2022/09/15 15:24:53 - 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: 1245008954 GPU 0,1,2,3: 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: 0.1.0 Runtime environment: cudnn_benchmark: True mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None Distributed launcher: slurm Distributed training: True GPU number: 4 ------------------------------------------------------------ 2022/09/15 15:24:54 - mmengine - INFO - Config: mj_rec_data_root = 'data/rec/Syn90k/' mj_rec_train = dict( type='OCRDataset', data_root='data/rec/Syn90k/', data_prefix=dict(img_path='mnt/ramdisk/max/90kDICT32px'), ann_file='train_labels.json', test_mode=False, pipeline=None) mj_sub_rec_train = dict( type='OCRDataset', data_root='data/rec/Syn90k/', data_prefix=dict(img_path='mnt/ramdisk/max/90kDICT32px'), ann_file='subset_train_labels.json', test_mode=False, pipeline=None) st_data_root = 'data/rec/SynthText/' st_rec_train = dict( type='OCRDataset', data_root='data/rec/SynthText/', data_prefix=dict(img_path='synthtext/SynthText_patch_horizontal'), ann_file='train_labels.json', test_mode=False, pipeline=None) st_an_rec_train = dict( type='OCRDataset', data_root='data/rec/SynthText/', data_prefix=dict(img_path='synthtext/SynthText_patch_horizontal'), ann_file='alphanumeric_train_labels.json', test_mode=False, pipeline=None) st_sub_rec_train = dict( type='OCRDataset', data_root='data/rec/SynthText/', data_prefix=dict(img_path='synthtext/SynthText_patch_horizontal'), ann_file='subset_train_labels.json', test_mode=False, pipeline=None) cute80_rec_data_root = 'data/rec/ct80/' cute80_rec_test = dict( type='OCRDataset', data_root='data/rec/ct80/', ann_file='test_labels.json', test_mode=True, pipeline=None) iiit5k_rec_data_root = 'data/rec/IIIT5K/' iiit5k_rec_train = dict( type='OCRDataset', data_root='data/rec/IIIT5K/', ann_file='train_labels.json', test_mode=False, pipeline=None) iiit5k_rec_test = dict( type='OCRDataset', data_root='data/rec/IIIT5K/', ann_file='test_labels.json', test_mode=True, pipeline=None) svt_rec_data_root = 'data/rec/svt/' svt_rec_test = dict( type='OCRDataset', data_root='data/rec/svt/', ann_file='test_labels.json', test_mode=True, pipeline=None) svtp_rec_data_root = 'data/rec/svtp/' svtp_rec_test = dict( type='OCRDataset', data_root='data/rec/svtp/', ann_file='test_labels.json', test_mode=True, pipeline=None) ic13_rec_data_root = 'data/rec/icdar_2013/' ic13_rec_train = dict( type='OCRDataset', data_root='data/rec/icdar_2013/', ann_file='train_labels.json', test_mode=False, pipeline=None) ic13_rec_test = dict( type='OCRDataset', data_root='data/rec/icdar_2013/', ann_file='test_labels.json', test_mode=True, pipeline=None) ic15_rec_data_root = 'data/rec/icdar_2015/' ic15_rec_train = dict( type='OCRDataset', data_root='data/rec/icdar_2015/', ann_file='train_labels.json', test_mode=False, pipeline=None) ic15_rec_test = dict( type='OCRDataset', data_root='data/rec/icdar_2015/', ann_file='test_labels.json', test_mode=True, pipeline=None) 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=100), param_scheduler=dict(type='ParamSchedulerHook'), checkpoint=dict( type='CheckpointHook', interval=1, out_dir='sproject:s3://1.0.0rc0_recog_retest'), sampler_seed=dict(type='DistSamplerSeedHook'), sync_buffer=dict(type='SyncBuffersHook'), visualization=dict( type='VisualizationHook', interval=1, enable=False, show=False, draw_gt=False, draw_pred=False)) log_level = 'INFO' log_processor = dict(type='LogProcessor', window_size=10, by_epoch=True) load_from = None resume = False val_evaluator = dict( type='MultiDatasetsEvaluator', metrics=[dict(type='WordMetric', mode=['ignore_case_symbol'])], dataset_prefixes=['CUTE80', 'IIIT5K', 'SVT', 'SVTP', 'IC13', 'IC15']) test_evaluator = dict( type='MultiDatasetsEvaluator', metrics=[dict(type='WordMetric', mode=['ignore_case_symbol'])], dataset_prefixes=['CUTE80', 'IIIT5K', 'SVT', 'SVTP', 'IC13', 'IC15']) vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='TextRecogLocalVisualizer', name='visualizer', vis_backends=[dict(type='LocalVisBackend')]) optim_wrapper = dict( type='OptimWrapper', optimizer=dict(type='Adam', lr=0.0003)) train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=5, val_interval=1) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') param_scheduler = [dict(type='MultiStepLR', milestones=[3, 4], end=5)] file_client_args = dict(backend='disk') dictionary = dict( type='Dictionary', dict_file= 'configs/textrecog/satrn/../../../dicts/english_digits_symbols.txt', with_padding=True, with_unknown=True, same_start_end=True, with_start=True, with_end=True) model = dict( type='SATRN', backbone=dict(type='ShallowCNN', input_channels=3, hidden_dim=512), encoder=dict( type='SATRNEncoder', n_layers=12, n_head=8, d_k=64, d_v=64, d_model=512, n_position=100, d_inner=2048, dropout=0.1), decoder=dict( type='NRTRDecoder', n_layers=6, d_embedding=512, n_head=8, d_model=512, d_inner=2048, d_k=64, d_v=64, module_loss=dict( type='CEModuleLoss', flatten=True, ignore_first_char=True), dictionary=dict( type='Dictionary', dict_file= 'configs/textrecog/satrn/../../../dicts/english_digits_symbols.txt', with_padding=True, with_unknown=True, same_start_end=True, with_start=True, with_end=True), max_seq_len=25, postprocessor=dict(type='AttentionPostprocessor')), data_preprocessor=dict( type='TextRecogDataPreprocessor', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375])) train_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), ignore_empty=True, min_size=2), dict(type='LoadOCRAnnotations', with_text=True), dict(type='Resize', scale=(100, 32), keep_ratio=False), dict( type='PackTextRecogInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio')) ] test_pipeline = [ dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')), dict(type='Resize', scale=(100, 32), keep_ratio=False), dict(type='LoadOCRAnnotations', with_text=True), dict( type='PackTextRecogInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio')) ] train_list = [ dict( type='OCRDataset', data_root='data/rec/Syn90k/', data_prefix=dict(img_path='mnt/ramdisk/max/90kDICT32px'), ann_file='train_labels.json', test_mode=False, pipeline=None), dict( type='OCRDataset', data_root='data/rec/SynthText/', data_prefix=dict(img_path='synthtext/SynthText_patch_horizontal'), ann_file='train_labels.json', test_mode=False, pipeline=None) ] test_list = [ dict( type='OCRDataset', data_root='data/rec/ct80/', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/rec/IIIT5K/', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/rec/svt/', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/rec/svtp/', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/rec/icdar_2013/', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/rec/icdar_2015/', ann_file='test_labels.json', test_mode=True, pipeline=None) ] train_dataset = dict( type='ConcatDataset', datasets=[ dict( type='OCRDataset', data_root='data/rec/Syn90k/', data_prefix=dict(img_path='mnt/ramdisk/max/90kDICT32px'), ann_file='train_labels.json', test_mode=False, pipeline=None), dict( type='OCRDataset', data_root='data/rec/SynthText/', data_prefix=dict(img_path='synthtext/SynthText_patch_horizontal'), ann_file='train_labels.json', test_mode=False, pipeline=None) ], pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), ignore_empty=True, min_size=2), dict(type='LoadOCRAnnotations', with_text=True), dict(type='Resize', scale=(100, 32), keep_ratio=False), dict( type='PackTextRecogInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio')) ]) test_dataset = dict( type='ConcatDataset', datasets=[ dict( type='OCRDataset', data_root='data/rec/ct80/', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/rec/IIIT5K/', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/rec/svt/', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/rec/svtp/', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/rec/icdar_2013/', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/rec/icdar_2015/', ann_file='test_labels.json', test_mode=True, pipeline=None) ], pipeline=[ dict(type='LoadImageFromFile', file_client_args=dict(backend='disk')), dict(type='Resize', scale=(100, 32), keep_ratio=False), dict(type='LoadOCRAnnotations', with_text=True), dict( type='PackTextRecogInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio')) ]) train_dataloader = dict( batch_size=128, num_workers=24, persistent_workers=True, sampler=dict(type='DefaultSampler', shuffle=True), dataset=dict( type='ConcatDataset', datasets=[ dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/recog/Syn90k', data_prefix=dict(img_path='mnt/ramdisk/max/90kDICT32px'), ann_file='train_labels.json', test_mode=False, pipeline=None), dict( type='OCRDataset', data_root= 'openmmlab:s3://openmmlab/datasets/ocr/recog/SynthText', data_prefix=dict( img_path='synthtext/SynthText_patch_horizontal'), ann_file='train_labels.json', test_mode=False, pipeline=None) ], pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel'), ignore_empty=True, min_size=2), dict(type='LoadOCRAnnotations', with_text=True), dict(type='Resize', scale=(100, 32), keep_ratio=False), dict( type='PackTextRecogInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio')) ])) test_dataloader = dict( batch_size=1, num_workers=4, persistent_workers=True, drop_last=False, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='ConcatDataset', datasets=[ dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/recog/ct80', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/recog/IIIT5K', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/recog/svt', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/recog/svtp', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root= 'openmmlab:s3://openmmlab/datasets/ocr/recog/icdar_2013', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root= 'openmmlab:s3://openmmlab/datasets/ocr/recog/icdar_2015', ann_file='test_labels.json', test_mode=True, pipeline=None) ], pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel')), dict(type='Resize', scale=(100, 32), keep_ratio=False), dict(type='LoadOCRAnnotations', with_text=True), dict( type='PackTextRecogInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio')) ])) val_dataloader = dict( batch_size=1, num_workers=4, persistent_workers=True, drop_last=False, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='ConcatDataset', datasets=[ dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/recog/ct80', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/recog/IIIT5K', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/recog/svt', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='openmmlab:s3://openmmlab/datasets/ocr/recog/svtp', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root= 'openmmlab:s3://openmmlab/datasets/ocr/recog/icdar_2013', ann_file='test_labels.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root= 'openmmlab:s3://openmmlab/datasets/ocr/recog/icdar_2015', ann_file='test_labels.json', test_mode=True, pipeline=None) ], pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='petrel')), dict(type='Resize', scale=(100, 32), keep_ratio=False), dict(type='LoadOCRAnnotations', with_text=True), dict( type='PackTextRecogInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio')) ])) launcher = 'slurm' work_dir = './work_dirs/satrn_shallow_5e_st_mj' Name of parameter - Initialization information backbone.conv1.conv.weight - torch.Size([256, 3, 3, 3]): Initialized by user-defined `init_weights` in ConvModule backbone.conv1.bn.weight - torch.Size([256]): Initialized by user-defined `init_weights` in ConvModule backbone.conv1.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN backbone.conv2.conv.weight - torch.Size([512, 256, 3, 3]): Initialized by user-defined `init_weights` in ConvModule backbone.conv2.bn.weight - torch.Size([512]): Initialized by user-defined `init_weights` in ConvModule backbone.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.position_enc.h_scale.0.weight - torch.Size([512, 512, 1, 1]): XavierInit: gain=1, distribution=normal, bias=0 encoder.position_enc.h_scale.0.bias - torch.Size([512]): XavierInit: gain=1, distribution=normal, bias=0 encoder.position_enc.h_scale.2.weight - torch.Size([512, 512, 1, 1]): XavierInit: gain=1, distribution=normal, bias=0 encoder.position_enc.h_scale.2.bias - torch.Size([512]): XavierInit: gain=1, distribution=normal, bias=0 encoder.position_enc.w_scale.0.weight - torch.Size([512, 512, 1, 1]): XavierInit: gain=1, distribution=normal, bias=0 encoder.position_enc.w_scale.0.bias - torch.Size([512]): XavierInit: gain=1, distribution=normal, bias=0 encoder.position_enc.w_scale.2.weight - torch.Size([512, 512, 1, 1]): XavierInit: gain=1, distribution=normal, bias=0 encoder.position_enc.w_scale.2.bias - torch.Size([512]): XavierInit: gain=1, distribution=normal, bias=0 encoder.layer_stack.0.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.feed_forward.conv1.conv.weight - torch.Size([2048, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.0.feed_forward.conv1.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.feed_forward.conv1.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.feed_forward.depthwise_conv.conv.weight - torch.Size([2048, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.0.feed_forward.depthwise_conv.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.feed_forward.depthwise_conv.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.feed_forward.conv2.conv.weight - torch.Size([512, 2048, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.0.feed_forward.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.feed_forward.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.feed_forward.conv1.conv.weight - torch.Size([2048, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.1.feed_forward.conv1.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.feed_forward.conv1.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.feed_forward.depthwise_conv.conv.weight - torch.Size([2048, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.1.feed_forward.depthwise_conv.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.feed_forward.depthwise_conv.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.feed_forward.conv2.conv.weight - torch.Size([512, 2048, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.1.feed_forward.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.feed_forward.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.feed_forward.conv1.conv.weight - torch.Size([2048, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.2.feed_forward.conv1.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.feed_forward.conv1.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.feed_forward.depthwise_conv.conv.weight - torch.Size([2048, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.2.feed_forward.depthwise_conv.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.feed_forward.depthwise_conv.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.feed_forward.conv2.conv.weight - torch.Size([512, 2048, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.2.feed_forward.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.feed_forward.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.feed_forward.conv1.conv.weight - torch.Size([2048, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.3.feed_forward.conv1.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.feed_forward.conv1.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.feed_forward.depthwise_conv.conv.weight - torch.Size([2048, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.3.feed_forward.depthwise_conv.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.feed_forward.depthwise_conv.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.feed_forward.conv2.conv.weight - torch.Size([512, 2048, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.3.feed_forward.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.feed_forward.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.feed_forward.conv1.conv.weight - torch.Size([2048, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.4.feed_forward.conv1.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.feed_forward.conv1.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.feed_forward.depthwise_conv.conv.weight - torch.Size([2048, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.4.feed_forward.depthwise_conv.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.feed_forward.depthwise_conv.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.feed_forward.conv2.conv.weight - torch.Size([512, 2048, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.4.feed_forward.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.feed_forward.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.feed_forward.conv1.conv.weight - torch.Size([2048, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.5.feed_forward.conv1.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.feed_forward.conv1.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.feed_forward.depthwise_conv.conv.weight - torch.Size([2048, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.5.feed_forward.depthwise_conv.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.feed_forward.depthwise_conv.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.feed_forward.conv2.conv.weight - torch.Size([512, 2048, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.5.feed_forward.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.feed_forward.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.6.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.6.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.6.attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.6.attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.6.attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.6.attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.6.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.6.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.6.feed_forward.conv1.conv.weight - torch.Size([2048, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.6.feed_forward.conv1.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.6.feed_forward.conv1.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.6.feed_forward.depthwise_conv.conv.weight - torch.Size([2048, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.6.feed_forward.depthwise_conv.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.6.feed_forward.depthwise_conv.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.6.feed_forward.conv2.conv.weight - torch.Size([512, 2048, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.6.feed_forward.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.6.feed_forward.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.7.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.7.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.7.attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.7.attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.7.attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.7.attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.7.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.7.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.7.feed_forward.conv1.conv.weight - torch.Size([2048, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.7.feed_forward.conv1.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.7.feed_forward.conv1.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.7.feed_forward.depthwise_conv.conv.weight - torch.Size([2048, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.7.feed_forward.depthwise_conv.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.7.feed_forward.depthwise_conv.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.7.feed_forward.conv2.conv.weight - torch.Size([512, 2048, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.7.feed_forward.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.7.feed_forward.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.8.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.8.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.8.attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.8.attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.8.attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.8.attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.8.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.8.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.8.feed_forward.conv1.conv.weight - torch.Size([2048, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.8.feed_forward.conv1.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.8.feed_forward.conv1.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.8.feed_forward.depthwise_conv.conv.weight - torch.Size([2048, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.8.feed_forward.depthwise_conv.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.8.feed_forward.depthwise_conv.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.8.feed_forward.conv2.conv.weight - torch.Size([512, 2048, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.8.feed_forward.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.8.feed_forward.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.9.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.9.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.9.attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.9.attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.9.attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.9.attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.9.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.9.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.9.feed_forward.conv1.conv.weight - torch.Size([2048, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.9.feed_forward.conv1.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.9.feed_forward.conv1.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.9.feed_forward.depthwise_conv.conv.weight - torch.Size([2048, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.9.feed_forward.depthwise_conv.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.9.feed_forward.depthwise_conv.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.9.feed_forward.conv2.conv.weight - torch.Size([512, 2048, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.9.feed_forward.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.9.feed_forward.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.10.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.10.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.10.attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.10.attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.10.attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.10.attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.10.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.10.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.10.feed_forward.conv1.conv.weight - torch.Size([2048, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.10.feed_forward.conv1.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.10.feed_forward.conv1.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.10.feed_forward.depthwise_conv.conv.weight - torch.Size([2048, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.10.feed_forward.depthwise_conv.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.10.feed_forward.depthwise_conv.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.10.feed_forward.conv2.conv.weight - torch.Size([512, 2048, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.10.feed_forward.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.10.feed_forward.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.11.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.11.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.11.attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.11.attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.11.attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.11.attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.11.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.11.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.11.feed_forward.conv1.conv.weight - torch.Size([2048, 512, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.11.feed_forward.conv1.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.11.feed_forward.conv1.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.11.feed_forward.depthwise_conv.conv.weight - torch.Size([2048, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.11.feed_forward.depthwise_conv.bn.weight - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.11.feed_forward.depthwise_conv.bn.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.11.feed_forward.conv2.conv.weight - torch.Size([512, 2048, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.11.feed_forward.conv2.bn.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.11.feed_forward.conv2.bn.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_norm.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_norm.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.trg_word_emb.weight - torch.Size([93, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.norm3.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.norm3.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.self_attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.self_attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.self_attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.self_attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.enc_attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.enc_attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.enc_attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.enc_attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.mlp.w_1.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.mlp.w_1.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.mlp.w_2.weight - torch.Size([512, 2048]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.mlp.w_2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.norm3.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.norm3.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.self_attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.self_attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.self_attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.self_attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.enc_attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.enc_attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.enc_attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.enc_attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.mlp.w_1.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.mlp.w_1.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.mlp.w_2.weight - torch.Size([512, 2048]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.mlp.w_2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.norm3.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.norm3.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.self_attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.self_attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.self_attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.self_attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.enc_attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.enc_attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.enc_attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.enc_attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.mlp.w_1.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.mlp.w_1.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.mlp.w_2.weight - torch.Size([512, 2048]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.mlp.w_2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.norm3.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.norm3.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.self_attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.self_attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.self_attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.self_attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.enc_attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.enc_attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.enc_attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.enc_attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.mlp.w_1.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.mlp.w_1.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.mlp.w_2.weight - torch.Size([512, 2048]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.mlp.w_2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.norm3.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.norm3.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.self_attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.self_attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.self_attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.self_attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.enc_attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.enc_attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.enc_attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.enc_attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.mlp.w_1.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.mlp.w_1.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.mlp.w_2.weight - torch.Size([512, 2048]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.mlp.w_2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.norm1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.norm1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.norm2.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.norm2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.norm3.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.norm3.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.self_attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.self_attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.self_attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.self_attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.enc_attn.linear_q.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.enc_attn.linear_k.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.enc_attn.linear_v.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.enc_attn.fc.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.mlp.w_1.weight - torch.Size([2048, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.mlp.w_1.bias - torch.Size([2048]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.mlp.w_2.weight - torch.Size([512, 2048]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.mlp.w_2.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_norm.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_norm.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SATRN decoder.classifier.weight - torch.Size([93, 512]): The value is the same before and after calling `init_weights` of SATRN decoder.classifier.bias - torch.Size([93]): The value is the same before and after calling `init_weights` of SATRN 2022/09/15 15:28:01 - mmengine - INFO - Checkpoints will be saved to sproject:s3://1.0.0rc0_recog_retest/satrn_shallow_5e_st_mj by PetrelBackend. 2022/09/15 15:40:16 - mmengine - INFO - Epoch(train) [1][100/31614] lr: 3.0000e-04 eta: 13 days, 10:22:48 time: 0.5506 data_time: 0.0933 memory: 34363 loss_ce: 0.7079 loss: 0.7079 2022/09/15 15:41:01 - mmengine - INFO - Epoch(train) [1][200/31614] lr: 3.0000e-04 eta: 7 days, 3:07:43 time: 0.5801 data_time: 0.0566 memory: 26765 loss_ce: 0.5804 loss: 0.5804 2022/09/15 15:41:46 - mmengine - INFO - Epoch(train) [1][300/31614] lr: 3.0000e-04 eta: 5 days, 0:28:52 time: 0.4369 data_time: 0.0341 memory: 26765 loss_ce: 0.2558 loss: 0.2558 2022/09/15 15:42:30 - mmengine - INFO - Epoch(train) [1][400/31614] lr: 3.0000e-04 eta: 3 days, 23:11:51 time: 0.3762 data_time: 0.0019 memory: 26765 loss_ce: 0.1723 loss: 0.1723 2022/09/15 15:43:15 - mmengine - INFO - Epoch(train) [1][500/31614] lr: 3.0000e-04 eta: 3 days, 8:01:47 time: 0.3739 data_time: 0.0029 memory: 26765 loss_ce: 0.1318 loss: 0.1318 2022/09/15 15:44:01 - mmengine - INFO - Epoch(train) [1][600/31614] lr: 3.0000e-04 eta: 2 days, 21:58:48 time: 0.4073 data_time: 0.0066 memory: 26765 loss_ce: 0.1086 loss: 0.1086 2022/09/15 15:44:47 - mmengine - INFO - Epoch(train) [1][700/31614] lr: 3.0000e-04 eta: 2 days, 14:51:12 time: 0.5406 data_time: 0.0820 memory: 26765 loss_ce: 0.1052 loss: 0.1052 2022/09/15 15:45:32 - mmengine - INFO - Epoch(train) [1][800/31614] lr: 3.0000e-04 eta: 2 days, 9:23:03 time: 0.5009 data_time: 0.0575 memory: 26765 loss_ce: 0.0845 loss: 0.0845 2022/09/15 15:46:17 - mmengine - INFO - Epoch(train) [1][900/31614] lr: 3.0000e-04 eta: 2 days, 5:08:47 time: 0.4315 data_time: 0.0308 memory: 26765 loss_ce: 0.0864 loss: 0.0864 2022/09/15 15:47:01 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 15:47:01 - mmengine - INFO - Epoch(train) [1][1000/31614] lr: 3.0000e-04 eta: 2 days, 1:45:23 time: 0.3754 data_time: 0.0019 memory: 26765 loss_ce: 0.0809 loss: 0.0809 2022/09/15 15:47:45 - mmengine - INFO - Epoch(train) [1][1100/31614] lr: 3.0000e-04 eta: 1 day, 22:57:07 time: 0.3712 data_time: 0.0020 memory: 26765 loss_ce: 0.0726 loss: 0.0726 2022/09/15 15:48:31 - mmengine - INFO - Epoch(train) [1][1200/31614] lr: 3.0000e-04 eta: 1 day, 20:39:20 time: 0.3761 data_time: 0.0062 memory: 26765 loss_ce: 0.0756 loss: 0.0756 2022/09/15 15:49:17 - mmengine - INFO - Epoch(train) [1][1300/31614] lr: 3.0000e-04 eta: 1 day, 18:45:02 time: 0.4953 data_time: 0.0547 memory: 26765 loss_ce: 0.0723 loss: 0.0723 2022/09/15 15:50:02 - mmengine - INFO - Epoch(train) [1][1400/31614] lr: 3.0000e-04 eta: 1 day, 17:04:27 time: 0.5191 data_time: 0.0863 memory: 26765 loss_ce: 0.0725 loss: 0.0725 2022/09/15 15:50:47 - mmengine - INFO - Epoch(train) [1][1500/31614] lr: 3.0000e-04 eta: 1 day, 15:36:16 time: 0.4822 data_time: 0.0307 memory: 26765 loss_ce: 0.0613 loss: 0.0613 2022/09/15 15:51:31 - mmengine - INFO - Epoch(train) [1][1600/31614] lr: 3.0000e-04 eta: 1 day, 14:17:59 time: 0.3797 data_time: 0.0019 memory: 26765 loss_ce: 0.0682 loss: 0.0682 2022/09/15 15:52:16 - mmengine - INFO - Epoch(train) [1][1700/31614] lr: 3.0000e-04 eta: 1 day, 13:10:36 time: 0.3709 data_time: 0.0019 memory: 26765 loss_ce: 0.0671 loss: 0.0671 2022/09/15 15:53:00 - mmengine - INFO - Epoch(train) [1][1800/31614] lr: 3.0000e-04 eta: 1 day, 12:09:48 time: 0.3845 data_time: 0.0057 memory: 26765 loss_ce: 0.0611 loss: 0.0611 2022/09/15 15:53:47 - mmengine - INFO - Epoch(train) [1][1900/31614] lr: 3.0000e-04 eta: 1 day, 11:18:27 time: 0.5297 data_time: 0.1056 memory: 26765 loss_ce: 0.0637 loss: 0.0637 2022/09/15 15:54:32 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 15:54:32 - mmengine - INFO - Epoch(train) [1][2000/31614] lr: 3.0000e-04 eta: 1 day, 10:29:58 time: 0.5608 data_time: 0.0810 memory: 26765 loss_ce: 0.0474 loss: 0.0474 2022/09/15 15:55:17 - mmengine - INFO - Epoch(train) [1][2100/31614] lr: 3.0000e-04 eta: 1 day, 9:45:45 time: 0.4753 data_time: 0.0304 memory: 26765 loss_ce: 0.0653 loss: 0.0653 2022/09/15 15:56:02 - mmengine - INFO - Epoch(train) [1][2200/31614] lr: 3.0000e-04 eta: 1 day, 9:05:11 time: 0.3857 data_time: 0.0021 memory: 26765 loss_ce: 0.0520 loss: 0.0520 2022/09/15 15:56:47 - mmengine - INFO - Epoch(train) [1][2300/31614] lr: 3.0000e-04 eta: 1 day, 8:28:24 time: 0.3708 data_time: 0.0021 memory: 26765 loss_ce: 0.0560 loss: 0.0560 2022/09/15 15:57:32 - mmengine - INFO - Epoch(train) [1][2400/31614] lr: 3.0000e-04 eta: 1 day, 7:54:32 time: 0.3823 data_time: 0.0051 memory: 26765 loss_ce: 0.0530 loss: 0.0530 2022/09/15 15:58:18 - mmengine - INFO - Epoch(train) [1][2500/31614] lr: 3.0000e-04 eta: 1 day, 7:24:17 time: 0.5155 data_time: 0.0556 memory: 26765 loss_ce: 0.0514 loss: 0.0514 2022/09/15 15:59:02 - mmengine - INFO - Epoch(train) [1][2600/31614] lr: 3.0000e-04 eta: 1 day, 6:55:13 time: 0.5163 data_time: 0.0545 memory: 26765 loss_ce: 0.0530 loss: 0.0530 2022/09/15 15:59:48 - mmengine - INFO - Epoch(train) [1][2700/31614] lr: 3.0000e-04 eta: 1 day, 6:29:29 time: 0.4936 data_time: 0.0625 memory: 26765 loss_ce: 0.0457 loss: 0.0457 2022/09/15 16:00:33 - mmengine - INFO - Epoch(train) [1][2800/31614] lr: 3.0000e-04 eta: 1 day, 6:04:34 time: 0.3770 data_time: 0.0022 memory: 26765 loss_ce: 0.0457 loss: 0.0457 2022/09/15 16:01:17 - mmengine - INFO - Epoch(train) [1][2900/31614] lr: 3.0000e-04 eta: 1 day, 5:40:27 time: 0.3743 data_time: 0.0020 memory: 26765 loss_ce: 0.0467 loss: 0.0467 2022/09/15 16:02:02 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 16:02:02 - mmengine - INFO - Epoch(train) [1][3000/31614] lr: 3.0000e-04 eta: 1 day, 5:18:41 time: 0.3786 data_time: 0.0059 memory: 26765 loss_ce: 0.0583 loss: 0.0583 2022/09/15 16:02:48 - mmengine - INFO - Epoch(train) [1][3100/31614] lr: 3.0000e-04 eta: 1 day, 4:59:03 time: 0.5276 data_time: 0.0605 memory: 26765 loss_ce: 0.0426 loss: 0.0426 2022/09/15 16:03:32 - mmengine - INFO - Epoch(train) [1][3200/31614] lr: 3.0000e-04 eta: 1 day, 4:39:19 time: 0.5107 data_time: 0.0745 memory: 26765 loss_ce: 0.0471 loss: 0.0471 2022/09/15 16:04:17 - mmengine - INFO - Epoch(train) [1][3300/31614] lr: 3.0000e-04 eta: 1 day, 4:20:47 time: 0.4601 data_time: 0.0294 memory: 26765 loss_ce: 0.0418 loss: 0.0418 2022/09/15 16:05:02 - mmengine - INFO - Epoch(train) [1][3400/31614] lr: 3.0000e-04 eta: 1 day, 4:03:53 time: 0.3757 data_time: 0.0020 memory: 26765 loss_ce: 0.0470 loss: 0.0470 2022/09/15 16:05:46 - mmengine - INFO - Epoch(train) [1][3500/31614] lr: 3.0000e-04 eta: 1 day, 3:47:18 time: 0.3729 data_time: 0.0028 memory: 26765 loss_ce: 0.0536 loss: 0.0536 2022/09/15 16:06:30 - mmengine - INFO - Epoch(train) [1][3600/31614] lr: 3.0000e-04 eta: 1 day, 3:31:23 time: 0.3735 data_time: 0.0059 memory: 26765 loss_ce: 0.0432 loss: 0.0432 2022/09/15 16:07:16 - mmengine - INFO - Epoch(train) [1][3700/31614] lr: 3.0000e-04 eta: 1 day, 3:17:47 time: 0.5470 data_time: 0.0777 memory: 26765 loss_ce: 0.0487 loss: 0.0487 2022/09/15 16:08:00 - mmengine - INFO - Epoch(train) [1][3800/31614] lr: 3.0000e-04 eta: 1 day, 3:03:33 time: 0.5441 data_time: 0.0549 memory: 26765 loss_ce: 0.0455 loss: 0.0455 2022/09/15 16:08:45 - mmengine - INFO - Epoch(train) [1][3900/31614] lr: 3.0000e-04 eta: 1 day, 2:50:15 time: 0.4440 data_time: 0.0298 memory: 26765 loss_ce: 0.0502 loss: 0.0502 2022/09/15 16:09:30 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 16:09:30 - mmengine - INFO - Epoch(train) [1][4000/31614] lr: 3.0000e-04 eta: 1 day, 2:37:53 time: 0.3727 data_time: 0.0019 memory: 26765 loss_ce: 0.0404 loss: 0.0404 2022/09/15 16:10:16 - mmengine - INFO - Epoch(train) [1][4100/31614] lr: 3.0000e-04 eta: 1 day, 2:26:42 time: 0.3699 data_time: 0.0020 memory: 26765 loss_ce: 0.0449 loss: 0.0449 2022/09/15 16:11:01 - mmengine - INFO - Epoch(train) [1][4200/31614] lr: 3.0000e-04 eta: 1 day, 2:15:32 time: 0.3707 data_time: 0.0054 memory: 26765 loss_ce: 0.0410 loss: 0.0410 2022/09/15 16:11:47 - mmengine - INFO - Epoch(train) [1][4300/31614] lr: 3.0000e-04 eta: 1 day, 2:05:18 time: 0.5357 data_time: 0.0556 memory: 26765 loss_ce: 0.0454 loss: 0.0454 2022/09/15 16:12:32 - mmengine - INFO - Epoch(train) [1][4400/31614] lr: 3.0000e-04 eta: 1 day, 1:54:54 time: 0.5946 data_time: 0.0894 memory: 26765 loss_ce: 0.0400 loss: 0.0400 2022/09/15 16:13:17 - mmengine - INFO - Epoch(train) [1][4500/31614] lr: 3.0000e-04 eta: 1 day, 1:44:46 time: 0.4584 data_time: 0.0526 memory: 26765 loss_ce: 0.0396 loss: 0.0396 2022/09/15 16:14:01 - mmengine - INFO - Epoch(train) [1][4600/31614] lr: 3.0000e-04 eta: 1 day, 1:34:30 time: 0.3753 data_time: 0.0031 memory: 26765 loss_ce: 0.0427 loss: 0.0427 2022/09/15 16:14:46 - mmengine - INFO - Epoch(train) [1][4700/31614] lr: 3.0000e-04 eta: 1 day, 1:25:19 time: 0.3736 data_time: 0.0025 memory: 26765 loss_ce: 0.0478 loss: 0.0478 2022/09/15 16:15:30 - mmengine - INFO - Epoch(train) [1][4800/31614] lr: 3.0000e-04 eta: 1 day, 1:16:24 time: 0.3748 data_time: 0.0045 memory: 26765 loss_ce: 0.0428 loss: 0.0428 2022/09/15 16:16:16 - mmengine - INFO - Epoch(train) [1][4900/31614] lr: 3.0000e-04 eta: 1 day, 1:08:14 time: 0.5430 data_time: 0.0718 memory: 26765 loss_ce: 0.0448 loss: 0.0448 2022/09/15 16:17:00 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 16:17:00 - mmengine - INFO - Epoch(train) [1][5000/31614] lr: 3.0000e-04 eta: 1 day, 0:59:45 time: 0.5853 data_time: 0.0879 memory: 26765 loss_ce: 0.0437 loss: 0.0437 2022/09/15 16:17:44 - mmengine - INFO - Epoch(train) [1][5100/31614] lr: 3.0000e-04 eta: 1 day, 0:51:23 time: 0.4313 data_time: 0.0278 memory: 26765 loss_ce: 0.0339 loss: 0.0339 2022/09/15 16:18:29 - mmengine - INFO - Epoch(train) [1][5200/31614] lr: 3.0000e-04 eta: 1 day, 0:43:39 time: 0.3988 data_time: 0.0020 memory: 26765 loss_ce: 0.0428 loss: 0.0428 2022/09/15 16:19:13 - mmengine - INFO - Epoch(train) [1][5300/31614] lr: 3.0000e-04 eta: 1 day, 0:35:45 time: 0.3727 data_time: 0.0020 memory: 26765 loss_ce: 0.0386 loss: 0.0386 2022/09/15 16:19:57 - mmengine - INFO - Epoch(train) [1][5400/31614] lr: 3.0000e-04 eta: 1 day, 0:28:19 time: 0.3777 data_time: 0.0074 memory: 26765 loss_ce: 0.0431 loss: 0.0431 2022/09/15 16:20:43 - mmengine - INFO - Epoch(train) [1][5500/31614] lr: 3.0000e-04 eta: 1 day, 0:21:48 time: 0.5261 data_time: 0.0553 memory: 26765 loss_ce: 0.0400 loss: 0.0400 2022/09/15 16:21:28 - mmengine - INFO - Epoch(train) [1][5600/31614] lr: 3.0000e-04 eta: 1 day, 0:15:09 time: 0.5488 data_time: 0.0839 memory: 26765 loss_ce: 0.0395 loss: 0.0395 2022/09/15 16:22:12 - mmengine - INFO - Epoch(train) [1][5700/31614] lr: 3.0000e-04 eta: 1 day, 0:08:11 time: 0.4384 data_time: 0.0325 memory: 26765 loss_ce: 0.0385 loss: 0.0385 2022/09/15 16:22:56 - mmengine - INFO - Epoch(train) [1][5800/31614] lr: 3.0000e-04 eta: 1 day, 0:01:35 time: 0.3743 data_time: 0.0020 memory: 26765 loss_ce: 0.0336 loss: 0.0336 2022/09/15 16:23:40 - mmengine - INFO - Epoch(train) [1][5900/31614] lr: 3.0000e-04 eta: 23:55:24 time: 0.3740 data_time: 0.0019 memory: 26765 loss_ce: 0.0384 loss: 0.0384 2022/09/15 16:24:25 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 16:24:25 - mmengine - INFO - Epoch(train) [1][6000/31614] lr: 3.0000e-04 eta: 23:49:27 time: 0.3763 data_time: 0.0073 memory: 26765 loss_ce: 0.0381 loss: 0.0381 2022/09/15 16:25:11 - mmengine - INFO - Epoch(train) [1][6100/31614] lr: 3.0000e-04 eta: 23:44:16 time: 0.5499 data_time: 0.0730 memory: 26765 loss_ce: 0.0356 loss: 0.0356 2022/09/15 16:25:56 - mmengine - INFO - Epoch(train) [1][6200/31614] lr: 3.0000e-04 eta: 23:38:39 time: 0.5800 data_time: 0.0830 memory: 26765 loss_ce: 0.0317 loss: 0.0317 2022/09/15 16:26:40 - mmengine - INFO - Epoch(train) [1][6300/31614] lr: 3.0000e-04 eta: 23:32:56 time: 0.4441 data_time: 0.0321 memory: 26765 loss_ce: 0.0380 loss: 0.0380 2022/09/15 16:27:26 - mmengine - INFO - Epoch(train) [1][6400/31614] lr: 3.0000e-04 eta: 23:27:59 time: 0.3833 data_time: 0.0027 memory: 26765 loss_ce: 0.0396 loss: 0.0396 2022/09/15 16:28:11 - mmengine - INFO - Epoch(train) [1][6500/31614] lr: 3.0000e-04 eta: 23:23:01 time: 0.3712 data_time: 0.0020 memory: 26765 loss_ce: 0.0333 loss: 0.0333 2022/09/15 16:28:56 - mmengine - INFO - Epoch(train) [1][6600/31614] lr: 3.0000e-04 eta: 23:18:07 time: 0.3792 data_time: 0.0087 memory: 26765 loss_ce: 0.0402 loss: 0.0402 2022/09/15 16:29:43 - mmengine - INFO - Epoch(train) [1][6700/31614] lr: 3.0000e-04 eta: 23:13:49 time: 0.5426 data_time: 0.0829 memory: 26765 loss_ce: 0.0363 loss: 0.0363 2022/09/15 16:30:27 - mmengine - INFO - Epoch(train) [1][6800/31614] lr: 3.0000e-04 eta: 23:08:52 time: 0.5471 data_time: 0.0934 memory: 26765 loss_ce: 0.0340 loss: 0.0340 2022/09/15 16:31:12 - mmengine - INFO - Epoch(train) [1][6900/31614] lr: 3.0000e-04 eta: 23:04:22 time: 0.4317 data_time: 0.0296 memory: 26765 loss_ce: 0.0402 loss: 0.0402 2022/09/15 16:31:58 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 16:31:58 - mmengine - INFO - Epoch(train) [1][7000/31614] lr: 3.0000e-04 eta: 23:00:01 time: 0.4154 data_time: 0.0022 memory: 26765 loss_ce: 0.0358 loss: 0.0358 2022/09/15 16:32:43 - mmengine - INFO - Epoch(train) [1][7100/31614] lr: 3.0000e-04 eta: 22:55:39 time: 0.3726 data_time: 0.0021 memory: 26765 loss_ce: 0.0326 loss: 0.0326 2022/09/15 16:33:28 - mmengine - INFO - Epoch(train) [1][7200/31614] lr: 3.0000e-04 eta: 22:51:24 time: 0.3807 data_time: 0.0068 memory: 26765 loss_ce: 0.0364 loss: 0.0364 2022/09/15 16:34:14 - mmengine - INFO - Epoch(train) [1][7300/31614] lr: 3.0000e-04 eta: 22:47:40 time: 0.5396 data_time: 0.0822 memory: 26765 loss_ce: 0.0334 loss: 0.0334 2022/09/15 16:34:59 - mmengine - INFO - Epoch(train) [1][7400/31614] lr: 3.0000e-04 eta: 22:43:34 time: 0.5690 data_time: 0.0831 memory: 26765 loss_ce: 0.0355 loss: 0.0355 2022/09/15 16:35:44 - mmengine - INFO - Epoch(train) [1][7500/31614] lr: 3.0000e-04 eta: 22:39:29 time: 0.4346 data_time: 0.0297 memory: 26765 loss_ce: 0.0350 loss: 0.0350 2022/09/15 16:36:29 - mmengine - INFO - Epoch(train) [1][7600/31614] lr: 3.0000e-04 eta: 22:35:26 time: 0.3755 data_time: 0.0020 memory: 26765 loss_ce: 0.0376 loss: 0.0376 2022/09/15 16:37:13 - mmengine - INFO - Epoch(train) [1][7700/31614] lr: 3.0000e-04 eta: 22:31:24 time: 0.3765 data_time: 0.0078 memory: 26765 loss_ce: 0.0287 loss: 0.0287 2022/09/15 16:37:58 - mmengine - INFO - Epoch(train) [1][7800/31614] lr: 3.0000e-04 eta: 22:27:27 time: 0.3791 data_time: 0.0115 memory: 26765 loss_ce: 0.0307 loss: 0.0307 2022/09/15 16:38:44 - mmengine - INFO - Epoch(train) [1][7900/31614] lr: 3.0000e-04 eta: 22:24:03 time: 0.4817 data_time: 0.0556 memory: 26765 loss_ce: 0.0324 loss: 0.0324 2022/09/15 16:39:29 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 16:39:29 - mmengine - INFO - Epoch(train) [1][8000/31614] lr: 3.0000e-04 eta: 22:20:33 time: 0.5356 data_time: 0.0547 memory: 26765 loss_ce: 0.0344 loss: 0.0344 2022/09/15 16:40:13 - mmengine - INFO - Epoch(train) [1][8100/31614] lr: 3.0000e-04 eta: 22:16:52 time: 0.5194 data_time: 0.0591 memory: 26765 loss_ce: 0.0360 loss: 0.0360 2022/09/15 16:40:59 - mmengine - INFO - Epoch(train) [1][8200/31614] lr: 3.0000e-04 eta: 22:13:26 time: 0.3805 data_time: 0.0063 memory: 26765 loss_ce: 0.0337 loss: 0.0337 2022/09/15 16:41:43 - mmengine - INFO - Epoch(train) [1][8300/31614] lr: 3.0000e-04 eta: 22:09:55 time: 0.3762 data_time: 0.0064 memory: 26765 loss_ce: 0.0301 loss: 0.0301 2022/09/15 16:42:28 - mmengine - INFO - Epoch(train) [1][8400/31614] lr: 3.0000e-04 eta: 22:06:26 time: 0.3808 data_time: 0.0110 memory: 26765 loss_ce: 0.0344 loss: 0.0344 2022/09/15 16:43:14 - mmengine - INFO - Epoch(train) [1][8500/31614] lr: 3.0000e-04 eta: 22:03:32 time: 0.5479 data_time: 0.0788 memory: 26765 loss_ce: 0.0306 loss: 0.0306 2022/09/15 16:44:00 - mmengine - INFO - Epoch(train) [1][8600/31614] lr: 3.0000e-04 eta: 22:00:36 time: 0.5246 data_time: 0.0813 memory: 26765 loss_ce: 0.0293 loss: 0.0293 2022/09/15 16:44:47 - mmengine - INFO - Epoch(train) [1][8700/31614] lr: 3.0000e-04 eta: 21:57:49 time: 0.5528 data_time: 0.0359 memory: 26765 loss_ce: 0.0302 loss: 0.0302 2022/09/15 16:45:31 - mmengine - INFO - Epoch(train) [1][8800/31614] lr: 3.0000e-04 eta: 21:54:41 time: 0.3786 data_time: 0.0084 memory: 26765 loss_ce: 0.0290 loss: 0.0290 2022/09/15 16:46:16 - mmengine - INFO - Epoch(train) [1][8900/31614] lr: 3.0000e-04 eta: 21:51:29 time: 0.3788 data_time: 0.0084 memory: 26765 loss_ce: 0.0310 loss: 0.0310 2022/09/15 16:47:01 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 16:47:01 - mmengine - INFO - Epoch(train) [1][9000/31614] lr: 3.0000e-04 eta: 21:48:21 time: 0.3872 data_time: 0.0112 memory: 26765 loss_ce: 0.0336 loss: 0.0336 2022/09/15 16:47:47 - mmengine - INFO - Epoch(train) [1][9100/31614] lr: 3.0000e-04 eta: 21:45:42 time: 0.5049 data_time: 0.0490 memory: 26765 loss_ce: 0.0327 loss: 0.0327 2022/09/15 16:48:31 - mmengine - INFO - Epoch(train) [1][9200/31614] lr: 3.0000e-04 eta: 21:42:39 time: 0.5067 data_time: 0.0668 memory: 26765 loss_ce: 0.0321 loss: 0.0321 2022/09/15 16:49:16 - mmengine - INFO - Epoch(train) [1][9300/31614] lr: 3.0000e-04 eta: 21:39:41 time: 0.4351 data_time: 0.0337 memory: 26765 loss_ce: 0.0352 loss: 0.0352 2022/09/15 16:50:01 - mmengine - INFO - Epoch(train) [1][9400/31614] lr: 3.0000e-04 eta: 21:36:52 time: 0.3775 data_time: 0.0089 memory: 26765 loss_ce: 0.0255 loss: 0.0255 2022/09/15 16:50:46 - mmengine - INFO - Epoch(train) [1][9500/31614] lr: 3.0000e-04 eta: 21:34:05 time: 0.3791 data_time: 0.0094 memory: 26765 loss_ce: 0.0305 loss: 0.0305 2022/09/15 16:51:30 - mmengine - INFO - Epoch(train) [1][9600/31614] lr: 3.0000e-04 eta: 21:31:12 time: 0.3801 data_time: 0.0117 memory: 26765 loss_ce: 0.0330 loss: 0.0330 2022/09/15 16:52:17 - mmengine - INFO - Epoch(train) [1][9700/31614] lr: 3.0000e-04 eta: 21:28:55 time: 0.5347 data_time: 0.0588 memory: 26765 loss_ce: 0.0363 loss: 0.0363 2022/09/15 16:53:02 - mmengine - INFO - Epoch(train) [1][9800/31614] lr: 3.0000e-04 eta: 21:26:18 time: 0.5438 data_time: 0.0788 memory: 26765 loss_ce: 0.0308 loss: 0.0308 2022/09/15 16:53:47 - mmengine - INFO - Epoch(train) [1][9900/31614] lr: 3.0000e-04 eta: 21:23:38 time: 0.4870 data_time: 0.0594 memory: 26765 loss_ce: 0.0297 loss: 0.0297 2022/09/15 16:54:32 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 16:54:32 - mmengine - INFO - Epoch(train) [1][10000/31614] lr: 3.0000e-04 eta: 21:20:58 time: 0.4218 data_time: 0.0095 memory: 26765 loss_ce: 0.0311 loss: 0.0311 2022/09/15 16:55:17 - mmengine - INFO - Epoch(train) [1][10100/31614] lr: 3.0000e-04 eta: 21:18:29 time: 0.3804 data_time: 0.0085 memory: 26765 loss_ce: 0.0277 loss: 0.0277 2022/09/15 16:56:02 - mmengine - INFO - Epoch(train) [1][10200/31614] lr: 3.0000e-04 eta: 21:15:51 time: 0.4034 data_time: 0.0109 memory: 26765 loss_ce: 0.0313 loss: 0.0313 2022/09/15 16:56:48 - mmengine - INFO - Epoch(train) [1][10300/31614] lr: 3.0000e-04 eta: 21:13:34 time: 0.4902 data_time: 0.0503 memory: 26765 loss_ce: 0.0312 loss: 0.0312 2022/09/15 16:57:32 - mmengine - INFO - Epoch(train) [1][10400/31614] lr: 3.0000e-04 eta: 21:11:06 time: 0.5012 data_time: 0.0495 memory: 26765 loss_ce: 0.0293 loss: 0.0293 2022/09/15 16:58:18 - mmengine - INFO - Epoch(train) [1][10500/31614] lr: 3.0000e-04 eta: 21:08:50 time: 0.4808 data_time: 0.0500 memory: 26765 loss_ce: 0.0337 loss: 0.0337 2022/09/15 16:59:03 - mmengine - INFO - Epoch(train) [1][10600/31614] lr: 3.0000e-04 eta: 21:06:27 time: 0.3765 data_time: 0.0086 memory: 26765 loss_ce: 0.0285 loss: 0.0285 2022/09/15 16:59:48 - mmengine - INFO - Epoch(train) [1][10700/31614] lr: 3.0000e-04 eta: 21:04:01 time: 0.3789 data_time: 0.0085 memory: 26765 loss_ce: 0.0286 loss: 0.0286 2022/09/15 17:00:34 - mmengine - INFO - Epoch(train) [1][10800/31614] lr: 3.0000e-04 eta: 21:01:54 time: 0.3916 data_time: 0.0139 memory: 26765 loss_ce: 0.0267 loss: 0.0267 2022/09/15 17:01:21 - mmengine - INFO - Epoch(train) [1][10900/31614] lr: 3.0000e-04 eta: 21:00:03 time: 0.4958 data_time: 0.0562 memory: 26765 loss_ce: 0.0320 loss: 0.0320 2022/09/15 17:02:07 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 17:02:07 - mmengine - INFO - Epoch(train) [1][11000/31614] lr: 3.0000e-04 eta: 20:58:00 time: 0.5266 data_time: 0.0521 memory: 26765 loss_ce: 0.0277 loss: 0.0277 2022/09/15 17:02:53 - mmengine - INFO - Epoch(train) [1][11100/31614] lr: 3.0000e-04 eta: 20:55:59 time: 0.5258 data_time: 0.0330 memory: 26765 loss_ce: 0.0279 loss: 0.0279 2022/09/15 17:03:38 - mmengine - INFO - Epoch(train) [1][11200/31614] lr: 3.0000e-04 eta: 20:53:45 time: 0.3811 data_time: 0.0091 memory: 26765 loss_ce: 0.0248 loss: 0.0248 2022/09/15 17:04:23 - mmengine - INFO - Epoch(train) [1][11300/31614] lr: 3.0000e-04 eta: 20:51:30 time: 0.3779 data_time: 0.0086 memory: 26765 loss_ce: 0.0282 loss: 0.0282 2022/09/15 17:05:08 - mmengine - INFO - Epoch(train) [1][11400/31614] lr: 3.0000e-04 eta: 20:49:21 time: 0.3847 data_time: 0.0135 memory: 26765 loss_ce: 0.0322 loss: 0.0322 2022/09/15 17:05:54 - mmengine - INFO - Epoch(train) [1][11500/31614] lr: 3.0000e-04 eta: 20:47:29 time: 0.4992 data_time: 0.0702 memory: 26765 loss_ce: 0.0267 loss: 0.0267 2022/09/15 17:06:39 - mmengine - INFO - Epoch(train) [1][11600/31614] lr: 3.0000e-04 eta: 20:45:27 time: 0.5571 data_time: 0.0483 memory: 26765 loss_ce: 0.0297 loss: 0.0297 2022/09/15 17:07:24 - mmengine - INFO - Epoch(train) [1][11700/31614] lr: 3.0000e-04 eta: 20:43:17 time: 0.4390 data_time: 0.0354 memory: 26765 loss_ce: 0.0355 loss: 0.0355 2022/09/15 17:08:09 - mmengine - INFO - Epoch(train) [1][11800/31614] lr: 3.0000e-04 eta: 20:41:16 time: 0.3839 data_time: 0.0090 memory: 26765 loss_ce: 0.0250 loss: 0.0250 2022/09/15 17:08:55 - mmengine - INFO - Epoch(train) [1][11900/31614] lr: 3.0000e-04 eta: 20:39:20 time: 0.4058 data_time: 0.0088 memory: 26765 loss_ce: 0.0273 loss: 0.0273 2022/09/15 17:09:40 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 17:09:40 - mmengine - INFO - Epoch(train) [1][12000/31614] lr: 3.0000e-04 eta: 20:37:12 time: 0.3827 data_time: 0.0131 memory: 26765 loss_ce: 0.0277 loss: 0.0277 2022/09/15 17:10:26 - mmengine - INFO - Epoch(train) [1][12100/31614] lr: 3.0000e-04 eta: 20:35:32 time: 0.5558 data_time: 0.0853 memory: 26765 loss_ce: 0.0337 loss: 0.0337 2022/09/15 17:11:11 - mmengine - INFO - Epoch(train) [1][12200/31614] lr: 3.0000e-04 eta: 20:33:32 time: 0.5188 data_time: 0.0761 memory: 26765 loss_ce: 0.0270 loss: 0.0270 2022/09/15 17:11:56 - mmengine - INFO - Epoch(train) [1][12300/31614] lr: 3.0000e-04 eta: 20:31:31 time: 0.4358 data_time: 0.0320 memory: 26765 loss_ce: 0.0269 loss: 0.0269 2022/09/15 17:12:42 - mmengine - INFO - Epoch(train) [1][12400/31614] lr: 3.0000e-04 eta: 20:29:38 time: 0.4010 data_time: 0.0093 memory: 26765 loss_ce: 0.0286 loss: 0.0286 2022/09/15 17:13:27 - mmengine - INFO - Epoch(train) [1][12500/31614] lr: 3.0000e-04 eta: 20:27:41 time: 0.3768 data_time: 0.0088 memory: 26765 loss_ce: 0.0285 loss: 0.0285 2022/09/15 17:14:12 - mmengine - INFO - Epoch(train) [1][12600/31614] lr: 3.0000e-04 eta: 20:25:46 time: 0.3807 data_time: 0.0123 memory: 26765 loss_ce: 0.0316 loss: 0.0316 2022/09/15 17:14:58 - mmengine - INFO - Epoch(train) [1][12700/31614] lr: 3.0000e-04 eta: 20:24:06 time: 0.5421 data_time: 0.0715 memory: 26765 loss_ce: 0.0259 loss: 0.0259 2022/09/15 17:15:43 - mmengine - INFO - Epoch(train) [1][12800/31614] lr: 3.0000e-04 eta: 20:22:18 time: 0.5567 data_time: 0.1031 memory: 26765 loss_ce: 0.0287 loss: 0.0287 2022/09/15 17:16:28 - mmengine - INFO - Epoch(train) [1][12900/31614] lr: 3.0000e-04 eta: 20:20:27 time: 0.4402 data_time: 0.0328 memory: 26765 loss_ce: 0.0221 loss: 0.0221 2022/09/15 17:17:14 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 17:17:14 - mmengine - INFO - Epoch(train) [1][13000/31614] lr: 3.0000e-04 eta: 20:18:43 time: 0.4017 data_time: 0.0095 memory: 26765 loss_ce: 0.0271 loss: 0.0271 2022/09/15 17:17:59 - mmengine - INFO - Epoch(train) [1][13100/31614] lr: 3.0000e-04 eta: 20:16:54 time: 0.4015 data_time: 0.0093 memory: 26765 loss_ce: 0.0238 loss: 0.0238 2022/09/15 17:18:45 - mmengine - INFO - Epoch(train) [1][13200/31614] lr: 3.0000e-04 eta: 20:15:17 time: 0.3797 data_time: 0.0123 memory: 26765 loss_ce: 0.0302 loss: 0.0302 2022/09/15 17:19:32 - mmengine - INFO - Epoch(train) [1][13300/31614] lr: 3.0000e-04 eta: 20:13:48 time: 0.5090 data_time: 0.0517 memory: 26765 loss_ce: 0.0250 loss: 0.0250 2022/09/15 17:20:18 - mmengine - INFO - Epoch(train) [1][13400/31614] lr: 3.0000e-04 eta: 20:12:08 time: 0.6185 data_time: 0.0808 memory: 26765 loss_ce: 0.0226 loss: 0.0226 2022/09/15 17:21:02 - mmengine - INFO - Epoch(train) [1][13500/31614] lr: 3.0000e-04 eta: 20:10:17 time: 0.4506 data_time: 0.0325 memory: 26765 loss_ce: 0.0309 loss: 0.0309 2022/09/15 17:21:48 - mmengine - INFO - Epoch(train) [1][13600/31614] lr: 3.0000e-04 eta: 20:08:33 time: 0.3806 data_time: 0.0084 memory: 26765 loss_ce: 0.0260 loss: 0.0260 2022/09/15 17:22:33 - mmengine - INFO - Epoch(train) [1][13700/31614] lr: 3.0000e-04 eta: 20:06:48 time: 0.3857 data_time: 0.0095 memory: 26765 loss_ce: 0.0330 loss: 0.0330 2022/09/15 17:23:18 - mmengine - INFO - Epoch(train) [1][13800/31614] lr: 3.0000e-04 eta: 20:05:08 time: 0.3852 data_time: 0.0119 memory: 26765 loss_ce: 0.0246 loss: 0.0246 2022/09/15 17:24:04 - mmengine - INFO - Epoch(train) [1][13900/31614] lr: 3.0000e-04 eta: 20:03:34 time: 0.5047 data_time: 0.0504 memory: 26765 loss_ce: 0.0279 loss: 0.0279 2022/09/15 17:24:49 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 17:24:49 - mmengine - INFO - Epoch(train) [1][14000/31614] lr: 3.0000e-04 eta: 20:01:54 time: 0.5493 data_time: 0.0648 memory: 26765 loss_ce: 0.0254 loss: 0.0254 2022/09/15 17:25:34 - mmengine - INFO - Epoch(train) [1][14100/31614] lr: 3.0000e-04 eta: 20:00:09 time: 0.4642 data_time: 0.0592 memory: 26765 loss_ce: 0.0228 loss: 0.0228 2022/09/15 17:26:18 - mmengine - INFO - Epoch(train) [1][14200/31614] lr: 3.0000e-04 eta: 19:58:25 time: 0.3795 data_time: 0.0091 memory: 26765 loss_ce: 0.0270 loss: 0.0270 2022/09/15 17:27:04 - mmengine - INFO - Epoch(train) [1][14300/31614] lr: 3.0000e-04 eta: 19:56:49 time: 0.3986 data_time: 0.0087 memory: 26765 loss_ce: 0.0317 loss: 0.0317 2022/09/15 17:27:48 - mmengine - INFO - Epoch(train) [1][14400/31614] lr: 3.0000e-04 eta: 19:55:04 time: 0.4047 data_time: 0.0115 memory: 26765 loss_ce: 0.0288 loss: 0.0288 2022/09/15 17:28:35 - mmengine - INFO - Epoch(train) [1][14500/31614] lr: 3.0000e-04 eta: 19:53:43 time: 0.5178 data_time: 0.0516 memory: 26765 loss_ce: 0.0232 loss: 0.0232 2022/09/15 17:29:20 - mmengine - INFO - Epoch(train) [1][14600/31614] lr: 3.0000e-04 eta: 19:52:09 time: 0.5503 data_time: 0.0481 memory: 26765 loss_ce: 0.0252 loss: 0.0252 2022/09/15 17:30:06 - mmengine - INFO - Epoch(train) [1][14700/31614] lr: 3.0000e-04 eta: 19:50:35 time: 0.4745 data_time: 0.0630 memory: 26765 loss_ce: 0.0290 loss: 0.0290 2022/09/15 17:30:51 - mmengine - INFO - Epoch(train) [1][14800/31614] lr: 3.0000e-04 eta: 19:48:56 time: 0.4066 data_time: 0.0089 memory: 26765 loss_ce: 0.0227 loss: 0.0227 2022/09/15 17:31:35 - mmengine - INFO - Epoch(train) [1][14900/31614] lr: 3.0000e-04 eta: 19:47:12 time: 0.3778 data_time: 0.0088 memory: 26765 loss_ce: 0.0241 loss: 0.0241 2022/09/15 17:32:20 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 17:32:20 - mmengine - INFO - Epoch(train) [1][15000/31614] lr: 3.0000e-04 eta: 19:45:43 time: 0.3866 data_time: 0.0121 memory: 26765 loss_ce: 0.0276 loss: 0.0276 2022/09/15 17:33:06 - mmengine - INFO - Epoch(train) [1][15100/31614] lr: 3.0000e-04 eta: 19:44:18 time: 0.4896 data_time: 0.0485 memory: 26765 loss_ce: 0.0251 loss: 0.0251 2022/09/15 17:33:52 - mmengine - INFO - Epoch(train) [1][15200/31614] lr: 3.0000e-04 eta: 19:42:52 time: 0.5672 data_time: 0.0546 memory: 26765 loss_ce: 0.0297 loss: 0.0297 2022/09/15 17:34:38 - mmengine - INFO - Epoch(train) [1][15300/31614] lr: 3.0000e-04 eta: 19:41:29 time: 0.5121 data_time: 0.0682 memory: 26765 loss_ce: 0.0232 loss: 0.0232 2022/09/15 17:35:23 - mmengine - INFO - Epoch(train) [1][15400/31614] lr: 3.0000e-04 eta: 19:39:55 time: 0.3937 data_time: 0.0103 memory: 26765 loss_ce: 0.0242 loss: 0.0242 2022/09/15 17:36:09 - mmengine - INFO - Epoch(train) [1][15500/31614] lr: 3.0000e-04 eta: 19:38:30 time: 0.3779 data_time: 0.0069 memory: 26765 loss_ce: 0.0206 loss: 0.0206 2022/09/15 17:36:54 - mmengine - INFO - Epoch(train) [1][15600/31614] lr: 3.0000e-04 eta: 19:37:02 time: 0.4001 data_time: 0.0121 memory: 26765 loss_ce: 0.0249 loss: 0.0249 2022/09/15 17:37:40 - mmengine - INFO - Epoch(train) [1][15700/31614] lr: 3.0000e-04 eta: 19:35:38 time: 0.5012 data_time: 0.0478 memory: 26765 loss_ce: 0.0259 loss: 0.0259 2022/09/15 17:38:26 - mmengine - INFO - Epoch(train) [1][15800/31614] lr: 3.0000e-04 eta: 19:34:12 time: 0.5264 data_time: 0.0602 memory: 26765 loss_ce: 0.0214 loss: 0.0214 2022/09/15 17:39:11 - mmengine - INFO - Epoch(train) [1][15900/31614] lr: 3.0000e-04 eta: 19:32:42 time: 0.4595 data_time: 0.0348 memory: 26765 loss_ce: 0.0260 loss: 0.0260 2022/09/15 17:39:56 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 17:39:56 - mmengine - INFO - Epoch(train) [1][16000/31614] lr: 3.0000e-04 eta: 19:31:19 time: 0.3787 data_time: 0.0097 memory: 26765 loss_ce: 0.0232 loss: 0.0232 2022/09/15 17:40:41 - mmengine - INFO - Epoch(train) [1][16100/31614] lr: 3.0000e-04 eta: 19:29:49 time: 0.3842 data_time: 0.0087 memory: 26765 loss_ce: 0.0204 loss: 0.0204 2022/09/15 17:41:26 - mmengine - INFO - Epoch(train) [1][16200/31614] lr: 3.0000e-04 eta: 19:28:19 time: 0.3801 data_time: 0.0124 memory: 26765 loss_ce: 0.0231 loss: 0.0231 2022/09/15 17:42:13 - mmengine - INFO - Epoch(train) [1][16300/31614] lr: 3.0000e-04 eta: 19:27:07 time: 0.5174 data_time: 0.0776 memory: 26765 loss_ce: 0.0236 loss: 0.0236 2022/09/15 17:42:58 - mmengine - INFO - Epoch(train) [1][16400/31614] lr: 3.0000e-04 eta: 19:25:44 time: 0.5318 data_time: 0.0503 memory: 26765 loss_ce: 0.0247 loss: 0.0247 2022/09/15 17:43:44 - mmengine - INFO - Epoch(train) [1][16500/31614] lr: 3.0000e-04 eta: 19:24:18 time: 0.4739 data_time: 0.0323 memory: 26765 loss_ce: 0.0201 loss: 0.0201 2022/09/15 17:44:29 - mmengine - INFO - Epoch(train) [1][16600/31614] lr: 3.0000e-04 eta: 19:22:52 time: 0.3775 data_time: 0.0043 memory: 26765 loss_ce: 0.0220 loss: 0.0220 2022/09/15 17:45:14 - mmengine - INFO - Epoch(train) [1][16700/31614] lr: 3.0000e-04 eta: 19:21:27 time: 0.3782 data_time: 0.0051 memory: 26765 loss_ce: 0.0199 loss: 0.0199 2022/09/15 17:45:58 - mmengine - INFO - Epoch(train) [1][16800/31614] lr: 3.0000e-04 eta: 19:19:58 time: 0.3783 data_time: 0.0089 memory: 26765 loss_ce: 0.0248 loss: 0.0248 2022/09/15 17:46:45 - mmengine - INFO - Epoch(train) [1][16900/31614] lr: 3.0000e-04 eta: 19:18:50 time: 0.5338 data_time: 0.0824 memory: 26765 loss_ce: 0.0240 loss: 0.0240 2022/09/15 17:47:31 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 17:47:31 - mmengine - INFO - Epoch(train) [1][17000/31614] lr: 3.0000e-04 eta: 19:17:32 time: 0.5541 data_time: 0.0837 memory: 26765 loss_ce: 0.0246 loss: 0.0246 2022/09/15 17:48:16 - mmengine - INFO - Epoch(train) [1][17100/31614] lr: 3.0000e-04 eta: 19:16:09 time: 0.4701 data_time: 0.0383 memory: 26765 loss_ce: 0.0218 loss: 0.0218 2022/09/15 17:49:01 - mmengine - INFO - Epoch(train) [1][17200/31614] lr: 3.0000e-04 eta: 19:14:47 time: 0.3739 data_time: 0.0051 memory: 26765 loss_ce: 0.0266 loss: 0.0266 2022/09/15 17:49:46 - mmengine - INFO - Epoch(train) [1][17300/31614] lr: 3.0000e-04 eta: 19:13:19 time: 0.3745 data_time: 0.0046 memory: 26765 loss_ce: 0.0271 loss: 0.0271 2022/09/15 17:50:31 - mmengine - INFO - Epoch(train) [1][17400/31614] lr: 3.0000e-04 eta: 19:11:55 time: 0.3794 data_time: 0.0108 memory: 26765 loss_ce: 0.0159 loss: 0.0159 2022/09/15 17:51:18 - mmengine - INFO - Epoch(train) [1][17500/31614] lr: 3.0000e-04 eta: 19:10:53 time: 0.5094 data_time: 0.0549 memory: 26765 loss_ce: 0.0219 loss: 0.0219 2022/09/15 17:52:03 - mmengine - INFO - Epoch(train) [1][17600/31614] lr: 3.0000e-04 eta: 19:09:29 time: 0.4920 data_time: 0.0514 memory: 26765 loss_ce: 0.0177 loss: 0.0177 2022/09/15 17:52:49 - mmengine - INFO - Epoch(train) [1][17700/31614] lr: 3.0000e-04 eta: 19:08:16 time: 0.5061 data_time: 0.0592 memory: 26765 loss_ce: 0.0252 loss: 0.0252 2022/09/15 17:53:34 - mmengine - INFO - Epoch(train) [1][17800/31614] lr: 3.0000e-04 eta: 19:06:57 time: 0.4081 data_time: 0.0045 memory: 26765 loss_ce: 0.0253 loss: 0.0253 2022/09/15 17:54:19 - mmengine - INFO - Epoch(train) [1][17900/31614] lr: 3.0000e-04 eta: 19:05:33 time: 0.3747 data_time: 0.0050 memory: 26765 loss_ce: 0.0263 loss: 0.0263 2022/09/15 17:55:04 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 17:55:04 - mmengine - INFO - Epoch(train) [1][18000/31614] lr: 3.0000e-04 eta: 19:04:11 time: 0.4058 data_time: 0.0098 memory: 26765 loss_ce: 0.0244 loss: 0.0244 2022/09/15 17:55:51 - mmengine - INFO - Epoch(train) [1][18100/31614] lr: 3.0000e-04 eta: 19:03:04 time: 0.5660 data_time: 0.0833 memory: 26765 loss_ce: 0.0217 loss: 0.0217 2022/09/15 17:56:36 - mmengine - INFO - Epoch(train) [1][18200/31614] lr: 3.0000e-04 eta: 19:01:46 time: 0.5630 data_time: 0.0539 memory: 26765 loss_ce: 0.0221 loss: 0.0221 2022/09/15 17:57:21 - mmengine - INFO - Epoch(train) [1][18300/31614] lr: 3.0000e-04 eta: 19:00:25 time: 0.4492 data_time: 0.0373 memory: 26765 loss_ce: 0.0221 loss: 0.0221 2022/09/15 17:58:05 - mmengine - INFO - Epoch(train) [1][18400/31614] lr: 3.0000e-04 eta: 18:59:04 time: 0.3760 data_time: 0.0047 memory: 26765 loss_ce: 0.0204 loss: 0.0204 2022/09/15 17:58:50 - mmengine - INFO - Epoch(train) [1][18500/31614] lr: 3.0000e-04 eta: 18:57:46 time: 0.3991 data_time: 0.0056 memory: 26765 loss_ce: 0.0235 loss: 0.0235 2022/09/15 17:59:35 - mmengine - INFO - Epoch(train) [1][18600/31614] lr: 3.0000e-04 eta: 18:56:24 time: 0.3858 data_time: 0.0109 memory: 26765 loss_ce: 0.0207 loss: 0.0207 2022/09/15 18:00:25 - mmengine - INFO - Epoch(train) [1][18700/31614] lr: 3.0000e-04 eta: 18:55:45 time: 0.4837 data_time: 0.0539 memory: 26765 loss_ce: 0.0214 loss: 0.0214 2022/09/15 18:01:11 - mmengine - INFO - Epoch(train) [1][18800/31614] lr: 3.0000e-04 eta: 18:54:35 time: 0.6074 data_time: 0.0694 memory: 26765 loss_ce: 0.0231 loss: 0.0231 2022/09/15 18:01:56 - mmengine - INFO - Epoch(train) [1][18900/31614] lr: 3.0000e-04 eta: 18:53:17 time: 0.4648 data_time: 0.0549 memory: 26765 loss_ce: 0.0251 loss: 0.0251 2022/09/15 18:02:40 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 18:02:40 - mmengine - INFO - Epoch(train) [1][19000/31614] lr: 3.0000e-04 eta: 18:51:55 time: 0.3742 data_time: 0.0046 memory: 26765 loss_ce: 0.0259 loss: 0.0259 2022/09/15 18:03:25 - mmengine - INFO - Epoch(train) [1][19100/31614] lr: 3.0000e-04 eta: 18:50:37 time: 0.3744 data_time: 0.0058 memory: 26765 loss_ce: 0.0258 loss: 0.0258 2022/09/15 18:04:11 - mmengine - INFO - Epoch(train) [1][19200/31614] lr: 3.0000e-04 eta: 18:49:23 time: 0.3770 data_time: 0.0097 memory: 26765 loss_ce: 0.0143 loss: 0.0143 2022/09/15 18:04:57 - mmengine - INFO - Epoch(train) [1][19300/31614] lr: 3.0000e-04 eta: 18:48:13 time: 0.5010 data_time: 0.0614 memory: 26765 loss_ce: 0.0192 loss: 0.0192 2022/09/15 18:05:41 - mmengine - INFO - Epoch(train) [1][19400/31614] lr: 3.0000e-04 eta: 18:46:56 time: 0.5024 data_time: 0.0538 memory: 26765 loss_ce: 0.0205 loss: 0.0205 2022/09/15 18:06:27 - mmengine - INFO - Epoch(train) [1][19500/31614] lr: 3.0000e-04 eta: 18:45:42 time: 0.5281 data_time: 0.0351 memory: 26765 loss_ce: 0.0244 loss: 0.0244 2022/09/15 18:07:11 - mmengine - INFO - Epoch(train) [1][19600/31614] lr: 3.0000e-04 eta: 18:44:24 time: 0.3750 data_time: 0.0042 memory: 26765 loss_ce: 0.0176 loss: 0.0176 2022/09/15 18:07:57 - mmengine - INFO - Epoch(train) [1][19700/31614] lr: 3.0000e-04 eta: 18:43:14 time: 0.3770 data_time: 0.0046 memory: 26765 loss_ce: 0.0275 loss: 0.0275 2022/09/15 18:08:42 - mmengine - INFO - Epoch(train) [1][19800/31614] lr: 3.0000e-04 eta: 18:42:00 time: 0.3773 data_time: 0.0092 memory: 26765 loss_ce: 0.0204 loss: 0.0204 2022/09/15 18:09:30 - mmengine - INFO - Epoch(train) [1][19900/31614] lr: 3.0000e-04 eta: 18:41:08 time: 0.6051 data_time: 0.0877 memory: 26765 loss_ce: 0.0235 loss: 0.0235 2022/09/15 18:10:15 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 18:10:15 - mmengine - INFO - Epoch(train) [1][20000/31614] lr: 3.0000e-04 eta: 18:39:54 time: 0.5410 data_time: 0.0729 memory: 26765 loss_ce: 0.0250 loss: 0.0250 2022/09/15 18:11:01 - mmengine - INFO - Epoch(train) [1][20100/31614] lr: 3.0000e-04 eta: 18:38:43 time: 0.4448 data_time: 0.0377 memory: 26765 loss_ce: 0.0279 loss: 0.0279 2022/09/15 18:11:45 - mmengine - INFO - Epoch(train) [1][20200/31614] lr: 3.0000e-04 eta: 18:37:28 time: 0.3795 data_time: 0.0046 memory: 26765 loss_ce: 0.0213 loss: 0.0213 2022/09/15 18:12:31 - mmengine - INFO - Epoch(train) [1][20300/31614] lr: 3.0000e-04 eta: 18:36:18 time: 0.4024 data_time: 0.0048 memory: 26765 loss_ce: 0.0221 loss: 0.0221 2022/09/15 18:13:16 - mmengine - INFO - Epoch(train) [1][20400/31614] lr: 3.0000e-04 eta: 18:35:07 time: 0.3809 data_time: 0.0098 memory: 26765 loss_ce: 0.0283 loss: 0.0283 2022/09/15 18:14:02 - mmengine - INFO - Epoch(train) [1][20500/31614] lr: 3.0000e-04 eta: 18:34:02 time: 0.5179 data_time: 0.0519 memory: 26765 loss_ce: 0.0230 loss: 0.0230 2022/09/15 18:14:48 - mmengine - INFO - Epoch(train) [1][20600/31614] lr: 3.0000e-04 eta: 18:32:51 time: 0.5376 data_time: 0.0821 memory: 26765 loss_ce: 0.0188 loss: 0.0188 2022/09/15 18:15:33 - mmengine - INFO - Epoch(train) [1][20700/31614] lr: 3.0000e-04 eta: 18:31:38 time: 0.4670 data_time: 0.0609 memory: 26765 loss_ce: 0.0215 loss: 0.0215 2022/09/15 18:16:17 - mmengine - INFO - Epoch(train) [1][20800/31614] lr: 3.0000e-04 eta: 18:30:25 time: 0.3885 data_time: 0.0052 memory: 26765 loss_ce: 0.0169 loss: 0.0169 2022/09/15 18:17:02 - mmengine - INFO - Epoch(train) [1][20900/31614] lr: 3.0000e-04 eta: 18:29:13 time: 0.3794 data_time: 0.0049 memory: 26765 loss_ce: 0.0250 loss: 0.0250 2022/09/15 18:17:47 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 18:17:47 - mmengine - INFO - Epoch(train) [1][21000/31614] lr: 3.0000e-04 eta: 18:27:59 time: 0.3850 data_time: 0.0100 memory: 26765 loss_ce: 0.0266 loss: 0.0266 2022/09/15 18:18:33 - mmengine - INFO - Epoch(train) [1][21100/31614] lr: 3.0000e-04 eta: 18:26:56 time: 0.5028 data_time: 0.0547 memory: 26765 loss_ce: 0.0224 loss: 0.0224 2022/09/15 18:19:18 - mmengine - INFO - Epoch(train) [1][21200/31614] lr: 3.0000e-04 eta: 18:25:42 time: 0.4980 data_time: 0.0551 memory: 26765 loss_ce: 0.0184 loss: 0.0184 2022/09/15 18:20:03 - mmengine - INFO - Epoch(train) [1][21300/31614] lr: 3.0000e-04 eta: 18:24:34 time: 0.5025 data_time: 0.0704 memory: 26765 loss_ce: 0.0250 loss: 0.0250 2022/09/15 18:20:48 - mmengine - INFO - Epoch(train) [1][21400/31614] lr: 3.0000e-04 eta: 18:23:23 time: 0.4084 data_time: 0.0022 memory: 26765 loss_ce: 0.0223 loss: 0.0223 2022/09/15 18:21:33 - mmengine - INFO - Epoch(train) [1][21500/31614] lr: 3.0000e-04 eta: 18:22:10 time: 0.3749 data_time: 0.0020 memory: 26765 loss_ce: 0.0210 loss: 0.0210 2022/09/15 18:22:18 - mmengine - INFO - Epoch(train) [1][21600/31614] lr: 3.0000e-04 eta: 18:21:00 time: 0.3816 data_time: 0.0076 memory: 26765 loss_ce: 0.0207 loss: 0.0207 2022/09/15 18:23:04 - mmengine - INFO - Epoch(train) [1][21700/31614] lr: 3.0000e-04 eta: 18:19:59 time: 0.5312 data_time: 0.0809 memory: 26765 loss_ce: 0.0280 loss: 0.0280 2022/09/15 18:23:49 - mmengine - INFO - Epoch(train) [1][21800/31614] lr: 3.0000e-04 eta: 18:18:51 time: 0.5580 data_time: 0.0849 memory: 26765 loss_ce: 0.0222 loss: 0.0222 2022/09/15 18:24:36 - mmengine - INFO - Epoch(train) [1][21900/31614] lr: 3.0000e-04 eta: 18:17:48 time: 0.4836 data_time: 0.0411 memory: 26765 loss_ce: 0.0212 loss: 0.0212 2022/09/15 18:25:21 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 18:25:21 - mmengine - INFO - Epoch(train) [1][22000/31614] lr: 3.0000e-04 eta: 18:16:42 time: 0.3771 data_time: 0.0027 memory: 26765 loss_ce: 0.0199 loss: 0.0199 2022/09/15 18:26:06 - mmengine - INFO - Epoch(train) [1][22100/31614] lr: 3.0000e-04 eta: 18:15:32 time: 0.3792 data_time: 0.0021 memory: 26765 loss_ce: 0.0220 loss: 0.0220 2022/09/15 18:26:52 - mmengine - INFO - Epoch(train) [1][22200/31614] lr: 3.0000e-04 eta: 18:14:29 time: 0.3995 data_time: 0.0074 memory: 26765 loss_ce: 0.0194 loss: 0.0194 2022/09/15 18:27:38 - mmengine - INFO - Epoch(train) [1][22300/31614] lr: 3.0000e-04 eta: 18:13:27 time: 0.5264 data_time: 0.0559 memory: 26765 loss_ce: 0.0221 loss: 0.0221 2022/09/15 18:28:23 - mmengine - INFO - Epoch(train) [1][22400/31614] lr: 3.0000e-04 eta: 18:12:20 time: 0.5257 data_time: 0.0548 memory: 26765 loss_ce: 0.0222 loss: 0.0222 2022/09/15 18:29:08 - mmengine - INFO - Epoch(train) [1][22500/31614] lr: 3.0000e-04 eta: 18:11:12 time: 0.4850 data_time: 0.0632 memory: 26765 loss_ce: 0.0207 loss: 0.0207 2022/09/15 18:29:54 - mmengine - INFO - Epoch(train) [1][22600/31614] lr: 3.0000e-04 eta: 18:10:06 time: 0.3763 data_time: 0.0021 memory: 26765 loss_ce: 0.0189 loss: 0.0189 2022/09/15 18:30:39 - mmengine - INFO - Epoch(train) [1][22700/31614] lr: 3.0000e-04 eta: 18:09:03 time: 0.4268 data_time: 0.0026 memory: 26765 loss_ce: 0.0216 loss: 0.0216 2022/09/15 18:31:24 - mmengine - INFO - Epoch(train) [1][22800/31614] lr: 3.0000e-04 eta: 18:07:55 time: 0.3829 data_time: 0.0074 memory: 26765 loss_ce: 0.0232 loss: 0.0232 2022/09/15 18:32:11 - mmengine - INFO - Epoch(train) [1][22900/31614] lr: 3.0000e-04 eta: 18:06:57 time: 0.5802 data_time: 0.0870 memory: 26765 loss_ce: 0.0195 loss: 0.0195 2022/09/15 18:32:56 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 18:32:56 - mmengine - INFO - Epoch(train) [1][23000/31614] lr: 3.0000e-04 eta: 18:05:50 time: 0.5667 data_time: 0.0754 memory: 26765 loss_ce: 0.0215 loss: 0.0215 2022/09/15 18:33:41 - mmengine - INFO - Epoch(train) [1][23100/31614] lr: 3.0000e-04 eta: 18:04:41 time: 0.4392 data_time: 0.0364 memory: 26765 loss_ce: 0.0211 loss: 0.0211 2022/09/15 18:34:25 - mmengine - INFO - Epoch(train) [1][23200/31614] lr: 3.0000e-04 eta: 18:03:32 time: 0.3958 data_time: 0.0021 memory: 26765 loss_ce: 0.0231 loss: 0.0231 2022/09/15 18:35:10 - mmengine - INFO - Epoch(train) [1][23300/31614] lr: 3.0000e-04 eta: 18:02:26 time: 0.3750 data_time: 0.0021 memory: 26765 loss_ce: 0.0216 loss: 0.0216 2022/09/15 18:35:56 - mmengine - INFO - Epoch(train) [1][23400/31614] lr: 3.0000e-04 eta: 18:01:20 time: 0.3824 data_time: 0.0071 memory: 26765 loss_ce: 0.0198 loss: 0.0198 2022/09/15 18:36:42 - mmengine - INFO - Epoch(train) [1][23500/31614] lr: 3.0000e-04 eta: 18:00:23 time: 0.5272 data_time: 0.0603 memory: 26765 loss_ce: 0.0256 loss: 0.0256 2022/09/15 18:37:27 - mmengine - INFO - Epoch(train) [1][23600/31614] lr: 3.0000e-04 eta: 17:59:17 time: 0.5523 data_time: 0.0714 memory: 26765 loss_ce: 0.0221 loss: 0.0221 2022/09/15 18:38:12 - mmengine - INFO - Epoch(train) [1][23700/31614] lr: 3.0000e-04 eta: 17:58:08 time: 0.4437 data_time: 0.0365 memory: 26765 loss_ce: 0.0230 loss: 0.0230 2022/09/15 18:38:57 - mmengine - INFO - Epoch(train) [1][23800/31614] lr: 3.0000e-04 eta: 17:57:04 time: 0.3783 data_time: 0.0025 memory: 26765 loss_ce: 0.0217 loss: 0.0217 2022/09/15 18:39:42 - mmengine - INFO - Epoch(train) [1][23900/31614] lr: 3.0000e-04 eta: 17:55:59 time: 0.3752 data_time: 0.0020 memory: 26765 loss_ce: 0.0212 loss: 0.0212 2022/09/15 18:40:27 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 18:40:27 - mmengine - INFO - Epoch(train) [1][24000/31614] lr: 3.0000e-04 eta: 17:54:51 time: 0.3870 data_time: 0.0069 memory: 26765 loss_ce: 0.0204 loss: 0.0204 2022/09/15 18:41:14 - mmengine - INFO - Epoch(train) [1][24100/31614] lr: 3.0000e-04 eta: 17:53:57 time: 0.5695 data_time: 0.0987 memory: 26765 loss_ce: 0.0212 loss: 0.0212 2022/09/15 18:41:59 - mmengine - INFO - Epoch(train) [1][24200/31614] lr: 3.0000e-04 eta: 17:52:51 time: 0.5228 data_time: 0.0545 memory: 26765 loss_ce: 0.0227 loss: 0.0227 2022/09/15 18:42:44 - mmengine - INFO - Epoch(train) [1][24300/31614] lr: 3.0000e-04 eta: 17:51:46 time: 0.4845 data_time: 0.0628 memory: 26765 loss_ce: 0.0194 loss: 0.0194 2022/09/15 18:43:29 - mmengine - INFO - Epoch(train) [1][24400/31614] lr: 3.0000e-04 eta: 17:50:43 time: 0.3991 data_time: 0.0032 memory: 26765 loss_ce: 0.0198 loss: 0.0198 2022/09/15 18:44:15 - mmengine - INFO - Epoch(train) [1][24500/31614] lr: 3.0000e-04 eta: 17:49:43 time: 0.4043 data_time: 0.0023 memory: 26765 loss_ce: 0.0191 loss: 0.0191 2022/09/15 18:45:00 - mmengine - INFO - Epoch(train) [1][24600/31614] lr: 3.0000e-04 eta: 17:48:37 time: 0.3856 data_time: 0.0082 memory: 26765 loss_ce: 0.0163 loss: 0.0163 2022/09/15 18:45:46 - mmengine - INFO - Epoch(train) [1][24700/31614] lr: 3.0000e-04 eta: 17:47:40 time: 0.5078 data_time: 0.0550 memory: 26765 loss_ce: 0.0196 loss: 0.0196 2022/09/15 18:46:32 - mmengine - INFO - Epoch(train) [1][24800/31614] lr: 3.0000e-04 eta: 17:46:38 time: 0.5709 data_time: 0.0708 memory: 26765 loss_ce: 0.0229 loss: 0.0229 2022/09/15 18:47:16 - mmengine - INFO - Epoch(train) [1][24900/31614] lr: 3.0000e-04 eta: 17:45:30 time: 0.4652 data_time: 0.0477 memory: 26765 loss_ce: 0.0204 loss: 0.0204 2022/09/15 18:48:00 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 18:48:00 - mmengine - INFO - Epoch(train) [1][25000/31614] lr: 3.0000e-04 eta: 17:44:24 time: 0.3855 data_time: 0.0022 memory: 26765 loss_ce: 0.0157 loss: 0.0157 2022/09/15 18:48:45 - mmengine - INFO - Epoch(train) [1][25100/31614] lr: 3.0000e-04 eta: 17:43:20 time: 0.3827 data_time: 0.0021 memory: 26765 loss_ce: 0.0207 loss: 0.0207 2022/09/15 18:49:30 - mmengine - INFO - Epoch(train) [1][25200/31614] lr: 3.0000e-04 eta: 17:42:14 time: 0.3835 data_time: 0.0072 memory: 26765 loss_ce: 0.0160 loss: 0.0160 2022/09/15 18:50:16 - mmengine - INFO - Epoch(train) [1][25300/31614] lr: 3.0000e-04 eta: 17:41:17 time: 0.5320 data_time: 0.0839 memory: 26765 loss_ce: 0.0181 loss: 0.0181 2022/09/15 18:51:02 - mmengine - INFO - Epoch(train) [1][25400/31614] lr: 3.0000e-04 eta: 17:40:15 time: 0.5513 data_time: 0.0785 memory: 26765 loss_ce: 0.0179 loss: 0.0179 2022/09/15 18:51:46 - mmengine - INFO - Epoch(train) [1][25500/31614] lr: 3.0000e-04 eta: 17:39:06 time: 0.4355 data_time: 0.0371 memory: 26765 loss_ce: 0.0225 loss: 0.0225 2022/09/15 18:52:31 - mmengine - INFO - Epoch(train) [1][25600/31614] lr: 3.0000e-04 eta: 17:38:04 time: 0.3812 data_time: 0.0020 memory: 26765 loss_ce: 0.0232 loss: 0.0232 2022/09/15 18:53:15 - mmengine - INFO - Epoch(train) [1][25700/31614] lr: 3.0000e-04 eta: 17:36:59 time: 0.3786 data_time: 0.0026 memory: 26765 loss_ce: 0.0222 loss: 0.0222 2022/09/15 18:54:00 - mmengine - INFO - Epoch(train) [1][25800/31614] lr: 3.0000e-04 eta: 17:35:56 time: 0.3827 data_time: 0.0074 memory: 26765 loss_ce: 0.0170 loss: 0.0170 2022/09/15 18:54:47 - mmengine - INFO - Epoch(train) [1][25900/31614] lr: 3.0000e-04 eta: 17:35:01 time: 0.5485 data_time: 0.0567 memory: 26765 loss_ce: 0.0173 loss: 0.0173 2022/09/15 18:55:32 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 18:55:32 - mmengine - INFO - Epoch(train) [1][26000/31614] lr: 3.0000e-04 eta: 17:33:59 time: 0.5316 data_time: 0.0565 memory: 26765 loss_ce: 0.0155 loss: 0.0155 2022/09/15 18:56:16 - mmengine - INFO - Epoch(train) [1][26100/31614] lr: 3.0000e-04 eta: 17:32:52 time: 0.4709 data_time: 0.0743 memory: 26765 loss_ce: 0.0175 loss: 0.0175 2022/09/15 18:57:01 - mmengine - INFO - Epoch(train) [1][26200/31614] lr: 3.0000e-04 eta: 17:31:48 time: 0.3893 data_time: 0.0022 memory: 26765 loss_ce: 0.0187 loss: 0.0187 2022/09/15 18:57:45 - mmengine - INFO - Epoch(train) [1][26300/31614] lr: 3.0000e-04 eta: 17:30:42 time: 0.3800 data_time: 0.0028 memory: 26765 loss_ce: 0.0187 loss: 0.0187 2022/09/15 18:58:31 - mmengine - INFO - Epoch(train) [1][26400/31614] lr: 3.0000e-04 eta: 17:29:45 time: 0.3950 data_time: 0.0079 memory: 26765 loss_ce: 0.0183 loss: 0.0183 2022/09/15 18:59:17 - mmengine - INFO - Epoch(train) [1][26500/31614] lr: 3.0000e-04 eta: 17:28:47 time: 0.5756 data_time: 0.0835 memory: 26765 loss_ce: 0.0203 loss: 0.0203 2022/09/15 19:00:01 - mmengine - INFO - Epoch(train) [1][26600/31614] lr: 3.0000e-04 eta: 17:27:41 time: 0.5216 data_time: 0.0911 memory: 26765 loss_ce: 0.0216 loss: 0.0216 2022/09/15 19:00:46 - mmengine - INFO - Epoch(train) [1][26700/31614] lr: 3.0000e-04 eta: 17:26:41 time: 0.4515 data_time: 0.0441 memory: 26765 loss_ce: 0.0164 loss: 0.0164 2022/09/15 19:01:31 - mmengine - INFO - Epoch(train) [1][26800/31614] lr: 3.0000e-04 eta: 17:25:36 time: 0.3800 data_time: 0.0021 memory: 26765 loss_ce: 0.0195 loss: 0.0195 2022/09/15 19:02:15 - mmengine - INFO - Epoch(train) [1][26900/31614] lr: 3.0000e-04 eta: 17:24:32 time: 0.3807 data_time: 0.0031 memory: 26765 loss_ce: 0.0193 loss: 0.0193 2022/09/15 19:03:00 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 19:03:00 - mmengine - INFO - Epoch(train) [1][27000/31614] lr: 3.0000e-04 eta: 17:23:28 time: 0.3862 data_time: 0.0080 memory: 26765 loss_ce: 0.0173 loss: 0.0173 2022/09/15 19:03:45 - mmengine - INFO - Epoch(train) [1][27100/31614] lr: 3.0000e-04 eta: 17:22:30 time: 0.5002 data_time: 0.0525 memory: 26765 loss_ce: 0.0214 loss: 0.0214 2022/09/15 19:04:30 - mmengine - INFO - Epoch(train) [1][27200/31614] lr: 3.0000e-04 eta: 17:21:28 time: 0.5489 data_time: 0.0865 memory: 26765 loss_ce: 0.0199 loss: 0.0199 2022/09/15 19:05:15 - mmengine - INFO - Epoch(train) [1][27300/31614] lr: 3.0000e-04 eta: 17:20:25 time: 0.4398 data_time: 0.0361 memory: 26765 loss_ce: 0.0185 loss: 0.0185 2022/09/15 19:06:00 - mmengine - INFO - Epoch(train) [1][27400/31614] lr: 3.0000e-04 eta: 17:19:24 time: 0.3802 data_time: 0.0023 memory: 26765 loss_ce: 0.0198 loss: 0.0198 2022/09/15 19:06:45 - mmengine - INFO - Epoch(train) [1][27500/31614] lr: 3.0000e-04 eta: 17:18:23 time: 0.3916 data_time: 0.0021 memory: 26765 loss_ce: 0.0222 loss: 0.0222 2022/09/15 19:07:29 - mmengine - INFO - Epoch(train) [1][27600/31614] lr: 3.0000e-04 eta: 17:17:21 time: 0.3842 data_time: 0.0072 memory: 26765 loss_ce: 0.0188 loss: 0.0188 2022/09/15 19:08:15 - mmengine - INFO - Epoch(train) [1][27700/31614] lr: 3.0000e-04 eta: 17:16:25 time: 0.5330 data_time: 0.0816 memory: 26765 loss_ce: 0.0181 loss: 0.0181 2022/09/15 19:09:00 - mmengine - INFO - Epoch(train) [1][27800/31614] lr: 3.0000e-04 eta: 17:15:23 time: 0.5139 data_time: 0.0574 memory: 26765 loss_ce: 0.0188 loss: 0.0188 2022/09/15 19:09:45 - mmengine - INFO - Epoch(train) [1][27900/31614] lr: 3.0000e-04 eta: 17:14:21 time: 0.4700 data_time: 0.0692 memory: 26765 loss_ce: 0.0206 loss: 0.0206 2022/09/15 19:10:30 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 19:10:30 - mmengine - INFO - Epoch(train) [1][28000/31614] lr: 3.0000e-04 eta: 17:13:22 time: 0.3798 data_time: 0.0021 memory: 26765 loss_ce: 0.0212 loss: 0.0212 2022/09/15 19:11:14 - mmengine - INFO - Epoch(train) [1][28100/31614] lr: 3.0000e-04 eta: 17:12:17 time: 0.3788 data_time: 0.0024 memory: 26765 loss_ce: 0.0145 loss: 0.0145 2022/09/15 19:11:58 - mmengine - INFO - Epoch(train) [1][28200/31614] lr: 3.0000e-04 eta: 17:11:15 time: 0.3789 data_time: 0.0077 memory: 26765 loss_ce: 0.0191 loss: 0.0191 2022/09/15 19:12:44 - mmengine - INFO - Epoch(train) [1][28300/31614] lr: 3.0000e-04 eta: 17:10:19 time: 0.5223 data_time: 0.0567 memory: 26765 loss_ce: 0.0206 loss: 0.0206 2022/09/15 19:13:29 - mmengine - INFO - Epoch(train) [1][28400/31614] lr: 3.0000e-04 eta: 17:09:17 time: 0.5241 data_time: 0.0842 memory: 26765 loss_ce: 0.0171 loss: 0.0171 2022/09/15 19:14:13 - mmengine - INFO - Epoch(train) [1][28500/31614] lr: 3.0000e-04 eta: 17:08:14 time: 0.4684 data_time: 0.0411 memory: 26765 loss_ce: 0.0192 loss: 0.0192 2022/09/15 19:14:58 - mmengine - INFO - Epoch(train) [1][28600/31614] lr: 3.0000e-04 eta: 17:07:16 time: 0.3850 data_time: 0.0027 memory: 26765 loss_ce: 0.0198 loss: 0.0198 2022/09/15 19:15:43 - mmengine - INFO - Epoch(train) [1][28700/31614] lr: 3.0000e-04 eta: 17:06:17 time: 0.3901 data_time: 0.0022 memory: 26765 loss_ce: 0.0204 loss: 0.0204 2022/09/15 19:16:27 - mmengine - INFO - Epoch(train) [1][28800/31614] lr: 3.0000e-04 eta: 17:05:13 time: 0.3790 data_time: 0.0084 memory: 26765 loss_ce: 0.0183 loss: 0.0183 2022/09/15 19:17:13 - mmengine - INFO - Epoch(train) [1][28900/31614] lr: 3.0000e-04 eta: 17:04:19 time: 0.5433 data_time: 0.0770 memory: 26765 loss_ce: 0.0148 loss: 0.0148 2022/09/15 19:17:59 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 19:17:59 - mmengine - INFO - Epoch(train) [1][29000/31614] lr: 3.0000e-04 eta: 17:03:23 time: 0.5299 data_time: 0.0585 memory: 26765 loss_ce: 0.0193 loss: 0.0193 2022/09/15 19:18:43 - mmengine - INFO - Epoch(train) [1][29100/31614] lr: 3.0000e-04 eta: 17:02:21 time: 0.4569 data_time: 0.0529 memory: 26765 loss_ce: 0.0213 loss: 0.0213 2022/09/15 19:19:28 - mmengine - INFO - Epoch(train) [1][29200/31614] lr: 3.0000e-04 eta: 17:01:22 time: 0.3786 data_time: 0.0020 memory: 26765 loss_ce: 0.0188 loss: 0.0188 2022/09/15 19:20:13 - mmengine - INFO - Epoch(train) [1][29300/31614] lr: 3.0000e-04 eta: 17:00:22 time: 0.3787 data_time: 0.0022 memory: 26765 loss_ce: 0.0182 loss: 0.0182 2022/09/15 19:20:59 - mmengine - INFO - Epoch(train) [1][29400/31614] lr: 3.0000e-04 eta: 16:59:25 time: 0.3938 data_time: 0.0080 memory: 26765 loss_ce: 0.0180 loss: 0.0180 2022/09/15 19:21:45 - mmengine - INFO - Epoch(train) [1][29500/31614] lr: 3.0000e-04 eta: 16:58:31 time: 0.5528 data_time: 0.0968 memory: 26765 loss_ce: 0.0137 loss: 0.0137 2022/09/15 19:22:30 - mmengine - INFO - Epoch(train) [1][29600/31614] lr: 3.0000e-04 eta: 16:57:33 time: 0.5348 data_time: 0.0936 memory: 26765 loss_ce: 0.0174 loss: 0.0174 2022/09/15 19:23:15 - mmengine - INFO - Epoch(train) [1][29700/31614] lr: 3.0000e-04 eta: 16:56:34 time: 0.4622 data_time: 0.0420 memory: 26765 loss_ce: 0.0196 loss: 0.0196 2022/09/15 19:24:00 - mmengine - INFO - Epoch(train) [1][29800/31614] lr: 3.0000e-04 eta: 16:55:36 time: 0.3802 data_time: 0.0032 memory: 26765 loss_ce: 0.0198 loss: 0.0198 2022/09/15 19:24:44 - mmengine - INFO - Epoch(train) [1][29900/31614] lr: 3.0000e-04 eta: 16:54:34 time: 0.3783 data_time: 0.0024 memory: 26765 loss_ce: 0.0178 loss: 0.0178 2022/09/15 19:25:29 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 19:25:29 - mmengine - INFO - Epoch(train) [1][30000/31614] lr: 3.0000e-04 eta: 16:53:34 time: 0.3798 data_time: 0.0076 memory: 26765 loss_ce: 0.0177 loss: 0.0177 2022/09/15 19:26:14 - mmengine - INFO - Epoch(train) [1][30100/31614] lr: 3.0000e-04 eta: 16:52:39 time: 0.5197 data_time: 0.0543 memory: 26765 loss_ce: 0.0225 loss: 0.0225 2022/09/15 19:26:59 - mmengine - INFO - Epoch(train) [1][30200/31614] lr: 3.0000e-04 eta: 16:51:41 time: 0.5467 data_time: 0.0724 memory: 26765 loss_ce: 0.0215 loss: 0.0215 2022/09/15 19:27:44 - mmengine - INFO - Epoch(train) [1][30300/31614] lr: 3.0000e-04 eta: 16:50:41 time: 0.4674 data_time: 0.0652 memory: 26765 loss_ce: 0.0204 loss: 0.0204 2022/09/15 19:28:28 - mmengine - INFO - Epoch(train) [1][30400/31614] lr: 3.0000e-04 eta: 16:49:42 time: 0.3790 data_time: 0.0022 memory: 26765 loss_ce: 0.0179 loss: 0.0179 2022/09/15 19:29:14 - mmengine - INFO - Epoch(train) [1][30500/31614] lr: 3.0000e-04 eta: 16:48:45 time: 0.3811 data_time: 0.0021 memory: 26765 loss_ce: 0.0195 loss: 0.0195 2022/09/15 19:29:58 - mmengine - INFO - Epoch(train) [1][30600/31614] lr: 3.0000e-04 eta: 16:47:46 time: 0.3828 data_time: 0.0078 memory: 26765 loss_ce: 0.0150 loss: 0.0150 2022/09/15 19:30:45 - mmengine - INFO - Epoch(train) [1][30700/31614] lr: 3.0000e-04 eta: 16:46:54 time: 0.5668 data_time: 0.0906 memory: 26765 loss_ce: 0.0175 loss: 0.0175 2022/09/15 19:31:29 - mmengine - INFO - Epoch(train) [1][30800/31614] lr: 3.0000e-04 eta: 16:45:55 time: 0.5747 data_time: 0.0617 memory: 26765 loss_ce: 0.0189 loss: 0.0189 2022/09/15 19:32:15 - mmengine - INFO - Epoch(train) [1][30900/31614] lr: 3.0000e-04 eta: 16:45:01 time: 0.4410 data_time: 0.0377 memory: 26765 loss_ce: 0.0196 loss: 0.0196 2022/09/15 19:33:00 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 19:33:00 - mmengine - INFO - Epoch(train) [1][31000/31614] lr: 3.0000e-04 eta: 16:44:04 time: 0.3777 data_time: 0.0031 memory: 26765 loss_ce: 0.0217 loss: 0.0217 2022/09/15 19:33:45 - mmengine - INFO - Epoch(train) [1][31100/31614] lr: 3.0000e-04 eta: 16:43:06 time: 0.3804 data_time: 0.0023 memory: 26765 loss_ce: 0.0166 loss: 0.0166 2022/09/15 19:34:30 - mmengine - INFO - Epoch(train) [1][31200/31614] lr: 3.0000e-04 eta: 16:42:10 time: 0.3892 data_time: 0.0083 memory: 26765 loss_ce: 0.0189 loss: 0.0189 2022/09/15 19:35:17 - mmengine - INFO - Epoch(train) [1][31300/31614] lr: 3.0000e-04 eta: 16:41:19 time: 0.5125 data_time: 0.0547 memory: 26765 loss_ce: 0.0183 loss: 0.0183 2022/09/15 19:36:03 - mmengine - INFO - Epoch(train) [1][31400/31614] lr: 3.0000e-04 eta: 16:40:25 time: 0.6285 data_time: 0.0894 memory: 26765 loss_ce: 0.0143 loss: 0.0143 2022/09/15 19:36:47 - mmengine - INFO - Epoch(train) [1][31500/31614] lr: 3.0000e-04 eta: 16:39:26 time: 0.4346 data_time: 0.0387 memory: 26765 loss_ce: 0.0204 loss: 0.0204 2022/09/15 19:37:33 - mmengine - INFO - Epoch(train) [1][31600/31614] lr: 3.0000e-04 eta: 16:38:31 time: 0.3791 data_time: 0.0021 memory: 26765 loss_ce: 0.0162 loss: 0.0162 2022/09/15 19:37:39 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 19:37:39 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/09/15 19:41:12 - mmengine - INFO - Epoch(val) [1][100/1918] eta: 0:05:17 time: 0.1744 data_time: 0.0008 memory: 26765 2022/09/15 19:41:30 - mmengine - INFO - Epoch(val) [1][200/1918] eta: 0:04:58 time: 0.1739 data_time: 0.0008 memory: 1275 2022/09/15 19:41:48 - mmengine - INFO - Epoch(val) [1][300/1918] eta: 0:04:42 time: 0.1747 data_time: 0.0008 memory: 1275 2022/09/15 19:42:05 - mmengine - INFO - Epoch(val) [1][400/1918] eta: 0:04:23 time: 0.1734 data_time: 0.0007 memory: 1275 2022/09/15 19:42:23 - mmengine - INFO - Epoch(val) [1][500/1918] eta: 0:04:08 time: 0.1754 data_time: 0.0007 memory: 1275 2022/09/15 19:42:41 - mmengine - INFO - Epoch(val) [1][600/1918] eta: 0:03:46 time: 0.1716 data_time: 0.0007 memory: 1275 2022/09/15 19:42:58 - mmengine - INFO - Epoch(val) [1][700/1918] eta: 0:03:34 time: 0.1762 data_time: 0.0007 memory: 1275 2022/09/15 19:43:16 - mmengine - INFO - Epoch(val) [1][800/1918] eta: 0:03:16 time: 0.1758 data_time: 0.0007 memory: 1275 2022/09/15 19:43:34 - mmengine - INFO - Epoch(val) [1][900/1918] eta: 0:02:58 time: 0.1751 data_time: 0.0007 memory: 1275 2022/09/15 19:43:51 - mmengine - INFO - Epoch(val) [1][1000/1918] eta: 0:02:46 time: 0.1814 data_time: 0.0007 memory: 1275 2022/09/15 19:44:09 - mmengine - INFO - Epoch(val) [1][1100/1918] eta: 0:02:22 time: 0.1746 data_time: 0.0007 memory: 1275 2022/09/15 19:44:26 - mmengine - INFO - Epoch(val) [1][1200/1918] eta: 0:02:09 time: 0.1805 data_time: 0.0007 memory: 1275 2022/09/15 19:44:44 - mmengine - INFO - Epoch(val) [1][1300/1918] eta: 0:01:50 time: 0.1793 data_time: 0.0007 memory: 1275 2022/09/15 19:45:02 - mmengine - INFO - Epoch(val) [1][1400/1918] eta: 0:01:29 time: 0.1729 data_time: 0.0007 memory: 1275 2022/09/15 19:45:20 - mmengine - INFO - Epoch(val) [1][1500/1918] eta: 0:01:13 time: 0.1752 data_time: 0.0007 memory: 1275 2022/09/15 19:45:37 - mmengine - INFO - Epoch(val) [1][1600/1918] eta: 0:00:56 time: 0.1764 data_time: 0.0008 memory: 1275 2022/09/15 19:45:55 - mmengine - INFO - Epoch(val) [1][1700/1918] eta: 0:00:38 time: 0.1746 data_time: 0.0011 memory: 1275 2022/09/15 19:46:12 - mmengine - INFO - Epoch(val) [1][1800/1918] eta: 0:00:20 time: 0.1768 data_time: 0.0008 memory: 1275 2022/09/15 19:46:30 - mmengine - INFO - Epoch(val) [1][1900/1918] eta: 0:00:03 time: 0.1720 data_time: 0.0007 memory: 1275 2022/09/15 19:46:42 - mmengine - INFO - Epoch(val) [1][1918/1918] CUTE80/recog/word_acc_ignore_case_symbol: 0.8229 IIIT5K/recog/word_acc_ignore_case_symbol: 0.9253 SVT/recog/word_acc_ignore_case_symbol: 0.8872 SVTP/recog/word_acc_ignore_case_symbol: 0.8310 IC13/recog/word_acc_ignore_case_symbol: 0.9379 IC15/recog/word_acc_ignore_case_symbol: 0.7559 2022/09/15 19:47:32 - mmengine - INFO - Epoch(train) [2][100/31614] lr: 3.0000e-04 eta: 16:37:37 time: 0.4889 data_time: 0.0216 memory: 26764 loss_ce: 0.0183 loss: 0.0183 2022/09/15 19:48:18 - mmengine - INFO - Epoch(train) [2][200/31614] lr: 3.0000e-04 eta: 16:36:43 time: 0.5500 data_time: 0.0544 memory: 26763 loss_ce: 0.0201 loss: 0.0201 2022/09/15 19:49:04 - mmengine - INFO - Epoch(train) [2][300/31614] lr: 3.0000e-04 eta: 16:35:52 time: 0.5107 data_time: 0.0741 memory: 26763 loss_ce: 0.0142 loss: 0.0142 2022/09/15 19:49:44 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 19:49:50 - mmengine - INFO - Epoch(train) [2][400/31614] lr: 3.0000e-04 eta: 16:34:56 time: 0.4176 data_time: 0.0363 memory: 26763 loss_ce: 0.0189 loss: 0.0189 2022/09/15 19:50:34 - mmengine - INFO - Epoch(train) [2][500/31614] lr: 3.0000e-04 eta: 16:33:58 time: 0.3821 data_time: 0.0109 memory: 26763 loss_ce: 0.0202 loss: 0.0202 2022/09/15 19:51:21 - mmengine - INFO - Epoch(train) [2][600/31614] lr: 3.0000e-04 eta: 16:33:07 time: 0.4024 data_time: 0.0054 memory: 26763 loss_ce: 0.0212 loss: 0.0212 2022/09/15 19:52:07 - mmengine - INFO - Epoch(train) [2][700/31614] lr: 3.0000e-04 eta: 16:32:16 time: 0.4885 data_time: 0.0241 memory: 26763 loss_ce: 0.0198 loss: 0.0198 2022/09/15 19:52:54 - mmengine - INFO - Epoch(train) [2][800/31614] lr: 3.0000e-04 eta: 16:31:26 time: 0.5374 data_time: 0.0698 memory: 26763 loss_ce: 0.0151 loss: 0.0151 2022/09/15 19:53:40 - mmengine - INFO - Epoch(train) [2][900/31614] lr: 3.0000e-04 eta: 16:30:32 time: 0.4873 data_time: 0.0619 memory: 26763 loss_ce: 0.0162 loss: 0.0162 2022/09/15 19:54:25 - mmengine - INFO - Epoch(train) [2][1000/31614] lr: 3.0000e-04 eta: 16:29:36 time: 0.4208 data_time: 0.0366 memory: 26763 loss_ce: 0.0153 loss: 0.0153 2022/09/15 19:55:09 - mmengine - INFO - Epoch(train) [2][1100/31614] lr: 3.0000e-04 eta: 16:28:39 time: 0.3842 data_time: 0.0111 memory: 26763 loss_ce: 0.0175 loss: 0.0175 2022/09/15 19:55:55 - mmengine - INFO - Epoch(train) [2][1200/31614] lr: 3.0000e-04 eta: 16:27:43 time: 0.4287 data_time: 0.0061 memory: 26763 loss_ce: 0.0176 loss: 0.0176 2022/09/15 19:56:40 - mmengine - INFO - Epoch(train) [2][1300/31614] lr: 3.0000e-04 eta: 16:26:49 time: 0.4750 data_time: 0.0244 memory: 26763 loss_ce: 0.0154 loss: 0.0154 2022/09/15 19:57:18 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 19:57:26 - mmengine - INFO - Epoch(train) [2][1400/31614] lr: 3.0000e-04 eta: 16:25:55 time: 0.5693 data_time: 0.0645 memory: 26763 loss_ce: 0.0162 loss: 0.0162 2022/09/15 19:58:11 - mmengine - INFO - Epoch(train) [2][1500/31614] lr: 3.0000e-04 eta: 16:25:01 time: 0.4762 data_time: 0.0370 memory: 26763 loss_ce: 0.0161 loss: 0.0161 2022/09/15 19:58:56 - mmengine - INFO - Epoch(train) [2][1600/31614] lr: 3.0000e-04 eta: 16:24:04 time: 0.4226 data_time: 0.0367 memory: 26763 loss_ce: 0.0146 loss: 0.0146 2022/09/15 19:59:42 - mmengine - INFO - Epoch(train) [2][1700/31614] lr: 3.0000e-04 eta: 16:23:11 time: 0.3858 data_time: 0.0122 memory: 26763 loss_ce: 0.0171 loss: 0.0171 2022/09/15 20:00:27 - mmengine - INFO - Epoch(train) [2][1800/31614] lr: 3.0000e-04 eta: 16:22:15 time: 0.3731 data_time: 0.0057 memory: 26763 loss_ce: 0.0176 loss: 0.0176 2022/09/15 20:01:12 - mmengine - INFO - Epoch(train) [2][1900/31614] lr: 3.0000e-04 eta: 16:21:21 time: 0.4680 data_time: 0.0227 memory: 26763 loss_ce: 0.0144 loss: 0.0144 2022/09/15 20:01:57 - mmengine - INFO - Epoch(train) [2][2000/31614] lr: 3.0000e-04 eta: 16:20:27 time: 0.5840 data_time: 0.0759 memory: 26763 loss_ce: 0.0167 loss: 0.0167 2022/09/15 20:02:43 - mmengine - INFO - Epoch(train) [2][2100/31614] lr: 3.0000e-04 eta: 16:19:32 time: 0.4859 data_time: 0.0365 memory: 26763 loss_ce: 0.0166 loss: 0.0166 2022/09/15 20:03:27 - mmengine - INFO - Epoch(train) [2][2200/31614] lr: 3.0000e-04 eta: 16:18:35 time: 0.4252 data_time: 0.0404 memory: 26763 loss_ce: 0.0186 loss: 0.0186 2022/09/15 20:04:12 - mmengine - INFO - Epoch(train) [2][2300/31614] lr: 3.0000e-04 eta: 16:17:37 time: 0.4033 data_time: 0.0325 memory: 26763 loss_ce: 0.0190 loss: 0.0190 2022/09/15 20:04:51 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 20:04:57 - mmengine - INFO - Epoch(train) [2][2400/31614] lr: 3.0000e-04 eta: 16:16:43 time: 0.3801 data_time: 0.0067 memory: 26763 loss_ce: 0.0174 loss: 0.0174 2022/09/15 20:05:44 - mmengine - INFO - Epoch(train) [2][2500/31614] lr: 3.0000e-04 eta: 16:15:53 time: 0.4510 data_time: 0.0236 memory: 26763 loss_ce: 0.0181 loss: 0.0181 2022/09/15 20:06:29 - mmengine - INFO - Epoch(train) [2][2600/31614] lr: 3.0000e-04 eta: 16:15:00 time: 0.5161 data_time: 0.0706 memory: 26763 loss_ce: 0.0187 loss: 0.0187 2022/09/15 20:07:14 - mmengine - INFO - Epoch(train) [2][2700/31614] lr: 3.0000e-04 eta: 16:14:04 time: 0.4444 data_time: 0.0378 memory: 26763 loss_ce: 0.0168 loss: 0.0168 2022/09/15 20:07:59 - mmengine - INFO - Epoch(train) [2][2800/31614] lr: 3.0000e-04 eta: 16:13:10 time: 0.4642 data_time: 0.0696 memory: 26763 loss_ce: 0.0212 loss: 0.0212 2022/09/15 20:08:45 - mmengine - INFO - Epoch(train) [2][2900/31614] lr: 3.0000e-04 eta: 16:12:19 time: 0.3848 data_time: 0.0138 memory: 26763 loss_ce: 0.0168 loss: 0.0168 2022/09/15 20:09:31 - mmengine - INFO - Epoch(train) [2][3000/31614] lr: 3.0000e-04 eta: 16:11:25 time: 0.3806 data_time: 0.0045 memory: 26763 loss_ce: 0.0166 loss: 0.0166 2022/09/15 20:10:17 - mmengine - INFO - Epoch(train) [2][3100/31614] lr: 3.0000e-04 eta: 16:10:36 time: 0.4846 data_time: 0.0713 memory: 26763 loss_ce: 0.0177 loss: 0.0177 2022/09/15 20:11:03 - mmengine - INFO - Epoch(train) [2][3200/31614] lr: 3.0000e-04 eta: 16:09:42 time: 0.5115 data_time: 0.0485 memory: 26763 loss_ce: 0.0171 loss: 0.0171 2022/09/15 20:11:48 - mmengine - INFO - Epoch(train) [2][3300/31614] lr: 3.0000e-04 eta: 16:08:49 time: 0.5030 data_time: 0.0520 memory: 26763 loss_ce: 0.0160 loss: 0.0160 2022/09/15 20:12:28 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 20:12:34 - mmengine - INFO - Epoch(train) [2][3400/31614] lr: 3.0000e-04 eta: 16:07:56 time: 0.4365 data_time: 0.0522 memory: 26763 loss_ce: 0.0159 loss: 0.0159 2022/09/15 20:13:18 - mmengine - INFO - Epoch(train) [2][3500/31614] lr: 3.0000e-04 eta: 16:06:59 time: 0.3884 data_time: 0.0133 memory: 26763 loss_ce: 0.0202 loss: 0.0202 2022/09/15 20:14:03 - mmengine - INFO - Epoch(train) [2][3600/31614] lr: 3.0000e-04 eta: 16:06:04 time: 0.3728 data_time: 0.0054 memory: 26763 loss_ce: 0.0171 loss: 0.0171 2022/09/15 20:14:50 - mmengine - INFO - Epoch(train) [2][3700/31614] lr: 3.0000e-04 eta: 16:05:15 time: 0.4798 data_time: 0.0246 memory: 26763 loss_ce: 0.0203 loss: 0.0203 2022/09/15 20:15:36 - mmengine - INFO - Epoch(train) [2][3800/31614] lr: 3.0000e-04 eta: 16:04:22 time: 0.5409 data_time: 0.0448 memory: 26763 loss_ce: 0.0203 loss: 0.0203 2022/09/15 20:16:21 - mmengine - INFO - Epoch(train) [2][3900/31614] lr: 3.0000e-04 eta: 16:03:29 time: 0.4697 data_time: 0.0595 memory: 26763 loss_ce: 0.0157 loss: 0.0157 2022/09/15 20:17:06 - mmengine - INFO - Epoch(train) [2][4000/31614] lr: 3.0000e-04 eta: 16:02:36 time: 0.4191 data_time: 0.0366 memory: 26763 loss_ce: 0.0147 loss: 0.0147 2022/09/15 20:17:52 - mmengine - INFO - Epoch(train) [2][4100/31614] lr: 3.0000e-04 eta: 16:01:42 time: 0.3850 data_time: 0.0132 memory: 26763 loss_ce: 0.0190 loss: 0.0190 2022/09/15 20:18:37 - mmengine - INFO - Epoch(train) [2][4200/31614] lr: 3.0000e-04 eta: 16:00:48 time: 0.3769 data_time: 0.0076 memory: 26763 loss_ce: 0.0170 loss: 0.0170 2022/09/15 20:19:23 - mmengine - INFO - Epoch(train) [2][4300/31614] lr: 3.0000e-04 eta: 15:59:56 time: 0.4725 data_time: 0.0223 memory: 26763 loss_ce: 0.0196 loss: 0.0196 2022/09/15 20:20:01 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 20:20:08 - mmengine - INFO - Epoch(train) [2][4400/31614] lr: 3.0000e-04 eta: 15:59:04 time: 0.5482 data_time: 0.0757 memory: 26763 loss_ce: 0.0195 loss: 0.0195 2022/09/15 20:20:54 - mmengine - INFO - Epoch(train) [2][4500/31614] lr: 3.0000e-04 eta: 15:58:11 time: 0.4711 data_time: 0.0363 memory: 26763 loss_ce: 0.0140 loss: 0.0140 2022/09/15 20:21:39 - mmengine - INFO - Epoch(train) [2][4600/31614] lr: 3.0000e-04 eta: 15:57:16 time: 0.4373 data_time: 0.0400 memory: 26763 loss_ce: 0.0159 loss: 0.0159 2022/09/15 20:22:25 - mmengine - INFO - Epoch(train) [2][4700/31614] lr: 3.0000e-04 eta: 15:56:26 time: 0.3861 data_time: 0.0134 memory: 26763 loss_ce: 0.0174 loss: 0.0174 2022/09/15 20:23:10 - mmengine - INFO - Epoch(train) [2][4800/31614] lr: 3.0000e-04 eta: 15:55:30 time: 0.3768 data_time: 0.0055 memory: 26763 loss_ce: 0.0147 loss: 0.0147 2022/09/15 20:23:56 - mmengine - INFO - Epoch(train) [2][4900/31614] lr: 3.0000e-04 eta: 15:54:41 time: 0.4884 data_time: 0.0237 memory: 26763 loss_ce: 0.0151 loss: 0.0151 2022/09/15 20:24:41 - mmengine - INFO - Epoch(train) [2][5000/31614] lr: 3.0000e-04 eta: 15:53:47 time: 0.4887 data_time: 0.0458 memory: 26763 loss_ce: 0.0152 loss: 0.0152 2022/09/15 20:25:28 - mmengine - INFO - Epoch(train) [2][5100/31614] lr: 3.0000e-04 eta: 15:52:59 time: 0.4702 data_time: 0.0400 memory: 26763 loss_ce: 0.0188 loss: 0.0188 2022/09/15 20:26:13 - mmengine - INFO - Epoch(train) [2][5200/31614] lr: 3.0000e-04 eta: 15:52:06 time: 0.4465 data_time: 0.0649 memory: 26763 loss_ce: 0.0172 loss: 0.0172 2022/09/15 20:26:58 - mmengine - INFO - Epoch(train) [2][5300/31614] lr: 3.0000e-04 eta: 15:51:11 time: 0.3941 data_time: 0.0135 memory: 26763 loss_ce: 0.0199 loss: 0.0199 2022/09/15 20:27:38 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 20:27:43 - mmengine - INFO - Epoch(train) [2][5400/31614] lr: 3.0000e-04 eta: 15:50:17 time: 0.3737 data_time: 0.0051 memory: 26763 loss_ce: 0.0127 loss: 0.0127 2022/09/15 20:28:29 - mmengine - INFO - Epoch(train) [2][5500/31614] lr: 3.0000e-04 eta: 15:49:27 time: 0.4559 data_time: 0.0239 memory: 26763 loss_ce: 0.0153 loss: 0.0153 2022/09/15 20:29:14 - mmengine - INFO - Epoch(train) [2][5600/31614] lr: 3.0000e-04 eta: 15:48:32 time: 0.4852 data_time: 0.0450 memory: 26763 loss_ce: 0.0167 loss: 0.0167 2022/09/15 20:29:59 - mmengine - INFO - Epoch(train) [2][5700/31614] lr: 3.0000e-04 eta: 15:47:39 time: 0.4877 data_time: 0.0619 memory: 26763 loss_ce: 0.0187 loss: 0.0187 2022/09/15 20:30:45 - mmengine - INFO - Epoch(train) [2][5800/31614] lr: 3.0000e-04 eta: 15:46:48 time: 0.4439 data_time: 0.0369 memory: 26763 loss_ce: 0.0189 loss: 0.0189 2022/09/15 20:31:30 - mmengine - INFO - Epoch(train) [2][5900/31614] lr: 3.0000e-04 eta: 15:45:53 time: 0.3896 data_time: 0.0131 memory: 26763 loss_ce: 0.0143 loss: 0.0143 2022/09/15 20:32:15 - mmengine - INFO - Epoch(train) [2][6000/31614] lr: 3.0000e-04 eta: 15:45:00 time: 0.3730 data_time: 0.0055 memory: 26763 loss_ce: 0.0215 loss: 0.0215 2022/09/15 20:33:02 - mmengine - INFO - Epoch(train) [2][6100/31614] lr: 3.0000e-04 eta: 15:44:11 time: 0.4883 data_time: 0.0234 memory: 26763 loss_ce: 0.0145 loss: 0.0145 2022/09/15 20:33:47 - mmengine - INFO - Epoch(train) [2][6200/31614] lr: 3.0000e-04 eta: 15:43:19 time: 0.5103 data_time: 0.0721 memory: 26763 loss_ce: 0.0162 loss: 0.0162 2022/09/15 20:34:33 - mmengine - INFO - Epoch(train) [2][6300/31614] lr: 3.0000e-04 eta: 15:42:27 time: 0.4742 data_time: 0.0351 memory: 26763 loss_ce: 0.0211 loss: 0.0211 2022/09/15 20:35:12 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 20:35:18 - mmengine - INFO - Epoch(train) [2][6400/31614] lr: 3.0000e-04 eta: 15:41:35 time: 0.4455 data_time: 0.0365 memory: 26763 loss_ce: 0.0161 loss: 0.0161 2022/09/15 20:36:03 - mmengine - INFO - Epoch(train) [2][6500/31614] lr: 3.0000e-04 eta: 15:40:40 time: 0.4139 data_time: 0.0410 memory: 26763 loss_ce: 0.0166 loss: 0.0166 2022/09/15 20:36:47 - mmengine - INFO - Epoch(train) [2][6600/31614] lr: 3.0000e-04 eta: 15:39:46 time: 0.3973 data_time: 0.0048 memory: 26763 loss_ce: 0.0153 loss: 0.0153 2022/09/15 20:37:33 - mmengine - INFO - Epoch(train) [2][6700/31614] lr: 3.0000e-04 eta: 15:38:55 time: 0.4530 data_time: 0.0229 memory: 26763 loss_ce: 0.0157 loss: 0.0157 2022/09/15 20:38:19 - mmengine - INFO - Epoch(train) [2][6800/31614] lr: 3.0000e-04 eta: 15:38:05 time: 0.5278 data_time: 0.0737 memory: 26763 loss_ce: 0.0160 loss: 0.0160 2022/09/15 20:39:06 - mmengine - INFO - Epoch(train) [2][6900/31614] lr: 3.0000e-04 eta: 15:37:17 time: 0.4911 data_time: 0.0357 memory: 26763 loss_ce: 0.0183 loss: 0.0183 2022/09/15 20:39:51 - mmengine - INFO - Epoch(train) [2][7000/31614] lr: 3.0000e-04 eta: 15:36:24 time: 0.4571 data_time: 0.0691 memory: 26763 loss_ce: 0.0170 loss: 0.0170 2022/09/15 20:40:36 - mmengine - INFO - Epoch(train) [2][7100/31614] lr: 3.0000e-04 eta: 15:35:29 time: 0.3839 data_time: 0.0142 memory: 26763 loss_ce: 0.0148 loss: 0.0148 2022/09/15 20:41:21 - mmengine - INFO - Epoch(train) [2][7200/31614] lr: 3.0000e-04 eta: 15:34:38 time: 0.3764 data_time: 0.0054 memory: 26763 loss_ce: 0.0154 loss: 0.0154 2022/09/15 20:42:08 - mmengine - INFO - Epoch(train) [2][7300/31614] lr: 3.0000e-04 eta: 15:33:50 time: 0.5051 data_time: 0.0446 memory: 26763 loss_ce: 0.0195 loss: 0.0195 2022/09/15 20:42:47 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 20:42:54 - mmengine - INFO - Epoch(train) [2][7400/31614] lr: 3.0000e-04 eta: 15:32:59 time: 0.4830 data_time: 0.0445 memory: 26763 loss_ce: 0.0160 loss: 0.0160 2022/09/15 20:43:39 - mmengine - INFO - Epoch(train) [2][7500/31614] lr: 3.0000e-04 eta: 15:32:07 time: 0.4800 data_time: 0.0711 memory: 26763 loss_ce: 0.0181 loss: 0.0181 2022/09/15 20:44:24 - mmengine - INFO - Epoch(train) [2][7600/31614] lr: 3.0000e-04 eta: 15:31:14 time: 0.4467 data_time: 0.0635 memory: 26763 loss_ce: 0.0140 loss: 0.0140 2022/09/15 20:45:09 - mmengine - INFO - Epoch(train) [2][7700/31614] lr: 3.0000e-04 eta: 15:30:21 time: 0.3845 data_time: 0.0125 memory: 26763 loss_ce: 0.0159 loss: 0.0159 2022/09/15 20:45:54 - mmengine - INFO - Epoch(train) [2][7800/31614] lr: 3.0000e-04 eta: 15:29:27 time: 0.3748 data_time: 0.0046 memory: 26763 loss_ce: 0.0158 loss: 0.0158 2022/09/15 20:46:41 - mmengine - INFO - Epoch(train) [2][7900/31614] lr: 3.0000e-04 eta: 15:28:39 time: 0.4845 data_time: 0.0210 memory: 26763 loss_ce: 0.0195 loss: 0.0195 2022/09/15 20:47:26 - mmengine - INFO - Epoch(train) [2][8000/31614] lr: 3.0000e-04 eta: 15:27:47 time: 0.4785 data_time: 0.0475 memory: 26763 loss_ce: 0.0183 loss: 0.0183 2022/09/15 20:48:11 - mmengine - INFO - Epoch(train) [2][8100/31614] lr: 3.0000e-04 eta: 15:26:54 time: 0.4738 data_time: 0.0625 memory: 26763 loss_ce: 0.0167 loss: 0.0167 2022/09/15 20:48:56 - mmengine - INFO - Epoch(train) [2][8200/31614] lr: 3.0000e-04 eta: 15:26:01 time: 0.4488 data_time: 0.0362 memory: 26763 loss_ce: 0.0153 loss: 0.0153 2022/09/15 20:49:41 - mmengine - INFO - Epoch(train) [2][8300/31614] lr: 3.0000e-04 eta: 15:25:08 time: 0.3844 data_time: 0.0139 memory: 26763 loss_ce: 0.0169 loss: 0.0169 2022/09/15 20:50:21 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 20:50:26 - mmengine - INFO - Epoch(train) [2][8400/31614] lr: 3.0000e-04 eta: 15:24:16 time: 0.3711 data_time: 0.0046 memory: 26763 loss_ce: 0.0170 loss: 0.0170 2022/09/15 20:51:12 - mmengine - INFO - Epoch(train) [2][8500/31614] lr: 3.0000e-04 eta: 15:23:26 time: 0.4939 data_time: 0.0229 memory: 26763 loss_ce: 0.0149 loss: 0.0149 2022/09/15 20:51:58 - mmengine - INFO - Epoch(train) [2][8600/31614] lr: 3.0000e-04 eta: 15:22:34 time: 0.5258 data_time: 0.0641 memory: 26763 loss_ce: 0.0123 loss: 0.0123 2022/09/15 20:52:43 - mmengine - INFO - Epoch(train) [2][8700/31614] lr: 3.0000e-04 eta: 15:21:42 time: 0.4727 data_time: 0.0362 memory: 26763 loss_ce: 0.0156 loss: 0.0156 2022/09/15 20:53:28 - mmengine - INFO - Epoch(train) [2][8800/31614] lr: 3.0000e-04 eta: 15:20:50 time: 0.4222 data_time: 0.0385 memory: 26763 loss_ce: 0.0143 loss: 0.0143 2022/09/15 20:54:13 - mmengine - INFO - Epoch(train) [2][8900/31614] lr: 3.0000e-04 eta: 15:19:58 time: 0.3887 data_time: 0.0162 memory: 26763 loss_ce: 0.0177 loss: 0.0177 2022/09/15 20:54:58 - mmengine - INFO - Epoch(train) [2][9000/31614] lr: 3.0000e-04 eta: 15:19:04 time: 0.3733 data_time: 0.0049 memory: 26763 loss_ce: 0.0144 loss: 0.0144 2022/09/15 20:55:45 - mmengine - INFO - Epoch(train) [2][9100/31614] lr: 3.0000e-04 eta: 15:18:18 time: 0.5036 data_time: 0.0264 memory: 26763 loss_ce: 0.0131 loss: 0.0131 2022/09/15 20:56:30 - mmengine - INFO - Epoch(train) [2][9200/31614] lr: 3.0000e-04 eta: 15:17:25 time: 0.4903 data_time: 0.0459 memory: 26763 loss_ce: 0.0171 loss: 0.0171 2022/09/15 20:57:15 - mmengine - INFO - Epoch(train) [2][9300/31614] lr: 3.0000e-04 eta: 15:16:34 time: 0.4655 data_time: 0.0383 memory: 26763 loss_ce: 0.0133 loss: 0.0133 2022/09/15 20:57:54 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 20:58:01 - mmengine - INFO - Epoch(train) [2][9400/31614] lr: 3.0000e-04 eta: 15:15:43 time: 0.4560 data_time: 0.0676 memory: 26763 loss_ce: 0.0149 loss: 0.0149 2022/09/15 20:58:46 - mmengine - INFO - Epoch(train) [2][9500/31614] lr: 3.0000e-04 eta: 15:14:51 time: 0.3993 data_time: 0.0158 memory: 26763 loss_ce: 0.0160 loss: 0.0160 2022/09/15 20:59:32 - mmengine - INFO - Epoch(train) [2][9600/31614] lr: 3.0000e-04 eta: 15:14:02 time: 0.3921 data_time: 0.0053 memory: 26763 loss_ce: 0.0163 loss: 0.0163 2022/09/15 21:00:18 - mmengine - INFO - Epoch(train) [2][9700/31614] lr: 3.0000e-04 eta: 15:13:12 time: 0.5025 data_time: 0.0199 memory: 26763 loss_ce: 0.0155 loss: 0.0155 2022/09/15 21:01:04 - mmengine - INFO - Epoch(train) [2][9800/31614] lr: 3.0000e-04 eta: 15:12:22 time: 0.4941 data_time: 0.0457 memory: 26763 loss_ce: 0.0164 loss: 0.0164 2022/09/15 21:01:49 - mmengine - INFO - Epoch(train) [2][9900/31614] lr: 3.0000e-04 eta: 15:11:30 time: 0.4405 data_time: 0.0392 memory: 26763 loss_ce: 0.0139 loss: 0.0139 2022/09/15 21:02:34 - mmengine - INFO - Epoch(train) [2][10000/31614] lr: 3.0000e-04 eta: 15:10:38 time: 0.4229 data_time: 0.0366 memory: 26763 loss_ce: 0.0175 loss: 0.0175 2022/09/15 21:03:19 - mmengine - INFO - Epoch(train) [2][10100/31614] lr: 3.0000e-04 eta: 15:09:45 time: 0.3833 data_time: 0.0127 memory: 26763 loss_ce: 0.0132 loss: 0.0132 2022/09/15 21:04:04 - mmengine - INFO - Epoch(train) [2][10200/31614] lr: 3.0000e-04 eta: 15:08:53 time: 0.3733 data_time: 0.0057 memory: 26763 loss_ce: 0.0143 loss: 0.0143 2022/09/15 21:04:49 - mmengine - INFO - Epoch(train) [2][10300/31614] lr: 3.0000e-04 eta: 15:08:02 time: 0.4646 data_time: 0.0202 memory: 26763 loss_ce: 0.0152 loss: 0.0152 2022/09/15 21:05:29 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 21:05:36 - mmengine - INFO - Epoch(train) [2][10400/31614] lr: 3.0000e-04 eta: 15:07:14 time: 0.5726 data_time: 0.0717 memory: 26763 loss_ce: 0.0118 loss: 0.0118 2022/09/15 21:06:21 - mmengine - INFO - Epoch(train) [2][10500/31614] lr: 3.0000e-04 eta: 15:06:22 time: 0.4680 data_time: 0.0377 memory: 26763 loss_ce: 0.0155 loss: 0.0155 2022/09/15 21:07:07 - mmengine - INFO - Epoch(train) [2][10600/31614] lr: 3.0000e-04 eta: 15:05:32 time: 0.4690 data_time: 0.0383 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/15 21:07:52 - mmengine - INFO - Epoch(train) [2][10700/31614] lr: 3.0000e-04 eta: 15:04:40 time: 0.4228 data_time: 0.0410 memory: 26763 loss_ce: 0.0181 loss: 0.0181 2022/09/15 21:08:37 - mmengine - INFO - Epoch(train) [2][10800/31614] lr: 3.0000e-04 eta: 15:03:47 time: 0.3771 data_time: 0.0045 memory: 26763 loss_ce: 0.0126 loss: 0.0126 2022/09/15 21:09:23 - mmengine - INFO - Epoch(train) [2][10900/31614] lr: 3.0000e-04 eta: 15:02:57 time: 0.4848 data_time: 0.0202 memory: 26763 loss_ce: 0.0154 loss: 0.0154 2022/09/15 21:10:08 - mmengine - INFO - Epoch(train) [2][11000/31614] lr: 3.0000e-04 eta: 15:02:08 time: 0.5652 data_time: 0.0686 memory: 26763 loss_ce: 0.0172 loss: 0.0172 2022/09/15 21:10:53 - mmengine - INFO - Epoch(train) [2][11100/31614] lr: 3.0000e-04 eta: 15:01:15 time: 0.4727 data_time: 0.0666 memory: 26763 loss_ce: 0.0141 loss: 0.0141 2022/09/15 21:11:38 - mmengine - INFO - Epoch(train) [2][11200/31614] lr: 3.0000e-04 eta: 15:00:23 time: 0.4189 data_time: 0.0393 memory: 26763 loss_ce: 0.0163 loss: 0.0163 2022/09/15 21:12:24 - mmengine - INFO - Epoch(train) [2][11300/31614] lr: 3.0000e-04 eta: 14:59:34 time: 0.3864 data_time: 0.0157 memory: 26763 loss_ce: 0.0171 loss: 0.0171 2022/09/15 21:13:03 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 21:13:09 - mmengine - INFO - Epoch(train) [2][11400/31614] lr: 3.0000e-04 eta: 14:58:41 time: 0.3746 data_time: 0.0050 memory: 26763 loss_ce: 0.0174 loss: 0.0174 2022/09/15 21:13:55 - mmengine - INFO - Epoch(train) [2][11500/31614] lr: 3.0000e-04 eta: 14:57:51 time: 0.4770 data_time: 0.0215 memory: 26763 loss_ce: 0.0170 loss: 0.0170 2022/09/15 21:14:40 - mmengine - INFO - Epoch(train) [2][11600/31614] lr: 3.0000e-04 eta: 14:57:01 time: 0.5421 data_time: 0.0417 memory: 26763 loss_ce: 0.0140 loss: 0.0140 2022/09/15 21:15:26 - mmengine - INFO - Epoch(train) [2][11700/31614] lr: 3.0000e-04 eta: 14:56:10 time: 0.4993 data_time: 0.0709 memory: 26763 loss_ce: 0.0199 loss: 0.0199 2022/09/15 21:16:11 - mmengine - INFO - Epoch(train) [2][11800/31614] lr: 3.0000e-04 eta: 14:55:20 time: 0.4836 data_time: 0.0842 memory: 26763 loss_ce: 0.0179 loss: 0.0179 2022/09/15 21:16:57 - mmengine - INFO - Epoch(train) [2][11900/31614] lr: 3.0000e-04 eta: 14:54:29 time: 0.3900 data_time: 0.0156 memory: 26763 loss_ce: 0.0131 loss: 0.0131 2022/09/15 21:17:42 - mmengine - INFO - Epoch(train) [2][12000/31614] lr: 3.0000e-04 eta: 14:53:38 time: 0.4054 data_time: 0.0059 memory: 26763 loss_ce: 0.0157 loss: 0.0157 2022/09/15 21:18:28 - mmengine - INFO - Epoch(train) [2][12100/31614] lr: 3.0000e-04 eta: 14:52:48 time: 0.4528 data_time: 0.0204 memory: 26763 loss_ce: 0.0146 loss: 0.0146 2022/09/15 21:19:13 - mmengine - INFO - Epoch(train) [2][12200/31614] lr: 3.0000e-04 eta: 14:51:56 time: 0.4994 data_time: 0.0475 memory: 26763 loss_ce: 0.0162 loss: 0.0162 2022/09/15 21:19:58 - mmengine - INFO - Epoch(train) [2][12300/31614] lr: 3.0000e-04 eta: 14:51:05 time: 0.5092 data_time: 0.0690 memory: 26763 loss_ce: 0.0139 loss: 0.0139 2022/09/15 21:20:36 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 21:20:42 - mmengine - INFO - Epoch(train) [2][12400/31614] lr: 3.0000e-04 eta: 14:50:12 time: 0.4452 data_time: 0.0604 memory: 26763 loss_ce: 0.0118 loss: 0.0118 2022/09/15 21:21:28 - mmengine - INFO - Epoch(train) [2][12500/31614] lr: 3.0000e-04 eta: 14:49:21 time: 0.3868 data_time: 0.0133 memory: 26763 loss_ce: 0.0167 loss: 0.0167 2022/09/15 21:22:13 - mmengine - INFO - Epoch(train) [2][12600/31614] lr: 3.0000e-04 eta: 14:48:30 time: 0.3725 data_time: 0.0053 memory: 26763 loss_ce: 0.0132 loss: 0.0132 2022/09/15 21:22:59 - mmengine - INFO - Epoch(train) [2][12700/31614] lr: 3.0000e-04 eta: 14:47:42 time: 0.5581 data_time: 0.0216 memory: 26763 loss_ce: 0.0109 loss: 0.0109 2022/09/15 21:23:44 - mmengine - INFO - Epoch(train) [2][12800/31614] lr: 3.0000e-04 eta: 14:46:51 time: 0.5047 data_time: 0.0441 memory: 26763 loss_ce: 0.0159 loss: 0.0159 2022/09/15 21:24:29 - mmengine - INFO - Epoch(train) [2][12900/31614] lr: 3.0000e-04 eta: 14:45:59 time: 0.4693 data_time: 0.0399 memory: 26763 loss_ce: 0.0137 loss: 0.0137 2022/09/15 21:25:14 - mmengine - INFO - Epoch(train) [2][13000/31614] lr: 3.0000e-04 eta: 14:45:08 time: 0.4428 data_time: 0.0557 memory: 26763 loss_ce: 0.0174 loss: 0.0174 2022/09/15 21:25:59 - mmengine - INFO - Epoch(train) [2][13100/31614] lr: 3.0000e-04 eta: 14:44:15 time: 0.4201 data_time: 0.0137 memory: 26763 loss_ce: 0.0124 loss: 0.0124 2022/09/15 21:26:43 - mmengine - INFO - Epoch(train) [2][13200/31614] lr: 3.0000e-04 eta: 14:43:23 time: 0.3767 data_time: 0.0051 memory: 26763 loss_ce: 0.0162 loss: 0.0162 2022/09/15 21:27:29 - mmengine - INFO - Epoch(train) [2][13300/31614] lr: 3.0000e-04 eta: 14:42:34 time: 0.4735 data_time: 0.0224 memory: 26763 loss_ce: 0.0162 loss: 0.0162 2022/09/15 21:28:08 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 21:28:15 - mmengine - INFO - Epoch(train) [2][13400/31614] lr: 3.0000e-04 eta: 14:41:44 time: 0.4790 data_time: 0.0450 memory: 26763 loss_ce: 0.0154 loss: 0.0154 2022/09/15 21:29:02 - mmengine - INFO - Epoch(train) [2][13500/31614] lr: 3.0000e-04 eta: 14:40:57 time: 0.4771 data_time: 0.0769 memory: 26763 loss_ce: 0.0166 loss: 0.0166 2022/09/15 21:29:48 - mmengine - INFO - Epoch(train) [2][13600/31614] lr: 3.0000e-04 eta: 14:40:08 time: 0.4369 data_time: 0.0357 memory: 26763 loss_ce: 0.0142 loss: 0.0142 2022/09/15 21:30:32 - mmengine - INFO - Epoch(train) [2][13700/31614] lr: 3.0000e-04 eta: 14:39:16 time: 0.3838 data_time: 0.0148 memory: 26763 loss_ce: 0.0133 loss: 0.0133 2022/09/15 21:31:18 - mmengine - INFO - Epoch(train) [2][13800/31614] lr: 3.0000e-04 eta: 14:38:26 time: 0.3780 data_time: 0.0048 memory: 26763 loss_ce: 0.0183 loss: 0.0183 2022/09/15 21:32:04 - mmengine - INFO - Epoch(train) [2][13900/31614] lr: 3.0000e-04 eta: 14:37:38 time: 0.4529 data_time: 0.0197 memory: 26763 loss_ce: 0.0143 loss: 0.0143 2022/09/15 21:32:50 - mmengine - INFO - Epoch(train) [2][14000/31614] lr: 3.0000e-04 eta: 14:36:50 time: 0.5297 data_time: 0.0493 memory: 26763 loss_ce: 0.0096 loss: 0.0096 2022/09/15 21:33:36 - mmengine - INFO - Epoch(train) [2][14100/31614] lr: 3.0000e-04 eta: 14:36:01 time: 0.4709 data_time: 0.0681 memory: 26763 loss_ce: 0.0157 loss: 0.0157 2022/09/15 21:34:22 - mmengine - INFO - Epoch(train) [2][14200/31614] lr: 3.0000e-04 eta: 14:35:12 time: 0.4529 data_time: 0.0698 memory: 26763 loss_ce: 0.0143 loss: 0.0143 2022/09/15 21:35:07 - mmengine - INFO - Epoch(train) [2][14300/31614] lr: 3.0000e-04 eta: 14:34:20 time: 0.3883 data_time: 0.0130 memory: 26763 loss_ce: 0.0154 loss: 0.0154 2022/09/15 21:35:46 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 21:35:52 - mmengine - INFO - Epoch(train) [2][14400/31614] lr: 3.0000e-04 eta: 14:33:29 time: 0.3790 data_time: 0.0055 memory: 26763 loss_ce: 0.0149 loss: 0.0149 2022/09/15 21:36:38 - mmengine - INFO - Epoch(train) [2][14500/31614] lr: 3.0000e-04 eta: 14:32:40 time: 0.5331 data_time: 0.0202 memory: 26763 loss_ce: 0.0200 loss: 0.0200 2022/09/15 21:37:23 - mmengine - INFO - Epoch(train) [2][14600/31614] lr: 3.0000e-04 eta: 14:31:50 time: 0.5130 data_time: 0.0466 memory: 26763 loss_ce: 0.0148 loss: 0.0148 2022/09/15 21:38:09 - mmengine - INFO - Epoch(train) [2][14700/31614] lr: 3.0000e-04 eta: 14:31:00 time: 0.4655 data_time: 0.0671 memory: 26763 loss_ce: 0.0127 loss: 0.0127 2022/09/15 21:38:55 - mmengine - INFO - Epoch(train) [2][14800/31614] lr: 3.0000e-04 eta: 14:30:11 time: 0.4443 data_time: 0.0394 memory: 26763 loss_ce: 0.0122 loss: 0.0122 2022/09/15 21:39:40 - mmengine - INFO - Epoch(train) [2][14900/31614] lr: 3.0000e-04 eta: 14:29:20 time: 0.3823 data_time: 0.0139 memory: 26763 loss_ce: 0.0186 loss: 0.0186 2022/09/15 21:40:25 - mmengine - INFO - Epoch(train) [2][15000/31614] lr: 3.0000e-04 eta: 14:28:30 time: 0.3965 data_time: 0.0049 memory: 26763 loss_ce: 0.0136 loss: 0.0136 2022/09/15 21:41:12 - mmengine - INFO - Epoch(train) [2][15100/31614] lr: 3.0000e-04 eta: 14:27:43 time: 0.5105 data_time: 0.0187 memory: 26763 loss_ce: 0.0152 loss: 0.0152 2022/09/15 21:41:57 - mmengine - INFO - Epoch(train) [2][15200/31614] lr: 3.0000e-04 eta: 14:26:53 time: 0.4837 data_time: 0.0468 memory: 26763 loss_ce: 0.0119 loss: 0.0119 2022/09/15 21:42:43 - mmengine - INFO - Epoch(train) [2][15300/31614] lr: 3.0000e-04 eta: 14:26:04 time: 0.4798 data_time: 0.0685 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/15 21:43:22 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 21:43:28 - mmengine - INFO - Epoch(train) [2][15400/31614] lr: 3.0000e-04 eta: 14:25:14 time: 0.4430 data_time: 0.0423 memory: 26763 loss_ce: 0.0149 loss: 0.0149 2022/09/15 21:44:13 - mmengine - INFO - Epoch(train) [2][15500/31614] lr: 3.0000e-04 eta: 14:24:23 time: 0.3832 data_time: 0.0138 memory: 26763 loss_ce: 0.0144 loss: 0.0144 2022/09/15 21:44:59 - mmengine - INFO - Epoch(train) [2][15600/31614] lr: 3.0000e-04 eta: 14:23:34 time: 0.3799 data_time: 0.0045 memory: 26763 loss_ce: 0.0123 loss: 0.0123 2022/09/15 21:45:45 - mmengine - INFO - Epoch(train) [2][15700/31614] lr: 3.0000e-04 eta: 14:22:47 time: 0.4766 data_time: 0.0238 memory: 26763 loss_ce: 0.0156 loss: 0.0156 2022/09/15 21:46:32 - mmengine - INFO - Epoch(train) [2][15800/31614] lr: 3.0000e-04 eta: 14:21:59 time: 0.5543 data_time: 0.0468 memory: 26763 loss_ce: 0.0138 loss: 0.0138 2022/09/15 21:47:18 - mmengine - INFO - Epoch(train) [2][15900/31614] lr: 3.0000e-04 eta: 14:21:10 time: 0.4584 data_time: 0.0638 memory: 26763 loss_ce: 0.0138 loss: 0.0138 2022/09/15 21:48:03 - mmengine - INFO - Epoch(train) [2][16000/31614] lr: 3.0000e-04 eta: 14:20:20 time: 0.4170 data_time: 0.0371 memory: 26763 loss_ce: 0.0182 loss: 0.0182 2022/09/15 21:48:48 - mmengine - INFO - Epoch(train) [2][16100/31614] lr: 3.0000e-04 eta: 14:19:29 time: 0.3887 data_time: 0.0188 memory: 26763 loss_ce: 0.0170 loss: 0.0170 2022/09/15 21:49:34 - mmengine - INFO - Epoch(train) [2][16200/31614] lr: 3.0000e-04 eta: 14:18:41 time: 0.3771 data_time: 0.0050 memory: 26763 loss_ce: 0.0121 loss: 0.0121 2022/09/15 21:50:22 - mmengine - INFO - Epoch(train) [2][16300/31614] lr: 3.0000e-04 eta: 14:17:56 time: 0.4748 data_time: 0.0198 memory: 26763 loss_ce: 0.0134 loss: 0.0134 2022/09/15 21:51:00 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 21:51:07 - mmengine - INFO - Epoch(train) [2][16400/31614] lr: 3.0000e-04 eta: 14:17:07 time: 0.5122 data_time: 0.0448 memory: 26763 loss_ce: 0.0140 loss: 0.0140 2022/09/15 21:51:53 - mmengine - INFO - Epoch(train) [2][16500/31614] lr: 3.0000e-04 eta: 14:16:18 time: 0.4935 data_time: 0.0645 memory: 26763 loss_ce: 0.0150 loss: 0.0150 2022/09/15 21:52:39 - mmengine - INFO - Epoch(train) [2][16600/31614] lr: 3.0000e-04 eta: 14:15:28 time: 0.4562 data_time: 0.0663 memory: 26763 loss_ce: 0.0181 loss: 0.0181 2022/09/15 21:53:24 - mmengine - INFO - Epoch(train) [2][16700/31614] lr: 3.0000e-04 eta: 14:14:39 time: 0.3887 data_time: 0.0133 memory: 26763 loss_ce: 0.0159 loss: 0.0159 2022/09/15 21:54:09 - mmengine - INFO - Epoch(train) [2][16800/31614] lr: 3.0000e-04 eta: 14:13:48 time: 0.3865 data_time: 0.0046 memory: 26763 loss_ce: 0.0152 loss: 0.0152 2022/09/15 21:54:55 - mmengine - INFO - Epoch(train) [2][16900/31614] lr: 3.0000e-04 eta: 14:13:00 time: 0.4902 data_time: 0.0204 memory: 26763 loss_ce: 0.0157 loss: 0.0157 2022/09/15 21:55:42 - mmengine - INFO - Epoch(train) [2][17000/31614] lr: 3.0000e-04 eta: 14:12:12 time: 0.4978 data_time: 0.0474 memory: 26763 loss_ce: 0.0154 loss: 0.0154 2022/09/15 21:56:27 - mmengine - INFO - Epoch(train) [2][17100/31614] lr: 3.0000e-04 eta: 14:11:23 time: 0.4756 data_time: 0.0566 memory: 26763 loss_ce: 0.0168 loss: 0.0168 2022/09/15 21:57:13 - mmengine - INFO - Epoch(train) [2][17200/31614] lr: 3.0000e-04 eta: 14:10:34 time: 0.4243 data_time: 0.0377 memory: 26763 loss_ce: 0.0177 loss: 0.0177 2022/09/15 21:57:58 - mmengine - INFO - Epoch(train) [2][17300/31614] lr: 3.0000e-04 eta: 14:09:44 time: 0.3949 data_time: 0.0138 memory: 26763 loss_ce: 0.0147 loss: 0.0147 2022/09/15 21:58:38 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 21:58:43 - mmengine - INFO - Epoch(train) [2][17400/31614] lr: 3.0000e-04 eta: 14:08:54 time: 0.4157 data_time: 0.0048 memory: 26763 loss_ce: 0.0182 loss: 0.0182 2022/09/15 21:59:30 - mmengine - INFO - Epoch(train) [2][17500/31614] lr: 3.0000e-04 eta: 14:08:07 time: 0.4953 data_time: 0.0211 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/15 22:00:15 - mmengine - INFO - Epoch(train) [2][17600/31614] lr: 3.0000e-04 eta: 14:07:17 time: 0.4876 data_time: 0.0481 memory: 26763 loss_ce: 0.0152 loss: 0.0152 2022/09/15 22:01:01 - mmengine - INFO - Epoch(train) [2][17700/31614] lr: 3.0000e-04 eta: 14:06:29 time: 0.5204 data_time: 0.0904 memory: 26763 loss_ce: 0.0152 loss: 0.0152 2022/09/15 22:01:47 - mmengine - INFO - Epoch(train) [2][17800/31614] lr: 3.0000e-04 eta: 14:05:40 time: 0.4283 data_time: 0.0385 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/15 22:02:33 - mmengine - INFO - Epoch(train) [2][17900/31614] lr: 3.0000e-04 eta: 14:04:51 time: 0.4044 data_time: 0.0172 memory: 26763 loss_ce: 0.0124 loss: 0.0124 2022/09/15 22:03:19 - mmengine - INFO - Epoch(train) [2][18000/31614] lr: 3.0000e-04 eta: 14:04:03 time: 0.3932 data_time: 0.0064 memory: 26763 loss_ce: 0.0135 loss: 0.0135 2022/09/15 22:04:05 - mmengine - INFO - Epoch(train) [2][18100/31614] lr: 3.0000e-04 eta: 14:03:15 time: 0.4441 data_time: 0.0199 memory: 26763 loss_ce: 0.0149 loss: 0.0149 2022/09/15 22:04:51 - mmengine - INFO - Epoch(train) [2][18200/31614] lr: 3.0000e-04 eta: 14:02:28 time: 0.5220 data_time: 0.0448 memory: 26763 loss_ce: 0.0127 loss: 0.0127 2022/09/15 22:05:37 - mmengine - INFO - Epoch(train) [2][18300/31614] lr: 3.0000e-04 eta: 14:01:38 time: 0.4699 data_time: 0.0667 memory: 26763 loss_ce: 0.0146 loss: 0.0146 2022/09/15 22:06:16 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 22:06:22 - mmengine - INFO - Epoch(train) [2][18400/31614] lr: 3.0000e-04 eta: 14:00:49 time: 0.4265 data_time: 0.0380 memory: 26763 loss_ce: 0.0178 loss: 0.0178 2022/09/15 22:07:08 - mmengine - INFO - Epoch(train) [2][18500/31614] lr: 3.0000e-04 eta: 14:00:01 time: 0.3987 data_time: 0.0140 memory: 26763 loss_ce: 0.0133 loss: 0.0133 2022/09/15 22:07:54 - mmengine - INFO - Epoch(train) [2][18600/31614] lr: 3.0000e-04 eta: 13:59:13 time: 0.3862 data_time: 0.0047 memory: 26763 loss_ce: 0.0132 loss: 0.0132 2022/09/15 22:08:41 - mmengine - INFO - Epoch(train) [2][18700/31614] lr: 3.0000e-04 eta: 13:58:27 time: 0.4684 data_time: 0.0200 memory: 26763 loss_ce: 0.0122 loss: 0.0122 2022/09/15 22:09:27 - mmengine - INFO - Epoch(train) [2][18800/31614] lr: 3.0000e-04 eta: 13:57:38 time: 0.5212 data_time: 0.0462 memory: 26763 loss_ce: 0.0139 loss: 0.0139 2022/09/15 22:10:13 - mmengine - INFO - Epoch(train) [2][18900/31614] lr: 3.0000e-04 eta: 13:56:49 time: 0.4881 data_time: 0.0731 memory: 26763 loss_ce: 0.0137 loss: 0.0137 2022/09/15 22:10:59 - mmengine - INFO - Epoch(train) [2][19000/31614] lr: 3.0000e-04 eta: 13:56:00 time: 0.4724 data_time: 0.0682 memory: 26763 loss_ce: 0.0142 loss: 0.0142 2022/09/15 22:11:44 - mmengine - INFO - Epoch(train) [2][19100/31614] lr: 3.0000e-04 eta: 13:55:12 time: 0.3951 data_time: 0.0155 memory: 26763 loss_ce: 0.0146 loss: 0.0146 2022/09/15 22:12:30 - mmengine - INFO - Epoch(train) [2][19200/31614] lr: 3.0000e-04 eta: 13:54:22 time: 0.3895 data_time: 0.0053 memory: 26763 loss_ce: 0.0170 loss: 0.0170 2022/09/15 22:13:16 - mmengine - INFO - Epoch(train) [2][19300/31614] lr: 3.0000e-04 eta: 13:53:35 time: 0.4457 data_time: 0.0196 memory: 26763 loss_ce: 0.0128 loss: 0.0128 2022/09/15 22:13:56 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 22:14:03 - mmengine - INFO - Epoch(train) [2][19400/31614] lr: 3.0000e-04 eta: 13:52:48 time: 0.5108 data_time: 0.0489 memory: 26763 loss_ce: 0.0142 loss: 0.0142 2022/09/15 22:14:49 - mmengine - INFO - Epoch(train) [2][19500/31614] lr: 3.0000e-04 eta: 13:52:01 time: 0.4735 data_time: 0.0700 memory: 26763 loss_ce: 0.0129 loss: 0.0129 2022/09/15 22:15:34 - mmengine - INFO - Epoch(train) [2][19600/31614] lr: 3.0000e-04 eta: 13:51:10 time: 0.4230 data_time: 0.0379 memory: 26763 loss_ce: 0.0129 loss: 0.0129 2022/09/15 22:16:20 - mmengine - INFO - Epoch(train) [2][19700/31614] lr: 3.0000e-04 eta: 13:50:21 time: 0.3920 data_time: 0.0138 memory: 26763 loss_ce: 0.0140 loss: 0.0140 2022/09/15 22:17:05 - mmengine - INFO - Epoch(train) [2][19800/31614] lr: 3.0000e-04 eta: 13:49:33 time: 0.4405 data_time: 0.0054 memory: 26763 loss_ce: 0.0160 loss: 0.0160 2022/09/15 22:17:51 - mmengine - INFO - Epoch(train) [2][19900/31614] lr: 3.0000e-04 eta: 13:48:45 time: 0.4550 data_time: 0.0208 memory: 26763 loss_ce: 0.0158 loss: 0.0158 2022/09/15 22:18:37 - mmengine - INFO - Epoch(train) [2][20000/31614] lr: 3.0000e-04 eta: 13:47:56 time: 0.5343 data_time: 0.0437 memory: 26763 loss_ce: 0.0145 loss: 0.0145 2022/09/15 22:19:23 - mmengine - INFO - Epoch(train) [2][20100/31614] lr: 3.0000e-04 eta: 13:47:09 time: 0.4951 data_time: 0.0788 memory: 26763 loss_ce: 0.0110 loss: 0.0110 2022/09/15 22:20:09 - mmengine - INFO - Epoch(train) [2][20200/31614] lr: 3.0000e-04 eta: 13:46:20 time: 0.4541 data_time: 0.0350 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/15 22:20:55 - mmengine - INFO - Epoch(train) [2][20300/31614] lr: 3.0000e-04 eta: 13:45:32 time: 0.4036 data_time: 0.0134 memory: 26763 loss_ce: 0.0154 loss: 0.0154 2022/09/15 22:21:35 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 22:21:40 - mmengine - INFO - Epoch(train) [2][20400/31614] lr: 3.0000e-04 eta: 13:44:42 time: 0.3987 data_time: 0.0050 memory: 26763 loss_ce: 0.0131 loss: 0.0131 2022/09/15 22:22:27 - mmengine - INFO - Epoch(train) [2][20500/31614] lr: 3.0000e-04 eta: 13:43:55 time: 0.5011 data_time: 0.0201 memory: 26763 loss_ce: 0.0144 loss: 0.0144 2022/09/15 22:23:13 - mmengine - INFO - Epoch(train) [2][20600/31614] lr: 3.0000e-04 eta: 13:43:07 time: 0.5659 data_time: 0.0485 memory: 26763 loss_ce: 0.0143 loss: 0.0143 2022/09/15 22:23:59 - mmengine - INFO - Epoch(train) [2][20700/31614] lr: 3.0000e-04 eta: 13:42:20 time: 0.5006 data_time: 0.0790 memory: 26763 loss_ce: 0.0138 loss: 0.0138 2022/09/15 22:24:45 - mmengine - INFO - Epoch(train) [2][20800/31614] lr: 3.0000e-04 eta: 13:41:32 time: 0.4576 data_time: 0.0478 memory: 26763 loss_ce: 0.0160 loss: 0.0160 2022/09/15 22:25:31 - mmengine - INFO - Epoch(train) [2][20900/31614] lr: 3.0000e-04 eta: 13:40:43 time: 0.3885 data_time: 0.0132 memory: 26763 loss_ce: 0.0109 loss: 0.0109 2022/09/15 22:26:16 - mmengine - INFO - Epoch(train) [2][21000/31614] lr: 3.0000e-04 eta: 13:39:55 time: 0.3869 data_time: 0.0045 memory: 26763 loss_ce: 0.0156 loss: 0.0156 2022/09/15 22:27:03 - mmengine - INFO - Epoch(train) [2][21100/31614] lr: 3.0000e-04 eta: 13:39:08 time: 0.5199 data_time: 0.0207 memory: 26763 loss_ce: 0.0160 loss: 0.0160 2022/09/15 22:27:49 - mmengine - INFO - Epoch(train) [2][21200/31614] lr: 3.0000e-04 eta: 13:38:19 time: 0.4795 data_time: 0.0472 memory: 26763 loss_ce: 0.0125 loss: 0.0125 2022/09/15 22:28:34 - mmengine - INFO - Epoch(train) [2][21300/31614] lr: 3.0000e-04 eta: 13:37:30 time: 0.4698 data_time: 0.0669 memory: 26763 loss_ce: 0.0161 loss: 0.0161 2022/09/15 22:29:14 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 22:29:20 - mmengine - INFO - Epoch(train) [2][21400/31614] lr: 3.0000e-04 eta: 13:36:42 time: 0.4536 data_time: 0.0655 memory: 26763 loss_ce: 0.0172 loss: 0.0172 2022/09/15 22:30:06 - mmengine - INFO - Epoch(train) [2][21500/31614] lr: 3.0000e-04 eta: 13:35:54 time: 0.4109 data_time: 0.0152 memory: 26763 loss_ce: 0.0166 loss: 0.0166 2022/09/15 22:30:51 - mmengine - INFO - Epoch(train) [2][21600/31614] lr: 3.0000e-04 eta: 13:35:04 time: 0.3857 data_time: 0.0047 memory: 26763 loss_ce: 0.0140 loss: 0.0140 2022/09/15 22:31:38 - mmengine - INFO - Epoch(train) [2][21700/31614] lr: 3.0000e-04 eta: 13:34:18 time: 0.4723 data_time: 0.0226 memory: 26763 loss_ce: 0.0116 loss: 0.0116 2022/09/15 22:32:24 - mmengine - INFO - Epoch(train) [2][21800/31614] lr: 3.0000e-04 eta: 13:33:29 time: 0.4800 data_time: 0.0455 memory: 26763 loss_ce: 0.0135 loss: 0.0135 2022/09/15 22:33:09 - mmengine - INFO - Epoch(train) [2][21900/31614] lr: 3.0000e-04 eta: 13:32:40 time: 0.4929 data_time: 0.0649 memory: 26763 loss_ce: 0.0125 loss: 0.0125 2022/09/15 22:33:54 - mmengine - INFO - Epoch(train) [2][22000/31614] lr: 3.0000e-04 eta: 13:31:50 time: 0.4543 data_time: 0.0398 memory: 26763 loss_ce: 0.0153 loss: 0.0153 2022/09/15 22:34:39 - mmengine - INFO - Epoch(train) [2][22100/31614] lr: 3.0000e-04 eta: 13:31:01 time: 0.3891 data_time: 0.0133 memory: 26763 loss_ce: 0.0151 loss: 0.0151 2022/09/15 22:35:25 - mmengine - INFO - Epoch(train) [2][22200/31614] lr: 3.0000e-04 eta: 13:30:12 time: 0.4036 data_time: 0.0047 memory: 26763 loss_ce: 0.0172 loss: 0.0172 2022/09/15 22:36:12 - mmengine - INFO - Epoch(train) [2][22300/31614] lr: 3.0000e-04 eta: 13:29:26 time: 0.4788 data_time: 0.0243 memory: 26763 loss_ce: 0.0116 loss: 0.0116 2022/09/15 22:36:51 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 22:36:58 - mmengine - INFO - Epoch(train) [2][22400/31614] lr: 3.0000e-04 eta: 13:28:39 time: 0.5077 data_time: 0.0444 memory: 26763 loss_ce: 0.0133 loss: 0.0133 2022/09/15 22:37:44 - mmengine - INFO - Epoch(train) [2][22500/31614] lr: 3.0000e-04 eta: 13:27:51 time: 0.4947 data_time: 0.0601 memory: 26763 loss_ce: 0.0166 loss: 0.0166 2022/09/15 22:38:29 - mmengine - INFO - Epoch(train) [2][22600/31614] lr: 3.0000e-04 eta: 13:27:01 time: 0.4324 data_time: 0.0392 memory: 26763 loss_ce: 0.0096 loss: 0.0096 2022/09/15 22:39:14 - mmengine - INFO - Epoch(train) [2][22700/31614] lr: 3.0000e-04 eta: 13:26:12 time: 0.3982 data_time: 0.0170 memory: 26763 loss_ce: 0.0133 loss: 0.0133 2022/09/15 22:40:00 - mmengine - INFO - Epoch(train) [2][22800/31614] lr: 3.0000e-04 eta: 13:25:23 time: 0.3896 data_time: 0.0064 memory: 26763 loss_ce: 0.0154 loss: 0.0154 2022/09/15 22:40:46 - mmengine - INFO - Epoch(train) [2][22900/31614] lr: 3.0000e-04 eta: 13:24:36 time: 0.5416 data_time: 0.0235 memory: 26763 loss_ce: 0.0162 loss: 0.0162 2022/09/15 22:41:33 - mmengine - INFO - Epoch(train) [2][23000/31614] lr: 3.0000e-04 eta: 13:23:49 time: 0.4790 data_time: 0.0448 memory: 26763 loss_ce: 0.0147 loss: 0.0147 2022/09/15 22:42:19 - mmengine - INFO - Epoch(train) [2][23100/31614] lr: 3.0000e-04 eta: 13:23:02 time: 0.4568 data_time: 0.0569 memory: 26763 loss_ce: 0.0150 loss: 0.0150 2022/09/15 22:43:05 - mmengine - INFO - Epoch(train) [2][23200/31614] lr: 3.0000e-04 eta: 13:22:14 time: 0.4254 data_time: 0.0366 memory: 26763 loss_ce: 0.0149 loss: 0.0149 2022/09/15 22:43:50 - mmengine - INFO - Epoch(train) [2][23300/31614] lr: 3.0000e-04 eta: 13:21:24 time: 0.3893 data_time: 0.0134 memory: 26763 loss_ce: 0.0145 loss: 0.0145 2022/09/15 22:44:30 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 22:44:36 - mmengine - INFO - Epoch(train) [2][23400/31614] lr: 3.0000e-04 eta: 13:20:36 time: 0.3855 data_time: 0.0049 memory: 26763 loss_ce: 0.0112 loss: 0.0112 2022/09/15 22:45:23 - mmengine - INFO - Epoch(train) [2][23500/31614] lr: 3.0000e-04 eta: 13:19:50 time: 0.4815 data_time: 0.0204 memory: 26763 loss_ce: 0.0166 loss: 0.0166 2022/09/15 22:46:08 - mmengine - INFO - Epoch(train) [2][23600/31614] lr: 3.0000e-04 eta: 13:19:00 time: 0.4763 data_time: 0.0444 memory: 26763 loss_ce: 0.0185 loss: 0.0185 2022/09/15 22:46:53 - mmengine - INFO - Epoch(train) [2][23700/31614] lr: 3.0000e-04 eta: 13:18:12 time: 0.4720 data_time: 0.0595 memory: 26763 loss_ce: 0.0124 loss: 0.0124 2022/09/15 22:47:39 - mmengine - INFO - Epoch(train) [2][23800/31614] lr: 3.0000e-04 eta: 13:17:24 time: 0.4702 data_time: 0.0550 memory: 26763 loss_ce: 0.0167 loss: 0.0167 2022/09/15 22:48:25 - mmengine - INFO - Epoch(train) [2][23900/31614] lr: 3.0000e-04 eta: 13:16:36 time: 0.3959 data_time: 0.0137 memory: 26763 loss_ce: 0.0141 loss: 0.0141 2022/09/15 22:49:11 - mmengine - INFO - Epoch(train) [2][24000/31614] lr: 3.0000e-04 eta: 13:15:47 time: 0.4155 data_time: 0.0066 memory: 26763 loss_ce: 0.0154 loss: 0.0154 2022/09/15 22:49:56 - mmengine - INFO - Epoch(train) [2][24100/31614] lr: 3.0000e-04 eta: 13:14:59 time: 0.4501 data_time: 0.0237 memory: 26763 loss_ce: 0.0145 loss: 0.0145 2022/09/15 22:50:42 - mmengine - INFO - Epoch(train) [2][24200/31614] lr: 3.0000e-04 eta: 13:14:11 time: 0.5284 data_time: 0.0446 memory: 26763 loss_ce: 0.0135 loss: 0.0135 2022/09/15 22:51:29 - mmengine - INFO - Epoch(train) [2][24300/31614] lr: 3.0000e-04 eta: 13:13:24 time: 0.4678 data_time: 0.0656 memory: 26763 loss_ce: 0.0113 loss: 0.0113 2022/09/15 22:52:08 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 22:52:14 - mmengine - INFO - Epoch(train) [2][24400/31614] lr: 3.0000e-04 eta: 13:12:35 time: 0.4556 data_time: 0.0655 memory: 26763 loss_ce: 0.0149 loss: 0.0149 2022/09/15 22:53:01 - mmengine - INFO - Epoch(train) [2][24500/31614] lr: 3.0000e-04 eta: 13:11:49 time: 0.4121 data_time: 0.0150 memory: 26763 loss_ce: 0.0124 loss: 0.0124 2022/09/15 22:53:46 - mmengine - INFO - Epoch(train) [2][24600/31614] lr: 3.0000e-04 eta: 13:11:00 time: 0.3833 data_time: 0.0046 memory: 26763 loss_ce: 0.0139 loss: 0.0139 2022/09/15 22:54:32 - mmengine - INFO - Epoch(train) [2][24700/31614] lr: 3.0000e-04 eta: 13:10:12 time: 0.4620 data_time: 0.0212 memory: 26763 loss_ce: 0.0143 loss: 0.0143 2022/09/15 22:55:18 - mmengine - INFO - Epoch(train) [2][24800/31614] lr: 3.0000e-04 eta: 13:09:24 time: 0.5334 data_time: 0.0463 memory: 26763 loss_ce: 0.0112 loss: 0.0112 2022/09/15 22:56:04 - mmengine - INFO - Epoch(train) [2][24900/31614] lr: 3.0000e-04 eta: 13:08:36 time: 0.4392 data_time: 0.0370 memory: 26763 loss_ce: 0.0148 loss: 0.0148 2022/09/15 22:56:50 - mmengine - INFO - Epoch(train) [2][25000/31614] lr: 3.0000e-04 eta: 13:07:49 time: 0.4737 data_time: 0.0566 memory: 26763 loss_ce: 0.0133 loss: 0.0133 2022/09/15 22:57:35 - mmengine - INFO - Epoch(train) [2][25100/31614] lr: 3.0000e-04 eta: 13:07:00 time: 0.4181 data_time: 0.0148 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/15 22:58:21 - mmengine - INFO - Epoch(train) [2][25200/31614] lr: 3.0000e-04 eta: 13:06:12 time: 0.3857 data_time: 0.0064 memory: 26763 loss_ce: 0.0131 loss: 0.0131 2022/09/15 22:59:08 - mmengine - INFO - Epoch(train) [2][25300/31614] lr: 3.0000e-04 eta: 13:05:25 time: 0.4659 data_time: 0.0227 memory: 26763 loss_ce: 0.0152 loss: 0.0152 2022/09/15 22:59:47 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 22:59:54 - mmengine - INFO - Epoch(train) [2][25400/31614] lr: 3.0000e-04 eta: 13:04:38 time: 0.5302 data_time: 0.0823 memory: 26763 loss_ce: 0.0143 loss: 0.0143 2022/09/15 23:00:40 - mmengine - INFO - Epoch(train) [2][25500/31614] lr: 3.0000e-04 eta: 13:03:51 time: 0.4983 data_time: 0.0666 memory: 26763 loss_ce: 0.0126 loss: 0.0126 2022/09/15 23:01:26 - mmengine - INFO - Epoch(train) [2][25600/31614] lr: 3.0000e-04 eta: 13:03:03 time: 0.4781 data_time: 0.0626 memory: 26763 loss_ce: 0.0126 loss: 0.0126 2022/09/15 23:02:12 - mmengine - INFO - Epoch(train) [2][25700/31614] lr: 3.0000e-04 eta: 13:02:15 time: 0.3898 data_time: 0.0141 memory: 26763 loss_ce: 0.0148 loss: 0.0148 2022/09/15 23:02:57 - mmengine - INFO - Epoch(train) [2][25800/31614] lr: 3.0000e-04 eta: 13:01:26 time: 0.3902 data_time: 0.0060 memory: 26763 loss_ce: 0.0143 loss: 0.0143 2022/09/15 23:03:44 - mmengine - INFO - Epoch(train) [2][25900/31614] lr: 3.0000e-04 eta: 13:00:39 time: 0.4522 data_time: 0.0025 memory: 26763 loss_ce: 0.0141 loss: 0.0141 2022/09/15 23:04:31 - mmengine - INFO - Epoch(train) [2][26000/31614] lr: 3.0000e-04 eta: 12:59:54 time: 0.5712 data_time: 0.0776 memory: 26763 loss_ce: 0.0146 loss: 0.0146 2022/09/15 23:05:17 - mmengine - INFO - Epoch(train) [2][26100/31614] lr: 3.0000e-04 eta: 12:59:07 time: 0.5032 data_time: 0.0792 memory: 26763 loss_ce: 0.0135 loss: 0.0135 2022/09/15 23:06:03 - mmengine - INFO - Epoch(train) [2][26200/31614] lr: 3.0000e-04 eta: 12:58:18 time: 0.4408 data_time: 0.0485 memory: 26763 loss_ce: 0.0116 loss: 0.0116 2022/09/15 23:06:50 - mmengine - INFO - Epoch(train) [2][26300/31614] lr: 3.0000e-04 eta: 12:57:32 time: 0.3782 data_time: 0.0023 memory: 26763 loss_ce: 0.0135 loss: 0.0135 2022/09/15 23:07:32 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 23:07:37 - mmengine - INFO - Epoch(train) [2][26400/31614] lr: 3.0000e-04 eta: 12:56:47 time: 0.3855 data_time: 0.0023 memory: 26763 loss_ce: 0.0147 loss: 0.0147 2022/09/15 23:08:24 - mmengine - INFO - Epoch(train) [2][26500/31614] lr: 3.0000e-04 eta: 12:56:00 time: 0.4653 data_time: 0.0078 memory: 26763 loss_ce: 0.0128 loss: 0.0128 2022/09/15 23:09:11 - mmengine - INFO - Epoch(train) [2][26600/31614] lr: 3.0000e-04 eta: 12:55:16 time: 0.5876 data_time: 0.0846 memory: 26763 loss_ce: 0.0167 loss: 0.0167 2022/09/15 23:09:59 - mmengine - INFO - Epoch(train) [2][26700/31614] lr: 3.0000e-04 eta: 12:54:31 time: 0.4924 data_time: 0.0589 memory: 26763 loss_ce: 0.0138 loss: 0.0138 2022/09/15 23:10:46 - mmengine - INFO - Epoch(train) [2][26800/31614] lr: 3.0000e-04 eta: 12:53:45 time: 0.4482 data_time: 0.0532 memory: 26763 loss_ce: 0.0148 loss: 0.0148 2022/09/15 23:11:33 - mmengine - INFO - Epoch(train) [2][26900/31614] lr: 3.0000e-04 eta: 12:52:58 time: 0.4062 data_time: 0.0022 memory: 26763 loss_ce: 0.0153 loss: 0.0153 2022/09/15 23:12:19 - mmengine - INFO - Epoch(train) [2][27000/31614] lr: 3.0000e-04 eta: 12:52:11 time: 0.3826 data_time: 0.0023 memory: 26763 loss_ce: 0.0161 loss: 0.0161 2022/09/15 23:13:06 - mmengine - INFO - Epoch(train) [2][27100/31614] lr: 3.0000e-04 eta: 12:51:26 time: 0.4760 data_time: 0.0072 memory: 26763 loss_ce: 0.0144 loss: 0.0144 2022/09/15 23:13:53 - mmengine - INFO - Epoch(train) [2][27200/31614] lr: 3.0000e-04 eta: 12:50:39 time: 0.5195 data_time: 0.0739 memory: 26763 loss_ce: 0.0137 loss: 0.0137 2022/09/15 23:14:40 - mmengine - INFO - Epoch(train) [2][27300/31614] lr: 3.0000e-04 eta: 12:49:54 time: 0.5403 data_time: 0.0623 memory: 26763 loss_ce: 0.0205 loss: 0.0205 2022/09/15 23:15:21 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 23:15:27 - mmengine - INFO - Epoch(train) [2][27400/31614] lr: 3.0000e-04 eta: 12:49:08 time: 0.4787 data_time: 0.0506 memory: 26763 loss_ce: 0.0126 loss: 0.0126 2022/09/15 23:16:14 - mmengine - INFO - Epoch(train) [2][27500/31614] lr: 3.0000e-04 eta: 12:48:22 time: 0.3844 data_time: 0.0025 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/15 23:17:00 - mmengine - INFO - Epoch(train) [2][27600/31614] lr: 3.0000e-04 eta: 12:47:34 time: 0.3855 data_time: 0.0025 memory: 26763 loss_ce: 0.0165 loss: 0.0165 2022/09/15 23:17:47 - mmengine - INFO - Epoch(train) [2][27700/31614] lr: 3.0000e-04 eta: 12:46:49 time: 0.4532 data_time: 0.0078 memory: 26763 loss_ce: 0.0149 loss: 0.0149 2022/09/15 23:18:35 - mmengine - INFO - Epoch(train) [2][27800/31614] lr: 3.0000e-04 eta: 12:46:04 time: 0.5090 data_time: 0.0637 memory: 26763 loss_ce: 0.0147 loss: 0.0147 2022/09/15 23:19:22 - mmengine - INFO - Epoch(train) [2][27900/31614] lr: 3.0000e-04 eta: 12:45:18 time: 0.4837 data_time: 0.0561 memory: 26763 loss_ce: 0.0125 loss: 0.0125 2022/09/15 23:20:08 - mmengine - INFO - Epoch(train) [2][28000/31614] lr: 3.0000e-04 eta: 12:44:30 time: 0.4392 data_time: 0.0502 memory: 26763 loss_ce: 0.0147 loss: 0.0147 2022/09/15 23:20:54 - mmengine - INFO - Epoch(train) [2][28100/31614] lr: 3.0000e-04 eta: 12:43:43 time: 0.3799 data_time: 0.0021 memory: 26763 loss_ce: 0.0104 loss: 0.0104 2022/09/15 23:21:41 - mmengine - INFO - Epoch(train) [2][28200/31614] lr: 3.0000e-04 eta: 12:42:56 time: 0.4171 data_time: 0.0022 memory: 26763 loss_ce: 0.0143 loss: 0.0143 2022/09/15 23:22:28 - mmengine - INFO - Epoch(train) [2][28300/31614] lr: 3.0000e-04 eta: 12:42:11 time: 0.5058 data_time: 0.0087 memory: 26763 loss_ce: 0.0108 loss: 0.0108 2022/09/15 23:23:08 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 23:23:15 - mmengine - INFO - Epoch(train) [2][28400/31614] lr: 3.0000e-04 eta: 12:41:24 time: 0.5263 data_time: 0.0566 memory: 26763 loss_ce: 0.0131 loss: 0.0131 2022/09/15 23:24:01 - mmengine - INFO - Epoch(train) [2][28500/31614] lr: 3.0000e-04 eta: 12:40:37 time: 0.4570 data_time: 0.0562 memory: 26763 loss_ce: 0.0171 loss: 0.0171 2022/09/15 23:24:48 - mmengine - INFO - Epoch(train) [2][28600/31614] lr: 3.0000e-04 eta: 12:39:51 time: 0.4706 data_time: 0.0704 memory: 26763 loss_ce: 0.0148 loss: 0.0148 2022/09/15 23:25:33 - mmengine - INFO - Epoch(train) [2][28700/31614] lr: 3.0000e-04 eta: 12:39:03 time: 0.4203 data_time: 0.0021 memory: 26763 loss_ce: 0.0159 loss: 0.0159 2022/09/15 23:26:20 - mmengine - INFO - Epoch(train) [2][28800/31614] lr: 3.0000e-04 eta: 12:38:17 time: 0.3913 data_time: 0.0025 memory: 26763 loss_ce: 0.0156 loss: 0.0156 2022/09/15 23:27:09 - mmengine - INFO - Epoch(train) [2][28900/31614] lr: 3.0000e-04 eta: 12:37:33 time: 0.4760 data_time: 0.0106 memory: 26763 loss_ce: 0.0139 loss: 0.0139 2022/09/15 23:27:55 - mmengine - INFO - Epoch(train) [2][29000/31614] lr: 3.0000e-04 eta: 12:36:46 time: 0.5342 data_time: 0.0616 memory: 26763 loss_ce: 0.0168 loss: 0.0168 2022/09/15 23:28:42 - mmengine - INFO - Epoch(train) [2][29100/31614] lr: 3.0000e-04 eta: 12:36:00 time: 0.5059 data_time: 0.0551 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/15 23:29:29 - mmengine - INFO - Epoch(train) [2][29200/31614] lr: 3.0000e-04 eta: 12:35:13 time: 0.5338 data_time: 0.0745 memory: 26763 loss_ce: 0.0154 loss: 0.0154 2022/09/15 23:30:15 - mmengine - INFO - Epoch(train) [2][29300/31614] lr: 3.0000e-04 eta: 12:34:26 time: 0.3802 data_time: 0.0023 memory: 26763 loss_ce: 0.0153 loss: 0.0153 2022/09/15 23:30:55 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 23:31:01 - mmengine - INFO - Epoch(train) [2][29400/31614] lr: 3.0000e-04 eta: 12:33:38 time: 0.3827 data_time: 0.0022 memory: 26763 loss_ce: 0.0149 loss: 0.0149 2022/09/15 23:31:49 - mmengine - INFO - Epoch(train) [2][29500/31614] lr: 3.0000e-04 eta: 12:32:54 time: 0.4937 data_time: 0.0089 memory: 26763 loss_ce: 0.0149 loss: 0.0149 2022/09/15 23:32:37 - mmengine - INFO - Epoch(train) [2][29600/31614] lr: 3.0000e-04 eta: 12:32:10 time: 0.5666 data_time: 0.0699 memory: 26763 loss_ce: 0.0177 loss: 0.0177 2022/09/15 23:33:23 - mmengine - INFO - Epoch(train) [2][29700/31614] lr: 3.0000e-04 eta: 12:31:23 time: 0.4766 data_time: 0.0742 memory: 26763 loss_ce: 0.0123 loss: 0.0123 2022/09/15 23:34:10 - mmengine - INFO - Epoch(train) [2][29800/31614] lr: 3.0000e-04 eta: 12:30:36 time: 0.4424 data_time: 0.0477 memory: 26763 loss_ce: 0.0108 loss: 0.0108 2022/09/15 23:34:56 - mmengine - INFO - Epoch(train) [2][29900/31614] lr: 3.0000e-04 eta: 12:29:49 time: 0.3876 data_time: 0.0023 memory: 26763 loss_ce: 0.0177 loss: 0.0177 2022/09/15 23:35:43 - mmengine - INFO - Epoch(train) [2][30000/31614] lr: 3.0000e-04 eta: 12:29:03 time: 0.3859 data_time: 0.0022 memory: 26763 loss_ce: 0.0098 loss: 0.0098 2022/09/15 23:36:31 - mmengine - INFO - Epoch(train) [2][30100/31614] lr: 3.0000e-04 eta: 12:28:18 time: 0.4737 data_time: 0.0079 memory: 26763 loss_ce: 0.0108 loss: 0.0108 2022/09/15 23:37:18 - mmengine - INFO - Epoch(train) [2][30200/31614] lr: 3.0000e-04 eta: 12:27:33 time: 0.5579 data_time: 0.0555 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/15 23:38:04 - mmengine - INFO - Epoch(train) [2][30300/31614] lr: 3.0000e-04 eta: 12:26:45 time: 0.4817 data_time: 0.0727 memory: 26763 loss_ce: 0.0148 loss: 0.0148 2022/09/15 23:38:44 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 23:38:50 - mmengine - INFO - Epoch(train) [2][30400/31614] lr: 3.0000e-04 eta: 12:25:58 time: 0.4358 data_time: 0.0449 memory: 26763 loss_ce: 0.0133 loss: 0.0133 2022/09/15 23:39:37 - mmengine - INFO - Epoch(train) [2][30500/31614] lr: 3.0000e-04 eta: 12:25:11 time: 0.3929 data_time: 0.0027 memory: 26763 loss_ce: 0.0151 loss: 0.0151 2022/09/15 23:40:23 - mmengine - INFO - Epoch(train) [2][30600/31614] lr: 3.0000e-04 eta: 12:24:24 time: 0.3833 data_time: 0.0022 memory: 26763 loss_ce: 0.0137 loss: 0.0137 2022/09/15 23:41:10 - mmengine - INFO - Epoch(train) [2][30700/31614] lr: 3.0000e-04 eta: 12:23:38 time: 0.4747 data_time: 0.0076 memory: 26763 loss_ce: 0.0134 loss: 0.0134 2022/09/15 23:41:57 - mmengine - INFO - Epoch(train) [2][30800/31614] lr: 3.0000e-04 eta: 12:22:51 time: 0.5533 data_time: 0.0858 memory: 26763 loss_ce: 0.0156 loss: 0.0156 2022/09/15 23:42:43 - mmengine - INFO - Epoch(train) [2][30900/31614] lr: 3.0000e-04 eta: 12:22:04 time: 0.5106 data_time: 0.0800 memory: 26763 loss_ce: 0.0135 loss: 0.0135 2022/09/15 23:43:30 - mmengine - INFO - Epoch(train) [2][31000/31614] lr: 3.0000e-04 eta: 12:21:18 time: 0.4672 data_time: 0.0764 memory: 26763 loss_ce: 0.0129 loss: 0.0129 2022/09/15 23:44:16 - mmengine - INFO - Epoch(train) [2][31100/31614] lr: 3.0000e-04 eta: 12:20:31 time: 0.3805 data_time: 0.0022 memory: 26763 loss_ce: 0.0112 loss: 0.0112 2022/09/15 23:45:02 - mmengine - INFO - Epoch(train) [2][31200/31614] lr: 3.0000e-04 eta: 12:19:43 time: 0.3819 data_time: 0.0024 memory: 26763 loss_ce: 0.0143 loss: 0.0143 2022/09/15 23:45:50 - mmengine - INFO - Epoch(train) [2][31300/31614] lr: 3.0000e-04 eta: 12:18:59 time: 0.5321 data_time: 0.0104 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/15 23:46:29 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 23:46:37 - mmengine - INFO - Epoch(train) [2][31400/31614] lr: 3.0000e-04 eta: 12:18:12 time: 0.6081 data_time: 0.0583 memory: 26763 loss_ce: 0.0133 loss: 0.0133 2022/09/15 23:47:24 - mmengine - INFO - Epoch(train) [2][31500/31614] lr: 3.0000e-04 eta: 12:17:26 time: 0.4797 data_time: 0.0534 memory: 26763 loss_ce: 0.0112 loss: 0.0112 2022/09/15 23:48:10 - mmengine - INFO - Epoch(train) [2][31600/31614] lr: 3.0000e-04 eta: 12:16:39 time: 0.4730 data_time: 0.0777 memory: 26763 loss_ce: 0.0111 loss: 0.0111 2022/09/15 23:48:16 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/15 23:48:16 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/09/15 23:49:00 - mmengine - INFO - Epoch(val) [2][100/1918] eta: 0:05:21 time: 0.1768 data_time: 0.0007 memory: 26763 2022/09/15 23:49:17 - mmengine - INFO - Epoch(val) [2][200/1918] eta: 0:05:01 time: 0.1756 data_time: 0.0008 memory: 1275 2022/09/15 23:49:35 - mmengine - INFO - Epoch(val) [2][300/1918] eta: 0:04:39 time: 0.1727 data_time: 0.0007 memory: 1275 2022/09/15 23:49:53 - mmengine - INFO - Epoch(val) [2][400/1918] eta: 0:04:25 time: 0.1746 data_time: 0.0008 memory: 1275 2022/09/15 23:50:10 - mmengine - INFO - Epoch(val) [2][500/1918] eta: 0:04:06 time: 0.1742 data_time: 0.0007 memory: 1275 2022/09/15 23:50:28 - mmengine - INFO - Epoch(val) [2][600/1918] eta: 0:03:58 time: 0.1808 data_time: 0.0008 memory: 1275 2022/09/15 23:50:45 - mmengine - INFO - Epoch(val) [2][700/1918] eta: 0:03:30 time: 0.1731 data_time: 0.0007 memory: 1275 2022/09/15 23:51:03 - mmengine - INFO - Epoch(val) [2][800/1918] eta: 0:03:12 time: 0.1717 data_time: 0.0007 memory: 1275 2022/09/15 23:51:20 - mmengine - INFO - Epoch(val) [2][900/1918] eta: 0:02:58 time: 0.1753 data_time: 0.0007 memory: 1275 2022/09/15 23:51:38 - mmengine - INFO - Epoch(val) [2][1000/1918] eta: 0:02:44 time: 0.1787 data_time: 0.0027 memory: 1275 2022/09/15 23:51:55 - mmengine - INFO - Epoch(val) [2][1100/1918] eta: 0:02:22 time: 0.1741 data_time: 0.0007 memory: 1275 2022/09/15 23:52:13 - mmengine - INFO - Epoch(val) [2][1200/1918] eta: 0:02:07 time: 0.1771 data_time: 0.0007 memory: 1275 2022/09/15 23:52:31 - mmengine - INFO - Epoch(val) [2][1300/1918] eta: 0:01:46 time: 0.1724 data_time: 0.0007 memory: 1275 2022/09/15 23:52:48 - mmengine - INFO - Epoch(val) [2][1400/1918] eta: 0:01:29 time: 0.1723 data_time: 0.0007 memory: 1275 2022/09/15 23:53:06 - mmengine - INFO - Epoch(val) [2][1500/1918] eta: 0:01:14 time: 0.1776 data_time: 0.0007 memory: 1275 2022/09/15 23:53:24 - mmengine - INFO - Epoch(val) [2][1600/1918] eta: 0:00:56 time: 0.1792 data_time: 0.0007 memory: 1275 2022/09/15 23:53:41 - mmengine - INFO - Epoch(val) [2][1700/1918] eta: 0:00:37 time: 0.1728 data_time: 0.0007 memory: 1275 2022/09/15 23:53:59 - mmengine - INFO - Epoch(val) [2][1800/1918] eta: 0:00:20 time: 0.1751 data_time: 0.0007 memory: 1275 2022/09/15 23:54:17 - mmengine - INFO - Epoch(val) [2][1900/1918] eta: 0:00:03 time: 0.1830 data_time: 0.0032 memory: 1275 2022/09/15 23:54:25 - mmengine - INFO - Epoch(val) [2][1918/1918] CUTE80/recog/word_acc_ignore_case_symbol: 0.8264 IIIT5K/recog/word_acc_ignore_case_symbol: 0.9420 SVT/recog/word_acc_ignore_case_symbol: 0.9181 SVTP/recog/word_acc_ignore_case_symbol: 0.8481 IC13/recog/word_acc_ignore_case_symbol: 0.9438 IC15/recog/word_acc_ignore_case_symbol: 0.7713 2022/09/15 23:55:15 - mmengine - INFO - Epoch(train) [3][100/31614] lr: 3.0000e-04 eta: 12:15:48 time: 0.5250 data_time: 0.0472 memory: 26763 loss_ce: 0.0121 loss: 0.0121 2022/09/15 23:56:02 - mmengine - INFO - Epoch(train) [3][200/31614] lr: 3.0000e-04 eta: 12:15:02 time: 0.6052 data_time: 0.0846 memory: 26763 loss_ce: 0.0150 loss: 0.0150 2022/09/15 23:56:48 - mmengine - INFO - Epoch(train) [3][300/31614] lr: 3.0000e-04 eta: 12:14:14 time: 0.4937 data_time: 0.0209 memory: 26763 loss_ce: 0.0110 loss: 0.0110 2022/09/15 23:57:34 - mmengine - INFO - Epoch(train) [3][400/31614] lr: 3.0000e-04 eta: 12:13:26 time: 0.3910 data_time: 0.0176 memory: 26763 loss_ce: 0.0115 loss: 0.0115 2022/09/15 23:58:20 - mmengine - INFO - Epoch(train) [3][500/31614] lr: 3.0000e-04 eta: 12:12:39 time: 0.3837 data_time: 0.0069 memory: 26763 loss_ce: 0.0126 loss: 0.0126 2022/09/15 23:59:05 - mmengine - INFO - Epoch(train) [3][600/31614] lr: 3.0000e-04 eta: 12:11:51 time: 0.3764 data_time: 0.0067 memory: 26763 loss_ce: 0.0104 loss: 0.0104 2022/09/15 23:59:54 - mmengine - INFO - Epoch(train) [3][700/31614] lr: 3.0000e-04 eta: 12:11:07 time: 0.5870 data_time: 0.0773 memory: 26763 loss_ce: 0.0152 loss: 0.0152 2022/09/16 00:00:32 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 00:00:45 - mmengine - INFO - Epoch(train) [3][800/31614] lr: 3.0000e-04 eta: 12:10:27 time: 0.5449 data_time: 0.0511 memory: 26763 loss_ce: 0.0138 loss: 0.0138 2022/09/16 00:01:31 - mmengine - INFO - Epoch(train) [3][900/31614] lr: 3.0000e-04 eta: 12:09:39 time: 0.4949 data_time: 0.0169 memory: 26763 loss_ce: 0.0145 loss: 0.0145 2022/09/16 00:02:17 - mmengine - INFO - Epoch(train) [3][1000/31614] lr: 3.0000e-04 eta: 12:08:52 time: 0.3902 data_time: 0.0181 memory: 26763 loss_ce: 0.0105 loss: 0.0105 2022/09/16 00:03:04 - mmengine - INFO - Epoch(train) [3][1100/31614] lr: 3.0000e-04 eta: 12:08:05 time: 0.4419 data_time: 0.0338 memory: 26763 loss_ce: 0.0154 loss: 0.0154 2022/09/16 00:03:50 - mmengine - INFO - Epoch(train) [3][1200/31614] lr: 3.0000e-04 eta: 12:07:18 time: 0.3791 data_time: 0.0101 memory: 26763 loss_ce: 0.0129 loss: 0.0129 2022/09/16 00:04:37 - mmengine - INFO - Epoch(train) [3][1300/31614] lr: 3.0000e-04 eta: 12:06:32 time: 0.5289 data_time: 0.0402 memory: 26763 loss_ce: 0.0152 loss: 0.0152 2022/09/16 00:05:23 - mmengine - INFO - Epoch(train) [3][1400/31614] lr: 3.0000e-04 eta: 12:05:45 time: 0.6121 data_time: 0.0582 memory: 26763 loss_ce: 0.0100 loss: 0.0100 2022/09/16 00:06:11 - mmengine - INFO - Epoch(train) [3][1500/31614] lr: 3.0000e-04 eta: 12:04:59 time: 0.5283 data_time: 0.0154 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/16 00:06:57 - mmengine - INFO - Epoch(train) [3][1600/31614] lr: 3.0000e-04 eta: 12:04:13 time: 0.3944 data_time: 0.0211 memory: 26763 loss_ce: 0.0135 loss: 0.0135 2022/09/16 00:07:43 - mmengine - INFO - Epoch(train) [3][1700/31614] lr: 3.0000e-04 eta: 12:03:25 time: 0.3888 data_time: 0.0131 memory: 26763 loss_ce: 0.0155 loss: 0.0155 2022/09/16 00:08:17 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 00:08:29 - mmengine - INFO - Epoch(train) [3][1800/31614] lr: 3.0000e-04 eta: 12:02:37 time: 0.3799 data_time: 0.0103 memory: 26763 loss_ce: 0.0123 loss: 0.0123 2022/09/16 00:09:17 - mmengine - INFO - Epoch(train) [3][1900/31614] lr: 3.0000e-04 eta: 12:01:53 time: 0.5857 data_time: 0.0683 memory: 26763 loss_ce: 0.0118 loss: 0.0118 2022/09/16 00:10:03 - mmengine - INFO - Epoch(train) [3][2000/31614] lr: 3.0000e-04 eta: 12:01:05 time: 0.5438 data_time: 0.0774 memory: 26763 loss_ce: 0.0097 loss: 0.0097 2022/09/16 00:10:49 - mmengine - INFO - Epoch(train) [3][2100/31614] lr: 3.0000e-04 eta: 12:00:18 time: 0.4630 data_time: 0.0158 memory: 26763 loss_ce: 0.0124 loss: 0.0124 2022/09/16 00:11:35 - mmengine - INFO - Epoch(train) [3][2200/31614] lr: 3.0000e-04 eta: 11:59:30 time: 0.4192 data_time: 0.0173 memory: 26763 loss_ce: 0.0139 loss: 0.0139 2022/09/16 00:12:21 - mmengine - INFO - Epoch(train) [3][2300/31614] lr: 3.0000e-04 eta: 11:58:43 time: 0.3858 data_time: 0.0112 memory: 26763 loss_ce: 0.0106 loss: 0.0106 2022/09/16 00:13:07 - mmengine - INFO - Epoch(train) [3][2400/31614] lr: 3.0000e-04 eta: 11:57:55 time: 0.4074 data_time: 0.0409 memory: 26763 loss_ce: 0.0112 loss: 0.0112 2022/09/16 00:13:55 - mmengine - INFO - Epoch(train) [3][2500/31614] lr: 3.0000e-04 eta: 11:57:11 time: 0.5924 data_time: 0.0411 memory: 26763 loss_ce: 0.0102 loss: 0.0102 2022/09/16 00:14:41 - mmengine - INFO - Epoch(train) [3][2600/31614] lr: 3.0000e-04 eta: 11:56:24 time: 0.5619 data_time: 0.0472 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/16 00:15:27 - mmengine - INFO - Epoch(train) [3][2700/31614] lr: 3.0000e-04 eta: 11:55:36 time: 0.4803 data_time: 0.0167 memory: 26763 loss_ce: 0.0140 loss: 0.0140 2022/09/16 00:16:01 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 00:16:13 - mmengine - INFO - Epoch(train) [3][2800/31614] lr: 3.0000e-04 eta: 11:54:49 time: 0.4207 data_time: 0.0213 memory: 26763 loss_ce: 0.0110 loss: 0.0110 2022/09/16 00:17:00 - mmengine - INFO - Epoch(train) [3][2900/31614] lr: 3.0000e-04 eta: 11:54:03 time: 0.4089 data_time: 0.0098 memory: 26763 loss_ce: 0.0108 loss: 0.0108 2022/09/16 00:17:46 - mmengine - INFO - Epoch(train) [3][3000/31614] lr: 3.0000e-04 eta: 11:53:15 time: 0.3791 data_time: 0.0105 memory: 26763 loss_ce: 0.0108 loss: 0.0108 2022/09/16 00:18:33 - mmengine - INFO - Epoch(train) [3][3100/31614] lr: 3.0000e-04 eta: 11:52:29 time: 0.5246 data_time: 0.0394 memory: 26763 loss_ce: 0.0110 loss: 0.0110 2022/09/16 00:19:20 - mmengine - INFO - Epoch(train) [3][3200/31614] lr: 3.0000e-04 eta: 11:51:42 time: 0.5502 data_time: 0.0499 memory: 26763 loss_ce: 0.0127 loss: 0.0127 2022/09/16 00:20:06 - mmengine - INFO - Epoch(train) [3][3300/31614] lr: 3.0000e-04 eta: 11:50:55 time: 0.5181 data_time: 0.0151 memory: 26763 loss_ce: 0.0125 loss: 0.0125 2022/09/16 00:20:52 - mmengine - INFO - Epoch(train) [3][3400/31614] lr: 3.0000e-04 eta: 11:50:07 time: 0.4007 data_time: 0.0230 memory: 26763 loss_ce: 0.0129 loss: 0.0129 2022/09/16 00:21:38 - mmengine - INFO - Epoch(train) [3][3500/31614] lr: 3.0000e-04 eta: 11:49:20 time: 0.3872 data_time: 0.0096 memory: 26763 loss_ce: 0.0128 loss: 0.0128 2022/09/16 00:22:24 - mmengine - INFO - Epoch(train) [3][3600/31614] lr: 3.0000e-04 eta: 11:48:33 time: 0.3887 data_time: 0.0145 memory: 26763 loss_ce: 0.0139 loss: 0.0139 2022/09/16 00:23:12 - mmengine - INFO - Epoch(train) [3][3700/31614] lr: 3.0000e-04 eta: 11:47:48 time: 0.5519 data_time: 0.0607 memory: 26763 loss_ce: 0.0125 loss: 0.0125 2022/09/16 00:23:45 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 00:23:58 - mmengine - INFO - Epoch(train) [3][3800/31614] lr: 3.0000e-04 eta: 11:47:01 time: 0.5490 data_time: 0.0664 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/16 00:24:44 - mmengine - INFO - Epoch(train) [3][3900/31614] lr: 3.0000e-04 eta: 11:46:14 time: 0.5162 data_time: 0.0147 memory: 26763 loss_ce: 0.0108 loss: 0.0108 2022/09/16 00:25:30 - mmengine - INFO - Epoch(train) [3][4000/31614] lr: 3.0000e-04 eta: 11:45:26 time: 0.3912 data_time: 0.0184 memory: 26763 loss_ce: 0.0132 loss: 0.0132 2022/09/16 00:26:16 - mmengine - INFO - Epoch(train) [3][4100/31614] lr: 3.0000e-04 eta: 11:44:39 time: 0.3822 data_time: 0.0105 memory: 26763 loss_ce: 0.0146 loss: 0.0146 2022/09/16 00:27:02 - mmengine - INFO - Epoch(train) [3][4200/31614] lr: 3.0000e-04 eta: 11:43:52 time: 0.4327 data_time: 0.0479 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/16 00:27:50 - mmengine - INFO - Epoch(train) [3][4300/31614] lr: 3.0000e-04 eta: 11:43:06 time: 0.5590 data_time: 0.0433 memory: 26763 loss_ce: 0.0135 loss: 0.0135 2022/09/16 00:28:36 - mmengine - INFO - Epoch(train) [3][4400/31614] lr: 3.0000e-04 eta: 11:42:19 time: 0.5629 data_time: 0.0470 memory: 26763 loss_ce: 0.0120 loss: 0.0120 2022/09/16 00:29:22 - mmengine - INFO - Epoch(train) [3][4500/31614] lr: 3.0000e-04 eta: 11:41:31 time: 0.4880 data_time: 0.0176 memory: 26763 loss_ce: 0.0136 loss: 0.0136 2022/09/16 00:30:08 - mmengine - INFO - Epoch(train) [3][4600/31614] lr: 3.0000e-04 eta: 11:40:44 time: 0.4184 data_time: 0.0181 memory: 26763 loss_ce: 0.0122 loss: 0.0122 2022/09/16 00:30:54 - mmengine - INFO - Epoch(train) [3][4700/31614] lr: 3.0000e-04 eta: 11:39:57 time: 0.3850 data_time: 0.0095 memory: 26763 loss_ce: 0.0137 loss: 0.0137 2022/09/16 00:31:28 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 00:31:41 - mmengine - INFO - Epoch(train) [3][4800/31614] lr: 3.0000e-04 eta: 11:39:11 time: 0.4114 data_time: 0.0115 memory: 26763 loss_ce: 0.0137 loss: 0.0137 2022/09/16 00:32:29 - mmengine - INFO - Epoch(train) [3][4900/31614] lr: 3.0000e-04 eta: 11:38:26 time: 0.5313 data_time: 0.0426 memory: 26763 loss_ce: 0.0149 loss: 0.0149 2022/09/16 00:33:16 - mmengine - INFO - Epoch(train) [3][5000/31614] lr: 3.0000e-04 eta: 11:37:40 time: 0.6056 data_time: 0.0571 memory: 26763 loss_ce: 0.0118 loss: 0.0118 2022/09/16 00:34:03 - mmengine - INFO - Epoch(train) [3][5100/31614] lr: 3.0000e-04 eta: 11:36:53 time: 0.5039 data_time: 0.0155 memory: 26763 loss_ce: 0.0096 loss: 0.0096 2022/09/16 00:34:50 - mmengine - INFO - Epoch(train) [3][5200/31614] lr: 3.0000e-04 eta: 11:36:07 time: 0.3934 data_time: 0.0191 memory: 26763 loss_ce: 0.0121 loss: 0.0121 2022/09/16 00:35:36 - mmengine - INFO - Epoch(train) [3][5300/31614] lr: 3.0000e-04 eta: 11:35:20 time: 0.3834 data_time: 0.0103 memory: 26763 loss_ce: 0.0111 loss: 0.0111 2022/09/16 00:36:22 - mmengine - INFO - Epoch(train) [3][5400/31614] lr: 3.0000e-04 eta: 11:34:33 time: 0.3815 data_time: 0.0096 memory: 26763 loss_ce: 0.0135 loss: 0.0135 2022/09/16 00:37:09 - mmengine - INFO - Epoch(train) [3][5500/31614] lr: 3.0000e-04 eta: 11:33:47 time: 0.5804 data_time: 0.0690 memory: 26763 loss_ce: 0.0133 loss: 0.0133 2022/09/16 00:37:56 - mmengine - INFO - Epoch(train) [3][5600/31614] lr: 3.0000e-04 eta: 11:33:00 time: 0.5644 data_time: 0.0923 memory: 26763 loss_ce: 0.0126 loss: 0.0126 2022/09/16 00:38:42 - mmengine - INFO - Epoch(train) [3][5700/31614] lr: 3.0000e-04 eta: 11:32:13 time: 0.4893 data_time: 0.0157 memory: 26763 loss_ce: 0.0144 loss: 0.0144 2022/09/16 00:39:16 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 00:39:29 - mmengine - INFO - Epoch(train) [3][5800/31614] lr: 3.0000e-04 eta: 11:31:27 time: 0.4015 data_time: 0.0195 memory: 26763 loss_ce: 0.0119 loss: 0.0119 2022/09/16 00:40:16 - mmengine - INFO - Epoch(train) [3][5900/31614] lr: 3.0000e-04 eta: 11:30:41 time: 0.3870 data_time: 0.0099 memory: 26763 loss_ce: 0.0117 loss: 0.0117 2022/09/16 00:41:02 - mmengine - INFO - Epoch(train) [3][6000/31614] lr: 3.0000e-04 eta: 11:29:54 time: 0.4025 data_time: 0.0370 memory: 26763 loss_ce: 0.0106 loss: 0.0106 2022/09/16 00:41:50 - mmengine - INFO - Epoch(train) [3][6100/31614] lr: 3.0000e-04 eta: 11:29:08 time: 0.5722 data_time: 0.0407 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/16 00:42:36 - mmengine - INFO - Epoch(train) [3][6200/31614] lr: 3.0000e-04 eta: 11:28:21 time: 0.5810 data_time: 0.0485 memory: 26763 loss_ce: 0.0115 loss: 0.0115 2022/09/16 00:43:22 - mmengine - INFO - Epoch(train) [3][6300/31614] lr: 3.0000e-04 eta: 11:27:35 time: 0.5269 data_time: 0.0160 memory: 26763 loss_ce: 0.0124 loss: 0.0124 2022/09/16 00:44:10 - mmengine - INFO - Epoch(train) [3][6400/31614] lr: 3.0000e-04 eta: 11:26:49 time: 0.4238 data_time: 0.0190 memory: 26763 loss_ce: 0.0099 loss: 0.0099 2022/09/16 00:44:56 - mmengine - INFO - Epoch(train) [3][6500/31614] lr: 3.0000e-04 eta: 11:26:02 time: 0.3904 data_time: 0.0119 memory: 26763 loss_ce: 0.0125 loss: 0.0125 2022/09/16 00:45:42 - mmengine - INFO - Epoch(train) [3][6600/31614] lr: 3.0000e-04 eta: 11:25:14 time: 0.3771 data_time: 0.0094 memory: 26763 loss_ce: 0.0126 loss: 0.0126 2022/09/16 00:46:29 - mmengine - INFO - Epoch(train) [3][6700/31614] lr: 3.0000e-04 eta: 11:24:29 time: 0.5490 data_time: 0.0415 memory: 26763 loss_ce: 0.0121 loss: 0.0121 2022/09/16 00:47:02 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 00:47:15 - mmengine - INFO - Epoch(train) [3][6800/31614] lr: 3.0000e-04 eta: 11:23:41 time: 0.5599 data_time: 0.0469 memory: 26763 loss_ce: 0.0102 loss: 0.0102 2022/09/16 00:48:01 - mmengine - INFO - Epoch(train) [3][6900/31614] lr: 3.0000e-04 eta: 11:22:53 time: 0.4624 data_time: 0.0156 memory: 26763 loss_ce: 0.0114 loss: 0.0114 2022/09/16 00:48:47 - mmengine - INFO - Epoch(train) [3][7000/31614] lr: 3.0000e-04 eta: 11:22:06 time: 0.3943 data_time: 0.0182 memory: 26763 loss_ce: 0.0150 loss: 0.0150 2022/09/16 00:49:34 - mmengine - INFO - Epoch(train) [3][7100/31614] lr: 3.0000e-04 eta: 11:21:20 time: 0.3882 data_time: 0.0103 memory: 26763 loss_ce: 0.0146 loss: 0.0146 2022/09/16 00:50:21 - mmengine - INFO - Epoch(train) [3][7200/31614] lr: 3.0000e-04 eta: 11:20:34 time: 0.3763 data_time: 0.0100 memory: 26763 loss_ce: 0.0109 loss: 0.0109 2022/09/16 00:51:09 - mmengine - INFO - Epoch(train) [3][7300/31614] lr: 3.0000e-04 eta: 11:19:49 time: 0.5931 data_time: 0.0676 memory: 26763 loss_ce: 0.0122 loss: 0.0122 2022/09/16 00:51:56 - mmengine - INFO - Epoch(train) [3][7400/31614] lr: 3.0000e-04 eta: 11:19:03 time: 0.6234 data_time: 0.0845 memory: 26763 loss_ce: 0.0131 loss: 0.0131 2022/09/16 00:52:42 - mmengine - INFO - Epoch(train) [3][7500/31614] lr: 3.0000e-04 eta: 11:18:15 time: 0.4641 data_time: 0.0151 memory: 26763 loss_ce: 0.0118 loss: 0.0118 2022/09/16 00:53:27 - mmengine - INFO - Epoch(train) [3][7600/31614] lr: 3.0000e-04 eta: 11:17:27 time: 0.3923 data_time: 0.0194 memory: 26763 loss_ce: 0.0156 loss: 0.0156 2022/09/16 00:54:14 - mmengine - INFO - Epoch(train) [3][7700/31614] lr: 3.0000e-04 eta: 11:16:40 time: 0.3870 data_time: 0.0112 memory: 26763 loss_ce: 0.0113 loss: 0.0113 2022/09/16 00:54:47 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 00:55:00 - mmengine - INFO - Epoch(train) [3][7800/31614] lr: 3.0000e-04 eta: 11:15:54 time: 0.4129 data_time: 0.0450 memory: 26763 loss_ce: 0.0097 loss: 0.0097 2022/09/16 00:55:47 - mmengine - INFO - Epoch(train) [3][7900/31614] lr: 3.0000e-04 eta: 11:15:08 time: 0.5301 data_time: 0.0410 memory: 26763 loss_ce: 0.0143 loss: 0.0143 2022/09/16 00:56:35 - mmengine - INFO - Epoch(train) [3][8000/31614] lr: 3.0000e-04 eta: 11:14:22 time: 0.6052 data_time: 0.0570 memory: 26763 loss_ce: 0.0117 loss: 0.0117 2022/09/16 00:57:21 - mmengine - INFO - Epoch(train) [3][8100/31614] lr: 3.0000e-04 eta: 11:13:35 time: 0.4664 data_time: 0.0165 memory: 26763 loss_ce: 0.0140 loss: 0.0140 2022/09/16 00:58:07 - mmengine - INFO - Epoch(train) [3][8200/31614] lr: 3.0000e-04 eta: 11:12:48 time: 0.4174 data_time: 0.0181 memory: 26763 loss_ce: 0.0145 loss: 0.0145 2022/09/16 00:58:53 - mmengine - INFO - Epoch(train) [3][8300/31614] lr: 3.0000e-04 eta: 11:12:01 time: 0.4266 data_time: 0.0097 memory: 26763 loss_ce: 0.0143 loss: 0.0143 2022/09/16 00:59:40 - mmengine - INFO - Epoch(train) [3][8400/31614] lr: 3.0000e-04 eta: 11:11:14 time: 0.4033 data_time: 0.0098 memory: 26763 loss_ce: 0.0146 loss: 0.0146 2022/09/16 01:00:27 - mmengine - INFO - Epoch(train) [3][8500/31614] lr: 3.0000e-04 eta: 11:10:28 time: 0.5035 data_time: 0.0403 memory: 26763 loss_ce: 0.0145 loss: 0.0145 2022/09/16 01:01:13 - mmengine - INFO - Epoch(train) [3][8600/31614] lr: 3.0000e-04 eta: 11:09:41 time: 0.5779 data_time: 0.0472 memory: 26763 loss_ce: 0.0118 loss: 0.0118 2022/09/16 01:02:00 - mmengine - INFO - Epoch(train) [3][8700/31614] lr: 3.0000e-04 eta: 11:08:54 time: 0.4933 data_time: 0.0152 memory: 26763 loss_ce: 0.0128 loss: 0.0128 2022/09/16 01:02:33 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 01:02:45 - mmengine - INFO - Epoch(train) [3][8800/31614] lr: 3.0000e-04 eta: 11:08:07 time: 0.3943 data_time: 0.0187 memory: 26763 loss_ce: 0.0132 loss: 0.0132 2022/09/16 01:03:31 - mmengine - INFO - Epoch(train) [3][8900/31614] lr: 3.0000e-04 eta: 11:07:19 time: 0.3847 data_time: 0.0101 memory: 26763 loss_ce: 0.0121 loss: 0.0121 2022/09/16 01:04:17 - mmengine - INFO - Epoch(train) [3][9000/31614] lr: 3.0000e-04 eta: 11:06:32 time: 0.3792 data_time: 0.0107 memory: 26763 loss_ce: 0.0137 loss: 0.0137 2022/09/16 01:05:04 - mmengine - INFO - Epoch(train) [3][9100/31614] lr: 3.0000e-04 eta: 11:05:46 time: 0.5219 data_time: 0.0641 memory: 26763 loss_ce: 0.0117 loss: 0.0117 2022/09/16 01:05:50 - mmengine - INFO - Epoch(train) [3][9200/31614] lr: 3.0000e-04 eta: 11:04:58 time: 0.5840 data_time: 0.0820 memory: 26763 loss_ce: 0.0104 loss: 0.0104 2022/09/16 01:06:37 - mmengine - INFO - Epoch(train) [3][9300/31614] lr: 3.0000e-04 eta: 11:04:12 time: 0.5098 data_time: 0.0181 memory: 26763 loss_ce: 0.0142 loss: 0.0142 2022/09/16 01:07:23 - mmengine - INFO - Epoch(train) [3][9400/31614] lr: 3.0000e-04 eta: 11:03:25 time: 0.3898 data_time: 0.0183 memory: 26763 loss_ce: 0.0133 loss: 0.0133 2022/09/16 01:08:10 - mmengine - INFO - Epoch(train) [3][9500/31614] lr: 3.0000e-04 eta: 11:02:38 time: 0.3829 data_time: 0.0097 memory: 26763 loss_ce: 0.0114 loss: 0.0114 2022/09/16 01:08:56 - mmengine - INFO - Epoch(train) [3][9600/31614] lr: 3.0000e-04 eta: 11:01:52 time: 0.4034 data_time: 0.0370 memory: 26763 loss_ce: 0.0098 loss: 0.0098 2022/09/16 01:09:43 - mmengine - INFO - Epoch(train) [3][9700/31614] lr: 3.0000e-04 eta: 11:01:06 time: 0.5275 data_time: 0.0428 memory: 26763 loss_ce: 0.0134 loss: 0.0134 2022/09/16 01:10:17 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 01:10:30 - mmengine - INFO - Epoch(train) [3][9800/31614] lr: 3.0000e-04 eta: 11:00:19 time: 0.5577 data_time: 0.0484 memory: 26763 loss_ce: 0.0155 loss: 0.0155 2022/09/16 01:11:16 - mmengine - INFO - Epoch(train) [3][9900/31614] lr: 3.0000e-04 eta: 10:59:32 time: 0.5104 data_time: 0.0154 memory: 26763 loss_ce: 0.0153 loss: 0.0153 2022/09/16 01:12:03 - mmengine - INFO - Epoch(train) [3][10000/31614] lr: 3.0000e-04 eta: 10:58:46 time: 0.4213 data_time: 0.0195 memory: 26763 loss_ce: 0.0132 loss: 0.0132 2022/09/16 01:12:49 - mmengine - INFO - Epoch(train) [3][10100/31614] lr: 3.0000e-04 eta: 10:57:58 time: 0.3828 data_time: 0.0098 memory: 26763 loss_ce: 0.0112 loss: 0.0112 2022/09/16 01:13:36 - mmengine - INFO - Epoch(train) [3][10200/31614] lr: 3.0000e-04 eta: 10:57:13 time: 0.3773 data_time: 0.0095 memory: 26763 loss_ce: 0.0121 loss: 0.0121 2022/09/16 01:14:24 - mmengine - INFO - Epoch(train) [3][10300/31614] lr: 3.0000e-04 eta: 10:56:28 time: 0.5441 data_time: 0.0400 memory: 26763 loss_ce: 0.0133 loss: 0.0133 2022/09/16 01:15:10 - mmengine - INFO - Epoch(train) [3][10400/31614] lr: 3.0000e-04 eta: 10:55:40 time: 0.5317 data_time: 0.0548 memory: 26763 loss_ce: 0.0095 loss: 0.0095 2022/09/16 01:15:56 - mmengine - INFO - Epoch(train) [3][10500/31614] lr: 3.0000e-04 eta: 10:54:53 time: 0.4857 data_time: 0.0174 memory: 26763 loss_ce: 0.0102 loss: 0.0102 2022/09/16 01:16:43 - mmengine - INFO - Epoch(train) [3][10600/31614] lr: 3.0000e-04 eta: 10:54:07 time: 0.3944 data_time: 0.0181 memory: 26763 loss_ce: 0.0119 loss: 0.0119 2022/09/16 01:17:28 - mmengine - INFO - Epoch(train) [3][10700/31614] lr: 3.0000e-04 eta: 10:53:19 time: 0.4002 data_time: 0.0103 memory: 26763 loss_ce: 0.0104 loss: 0.0104 2022/09/16 01:18:02 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 01:18:14 - mmengine - INFO - Epoch(train) [3][10800/31614] lr: 3.0000e-04 eta: 10:52:31 time: 0.3789 data_time: 0.0108 memory: 26763 loss_ce: 0.0138 loss: 0.0138 2022/09/16 01:19:02 - mmengine - INFO - Epoch(train) [3][10900/31614] lr: 3.0000e-04 eta: 10:51:46 time: 0.5384 data_time: 0.0600 memory: 26763 loss_ce: 0.0162 loss: 0.0162 2022/09/16 01:19:49 - mmengine - INFO - Epoch(train) [3][11000/31614] lr: 3.0000e-04 eta: 10:50:59 time: 0.5994 data_time: 0.0792 memory: 26763 loss_ce: 0.0121 loss: 0.0121 2022/09/16 01:20:35 - mmengine - INFO - Epoch(train) [3][11100/31614] lr: 3.0000e-04 eta: 10:50:12 time: 0.4639 data_time: 0.0154 memory: 26763 loss_ce: 0.0119 loss: 0.0119 2022/09/16 01:21:21 - mmengine - INFO - Epoch(train) [3][11200/31614] lr: 3.0000e-04 eta: 10:49:26 time: 0.4023 data_time: 0.0182 memory: 26763 loss_ce: 0.0126 loss: 0.0126 2022/09/16 01:22:08 - mmengine - INFO - Epoch(train) [3][11300/31614] lr: 3.0000e-04 eta: 10:48:39 time: 0.3956 data_time: 0.0125 memory: 26763 loss_ce: 0.0077 loss: 0.0077 2022/09/16 01:22:54 - mmengine - INFO - Epoch(train) [3][11400/31614] lr: 3.0000e-04 eta: 10:47:52 time: 0.3940 data_time: 0.0284 memory: 26763 loss_ce: 0.0158 loss: 0.0158 2022/09/16 01:23:42 - mmengine - INFO - Epoch(train) [3][11500/31614] lr: 3.0000e-04 eta: 10:47:07 time: 0.5273 data_time: 0.0453 memory: 26763 loss_ce: 0.0112 loss: 0.0112 2022/09/16 01:24:29 - mmengine - INFO - Epoch(train) [3][11600/31614] lr: 3.0000e-04 eta: 10:46:21 time: 0.5424 data_time: 0.0492 memory: 26763 loss_ce: 0.0121 loss: 0.0121 2022/09/16 01:25:16 - mmengine - INFO - Epoch(train) [3][11700/31614] lr: 3.0000e-04 eta: 10:45:34 time: 0.5019 data_time: 0.0158 memory: 26763 loss_ce: 0.0156 loss: 0.0156 2022/09/16 01:25:49 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 01:26:03 - mmengine - INFO - Epoch(train) [3][11800/31614] lr: 3.0000e-04 eta: 10:44:48 time: 0.4529 data_time: 0.0190 memory: 26763 loss_ce: 0.0153 loss: 0.0153 2022/09/16 01:26:49 - mmengine - INFO - Epoch(train) [3][11900/31614] lr: 3.0000e-04 eta: 10:44:01 time: 0.3816 data_time: 0.0104 memory: 26763 loss_ce: 0.0126 loss: 0.0126 2022/09/16 01:27:35 - mmengine - INFO - Epoch(train) [3][12000/31614] lr: 3.0000e-04 eta: 10:43:14 time: 0.3770 data_time: 0.0100 memory: 26763 loss_ce: 0.0099 loss: 0.0099 2022/09/16 01:28:22 - mmengine - INFO - Epoch(train) [3][12100/31614] lr: 3.0000e-04 eta: 10:42:28 time: 0.5151 data_time: 0.0422 memory: 26763 loss_ce: 0.0085 loss: 0.0085 2022/09/16 01:29:10 - mmengine - INFO - Epoch(train) [3][12200/31614] lr: 3.0000e-04 eta: 10:41:42 time: 0.5954 data_time: 0.0510 memory: 26763 loss_ce: 0.0134 loss: 0.0134 2022/09/16 01:29:56 - mmengine - INFO - Epoch(train) [3][12300/31614] lr: 3.0000e-04 eta: 10:40:56 time: 0.5074 data_time: 0.0208 memory: 26763 loss_ce: 0.0158 loss: 0.0158 2022/09/16 01:30:44 - mmengine - INFO - Epoch(train) [3][12400/31614] lr: 3.0000e-04 eta: 10:40:10 time: 0.4046 data_time: 0.0204 memory: 26763 loss_ce: 0.0147 loss: 0.0147 2022/09/16 01:31:31 - mmengine - INFO - Epoch(train) [3][12500/31614] lr: 3.0000e-04 eta: 10:39:24 time: 0.4036 data_time: 0.0097 memory: 26763 loss_ce: 0.0095 loss: 0.0095 2022/09/16 01:32:17 - mmengine - INFO - Epoch(train) [3][12600/31614] lr: 3.0000e-04 eta: 10:38:37 time: 0.3774 data_time: 0.0095 memory: 26763 loss_ce: 0.0134 loss: 0.0134 2022/09/16 01:33:05 - mmengine - INFO - Epoch(train) [3][12700/31614] lr: 3.0000e-04 eta: 10:37:51 time: 0.5313 data_time: 0.0780 memory: 26763 loss_ce: 0.0125 loss: 0.0125 2022/09/16 01:33:38 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 01:33:52 - mmengine - INFO - Epoch(train) [3][12800/31614] lr: 3.0000e-04 eta: 10:37:05 time: 0.6325 data_time: 0.0776 memory: 26763 loss_ce: 0.0126 loss: 0.0126 2022/09/16 01:34:38 - mmengine - INFO - Epoch(train) [3][12900/31614] lr: 3.0000e-04 eta: 10:36:18 time: 0.5028 data_time: 0.0163 memory: 26763 loss_ce: 0.0116 loss: 0.0116 2022/09/16 01:35:24 - mmengine - INFO - Epoch(train) [3][13000/31614] lr: 3.0000e-04 eta: 10:35:31 time: 0.4028 data_time: 0.0181 memory: 26763 loss_ce: 0.0102 loss: 0.0102 2022/09/16 01:36:10 - mmengine - INFO - Epoch(train) [3][13100/31614] lr: 3.0000e-04 eta: 10:34:44 time: 0.3858 data_time: 0.0107 memory: 26763 loss_ce: 0.0141 loss: 0.0141 2022/09/16 01:36:57 - mmengine - INFO - Epoch(train) [3][13200/31614] lr: 3.0000e-04 eta: 10:33:58 time: 0.4022 data_time: 0.0346 memory: 26763 loss_ce: 0.0111 loss: 0.0111 2022/09/16 01:37:45 - mmengine - INFO - Epoch(train) [3][13300/31614] lr: 3.0000e-04 eta: 10:33:12 time: 0.4998 data_time: 0.0412 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/16 01:38:32 - mmengine - INFO - Epoch(train) [3][13400/31614] lr: 3.0000e-04 eta: 10:32:26 time: 0.5660 data_time: 0.0495 memory: 26763 loss_ce: 0.0114 loss: 0.0114 2022/09/16 01:39:19 - mmengine - INFO - Epoch(train) [3][13500/31614] lr: 3.0000e-04 eta: 10:31:40 time: 0.5313 data_time: 0.0160 memory: 26763 loss_ce: 0.0129 loss: 0.0129 2022/09/16 01:40:05 - mmengine - INFO - Epoch(train) [3][13600/31614] lr: 3.0000e-04 eta: 10:30:53 time: 0.4431 data_time: 0.0179 memory: 26763 loss_ce: 0.0119 loss: 0.0119 2022/09/16 01:40:53 - mmengine - INFO - Epoch(train) [3][13700/31614] lr: 3.0000e-04 eta: 10:30:07 time: 0.3801 data_time: 0.0101 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/16 01:41:26 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 01:41:39 - mmengine - INFO - Epoch(train) [3][13800/31614] lr: 3.0000e-04 eta: 10:29:20 time: 0.3765 data_time: 0.0109 memory: 26763 loss_ce: 0.0148 loss: 0.0148 2022/09/16 01:42:26 - mmengine - INFO - Epoch(train) [3][13900/31614] lr: 3.0000e-04 eta: 10:28:35 time: 0.5283 data_time: 0.0381 memory: 26763 loss_ce: 0.0126 loss: 0.0126 2022/09/16 01:43:13 - mmengine - INFO - Epoch(train) [3][14000/31614] lr: 3.0000e-04 eta: 10:27:48 time: 0.5707 data_time: 0.0497 memory: 26763 loss_ce: 0.0180 loss: 0.0180 2022/09/16 01:43:59 - mmengine - INFO - Epoch(train) [3][14100/31614] lr: 3.0000e-04 eta: 10:27:01 time: 0.4719 data_time: 0.0154 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/16 01:44:46 - mmengine - INFO - Epoch(train) [3][14200/31614] lr: 3.0000e-04 eta: 10:26:14 time: 0.4029 data_time: 0.0179 memory: 26763 loss_ce: 0.0122 loss: 0.0122 2022/09/16 01:45:31 - mmengine - INFO - Epoch(train) [3][14300/31614] lr: 3.0000e-04 eta: 10:25:27 time: 0.3931 data_time: 0.0089 memory: 26763 loss_ce: 0.0143 loss: 0.0143 2022/09/16 01:46:18 - mmengine - INFO - Epoch(train) [3][14400/31614] lr: 3.0000e-04 eta: 10:24:40 time: 0.3852 data_time: 0.0091 memory: 26763 loss_ce: 0.0148 loss: 0.0148 2022/09/16 01:47:06 - mmengine - INFO - Epoch(train) [3][14500/31614] lr: 3.0000e-04 eta: 10:23:55 time: 0.5365 data_time: 0.0713 memory: 26763 loss_ce: 0.0160 loss: 0.0160 2022/09/16 01:47:53 - mmengine - INFO - Epoch(train) [3][14600/31614] lr: 3.0000e-04 eta: 10:23:08 time: 0.5850 data_time: 0.0769 memory: 26763 loss_ce: 0.0109 loss: 0.0109 2022/09/16 01:48:39 - mmengine - INFO - Epoch(train) [3][14700/31614] lr: 3.0000e-04 eta: 10:22:22 time: 0.5450 data_time: 0.0147 memory: 26763 loss_ce: 0.0116 loss: 0.0116 2022/09/16 01:49:12 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 01:49:25 - mmengine - INFO - Epoch(train) [3][14800/31614] lr: 3.0000e-04 eta: 10:21:34 time: 0.4022 data_time: 0.0170 memory: 26763 loss_ce: 0.0104 loss: 0.0104 2022/09/16 01:50:13 - mmengine - INFO - Epoch(train) [3][14900/31614] lr: 3.0000e-04 eta: 10:20:49 time: 0.3798 data_time: 0.0097 memory: 26763 loss_ce: 0.0085 loss: 0.0085 2022/09/16 01:51:02 - mmengine - INFO - Epoch(train) [3][15000/31614] lr: 3.0000e-04 eta: 10:20:05 time: 0.4717 data_time: 0.0562 memory: 26763 loss_ce: 0.0107 loss: 0.0107 2022/09/16 01:51:54 - mmengine - INFO - Epoch(train) [3][15100/31614] lr: 3.0000e-04 eta: 10:19:24 time: 0.5828 data_time: 0.0564 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/16 01:52:44 - mmengine - INFO - Epoch(train) [3][15200/31614] lr: 3.0000e-04 eta: 10:18:41 time: 0.6215 data_time: 0.0505 memory: 26763 loss_ce: 0.0153 loss: 0.0153 2022/09/16 01:53:34 - mmengine - INFO - Epoch(train) [3][15300/31614] lr: 3.0000e-04 eta: 10:17:57 time: 0.4649 data_time: 0.0128 memory: 26763 loss_ce: 0.0116 loss: 0.0116 2022/09/16 01:54:22 - mmengine - INFO - Epoch(train) [3][15400/31614] lr: 3.0000e-04 eta: 10:17:12 time: 0.4176 data_time: 0.0447 memory: 26763 loss_ce: 0.0166 loss: 0.0166 2022/09/16 01:55:10 - mmengine - INFO - Epoch(train) [3][15500/31614] lr: 3.0000e-04 eta: 10:16:27 time: 0.3942 data_time: 0.0139 memory: 26763 loss_ce: 0.0093 loss: 0.0093 2022/09/16 01:56:00 - mmengine - INFO - Epoch(train) [3][15600/31614] lr: 3.0000e-04 eta: 10:15:43 time: 0.4274 data_time: 0.0544 memory: 26763 loss_ce: 0.0109 loss: 0.0109 2022/09/16 01:56:51 - mmengine - INFO - Epoch(train) [3][15700/31614] lr: 3.0000e-04 eta: 10:15:01 time: 0.5615 data_time: 0.0498 memory: 26763 loss_ce: 0.0092 loss: 0.0092 2022/09/16 01:57:27 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 01:57:41 - mmengine - INFO - Epoch(train) [3][15800/31614] lr: 3.0000e-04 eta: 10:14:18 time: 0.6515 data_time: 0.0881 memory: 26763 loss_ce: 0.0110 loss: 0.0110 2022/09/16 01:58:30 - mmengine - INFO - Epoch(train) [3][15900/31614] lr: 3.0000e-04 eta: 10:13:34 time: 0.5266 data_time: 0.0147 memory: 26763 loss_ce: 0.0097 loss: 0.0097 2022/09/16 01:59:19 - mmengine - INFO - Epoch(train) [3][16000/31614] lr: 3.0000e-04 eta: 10:12:49 time: 0.3988 data_time: 0.0186 memory: 26763 loss_ce: 0.0120 loss: 0.0120 2022/09/16 02:00:09 - mmengine - INFO - Epoch(train) [3][16100/31614] lr: 3.0000e-04 eta: 10:12:06 time: 0.4085 data_time: 0.0114 memory: 26763 loss_ce: 0.0112 loss: 0.0112 2022/09/16 02:01:02 - mmengine - INFO - Epoch(train) [3][16200/31614] lr: 3.0000e-04 eta: 10:11:26 time: 0.5174 data_time: 0.0895 memory: 26763 loss_ce: 0.0116 loss: 0.0116 2022/09/16 02:01:54 - mmengine - INFO - Epoch(train) [3][16300/31614] lr: 3.0000e-04 eta: 10:10:44 time: 0.6407 data_time: 0.1010 memory: 26763 loss_ce: 0.0091 loss: 0.0091 2022/09/16 02:02:43 - mmengine - INFO - Epoch(train) [3][16400/31614] lr: 3.0000e-04 eta: 10:10:00 time: 0.6041 data_time: 0.0566 memory: 26763 loss_ce: 0.0099 loss: 0.0099 2022/09/16 02:03:32 - mmengine - INFO - Epoch(train) [3][16500/31614] lr: 3.0000e-04 eta: 10:09:15 time: 0.4932 data_time: 0.0126 memory: 26763 loss_ce: 0.0129 loss: 0.0129 2022/09/16 02:04:21 - mmengine - INFO - Epoch(train) [3][16600/31614] lr: 3.0000e-04 eta: 10:08:32 time: 0.3997 data_time: 0.0158 memory: 26763 loss_ce: 0.0178 loss: 0.0178 2022/09/16 02:05:11 - mmengine - INFO - Epoch(train) [3][16700/31614] lr: 3.0000e-04 eta: 10:07:48 time: 0.3946 data_time: 0.0118 memory: 26763 loss_ce: 0.0124 loss: 0.0124 2022/09/16 02:05:47 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 02:06:02 - mmengine - INFO - Epoch(train) [3][16800/31614] lr: 3.0000e-04 eta: 10:07:05 time: 0.4748 data_time: 0.0608 memory: 26763 loss_ce: 0.0156 loss: 0.0156 2022/09/16 02:06:52 - mmengine - INFO - Epoch(train) [3][16900/31614] lr: 3.0000e-04 eta: 10:06:22 time: 0.6017 data_time: 0.0472 memory: 26763 loss_ce: 0.0099 loss: 0.0099 2022/09/16 02:07:41 - mmengine - INFO - Epoch(train) [3][17000/31614] lr: 3.0000e-04 eta: 10:05:37 time: 0.6256 data_time: 0.0912 memory: 26763 loss_ce: 0.0084 loss: 0.0084 2022/09/16 02:08:30 - mmengine - INFO - Epoch(train) [3][17100/31614] lr: 3.0000e-04 eta: 10:04:53 time: 0.4867 data_time: 0.0122 memory: 26763 loss_ce: 0.0131 loss: 0.0131 2022/09/16 02:09:21 - mmengine - INFO - Epoch(train) [3][17200/31614] lr: 3.0000e-04 eta: 10:04:10 time: 0.4014 data_time: 0.0168 memory: 26763 loss_ce: 0.0115 loss: 0.0115 2022/09/16 02:10:10 - mmengine - INFO - Epoch(train) [3][17300/31614] lr: 3.0000e-04 eta: 10:03:26 time: 0.3895 data_time: 0.0104 memory: 26763 loss_ce: 0.0134 loss: 0.0134 2022/09/16 02:11:00 - mmengine - INFO - Epoch(train) [3][17400/31614] lr: 3.0000e-04 eta: 10:02:42 time: 0.4489 data_time: 0.0806 memory: 26763 loss_ce: 0.0116 loss: 0.0116 2022/09/16 02:11:51 - mmengine - INFO - Epoch(train) [3][17500/31614] lr: 3.0000e-04 eta: 10:02:00 time: 0.6772 data_time: 0.1034 memory: 26763 loss_ce: 0.0116 loss: 0.0116 2022/09/16 02:12:40 - mmengine - INFO - Epoch(train) [3][17600/31614] lr: 3.0000e-04 eta: 10:01:15 time: 0.6284 data_time: 0.0527 memory: 26763 loss_ce: 0.0129 loss: 0.0129 2022/09/16 02:13:30 - mmengine - INFO - Epoch(train) [3][17700/31614] lr: 3.0000e-04 eta: 10:00:31 time: 0.5114 data_time: 0.0144 memory: 26763 loss_ce: 0.0111 loss: 0.0111 2022/09/16 02:14:07 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 02:14:20 - mmengine - INFO - Epoch(train) [3][17800/31614] lr: 3.0000e-04 eta: 9:59:48 time: 0.4051 data_time: 0.0181 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/16 02:15:09 - mmengine - INFO - Epoch(train) [3][17900/31614] lr: 3.0000e-04 eta: 9:59:03 time: 0.3852 data_time: 0.0112 memory: 26763 loss_ce: 0.0100 loss: 0.0100 2022/09/16 02:15:58 - mmengine - INFO - Epoch(train) [3][18000/31614] lr: 3.0000e-04 eta: 9:58:19 time: 0.4350 data_time: 0.0586 memory: 26763 loss_ce: 0.0129 loss: 0.0129 2022/09/16 02:16:48 - mmengine - INFO - Epoch(train) [3][18100/31614] lr: 3.0000e-04 eta: 9:57:36 time: 0.6179 data_time: 0.0650 memory: 26763 loss_ce: 0.0115 loss: 0.0115 2022/09/16 02:17:39 - mmengine - INFO - Epoch(train) [3][18200/31614] lr: 3.0000e-04 eta: 9:56:52 time: 0.6508 data_time: 0.1043 memory: 26763 loss_ce: 0.0077 loss: 0.0077 2022/09/16 02:18:28 - mmengine - INFO - Epoch(train) [3][18300/31614] lr: 3.0000e-04 eta: 9:56:08 time: 0.4768 data_time: 0.0267 memory: 26763 loss_ce: 0.0148 loss: 0.0148 2022/09/16 02:19:17 - mmengine - INFO - Epoch(train) [3][18400/31614] lr: 3.0000e-04 eta: 9:55:23 time: 0.4203 data_time: 0.0031 memory: 26763 loss_ce: 0.0112 loss: 0.0112 2022/09/16 02:20:05 - mmengine - INFO - Epoch(train) [3][18500/31614] lr: 3.0000e-04 eta: 9:54:38 time: 0.3895 data_time: 0.0026 memory: 26763 loss_ce: 0.0097 loss: 0.0097 2022/09/16 02:20:54 - mmengine - INFO - Epoch(train) [3][18600/31614] lr: 3.0000e-04 eta: 9:53:53 time: 0.4272 data_time: 0.0425 memory: 26763 loss_ce: 0.0106 loss: 0.0106 2022/09/16 02:21:45 - mmengine - INFO - Epoch(train) [3][18700/31614] lr: 3.0000e-04 eta: 9:53:10 time: 0.6272 data_time: 0.0466 memory: 26763 loss_ce: 0.0119 loss: 0.0119 2022/09/16 02:22:21 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 02:22:35 - mmengine - INFO - Epoch(train) [3][18800/31614] lr: 3.0000e-04 eta: 9:52:27 time: 0.6921 data_time: 0.0980 memory: 26763 loss_ce: 0.0113 loss: 0.0113 2022/09/16 02:23:24 - mmengine - INFO - Epoch(train) [3][18900/31614] lr: 3.0000e-04 eta: 9:51:42 time: 0.4671 data_time: 0.0220 memory: 26763 loss_ce: 0.0153 loss: 0.0153 2022/09/16 02:24:12 - mmengine - INFO - Epoch(train) [3][19000/31614] lr: 3.0000e-04 eta: 9:50:56 time: 0.3890 data_time: 0.0037 memory: 26763 loss_ce: 0.0118 loss: 0.0118 2022/09/16 02:25:02 - mmengine - INFO - Epoch(train) [3][19100/31614] lr: 3.0000e-04 eta: 9:50:13 time: 0.4011 data_time: 0.0028 memory: 26763 loss_ce: 0.0129 loss: 0.0129 2022/09/16 02:25:53 - mmengine - INFO - Epoch(train) [3][19200/31614] lr: 3.0000e-04 eta: 9:49:29 time: 0.4294 data_time: 0.0432 memory: 26763 loss_ce: 0.0101 loss: 0.0101 2022/09/16 02:26:45 - mmengine - INFO - Epoch(train) [3][19300/31614] lr: 3.0000e-04 eta: 9:48:48 time: 0.6973 data_time: 0.0744 memory: 26763 loss_ce: 0.0085 loss: 0.0085 2022/09/16 02:27:34 - mmengine - INFO - Epoch(train) [3][19400/31614] lr: 3.0000e-04 eta: 9:48:03 time: 0.6124 data_time: 0.0891 memory: 26763 loss_ce: 0.0128 loss: 0.0128 2022/09/16 02:28:23 - mmengine - INFO - Epoch(train) [3][19500/31614] lr: 3.0000e-04 eta: 9:47:18 time: 0.4825 data_time: 0.0204 memory: 26763 loss_ce: 0.0131 loss: 0.0131 2022/09/16 02:29:13 - mmengine - INFO - Epoch(train) [3][19600/31614] lr: 3.0000e-04 eta: 9:46:34 time: 0.4345 data_time: 0.0026 memory: 26763 loss_ce: 0.0102 loss: 0.0102 2022/09/16 02:30:04 - mmengine - INFO - Epoch(train) [3][19700/31614] lr: 3.0000e-04 eta: 9:45:51 time: 0.4454 data_time: 0.0027 memory: 26763 loss_ce: 0.0093 loss: 0.0093 2022/09/16 02:30:39 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 02:30:54 - mmengine - INFO - Epoch(train) [3][19800/31614] lr: 3.0000e-04 eta: 9:45:07 time: 0.4573 data_time: 0.0771 memory: 26763 loss_ce: 0.0110 loss: 0.0110 2022/09/16 02:31:45 - mmengine - INFO - Epoch(train) [3][19900/31614] lr: 3.0000e-04 eta: 9:44:24 time: 0.6185 data_time: 0.0772 memory: 26763 loss_ce: 0.0106 loss: 0.0106 2022/09/16 02:32:34 - mmengine - INFO - Epoch(train) [3][20000/31614] lr: 3.0000e-04 eta: 9:43:40 time: 0.6332 data_time: 0.0594 memory: 26763 loss_ce: 0.0128 loss: 0.0128 2022/09/16 02:33:24 - mmengine - INFO - Epoch(train) [3][20100/31614] lr: 3.0000e-04 eta: 9:42:56 time: 0.5395 data_time: 0.0634 memory: 26763 loss_ce: 0.0096 loss: 0.0096 2022/09/16 02:34:14 - mmengine - INFO - Epoch(train) [3][20200/31614] lr: 3.0000e-04 eta: 9:42:11 time: 0.4032 data_time: 0.0029 memory: 26763 loss_ce: 0.0138 loss: 0.0138 2022/09/16 02:35:04 - mmengine - INFO - Epoch(train) [3][20300/31614] lr: 3.0000e-04 eta: 9:41:27 time: 0.4020 data_time: 0.0029 memory: 26763 loss_ce: 0.0114 loss: 0.0114 2022/09/16 02:35:54 - mmengine - INFO - Epoch(train) [3][20400/31614] lr: 3.0000e-04 eta: 9:40:43 time: 0.4610 data_time: 0.0760 memory: 26763 loss_ce: 0.0131 loss: 0.0131 2022/09/16 02:36:44 - mmengine - INFO - Epoch(train) [3][20500/31614] lr: 3.0000e-04 eta: 9:40:00 time: 0.6679 data_time: 0.0404 memory: 26763 loss_ce: 0.0117 loss: 0.0117 2022/09/16 02:37:34 - mmengine - INFO - Epoch(train) [3][20600/31614] lr: 3.0000e-04 eta: 9:39:16 time: 0.6514 data_time: 0.0878 memory: 26763 loss_ce: 0.0125 loss: 0.0125 2022/09/16 02:38:24 - mmengine - INFO - Epoch(train) [3][20700/31614] lr: 3.0000e-04 eta: 9:38:32 time: 0.4939 data_time: 0.0206 memory: 26763 loss_ce: 0.0122 loss: 0.0122 2022/09/16 02:39:01 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 02:39:14 - mmengine - INFO - Epoch(train) [3][20800/31614] lr: 3.0000e-04 eta: 9:37:48 time: 0.4025 data_time: 0.0026 memory: 26763 loss_ce: 0.0135 loss: 0.0135 2022/09/16 02:40:04 - mmengine - INFO - Epoch(train) [3][20900/31614] lr: 3.0000e-04 eta: 9:37:04 time: 0.4225 data_time: 0.0025 memory: 26763 loss_ce: 0.0131 loss: 0.0131 2022/09/16 02:40:53 - mmengine - INFO - Epoch(train) [3][21000/31614] lr: 3.0000e-04 eta: 9:36:18 time: 0.4473 data_time: 0.0515 memory: 26763 loss_ce: 0.0134 loss: 0.0134 2022/09/16 02:41:44 - mmengine - INFO - Epoch(train) [3][21100/31614] lr: 3.0000e-04 eta: 9:35:35 time: 0.5805 data_time: 0.0380 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/16 02:42:34 - mmengine - INFO - Epoch(train) [3][21200/31614] lr: 3.0000e-04 eta: 9:34:51 time: 0.6506 data_time: 0.0920 memory: 26763 loss_ce: 0.0100 loss: 0.0100 2022/09/16 02:43:24 - mmengine - INFO - Epoch(train) [3][21300/31614] lr: 3.0000e-04 eta: 9:34:07 time: 0.4792 data_time: 0.0261 memory: 26763 loss_ce: 0.0099 loss: 0.0099 2022/09/16 02:44:13 - mmengine - INFO - Epoch(train) [3][21400/31614] lr: 3.0000e-04 eta: 9:33:22 time: 0.4233 data_time: 0.0025 memory: 26763 loss_ce: 0.0077 loss: 0.0077 2022/09/16 02:45:02 - mmengine - INFO - Epoch(train) [3][21500/31614] lr: 3.0000e-04 eta: 9:32:37 time: 0.3908 data_time: 0.0026 memory: 26763 loss_ce: 0.0115 loss: 0.0115 2022/09/16 02:45:51 - mmengine - INFO - Epoch(train) [3][21600/31614] lr: 3.0000e-04 eta: 9:31:53 time: 0.4374 data_time: 0.0451 memory: 26763 loss_ce: 0.0119 loss: 0.0119 2022/09/16 02:46:43 - mmengine - INFO - Epoch(train) [3][21700/31614] lr: 3.0000e-04 eta: 9:31:10 time: 0.6374 data_time: 0.0766 memory: 26763 loss_ce: 0.0126 loss: 0.0126 2022/09/16 02:47:20 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 02:47:34 - mmengine - INFO - Epoch(train) [3][21800/31614] lr: 3.0000e-04 eta: 9:30:26 time: 0.6020 data_time: 0.0988 memory: 26763 loss_ce: 0.0100 loss: 0.0100 2022/09/16 02:48:24 - mmengine - INFO - Epoch(train) [3][21900/31614] lr: 3.0000e-04 eta: 9:29:42 time: 0.5020 data_time: 0.0225 memory: 26763 loss_ce: 0.0129 loss: 0.0129 2022/09/16 02:49:12 - mmengine - INFO - Epoch(train) [3][22000/31614] lr: 3.0000e-04 eta: 9:28:57 time: 0.4011 data_time: 0.0033 memory: 26763 loss_ce: 0.0125 loss: 0.0125 2022/09/16 02:50:02 - mmengine - INFO - Epoch(train) [3][22100/31614] lr: 3.0000e-04 eta: 9:28:12 time: 0.3988 data_time: 0.0038 memory: 26763 loss_ce: 0.0128 loss: 0.0128 2022/09/16 02:50:52 - mmengine - INFO - Epoch(train) [3][22200/31614] lr: 3.0000e-04 eta: 9:27:28 time: 0.5073 data_time: 0.0835 memory: 26763 loss_ce: 0.0116 loss: 0.0116 2022/09/16 02:51:43 - mmengine - INFO - Epoch(train) [3][22300/31614] lr: 3.0000e-04 eta: 9:26:44 time: 0.5638 data_time: 0.0610 memory: 26763 loss_ce: 0.0101 loss: 0.0101 2022/09/16 02:52:32 - mmengine - INFO - Epoch(train) [3][22400/31614] lr: 3.0000e-04 eta: 9:25:59 time: 0.5285 data_time: 0.0578 memory: 26763 loss_ce: 0.0101 loss: 0.0101 2022/09/16 02:53:20 - mmengine - INFO - Epoch(train) [3][22500/31614] lr: 3.0000e-04 eta: 9:25:14 time: 0.5155 data_time: 0.0229 memory: 26763 loss_ce: 0.0098 loss: 0.0098 2022/09/16 02:54:09 - mmengine - INFO - Epoch(train) [3][22600/31614] lr: 3.0000e-04 eta: 9:24:28 time: 0.4010 data_time: 0.0028 memory: 26763 loss_ce: 0.0142 loss: 0.0142 2022/09/16 02:54:58 - mmengine - INFO - Epoch(train) [3][22700/31614] lr: 3.0000e-04 eta: 9:23:43 time: 0.4064 data_time: 0.0049 memory: 26763 loss_ce: 0.0128 loss: 0.0128 2022/09/16 02:55:33 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 02:55:47 - mmengine - INFO - Epoch(train) [3][22800/31614] lr: 3.0000e-04 eta: 9:22:58 time: 0.5172 data_time: 0.0706 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/16 02:56:37 - mmengine - INFO - Epoch(train) [3][22900/31614] lr: 3.0000e-04 eta: 9:22:13 time: 0.5328 data_time: 0.0361 memory: 26763 loss_ce: 0.0117 loss: 0.0117 2022/09/16 02:57:24 - mmengine - INFO - Epoch(train) [3][23000/31614] lr: 3.0000e-04 eta: 9:21:27 time: 0.5212 data_time: 0.0636 memory: 26763 loss_ce: 0.0113 loss: 0.0113 2022/09/16 02:58:13 - mmengine - INFO - Epoch(train) [3][23100/31614] lr: 3.0000e-04 eta: 9:20:42 time: 0.4794 data_time: 0.0236 memory: 26763 loss_ce: 0.0147 loss: 0.0147 2022/09/16 02:59:02 - mmengine - INFO - Epoch(train) [3][23200/31614] lr: 3.0000e-04 eta: 9:19:57 time: 0.4047 data_time: 0.0035 memory: 26763 loss_ce: 0.0099 loss: 0.0099 2022/09/16 02:59:51 - mmengine - INFO - Epoch(train) [3][23300/31614] lr: 3.0000e-04 eta: 9:19:11 time: 0.3939 data_time: 0.0040 memory: 26763 loss_ce: 0.0104 loss: 0.0104 2022/09/16 03:00:40 - mmengine - INFO - Epoch(train) [3][23400/31614] lr: 3.0000e-04 eta: 9:18:26 time: 0.4440 data_time: 0.0422 memory: 26763 loss_ce: 0.0133 loss: 0.0133 2022/09/16 03:01:29 - mmengine - INFO - Epoch(train) [3][23500/31614] lr: 3.0000e-04 eta: 9:17:41 time: 0.5855 data_time: 0.0469 memory: 26763 loss_ce: 0.0124 loss: 0.0124 2022/09/16 03:02:18 - mmengine - INFO - Epoch(train) [3][23600/31614] lr: 3.0000e-04 eta: 9:16:55 time: 0.5638 data_time: 0.0877 memory: 26763 loss_ce: 0.0095 loss: 0.0095 2022/09/16 03:03:06 - mmengine - INFO - Epoch(train) [3][23700/31614] lr: 3.0000e-04 eta: 9:16:10 time: 0.4914 data_time: 0.0251 memory: 26763 loss_ce: 0.0102 loss: 0.0102 2022/09/16 03:03:44 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 03:03:57 - mmengine - INFO - Epoch(train) [3][23800/31614] lr: 3.0000e-04 eta: 9:15:26 time: 0.4027 data_time: 0.0027 memory: 26763 loss_ce: 0.0120 loss: 0.0120 2022/09/16 03:04:47 - mmengine - INFO - Epoch(train) [3][23900/31614] lr: 3.0000e-04 eta: 9:14:41 time: 0.3916 data_time: 0.0030 memory: 26763 loss_ce: 0.0115 loss: 0.0115 2022/09/16 03:05:35 - mmengine - INFO - Epoch(train) [3][24000/31614] lr: 3.0000e-04 eta: 9:13:56 time: 0.4563 data_time: 0.0417 memory: 26763 loss_ce: 0.0111 loss: 0.0111 2022/09/16 03:06:26 - mmengine - INFO - Epoch(train) [3][24100/31614] lr: 3.0000e-04 eta: 9:13:12 time: 0.6309 data_time: 0.1060 memory: 26763 loss_ce: 0.0092 loss: 0.0092 2022/09/16 03:07:15 - mmengine - INFO - Epoch(train) [3][24200/31614] lr: 3.0000e-04 eta: 9:12:27 time: 0.5797 data_time: 0.0832 memory: 26763 loss_ce: 0.0119 loss: 0.0119 2022/09/16 03:08:04 - mmengine - INFO - Epoch(train) [3][24300/31614] lr: 3.0000e-04 eta: 9:11:41 time: 0.5164 data_time: 0.0026 memory: 26763 loss_ce: 0.0113 loss: 0.0113 2022/09/16 03:08:53 - mmengine - INFO - Epoch(train) [3][24400/31614] lr: 3.0000e-04 eta: 9:10:56 time: 0.3936 data_time: 0.0023 memory: 26763 loss_ce: 0.0111 loss: 0.0111 2022/09/16 03:09:41 - mmengine - INFO - Epoch(train) [3][24500/31614] lr: 3.0000e-04 eta: 9:10:10 time: 0.5103 data_time: 0.0025 memory: 26763 loss_ce: 0.0089 loss: 0.0089 2022/09/16 03:10:31 - mmengine - INFO - Epoch(train) [3][24600/31614] lr: 3.0000e-04 eta: 9:09:26 time: 0.4518 data_time: 0.0488 memory: 26763 loss_ce: 0.0092 loss: 0.0092 2022/09/16 03:11:22 - mmengine - INFO - Epoch(train) [3][24700/31614] lr: 3.0000e-04 eta: 9:08:42 time: 0.5906 data_time: 0.1097 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/16 03:11:57 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 03:12:11 - mmengine - INFO - Epoch(train) [3][24800/31614] lr: 3.0000e-04 eta: 9:07:56 time: 0.5837 data_time: 0.0626 memory: 26763 loss_ce: 0.0085 loss: 0.0085 2022/09/16 03:13:00 - mmengine - INFO - Epoch(train) [3][24900/31614] lr: 3.0000e-04 eta: 9:07:11 time: 0.5027 data_time: 0.0023 memory: 26763 loss_ce: 0.0128 loss: 0.0128 2022/09/16 03:13:47 - mmengine - INFO - Epoch(train) [3][25000/31614] lr: 3.0000e-04 eta: 9:06:25 time: 0.3974 data_time: 0.0025 memory: 26763 loss_ce: 0.0094 loss: 0.0094 2022/09/16 03:14:37 - mmengine - INFO - Epoch(train) [3][25100/31614] lr: 3.0000e-04 eta: 9:05:39 time: 0.3961 data_time: 0.0027 memory: 26763 loss_ce: 0.0140 loss: 0.0140 2022/09/16 03:15:27 - mmengine - INFO - Epoch(train) [3][25200/31614] lr: 3.0000e-04 eta: 9:04:55 time: 0.5120 data_time: 0.1048 memory: 26763 loss_ce: 0.0140 loss: 0.0140 2022/09/16 03:16:17 - mmengine - INFO - Epoch(train) [3][25300/31614] lr: 3.0000e-04 eta: 9:04:11 time: 0.5816 data_time: 0.1065 memory: 26763 loss_ce: 0.0087 loss: 0.0087 2022/09/16 03:17:07 - mmengine - INFO - Epoch(train) [3][25400/31614] lr: 3.0000e-04 eta: 9:03:26 time: 0.5852 data_time: 0.0590 memory: 26763 loss_ce: 0.0118 loss: 0.0118 2022/09/16 03:17:55 - mmengine - INFO - Epoch(train) [3][25500/31614] lr: 3.0000e-04 eta: 9:02:40 time: 0.5247 data_time: 0.0024 memory: 26763 loss_ce: 0.0137 loss: 0.0137 2022/09/16 03:18:44 - mmengine - INFO - Epoch(train) [3][25600/31614] lr: 3.0000e-04 eta: 9:01:55 time: 0.4055 data_time: 0.0026 memory: 26763 loss_ce: 0.0097 loss: 0.0097 2022/09/16 03:19:33 - mmengine - INFO - Epoch(train) [3][25700/31614] lr: 3.0000e-04 eta: 9:01:09 time: 0.4005 data_time: 0.0041 memory: 26763 loss_ce: 0.0090 loss: 0.0090 2022/09/16 03:20:09 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 03:20:23 - mmengine - INFO - Epoch(train) [3][25800/31614] lr: 3.0000e-04 eta: 9:00:24 time: 0.4938 data_time: 0.0886 memory: 26763 loss_ce: 0.0096 loss: 0.0096 2022/09/16 03:21:14 - mmengine - INFO - Epoch(train) [3][25900/31614] lr: 3.0000e-04 eta: 8:59:41 time: 0.6836 data_time: 0.1390 memory: 26763 loss_ce: 0.0099 loss: 0.0099 2022/09/16 03:22:02 - mmengine - INFO - Epoch(train) [3][26000/31614] lr: 3.0000e-04 eta: 8:58:55 time: 0.5449 data_time: 0.0552 memory: 26763 loss_ce: 0.0100 loss: 0.0100 2022/09/16 03:22:51 - mmengine - INFO - Epoch(train) [3][26100/31614] lr: 3.0000e-04 eta: 8:58:09 time: 0.4728 data_time: 0.0026 memory: 26763 loss_ce: 0.0099 loss: 0.0099 2022/09/16 03:23:39 - mmengine - INFO - Epoch(train) [3][26200/31614] lr: 3.0000e-04 eta: 8:57:23 time: 0.4011 data_time: 0.0033 memory: 26763 loss_ce: 0.0113 loss: 0.0113 2022/09/16 03:24:29 - mmengine - INFO - Epoch(train) [3][26300/31614] lr: 3.0000e-04 eta: 8:56:38 time: 0.3995 data_time: 0.0030 memory: 26763 loss_ce: 0.0099 loss: 0.0099 2022/09/16 03:25:20 - mmengine - INFO - Epoch(train) [3][26400/31614] lr: 3.0000e-04 eta: 8:55:54 time: 0.5329 data_time: 0.0923 memory: 26763 loss_ce: 0.0105 loss: 0.0105 2022/09/16 03:26:09 - mmengine - INFO - Epoch(train) [3][26500/31614] lr: 3.0000e-04 eta: 8:55:09 time: 0.5898 data_time: 0.0915 memory: 26763 loss_ce: 0.0088 loss: 0.0088 2022/09/16 03:26:58 - mmengine - INFO - Epoch(train) [3][26600/31614] lr: 3.0000e-04 eta: 8:54:23 time: 0.5554 data_time: 0.0565 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/16 03:27:47 - mmengine - INFO - Epoch(train) [3][26700/31614] lr: 3.0000e-04 eta: 8:53:38 time: 0.4780 data_time: 0.0028 memory: 26763 loss_ce: 0.0109 loss: 0.0109 2022/09/16 03:28:23 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 03:28:37 - mmengine - INFO - Epoch(train) [3][26800/31614] lr: 3.0000e-04 eta: 8:52:53 time: 0.4079 data_time: 0.0035 memory: 26763 loss_ce: 0.0101 loss: 0.0101 2022/09/16 03:29:26 - mmengine - INFO - Epoch(train) [3][26900/31614] lr: 3.0000e-04 eta: 8:52:07 time: 0.4009 data_time: 0.0029 memory: 26763 loss_ce: 0.0118 loss: 0.0118 2022/09/16 03:30:15 - mmengine - INFO - Epoch(train) [3][27000/31614] lr: 3.0000e-04 eta: 8:51:22 time: 0.4862 data_time: 0.0475 memory: 26763 loss_ce: 0.0102 loss: 0.0102 2022/09/16 03:31:05 - mmengine - INFO - Epoch(train) [3][27100/31614] lr: 3.0000e-04 eta: 8:50:37 time: 0.6037 data_time: 0.1031 memory: 26763 loss_ce: 0.0123 loss: 0.0123 2022/09/16 03:31:54 - mmengine - INFO - Epoch(train) [3][27200/31614] lr: 3.0000e-04 eta: 8:49:51 time: 0.5219 data_time: 0.0532 memory: 26763 loss_ce: 0.0093 loss: 0.0093 2022/09/16 03:32:44 - mmengine - INFO - Epoch(train) [3][27300/31614] lr: 3.0000e-04 eta: 8:49:07 time: 0.5033 data_time: 0.0032 memory: 26763 loss_ce: 0.0117 loss: 0.0117 2022/09/16 03:33:34 - mmengine - INFO - Epoch(train) [3][27400/31614] lr: 3.0000e-04 eta: 8:48:22 time: 0.4060 data_time: 0.0028 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/16 03:34:22 - mmengine - INFO - Epoch(train) [3][27500/31614] lr: 3.0000e-04 eta: 8:47:36 time: 0.3933 data_time: 0.0025 memory: 26763 loss_ce: 0.0147 loss: 0.0147 2022/09/16 03:35:11 - mmengine - INFO - Epoch(train) [3][27600/31614] lr: 3.0000e-04 eta: 8:46:50 time: 0.4771 data_time: 0.0541 memory: 26763 loss_ce: 0.0132 loss: 0.0132 2022/09/16 03:36:03 - mmengine - INFO - Epoch(train) [3][27700/31614] lr: 3.0000e-04 eta: 8:46:07 time: 0.6409 data_time: 0.1002 memory: 26763 loss_ce: 0.0132 loss: 0.0132 2022/09/16 03:36:40 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 03:36:53 - mmengine - INFO - Epoch(train) [3][27800/31614] lr: 3.0000e-04 eta: 8:45:22 time: 0.5615 data_time: 0.0984 memory: 26763 loss_ce: 0.0119 loss: 0.0119 2022/09/16 03:37:42 - mmengine - INFO - Epoch(train) [3][27900/31614] lr: 3.0000e-04 eta: 8:44:36 time: 0.4275 data_time: 0.0031 memory: 26763 loss_ce: 0.0113 loss: 0.0113 2022/09/16 03:38:30 - mmengine - INFO - Epoch(train) [3][28000/31614] lr: 3.0000e-04 eta: 8:43:50 time: 0.4272 data_time: 0.0024 memory: 26763 loss_ce: 0.0109 loss: 0.0109 2022/09/16 03:39:18 - mmengine - INFO - Epoch(train) [3][28100/31614] lr: 3.0000e-04 eta: 8:43:04 time: 0.3986 data_time: 0.0028 memory: 26763 loss_ce: 0.0116 loss: 0.0116 2022/09/16 03:40:08 - mmengine - INFO - Epoch(train) [3][28200/31614] lr: 3.0000e-04 eta: 8:42:19 time: 0.4666 data_time: 0.0639 memory: 26763 loss_ce: 0.0107 loss: 0.0107 2022/09/16 03:40:58 - mmengine - INFO - Epoch(train) [3][28300/31614] lr: 3.0000e-04 eta: 8:41:34 time: 0.6481 data_time: 0.0946 memory: 26763 loss_ce: 0.0123 loss: 0.0123 2022/09/16 03:41:47 - mmengine - INFO - Epoch(train) [3][28400/31614] lr: 3.0000e-04 eta: 8:40:49 time: 0.5733 data_time: 0.0566 memory: 26763 loss_ce: 0.0090 loss: 0.0090 2022/09/16 03:42:34 - mmengine - INFO - Epoch(train) [3][28500/31614] lr: 3.0000e-04 eta: 8:40:02 time: 0.4179 data_time: 0.0032 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/16 03:43:22 - mmengine - INFO - Epoch(train) [3][28600/31614] lr: 3.0000e-04 eta: 8:39:15 time: 0.4338 data_time: 0.0026 memory: 26763 loss_ce: 0.0094 loss: 0.0094 2022/09/16 03:44:11 - mmengine - INFO - Epoch(train) [3][28700/31614] lr: 3.0000e-04 eta: 8:38:29 time: 0.3964 data_time: 0.0026 memory: 26763 loss_ce: 0.0107 loss: 0.0107 2022/09/16 03:44:46 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 03:45:01 - mmengine - INFO - Epoch(train) [3][28800/31614] lr: 3.0000e-04 eta: 8:37:45 time: 0.4584 data_time: 0.0524 memory: 26763 loss_ce: 0.0128 loss: 0.0128 2022/09/16 03:45:52 - mmengine - INFO - Epoch(train) [3][28900/31614] lr: 3.0000e-04 eta: 8:37:00 time: 0.6160 data_time: 0.0956 memory: 26763 loss_ce: 0.0128 loss: 0.0128 2022/09/16 03:46:39 - mmengine - INFO - Epoch(train) [3][29000/31614] lr: 3.0000e-04 eta: 8:36:13 time: 0.5368 data_time: 0.0523 memory: 26763 loss_ce: 0.0107 loss: 0.0107 2022/09/16 03:47:26 - mmengine - INFO - Epoch(train) [3][29100/31614] lr: 3.0000e-04 eta: 8:35:26 time: 0.4288 data_time: 0.0028 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/16 03:48:15 - mmengine - INFO - Epoch(train) [3][29200/31614] lr: 3.0000e-04 eta: 8:34:40 time: 0.4042 data_time: 0.0029 memory: 26763 loss_ce: 0.0119 loss: 0.0119 2022/09/16 03:49:05 - mmengine - INFO - Epoch(train) [3][29300/31614] lr: 3.0000e-04 eta: 8:33:55 time: 0.4314 data_time: 0.0029 memory: 26763 loss_ce: 0.0142 loss: 0.0142 2022/09/16 03:49:54 - mmengine - INFO - Epoch(train) [3][29400/31614] lr: 3.0000e-04 eta: 8:33:10 time: 0.4503 data_time: 0.0547 memory: 26763 loss_ce: 0.0123 loss: 0.0123 2022/09/16 03:50:43 - mmengine - INFO - Epoch(train) [3][29500/31614] lr: 3.0000e-04 eta: 8:32:24 time: 0.5885 data_time: 0.0586 memory: 26763 loss_ce: 0.0122 loss: 0.0122 2022/09/16 03:51:31 - mmengine - INFO - Epoch(train) [3][29600/31614] lr: 3.0000e-04 eta: 8:31:38 time: 0.6237 data_time: 0.0854 memory: 26763 loss_ce: 0.0134 loss: 0.0134 2022/09/16 03:52:19 - mmengine - INFO - Epoch(train) [3][29700/31614] lr: 3.0000e-04 eta: 8:30:51 time: 0.4293 data_time: 0.0031 memory: 26763 loss_ce: 0.0128 loss: 0.0128 2022/09/16 03:52:54 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 03:53:07 - mmengine - INFO - Epoch(train) [3][29800/31614] lr: 3.0000e-04 eta: 8:30:05 time: 0.4025 data_time: 0.0027 memory: 26763 loss_ce: 0.0113 loss: 0.0113 2022/09/16 03:53:57 - mmengine - INFO - Epoch(train) [3][29900/31614] lr: 3.0000e-04 eta: 8:29:19 time: 0.4253 data_time: 0.0056 memory: 26763 loss_ce: 0.0114 loss: 0.0114 2022/09/16 03:54:46 - mmengine - INFO - Epoch(train) [3][30000/31614] lr: 3.0000e-04 eta: 8:28:34 time: 0.4614 data_time: 0.0495 memory: 26763 loss_ce: 0.0120 loss: 0.0120 2022/09/16 03:55:33 - mmengine - INFO - Epoch(train) [3][30100/31614] lr: 3.0000e-04 eta: 8:27:47 time: 0.5426 data_time: 0.0927 memory: 26763 loss_ce: 0.0144 loss: 0.0144 2022/09/16 03:56:22 - mmengine - INFO - Epoch(train) [3][30200/31614] lr: 3.0000e-04 eta: 8:27:01 time: 0.5837 data_time: 0.0892 memory: 26763 loss_ce: 0.0129 loss: 0.0129 2022/09/16 03:57:11 - mmengine - INFO - Epoch(train) [3][30300/31614] lr: 3.0000e-04 eta: 8:26:16 time: 0.4862 data_time: 0.0034 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/16 03:58:00 - mmengine - INFO - Epoch(train) [3][30400/31614] lr: 3.0000e-04 eta: 8:25:30 time: 0.4205 data_time: 0.0035 memory: 26763 loss_ce: 0.0117 loss: 0.0117 2022/09/16 03:58:48 - mmengine - INFO - Epoch(train) [3][30500/31614] lr: 3.0000e-04 eta: 8:24:43 time: 0.3874 data_time: 0.0059 memory: 26763 loss_ce: 0.0131 loss: 0.0131 2022/09/16 03:59:37 - mmengine - INFO - Epoch(train) [3][30600/31614] lr: 3.0000e-04 eta: 8:23:57 time: 0.4393 data_time: 0.0509 memory: 26763 loss_ce: 0.0112 loss: 0.0112 2022/09/16 04:00:25 - mmengine - INFO - Epoch(train) [3][30700/31614] lr: 3.0000e-04 eta: 8:23:11 time: 0.5898 data_time: 0.1050 memory: 26763 loss_ce: 0.0142 loss: 0.0142 2022/09/16 04:01:01 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 04:01:14 - mmengine - INFO - Epoch(train) [3][30800/31614] lr: 3.0000e-04 eta: 8:22:25 time: 0.5982 data_time: 0.0572 memory: 26763 loss_ce: 0.0083 loss: 0.0083 2022/09/16 04:02:03 - mmengine - INFO - Epoch(train) [3][30900/31614] lr: 3.0000e-04 eta: 8:21:39 time: 0.4381 data_time: 0.0030 memory: 26763 loss_ce: 0.0125 loss: 0.0125 2022/09/16 04:02:51 - mmengine - INFO - Epoch(train) [3][31000/31614] lr: 3.0000e-04 eta: 8:20:53 time: 0.4094 data_time: 0.0028 memory: 26763 loss_ce: 0.0130 loss: 0.0130 2022/09/16 04:03:39 - mmengine - INFO - Epoch(train) [3][31100/31614] lr: 3.0000e-04 eta: 8:20:07 time: 0.3907 data_time: 0.0056 memory: 26763 loss_ce: 0.0112 loss: 0.0112 2022/09/16 04:04:29 - mmengine - INFO - Epoch(train) [3][31200/31614] lr: 3.0000e-04 eta: 8:19:21 time: 0.4478 data_time: 0.0528 memory: 26763 loss_ce: 0.0142 loss: 0.0142 2022/09/16 04:05:17 - mmengine - INFO - Epoch(train) [3][31300/31614] lr: 3.0000e-04 eta: 8:18:35 time: 0.5827 data_time: 0.1068 memory: 26763 loss_ce: 0.0104 loss: 0.0104 2022/09/16 04:06:06 - mmengine - INFO - Epoch(train) [3][31400/31614] lr: 3.0000e-04 eta: 8:17:49 time: 0.5608 data_time: 0.0531 memory: 26763 loss_ce: 0.0093 loss: 0.0093 2022/09/16 04:06:56 - mmengine - INFO - Epoch(train) [3][31500/31614] lr: 3.0000e-04 eta: 8:17:04 time: 0.4618 data_time: 0.0029 memory: 26763 loss_ce: 0.0127 loss: 0.0127 2022/09/16 04:07:43 - mmengine - INFO - Epoch(train) [3][31600/31614] lr: 3.0000e-04 eta: 8:16:17 time: 0.3977 data_time: 0.0025 memory: 26763 loss_ce: 0.0122 loss: 0.0122 2022/09/16 04:07:49 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 04:07:49 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/09/16 04:09:08 - mmengine - INFO - Epoch(val) [3][100/1918] eta: 0:06:08 time: 0.2027 data_time: 0.0008 memory: 26763 2022/09/16 04:09:28 - mmengine - INFO - Epoch(val) [3][200/1918] eta: 0:05:24 time: 0.1888 data_time: 0.0008 memory: 1275 2022/09/16 04:09:47 - mmengine - INFO - Epoch(val) [3][300/1918] eta: 0:05:30 time: 0.2042 data_time: 0.0008 memory: 1275 2022/09/16 04:10:06 - mmengine - INFO - Epoch(val) [3][400/1918] eta: 0:04:44 time: 0.1874 data_time: 0.0008 memory: 1275 2022/09/16 04:10:26 - mmengine - INFO - Epoch(val) [3][500/1918] eta: 0:04:27 time: 0.1883 data_time: 0.0011 memory: 1275 2022/09/16 04:10:45 - mmengine - INFO - Epoch(val) [3][600/1918] eta: 0:04:10 time: 0.1898 data_time: 0.0008 memory: 1275 2022/09/16 04:11:05 - mmengine - INFO - Epoch(val) [3][700/1918] eta: 0:03:50 time: 0.1895 data_time: 0.0008 memory: 1275 2022/09/16 04:11:23 - mmengine - INFO - Epoch(val) [3][800/1918] eta: 0:03:15 time: 0.1753 data_time: 0.0019 memory: 1275 2022/09/16 04:11:41 - mmengine - INFO - Epoch(val) [3][900/1918] eta: 0:02:59 time: 0.1760 data_time: 0.0007 memory: 1275 2022/09/16 04:11:59 - mmengine - INFO - Epoch(val) [3][1000/1918] eta: 0:02:42 time: 0.1775 data_time: 0.0008 memory: 1275 2022/09/16 04:12:17 - mmengine - INFO - Epoch(val) [3][1100/1918] eta: 0:02:34 time: 0.1893 data_time: 0.0008 memory: 1275 2022/09/16 04:12:37 - mmengine - INFO - Epoch(val) [3][1200/1918] eta: 0:02:28 time: 0.2068 data_time: 0.0008 memory: 1275 2022/09/16 04:12:56 - mmengine - INFO - Epoch(val) [3][1300/1918] eta: 0:01:56 time: 0.1889 data_time: 0.0008 memory: 1275 2022/09/16 04:13:15 - mmengine - INFO - Epoch(val) [3][1400/1918] eta: 0:01:36 time: 0.1860 data_time: 0.0009 memory: 1275 2022/09/16 04:13:35 - mmengine - INFO - Epoch(val) [3][1500/1918] eta: 0:01:18 time: 0.1878 data_time: 0.0008 memory: 1275 2022/09/16 04:13:54 - mmengine - INFO - Epoch(val) [3][1600/1918] eta: 0:01:01 time: 0.1921 data_time: 0.0031 memory: 1275 2022/09/16 04:14:13 - mmengine - INFO - Epoch(val) [3][1700/1918] eta: 0:00:43 time: 0.1978 data_time: 0.0028 memory: 1275 2022/09/16 04:14:33 - mmengine - INFO - Epoch(val) [3][1800/1918] eta: 0:00:22 time: 0.1920 data_time: 0.0024 memory: 1275 2022/09/16 04:14:52 - mmengine - INFO - Epoch(val) [3][1900/1918] eta: 0:00:03 time: 0.1901 data_time: 0.0008 memory: 1275 2022/09/16 04:14:58 - mmengine - INFO - Epoch(val) [3][1918/1918] CUTE80/recog/word_acc_ignore_case_symbol: 0.8576 IIIT5K/recog/word_acc_ignore_case_symbol: 0.9417 SVT/recog/word_acc_ignore_case_symbol: 0.9134 SVTP/recog/word_acc_ignore_case_symbol: 0.8543 IC13/recog/word_acc_ignore_case_symbol: 0.9507 IC15/recog/word_acc_ignore_case_symbol: 0.7906 2022/09/16 04:15:48 - mmengine - INFO - Epoch(train) [4][100/31614] lr: 3.0000e-05 eta: 8:15:24 time: 0.5660 data_time: 0.0833 memory: 26763 loss_ce: 0.0117 loss: 0.0117 2022/09/16 04:16:13 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 04:16:33 - mmengine - INFO - Epoch(train) [4][200/31614] lr: 3.0000e-05 eta: 8:14:35 time: 0.5516 data_time: 0.0913 memory: 26763 loss_ce: 0.0090 loss: 0.0090 2022/09/16 04:17:18 - mmengine - INFO - Epoch(train) [4][300/31614] lr: 3.0000e-05 eta: 8:13:47 time: 0.4211 data_time: 0.0027 memory: 26763 loss_ce: 0.0100 loss: 0.0100 2022/09/16 04:18:04 - mmengine - INFO - Epoch(train) [4][400/31614] lr: 3.0000e-05 eta: 8:12:59 time: 0.3847 data_time: 0.0027 memory: 26763 loss_ce: 0.0085 loss: 0.0085 2022/09/16 04:18:48 - mmengine - INFO - Epoch(train) [4][500/31614] lr: 3.0000e-05 eta: 8:12:10 time: 0.3756 data_time: 0.0028 memory: 26763 loss_ce: 0.0094 loss: 0.0094 2022/09/16 04:19:34 - mmengine - INFO - Epoch(train) [4][600/31614] lr: 3.0000e-05 eta: 8:11:21 time: 0.3843 data_time: 0.0115 memory: 26763 loss_ce: 0.0099 loss: 0.0099 2022/09/16 04:20:19 - mmengine - INFO - Epoch(train) [4][700/31614] lr: 3.0000e-05 eta: 8:10:33 time: 0.5495 data_time: 0.0972 memory: 26763 loss_ce: 0.0116 loss: 0.0116 2022/09/16 04:21:04 - mmengine - INFO - Epoch(train) [4][800/31614] lr: 3.0000e-05 eta: 8:09:45 time: 0.5288 data_time: 0.0887 memory: 26763 loss_ce: 0.0113 loss: 0.0113 2022/09/16 04:21:48 - mmengine - INFO - Epoch(train) [4][900/31614] lr: 3.0000e-05 eta: 8:08:56 time: 0.4060 data_time: 0.0026 memory: 26763 loss_ce: 0.0092 loss: 0.0092 2022/09/16 04:22:34 - mmengine - INFO - Epoch(train) [4][1000/31614] lr: 3.0000e-05 eta: 8:08:08 time: 0.3794 data_time: 0.0027 memory: 26763 loss_ce: 0.0084 loss: 0.0084 2022/09/16 04:23:19 - mmengine - INFO - Epoch(train) [4][1100/31614] lr: 3.0000e-05 eta: 8:07:20 time: 0.4219 data_time: 0.0041 memory: 26763 loss_ce: 0.0099 loss: 0.0099 2022/09/16 04:23:47 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 04:24:05 - mmengine - INFO - Epoch(train) [4][1200/31614] lr: 3.0000e-05 eta: 8:06:32 time: 0.3831 data_time: 0.0030 memory: 26763 loss_ce: 0.0089 loss: 0.0089 2022/09/16 04:24:51 - mmengine - INFO - Epoch(train) [4][1300/31614] lr: 3.0000e-05 eta: 8:05:44 time: 0.5743 data_time: 0.0795 memory: 26763 loss_ce: 0.0087 loss: 0.0087 2022/09/16 04:25:36 - mmengine - INFO - Epoch(train) [4][1400/31614] lr: 3.0000e-05 eta: 8:04:56 time: 0.5554 data_time: 0.0472 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/16 04:26:24 - mmengine - INFO - Epoch(train) [4][1500/31614] lr: 3.0000e-05 eta: 8:04:09 time: 0.4285 data_time: 0.0310 memory: 26763 loss_ce: 0.0081 loss: 0.0081 2022/09/16 04:27:12 - mmengine - INFO - Epoch(train) [4][1600/31614] lr: 3.0000e-05 eta: 8:03:23 time: 0.4242 data_time: 0.0495 memory: 26763 loss_ce: 0.0076 loss: 0.0076 2022/09/16 04:28:00 - mmengine - INFO - Epoch(train) [4][1700/31614] lr: 3.0000e-05 eta: 8:02:36 time: 0.3759 data_time: 0.0023 memory: 26763 loss_ce: 0.0071 loss: 0.0071 2022/09/16 04:28:47 - mmengine - INFO - Epoch(train) [4][1800/31614] lr: 3.0000e-05 eta: 8:01:49 time: 0.4386 data_time: 0.0033 memory: 26763 loss_ce: 0.0089 loss: 0.0089 2022/09/16 04:29:37 - mmengine - INFO - Epoch(train) [4][1900/31614] lr: 3.0000e-05 eta: 8:01:03 time: 0.6649 data_time: 0.0815 memory: 26763 loss_ce: 0.0085 loss: 0.0085 2022/09/16 04:30:24 - mmengine - INFO - Epoch(train) [4][2000/31614] lr: 3.0000e-05 eta: 8:00:16 time: 0.5614 data_time: 0.0560 memory: 26763 loss_ce: 0.0078 loss: 0.0078 2022/09/16 04:31:11 - mmengine - INFO - Epoch(train) [4][2100/31614] lr: 3.0000e-05 eta: 7:59:30 time: 0.4132 data_time: 0.0143 memory: 26763 loss_ce: 0.0083 loss: 0.0083 2022/09/16 04:31:39 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 04:32:00 - mmengine - INFO - Epoch(train) [4][2200/31614] lr: 3.0000e-05 eta: 7:58:44 time: 0.4203 data_time: 0.0515 memory: 26763 loss_ce: 0.0086 loss: 0.0086 2022/09/16 04:32:47 - mmengine - INFO - Epoch(train) [4][2300/31614] lr: 3.0000e-05 eta: 7:57:56 time: 0.3780 data_time: 0.0025 memory: 26763 loss_ce: 0.0086 loss: 0.0086 2022/09/16 04:33:34 - mmengine - INFO - Epoch(train) [4][2400/31614] lr: 3.0000e-05 eta: 7:57:09 time: 0.4386 data_time: 0.0027 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 04:34:23 - mmengine - INFO - Epoch(train) [4][2500/31614] lr: 3.0000e-05 eta: 7:56:23 time: 0.6541 data_time: 0.0858 memory: 26763 loss_ce: 0.0079 loss: 0.0079 2022/09/16 04:35:11 - mmengine - INFO - Epoch(train) [4][2600/31614] lr: 3.0000e-05 eta: 7:55:37 time: 0.6307 data_time: 0.0811 memory: 26763 loss_ce: 0.0077 loss: 0.0077 2022/09/16 04:36:00 - mmengine - INFO - Epoch(train) [4][2700/31614] lr: 3.0000e-05 eta: 7:54:51 time: 0.4179 data_time: 0.0158 memory: 26763 loss_ce: 0.0083 loss: 0.0083 2022/09/16 04:36:46 - mmengine - INFO - Epoch(train) [4][2800/31614] lr: 3.0000e-05 eta: 7:54:03 time: 0.3863 data_time: 0.0151 memory: 26763 loss_ce: 0.0078 loss: 0.0078 2022/09/16 04:37:34 - mmengine - INFO - Epoch(train) [4][2900/31614] lr: 3.0000e-05 eta: 7:53:17 time: 0.3784 data_time: 0.0027 memory: 26763 loss_ce: 0.0066 loss: 0.0066 2022/09/16 04:38:22 - mmengine - INFO - Epoch(train) [4][3000/31614] lr: 3.0000e-05 eta: 7:52:30 time: 0.4371 data_time: 0.0032 memory: 26763 loss_ce: 0.0095 loss: 0.0095 2022/09/16 04:39:11 - mmengine - INFO - Epoch(train) [4][3100/31614] lr: 3.0000e-05 eta: 7:51:44 time: 0.6050 data_time: 0.0480 memory: 26763 loss_ce: 0.0052 loss: 0.0052 2022/09/16 04:39:39 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 04:40:00 - mmengine - INFO - Epoch(train) [4][3200/31614] lr: 3.0000e-05 eta: 7:50:58 time: 0.6874 data_time: 0.0826 memory: 26763 loss_ce: 0.0055 loss: 0.0055 2022/09/16 04:40:47 - mmengine - INFO - Epoch(train) [4][3300/31614] lr: 3.0000e-05 eta: 7:50:11 time: 0.4034 data_time: 0.0141 memory: 26763 loss_ce: 0.0081 loss: 0.0081 2022/09/16 04:41:33 - mmengine - INFO - Epoch(train) [4][3400/31614] lr: 3.0000e-05 eta: 7:49:24 time: 0.3903 data_time: 0.0141 memory: 26763 loss_ce: 0.0072 loss: 0.0072 2022/09/16 04:42:22 - mmengine - INFO - Epoch(train) [4][3500/31614] lr: 3.0000e-05 eta: 7:48:38 time: 0.3985 data_time: 0.0034 memory: 26763 loss_ce: 0.0110 loss: 0.0110 2022/09/16 04:43:11 - mmengine - INFO - Epoch(train) [4][3600/31614] lr: 3.0000e-05 eta: 7:47:52 time: 0.4380 data_time: 0.0027 memory: 26763 loss_ce: 0.0080 loss: 0.0080 2022/09/16 04:44:00 - mmengine - INFO - Epoch(train) [4][3700/31614] lr: 3.0000e-05 eta: 7:47:06 time: 0.5798 data_time: 0.0498 memory: 26763 loss_ce: 0.0083 loss: 0.0083 2022/09/16 04:44:48 - mmengine - INFO - Epoch(train) [4][3800/31614] lr: 3.0000e-05 eta: 7:46:19 time: 0.6028 data_time: 0.0825 memory: 26763 loss_ce: 0.0088 loss: 0.0088 2022/09/16 04:45:36 - mmengine - INFO - Epoch(train) [4][3900/31614] lr: 3.0000e-05 eta: 7:45:33 time: 0.4703 data_time: 0.0192 memory: 26763 loss_ce: 0.0087 loss: 0.0087 2022/09/16 04:46:24 - mmengine - INFO - Epoch(train) [4][4000/31614] lr: 3.0000e-05 eta: 7:44:46 time: 0.4025 data_time: 0.0155 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 04:47:12 - mmengine - INFO - Epoch(train) [4][4100/31614] lr: 3.0000e-05 eta: 7:43:59 time: 0.3912 data_time: 0.0029 memory: 26763 loss_ce: 0.0116 loss: 0.0116 2022/09/16 04:47:42 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 04:48:01 - mmengine - INFO - Epoch(train) [4][4200/31614] lr: 3.0000e-05 eta: 7:43:13 time: 0.4360 data_time: 0.0033 memory: 26763 loss_ce: 0.0086 loss: 0.0086 2022/09/16 04:48:51 - mmengine - INFO - Epoch(train) [4][4300/31614] lr: 3.0000e-05 eta: 7:42:28 time: 0.5856 data_time: 0.0464 memory: 26763 loss_ce: 0.0053 loss: 0.0053 2022/09/16 04:49:39 - mmengine - INFO - Epoch(train) [4][4400/31614] lr: 3.0000e-05 eta: 7:41:42 time: 0.6166 data_time: 0.0534 memory: 26763 loss_ce: 0.0064 loss: 0.0064 2022/09/16 04:50:28 - mmengine - INFO - Epoch(train) [4][4500/31614] lr: 3.0000e-05 eta: 7:40:55 time: 0.4424 data_time: 0.0158 memory: 26763 loss_ce: 0.0087 loss: 0.0087 2022/09/16 04:51:16 - mmengine - INFO - Epoch(train) [4][4600/31614] lr: 3.0000e-05 eta: 7:40:09 time: 0.4204 data_time: 0.0167 memory: 26763 loss_ce: 0.0082 loss: 0.0082 2022/09/16 04:52:04 - mmengine - INFO - Epoch(train) [4][4700/31614] lr: 3.0000e-05 eta: 7:39:23 time: 0.3916 data_time: 0.0028 memory: 26763 loss_ce: 0.0105 loss: 0.0105 2022/09/16 04:52:54 - mmengine - INFO - Epoch(train) [4][4800/31614] lr: 3.0000e-05 eta: 7:38:37 time: 0.4590 data_time: 0.0024 memory: 26763 loss_ce: 0.0066 loss: 0.0066 2022/09/16 04:53:41 - mmengine - INFO - Epoch(train) [4][4900/31614] lr: 3.0000e-05 eta: 7:37:50 time: 0.5547 data_time: 0.0445 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 04:54:29 - mmengine - INFO - Epoch(train) [4][5000/31614] lr: 3.0000e-05 eta: 7:37:03 time: 0.5341 data_time: 0.0507 memory: 26763 loss_ce: 0.0091 loss: 0.0091 2022/09/16 04:55:17 - mmengine - INFO - Epoch(train) [4][5100/31614] lr: 3.0000e-05 eta: 7:36:17 time: 0.4501 data_time: 0.0167 memory: 26763 loss_ce: 0.0099 loss: 0.0099 2022/09/16 04:55:45 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 04:56:05 - mmengine - INFO - Epoch(train) [4][5200/31614] lr: 3.0000e-05 eta: 7:35:30 time: 0.4005 data_time: 0.0145 memory: 26763 loss_ce: 0.0088 loss: 0.0088 2022/09/16 04:56:55 - mmengine - INFO - Epoch(train) [4][5300/31614] lr: 3.0000e-05 eta: 7:34:44 time: 0.3918 data_time: 0.0028 memory: 26763 loss_ce: 0.0081 loss: 0.0081 2022/09/16 04:57:42 - mmengine - INFO - Epoch(train) [4][5400/31614] lr: 3.0000e-05 eta: 7:33:57 time: 0.4477 data_time: 0.0025 memory: 26763 loss_ce: 0.0081 loss: 0.0081 2022/09/16 04:58:31 - mmengine - INFO - Epoch(train) [4][5500/31614] lr: 3.0000e-05 eta: 7:33:11 time: 0.6338 data_time: 0.0514 memory: 26763 loss_ce: 0.0085 loss: 0.0085 2022/09/16 04:59:19 - mmengine - INFO - Epoch(train) [4][5600/31614] lr: 3.0000e-05 eta: 7:32:25 time: 0.6328 data_time: 0.0493 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 05:00:08 - mmengine - INFO - Epoch(train) [4][5700/31614] lr: 3.0000e-05 eta: 7:31:39 time: 0.4148 data_time: 0.0150 memory: 26763 loss_ce: 0.0085 loss: 0.0085 2022/09/16 05:00:56 - mmengine - INFO - Epoch(train) [4][5800/31614] lr: 3.0000e-05 eta: 7:30:52 time: 0.4069 data_time: 0.0151 memory: 26763 loss_ce: 0.0089 loss: 0.0089 2022/09/16 05:01:43 - mmengine - INFO - Epoch(train) [4][5900/31614] lr: 3.0000e-05 eta: 7:30:05 time: 0.3892 data_time: 0.0023 memory: 26763 loss_ce: 0.0077 loss: 0.0077 2022/09/16 05:02:31 - mmengine - INFO - Epoch(train) [4][6000/31614] lr: 3.0000e-05 eta: 7:29:18 time: 0.4358 data_time: 0.0027 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 05:03:21 - mmengine - INFO - Epoch(train) [4][6100/31614] lr: 3.0000e-05 eta: 7:28:33 time: 0.6014 data_time: 0.0538 memory: 26763 loss_ce: 0.0084 loss: 0.0084 2022/09/16 05:03:49 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 05:04:09 - mmengine - INFO - Epoch(train) [4][6200/31614] lr: 3.0000e-05 eta: 7:27:46 time: 0.5555 data_time: 0.0157 memory: 26763 loss_ce: 0.0083 loss: 0.0083 2022/09/16 05:04:57 - mmengine - INFO - Epoch(train) [4][6300/31614] lr: 3.0000e-05 eta: 7:26:59 time: 0.4045 data_time: 0.0032 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 05:05:45 - mmengine - INFO - Epoch(train) [4][6400/31614] lr: 3.0000e-05 eta: 7:26:13 time: 0.3866 data_time: 0.0024 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 05:06:31 - mmengine - INFO - Epoch(train) [4][6500/31614] lr: 3.0000e-05 eta: 7:25:25 time: 0.4285 data_time: 0.0029 memory: 26763 loss_ce: 0.0071 loss: 0.0071 2022/09/16 05:07:20 - mmengine - INFO - Epoch(train) [4][6600/31614] lr: 3.0000e-05 eta: 7:24:39 time: 0.4328 data_time: 0.0090 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 05:08:10 - mmengine - INFO - Epoch(train) [4][6700/31614] lr: 3.0000e-05 eta: 7:23:53 time: 0.6263 data_time: 0.0618 memory: 26763 loss_ce: 0.0051 loss: 0.0051 2022/09/16 05:08:58 - mmengine - INFO - Epoch(train) [4][6800/31614] lr: 3.0000e-05 eta: 7:23:07 time: 0.6706 data_time: 0.1009 memory: 26763 loss_ce: 0.0083 loss: 0.0083 2022/09/16 05:09:45 - mmengine - INFO - Epoch(train) [4][6900/31614] lr: 3.0000e-05 eta: 7:22:20 time: 0.3967 data_time: 0.0025 memory: 26763 loss_ce: 0.0088 loss: 0.0088 2022/09/16 05:10:32 - mmengine - INFO - Epoch(train) [4][7000/31614] lr: 3.0000e-05 eta: 7:21:32 time: 0.3899 data_time: 0.0026 memory: 26763 loss_ce: 0.0057 loss: 0.0057 2022/09/16 05:11:20 - mmengine - INFO - Epoch(train) [4][7100/31614] lr: 3.0000e-05 eta: 7:20:46 time: 0.3974 data_time: 0.0027 memory: 26763 loss_ce: 0.0098 loss: 0.0098 2022/09/16 05:11:49 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 05:12:09 - mmengine - INFO - Epoch(train) [4][7200/31614] lr: 3.0000e-05 eta: 7:20:00 time: 0.4547 data_time: 0.0129 memory: 26763 loss_ce: 0.0113 loss: 0.0113 2022/09/16 05:12:58 - mmengine - INFO - Epoch(train) [4][7300/31614] lr: 3.0000e-05 eta: 7:19:14 time: 0.6214 data_time: 0.0636 memory: 26763 loss_ce: 0.0083 loss: 0.0083 2022/09/16 05:13:46 - mmengine - INFO - Epoch(train) [4][7400/31614] lr: 3.0000e-05 eta: 7:18:27 time: 0.6043 data_time: 0.0922 memory: 26763 loss_ce: 0.0090 loss: 0.0090 2022/09/16 05:14:33 - mmengine - INFO - Epoch(train) [4][7500/31614] lr: 3.0000e-05 eta: 7:17:40 time: 0.3998 data_time: 0.0033 memory: 26763 loss_ce: 0.0078 loss: 0.0078 2022/09/16 05:15:21 - mmengine - INFO - Epoch(train) [4][7600/31614] lr: 3.0000e-05 eta: 7:16:53 time: 0.4053 data_time: 0.0033 memory: 26763 loss_ce: 0.0063 loss: 0.0063 2022/09/16 05:16:09 - mmengine - INFO - Epoch(train) [4][7700/31614] lr: 3.0000e-05 eta: 7:16:07 time: 0.4014 data_time: 0.0043 memory: 26763 loss_ce: 0.0071 loss: 0.0071 2022/09/16 05:16:58 - mmengine - INFO - Epoch(train) [4][7800/31614] lr: 3.0000e-05 eta: 7:15:20 time: 0.4829 data_time: 0.0091 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 05:17:48 - mmengine - INFO - Epoch(train) [4][7900/31614] lr: 3.0000e-05 eta: 7:14:35 time: 0.6206 data_time: 0.0626 memory: 26763 loss_ce: 0.0072 loss: 0.0072 2022/09/16 05:18:36 - mmengine - INFO - Epoch(train) [4][8000/31614] lr: 3.0000e-05 eta: 7:13:48 time: 0.5965 data_time: 0.0568 memory: 26763 loss_ce: 0.0057 loss: 0.0057 2022/09/16 05:19:24 - mmengine - INFO - Epoch(train) [4][8100/31614] lr: 3.0000e-05 eta: 7:13:01 time: 0.4038 data_time: 0.0027 memory: 26763 loss_ce: 0.0082 loss: 0.0082 2022/09/16 05:19:51 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 05:20:11 - mmengine - INFO - Epoch(train) [4][8200/31614] lr: 3.0000e-05 eta: 7:12:14 time: 0.3932 data_time: 0.0027 memory: 26763 loss_ce: 0.0072 loss: 0.0072 2022/09/16 05:21:00 - mmengine - INFO - Epoch(train) [4][8300/31614] lr: 3.0000e-05 eta: 7:11:28 time: 0.4078 data_time: 0.0029 memory: 26763 loss_ce: 0.0083 loss: 0.0083 2022/09/16 05:21:48 - mmengine - INFO - Epoch(train) [4][8400/31614] lr: 3.0000e-05 eta: 7:10:41 time: 0.4404 data_time: 0.0091 memory: 26763 loss_ce: 0.0081 loss: 0.0081 2022/09/16 05:22:36 - mmengine - INFO - Epoch(train) [4][8500/31614] lr: 3.0000e-05 eta: 7:09:54 time: 0.5968 data_time: 0.0593 memory: 26763 loss_ce: 0.0104 loss: 0.0104 2022/09/16 05:23:23 - mmengine - INFO - Epoch(train) [4][8600/31614] lr: 3.0000e-05 eta: 7:09:08 time: 0.6213 data_time: 0.0625 memory: 26763 loss_ce: 0.0112 loss: 0.0112 2022/09/16 05:24:11 - mmengine - INFO - Epoch(train) [4][8700/31614] lr: 3.0000e-05 eta: 7:08:21 time: 0.4022 data_time: 0.0025 memory: 26763 loss_ce: 0.0082 loss: 0.0082 2022/09/16 05:25:00 - mmengine - INFO - Epoch(train) [4][8800/31614] lr: 3.0000e-05 eta: 7:07:34 time: 0.3996 data_time: 0.0027 memory: 26763 loss_ce: 0.0053 loss: 0.0053 2022/09/16 05:25:48 - mmengine - INFO - Epoch(train) [4][8900/31614] lr: 3.0000e-05 eta: 7:06:48 time: 0.4001 data_time: 0.0030 memory: 26763 loss_ce: 0.0055 loss: 0.0055 2022/09/16 05:26:37 - mmengine - INFO - Epoch(train) [4][9000/31614] lr: 3.0000e-05 eta: 7:06:01 time: 0.4286 data_time: 0.0078 memory: 26763 loss_ce: 0.0093 loss: 0.0093 2022/09/16 05:27:26 - mmengine - INFO - Epoch(train) [4][9100/31614] lr: 3.0000e-05 eta: 7:05:16 time: 0.6382 data_time: 0.0957 memory: 26763 loss_ce: 0.0082 loss: 0.0082 2022/09/16 05:27:54 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 05:28:15 - mmengine - INFO - Epoch(train) [4][9200/31614] lr: 3.0000e-05 eta: 7:04:29 time: 0.5726 data_time: 0.0667 memory: 26763 loss_ce: 0.0093 loss: 0.0093 2022/09/16 05:29:04 - mmengine - INFO - Epoch(train) [4][9300/31614] lr: 3.0000e-05 eta: 7:03:43 time: 0.4096 data_time: 0.0029 memory: 26763 loss_ce: 0.0074 loss: 0.0074 2022/09/16 05:29:52 - mmengine - INFO - Epoch(train) [4][9400/31614] lr: 3.0000e-05 eta: 7:02:56 time: 0.4143 data_time: 0.0046 memory: 26763 loss_ce: 0.0072 loss: 0.0072 2022/09/16 05:30:40 - mmengine - INFO - Epoch(train) [4][9500/31614] lr: 3.0000e-05 eta: 7:02:09 time: 0.3925 data_time: 0.0024 memory: 26763 loss_ce: 0.0096 loss: 0.0096 2022/09/16 05:31:27 - mmengine - INFO - Epoch(train) [4][9600/31614] lr: 3.0000e-05 eta: 7:01:23 time: 0.4346 data_time: 0.0054 memory: 26763 loss_ce: 0.0068 loss: 0.0068 2022/09/16 05:32:18 - mmengine - INFO - Epoch(train) [4][9700/31614] lr: 3.0000e-05 eta: 7:00:37 time: 0.5739 data_time: 0.0602 memory: 26763 loss_ce: 0.0094 loss: 0.0094 2022/09/16 05:33:06 - mmengine - INFO - Epoch(train) [4][9800/31614] lr: 3.0000e-05 eta: 6:59:51 time: 0.5864 data_time: 0.0594 memory: 26763 loss_ce: 0.0084 loss: 0.0084 2022/09/16 05:33:55 - mmengine - INFO - Epoch(train) [4][9900/31614] lr: 3.0000e-05 eta: 6:59:04 time: 0.4057 data_time: 0.0025 memory: 26763 loss_ce: 0.0097 loss: 0.0097 2022/09/16 05:34:43 - mmengine - INFO - Epoch(train) [4][10000/31614] lr: 3.0000e-05 eta: 6:58:17 time: 0.3840 data_time: 0.0028 memory: 26763 loss_ce: 0.0083 loss: 0.0083 2022/09/16 05:35:30 - mmengine - INFO - Epoch(train) [4][10100/31614] lr: 3.0000e-05 eta: 6:57:30 time: 0.3911 data_time: 0.0030 memory: 26763 loss_ce: 0.0064 loss: 0.0064 2022/09/16 05:36:00 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 05:36:20 - mmengine - INFO - Epoch(train) [4][10200/31614] lr: 3.0000e-05 eta: 6:56:45 time: 0.4452 data_time: 0.0059 memory: 26763 loss_ce: 0.0108 loss: 0.0108 2022/09/16 05:37:10 - mmengine - INFO - Epoch(train) [4][10300/31614] lr: 3.0000e-05 eta: 6:55:59 time: 0.6065 data_time: 0.0830 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 05:37:59 - mmengine - INFO - Epoch(train) [4][10400/31614] lr: 3.0000e-05 eta: 6:55:12 time: 0.6451 data_time: 0.0929 memory: 26763 loss_ce: 0.0101 loss: 0.0101 2022/09/16 05:38:48 - mmengine - INFO - Epoch(train) [4][10500/31614] lr: 3.0000e-05 eta: 6:54:26 time: 0.4031 data_time: 0.0027 memory: 26763 loss_ce: 0.0089 loss: 0.0089 2022/09/16 05:39:35 - mmengine - INFO - Epoch(train) [4][10600/31614] lr: 3.0000e-05 eta: 6:53:39 time: 0.3862 data_time: 0.0036 memory: 26763 loss_ce: 0.0111 loss: 0.0111 2022/09/16 05:40:23 - mmengine - INFO - Epoch(train) [4][10700/31614] lr: 3.0000e-05 eta: 6:52:52 time: 0.4395 data_time: 0.0026 memory: 26763 loss_ce: 0.0112 loss: 0.0112 2022/09/16 05:41:11 - mmengine - INFO - Epoch(train) [4][10800/31614] lr: 3.0000e-05 eta: 6:52:06 time: 0.4355 data_time: 0.0056 memory: 26763 loss_ce: 0.0064 loss: 0.0064 2022/09/16 05:42:01 - mmengine - INFO - Epoch(train) [4][10900/31614] lr: 3.0000e-05 eta: 6:51:20 time: 0.5735 data_time: 0.0901 memory: 26763 loss_ce: 0.0082 loss: 0.0082 2022/09/16 05:42:50 - mmengine - INFO - Epoch(train) [4][11000/31614] lr: 3.0000e-05 eta: 6:50:34 time: 0.6515 data_time: 0.0966 memory: 26763 loss_ce: 0.0070 loss: 0.0070 2022/09/16 05:43:38 - mmengine - INFO - Epoch(train) [4][11100/31614] lr: 3.0000e-05 eta: 6:49:47 time: 0.4067 data_time: 0.0031 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/16 05:44:06 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 05:44:27 - mmengine - INFO - Epoch(train) [4][11200/31614] lr: 3.0000e-05 eta: 6:49:00 time: 0.3832 data_time: 0.0026 memory: 26763 loss_ce: 0.0053 loss: 0.0053 2022/09/16 05:45:15 - mmengine - INFO - Epoch(train) [4][11300/31614] lr: 3.0000e-05 eta: 6:48:14 time: 0.3950 data_time: 0.0031 memory: 26763 loss_ce: 0.0081 loss: 0.0081 2022/09/16 05:46:05 - mmengine - INFO - Epoch(train) [4][11400/31614] lr: 3.0000e-05 eta: 6:47:28 time: 0.4757 data_time: 0.0054 memory: 26763 loss_ce: 0.0098 loss: 0.0098 2022/09/16 05:46:55 - mmengine - INFO - Epoch(train) [4][11500/31614] lr: 3.0000e-05 eta: 6:46:42 time: 0.5970 data_time: 0.0956 memory: 26763 loss_ce: 0.0086 loss: 0.0086 2022/09/16 05:47:42 - mmengine - INFO - Epoch(train) [4][11600/31614] lr: 3.0000e-05 eta: 6:45:55 time: 0.5590 data_time: 0.0576 memory: 26763 loss_ce: 0.0048 loss: 0.0048 2022/09/16 05:48:30 - mmengine - INFO - Epoch(train) [4][11700/31614] lr: 3.0000e-05 eta: 6:45:08 time: 0.4821 data_time: 0.0029 memory: 26763 loss_ce: 0.0066 loss: 0.0066 2022/09/16 05:49:18 - mmengine - INFO - Epoch(train) [4][11800/31614] lr: 3.0000e-05 eta: 6:44:21 time: 0.3844 data_time: 0.0027 memory: 26763 loss_ce: 0.0079 loss: 0.0079 2022/09/16 05:50:06 - mmengine - INFO - Epoch(train) [4][11900/31614] lr: 3.0000e-05 eta: 6:43:34 time: 0.3917 data_time: 0.0028 memory: 26763 loss_ce: 0.0062 loss: 0.0062 2022/09/16 05:50:55 - mmengine - INFO - Epoch(train) [4][12000/31614] lr: 3.0000e-05 eta: 6:42:48 time: 0.4443 data_time: 0.0051 memory: 26763 loss_ce: 0.0079 loss: 0.0079 2022/09/16 05:51:45 - mmengine - INFO - Epoch(train) [4][12100/31614] lr: 3.0000e-05 eta: 6:42:02 time: 0.6123 data_time: 0.0934 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 05:52:11 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 05:52:33 - mmengine - INFO - Epoch(train) [4][12200/31614] lr: 3.0000e-05 eta: 6:41:15 time: 0.5975 data_time: 0.0635 memory: 26763 loss_ce: 0.0051 loss: 0.0051 2022/09/16 05:53:21 - mmengine - INFO - Epoch(train) [4][12300/31614] lr: 3.0000e-05 eta: 6:40:28 time: 0.4103 data_time: 0.0040 memory: 26763 loss_ce: 0.0085 loss: 0.0085 2022/09/16 05:54:09 - mmengine - INFO - Epoch(train) [4][12400/31614] lr: 3.0000e-05 eta: 6:39:42 time: 0.3818 data_time: 0.0028 memory: 26763 loss_ce: 0.0076 loss: 0.0076 2022/09/16 05:54:58 - mmengine - INFO - Epoch(train) [4][12500/31614] lr: 3.0000e-05 eta: 6:38:55 time: 0.3922 data_time: 0.0035 memory: 26763 loss_ce: 0.0070 loss: 0.0070 2022/09/16 05:55:46 - mmengine - INFO - Epoch(train) [4][12600/31614] lr: 3.0000e-05 eta: 6:38:09 time: 0.4274 data_time: 0.0049 memory: 26763 loss_ce: 0.0083 loss: 0.0083 2022/09/16 05:56:35 - mmengine - INFO - Epoch(train) [4][12700/31614] lr: 3.0000e-05 eta: 6:37:22 time: 0.6115 data_time: 0.0637 memory: 26763 loss_ce: 0.0095 loss: 0.0095 2022/09/16 05:57:23 - mmengine - INFO - Epoch(train) [4][12800/31614] lr: 3.0000e-05 eta: 6:36:35 time: 0.6145 data_time: 0.0594 memory: 26763 loss_ce: 0.0071 loss: 0.0071 2022/09/16 05:58:11 - mmengine - INFO - Epoch(train) [4][12900/31614] lr: 3.0000e-05 eta: 6:35:48 time: 0.4122 data_time: 0.0027 memory: 26763 loss_ce: 0.0068 loss: 0.0068 2022/09/16 05:58:59 - mmengine - INFO - Epoch(train) [4][13000/31614] lr: 3.0000e-05 eta: 6:35:02 time: 0.3838 data_time: 0.0028 memory: 26763 loss_ce: 0.0059 loss: 0.0059 2022/09/16 05:59:47 - mmengine - INFO - Epoch(train) [4][13100/31614] lr: 3.0000e-05 eta: 6:34:15 time: 0.3878 data_time: 0.0024 memory: 26763 loss_ce: 0.0074 loss: 0.0074 2022/09/16 06:00:19 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 06:00:37 - mmengine - INFO - Epoch(train) [4][13200/31614] lr: 3.0000e-05 eta: 6:33:29 time: 0.4337 data_time: 0.0053 memory: 26763 loss_ce: 0.0053 loss: 0.0053 2022/09/16 06:01:27 - mmengine - INFO - Epoch(train) [4][13300/31614] lr: 3.0000e-05 eta: 6:32:43 time: 0.5784 data_time: 0.0688 memory: 26763 loss_ce: 0.0067 loss: 0.0067 2022/09/16 06:02:16 - mmengine - INFO - Epoch(train) [4][13400/31614] lr: 3.0000e-05 eta: 6:31:57 time: 0.6061 data_time: 0.1105 memory: 26763 loss_ce: 0.0105 loss: 0.0105 2022/09/16 06:03:05 - mmengine - INFO - Epoch(train) [4][13500/31614] lr: 3.0000e-05 eta: 6:31:10 time: 0.4532 data_time: 0.0029 memory: 26763 loss_ce: 0.0051 loss: 0.0051 2022/09/16 06:03:53 - mmengine - INFO - Epoch(train) [4][13600/31614] lr: 3.0000e-05 eta: 6:30:23 time: 0.3843 data_time: 0.0025 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 06:04:40 - mmengine - INFO - Epoch(train) [4][13700/31614] lr: 3.0000e-05 eta: 6:29:36 time: 0.3870 data_time: 0.0030 memory: 26763 loss_ce: 0.0081 loss: 0.0081 2022/09/16 06:05:29 - mmengine - INFO - Epoch(train) [4][13800/31614] lr: 3.0000e-05 eta: 6:28:50 time: 0.4761 data_time: 0.0052 memory: 26763 loss_ce: 0.0070 loss: 0.0070 2022/09/16 06:06:20 - mmengine - INFO - Epoch(train) [4][13900/31614] lr: 3.0000e-05 eta: 6:28:04 time: 0.5795 data_time: 0.0651 memory: 26763 loss_ce: 0.0091 loss: 0.0091 2022/09/16 06:07:09 - mmengine - INFO - Epoch(train) [4][14000/31614] lr: 3.0000e-05 eta: 6:27:18 time: 0.6528 data_time: 0.0904 memory: 26763 loss_ce: 0.0119 loss: 0.0119 2022/09/16 06:07:58 - mmengine - INFO - Epoch(train) [4][14100/31614] lr: 3.0000e-05 eta: 6:26:31 time: 0.4088 data_time: 0.0024 memory: 26763 loss_ce: 0.0093 loss: 0.0093 2022/09/16 06:08:25 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 06:08:45 - mmengine - INFO - Epoch(train) [4][14200/31614] lr: 3.0000e-05 eta: 6:25:44 time: 0.3894 data_time: 0.0026 memory: 26763 loss_ce: 0.0068 loss: 0.0068 2022/09/16 06:09:34 - mmengine - INFO - Epoch(train) [4][14300/31614] lr: 3.0000e-05 eta: 6:24:58 time: 0.3883 data_time: 0.0028 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 06:10:24 - mmengine - INFO - Epoch(train) [4][14400/31614] lr: 3.0000e-05 eta: 6:24:12 time: 0.4841 data_time: 0.0080 memory: 26763 loss_ce: 0.0106 loss: 0.0106 2022/09/16 06:11:15 - mmengine - INFO - Epoch(train) [4][14500/31614] lr: 3.0000e-05 eta: 6:23:26 time: 0.6418 data_time: 0.1084 memory: 26763 loss_ce: 0.0104 loss: 0.0104 2022/09/16 06:12:05 - mmengine - INFO - Epoch(train) [4][14600/31614] lr: 3.0000e-05 eta: 6:22:40 time: 0.6372 data_time: 0.0868 memory: 26763 loss_ce: 0.0084 loss: 0.0084 2022/09/16 06:12:54 - mmengine - INFO - Epoch(train) [4][14700/31614] lr: 3.0000e-05 eta: 6:21:54 time: 0.4228 data_time: 0.0024 memory: 26763 loss_ce: 0.0088 loss: 0.0088 2022/09/16 06:13:44 - mmengine - INFO - Epoch(train) [4][14800/31614] lr: 3.0000e-05 eta: 6:21:08 time: 0.4106 data_time: 0.0034 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 06:14:35 - mmengine - INFO - Epoch(train) [4][14900/31614] lr: 3.0000e-05 eta: 6:20:22 time: 0.4041 data_time: 0.0029 memory: 26763 loss_ce: 0.0091 loss: 0.0091 2022/09/16 06:15:26 - mmengine - INFO - Epoch(train) [4][15000/31614] lr: 3.0000e-05 eta: 6:19:37 time: 0.4736 data_time: 0.0079 memory: 26763 loss_ce: 0.0067 loss: 0.0067 2022/09/16 06:16:17 - mmengine - INFO - Epoch(train) [4][15100/31614] lr: 3.0000e-05 eta: 6:18:51 time: 0.6413 data_time: 0.0850 memory: 26763 loss_ce: 0.0077 loss: 0.0077 2022/09/16 06:16:45 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 06:17:06 - mmengine - INFO - Epoch(train) [4][15200/31614] lr: 3.0000e-05 eta: 6:18:05 time: 0.6652 data_time: 0.0860 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 06:17:57 - mmengine - INFO - Epoch(train) [4][15300/31614] lr: 3.0000e-05 eta: 6:17:19 time: 0.4913 data_time: 0.0029 memory: 26763 loss_ce: 0.0068 loss: 0.0068 2022/09/16 06:18:48 - mmengine - INFO - Epoch(train) [4][15400/31614] lr: 3.0000e-05 eta: 6:16:33 time: 0.3914 data_time: 0.0033 memory: 26763 loss_ce: 0.0066 loss: 0.0066 2022/09/16 06:19:39 - mmengine - INFO - Epoch(train) [4][15500/31614] lr: 3.0000e-05 eta: 6:15:48 time: 0.3915 data_time: 0.0027 memory: 26763 loss_ce: 0.0102 loss: 0.0102 2022/09/16 06:20:29 - mmengine - INFO - Epoch(train) [4][15600/31614] lr: 3.0000e-05 eta: 6:15:02 time: 0.4533 data_time: 0.0056 memory: 26763 loss_ce: 0.0070 loss: 0.0070 2022/09/16 06:21:20 - mmengine - INFO - Epoch(train) [4][15700/31614] lr: 3.0000e-05 eta: 6:14:16 time: 0.6356 data_time: 0.0955 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/16 06:22:10 - mmengine - INFO - Epoch(train) [4][15800/31614] lr: 3.0000e-05 eta: 6:13:30 time: 0.6219 data_time: 0.0625 memory: 26763 loss_ce: 0.0096 loss: 0.0096 2022/09/16 06:23:00 - mmengine - INFO - Epoch(train) [4][15900/31614] lr: 3.0000e-05 eta: 6:12:44 time: 0.4516 data_time: 0.0033 memory: 26763 loss_ce: 0.0064 loss: 0.0064 2022/09/16 06:23:52 - mmengine - INFO - Epoch(train) [4][16000/31614] lr: 3.0000e-05 eta: 6:11:58 time: 0.3950 data_time: 0.0034 memory: 26763 loss_ce: 0.0068 loss: 0.0068 2022/09/16 06:24:42 - mmengine - INFO - Epoch(train) [4][16100/31614] lr: 3.0000e-05 eta: 6:11:12 time: 0.3857 data_time: 0.0025 memory: 26763 loss_ce: 0.0078 loss: 0.0078 2022/09/16 06:25:12 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 06:25:31 - mmengine - INFO - Epoch(train) [4][16200/31614] lr: 3.0000e-05 eta: 6:10:26 time: 0.4369 data_time: 0.0057 memory: 26763 loss_ce: 0.0088 loss: 0.0088 2022/09/16 06:26:23 - mmengine - INFO - Epoch(train) [4][16300/31614] lr: 3.0000e-05 eta: 6:09:41 time: 0.6229 data_time: 0.0915 memory: 26763 loss_ce: 0.0070 loss: 0.0070 2022/09/16 06:27:15 - mmengine - INFO - Epoch(train) [4][16400/31614] lr: 3.0000e-05 eta: 6:08:55 time: 0.6779 data_time: 0.0678 memory: 26763 loss_ce: 0.0067 loss: 0.0067 2022/09/16 06:28:05 - mmengine - INFO - Epoch(train) [4][16500/31614] lr: 3.0000e-05 eta: 6:08:09 time: 0.5007 data_time: 0.0030 memory: 26763 loss_ce: 0.0086 loss: 0.0086 2022/09/16 06:28:55 - mmengine - INFO - Epoch(train) [4][16600/31614] lr: 3.0000e-05 eta: 6:07:23 time: 0.4348 data_time: 0.0029 memory: 26763 loss_ce: 0.0086 loss: 0.0086 2022/09/16 06:29:45 - mmengine - INFO - Epoch(train) [4][16700/31614] lr: 3.0000e-05 eta: 6:06:37 time: 0.3940 data_time: 0.0028 memory: 26763 loss_ce: 0.0090 loss: 0.0090 2022/09/16 06:30:36 - mmengine - INFO - Epoch(train) [4][16800/31614] lr: 3.0000e-05 eta: 6:05:51 time: 0.4710 data_time: 0.0052 memory: 26763 loss_ce: 0.0064 loss: 0.0064 2022/09/16 06:31:28 - mmengine - INFO - Epoch(train) [4][16900/31614] lr: 3.0000e-05 eta: 6:05:06 time: 0.6116 data_time: 0.0688 memory: 26763 loss_ce: 0.0074 loss: 0.0074 2022/09/16 06:32:19 - mmengine - INFO - Epoch(train) [4][17000/31614] lr: 3.0000e-05 eta: 6:04:20 time: 0.5720 data_time: 0.0634 memory: 26763 loss_ce: 0.0093 loss: 0.0093 2022/09/16 06:33:10 - mmengine - INFO - Epoch(train) [4][17100/31614] lr: 3.0000e-05 eta: 6:03:34 time: 0.4871 data_time: 0.0024 memory: 26763 loss_ce: 0.0079 loss: 0.0079 2022/09/16 06:33:38 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 06:34:00 - mmengine - INFO - Epoch(train) [4][17200/31614] lr: 3.0000e-05 eta: 6:02:48 time: 0.4288 data_time: 0.0027 memory: 26763 loss_ce: 0.0064 loss: 0.0064 2022/09/16 06:34:50 - mmengine - INFO - Epoch(train) [4][17300/31614] lr: 3.0000e-05 eta: 6:02:02 time: 0.3896 data_time: 0.0027 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 06:35:41 - mmengine - INFO - Epoch(train) [4][17400/31614] lr: 3.0000e-05 eta: 6:01:16 time: 0.4785 data_time: 0.0067 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 06:36:33 - mmengine - INFO - Epoch(train) [4][17500/31614] lr: 3.0000e-05 eta: 6:00:31 time: 0.6073 data_time: 0.0980 memory: 26763 loss_ce: 0.0077 loss: 0.0077 2022/09/16 06:37:22 - mmengine - INFO - Epoch(train) [4][17600/31614] lr: 3.0000e-05 eta: 5:59:44 time: 0.5814 data_time: 0.0572 memory: 26763 loss_ce: 0.0079 loss: 0.0079 2022/09/16 06:38:12 - mmengine - INFO - Epoch(train) [4][17700/31614] lr: 3.0000e-05 eta: 5:58:58 time: 0.4802 data_time: 0.0031 memory: 26763 loss_ce: 0.0064 loss: 0.0064 2022/09/16 06:39:02 - mmengine - INFO - Epoch(train) [4][17800/31614] lr: 3.0000e-05 eta: 5:58:12 time: 0.3985 data_time: 0.0028 memory: 26763 loss_ce: 0.0076 loss: 0.0076 2022/09/16 06:39:52 - mmengine - INFO - Epoch(train) [4][17900/31614] lr: 3.0000e-05 eta: 5:57:25 time: 0.3909 data_time: 0.0028 memory: 26763 loss_ce: 0.0086 loss: 0.0086 2022/09/16 06:40:44 - mmengine - INFO - Epoch(train) [4][18000/31614] lr: 3.0000e-05 eta: 5:56:40 time: 0.4376 data_time: 0.0055 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 06:41:35 - mmengine - INFO - Epoch(train) [4][18100/31614] lr: 3.0000e-05 eta: 5:55:54 time: 0.5956 data_time: 0.0826 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 06:42:02 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 06:42:24 - mmengine - INFO - Epoch(train) [4][18200/31614] lr: 3.0000e-05 eta: 5:55:07 time: 0.5937 data_time: 0.0642 memory: 26763 loss_ce: 0.0066 loss: 0.0066 2022/09/16 06:43:14 - mmengine - INFO - Epoch(train) [4][18300/31614] lr: 3.0000e-05 eta: 5:54:21 time: 0.4860 data_time: 0.0027 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/16 06:44:04 - mmengine - INFO - Epoch(train) [4][18400/31614] lr: 3.0000e-05 eta: 5:53:35 time: 0.4028 data_time: 0.0028 memory: 26763 loss_ce: 0.0081 loss: 0.0081 2022/09/16 06:44:55 - mmengine - INFO - Epoch(train) [4][18500/31614] lr: 3.0000e-05 eta: 5:52:49 time: 0.3884 data_time: 0.0029 memory: 26763 loss_ce: 0.0093 loss: 0.0093 2022/09/16 06:45:45 - mmengine - INFO - Epoch(train) [4][18600/31614] lr: 3.0000e-05 eta: 5:52:02 time: 0.4586 data_time: 0.0052 memory: 26763 loss_ce: 0.0058 loss: 0.0058 2022/09/16 06:46:35 - mmengine - INFO - Epoch(train) [4][18700/31614] lr: 3.0000e-05 eta: 5:51:16 time: 0.6208 data_time: 0.0872 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 06:47:26 - mmengine - INFO - Epoch(train) [4][18800/31614] lr: 3.0000e-05 eta: 5:50:30 time: 0.6273 data_time: 0.0622 memory: 26763 loss_ce: 0.0053 loss: 0.0053 2022/09/16 06:48:17 - mmengine - INFO - Epoch(train) [4][18900/31614] lr: 3.0000e-05 eta: 5:49:44 time: 0.4805 data_time: 0.0030 memory: 26763 loss_ce: 0.0067 loss: 0.0067 2022/09/16 06:49:06 - mmengine - INFO - Epoch(train) [4][19000/31614] lr: 3.0000e-05 eta: 5:48:58 time: 0.4726 data_time: 0.0028 memory: 26763 loss_ce: 0.0097 loss: 0.0097 2022/09/16 06:49:56 - mmengine - INFO - Epoch(train) [4][19100/31614] lr: 3.0000e-05 eta: 5:48:11 time: 0.3824 data_time: 0.0026 memory: 26763 loss_ce: 0.0070 loss: 0.0070 2022/09/16 06:50:27 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 06:50:46 - mmengine - INFO - Epoch(train) [4][19200/31614] lr: 3.0000e-05 eta: 5:47:25 time: 0.4397 data_time: 0.0064 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 06:51:39 - mmengine - INFO - Epoch(train) [4][19300/31614] lr: 3.0000e-05 eta: 5:46:40 time: 0.6810 data_time: 0.1104 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 06:52:29 - mmengine - INFO - Epoch(train) [4][19400/31614] lr: 3.0000e-05 eta: 5:45:53 time: 0.6249 data_time: 0.0666 memory: 26763 loss_ce: 0.0079 loss: 0.0079 2022/09/16 06:53:19 - mmengine - INFO - Epoch(train) [4][19500/31614] lr: 3.0000e-05 eta: 5:45:07 time: 0.4599 data_time: 0.0037 memory: 26763 loss_ce: 0.0083 loss: 0.0083 2022/09/16 06:54:08 - mmengine - INFO - Epoch(train) [4][19600/31614] lr: 3.0000e-05 eta: 5:44:20 time: 0.4266 data_time: 0.0024 memory: 26763 loss_ce: 0.0048 loss: 0.0048 2022/09/16 06:54:57 - mmengine - INFO - Epoch(train) [4][19700/31614] lr: 3.0000e-05 eta: 5:43:34 time: 0.4119 data_time: 0.0026 memory: 26763 loss_ce: 0.0059 loss: 0.0059 2022/09/16 06:55:47 - mmengine - INFO - Epoch(train) [4][19800/31614] lr: 3.0000e-05 eta: 5:42:47 time: 0.4604 data_time: 0.0070 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 06:56:38 - mmengine - INFO - Epoch(train) [4][19900/31614] lr: 3.0000e-05 eta: 5:42:01 time: 0.6153 data_time: 0.0894 memory: 26763 loss_ce: 0.0045 loss: 0.0045 2022/09/16 06:57:28 - mmengine - INFO - Epoch(train) [4][20000/31614] lr: 3.0000e-05 eta: 5:41:15 time: 0.6210 data_time: 0.0976 memory: 26763 loss_ce: 0.0105 loss: 0.0105 2022/09/16 06:58:17 - mmengine - INFO - Epoch(train) [4][20100/31614] lr: 3.0000e-05 eta: 5:40:28 time: 0.4774 data_time: 0.0064 memory: 26763 loss_ce: 0.0054 loss: 0.0054 2022/09/16 06:58:45 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 06:59:07 - mmengine - INFO - Epoch(train) [4][20200/31614] lr: 3.0000e-05 eta: 5:39:42 time: 0.3947 data_time: 0.0060 memory: 26763 loss_ce: 0.0063 loss: 0.0063 2022/09/16 06:59:57 - mmengine - INFO - Epoch(train) [4][20300/31614] lr: 3.0000e-05 eta: 5:38:55 time: 0.3915 data_time: 0.0034 memory: 26763 loss_ce: 0.0074 loss: 0.0074 2022/09/16 07:00:48 - mmengine - INFO - Epoch(train) [4][20400/31614] lr: 3.0000e-05 eta: 5:38:09 time: 0.4804 data_time: 0.0063 memory: 26763 loss_ce: 0.0077 loss: 0.0077 2022/09/16 07:01:39 - mmengine - INFO - Epoch(train) [4][20500/31614] lr: 3.0000e-05 eta: 5:37:23 time: 0.6158 data_time: 0.0914 memory: 26763 loss_ce: 0.0088 loss: 0.0088 2022/09/16 07:02:29 - mmengine - INFO - Epoch(train) [4][20600/31614] lr: 3.0000e-05 eta: 5:36:37 time: 0.6575 data_time: 0.0879 memory: 26763 loss_ce: 0.0076 loss: 0.0076 2022/09/16 07:03:19 - mmengine - INFO - Epoch(train) [4][20700/31614] lr: 3.0000e-05 eta: 5:35:50 time: 0.4898 data_time: 0.0027 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 07:04:08 - mmengine - INFO - Epoch(train) [4][20800/31614] lr: 3.0000e-05 eta: 5:35:04 time: 0.3932 data_time: 0.0032 memory: 26763 loss_ce: 0.0083 loss: 0.0083 2022/09/16 07:04:58 - mmengine - INFO - Epoch(train) [4][20900/31614] lr: 3.0000e-05 eta: 5:34:17 time: 0.3836 data_time: 0.0032 memory: 26763 loss_ce: 0.0056 loss: 0.0056 2022/09/16 07:05:49 - mmengine - INFO - Epoch(train) [4][21000/31614] lr: 3.0000e-05 eta: 5:33:31 time: 0.4573 data_time: 0.0089 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 07:06:39 - mmengine - INFO - Epoch(train) [4][21100/31614] lr: 3.0000e-05 eta: 5:32:45 time: 0.6004 data_time: 0.0879 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 07:07:06 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 07:07:28 - mmengine - INFO - Epoch(train) [4][21200/31614] lr: 3.0000e-05 eta: 5:31:58 time: 0.7003 data_time: 0.1143 memory: 26763 loss_ce: 0.0051 loss: 0.0051 2022/09/16 07:08:19 - mmengine - INFO - Epoch(train) [4][21300/31614] lr: 3.0000e-05 eta: 5:31:12 time: 0.4952 data_time: 0.0035 memory: 26763 loss_ce: 0.0057 loss: 0.0057 2022/09/16 07:09:10 - mmengine - INFO - Epoch(train) [4][21400/31614] lr: 3.0000e-05 eta: 5:30:25 time: 0.4004 data_time: 0.0028 memory: 26763 loss_ce: 0.0066 loss: 0.0066 2022/09/16 07:10:00 - mmengine - INFO - Epoch(train) [4][21500/31614] lr: 3.0000e-05 eta: 5:29:39 time: 0.3900 data_time: 0.0028 memory: 26763 loss_ce: 0.0060 loss: 0.0060 2022/09/16 07:10:50 - mmengine - INFO - Epoch(train) [4][21600/31614] lr: 3.0000e-05 eta: 5:28:53 time: 0.4194 data_time: 0.0086 memory: 26763 loss_ce: 0.0072 loss: 0.0072 2022/09/16 07:11:41 - mmengine - INFO - Epoch(train) [4][21700/31614] lr: 3.0000e-05 eta: 5:28:06 time: 0.6435 data_time: 0.1138 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 07:12:31 - mmengine - INFO - Epoch(train) [4][21800/31614] lr: 3.0000e-05 eta: 5:27:20 time: 0.6943 data_time: 0.1005 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 07:13:21 - mmengine - INFO - Epoch(train) [4][21900/31614] lr: 3.0000e-05 eta: 5:26:33 time: 0.4602 data_time: 0.0031 memory: 26763 loss_ce: 0.0062 loss: 0.0062 2022/09/16 07:14:10 - mmengine - INFO - Epoch(train) [4][22000/31614] lr: 3.0000e-05 eta: 5:25:47 time: 0.3897 data_time: 0.0030 memory: 26763 loss_ce: 0.0089 loss: 0.0089 2022/09/16 07:14:59 - mmengine - INFO - Epoch(train) [4][22100/31614] lr: 3.0000e-05 eta: 5:25:00 time: 0.3871 data_time: 0.0027 memory: 26763 loss_ce: 0.0078 loss: 0.0078 2022/09/16 07:15:29 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 07:15:49 - mmengine - INFO - Epoch(train) [4][22200/31614] lr: 3.0000e-05 eta: 5:24:13 time: 0.4287 data_time: 0.0078 memory: 26763 loss_ce: 0.0059 loss: 0.0059 2022/09/16 07:16:41 - mmengine - INFO - Epoch(train) [4][22300/31614] lr: 3.0000e-05 eta: 5:23:27 time: 0.6520 data_time: 0.0651 memory: 26763 loss_ce: 0.0072 loss: 0.0072 2022/09/16 07:17:32 - mmengine - INFO - Epoch(train) [4][22400/31614] lr: 3.0000e-05 eta: 5:22:41 time: 0.6786 data_time: 0.0978 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 07:18:22 - mmengine - INFO - Epoch(train) [4][22500/31614] lr: 3.0000e-05 eta: 5:21:55 time: 0.4562 data_time: 0.0027 memory: 26763 loss_ce: 0.0071 loss: 0.0071 2022/09/16 07:19:11 - mmengine - INFO - Epoch(train) [4][22600/31614] lr: 3.0000e-05 eta: 5:21:08 time: 0.3855 data_time: 0.0027 memory: 26763 loss_ce: 0.0079 loss: 0.0079 2022/09/16 07:20:00 - mmengine - INFO - Epoch(train) [4][22700/31614] lr: 3.0000e-05 eta: 5:20:21 time: 0.3890 data_time: 0.0027 memory: 26763 loss_ce: 0.0067 loss: 0.0067 2022/09/16 07:20:50 - mmengine - INFO - Epoch(train) [4][22800/31614] lr: 3.0000e-05 eta: 5:19:34 time: 0.4237 data_time: 0.0087 memory: 26763 loss_ce: 0.0087 loss: 0.0087 2022/09/16 07:21:42 - mmengine - INFO - Epoch(train) [4][22900/31614] lr: 3.0000e-05 eta: 5:18:48 time: 0.6140 data_time: 0.0781 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 07:22:33 - mmengine - INFO - Epoch(train) [4][23000/31614] lr: 3.0000e-05 eta: 5:18:02 time: 0.7009 data_time: 0.0596 memory: 26763 loss_ce: 0.0071 loss: 0.0071 2022/09/16 07:23:21 - mmengine - INFO - Epoch(train) [4][23100/31614] lr: 3.0000e-05 eta: 5:17:15 time: 0.4665 data_time: 0.0025 memory: 26763 loss_ce: 0.0063 loss: 0.0063 2022/09/16 07:23:49 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 07:24:10 - mmengine - INFO - Epoch(train) [4][23200/31614] lr: 3.0000e-05 eta: 5:16:28 time: 0.3933 data_time: 0.0029 memory: 26763 loss_ce: 0.0081 loss: 0.0081 2022/09/16 07:25:00 - mmengine - INFO - Epoch(train) [4][23300/31614] lr: 3.0000e-05 eta: 5:15:42 time: 0.3902 data_time: 0.0028 memory: 26763 loss_ce: 0.0077 loss: 0.0077 2022/09/16 07:25:53 - mmengine - INFO - Epoch(train) [4][23400/31614] lr: 3.0000e-05 eta: 5:14:56 time: 0.5529 data_time: 0.1071 memory: 26763 loss_ce: 0.0062 loss: 0.0062 2022/09/16 07:26:43 - mmengine - INFO - Epoch(train) [4][23500/31614] lr: 3.0000e-05 eta: 5:14:09 time: 0.5903 data_time: 0.0652 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 07:27:33 - mmengine - INFO - Epoch(train) [4][23600/31614] lr: 3.0000e-05 eta: 5:13:23 time: 0.6227 data_time: 0.0526 memory: 26763 loss_ce: 0.0053 loss: 0.0053 2022/09/16 07:28:22 - mmengine - INFO - Epoch(train) [4][23700/31614] lr: 3.0000e-05 eta: 5:12:36 time: 0.4841 data_time: 0.0044 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 07:29:12 - mmengine - INFO - Epoch(train) [4][23800/31614] lr: 3.0000e-05 eta: 5:11:49 time: 0.3874 data_time: 0.0028 memory: 26763 loss_ce: 0.0060 loss: 0.0060 2022/09/16 07:30:01 - mmengine - INFO - Epoch(train) [4][23900/31614] lr: 3.0000e-05 eta: 5:11:02 time: 0.3912 data_time: 0.0029 memory: 26763 loss_ce: 0.0089 loss: 0.0089 2022/09/16 07:30:53 - mmengine - INFO - Epoch(train) [4][24000/31614] lr: 3.0000e-05 eta: 5:10:16 time: 0.5511 data_time: 0.0977 memory: 26763 loss_ce: 0.0064 loss: 0.0064 2022/09/16 07:31:42 - mmengine - INFO - Epoch(train) [4][24100/31614] lr: 3.0000e-05 eta: 5:09:29 time: 0.5396 data_time: 0.0577 memory: 26763 loss_ce: 0.0050 loss: 0.0050 2022/09/16 07:32:09 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 07:32:31 - mmengine - INFO - Epoch(train) [4][24200/31614] lr: 3.0000e-05 eta: 5:08:42 time: 0.5933 data_time: 0.0642 memory: 26763 loss_ce: 0.0066 loss: 0.0066 2022/09/16 07:33:21 - mmengine - INFO - Epoch(train) [4][24300/31614] lr: 3.0000e-05 eta: 5:07:55 time: 0.4970 data_time: 0.0027 memory: 26763 loss_ce: 0.0047 loss: 0.0047 2022/09/16 07:34:10 - mmengine - INFO - Epoch(train) [4][24400/31614] lr: 3.0000e-05 eta: 5:07:09 time: 0.3858 data_time: 0.0027 memory: 26763 loss_ce: 0.0088 loss: 0.0088 2022/09/16 07:35:00 - mmengine - INFO - Epoch(train) [4][24500/31614] lr: 3.0000e-05 eta: 5:06:22 time: 0.3894 data_time: 0.0030 memory: 26763 loss_ce: 0.0067 loss: 0.0067 2022/09/16 07:35:50 - mmengine - INFO - Epoch(train) [4][24600/31614] lr: 3.0000e-05 eta: 5:05:35 time: 0.4556 data_time: 0.0529 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 07:36:39 - mmengine - INFO - Epoch(train) [4][24700/31614] lr: 3.0000e-05 eta: 5:04:48 time: 0.5435 data_time: 0.0610 memory: 26763 loss_ce: 0.0079 loss: 0.0079 2022/09/16 07:37:30 - mmengine - INFO - Epoch(train) [4][24800/31614] lr: 3.0000e-05 eta: 5:04:02 time: 0.6376 data_time: 0.0926 memory: 26763 loss_ce: 0.0062 loss: 0.0062 2022/09/16 07:38:19 - mmengine - INFO - Epoch(train) [4][24900/31614] lr: 3.0000e-05 eta: 5:03:15 time: 0.4808 data_time: 0.0036 memory: 26763 loss_ce: 0.0076 loss: 0.0076 2022/09/16 07:39:09 - mmengine - INFO - Epoch(train) [4][25000/31614] lr: 3.0000e-05 eta: 5:02:28 time: 0.3916 data_time: 0.0029 memory: 26763 loss_ce: 0.0082 loss: 0.0082 2022/09/16 07:39:58 - mmengine - INFO - Epoch(train) [4][25100/31614] lr: 3.0000e-05 eta: 5:01:41 time: 0.3799 data_time: 0.0025 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 07:40:28 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 07:40:48 - mmengine - INFO - Epoch(train) [4][25200/31614] lr: 3.0000e-05 eta: 5:00:55 time: 0.5101 data_time: 0.0714 memory: 26763 loss_ce: 0.0072 loss: 0.0072 2022/09/16 07:41:39 - mmengine - INFO - Epoch(train) [4][25300/31614] lr: 3.0000e-05 eta: 5:00:08 time: 0.5831 data_time: 0.0954 memory: 26763 loss_ce: 0.0066 loss: 0.0066 2022/09/16 07:42:29 - mmengine - INFO - Epoch(train) [4][25400/31614] lr: 3.0000e-05 eta: 4:59:22 time: 0.5737 data_time: 0.0569 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 07:43:20 - mmengine - INFO - Epoch(train) [4][25500/31614] lr: 3.0000e-05 eta: 4:58:35 time: 0.5576 data_time: 0.0031 memory: 26763 loss_ce: 0.0097 loss: 0.0097 2022/09/16 07:44:08 - mmengine - INFO - Epoch(train) [4][25600/31614] lr: 3.0000e-05 eta: 4:57:48 time: 0.3834 data_time: 0.0027 memory: 26763 loss_ce: 0.0043 loss: 0.0043 2022/09/16 07:44:57 - mmengine - INFO - Epoch(train) [4][25700/31614] lr: 3.0000e-05 eta: 4:57:01 time: 0.3917 data_time: 0.0028 memory: 26763 loss_ce: 0.0051 loss: 0.0051 2022/09/16 07:45:48 - mmengine - INFO - Epoch(train) [4][25800/31614] lr: 3.0000e-05 eta: 4:56:14 time: 0.5191 data_time: 0.1002 memory: 26763 loss_ce: 0.0079 loss: 0.0079 2022/09/16 07:46:39 - mmengine - INFO - Epoch(train) [4][25900/31614] lr: 3.0000e-05 eta: 4:55:28 time: 0.6625 data_time: 0.1036 memory: 26763 loss_ce: 0.0070 loss: 0.0070 2022/09/16 07:47:29 - mmengine - INFO - Epoch(train) [4][26000/31614] lr: 3.0000e-05 eta: 4:54:41 time: 0.6058 data_time: 0.0567 memory: 26763 loss_ce: 0.0071 loss: 0.0071 2022/09/16 07:48:18 - mmengine - INFO - Epoch(train) [4][26100/31614] lr: 3.0000e-05 eta: 4:53:54 time: 0.4578 data_time: 0.0022 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 07:48:46 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 07:49:08 - mmengine - INFO - Epoch(train) [4][26200/31614] lr: 3.0000e-05 eta: 4:53:07 time: 0.3907 data_time: 0.0028 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 07:49:58 - mmengine - INFO - Epoch(train) [4][26300/31614] lr: 3.0000e-05 eta: 4:52:21 time: 0.3845 data_time: 0.0026 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 07:50:49 - mmengine - INFO - Epoch(train) [4][26400/31614] lr: 3.0000e-05 eta: 4:51:34 time: 0.5026 data_time: 0.0922 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/16 07:51:39 - mmengine - INFO - Epoch(train) [4][26500/31614] lr: 3.0000e-05 eta: 4:50:47 time: 0.6224 data_time: 0.1078 memory: 26763 loss_ce: 0.0062 loss: 0.0062 2022/09/16 07:52:29 - mmengine - INFO - Epoch(train) [4][26600/31614] lr: 3.0000e-05 eta: 4:50:01 time: 0.6693 data_time: 0.0543 memory: 26763 loss_ce: 0.0091 loss: 0.0091 2022/09/16 07:53:18 - mmengine - INFO - Epoch(train) [4][26700/31614] lr: 3.0000e-05 eta: 4:49:14 time: 0.5016 data_time: 0.0033 memory: 26763 loss_ce: 0.0098 loss: 0.0098 2022/09/16 07:54:07 - mmengine - INFO - Epoch(train) [4][26800/31614] lr: 3.0000e-05 eta: 4:48:27 time: 0.4126 data_time: 0.0026 memory: 26763 loss_ce: 0.0076 loss: 0.0076 2022/09/16 07:54:58 - mmengine - INFO - Epoch(train) [4][26900/31614] lr: 3.0000e-05 eta: 4:47:40 time: 0.3903 data_time: 0.0030 memory: 26763 loss_ce: 0.0083 loss: 0.0083 2022/09/16 07:55:49 - mmengine - INFO - Epoch(train) [4][27000/31614] lr: 3.0000e-05 eta: 4:46:54 time: 0.4729 data_time: 0.0579 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 07:56:40 - mmengine - INFO - Epoch(train) [4][27100/31614] lr: 3.0000e-05 eta: 4:46:07 time: 0.5784 data_time: 0.0928 memory: 26763 loss_ce: 0.0068 loss: 0.0068 2022/09/16 07:57:08 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 07:57:30 - mmengine - INFO - Epoch(train) [4][27200/31614] lr: 3.0000e-05 eta: 4:45:20 time: 0.6711 data_time: 0.0927 memory: 26763 loss_ce: 0.0068 loss: 0.0068 2022/09/16 07:58:20 - mmengine - INFO - Epoch(train) [4][27300/31614] lr: 3.0000e-05 eta: 4:44:33 time: 0.4759 data_time: 0.0026 memory: 26763 loss_ce: 0.0066 loss: 0.0066 2022/09/16 07:59:09 - mmengine - INFO - Epoch(train) [4][27400/31614] lr: 3.0000e-05 eta: 4:43:46 time: 0.3875 data_time: 0.0030 memory: 26763 loss_ce: 0.0100 loss: 0.0100 2022/09/16 07:59:58 - mmengine - INFO - Epoch(train) [4][27500/31614] lr: 3.0000e-05 eta: 4:42:59 time: 0.3819 data_time: 0.0028 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 08:00:50 - mmengine - INFO - Epoch(train) [4][27600/31614] lr: 3.0000e-05 eta: 4:42:13 time: 0.5451 data_time: 0.0874 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 08:01:41 - mmengine - INFO - Epoch(train) [4][27700/31614] lr: 3.0000e-05 eta: 4:41:26 time: 0.6215 data_time: 0.0972 memory: 26763 loss_ce: 0.0071 loss: 0.0071 2022/09/16 08:02:30 - mmengine - INFO - Epoch(train) [4][27800/31614] lr: 3.0000e-05 eta: 4:40:39 time: 0.5991 data_time: 0.0503 memory: 26763 loss_ce: 0.0078 loss: 0.0078 2022/09/16 08:03:20 - mmengine - INFO - Epoch(train) [4][27900/31614] lr: 3.0000e-05 eta: 4:39:52 time: 0.4525 data_time: 0.0037 memory: 26763 loss_ce: 0.0078 loss: 0.0078 2022/09/16 08:04:10 - mmengine - INFO - Epoch(train) [4][28000/31614] lr: 3.0000e-05 eta: 4:39:06 time: 0.4164 data_time: 0.0033 memory: 26763 loss_ce: 0.0093 loss: 0.0093 2022/09/16 08:05:01 - mmengine - INFO - Epoch(train) [4][28100/31614] lr: 3.0000e-05 eta: 4:38:19 time: 0.3870 data_time: 0.0028 memory: 26763 loss_ce: 0.0058 loss: 0.0058 2022/09/16 08:05:31 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 08:05:51 - mmengine - INFO - Epoch(train) [4][28200/31614] lr: 3.0000e-05 eta: 4:37:32 time: 0.5080 data_time: 0.0910 memory: 26763 loss_ce: 0.0078 loss: 0.0078 2022/09/16 08:06:41 - mmengine - INFO - Epoch(train) [4][28300/31614] lr: 3.0000e-05 eta: 4:36:45 time: 0.5812 data_time: 0.0649 memory: 26763 loss_ce: 0.0087 loss: 0.0087 2022/09/16 08:07:32 - mmengine - INFO - Epoch(train) [4][28400/31614] lr: 3.0000e-05 eta: 4:35:59 time: 0.6742 data_time: 0.0861 memory: 26763 loss_ce: 0.0081 loss: 0.0081 2022/09/16 08:08:21 - mmengine - INFO - Epoch(train) [4][28500/31614] lr: 3.0000e-05 eta: 4:35:12 time: 0.4729 data_time: 0.0030 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 08:09:11 - mmengine - INFO - Epoch(train) [4][28600/31614] lr: 3.0000e-05 eta: 4:34:25 time: 0.4137 data_time: 0.0297 memory: 26763 loss_ce: 0.0052 loss: 0.0052 2022/09/16 08:10:00 - mmengine - INFO - Epoch(train) [4][28700/31614] lr: 3.0000e-05 eta: 4:33:38 time: 0.4067 data_time: 0.0264 memory: 26763 loss_ce: 0.0102 loss: 0.0102 2022/09/16 08:10:51 - mmengine - INFO - Epoch(train) [4][28800/31614] lr: 3.0000e-05 eta: 4:32:51 time: 0.4541 data_time: 0.0316 memory: 26763 loss_ce: 0.0059 loss: 0.0059 2022/09/16 08:11:41 - mmengine - INFO - Epoch(train) [4][28900/31614] lr: 3.0000e-05 eta: 4:32:04 time: 0.5294 data_time: 0.0406 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 08:12:31 - mmengine - INFO - Epoch(train) [4][29000/31614] lr: 3.0000e-05 eta: 4:31:17 time: 0.6166 data_time: 0.0725 memory: 26763 loss_ce: 0.0062 loss: 0.0062 2022/09/16 08:13:21 - mmengine - INFO - Epoch(train) [4][29100/31614] lr: 3.0000e-05 eta: 4:30:30 time: 0.5320 data_time: 0.0027 memory: 26763 loss_ce: 0.0068 loss: 0.0068 2022/09/16 08:13:49 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 08:14:11 - mmengine - INFO - Epoch(train) [4][29200/31614] lr: 3.0000e-05 eta: 4:29:43 time: 0.4227 data_time: 0.0423 memory: 26763 loss_ce: 0.0078 loss: 0.0078 2022/09/16 08:15:00 - mmengine - INFO - Epoch(train) [4][29300/31614] lr: 3.0000e-05 eta: 4:28:56 time: 0.4404 data_time: 0.0566 memory: 26763 loss_ce: 0.0074 loss: 0.0074 2022/09/16 08:15:51 - mmengine - INFO - Epoch(train) [4][29400/31614] lr: 3.0000e-05 eta: 4:28:10 time: 0.5019 data_time: 0.0353 memory: 26763 loss_ce: 0.0076 loss: 0.0076 2022/09/16 08:16:41 - mmengine - INFO - Epoch(train) [4][29500/31614] lr: 3.0000e-05 eta: 4:27:23 time: 0.5620 data_time: 0.0355 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 08:17:31 - mmengine - INFO - Epoch(train) [4][29600/31614] lr: 3.0000e-05 eta: 4:26:36 time: 0.6456 data_time: 0.0698 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 08:18:22 - mmengine - INFO - Epoch(train) [4][29700/31614] lr: 3.0000e-05 eta: 4:25:49 time: 0.5250 data_time: 0.0031 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 08:19:11 - mmengine - INFO - Epoch(train) [4][29800/31614] lr: 3.0000e-05 eta: 4:25:02 time: 0.4104 data_time: 0.0261 memory: 26763 loss_ce: 0.0079 loss: 0.0079 2022/09/16 08:20:01 - mmengine - INFO - Epoch(train) [4][29900/31614] lr: 3.0000e-05 eta: 4:24:15 time: 0.4487 data_time: 0.0646 memory: 26763 loss_ce: 0.0074 loss: 0.0074 2022/09/16 08:20:51 - mmengine - INFO - Epoch(train) [4][30000/31614] lr: 3.0000e-05 eta: 4:23:28 time: 0.4836 data_time: 0.0344 memory: 26763 loss_ce: 0.0080 loss: 0.0080 2022/09/16 08:21:42 - mmengine - INFO - Epoch(train) [4][30100/31614] lr: 3.0000e-05 eta: 4:22:41 time: 0.5962 data_time: 0.0391 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 08:22:11 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 08:22:32 - mmengine - INFO - Epoch(train) [4][30200/31614] lr: 3.0000e-05 eta: 4:21:54 time: 0.6270 data_time: 0.0787 memory: 26763 loss_ce: 0.0076 loss: 0.0076 2022/09/16 08:23:22 - mmengine - INFO - Epoch(train) [4][30300/31614] lr: 3.0000e-05 eta: 4:21:07 time: 0.4746 data_time: 0.0040 memory: 26763 loss_ce: 0.0078 loss: 0.0078 2022/09/16 08:24:11 - mmengine - INFO - Epoch(train) [4][30400/31614] lr: 3.0000e-05 eta: 4:20:20 time: 0.4078 data_time: 0.0318 memory: 26763 loss_ce: 0.0071 loss: 0.0071 2022/09/16 08:25:01 - mmengine - INFO - Epoch(train) [4][30500/31614] lr: 3.0000e-05 eta: 4:19:33 time: 0.4143 data_time: 0.0335 memory: 26763 loss_ce: 0.0063 loss: 0.0063 2022/09/16 08:25:51 - mmengine - INFO - Epoch(train) [4][30600/31614] lr: 3.0000e-05 eta: 4:18:46 time: 0.4551 data_time: 0.0342 memory: 26763 loss_ce: 0.0082 loss: 0.0082 2022/09/16 08:26:42 - mmengine - INFO - Epoch(train) [4][30700/31614] lr: 3.0000e-05 eta: 4:18:00 time: 0.5526 data_time: 0.0808 memory: 26763 loss_ce: 0.0090 loss: 0.0090 2022/09/16 08:27:32 - mmengine - INFO - Epoch(train) [4][30800/31614] lr: 3.0000e-05 eta: 4:17:13 time: 0.5840 data_time: 0.0378 memory: 26763 loss_ce: 0.0077 loss: 0.0077 2022/09/16 08:28:21 - mmengine - INFO - Epoch(train) [4][30900/31614] lr: 3.0000e-05 eta: 4:16:25 time: 0.4766 data_time: 0.0026 memory: 26763 loss_ce: 0.0089 loss: 0.0089 2022/09/16 08:29:11 - mmengine - INFO - Epoch(train) [4][31000/31614] lr: 3.0000e-05 eta: 4:15:38 time: 0.4158 data_time: 0.0264 memory: 26763 loss_ce: 0.0098 loss: 0.0098 2022/09/16 08:30:01 - mmengine - INFO - Epoch(train) [4][31100/31614] lr: 3.0000e-05 eta: 4:14:51 time: 0.4485 data_time: 0.0548 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 08:30:32 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 08:30:52 - mmengine - INFO - Epoch(train) [4][31200/31614] lr: 3.0000e-05 eta: 4:14:05 time: 0.4630 data_time: 0.0435 memory: 26763 loss_ce: 0.0079 loss: 0.0079 2022/09/16 08:31:44 - mmengine - INFO - Epoch(train) [4][31300/31614] lr: 3.0000e-05 eta: 4:13:18 time: 0.6316 data_time: 0.0765 memory: 26763 loss_ce: 0.0048 loss: 0.0048 2022/09/16 08:32:34 - mmengine - INFO - Epoch(train) [4][31400/31614] lr: 3.0000e-05 eta: 4:12:31 time: 0.6300 data_time: 0.0462 memory: 26763 loss_ce: 0.0071 loss: 0.0071 2022/09/16 08:33:24 - mmengine - INFO - Epoch(train) [4][31500/31614] lr: 3.0000e-05 eta: 4:11:44 time: 0.4086 data_time: 0.0051 memory: 26763 loss_ce: 0.0040 loss: 0.0040 2022/09/16 08:34:14 - mmengine - INFO - Epoch(train) [4][31600/31614] lr: 3.0000e-05 eta: 4:10:57 time: 0.4514 data_time: 0.0263 memory: 26763 loss_ce: 0.0088 loss: 0.0088 2022/09/16 08:34:20 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 08:34:20 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/09/16 08:35:42 - mmengine - INFO - Epoch(val) [4][100/1918] eta: 0:05:39 time: 0.1865 data_time: 0.0014 memory: 26763 2022/09/16 08:36:01 - mmengine - INFO - Epoch(val) [4][200/1918] eta: 0:05:11 time: 0.1814 data_time: 0.0008 memory: 1275 2022/09/16 08:36:20 - mmengine - INFO - Epoch(val) [4][300/1918] eta: 0:05:09 time: 0.1916 data_time: 0.0008 memory: 1275 2022/09/16 08:36:39 - mmengine - INFO - Epoch(val) [4][400/1918] eta: 0:04:46 time: 0.1890 data_time: 0.0008 memory: 1275 2022/09/16 08:36:58 - mmengine - INFO - Epoch(val) [4][500/1918] eta: 0:04:33 time: 0.1931 data_time: 0.0009 memory: 1275 2022/09/16 08:37:17 - mmengine - INFO - Epoch(val) [4][600/1918] eta: 0:04:04 time: 0.1854 data_time: 0.0011 memory: 1275 2022/09/16 08:37:36 - mmengine - INFO - Epoch(val) [4][700/1918] eta: 0:03:56 time: 0.1945 data_time: 0.0009 memory: 1275 2022/09/16 08:37:56 - mmengine - INFO - Epoch(val) [4][800/1918] eta: 0:03:35 time: 0.1932 data_time: 0.0008 memory: 1275 2022/09/16 08:38:15 - mmengine - INFO - Epoch(val) [4][900/1918] eta: 0:03:18 time: 0.1945 data_time: 0.0011 memory: 1275 2022/09/16 08:38:34 - mmengine - INFO - Epoch(val) [4][1000/1918] eta: 0:02:55 time: 0.1915 data_time: 0.0018 memory: 1275 2022/09/16 08:38:54 - mmengine - INFO - Epoch(val) [4][1100/1918] eta: 0:02:32 time: 0.1858 data_time: 0.0011 memory: 1275 2022/09/16 08:39:13 - mmengine - INFO - Epoch(val) [4][1200/1918] eta: 0:02:25 time: 0.2033 data_time: 0.0009 memory: 1275 2022/09/16 08:39:32 - mmengine - INFO - Epoch(val) [4][1300/1918] eta: 0:01:58 time: 0.1910 data_time: 0.0009 memory: 1275 2022/09/16 08:39:52 - mmengine - INFO - Epoch(val) [4][1400/1918] eta: 0:01:39 time: 0.1920 data_time: 0.0009 memory: 1275 2022/09/16 08:40:11 - mmengine - INFO - Epoch(val) [4][1500/1918] eta: 0:01:13 time: 0.1752 data_time: 0.0009 memory: 1275 2022/09/16 08:40:30 - mmengine - INFO - Epoch(val) [4][1600/1918] eta: 0:00:59 time: 0.1868 data_time: 0.0008 memory: 1275 2022/09/16 08:40:49 - mmengine - INFO - Epoch(val) [4][1700/1918] eta: 0:00:42 time: 0.1940 data_time: 0.0027 memory: 1275 2022/09/16 08:41:08 - mmengine - INFO - Epoch(val) [4][1800/1918] eta: 0:00:22 time: 0.1868 data_time: 0.0030 memory: 1275 2022/09/16 08:41:27 - mmengine - INFO - Epoch(val) [4][1900/1918] eta: 0:00:03 time: 0.2002 data_time: 0.0008 memory: 1275 2022/09/16 08:41:38 - mmengine - INFO - Epoch(val) [4][1918/1918] CUTE80/recog/word_acc_ignore_case_symbol: 0.8993 IIIT5K/recog/word_acc_ignore_case_symbol: 0.9600 SVT/recog/word_acc_ignore_case_symbol: 0.9196 SVTP/recog/word_acc_ignore_case_symbol: 0.8837 IC13/recog/word_acc_ignore_case_symbol: 0.9606 IC15/recog/word_acc_ignore_case_symbol: 0.8031 2022/09/16 08:42:28 - mmengine - INFO - Epoch(train) [5][100/31614] lr: 3.0000e-06 eta: 4:10:03 time: 0.4920 data_time: 0.0890 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 08:43:15 - mmengine - INFO - Epoch(train) [5][200/31614] lr: 3.0000e-06 eta: 4:09:15 time: 0.5274 data_time: 0.0619 memory: 26763 loss_ce: 0.0067 loss: 0.0067 2022/09/16 08:44:02 - mmengine - INFO - Epoch(train) [5][300/31614] lr: 3.0000e-06 eta: 4:08:27 time: 0.5091 data_time: 0.0156 memory: 26763 loss_ce: 0.0079 loss: 0.0079 2022/09/16 08:44:48 - mmengine - INFO - Epoch(train) [5][400/31614] lr: 3.0000e-06 eta: 4:07:39 time: 0.4174 data_time: 0.0047 memory: 26763 loss_ce: 0.0062 loss: 0.0062 2022/09/16 08:45:35 - mmengine - INFO - Epoch(train) [5][500/31614] lr: 3.0000e-06 eta: 4:06:52 time: 0.4117 data_time: 0.0114 memory: 26763 loss_ce: 0.0068 loss: 0.0068 2022/09/16 08:45:57 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 08:46:22 - mmengine - INFO - Epoch(train) [5][600/31614] lr: 3.0000e-06 eta: 4:06:04 time: 0.3982 data_time: 0.0106 memory: 26763 loss_ce: 0.0043 loss: 0.0043 2022/09/16 08:47:10 - mmengine - INFO - Epoch(train) [5][700/31614] lr: 3.0000e-06 eta: 4:05:16 time: 0.5691 data_time: 0.0534 memory: 26763 loss_ce: 0.0062 loss: 0.0062 2022/09/16 08:47:57 - mmengine - INFO - Epoch(train) [5][800/31614] lr: 3.0000e-06 eta: 4:04:28 time: 0.5565 data_time: 0.0624 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 08:48:44 - mmengine - INFO - Epoch(train) [5][900/31614] lr: 3.0000e-06 eta: 4:03:41 time: 0.4205 data_time: 0.0158 memory: 26763 loss_ce: 0.0063 loss: 0.0063 2022/09/16 08:49:31 - mmengine - INFO - Epoch(train) [5][1000/31614] lr: 3.0000e-06 eta: 4:02:53 time: 0.4395 data_time: 0.0028 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/16 08:50:18 - mmengine - INFO - Epoch(train) [5][1100/31614] lr: 3.0000e-06 eta: 4:02:05 time: 0.3984 data_time: 0.0087 memory: 26763 loss_ce: 0.0070 loss: 0.0070 2022/09/16 08:51:06 - mmengine - INFO - Epoch(train) [5][1200/31614] lr: 3.0000e-06 eta: 4:01:18 time: 0.4267 data_time: 0.0085 memory: 26763 loss_ce: 0.0080 loss: 0.0080 2022/09/16 08:51:54 - mmengine - INFO - Epoch(train) [5][1300/31614] lr: 3.0000e-06 eta: 4:00:30 time: 0.5344 data_time: 0.0580 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 08:52:41 - mmengine - INFO - Epoch(train) [5][1400/31614] lr: 3.0000e-06 eta: 3:59:42 time: 0.5227 data_time: 0.0549 memory: 26763 loss_ce: 0.0064 loss: 0.0064 2022/09/16 08:53:28 - mmengine - INFO - Epoch(train) [5][1500/31614] lr: 3.0000e-06 eta: 3:58:55 time: 0.4561 data_time: 0.0177 memory: 26763 loss_ce: 0.0058 loss: 0.0058 2022/09/16 08:53:49 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 08:54:15 - mmengine - INFO - Epoch(train) [5][1600/31614] lr: 3.0000e-06 eta: 3:58:07 time: 0.4051 data_time: 0.0026 memory: 26763 loss_ce: 0.0049 loss: 0.0049 2022/09/16 08:55:02 - mmengine - INFO - Epoch(train) [5][1700/31614] lr: 3.0000e-06 eta: 3:57:19 time: 0.3941 data_time: 0.0085 memory: 26763 loss_ce: 0.0089 loss: 0.0089 2022/09/16 08:55:49 - mmengine - INFO - Epoch(train) [5][1800/31614] lr: 3.0000e-06 eta: 3:56:31 time: 0.4013 data_time: 0.0084 memory: 26763 loss_ce: 0.0105 loss: 0.0105 2022/09/16 08:56:37 - mmengine - INFO - Epoch(train) [5][1900/31614] lr: 3.0000e-06 eta: 3:55:44 time: 0.5588 data_time: 0.0947 memory: 26763 loss_ce: 0.0054 loss: 0.0054 2022/09/16 08:57:25 - mmengine - INFO - Epoch(train) [5][2000/31614] lr: 3.0000e-06 eta: 3:54:56 time: 0.5569 data_time: 0.0905 memory: 26763 loss_ce: 0.0050 loss: 0.0050 2022/09/16 08:58:12 - mmengine - INFO - Epoch(train) [5][2100/31614] lr: 3.0000e-06 eta: 3:54:09 time: 0.4286 data_time: 0.0163 memory: 26763 loss_ce: 0.0101 loss: 0.0101 2022/09/16 08:58:59 - mmengine - INFO - Epoch(train) [5][2200/31614] lr: 3.0000e-06 eta: 3:53:21 time: 0.4466 data_time: 0.0031 memory: 26763 loss_ce: 0.0060 loss: 0.0060 2022/09/16 08:59:46 - mmengine - INFO - Epoch(train) [5][2300/31614] lr: 3.0000e-06 eta: 3:52:33 time: 0.3932 data_time: 0.0110 memory: 26763 loss_ce: 0.0052 loss: 0.0052 2022/09/16 09:00:33 - mmengine - INFO - Epoch(train) [5][2400/31614] lr: 3.0000e-06 eta: 3:51:45 time: 0.4005 data_time: 0.0094 memory: 26763 loss_ce: 0.0053 loss: 0.0053 2022/09/16 09:01:21 - mmengine - INFO - Epoch(train) [5][2500/31614] lr: 3.0000e-06 eta: 3:50:58 time: 0.5459 data_time: 0.0615 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 09:01:41 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 09:02:08 - mmengine - INFO - Epoch(train) [5][2600/31614] lr: 3.0000e-06 eta: 3:50:10 time: 0.5546 data_time: 0.0589 memory: 26763 loss_ce: 0.0080 loss: 0.0080 2022/09/16 09:02:55 - mmengine - INFO - Epoch(train) [5][2700/31614] lr: 3.0000e-06 eta: 3:49:22 time: 0.4273 data_time: 0.0176 memory: 26763 loss_ce: 0.0054 loss: 0.0054 2022/09/16 09:03:42 - mmengine - INFO - Epoch(train) [5][2800/31614] lr: 3.0000e-06 eta: 3:48:35 time: 0.4615 data_time: 0.0033 memory: 26763 loss_ce: 0.0097 loss: 0.0097 2022/09/16 09:04:30 - mmengine - INFO - Epoch(train) [5][2900/31614] lr: 3.0000e-06 eta: 3:47:47 time: 0.3979 data_time: 0.0078 memory: 26763 loss_ce: 0.0050 loss: 0.0050 2022/09/16 09:05:17 - mmengine - INFO - Epoch(train) [5][3000/31614] lr: 3.0000e-06 eta: 3:46:59 time: 0.3992 data_time: 0.0090 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 09:06:05 - mmengine - INFO - Epoch(train) [5][3100/31614] lr: 3.0000e-06 eta: 3:46:12 time: 0.4952 data_time: 0.0532 memory: 26763 loss_ce: 0.0103 loss: 0.0103 2022/09/16 09:06:53 - mmengine - INFO - Epoch(train) [5][3200/31614] lr: 3.0000e-06 eta: 3:45:24 time: 0.5600 data_time: 0.0549 memory: 26763 loss_ce: 0.0055 loss: 0.0055 2022/09/16 09:07:41 - mmengine - INFO - Epoch(train) [5][3300/31614] lr: 3.0000e-06 eta: 3:44:37 time: 0.4581 data_time: 0.0149 memory: 26763 loss_ce: 0.0062 loss: 0.0062 2022/09/16 09:08:29 - mmengine - INFO - Epoch(train) [5][3400/31614] lr: 3.0000e-06 eta: 3:43:49 time: 0.4817 data_time: 0.0029 memory: 26763 loss_ce: 0.0080 loss: 0.0080 2022/09/16 09:09:18 - mmengine - INFO - Epoch(train) [5][3500/31614] lr: 3.0000e-06 eta: 3:43:02 time: 0.3859 data_time: 0.0082 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 09:09:40 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 09:10:07 - mmengine - INFO - Epoch(train) [5][3600/31614] lr: 3.0000e-06 eta: 3:42:15 time: 0.3891 data_time: 0.0081 memory: 26763 loss_ce: 0.0062 loss: 0.0062 2022/09/16 09:10:58 - mmengine - INFO - Epoch(train) [5][3700/31614] lr: 3.0000e-06 eta: 3:41:28 time: 0.5152 data_time: 0.0860 memory: 26763 loss_ce: 0.0070 loss: 0.0070 2022/09/16 09:11:47 - mmengine - INFO - Epoch(train) [5][3800/31614] lr: 3.0000e-06 eta: 3:40:40 time: 0.5447 data_time: 0.0746 memory: 26763 loss_ce: 0.0068 loss: 0.0068 2022/09/16 09:12:33 - mmengine - INFO - Epoch(train) [5][3900/31614] lr: 3.0000e-06 eta: 3:39:52 time: 0.4593 data_time: 0.0124 memory: 26763 loss_ce: 0.0055 loss: 0.0055 2022/09/16 09:13:19 - mmengine - INFO - Epoch(train) [5][4000/31614] lr: 3.0000e-06 eta: 3:39:04 time: 0.4362 data_time: 0.0026 memory: 26763 loss_ce: 0.0050 loss: 0.0050 2022/09/16 09:14:04 - mmengine - INFO - Epoch(train) [5][4100/31614] lr: 3.0000e-06 eta: 3:38:16 time: 0.3792 data_time: 0.0075 memory: 26763 loss_ce: 0.0063 loss: 0.0063 2022/09/16 09:14:50 - mmengine - INFO - Epoch(train) [5][4200/31614] lr: 3.0000e-06 eta: 3:37:28 time: 0.3728 data_time: 0.0069 memory: 26763 loss_ce: 0.0050 loss: 0.0050 2022/09/16 09:15:36 - mmengine - INFO - Epoch(train) [5][4300/31614] lr: 3.0000e-06 eta: 3:36:41 time: 0.4602 data_time: 0.0491 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 09:16:23 - mmengine - INFO - Epoch(train) [5][4400/31614] lr: 3.0000e-06 eta: 3:35:53 time: 0.5498 data_time: 0.0509 memory: 26763 loss_ce: 0.0072 loss: 0.0072 2022/09/16 09:17:10 - mmengine - INFO - Epoch(train) [5][4500/31614] lr: 3.0000e-06 eta: 3:35:05 time: 0.4438 data_time: 0.0126 memory: 26763 loss_ce: 0.0077 loss: 0.0077 2022/09/16 09:17:30 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 09:17:55 - mmengine - INFO - Epoch(train) [5][4600/31614] lr: 3.0000e-06 eta: 3:34:17 time: 0.4326 data_time: 0.0024 memory: 26763 loss_ce: 0.0072 loss: 0.0072 2022/09/16 09:18:42 - mmengine - INFO - Epoch(train) [5][4700/31614] lr: 3.0000e-06 eta: 3:33:29 time: 0.3712 data_time: 0.0066 memory: 26763 loss_ce: 0.0064 loss: 0.0064 2022/09/16 09:19:28 - mmengine - INFO - Epoch(train) [5][4800/31614] lr: 3.0000e-06 eta: 3:32:41 time: 0.3743 data_time: 0.0071 memory: 26763 loss_ce: 0.0045 loss: 0.0045 2022/09/16 09:20:15 - mmengine - INFO - Epoch(train) [5][4900/31614] lr: 3.0000e-06 eta: 3:31:53 time: 0.4768 data_time: 0.0483 memory: 26763 loss_ce: 0.0067 loss: 0.0067 2022/09/16 09:21:01 - mmengine - INFO - Epoch(train) [5][5000/31614] lr: 3.0000e-06 eta: 3:31:06 time: 0.5496 data_time: 0.0505 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 09:21:48 - mmengine - INFO - Epoch(train) [5][5100/31614] lr: 3.0000e-06 eta: 3:30:18 time: 0.4440 data_time: 0.0127 memory: 26763 loss_ce: 0.0048 loss: 0.0048 2022/09/16 09:22:34 - mmengine - INFO - Epoch(train) [5][5200/31614] lr: 3.0000e-06 eta: 3:29:30 time: 0.4682 data_time: 0.0022 memory: 26763 loss_ce: 0.0079 loss: 0.0079 2022/09/16 09:23:20 - mmengine - INFO - Epoch(train) [5][5300/31614] lr: 3.0000e-06 eta: 3:28:42 time: 0.3703 data_time: 0.0067 memory: 26763 loss_ce: 0.0055 loss: 0.0055 2022/09/16 09:24:06 - mmengine - INFO - Epoch(train) [5][5400/31614] lr: 3.0000e-06 eta: 3:27:54 time: 0.4018 data_time: 0.0066 memory: 26763 loss_ce: 0.0052 loss: 0.0052 2022/09/16 09:24:52 - mmengine - INFO - Epoch(train) [5][5500/31614] lr: 3.0000e-06 eta: 3:27:06 time: 0.4751 data_time: 0.0502 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 09:25:11 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 09:25:38 - mmengine - INFO - Epoch(train) [5][5600/31614] lr: 3.0000e-06 eta: 3:26:18 time: 0.5308 data_time: 0.0501 memory: 26763 loss_ce: 0.0048 loss: 0.0048 2022/09/16 09:26:24 - mmengine - INFO - Epoch(train) [5][5700/31614] lr: 3.0000e-06 eta: 3:25:30 time: 0.5078 data_time: 0.0128 memory: 26763 loss_ce: 0.0060 loss: 0.0060 2022/09/16 09:27:09 - mmengine - INFO - Epoch(train) [5][5800/31614] lr: 3.0000e-06 eta: 3:24:42 time: 0.4319 data_time: 0.0022 memory: 26763 loss_ce: 0.0064 loss: 0.0064 2022/09/16 09:27:55 - mmengine - INFO - Epoch(train) [5][5900/31614] lr: 3.0000e-06 eta: 3:23:54 time: 0.3746 data_time: 0.0080 memory: 26763 loss_ce: 0.0059 loss: 0.0059 2022/09/16 09:28:40 - mmengine - INFO - Epoch(train) [5][6000/31614] lr: 3.0000e-06 eta: 3:23:06 time: 0.3773 data_time: 0.0071 memory: 26763 loss_ce: 0.0055 loss: 0.0055 2022/09/16 09:29:27 - mmengine - INFO - Epoch(train) [5][6100/31614] lr: 3.0000e-06 eta: 3:22:19 time: 0.4844 data_time: 0.0484 memory: 26763 loss_ce: 0.0067 loss: 0.0067 2022/09/16 09:30:14 - mmengine - INFO - Epoch(train) [5][6200/31614] lr: 3.0000e-06 eta: 3:21:31 time: 0.5378 data_time: 0.0475 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 09:31:00 - mmengine - INFO - Epoch(train) [5][6300/31614] lr: 3.0000e-06 eta: 3:20:43 time: 0.4981 data_time: 0.0340 memory: 26763 loss_ce: 0.0063 loss: 0.0063 2022/09/16 09:31:46 - mmengine - INFO - Epoch(train) [5][6400/31614] lr: 3.0000e-06 eta: 3:19:55 time: 0.4347 data_time: 0.0023 memory: 26763 loss_ce: 0.0070 loss: 0.0070 2022/09/16 09:32:31 - mmengine - INFO - Epoch(train) [5][6500/31614] lr: 3.0000e-06 eta: 3:19:07 time: 0.3710 data_time: 0.0063 memory: 26763 loss_ce: 0.0067 loss: 0.0067 2022/09/16 09:32:52 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 09:33:17 - mmengine - INFO - Epoch(train) [5][6600/31614] lr: 3.0000e-06 eta: 3:18:19 time: 0.3751 data_time: 0.0062 memory: 26763 loss_ce: 0.0062 loss: 0.0062 2022/09/16 09:34:04 - mmengine - INFO - Epoch(train) [5][6700/31614] lr: 3.0000e-06 eta: 3:17:32 time: 0.5000 data_time: 0.0587 memory: 26763 loss_ce: 0.0076 loss: 0.0076 2022/09/16 09:34:50 - mmengine - INFO - Epoch(train) [5][6800/31614] lr: 3.0000e-06 eta: 3:16:44 time: 0.5715 data_time: 0.0480 memory: 26763 loss_ce: 0.0078 loss: 0.0078 2022/09/16 09:35:36 - mmengine - INFO - Epoch(train) [5][6900/31614] lr: 3.0000e-06 eta: 3:15:56 time: 0.4665 data_time: 0.0123 memory: 26763 loss_ce: 0.0066 loss: 0.0066 2022/09/16 09:36:22 - mmengine - INFO - Epoch(train) [5][7000/31614] lr: 3.0000e-06 eta: 3:15:08 time: 0.4606 data_time: 0.0023 memory: 26763 loss_ce: 0.0072 loss: 0.0072 2022/09/16 09:37:07 - mmengine - INFO - Epoch(train) [5][7100/31614] lr: 3.0000e-06 eta: 3:14:20 time: 0.3699 data_time: 0.0065 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 09:37:53 - mmengine - INFO - Epoch(train) [5][7200/31614] lr: 3.0000e-06 eta: 3:13:32 time: 0.3799 data_time: 0.0067 memory: 26763 loss_ce: 0.0070 loss: 0.0070 2022/09/16 09:38:40 - mmengine - INFO - Epoch(train) [5][7300/31614] lr: 3.0000e-06 eta: 3:12:44 time: 0.5111 data_time: 0.0753 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 09:39:26 - mmengine - INFO - Epoch(train) [5][7400/31614] lr: 3.0000e-06 eta: 3:11:57 time: 0.4999 data_time: 0.0480 memory: 26763 loss_ce: 0.0060 loss: 0.0060 2022/09/16 09:40:12 - mmengine - INFO - Epoch(train) [5][7500/31614] lr: 3.0000e-06 eta: 3:11:09 time: 0.5015 data_time: 0.0124 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 09:40:32 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 09:40:59 - mmengine - INFO - Epoch(train) [5][7600/31614] lr: 3.0000e-06 eta: 3:10:21 time: 0.4687 data_time: 0.0026 memory: 26763 loss_ce: 0.0089 loss: 0.0089 2022/09/16 09:41:44 - mmengine - INFO - Epoch(train) [5][7700/31614] lr: 3.0000e-06 eta: 3:09:33 time: 0.3744 data_time: 0.0069 memory: 26763 loss_ce: 0.0042 loss: 0.0042 2022/09/16 09:42:29 - mmengine - INFO - Epoch(train) [5][7800/31614] lr: 3.0000e-06 eta: 3:08:45 time: 0.3777 data_time: 0.0075 memory: 26763 loss_ce: 0.0063 loss: 0.0063 2022/09/16 09:43:17 - mmengine - INFO - Epoch(train) [5][7900/31614] lr: 3.0000e-06 eta: 3:07:57 time: 0.5195 data_time: 0.0815 memory: 26763 loss_ce: 0.0068 loss: 0.0068 2022/09/16 09:44:02 - mmengine - INFO - Epoch(train) [5][8000/31614] lr: 3.0000e-06 eta: 3:07:09 time: 0.5211 data_time: 0.0470 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 09:44:49 - mmengine - INFO - Epoch(train) [5][8100/31614] lr: 3.0000e-06 eta: 3:06:22 time: 0.4766 data_time: 0.0124 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 09:45:34 - mmengine - INFO - Epoch(train) [5][8200/31614] lr: 3.0000e-06 eta: 3:05:34 time: 0.4704 data_time: 0.0024 memory: 26763 loss_ce: 0.0076 loss: 0.0076 2022/09/16 09:46:20 - mmengine - INFO - Epoch(train) [5][8300/31614] lr: 3.0000e-06 eta: 3:04:46 time: 0.3708 data_time: 0.0068 memory: 26763 loss_ce: 0.0071 loss: 0.0071 2022/09/16 09:47:06 - mmengine - INFO - Epoch(train) [5][8400/31614] lr: 3.0000e-06 eta: 3:03:58 time: 0.3815 data_time: 0.0074 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 09:47:52 - mmengine - INFO - Epoch(train) [5][8500/31614] lr: 3.0000e-06 eta: 3:03:10 time: 0.5093 data_time: 0.0732 memory: 26763 loss_ce: 0.0059 loss: 0.0059 2022/09/16 09:48:12 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 09:48:39 - mmengine - INFO - Epoch(train) [5][8600/31614] lr: 3.0000e-06 eta: 3:02:23 time: 0.5809 data_time: 0.0778 memory: 26763 loss_ce: 0.0063 loss: 0.0063 2022/09/16 09:49:25 - mmengine - INFO - Epoch(train) [5][8700/31614] lr: 3.0000e-06 eta: 3:01:35 time: 0.4474 data_time: 0.0132 memory: 26763 loss_ce: 0.0083 loss: 0.0083 2022/09/16 09:50:12 - mmengine - INFO - Epoch(train) [5][8800/31614] lr: 3.0000e-06 eta: 3:00:47 time: 0.4752 data_time: 0.0022 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 09:50:58 - mmengine - INFO - Epoch(train) [5][8900/31614] lr: 3.0000e-06 eta: 2:59:59 time: 0.3747 data_time: 0.0095 memory: 26763 loss_ce: 0.0058 loss: 0.0058 2022/09/16 09:51:44 - mmengine - INFO - Epoch(train) [5][9000/31614] lr: 3.0000e-06 eta: 2:59:11 time: 0.3763 data_time: 0.0067 memory: 26763 loss_ce: 0.0064 loss: 0.0064 2022/09/16 09:52:31 - mmengine - INFO - Epoch(train) [5][9100/31614] lr: 3.0000e-06 eta: 2:58:24 time: 0.5254 data_time: 0.0670 memory: 26763 loss_ce: 0.0082 loss: 0.0082 2022/09/16 09:53:18 - mmengine - INFO - Epoch(train) [5][9200/31614] lr: 3.0000e-06 eta: 2:57:36 time: 0.5947 data_time: 0.0667 memory: 26763 loss_ce: 0.0076 loss: 0.0076 2022/09/16 09:54:03 - mmengine - INFO - Epoch(train) [5][9300/31614] lr: 3.0000e-06 eta: 2:56:48 time: 0.4587 data_time: 0.0127 memory: 26763 loss_ce: 0.0070 loss: 0.0070 2022/09/16 09:54:50 - mmengine - INFO - Epoch(train) [5][9400/31614] lr: 3.0000e-06 eta: 2:56:01 time: 0.4896 data_time: 0.0023 memory: 26763 loss_ce: 0.0059 loss: 0.0059 2022/09/16 09:55:36 - mmengine - INFO - Epoch(train) [5][9500/31614] lr: 3.0000e-06 eta: 2:55:13 time: 0.4094 data_time: 0.0068 memory: 26763 loss_ce: 0.0078 loss: 0.0078 2022/09/16 09:55:56 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 09:56:21 - mmengine - INFO - Epoch(train) [5][9600/31614] lr: 3.0000e-06 eta: 2:54:25 time: 0.3741 data_time: 0.0067 memory: 26763 loss_ce: 0.0092 loss: 0.0092 2022/09/16 09:57:08 - mmengine - INFO - Epoch(train) [5][9700/31614] lr: 3.0000e-06 eta: 2:53:37 time: 0.4625 data_time: 0.0492 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 09:57:55 - mmengine - INFO - Epoch(train) [5][9800/31614] lr: 3.0000e-06 eta: 2:52:50 time: 0.5937 data_time: 0.0727 memory: 26763 loss_ce: 0.0072 loss: 0.0072 2022/09/16 09:58:41 - mmengine - INFO - Epoch(train) [5][9900/31614] lr: 3.0000e-06 eta: 2:52:02 time: 0.4730 data_time: 0.0126 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 09:59:26 - mmengine - INFO - Epoch(train) [5][10000/31614] lr: 3.0000e-06 eta: 2:51:14 time: 0.4311 data_time: 0.0022 memory: 26763 loss_ce: 0.0049 loss: 0.0049 2022/09/16 10:00:11 - mmengine - INFO - Epoch(train) [5][10100/31614] lr: 3.0000e-06 eta: 2:50:26 time: 0.3718 data_time: 0.0070 memory: 26763 loss_ce: 0.0078 loss: 0.0078 2022/09/16 10:00:58 - mmengine - INFO - Epoch(train) [5][10200/31614] lr: 3.0000e-06 eta: 2:49:38 time: 0.3774 data_time: 0.0070 memory: 26763 loss_ce: 0.0068 loss: 0.0068 2022/09/16 10:01:45 - mmengine - INFO - Epoch(train) [5][10300/31614] lr: 3.0000e-06 eta: 2:48:51 time: 0.4638 data_time: 0.0559 memory: 26763 loss_ce: 0.0071 loss: 0.0071 2022/09/16 10:02:31 - mmengine - INFO - Epoch(train) [5][10400/31614] lr: 3.0000e-06 eta: 2:48:03 time: 0.5587 data_time: 0.0741 memory: 26763 loss_ce: 0.0071 loss: 0.0071 2022/09/16 10:03:17 - mmengine - INFO - Epoch(train) [5][10500/31614] lr: 3.0000e-06 eta: 2:47:15 time: 0.4444 data_time: 0.0132 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 10:03:38 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 10:04:03 - mmengine - INFO - Epoch(train) [5][10600/31614] lr: 3.0000e-06 eta: 2:46:27 time: 0.4824 data_time: 0.0022 memory: 26763 loss_ce: 0.0058 loss: 0.0058 2022/09/16 10:04:49 - mmengine - INFO - Epoch(train) [5][10700/31614] lr: 3.0000e-06 eta: 2:45:40 time: 0.3747 data_time: 0.0085 memory: 26763 loss_ce: 0.0048 loss: 0.0048 2022/09/16 10:05:35 - mmengine - INFO - Epoch(train) [5][10800/31614] lr: 3.0000e-06 eta: 2:44:52 time: 0.4025 data_time: 0.0065 memory: 26763 loss_ce: 0.0058 loss: 0.0058 2022/09/16 10:06:22 - mmengine - INFO - Epoch(train) [5][10900/31614] lr: 3.0000e-06 eta: 2:44:04 time: 0.4880 data_time: 0.0505 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 10:07:08 - mmengine - INFO - Epoch(train) [5][11000/31614] lr: 3.0000e-06 eta: 2:43:16 time: 0.5232 data_time: 0.0499 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 10:07:54 - mmengine - INFO - Epoch(train) [5][11100/31614] lr: 3.0000e-06 eta: 2:42:29 time: 0.5009 data_time: 0.0131 memory: 26763 loss_ce: 0.0054 loss: 0.0054 2022/09/16 10:08:40 - mmengine - INFO - Epoch(train) [5][11200/31614] lr: 3.0000e-06 eta: 2:41:41 time: 0.4341 data_time: 0.0023 memory: 26763 loss_ce: 0.0080 loss: 0.0080 2022/09/16 10:09:25 - mmengine - INFO - Epoch(train) [5][11300/31614] lr: 3.0000e-06 eta: 2:40:53 time: 0.3702 data_time: 0.0068 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 10:10:12 - mmengine - INFO - Epoch(train) [5][11400/31614] lr: 3.0000e-06 eta: 2:40:05 time: 0.3774 data_time: 0.0071 memory: 26763 loss_ce: 0.0063 loss: 0.0063 2022/09/16 10:10:58 - mmengine - INFO - Epoch(train) [5][11500/31614] lr: 3.0000e-06 eta: 2:39:18 time: 0.4679 data_time: 0.0525 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 10:11:18 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 10:11:45 - mmengine - INFO - Epoch(train) [5][11600/31614] lr: 3.0000e-06 eta: 2:38:30 time: 0.5242 data_time: 0.0474 memory: 26763 loss_ce: 0.0062 loss: 0.0062 2022/09/16 10:12:31 - mmengine - INFO - Epoch(train) [5][11700/31614] lr: 3.0000e-06 eta: 2:37:42 time: 0.5343 data_time: 0.0425 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 10:13:17 - mmengine - INFO - Epoch(train) [5][11800/31614] lr: 3.0000e-06 eta: 2:36:55 time: 0.4602 data_time: 0.0023 memory: 26763 loss_ce: 0.0067 loss: 0.0067 2022/09/16 10:14:02 - mmengine - INFO - Epoch(train) [5][11900/31614] lr: 3.0000e-06 eta: 2:36:07 time: 0.3698 data_time: 0.0068 memory: 26763 loss_ce: 0.0042 loss: 0.0042 2022/09/16 10:14:48 - mmengine - INFO - Epoch(train) [5][12000/31614] lr: 3.0000e-06 eta: 2:35:19 time: 0.3784 data_time: 0.0072 memory: 26763 loss_ce: 0.0060 loss: 0.0060 2022/09/16 10:15:34 - mmengine - INFO - Epoch(train) [5][12100/31614] lr: 3.0000e-06 eta: 2:34:31 time: 0.4555 data_time: 0.0478 memory: 26763 loss_ce: 0.0064 loss: 0.0064 2022/09/16 10:16:21 - mmengine - INFO - Epoch(train) [5][12200/31614] lr: 3.0000e-06 eta: 2:33:44 time: 0.5004 data_time: 0.0486 memory: 26763 loss_ce: 0.0077 loss: 0.0077 2022/09/16 10:17:07 - mmengine - INFO - Epoch(train) [5][12300/31614] lr: 3.0000e-06 eta: 2:32:56 time: 0.4471 data_time: 0.0126 memory: 26763 loss_ce: 0.0058 loss: 0.0058 2022/09/16 10:17:52 - mmengine - INFO - Epoch(train) [5][12400/31614] lr: 3.0000e-06 eta: 2:32:08 time: 0.4534 data_time: 0.0023 memory: 26763 loss_ce: 0.0071 loss: 0.0071 2022/09/16 10:18:37 - mmengine - INFO - Epoch(train) [5][12500/31614] lr: 3.0000e-06 eta: 2:31:20 time: 0.3740 data_time: 0.0069 memory: 26763 loss_ce: 0.0070 loss: 0.0070 2022/09/16 10:18:58 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 10:19:23 - mmengine - INFO - Epoch(train) [5][12600/31614] lr: 3.0000e-06 eta: 2:30:32 time: 0.3779 data_time: 0.0075 memory: 26763 loss_ce: 0.0072 loss: 0.0072 2022/09/16 10:20:09 - mmengine - INFO - Epoch(train) [5][12700/31614] lr: 3.0000e-06 eta: 2:29:45 time: 0.5108 data_time: 0.0765 memory: 26763 loss_ce: 0.0040 loss: 0.0040 2022/09/16 10:20:56 - mmengine - INFO - Epoch(train) [5][12800/31614] lr: 3.0000e-06 eta: 2:28:57 time: 0.5246 data_time: 0.0480 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 10:21:42 - mmengine - INFO - Epoch(train) [5][12900/31614] lr: 3.0000e-06 eta: 2:28:09 time: 0.4942 data_time: 0.0130 memory: 26763 loss_ce: 0.0047 loss: 0.0047 2022/09/16 10:22:27 - mmengine - INFO - Epoch(train) [5][13000/31614] lr: 3.0000e-06 eta: 2:27:22 time: 0.4660 data_time: 0.0023 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 10:23:13 - mmengine - INFO - Epoch(train) [5][13100/31614] lr: 3.0000e-06 eta: 2:26:34 time: 0.3725 data_time: 0.0076 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 10:23:59 - mmengine - INFO - Epoch(train) [5][13200/31614] lr: 3.0000e-06 eta: 2:25:46 time: 0.3846 data_time: 0.0071 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 10:24:46 - mmengine - INFO - Epoch(train) [5][13300/31614] lr: 3.0000e-06 eta: 2:24:59 time: 0.5260 data_time: 0.0721 memory: 26763 loss_ce: 0.0041 loss: 0.0041 2022/09/16 10:25:32 - mmengine - INFO - Epoch(train) [5][13400/31614] lr: 3.0000e-06 eta: 2:24:11 time: 0.4996 data_time: 0.0490 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 10:26:17 - mmengine - INFO - Epoch(train) [5][13500/31614] lr: 3.0000e-06 eta: 2:23:23 time: 0.4451 data_time: 0.0123 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 10:26:38 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 10:27:03 - mmengine - INFO - Epoch(train) [5][13600/31614] lr: 3.0000e-06 eta: 2:22:35 time: 0.4938 data_time: 0.0022 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 10:27:49 - mmengine - INFO - Epoch(train) [5][13700/31614] lr: 3.0000e-06 eta: 2:21:48 time: 0.3720 data_time: 0.0072 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 10:28:35 - mmengine - INFO - Epoch(train) [5][13800/31614] lr: 3.0000e-06 eta: 2:21:00 time: 0.3748 data_time: 0.0070 memory: 26763 loss_ce: 0.0076 loss: 0.0076 2022/09/16 10:29:22 - mmengine - INFO - Epoch(train) [5][13900/31614] lr: 3.0000e-06 eta: 2:20:12 time: 0.5218 data_time: 0.0642 memory: 26763 loss_ce: 0.0069 loss: 0.0069 2022/09/16 10:30:08 - mmengine - INFO - Epoch(train) [5][14000/31614] lr: 3.0000e-06 eta: 2:19:25 time: 0.5430 data_time: 0.0654 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 10:30:54 - mmengine - INFO - Epoch(train) [5][14100/31614] lr: 3.0000e-06 eta: 2:18:37 time: 0.4995 data_time: 0.0132 memory: 26763 loss_ce: 0.0062 loss: 0.0062 2022/09/16 10:31:41 - mmengine - INFO - Epoch(train) [5][14200/31614] lr: 3.0000e-06 eta: 2:17:50 time: 0.4367 data_time: 0.0022 memory: 26763 loss_ce: 0.0062 loss: 0.0062 2022/09/16 10:32:27 - mmengine - INFO - Epoch(train) [5][14300/31614] lr: 3.0000e-06 eta: 2:17:02 time: 0.3798 data_time: 0.0072 memory: 26763 loss_ce: 0.0059 loss: 0.0059 2022/09/16 10:33:14 - mmengine - INFO - Epoch(train) [5][14400/31614] lr: 3.0000e-06 eta: 2:16:14 time: 0.3857 data_time: 0.0070 memory: 26763 loss_ce: 0.0077 loss: 0.0077 2022/09/16 10:34:04 - mmengine - INFO - Epoch(train) [5][14500/31614] lr: 3.0000e-06 eta: 2:15:27 time: 0.5430 data_time: 0.0862 memory: 26763 loss_ce: 0.0079 loss: 0.0079 2022/09/16 10:34:25 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 10:34:53 - mmengine - INFO - Epoch(train) [5][14600/31614] lr: 3.0000e-06 eta: 2:14:40 time: 0.4980 data_time: 0.0747 memory: 26763 loss_ce: 0.0048 loss: 0.0048 2022/09/16 10:35:39 - mmengine - INFO - Epoch(train) [5][14700/31614] lr: 3.0000e-06 eta: 2:13:52 time: 0.4136 data_time: 0.0254 memory: 26763 loss_ce: 0.0074 loss: 0.0074 2022/09/16 10:36:25 - mmengine - INFO - Epoch(train) [5][14800/31614] lr: 3.0000e-06 eta: 2:13:04 time: 0.4703 data_time: 0.0097 memory: 26763 loss_ce: 0.0074 loss: 0.0074 2022/09/16 10:37:11 - mmengine - INFO - Epoch(train) [5][14900/31614] lr: 3.0000e-06 eta: 2:12:17 time: 0.4234 data_time: 0.0026 memory: 26763 loss_ce: 0.0072 loss: 0.0072 2022/09/16 10:37:56 - mmengine - INFO - Epoch(train) [5][15000/31614] lr: 3.0000e-06 eta: 2:11:29 time: 0.4379 data_time: 0.0023 memory: 26763 loss_ce: 0.0063 loss: 0.0063 2022/09/16 10:38:44 - mmengine - INFO - Epoch(train) [5][15100/31614] lr: 3.0000e-06 eta: 2:10:42 time: 0.4964 data_time: 0.0748 memory: 26763 loss_ce: 0.0058 loss: 0.0058 2022/09/16 10:39:30 - mmengine - INFO - Epoch(train) [5][15200/31614] lr: 3.0000e-06 eta: 2:09:54 time: 0.5122 data_time: 0.0851 memory: 26763 loss_ce: 0.0066 loss: 0.0066 2022/09/16 10:40:15 - mmengine - INFO - Epoch(train) [5][15300/31614] lr: 3.0000e-06 eta: 2:09:06 time: 0.4083 data_time: 0.0216 memory: 26763 loss_ce: 0.0061 loss: 0.0061 2022/09/16 10:41:02 - mmengine - INFO - Epoch(train) [5][15400/31614] lr: 3.0000e-06 eta: 2:08:19 time: 0.5018 data_time: 0.0095 memory: 26763 loss_ce: 0.0076 loss: 0.0076 2022/09/16 10:41:47 - mmengine - INFO - Epoch(train) [5][15500/31614] lr: 3.0000e-06 eta: 2:07:31 time: 0.4261 data_time: 0.0023 memory: 26763 loss_ce: 0.0076 loss: 0.0076 2022/09/16 10:42:07 - mmengine - INFO - Exp name: satrn_shallow_5e_st_mj_20220915_152443 2022/09/16 10:42:33 - mmengine - INFO - Epoch(train) [5][15600/31614] lr: 3.0000e-06 eta: 2:06:43 time: 0.4212 data_time: 0.0022 memory: 26763 loss_ce: 0.0057 loss: 0.0057 2022/09/16 10:43:19 - mmengine - INFO - Epoch(train) [5][15700/31614] lr: 3.0000e-06 eta: 2:05:56 time: 0.4848 data_time: 0.0728 memory: 26763 loss_ce: 0.0065 loss: 0.0065 2022/09/16 10:44:05 - mmengine - INFO - Epoch(train) [5][15800/31614] lr: 3.0000e-06 eta: 2:05:08 time: 0.4806 data_time: 0.0471 memory: 26763 loss_ce: 0.0073 loss: 0.0073 2022/09/16 10:44:51 - mmengine - INFO - Epoch(train) [5][15900/31614] lr: 3.0000e-06 eta: 2:04:20 time: 0.4412 data_time: 0.0231 memory: 26763 loss_ce: 0.0051 loss: 0.0051 2022/09/16 10:45:37 - mmengine - INFO - Epoch(train) [5][16000/31614] lr: 3.0000e-06 eta: 2:03:33 time: 0.4684 data_time: 0.0087 memory: 26763 loss_ce: 0.0075 loss: 0.0075 2022/09/16 10:46:23 - mmengine - INFO - Epoch(train) [5][16100/31614] lr: 3.0000e-06 eta: 2:02:45 time: 0.4345 data_time: 0.0031 memory: 26763 loss_ce: 0.0063 loss: 0.0063 2022/09/16 10:47:09 - mmengine - INFO - Epoch(train) [5][16200/31614] lr: 3.0000e-06 eta: 2:01:57 time: 0.4184 data_time: 0.0023 memory: 26763 loss_ce: 0.0054 loss: 0.0054