2022/08/26 16:56:08 - mmengine - INFO - Epoch(val) [200][420/500] eta: 0:00:02 time: 0.0285 data_time: 0.0016 memory: 497 2022/08/26 16:56:08 - mmengine - INFO - Epoch(val) [200][425/500] eta: 0:00:02 time: 0.0215 data_time: 0.0015 memory: 489 2022/08/26 16:56:08 - mmengine - INFO - Epoch(val) [200][430/500] eta: 0:00:01 time: 0.0254 data_time: 0.0017 memory: 516 2022/08/26 16:56:08 - mmengine - INFO - Epoch(val) [200][435/500] eta: 0:00:01 time: 0.0276 data_time: 0.0018 memory: 681 2022/08/26 16:56:08 - mmengine - INFO - Epoch(val) [200][440/500] eta: 0:00:01 time: 0.0227 data_time: 0.0016 memory: 539 2022/08/26 16:56:08 - mmengine - INFO - Epoch(val) [200][445/500] eta: 0:00:01 time: 0.0200 data_time: 0.0015 memory: 489 2022/08/26 16:56:08 - mmengine - INFO - Epoch(val) [200][450/500] eta: 0:00:01 time: 0.0222 data_time: 0.0017 memory: 507 2022/08/26 16:56:09 - mmengine - INFO - Epoch(val) [200][455/500] eta: 0:00:01 time: 0.0278 data_time: 0.0021 memory: 606 2022/08/26 16:56:09 - mmengine - INFO - Epoch(val) [200][460/500] eta: 0:00:00 time: 0.0248 data_time: 0.0022 memory: 499 2022/08/26 16:56:09 - mmengine - INFO - Epoch(val) [200][465/500] eta: 0:00:00 time: 0.0219 data_time: 0.0020 memory: 539 2022/08/26 16:56:09 - mmengine - INFO - Epoch(val) [200][470/500] eta: 0:00:00 time: 0.0205 data_time: 0.0019 memory: 516 2022/08/26 16:56:09 - mmengine - INFO - Epoch(val) [200][475/500] eta: 0:00:00 time: 0.0177 data_time: 0.0016 memory: 507 2022/08/26 16:56:09 - mmengine - INFO - Epoch(val) [200][480/500] eta: 0:00:00 time: 0.0174 data_time: 0.0015 memory: 464 2022/08/26 16:56:09 - mmengine - INFO - Epoch(val) [200][485/500] eta: 0:00:00 time: 0.0170 data_time: 0.0015 memory: 497 2022/08/26 16:56:09 - mmengine - INFO - Epoch(val) [200][490/500] eta: 0:00:00 time: 0.0169 data_time: 0.0016 memory: 497 2022/08/26 16:56:09 - mmengine - INFO - Epoch(val) [200][495/500] eta: 0:00:00 time: 0.0170 data_time: 0.0018 memory: 480 2022/08/26 16:56:09 - mmengine - INFO - Epoch(val) [200][500/500] eta: 0:00:00 time: 0.0165 data_time: 0.0017 memory: 522 2022/08/26 16:56:09 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 16:56:09 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7366, precision: 0.6633, hmean: 0.6980 2022/08/26 16:56:09 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7366, precision: 0.6633, hmean: 0.6980 2022/08/26 16:56:09 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7366, precision: 0.6633, hmean: 0.6980 2022/08/26 16:56:09 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7366, precision: 0.6633, hmean: 0.6980 2022/08/26 16:56:09 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7366, precision: 0.6633, hmean: 0.6980 2022/08/26 16:56:09 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7366, precision: 0.6654, hmean: 0.6992 2022/08/26 16:56:09 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7366, precision: 0.6814, hmean: 0.7079 2022/08/26 16:56:09 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7363, precision: 0.7031, hmean: 0.7193 2022/08/26 16:56:09 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7343, precision: 0.7296, hmean: 0.7319 2022/08/26 16:56:09 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7304, precision: 0.7572, hmean: 0.7436 2022/08/26 16:56:09 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7233, precision: 0.7790, hmean: 0.7501 2022/08/26 16:56:09 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7141, precision: 0.7997, hmean: 0.7545 2022/08/26 16:56:09 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.6764, precision: 0.8270, hmean: 0.7442 2022/08/26 16:56:09 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.4309, precision: 0.8660, hmean: 0.5755 2022/08/26 16:56:09 - mmengine - INFO - Epoch(val) [200][500/500] icdar/precision: 0.7997 icdar/recall: 0.7141 icdar/hmean: 0.7545 2022/08/26 16:56:14 - mmengine - INFO - Epoch(train) [201][5/63] lr: 6.9373e-04 eta: 0:00:00 time: 0.6581 data_time: 0.1714 memory: 12277 loss_text: 0.0572 loss_kernel: 0.0352 loss_embedding: 0.0124 loss: 0.1049 2022/08/26 16:56:17 - mmengine - INFO - Epoch(train) [201][10/63] lr: 6.9373e-04 eta: 3:53:02 time: 0.7504 data_time: 0.1766 memory: 12277 loss_text: 0.0657 loss_kernel: 0.0381 loss_embedding: 0.0123 loss: 0.1161 2022/08/26 16:56:20 - mmengine - INFO - Epoch(train) [201][15/63] lr: 6.9373e-04 eta: 3:53:02 time: 0.5878 data_time: 0.0361 memory: 12277 loss_text: 0.0696 loss_kernel: 0.0395 loss_embedding: 0.0141 loss: 0.1232 2022/08/26 16:56:23 - mmengine - INFO - Epoch(train) [201][20/63] lr: 6.9373e-04 eta: 3:52:56 time: 0.5444 data_time: 0.0516 memory: 12277 loss_text: 0.0614 loss_kernel: 0.0354 loss_embedding: 0.0147 loss: 0.1115 2022/08/26 16:56:25 - mmengine - INFO - Epoch(train) [201][25/63] lr: 6.9373e-04 eta: 3:52:56 time: 0.5438 data_time: 0.0516 memory: 12277 loss_text: 0.0720 loss_kernel: 0.0406 loss_embedding: 0.0158 loss: 0.1284 2022/08/26 16:56:28 - mmengine - INFO - Epoch(train) [201][30/63] lr: 6.9373e-04 eta: 3:52:50 time: 0.5391 data_time: 0.0359 memory: 12277 loss_text: 0.0698 loss_kernel: 0.0406 loss_embedding: 0.0141 loss: 0.1244 2022/08/26 16:56:31 - mmengine - INFO - Epoch(train) [201][35/63] lr: 6.9373e-04 eta: 3:52:50 time: 0.5375 data_time: 0.0359 memory: 12277 loss_text: 0.0589 loss_kernel: 0.0366 loss_embedding: 0.0134 loss: 0.1089 2022/08/26 16:56:33 - mmengine - INFO - Epoch(train) [201][40/63] lr: 6.9373e-04 eta: 3:52:44 time: 0.5390 data_time: 0.0474 memory: 12277 loss_text: 0.0684 loss_kernel: 0.0410 loss_embedding: 0.0148 loss: 0.1242 2022/08/26 16:56:36 - mmengine - INFO - Epoch(train) [201][45/63] lr: 6.9373e-04 eta: 3:52:44 time: 0.5559 data_time: 0.0485 memory: 12277 loss_text: 0.0746 loss_kernel: 0.0421 loss_embedding: 0.0149 loss: 0.1316 2022/08/26 16:56:39 - mmengine - INFO - Epoch(train) [201][50/63] lr: 6.9373e-04 eta: 3:52:39 time: 0.5705 data_time: 0.0417 memory: 12277 loss_text: 0.0693 loss_kernel: 0.0393 loss_embedding: 0.0153 loss: 0.1239 2022/08/26 16:56:42 - mmengine - INFO - Epoch(train) [201][55/63] lr: 6.9373e-04 eta: 3:52:39 time: 0.5513 data_time: 0.0381 memory: 12277 loss_text: 0.0617 loss_kernel: 0.0361 loss_embedding: 0.0145 loss: 0.1123 2022/08/26 16:56:44 - mmengine - INFO - Epoch(train) [201][60/63] lr: 6.9373e-04 eta: 3:52:33 time: 0.5336 data_time: 0.0463 memory: 12277 loss_text: 0.0571 loss_kernel: 0.0348 loss_embedding: 0.0142 loss: 0.1062 2022/08/26 16:56:46 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:56:50 - mmengine - INFO - Epoch(train) [202][5/63] lr: 6.9217e-04 eta: 3:52:33 time: 0.6307 data_time: 0.1683 memory: 12277 loss_text: 0.0686 loss_kernel: 0.0421 loss_embedding: 0.0136 loss: 0.1243 2022/08/26 16:56:53 - mmengine - INFO - Epoch(train) [202][10/63] lr: 6.9217e-04 eta: 3:52:25 time: 0.6800 data_time: 0.1875 memory: 12277 loss_text: 0.0666 loss_kernel: 0.0408 loss_embedding: 0.0130 loss: 0.1204 2022/08/26 16:56:55 - mmengine - INFO - Epoch(train) [202][15/63] lr: 6.9217e-04 eta: 3:52:25 time: 0.5606 data_time: 0.0616 memory: 12277 loss_text: 0.0671 loss_kernel: 0.0410 loss_embedding: 0.0158 loss: 0.1239 2022/08/26 16:56:58 - mmengine - INFO - Epoch(train) [202][20/63] lr: 6.9217e-04 eta: 3:52:19 time: 0.5516 data_time: 0.0455 memory: 12277 loss_text: 0.0670 loss_kernel: 0.0377 loss_embedding: 0.0166 loss: 0.1213 2022/08/26 16:57:01 - mmengine - INFO - Epoch(train) [202][25/63] lr: 6.9217e-04 eta: 3:52:19 time: 0.5430 data_time: 0.0345 memory: 12277 loss_text: 0.0577 loss_kernel: 0.0365 loss_embedding: 0.0141 loss: 0.1083 2022/08/26 16:57:03 - mmengine - INFO - Epoch(train) [202][30/63] lr: 6.9217e-04 eta: 3:52:13 time: 0.5305 data_time: 0.0369 memory: 12277 loss_text: 0.0546 loss_kernel: 0.0383 loss_embedding: 0.0133 loss: 0.1062 2022/08/26 16:57:06 - mmengine - INFO - Epoch(train) [202][35/63] lr: 6.9217e-04 eta: 3:52:13 time: 0.5404 data_time: 0.0499 memory: 12277 loss_text: 0.0565 loss_kernel: 0.0372 loss_embedding: 0.0130 loss: 0.1067 2022/08/26 16:57:09 - mmengine - INFO - Epoch(train) [202][40/63] lr: 6.9217e-04 eta: 3:52:08 time: 0.5578 data_time: 0.0514 memory: 12277 loss_text: 0.0600 loss_kernel: 0.0363 loss_embedding: 0.0133 loss: 0.1096 2022/08/26 16:57:12 - mmengine - INFO - Epoch(train) [202][45/63] lr: 6.9217e-04 eta: 3:52:08 time: 0.5631 data_time: 0.0369 memory: 12277 loss_text: 0.0653 loss_kernel: 0.0392 loss_embedding: 0.0128 loss: 0.1173 2022/08/26 16:57:15 - mmengine - INFO - Epoch(train) [202][50/63] lr: 6.9217e-04 eta: 3:52:02 time: 0.5582 data_time: 0.0336 memory: 12277 loss_text: 0.0644 loss_kernel: 0.0388 loss_embedding: 0.0119 loss: 0.1151 2022/08/26 16:57:18 - mmengine - INFO - Epoch(train) [202][55/63] lr: 6.9217e-04 eta: 3:52:02 time: 0.5643 data_time: 0.0527 memory: 12277 loss_text: 0.0596 loss_kernel: 0.0362 loss_embedding: 0.0133 loss: 0.1090 2022/08/26 16:57:20 - mmengine - INFO - Epoch(train) [202][60/63] lr: 6.9217e-04 eta: 3:51:57 time: 0.5570 data_time: 0.0505 memory: 12277 loss_text: 0.0646 loss_kernel: 0.0395 loss_embedding: 0.0139 loss: 0.1179 2022/08/26 16:57:22 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:57:25 - mmengine - INFO - Epoch(train) [203][5/63] lr: 6.9060e-04 eta: 3:51:57 time: 0.6178 data_time: 0.1388 memory: 12277 loss_text: 0.0554 loss_kernel: 0.0354 loss_embedding: 0.0125 loss: 0.1033 2022/08/26 16:57:28 - mmengine - INFO - Epoch(train) [203][10/63] lr: 6.9060e-04 eta: 3:51:49 time: 0.6671 data_time: 0.1700 memory: 12277 loss_text: 0.0597 loss_kernel: 0.0353 loss_embedding: 0.0124 loss: 0.1074 2022/08/26 16:57:31 - mmengine - INFO - Epoch(train) [203][15/63] lr: 6.9060e-04 eta: 3:51:49 time: 0.5880 data_time: 0.0780 memory: 12277 loss_text: 0.0593 loss_kernel: 0.0358 loss_embedding: 0.0128 loss: 0.1078 2022/08/26 16:57:34 - mmengine - INFO - Epoch(train) [203][20/63] lr: 6.9060e-04 eta: 3:51:43 time: 0.5590 data_time: 0.0494 memory: 12277 loss_text: 0.0552 loss_kernel: 0.0358 loss_embedding: 0.0142 loss: 0.1052 2022/08/26 16:57:37 - mmengine - INFO - Epoch(train) [203][25/63] lr: 6.9060e-04 eta: 3:51:43 time: 0.6244 data_time: 0.0415 memory: 12277 loss_text: 0.0600 loss_kernel: 0.0388 loss_embedding: 0.0151 loss: 0.1138 2022/08/26 16:57:40 - mmengine - INFO - Epoch(train) [203][30/63] lr: 6.9060e-04 eta: 3:51:39 time: 0.6362 data_time: 0.0490 memory: 12277 loss_text: 0.0637 loss_kernel: 0.0402 loss_embedding: 0.0134 loss: 0.1174 2022/08/26 16:57:43 - mmengine - INFO - Epoch(train) [203][35/63] lr: 6.9060e-04 eta: 3:51:39 time: 0.5786 data_time: 0.0428 memory: 12277 loss_text: 0.0574 loss_kernel: 0.0373 loss_embedding: 0.0133 loss: 0.1081 2022/08/26 16:57:46 - mmengine - INFO - Epoch(train) [203][40/63] lr: 6.9060e-04 eta: 3:51:34 time: 0.5747 data_time: 0.0332 memory: 12277 loss_text: 0.0607 loss_kernel: 0.0389 loss_embedding: 0.0163 loss: 0.1159 2022/08/26 16:57:49 - mmengine - INFO - Epoch(train) [203][45/63] lr: 6.9060e-04 eta: 3:51:34 time: 0.6143 data_time: 0.0340 memory: 12277 loss_text: 0.0716 loss_kernel: 0.0434 loss_embedding: 0.0147 loss: 0.1297 2022/08/26 16:57:52 - mmengine - INFO - Epoch(train) [203][50/63] lr: 6.9060e-04 eta: 3:51:30 time: 0.6349 data_time: 0.0528 memory: 12277 loss_text: 0.0693 loss_kernel: 0.0417 loss_embedding: 0.0116 loss: 0.1226 2022/08/26 16:57:55 - mmengine - INFO - Epoch(train) [203][55/63] lr: 6.9060e-04 eta: 3:51:30 time: 0.5594 data_time: 0.0503 memory: 12277 loss_text: 0.0666 loss_kernel: 0.0419 loss_embedding: 0.0132 loss: 0.1217 2022/08/26 16:57:58 - mmengine - INFO - Epoch(train) [203][60/63] lr: 6.9060e-04 eta: 3:51:24 time: 0.5232 data_time: 0.0347 memory: 12277 loss_text: 0.0658 loss_kernel: 0.0417 loss_embedding: 0.0136 loss: 0.1211 2022/08/26 16:57:59 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:58:03 - mmengine - INFO - Epoch(train) [204][5/63] lr: 6.8904e-04 eta: 3:51:24 time: 0.6543 data_time: 0.1767 memory: 12277 loss_text: 0.0519 loss_kernel: 0.0321 loss_embedding: 0.0124 loss: 0.0964 2022/08/26 16:58:06 - mmengine - INFO - Epoch(train) [204][10/63] lr: 6.8904e-04 eta: 3:51:16 time: 0.7034 data_time: 0.1908 memory: 12277 loss_text: 0.0513 loss_kernel: 0.0318 loss_embedding: 0.0130 loss: 0.0962 2022/08/26 16:58:09 - mmengine - INFO - Epoch(train) [204][15/63] lr: 6.8904e-04 eta: 3:51:16 time: 0.6079 data_time: 0.0436 memory: 12277 loss_text: 0.0537 loss_kernel: 0.0330 loss_embedding: 0.0114 loss: 0.0981 2022/08/26 16:58:12 - mmengine - INFO - Epoch(train) [204][20/63] lr: 6.8904e-04 eta: 3:51:12 time: 0.6110 data_time: 0.0359 memory: 12277 loss_text: 0.0628 loss_kernel: 0.0366 loss_embedding: 0.0107 loss: 0.1100 2022/08/26 16:58:16 - mmengine - INFO - Epoch(train) [204][25/63] lr: 6.8904e-04 eta: 3:51:12 time: 0.6596 data_time: 0.0416 memory: 12277 loss_text: 0.0691 loss_kernel: 0.0433 loss_embedding: 0.0139 loss: 0.1263 2022/08/26 16:58:21 - mmengine - INFO - Epoch(train) [204][30/63] lr: 6.8904e-04 eta: 3:51:13 time: 0.8827 data_time: 0.0419 memory: 12277 loss_text: 0.0645 loss_kernel: 0.0440 loss_embedding: 0.0139 loss: 0.1224 2022/08/26 16:58:24 - mmengine - INFO - Epoch(train) [204][35/63] lr: 6.8904e-04 eta: 3:51:13 time: 0.7929 data_time: 0.0389 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0373 loss_embedding: 0.0121 loss: 0.1059 2022/08/26 16:58:26 - mmengine - INFO - Epoch(train) [204][40/63] lr: 6.8904e-04 eta: 3:51:07 time: 0.5649 data_time: 0.0325 memory: 12277 loss_text: 0.0589 loss_kernel: 0.0351 loss_embedding: 0.0133 loss: 0.1074 2022/08/26 16:58:30 - mmengine - INFO - Epoch(train) [204][45/63] lr: 6.8904e-04 eta: 3:51:07 time: 0.6280 data_time: 0.0334 memory: 12277 loss_text: 0.0608 loss_kernel: 0.0352 loss_embedding: 0.0125 loss: 0.1085 2022/08/26 16:58:33 - mmengine - INFO - Epoch(train) [204][50/63] lr: 6.8904e-04 eta: 3:51:03 time: 0.6282 data_time: 0.0326 memory: 12277 loss_text: 0.0597 loss_kernel: 0.0346 loss_embedding: 0.0121 loss: 0.1064 2022/08/26 16:58:36 - mmengine - INFO - Epoch(train) [204][55/63] lr: 6.8904e-04 eta: 3:51:03 time: 0.5567 data_time: 0.0259 memory: 12277 loss_text: 0.0805 loss_kernel: 0.0437 loss_embedding: 0.0130 loss: 0.1372 2022/08/26 16:58:39 - mmengine - INFO - Epoch(train) [204][60/63] lr: 6.8904e-04 eta: 3:50:59 time: 0.6081 data_time: 0.0248 memory: 12277 loss_text: 0.0833 loss_kernel: 0.0467 loss_embedding: 0.0133 loss: 0.1433 2022/08/26 16:58:40 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:58:45 - mmengine - INFO - Epoch(train) [205][5/63] lr: 6.8747e-04 eta: 3:50:59 time: 0.7415 data_time: 0.2072 memory: 12277 loss_text: 0.0712 loss_kernel: 0.0400 loss_embedding: 0.0118 loss: 0.1230 2022/08/26 16:58:48 - mmengine - INFO - Epoch(train) [205][10/63] lr: 6.8747e-04 eta: 3:50:53 time: 0.7964 data_time: 0.2025 memory: 12277 loss_text: 0.0601 loss_kernel: 0.0366 loss_embedding: 0.0111 loss: 0.1078 2022/08/26 16:58:51 - mmengine - INFO - Epoch(train) [205][15/63] lr: 6.8747e-04 eta: 3:50:53 time: 0.6183 data_time: 0.0256 memory: 12277 loss_text: 0.0677 loss_kernel: 0.0367 loss_embedding: 0.0117 loss: 0.1160 2022/08/26 16:58:54 - mmengine - INFO - Epoch(train) [205][20/63] lr: 6.8747e-04 eta: 3:50:48 time: 0.6095 data_time: 0.0459 memory: 12277 loss_text: 0.0725 loss_kernel: 0.0411 loss_embedding: 0.0118 loss: 0.1254 2022/08/26 16:58:57 - mmengine - INFO - Epoch(train) [205][25/63] lr: 6.8747e-04 eta: 3:50:48 time: 0.5834 data_time: 0.0440 memory: 12277 loss_text: 0.0711 loss_kernel: 0.0434 loss_embedding: 0.0121 loss: 0.1265 2022/08/26 16:59:00 - mmengine - INFO - Epoch(train) [205][30/63] lr: 6.8747e-04 eta: 3:50:42 time: 0.5229 data_time: 0.0278 memory: 12277 loss_text: 0.0690 loss_kernel: 0.0423 loss_embedding: 0.0118 loss: 0.1231 2022/08/26 16:59:02 - mmengine - INFO - Epoch(train) [205][35/63] lr: 6.8747e-04 eta: 3:50:42 time: 0.5241 data_time: 0.0332 memory: 12277 loss_text: 0.0578 loss_kernel: 0.0370 loss_embedding: 0.0109 loss: 0.1058 2022/08/26 16:59:05 - mmengine - INFO - Epoch(train) [205][40/63] lr: 6.8747e-04 eta: 3:50:36 time: 0.5371 data_time: 0.0466 memory: 12277 loss_text: 0.0592 loss_kernel: 0.0350 loss_embedding: 0.0129 loss: 0.1071 2022/08/26 16:59:08 - mmengine - INFO - Epoch(train) [205][45/63] lr: 6.8747e-04 eta: 3:50:36 time: 0.5623 data_time: 0.0465 memory: 12277 loss_text: 0.0636 loss_kernel: 0.0376 loss_embedding: 0.0141 loss: 0.1153 2022/08/26 16:59:11 - mmengine - INFO - Epoch(train) [205][50/63] lr: 6.8747e-04 eta: 3:50:31 time: 0.5602 data_time: 0.0332 memory: 12277 loss_text: 0.0592 loss_kernel: 0.0371 loss_embedding: 0.0127 loss: 0.1091 2022/08/26 16:59:13 - mmengine - INFO - Epoch(train) [205][55/63] lr: 6.8747e-04 eta: 3:50:31 time: 0.5446 data_time: 0.0325 memory: 12277 loss_text: 0.0562 loss_kernel: 0.0372 loss_embedding: 0.0119 loss: 0.1054 2022/08/26 16:59:16 - mmengine - INFO - Epoch(train) [205][60/63] lr: 6.8747e-04 eta: 3:50:25 time: 0.5543 data_time: 0.0484 memory: 12277 loss_text: 0.0538 loss_kernel: 0.0366 loss_embedding: 0.0124 loss: 0.1027 2022/08/26 16:59:18 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:59:22 - mmengine - INFO - Epoch(train) [206][5/63] lr: 6.8590e-04 eta: 3:50:25 time: 0.7032 data_time: 0.1749 memory: 12277 loss_text: 0.0647 loss_kernel: 0.0397 loss_embedding: 0.0133 loss: 0.1177 2022/08/26 16:59:25 - mmengine - INFO - Epoch(train) [206][10/63] lr: 6.8590e-04 eta: 3:50:18 time: 0.7181 data_time: 0.1867 memory: 12277 loss_text: 0.0654 loss_kernel: 0.0380 loss_embedding: 0.0124 loss: 0.1158 2022/08/26 16:59:28 - mmengine - INFO - Epoch(train) [206][15/63] lr: 6.8590e-04 eta: 3:50:18 time: 0.5682 data_time: 0.0567 memory: 12277 loss_text: 0.0600 loss_kernel: 0.0371 loss_embedding: 0.0119 loss: 0.1090 2022/08/26 16:59:30 - mmengine - INFO - Epoch(train) [206][20/63] lr: 6.8590e-04 eta: 3:50:12 time: 0.5497 data_time: 0.0456 memory: 12277 loss_text: 0.0505 loss_kernel: 0.0349 loss_embedding: 0.0146 loss: 0.1000 2022/08/26 16:59:33 - mmengine - INFO - Epoch(train) [206][25/63] lr: 6.8590e-04 eta: 3:50:12 time: 0.5302 data_time: 0.0308 memory: 12277 loss_text: 0.0592 loss_kernel: 0.0379 loss_embedding: 0.0133 loss: 0.1103 2022/08/26 16:59:36 - mmengine - INFO - Epoch(train) [206][30/63] lr: 6.8590e-04 eta: 3:50:06 time: 0.5200 data_time: 0.0303 memory: 12277 loss_text: 0.0586 loss_kernel: 0.0363 loss_embedding: 0.0105 loss: 0.1053 2022/08/26 16:59:39 - mmengine - INFO - Epoch(train) [206][35/63] lr: 6.8590e-04 eta: 3:50:06 time: 0.6249 data_time: 0.0487 memory: 12277 loss_text: 0.0560 loss_kernel: 0.0357 loss_embedding: 0.0121 loss: 0.1038 2022/08/26 16:59:42 - mmengine - INFO - Epoch(train) [206][40/63] lr: 6.8590e-04 eta: 3:50:02 time: 0.6287 data_time: 0.0513 memory: 12277 loss_text: 0.0559 loss_kernel: 0.0363 loss_embedding: 0.0131 loss: 0.1052 2022/08/26 16:59:45 - mmengine - INFO - Epoch(train) [206][45/63] lr: 6.8590e-04 eta: 3:50:02 time: 0.5267 data_time: 0.0342 memory: 12277 loss_text: 0.0500 loss_kernel: 0.0345 loss_embedding: 0.0139 loss: 0.0984 2022/08/26 16:59:47 - mmengine - INFO - Epoch(train) [206][50/63] lr: 6.8590e-04 eta: 3:49:56 time: 0.5266 data_time: 0.0338 memory: 12277 loss_text: 0.0527 loss_kernel: 0.0358 loss_embedding: 0.0125 loss: 0.1011 2022/08/26 16:59:50 - mmengine - INFO - Epoch(train) [206][55/63] lr: 6.8590e-04 eta: 3:49:56 time: 0.5505 data_time: 0.0486 memory: 12277 loss_text: 0.0545 loss_kernel: 0.0347 loss_embedding: 0.0107 loss: 0.0999 2022/08/26 16:59:53 - mmengine - INFO - Epoch(train) [206][60/63] lr: 6.8590e-04 eta: 3:49:50 time: 0.5579 data_time: 0.0456 memory: 12277 loss_text: 0.0572 loss_kernel: 0.0354 loss_embedding: 0.0123 loss: 0.1048 2022/08/26 16:59:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 16:59:59 - mmengine - INFO - Epoch(train) [207][5/63] lr: 6.8434e-04 eta: 3:49:50 time: 0.7354 data_time: 0.2163 memory: 12277 loss_text: 0.0714 loss_kernel: 0.0448 loss_embedding: 0.0135 loss: 0.1296 2022/08/26 17:00:02 - mmengine - INFO - Epoch(train) [207][10/63] lr: 6.8434e-04 eta: 3:49:44 time: 0.7884 data_time: 0.2326 memory: 12277 loss_text: 0.0576 loss_kernel: 0.0351 loss_embedding: 0.0146 loss: 0.1073 2022/08/26 17:00:05 - mmengine - INFO - Epoch(train) [207][15/63] lr: 6.8434e-04 eta: 3:49:44 time: 0.5656 data_time: 0.0514 memory: 12277 loss_text: 0.0642 loss_kernel: 0.0380 loss_embedding: 0.0133 loss: 0.1155 2022/08/26 17:00:07 - mmengine - INFO - Epoch(train) [207][20/63] lr: 6.8434e-04 eta: 3:49:38 time: 0.5367 data_time: 0.0384 memory: 12277 loss_text: 0.0634 loss_kernel: 0.0390 loss_embedding: 0.0121 loss: 0.1145 2022/08/26 17:00:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:00:10 - mmengine - INFO - Epoch(train) [207][25/63] lr: 6.8434e-04 eta: 3:49:38 time: 0.5247 data_time: 0.0342 memory: 12277 loss_text: 0.0610 loss_kernel: 0.0379 loss_embedding: 0.0110 loss: 0.1099 2022/08/26 17:00:13 - mmengine - INFO - Epoch(train) [207][30/63] lr: 6.8434e-04 eta: 3:49:33 time: 0.5636 data_time: 0.0562 memory: 12277 loss_text: 0.0592 loss_kernel: 0.0364 loss_embedding: 0.0119 loss: 0.1075 2022/08/26 17:00:16 - mmengine - INFO - Epoch(train) [207][35/63] lr: 6.8434e-04 eta: 3:49:33 time: 0.5834 data_time: 0.0629 memory: 12277 loss_text: 0.0589 loss_kernel: 0.0362 loss_embedding: 0.0145 loss: 0.1096 2022/08/26 17:00:18 - mmengine - INFO - Epoch(train) [207][40/63] lr: 6.8434e-04 eta: 3:49:27 time: 0.5415 data_time: 0.0387 memory: 12277 loss_text: 0.0618 loss_kernel: 0.0381 loss_embedding: 0.0149 loss: 0.1148 2022/08/26 17:00:21 - mmengine - INFO - Epoch(train) [207][45/63] lr: 6.8434e-04 eta: 3:49:27 time: 0.5205 data_time: 0.0309 memory: 12277 loss_text: 0.0577 loss_kernel: 0.0355 loss_embedding: 0.0148 loss: 0.1079 2022/08/26 17:00:24 - mmengine - INFO - Epoch(train) [207][50/63] lr: 6.8434e-04 eta: 3:49:21 time: 0.5348 data_time: 0.0446 memory: 12277 loss_text: 0.0618 loss_kernel: 0.0378 loss_embedding: 0.0145 loss: 0.1140 2022/08/26 17:00:26 - mmengine - INFO - Epoch(train) [207][55/63] lr: 6.8434e-04 eta: 3:49:21 time: 0.5385 data_time: 0.0463 memory: 12277 loss_text: 0.0697 loss_kernel: 0.0404 loss_embedding: 0.0120 loss: 0.1221 2022/08/26 17:00:30 - mmengine - INFO - Epoch(train) [207][60/63] lr: 6.8434e-04 eta: 3:49:17 time: 0.6347 data_time: 0.0438 memory: 12277 loss_text: 0.0677 loss_kernel: 0.0393 loss_embedding: 0.0116 loss: 0.1186 2022/08/26 17:00:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:00:36 - mmengine - INFO - Epoch(train) [208][5/63] lr: 6.8277e-04 eta: 3:49:17 time: 0.7092 data_time: 0.2072 memory: 12277 loss_text: 0.0639 loss_kernel: 0.0404 loss_embedding: 0.0132 loss: 0.1175 2022/08/26 17:00:39 - mmengine - INFO - Epoch(train) [208][10/63] lr: 6.8277e-04 eta: 3:49:10 time: 0.7529 data_time: 0.2149 memory: 12277 loss_text: 0.0616 loss_kernel: 0.0393 loss_embedding: 0.0141 loss: 0.1150 2022/08/26 17:00:42 - mmengine - INFO - Epoch(train) [208][15/63] lr: 6.8277e-04 eta: 3:49:10 time: 0.5618 data_time: 0.0396 memory: 12277 loss_text: 0.0540 loss_kernel: 0.0351 loss_embedding: 0.0125 loss: 0.1015 2022/08/26 17:00:45 - mmengine - INFO - Epoch(train) [208][20/63] lr: 6.8277e-04 eta: 3:49:05 time: 0.5623 data_time: 0.0315 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0362 loss_embedding: 0.0111 loss: 0.1039 2022/08/26 17:00:48 - mmengine - INFO - Epoch(train) [208][25/63] lr: 6.8277e-04 eta: 3:49:05 time: 0.6106 data_time: 0.0666 memory: 12277 loss_text: 0.0560 loss_kernel: 0.0356 loss_embedding: 0.0112 loss: 0.1027 2022/08/26 17:00:51 - mmengine - INFO - Epoch(train) [208][30/63] lr: 6.8277e-04 eta: 3:49:00 time: 0.6084 data_time: 0.0819 memory: 12277 loss_text: 0.0576 loss_kernel: 0.0376 loss_embedding: 0.0110 loss: 0.1062 2022/08/26 17:00:54 - mmengine - INFO - Epoch(train) [208][35/63] lr: 6.8277e-04 eta: 3:49:00 time: 0.5483 data_time: 0.0493 memory: 12277 loss_text: 0.0674 loss_kernel: 0.0409 loss_embedding: 0.0116 loss: 0.1199 2022/08/26 17:00:56 - mmengine - INFO - Epoch(train) [208][40/63] lr: 6.8277e-04 eta: 3:48:55 time: 0.5397 data_time: 0.0332 memory: 12277 loss_text: 0.0686 loss_kernel: 0.0366 loss_embedding: 0.0111 loss: 0.1163 2022/08/26 17:01:01 - mmengine - INFO - Epoch(train) [208][45/63] lr: 6.8277e-04 eta: 3:48:55 time: 0.7007 data_time: 0.0355 memory: 12277 loss_text: 0.0670 loss_kernel: 0.0345 loss_embedding: 0.0107 loss: 0.1122 2022/08/26 17:01:03 - mmengine - INFO - Epoch(train) [208][50/63] lr: 6.8277e-04 eta: 3:48:52 time: 0.6948 data_time: 0.0513 memory: 12277 loss_text: 0.0610 loss_kernel: 0.0337 loss_embedding: 0.0114 loss: 0.1060 2022/08/26 17:01:06 - mmengine - INFO - Epoch(train) [208][55/63] lr: 6.8277e-04 eta: 3:48:52 time: 0.5235 data_time: 0.0463 memory: 12277 loss_text: 0.0546 loss_kernel: 0.0339 loss_embedding: 0.0110 loss: 0.0996 2022/08/26 17:01:08 - mmengine - INFO - Epoch(train) [208][60/63] lr: 6.8277e-04 eta: 3:48:45 time: 0.5167 data_time: 0.0299 memory: 12277 loss_text: 0.0581 loss_kernel: 0.0357 loss_embedding: 0.0116 loss: 0.1054 2022/08/26 17:01:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:01:14 - mmengine - INFO - Epoch(train) [209][5/63] lr: 6.8120e-04 eta: 3:48:45 time: 0.7067 data_time: 0.2067 memory: 12277 loss_text: 0.0505 loss_kernel: 0.0324 loss_embedding: 0.0122 loss: 0.0951 2022/08/26 17:01:18 - mmengine - INFO - Epoch(train) [209][10/63] lr: 6.8120e-04 eta: 3:48:39 time: 0.7760 data_time: 0.2230 memory: 12277 loss_text: 0.0639 loss_kernel: 0.0364 loss_embedding: 0.0119 loss: 0.1121 2022/08/26 17:01:20 - mmengine - INFO - Epoch(train) [209][15/63] lr: 6.8120e-04 eta: 3:48:39 time: 0.5859 data_time: 0.0486 memory: 12277 loss_text: 0.0683 loss_kernel: 0.0373 loss_embedding: 0.0124 loss: 0.1180 2022/08/26 17:01:23 - mmengine - INFO - Epoch(train) [209][20/63] lr: 6.8120e-04 eta: 3:48:34 time: 0.5570 data_time: 0.0352 memory: 12277 loss_text: 0.0767 loss_kernel: 0.0432 loss_embedding: 0.0153 loss: 0.1353 2022/08/26 17:01:26 - mmengine - INFO - Epoch(train) [209][25/63] lr: 6.8120e-04 eta: 3:48:34 time: 0.5445 data_time: 0.0377 memory: 12277 loss_text: 0.0939 loss_kernel: 0.0521 loss_embedding: 0.0139 loss: 0.1599 2022/08/26 17:01:29 - mmengine - INFO - Epoch(train) [209][30/63] lr: 6.8120e-04 eta: 3:48:29 time: 0.5973 data_time: 0.0562 memory: 12277 loss_text: 0.0748 loss_kernel: 0.0433 loss_embedding: 0.0122 loss: 0.1303 2022/08/26 17:01:32 - mmengine - INFO - Epoch(train) [209][35/63] lr: 6.8120e-04 eta: 3:48:29 time: 0.6016 data_time: 0.0550 memory: 12277 loss_text: 0.0590 loss_kernel: 0.0343 loss_embedding: 0.0128 loss: 0.1061 2022/08/26 17:01:34 - mmengine - INFO - Epoch(train) [209][40/63] lr: 6.8120e-04 eta: 3:48:23 time: 0.5361 data_time: 0.0352 memory: 12277 loss_text: 0.0585 loss_kernel: 0.0362 loss_embedding: 0.0115 loss: 0.1062 2022/08/26 17:01:37 - mmengine - INFO - Epoch(train) [209][45/63] lr: 6.8120e-04 eta: 3:48:23 time: 0.5178 data_time: 0.0332 memory: 12277 loss_text: 0.0539 loss_kernel: 0.0362 loss_embedding: 0.0104 loss: 0.1004 2022/08/26 17:01:40 - mmengine - INFO - Epoch(train) [209][50/63] lr: 6.8120e-04 eta: 3:48:18 time: 0.5667 data_time: 0.0510 memory: 12277 loss_text: 0.0531 loss_kernel: 0.0355 loss_embedding: 0.0111 loss: 0.0997 2022/08/26 17:01:43 - mmengine - INFO - Epoch(train) [209][55/63] lr: 6.8120e-04 eta: 3:48:18 time: 0.5953 data_time: 0.0545 memory: 12277 loss_text: 0.0698 loss_kernel: 0.0363 loss_embedding: 0.0140 loss: 0.1200 2022/08/26 17:01:45 - mmengine - INFO - Epoch(train) [209][60/63] lr: 6.8120e-04 eta: 3:48:12 time: 0.5433 data_time: 0.0332 memory: 12277 loss_text: 0.0687 loss_kernel: 0.0348 loss_embedding: 0.0129 loss: 0.1164 2022/08/26 17:01:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:01:51 - mmengine - INFO - Epoch(train) [210][5/63] lr: 6.7963e-04 eta: 3:48:12 time: 0.6805 data_time: 0.2047 memory: 12277 loss_text: 0.0508 loss_kernel: 0.0347 loss_embedding: 0.0135 loss: 0.0990 2022/08/26 17:01:54 - mmengine - INFO - Epoch(train) [210][10/63] lr: 6.7963e-04 eta: 3:48:05 time: 0.7289 data_time: 0.2237 memory: 12277 loss_text: 0.0497 loss_kernel: 0.0333 loss_embedding: 0.0134 loss: 0.0964 2022/08/26 17:01:57 - mmengine - INFO - Epoch(train) [210][15/63] lr: 6.7963e-04 eta: 3:48:05 time: 0.5330 data_time: 0.0488 memory: 12277 loss_text: 0.0693 loss_kernel: 0.0423 loss_embedding: 0.0115 loss: 0.1231 2022/08/26 17:01:59 - mmengine - INFO - Epoch(train) [210][20/63] lr: 6.7963e-04 eta: 3:47:59 time: 0.5264 data_time: 0.0323 memory: 12277 loss_text: 0.0770 loss_kernel: 0.0457 loss_embedding: 0.0113 loss: 0.1340 2022/08/26 17:02:02 - mmengine - INFO - Epoch(train) [210][25/63] lr: 6.7963e-04 eta: 3:47:59 time: 0.5831 data_time: 0.0354 memory: 12277 loss_text: 0.0594 loss_kernel: 0.0374 loss_embedding: 0.0127 loss: 0.1095 2022/08/26 17:02:05 - mmengine - INFO - Epoch(train) [210][30/63] lr: 6.7963e-04 eta: 3:47:54 time: 0.5951 data_time: 0.0493 memory: 12277 loss_text: 0.0564 loss_kernel: 0.0367 loss_embedding: 0.0129 loss: 0.1061 2022/08/26 17:02:08 - mmengine - INFO - Epoch(train) [210][35/63] lr: 6.7963e-04 eta: 3:47:54 time: 0.5575 data_time: 0.0483 memory: 12277 loss_text: 0.0593 loss_kernel: 0.0374 loss_embedding: 0.0118 loss: 0.1085 2022/08/26 17:02:11 - mmengine - INFO - Epoch(train) [210][40/63] lr: 6.7963e-04 eta: 3:47:48 time: 0.5334 data_time: 0.0342 memory: 12277 loss_text: 0.0567 loss_kernel: 0.0349 loss_embedding: 0.0116 loss: 0.1032 2022/08/26 17:02:13 - mmengine - INFO - Epoch(train) [210][45/63] lr: 6.7963e-04 eta: 3:47:48 time: 0.5395 data_time: 0.0360 memory: 12277 loss_text: 0.0547 loss_kernel: 0.0330 loss_embedding: 0.0119 loss: 0.0995 2022/08/26 17:02:16 - mmengine - INFO - Epoch(train) [210][50/63] lr: 6.7963e-04 eta: 3:47:42 time: 0.5651 data_time: 0.0542 memory: 12277 loss_text: 0.0529 loss_kernel: 0.0331 loss_embedding: 0.0115 loss: 0.0976 2022/08/26 17:02:20 - mmengine - INFO - Epoch(train) [210][55/63] lr: 6.7963e-04 eta: 3:47:42 time: 0.6564 data_time: 0.0573 memory: 12277 loss_text: 0.0524 loss_kernel: 0.0341 loss_embedding: 0.0111 loss: 0.0977 2022/08/26 17:02:23 - mmengine - INFO - Epoch(train) [210][60/63] lr: 6.7963e-04 eta: 3:47:38 time: 0.6272 data_time: 0.0367 memory: 12277 loss_text: 0.0553 loss_kernel: 0.0344 loss_embedding: 0.0120 loss: 0.1018 2022/08/26 17:02:24 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:02:28 - mmengine - INFO - Epoch(train) [211][5/63] lr: 6.7806e-04 eta: 3:47:38 time: 0.6250 data_time: 0.1494 memory: 12277 loss_text: 0.0505 loss_kernel: 0.0325 loss_embedding: 0.0119 loss: 0.0949 2022/08/26 17:02:31 - mmengine - INFO - Epoch(train) [211][10/63] lr: 6.7806e-04 eta: 3:47:30 time: 0.6857 data_time: 0.1826 memory: 12277 loss_text: 0.0570 loss_kernel: 0.0352 loss_embedding: 0.0109 loss: 0.1030 2022/08/26 17:02:34 - mmengine - INFO - Epoch(train) [211][15/63] lr: 6.7806e-04 eta: 3:47:30 time: 0.5745 data_time: 0.0616 memory: 12277 loss_text: 0.0604 loss_kernel: 0.0379 loss_embedding: 0.0128 loss: 0.1111 2022/08/26 17:02:36 - mmengine - INFO - Epoch(train) [211][20/63] lr: 6.7806e-04 eta: 3:47:25 time: 0.5480 data_time: 0.0334 memory: 12277 loss_text: 0.0599 loss_kernel: 0.0384 loss_embedding: 0.0136 loss: 0.1119 2022/08/26 17:02:40 - mmengine - INFO - Epoch(train) [211][25/63] lr: 6.7806e-04 eta: 3:47:25 time: 0.6328 data_time: 0.0400 memory: 12277 loss_text: 0.0674 loss_kernel: 0.0388 loss_embedding: 0.0126 loss: 0.1188 2022/08/26 17:02:43 - mmengine - INFO - Epoch(train) [211][30/63] lr: 6.7806e-04 eta: 3:47:21 time: 0.6414 data_time: 0.0527 memory: 12277 loss_text: 0.0676 loss_kernel: 0.0355 loss_embedding: 0.0129 loss: 0.1161 2022/08/26 17:02:45 - mmengine - INFO - Epoch(train) [211][35/63] lr: 6.7806e-04 eta: 3:47:21 time: 0.5484 data_time: 0.0473 memory: 12277 loss_text: 0.0597 loss_kernel: 0.0341 loss_embedding: 0.0125 loss: 0.1063 2022/08/26 17:02:48 - mmengine - INFO - Epoch(train) [211][40/63] lr: 6.7806e-04 eta: 3:47:15 time: 0.5376 data_time: 0.0314 memory: 12277 loss_text: 0.0548 loss_kernel: 0.0346 loss_embedding: 0.0120 loss: 0.1014 2022/08/26 17:02:51 - mmengine - INFO - Epoch(train) [211][45/63] lr: 6.7806e-04 eta: 3:47:15 time: 0.5280 data_time: 0.0330 memory: 12277 loss_text: 0.0665 loss_kernel: 0.0389 loss_embedding: 0.0128 loss: 0.1182 2022/08/26 17:02:54 - mmengine - INFO - Epoch(train) [211][50/63] lr: 6.7806e-04 eta: 3:47:10 time: 0.6047 data_time: 0.0532 memory: 12277 loss_text: 0.0690 loss_kernel: 0.0393 loss_embedding: 0.0135 loss: 0.1218 2022/08/26 17:02:57 - mmengine - INFO - Epoch(train) [211][55/63] lr: 6.7806e-04 eta: 3:47:10 time: 0.6118 data_time: 0.0523 memory: 12277 loss_text: 0.0559 loss_kernel: 0.0341 loss_embedding: 0.0133 loss: 0.1033 2022/08/26 17:02:59 - mmengine - INFO - Epoch(train) [211][60/63] lr: 6.7806e-04 eta: 3:47:04 time: 0.5316 data_time: 0.0319 memory: 12277 loss_text: 0.0648 loss_kernel: 0.0396 loss_embedding: 0.0121 loss: 0.1165 2022/08/26 17:03:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:03:07 - mmengine - INFO - Epoch(train) [212][5/63] lr: 6.7649e-04 eta: 3:47:04 time: 0.8198 data_time: 0.2874 memory: 12277 loss_text: 0.0741 loss_kernel: 0.0429 loss_embedding: 0.0151 loss: 0.1321 2022/08/26 17:03:10 - mmengine - INFO - Epoch(train) [212][10/63] lr: 6.7649e-04 eta: 3:47:00 time: 0.8710 data_time: 0.3059 memory: 12277 loss_text: 0.0673 loss_kernel: 0.0397 loss_embedding: 0.0159 loss: 0.1228 2022/08/26 17:03:12 - mmengine - INFO - Epoch(train) [212][15/63] lr: 6.7649e-04 eta: 3:47:00 time: 0.5408 data_time: 0.0451 memory: 12277 loss_text: 0.0556 loss_kernel: 0.0354 loss_embedding: 0.0142 loss: 0.1052 2022/08/26 17:03:15 - mmengine - INFO - Epoch(train) [212][20/63] lr: 6.7649e-04 eta: 3:46:54 time: 0.5552 data_time: 0.0409 memory: 12277 loss_text: 0.0540 loss_kernel: 0.0378 loss_embedding: 0.0136 loss: 0.1054 2022/08/26 17:03:18 - mmengine - INFO - Epoch(train) [212][25/63] lr: 6.7649e-04 eta: 3:46:54 time: 0.6081 data_time: 0.0520 memory: 12277 loss_text: 0.0564 loss_kernel: 0.0369 loss_embedding: 0.0127 loss: 0.1060 2022/08/26 17:03:21 - mmengine - INFO - Epoch(train) [212][30/63] lr: 6.7649e-04 eta: 3:46:49 time: 0.5983 data_time: 0.0569 memory: 12277 loss_text: 0.0737 loss_kernel: 0.0433 loss_embedding: 0.0110 loss: 0.1280 2022/08/26 17:03:24 - mmengine - INFO - Epoch(train) [212][35/63] lr: 6.7649e-04 eta: 3:46:49 time: 0.5558 data_time: 0.0523 memory: 12277 loss_text: 0.0663 loss_kernel: 0.0425 loss_embedding: 0.0126 loss: 0.1215 2022/08/26 17:03:27 - mmengine - INFO - Epoch(train) [212][40/63] lr: 6.7649e-04 eta: 3:46:43 time: 0.5266 data_time: 0.0348 memory: 12277 loss_text: 0.0497 loss_kernel: 0.0329 loss_embedding: 0.0124 loss: 0.0950 2022/08/26 17:03:31 - mmengine - INFO - Epoch(train) [212][45/63] lr: 6.7649e-04 eta: 3:46:43 time: 0.7330 data_time: 0.0351 memory: 12277 loss_text: 0.0688 loss_kernel: 0.0407 loss_embedding: 0.0134 loss: 0.1229 2022/08/26 17:03:36 - mmengine - INFO - Epoch(train) [212][50/63] lr: 6.7649e-04 eta: 3:46:44 time: 0.9280 data_time: 0.0374 memory: 12277 loss_text: 0.0753 loss_kernel: 0.0453 loss_embedding: 0.0151 loss: 0.1357 2022/08/26 17:03:39 - mmengine - INFO - Epoch(train) [212][55/63] lr: 6.7649e-04 eta: 3:46:44 time: 0.7650 data_time: 0.0307 memory: 12277 loss_text: 0.0641 loss_kernel: 0.0371 loss_embedding: 0.0150 loss: 0.1162 2022/08/26 17:03:42 - mmengine - INFO - Epoch(train) [212][60/63] lr: 6.7649e-04 eta: 3:46:40 time: 0.6088 data_time: 0.0238 memory: 12277 loss_text: 0.0567 loss_kernel: 0.0362 loss_embedding: 0.0144 loss: 0.1074 2022/08/26 17:03:43 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:03:48 - mmengine - INFO - Epoch(train) [213][5/63] lr: 6.7493e-04 eta: 3:46:40 time: 0.7328 data_time: 0.2033 memory: 12277 loss_text: 0.0637 loss_kernel: 0.0378 loss_embedding: 0.0157 loss: 0.1173 2022/08/26 17:03:51 - mmengine - INFO - Epoch(train) [213][10/63] lr: 6.7493e-04 eta: 3:46:34 time: 0.7911 data_time: 0.2115 memory: 12277 loss_text: 0.0768 loss_kernel: 0.0442 loss_embedding: 0.0153 loss: 0.1363 2022/08/26 17:03:54 - mmengine - INFO - Epoch(train) [213][15/63] lr: 6.7493e-04 eta: 3:46:34 time: 0.5936 data_time: 0.0309 memory: 12277 loss_text: 0.0721 loss_kernel: 0.0443 loss_embedding: 0.0121 loss: 0.1284 2022/08/26 17:03:57 - mmengine - INFO - Epoch(train) [213][20/63] lr: 6.7493e-04 eta: 3:46:28 time: 0.5726 data_time: 0.0257 memory: 12277 loss_text: 0.0585 loss_kernel: 0.0375 loss_embedding: 0.0114 loss: 0.1073 2022/08/26 17:04:00 - mmengine - INFO - Epoch(train) [213][25/63] lr: 6.7493e-04 eta: 3:46:28 time: 0.5853 data_time: 0.0344 memory: 12277 loss_text: 0.0564 loss_kernel: 0.0349 loss_embedding: 0.0110 loss: 0.1023 2022/08/26 17:04:03 - mmengine - INFO - Epoch(train) [213][30/63] lr: 6.7493e-04 eta: 3:46:24 time: 0.5959 data_time: 0.0376 memory: 12277 loss_text: 0.0590 loss_kernel: 0.0387 loss_embedding: 0.0114 loss: 0.1091 2022/08/26 17:04:06 - mmengine - INFO - Epoch(train) [213][35/63] lr: 6.7493e-04 eta: 3:46:24 time: 0.5636 data_time: 0.0310 memory: 12277 loss_text: 0.0564 loss_kernel: 0.0385 loss_embedding: 0.0129 loss: 0.1079 2022/08/26 17:04:09 - mmengine - INFO - Epoch(train) [213][40/63] lr: 6.7493e-04 eta: 3:46:18 time: 0.5721 data_time: 0.0507 memory: 12277 loss_text: 0.0541 loss_kernel: 0.0364 loss_embedding: 0.0120 loss: 0.1025 2022/08/26 17:04:11 - mmengine - INFO - Epoch(train) [213][45/63] lr: 6.7493e-04 eta: 3:46:18 time: 0.5631 data_time: 0.0571 memory: 12277 loss_text: 0.0522 loss_kernel: 0.0352 loss_embedding: 0.0109 loss: 0.0983 2022/08/26 17:04:14 - mmengine - INFO - Epoch(train) [213][50/63] lr: 6.7493e-04 eta: 3:46:13 time: 0.5455 data_time: 0.0433 memory: 12277 loss_text: 0.0580 loss_kernel: 0.0355 loss_embedding: 0.0118 loss: 0.1053 2022/08/26 17:04:17 - mmengine - INFO - Epoch(train) [213][55/63] lr: 6.7493e-04 eta: 3:46:13 time: 0.5371 data_time: 0.0438 memory: 12277 loss_text: 0.0572 loss_kernel: 0.0363 loss_embedding: 0.0135 loss: 0.1070 2022/08/26 17:04:20 - mmengine - INFO - Epoch(train) [213][60/63] lr: 6.7493e-04 eta: 3:46:07 time: 0.5466 data_time: 0.0476 memory: 12277 loss_text: 0.0482 loss_kernel: 0.0347 loss_embedding: 0.0129 loss: 0.0958 2022/08/26 17:04:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:04:25 - mmengine - INFO - Epoch(train) [214][5/63] lr: 6.7336e-04 eta: 3:46:07 time: 0.6506 data_time: 0.1838 memory: 12277 loss_text: 0.0520 loss_kernel: 0.0361 loss_embedding: 0.0137 loss: 0.1019 2022/08/26 17:04:28 - mmengine - INFO - Epoch(train) [214][10/63] lr: 6.7336e-04 eta: 3:45:59 time: 0.6964 data_time: 0.1958 memory: 12277 loss_text: 0.0521 loss_kernel: 0.0331 loss_embedding: 0.0132 loss: 0.0985 2022/08/26 17:04:31 - mmengine - INFO - Epoch(train) [214][15/63] lr: 6.7336e-04 eta: 3:45:59 time: 0.5692 data_time: 0.0537 memory: 12277 loss_text: 0.0516 loss_kernel: 0.0346 loss_embedding: 0.0133 loss: 0.0996 2022/08/26 17:04:33 - mmengine - INFO - Epoch(train) [214][20/63] lr: 6.7336e-04 eta: 3:45:53 time: 0.5321 data_time: 0.0452 memory: 12277 loss_text: 0.0503 loss_kernel: 0.0348 loss_embedding: 0.0128 loss: 0.0979 2022/08/26 17:04:36 - mmengine - INFO - Epoch(train) [214][25/63] lr: 6.7336e-04 eta: 3:45:53 time: 0.5295 data_time: 0.0347 memory: 12277 loss_text: 0.0517 loss_kernel: 0.0342 loss_embedding: 0.0129 loss: 0.0987 2022/08/26 17:04:40 - mmengine - INFO - Epoch(train) [214][30/63] lr: 6.7336e-04 eta: 3:45:49 time: 0.6473 data_time: 0.0514 memory: 12277 loss_text: 0.0616 loss_kernel: 0.0380 loss_embedding: 0.0132 loss: 0.1127 2022/08/26 17:04:42 - mmengine - INFO - Epoch(train) [214][35/63] lr: 6.7336e-04 eta: 3:45:49 time: 0.6397 data_time: 0.0602 memory: 12277 loss_text: 0.0599 loss_kernel: 0.0367 loss_embedding: 0.0128 loss: 0.1095 2022/08/26 17:04:45 - mmengine - INFO - Epoch(train) [214][40/63] lr: 6.7336e-04 eta: 3:45:43 time: 0.5322 data_time: 0.0443 memory: 12277 loss_text: 0.0583 loss_kernel: 0.0348 loss_embedding: 0.0115 loss: 0.1047 2022/08/26 17:04:48 - mmengine - INFO - Epoch(train) [214][45/63] lr: 6.7336e-04 eta: 3:45:43 time: 0.5312 data_time: 0.0309 memory: 12277 loss_text: 0.0621 loss_kernel: 0.0357 loss_embedding: 0.0103 loss: 0.1081 2022/08/26 17:04:51 - mmengine - INFO - Epoch(train) [214][50/63] lr: 6.7336e-04 eta: 3:45:37 time: 0.5498 data_time: 0.0364 memory: 12277 loss_text: 0.0587 loss_kernel: 0.0340 loss_embedding: 0.0110 loss: 0.1036 2022/08/26 17:04:53 - mmengine - INFO - Epoch(train) [214][55/63] lr: 6.7336e-04 eta: 3:45:37 time: 0.5478 data_time: 0.0486 memory: 12277 loss_text: 0.0724 loss_kernel: 0.0415 loss_embedding: 0.0105 loss: 0.1245 2022/08/26 17:04:56 - mmengine - INFO - Epoch(train) [214][60/63] lr: 6.7336e-04 eta: 3:45:32 time: 0.5376 data_time: 0.0415 memory: 12277 loss_text: 0.0678 loss_kernel: 0.0413 loss_embedding: 0.0106 loss: 0.1197 2022/08/26 17:04:57 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:05:02 - mmengine - INFO - Epoch(train) [215][5/63] lr: 6.7179e-04 eta: 3:45:32 time: 0.6588 data_time: 0.1750 memory: 12277 loss_text: 0.0509 loss_kernel: 0.0342 loss_embedding: 0.0112 loss: 0.0962 2022/08/26 17:05:04 - mmengine - INFO - Epoch(train) [215][10/63] lr: 6.7179e-04 eta: 3:45:24 time: 0.7035 data_time: 0.2018 memory: 12277 loss_text: 0.0568 loss_kernel: 0.0382 loss_embedding: 0.0111 loss: 0.1061 2022/08/26 17:05:07 - mmengine - INFO - Epoch(train) [215][15/63] lr: 6.7179e-04 eta: 3:45:24 time: 0.5509 data_time: 0.0582 memory: 12277 loss_text: 0.0604 loss_kernel: 0.0401 loss_embedding: 0.0103 loss: 0.1108 2022/08/26 17:05:10 - mmengine - INFO - Epoch(train) [215][20/63] lr: 6.7179e-04 eta: 3:45:19 time: 0.5707 data_time: 0.0367 memory: 12277 loss_text: 0.0639 loss_kernel: 0.0408 loss_embedding: 0.0107 loss: 0.1154 2022/08/26 17:05:13 - mmengine - INFO - Epoch(train) [215][25/63] lr: 6.7179e-04 eta: 3:45:19 time: 0.5773 data_time: 0.0397 memory: 12277 loss_text: 0.0627 loss_kernel: 0.0377 loss_embedding: 0.0117 loss: 0.1121 2022/08/26 17:05:16 - mmengine - INFO - Epoch(train) [215][30/63] lr: 6.7179e-04 eta: 3:45:13 time: 0.5501 data_time: 0.0526 memory: 12277 loss_text: 0.0637 loss_kernel: 0.0337 loss_embedding: 0.0111 loss: 0.1085 2022/08/26 17:05:18 - mmengine - INFO - Epoch(train) [215][35/63] lr: 6.7179e-04 eta: 3:45:13 time: 0.5559 data_time: 0.0528 memory: 12277 loss_text: 0.0613 loss_kernel: 0.0339 loss_embedding: 0.0121 loss: 0.1073 2022/08/26 17:05:21 - mmengine - INFO - Epoch(train) [215][40/63] lr: 6.7179e-04 eta: 3:45:07 time: 0.5552 data_time: 0.0372 memory: 12277 loss_text: 0.0649 loss_kernel: 0.0372 loss_embedding: 0.0125 loss: 0.1146 2022/08/26 17:05:24 - mmengine - INFO - Epoch(train) [215][45/63] lr: 6.7179e-04 eta: 3:45:07 time: 0.5428 data_time: 0.0361 memory: 12277 loss_text: 0.0668 loss_kernel: 0.0373 loss_embedding: 0.0120 loss: 0.1161 2022/08/26 17:05:27 - mmengine - INFO - Epoch(train) [215][50/63] lr: 6.7179e-04 eta: 3:45:02 time: 0.5452 data_time: 0.0472 memory: 12277 loss_text: 0.0555 loss_kernel: 0.0362 loss_embedding: 0.0119 loss: 0.1036 2022/08/26 17:05:30 - mmengine - INFO - Epoch(train) [215][55/63] lr: 6.7179e-04 eta: 3:45:02 time: 0.6485 data_time: 0.0495 memory: 12277 loss_text: 0.0545 loss_kernel: 0.0350 loss_embedding: 0.0131 loss: 0.1026 2022/08/26 17:05:33 - mmengine - INFO - Epoch(train) [215][60/63] lr: 6.7179e-04 eta: 3:44:57 time: 0.6309 data_time: 0.0352 memory: 12277 loss_text: 0.0569 loss_kernel: 0.0320 loss_embedding: 0.0124 loss: 0.1014 2022/08/26 17:05:34 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:05:38 - mmengine - INFO - Epoch(train) [216][5/63] lr: 6.7021e-04 eta: 3:44:57 time: 0.6077 data_time: 0.1574 memory: 12277 loss_text: 0.0619 loss_kernel: 0.0385 loss_embedding: 0.0091 loss: 0.1095 2022/08/26 17:05:41 - mmengine - INFO - Epoch(train) [216][10/63] lr: 6.7021e-04 eta: 3:44:49 time: 0.6619 data_time: 0.1724 memory: 12277 loss_text: 0.0604 loss_kernel: 0.0333 loss_embedding: 0.0109 loss: 0.1045 2022/08/26 17:05:44 - mmengine - INFO - Epoch(train) [216][15/63] lr: 6.7021e-04 eta: 3:44:49 time: 0.5526 data_time: 0.0471 memory: 12277 loss_text: 0.0635 loss_kernel: 0.0350 loss_embedding: 0.0127 loss: 0.1112 2022/08/26 17:05:46 - mmengine - INFO - Epoch(train) [216][20/63] lr: 6.7021e-04 eta: 3:44:43 time: 0.5359 data_time: 0.0335 memory: 12277 loss_text: 0.0499 loss_kernel: 0.0329 loss_embedding: 0.0119 loss: 0.0947 2022/08/26 17:05:49 - mmengine - INFO - Epoch(train) [216][25/63] lr: 6.7021e-04 eta: 3:44:43 time: 0.5443 data_time: 0.0411 memory: 12277 loss_text: 0.0546 loss_kernel: 0.0332 loss_embedding: 0.0123 loss: 0.1001 2022/08/26 17:05:52 - mmengine - INFO - Epoch(train) [216][30/63] lr: 6.7021e-04 eta: 3:44:38 time: 0.5622 data_time: 0.0543 memory: 12277 loss_text: 0.0571 loss_kernel: 0.0338 loss_embedding: 0.0128 loss: 0.1037 2022/08/26 17:05:54 - mmengine - INFO - Epoch(train) [216][35/63] lr: 6.7021e-04 eta: 3:44:38 time: 0.5444 data_time: 0.0438 memory: 12277 loss_text: 0.0518 loss_kernel: 0.0339 loss_embedding: 0.0121 loss: 0.0978 2022/08/26 17:05:57 - mmengine - INFO - Epoch(train) [216][40/63] lr: 6.7021e-04 eta: 3:44:32 time: 0.5277 data_time: 0.0305 memory: 12277 loss_text: 0.0572 loss_kernel: 0.0367 loss_embedding: 0.0103 loss: 0.1043 2022/08/26 17:06:00 - mmengine - INFO - Epoch(train) [216][45/63] lr: 6.7021e-04 eta: 3:44:32 time: 0.5816 data_time: 0.0333 memory: 12277 loss_text: 0.0608 loss_kernel: 0.0375 loss_embedding: 0.0110 loss: 0.1094 2022/08/26 17:06:03 - mmengine - INFO - Epoch(train) [216][50/63] lr: 6.7021e-04 eta: 3:44:27 time: 0.5972 data_time: 0.0480 memory: 12277 loss_text: 0.0555 loss_kernel: 0.0373 loss_embedding: 0.0122 loss: 0.1050 2022/08/26 17:06:06 - mmengine - INFO - Epoch(train) [216][55/63] lr: 6.7021e-04 eta: 3:44:27 time: 0.5563 data_time: 0.0477 memory: 12277 loss_text: 0.0564 loss_kernel: 0.0383 loss_embedding: 0.0116 loss: 0.1062 2022/08/26 17:06:09 - mmengine - INFO - Epoch(train) [216][60/63] lr: 6.7021e-04 eta: 3:44:21 time: 0.5469 data_time: 0.0332 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0362 loss_embedding: 0.0112 loss: 0.1041 2022/08/26 17:06:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:06:14 - mmengine - INFO - Epoch(train) [217][5/63] lr: 6.6864e-04 eta: 3:44:21 time: 0.6684 data_time: 0.1678 memory: 12277 loss_text: 0.0598 loss_kernel: 0.0369 loss_embedding: 0.0097 loss: 0.1064 2022/08/26 17:06:17 - mmengine - INFO - Epoch(train) [217][10/63] lr: 6.6864e-04 eta: 3:44:13 time: 0.6960 data_time: 0.1888 memory: 12277 loss_text: 0.0629 loss_kernel: 0.0393 loss_embedding: 0.0093 loss: 0.1115 2022/08/26 17:06:20 - mmengine - INFO - Epoch(train) [217][15/63] lr: 6.6864e-04 eta: 3:44:13 time: 0.5677 data_time: 0.0604 memory: 12277 loss_text: 0.0565 loss_kernel: 0.0361 loss_embedding: 0.0113 loss: 0.1039 2022/08/26 17:06:23 - mmengine - INFO - Epoch(train) [217][20/63] lr: 6.6864e-04 eta: 3:44:08 time: 0.5594 data_time: 0.0384 memory: 12277 loss_text: 0.0558 loss_kernel: 0.0359 loss_embedding: 0.0142 loss: 0.1059 2022/08/26 17:06:25 - mmengine - INFO - Epoch(train) [217][25/63] lr: 6.6864e-04 eta: 3:44:08 time: 0.5443 data_time: 0.0375 memory: 12277 loss_text: 0.0569 loss_kernel: 0.0375 loss_embedding: 0.0141 loss: 0.1086 2022/08/26 17:06:29 - mmengine - INFO - Epoch(train) [217][30/63] lr: 6.6864e-04 eta: 3:44:03 time: 0.6054 data_time: 0.0477 memory: 12277 loss_text: 0.0527 loss_kernel: 0.0349 loss_embedding: 0.0134 loss: 0.1011 2022/08/26 17:06:31 - mmengine - INFO - Epoch(train) [217][35/63] lr: 6.6864e-04 eta: 3:44:03 time: 0.6077 data_time: 0.0474 memory: 12277 loss_text: 0.0591 loss_kernel: 0.0378 loss_embedding: 0.0152 loss: 0.1122 2022/08/26 17:06:34 - mmengine - INFO - Epoch(train) [217][40/63] lr: 6.6864e-04 eta: 3:43:58 time: 0.5705 data_time: 0.0380 memory: 12277 loss_text: 0.0609 loss_kernel: 0.0385 loss_embedding: 0.0143 loss: 0.1136 2022/08/26 17:06:37 - mmengine - INFO - Epoch(train) [217][45/63] lr: 6.6864e-04 eta: 3:43:58 time: 0.5624 data_time: 0.0364 memory: 12277 loss_text: 0.0522 loss_kernel: 0.0350 loss_embedding: 0.0124 loss: 0.0996 2022/08/26 17:06:41 - mmengine - INFO - Epoch(train) [217][50/63] lr: 6.6864e-04 eta: 3:43:53 time: 0.6252 data_time: 0.0470 memory: 12277 loss_text: 0.0479 loss_kernel: 0.0334 loss_embedding: 0.0119 loss: 0.0932 2022/08/26 17:06:43 - mmengine - INFO - Epoch(train) [217][55/63] lr: 6.6864e-04 eta: 3:43:53 time: 0.6345 data_time: 0.0477 memory: 12277 loss_text: 0.0572 loss_kernel: 0.0388 loss_embedding: 0.0109 loss: 0.1069 2022/08/26 17:06:46 - mmengine - INFO - Epoch(train) [217][60/63] lr: 6.6864e-04 eta: 3:43:48 time: 0.5425 data_time: 0.0379 memory: 12277 loss_text: 0.0588 loss_kernel: 0.0402 loss_embedding: 0.0120 loss: 0.1110 2022/08/26 17:06:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:06:51 - mmengine - INFO - Epoch(train) [218][5/63] lr: 6.6707e-04 eta: 3:43:48 time: 0.6480 data_time: 0.1644 memory: 12277 loss_text: 0.0556 loss_kernel: 0.0365 loss_embedding: 0.0115 loss: 0.1036 2022/08/26 17:06:54 - mmengine - INFO - Epoch(train) [218][10/63] lr: 6.6707e-04 eta: 3:43:40 time: 0.7012 data_time: 0.1799 memory: 12277 loss_text: 0.0621 loss_kernel: 0.0389 loss_embedding: 0.0122 loss: 0.1132 2022/08/26 17:06:57 - mmengine - INFO - Epoch(train) [218][15/63] lr: 6.6707e-04 eta: 3:43:40 time: 0.5657 data_time: 0.0508 memory: 12277 loss_text: 0.0548 loss_kernel: 0.0351 loss_embedding: 0.0113 loss: 0.1012 2022/08/26 17:07:01 - mmengine - INFO - Epoch(train) [218][20/63] lr: 6.6707e-04 eta: 3:43:36 time: 0.6282 data_time: 0.0428 memory: 12277 loss_text: 0.0514 loss_kernel: 0.0331 loss_embedding: 0.0109 loss: 0.0955 2022/08/26 17:07:03 - mmengine - INFO - Epoch(train) [218][25/63] lr: 6.6707e-04 eta: 3:43:36 time: 0.6063 data_time: 0.0376 memory: 12277 loss_text: 0.0669 loss_kernel: 0.0383 loss_embedding: 0.0107 loss: 0.1159 2022/08/26 17:07:06 - mmengine - INFO - Epoch(train) [218][30/63] lr: 6.6707e-04 eta: 3:43:30 time: 0.5228 data_time: 0.0415 memory: 12277 loss_text: 0.0655 loss_kernel: 0.0376 loss_embedding: 0.0104 loss: 0.1135 2022/08/26 17:07:09 - mmengine - INFO - Epoch(train) [218][35/63] lr: 6.6707e-04 eta: 3:43:30 time: 0.5543 data_time: 0.0439 memory: 12277 loss_text: 0.0610 loss_kernel: 0.0363 loss_embedding: 0.0121 loss: 0.1094 2022/08/26 17:07:11 - mmengine - INFO - Epoch(train) [218][40/63] lr: 6.6707e-04 eta: 3:43:24 time: 0.5515 data_time: 0.0333 memory: 12277 loss_text: 0.0659 loss_kernel: 0.0392 loss_embedding: 0.0108 loss: 0.1159 2022/08/26 17:07:14 - mmengine - INFO - Epoch(train) [218][45/63] lr: 6.6707e-04 eta: 3:43:24 time: 0.5213 data_time: 0.0317 memory: 12277 loss_text: 0.0558 loss_kernel: 0.0391 loss_embedding: 0.0093 loss: 0.1042 2022/08/26 17:07:17 - mmengine - INFO - Epoch(train) [218][50/63] lr: 6.6707e-04 eta: 3:43:18 time: 0.5412 data_time: 0.0415 memory: 12277 loss_text: 0.0562 loss_kernel: 0.0395 loss_embedding: 0.0094 loss: 0.1051 2022/08/26 17:07:21 - mmengine - INFO - Epoch(train) [218][55/63] lr: 6.6707e-04 eta: 3:43:18 time: 0.6720 data_time: 0.0490 memory: 12277 loss_text: 0.0583 loss_kernel: 0.0369 loss_embedding: 0.0116 loss: 0.1069 2022/08/26 17:07:23 - mmengine - INFO - Epoch(train) [218][60/63] lr: 6.6707e-04 eta: 3:43:14 time: 0.6664 data_time: 0.0425 memory: 12277 loss_text: 0.0589 loss_kernel: 0.0377 loss_embedding: 0.0133 loss: 0.1099 2022/08/26 17:07:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:07:29 - mmengine - INFO - Epoch(train) [219][5/63] lr: 6.6550e-04 eta: 3:43:14 time: 0.6299 data_time: 0.1464 memory: 12277 loss_text: 0.0692 loss_kernel: 0.0422 loss_embedding: 0.0107 loss: 0.1220 2022/08/26 17:07:31 - mmengine - INFO - Epoch(train) [219][10/63] lr: 6.6550e-04 eta: 3:43:06 time: 0.6597 data_time: 0.1660 memory: 12277 loss_text: 0.0724 loss_kernel: 0.0422 loss_embedding: 0.0132 loss: 0.1278 2022/08/26 17:07:34 - mmengine - INFO - Epoch(train) [219][15/63] lr: 6.6550e-04 eta: 3:43:06 time: 0.5328 data_time: 0.0560 memory: 12277 loss_text: 0.0580 loss_kernel: 0.0388 loss_embedding: 0.0130 loss: 0.1098 2022/08/26 17:07:37 - mmengine - INFO - Epoch(train) [219][20/63] lr: 6.6550e-04 eta: 3:43:01 time: 0.6059 data_time: 0.0405 memory: 12277 loss_text: 0.0624 loss_kernel: 0.0387 loss_embedding: 0.0106 loss: 0.1117 2022/08/26 17:07:40 - mmengine - INFO - Epoch(train) [219][25/63] lr: 6.6550e-04 eta: 3:43:01 time: 0.6200 data_time: 0.0387 memory: 12277 loss_text: 0.0592 loss_kernel: 0.0339 loss_embedding: 0.0129 loss: 0.1059 2022/08/26 17:07:43 - mmengine - INFO - Epoch(train) [219][30/63] lr: 6.6550e-04 eta: 3:42:56 time: 0.5460 data_time: 0.0523 memory: 12277 loss_text: 0.0602 loss_kernel: 0.0401 loss_embedding: 0.0133 loss: 0.1136 2022/08/26 17:07:46 - mmengine - INFO - Epoch(train) [219][35/63] lr: 6.6550e-04 eta: 3:42:56 time: 0.5380 data_time: 0.0517 memory: 12277 loss_text: 0.0693 loss_kernel: 0.0431 loss_embedding: 0.0126 loss: 0.1251 2022/08/26 17:07:48 - mmengine - INFO - Epoch(train) [219][40/63] lr: 6.6550e-04 eta: 3:42:50 time: 0.5303 data_time: 0.0385 memory: 12277 loss_text: 0.0631 loss_kernel: 0.0366 loss_embedding: 0.0121 loss: 0.1119 2022/08/26 17:07:51 - mmengine - INFO - Epoch(train) [219][45/63] lr: 6.6550e-04 eta: 3:42:50 time: 0.5362 data_time: 0.0368 memory: 12277 loss_text: 0.0513 loss_kernel: 0.0333 loss_embedding: 0.0109 loss: 0.0956 2022/08/26 17:07:54 - mmengine - INFO - Epoch(train) [219][50/63] lr: 6.6550e-04 eta: 3:42:44 time: 0.5589 data_time: 0.0485 memory: 12277 loss_text: 0.0537 loss_kernel: 0.0340 loss_embedding: 0.0109 loss: 0.0986 2022/08/26 17:07:57 - mmengine - INFO - Epoch(train) [219][55/63] lr: 6.6550e-04 eta: 3:42:44 time: 0.5536 data_time: 0.0456 memory: 12277 loss_text: 0.0549 loss_kernel: 0.0344 loss_embedding: 0.0107 loss: 0.1000 2022/08/26 17:08:00 - mmengine - INFO - Epoch(train) [219][60/63] lr: 6.6550e-04 eta: 3:42:40 time: 0.6465 data_time: 0.0432 memory: 12277 loss_text: 0.0543 loss_kernel: 0.0337 loss_embedding: 0.0120 loss: 0.0999 2022/08/26 17:08:02 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:08:06 - mmengine - INFO - Epoch(train) [220][5/63] lr: 6.6393e-04 eta: 3:42:40 time: 0.6638 data_time: 0.1601 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0338 loss_embedding: 0.0121 loss: 0.1025 2022/08/26 17:08:09 - mmengine - INFO - Epoch(train) [220][10/63] lr: 6.6393e-04 eta: 3:42:33 time: 0.7121 data_time: 0.1864 memory: 12277 loss_text: 0.0623 loss_kernel: 0.0380 loss_embedding: 0.0141 loss: 0.1144 2022/08/26 17:08:12 - mmengine - INFO - Epoch(train) [220][15/63] lr: 6.6393e-04 eta: 3:42:33 time: 0.5856 data_time: 0.0562 memory: 12277 loss_text: 0.0628 loss_kernel: 0.0386 loss_embedding: 0.0136 loss: 0.1151 2022/08/26 17:08:15 - mmengine - INFO - Epoch(train) [220][20/63] lr: 6.6393e-04 eta: 3:42:27 time: 0.5688 data_time: 0.0339 memory: 12277 loss_text: 0.0569 loss_kernel: 0.0357 loss_embedding: 0.0129 loss: 0.1054 2022/08/26 17:08:17 - mmengine - INFO - Epoch(train) [220][25/63] lr: 6.6393e-04 eta: 3:42:27 time: 0.5403 data_time: 0.0410 memory: 12277 loss_text: 0.0677 loss_kernel: 0.0403 loss_embedding: 0.0119 loss: 0.1198 2022/08/26 17:08:20 - mmengine - INFO - Epoch(train) [220][30/63] lr: 6.6393e-04 eta: 3:42:22 time: 0.5418 data_time: 0.0557 memory: 12277 loss_text: 0.0675 loss_kernel: 0.0407 loss_embedding: 0.0117 loss: 0.1199 2022/08/26 17:08:22 - mmengine - INFO - Epoch(train) [220][35/63] lr: 6.6393e-04 eta: 3:42:22 time: 0.5349 data_time: 0.0517 memory: 12277 loss_text: 0.0600 loss_kernel: 0.0351 loss_embedding: 0.0138 loss: 0.1090 2022/08/26 17:08:25 - mmengine - INFO - Epoch(train) [220][40/63] lr: 6.6393e-04 eta: 3:42:15 time: 0.5212 data_time: 0.0332 memory: 12277 loss_text: 0.0590 loss_kernel: 0.0351 loss_embedding: 0.0140 loss: 0.1081 2022/08/26 17:08:30 - mmengine - INFO - Epoch(train) [220][45/63] lr: 6.6393e-04 eta: 3:42:15 time: 0.7385 data_time: 0.0387 memory: 12277 loss_text: 0.0557 loss_kernel: 0.0358 loss_embedding: 0.0123 loss: 0.1039 2022/08/26 17:08:33 - mmengine - INFO - Epoch(train) [220][50/63] lr: 6.6393e-04 eta: 3:42:13 time: 0.7647 data_time: 0.0555 memory: 12277 loss_text: 0.0650 loss_kernel: 0.0353 loss_embedding: 0.0144 loss: 0.1147 2022/08/26 17:08:35 - mmengine - INFO - Epoch(train) [220][55/63] lr: 6.6393e-04 eta: 3:42:13 time: 0.5569 data_time: 0.0488 memory: 12277 loss_text: 0.0647 loss_kernel: 0.0344 loss_embedding: 0.0150 loss: 0.1142 2022/08/26 17:08:40 - mmengine - INFO - Epoch(train) [220][60/63] lr: 6.6393e-04 eta: 3:42:11 time: 0.7409 data_time: 0.0415 memory: 12277 loss_text: 0.0616 loss_kernel: 0.0366 loss_embedding: 0.0130 loss: 0.1112 2022/08/26 17:08:43 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:08:43 - mmengine - INFO - Saving checkpoint at 220 epochs 2022/08/26 17:08:47 - mmengine - INFO - Epoch(val) [220][5/500] eta: 3:42:11 time: 0.0434 data_time: 0.0065 memory: 12277 2022/08/26 17:08:47 - mmengine - INFO - Epoch(val) [220][10/500] eta: 0:00:27 time: 0.0561 data_time: 0.0064 memory: 497 2022/08/26 17:08:47 - mmengine - INFO - Epoch(val) [220][15/500] eta: 0:00:27 time: 0.0334 data_time: 0.0019 memory: 539 2022/08/26 17:08:47 - mmengine - INFO - Epoch(val) [220][20/500] eta: 0:00:12 time: 0.0269 data_time: 0.0022 memory: 497 2022/08/26 17:08:47 - mmengine - INFO - Epoch(val) [220][25/500] eta: 0:00:12 time: 0.0246 data_time: 0.0021 memory: 505 2022/08/26 17:08:47 - mmengine - INFO - Epoch(val) [220][30/500] eta: 0:00:09 time: 0.0210 data_time: 0.0021 memory: 516 2022/08/26 17:08:48 - mmengine - INFO - Epoch(val) [220][35/500] eta: 0:00:09 time: 0.0223 data_time: 0.0020 memory: 497 2022/08/26 17:08:48 - mmengine - INFO - Epoch(val) [220][40/500] eta: 0:00:12 time: 0.0263 data_time: 0.0022 memory: 497 2022/08/26 17:08:48 - mmengine - INFO - Epoch(val) [220][45/500] eta: 0:00:12 time: 0.0353 data_time: 0.0047 memory: 480 2022/08/26 17:08:48 - mmengine - INFO - Epoch(val) [220][50/500] eta: 0:00:17 time: 0.0390 data_time: 0.0043 memory: 539 2022/08/26 17:08:48 - mmengine - INFO - Epoch(val) [220][55/500] eta: 0:00:17 time: 0.0288 data_time: 0.0017 memory: 561 2022/08/26 17:08:48 - mmengine - INFO - Epoch(val) [220][60/500] eta: 0:00:10 time: 0.0228 data_time: 0.0018 memory: 497 2022/08/26 17:08:48 - mmengine - INFO - Epoch(val) [220][65/500] eta: 0:00:10 time: 0.0216 data_time: 0.0018 memory: 597 2022/08/26 17:08:49 - mmengine - INFO - Epoch(val) [220][70/500] eta: 0:00:07 time: 0.0179 data_time: 0.0014 memory: 497 2022/08/26 17:08:49 - mmengine - INFO - Epoch(val) [220][75/500] eta: 0:00:07 time: 0.0219 data_time: 0.0014 memory: 556 2022/08/26 17:08:49 - mmengine - INFO - Epoch(val) [220][80/500] eta: 0:00:09 time: 0.0229 data_time: 0.0019 memory: 497 2022/08/26 17:08:49 - mmengine - INFO - Epoch(val) [220][85/500] eta: 0:00:09 time: 0.0216 data_time: 0.0020 memory: 564 2022/08/26 17:08:49 - mmengine - INFO - Epoch(val) [220][90/500] eta: 0:00:09 time: 0.0223 data_time: 0.0018 memory: 522 2022/08/26 17:08:49 - mmengine - INFO - Epoch(val) [220][95/500] eta: 0:00:09 time: 0.0233 data_time: 0.0018 memory: 756 2022/08/26 17:08:49 - mmengine - INFO - Epoch(val) [220][100/500] eta: 0:00:09 time: 0.0246 data_time: 0.0022 memory: 572 2022/08/26 17:08:49 - mmengine - INFO - Epoch(val) [220][105/500] eta: 0:00:09 time: 0.0275 data_time: 0.0022 memory: 539 2022/08/26 17:08:50 - mmengine - INFO - Epoch(val) [220][110/500] eta: 0:00:12 time: 0.0318 data_time: 0.0024 memory: 497 2022/08/26 17:08:50 - mmengine - INFO - Epoch(val) [220][115/500] eta: 0:00:12 time: 0.0249 data_time: 0.0023 memory: 497 2022/08/26 17:08:50 - mmengine - INFO - Epoch(val) [220][120/500] eta: 0:00:08 time: 0.0236 data_time: 0.0020 memory: 530 2022/08/26 17:08:50 - mmengine - INFO - Epoch(val) [220][125/500] eta: 0:00:08 time: 0.0271 data_time: 0.0019 memory: 497 2022/08/26 17:08:50 - mmengine - INFO - Epoch(val) [220][130/500] eta: 0:00:07 time: 0.0216 data_time: 0.0016 memory: 539 2022/08/26 17:08:50 - mmengine - INFO - Epoch(val) [220][135/500] eta: 0:00:07 time: 0.0184 data_time: 0.0017 memory: 497 2022/08/26 17:08:50 - mmengine - INFO - Epoch(val) [220][140/500] eta: 0:00:07 time: 0.0199 data_time: 0.0018 memory: 480 2022/08/26 17:08:50 - mmengine - INFO - Epoch(val) [220][145/500] eta: 0:00:07 time: 0.0196 data_time: 0.0015 memory: 751 2022/08/26 17:08:50 - mmengine - INFO - Epoch(val) [220][150/500] eta: 0:00:06 time: 0.0182 data_time: 0.0013 memory: 464 2022/08/26 17:08:50 - mmengine - INFO - Epoch(val) [220][155/500] eta: 0:00:06 time: 0.0191 data_time: 0.0014 memory: 516 2022/08/26 17:08:51 - mmengine - INFO - Epoch(val) [220][160/500] eta: 0:00:08 time: 0.0257 data_time: 0.0018 memory: 539 2022/08/26 17:08:51 - mmengine - INFO - Epoch(val) [220][165/500] eta: 0:00:08 time: 0.0374 data_time: 0.0018 memory: 497 2022/08/26 17:08:51 - mmengine - INFO - Epoch(val) [220][170/500] eta: 0:00:11 time: 0.0335 data_time: 0.0015 memory: 514 2022/08/26 17:08:51 - mmengine - INFO - Epoch(val) [220][175/500] eta: 0:00:11 time: 0.0196 data_time: 0.0016 memory: 539 2022/08/26 17:08:51 - mmengine - INFO - Epoch(val) [220][180/500] eta: 0:00:05 time: 0.0177 data_time: 0.0016 memory: 539 2022/08/26 17:08:51 - mmengine - INFO - Epoch(val) [220][185/500] eta: 0:00:05 time: 0.0206 data_time: 0.0015 memory: 489 2022/08/26 17:08:51 - mmengine - INFO - Epoch(val) [220][190/500] eta: 0:00:06 time: 0.0202 data_time: 0.0016 memory: 516 2022/08/26 17:08:51 - mmengine - INFO - Epoch(val) [220][195/500] eta: 0:00:06 time: 0.0182 data_time: 0.0018 memory: 516 2022/08/26 17:08:52 - mmengine - INFO - Epoch(val) [220][200/500] eta: 0:00:05 time: 0.0181 data_time: 0.0018 memory: 516 2022/08/26 17:08:52 - mmengine - INFO - Epoch(val) [220][205/500] eta: 0:00:05 time: 0.0196 data_time: 0.0016 memory: 664 2022/08/26 17:08:52 - mmengine - INFO - Epoch(val) 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0:00:04 time: 0.0191 data_time: 0.0019 memory: 497 2022/08/26 17:08:53 - mmengine - INFO - Epoch(val) [220][255/500] eta: 0:00:04 time: 0.0359 data_time: 0.0022 memory: 543 2022/08/26 17:08:53 - mmengine - INFO - Epoch(val) [220][260/500] eta: 0:00:08 time: 0.0355 data_time: 0.0023 memory: 516 2022/08/26 17:08:53 - mmengine - INFO - Epoch(val) [220][265/500] eta: 0:00:08 time: 0.0216 data_time: 0.0022 memory: 622 2022/08/26 17:08:53 - mmengine - INFO - Epoch(val) [220][270/500] eta: 0:00:06 time: 0.0267 data_time: 0.0022 memory: 505 2022/08/26 17:08:54 - mmengine - INFO - Epoch(val) [220][275/500] eta: 0:00:06 time: 0.0414 data_time: 0.0024 memory: 539 2022/08/26 17:08:54 - mmengine - INFO - Epoch(val) [220][280/500] eta: 0:00:07 time: 0.0354 data_time: 0.0024 memory: 473 2022/08/26 17:08:54 - mmengine - INFO - Epoch(val) [220][285/500] eta: 0:00:07 time: 0.0209 data_time: 0.0022 memory: 481 2022/08/26 17:08:54 - mmengine - INFO - Epoch(val) [220][290/500] eta: 0:00:04 time: 0.0229 data_time: 0.0021 memory: 464 2022/08/26 17:08:54 - mmengine - INFO - Epoch(val) [220][295/500] eta: 0:00:04 time: 0.0221 data_time: 0.0021 memory: 489 2022/08/26 17:08:54 - mmengine - INFO - Epoch(val) [220][300/500] eta: 0:00:05 time: 0.0268 data_time: 0.0074 memory: 497 2022/08/26 17:08:54 - mmengine - INFO - Epoch(val) [220][305/500] eta: 0:00:05 time: 0.0257 data_time: 0.0069 memory: 597 2022/08/26 17:08:54 - mmengine - INFO - Epoch(val) [220][310/500] eta: 0:00:04 time: 0.0212 data_time: 0.0013 memory: 606 2022/08/26 17:08:55 - mmengine - INFO - Epoch(val) [220][315/500] eta: 0:00:04 time: 0.0216 data_time: 0.0019 memory: 539 2022/08/26 17:08:55 - mmengine - INFO - Epoch(val) [220][320/500] eta: 0:00:03 time: 0.0221 data_time: 0.0021 memory: 499 2022/08/26 17:08:55 - mmengine - INFO - Epoch(val) [220][325/500] eta: 0:00:03 time: 0.0219 data_time: 0.0020 memory: 497 2022/08/26 17:08:55 - mmengine - INFO - Epoch(val) [220][330/500] eta: 0:00:05 time: 0.0324 data_time: 0.0021 memory: 497 2022/08/26 17:08:55 - mmengine - INFO - Epoch(val) [220][335/500] eta: 0:00:05 time: 0.0337 data_time: 0.0022 memory: 497 2022/08/26 17:08:55 - mmengine - INFO - Epoch(val) [220][340/500] eta: 0:00:04 time: 0.0284 data_time: 0.0022 memory: 522 2022/08/26 17:08:55 - mmengine - INFO - Epoch(val) [220][345/500] eta: 0:00:04 time: 0.0290 data_time: 0.0023 memory: 572 2022/08/26 17:08:56 - mmengine - INFO - Epoch(val) [220][350/500] eta: 0:00:03 time: 0.0244 data_time: 0.0024 memory: 499 2022/08/26 17:08:56 - mmengine - INFO - Epoch(val) [220][355/500] eta: 0:00:03 time: 0.0283 data_time: 0.0023 memory: 525 2022/08/26 17:08:56 - mmengine - INFO - Epoch(val) [220][360/500] eta: 0:00:03 time: 0.0265 data_time: 0.0021 memory: 525 2022/08/26 17:08:56 - mmengine - INFO - Epoch(val) [220][365/500] eta: 0:00:03 time: 0.0241 data_time: 0.0022 memory: 707 2022/08/26 17:08:56 - mmengine - INFO - Epoch(val) [220][370/500] eta: 0:00:05 time: 0.0421 data_time: 0.0120 memory: 539 2022/08/26 17:08:56 - mmengine - INFO - Epoch(val) [220][375/500] eta: 0:00:05 time: 0.0488 data_time: 0.0114 memory: 765 2022/08/26 17:08:57 - mmengine - INFO - Epoch(val) [220][380/500] eta: 0:00:03 time: 0.0329 data_time: 0.0017 memory: 572 2022/08/26 17:08:57 - mmengine - INFO - Epoch(val) [220][385/500] eta: 0:00:03 time: 0.0223 data_time: 0.0020 memory: 497 2022/08/26 17:08:57 - mmengine - INFO - Epoch(val) [220][390/500] eta: 0:00:02 time: 0.0205 data_time: 0.0020 memory: 539 2022/08/26 17:08:57 - mmengine - INFO - Epoch(val) [220][395/500] eta: 0:00:02 time: 0.0291 data_time: 0.0020 memory: 489 2022/08/26 17:08:57 - mmengine - INFO - Epoch(val) [220][400/500] eta: 0:00:03 time: 0.0303 data_time: 0.0021 memory: 497 2022/08/26 17:08:57 - mmengine - INFO - Epoch(val) [220][405/500] eta: 0:00:03 time: 0.0213 data_time: 0.0022 memory: 497 2022/08/26 17:08:57 - mmengine - INFO - Epoch(val) [220][410/500] eta: 0:00:01 time: 0.0215 data_time: 0.0022 memory: 497 2022/08/26 17:08:58 - mmengine - INFO - Epoch(val) [220][415/500] eta: 0:00:01 time: 0.0347 data_time: 0.0023 memory: 497 2022/08/26 17:08:58 - mmengine - INFO - Epoch(val) [220][420/500] eta: 0:00:03 time: 0.0386 data_time: 0.0022 memory: 497 2022/08/26 17:08:59 - mmengine - INFO - Epoch(val) [220][425/500] eta: 0:00:03 time: 0.1913 data_time: 0.0393 memory: 489 2022/08/26 17:09:00 - mmengine - INFO - Epoch(val) [220][430/500] eta: 0:00:13 time: 0.1893 data_time: 0.0432 memory: 516 2022/08/26 17:09:00 - mmengine - INFO - Epoch(val) [220][435/500] eta: 0:00:13 time: 0.0265 data_time: 0.0060 memory: 681 2022/08/26 17:09:00 - mmengine - INFO - Epoch(val) [220][440/500] eta: 0:00:01 time: 0.0239 data_time: 0.0020 memory: 539 2022/08/26 17:09:00 - mmengine - INFO - Epoch(val) [220][445/500] eta: 0:00:01 time: 0.0216 data_time: 0.0019 memory: 489 2022/08/26 17:09:00 - mmengine - INFO - Epoch(val) [220][450/500] eta: 0:00:01 time: 0.0202 data_time: 0.0019 memory: 507 2022/08/26 17:09:00 - mmengine - INFO - Epoch(val) [220][455/500] eta: 0:00:01 time: 0.0228 data_time: 0.0021 memory: 606 2022/08/26 17:09:00 - mmengine - INFO - Epoch(val) [220][460/500] eta: 0:00:00 time: 0.0225 data_time: 0.0021 memory: 499 2022/08/26 17:09:00 - mmengine - INFO - Epoch(val) [220][465/500] eta: 0:00:00 time: 0.0291 data_time: 0.0022 memory: 539 2022/08/26 17:09:01 - mmengine - INFO - Epoch(val) [220][470/500] eta: 0:00:01 time: 0.0335 data_time: 0.0024 memory: 516 2022/08/26 17:09:01 - mmengine - INFO - Epoch(val) [220][475/500] eta: 0:00:01 time: 0.0259 data_time: 0.0023 memory: 507 2022/08/26 17:09:01 - mmengine - INFO - Epoch(val) [220][480/500] eta: 0:00:00 time: 0.0285 data_time: 0.0025 memory: 464 2022/08/26 17:09:01 - mmengine - INFO - Epoch(val) [220][485/500] eta: 0:00:00 time: 0.0297 data_time: 0.0027 memory: 497 2022/08/26 17:09:01 - mmengine - INFO - Epoch(val) [220][490/500] eta: 0:00:00 time: 0.0220 data_time: 0.0024 memory: 497 2022/08/26 17:09:01 - mmengine - INFO - Epoch(val) [220][495/500] eta: 0:00:00 time: 0.0255 data_time: 0.0022 memory: 480 2022/08/26 17:09:01 - mmengine - INFO - Epoch(val) [220][500/500] eta: 0:00:00 time: 0.0279 data_time: 0.0024 memory: 522 2022/08/26 17:09:01 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 17:09:02 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7561, precision: 0.6500, hmean: 0.6990 2022/08/26 17:09:02 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7561, precision: 0.6500, hmean: 0.6990 2022/08/26 17:09:02 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7561, precision: 0.6500, hmean: 0.6990 2022/08/26 17:09:02 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7561, precision: 0.6500, hmean: 0.6990 2022/08/26 17:09:02 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7561, precision: 0.6500, hmean: 0.6990 2022/08/26 17:09:02 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7561, precision: 0.6505, hmean: 0.6994 2022/08/26 17:09:02 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7561, precision: 0.6643, hmean: 0.7072 2022/08/26 17:09:02 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7558, precision: 0.6855, hmean: 0.7189 2022/08/26 17:09:02 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7551, precision: 0.7092, hmean: 0.7315 2022/08/26 17:09:02 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7532, precision: 0.7306, hmean: 0.7417 2022/08/26 17:09:02 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7502, precision: 0.7574, hmean: 0.7538 2022/08/26 17:09:02 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7418, precision: 0.7852, hmean: 0.7629 2022/08/26 17:09:02 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7089, precision: 0.8183, hmean: 0.7597 2022/08/26 17:09:02 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.4862, precision: 0.8657, hmean: 0.6227 2022/08/26 17:09:02 - mmengine - INFO - Epoch(val) [220][500/500] icdar/precision: 0.7852 icdar/recall: 0.7418 icdar/hmean: 0.7629 2022/08/26 17:09:06 - mmengine - INFO - Epoch(train) [221][5/63] lr: 6.6236e-04 eta: 0:00:00 time: 0.9685 data_time: 0.1749 memory: 12277 loss_text: 0.0578 loss_kernel: 0.0372 loss_embedding: 0.0141 loss: 0.1091 2022/08/26 17:09:09 - mmengine - INFO - Epoch(train) [221][10/63] lr: 6.6236e-04 eta: 3:42:05 time: 0.7771 data_time: 0.1681 memory: 12277 loss_text: 0.0516 loss_kernel: 0.0356 loss_embedding: 0.0119 loss: 0.0990 2022/08/26 17:09:12 - mmengine - INFO - Epoch(train) [221][15/63] lr: 6.6236e-04 eta: 3:42:05 time: 0.5920 data_time: 0.0264 memory: 12277 loss_text: 0.0551 loss_kernel: 0.0355 loss_embedding: 0.0141 loss: 0.1047 2022/08/26 17:09:16 - mmengine - INFO - Epoch(train) [221][20/63] lr: 6.6236e-04 eta: 3:42:00 time: 0.6286 data_time: 0.0342 memory: 12277 loss_text: 0.0547 loss_kernel: 0.0353 loss_embedding: 0.0148 loss: 0.1047 2022/08/26 17:09:18 - mmengine - INFO - Epoch(train) [221][25/63] lr: 6.6236e-04 eta: 3:42:00 time: 0.6261 data_time: 0.0461 memory: 12277 loss_text: 0.0489 loss_kernel: 0.0341 loss_embedding: 0.0129 loss: 0.0959 2022/08/26 17:09:21 - mmengine - INFO - Epoch(train) [221][30/63] lr: 6.6236e-04 eta: 3:41:55 time: 0.5611 data_time: 0.0423 memory: 12277 loss_text: 0.0504 loss_kernel: 0.0367 loss_embedding: 0.0123 loss: 0.0995 2022/08/26 17:09:24 - mmengine - INFO - Epoch(train) [221][35/63] lr: 6.6236e-04 eta: 3:41:55 time: 0.5236 data_time: 0.0323 memory: 12277 loss_text: 0.0671 loss_kernel: 0.0424 loss_embedding: 0.0124 loss: 0.1219 2022/08/26 17:09:26 - mmengine - INFO - Epoch(train) [221][40/63] lr: 6.6236e-04 eta: 3:41:49 time: 0.5145 data_time: 0.0439 memory: 12277 loss_text: 0.0651 loss_kernel: 0.0387 loss_embedding: 0.0106 loss: 0.1144 2022/08/26 17:09:30 - mmengine - INFO - Epoch(train) [221][45/63] lr: 6.6236e-04 eta: 3:41:49 time: 0.6045 data_time: 0.0492 memory: 12277 loss_text: 0.0512 loss_kernel: 0.0332 loss_embedding: 0.0111 loss: 0.0955 2022/08/26 17:09:32 - mmengine - INFO - Epoch(train) [221][50/63] lr: 6.6236e-04 eta: 3:41:44 time: 0.6066 data_time: 0.0494 memory: 12277 loss_text: 0.0589 loss_kernel: 0.0365 loss_embedding: 0.0123 loss: 0.1078 2022/08/26 17:09:35 - mmengine - INFO - Epoch(train) [221][55/63] lr: 6.6236e-04 eta: 3:41:44 time: 0.5489 data_time: 0.0484 memory: 12277 loss_text: 0.0621 loss_kernel: 0.0375 loss_embedding: 0.0137 loss: 0.1133 2022/08/26 17:09:38 - mmengine - INFO - Epoch(train) [221][60/63] lr: 6.6236e-04 eta: 3:41:38 time: 0.5501 data_time: 0.0434 memory: 12277 loss_text: 0.0570 loss_kernel: 0.0363 loss_embedding: 0.0139 loss: 0.1073 2022/08/26 17:09:39 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:09:44 - mmengine - INFO - Epoch(train) [222][5/63] lr: 6.6078e-04 eta: 3:41:38 time: 0.6775 data_time: 0.2059 memory: 12277 loss_text: 0.0503 loss_kernel: 0.0327 loss_embedding: 0.0115 loss: 0.0944 2022/08/26 17:09:46 - mmengine - INFO - Epoch(train) [222][10/63] lr: 6.6078e-04 eta: 3:41:31 time: 0.7073 data_time: 0.2131 memory: 12277 loss_text: 0.0568 loss_kernel: 0.0376 loss_embedding: 0.0119 loss: 0.1063 2022/08/26 17:09:49 - mmengine - INFO - Epoch(train) [222][15/63] lr: 6.6078e-04 eta: 3:41:31 time: 0.5519 data_time: 0.0477 memory: 12277 loss_text: 0.0550 loss_kernel: 0.0365 loss_embedding: 0.0116 loss: 0.1031 2022/08/26 17:09:52 - mmengine - INFO - Epoch(train) [222][20/63] lr: 6.6078e-04 eta: 3:41:25 time: 0.5455 data_time: 0.0474 memory: 12277 loss_text: 0.0497 loss_kernel: 0.0328 loss_embedding: 0.0110 loss: 0.0935 2022/08/26 17:09:55 - mmengine - INFO - Epoch(train) [222][25/63] lr: 6.6078e-04 eta: 3:41:25 time: 0.6080 data_time: 0.0797 memory: 12277 loss_text: 0.0562 loss_kernel: 0.0363 loss_embedding: 0.0115 loss: 0.1040 2022/08/26 17:09:58 - mmengine - INFO - Epoch(train) [222][30/63] lr: 6.6078e-04 eta: 3:41:21 time: 0.6289 data_time: 0.0799 memory: 12277 loss_text: 0.0598 loss_kernel: 0.0373 loss_embedding: 0.0111 loss: 0.1081 2022/08/26 17:10:01 - mmengine - INFO - Epoch(train) [222][35/63] lr: 6.6078e-04 eta: 3:41:21 time: 0.5659 data_time: 0.0530 memory: 12277 loss_text: 0.0571 loss_kernel: 0.0344 loss_embedding: 0.0103 loss: 0.1018 2022/08/26 17:10:04 - mmengine - INFO - Epoch(train) [222][40/63] lr: 6.6078e-04 eta: 3:41:15 time: 0.5445 data_time: 0.0456 memory: 12277 loss_text: 0.0667 loss_kernel: 0.0376 loss_embedding: 0.0108 loss: 0.1151 2022/08/26 17:10:06 - mmengine - INFO - Epoch(train) [222][45/63] lr: 6.6078e-04 eta: 3:41:15 time: 0.5334 data_time: 0.0328 memory: 12277 loss_text: 0.0642 loss_kernel: 0.0374 loss_embedding: 0.0117 loss: 0.1133 2022/08/26 17:10:09 - mmengine - INFO - Epoch(train) [222][50/63] lr: 6.6078e-04 eta: 3:41:10 time: 0.5814 data_time: 0.0400 memory: 12277 loss_text: 0.0508 loss_kernel: 0.0333 loss_embedding: 0.0112 loss: 0.0953 2022/08/26 17:10:12 - mmengine - INFO - Epoch(train) [222][55/63] lr: 6.6078e-04 eta: 3:41:10 time: 0.5912 data_time: 0.0543 memory: 12277 loss_text: 0.0525 loss_kernel: 0.0345 loss_embedding: 0.0117 loss: 0.0987 2022/08/26 17:10:15 - mmengine - INFO - Epoch(train) [222][60/63] lr: 6.6078e-04 eta: 3:41:04 time: 0.5386 data_time: 0.0458 memory: 12277 loss_text: 0.0602 loss_kernel: 0.0378 loss_embedding: 0.0131 loss: 0.1111 2022/08/26 17:10:16 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:10:20 - mmengine - INFO - Epoch(train) [223][5/63] lr: 6.5921e-04 eta: 3:41:04 time: 0.6549 data_time: 0.1767 memory: 12277 loss_text: 0.0764 loss_kernel: 0.0422 loss_embedding: 0.0128 loss: 0.1314 2022/08/26 17:10:24 - mmengine - INFO - Epoch(train) [223][10/63] lr: 6.5921e-04 eta: 3:40:57 time: 0.7458 data_time: 0.1922 memory: 12277 loss_text: 0.0596 loss_kernel: 0.0390 loss_embedding: 0.0124 loss: 0.1109 2022/08/26 17:10:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:10:27 - mmengine - INFO - Epoch(train) [223][15/63] lr: 6.5921e-04 eta: 3:40:57 time: 0.6143 data_time: 0.0544 memory: 12277 loss_text: 0.0602 loss_kernel: 0.0375 loss_embedding: 0.0122 loss: 0.1100 2022/08/26 17:10:30 - mmengine - INFO - Epoch(train) [223][20/63] lr: 6.5921e-04 eta: 3:40:52 time: 0.6166 data_time: 0.0391 memory: 12277 loss_text: 0.0597 loss_kernel: 0.0354 loss_embedding: 0.0113 loss: 0.1064 2022/08/26 17:10:33 - mmengine - INFO - Epoch(train) [223][25/63] lr: 6.5921e-04 eta: 3:40:52 time: 0.5967 data_time: 0.0392 memory: 12277 loss_text: 0.0548 loss_kernel: 0.0366 loss_embedding: 0.0107 loss: 0.1022 2022/08/26 17:10:35 - mmengine - INFO - Epoch(train) [223][30/63] lr: 6.5921e-04 eta: 3:40:46 time: 0.5395 data_time: 0.0501 memory: 12277 loss_text: 0.0546 loss_kernel: 0.0354 loss_embedding: 0.0122 loss: 0.1022 2022/08/26 17:10:38 - mmengine - INFO - Epoch(train) [223][35/63] lr: 6.5921e-04 eta: 3:40:46 time: 0.5299 data_time: 0.0469 memory: 12277 loss_text: 0.0517 loss_kernel: 0.0320 loss_embedding: 0.0105 loss: 0.0942 2022/08/26 17:10:41 - mmengine - INFO - Epoch(train) [223][40/63] lr: 6.5921e-04 eta: 3:40:42 time: 0.6047 data_time: 0.0431 memory: 12277 loss_text: 0.0574 loss_kernel: 0.0338 loss_embedding: 0.0101 loss: 0.1013 2022/08/26 17:10:44 - mmengine - INFO - Epoch(train) [223][45/63] lr: 6.5921e-04 eta: 3:40:42 time: 0.6211 data_time: 0.0518 memory: 12277 loss_text: 0.0625 loss_kernel: 0.0352 loss_embedding: 0.0114 loss: 0.1090 2022/08/26 17:10:47 - mmengine - INFO - Epoch(train) [223][50/63] lr: 6.5921e-04 eta: 3:40:36 time: 0.5631 data_time: 0.0606 memory: 12277 loss_text: 0.0629 loss_kernel: 0.0373 loss_embedding: 0.0108 loss: 0.1110 2022/08/26 17:10:50 - mmengine - INFO - Epoch(train) [223][55/63] lr: 6.5921e-04 eta: 3:40:36 time: 0.5590 data_time: 0.0484 memory: 12277 loss_text: 0.0630 loss_kernel: 0.0385 loss_embedding: 0.0099 loss: 0.1114 2022/08/26 17:10:52 - mmengine - INFO - Epoch(train) [223][60/63] lr: 6.5921e-04 eta: 3:40:30 time: 0.5363 data_time: 0.0369 memory: 12277 loss_text: 0.0600 loss_kernel: 0.0360 loss_embedding: 0.0126 loss: 0.1086 2022/08/26 17:10:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:10:58 - mmengine - INFO - Epoch(train) [224][5/63] lr: 6.5764e-04 eta: 3:40:30 time: 0.6220 data_time: 0.1594 memory: 12277 loss_text: 0.0550 loss_kernel: 0.0362 loss_embedding: 0.0114 loss: 0.1025 2022/08/26 17:11:03 - mmengine - INFO - Epoch(train) [224][10/63] lr: 6.5764e-04 eta: 3:40:26 time: 0.9122 data_time: 0.1714 memory: 12277 loss_text: 0.0537 loss_kernel: 0.0345 loss_embedding: 0.0123 loss: 0.1006 2022/08/26 17:11:06 - mmengine - INFO - Epoch(train) [224][15/63] lr: 6.5764e-04 eta: 3:40:26 time: 0.8014 data_time: 0.0521 memory: 12277 loss_text: 0.0550 loss_kernel: 0.0351 loss_embedding: 0.0122 loss: 0.1022 2022/08/26 17:11:08 - mmengine - INFO - Epoch(train) [224][20/63] lr: 6.5764e-04 eta: 3:40:21 time: 0.5544 data_time: 0.0431 memory: 12277 loss_text: 0.0547 loss_kernel: 0.0346 loss_embedding: 0.0108 loss: 0.1001 2022/08/26 17:11:11 - mmengine - INFO - Epoch(train) [224][25/63] lr: 6.5764e-04 eta: 3:40:21 time: 0.5536 data_time: 0.0485 memory: 12277 loss_text: 0.0545 loss_kernel: 0.0333 loss_embedding: 0.0113 loss: 0.0992 2022/08/26 17:11:14 - mmengine - INFO - Epoch(train) [224][30/63] lr: 6.5764e-04 eta: 3:40:15 time: 0.5499 data_time: 0.0486 memory: 12277 loss_text: 0.0584 loss_kernel: 0.0366 loss_embedding: 0.0123 loss: 0.1074 2022/08/26 17:11:17 - mmengine - INFO - Epoch(train) [224][35/63] lr: 6.5764e-04 eta: 3:40:15 time: 0.5520 data_time: 0.0514 memory: 12277 loss_text: 0.0635 loss_kernel: 0.0383 loss_embedding: 0.0136 loss: 0.1154 2022/08/26 17:11:20 - mmengine - INFO - Epoch(train) [224][40/63] lr: 6.5764e-04 eta: 3:40:11 time: 0.6340 data_time: 0.0470 memory: 12277 loss_text: 0.0618 loss_kernel: 0.0370 loss_embedding: 0.0117 loss: 0.1104 2022/08/26 17:11:23 - mmengine - INFO - Epoch(train) [224][45/63] lr: 6.5764e-04 eta: 3:40:11 time: 0.6267 data_time: 0.0465 memory: 12277 loss_text: 0.0668 loss_kernel: 0.0391 loss_embedding: 0.0101 loss: 0.1160 2022/08/26 17:11:26 - mmengine - INFO - Epoch(train) [224][50/63] lr: 6.5764e-04 eta: 3:40:05 time: 0.5538 data_time: 0.0479 memory: 12277 loss_text: 0.0630 loss_kernel: 0.0376 loss_embedding: 0.0124 loss: 0.1129 2022/08/26 17:11:29 - mmengine - INFO - Epoch(train) [224][55/63] lr: 6.5764e-04 eta: 3:40:05 time: 0.5918 data_time: 0.0406 memory: 12277 loss_text: 0.0515 loss_kernel: 0.0353 loss_embedding: 0.0122 loss: 0.0991 2022/08/26 17:11:32 - mmengine - INFO - Epoch(train) [224][60/63] lr: 6.5764e-04 eta: 3:40:00 time: 0.5856 data_time: 0.0414 memory: 12277 loss_text: 0.0531 loss_kernel: 0.0356 loss_embedding: 0.0115 loss: 0.1003 2022/08/26 17:11:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:11:38 - mmengine - INFO - Epoch(train) [225][5/63] lr: 6.5606e-04 eta: 3:40:00 time: 0.7204 data_time: 0.2393 memory: 12277 loss_text: 0.0578 loss_kernel: 0.0365 loss_embedding: 0.0118 loss: 0.1060 2022/08/26 17:11:41 - mmengine - INFO - Epoch(train) [225][10/63] lr: 6.5606e-04 eta: 3:39:53 time: 0.7509 data_time: 0.2280 memory: 12277 loss_text: 0.0520 loss_kernel: 0.0335 loss_embedding: 0.0134 loss: 0.0989 2022/08/26 17:11:43 - mmengine - INFO - Epoch(train) [225][15/63] lr: 6.5606e-04 eta: 3:39:53 time: 0.5655 data_time: 0.0584 memory: 12277 loss_text: 0.0580 loss_kernel: 0.0359 loss_embedding: 0.0114 loss: 0.1053 2022/08/26 17:11:46 - mmengine - INFO - Epoch(train) [225][20/63] lr: 6.5606e-04 eta: 3:39:48 time: 0.5636 data_time: 0.0567 memory: 12277 loss_text: 0.0723 loss_kernel: 0.0425 loss_embedding: 0.0114 loss: 0.1262 2022/08/26 17:11:51 - mmengine - INFO - Epoch(train) [225][25/63] lr: 6.5606e-04 eta: 3:39:48 time: 0.7406 data_time: 0.0541 memory: 12277 loss_text: 0.0638 loss_kernel: 0.0383 loss_embedding: 0.0114 loss: 0.1135 2022/08/26 17:11:53 - mmengine - INFO - Epoch(train) [225][30/63] lr: 6.5606e-04 eta: 3:39:45 time: 0.7043 data_time: 0.0361 memory: 12277 loss_text: 0.0518 loss_kernel: 0.0330 loss_embedding: 0.0121 loss: 0.0970 2022/08/26 17:11:56 - mmengine - INFO - Epoch(train) [225][35/63] lr: 6.5606e-04 eta: 3:39:45 time: 0.5314 data_time: 0.0307 memory: 12277 loss_text: 0.0533 loss_kernel: 0.0352 loss_embedding: 0.0122 loss: 0.1007 2022/08/26 17:11:59 - mmengine - INFO - Epoch(train) [225][40/63] lr: 6.5606e-04 eta: 3:39:39 time: 0.5614 data_time: 0.0441 memory: 12277 loss_text: 0.0609 loss_kernel: 0.0369 loss_embedding: 0.0117 loss: 0.1095 2022/08/26 17:12:02 - mmengine - INFO - Epoch(train) [225][45/63] lr: 6.5606e-04 eta: 3:39:39 time: 0.5494 data_time: 0.0440 memory: 12277 loss_text: 0.0759 loss_kernel: 0.0387 loss_embedding: 0.0119 loss: 0.1265 2022/08/26 17:12:04 - mmengine - INFO - Epoch(train) [225][50/63] lr: 6.5606e-04 eta: 3:39:33 time: 0.5404 data_time: 0.0362 memory: 12277 loss_text: 0.0650 loss_kernel: 0.0352 loss_embedding: 0.0121 loss: 0.1124 2022/08/26 17:12:07 - mmengine - INFO - Epoch(train) [225][55/63] lr: 6.5606e-04 eta: 3:39:33 time: 0.5481 data_time: 0.0372 memory: 12277 loss_text: 0.0538 loss_kernel: 0.0319 loss_embedding: 0.0120 loss: 0.0977 2022/08/26 17:12:11 - mmengine - INFO - Epoch(train) [225][60/63] lr: 6.5606e-04 eta: 3:39:29 time: 0.6364 data_time: 0.0472 memory: 12277 loss_text: 0.0559 loss_kernel: 0.0324 loss_embedding: 0.0112 loss: 0.0994 2022/08/26 17:12:12 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:12:17 - mmengine - INFO - Epoch(train) [226][5/63] lr: 6.5449e-04 eta: 3:39:29 time: 0.7627 data_time: 0.2806 memory: 12277 loss_text: 0.0574 loss_kernel: 0.0342 loss_embedding: 0.0102 loss: 0.1018 2022/08/26 17:12:20 - mmengine - INFO - Epoch(train) [226][10/63] lr: 6.5449e-04 eta: 3:39:23 time: 0.7776 data_time: 0.2855 memory: 12277 loss_text: 0.0589 loss_kernel: 0.0379 loss_embedding: 0.0097 loss: 0.1066 2022/08/26 17:12:23 - mmengine - INFO - Epoch(train) [226][15/63] lr: 6.5449e-04 eta: 3:39:23 time: 0.5592 data_time: 0.0483 memory: 12277 loss_text: 0.0607 loss_kernel: 0.0385 loss_embedding: 0.0106 loss: 0.1098 2022/08/26 17:12:26 - mmengine - INFO - Epoch(train) [226][20/63] lr: 6.5449e-04 eta: 3:39:17 time: 0.5630 data_time: 0.0351 memory: 12277 loss_text: 0.0506 loss_kernel: 0.0330 loss_embedding: 0.0122 loss: 0.0958 2022/08/26 17:12:28 - mmengine - INFO - Epoch(train) [226][25/63] lr: 6.5449e-04 eta: 3:39:17 time: 0.5500 data_time: 0.0362 memory: 12277 loss_text: 0.0711 loss_kernel: 0.0430 loss_embedding: 0.0148 loss: 0.1289 2022/08/26 17:12:31 - mmengine - INFO - Epoch(train) [226][30/63] lr: 6.5449e-04 eta: 3:39:11 time: 0.5438 data_time: 0.0497 memory: 12277 loss_text: 0.0687 loss_kernel: 0.0421 loss_embedding: 0.0117 loss: 0.1226 2022/08/26 17:12:34 - mmengine - INFO - Epoch(train) [226][35/63] lr: 6.5449e-04 eta: 3:39:11 time: 0.5337 data_time: 0.0466 memory: 12277 loss_text: 0.0477 loss_kernel: 0.0324 loss_embedding: 0.0100 loss: 0.0902 2022/08/26 17:12:36 - mmengine - INFO - Epoch(train) [226][40/63] lr: 6.5449e-04 eta: 3:39:05 time: 0.5381 data_time: 0.0345 memory: 12277 loss_text: 0.0494 loss_kernel: 0.0323 loss_embedding: 0.0133 loss: 0.0950 2022/08/26 17:12:40 - mmengine - INFO - Epoch(train) [226][45/63] lr: 6.5449e-04 eta: 3:39:05 time: 0.5947 data_time: 0.0342 memory: 12277 loss_text: 0.0491 loss_kernel: 0.0325 loss_embedding: 0.0120 loss: 0.0936 2022/08/26 17:12:43 - mmengine - INFO - Epoch(train) [226][50/63] lr: 6.5449e-04 eta: 3:39:01 time: 0.6130 data_time: 0.0543 memory: 12277 loss_text: 0.0521 loss_kernel: 0.0336 loss_embedding: 0.0100 loss: 0.0957 2022/08/26 17:12:45 - mmengine - INFO - Epoch(train) [226][55/63] lr: 6.5449e-04 eta: 3:39:01 time: 0.5537 data_time: 0.0507 memory: 12277 loss_text: 0.0555 loss_kernel: 0.0333 loss_embedding: 0.0129 loss: 0.1017 2022/08/26 17:12:48 - mmengine - INFO - Epoch(train) [226][60/63] lr: 6.5449e-04 eta: 3:38:55 time: 0.5416 data_time: 0.0291 memory: 12277 loss_text: 0.0526 loss_kernel: 0.0323 loss_embedding: 0.0141 loss: 0.0991 2022/08/26 17:12:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:12:53 - mmengine - INFO - Epoch(train) [227][5/63] lr: 6.5291e-04 eta: 3:38:55 time: 0.6519 data_time: 0.1525 memory: 12277 loss_text: 0.0569 loss_kernel: 0.0361 loss_embedding: 0.0119 loss: 0.1050 2022/08/26 17:12:56 - mmengine - INFO - Epoch(train) [227][10/63] lr: 6.5291e-04 eta: 3:38:47 time: 0.6902 data_time: 0.1678 memory: 12277 loss_text: 0.0573 loss_kernel: 0.0353 loss_embedding: 0.0127 loss: 0.1052 2022/08/26 17:12:59 - mmengine - INFO - Epoch(train) [227][15/63] lr: 6.5291e-04 eta: 3:38:47 time: 0.5838 data_time: 0.0511 memory: 12277 loss_text: 0.0507 loss_kernel: 0.0360 loss_embedding: 0.0121 loss: 0.0988 2022/08/26 17:13:02 - mmengine - INFO - Epoch(train) [227][20/63] lr: 6.5291e-04 eta: 3:38:42 time: 0.5597 data_time: 0.0356 memory: 12277 loss_text: 0.0496 loss_kernel: 0.0359 loss_embedding: 0.0112 loss: 0.0968 2022/08/26 17:13:05 - mmengine - INFO - Epoch(train) [227][25/63] lr: 6.5291e-04 eta: 3:38:42 time: 0.5420 data_time: 0.0387 memory: 12277 loss_text: 0.0532 loss_kernel: 0.0342 loss_embedding: 0.0113 loss: 0.0987 2022/08/26 17:13:08 - mmengine - INFO - Epoch(train) [227][30/63] lr: 6.5291e-04 eta: 3:38:36 time: 0.5609 data_time: 0.0533 memory: 12277 loss_text: 0.0540 loss_kernel: 0.0347 loss_embedding: 0.0116 loss: 0.1003 2022/08/26 17:13:10 - mmengine - INFO - Epoch(train) [227][35/63] lr: 6.5291e-04 eta: 3:38:36 time: 0.5695 data_time: 0.0453 memory: 12277 loss_text: 0.0510 loss_kernel: 0.0328 loss_embedding: 0.0120 loss: 0.0958 2022/08/26 17:13:13 - mmengine - INFO - Epoch(train) [227][40/63] lr: 6.5291e-04 eta: 3:38:30 time: 0.5553 data_time: 0.0310 memory: 12277 loss_text: 0.0535 loss_kernel: 0.0339 loss_embedding: 0.0117 loss: 0.0992 2022/08/26 17:13:16 - mmengine - INFO - Epoch(train) [227][45/63] lr: 6.5291e-04 eta: 3:38:30 time: 0.5462 data_time: 0.0372 memory: 12277 loss_text: 0.0601 loss_kernel: 0.0359 loss_embedding: 0.0096 loss: 0.1056 2022/08/26 17:13:19 - mmengine - INFO - Epoch(train) [227][50/63] lr: 6.5291e-04 eta: 3:38:25 time: 0.5652 data_time: 0.0503 memory: 12277 loss_text: 0.0641 loss_kernel: 0.0361 loss_embedding: 0.0096 loss: 0.1098 2022/08/26 17:13:21 - mmengine - INFO - Epoch(train) [227][55/63] lr: 6.5291e-04 eta: 3:38:25 time: 0.5637 data_time: 0.0471 memory: 12277 loss_text: 0.0637 loss_kernel: 0.0364 loss_embedding: 0.0120 loss: 0.1121 2022/08/26 17:13:24 - mmengine - INFO - Epoch(train) [227][60/63] lr: 6.5291e-04 eta: 3:38:19 time: 0.5514 data_time: 0.0321 memory: 12277 loss_text: 0.0644 loss_kernel: 0.0379 loss_embedding: 0.0143 loss: 0.1166 2022/08/26 17:13:26 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:13:31 - mmengine - INFO - Epoch(train) [228][5/63] lr: 6.5134e-04 eta: 3:38:19 time: 0.7697 data_time: 0.2479 memory: 12277 loss_text: 0.0657 loss_kernel: 0.0372 loss_embedding: 0.0124 loss: 0.1153 2022/08/26 17:13:34 - mmengine - INFO - Epoch(train) [228][10/63] lr: 6.5134e-04 eta: 3:38:13 time: 0.7956 data_time: 0.2564 memory: 12277 loss_text: 0.0517 loss_kernel: 0.0325 loss_embedding: 0.0106 loss: 0.0947 2022/08/26 17:13:36 - mmengine - INFO - Epoch(train) [228][15/63] lr: 6.5134e-04 eta: 3:38:13 time: 0.5491 data_time: 0.0478 memory: 12277 loss_text: 0.0525 loss_kernel: 0.0341 loss_embedding: 0.0120 loss: 0.0987 2022/08/26 17:13:39 - mmengine - INFO - Epoch(train) [228][20/63] lr: 6.5134e-04 eta: 3:38:07 time: 0.5434 data_time: 0.0421 memory: 12277 loss_text: 0.0605 loss_kernel: 0.0382 loss_embedding: 0.0119 loss: 0.1106 2022/08/26 17:13:42 - mmengine - INFO - Epoch(train) [228][25/63] lr: 6.5134e-04 eta: 3:38:07 time: 0.5365 data_time: 0.0427 memory: 12277 loss_text: 0.0709 loss_kernel: 0.0459 loss_embedding: 0.0097 loss: 0.1265 2022/08/26 17:13:45 - mmengine - INFO - Epoch(train) [228][30/63] lr: 6.5134e-04 eta: 3:38:02 time: 0.5379 data_time: 0.0519 memory: 12277 loss_text: 0.0702 loss_kernel: 0.0466 loss_embedding: 0.0107 loss: 0.1276 2022/08/26 17:13:47 - mmengine - INFO - Epoch(train) [228][35/63] lr: 6.5134e-04 eta: 3:38:02 time: 0.5299 data_time: 0.0509 memory: 12277 loss_text: 0.0608 loss_kernel: 0.0401 loss_embedding: 0.0154 loss: 0.1163 2022/08/26 17:13:53 - mmengine - INFO - Epoch(train) [228][40/63] lr: 6.5134e-04 eta: 3:38:00 time: 0.8328 data_time: 0.0373 memory: 12277 loss_text: 0.0672 loss_kernel: 0.0410 loss_embedding: 0.0164 loss: 0.1246 2022/08/26 17:13:57 - mmengine - INFO - Epoch(train) [228][45/63] lr: 6.5134e-04 eta: 3:38:00 time: 0.9533 data_time: 0.0462 memory: 12277 loss_text: 0.0620 loss_kernel: 0.0379 loss_embedding: 0.0137 loss: 0.1136 2022/08/26 17:13:59 - mmengine - INFO - Epoch(train) [228][50/63] lr: 6.5134e-04 eta: 3:37:56 time: 0.6502 data_time: 0.0436 memory: 12277 loss_text: 0.0489 loss_kernel: 0.0319 loss_embedding: 0.0115 loss: 0.0923 2022/08/26 17:14:02 - mmengine - INFO - Epoch(train) [228][55/63] lr: 6.5134e-04 eta: 3:37:56 time: 0.5553 data_time: 0.0366 memory: 12277 loss_text: 0.0528 loss_kernel: 0.0338 loss_embedding: 0.0112 loss: 0.0979 2022/08/26 17:14:05 - mmengine - INFO - Epoch(train) [228][60/63] lr: 6.5134e-04 eta: 3:37:51 time: 0.5672 data_time: 0.0312 memory: 12277 loss_text: 0.0539 loss_kernel: 0.0347 loss_embedding: 0.0123 loss: 0.1009 2022/08/26 17:14:06 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:14:11 - mmengine - INFO - Epoch(train) [229][5/63] lr: 6.4976e-04 eta: 3:37:51 time: 0.7485 data_time: 0.2068 memory: 12277 loss_text: 0.0499 loss_kernel: 0.0327 loss_embedding: 0.0133 loss: 0.0959 2022/08/26 17:14:14 - mmengine - INFO - Epoch(train) [229][10/63] lr: 6.4976e-04 eta: 3:37:44 time: 0.7698 data_time: 0.2123 memory: 12277 loss_text: 0.0530 loss_kernel: 0.0338 loss_embedding: 0.0126 loss: 0.0994 2022/08/26 17:14:17 - mmengine - INFO - Epoch(train) [229][15/63] lr: 6.4976e-04 eta: 3:37:44 time: 0.5416 data_time: 0.0301 memory: 12277 loss_text: 0.0522 loss_kernel: 0.0332 loss_embedding: 0.0126 loss: 0.0980 2022/08/26 17:14:20 - mmengine - INFO - Epoch(train) [229][20/63] lr: 6.4976e-04 eta: 3:37:39 time: 0.5580 data_time: 0.0399 memory: 12277 loss_text: 0.0575 loss_kernel: 0.0338 loss_embedding: 0.0136 loss: 0.1050 2022/08/26 17:14:23 - mmengine - INFO - Epoch(train) [229][25/63] lr: 6.4976e-04 eta: 3:37:39 time: 0.5933 data_time: 0.0388 memory: 12277 loss_text: 0.0682 loss_kernel: 0.0391 loss_embedding: 0.0128 loss: 0.1201 2022/08/26 17:14:26 - mmengine - INFO - Epoch(train) [229][30/63] lr: 6.4976e-04 eta: 3:37:34 time: 0.5901 data_time: 0.0237 memory: 12277 loss_text: 0.0646 loss_kernel: 0.0390 loss_embedding: 0.0126 loss: 0.1162 2022/08/26 17:14:28 - mmengine - INFO - Epoch(train) [229][35/63] lr: 6.4976e-04 eta: 3:37:34 time: 0.5511 data_time: 0.0244 memory: 12277 loss_text: 0.0533 loss_kernel: 0.0337 loss_embedding: 0.0138 loss: 0.1008 2022/08/26 17:14:31 - mmengine - INFO - Epoch(train) [229][40/63] lr: 6.4976e-04 eta: 3:37:28 time: 0.5274 data_time: 0.0308 memory: 12277 loss_text: 0.0509 loss_kernel: 0.0357 loss_embedding: 0.0127 loss: 0.0993 2022/08/26 17:14:33 - mmengine - INFO - Epoch(train) [229][45/63] lr: 6.4976e-04 eta: 3:37:28 time: 0.5299 data_time: 0.0356 memory: 12277 loss_text: 0.0520 loss_kernel: 0.0367 loss_embedding: 0.0110 loss: 0.0997 2022/08/26 17:14:36 - mmengine - INFO - Epoch(train) [229][50/63] lr: 6.4976e-04 eta: 3:37:22 time: 0.5297 data_time: 0.0325 memory: 12277 loss_text: 0.0513 loss_kernel: 0.0351 loss_embedding: 0.0112 loss: 0.0976 2022/08/26 17:14:39 - mmengine - INFO - Epoch(train) [229][55/63] lr: 6.4976e-04 eta: 3:37:22 time: 0.5836 data_time: 0.0274 memory: 12277 loss_text: 0.0492 loss_kernel: 0.0331 loss_embedding: 0.0114 loss: 0.0936 2022/08/26 17:14:42 - mmengine - INFO - Epoch(train) [229][60/63] lr: 6.4976e-04 eta: 3:37:17 time: 0.6016 data_time: 0.0321 memory: 12277 loss_text: 0.0534 loss_kernel: 0.0326 loss_embedding: 0.0105 loss: 0.0966 2022/08/26 17:14:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:14:47 - mmengine - INFO - Epoch(train) [230][5/63] lr: 6.4818e-04 eta: 3:37:17 time: 0.6389 data_time: 0.1496 memory: 12277 loss_text: 0.0651 loss_kernel: 0.0383 loss_embedding: 0.0116 loss: 0.1150 2022/08/26 17:14:50 - mmengine - INFO - Epoch(train) [230][10/63] lr: 6.4818e-04 eta: 3:37:09 time: 0.6722 data_time: 0.1631 memory: 12277 loss_text: 0.0648 loss_kernel: 0.0423 loss_embedding: 0.0108 loss: 0.1178 2022/08/26 17:14:53 - mmengine - INFO - Epoch(train) [230][15/63] lr: 6.4818e-04 eta: 3:37:09 time: 0.5346 data_time: 0.0367 memory: 12277 loss_text: 0.0551 loss_kernel: 0.0384 loss_embedding: 0.0107 loss: 0.1042 2022/08/26 17:14:55 - mmengine - INFO - Epoch(train) [230][20/63] lr: 6.4818e-04 eta: 3:37:02 time: 0.5137 data_time: 0.0263 memory: 12277 loss_text: 0.0471 loss_kernel: 0.0314 loss_embedding: 0.0102 loss: 0.0886 2022/08/26 17:14:58 - mmengine - INFO - Epoch(train) [230][25/63] lr: 6.4818e-04 eta: 3:37:02 time: 0.5348 data_time: 0.0265 memory: 12277 loss_text: 0.0457 loss_kernel: 0.0310 loss_embedding: 0.0109 loss: 0.0876 2022/08/26 17:15:01 - mmengine - INFO - Epoch(train) [230][30/63] lr: 6.4818e-04 eta: 3:36:58 time: 0.6015 data_time: 0.0346 memory: 12277 loss_text: 0.0530 loss_kernel: 0.0352 loss_embedding: 0.0113 loss: 0.0995 2022/08/26 17:15:04 - mmengine - INFO - Epoch(train) [230][35/63] lr: 6.4818e-04 eta: 3:36:58 time: 0.5926 data_time: 0.0418 memory: 12277 loss_text: 0.0506 loss_kernel: 0.0384 loss_embedding: 0.0099 loss: 0.0989 2022/08/26 17:15:07 - mmengine - INFO - Epoch(train) [230][40/63] lr: 6.4818e-04 eta: 3:36:51 time: 0.5240 data_time: 0.0360 memory: 12277 loss_text: 0.0455 loss_kernel: 0.0385 loss_embedding: 0.0084 loss: 0.0924 2022/08/26 17:15:10 - mmengine - INFO - Epoch(train) [230][45/63] lr: 6.4818e-04 eta: 3:36:51 time: 0.6059 data_time: 0.0964 memory: 12277 loss_text: 0.0477 loss_kernel: 0.0350 loss_embedding: 0.0100 loss: 0.0927 2022/08/26 17:15:13 - mmengine - INFO - Epoch(train) [230][50/63] lr: 6.4818e-04 eta: 3:36:47 time: 0.6137 data_time: 0.0994 memory: 12277 loss_text: 0.0499 loss_kernel: 0.0314 loss_embedding: 0.0113 loss: 0.0926 2022/08/26 17:15:16 - mmengine - INFO - Epoch(train) [230][55/63] lr: 6.4818e-04 eta: 3:36:47 time: 0.5377 data_time: 0.0350 memory: 12277 loss_text: 0.0598 loss_kernel: 0.0366 loss_embedding: 0.0111 loss: 0.1076 2022/08/26 17:15:18 - mmengine - INFO - Epoch(train) [230][60/63] lr: 6.4818e-04 eta: 3:36:41 time: 0.5405 data_time: 0.0320 memory: 12277 loss_text: 0.0585 loss_kernel: 0.0373 loss_embedding: 0.0111 loss: 0.1069 2022/08/26 17:15:20 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:15:24 - mmengine - INFO - Epoch(train) [231][5/63] lr: 6.4661e-04 eta: 3:36:41 time: 0.7313 data_time: 0.1725 memory: 12277 loss_text: 0.0501 loss_kernel: 0.0325 loss_embedding: 0.0127 loss: 0.0953 2022/08/26 17:15:27 - mmengine - INFO - Epoch(train) [231][10/63] lr: 6.4661e-04 eta: 3:36:33 time: 0.6919 data_time: 0.1772 memory: 12277 loss_text: 0.0494 loss_kernel: 0.0335 loss_embedding: 0.0103 loss: 0.0932 2022/08/26 17:15:30 - mmengine - INFO - Epoch(train) [231][15/63] lr: 6.4661e-04 eta: 3:36:33 time: 0.5372 data_time: 0.0326 memory: 12277 loss_text: 0.0533 loss_kernel: 0.0359 loss_embedding: 0.0123 loss: 0.1015 2022/08/26 17:15:33 - mmengine - INFO - Epoch(train) [231][20/63] lr: 6.4661e-04 eta: 3:36:27 time: 0.5320 data_time: 0.0309 memory: 12277 loss_text: 0.0512 loss_kernel: 0.0348 loss_embedding: 0.0131 loss: 0.0991 2022/08/26 17:15:35 - mmengine - INFO - Epoch(train) [231][25/63] lr: 6.4661e-04 eta: 3:36:27 time: 0.5430 data_time: 0.0304 memory: 12277 loss_text: 0.0481 loss_kernel: 0.0319 loss_embedding: 0.0106 loss: 0.0907 2022/08/26 17:15:38 - mmengine - INFO - Epoch(train) [231][30/63] lr: 6.4661e-04 eta: 3:36:21 time: 0.5379 data_time: 0.0281 memory: 12277 loss_text: 0.0576 loss_kernel: 0.0361 loss_embedding: 0.0098 loss: 0.1036 2022/08/26 17:15:41 - mmengine - INFO - Epoch(train) [231][35/63] lr: 6.4661e-04 eta: 3:36:21 time: 0.5554 data_time: 0.0322 memory: 12277 loss_text: 0.0635 loss_kernel: 0.0366 loss_embedding: 0.0091 loss: 0.1091 2022/08/26 17:15:43 - mmengine - INFO - Epoch(train) [231][40/63] lr: 6.4661e-04 eta: 3:36:16 time: 0.5492 data_time: 0.0316 memory: 12277 loss_text: 0.0581 loss_kernel: 0.0367 loss_embedding: 0.0101 loss: 0.1049 2022/08/26 17:15:46 - mmengine - INFO - Epoch(train) [231][45/63] lr: 6.4661e-04 eta: 3:36:16 time: 0.5231 data_time: 0.0287 memory: 12277 loss_text: 0.0558 loss_kernel: 0.0388 loss_embedding: 0.0106 loss: 0.1052 2022/08/26 17:15:49 - mmengine - INFO - Epoch(train) [231][50/63] lr: 6.4661e-04 eta: 3:36:10 time: 0.5332 data_time: 0.0333 memory: 12277 loss_text: 0.0539 loss_kernel: 0.0351 loss_embedding: 0.0098 loss: 0.0988 2022/08/26 17:15:51 - mmengine - INFO - Epoch(train) [231][55/63] lr: 6.4661e-04 eta: 3:36:10 time: 0.5363 data_time: 0.0406 memory: 12277 loss_text: 0.0565 loss_kernel: 0.0334 loss_embedding: 0.0103 loss: 0.1003 2022/08/26 17:15:54 - mmengine - INFO - Epoch(train) [231][60/63] lr: 6.4661e-04 eta: 3:36:03 time: 0.5212 data_time: 0.0308 memory: 12277 loss_text: 0.0587 loss_kernel: 0.0340 loss_embedding: 0.0115 loss: 0.1041 2022/08/26 17:15:55 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:16:00 - mmengine - INFO - Epoch(train) [232][5/63] lr: 6.4503e-04 eta: 3:36:03 time: 0.6734 data_time: 0.1609 memory: 12277 loss_text: 0.0504 loss_kernel: 0.0339 loss_embedding: 0.0112 loss: 0.0955 2022/08/26 17:16:03 - mmengine - INFO - Epoch(train) [232][10/63] lr: 6.4503e-04 eta: 3:35:56 time: 0.7206 data_time: 0.1723 memory: 12277 loss_text: 0.0557 loss_kernel: 0.0369 loss_embedding: 0.0100 loss: 0.1025 2022/08/26 17:16:05 - mmengine - INFO - Epoch(train) [232][15/63] lr: 6.4503e-04 eta: 3:35:56 time: 0.5474 data_time: 0.0310 memory: 12277 loss_text: 0.0638 loss_kernel: 0.0403 loss_embedding: 0.0095 loss: 0.1136 2022/08/26 17:16:08 - mmengine - INFO - Epoch(train) [232][20/63] lr: 6.4503e-04 eta: 3:35:50 time: 0.5424 data_time: 0.0243 memory: 12277 loss_text: 0.0630 loss_kernel: 0.0377 loss_embedding: 0.0110 loss: 0.1116 2022/08/26 17:16:11 - mmengine - INFO - Epoch(train) [232][25/63] lr: 6.4503e-04 eta: 3:35:50 time: 0.5529 data_time: 0.0291 memory: 12277 loss_text: 0.0568 loss_kernel: 0.0344 loss_embedding: 0.0113 loss: 0.1025 2022/08/26 17:16:14 - mmengine - INFO - Epoch(train) [232][30/63] lr: 6.4503e-04 eta: 3:35:45 time: 0.5493 data_time: 0.0302 memory: 12277 loss_text: 0.0532 loss_kernel: 0.0330 loss_embedding: 0.0128 loss: 0.0991 2022/08/26 17:16:16 - mmengine - INFO - Epoch(train) [232][35/63] lr: 6.4503e-04 eta: 3:35:45 time: 0.5615 data_time: 0.0280 memory: 12277 loss_text: 0.0549 loss_kernel: 0.0322 loss_embedding: 0.0146 loss: 0.1016 2022/08/26 17:16:20 - mmengine - INFO - Epoch(train) [232][40/63] lr: 6.4503e-04 eta: 3:35:41 time: 0.6730 data_time: 0.0337 memory: 12277 loss_text: 0.0558 loss_kernel: 0.0329 loss_embedding: 0.0124 loss: 0.1011 2022/08/26 17:16:23 - mmengine - INFO - Epoch(train) [232][45/63] lr: 6.4503e-04 eta: 3:35:41 time: 0.6593 data_time: 0.0377 memory: 12277 loss_text: 0.0528 loss_kernel: 0.0338 loss_embedding: 0.0131 loss: 0.0996 2022/08/26 17:16:26 - mmengine - INFO - Epoch(train) [232][50/63] lr: 6.4503e-04 eta: 3:35:35 time: 0.5343 data_time: 0.0298 memory: 12277 loss_text: 0.0627 loss_kernel: 0.0376 loss_embedding: 0.0131 loss: 0.1133 2022/08/26 17:16:28 - mmengine - INFO - Epoch(train) [232][55/63] lr: 6.4503e-04 eta: 3:35:35 time: 0.5153 data_time: 0.0256 memory: 12277 loss_text: 0.0651 loss_kernel: 0.0444 loss_embedding: 0.0129 loss: 0.1224 2022/08/26 17:16:31 - mmengine - INFO - Epoch(train) [232][60/63] lr: 6.4503e-04 eta: 3:35:29 time: 0.5270 data_time: 0.0262 memory: 12277 loss_text: 0.0578 loss_kernel: 0.0389 loss_embedding: 0.0120 loss: 0.1087 2022/08/26 17:16:32 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:16:37 - mmengine - INFO - Epoch(train) [233][5/63] lr: 6.4345e-04 eta: 3:35:29 time: 0.6658 data_time: 0.1821 memory: 12277 loss_text: 0.0595 loss_kernel: 0.0362 loss_embedding: 0.0110 loss: 0.1067 2022/08/26 17:16:40 - mmengine - INFO - Epoch(train) [233][10/63] lr: 6.4345e-04 eta: 3:35:23 time: 0.7856 data_time: 0.2102 memory: 12277 loss_text: 0.0601 loss_kernel: 0.0366 loss_embedding: 0.0125 loss: 0.1092 2022/08/26 17:16:43 - mmengine - INFO - Epoch(train) [233][15/63] lr: 6.4345e-04 eta: 3:35:23 time: 0.5976 data_time: 0.0505 memory: 12277 loss_text: 0.0605 loss_kernel: 0.0370 loss_embedding: 0.0120 loss: 0.1095 2022/08/26 17:16:45 - mmengine - INFO - Epoch(train) [233][20/63] lr: 6.4345e-04 eta: 3:35:16 time: 0.5085 data_time: 0.0235 memory: 12277 loss_text: 0.0560 loss_kernel: 0.0354 loss_embedding: 0.0117 loss: 0.1031 2022/08/26 17:16:48 - mmengine - INFO - Epoch(train) [233][25/63] lr: 6.4345e-04 eta: 3:35:16 time: 0.5262 data_time: 0.0247 memory: 12277 loss_text: 0.0502 loss_kernel: 0.0328 loss_embedding: 0.0124 loss: 0.0954 2022/08/26 17:16:51 - mmengine - INFO - Epoch(train) [233][30/63] lr: 6.4345e-04 eta: 3:35:11 time: 0.5582 data_time: 0.0277 memory: 12277 loss_text: 0.0603 loss_kernel: 0.0377 loss_embedding: 0.0117 loss: 0.1097 2022/08/26 17:16:53 - mmengine - INFO - Epoch(train) [233][35/63] lr: 6.4345e-04 eta: 3:35:11 time: 0.5520 data_time: 0.0283 memory: 12277 loss_text: 0.0632 loss_kernel: 0.0363 loss_embedding: 0.0111 loss: 0.1107 2022/08/26 17:16:56 - mmengine - INFO - Epoch(train) [233][40/63] lr: 6.4345e-04 eta: 3:35:05 time: 0.5265 data_time: 0.0321 memory: 12277 loss_text: 0.0541 loss_kernel: 0.0319 loss_embedding: 0.0107 loss: 0.0967 2022/08/26 17:16:59 - mmengine - INFO - Epoch(train) [233][45/63] lr: 6.4345e-04 eta: 3:35:05 time: 0.5518 data_time: 0.0334 memory: 12277 loss_text: 0.0552 loss_kernel: 0.0331 loss_embedding: 0.0108 loss: 0.0991 2022/08/26 17:17:02 - mmengine - INFO - Epoch(train) [233][50/63] lr: 6.4345e-04 eta: 3:35:00 time: 0.5931 data_time: 0.0493 memory: 12277 loss_text: 0.0557 loss_kernel: 0.0323 loss_embedding: 0.0094 loss: 0.0974 2022/08/26 17:17:05 - mmengine - INFO - Epoch(train) [233][55/63] lr: 6.4345e-04 eta: 3:35:00 time: 0.5693 data_time: 0.0512 memory: 12277 loss_text: 0.0502 loss_kernel: 0.0300 loss_embedding: 0.0092 loss: 0.0894 2022/08/26 17:17:07 - mmengine - INFO - Epoch(train) [233][60/63] lr: 6.4345e-04 eta: 3:34:54 time: 0.5311 data_time: 0.0339 memory: 12277 loss_text: 0.0572 loss_kernel: 0.0310 loss_embedding: 0.0124 loss: 0.1006 2022/08/26 17:17:09 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:17:13 - mmengine - INFO - Epoch(train) [234][5/63] lr: 6.4187e-04 eta: 3:34:54 time: 0.6329 data_time: 0.1606 memory: 12277 loss_text: 0.0564 loss_kernel: 0.0351 loss_embedding: 0.0108 loss: 0.1023 2022/08/26 17:17:15 - mmengine - INFO - Epoch(train) [234][10/63] lr: 6.4187e-04 eta: 3:34:46 time: 0.6953 data_time: 0.1767 memory: 12277 loss_text: 0.0637 loss_kernel: 0.0406 loss_embedding: 0.0119 loss: 0.1162 2022/08/26 17:17:18 - mmengine - INFO - Epoch(train) [234][15/63] lr: 6.4187e-04 eta: 3:34:46 time: 0.5567 data_time: 0.0390 memory: 12277 loss_text: 0.0607 loss_kernel: 0.0406 loss_embedding: 0.0149 loss: 0.1162 2022/08/26 17:17:21 - mmengine - INFO - Epoch(train) [234][20/63] lr: 6.4187e-04 eta: 3:34:40 time: 0.5382 data_time: 0.0232 memory: 12277 loss_text: 0.0590 loss_kernel: 0.0372 loss_embedding: 0.0136 loss: 0.1098 2022/08/26 17:17:23 - mmengine - INFO - Epoch(train) [234][25/63] lr: 6.4187e-04 eta: 3:34:40 time: 0.5244 data_time: 0.0208 memory: 12277 loss_text: 0.0555 loss_kernel: 0.0341 loss_embedding: 0.0121 loss: 0.1017 2022/08/26 17:17:26 - mmengine - INFO - Epoch(train) [234][30/63] lr: 6.4187e-04 eta: 3:34:34 time: 0.5181 data_time: 0.0285 memory: 12277 loss_text: 0.0537 loss_kernel: 0.0323 loss_embedding: 0.0119 loss: 0.0980 2022/08/26 17:17:29 - mmengine - INFO - Epoch(train) [234][35/63] lr: 6.4187e-04 eta: 3:34:34 time: 0.5517 data_time: 0.0358 memory: 12277 loss_text: 0.0620 loss_kernel: 0.0371 loss_embedding: 0.0107 loss: 0.1097 2022/08/26 17:17:31 - mmengine - INFO - Epoch(train) [234][40/63] lr: 6.4187e-04 eta: 3:34:28 time: 0.5421 data_time: 0.0324 memory: 12277 loss_text: 0.0691 loss_kernel: 0.0415 loss_embedding: 0.0121 loss: 0.1226 2022/08/26 17:17:34 - mmengine - INFO - Epoch(train) [234][45/63] lr: 6.4187e-04 eta: 3:34:28 time: 0.5083 data_time: 0.0248 memory: 12277 loss_text: 0.0594 loss_kernel: 0.0365 loss_embedding: 0.0119 loss: 0.1079 2022/08/26 17:17:37 - mmengine - INFO - Epoch(train) [234][50/63] lr: 6.4187e-04 eta: 3:34:22 time: 0.5204 data_time: 0.0275 memory: 12277 loss_text: 0.0565 loss_kernel: 0.0343 loss_embedding: 0.0104 loss: 0.1012 2022/08/26 17:17:40 - mmengine - INFO - Epoch(train) [234][55/63] lr: 6.4187e-04 eta: 3:34:22 time: 0.5675 data_time: 0.0293 memory: 12277 loss_text: 0.0569 loss_kernel: 0.0347 loss_embedding: 0.0110 loss: 0.1026 2022/08/26 17:17:43 - mmengine - INFO - Epoch(train) [234][60/63] lr: 6.4187e-04 eta: 3:34:17 time: 0.5856 data_time: 0.0486 memory: 12277 loss_text: 0.0626 loss_kernel: 0.0390 loss_embedding: 0.0127 loss: 0.1142 2022/08/26 17:17:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:17:48 - mmengine - INFO - Epoch(train) [235][5/63] lr: 6.4029e-04 eta: 3:34:17 time: 0.6615 data_time: 0.1865 memory: 12277 loss_text: 0.0675 loss_kernel: 0.0434 loss_embedding: 0.0121 loss: 0.1230 2022/08/26 17:17:51 - mmengine - INFO - Epoch(train) [235][10/63] lr: 6.4029e-04 eta: 3:34:10 time: 0.7307 data_time: 0.1681 memory: 12277 loss_text: 0.0522 loss_kernel: 0.0333 loss_embedding: 0.0111 loss: 0.0965 2022/08/26 17:17:54 - mmengine - INFO - Epoch(train) [235][15/63] lr: 6.4029e-04 eta: 3:34:10 time: 0.5980 data_time: 0.0373 memory: 12277 loss_text: 0.0542 loss_kernel: 0.0331 loss_embedding: 0.0108 loss: 0.0981 2022/08/26 17:17:57 - mmengine - INFO - Epoch(train) [235][20/63] lr: 6.4029e-04 eta: 3:34:04 time: 0.5383 data_time: 0.0389 memory: 12277 loss_text: 0.0515 loss_kernel: 0.0322 loss_embedding: 0.0105 loss: 0.0942 2022/08/26 17:17:59 - mmengine - INFO - Epoch(train) [235][25/63] lr: 6.4029e-04 eta: 3:34:04 time: 0.5402 data_time: 0.0310 memory: 12277 loss_text: 0.0521 loss_kernel: 0.0315 loss_embedding: 0.0101 loss: 0.0937 2022/08/26 17:18:02 - mmengine - INFO - Epoch(train) [235][30/63] lr: 6.4029e-04 eta: 3:33:58 time: 0.5502 data_time: 0.0310 memory: 12277 loss_text: 0.0555 loss_kernel: 0.0335 loss_embedding: 0.0110 loss: 0.0999 2022/08/26 17:18:05 - mmengine - INFO - Epoch(train) [235][35/63] lr: 6.4029e-04 eta: 3:33:58 time: 0.5437 data_time: 0.0316 memory: 12277 loss_text: 0.0528 loss_kernel: 0.0342 loss_embedding: 0.0112 loss: 0.0983 2022/08/26 17:18:07 - mmengine - INFO - Epoch(train) [235][40/63] lr: 6.4029e-04 eta: 3:33:52 time: 0.5403 data_time: 0.0273 memory: 12277 loss_text: 0.0524 loss_kernel: 0.0332 loss_embedding: 0.0108 loss: 0.0965 2022/08/26 17:18:12 - mmengine - INFO - Epoch(train) [235][45/63] lr: 6.4029e-04 eta: 3:33:52 time: 0.6905 data_time: 0.0294 memory: 12277 loss_text: 0.0523 loss_kernel: 0.0326 loss_embedding: 0.0126 loss: 0.0975 2022/08/26 17:18:14 - mmengine - INFO - Epoch(train) [235][50/63] lr: 6.4029e-04 eta: 3:33:48 time: 0.6833 data_time: 0.0372 memory: 12277 loss_text: 0.0509 loss_kernel: 0.0332 loss_embedding: 0.0133 loss: 0.0974 2022/08/26 17:18:17 - mmengine - INFO - Epoch(train) [235][55/63] lr: 6.4029e-04 eta: 3:33:48 time: 0.5308 data_time: 0.0329 memory: 12277 loss_text: 0.0519 loss_kernel: 0.0333 loss_embedding: 0.0104 loss: 0.0956 2022/08/26 17:18:20 - mmengine - INFO - Epoch(train) [235][60/63] lr: 6.4029e-04 eta: 3:33:42 time: 0.5299 data_time: 0.0219 memory: 12277 loss_text: 0.0518 loss_kernel: 0.0323 loss_embedding: 0.0093 loss: 0.0934 2022/08/26 17:18:21 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:18:26 - mmengine - INFO - Epoch(train) [236][5/63] lr: 6.3871e-04 eta: 3:33:42 time: 0.7117 data_time: 0.2187 memory: 12277 loss_text: 0.0563 loss_kernel: 0.0337 loss_embedding: 0.0105 loss: 0.1004 2022/08/26 17:18:28 - mmengine - INFO - Epoch(train) [236][10/63] lr: 6.3871e-04 eta: 3:33:35 time: 0.7430 data_time: 0.2287 memory: 12277 loss_text: 0.0556 loss_kernel: 0.0345 loss_embedding: 0.0100 loss: 0.1001 2022/08/26 17:18:31 - mmengine - INFO - Epoch(train) [236][15/63] lr: 6.3871e-04 eta: 3:33:35 time: 0.5569 data_time: 0.0324 memory: 12277 loss_text: 0.0490 loss_kernel: 0.0347 loss_embedding: 0.0099 loss: 0.0936 2022/08/26 17:18:34 - mmengine - INFO - Epoch(train) [236][20/63] lr: 6.3871e-04 eta: 3:33:30 time: 0.5432 data_time: 0.0279 memory: 12277 loss_text: 0.0493 loss_kernel: 0.0350 loss_embedding: 0.0103 loss: 0.0946 2022/08/26 17:18:36 - mmengine - INFO - Epoch(train) [236][25/63] lr: 6.3871e-04 eta: 3:33:30 time: 0.5149 data_time: 0.0298 memory: 12277 loss_text: 0.0534 loss_kernel: 0.0323 loss_embedding: 0.0099 loss: 0.0956 2022/08/26 17:18:39 - mmengine - INFO - Epoch(train) [236][30/63] lr: 6.3871e-04 eta: 3:33:24 time: 0.5341 data_time: 0.0345 memory: 12277 loss_text: 0.0583 loss_kernel: 0.0341 loss_embedding: 0.0111 loss: 0.1035 2022/08/26 17:18:42 - mmengine - INFO - Epoch(train) [236][35/63] lr: 6.3871e-04 eta: 3:33:24 time: 0.5413 data_time: 0.0318 memory: 12277 loss_text: 0.0535 loss_kernel: 0.0350 loss_embedding: 0.0138 loss: 0.1022 2022/08/26 17:18:45 - mmengine - INFO - Epoch(train) [236][40/63] lr: 6.3871e-04 eta: 3:33:18 time: 0.5378 data_time: 0.0262 memory: 12277 loss_text: 0.0608 loss_kernel: 0.0380 loss_embedding: 0.0133 loss: 0.1120 2022/08/26 17:18:47 - mmengine - INFO - Epoch(train) [236][45/63] lr: 6.3871e-04 eta: 3:33:18 time: 0.5329 data_time: 0.0258 memory: 12277 loss_text: 0.0632 loss_kernel: 0.0381 loss_embedding: 0.0125 loss: 0.1137 2022/08/26 17:18:50 - mmengine - INFO - Epoch(train) [236][50/63] lr: 6.3871e-04 eta: 3:33:13 time: 0.5706 data_time: 0.0346 memory: 12277 loss_text: 0.0620 loss_kernel: 0.0338 loss_embedding: 0.0121 loss: 0.1079 2022/08/26 17:18:53 - mmengine - INFO - Epoch(train) [236][55/63] lr: 6.3871e-04 eta: 3:33:13 time: 0.5600 data_time: 0.0330 memory: 12277 loss_text: 0.0608 loss_kernel: 0.0352 loss_embedding: 0.0101 loss: 0.1061 2022/08/26 17:18:56 - mmengine - INFO - Epoch(train) [236][60/63] lr: 6.3871e-04 eta: 3:33:07 time: 0.5311 data_time: 0.0225 memory: 12277 loss_text: 0.0567 loss_kernel: 0.0361 loss_embedding: 0.0109 loss: 0.1037 2022/08/26 17:18:57 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:19:01 - mmengine - INFO - Epoch(train) [237][5/63] lr: 6.3714e-04 eta: 3:33:07 time: 0.6685 data_time: 0.1881 memory: 12277 loss_text: 0.0703 loss_kernel: 0.0375 loss_embedding: 0.0119 loss: 0.1197 2022/08/26 17:19:04 - mmengine - INFO - Epoch(train) [237][10/63] lr: 6.3714e-04 eta: 3:32:59 time: 0.6791 data_time: 0.1906 memory: 12277 loss_text: 0.0691 loss_kernel: 0.0379 loss_embedding: 0.0117 loss: 0.1187 2022/08/26 17:19:07 - mmengine - INFO - Epoch(train) [237][15/63] lr: 6.3714e-04 eta: 3:32:59 time: 0.5731 data_time: 0.0253 memory: 12277 loss_text: 0.0615 loss_kernel: 0.0366 loss_embedding: 0.0121 loss: 0.1102 2022/08/26 17:19:10 - mmengine - INFO - Epoch(train) [237][20/63] lr: 6.3714e-04 eta: 3:32:54 time: 0.6251 data_time: 0.0271 memory: 12277 loss_text: 0.0624 loss_kernel: 0.0351 loss_embedding: 0.0147 loss: 0.1123 2022/08/26 17:19:13 - mmengine - INFO - Epoch(train) [237][25/63] lr: 6.3714e-04 eta: 3:32:54 time: 0.5565 data_time: 0.0267 memory: 12277 loss_text: 0.0606 loss_kernel: 0.0340 loss_embedding: 0.0140 loss: 0.1086 2022/08/26 17:19:15 - mmengine - INFO - Epoch(train) [237][30/63] lr: 6.3714e-04 eta: 3:32:48 time: 0.5279 data_time: 0.0301 memory: 12277 loss_text: 0.0612 loss_kernel: 0.0377 loss_embedding: 0.0116 loss: 0.1105 2022/08/26 17:19:18 - mmengine - INFO - Epoch(train) [237][35/63] lr: 6.3714e-04 eta: 3:32:48 time: 0.5433 data_time: 0.0318 memory: 12277 loss_text: 0.0634 loss_kernel: 0.0396 loss_embedding: 0.0111 loss: 0.1142 2022/08/26 17:19:21 - mmengine - INFO - Epoch(train) [237][40/63] lr: 6.3714e-04 eta: 3:32:43 time: 0.6028 data_time: 0.0303 memory: 12277 loss_text: 0.0602 loss_kernel: 0.0358 loss_embedding: 0.0102 loss: 0.1062 2022/08/26 17:19:24 - mmengine - INFO - Epoch(train) [237][45/63] lr: 6.3714e-04 eta: 3:32:43 time: 0.6038 data_time: 0.0314 memory: 12277 loss_text: 0.0569 loss_kernel: 0.0351 loss_embedding: 0.0117 loss: 0.1037 2022/08/26 17:19:27 - mmengine - INFO - Epoch(train) [237][50/63] lr: 6.3714e-04 eta: 3:32:37 time: 0.5325 data_time: 0.0329 memory: 12277 loss_text: 0.0602 loss_kernel: 0.0391 loss_embedding: 0.0125 loss: 0.1118 2022/08/26 17:19:29 - mmengine - INFO - Epoch(train) [237][55/63] lr: 6.3714e-04 eta: 3:32:37 time: 0.5361 data_time: 0.0276 memory: 12277 loss_text: 0.0615 loss_kernel: 0.0364 loss_embedding: 0.0134 loss: 0.1113 2022/08/26 17:19:32 - mmengine - INFO - Epoch(train) [237][60/63] lr: 6.3714e-04 eta: 3:32:31 time: 0.5472 data_time: 0.0204 memory: 12277 loss_text: 0.0518 loss_kernel: 0.0325 loss_embedding: 0.0126 loss: 0.0969 2022/08/26 17:19:34 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:19:38 - mmengine - INFO - Epoch(train) [238][5/63] lr: 6.3556e-04 eta: 3:32:31 time: 0.6931 data_time: 0.1883 memory: 12277 loss_text: 0.0610 loss_kernel: 0.0365 loss_embedding: 0.0121 loss: 0.1096 2022/08/26 17:19:41 - mmengine - INFO - Epoch(train) [238][10/63] lr: 6.3556e-04 eta: 3:32:25 time: 0.7773 data_time: 0.2591 memory: 12277 loss_text: 0.0554 loss_kernel: 0.0320 loss_embedding: 0.0121 loss: 0.0995 2022/08/26 17:19:44 - mmengine - INFO - Epoch(train) [238][15/63] lr: 6.3556e-04 eta: 3:32:25 time: 0.6029 data_time: 0.0938 memory: 12277 loss_text: 0.0643 loss_kernel: 0.0370 loss_embedding: 0.0112 loss: 0.1125 2022/08/26 17:19:47 - mmengine - INFO - Epoch(train) [238][20/63] lr: 6.3556e-04 eta: 3:32:19 time: 0.5167 data_time: 0.0258 memory: 12277 loss_text: 0.0658 loss_kernel: 0.0402 loss_embedding: 0.0117 loss: 0.1177 2022/08/26 17:19:50 - mmengine - INFO - Epoch(train) [238][25/63] lr: 6.3556e-04 eta: 3:32:19 time: 0.5861 data_time: 0.0235 memory: 12277 loss_text: 0.0620 loss_kernel: 0.0356 loss_embedding: 0.0131 loss: 0.1106 2022/08/26 17:19:53 - mmengine - INFO - Epoch(train) [238][30/63] lr: 6.3556e-04 eta: 3:32:14 time: 0.5949 data_time: 0.0305 memory: 12277 loss_text: 0.0702 loss_kernel: 0.0356 loss_embedding: 0.0128 loss: 0.1187 2022/08/26 17:19:55 - mmengine - INFO - Epoch(train) [238][35/63] lr: 6.3556e-04 eta: 3:32:14 time: 0.5359 data_time: 0.0323 memory: 12277 loss_text: 0.0764 loss_kernel: 0.0403 loss_embedding: 0.0130 loss: 0.1297 2022/08/26 17:19:58 - mmengine - INFO - Epoch(train) [238][40/63] lr: 6.3556e-04 eta: 3:32:08 time: 0.5389 data_time: 0.0372 memory: 12277 loss_text: 0.0655 loss_kernel: 0.0394 loss_embedding: 0.0129 loss: 0.1178 2022/08/26 17:20:01 - mmengine - INFO - Epoch(train) [238][45/63] lr: 6.3556e-04 eta: 3:32:08 time: 0.5700 data_time: 0.0360 memory: 12277 loss_text: 0.0641 loss_kernel: 0.0412 loss_embedding: 0.0138 loss: 0.1191 2022/08/26 17:20:04 - mmengine - INFO - Epoch(train) [238][50/63] lr: 6.3556e-04 eta: 3:32:02 time: 0.5617 data_time: 0.0281 memory: 12277 loss_text: 0.0778 loss_kernel: 0.0409 loss_embedding: 0.0135 loss: 0.1322 2022/08/26 17:20:06 - mmengine - INFO - Epoch(train) [238][55/63] lr: 6.3556e-04 eta: 3:32:02 time: 0.5442 data_time: 0.0313 memory: 12277 loss_text: 0.0682 loss_kernel: 0.0347 loss_embedding: 0.0116 loss: 0.1144 2022/08/26 17:20:09 - mmengine - INFO - Epoch(train) [238][60/63] lr: 6.3556e-04 eta: 3:31:57 time: 0.5629 data_time: 0.0280 memory: 12277 loss_text: 0.0535 loss_kernel: 0.0328 loss_embedding: 0.0115 loss: 0.0978 2022/08/26 17:20:11 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:20:15 - mmengine - INFO - Epoch(train) [239][5/63] lr: 6.3398e-04 eta: 3:31:57 time: 0.6890 data_time: 0.1621 memory: 12277 loss_text: 0.0475 loss_kernel: 0.0328 loss_embedding: 0.0093 loss: 0.0896 2022/08/26 17:20:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:20:18 - mmengine - INFO - Epoch(train) [239][10/63] lr: 6.3398e-04 eta: 3:31:49 time: 0.6780 data_time: 0.1651 memory: 12277 loss_text: 0.0513 loss_kernel: 0.0352 loss_embedding: 0.0098 loss: 0.0964 2022/08/26 17:20:20 - mmengine - INFO - Epoch(train) [239][15/63] lr: 6.3398e-04 eta: 3:31:49 time: 0.5316 data_time: 0.0365 memory: 12277 loss_text: 0.0641 loss_kernel: 0.0399 loss_embedding: 0.0120 loss: 0.1161 2022/08/26 17:20:23 - mmengine - INFO - Epoch(train) [239][20/63] lr: 6.3398e-04 eta: 3:31:43 time: 0.5157 data_time: 0.0284 memory: 12277 loss_text: 0.0578 loss_kernel: 0.0375 loss_embedding: 0.0107 loss: 0.1060 2022/08/26 17:20:25 - mmengine - INFO - Epoch(train) [239][25/63] lr: 6.3398e-04 eta: 3:31:43 time: 0.5111 data_time: 0.0247 memory: 12277 loss_text: 0.0600 loss_kernel: 0.0365 loss_embedding: 0.0115 loss: 0.1079 2022/08/26 17:20:28 - mmengine - INFO - Epoch(train) [239][30/63] lr: 6.3398e-04 eta: 3:31:37 time: 0.5221 data_time: 0.0323 memory: 12277 loss_text: 0.0634 loss_kernel: 0.0369 loss_embedding: 0.0115 loss: 0.1119 2022/08/26 17:20:32 - mmengine - INFO - Epoch(train) [239][35/63] lr: 6.3398e-04 eta: 3:31:37 time: 0.6666 data_time: 0.0322 memory: 12277 loss_text: 0.0633 loss_kernel: 0.0382 loss_embedding: 0.0114 loss: 0.1130 2022/08/26 17:20:35 - mmengine - INFO - Epoch(train) [239][40/63] lr: 6.3398e-04 eta: 3:31:33 time: 0.6828 data_time: 0.0291 memory: 12277 loss_text: 0.0724 loss_kernel: 0.0427 loss_embedding: 0.0130 loss: 0.1282 2022/08/26 17:20:37 - mmengine - INFO - Epoch(train) [239][45/63] lr: 6.3398e-04 eta: 3:31:33 time: 0.5539 data_time: 0.0298 memory: 12277 loss_text: 0.0647 loss_kernel: 0.0398 loss_embedding: 0.0117 loss: 0.1162 2022/08/26 17:20:40 - mmengine - INFO - Epoch(train) [239][50/63] lr: 6.3398e-04 eta: 3:31:27 time: 0.5565 data_time: 0.0344 memory: 12277 loss_text: 0.0715 loss_kernel: 0.0428 loss_embedding: 0.0113 loss: 0.1256 2022/08/26 17:20:43 - mmengine - INFO - Epoch(train) [239][55/63] lr: 6.3398e-04 eta: 3:31:27 time: 0.5562 data_time: 0.0323 memory: 12277 loss_text: 0.0742 loss_kernel: 0.0441 loss_embedding: 0.0121 loss: 0.1304 2022/08/26 17:20:46 - mmengine - INFO - Epoch(train) [239][60/63] lr: 6.3398e-04 eta: 3:31:22 time: 0.5414 data_time: 0.0243 memory: 12277 loss_text: 0.0593 loss_kernel: 0.0365 loss_embedding: 0.0113 loss: 0.1071 2022/08/26 17:20:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:20:52 - mmengine - INFO - Epoch(train) [240][5/63] lr: 6.3239e-04 eta: 3:31:22 time: 0.6915 data_time: 0.1727 memory: 12277 loss_text: 0.0514 loss_kernel: 0.0334 loss_embedding: 0.0121 loss: 0.0969 2022/08/26 17:20:54 - mmengine - INFO - Epoch(train) [240][10/63] lr: 6.3239e-04 eta: 3:31:15 time: 0.7392 data_time: 0.1787 memory: 12277 loss_text: 0.0522 loss_kernel: 0.0342 loss_embedding: 0.0111 loss: 0.0974 2022/08/26 17:20:57 - mmengine - INFO - Epoch(train) [240][15/63] lr: 6.3239e-04 eta: 3:31:15 time: 0.5277 data_time: 0.0279 memory: 12277 loss_text: 0.0506 loss_kernel: 0.0363 loss_embedding: 0.0098 loss: 0.0967 2022/08/26 17:21:00 - mmengine - INFO - Epoch(train) [240][20/63] lr: 6.3239e-04 eta: 3:31:09 time: 0.5437 data_time: 0.0281 memory: 12277 loss_text: 0.0491 loss_kernel: 0.0364 loss_embedding: 0.0107 loss: 0.0962 2022/08/26 17:21:03 - mmengine - INFO - Epoch(train) [240][25/63] lr: 6.3239e-04 eta: 3:31:09 time: 0.5627 data_time: 0.0397 memory: 12277 loss_text: 0.0551 loss_kernel: 0.0354 loss_embedding: 0.0099 loss: 0.1004 2022/08/26 17:21:05 - mmengine - INFO - Epoch(train) [240][30/63] lr: 6.3239e-04 eta: 3:31:03 time: 0.5516 data_time: 0.0389 memory: 12277 loss_text: 0.0555 loss_kernel: 0.0356 loss_embedding: 0.0098 loss: 0.1010 2022/08/26 17:21:08 - mmengine - INFO - Epoch(train) [240][35/63] lr: 6.3239e-04 eta: 3:31:03 time: 0.5465 data_time: 0.0310 memory: 12277 loss_text: 0.0470 loss_kernel: 0.0333 loss_embedding: 0.0103 loss: 0.0906 2022/08/26 17:21:11 - mmengine - INFO - Epoch(train) [240][40/63] lr: 6.3239e-04 eta: 3:30:58 time: 0.5977 data_time: 0.0244 memory: 12277 loss_text: 0.0513 loss_kernel: 0.0365 loss_embedding: 0.0112 loss: 0.0990 2022/08/26 17:21:14 - mmengine - INFO - Epoch(train) [240][45/63] lr: 6.3239e-04 eta: 3:30:58 time: 0.5961 data_time: 0.0249 memory: 12277 loss_text: 0.0543 loss_kernel: 0.0354 loss_embedding: 0.0127 loss: 0.1024 2022/08/26 17:21:17 - mmengine - INFO - Epoch(train) [240][50/63] lr: 6.3239e-04 eta: 3:30:52 time: 0.5230 data_time: 0.0318 memory: 12277 loss_text: 0.0499 loss_kernel: 0.0319 loss_embedding: 0.0114 loss: 0.0932 2022/08/26 17:21:19 - mmengine - INFO - Epoch(train) [240][55/63] lr: 6.3239e-04 eta: 3:30:52 time: 0.5429 data_time: 0.0297 memory: 12277 loss_text: 0.0477 loss_kernel: 0.0320 loss_embedding: 0.0104 loss: 0.0901 2022/08/26 17:21:22 - mmengine - INFO - Epoch(train) [240][60/63] lr: 6.3239e-04 eta: 3:30:46 time: 0.5385 data_time: 0.0256 memory: 12277 loss_text: 0.0571 loss_kernel: 0.0366 loss_embedding: 0.0102 loss: 0.1038 2022/08/26 17:21:23 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:21:23 - mmengine - INFO - Saving checkpoint at 240 epochs 2022/08/26 17:21:27 - mmengine - INFO - Epoch(val) [240][5/500] eta: 3:30:46 time: 0.0325 data_time: 0.0060 memory: 12277 2022/08/26 17:21:27 - mmengine - INFO - Epoch(val) [240][10/500] eta: 0:00:28 time: 0.0584 data_time: 0.0297 memory: 497 2022/08/26 17:21:27 - mmengine - INFO - Epoch(val) [240][15/500] eta: 0:00:28 time: 0.0506 data_time: 0.0254 memory: 539 2022/08/26 17:21:27 - mmengine - INFO - Epoch(val) [240][20/500] eta: 0:00:11 time: 0.0248 data_time: 0.0015 memory: 497 2022/08/26 17:21:28 - mmengine - INFO - Epoch(val) [240][25/500] eta: 0:00:11 time: 0.0226 data_time: 0.0020 memory: 505 2022/08/26 17:21:28 - mmengine - INFO - Epoch(val) [240][30/500] eta: 0:00:09 time: 0.0208 data_time: 0.0020 memory: 516 2022/08/26 17:21:28 - mmengine - INFO - Epoch(val) [240][35/500] eta: 0:00:09 time: 0.0224 data_time: 0.0020 memory: 497 2022/08/26 17:21:28 - mmengine - INFO - Epoch(val) [240][40/500] eta: 0:00:10 time: 0.0227 data_time: 0.0021 memory: 497 2022/08/26 17:21:28 - mmengine - INFO - Epoch(val) [240][45/500] eta: 0:00:10 time: 0.0195 data_time: 0.0020 memory: 480 2022/08/26 17:21:28 - mmengine - INFO - Epoch(val) [240][50/500] eta: 0:00:09 time: 0.0207 data_time: 0.0019 memory: 539 2022/08/26 17:21:28 - mmengine - INFO - Epoch(val) [240][55/500] eta: 0:00:09 time: 0.0226 data_time: 0.0020 memory: 561 2022/08/26 17:21:28 - mmengine - INFO - Epoch(val) [240][60/500] eta: 0:00:09 time: 0.0222 data_time: 0.0019 memory: 497 2022/08/26 17:21:28 - mmengine - INFO - Epoch(val) [240][65/500] eta: 0:00:09 time: 0.0231 data_time: 0.0020 memory: 597 2022/08/26 17:21:29 - mmengine - INFO - Epoch(val) [240][70/500] eta: 0:00:09 time: 0.0216 data_time: 0.0020 memory: 497 2022/08/26 17:21:29 - mmengine - INFO - Epoch(val) [240][75/500] eta: 0:00:09 time: 0.0234 data_time: 0.0020 memory: 556 2022/08/26 17:21:29 - mmengine - INFO - Epoch(val) [240][80/500] eta: 0:00:09 time: 0.0234 data_time: 0.0021 memory: 497 2022/08/26 17:21:29 - mmengine - INFO - Epoch(val) [240][85/500] eta: 0:00:09 time: 0.0221 data_time: 0.0020 memory: 564 2022/08/26 17:21:29 - mmengine - INFO - Epoch(val) [240][90/500] eta: 0:00:12 time: 0.0315 data_time: 0.0037 memory: 522 2022/08/26 17:21:29 - mmengine - INFO - Epoch(val) [240][95/500] eta: 0:00:12 time: 0.0339 data_time: 0.0040 memory: 756 2022/08/26 17:21:29 - mmengine - INFO - Epoch(val) [240][100/500] eta: 0:00:10 time: 0.0250 data_time: 0.0023 memory: 572 2022/08/26 17:21:29 - mmengine - INFO - Epoch(val) [240][105/500] eta: 0:00:10 time: 0.0235 data_time: 0.0021 memory: 539 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [240][110/500] eta: 0:00:08 time: 0.0229 data_time: 0.0021 memory: 497 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [240][115/500] eta: 0:00:08 time: 0.0215 data_time: 0.0022 memory: 497 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [240][120/500] eta: 0:00:10 time: 0.0264 data_time: 0.0021 memory: 530 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [240][125/500] eta: 0:00:10 time: 0.0282 data_time: 0.0020 memory: 497 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [240][130/500] eta: 0:00:08 time: 0.0242 data_time: 0.0021 memory: 539 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [240][135/500] eta: 0:00:08 time: 0.0226 data_time: 0.0021 memory: 497 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [240][140/500] eta: 0:00:08 time: 0.0225 data_time: 0.0019 memory: 480 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [240][145/500] eta: 0:00:08 time: 0.0207 data_time: 0.0017 memory: 751 2022/08/26 17:21:30 - mmengine - INFO - Epoch(val) [240][150/500] eta: 0:00:07 time: 0.0208 data_time: 0.0018 memory: 464 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [240][155/500] eta: 0:00:07 time: 0.0206 data_time: 0.0017 memory: 516 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [240][160/500] eta: 0:00:06 time: 0.0193 data_time: 0.0015 memory: 539 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [240][165/500] eta: 0:00:06 time: 0.0185 data_time: 0.0015 memory: 497 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [240][170/500] eta: 0:00:06 time: 0.0192 data_time: 0.0015 memory: 514 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [240][175/500] eta: 0:00:06 time: 0.0180 data_time: 0.0015 memory: 539 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [240][180/500] eta: 0:00:05 time: 0.0169 data_time: 0.0015 memory: 539 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [240][185/500] eta: 0:00:05 time: 0.0174 data_time: 0.0015 memory: 489 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [240][190/500] eta: 0:00:05 time: 0.0185 data_time: 0.0015 memory: 516 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [240][195/500] eta: 0:00:05 time: 0.0196 data_time: 0.0016 memory: 516 2022/08/26 17:21:31 - mmengine - INFO - Epoch(val) [240][200/500] eta: 0:00:05 time: 0.0197 data_time: 0.0016 memory: 516 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [240][205/500] eta: 0:00:05 time: 0.0228 data_time: 0.0017 memory: 664 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [240][210/500] eta: 0:00:06 time: 0.0241 data_time: 0.0019 memory: 497 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [240][215/500] eta: 0:00:06 time: 0.0227 data_time: 0.0023 memory: 514 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [240][220/500] eta: 0:00:06 time: 0.0218 data_time: 0.0024 memory: 572 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [240][225/500] eta: 0:00:06 time: 0.0262 data_time: 0.0082 memory: 497 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [240][230/500] eta: 0:00:08 time: 0.0333 data_time: 0.0076 memory: 507 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [240][235/500] eta: 0:00:08 time: 0.0272 data_time: 0.0012 memory: 497 2022/08/26 17:21:32 - mmengine - INFO - Epoch(val) [240][240/500] eta: 0:00:05 time: 0.0194 data_time: 0.0015 memory: 497 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [240][245/500] eta: 0:00:05 time: 0.0196 data_time: 0.0015 memory: 648 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [240][250/500] eta: 0:00:04 time: 0.0193 data_time: 0.0015 memory: 497 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [240][255/500] eta: 0:00:04 time: 0.0336 data_time: 0.0016 memory: 543 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [240][260/500] eta: 0:00:07 time: 0.0324 data_time: 0.0017 memory: 516 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [240][265/500] eta: 0:00:07 time: 0.0191 data_time: 0.0016 memory: 622 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [240][270/500] eta: 0:00:04 time: 0.0200 data_time: 0.0015 memory: 505 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [240][275/500] eta: 0:00:04 time: 0.0221 data_time: 0.0016 memory: 539 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [240][280/500] eta: 0:00:04 time: 0.0209 data_time: 0.0017 memory: 473 2022/08/26 17:21:33 - mmengine - INFO - Epoch(val) [240][285/500] eta: 0:00:04 time: 0.0184 data_time: 0.0019 memory: 481 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [240][290/500] eta: 0:00:04 time: 0.0227 data_time: 0.0019 memory: 464 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [240][295/500] eta: 0:00:04 time: 0.0242 data_time: 0.0018 memory: 489 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [240][300/500] eta: 0:00:04 time: 0.0230 data_time: 0.0018 memory: 497 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [240][305/500] eta: 0:00:04 time: 0.0207 data_time: 0.0020 memory: 597 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [240][310/500] eta: 0:00:04 time: 0.0236 data_time: 0.0022 memory: 606 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [240][315/500] eta: 0:00:04 time: 0.0244 data_time: 0.0021 memory: 539 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [240][320/500] eta: 0:00:04 time: 0.0228 data_time: 0.0020 memory: 499 2022/08/26 17:21:34 - mmengine - INFO - Epoch(val) [240][325/500] eta: 0:00:04 time: 0.0249 data_time: 0.0023 memory: 497 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) [240][330/500] eta: 0:00:04 time: 0.0268 data_time: 0.0025 memory: 497 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) [240][335/500] eta: 0:00:04 time: 0.0264 data_time: 0.0024 memory: 497 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) [240][340/500] eta: 0:00:03 time: 0.0247 data_time: 0.0022 memory: 522 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) [240][345/500] eta: 0:00:03 time: 0.0259 data_time: 0.0021 memory: 572 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) [240][350/500] eta: 0:00:03 time: 0.0263 data_time: 0.0021 memory: 499 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) [240][355/500] eta: 0:00:03 time: 0.0266 data_time: 0.0021 memory: 525 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) [240][360/500] eta: 0:00:03 time: 0.0261 data_time: 0.0022 memory: 525 2022/08/26 17:21:35 - mmengine - INFO - Epoch(val) [240][365/500] eta: 0:00:03 time: 0.0262 data_time: 0.0023 memory: 707 2022/08/26 17:21:36 - mmengine - INFO - Epoch(val) [240][370/500] eta: 0:00:02 time: 0.0218 data_time: 0.0019 memory: 539 2022/08/26 17:21:36 - mmengine - INFO - Epoch(val) [240][375/500] eta: 0:00:02 time: 0.0177 data_time: 0.0017 memory: 765 2022/08/26 17:21:36 - mmengine - INFO - Epoch(val) [240][380/500] eta: 0:00:03 time: 0.0250 data_time: 0.0021 memory: 572 2022/08/26 17:21:36 - mmengine - INFO - Epoch(val) [240][385/500] eta: 0:00:03 time: 0.0241 data_time: 0.0028 memory: 497 2022/08/26 17:21:36 - mmengine - INFO - Epoch(val) [240][390/500] eta: 0:00:02 time: 0.0196 data_time: 0.0026 memory: 539 2022/08/26 17:21:36 - mmengine - INFO - Epoch(val) [240][395/500] eta: 0:00:02 time: 0.0275 data_time: 0.0019 memory: 489 2022/08/26 17:21:36 - mmengine - INFO - Epoch(val) [240][400/500] eta: 0:00:02 time: 0.0278 data_time: 0.0019 memory: 497 2022/08/26 17:21:36 - mmengine - INFO - Epoch(val) [240][405/500] eta: 0:00:02 time: 0.0266 data_time: 0.0020 memory: 497 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [240][410/500] eta: 0:00:02 time: 0.0272 data_time: 0.0021 memory: 497 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [240][415/500] eta: 0:00:02 time: 0.0249 data_time: 0.0034 memory: 497 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [240][420/500] eta: 0:00:02 time: 0.0277 data_time: 0.0043 memory: 497 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [240][425/500] eta: 0:00:02 time: 0.0251 data_time: 0.0029 memory: 489 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [240][430/500] eta: 0:00:01 time: 0.0214 data_time: 0.0020 memory: 516 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [240][435/500] eta: 0:00:01 time: 0.0244 data_time: 0.0021 memory: 681 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [240][440/500] eta: 0:00:01 time: 0.0267 data_time: 0.0020 memory: 539 2022/08/26 17:21:37 - mmengine - INFO - Epoch(val) [240][445/500] eta: 0:00:01 time: 0.0241 data_time: 0.0020 memory: 489 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [240][450/500] eta: 0:00:01 time: 0.0247 data_time: 0.0020 memory: 507 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [240][455/500] eta: 0:00:01 time: 0.0247 data_time: 0.0021 memory: 606 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [240][460/500] eta: 0:00:00 time: 0.0248 data_time: 0.0020 memory: 499 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [240][465/500] eta: 0:00:00 time: 0.0265 data_time: 0.0022 memory: 539 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [240][470/500] eta: 0:00:00 time: 0.0228 data_time: 0.0021 memory: 516 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [240][475/500] eta: 0:00:00 time: 0.0206 data_time: 0.0020 memory: 507 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [240][480/500] eta: 0:00:00 time: 0.0204 data_time: 0.0021 memory: 464 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [240][485/500] eta: 0:00:00 time: 0.0213 data_time: 0.0021 memory: 497 2022/08/26 17:21:38 - mmengine - INFO - Epoch(val) [240][490/500] eta: 0:00:00 time: 0.0270 data_time: 0.0021 memory: 497 2022/08/26 17:21:39 - mmengine - INFO - Epoch(val) [240][495/500] eta: 0:00:00 time: 0.0251 data_time: 0.0021 memory: 480 2022/08/26 17:21:39 - mmengine - INFO - Epoch(val) [240][500/500] eta: 0:00:00 time: 0.0192 data_time: 0.0020 memory: 522 2022/08/26 17:21:39 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 17:21:39 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7590, precision: 0.6871, hmean: 0.7213 2022/08/26 17:21:39 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7590, precision: 0.6871, hmean: 0.7213 2022/08/26 17:21:39 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7590, precision: 0.6871, hmean: 0.7213 2022/08/26 17:21:39 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7590, precision: 0.6871, hmean: 0.7213 2022/08/26 17:21:39 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7590, precision: 0.6871, hmean: 0.7213 2022/08/26 17:21:39 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7590, precision: 0.6883, hmean: 0.7219 2022/08/26 17:21:39 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7590, precision: 0.7026, hmean: 0.7297 2022/08/26 17:21:39 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7587, precision: 0.7205, hmean: 0.7391 2022/08/26 17:21:39 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7571, precision: 0.7383, hmean: 0.7476 2022/08/26 17:21:39 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7548, precision: 0.7622, hmean: 0.7585 2022/08/26 17:21:39 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7515, precision: 0.7826, hmean: 0.7668 2022/08/26 17:21:39 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7385, precision: 0.8011, hmean: 0.7685 2022/08/26 17:21:39 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7073, precision: 0.8270, hmean: 0.7625 2022/08/26 17:21:39 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.4846, precision: 0.8698, hmean: 0.6224 2022/08/26 17:21:39 - mmengine - INFO - Epoch(val) [240][500/500] icdar/precision: 0.8011 icdar/recall: 0.7385 icdar/hmean: 0.7685 2022/08/26 17:21:43 - mmengine - INFO - Epoch(train) [241][5/63] lr: 6.3081e-04 eta: 0:00:00 time: 0.6769 data_time: 0.1714 memory: 12277 loss_text: 0.0579 loss_kernel: 0.0380 loss_embedding: 0.0110 loss: 0.1069 2022/08/26 17:21:46 - mmengine - INFO - Epoch(train) [241][10/63] lr: 6.3081e-04 eta: 3:30:39 time: 0.7497 data_time: 0.2159 memory: 12277 loss_text: 0.0571 loss_kernel: 0.0369 loss_embedding: 0.0115 loss: 0.1055 2022/08/26 17:21:49 - mmengine - INFO - Epoch(train) [241][15/63] lr: 6.3081e-04 eta: 3:30:39 time: 0.5908 data_time: 0.0673 memory: 12277 loss_text: 0.0565 loss_kernel: 0.0350 loss_embedding: 0.0111 loss: 0.1026 2022/08/26 17:21:52 - mmengine - INFO - Epoch(train) [241][20/63] lr: 6.3081e-04 eta: 3:30:34 time: 0.5733 data_time: 0.0312 memory: 12277 loss_text: 0.0443 loss_kernel: 0.0305 loss_embedding: 0.0102 loss: 0.0850 2022/08/26 17:21:55 - mmengine - INFO - Epoch(train) [241][25/63] lr: 6.3081e-04 eta: 3:30:34 time: 0.5898 data_time: 0.0354 memory: 12277 loss_text: 0.0596 loss_kernel: 0.0408 loss_embedding: 0.0108 loss: 0.1112 2022/08/26 17:21:58 - mmengine - INFO - Epoch(train) [241][30/63] lr: 6.3081e-04 eta: 3:30:28 time: 0.5565 data_time: 0.0288 memory: 12277 loss_text: 0.0568 loss_kernel: 0.0388 loss_embedding: 0.0133 loss: 0.1089 2022/08/26 17:22:00 - mmengine - INFO - Epoch(train) [241][35/63] lr: 6.3081e-04 eta: 3:30:28 time: 0.5416 data_time: 0.0282 memory: 12277 loss_text: 0.0492 loss_kernel: 0.0327 loss_embedding: 0.0138 loss: 0.0958 2022/08/26 17:22:04 - mmengine - INFO - Epoch(train) [241][40/63] lr: 6.3081e-04 eta: 3:30:23 time: 0.5911 data_time: 0.0302 memory: 12277 loss_text: 0.0541 loss_kernel: 0.0389 loss_embedding: 0.0117 loss: 0.1047 2022/08/26 17:22:07 - mmengine - INFO - Epoch(train) [241][45/63] lr: 6.3081e-04 eta: 3:30:23 time: 0.6168 data_time: 0.0288 memory: 12277 loss_text: 0.0549 loss_kernel: 0.0379 loss_embedding: 0.0105 loss: 0.1033 2022/08/26 17:22:09 - mmengine - INFO - Epoch(train) [241][50/63] lr: 6.3081e-04 eta: 3:30:18 time: 0.5599 data_time: 0.0266 memory: 12277 loss_text: 0.0519 loss_kernel: 0.0323 loss_embedding: 0.0087 loss: 0.0929 2022/08/26 17:22:12 - mmengine - INFO - Epoch(train) [241][55/63] lr: 6.3081e-04 eta: 3:30:18 time: 0.5519 data_time: 0.0267 memory: 12277 loss_text: 0.0565 loss_kernel: 0.0351 loss_embedding: 0.0105 loss: 0.1021 2022/08/26 17:22:15 - mmengine - INFO - Epoch(train) [241][60/63] lr: 6.3081e-04 eta: 3:30:12 time: 0.5525 data_time: 0.0336 memory: 12277 loss_text: 0.0609 loss_kernel: 0.0366 loss_embedding: 0.0117 loss: 0.1092 2022/08/26 17:22:16 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:22:21 - mmengine - INFO - Epoch(train) [242][5/63] lr: 6.2923e-04 eta: 3:30:12 time: 0.6897 data_time: 0.1970 memory: 12277 loss_text: 0.0546 loss_kernel: 0.0349 loss_embedding: 0.0111 loss: 0.1006 2022/08/26 17:22:23 - mmengine - INFO - Epoch(train) [242][10/63] lr: 6.2923e-04 eta: 3:30:05 time: 0.7335 data_time: 0.2237 memory: 12277 loss_text: 0.0564 loss_kernel: 0.0337 loss_embedding: 0.0109 loss: 0.1009 2022/08/26 17:22:26 - mmengine - INFO - Epoch(train) [242][15/63] lr: 6.2923e-04 eta: 3:30:05 time: 0.5529 data_time: 0.0552 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0339 loss_embedding: 0.0109 loss: 0.1014 2022/08/26 17:22:29 - mmengine - INFO - Epoch(train) [242][20/63] lr: 6.2923e-04 eta: 3:29:59 time: 0.5183 data_time: 0.0294 memory: 12277 loss_text: 0.0567 loss_kernel: 0.0331 loss_embedding: 0.0114 loss: 0.1012 2022/08/26 17:22:32 - mmengine - INFO - Epoch(train) [242][25/63] lr: 6.2923e-04 eta: 3:29:59 time: 0.5445 data_time: 0.0282 memory: 12277 loss_text: 0.0690 loss_kernel: 0.0396 loss_embedding: 0.0125 loss: 0.1211 2022/08/26 17:22:34 - mmengine - INFO - Epoch(train) [242][30/63] lr: 6.2923e-04 eta: 3:29:53 time: 0.5558 data_time: 0.0290 memory: 12277 loss_text: 0.0775 loss_kernel: 0.0478 loss_embedding: 0.0124 loss: 0.1378 2022/08/26 17:22:37 - mmengine - INFO - Epoch(train) [242][35/63] lr: 6.2923e-04 eta: 3:29:53 time: 0.5511 data_time: 0.0388 memory: 12277 loss_text: 0.0679 loss_kernel: 0.0440 loss_embedding: 0.0117 loss: 0.1236 2022/08/26 17:22:40 - mmengine - INFO - Epoch(train) [242][40/63] lr: 6.2923e-04 eta: 3:29:47 time: 0.5412 data_time: 0.0405 memory: 12277 loss_text: 0.0568 loss_kernel: 0.0357 loss_embedding: 0.0127 loss: 0.1052 2022/08/26 17:22:42 - mmengine - INFO - Epoch(train) [242][45/63] lr: 6.2923e-04 eta: 3:29:47 time: 0.5197 data_time: 0.0312 memory: 12277 loss_text: 0.0821 loss_kernel: 0.0455 loss_embedding: 0.0140 loss: 0.1416 2022/08/26 17:22:45 - mmengine - INFO - Epoch(train) [242][50/63] lr: 6.2923e-04 eta: 3:29:41 time: 0.5241 data_time: 0.0333 memory: 12277 loss_text: 0.0916 loss_kernel: 0.0498 loss_embedding: 0.0134 loss: 0.1548 2022/08/26 17:22:48 - mmengine - INFO - Epoch(train) [242][55/63] lr: 6.2923e-04 eta: 3:29:41 time: 0.5262 data_time: 0.0326 memory: 12277 loss_text: 0.0701 loss_kernel: 0.0415 loss_embedding: 0.0113 loss: 0.1229 2022/08/26 17:22:50 - mmengine - INFO - Epoch(train) [242][60/63] lr: 6.2923e-04 eta: 3:29:36 time: 0.5516 data_time: 0.0326 memory: 12277 loss_text: 0.0694 loss_kernel: 0.0410 loss_embedding: 0.0123 loss: 0.1227 2022/08/26 17:22:52 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:22:56 - mmengine - INFO - Epoch(train) [243][5/63] lr: 6.2765e-04 eta: 3:29:36 time: 0.6736 data_time: 0.1693 memory: 12277 loss_text: 0.0553 loss_kernel: 0.0340 loss_embedding: 0.0130 loss: 0.1023 2022/08/26 17:22:59 - mmengine - INFO - Epoch(train) [243][10/63] lr: 6.2765e-04 eta: 3:29:28 time: 0.6908 data_time: 0.1706 memory: 12277 loss_text: 0.0514 loss_kernel: 0.0322 loss_embedding: 0.0133 loss: 0.0969 2022/08/26 17:23:02 - mmengine - INFO - Epoch(train) [243][15/63] lr: 6.2765e-04 eta: 3:29:28 time: 0.5620 data_time: 0.0292 memory: 12277 loss_text: 0.0612 loss_kernel: 0.0400 loss_embedding: 0.0127 loss: 0.1138 2022/08/26 17:23:04 - mmengine - INFO - Epoch(train) [243][20/63] lr: 6.2765e-04 eta: 3:29:22 time: 0.5469 data_time: 0.0261 memory: 12277 loss_text: 0.0698 loss_kernel: 0.0445 loss_embedding: 0.0123 loss: 0.1266 2022/08/26 17:23:07 - mmengine - INFO - Epoch(train) [243][25/63] lr: 6.2765e-04 eta: 3:29:22 time: 0.5325 data_time: 0.0241 memory: 12277 loss_text: 0.0593 loss_kernel: 0.0370 loss_embedding: 0.0133 loss: 0.1097 2022/08/26 17:23:10 - mmengine - INFO - Epoch(train) [243][30/63] lr: 6.2765e-04 eta: 3:29:17 time: 0.5807 data_time: 0.0379 memory: 12277 loss_text: 0.0505 loss_kernel: 0.0333 loss_embedding: 0.0115 loss: 0.0953 2022/08/26 17:23:13 - mmengine - INFO - Epoch(train) [243][35/63] lr: 6.2765e-04 eta: 3:29:17 time: 0.5876 data_time: 0.0374 memory: 12277 loss_text: 0.0612 loss_kernel: 0.0371 loss_embedding: 0.0104 loss: 0.1087 2022/08/26 17:23:15 - mmengine - INFO - Epoch(train) [243][40/63] lr: 6.2765e-04 eta: 3:29:11 time: 0.5382 data_time: 0.0244 memory: 12277 loss_text: 0.0809 loss_kernel: 0.0459 loss_embedding: 0.0099 loss: 0.1367 2022/08/26 17:23:18 - mmengine - INFO - Epoch(train) [243][45/63] lr: 6.2765e-04 eta: 3:29:11 time: 0.5123 data_time: 0.0299 memory: 12277 loss_text: 0.0710 loss_kernel: 0.0427 loss_embedding: 0.0091 loss: 0.1228 2022/08/26 17:23:21 - mmengine - INFO - Epoch(train) [243][50/63] lr: 6.2765e-04 eta: 3:29:05 time: 0.5240 data_time: 0.0371 memory: 12277 loss_text: 0.0577 loss_kernel: 0.0360 loss_embedding: 0.0118 loss: 0.1055 2022/08/26 17:23:24 - mmengine - INFO - Epoch(train) [243][55/63] lr: 6.2765e-04 eta: 3:29:05 time: 0.5796 data_time: 0.0396 memory: 12277 loss_text: 0.0544 loss_kernel: 0.0359 loss_embedding: 0.0108 loss: 0.1011 2022/08/26 17:23:26 - mmengine - INFO - Epoch(train) [243][60/63] lr: 6.2765e-04 eta: 3:29:00 time: 0.5765 data_time: 0.0320 memory: 12277 loss_text: 0.0542 loss_kernel: 0.0347 loss_embedding: 0.0117 loss: 0.1006 2022/08/26 17:23:28 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:23:32 - mmengine - INFO - Epoch(train) [244][5/63] lr: 6.2607e-04 eta: 3:29:00 time: 0.6439 data_time: 0.1500 memory: 12277 loss_text: 0.0615 loss_kernel: 0.0339 loss_embedding: 0.0124 loss: 0.1078 2022/08/26 17:23:34 - mmengine - INFO - Epoch(train) [244][10/63] lr: 6.2607e-04 eta: 3:28:52 time: 0.6680 data_time: 0.1651 memory: 12277 loss_text: 0.0560 loss_kernel: 0.0354 loss_embedding: 0.0101 loss: 0.1014 2022/08/26 17:23:37 - mmengine - INFO - Epoch(train) [244][15/63] lr: 6.2607e-04 eta: 3:28:52 time: 0.5288 data_time: 0.0369 memory: 12277 loss_text: 0.0719 loss_kernel: 0.0381 loss_embedding: 0.0102 loss: 0.1203 2022/08/26 17:23:40 - mmengine - INFO - Epoch(train) [244][20/63] lr: 6.2607e-04 eta: 3:28:47 time: 0.6157 data_time: 0.0238 memory: 12277 loss_text: 0.0679 loss_kernel: 0.0355 loss_embedding: 0.0114 loss: 0.1148 2022/08/26 17:23:43 - mmengine - INFO - Epoch(train) [244][25/63] lr: 6.2607e-04 eta: 3:28:47 time: 0.6387 data_time: 0.0284 memory: 12277 loss_text: 0.0502 loss_kernel: 0.0315 loss_embedding: 0.0103 loss: 0.0920 2022/08/26 17:23:46 - mmengine - INFO - Epoch(train) [244][30/63] lr: 6.2607e-04 eta: 3:28:41 time: 0.5524 data_time: 0.0304 memory: 12277 loss_text: 0.0508 loss_kernel: 0.0347 loss_embedding: 0.0108 loss: 0.0964 2022/08/26 17:23:48 - mmengine - INFO - Epoch(train) [244][35/63] lr: 6.2607e-04 eta: 3:28:41 time: 0.5125 data_time: 0.0259 memory: 12277 loss_text: 0.0549 loss_kernel: 0.0369 loss_embedding: 0.0098 loss: 0.1016 2022/08/26 17:23:51 - mmengine - INFO - Epoch(train) [244][40/63] lr: 6.2607e-04 eta: 3:28:35 time: 0.5231 data_time: 0.0233 memory: 12277 loss_text: 0.0519 loss_kernel: 0.0345 loss_embedding: 0.0086 loss: 0.0950 2022/08/26 17:23:54 - mmengine - INFO - Epoch(train) [244][45/63] lr: 6.2607e-04 eta: 3:28:35 time: 0.5373 data_time: 0.0272 memory: 12277 loss_text: 0.0467 loss_kernel: 0.0327 loss_embedding: 0.0096 loss: 0.0889 2022/08/26 17:23:57 - mmengine - INFO - Epoch(train) [244][50/63] lr: 6.2607e-04 eta: 3:28:30 time: 0.5905 data_time: 0.0331 memory: 12277 loss_text: 0.0484 loss_kernel: 0.0322 loss_embedding: 0.0092 loss: 0.0898 2022/08/26 17:24:00 - mmengine - INFO - Epoch(train) [244][55/63] lr: 6.2607e-04 eta: 3:28:30 time: 0.6196 data_time: 0.0357 memory: 12277 loss_text: 0.0582 loss_kernel: 0.0357 loss_embedding: 0.0100 loss: 0.1040 2022/08/26 17:24:03 - mmengine - INFO - Epoch(train) [244][60/63] lr: 6.2607e-04 eta: 3:28:25 time: 0.5892 data_time: 0.0294 memory: 12277 loss_text: 0.0592 loss_kernel: 0.0366 loss_embedding: 0.0108 loss: 0.1066 2022/08/26 17:24:04 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:24:09 - mmengine - INFO - Epoch(train) [245][5/63] lr: 6.2448e-04 eta: 3:28:25 time: 0.6723 data_time: 0.1765 memory: 12277 loss_text: 0.0480 loss_kernel: 0.0322 loss_embedding: 0.0096 loss: 0.0897 2022/08/26 17:24:12 - mmengine - INFO - Epoch(train) [245][10/63] lr: 6.2448e-04 eta: 3:28:18 time: 0.7177 data_time: 0.1814 memory: 12277 loss_text: 0.0468 loss_kernel: 0.0329 loss_embedding: 0.0115 loss: 0.0912 2022/08/26 17:24:14 - mmengine - INFO - Epoch(train) [245][15/63] lr: 6.2448e-04 eta: 3:28:18 time: 0.5779 data_time: 0.0295 memory: 12277 loss_text: 0.0555 loss_kernel: 0.0381 loss_embedding: 0.0155 loss: 0.1091 2022/08/26 17:24:17 - mmengine - INFO - Epoch(train) [245][20/63] lr: 6.2448e-04 eta: 3:28:12 time: 0.5437 data_time: 0.0239 memory: 12277 loss_text: 0.0598 loss_kernel: 0.0385 loss_embedding: 0.0128 loss: 0.1112 2022/08/26 17:24:20 - mmengine - INFO - Epoch(train) [245][25/63] lr: 6.2448e-04 eta: 3:28:12 time: 0.5441 data_time: 0.0225 memory: 12277 loss_text: 0.0520 loss_kernel: 0.0338 loss_embedding: 0.0112 loss: 0.0970 2022/08/26 17:24:23 - mmengine - INFO - Epoch(train) [245][30/63] lr: 6.2448e-04 eta: 3:28:06 time: 0.5556 data_time: 0.0273 memory: 12277 loss_text: 0.0631 loss_kernel: 0.0381 loss_embedding: 0.0130 loss: 0.1143 2022/08/26 17:24:25 - mmengine - INFO - Epoch(train) [245][35/63] lr: 6.2448e-04 eta: 3:28:06 time: 0.5544 data_time: 0.0398 memory: 12277 loss_text: 0.0636 loss_kernel: 0.0383 loss_embedding: 0.0119 loss: 0.1138 2022/08/26 17:24:28 - mmengine - INFO - Epoch(train) [245][40/63] lr: 6.2448e-04 eta: 3:28:01 time: 0.5504 data_time: 0.0381 memory: 12277 loss_text: 0.0480 loss_kernel: 0.0317 loss_embedding: 0.0107 loss: 0.0904 2022/08/26 17:24:31 - mmengine - INFO - Epoch(train) [245][45/63] lr: 6.2448e-04 eta: 3:28:01 time: 0.5425 data_time: 0.0282 memory: 12277 loss_text: 0.0560 loss_kernel: 0.0338 loss_embedding: 0.0099 loss: 0.0998 2022/08/26 17:24:34 - mmengine - INFO - Epoch(train) [245][50/63] lr: 6.2448e-04 eta: 3:27:56 time: 0.6363 data_time: 0.0349 memory: 12277 loss_text: 0.0674 loss_kernel: 0.0382 loss_embedding: 0.0107 loss: 0.1162 2022/08/26 17:24:37 - mmengine - INFO - Epoch(train) [245][55/63] lr: 6.2448e-04 eta: 3:27:56 time: 0.6169 data_time: 0.0319 memory: 12277 loss_text: 0.0658 loss_kernel: 0.0373 loss_embedding: 0.0105 loss: 0.1136 2022/08/26 17:24:40 - mmengine - INFO - Epoch(train) [245][60/63] lr: 6.2448e-04 eta: 3:27:50 time: 0.5434 data_time: 0.0266 memory: 12277 loss_text: 0.0682 loss_kernel: 0.0392 loss_embedding: 0.0094 loss: 0.1169 2022/08/26 17:24:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:24:47 - mmengine - INFO - Epoch(train) [246][5/63] lr: 6.2290e-04 eta: 3:27:50 time: 0.8094 data_time: 0.2790 memory: 12277 loss_text: 0.0601 loss_kernel: 0.0375 loss_embedding: 0.0093 loss: 0.1069 2022/08/26 17:24:50 - mmengine - INFO - Epoch(train) [246][10/63] lr: 6.2290e-04 eta: 3:27:45 time: 0.8333 data_time: 0.2941 memory: 12277 loss_text: 0.0504 loss_kernel: 0.0347 loss_embedding: 0.0097 loss: 0.0948 2022/08/26 17:24:52 - mmengine - INFO - Epoch(train) [246][15/63] lr: 6.2290e-04 eta: 3:27:45 time: 0.5715 data_time: 0.0557 memory: 12277 loss_text: 0.0520 loss_kernel: 0.0341 loss_embedding: 0.0088 loss: 0.0949 2022/08/26 17:24:55 - mmengine - INFO - Epoch(train) [246][20/63] lr: 6.2290e-04 eta: 3:27:39 time: 0.5533 data_time: 0.0395 memory: 12277 loss_text: 0.0630 loss_kernel: 0.0373 loss_embedding: 0.0100 loss: 0.1103 2022/08/26 17:24:58 - mmengine - INFO - Epoch(train) [246][25/63] lr: 6.2290e-04 eta: 3:27:39 time: 0.5406 data_time: 0.0278 memory: 12277 loss_text: 0.0626 loss_kernel: 0.0352 loss_embedding: 0.0117 loss: 0.1095 2022/08/26 17:25:02 - mmengine - INFO - Epoch(train) [246][30/63] lr: 6.2290e-04 eta: 3:27:35 time: 0.6862 data_time: 0.0387 memory: 12277 loss_text: 0.0593 loss_kernel: 0.0348 loss_embedding: 0.0113 loss: 0.1055 2022/08/26 17:25:05 - mmengine - INFO - Epoch(train) [246][35/63] lr: 6.2290e-04 eta: 3:27:35 time: 0.7010 data_time: 0.0396 memory: 12277 loss_text: 0.0541 loss_kernel: 0.0352 loss_embedding: 0.0103 loss: 0.0996 2022/08/26 17:25:08 - mmengine - INFO - Epoch(train) [246][40/63] lr: 6.2290e-04 eta: 3:27:30 time: 0.6007 data_time: 0.0321 memory: 12277 loss_text: 0.0501 loss_kernel: 0.0346 loss_embedding: 0.0097 loss: 0.0944 2022/08/26 17:25:11 - mmengine - INFO - Epoch(train) [246][45/63] lr: 6.2290e-04 eta: 3:27:30 time: 0.5766 data_time: 0.0317 memory: 12277 loss_text: 0.0496 loss_kernel: 0.0358 loss_embedding: 0.0103 loss: 0.0957 2022/08/26 17:25:13 - mmengine - INFO - Epoch(train) [246][50/63] lr: 6.2290e-04 eta: 3:27:24 time: 0.5315 data_time: 0.0360 memory: 12277 loss_text: 0.0512 loss_kernel: 0.0340 loss_embedding: 0.0111 loss: 0.0963 2022/08/26 17:25:16 - mmengine - INFO - Epoch(train) [246][55/63] lr: 6.2290e-04 eta: 3:27:24 time: 0.5315 data_time: 0.0335 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0348 loss_embedding: 0.0125 loss: 0.1038 2022/08/26 17:25:19 - mmengine - INFO - Epoch(train) [246][60/63] lr: 6.2290e-04 eta: 3:27:19 time: 0.5467 data_time: 0.0432 memory: 12277 loss_text: 0.0529 loss_kernel: 0.0340 loss_embedding: 0.0115 loss: 0.0984 2022/08/26 17:25:20 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:25:24 - mmengine - INFO - Epoch(train) [247][5/63] lr: 6.2132e-04 eta: 3:27:19 time: 0.6488 data_time: 0.1615 memory: 12277 loss_text: 0.0545 loss_kernel: 0.0310 loss_embedding: 0.0107 loss: 0.0962 2022/08/26 17:25:27 - mmengine - INFO - Epoch(train) [247][10/63] lr: 6.2132e-04 eta: 3:27:11 time: 0.6771 data_time: 0.1652 memory: 12277 loss_text: 0.0516 loss_kernel: 0.0305 loss_embedding: 0.0101 loss: 0.0921 2022/08/26 17:25:31 - mmengine - INFO - Epoch(train) [247][15/63] lr: 6.2132e-04 eta: 3:27:11 time: 0.6675 data_time: 0.0436 memory: 12277 loss_text: 0.0492 loss_kernel: 0.0324 loss_embedding: 0.0107 loss: 0.0923 2022/08/26 17:25:34 - mmengine - INFO - Epoch(train) [247][20/63] lr: 6.2132e-04 eta: 3:27:07 time: 0.7188 data_time: 0.0461 memory: 12277 loss_text: 0.0562 loss_kernel: 0.0343 loss_embedding: 0.0105 loss: 0.1009 2022/08/26 17:25:37 - mmengine - INFO - Epoch(train) [247][25/63] lr: 6.2132e-04 eta: 3:27:07 time: 0.5737 data_time: 0.0325 memory: 12277 loss_text: 0.0555 loss_kernel: 0.0336 loss_embedding: 0.0106 loss: 0.0996 2022/08/26 17:25:39 - mmengine - INFO - Epoch(train) [247][30/63] lr: 6.2132e-04 eta: 3:27:01 time: 0.5179 data_time: 0.0308 memory: 12277 loss_text: 0.0502 loss_kernel: 0.0326 loss_embedding: 0.0108 loss: 0.0936 2022/08/26 17:25:42 - mmengine - INFO - Epoch(train) [247][35/63] lr: 6.2132e-04 eta: 3:27:01 time: 0.5454 data_time: 0.0318 memory: 12277 loss_text: 0.0494 loss_kernel: 0.0329 loss_embedding: 0.0108 loss: 0.0930 2022/08/26 17:25:45 - mmengine - INFO - Epoch(train) [247][40/63] lr: 6.2132e-04 eta: 3:26:56 time: 0.5587 data_time: 0.0331 memory: 12277 loss_text: 0.0570 loss_kernel: 0.0371 loss_embedding: 0.0104 loss: 0.1045 2022/08/26 17:25:48 - mmengine - INFO - Epoch(train) [247][45/63] lr: 6.2132e-04 eta: 3:26:56 time: 0.5750 data_time: 0.0320 memory: 12277 loss_text: 0.0660 loss_kernel: 0.0384 loss_embedding: 0.0100 loss: 0.1144 2022/08/26 17:25:50 - mmengine - INFO - Epoch(train) [247][50/63] lr: 6.2132e-04 eta: 3:26:50 time: 0.5514 data_time: 0.0294 memory: 12277 loss_text: 0.0607 loss_kernel: 0.0341 loss_embedding: 0.0118 loss: 0.1066 2022/08/26 17:25:53 - mmengine - INFO - Epoch(train) [247][55/63] lr: 6.2132e-04 eta: 3:26:50 time: 0.5474 data_time: 0.0323 memory: 12277 loss_text: 0.0538 loss_kernel: 0.0324 loss_embedding: 0.0115 loss: 0.0976 2022/08/26 17:25:56 - mmengine - INFO - Epoch(train) [247][60/63] lr: 6.2132e-04 eta: 3:26:44 time: 0.5517 data_time: 0.0315 memory: 12277 loss_text: 0.0489 loss_kernel: 0.0307 loss_embedding: 0.0094 loss: 0.0890 2022/08/26 17:25:57 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:26:02 - mmengine - INFO - Epoch(train) [248][5/63] lr: 6.1973e-04 eta: 3:26:44 time: 0.7040 data_time: 0.1982 memory: 12277 loss_text: 0.0534 loss_kernel: 0.0344 loss_embedding: 0.0112 loss: 0.0990 2022/08/26 17:26:05 - mmengine - INFO - Epoch(train) [248][10/63] lr: 6.1973e-04 eta: 3:26:37 time: 0.7241 data_time: 0.2047 memory: 12277 loss_text: 0.0548 loss_kernel: 0.0350 loss_embedding: 0.0108 loss: 0.1005 2022/08/26 17:26:07 - mmengine - INFO - Epoch(train) [248][15/63] lr: 6.1973e-04 eta: 3:26:37 time: 0.5178 data_time: 0.0293 memory: 12277 loss_text: 0.0538 loss_kernel: 0.0344 loss_embedding: 0.0097 loss: 0.0979 2022/08/26 17:26:10 - mmengine - INFO - Epoch(train) [248][20/63] lr: 6.1973e-04 eta: 3:26:31 time: 0.5230 data_time: 0.0239 memory: 12277 loss_text: 0.0456 loss_kernel: 0.0320 loss_embedding: 0.0089 loss: 0.0865 2022/08/26 17:26:12 - mmengine - INFO - Epoch(train) [248][25/63] lr: 6.1973e-04 eta: 3:26:31 time: 0.5301 data_time: 0.0279 memory: 12277 loss_text: 0.0487 loss_kernel: 0.0337 loss_embedding: 0.0112 loss: 0.0937 2022/08/26 17:26:15 - mmengine - INFO - Epoch(train) [248][30/63] lr: 6.1973e-04 eta: 3:26:25 time: 0.5248 data_time: 0.0291 memory: 12277 loss_text: 0.0511 loss_kernel: 0.0348 loss_embedding: 0.0132 loss: 0.0991 2022/08/26 17:26:18 - mmengine - INFO - Epoch(train) [248][35/63] lr: 6.1973e-04 eta: 3:26:25 time: 0.5301 data_time: 0.0266 memory: 12277 loss_text: 0.0598 loss_kernel: 0.0360 loss_embedding: 0.0104 loss: 0.1062 2022/08/26 17:26:20 - mmengine - INFO - Epoch(train) [248][40/63] lr: 6.1973e-04 eta: 3:26:19 time: 0.5268 data_time: 0.0252 memory: 12277 loss_text: 0.0635 loss_kernel: 0.0352 loss_embedding: 0.0084 loss: 0.1071 2022/08/26 17:26:23 - mmengine - INFO - Epoch(train) [248][45/63] lr: 6.1973e-04 eta: 3:26:19 time: 0.5268 data_time: 0.0247 memory: 12277 loss_text: 0.0581 loss_kernel: 0.0356 loss_embedding: 0.0093 loss: 0.1029 2022/08/26 17:26:26 - mmengine - INFO - Epoch(train) [248][50/63] lr: 6.1973e-04 eta: 3:26:13 time: 0.5424 data_time: 0.0280 memory: 12277 loss_text: 0.0568 loss_kernel: 0.0379 loss_embedding: 0.0096 loss: 0.1043 2022/08/26 17:26:28 - mmengine - INFO - Epoch(train) [248][55/63] lr: 6.1973e-04 eta: 3:26:13 time: 0.5491 data_time: 0.0298 memory: 12277 loss_text: 0.0554 loss_kernel: 0.0372 loss_embedding: 0.0092 loss: 0.1019 2022/08/26 17:26:31 - mmengine - INFO - Epoch(train) [248][60/63] lr: 6.1973e-04 eta: 3:26:08 time: 0.5741 data_time: 0.0329 memory: 12277 loss_text: 0.0501 loss_kernel: 0.0344 loss_embedding: 0.0098 loss: 0.0943 2022/08/26 17:26:33 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:26:38 - mmengine - INFO - Epoch(train) [249][5/63] lr: 6.1815e-04 eta: 3:26:08 time: 0.7636 data_time: 0.2937 memory: 12277 loss_text: 0.0507 loss_kernel: 0.0313 loss_embedding: 0.0097 loss: 0.0918 2022/08/26 17:26:41 - mmengine - INFO - Epoch(train) [249][10/63] lr: 6.1815e-04 eta: 3:26:01 time: 0.7825 data_time: 0.2984 memory: 12277 loss_text: 0.0553 loss_kernel: 0.0338 loss_embedding: 0.0087 loss: 0.0978 2022/08/26 17:26:44 - mmengine - INFO - Epoch(train) [249][15/63] lr: 6.1815e-04 eta: 3:26:01 time: 0.5482 data_time: 0.0380 memory: 12277 loss_text: 0.0597 loss_kernel: 0.0352 loss_embedding: 0.0101 loss: 0.1050 2022/08/26 17:26:46 - mmengine - INFO - Epoch(train) [249][20/63] lr: 6.1815e-04 eta: 3:25:56 time: 0.5435 data_time: 0.0366 memory: 12277 loss_text: 0.0502 loss_kernel: 0.0329 loss_embedding: 0.0109 loss: 0.0940 2022/08/26 17:26:49 - mmengine - INFO - Epoch(train) [249][25/63] lr: 6.1815e-04 eta: 3:25:56 time: 0.5286 data_time: 0.0320 memory: 12277 loss_text: 0.0450 loss_kernel: 0.0319 loss_embedding: 0.0096 loss: 0.0865 2022/08/26 17:26:52 - mmengine - INFO - Epoch(train) [249][30/63] lr: 6.1815e-04 eta: 3:25:51 time: 0.6194 data_time: 0.0458 memory: 12277 loss_text: 0.0447 loss_kernel: 0.0305 loss_embedding: 0.0088 loss: 0.0841 2022/08/26 17:26:55 - mmengine - INFO - Epoch(train) [249][35/63] lr: 6.1815e-04 eta: 3:25:51 time: 0.6047 data_time: 0.0406 memory: 12277 loss_text: 0.0491 loss_kernel: 0.0317 loss_embedding: 0.0103 loss: 0.0911 2022/08/26 17:26:58 - mmengine - INFO - Epoch(train) [249][40/63] lr: 6.1815e-04 eta: 3:25:45 time: 0.5426 data_time: 0.0283 memory: 12277 loss_text: 0.0549 loss_kernel: 0.0352 loss_embedding: 0.0105 loss: 0.1007 2022/08/26 17:27:01 - mmengine - INFO - Epoch(train) [249][45/63] lr: 6.1815e-04 eta: 3:25:45 time: 0.5923 data_time: 0.0333 memory: 12277 loss_text: 0.0543 loss_kernel: 0.0370 loss_embedding: 0.0096 loss: 0.1009 2022/08/26 17:27:03 - mmengine - INFO - Epoch(train) [249][50/63] lr: 6.1815e-04 eta: 3:25:40 time: 0.5772 data_time: 0.0339 memory: 12277 loss_text: 0.0487 loss_kernel: 0.0332 loss_embedding: 0.0099 loss: 0.0919 2022/08/26 17:27:06 - mmengine - INFO - Epoch(train) [249][55/63] lr: 6.1815e-04 eta: 3:25:40 time: 0.5377 data_time: 0.0268 memory: 12277 loss_text: 0.0547 loss_kernel: 0.0344 loss_embedding: 0.0101 loss: 0.0993 2022/08/26 17:27:09 - mmengine - INFO - Epoch(train) [249][60/63] lr: 6.1815e-04 eta: 3:25:34 time: 0.5507 data_time: 0.0259 memory: 12277 loss_text: 0.0564 loss_kernel: 0.0347 loss_embedding: 0.0095 loss: 0.1006 2022/08/26 17:27:11 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:27:16 - mmengine - INFO - Epoch(train) [250][5/63] lr: 6.1656e-04 eta: 3:25:34 time: 0.7717 data_time: 0.2310 memory: 12277 loss_text: 0.0536 loss_kernel: 0.0344 loss_embedding: 0.0108 loss: 0.0988 2022/08/26 17:27:18 - mmengine - INFO - Epoch(train) [250][10/63] lr: 6.1656e-04 eta: 3:25:27 time: 0.7470 data_time: 0.2539 memory: 12277 loss_text: 0.0558 loss_kernel: 0.0361 loss_embedding: 0.0094 loss: 0.1013 2022/08/26 17:27:21 - mmengine - INFO - Epoch(train) [250][15/63] lr: 6.1656e-04 eta: 3:25:27 time: 0.5526 data_time: 0.0454 memory: 12277 loss_text: 0.0701 loss_kernel: 0.0411 loss_embedding: 0.0102 loss: 0.1215 2022/08/26 17:27:24 - mmengine - INFO - Epoch(train) [250][20/63] lr: 6.1656e-04 eta: 3:25:21 time: 0.5435 data_time: 0.0241 memory: 12277 loss_text: 0.0662 loss_kernel: 0.0386 loss_embedding: 0.0117 loss: 0.1165 2022/08/26 17:27:27 - mmengine - INFO - Epoch(train) [250][25/63] lr: 6.1656e-04 eta: 3:25:21 time: 0.5549 data_time: 0.0342 memory: 12277 loss_text: 0.0455 loss_kernel: 0.0305 loss_embedding: 0.0103 loss: 0.0863 2022/08/26 17:27:29 - mmengine - INFO - Epoch(train) [250][30/63] lr: 6.1656e-04 eta: 3:25:16 time: 0.5504 data_time: 0.0409 memory: 12277 loss_text: 0.0538 loss_kernel: 0.0341 loss_embedding: 0.0096 loss: 0.0975 2022/08/26 17:27:33 - mmengine - INFO - Epoch(train) [250][35/63] lr: 6.1656e-04 eta: 3:25:16 time: 0.6622 data_time: 0.0355 memory: 12277 loss_text: 0.0647 loss_kernel: 0.0392 loss_embedding: 0.0107 loss: 0.1147 2022/08/26 17:27:37 - mmengine - INFO - Epoch(train) [250][40/63] lr: 6.1656e-04 eta: 3:25:13 time: 0.7298 data_time: 0.0287 memory: 12277 loss_text: 0.0671 loss_kernel: 0.0412 loss_embedding: 0.0099 loss: 0.1182 2022/08/26 17:27:39 - mmengine - INFO - Epoch(train) [250][45/63] lr: 6.1656e-04 eta: 3:25:13 time: 0.5959 data_time: 0.0262 memory: 12277 loss_text: 0.0555 loss_kernel: 0.0372 loss_embedding: 0.0090 loss: 0.1017 2022/08/26 17:27:42 - mmengine - INFO - Epoch(train) [250][50/63] lr: 6.1656e-04 eta: 3:25:07 time: 0.5308 data_time: 0.0294 memory: 12277 loss_text: 0.0520 loss_kernel: 0.0376 loss_embedding: 0.0095 loss: 0.0991 2022/08/26 17:27:45 - mmengine - INFO - Epoch(train) [250][55/63] lr: 6.1656e-04 eta: 3:25:07 time: 0.5592 data_time: 0.0353 memory: 12277 loss_text: 0.0554 loss_kernel: 0.0382 loss_embedding: 0.0094 loss: 0.1029 2022/08/26 17:27:47 - mmengine - INFO - Epoch(train) [250][60/63] lr: 6.1656e-04 eta: 3:25:01 time: 0.5501 data_time: 0.0301 memory: 12277 loss_text: 0.0500 loss_kernel: 0.0317 loss_embedding: 0.0081 loss: 0.0898 2022/08/26 17:27:49 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:27:53 - mmengine - INFO - Epoch(train) [251][5/63] lr: 6.1498e-04 eta: 3:25:01 time: 0.6725 data_time: 0.1958 memory: 12277 loss_text: 0.0663 loss_kernel: 0.0371 loss_embedding: 0.0071 loss: 0.1106 2022/08/26 17:27:56 - mmengine - INFO - Epoch(train) [251][10/63] lr: 6.1498e-04 eta: 3:24:54 time: 0.7253 data_time: 0.2074 memory: 12277 loss_text: 0.0580 loss_kernel: 0.0371 loss_embedding: 0.0077 loss: 0.1027 2022/08/26 17:27:59 - mmengine - INFO - Epoch(train) [251][15/63] lr: 6.1498e-04 eta: 3:24:54 time: 0.5449 data_time: 0.0353 memory: 12277 loss_text: 0.0540 loss_kernel: 0.0363 loss_embedding: 0.0100 loss: 0.1003 2022/08/26 17:28:02 - mmengine - INFO - Epoch(train) [251][20/63] lr: 6.1498e-04 eta: 3:24:49 time: 0.5897 data_time: 0.0475 memory: 12277 loss_text: 0.0465 loss_kernel: 0.0323 loss_embedding: 0.0105 loss: 0.0894 2022/08/26 17:28:05 - mmengine - INFO - Epoch(train) [251][25/63] lr: 6.1498e-04 eta: 3:24:49 time: 0.6032 data_time: 0.0512 memory: 12277 loss_text: 0.0518 loss_kernel: 0.0320 loss_embedding: 0.0108 loss: 0.0945 2022/08/26 17:28:07 - mmengine - INFO - Epoch(train) [251][30/63] lr: 6.1498e-04 eta: 3:24:43 time: 0.5574 data_time: 0.0336 memory: 12277 loss_text: 0.0616 loss_kernel: 0.0365 loss_embedding: 0.0112 loss: 0.1094 2022/08/26 17:28:10 - mmengine - INFO - Epoch(train) [251][35/63] lr: 6.1498e-04 eta: 3:24:43 time: 0.5509 data_time: 0.0287 memory: 12277 loss_text: 0.0547 loss_kernel: 0.0350 loss_embedding: 0.0099 loss: 0.0996 2022/08/26 17:28:13 - mmengine - INFO - Epoch(train) [251][40/63] lr: 6.1498e-04 eta: 3:24:37 time: 0.5544 data_time: 0.0254 memory: 12277 loss_text: 0.0436 loss_kernel: 0.0299 loss_embedding: 0.0101 loss: 0.0836 2022/08/26 17:28:16 - mmengine - INFO - Epoch(train) [251][45/63] lr: 6.1498e-04 eta: 3:24:37 time: 0.5525 data_time: 0.0251 memory: 12277 loss_text: 0.0488 loss_kernel: 0.0319 loss_embedding: 0.0096 loss: 0.0903 2022/08/26 17:28:18 - mmengine - INFO - Epoch(train) [251][50/63] lr: 6.1498e-04 eta: 3:24:31 time: 0.5272 data_time: 0.0274 memory: 12277 loss_text: 0.0580 loss_kernel: 0.0337 loss_embedding: 0.0097 loss: 0.1014 2022/08/26 17:28:21 - mmengine - INFO - Epoch(train) [251][55/63] lr: 6.1498e-04 eta: 3:24:31 time: 0.5876 data_time: 0.0292 memory: 12277 loss_text: 0.0543 loss_kernel: 0.0317 loss_embedding: 0.0097 loss: 0.0957 2022/08/26 17:28:24 - mmengine - INFO - Epoch(train) [251][60/63] lr: 6.1498e-04 eta: 3:24:26 time: 0.5906 data_time: 0.0236 memory: 12277 loss_text: 0.0544 loss_kernel: 0.0337 loss_embedding: 0.0089 loss: 0.0969 2022/08/26 17:28:25 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:28:30 - mmengine - INFO - Epoch(train) [252][5/63] lr: 6.1339e-04 eta: 3:24:26 time: 0.6893 data_time: 0.1905 memory: 12277 loss_text: 0.0469 loss_kernel: 0.0303 loss_embedding: 0.0096 loss: 0.0867 2022/08/26 17:28:33 - mmengine - INFO - Epoch(train) [252][10/63] lr: 6.1339e-04 eta: 3:24:19 time: 0.7322 data_time: 0.2140 memory: 12277 loss_text: 0.0455 loss_kernel: 0.0304 loss_embedding: 0.0099 loss: 0.0858 2022/08/26 17:28:35 - mmengine - INFO - Epoch(train) [252][15/63] lr: 6.1339e-04 eta: 3:24:19 time: 0.5471 data_time: 0.0458 memory: 12277 loss_text: 0.0510 loss_kernel: 0.0336 loss_embedding: 0.0103 loss: 0.0949 2022/08/26 17:28:38 - mmengine - INFO - Epoch(train) [252][20/63] lr: 6.1339e-04 eta: 3:24:13 time: 0.5247 data_time: 0.0209 memory: 12277 loss_text: 0.0577 loss_kernel: 0.0374 loss_embedding: 0.0103 loss: 0.1054 2022/08/26 17:28:41 - mmengine - INFO - Epoch(train) [252][25/63] lr: 6.1339e-04 eta: 3:24:13 time: 0.5731 data_time: 0.0274 memory: 12277 loss_text: 0.0539 loss_kernel: 0.0342 loss_embedding: 0.0099 loss: 0.0980 2022/08/26 17:28:44 - mmengine - INFO - Epoch(train) [252][30/63] lr: 6.1339e-04 eta: 3:24:08 time: 0.5853 data_time: 0.0370 memory: 12277 loss_text: 0.0528 loss_kernel: 0.0310 loss_embedding: 0.0102 loss: 0.0940 2022/08/26 17:28:47 - mmengine - INFO - Epoch(train) [252][35/63] lr: 6.1339e-04 eta: 3:24:08 time: 0.5344 data_time: 0.0309 memory: 12277 loss_text: 0.0515 loss_kernel: 0.0317 loss_embedding: 0.0114 loss: 0.0947 2022/08/26 17:28:49 - mmengine - INFO - Epoch(train) [252][40/63] lr: 6.1339e-04 eta: 3:24:02 time: 0.5279 data_time: 0.0251 memory: 12277 loss_text: 0.0499 loss_kernel: 0.0331 loss_embedding: 0.0115 loss: 0.0944 2022/08/26 17:28:52 - mmengine - INFO - Epoch(train) [252][45/63] lr: 6.1339e-04 eta: 3:24:02 time: 0.5657 data_time: 0.0315 memory: 12277 loss_text: 0.0491 loss_kernel: 0.0327 loss_embedding: 0.0109 loss: 0.0927 2022/08/26 17:28:55 - mmengine - INFO - Epoch(train) [252][50/63] lr: 6.1339e-04 eta: 3:23:56 time: 0.5629 data_time: 0.0336 memory: 12277 loss_text: 0.0469 loss_kernel: 0.0327 loss_embedding: 0.0095 loss: 0.0892 2022/08/26 17:28:58 - mmengine - INFO - Epoch(train) [252][55/63] lr: 6.1339e-04 eta: 3:23:56 time: 0.5332 data_time: 0.0265 memory: 12277 loss_text: 0.0494 loss_kernel: 0.0335 loss_embedding: 0.0094 loss: 0.0922 2022/08/26 17:29:01 - mmengine - INFO - Epoch(train) [252][60/63] lr: 6.1339e-04 eta: 3:23:51 time: 0.5970 data_time: 0.0473 memory: 12277 loss_text: 0.0522 loss_kernel: 0.0331 loss_embedding: 0.0106 loss: 0.0958 2022/08/26 17:29:02 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:29:06 - mmengine - INFO - Epoch(train) [253][5/63] lr: 6.1180e-04 eta: 3:23:51 time: 0.7114 data_time: 0.1731 memory: 12277 loss_text: 0.0567 loss_kernel: 0.0330 loss_embedding: 0.0122 loss: 0.1019 2022/08/26 17:29:09 - mmengine - INFO - Epoch(train) [253][10/63] lr: 6.1180e-04 eta: 3:23:43 time: 0.6818 data_time: 0.1778 memory: 12277 loss_text: 0.0556 loss_kernel: 0.0311 loss_embedding: 0.0121 loss: 0.0989 2022/08/26 17:29:12 - mmengine - INFO - Epoch(train) [253][15/63] lr: 6.1180e-04 eta: 3:23:43 time: 0.5277 data_time: 0.0312 memory: 12277 loss_text: 0.0511 loss_kernel: 0.0305 loss_embedding: 0.0115 loss: 0.0931 2022/08/26 17:29:15 - mmengine - INFO - Epoch(train) [253][20/63] lr: 6.1180e-04 eta: 3:23:38 time: 0.5597 data_time: 0.0335 memory: 12277 loss_text: 0.0564 loss_kernel: 0.0357 loss_embedding: 0.0125 loss: 0.1046 2022/08/26 17:29:17 - mmengine - INFO - Epoch(train) [253][25/63] lr: 6.1180e-04 eta: 3:23:38 time: 0.5437 data_time: 0.0396 memory: 12277 loss_text: 0.0580 loss_kernel: 0.0361 loss_embedding: 0.0111 loss: 0.1052 2022/08/26 17:29:20 - mmengine - INFO - Epoch(train) [253][30/63] lr: 6.1180e-04 eta: 3:23:32 time: 0.5290 data_time: 0.0321 memory: 12277 loss_text: 0.0493 loss_kernel: 0.0319 loss_embedding: 0.0108 loss: 0.0921 2022/08/26 17:29:23 - mmengine - INFO - Epoch(train) [253][35/63] lr: 6.1180e-04 eta: 3:23:32 time: 0.5389 data_time: 0.0301 memory: 12277 loss_text: 0.0526 loss_kernel: 0.0344 loss_embedding: 0.0111 loss: 0.0982 2022/08/26 17:29:26 - mmengine - INFO - Epoch(train) [253][40/63] lr: 6.1180e-04 eta: 3:23:27 time: 0.5898 data_time: 0.0889 memory: 12277 loss_text: 0.0543 loss_kernel: 0.0351 loss_embedding: 0.0100 loss: 0.0993 2022/08/26 17:29:29 - mmengine - INFO - Epoch(train) [253][45/63] lr: 6.1180e-04 eta: 3:23:27 time: 0.6068 data_time: 0.0864 memory: 12277 loss_text: 0.0498 loss_kernel: 0.0327 loss_embedding: 0.0112 loss: 0.0937 2022/08/26 17:29:31 - mmengine - INFO - Epoch(train) [253][50/63] lr: 6.1180e-04 eta: 3:23:21 time: 0.5512 data_time: 0.0313 memory: 12277 loss_text: 0.0479 loss_kernel: 0.0318 loss_embedding: 0.0108 loss: 0.0905 2022/08/26 17:29:34 - mmengine - INFO - Epoch(train) [253][55/63] lr: 6.1180e-04 eta: 3:23:21 time: 0.5482 data_time: 0.0303 memory: 12277 loss_text: 0.0510 loss_kernel: 0.0320 loss_embedding: 0.0105 loss: 0.0935 2022/08/26 17:29:37 - mmengine - INFO - Epoch(train) [253][60/63] lr: 6.1180e-04 eta: 3:23:15 time: 0.5495 data_time: 0.0265 memory: 12277 loss_text: 0.0556 loss_kernel: 0.0365 loss_embedding: 0.0137 loss: 0.1059 2022/08/26 17:29:38 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:29:43 - mmengine - INFO - Epoch(train) [254][5/63] lr: 6.1022e-04 eta: 3:23:15 time: 0.7788 data_time: 0.2183 memory: 12277 loss_text: 0.0583 loss_kernel: 0.0340 loss_embedding: 0.0111 loss: 0.1034 2022/08/26 17:29:46 - mmengine - INFO - Epoch(train) [254][10/63] lr: 6.1022e-04 eta: 3:23:09 time: 0.7858 data_time: 0.2183 memory: 12277 loss_text: 0.0532 loss_kernel: 0.0337 loss_embedding: 0.0098 loss: 0.0966 2022/08/26 17:29:49 - mmengine - INFO - Epoch(train) [254][15/63] lr: 6.1022e-04 eta: 3:23:09 time: 0.5274 data_time: 0.0292 memory: 12277 loss_text: 0.0568 loss_kernel: 0.0348 loss_embedding: 0.0110 loss: 0.1026 2022/08/26 17:29:52 - mmengine - INFO - Epoch(train) [254][20/63] lr: 6.1022e-04 eta: 3:23:03 time: 0.5509 data_time: 0.0342 memory: 12277 loss_text: 0.0581 loss_kernel: 0.0334 loss_embedding: 0.0134 loss: 0.1049 2022/08/26 17:29:54 - mmengine - INFO - Epoch(train) [254][25/63] lr: 6.1022e-04 eta: 3:23:03 time: 0.5519 data_time: 0.0298 memory: 12277 loss_text: 0.0543 loss_kernel: 0.0333 loss_embedding: 0.0126 loss: 0.1001 2022/08/26 17:29:57 - mmengine - INFO - Epoch(train) [254][30/63] lr: 6.1022e-04 eta: 3:22:58 time: 0.5384 data_time: 0.0286 memory: 12277 loss_text: 0.0510 loss_kernel: 0.0322 loss_embedding: 0.0133 loss: 0.0965 2022/08/26 17:30:00 - mmengine - INFO - Epoch(train) [254][35/63] lr: 6.1022e-04 eta: 3:22:58 time: 0.5300 data_time: 0.0283 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0326 loss_embedding: 0.0143 loss: 0.1035 2022/08/26 17:30:03 - mmengine - INFO - Epoch(train) [254][40/63] lr: 6.1022e-04 eta: 3:22:52 time: 0.5801 data_time: 0.0274 memory: 12277 loss_text: 0.0728 loss_kernel: 0.0394 loss_embedding: 0.0119 loss: 0.1242 2022/08/26 17:30:06 - mmengine - INFO - Epoch(train) [254][45/63] lr: 6.1022e-04 eta: 3:22:52 time: 0.5932 data_time: 0.0273 memory: 12277 loss_text: 0.0681 loss_kernel: 0.0391 loss_embedding: 0.0118 loss: 0.1191 2022/08/26 17:30:08 - mmengine - INFO - Epoch(train) [254][50/63] lr: 6.1022e-04 eta: 3:22:46 time: 0.5353 data_time: 0.0268 memory: 12277 loss_text: 0.0600 loss_kernel: 0.0376 loss_embedding: 0.0120 loss: 0.1096 2022/08/26 17:30:11 - mmengine - INFO - Epoch(train) [254][55/63] lr: 6.1022e-04 eta: 3:22:46 time: 0.5256 data_time: 0.0259 memory: 12277 loss_text: 0.0618 loss_kernel: 0.0363 loss_embedding: 0.0107 loss: 0.1088 2022/08/26 17:30:13 - mmengine - INFO - Epoch(train) [254][60/63] lr: 6.1022e-04 eta: 3:22:40 time: 0.5269 data_time: 0.0233 memory: 12277 loss_text: 0.0495 loss_kernel: 0.0313 loss_embedding: 0.0104 loss: 0.0912 2022/08/26 17:30:14 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:30:15 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:30:19 - mmengine - INFO - Epoch(train) [255][5/63] lr: 6.0863e-04 eta: 3:22:40 time: 0.6205 data_time: 0.1436 memory: 12277 loss_text: 0.0442 loss_kernel: 0.0312 loss_embedding: 0.0116 loss: 0.0871 2022/08/26 17:30:22 - mmengine - INFO - Epoch(train) [255][10/63] lr: 6.0863e-04 eta: 3:22:33 time: 0.7094 data_time: 0.1585 memory: 12277 loss_text: 0.0528 loss_kernel: 0.0345 loss_embedding: 0.0110 loss: 0.0984 2022/08/26 17:30:24 - mmengine - INFO - Epoch(train) [255][15/63] lr: 6.0863e-04 eta: 3:22:33 time: 0.5892 data_time: 0.0383 memory: 12277 loss_text: 0.0578 loss_kernel: 0.0359 loss_embedding: 0.0112 loss: 0.1049 2022/08/26 17:30:27 - mmengine - INFO - Epoch(train) [255][20/63] lr: 6.0863e-04 eta: 3:22:27 time: 0.5358 data_time: 0.0248 memory: 12277 loss_text: 0.0527 loss_kernel: 0.0335 loss_embedding: 0.0110 loss: 0.0971 2022/08/26 17:30:30 - mmengine - INFO - Epoch(train) [255][25/63] lr: 6.0863e-04 eta: 3:22:27 time: 0.5166 data_time: 0.0221 memory: 12277 loss_text: 0.0529 loss_kernel: 0.0334 loss_embedding: 0.0118 loss: 0.0982 2022/08/26 17:30:32 - mmengine - INFO - Epoch(train) [255][30/63] lr: 6.0863e-04 eta: 3:22:21 time: 0.5276 data_time: 0.0261 memory: 12277 loss_text: 0.0513 loss_kernel: 0.0331 loss_embedding: 0.0133 loss: 0.0977 2022/08/26 17:30:35 - mmengine - INFO - Epoch(train) [255][35/63] lr: 6.0863e-04 eta: 3:22:21 time: 0.5574 data_time: 0.0286 memory: 12277 loss_text: 0.0502 loss_kernel: 0.0324 loss_embedding: 0.0120 loss: 0.0946 2022/08/26 17:30:38 - mmengine - INFO - Epoch(train) [255][40/63] lr: 6.0863e-04 eta: 3:22:15 time: 0.5442 data_time: 0.0263 memory: 12277 loss_text: 0.0544 loss_kernel: 0.0344 loss_embedding: 0.0096 loss: 0.0983 2022/08/26 17:30:41 - mmengine - INFO - Epoch(train) [255][45/63] lr: 6.0863e-04 eta: 3:22:15 time: 0.5413 data_time: 0.0332 memory: 12277 loss_text: 0.0515 loss_kernel: 0.0337 loss_embedding: 0.0090 loss: 0.0943 2022/08/26 17:30:44 - mmengine - INFO - Epoch(train) [255][50/63] lr: 6.0863e-04 eta: 3:22:10 time: 0.5840 data_time: 0.0378 memory: 12277 loss_text: 0.0490 loss_kernel: 0.0327 loss_embedding: 0.0113 loss: 0.0930 2022/08/26 17:30:47 - mmengine - INFO - Epoch(train) [255][55/63] lr: 6.0863e-04 eta: 3:22:10 time: 0.5974 data_time: 0.0313 memory: 12277 loss_text: 0.0520 loss_kernel: 0.0339 loss_embedding: 0.0105 loss: 0.0964 2022/08/26 17:30:49 - mmengine - INFO - Epoch(train) [255][60/63] lr: 6.0863e-04 eta: 3:22:04 time: 0.5523 data_time: 0.0248 memory: 12277 loss_text: 0.0555 loss_kernel: 0.0354 loss_embedding: 0.0095 loss: 0.1004 2022/08/26 17:30:51 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:30:55 - mmengine - INFO - Epoch(train) [256][5/63] lr: 6.0704e-04 eta: 3:22:04 time: 0.6829 data_time: 0.1927 memory: 12277 loss_text: 0.0480 loss_kernel: 0.0336 loss_embedding: 0.0085 loss: 0.0901 2022/08/26 17:30:58 - mmengine - INFO - Epoch(train) [256][10/63] lr: 6.0704e-04 eta: 3:21:57 time: 0.7315 data_time: 0.1965 memory: 12277 loss_text: 0.0490 loss_kernel: 0.0329 loss_embedding: 0.0092 loss: 0.0911 2022/08/26 17:31:01 - mmengine - INFO - Epoch(train) [256][15/63] lr: 6.0704e-04 eta: 3:21:57 time: 0.5741 data_time: 0.0253 memory: 12277 loss_text: 0.0519 loss_kernel: 0.0312 loss_embedding: 0.0099 loss: 0.0930 2022/08/26 17:31:03 - mmengine - INFO - Epoch(train) [256][20/63] lr: 6.0704e-04 eta: 3:21:52 time: 0.5580 data_time: 0.0264 memory: 12277 loss_text: 0.0485 loss_kernel: 0.0299 loss_embedding: 0.0098 loss: 0.0882 2022/08/26 17:31:06 - mmengine - INFO - Epoch(train) [256][25/63] lr: 6.0704e-04 eta: 3:21:52 time: 0.5409 data_time: 0.0268 memory: 12277 loss_text: 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3:21:37 time: 0.5751 data_time: 0.0498 memory: 12277 loss_text: 0.0713 loss_kernel: 0.0407 loss_embedding: 0.0108 loss: 0.1228 2022/08/26 17:31:24 - mmengine - INFO - Epoch(train) [256][55/63] lr: 6.0704e-04 eta: 3:21:37 time: 0.5457 data_time: 0.0294 memory: 12277 loss_text: 0.0579 loss_kernel: 0.0357 loss_embedding: 0.0132 loss: 0.1069 2022/08/26 17:31:27 - mmengine - INFO - Epoch(train) [256][60/63] lr: 6.0704e-04 eta: 3:21:31 time: 0.5322 data_time: 0.0267 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0364 loss_embedding: 0.0131 loss: 0.1061 2022/08/26 17:31:28 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:31:34 - mmengine - INFO - Epoch(train) [257][5/63] lr: 6.0545e-04 eta: 3:21:31 time: 0.7725 data_time: 0.2113 memory: 12277 loss_text: 0.0560 loss_kernel: 0.0355 loss_embedding: 0.0099 loss: 0.1013 2022/08/26 17:31:36 - mmengine - INFO - Epoch(train) [257][10/63] lr: 6.0545e-04 eta: 3:21:24 time: 0.7757 data_time: 0.2159 memory: 12277 loss_text: 0.0543 loss_kernel: 0.0332 loss_embedding: 0.0096 loss: 0.0970 2022/08/26 17:31:39 - mmengine - INFO - Epoch(train) [257][15/63] lr: 6.0545e-04 eta: 3:21:24 time: 0.5155 data_time: 0.0247 memory: 12277 loss_text: 0.0529 loss_kernel: 0.0330 loss_embedding: 0.0096 loss: 0.0955 2022/08/26 17:31:42 - mmengine - INFO - Epoch(train) [257][20/63] lr: 6.0545e-04 eta: 3:21:18 time: 0.5387 data_time: 0.0226 memory: 12277 loss_text: 0.0541 loss_kernel: 0.0319 loss_embedding: 0.0105 loss: 0.0964 2022/08/26 17:31:44 - mmengine - INFO - Epoch(train) [257][25/63] lr: 6.0545e-04 eta: 3:21:18 time: 0.5498 data_time: 0.0229 memory: 12277 loss_text: 0.0533 loss_kernel: 0.0311 loss_embedding: 0.0099 loss: 0.0943 2022/08/26 17:31:47 - mmengine - INFO - Epoch(train) [257][30/63] lr: 6.0545e-04 eta: 3:21:12 time: 0.5241 data_time: 0.0243 memory: 12277 loss_text: 0.0486 loss_kernel: 0.0314 loss_embedding: 0.0101 loss: 0.0901 2022/08/26 17:31:50 - mmengine - INFO - Epoch(train) [257][35/63] lr: 6.0545e-04 eta: 3:21:12 time: 0.5480 data_time: 0.0285 memory: 12277 loss_text: 0.0575 loss_kernel: 0.0349 loss_embedding: 0.0114 loss: 0.1038 2022/08/26 17:31:53 - mmengine - INFO - Epoch(train) [257][40/63] lr: 6.0545e-04 eta: 3:21:08 time: 0.6109 data_time: 0.0283 memory: 12277 loss_text: 0.0610 loss_kernel: 0.0353 loss_embedding: 0.0107 loss: 0.1071 2022/08/26 17:31:56 - mmengine - INFO - Epoch(train) [257][45/63] lr: 6.0545e-04 eta: 3:21:08 time: 0.5916 data_time: 0.0276 memory: 12277 loss_text: 0.0597 loss_kernel: 0.0340 loss_embedding: 0.0089 loss: 0.1026 2022/08/26 17:31:58 - mmengine - INFO - Epoch(train) [257][50/63] lr: 6.0545e-04 eta: 3:21:02 time: 0.5318 data_time: 0.0274 memory: 12277 loss_text: 0.0595 loss_kernel: 0.0342 loss_embedding: 0.0115 loss: 0.1052 2022/08/26 17:32:01 - mmengine - INFO - Epoch(train) [257][55/63] lr: 6.0545e-04 eta: 3:21:02 time: 0.5311 data_time: 0.0255 memory: 12277 loss_text: 0.0604 loss_kernel: 0.0357 loss_embedding: 0.0142 loss: 0.1103 2022/08/26 17:32:04 - mmengine - INFO - Epoch(train) [257][60/63] lr: 6.0545e-04 eta: 3:20:56 time: 0.5214 data_time: 0.0227 memory: 12277 loss_text: 0.0594 loss_kernel: 0.0356 loss_embedding: 0.0138 loss: 0.1088 2022/08/26 17:32:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:32:09 - mmengine - INFO - Epoch(train) [258][5/63] lr: 6.0386e-04 eta: 3:20:56 time: 0.6342 data_time: 0.1676 memory: 12277 loss_text: 0.0583 loss_kernel: 0.0327 loss_embedding: 0.0123 loss: 0.1034 2022/08/26 17:32:12 - mmengine - INFO - Epoch(train) [258][10/63] lr: 6.0386e-04 eta: 3:20:48 time: 0.7037 data_time: 0.1890 memory: 12277 loss_text: 0.0561 loss_kernel: 0.0330 loss_embedding: 0.0116 loss: 0.1007 2022/08/26 17:32:15 - mmengine - INFO - Epoch(train) [258][15/63] lr: 6.0386e-04 eta: 3:20:48 time: 0.5781 data_time: 0.0450 memory: 12277 loss_text: 0.0586 loss_kernel: 0.0326 loss_embedding: 0.0116 loss: 0.1027 2022/08/26 17:32:17 - mmengine - INFO - Epoch(train) [258][20/63] lr: 6.0386e-04 eta: 3:20:42 time: 0.5447 data_time: 0.0286 memory: 12277 loss_text: 0.0636 loss_kernel: 0.0339 loss_embedding: 0.0125 loss: 0.1100 2022/08/26 17:32:20 - mmengine - INFO - Epoch(train) [258][25/63] lr: 6.0386e-04 eta: 3:20:42 time: 0.5437 data_time: 0.0269 memory: 12277 loss_text: 0.0560 loss_kernel: 0.0325 loss_embedding: 0.0111 loss: 0.0997 2022/08/26 17:32:23 - mmengine - INFO - Epoch(train) [258][30/63] lr: 6.0386e-04 eta: 3:20:37 time: 0.5776 data_time: 0.0349 memory: 12277 loss_text: 0.0606 loss_kernel: 0.0360 loss_embedding: 0.0107 loss: 0.1073 2022/08/26 17:32:26 - mmengine - INFO - Epoch(train) [258][35/63] lr: 6.0386e-04 eta: 3:20:37 time: 0.5788 data_time: 0.0382 memory: 12277 loss_text: 0.0749 loss_kernel: 0.0412 loss_embedding: 0.0117 loss: 0.1278 2022/08/26 17:32:28 - mmengine - INFO - Epoch(train) [258][40/63] lr: 6.0386e-04 eta: 3:20:31 time: 0.5287 data_time: 0.0264 memory: 12277 loss_text: 0.0642 loss_kernel: 0.0367 loss_embedding: 0.0113 loss: 0.1121 2022/08/26 17:32:31 - mmengine - INFO - Epoch(train) [258][45/63] lr: 6.0386e-04 eta: 3:20:31 time: 0.5268 data_time: 0.0226 memory: 12277 loss_text: 0.0677 loss_kernel: 0.0328 loss_embedding: 0.0129 loss: 0.1134 2022/08/26 17:32:34 - mmengine - INFO - Epoch(train) [258][50/63] lr: 6.0386e-04 eta: 3:20:25 time: 0.5641 data_time: 0.0272 memory: 12277 loss_text: 0.0722 loss_kernel: 0.0340 loss_embedding: 0.0138 loss: 0.1200 2022/08/26 17:32:37 - mmengine - INFO - Epoch(train) [258][55/63] lr: 6.0386e-04 eta: 3:20:25 time: 0.5703 data_time: 0.0282 memory: 12277 loss_text: 0.0604 loss_kernel: 0.0347 loss_embedding: 0.0126 loss: 0.1078 2022/08/26 17:32:39 - mmengine - INFO - Epoch(train) [258][60/63] lr: 6.0386e-04 eta: 3:20:20 time: 0.5403 data_time: 0.0243 memory: 12277 loss_text: 0.0553 loss_kernel: 0.0334 loss_embedding: 0.0139 loss: 0.1026 2022/08/26 17:32:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:32:46 - mmengine - INFO - Epoch(train) [259][5/63] lr: 6.0227e-04 eta: 3:20:20 time: 0.7300 data_time: 0.2330 memory: 12277 loss_text: 0.0647 loss_kernel: 0.0396 loss_embedding: 0.0125 loss: 0.1167 2022/08/26 17:32:48 - mmengine - INFO - Epoch(train) [259][10/63] lr: 6.0227e-04 eta: 3:20:12 time: 0.7116 data_time: 0.2150 memory: 12277 loss_text: 0.0635 loss_kernel: 0.0394 loss_embedding: 0.0135 loss: 0.1164 2022/08/26 17:32:51 - mmengine - INFO - Epoch(train) [259][15/63] lr: 6.0227e-04 eta: 3:20:12 time: 0.5252 data_time: 0.0277 memory: 12277 loss_text: 0.0617 loss_kernel: 0.0406 loss_embedding: 0.0128 loss: 0.1151 2022/08/26 17:32:54 - mmengine - INFO - Epoch(train) [259][20/63] lr: 6.0227e-04 eta: 3:20:06 time: 0.5201 data_time: 0.0214 memory: 12277 loss_text: 0.0555 loss_kernel: 0.0383 loss_embedding: 0.0126 loss: 0.1064 2022/08/26 17:32:56 - mmengine - INFO - Epoch(train) [259][25/63] lr: 6.0227e-04 eta: 3:20:06 time: 0.5332 data_time: 0.0232 memory: 12277 loss_text: 0.0499 loss_kernel: 0.0326 loss_embedding: 0.0119 loss: 0.0945 2022/08/26 17:33:00 - mmengine - INFO - Epoch(train) [259][30/63] lr: 6.0227e-04 eta: 3:20:01 time: 0.6095 data_time: 0.0369 memory: 12277 loss_text: 0.0557 loss_kernel: 0.0347 loss_embedding: 0.0104 loss: 0.1008 2022/08/26 17:33:03 - mmengine - INFO - Epoch(train) [259][35/63] lr: 6.0227e-04 eta: 3:20:01 time: 0.6222 data_time: 0.0382 memory: 12277 loss_text: 0.0545 loss_kernel: 0.0353 loss_embedding: 0.0095 loss: 0.0994 2022/08/26 17:33:05 - mmengine - INFO - Epoch(train) [259][40/63] lr: 6.0227e-04 eta: 3:19:56 time: 0.5428 data_time: 0.0227 memory: 12277 loss_text: 0.0466 loss_kernel: 0.0336 loss_embedding: 0.0098 loss: 0.0900 2022/08/26 17:33:08 - mmengine - INFO - Epoch(train) [259][45/63] lr: 6.0227e-04 eta: 3:19:56 time: 0.5198 data_time: 0.0237 memory: 12277 loss_text: 0.0455 loss_kernel: 0.0326 loss_embedding: 0.0099 loss: 0.0880 2022/08/26 17:33:11 - mmengine - INFO - Epoch(train) [259][50/63] lr: 6.0227e-04 eta: 3:19:51 time: 0.6092 data_time: 0.0446 memory: 12277 loss_text: 0.0549 loss_kernel: 0.0346 loss_embedding: 0.0093 loss: 0.0987 2022/08/26 17:33:14 - mmengine - INFO - Epoch(train) [259][55/63] lr: 6.0227e-04 eta: 3:19:51 time: 0.6187 data_time: 0.0460 memory: 12277 loss_text: 0.0584 loss_kernel: 0.0354 loss_embedding: 0.0097 loss: 0.1035 2022/08/26 17:33:17 - mmengine - INFO - Epoch(train) [259][60/63] lr: 6.0227e-04 eta: 3:19:45 time: 0.5454 data_time: 0.0290 memory: 12277 loss_text: 0.0483 loss_kernel: 0.0307 loss_embedding: 0.0090 loss: 0.0879 2022/08/26 17:33:18 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:33:23 - mmengine - INFO - Epoch(train) [260][5/63] lr: 6.0069e-04 eta: 3:19:45 time: 0.6899 data_time: 0.1850 memory: 12277 loss_text: 0.0552 loss_kernel: 0.0383 loss_embedding: 0.0094 loss: 0.1029 2022/08/26 17:33:25 - mmengine - INFO - Epoch(train) [260][10/63] lr: 6.0069e-04 eta: 3:19:38 time: 0.7280 data_time: 0.1929 memory: 12277 loss_text: 0.0572 loss_kernel: 0.0373 loss_embedding: 0.0105 loss: 0.1050 2022/08/26 17:33:28 - mmengine - INFO - Epoch(train) [260][15/63] lr: 6.0069e-04 eta: 3:19:38 time: 0.5246 data_time: 0.0279 memory: 12277 loss_text: 0.0568 loss_kernel: 0.0363 loss_embedding: 0.0094 loss: 0.1025 2022/08/26 17:33:31 - mmengine - INFO - Epoch(train) [260][20/63] lr: 6.0069e-04 eta: 3:19:32 time: 0.5249 data_time: 0.0198 memory: 12277 loss_text: 0.0559 loss_kernel: 0.0332 loss_embedding: 0.0082 loss: 0.0973 2022/08/26 17:33:33 - mmengine - INFO - Epoch(train) [260][25/63] lr: 6.0069e-04 eta: 3:19:32 time: 0.5319 data_time: 0.0228 memory: 12277 loss_text: 0.0542 loss_kernel: 0.0301 loss_embedding: 0.0087 loss: 0.0930 2022/08/26 17:33:36 - mmengine - INFO - Epoch(train) [260][30/63] lr: 6.0069e-04 eta: 3:19:26 time: 0.5634 data_time: 0.0477 memory: 12277 loss_text: 0.0515 loss_kernel: 0.0310 loss_embedding: 0.0099 loss: 0.0923 2022/08/26 17:33:39 - mmengine - INFO - Epoch(train) [260][35/63] lr: 6.0069e-04 eta: 3:19:26 time: 0.5884 data_time: 0.0469 memory: 12277 loss_text: 0.0489 loss_kernel: 0.0323 loss_embedding: 0.0104 loss: 0.0915 2022/08/26 17:33:42 - mmengine - INFO - Epoch(train) [260][40/63] lr: 6.0069e-04 eta: 3:19:21 time: 0.5546 data_time: 0.0247 memory: 12277 loss_text: 0.0499 loss_kernel: 0.0318 loss_embedding: 0.0093 loss: 0.0910 2022/08/26 17:33:44 - mmengine - INFO - Epoch(train) [260][45/63] lr: 6.0069e-04 eta: 3:19:21 time: 0.5206 data_time: 0.0255 memory: 12277 loss_text: 0.0613 loss_kernel: 0.0375 loss_embedding: 0.0084 loss: 0.1072 2022/08/26 17:33:47 - mmengine - INFO - Epoch(train) [260][50/63] lr: 6.0069e-04 eta: 3:19:15 time: 0.5263 data_time: 0.0288 memory: 12277 loss_text: 0.0657 loss_kernel: 0.0378 loss_embedding: 0.0093 loss: 0.1128 2022/08/26 17:33:50 - mmengine - INFO - Epoch(train) [260][55/63] lr: 6.0069e-04 eta: 3:19:15 time: 0.5703 data_time: 0.0320 memory: 12277 loss_text: 0.0532 loss_kernel: 0.0323 loss_embedding: 0.0107 loss: 0.0961 2022/08/26 17:33:53 - mmengine - INFO - Epoch(train) [260][60/63] lr: 6.0069e-04 eta: 3:19:09 time: 0.5579 data_time: 0.0280 memory: 12277 loss_text: 0.0522 loss_kernel: 0.0350 loss_embedding: 0.0122 loss: 0.0993 2022/08/26 17:33:54 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:33:54 - mmengine - INFO - Saving checkpoint at 260 epochs 2022/08/26 17:33:59 - mmengine - INFO - Epoch(val) [260][5/500] eta: 3:19:09 time: 0.0299 data_time: 0.0042 memory: 12277 2022/08/26 17:33:59 - mmengine - INFO - Epoch(val) [260][10/500] eta: 0:00:16 time: 0.0343 data_time: 0.0039 memory: 497 2022/08/26 17:34:00 - mmengine - INFO - Epoch(val) [260][15/500] eta: 0:00:16 time: 0.0275 data_time: 0.0016 memory: 539 2022/08/26 17:34:00 - mmengine - INFO - Epoch(val) [260][20/500] eta: 0:00:13 time: 0.0274 data_time: 0.0019 memory: 497 2022/08/26 17:34:00 - mmengine - INFO - Epoch(val) [260][25/500] eta: 0:00:13 time: 0.0247 data_time: 0.0018 memory: 505 2022/08/26 17:34:00 - mmengine - INFO - Epoch(val) [260][30/500] eta: 0:00:09 time: 0.0195 data_time: 0.0016 memory: 516 2022/08/26 17:34:00 - mmengine - INFO - Epoch(val) [260][35/500] eta: 0:00:09 time: 0.0196 data_time: 0.0016 memory: 497 2022/08/26 17:34:00 - mmengine - INFO - Epoch(val) [260][40/500] eta: 0:00:09 time: 0.0199 data_time: 0.0017 memory: 497 2022/08/26 17:34:00 - mmengine - INFO - Epoch(val) [260][45/500] eta: 0:00:09 time: 0.0306 data_time: 0.0135 memory: 480 2022/08/26 17:34:00 - mmengine - INFO - Epoch(val) [260][50/500] eta: 0:00:15 time: 0.0333 data_time: 0.0130 memory: 539 2022/08/26 17:34:01 - mmengine - INFO - Epoch(val) [260][55/500] eta: 0:00:15 time: 0.0241 data_time: 0.0013 memory: 561 2022/08/26 17:34:01 - mmengine - INFO - Epoch(val) [260][60/500] eta: 0:00:10 time: 0.0243 data_time: 0.0018 memory: 497 2022/08/26 17:34:01 - mmengine - INFO - Epoch(val) [260][65/500] eta: 0:00:10 time: 0.0241 data_time: 0.0018 memory: 597 2022/08/26 17:34:01 - mmengine - INFO - Epoch(val) [260][70/500] eta: 0:00:09 time: 0.0222 data_time: 0.0018 memory: 497 2022/08/26 17:34:01 - mmengine - INFO - Epoch(val) [260][75/500] eta: 0:00:09 time: 0.0241 data_time: 0.0020 memory: 556 2022/08/26 17:34:01 - mmengine - INFO - Epoch(val) [260][80/500] eta: 0:00:09 time: 0.0226 data_time: 0.0018 memory: 497 2022/08/26 17:34:01 - mmengine - INFO - Epoch(val) [260][85/500] eta: 0:00:09 time: 0.0242 data_time: 0.0019 memory: 564 2022/08/26 17:34:01 - mmengine - INFO - Epoch(val) [260][90/500] eta: 0:00:10 time: 0.0256 data_time: 0.0018 memory: 522 2022/08/26 17:34:01 - mmengine - INFO - Epoch(val) [260][95/500] eta: 0:00:10 time: 0.0231 data_time: 0.0016 memory: 756 2022/08/26 17:34:02 - mmengine - INFO - Epoch(val) [260][100/500] eta: 0:00:08 time: 0.0220 data_time: 0.0016 memory: 572 2022/08/26 17:34:02 - mmengine - INFO - Epoch(val) [260][105/500] eta: 0:00:08 time: 0.0196 data_time: 0.0014 memory: 539 2022/08/26 17:34:02 - mmengine - INFO - Epoch(val) [260][110/500] eta: 0:00:07 time: 0.0189 data_time: 0.0014 memory: 497 2022/08/26 17:34:02 - mmengine - INFO - Epoch(val) [260][115/500] eta: 0:00:07 time: 0.0180 data_time: 0.0015 memory: 497 2022/08/26 17:34:02 - mmengine - INFO - Epoch(val) [260][120/500] eta: 0:00:09 time: 0.0244 data_time: 0.0016 memory: 530 2022/08/26 17:34:02 - mmengine - INFO - Epoch(val) [260][125/500] eta: 0:00:09 time: 0.0284 data_time: 0.0015 memory: 497 2022/08/26 17:34:02 - mmengine - INFO - Epoch(val) [260][130/500] eta: 0:00:10 time: 0.0273 data_time: 0.0015 memory: 539 2022/08/26 17:34:02 - mmengine - INFO - Epoch(val) [260][135/500] eta: 0:00:10 time: 0.0230 data_time: 0.0016 memory: 497 2022/08/26 17:34:02 - mmengine - INFO - Epoch(val) [260][140/500] eta: 0:00:07 time: 0.0197 data_time: 0.0015 memory: 480 2022/08/26 17:34:03 - mmengine - INFO - Epoch(val) [260][145/500] eta: 0:00:07 time: 0.0203 data_time: 0.0015 memory: 751 2022/08/26 17:34:03 - mmengine - INFO - Epoch(val) [260][150/500] eta: 0:00:08 time: 0.0256 data_time: 0.0069 memory: 464 2022/08/26 17:34:03 - mmengine - INFO - Epoch(val) [260][155/500] eta: 0:00:08 time: 0.0256 data_time: 0.0066 memory: 516 2022/08/26 17:34:03 - mmengine - INFO - Epoch(val) [260][160/500] eta: 0:00:06 time: 0.0197 data_time: 0.0011 memory: 539 2022/08/26 17:34:03 - mmengine - INFO - Epoch(val) [260][165/500] eta: 0:00:06 time: 0.0202 data_time: 0.0016 memory: 497 2022/08/26 17:34:03 - mmengine - INFO - Epoch(val) [260][170/500] eta: 0:00:07 time: 0.0226 data_time: 0.0020 memory: 514 2022/08/26 17:34:03 - mmengine - INFO - Epoch(val) [260][175/500] eta: 0:00:07 time: 0.0207 data_time: 0.0021 memory: 539 2022/08/26 17:34:03 - mmengine - INFO - Epoch(val) [260][180/500] eta: 0:00:05 time: 0.0186 data_time: 0.0024 memory: 539 2022/08/26 17:34:03 - mmengine - INFO - Epoch(val) [260][185/500] eta: 0:00:05 time: 0.0184 data_time: 0.0022 memory: 489 2022/08/26 17:34:04 - mmengine - INFO - Epoch(val) [260][190/500] eta: 0:00:08 time: 0.0261 data_time: 0.0068 memory: 516 2022/08/26 17:34:04 - mmengine - INFO - Epoch(val) [260][195/500] eta: 0:00:08 time: 0.0271 data_time: 0.0066 memory: 516 2022/08/26 17:34:04 - mmengine - INFO - Epoch(val) [260][200/500] eta: 0:00:05 time: 0.0192 data_time: 0.0013 memory: 516 2022/08/26 17:34:04 - mmengine - INFO - Epoch(val) [260][205/500] eta: 0:00:05 time: 0.0217 data_time: 0.0017 memory: 664 2022/08/26 17:34:04 - mmengine - INFO - Epoch(val) [260][210/500] eta: 0:00:06 time: 0.0215 data_time: 0.0018 memory: 497 2022/08/26 17:34:04 - mmengine - INFO - Epoch(val) [260][215/500] eta: 0:00:06 time: 0.0192 data_time: 0.0016 memory: 514 2022/08/26 17:34:04 - mmengine - INFO - Epoch(val) [260][220/500] eta: 0:00:05 time: 0.0192 data_time: 0.0016 memory: 572 2022/08/26 17:34:04 - mmengine - INFO - Epoch(val) [260][225/500] eta: 0:00:05 time: 0.0217 data_time: 0.0017 memory: 497 2022/08/26 17:34:05 - mmengine - INFO - Epoch(val) [260][230/500] eta: 0:00:08 time: 0.0314 data_time: 0.0019 memory: 507 2022/08/26 17:34:05 - mmengine - INFO - Epoch(val) [260][235/500] eta: 0:00:08 time: 0.0286 data_time: 0.0017 memory: 497 2022/08/26 17:34:05 - mmengine - INFO - Epoch(val) [260][240/500] eta: 0:00:05 time: 0.0194 data_time: 0.0014 memory: 497 2022/08/26 17:34:05 - mmengine - INFO - Epoch(val) [260][245/500] eta: 0:00:05 time: 0.0206 data_time: 0.0015 memory: 648 2022/08/26 17:34:05 - mmengine - INFO - Epoch(val) [260][250/500] eta: 0:00:05 time: 0.0207 data_time: 0.0015 memory: 497 2022/08/26 17:34:05 - mmengine - INFO - Epoch(val) [260][255/500] eta: 0:00:05 time: 0.0371 data_time: 0.0015 memory: 543 2022/08/26 17:34:05 - mmengine - INFO - Epoch(val) [260][260/500] eta: 0:00:08 time: 0.0361 data_time: 0.0016 memory: 516 2022/08/26 17:34:05 - mmengine - INFO - Epoch(val) [260][265/500] eta: 0:00:08 time: 0.0192 data_time: 0.0015 memory: 622 2022/08/26 17:34:05 - mmengine - INFO - Epoch(val) [260][270/500] eta: 0:00:04 time: 0.0197 data_time: 0.0014 memory: 505 2022/08/26 17:34:06 - mmengine - INFO - Epoch(val) [260][275/500] eta: 0:00:04 time: 0.0225 data_time: 0.0016 memory: 539 2022/08/26 17:34:06 - mmengine - INFO - Epoch(val) [260][280/500] eta: 0:00:04 time: 0.0207 data_time: 0.0017 memory: 473 2022/08/26 17:34:06 - mmengine - INFO - Epoch(val) [260][285/500] eta: 0:00:04 time: 0.0173 data_time: 0.0016 memory: 481 2022/08/26 17:34:06 - mmengine - INFO - Epoch(val) [260][290/500] eta: 0:00:03 time: 0.0181 data_time: 0.0015 memory: 464 2022/08/26 17:34:06 - mmengine - INFO - Epoch(val) [260][295/500] eta: 0:00:03 time: 0.0695 data_time: 0.0037 memory: 489 2022/08/26 17:34:07 - mmengine - INFO - Epoch(val) [260][300/500] eta: 0:00:14 time: 0.0713 data_time: 0.0045 memory: 497 2022/08/26 17:34:07 - mmengine - INFO - Epoch(val) [260][305/500] eta: 0:00:14 time: 0.0192 data_time: 0.0022 memory: 597 2022/08/26 17:34:07 - mmengine - INFO - Epoch(val) [260][310/500] eta: 0:00:03 time: 0.0182 data_time: 0.0017 memory: 606 2022/08/26 17:34:07 - mmengine - INFO - Epoch(val) [260][315/500] eta: 0:00:03 time: 0.0207 data_time: 0.0017 memory: 539 2022/08/26 17:34:07 - mmengine - INFO - Epoch(val) [260][320/500] eta: 0:00:04 time: 0.0253 data_time: 0.0033 memory: 499 2022/08/26 17:34:07 - mmengine - INFO - Epoch(val) [260][325/500] eta: 0:00:04 time: 0.0244 data_time: 0.0035 memory: 497 2022/08/26 17:34:07 - mmengine - INFO - Epoch(val) [260][330/500] eta: 0:00:03 time: 0.0210 data_time: 0.0021 memory: 497 2022/08/26 17:34:07 - mmengine - INFO - Epoch(val) [260][335/500] eta: 0:00:03 time: 0.0216 data_time: 0.0020 memory: 497 2022/08/26 17:34:07 - mmengine - INFO - Epoch(val) [260][340/500] eta: 0:00:03 time: 0.0222 data_time: 0.0021 memory: 522 2022/08/26 17:34:08 - mmengine - INFO - Epoch(val) [260][345/500] eta: 0:00:03 time: 0.0231 data_time: 0.0020 memory: 572 2022/08/26 17:34:08 - mmengine - INFO - Epoch(val) [260][350/500] eta: 0:00:03 time: 0.0230 data_time: 0.0018 memory: 499 2022/08/26 17:34:08 - mmengine - INFO - Epoch(val) [260][355/500] eta: 0:00:03 time: 0.0249 data_time: 0.0015 memory: 525 2022/08/26 17:34:08 - mmengine - INFO - Epoch(val) [260][360/500] eta: 0:00:03 time: 0.0232 data_time: 0.0015 memory: 525 2022/08/26 17:34:08 - mmengine - INFO - Epoch(val) [260][365/500] eta: 0:00:03 time: 0.0218 data_time: 0.0016 memory: 707 2022/08/26 17:34:08 - mmengine - INFO - Epoch(val) [260][370/500] eta: 0:00:02 time: 0.0215 data_time: 0.0019 memory: 539 2022/08/26 17:34:08 - mmengine - INFO - Epoch(val) [260][375/500] eta: 0:00:02 time: 0.0207 data_time: 0.0022 memory: 765 2022/08/26 17:34:08 - mmengine - INFO - Epoch(val) [260][380/500] eta: 0:00:02 time: 0.0226 data_time: 0.0019 memory: 572 2022/08/26 17:34:08 - mmengine - INFO - Epoch(val) [260][385/500] eta: 0:00:02 time: 0.0215 data_time: 0.0017 memory: 497 2022/08/26 17:34:09 - mmengine - INFO - Epoch(val) [260][390/500] eta: 0:00:02 time: 0.0204 data_time: 0.0018 memory: 539 2022/08/26 17:34:09 - mmengine - INFO - Epoch(val) [260][395/500] eta: 0:00:02 time: 0.0317 data_time: 0.0018 memory: 489 2022/08/26 17:34:09 - mmengine - INFO - Epoch(val) [260][400/500] eta: 0:00:03 time: 0.0323 data_time: 0.0019 memory: 497 2022/08/26 17:34:09 - mmengine - INFO - Epoch(val) [260][405/500] eta: 0:00:03 time: 0.0207 data_time: 0.0018 memory: 497 2022/08/26 17:34:09 - mmengine - INFO - Epoch(val) [260][410/500] eta: 0:00:01 time: 0.0206 data_time: 0.0017 memory: 497 2022/08/26 17:34:09 - mmengine - INFO - Epoch(val) [260][415/500] eta: 0:00:01 time: 0.0216 data_time: 0.0017 memory: 497 2022/08/26 17:34:09 - mmengine - INFO - Epoch(val) [260][420/500] eta: 0:00:02 time: 0.0281 data_time: 0.0018 memory: 497 2022/08/26 17:34:10 - mmengine - INFO - Epoch(val) [260][425/500] eta: 0:00:02 time: 0.0318 data_time: 0.0021 memory: 489 2022/08/26 17:34:10 - mmengine - INFO - Epoch(val) [260][430/500] eta: 0:00:01 time: 0.0279 data_time: 0.0023 memory: 516 2022/08/26 17:34:10 - mmengine - INFO - Epoch(val) [260][435/500] eta: 0:00:01 time: 0.0256 data_time: 0.0021 memory: 681 2022/08/26 17:34:10 - mmengine - INFO - Epoch(val) [260][440/500] eta: 0:00:01 time: 0.0257 data_time: 0.0019 memory: 539 2022/08/26 17:34:10 - mmengine - INFO - Epoch(val) [260][445/500] eta: 0:00:01 time: 0.0225 data_time: 0.0018 memory: 489 2022/08/26 17:34:10 - mmengine - INFO - Epoch(val) [260][450/500] eta: 0:00:00 time: 0.0196 data_time: 0.0017 memory: 507 2022/08/26 17:34:11 - mmengine - INFO - Epoch(val) [260][455/500] eta: 0:00:00 time: 0.0990 data_time: 0.0287 memory: 606 2022/08/26 17:34:11 - mmengine - INFO - Epoch(val) [260][460/500] eta: 0:00:04 time: 0.1124 data_time: 0.0379 memory: 499 2022/08/26 17:34:11 - mmengine - INFO - Epoch(val) [260][465/500] eta: 0:00:04 time: 0.0340 data_time: 0.0110 memory: 539 2022/08/26 17:34:11 - mmengine - INFO - Epoch(val) [260][470/500] eta: 0:00:00 time: 0.0185 data_time: 0.0018 memory: 516 2022/08/26 17:34:11 - mmengine - INFO - Epoch(val) [260][475/500] eta: 0:00:00 time: 0.0172 data_time: 0.0016 memory: 507 2022/08/26 17:34:12 - mmengine - INFO - Epoch(val) [260][480/500] eta: 0:00:00 time: 0.0175 data_time: 0.0015 memory: 464 2022/08/26 17:34:12 - mmengine - INFO - Epoch(val) [260][485/500] eta: 0:00:00 time: 0.0251 data_time: 0.0081 memory: 497 2022/08/26 17:34:12 - mmengine - INFO - Epoch(val) [260][490/500] eta: 0:00:00 time: 0.0249 data_time: 0.0078 memory: 497 2022/08/26 17:34:12 - mmengine - INFO - Epoch(val) [260][495/500] eta: 0:00:00 time: 0.0175 data_time: 0.0013 memory: 480 2022/08/26 17:34:12 - mmengine - INFO - Epoch(val) [260][500/500] eta: 0:00:00 time: 0.0268 data_time: 0.0102 memory: 522 2022/08/26 17:34:12 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 17:34:12 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7701, precision: 0.6607, hmean: 0.7112 2022/08/26 17:34:12 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7701, precision: 0.6607, hmean: 0.7112 2022/08/26 17:34:12 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7701, precision: 0.6607, hmean: 0.7112 2022/08/26 17:34:12 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7701, precision: 0.6607, hmean: 0.7112 2022/08/26 17:34:12 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7701, precision: 0.6607, hmean: 0.7112 2022/08/26 17:34:12 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7701, precision: 0.6616, hmean: 0.7118 2022/08/26 17:34:12 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7701, precision: 0.6712, hmean: 0.7172 2022/08/26 17:34:12 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7694, precision: 0.6884, hmean: 0.7267 2022/08/26 17:34:12 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7675, precision: 0.7128, hmean: 0.7391 2022/08/26 17:34:12 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7649, precision: 0.7359, hmean: 0.7501 2022/08/26 17:34:12 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7603, precision: 0.7638, hmean: 0.7621 2022/08/26 17:34:12 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7509, precision: 0.7848, hmean: 0.7675 2022/08/26 17:34:12 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7207, precision: 0.8126, hmean: 0.7639 2022/08/26 17:34:12 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.5083, precision: 0.8536, hmean: 0.6372 2022/08/26 17:34:12 - mmengine - INFO - Epoch(val) [260][500/500] icdar/precision: 0.7848 icdar/recall: 0.7509 icdar/hmean: 0.7675 2022/08/26 17:34:17 - mmengine - INFO - Epoch(train) [261][5/63] lr: 5.9909e-04 eta: 0:00:00 time: 0.6686 data_time: 0.1868 memory: 12277 loss_text: 0.0689 loss_kernel: 0.0430 loss_embedding: 0.0142 loss: 0.1260 2022/08/26 17:34:19 - mmengine - INFO - Epoch(train) [261][10/63] lr: 5.9909e-04 eta: 3:19:01 time: 0.7061 data_time: 0.1938 memory: 12277 loss_text: 0.0647 loss_kernel: 0.0400 loss_embedding: 0.0118 loss: 0.1165 2022/08/26 17:34:22 - mmengine - INFO - Epoch(train) [261][15/63] lr: 5.9909e-04 eta: 3:19:01 time: 0.5522 data_time: 0.0306 memory: 12277 loss_text: 0.0622 loss_kernel: 0.0373 loss_embedding: 0.0117 loss: 0.1112 2022/08/26 17:34:25 - mmengine - INFO - Epoch(train) [261][20/63] lr: 5.9909e-04 eta: 3:18:56 time: 0.5760 data_time: 0.0396 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0322 loss_embedding: 0.0124 loss: 0.1012 2022/08/26 17:34:28 - mmengine - INFO - Epoch(train) [261][25/63] lr: 5.9909e-04 eta: 3:18:56 time: 0.6279 data_time: 0.0754 memory: 12277 loss_text: 0.0526 loss_kernel: 0.0341 loss_embedding: 0.0119 loss: 0.0986 2022/08/26 17:34:32 - mmengine - INFO - Epoch(train) [261][30/63] lr: 5.9909e-04 eta: 3:18:52 time: 0.6724 data_time: 0.0680 memory: 12277 loss_text: 0.0510 loss_kernel: 0.0339 loss_embedding: 0.0111 loss: 0.0960 2022/08/26 17:34:35 - mmengine - INFO - Epoch(train) [261][35/63] lr: 5.9909e-04 eta: 3:18:52 time: 0.6152 data_time: 0.0350 memory: 12277 loss_text: 0.0548 loss_kernel: 0.0345 loss_embedding: 0.0099 loss: 0.0993 2022/08/26 17:34:37 - mmengine - INFO - Epoch(train) [261][40/63] lr: 5.9909e-04 eta: 3:18:46 time: 0.5472 data_time: 0.0309 memory: 12277 loss_text: 0.0536 loss_kernel: 0.0340 loss_embedding: 0.0089 loss: 0.0964 2022/08/26 17:34:40 - mmengine - INFO - Epoch(train) [261][45/63] lr: 5.9909e-04 eta: 3:18:46 time: 0.5624 data_time: 0.0325 memory: 12277 loss_text: 0.0637 loss_kernel: 0.0360 loss_embedding: 0.0103 loss: 0.1100 2022/08/26 17:34:43 - mmengine - INFO - Epoch(train) [261][50/63] lr: 5.9909e-04 eta: 3:18:41 time: 0.5767 data_time: 0.0393 memory: 12277 loss_text: 0.0651 loss_kernel: 0.0375 loss_embedding: 0.0108 loss: 0.1134 2022/08/26 17:34:46 - mmengine - INFO - Epoch(train) [261][55/63] lr: 5.9909e-04 eta: 3:18:41 time: 0.5627 data_time: 0.0401 memory: 12277 loss_text: 0.0473 loss_kernel: 0.0314 loss_embedding: 0.0106 loss: 0.0893 2022/08/26 17:34:49 - mmengine - INFO - Epoch(train) [261][60/63] lr: 5.9909e-04 eta: 3:18:35 time: 0.5536 data_time: 0.0294 memory: 12277 loss_text: 0.0471 loss_kernel: 0.0314 loss_embedding: 0.0105 loss: 0.0890 2022/08/26 17:34:50 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:34:55 - mmengine - INFO - Epoch(train) [262][5/63] lr: 5.9750e-04 eta: 3:18:35 time: 0.7289 data_time: 0.2181 memory: 12277 loss_text: 0.0527 loss_kernel: 0.0350 loss_embedding: 0.0104 loss: 0.0981 2022/08/26 17:34:58 - mmengine - INFO - Epoch(train) [262][10/63] lr: 5.9750e-04 eta: 3:18:29 time: 0.7778 data_time: 0.2200 memory: 12277 loss_text: 0.0467 loss_kernel: 0.0312 loss_embedding: 0.0123 loss: 0.0902 2022/08/26 17:35:00 - mmengine - INFO - Epoch(train) [262][15/63] lr: 5.9750e-04 eta: 3:18:29 time: 0.5402 data_time: 0.0256 memory: 12277 loss_text: 0.0537 loss_kernel: 0.0354 loss_embedding: 0.0106 loss: 0.0997 2022/08/26 17:35:04 - mmengine - INFO - Epoch(train) [262][20/63] lr: 5.9750e-04 eta: 3:18:24 time: 0.6172 data_time: 0.0275 memory: 12277 loss_text: 0.0677 loss_kernel: 0.0416 loss_embedding: 0.0102 loss: 0.1195 2022/08/26 17:35:07 - mmengine - INFO - Epoch(train) [262][25/63] lr: 5.9750e-04 eta: 3:18:24 time: 0.6332 data_time: 0.0274 memory: 12277 loss_text: 0.0610 loss_kernel: 0.0390 loss_embedding: 0.0118 loss: 0.1118 2022/08/26 17:35:20 - mmengine - INFO - Epoch(train) [262][30/63] lr: 5.9750e-04 eta: 3:18:32 time: 1.6357 data_time: 0.9952 memory: 12277 loss_text: 0.0564 loss_kernel: 0.0382 loss_embedding: 0.0112 loss: 0.1058 2022/08/26 17:35:24 - mmengine - INFO - Epoch(train) [262][35/63] lr: 5.9750e-04 eta: 3:18:32 time: 1.7107 data_time: 1.0803 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0375 loss_embedding: 0.0103 loss: 0.1044 2022/08/26 17:35:27 - mmengine - INFO - Epoch(train) [262][40/63] lr: 5.9750e-04 eta: 3:18:28 time: 0.6397 data_time: 0.1264 memory: 12277 loss_text: 0.0511 loss_kernel: 0.0341 loss_embedding: 0.0113 loss: 0.0965 2022/08/26 17:35:30 - mmengine - INFO - Epoch(train) [262][45/63] lr: 5.9750e-04 eta: 3:18:28 time: 0.5786 data_time: 0.0482 memory: 12277 loss_text: 0.0511 loss_kernel: 0.0342 loss_embedding: 0.0105 loss: 0.0958 2022/08/26 17:35:34 - mmengine - INFO - Epoch(train) [262][50/63] lr: 5.9750e-04 eta: 3:18:24 time: 0.7046 data_time: 0.1574 memory: 12277 loss_text: 0.0506 loss_kernel: 0.0316 loss_embedding: 0.0103 loss: 0.0926 2022/08/26 17:35:46 - mmengine - INFO - Epoch(train) [262][55/63] lr: 5.9750e-04 eta: 3:18:24 time: 1.6811 data_time: 1.0990 memory: 12277 loss_text: 0.0523 loss_kernel: 0.0310 loss_embedding: 0.0124 loss: 0.0957 2022/08/26 17:35:55 - mmengine - INFO - Epoch(train) [262][60/63] lr: 5.9750e-04 eta: 3:18:38 time: 2.0990 data_time: 1.5404 memory: 12277 loss_text: 0.0495 loss_kernel: 0.0315 loss_embedding: 0.0128 loss: 0.0938 2022/08/26 17:35:58 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:36:02 - mmengine - INFO - Epoch(train) [263][5/63] lr: 5.9591e-04 eta: 3:18:38 time: 0.8185 data_time: 0.3335 memory: 12277 loss_text: 0.0520 loss_kernel: 0.0339 loss_embedding: 0.0113 loss: 0.0972 2022/08/26 17:36:05 - mmengine - INFO - Epoch(train) [263][10/63] lr: 5.9591e-04 eta: 3:18:31 time: 0.7119 data_time: 0.2058 memory: 12277 loss_text: 0.0554 loss_kernel: 0.0335 loss_embedding: 0.0127 loss: 0.1016 2022/08/26 17:36:07 - mmengine - INFO - Epoch(train) [263][15/63] lr: 5.9591e-04 eta: 3:18:31 time: 0.5482 data_time: 0.0453 memory: 12277 loss_text: 0.0582 loss_kernel: 0.0353 loss_embedding: 0.0114 loss: 0.1049 2022/08/26 17:36:15 - mmengine - INFO - Epoch(train) [263][20/63] lr: 5.9591e-04 eta: 3:18:31 time: 1.0133 data_time: 0.4957 memory: 12277 loss_text: 0.0570 loss_kernel: 0.0374 loss_embedding: 0.0094 loss: 0.1037 2022/08/26 17:36:21 - mmengine - INFO - Epoch(train) [263][25/63] lr: 5.9591e-04 eta: 3:18:31 time: 1.3368 data_time: 0.8202 memory: 12277 loss_text: 0.0512 loss_kernel: 0.0337 loss_embedding: 0.0086 loss: 0.0936 2022/08/26 17:36:25 - mmengine - INFO - Epoch(train) [263][30/63] lr: 5.9591e-04 eta: 3:18:31 time: 0.9919 data_time: 0.5037 memory: 12277 loss_text: 0.0503 loss_kernel: 0.0314 loss_embedding: 0.0094 loss: 0.0910 2022/08/26 17:36:28 - mmengine - INFO - Epoch(train) [263][35/63] lr: 5.9591e-04 eta: 3:18:31 time: 0.7345 data_time: 0.2675 memory: 12277 loss_text: 0.0560 loss_kernel: 0.0323 loss_embedding: 0.0102 loss: 0.0985 2022/08/26 17:36:31 - mmengine - INFO - Epoch(train) [263][40/63] lr: 5.9591e-04 eta: 3:18:26 time: 0.6286 data_time: 0.1225 memory: 12277 loss_text: 0.0505 loss_kernel: 0.0311 loss_embedding: 0.0098 loss: 0.0914 2022/08/26 17:36:34 - mmengine - INFO - Epoch(train) [263][45/63] lr: 5.9591e-04 eta: 3:18:26 time: 0.5370 data_time: 0.0230 memory: 12277 loss_text: 0.0488 loss_kernel: 0.0332 loss_embedding: 0.0089 loss: 0.0909 2022/08/26 17:36:36 - mmengine - INFO - Epoch(train) [263][50/63] lr: 5.9591e-04 eta: 3:18:20 time: 0.5189 data_time: 0.0238 memory: 12277 loss_text: 0.0502 loss_kernel: 0.0340 loss_embedding: 0.0111 loss: 0.0952 2022/08/26 17:36:39 - mmengine - INFO - Epoch(train) [263][55/63] lr: 5.9591e-04 eta: 3:18:20 time: 0.5254 data_time: 0.0238 memory: 12277 loss_text: 0.0474 loss_kernel: 0.0330 loss_embedding: 0.0102 loss: 0.0906 2022/08/26 17:36:42 - mmengine - INFO - Epoch(train) [263][60/63] lr: 5.9591e-04 eta: 3:18:14 time: 0.5406 data_time: 0.0499 memory: 12277 loss_text: 0.0601 loss_kernel: 0.0366 loss_embedding: 0.0089 loss: 0.1056 2022/08/26 17:36:43 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:36:47 - mmengine - INFO - Epoch(train) [264][5/63] lr: 5.9432e-04 eta: 3:18:14 time: 0.6881 data_time: 0.2140 memory: 12277 loss_text: 0.0579 loss_kernel: 0.0361 loss_embedding: 0.0088 loss: 0.1028 2022/08/26 17:36:50 - mmengine - INFO - Epoch(train) [264][10/63] lr: 5.9432e-04 eta: 3:18:07 time: 0.7019 data_time: 0.2018 memory: 12277 loss_text: 0.0609 loss_kernel: 0.0354 loss_embedding: 0.0101 loss: 0.1063 2022/08/26 17:36:53 - mmengine - INFO - Epoch(train) [264][15/63] lr: 5.9432e-04 eta: 3:18:07 time: 0.5610 data_time: 0.0340 memory: 12277 loss_text: 0.0737 loss_kernel: 0.0425 loss_embedding: 0.0101 loss: 0.1263 2022/08/26 17:36:56 - mmengine - INFO - Epoch(train) [264][20/63] lr: 5.9432e-04 eta: 3:18:01 time: 0.5635 data_time: 0.0345 memory: 12277 loss_text: 0.0641 loss_kernel: 0.0402 loss_embedding: 0.0108 loss: 0.1151 2022/08/26 17:36:58 - mmengine - INFO - Epoch(train) [264][25/63] lr: 5.9432e-04 eta: 3:18:01 time: 0.5479 data_time: 0.0482 memory: 12277 loss_text: 0.0473 loss_kernel: 0.0319 loss_embedding: 0.0112 loss: 0.0903 2022/08/26 17:37:01 - mmengine - INFO - Epoch(train) [264][30/63] lr: 5.9432e-04 eta: 3:17:56 time: 0.5582 data_time: 0.0538 memory: 12277 loss_text: 0.0500 loss_kernel: 0.0330 loss_embedding: 0.0088 loss: 0.0917 2022/08/26 17:37:04 - mmengine - INFO - Epoch(train) [264][35/63] lr: 5.9432e-04 eta: 3:17:56 time: 0.5390 data_time: 0.0401 memory: 12277 loss_text: 0.0504 loss_kernel: 0.0332 loss_embedding: 0.0092 loss: 0.0928 2022/08/26 17:37:06 - mmengine - INFO - Epoch(train) [264][40/63] lr: 5.9432e-04 eta: 3:17:49 time: 0.5192 data_time: 0.0353 memory: 12277 loss_text: 0.0529 loss_kernel: 0.0339 loss_embedding: 0.0113 loss: 0.0981 2022/08/26 17:37:09 - mmengine - INFO - Epoch(train) [264][45/63] lr: 5.9432e-04 eta: 3:17:49 time: 0.5169 data_time: 0.0297 memory: 12277 loss_text: 0.0518 loss_kernel: 0.0334 loss_embedding: 0.0101 loss: 0.0953 2022/08/26 17:37:15 - mmengine - INFO - Epoch(train) [264][50/63] lr: 5.9432e-04 eta: 3:17:48 time: 0.8754 data_time: 0.3116 memory: 12277 loss_text: 0.0515 loss_kernel: 0.0322 loss_embedding: 0.0091 loss: 0.0928 2022/08/26 17:37:19 - mmengine - INFO - Epoch(train) [264][55/63] lr: 5.9432e-04 eta: 3:17:48 time: 0.9768 data_time: 0.3973 memory: 12277 loss_text: 0.0600 loss_kernel: 0.0329 loss_embedding: 0.0094 loss: 0.1023 2022/08/26 17:37:29 - mmengine - INFO - Epoch(train) [264][60/63] lr: 5.9432e-04 eta: 3:17:53 time: 1.3880 data_time: 0.8781 memory: 12277 loss_text: 0.0583 loss_kernel: 0.0326 loss_embedding: 0.0109 loss: 0.1017 2022/08/26 17:37:30 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:37:35 - mmengine - INFO - Epoch(train) [265][5/63] lr: 5.9273e-04 eta: 3:17:53 time: 0.7102 data_time: 0.2328 memory: 12277 loss_text: 0.0568 loss_kernel: 0.0334 loss_embedding: 0.0119 loss: 0.1021 2022/08/26 17:37:38 - mmengine - INFO - Epoch(train) [265][10/63] lr: 5.9273e-04 eta: 3:17:46 time: 0.7392 data_time: 0.2298 memory: 12277 loss_text: 0.0537 loss_kernel: 0.0319 loss_embedding: 0.0105 loss: 0.0961 2022/08/26 17:37:40 - mmengine - INFO - Epoch(train) [265][15/63] lr: 5.9273e-04 eta: 3:17:46 time: 0.5140 data_time: 0.0267 memory: 12277 loss_text: 0.0530 loss_kernel: 0.0335 loss_embedding: 0.0103 loss: 0.0968 2022/08/26 17:37:43 - mmengine - INFO - Epoch(train) [265][20/63] lr: 5.9273e-04 eta: 3:17:40 time: 0.5253 data_time: 0.0383 memory: 12277 loss_text: 0.0603 loss_kernel: 0.0362 loss_embedding: 0.0104 loss: 0.1068 2022/08/26 17:37:46 - mmengine - INFO - Epoch(train) [265][25/63] lr: 5.9273e-04 eta: 3:17:40 time: 0.5346 data_time: 0.0353 memory: 12277 loss_text: 0.0537 loss_kernel: 0.0335 loss_embedding: 0.0101 loss: 0.0974 2022/08/26 17:37:49 - mmengine - INFO - Epoch(train) [265][30/63] lr: 5.9273e-04 eta: 3:17:34 time: 0.5819 data_time: 0.0276 memory: 12277 loss_text: 0.0491 loss_kernel: 0.0309 loss_embedding: 0.0095 loss: 0.0894 2022/08/26 17:37:52 - mmengine - INFO - Epoch(train) [265][35/63] lr: 5.9273e-04 eta: 3:17:34 time: 0.6031 data_time: 0.0320 memory: 12277 loss_text: 0.0562 loss_kernel: 0.0325 loss_embedding: 0.0109 loss: 0.0996 2022/08/26 17:37:54 - mmengine - INFO - Epoch(train) [265][40/63] lr: 5.9273e-04 eta: 3:17:28 time: 0.5484 data_time: 0.0345 memory: 12277 loss_text: 0.0620 loss_kernel: 0.0373 loss_embedding: 0.0107 loss: 0.1101 2022/08/26 17:37:57 - mmengine - INFO - Epoch(train) [265][45/63] lr: 5.9273e-04 eta: 3:17:28 time: 0.5225 data_time: 0.0310 memory: 12277 loss_text: 0.0585 loss_kernel: 0.0370 loss_embedding: 0.0097 loss: 0.1051 2022/08/26 17:38:00 - mmengine - INFO - Epoch(train) [265][50/63] lr: 5.9273e-04 eta: 3:17:22 time: 0.5304 data_time: 0.0295 memory: 12277 loss_text: 0.0505 loss_kernel: 0.0321 loss_embedding: 0.0103 loss: 0.0929 2022/08/26 17:38:03 - mmengine - INFO - Epoch(train) [265][55/63] lr: 5.9273e-04 eta: 3:17:22 time: 0.5910 data_time: 0.0540 memory: 12277 loss_text: 0.0531 loss_kernel: 0.0326 loss_embedding: 0.0110 loss: 0.0967 2022/08/26 17:38:05 - mmengine - INFO - Epoch(train) [265][60/63] lr: 5.9273e-04 eta: 3:17:17 time: 0.5738 data_time: 0.0559 memory: 12277 loss_text: 0.0638 loss_kernel: 0.0381 loss_embedding: 0.0113 loss: 0.1133 2022/08/26 17:38:07 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:38:10 - mmengine - INFO - Epoch(train) [266][5/63] lr: 5.9114e-04 eta: 3:17:17 time: 0.6220 data_time: 0.1604 memory: 12277 loss_text: 0.0653 loss_kernel: 0.0383 loss_embedding: 0.0117 loss: 0.1153 2022/08/26 17:38:14 - mmengine - INFO - Epoch(train) [266][10/63] lr: 5.9114e-04 eta: 3:17:10 time: 0.7189 data_time: 0.1736 memory: 12277 loss_text: 0.0530 loss_kernel: 0.0305 loss_embedding: 0.0121 loss: 0.0956 2022/08/26 17:38:16 - mmengine - INFO - Epoch(train) [266][15/63] lr: 5.9114e-04 eta: 3:17:10 time: 0.5897 data_time: 0.0415 memory: 12277 loss_text: 0.0488 loss_kernel: 0.0301 loss_embedding: 0.0100 loss: 0.0890 2022/08/26 17:38:20 - mmengine - INFO - Epoch(train) [266][20/63] lr: 5.9114e-04 eta: 3:17:05 time: 0.6446 data_time: 0.1538 memory: 12277 loss_text: 0.0479 loss_kernel: 0.0306 loss_embedding: 0.0087 loss: 0.0872 2022/08/26 17:38:24 - mmengine - INFO - Epoch(train) [266][25/63] lr: 5.9114e-04 eta: 3:17:05 time: 0.7255 data_time: 0.2344 memory: 12277 loss_text: 0.0485 loss_kernel: 0.0335 loss_embedding: 0.0101 loss: 0.0921 2022/08/26 17:38:26 - mmengine - INFO - Epoch(train) [266][30/63] lr: 5.9114e-04 eta: 3:17:00 time: 0.5988 data_time: 0.1068 memory: 12277 loss_text: 0.0590 loss_kernel: 0.0341 loss_embedding: 0.0131 loss: 0.1062 2022/08/26 17:38:29 - mmengine - INFO - Epoch(train) [266][35/63] lr: 5.9114e-04 eta: 3:17:00 time: 0.5269 data_time: 0.0271 memory: 12277 loss_text: 0.0618 loss_kernel: 0.0324 loss_embedding: 0.0128 loss: 0.1071 2022/08/26 17:38:32 - mmengine - INFO - Epoch(train) [266][40/63] lr: 5.9114e-04 eta: 3:16:55 time: 0.6083 data_time: 0.0365 memory: 12277 loss_text: 0.0501 loss_kernel: 0.0349 loss_embedding: 0.0106 loss: 0.0956 2022/08/26 17:38:35 - mmengine - INFO - Epoch(train) [266][45/63] lr: 5.9114e-04 eta: 3:16:55 time: 0.5957 data_time: 0.0263 memory: 12277 loss_text: 0.0467 loss_kernel: 0.0341 loss_embedding: 0.0101 loss: 0.0910 2022/08/26 17:38:37 - mmengine - INFO - Epoch(train) [266][50/63] lr: 5.9114e-04 eta: 3:16:49 time: 0.5161 data_time: 0.0216 memory: 12277 loss_text: 0.0463 loss_kernel: 0.0309 loss_embedding: 0.0113 loss: 0.0885 2022/08/26 17:38:40 - mmengine - INFO - Epoch(train) [266][55/63] lr: 5.9114e-04 eta: 3:16:49 time: 0.5242 data_time: 0.0279 memory: 12277 loss_text: 0.0465 loss_kernel: 0.0307 loss_embedding: 0.0116 loss: 0.0888 2022/08/26 17:38:43 - mmengine - INFO - Epoch(train) [266][60/63] lr: 5.9114e-04 eta: 3:16:43 time: 0.5491 data_time: 0.0293 memory: 12277 loss_text: 0.0573 loss_kernel: 0.0341 loss_embedding: 0.0104 loss: 0.1018 2022/08/26 17:38:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:38:49 - mmengine - INFO - Epoch(train) [267][5/63] lr: 5.8954e-04 eta: 3:16:43 time: 0.6716 data_time: 0.1570 memory: 12277 loss_text: 0.0491 loss_kernel: 0.0318 loss_embedding: 0.0122 loss: 0.0931 2022/08/26 17:38:51 - mmengine - INFO - Epoch(train) [267][10/63] lr: 5.8954e-04 eta: 3:16:35 time: 0.7034 data_time: 0.1640 memory: 12277 loss_text: 0.0549 loss_kernel: 0.0334 loss_embedding: 0.0116 loss: 0.0999 2022/08/26 17:38:54 - mmengine - INFO - Epoch(train) [267][15/63] lr: 5.8954e-04 eta: 3:16:35 time: 0.5287 data_time: 0.0283 memory: 12277 loss_text: 0.0550 loss_kernel: 0.0342 loss_embedding: 0.0095 loss: 0.0987 2022/08/26 17:38:57 - mmengine - INFO - Epoch(train) [267][20/63] lr: 5.8954e-04 eta: 3:16:29 time: 0.5231 data_time: 0.0238 memory: 12277 loss_text: 0.0563 loss_kernel: 0.0331 loss_embedding: 0.0095 loss: 0.0989 2022/08/26 17:38:59 - mmengine - INFO - Epoch(train) [267][25/63] lr: 5.8954e-04 eta: 3:16:29 time: 0.5479 data_time: 0.0317 memory: 12277 loss_text: 0.0530 loss_kernel: 0.0310 loss_embedding: 0.0097 loss: 0.0937 2022/08/26 17:39:02 - mmengine - INFO - Epoch(train) [267][30/63] lr: 5.8954e-04 eta: 3:16:24 time: 0.5653 data_time: 0.0430 memory: 12277 loss_text: 0.0470 loss_kernel: 0.0345 loss_embedding: 0.0095 loss: 0.0910 2022/08/26 17:39:05 - mmengine - INFO - Epoch(train) [267][35/63] lr: 5.8954e-04 eta: 3:16:24 time: 0.5559 data_time: 0.0368 memory: 12277 loss_text: 0.0606 loss_kernel: 0.0385 loss_embedding: 0.0100 loss: 0.1091 2022/08/26 17:39:07 - mmengine - INFO - Epoch(train) [267][40/63] lr: 5.8954e-04 eta: 3:16:18 time: 0.5193 data_time: 0.0282 memory: 12277 loss_text: 0.0605 loss_kernel: 0.0348 loss_embedding: 0.0091 loss: 0.1044 2022/08/26 17:39:10 - mmengine - INFO - Epoch(train) [267][45/63] lr: 5.8954e-04 eta: 3:16:18 time: 0.5151 data_time: 0.0375 memory: 12277 loss_text: 0.0489 loss_kernel: 0.0323 loss_embedding: 0.0084 loss: 0.0896 2022/08/26 17:39:13 - mmengine - INFO - Epoch(train) [267][50/63] lr: 5.8954e-04 eta: 3:16:12 time: 0.5479 data_time: 0.0353 memory: 12277 loss_text: 0.0542 loss_kernel: 0.0305 loss_embedding: 0.0094 loss: 0.0942 2022/08/26 17:39:16 - mmengine - INFO - Epoch(train) [267][55/63] lr: 5.8954e-04 eta: 3:16:12 time: 0.5425 data_time: 0.0254 memory: 12277 loss_text: 0.0688 loss_kernel: 0.0332 loss_embedding: 0.0101 loss: 0.1121 2022/08/26 17:39:18 - mmengine - INFO - Epoch(train) [267][60/63] lr: 5.8954e-04 eta: 3:16:06 time: 0.5142 data_time: 0.0254 memory: 12277 loss_text: 0.0628 loss_kernel: 0.0355 loss_embedding: 0.0103 loss: 0.1086 2022/08/26 17:39:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:39:23 - mmengine - INFO - Epoch(train) [268][5/63] lr: 5.8795e-04 eta: 3:16:06 time: 0.5965 data_time: 0.1344 memory: 12277 loss_text: 0.0579 loss_kernel: 0.0370 loss_embedding: 0.0095 loss: 0.1044 2022/08/26 17:39:26 - mmengine - INFO - Epoch(train) [268][10/63] lr: 5.8795e-04 eta: 3:15:57 time: 0.6405 data_time: 0.1463 memory: 12277 loss_text: 0.0472 loss_kernel: 0.0315 loss_embedding: 0.0085 loss: 0.0872 2022/08/26 17:39:28 - mmengine - INFO - Epoch(train) [268][15/63] lr: 5.8795e-04 eta: 3:15:57 time: 0.5187 data_time: 0.0289 memory: 12277 loss_text: 0.0479 loss_kernel: 0.0308 loss_embedding: 0.0076 loss: 0.0862 2022/08/26 17:39:31 - mmengine - INFO - Epoch(train) [268][20/63] lr: 5.8795e-04 eta: 3:15:51 time: 0.5384 data_time: 0.0232 memory: 12277 loss_text: 0.0472 loss_kernel: 0.0309 loss_embedding: 0.0098 loss: 0.0879 2022/08/26 17:39:34 - mmengine - INFO - Epoch(train) [268][25/63] lr: 5.8795e-04 eta: 3:15:51 time: 0.5721 data_time: 0.0301 memory: 12277 loss_text: 0.0524 loss_kernel: 0.0344 loss_embedding: 0.0113 loss: 0.0980 2022/08/26 17:39:37 - mmengine - INFO - Epoch(train) [268][30/63] lr: 5.8795e-04 eta: 3:15:46 time: 0.5753 data_time: 0.0397 memory: 12277 loss_text: 0.0621 loss_kernel: 0.0376 loss_embedding: 0.0114 loss: 0.1111 2022/08/26 17:39:40 - mmengine - INFO - Epoch(train) [268][35/63] lr: 5.8795e-04 eta: 3:15:46 time: 0.5670 data_time: 0.0356 memory: 12277 loss_text: 0.0595 loss_kernel: 0.0342 loss_embedding: 0.0101 loss: 0.1038 2022/08/26 17:39:43 - mmengine - INFO - Epoch(train) [268][40/63] lr: 5.8795e-04 eta: 3:15:41 time: 0.6178 data_time: 0.0292 memory: 12277 loss_text: 0.0582 loss_kernel: 0.0331 loss_embedding: 0.0084 loss: 0.0998 2022/08/26 17:39:46 - mmengine - INFO - Epoch(train) [268][45/63] lr: 5.8795e-04 eta: 3:15:41 time: 0.6190 data_time: 0.0289 memory: 12277 loss_text: 0.0600 loss_kernel: 0.0362 loss_embedding: 0.0094 loss: 0.1055 2022/08/26 17:39:49 - mmengine - INFO - Epoch(train) [268][50/63] lr: 5.8795e-04 eta: 3:15:35 time: 0.5618 data_time: 0.0288 memory: 12277 loss_text: 0.0530 loss_kernel: 0.0339 loss_embedding: 0.0096 loss: 0.0965 2022/08/26 17:39:51 - mmengine - INFO - Epoch(train) [268][55/63] lr: 5.8795e-04 eta: 3:15:35 time: 0.5574 data_time: 0.0360 memory: 12277 loss_text: 0.0461 loss_kernel: 0.0311 loss_embedding: 0.0092 loss: 0.0864 2022/08/26 17:39:54 - mmengine - INFO - Epoch(train) [268][60/63] lr: 5.8795e-04 eta: 3:15:29 time: 0.5304 data_time: 0.0293 memory: 12277 loss_text: 0.0480 loss_kernel: 0.0306 loss_embedding: 0.0104 loss: 0.0890 2022/08/26 17:39:55 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:39:59 - mmengine - INFO - Epoch(train) [269][5/63] lr: 5.8636e-04 eta: 3:15:29 time: 0.6123 data_time: 0.1457 memory: 12277 loss_text: 0.0542 loss_kernel: 0.0342 loss_embedding: 0.0088 loss: 0.0972 2022/08/26 17:40:02 - mmengine - INFO - Epoch(train) [269][10/63] lr: 5.8636e-04 eta: 3:15:22 time: 0.6875 data_time: 0.1640 memory: 12277 loss_text: 0.0527 loss_kernel: 0.0346 loss_embedding: 0.0095 loss: 0.0968 2022/08/26 17:40:05 - mmengine - INFO - Epoch(train) [269][15/63] lr: 5.8636e-04 eta: 3:15:22 time: 0.5512 data_time: 0.0399 memory: 12277 loss_text: 0.0502 loss_kernel: 0.0314 loss_embedding: 0.0102 loss: 0.0919 2022/08/26 17:40:07 - mmengine - INFO - Epoch(train) [269][20/63] lr: 5.8636e-04 eta: 3:15:15 time: 0.5084 data_time: 0.0277 memory: 12277 loss_text: 0.0507 loss_kernel: 0.0328 loss_embedding: 0.0099 loss: 0.0933 2022/08/26 17:40:10 - mmengine - INFO - Epoch(train) [269][25/63] lr: 5.8636e-04 eta: 3:15:15 time: 0.5238 data_time: 0.0275 memory: 12277 loss_text: 0.0535 loss_kernel: 0.0339 loss_embedding: 0.0099 loss: 0.0973 2022/08/26 17:40:12 - mmengine - INFO - Epoch(train) [269][30/63] lr: 5.8636e-04 eta: 3:15:09 time: 0.5248 data_time: 0.0309 memory: 12277 loss_text: 0.0511 loss_kernel: 0.0313 loss_embedding: 0.0100 loss: 0.0924 2022/08/26 17:40:15 - mmengine - INFO - Epoch(train) [269][35/63] lr: 5.8636e-04 eta: 3:15:09 time: 0.5114 data_time: 0.0293 memory: 12277 loss_text: 0.0499 loss_kernel: 0.0323 loss_embedding: 0.0096 loss: 0.0918 2022/08/26 17:40:18 - mmengine - INFO - Epoch(train) [269][40/63] lr: 5.8636e-04 eta: 3:15:04 time: 0.5467 data_time: 0.0331 memory: 12277 loss_text: 0.0505 loss_kernel: 0.0329 loss_embedding: 0.0093 loss: 0.0928 2022/08/26 17:40:21 - mmengine - INFO - Epoch(train) [269][45/63] lr: 5.8636e-04 eta: 3:15:04 time: 0.5609 data_time: 0.0332 memory: 12277 loss_text: 0.0465 loss_kernel: 0.0301 loss_embedding: 0.0097 loss: 0.0863 2022/08/26 17:40:23 - mmengine - INFO - Epoch(train) [269][50/63] lr: 5.8636e-04 eta: 3:14:57 time: 0.5192 data_time: 0.0284 memory: 12277 loss_text: 0.0543 loss_kernel: 0.0339 loss_embedding: 0.0091 loss: 0.0973 2022/08/26 17:40:26 - mmengine - INFO - Epoch(train) [269][55/63] lr: 5.8636e-04 eta: 3:14:57 time: 0.5206 data_time: 0.0312 memory: 12277 loss_text: 0.0525 loss_kernel: 0.0331 loss_embedding: 0.0103 loss: 0.0959 2022/08/26 17:40:29 - mmengine - INFO - Epoch(train) [269][60/63] lr: 5.8636e-04 eta: 3:14:52 time: 0.5506 data_time: 0.0273 memory: 12277 loss_text: 0.0553 loss_kernel: 0.0326 loss_embedding: 0.0115 loss: 0.0994 2022/08/26 17:40:30 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:40:34 - mmengine - INFO - Epoch(train) [270][5/63] lr: 5.8476e-04 eta: 3:14:52 time: 0.6696 data_time: 0.1919 memory: 12277 loss_text: 0.0484 loss_kernel: 0.0310 loss_embedding: 0.0098 loss: 0.0891 2022/08/26 17:40:37 - mmengine - INFO - Epoch(train) [270][10/63] lr: 5.8476e-04 eta: 3:14:44 time: 0.6771 data_time: 0.1932 memory: 12277 loss_text: 0.0428 loss_kernel: 0.0292 loss_embedding: 0.0081 loss: 0.0801 2022/08/26 17:40:40 - mmengine - INFO - Epoch(train) [270][15/63] lr: 5.8476e-04 eta: 3:14:44 time: 0.5161 data_time: 0.0255 memory: 12277 loss_text: 0.0498 loss_kernel: 0.0327 loss_embedding: 0.0097 loss: 0.0923 2022/08/26 17:40:43 - mmengine - INFO - Epoch(train) [270][20/63] lr: 5.8476e-04 eta: 3:14:39 time: 0.5929 data_time: 0.0305 memory: 12277 loss_text: 0.0623 loss_kernel: 0.0366 loss_embedding: 0.0099 loss: 0.1088 2022/08/26 17:40:46 - mmengine - INFO - Epoch(train) [270][25/63] lr: 5.8476e-04 eta: 3:14:39 time: 0.6098 data_time: 0.0376 memory: 12277 loss_text: 0.0693 loss_kernel: 0.0404 loss_embedding: 0.0100 loss: 0.1197 2022/08/26 17:40:48 - mmengine - INFO - Epoch(train) [270][30/63] lr: 5.8476e-04 eta: 3:14:33 time: 0.5429 data_time: 0.0364 memory: 12277 loss_text: 0.0590 loss_kernel: 0.0412 loss_embedding: 0.0097 loss: 0.1099 2022/08/26 17:40:51 - mmengine - INFO - Epoch(train) [270][35/63] lr: 5.8476e-04 eta: 3:14:33 time: 0.5263 data_time: 0.0303 memory: 12277 loss_text: 0.0458 loss_kernel: 0.0349 loss_embedding: 0.0092 loss: 0.0899 2022/08/26 17:40:53 - mmengine - INFO - Epoch(train) [270][40/63] lr: 5.8476e-04 eta: 3:14:27 time: 0.5287 data_time: 0.0249 memory: 12277 loss_text: 0.0467 loss_kernel: 0.0313 loss_embedding: 0.0101 loss: 0.0881 2022/08/26 17:40:56 - mmengine - INFO - Epoch(train) [270][45/63] lr: 5.8476e-04 eta: 3:14:27 time: 0.5260 data_time: 0.0218 memory: 12277 loss_text: 0.0506 loss_kernel: 0.0321 loss_embedding: 0.0098 loss: 0.0926 2022/08/26 17:40:59 - mmengine - INFO - Epoch(train) [270][50/63] lr: 5.8476e-04 eta: 3:14:21 time: 0.5251 data_time: 0.0276 memory: 12277 loss_text: 0.0485 loss_kernel: 0.0315 loss_embedding: 0.0094 loss: 0.0894 2022/08/26 17:41:00 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:41:01 - mmengine - INFO - Epoch(train) [270][55/63] lr: 5.8476e-04 eta: 3:14:21 time: 0.5244 data_time: 0.0328 memory: 12277 loss_text: 0.0550 loss_kernel: 0.0322 loss_embedding: 0.0083 loss: 0.0956 2022/08/26 17:41:04 - mmengine - INFO - Epoch(train) [270][60/63] lr: 5.8476e-04 eta: 3:14:15 time: 0.5493 data_time: 0.0258 memory: 12277 loss_text: 0.0621 loss_kernel: 0.0351 loss_embedding: 0.0086 loss: 0.1058 2022/08/26 17:41:05 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:41:09 - mmengine - INFO - Epoch(train) [271][5/63] lr: 5.8317e-04 eta: 3:14:15 time: 0.6354 data_time: 0.1515 memory: 12277 loss_text: 0.0527 loss_kernel: 0.0326 loss_embedding: 0.0091 loss: 0.0943 2022/08/26 17:41:12 - mmengine - INFO - Epoch(train) [271][10/63] lr: 5.8317e-04 eta: 3:14:07 time: 0.6494 data_time: 0.1601 memory: 12277 loss_text: 0.0521 loss_kernel: 0.0326 loss_embedding: 0.0098 loss: 0.0944 2022/08/26 17:41:15 - mmengine - INFO - Epoch(train) [271][15/63] lr: 5.8317e-04 eta: 3:14:07 time: 0.5222 data_time: 0.0303 memory: 12277 loss_text: 0.0581 loss_kernel: 0.0356 loss_embedding: 0.0101 loss: 0.1039 2022/08/26 17:41:17 - mmengine - INFO - Epoch(train) [271][20/63] lr: 5.8317e-04 eta: 3:14:01 time: 0.5216 data_time: 0.0235 memory: 12277 loss_text: 0.0549 loss_kernel: 0.0336 loss_embedding: 0.0115 loss: 0.1000 2022/08/26 17:41:20 - mmengine - INFO - Epoch(train) [271][25/63] lr: 5.8317e-04 eta: 3:14:01 time: 0.5255 data_time: 0.0246 memory: 12277 loss_text: 0.0508 loss_kernel: 0.0333 loss_embedding: 0.0105 loss: 0.0946 2022/08/26 17:41:24 - mmengine - INFO - Epoch(train) [271][30/63] lr: 5.8317e-04 eta: 3:13:56 time: 0.6597 data_time: 0.0379 memory: 12277 loss_text: 0.0495 loss_kernel: 0.0326 loss_embedding: 0.0099 loss: 0.0920 2022/08/26 17:41:27 - mmengine - INFO - Epoch(train) [271][35/63] lr: 5.8317e-04 eta: 3:13:56 time: 0.6966 data_time: 0.0414 memory: 12277 loss_text: 0.0514 loss_kernel: 0.0324 loss_embedding: 0.0101 loss: 0.0938 2022/08/26 17:41:29 - mmengine - INFO - Epoch(train) [271][40/63] lr: 5.8317e-04 eta: 3:13:51 time: 0.5619 data_time: 0.0278 memory: 12277 loss_text: 0.0493 loss_kernel: 0.0325 loss_embedding: 0.0085 loss: 0.0903 2022/08/26 17:41:32 - mmengine - INFO - Epoch(train) [271][45/63] lr: 5.8317e-04 eta: 3:13:51 time: 0.5057 data_time: 0.0226 memory: 12277 loss_text: 0.0491 loss_kernel: 0.0319 loss_embedding: 0.0075 loss: 0.0885 2022/08/26 17:41:34 - mmengine - INFO - Epoch(train) [271][50/63] lr: 5.8317e-04 eta: 3:13:44 time: 0.4940 data_time: 0.0273 memory: 12277 loss_text: 0.0565 loss_kernel: 0.0349 loss_embedding: 0.0075 loss: 0.0989 2022/08/26 17:41:37 - mmengine - INFO - Epoch(train) [271][55/63] lr: 5.8317e-04 eta: 3:13:44 time: 0.5288 data_time: 0.0289 memory: 12277 loss_text: 0.0524 loss_kernel: 0.0355 loss_embedding: 0.0125 loss: 0.1003 2022/08/26 17:41:40 - mmengine - INFO - Epoch(train) [271][60/63] lr: 5.8317e-04 eta: 3:13:38 time: 0.5174 data_time: 0.0220 memory: 12277 loss_text: 0.0495 loss_kernel: 0.0371 loss_embedding: 0.0142 loss: 0.1008 2022/08/26 17:41:41 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:41:45 - mmengine - INFO - Epoch(train) [272][5/63] lr: 5.8157e-04 eta: 3:13:38 time: 0.6729 data_time: 0.2137 memory: 12277 loss_text: 0.0514 loss_kernel: 0.0338 loss_embedding: 0.0098 loss: 0.0951 2022/08/26 17:41:48 - mmengine - INFO - Epoch(train) [272][10/63] lr: 5.8157e-04 eta: 3:13:31 time: 0.7144 data_time: 0.2245 memory: 12277 loss_text: 0.0493 loss_kernel: 0.0314 loss_embedding: 0.0083 loss: 0.0890 2022/08/26 17:41:51 - mmengine - INFO - Epoch(train) [272][15/63] lr: 5.8157e-04 eta: 3:13:31 time: 0.5579 data_time: 0.0363 memory: 12277 loss_text: 0.0512 loss_kernel: 0.0305 loss_embedding: 0.0090 loss: 0.0907 2022/08/26 17:41:55 - mmengine - INFO - Epoch(train) [272][20/63] lr: 5.8157e-04 eta: 3:13:26 time: 0.6641 data_time: 0.0471 memory: 12277 loss_text: 0.0471 loss_kernel: 0.0301 loss_embedding: 0.0088 loss: 0.0860 2022/08/26 17:41:57 - mmengine - INFO - Epoch(train) [272][25/63] lr: 5.8157e-04 eta: 3:13:26 time: 0.6522 data_time: 0.0485 memory: 12277 loss_text: 0.0515 loss_kernel: 0.0323 loss_embedding: 0.0096 loss: 0.0934 2022/08/26 17:42:00 - mmengine - INFO - Epoch(train) [272][30/63] lr: 5.8157e-04 eta: 3:13:21 time: 0.5488 data_time: 0.0333 memory: 12277 loss_text: 0.0480 loss_kernel: 0.0308 loss_embedding: 0.0098 loss: 0.0887 2022/08/26 17:42:03 - mmengine - INFO - Epoch(train) [272][35/63] lr: 5.8157e-04 eta: 3:13:21 time: 0.5372 data_time: 0.0269 memory: 12277 loss_text: 0.0432 loss_kernel: 0.0295 loss_embedding: 0.0088 loss: 0.0816 2022/08/26 17:42:06 - mmengine - INFO - Epoch(train) [272][40/63] lr: 5.8157e-04 eta: 3:13:15 time: 0.5828 data_time: 0.0267 memory: 12277 loss_text: 0.0525 loss_kernel: 0.0331 loss_embedding: 0.0097 loss: 0.0954 2022/08/26 17:42:09 - mmengine - INFO - Epoch(train) [272][45/63] lr: 5.8157e-04 eta: 3:13:15 time: 0.6098 data_time: 0.0420 memory: 12277 loss_text: 0.0582 loss_kernel: 0.0373 loss_embedding: 0.0094 loss: 0.1050 2022/08/26 17:42:12 - mmengine - INFO - Epoch(train) [272][50/63] lr: 5.8157e-04 eta: 3:13:10 time: 0.5631 data_time: 0.0417 memory: 12277 loss_text: 0.0556 loss_kernel: 0.0372 loss_embedding: 0.0086 loss: 0.1014 2022/08/26 17:42:14 - mmengine - INFO - Epoch(train) [272][55/63] lr: 5.8157e-04 eta: 3:13:10 time: 0.5355 data_time: 0.0269 memory: 12277 loss_text: 0.0563 loss_kernel: 0.0381 loss_embedding: 0.0102 loss: 0.1047 2022/08/26 17:42:17 - mmengine - INFO - Epoch(train) [272][60/63] lr: 5.8157e-04 eta: 3:13:04 time: 0.5491 data_time: 0.0267 memory: 12277 loss_text: 0.0533 loss_kernel: 0.0363 loss_embedding: 0.0102 loss: 0.0998 2022/08/26 17:42:18 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:42:23 - mmengine - INFO - Epoch(train) [273][5/63] lr: 5.7997e-04 eta: 3:13:04 time: 0.7037 data_time: 0.1805 memory: 12277 loss_text: 0.0486 loss_kernel: 0.0314 loss_embedding: 0.0099 loss: 0.0899 2022/08/26 17:42:27 - mmengine - INFO - Epoch(train) [273][10/63] lr: 5.7997e-04 eta: 3:12:58 time: 0.8297 data_time: 0.2380 memory: 12277 loss_text: 0.0547 loss_kernel: 0.0335 loss_embedding: 0.0086 loss: 0.0968 2022/08/26 17:42:30 - mmengine - INFO - Epoch(train) [273][15/63] lr: 5.7997e-04 eta: 3:12:58 time: 0.6573 data_time: 0.0844 memory: 12277 loss_text: 0.0609 loss_kernel: 0.0370 loss_embedding: 0.0098 loss: 0.1077 2022/08/26 17:42:34 - mmengine - INFO - Epoch(train) [273][20/63] lr: 5.7997e-04 eta: 3:12:54 time: 0.7251 data_time: 0.0378 memory: 12277 loss_text: 0.0611 loss_kernel: 0.0377 loss_embedding: 0.0095 loss: 0.1083 2022/08/26 17:42:37 - mmengine - INFO - Epoch(train) [273][25/63] lr: 5.7997e-04 eta: 3:12:54 time: 0.7454 data_time: 0.0401 memory: 12277 loss_text: 0.0564 loss_kernel: 0.0351 loss_embedding: 0.0092 loss: 0.1007 2022/08/26 17:42:40 - mmengine - INFO - Epoch(train) [273][30/63] lr: 5.7997e-04 eta: 3:12:49 time: 0.5782 data_time: 0.0320 memory: 12277 loss_text: 0.0636 loss_kernel: 0.0368 loss_embedding: 0.0096 loss: 0.1100 2022/08/26 17:42:43 - mmengine - INFO - Epoch(train) [273][35/63] lr: 5.7997e-04 eta: 3:12:49 time: 0.5749 data_time: 0.0264 memory: 12277 loss_text: 0.0630 loss_kernel: 0.0357 loss_embedding: 0.0096 loss: 0.1083 2022/08/26 17:42:46 - mmengine - INFO - Epoch(train) [273][40/63] lr: 5.7997e-04 eta: 3:12:44 time: 0.5840 data_time: 0.0271 memory: 12277 loss_text: 0.0497 loss_kernel: 0.0303 loss_embedding: 0.0112 loss: 0.0912 2022/08/26 17:42:49 - mmengine - INFO - Epoch(train) [273][45/63] lr: 5.7997e-04 eta: 3:12:44 time: 0.5845 data_time: 0.0373 memory: 12277 loss_text: 0.0501 loss_kernel: 0.0319 loss_embedding: 0.0108 loss: 0.0928 2022/08/26 17:42:52 - mmengine - INFO - Epoch(train) [273][50/63] lr: 5.7997e-04 eta: 3:12:38 time: 0.6007 data_time: 0.0360 memory: 12277 loss_text: 0.0525 loss_kernel: 0.0316 loss_embedding: 0.0098 loss: 0.0939 2022/08/26 17:42:54 - mmengine - INFO - Epoch(train) [273][55/63] lr: 5.7997e-04 eta: 3:12:38 time: 0.5664 data_time: 0.0212 memory: 12277 loss_text: 0.0524 loss_kernel: 0.0347 loss_embedding: 0.0107 loss: 0.0978 2022/08/26 17:42:57 - mmengine - INFO - Epoch(train) [273][60/63] lr: 5.7997e-04 eta: 3:12:32 time: 0.5243 data_time: 0.0221 memory: 12277 loss_text: 0.0444 loss_kernel: 0.0342 loss_embedding: 0.0103 loss: 0.0889 2022/08/26 17:42:58 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:43:03 - mmengine - INFO - Epoch(train) [274][5/63] lr: 5.7838e-04 eta: 3:12:32 time: 0.7195 data_time: 0.1548 memory: 12277 loss_text: 0.0416 loss_kernel: 0.0305 loss_embedding: 0.0097 loss: 0.0818 2022/08/26 17:43:06 - mmengine - INFO - Epoch(train) [274][10/63] lr: 5.7838e-04 eta: 3:12:25 time: 0.7541 data_time: 0.1561 memory: 12277 loss_text: 0.0522 loss_kernel: 0.0341 loss_embedding: 0.0090 loss: 0.0952 2022/08/26 17:43:09 - mmengine - INFO - Epoch(train) [274][15/63] lr: 5.7838e-04 eta: 3:12:25 time: 0.5356 data_time: 0.0255 memory: 12277 loss_text: 0.0532 loss_kernel: 0.0338 loss_embedding: 0.0089 loss: 0.0959 2022/08/26 17:43:11 - mmengine - INFO - Epoch(train) [274][20/63] lr: 5.7838e-04 eta: 3:12:19 time: 0.5014 data_time: 0.0241 memory: 12277 loss_text: 0.0704 loss_kernel: 0.0432 loss_embedding: 0.0094 loss: 0.1229 2022/08/26 17:43:14 - mmengine - INFO - Epoch(train) [274][25/63] lr: 5.7838e-04 eta: 3:12:19 time: 0.5150 data_time: 0.0276 memory: 12277 loss_text: 0.0796 loss_kernel: 0.0485 loss_embedding: 0.0095 loss: 0.1376 2022/08/26 17:43:16 - mmengine - INFO - Epoch(train) [274][30/63] lr: 5.7838e-04 eta: 3:12:13 time: 0.5261 data_time: 0.0232 memory: 12277 loss_text: 0.0544 loss_kernel: 0.0348 loss_embedding: 0.0093 loss: 0.0986 2022/08/26 17:43:19 - mmengine - INFO - Epoch(train) [274][35/63] lr: 5.7838e-04 eta: 3:12:13 time: 0.5270 data_time: 0.0243 memory: 12277 loss_text: 0.0455 loss_kernel: 0.0314 loss_embedding: 0.0084 loss: 0.0852 2022/08/26 17:43:22 - mmengine - INFO - Epoch(train) [274][40/63] lr: 5.7838e-04 eta: 3:12:07 time: 0.5483 data_time: 0.0288 memory: 12277 loss_text: 0.0463 loss_kernel: 0.0325 loss_embedding: 0.0095 loss: 0.0883 2022/08/26 17:43:25 - mmengine - INFO - Epoch(train) [274][45/63] lr: 5.7838e-04 eta: 3:12:07 time: 0.5549 data_time: 0.0295 memory: 12277 loss_text: 0.0440 loss_kernel: 0.0299 loss_embedding: 0.0117 loss: 0.0856 2022/08/26 17:43:27 - mmengine - INFO - Epoch(train) [274][50/63] lr: 5.7838e-04 eta: 3:12:01 time: 0.5293 data_time: 0.0244 memory: 12277 loss_text: 0.0526 loss_kernel: 0.0331 loss_embedding: 0.0125 loss: 0.0982 2022/08/26 17:43:30 - mmengine - INFO - Epoch(train) [274][55/63] lr: 5.7838e-04 eta: 3:12:01 time: 0.5139 data_time: 0.0218 memory: 12277 loss_text: 0.0555 loss_kernel: 0.0339 loss_embedding: 0.0110 loss: 0.1004 2022/08/26 17:43:32 - mmengine - INFO - Epoch(train) [274][60/63] lr: 5.7838e-04 eta: 3:11:55 time: 0.5218 data_time: 0.0278 memory: 12277 loss_text: 0.0618 loss_kernel: 0.0380 loss_embedding: 0.0101 loss: 0.1099 2022/08/26 17:43:34 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:43:38 - mmengine - INFO - Epoch(train) [275][5/63] lr: 5.7678e-04 eta: 3:11:55 time: 0.6228 data_time: 0.1570 memory: 12277 loss_text: 0.0506 loss_kernel: 0.0324 loss_embedding: 0.0094 loss: 0.0924 2022/08/26 17:43:40 - mmengine - INFO - Epoch(train) [275][10/63] lr: 5.7678e-04 eta: 3:11:47 time: 0.6644 data_time: 0.1619 memory: 12277 loss_text: 0.0440 loss_kernel: 0.0297 loss_embedding: 0.0114 loss: 0.0852 2022/08/26 17:43:43 - mmengine - INFO - Epoch(train) [275][15/63] lr: 5.7678e-04 eta: 3:11:47 time: 0.5542 data_time: 0.0310 memory: 12277 loss_text: 0.0537 loss_kernel: 0.0336 loss_embedding: 0.0119 loss: 0.0993 2022/08/26 17:43:46 - mmengine - INFO - Epoch(train) [275][20/63] lr: 5.7678e-04 eta: 3:11:41 time: 0.5326 data_time: 0.0263 memory: 12277 loss_text: 0.0550 loss_kernel: 0.0344 loss_embedding: 0.0109 loss: 0.1003 2022/08/26 17:43:48 - mmengine - INFO - Epoch(train) [275][25/63] lr: 5.7678e-04 eta: 3:11:41 time: 0.5151 data_time: 0.0229 memory: 12277 loss_text: 0.0449 loss_kernel: 0.0306 loss_embedding: 0.0107 loss: 0.0862 2022/08/26 17:43:51 - mmengine - INFO - Epoch(train) [275][30/63] lr: 5.7678e-04 eta: 3:11:35 time: 0.5372 data_time: 0.0275 memory: 12277 loss_text: 0.0525 loss_kernel: 0.0329 loss_embedding: 0.0087 loss: 0.0941 2022/08/26 17:43:54 - mmengine - INFO - Epoch(train) [275][35/63] lr: 5.7678e-04 eta: 3:11:35 time: 0.5612 data_time: 0.0310 memory: 12277 loss_text: 0.0555 loss_kernel: 0.0344 loss_embedding: 0.0081 loss: 0.0980 2022/08/26 17:43:57 - mmengine - INFO - Epoch(train) [275][40/63] lr: 5.7678e-04 eta: 3:11:30 time: 0.5709 data_time: 0.0279 memory: 12277 loss_text: 0.0571 loss_kernel: 0.0351 loss_embedding: 0.0099 loss: 0.1021 2022/08/26 17:43:59 - mmengine - INFO - Epoch(train) [275][45/63] lr: 5.7678e-04 eta: 3:11:30 time: 0.5393 data_time: 0.0236 memory: 12277 loss_text: 0.0640 loss_kernel: 0.0335 loss_embedding: 0.0092 loss: 0.1067 2022/08/26 17:44:02 - mmengine - INFO - Epoch(train) [275][50/63] lr: 5.7678e-04 eta: 3:11:24 time: 0.5130 data_time: 0.0219 memory: 12277 loss_text: 0.0569 loss_kernel: 0.0298 loss_embedding: 0.0095 loss: 0.0962 2022/08/26 17:44:04 - mmengine - INFO - Epoch(train) [275][55/63] lr: 5.7678e-04 eta: 3:11:24 time: 0.5089 data_time: 0.0254 memory: 12277 loss_text: 0.0591 loss_kernel: 0.0335 loss_embedding: 0.0091 loss: 0.1017 2022/08/26 17:44:07 - mmengine - INFO - Epoch(train) [275][60/63] lr: 5.7678e-04 eta: 3:11:17 time: 0.4999 data_time: 0.0244 memory: 12277 loss_text: 0.0648 loss_kernel: 0.0366 loss_embedding: 0.0081 loss: 0.1095 2022/08/26 17:44:08 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:44:12 - mmengine - INFO - Epoch(train) [276][5/63] lr: 5.7518e-04 eta: 3:11:17 time: 0.6303 data_time: 0.1433 memory: 12277 loss_text: 0.0465 loss_kernel: 0.0307 loss_embedding: 0.0096 loss: 0.0867 2022/08/26 17:44:15 - mmengine - INFO - Epoch(train) [276][10/63] lr: 5.7518e-04 eta: 3:11:09 time: 0.6678 data_time: 0.1566 memory: 12277 loss_text: 0.0499 loss_kernel: 0.0303 loss_embedding: 0.0100 loss: 0.0902 2022/08/26 17:44:18 - mmengine - INFO - Epoch(train) [276][15/63] lr: 5.7518e-04 eta: 3:11:09 time: 0.5583 data_time: 0.0354 memory: 12277 loss_text: 0.0506 loss_kernel: 0.0303 loss_embedding: 0.0095 loss: 0.0904 2022/08/26 17:44:20 - mmengine - INFO - Epoch(train) [276][20/63] lr: 5.7518e-04 eta: 3:11:04 time: 0.5611 data_time: 0.0227 memory: 12277 loss_text: 0.0552 loss_kernel: 0.0309 loss_embedding: 0.0099 loss: 0.0960 2022/08/26 17:44:24 - mmengine - INFO - Epoch(train) [276][25/63] lr: 5.7518e-04 eta: 3:11:04 time: 0.5983 data_time: 0.0255 memory: 12277 loss_text: 0.0533 loss_kernel: 0.0308 loss_embedding: 0.0095 loss: 0.0936 2022/08/26 17:44:27 - mmengine - INFO - Epoch(train) [276][30/63] lr: 5.7518e-04 eta: 3:10:59 time: 0.6235 data_time: 0.0360 memory: 12277 loss_text: 0.0465 loss_kernel: 0.0323 loss_embedding: 0.0099 loss: 0.0887 2022/08/26 17:44:30 - mmengine - INFO - Epoch(train) [276][35/63] lr: 5.7518e-04 eta: 3:10:59 time: 0.5900 data_time: 0.0339 memory: 12277 loss_text: 0.0488 loss_kernel: 0.0331 loss_embedding: 0.0115 loss: 0.0934 2022/08/26 17:44:33 - mmengine - INFO - Epoch(train) [276][40/63] lr: 5.7518e-04 eta: 3:10:54 time: 0.5918 data_time: 0.0349 memory: 12277 loss_text: 0.0565 loss_kernel: 0.0344 loss_embedding: 0.0114 loss: 0.1023 2022/08/26 17:44:35 - mmengine - INFO - Epoch(train) [276][45/63] lr: 5.7518e-04 eta: 3:10:54 time: 0.5684 data_time: 0.0333 memory: 12277 loss_text: 0.0544 loss_kernel: 0.0334 loss_embedding: 0.0101 loss: 0.0979 2022/08/26 17:44:38 - mmengine - INFO - Epoch(train) [276][50/63] lr: 5.7518e-04 eta: 3:10:48 time: 0.5401 data_time: 0.0298 memory: 12277 loss_text: 0.0473 loss_kernel: 0.0313 loss_embedding: 0.0094 loss: 0.0880 2022/08/26 17:44:40 - mmengine - INFO - Epoch(train) [276][55/63] lr: 5.7518e-04 eta: 3:10:48 time: 0.5133 data_time: 0.0286 memory: 12277 loss_text: 0.0480 loss_kernel: 0.0325 loss_embedding: 0.0094 loss: 0.0899 2022/08/26 17:44:43 - mmengine - INFO - Epoch(train) [276][60/63] lr: 5.7518e-04 eta: 3:10:41 time: 0.4938 data_time: 0.0270 memory: 12277 loss_text: 0.0502 loss_kernel: 0.0337 loss_embedding: 0.0104 loss: 0.0943 2022/08/26 17:44:44 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:44:48 - mmengine - INFO - Epoch(train) [277][5/63] lr: 5.7359e-04 eta: 3:10:41 time: 0.6192 data_time: 0.1547 memory: 12277 loss_text: 0.0621 loss_kernel: 0.0377 loss_embedding: 0.0104 loss: 0.1102 2022/08/26 17:44:51 - mmengine - INFO - Epoch(train) [277][10/63] lr: 5.7359e-04 eta: 3:10:33 time: 0.6535 data_time: 0.1623 memory: 12277 loss_text: 0.0632 loss_kernel: 0.0395 loss_embedding: 0.0104 loss: 0.1132 2022/08/26 17:44:53 - mmengine - INFO - Epoch(train) [277][15/63] lr: 5.7359e-04 eta: 3:10:33 time: 0.5131 data_time: 0.0255 memory: 12277 loss_text: 0.0509 loss_kernel: 0.0331 loss_embedding: 0.0089 loss: 0.0928 2022/08/26 17:44:56 - mmengine - INFO - Epoch(train) [277][20/63] lr: 5.7359e-04 eta: 3:10:27 time: 0.5114 data_time: 0.0185 memory: 12277 loss_text: 0.0427 loss_kernel: 0.0290 loss_embedding: 0.0079 loss: 0.0795 2022/08/26 17:44:59 - mmengine - INFO - Epoch(train) [277][25/63] lr: 5.7359e-04 eta: 3:10:27 time: 0.5266 data_time: 0.0229 memory: 12277 loss_text: 0.0551 loss_kernel: 0.0322 loss_embedding: 0.0084 loss: 0.0958 2022/08/26 17:45:01 - mmengine - INFO - Epoch(train) [277][30/63] lr: 5.7359e-04 eta: 3:10:21 time: 0.5293 data_time: 0.0291 memory: 12277 loss_text: 0.0579 loss_kernel: 0.0327 loss_embedding: 0.0094 loss: 0.1000 2022/08/26 17:45:04 - mmengine - INFO - Epoch(train) [277][35/63] lr: 5.7359e-04 eta: 3:10:21 time: 0.5592 data_time: 0.0316 memory: 12277 loss_text: 0.0589 loss_kernel: 0.0371 loss_embedding: 0.0101 loss: 0.1062 2022/08/26 17:45:07 - mmengine - INFO - Epoch(train) [277][40/63] lr: 5.7359e-04 eta: 3:10:16 time: 0.5897 data_time: 0.0301 memory: 12277 loss_text: 0.0620 loss_kernel: 0.0392 loss_embedding: 0.0097 loss: 0.1109 2022/08/26 17:45:09 - mmengine - INFO - Epoch(train) [277][45/63] lr: 5.7359e-04 eta: 3:10:16 time: 0.5354 data_time: 0.0256 memory: 12277 loss_text: 0.0462 loss_kernel: 0.0303 loss_embedding: 0.0081 loss: 0.0845 2022/08/26 17:45:12 - mmengine - INFO - Epoch(train) [277][50/63] lr: 5.7359e-04 eta: 3:10:10 time: 0.5439 data_time: 0.0253 memory: 12277 loss_text: 0.0417 loss_kernel: 0.0290 loss_embedding: 0.0081 loss: 0.0787 2022/08/26 17:45:15 - mmengine - INFO - Epoch(train) [277][55/63] lr: 5.7359e-04 eta: 3:10:10 time: 0.5697 data_time: 0.0261 memory: 12277 loss_text: 0.0530 loss_kernel: 0.0373 loss_embedding: 0.0115 loss: 0.1018 2022/08/26 17:45:18 - mmengine - INFO - Epoch(train) [277][60/63] lr: 5.7359e-04 eta: 3:10:04 time: 0.5328 data_time: 0.0212 memory: 12277 loss_text: 0.0536 loss_kernel: 0.0376 loss_embedding: 0.0111 loss: 0.1022 2022/08/26 17:45:19 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:45:23 - mmengine - INFO - Epoch(train) [278][5/63] lr: 5.7199e-04 eta: 3:10:04 time: 0.6661 data_time: 0.1397 memory: 12277 loss_text: 0.0457 loss_kernel: 0.0309 loss_embedding: 0.0082 loss: 0.0848 2022/08/26 17:45:26 - mmengine - INFO - Epoch(train) [278][10/63] lr: 5.7199e-04 eta: 3:09:57 time: 0.7155 data_time: 0.1522 memory: 12277 loss_text: 0.0423 loss_kernel: 0.0290 loss_embedding: 0.0085 loss: 0.0798 2022/08/26 17:45:29 - mmengine - INFO - Epoch(train) [278][15/63] lr: 5.7199e-04 eta: 3:09:57 time: 0.5300 data_time: 0.0329 memory: 12277 loss_text: 0.0450 loss_kernel: 0.0298 loss_embedding: 0.0087 loss: 0.0835 2022/08/26 17:45:31 - mmengine - INFO - Epoch(train) [278][20/63] lr: 5.7199e-04 eta: 3:09:50 time: 0.5036 data_time: 0.0211 memory: 12277 loss_text: 0.0465 loss_kernel: 0.0306 loss_embedding: 0.0103 loss: 0.0873 2022/08/26 17:45:34 - mmengine - INFO - Epoch(train) [278][25/63] lr: 5.7199e-04 eta: 3:09:50 time: 0.5171 data_time: 0.0223 memory: 12277 loss_text: 0.0521 loss_kernel: 0.0338 loss_embedding: 0.0101 loss: 0.0960 2022/08/26 17:45:37 - mmengine - INFO - Epoch(train) [278][30/63] lr: 5.7199e-04 eta: 3:09:44 time: 0.5231 data_time: 0.0270 memory: 12277 loss_text: 0.0555 loss_kernel: 0.0399 loss_embedding: 0.0104 loss: 0.1058 2022/08/26 17:45:39 - mmengine - INFO - Epoch(train) [278][35/63] lr: 5.7199e-04 eta: 3:09:44 time: 0.5017 data_time: 0.0254 memory: 12277 loss_text: 0.0494 loss_kernel: 0.0393 loss_embedding: 0.0102 loss: 0.0989 2022/08/26 17:45:42 - mmengine - INFO - Epoch(train) [278][40/63] lr: 5.7199e-04 eta: 3:09:38 time: 0.5016 data_time: 0.0189 memory: 12277 loss_text: 0.0504 loss_kernel: 0.0350 loss_embedding: 0.0087 loss: 0.0941 2022/08/26 17:45:44 - mmengine - INFO - Epoch(train) [278][45/63] lr: 5.7199e-04 eta: 3:09:38 time: 0.5249 data_time: 0.0211 memory: 12277 loss_text: 0.0521 loss_kernel: 0.0342 loss_embedding: 0.0101 loss: 0.0964 2022/08/26 17:45:48 - mmengine - INFO - Epoch(train) [278][50/63] lr: 5.7199e-04 eta: 3:09:33 time: 0.6022 data_time: 0.0302 memory: 12277 loss_text: 0.0456 loss_kernel: 0.0318 loss_embedding: 0.0105 loss: 0.0879 2022/08/26 17:45:50 - mmengine - INFO - Epoch(train) [278][55/63] lr: 5.7199e-04 eta: 3:09:33 time: 0.6189 data_time: 0.0303 memory: 12277 loss_text: 0.0461 loss_kernel: 0.0310 loss_embedding: 0.0100 loss: 0.0871 2022/08/26 17:45:53 - mmengine - INFO - Epoch(train) [278][60/63] lr: 5.7199e-04 eta: 3:09:27 time: 0.5607 data_time: 0.0235 memory: 12277 loss_text: 0.0513 loss_kernel: 0.0311 loss_embedding: 0.0095 loss: 0.0919 2022/08/26 17:45:55 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:45:58 - mmengine - INFO - Epoch(train) [279][5/63] lr: 5.7039e-04 eta: 3:09:27 time: 0.6280 data_time: 0.1492 memory: 12277 loss_text: 0.0708 loss_kernel: 0.0362 loss_embedding: 0.0099 loss: 0.1169 2022/08/26 17:46:01 - mmengine - INFO - Epoch(train) [279][10/63] lr: 5.7039e-04 eta: 3:09:19 time: 0.6406 data_time: 0.1590 memory: 12277 loss_text: 0.0720 loss_kernel: 0.0392 loss_embedding: 0.0088 loss: 0.1199 2022/08/26 17:46:04 - mmengine - INFO - Epoch(train) [279][15/63] lr: 5.7039e-04 eta: 3:09:19 time: 0.5734 data_time: 0.0325 memory: 12277 loss_text: 0.0658 loss_kernel: 0.0394 loss_embedding: 0.0098 loss: 0.1150 2022/08/26 17:46:07 - mmengine - INFO - Epoch(train) [279][20/63] lr: 5.7039e-04 eta: 3:09:14 time: 0.5673 data_time: 0.0245 memory: 12277 loss_text: 0.0640 loss_kernel: 0.0374 loss_embedding: 0.0103 loss: 0.1117 2022/08/26 17:46:09 - mmengine - INFO - Epoch(train) [279][25/63] lr: 5.7039e-04 eta: 3:09:14 time: 0.5109 data_time: 0.0222 memory: 12277 loss_text: 0.0543 loss_kernel: 0.0318 loss_embedding: 0.0096 loss: 0.0958 2022/08/26 17:46:12 - mmengine - INFO - Epoch(train) [279][30/63] lr: 5.7039e-04 eta: 3:09:08 time: 0.5390 data_time: 0.0310 memory: 12277 loss_text: 0.0501 loss_kernel: 0.0315 loss_embedding: 0.0096 loss: 0.0911 2022/08/26 17:46:15 - mmengine - INFO - Epoch(train) [279][35/63] lr: 5.7039e-04 eta: 3:09:08 time: 0.5510 data_time: 0.0313 memory: 12277 loss_text: 0.0521 loss_kernel: 0.0350 loss_embedding: 0.0111 loss: 0.0983 2022/08/26 17:46:17 - mmengine - INFO - Epoch(train) [279][40/63] lr: 5.7039e-04 eta: 3:09:02 time: 0.5156 data_time: 0.0230 memory: 12277 loss_text: 0.0576 loss_kernel: 0.0375 loss_embedding: 0.0100 loss: 0.1050 2022/08/26 17:46:20 - mmengine - INFO - Epoch(train) [279][45/63] lr: 5.7039e-04 eta: 3:09:02 time: 0.5258 data_time: 0.0322 memory: 12277 loss_text: 0.0571 loss_kernel: 0.0358 loss_embedding: 0.0083 loss: 0.1011 2022/08/26 17:46:24 - mmengine - INFO - Epoch(train) [279][50/63] lr: 5.7039e-04 eta: 3:08:57 time: 0.6477 data_time: 0.0397 memory: 12277 loss_text: 0.0494 loss_kernel: 0.0337 loss_embedding: 0.0104 loss: 0.0935 2022/08/26 17:46:26 - mmengine - INFO - Epoch(train) [279][55/63] lr: 5.7039e-04 eta: 3:08:57 time: 0.6198 data_time: 0.0319 memory: 12277 loss_text: 0.0496 loss_kernel: 0.0340 loss_embedding: 0.0111 loss: 0.0947 2022/08/26 17:46:29 - mmengine - INFO - Epoch(train) [279][60/63] lr: 5.7039e-04 eta: 3:08:51 time: 0.4991 data_time: 0.0236 memory: 12277 loss_text: 0.0617 loss_kernel: 0.0391 loss_embedding: 0.0087 loss: 0.1094 2022/08/26 17:46:30 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:46:35 - mmengine - INFO - Epoch(train) [280][5/63] lr: 5.6879e-04 eta: 3:08:51 time: 0.7096 data_time: 0.2280 memory: 12277 loss_text: 0.0491 loss_kernel: 0.0303 loss_embedding: 0.0103 loss: 0.0896 2022/08/26 17:46:41 - mmengine - INFO - Epoch(train) [280][10/63] lr: 5.6879e-04 eta: 3:08:48 time: 1.1078 data_time: 0.5886 memory: 12277 loss_text: 0.0526 loss_kernel: 0.0307 loss_embedding: 0.0100 loss: 0.0934 2022/08/26 17:46:46 - mmengine - INFO - Epoch(train) [280][15/63] lr: 5.6879e-04 eta: 3:08:48 time: 1.0903 data_time: 0.5055 memory: 12277 loss_text: 0.0593 loss_kernel: 0.0332 loss_embedding: 0.0095 loss: 0.1021 2022/08/26 17:46:48 - mmengine - INFO - Epoch(train) [280][20/63] lr: 5.6879e-04 eta: 3:08:44 time: 0.7422 data_time: 0.1517 memory: 12277 loss_text: 0.0535 loss_kernel: 0.0320 loss_embedding: 0.0103 loss: 0.0957 2022/08/26 17:46:51 - mmengine - INFO - Epoch(train) [280][25/63] lr: 5.6879e-04 eta: 3:08:44 time: 0.5566 data_time: 0.0365 memory: 12277 loss_text: 0.0470 loss_kernel: 0.0296 loss_embedding: 0.0099 loss: 0.0865 2022/08/26 17:46:54 - mmengine - INFO - Epoch(train) [280][30/63] lr: 5.6879e-04 eta: 3:08:39 time: 0.5600 data_time: 0.0302 memory: 12277 loss_text: 0.0471 loss_kernel: 0.0313 loss_embedding: 0.0091 loss: 0.0874 2022/08/26 17:46:56 - mmengine - INFO - Epoch(train) [280][35/63] lr: 5.6879e-04 eta: 3:08:39 time: 0.5288 data_time: 0.0208 memory: 12277 loss_text: 0.0484 loss_kernel: 0.0320 loss_embedding: 0.0088 loss: 0.0892 2022/08/26 17:46:59 - mmengine - INFO - Epoch(train) [280][40/63] lr: 5.6879e-04 eta: 3:08:32 time: 0.5077 data_time: 0.0292 memory: 12277 loss_text: 0.0541 loss_kernel: 0.0310 loss_embedding: 0.0097 loss: 0.0948 2022/08/26 17:47:02 - mmengine - INFO - Epoch(train) [280][45/63] lr: 5.6879e-04 eta: 3:08:32 time: 0.5464 data_time: 0.0313 memory: 12277 loss_text: 0.0547 loss_kernel: 0.0328 loss_embedding: 0.0109 loss: 0.0983 2022/08/26 17:47:04 - mmengine - INFO - Epoch(train) [280][50/63] lr: 5.6879e-04 eta: 3:08:27 time: 0.5334 data_time: 0.0274 memory: 12277 loss_text: 0.0503 loss_kernel: 0.0344 loss_embedding: 0.0090 loss: 0.0937 2022/08/26 17:47:07 - mmengine - INFO - Epoch(train) [280][55/63] lr: 5.6879e-04 eta: 3:08:27 time: 0.5065 data_time: 0.0255 memory: 12277 loss_text: 0.0509 loss_kernel: 0.0355 loss_embedding: 0.0087 loss: 0.0950 2022/08/26 17:47:10 - mmengine - INFO - Epoch(train) [280][60/63] lr: 5.6879e-04 eta: 3:08:21 time: 0.5286 data_time: 0.0306 memory: 12277 loss_text: 0.0553 loss_kernel: 0.0364 loss_embedding: 0.0105 loss: 0.1022 2022/08/26 17:47:11 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:47:11 - mmengine - INFO - Saving checkpoint at 280 epochs 2022/08/26 17:47:15 - mmengine - INFO - Epoch(val) [280][5/500] eta: 3:08:21 time: 0.0777 data_time: 0.0463 memory: 12277 2022/08/26 17:47:15 - mmengine - INFO - Epoch(val) [280][10/500] eta: 0:00:37 time: 0.0766 data_time: 0.0376 memory: 497 2022/08/26 17:47:15 - mmengine - INFO - Epoch(val) [280][15/500] eta: 0:00:37 time: 0.0303 data_time: 0.0018 memory: 539 2022/08/26 17:47:15 - mmengine - INFO - Epoch(val) [280][20/500] eta: 0:00:12 time: 0.0265 data_time: 0.0022 memory: 497 2022/08/26 17:47:15 - mmengine - INFO - Epoch(val) [280][25/500] eta: 0:00:12 time: 0.0238 data_time: 0.0022 memory: 505 2022/08/26 17:47:15 - mmengine - INFO - Epoch(val) [280][30/500] eta: 0:00:09 time: 0.0209 data_time: 0.0020 memory: 516 2022/08/26 17:47:15 - mmengine - INFO - Epoch(val) [280][35/500] eta: 0:00:09 time: 0.0207 data_time: 0.0019 memory: 497 2022/08/26 17:47:16 - mmengine - INFO - Epoch(val) [280][40/500] eta: 0:00:13 time: 0.0289 data_time: 0.0024 memory: 497 2022/08/26 17:47:16 - mmengine - INFO - Epoch(val) [280][45/500] eta: 0:00:13 time: 0.0271 data_time: 0.0025 memory: 480 2022/08/26 17:47:16 - mmengine - INFO - Epoch(val) [280][50/500] eta: 0:00:09 time: 0.0217 data_time: 0.0021 memory: 539 2022/08/26 17:47:16 - mmengine - INFO - Epoch(val) [280][55/500] eta: 0:00:09 time: 0.0239 data_time: 0.0021 memory: 561 2022/08/26 17:47:16 - mmengine - INFO - Epoch(val) [280][60/500] eta: 0:00:10 time: 0.0229 data_time: 0.0022 memory: 497 2022/08/26 17:47:16 - mmengine - INFO - Epoch(val) [280][65/500] eta: 0:00:10 time: 0.0230 data_time: 0.0020 memory: 597 2022/08/26 17:47:16 - mmengine - INFO - Epoch(val) [280][70/500] eta: 0:00:08 time: 0.0198 data_time: 0.0018 memory: 497 2022/08/26 17:47:16 - mmengine - INFO - Epoch(val) [280][75/500] eta: 0:00:08 time: 0.0243 data_time: 0.0020 memory: 556 2022/08/26 17:47:17 - mmengine - INFO - Epoch(val) [280][80/500] eta: 0:00:10 time: 0.0256 data_time: 0.0023 memory: 497 2022/08/26 17:47:17 - mmengine - INFO - Epoch(val) [280][85/500] eta: 0:00:10 time: 0.0215 data_time: 0.0022 memory: 564 2022/08/26 17:47:17 - mmengine - INFO - Epoch(val) [280][90/500] eta: 0:00:08 time: 0.0218 data_time: 0.0020 memory: 522 2022/08/26 17:47:17 - mmengine - INFO - Epoch(val) [280][95/500] eta: 0:00:08 time: 0.0282 data_time: 0.0031 memory: 756 2022/08/26 17:47:17 - mmengine - INFO - Epoch(val) [280][100/500] eta: 0:00:11 time: 0.0289 data_time: 0.0032 memory: 572 2022/08/26 17:47:17 - mmengine - INFO - Epoch(val) [280][105/500] eta: 0:00:11 time: 0.0223 data_time: 0.0019 memory: 539 2022/08/26 17:47:17 - mmengine - INFO - Epoch(val) [280][110/500] eta: 0:00:07 time: 0.0202 data_time: 0.0018 memory: 497 2022/08/26 17:47:17 - mmengine - INFO - Epoch(val) [280][115/500] eta: 0:00:07 time: 0.0193 data_time: 0.0020 memory: 497 2022/08/26 17:47:17 - mmengine - INFO - Epoch(val) [280][120/500] eta: 0:00:09 time: 0.0245 data_time: 0.0018 memory: 530 2022/08/26 17:47:18 - mmengine - INFO - Epoch(val) [280][125/500] eta: 0:00:09 time: 0.0257 data_time: 0.0015 memory: 497 2022/08/26 17:47:18 - mmengine - INFO - Epoch(val) [280][130/500] eta: 0:00:07 time: 0.0201 data_time: 0.0014 memory: 539 2022/08/26 17:47:18 - mmengine - INFO - Epoch(val) [280][135/500] eta: 0:00:07 time: 0.0175 data_time: 0.0014 memory: 497 2022/08/26 17:47:18 - mmengine - INFO - Epoch(val) [280][140/500] eta: 0:00:06 time: 0.0188 data_time: 0.0015 memory: 480 2022/08/26 17:47:18 - mmengine - INFO - Epoch(val) [280][145/500] eta: 0:00:06 time: 0.0205 data_time: 0.0019 memory: 751 2022/08/26 17:47:18 - mmengine - INFO - Epoch(val) [280][150/500] eta: 0:00:06 time: 0.0194 data_time: 0.0019 memory: 464 2022/08/26 17:47:18 - mmengine - INFO - Epoch(val) [280][155/500] eta: 0:00:06 time: 0.0179 data_time: 0.0015 memory: 516 2022/08/26 17:47:18 - mmengine - INFO - Epoch(val) [280][160/500] eta: 0:00:06 time: 0.0177 data_time: 0.0015 memory: 539 2022/08/26 17:47:18 - mmengine - INFO - Epoch(val) [280][165/500] eta: 0:00:06 time: 0.0179 data_time: 0.0015 memory: 497 2022/08/26 17:47:18 - mmengine - INFO - Epoch(val) [280][170/500] eta: 0:00:06 time: 0.0190 data_time: 0.0016 memory: 514 2022/08/26 17:47:19 - mmengine - INFO - Epoch(val) [280][175/500] eta: 0:00:06 time: 0.0174 data_time: 0.0017 memory: 539 2022/08/26 17:47:19 - mmengine - INFO - Epoch(val) [280][180/500] eta: 0:00:05 time: 0.0183 data_time: 0.0016 memory: 539 2022/08/26 17:47:19 - mmengine - INFO - Epoch(val) [280][185/500] eta: 0:00:05 time: 0.0185 data_time: 0.0015 memory: 489 2022/08/26 17:47:19 - mmengine - INFO - Epoch(val) [280][190/500] eta: 0:00:05 time: 0.0176 data_time: 0.0015 memory: 516 2022/08/26 17:47:19 - mmengine - INFO - Epoch(val) [280][195/500] eta: 0:00:05 time: 0.0182 data_time: 0.0015 memory: 516 2022/08/26 17:47:19 - mmengine - INFO - Epoch(val) [280][200/500] eta: 0:00:05 time: 0.0179 data_time: 0.0015 memory: 516 2022/08/26 17:47:19 - mmengine - INFO - Epoch(val) [280][205/500] eta: 0:00:05 time: 0.0209 data_time: 0.0017 memory: 664 2022/08/26 17:47:19 - mmengine - INFO - Epoch(val) [280][210/500] eta: 0:00:06 time: 0.0216 data_time: 0.0022 memory: 497 2022/08/26 17:47:19 - mmengine - INFO - Epoch(val) [280][215/500] eta: 0:00:06 time: 0.0208 data_time: 0.0023 memory: 514 2022/08/26 17:47:19 - mmengine - INFO - Epoch(val) [280][220/500] eta: 0:00:06 time: 0.0219 data_time: 0.0020 memory: 572 2022/08/26 17:47:20 - mmengine - INFO - Epoch(val) [280][225/500] eta: 0:00:06 time: 0.0240 data_time: 0.0021 memory: 497 2022/08/26 17:47:20 - mmengine - INFO - Epoch(val) [280][230/500] eta: 0:00:08 time: 0.0299 data_time: 0.0019 memory: 507 2022/08/26 17:47:20 - mmengine - INFO - Epoch(val) [280][235/500] eta: 0:00:08 time: 0.0263 data_time: 0.0015 memory: 497 2022/08/26 17:47:20 - mmengine - INFO - Epoch(val) [280][240/500] eta: 0:00:04 time: 0.0188 data_time: 0.0015 memory: 497 2022/08/26 17:47:20 - mmengine - INFO - Epoch(val) [280][245/500] eta: 0:00:04 time: 0.0176 data_time: 0.0015 memory: 648 2022/08/26 17:47:20 - mmengine - INFO - Epoch(val) [280][250/500] eta: 0:00:04 time: 0.0181 data_time: 0.0015 memory: 497 2022/08/26 17:47:20 - mmengine - INFO - Epoch(val) [280][255/500] eta: 0:00:04 time: 0.0335 data_time: 0.0016 memory: 543 2022/08/26 17:47:20 - mmengine - INFO - Epoch(val) [280][260/500] eta: 0:00:07 time: 0.0330 data_time: 0.0015 memory: 516 2022/08/26 17:47:21 - mmengine - INFO - Epoch(val) [280][265/500] eta: 0:00:07 time: 0.0179 data_time: 0.0014 memory: 622 2022/08/26 17:47:21 - mmengine - INFO - Epoch(val) [280][270/500] eta: 0:00:03 time: 0.0174 data_time: 0.0014 memory: 505 2022/08/26 17:47:21 - mmengine - INFO - Epoch(val) [280][275/500] eta: 0:00:03 time: 0.0201 data_time: 0.0014 memory: 539 2022/08/26 17:47:21 - mmengine - INFO - Epoch(val) [280][280/500] eta: 0:00:04 time: 0.0184 data_time: 0.0016 memory: 473 2022/08/26 17:47:21 - mmengine - INFO - Epoch(val) [280][285/500] eta: 0:00:04 time: 0.0147 data_time: 0.0015 memory: 481 2022/08/26 17:47:21 - mmengine - INFO - Epoch(val) [280][290/500] eta: 0:00:03 time: 0.0166 data_time: 0.0013 memory: 464 2022/08/26 17:47:21 - mmengine - INFO - Epoch(val) [280][295/500] eta: 0:00:03 time: 0.0164 data_time: 0.0014 memory: 489 2022/08/26 17:47:21 - mmengine - INFO - Epoch(val) [280][300/500] eta: 0:00:03 time: 0.0157 data_time: 0.0014 memory: 497 2022/08/26 17:47:21 - mmengine - INFO - Epoch(val) [280][305/500] eta: 0:00:03 time: 0.0159 data_time: 0.0017 memory: 597 2022/08/26 17:47:21 - mmengine - INFO - Epoch(val) [280][310/500] eta: 0:00:03 time: 0.0165 data_time: 0.0018 memory: 606 2022/08/26 17:47:21 - mmengine - INFO - Epoch(val) [280][315/500] eta: 0:00:03 time: 0.0172 data_time: 0.0014 memory: 539 2022/08/26 17:47:22 - mmengine - INFO - Epoch(val) [280][320/500] eta: 0:00:04 time: 0.0247 data_time: 0.0031 memory: 499 2022/08/26 17:47:22 - mmengine - INFO - Epoch(val) [280][325/500] eta: 0:00:04 time: 0.0233 data_time: 0.0034 memory: 497 2022/08/26 17:47:22 - mmengine - INFO - Epoch(val) [280][330/500] eta: 0:00:03 time: 0.0187 data_time: 0.0018 memory: 497 2022/08/26 17:47:22 - mmengine - INFO - Epoch(val) [280][335/500] eta: 0:00:03 time: 0.0223 data_time: 0.0018 memory: 497 2022/08/26 17:47:22 - mmengine - INFO - Epoch(val) [280][340/500] eta: 0:00:03 time: 0.0219 data_time: 0.0020 memory: 522 2022/08/26 17:47:22 - mmengine - INFO - Epoch(val) [280][345/500] eta: 0:00:03 time: 0.0223 data_time: 0.0020 memory: 572 2022/08/26 17:47:22 - mmengine - INFO - Epoch(val) [280][350/500] eta: 0:00:03 time: 0.0236 data_time: 0.0021 memory: 499 2022/08/26 17:47:22 - mmengine - INFO - Epoch(val) [280][355/500] eta: 0:00:03 time: 0.0270 data_time: 0.0021 memory: 525 2022/08/26 17:47:22 - mmengine - INFO - Epoch(val) [280][360/500] eta: 0:00:03 time: 0.0227 data_time: 0.0018 memory: 525 2022/08/26 17:47:23 - mmengine - INFO - Epoch(val) [280][365/500] eta: 0:00:03 time: 0.0201 data_time: 0.0021 memory: 707 2022/08/26 17:47:23 - mmengine - INFO - Epoch(val) [280][370/500] eta: 0:00:02 time: 0.0200 data_time: 0.0021 memory: 539 2022/08/26 17:47:23 - mmengine - INFO - Epoch(val) [280][375/500] eta: 0:00:02 time: 0.0175 data_time: 0.0016 memory: 765 2022/08/26 17:47:23 - mmengine - INFO - Epoch(val) [280][380/500] eta: 0:00:02 time: 0.0187 data_time: 0.0015 memory: 572 2022/08/26 17:47:23 - mmengine - INFO - Epoch(val) [280][385/500] eta: 0:00:02 time: 0.0162 data_time: 0.0014 memory: 497 2022/08/26 17:47:23 - mmengine - INFO - Epoch(val) [280][390/500] eta: 0:00:01 time: 0.0167 data_time: 0.0014 memory: 539 2022/08/26 17:47:23 - mmengine - INFO - Epoch(val) [280][395/500] eta: 0:00:01 time: 0.0267 data_time: 0.0029 memory: 489 2022/08/26 17:47:23 - mmengine - INFO - Epoch(val) [280][400/500] eta: 0:00:02 time: 0.0269 data_time: 0.0031 memory: 497 2022/08/26 17:47:23 - mmengine - INFO - Epoch(val) [280][405/500] eta: 0:00:02 time: 0.0170 data_time: 0.0016 memory: 497 2022/08/26 17:47:23 - mmengine - INFO - Epoch(val) [280][410/500] eta: 0:00:02 time: 0.0232 data_time: 0.0017 memory: 497 2022/08/26 17:47:24 - mmengine - INFO - Epoch(val) [280][415/500] eta: 0:00:02 time: 0.0276 data_time: 0.0020 memory: 497 2022/08/26 17:47:24 - mmengine - INFO - Epoch(val) [280][420/500] eta: 0:00:01 time: 0.0223 data_time: 0.0016 memory: 497 2022/08/26 17:47:24 - mmengine - INFO - Epoch(val) [280][425/500] eta: 0:00:01 time: 0.0207 data_time: 0.0014 memory: 489 2022/08/26 17:47:24 - mmengine - INFO - Epoch(val) [280][430/500] eta: 0:00:01 time: 0.0189 data_time: 0.0015 memory: 516 2022/08/26 17:47:24 - mmengine - INFO - Epoch(val) [280][435/500] eta: 0:00:01 time: 0.0192 data_time: 0.0015 memory: 681 2022/08/26 17:47:24 - mmengine - INFO - Epoch(val) [280][440/500] eta: 0:00:01 time: 0.0199 data_time: 0.0015 memory: 539 2022/08/26 17:47:24 - mmengine - INFO - Epoch(val) [280][445/500] eta: 0:00:01 time: 0.0200 data_time: 0.0015 memory: 489 2022/08/26 17:47:24 - mmengine - INFO - Epoch(val) [280][450/500] eta: 0:00:01 time: 0.0204 data_time: 0.0017 memory: 507 2022/08/26 17:47:24 - mmengine - INFO - Epoch(val) [280][455/500] eta: 0:00:01 time: 0.0214 data_time: 0.0019 memory: 606 2022/08/26 17:47:24 - mmengine - INFO - Epoch(val) [280][460/500] eta: 0:00:00 time: 0.0207 data_time: 0.0018 memory: 499 2022/08/26 17:47:25 - mmengine - INFO - Epoch(val) [280][465/500] eta: 0:00:00 time: 0.0194 data_time: 0.0019 memory: 539 2022/08/26 17:47:25 - mmengine - INFO - Epoch(val) [280][470/500] eta: 0:00:00 time: 0.0194 data_time: 0.0018 memory: 516 2022/08/26 17:47:25 - mmengine - INFO - Epoch(val) [280][475/500] eta: 0:00:00 time: 0.0192 data_time: 0.0018 memory: 507 2022/08/26 17:47:25 - mmengine - INFO - Epoch(val) [280][480/500] eta: 0:00:00 time: 0.0191 data_time: 0.0019 memory: 464 2022/08/26 17:47:25 - mmengine - INFO - Epoch(val) [280][485/500] eta: 0:00:00 time: 0.0194 data_time: 0.0019 memory: 497 2022/08/26 17:47:25 - mmengine - INFO - Epoch(val) [280][490/500] eta: 0:00:00 time: 0.0199 data_time: 0.0017 memory: 497 2022/08/26 17:47:25 - mmengine - INFO - Epoch(val) [280][495/500] eta: 0:00:00 time: 0.0190 data_time: 0.0017 memory: 480 2022/08/26 17:47:25 - mmengine - INFO - Epoch(val) [280][500/500] eta: 0:00:00 time: 0.0179 data_time: 0.0017 memory: 522 2022/08/26 17:47:25 - mmengine - INFO - Evaluating hmean-iou... 2022/08/26 17:47:25 - mmengine - INFO - prediction score threshold: 0.30, recall: 0.7688, precision: 0.6684, hmean: 0.7151 2022/08/26 17:47:25 - mmengine - INFO - prediction score threshold: 0.35, recall: 0.7688, precision: 0.6684, hmean: 0.7151 2022/08/26 17:47:25 - mmengine - INFO - prediction score threshold: 0.40, recall: 0.7688, precision: 0.6684, hmean: 0.7151 2022/08/26 17:47:25 - mmengine - INFO - prediction score threshold: 0.45, recall: 0.7688, precision: 0.6684, hmean: 0.7151 2022/08/26 17:47:25 - mmengine - INFO - prediction score threshold: 0.50, recall: 0.7688, precision: 0.6684, hmean: 0.7151 2022/08/26 17:47:25 - mmengine - INFO - prediction score threshold: 0.55, recall: 0.7688, precision: 0.6687, hmean: 0.7153 2022/08/26 17:47:25 - mmengine - INFO - prediction score threshold: 0.60, recall: 0.7688, precision: 0.6832, hmean: 0.7235 2022/08/26 17:47:25 - mmengine - INFO - prediction score threshold: 0.65, recall: 0.7681, precision: 0.6968, hmean: 0.7307 2022/08/26 17:47:25 - mmengine - INFO - prediction score threshold: 0.70, recall: 0.7668, precision: 0.7189, hmean: 0.7421 2022/08/26 17:47:25 - mmengine - INFO - prediction score threshold: 0.75, recall: 0.7652, precision: 0.7369, hmean: 0.7508 2022/08/26 17:47:25 - mmengine - INFO - prediction score threshold: 0.80, recall: 0.7610, precision: 0.7610, hmean: 0.7610 2022/08/26 17:47:25 - mmengine - INFO - prediction score threshold: 0.85, recall: 0.7506, precision: 0.7891, hmean: 0.7693 2022/08/26 17:47:25 - mmengine - INFO - prediction score threshold: 0.90, recall: 0.7229, precision: 0.8212, hmean: 0.7689 2022/08/26 17:47:25 - mmengine - INFO - prediction score threshold: 0.95, recall: 0.5311, precision: 0.8672, hmean: 0.6587 2022/08/26 17:47:25 - mmengine - INFO - Epoch(val) [280][500/500] icdar/precision: 0.7891 icdar/recall: 0.7506 icdar/hmean: 0.7693 2022/08/26 17:47:30 - mmengine - INFO - Epoch(train) [281][5/63] lr: 5.6719e-04 eta: 0:00:00 time: 0.6696 data_time: 0.1621 memory: 12277 loss_text: 0.0616 loss_kernel: 0.0366 loss_embedding: 0.0088 loss: 0.1069 2022/08/26 17:47:33 - mmengine - INFO - Epoch(train) [281][10/63] lr: 5.6719e-04 eta: 3:08:13 time: 0.7260 data_time: 0.1714 memory: 12277 loss_text: 0.0533 loss_kernel: 0.0335 loss_embedding: 0.0081 loss: 0.0949 2022/08/26 17:47:36 - mmengine - INFO - Epoch(train) [281][15/63] lr: 5.6719e-04 eta: 3:08:13 time: 0.5832 data_time: 0.0371 memory: 12277 loss_text: 0.0421 loss_kernel: 0.0292 loss_embedding: 0.0087 loss: 0.0800 2022/08/26 17:47:38 - mmengine - INFO - Epoch(train) [281][20/63] lr: 5.6719e-04 eta: 3:08:08 time: 0.5678 data_time: 0.0366 memory: 12277 loss_text: 0.0411 loss_kernel: 0.0285 loss_embedding: 0.0081 loss: 0.0777 2022/08/26 17:47:41 - mmengine - INFO - Epoch(train) [281][25/63] lr: 5.6719e-04 eta: 3:08:08 time: 0.5396 data_time: 0.0299 memory: 12277 loss_text: 0.0471 loss_kernel: 0.0317 loss_embedding: 0.0076 loss: 0.0864 2022/08/26 17:47:44 - mmengine - INFO - Epoch(train) [281][30/63] lr: 5.6719e-04 eta: 3:08:02 time: 0.5179 data_time: 0.0247 memory: 12277 loss_text: 0.0610 loss_kernel: 0.0394 loss_embedding: 0.0098 loss: 0.1102 2022/08/26 17:47:46 - mmengine - INFO - Epoch(train) [281][35/63] lr: 5.6719e-04 eta: 3:08:02 time: 0.5132 data_time: 0.0293 memory: 12277 loss_text: 0.0597 loss_kernel: 0.0380 loss_embedding: 0.0094 loss: 0.1071 2022/08/26 17:47:49 - mmengine - INFO - Epoch(train) [281][40/63] lr: 5.6719e-04 eta: 3:07:56 time: 0.5179 data_time: 0.0297 memory: 12277 loss_text: 0.0574 loss_kernel: 0.0361 loss_embedding: 0.0070 loss: 0.1005 2022/08/26 17:47:52 - mmengine - INFO - Epoch(train) [281][45/63] lr: 5.6719e-04 eta: 3:07:56 time: 0.5676 data_time: 0.0252 memory: 12277 loss_text: 0.0718 loss_kernel: 0.0435 loss_embedding: 0.0086 loss: 0.1239 2022/08/26 17:47:56 - mmengine - INFO - Epoch(train) [281][50/63] lr: 5.6719e-04 eta: 3:07:51 time: 0.6921 data_time: 0.0515 memory: 12277 loss_text: 0.0679 loss_kernel: 0.0411 loss_embedding: 0.0102 loss: 0.1193 2022/08/26 17:47:58 - mmengine - INFO - Epoch(train) [281][55/63] lr: 5.6719e-04 eta: 3:07:51 time: 0.6451 data_time: 0.0511 memory: 12277 loss_text: 0.0546 loss_kernel: 0.0344 loss_embedding: 0.0093 loss: 0.0983 2022/08/26 17:48:01 - mmengine - INFO - Epoch(train) [281][60/63] lr: 5.6719e-04 eta: 3:07:45 time: 0.5199 data_time: 0.0262 memory: 12277 loss_text: 0.0526 loss_kernel: 0.0344 loss_embedding: 0.0082 loss: 0.0953 2022/08/26 17:48:02 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:48:06 - mmengine - INFO - Epoch(train) [282][5/63] lr: 5.6559e-04 eta: 3:07:45 time: 0.6241 data_time: 0.1473 memory: 12277 loss_text: 0.0690 loss_kernel: 0.0400 loss_embedding: 0.0095 loss: 0.1185 2022/08/26 17:48:09 - mmengine - INFO - Epoch(train) [282][10/63] lr: 5.6559e-04 eta: 3:07:37 time: 0.6432 data_time: 0.1492 memory: 12277 loss_text: 0.0501 loss_kernel: 0.0353 loss_embedding: 0.0092 loss: 0.0946 2022/08/26 17:48:11 - mmengine - INFO - Epoch(train) [282][15/63] lr: 5.6559e-04 eta: 3:07:37 time: 0.5267 data_time: 0.0303 memory: 12277 loss_text: 0.0451 loss_kernel: 0.0310 loss_embedding: 0.0088 loss: 0.0849 2022/08/26 17:48:15 - mmengine - INFO - Epoch(train) [282][20/63] lr: 5.6559e-04 eta: 3:07:32 time: 0.6029 data_time: 0.0559 memory: 12277 loss_text: 0.0434 loss_kernel: 0.0293 loss_embedding: 0.0085 loss: 0.0812 2022/08/26 17:48:17 - mmengine - INFO - Epoch(train) [282][25/63] lr: 5.6559e-04 eta: 3:07:32 time: 0.6137 data_time: 0.0530 memory: 12277 loss_text: 0.0430 loss_kernel: 0.0292 loss_embedding: 0.0088 loss: 0.0809 2022/08/26 17:48:20 - mmengine - INFO - Epoch(train) [282][30/63] lr: 5.6559e-04 eta: 3:07:26 time: 0.5617 data_time: 0.0300 memory: 12277 loss_text: 0.0568 loss_kernel: 0.0352 loss_embedding: 0.0086 loss: 0.1006 2022/08/26 17:48:23 - mmengine - INFO - Epoch(train) [282][35/63] lr: 5.6559e-04 eta: 3:07:26 time: 0.5670 data_time: 0.0283 memory: 12277 loss_text: 0.0587 loss_kernel: 0.0359 loss_embedding: 0.0087 loss: 0.1033 2022/08/26 17:48:26 - mmengine - INFO - Epoch(train) [282][40/63] lr: 5.6559e-04 eta: 3:07:21 time: 0.5566 data_time: 0.0346 memory: 12277 loss_text: 0.0478 loss_kernel: 0.0297 loss_embedding: 0.0101 loss: 0.0876 2022/08/26 17:48:29 - mmengine - INFO - Epoch(train) [282][45/63] lr: 5.6559e-04 eta: 3:07:21 time: 0.5410 data_time: 0.0312 memory: 12277 loss_text: 0.0495 loss_kernel: 0.0325 loss_embedding: 0.0093 loss: 0.0913 2022/08/26 17:48:31 - mmengine - INFO - Epoch(train) [282][50/63] lr: 5.6559e-04 eta: 3:07:15 time: 0.5411 data_time: 0.0228 memory: 12277 loss_text: 0.0488 loss_kernel: 0.0340 loss_embedding: 0.0083 loss: 0.0911 2022/08/26 17:48:34 - mmengine - INFO - Epoch(train) [282][55/63] lr: 5.6559e-04 eta: 3:07:15 time: 0.5648 data_time: 0.0293 memory: 12277 loss_text: 0.0502 loss_kernel: 0.0315 loss_embedding: 0.0091 loss: 0.0908 2022/08/26 17:48:37 - mmengine - INFO - Epoch(train) [282][60/63] lr: 5.6559e-04 eta: 3:07:10 time: 0.5783 data_time: 0.0295 memory: 12277 loss_text: 0.0500 loss_kernel: 0.0308 loss_embedding: 0.0111 loss: 0.0919 2022/08/26 17:48:38 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:48:43 - mmengine - INFO - Epoch(train) [283][5/63] lr: 5.6399e-04 eta: 3:07:10 time: 0.6957 data_time: 0.1633 memory: 12277 loss_text: 0.0404 loss_kernel: 0.0289 loss_embedding: 0.0078 loss: 0.0771 2022/08/26 17:48:46 - mmengine - INFO - Epoch(train) [283][10/63] lr: 5.6399e-04 eta: 3:07:02 time: 0.7327 data_time: 0.1828 memory: 12277 loss_text: 0.0461 loss_kernel: 0.0315 loss_embedding: 0.0084 loss: 0.0860 2022/08/26 17:48:48 - mmengine - INFO - Epoch(train) [283][15/63] lr: 5.6399e-04 eta: 3:07:02 time: 0.5632 data_time: 0.0403 memory: 12277 loss_text: 0.0510 loss_kernel: 0.0329 loss_embedding: 0.0088 loss: 0.0926 2022/08/26 17:48:51 - mmengine - INFO - Epoch(train) [283][20/63] lr: 5.6399e-04 eta: 3:06:56 time: 0.5419 data_time: 0.0225 memory: 12277 loss_text: 0.0510 loss_kernel: 0.0327 loss_embedding: 0.0106 loss: 0.0944 2022/08/26 17:48:54 - mmengine - INFO - Epoch(train) [283][25/63] lr: 5.6399e-04 eta: 3:06:56 time: 0.5789 data_time: 0.0266 memory: 12277 loss_text: 0.0480 loss_kernel: 0.0315 loss_embedding: 0.0103 loss: 0.0898 2022/08/26 17:48:57 - mmengine - INFO - Epoch(train) [283][30/63] lr: 5.6399e-04 eta: 3:06:51 time: 0.6058 data_time: 0.0536 memory: 12277 loss_text: 0.0414 loss_kernel: 0.0281 loss_embedding: 0.0079 loss: 0.0773 2022/08/26 17:49:00 - mmengine - INFO - Epoch(train) [283][35/63] lr: 5.6399e-04 eta: 3:06:51 time: 0.6058 data_time: 0.0530 memory: 12277 loss_text: 0.0408 loss_kernel: 0.0280 loss_embedding: 0.0075 loss: 0.0762 2022/08/26 17:49:03 - mmengine - INFO - Epoch(train) [283][40/63] lr: 5.6399e-04 eta: 3:06:46 time: 0.6223 data_time: 0.0290 memory: 12277 loss_text: 0.0420 loss_kernel: 0.0322 loss_embedding: 0.0089 loss: 0.0830 2022/08/26 17:49:06 - mmengine - INFO - Epoch(train) [283][45/63] lr: 5.6399e-04 eta: 3:06:46 time: 0.5897 data_time: 0.0274 memory: 12277 loss_text: 0.0445 loss_kernel: 0.0337 loss_embedding: 0.0088 loss: 0.0870 2022/08/26 17:49:09 - mmengine - INFO - Epoch(train) [283][50/63] lr: 5.6399e-04 eta: 3:06:41 time: 0.5626 data_time: 0.0295 memory: 12277 loss_text: 0.0488 loss_kernel: 0.0329 loss_embedding: 0.0089 loss: 0.0906 2022/08/26 17:49:12 - mmengine - INFO - Epoch(train) [283][55/63] lr: 5.6399e-04 eta: 3:06:41 time: 0.5894 data_time: 0.0285 memory: 12277 loss_text: 0.0554 loss_kernel: 0.0347 loss_embedding: 0.0083 loss: 0.0984 2022/08/26 17:49:15 - mmengine - INFO - Epoch(train) [283][60/63] lr: 5.6399e-04 eta: 3:06:36 time: 0.6003 data_time: 0.0288 memory: 12277 loss_text: 0.0546 loss_kernel: 0.0336 loss_embedding: 0.0083 loss: 0.0965 2022/08/26 17:49:17 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:49:21 - mmengine - INFO - Epoch(train) [284][5/63] lr: 5.6239e-04 eta: 3:06:36 time: 0.7092 data_time: 0.2022 memory: 12277 loss_text: 0.0509 loss_kernel: 0.0316 loss_embedding: 0.0091 loss: 0.0915 2022/08/26 17:49:24 - mmengine - INFO - Epoch(train) [284][10/63] lr: 5.6239e-04 eta: 3:06:29 time: 0.7780 data_time: 0.2120 memory: 12277 loss_text: 0.0481 loss_kernel: 0.0312 loss_embedding: 0.0099 loss: 0.0892 2022/08/26 17:49:27 - mmengine - INFO - Epoch(train) [284][15/63] lr: 5.6239e-04 eta: 3:06:29 time: 0.6166 data_time: 0.0341 memory: 12277 loss_text: 0.0437 loss_kernel: 0.0299 loss_embedding: 0.0098 loss: 0.0835 2022/08/26 17:49:30 - mmengine - INFO - Epoch(train) [284][20/63] lr: 5.6239e-04 eta: 3:06:23 time: 0.5648 data_time: 0.0295 memory: 12277 loss_text: 0.0394 loss_kernel: 0.0277 loss_embedding: 0.0081 loss: 0.0751 2022/08/26 17:49:33 - mmengine - INFO - Epoch(train) [284][25/63] lr: 5.6239e-04 eta: 3:06:23 time: 0.5759 data_time: 0.0329 memory: 12277 loss_text: 0.0461 loss_kernel: 0.0284 loss_embedding: 0.0084 loss: 0.0829 2022/08/26 17:49:36 - mmengine - INFO - Epoch(train) [284][30/63] lr: 5.6239e-04 eta: 3:06:18 time: 0.5574 data_time: 0.0319 memory: 12277 loss_text: 0.0548 loss_kernel: 0.0323 loss_embedding: 0.0107 loss: 0.0978 2022/08/26 17:49:39 - mmengine - INFO - Epoch(train) [284][35/63] lr: 5.6239e-04 eta: 3:06:18 time: 0.5598 data_time: 0.0273 memory: 12277 loss_text: 0.0485 loss_kernel: 0.0318 loss_embedding: 0.0104 loss: 0.0906 2022/08/26 17:49:41 - mmengine - INFO - Epoch(train) [284][40/63] lr: 5.6239e-04 eta: 3:06:12 time: 0.5668 data_time: 0.0283 memory: 12277 loss_text: 0.0410 loss_kernel: 0.0286 loss_embedding: 0.0078 loss: 0.0774 2022/08/26 17:49:47 - mmengine - INFO - Epoch(train) [284][45/63] lr: 5.6239e-04 eta: 3:06:12 time: 0.8028 data_time: 0.0389 memory: 12277 loss_text: 0.0508 loss_kernel: 0.0331 loss_embedding: 0.0089 loss: 0.0928 2022/08/26 17:49:49 - mmengine - INFO - Epoch(train) [284][50/63] lr: 5.6239e-04 eta: 3:06:09 time: 0.7871 data_time: 0.0413 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0359 loss_embedding: 0.0098 loss: 0.1023 2022/08/26 17:49:52 - mmengine - INFO - Epoch(train) [284][55/63] lr: 5.6239e-04 eta: 3:06:09 time: 0.5270 data_time: 0.0312 memory: 12277 loss_text: 0.0481 loss_kernel: 0.0345 loss_embedding: 0.0080 loss: 0.0905 2022/08/26 17:49:55 - mmengine - INFO - Epoch(train) [284][60/63] lr: 5.6239e-04 eta: 3:06:03 time: 0.5380 data_time: 0.0268 memory: 12277 loss_text: 0.0437 loss_kernel: 0.0332 loss_embedding: 0.0086 loss: 0.0855 2022/08/26 17:49:56 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:50:00 - mmengine - INFO - Epoch(train) [285][5/63] lr: 5.6078e-04 eta: 3:06:03 time: 0.6205 data_time: 0.1392 memory: 12277 loss_text: 0.0503 loss_kernel: 0.0344 loss_embedding: 0.0084 loss: 0.0931 2022/08/26 17:50:04 - mmengine - INFO - Epoch(train) [285][10/63] lr: 5.6078e-04 eta: 3:05:57 time: 0.7732 data_time: 0.1641 memory: 12277 loss_text: 0.0613 loss_kernel: 0.0405 loss_embedding: 0.0085 loss: 0.1102 2022/08/26 17:50:07 - mmengine - INFO - Epoch(train) [285][15/63] lr: 5.6078e-04 eta: 3:05:57 time: 0.7082 data_time: 0.0475 memory: 12277 loss_text: 0.0705 loss_kernel: 0.0426 loss_embedding: 0.0090 loss: 0.1221 2022/08/26 17:50:10 - mmengine - INFO - Epoch(train) [285][20/63] lr: 5.6078e-04 eta: 3:05:51 time: 0.5876 data_time: 0.0256 memory: 12277 loss_text: 0.0579 loss_kernel: 0.0346 loss_embedding: 0.0089 loss: 0.1014 2022/08/26 17:50:13 - mmengine - INFO - Epoch(train) [285][25/63] lr: 5.6078e-04 eta: 3:05:51 time: 0.5778 data_time: 0.0272 memory: 12277 loss_text: 0.0542 loss_kernel: 0.0308 loss_embedding: 0.0090 loss: 0.0940 2022/08/26 17:50:16 - mmengine - INFO - Epoch(train) [285][30/63] lr: 5.6078e-04 eta: 3:05:46 time: 0.6293 data_time: 0.0364 memory: 12277 loss_text: 0.0501 loss_kernel: 0.0295 loss_embedding: 0.0096 loss: 0.0891 2022/08/26 17:50:19 - mmengine - INFO - Epoch(train) [285][35/63] lr: 5.6078e-04 eta: 3:05:46 time: 0.6022 data_time: 0.0354 memory: 12277 loss_text: 0.0479 loss_kernel: 0.0301 loss_embedding: 0.0100 loss: 0.0879 2022/08/26 17:50:22 - mmengine - INFO - Epoch(train) [285][40/63] lr: 5.6078e-04 eta: 3:05:42 time: 0.6401 data_time: 0.0347 memory: 12277 loss_text: 0.0486 loss_kernel: 0.0304 loss_embedding: 0.0095 loss: 0.0885 2022/08/26 17:50:25 - mmengine - INFO - Epoch(train) [285][45/63] lr: 5.6078e-04 eta: 3:05:42 time: 0.6350 data_time: 0.0325 memory: 12277 loss_text: 0.0510 loss_kernel: 0.0308 loss_embedding: 0.0091 loss: 0.0909 2022/08/26 17:50:28 - mmengine - INFO - Epoch(train) [285][50/63] lr: 5.6078e-04 eta: 3:05:36 time: 0.5322 data_time: 0.0305 memory: 12277 loss_text: 0.0568 loss_kernel: 0.0334 loss_embedding: 0.0086 loss: 0.0989 2022/08/26 17:50:30 - mmengine - INFO - Epoch(train) [285][55/63] lr: 5.6078e-04 eta: 3:05:36 time: 0.5230 data_time: 0.0333 memory: 12277 loss_text: 0.0594 loss_kernel: 0.0348 loss_embedding: 0.0078 loss: 0.1020 2022/08/26 17:50:33 - mmengine - INFO - Epoch(train) [285][60/63] lr: 5.6078e-04 eta: 3:05:30 time: 0.5065 data_time: 0.0228 memory: 12277 loss_text: 0.0560 loss_kernel: 0.0360 loss_embedding: 0.0068 loss: 0.0987 2022/08/26 17:50:34 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:50:39 - mmengine - INFO - Epoch(train) [286][5/63] lr: 5.5918e-04 eta: 3:05:30 time: 0.7076 data_time: 0.2112 memory: 12277 loss_text: 0.0471 loss_kernel: 0.0326 loss_embedding: 0.0091 loss: 0.0888 2022/08/26 17:50:42 - mmengine - INFO - Epoch(train) [286][10/63] lr: 5.5918e-04 eta: 3:05:22 time: 0.7447 data_time: 0.2251 memory: 12277 loss_text: 0.0468 loss_kernel: 0.0294 loss_embedding: 0.0077 loss: 0.0839 2022/08/26 17:50:44 - mmengine - INFO - Epoch(train) [286][15/63] lr: 5.5918e-04 eta: 3:05:22 time: 0.5298 data_time: 0.0349 memory: 12277 loss_text: 0.0431 loss_kernel: 0.0287 loss_embedding: 0.0088 loss: 0.0807 2022/08/26 17:50:47 - mmengine - INFO - Epoch(train) [286][20/63] lr: 5.5918e-04 eta: 3:05:16 time: 0.5136 data_time: 0.0211 memory: 12277 loss_text: 0.0417 loss_kernel: 0.0294 loss_embedding: 0.0089 loss: 0.0800 2022/08/26 17:50:50 - mmengine - INFO - Epoch(train) [286][25/63] lr: 5.5918e-04 eta: 3:05:16 time: 0.5397 data_time: 0.0289 memory: 12277 loss_text: 0.0430 loss_kernel: 0.0286 loss_embedding: 0.0084 loss: 0.0800 2022/08/26 17:50:53 - mmengine - INFO - Epoch(train) [286][30/63] lr: 5.5918e-04 eta: 3:05:11 time: 0.5981 data_time: 0.0443 memory: 12277 loss_text: 0.0466 loss_kernel: 0.0309 loss_embedding: 0.0088 loss: 0.0864 2022/08/26 17:50:56 - mmengine - INFO - Epoch(train) [286][35/63] lr: 5.5918e-04 eta: 3:05:11 time: 0.5952 data_time: 0.0394 memory: 12277 loss_text: 0.0574 loss_kernel: 0.0333 loss_embedding: 0.0083 loss: 0.0991 2022/08/26 17:50:58 - mmengine - INFO - Epoch(train) [286][40/63] lr: 5.5918e-04 eta: 3:05:05 time: 0.5387 data_time: 0.0250 memory: 12277 loss_text: 0.0632 loss_kernel: 0.0415 loss_embedding: 0.0088 loss: 0.1135 2022/08/26 17:51:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:51:01 - mmengine - INFO - Epoch(train) [286][45/63] lr: 5.5918e-04 eta: 3:05:05 time: 0.5144 data_time: 0.0238 memory: 12277 loss_text: 0.0534 loss_kernel: 0.0408 loss_embedding: 0.0088 loss: 0.1030 2022/08/26 17:51:03 - mmengine - INFO - Epoch(train) [286][50/63] lr: 5.5918e-04 eta: 3:04:59 time: 0.5227 data_time: 0.0319 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0341 loss_embedding: 0.0092 loss: 0.0999 2022/08/26 17:51:06 - mmengine - INFO - Epoch(train) [286][55/63] lr: 5.5918e-04 eta: 3:04:59 time: 0.5509 data_time: 0.0330 memory: 12277 loss_text: 0.0609 loss_kernel: 0.0352 loss_embedding: 0.0098 loss: 0.1059 2022/08/26 17:51:09 - mmengine - INFO - Epoch(train) [286][60/63] lr: 5.5918e-04 eta: 3:04:53 time: 0.5463 data_time: 0.0242 memory: 12277 loss_text: 0.0613 loss_kernel: 0.0366 loss_embedding: 0.0084 loss: 0.1064 2022/08/26 17:51:10 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:51:16 - mmengine - INFO - Epoch(train) [287][5/63] lr: 5.5758e-04 eta: 3:04:53 time: 0.7783 data_time: 0.2304 memory: 12277 loss_text: 0.0625 loss_kernel: 0.0384 loss_embedding: 0.0089 loss: 0.1098 2022/08/26 17:51:18 - mmengine - INFO - Epoch(train) [287][10/63] lr: 5.5758e-04 eta: 3:04:47 time: 0.8180 data_time: 0.2389 memory: 12277 loss_text: 0.0524 loss_kernel: 0.0337 loss_embedding: 0.0102 loss: 0.0963 2022/08/26 17:51:21 - mmengine - INFO - Epoch(train) [287][15/63] lr: 5.5758e-04 eta: 3:04:47 time: 0.5356 data_time: 0.0307 memory: 12277 loss_text: 0.0504 loss_kernel: 0.0315 loss_embedding: 0.0094 loss: 0.0914 2022/08/26 17:51:24 - mmengine - INFO - Epoch(train) [287][20/63] lr: 5.5758e-04 eta: 3:04:41 time: 0.5136 data_time: 0.0247 memory: 12277 loss_text: 0.0497 loss_kernel: 0.0320 loss_embedding: 0.0091 loss: 0.0908 2022/08/26 17:51:26 - mmengine - INFO - Epoch(train) [287][25/63] lr: 5.5758e-04 eta: 3:04:41 time: 0.5045 data_time: 0.0212 memory: 12277 loss_text: 0.0489 loss_kernel: 0.0327 loss_embedding: 0.0091 loss: 0.0908 2022/08/26 17:51:29 - mmengine - INFO - Epoch(train) [287][30/63] lr: 5.5758e-04 eta: 3:04:35 time: 0.5028 data_time: 0.0282 memory: 12277 loss_text: 0.0485 loss_kernel: 0.0321 loss_embedding: 0.0087 loss: 0.0893 2022/08/26 17:51:31 - mmengine - INFO - Epoch(train) [287][35/63] lr: 5.5758e-04 eta: 3:04:35 time: 0.5384 data_time: 0.0335 memory: 12277 loss_text: 0.0519 loss_kernel: 0.0360 loss_embedding: 0.0093 loss: 0.0972 2022/08/26 17:51:35 - mmengine - INFO - Epoch(train) [287][40/63] lr: 5.5758e-04 eta: 3:04:30 time: 0.6080 data_time: 0.0273 memory: 12277 loss_text: 0.0567 loss_kernel: 0.0374 loss_embedding: 0.0076 loss: 0.1017 2022/08/26 17:51:37 - mmengine - INFO - Epoch(train) [287][45/63] lr: 5.5758e-04 eta: 3:04:30 time: 0.6017 data_time: 0.0259 memory: 12277 loss_text: 0.0524 loss_kernel: 0.0313 loss_embedding: 0.0073 loss: 0.0910 2022/08/26 17:51:40 - mmengine - INFO - Epoch(train) [287][50/63] lr: 5.5758e-04 eta: 3:04:24 time: 0.5505 data_time: 0.0304 memory: 12277 loss_text: 0.0492 loss_kernel: 0.0305 loss_embedding: 0.0092 loss: 0.0889 2022/08/26 17:51:43 - mmengine - INFO - Epoch(train) [287][55/63] lr: 5.5758e-04 eta: 3:04:24 time: 0.5397 data_time: 0.0286 memory: 12277 loss_text: 0.0441 loss_kernel: 0.0301 loss_embedding: 0.0097 loss: 0.0839 2022/08/26 17:51:45 - mmengine - INFO - Epoch(train) [287][60/63] lr: 5.5758e-04 eta: 3:04:18 time: 0.5324 data_time: 0.0266 memory: 12277 loss_text: 0.0427 loss_kernel: 0.0296 loss_embedding: 0.0098 loss: 0.0821 2022/08/26 17:51:47 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:51:51 - mmengine - INFO - Epoch(train) [288][5/63] lr: 5.5597e-04 eta: 3:04:18 time: 0.6896 data_time: 0.1917 memory: 12277 loss_text: 0.0462 loss_kernel: 0.0318 loss_embedding: 0.0105 loss: 0.0885 2022/08/26 17:51:54 - mmengine - INFO - Epoch(train) [288][10/63] lr: 5.5597e-04 eta: 3:04:11 time: 0.7388 data_time: 0.2031 memory: 12277 loss_text: 0.0462 loss_kernel: 0.0321 loss_embedding: 0.0101 loss: 0.0884 2022/08/26 17:51:57 - mmengine - INFO - Epoch(train) [288][15/63] lr: 5.5597e-04 eta: 3:04:11 time: 0.5865 data_time: 0.0406 memory: 12277 loss_text: 0.0478 loss_kernel: 0.0319 loss_embedding: 0.0116 loss: 0.0913 2022/08/26 17:52:00 - mmengine - INFO - Epoch(train) [288][20/63] lr: 5.5597e-04 eta: 3:04:05 time: 0.5596 data_time: 0.0309 memory: 12277 loss_text: 0.0643 loss_kernel: 0.0364 loss_embedding: 0.0121 loss: 0.1128 2022/08/26 17:52:03 - mmengine - INFO - Epoch(train) [288][25/63] lr: 5.5597e-04 eta: 3:04:05 time: 0.5559 data_time: 0.0263 memory: 12277 loss_text: 0.0624 loss_kernel: 0.0362 loss_embedding: 0.0108 loss: 0.1093 2022/08/26 17:52:06 - mmengine - INFO - Epoch(train) [288][30/63] lr: 5.5597e-04 eta: 3:04:00 time: 0.5962 data_time: 0.0338 memory: 12277 loss_text: 0.0429 loss_kernel: 0.0301 loss_embedding: 0.0087 loss: 0.0817 2022/08/26 17:52:08 - mmengine - INFO - Epoch(train) [288][35/63] lr: 5.5597e-04 eta: 3:04:00 time: 0.5712 data_time: 0.0313 memory: 12277 loss_text: 0.0480 loss_kernel: 0.0300 loss_embedding: 0.0090 loss: 0.0869 2022/08/26 17:52:11 - mmengine - INFO - Epoch(train) [288][40/63] lr: 5.5597e-04 eta: 3:03:54 time: 0.5259 data_time: 0.0223 memory: 12277 loss_text: 0.0475 loss_kernel: 0.0302 loss_embedding: 0.0093 loss: 0.0869 2022/08/26 17:52:14 - mmengine - INFO - Epoch(train) [288][45/63] lr: 5.5597e-04 eta: 3:03:54 time: 0.5413 data_time: 0.0220 memory: 12277 loss_text: 0.0449 loss_kernel: 0.0297 loss_embedding: 0.0086 loss: 0.0832 2022/08/26 17:52:17 - mmengine - INFO - Epoch(train) [288][50/63] lr: 5.5597e-04 eta: 3:03:49 time: 0.5807 data_time: 0.0500 memory: 12277 loss_text: 0.0574 loss_kernel: 0.0323 loss_embedding: 0.0072 loss: 0.0969 2022/08/26 17:52:20 - mmengine - INFO - Epoch(train) [288][55/63] lr: 5.5597e-04 eta: 3:03:49 time: 0.5716 data_time: 0.0556 memory: 12277 loss_text: 0.0635 loss_kernel: 0.0350 loss_embedding: 0.0077 loss: 0.1063 2022/08/26 17:52:23 - mmengine - INFO - Epoch(train) [288][60/63] lr: 5.5597e-04 eta: 3:03:43 time: 0.5664 data_time: 0.0396 memory: 12277 loss_text: 0.0566 loss_kernel: 0.0334 loss_embedding: 0.0089 loss: 0.0989 2022/08/26 17:52:24 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:52:28 - mmengine - INFO - Epoch(train) [289][5/63] lr: 5.5437e-04 eta: 3:03:43 time: 0.6237 data_time: 0.1431 memory: 12277 loss_text: 0.0527 loss_kernel: 0.0339 loss_embedding: 0.0100 loss: 0.0967 2022/08/26 17:52:30 - mmengine - INFO - Epoch(train) [289][10/63] lr: 5.5437e-04 eta: 3:03:35 time: 0.6463 data_time: 0.1429 memory: 12277 loss_text: 0.0550 loss_kernel: 0.0342 loss_embedding: 0.0092 loss: 0.0984 2022/08/26 17:52:33 - mmengine - INFO - Epoch(train) [289][15/63] lr: 5.5437e-04 eta: 3:03:35 time: 0.5628 data_time: 0.0348 memory: 12277 loss_text: 0.0549 loss_kernel: 0.0344 loss_embedding: 0.0094 loss: 0.0987 2022/08/26 17:52:36 - mmengine - INFO - Epoch(train) [289][20/63] lr: 5.5437e-04 eta: 3:03:29 time: 0.5667 data_time: 0.0290 memory: 12277 loss_text: 0.0604 loss_kernel: 0.0374 loss_embedding: 0.0094 loss: 0.1072 2022/08/26 17:52:39 - mmengine - INFO - Epoch(train) [289][25/63] lr: 5.5437e-04 eta: 3:03:29 time: 0.5602 data_time: 0.0264 memory: 12277 loss_text: 0.0541 loss_kernel: 0.0334 loss_embedding: 0.0106 loss: 0.0981 2022/08/26 17:52:42 - mmengine - INFO - Epoch(train) [289][30/63] lr: 5.5437e-04 eta: 3:03:24 time: 0.5540 data_time: 0.0275 memory: 12277 loss_text: 0.0469 loss_kernel: 0.0328 loss_embedding: 0.0127 loss: 0.0924 2022/08/26 17:52:45 - mmengine - INFO - Epoch(train) [289][35/63] lr: 5.5437e-04 eta: 3:03:24 time: 0.6383 data_time: 0.0289 memory: 12277 loss_text: 0.0529 loss_kernel: 0.0367 loss_embedding: 0.0116 loss: 0.1012 2022/08/26 17:52:48 - mmengine - INFO - Epoch(train) [289][40/63] lr: 5.5437e-04 eta: 3:03:19 time: 0.6333 data_time: 0.0257 memory: 12277 loss_text: 0.0569 loss_kernel: 0.0376 loss_embedding: 0.0083 loss: 0.1029 2022/08/26 17:52:51 - mmengine - INFO - Epoch(train) [289][45/63] lr: 5.5437e-04 eta: 3:03:19 time: 0.5355 data_time: 0.0267 memory: 12277 loss_text: 0.0501 loss_kernel: 0.0339 loss_embedding: 0.0070 loss: 0.0910 2022/08/26 17:52:53 - mmengine - INFO - Epoch(train) [289][50/63] lr: 5.5437e-04 eta: 3:03:13 time: 0.5606 data_time: 0.0330 memory: 12277 loss_text: 0.0494 loss_kernel: 0.0316 loss_embedding: 0.0107 loss: 0.0918 2022/08/26 17:52:56 - mmengine - INFO - Epoch(train) [289][55/63] lr: 5.5437e-04 eta: 3:03:13 time: 0.5571 data_time: 0.0281 memory: 12277 loss_text: 0.0513 loss_kernel: 0.0319 loss_embedding: 0.0126 loss: 0.0957 2022/08/26 17:52:59 - mmengine - INFO - Epoch(train) [289][60/63] lr: 5.5437e-04 eta: 3:03:07 time: 0.5301 data_time: 0.0205 memory: 12277 loss_text: 0.0506 loss_kernel: 0.0302 loss_embedding: 0.0100 loss: 0.0908 2022/08/26 17:53:01 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:53:05 - mmengine - INFO - Epoch(train) [290][5/63] lr: 5.5277e-04 eta: 3:03:07 time: 0.6880 data_time: 0.1542 memory: 12277 loss_text: 0.0489 loss_kernel: 0.0312 loss_embedding: 0.0095 loss: 0.0896 2022/08/26 17:53:07 - mmengine - INFO - Epoch(train) [290][10/63] lr: 5.5277e-04 eta: 3:03:00 time: 0.6853 data_time: 0.1600 memory: 12277 loss_text: 0.0447 loss_kernel: 0.0299 loss_embedding: 0.0100 loss: 0.0846 2022/08/26 17:53:10 - mmengine - INFO - Epoch(train) [290][15/63] lr: 5.5277e-04 eta: 3:03:00 time: 0.5651 data_time: 0.0324 memory: 12277 loss_text: 0.0526 loss_kernel: 0.0309 loss_embedding: 0.0102 loss: 0.0937 2022/08/26 17:53:13 - mmengine - INFO - Epoch(train) [290][20/63] lr: 5.5277e-04 eta: 3:02:54 time: 0.5431 data_time: 0.0240 memory: 12277 loss_text: 0.0498 loss_kernel: 0.0296 loss_embedding: 0.0086 loss: 0.0879 2022/08/26 17:53:15 - mmengine - INFO - Epoch(train) [290][25/63] lr: 5.5277e-04 eta: 3:02:54 time: 0.5196 data_time: 0.0196 memory: 12277 loss_text: 0.0474 loss_kernel: 0.0337 loss_embedding: 0.0092 loss: 0.0903 2022/08/26 17:53:18 - mmengine - INFO - Epoch(train) [290][30/63] lr: 5.5277e-04 eta: 3:02:48 time: 0.5409 data_time: 0.0240 memory: 12277 loss_text: 0.0551 loss_kernel: 0.0380 loss_embedding: 0.0106 loss: 0.1037 2022/08/26 17:53:21 - mmengine - INFO - Epoch(train) [290][35/63] lr: 5.5277e-04 eta: 3:02:48 time: 0.5524 data_time: 0.0255 memory: 12277 loss_text: 0.0537 loss_kernel: 0.0344 loss_embedding: 0.0095 loss: 0.0976 2022/08/26 17:53:24 - mmengine - INFO - Epoch(train) [290][40/63] lr: 5.5277e-04 eta: 3:02:42 time: 0.5567 data_time: 0.0435 memory: 12277 loss_text: 0.0617 loss_kernel: 0.0340 loss_embedding: 0.0079 loss: 0.1037 2022/08/26 17:53:27 - mmengine - INFO - Epoch(train) [290][45/63] lr: 5.5277e-04 eta: 3:02:42 time: 0.5919 data_time: 0.0645 memory: 12277 loss_text: 0.0575 loss_kernel: 0.0326 loss_embedding: 0.0079 loss: 0.0980 2022/08/26 17:53:30 - mmengine - INFO - Epoch(train) [290][50/63] lr: 5.5277e-04 eta: 3:02:37 time: 0.5843 data_time: 0.0478 memory: 12277 loss_text: 0.0442 loss_kernel: 0.0296 loss_embedding: 0.0079 loss: 0.0817 2022/08/26 17:53:33 - mmengine - INFO - Epoch(train) [290][55/63] lr: 5.5277e-04 eta: 3:02:37 time: 0.5769 data_time: 0.0282 memory: 12277 loss_text: 0.0503 loss_kernel: 0.0317 loss_embedding: 0.0077 loss: 0.0897 2022/08/26 17:53:35 - mmengine - INFO - Epoch(train) [290][60/63] lr: 5.5277e-04 eta: 3:02:32 time: 0.5831 data_time: 0.0294 memory: 12277 loss_text: 0.0524 loss_kernel: 0.0333 loss_embedding: 0.0086 loss: 0.0943 2022/08/26 17:53:37 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:53:41 - mmengine - INFO - Epoch(train) [291][5/63] lr: 5.5116e-04 eta: 3:02:32 time: 0.7150 data_time: 0.1877 memory: 12277 loss_text: 0.0545 loss_kernel: 0.0366 loss_embedding: 0.0097 loss: 0.1009 2022/08/26 17:53:45 - mmengine - INFO - Epoch(train) [291][10/63] lr: 5.5116e-04 eta: 3:02:25 time: 0.7769 data_time: 0.2048 memory: 12277 loss_text: 0.0630 loss_kernel: 0.0389 loss_embedding: 0.0082 loss: 0.1100 2022/08/26 17:53:48 - mmengine - INFO - Epoch(train) [291][15/63] lr: 5.5116e-04 eta: 3:02:25 time: 0.6104 data_time: 0.0495 memory: 12277 loss_text: 0.0567 loss_kernel: 0.0322 loss_embedding: 0.0083 loss: 0.0973 2022/08/26 17:53:50 - mmengine - INFO - Epoch(train) [291][20/63] lr: 5.5116e-04 eta: 3:02:19 time: 0.5576 data_time: 0.0365 memory: 12277 loss_text: 0.0512 loss_kernel: 0.0326 loss_embedding: 0.0088 loss: 0.0927 2022/08/26 17:53:53 - mmengine - INFO - Epoch(train) [291][25/63] lr: 5.5116e-04 eta: 3:02:19 time: 0.5633 data_time: 0.0275 memory: 12277 loss_text: 0.0507 loss_kernel: 0.0329 loss_embedding: 0.0078 loss: 0.0913 2022/08/26 17:53:56 - mmengine - INFO - Epoch(train) [291][30/63] lr: 5.5116e-04 eta: 3:02:14 time: 0.5711 data_time: 0.0313 memory: 12277 loss_text: 0.0483 loss_kernel: 0.0321 loss_embedding: 0.0084 loss: 0.0887 2022/08/26 17:53:59 - mmengine - INFO - Epoch(train) [291][35/63] lr: 5.5116e-04 eta: 3:02:14 time: 0.5423 data_time: 0.0323 memory: 12277 loss_text: 0.0472 loss_kernel: 0.0326 loss_embedding: 0.0083 loss: 0.0881 2022/08/26 17:54:02 - mmengine - INFO - Epoch(train) [291][40/63] lr: 5.5116e-04 eta: 3:02:08 time: 0.5598 data_time: 0.0264 memory: 12277 loss_text: 0.0437 loss_kernel: 0.0299 loss_embedding: 0.0082 loss: 0.0818 2022/08/26 17:54:05 - mmengine - INFO - Epoch(train) [291][45/63] lr: 5.5116e-04 eta: 3:02:08 time: 0.6083 data_time: 0.0282 memory: 12277 loss_text: 0.0429 loss_kernel: 0.0307 loss_embedding: 0.0098 loss: 0.0833 2022/08/26 17:54:08 - mmengine - INFO - Epoch(train) [291][50/63] lr: 5.5116e-04 eta: 3:02:03 time: 0.6227 data_time: 0.0328 memory: 12277 loss_text: 0.0452 loss_kernel: 0.0321 loss_embedding: 0.0099 loss: 0.0872 2022/08/26 17:54:11 - mmengine - INFO - Epoch(train) [291][55/63] lr: 5.5116e-04 eta: 3:02:03 time: 0.5913 data_time: 0.0300 memory: 12277 loss_text: 0.0497 loss_kernel: 0.0304 loss_embedding: 0.0098 loss: 0.0899 2022/08/26 17:54:14 - mmengine - INFO - Epoch(train) [291][60/63] lr: 5.5116e-04 eta: 3:01:59 time: 0.6586 data_time: 0.0309 memory: 12277 loss_text: 0.0477 loss_kernel: 0.0272 loss_embedding: 0.0085 loss: 0.0834 2022/08/26 17:54:16 - mmengine - INFO - Exp name: panet_resnet18_fpem-ffm_600e_ctw1500_20220826_144818 2022/08/26 17:54:20 - mmengine - INFO - Epoch(train) [292][5/63] lr: 5.4956e-04 eta: 3:01:59 time: 0.6620 data_time: 0.1524 memory: 12277 loss_text: 0.0652 loss_kernel: 0.0386 loss_embedding: 0.0084 loss: 0.1122 2022/08/26 17:54:22 - mmengine - INFO - Epoch(train) [292][10/63] lr: 5.4956e-04 eta: 3:01:51 time: 0.6633 data_time: 0.1513 memory: 12277 loss_text: 0.0621 loss_kernel: 0.0397 loss_embedding: 0.0090 loss: 0.1107 2022/08/26 17:54:25 - mmengine - INFO - Epoch(train) [292][15/63] lr: 5.4956e-04 eta: 3:01:51 time: 0.5689 data_time: 0.0372 memory: 12277 loss_text: 0.0485 loss_kernel: 0.0309 loss_embedding: 0.0106 loss: 0.0900 2022/08/26 17:54:28 - mmengine - INFO - Epoch(train) [292][20/63] lr: 5.4956e-04 eta: 3:01:45 time: 0.5601 data_time: 0.0362 memory: 12277 loss_text: 0.0485 loss_kernel: 0.0307 loss_embedding: 0.0084 loss: 0.0875 2022/08/26 17:54:31 - mmengine - INFO - Epoch(train) [292][25/63] lr: 5.4956e-04 eta: 3:01:45 time: 0.5544 data_time: 0.0250 memory: 12277 loss_text: 0.0561 loss_kernel: 0.0355 loss_embedding: 0.0073 loss: 0.0989 2022/08/26 17:54:34 - mmengine - INFO - Epoch(train) [292][30/63] lr: 5.4956e-04 eta: 3:01:40 time: 0.6029 data_time: 0.0272 memory: 12277 loss_text: 0.0575 loss_kernel: 0.0355 loss_embedding: 0.0091 loss: 0.1021 2022/08/26 17:54:37 - mmengine - INFO - Epoch(train) [292][35/63] lr: 5.4956e-04 eta: 3:01:40 time: 0.5984 data_time: 0.0297 memory: 12277 loss_text: 0.0512 loss_kernel: 0.0342 loss_embedding: 0.0093 loss: 0.0946 2022/08/26 17:54:40 - mmengine - INFO - Epoch(train) [292][40/63] lr: 5.4956e-04 eta: 3:01:34 time: 0.5478 data_time: 0.0228 memory: 12277 loss_text: 0.0610 loss_kernel: 0.0393 loss_embedding: 0.0087 loss: 0.1090 2022/08/26 17:54:43 - mmengine - INFO - Epoch(train) [292][45/63] lr: 5.4956e-04 eta: 3:01:34 time: 0.62