2022/09/15 15:24:54 - 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: 1337137927 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 15:24:55 - 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=256), encoder=dict( type='SATRNEncoder', n_layers=6, n_head=8, d_k=32, d_v=32, d_model=256, n_position=100, d_inner=1024, dropout=0.1), decoder=dict( type='NRTRDecoder', n_layers=6, d_embedding=256, n_head=8, d_model=256, d_inner=1024, d_k=32, d_v=32, 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-small_5e_st_mj' Name of parameter - Initialization information backbone.conv1.conv.weight - torch.Size([128, 3, 3, 3]): Initialized by user-defined `init_weights` in ConvModule backbone.conv1.bn.weight - torch.Size([128]): Initialized by user-defined `init_weights` in ConvModule backbone.conv1.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of SATRN backbone.conv2.conv.weight - torch.Size([256, 128, 3, 3]): Initialized by user-defined `init_weights` in ConvModule backbone.conv2.bn.weight - torch.Size([256]): Initialized by user-defined `init_weights` in ConvModule backbone.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.position_enc.h_scale.0.weight - torch.Size([256, 256, 1, 1]): XavierInit: gain=1, distribution=normal, bias=0 encoder.position_enc.h_scale.0.bias - torch.Size([256]): XavierInit: gain=1, distribution=normal, bias=0 encoder.position_enc.h_scale.2.weight - torch.Size([256, 256, 1, 1]): XavierInit: gain=1, distribution=normal, bias=0 encoder.position_enc.h_scale.2.bias - torch.Size([256]): XavierInit: gain=1, distribution=normal, bias=0 encoder.position_enc.w_scale.0.weight - torch.Size([256, 256, 1, 1]): XavierInit: gain=1, distribution=normal, bias=0 encoder.position_enc.w_scale.0.bias - torch.Size([256]): XavierInit: gain=1, distribution=normal, bias=0 encoder.position_enc.w_scale.2.weight - torch.Size([256, 256, 1, 1]): XavierInit: gain=1, distribution=normal, bias=0 encoder.position_enc.w_scale.2.bias - torch.Size([256]): XavierInit: gain=1, distribution=normal, bias=0 encoder.layer_stack.0.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.feed_forward.conv1.conv.weight - torch.Size([1024, 256, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.0.feed_forward.conv1.bn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.feed_forward.conv1.bn.bias - torch.Size([1024]): 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([1024, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.0.feed_forward.depthwise_conv.bn.weight - torch.Size([1024]): 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([1024]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.feed_forward.conv2.conv.weight - torch.Size([256, 1024, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.0.feed_forward.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.0.feed_forward.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.feed_forward.conv1.conv.weight - torch.Size([1024, 256, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.1.feed_forward.conv1.bn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.feed_forward.conv1.bn.bias - torch.Size([1024]): 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([1024, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.1.feed_forward.depthwise_conv.bn.weight - torch.Size([1024]): 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([1024]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.feed_forward.conv2.conv.weight - torch.Size([256, 1024, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.1.feed_forward.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.1.feed_forward.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.feed_forward.conv1.conv.weight - torch.Size([1024, 256, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.2.feed_forward.conv1.bn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.feed_forward.conv1.bn.bias - torch.Size([1024]): 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([1024, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.2.feed_forward.depthwise_conv.bn.weight - torch.Size([1024]): 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([1024]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.feed_forward.conv2.conv.weight - torch.Size([256, 1024, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.2.feed_forward.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.2.feed_forward.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.feed_forward.conv1.conv.weight - torch.Size([1024, 256, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.3.feed_forward.conv1.bn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.feed_forward.conv1.bn.bias - torch.Size([1024]): 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([1024, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.3.feed_forward.depthwise_conv.bn.weight - torch.Size([1024]): 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([1024]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.feed_forward.conv2.conv.weight - torch.Size([256, 1024, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.3.feed_forward.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.3.feed_forward.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.feed_forward.conv1.conv.weight - torch.Size([1024, 256, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.4.feed_forward.conv1.bn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.feed_forward.conv1.bn.bias - torch.Size([1024]): 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([1024, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.4.feed_forward.depthwise_conv.bn.weight - torch.Size([1024]): 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([1024]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.feed_forward.conv2.conv.weight - torch.Size([256, 1024, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.4.feed_forward.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.4.feed_forward.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.feed_forward.conv1.conv.weight - torch.Size([1024, 256, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.5.feed_forward.conv1.bn.weight - torch.Size([1024]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.feed_forward.conv1.bn.bias - torch.Size([1024]): 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([1024, 1, 3, 3]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.5.feed_forward.depthwise_conv.bn.weight - torch.Size([1024]): 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([1024]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.feed_forward.conv2.conv.weight - torch.Size([256, 1024, 1, 1]): Initialized by user-defined `init_weights` in ConvModule encoder.layer_stack.5.feed_forward.conv2.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_stack.5.feed_forward.conv2.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_norm.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN encoder.layer_norm.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.trg_word_emb.weight - torch.Size([93, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.norm3.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.norm3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.self_attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.self_attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.self_attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.self_attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.enc_attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.enc_attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.enc_attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.enc_attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.mlp.w_1.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.mlp.w_1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.mlp.w_2.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.0.mlp.w_2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.norm3.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.norm3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.self_attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.self_attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.self_attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.self_attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.enc_attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.enc_attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.enc_attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.enc_attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.mlp.w_1.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.mlp.w_1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.mlp.w_2.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.1.mlp.w_2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.norm3.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.norm3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.self_attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.self_attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.self_attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.self_attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.enc_attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.enc_attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.enc_attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.enc_attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.mlp.w_1.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.mlp.w_1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.mlp.w_2.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.2.mlp.w_2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.norm3.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.norm3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.self_attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.self_attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.self_attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.self_attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.enc_attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.enc_attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.enc_attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.enc_attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.mlp.w_1.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.mlp.w_1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.mlp.w_2.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.3.mlp.w_2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.norm3.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.norm3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.self_attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.self_attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.self_attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.self_attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.enc_attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.enc_attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.enc_attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.enc_attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.mlp.w_1.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.mlp.w_1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.mlp.w_2.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.4.mlp.w_2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.norm3.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.norm3.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.self_attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.self_attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.self_attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.self_attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.enc_attn.linear_q.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.enc_attn.linear_k.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.enc_attn.linear_v.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.enc_attn.fc.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.mlp.w_1.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.mlp.w_1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.mlp.w_2.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_stack.5.mlp.w_2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_norm.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.layer_norm.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SATRN decoder.classifier.weight - torch.Size([93, 256]): 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 15:28:33 - mmengine - INFO - Checkpoints will be saved to sproject:s3://1.0.0rc0_recog_retest/satrn_shallow-small_5e_st_mj by PetrelBackend. 2022/09/15 15:42:16 - mmengine - INFO - Epoch(train) [1][100/31614] lr: 3.0000e-04 eta: 15 days, 0:43:54 time: 0.8052 data_time: 0.1246 memory: 10890 loss_ce: 0.7361 loss: 0.7361 2022/09/15 15:43:36 - mmengine - INFO - Epoch(train) [1][200/31614] lr: 3.0000e-04 eta: 8 days, 5:53:35 time: 1.0319 data_time: 0.1436 memory: 9298 loss_ce: 0.6821 loss: 0.6821 2022/09/15 15:44:54 - mmengine - INFO - Epoch(train) [1][300/31614] lr: 3.0000e-04 eta: 5 days, 23:17:53 time: 0.7978 data_time: 0.0374 memory: 9298 loss_ce: 0.6245 loss: 0.6245 2022/09/15 15:46:12 - mmengine - INFO - Epoch(train) [1][400/31614] lr: 3.0000e-04 eta: 4 days, 19:52:58 time: 0.6646 data_time: 0.0063 memory: 9298 loss_ce: 0.4126 loss: 0.4126 2022/09/15 15:47:30 - mmengine - INFO - Epoch(train) [1][500/31614] lr: 3.0000e-04 eta: 4 days, 3:29:00 time: 0.7575 data_time: 0.0042 memory: 9298 loss_ce: 0.3081 loss: 0.3081 2022/09/15 15:48:47 - mmengine - INFO - Epoch(train) [1][600/31614] lr: 3.0000e-04 eta: 3 days, 16:29:35 time: 0.6984 data_time: 0.0021 memory: 9298 loss_ce: 0.2291 loss: 0.2291 2022/09/15 15:50:05 - mmengine - INFO - Epoch(train) [1][700/31614] lr: 3.0000e-04 eta: 3 days, 8:38:24 time: 0.8208 data_time: 0.0800 memory: 9298 loss_ce: 0.1906 loss: 0.1906 2022/09/15 15:51:23 - mmengine - INFO - Epoch(train) [1][800/31614] lr: 3.0000e-04 eta: 3 days, 2:48:18 time: 0.8445 data_time: 0.0509 memory: 9298 loss_ce: 0.1540 loss: 0.1540 2022/09/15 15:52:41 - mmengine - INFO - Epoch(train) [1][900/31614] lr: 3.0000e-04 eta: 2 days, 22:13:27 time: 0.8122 data_time: 0.0311 memory: 9298 loss_ce: 0.1443 loss: 0.1443 2022/09/15 15:53:59 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 15:53:59 - mmengine - INFO - Epoch(train) [1][1000/31614] lr: 3.0000e-04 eta: 2 days, 18:34:16 time: 0.7529 data_time: 0.0046 memory: 9298 loss_ce: 0.1370 loss: 0.1370 2022/09/15 15:55:19 - mmengine - INFO - Epoch(train) [1][1100/31614] lr: 3.0000e-04 eta: 2 days, 15:37:21 time: 0.7519 data_time: 0.0044 memory: 9298 loss_ce: 0.1342 loss: 0.1342 2022/09/15 15:56:30 - mmengine - INFO - Epoch(train) [1][1200/31614] lr: 3.0000e-04 eta: 2 days, 12:52:07 time: 0.7555 data_time: 0.0024 memory: 9298 loss_ce: 0.1220 loss: 0.1220 2022/09/15 15:57:48 - mmengine - INFO - Epoch(train) [1][1300/31614] lr: 3.0000e-04 eta: 2 days, 10:47:11 time: 0.8598 data_time: 0.0832 memory: 9298 loss_ce: 0.1206 loss: 0.1206 2022/09/15 15:59:07 - mmengine - INFO - Epoch(train) [1][1400/31614] lr: 3.0000e-04 eta: 2 days, 8:59:26 time: 0.8190 data_time: 0.0501 memory: 9298 loss_ce: 0.1123 loss: 0.1123 2022/09/15 16:00:25 - mmengine - INFO - Epoch(train) [1][1500/31614] lr: 3.0000e-04 eta: 2 days, 7:25:21 time: 0.8426 data_time: 0.0635 memory: 9298 loss_ce: 0.1006 loss: 0.1006 2022/09/15 16:01:44 - mmengine - INFO - Epoch(train) [1][1600/31614] lr: 3.0000e-04 eta: 2 days, 6:03:57 time: 0.7551 data_time: 0.0049 memory: 9298 loss_ce: 0.1020 loss: 0.1020 2022/09/15 16:03:01 - mmengine - INFO - Epoch(train) [1][1700/31614] lr: 3.0000e-04 eta: 2 days, 4:49:34 time: 0.7723 data_time: 0.0043 memory: 9298 loss_ce: 0.0988 loss: 0.0988 2022/09/15 16:04:18 - mmengine - INFO - Epoch(train) [1][1800/31614] lr: 3.0000e-04 eta: 2 days, 3:43:19 time: 0.7563 data_time: 0.0018 memory: 9298 loss_ce: 0.0956 loss: 0.0956 2022/09/15 16:05:37 - mmengine - INFO - Epoch(train) [1][1900/31614] lr: 3.0000e-04 eta: 2 days, 2:46:20 time: 0.7970 data_time: 0.0524 memory: 9298 loss_ce: 0.0808 loss: 0.0808 2022/09/15 16:06:54 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 16:06:54 - mmengine - INFO - Epoch(train) [1][2000/31614] lr: 3.0000e-04 eta: 2 days, 1:52:26 time: 0.8579 data_time: 0.0897 memory: 9298 loss_ce: 0.0914 loss: 0.0914 2022/09/15 16:08:13 - mmengine - INFO - Epoch(train) [1][2100/31614] lr: 3.0000e-04 eta: 2 days, 1:05:23 time: 0.8182 data_time: 0.0364 memory: 9298 loss_ce: 0.0759 loss: 0.0759 2022/09/15 16:09:30 - mmengine - INFO - Epoch(train) [1][2200/31614] lr: 3.0000e-04 eta: 2 days, 0:20:55 time: 0.7611 data_time: 0.0050 memory: 9298 loss_ce: 0.0748 loss: 0.0748 2022/09/15 16:10:48 - mmengine - INFO - Epoch(train) [1][2300/31614] lr: 3.0000e-04 eta: 1 day, 23:40:31 time: 0.7531 data_time: 0.0044 memory: 9298 loss_ce: 0.0778 loss: 0.0778 2022/09/15 16:12:05 - mmengine - INFO - Epoch(train) [1][2400/31614] lr: 3.0000e-04 eta: 1 day, 23:03:34 time: 0.7321 data_time: 0.0018 memory: 9298 loss_ce: 0.0734 loss: 0.0734 2022/09/15 16:13:24 - mmengine - INFO - Epoch(train) [1][2500/31614] lr: 3.0000e-04 eta: 1 day, 22:30:50 time: 0.8723 data_time: 0.1048 memory: 9298 loss_ce: 0.0850 loss: 0.0850 2022/09/15 16:14:42 - mmengine - INFO - Epoch(train) [1][2600/31614] lr: 3.0000e-04 eta: 1 day, 21:59:29 time: 0.8386 data_time: 0.0951 memory: 9298 loss_ce: 0.0753 loss: 0.0753 2022/09/15 16:16:00 - mmengine - INFO - Epoch(train) [1][2700/31614] lr: 3.0000e-04 eta: 1 day, 21:29:59 time: 0.8209 data_time: 0.0361 memory: 9298 loss_ce: 0.0759 loss: 0.0759 2022/09/15 16:17:18 - mmengine - INFO - Epoch(train) [1][2800/31614] lr: 3.0000e-04 eta: 1 day, 21:03:22 time: 0.7854 data_time: 0.0203 memory: 9298 loss_ce: 0.0758 loss: 0.0758 2022/09/15 16:18:37 - mmengine - INFO - Epoch(train) [1][2900/31614] lr: 3.0000e-04 eta: 1 day, 20:38:42 time: 0.7541 data_time: 0.0046 memory: 9298 loss_ce: 0.0702 loss: 0.0702 2022/09/15 16:19:55 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 16:19:55 - mmengine - INFO - Epoch(train) [1][3000/31614] lr: 3.0000e-04 eta: 1 day, 20:14:32 time: 0.7929 data_time: 0.0018 memory: 9298 loss_ce: 0.0611 loss: 0.0611 2022/09/15 16:21:15 - mmengine - INFO - Epoch(train) [1][3100/31614] lr: 3.0000e-04 eta: 1 day, 19:53:53 time: 0.8676 data_time: 0.0890 memory: 9298 loss_ce: 0.0675 loss: 0.0675 2022/09/15 16:22:33 - mmengine - INFO - Epoch(train) [1][3200/31614] lr: 3.0000e-04 eta: 1 day, 19:32:42 time: 0.8169 data_time: 0.0509 memory: 9298 loss_ce: 0.0673 loss: 0.0673 2022/09/15 16:23:50 - mmengine - INFO - Epoch(train) [1][3300/31614] lr: 3.0000e-04 eta: 1 day, 19:12:14 time: 0.7946 data_time: 0.0647 memory: 9298 loss_ce: 0.0614 loss: 0.0614 2022/09/15 16:25:08 - mmengine - INFO - Epoch(train) [1][3400/31614] lr: 3.0000e-04 eta: 1 day, 18:53:28 time: 0.7318 data_time: 0.0050 memory: 9298 loss_ce: 0.0622 loss: 0.0622 2022/09/15 16:26:26 - mmengine - INFO - Epoch(train) [1][3500/31614] lr: 3.0000e-04 eta: 1 day, 18:35:40 time: 0.7526 data_time: 0.0046 memory: 9298 loss_ce: 0.0649 loss: 0.0649 2022/09/15 16:27:44 - mmengine - INFO - Epoch(train) [1][3600/31614] lr: 3.0000e-04 eta: 1 day, 18:18:59 time: 0.7961 data_time: 0.0019 memory: 9298 loss_ce: 0.0679 loss: 0.0679 2022/09/15 16:29:03 - mmengine - INFO - Epoch(train) [1][3700/31614] lr: 3.0000e-04 eta: 1 day, 18:03:30 time: 0.7891 data_time: 0.0529 memory: 9298 loss_ce: 0.0588 loss: 0.0588 2022/09/15 16:30:21 - mmengine - INFO - Epoch(train) [1][3800/31614] lr: 3.0000e-04 eta: 1 day, 17:48:55 time: 0.8828 data_time: 0.0781 memory: 9298 loss_ce: 0.0572 loss: 0.0572 2022/09/15 16:31:39 - mmengine - INFO - Epoch(train) [1][3900/31614] lr: 3.0000e-04 eta: 1 day, 17:34:19 time: 0.7826 data_time: 0.0447 memory: 9298 loss_ce: 0.0604 loss: 0.0604 2022/09/15 16:32:57 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 16:32:57 - mmengine - INFO - Epoch(train) [1][4000/31614] lr: 3.0000e-04 eta: 1 day, 17:20:17 time: 0.7544 data_time: 0.0066 memory: 9298 loss_ce: 0.0606 loss: 0.0606 2022/09/15 16:34:15 - mmengine - INFO - Epoch(train) [1][4100/31614] lr: 3.0000e-04 eta: 1 day, 17:06:43 time: 0.6951 data_time: 0.0087 memory: 9298 loss_ce: 0.0668 loss: 0.0668 2022/09/15 16:35:32 - mmengine - INFO - Epoch(train) [1][4200/31614] lr: 3.0000e-04 eta: 1 day, 16:53:52 time: 0.7352 data_time: 0.0018 memory: 9298 loss_ce: 0.0539 loss: 0.0539 2022/09/15 16:36:48 - mmengine - INFO - Epoch(train) [1][4300/31614] lr: 3.0000e-04 eta: 1 day, 16:40:15 time: 0.7848 data_time: 0.0760 memory: 9298 loss_ce: 0.0643 loss: 0.0643 2022/09/15 16:38:06 - mmengine - INFO - Epoch(train) [1][4400/31614] lr: 3.0000e-04 eta: 1 day, 16:28:48 time: 0.8130 data_time: 0.0889 memory: 9298 loss_ce: 0.0534 loss: 0.0534 2022/09/15 16:39:24 - mmengine - INFO - Epoch(train) [1][4500/31614] lr: 3.0000e-04 eta: 1 day, 16:17:45 time: 0.7934 data_time: 0.0335 memory: 9298 loss_ce: 0.0536 loss: 0.0536 2022/09/15 16:40:43 - mmengine - INFO - Epoch(train) [1][4600/31614] lr: 3.0000e-04 eta: 1 day, 16:07:38 time: 0.7718 data_time: 0.0098 memory: 9298 loss_ce: 0.0544 loss: 0.0544 2022/09/15 16:42:02 - mmengine - INFO - Epoch(train) [1][4700/31614] lr: 3.0000e-04 eta: 1 day, 15:57:43 time: 0.8248 data_time: 0.0086 memory: 9298 loss_ce: 0.0643 loss: 0.0643 2022/09/15 16:43:21 - mmengine - INFO - Epoch(train) [1][4800/31614] lr: 3.0000e-04 eta: 1 day, 15:48:04 time: 0.7407 data_time: 0.0018 memory: 9298 loss_ce: 0.0641 loss: 0.0641 2022/09/15 16:44:39 - mmengine - INFO - Epoch(train) [1][4900/31614] lr: 3.0000e-04 eta: 1 day, 15:38:42 time: 0.8309 data_time: 0.0751 memory: 9298 loss_ce: 0.0512 loss: 0.0512 2022/09/15 16:45:55 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 16:45:55 - mmengine - INFO - Epoch(train) [1][5000/31614] lr: 3.0000e-04 eta: 1 day, 15:28:12 time: 0.7775 data_time: 0.0492 memory: 9298 loss_ce: 0.0501 loss: 0.0501 2022/09/15 16:47:12 - mmengine - INFO - Epoch(train) [1][5100/31614] lr: 3.0000e-04 eta: 1 day, 15:18:48 time: 0.8291 data_time: 0.0336 memory: 9298 loss_ce: 0.0580 loss: 0.0580 2022/09/15 16:48:33 - mmengine - INFO - Epoch(train) [1][5200/31614] lr: 3.0000e-04 eta: 1 day, 15:11:35 time: 0.7896 data_time: 0.0094 memory: 9298 loss_ce: 0.0505 loss: 0.0505 2022/09/15 16:49:50 - mmengine - INFO - Epoch(train) [1][5300/31614] lr: 3.0000e-04 eta: 1 day, 15:02:46 time: 0.7765 data_time: 0.0093 memory: 9298 loss_ce: 0.0548 loss: 0.0548 2022/09/15 16:51:07 - mmengine - INFO - Epoch(train) [1][5400/31614] lr: 3.0000e-04 eta: 1 day, 14:54:05 time: 0.7244 data_time: 0.0018 memory: 9298 loss_ce: 0.0515 loss: 0.0515 2022/09/15 16:52:26 - mmengine - INFO - Epoch(train) [1][5500/31614] lr: 3.0000e-04 eta: 1 day, 14:46:51 time: 0.8240 data_time: 0.0463 memory: 9298 loss_ce: 0.0559 loss: 0.0559 2022/09/15 16:53:44 - mmengine - INFO - Epoch(train) [1][5600/31614] lr: 3.0000e-04 eta: 1 day, 14:39:14 time: 0.8148 data_time: 0.0560 memory: 9298 loss_ce: 0.0555 loss: 0.0555 2022/09/15 16:55:02 - mmengine - INFO - Epoch(train) [1][5700/31614] lr: 3.0000e-04 eta: 1 day, 14:31:26 time: 0.8460 data_time: 0.0600 memory: 9298 loss_ce: 0.0466 loss: 0.0466 2022/09/15 16:56:20 - mmengine - INFO - Epoch(train) [1][5800/31614] lr: 3.0000e-04 eta: 1 day, 14:24:26 time: 0.7963 data_time: 0.0092 memory: 9298 loss_ce: 0.0513 loss: 0.0513 2022/09/15 16:57:37 - mmengine - INFO - Epoch(train) [1][5900/31614] lr: 3.0000e-04 eta: 1 day, 14:17:02 time: 0.7043 data_time: 0.0092 memory: 9298 loss_ce: 0.0541 loss: 0.0541 2022/09/15 16:58:55 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 16:58:55 - mmengine - INFO - Epoch(train) [1][6000/31614] lr: 3.0000e-04 eta: 1 day, 14:10:07 time: 0.7160 data_time: 0.0019 memory: 9298 loss_ce: 0.0443 loss: 0.0443 2022/09/15 17:00:14 - mmengine - INFO - Epoch(train) [1][6100/31614] lr: 3.0000e-04 eta: 1 day, 14:03:57 time: 0.8214 data_time: 0.0473 memory: 9298 loss_ce: 0.0455 loss: 0.0455 2022/09/15 17:01:30 - mmengine - INFO - Epoch(train) [1][6200/31614] lr: 3.0000e-04 eta: 1 day, 13:56:44 time: 0.8099 data_time: 0.0740 memory: 9298 loss_ce: 0.0503 loss: 0.0503 2022/09/15 17:02:48 - mmengine - INFO - Epoch(train) [1][6300/31614] lr: 3.0000e-04 eta: 1 day, 13:50:22 time: 0.7527 data_time: 0.0340 memory: 9298 loss_ce: 0.0514 loss: 0.0514 2022/09/15 17:04:06 - mmengine - INFO - Epoch(train) [1][6400/31614] lr: 3.0000e-04 eta: 1 day, 13:44:02 time: 0.7781 data_time: 0.0086 memory: 9298 loss_ce: 0.0527 loss: 0.0527 2022/09/15 17:05:25 - mmengine - INFO - Epoch(train) [1][6500/31614] lr: 3.0000e-04 eta: 1 day, 13:38:32 time: 0.8272 data_time: 0.0399 memory: 9298 loss_ce: 0.0533 loss: 0.0533 2022/09/15 17:06:42 - mmengine - INFO - Epoch(train) [1][6600/31614] lr: 3.0000e-04 eta: 1 day, 13:32:30 time: 0.7163 data_time: 0.0018 memory: 9298 loss_ce: 0.0442 loss: 0.0442 2022/09/15 17:08:01 - mmengine - INFO - Epoch(train) [1][6700/31614] lr: 3.0000e-04 eta: 1 day, 13:27:06 time: 0.8302 data_time: 0.0753 memory: 9298 loss_ce: 0.0525 loss: 0.0525 2022/09/15 17:09:20 - mmengine - INFO - Epoch(train) [1][6800/31614] lr: 3.0000e-04 eta: 1 day, 13:21:39 time: 0.8582 data_time: 0.0724 memory: 9298 loss_ce: 0.0458 loss: 0.0458 2022/09/15 17:10:39 - mmengine - INFO - Epoch(train) [1][6900/31614] lr: 3.0000e-04 eta: 1 day, 13:16:35 time: 0.7952 data_time: 0.0358 memory: 9298 loss_ce: 0.0551 loss: 0.0551 2022/09/15 17:11:57 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 17:11:57 - mmengine - INFO - Epoch(train) [1][7000/31614] lr: 3.0000e-04 eta: 1 day, 13:11:16 time: 0.7124 data_time: 0.0155 memory: 9298 loss_ce: 0.0479 loss: 0.0479 2022/09/15 17:13:16 - mmengine - INFO - Epoch(train) [1][7100/31614] lr: 3.0000e-04 eta: 1 day, 13:06:17 time: 0.7897 data_time: 0.0112 memory: 9298 loss_ce: 0.0410 loss: 0.0410 2022/09/15 17:14:33 - mmengine - INFO - Epoch(train) [1][7200/31614] lr: 3.0000e-04 eta: 1 day, 13:01:01 time: 0.6970 data_time: 0.0024 memory: 9298 loss_ce: 0.0438 loss: 0.0438 2022/09/15 17:15:54 - mmengine - INFO - Epoch(train) [1][7300/31614] lr: 3.0000e-04 eta: 1 day, 12:56:47 time: 0.8249 data_time: 0.0657 memory: 9298 loss_ce: 0.0481 loss: 0.0481 2022/09/15 17:17:11 - mmengine - INFO - Epoch(train) [1][7400/31614] lr: 3.0000e-04 eta: 1 day, 12:51:35 time: 0.8234 data_time: 0.0455 memory: 9298 loss_ce: 0.0390 loss: 0.0390 2022/09/15 17:18:29 - mmengine - INFO - Epoch(train) [1][7500/31614] lr: 3.0000e-04 eta: 1 day, 12:46:46 time: 0.8233 data_time: 0.0640 memory: 9298 loss_ce: 0.0425 loss: 0.0425 2022/09/15 17:19:47 - mmengine - INFO - Epoch(train) [1][7600/31614] lr: 3.0000e-04 eta: 1 day, 12:42:00 time: 0.7824 data_time: 0.0113 memory: 9298 loss_ce: 0.0481 loss: 0.0481 2022/09/15 17:21:04 - mmengine - INFO - Epoch(train) [1][7700/31614] lr: 3.0000e-04 eta: 1 day, 12:36:56 time: 0.7899 data_time: 0.0120 memory: 9298 loss_ce: 0.0447 loss: 0.0447 2022/09/15 17:22:21 - mmengine - INFO - Epoch(train) [1][7800/31614] lr: 3.0000e-04 eta: 1 day, 12:32:09 time: 0.6466 data_time: 0.0018 memory: 9298 loss_ce: 0.0463 loss: 0.0463 2022/09/15 17:23:38 - mmengine - INFO - Epoch(train) [1][7900/31614] lr: 3.0000e-04 eta: 1 day, 12:27:28 time: 0.8013 data_time: 0.0517 memory: 9298 loss_ce: 0.0481 loss: 0.0481 2022/09/15 17:25:00 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 17:25:00 - mmengine - INFO - Epoch(train) [1][8000/31614] lr: 3.0000e-04 eta: 1 day, 12:24:07 time: 0.7710 data_time: 0.0523 memory: 9298 loss_ce: 0.0462 loss: 0.0462 2022/09/15 17:26:19 - mmengine - INFO - Epoch(train) [1][8100/31614] lr: 3.0000e-04 eta: 1 day, 12:20:16 time: 0.7746 data_time: 0.0403 memory: 9298 loss_ce: 0.0432 loss: 0.0432 2022/09/15 17:27:39 - mmengine - INFO - Epoch(train) [1][8200/31614] lr: 3.0000e-04 eta: 1 day, 12:16:35 time: 0.7789 data_time: 0.0121 memory: 9298 loss_ce: 0.0518 loss: 0.0518 2022/09/15 17:29:02 - mmengine - INFO - Epoch(train) [1][8300/31614] lr: 3.0000e-04 eta: 1 day, 12:13:59 time: 0.7435 data_time: 0.0125 memory: 9298 loss_ce: 0.0380 loss: 0.0380 2022/09/15 17:30:20 - mmengine - INFO - Epoch(train) [1][8400/31614] lr: 3.0000e-04 eta: 1 day, 12:09:47 time: 0.8149 data_time: 0.0021 memory: 9298 loss_ce: 0.0453 loss: 0.0453 2022/09/15 17:31:42 - mmengine - INFO - Epoch(train) [1][8500/31614] lr: 3.0000e-04 eta: 1 day, 12:06:41 time: 0.8492 data_time: 0.0832 memory: 9298 loss_ce: 0.0439 loss: 0.0439 2022/09/15 17:33:00 - mmengine - INFO - Epoch(train) [1][8600/31614] lr: 3.0000e-04 eta: 1 day, 12:02:43 time: 0.7958 data_time: 0.0467 memory: 9298 loss_ce: 0.0412 loss: 0.0412 2022/09/15 17:34:19 - mmengine - INFO - Epoch(train) [1][8700/31614] lr: 3.0000e-04 eta: 1 day, 11:59:04 time: 0.7720 data_time: 0.0385 memory: 9298 loss_ce: 0.0539 loss: 0.0539 2022/09/15 17:35:39 - mmengine - INFO - Epoch(train) [1][8800/31614] lr: 3.0000e-04 eta: 1 day, 11:55:50 time: 0.8170 data_time: 0.0120 memory: 9298 loss_ce: 0.0469 loss: 0.0469 2022/09/15 17:37:01 - mmengine - INFO - Epoch(train) [1][8900/31614] lr: 3.0000e-04 eta: 1 day, 11:52:57 time: 0.8452 data_time: 0.0498 memory: 9298 loss_ce: 0.0438 loss: 0.0438 2022/09/15 17:38:21 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 17:38:21 - mmengine - INFO - Epoch(train) [1][9000/31614] lr: 3.0000e-04 eta: 1 day, 11:49:38 time: 0.7529 data_time: 0.0020 memory: 9298 loss_ce: 0.0401 loss: 0.0401 2022/09/15 17:39:38 - mmengine - INFO - Epoch(train) [1][9100/31614] lr: 3.0000e-04 eta: 1 day, 11:45:49 time: 0.7564 data_time: 0.0461 memory: 9298 loss_ce: 0.0411 loss: 0.0411 2022/09/15 17:40:56 - mmengine - INFO - Epoch(train) [1][9200/31614] lr: 3.0000e-04 eta: 1 day, 11:41:56 time: 0.7570 data_time: 0.0837 memory: 9298 loss_ce: 0.0373 loss: 0.0373 2022/09/15 17:42:17 - mmengine - INFO - Epoch(train) [1][9300/31614] lr: 3.0000e-04 eta: 1 day, 11:39:10 time: 0.9354 data_time: 0.1121 memory: 9298 loss_ce: 0.0425 loss: 0.0425 2022/09/15 17:43:36 - mmengine - INFO - Epoch(train) [1][9400/31614] lr: 3.0000e-04 eta: 1 day, 11:35:41 time: 0.6996 data_time: 0.0134 memory: 9298 loss_ce: 0.0327 loss: 0.0327 2022/09/15 17:44:55 - mmengine - INFO - Epoch(train) [1][9500/31614] lr: 3.0000e-04 eta: 1 day, 11:32:26 time: 0.7315 data_time: 0.0142 memory: 9298 loss_ce: 0.0393 loss: 0.0393 2022/09/15 17:46:15 - mmengine - INFO - Epoch(train) [1][9600/31614] lr: 3.0000e-04 eta: 1 day, 11:29:31 time: 0.8152 data_time: 0.0021 memory: 9298 loss_ce: 0.0432 loss: 0.0432 2022/09/15 17:47:33 - mmengine - INFO - Epoch(train) [1][9700/31614] lr: 3.0000e-04 eta: 1 day, 11:26:00 time: 0.7644 data_time: 0.0433 memory: 9298 loss_ce: 0.0393 loss: 0.0393 2022/09/15 17:48:52 - mmengine - INFO - Epoch(train) [1][9800/31614] lr: 3.0000e-04 eta: 1 day, 11:22:46 time: 0.8609 data_time: 0.0524 memory: 9298 loss_ce: 0.0400 loss: 0.0400 2022/09/15 17:50:11 - mmengine - INFO - Epoch(train) [1][9900/31614] lr: 3.0000e-04 eta: 1 day, 11:19:42 time: 0.9055 data_time: 0.0829 memory: 9298 loss_ce: 0.0390 loss: 0.0390 2022/09/15 17:51:31 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 17:51:31 - mmengine - INFO - Epoch(train) [1][10000/31614] lr: 3.0000e-04 eta: 1 day, 11:16:46 time: 0.8079 data_time: 0.0132 memory: 9298 loss_ce: 0.0397 loss: 0.0397 2022/09/15 17:52:50 - mmengine - INFO - Epoch(train) [1][10100/31614] lr: 3.0000e-04 eta: 1 day, 11:13:43 time: 0.7447 data_time: 0.0137 memory: 9298 loss_ce: 0.0405 loss: 0.0405 2022/09/15 17:54:09 - mmengine - INFO - Epoch(train) [1][10200/31614] lr: 3.0000e-04 eta: 1 day, 11:10:31 time: 0.7862 data_time: 0.0019 memory: 9298 loss_ce: 0.0352 loss: 0.0352 2022/09/15 17:55:28 - mmengine - INFO - Epoch(train) [1][10300/31614] lr: 3.0000e-04 eta: 1 day, 11:07:35 time: 0.8094 data_time: 0.0524 memory: 9298 loss_ce: 0.0390 loss: 0.0390 2022/09/15 17:56:46 - mmengine - INFO - Epoch(train) [1][10400/31614] lr: 3.0000e-04 eta: 1 day, 11:04:28 time: 0.7858 data_time: 0.0452 memory: 9298 loss_ce: 0.0387 loss: 0.0387 2022/09/15 17:58:06 - mmengine - INFO - Epoch(train) [1][10500/31614] lr: 3.0000e-04 eta: 1 day, 11:01:33 time: 0.8180 data_time: 0.0477 memory: 9298 loss_ce: 0.0408 loss: 0.0408 2022/09/15 17:59:23 - mmengine - INFO - Epoch(train) [1][10600/31614] lr: 3.0000e-04 eta: 1 day, 10:58:18 time: 0.7691 data_time: 0.0139 memory: 9298 loss_ce: 0.0370 loss: 0.0370 2022/09/15 18:00:44 - mmengine - INFO - Epoch(train) [1][10700/31614] lr: 3.0000e-04 eta: 1 day, 10:55:49 time: 0.7719 data_time: 0.0146 memory: 9298 loss_ce: 0.0384 loss: 0.0384 2022/09/15 18:02:02 - mmengine - INFO - Epoch(train) [1][10800/31614] lr: 3.0000e-04 eta: 1 day, 10:52:41 time: 0.6958 data_time: 0.0020 memory: 9298 loss_ce: 0.0373 loss: 0.0373 2022/09/15 18:03:22 - mmengine - INFO - Epoch(train) [1][10900/31614] lr: 3.0000e-04 eta: 1 day, 10:50:08 time: 0.9381 data_time: 0.1149 memory: 9298 loss_ce: 0.0362 loss: 0.0362 2022/09/15 18:04:41 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 18:04:41 - mmengine - INFO - Epoch(train) [1][11000/31614] lr: 3.0000e-04 eta: 1 day, 10:47:14 time: 0.7808 data_time: 0.0457 memory: 9298 loss_ce: 0.0353 loss: 0.0353 2022/09/15 18:05:59 - mmengine - INFO - Epoch(train) [1][11100/31614] lr: 3.0000e-04 eta: 1 day, 10:44:23 time: 0.8280 data_time: 0.0382 memory: 9298 loss_ce: 0.0351 loss: 0.0351 2022/09/15 18:07:20 - mmengine - INFO - Epoch(train) [1][11200/31614] lr: 3.0000e-04 eta: 1 day, 10:42:03 time: 0.7912 data_time: 0.0129 memory: 9298 loss_ce: 0.0336 loss: 0.0336 2022/09/15 18:08:39 - mmengine - INFO - Epoch(train) [1][11300/31614] lr: 3.0000e-04 eta: 1 day, 10:39:14 time: 0.7484 data_time: 0.0148 memory: 9298 loss_ce: 0.0367 loss: 0.0367 2022/09/15 18:09:58 - mmengine - INFO - Epoch(train) [1][11400/31614] lr: 3.0000e-04 eta: 1 day, 10:36:32 time: 0.7739 data_time: 0.0020 memory: 9298 loss_ce: 0.0349 loss: 0.0349 2022/09/15 18:11:16 - mmengine - INFO - Epoch(train) [1][11500/31614] lr: 3.0000e-04 eta: 1 day, 10:33:47 time: 0.7692 data_time: 0.0706 memory: 9298 loss_ce: 0.0353 loss: 0.0353 2022/09/15 18:12:36 - mmengine - INFO - Epoch(train) [1][11600/31614] lr: 3.0000e-04 eta: 1 day, 10:31:10 time: 0.8684 data_time: 0.0712 memory: 9298 loss_ce: 0.0416 loss: 0.0416 2022/09/15 18:13:55 - mmengine - INFO - Epoch(train) [1][11700/31614] lr: 3.0000e-04 eta: 1 day, 10:28:42 time: 0.8255 data_time: 0.0362 memory: 9298 loss_ce: 0.0356 loss: 0.0356 2022/09/15 18:15:15 - mmengine - INFO - Epoch(train) [1][11800/31614] lr: 3.0000e-04 eta: 1 day, 10:26:14 time: 0.7469 data_time: 0.0131 memory: 9298 loss_ce: 0.0396 loss: 0.0396 2022/09/15 18:16:36 - mmengine - INFO - Epoch(train) [1][11900/31614] lr: 3.0000e-04 eta: 1 day, 10:23:57 time: 0.8115 data_time: 0.0417 memory: 9298 loss_ce: 0.0360 loss: 0.0360 2022/09/15 18:17:55 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 18:17:55 - mmengine - INFO - Epoch(train) [1][12000/31614] lr: 3.0000e-04 eta: 1 day, 10:21:23 time: 0.6615 data_time: 0.0062 memory: 9298 loss_ce: 0.0316 loss: 0.0316 2022/09/15 18:19:15 - mmengine - INFO - Epoch(train) [1][12100/31614] lr: 3.0000e-04 eta: 1 day, 10:19:11 time: 0.7834 data_time: 0.0457 memory: 9298 loss_ce: 0.0412 loss: 0.0412 2022/09/15 18:20:35 - mmengine - INFO - Epoch(train) [1][12200/31614] lr: 3.0000e-04 eta: 1 day, 10:16:42 time: 0.8108 data_time: 0.0446 memory: 9298 loss_ce: 0.0426 loss: 0.0426 2022/09/15 18:21:52 - mmengine - INFO - Epoch(train) [1][12300/31614] lr: 3.0000e-04 eta: 1 day, 10:13:55 time: 0.7995 data_time: 0.0359 memory: 9298 loss_ce: 0.0351 loss: 0.0351 2022/09/15 18:23:11 - mmengine - INFO - Epoch(train) [1][12400/31614] lr: 3.0000e-04 eta: 1 day, 10:11:19 time: 0.7888 data_time: 0.0093 memory: 9298 loss_ce: 0.0375 loss: 0.0375 2022/09/15 18:24:28 - mmengine - INFO - Epoch(train) [1][12500/31614] lr: 3.0000e-04 eta: 1 day, 10:08:33 time: 0.7691 data_time: 0.0106 memory: 9298 loss_ce: 0.0328 loss: 0.0328 2022/09/15 18:25:47 - mmengine - INFO - Epoch(train) [1][12600/31614] lr: 3.0000e-04 eta: 1 day, 10:06:01 time: 0.6731 data_time: 0.0050 memory: 9298 loss_ce: 0.0348 loss: 0.0348 2022/09/15 18:27:06 - mmengine - INFO - Epoch(train) [1][12700/31614] lr: 3.0000e-04 eta: 1 day, 10:03:41 time: 0.7639 data_time: 0.0821 memory: 9298 loss_ce: 0.0362 loss: 0.0362 2022/09/15 18:28:27 - mmengine - INFO - Epoch(train) [1][12800/31614] lr: 3.0000e-04 eta: 1 day, 10:01:30 time: 0.8424 data_time: 0.0448 memory: 9298 loss_ce: 0.0351 loss: 0.0351 2022/09/15 18:29:44 - mmengine - INFO - Epoch(train) [1][12900/31614] lr: 3.0000e-04 eta: 1 day, 9:58:45 time: 0.7946 data_time: 0.0378 memory: 9298 loss_ce: 0.0346 loss: 0.0346 2022/09/15 18:31:03 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 18:31:03 - mmengine - INFO - Epoch(train) [1][13000/31614] lr: 3.0000e-04 eta: 1 day, 9:56:28 time: 0.7403 data_time: 0.0087 memory: 9298 loss_ce: 0.0320 loss: 0.0320 2022/09/15 18:32:24 - mmengine - INFO - Epoch(train) [1][13100/31614] lr: 3.0000e-04 eta: 1 day, 9:54:19 time: 0.7710 data_time: 0.0098 memory: 9298 loss_ce: 0.0420 loss: 0.0420 2022/09/15 18:33:42 - mmengine - INFO - Epoch(train) [1][13200/31614] lr: 3.0000e-04 eta: 1 day, 9:51:56 time: 0.7775 data_time: 0.0051 memory: 9298 loss_ce: 0.0351 loss: 0.0351 2022/09/15 18:35:02 - mmengine - INFO - Epoch(train) [1][13300/31614] lr: 3.0000e-04 eta: 1 day, 9:49:47 time: 0.8564 data_time: 0.0742 memory: 9298 loss_ce: 0.0290 loss: 0.0290 2022/09/15 18:36:21 - mmengine - INFO - Epoch(train) [1][13400/31614] lr: 3.0000e-04 eta: 1 day, 9:47:25 time: 0.8565 data_time: 0.0881 memory: 9298 loss_ce: 0.0342 loss: 0.0342 2022/09/15 18:37:40 - mmengine - INFO - Epoch(train) [1][13500/31614] lr: 3.0000e-04 eta: 1 day, 9:45:09 time: 0.7375 data_time: 0.0410 memory: 9298 loss_ce: 0.0344 loss: 0.0344 2022/09/15 18:38:59 - mmengine - INFO - Epoch(train) [1][13600/31614] lr: 3.0000e-04 eta: 1 day, 9:42:47 time: 0.7738 data_time: 0.0087 memory: 9298 loss_ce: 0.0322 loss: 0.0322 2022/09/15 18:40:19 - mmengine - INFO - Epoch(train) [1][13700/31614] lr: 3.0000e-04 eta: 1 day, 9:40:41 time: 0.8057 data_time: 0.0092 memory: 9298 loss_ce: 0.0364 loss: 0.0364 2022/09/15 18:41:39 - mmengine - INFO - Epoch(train) [1][13800/31614] lr: 3.0000e-04 eta: 1 day, 9:38:32 time: 0.7439 data_time: 0.0063 memory: 9298 loss_ce: 0.0348 loss: 0.0348 2022/09/15 18:42:58 - mmengine - INFO - Epoch(train) [1][13900/31614] lr: 3.0000e-04 eta: 1 day, 9:36:20 time: 0.8505 data_time: 0.0460 memory: 9298 loss_ce: 0.0362 loss: 0.0362 2022/09/15 18:44:20 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 18:44:20 - mmengine - INFO - Epoch(train) [1][14000/31614] lr: 3.0000e-04 eta: 1 day, 9:34:36 time: 0.8873 data_time: 0.0706 memory: 9298 loss_ce: 0.0332 loss: 0.0332 2022/09/15 18:45:40 - mmengine - INFO - Epoch(train) [1][14100/31614] lr: 3.0000e-04 eta: 1 day, 9:32:31 time: 0.8013 data_time: 0.0408 memory: 9298 loss_ce: 0.0331 loss: 0.0331 2022/09/15 18:46:59 - mmengine - INFO - Epoch(train) [1][14200/31614] lr: 3.0000e-04 eta: 1 day, 9:30:22 time: 0.7781 data_time: 0.0093 memory: 9298 loss_ce: 0.0370 loss: 0.0370 2022/09/15 18:48:18 - mmengine - INFO - Epoch(train) [1][14300/31614] lr: 3.0000e-04 eta: 1 day, 9:28:04 time: 0.7800 data_time: 0.0091 memory: 9298 loss_ce: 0.0334 loss: 0.0334 2022/09/15 18:49:37 - mmengine - INFO - Epoch(train) [1][14400/31614] lr: 3.0000e-04 eta: 1 day, 9:25:58 time: 0.7546 data_time: 0.0049 memory: 9298 loss_ce: 0.0295 loss: 0.0295 2022/09/15 18:50:58 - mmengine - INFO - Epoch(train) [1][14500/31614] lr: 3.0000e-04 eta: 1 day, 9:24:00 time: 0.8569 data_time: 0.0791 memory: 9298 loss_ce: 0.0313 loss: 0.0313 2022/09/15 18:52:17 - mmengine - INFO - Epoch(train) [1][14600/31614] lr: 3.0000e-04 eta: 1 day, 9:21:55 time: 0.8029 data_time: 0.0465 memory: 9298 loss_ce: 0.0290 loss: 0.0290 2022/09/15 18:53:36 - mmengine - INFO - Epoch(train) [1][14700/31614] lr: 3.0000e-04 eta: 1 day, 9:19:42 time: 0.7897 data_time: 0.0358 memory: 9298 loss_ce: 0.0300 loss: 0.0300 2022/09/15 18:54:57 - mmengine - INFO - Epoch(train) [1][14800/31614] lr: 3.0000e-04 eta: 1 day, 9:17:49 time: 0.7378 data_time: 0.0090 memory: 9298 loss_ce: 0.0296 loss: 0.0296 2022/09/15 18:56:16 - mmengine - INFO - Epoch(train) [1][14900/31614] lr: 3.0000e-04 eta: 1 day, 9:15:42 time: 0.8179 data_time: 0.0091 memory: 9298 loss_ce: 0.0299 loss: 0.0299 2022/09/15 18:57:35 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 18:57:35 - mmengine - INFO - Epoch(train) [1][15000/31614] lr: 3.0000e-04 eta: 1 day, 9:13:31 time: 0.7918 data_time: 0.0050 memory: 9298 loss_ce: 0.0368 loss: 0.0368 2022/09/15 18:58:56 - mmengine - INFO - Epoch(train) [1][15100/31614] lr: 3.0000e-04 eta: 1 day, 9:11:43 time: 0.8358 data_time: 0.0460 memory: 9298 loss_ce: 0.0344 loss: 0.0344 2022/09/15 19:00:14 - mmengine - INFO - Epoch(train) [1][15200/31614] lr: 3.0000e-04 eta: 1 day, 9:09:32 time: 0.7667 data_time: 0.0484 memory: 9298 loss_ce: 0.0316 loss: 0.0316 2022/09/15 19:01:34 - mmengine - INFO - Epoch(train) [1][15300/31614] lr: 3.0000e-04 eta: 1 day, 9:07:30 time: 0.7899 data_time: 0.0565 memory: 9298 loss_ce: 0.0399 loss: 0.0399 2022/09/15 19:02:51 - mmengine - INFO - Epoch(train) [1][15400/31614] lr: 3.0000e-04 eta: 1 day, 9:05:13 time: 0.7772 data_time: 0.0086 memory: 9298 loss_ce: 0.0361 loss: 0.0361 2022/09/15 19:04:10 - mmengine - INFO - Epoch(train) [1][15500/31614] lr: 3.0000e-04 eta: 1 day, 9:03:05 time: 0.7025 data_time: 0.0089 memory: 9298 loss_ce: 0.0322 loss: 0.0322 2022/09/15 19:05:28 - mmengine - INFO - Epoch(train) [1][15600/31614] lr: 3.0000e-04 eta: 1 day, 9:00:55 time: 0.7691 data_time: 0.0046 memory: 9298 loss_ce: 0.0366 loss: 0.0366 2022/09/15 19:06:49 - mmengine - INFO - Epoch(train) [1][15700/31614] lr: 3.0000e-04 eta: 1 day, 8:59:04 time: 0.8594 data_time: 0.0518 memory: 9298 loss_ce: 0.0312 loss: 0.0312 2022/09/15 19:08:08 - mmengine - INFO - Epoch(train) [1][15800/31614] lr: 3.0000e-04 eta: 1 day, 8:57:03 time: 0.8509 data_time: 0.0456 memory: 9298 loss_ce: 0.0321 loss: 0.0321 2022/09/15 19:09:26 - mmengine - INFO - Epoch(train) [1][15900/31614] lr: 3.0000e-04 eta: 1 day, 8:54:52 time: 0.8589 data_time: 0.0709 memory: 9298 loss_ce: 0.0330 loss: 0.0330 2022/09/15 19:10:44 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 19:10:44 - mmengine - INFO - Epoch(train) [1][16000/31614] lr: 3.0000e-04 eta: 1 day, 8:52:43 time: 0.8156 data_time: 0.0095 memory: 9298 loss_ce: 0.0307 loss: 0.0307 2022/09/15 19:12:02 - mmengine - INFO - Epoch(train) [1][16100/31614] lr: 3.0000e-04 eta: 1 day, 8:50:32 time: 0.7101 data_time: 0.0115 memory: 9298 loss_ce: 0.0314 loss: 0.0314 2022/09/15 19:13:22 - mmengine - INFO - Epoch(train) [1][16200/31614] lr: 3.0000e-04 eta: 1 day, 8:48:37 time: 0.7532 data_time: 0.0056 memory: 9298 loss_ce: 0.0324 loss: 0.0324 2022/09/15 19:14:42 - mmengine - INFO - Epoch(train) [1][16300/31614] lr: 3.0000e-04 eta: 1 day, 8:46:47 time: 0.7982 data_time: 0.0709 memory: 9298 loss_ce: 0.0257 loss: 0.0257 2022/09/15 19:16:02 - mmengine - INFO - Epoch(train) [1][16400/31614] lr: 3.0000e-04 eta: 1 day, 8:44:55 time: 0.8691 data_time: 0.0724 memory: 9298 loss_ce: 0.0332 loss: 0.0332 2022/09/15 19:17:20 - mmengine - INFO - Epoch(train) [1][16500/31614] lr: 3.0000e-04 eta: 1 day, 8:42:50 time: 0.7975 data_time: 0.0363 memory: 9298 loss_ce: 0.0289 loss: 0.0289 2022/09/15 19:18:38 - mmengine - INFO - Epoch(train) [1][16600/31614] lr: 3.0000e-04 eta: 1 day, 8:40:43 time: 0.7932 data_time: 0.0092 memory: 9298 loss_ce: 0.0289 loss: 0.0289 2022/09/15 19:19:57 - mmengine - INFO - Epoch(train) [1][16700/31614] lr: 3.0000e-04 eta: 1 day, 8:38:43 time: 0.7896 data_time: 0.0090 memory: 9298 loss_ce: 0.0345 loss: 0.0345 2022/09/15 19:21:18 - mmengine - INFO - Epoch(train) [1][16800/31614] lr: 3.0000e-04 eta: 1 day, 8:37:00 time: 0.8147 data_time: 0.0055 memory: 9298 loss_ce: 0.0291 loss: 0.0291 2022/09/15 19:22:39 - mmengine - INFO - Epoch(train) [1][16900/31614] lr: 3.0000e-04 eta: 1 day, 8:35:16 time: 0.8501 data_time: 0.0462 memory: 9298 loss_ce: 0.0285 loss: 0.0285 2022/09/15 19:23:59 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 19:23:59 - mmengine - INFO - Epoch(train) [1][17000/31614] lr: 3.0000e-04 eta: 1 day, 8:33:28 time: 0.8494 data_time: 0.0447 memory: 9298 loss_ce: 0.0296 loss: 0.0296 2022/09/15 19:25:17 - mmengine - INFO - Epoch(train) [1][17100/31614] lr: 3.0000e-04 eta: 1 day, 8:31:29 time: 0.8276 data_time: 0.0380 memory: 9298 loss_ce: 0.0313 loss: 0.0313 2022/09/15 19:26:37 - mmengine - INFO - Epoch(train) [1][17200/31614] lr: 3.0000e-04 eta: 1 day, 8:29:35 time: 0.7550 data_time: 0.0086 memory: 9298 loss_ce: 0.0305 loss: 0.0305 2022/09/15 19:27:55 - mmengine - INFO - Epoch(train) [1][17300/31614] lr: 3.0000e-04 eta: 1 day, 8:27:37 time: 0.7355 data_time: 0.0113 memory: 9298 loss_ce: 0.0325 loss: 0.0325 2022/09/15 19:29:16 - mmengine - INFO - Epoch(train) [1][17400/31614] lr: 3.0000e-04 eta: 1 day, 8:25:57 time: 0.8083 data_time: 0.0048 memory: 9298 loss_ce: 0.0323 loss: 0.0323 2022/09/15 19:30:34 - mmengine - INFO - Epoch(train) [1][17500/31614] lr: 3.0000e-04 eta: 1 day, 8:23:49 time: 0.7277 data_time: 0.0391 memory: 9298 loss_ce: 0.0292 loss: 0.0292 2022/09/15 19:31:52 - mmengine - INFO - Epoch(train) [1][17600/31614] lr: 3.0000e-04 eta: 1 day, 8:21:50 time: 0.7618 data_time: 0.0760 memory: 9298 loss_ce: 0.0312 loss: 0.0312 2022/09/15 19:33:11 - mmengine - INFO - Epoch(train) [1][17700/31614] lr: 3.0000e-04 eta: 1 day, 8:19:53 time: 0.8560 data_time: 0.0404 memory: 9298 loss_ce: 0.0325 loss: 0.0325 2022/09/15 19:34:30 - mmengine - INFO - Epoch(train) [1][17800/31614] lr: 3.0000e-04 eta: 1 day, 8:18:02 time: 0.7867 data_time: 0.0116 memory: 9298 loss_ce: 0.0348 loss: 0.0348 2022/09/15 19:35:50 - mmengine - INFO - Epoch(train) [1][17900/31614] lr: 3.0000e-04 eta: 1 day, 8:16:13 time: 0.8308 data_time: 0.0436 memory: 9298 loss_ce: 0.0375 loss: 0.0375 2022/09/15 19:37:10 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 19:37:10 - mmengine - INFO - Epoch(train) [1][18000/31614] lr: 3.0000e-04 eta: 1 day, 8:14:27 time: 0.7969 data_time: 0.0050 memory: 9298 loss_ce: 0.0350 loss: 0.0350 2022/09/15 19:38:31 - mmengine - INFO - Epoch(train) [1][18100/31614] lr: 3.0000e-04 eta: 1 day, 8:12:50 time: 0.8344 data_time: 0.0540 memory: 9298 loss_ce: 0.0322 loss: 0.0322 2022/09/15 19:39:51 - mmengine - INFO - Epoch(train) [1][18200/31614] lr: 3.0000e-04 eta: 1 day, 8:11:03 time: 0.8153 data_time: 0.0569 memory: 9298 loss_ce: 0.0358 loss: 0.0358 2022/09/15 19:41:11 - mmengine - INFO - Epoch(train) [1][18300/31614] lr: 3.0000e-04 eta: 1 day, 8:09:22 time: 0.8200 data_time: 0.0362 memory: 9298 loss_ce: 0.0276 loss: 0.0276 2022/09/15 19:42:31 - mmengine - INFO - Epoch(train) [1][18400/31614] lr: 3.0000e-04 eta: 1 day, 8:07:38 time: 0.7704 data_time: 0.0087 memory: 9298 loss_ce: 0.0335 loss: 0.0335 2022/09/15 19:43:49 - mmengine - INFO - Epoch(train) [1][18500/31614] lr: 3.0000e-04 eta: 1 day, 8:05:36 time: 0.7389 data_time: 0.0121 memory: 9298 loss_ce: 0.0358 loss: 0.0358 2022/09/15 19:45:06 - mmengine - INFO - Epoch(train) [1][18600/31614] lr: 3.0000e-04 eta: 1 day, 8:03:30 time: 0.7271 data_time: 0.0071 memory: 9298 loss_ce: 0.0278 loss: 0.0278 2022/09/15 19:46:27 - mmengine - INFO - Epoch(train) [1][18700/31614] lr: 3.0000e-04 eta: 1 day, 8:01:54 time: 0.7386 data_time: 0.0491 memory: 9298 loss_ce: 0.0330 loss: 0.0330 2022/09/15 19:47:46 - mmengine - INFO - Epoch(train) [1][18800/31614] lr: 3.0000e-04 eta: 1 day, 8:00:08 time: 0.8932 data_time: 0.0956 memory: 9298 loss_ce: 0.0334 loss: 0.0334 2022/09/15 19:49:06 - mmengine - INFO - Epoch(train) [1][18900/31614] lr: 3.0000e-04 eta: 1 day, 7:58:24 time: 0.8164 data_time: 0.0691 memory: 9298 loss_ce: 0.0321 loss: 0.0321 2022/09/15 19:50:26 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 19:50:26 - mmengine - INFO - Epoch(train) [1][19000/31614] lr: 3.0000e-04 eta: 1 day, 7:56:40 time: 0.8230 data_time: 0.0111 memory: 9298 loss_ce: 0.0313 loss: 0.0313 2022/09/15 19:51:45 - mmengine - INFO - Epoch(train) [1][19100/31614] lr: 3.0000e-04 eta: 1 day, 7:54:48 time: 0.7940 data_time: 0.0115 memory: 9298 loss_ce: 0.0321 loss: 0.0321 2022/09/15 19:53:05 - mmengine - INFO - Epoch(train) [1][19200/31614] lr: 3.0000e-04 eta: 1 day, 7:53:07 time: 0.7425 data_time: 0.0066 memory: 9298 loss_ce: 0.0325 loss: 0.0325 2022/09/15 19:54:25 - mmengine - INFO - Epoch(train) [1][19300/31614] lr: 3.0000e-04 eta: 1 day, 7:51:30 time: 0.8468 data_time: 0.0532 memory: 9298 loss_ce: 0.0300 loss: 0.0300 2022/09/15 19:55:46 - mmengine - INFO - Epoch(train) [1][19400/31614] lr: 3.0000e-04 eta: 1 day, 7:49:50 time: 0.8301 data_time: 0.0525 memory: 9298 loss_ce: 0.0297 loss: 0.0297 2022/09/15 19:57:03 - mmengine - INFO - Epoch(train) [1][19500/31614] lr: 3.0000e-04 eta: 1 day, 7:47:48 time: 0.7137 data_time: 0.0023 memory: 9298 loss_ce: 0.0225 loss: 0.0225 2022/09/15 19:58:22 - mmengine - INFO - Epoch(train) [1][19600/31614] lr: 3.0000e-04 eta: 1 day, 7:46:03 time: 0.7197 data_time: 0.0101 memory: 9298 loss_ce: 0.0337 loss: 0.0337 2022/09/15 19:59:42 - mmengine - INFO - Epoch(train) [1][19700/31614] lr: 3.0000e-04 eta: 1 day, 7:44:20 time: 0.7648 data_time: 0.0099 memory: 9298 loss_ce: 0.0295 loss: 0.0295 2022/09/15 20:01:04 - mmengine - INFO - Epoch(train) [1][19800/31614] lr: 3.0000e-04 eta: 1 day, 7:42:54 time: 0.9131 data_time: 0.0982 memory: 9298 loss_ce: 0.0334 loss: 0.0334 2022/09/15 20:02:27 - mmengine - INFO - Epoch(train) [1][19900/31614] lr: 3.0000e-04 eta: 1 day, 7:41:32 time: 0.9044 data_time: 0.1109 memory: 9298 loss_ce: 0.0279 loss: 0.0279 2022/09/15 20:03:47 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 20:03:47 - mmengine - INFO - Epoch(train) [1][20000/31614] lr: 3.0000e-04 eta: 1 day, 7:39:53 time: 0.8334 data_time: 0.0497 memory: 9298 loss_ce: 0.0239 loss: 0.0239 2022/09/15 20:05:04 - mmengine - INFO - Epoch(train) [1][20100/31614] lr: 3.0000e-04 eta: 1 day, 7:37:55 time: 0.7927 data_time: 0.0020 memory: 9298 loss_ce: 0.0333 loss: 0.0333 2022/09/15 20:06:25 - mmengine - INFO - Epoch(train) [1][20200/31614] lr: 3.0000e-04 eta: 1 day, 7:36:23 time: 0.7956 data_time: 0.0167 memory: 9298 loss_ce: 0.0290 loss: 0.0290 2022/09/15 20:07:44 - mmengine - INFO - Epoch(train) [1][20300/31614] lr: 3.0000e-04 eta: 1 day, 7:34:36 time: 0.7132 data_time: 0.0117 memory: 9298 loss_ce: 0.0322 loss: 0.0322 2022/09/15 20:09:04 - mmengine - INFO - Epoch(train) [1][20400/31614] lr: 3.0000e-04 eta: 1 day, 7:32:55 time: 0.8082 data_time: 0.0536 memory: 9298 loss_ce: 0.0267 loss: 0.0267 2022/09/15 20:10:24 - mmengine - INFO - Epoch(train) [1][20500/31614] lr: 3.0000e-04 eta: 1 day, 7:31:15 time: 0.8209 data_time: 0.0971 memory: 9298 loss_ce: 0.0283 loss: 0.0283 2022/09/15 20:11:43 - mmengine - INFO - Epoch(train) [1][20600/31614] lr: 3.0000e-04 eta: 1 day, 7:29:29 time: 0.9004 data_time: 0.0901 memory: 9298 loss_ce: 0.0282 loss: 0.0282 2022/09/15 20:13:02 - mmengine - INFO - Epoch(train) [1][20700/31614] lr: 3.0000e-04 eta: 1 day, 7:27:42 time: 0.7980 data_time: 0.0034 memory: 9298 loss_ce: 0.0290 loss: 0.0290 2022/09/15 20:14:20 - mmengine - INFO - Epoch(train) [1][20800/31614] lr: 3.0000e-04 eta: 1 day, 7:25:50 time: 0.7753 data_time: 0.0094 memory: 9298 loss_ce: 0.0283 loss: 0.0283 2022/09/15 20:15:40 - mmengine - INFO - Epoch(train) [1][20900/31614] lr: 3.0000e-04 eta: 1 day, 7:24:11 time: 0.8546 data_time: 0.0148 memory: 9298 loss_ce: 0.0287 loss: 0.0287 2022/09/15 20:16:57 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 20:16:57 - mmengine - INFO - Epoch(train) [1][21000/31614] lr: 3.0000e-04 eta: 1 day, 7:22:15 time: 0.7723 data_time: 0.0581 memory: 9298 loss_ce: 0.0294 loss: 0.0294 2022/09/15 20:18:18 - mmengine - INFO - Epoch(train) [1][21100/31614] lr: 3.0000e-04 eta: 1 day, 7:20:45 time: 0.8622 data_time: 0.0494 memory: 9298 loss_ce: 0.0277 loss: 0.0277 2022/09/15 20:19:41 - mmengine - INFO - Epoch(train) [1][21200/31614] lr: 3.0000e-04 eta: 1 day, 7:19:27 time: 0.8323 data_time: 0.0699 memory: 9298 loss_ce: 0.0257 loss: 0.0257 2022/09/15 20:21:04 - mmengine - INFO - Epoch(train) [1][21300/31614] lr: 3.0000e-04 eta: 1 day, 7:18:06 time: 0.7354 data_time: 0.0033 memory: 9298 loss_ce: 0.0236 loss: 0.0236 2022/09/15 20:22:24 - mmengine - INFO - Epoch(train) [1][21400/31614] lr: 3.0000e-04 eta: 1 day, 7:16:27 time: 0.7949 data_time: 0.0094 memory: 9298 loss_ce: 0.0246 loss: 0.0246 2022/09/15 20:23:43 - mmengine - INFO - Epoch(train) [1][21500/31614] lr: 3.0000e-04 eta: 1 day, 7:14:43 time: 0.7493 data_time: 0.0159 memory: 9298 loss_ce: 0.0374 loss: 0.0374 2022/09/15 20:25:04 - mmengine - INFO - Epoch(train) [1][21600/31614] lr: 3.0000e-04 eta: 1 day, 7:13:11 time: 0.8704 data_time: 0.0821 memory: 9298 loss_ce: 0.0295 loss: 0.0295 2022/09/15 20:26:22 - mmengine - INFO - Epoch(train) [1][21700/31614] lr: 3.0000e-04 eta: 1 day, 7:11:25 time: 0.8229 data_time: 0.0454 memory: 9298 loss_ce: 0.0286 loss: 0.0286 2022/09/15 20:27:41 - mmengine - INFO - Epoch(train) [1][21800/31614] lr: 3.0000e-04 eta: 1 day, 7:09:42 time: 0.8242 data_time: 0.0477 memory: 9298 loss_ce: 0.0268 loss: 0.0268 2022/09/15 20:29:01 - mmengine - INFO - Epoch(train) [1][21900/31614] lr: 3.0000e-04 eta: 1 day, 7:08:04 time: 0.8112 data_time: 0.0025 memory: 9298 loss_ce: 0.0247 loss: 0.0247 2022/09/15 20:30:20 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 20:30:20 - mmengine - INFO - Epoch(train) [1][22000/31614] lr: 3.0000e-04 eta: 1 day, 7:06:23 time: 0.6731 data_time: 0.0128 memory: 9298 loss_ce: 0.0321 loss: 0.0321 2022/09/15 20:31:41 - mmengine - INFO - Epoch(train) [1][22100/31614] lr: 3.0000e-04 eta: 1 day, 7:04:48 time: 0.7665 data_time: 0.0118 memory: 9298 loss_ce: 0.0280 loss: 0.0280 2022/09/15 20:33:01 - mmengine - INFO - Epoch(train) [1][22200/31614] lr: 3.0000e-04 eta: 1 day, 7:03:14 time: 0.9025 data_time: 0.0858 memory: 9298 loss_ce: 0.0292 loss: 0.0292 2022/09/15 20:34:22 - mmengine - INFO - Epoch(train) [1][22300/31614] lr: 3.0000e-04 eta: 1 day, 7:01:42 time: 0.7574 data_time: 0.0859 memory: 9298 loss_ce: 0.0257 loss: 0.0257 2022/09/15 20:35:41 - mmengine - INFO - Epoch(train) [1][22400/31614] lr: 3.0000e-04 eta: 1 day, 7:00:03 time: 0.8249 data_time: 0.0757 memory: 9298 loss_ce: 0.0274 loss: 0.0274 2022/09/15 20:37:01 - mmengine - INFO - Epoch(train) [1][22500/31614] lr: 3.0000e-04 eta: 1 day, 6:58:28 time: 0.7851 data_time: 0.0044 memory: 9298 loss_ce: 0.0282 loss: 0.0282 2022/09/15 20:38:20 - mmengine - INFO - Epoch(train) [1][22600/31614] lr: 3.0000e-04 eta: 1 day, 6:56:47 time: 0.8208 data_time: 0.0380 memory: 9298 loss_ce: 0.0291 loss: 0.0291 2022/09/15 20:39:37 - mmengine - INFO - Epoch(train) [1][22700/31614] lr: 3.0000e-04 eta: 1 day, 6:54:50 time: 0.7410 data_time: 0.0141 memory: 9298 loss_ce: 0.0283 loss: 0.0283 2022/09/15 20:40:56 - mmengine - INFO - Epoch(train) [1][22800/31614] lr: 3.0000e-04 eta: 1 day, 6:53:11 time: 0.8195 data_time: 0.0437 memory: 9298 loss_ce: 0.0245 loss: 0.0245 2022/09/15 20:42:14 - mmengine - INFO - Epoch(train) [1][22900/31614] lr: 3.0000e-04 eta: 1 day, 6:51:22 time: 0.8138 data_time: 0.0489 memory: 9298 loss_ce: 0.0268 loss: 0.0268 2022/09/15 20:43:31 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 20:43:31 - mmengine - INFO - Epoch(train) [1][23000/31614] lr: 3.0000e-04 eta: 1 day, 6:49:30 time: 0.7574 data_time: 0.0671 memory: 9298 loss_ce: 0.0304 loss: 0.0304 2022/09/15 20:44:48 - mmengine - INFO - Epoch(train) [1][23100/31614] lr: 3.0000e-04 eta: 1 day, 6:47:36 time: 0.7613 data_time: 0.0042 memory: 9298 loss_ce: 0.0271 loss: 0.0271 2022/09/15 20:46:05 - mmengine - INFO - Epoch(train) [1][23200/31614] lr: 3.0000e-04 eta: 1 day, 6:45:44 time: 0.7862 data_time: 0.0113 memory: 9298 loss_ce: 0.0279 loss: 0.0279 2022/09/15 20:47:23 - mmengine - INFO - Epoch(train) [1][23300/31614] lr: 3.0000e-04 eta: 1 day, 6:43:58 time: 0.7626 data_time: 0.0115 memory: 9298 loss_ce: 0.0304 loss: 0.0304 2022/09/15 20:48:41 - mmengine - INFO - Epoch(train) [1][23400/31614] lr: 3.0000e-04 eta: 1 day, 6:42:16 time: 0.7811 data_time: 0.0437 memory: 9298 loss_ce: 0.0267 loss: 0.0267 2022/09/15 20:49:59 - mmengine - INFO - Epoch(train) [1][23500/31614] lr: 3.0000e-04 eta: 1 day, 6:40:30 time: 0.7330 data_time: 0.0447 memory: 9298 loss_ce: 0.0296 loss: 0.0296 2022/09/15 20:51:17 - mmengine - INFO - Epoch(train) [1][23600/31614] lr: 3.0000e-04 eta: 1 day, 6:38:44 time: 0.8417 data_time: 0.0859 memory: 9298 loss_ce: 0.0212 loss: 0.0212 2022/09/15 20:52:32 - mmengine - INFO - Epoch(train) [1][23700/31614] lr: 3.0000e-04 eta: 1 day, 6:36:43 time: 0.7547 data_time: 0.0044 memory: 9298 loss_ce: 0.0220 loss: 0.0220 2022/09/15 20:53:50 - mmengine - INFO - Epoch(train) [1][23800/31614] lr: 3.0000e-04 eta: 1 day, 6:34:57 time: 0.7697 data_time: 0.0140 memory: 9298 loss_ce: 0.0261 loss: 0.0261 2022/09/15 20:55:07 - mmengine - INFO - Epoch(train) [1][23900/31614] lr: 3.0000e-04 eta: 1 day, 6:33:08 time: 0.6542 data_time: 0.0107 memory: 9298 loss_ce: 0.0262 loss: 0.0262 2022/09/15 20:56:26 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 20:56:26 - mmengine - INFO - Epoch(train) [1][24000/31614] lr: 3.0000e-04 eta: 1 day, 6:31:30 time: 0.8095 data_time: 0.0772 memory: 9298 loss_ce: 0.0252 loss: 0.0252 2022/09/15 20:57:43 - mmengine - INFO - Epoch(train) [1][24100/31614] lr: 3.0000e-04 eta: 1 day, 6:29:39 time: 0.7824 data_time: 0.0462 memory: 9298 loss_ce: 0.0293 loss: 0.0293 2022/09/15 20:59:01 - mmengine - INFO - Epoch(train) [1][24200/31614] lr: 3.0000e-04 eta: 1 day, 6:27:52 time: 0.8008 data_time: 0.0407 memory: 9298 loss_ce: 0.0228 loss: 0.0228 2022/09/15 21:00:17 - mmengine - INFO - Epoch(train) [1][24300/31614] lr: 3.0000e-04 eta: 1 day, 6:25:58 time: 0.7571 data_time: 0.0046 memory: 9298 loss_ce: 0.0327 loss: 0.0327 2022/09/15 21:01:34 - mmengine - INFO - Epoch(train) [1][24400/31614] lr: 3.0000e-04 eta: 1 day, 6:24:11 time: 0.7868 data_time: 0.0120 memory: 9298 loss_ce: 0.0280 loss: 0.0280 2022/09/15 21:02:51 - mmengine - INFO - Epoch(train) [1][24500/31614] lr: 3.0000e-04 eta: 1 day, 6:22:23 time: 0.7285 data_time: 0.0131 memory: 9298 loss_ce: 0.0318 loss: 0.0318 2022/09/15 21:04:08 - mmengine - INFO - Epoch(train) [1][24600/31614] lr: 3.0000e-04 eta: 1 day, 6:20:32 time: 0.8111 data_time: 0.0706 memory: 9298 loss_ce: 0.0262 loss: 0.0262 2022/09/15 21:05:26 - mmengine - INFO - Epoch(train) [1][24700/31614] lr: 3.0000e-04 eta: 1 day, 6:18:50 time: 0.8470 data_time: 0.0887 memory: 9298 loss_ce: 0.0210 loss: 0.0210 2022/09/15 21:06:44 - mmengine - INFO - Epoch(train) [1][24800/31614] lr: 3.0000e-04 eta: 1 day, 6:17:09 time: 0.8303 data_time: 0.0369 memory: 9298 loss_ce: 0.0274 loss: 0.0274 2022/09/15 21:08:01 - mmengine - INFO - Epoch(train) [1][24900/31614] lr: 3.0000e-04 eta: 1 day, 6:15:23 time: 0.7758 data_time: 0.0045 memory: 9298 loss_ce: 0.0267 loss: 0.0267 2022/09/15 21:09:18 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 21:09:18 - mmengine - INFO - Epoch(train) [1][25000/31614] lr: 3.0000e-04 eta: 1 day, 6:13:34 time: 0.7833 data_time: 0.0365 memory: 9298 loss_ce: 0.0289 loss: 0.0289 2022/09/15 21:10:35 - mmengine - INFO - Epoch(train) [1][25100/31614] lr: 3.0000e-04 eta: 1 day, 6:11:48 time: 0.6733 data_time: 0.0115 memory: 9298 loss_ce: 0.0311 loss: 0.0311 2022/09/15 21:11:52 - mmengine - INFO - Epoch(train) [1][25200/31614] lr: 3.0000e-04 eta: 1 day, 6:09:58 time: 0.7382 data_time: 0.0463 memory: 9298 loss_ce: 0.0270 loss: 0.0270 2022/09/15 21:13:09 - mmengine - INFO - Epoch(train) [1][25300/31614] lr: 3.0000e-04 eta: 1 day, 6:08:11 time: 0.8367 data_time: 0.0839 memory: 9298 loss_ce: 0.0240 loss: 0.0240 2022/09/15 21:14:26 - mmengine - INFO - Epoch(train) [1][25400/31614] lr: 3.0000e-04 eta: 1 day, 6:06:28 time: 0.8311 data_time: 0.0752 memory: 9298 loss_ce: 0.0227 loss: 0.0227 2022/09/15 21:15:43 - mmengine - INFO - Epoch(train) [1][25500/31614] lr: 3.0000e-04 eta: 1 day, 6:04:41 time: 0.7599 data_time: 0.0044 memory: 9298 loss_ce: 0.0256 loss: 0.0256 2022/09/15 21:17:02 - mmengine - INFO - Epoch(train) [1][25600/31614] lr: 3.0000e-04 eta: 1 day, 6:03:06 time: 0.7635 data_time: 0.0126 memory: 9298 loss_ce: 0.0247 loss: 0.0247 2022/09/15 21:18:20 - mmengine - INFO - Epoch(train) [1][25700/31614] lr: 3.0000e-04 eta: 1 day, 6:01:24 time: 0.7263 data_time: 0.0120 memory: 9298 loss_ce: 0.0336 loss: 0.0336 2022/09/15 21:19:37 - mmengine - INFO - Epoch(train) [1][25800/31614] lr: 3.0000e-04 eta: 1 day, 5:59:39 time: 0.8041 data_time: 0.0463 memory: 9298 loss_ce: 0.0292 loss: 0.0292 2022/09/15 21:20:53 - mmengine - INFO - Epoch(train) [1][25900/31614] lr: 3.0000e-04 eta: 1 day, 5:57:49 time: 0.8127 data_time: 0.0440 memory: 9298 loss_ce: 0.0263 loss: 0.0263 2022/09/15 21:22:11 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 21:22:11 - mmengine - INFO - Epoch(train) [1][26000/31614] lr: 3.0000e-04 eta: 1 day, 5:56:09 time: 0.8201 data_time: 0.0938 memory: 9298 loss_ce: 0.0267 loss: 0.0267 2022/09/15 21:23:28 - mmengine - INFO - Epoch(train) [1][26100/31614] lr: 3.0000e-04 eta: 1 day, 5:54:24 time: 0.7587 data_time: 0.0045 memory: 9298 loss_ce: 0.0221 loss: 0.0221 2022/09/15 21:24:46 - mmengine - INFO - Epoch(train) [1][26200/31614] lr: 3.0000e-04 eta: 1 day, 5:52:46 time: 0.7516 data_time: 0.0115 memory: 9298 loss_ce: 0.0221 loss: 0.0221 2022/09/15 21:26:04 - mmengine - INFO - Epoch(train) [1][26300/31614] lr: 3.0000e-04 eta: 1 day, 5:51:05 time: 0.7476 data_time: 0.0112 memory: 9298 loss_ce: 0.0244 loss: 0.0244 2022/09/15 21:27:22 - mmengine - INFO - Epoch(train) [1][26400/31614] lr: 3.0000e-04 eta: 1 day, 5:49:24 time: 0.7410 data_time: 0.0830 memory: 9298 loss_ce: 0.0303 loss: 0.0303 2022/09/15 21:28:39 - mmengine - INFO - Epoch(train) [1][26500/31614] lr: 3.0000e-04 eta: 1 day, 5:47:42 time: 0.7806 data_time: 0.0481 memory: 9298 loss_ce: 0.0251 loss: 0.0251 2022/09/15 21:29:56 - mmengine - INFO - Epoch(train) [1][26600/31614] lr: 3.0000e-04 eta: 1 day, 5:45:59 time: 0.7399 data_time: 0.0373 memory: 9298 loss_ce: 0.0263 loss: 0.0263 2022/09/15 21:31:14 - mmengine - INFO - Epoch(train) [1][26700/31614] lr: 3.0000e-04 eta: 1 day, 5:44:18 time: 0.7527 data_time: 0.0042 memory: 9298 loss_ce: 0.0258 loss: 0.0258 2022/09/15 21:32:31 - mmengine - INFO - Epoch(train) [1][26800/31614] lr: 3.0000e-04 eta: 1 day, 5:42:36 time: 0.7578 data_time: 0.0112 memory: 9298 loss_ce: 0.0255 loss: 0.0255 2022/09/15 21:33:47 - mmengine - INFO - Epoch(train) [1][26900/31614] lr: 3.0000e-04 eta: 1 day, 5:40:45 time: 0.7537 data_time: 0.0111 memory: 9298 loss_ce: 0.0285 loss: 0.0285 2022/09/15 21:35:05 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 21:35:05 - mmengine - INFO - Epoch(train) [1][27000/31614] lr: 3.0000e-04 eta: 1 day, 5:39:07 time: 0.8948 data_time: 0.1067 memory: 9298 loss_ce: 0.0262 loss: 0.0262 2022/09/15 21:36:22 - mmengine - INFO - Epoch(train) [1][27100/31614] lr: 3.0000e-04 eta: 1 day, 5:37:26 time: 0.8436 data_time: 0.0713 memory: 9298 loss_ce: 0.0280 loss: 0.0280 2022/09/15 21:37:40 - mmengine - INFO - Epoch(train) [1][27200/31614] lr: 3.0000e-04 eta: 1 day, 5:35:49 time: 0.7841 data_time: 0.0384 memory: 9298 loss_ce: 0.0280 loss: 0.0280 2022/09/15 21:38:57 - mmengine - INFO - Epoch(train) [1][27300/31614] lr: 3.0000e-04 eta: 1 day, 5:34:05 time: 0.7425 data_time: 0.0045 memory: 9298 loss_ce: 0.0182 loss: 0.0182 2022/09/15 21:40:15 - mmengine - INFO - Epoch(train) [1][27400/31614] lr: 3.0000e-04 eta: 1 day, 5:32:27 time: 0.7851 data_time: 0.0391 memory: 9298 loss_ce: 0.0275 loss: 0.0275 2022/09/15 21:41:34 - mmengine - INFO - Epoch(train) [1][27500/31614] lr: 3.0000e-04 eta: 1 day, 5:30:53 time: 0.7455 data_time: 0.0107 memory: 9298 loss_ce: 0.0271 loss: 0.0271 2022/09/15 21:42:52 - mmengine - INFO - Epoch(train) [1][27600/31614] lr: 3.0000e-04 eta: 1 day, 5:29:16 time: 0.7739 data_time: 0.0445 memory: 9298 loss_ce: 0.0270 loss: 0.0270 2022/09/15 21:44:10 - mmengine - INFO - Epoch(train) [1][27700/31614] lr: 3.0000e-04 eta: 1 day, 5:27:40 time: 0.8418 data_time: 0.0504 memory: 9298 loss_ce: 0.0254 loss: 0.0254 2022/09/15 21:45:27 - mmengine - INFO - Epoch(train) [1][27800/31614] lr: 3.0000e-04 eta: 1 day, 5:25:57 time: 0.8085 data_time: 0.0647 memory: 9298 loss_ce: 0.0193 loss: 0.0193 2022/09/15 21:46:44 - mmengine - INFO - Epoch(train) [1][27900/31614] lr: 3.0000e-04 eta: 1 day, 5:24:16 time: 0.7527 data_time: 0.0047 memory: 9298 loss_ce: 0.0298 loss: 0.0298 2022/09/15 21:48:01 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 21:48:01 - mmengine - INFO - Epoch(train) [1][28000/31614] lr: 3.0000e-04 eta: 1 day, 5:22:34 time: 0.7539 data_time: 0.0116 memory: 9298 loss_ce: 0.0234 loss: 0.0234 2022/09/15 21:49:18 - mmengine - INFO - Epoch(train) [1][28100/31614] lr: 3.0000e-04 eta: 1 day, 5:20:55 time: 0.7656 data_time: 0.0183 memory: 9298 loss_ce: 0.0268 loss: 0.0268 2022/09/15 21:50:37 - mmengine - INFO - Epoch(train) [1][28200/31614] lr: 3.0000e-04 eta: 1 day, 5:19:22 time: 0.7805 data_time: 0.0457 memory: 9298 loss_ce: 0.0269 loss: 0.0269 2022/09/15 21:51:55 - mmengine - INFO - Epoch(train) [1][28300/31614] lr: 3.0000e-04 eta: 1 day, 5:17:46 time: 0.8050 data_time: 0.0450 memory: 9298 loss_ce: 0.0237 loss: 0.0237 2022/09/15 21:53:15 - mmengine - INFO - Epoch(train) [1][28400/31614] lr: 3.0000e-04 eta: 1 day, 5:16:17 time: 0.8247 data_time: 0.0619 memory: 9298 loss_ce: 0.0278 loss: 0.0278 2022/09/15 21:54:32 - mmengine - INFO - Epoch(train) [1][28500/31614] lr: 3.0000e-04 eta: 1 day, 5:14:36 time: 0.7506 data_time: 0.0041 memory: 9298 loss_ce: 0.0276 loss: 0.0276 2022/09/15 21:55:50 - mmengine - INFO - Epoch(train) [1][28600/31614] lr: 3.0000e-04 eta: 1 day, 5:13:01 time: 0.7510 data_time: 0.0106 memory: 9298 loss_ce: 0.0226 loss: 0.0226 2022/09/15 21:57:07 - mmengine - INFO - Epoch(train) [1][28700/31614] lr: 3.0000e-04 eta: 1 day, 5:11:20 time: 0.7673 data_time: 0.0117 memory: 9298 loss_ce: 0.0237 loss: 0.0237 2022/09/15 21:58:26 - mmengine - INFO - Epoch(train) [1][28800/31614] lr: 3.0000e-04 eta: 1 day, 5:09:48 time: 0.8123 data_time: 0.0703 memory: 9298 loss_ce: 0.0271 loss: 0.0271 2022/09/15 21:59:44 - mmengine - INFO - Epoch(train) [1][28900/31614] lr: 3.0000e-04 eta: 1 day, 5:08:12 time: 0.7672 data_time: 0.0439 memory: 9298 loss_ce: 0.0223 loss: 0.0223 2022/09/15 22:01:01 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 22:01:01 - mmengine - INFO - Epoch(train) [1][29000/31614] lr: 3.0000e-04 eta: 1 day, 5:06:32 time: 0.8009 data_time: 0.0393 memory: 9298 loss_ce: 0.0276 loss: 0.0276 2022/09/15 22:02:18 - mmengine - INFO - Epoch(train) [1][29100/31614] lr: 3.0000e-04 eta: 1 day, 5:04:52 time: 0.7531 data_time: 0.0042 memory: 9298 loss_ce: 0.0272 loss: 0.0272 2022/09/15 22:03:37 - mmengine - INFO - Epoch(train) [1][29200/31614] lr: 3.0000e-04 eta: 1 day, 5:03:22 time: 0.7517 data_time: 0.0109 memory: 9298 loss_ce: 0.0240 loss: 0.0240 2022/09/15 22:04:54 - mmengine - INFO - Epoch(train) [1][29300/31614] lr: 3.0000e-04 eta: 1 day, 5:01:44 time: 0.7505 data_time: 0.0116 memory: 9298 loss_ce: 0.0245 loss: 0.0245 2022/09/15 22:06:10 - mmengine - INFO - Epoch(train) [1][29400/31614] lr: 3.0000e-04 eta: 1 day, 5:00:01 time: 0.8105 data_time: 0.0719 memory: 9298 loss_ce: 0.0270 loss: 0.0270 2022/09/15 22:07:26 - mmengine - INFO - Epoch(train) [1][29500/31614] lr: 3.0000e-04 eta: 1 day, 4:58:17 time: 0.7458 data_time: 0.0893 memory: 9298 loss_ce: 0.0205 loss: 0.0205 2022/09/15 22:08:44 - mmengine - INFO - Epoch(train) [1][29600/31614] lr: 3.0000e-04 eta: 1 day, 4:56:41 time: 0.8129 data_time: 0.0376 memory: 9298 loss_ce: 0.0237 loss: 0.0237 2022/09/15 22:10:01 - mmengine - INFO - Epoch(train) [1][29700/31614] lr: 3.0000e-04 eta: 1 day, 4:55:01 time: 0.6605 data_time: 0.0042 memory: 9298 loss_ce: 0.0256 loss: 0.0256 2022/09/15 22:11:19 - mmengine - INFO - Epoch(train) [1][29800/31614] lr: 3.0000e-04 eta: 1 day, 4:53:26 time: 0.7692 data_time: 0.0568 memory: 9298 loss_ce: 0.0292 loss: 0.0292 2022/09/15 22:12:36 - mmengine - INFO - Epoch(train) [1][29900/31614] lr: 3.0000e-04 eta: 1 day, 4:51:49 time: 0.7288 data_time: 0.0110 memory: 9298 loss_ce: 0.0327 loss: 0.0327 2022/09/15 22:13:53 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 22:13:53 - mmengine - INFO - Epoch(train) [1][30000/31614] lr: 3.0000e-04 eta: 1 day, 4:50:11 time: 0.8060 data_time: 0.0493 memory: 9298 loss_ce: 0.0234 loss: 0.0234 2022/09/15 22:15:11 - mmengine - INFO - Epoch(train) [1][30100/31614] lr: 3.0000e-04 eta: 1 day, 4:48:37 time: 0.8021 data_time: 0.0736 memory: 9298 loss_ce: 0.0245 loss: 0.0245 2022/09/15 22:16:28 - mmengine - INFO - Epoch(train) [1][30200/31614] lr: 3.0000e-04 eta: 1 day, 4:46:57 time: 0.7953 data_time: 0.0735 memory: 9298 loss_ce: 0.0247 loss: 0.0247 2022/09/15 22:17:45 - mmengine - INFO - Epoch(train) [1][30300/31614] lr: 3.0000e-04 eta: 1 day, 4:45:22 time: 0.7238 data_time: 0.0065 memory: 9298 loss_ce: 0.0200 loss: 0.0200 2022/09/15 22:19:03 - mmengine - INFO - Epoch(train) [1][30400/31614] lr: 3.0000e-04 eta: 1 day, 4:43:46 time: 0.7706 data_time: 0.0114 memory: 9298 loss_ce: 0.0225 loss: 0.0225 2022/09/15 22:20:20 - mmengine - INFO - Epoch(train) [1][30500/31614] lr: 3.0000e-04 eta: 1 day, 4:42:10 time: 0.7547 data_time: 0.0126 memory: 9298 loss_ce: 0.0258 loss: 0.0258 2022/09/15 22:21:39 - mmengine - INFO - Epoch(train) [1][30600/31614] lr: 3.0000e-04 eta: 1 day, 4:40:38 time: 0.7915 data_time: 0.0482 memory: 9298 loss_ce: 0.0283 loss: 0.0283 2022/09/15 22:22:56 - mmengine - INFO - Epoch(train) [1][30700/31614] lr: 3.0000e-04 eta: 1 day, 4:39:02 time: 0.8148 data_time: 0.0454 memory: 9298 loss_ce: 0.0270 loss: 0.0270 2022/09/15 22:24:13 - mmengine - INFO - Epoch(train) [1][30800/31614] lr: 3.0000e-04 eta: 1 day, 4:37:25 time: 0.8311 data_time: 0.0777 memory: 9298 loss_ce: 0.0257 loss: 0.0257 2022/09/15 22:25:30 - mmengine - INFO - Epoch(train) [1][30900/31614] lr: 3.0000e-04 eta: 1 day, 4:35:48 time: 0.7388 data_time: 0.0047 memory: 9298 loss_ce: 0.0244 loss: 0.0244 2022/09/15 22:26:49 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 22:26:49 - mmengine - INFO - Epoch(train) [1][31000/31614] lr: 3.0000e-04 eta: 1 day, 4:34:17 time: 0.7632 data_time: 0.0115 memory: 9298 loss_ce: 0.0243 loss: 0.0243 2022/09/15 22:28:06 - mmengine - INFO - Epoch(train) [1][31100/31614] lr: 3.0000e-04 eta: 1 day, 4:32:41 time: 0.7134 data_time: 0.0107 memory: 9298 loss_ce: 0.0178 loss: 0.0178 2022/09/15 22:29:24 - mmengine - INFO - Epoch(train) [1][31200/31614] lr: 3.0000e-04 eta: 1 day, 4:31:08 time: 0.8687 data_time: 0.0819 memory: 9298 loss_ce: 0.0218 loss: 0.0218 2022/09/15 22:30:41 - mmengine - INFO - Epoch(train) [1][31300/31614] lr: 3.0000e-04 eta: 1 day, 4:29:32 time: 0.8153 data_time: 0.0589 memory: 9298 loss_ce: 0.0210 loss: 0.0210 2022/09/15 22:31:58 - mmengine - INFO - Epoch(train) [1][31400/31614] lr: 3.0000e-04 eta: 1 day, 4:27:53 time: 0.7798 data_time: 0.0389 memory: 9298 loss_ce: 0.0246 loss: 0.0246 2022/09/15 22:33:13 - mmengine - INFO - Epoch(train) [1][31500/31614] lr: 3.0000e-04 eta: 1 day, 4:26:11 time: 0.7030 data_time: 0.0057 memory: 9298 loss_ce: 0.0236 loss: 0.0236 2022/09/15 22:34:31 - mmengine - INFO - Epoch(train) [1][31600/31614] lr: 3.0000e-04 eta: 1 day, 4:24:37 time: 0.7646 data_time: 0.0124 memory: 9298 loss_ce: 0.0257 loss: 0.0257 2022/09/15 22:34:42 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 22:34:42 - mmengine - INFO - Saving checkpoint at 1 epochs 2022/09/15 22:38:00 - mmengine - INFO - Epoch(val) [1][100/1918] eta: 0:04:56 time: 0.1631 data_time: 0.0008 memory: 9298 2022/09/15 22:38:16 - mmengine - INFO - Epoch(val) [1][200/1918] eta: 0:04:34 time: 0.1598 data_time: 0.0007 memory: 230 2022/09/15 22:38:32 - mmengine - INFO - Epoch(val) [1][300/1918] eta: 0:04:20 time: 0.1608 data_time: 0.0008 memory: 230 2022/09/15 22:38:49 - mmengine - INFO - Epoch(val) [1][400/1918] eta: 0:04:04 time: 0.1614 data_time: 0.0022 memory: 230 2022/09/15 22:39:05 - mmengine - INFO - Epoch(val) [1][500/1918] eta: 0:03:48 time: 0.1609 data_time: 0.0007 memory: 230 2022/09/15 22:39:21 - mmengine - INFO - Epoch(val) [1][600/1918] eta: 0:03:31 time: 0.1605 data_time: 0.0007 memory: 230 2022/09/15 22:39:37 - mmengine - INFO - Epoch(val) [1][700/1918] eta: 0:03:30 time: 0.1725 data_time: 0.0081 memory: 230 2022/09/15 22:39:53 - mmengine - INFO - Epoch(val) [1][800/1918] eta: 0:02:57 time: 0.1592 data_time: 0.0007 memory: 230 2022/09/15 22:40:09 - mmengine - INFO - Epoch(val) [1][900/1918] eta: 0:02:47 time: 0.1644 data_time: 0.0007 memory: 230 2022/09/15 22:40:26 - mmengine - INFO - Epoch(val) [1][1000/1918] eta: 0:02:29 time: 0.1624 data_time: 0.0007 memory: 230 2022/09/15 22:40:42 - mmengine - INFO - Epoch(val) [1][1100/1918] eta: 0:02:11 time: 0.1604 data_time: 0.0007 memory: 230 2022/09/15 22:40:58 - mmengine - INFO - Epoch(val) [1][1200/1918] eta: 0:02:02 time: 0.1704 data_time: 0.0024 memory: 230 2022/09/15 22:41:14 - mmengine - INFO - Epoch(val) [1][1300/1918] eta: 0:01:36 time: 0.1569 data_time: 0.0007 memory: 230 2022/09/15 22:41:30 - mmengine - INFO - Epoch(val) [1][1400/1918] eta: 0:01:22 time: 0.1594 data_time: 0.0007 memory: 230 2022/09/15 22:41:46 - mmengine - INFO - Epoch(val) [1][1500/1918] eta: 0:01:06 time: 0.1597 data_time: 0.0007 memory: 230 2022/09/15 22:42:02 - mmengine - INFO - Epoch(val) [1][1600/1918] eta: 0:00:50 time: 0.1601 data_time: 0.0007 memory: 230 2022/09/15 22:42:18 - mmengine - INFO - Epoch(val) [1][1700/1918] eta: 0:00:37 time: 0.1738 data_time: 0.0032 memory: 230 2022/09/15 22:42:34 - mmengine - INFO - Epoch(val) [1][1800/1918] eta: 0:00:18 time: 0.1579 data_time: 0.0007 memory: 230 2022/09/15 22:42:50 - mmengine - INFO - Epoch(val) [1][1900/1918] eta: 0:00:02 time: 0.1572 data_time: 0.0007 memory: 230 2022/09/15 22:42:53 - mmengine - INFO - Epoch(val) [1][1918/1918] CUTE80/recog/word_acc_ignore_case_symbol: 0.7639 IIIT5K/recog/word_acc_ignore_case_symbol: 0.9223 SVT/recog/word_acc_ignore_case_symbol: 0.8779 SVTP/recog/word_acc_ignore_case_symbol: 0.8000 IC13/recog/word_acc_ignore_case_symbol: 0.9251 IC15/recog/word_acc_ignore_case_symbol: 0.7236 2022/09/15 22:44:16 - mmengine - INFO - Epoch(train) [2][100/31614] lr: 3.0000e-04 eta: 1 day, 4:22:57 time: 0.8259 data_time: 0.0481 memory: 9311 loss_ce: 0.0229 loss: 0.0229 2022/09/15 22:45:33 - mmengine - INFO - Epoch(train) [2][200/31614] lr: 3.0000e-04 eta: 1 day, 4:21:24 time: 0.8141 data_time: 0.0712 memory: 9310 loss_ce: 0.0214 loss: 0.0214 2022/09/15 22:46:52 - mmengine - INFO - Epoch(train) [2][300/31614] lr: 3.0000e-04 eta: 1 day, 4:19:53 time: 0.7523 data_time: 0.0110 memory: 9310 loss_ce: 0.0197 loss: 0.0197 2022/09/15 22:48:00 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 22:48:10 - mmengine - INFO - Epoch(train) [2][400/31614] lr: 3.0000e-04 eta: 1 day, 4:18:22 time: 0.7546 data_time: 0.0146 memory: 9310 loss_ce: 0.0214 loss: 0.0214 2022/09/15 22:49:28 - mmengine - INFO - Epoch(train) [2][500/31614] lr: 3.0000e-04 eta: 1 day, 4:16:49 time: 0.7538 data_time: 0.0054 memory: 9310 loss_ce: 0.0222 loss: 0.0222 2022/09/15 22:50:45 - mmengine - INFO - Epoch(train) [2][600/31614] lr: 3.0000e-04 eta: 1 day, 4:15:12 time: 0.7649 data_time: 0.0047 memory: 9310 loss_ce: 0.0209 loss: 0.0209 2022/09/15 22:52:02 - mmengine - INFO - Epoch(train) [2][700/31614] lr: 3.0000e-04 eta: 1 day, 4:13:39 time: 0.7832 data_time: 0.0418 memory: 9310 loss_ce: 0.0210 loss: 0.0210 2022/09/15 22:53:21 - mmengine - INFO - Epoch(train) [2][800/31614] lr: 3.0000e-04 eta: 1 day, 4:12:09 time: 0.8508 data_time: 0.0435 memory: 9310 loss_ce: 0.0233 loss: 0.0233 2022/09/15 22:54:37 - mmengine - INFO - Epoch(train) [2][900/31614] lr: 3.0000e-04 eta: 1 day, 4:10:33 time: 0.7872 data_time: 0.0106 memory: 9310 loss_ce: 0.0243 loss: 0.0243 2022/09/15 22:55:54 - mmengine - INFO - Epoch(train) [2][1000/31614] lr: 3.0000e-04 eta: 1 day, 4:08:56 time: 0.7521 data_time: 0.0140 memory: 9310 loss_ce: 0.0238 loss: 0.0238 2022/09/15 22:57:12 - mmengine - INFO - Epoch(train) [2][1100/31614] lr: 3.0000e-04 eta: 1 day, 4:07:23 time: 0.7289 data_time: 0.0049 memory: 9310 loss_ce: 0.0159 loss: 0.0159 2022/09/15 22:58:30 - mmengine - INFO - Epoch(train) [2][1200/31614] lr: 3.0000e-04 eta: 1 day, 4:05:53 time: 0.7583 data_time: 0.0047 memory: 9310 loss_ce: 0.0252 loss: 0.0252 2022/09/15 22:59:49 - mmengine - INFO - Epoch(train) [2][1300/31614] lr: 3.0000e-04 eta: 1 day, 4:04:25 time: 0.7963 data_time: 0.0418 memory: 9310 loss_ce: 0.0233 loss: 0.0233 2022/09/15 23:00:56 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 23:01:06 - mmengine - INFO - Epoch(train) [2][1400/31614] lr: 3.0000e-04 eta: 1 day, 4:02:48 time: 0.7070 data_time: 0.0413 memory: 9310 loss_ce: 0.0267 loss: 0.0267 2022/09/15 23:02:23 - mmengine - INFO - Epoch(train) [2][1500/31614] lr: 3.0000e-04 eta: 1 day, 4:01:16 time: 0.7900 data_time: 0.0444 memory: 9310 loss_ce: 0.0226 loss: 0.0226 2022/09/15 23:03:40 - mmengine - INFO - Epoch(train) [2][1600/31614] lr: 3.0000e-04 eta: 1 day, 3:59:41 time: 0.7528 data_time: 0.0258 memory: 9310 loss_ce: 0.0258 loss: 0.0258 2022/09/15 23:04:58 - mmengine - INFO - Epoch(train) [2][1700/31614] lr: 3.0000e-04 eta: 1 day, 3:58:11 time: 0.7872 data_time: 0.0108 memory: 9310 loss_ce: 0.0233 loss: 0.0233 2022/09/15 23:06:16 - mmengine - INFO - Epoch(train) [2][1800/31614] lr: 3.0000e-04 eta: 1 day, 3:56:39 time: 0.7603 data_time: 0.0071 memory: 9310 loss_ce: 0.0227 loss: 0.0227 2022/09/15 23:07:34 - mmengine - INFO - Epoch(train) [2][1900/31614] lr: 3.0000e-04 eta: 1 day, 3:55:08 time: 0.7829 data_time: 0.0400 memory: 9310 loss_ce: 0.0251 loss: 0.0251 2022/09/15 23:08:51 - mmengine - INFO - Epoch(train) [2][2000/31614] lr: 3.0000e-04 eta: 1 day, 3:53:35 time: 0.8408 data_time: 0.0809 memory: 9310 loss_ce: 0.0276 loss: 0.0276 2022/09/15 23:10:09 - mmengine - INFO - Epoch(train) [2][2100/31614] lr: 3.0000e-04 eta: 1 day, 3:52:02 time: 0.7928 data_time: 0.0111 memory: 9310 loss_ce: 0.0242 loss: 0.0242 2022/09/15 23:11:26 - mmengine - INFO - Epoch(train) [2][2200/31614] lr: 3.0000e-04 eta: 1 day, 3:50:28 time: 0.7249 data_time: 0.0175 memory: 9310 loss_ce: 0.0235 loss: 0.0235 2022/09/15 23:12:44 - mmengine - INFO - Epoch(train) [2][2300/31614] lr: 3.0000e-04 eta: 1 day, 3:48:58 time: 0.7509 data_time: 0.0108 memory: 9310 loss_ce: 0.0255 loss: 0.0255 2022/09/15 23:13:50 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 23:14:00 - mmengine - INFO - Epoch(train) [2][2400/31614] lr: 3.0000e-04 eta: 1 day, 3:47:22 time: 0.7899 data_time: 0.0127 memory: 9310 loss_ce: 0.0195 loss: 0.0195 2022/09/15 23:15:18 - mmengine - INFO - Epoch(train) [2][2500/31614] lr: 3.0000e-04 eta: 1 day, 3:45:50 time: 0.8174 data_time: 0.0447 memory: 9310 loss_ce: 0.0200 loss: 0.0200 2022/09/15 23:16:36 - mmengine - INFO - Epoch(train) [2][2600/31614] lr: 3.0000e-04 eta: 1 day, 3:44:19 time: 0.8654 data_time: 0.0613 memory: 9310 loss_ce: 0.0223 loss: 0.0223 2022/09/15 23:17:54 - mmengine - INFO - Epoch(train) [2][2700/31614] lr: 3.0000e-04 eta: 1 day, 3:42:50 time: 0.7640 data_time: 0.0098 memory: 9310 loss_ce: 0.0225 loss: 0.0225 2022/09/15 23:19:12 - mmengine - INFO - Epoch(train) [2][2800/31614] lr: 3.0000e-04 eta: 1 day, 3:41:19 time: 0.7227 data_time: 0.0168 memory: 9310 loss_ce: 0.0183 loss: 0.0183 2022/09/15 23:20:29 - mmengine - INFO - Epoch(train) [2][2900/31614] lr: 3.0000e-04 eta: 1 day, 3:39:47 time: 0.7555 data_time: 0.0111 memory: 9310 loss_ce: 0.0228 loss: 0.0228 2022/09/15 23:21:47 - mmengine - INFO - Epoch(train) [2][3000/31614] lr: 3.0000e-04 eta: 1 day, 3:38:15 time: 0.7694 data_time: 0.0089 memory: 9310 loss_ce: 0.0267 loss: 0.0267 2022/09/15 23:23:05 - mmengine - INFO - Epoch(train) [2][3100/31614] lr: 3.0000e-04 eta: 1 day, 3:36:45 time: 0.7902 data_time: 0.0403 memory: 9310 loss_ce: 0.0304 loss: 0.0304 2022/09/15 23:24:21 - mmengine - INFO - Epoch(train) [2][3200/31614] lr: 3.0000e-04 eta: 1 day, 3:35:10 time: 0.7871 data_time: 0.0419 memory: 9310 loss_ce: 0.0232 loss: 0.0232 2022/09/15 23:25:38 - mmengine - INFO - Epoch(train) [2][3300/31614] lr: 3.0000e-04 eta: 1 day, 3:33:38 time: 0.7207 data_time: 0.0085 memory: 9310 loss_ce: 0.0231 loss: 0.0231 2022/09/15 23:26:46 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 23:26:56 - mmengine - INFO - Epoch(train) [2][3400/31614] lr: 3.0000e-04 eta: 1 day, 3:32:07 time: 0.7502 data_time: 0.0246 memory: 9310 loss_ce: 0.0236 loss: 0.0236 2022/09/15 23:28:14 - mmengine - INFO - Epoch(train) [2][3500/31614] lr: 3.0000e-04 eta: 1 day, 3:30:36 time: 0.7530 data_time: 0.0092 memory: 9310 loss_ce: 0.0221 loss: 0.0221 2022/09/15 23:29:31 - mmengine - INFO - Epoch(train) [2][3600/31614] lr: 3.0000e-04 eta: 1 day, 3:29:06 time: 0.7641 data_time: 0.0103 memory: 9310 loss_ce: 0.0224 loss: 0.0224 2022/09/15 23:30:49 - mmengine - INFO - Epoch(train) [2][3700/31614] lr: 3.0000e-04 eta: 1 day, 3:27:35 time: 0.8202 data_time: 0.0690 memory: 9310 loss_ce: 0.0231 loss: 0.0231 2022/09/15 23:32:07 - mmengine - INFO - Epoch(train) [2][3800/31614] lr: 3.0000e-04 eta: 1 day, 3:26:07 time: 0.7840 data_time: 0.0401 memory: 9310 loss_ce: 0.0200 loss: 0.0200 2022/09/15 23:33:26 - mmengine - INFO - Epoch(train) [2][3900/31614] lr: 3.0000e-04 eta: 1 day, 3:24:38 time: 0.7664 data_time: 0.0109 memory: 9310 loss_ce: 0.0222 loss: 0.0222 2022/09/15 23:34:43 - mmengine - INFO - Epoch(train) [2][4000/31614] lr: 3.0000e-04 eta: 1 day, 3:23:08 time: 0.7780 data_time: 0.0476 memory: 9310 loss_ce: 0.0269 loss: 0.0269 2022/09/15 23:36:01 - mmengine - INFO - Epoch(train) [2][4100/31614] lr: 3.0000e-04 eta: 1 day, 3:21:37 time: 0.7564 data_time: 0.0100 memory: 9310 loss_ce: 0.0225 loss: 0.0225 2022/09/15 23:37:18 - mmengine - INFO - Epoch(train) [2][4200/31614] lr: 3.0000e-04 eta: 1 day, 3:20:05 time: 0.7286 data_time: 0.0089 memory: 9310 loss_ce: 0.0220 loss: 0.0220 2022/09/15 23:38:36 - mmengine - INFO - Epoch(train) [2][4300/31614] lr: 3.0000e-04 eta: 1 day, 3:18:35 time: 0.8130 data_time: 0.0679 memory: 9310 loss_ce: 0.0251 loss: 0.0251 2022/09/15 23:39:42 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 23:39:54 - mmengine - INFO - Epoch(train) [2][4400/31614] lr: 3.0000e-04 eta: 1 day, 3:17:06 time: 0.8422 data_time: 0.0742 memory: 9310 loss_ce: 0.0236 loss: 0.0236 2022/09/15 23:41:12 - mmengine - INFO - Epoch(train) [2][4500/31614] lr: 3.0000e-04 eta: 1 day, 3:15:38 time: 0.7533 data_time: 0.0108 memory: 9310 loss_ce: 0.0240 loss: 0.0240 2022/09/15 23:42:30 - mmengine - INFO - Epoch(train) [2][4600/31614] lr: 3.0000e-04 eta: 1 day, 3:14:11 time: 0.7705 data_time: 0.0181 memory: 9310 loss_ce: 0.0240 loss: 0.0240 2022/09/15 23:43:50 - mmengine - INFO - Epoch(train) [2][4700/31614] lr: 3.0000e-04 eta: 1 day, 3:12:47 time: 0.7556 data_time: 0.0112 memory: 9310 loss_ce: 0.0193 loss: 0.0193 2022/09/15 23:45:07 - mmengine - INFO - Epoch(train) [2][4800/31614] lr: 3.0000e-04 eta: 1 day, 3:11:17 time: 0.7691 data_time: 0.0090 memory: 9310 loss_ce: 0.0208 loss: 0.0208 2022/09/15 23:46:27 - mmengine - INFO - Epoch(train) [2][4900/31614] lr: 3.0000e-04 eta: 1 day, 3:09:54 time: 0.8019 data_time: 0.0669 memory: 9310 loss_ce: 0.0248 loss: 0.0248 2022/09/15 23:47:46 - mmengine - INFO - Epoch(train) [2][5000/31614] lr: 3.0000e-04 eta: 1 day, 3:08:29 time: 0.8472 data_time: 0.0707 memory: 9310 loss_ce: 0.0210 loss: 0.0210 2022/09/15 23:49:04 - mmengine - INFO - Epoch(train) [2][5100/31614] lr: 3.0000e-04 eta: 1 day, 3:06:58 time: 0.7628 data_time: 0.0109 memory: 9310 loss_ce: 0.0214 loss: 0.0214 2022/09/15 23:50:21 - mmengine - INFO - Epoch(train) [2][5200/31614] lr: 3.0000e-04 eta: 1 day, 3:05:26 time: 0.7505 data_time: 0.0177 memory: 9310 loss_ce: 0.0226 loss: 0.0226 2022/09/15 23:51:39 - mmengine - INFO - Epoch(train) [2][5300/31614] lr: 3.0000e-04 eta: 1 day, 3:03:58 time: 0.7216 data_time: 0.0105 memory: 9310 loss_ce: 0.0209 loss: 0.0209 2022/09/15 23:52:45 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/15 23:52:56 - mmengine - INFO - Epoch(train) [2][5400/31614] lr: 3.0000e-04 eta: 1 day, 3:02:28 time: 0.7862 data_time: 0.0184 memory: 9310 loss_ce: 0.0218 loss: 0.0218 2022/09/15 23:54:14 - mmengine - INFO - Epoch(train) [2][5500/31614] lr: 3.0000e-04 eta: 1 day, 3:00:58 time: 0.8165 data_time: 0.0352 memory: 9310 loss_ce: 0.0254 loss: 0.0254 2022/09/15 23:55:31 - mmengine - INFO - Epoch(train) [2][5600/31614] lr: 3.0000e-04 eta: 1 day, 2:59:27 time: 0.8179 data_time: 0.0640 memory: 9310 loss_ce: 0.0237 loss: 0.0237 2022/09/15 23:56:48 - mmengine - INFO - Epoch(train) [2][5700/31614] lr: 3.0000e-04 eta: 1 day, 2:57:57 time: 0.7644 data_time: 0.0111 memory: 9310 loss_ce: 0.0243 loss: 0.0243 2022/09/15 23:58:08 - mmengine - INFO - Epoch(train) [2][5800/31614] lr: 3.0000e-04 eta: 1 day, 2:56:34 time: 0.7958 data_time: 0.0216 memory: 9310 loss_ce: 0.0212 loss: 0.0212 2022/09/15 23:59:24 - mmengine - INFO - Epoch(train) [2][5900/31614] lr: 3.0000e-04 eta: 1 day, 2:55:02 time: 0.7307 data_time: 0.0114 memory: 9310 loss_ce: 0.0209 loss: 0.0209 2022/09/16 00:00:46 - mmengine - INFO - Epoch(train) [2][6000/31614] lr: 3.0000e-04 eta: 1 day, 2:53:45 time: 0.7779 data_time: 0.0108 memory: 9310 loss_ce: 0.0222 loss: 0.0222 2022/09/16 00:02:04 - mmengine - INFO - Epoch(train) [2][6100/31614] lr: 3.0000e-04 eta: 1 day, 2:52:17 time: 0.7826 data_time: 0.0372 memory: 9310 loss_ce: 0.0200 loss: 0.0200 2022/09/16 00:03:21 - mmengine - INFO - Epoch(train) [2][6200/31614] lr: 3.0000e-04 eta: 1 day, 2:50:46 time: 0.8124 data_time: 0.0670 memory: 9310 loss_ce: 0.0194 loss: 0.0194 2022/09/16 00:04:38 - mmengine - INFO - Epoch(train) [2][6300/31614] lr: 3.0000e-04 eta: 1 day, 2:49:14 time: 0.7242 data_time: 0.0107 memory: 9310 loss_ce: 0.0209 loss: 0.0209 2022/09/16 00:05:47 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 00:05:57 - mmengine - INFO - Epoch(train) [2][6400/31614] lr: 3.0000e-04 eta: 1 day, 2:47:50 time: 0.7322 data_time: 0.0164 memory: 9310 loss_ce: 0.0205 loss: 0.0205 2022/09/16 00:07:15 - mmengine - INFO - Epoch(train) [2][6500/31614] lr: 3.0000e-04 eta: 1 day, 2:46:22 time: 0.7628 data_time: 0.0087 memory: 9310 loss_ce: 0.0191 loss: 0.0191 2022/09/16 00:08:32 - mmengine - INFO - Epoch(train) [2][6600/31614] lr: 3.0000e-04 eta: 1 day, 2:44:51 time: 0.7229 data_time: 0.0110 memory: 9310 loss_ce: 0.0253 loss: 0.0253 2022/09/16 00:09:50 - mmengine - INFO - Epoch(train) [2][6700/31614] lr: 3.0000e-04 eta: 1 day, 2:43:22 time: 0.8256 data_time: 0.0463 memory: 9310 loss_ce: 0.0230 loss: 0.0230 2022/09/16 00:11:08 - mmengine - INFO - Epoch(train) [2][6800/31614] lr: 3.0000e-04 eta: 1 day, 2:41:57 time: 0.7733 data_time: 0.0394 memory: 9310 loss_ce: 0.0223 loss: 0.0223 2022/09/16 00:12:27 - mmengine - INFO - Epoch(train) [2][6900/31614] lr: 3.0000e-04 eta: 1 day, 2:40:30 time: 0.7529 data_time: 0.0085 memory: 9310 loss_ce: 0.0245 loss: 0.0245 2022/09/16 00:13:44 - mmengine - INFO - Epoch(train) [2][7000/31614] lr: 3.0000e-04 eta: 1 day, 2:39:02 time: 0.7534 data_time: 0.0202 memory: 9310 loss_ce: 0.0190 loss: 0.0190 2022/09/16 00:15:03 - mmengine - INFO - Epoch(train) [2][7100/31614] lr: 3.0000e-04 eta: 1 day, 2:37:35 time: 0.7640 data_time: 0.0144 memory: 9310 loss_ce: 0.0217 loss: 0.0217 2022/09/16 00:16:21 - mmengine - INFO - Epoch(train) [2][7200/31614] lr: 3.0000e-04 eta: 1 day, 2:36:08 time: 0.7865 data_time: 0.0124 memory: 9310 loss_ce: 0.0209 loss: 0.0209 2022/09/16 00:17:38 - mmengine - INFO - Epoch(train) [2][7300/31614] lr: 3.0000e-04 eta: 1 day, 2:34:39 time: 0.7482 data_time: 0.0398 memory: 9310 loss_ce: 0.0239 loss: 0.0239 2022/09/16 00:18:45 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 00:18:56 - mmengine - INFO - Epoch(train) [2][7400/31614] lr: 3.0000e-04 eta: 1 day, 2:33:13 time: 0.8669 data_time: 0.0368 memory: 9310 loss_ce: 0.0206 loss: 0.0206 2022/09/16 00:20:14 - mmengine - INFO - Epoch(train) [2][7500/31614] lr: 3.0000e-04 eta: 1 day, 2:31:44 time: 0.6998 data_time: 0.0087 memory: 9310 loss_ce: 0.0188 loss: 0.0188 2022/09/16 00:21:32 - mmengine - INFO - Epoch(train) [2][7600/31614] lr: 3.0000e-04 eta: 1 day, 2:30:15 time: 0.7450 data_time: 0.0211 memory: 9310 loss_ce: 0.0246 loss: 0.0246 2022/09/16 00:22:49 - mmengine - INFO - Epoch(train) [2][7700/31614] lr: 3.0000e-04 eta: 1 day, 2:28:48 time: 0.7542 data_time: 0.0103 memory: 9310 loss_ce: 0.0229 loss: 0.0229 2022/09/16 00:24:08 - mmengine - INFO - Epoch(train) [2][7800/31614] lr: 3.0000e-04 eta: 1 day, 2:27:21 time: 0.7480 data_time: 0.0137 memory: 9310 loss_ce: 0.0208 loss: 0.0208 2022/09/16 00:25:26 - mmengine - INFO - Epoch(train) [2][7900/31614] lr: 3.0000e-04 eta: 1 day, 2:25:54 time: 0.8260 data_time: 0.0373 memory: 9310 loss_ce: 0.0244 loss: 0.0244 2022/09/16 00:26:44 - mmengine - INFO - Epoch(train) [2][8000/31614] lr: 3.0000e-04 eta: 1 day, 2:24:29 time: 0.8203 data_time: 0.0374 memory: 9310 loss_ce: 0.0244 loss: 0.0244 2022/09/16 00:28:01 - mmengine - INFO - Epoch(train) [2][8100/31614] lr: 3.0000e-04 eta: 1 day, 2:22:59 time: 0.7493 data_time: 0.0087 memory: 9310 loss_ce: 0.0235 loss: 0.0235 2022/09/16 00:29:19 - mmengine - INFO - Epoch(train) [2][8200/31614] lr: 3.0000e-04 eta: 1 day, 2:21:31 time: 0.7780 data_time: 0.0196 memory: 9310 loss_ce: 0.0225 loss: 0.0225 2022/09/16 00:30:36 - mmengine - INFO - Epoch(train) [2][8300/31614] lr: 3.0000e-04 eta: 1 day, 2:20:01 time: 0.7794 data_time: 0.0129 memory: 9310 loss_ce: 0.0223 loss: 0.0223 2022/09/16 00:31:43 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 00:31:54 - mmengine - INFO - Epoch(train) [2][8400/31614] lr: 3.0000e-04 eta: 1 day, 2:18:34 time: 0.7331 data_time: 0.0098 memory: 9310 loss_ce: 0.0258 loss: 0.0258 2022/09/16 00:33:14 - mmengine - INFO - Epoch(train) [2][8500/31614] lr: 3.0000e-04 eta: 1 day, 2:17:12 time: 0.8015 data_time: 0.0460 memory: 9310 loss_ce: 0.0209 loss: 0.0209 2022/09/16 00:34:32 - mmengine - INFO - Epoch(train) [2][8600/31614] lr: 3.0000e-04 eta: 1 day, 2:15:48 time: 0.8362 data_time: 0.0722 memory: 9310 loss_ce: 0.0272 loss: 0.0272 2022/09/16 00:35:51 - mmengine - INFO - Epoch(train) [2][8700/31614] lr: 3.0000e-04 eta: 1 day, 2:14:22 time: 0.7561 data_time: 0.0105 memory: 9310 loss_ce: 0.0178 loss: 0.0178 2022/09/16 00:37:09 - mmengine - INFO - Epoch(train) [2][8800/31614] lr: 3.0000e-04 eta: 1 day, 2:12:55 time: 0.7650 data_time: 0.0152 memory: 9310 loss_ce: 0.0230 loss: 0.0230 2022/09/16 00:38:27 - mmengine - INFO - Epoch(train) [2][8900/31614] lr: 3.0000e-04 eta: 1 day, 2:11:29 time: 0.7667 data_time: 0.0110 memory: 9310 loss_ce: 0.0218 loss: 0.0218 2022/09/16 00:39:44 - mmengine - INFO - Epoch(train) [2][9000/31614] lr: 3.0000e-04 eta: 1 day, 2:10:00 time: 0.7002 data_time: 0.0088 memory: 9310 loss_ce: 0.0221 loss: 0.0221 2022/09/16 00:41:05 - mmengine - INFO - Epoch(train) [2][9100/31614] lr: 3.0000e-04 eta: 1 day, 2:08:42 time: 0.8045 data_time: 0.0655 memory: 9310 loss_ce: 0.0253 loss: 0.0253 2022/09/16 00:42:24 - mmengine - INFO - Epoch(train) [2][9200/31614] lr: 3.0000e-04 eta: 1 day, 2:07:17 time: 0.8461 data_time: 0.0702 memory: 9310 loss_ce: 0.0212 loss: 0.0212 2022/09/16 00:43:42 - mmengine - INFO - Epoch(train) [2][9300/31614] lr: 3.0000e-04 eta: 1 day, 2:05:51 time: 0.7508 data_time: 0.0118 memory: 9310 loss_ce: 0.0196 loss: 0.0196 2022/09/16 00:44:50 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 00:45:01 - mmengine - INFO - Epoch(train) [2][9400/31614] lr: 3.0000e-04 eta: 1 day, 2:04:27 time: 0.7509 data_time: 0.0199 memory: 9310 loss_ce: 0.0287 loss: 0.0287 2022/09/16 00:46:19 - mmengine - INFO - Epoch(train) [2][9500/31614] lr: 3.0000e-04 eta: 1 day, 2:03:02 time: 0.7554 data_time: 0.0110 memory: 9310 loss_ce: 0.0205 loss: 0.0205 2022/09/16 00:47:37 - mmengine - INFO - Epoch(train) [2][9600/31614] lr: 3.0000e-04 eta: 1 day, 2:01:34 time: 0.7677 data_time: 0.0108 memory: 9310 loss_ce: 0.0197 loss: 0.0197 2022/09/16 00:48:55 - mmengine - INFO - Epoch(train) [2][9700/31614] lr: 3.0000e-04 eta: 1 day, 2:00:09 time: 0.8482 data_time: 0.0676 memory: 9310 loss_ce: 0.0187 loss: 0.0187 2022/09/16 00:50:14 - mmengine - INFO - Epoch(train) [2][9800/31614] lr: 3.0000e-04 eta: 1 day, 1:58:44 time: 0.8174 data_time: 0.0386 memory: 9310 loss_ce: 0.0261 loss: 0.0261 2022/09/16 00:51:31 - mmengine - INFO - Epoch(train) [2][9900/31614] lr: 3.0000e-04 eta: 1 day, 1:57:17 time: 0.7687 data_time: 0.0115 memory: 9310 loss_ce: 0.0210 loss: 0.0210 2022/09/16 00:52:51 - mmengine - INFO - Epoch(train) [2][10000/31614] lr: 3.0000e-04 eta: 1 day, 1:55:54 time: 0.7840 data_time: 0.0260 memory: 9310 loss_ce: 0.0215 loss: 0.0215 2022/09/16 00:54:10 - mmengine - INFO - Epoch(train) [2][10100/31614] lr: 3.0000e-04 eta: 1 day, 1:54:31 time: 0.7510 data_time: 0.0095 memory: 9310 loss_ce: 0.0215 loss: 0.0215 2022/09/16 00:55:29 - mmengine - INFO - Epoch(train) [2][10200/31614] lr: 3.0000e-04 eta: 1 day, 1:53:08 time: 0.7670 data_time: 0.0097 memory: 9310 loss_ce: 0.0217 loss: 0.0217 2022/09/16 00:56:47 - mmengine - INFO - Epoch(train) [2][10300/31614] lr: 3.0000e-04 eta: 1 day, 1:51:43 time: 0.7269 data_time: 0.0390 memory: 9310 loss_ce: 0.0237 loss: 0.0237 2022/09/16 00:57:55 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 00:58:06 - mmengine - INFO - Epoch(train) [2][10400/31614] lr: 3.0000e-04 eta: 1 day, 1:50:20 time: 0.8084 data_time: 0.0377 memory: 9310 loss_ce: 0.0197 loss: 0.0197 2022/09/16 00:59:25 - mmengine - INFO - Epoch(train) [2][10500/31614] lr: 3.0000e-04 eta: 1 day, 1:48:56 time: 0.7657 data_time: 0.0111 memory: 9310 loss_ce: 0.0211 loss: 0.0211 2022/09/16 01:00:42 - mmengine - INFO - Epoch(train) [2][10600/31614] lr: 3.0000e-04 eta: 1 day, 1:47:26 time: 0.7887 data_time: 0.0176 memory: 9310 loss_ce: 0.0187 loss: 0.0187 2022/09/16 01:02:00 - mmengine - INFO - Epoch(train) [2][10700/31614] lr: 3.0000e-04 eta: 1 day, 1:46:00 time: 0.7534 data_time: 0.0069 memory: 9310 loss_ce: 0.0220 loss: 0.0220 2022/09/16 01:03:19 - mmengine - INFO - Epoch(train) [2][10800/31614] lr: 3.0000e-04 eta: 1 day, 1:44:36 time: 0.7779 data_time: 0.0099 memory: 9310 loss_ce: 0.0188 loss: 0.0188 2022/09/16 01:04:36 - mmengine - INFO - Epoch(train) [2][10900/31614] lr: 3.0000e-04 eta: 1 day, 1:43:10 time: 0.7813 data_time: 0.0395 memory: 9310 loss_ce: 0.0185 loss: 0.0185 2022/09/16 01:05:54 - mmengine - INFO - Epoch(train) [2][11000/31614] lr: 3.0000e-04 eta: 1 day, 1:41:43 time: 0.7817 data_time: 0.0399 memory: 9310 loss_ce: 0.0216 loss: 0.0216 2022/09/16 01:07:11 - mmengine - INFO - Epoch(train) [2][11100/31614] lr: 3.0000e-04 eta: 1 day, 1:40:15 time: 0.7597 data_time: 0.0128 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 01:08:28 - mmengine - INFO - Epoch(train) [2][11200/31614] lr: 3.0000e-04 eta: 1 day, 1:38:46 time: 0.7710 data_time: 0.0168 memory: 9310 loss_ce: 0.0260 loss: 0.0260 2022/09/16 01:09:45 - mmengine - INFO - Epoch(train) [2][11300/31614] lr: 3.0000e-04 eta: 1 day, 1:37:17 time: 0.7558 data_time: 0.0078 memory: 9310 loss_ce: 0.0207 loss: 0.0207 2022/09/16 01:10:53 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 01:11:03 - mmengine - INFO - Epoch(train) [2][11400/31614] lr: 3.0000e-04 eta: 1 day, 1:35:52 time: 0.7571 data_time: 0.0077 memory: 9310 loss_ce: 0.0178 loss: 0.0178 2022/09/16 01:12:22 - mmengine - INFO - Epoch(train) [2][11500/31614] lr: 3.0000e-04 eta: 1 day, 1:34:28 time: 0.7768 data_time: 0.0397 memory: 9310 loss_ce: 0.0217 loss: 0.0217 2022/09/16 01:13:40 - mmengine - INFO - Epoch(train) [2][11600/31614] lr: 3.0000e-04 eta: 1 day, 1:33:02 time: 0.7973 data_time: 0.0639 memory: 9310 loss_ce: 0.0200 loss: 0.0200 2022/09/16 01:14:58 - mmengine - INFO - Epoch(train) [2][11700/31614] lr: 3.0000e-04 eta: 1 day, 1:31:37 time: 0.7893 data_time: 0.0105 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 01:16:15 - mmengine - INFO - Epoch(train) [2][11800/31614] lr: 3.0000e-04 eta: 1 day, 1:30:10 time: 0.7514 data_time: 0.0156 memory: 9310 loss_ce: 0.0234 loss: 0.0234 2022/09/16 01:17:32 - mmengine - INFO - Epoch(train) [2][11900/31614] lr: 3.0000e-04 eta: 1 day, 1:28:42 time: 0.7559 data_time: 0.0066 memory: 9310 loss_ce: 0.0189 loss: 0.0189 2022/09/16 01:18:50 - mmengine - INFO - Epoch(train) [2][12000/31614] lr: 3.0000e-04 eta: 1 day, 1:27:14 time: 0.7824 data_time: 0.0074 memory: 9310 loss_ce: 0.0198 loss: 0.0198 2022/09/16 01:20:08 - mmengine - INFO - Epoch(train) [2][12100/31614] lr: 3.0000e-04 eta: 1 day, 1:25:49 time: 0.8372 data_time: 0.0713 memory: 9310 loss_ce: 0.0245 loss: 0.0245 2022/09/16 01:21:25 - mmengine - INFO - Epoch(train) [2][12200/31614] lr: 3.0000e-04 eta: 1 day, 1:24:22 time: 0.8435 data_time: 0.0683 memory: 9310 loss_ce: 0.0257 loss: 0.0257 2022/09/16 01:22:43 - mmengine - INFO - Epoch(train) [2][12300/31614] lr: 3.0000e-04 eta: 1 day, 1:22:55 time: 0.7176 data_time: 0.0131 memory: 9310 loss_ce: 0.0196 loss: 0.0196 2022/09/16 01:23:51 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 01:24:02 - mmengine - INFO - Epoch(train) [2][12400/31614] lr: 3.0000e-04 eta: 1 day, 1:21:33 time: 0.7513 data_time: 0.0154 memory: 9310 loss_ce: 0.0218 loss: 0.0218 2022/09/16 01:25:20 - mmengine - INFO - Epoch(train) [2][12500/31614] lr: 3.0000e-04 eta: 1 day, 1:20:07 time: 0.7526 data_time: 0.0089 memory: 9310 loss_ce: 0.0205 loss: 0.0205 2022/09/16 01:26:38 - mmengine - INFO - Epoch(train) [2][12600/31614] lr: 3.0000e-04 eta: 1 day, 1:18:42 time: 0.7544 data_time: 0.0073 memory: 9310 loss_ce: 0.0246 loss: 0.0246 2022/09/16 01:27:56 - mmengine - INFO - Epoch(train) [2][12700/31614] lr: 3.0000e-04 eta: 1 day, 1:17:18 time: 0.8035 data_time: 0.0384 memory: 9310 loss_ce: 0.0161 loss: 0.0161 2022/09/16 01:29:14 - mmengine - INFO - Epoch(train) [2][12800/31614] lr: 3.0000e-04 eta: 1 day, 1:15:53 time: 0.7824 data_time: 0.0423 memory: 9310 loss_ce: 0.0267 loss: 0.0267 2022/09/16 01:30:34 - mmengine - INFO - Epoch(train) [2][12900/31614] lr: 3.0000e-04 eta: 1 day, 1:14:31 time: 0.7782 data_time: 0.0407 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 01:31:52 - mmengine - INFO - Epoch(train) [2][13000/31614] lr: 3.0000e-04 eta: 1 day, 1:13:06 time: 0.7812 data_time: 0.0174 memory: 9310 loss_ce: 0.0228 loss: 0.0228 2022/09/16 01:33:10 - mmengine - INFO - Epoch(train) [2][13100/31614] lr: 3.0000e-04 eta: 1 day, 1:11:41 time: 0.7691 data_time: 0.0074 memory: 9310 loss_ce: 0.0191 loss: 0.0191 2022/09/16 01:34:27 - mmengine - INFO - Epoch(train) [2][13200/31614] lr: 3.0000e-04 eta: 1 day, 1:10:14 time: 0.7757 data_time: 0.0069 memory: 9310 loss_ce: 0.0224 loss: 0.0224 2022/09/16 01:35:45 - mmengine - INFO - Epoch(train) [2][13300/31614] lr: 3.0000e-04 eta: 1 day, 1:08:49 time: 0.8310 data_time: 0.0662 memory: 9310 loss_ce: 0.0202 loss: 0.0202 2022/09/16 01:36:53 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 01:37:05 - mmengine - INFO - Epoch(train) [2][13400/31614] lr: 3.0000e-04 eta: 1 day, 1:07:27 time: 0.7794 data_time: 0.0415 memory: 9310 loss_ce: 0.0191 loss: 0.0191 2022/09/16 01:38:20 - mmengine - INFO - Epoch(train) [2][13500/31614] lr: 3.0000e-04 eta: 1 day, 1:05:56 time: 0.7077 data_time: 0.0160 memory: 9310 loss_ce: 0.0192 loss: 0.0192 2022/09/16 01:39:38 - mmengine - INFO - Epoch(train) [2][13600/31614] lr: 3.0000e-04 eta: 1 day, 1:04:30 time: 0.7579 data_time: 0.0174 memory: 9310 loss_ce: 0.0234 loss: 0.0234 2022/09/16 01:40:54 - mmengine - INFO - Epoch(train) [2][13700/31614] lr: 3.0000e-04 eta: 1 day, 1:03:02 time: 0.8188 data_time: 0.0089 memory: 9310 loss_ce: 0.0238 loss: 0.0238 2022/09/16 01:42:11 - mmengine - INFO - Epoch(train) [2][13800/31614] lr: 3.0000e-04 eta: 1 day, 1:01:34 time: 0.6802 data_time: 0.0080 memory: 9310 loss_ce: 0.0222 loss: 0.0222 2022/09/16 01:43:28 - mmengine - INFO - Epoch(train) [2][13900/31614] lr: 3.0000e-04 eta: 1 day, 1:00:06 time: 0.7427 data_time: 0.0393 memory: 9310 loss_ce: 0.0239 loss: 0.0239 2022/09/16 01:44:45 - mmengine - INFO - Epoch(train) [2][14000/31614] lr: 3.0000e-04 eta: 1 day, 0:58:39 time: 0.8098 data_time: 0.0596 memory: 9310 loss_ce: 0.0209 loss: 0.0209 2022/09/16 01:46:05 - mmengine - INFO - Epoch(train) [2][14100/31614] lr: 3.0000e-04 eta: 1 day, 0:57:18 time: 0.7861 data_time: 0.0134 memory: 9310 loss_ce: 0.0173 loss: 0.0173 2022/09/16 01:47:21 - mmengine - INFO - Epoch(train) [2][14200/31614] lr: 3.0000e-04 eta: 1 day, 0:55:50 time: 0.7205 data_time: 0.0179 memory: 9310 loss_ce: 0.0229 loss: 0.0229 2022/09/16 01:48:39 - mmengine - INFO - Epoch(train) [2][14300/31614] lr: 3.0000e-04 eta: 1 day, 0:54:25 time: 0.7631 data_time: 0.0101 memory: 9310 loss_ce: 0.0251 loss: 0.0251 2022/09/16 01:49:46 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 01:49:56 - mmengine - INFO - Epoch(train) [2][14400/31614] lr: 3.0000e-04 eta: 1 day, 0:52:58 time: 0.7146 data_time: 0.0088 memory: 9310 loss_ce: 0.0199 loss: 0.0199 2022/09/16 01:51:16 - mmengine - INFO - Epoch(train) [2][14500/31614] lr: 3.0000e-04 eta: 1 day, 0:51:36 time: 0.7917 data_time: 0.0371 memory: 9310 loss_ce: 0.0219 loss: 0.0219 2022/09/16 01:52:32 - mmengine - INFO - Epoch(train) [2][14600/31614] lr: 3.0000e-04 eta: 1 day, 0:50:09 time: 0.7859 data_time: 0.0402 memory: 9310 loss_ce: 0.0223 loss: 0.0223 2022/09/16 01:53:49 - mmengine - INFO - Epoch(train) [2][14700/31614] lr: 3.0000e-04 eta: 1 day, 0:48:41 time: 0.6983 data_time: 0.0144 memory: 9310 loss_ce: 0.0217 loss: 0.0217 2022/09/16 01:55:07 - mmengine - INFO - Epoch(train) [2][14800/31614] lr: 3.0000e-04 eta: 1 day, 0:47:17 time: 0.7316 data_time: 0.0175 memory: 9310 loss_ce: 0.0183 loss: 0.0183 2022/09/16 01:56:26 - mmengine - INFO - Epoch(train) [2][14900/31614] lr: 3.0000e-04 eta: 1 day, 0:45:53 time: 0.7640 data_time: 0.0088 memory: 9310 loss_ce: 0.0220 loss: 0.0220 2022/09/16 01:57:43 - mmengine - INFO - Epoch(train) [2][15000/31614] lr: 3.0000e-04 eta: 1 day, 0:44:28 time: 0.7547 data_time: 0.0089 memory: 9310 loss_ce: 0.0207 loss: 0.0207 2022/09/16 01:59:01 - mmengine - INFO - Epoch(train) [2][15100/31614] lr: 3.0000e-04 eta: 1 day, 0:43:02 time: 0.8105 data_time: 0.0566 memory: 9310 loss_ce: 0.0174 loss: 0.0174 2022/09/16 02:00:20 - mmengine - INFO - Epoch(train) [2][15200/31614] lr: 3.0000e-04 eta: 1 day, 0:41:41 time: 0.9121 data_time: 0.0786 memory: 9310 loss_ce: 0.0232 loss: 0.0232 2022/09/16 02:01:38 - mmengine - INFO - Epoch(train) [2][15300/31614] lr: 3.0000e-04 eta: 1 day, 0:40:15 time: 0.7311 data_time: 0.0139 memory: 9310 loss_ce: 0.0180 loss: 0.0180 2022/09/16 02:02:45 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 02:02:55 - mmengine - INFO - Epoch(train) [2][15400/31614] lr: 3.0000e-04 eta: 1 day, 0:38:50 time: 0.7498 data_time: 0.0194 memory: 9310 loss_ce: 0.0211 loss: 0.0211 2022/09/16 02:04:14 - mmengine - INFO - Epoch(train) [2][15500/31614] lr: 3.0000e-04 eta: 1 day, 0:37:27 time: 0.7296 data_time: 0.0121 memory: 9310 loss_ce: 0.0214 loss: 0.0214 2022/09/16 02:05:30 - mmengine - INFO - Epoch(train) [2][15600/31614] lr: 3.0000e-04 eta: 1 day, 0:35:59 time: 0.7324 data_time: 0.0086 memory: 9310 loss_ce: 0.0236 loss: 0.0236 2022/09/16 02:06:49 - mmengine - INFO - Epoch(train) [2][15700/31614] lr: 3.0000e-04 eta: 1 day, 0:34:35 time: 0.8129 data_time: 0.0390 memory: 9310 loss_ce: 0.0214 loss: 0.0214 2022/09/16 02:08:07 - mmengine - INFO - Epoch(train) [2][15800/31614] lr: 3.0000e-04 eta: 1 day, 0:33:11 time: 0.7825 data_time: 0.0413 memory: 9310 loss_ce: 0.0183 loss: 0.0183 2022/09/16 02:09:23 - mmengine - INFO - Epoch(train) [2][15900/31614] lr: 3.0000e-04 eta: 1 day, 0:31:44 time: 0.7265 data_time: 0.0158 memory: 9310 loss_ce: 0.0209 loss: 0.0209 2022/09/16 02:10:42 - mmengine - INFO - Epoch(train) [2][16000/31614] lr: 3.0000e-04 eta: 1 day, 0:30:20 time: 0.7443 data_time: 0.0189 memory: 9310 loss_ce: 0.0199 loss: 0.0199 2022/09/16 02:11:59 - mmengine - INFO - Epoch(train) [2][16100/31614] lr: 3.0000e-04 eta: 1 day, 0:28:54 time: 0.7552 data_time: 0.0105 memory: 9310 loss_ce: 0.0217 loss: 0.0217 2022/09/16 02:13:16 - mmengine - INFO - Epoch(train) [2][16200/31614] lr: 3.0000e-04 eta: 1 day, 0:27:29 time: 0.7663 data_time: 0.0098 memory: 9310 loss_ce: 0.0169 loss: 0.0169 2022/09/16 02:14:35 - mmengine - INFO - Epoch(train) [2][16300/31614] lr: 3.0000e-04 eta: 1 day, 0:26:05 time: 0.7792 data_time: 0.0359 memory: 9310 loss_ce: 0.0220 loss: 0.0220 2022/09/16 02:15:40 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 02:15:51 - mmengine - INFO - Epoch(train) [2][16400/31614] lr: 3.0000e-04 eta: 1 day, 0:24:37 time: 0.7561 data_time: 0.0678 memory: 9310 loss_ce: 0.0189 loss: 0.0189 2022/09/16 02:17:09 - mmengine - INFO - Epoch(train) [2][16500/31614] lr: 3.0000e-04 eta: 1 day, 0:23:13 time: 0.6703 data_time: 0.0132 memory: 9310 loss_ce: 0.0207 loss: 0.0207 2022/09/16 02:18:29 - mmengine - INFO - Epoch(train) [2][16600/31614] lr: 3.0000e-04 eta: 1 day, 0:21:53 time: 0.7461 data_time: 0.0144 memory: 9310 loss_ce: 0.0197 loss: 0.0197 2022/09/16 02:19:46 - mmengine - INFO - Epoch(train) [2][16700/31614] lr: 3.0000e-04 eta: 1 day, 0:20:28 time: 0.7647 data_time: 0.0089 memory: 9310 loss_ce: 0.0149 loss: 0.0149 2022/09/16 02:21:05 - mmengine - INFO - Epoch(train) [2][16800/31614] lr: 3.0000e-04 eta: 1 day, 0:19:06 time: 0.8035 data_time: 0.0462 memory: 9310 loss_ce: 0.0200 loss: 0.0200 2022/09/16 02:22:22 - mmengine - INFO - Epoch(train) [2][16900/31614] lr: 3.0000e-04 eta: 1 day, 0:17:40 time: 0.7484 data_time: 0.0403 memory: 9310 loss_ce: 0.0216 loss: 0.0216 2022/09/16 02:23:40 - mmengine - INFO - Epoch(train) [2][17000/31614] lr: 3.0000e-04 eta: 1 day, 0:16:16 time: 0.7830 data_time: 0.0450 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 02:24:58 - mmengine - INFO - Epoch(train) [2][17100/31614] lr: 3.0000e-04 eta: 1 day, 0:14:51 time: 0.7528 data_time: 0.0140 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 02:26:17 - mmengine - INFO - Epoch(train) [2][17200/31614] lr: 3.0000e-04 eta: 1 day, 0:13:29 time: 0.7458 data_time: 0.0164 memory: 9310 loss_ce: 0.0203 loss: 0.0203 2022/09/16 02:27:33 - mmengine - INFO - Epoch(train) [2][17300/31614] lr: 3.0000e-04 eta: 1 day, 0:12:00 time: 0.7556 data_time: 0.0107 memory: 9310 loss_ce: 0.0167 loss: 0.0167 2022/09/16 02:28:40 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 02:28:50 - mmengine - INFO - Epoch(train) [2][17400/31614] lr: 3.0000e-04 eta: 1 day, 0:10:35 time: 0.7435 data_time: 0.0106 memory: 9310 loss_ce: 0.0174 loss: 0.0174 2022/09/16 02:30:08 - mmengine - INFO - Epoch(train) [2][17500/31614] lr: 3.0000e-04 eta: 1 day, 0:09:11 time: 0.8374 data_time: 0.0377 memory: 9310 loss_ce: 0.0253 loss: 0.0253 2022/09/16 02:31:25 - mmengine - INFO - Epoch(train) [2][17600/31614] lr: 3.0000e-04 eta: 1 day, 0:07:45 time: 0.8110 data_time: 0.0712 memory: 9310 loss_ce: 0.0185 loss: 0.0185 2022/09/16 02:32:42 - mmengine - INFO - Epoch(train) [2][17700/31614] lr: 3.0000e-04 eta: 1 day, 0:06:19 time: 0.7880 data_time: 0.0156 memory: 9310 loss_ce: 0.0245 loss: 0.0245 2022/09/16 02:34:01 - mmengine - INFO - Epoch(train) [2][17800/31614] lr: 3.0000e-04 eta: 1 day, 0:04:57 time: 0.7822 data_time: 0.0147 memory: 9310 loss_ce: 0.0221 loss: 0.0221 2022/09/16 02:35:19 - mmengine - INFO - Epoch(train) [2][17900/31614] lr: 3.0000e-04 eta: 1 day, 0:03:33 time: 0.7681 data_time: 0.0094 memory: 9310 loss_ce: 0.0179 loss: 0.0179 2022/09/16 02:36:37 - mmengine - INFO - Epoch(train) [2][18000/31614] lr: 3.0000e-04 eta: 1 day, 0:02:10 time: 0.7843 data_time: 0.0094 memory: 9310 loss_ce: 0.0235 loss: 0.0235 2022/09/16 02:37:54 - mmengine - INFO - Epoch(train) [2][18100/31614] lr: 3.0000e-04 eta: 1 day, 0:00:45 time: 0.7725 data_time: 0.0373 memory: 9310 loss_ce: 0.0181 loss: 0.0181 2022/09/16 02:39:11 - mmengine - INFO - Epoch(train) [2][18200/31614] lr: 3.0000e-04 eta: 23:59:19 time: 0.7963 data_time: 0.0435 memory: 9310 loss_ce: 0.0242 loss: 0.0242 2022/09/16 02:40:28 - mmengine - INFO - Epoch(train) [2][18300/31614] lr: 3.0000e-04 eta: 23:57:52 time: 0.7453 data_time: 0.0146 memory: 9310 loss_ce: 0.0158 loss: 0.0158 2022/09/16 02:41:35 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 02:41:45 - mmengine - INFO - Epoch(train) [2][18400/31614] lr: 3.0000e-04 eta: 23:56:27 time: 0.7164 data_time: 0.0153 memory: 9310 loss_ce: 0.0204 loss: 0.0204 2022/09/16 02:43:01 - mmengine - INFO - Epoch(train) [2][18500/31614] lr: 3.0000e-04 eta: 23:54:59 time: 0.7274 data_time: 0.0085 memory: 9310 loss_ce: 0.0253 loss: 0.0253 2022/09/16 02:44:20 - mmengine - INFO - Epoch(train) [2][18600/31614] lr: 3.0000e-04 eta: 23:53:37 time: 0.7658 data_time: 0.0088 memory: 9310 loss_ce: 0.0205 loss: 0.0205 2022/09/16 02:45:38 - mmengine - INFO - Epoch(train) [2][18700/31614] lr: 3.0000e-04 eta: 23:52:13 time: 0.7509 data_time: 0.0756 memory: 9310 loss_ce: 0.0241 loss: 0.0241 2022/09/16 02:46:56 - mmengine - INFO - Epoch(train) [2][18800/31614] lr: 3.0000e-04 eta: 23:50:50 time: 0.7829 data_time: 0.0731 memory: 9310 loss_ce: 0.0186 loss: 0.0186 2022/09/16 02:48:12 - mmengine - INFO - Epoch(train) [2][18900/31614] lr: 3.0000e-04 eta: 23:49:23 time: 0.7667 data_time: 0.0153 memory: 9310 loss_ce: 0.0233 loss: 0.0233 2022/09/16 02:49:30 - mmengine - INFO - Epoch(train) [2][19000/31614] lr: 3.0000e-04 eta: 23:47:58 time: 0.7528 data_time: 0.0145 memory: 9310 loss_ce: 0.0206 loss: 0.0206 2022/09/16 02:50:49 - mmengine - INFO - Epoch(train) [2][19100/31614] lr: 3.0000e-04 eta: 23:46:37 time: 0.7874 data_time: 0.0093 memory: 9310 loss_ce: 0.0177 loss: 0.0177 2022/09/16 02:52:07 - mmengine - INFO - Epoch(train) [2][19200/31614] lr: 3.0000e-04 eta: 23:45:15 time: 0.7255 data_time: 0.0096 memory: 9310 loss_ce: 0.0203 loss: 0.0203 2022/09/16 02:53:25 - mmengine - INFO - Epoch(train) [2][19300/31614] lr: 3.0000e-04 eta: 23:43:51 time: 0.7809 data_time: 0.0348 memory: 9310 loss_ce: 0.0230 loss: 0.0230 2022/09/16 02:54:32 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 02:54:43 - mmengine - INFO - Epoch(train) [2][19400/31614] lr: 3.0000e-04 eta: 23:42:26 time: 0.7806 data_time: 0.0447 memory: 9310 loss_ce: 0.0168 loss: 0.0168 2022/09/16 02:56:01 - mmengine - INFO - Epoch(train) [2][19500/31614] lr: 3.0000e-04 eta: 23:41:03 time: 0.7622 data_time: 0.0162 memory: 9310 loss_ce: 0.0193 loss: 0.0193 2022/09/16 02:57:19 - mmengine - INFO - Epoch(train) [2][19600/31614] lr: 3.0000e-04 eta: 23:39:40 time: 0.7145 data_time: 0.0161 memory: 9310 loss_ce: 0.0214 loss: 0.0214 2022/09/16 02:58:37 - mmengine - INFO - Epoch(train) [2][19700/31614] lr: 3.0000e-04 eta: 23:38:17 time: 0.7500 data_time: 0.0122 memory: 9310 loss_ce: 0.0191 loss: 0.0191 2022/09/16 02:59:54 - mmengine - INFO - Epoch(train) [2][19800/31614] lr: 3.0000e-04 eta: 23:36:51 time: 0.7370 data_time: 0.0095 memory: 9310 loss_ce: 0.0219 loss: 0.0219 2022/09/16 03:01:11 - mmengine - INFO - Epoch(train) [2][19900/31614] lr: 3.0000e-04 eta: 23:35:26 time: 0.8358 data_time: 0.0639 memory: 9310 loss_ce: 0.0178 loss: 0.0178 2022/09/16 03:02:30 - mmengine - INFO - Epoch(train) [2][20000/31614] lr: 3.0000e-04 eta: 23:34:05 time: 0.7974 data_time: 0.0437 memory: 9310 loss_ce: 0.0222 loss: 0.0222 2022/09/16 03:03:48 - mmengine - INFO - Epoch(train) [2][20100/31614] lr: 3.0000e-04 eta: 23:32:41 time: 0.7057 data_time: 0.0176 memory: 9310 loss_ce: 0.0173 loss: 0.0173 2022/09/16 03:05:05 - mmengine - INFO - Epoch(train) [2][20200/31614] lr: 3.0000e-04 eta: 23:31:18 time: 0.7231 data_time: 0.0138 memory: 9310 loss_ce: 0.0189 loss: 0.0189 2022/09/16 03:06:24 - mmengine - INFO - Epoch(train) [2][20300/31614] lr: 3.0000e-04 eta: 23:29:56 time: 0.7646 data_time: 0.0088 memory: 9310 loss_ce: 0.0185 loss: 0.0185 2022/09/16 03:07:32 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 03:07:42 - mmengine - INFO - Epoch(train) [2][20400/31614] lr: 3.0000e-04 eta: 23:28:33 time: 0.7608 data_time: 0.0116 memory: 9310 loss_ce: 0.0198 loss: 0.0198 2022/09/16 03:09:01 - mmengine - INFO - Epoch(train) [2][20500/31614] lr: 3.0000e-04 eta: 23:27:11 time: 0.7828 data_time: 0.0401 memory: 9310 loss_ce: 0.0180 loss: 0.0180 2022/09/16 03:10:18 - mmengine - INFO - Epoch(train) [2][20600/31614] lr: 3.0000e-04 eta: 23:25:45 time: 0.7792 data_time: 0.0726 memory: 9310 loss_ce: 0.0226 loss: 0.0226 2022/09/16 03:11:36 - mmengine - INFO - Epoch(train) [2][20700/31614] lr: 3.0000e-04 eta: 23:24:23 time: 0.7122 data_time: 0.0180 memory: 9310 loss_ce: 0.0241 loss: 0.0241 2022/09/16 03:12:55 - mmengine - INFO - Epoch(train) [2][20800/31614] lr: 3.0000e-04 eta: 23:23:02 time: 0.7759 data_time: 0.0124 memory: 9310 loss_ce: 0.0183 loss: 0.0183 2022/09/16 03:14:12 - mmengine - INFO - Epoch(train) [2][20900/31614] lr: 3.0000e-04 eta: 23:21:37 time: 0.7650 data_time: 0.0087 memory: 9310 loss_ce: 0.0207 loss: 0.0207 2022/09/16 03:15:30 - mmengine - INFO - Epoch(train) [2][21000/31614] lr: 3.0000e-04 eta: 23:20:14 time: 0.7834 data_time: 0.0094 memory: 9310 loss_ce: 0.0183 loss: 0.0183 2022/09/16 03:16:48 - mmengine - INFO - Epoch(train) [2][21100/31614] lr: 3.0000e-04 eta: 23:18:51 time: 0.7910 data_time: 0.0330 memory: 9310 loss_ce: 0.0183 loss: 0.0183 2022/09/16 03:18:07 - mmengine - INFO - Epoch(train) [2][21200/31614] lr: 3.0000e-04 eta: 23:17:30 time: 0.8096 data_time: 0.0455 memory: 9310 loss_ce: 0.0185 loss: 0.0185 2022/09/16 03:19:24 - mmengine - INFO - Epoch(train) [2][21300/31614] lr: 3.0000e-04 eta: 23:16:04 time: 0.8071 data_time: 0.0543 memory: 9310 loss_ce: 0.0183 loss: 0.0183 2022/09/16 03:20:30 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 03:20:40 - mmengine - INFO - Epoch(train) [2][21400/31614] lr: 3.0000e-04 eta: 23:14:39 time: 0.7217 data_time: 0.0129 memory: 9310 loss_ce: 0.0195 loss: 0.0195 2022/09/16 03:21:57 - mmengine - INFO - Epoch(train) [2][21500/31614] lr: 3.0000e-04 eta: 23:13:13 time: 0.7382 data_time: 0.0084 memory: 9310 loss_ce: 0.0219 loss: 0.0219 2022/09/16 03:23:15 - mmengine - INFO - Epoch(train) [2][21600/31614] lr: 3.0000e-04 eta: 23:11:49 time: 0.7541 data_time: 0.0099 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 03:24:34 - mmengine - INFO - Epoch(train) [2][21700/31614] lr: 3.0000e-04 eta: 23:10:29 time: 0.8376 data_time: 0.0332 memory: 9310 loss_ce: 0.0243 loss: 0.0243 2022/09/16 03:25:52 - mmengine - INFO - Epoch(train) [2][21800/31614] lr: 3.0000e-04 eta: 23:09:05 time: 0.8000 data_time: 0.0446 memory: 9310 loss_ce: 0.0209 loss: 0.0209 2022/09/16 03:27:10 - mmengine - INFO - Epoch(train) [2][21900/31614] lr: 3.0000e-04 eta: 23:07:44 time: 0.8061 data_time: 0.0199 memory: 9310 loss_ce: 0.0198 loss: 0.0198 2022/09/16 03:28:28 - mmengine - INFO - Epoch(train) [2][22000/31614] lr: 3.0000e-04 eta: 23:06:21 time: 0.7534 data_time: 0.0135 memory: 9310 loss_ce: 0.0196 loss: 0.0196 2022/09/16 03:29:47 - mmengine - INFO - Epoch(train) [2][22100/31614] lr: 3.0000e-04 eta: 23:04:58 time: 0.7590 data_time: 0.0086 memory: 9310 loss_ce: 0.0229 loss: 0.0229 2022/09/16 03:31:04 - mmengine - INFO - Epoch(train) [2][22200/31614] lr: 3.0000e-04 eta: 23:03:35 time: 0.7856 data_time: 0.0125 memory: 9310 loss_ce: 0.0194 loss: 0.0194 2022/09/16 03:32:24 - mmengine - INFO - Epoch(train) [2][22300/31614] lr: 3.0000e-04 eta: 23:02:15 time: 0.8487 data_time: 0.0764 memory: 9310 loss_ce: 0.0189 loss: 0.0189 2022/09/16 03:33:31 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 03:33:43 - mmengine - INFO - Epoch(train) [2][22400/31614] lr: 3.0000e-04 eta: 23:00:55 time: 0.8308 data_time: 0.0443 memory: 9310 loss_ce: 0.0165 loss: 0.0165 2022/09/16 03:35:01 - mmengine - INFO - Epoch(train) [2][22500/31614] lr: 3.0000e-04 eta: 22:59:31 time: 0.7644 data_time: 0.0177 memory: 9310 loss_ce: 0.0266 loss: 0.0266 2022/09/16 03:36:19 - mmengine - INFO - Epoch(train) [2][22600/31614] lr: 3.0000e-04 eta: 22:58:09 time: 0.7517 data_time: 0.0149 memory: 9310 loss_ce: 0.0161 loss: 0.0161 2022/09/16 03:37:37 - mmengine - INFO - Epoch(train) [2][22700/31614] lr: 3.0000e-04 eta: 22:56:46 time: 0.7873 data_time: 0.0107 memory: 9310 loss_ce: 0.0224 loss: 0.0224 2022/09/16 03:38:56 - mmengine - INFO - Epoch(train) [2][22800/31614] lr: 3.0000e-04 eta: 22:55:25 time: 0.7699 data_time: 0.0109 memory: 9310 loss_ce: 0.0220 loss: 0.0220 2022/09/16 03:40:13 - mmengine - INFO - Epoch(train) [2][22900/31614] lr: 3.0000e-04 eta: 22:54:01 time: 0.6877 data_time: 0.0315 memory: 9310 loss_ce: 0.0213 loss: 0.0213 2022/09/16 03:41:31 - mmengine - INFO - Epoch(train) [2][23000/31614] lr: 3.0000e-04 eta: 22:52:38 time: 0.7819 data_time: 0.0490 memory: 9310 loss_ce: 0.0188 loss: 0.0188 2022/09/16 03:42:49 - mmengine - INFO - Epoch(train) [2][23100/31614] lr: 3.0000e-04 eta: 22:51:15 time: 0.7541 data_time: 0.0171 memory: 9310 loss_ce: 0.0197 loss: 0.0197 2022/09/16 03:44:06 - mmengine - INFO - Epoch(train) [2][23200/31614] lr: 3.0000e-04 eta: 22:49:51 time: 0.7850 data_time: 0.0401 memory: 9310 loss_ce: 0.0183 loss: 0.0183 2022/09/16 03:45:22 - mmengine - INFO - Epoch(train) [2][23300/31614] lr: 3.0000e-04 eta: 22:48:25 time: 0.7095 data_time: 0.0155 memory: 9310 loss_ce: 0.0161 loss: 0.0161 2022/09/16 03:46:30 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 03:46:41 - mmengine - INFO - Epoch(train) [2][23400/31614] lr: 3.0000e-04 eta: 22:47:03 time: 0.7668 data_time: 0.0116 memory: 9310 loss_ce: 0.0188 loss: 0.0188 2022/09/16 03:47:58 - mmengine - INFO - Epoch(train) [2][23500/31614] lr: 3.0000e-04 eta: 22:45:40 time: 0.7834 data_time: 0.0332 memory: 9310 loss_ce: 0.0247 loss: 0.0247 2022/09/16 03:49:17 - mmengine - INFO - Epoch(train) [2][23600/31614] lr: 3.0000e-04 eta: 22:44:20 time: 0.7966 data_time: 0.0662 memory: 9310 loss_ce: 0.0166 loss: 0.0166 2022/09/16 03:50:34 - mmengine - INFO - Epoch(train) [2][23700/31614] lr: 3.0000e-04 eta: 22:42:54 time: 0.7480 data_time: 0.0174 memory: 9310 loss_ce: 0.0181 loss: 0.0181 2022/09/16 03:51:51 - mmengine - INFO - Epoch(train) [2][23800/31614] lr: 3.0000e-04 eta: 22:41:31 time: 0.7823 data_time: 0.0197 memory: 9310 loss_ce: 0.0185 loss: 0.0185 2022/09/16 03:53:08 - mmengine - INFO - Epoch(train) [2][23900/31614] lr: 3.0000e-04 eta: 22:40:05 time: 0.7507 data_time: 0.0138 memory: 9310 loss_ce: 0.0238 loss: 0.0238 2022/09/16 03:54:26 - mmengine - INFO - Epoch(train) [2][24000/31614] lr: 3.0000e-04 eta: 22:38:43 time: 0.7975 data_time: 0.0162 memory: 9310 loss_ce: 0.0147 loss: 0.0147 2022/09/16 03:55:44 - mmengine - INFO - Epoch(train) [2][24100/31614] lr: 3.0000e-04 eta: 22:37:20 time: 0.8359 data_time: 0.0312 memory: 9310 loss_ce: 0.0173 loss: 0.0173 2022/09/16 03:57:02 - mmengine - INFO - Epoch(train) [2][24200/31614] lr: 3.0000e-04 eta: 22:35:57 time: 0.7835 data_time: 0.0404 memory: 9310 loss_ce: 0.0203 loss: 0.0203 2022/09/16 03:58:19 - mmengine - INFO - Epoch(train) [2][24300/31614] lr: 3.0000e-04 eta: 22:34:33 time: 0.7284 data_time: 0.0160 memory: 9310 loss_ce: 0.0196 loss: 0.0196 2022/09/16 03:59:25 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 03:59:36 - mmengine - INFO - Epoch(train) [2][24400/31614] lr: 3.0000e-04 eta: 22:33:09 time: 0.8039 data_time: 0.0212 memory: 9310 loss_ce: 0.0194 loss: 0.0194 2022/09/16 04:00:52 - mmengine - INFO - Epoch(train) [2][24500/31614] lr: 3.0000e-04 eta: 22:31:43 time: 0.7922 data_time: 0.0147 memory: 9310 loss_ce: 0.0188 loss: 0.0188 2022/09/16 04:02:10 - mmengine - INFO - Epoch(train) [2][24600/31614] lr: 3.0000e-04 eta: 22:30:21 time: 0.7901 data_time: 0.0144 memory: 9310 loss_ce: 0.0179 loss: 0.0179 2022/09/16 04:03:28 - mmengine - INFO - Epoch(train) [2][24700/31614] lr: 3.0000e-04 eta: 22:28:59 time: 0.7397 data_time: 0.0285 memory: 9310 loss_ce: 0.0194 loss: 0.0194 2022/09/16 04:04:48 - mmengine - INFO - Epoch(train) [2][24800/31614] lr: 3.0000e-04 eta: 22:27:39 time: 0.8423 data_time: 0.0659 memory: 9310 loss_ce: 0.0189 loss: 0.0189 2022/09/16 04:06:05 - mmengine - INFO - Epoch(train) [2][24900/31614] lr: 3.0000e-04 eta: 22:26:16 time: 0.7471 data_time: 0.0152 memory: 9310 loss_ce: 0.0175 loss: 0.0175 2022/09/16 04:07:23 - mmengine - INFO - Epoch(train) [2][25000/31614] lr: 3.0000e-04 eta: 22:24:53 time: 0.7234 data_time: 0.0203 memory: 9310 loss_ce: 0.0214 loss: 0.0214 2022/09/16 04:08:42 - mmengine - INFO - Epoch(train) [2][25100/31614] lr: 3.0000e-04 eta: 22:23:33 time: 0.7805 data_time: 0.0128 memory: 9310 loss_ce: 0.0219 loss: 0.0219 2022/09/16 04:10:01 - mmengine - INFO - Epoch(train) [2][25200/31614] lr: 3.0000e-04 eta: 22:22:12 time: 0.7507 data_time: 0.0155 memory: 9310 loss_ce: 0.0179 loss: 0.0179 2022/09/16 04:11:19 - mmengine - INFO - Epoch(train) [2][25300/31614] lr: 3.0000e-04 eta: 22:20:51 time: 0.8044 data_time: 0.0306 memory: 9310 loss_ce: 0.0183 loss: 0.0183 2022/09/16 04:12:26 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 04:12:37 - mmengine - INFO - Epoch(train) [2][25400/31614] lr: 3.0000e-04 eta: 22:19:28 time: 0.8139 data_time: 0.0389 memory: 9310 loss_ce: 0.0197 loss: 0.0197 2022/09/16 04:13:55 - mmengine - INFO - Epoch(train) [2][25500/31614] lr: 3.0000e-04 eta: 22:18:05 time: 0.8176 data_time: 0.0533 memory: 9310 loss_ce: 0.0179 loss: 0.0179 2022/09/16 04:15:13 - mmengine - INFO - Epoch(train) [2][25600/31614] lr: 3.0000e-04 eta: 22:16:43 time: 0.7500 data_time: 0.0188 memory: 9310 loss_ce: 0.0204 loss: 0.0204 2022/09/16 04:16:30 - mmengine - INFO - Epoch(train) [2][25700/31614] lr: 3.0000e-04 eta: 22:15:19 time: 0.7470 data_time: 0.0139 memory: 9310 loss_ce: 0.0234 loss: 0.0234 2022/09/16 04:17:50 - mmengine - INFO - Epoch(train) [2][25800/31614] lr: 3.0000e-04 eta: 22:14:00 time: 0.7905 data_time: 0.0143 memory: 9310 loss_ce: 0.0233 loss: 0.0233 2022/09/16 04:19:08 - mmengine - INFO - Epoch(train) [2][25900/31614] lr: 3.0000e-04 eta: 22:12:38 time: 0.8078 data_time: 0.0560 memory: 9310 loss_ce: 0.0188 loss: 0.0188 2022/09/16 04:20:26 - mmengine - INFO - Epoch(train) [2][26000/31614] lr: 3.0000e-04 eta: 22:11:16 time: 0.7838 data_time: 0.0401 memory: 9310 loss_ce: 0.0202 loss: 0.0202 2022/09/16 04:21:44 - mmengine - INFO - Epoch(train) [2][26100/31614] lr: 3.0000e-04 eta: 22:09:54 time: 0.7488 data_time: 0.0160 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 04:23:02 - mmengine - INFO - Epoch(train) [2][26200/31614] lr: 3.0000e-04 eta: 22:08:31 time: 0.7557 data_time: 0.0185 memory: 9310 loss_ce: 0.0223 loss: 0.0223 2022/09/16 04:24:20 - mmengine - INFO - Epoch(train) [2][26300/31614] lr: 3.0000e-04 eta: 22:07:09 time: 0.7653 data_time: 0.0139 memory: 9310 loss_ce: 0.0173 loss: 0.0173 2022/09/16 04:25:26 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 04:25:36 - mmengine - INFO - Epoch(train) [2][26400/31614] lr: 3.0000e-04 eta: 22:05:45 time: 0.7356 data_time: 0.0153 memory: 9310 loss_ce: 0.0180 loss: 0.0180 2022/09/16 04:26:56 - mmengine - INFO - Epoch(train) [2][26500/31614] lr: 3.0000e-04 eta: 22:04:25 time: 0.7624 data_time: 0.0298 memory: 9310 loss_ce: 0.0190 loss: 0.0190 2022/09/16 04:28:14 - mmengine - INFO - Epoch(train) [2][26600/31614] lr: 3.0000e-04 eta: 22:03:02 time: 0.7995 data_time: 0.0753 memory: 9310 loss_ce: 0.0178 loss: 0.0178 2022/09/16 04:29:31 - mmengine - INFO - Epoch(train) [2][26700/31614] lr: 3.0000e-04 eta: 22:01:39 time: 0.7508 data_time: 0.0172 memory: 9310 loss_ce: 0.0192 loss: 0.0192 2022/09/16 04:30:48 - mmengine - INFO - Epoch(train) [2][26800/31614] lr: 3.0000e-04 eta: 22:00:15 time: 0.7440 data_time: 0.0197 memory: 9310 loss_ce: 0.0223 loss: 0.0223 2022/09/16 04:32:06 - mmengine - INFO - Epoch(train) [2][26900/31614] lr: 3.0000e-04 eta: 21:58:54 time: 0.7642 data_time: 0.0117 memory: 9310 loss_ce: 0.0186 loss: 0.0186 2022/09/16 04:33:25 - mmengine - INFO - Epoch(train) [2][27000/31614] lr: 3.0000e-04 eta: 21:57:33 time: 0.7675 data_time: 0.0109 memory: 9310 loss_ce: 0.0177 loss: 0.0177 2022/09/16 04:34:43 - mmengine - INFO - Epoch(train) [2][27100/31614] lr: 3.0000e-04 eta: 21:56:11 time: 0.7847 data_time: 0.0302 memory: 9310 loss_ce: 0.0194 loss: 0.0194 2022/09/16 04:36:02 - mmengine - INFO - Epoch(train) [2][27200/31614] lr: 3.0000e-04 eta: 21:54:51 time: 0.8177 data_time: 0.0642 memory: 9310 loss_ce: 0.0200 loss: 0.0200 2022/09/16 04:37:19 - mmengine - INFO - Epoch(train) [2][27300/31614] lr: 3.0000e-04 eta: 21:53:27 time: 0.7543 data_time: 0.0191 memory: 9310 loss_ce: 0.0195 loss: 0.0195 2022/09/16 04:38:28 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 04:38:38 - mmengine - INFO - Epoch(train) [2][27400/31614] lr: 3.0000e-04 eta: 21:52:06 time: 0.7152 data_time: 0.0226 memory: 9310 loss_ce: 0.0213 loss: 0.0213 2022/09/16 04:39:55 - mmengine - INFO - Epoch(train) [2][27500/31614] lr: 3.0000e-04 eta: 21:50:44 time: 0.7561 data_time: 0.0159 memory: 9310 loss_ce: 0.0218 loss: 0.0218 2022/09/16 04:41:12 - mmengine - INFO - Epoch(train) [2][27600/31614] lr: 3.0000e-04 eta: 21:49:20 time: 0.7516 data_time: 0.0127 memory: 9310 loss_ce: 0.0222 loss: 0.0222 2022/09/16 04:42:30 - mmengine - INFO - Epoch(train) [2][27700/31614] lr: 3.0000e-04 eta: 21:47:57 time: 0.7827 data_time: 0.0279 memory: 9310 loss_ce: 0.0170 loss: 0.0170 2022/09/16 04:43:46 - mmengine - INFO - Epoch(train) [2][27800/31614] lr: 3.0000e-04 eta: 21:46:32 time: 0.7863 data_time: 0.0362 memory: 9310 loss_ce: 0.0179 loss: 0.0179 2022/09/16 04:45:05 - mmengine - INFO - Epoch(train) [2][27900/31614] lr: 3.0000e-04 eta: 21:45:12 time: 0.7704 data_time: 0.0501 memory: 9310 loss_ce: 0.0198 loss: 0.0198 2022/09/16 04:46:23 - mmengine - INFO - Epoch(train) [2][28000/31614] lr: 3.0000e-04 eta: 21:43:49 time: 0.7573 data_time: 0.0213 memory: 9310 loss_ce: 0.0224 loss: 0.0224 2022/09/16 04:47:40 - mmengine - INFO - Epoch(train) [2][28100/31614] lr: 3.0000e-04 eta: 21:42:26 time: 0.7149 data_time: 0.0155 memory: 9310 loss_ce: 0.0206 loss: 0.0206 2022/09/16 04:48:58 - mmengine - INFO - Epoch(train) [2][28200/31614] lr: 3.0000e-04 eta: 21:41:05 time: 0.7925 data_time: 0.0140 memory: 9310 loss_ce: 0.0224 loss: 0.0224 2022/09/16 04:50:16 - mmengine - INFO - Epoch(train) [2][28300/31614] lr: 3.0000e-04 eta: 21:39:42 time: 0.8151 data_time: 0.0535 memory: 9310 loss_ce: 0.0197 loss: 0.0197 2022/09/16 04:51:21 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 04:51:33 - mmengine - INFO - Epoch(train) [2][28400/31614] lr: 3.0000e-04 eta: 21:38:19 time: 0.8485 data_time: 0.0670 memory: 9310 loss_ce: 0.0186 loss: 0.0186 2022/09/16 04:52:51 - mmengine - INFO - Epoch(train) [2][28500/31614] lr: 3.0000e-04 eta: 21:36:58 time: 0.7622 data_time: 0.0194 memory: 9310 loss_ce: 0.0214 loss: 0.0214 2022/09/16 04:54:10 - mmengine - INFO - Epoch(train) [2][28600/31614] lr: 3.0000e-04 eta: 21:35:37 time: 0.7839 data_time: 0.0340 memory: 9310 loss_ce: 0.0149 loss: 0.0149 2022/09/16 04:55:28 - mmengine - INFO - Epoch(train) [2][28700/31614] lr: 3.0000e-04 eta: 21:34:15 time: 0.7666 data_time: 0.0125 memory: 9310 loss_ce: 0.0188 loss: 0.0188 2022/09/16 04:56:46 - mmengine - INFO - Epoch(train) [2][28800/31614] lr: 3.0000e-04 eta: 21:32:54 time: 0.8268 data_time: 0.0372 memory: 9310 loss_ce: 0.0180 loss: 0.0180 2022/09/16 04:58:05 - mmengine - INFO - Epoch(train) [2][28900/31614] lr: 3.0000e-04 eta: 21:31:34 time: 0.8009 data_time: 0.0295 memory: 9310 loss_ce: 0.0198 loss: 0.0198 2022/09/16 04:59:23 - mmengine - INFO - Epoch(train) [2][29000/31614] lr: 3.0000e-04 eta: 21:30:11 time: 0.7854 data_time: 0.0353 memory: 9310 loss_ce: 0.0223 loss: 0.0223 2022/09/16 05:00:42 - mmengine - INFO - Epoch(train) [2][29100/31614] lr: 3.0000e-04 eta: 21:28:51 time: 0.8227 data_time: 0.0196 memory: 9310 loss_ce: 0.0216 loss: 0.0216 2022/09/16 05:01:59 - mmengine - INFO - Epoch(train) [2][29200/31614] lr: 3.0000e-04 eta: 21:27:29 time: 0.7779 data_time: 0.0216 memory: 9310 loss_ce: 0.0173 loss: 0.0173 2022/09/16 05:03:18 - mmengine - INFO - Epoch(train) [2][29300/31614] lr: 3.0000e-04 eta: 21:26:07 time: 0.7555 data_time: 0.0111 memory: 9310 loss_ce: 0.0215 loss: 0.0215 2022/09/16 05:04:25 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 05:04:36 - mmengine - INFO - Epoch(train) [2][29400/31614] lr: 3.0000e-04 eta: 21:24:46 time: 0.7706 data_time: 0.0191 memory: 9310 loss_ce: 0.0178 loss: 0.0178 2022/09/16 05:05:54 - mmengine - INFO - Epoch(train) [2][29500/31614] lr: 3.0000e-04 eta: 21:23:25 time: 0.7853 data_time: 0.0287 memory: 9310 loss_ce: 0.0218 loss: 0.0218 2022/09/16 05:07:11 - mmengine - INFO - Epoch(train) [2][29600/31614] lr: 3.0000e-04 eta: 21:22:01 time: 0.8270 data_time: 0.0680 memory: 9310 loss_ce: 0.0126 loss: 0.0126 2022/09/16 05:08:29 - mmengine - INFO - Epoch(train) [2][29700/31614] lr: 3.0000e-04 eta: 21:20:40 time: 0.7510 data_time: 0.0237 memory: 9310 loss_ce: 0.0221 loss: 0.0221 2022/09/16 05:09:47 - mmengine - INFO - Epoch(train) [2][29800/31614] lr: 3.0000e-04 eta: 21:19:18 time: 0.7725 data_time: 0.0234 memory: 9310 loss_ce: 0.0218 loss: 0.0218 2022/09/16 05:11:04 - mmengine - INFO - Epoch(train) [2][29900/31614] lr: 3.0000e-04 eta: 21:17:54 time: 0.7902 data_time: 0.0128 memory: 9310 loss_ce: 0.0210 loss: 0.0210 2022/09/16 05:12:20 - mmengine - INFO - Epoch(train) [2][30000/31614] lr: 3.0000e-04 eta: 21:16:30 time: 0.7610 data_time: 0.0108 memory: 9310 loss_ce: 0.0193 loss: 0.0193 2022/09/16 05:13:37 - mmengine - INFO - Epoch(train) [2][30100/31614] lr: 3.0000e-04 eta: 21:15:07 time: 0.7970 data_time: 0.0562 memory: 9310 loss_ce: 0.0202 loss: 0.0202 2022/09/16 05:14:56 - mmengine - INFO - Epoch(train) [2][30200/31614] lr: 3.0000e-04 eta: 21:13:46 time: 0.7736 data_time: 0.0756 memory: 9310 loss_ce: 0.0182 loss: 0.0182 2022/09/16 05:16:13 - mmengine - INFO - Epoch(train) [2][30300/31614] lr: 3.0000e-04 eta: 21:12:24 time: 0.7863 data_time: 0.0209 memory: 9310 loss_ce: 0.0180 loss: 0.0180 2022/09/16 05:17:19 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 05:17:30 - mmengine - INFO - Epoch(train) [2][30400/31614] lr: 3.0000e-04 eta: 21:11:01 time: 0.7869 data_time: 0.0232 memory: 9310 loss_ce: 0.0225 loss: 0.0225 2022/09/16 05:18:48 - mmengine - INFO - Epoch(train) [2][30500/31614] lr: 3.0000e-04 eta: 21:09:39 time: 0.7524 data_time: 0.0109 memory: 9310 loss_ce: 0.0206 loss: 0.0206 2022/09/16 05:20:06 - mmengine - INFO - Epoch(train) [2][30600/31614] lr: 3.0000e-04 eta: 21:08:17 time: 0.7762 data_time: 0.0132 memory: 9310 loss_ce: 0.0174 loss: 0.0174 2022/09/16 05:21:24 - mmengine - INFO - Epoch(train) [2][30700/31614] lr: 3.0000e-04 eta: 21:06:55 time: 0.8104 data_time: 0.0294 memory: 9310 loss_ce: 0.0203 loss: 0.0203 2022/09/16 05:22:42 - mmengine - INFO - Epoch(train) [2][30800/31614] lr: 3.0000e-04 eta: 21:05:34 time: 0.7302 data_time: 0.0397 memory: 9310 loss_ce: 0.0258 loss: 0.0258 2022/09/16 05:23:59 - mmengine - INFO - Epoch(train) [2][30900/31614] lr: 3.0000e-04 eta: 21:04:12 time: 0.7498 data_time: 0.0234 memory: 9310 loss_ce: 0.0156 loss: 0.0156 2022/09/16 05:25:17 - mmengine - INFO - Epoch(train) [2][31000/31614] lr: 3.0000e-04 eta: 21:02:49 time: 0.7455 data_time: 0.0221 memory: 9310 loss_ce: 0.0143 loss: 0.0143 2022/09/16 05:26:34 - mmengine - INFO - Epoch(train) [2][31100/31614] lr: 3.0000e-04 eta: 21:01:26 time: 0.7653 data_time: 0.0133 memory: 9310 loss_ce: 0.0148 loss: 0.0148 2022/09/16 05:27:53 - mmengine - INFO - Epoch(train) [2][31200/31614] lr: 3.0000e-04 eta: 21:00:06 time: 0.7767 data_time: 0.0121 memory: 9310 loss_ce: 0.0181 loss: 0.0181 2022/09/16 05:29:10 - mmengine - INFO - Epoch(train) [2][31300/31614] lr: 3.0000e-04 eta: 20:58:44 time: 0.8307 data_time: 0.0277 memory: 9310 loss_ce: 0.0201 loss: 0.0201 2022/09/16 05:30:16 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 05:30:27 - mmengine - INFO - Epoch(train) [2][31400/31614] lr: 3.0000e-04 eta: 20:57:21 time: 0.7782 data_time: 0.0371 memory: 9310 loss_ce: 0.0236 loss: 0.0236 2022/09/16 05:31:45 - mmengine - INFO - Epoch(train) [2][31500/31614] lr: 3.0000e-04 eta: 20:55:59 time: 0.7856 data_time: 0.0205 memory: 9310 loss_ce: 0.0193 loss: 0.0193 2022/09/16 05:33:03 - mmengine - INFO - Epoch(train) [2][31600/31614] lr: 3.0000e-04 eta: 20:54:38 time: 0.7426 data_time: 0.0195 memory: 9310 loss_ce: 0.0197 loss: 0.0197 2022/09/16 05:33:13 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 05:33:13 - mmengine - INFO - Saving checkpoint at 2 epochs 2022/09/16 05:33:56 - mmengine - INFO - Epoch(val) [2][100/1918] eta: 0:04:43 time: 0.1559 data_time: 0.0006 memory: 9310 2022/09/16 05:34:12 - mmengine - INFO - Epoch(val) [2][200/1918] eta: 0:04:35 time: 0.1603 data_time: 0.0005 memory: 230 2022/09/16 05:34:28 - mmengine - INFO - Epoch(val) [2][300/1918] eta: 0:04:42 time: 0.1744 data_time: 0.0022 memory: 230 2022/09/16 05:34:44 - mmengine - INFO - Epoch(val) [2][400/1918] eta: 0:04:01 time: 0.1590 data_time: 0.0007 memory: 230 2022/09/16 05:34:59 - mmengine - INFO - Epoch(val) [2][500/1918] eta: 0:03:45 time: 0.1588 data_time: 0.0005 memory: 230 2022/09/16 05:35:15 - mmengine - INFO - Epoch(val) [2][600/1918] eta: 0:03:26 time: 0.1564 data_time: 0.0005 memory: 230 2022/09/16 05:35:31 - mmengine - INFO - Epoch(val) [2][700/1918] eta: 0:03:12 time: 0.1579 data_time: 0.0005 memory: 230 2022/09/16 05:35:47 - mmengine - INFO - Epoch(val) [2][800/1918] eta: 0:02:54 time: 0.1563 data_time: 0.0005 memory: 230 2022/09/16 05:36:02 - mmengine - INFO - Epoch(val) [2][900/1918] eta: 0:02:40 time: 0.1577 data_time: 0.0005 memory: 230 2022/09/16 05:36:18 - mmengine - INFO - Epoch(val) [2][1000/1918] eta: 0:02:26 time: 0.1601 data_time: 0.0007 memory: 230 2022/09/16 05:36:34 - mmengine - INFO - Epoch(val) [2][1100/1918] eta: 0:02:08 time: 0.1568 data_time: 0.0006 memory: 230 2022/09/16 05:36:49 - mmengine - INFO - Epoch(val) [2][1200/1918] eta: 0:01:51 time: 0.1552 data_time: 0.0005 memory: 230 2022/09/16 05:37:05 - mmengine - INFO - Epoch(val) [2][1300/1918] eta: 0:01:36 time: 0.1568 data_time: 0.0005 memory: 230 2022/09/16 05:37:21 - mmengine - INFO - Epoch(val) [2][1400/1918] eta: 0:01:21 time: 0.1580 data_time: 0.0006 memory: 230 2022/09/16 05:37:37 - mmengine - INFO - Epoch(val) [2][1500/1918] eta: 0:01:05 time: 0.1574 data_time: 0.0006 memory: 230 2022/09/16 05:37:52 - mmengine - INFO - Epoch(val) [2][1600/1918] eta: 0:00:49 time: 0.1562 data_time: 0.0006 memory: 230 2022/09/16 05:38:08 - mmengine - INFO - Epoch(val) [2][1700/1918] eta: 0:00:36 time: 0.1685 data_time: 0.0026 memory: 230 2022/09/16 05:38:24 - mmengine - INFO - Epoch(val) [2][1800/1918] eta: 0:00:18 time: 0.1552 data_time: 0.0005 memory: 230 2022/09/16 05:38:40 - mmengine - INFO - Epoch(val) [2][1900/1918] eta: 0:00:02 time: 0.1575 data_time: 0.0017 memory: 230 2022/09/16 05:38:43 - mmengine - INFO - Epoch(val) [2][1918/1918] CUTE80/recog/word_acc_ignore_case_symbol: 0.8056 IIIT5K/recog/word_acc_ignore_case_symbol: 0.9313 SVT/recog/word_acc_ignore_case_symbol: 0.8934 SVTP/recog/word_acc_ignore_case_symbol: 0.8233 IC13/recog/word_acc_ignore_case_symbol: 0.9429 IC15/recog/word_acc_ignore_case_symbol: 0.7511 2022/09/16 05:40:05 - mmengine - INFO - Epoch(train) [3][100/31614] lr: 3.0000e-04 eta: 20:53:06 time: 0.7468 data_time: 0.0469 memory: 9310 loss_ce: 0.0179 loss: 0.0179 2022/09/16 05:41:22 - mmengine - INFO - Epoch(train) [3][200/31614] lr: 3.0000e-04 eta: 20:51:44 time: 0.7812 data_time: 0.0418 memory: 9310 loss_ce: 0.0155 loss: 0.0155 2022/09/16 05:42:40 - mmengine - INFO - Epoch(train) [3][300/31614] lr: 3.0000e-04 eta: 20:50:23 time: 0.7645 data_time: 0.0020 memory: 9310 loss_ce: 0.0177 loss: 0.0177 2022/09/16 05:43:57 - mmengine - INFO - Epoch(train) [3][400/31614] lr: 3.0000e-04 eta: 20:49:00 time: 0.7546 data_time: 0.0045 memory: 9310 loss_ce: 0.0154 loss: 0.0154 2022/09/16 05:45:16 - mmengine - INFO - Epoch(train) [3][500/31614] lr: 3.0000e-04 eta: 20:47:39 time: 0.7525 data_time: 0.0147 memory: 9310 loss_ce: 0.0167 loss: 0.0167 2022/09/16 05:46:34 - mmengine - INFO - Epoch(train) [3][600/31614] lr: 3.0000e-04 eta: 20:46:18 time: 0.7540 data_time: 0.0114 memory: 9310 loss_ce: 0.0209 loss: 0.0209 2022/09/16 05:47:52 - mmengine - INFO - Epoch(train) [3][700/31614] lr: 3.0000e-04 eta: 20:44:57 time: 0.7978 data_time: 0.0792 memory: 9310 loss_ce: 0.0213 loss: 0.0213 2022/09/16 05:48:48 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 05:49:10 - mmengine - INFO - Epoch(train) [3][800/31614] lr: 3.0000e-04 eta: 20:43:35 time: 0.8175 data_time: 0.0698 memory: 9310 loss_ce: 0.0169 loss: 0.0169 2022/09/16 05:50:26 - mmengine - INFO - Epoch(train) [3][900/31614] lr: 3.0000e-04 eta: 20:42:10 time: 0.7583 data_time: 0.0021 memory: 9310 loss_ce: 0.0206 loss: 0.0206 2022/09/16 05:51:42 - mmengine - INFO - Epoch(train) [3][1000/31614] lr: 3.0000e-04 eta: 20:40:47 time: 0.6968 data_time: 0.0046 memory: 9310 loss_ce: 0.0176 loss: 0.0176 2022/09/16 05:53:00 - mmengine - INFO - Epoch(train) [3][1100/31614] lr: 3.0000e-04 eta: 20:39:25 time: 0.7597 data_time: 0.0136 memory: 9310 loss_ce: 0.0152 loss: 0.0152 2022/09/16 05:54:15 - mmengine - INFO - Epoch(train) [3][1200/31614] lr: 3.0000e-04 eta: 20:38:00 time: 0.7721 data_time: 0.0148 memory: 9310 loss_ce: 0.0173 loss: 0.0173 2022/09/16 05:55:34 - mmengine - INFO - Epoch(train) [3][1300/31614] lr: 3.0000e-04 eta: 20:36:40 time: 0.7971 data_time: 0.0463 memory: 9310 loss_ce: 0.0173 loss: 0.0173 2022/09/16 05:56:53 - mmengine - INFO - Epoch(train) [3][1400/31614] lr: 3.0000e-04 eta: 20:35:20 time: 0.8280 data_time: 0.0423 memory: 9310 loss_ce: 0.0215 loss: 0.0215 2022/09/16 05:58:11 - mmengine - INFO - Epoch(train) [3][1500/31614] lr: 3.0000e-04 eta: 20:33:58 time: 0.7510 data_time: 0.0021 memory: 9310 loss_ce: 0.0185 loss: 0.0185 2022/09/16 05:59:26 - mmengine - INFO - Epoch(train) [3][1600/31614] lr: 3.0000e-04 eta: 20:32:33 time: 0.7631 data_time: 0.0043 memory: 9310 loss_ce: 0.0187 loss: 0.0187 2022/09/16 06:00:47 - mmengine - INFO - Epoch(train) [3][1700/31614] lr: 3.0000e-04 eta: 20:31:16 time: 0.7446 data_time: 0.0143 memory: 9310 loss_ce: 0.0196 loss: 0.0196 2022/09/16 06:01:42 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 06:02:04 - mmengine - INFO - Epoch(train) [3][1800/31614] lr: 3.0000e-04 eta: 20:29:54 time: 0.7586 data_time: 0.0126 memory: 9310 loss_ce: 0.0148 loss: 0.0148 2022/09/16 06:03:22 - mmengine - INFO - Epoch(train) [3][1900/31614] lr: 3.0000e-04 eta: 20:28:33 time: 0.7977 data_time: 0.0445 memory: 9310 loss_ce: 0.0168 loss: 0.0168 2022/09/16 06:04:40 - mmengine - INFO - Epoch(train) [3][2000/31614] lr: 3.0000e-04 eta: 20:27:11 time: 0.8542 data_time: 0.0716 memory: 9310 loss_ce: 0.0180 loss: 0.0180 2022/09/16 06:05:58 - mmengine - INFO - Epoch(train) [3][2100/31614] lr: 3.0000e-04 eta: 20:25:49 time: 0.7683 data_time: 0.0031 memory: 9310 loss_ce: 0.0159 loss: 0.0159 2022/09/16 06:07:15 - mmengine - INFO - Epoch(train) [3][2200/31614] lr: 3.0000e-04 eta: 20:24:27 time: 0.7465 data_time: 0.0045 memory: 9310 loss_ce: 0.0170 loss: 0.0170 2022/09/16 06:08:33 - mmengine - INFO - Epoch(train) [3][2300/31614] lr: 3.0000e-04 eta: 20:23:06 time: 0.7513 data_time: 0.0133 memory: 9310 loss_ce: 0.0204 loss: 0.0204 2022/09/16 06:09:50 - mmengine - INFO - Epoch(train) [3][2400/31614] lr: 3.0000e-04 eta: 20:21:43 time: 0.7519 data_time: 0.0109 memory: 9310 loss_ce: 0.0158 loss: 0.0158 2022/09/16 06:11:08 - mmengine - INFO - Epoch(train) [3][2500/31614] lr: 3.0000e-04 eta: 20:20:22 time: 0.8425 data_time: 0.0805 memory: 9310 loss_ce: 0.0165 loss: 0.0165 2022/09/16 06:12:24 - mmengine - INFO - Epoch(train) [3][2600/31614] lr: 3.0000e-04 eta: 20:18:59 time: 0.7865 data_time: 0.0739 memory: 9310 loss_ce: 0.0193 loss: 0.0193 2022/09/16 06:13:41 - mmengine - INFO - Epoch(train) [3][2700/31614] lr: 3.0000e-04 eta: 20:17:36 time: 0.7190 data_time: 0.0023 memory: 9310 loss_ce: 0.0169 loss: 0.0169 2022/09/16 06:14:37 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 06:14:59 - mmengine - INFO - Epoch(train) [3][2800/31614] lr: 3.0000e-04 eta: 20:16:14 time: 0.7366 data_time: 0.0063 memory: 9310 loss_ce: 0.0208 loss: 0.0208 2022/09/16 06:16:17 - mmengine - INFO - Epoch(train) [3][2900/31614] lr: 3.0000e-04 eta: 20:14:53 time: 0.7560 data_time: 0.0162 memory: 9310 loss_ce: 0.0175 loss: 0.0175 2022/09/16 06:17:35 - mmengine - INFO - Epoch(train) [3][3000/31614] lr: 3.0000e-04 eta: 20:13:33 time: 0.7523 data_time: 0.0171 memory: 9310 loss_ce: 0.0180 loss: 0.0180 2022/09/16 06:18:52 - mmengine - INFO - Epoch(train) [3][3100/31614] lr: 3.0000e-04 eta: 20:12:10 time: 0.7529 data_time: 0.0420 memory: 9310 loss_ce: 0.0194 loss: 0.0194 2022/09/16 06:20:09 - mmengine - INFO - Epoch(train) [3][3200/31614] lr: 3.0000e-04 eta: 20:10:48 time: 0.8458 data_time: 0.0512 memory: 9310 loss_ce: 0.0163 loss: 0.0163 2022/09/16 06:21:26 - mmengine - INFO - Epoch(train) [3][3300/31614] lr: 3.0000e-04 eta: 20:09:26 time: 0.7295 data_time: 0.0023 memory: 9310 loss_ce: 0.0187 loss: 0.0187 2022/09/16 06:22:45 - mmengine - INFO - Epoch(train) [3][3400/31614] lr: 3.0000e-04 eta: 20:08:06 time: 0.7635 data_time: 0.0067 memory: 9310 loss_ce: 0.0178 loss: 0.0178 2022/09/16 06:24:03 - mmengine - INFO - Epoch(train) [3][3500/31614] lr: 3.0000e-04 eta: 20:06:45 time: 0.7694 data_time: 0.0187 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 06:25:22 - mmengine - INFO - Epoch(train) [3][3600/31614] lr: 3.0000e-04 eta: 20:05:25 time: 0.7604 data_time: 0.0115 memory: 9310 loss_ce: 0.0154 loss: 0.0154 2022/09/16 06:26:38 - mmengine - INFO - Epoch(train) [3][3700/31614] lr: 3.0000e-04 eta: 20:04:01 time: 0.7462 data_time: 0.0746 memory: 9310 loss_ce: 0.0179 loss: 0.0179 2022/09/16 06:27:34 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 06:27:55 - mmengine - INFO - Epoch(train) [3][3800/31614] lr: 3.0000e-04 eta: 20:02:39 time: 0.7887 data_time: 0.0398 memory: 9310 loss_ce: 0.0224 loss: 0.0224 2022/09/16 06:29:12 - mmengine - INFO - Epoch(train) [3][3900/31614] lr: 3.0000e-04 eta: 20:01:17 time: 0.7529 data_time: 0.0021 memory: 9310 loss_ce: 0.0171 loss: 0.0171 2022/09/16 06:30:30 - mmengine - INFO - Epoch(train) [3][4000/31614] lr: 3.0000e-04 eta: 19:59:55 time: 0.7526 data_time: 0.0071 memory: 9310 loss_ce: 0.0216 loss: 0.0216 2022/09/16 06:31:48 - mmengine - INFO - Epoch(train) [3][4100/31614] lr: 3.0000e-04 eta: 19:58:35 time: 0.7631 data_time: 0.0202 memory: 9310 loss_ce: 0.0155 loss: 0.0155 2022/09/16 06:33:06 - mmengine - INFO - Epoch(train) [3][4200/31614] lr: 3.0000e-04 eta: 19:57:13 time: 0.7852 data_time: 0.0110 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 06:34:24 - mmengine - INFO - Epoch(train) [3][4300/31614] lr: 3.0000e-04 eta: 19:55:52 time: 0.8047 data_time: 0.0618 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 06:35:41 - mmengine - INFO - Epoch(train) [3][4400/31614] lr: 3.0000e-04 eta: 19:54:31 time: 0.8474 data_time: 0.0752 memory: 9310 loss_ce: 0.0141 loss: 0.0141 2022/09/16 06:36:59 - mmengine - INFO - Epoch(train) [3][4500/31614] lr: 3.0000e-04 eta: 19:53:10 time: 0.7564 data_time: 0.0021 memory: 9310 loss_ce: 0.0172 loss: 0.0172 2022/09/16 06:38:16 - mmengine - INFO - Epoch(train) [3][4600/31614] lr: 3.0000e-04 eta: 19:51:48 time: 0.7308 data_time: 0.0068 memory: 9310 loss_ce: 0.0171 loss: 0.0171 2022/09/16 06:39:34 - mmengine - INFO - Epoch(train) [3][4700/31614] lr: 3.0000e-04 eta: 19:50:26 time: 0.7593 data_time: 0.0158 memory: 9310 loss_ce: 0.0208 loss: 0.0208 2022/09/16 06:40:28 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 06:40:50 - mmengine - INFO - Epoch(train) [3][4800/31614] lr: 3.0000e-04 eta: 19:49:03 time: 0.7521 data_time: 0.0137 memory: 9310 loss_ce: 0.0180 loss: 0.0180 2022/09/16 06:42:09 - mmengine - INFO - Epoch(train) [3][4900/31614] lr: 3.0000e-04 eta: 19:47:44 time: 0.8036 data_time: 0.0447 memory: 9310 loss_ce: 0.0180 loss: 0.0180 2022/09/16 06:43:26 - mmengine - INFO - Epoch(train) [3][5000/31614] lr: 3.0000e-04 eta: 19:46:21 time: 0.7617 data_time: 0.0420 memory: 9310 loss_ce: 0.0153 loss: 0.0153 2022/09/16 06:44:44 - mmengine - INFO - Epoch(train) [3][5100/31614] lr: 3.0000e-04 eta: 19:45:00 time: 0.7524 data_time: 0.0026 memory: 9310 loss_ce: 0.0133 loss: 0.0133 2022/09/16 06:46:02 - mmengine - INFO - Epoch(train) [3][5200/31614] lr: 3.0000e-04 eta: 19:43:39 time: 0.7617 data_time: 0.0065 memory: 9310 loss_ce: 0.0214 loss: 0.0214 2022/09/16 06:47:20 - mmengine - INFO - Epoch(train) [3][5300/31614] lr: 3.0000e-04 eta: 19:42:18 time: 0.7675 data_time: 0.0160 memory: 9310 loss_ce: 0.0156 loss: 0.0156 2022/09/16 06:48:37 - mmengine - INFO - Epoch(train) [3][5400/31614] lr: 3.0000e-04 eta: 19:40:57 time: 0.7653 data_time: 0.0112 memory: 9310 loss_ce: 0.0171 loss: 0.0171 2022/09/16 06:49:56 - mmengine - INFO - Epoch(train) [3][5500/31614] lr: 3.0000e-04 eta: 19:39:36 time: 0.8138 data_time: 0.0632 memory: 9310 loss_ce: 0.0146 loss: 0.0146 2022/09/16 06:51:12 - mmengine - INFO - Epoch(train) [3][5600/31614] lr: 3.0000e-04 eta: 19:38:13 time: 0.7868 data_time: 0.0403 memory: 9310 loss_ce: 0.0179 loss: 0.0179 2022/09/16 06:52:29 - mmengine - INFO - Epoch(train) [3][5700/31614] lr: 3.0000e-04 eta: 19:36:51 time: 0.7498 data_time: 0.0022 memory: 9310 loss_ce: 0.0159 loss: 0.0159 2022/09/16 06:53:25 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 06:53:46 - mmengine - INFO - Epoch(train) [3][5800/31614] lr: 3.0000e-04 eta: 19:35:30 time: 0.7569 data_time: 0.0067 memory: 9310 loss_ce: 0.0140 loss: 0.0140 2022/09/16 06:55:03 - mmengine - INFO - Epoch(train) [3][5900/31614] lr: 3.0000e-04 eta: 19:34:07 time: 0.7519 data_time: 0.0173 memory: 9310 loss_ce: 0.0158 loss: 0.0158 2022/09/16 06:56:20 - mmengine - INFO - Epoch(train) [3][6000/31614] lr: 3.0000e-04 eta: 19:32:44 time: 0.7667 data_time: 0.0119 memory: 9310 loss_ce: 0.0203 loss: 0.0203 2022/09/16 06:57:37 - mmengine - INFO - Epoch(train) [3][6100/31614] lr: 3.0000e-04 eta: 19:31:23 time: 0.7640 data_time: 0.0537 memory: 9310 loss_ce: 0.0207 loss: 0.0207 2022/09/16 06:58:54 - mmengine - INFO - Epoch(train) [3][6200/31614] lr: 3.0000e-04 eta: 19:30:01 time: 0.8399 data_time: 0.0733 memory: 9310 loss_ce: 0.0154 loss: 0.0154 2022/09/16 07:00:12 - mmengine - INFO - Epoch(train) [3][6300/31614] lr: 3.0000e-04 eta: 19:28:40 time: 0.7506 data_time: 0.0021 memory: 9310 loss_ce: 0.0177 loss: 0.0177 2022/09/16 07:01:29 - mmengine - INFO - Epoch(train) [3][6400/31614] lr: 3.0000e-04 eta: 19:27:18 time: 0.7578 data_time: 0.0063 memory: 9310 loss_ce: 0.0168 loss: 0.0168 2022/09/16 07:02:47 - mmengine - INFO - Epoch(train) [3][6500/31614] lr: 3.0000e-04 eta: 19:25:57 time: 0.7673 data_time: 0.0157 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 07:04:05 - mmengine - INFO - Epoch(train) [3][6600/31614] lr: 3.0000e-04 eta: 19:24:37 time: 0.8202 data_time: 0.0370 memory: 9310 loss_ce: 0.0165 loss: 0.0165 2022/09/16 07:05:24 - mmengine - INFO - Epoch(train) [3][6700/31614] lr: 3.0000e-04 eta: 19:23:17 time: 0.8128 data_time: 0.0444 memory: 9310 loss_ce: 0.0159 loss: 0.0159 2022/09/16 07:06:19 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 07:06:41 - mmengine - INFO - Epoch(train) [3][6800/31614] lr: 3.0000e-04 eta: 19:21:55 time: 0.7808 data_time: 0.0400 memory: 9310 loss_ce: 0.0196 loss: 0.0196 2022/09/16 07:07:58 - mmengine - INFO - Epoch(train) [3][6900/31614] lr: 3.0000e-04 eta: 19:20:33 time: 0.7575 data_time: 0.0021 memory: 9310 loss_ce: 0.0180 loss: 0.0180 2022/09/16 07:09:15 - mmengine - INFO - Epoch(train) [3][7000/31614] lr: 3.0000e-04 eta: 19:19:12 time: 0.7548 data_time: 0.0066 memory: 9310 loss_ce: 0.0185 loss: 0.0185 2022/09/16 07:10:33 - mmengine - INFO - Epoch(train) [3][7100/31614] lr: 3.0000e-04 eta: 19:17:51 time: 0.7539 data_time: 0.0145 memory: 9310 loss_ce: 0.0170 loss: 0.0170 2022/09/16 07:11:51 - mmengine - INFO - Epoch(train) [3][7200/31614] lr: 3.0000e-04 eta: 19:16:30 time: 0.7497 data_time: 0.0115 memory: 9310 loss_ce: 0.0147 loss: 0.0147 2022/09/16 07:13:08 - mmengine - INFO - Epoch(train) [3][7300/31614] lr: 3.0000e-04 eta: 19:15:08 time: 0.7828 data_time: 0.0451 memory: 9310 loss_ce: 0.0201 loss: 0.0201 2022/09/16 07:14:26 - mmengine - INFO - Epoch(train) [3][7400/31614] lr: 3.0000e-04 eta: 19:13:47 time: 0.8165 data_time: 0.0428 memory: 9310 loss_ce: 0.0152 loss: 0.0152 2022/09/16 07:15:43 - mmengine - INFO - Epoch(train) [3][7500/31614] lr: 3.0000e-04 eta: 19:12:25 time: 0.6646 data_time: 0.0021 memory: 9310 loss_ce: 0.0199 loss: 0.0199 2022/09/16 07:17:01 - mmengine - INFO - Epoch(train) [3][7600/31614] lr: 3.0000e-04 eta: 19:11:05 time: 0.7637 data_time: 0.0049 memory: 9310 loss_ce: 0.0170 loss: 0.0170 2022/09/16 07:18:18 - mmengine - INFO - Epoch(train) [3][7700/31614] lr: 3.0000e-04 eta: 19:09:43 time: 0.7079 data_time: 0.0156 memory: 9310 loss_ce: 0.0152 loss: 0.0152 2022/09/16 07:19:14 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 07:19:36 - mmengine - INFO - Epoch(train) [3][7800/31614] lr: 3.0000e-04 eta: 19:08:22 time: 0.7531 data_time: 0.0114 memory: 9310 loss_ce: 0.0175 loss: 0.0175 2022/09/16 07:20:54 - mmengine - INFO - Epoch(train) [3][7900/31614] lr: 3.0000e-04 eta: 19:07:02 time: 0.7829 data_time: 0.0527 memory: 9310 loss_ce: 0.0182 loss: 0.0182 2022/09/16 07:22:12 - mmengine - INFO - Epoch(train) [3][8000/31614] lr: 3.0000e-04 eta: 19:05:41 time: 0.8342 data_time: 0.0740 memory: 9310 loss_ce: 0.0154 loss: 0.0154 2022/09/16 07:23:29 - mmengine - INFO - Epoch(train) [3][8100/31614] lr: 3.0000e-04 eta: 19:04:20 time: 0.7011 data_time: 0.0024 memory: 9310 loss_ce: 0.0142 loss: 0.0142 2022/09/16 07:24:47 - mmengine - INFO - Epoch(train) [3][8200/31614] lr: 3.0000e-04 eta: 19:02:59 time: 0.6651 data_time: 0.0058 memory: 9310 loss_ce: 0.0194 loss: 0.0194 2022/09/16 07:26:04 - mmengine - INFO - Epoch(train) [3][8300/31614] lr: 3.0000e-04 eta: 19:01:37 time: 0.7414 data_time: 0.0528 memory: 9310 loss_ce: 0.0182 loss: 0.0182 2022/09/16 07:27:21 - mmengine - INFO - Epoch(train) [3][8400/31614] lr: 3.0000e-04 eta: 19:00:16 time: 0.7511 data_time: 0.0122 memory: 9310 loss_ce: 0.0152 loss: 0.0152 2022/09/16 07:28:39 - mmengine - INFO - Epoch(train) [3][8500/31614] lr: 3.0000e-04 eta: 18:58:54 time: 0.7999 data_time: 0.0731 memory: 9310 loss_ce: 0.0163 loss: 0.0163 2022/09/16 07:29:55 - mmengine - INFO - Epoch(train) [3][8600/31614] lr: 3.0000e-04 eta: 18:57:32 time: 0.8268 data_time: 0.0717 memory: 9310 loss_ce: 0.0145 loss: 0.0145 2022/09/16 07:31:13 - mmengine - INFO - Epoch(train) [3][8700/31614] lr: 3.0000e-04 eta: 18:56:12 time: 0.7566 data_time: 0.0021 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 07:32:09 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 07:32:31 - mmengine - INFO - Epoch(train) [3][8800/31614] lr: 3.0000e-04 eta: 18:54:51 time: 0.7462 data_time: 0.0333 memory: 9310 loss_ce: 0.0195 loss: 0.0195 2022/09/16 07:33:48 - mmengine - INFO - Epoch(train) [3][8900/31614] lr: 3.0000e-04 eta: 18:53:29 time: 0.7531 data_time: 0.0140 memory: 9310 loss_ce: 0.0156 loss: 0.0156 2022/09/16 07:35:05 - mmengine - INFO - Epoch(train) [3][9000/31614] lr: 3.0000e-04 eta: 18:52:07 time: 0.6968 data_time: 0.0130 memory: 9310 loss_ce: 0.0135 loss: 0.0135 2022/09/16 07:36:23 - mmengine - INFO - Epoch(train) [3][9100/31614] lr: 3.0000e-04 eta: 18:50:46 time: 0.8341 data_time: 0.0808 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 07:37:39 - mmengine - INFO - Epoch(train) [3][9200/31614] lr: 3.0000e-04 eta: 18:49:24 time: 0.7240 data_time: 0.0427 memory: 9310 loss_ce: 0.0196 loss: 0.0196 2022/09/16 07:38:55 - mmengine - INFO - Epoch(train) [3][9300/31614] lr: 3.0000e-04 eta: 18:48:01 time: 0.7521 data_time: 0.0020 memory: 9310 loss_ce: 0.0155 loss: 0.0155 2022/09/16 07:40:13 - mmengine - INFO - Epoch(train) [3][9400/31614] lr: 3.0000e-04 eta: 18:46:41 time: 0.7709 data_time: 0.0049 memory: 9310 loss_ce: 0.0156 loss: 0.0156 2022/09/16 07:41:30 - mmengine - INFO - Epoch(train) [3][9500/31614] lr: 3.0000e-04 eta: 18:45:19 time: 0.7538 data_time: 0.0131 memory: 9310 loss_ce: 0.0209 loss: 0.0209 2022/09/16 07:42:48 - mmengine - INFO - Epoch(train) [3][9600/31614] lr: 3.0000e-04 eta: 18:43:59 time: 0.7525 data_time: 0.0128 memory: 9310 loss_ce: 0.0157 loss: 0.0157 2022/09/16 07:44:06 - mmengine - INFO - Epoch(train) [3][9700/31614] lr: 3.0000e-04 eta: 18:42:38 time: 0.7865 data_time: 0.0456 memory: 9310 loss_ce: 0.0164 loss: 0.0164 2022/09/16 07:45:01 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 07:45:23 - mmengine - INFO - Epoch(train) [3][9800/31614] lr: 3.0000e-04 eta: 18:41:16 time: 0.7834 data_time: 0.0416 memory: 9310 loss_ce: 0.0185 loss: 0.0185 2022/09/16 07:46:41 - mmengine - INFO - Epoch(train) [3][9900/31614] lr: 3.0000e-04 eta: 18:39:56 time: 0.7561 data_time: 0.0023 memory: 9310 loss_ce: 0.0186 loss: 0.0186 2022/09/16 07:47:58 - mmengine - INFO - Epoch(train) [3][10000/31614] lr: 3.0000e-04 eta: 18:38:35 time: 0.7539 data_time: 0.0052 memory: 9310 loss_ce: 0.0178 loss: 0.0178 2022/09/16 07:49:17 - mmengine - INFO - Epoch(train) [3][10100/31614] lr: 3.0000e-04 eta: 18:37:15 time: 0.7657 data_time: 0.0136 memory: 9310 loss_ce: 0.0134 loss: 0.0134 2022/09/16 07:50:35 - mmengine - INFO - Epoch(train) [3][10200/31614] lr: 3.0000e-04 eta: 18:35:55 time: 0.7650 data_time: 0.0128 memory: 9310 loss_ce: 0.0188 loss: 0.0188 2022/09/16 07:51:52 - mmengine - INFO - Epoch(train) [3][10300/31614] lr: 3.0000e-04 eta: 18:34:34 time: 0.7488 data_time: 0.0440 memory: 9310 loss_ce: 0.0148 loss: 0.0148 2022/09/16 07:53:10 - mmengine - INFO - Epoch(train) [3][10400/31614] lr: 3.0000e-04 eta: 18:33:13 time: 0.8493 data_time: 0.0725 memory: 9310 loss_ce: 0.0161 loss: 0.0161 2022/09/16 07:54:27 - mmengine - INFO - Epoch(train) [3][10500/31614] lr: 3.0000e-04 eta: 18:31:51 time: 0.7539 data_time: 0.0021 memory: 9310 loss_ce: 0.0200 loss: 0.0200 2022/09/16 07:55:44 - mmengine - INFO - Epoch(train) [3][10600/31614] lr: 3.0000e-04 eta: 18:30:30 time: 0.7552 data_time: 0.0027 memory: 9310 loss_ce: 0.0201 loss: 0.0201 2022/09/16 07:57:02 - mmengine - INFO - Epoch(train) [3][10700/31614] lr: 3.0000e-04 eta: 18:29:09 time: 0.6667 data_time: 0.0113 memory: 9310 loss_ce: 0.0182 loss: 0.0182 2022/09/16 07:57:58 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 07:58:18 - mmengine - INFO - Epoch(train) [3][10800/31614] lr: 3.0000e-04 eta: 18:27:47 time: 0.7079 data_time: 0.0110 memory: 9310 loss_ce: 0.0171 loss: 0.0171 2022/09/16 07:59:35 - mmengine - INFO - Epoch(train) [3][10900/31614] lr: 3.0000e-04 eta: 18:26:26 time: 0.8038 data_time: 0.0465 memory: 9310 loss_ce: 0.0198 loss: 0.0198 2022/09/16 08:00:53 - mmengine - INFO - Epoch(train) [3][11000/31614] lr: 3.0000e-04 eta: 18:25:05 time: 0.7874 data_time: 0.0451 memory: 9310 loss_ce: 0.0161 loss: 0.0161 2022/09/16 08:02:12 - mmengine - INFO - Epoch(train) [3][11100/31614] lr: 3.0000e-04 eta: 18:23:45 time: 0.7781 data_time: 0.0021 memory: 9310 loss_ce: 0.0185 loss: 0.0185 2022/09/16 08:03:29 - mmengine - INFO - Epoch(train) [3][11200/31614] lr: 3.0000e-04 eta: 18:22:24 time: 0.7494 data_time: 0.0029 memory: 9310 loss_ce: 0.0190 loss: 0.0190 2022/09/16 08:04:47 - mmengine - INFO - Epoch(train) [3][11300/31614] lr: 3.0000e-04 eta: 18:21:04 time: 0.7312 data_time: 0.0118 memory: 9310 loss_ce: 0.0139 loss: 0.0139 2022/09/16 08:06:05 - mmengine - INFO - Epoch(train) [3][11400/31614] lr: 3.0000e-04 eta: 18:19:44 time: 0.7909 data_time: 0.0112 memory: 9310 loss_ce: 0.0124 loss: 0.0124 2022/09/16 08:07:22 - mmengine - INFO - Epoch(train) [3][11500/31614] lr: 3.0000e-04 eta: 18:18:22 time: 0.8451 data_time: 0.0730 memory: 9310 loss_ce: 0.0170 loss: 0.0170 2022/09/16 08:08:40 - mmengine - INFO - Epoch(train) [3][11600/31614] lr: 3.0000e-04 eta: 18:17:02 time: 0.8122 data_time: 0.0442 memory: 9310 loss_ce: 0.0156 loss: 0.0156 2022/09/16 08:09:58 - mmengine - INFO - Epoch(train) [3][11700/31614] lr: 3.0000e-04 eta: 18:15:42 time: 0.7538 data_time: 0.0023 memory: 9310 loss_ce: 0.0185 loss: 0.0185 2022/09/16 08:10:54 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 08:11:16 - mmengine - INFO - Epoch(train) [3][11800/31614] lr: 3.0000e-04 eta: 18:14:22 time: 0.7547 data_time: 0.0023 memory: 9310 loss_ce: 0.0163 loss: 0.0163 2022/09/16 08:12:35 - mmengine - INFO - Epoch(train) [3][11900/31614] lr: 3.0000e-04 eta: 18:13:02 time: 0.7901 data_time: 0.0114 memory: 9310 loss_ce: 0.0195 loss: 0.0195 2022/09/16 08:13:53 - mmengine - INFO - Epoch(train) [3][12000/31614] lr: 3.0000e-04 eta: 18:11:42 time: 0.7922 data_time: 0.0111 memory: 9310 loss_ce: 0.0213 loss: 0.0213 2022/09/16 08:15:12 - mmengine - INFO - Epoch(train) [3][12100/31614] lr: 3.0000e-04 eta: 18:10:23 time: 0.8347 data_time: 0.0814 memory: 9310 loss_ce: 0.0150 loss: 0.0150 2022/09/16 08:16:29 - mmengine - INFO - Epoch(train) [3][12200/31614] lr: 3.0000e-04 eta: 18:09:01 time: 0.7847 data_time: 0.0458 memory: 9310 loss_ce: 0.0151 loss: 0.0151 2022/09/16 08:17:48 - mmengine - INFO - Epoch(train) [3][12300/31614] lr: 3.0000e-04 eta: 18:07:42 time: 0.8668 data_time: 0.0022 memory: 9310 loss_ce: 0.0173 loss: 0.0173 2022/09/16 08:19:05 - mmengine - INFO - Epoch(train) [3][12400/31614] lr: 3.0000e-04 eta: 18:06:21 time: 0.7544 data_time: 0.0021 memory: 9310 loss_ce: 0.0171 loss: 0.0171 2022/09/16 08:20:23 - mmengine - INFO - Epoch(train) [3][12500/31614] lr: 3.0000e-04 eta: 18:05:01 time: 0.7545 data_time: 0.0107 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 08:21:40 - mmengine - INFO - Epoch(train) [3][12600/31614] lr: 3.0000e-04 eta: 18:03:40 time: 0.7642 data_time: 0.0120 memory: 9310 loss_ce: 0.0165 loss: 0.0165 2022/09/16 08:22:58 - mmengine - INFO - Epoch(train) [3][12700/31614] lr: 3.0000e-04 eta: 18:02:20 time: 0.7826 data_time: 0.0703 memory: 9310 loss_ce: 0.0166 loss: 0.0166 2022/09/16 08:23:54 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 08:24:17 - mmengine - INFO - Epoch(train) [3][12800/31614] lr: 3.0000e-04 eta: 18:01:00 time: 0.8459 data_time: 0.0786 memory: 9310 loss_ce: 0.0173 loss: 0.0173 2022/09/16 08:25:34 - mmengine - INFO - Epoch(train) [3][12900/31614] lr: 3.0000e-04 eta: 17:59:39 time: 0.7546 data_time: 0.0023 memory: 9310 loss_ce: 0.0203 loss: 0.0203 2022/09/16 08:26:52 - mmengine - INFO - Epoch(train) [3][13000/31614] lr: 3.0000e-04 eta: 17:58:18 time: 0.7526 data_time: 0.0021 memory: 9310 loss_ce: 0.0166 loss: 0.0166 2022/09/16 08:28:09 - mmengine - INFO - Epoch(train) [3][13100/31614] lr: 3.0000e-04 eta: 17:56:57 time: 0.7522 data_time: 0.0148 memory: 9310 loss_ce: 0.0155 loss: 0.0155 2022/09/16 08:29:27 - mmengine - INFO - Epoch(train) [3][13200/31614] lr: 3.0000e-04 eta: 17:55:37 time: 0.7321 data_time: 0.0136 memory: 9310 loss_ce: 0.0136 loss: 0.0136 2022/09/16 08:30:46 - mmengine - INFO - Epoch(train) [3][13300/31614] lr: 3.0000e-04 eta: 17:54:18 time: 0.8048 data_time: 0.0716 memory: 9310 loss_ce: 0.0144 loss: 0.0144 2022/09/16 08:32:04 - mmengine - INFO - Epoch(train) [3][13400/31614] lr: 3.0000e-04 eta: 17:52:58 time: 0.7924 data_time: 0.0418 memory: 9310 loss_ce: 0.0177 loss: 0.0177 2022/09/16 08:33:22 - mmengine - INFO - Epoch(train) [3][13500/31614] lr: 3.0000e-04 eta: 17:51:38 time: 0.7579 data_time: 0.0022 memory: 9310 loss_ce: 0.0143 loss: 0.0143 2022/09/16 08:34:40 - mmengine - INFO - Epoch(train) [3][13600/31614] lr: 3.0000e-04 eta: 17:50:17 time: 0.7516 data_time: 0.0022 memory: 9310 loss_ce: 0.0177 loss: 0.0177 2022/09/16 08:35:57 - mmengine - INFO - Epoch(train) [3][13700/31614] lr: 3.0000e-04 eta: 17:48:56 time: 0.7360 data_time: 0.0146 memory: 9310 loss_ce: 0.0182 loss: 0.0182 2022/09/16 08:36:54 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 08:37:15 - mmengine - INFO - Epoch(train) [3][13800/31614] lr: 3.0000e-04 eta: 17:47:36 time: 0.7519 data_time: 0.0131 memory: 9310 loss_ce: 0.0149 loss: 0.0149 2022/09/16 08:38:33 - mmengine - INFO - Epoch(train) [3][13900/31614] lr: 3.0000e-04 eta: 17:46:16 time: 0.7818 data_time: 0.0430 memory: 9310 loss_ce: 0.0171 loss: 0.0171 2022/09/16 08:39:51 - mmengine - INFO - Epoch(train) [3][14000/31614] lr: 3.0000e-04 eta: 17:44:55 time: 0.8176 data_time: 0.0419 memory: 9310 loss_ce: 0.0179 loss: 0.0179 2022/09/16 08:41:08 - mmengine - INFO - Epoch(train) [3][14100/31614] lr: 3.0000e-04 eta: 17:43:34 time: 0.6995 data_time: 0.0022 memory: 9310 loss_ce: 0.0189 loss: 0.0189 2022/09/16 08:42:26 - mmengine - INFO - Epoch(train) [3][14200/31614] lr: 3.0000e-04 eta: 17:42:14 time: 0.7540 data_time: 0.0022 memory: 9310 loss_ce: 0.0182 loss: 0.0182 2022/09/16 08:43:45 - mmengine - INFO - Epoch(train) [3][14300/31614] lr: 3.0000e-04 eta: 17:40:55 time: 0.7859 data_time: 0.0127 memory: 9310 loss_ce: 0.0137 loss: 0.0137 2022/09/16 08:45:02 - mmengine - INFO - Epoch(train) [3][14400/31614] lr: 3.0000e-04 eta: 17:39:34 time: 0.7563 data_time: 0.0141 memory: 9310 loss_ce: 0.0180 loss: 0.0180 2022/09/16 08:46:21 - mmengine - INFO - Epoch(train) [3][14500/31614] lr: 3.0000e-04 eta: 17:38:15 time: 0.7570 data_time: 0.0424 memory: 9310 loss_ce: 0.0128 loss: 0.0128 2022/09/16 08:47:38 - mmengine - INFO - Epoch(train) [3][14600/31614] lr: 3.0000e-04 eta: 17:36:54 time: 0.8037 data_time: 0.0601 memory: 9310 loss_ce: 0.0136 loss: 0.0136 2022/09/16 08:48:56 - mmengine - INFO - Epoch(train) [3][14700/31614] lr: 3.0000e-04 eta: 17:35:34 time: 0.7651 data_time: 0.0023 memory: 9310 loss_ce: 0.0176 loss: 0.0176 2022/09/16 08:49:52 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 08:50:14 - mmengine - INFO - Epoch(train) [3][14800/31614] lr: 3.0000e-04 eta: 17:34:13 time: 0.7587 data_time: 0.0023 memory: 9310 loss_ce: 0.0181 loss: 0.0181 2022/09/16 08:51:32 - mmengine - INFO - Epoch(train) [3][14900/31614] lr: 3.0000e-04 eta: 17:32:53 time: 0.7826 data_time: 0.0383 memory: 9310 loss_ce: 0.0177 loss: 0.0177 2022/09/16 08:52:49 - mmengine - INFO - Epoch(train) [3][15000/31614] lr: 3.0000e-04 eta: 17:31:32 time: 0.7715 data_time: 0.0109 memory: 9310 loss_ce: 0.0162 loss: 0.0162 2022/09/16 08:54:07 - mmengine - INFO - Epoch(train) [3][15100/31614] lr: 3.0000e-04 eta: 17:30:12 time: 0.8046 data_time: 0.0413 memory: 9310 loss_ce: 0.0162 loss: 0.0162 2022/09/16 08:55:23 - mmengine - INFO - Epoch(train) [3][15200/31614] lr: 3.0000e-04 eta: 17:28:51 time: 0.8364 data_time: 0.0784 memory: 9310 loss_ce: 0.0143 loss: 0.0143 2022/09/16 08:56:41 - mmengine - INFO - Epoch(train) [3][15300/31614] lr: 3.0000e-04 eta: 17:27:30 time: 0.7564 data_time: 0.0022 memory: 9310 loss_ce: 0.0190 loss: 0.0190 2022/09/16 08:58:00 - mmengine - INFO - Epoch(train) [3][15400/31614] lr: 3.0000e-04 eta: 17:26:11 time: 0.7534 data_time: 0.0024 memory: 9310 loss_ce: 0.0197 loss: 0.0197 2022/09/16 08:59:19 - mmengine - INFO - Epoch(train) [3][15500/31614] lr: 3.0000e-04 eta: 17:24:52 time: 0.6951 data_time: 0.0145 memory: 9310 loss_ce: 0.0186 loss: 0.0186 2022/09/16 09:00:37 - mmengine - INFO - Epoch(train) [3][15600/31614] lr: 3.0000e-04 eta: 17:23:32 time: 0.7790 data_time: 0.0144 memory: 9310 loss_ce: 0.0125 loss: 0.0125 2022/09/16 09:01:56 - mmengine - INFO - Epoch(train) [3][15700/31614] lr: 3.0000e-04 eta: 17:22:13 time: 0.8405 data_time: 0.0721 memory: 9310 loss_ce: 0.0169 loss: 0.0169 2022/09/16 09:02:50 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 09:03:12 - mmengine - INFO - Epoch(train) [3][15800/31614] lr: 3.0000e-04 eta: 17:20:51 time: 0.8490 data_time: 0.0691 memory: 9310 loss_ce: 0.0152 loss: 0.0152 2022/09/16 09:04:29 - mmengine - INFO - Epoch(train) [3][15900/31614] lr: 3.0000e-04 eta: 17:19:30 time: 0.7530 data_time: 0.0022 memory: 9310 loss_ce: 0.0134 loss: 0.0134 2022/09/16 09:05:48 - mmengine - INFO - Epoch(train) [3][16000/31614] lr: 3.0000e-04 eta: 17:18:11 time: 0.7550 data_time: 0.0022 memory: 9310 loss_ce: 0.0160 loss: 0.0160 2022/09/16 09:07:05 - mmengine - INFO - Epoch(train) [3][16100/31614] lr: 3.0000e-04 eta: 17:16:50 time: 0.8245 data_time: 0.0519 memory: 9310 loss_ce: 0.0141 loss: 0.0141 2022/09/16 09:08:22 - mmengine - INFO - Epoch(train) [3][16200/31614] lr: 3.0000e-04 eta: 17:15:29 time: 0.7526 data_time: 0.0129 memory: 9310 loss_ce: 0.0203 loss: 0.0203 2022/09/16 09:09:40 - mmengine - INFO - Epoch(train) [3][16300/31614] lr: 3.0000e-04 eta: 17:14:09 time: 0.7639 data_time: 0.0472 memory: 9310 loss_ce: 0.0140 loss: 0.0140 2022/09/16 09:10:58 - mmengine - INFO - Epoch(train) [3][16400/31614] lr: 3.0000e-04 eta: 17:12:48 time: 0.7934 data_time: 0.0789 memory: 9310 loss_ce: 0.0176 loss: 0.0176 2022/09/16 09:12:13 - mmengine - INFO - Epoch(train) [3][16500/31614] lr: 3.0000e-04 eta: 17:11:26 time: 0.7570 data_time: 0.0022 memory: 9310 loss_ce: 0.0132 loss: 0.0132 2022/09/16 09:13:31 - mmengine - INFO - Epoch(train) [3][16600/31614] lr: 3.0000e-04 eta: 17:10:06 time: 0.7354 data_time: 0.0023 memory: 9310 loss_ce: 0.0164 loss: 0.0164 2022/09/16 09:14:49 - mmengine - INFO - Epoch(train) [3][16700/31614] lr: 3.0000e-04 eta: 17:08:46 time: 0.7522 data_time: 0.0137 memory: 9310 loss_ce: 0.0133 loss: 0.0133 2022/09/16 09:15:44 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 09:16:05 - mmengine - INFO - Epoch(train) [3][16800/31614] lr: 3.0000e-04 eta: 17:07:24 time: 0.6647 data_time: 0.0159 memory: 9310 loss_ce: 0.0187 loss: 0.0187 2022/09/16 09:17:24 - mmengine - INFO - Epoch(train) [3][16900/31614] lr: 3.0000e-04 eta: 17:06:04 time: 0.8397 data_time: 0.0803 memory: 9310 loss_ce: 0.0173 loss: 0.0173 2022/09/16 09:18:41 - mmengine - INFO - Epoch(train) [3][17000/31614] lr: 3.0000e-04 eta: 17:04:44 time: 0.7637 data_time: 0.0440 memory: 9310 loss_ce: 0.0154 loss: 0.0154 2022/09/16 09:19:59 - mmengine - INFO - Epoch(train) [3][17100/31614] lr: 3.0000e-04 eta: 17:03:24 time: 0.7784 data_time: 0.0031 memory: 9310 loss_ce: 0.0155 loss: 0.0155 2022/09/16 09:21:16 - mmengine - INFO - Epoch(train) [3][17200/31614] lr: 3.0000e-04 eta: 17:02:03 time: 0.7608 data_time: 0.0023 memory: 9310 loss_ce: 0.0158 loss: 0.0158 2022/09/16 09:22:33 - mmengine - INFO - Epoch(train) [3][17300/31614] lr: 3.0000e-04 eta: 17:00:42 time: 0.7529 data_time: 0.0113 memory: 9310 loss_ce: 0.0172 loss: 0.0172 2022/09/16 09:23:50 - mmengine - INFO - Epoch(train) [3][17400/31614] lr: 3.0000e-04 eta: 16:59:21 time: 0.7299 data_time: 0.0128 memory: 9310 loss_ce: 0.0181 loss: 0.0181 2022/09/16 09:25:08 - mmengine - INFO - Epoch(train) [3][17500/31614] lr: 3.0000e-04 eta: 16:58:01 time: 0.8315 data_time: 0.0472 memory: 9310 loss_ce: 0.0148 loss: 0.0148 2022/09/16 09:26:26 - mmengine - INFO - Epoch(train) [3][17600/31614] lr: 3.0000e-04 eta: 16:56:41 time: 0.8187 data_time: 0.0449 memory: 9310 loss_ce: 0.0140 loss: 0.0140 2022/09/16 09:27:43 - mmengine - INFO - Epoch(train) [3][17700/31614] lr: 3.0000e-04 eta: 16:55:21 time: 0.7362 data_time: 0.0021 memory: 9310 loss_ce: 0.0175 loss: 0.0175 2022/09/16 09:28:39 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 09:29:01 - mmengine - INFO - Epoch(train) [3][17800/31614] lr: 3.0000e-04 eta: 16:54:01 time: 0.7550 data_time: 0.0023 memory: 9310 loss_ce: 0.0182 loss: 0.0182 2022/09/16 09:30:19 - mmengine - INFO - Epoch(train) [3][17900/31614] lr: 3.0000e-04 eta: 16:52:40 time: 0.7533 data_time: 0.0117 memory: 9310 loss_ce: 0.0171 loss: 0.0171 2022/09/16 09:31:36 - mmengine - INFO - Epoch(train) [3][18000/31614] lr: 3.0000e-04 eta: 16:51:20 time: 0.7521 data_time: 0.0114 memory: 9310 loss_ce: 0.0209 loss: 0.0209 2022/09/16 09:32:55 - mmengine - INFO - Epoch(train) [3][18100/31614] lr: 3.0000e-04 eta: 16:50:00 time: 0.8153 data_time: 0.0477 memory: 9310 loss_ce: 0.0197 loss: 0.0197 2022/09/16 09:34:12 - mmengine - INFO - Epoch(train) [3][18200/31614] lr: 3.0000e-04 eta: 16:48:40 time: 0.7819 data_time: 0.0446 memory: 9310 loss_ce: 0.0185 loss: 0.0185 2022/09/16 09:35:30 - mmengine - INFO - Epoch(train) [3][18300/31614] lr: 3.0000e-04 eta: 16:47:20 time: 0.7201 data_time: 0.0025 memory: 9310 loss_ce: 0.0128 loss: 0.0128 2022/09/16 09:36:47 - mmengine - INFO - Epoch(train) [3][18400/31614] lr: 3.0000e-04 eta: 16:45:59 time: 0.7000 data_time: 0.0030 memory: 9310 loss_ce: 0.0173 loss: 0.0173 2022/09/16 09:38:05 - mmengine - INFO - Epoch(train) [3][18500/31614] lr: 3.0000e-04 eta: 16:44:39 time: 0.7565 data_time: 0.0122 memory: 9310 loss_ce: 0.0196 loss: 0.0196 2022/09/16 09:39:22 - mmengine - INFO - Epoch(train) [3][18600/31614] lr: 3.0000e-04 eta: 16:43:19 time: 0.7071 data_time: 0.0108 memory: 9310 loss_ce: 0.0193 loss: 0.0193 2022/09/16 09:40:41 - mmengine - INFO - Epoch(train) [3][18700/31614] lr: 3.0000e-04 eta: 16:42:00 time: 0.8345 data_time: 0.0848 memory: 9310 loss_ce: 0.0150 loss: 0.0150 2022/09/16 09:41:38 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 09:42:00 - mmengine - INFO - Epoch(train) [3][18800/31614] lr: 3.0000e-04 eta: 16:40:41 time: 0.8195 data_time: 0.0437 memory: 9310 loss_ce: 0.0159 loss: 0.0159 2022/09/16 09:43:18 - mmengine - INFO - Epoch(train) [3][18900/31614] lr: 3.0000e-04 eta: 16:39:21 time: 0.7680 data_time: 0.0022 memory: 9310 loss_ce: 0.0174 loss: 0.0174 2022/09/16 09:44:35 - mmengine - INFO - Epoch(train) [3][19000/31614] lr: 3.0000e-04 eta: 16:38:00 time: 0.7652 data_time: 0.0022 memory: 9310 loss_ce: 0.0161 loss: 0.0161 2022/09/16 09:45:53 - mmengine - INFO - Epoch(train) [3][19100/31614] lr: 3.0000e-04 eta: 16:36:40 time: 0.7575 data_time: 0.0119 memory: 9310 loss_ce: 0.0179 loss: 0.0179 2022/09/16 09:47:09 - mmengine - INFO - Epoch(train) [3][19200/31614] lr: 3.0000e-04 eta: 16:35:19 time: 0.7795 data_time: 0.0156 memory: 9310 loss_ce: 0.0190 loss: 0.0190 2022/09/16 09:48:27 - mmengine - INFO - Epoch(train) [3][19300/31614] lr: 3.0000e-04 eta: 16:33:58 time: 0.8378 data_time: 0.0736 memory: 9310 loss_ce: 0.0135 loss: 0.0135 2022/09/16 09:49:44 - mmengine - INFO - Epoch(train) [3][19400/31614] lr: 3.0000e-04 eta: 16:32:38 time: 0.8127 data_time: 0.0813 memory: 9310 loss_ce: 0.0200 loss: 0.0200 2022/09/16 09:51:02 - mmengine - INFO - Epoch(train) [3][19500/31614] lr: 3.0000e-04 eta: 16:31:18 time: 0.6921 data_time: 0.0023 memory: 9310 loss_ce: 0.0183 loss: 0.0183 2022/09/16 09:52:19 - mmengine - INFO - Epoch(train) [3][19600/31614] lr: 3.0000e-04 eta: 16:29:58 time: 0.7727 data_time: 0.0033 memory: 9310 loss_ce: 0.0205 loss: 0.0205 2022/09/16 09:53:38 - mmengine - INFO - Epoch(train) [3][19700/31614] lr: 3.0000e-04 eta: 16:28:38 time: 0.7361 data_time: 0.0116 memory: 9310 loss_ce: 0.0171 loss: 0.0171 2022/09/16 09:54:33 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 09:54:55 - mmengine - INFO - Epoch(train) [3][19800/31614] lr: 3.0000e-04 eta: 16:27:18 time: 0.7496 data_time: 0.0135 memory: 9310 loss_ce: 0.0162 loss: 0.0162 2022/09/16 09:56:14 - mmengine - INFO - Epoch(train) [3][19900/31614] lr: 3.0000e-04 eta: 16:25:58 time: 0.8355 data_time: 0.0752 memory: 9310 loss_ce: 0.0209 loss: 0.0209 2022/09/16 09:57:31 - mmengine - INFO - Epoch(train) [3][20000/31614] lr: 3.0000e-04 eta: 16:24:38 time: 0.8377 data_time: 0.0740 memory: 9310 loss_ce: 0.0157 loss: 0.0157 2022/09/16 09:58:47 - mmengine - INFO - Epoch(train) [3][20100/31614] lr: 3.0000e-04 eta: 16:23:17 time: 0.7030 data_time: 0.0022 memory: 9310 loss_ce: 0.0228 loss: 0.0228 2022/09/16 10:00:04 - mmengine - INFO - Epoch(train) [3][20200/31614] lr: 3.0000e-04 eta: 16:21:55 time: 0.7305 data_time: 0.0023 memory: 9310 loss_ce: 0.0177 loss: 0.0177 2022/09/16 10:01:22 - mmengine - INFO - Epoch(train) [3][20300/31614] lr: 3.0000e-04 eta: 16:20:36 time: 0.7846 data_time: 0.0246 memory: 9310 loss_ce: 0.0151 loss: 0.0151 2022/09/16 10:02:39 - mmengine - INFO - Epoch(train) [3][20400/31614] lr: 3.0000e-04 eta: 16:19:16 time: 0.7617 data_time: 0.0112 memory: 9310 loss_ce: 0.0163 loss: 0.0163 2022/09/16 10:03:57 - mmengine - INFO - Epoch(train) [3][20500/31614] lr: 3.0000e-04 eta: 16:17:55 time: 0.8406 data_time: 0.0767 memory: 9310 loss_ce: 0.0143 loss: 0.0143 2022/09/16 10:05:14 - mmengine - INFO - Epoch(train) [3][20600/31614] lr: 3.0000e-04 eta: 16:16:35 time: 0.8102 data_time: 0.0448 memory: 9310 loss_ce: 0.0151 loss: 0.0151 2022/09/16 10:06:33 - mmengine - INFO - Epoch(train) [3][20700/31614] lr: 3.0000e-04 eta: 16:15:16 time: 0.7545 data_time: 0.0025 memory: 9310 loss_ce: 0.0181 loss: 0.0181 2022/09/16 10:07:30 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 10:07:51 - mmengine - INFO - Epoch(train) [3][20800/31614] lr: 3.0000e-04 eta: 16:13:56 time: 0.7314 data_time: 0.0023 memory: 9310 loss_ce: 0.0128 loss: 0.0128 2022/09/16 10:09:08 - mmengine - INFO - Epoch(train) [3][20900/31614] lr: 3.0000e-04 eta: 16:12:35 time: 0.7024 data_time: 0.0123 memory: 9310 loss_ce: 0.0135 loss: 0.0135 2022/09/16 10:10:24 - mmengine - INFO - Epoch(train) [3][21000/31614] lr: 3.0000e-04 eta: 16:11:15 time: 0.7519 data_time: 0.0111 memory: 9310 loss_ce: 0.0173 loss: 0.0173 2022/09/16 10:11:41 - mmengine - INFO - Epoch(train) [3][21100/31614] lr: 3.0000e-04 eta: 16:09:54 time: 0.7899 data_time: 0.0745 memory: 9310 loss_ce: 0.0139 loss: 0.0139 2022/09/16 10:12:59 - mmengine - INFO - Epoch(train) [3][21200/31614] lr: 3.0000e-04 eta: 16:08:34 time: 0.7936 data_time: 0.0716 memory: 9310 loss_ce: 0.0188 loss: 0.0188 2022/09/16 10:14:17 - mmengine - INFO - Epoch(train) [3][21300/31614] lr: 3.0000e-04 eta: 16:07:14 time: 0.7525 data_time: 0.0021 memory: 9310 loss_ce: 0.0132 loss: 0.0132 2022/09/16 10:15:34 - mmengine - INFO - Epoch(train) [3][21400/31614] lr: 3.0000e-04 eta: 16:05:54 time: 0.7605 data_time: 0.0027 memory: 9310 loss_ce: 0.0188 loss: 0.0188 2022/09/16 10:16:51 - mmengine - INFO - Epoch(train) [3][21500/31614] lr: 3.0000e-04 eta: 16:04:33 time: 0.7690 data_time: 0.0115 memory: 9310 loss_ce: 0.0145 loss: 0.0145 2022/09/16 10:18:08 - mmengine - INFO - Epoch(train) [3][21600/31614] lr: 3.0000e-04 eta: 16:03:12 time: 0.7626 data_time: 0.0113 memory: 9310 loss_ce: 0.0196 loss: 0.0196 2022/09/16 10:19:25 - mmengine - INFO - Epoch(train) [3][21700/31614] lr: 3.0000e-04 eta: 16:01:52 time: 0.8066 data_time: 0.0507 memory: 9310 loss_ce: 0.0162 loss: 0.0162 2022/09/16 10:20:22 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 10:20:43 - mmengine - INFO - Epoch(train) [3][21800/31614] lr: 3.0000e-04 eta: 16:00:32 time: 0.8073 data_time: 0.0716 memory: 9310 loss_ce: 0.0180 loss: 0.0180 2022/09/16 10:22:00 - mmengine - INFO - Epoch(train) [3][21900/31614] lr: 3.0000e-04 eta: 15:59:11 time: 0.7578 data_time: 0.0020 memory: 9310 loss_ce: 0.0154 loss: 0.0154 2022/09/16 10:23:17 - mmengine - INFO - Epoch(train) [3][22000/31614] lr: 3.0000e-04 eta: 15:57:51 time: 0.7565 data_time: 0.0022 memory: 9310 loss_ce: 0.0190 loss: 0.0190 2022/09/16 10:24:35 - mmengine - INFO - Epoch(train) [3][22100/31614] lr: 3.0000e-04 eta: 15:56:31 time: 0.7745 data_time: 0.0126 memory: 9310 loss_ce: 0.0150 loss: 0.0150 2022/09/16 10:25:53 - mmengine - INFO - Epoch(train) [3][22200/31614] lr: 3.0000e-04 eta: 15:55:11 time: 0.7805 data_time: 0.0129 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 10:27:11 - mmengine - INFO - Epoch(train) [3][22300/31614] lr: 3.0000e-04 eta: 15:53:51 time: 0.8031 data_time: 0.0519 memory: 9310 loss_ce: 0.0147 loss: 0.0147 2022/09/16 10:28:28 - mmengine - INFO - Epoch(train) [3][22400/31614] lr: 3.0000e-04 eta: 15:52:31 time: 0.8233 data_time: 0.0427 memory: 9310 loss_ce: 0.0217 loss: 0.0217 2022/09/16 10:29:46 - mmengine - INFO - Epoch(train) [3][22500/31614] lr: 3.0000e-04 eta: 15:51:12 time: 0.7581 data_time: 0.0021 memory: 9310 loss_ce: 0.0143 loss: 0.0143 2022/09/16 10:31:02 - mmengine - INFO - Epoch(train) [3][22600/31614] lr: 3.0000e-04 eta: 15:49:51 time: 0.7530 data_time: 0.0022 memory: 9310 loss_ce: 0.0154 loss: 0.0154 2022/09/16 10:32:18 - mmengine - INFO - Epoch(train) [3][22700/31614] lr: 3.0000e-04 eta: 15:48:29 time: 0.7689 data_time: 0.0208 memory: 9310 loss_ce: 0.0156 loss: 0.0156 2022/09/16 10:33:14 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 10:33:36 - mmengine - INFO - Epoch(train) [3][22800/31614] lr: 3.0000e-04 eta: 15:47:09 time: 0.7473 data_time: 0.0205 memory: 9310 loss_ce: 0.0170 loss: 0.0170 2022/09/16 10:34:54 - mmengine - INFO - Epoch(train) [3][22900/31614] lr: 3.0000e-04 eta: 15:45:50 time: 0.8134 data_time: 0.0520 memory: 9310 loss_ce: 0.0182 loss: 0.0182 2022/09/16 10:36:10 - mmengine - INFO - Epoch(train) [3][23000/31614] lr: 3.0000e-04 eta: 15:44:29 time: 0.8464 data_time: 0.0631 memory: 9310 loss_ce: 0.0194 loss: 0.0194 2022/09/16 10:37:27 - mmengine - INFO - Epoch(train) [3][23100/31614] lr: 3.0000e-04 eta: 15:43:08 time: 0.7529 data_time: 0.0021 memory: 9310 loss_ce: 0.0166 loss: 0.0166 2022/09/16 10:38:44 - mmengine - INFO - Epoch(train) [3][23200/31614] lr: 3.0000e-04 eta: 15:41:47 time: 0.7649 data_time: 0.0022 memory: 9310 loss_ce: 0.0209 loss: 0.0209 2022/09/16 10:40:01 - mmengine - INFO - Epoch(train) [3][23300/31614] lr: 3.0000e-04 eta: 15:40:27 time: 0.7788 data_time: 0.0485 memory: 9310 loss_ce: 0.0150 loss: 0.0150 2022/09/16 10:41:18 - mmengine - INFO - Epoch(train) [3][23400/31614] lr: 3.0000e-04 eta: 15:39:06 time: 0.7185 data_time: 0.0196 memory: 9310 loss_ce: 0.0136 loss: 0.0136 2022/09/16 10:42:35 - mmengine - INFO - Epoch(train) [3][23500/31614] lr: 3.0000e-04 eta: 15:37:46 time: 0.8177 data_time: 0.0777 memory: 9310 loss_ce: 0.0159 loss: 0.0159 2022/09/16 10:43:52 - mmengine - INFO - Epoch(train) [3][23600/31614] lr: 3.0000e-04 eta: 15:36:26 time: 0.7746 data_time: 0.0362 memory: 9310 loss_ce: 0.0160 loss: 0.0160 2022/09/16 10:45:10 - mmengine - INFO - Epoch(train) [3][23700/31614] lr: 3.0000e-04 eta: 15:35:06 time: 0.7768 data_time: 0.0021 memory: 9310 loss_ce: 0.0164 loss: 0.0164 2022/09/16 10:46:05 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 10:46:27 - mmengine - INFO - Epoch(train) [3][23800/31614] lr: 3.0000e-04 eta: 15:33:45 time: 0.7666 data_time: 0.0022 memory: 9310 loss_ce: 0.0160 loss: 0.0160 2022/09/16 10:47:45 - mmengine - INFO - Epoch(train) [3][23900/31614] lr: 3.0000e-04 eta: 15:32:26 time: 0.7739 data_time: 0.0203 memory: 9310 loss_ce: 0.0145 loss: 0.0145 2022/09/16 10:49:02 - mmengine - INFO - Epoch(train) [3][24000/31614] lr: 3.0000e-04 eta: 15:31:06 time: 0.7253 data_time: 0.0202 memory: 9310 loss_ce: 0.0179 loss: 0.0179 2022/09/16 10:50:20 - mmengine - INFO - Epoch(train) [3][24100/31614] lr: 3.0000e-04 eta: 15:29:46 time: 0.8493 data_time: 0.0516 memory: 9310 loss_ce: 0.0177 loss: 0.0177 2022/09/16 10:51:37 - mmengine - INFO - Epoch(train) [3][24200/31614] lr: 3.0000e-04 eta: 15:28:26 time: 0.7846 data_time: 0.0354 memory: 9310 loss_ce: 0.0175 loss: 0.0175 2022/09/16 10:52:54 - mmengine - INFO - Epoch(train) [3][24300/31614] lr: 3.0000e-04 eta: 15:27:05 time: 0.6675 data_time: 0.0022 memory: 9310 loss_ce: 0.0138 loss: 0.0138 2022/09/16 10:54:12 - mmengine - INFO - Epoch(train) [3][24400/31614] lr: 3.0000e-04 eta: 15:25:46 time: 0.7540 data_time: 0.0025 memory: 9310 loss_ce: 0.0236 loss: 0.0236 2022/09/16 10:55:28 - mmengine - INFO - Epoch(train) [3][24500/31614] lr: 3.0000e-04 eta: 15:24:24 time: 0.7141 data_time: 0.0195 memory: 9310 loss_ce: 0.0165 loss: 0.0165 2022/09/16 10:56:46 - mmengine - INFO - Epoch(train) [3][24600/31614] lr: 3.0000e-04 eta: 15:23:05 time: 0.8165 data_time: 0.0530 memory: 9310 loss_ce: 0.0150 loss: 0.0150 2022/09/16 10:58:04 - mmengine - INFO - Epoch(train) [3][24700/31614] lr: 3.0000e-04 eta: 15:21:45 time: 0.8077 data_time: 0.0511 memory: 9310 loss_ce: 0.0172 loss: 0.0172 2022/09/16 10:59:00 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 10:59:21 - mmengine - INFO - Epoch(train) [3][24800/31614] lr: 3.0000e-04 eta: 15:20:25 time: 0.7815 data_time: 0.0378 memory: 9310 loss_ce: 0.0167 loss: 0.0167 2022/09/16 11:00:37 - mmengine - INFO - Epoch(train) [3][24900/31614] lr: 3.0000e-04 eta: 15:19:04 time: 0.7667 data_time: 0.0020 memory: 9310 loss_ce: 0.0170 loss: 0.0170 2022/09/16 11:01:55 - mmengine - INFO - Epoch(train) [3][25000/31614] lr: 3.0000e-04 eta: 15:17:45 time: 0.7538 data_time: 0.0044 memory: 9310 loss_ce: 0.0153 loss: 0.0153 2022/09/16 11:03:12 - mmengine - INFO - Epoch(train) [3][25100/31614] lr: 3.0000e-04 eta: 15:16:24 time: 0.7506 data_time: 0.0518 memory: 9310 loss_ce: 0.0161 loss: 0.0161 2022/09/16 11:04:29 - mmengine - INFO - Epoch(train) [3][25200/31614] lr: 3.0000e-04 eta: 15:15:03 time: 0.7439 data_time: 0.0191 memory: 9310 loss_ce: 0.0160 loss: 0.0160 2022/09/16 11:05:46 - mmengine - INFO - Epoch(train) [3][25300/31614] lr: 3.0000e-04 eta: 15:13:44 time: 0.8062 data_time: 0.0485 memory: 9310 loss_ce: 0.0150 loss: 0.0150 2022/09/16 11:07:05 - mmengine - INFO - Epoch(train) [3][25400/31614] lr: 3.0000e-04 eta: 15:12:25 time: 0.8119 data_time: 0.0642 memory: 9310 loss_ce: 0.0157 loss: 0.0157 2022/09/16 11:08:21 - mmengine - INFO - Epoch(train) [3][25500/31614] lr: 3.0000e-04 eta: 15:11:04 time: 0.6451 data_time: 0.0021 memory: 9310 loss_ce: 0.0157 loss: 0.0157 2022/09/16 11:09:37 - mmengine - INFO - Epoch(train) [3][25600/31614] lr: 3.0000e-04 eta: 15:09:43 time: 0.7613 data_time: 0.0049 memory: 9310 loss_ce: 0.0198 loss: 0.0198 2022/09/16 11:10:54 - mmengine - INFO - Epoch(train) [3][25700/31614] lr: 3.0000e-04 eta: 15:08:23 time: 0.6973 data_time: 0.0212 memory: 9310 loss_ce: 0.0187 loss: 0.0187 2022/09/16 11:11:49 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 11:12:11 - mmengine - INFO - Epoch(train) [3][25800/31614] lr: 3.0000e-04 eta: 15:07:02 time: 0.7663 data_time: 0.0197 memory: 9310 loss_ce: 0.0176 loss: 0.0176 2022/09/16 11:13:29 - mmengine - INFO - Epoch(train) [3][25900/31614] lr: 3.0000e-04 eta: 15:05:42 time: 0.8501 data_time: 0.0768 memory: 9310 loss_ce: 0.0169 loss: 0.0169 2022/09/16 11:14:45 - mmengine - INFO - Epoch(train) [3][26000/31614] lr: 3.0000e-04 eta: 15:04:22 time: 0.7888 data_time: 0.0372 memory: 9310 loss_ce: 0.0185 loss: 0.0185 2022/09/16 11:16:03 - mmengine - INFO - Epoch(train) [3][26100/31614] lr: 3.0000e-04 eta: 15:03:02 time: 0.7908 data_time: 0.0024 memory: 9310 loss_ce: 0.0163 loss: 0.0163 2022/09/16 11:17:21 - mmengine - INFO - Epoch(train) [3][26200/31614] lr: 3.0000e-04 eta: 15:01:43 time: 0.7556 data_time: 0.0047 memory: 9310 loss_ce: 0.0138 loss: 0.0138 2022/09/16 11:18:37 - mmengine - INFO - Epoch(train) [3][26300/31614] lr: 3.0000e-04 eta: 15:00:21 time: 0.7585 data_time: 0.0220 memory: 9310 loss_ce: 0.0218 loss: 0.0218 2022/09/16 11:19:55 - mmengine - INFO - Epoch(train) [3][26400/31614] lr: 3.0000e-04 eta: 14:59:03 time: 0.7646 data_time: 0.0199 memory: 9310 loss_ce: 0.0143 loss: 0.0143 2022/09/16 11:21:14 - mmengine - INFO - Epoch(train) [3][26500/31614] lr: 3.0000e-04 eta: 14:57:43 time: 0.8362 data_time: 0.0764 memory: 9310 loss_ce: 0.0180 loss: 0.0180 2022/09/16 11:22:30 - mmengine - INFO - Epoch(train) [3][26600/31614] lr: 3.0000e-04 eta: 14:56:23 time: 0.7820 data_time: 0.0383 memory: 9310 loss_ce: 0.0166 loss: 0.0166 2022/09/16 11:23:48 - mmengine - INFO - Epoch(train) [3][26700/31614] lr: 3.0000e-04 eta: 14:55:03 time: 0.7557 data_time: 0.0022 memory: 9310 loss_ce: 0.0195 loss: 0.0195 2022/09/16 11:24:44 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 11:25:06 - mmengine - INFO - Epoch(train) [3][26800/31614] lr: 3.0000e-04 eta: 14:53:43 time: 0.7546 data_time: 0.0048 memory: 9310 loss_ce: 0.0188 loss: 0.0188 2022/09/16 11:26:22 - mmengine - INFO - Epoch(train) [3][26900/31614] lr: 3.0000e-04 eta: 14:52:23 time: 0.7848 data_time: 0.0235 memory: 9310 loss_ce: 0.0163 loss: 0.0163 2022/09/16 11:27:39 - mmengine - INFO - Epoch(train) [3][27000/31614] lr: 3.0000e-04 eta: 14:51:03 time: 0.7792 data_time: 0.0573 memory: 9310 loss_ce: 0.0146 loss: 0.0146 2022/09/16 11:28:57 - mmengine - INFO - Epoch(train) [3][27100/31614] lr: 3.0000e-04 eta: 14:49:43 time: 0.8167 data_time: 0.0506 memory: 9310 loss_ce: 0.0137 loss: 0.0137 2022/09/16 11:30:15 - mmengine - INFO - Epoch(train) [3][27200/31614] lr: 3.0000e-04 eta: 14:48:24 time: 0.8145 data_time: 0.0637 memory: 9310 loss_ce: 0.0158 loss: 0.0158 2022/09/16 11:31:32 - mmengine - INFO - Epoch(train) [3][27300/31614] lr: 3.0000e-04 eta: 14:47:03 time: 0.7626 data_time: 0.0021 memory: 9310 loss_ce: 0.0192 loss: 0.0192 2022/09/16 11:32:49 - mmengine - INFO - Epoch(train) [3][27400/31614] lr: 3.0000e-04 eta: 14:45:44 time: 0.7633 data_time: 0.0045 memory: 9310 loss_ce: 0.0202 loss: 0.0202 2022/09/16 11:34:07 - mmengine - INFO - Epoch(train) [3][27500/31614] lr: 3.0000e-04 eta: 14:44:24 time: 0.8009 data_time: 0.0583 memory: 9310 loss_ce: 0.0196 loss: 0.0196 2022/09/16 11:35:24 - mmengine - INFO - Epoch(train) [3][27600/31614] lr: 3.0000e-04 eta: 14:43:03 time: 0.7524 data_time: 0.0210 memory: 9310 loss_ce: 0.0156 loss: 0.0156 2022/09/16 11:36:41 - mmengine - INFO - Epoch(train) [3][27700/31614] lr: 3.0000e-04 eta: 14:41:43 time: 0.8384 data_time: 0.0877 memory: 9310 loss_ce: 0.0134 loss: 0.0134 2022/09/16 11:37:36 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 11:37:57 - mmengine - INFO - Epoch(train) [3][27800/31614] lr: 3.0000e-04 eta: 14:40:23 time: 0.7571 data_time: 0.0360 memory: 9310 loss_ce: 0.0145 loss: 0.0145 2022/09/16 11:39:14 - mmengine - INFO - Epoch(train) [3][27900/31614] lr: 3.0000e-04 eta: 14:39:02 time: 0.6999 data_time: 0.0025 memory: 9310 loss_ce: 0.0154 loss: 0.0154 2022/09/16 11:40:31 - mmengine - INFO - Epoch(train) [3][28000/31614] lr: 3.0000e-04 eta: 14:37:43 time: 0.7560 data_time: 0.0049 memory: 9310 loss_ce: 0.0131 loss: 0.0131 2022/09/16 11:41:47 - mmengine - INFO - Epoch(train) [3][28100/31614] lr: 3.0000e-04 eta: 14:36:22 time: 0.7833 data_time: 0.0207 memory: 9310 loss_ce: 0.0159 loss: 0.0159 2022/09/16 11:43:03 - mmengine - INFO - Epoch(train) [3][28200/31614] lr: 3.0000e-04 eta: 14:35:01 time: 0.6639 data_time: 0.0212 memory: 9310 loss_ce: 0.0177 loss: 0.0177 2022/09/16 11:44:22 - mmengine - INFO - Epoch(train) [3][28300/31614] lr: 3.0000e-04 eta: 14:33:42 time: 0.8718 data_time: 0.0534 memory: 9310 loss_ce: 0.0170 loss: 0.0170 2022/09/16 11:45:37 - mmengine - INFO - Epoch(train) [3][28400/31614] lr: 3.0000e-04 eta: 14:32:21 time: 0.7844 data_time: 0.0358 memory: 9310 loss_ce: 0.0155 loss: 0.0155 2022/09/16 11:46:53 - mmengine - INFO - Epoch(train) [3][28500/31614] lr: 3.0000e-04 eta: 14:31:00 time: 0.7621 data_time: 0.0022 memory: 9310 loss_ce: 0.0172 loss: 0.0172 2022/09/16 11:48:13 - mmengine - INFO - Epoch(train) [3][28600/31614] lr: 3.0000e-04 eta: 14:29:42 time: 0.7541 data_time: 0.0045 memory: 9310 loss_ce: 0.0153 loss: 0.0153 2022/09/16 11:49:29 - mmengine - INFO - Epoch(train) [3][28700/31614] lr: 3.0000e-04 eta: 14:28:21 time: 0.7157 data_time: 0.0220 memory: 9310 loss_ce: 0.0176 loss: 0.0176 2022/09/16 11:50:24 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 11:50:45 - mmengine - INFO - Epoch(train) [3][28800/31614] lr: 3.0000e-04 eta: 14:27:00 time: 0.7812 data_time: 0.0200 memory: 9310 loss_ce: 0.0151 loss: 0.0151 2022/09/16 11:52:03 - mmengine - INFO - Epoch(train) [3][28900/31614] lr: 3.0000e-04 eta: 14:25:41 time: 0.7803 data_time: 0.0507 memory: 9310 loss_ce: 0.0171 loss: 0.0171 2022/09/16 11:53:20 - mmengine - INFO - Epoch(train) [3][29000/31614] lr: 3.0000e-04 eta: 14:24:21 time: 0.8293 data_time: 0.0377 memory: 9310 loss_ce: 0.0184 loss: 0.0184 2022/09/16 11:54:35 - mmengine - INFO - Epoch(train) [3][29100/31614] lr: 3.0000e-04 eta: 14:22:59 time: 0.7555 data_time: 0.0022 memory: 9310 loss_ce: 0.0153 loss: 0.0153 2022/09/16 11:55:53 - mmengine - INFO - Epoch(train) [3][29200/31614] lr: 3.0000e-04 eta: 14:21:40 time: 0.7644 data_time: 0.0046 memory: 9310 loss_ce: 0.0175 loss: 0.0175 2022/09/16 11:57:10 - mmengine - INFO - Epoch(train) [3][29300/31614] lr: 3.0000e-04 eta: 14:20:20 time: 0.7332 data_time: 0.0198 memory: 9310 loss_ce: 0.0160 loss: 0.0160 2022/09/16 11:58:28 - mmengine - INFO - Epoch(train) [3][29400/31614] lr: 3.0000e-04 eta: 14:19:01 time: 0.7430 data_time: 0.0210 memory: 9310 loss_ce: 0.0164 loss: 0.0164 2022/09/16 11:59:45 - mmengine - INFO - Epoch(train) [3][29500/31614] lr: 3.0000e-04 eta: 14:17:41 time: 0.8149 data_time: 0.0547 memory: 9310 loss_ce: 0.0164 loss: 0.0164 2022/09/16 12:01:04 - mmengine - INFO - Epoch(train) [3][29600/31614] lr: 3.0000e-04 eta: 14:16:22 time: 0.8525 data_time: 0.0712 memory: 9310 loss_ce: 0.0157 loss: 0.0157 2022/09/16 12:02:22 - mmengine - INFO - Epoch(train) [3][29700/31614] lr: 3.0000e-04 eta: 14:15:03 time: 0.7582 data_time: 0.0024 memory: 9310 loss_ce: 0.0194 loss: 0.0194 2022/09/16 12:03:17 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 12:03:38 - mmengine - INFO - Epoch(train) [3][29800/31614] lr: 3.0000e-04 eta: 14:13:42 time: 0.7573 data_time: 0.0023 memory: 9310 loss_ce: 0.0143 loss: 0.0143 2022/09/16 12:04:54 - mmengine - INFO - Epoch(train) [3][29900/31614] lr: 3.0000e-04 eta: 14:12:22 time: 0.7743 data_time: 0.0178 memory: 9310 loss_ce: 0.0172 loss: 0.0172 2022/09/16 12:06:10 - mmengine - INFO - Epoch(train) [3][30000/31614] lr: 3.0000e-04 eta: 14:11:01 time: 0.7508 data_time: 0.0224 memory: 9310 loss_ce: 0.0153 loss: 0.0153 2022/09/16 12:07:29 - mmengine - INFO - Epoch(train) [3][30100/31614] lr: 3.0000e-04 eta: 14:09:42 time: 0.9618 data_time: 0.1061 memory: 9310 loss_ce: 0.0151 loss: 0.0151 2022/09/16 12:08:41 - mmengine - INFO - Epoch(train) [3][30200/31614] lr: 3.0000e-04 eta: 14:08:19 time: 0.7843 data_time: 0.0361 memory: 9310 loss_ce: 0.0140 loss: 0.0140 2022/09/16 12:09:56 - mmengine - INFO - Epoch(train) [3][30300/31614] lr: 3.0000e-04 eta: 14:06:57 time: 0.5983 data_time: 0.0024 memory: 9310 loss_ce: 0.0187 loss: 0.0187 2022/09/16 12:11:14 - mmengine - INFO - Epoch(train) [3][30400/31614] lr: 3.0000e-04 eta: 14:05:38 time: 0.7525 data_time: 0.0021 memory: 9310 loss_ce: 0.0152 loss: 0.0152 2022/09/16 12:12:33 - mmengine - INFO - Epoch(train) [3][30500/31614] lr: 3.0000e-04 eta: 14:04:19 time: 0.7268 data_time: 0.0213 memory: 9310 loss_ce: 0.0150 loss: 0.0150 2022/09/16 12:13:50 - mmengine - INFO - Epoch(train) [3][30600/31614] lr: 3.0000e-04 eta: 14:03:00 time: 0.7347 data_time: 0.0230 memory: 9310 loss_ce: 0.0149 loss: 0.0149 2022/09/16 12:15:08 - mmengine - INFO - Epoch(train) [3][30700/31614] lr: 3.0000e-04 eta: 14:01:41 time: 0.8161 data_time: 0.0509 memory: 9310 loss_ce: 0.0125 loss: 0.0125 2022/09/16 12:16:04 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 12:16:26 - mmengine - INFO - Epoch(train) [3][30800/31614] lr: 3.0000e-04 eta: 14:00:21 time: 0.8149 data_time: 0.0514 memory: 9310 loss_ce: 0.0174 loss: 0.0174 2022/09/16 12:17:45 - mmengine - INFO - Epoch(train) [3][30900/31614] lr: 3.0000e-04 eta: 13:59:03 time: 0.7928 data_time: 0.0025 memory: 9310 loss_ce: 0.0148 loss: 0.0148 2022/09/16 12:19:03 - mmengine - INFO - Epoch(train) [3][31000/31614] lr: 3.0000e-04 eta: 13:57:43 time: 0.7151 data_time: 0.0037 memory: 9310 loss_ce: 0.0179 loss: 0.0179 2022/09/16 12:20:22 - mmengine - INFO - Epoch(train) [3][31100/31614] lr: 3.0000e-04 eta: 13:56:25 time: 0.7801 data_time: 0.0220 memory: 9310 loss_ce: 0.0132 loss: 0.0132 2022/09/16 12:21:40 - mmengine - INFO - Epoch(train) [3][31200/31614] lr: 3.0000e-04 eta: 13:55:06 time: 0.7853 data_time: 0.0265 memory: 9310 loss_ce: 0.0174 loss: 0.0174 2022/09/16 12:23:00 - mmengine - INFO - Epoch(train) [3][31300/31614] lr: 3.0000e-04 eta: 13:53:47 time: 0.7950 data_time: 0.0762 memory: 9310 loss_ce: 0.0142 loss: 0.0142 2022/09/16 12:24:16 - mmengine - INFO - Epoch(train) [3][31400/31614] lr: 3.0000e-04 eta: 13:52:27 time: 0.7889 data_time: 0.0375 memory: 9310 loss_ce: 0.0164 loss: 0.0164 2022/09/16 12:25:35 - mmengine - INFO - Epoch(train) [3][31500/31614] lr: 3.0000e-04 eta: 13:51:09 time: 0.7500 data_time: 0.0021 memory: 9310 loss_ce: 0.0151 loss: 0.0151 2022/09/16 12:26:54 - mmengine - INFO - Epoch(train) [3][31600/31614] lr: 3.0000e-04 eta: 13:49:50 time: 0.7645 data_time: 0.0027 memory: 9310 loss_ce: 0.0169 loss: 0.0169 2022/09/16 12:27:05 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 12:27:05 - mmengine - INFO - Saving checkpoint at 3 epochs 2022/09/16 12:27:47 - mmengine - INFO - Epoch(val) [3][100/1918] eta: 0:04:56 time: 0.1630 data_time: 0.0017 memory: 9310 2022/09/16 12:28:03 - mmengine - INFO - Epoch(val) [3][200/1918] eta: 0:04:32 time: 0.1583 data_time: 0.0005 memory: 230 2022/09/16 12:28:19 - mmengine - INFO - Epoch(val) [3][300/1918] eta: 0:04:11 time: 0.1557 data_time: 0.0005 memory: 230 2022/09/16 12:28:34 - mmengine - INFO - Epoch(val) [3][400/1918] eta: 0:03:56 time: 0.1557 data_time: 0.0007 memory: 230 2022/09/16 12:28:50 - mmengine - INFO - Epoch(val) [3][500/1918] eta: 0:03:41 time: 0.1564 data_time: 0.0006 memory: 230 2022/09/16 12:29:06 - mmengine - INFO - Epoch(val) [3][600/1918] eta: 0:03:25 time: 0.1556 data_time: 0.0005 memory: 230 2022/09/16 12:29:21 - mmengine - INFO - Epoch(val) [3][700/1918] eta: 0:03:06 time: 0.1535 data_time: 0.0006 memory: 230 2022/09/16 12:29:37 - mmengine - INFO - Epoch(val) [3][800/1918] eta: 0:02:55 time: 0.1572 data_time: 0.0006 memory: 230 2022/09/16 12:29:53 - mmengine - INFO - Epoch(val) [3][900/1918] eta: 0:02:37 time: 0.1549 data_time: 0.0006 memory: 230 2022/09/16 12:30:08 - mmengine - INFO - Epoch(val) [3][1000/1918] eta: 0:02:22 time: 0.1556 data_time: 0.0021 memory: 230 2022/09/16 12:30:24 - mmengine - INFO - Epoch(val) [3][1100/1918] eta: 0:02:06 time: 0.1547 data_time: 0.0005 memory: 230 2022/09/16 12:30:40 - mmengine - INFO - Epoch(val) [3][1200/1918] eta: 0:01:50 time: 0.1543 data_time: 0.0005 memory: 230 2022/09/16 12:30:55 - mmengine - INFO - Epoch(val) [3][1300/1918] eta: 0:01:35 time: 0.1553 data_time: 0.0005 memory: 230 2022/09/16 12:31:11 - mmengine - INFO - Epoch(val) [3][1400/1918] eta: 0:01:20 time: 0.1548 data_time: 0.0005 memory: 230 2022/09/16 12:31:26 - mmengine - INFO - Epoch(val) [3][1500/1918] eta: 0:01:04 time: 0.1549 data_time: 0.0005 memory: 230 2022/09/16 12:31:42 - mmengine - INFO - Epoch(val) [3][1600/1918] eta: 0:00:49 time: 0.1546 data_time: 0.0005 memory: 230 2022/09/16 12:31:58 - mmengine - INFO - Epoch(val) [3][1700/1918] eta: 0:00:33 time: 0.1558 data_time: 0.0006 memory: 230 2022/09/16 12:32:14 - mmengine - INFO - Epoch(val) [3][1800/1918] eta: 0:00:18 time: 0.1575 data_time: 0.0006 memory: 230 2022/09/16 12:32:29 - mmengine - INFO - Epoch(val) [3][1900/1918] eta: 0:00:02 time: 0.1547 data_time: 0.0004 memory: 230 2022/09/16 12:32:33 - mmengine - INFO - Epoch(val) [3][1918/1918] CUTE80/recog/word_acc_ignore_case_symbol: 0.8090 IIIT5K/recog/word_acc_ignore_case_symbol: 0.9363 SVT/recog/word_acc_ignore_case_symbol: 0.8934 SVTP/recog/word_acc_ignore_case_symbol: 0.8357 IC13/recog/word_acc_ignore_case_symbol: 0.9419 IC15/recog/word_acc_ignore_case_symbol: 0.7679 2022/09/16 12:33:56 - mmengine - INFO - Epoch(train) [4][100/31614] lr: 3.0000e-05 eta: 13:48:21 time: 0.7832 data_time: 0.0461 memory: 9310 loss_ce: 0.0151 loss: 0.0151 2022/09/16 12:34:40 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 12:35:14 - mmengine - INFO - Epoch(train) [4][200/31614] lr: 3.0000e-05 eta: 13:47:02 time: 0.8170 data_time: 0.0459 memory: 9310 loss_ce: 0.0126 loss: 0.0126 2022/09/16 12:36:33 - mmengine - INFO - Epoch(train) [4][300/31614] lr: 3.0000e-05 eta: 13:45:44 time: 0.7532 data_time: 0.0021 memory: 9310 loss_ce: 0.0126 loss: 0.0126 2022/09/16 12:37:50 - mmengine - INFO - Epoch(train) [4][400/31614] lr: 3.0000e-05 eta: 13:44:24 time: 0.7249 data_time: 0.0082 memory: 9310 loss_ce: 0.0113 loss: 0.0113 2022/09/16 12:39:08 - mmengine - INFO - Epoch(train) [4][500/31614] lr: 3.0000e-05 eta: 13:43:04 time: 0.7514 data_time: 0.0092 memory: 9310 loss_ce: 0.0105 loss: 0.0105 2022/09/16 12:40:25 - mmengine - INFO - Epoch(train) [4][600/31614] lr: 3.0000e-05 eta: 13:41:45 time: 0.8339 data_time: 0.0464 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/16 12:41:41 - mmengine - INFO - Epoch(train) [4][700/31614] lr: 3.0000e-05 eta: 13:40:24 time: 0.8144 data_time: 0.0460 memory: 9310 loss_ce: 0.0141 loss: 0.0141 2022/09/16 12:42:59 - mmengine - INFO - Epoch(train) [4][800/31614] lr: 3.0000e-05 eta: 13:39:05 time: 0.8447 data_time: 0.0805 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 12:44:18 - mmengine - INFO - Epoch(train) [4][900/31614] lr: 3.0000e-05 eta: 13:37:46 time: 0.7579 data_time: 0.0022 memory: 9310 loss_ce: 0.0136 loss: 0.0136 2022/09/16 12:45:34 - mmengine - INFO - Epoch(train) [4][1000/31614] lr: 3.0000e-05 eta: 13:36:26 time: 0.7180 data_time: 0.0087 memory: 9310 loss_ce: 0.0106 loss: 0.0106 2022/09/16 12:46:52 - mmengine - INFO - Epoch(train) [4][1100/31614] lr: 3.0000e-05 eta: 13:35:07 time: 0.7614 data_time: 0.0104 memory: 9310 loss_ce: 0.0131 loss: 0.0131 2022/09/16 12:47:38 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 12:48:10 - mmengine - INFO - Epoch(train) [4][1200/31614] lr: 3.0000e-05 eta: 13:33:47 time: 0.7607 data_time: 0.0087 memory: 9310 loss_ce: 0.0156 loss: 0.0156 2022/09/16 12:49:28 - mmengine - INFO - Epoch(train) [4][1300/31614] lr: 3.0000e-05 eta: 13:32:28 time: 0.8157 data_time: 0.0521 memory: 9310 loss_ce: 0.0132 loss: 0.0132 2022/09/16 12:50:45 - mmengine - INFO - Epoch(train) [4][1400/31614] lr: 3.0000e-05 eta: 13:31:09 time: 0.8193 data_time: 0.0756 memory: 9310 loss_ce: 0.0143 loss: 0.0143 2022/09/16 12:52:03 - mmengine - INFO - Epoch(train) [4][1500/31614] lr: 3.0000e-05 eta: 13:29:49 time: 0.6997 data_time: 0.0020 memory: 9310 loss_ce: 0.0154 loss: 0.0154 2022/09/16 12:53:20 - mmengine - INFO - Epoch(train) [4][1600/31614] lr: 3.0000e-05 eta: 13:28:29 time: 0.7553 data_time: 0.0112 memory: 9310 loss_ce: 0.0141 loss: 0.0141 2022/09/16 12:54:37 - mmengine - INFO - Epoch(train) [4][1700/31614] lr: 3.0000e-05 eta: 13:27:09 time: 0.7430 data_time: 0.0119 memory: 9310 loss_ce: 0.0111 loss: 0.0111 2022/09/16 12:55:54 - mmengine - INFO - Epoch(train) [4][1800/31614] lr: 3.0000e-05 eta: 13:25:50 time: 0.7377 data_time: 0.0112 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/16 12:57:12 - mmengine - INFO - Epoch(train) [4][1900/31614] lr: 3.0000e-05 eta: 13:24:31 time: 0.8366 data_time: 0.0802 memory: 9310 loss_ce: 0.0144 loss: 0.0144 2022/09/16 12:58:29 - mmengine - INFO - Epoch(train) [4][2000/31614] lr: 3.0000e-05 eta: 13:23:11 time: 0.8124 data_time: 0.0631 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/16 12:59:48 - mmengine - INFO - Epoch(train) [4][2100/31614] lr: 3.0000e-05 eta: 13:21:52 time: 0.7568 data_time: 0.0022 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 13:00:32 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 13:01:05 - mmengine - INFO - Epoch(train) [4][2200/31614] lr: 3.0000e-05 eta: 13:20:32 time: 0.7819 data_time: 0.0391 memory: 9310 loss_ce: 0.0171 loss: 0.0171 2022/09/16 13:02:24 - mmengine - INFO - Epoch(train) [4][2300/31614] lr: 3.0000e-05 eta: 13:19:14 time: 0.7859 data_time: 0.0108 memory: 9310 loss_ce: 0.0175 loss: 0.0175 2022/09/16 13:03:42 - mmengine - INFO - Epoch(train) [4][2400/31614] lr: 3.0000e-05 eta: 13:17:55 time: 0.7519 data_time: 0.0125 memory: 9310 loss_ce: 0.0123 loss: 0.0123 2022/09/16 13:05:01 - mmengine - INFO - Epoch(train) [4][2500/31614] lr: 3.0000e-05 eta: 13:16:36 time: 0.8461 data_time: 0.0762 memory: 9310 loss_ce: 0.0166 loss: 0.0166 2022/09/16 13:06:19 - mmengine - INFO - Epoch(train) [4][2600/31614] lr: 3.0000e-05 eta: 13:15:17 time: 0.8397 data_time: 0.0673 memory: 9310 loss_ce: 0.0134 loss: 0.0134 2022/09/16 13:07:37 - mmengine - INFO - Epoch(train) [4][2700/31614] lr: 3.0000e-05 eta: 13:13:58 time: 0.7657 data_time: 0.0022 memory: 9310 loss_ce: 0.0106 loss: 0.0106 2022/09/16 13:08:57 - mmengine - INFO - Epoch(train) [4][2800/31614] lr: 3.0000e-05 eta: 13:12:40 time: 0.7841 data_time: 0.0144 memory: 9310 loss_ce: 0.0123 loss: 0.0123 2022/09/16 13:10:16 - mmengine - INFO - Epoch(train) [4][2900/31614] lr: 3.0000e-05 eta: 13:11:21 time: 0.7694 data_time: 0.0156 memory: 9310 loss_ce: 0.0135 loss: 0.0135 2022/09/16 13:11:34 - mmengine - INFO - Epoch(train) [4][3000/31614] lr: 3.0000e-05 eta: 13:10:02 time: 0.7456 data_time: 0.0153 memory: 9310 loss_ce: 0.0139 loss: 0.0139 2022/09/16 13:12:52 - mmengine - INFO - Epoch(train) [4][3100/31614] lr: 3.0000e-05 eta: 13:08:43 time: 0.7747 data_time: 0.0834 memory: 9310 loss_ce: 0.0138 loss: 0.0138 2022/09/16 13:13:37 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 13:14:11 - mmengine - INFO - Epoch(train) [4][3200/31614] lr: 3.0000e-05 eta: 13:07:24 time: 0.8191 data_time: 0.0428 memory: 9310 loss_ce: 0.0123 loss: 0.0123 2022/09/16 13:15:30 - mmengine - INFO - Epoch(train) [4][3300/31614] lr: 3.0000e-05 eta: 13:06:06 time: 0.7454 data_time: 0.0021 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/16 13:16:49 - mmengine - INFO - Epoch(train) [4][3400/31614] lr: 3.0000e-05 eta: 13:04:47 time: 0.7749 data_time: 0.0131 memory: 9310 loss_ce: 0.0134 loss: 0.0134 2022/09/16 13:18:07 - mmengine - INFO - Epoch(train) [4][3500/31614] lr: 3.0000e-05 eta: 13:03:28 time: 0.7500 data_time: 0.0134 memory: 9310 loss_ce: 0.0123 loss: 0.0123 2022/09/16 13:19:25 - mmengine - INFO - Epoch(train) [4][3600/31614] lr: 3.0000e-05 eta: 13:02:09 time: 0.7962 data_time: 0.0133 memory: 9310 loss_ce: 0.0150 loss: 0.0150 2022/09/16 13:20:43 - mmengine - INFO - Epoch(train) [4][3700/31614] lr: 3.0000e-05 eta: 13:00:50 time: 0.7870 data_time: 0.0380 memory: 9310 loss_ce: 0.0132 loss: 0.0132 2022/09/16 13:22:01 - mmengine - INFO - Epoch(train) [4][3800/31614] lr: 3.0000e-05 eta: 12:59:31 time: 0.8044 data_time: 0.0702 memory: 9310 loss_ce: 0.0103 loss: 0.0103 2022/09/16 13:23:20 - mmengine - INFO - Epoch(train) [4][3900/31614] lr: 3.0000e-05 eta: 12:58:12 time: 0.7650 data_time: 0.0070 memory: 9310 loss_ce: 0.0160 loss: 0.0160 2022/09/16 13:24:39 - mmengine - INFO - Epoch(train) [4][4000/31614] lr: 3.0000e-05 eta: 12:56:54 time: 0.7508 data_time: 0.0160 memory: 9310 loss_ce: 0.0141 loss: 0.0141 2022/09/16 13:25:57 - mmengine - INFO - Epoch(train) [4][4100/31614] lr: 3.0000e-05 eta: 12:55:34 time: 0.7358 data_time: 0.0117 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 13:26:43 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 13:27:16 - mmengine - INFO - Epoch(train) [4][4200/31614] lr: 3.0000e-05 eta: 12:54:16 time: 0.7571 data_time: 0.0147 memory: 9310 loss_ce: 0.0138 loss: 0.0138 2022/09/16 13:28:36 - mmengine - INFO - Epoch(train) [4][4300/31614] lr: 3.0000e-05 eta: 12:52:58 time: 0.8177 data_time: 0.0414 memory: 9310 loss_ce: 0.0138 loss: 0.0138 2022/09/16 13:29:55 - mmengine - INFO - Epoch(train) [4][4400/31614] lr: 3.0000e-05 eta: 12:51:39 time: 0.8297 data_time: 0.0430 memory: 9310 loss_ce: 0.0130 loss: 0.0130 2022/09/16 13:31:14 - mmengine - INFO - Epoch(train) [4][4500/31614] lr: 3.0000e-05 eta: 12:50:21 time: 0.7445 data_time: 0.0079 memory: 9310 loss_ce: 0.0104 loss: 0.0104 2022/09/16 13:32:31 - mmengine - INFO - Epoch(train) [4][4600/31614] lr: 3.0000e-05 eta: 12:49:01 time: 0.7151 data_time: 0.0155 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/16 13:33:49 - mmengine - INFO - Epoch(train) [4][4700/31614] lr: 3.0000e-05 eta: 12:47:42 time: 0.7490 data_time: 0.0088 memory: 9310 loss_ce: 0.0153 loss: 0.0153 2022/09/16 13:35:06 - mmengine - INFO - Epoch(train) [4][4800/31614] lr: 3.0000e-05 eta: 12:46:23 time: 0.6802 data_time: 0.0169 memory: 9310 loss_ce: 0.0114 loss: 0.0114 2022/09/16 13:36:24 - mmengine - INFO - Epoch(train) [4][4900/31614] lr: 3.0000e-05 eta: 12:45:03 time: 0.8092 data_time: 0.0448 memory: 9310 loss_ce: 0.0135 loss: 0.0135 2022/09/16 13:37:41 - mmengine - INFO - Epoch(train) [4][5000/31614] lr: 3.0000e-05 eta: 12:43:44 time: 0.7911 data_time: 0.0549 memory: 9310 loss_ce: 0.0145 loss: 0.0145 2022/09/16 13:38:59 - mmengine - INFO - Epoch(train) [4][5100/31614] lr: 3.0000e-05 eta: 12:42:24 time: 0.7825 data_time: 0.0074 memory: 9310 loss_ce: 0.0133 loss: 0.0133 2022/09/16 13:39:45 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 13:40:18 - mmengine - INFO - Epoch(train) [4][5200/31614] lr: 3.0000e-05 eta: 12:41:06 time: 0.7745 data_time: 0.0139 memory: 9310 loss_ce: 0.0127 loss: 0.0127 2022/09/16 13:41:35 - mmengine - INFO - Epoch(train) [4][5300/31614] lr: 3.0000e-05 eta: 12:39:46 time: 0.7642 data_time: 0.0086 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/16 13:42:53 - mmengine - INFO - Epoch(train) [4][5400/31614] lr: 3.0000e-05 eta: 12:38:27 time: 0.7549 data_time: 0.0148 memory: 9310 loss_ce: 0.0109 loss: 0.0109 2022/09/16 13:44:12 - mmengine - INFO - Epoch(train) [4][5500/31614] lr: 3.0000e-05 eta: 12:37:08 time: 0.8620 data_time: 0.0695 memory: 9310 loss_ce: 0.0105 loss: 0.0105 2022/09/16 13:45:29 - mmengine - INFO - Epoch(train) [4][5600/31614] lr: 3.0000e-05 eta: 12:35:49 time: 0.7156 data_time: 0.0440 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 13:46:47 - mmengine - INFO - Epoch(train) [4][5700/31614] lr: 3.0000e-05 eta: 12:34:30 time: 0.7746 data_time: 0.0070 memory: 9310 loss_ce: 0.0108 loss: 0.0108 2022/09/16 13:48:05 - mmengine - INFO - Epoch(train) [4][5800/31614] lr: 3.0000e-05 eta: 12:33:11 time: 0.7181 data_time: 0.0173 memory: 9310 loss_ce: 0.0104 loss: 0.0104 2022/09/16 13:49:23 - mmengine - INFO - Epoch(train) [4][5900/31614] lr: 3.0000e-05 eta: 12:31:51 time: 0.7730 data_time: 0.0110 memory: 9310 loss_ce: 0.0128 loss: 0.0128 2022/09/16 13:50:41 - mmengine - INFO - Epoch(train) [4][6000/31614] lr: 3.0000e-05 eta: 12:30:33 time: 0.7338 data_time: 0.0144 memory: 9310 loss_ce: 0.0114 loss: 0.0114 2022/09/16 13:52:00 - mmengine - INFO - Epoch(train) [4][6100/31614] lr: 3.0000e-05 eta: 12:29:14 time: 0.7491 data_time: 0.0430 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/16 13:52:45 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 13:53:16 - mmengine - INFO - Epoch(train) [4][6200/31614] lr: 3.0000e-05 eta: 12:27:54 time: 0.7999 data_time: 0.0423 memory: 9310 loss_ce: 0.0150 loss: 0.0150 2022/09/16 13:54:35 - mmengine - INFO - Epoch(train) [4][6300/31614] lr: 3.0000e-05 eta: 12:26:35 time: 0.7501 data_time: 0.0067 memory: 9310 loss_ce: 0.0146 loss: 0.0146 2022/09/16 13:55:53 - mmengine - INFO - Epoch(train) [4][6400/31614] lr: 3.0000e-05 eta: 12:25:16 time: 0.7759 data_time: 0.0198 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 13:57:09 - mmengine - INFO - Epoch(train) [4][6500/31614] lr: 3.0000e-05 eta: 12:23:56 time: 0.7649 data_time: 0.0122 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 13:58:25 - mmengine - INFO - Epoch(train) [4][6600/31614] lr: 3.0000e-05 eta: 12:22:36 time: 0.7576 data_time: 0.0152 memory: 9310 loss_ce: 0.0129 loss: 0.0129 2022/09/16 13:59:39 - mmengine - INFO - Epoch(train) [4][6700/31614] lr: 3.0000e-05 eta: 12:21:14 time: 0.7817 data_time: 0.0421 memory: 9310 loss_ce: 0.0133 loss: 0.0133 2022/09/16 14:00:58 - mmengine - INFO - Epoch(train) [4][6800/31614] lr: 3.0000e-05 eta: 12:19:56 time: 0.8211 data_time: 0.0857 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/16 14:02:15 - mmengine - INFO - Epoch(train) [4][6900/31614] lr: 3.0000e-05 eta: 12:18:36 time: 0.8305 data_time: 0.0375 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/16 14:03:32 - mmengine - INFO - Epoch(train) [4][7000/31614] lr: 3.0000e-05 eta: 12:17:17 time: 0.7851 data_time: 0.0431 memory: 9310 loss_ce: 0.0137 loss: 0.0137 2022/09/16 14:04:50 - mmengine - INFO - Epoch(train) [4][7100/31614] lr: 3.0000e-05 eta: 12:15:57 time: 0.7650 data_time: 0.0087 memory: 9310 loss_ce: 0.0141 loss: 0.0141 2022/09/16 14:05:36 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 14:06:09 - mmengine - INFO - Epoch(train) [4][7200/31614] lr: 3.0000e-05 eta: 12:14:39 time: 0.7645 data_time: 0.0145 memory: 9310 loss_ce: 0.0135 loss: 0.0135 2022/09/16 14:07:26 - mmengine - INFO - Epoch(train) [4][7300/31614] lr: 3.0000e-05 eta: 12:13:20 time: 0.7989 data_time: 0.0388 memory: 9310 loss_ce: 0.0136 loss: 0.0136 2022/09/16 14:08:44 - mmengine - INFO - Epoch(train) [4][7400/31614] lr: 3.0000e-05 eta: 12:12:00 time: 0.7801 data_time: 0.0449 memory: 9310 loss_ce: 0.0146 loss: 0.0146 2022/09/16 14:10:01 - mmengine - INFO - Epoch(train) [4][7500/31614] lr: 3.0000e-05 eta: 12:10:41 time: 0.7596 data_time: 0.0136 memory: 9310 loss_ce: 0.0150 loss: 0.0150 2022/09/16 14:11:18 - mmengine - INFO - Epoch(train) [4][7600/31614] lr: 3.0000e-05 eta: 12:09:21 time: 0.7330 data_time: 0.0218 memory: 9310 loss_ce: 0.0097 loss: 0.0097 2022/09/16 14:12:36 - mmengine - INFO - Epoch(train) [4][7700/31614] lr: 3.0000e-05 eta: 12:08:02 time: 0.7526 data_time: 0.0090 memory: 9310 loss_ce: 0.0088 loss: 0.0088 2022/09/16 14:13:53 - mmengine - INFO - Epoch(train) [4][7800/31614] lr: 3.0000e-05 eta: 12:06:42 time: 0.7489 data_time: 0.0142 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/16 14:15:10 - mmengine - INFO - Epoch(train) [4][7900/31614] lr: 3.0000e-05 eta: 12:05:23 time: 0.7398 data_time: 0.0430 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/16 14:16:26 - mmengine - INFO - Epoch(train) [4][8000/31614] lr: 3.0000e-05 eta: 12:04:03 time: 0.8417 data_time: 0.0451 memory: 9310 loss_ce: 0.0162 loss: 0.0162 2022/09/16 14:17:43 - mmengine - INFO - Epoch(train) [4][8100/31614] lr: 3.0000e-05 eta: 12:02:43 time: 0.7878 data_time: 0.0145 memory: 9310 loss_ce: 0.0123 loss: 0.0123 2022/09/16 14:18:27 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 14:19:01 - mmengine - INFO - Epoch(train) [4][8200/31614] lr: 3.0000e-05 eta: 12:01:24 time: 0.7997 data_time: 0.0203 memory: 9310 loss_ce: 0.0159 loss: 0.0159 2022/09/16 14:20:18 - mmengine - INFO - Epoch(train) [4][8300/31614] lr: 3.0000e-05 eta: 12:00:04 time: 0.7033 data_time: 0.0109 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/16 14:21:35 - mmengine - INFO - Epoch(train) [4][8400/31614] lr: 3.0000e-05 eta: 11:58:45 time: 0.7663 data_time: 0.0153 memory: 9310 loss_ce: 0.0126 loss: 0.0126 2022/09/16 14:22:53 - mmengine - INFO - Epoch(train) [4][8500/31614] lr: 3.0000e-05 eta: 11:57:26 time: 0.8119 data_time: 0.0766 memory: 9310 loss_ce: 0.0124 loss: 0.0124 2022/09/16 14:24:10 - mmengine - INFO - Epoch(train) [4][8600/31614] lr: 3.0000e-05 eta: 11:56:07 time: 0.7851 data_time: 0.0428 memory: 9310 loss_ce: 0.0141 loss: 0.0141 2022/09/16 14:25:26 - mmengine - INFO - Epoch(train) [4][8700/31614] lr: 3.0000e-05 eta: 11:54:46 time: 0.7556 data_time: 0.0129 memory: 9310 loss_ce: 0.0127 loss: 0.0127 2022/09/16 14:26:44 - mmengine - INFO - Epoch(train) [4][8800/31614] lr: 3.0000e-05 eta: 11:53:28 time: 0.7477 data_time: 0.0194 memory: 9310 loss_ce: 0.0158 loss: 0.0158 2022/09/16 14:28:01 - mmengine - INFO - Epoch(train) [4][8900/31614] lr: 3.0000e-05 eta: 11:52:08 time: 0.7657 data_time: 0.0101 memory: 9310 loss_ce: 0.0133 loss: 0.0133 2022/09/16 14:29:18 - mmengine - INFO - Epoch(train) [4][9000/31614] lr: 3.0000e-05 eta: 11:50:48 time: 0.7835 data_time: 0.0152 memory: 9310 loss_ce: 0.0146 loss: 0.0146 2022/09/16 14:30:37 - mmengine - INFO - Epoch(train) [4][9100/31614] lr: 3.0000e-05 eta: 11:49:30 time: 0.7880 data_time: 0.0391 memory: 9310 loss_ce: 0.0133 loss: 0.0133 2022/09/16 14:31:21 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 14:31:54 - mmengine - INFO - Epoch(train) [4][9200/31614] lr: 3.0000e-05 eta: 11:48:10 time: 0.7855 data_time: 0.0471 memory: 9310 loss_ce: 0.0126 loss: 0.0126 2022/09/16 14:33:10 - mmengine - INFO - Epoch(train) [4][9300/31614] lr: 3.0000e-05 eta: 11:46:51 time: 0.7809 data_time: 0.0157 memory: 9310 loss_ce: 0.0141 loss: 0.0141 2022/09/16 14:34:30 - mmengine - INFO - Epoch(train) [4][9400/31614] lr: 3.0000e-05 eta: 11:45:33 time: 0.7927 data_time: 0.0284 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 14:35:48 - mmengine - INFO - Epoch(train) [4][9500/31614] lr: 3.0000e-05 eta: 11:44:14 time: 0.7652 data_time: 0.0094 memory: 9310 loss_ce: 0.0136 loss: 0.0136 2022/09/16 14:37:08 - mmengine - INFO - Epoch(train) [4][9600/31614] lr: 3.0000e-05 eta: 11:42:56 time: 0.7481 data_time: 0.0143 memory: 9310 loss_ce: 0.0109 loss: 0.0109 2022/09/16 14:38:28 - mmengine - INFO - Epoch(train) [4][9700/31614] lr: 3.0000e-05 eta: 11:41:37 time: 0.7830 data_time: 0.0389 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/16 14:39:46 - mmengine - INFO - Epoch(train) [4][9800/31614] lr: 3.0000e-05 eta: 11:40:18 time: 0.7952 data_time: 0.0436 memory: 9310 loss_ce: 0.0129 loss: 0.0129 2022/09/16 14:41:04 - mmengine - INFO - Epoch(train) [4][9900/31614] lr: 3.0000e-05 eta: 11:38:59 time: 0.7937 data_time: 0.0620 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/16 14:42:22 - mmengine - INFO - Epoch(train) [4][10000/31614] lr: 3.0000e-05 eta: 11:37:40 time: 0.7854 data_time: 0.0229 memory: 9310 loss_ce: 0.0154 loss: 0.0154 2022/09/16 14:43:40 - mmengine - INFO - Epoch(train) [4][10100/31614] lr: 3.0000e-05 eta: 11:36:21 time: 0.7548 data_time: 0.0096 memory: 9310 loss_ce: 0.0105 loss: 0.0105 2022/09/16 14:44:25 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 14:44:57 - mmengine - INFO - Epoch(train) [4][10200/31614] lr: 3.0000e-05 eta: 11:35:02 time: 0.7562 data_time: 0.0149 memory: 9310 loss_ce: 0.0126 loss: 0.0126 2022/09/16 14:46:16 - mmengine - INFO - Epoch(train) [4][10300/31614] lr: 3.0000e-05 eta: 11:33:43 time: 0.8174 data_time: 0.0443 memory: 9310 loss_ce: 0.0150 loss: 0.0150 2022/09/16 14:47:32 - mmengine - INFO - Epoch(train) [4][10400/31614] lr: 3.0000e-05 eta: 11:32:23 time: 0.7903 data_time: 0.0456 memory: 9310 loss_ce: 0.0108 loss: 0.0108 2022/09/16 14:48:49 - mmengine - INFO - Epoch(train) [4][10500/31614] lr: 3.0000e-05 eta: 11:31:04 time: 0.7508 data_time: 0.0155 memory: 9310 loss_ce: 0.0132 loss: 0.0132 2022/09/16 14:50:07 - mmengine - INFO - Epoch(train) [4][10600/31614] lr: 3.0000e-05 eta: 11:29:45 time: 0.7149 data_time: 0.0211 memory: 9310 loss_ce: 0.0103 loss: 0.0103 2022/09/16 14:51:22 - mmengine - INFO - Epoch(train) [4][10700/31614] lr: 3.0000e-05 eta: 11:28:24 time: 0.6061 data_time: 0.0095 memory: 9310 loss_ce: 0.0114 loss: 0.0114 2022/09/16 14:52:39 - mmengine - INFO - Epoch(train) [4][10800/31614] lr: 3.0000e-05 eta: 11:27:05 time: 0.7627 data_time: 0.0149 memory: 9310 loss_ce: 0.0100 loss: 0.0100 2022/09/16 14:53:57 - mmengine - INFO - Epoch(train) [4][10900/31614] lr: 3.0000e-05 eta: 11:25:46 time: 0.7232 data_time: 0.0789 memory: 9310 loss_ce: 0.0105 loss: 0.0105 2022/09/16 14:55:15 - mmengine - INFO - Epoch(train) [4][11000/31614] lr: 3.0000e-05 eta: 11:24:27 time: 0.8292 data_time: 0.0438 memory: 9310 loss_ce: 0.0126 loss: 0.0126 2022/09/16 14:56:32 - mmengine - INFO - Epoch(train) [4][11100/31614] lr: 3.0000e-05 eta: 11:23:08 time: 0.7875 data_time: 0.0157 memory: 9310 loss_ce: 0.0105 loss: 0.0105 2022/09/16 14:57:17 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 14:57:50 - mmengine - INFO - Epoch(train) [4][11200/31614] lr: 3.0000e-05 eta: 11:21:49 time: 0.7897 data_time: 0.0464 memory: 9310 loss_ce: 0.0114 loss: 0.0114 2022/09/16 14:59:07 - mmengine - INFO - Epoch(train) [4][11300/31614] lr: 3.0000e-05 eta: 11:20:29 time: 0.7154 data_time: 0.0100 memory: 9310 loss_ce: 0.0128 loss: 0.0128 2022/09/16 15:00:24 - mmengine - INFO - Epoch(train) [4][11400/31614] lr: 3.0000e-05 eta: 11:19:10 time: 0.7032 data_time: 0.0160 memory: 9310 loss_ce: 0.0111 loss: 0.0111 2022/09/16 15:01:42 - mmengine - INFO - Epoch(train) [4][11500/31614] lr: 3.0000e-05 eta: 11:17:51 time: 0.7656 data_time: 0.0710 memory: 9310 loss_ce: 0.0114 loss: 0.0114 2022/09/16 15:03:01 - mmengine - INFO - Epoch(train) [4][11600/31614] lr: 3.0000e-05 eta: 11:16:33 time: 0.8324 data_time: 0.0428 memory: 9310 loss_ce: 0.0106 loss: 0.0106 2022/09/16 15:04:19 - mmengine - INFO - Epoch(train) [4][11700/31614] lr: 3.0000e-05 eta: 11:15:13 time: 0.7564 data_time: 0.0165 memory: 9310 loss_ce: 0.0100 loss: 0.0100 2022/09/16 15:05:36 - mmengine - INFO - Epoch(train) [4][11800/31614] lr: 3.0000e-05 eta: 11:13:54 time: 0.7924 data_time: 0.0216 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/16 15:06:53 - mmengine - INFO - Epoch(train) [4][11900/31614] lr: 3.0000e-05 eta: 11:12:35 time: 0.7500 data_time: 0.0100 memory: 9310 loss_ce: 0.0130 loss: 0.0130 2022/09/16 15:08:10 - mmengine - INFO - Epoch(train) [4][12000/31614] lr: 3.0000e-05 eta: 11:11:15 time: 0.7618 data_time: 0.0151 memory: 9310 loss_ce: 0.0108 loss: 0.0108 2022/09/16 15:09:26 - mmengine - INFO - Epoch(train) [4][12100/31614] lr: 3.0000e-05 eta: 11:09:56 time: 0.7449 data_time: 0.0384 memory: 9310 loss_ce: 0.0113 loss: 0.0113 2022/09/16 15:10:11 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 15:10:43 - mmengine - INFO - Epoch(train) [4][12200/31614] lr: 3.0000e-05 eta: 11:08:36 time: 0.8184 data_time: 0.0806 memory: 9310 loss_ce: 0.0122 loss: 0.0122 2022/09/16 15:12:01 - mmengine - INFO - Epoch(train) [4][12300/31614] lr: 3.0000e-05 eta: 11:07:17 time: 0.7434 data_time: 0.0170 memory: 9310 loss_ce: 0.0126 loss: 0.0126 2022/09/16 15:13:18 - mmengine - INFO - Epoch(train) [4][12400/31614] lr: 3.0000e-05 eta: 11:05:58 time: 0.7414 data_time: 0.0199 memory: 9310 loss_ce: 0.0148 loss: 0.0148 2022/09/16 15:14:34 - mmengine - INFO - Epoch(train) [4][12500/31614] lr: 3.0000e-05 eta: 11:04:38 time: 0.7605 data_time: 0.0090 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/16 15:15:52 - mmengine - INFO - Epoch(train) [4][12600/31614] lr: 3.0000e-05 eta: 11:03:19 time: 0.7160 data_time: 0.0187 memory: 9310 loss_ce: 0.0113 loss: 0.0113 2022/09/16 15:17:11 - mmengine - INFO - Epoch(train) [4][12700/31614] lr: 3.0000e-05 eta: 11:02:00 time: 0.7831 data_time: 0.0393 memory: 9310 loss_ce: 0.0126 loss: 0.0126 2022/09/16 15:18:29 - mmengine - INFO - Epoch(train) [4][12800/31614] lr: 3.0000e-05 eta: 11:00:42 time: 0.8649 data_time: 0.0813 memory: 9310 loss_ce: 0.0146 loss: 0.0146 2022/09/16 15:19:48 - mmengine - INFO - Epoch(train) [4][12900/31614] lr: 3.0000e-05 eta: 10:59:23 time: 0.7995 data_time: 0.0156 memory: 9310 loss_ce: 0.0143 loss: 0.0143 2022/09/16 15:21:06 - mmengine - INFO - Epoch(train) [4][13000/31614] lr: 3.0000e-05 eta: 10:58:04 time: 0.7933 data_time: 0.0199 memory: 9310 loss_ce: 0.0127 loss: 0.0127 2022/09/16 15:22:24 - mmengine - INFO - Epoch(train) [4][13100/31614] lr: 3.0000e-05 eta: 10:56:45 time: 0.7528 data_time: 0.0090 memory: 9310 loss_ce: 0.0105 loss: 0.0105 2022/09/16 15:23:09 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 15:23:42 - mmengine - INFO - Epoch(train) [4][13200/31614] lr: 3.0000e-05 eta: 10:55:26 time: 0.7580 data_time: 0.0147 memory: 9310 loss_ce: 0.0094 loss: 0.0094 2022/09/16 15:24:59 - mmengine - INFO - Epoch(train) [4][13300/31614] lr: 3.0000e-05 eta: 10:54:07 time: 0.7863 data_time: 0.0381 memory: 9310 loss_ce: 0.0102 loss: 0.0102 2022/09/16 15:26:16 - mmengine - INFO - Epoch(train) [4][13400/31614] lr: 3.0000e-05 eta: 10:52:48 time: 0.8167 data_time: 0.0459 memory: 9310 loss_ce: 0.0122 loss: 0.0122 2022/09/16 15:27:33 - mmengine - INFO - Epoch(train) [4][13500/31614] lr: 3.0000e-05 eta: 10:51:28 time: 0.7858 data_time: 0.0162 memory: 9310 loss_ce: 0.0138 loss: 0.0138 2022/09/16 15:28:50 - mmengine - INFO - Epoch(train) [4][13600/31614] lr: 3.0000e-05 eta: 10:50:09 time: 0.7519 data_time: 0.0196 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/16 15:30:09 - mmengine - INFO - Epoch(train) [4][13700/31614] lr: 3.0000e-05 eta: 10:48:51 time: 0.7513 data_time: 0.0090 memory: 9310 loss_ce: 0.0107 loss: 0.0107 2022/09/16 15:31:27 - mmengine - INFO - Epoch(train) [4][13800/31614] lr: 3.0000e-05 eta: 10:47:32 time: 0.7550 data_time: 0.0163 memory: 9310 loss_ce: 0.0096 loss: 0.0096 2022/09/16 15:32:45 - mmengine - INFO - Epoch(train) [4][13900/31614] lr: 3.0000e-05 eta: 10:46:13 time: 0.7833 data_time: 0.0372 memory: 9310 loss_ce: 0.0097 loss: 0.0097 2022/09/16 15:34:02 - mmengine - INFO - Epoch(train) [4][14000/31614] lr: 3.0000e-05 eta: 10:44:54 time: 0.8409 data_time: 0.0524 memory: 9310 loss_ce: 0.0104 loss: 0.0104 2022/09/16 15:35:18 - mmengine - INFO - Epoch(train) [4][14100/31614] lr: 3.0000e-05 eta: 10:43:34 time: 0.6835 data_time: 0.0164 memory: 9310 loss_ce: 0.0104 loss: 0.0104 2022/09/16 15:36:03 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 15:36:36 - mmengine - INFO - Epoch(train) [4][14200/31614] lr: 3.0000e-05 eta: 10:42:15 time: 0.7976 data_time: 0.0212 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 15:37:55 - mmengine - INFO - Epoch(train) [4][14300/31614] lr: 3.0000e-05 eta: 10:40:56 time: 0.8049 data_time: 0.0108 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 15:39:12 - mmengine - INFO - Epoch(train) [4][14400/31614] lr: 3.0000e-05 eta: 10:39:37 time: 0.7852 data_time: 0.0292 memory: 9310 loss_ce: 0.0122 loss: 0.0122 2022/09/16 15:40:29 - mmengine - INFO - Epoch(train) [4][14500/31614] lr: 3.0000e-05 eta: 10:38:18 time: 0.7197 data_time: 0.0373 memory: 9310 loss_ce: 0.0153 loss: 0.0153 2022/09/16 15:41:47 - mmengine - INFO - Epoch(train) [4][14600/31614] lr: 3.0000e-05 eta: 10:36:59 time: 0.7655 data_time: 0.0416 memory: 9310 loss_ce: 0.0102 loss: 0.0102 2022/09/16 15:43:06 - mmengine - INFO - Epoch(train) [4][14700/31614] lr: 3.0000e-05 eta: 10:35:40 time: 0.7995 data_time: 0.0128 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 15:44:25 - mmengine - INFO - Epoch(train) [4][14800/31614] lr: 3.0000e-05 eta: 10:34:22 time: 0.7889 data_time: 0.0188 memory: 9310 loss_ce: 0.0172 loss: 0.0172 2022/09/16 15:45:45 - mmengine - INFO - Epoch(train) [4][14900/31614] lr: 3.0000e-05 eta: 10:33:04 time: 0.7899 data_time: 0.0156 memory: 9310 loss_ce: 0.0098 loss: 0.0098 2022/09/16 15:47:04 - mmengine - INFO - Epoch(train) [4][15000/31614] lr: 3.0000e-05 eta: 10:31:45 time: 0.7849 data_time: 0.0359 memory: 9310 loss_ce: 0.0131 loss: 0.0131 2022/09/16 15:48:23 - mmengine - INFO - Epoch(train) [4][15100/31614] lr: 3.0000e-05 eta: 10:30:27 time: 0.7847 data_time: 0.0459 memory: 9310 loss_ce: 0.0142 loss: 0.0142 2022/09/16 15:49:10 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 15:49:43 - mmengine - INFO - Epoch(train) [4][15200/31614] lr: 3.0000e-05 eta: 10:29:09 time: 0.8261 data_time: 0.0355 memory: 9310 loss_ce: 0.0086 loss: 0.0086 2022/09/16 15:51:00 - mmengine - INFO - Epoch(train) [4][15300/31614] lr: 3.0000e-05 eta: 10:27:50 time: 0.7871 data_time: 0.0108 memory: 9310 loss_ce: 0.0124 loss: 0.0124 2022/09/16 15:52:16 - mmengine - INFO - Epoch(train) [4][15400/31614] lr: 3.0000e-05 eta: 10:26:30 time: 0.7504 data_time: 0.0229 memory: 9310 loss_ce: 0.0144 loss: 0.0144 2022/09/16 15:53:33 - mmengine - INFO - Epoch(train) [4][15500/31614] lr: 3.0000e-05 eta: 10:25:11 time: 0.7508 data_time: 0.0143 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/16 15:54:50 - mmengine - INFO - Epoch(train) [4][15600/31614] lr: 3.0000e-05 eta: 10:23:51 time: 0.7279 data_time: 0.0219 memory: 9310 loss_ce: 0.0114 loss: 0.0114 2022/09/16 15:56:08 - mmengine - INFO - Epoch(train) [4][15700/31614] lr: 3.0000e-05 eta: 10:22:32 time: 0.7866 data_time: 0.0387 memory: 9310 loss_ce: 0.0133 loss: 0.0133 2022/09/16 15:57:26 - mmengine - INFO - Epoch(train) [4][15800/31614] lr: 3.0000e-05 eta: 10:21:14 time: 0.7956 data_time: 0.0320 memory: 9310 loss_ce: 0.0135 loss: 0.0135 2022/09/16 15:58:43 - mmengine - INFO - Epoch(train) [4][15900/31614] lr: 3.0000e-05 eta: 10:19:54 time: 0.7487 data_time: 0.0106 memory: 9310 loss_ce: 0.0130 loss: 0.0130 2022/09/16 16:00:01 - mmengine - INFO - Epoch(train) [4][16000/31614] lr: 3.0000e-05 eta: 10:18:35 time: 0.7813 data_time: 0.0244 memory: 9310 loss_ce: 0.0157 loss: 0.0157 2022/09/16 16:01:18 - mmengine - INFO - Epoch(train) [4][16100/31614] lr: 3.0000e-05 eta: 10:17:16 time: 0.7629 data_time: 0.0150 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 16:02:03 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 16:02:35 - mmengine - INFO - Epoch(train) [4][16200/31614] lr: 3.0000e-05 eta: 10:15:57 time: 0.7298 data_time: 0.0222 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/16 16:03:54 - mmengine - INFO - Epoch(train) [4][16300/31614] lr: 3.0000e-05 eta: 10:14:38 time: 0.8208 data_time: 0.0593 memory: 9310 loss_ce: 0.0122 loss: 0.0122 2022/09/16 16:05:11 - mmengine - INFO - Epoch(train) [4][16400/31614] lr: 3.0000e-05 eta: 10:13:19 time: 0.7764 data_time: 0.0341 memory: 9310 loss_ce: 0.0100 loss: 0.0100 2022/09/16 16:06:28 - mmengine - INFO - Epoch(train) [4][16500/31614] lr: 3.0000e-05 eta: 10:12:00 time: 0.7235 data_time: 0.0108 memory: 9310 loss_ce: 0.0135 loss: 0.0135 2022/09/16 16:07:46 - mmengine - INFO - Epoch(train) [4][16600/31614] lr: 3.0000e-05 eta: 10:10:41 time: 0.7958 data_time: 0.0237 memory: 9310 loss_ce: 0.0104 loss: 0.0104 2022/09/16 16:09:02 - mmengine - INFO - Epoch(train) [4][16700/31614] lr: 3.0000e-05 eta: 10:09:21 time: 0.6746 data_time: 0.0175 memory: 9310 loss_ce: 0.0103 loss: 0.0103 2022/09/16 16:10:21 - mmengine - INFO - Epoch(train) [4][16800/31614] lr: 3.0000e-05 eta: 10:08:03 time: 0.8138 data_time: 0.0530 memory: 9310 loss_ce: 0.0168 loss: 0.0168 2022/09/16 16:11:38 - mmengine - INFO - Epoch(train) [4][16900/31614] lr: 3.0000e-05 eta: 10:06:44 time: 0.8071 data_time: 0.0340 memory: 9310 loss_ce: 0.0101 loss: 0.0101 2022/09/16 16:12:55 - mmengine - INFO - Epoch(train) [4][17000/31614] lr: 3.0000e-05 eta: 10:05:24 time: 0.7653 data_time: 0.0369 memory: 9310 loss_ce: 0.0148 loss: 0.0148 2022/09/16 16:14:12 - mmengine - INFO - Epoch(train) [4][17100/31614] lr: 3.0000e-05 eta: 10:04:05 time: 0.7527 data_time: 0.0115 memory: 9310 loss_ce: 0.0125 loss: 0.0125 2022/09/16 16:14:57 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 16:15:29 - mmengine - INFO - Epoch(train) [4][17200/31614] lr: 3.0000e-05 eta: 10:02:46 time: 0.7749 data_time: 0.0253 memory: 9310 loss_ce: 0.0094 loss: 0.0094 2022/09/16 16:16:46 - mmengine - INFO - Epoch(train) [4][17300/31614] lr: 3.0000e-05 eta: 10:01:27 time: 0.7197 data_time: 0.0187 memory: 9310 loss_ce: 0.0107 loss: 0.0107 2022/09/16 16:18:03 - mmengine - INFO - Epoch(train) [4][17400/31614] lr: 3.0000e-05 eta: 10:00:08 time: 0.7487 data_time: 0.0221 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 16:19:23 - mmengine - INFO - Epoch(train) [4][17500/31614] lr: 3.0000e-05 eta: 9:58:50 time: 0.7806 data_time: 0.0333 memory: 9310 loss_ce: 0.0090 loss: 0.0090 2022/09/16 16:20:40 - mmengine - INFO - Epoch(train) [4][17600/31614] lr: 3.0000e-05 eta: 9:57:31 time: 0.8165 data_time: 0.0630 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/16 16:21:58 - mmengine - INFO - Epoch(train) [4][17700/31614] lr: 3.0000e-05 eta: 9:56:12 time: 0.7522 data_time: 0.0105 memory: 9310 loss_ce: 0.0124 loss: 0.0124 2022/09/16 16:23:16 - mmengine - INFO - Epoch(train) [4][17800/31614] lr: 3.0000e-05 eta: 9:54:53 time: 0.7878 data_time: 0.0243 memory: 9310 loss_ce: 0.0107 loss: 0.0107 2022/09/16 16:24:34 - mmengine - INFO - Epoch(train) [4][17900/31614] lr: 3.0000e-05 eta: 9:53:34 time: 0.6946 data_time: 0.0190 memory: 9310 loss_ce: 0.0149 loss: 0.0149 2022/09/16 16:25:53 - mmengine - INFO - Epoch(train) [4][18000/31614] lr: 3.0000e-05 eta: 9:52:15 time: 0.7486 data_time: 0.0251 memory: 9310 loss_ce: 0.0098 loss: 0.0098 2022/09/16 16:27:11 - mmengine - INFO - Epoch(train) [4][18100/31614] lr: 3.0000e-05 eta: 9:50:57 time: 0.7862 data_time: 0.0740 memory: 9310 loss_ce: 0.0161 loss: 0.0161 2022/09/16 16:27:55 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 16:28:28 - mmengine - INFO - Epoch(train) [4][18200/31614] lr: 3.0000e-05 eta: 9:49:38 time: 0.8052 data_time: 0.0701 memory: 9310 loss_ce: 0.0111 loss: 0.0111 2022/09/16 16:29:44 - mmengine - INFO - Epoch(train) [4][18300/31614] lr: 3.0000e-05 eta: 9:48:18 time: 0.7505 data_time: 0.0134 memory: 9310 loss_ce: 0.0102 loss: 0.0102 2022/09/16 16:31:02 - mmengine - INFO - Epoch(train) [4][18400/31614] lr: 3.0000e-05 eta: 9:46:59 time: 0.7822 data_time: 0.0307 memory: 9310 loss_ce: 0.0140 loss: 0.0140 2022/09/16 16:32:19 - mmengine - INFO - Epoch(train) [4][18500/31614] lr: 3.0000e-05 eta: 9:45:40 time: 0.7637 data_time: 0.0179 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/16 16:33:37 - mmengine - INFO - Epoch(train) [4][18600/31614] lr: 3.0000e-05 eta: 9:44:21 time: 0.7614 data_time: 0.0257 memory: 9310 loss_ce: 0.0144 loss: 0.0144 2022/09/16 16:34:53 - mmengine - INFO - Epoch(train) [4][18700/31614] lr: 3.0000e-05 eta: 9:43:02 time: 0.8137 data_time: 0.0325 memory: 9310 loss_ce: 0.0126 loss: 0.0126 2022/09/16 16:36:09 - mmengine - INFO - Epoch(train) [4][18800/31614] lr: 3.0000e-05 eta: 9:41:42 time: 0.8174 data_time: 0.0325 memory: 9310 loss_ce: 0.0083 loss: 0.0083 2022/09/16 16:37:26 - mmengine - INFO - Epoch(train) [4][18900/31614] lr: 3.0000e-05 eta: 9:40:23 time: 0.7226 data_time: 0.0143 memory: 9310 loss_ce: 0.0142 loss: 0.0142 2022/09/16 16:38:44 - mmengine - INFO - Epoch(train) [4][19000/31614] lr: 3.0000e-05 eta: 9:39:04 time: 0.7835 data_time: 0.0246 memory: 9310 loss_ce: 0.0125 loss: 0.0125 2022/09/16 16:40:01 - mmengine - INFO - Epoch(train) [4][19100/31614] lr: 3.0000e-05 eta: 9:37:45 time: 0.7839 data_time: 0.0179 memory: 9310 loss_ce: 0.0162 loss: 0.0162 2022/09/16 16:40:46 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 16:41:18 - mmengine - INFO - Epoch(train) [4][19200/31614] lr: 3.0000e-05 eta: 9:36:26 time: 0.7370 data_time: 0.0241 memory: 9310 loss_ce: 0.0111 loss: 0.0111 2022/09/16 16:42:34 - mmengine - INFO - Epoch(train) [4][19300/31614] lr: 3.0000e-05 eta: 9:35:06 time: 0.6743 data_time: 0.0307 memory: 9310 loss_ce: 0.0093 loss: 0.0093 2022/09/16 16:43:53 - mmengine - INFO - Epoch(train) [4][19400/31614] lr: 3.0000e-05 eta: 9:33:48 time: 0.7841 data_time: 0.0326 memory: 9310 loss_ce: 0.0136 loss: 0.0136 2022/09/16 16:45:09 - mmengine - INFO - Epoch(train) [4][19500/31614] lr: 3.0000e-05 eta: 9:32:28 time: 0.7484 data_time: 0.0165 memory: 9310 loss_ce: 0.0099 loss: 0.0099 2022/09/16 16:46:27 - mmengine - INFO - Epoch(train) [4][19600/31614] lr: 3.0000e-05 eta: 9:31:09 time: 0.7900 data_time: 0.0283 memory: 9310 loss_ce: 0.0097 loss: 0.0097 2022/09/16 16:47:44 - mmengine - INFO - Epoch(train) [4][19700/31614] lr: 3.0000e-05 eta: 9:29:50 time: 0.7215 data_time: 0.0191 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 16:49:01 - mmengine - INFO - Epoch(train) [4][19800/31614] lr: 3.0000e-05 eta: 9:28:31 time: 0.7902 data_time: 0.0230 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/16 16:50:18 - mmengine - INFO - Epoch(train) [4][19900/31614] lr: 3.0000e-05 eta: 9:27:12 time: 0.8260 data_time: 0.0290 memory: 9310 loss_ce: 0.0138 loss: 0.0138 2022/09/16 16:51:36 - mmengine - INFO - Epoch(train) [4][20000/31614] lr: 3.0000e-05 eta: 9:25:53 time: 0.7618 data_time: 0.0313 memory: 9310 loss_ce: 0.0127 loss: 0.0127 2022/09/16 16:52:53 - mmengine - INFO - Epoch(train) [4][20100/31614] lr: 3.0000e-05 eta: 9:24:34 time: 0.7620 data_time: 0.0188 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/16 16:53:39 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 16:54:12 - mmengine - INFO - Epoch(train) [4][20200/31614] lr: 3.0000e-05 eta: 9:23:16 time: 0.8221 data_time: 0.0641 memory: 9310 loss_ce: 0.0122 loss: 0.0122 2022/09/16 16:55:29 - mmengine - INFO - Epoch(train) [4][20300/31614] lr: 3.0000e-05 eta: 9:21:57 time: 0.7966 data_time: 0.0187 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 16:56:47 - mmengine - INFO - Epoch(train) [4][20400/31614] lr: 3.0000e-05 eta: 9:20:38 time: 0.7838 data_time: 0.0207 memory: 9310 loss_ce: 0.0128 loss: 0.0128 2022/09/16 16:58:03 - mmengine - INFO - Epoch(train) [4][20500/31614] lr: 3.0000e-05 eta: 9:19:18 time: 0.7589 data_time: 0.0298 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/16 16:59:22 - mmengine - INFO - Epoch(train) [4][20600/31614] lr: 3.0000e-05 eta: 9:18:00 time: 0.7811 data_time: 0.0309 memory: 9310 loss_ce: 0.0157 loss: 0.0157 2022/09/16 17:00:41 - mmengine - INFO - Epoch(train) [4][20700/31614] lr: 3.0000e-05 eta: 9:16:42 time: 0.8008 data_time: 0.0515 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 17:02:00 - mmengine - INFO - Epoch(train) [4][20800/31614] lr: 3.0000e-05 eta: 9:15:23 time: 0.7463 data_time: 0.0293 memory: 9310 loss_ce: 0.0100 loss: 0.0100 2022/09/16 17:03:17 - mmengine - INFO - Epoch(train) [4][20900/31614] lr: 3.0000e-05 eta: 9:14:04 time: 0.7849 data_time: 0.0190 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/16 17:04:35 - mmengine - INFO - Epoch(train) [4][21000/31614] lr: 3.0000e-05 eta: 9:12:45 time: 0.7840 data_time: 0.0199 memory: 9310 loss_ce: 0.0139 loss: 0.0139 2022/09/16 17:05:53 - mmengine - INFO - Epoch(train) [4][21100/31614] lr: 3.0000e-05 eta: 9:11:27 time: 0.7833 data_time: 0.0293 memory: 9310 loss_ce: 0.0139 loss: 0.0139 2022/09/16 17:06:39 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 17:07:12 - mmengine - INFO - Epoch(train) [4][21200/31614] lr: 3.0000e-05 eta: 9:10:08 time: 0.7939 data_time: 0.0327 memory: 9310 loss_ce: 0.0155 loss: 0.0155 2022/09/16 17:08:30 - mmengine - INFO - Epoch(train) [4][21300/31614] lr: 3.0000e-05 eta: 9:08:50 time: 0.7537 data_time: 0.0200 memory: 9310 loss_ce: 0.0129 loss: 0.0129 2022/09/16 17:09:48 - mmengine - INFO - Epoch(train) [4][21400/31614] lr: 3.0000e-05 eta: 9:07:31 time: 0.7876 data_time: 0.0298 memory: 9310 loss_ce: 0.0103 loss: 0.0103 2022/09/16 17:11:08 - mmengine - INFO - Epoch(train) [4][21500/31614] lr: 3.0000e-05 eta: 9:06:12 time: 0.7573 data_time: 0.0190 memory: 9310 loss_ce: 0.0131 loss: 0.0131 2022/09/16 17:12:26 - mmengine - INFO - Epoch(train) [4][21600/31614] lr: 3.0000e-05 eta: 9:04:54 time: 0.7833 data_time: 0.0223 memory: 9310 loss_ce: 0.0094 loss: 0.0094 2022/09/16 17:13:45 - mmengine - INFO - Epoch(train) [4][21700/31614] lr: 3.0000e-05 eta: 9:03:35 time: 0.8355 data_time: 0.0665 memory: 9310 loss_ce: 0.0128 loss: 0.0128 2022/09/16 17:15:04 - mmengine - INFO - Epoch(train) [4][21800/31614] lr: 3.0000e-05 eta: 9:02:17 time: 0.8418 data_time: 0.0575 memory: 9310 loss_ce: 0.0141 loss: 0.0141 2022/09/16 17:16:22 - mmengine - INFO - Epoch(train) [4][21900/31614] lr: 3.0000e-05 eta: 9:00:58 time: 0.8204 data_time: 0.0199 memory: 9310 loss_ce: 0.0130 loss: 0.0130 2022/09/16 17:17:42 - mmengine - INFO - Epoch(train) [4][22000/31614] lr: 3.0000e-05 eta: 8:59:40 time: 0.7774 data_time: 0.0293 memory: 9310 loss_ce: 0.0122 loss: 0.0122 2022/09/16 17:18:58 - mmengine - INFO - Epoch(train) [4][22100/31614] lr: 3.0000e-05 eta: 8:58:21 time: 0.7292 data_time: 0.0212 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 17:19:43 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 17:20:16 - mmengine - INFO - Epoch(train) [4][22200/31614] lr: 3.0000e-05 eta: 8:57:02 time: 0.7925 data_time: 0.0201 memory: 9310 loss_ce: 0.0130 loss: 0.0130 2022/09/16 17:21:35 - mmengine - INFO - Epoch(train) [4][22300/31614] lr: 3.0000e-05 eta: 8:55:44 time: 0.7646 data_time: 0.0293 memory: 9310 loss_ce: 0.0099 loss: 0.0099 2022/09/16 17:22:53 - mmengine - INFO - Epoch(train) [4][22400/31614] lr: 3.0000e-05 eta: 8:54:25 time: 0.7748 data_time: 0.0286 memory: 9310 loss_ce: 0.0107 loss: 0.0107 2022/09/16 17:24:11 - mmengine - INFO - Epoch(train) [4][22500/31614] lr: 3.0000e-05 eta: 8:53:06 time: 0.7845 data_time: 0.0200 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/16 17:25:27 - mmengine - INFO - Epoch(train) [4][22600/31614] lr: 3.0000e-05 eta: 8:51:47 time: 0.7149 data_time: 0.0296 memory: 9310 loss_ce: 0.0110 loss: 0.0110 2022/09/16 17:26:44 - mmengine - INFO - Epoch(train) [4][22700/31614] lr: 3.0000e-05 eta: 8:50:28 time: 0.8101 data_time: 0.0221 memory: 9310 loss_ce: 0.0106 loss: 0.0106 2022/09/16 17:28:01 - mmengine - INFO - Epoch(train) [4][22800/31614] lr: 3.0000e-05 eta: 8:49:09 time: 0.7913 data_time: 0.0431 memory: 9310 loss_ce: 0.0138 loss: 0.0138 2022/09/16 17:29:19 - mmengine - INFO - Epoch(train) [4][22900/31614] lr: 3.0000e-05 eta: 8:47:50 time: 0.8284 data_time: 0.0311 memory: 9310 loss_ce: 0.0135 loss: 0.0135 2022/09/16 17:30:38 - mmengine - INFO - Epoch(train) [4][23000/31614] lr: 3.0000e-05 eta: 8:46:31 time: 0.7078 data_time: 0.0289 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/16 17:31:55 - mmengine - INFO - Epoch(train) [4][23100/31614] lr: 3.0000e-05 eta: 8:45:12 time: 0.7861 data_time: 0.0217 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/16 17:32:39 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 17:33:13 - mmengine - INFO - Epoch(train) [4][23200/31614] lr: 3.0000e-05 eta: 8:43:54 time: 0.7958 data_time: 0.0279 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 17:34:30 - mmengine - INFO - Epoch(train) [4][23300/31614] lr: 3.0000e-05 eta: 8:42:35 time: 0.7506 data_time: 0.0216 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/16 17:35:49 - mmengine - INFO - Epoch(train) [4][23400/31614] lr: 3.0000e-05 eta: 8:41:16 time: 0.7101 data_time: 0.0208 memory: 9310 loss_ce: 0.0124 loss: 0.0124 2022/09/16 17:37:08 - mmengine - INFO - Epoch(train) [4][23500/31614] lr: 3.0000e-05 eta: 8:39:58 time: 0.7818 data_time: 0.0301 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/16 17:38:28 - mmengine - INFO - Epoch(train) [4][23600/31614] lr: 3.0000e-05 eta: 8:38:40 time: 0.7813 data_time: 0.0283 memory: 9310 loss_ce: 0.0100 loss: 0.0100 2022/09/16 17:39:46 - mmengine - INFO - Epoch(train) [4][23700/31614] lr: 3.0000e-05 eta: 8:37:21 time: 0.7648 data_time: 0.0214 memory: 9310 loss_ce: 0.0144 loss: 0.0144 2022/09/16 17:41:03 - mmengine - INFO - Epoch(train) [4][23800/31614] lr: 3.0000e-05 eta: 8:36:02 time: 0.7901 data_time: 0.0289 memory: 9310 loss_ce: 0.0143 loss: 0.0143 2022/09/16 17:42:19 - mmengine - INFO - Epoch(train) [4][23900/31614] lr: 3.0000e-05 eta: 8:34:43 time: 0.6631 data_time: 0.0207 memory: 9310 loss_ce: 0.0122 loss: 0.0122 2022/09/16 17:43:37 - mmengine - INFO - Epoch(train) [4][24000/31614] lr: 3.0000e-05 eta: 8:33:24 time: 0.7115 data_time: 0.0173 memory: 9310 loss_ce: 0.0098 loss: 0.0098 2022/09/16 17:44:55 - mmengine - INFO - Epoch(train) [4][24100/31614] lr: 3.0000e-05 eta: 8:32:05 time: 0.8315 data_time: 0.0553 memory: 9310 loss_ce: 0.0112 loss: 0.0112 2022/09/16 17:45:39 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 17:46:11 - mmengine - INFO - Epoch(train) [4][24200/31614] lr: 3.0000e-05 eta: 8:30:46 time: 0.7890 data_time: 0.0319 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/16 17:47:27 - mmengine - INFO - Epoch(train) [4][24300/31614] lr: 3.0000e-05 eta: 8:29:27 time: 0.7647 data_time: 0.0256 memory: 9310 loss_ce: 0.0132 loss: 0.0132 2022/09/16 17:48:43 - mmengine - INFO - Epoch(train) [4][24400/31614] lr: 3.0000e-05 eta: 8:28:07 time: 0.6682 data_time: 0.0087 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/16 17:50:02 - mmengine - INFO - Epoch(train) [4][24500/31614] lr: 3.0000e-05 eta: 8:26:49 time: 0.7239 data_time: 0.0130 memory: 9310 loss_ce: 0.0112 loss: 0.0112 2022/09/16 17:51:21 - mmengine - INFO - Epoch(train) [4][24600/31614] lr: 3.0000e-05 eta: 8:25:31 time: 0.7742 data_time: 0.0192 memory: 9310 loss_ce: 0.0128 loss: 0.0128 2022/09/16 17:52:39 - mmengine - INFO - Epoch(train) [4][24700/31614] lr: 3.0000e-05 eta: 8:24:12 time: 0.7474 data_time: 0.0416 memory: 9310 loss_ce: 0.0153 loss: 0.0153 2022/09/16 17:55:34 - mmengine - INFO - Epoch(train) [4][24800/31614] lr: 3.0000e-05 eta: 8:23:24 time: 0.7328 data_time: 0.0139 memory: 9310 loss_ce: 0.0110 loss: 0.0110 2022/09/16 17:56:50 - mmengine - INFO - Epoch(train) [4][24900/31614] lr: 3.0000e-05 eta: 8:22:05 time: 0.7483 data_time: 0.0220 memory: 9310 loss_ce: 0.0142 loss: 0.0142 2022/09/16 17:58:08 - mmengine - INFO - Epoch(train) [4][25000/31614] lr: 3.0000e-05 eta: 8:20:46 time: 0.7410 data_time: 0.0284 memory: 9310 loss_ce: 0.0149 loss: 0.0149 2022/09/16 17:59:26 - mmengine - INFO - Epoch(train) [4][25100/31614] lr: 3.0000e-05 eta: 8:19:27 time: 0.8355 data_time: 0.0471 memory: 9310 loss_ce: 0.0123 loss: 0.0123 2022/09/16 18:00:16 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 18:00:49 - mmengine - INFO - Epoch(train) [4][25200/31614] lr: 3.0000e-05 eta: 8:18:10 time: 0.7567 data_time: 0.0021 memory: 9310 loss_ce: 0.0114 loss: 0.0114 2022/09/16 18:02:06 - mmengine - INFO - Epoch(train) [4][25300/31614] lr: 3.0000e-05 eta: 8:16:51 time: 0.7635 data_time: 0.0076 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/16 18:03:24 - mmengine - INFO - Epoch(train) [4][25400/31614] lr: 3.0000e-05 eta: 8:15:32 time: 0.7537 data_time: 0.0104 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/16 18:04:46 - mmengine - INFO - Epoch(train) [4][25500/31614] lr: 3.0000e-05 eta: 8:14:14 time: 0.8831 data_time: 0.0763 memory: 9310 loss_ce: 0.0102 loss: 0.0102 2022/09/16 18:06:01 - mmengine - INFO - Epoch(train) [4][25600/31614] lr: 3.0000e-05 eta: 8:12:55 time: 0.8297 data_time: 0.0397 memory: 9310 loss_ce: 0.0090 loss: 0.0090 2022/09/16 18:07:18 - mmengine - INFO - Epoch(train) [4][25700/31614] lr: 3.0000e-05 eta: 8:11:36 time: 0.8168 data_time: 0.0421 memory: 9310 loss_ce: 0.0104 loss: 0.0104 2022/09/16 18:08:35 - mmengine - INFO - Epoch(train) [4][25800/31614] lr: 3.0000e-05 eta: 8:10:17 time: 0.7702 data_time: 0.0095 memory: 9310 loss_ce: 0.0109 loss: 0.0109 2022/09/16 18:09:54 - mmengine - INFO - Epoch(train) [4][25900/31614] lr: 3.0000e-05 eta: 8:08:58 time: 0.7506 data_time: 0.0073 memory: 9310 loss_ce: 0.0107 loss: 0.0107 2022/09/16 18:11:11 - mmengine - INFO - Epoch(train) [4][26000/31614] lr: 3.0000e-05 eta: 8:07:39 time: 0.7543 data_time: 0.0139 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/16 18:12:38 - mmengine - INFO - Epoch(train) [4][26100/31614] lr: 3.0000e-05 eta: 8:06:23 time: 0.8128 data_time: 0.0494 memory: 9310 loss_ce: 0.0127 loss: 0.0127 2022/09/16 18:13:23 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 18:13:56 - mmengine - INFO - Epoch(train) [4][26200/31614] lr: 3.0000e-05 eta: 8:05:04 time: 0.7966 data_time: 0.0439 memory: 9310 loss_ce: 0.0132 loss: 0.0132 2022/09/16 18:15:13 - mmengine - INFO - Epoch(train) [4][26300/31614] lr: 3.0000e-05 eta: 8:03:45 time: 0.7797 data_time: 0.0359 memory: 9310 loss_ce: 0.0114 loss: 0.0114 2022/09/16 18:16:32 - mmengine - INFO - Epoch(train) [4][26400/31614] lr: 3.0000e-05 eta: 8:02:26 time: 0.7263 data_time: 0.0071 memory: 9310 loss_ce: 0.0096 loss: 0.0096 2022/09/16 18:17:49 - mmengine - INFO - Epoch(train) [4][26500/31614] lr: 3.0000e-05 eta: 8:01:07 time: 0.7668 data_time: 0.0114 memory: 9310 loss_ce: 0.0155 loss: 0.0155 2022/09/16 18:19:07 - mmengine - INFO - Epoch(train) [4][26600/31614] lr: 3.0000e-05 eta: 7:59:49 time: 0.7489 data_time: 0.0164 memory: 9310 loss_ce: 0.0174 loss: 0.0174 2022/09/16 18:20:29 - mmengine - INFO - Epoch(train) [4][26700/31614] lr: 3.0000e-05 eta: 7:58:31 time: 0.7754 data_time: 0.0455 memory: 9310 loss_ce: 0.0152 loss: 0.0152 2022/09/16 18:21:48 - mmengine - INFO - Epoch(train) [4][26800/31614] lr: 3.0000e-05 eta: 7:57:12 time: 0.8409 data_time: 0.0674 memory: 9310 loss_ce: 0.0132 loss: 0.0132 2022/09/16 18:23:05 - mmengine - INFO - Epoch(train) [4][26900/31614] lr: 3.0000e-05 eta: 7:55:53 time: 0.8195 data_time: 0.0626 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 18:24:29 - mmengine - INFO - Epoch(train) [4][27000/31614] lr: 3.0000e-05 eta: 7:54:37 time: 0.7521 data_time: 0.0050 memory: 9310 loss_ce: 0.0123 loss: 0.0123 2022/09/16 18:25:47 - mmengine - INFO - Epoch(train) [4][27100/31614] lr: 3.0000e-05 eta: 7:53:18 time: 0.7161 data_time: 0.0113 memory: 9310 loss_ce: 0.0125 loss: 0.0125 2022/09/16 18:26:32 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 18:27:04 - mmengine - INFO - Epoch(train) [4][27200/31614] lr: 3.0000e-05 eta: 7:51:59 time: 0.7258 data_time: 0.0179 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/16 18:28:39 - mmengine - INFO - Epoch(train) [4][27300/31614] lr: 3.0000e-05 eta: 7:50:45 time: 0.8192 data_time: 0.0729 memory: 9310 loss_ce: 0.0133 loss: 0.0133 2022/09/16 18:29:58 - mmengine - INFO - Epoch(train) [4][27400/31614] lr: 3.0000e-05 eta: 7:49:26 time: 0.7969 data_time: 0.0799 memory: 9310 loss_ce: 0.0099 loss: 0.0099 2022/09/16 18:31:15 - mmengine - INFO - Epoch(train) [4][27500/31614] lr: 3.0000e-05 eta: 7:48:07 time: 0.8162 data_time: 0.0616 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 18:32:32 - mmengine - INFO - Epoch(train) [4][27600/31614] lr: 3.0000e-05 eta: 7:46:48 time: 0.7533 data_time: 0.0099 memory: 9310 loss_ce: 0.0084 loss: 0.0084 2022/09/16 18:33:50 - mmengine - INFO - Epoch(train) [4][27700/31614] lr: 3.0000e-05 eta: 7:45:29 time: 0.7493 data_time: 0.0161 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/16 18:35:08 - mmengine - INFO - Epoch(train) [4][27800/31614] lr: 3.0000e-05 eta: 7:44:10 time: 0.6939 data_time: 0.0143 memory: 9310 loss_ce: 0.0144 loss: 0.0144 2022/09/16 18:36:25 - mmengine - INFO - Epoch(train) [4][27900/31614] lr: 3.0000e-05 eta: 7:42:51 time: 0.7990 data_time: 0.0376 memory: 9310 loss_ce: 0.0167 loss: 0.0167 2022/09/16 18:38:08 - mmengine - INFO - Epoch(train) [4][28000/31614] lr: 3.0000e-05 eta: 7:41:40 time: 0.7622 data_time: 0.0331 memory: 9310 loss_ce: 0.0104 loss: 0.0104 2022/09/16 18:40:58 - mmengine - INFO - Epoch(train) [4][28100/31614] lr: 3.0000e-05 eta: 7:40:47 time: 0.8311 data_time: 0.0322 memory: 9310 loss_ce: 0.0134 loss: 0.0134 2022/09/16 18:41:43 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 18:42:15 - mmengine - INFO - Epoch(train) [4][28200/31614] lr: 3.0000e-05 eta: 7:39:28 time: 0.7326 data_time: 0.0132 memory: 9310 loss_ce: 0.0154 loss: 0.0154 2022/09/16 18:43:32 - mmengine - INFO - Epoch(train) [4][28300/31614] lr: 3.0000e-05 eta: 7:38:09 time: 0.7628 data_time: 0.0198 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/16 18:44:48 - mmengine - INFO - Epoch(train) [4][28400/31614] lr: 3.0000e-05 eta: 7:36:49 time: 0.7709 data_time: 0.0163 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/16 18:46:03 - mmengine - INFO - Epoch(train) [4][28500/31614] lr: 3.0000e-05 eta: 7:35:30 time: 0.6762 data_time: 0.0399 memory: 9310 loss_ce: 0.0092 loss: 0.0092 2022/09/16 18:47:19 - mmengine - INFO - Epoch(train) [4][28600/31614] lr: 3.0000e-05 eta: 7:34:10 time: 0.7827 data_time: 0.0360 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 18:48:35 - mmengine - INFO - Epoch(train) [4][28700/31614] lr: 3.0000e-05 eta: 7:32:51 time: 0.7868 data_time: 0.0340 memory: 9310 loss_ce: 0.0098 loss: 0.0098 2022/09/16 18:49:52 - mmengine - INFO - Epoch(train) [4][28800/31614] lr: 3.0000e-05 eta: 7:31:32 time: 0.7745 data_time: 0.0128 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 18:51:10 - mmengine - INFO - Epoch(train) [4][28900/31614] lr: 3.0000e-05 eta: 7:30:13 time: 0.7716 data_time: 0.0199 memory: 9310 loss_ce: 0.0126 loss: 0.0126 2022/09/16 18:52:27 - mmengine - INFO - Epoch(train) [4][29000/31614] lr: 3.0000e-05 eta: 7:28:53 time: 0.7723 data_time: 0.0183 memory: 9310 loss_ce: 0.0111 loss: 0.0111 2022/09/16 18:53:44 - mmengine - INFO - Epoch(train) [4][29100/31614] lr: 3.0000e-05 eta: 7:27:34 time: 0.8009 data_time: 0.0652 memory: 9310 loss_ce: 0.0096 loss: 0.0096 2022/09/16 18:54:28 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 18:55:01 - mmengine - INFO - Epoch(train) [4][29200/31614] lr: 3.0000e-05 eta: 7:26:15 time: 0.7751 data_time: 0.0623 memory: 9310 loss_ce: 0.0127 loss: 0.0127 2022/09/16 18:56:17 - mmengine - INFO - Epoch(train) [4][29300/31614] lr: 3.0000e-05 eta: 7:24:56 time: 0.8164 data_time: 0.0593 memory: 9310 loss_ce: 0.0127 loss: 0.0127 2022/09/16 18:57:46 - mmengine - INFO - Epoch(train) [4][29400/31614] lr: 3.0000e-05 eta: 7:23:40 time: 0.7656 data_time: 0.0134 memory: 9310 loss_ce: 0.0096 loss: 0.0096 2022/09/16 18:59:03 - mmengine - INFO - Epoch(train) [4][29500/31614] lr: 3.0000e-05 eta: 7:22:21 time: 0.7482 data_time: 0.0199 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/16 19:00:37 - mmengine - INFO - Epoch(train) [4][29600/31614] lr: 3.0000e-05 eta: 7:21:06 time: 0.7714 data_time: 0.0170 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 19:01:57 - mmengine - INFO - Epoch(train) [4][29700/31614] lr: 3.0000e-05 eta: 7:19:48 time: 0.7745 data_time: 0.0372 memory: 9310 loss_ce: 0.0108 loss: 0.0108 2022/09/16 19:03:28 - mmengine - INFO - Epoch(train) [4][29800/31614] lr: 3.0000e-05 eta: 7:18:32 time: 0.7814 data_time: 0.0368 memory: 9310 loss_ce: 0.0122 loss: 0.0122 2022/09/16 19:04:55 - mmengine - INFO - Epoch(train) [4][29900/31614] lr: 3.0000e-05 eta: 7:17:16 time: 0.7691 data_time: 0.0338 memory: 9310 loss_ce: 0.0133 loss: 0.0133 2022/09/16 19:06:12 - mmengine - INFO - Epoch(train) [4][30000/31614] lr: 3.0000e-05 eta: 7:15:57 time: 0.7666 data_time: 0.0131 memory: 9310 loss_ce: 0.0107 loss: 0.0107 2022/09/16 19:07:29 - mmengine - INFO - Epoch(train) [4][30100/31614] lr: 3.0000e-05 eta: 7:14:37 time: 0.7503 data_time: 0.0191 memory: 9310 loss_ce: 0.0096 loss: 0.0096 2022/09/16 19:08:15 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 19:08:47 - mmengine - INFO - Epoch(train) [4][30200/31614] lr: 3.0000e-05 eta: 7:13:18 time: 0.7284 data_time: 0.0162 memory: 9310 loss_ce: 0.0103 loss: 0.0103 2022/09/16 19:10:04 - mmengine - INFO - Epoch(train) [4][30300/31614] lr: 3.0000e-05 eta: 7:11:59 time: 0.7839 data_time: 0.0653 memory: 9310 loss_ce: 0.0097 loss: 0.0097 2022/09/16 19:11:21 - mmengine - INFO - Epoch(train) [4][30400/31614] lr: 3.0000e-05 eta: 7:10:40 time: 0.8412 data_time: 0.0540 memory: 9310 loss_ce: 0.0135 loss: 0.0135 2022/09/16 19:12:38 - mmengine - INFO - Epoch(train) [4][30500/31614] lr: 3.0000e-05 eta: 7:09:21 time: 0.8124 data_time: 0.0630 memory: 9310 loss_ce: 0.0093 loss: 0.0093 2022/09/16 19:13:55 - mmengine - INFO - Epoch(train) [4][30600/31614] lr: 3.0000e-05 eta: 7:08:02 time: 0.7641 data_time: 0.0145 memory: 9310 loss_ce: 0.0109 loss: 0.0109 2022/09/16 19:15:11 - mmengine - INFO - Epoch(train) [4][30700/31614] lr: 3.0000e-05 eta: 7:06:42 time: 0.7160 data_time: 0.0194 memory: 9310 loss_ce: 0.0109 loss: 0.0109 2022/09/16 19:16:29 - mmengine - INFO - Epoch(train) [4][30800/31614] lr: 3.0000e-05 eta: 7:05:23 time: 0.7511 data_time: 0.0175 memory: 9310 loss_ce: 0.0124 loss: 0.0124 2022/09/16 19:17:45 - mmengine - INFO - Epoch(train) [4][30900/31614] lr: 3.0000e-05 eta: 7:04:04 time: 0.7747 data_time: 0.0385 memory: 9310 loss_ce: 0.0081 loss: 0.0081 2022/09/16 19:19:01 - mmengine - INFO - Epoch(train) [4][31000/31614] lr: 3.0000e-05 eta: 7:02:45 time: 0.7807 data_time: 0.0354 memory: 9310 loss_ce: 0.0097 loss: 0.0097 2022/09/16 19:20:19 - mmengine - INFO - Epoch(train) [4][31100/31614] lr: 3.0000e-05 eta: 7:01:26 time: 0.7852 data_time: 0.0343 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 19:21:04 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 19:21:37 - mmengine - INFO - Epoch(train) [4][31200/31614] lr: 3.0000e-05 eta: 7:00:07 time: 0.7543 data_time: 0.0133 memory: 9310 loss_ce: 0.0139 loss: 0.0139 2022/09/16 19:22:54 - mmengine - INFO - Epoch(train) [4][31300/31614] lr: 3.0000e-05 eta: 6:58:48 time: 0.7621 data_time: 0.0213 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 19:24:12 - mmengine - INFO - Epoch(train) [4][31400/31614] lr: 3.0000e-05 eta: 6:57:29 time: 0.7773 data_time: 0.0182 memory: 9310 loss_ce: 0.0147 loss: 0.0147 2022/09/16 19:25:30 - mmengine - INFO - Epoch(train) [4][31500/31614] lr: 3.0000e-05 eta: 6:56:10 time: 0.7956 data_time: 0.0627 memory: 9310 loss_ce: 0.0100 loss: 0.0100 2022/09/16 19:26:47 - mmengine - INFO - Epoch(train) [4][31600/31614] lr: 3.0000e-05 eta: 6:54:51 time: 0.8158 data_time: 0.0515 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 19:26:57 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 19:26:57 - mmengine - INFO - Saving checkpoint at 4 epochs 2022/09/16 19:27:36 - mmengine - INFO - Epoch(val) [4][100/1918] eta: 0:04:50 time: 0.1599 data_time: 0.0006 memory: 9310 2022/09/16 19:27:52 - mmengine - INFO - Epoch(val) [4][200/1918] eta: 0:04:39 time: 0.1628 data_time: 0.0007 memory: 230 2022/09/16 19:28:08 - mmengine - INFO - Epoch(val) [4][300/1918] eta: 0:04:17 time: 0.1594 data_time: 0.0010 memory: 230 2022/09/16 19:28:24 - mmengine - INFO - Epoch(val) [4][400/1918] eta: 0:03:59 time: 0.1579 data_time: 0.0006 memory: 230 2022/09/16 19:28:39 - mmengine - INFO - Epoch(val) [4][500/1918] eta: 0:03:43 time: 0.1577 data_time: 0.0006 memory: 230 2022/09/16 19:28:55 - mmengine - INFO - Epoch(val) [4][600/1918] eta: 0:03:26 time: 0.1563 data_time: 0.0005 memory: 230 2022/09/16 19:29:11 - mmengine - INFO - Epoch(val) [4][700/1918] eta: 0:03:10 time: 0.1567 data_time: 0.0005 memory: 230 2022/09/16 19:29:26 - mmengine - INFO - Epoch(val) [4][800/1918] eta: 0:02:51 time: 0.1533 data_time: 0.0005 memory: 230 2022/09/16 19:29:42 - mmengine - INFO - Epoch(val) [4][900/1918] eta: 0:02:37 time: 0.1544 data_time: 0.0005 memory: 230 2022/09/16 19:29:58 - mmengine - INFO - Epoch(val) [4][1000/1918] eta: 0:02:24 time: 0.1577 data_time: 0.0006 memory: 230 2022/09/16 19:30:13 - mmengine - INFO - Epoch(val) [4][1100/1918] eta: 0:02:09 time: 0.1588 data_time: 0.0006 memory: 230 2022/09/16 19:30:29 - mmengine - INFO - Epoch(val) [4][1200/1918] eta: 0:01:51 time: 0.1558 data_time: 0.0006 memory: 230 2022/09/16 19:30:45 - mmengine - INFO - Epoch(val) [4][1300/1918] eta: 0:01:41 time: 0.1639 data_time: 0.0006 memory: 230 2022/09/16 19:31:01 - mmengine - INFO - Epoch(val) [4][1400/1918] eta: 0:01:20 time: 0.1553 data_time: 0.0005 memory: 230 2022/09/16 19:31:17 - mmengine - INFO - Epoch(val) [4][1500/1918] eta: 0:01:05 time: 0.1570 data_time: 0.0006 memory: 230 2022/09/16 19:31:32 - mmengine - INFO - Epoch(val) [4][1600/1918] eta: 0:00:49 time: 0.1554 data_time: 0.0006 memory: 230 2022/09/16 19:31:48 - mmengine - INFO - Epoch(val) [4][1700/1918] eta: 0:00:37 time: 0.1706 data_time: 0.0027 memory: 230 2022/09/16 19:32:04 - mmengine - INFO - Epoch(val) [4][1800/1918] eta: 0:00:18 time: 0.1555 data_time: 0.0005 memory: 230 2022/09/16 19:32:20 - mmengine - INFO - Epoch(val) [4][1900/1918] eta: 0:00:02 time: 0.1626 data_time: 0.0006 memory: 230 2022/09/16 19:32:23 - mmengine - INFO - Epoch(val) [4][1918/1918] CUTE80/recog/word_acc_ignore_case_symbol: 0.8576 IIIT5K/recog/word_acc_ignore_case_symbol: 0.9423 SVT/recog/word_acc_ignore_case_symbol: 0.9011 SVTP/recog/word_acc_ignore_case_symbol: 0.8496 IC13/recog/word_acc_ignore_case_symbol: 0.9547 IC15/recog/word_acc_ignore_case_symbol: 0.7882 2022/09/16 19:33:46 - mmengine - INFO - Epoch(train) [5][100/31614] lr: 3.0000e-06 eta: 6:53:21 time: 0.8329 data_time: 0.0740 memory: 9310 loss_ce: 0.0149 loss: 0.0149 2022/09/16 19:35:06 - mmengine - INFO - Epoch(train) [5][200/31614] lr: 3.0000e-06 eta: 6:52:03 time: 0.8118 data_time: 0.0805 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/16 19:36:24 - mmengine - INFO - Epoch(train) [5][300/31614] lr: 3.0000e-06 eta: 6:50:44 time: 0.8090 data_time: 0.0338 memory: 9310 loss_ce: 0.0123 loss: 0.0123 2022/09/16 19:37:42 - mmengine - INFO - Epoch(train) [5][400/31614] lr: 3.0000e-06 eta: 6:49:25 time: 0.7643 data_time: 0.0094 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/16 19:39:11 - mmengine - INFO - Epoch(train) [5][500/31614] lr: 3.0000e-06 eta: 6:48:09 time: 0.9436 data_time: 0.0389 memory: 9310 loss_ce: 0.0123 loss: 0.0123 2022/09/16 19:39:46 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 19:40:36 - mmengine - INFO - Epoch(train) [5][600/31614] lr: 3.0000e-06 eta: 6:46:52 time: 1.2854 data_time: 0.0121 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/16 19:42:00 - mmengine - INFO - Epoch(train) [5][700/31614] lr: 3.0000e-06 eta: 6:45:34 time: 0.7567 data_time: 0.0434 memory: 9310 loss_ce: 0.0135 loss: 0.0135 2022/09/16 19:43:30 - mmengine - INFO - Epoch(train) [5][800/31614] lr: 3.0000e-06 eta: 6:44:18 time: 0.8238 data_time: 0.0462 memory: 9310 loss_ce: 0.0084 loss: 0.0084 2022/09/16 19:44:49 - mmengine - INFO - Epoch(train) [5][900/31614] lr: 3.0000e-06 eta: 6:43:00 time: 0.7822 data_time: 0.0325 memory: 9310 loss_ce: 0.0137 loss: 0.0137 2022/09/16 19:46:06 - mmengine - INFO - Epoch(train) [5][1000/31614] lr: 3.0000e-06 eta: 6:41:41 time: 0.7722 data_time: 0.0115 memory: 9310 loss_ce: 0.0129 loss: 0.0129 2022/09/16 19:47:30 - mmengine - INFO - Epoch(train) [5][1100/31614] lr: 3.0000e-06 eta: 6:40:23 time: 0.8133 data_time: 0.0117 memory: 9310 loss_ce: 0.0151 loss: 0.0151 2022/09/16 19:48:46 - mmengine - INFO - Epoch(train) [5][1200/31614] lr: 3.0000e-06 eta: 6:39:04 time: 0.7621 data_time: 0.0113 memory: 9310 loss_ce: 0.0109 loss: 0.0109 2022/09/16 19:50:05 - mmengine - INFO - Epoch(train) [5][1300/31614] lr: 3.0000e-06 eta: 6:37:45 time: 0.7514 data_time: 0.0374 memory: 9310 loss_ce: 0.0124 loss: 0.0124 2022/09/16 19:51:40 - mmengine - INFO - Epoch(train) [5][1400/31614] lr: 3.0000e-06 eta: 6:36:30 time: 0.7494 data_time: 0.0488 memory: 9310 loss_ce: 0.0125 loss: 0.0125 2022/09/16 19:52:57 - mmengine - INFO - Epoch(train) [5][1500/31614] lr: 3.0000e-06 eta: 6:35:11 time: 0.7627 data_time: 0.0372 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/16 19:53:43 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 19:54:27 - mmengine - INFO - Epoch(train) [5][1600/31614] lr: 3.0000e-06 eta: 6:33:55 time: 0.7869 data_time: 0.0196 memory: 9310 loss_ce: 0.0146 loss: 0.0146 2022/09/16 19:56:13 - mmengine - INFO - Epoch(train) [5][1700/31614] lr: 3.0000e-06 eta: 6:32:42 time: 0.7279 data_time: 0.0131 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/16 19:57:30 - mmengine - INFO - Epoch(train) [5][1800/31614] lr: 3.0000e-06 eta: 6:31:23 time: 0.8345 data_time: 0.0131 memory: 9310 loss_ce: 0.0105 loss: 0.0105 2022/09/16 19:59:00 - mmengine - INFO - Epoch(train) [5][1900/31614] lr: 3.0000e-06 eta: 6:30:07 time: 0.7547 data_time: 0.0335 memory: 9310 loss_ce: 0.0122 loss: 0.0122 2022/09/16 20:00:18 - mmengine - INFO - Epoch(train) [5][2000/31614] lr: 3.0000e-06 eta: 6:28:48 time: 0.8189 data_time: 0.0598 memory: 9310 loss_ce: 0.0114 loss: 0.0114 2022/09/16 20:01:35 - mmengine - INFO - Epoch(train) [5][2100/31614] lr: 3.0000e-06 eta: 6:27:29 time: 0.7506 data_time: 0.0298 memory: 9310 loss_ce: 0.0132 loss: 0.0132 2022/09/16 20:02:53 - mmengine - INFO - Epoch(train) [5][2200/31614] lr: 3.0000e-06 eta: 6:26:10 time: 0.7498 data_time: 0.0474 memory: 9310 loss_ce: 0.0087 loss: 0.0087 2022/09/16 20:04:11 - mmengine - INFO - Epoch(train) [5][2300/31614] lr: 3.0000e-06 eta: 6:24:51 time: 0.7517 data_time: 0.0178 memory: 9310 loss_ce: 0.0138 loss: 0.0138 2022/09/16 20:05:30 - mmengine - INFO - Epoch(train) [5][2400/31614] lr: 3.0000e-06 eta: 6:23:32 time: 0.7621 data_time: 0.0159 memory: 9310 loss_ce: 0.0139 loss: 0.0139 2022/09/16 20:06:48 - mmengine - INFO - Epoch(train) [5][2500/31614] lr: 3.0000e-06 eta: 6:22:13 time: 0.7880 data_time: 0.0355 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/16 20:07:21 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 20:08:04 - mmengine - INFO - Epoch(train) [5][2600/31614] lr: 3.0000e-06 eta: 6:20:54 time: 0.7718 data_time: 0.0447 memory: 9310 loss_ce: 0.0107 loss: 0.0107 2022/09/16 20:09:23 - mmengine - INFO - Epoch(train) [5][2700/31614] lr: 3.0000e-06 eta: 6:19:35 time: 0.7839 data_time: 0.0306 memory: 9310 loss_ce: 0.0138 loss: 0.0138 2022/09/16 20:10:41 - mmengine - INFO - Epoch(train) [5][2800/31614] lr: 3.0000e-06 eta: 6:18:16 time: 0.7842 data_time: 0.0220 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/16 20:11:57 - mmengine - INFO - Epoch(train) [5][2900/31614] lr: 3.0000e-06 eta: 6:16:57 time: 0.7763 data_time: 0.0176 memory: 9310 loss_ce: 0.0092 loss: 0.0092 2022/09/16 20:13:14 - mmengine - INFO - Epoch(train) [5][3000/31614] lr: 3.0000e-06 eta: 6:15:38 time: 0.7502 data_time: 0.0204 memory: 9310 loss_ce: 0.0100 loss: 0.0100 2022/09/16 20:14:33 - mmengine - INFO - Epoch(train) [5][3100/31614] lr: 3.0000e-06 eta: 6:14:19 time: 0.8074 data_time: 0.0365 memory: 9310 loss_ce: 0.0082 loss: 0.0082 2022/09/16 20:15:50 - mmengine - INFO - Epoch(train) [5][3200/31614] lr: 3.0000e-06 eta: 6:13:00 time: 0.8150 data_time: 0.0382 memory: 9310 loss_ce: 0.0114 loss: 0.0114 2022/09/16 20:17:08 - mmengine - INFO - Epoch(train) [5][3300/31614] lr: 3.0000e-06 eta: 6:11:41 time: 0.7886 data_time: 0.0318 memory: 9310 loss_ce: 0.0107 loss: 0.0107 2022/09/16 20:18:26 - mmengine - INFO - Epoch(train) [5][3400/31614] lr: 3.0000e-06 eta: 6:10:22 time: 0.7619 data_time: 0.0243 memory: 9310 loss_ce: 0.0077 loss: 0.0077 2022/09/16 20:19:45 - mmengine - INFO - Epoch(train) [5][3500/31614] lr: 3.0000e-06 eta: 6:09:03 time: 0.7773 data_time: 0.0194 memory: 9310 loss_ce: 0.0101 loss: 0.0101 2022/09/16 20:20:18 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 20:21:00 - mmengine - INFO - Epoch(train) [5][3600/31614] lr: 3.0000e-06 eta: 6:07:44 time: 0.7681 data_time: 0.0189 memory: 9310 loss_ce: 0.0109 loss: 0.0109 2022/09/16 20:22:17 - mmengine - INFO - Epoch(train) [5][3700/31614] lr: 3.0000e-06 eta: 6:06:24 time: 0.7825 data_time: 0.0336 memory: 9310 loss_ce: 0.0089 loss: 0.0089 2022/09/16 20:23:35 - mmengine - INFO - Epoch(train) [5][3800/31614] lr: 3.0000e-06 eta: 6:05:05 time: 0.8151 data_time: 0.0405 memory: 9310 loss_ce: 0.0101 loss: 0.0101 2022/09/16 20:24:51 - mmengine - INFO - Epoch(train) [5][3900/31614] lr: 3.0000e-06 eta: 6:03:46 time: 0.7841 data_time: 0.0305 memory: 9310 loss_ce: 0.0113 loss: 0.0113 2022/09/16 20:26:07 - mmengine - INFO - Epoch(train) [5][4000/31614] lr: 3.0000e-06 eta: 6:02:27 time: 0.7051 data_time: 0.0232 memory: 9310 loss_ce: 0.0127 loss: 0.0127 2022/09/16 20:27:25 - mmengine - INFO - Epoch(train) [5][4100/31614] lr: 3.0000e-06 eta: 6:01:08 time: 0.7418 data_time: 0.0203 memory: 9310 loss_ce: 0.0152 loss: 0.0152 2022/09/16 20:28:42 - mmengine - INFO - Epoch(train) [5][4200/31614] lr: 3.0000e-06 eta: 5:59:49 time: 0.7527 data_time: 0.0191 memory: 9310 loss_ce: 0.0135 loss: 0.0135 2022/09/16 20:29:58 - mmengine - INFO - Epoch(train) [5][4300/31614] lr: 3.0000e-06 eta: 5:58:29 time: 0.7794 data_time: 0.0569 memory: 9310 loss_ce: 0.0125 loss: 0.0125 2022/09/16 20:31:14 - mmengine - INFO - Epoch(train) [5][4400/31614] lr: 3.0000e-06 eta: 5:57:10 time: 0.7649 data_time: 0.0655 memory: 9310 loss_ce: 0.0093 loss: 0.0093 2022/09/16 20:32:31 - mmengine - INFO - Epoch(train) [5][4500/31614] lr: 3.0000e-06 eta: 5:55:51 time: 0.7604 data_time: 0.0255 memory: 9310 loss_ce: 0.0155 loss: 0.0155 2022/09/16 20:33:05 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 20:33:49 - mmengine - INFO - Epoch(train) [5][4600/31614] lr: 3.0000e-06 eta: 5:54:32 time: 0.7501 data_time: 0.0192 memory: 9310 loss_ce: 0.0114 loss: 0.0114 2022/09/16 20:35:06 - mmengine - INFO - Epoch(train) [5][4700/31614] lr: 3.0000e-06 eta: 5:53:13 time: 0.7591 data_time: 0.0205 memory: 9310 loss_ce: 0.0113 loss: 0.0113 2022/09/16 20:36:23 - mmengine - INFO - Epoch(train) [5][4800/31614] lr: 3.0000e-06 eta: 5:51:54 time: 0.7965 data_time: 0.0340 memory: 9310 loss_ce: 0.0123 loss: 0.0123 2022/09/16 20:37:41 - mmengine - INFO - Epoch(train) [5][4900/31614] lr: 3.0000e-06 eta: 5:50:35 time: 0.7958 data_time: 0.0263 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/16 20:38:58 - mmengine - INFO - Epoch(train) [5][5000/31614] lr: 3.0000e-06 eta: 5:49:16 time: 0.7724 data_time: 0.0375 memory: 9310 loss_ce: 0.0099 loss: 0.0099 2022/09/16 20:40:16 - mmengine - INFO - Epoch(train) [5][5100/31614] lr: 3.0000e-06 eta: 5:47:57 time: 0.7486 data_time: 0.0265 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 20:41:33 - mmengine - INFO - Epoch(train) [5][5200/31614] lr: 3.0000e-06 eta: 5:46:38 time: 0.7325 data_time: 0.0210 memory: 9310 loss_ce: 0.0130 loss: 0.0130 2022/09/16 20:42:49 - mmengine - INFO - Epoch(train) [5][5300/31614] lr: 3.0000e-06 eta: 5:45:19 time: 0.7716 data_time: 0.0486 memory: 9310 loss_ce: 0.0137 loss: 0.0137 2022/09/16 20:44:08 - mmengine - INFO - Epoch(train) [5][5400/31614] lr: 3.0000e-06 eta: 5:44:00 time: 0.7911 data_time: 0.0188 memory: 9310 loss_ce: 0.0154 loss: 0.0154 2022/09/16 20:45:25 - mmengine - INFO - Epoch(train) [5][5500/31614] lr: 3.0000e-06 eta: 5:42:41 time: 0.7243 data_time: 0.0245 memory: 9310 loss_ce: 0.0111 loss: 0.0111 2022/09/16 20:45:59 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 20:46:42 - mmengine - INFO - Epoch(train) [5][5600/31614] lr: 3.0000e-06 eta: 5:41:22 time: 0.7814 data_time: 0.0383 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 20:48:00 - mmengine - INFO - Epoch(train) [5][5700/31614] lr: 3.0000e-06 eta: 5:40:03 time: 0.7742 data_time: 0.0299 memory: 9310 loss_ce: 0.0112 loss: 0.0112 2022/09/16 20:49:19 - mmengine - INFO - Epoch(train) [5][5800/31614] lr: 3.0000e-06 eta: 5:38:44 time: 0.8181 data_time: 0.0468 memory: 9310 loss_ce: 0.0113 loss: 0.0113 2022/09/16 20:50:36 - mmengine - INFO - Epoch(train) [5][5900/31614] lr: 3.0000e-06 eta: 5:37:25 time: 0.7858 data_time: 0.0185 memory: 9310 loss_ce: 0.0141 loss: 0.0141 2022/09/16 20:51:55 - mmengine - INFO - Epoch(train) [5][6000/31614] lr: 3.0000e-06 eta: 5:36:06 time: 0.7858 data_time: 0.0210 memory: 9310 loss_ce: 0.0155 loss: 0.0155 2022/09/16 20:53:13 - mmengine - INFO - Epoch(train) [5][6100/31614] lr: 3.0000e-06 eta: 5:34:47 time: 0.7865 data_time: 0.0252 memory: 9310 loss_ce: 0.0136 loss: 0.0136 2022/09/16 20:54:32 - mmengine - INFO - Epoch(train) [5][6200/31614] lr: 3.0000e-06 eta: 5:33:29 time: 0.7792 data_time: 0.0339 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 20:55:51 - mmengine - INFO - Epoch(train) [5][6300/31614] lr: 3.0000e-06 eta: 5:32:10 time: 0.8491 data_time: 0.0566 memory: 9310 loss_ce: 0.0113 loss: 0.0113 2022/09/16 20:57:10 - mmengine - INFO - Epoch(train) [5][6400/31614] lr: 3.0000e-06 eta: 5:30:51 time: 0.8182 data_time: 0.0249 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/16 20:58:29 - mmengine - INFO - Epoch(train) [5][6500/31614] lr: 3.0000e-06 eta: 5:29:33 time: 0.7220 data_time: 0.0420 memory: 9310 loss_ce: 0.0110 loss: 0.0110 2022/09/16 20:59:02 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 20:59:46 - mmengine - INFO - Epoch(train) [5][6600/31614] lr: 3.0000e-06 eta: 5:28:14 time: 0.7759 data_time: 0.0222 memory: 9310 loss_ce: 0.0139 loss: 0.0139 2022/09/16 21:01:05 - mmengine - INFO - Epoch(train) [5][6700/31614] lr: 3.0000e-06 eta: 5:26:55 time: 0.7730 data_time: 0.0190 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 21:02:30 - mmengine - INFO - Epoch(train) [5][6800/31614] lr: 3.0000e-06 eta: 5:25:37 time: 0.8322 data_time: 0.0631 memory: 9310 loss_ce: 0.0106 loss: 0.0106 2022/09/16 21:03:50 - mmengine - INFO - Epoch(train) [5][6900/31614] lr: 3.0000e-06 eta: 5:24:19 time: 0.8184 data_time: 0.0253 memory: 9310 loss_ce: 0.0100 loss: 0.0100 2022/09/16 21:05:08 - mmengine - INFO - Epoch(train) [5][7000/31614] lr: 3.0000e-06 eta: 5:23:00 time: 0.7635 data_time: 0.0265 memory: 9310 loss_ce: 0.0134 loss: 0.0134 2022/09/16 21:07:16 - mmengine - INFO - Epoch(train) [5][7100/31614] lr: 3.0000e-06 eta: 5:21:50 time: 0.7839 data_time: 0.0225 memory: 9310 loss_ce: 0.0100 loss: 0.0100 2022/09/16 21:08:33 - mmengine - INFO - Epoch(train) [5][7200/31614] lr: 3.0000e-06 eta: 5:20:31 time: 0.8238 data_time: 0.0589 memory: 9310 loss_ce: 0.0080 loss: 0.0080 2022/09/16 21:09:50 - mmengine - INFO - Epoch(train) [5][7300/31614] lr: 3.0000e-06 eta: 5:19:12 time: 0.7513 data_time: 0.0190 memory: 9310 loss_ce: 0.0107 loss: 0.0107 2022/09/16 21:11:09 - mmengine - INFO - Epoch(train) [5][7400/31614] lr: 3.0000e-06 eta: 5:17:53 time: 0.7746 data_time: 0.0326 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/16 21:12:26 - mmengine - INFO - Epoch(train) [5][7500/31614] lr: 3.0000e-06 eta: 5:16:34 time: 0.7836 data_time: 0.0273 memory: 9310 loss_ce: 0.0085 loss: 0.0085 2022/09/16 21:12:59 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 21:13:43 - mmengine - INFO - Epoch(train) [5][7600/31614] lr: 3.0000e-06 eta: 5:15:15 time: 0.7857 data_time: 0.0309 memory: 9310 loss_ce: 0.0113 loss: 0.0113 2022/09/16 21:15:07 - mmengine - INFO - Epoch(train) [5][7700/31614] lr: 3.0000e-06 eta: 5:13:57 time: 0.8151 data_time: 0.0519 memory: 9310 loss_ce: 0.0111 loss: 0.0111 2022/09/16 21:16:34 - mmengine - INFO - Epoch(train) [5][7800/31614] lr: 3.0000e-06 eta: 5:12:40 time: 0.8189 data_time: 0.0279 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/16 21:17:56 - mmengine - INFO - Epoch(train) [5][7900/31614] lr: 3.0000e-06 eta: 5:11:22 time: 0.7499 data_time: 0.0205 memory: 9310 loss_ce: 0.0103 loss: 0.0103 2022/09/16 21:19:15 - mmengine - INFO - Epoch(train) [5][8000/31614] lr: 3.0000e-06 eta: 5:10:03 time: 0.7767 data_time: 0.0315 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/16 21:20:36 - mmengine - INFO - Epoch(train) [5][8100/31614] lr: 3.0000e-06 eta: 5:08:45 time: 0.7819 data_time: 0.0247 memory: 9310 loss_ce: 0.0135 loss: 0.0135 2022/09/16 21:21:54 - mmengine - INFO - Epoch(train) [5][8200/31614] lr: 3.0000e-06 eta: 5:07:26 time: 0.7889 data_time: 0.0265 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/16 21:23:25 - mmengine - INFO - Epoch(train) [5][8300/31614] lr: 3.0000e-06 eta: 5:06:09 time: 0.7991 data_time: 0.0249 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 21:24:43 - mmengine - INFO - Epoch(train) [5][8400/31614] lr: 3.0000e-06 eta: 5:04:50 time: 0.7805 data_time: 0.0649 memory: 9310 loss_ce: 0.0131 loss: 0.0131 2022/09/16 21:26:02 - mmengine - INFO - Epoch(train) [5][8500/31614] lr: 3.0000e-06 eta: 5:03:31 time: 0.7463 data_time: 0.0200 memory: 9310 loss_ce: 0.0102 loss: 0.0102 2022/09/16 21:26:36 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 21:27:25 - mmengine - INFO - Epoch(train) [5][8600/31614] lr: 3.0000e-06 eta: 5:02:13 time: 0.7789 data_time: 0.0304 memory: 9310 loss_ce: 0.0099 loss: 0.0099 2022/09/16 21:28:45 - mmengine - INFO - Epoch(train) [5][8700/31614] lr: 3.0000e-06 eta: 5:00:55 time: 0.7849 data_time: 0.0235 memory: 9310 loss_ce: 0.0095 loss: 0.0095 2022/09/16 21:30:04 - mmengine - INFO - Epoch(train) [5][8800/31614] lr: 3.0000e-06 eta: 4:59:36 time: 0.7373 data_time: 0.0232 memory: 9310 loss_ce: 0.0109 loss: 0.0109 2022/09/16 21:31:21 - mmengine - INFO - Epoch(train) [5][8900/31614] lr: 3.0000e-06 eta: 4:58:17 time: 0.7527 data_time: 0.0217 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 21:32:40 - mmengine - INFO - Epoch(train) [5][9000/31614] lr: 3.0000e-06 eta: 4:56:58 time: 0.7840 data_time: 0.0261 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/16 21:33:57 - mmengine - INFO - Epoch(train) [5][9100/31614] lr: 3.0000e-06 eta: 4:55:39 time: 0.7654 data_time: 0.0201 memory: 9310 loss_ce: 0.0131 loss: 0.0131 2022/09/16 21:35:16 - mmengine - INFO - Epoch(train) [5][9200/31614] lr: 3.0000e-06 eta: 4:54:20 time: 0.8255 data_time: 0.0330 memory: 9310 loss_ce: 0.0123 loss: 0.0123 2022/09/16 21:36:49 - mmengine - INFO - Epoch(train) [5][9300/31614] lr: 3.0000e-06 eta: 4:53:04 time: 0.7586 data_time: 0.0230 memory: 9310 loss_ce: 0.0103 loss: 0.0103 2022/09/16 21:38:19 - mmengine - INFO - Epoch(train) [5][9400/31614] lr: 3.0000e-06 eta: 4:51:47 time: 0.7833 data_time: 0.0273 memory: 9310 loss_ce: 0.0100 loss: 0.0100 2022/09/16 21:40:53 - mmengine - INFO - Epoch(train) [5][9500/31614] lr: 3.0000e-06 eta: 4:50:40 time: 0.7649 data_time: 0.0228 memory: 9310 loss_ce: 0.0114 loss: 0.0114 2022/09/16 21:41:27 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 21:42:13 - mmengine - INFO - Epoch(train) [5][9600/31614] lr: 3.0000e-06 eta: 4:49:21 time: 0.7699 data_time: 0.0024 memory: 9310 loss_ce: 0.0086 loss: 0.0086 2022/09/16 21:43:36 - mmengine - INFO - Epoch(train) [5][9700/31614] lr: 3.0000e-06 eta: 4:48:03 time: 0.7498 data_time: 0.0025 memory: 9310 loss_ce: 0.0111 loss: 0.0111 2022/09/16 21:44:54 - mmengine - INFO - Epoch(train) [5][9800/31614] lr: 3.0000e-06 eta: 4:46:44 time: 0.7704 data_time: 0.0069 memory: 9310 loss_ce: 0.0133 loss: 0.0133 2022/09/16 21:46:11 - mmengine - INFO - Epoch(train) [5][9900/31614] lr: 3.0000e-06 eta: 4:45:25 time: 0.8006 data_time: 0.0891 memory: 9310 loss_ce: 0.0114 loss: 0.0114 2022/09/16 21:47:30 - mmengine - INFO - Epoch(train) [5][10000/31614] lr: 3.0000e-06 eta: 4:44:06 time: 0.8407 data_time: 0.0907 memory: 9310 loss_ce: 0.0132 loss: 0.0132 2022/09/16 21:48:47 - mmengine - INFO - Epoch(train) [5][10100/31614] lr: 3.0000e-06 eta: 4:42:47 time: 0.7120 data_time: 0.0481 memory: 9310 loss_ce: 0.0107 loss: 0.0107 2022/09/16 21:50:05 - mmengine - INFO - Epoch(train) [5][10200/31614] lr: 3.0000e-06 eta: 4:41:28 time: 0.7560 data_time: 0.0082 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/16 21:51:23 - mmengine - INFO - Epoch(train) [5][10300/31614] lr: 3.0000e-06 eta: 4:40:09 time: 0.7644 data_time: 0.0414 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/16 21:52:41 - mmengine - INFO - Epoch(train) [5][10400/31614] lr: 3.0000e-06 eta: 4:38:50 time: 0.7570 data_time: 0.0046 memory: 9310 loss_ce: 0.0111 loss: 0.0111 2022/09/16 21:53:59 - mmengine - INFO - Epoch(train) [5][10500/31614] lr: 3.0000e-06 eta: 4:37:31 time: 0.7460 data_time: 0.0413 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/16 21:54:33 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 21:55:18 - mmengine - INFO - Epoch(train) [5][10600/31614] lr: 3.0000e-06 eta: 4:36:12 time: 0.8207 data_time: 0.0379 memory: 9310 loss_ce: 0.0096 loss: 0.0096 2022/09/16 21:56:37 - mmengine - INFO - Epoch(train) [5][10700/31614] lr: 3.0000e-06 eta: 4:34:53 time: 0.8163 data_time: 0.0570 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/16 21:57:55 - mmengine - INFO - Epoch(train) [5][10800/31614] lr: 3.0000e-06 eta: 4:33:34 time: 0.7870 data_time: 0.0183 memory: 9310 loss_ce: 0.0125 loss: 0.0125 2022/09/16 21:59:13 - mmengine - INFO - Epoch(train) [5][10900/31614] lr: 3.0000e-06 eta: 4:32:15 time: 0.7659 data_time: 0.0230 memory: 9310 loss_ce: 0.0098 loss: 0.0098 2022/09/16 22:00:31 - mmengine - INFO - Epoch(train) [5][11000/31614] lr: 3.0000e-06 eta: 4:30:56 time: 0.7551 data_time: 0.0056 memory: 9310 loss_ce: 0.0102 loss: 0.0102 2022/09/16 22:01:48 - mmengine - INFO - Epoch(train) [5][11100/31614] lr: 3.0000e-06 eta: 4:29:37 time: 0.8168 data_time: 0.0662 memory: 9310 loss_ce: 0.0092 loss: 0.0092 2022/09/16 22:03:07 - mmengine - INFO - Epoch(train) [5][11200/31614] lr: 3.0000e-06 eta: 4:28:18 time: 0.7857 data_time: 0.0341 memory: 9310 loss_ce: 0.0097 loss: 0.0097 2022/09/16 22:04:24 - mmengine - INFO - Epoch(train) [5][11300/31614] lr: 3.0000e-06 eta: 4:26:59 time: 0.7812 data_time: 0.0344 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/16 22:05:41 - mmengine - INFO - Epoch(train) [5][11400/31614] lr: 3.0000e-06 eta: 4:25:40 time: 0.7463 data_time: 0.0201 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/16 22:06:59 - mmengine - INFO - Epoch(train) [5][11500/31614] lr: 3.0000e-06 eta: 4:24:21 time: 0.7851 data_time: 0.0212 memory: 9310 loss_ce: 0.0104 loss: 0.0104 2022/09/16 22:07:34 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 22:08:18 - mmengine - INFO - Epoch(train) [5][11600/31614] lr: 3.0000e-06 eta: 4:23:02 time: 0.7888 data_time: 0.0050 memory: 9310 loss_ce: 0.0111 loss: 0.0111 2022/09/16 22:09:37 - mmengine - INFO - Epoch(train) [5][11700/31614] lr: 3.0000e-06 eta: 4:21:43 time: 0.7901 data_time: 0.0366 memory: 9310 loss_ce: 0.0102 loss: 0.0102 2022/09/16 22:10:55 - mmengine - INFO - Epoch(train) [5][11800/31614] lr: 3.0000e-06 eta: 4:20:24 time: 0.7855 data_time: 0.0336 memory: 9310 loss_ce: 0.0103 loss: 0.0103 2022/09/16 22:12:25 - mmengine - INFO - Epoch(train) [5][11900/31614] lr: 3.0000e-06 eta: 4:19:07 time: 0.7049 data_time: 0.0293 memory: 9310 loss_ce: 0.0110 loss: 0.0110 2022/09/16 22:13:51 - mmengine - INFO - Epoch(train) [5][12000/31614] lr: 3.0000e-06 eta: 4:17:49 time: 0.8126 data_time: 0.0488 memory: 9310 loss_ce: 0.0109 loss: 0.0109 2022/09/16 22:15:10 - mmengine - INFO - Epoch(train) [5][12100/31614] lr: 3.0000e-06 eta: 4:16:30 time: 0.8003 data_time: 0.0471 memory: 9310 loss_ce: 0.0146 loss: 0.0146 2022/09/16 22:16:51 - mmengine - INFO - Epoch(train) [5][12200/31614] lr: 3.0000e-06 eta: 4:15:14 time: 2.0957 data_time: 0.0051 memory: 9310 loss_ce: 0.0100 loss: 0.0100 2022/09/16 22:18:13 - mmengine - INFO - Epoch(train) [5][12300/31614] lr: 3.0000e-06 eta: 4:13:56 time: 0.7835 data_time: 0.0349 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/16 22:19:32 - mmengine - INFO - Epoch(train) [5][12400/31614] lr: 3.0000e-06 eta: 4:12:37 time: 0.8131 data_time: 0.0656 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/16 22:20:51 - mmengine - INFO - Epoch(train) [5][12500/31614] lr: 3.0000e-06 eta: 4:11:18 time: 0.7933 data_time: 0.0265 memory: 9310 loss_ce: 0.0129 loss: 0.0129 2022/09/16 22:21:25 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 22:22:09 - mmengine - INFO - Epoch(train) [5][12600/31614] lr: 3.0000e-06 eta: 4:09:59 time: 0.7990 data_time: 0.0191 memory: 9310 loss_ce: 0.0124 loss: 0.0124 2022/09/16 22:23:26 - mmengine - INFO - Epoch(train) [5][12700/31614] lr: 3.0000e-06 eta: 4:08:40 time: 0.7507 data_time: 0.0233 memory: 9310 loss_ce: 0.0132 loss: 0.0132 2022/09/16 22:24:43 - mmengine - INFO - Epoch(train) [5][12800/31614] lr: 3.0000e-06 eta: 4:07:21 time: 0.7465 data_time: 0.0115 memory: 9310 loss_ce: 0.0112 loss: 0.0112 2022/09/16 22:26:01 - mmengine - INFO - Epoch(train) [5][12900/31614] lr: 3.0000e-06 eta: 4:06:02 time: 0.7787 data_time: 0.0679 memory: 9310 loss_ce: 0.0113 loss: 0.0113 2022/09/16 22:27:21 - mmengine - INFO - Epoch(train) [5][13000/31614] lr: 3.0000e-06 eta: 4:04:43 time: 0.8725 data_time: 0.0738 memory: 9310 loss_ce: 0.0093 loss: 0.0093 2022/09/16 22:28:39 - mmengine - INFO - Epoch(train) [5][13100/31614] lr: 3.0000e-06 eta: 4:03:24 time: 0.8061 data_time: 0.0549 memory: 9310 loss_ce: 0.0104 loss: 0.0104 2022/09/16 22:29:58 - mmengine - INFO - Epoch(train) [5][13200/31614] lr: 3.0000e-06 eta: 4:02:05 time: 0.7892 data_time: 0.0195 memory: 9310 loss_ce: 0.0104 loss: 0.0104 2022/09/16 22:31:15 - mmengine - INFO - Epoch(train) [5][13300/31614] lr: 3.0000e-06 eta: 4:00:46 time: 0.7865 data_time: 0.0217 memory: 9310 loss_ce: 0.0105 loss: 0.0105 2022/09/16 22:32:33 - mmengine - INFO - Epoch(train) [5][13400/31614] lr: 3.0000e-06 eta: 3:59:27 time: 0.7544 data_time: 0.0095 memory: 9310 loss_ce: 0.0142 loss: 0.0142 2022/09/16 22:33:51 - mmengine - INFO - Epoch(train) [5][13500/31614] lr: 3.0000e-06 eta: 3:58:08 time: 0.7434 data_time: 0.0413 memory: 9310 loss_ce: 0.0126 loss: 0.0126 2022/09/16 22:34:25 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 22:35:10 - mmengine - INFO - Epoch(train) [5][13600/31614] lr: 3.0000e-06 eta: 3:56:49 time: 0.8147 data_time: 0.0391 memory: 9310 loss_ce: 0.0113 loss: 0.0113 2022/09/16 22:36:28 - mmengine - INFO - Epoch(train) [5][13700/31614] lr: 3.0000e-06 eta: 3:55:30 time: 0.7946 data_time: 0.0273 memory: 9310 loss_ce: 0.0131 loss: 0.0131 2022/09/16 22:37:46 - mmengine - INFO - Epoch(train) [5][13800/31614] lr: 3.0000e-06 eta: 3:54:11 time: 0.7815 data_time: 0.0200 memory: 9310 loss_ce: 0.0106 loss: 0.0106 2022/09/16 22:39:04 - mmengine - INFO - Epoch(train) [5][13900/31614] lr: 3.0000e-06 eta: 3:52:52 time: 0.7962 data_time: 0.0217 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/16 22:40:21 - mmengine - INFO - Epoch(train) [5][14000/31614] lr: 3.0000e-06 eta: 3:51:33 time: 0.7573 data_time: 0.0096 memory: 9310 loss_ce: 0.0111 loss: 0.0111 2022/09/16 22:41:39 - mmengine - INFO - Epoch(train) [5][14100/31614] lr: 3.0000e-06 eta: 3:50:14 time: 0.7986 data_time: 0.0383 memory: 9310 loss_ce: 0.0094 loss: 0.0094 2022/09/16 22:42:59 - mmengine - INFO - Epoch(train) [5][14200/31614] lr: 3.0000e-06 eta: 3:48:55 time: 0.8119 data_time: 0.0375 memory: 9310 loss_ce: 0.0112 loss: 0.0112 2022/09/16 22:44:17 - mmengine - INFO - Epoch(train) [5][14300/31614] lr: 3.0000e-06 eta: 3:47:36 time: 0.7986 data_time: 0.0255 memory: 9310 loss_ce: 0.0100 loss: 0.0100 2022/09/16 22:45:35 - mmengine - INFO - Epoch(train) [5][14400/31614] lr: 3.0000e-06 eta: 3:46:17 time: 0.7853 data_time: 0.0194 memory: 9310 loss_ce: 0.0094 loss: 0.0094 2022/09/16 22:46:52 - mmengine - INFO - Epoch(train) [5][14500/31614] lr: 3.0000e-06 eta: 3:44:58 time: 0.7838 data_time: 0.0232 memory: 9310 loss_ce: 0.0088 loss: 0.0088 2022/09/16 22:47:27 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 22:48:09 - mmengine - INFO - Epoch(train) [5][14600/31614] lr: 3.0000e-06 eta: 3:43:39 time: 0.7608 data_time: 0.0102 memory: 9310 loss_ce: 0.0114 loss: 0.0114 2022/09/16 22:49:27 - mmengine - INFO - Epoch(train) [5][14700/31614] lr: 3.0000e-06 eta: 3:42:20 time: 0.7796 data_time: 0.0396 memory: 9310 loss_ce: 0.0108 loss: 0.0108 2022/09/16 22:50:45 - mmengine - INFO - Epoch(train) [5][14800/31614] lr: 3.0000e-06 eta: 3:41:01 time: 0.7809 data_time: 0.0356 memory: 9310 loss_ce: 0.0107 loss: 0.0107 2022/09/16 22:52:02 - mmengine - INFO - Epoch(train) [5][14900/31614] lr: 3.0000e-06 eta: 3:39:42 time: 0.7257 data_time: 0.0255 memory: 9310 loss_ce: 0.0092 loss: 0.0092 2022/09/16 22:53:20 - mmengine - INFO - Epoch(train) [5][15000/31614] lr: 3.0000e-06 eta: 3:38:23 time: 0.7859 data_time: 0.0193 memory: 9310 loss_ce: 0.0106 loss: 0.0106 2022/09/16 22:54:38 - mmengine - INFO - Epoch(train) [5][15100/31614] lr: 3.0000e-06 eta: 3:37:04 time: 0.7917 data_time: 0.0223 memory: 9310 loss_ce: 0.0123 loss: 0.0123 2022/09/16 22:55:55 - mmengine - INFO - Epoch(train) [5][15200/31614] lr: 3.0000e-06 eta: 3:35:45 time: 0.7671 data_time: 0.0095 memory: 9310 loss_ce: 0.0108 loss: 0.0108 2022/09/16 22:57:14 - mmengine - INFO - Epoch(train) [5][15300/31614] lr: 3.0000e-06 eta: 3:34:26 time: 0.8027 data_time: 0.0772 memory: 9310 loss_ce: 0.0089 loss: 0.0089 2022/09/16 22:58:31 - mmengine - INFO - Epoch(train) [5][15400/31614] lr: 3.0000e-06 eta: 3:33:07 time: 0.8160 data_time: 0.0710 memory: 9310 loss_ce: 0.0109 loss: 0.0109 2022/09/16 22:59:48 - mmengine - INFO - Epoch(train) [5][15500/31614] lr: 3.0000e-06 eta: 3:31:48 time: 0.8142 data_time: 0.0523 memory: 9310 loss_ce: 0.0113 loss: 0.0113 2022/09/16 23:00:23 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 23:01:06 - mmengine - INFO - Epoch(train) [5][15600/31614] lr: 3.0000e-06 eta: 3:30:29 time: 0.7968 data_time: 0.0192 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/16 23:02:23 - mmengine - INFO - Epoch(train) [5][15700/31614] lr: 3.0000e-06 eta: 3:29:10 time: 0.6401 data_time: 0.0213 memory: 9310 loss_ce: 0.0134 loss: 0.0134 2022/09/16 23:03:42 - mmengine - INFO - Epoch(train) [5][15800/31614] lr: 3.0000e-06 eta: 3:27:51 time: 0.7691 data_time: 0.0094 memory: 9310 loss_ce: 0.0112 loss: 0.0112 2022/09/16 23:04:59 - mmengine - INFO - Epoch(train) [5][15900/31614] lr: 3.0000e-06 eta: 3:26:32 time: 0.7820 data_time: 0.0409 memory: 9310 loss_ce: 0.0106 loss: 0.0106 2022/09/16 23:06:18 - mmengine - INFO - Epoch(train) [5][16000/31614] lr: 3.0000e-06 eta: 3:25:13 time: 0.7717 data_time: 0.0372 memory: 9310 loss_ce: 0.0093 loss: 0.0093 2022/09/16 23:07:35 - mmengine - INFO - Epoch(train) [5][16100/31614] lr: 3.0000e-06 eta: 3:23:54 time: 0.7798 data_time: 0.0260 memory: 9310 loss_ce: 0.0124 loss: 0.0124 2022/09/16 23:08:53 - mmengine - INFO - Epoch(train) [5][16200/31614] lr: 3.0000e-06 eta: 3:22:35 time: 0.7960 data_time: 0.0196 memory: 9310 loss_ce: 0.0097 loss: 0.0097 2022/09/16 23:10:12 - mmengine - INFO - Epoch(train) [5][16300/31614] lr: 3.0000e-06 eta: 3:21:16 time: 0.7831 data_time: 0.0221 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/16 23:11:31 - mmengine - INFO - Epoch(train) [5][16400/31614] lr: 3.0000e-06 eta: 3:19:57 time: 0.7305 data_time: 0.0100 memory: 9310 loss_ce: 0.0088 loss: 0.0088 2022/09/16 23:12:49 - mmengine - INFO - Epoch(train) [5][16500/31614] lr: 3.0000e-06 eta: 3:18:38 time: 0.8104 data_time: 0.0386 memory: 9310 loss_ce: 0.0130 loss: 0.0130 2022/09/16 23:13:23 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 23:14:07 - mmengine - INFO - Epoch(train) [5][16600/31614] lr: 3.0000e-06 eta: 3:17:20 time: 0.8159 data_time: 0.0378 memory: 9310 loss_ce: 0.0108 loss: 0.0108 2022/09/16 23:15:26 - mmengine - INFO - Epoch(train) [5][16700/31614] lr: 3.0000e-06 eta: 3:16:01 time: 0.8486 data_time: 0.0311 memory: 9310 loss_ce: 0.0129 loss: 0.0129 2022/09/16 23:16:45 - mmengine - INFO - Epoch(train) [5][16800/31614] lr: 3.0000e-06 eta: 3:14:42 time: 0.7860 data_time: 0.0213 memory: 9310 loss_ce: 0.0100 loss: 0.0100 2022/09/16 23:18:02 - mmengine - INFO - Epoch(train) [5][16900/31614] lr: 3.0000e-06 eta: 3:13:23 time: 0.6941 data_time: 0.0217 memory: 9310 loss_ce: 0.0104 loss: 0.0104 2022/09/16 23:19:21 - mmengine - INFO - Epoch(train) [5][17000/31614] lr: 3.0000e-06 eta: 3:12:04 time: 0.7502 data_time: 0.0164 memory: 9310 loss_ce: 0.0101 loss: 0.0101 2022/09/16 23:20:40 - mmengine - INFO - Epoch(train) [5][17100/31614] lr: 3.0000e-06 eta: 3:10:45 time: 0.7828 data_time: 0.0416 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/16 23:21:57 - mmengine - INFO - Epoch(train) [5][17200/31614] lr: 3.0000e-06 eta: 3:09:26 time: 0.7885 data_time: 0.0362 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/16 23:23:15 - mmengine - INFO - Epoch(train) [5][17300/31614] lr: 3.0000e-06 eta: 3:08:07 time: 0.7917 data_time: 0.0256 memory: 9310 loss_ce: 0.0092 loss: 0.0092 2022/09/16 23:24:35 - mmengine - INFO - Epoch(train) [5][17400/31614] lr: 3.0000e-06 eta: 3:06:48 time: 0.7959 data_time: 0.0190 memory: 9310 loss_ce: 0.0098 loss: 0.0098 2022/09/16 23:25:52 - mmengine - INFO - Epoch(train) [5][17500/31614] lr: 3.0000e-06 eta: 3:05:29 time: 0.7641 data_time: 0.0241 memory: 9310 loss_ce: 0.0108 loss: 0.0108 2022/09/16 23:26:27 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 23:27:10 - mmengine - INFO - Epoch(train) [5][17600/31614] lr: 3.0000e-06 eta: 3:04:10 time: 0.7423 data_time: 0.0104 memory: 9310 loss_ce: 0.0106 loss: 0.0106 2022/09/16 23:28:29 - mmengine - INFO - Epoch(train) [5][17700/31614] lr: 3.0000e-06 eta: 3:02:52 time: 0.8109 data_time: 0.0763 memory: 9310 loss_ce: 0.0111 loss: 0.0111 2022/09/16 23:29:47 - mmengine - INFO - Epoch(train) [5][17800/31614] lr: 3.0000e-06 eta: 3:01:33 time: 0.8232 data_time: 0.0638 memory: 9310 loss_ce: 0.0101 loss: 0.0101 2022/09/16 23:31:06 - mmengine - INFO - Epoch(train) [5][17900/31614] lr: 3.0000e-06 eta: 3:00:14 time: 0.8566 data_time: 0.0535 memory: 9310 loss_ce: 0.0130 loss: 0.0130 2022/09/16 23:32:23 - mmengine - INFO - Epoch(train) [5][18000/31614] lr: 3.0000e-06 eta: 2:58:55 time: 0.7876 data_time: 0.0206 memory: 9310 loss_ce: 0.0087 loss: 0.0087 2022/09/16 23:33:42 - mmengine - INFO - Epoch(train) [5][18100/31614] lr: 3.0000e-06 eta: 2:57:36 time: 0.8073 data_time: 0.0464 memory: 9310 loss_ce: 0.0088 loss: 0.0088 2022/09/16 23:35:00 - mmengine - INFO - Epoch(train) [5][18200/31614] lr: 3.0000e-06 eta: 2:56:17 time: 0.7548 data_time: 0.0100 memory: 9310 loss_ce: 0.0128 loss: 0.0128 2022/09/16 23:36:18 - mmengine - INFO - Epoch(train) [5][18300/31614] lr: 3.0000e-06 eta: 2:54:58 time: 0.7826 data_time: 0.0462 memory: 9310 loss_ce: 0.0111 loss: 0.0111 2022/09/16 23:37:36 - mmengine - INFO - Epoch(train) [5][18400/31614] lr: 3.0000e-06 eta: 2:53:39 time: 0.8071 data_time: 0.0410 memory: 9310 loss_ce: 0.0110 loss: 0.0110 2022/09/16 23:38:54 - mmengine - INFO - Epoch(train) [5][18500/31614] lr: 3.0000e-06 eta: 2:52:20 time: 0.7743 data_time: 0.0258 memory: 9310 loss_ce: 0.0108 loss: 0.0108 2022/09/16 23:39:29 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 23:40:13 - mmengine - INFO - Epoch(train) [5][18600/31614] lr: 3.0000e-06 eta: 2:51:01 time: 0.8294 data_time: 0.0200 memory: 9310 loss_ce: 0.0149 loss: 0.0149 2022/09/16 23:41:33 - mmengine - INFO - Epoch(train) [5][18700/31614] lr: 3.0000e-06 eta: 2:49:43 time: 0.7490 data_time: 0.0213 memory: 9310 loss_ce: 0.0103 loss: 0.0103 2022/09/16 23:42:50 - mmengine - INFO - Epoch(train) [5][18800/31614] lr: 3.0000e-06 eta: 2:48:24 time: 0.7673 data_time: 0.0092 memory: 9310 loss_ce: 0.0090 loss: 0.0090 2022/09/16 23:44:07 - mmengine - INFO - Epoch(train) [5][18900/31614] lr: 3.0000e-06 eta: 2:47:05 time: 0.8070 data_time: 0.0383 memory: 9310 loss_ce: 0.0154 loss: 0.0154 2022/09/16 23:45:26 - mmengine - INFO - Epoch(train) [5][19000/31614] lr: 3.0000e-06 eta: 2:45:46 time: 0.8363 data_time: 0.0366 memory: 9310 loss_ce: 0.0112 loss: 0.0112 2022/09/16 23:46:44 - mmengine - INFO - Epoch(train) [5][19100/31614] lr: 3.0000e-06 eta: 2:44:27 time: 0.8136 data_time: 0.0637 memory: 9310 loss_ce: 0.0127 loss: 0.0127 2022/09/16 23:48:02 - mmengine - INFO - Epoch(train) [5][19200/31614] lr: 3.0000e-06 eta: 2:43:08 time: 0.7890 data_time: 0.0165 memory: 9310 loss_ce: 0.0101 loss: 0.0101 2022/09/16 23:49:19 - mmengine - INFO - Epoch(train) [5][19300/31614] lr: 3.0000e-06 eta: 2:41:49 time: 0.7350 data_time: 0.0201 memory: 9310 loss_ce: 0.0111 loss: 0.0111 2022/09/16 23:50:38 - mmengine - INFO - Epoch(train) [5][19400/31614] lr: 3.0000e-06 eta: 2:40:30 time: 0.7655 data_time: 0.0105 memory: 9310 loss_ce: 0.0128 loss: 0.0128 2022/09/16 23:51:57 - mmengine - INFO - Epoch(train) [5][19500/31614] lr: 3.0000e-06 eta: 2:39:11 time: 0.8096 data_time: 0.0661 memory: 9310 loss_ce: 0.0128 loss: 0.0128 2022/09/16 23:52:31 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/16 23:53:15 - mmengine - INFO - Epoch(train) [5][19600/31614] lr: 3.0000e-06 eta: 2:37:52 time: 0.8186 data_time: 0.0647 memory: 9310 loss_ce: 0.0103 loss: 0.0103 2022/09/16 23:54:32 - mmengine - INFO - Epoch(train) [5][19700/31614] lr: 3.0000e-06 eta: 2:36:33 time: 0.8210 data_time: 0.0540 memory: 9310 loss_ce: 0.0106 loss: 0.0106 2022/09/16 23:55:50 - mmengine - INFO - Epoch(train) [5][19800/31614] lr: 3.0000e-06 eta: 2:35:14 time: 0.8185 data_time: 0.0166 memory: 9310 loss_ce: 0.0135 loss: 0.0135 2022/09/16 23:57:09 - mmengine - INFO - Epoch(train) [5][19900/31614] lr: 3.0000e-06 eta: 2:33:55 time: 0.7672 data_time: 0.0201 memory: 9310 loss_ce: 0.0094 loss: 0.0094 2022/09/16 23:58:27 - mmengine - INFO - Epoch(train) [5][20000/31614] lr: 3.0000e-06 eta: 2:32:37 time: 0.7303 data_time: 0.0105 memory: 9310 loss_ce: 0.0096 loss: 0.0096 2022/09/16 23:59:45 - mmengine - INFO - Epoch(train) [5][20100/31614] lr: 3.0000e-06 eta: 2:31:18 time: 0.6606 data_time: 0.0841 memory: 9310 loss_ce: 0.0122 loss: 0.0122 2022/09/17 00:01:05 - mmengine - INFO - Epoch(train) [5][20200/31614] lr: 3.0000e-06 eta: 2:29:59 time: 0.7868 data_time: 0.0637 memory: 9310 loss_ce: 0.0089 loss: 0.0089 2022/09/17 00:02:22 - mmengine - INFO - Epoch(train) [5][20300/31614] lr: 3.0000e-06 eta: 2:28:40 time: 0.7851 data_time: 0.0278 memory: 9310 loss_ce: 0.0110 loss: 0.0110 2022/09/17 00:03:41 - mmengine - INFO - Epoch(train) [5][20400/31614] lr: 3.0000e-06 eta: 2:27:21 time: 0.7843 data_time: 0.0186 memory: 9310 loss_ce: 0.0088 loss: 0.0088 2022/09/17 00:05:00 - mmengine - INFO - Epoch(train) [5][20500/31614] lr: 3.0000e-06 eta: 2:26:02 time: 0.7972 data_time: 0.0234 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/17 00:05:34 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/17 00:06:18 - mmengine - INFO - Epoch(train) [5][20600/31614] lr: 3.0000e-06 eta: 2:24:43 time: 0.7550 data_time: 0.0100 memory: 9310 loss_ce: 0.0105 loss: 0.0105 2022/09/17 00:07:36 - mmengine - INFO - Epoch(train) [5][20700/31614] lr: 3.0000e-06 eta: 2:23:24 time: 0.8093 data_time: 0.0688 memory: 9310 loss_ce: 0.0074 loss: 0.0074 2022/09/17 00:08:54 - mmengine - INFO - Epoch(train) [5][20800/31614] lr: 3.0000e-06 eta: 2:22:05 time: 0.8107 data_time: 0.0702 memory: 9310 loss_ce: 0.0101 loss: 0.0101 2022/09/17 00:10:12 - mmengine - INFO - Epoch(train) [5][20900/31614] lr: 3.0000e-06 eta: 2:20:47 time: 0.7887 data_time: 0.0281 memory: 9310 loss_ce: 0.0108 loss: 0.0108 2022/09/17 00:11:30 - mmengine - INFO - Epoch(train) [5][21000/31614] lr: 3.0000e-06 eta: 2:19:28 time: 0.7593 data_time: 0.0165 memory: 9310 loss_ce: 0.0078 loss: 0.0078 2022/09/17 00:12:48 - mmengine - INFO - Epoch(train) [5][21100/31614] lr: 3.0000e-06 eta: 2:18:09 time: 0.7441 data_time: 0.0195 memory: 9310 loss_ce: 0.0085 loss: 0.0085 2022/09/17 00:14:06 - mmengine - INFO - Epoch(train) [5][21200/31614] lr: 3.0000e-06 eta: 2:16:50 time: 0.7518 data_time: 0.0120 memory: 9310 loss_ce: 0.0080 loss: 0.0080 2022/09/17 00:15:25 - mmengine - INFO - Epoch(train) [5][21300/31614] lr: 3.0000e-06 eta: 2:15:31 time: 0.8424 data_time: 0.0700 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/17 00:16:44 - mmengine - INFO - Epoch(train) [5][21400/31614] lr: 3.0000e-06 eta: 2:14:12 time: 0.8501 data_time: 0.0428 memory: 9310 loss_ce: 0.0130 loss: 0.0130 2022/09/17 00:18:02 - mmengine - INFO - Epoch(train) [5][21500/31614] lr: 3.0000e-06 eta: 2:12:53 time: 0.7950 data_time: 0.0311 memory: 9310 loss_ce: 0.0089 loss: 0.0089 2022/09/17 00:18:35 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/17 00:19:20 - mmengine - INFO - Epoch(train) [5][21600/31614] lr: 3.0000e-06 eta: 2:11:34 time: 0.7853 data_time: 0.0147 memory: 9310 loss_ce: 0.0112 loss: 0.0112 2022/09/17 00:20:37 - mmengine - INFO - Epoch(train) [5][21700/31614] lr: 3.0000e-06 eta: 2:10:15 time: 0.7520 data_time: 0.0189 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/17 00:21:54 - mmengine - INFO - Epoch(train) [5][21800/31614] lr: 3.0000e-06 eta: 2:08:56 time: 0.7496 data_time: 0.0117 memory: 9310 loss_ce: 0.0102 loss: 0.0102 2022/09/17 00:23:13 - mmengine - INFO - Epoch(train) [5][21900/31614] lr: 3.0000e-06 eta: 2:07:38 time: 0.7368 data_time: 0.0481 memory: 9310 loss_ce: 0.0093 loss: 0.0093 2022/09/17 00:24:29 - mmengine - INFO - Epoch(train) [5][22000/31614] lr: 3.0000e-06 eta: 2:06:19 time: 0.7739 data_time: 0.0433 memory: 9310 loss_ce: 0.0122 loss: 0.0122 2022/09/17 00:25:47 - mmengine - INFO - Epoch(train) [5][22100/31614] lr: 3.0000e-06 eta: 2:05:00 time: 0.8309 data_time: 0.0419 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/17 00:27:06 - mmengine - INFO - Epoch(train) [5][22200/31614] lr: 3.0000e-06 eta: 2:03:41 time: 0.7780 data_time: 0.0129 memory: 9310 loss_ce: 0.0130 loss: 0.0130 2022/09/17 00:28:22 - mmengine - INFO - Epoch(train) [5][22300/31614] lr: 3.0000e-06 eta: 2:02:22 time: 0.7893 data_time: 0.0193 memory: 9310 loss_ce: 0.0099 loss: 0.0099 2022/09/17 00:29:39 - mmengine - INFO - Epoch(train) [5][22400/31614] lr: 3.0000e-06 eta: 2:01:03 time: 0.7399 data_time: 0.0142 memory: 9310 loss_ce: 0.0107 loss: 0.0107 2022/09/17 00:30:57 - mmengine - INFO - Epoch(train) [5][22500/31614] lr: 3.0000e-06 eta: 1:59:44 time: 0.7510 data_time: 0.0456 memory: 9310 loss_ce: 0.0134 loss: 0.0134 2022/09/17 00:31:31 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/17 00:32:16 - mmengine - INFO - Epoch(train) [5][22600/31614] lr: 3.0000e-06 eta: 1:58:25 time: 0.7802 data_time: 0.0423 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/17 00:33:33 - mmengine - INFO - Epoch(train) [5][22700/31614] lr: 3.0000e-06 eta: 1:57:06 time: 0.7093 data_time: 0.0313 memory: 9310 loss_ce: 0.0099 loss: 0.0099 2022/09/17 00:34:49 - mmengine - INFO - Epoch(train) [5][22800/31614] lr: 3.0000e-06 eta: 1:55:47 time: 0.7554 data_time: 0.0138 memory: 9310 loss_ce: 0.0096 loss: 0.0096 2022/09/17 00:36:07 - mmengine - INFO - Epoch(train) [5][22900/31614] lr: 3.0000e-06 eta: 1:54:28 time: 0.7476 data_time: 0.0203 memory: 9310 loss_ce: 0.0102 loss: 0.0102 2022/09/17 00:37:23 - mmengine - INFO - Epoch(train) [5][23000/31614] lr: 3.0000e-06 eta: 1:53:09 time: 0.7815 data_time: 0.0112 memory: 9310 loss_ce: 0.0102 loss: 0.0102 2022/09/17 00:38:41 - mmengine - INFO - Epoch(train) [5][23100/31614] lr: 3.0000e-06 eta: 1:51:51 time: 0.7887 data_time: 0.0433 memory: 9310 loss_ce: 0.0094 loss: 0.0094 2022/09/17 00:39:58 - mmengine - INFO - Epoch(train) [5][23200/31614] lr: 3.0000e-06 eta: 1:50:32 time: 0.7511 data_time: 0.0030 memory: 9310 loss_ce: 0.0093 loss: 0.0093 2022/09/17 00:42:01 - mmengine - INFO - Epoch(train) [5][23300/31614] lr: 3.0000e-06 eta: 1:49:15 time: 0.7327 data_time: 0.0043 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/17 00:43:19 - mmengine - INFO - Epoch(train) [5][23400/31614] lr: 3.0000e-06 eta: 1:47:56 time: 0.7883 data_time: 0.0112 memory: 9310 loss_ce: 0.0111 loss: 0.0111 2022/09/17 00:44:38 - mmengine - INFO - Epoch(train) [5][23500/31614] lr: 3.0000e-06 eta: 1:46:37 time: 0.8365 data_time: 0.0478 memory: 9310 loss_ce: 0.0130 loss: 0.0130 2022/09/17 00:45:18 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/17 00:46:01 - mmengine - INFO - Epoch(train) [5][23600/31614] lr: 3.0000e-06 eta: 1:45:19 time: 0.7816 data_time: 0.0383 memory: 9310 loss_ce: 0.0078 loss: 0.0078 2022/09/17 00:47:21 - mmengine - INFO - Epoch(train) [5][23700/31614] lr: 3.0000e-06 eta: 1:44:00 time: 0.7548 data_time: 0.0287 memory: 9310 loss_ce: 0.0098 loss: 0.0098 2022/09/17 00:48:39 - mmengine - INFO - Epoch(train) [5][23800/31614] lr: 3.0000e-06 eta: 1:42:41 time: 0.7480 data_time: 0.0150 memory: 9310 loss_ce: 0.0124 loss: 0.0124 2022/09/17 00:50:02 - mmengine - INFO - Epoch(train) [5][23900/31614] lr: 3.0000e-06 eta: 1:41:23 time: 0.7301 data_time: 0.0027 memory: 9310 loss_ce: 0.0141 loss: 0.0141 2022/09/17 00:51:25 - mmengine - INFO - Epoch(train) [5][24000/31614] lr: 3.0000e-06 eta: 1:40:04 time: 0.7874 data_time: 0.0231 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/17 00:53:07 - mmengine - INFO - Epoch(train) [5][24100/31614] lr: 3.0000e-06 eta: 1:38:46 time: 2.5390 data_time: 0.0416 memory: 9310 loss_ce: 0.0114 loss: 0.0114 2022/09/17 00:54:39 - mmengine - INFO - Epoch(train) [5][24200/31614] lr: 3.0000e-06 eta: 1:37:28 time: 0.7446 data_time: 0.0376 memory: 9310 loss_ce: 0.0102 loss: 0.0102 2022/09/17 00:56:56 - mmengine - INFO - Epoch(train) [5][24300/31614] lr: 3.0000e-06 eta: 1:36:12 time: 0.8190 data_time: 0.0209 memory: 9310 loss_ce: 0.0120 loss: 0.0120 2022/09/17 00:58:14 - mmengine - INFO - Epoch(train) [5][24400/31614] lr: 3.0000e-06 eta: 1:34:53 time: 0.7853 data_time: 0.0160 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/17 00:59:33 - mmengine - INFO - Epoch(train) [5][24500/31614] lr: 3.0000e-06 eta: 1:33:34 time: 0.7518 data_time: 0.0087 memory: 9310 loss_ce: 0.0106 loss: 0.0106 2022/09/17 01:00:08 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/17 01:00:53 - mmengine - INFO - Epoch(train) [5][24600/31614] lr: 3.0000e-06 eta: 1:32:15 time: 0.8030 data_time: 0.0435 memory: 9310 loss_ce: 0.0099 loss: 0.0099 2022/09/17 01:02:14 - mmengine - INFO - Epoch(train) [5][24700/31614] lr: 3.0000e-06 eta: 1:30:56 time: 0.7521 data_time: 0.0225 memory: 9310 loss_ce: 0.0088 loss: 0.0088 2022/09/17 01:03:32 - mmengine - INFO - Epoch(train) [5][24800/31614] lr: 3.0000e-06 eta: 1:29:37 time: 0.7466 data_time: 0.0266 memory: 9310 loss_ce: 0.0106 loss: 0.0106 2022/09/17 01:04:50 - mmengine - INFO - Epoch(train) [5][24900/31614] lr: 3.0000e-06 eta: 1:28:18 time: 0.8421 data_time: 0.0701 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/17 01:06:07 - mmengine - INFO - Epoch(train) [5][25000/31614] lr: 3.0000e-06 eta: 1:26:59 time: 0.8225 data_time: 0.0698 memory: 9310 loss_ce: 0.0093 loss: 0.0093 2022/09/17 01:07:37 - mmengine - INFO - Epoch(train) [5][25100/31614] lr: 3.0000e-06 eta: 1:25:41 time: 0.7336 data_time: 0.0050 memory: 9310 loss_ce: 0.0132 loss: 0.0132 2022/09/17 01:08:54 - mmengine - INFO - Epoch(train) [5][25200/31614] lr: 3.0000e-06 eta: 1:24:22 time: 0.7815 data_time: 0.0439 memory: 9310 loss_ce: 0.0118 loss: 0.0118 2022/09/17 01:10:09 - mmengine - INFO - Epoch(train) [5][25300/31614] lr: 3.0000e-06 eta: 1:23:03 time: 0.7828 data_time: 0.0347 memory: 9310 loss_ce: 0.0104 loss: 0.0104 2022/09/17 01:11:28 - mmengine - INFO - Epoch(train) [5][25400/31614] lr: 3.0000e-06 eta: 1:21:44 time: 0.7577 data_time: 0.0024 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/17 01:12:46 - mmengine - INFO - Epoch(train) [5][25500/31614] lr: 3.0000e-06 eta: 1:20:25 time: 0.7519 data_time: 0.0208 memory: 9310 loss_ce: 0.0088 loss: 0.0088 2022/09/17 01:13:21 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/17 01:14:03 - mmengine - INFO - Epoch(train) [5][25600/31614] lr: 3.0000e-06 eta: 1:19:06 time: 0.7350 data_time: 0.0243 memory: 9310 loss_ce: 0.0094 loss: 0.0094 2022/09/17 01:15:21 - mmengine - INFO - Epoch(train) [5][25700/31614] lr: 3.0000e-06 eta: 1:17:47 time: 0.7775 data_time: 0.0415 memory: 9310 loss_ce: 0.0138 loss: 0.0138 2022/09/17 01:16:38 - mmengine - INFO - Epoch(train) [5][25800/31614] lr: 3.0000e-06 eta: 1:16:28 time: 0.7849 data_time: 0.0279 memory: 9310 loss_ce: 0.0132 loss: 0.0132 2022/09/17 01:17:56 - mmengine - INFO - Epoch(train) [5][25900/31614] lr: 3.0000e-06 eta: 1:15:09 time: 0.7085 data_time: 0.0095 memory: 9310 loss_ce: 0.0088 loss: 0.0088 2022/09/17 01:19:13 - mmengine - INFO - Epoch(train) [5][26000/31614] lr: 3.0000e-06 eta: 1:13:50 time: 0.7349 data_time: 0.0110 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/17 01:20:32 - mmengine - INFO - Epoch(train) [5][26100/31614] lr: 3.0000e-06 eta: 1:12:31 time: 0.7946 data_time: 0.0262 memory: 9310 loss_ce: 0.0081 loss: 0.0081 2022/09/17 01:21:48 - mmengine - INFO - Epoch(train) [5][26200/31614] lr: 3.0000e-06 eta: 1:11:12 time: 0.7251 data_time: 0.0240 memory: 9310 loss_ce: 0.0110 loss: 0.0110 2022/09/17 01:23:05 - mmengine - INFO - Epoch(train) [5][26300/31614] lr: 3.0000e-06 eta: 1:09:53 time: 0.7402 data_time: 0.0410 memory: 9310 loss_ce: 0.0124 loss: 0.0124 2022/09/17 01:24:22 - mmengine - INFO - Epoch(train) [5][26400/31614] lr: 3.0000e-06 eta: 1:08:34 time: 0.7468 data_time: 0.0604 memory: 9310 loss_ce: 0.0096 loss: 0.0096 2022/09/17 01:25:38 - mmengine - INFO - Epoch(train) [5][26500/31614] lr: 3.0000e-06 eta: 1:07:15 time: 0.7536 data_time: 0.0137 memory: 9310 loss_ce: 0.0101 loss: 0.0101 2022/09/17 01:26:13 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/17 01:26:55 - mmengine - INFO - Epoch(train) [5][26600/31614] lr: 3.0000e-06 eta: 1:05:56 time: 0.6992 data_time: 0.0155 memory: 9310 loss_ce: 0.0131 loss: 0.0131 2022/09/17 01:28:14 - mmengine - INFO - Epoch(train) [5][26700/31614] lr: 3.0000e-06 eta: 1:04:37 time: 0.7869 data_time: 0.0267 memory: 9310 loss_ce: 0.0101 loss: 0.0101 2022/09/17 01:29:32 - mmengine - INFO - Epoch(train) [5][26800/31614] lr: 3.0000e-06 eta: 1:03:18 time: 0.8140 data_time: 0.0244 memory: 9310 loss_ce: 0.0115 loss: 0.0115 2022/09/17 01:30:50 - mmengine - INFO - Epoch(train) [5][26900/31614] lr: 3.0000e-06 eta: 1:01:59 time: 0.7802 data_time: 0.0401 memory: 9310 loss_ce: 0.0113 loss: 0.0113 2022/09/17 01:32:08 - mmengine - INFO - Epoch(train) [5][27000/31614] lr: 3.0000e-06 eta: 1:00:40 time: 0.7854 data_time: 0.0278 memory: 9310 loss_ce: 0.0090 loss: 0.0090 2022/09/17 01:33:24 - mmengine - INFO - Epoch(train) [5][27100/31614] lr: 3.0000e-06 eta: 0:59:21 time: 0.7701 data_time: 0.0086 memory: 9310 loss_ce: 0.0152 loss: 0.0152 2022/09/17 01:34:43 - mmengine - INFO - Epoch(train) [5][27200/31614] lr: 3.0000e-06 eta: 0:58:02 time: 0.7507 data_time: 0.0111 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/17 01:36:01 - mmengine - INFO - Epoch(train) [5][27300/31614] lr: 3.0000e-06 eta: 0:56:44 time: 0.7494 data_time: 0.0265 memory: 9310 loss_ce: 0.0103 loss: 0.0103 2022/09/17 01:37:16 - mmengine - INFO - Epoch(train) [5][27400/31614] lr: 3.0000e-06 eta: 0:55:25 time: 0.7467 data_time: 0.0242 memory: 9310 loss_ce: 0.0117 loss: 0.0117 2022/09/17 01:38:34 - mmengine - INFO - Epoch(train) [5][27500/31614] lr: 3.0000e-06 eta: 0:54:06 time: 0.7279 data_time: 0.0676 memory: 9310 loss_ce: 0.0104 loss: 0.0104 2022/09/17 01:39:08 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/17 01:39:51 - mmengine - INFO - Epoch(train) [5][27600/31614] lr: 3.0000e-06 eta: 0:52:47 time: 0.8119 data_time: 0.0543 memory: 9310 loss_ce: 0.0113 loss: 0.0113 2022/09/17 01:41:09 - mmengine - INFO - Epoch(train) [5][27700/31614] lr: 3.0000e-06 eta: 0:51:28 time: 0.7662 data_time: 0.0085 memory: 9310 loss_ce: 0.0108 loss: 0.0108 2022/09/17 01:42:26 - mmengine - INFO - Epoch(train) [5][27800/31614] lr: 3.0000e-06 eta: 0:50:09 time: 0.7488 data_time: 0.0131 memory: 9310 loss_ce: 0.0130 loss: 0.0130 2022/09/17 01:43:43 - mmengine - INFO - Epoch(train) [5][27900/31614] lr: 3.0000e-06 eta: 0:48:50 time: 0.7450 data_time: 0.0268 memory: 9310 loss_ce: 0.0105 loss: 0.0105 2022/09/17 01:45:00 - mmengine - INFO - Epoch(train) [5][28000/31614] lr: 3.0000e-06 eta: 0:47:31 time: 0.7470 data_time: 0.0237 memory: 9310 loss_ce: 0.0087 loss: 0.0087 2022/09/17 01:46:18 - mmengine - INFO - Epoch(train) [5][28100/31614] lr: 3.0000e-06 eta: 0:46:12 time: 0.8152 data_time: 0.0433 memory: 9310 loss_ce: 0.0092 loss: 0.0092 2022/09/17 01:47:36 - mmengine - INFO - Epoch(train) [5][28200/31614] lr: 3.0000e-06 eta: 0:44:53 time: 0.7884 data_time: 0.0288 memory: 9310 loss_ce: 0.0147 loss: 0.0147 2022/09/17 01:48:54 - mmengine - INFO - Epoch(train) [5][28300/31614] lr: 3.0000e-06 eta: 0:43:34 time: 0.7583 data_time: 0.0093 memory: 9310 loss_ce: 0.0074 loss: 0.0074 2022/09/17 01:50:10 - mmengine - INFO - Epoch(train) [5][28400/31614] lr: 3.0000e-06 eta: 0:42:15 time: 0.7514 data_time: 0.0108 memory: 9310 loss_ce: 0.0109 loss: 0.0109 2022/09/17 01:51:28 - mmengine - INFO - Epoch(train) [5][28500/31614] lr: 3.0000e-06 eta: 0:40:56 time: 0.7490 data_time: 0.0262 memory: 9310 loss_ce: 0.0109 loss: 0.0109 2022/09/17 01:52:03 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/17 01:52:45 - mmengine - INFO - Epoch(train) [5][28600/31614] lr: 3.0000e-06 eta: 0:39:37 time: 0.7267 data_time: 0.0232 memory: 9310 loss_ce: 0.0100 loss: 0.0100 2022/09/17 01:54:04 - mmengine - INFO - Epoch(train) [5][28700/31614] lr: 3.0000e-06 eta: 0:38:18 time: 0.8363 data_time: 0.0695 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/17 01:55:21 - mmengine - INFO - Epoch(train) [5][28800/31614] lr: 3.0000e-06 eta: 0:36:59 time: 0.8150 data_time: 0.0569 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/17 01:56:39 - mmengine - INFO - Epoch(train) [5][28900/31614] lr: 3.0000e-06 eta: 0:35:41 time: 0.7191 data_time: 0.0112 memory: 9310 loss_ce: 0.0105 loss: 0.0105 2022/09/17 01:57:56 - mmengine - INFO - Epoch(train) [5][29000/31614] lr: 3.0000e-06 eta: 0:34:22 time: 0.7275 data_time: 0.0114 memory: 9310 loss_ce: 0.0101 loss: 0.0101 2022/09/17 01:59:13 - mmengine - INFO - Epoch(train) [5][29100/31614] lr: 3.0000e-06 eta: 0:33:03 time: 0.7845 data_time: 0.0271 memory: 9310 loss_ce: 0.0096 loss: 0.0096 2022/09/17 02:00:30 - mmengine - INFO - Epoch(train) [5][29200/31614] lr: 3.0000e-06 eta: 0:31:44 time: 0.7667 data_time: 0.0241 memory: 9310 loss_ce: 0.0116 loss: 0.0116 2022/09/17 02:01:48 - mmengine - INFO - Epoch(train) [5][29300/31614] lr: 3.0000e-06 eta: 0:30:25 time: 0.7791 data_time: 0.0396 memory: 9310 loss_ce: 0.0099 loss: 0.0099 2022/09/17 02:03:06 - mmengine - INFO - Epoch(train) [5][29400/31614] lr: 3.0000e-06 eta: 0:29:06 time: 0.7825 data_time: 0.0270 memory: 9310 loss_ce: 0.0107 loss: 0.0107 2022/09/17 02:04:23 - mmengine - INFO - Epoch(train) [5][29500/31614] lr: 3.0000e-06 eta: 0:27:47 time: 0.7668 data_time: 0.0085 memory: 9310 loss_ce: 0.0113 loss: 0.0113 2022/09/17 02:04:58 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/17 02:05:42 - mmengine - INFO - Epoch(train) [5][29600/31614] lr: 3.0000e-06 eta: 0:26:28 time: 0.7889 data_time: 0.0123 memory: 9310 loss_ce: 0.0079 loss: 0.0079 2022/09/17 02:07:00 - mmengine - INFO - Epoch(train) [5][29700/31614] lr: 3.0000e-06 eta: 0:25:09 time: 0.7830 data_time: 0.0281 memory: 9310 loss_ce: 0.0097 loss: 0.0097 2022/09/17 02:08:16 - mmengine - INFO - Epoch(train) [5][29800/31614] lr: 3.0000e-06 eta: 0:23:50 time: 0.7497 data_time: 0.0227 memory: 9310 loss_ce: 0.0108 loss: 0.0108 2022/09/17 02:09:36 - mmengine - INFO - Epoch(train) [5][29900/31614] lr: 3.0000e-06 eta: 0:22:32 time: 0.8622 data_time: 0.0799 memory: 9310 loss_ce: 0.0113 loss: 0.0113 2022/09/17 02:10:54 - mmengine - INFO - Epoch(train) [5][30000/31614] lr: 3.0000e-06 eta: 0:21:13 time: 0.7995 data_time: 0.0529 memory: 9310 loss_ce: 0.0106 loss: 0.0106 2022/09/17 02:12:10 - mmengine - INFO - Epoch(train) [5][30100/31614] lr: 3.0000e-06 eta: 0:19:54 time: 0.7157 data_time: 0.0090 memory: 9310 loss_ce: 0.0131 loss: 0.0131 2022/09/17 02:13:30 - mmengine - INFO - Epoch(train) [5][30200/31614] lr: 3.0000e-06 eta: 0:18:35 time: 0.7503 data_time: 0.0119 memory: 9310 loss_ce: 0.0087 loss: 0.0087 2022/09/17 02:14:46 - mmengine - INFO - Epoch(train) [5][30300/31614] lr: 3.0000e-06 eta: 0:17:16 time: 0.7233 data_time: 0.0313 memory: 9310 loss_ce: 0.0098 loss: 0.0098 2022/09/17 02:16:03 - mmengine - INFO - Epoch(train) [5][30400/31614] lr: 3.0000e-06 eta: 0:15:57 time: 0.7634 data_time: 0.0226 memory: 9310 loss_ce: 0.0131 loss: 0.0131 2022/09/17 02:17:22 - mmengine - INFO - Epoch(train) [5][30500/31614] lr: 3.0000e-06 eta: 0:14:38 time: 0.7834 data_time: 0.0416 memory: 9310 loss_ce: 0.0121 loss: 0.0121 2022/09/17 02:17:56 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/17 02:18:40 - mmengine - INFO - Epoch(train) [5][30600/31614] lr: 3.0000e-06 eta: 0:13:19 time: 0.7921 data_time: 0.0277 memory: 9310 loss_ce: 0.0107 loss: 0.0107 2022/09/17 02:19:58 - mmengine - INFO - Epoch(train) [5][30700/31614] lr: 3.0000e-06 eta: 0:12:00 time: 0.7644 data_time: 0.0103 memory: 9310 loss_ce: 0.0119 loss: 0.0119 2022/09/17 02:21:16 - mmengine - INFO - Epoch(train) [5][30800/31614] lr: 3.0000e-06 eta: 0:10:42 time: 0.7870 data_time: 0.0134 memory: 9310 loss_ce: 0.0087 loss: 0.0087 2022/09/17 02:22:33 - mmengine - INFO - Epoch(train) [5][30900/31614] lr: 3.0000e-06 eta: 0:09:23 time: 0.7489 data_time: 0.0271 memory: 9310 loss_ce: 0.0095 loss: 0.0095 2022/09/17 02:23:51 - mmengine - INFO - Epoch(train) [5][31000/31614] lr: 3.0000e-06 eta: 0:08:04 time: 0.7514 data_time: 0.0238 memory: 9310 loss_ce: 0.0095 loss: 0.0095 2022/09/17 02:25:09 - mmengine - INFO - Epoch(train) [5][31100/31614] lr: 3.0000e-06 eta: 0:06:45 time: 0.7945 data_time: 0.0786 memory: 9310 loss_ce: 0.0094 loss: 0.0094 2022/09/17 02:26:26 - mmengine - INFO - Epoch(train) [5][31200/31614] lr: 3.0000e-06 eta: 0:05:26 time: 0.8168 data_time: 0.0458 memory: 9310 loss_ce: 0.0135 loss: 0.0135 2022/09/17 02:27:45 - mmengine - INFO - Epoch(train) [5][31300/31614] lr: 3.0000e-06 eta: 0:04:07 time: 0.7592 data_time: 0.0090 memory: 9310 loss_ce: 0.0079 loss: 0.0079 2022/09/17 02:29:03 - mmengine - INFO - Epoch(train) [5][31400/31614] lr: 3.0000e-06 eta: 0:02:48 time: 0.7666 data_time: 0.0118 memory: 9310 loss_ce: 0.0110 loss: 0.0110 2022/09/17 02:30:20 - mmengine - INFO - Epoch(train) [5][31500/31614] lr: 3.0000e-06 eta: 0:01:29 time: 0.7736 data_time: 0.0276 memory: 9310 loss_ce: 0.0096 loss: 0.0096 2022/09/17 02:30:55 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/17 02:31:38 - mmengine - INFO - Epoch(train) [5][31600/31614] lr: 3.0000e-06 eta: 0:00:11 time: 0.7491 data_time: 0.0221 memory: 9310 loss_ce: 0.0104 loss: 0.0104 2022/09/17 02:31:48 - mmengine - INFO - Exp name: satrn_shallow-small_5e_st_mj_20220915_152442 2022/09/17 02:31:48 - mmengine - INFO - Saving checkpoint at 5 epochs 2022/09/17 02:32:28 - mmengine - INFO - Epoch(val) [5][100/1918] eta: 0:05:02 time: 0.1662 data_time: 0.0007 memory: 9310 2022/09/17 02:32:44 - mmengine - INFO - Epoch(val) [5][200/1918] eta: 0:04:36 time: 0.1607 data_time: 0.0006 memory: 230 2022/09/17 02:33:00 - mmengine - INFO - Epoch(val) [5][300/1918] eta: 0:04:19 time: 0.1603 data_time: 0.0006 memory: 230 2022/09/17 02:33:16 - mmengine - INFO - Epoch(val) [5][400/1918] eta: 0:04:02 time: 0.1599 data_time: 0.0007 memory: 230 2022/09/17 02:33:32 - mmengine - INFO - Epoch(val) [5][500/1918] eta: 0:03:56 time: 0.1667 data_time: 0.0008 memory: 230 2022/09/17 02:33:49 - mmengine - INFO - Epoch(val) [5][600/1918] eta: 0:03:37 time: 0.1651 data_time: 0.0008 memory: 230 2022/09/17 02:34:05 - mmengine - INFO - Epoch(val) [5][700/1918] eta: 0:03:12 time: 0.1581 data_time: 0.0006 memory: 230 2022/09/17 02:34:21 - mmengine - INFO - Epoch(val) [5][800/1918] eta: 0:02:56 time: 0.1579 data_time: 0.0006 memory: 230 2022/09/17 02:34:37 - mmengine - INFO - Epoch(val) [5][900/1918] eta: 0:02:41 time: 0.1590 data_time: 0.0006 memory: 230 2022/09/17 02:34:53 - mmengine - INFO - Epoch(val) [5][1000/1918] eta: 0:02:25 time: 0.1588 data_time: 0.0006 memory: 230 2022/09/17 02:35:09 - mmengine - INFO - Epoch(val) [5][1100/1918] eta: 0:02:08 time: 0.1574 data_time: 0.0007 memory: 230 2022/09/17 02:35:25 - mmengine - INFO - Epoch(val) [5][1200/1918] eta: 0:01:54 time: 0.1597 data_time: 0.0006 memory: 230 2022/09/17 02:35:41 - mmengine - INFO - Epoch(val) [5][1300/1918] eta: 0:01:37 time: 0.1578 data_time: 0.0006 memory: 230 2022/09/17 02:35:57 - mmengine - INFO - Epoch(val) [5][1400/1918] eta: 0:01:22 time: 0.1602 data_time: 0.0006 memory: 230 2022/09/17 02:36:13 - mmengine - INFO - Epoch(val) [5][1500/1918] eta: 0:01:05 time: 0.1572 data_time: 0.0006 memory: 230 2022/09/17 02:36:29 - mmengine - INFO - Epoch(val) [5][1600/1918] eta: 0:00:51 time: 0.1633 data_time: 0.0006 memory: 230 2022/09/17 02:36:45 - mmengine - INFO - Epoch(val) [5][1700/1918] eta: 0:00:34 time: 0.1584 data_time: 0.0005 memory: 230 2022/09/17 02:37:01 - mmengine - INFO - Epoch(val) [5][1800/1918] eta: 0:00:18 time: 0.1606 data_time: 0.0007 memory: 230 2022/09/17 02:37:17 - mmengine - INFO - Epoch(val) [5][1900/1918] eta: 0:00:02 time: 0.1572 data_time: 0.0006 memory: 230 2022/09/17 02:37:20 - mmengine - INFO - Epoch(val) [5][1918/1918] CUTE80/recog/word_acc_ignore_case_symbol: 0.8507 IIIT5K/recog/word_acc_ignore_case_symbol: 0.9423 SVT/recog/word_acc_ignore_case_symbol: 0.8995 SVTP/recog/word_acc_ignore_case_symbol: 0.8574 IC13/recog/word_acc_ignore_case_symbol: 0.9567 IC15/recog/word_acc_ignore_case_symbol: 0.7877