2023/01/05 18:44:58 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.10.8 (main, Nov 24 2022, 14:13:03) [GCC 11.2.0] CUDA available: True numpy_random_seed: 1878247971 GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB CUDA_HOME: None GCC: gcc (GCC) 4.8.5 20150623 (Red Hat 4.8.5-44) PyTorch: 1.12.1 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201402 - Intel(R) oneAPI Math Kernel Library Version 2021.4-Product Build 20210904 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.3 - 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_61,code=sm_61;-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;-gencode;arch=compute_37,code=compute_37 - CuDNN 8.3.2 (built against CUDA 11.5) - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -fabi-version=11 -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -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 -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.1, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.13.1 OpenCV: 4.7.0 MMEngine: 0.4.0 Runtime environment: cudnn_benchmark: True mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: None Distributed launcher: pytorch Distributed training: True GPU number: 4 ------------------------------------------------------------ 2023/01/05 18:44:58 - mmengine - INFO - Config: dictionary = dict( type='Dictionary', dict_file= 'dicts/lower_english_digits.txt', with_padding=True, with_unknown=True) model = dict( type='SVTR', preprocessor=dict( type='STN', in_channels=3, resized_image_size=(32, 64), output_image_size=(32, 100), num_control_points=20, margins=[0.05, 0.05]), encoder=dict( type='SVTREncoder', img_size=[32, 100], in_channels=3, out_channels=192, embed_dims=[96, 192, 256], depth=[3, 6, 6], num_heads=[3, 6, 8], mixer_types=[ 'Local', 'Local', 'Local', 'Local', 'Local', 'Local', 'Local', 'Local', 'Global', 'Global', 'Global', 'Global', 'Global', 'Global', 'Global' ], window_size=[[7, 11], [7, 11], [7, 11]], merging_types='Conv', prenorm=False, max_seq_len=25), decoder=dict( type='SVTRDecoder', in_channels=192, module_loss=dict( type='CTCModuleLoss', letter_case='lower', zero_infinity=True), postprocessor=dict(type='CTCPostProcessor'), dictionary=dict( type='Dictionary', dict_file= 'dicts/lower_english_digits.txt', with_padding=True, with_unknown=True)), data_preprocessor=dict( type='TextRecogDataPreprocessor', mean=[127.5], std=[127.5])) 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), 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=['exact', 'ignore_case', 'ignore_case_symbol']), dict(type='CharMetric') ], dataset_prefixes=['CUTE80', 'IIIT5K', 'SVT', 'SVTP', 'IC13', 'IC15']) test_evaluator = dict( type='MultiDatasetsEvaluator', metrics=[ dict( type='WordMetric', mode=['exact', 'ignore_case', 'ignore_case_symbol']), dict(type='CharMetric') ], dataset_prefixes=['CUTE80', 'IIIT5K', 'SVT', 'SVTP', 'IC13', 'IC15']) vis_backends = [dict(type='LocalVisBackend')] visualizer = dict( type='TextRecogLocalVisualizer', name='visualizer', vis_backends=[dict(type='LocalVisBackend')]) mjsynth_textrecog_data_root = 'data/rec/Syn90k/' mjsynth_textrecog_test = 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) mjsynth_sub_textrecog_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) synthtext_textrecog_data_root = 'data/rec/SynthText/' synthtext_textrecog_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) synthtext_an_textrecog_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) synthtext_sub_textrecog_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_textrecog_data_root = 'data/cute80' cute80_textrecog_test = dict( type='OCRDataset', data_root='data/cute80', ann_file='textrecog_test.json', test_mode=True, pipeline=None) iiit5k_textrecog_data_root = 'data/iiit5k' iiit5k_textrecog_train = dict( type='OCRDataset', data_root='data/iiit5k', ann_file='textrecog_train.json', pipeline=None) iiit5k_textrecog_test = dict( type='OCRDataset', data_root='data/iiit5k', ann_file='textrecog_test.json', test_mode=True, pipeline=None) svt_textrecog_data_root = 'data/svt' svt_textrecog_train = dict( type='OCRDataset', data_root='data/svt', ann_file='textrecog_train.json', pipeline=None) svt_textrecog_test = dict( type='OCRDataset', data_root='data/svt', ann_file='textrecog_test.json', test_mode=True, pipeline=None) svtp_textrecog_data_root = 'data/svtp' svtp_textrecog_train = dict( type='OCRDataset', data_root='data/svtp', ann_file='textrecog_train.json', pipeline=None) svtp_textrecog_test = dict( type='OCRDataset', data_root='data/svtp', ann_file='textrecog_test.json', test_mode=True, pipeline=None) icdar2013_textrecog_data_root = 'data/icdar2013' icdar2013_textrecog_train = dict( type='OCRDataset', data_root='data/icdar2013', ann_file='textrecog_train.json', pipeline=None) icdar2013_textrecog_test = dict( type='OCRDataset', data_root='data/icdar2013', ann_file='textrecog_test.json', test_mode=True, pipeline=None) icdar2013_857_textrecog_test = dict( type='OCRDataset', data_root='data/icdar2013', ann_file='textrecog_test_857.json', test_mode=True, pipeline=None) icdar2015_textrecog_data_root = 'data/icdar2015' icdar2015_textrecog_train = dict( type='OCRDataset', data_root='data/icdar2015', ann_file='textrecog_train.json', pipeline=None) icdar2015_textrecog_test = dict( type='OCRDataset', data_root='data/icdar2015', ann_file='textrecog_test.json', test_mode=True, pipeline=None) icdar2015_1811_textrecog_test = dict( type='OCRDataset', data_root='data/icdar2015', ann_file='textrecog_test_1811.json', test_mode=True, pipeline=None) optim_wrapper = dict( type='OptimWrapper', optimizer=dict( type='AdamW', lr=0.0005, betas=(0.9, 0.99), eps=8e-08, weight_decay=0.05)) train_cfg = dict(type='EpochBasedTrainLoop', max_epochs=20, val_interval=1) val_cfg = dict(type='ValLoop') test_cfg = dict(type='TestLoop') param_scheduler = [ dict( type='LinearLR', start_factor=0.5, end_factor=1.0, end=2, verbose=False, convert_to_iter_based=True), dict( type='CosineAnnealingLR', T_max=19, begin=2, end=20, verbose=False, convert_to_iter_based=True) ] file_client_args = dict(backend='disk') train_pipeline = [ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk'), ignore_empty=True, min_size=5), dict(type='LoadOCRAnnotations', with_text=True), dict( type='RandomApply', prob=0.4, transforms=[dict(type='TextRecogGeneralAug')]), dict( type='RandomApply', prob=0.4, transforms=[dict(type='TextRecogRandomCrop')]), dict( type='ConditionApply', condition='min(results["img_shape"])>10', true_transforms=dict( type='RandomApply', prob=0.4, transforms=[ dict( type='TorchVisionWrapper', op='GaussianBlur', kernel_size=5, sigma=1) ])), dict( type='RandomApply', prob=0.4, transforms=[ dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.5, saturation=0.5, contrast=0.5, hue=0.1) ]), dict( type='RandomApply', prob=0.4, transforms=[dict(type='ImageContentJitter')]), dict( type='RandomApply', prob=0.4, transforms=[ dict( type='ImgAugWrapper', args=[ dict( cls='AdditiveGaussianNoise', scale=0.31622776601683794) ]) ]), dict( type='RandomApply', prob=0.4, transforms=[dict(type='ReversePixels')]), dict(type='Resize', scale=(256, 64)), 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=(256, 64)), 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/cute80', ann_file='textrecog_test.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/iiit5k', ann_file='textrecog_test.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/svt', ann_file='textrecog_test.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/svtp', ann_file='textrecog_test.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/icdar2013', ann_file='textrecog_test.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/icdar2015', ann_file='textrecog_test.json', test_mode=True, pipeline=None) ] train_dataloader = dict( batch_size=512, num_workers=24, persistent_workers=True, pin_memory=True, sampler=dict(type='DefaultSampler', shuffle=True), 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=5), dict(type='LoadOCRAnnotations', with_text=True), dict( type='RandomApply', prob=0.4, transforms=[dict(type='TextRecogGeneralAug')]), dict( type='RandomApply', prob=0.4, transforms=[dict(type='TextRecogRandomCrop')]), dict( type='ConditionApply', condition='min(results["img_shape"])>10', true_transforms=dict( type='RandomApply', prob=0.4, transforms=[ dict( type='TorchVisionWrapper', op='GaussianBlur', kernel_size=5, sigma=1) ])), dict( type='RandomApply', prob=0.4, transforms=[ dict( type='TorchVisionWrapper', op='ColorJitter', brightness=0.5, saturation=0.5, contrast=0.5, hue=0.1) ]), dict( type='RandomApply', prob=0.4, transforms=[dict(type='ImageContentJitter')]), dict( type='RandomApply', prob=0.4, transforms=[ dict( type='ImgAugWrapper', args=[ dict( cls='AdditiveGaussianNoise', scale=0.31622776601683794) ]) ]), dict( type='RandomApply', prob=0.4, transforms=[dict(type='ReversePixels')]), dict(type='Resize', scale=(256, 64)), dict( type='PackTextRecogInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio')) ])) val_dataloader = dict( batch_size=128, num_workers=8, persistent_workers=True, pin_memory=True, drop_last=False, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='ConcatDataset', datasets=[ dict( type='OCRDataset', data_root='data/cute80', ann_file='textrecog_test.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/iiit5k', ann_file='textrecog_test.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/svt', ann_file='textrecog_test.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/svtp', ann_file='textrecog_test.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/icdar2013', ann_file='textrecog_test.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/icdar2015', ann_file='textrecog_test.json', test_mode=True, pipeline=None) ], pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk')), dict(type='Resize', scale=(256, 64)), dict(type='LoadOCRAnnotations', with_text=True), dict( type='PackTextRecogInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio')) ])) test_dataloader = dict( batch_size=128, num_workers=8, persistent_workers=True, pin_memory=True, drop_last=False, sampler=dict(type='DefaultSampler', shuffle=False), dataset=dict( type='ConcatDataset', datasets=[ dict( type='OCRDataset', data_root='data/cute80', ann_file='textrecog_test.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/iiit5k', ann_file='textrecog_test.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/svt', ann_file='textrecog_test.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/svtp', ann_file='textrecog_test.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/icdar2013', ann_file='textrecog_test.json', test_mode=True, pipeline=None), dict( type='OCRDataset', data_root='data/icdar2015', ann_file='textrecog_test.json', test_mode=True, pipeline=None) ], pipeline=[ dict( type='LoadImageFromFile', file_client_args=dict(backend='disk')), dict(type='Resize', scale=(256, 64)), dict(type='LoadOCRAnnotations', with_text=True), dict( type='PackTextRecogInputs', meta_keys=('img_path', 'ori_shape', 'img_shape', 'valid_ratio')) ])) launcher = 'pytorch' work_dir = 'work_dirs/svtr-small_20e_st_mj' 2023/01/05 18:44:58 - mmengine - WARNING - The "visualizer" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. 2023/01/05 18:44:58 - mmengine - WARNING - The "vis_backend" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. 2023/01/05 18:44:59 - mmengine - WARNING - The "model" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. 2023/01/05 18:44:59 - mmengine - WARNING - The "task util" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. 2023/01/05 18:45:00 - mmengine - WARNING - The "hook" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. 2023/01/05 18:45:00 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (BELOW_NORMAL) LoggerHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (VERY_LOW ) CheckpointHook -------------------- before_train_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (NORMAL ) DistSamplerSeedHook -------------------- before_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook -------------------- after_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_train_epoch: (NORMAL ) IterTimerHook (NORMAL ) SyncBuffersHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- before_val_epoch: (NORMAL ) IterTimerHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (NORMAL ) VisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (VERY_LOW ) CheckpointHook -------------------- before_test_epoch: (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (NORMAL ) VisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 2023/01/05 18:45:00 - mmengine - WARNING - The "loop" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. 2023/01/05 18:45:00 - mmengine - WARNING - The "dataset" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. 2023/01/05 18:45:00 - mmengine - WARNING - The "transform" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. 2023/01/05 18:46:54 - mmengine - WARNING - The "data sampler" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. 2023/01/05 18:46:54 - mmengine - WARNING - The "optimizer constructor" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. 2023/01/05 18:46:54 - mmengine - WARNING - The "optimizer" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. 2023/01/05 18:46:54 - mmengine - WARNING - The "optim wrapper" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. 2023/01/05 18:46:54 - mmengine - WARNING - The "parameter scheduler" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. 2023/01/05 18:46:55 - mmengine - WARNING - The "evaluator" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. 2023/01/05 18:46:55 - mmengine - WARNING - The "metric" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. 2023/01/05 18:46:55 - mmengine - WARNING - The "weight initializer" registry in mmocr did not set import location. Fallback to call `mmocr.utils.register_all_modules` instead. Name of parameter - Initialization information preprocessor.stn_convnet.0.conv.weight - torch.Size([32, 3, 3, 3]): XavierInit: gain=1, distribution=normal, bias=0 preprocessor.stn_convnet.0.bn.weight - torch.Size([32]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_convnet.0.bn.bias - torch.Size([32]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_convnet.2.conv.weight - torch.Size([64, 32, 3, 3]): XavierInit: gain=1, distribution=normal, bias=0 preprocessor.stn_convnet.2.bn.weight - torch.Size([64]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_convnet.2.bn.bias - torch.Size([64]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_convnet.4.conv.weight - torch.Size([128, 64, 3, 3]): XavierInit: gain=1, distribution=normal, bias=0 preprocessor.stn_convnet.4.bn.weight - torch.Size([128]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_convnet.4.bn.bias - torch.Size([128]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_convnet.6.conv.weight - torch.Size([256, 128, 3, 3]): XavierInit: gain=1, distribution=normal, bias=0 preprocessor.stn_convnet.6.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_convnet.6.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_convnet.8.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=normal, bias=0 preprocessor.stn_convnet.8.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_convnet.8.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_convnet.10.conv.weight - torch.Size([256, 256, 3, 3]): XavierInit: gain=1, distribution=normal, bias=0 preprocessor.stn_convnet.10.bn.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_convnet.10.bn.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_fc1.0.weight - torch.Size([512, 512]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_fc1.0.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_fc1.1.weight - torch.Size([512]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_fc1.1.bias - torch.Size([512]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_fc2.weight - torch.Size([40, 512]): The value is the same before and after calling `init_weights` of SVTR preprocessor.stn_fc2.bias - torch.Size([40]): The value is the same before and after calling `init_weights` of SVTR encoder.absolute_pos_embed - torch.Size([1, 200, 96]): The value is the same before and after calling `init_weights` of SVTR encoder.patch_embed.net.ConvModule0.conv.weight - torch.Size([48, 3, 3, 3]): The value is the same before and after calling `init_weights` of SVTR encoder.patch_embed.net.ConvModule0.bn.weight - torch.Size([48]): The value is the same before and after calling `init_weights` of SVTR encoder.patch_embed.net.ConvModule0.bn.bias - torch.Size([48]): The value is the same before and after calling `init_weights` of SVTR encoder.patch_embed.net.ConvModule1.conv.weight - torch.Size([96, 48, 3, 3]): The value is the same before and after calling `init_weights` of SVTR encoder.patch_embed.net.ConvModule1.bn.weight - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.patch_embed.net.ConvModule1.bn.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.0.norm1.weight - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.0.norm1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.0.mixer.qkv.weight - torch.Size([288, 96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.0.mixer.qkv.bias - torch.Size([288]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.0.mixer.proj.weight - torch.Size([96, 96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.0.mixer.proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.0.norm2.weight - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.0.norm2.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.0.mlp.fc1.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.0.mlp.fc1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.0.mlp.fc2.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.0.mlp.fc2.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.1.norm1.weight - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.1.norm1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.1.mixer.qkv.weight - torch.Size([288, 96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.1.mixer.qkv.bias - torch.Size([288]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.1.mixer.proj.weight - torch.Size([96, 96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.1.mixer.proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.1.norm2.weight - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.1.norm2.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.1.mlp.fc1.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.1.mlp.fc1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.1.mlp.fc2.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.1.mlp.fc2.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.2.norm1.weight - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.2.norm1.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.2.mixer.qkv.weight - torch.Size([288, 96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.2.mixer.qkv.bias - torch.Size([288]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.2.mixer.proj.weight - torch.Size([96, 96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.2.mixer.proj.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.2.norm2.weight - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.2.norm2.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.2.mlp.fc1.weight - torch.Size([384, 96]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.2.mlp.fc1.bias - torch.Size([384]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.2.mlp.fc2.weight - torch.Size([96, 384]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks1.2.mlp.fc2.bias - torch.Size([96]): The value is the same before and after calling `init_weights` of SVTR encoder.downsample1.conv.weight - torch.Size([192, 96, 3, 3]): The value is the same before and after calling `init_weights` of SVTR encoder.downsample1.conv.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.downsample1.norm.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.downsample1.norm.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.0.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.0.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.0.mixer.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.0.mixer.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.0.mixer.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.0.mixer.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.0.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.0.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.0.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.0.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.0.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.0.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.1.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.1.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.1.mixer.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.1.mixer.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.1.mixer.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.1.mixer.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.1.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.1.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.1.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.1.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.1.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.1.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.2.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.2.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.2.mixer.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.2.mixer.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.2.mixer.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.2.mixer.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.2.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.2.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.2.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.2.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.2.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.2.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.3.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.3.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.3.mixer.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.3.mixer.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.3.mixer.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.3.mixer.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.3.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.3.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.3.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.3.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.3.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.3.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.4.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.4.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.4.mixer.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.4.mixer.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.4.mixer.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.4.mixer.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.4.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.4.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.4.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.4.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.4.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.4.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.5.norm1.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.5.norm1.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.5.mixer.qkv.weight - torch.Size([576, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.5.mixer.qkv.bias - torch.Size([576]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.5.mixer.proj.weight - torch.Size([192, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.5.mixer.proj.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.5.norm2.weight - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.5.norm2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.5.mlp.fc1.weight - torch.Size([768, 192]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.5.mlp.fc1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.5.mlp.fc2.weight - torch.Size([192, 768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks2.5.mlp.fc2.bias - torch.Size([192]): The value is the same before and after calling `init_weights` of SVTR encoder.downsample2.conv.weight - torch.Size([256, 192, 3, 3]): The value is the same before and after calling `init_weights` of SVTR encoder.downsample2.conv.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.downsample2.norm.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.downsample2.norm.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.0.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.0.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.0.mixer.qkv.weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.0.mixer.qkv.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.0.mixer.proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.0.mixer.proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.0.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.0.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.0.mlp.fc1.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.0.mlp.fc1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.0.mlp.fc2.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.0.mlp.fc2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.1.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.1.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.1.mixer.qkv.weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.1.mixer.qkv.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.1.mixer.proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.1.mixer.proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.1.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.1.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.1.mlp.fc1.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.1.mlp.fc1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.1.mlp.fc2.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.1.mlp.fc2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.2.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.2.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.2.mixer.qkv.weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.2.mixer.qkv.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.2.mixer.proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.2.mixer.proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.2.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.2.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.2.mlp.fc1.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.2.mlp.fc1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.2.mlp.fc2.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.2.mlp.fc2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.3.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.3.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.3.mixer.qkv.weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.3.mixer.qkv.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.3.mixer.proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.3.mixer.proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.3.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.3.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.3.mlp.fc1.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.3.mlp.fc1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.3.mlp.fc2.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.3.mlp.fc2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.4.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.4.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.4.mixer.qkv.weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.4.mixer.qkv.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.4.mixer.proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.4.mixer.proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.4.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.4.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.4.mlp.fc1.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.4.mlp.fc1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.4.mlp.fc2.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.4.mlp.fc2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.5.norm1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.5.norm1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.5.mixer.qkv.weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.5.mixer.qkv.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.5.mixer.proj.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.5.mixer.proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.5.norm2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.5.norm2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.5.mlp.fc1.weight - torch.Size([1024, 256]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.5.mlp.fc1.bias - torch.Size([1024]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.5.mlp.fc2.weight - torch.Size([256, 1024]): The value is the same before and after calling `init_weights` of SVTR encoder.blocks3.5.mlp.fc2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.layer_norm.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.layer_norm.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SVTR encoder.last_conv.weight - torch.Size([192, 256, 1, 1]): The value is the same before and after calling `init_weights` of SVTR decoder.decoder.weight - torch.Size([38, 192]): The value is the same before and after calling `init_weights` of SVTR decoder.decoder.bias - torch.Size([38]): The value is the same before and after calling `init_weights` of SVTR 2023/01/05 18:46:55 - mmengine - INFO - Checkpoints will be saved to work_dirs/svtr-small_20e_st_mj. 2023/01/05 18:48:36 - mmengine - INFO - Epoch(train) [1][ 100/7904] lr: 2.5157e-04 eta: 1 day, 20:26:50 time: 0.4797 data_time: 0.0015 memory: 11166 loss: 3.4474 loss_ctc: 3.4474 2023/01/05 18:49:21 - mmengine - INFO - Epoch(train) [1][ 200/7904] lr: 2.5315e-04 eta: 1 day, 8:03:44 time: 0.4175 data_time: 0.0014 memory: 11154 loss: 3.2632 loss_ctc: 3.2632 2023/01/05 18:50:03 - mmengine - INFO - Epoch(train) [1][ 300/7904] lr: 2.5473e-04 eta: 1 day, 3:24:55 time: 0.4320 data_time: 0.0014 memory: 11154 loss: 3.1420 loss_ctc: 3.1420 2023/01/05 18:50:47 - mmengine - INFO - Epoch(train) [1][ 400/7904] lr: 2.5631e-04 eta: 1 day, 1:23:45 time: 0.4169 data_time: 0.0014 memory: 11154 loss: 3.0335 loss_ctc: 3.0335 2023/01/05 18:51:31 - mmengine - INFO - Epoch(train) [1][ 500/7904] lr: 2.5789e-04 eta: 1 day, 0:08:17 time: 0.4583 data_time: 0.0014 memory: 11154 loss: 2.9660 loss_ctc: 2.9660 2023/01/05 18:52:14 - mmengine - INFO - Epoch(train) [1][ 600/7904] lr: 2.5947e-04 eta: 23:16:25 time: 0.4541 data_time: 0.0014 memory: 11154 loss: 2.8359 loss_ctc: 2.8359 2023/01/05 18:52:59 - mmengine - INFO - Epoch(train) [1][ 700/7904] lr: 2.6106e-04 eta: 22:42:40 time: 0.4186 data_time: 0.0014 memory: 11154 loss: 2.4332 loss_ctc: 2.4332 2023/01/05 18:53:42 - mmengine - INFO - Epoch(train) [1][ 800/7904] lr: 2.6264e-04 eta: 22:13:05 time: 0.4199 data_time: 0.0015 memory: 11154 loss: 1.5905 loss_ctc: 1.5905 2023/01/05 18:54:27 - mmengine - INFO - Epoch(train) [1][ 900/7904] lr: 2.6422e-04 eta: 21:54:37 time: 0.4609 data_time: 0.0015 memory: 11154 loss: 1.2088 loss_ctc: 1.2088 2023/01/05 18:55:12 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 18:55:12 - mmengine - INFO - Epoch(train) [1][1000/7904] lr: 2.6580e-04 eta: 21:39:26 time: 0.4345 data_time: 0.0015 memory: 11154 loss: 1.0250 loss_ctc: 1.0250 2023/01/05 18:55:55 - mmengine - INFO - Epoch(train) [1][1100/7904] lr: 2.6738e-04 eta: 21:24:07 time: 0.4380 data_time: 0.0015 memory: 11154 loss: 0.9031 loss_ctc: 0.9031 2023/01/05 18:56:40 - mmengine - INFO - Epoch(train) [1][1200/7904] lr: 2.6896e-04 eta: 21:14:56 time: 0.4298 data_time: 0.0015 memory: 11154 loss: 0.8418 loss_ctc: 0.8418 2023/01/05 18:57:25 - mmengine - INFO - Epoch(train) [1][1300/7904] lr: 2.7054e-04 eta: 21:06:15 time: 0.4578 data_time: 0.0014 memory: 11154 loss: 0.7722 loss_ctc: 0.7722 2023/01/05 18:58:08 - mmengine - INFO - Epoch(train) [1][1400/7904] lr: 2.7213e-04 eta: 20:55:21 time: 0.4168 data_time: 0.0014 memory: 11154 loss: 0.7009 loss_ctc: 0.7009 2023/01/05 18:58:53 - mmengine - INFO - Epoch(train) [1][1500/7904] lr: 2.7371e-04 eta: 20:48:14 time: 0.4495 data_time: 0.0015 memory: 11154 loss: 0.6560 loss_ctc: 0.6560 2023/01/05 18:59:38 - mmengine - INFO - Epoch(train) [1][1600/7904] lr: 2.7529e-04 eta: 20:42:41 time: 0.4435 data_time: 0.0014 memory: 11154 loss: 0.6372 loss_ctc: 0.6372 2023/01/05 19:00:22 - mmengine - INFO - Epoch(train) [1][1700/7904] lr: 2.7687e-04 eta: 20:36:43 time: 0.4204 data_time: 0.0015 memory: 11154 loss: 0.6016 loss_ctc: 0.6016 2023/01/05 19:01:07 - mmengine - INFO - Epoch(train) [1][1800/7904] lr: 2.7845e-04 eta: 20:32:39 time: 0.4699 data_time: 0.0015 memory: 11154 loss: 0.5813 loss_ctc: 0.5813 2023/01/05 19:01:50 - mmengine - INFO - Epoch(train) [1][1900/7904] lr: 2.8003e-04 eta: 20:25:35 time: 0.4523 data_time: 0.0015 memory: 11154 loss: 0.5412 loss_ctc: 0.5412 2023/01/05 19:02:34 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 19:02:34 - mmengine - INFO - Epoch(train) [1][2000/7904] lr: 2.8162e-04 eta: 20:21:06 time: 0.4996 data_time: 0.0015 memory: 11154 loss: 0.5459 loss_ctc: 0.5459 2023/01/05 19:03:17 - mmengine - INFO - Epoch(train) [1][2100/7904] lr: 2.8320e-04 eta: 20:15:42 time: 0.4292 data_time: 0.0014 memory: 11154 loss: 0.5240 loss_ctc: 0.5240 2023/01/05 19:04:01 - mmengine - INFO - Epoch(train) [1][2200/7904] lr: 2.8478e-04 eta: 20:11:07 time: 0.3905 data_time: 0.0016 memory: 11154 loss: 0.4987 loss_ctc: 0.4987 2023/01/05 19:04:47 - mmengine - INFO - Epoch(train) [1][2300/7904] lr: 2.8636e-04 eta: 20:09:19 time: 0.4683 data_time: 0.0015 memory: 11154 loss: 0.5050 loss_ctc: 0.5050 2023/01/05 19:05:32 - mmengine - INFO - Epoch(train) [1][2400/7904] lr: 2.8794e-04 eta: 20:07:48 time: 0.4778 data_time: 0.0015 memory: 11154 loss: 0.5001 loss_ctc: 0.5001 2023/01/05 19:06:16 - mmengine - INFO - Epoch(train) [1][2500/7904] lr: 2.8952e-04 eta: 20:04:19 time: 0.4747 data_time: 0.0015 memory: 11154 loss: 0.4804 loss_ctc: 0.4804 2023/01/05 19:06:59 - mmengine - INFO - Epoch(train) [1][2600/7904] lr: 2.9111e-04 eta: 20:00:04 time: 0.4388 data_time: 0.0015 memory: 11154 loss: 0.4778 loss_ctc: 0.4778 2023/01/05 19:07:43 - mmengine - INFO - Epoch(train) [1][2700/7904] lr: 2.9269e-04 eta: 19:56:51 time: 0.4171 data_time: 0.0016 memory: 11154 loss: 0.4619 loss_ctc: 0.4619 2023/01/05 19:08:28 - mmengine - INFO - Epoch(train) [1][2800/7904] lr: 2.9427e-04 eta: 19:54:28 time: 0.4481 data_time: 0.0015 memory: 11154 loss: 0.4388 loss_ctc: 0.4388 2023/01/05 19:09:11 - mmengine - INFO - Epoch(train) [1][2900/7904] lr: 2.9585e-04 eta: 19:51:15 time: 0.4435 data_time: 0.0015 memory: 11154 loss: 0.4481 loss_ctc: 0.4481 2023/01/05 19:09:56 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 19:09:56 - mmengine - INFO - Epoch(train) [1][3000/7904] lr: 2.9743e-04 eta: 19:49:38 time: 0.4393 data_time: 0.0015 memory: 11154 loss: 0.4191 loss_ctc: 0.4191 2023/01/05 19:10:40 - mmengine - INFO - Epoch(train) [1][3100/7904] lr: 2.9901e-04 eta: 19:46:51 time: 0.4322 data_time: 0.0015 memory: 11154 loss: 0.4140 loss_ctc: 0.4140 2023/01/05 19:11:24 - mmengine - INFO - Epoch(train) [1][3200/7904] lr: 3.0059e-04 eta: 19:44:52 time: 0.4676 data_time: 0.0016 memory: 11154 loss: 0.4021 loss_ctc: 0.4021 2023/01/05 19:12:09 - mmengine - INFO - Epoch(train) [1][3300/7904] lr: 3.0218e-04 eta: 19:43:19 time: 0.4470 data_time: 0.0015 memory: 11154 loss: 0.4309 loss_ctc: 0.4309 2023/01/05 19:12:51 - mmengine - INFO - Epoch(train) [1][3400/7904] lr: 3.0376e-04 eta: 19:39:42 time: 0.4175 data_time: 0.0016 memory: 11154 loss: 0.4161 loss_ctc: 0.4161 2023/01/05 19:13:34 - mmengine - INFO - Epoch(train) [1][3500/7904] lr: 3.0534e-04 eta: 19:36:38 time: 0.3915 data_time: 0.0015 memory: 11154 loss: 0.4083 loss_ctc: 0.4083 2023/01/05 19:14:16 - mmengine - INFO - Epoch(train) [1][3600/7904] lr: 3.0692e-04 eta: 19:33:36 time: 0.4007 data_time: 0.0016 memory: 11154 loss: 0.4033 loss_ctc: 0.4033 2023/01/05 19:14:59 - mmengine - INFO - Epoch(train) [1][3700/7904] lr: 3.0850e-04 eta: 19:31:04 time: 0.4107 data_time: 0.0015 memory: 11154 loss: 0.3915 loss_ctc: 0.3915 2023/01/05 19:15:43 - mmengine - INFO - Epoch(train) [1][3800/7904] lr: 3.1008e-04 eta: 19:28:59 time: 0.4032 data_time: 0.0015 memory: 11154 loss: 0.3846 loss_ctc: 0.3846 2023/01/05 19:16:26 - mmengine - INFO - Epoch(train) [1][3900/7904] lr: 3.1167e-04 eta: 19:26:29 time: 0.4592 data_time: 0.0016 memory: 11154 loss: 0.3968 loss_ctc: 0.3968 2023/01/05 19:17:09 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 19:17:09 - mmengine - INFO - Epoch(train) [1][4000/7904] lr: 3.1325e-04 eta: 19:24:16 time: 0.4194 data_time: 0.0015 memory: 11154 loss: 0.3768 loss_ctc: 0.3768 2023/01/05 19:17:50 - mmengine - INFO - Epoch(train) [1][4100/7904] lr: 3.1483e-04 eta: 19:21:10 time: 0.4079 data_time: 0.0015 memory: 11154 loss: 0.3769 loss_ctc: 0.3769 2023/01/05 19:18:34 - mmengine - INFO - Epoch(train) [1][4200/7904] lr: 3.1641e-04 eta: 19:19:35 time: 0.4545 data_time: 0.0015 memory: 11154 loss: 0.3769 loss_ctc: 0.3769 2023/01/05 19:19:17 - mmengine - INFO - Epoch(train) [1][4300/7904] lr: 3.1799e-04 eta: 19:17:10 time: 0.4676 data_time: 0.0015 memory: 11154 loss: 0.3751 loss_ctc: 0.3751 2023/01/05 19:20:00 - mmengine - INFO - Epoch(train) [1][4400/7904] lr: 3.1957e-04 eta: 19:15:19 time: 0.4446 data_time: 0.0016 memory: 11154 loss: 0.3823 loss_ctc: 0.3823 2023/01/05 19:20:45 - mmengine - INFO - Epoch(train) [1][4500/7904] lr: 3.2116e-04 eta: 19:14:15 time: 0.4623 data_time: 0.0016 memory: 11154 loss: 0.3330 loss_ctc: 0.3330 2023/01/05 19:21:28 - mmengine - INFO - Epoch(train) [1][4600/7904] lr: 3.2274e-04 eta: 19:12:49 time: 0.4422 data_time: 0.0016 memory: 11154 loss: 0.3583 loss_ctc: 0.3583 2023/01/05 19:22:14 - mmengine - INFO - Epoch(train) [1][4700/7904] lr: 3.2432e-04 eta: 19:12:29 time: 0.4598 data_time: 0.0016 memory: 11154 loss: 0.3510 loss_ctc: 0.3510 2023/01/05 19:22:58 - mmengine - INFO - Epoch(train) [1][4800/7904] lr: 3.2590e-04 eta: 19:10:51 time: 0.4331 data_time: 0.0015 memory: 11154 loss: 0.3582 loss_ctc: 0.3582 2023/01/05 19:23:42 - mmengine - INFO - Epoch(train) [1][4900/7904] lr: 3.2748e-04 eta: 19:09:50 time: 0.4753 data_time: 0.0016 memory: 11154 loss: 0.3476 loss_ctc: 0.3476 2023/01/05 19:24:27 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 19:24:27 - mmengine - INFO - Epoch(train) [1][5000/7904] lr: 3.2906e-04 eta: 19:09:06 time: 0.4349 data_time: 0.0015 memory: 11154 loss: 0.3385 loss_ctc: 0.3385 2023/01/05 19:25:11 - mmengine - INFO - Epoch(train) [1][5100/7904] lr: 3.3064e-04 eta: 19:07:34 time: 0.4304 data_time: 0.0015 memory: 11154 loss: 0.3476 loss_ctc: 0.3476 2023/01/05 19:25:55 - mmengine - INFO - Epoch(train) [1][5200/7904] lr: 3.3223e-04 eta: 19:06:15 time: 0.4176 data_time: 0.0016 memory: 11154 loss: 0.3232 loss_ctc: 0.3232 2023/01/05 19:26:38 - mmengine - INFO - Epoch(train) [1][5300/7904] lr: 3.3381e-04 eta: 19:04:45 time: 0.3844 data_time: 0.0015 memory: 11154 loss: 0.3597 loss_ctc: 0.3597 2023/01/05 19:27:22 - mmengine - INFO - Epoch(train) [1][5400/7904] lr: 3.3539e-04 eta: 19:03:36 time: 0.4513 data_time: 0.0015 memory: 11154 loss: 0.3481 loss_ctc: 0.3481 2023/01/05 19:28:06 - mmengine - INFO - Epoch(train) [1][5500/7904] lr: 3.3697e-04 eta: 19:02:16 time: 0.4410 data_time: 0.0015 memory: 11154 loss: 0.3182 loss_ctc: 0.3182 2023/01/05 19:28:51 - mmengine - INFO - Epoch(train) [1][5600/7904] lr: 3.3855e-04 eta: 19:01:34 time: 0.4700 data_time: 0.0016 memory: 11154 loss: 0.3379 loss_ctc: 0.3379 2023/01/05 19:29:35 - mmengine - INFO - Epoch(train) [1][5700/7904] lr: 3.4013e-04 eta: 19:00:22 time: 0.4229 data_time: 0.0017 memory: 11154 loss: 0.3317 loss_ctc: 0.3317 2023/01/05 19:30:19 - mmengine - INFO - Epoch(train) [1][5800/7904] lr: 3.4172e-04 eta: 18:59:08 time: 0.4406 data_time: 0.0017 memory: 11154 loss: 0.2931 loss_ctc: 0.2931 2023/01/05 19:31:03 - mmengine - INFO - Epoch(train) [1][5900/7904] lr: 3.4330e-04 eta: 18:58:15 time: 0.4427 data_time: 0.0016 memory: 11154 loss: 0.3474 loss_ctc: 0.3474 2023/01/05 19:31:47 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 19:31:47 - mmengine - INFO - Epoch(train) [1][6000/7904] lr: 3.4488e-04 eta: 18:57:01 time: 0.4392 data_time: 0.0016 memory: 11154 loss: 0.3224 loss_ctc: 0.3224 2023/01/05 19:32:30 - mmengine - INFO - Epoch(train) [1][6100/7904] lr: 3.4646e-04 eta: 18:55:41 time: 0.4709 data_time: 0.0016 memory: 11154 loss: 0.3150 loss_ctc: 0.3150 2023/01/05 19:33:14 - mmengine - INFO - Epoch(train) [1][6200/7904] lr: 3.4804e-04 eta: 18:54:19 time: 0.4755 data_time: 0.0015 memory: 11154 loss: 0.3203 loss_ctc: 0.3203 2023/01/05 19:33:57 - mmengine - INFO - Epoch(train) [1][6300/7904] lr: 3.4962e-04 eta: 18:52:49 time: 0.4545 data_time: 0.0017 memory: 11154 loss: 0.3153 loss_ctc: 0.3153 2023/01/05 19:34:40 - mmengine - INFO - Epoch(train) [1][6400/7904] lr: 3.5121e-04 eta: 18:51:41 time: 0.4641 data_time: 0.0015 memory: 11154 loss: 0.3228 loss_ctc: 0.3228 2023/01/05 19:35:25 - mmengine - INFO - Epoch(train) [1][6500/7904] lr: 3.5279e-04 eta: 18:50:52 time: 0.4622 data_time: 0.0015 memory: 11154 loss: 0.3323 loss_ctc: 0.3323 2023/01/05 19:36:10 - mmengine - INFO - Epoch(train) [1][6600/7904] lr: 3.5437e-04 eta: 18:50:05 time: 0.4429 data_time: 0.0015 memory: 11154 loss: 0.3380 loss_ctc: 0.3380 2023/01/05 19:36:55 - mmengine - INFO - Epoch(train) [1][6700/7904] lr: 3.5595e-04 eta: 18:49:24 time: 0.4606 data_time: 0.0016 memory: 11154 loss: 0.3043 loss_ctc: 0.3043 2023/01/05 19:37:37 - mmengine - INFO - Epoch(train) [1][6800/7904] lr: 3.5753e-04 eta: 18:47:50 time: 0.4068 data_time: 0.0016 memory: 11154 loss: 0.3226 loss_ctc: 0.3226 2023/01/05 19:38:20 - mmengine - INFO - Epoch(train) [1][6900/7904] lr: 3.5911e-04 eta: 18:46:29 time: 0.3985 data_time: 0.0016 memory: 11154 loss: 0.2916 loss_ctc: 0.2916 2023/01/05 19:39:03 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 19:39:03 - mmengine - INFO - Epoch(train) [1][7000/7904] lr: 3.6069e-04 eta: 18:45:04 time: 0.4490 data_time: 0.0016 memory: 11154 loss: 0.3178 loss_ctc: 0.3178 2023/01/05 19:39:45 - mmengine - INFO - Epoch(train) [1][7100/7904] lr: 3.6228e-04 eta: 18:43:17 time: 0.4203 data_time: 0.0016 memory: 11154 loss: 0.2906 loss_ctc: 0.2906 2023/01/05 19:40:28 - mmengine - INFO - Epoch(train) [1][7200/7904] lr: 3.6386e-04 eta: 18:42:11 time: 0.5111 data_time: 0.0016 memory: 11154 loss: 0.3133 loss_ctc: 0.3133 2023/01/05 19:41:11 - mmengine - INFO - Epoch(train) [1][7300/7904] lr: 3.6544e-04 eta: 18:40:50 time: 0.4469 data_time: 0.0015 memory: 11154 loss: 0.3061 loss_ctc: 0.3061 2023/01/05 19:41:54 - mmengine - INFO - Epoch(train) [1][7400/7904] lr: 3.6702e-04 eta: 18:39:30 time: 0.4481 data_time: 0.0015 memory: 11154 loss: 0.2773 loss_ctc: 0.2773 2023/01/05 19:42:34 - mmengine - INFO - Epoch(train) [1][7500/7904] lr: 3.6860e-04 eta: 18:37:19 time: 0.4333 data_time: 0.0015 memory: 11154 loss: 0.2941 loss_ctc: 0.2941 2023/01/05 19:43:16 - mmengine - INFO - Epoch(train) [1][7600/7904] lr: 3.7018e-04 eta: 18:35:45 time: 0.4208 data_time: 0.0015 memory: 11154 loss: 0.2879 loss_ctc: 0.2879 2023/01/05 19:43:58 - mmengine - INFO - Epoch(train) [1][7700/7904] lr: 3.7177e-04 eta: 18:34:03 time: 0.4498 data_time: 0.0015 memory: 11154 loss: 0.2835 loss_ctc: 0.2835 2023/01/05 19:44:42 - mmengine - INFO - Epoch(train) [1][7800/7904] lr: 3.7335e-04 eta: 18:33:05 time: 0.4453 data_time: 0.0015 memory: 11154 loss: 0.2901 loss_ctc: 0.2901 2023/01/05 19:45:20 - mmengine - INFO - Epoch(train) [1][7900/7904] lr: 3.7493e-04 eta: 18:30:25 time: 0.3045 data_time: 0.0012 memory: 11154 loss: 0.3039 loss_ctc: 0.3039 2023/01/05 19:45:22 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 19:45:22 - mmengine - INFO - Saving checkpoint at 1 epochs 2023/01/05 19:45:26 - mmengine - INFO - Epoch(val) [1][15/15] CUTE80/recog/word_acc: 0.1597 CUTE80/recog/word_acc_ignore_case: 0.7639 CUTE80/recog/word_acc_ignore_case_symbol: 0.7639 IIIT5K/recog/word_acc: 0.0610 IIIT5K/recog/word_acc_ignore_case: 0.8050 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8050 SVT/recog/word_acc: 0.8238 SVT/recog/word_acc_ignore_case: 0.8238 SVT/recog/word_acc_ignore_case_symbol: 0.8238 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.7101 SVTP/recog/word_acc_ignore_case_symbol: 0.7101 IC13/recog/word_acc: 0.2719 IC13/recog/word_acc_ignore_case: 0.8837 IC13/recog/word_acc_ignore_case_symbol: 0.8837 IC15/recog/word_acc: 0.1045 IC15/recog/word_acc_ignore_case: 0.6466 IC15/recog/word_acc_ignore_case_symbol: 0.6548 CUTE80/recog/char_recall: 0.8846 CUTE80/recog/char_precision: 0.8958 IIIT5K/recog/char_recall: 0.9648 IIIT5K/recog/char_precision: 0.8983 SVT/recog/char_recall: 0.9547 SVT/recog/char_precision: 0.9472 SVTP/recog/char_recall: 0.8957 SVTP/recog/char_precision: 0.9215 IC13/recog/char_recall: 0.9748 IC13/recog/char_precision: 0.9648 IC15/recog/char_recall: 0.8913 IC15/recog/char_precision: 0.8761 2023/01/05 19:46:22 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 19:46:24 - mmengine - INFO - Epoch(train) [2][ 100/7904] lr: 3.7657e-04 eta: 18:33:57 time: 0.3983 data_time: 0.0017 memory: 11172 loss: 0.3040 loss_ctc: 0.3040 2023/01/05 19:47:07 - mmengine - INFO - Epoch(train) [2][ 200/7904] lr: 3.7816e-04 eta: 18:32:44 time: 0.4401 data_time: 0.0017 memory: 11161 loss: 0.3038 loss_ctc: 0.3038 2023/01/05 19:47:50 - mmengine - INFO - Epoch(train) [2][ 300/7904] lr: 3.7974e-04 eta: 18:31:38 time: 0.4541 data_time: 0.0017 memory: 11161 loss: 0.2675 loss_ctc: 0.2675 2023/01/05 19:48:34 - mmengine - INFO - Epoch(train) [2][ 400/7904] lr: 3.8132e-04 eta: 18:30:44 time: 0.4314 data_time: 0.0017 memory: 11161 loss: 0.2890 loss_ctc: 0.2890 2023/01/05 19:49:19 - mmengine - INFO - Epoch(train) [2][ 500/7904] lr: 3.8290e-04 eta: 18:30:02 time: 0.4452 data_time: 0.0017 memory: 11161 loss: 0.2790 loss_ctc: 0.2790 2023/01/05 19:50:03 - mmengine - INFO - Epoch(train) [2][ 600/7904] lr: 3.8448e-04 eta: 18:29:08 time: 0.4257 data_time: 0.0017 memory: 11161 loss: 0.2822 loss_ctc: 0.2822 2023/01/05 19:50:49 - mmengine - INFO - Epoch(train) [2][ 700/7904] lr: 3.8606e-04 eta: 18:28:54 time: 0.4427 data_time: 0.0019 memory: 11161 loss: 0.2894 loss_ctc: 0.2894 2023/01/05 19:51:34 - mmengine - INFO - Epoch(train) [2][ 800/7904] lr: 3.8764e-04 eta: 18:28:14 time: 0.4292 data_time: 0.0017 memory: 11161 loss: 0.2607 loss_ctc: 0.2607 2023/01/05 19:52:18 - mmengine - INFO - Epoch(train) [2][ 900/7904] lr: 3.8923e-04 eta: 18:27:19 time: 0.4057 data_time: 0.0017 memory: 11161 loss: 0.2686 loss_ctc: 0.2686 2023/01/05 19:53:01 - mmengine - INFO - Epoch(train) [2][1000/7904] lr: 3.9081e-04 eta: 18:26:12 time: 0.4304 data_time: 0.0017 memory: 11161 loss: 0.2921 loss_ctc: 0.2921 2023/01/05 19:53:42 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 19:53:44 - mmengine - INFO - Epoch(train) [2][1100/7904] lr: 3.9239e-04 eta: 18:24:59 time: 0.4177 data_time: 0.0017 memory: 11161 loss: 0.2699 loss_ctc: 0.2699 2023/01/05 19:54:27 - mmengine - INFO - Epoch(train) [2][1200/7904] lr: 3.9397e-04 eta: 18:23:52 time: 0.4034 data_time: 0.0018 memory: 11161 loss: 0.2925 loss_ctc: 0.2925 2023/01/05 19:55:10 - mmengine - INFO - Epoch(train) [2][1300/7904] lr: 3.9555e-04 eta: 18:22:53 time: 0.4538 data_time: 0.0017 memory: 11161 loss: 0.2910 loss_ctc: 0.2910 2023/01/05 19:55:56 - mmengine - INFO - Epoch(train) [2][1400/7904] lr: 3.9713e-04 eta: 18:22:30 time: 0.4801 data_time: 0.0018 memory: 11161 loss: 0.2683 loss_ctc: 0.2683 2023/01/05 19:56:39 - mmengine - INFO - Epoch(train) [2][1500/7904] lr: 3.9872e-04 eta: 18:21:22 time: 0.4131 data_time: 0.0017 memory: 11161 loss: 0.2824 loss_ctc: 0.2824 2023/01/05 19:57:23 - mmengine - INFO - Epoch(train) [2][1600/7904] lr: 4.0030e-04 eta: 18:20:29 time: 0.4376 data_time: 0.0017 memory: 11161 loss: 0.2543 loss_ctc: 0.2543 2023/01/05 19:58:09 - mmengine - INFO - Epoch(train) [2][1700/7904] lr: 4.0188e-04 eta: 18:20:01 time: 0.4919 data_time: 0.0017 memory: 11161 loss: 0.2794 loss_ctc: 0.2794 2023/01/05 19:58:51 - mmengine - INFO - Epoch(train) [2][1800/7904] lr: 4.0346e-04 eta: 18:18:46 time: 0.4229 data_time: 0.0017 memory: 11161 loss: 0.2694 loss_ctc: 0.2694 2023/01/05 19:59:33 - mmengine - INFO - Epoch(train) [2][1900/7904] lr: 4.0504e-04 eta: 18:17:18 time: 0.4028 data_time: 0.0017 memory: 11161 loss: 0.2964 loss_ctc: 0.2964 2023/01/05 20:00:17 - mmengine - INFO - Epoch(train) [2][2000/7904] lr: 4.0662e-04 eta: 18:16:39 time: 0.4624 data_time: 0.0018 memory: 11161 loss: 0.2875 loss_ctc: 0.2875 2023/01/05 20:00:58 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 20:01:00 - mmengine - INFO - Epoch(train) [2][2100/7904] lr: 4.0821e-04 eta: 18:15:26 time: 0.3913 data_time: 0.0017 memory: 11161 loss: 0.2862 loss_ctc: 0.2862 2023/01/05 20:01:45 - mmengine - INFO - Epoch(train) [2][2200/7904] lr: 4.0979e-04 eta: 18:14:47 time: 0.4535 data_time: 0.0017 memory: 11161 loss: 0.2657 loss_ctc: 0.2657 2023/01/05 20:02:27 - mmengine - INFO - Epoch(train) [2][2300/7904] lr: 4.1137e-04 eta: 18:13:42 time: 0.4021 data_time: 0.0017 memory: 11161 loss: 0.2579 loss_ctc: 0.2579 2023/01/05 20:03:12 - mmengine - INFO - Epoch(train) [2][2400/7904] lr: 4.1295e-04 eta: 18:13:02 time: 0.4300 data_time: 0.0018 memory: 11161 loss: 0.2938 loss_ctc: 0.2938 2023/01/05 20:03:56 - mmengine - INFO - Epoch(train) [2][2500/7904] lr: 4.1453e-04 eta: 18:12:08 time: 0.4191 data_time: 0.0018 memory: 11161 loss: 0.2825 loss_ctc: 0.2825 2023/01/05 20:04:39 - mmengine - INFO - Epoch(train) [2][2600/7904] lr: 4.1611e-04 eta: 18:11:04 time: 0.4299 data_time: 0.0017 memory: 11161 loss: 0.2642 loss_ctc: 0.2642 2023/01/05 20:05:22 - mmengine - INFO - Epoch(train) [2][2700/7904] lr: 4.1769e-04 eta: 18:09:59 time: 0.4236 data_time: 0.0018 memory: 11161 loss: 0.2717 loss_ctc: 0.2717 2023/01/05 20:06:05 - mmengine - INFO - Epoch(train) [2][2800/7904] lr: 4.1928e-04 eta: 18:09:05 time: 0.4459 data_time: 0.0017 memory: 11161 loss: 0.2711 loss_ctc: 0.2711 2023/01/05 20:06:49 - mmengine - INFO - Epoch(train) [2][2900/7904] lr: 4.2086e-04 eta: 18:08:13 time: 0.4662 data_time: 0.0017 memory: 11161 loss: 0.2640 loss_ctc: 0.2640 2023/01/05 20:07:31 - mmengine - INFO - Epoch(train) [2][3000/7904] lr: 4.2244e-04 eta: 18:06:59 time: 0.4386 data_time: 0.0017 memory: 11161 loss: 0.2631 loss_ctc: 0.2631 2023/01/05 20:08:13 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 20:08:15 - mmengine - INFO - Epoch(train) [2][3100/7904] lr: 4.2402e-04 eta: 18:06:02 time: 0.4373 data_time: 0.0018 memory: 11161 loss: 0.2711 loss_ctc: 0.2711 2023/01/05 20:08:56 - mmengine - INFO - Epoch(train) [2][3200/7904] lr: 4.2560e-04 eta: 18:04:37 time: 0.3921 data_time: 0.0017 memory: 11161 loss: 0.2766 loss_ctc: 0.2766 2023/01/05 20:09:38 - mmengine - INFO - Epoch(train) [2][3300/7904] lr: 4.2718e-04 eta: 18:03:18 time: 0.4319 data_time: 0.0018 memory: 11161 loss: 0.2681 loss_ctc: 0.2681 2023/01/05 20:10:22 - mmengine - INFO - Epoch(train) [2][3400/7904] lr: 4.2877e-04 eta: 18:02:33 time: 0.4529 data_time: 0.0017 memory: 11161 loss: 0.2726 loss_ctc: 0.2726 2023/01/05 20:11:08 - mmengine - INFO - Epoch(train) [2][3500/7904] lr: 4.3035e-04 eta: 18:02:08 time: 0.4361 data_time: 0.0018 memory: 11161 loss: 0.2558 loss_ctc: 0.2558 2023/01/05 20:11:52 - mmengine - INFO - Epoch(train) [2][3600/7904] lr: 4.3193e-04 eta: 18:01:21 time: 0.4420 data_time: 0.0018 memory: 11161 loss: 0.2725 loss_ctc: 0.2725 2023/01/05 20:12:37 - mmengine - INFO - Epoch(train) [2][3700/7904] lr: 4.3351e-04 eta: 18:00:55 time: 0.3978 data_time: 0.0019 memory: 11161 loss: 0.2758 loss_ctc: 0.2758 2023/01/05 20:13:20 - mmengine - INFO - Epoch(train) [2][3800/7904] lr: 4.3509e-04 eta: 17:59:57 time: 0.3900 data_time: 0.0017 memory: 11161 loss: 0.2621 loss_ctc: 0.2621 2023/01/05 20:14:05 - mmengine - INFO - Epoch(train) [2][3900/7904] lr: 4.3667e-04 eta: 17:59:14 time: 0.4026 data_time: 0.0018 memory: 11161 loss: 0.2673 loss_ctc: 0.2673 2023/01/05 20:14:49 - mmengine - INFO - Epoch(train) [2][4000/7904] lr: 4.3826e-04 eta: 17:58:33 time: 0.4851 data_time: 0.0017 memory: 11161 loss: 0.2833 loss_ctc: 0.2833 2023/01/05 20:15:32 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 20:15:34 - mmengine - INFO - Epoch(train) [2][4100/7904] lr: 4.3984e-04 eta: 17:57:52 time: 0.4607 data_time: 0.0017 memory: 11161 loss: 0.2483 loss_ctc: 0.2483 2023/01/05 20:16:19 - mmengine - INFO - Epoch(train) [2][4200/7904] lr: 4.4142e-04 eta: 17:57:20 time: 0.4594 data_time: 0.0017 memory: 11161 loss: 0.2725 loss_ctc: 0.2725 2023/01/05 20:17:04 - mmengine - INFO - Epoch(train) [2][4300/7904] lr: 4.4300e-04 eta: 17:56:38 time: 0.4802 data_time: 0.0017 memory: 11161 loss: 0.2848 loss_ctc: 0.2848 2023/01/05 20:17:48 - mmengine - INFO - Epoch(train) [2][4400/7904] lr: 4.4458e-04 eta: 17:55:58 time: 0.4305 data_time: 0.0017 memory: 11161 loss: 0.2512 loss_ctc: 0.2512 2023/01/05 20:18:33 - mmengine - INFO - Epoch(train) [2][4500/7904] lr: 4.4616e-04 eta: 17:55:14 time: 0.4480 data_time: 0.0017 memory: 11161 loss: 0.2767 loss_ctc: 0.2767 2023/01/05 20:19:18 - mmengine - INFO - Epoch(train) [2][4600/7904] lr: 4.4774e-04 eta: 17:54:37 time: 0.4735 data_time: 0.0018 memory: 11161 loss: 0.2868 loss_ctc: 0.2868 2023/01/05 20:20:03 - mmengine - INFO - Epoch(train) [2][4700/7904] lr: 4.4933e-04 eta: 17:54:01 time: 0.4239 data_time: 0.0017 memory: 11161 loss: 0.2814 loss_ctc: 0.2814 2023/01/05 20:20:46 - mmengine - INFO - Epoch(train) [2][4800/7904] lr: 4.5091e-04 eta: 17:53:01 time: 0.4587 data_time: 0.0017 memory: 11161 loss: 0.2734 loss_ctc: 0.2734 2023/01/05 20:21:29 - mmengine - INFO - Epoch(train) [2][4900/7904] lr: 4.5249e-04 eta: 17:52:10 time: 0.4662 data_time: 0.0017 memory: 11161 loss: 0.2753 loss_ctc: 0.2753 2023/01/05 20:22:13 - mmengine - INFO - Epoch(train) [2][5000/7904] lr: 4.5407e-04 eta: 17:51:20 time: 0.4045 data_time: 0.0036 memory: 11161 loss: 0.2606 loss_ctc: 0.2606 2023/01/05 20:22:54 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 20:22:56 - mmengine - INFO - Epoch(train) [2][5100/7904] lr: 4.5565e-04 eta: 17:50:18 time: 0.4132 data_time: 0.0017 memory: 11161 loss: 0.2670 loss_ctc: 0.2670 2023/01/05 20:23:38 - mmengine - INFO - Epoch(train) [2][5200/7904] lr: 4.5723e-04 eta: 17:49:12 time: 0.4119 data_time: 0.0017 memory: 11161 loss: 0.2685 loss_ctc: 0.2685 2023/01/05 20:24:21 - mmengine - INFO - Epoch(train) [2][5300/7904] lr: 4.5882e-04 eta: 17:48:14 time: 0.4340 data_time: 0.0017 memory: 11161 loss: 0.2678 loss_ctc: 0.2678 2023/01/05 20:25:04 - mmengine - INFO - Epoch(train) [2][5400/7904] lr: 4.6040e-04 eta: 17:47:14 time: 0.3925 data_time: 0.0019 memory: 11161 loss: 0.2628 loss_ctc: 0.2628 2023/01/05 20:25:49 - mmengine - INFO - Epoch(train) [2][5500/7904] lr: 4.6198e-04 eta: 17:46:35 time: 0.4081 data_time: 0.0017 memory: 11161 loss: 0.2453 loss_ctc: 0.2453 2023/01/05 20:26:31 - mmengine - INFO - Epoch(train) [2][5600/7904] lr: 4.6356e-04 eta: 17:45:31 time: 0.4072 data_time: 0.0017 memory: 11161 loss: 0.2545 loss_ctc: 0.2545 2023/01/05 20:27:14 - mmengine - INFO - Epoch(train) [2][5700/7904] lr: 4.6514e-04 eta: 17:44:38 time: 0.4830 data_time: 0.0017 memory: 11161 loss: 0.2582 loss_ctc: 0.2582 2023/01/05 20:27:59 - mmengine - INFO - Epoch(train) [2][5800/7904] lr: 4.6672e-04 eta: 17:44:00 time: 0.4571 data_time: 0.0018 memory: 11161 loss: 0.2429 loss_ctc: 0.2429 2023/01/05 20:28:43 - mmengine - INFO - Epoch(train) [2][5900/7904] lr: 4.6831e-04 eta: 17:43:11 time: 0.4113 data_time: 0.0019 memory: 11161 loss: 0.2762 loss_ctc: 0.2762 2023/01/05 20:29:28 - mmengine - INFO - Epoch(train) [2][6000/7904] lr: 4.6989e-04 eta: 17:42:40 time: 0.4643 data_time: 0.0017 memory: 11161 loss: 0.2732 loss_ctc: 0.2732 2023/01/05 20:30:09 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 20:30:12 - mmengine - INFO - Epoch(train) [2][6100/7904] lr: 4.7147e-04 eta: 17:41:45 time: 0.4578 data_time: 0.0018 memory: 11161 loss: 0.2692 loss_ctc: 0.2692 2023/01/05 20:30:55 - mmengine - INFO - Epoch(train) [2][6200/7904] lr: 4.7305e-04 eta: 17:40:48 time: 0.4462 data_time: 0.0017 memory: 11161 loss: 0.2780 loss_ctc: 0.2780 2023/01/05 20:31:37 - mmengine - INFO - Epoch(train) [2][6300/7904] lr: 4.7463e-04 eta: 17:39:46 time: 0.4638 data_time: 0.0017 memory: 11161 loss: 0.2577 loss_ctc: 0.2577 2023/01/05 20:32:19 - mmengine - INFO - Epoch(train) [2][6400/7904] lr: 4.7621e-04 eta: 17:38:37 time: 0.4039 data_time: 0.0017 memory: 11161 loss: 0.2659 loss_ctc: 0.2659 2023/01/05 20:33:01 - mmengine - INFO - Epoch(train) [2][6500/7904] lr: 4.7779e-04 eta: 17:37:34 time: 0.4359 data_time: 0.0017 memory: 11161 loss: 0.2609 loss_ctc: 0.2609 2023/01/05 20:33:43 - mmengine - INFO - Epoch(train) [2][6600/7904] lr: 4.7938e-04 eta: 17:36:24 time: 0.4258 data_time: 0.0017 memory: 11161 loss: 0.2238 loss_ctc: 0.2238 2023/01/05 20:34:26 - mmengine - INFO - Epoch(train) [2][6700/7904] lr: 4.8096e-04 eta: 17:35:29 time: 0.3887 data_time: 0.0017 memory: 11161 loss: 0.2266 loss_ctc: 0.2266 2023/01/05 20:35:10 - mmengine - INFO - Epoch(train) [2][6800/7904] lr: 4.8254e-04 eta: 17:34:50 time: 0.4324 data_time: 0.0018 memory: 11161 loss: 0.2531 loss_ctc: 0.2531 2023/01/05 20:35:55 - mmengine - INFO - Epoch(train) [2][6900/7904] lr: 4.8412e-04 eta: 17:34:07 time: 0.4620 data_time: 0.0018 memory: 11161 loss: 0.2514 loss_ctc: 0.2514 2023/01/05 20:36:37 - mmengine - INFO - Epoch(train) [2][7000/7904] lr: 4.8570e-04 eta: 17:33:10 time: 0.4292 data_time: 0.0017 memory: 11161 loss: 0.2492 loss_ctc: 0.2492 2023/01/05 20:37:19 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 20:37:21 - mmengine - INFO - Epoch(train) [2][7100/7904] lr: 4.8728e-04 eta: 17:32:16 time: 0.4403 data_time: 0.0017 memory: 11161 loss: 0.2318 loss_ctc: 0.2318 2023/01/05 20:38:03 - mmengine - INFO - Epoch(train) [2][7200/7904] lr: 4.8887e-04 eta: 17:31:15 time: 0.4035 data_time: 0.0019 memory: 11161 loss: 0.2544 loss_ctc: 0.2544 2023/01/05 20:38:45 - mmengine - INFO - Epoch(train) [2][7300/7904] lr: 4.9045e-04 eta: 17:30:14 time: 0.4113 data_time: 0.0017 memory: 11161 loss: 0.2502 loss_ctc: 0.2502 2023/01/05 20:39:27 - mmengine - INFO - Epoch(train) [2][7400/7904] lr: 4.9203e-04 eta: 17:29:10 time: 0.4579 data_time: 0.0017 memory: 11161 loss: 0.2468 loss_ctc: 0.2468 2023/01/05 20:40:08 - mmengine - INFO - Epoch(train) [2][7500/7904] lr: 4.9361e-04 eta: 17:27:58 time: 0.4483 data_time: 0.0017 memory: 11161 loss: 0.2464 loss_ctc: 0.2464 2023/01/05 20:40:50 - mmengine - INFO - Epoch(train) [2][7600/7904] lr: 4.9519e-04 eta: 17:26:48 time: 0.4425 data_time: 0.0017 memory: 11161 loss: 0.2636 loss_ctc: 0.2636 2023/01/05 20:41:34 - mmengine - INFO - Epoch(train) [2][7700/7904] lr: 4.9677e-04 eta: 17:26:05 time: 0.4611 data_time: 0.0017 memory: 11161 loss: 0.2449 loss_ctc: 0.2449 2023/01/05 20:42:19 - mmengine - INFO - Epoch(train) [2][7800/7904] lr: 4.9836e-04 eta: 17:25:30 time: 0.4520 data_time: 0.0017 memory: 11161 loss: 0.2276 loss_ctc: 0.2276 2023/01/05 20:42:57 - mmengine - INFO - Epoch(train) [2][7900/7904] lr: 4.9994e-04 eta: 17:23:55 time: 0.3249 data_time: 0.0015 memory: 11161 loss: 0.2441 loss_ctc: 0.2441 2023/01/05 20:42:58 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 20:42:58 - mmengine - INFO - Saving checkpoint at 2 epochs 2023/01/05 20:43:00 - mmengine - INFO - Epoch(val) [2][15/15] CUTE80/recog/word_acc: 0.1562 CUTE80/recog/word_acc_ignore_case: 0.8021 CUTE80/recog/word_acc_ignore_case_symbol: 0.8021 IIIT5K/recog/word_acc: 0.0633 IIIT5K/recog/word_acc_ignore_case: 0.8307 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8307 SVT/recog/word_acc: 0.8702 SVT/recog/word_acc_ignore_case: 0.8702 SVT/recog/word_acc_ignore_case_symbol: 0.8702 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.7581 SVTP/recog/word_acc_ignore_case_symbol: 0.7581 IC13/recog/word_acc: 0.2828 IC13/recog/word_acc_ignore_case: 0.9054 IC13/recog/word_acc_ignore_case_symbol: 0.9054 IC15/recog/word_acc: 0.1078 IC15/recog/word_acc_ignore_case: 0.6731 IC15/recog/word_acc_ignore_case_symbol: 0.6818 CUTE80/recog/char_recall: 0.9065 CUTE80/recog/char_precision: 0.9233 IIIT5K/recog/char_recall: 0.9715 IIIT5K/recog/char_precision: 0.9032 SVT/recog/char_recall: 0.9665 SVT/recog/char_precision: 0.9630 SVTP/recog/char_recall: 0.9063 SVTP/recog/char_precision: 0.9326 IC13/recog/char_recall: 0.9790 IC13/recog/char_precision: 0.9692 IC15/recog/char_recall: 0.9025 IC15/recog/char_precision: 0.8838 2023/01/05 20:43:58 - mmengine - INFO - Epoch(train) [3][ 100/7904] lr: 5.0000e-04 eta: 17:25:02 time: 0.4267 data_time: 0.0016 memory: 11161 loss: 0.2427 loss_ctc: 0.2427 2023/01/05 20:44:38 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 20:44:42 - mmengine - INFO - Epoch(train) [3][ 200/7904] lr: 5.0000e-04 eta: 17:24:18 time: 0.4421 data_time: 0.0017 memory: 11161 loss: 0.2258 loss_ctc: 0.2258 2023/01/05 20:45:26 - mmengine - INFO - Epoch(train) [3][ 300/7904] lr: 5.0000e-04 eta: 17:23:31 time: 0.4291 data_time: 0.0018 memory: 11161 loss: 0.2428 loss_ctc: 0.2428 2023/01/05 20:46:09 - mmengine - INFO - Epoch(train) [3][ 400/7904] lr: 4.9999e-04 eta: 17:22:42 time: 0.4887 data_time: 0.0018 memory: 11161 loss: 0.2219 loss_ctc: 0.2219 2023/01/05 20:46:54 - mmengine - INFO - Epoch(train) [3][ 500/7904] lr: 4.9999e-04 eta: 17:22:04 time: 0.4615 data_time: 0.0017 memory: 11161 loss: 0.2419 loss_ctc: 0.2419 2023/01/05 20:47:38 - mmengine - INFO - Epoch(train) [3][ 600/7904] lr: 4.9998e-04 eta: 17:21:23 time: 0.4454 data_time: 0.0018 memory: 11161 loss: 0.2610 loss_ctc: 0.2610 2023/01/05 20:48:22 - mmengine - INFO - Epoch(train) [3][ 700/7904] lr: 4.9997e-04 eta: 17:20:36 time: 0.4150 data_time: 0.0018 memory: 11161 loss: 0.2406 loss_ctc: 0.2406 2023/01/05 20:49:07 - mmengine - INFO - Epoch(train) [3][ 800/7904] lr: 4.9997e-04 eta: 17:19:55 time: 0.4414 data_time: 0.0018 memory: 11161 loss: 0.2539 loss_ctc: 0.2539 2023/01/05 20:49:52 - mmengine - INFO - Epoch(train) [3][ 900/7904] lr: 4.9996e-04 eta: 17:19:20 time: 0.4385 data_time: 0.0017 memory: 11161 loss: 0.2568 loss_ctc: 0.2568 2023/01/05 20:50:36 - mmengine - INFO - Epoch(train) [3][1000/7904] lr: 4.9995e-04 eta: 17:18:38 time: 0.4183 data_time: 0.0018 memory: 11161 loss: 0.2417 loss_ctc: 0.2417 2023/01/05 20:51:21 - mmengine - INFO - Epoch(train) [3][1100/7904] lr: 4.9993e-04 eta: 17:17:58 time: 0.4136 data_time: 0.0018 memory: 11161 loss: 0.2522 loss_ctc: 0.2522 2023/01/05 20:52:01 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 20:52:05 - mmengine - INFO - Epoch(train) [3][1200/7904] lr: 4.9992e-04 eta: 17:17:11 time: 0.4524 data_time: 0.0018 memory: 11161 loss: 0.2151 loss_ctc: 0.2151 2023/01/05 20:52:48 - mmengine - INFO - Epoch(train) [3][1300/7904] lr: 4.9991e-04 eta: 17:16:23 time: 0.4082 data_time: 0.0018 memory: 11161 loss: 0.2320 loss_ctc: 0.2320 2023/01/05 20:53:31 - mmengine - INFO - Epoch(train) [3][1400/7904] lr: 4.9989e-04 eta: 17:15:29 time: 0.4157 data_time: 0.0017 memory: 11161 loss: 0.2265 loss_ctc: 0.2265 2023/01/05 20:54:16 - mmengine - INFO - Epoch(train) [3][1500/7904] lr: 4.9988e-04 eta: 17:14:54 time: 0.4748 data_time: 0.0018 memory: 11161 loss: 0.2206 loss_ctc: 0.2206 2023/01/05 20:55:01 - mmengine - INFO - Epoch(train) [3][1600/7904] lr: 4.9986e-04 eta: 17:14:10 time: 0.4682 data_time: 0.0018 memory: 11161 loss: 0.2415 loss_ctc: 0.2415 2023/01/05 20:55:44 - mmengine - INFO - Epoch(train) [3][1700/7904] lr: 4.9984e-04 eta: 17:13:21 time: 0.4172 data_time: 0.0019 memory: 11161 loss: 0.2309 loss_ctc: 0.2309 2023/01/05 20:56:28 - mmengine - INFO - Epoch(train) [3][1800/7904] lr: 4.9982e-04 eta: 17:12:36 time: 0.4460 data_time: 0.0017 memory: 11161 loss: 0.2345 loss_ctc: 0.2345 2023/01/05 20:57:12 - mmengine - INFO - Epoch(train) [3][1900/7904] lr: 4.9980e-04 eta: 17:11:50 time: 0.3947 data_time: 0.0018 memory: 11161 loss: 0.2243 loss_ctc: 0.2243 2023/01/05 20:57:56 - mmengine - INFO - Epoch(train) [3][2000/7904] lr: 4.9978e-04 eta: 17:11:05 time: 0.4576 data_time: 0.0018 memory: 11161 loss: 0.2356 loss_ctc: 0.2356 2023/01/05 20:58:41 - mmengine - INFO - Epoch(train) [3][2100/7904] lr: 4.9976e-04 eta: 17:10:31 time: 0.4439 data_time: 0.0017 memory: 11161 loss: 0.2329 loss_ctc: 0.2329 2023/01/05 20:59:22 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 20:59:25 - mmengine - INFO - Epoch(train) [3][2200/7904] lr: 4.9974e-04 eta: 17:09:44 time: 0.4092 data_time: 0.0018 memory: 11161 loss: 0.2304 loss_ctc: 0.2304 2023/01/05 21:00:09 - mmengine - INFO - Epoch(train) [3][2300/7904] lr: 4.9971e-04 eta: 17:09:02 time: 0.4838 data_time: 0.0018 memory: 11161 loss: 0.2231 loss_ctc: 0.2231 2023/01/05 21:00:54 - mmengine - INFO - Epoch(train) [3][2400/7904] lr: 4.9969e-04 eta: 17:08:18 time: 0.4383 data_time: 0.0019 memory: 11161 loss: 0.2365 loss_ctc: 0.2365 2023/01/05 21:01:38 - mmengine - INFO - Epoch(train) [3][2500/7904] lr: 4.9966e-04 eta: 17:07:37 time: 0.4265 data_time: 0.0017 memory: 11161 loss: 0.2123 loss_ctc: 0.2123 2023/01/05 21:02:22 - mmengine - INFO - Epoch(train) [3][2600/7904] lr: 4.9963e-04 eta: 17:06:49 time: 0.4327 data_time: 0.0018 memory: 11161 loss: 0.2406 loss_ctc: 0.2406 2023/01/05 21:03:06 - mmengine - INFO - Epoch(train) [3][2700/7904] lr: 4.9960e-04 eta: 17:06:07 time: 0.4386 data_time: 0.0018 memory: 11161 loss: 0.2346 loss_ctc: 0.2346 2023/01/05 21:03:51 - mmengine - INFO - Epoch(train) [3][2800/7904] lr: 4.9957e-04 eta: 17:05:27 time: 0.4733 data_time: 0.0018 memory: 11161 loss: 0.2403 loss_ctc: 0.2403 2023/01/05 21:04:33 - mmengine - INFO - Epoch(train) [3][2900/7904] lr: 4.9954e-04 eta: 17:04:25 time: 0.4193 data_time: 0.0019 memory: 11161 loss: 0.2064 loss_ctc: 0.2064 2023/01/05 21:05:18 - mmengine - INFO - Epoch(train) [3][3000/7904] lr: 4.9951e-04 eta: 17:03:49 time: 0.4618 data_time: 0.0018 memory: 11161 loss: 0.2230 loss_ctc: 0.2230 2023/01/05 21:06:02 - mmengine - INFO - Epoch(train) [3][3100/7904] lr: 4.9947e-04 eta: 17:03:07 time: 0.4813 data_time: 0.0019 memory: 11161 loss: 0.2256 loss_ctc: 0.2256 2023/01/05 21:06:41 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 21:06:44 - mmengine - INFO - Epoch(train) [3][3200/7904] lr: 4.9944e-04 eta: 17:02:10 time: 0.4206 data_time: 0.0018 memory: 11161 loss: 0.2257 loss_ctc: 0.2257 2023/01/05 21:07:28 - mmengine - INFO - Epoch(train) [3][3300/7904] lr: 4.9940e-04 eta: 17:01:20 time: 0.4223 data_time: 0.0017 memory: 11161 loss: 0.2318 loss_ctc: 0.2318 2023/01/05 21:08:11 - mmengine - INFO - Epoch(train) [3][3400/7904] lr: 4.9937e-04 eta: 17:00:29 time: 0.4426 data_time: 0.0019 memory: 11161 loss: 0.2497 loss_ctc: 0.2497 2023/01/05 21:08:55 - mmengine - INFO - Epoch(train) [3][3500/7904] lr: 4.9933e-04 eta: 16:59:42 time: 0.4711 data_time: 0.0018 memory: 11161 loss: 0.2322 loss_ctc: 0.2322 2023/01/05 21:09:39 - mmengine - INFO - Epoch(train) [3][3600/7904] lr: 4.9929e-04 eta: 16:58:57 time: 0.4544 data_time: 0.0018 memory: 11161 loss: 0.2315 loss_ctc: 0.2315 2023/01/05 21:10:22 - mmengine - INFO - Epoch(train) [3][3700/7904] lr: 4.9925e-04 eta: 16:58:04 time: 0.4361 data_time: 0.0018 memory: 11161 loss: 0.2153 loss_ctc: 0.2153 2023/01/05 21:11:05 - mmengine - INFO - Epoch(train) [3][3800/7904] lr: 4.9921e-04 eta: 16:57:17 time: 0.4381 data_time: 0.0018 memory: 11161 loss: 0.2165 loss_ctc: 0.2165 2023/01/05 21:11:48 - mmengine - INFO - Epoch(train) [3][3900/7904] lr: 4.9917e-04 eta: 16:56:24 time: 0.4598 data_time: 0.0018 memory: 11161 loss: 0.2284 loss_ctc: 0.2284 2023/01/05 21:12:33 - mmengine - INFO - Epoch(train) [3][4000/7904] lr: 4.9913e-04 eta: 16:55:44 time: 0.4242 data_time: 0.0019 memory: 11161 loss: 0.2253 loss_ctc: 0.2253 2023/01/05 21:13:16 - mmengine - INFO - Epoch(train) [3][4100/7904] lr: 4.9908e-04 eta: 16:54:57 time: 0.4899 data_time: 0.0017 memory: 11161 loss: 0.2291 loss_ctc: 0.2291 2023/01/05 21:13:57 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 21:14:00 - mmengine - INFO - Epoch(train) [3][4200/7904] lr: 4.9904e-04 eta: 16:54:10 time: 0.4394 data_time: 0.0018 memory: 11161 loss: 0.2301 loss_ctc: 0.2301 2023/01/05 21:14:45 - mmengine - INFO - Epoch(train) [3][4300/7904] lr: 4.9899e-04 eta: 16:53:30 time: 0.4716 data_time: 0.0018 memory: 11161 loss: 0.2213 loss_ctc: 0.2213 2023/01/05 21:15:30 - mmengine - INFO - Epoch(train) [3][4400/7904] lr: 4.9894e-04 eta: 16:52:53 time: 0.4499 data_time: 0.0018 memory: 11161 loss: 0.2143 loss_ctc: 0.2143 2023/01/05 21:16:15 - mmengine - INFO - Epoch(train) [3][4500/7904] lr: 4.9889e-04 eta: 16:52:18 time: 0.4499 data_time: 0.0017 memory: 11161 loss: 0.2181 loss_ctc: 0.2181 2023/01/05 21:17:00 - mmengine - INFO - Epoch(train) [3][4600/7904] lr: 4.9884e-04 eta: 16:51:37 time: 0.4256 data_time: 0.0017 memory: 11161 loss: 0.2341 loss_ctc: 0.2341 2023/01/05 21:17:42 - mmengine - INFO - Epoch(train) [3][4700/7904] lr: 4.9879e-04 eta: 16:50:41 time: 0.4099 data_time: 0.0018 memory: 11161 loss: 0.2392 loss_ctc: 0.2392 2023/01/05 21:18:26 - mmengine - INFO - Epoch(train) [3][4800/7904] lr: 4.9874e-04 eta: 16:49:57 time: 0.4169 data_time: 0.0018 memory: 11161 loss: 0.2209 loss_ctc: 0.2209 2023/01/05 21:19:11 - mmengine - INFO - Epoch(train) [3][4900/7904] lr: 4.9869e-04 eta: 16:49:20 time: 0.4536 data_time: 0.0018 memory: 11161 loss: 0.2167 loss_ctc: 0.2167 2023/01/05 21:19:56 - mmengine - INFO - Epoch(train) [3][5000/7904] lr: 4.9863e-04 eta: 16:48:38 time: 0.4440 data_time: 0.0018 memory: 11161 loss: 0.2161 loss_ctc: 0.2161 2023/01/05 21:20:41 - mmengine - INFO - Epoch(train) [3][5100/7904] lr: 4.9858e-04 eta: 16:47:59 time: 0.4792 data_time: 0.0019 memory: 11161 loss: 0.2320 loss_ctc: 0.2320 2023/01/05 21:21:22 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 21:21:26 - mmengine - INFO - Epoch(train) [3][5200/7904] lr: 4.9852e-04 eta: 16:47:24 time: 0.4526 data_time: 0.0018 memory: 11161 loss: 0.2148 loss_ctc: 0.2148 2023/01/05 21:22:08 - mmengine - INFO - Epoch(train) [3][5300/7904] lr: 4.9847e-04 eta: 16:46:27 time: 0.4072 data_time: 0.0018 memory: 11161 loss: 0.2230 loss_ctc: 0.2230 2023/01/05 21:22:50 - mmengine - INFO - Epoch(train) [3][5400/7904] lr: 4.9841e-04 eta: 16:45:31 time: 0.4641 data_time: 0.0017 memory: 11161 loss: 0.2078 loss_ctc: 0.2078 2023/01/05 21:23:34 - mmengine - INFO - Epoch(train) [3][5500/7904] lr: 4.9835e-04 eta: 16:44:45 time: 0.4414 data_time: 0.0018 memory: 11161 loss: 0.2152 loss_ctc: 0.2152 2023/01/05 21:24:20 - mmengine - INFO - Epoch(train) [3][5600/7904] lr: 4.9829e-04 eta: 16:44:09 time: 0.4461 data_time: 0.0018 memory: 11161 loss: 0.2206 loss_ctc: 0.2206 2023/01/05 21:25:04 - mmengine - INFO - Epoch(train) [3][5700/7904] lr: 4.9823e-04 eta: 16:43:25 time: 0.4374 data_time: 0.0018 memory: 11161 loss: 0.2164 loss_ctc: 0.2164 2023/01/05 21:25:49 - mmengine - INFO - Epoch(train) [3][5800/7904] lr: 4.9816e-04 eta: 16:42:46 time: 0.4366 data_time: 0.0019 memory: 11161 loss: 0.2237 loss_ctc: 0.2237 2023/01/05 21:26:33 - mmengine - INFO - Epoch(train) [3][5900/7904] lr: 4.9810e-04 eta: 16:42:02 time: 0.4303 data_time: 0.0018 memory: 11161 loss: 0.2208 loss_ctc: 0.2208 2023/01/05 21:27:16 - mmengine - INFO - Epoch(train) [3][6000/7904] lr: 4.9803e-04 eta: 16:41:11 time: 0.3896 data_time: 0.0018 memory: 11161 loss: 0.2085 loss_ctc: 0.2085 2023/01/05 21:27:58 - mmengine - INFO - Epoch(train) [3][6100/7904] lr: 4.9797e-04 eta: 16:40:18 time: 0.4295 data_time: 0.0018 memory: 11161 loss: 0.2198 loss_ctc: 0.2198 2023/01/05 21:28:38 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 21:28:42 - mmengine - INFO - Epoch(train) [3][6200/7904] lr: 4.9790e-04 eta: 16:39:30 time: 0.3995 data_time: 0.0019 memory: 11161 loss: 0.2058 loss_ctc: 0.2058 2023/01/05 21:29:23 - mmengine - INFO - Epoch(train) [3][6300/7904] lr: 4.9783e-04 eta: 16:38:29 time: 0.4009 data_time: 0.0019 memory: 11161 loss: 0.2127 loss_ctc: 0.2127 2023/01/05 21:30:05 - mmengine - INFO - Epoch(train) [3][6400/7904] lr: 4.9776e-04 eta: 16:37:31 time: 0.4027 data_time: 0.0018 memory: 11161 loss: 0.2089 loss_ctc: 0.2089 2023/01/05 21:30:47 - mmengine - INFO - Epoch(train) [3][6500/7904] lr: 4.9769e-04 eta: 16:36:32 time: 0.3982 data_time: 0.0018 memory: 11161 loss: 0.1900 loss_ctc: 0.1900 2023/01/05 21:31:27 - mmengine - INFO - Epoch(train) [3][6600/7904] lr: 4.9762e-04 eta: 16:35:25 time: 0.4166 data_time: 0.0018 memory: 11161 loss: 0.2420 loss_ctc: 0.2420 2023/01/05 21:32:11 - mmengine - INFO - Epoch(train) [3][6700/7904] lr: 4.9755e-04 eta: 16:34:42 time: 0.4593 data_time: 0.0018 memory: 11161 loss: 0.1954 loss_ctc: 0.1954 2023/01/05 21:32:55 - mmengine - INFO - Epoch(train) [3][6800/7904] lr: 4.9748e-04 eta: 16:34:01 time: 0.4337 data_time: 0.0018 memory: 11161 loss: 0.2125 loss_ctc: 0.2125 2023/01/05 21:33:40 - mmengine - INFO - Epoch(train) [3][6900/7904] lr: 4.9740e-04 eta: 16:33:20 time: 0.4365 data_time: 0.0018 memory: 11161 loss: 0.2173 loss_ctc: 0.2173 2023/01/05 21:34:23 - mmengine - INFO - Epoch(train) [3][7000/7904] lr: 4.9733e-04 eta: 16:32:27 time: 0.4371 data_time: 0.0018 memory: 11161 loss: 0.2203 loss_ctc: 0.2203 2023/01/05 21:35:06 - mmengine - INFO - Epoch(train) [3][7100/7904] lr: 4.9725e-04 eta: 16:31:41 time: 0.4701 data_time: 0.0018 memory: 11161 loss: 0.1890 loss_ctc: 0.1890 2023/01/05 21:35:47 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 21:35:50 - mmengine - INFO - Epoch(train) [3][7200/7904] lr: 4.9717e-04 eta: 16:30:56 time: 0.4160 data_time: 0.0019 memory: 11161 loss: 0.2118 loss_ctc: 0.2118 2023/01/05 21:36:35 - mmengine - INFO - Epoch(train) [3][7300/7904] lr: 4.9709e-04 eta: 16:30:19 time: 0.4855 data_time: 0.0018 memory: 11161 loss: 0.1941 loss_ctc: 0.1941 2023/01/05 21:37:18 - mmengine - INFO - Epoch(train) [3][7400/7904] lr: 4.9701e-04 eta: 16:29:28 time: 0.4056 data_time: 0.0017 memory: 11161 loss: 0.1914 loss_ctc: 0.1914 2023/01/05 21:38:02 - mmengine - INFO - Epoch(train) [3][7500/7904] lr: 4.9693e-04 eta: 16:28:45 time: 0.4365 data_time: 0.0019 memory: 11161 loss: 0.2082 loss_ctc: 0.2082 2023/01/05 21:38:46 - mmengine - INFO - Epoch(train) [3][7600/7904] lr: 4.9685e-04 eta: 16:27:58 time: 0.4445 data_time: 0.0022 memory: 11161 loss: 0.2063 loss_ctc: 0.2063 2023/01/05 21:39:30 - mmengine - INFO - Epoch(train) [3][7700/7904] lr: 4.9676e-04 eta: 16:27:14 time: 0.4031 data_time: 0.0018 memory: 11161 loss: 0.2126 loss_ctc: 0.2126 2023/01/05 21:40:12 - mmengine - INFO - Epoch(train) [3][7800/7904] lr: 4.9668e-04 eta: 16:26:20 time: 0.4227 data_time: 0.0018 memory: 11161 loss: 0.2136 loss_ctc: 0.2136 2023/01/05 21:40:50 - mmengine - INFO - Epoch(train) [3][7900/7904] lr: 4.9659e-04 eta: 16:24:59 time: 0.3156 data_time: 0.0012 memory: 11161 loss: 0.2118 loss_ctc: 0.2118 2023/01/05 21:40:51 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 21:40:51 - mmengine - INFO - Saving checkpoint at 3 epochs 2023/01/05 21:40:53 - mmengine - INFO - Epoch(val) [3][15/15] CUTE80/recog/word_acc: 0.1562 CUTE80/recog/word_acc_ignore_case: 0.8299 CUTE80/recog/word_acc_ignore_case_symbol: 0.8299 IIIT5K/recog/word_acc: 0.0630 IIIT5K/recog/word_acc_ignore_case: 0.8357 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8357 SVT/recog/word_acc: 0.8624 SVT/recog/word_acc_ignore_case: 0.8624 SVT/recog/word_acc_ignore_case_symbol: 0.8624 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.7829 SVTP/recog/word_acc_ignore_case_symbol: 0.7829 IC13/recog/word_acc: 0.2818 IC13/recog/word_acc_ignore_case: 0.9123 IC13/recog/word_acc_ignore_case_symbol: 0.9123 IC15/recog/word_acc: 0.1112 IC15/recog/word_acc_ignore_case: 0.6928 IC15/recog/word_acc_ignore_case_symbol: 0.7010 CUTE80/recog/char_recall: 0.9128 CUTE80/recog/char_precision: 0.9375 IIIT5K/recog/char_recall: 0.9757 IIIT5K/recog/char_precision: 0.9075 SVT/recog/char_recall: 0.9676 SVT/recog/char_precision: 0.9610 SVTP/recog/char_recall: 0.9187 SVTP/recog/char_precision: 0.9446 IC13/recog/char_recall: 0.9787 IC13/recog/char_precision: 0.9718 IC15/recog/char_recall: 0.9057 IC15/recog/char_precision: 0.8969 2023/01/05 21:41:51 - mmengine - INFO - Epoch(train) [4][ 100/7904] lr: 4.9650e-04 eta: 16:25:26 time: 0.4668 data_time: 0.0017 memory: 11161 loss: 0.2010 loss_ctc: 0.2010 2023/01/05 21:42:32 - mmengine - INFO - Epoch(train) [4][ 200/7904] lr: 4.9642e-04 eta: 16:24:27 time: 0.3994 data_time: 0.0017 memory: 11161 loss: 0.1905 loss_ctc: 0.1905 2023/01/05 21:43:11 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 21:43:16 - mmengine - INFO - Epoch(train) [4][ 300/7904] lr: 4.9633e-04 eta: 16:23:42 time: 0.4120 data_time: 0.0017 memory: 11161 loss: 0.2050 loss_ctc: 0.2050 2023/01/05 21:44:00 - mmengine - INFO - Epoch(train) [4][ 400/7904] lr: 4.9624e-04 eta: 16:22:57 time: 0.4074 data_time: 0.0018 memory: 11161 loss: 0.2109 loss_ctc: 0.2109 2023/01/05 21:44:45 - mmengine - INFO - Epoch(train) [4][ 500/7904] lr: 4.9615e-04 eta: 16:22:20 time: 0.4605 data_time: 0.0017 memory: 11161 loss: 0.2043 loss_ctc: 0.2043 2023/01/05 21:45:29 - mmengine - INFO - Epoch(train) [4][ 600/7904] lr: 4.9606e-04 eta: 16:21:36 time: 0.4358 data_time: 0.0018 memory: 11161 loss: 0.2159 loss_ctc: 0.2159 2023/01/05 21:46:12 - mmengine - INFO - Epoch(train) [4][ 700/7904] lr: 4.9596e-04 eta: 16:20:44 time: 0.4466 data_time: 0.0018 memory: 11161 loss: 0.1839 loss_ctc: 0.1839 2023/01/05 21:46:54 - mmengine - INFO - Epoch(train) [4][ 800/7904] lr: 4.9587e-04 eta: 16:19:54 time: 0.3888 data_time: 0.0018 memory: 11161 loss: 0.1887 loss_ctc: 0.1887 2023/01/05 21:47:38 - mmengine - INFO - Epoch(train) [4][ 900/7904] lr: 4.9577e-04 eta: 16:19:07 time: 0.4929 data_time: 0.0018 memory: 11161 loss: 0.1927 loss_ctc: 0.1927 2023/01/05 21:48:20 - mmengine - INFO - Epoch(train) [4][1000/7904] lr: 4.9568e-04 eta: 16:18:14 time: 0.4336 data_time: 0.0020 memory: 11161 loss: 0.2063 loss_ctc: 0.2063 2023/01/05 21:49:04 - mmengine - INFO - Epoch(train) [4][1100/7904] lr: 4.9558e-04 eta: 16:17:27 time: 0.4347 data_time: 0.0018 memory: 11161 loss: 0.2038 loss_ctc: 0.2038 2023/01/05 21:49:47 - mmengine - INFO - Epoch(train) [4][1200/7904] lr: 4.9548e-04 eta: 16:16:39 time: 0.4287 data_time: 0.0019 memory: 11161 loss: 0.2058 loss_ctc: 0.2058 2023/01/05 21:50:26 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 21:50:31 - mmengine - INFO - Epoch(train) [4][1300/7904] lr: 4.9538e-04 eta: 16:15:54 time: 0.4358 data_time: 0.0018 memory: 11161 loss: 0.2022 loss_ctc: 0.2022 2023/01/05 21:51:14 - mmengine - INFO - Epoch(train) [4][1400/7904] lr: 4.9528e-04 eta: 16:15:08 time: 0.4227 data_time: 0.0018 memory: 11161 loss: 0.2129 loss_ctc: 0.2129 2023/01/05 21:51:56 - mmengine - INFO - Epoch(train) [4][1500/7904] lr: 4.9518e-04 eta: 16:14:13 time: 0.4151 data_time: 0.0018 memory: 11161 loss: 0.2058 loss_ctc: 0.2058 2023/01/05 21:52:39 - mmengine - INFO - Epoch(train) [4][1600/7904] lr: 4.9508e-04 eta: 16:13:24 time: 0.4114 data_time: 0.0017 memory: 11161 loss: 0.2134 loss_ctc: 0.2134 2023/01/05 21:53:23 - mmengine - INFO - Epoch(train) [4][1700/7904] lr: 4.9497e-04 eta: 16:12:37 time: 0.4345 data_time: 0.0023 memory: 11161 loss: 0.2047 loss_ctc: 0.2047 2023/01/05 21:54:09 - mmengine - INFO - Epoch(train) [4][1800/7904] lr: 4.9487e-04 eta: 16:12:03 time: 0.4277 data_time: 0.0020 memory: 11161 loss: 0.2033 loss_ctc: 0.2033 2023/01/05 21:54:54 - mmengine - INFO - Epoch(train) [4][1900/7904] lr: 4.9476e-04 eta: 16:11:26 time: 0.4470 data_time: 0.0018 memory: 11161 loss: 0.2187 loss_ctc: 0.2187 2023/01/05 21:55:39 - mmengine - INFO - Epoch(train) [4][2000/7904] lr: 4.9465e-04 eta: 16:10:44 time: 0.4661 data_time: 0.0017 memory: 11161 loss: 0.1862 loss_ctc: 0.1862 2023/01/05 21:56:23 - mmengine - INFO - Epoch(train) [4][2100/7904] lr: 4.9455e-04 eta: 16:10:03 time: 0.4623 data_time: 0.0018 memory: 11161 loss: 0.1981 loss_ctc: 0.1981 2023/01/05 21:57:07 - mmengine - INFO - Epoch(train) [4][2200/7904] lr: 4.9444e-04 eta: 16:09:19 time: 0.4676 data_time: 0.0019 memory: 11161 loss: 0.1992 loss_ctc: 0.1992 2023/01/05 21:57:45 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 21:57:50 - mmengine - INFO - Epoch(train) [4][2300/7904] lr: 4.9433e-04 eta: 16:08:28 time: 0.4453 data_time: 0.0019 memory: 11161 loss: 0.2331 loss_ctc: 0.2331 2023/01/05 21:58:32 - mmengine - INFO - Epoch(train) [4][2400/7904] lr: 4.9422e-04 eta: 16:07:37 time: 0.4860 data_time: 0.0019 memory: 11161 loss: 0.2197 loss_ctc: 0.2197 2023/01/05 21:59:15 - mmengine - INFO - Epoch(train) [4][2500/7904] lr: 4.9410e-04 eta: 16:06:48 time: 0.4149 data_time: 0.0018 memory: 11161 loss: 0.2080 loss_ctc: 0.2080 2023/01/05 21:59:59 - mmengine - INFO - Epoch(train) [4][2600/7904] lr: 4.9399e-04 eta: 16:06:01 time: 0.4370 data_time: 0.0018 memory: 11161 loss: 0.2093 loss_ctc: 0.2093 2023/01/05 22:00:42 - mmengine - INFO - Epoch(train) [4][2700/7904] lr: 4.9388e-04 eta: 16:05:13 time: 0.4294 data_time: 0.0018 memory: 11161 loss: 0.2016 loss_ctc: 0.2016 2023/01/05 22:01:26 - mmengine - INFO - Epoch(train) [4][2800/7904] lr: 4.9376e-04 eta: 16:04:29 time: 0.3792 data_time: 0.0018 memory: 11161 loss: 0.1986 loss_ctc: 0.1986 2023/01/05 22:02:09 - mmengine - INFO - Epoch(train) [4][2900/7904] lr: 4.9364e-04 eta: 16:03:41 time: 0.4017 data_time: 0.0018 memory: 11161 loss: 0.2040 loss_ctc: 0.2040 2023/01/05 22:02:52 - mmengine - INFO - Epoch(train) [4][3000/7904] lr: 4.9353e-04 eta: 16:02:53 time: 0.4729 data_time: 0.0018 memory: 11161 loss: 0.1935 loss_ctc: 0.1935 2023/01/05 22:03:37 - mmengine - INFO - Epoch(train) [4][3100/7904] lr: 4.9341e-04 eta: 16:02:11 time: 0.4161 data_time: 0.0018 memory: 11161 loss: 0.2090 loss_ctc: 0.2090 2023/01/05 22:04:21 - mmengine - INFO - Epoch(train) [4][3200/7904] lr: 4.9329e-04 eta: 16:01:26 time: 0.4132 data_time: 0.0018 memory: 11161 loss: 0.2056 loss_ctc: 0.2056 2023/01/05 22:04:59 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 22:05:04 - mmengine - INFO - Epoch(train) [4][3300/7904] lr: 4.9317e-04 eta: 16:00:39 time: 0.4449 data_time: 0.0018 memory: 11161 loss: 0.1927 loss_ctc: 0.1927 2023/01/05 22:05:50 - mmengine - INFO - Epoch(train) [4][3400/7904] lr: 4.9304e-04 eta: 16:00:03 time: 0.4320 data_time: 0.0020 memory: 11161 loss: 0.2014 loss_ctc: 0.2014 2023/01/05 22:06:33 - mmengine - INFO - Epoch(train) [4][3500/7904] lr: 4.9292e-04 eta: 15:59:17 time: 0.4851 data_time: 0.0017 memory: 11161 loss: 0.1824 loss_ctc: 0.1824 2023/01/05 22:07:19 - mmengine - INFO - Epoch(train) [4][3600/7904] lr: 4.9280e-04 eta: 15:58:41 time: 0.4563 data_time: 0.0017 memory: 11161 loss: 0.1876 loss_ctc: 0.1876 2023/01/05 22:08:05 - mmengine - INFO - Epoch(train) [4][3700/7904] lr: 4.9267e-04 eta: 15:58:09 time: 0.4507 data_time: 0.0018 memory: 11161 loss: 0.2100 loss_ctc: 0.2100 2023/01/05 22:08:50 - mmengine - INFO - Epoch(train) [4][3800/7904] lr: 4.9255e-04 eta: 15:57:30 time: 0.4109 data_time: 0.0019 memory: 11161 loss: 0.1950 loss_ctc: 0.1950 2023/01/05 22:09:36 - mmengine - INFO - Epoch(train) [4][3900/7904] lr: 4.9242e-04 eta: 15:56:52 time: 0.4097 data_time: 0.0018 memory: 11161 loss: 0.2160 loss_ctc: 0.2160 2023/01/05 22:10:20 - mmengine - INFO - Epoch(train) [4][4000/7904] lr: 4.9229e-04 eta: 15:56:10 time: 0.4025 data_time: 0.0019 memory: 11161 loss: 0.2023 loss_ctc: 0.2023 2023/01/05 22:11:04 - mmengine - INFO - Epoch(train) [4][4100/7904] lr: 4.9216e-04 eta: 15:55:24 time: 0.4452 data_time: 0.0018 memory: 11161 loss: 0.1858 loss_ctc: 0.1858 2023/01/05 22:11:48 - mmengine - INFO - Epoch(train) [4][4200/7904] lr: 4.9203e-04 eta: 15:54:41 time: 0.4466 data_time: 0.0018 memory: 11161 loss: 0.1895 loss_ctc: 0.1895 2023/01/05 22:12:27 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 22:12:32 - mmengine - INFO - Epoch(train) [4][4300/7904] lr: 4.9190e-04 eta: 15:53:55 time: 0.4073 data_time: 0.0019 memory: 11161 loss: 0.1830 loss_ctc: 0.1830 2023/01/05 22:13:15 - mmengine - INFO - Epoch(train) [4][4400/7904] lr: 4.9177e-04 eta: 15:53:08 time: 0.4264 data_time: 0.0018 memory: 11161 loss: 0.2244 loss_ctc: 0.2244 2023/01/05 22:14:01 - mmengine - INFO - Epoch(train) [4][4500/7904] lr: 4.9163e-04 eta: 15:52:33 time: 0.4445 data_time: 0.0020 memory: 11161 loss: 0.2007 loss_ctc: 0.2007 2023/01/05 22:14:45 - mmengine - INFO - Epoch(train) [4][4600/7904] lr: 4.9150e-04 eta: 15:51:51 time: 0.5047 data_time: 0.0018 memory: 11161 loss: 0.1970 loss_ctc: 0.1970 2023/01/05 22:15:29 - mmengine - INFO - Epoch(train) [4][4700/7904] lr: 4.9136e-04 eta: 15:51:04 time: 0.4296 data_time: 0.0018 memory: 11161 loss: 0.1834 loss_ctc: 0.1834 2023/01/05 22:16:13 - mmengine - INFO - Epoch(train) [4][4800/7904] lr: 4.9122e-04 eta: 15:50:21 time: 0.5047 data_time: 0.0018 memory: 11161 loss: 0.1903 loss_ctc: 0.1903 2023/01/05 22:16:55 - mmengine - INFO - Epoch(train) [4][4900/7904] lr: 4.9109e-04 eta: 15:49:29 time: 0.3977 data_time: 0.0019 memory: 11161 loss: 0.1917 loss_ctc: 0.1917 2023/01/05 22:17:38 - mmengine - INFO - Epoch(train) [4][5000/7904] lr: 4.9095e-04 eta: 15:48:39 time: 0.4453 data_time: 0.0019 memory: 11161 loss: 0.2086 loss_ctc: 0.2086 2023/01/05 22:18:21 - mmengine - INFO - Epoch(train) [4][5100/7904] lr: 4.9081e-04 eta: 15:47:51 time: 0.4657 data_time: 0.0018 memory: 11161 loss: 0.1972 loss_ctc: 0.1972 2023/01/05 22:19:04 - mmengine - INFO - Epoch(train) [4][5200/7904] lr: 4.9067e-04 eta: 15:47:02 time: 0.4306 data_time: 0.0018 memory: 11161 loss: 0.1881 loss_ctc: 0.1881 2023/01/05 22:19:43 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 22:19:48 - mmengine - INFO - Epoch(train) [4][5300/7904] lr: 4.9052e-04 eta: 15:46:19 time: 0.4716 data_time: 0.0018 memory: 11161 loss: 0.2091 loss_ctc: 0.2091 2023/01/05 22:20:34 - mmengine - INFO - Epoch(train) [4][5400/7904] lr: 4.9038e-04 eta: 15:45:42 time: 0.4413 data_time: 0.0019 memory: 11161 loss: 0.1873 loss_ctc: 0.1873 2023/01/05 22:21:19 - mmengine - INFO - Epoch(train) [4][5500/7904] lr: 4.9024e-04 eta: 15:45:05 time: 0.4910 data_time: 0.0018 memory: 11161 loss: 0.1867 loss_ctc: 0.1867 2023/01/05 22:22:04 - mmengine - INFO - Epoch(train) [4][5600/7904] lr: 4.9009e-04 eta: 15:44:22 time: 0.4553 data_time: 0.0018 memory: 11161 loss: 0.1864 loss_ctc: 0.1864 2023/01/05 22:22:49 - mmengine - INFO - Epoch(train) [4][5700/7904] lr: 4.8995e-04 eta: 15:43:47 time: 0.4642 data_time: 0.0018 memory: 11161 loss: 0.2026 loss_ctc: 0.2026 2023/01/05 22:23:33 - mmengine - INFO - Epoch(train) [4][5800/7904] lr: 4.8980e-04 eta: 15:43:02 time: 0.4606 data_time: 0.0018 memory: 11161 loss: 0.2020 loss_ctc: 0.2020 2023/01/05 22:24:19 - mmengine - INFO - Epoch(train) [4][5900/7904] lr: 4.8965e-04 eta: 15:42:24 time: 0.4505 data_time: 0.0017 memory: 11161 loss: 0.1986 loss_ctc: 0.1986 2023/01/05 22:25:03 - mmengine - INFO - Epoch(train) [4][6000/7904] lr: 4.8950e-04 eta: 15:41:41 time: 0.4184 data_time: 0.0018 memory: 11161 loss: 0.2146 loss_ctc: 0.2146 2023/01/05 22:25:47 - mmengine - INFO - Epoch(train) [4][6100/7904] lr: 4.8935e-04 eta: 15:40:58 time: 0.4099 data_time: 0.0018 memory: 11161 loss: 0.2269 loss_ctc: 0.2269 2023/01/05 22:26:31 - mmengine - INFO - Epoch(train) [4][6200/7904] lr: 4.8920e-04 eta: 15:40:12 time: 0.4297 data_time: 0.0019 memory: 11161 loss: 0.1952 loss_ctc: 0.1952 2023/01/05 22:27:10 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 22:27:15 - mmengine - INFO - Epoch(train) [4][6300/7904] lr: 4.8905e-04 eta: 15:39:29 time: 0.4669 data_time: 0.0018 memory: 11161 loss: 0.2008 loss_ctc: 0.2008 2023/01/05 22:27:58 - mmengine - INFO - Epoch(train) [4][6400/7904] lr: 4.8889e-04 eta: 15:38:41 time: 0.4446 data_time: 0.0018 memory: 11161 loss: 0.1902 loss_ctc: 0.1902 2023/01/05 22:28:42 - mmengine - INFO - Epoch(train) [4][6500/7904] lr: 4.8874e-04 eta: 15:37:56 time: 0.4300 data_time: 0.0018 memory: 11161 loss: 0.2044 loss_ctc: 0.2044 2023/01/05 22:29:27 - mmengine - INFO - Epoch(train) [4][6600/7904] lr: 4.8858e-04 eta: 15:37:18 time: 0.4330 data_time: 0.0019 memory: 11161 loss: 0.2174 loss_ctc: 0.2174 2023/01/05 22:30:11 - mmengine - INFO - Epoch(train) [4][6700/7904] lr: 4.8843e-04 eta: 15:36:33 time: 0.4325 data_time: 0.0018 memory: 11161 loss: 0.2059 loss_ctc: 0.2059 2023/01/05 22:30:54 - mmengine - INFO - Epoch(train) [4][6800/7904] lr: 4.8827e-04 eta: 15:35:43 time: 0.4547 data_time: 0.0018 memory: 11161 loss: 0.1965 loss_ctc: 0.1965 2023/01/05 22:31:38 - mmengine - INFO - Epoch(train) [4][6900/7904] lr: 4.8811e-04 eta: 15:34:58 time: 0.4149 data_time: 0.0018 memory: 11161 loss: 0.2007 loss_ctc: 0.2007 2023/01/05 22:32:23 - mmengine - INFO - Epoch(train) [4][7000/7904] lr: 4.8795e-04 eta: 15:34:18 time: 0.4432 data_time: 0.0018 memory: 11161 loss: 0.1984 loss_ctc: 0.1984 2023/01/05 22:33:08 - mmengine - INFO - Epoch(train) [4][7100/7904] lr: 4.8779e-04 eta: 15:33:39 time: 0.4221 data_time: 0.0018 memory: 11161 loss: 0.2073 loss_ctc: 0.2073 2023/01/05 22:33:52 - mmengine - INFO - Epoch(train) [4][7200/7904] lr: 4.8763e-04 eta: 15:32:55 time: 0.4548 data_time: 0.0020 memory: 11161 loss: 0.2170 loss_ctc: 0.2170 2023/01/05 22:34:31 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 22:34:37 - mmengine - INFO - Epoch(train) [4][7300/7904] lr: 4.8746e-04 eta: 15:32:14 time: 0.4650 data_time: 0.0018 memory: 11161 loss: 0.1991 loss_ctc: 0.1991 2023/01/05 22:35:21 - mmengine - INFO - Epoch(train) [4][7400/7904] lr: 4.8730e-04 eta: 15:31:29 time: 0.4754 data_time: 0.0018 memory: 11161 loss: 0.1874 loss_ctc: 0.1874 2023/01/05 22:36:05 - mmengine - INFO - Epoch(train) [4][7500/7904] lr: 4.8713e-04 eta: 15:30:46 time: 0.4457 data_time: 0.0019 memory: 11161 loss: 0.1801 loss_ctc: 0.1801 2023/01/05 22:36:49 - mmengine - INFO - Epoch(train) [4][7600/7904] lr: 4.8697e-04 eta: 15:30:05 time: 0.4627 data_time: 0.0018 memory: 11161 loss: 0.1789 loss_ctc: 0.1789 2023/01/05 22:37:35 - mmengine - INFO - Epoch(train) [4][7700/7904] lr: 4.8680e-04 eta: 15:29:28 time: 0.4448 data_time: 0.0020 memory: 11161 loss: 0.1896 loss_ctc: 0.1896 2023/01/05 22:38:21 - mmengine - INFO - Epoch(train) [4][7800/7904] lr: 4.8663e-04 eta: 15:28:51 time: 0.4553 data_time: 0.0026 memory: 11161 loss: 0.1904 loss_ctc: 0.1904 2023/01/05 22:39:00 - mmengine - INFO - Epoch(train) [4][7900/7904] lr: 4.8646e-04 eta: 15:27:48 time: 0.3144 data_time: 0.0014 memory: 11161 loss: 0.1738 loss_ctc: 0.1738 2023/01/05 22:39:01 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 22:39:01 - mmengine - INFO - Saving checkpoint at 4 epochs 2023/01/05 22:39:03 - mmengine - INFO - Epoch(val) [4][15/15] CUTE80/recog/word_acc: 0.1562 CUTE80/recog/word_acc_ignore_case: 0.8229 CUTE80/recog/word_acc_ignore_case_symbol: 0.8229 IIIT5K/recog/word_acc: 0.0617 IIIT5K/recog/word_acc_ignore_case: 0.8303 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8303 SVT/recog/word_acc: 0.8578 SVT/recog/word_acc_ignore_case: 0.8578 SVT/recog/word_acc_ignore_case_symbol: 0.8578 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.7845 SVTP/recog/word_acc_ignore_case_symbol: 0.7845 IC13/recog/word_acc: 0.2828 IC13/recog/word_acc_ignore_case: 0.9133 IC13/recog/word_acc_ignore_case_symbol: 0.9133 IC15/recog/word_acc: 0.1127 IC15/recog/word_acc_ignore_case: 0.6938 IC15/recog/word_acc_ignore_case_symbol: 0.7005 CUTE80/recog/char_recall: 0.9203 CUTE80/recog/char_precision: 0.9215 IIIT5K/recog/char_recall: 0.9775 IIIT5K/recog/char_precision: 0.9007 SVT/recog/char_recall: 0.9700 SVT/recog/char_precision: 0.9559 SVTP/recog/char_recall: 0.9237 SVTP/recog/char_precision: 0.9363 IC13/recog/char_recall: 0.9824 IC13/recog/char_precision: 0.9673 IC15/recog/char_recall: 0.9141 IC15/recog/char_precision: 0.8780 2023/01/05 22:40:01 - mmengine - INFO - Epoch(train) [5][ 100/7904] lr: 4.8629e-04 eta: 15:27:55 time: 0.4713 data_time: 0.0018 memory: 11161 loss: 0.1796 loss_ctc: 0.1796 2023/01/05 22:40:44 - mmengine - INFO - Epoch(train) [5][ 200/7904] lr: 4.8611e-04 eta: 15:27:05 time: 0.4239 data_time: 0.0018 memory: 11161 loss: 0.1873 loss_ctc: 0.1873 2023/01/05 22:41:28 - mmengine - INFO - Epoch(train) [5][ 300/7904] lr: 4.8594e-04 eta: 15:26:19 time: 0.4663 data_time: 0.0020 memory: 11161 loss: 0.2068 loss_ctc: 0.2068 2023/01/05 22:42:05 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 22:42:11 - mmengine - INFO - Epoch(train) [5][ 400/7904] lr: 4.8577e-04 eta: 15:25:33 time: 0.3903 data_time: 0.0018 memory: 11161 loss: 0.1840 loss_ctc: 0.1840 2023/01/05 22:42:55 - mmengine - INFO - Epoch(train) [5][ 500/7904] lr: 4.8559e-04 eta: 15:24:48 time: 0.4392 data_time: 0.0018 memory: 11161 loss: 0.1844 loss_ctc: 0.1844 2023/01/05 22:43:37 - mmengine - INFO - Epoch(train) [5][ 600/7904] lr: 4.8542e-04 eta: 15:23:57 time: 0.4148 data_time: 0.0018 memory: 11161 loss: 0.1988 loss_ctc: 0.1988 2023/01/05 22:44:21 - mmengine - INFO - Epoch(train) [5][ 700/7904] lr: 4.8524e-04 eta: 15:23:12 time: 0.4580 data_time: 0.0019 memory: 11161 loss: 0.1751 loss_ctc: 0.1751 2023/01/05 22:45:06 - mmengine - INFO - Epoch(train) [5][ 800/7904] lr: 4.8506e-04 eta: 15:22:33 time: 0.4153 data_time: 0.0018 memory: 11161 loss: 0.1932 loss_ctc: 0.1932 2023/01/05 22:45:50 - mmengine - INFO - Epoch(train) [5][ 900/7904] lr: 4.8489e-04 eta: 15:21:46 time: 0.4225 data_time: 0.0018 memory: 11161 loss: 0.2000 loss_ctc: 0.2000 2023/01/05 22:46:36 - mmengine - INFO - Epoch(train) [5][1000/7904] lr: 4.8471e-04 eta: 15:21:08 time: 0.4445 data_time: 0.0018 memory: 11161 loss: 0.2025 loss_ctc: 0.2025 2023/01/05 22:47:19 - mmengine - INFO - Epoch(train) [5][1100/7904] lr: 4.8453e-04 eta: 15:20:22 time: 0.4359 data_time: 0.0018 memory: 11161 loss: 0.1892 loss_ctc: 0.1892 2023/01/05 22:48:04 - mmengine - INFO - Epoch(train) [5][1200/7904] lr: 4.8434e-04 eta: 15:19:42 time: 0.4639 data_time: 0.0018 memory: 11161 loss: 0.1987 loss_ctc: 0.1987 2023/01/05 22:48:48 - mmengine - INFO - Epoch(train) [5][1300/7904] lr: 4.8416e-04 eta: 15:18:57 time: 0.4114 data_time: 0.0019 memory: 11161 loss: 0.1802 loss_ctc: 0.1802 2023/01/05 22:49:26 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 22:49:33 - mmengine - INFO - Epoch(train) [5][1400/7904] lr: 4.8398e-04 eta: 15:18:17 time: 0.4554 data_time: 0.0019 memory: 11161 loss: 0.1815 loss_ctc: 0.1815 2023/01/05 22:50:18 - mmengine - INFO - Epoch(train) [5][1500/7904] lr: 4.8379e-04 eta: 15:17:35 time: 0.4446 data_time: 0.0019 memory: 11161 loss: 0.2112 loss_ctc: 0.2112 2023/01/05 22:51:01 - mmengine - INFO - Epoch(train) [5][1600/7904] lr: 4.8361e-04 eta: 15:16:49 time: 0.4263 data_time: 0.0018 memory: 11161 loss: 0.1957 loss_ctc: 0.1957 2023/01/05 22:51:47 - mmengine - INFO - Epoch(train) [5][1700/7904] lr: 4.8342e-04 eta: 15:16:10 time: 0.4267 data_time: 0.0020 memory: 11161 loss: 0.1863 loss_ctc: 0.1863 2023/01/05 22:52:32 - mmengine - INFO - Epoch(train) [5][1800/7904] lr: 4.8323e-04 eta: 15:15:29 time: 0.4384 data_time: 0.0018 memory: 11161 loss: 0.1983 loss_ctc: 0.1983 2023/01/05 22:53:18 - mmengine - INFO - Epoch(train) [5][1900/7904] lr: 4.8304e-04 eta: 15:14:54 time: 0.4494 data_time: 0.0019 memory: 11161 loss: 0.1862 loss_ctc: 0.1862 2023/01/05 22:54:02 - mmengine - INFO - Epoch(train) [5][2000/7904] lr: 4.8285e-04 eta: 15:14:08 time: 0.4708 data_time: 0.0019 memory: 11161 loss: 0.1783 loss_ctc: 0.1783 2023/01/05 22:54:47 - mmengine - INFO - Epoch(train) [5][2100/7904] lr: 4.8266e-04 eta: 15:13:27 time: 0.4101 data_time: 0.0025 memory: 11161 loss: 0.1773 loss_ctc: 0.1773 2023/01/05 22:55:31 - mmengine - INFO - Epoch(train) [5][2200/7904] lr: 4.8247e-04 eta: 15:12:43 time: 0.4049 data_time: 0.0018 memory: 11161 loss: 0.1885 loss_ctc: 0.1885 2023/01/05 22:56:15 - mmengine - INFO - Epoch(train) [5][2300/7904] lr: 4.8228e-04 eta: 15:12:00 time: 0.4187 data_time: 0.0018 memory: 11161 loss: 0.1697 loss_ctc: 0.1697 2023/01/05 22:56:54 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 22:57:01 - mmengine - INFO - Epoch(train) [5][2400/7904] lr: 4.8208e-04 eta: 15:11:22 time: 0.4445 data_time: 0.0018 memory: 11161 loss: 0.1856 loss_ctc: 0.1856 2023/01/05 22:57:46 - mmengine - INFO - Epoch(train) [5][2500/7904] lr: 4.8189e-04 eta: 15:10:40 time: 0.4594 data_time: 0.0019 memory: 11161 loss: 0.1830 loss_ctc: 0.1830 2023/01/05 22:58:29 - mmengine - INFO - Epoch(train) [5][2600/7904] lr: 4.8169e-04 eta: 15:09:56 time: 0.4385 data_time: 0.0018 memory: 11161 loss: 0.1877 loss_ctc: 0.1877 2023/01/05 22:59:14 - mmengine - INFO - Epoch(train) [5][2700/7904] lr: 4.8150e-04 eta: 15:09:12 time: 0.4724 data_time: 0.0018 memory: 11161 loss: 0.1688 loss_ctc: 0.1688 2023/01/05 22:59:57 - mmengine - INFO - Epoch(train) [5][2800/7904] lr: 4.8130e-04 eta: 15:08:26 time: 0.4446 data_time: 0.0018 memory: 11161 loss: 0.1876 loss_ctc: 0.1876 2023/01/05 23:00:41 - mmengine - INFO - Epoch(train) [5][2900/7904] lr: 4.8110e-04 eta: 15:07:39 time: 0.4615 data_time: 0.0018 memory: 11161 loss: 0.1932 loss_ctc: 0.1932 2023/01/05 23:01:23 - mmengine - INFO - Epoch(train) [5][3000/7904] lr: 4.8090e-04 eta: 15:06:50 time: 0.4382 data_time: 0.0018 memory: 11161 loss: 0.1862 loss_ctc: 0.1862 2023/01/05 23:02:05 - mmengine - INFO - Epoch(train) [5][3100/7904] lr: 4.8070e-04 eta: 15:05:57 time: 0.4178 data_time: 0.0018 memory: 11161 loss: 0.1772 loss_ctc: 0.1772 2023/01/05 23:02:48 - mmengine - INFO - Epoch(train) [5][3200/7904] lr: 4.8050e-04 eta: 15:05:12 time: 0.4418 data_time: 0.0019 memory: 11161 loss: 0.1757 loss_ctc: 0.1757 2023/01/05 23:03:32 - mmengine - INFO - Epoch(train) [5][3300/7904] lr: 4.8029e-04 eta: 15:04:27 time: 0.4521 data_time: 0.0018 memory: 11161 loss: 0.1957 loss_ctc: 0.1957 2023/01/05 23:04:09 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 23:04:16 - mmengine - INFO - Epoch(train) [5][3400/7904] lr: 4.8009e-04 eta: 15:03:43 time: 0.4582 data_time: 0.0019 memory: 11161 loss: 0.1837 loss_ctc: 0.1837 2023/01/05 23:05:01 - mmengine - INFO - Epoch(train) [5][3500/7904] lr: 4.7988e-04 eta: 15:03:02 time: 0.4675 data_time: 0.0019 memory: 11161 loss: 0.1826 loss_ctc: 0.1826 2023/01/05 23:05:46 - mmengine - INFO - Epoch(train) [5][3600/7904] lr: 4.7968e-04 eta: 15:02:21 time: 0.4478 data_time: 0.0018 memory: 11161 loss: 0.1971 loss_ctc: 0.1971 2023/01/05 23:06:31 - mmengine - INFO - Epoch(train) [5][3700/7904] lr: 4.7947e-04 eta: 15:01:40 time: 0.4547 data_time: 0.0018 memory: 11161 loss: 0.1837 loss_ctc: 0.1837 2023/01/05 23:07:15 - mmengine - INFO - Epoch(train) [5][3800/7904] lr: 4.7926e-04 eta: 15:00:55 time: 0.4700 data_time: 0.0018 memory: 11161 loss: 0.1730 loss_ctc: 0.1730 2023/01/05 23:07:59 - mmengine - INFO - Epoch(train) [5][3900/7904] lr: 4.7905e-04 eta: 15:00:09 time: 0.4564 data_time: 0.0018 memory: 11161 loss: 0.1800 loss_ctc: 0.1800 2023/01/05 23:08:42 - mmengine - INFO - Epoch(train) [5][4000/7904] lr: 4.7884e-04 eta: 14:59:24 time: 0.4393 data_time: 0.0028 memory: 11161 loss: 0.1841 loss_ctc: 0.1841 2023/01/05 23:09:27 - mmengine - INFO - Epoch(train) [5][4100/7904] lr: 4.7863e-04 eta: 14:58:41 time: 0.4673 data_time: 0.0018 memory: 11161 loss: 0.1792 loss_ctc: 0.1792 2023/01/05 23:10:13 - mmengine - INFO - Epoch(train) [5][4200/7904] lr: 4.7842e-04 eta: 14:58:05 time: 0.4587 data_time: 0.0019 memory: 11161 loss: 0.1830 loss_ctc: 0.1830 2023/01/05 23:10:58 - mmengine - INFO - Epoch(train) [5][4300/7904] lr: 4.7821e-04 eta: 14:57:24 time: 0.4831 data_time: 0.0019 memory: 11161 loss: 0.1859 loss_ctc: 0.1859 2023/01/05 23:11:36 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 23:11:43 - mmengine - INFO - Epoch(train) [5][4400/7904] lr: 4.7799e-04 eta: 14:56:43 time: 0.4692 data_time: 0.0018 memory: 11161 loss: 0.1723 loss_ctc: 0.1723 2023/01/05 23:12:28 - mmengine - INFO - Epoch(train) [5][4500/7904] lr: 4.7778e-04 eta: 14:56:00 time: 0.4436 data_time: 0.0018 memory: 11161 loss: 0.1810 loss_ctc: 0.1810 2023/01/05 23:13:12 - mmengine - INFO - Epoch(train) [5][4600/7904] lr: 4.7756e-04 eta: 14:55:16 time: 0.4559 data_time: 0.0018 memory: 11161 loss: 0.1746 loss_ctc: 0.1746 2023/01/05 23:13:57 - mmengine - INFO - Epoch(train) [5][4700/7904] lr: 4.7735e-04 eta: 14:54:35 time: 0.4916 data_time: 0.0019 memory: 11161 loss: 0.1802 loss_ctc: 0.1802 2023/01/05 23:14:41 - mmengine - INFO - Epoch(train) [5][4800/7904] lr: 4.7713e-04 eta: 14:53:51 time: 0.4553 data_time: 0.0019 memory: 11161 loss: 0.1974 loss_ctc: 0.1974 2023/01/05 23:15:24 - mmengine - INFO - Epoch(train) [5][4900/7904] lr: 4.7691e-04 eta: 14:53:01 time: 0.3972 data_time: 0.0018 memory: 11161 loss: 0.1829 loss_ctc: 0.1829 2023/01/05 23:16:05 - mmengine - INFO - Epoch(train) [5][5000/7904] lr: 4.7669e-04 eta: 14:52:10 time: 0.4224 data_time: 0.0018 memory: 11161 loss: 0.1772 loss_ctc: 0.1772 2023/01/05 23:16:50 - mmengine - INFO - Epoch(train) [5][5100/7904] lr: 4.7647e-04 eta: 14:51:27 time: 0.4421 data_time: 0.0019 memory: 11161 loss: 0.1695 loss_ctc: 0.1695 2023/01/05 23:17:33 - mmengine - INFO - Epoch(train) [5][5200/7904] lr: 4.7625e-04 eta: 14:50:39 time: 0.4493 data_time: 0.0020 memory: 11161 loss: 0.1809 loss_ctc: 0.1809 2023/01/05 23:18:17 - mmengine - INFO - Epoch(train) [5][5300/7904] lr: 4.7602e-04 eta: 14:49:56 time: 0.4683 data_time: 0.0019 memory: 11161 loss: 0.1747 loss_ctc: 0.1747 2023/01/05 23:18:52 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 23:19:00 - mmengine - INFO - Epoch(train) [5][5400/7904] lr: 4.7580e-04 eta: 14:49:07 time: 0.4348 data_time: 0.0019 memory: 11161 loss: 0.1816 loss_ctc: 0.1816 2023/01/05 23:19:44 - mmengine - INFO - Epoch(train) [5][5500/7904] lr: 4.7557e-04 eta: 14:48:23 time: 0.4304 data_time: 0.0018 memory: 11161 loss: 0.1908 loss_ctc: 0.1908 2023/01/05 23:20:29 - mmengine - INFO - Epoch(train) [5][5600/7904] lr: 4.7535e-04 eta: 14:47:43 time: 0.4634 data_time: 0.0019 memory: 11161 loss: 0.1811 loss_ctc: 0.1811 2023/01/05 23:21:14 - mmengine - INFO - Epoch(train) [5][5700/7904] lr: 4.7512e-04 eta: 14:47:01 time: 0.4567 data_time: 0.0018 memory: 11161 loss: 0.1803 loss_ctc: 0.1803 2023/01/05 23:21:59 - mmengine - INFO - Epoch(train) [5][5800/7904] lr: 4.7489e-04 eta: 14:46:19 time: 0.4964 data_time: 0.0019 memory: 11161 loss: 0.1872 loss_ctc: 0.1872 2023/01/05 23:22:45 - mmengine - INFO - Epoch(train) [5][5900/7904] lr: 4.7466e-04 eta: 14:45:41 time: 0.4515 data_time: 0.0018 memory: 11161 loss: 0.1863 loss_ctc: 0.1863 2023/01/05 23:23:29 - mmengine - INFO - Epoch(train) [5][6000/7904] lr: 4.7443e-04 eta: 14:44:59 time: 0.4493 data_time: 0.0018 memory: 11161 loss: 0.1763 loss_ctc: 0.1763 2023/01/05 23:24:15 - mmengine - INFO - Epoch(train) [5][6100/7904] lr: 4.7420e-04 eta: 14:44:19 time: 0.4685 data_time: 0.0020 memory: 11161 loss: 0.1857 loss_ctc: 0.1857 2023/01/05 23:24:59 - mmengine - INFO - Epoch(train) [5][6200/7904] lr: 4.7397e-04 eta: 14:43:34 time: 0.3982 data_time: 0.0018 memory: 11161 loss: 0.1727 loss_ctc: 0.1727 2023/01/05 23:25:41 - mmengine - INFO - Epoch(train) [5][6300/7904] lr: 4.7374e-04 eta: 14:42:46 time: 0.4256 data_time: 0.0019 memory: 11161 loss: 0.1760 loss_ctc: 0.1760 2023/01/05 23:26:18 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 23:26:25 - mmengine - INFO - Epoch(train) [5][6400/7904] lr: 4.7351e-04 eta: 14:42:01 time: 0.4224 data_time: 0.0018 memory: 11161 loss: 0.1851 loss_ctc: 0.1851 2023/01/05 23:27:10 - mmengine - INFO - Epoch(train) [5][6500/7904] lr: 4.7327e-04 eta: 14:41:20 time: 0.4804 data_time: 0.0018 memory: 11161 loss: 0.1983 loss_ctc: 0.1983 2023/01/05 23:27:53 - mmengine - INFO - Epoch(train) [5][6600/7904] lr: 4.7303e-04 eta: 14:40:31 time: 0.4127 data_time: 0.0020 memory: 11161 loss: 0.1777 loss_ctc: 0.1777 2023/01/05 23:28:38 - mmengine - INFO - Epoch(train) [5][6700/7904] lr: 4.7280e-04 eta: 14:39:51 time: 0.3989 data_time: 0.0018 memory: 11161 loss: 0.1741 loss_ctc: 0.1741 2023/01/05 23:29:23 - mmengine - INFO - Epoch(train) [5][6800/7904] lr: 4.7256e-04 eta: 14:39:11 time: 0.4563 data_time: 0.0019 memory: 11161 loss: 0.1862 loss_ctc: 0.1862 2023/01/05 23:30:05 - mmengine - INFO - Epoch(train) [5][6900/7904] lr: 4.7232e-04 eta: 14:38:19 time: 0.4128 data_time: 0.0020 memory: 11161 loss: 0.2017 loss_ctc: 0.2017 2023/01/05 23:30:48 - mmengine - INFO - Epoch(train) [5][7000/7904] lr: 4.7208e-04 eta: 14:37:31 time: 0.3840 data_time: 0.0019 memory: 11161 loss: 0.1636 loss_ctc: 0.1636 2023/01/05 23:31:33 - mmengine - INFO - Epoch(train) [5][7100/7904] lr: 4.7184e-04 eta: 14:36:49 time: 0.4541 data_time: 0.0018 memory: 11161 loss: 0.1632 loss_ctc: 0.1632 2023/01/05 23:32:17 - mmengine - INFO - Epoch(train) [5][7200/7904] lr: 4.7160e-04 eta: 14:36:05 time: 0.4383 data_time: 0.0019 memory: 11161 loss: 0.1805 loss_ctc: 0.1805 2023/01/05 23:33:01 - mmengine - INFO - Epoch(train) [5][7300/7904] lr: 4.7136e-04 eta: 14:35:21 time: 0.4377 data_time: 0.0018 memory: 11161 loss: 0.1780 loss_ctc: 0.1780 2023/01/05 23:33:39 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 23:33:45 - mmengine - INFO - Epoch(train) [5][7400/7904] lr: 4.7111e-04 eta: 14:34:38 time: 0.4377 data_time: 0.0019 memory: 11161 loss: 0.1637 loss_ctc: 0.1637 2023/01/05 23:34:29 - mmengine - INFO - Epoch(train) [5][7500/7904] lr: 4.7087e-04 eta: 14:33:51 time: 0.4455 data_time: 0.0018 memory: 11161 loss: 0.1703 loss_ctc: 0.1703 2023/01/05 23:35:11 - mmengine - INFO - Epoch(train) [5][7600/7904] lr: 4.7062e-04 eta: 14:33:01 time: 0.4273 data_time: 0.0018 memory: 11161 loss: 0.1832 loss_ctc: 0.1832 2023/01/05 23:35:53 - mmengine - INFO - Epoch(train) [5][7700/7904] lr: 4.7038e-04 eta: 14:32:11 time: 0.4395 data_time: 0.0019 memory: 11161 loss: 0.1807 loss_ctc: 0.1807 2023/01/05 23:36:36 - mmengine - INFO - Epoch(train) [5][7800/7904] lr: 4.7013e-04 eta: 14:31:24 time: 0.4297 data_time: 0.0019 memory: 11161 loss: 0.1877 loss_ctc: 0.1877 2023/01/05 23:37:16 - mmengine - INFO - Epoch(train) [5][7900/7904] lr: 4.6988e-04 eta: 14:30:27 time: 0.3155 data_time: 0.0016 memory: 11161 loss: 0.1895 loss_ctc: 0.1895 2023/01/05 23:37:17 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 23:37:17 - mmengine - INFO - Saving checkpoint at 5 epochs 2023/01/05 23:37:19 - mmengine - INFO - Epoch(val) [5][15/15] CUTE80/recog/word_acc: 0.1667 CUTE80/recog/word_acc_ignore_case: 0.8437 CUTE80/recog/word_acc_ignore_case_symbol: 0.8437 IIIT5K/recog/word_acc: 0.0640 IIIT5K/recog/word_acc_ignore_case: 0.8397 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8397 SVT/recog/word_acc: 0.8856 SVT/recog/word_acc_ignore_case: 0.8856 SVT/recog/word_acc_ignore_case_symbol: 0.8856 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8000 SVTP/recog/word_acc_ignore_case_symbol: 0.8000 IC13/recog/word_acc: 0.2867 IC13/recog/word_acc_ignore_case: 0.9310 IC13/recog/word_acc_ignore_case_symbol: 0.9310 IC15/recog/word_acc: 0.1136 IC15/recog/word_acc_ignore_case: 0.7097 IC15/recog/word_acc_ignore_case_symbol: 0.7174 CUTE80/recog/char_recall: 0.9285 CUTE80/recog/char_precision: 0.9338 IIIT5K/recog/char_recall: 0.9786 IIIT5K/recog/char_precision: 0.9068 SVT/recog/char_recall: 0.9715 SVT/recog/char_precision: 0.9660 SVTP/recog/char_recall: 0.9210 SVTP/recog/char_precision: 0.9447 IC13/recog/char_recall: 0.9839 IC13/recog/char_precision: 0.9773 IC15/recog/char_recall: 0.9103 IC15/recog/char_precision: 0.8934 2023/01/05 23:38:16 - mmengine - INFO - Epoch(train) [6][ 100/7904] lr: 4.6962e-04 eta: 14:30:18 time: 0.4589 data_time: 0.0019 memory: 11161 loss: 0.1762 loss_ctc: 0.1762 2023/01/05 23:38:59 - mmengine - INFO - Epoch(train) [6][ 200/7904] lr: 4.6937e-04 eta: 14:29:32 time: 0.4376 data_time: 0.0019 memory: 11161 loss: 0.1737 loss_ctc: 0.1737 2023/01/05 23:39:45 - mmengine - INFO - Epoch(train) [6][ 300/7904] lr: 4.6912e-04 eta: 14:28:52 time: 0.4300 data_time: 0.0018 memory: 11161 loss: 0.1692 loss_ctc: 0.1692 2023/01/05 23:40:28 - mmengine - INFO - Epoch(train) [6][ 400/7904] lr: 4.6887e-04 eta: 14:28:06 time: 0.4153 data_time: 0.0018 memory: 11161 loss: 0.1854 loss_ctc: 0.1854 2023/01/05 23:41:03 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 23:41:12 - mmengine - INFO - Epoch(train) [6][ 500/7904] lr: 4.6861e-04 eta: 14:27:21 time: 0.4399 data_time: 0.0019 memory: 11161 loss: 0.1785 loss_ctc: 0.1785 2023/01/05 23:41:58 - mmengine - INFO - Epoch(train) [6][ 600/7904] lr: 4.6836e-04 eta: 14:26:44 time: 0.5277 data_time: 0.0020 memory: 11161 loss: 0.1817 loss_ctc: 0.1817 2023/01/05 23:42:41 - mmengine - INFO - Epoch(train) [6][ 700/7904] lr: 4.6811e-04 eta: 14:25:56 time: 0.4500 data_time: 0.0019 memory: 11161 loss: 0.1861 loss_ctc: 0.1861 2023/01/05 23:43:23 - mmengine - INFO - Epoch(train) [6][ 800/7904] lr: 4.6785e-04 eta: 14:25:04 time: 0.4134 data_time: 0.0018 memory: 11161 loss: 0.1633 loss_ctc: 0.1633 2023/01/05 23:44:07 - mmengine - INFO - Epoch(train) [6][ 900/7904] lr: 4.6759e-04 eta: 14:24:20 time: 0.4433 data_time: 0.0019 memory: 11161 loss: 0.1917 loss_ctc: 0.1917 2023/01/05 23:44:50 - mmengine - INFO - Epoch(train) [6][1000/7904] lr: 4.6733e-04 eta: 14:23:35 time: 0.4431 data_time: 0.0019 memory: 11161 loss: 0.1782 loss_ctc: 0.1782 2023/01/05 23:45:35 - mmengine - INFO - Epoch(train) [6][1100/7904] lr: 4.6708e-04 eta: 14:22:52 time: 0.4449 data_time: 0.0019 memory: 11161 loss: 0.1919 loss_ctc: 0.1919 2023/01/05 23:46:18 - mmengine - INFO - Epoch(train) [6][1200/7904] lr: 4.6682e-04 eta: 14:22:04 time: 0.4495 data_time: 0.0018 memory: 11161 loss: 0.1884 loss_ctc: 0.1884 2023/01/05 23:47:01 - mmengine - INFO - Epoch(train) [6][1300/7904] lr: 4.6655e-04 eta: 14:21:18 time: 0.3872 data_time: 0.0018 memory: 11161 loss: 0.1722 loss_ctc: 0.1722 2023/01/05 23:47:45 - mmengine - INFO - Epoch(train) [6][1400/7904] lr: 4.6629e-04 eta: 14:20:32 time: 0.4258 data_time: 0.0018 memory: 11161 loss: 0.1832 loss_ctc: 0.1832 2023/01/05 23:48:20 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 23:48:29 - mmengine - INFO - Epoch(train) [6][1500/7904] lr: 4.6603e-04 eta: 14:19:48 time: 0.4152 data_time: 0.0024 memory: 11161 loss: 0.1843 loss_ctc: 0.1843 2023/01/05 23:49:12 - mmengine - INFO - Epoch(train) [6][1600/7904] lr: 4.6577e-04 eta: 14:19:02 time: 0.4511 data_time: 0.0018 memory: 11161 loss: 0.1688 loss_ctc: 0.1688 2023/01/05 23:49:55 - mmengine - INFO - Epoch(train) [6][1700/7904] lr: 4.6550e-04 eta: 14:18:13 time: 0.4453 data_time: 0.0018 memory: 11161 loss: 0.1725 loss_ctc: 0.1725 2023/01/05 23:50:38 - mmengine - INFO - Epoch(train) [6][1800/7904] lr: 4.6524e-04 eta: 14:17:26 time: 0.3948 data_time: 0.0019 memory: 11161 loss: 0.1815 loss_ctc: 0.1815 2023/01/05 23:51:21 - mmengine - INFO - Epoch(train) [6][1900/7904] lr: 4.6497e-04 eta: 14:16:40 time: 0.4511 data_time: 0.0018 memory: 11161 loss: 0.1742 loss_ctc: 0.1742 2023/01/05 23:52:04 - mmengine - INFO - Epoch(train) [6][2000/7904] lr: 4.6470e-04 eta: 14:15:54 time: 0.4326 data_time: 0.0019 memory: 11161 loss: 0.1664 loss_ctc: 0.1664 2023/01/05 23:52:48 - mmengine - INFO - Epoch(train) [6][2100/7904] lr: 4.6443e-04 eta: 14:15:09 time: 0.4539 data_time: 0.0018 memory: 11161 loss: 0.1734 loss_ctc: 0.1734 2023/01/05 23:53:33 - mmengine - INFO - Epoch(train) [6][2200/7904] lr: 4.6416e-04 eta: 14:14:29 time: 0.4853 data_time: 0.0018 memory: 11161 loss: 0.1755 loss_ctc: 0.1755 2023/01/05 23:54:18 - mmengine - INFO - Epoch(train) [6][2300/7904] lr: 4.6389e-04 eta: 14:13:45 time: 0.4460 data_time: 0.0019 memory: 11161 loss: 0.1783 loss_ctc: 0.1783 2023/01/05 23:55:00 - mmengine - INFO - Epoch(train) [6][2400/7904] lr: 4.6362e-04 eta: 14:12:55 time: 0.4529 data_time: 0.0018 memory: 11161 loss: 0.1649 loss_ctc: 0.1649 2023/01/05 23:55:36 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/05 23:55:45 - mmengine - INFO - Epoch(train) [6][2500/7904] lr: 4.6335e-04 eta: 14:12:14 time: 0.4380 data_time: 0.0018 memory: 11161 loss: 0.1792 loss_ctc: 0.1792 2023/01/05 23:56:29 - mmengine - INFO - Epoch(train) [6][2600/7904] lr: 4.6308e-04 eta: 14:11:29 time: 0.4224 data_time: 0.0019 memory: 11161 loss: 0.1591 loss_ctc: 0.1591 2023/01/05 23:57:14 - mmengine - INFO - Epoch(train) [6][2700/7904] lr: 4.6280e-04 eta: 14:10:48 time: 0.4199 data_time: 0.0018 memory: 11161 loss: 0.1755 loss_ctc: 0.1755 2023/01/05 23:57:58 - mmengine - INFO - Epoch(train) [6][2800/7904] lr: 4.6253e-04 eta: 14:10:04 time: 0.4511 data_time: 0.0019 memory: 11161 loss: 0.1725 loss_ctc: 0.1725 2023/01/05 23:58:39 - mmengine - INFO - Epoch(train) [6][2900/7904] lr: 4.6225e-04 eta: 14:09:13 time: 0.4024 data_time: 0.0018 memory: 11161 loss: 0.1817 loss_ctc: 0.1817 2023/01/05 23:59:24 - mmengine - INFO - Epoch(train) [6][3000/7904] lr: 4.6198e-04 eta: 14:08:31 time: 0.4961 data_time: 0.0019 memory: 11161 loss: 0.1626 loss_ctc: 0.1626 2023/01/06 00:00:08 - mmengine - INFO - Epoch(train) [6][3100/7904] lr: 4.6170e-04 eta: 14:07:46 time: 0.4358 data_time: 0.0034 memory: 11161 loss: 0.1873 loss_ctc: 0.1873 2023/01/06 00:00:52 - mmengine - INFO - Epoch(train) [6][3200/7904] lr: 4.6142e-04 eta: 14:07:02 time: 0.4662 data_time: 0.0019 memory: 11161 loss: 0.1724 loss_ctc: 0.1724 2023/01/06 00:01:36 - mmengine - INFO - Epoch(train) [6][3300/7904] lr: 4.6114e-04 eta: 14:06:18 time: 0.4400 data_time: 0.0019 memory: 11161 loss: 0.1814 loss_ctc: 0.1814 2023/01/06 00:02:20 - mmengine - INFO - Epoch(train) [6][3400/7904] lr: 4.6086e-04 eta: 14:05:34 time: 0.3886 data_time: 0.0019 memory: 11161 loss: 0.1828 loss_ctc: 0.1828 2023/01/06 00:02:55 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 00:03:04 - mmengine - INFO - Epoch(train) [6][3500/7904] lr: 4.6058e-04 eta: 14:04:49 time: 0.4170 data_time: 0.0018 memory: 11161 loss: 0.1704 loss_ctc: 0.1704 2023/01/06 00:03:49 - mmengine - INFO - Epoch(train) [6][3600/7904] lr: 4.6030e-04 eta: 14:04:07 time: 0.4466 data_time: 0.0019 memory: 11161 loss: 0.1669 loss_ctc: 0.1669 2023/01/06 00:04:33 - mmengine - INFO - Epoch(train) [6][3700/7904] lr: 4.6001e-04 eta: 14:03:22 time: 0.4188 data_time: 0.0019 memory: 11161 loss: 0.1807 loss_ctc: 0.1807 2023/01/06 00:05:17 - mmengine - INFO - Epoch(train) [6][3800/7904] lr: 4.5973e-04 eta: 14:02:38 time: 0.4421 data_time: 0.0019 memory: 11161 loss: 0.1805 loss_ctc: 0.1805 2023/01/06 00:06:01 - mmengine - INFO - Epoch(train) [6][3900/7904] lr: 4.5944e-04 eta: 14:01:54 time: 0.4333 data_time: 0.0018 memory: 11161 loss: 0.1860 loss_ctc: 0.1860 2023/01/06 00:06:45 - mmengine - INFO - Epoch(train) [6][4000/7904] lr: 4.5916e-04 eta: 14:01:10 time: 0.4275 data_time: 0.0019 memory: 11161 loss: 0.1824 loss_ctc: 0.1824 2023/01/06 00:07:28 - mmengine - INFO - Epoch(train) [6][4100/7904] lr: 4.5887e-04 eta: 14:00:24 time: 0.4332 data_time: 0.0019 memory: 11161 loss: 0.1497 loss_ctc: 0.1497 2023/01/06 00:08:12 - mmengine - INFO - Epoch(train) [6][4200/7904] lr: 4.5858e-04 eta: 13:59:38 time: 0.4331 data_time: 0.0018 memory: 11161 loss: 0.1798 loss_ctc: 0.1798 2023/01/06 00:08:57 - mmengine - INFO - Epoch(train) [6][4300/7904] lr: 4.5829e-04 eta: 13:58:58 time: 0.4531 data_time: 0.0018 memory: 11161 loss: 0.1830 loss_ctc: 0.1830 2023/01/06 00:09:41 - mmengine - INFO - Epoch(train) [6][4400/7904] lr: 4.5800e-04 eta: 13:58:13 time: 0.4060 data_time: 0.0019 memory: 11161 loss: 0.1783 loss_ctc: 0.1783 2023/01/06 00:10:15 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 00:10:24 - mmengine - INFO - Epoch(train) [6][4500/7904] lr: 4.5771e-04 eta: 13:57:27 time: 0.4234 data_time: 0.0020 memory: 11161 loss: 0.1630 loss_ctc: 0.1630 2023/01/06 00:11:09 - mmengine - INFO - Epoch(train) [6][4600/7904] lr: 4.5742e-04 eta: 13:56:45 time: 0.4285 data_time: 0.0020 memory: 11161 loss: 0.1782 loss_ctc: 0.1782 2023/01/06 00:11:53 - mmengine - INFO - Epoch(train) [6][4700/7904] lr: 4.5713e-04 eta: 13:56:00 time: 0.4490 data_time: 0.0019 memory: 11161 loss: 0.1697 loss_ctc: 0.1697 2023/01/06 00:12:38 - mmengine - INFO - Epoch(train) [6][4800/7904] lr: 4.5684e-04 eta: 13:55:19 time: 0.4738 data_time: 0.0018 memory: 11161 loss: 0.1710 loss_ctc: 0.1710 2023/01/06 00:13:22 - mmengine - INFO - Epoch(train) [6][4900/7904] lr: 4.5654e-04 eta: 13:54:35 time: 0.4330 data_time: 0.0018 memory: 11161 loss: 0.1758 loss_ctc: 0.1758 2023/01/06 00:14:07 - mmengine - INFO - Epoch(train) [6][5000/7904] lr: 4.5625e-04 eta: 13:53:52 time: 0.4503 data_time: 0.0018 memory: 11161 loss: 0.1632 loss_ctc: 0.1632 2023/01/06 00:14:52 - mmengine - INFO - Epoch(train) [6][5100/7904] lr: 4.5595e-04 eta: 13:53:11 time: 0.4705 data_time: 0.0018 memory: 11161 loss: 0.1717 loss_ctc: 0.1717 2023/01/06 00:15:35 - mmengine - INFO - Epoch(train) [6][5200/7904] lr: 4.5565e-04 eta: 13:52:24 time: 0.3895 data_time: 0.0019 memory: 11161 loss: 0.1684 loss_ctc: 0.1684 2023/01/06 00:16:16 - mmengine - INFO - Epoch(train) [6][5300/7904] lr: 4.5536e-04 eta: 13:51:33 time: 0.4338 data_time: 0.0021 memory: 11161 loss: 0.1651 loss_ctc: 0.1651 2023/01/06 00:16:59 - mmengine - INFO - Epoch(train) [6][5400/7904] lr: 4.5506e-04 eta: 13:50:46 time: 0.4097 data_time: 0.0018 memory: 11161 loss: 0.1824 loss_ctc: 0.1824 2023/01/06 00:17:36 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 00:17:44 - mmengine - INFO - Epoch(train) [6][5500/7904] lr: 4.5476e-04 eta: 13:50:05 time: 0.4473 data_time: 0.0019 memory: 11161 loss: 0.1710 loss_ctc: 0.1710 2023/01/06 00:18:27 - mmengine - INFO - Epoch(train) [6][5600/7904] lr: 4.5446e-04 eta: 13:49:17 time: 0.4286 data_time: 0.0020 memory: 11161 loss: 0.1610 loss_ctc: 0.1610 2023/01/06 00:19:11 - mmengine - INFO - Epoch(train) [6][5700/7904] lr: 4.5416e-04 eta: 13:48:34 time: 0.4089 data_time: 0.0020 memory: 11161 loss: 0.1785 loss_ctc: 0.1785 2023/01/06 00:19:56 - mmengine - INFO - Epoch(train) [6][5800/7904] lr: 4.5385e-04 eta: 13:47:52 time: 0.4656 data_time: 0.0018 memory: 11161 loss: 0.1520 loss_ctc: 0.1520 2023/01/06 00:20:41 - mmengine - INFO - Epoch(train) [6][5900/7904] lr: 4.5355e-04 eta: 13:47:09 time: 0.4569 data_time: 0.0021 memory: 11161 loss: 0.1627 loss_ctc: 0.1627 2023/01/06 00:21:26 - mmengine - INFO - Epoch(train) [6][6000/7904] lr: 4.5325e-04 eta: 13:46:28 time: 0.4621 data_time: 0.0019 memory: 11161 loss: 0.1646 loss_ctc: 0.1646 2023/01/06 00:22:10 - mmengine - INFO - Epoch(train) [6][6100/7904] lr: 4.5294e-04 eta: 13:45:44 time: 0.4737 data_time: 0.0019 memory: 11161 loss: 0.1841 loss_ctc: 0.1841 2023/01/06 00:22:54 - mmengine - INFO - Epoch(train) [6][6200/7904] lr: 4.5264e-04 eta: 13:45:01 time: 0.3952 data_time: 0.0019 memory: 11161 loss: 0.1560 loss_ctc: 0.1560 2023/01/06 00:23:37 - mmengine - INFO - Epoch(train) [6][6300/7904] lr: 4.5233e-04 eta: 13:44:14 time: 0.4770 data_time: 0.0020 memory: 11161 loss: 0.1880 loss_ctc: 0.1880 2023/01/06 00:24:18 - mmengine - INFO - Epoch(train) [6][6400/7904] lr: 4.5202e-04 eta: 13:43:23 time: 0.3944 data_time: 0.0019 memory: 11161 loss: 0.1568 loss_ctc: 0.1568 2023/01/06 00:24:53 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 00:25:02 - mmengine - INFO - Epoch(train) [6][6500/7904] lr: 4.5171e-04 eta: 13:42:36 time: 0.4482 data_time: 0.0019 memory: 11161 loss: 0.1667 loss_ctc: 0.1667 2023/01/06 00:25:45 - mmengine - INFO - Epoch(train) [6][6600/7904] lr: 4.5140e-04 eta: 13:41:50 time: 0.3856 data_time: 0.0018 memory: 11161 loss: 0.1716 loss_ctc: 0.1716 2023/01/06 00:26:28 - mmengine - INFO - Epoch(train) [6][6700/7904] lr: 4.5109e-04 eta: 13:41:04 time: 0.4347 data_time: 0.0021 memory: 11161 loss: 0.1729 loss_ctc: 0.1729 2023/01/06 00:27:12 - mmengine - INFO - Epoch(train) [6][6800/7904] lr: 4.5078e-04 eta: 13:40:21 time: 0.4487 data_time: 0.0019 memory: 11161 loss: 0.1685 loss_ctc: 0.1685 2023/01/06 00:27:57 - mmengine - INFO - Epoch(train) [6][6900/7904] lr: 4.5047e-04 eta: 13:39:39 time: 0.4503 data_time: 0.0019 memory: 11161 loss: 0.1772 loss_ctc: 0.1772 2023/01/06 00:28:41 - mmengine - INFO - Epoch(train) [6][7000/7904] lr: 4.5016e-04 eta: 13:38:55 time: 0.4811 data_time: 0.0019 memory: 11161 loss: 0.1813 loss_ctc: 0.1813 2023/01/06 00:29:25 - mmengine - INFO - Epoch(train) [6][7100/7904] lr: 4.4984e-04 eta: 13:38:10 time: 0.4425 data_time: 0.0019 memory: 11161 loss: 0.1746 loss_ctc: 0.1746 2023/01/06 00:30:10 - mmengine - INFO - Epoch(train) [6][7200/7904] lr: 4.4953e-04 eta: 13:37:28 time: 0.4658 data_time: 0.0019 memory: 11161 loss: 0.1541 loss_ctc: 0.1541 2023/01/06 00:30:54 - mmengine - INFO - Epoch(train) [6][7300/7904] lr: 4.4921e-04 eta: 13:36:43 time: 0.4738 data_time: 0.0018 memory: 11161 loss: 0.1770 loss_ctc: 0.1770 2023/01/06 00:31:38 - mmengine - INFO - Epoch(train) [6][7400/7904] lr: 4.4890e-04 eta: 13:36:00 time: 0.4175 data_time: 0.0020 memory: 11161 loss: 0.1851 loss_ctc: 0.1851 2023/01/06 00:32:14 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 00:32:23 - mmengine - INFO - Epoch(train) [6][7500/7904] lr: 4.4858e-04 eta: 13:35:17 time: 0.4320 data_time: 0.0019 memory: 11161 loss: 0.1715 loss_ctc: 0.1715 2023/01/06 00:33:07 - mmengine - INFO - Epoch(train) [6][7600/7904] lr: 4.4826e-04 eta: 13:34:34 time: 0.4496 data_time: 0.0019 memory: 11161 loss: 0.1798 loss_ctc: 0.1798 2023/01/06 00:33:51 - mmengine - INFO - Epoch(train) [6][7700/7904] lr: 4.4794e-04 eta: 13:33:50 time: 0.4095 data_time: 0.0020 memory: 11161 loss: 0.1899 loss_ctc: 0.1899 2023/01/06 00:34:36 - mmengine - INFO - Epoch(train) [6][7800/7904] lr: 4.4762e-04 eta: 13:33:08 time: 0.4321 data_time: 0.0018 memory: 11161 loss: 0.1559 loss_ctc: 0.1559 2023/01/06 00:35:15 - mmengine - INFO - Epoch(train) [6][7900/7904] lr: 4.4730e-04 eta: 13:32:11 time: 0.3169 data_time: 0.0018 memory: 11161 loss: 0.1671 loss_ctc: 0.1671 2023/01/06 00:35:16 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 00:35:16 - mmengine - INFO - Saving checkpoint at 6 epochs 2023/01/06 00:35:18 - mmengine - INFO - Epoch(val) [6][15/15] CUTE80/recog/word_acc: 0.1597 CUTE80/recog/word_acc_ignore_case: 0.8368 CUTE80/recog/word_acc_ignore_case_symbol: 0.8368 IIIT5K/recog/word_acc: 0.0637 IIIT5K/recog/word_acc_ignore_case: 0.8433 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8433 SVT/recog/word_acc: 0.8779 SVT/recog/word_acc_ignore_case: 0.8779 SVT/recog/word_acc_ignore_case_symbol: 0.8779 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8109 SVTP/recog/word_acc_ignore_case_symbol: 0.8109 IC13/recog/word_acc: 0.2877 IC13/recog/word_acc_ignore_case: 0.9379 IC13/recog/word_acc_ignore_case_symbol: 0.9379 IC15/recog/word_acc: 0.1127 IC15/recog/word_acc_ignore_case: 0.7130 IC15/recog/word_acc_ignore_case_symbol: 0.7208 CUTE80/recog/char_recall: 0.9172 CUTE80/recog/char_precision: 0.9247 IIIT5K/recog/char_recall: 0.9800 IIIT5K/recog/char_precision: 0.9098 SVT/recog/char_recall: 0.9721 SVT/recog/char_precision: 0.9665 SVTP/recog/char_recall: 0.9303 SVTP/recog/char_precision: 0.9514 IC13/recog/char_recall: 0.9866 IC13/recog/char_precision: 0.9785 IC15/recog/char_recall: 0.9160 IC15/recog/char_precision: 0.8954 2023/01/06 00:36:15 - mmengine - INFO - Epoch(train) [7][ 100/7904] lr: 4.4697e-04 eta: 13:31:53 time: 0.4178 data_time: 0.0018 memory: 11161 loss: 0.1660 loss_ctc: 0.1660 2023/01/06 00:36:58 - mmengine - INFO - Epoch(train) [7][ 200/7904] lr: 4.4664e-04 eta: 13:31:07 time: 0.4150 data_time: 0.0018 memory: 11161 loss: 0.1729 loss_ctc: 0.1729 2023/01/06 00:37:42 - mmengine - INFO - Epoch(train) [7][ 300/7904] lr: 4.4632e-04 eta: 13:30:24 time: 0.4707 data_time: 0.0018 memory: 11161 loss: 0.1809 loss_ctc: 0.1809 2023/01/06 00:38:27 - mmengine - INFO - Epoch(train) [7][ 400/7904] lr: 4.4600e-04 eta: 13:29:40 time: 0.4707 data_time: 0.0019 memory: 11161 loss: 0.1775 loss_ctc: 0.1775 2023/01/06 00:39:10 - mmengine - INFO - Epoch(train) [7][ 500/7904] lr: 4.4567e-04 eta: 13:28:55 time: 0.4375 data_time: 0.0018 memory: 11161 loss: 0.1757 loss_ctc: 0.1757 2023/01/06 00:39:44 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 00:39:55 - mmengine - INFO - Epoch(train) [7][ 600/7904] lr: 4.4535e-04 eta: 13:28:11 time: 0.4695 data_time: 0.0019 memory: 11161 loss: 0.1687 loss_ctc: 0.1687 2023/01/06 00:40:39 - mmengine - INFO - Epoch(train) [7][ 700/7904] lr: 4.4502e-04 eta: 13:27:29 time: 0.4384 data_time: 0.0019 memory: 11161 loss: 0.1625 loss_ctc: 0.1625 2023/01/06 00:41:24 - mmengine - INFO - Epoch(train) [7][ 800/7904] lr: 4.4469e-04 eta: 13:26:46 time: 0.4222 data_time: 0.0020 memory: 11161 loss: 0.1561 loss_ctc: 0.1561 2023/01/06 00:42:08 - mmengine - INFO - Epoch(train) [7][ 900/7904] lr: 4.4436e-04 eta: 13:26:03 time: 0.4500 data_time: 0.0020 memory: 11161 loss: 0.1646 loss_ctc: 0.1646 2023/01/06 00:42:52 - mmengine - INFO - Epoch(train) [7][1000/7904] lr: 4.4403e-04 eta: 13:25:18 time: 0.4114 data_time: 0.0019 memory: 11161 loss: 0.1702 loss_ctc: 0.1702 2023/01/06 00:43:35 - mmengine - INFO - Epoch(train) [7][1100/7904] lr: 4.4370e-04 eta: 13:24:31 time: 0.4784 data_time: 0.0019 memory: 11161 loss: 0.1611 loss_ctc: 0.1611 2023/01/06 00:44:20 - mmengine - INFO - Epoch(train) [7][1200/7904] lr: 4.4337e-04 eta: 13:23:48 time: 0.4574 data_time: 0.0019 memory: 11161 loss: 0.1535 loss_ctc: 0.1535 2023/01/06 00:45:03 - mmengine - INFO - Epoch(train) [7][1300/7904] lr: 4.4304e-04 eta: 13:23:02 time: 0.3904 data_time: 0.0019 memory: 11161 loss: 0.1588 loss_ctc: 0.1588 2023/01/06 00:45:46 - mmengine - INFO - Epoch(train) [7][1400/7904] lr: 4.4271e-04 eta: 13:22:16 time: 0.4480 data_time: 0.0019 memory: 11161 loss: 0.1648 loss_ctc: 0.1648 2023/01/06 00:46:32 - mmengine - INFO - Epoch(train) [7][1500/7904] lr: 4.4237e-04 eta: 13:21:36 time: 0.4533 data_time: 0.0018 memory: 11161 loss: 0.1632 loss_ctc: 0.1632 2023/01/06 00:47:06 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 00:47:16 - mmengine - INFO - Epoch(train) [7][1600/7904] lr: 4.4204e-04 eta: 13:20:51 time: 0.4412 data_time: 0.0018 memory: 11161 loss: 0.1579 loss_ctc: 0.1579 2023/01/06 00:48:00 - mmengine - INFO - Epoch(train) [7][1700/7904] lr: 4.4170e-04 eta: 13:20:08 time: 0.4181 data_time: 0.0019 memory: 11161 loss: 0.1787 loss_ctc: 0.1787 2023/01/06 00:48:42 - mmengine - INFO - Epoch(train) [7][1800/7904] lr: 4.4137e-04 eta: 13:19:18 time: 0.4162 data_time: 0.0019 memory: 11161 loss: 0.1708 loss_ctc: 0.1708 2023/01/06 00:49:25 - mmengine - INFO - Epoch(train) [7][1900/7904] lr: 4.4103e-04 eta: 13:18:33 time: 0.4237 data_time: 0.0019 memory: 11161 loss: 0.1682 loss_ctc: 0.1682 2023/01/06 00:50:08 - mmengine - INFO - Epoch(train) [7][2000/7904] lr: 4.4069e-04 eta: 13:17:46 time: 0.4248 data_time: 0.0019 memory: 11161 loss: 0.1483 loss_ctc: 0.1483 2023/01/06 00:50:52 - mmengine - INFO - Epoch(train) [7][2100/7904] lr: 4.4035e-04 eta: 13:17:01 time: 0.4614 data_time: 0.0020 memory: 11161 loss: 0.1651 loss_ctc: 0.1651 2023/01/06 00:51:36 - mmengine - INFO - Epoch(train) [7][2200/7904] lr: 4.4002e-04 eta: 13:16:18 time: 0.4169 data_time: 0.0019 memory: 11161 loss: 0.1821 loss_ctc: 0.1821 2023/01/06 00:52:19 - mmengine - INFO - Epoch(train) [7][2300/7904] lr: 4.3967e-04 eta: 13:15:32 time: 0.4250 data_time: 0.0020 memory: 11161 loss: 0.1604 loss_ctc: 0.1604 2023/01/06 00:53:02 - mmengine - INFO - Epoch(train) [7][2400/7904] lr: 4.3933e-04 eta: 13:14:46 time: 0.4403 data_time: 0.0019 memory: 11161 loss: 0.1593 loss_ctc: 0.1593 2023/01/06 00:53:46 - mmengine - INFO - Epoch(train) [7][2500/7904] lr: 4.3899e-04 eta: 13:14:02 time: 0.4442 data_time: 0.0019 memory: 11161 loss: 0.1710 loss_ctc: 0.1710 2023/01/06 00:54:19 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 00:54:29 - mmengine - INFO - Epoch(train) [7][2600/7904] lr: 4.3865e-04 eta: 13:13:15 time: 0.4161 data_time: 0.0020 memory: 11161 loss: 0.1772 loss_ctc: 0.1772 2023/01/06 00:55:11 - mmengine - INFO - Epoch(train) [7][2700/7904] lr: 4.3831e-04 eta: 13:12:26 time: 0.4025 data_time: 0.0018 memory: 11161 loss: 0.1772 loss_ctc: 0.1772 2023/01/06 00:55:54 - mmengine - INFO - Epoch(train) [7][2800/7904] lr: 4.3796e-04 eta: 13:11:40 time: 0.3932 data_time: 0.0020 memory: 11161 loss: 0.1626 loss_ctc: 0.1626 2023/01/06 00:56:37 - mmengine - INFO - Epoch(train) [7][2900/7904] lr: 4.3762e-04 eta: 13:10:54 time: 0.4291 data_time: 0.0019 memory: 11161 loss: 0.1625 loss_ctc: 0.1625 2023/01/06 00:57:21 - mmengine - INFO - Epoch(train) [7][3000/7904] lr: 4.3727e-04 eta: 13:10:10 time: 0.4702 data_time: 0.0019 memory: 11161 loss: 0.1622 loss_ctc: 0.1622 2023/01/06 00:58:05 - mmengine - INFO - Epoch(train) [7][3100/7904] lr: 4.3692e-04 eta: 13:09:25 time: 0.4086 data_time: 0.0019 memory: 11161 loss: 0.1794 loss_ctc: 0.1794 2023/01/06 00:58:49 - mmengine - INFO - Epoch(train) [7][3200/7904] lr: 4.3658e-04 eta: 13:08:42 time: 0.4432 data_time: 0.0019 memory: 11161 loss: 0.1759 loss_ctc: 0.1759 2023/01/06 00:59:33 - mmengine - INFO - Epoch(train) [7][3300/7904] lr: 4.3623e-04 eta: 13:07:56 time: 0.4267 data_time: 0.0019 memory: 11161 loss: 0.1779 loss_ctc: 0.1779 2023/01/06 01:00:17 - mmengine - INFO - Epoch(train) [7][3400/7904] lr: 4.3588e-04 eta: 13:07:13 time: 0.4718 data_time: 0.0018 memory: 11161 loss: 0.1585 loss_ctc: 0.1585 2023/01/06 01:01:01 - mmengine - INFO - Epoch(train) [7][3500/7904] lr: 4.3553e-04 eta: 13:06:29 time: 0.4118 data_time: 0.0018 memory: 11161 loss: 0.1645 loss_ctc: 0.1645 2023/01/06 01:01:36 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 01:01:46 - mmengine - INFO - Epoch(train) [7][3600/7904] lr: 4.3518e-04 eta: 13:05:47 time: 0.4127 data_time: 0.0019 memory: 11161 loss: 0.1718 loss_ctc: 0.1718 2023/01/06 01:02:28 - mmengine - INFO - Epoch(train) [7][3700/7904] lr: 4.3482e-04 eta: 13:04:59 time: 0.4187 data_time: 0.0019 memory: 11161 loss: 0.1755 loss_ctc: 0.1755 2023/01/06 01:03:14 - mmengine - INFO - Epoch(train) [7][3800/7904] lr: 4.3447e-04 eta: 13:04:18 time: 0.4439 data_time: 0.0019 memory: 11161 loss: 0.1577 loss_ctc: 0.1577 2023/01/06 01:03:58 - mmengine - INFO - Epoch(train) [7][3900/7904] lr: 4.3412e-04 eta: 13:03:34 time: 0.4400 data_time: 0.0018 memory: 11161 loss: 0.1642 loss_ctc: 0.1642 2023/01/06 01:04:41 - mmengine - INFO - Epoch(train) [7][4000/7904] lr: 4.3376e-04 eta: 13:02:47 time: 0.4717 data_time: 0.0018 memory: 11161 loss: 0.1620 loss_ctc: 0.1620 2023/01/06 01:05:24 - mmengine - INFO - Epoch(train) [7][4100/7904] lr: 4.3341e-04 eta: 13:02:02 time: 0.4288 data_time: 0.0020 memory: 11161 loss: 0.1668 loss_ctc: 0.1668 2023/01/06 01:06:10 - mmengine - INFO - Epoch(train) [7][4200/7904] lr: 4.3305e-04 eta: 13:01:21 time: 0.4732 data_time: 0.0019 memory: 11161 loss: 0.1608 loss_ctc: 0.1608 2023/01/06 01:06:55 - mmengine - INFO - Epoch(train) [7][4300/7904] lr: 4.3270e-04 eta: 13:00:39 time: 0.4295 data_time: 0.0019 memory: 11161 loss: 0.1773 loss_ctc: 0.1773 2023/01/06 01:07:39 - mmengine - INFO - Epoch(train) [7][4400/7904] lr: 4.3234e-04 eta: 12:59:55 time: 0.4721 data_time: 0.0019 memory: 11161 loss: 0.1798 loss_ctc: 0.1798 2023/01/06 01:08:23 - mmengine - INFO - Epoch(train) [7][4500/7904] lr: 4.3198e-04 eta: 12:59:11 time: 0.4418 data_time: 0.0018 memory: 11161 loss: 0.1617 loss_ctc: 0.1617 2023/01/06 01:08:56 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 01:09:07 - mmengine - INFO - Epoch(train) [7][4600/7904] lr: 4.3162e-04 eta: 12:58:26 time: 0.4621 data_time: 0.0019 memory: 11161 loss: 0.1732 loss_ctc: 0.1732 2023/01/06 01:09:51 - mmengine - INFO - Epoch(train) [7][4700/7904] lr: 4.3126e-04 eta: 12:57:42 time: 0.4759 data_time: 0.0019 memory: 11161 loss: 0.1622 loss_ctc: 0.1622 2023/01/06 01:10:35 - mmengine - INFO - Epoch(train) [7][4800/7904] lr: 4.3090e-04 eta: 12:56:58 time: 0.4137 data_time: 0.0033 memory: 11161 loss: 0.1768 loss_ctc: 0.1768 2023/01/06 01:11:19 - mmengine - INFO - Epoch(train) [7][4900/7904] lr: 4.3054e-04 eta: 12:56:14 time: 0.4448 data_time: 0.0019 memory: 11161 loss: 0.1685 loss_ctc: 0.1685 2023/01/06 01:12:02 - mmengine - INFO - Epoch(train) [7][5000/7904] lr: 4.3018e-04 eta: 12:55:28 time: 0.4500 data_time: 0.0018 memory: 11161 loss: 0.1776 loss_ctc: 0.1776 2023/01/06 01:12:45 - mmengine - INFO - Epoch(train) [7][5100/7904] lr: 4.2982e-04 eta: 12:54:42 time: 0.4212 data_time: 0.0019 memory: 11161 loss: 0.1693 loss_ctc: 0.1693 2023/01/06 01:13:28 - mmengine - INFO - Epoch(train) [7][5200/7904] lr: 4.2945e-04 eta: 12:53:55 time: 0.4217 data_time: 0.0019 memory: 11161 loss: 0.1603 loss_ctc: 0.1603 2023/01/06 01:14:12 - mmengine - INFO - Epoch(train) [7][5300/7904] lr: 4.2909e-04 eta: 12:53:11 time: 0.4255 data_time: 0.0020 memory: 11161 loss: 0.1755 loss_ctc: 0.1755 2023/01/06 01:14:54 - mmengine - INFO - Epoch(train) [7][5400/7904] lr: 4.2872e-04 eta: 12:52:25 time: 0.4037 data_time: 0.0020 memory: 11161 loss: 0.1684 loss_ctc: 0.1684 2023/01/06 01:15:38 - mmengine - INFO - Epoch(train) [7][5500/7904] lr: 4.2836e-04 eta: 12:51:39 time: 0.3891 data_time: 0.0019 memory: 11161 loss: 0.1758 loss_ctc: 0.1758 2023/01/06 01:16:11 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 01:16:21 - mmengine - INFO - Epoch(train) [7][5600/7904] lr: 4.2799e-04 eta: 12:50:54 time: 0.4473 data_time: 0.0018 memory: 11161 loss: 0.1411 loss_ctc: 0.1411 2023/01/06 01:17:04 - mmengine - INFO - Epoch(train) [7][5700/7904] lr: 4.2762e-04 eta: 12:50:08 time: 0.4256 data_time: 0.0019 memory: 11161 loss: 0.1563 loss_ctc: 0.1563 2023/01/06 01:17:46 - mmengine - INFO - Epoch(train) [7][5800/7904] lr: 4.2725e-04 eta: 12:49:20 time: 0.4277 data_time: 0.0019 memory: 11161 loss: 0.1746 loss_ctc: 0.1746 2023/01/06 01:18:30 - mmengine - INFO - Epoch(train) [7][5900/7904] lr: 4.2688e-04 eta: 12:48:34 time: 0.4195 data_time: 0.0020 memory: 11161 loss: 0.1547 loss_ctc: 0.1547 2023/01/06 01:19:15 - mmengine - INFO - Epoch(train) [7][6000/7904] lr: 4.2651e-04 eta: 12:47:53 time: 0.4162 data_time: 0.0019 memory: 11161 loss: 0.1624 loss_ctc: 0.1624 2023/01/06 01:20:00 - mmengine - INFO - Epoch(train) [7][6100/7904] lr: 4.2614e-04 eta: 12:47:11 time: 0.4407 data_time: 0.0020 memory: 11161 loss: 0.1671 loss_ctc: 0.1671 2023/01/06 01:20:43 - mmengine - INFO - Epoch(train) [7][6200/7904] lr: 4.2577e-04 eta: 12:46:25 time: 0.3944 data_time: 0.0036 memory: 11161 loss: 0.1619 loss_ctc: 0.1619 2023/01/06 01:21:27 - mmengine - INFO - Epoch(train) [7][6300/7904] lr: 4.2540e-04 eta: 12:45:41 time: 0.4596 data_time: 0.0019 memory: 11161 loss: 0.1818 loss_ctc: 0.1818 2023/01/06 01:22:10 - mmengine - INFO - Epoch(train) [7][6400/7904] lr: 4.2503e-04 eta: 12:44:54 time: 0.4101 data_time: 0.0019 memory: 11161 loss: 0.1760 loss_ctc: 0.1760 2023/01/06 01:22:54 - mmengine - INFO - Epoch(train) [7][6500/7904] lr: 4.2465e-04 eta: 12:44:11 time: 0.4676 data_time: 0.0019 memory: 11161 loss: 0.1649 loss_ctc: 0.1649 2023/01/06 01:23:27 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 01:23:38 - mmengine - INFO - Epoch(train) [7][6600/7904] lr: 4.2428e-04 eta: 12:43:27 time: 0.4410 data_time: 0.0019 memory: 11161 loss: 0.1692 loss_ctc: 0.1692 2023/01/06 01:24:23 - mmengine - INFO - Epoch(train) [7][6700/7904] lr: 4.2390e-04 eta: 12:42:45 time: 0.4424 data_time: 0.0019 memory: 11161 loss: 0.1615 loss_ctc: 0.1615 2023/01/06 01:25:08 - mmengine - INFO - Epoch(train) [7][6800/7904] lr: 4.2353e-04 eta: 12:42:02 time: 0.4452 data_time: 0.0019 memory: 11161 loss: 0.1582 loss_ctc: 0.1582 2023/01/06 01:25:51 - mmengine - INFO - Epoch(train) [7][6900/7904] lr: 4.2315e-04 eta: 12:41:16 time: 0.4194 data_time: 0.0019 memory: 11161 loss: 0.1626 loss_ctc: 0.1626 2023/01/06 01:26:36 - mmengine - INFO - Epoch(train) [7][7000/7904] lr: 4.2277e-04 eta: 12:40:34 time: 0.5177 data_time: 0.0021 memory: 11161 loss: 0.1700 loss_ctc: 0.1700 2023/01/06 01:27:22 - mmengine - INFO - Epoch(train) [7][7100/7904] lr: 4.2239e-04 eta: 12:39:53 time: 0.5007 data_time: 0.0020 memory: 11161 loss: 0.1592 loss_ctc: 0.1592 2023/01/06 01:28:06 - mmengine - INFO - Epoch(train) [7][7200/7904] lr: 4.2201e-04 eta: 12:39:10 time: 0.4261 data_time: 0.0018 memory: 11161 loss: 0.1620 loss_ctc: 0.1620 2023/01/06 01:28:50 - mmengine - INFO - Epoch(train) [7][7300/7904] lr: 4.2163e-04 eta: 12:38:25 time: 0.4469 data_time: 0.0020 memory: 11161 loss: 0.1591 loss_ctc: 0.1591 2023/01/06 01:29:34 - mmengine - INFO - Epoch(train) [7][7400/7904] lr: 4.2125e-04 eta: 12:37:41 time: 0.4406 data_time: 0.0018 memory: 11161 loss: 0.1593 loss_ctc: 0.1593 2023/01/06 01:30:19 - mmengine - INFO - Epoch(train) [7][7500/7904] lr: 4.2087e-04 eta: 12:36:59 time: 0.4548 data_time: 0.0019 memory: 11161 loss: 0.1762 loss_ctc: 0.1762 2023/01/06 01:30:52 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 01:31:04 - mmengine - INFO - Epoch(train) [7][7600/7904] lr: 4.2049e-04 eta: 12:36:16 time: 0.4732 data_time: 0.0018 memory: 11161 loss: 0.1678 loss_ctc: 0.1678 2023/01/06 01:31:49 - mmengine - INFO - Epoch(train) [7][7700/7904] lr: 4.2011e-04 eta: 12:35:34 time: 0.4586 data_time: 0.0020 memory: 11161 loss: 0.1738 loss_ctc: 0.1738 2023/01/06 01:32:32 - mmengine - INFO - Epoch(train) [7][7800/7904] lr: 4.1972e-04 eta: 12:34:49 time: 0.4497 data_time: 0.0019 memory: 11161 loss: 0.1585 loss_ctc: 0.1585 2023/01/06 01:33:10 - mmengine - INFO - Epoch(train) [7][7900/7904] lr: 4.1934e-04 eta: 12:33:54 time: 0.3165 data_time: 0.0016 memory: 11161 loss: 0.1678 loss_ctc: 0.1678 2023/01/06 01:33:11 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 01:33:11 - mmengine - INFO - Saving checkpoint at 7 epochs 2023/01/06 01:33:14 - mmengine - INFO - Epoch(val) [7][15/15] CUTE80/recog/word_acc: 0.1667 CUTE80/recog/word_acc_ignore_case: 0.8472 CUTE80/recog/word_acc_ignore_case_symbol: 0.8472 IIIT5K/recog/word_acc: 0.0630 IIIT5K/recog/word_acc_ignore_case: 0.8353 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8353 SVT/recog/word_acc: 0.8810 SVT/recog/word_acc_ignore_case: 0.8810 SVT/recog/word_acc_ignore_case_symbol: 0.8810 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8000 SVTP/recog/word_acc_ignore_case_symbol: 0.8000 IC13/recog/word_acc: 0.2857 IC13/recog/word_acc_ignore_case: 0.9182 IC13/recog/word_acc_ignore_case_symbol: 0.9182 IC15/recog/word_acc: 0.1136 IC15/recog/word_acc_ignore_case: 0.7020 IC15/recog/word_acc_ignore_case_symbol: 0.7087 CUTE80/recog/char_recall: 0.9322 CUTE80/recog/char_precision: 0.9387 IIIT5K/recog/char_recall: 0.9804 IIIT5K/recog/char_precision: 0.9027 SVT/recog/char_recall: 0.9726 SVT/recog/char_precision: 0.9617 SVTP/recog/char_recall: 0.9271 SVTP/recog/char_precision: 0.9448 IC13/recog/char_recall: 0.9857 IC13/recog/char_precision: 0.9672 IC15/recog/char_recall: 0.9175 IC15/recog/char_precision: 0.8819 2023/01/06 01:34:14 - mmengine - INFO - Epoch(train) [8][ 100/7904] lr: 4.1894e-04 eta: 12:33:36 time: 0.4492 data_time: 0.0018 memory: 11161 loss: 0.1732 loss_ctc: 0.1732 2023/01/06 01:34:58 - mmengine - INFO - Epoch(train) [8][ 200/7904] lr: 4.1855e-04 eta: 12:32:53 time: 0.4728 data_time: 0.0018 memory: 11161 loss: 0.1657 loss_ctc: 0.1657 2023/01/06 01:35:43 - mmengine - INFO - Epoch(train) [8][ 300/7904] lr: 4.1817e-04 eta: 12:32:10 time: 0.4361 data_time: 0.0018 memory: 11161 loss: 0.1485 loss_ctc: 0.1485 2023/01/06 01:36:28 - mmengine - INFO - Epoch(train) [8][ 400/7904] lr: 4.1778e-04 eta: 12:31:28 time: 0.4476 data_time: 0.0019 memory: 11161 loss: 0.1627 loss_ctc: 0.1627 2023/01/06 01:37:10 - mmengine - INFO - Epoch(train) [8][ 500/7904] lr: 4.1739e-04 eta: 12:30:41 time: 0.4039 data_time: 0.0019 memory: 11161 loss: 0.1588 loss_ctc: 0.1588 2023/01/06 01:37:53 - mmengine - INFO - Epoch(train) [8][ 600/7904] lr: 4.1700e-04 eta: 12:29:54 time: 0.4381 data_time: 0.0020 memory: 11161 loss: 0.1713 loss_ctc: 0.1713 2023/01/06 01:38:25 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 01:38:37 - mmengine - INFO - Epoch(train) [8][ 700/7904] lr: 4.1661e-04 eta: 12:29:10 time: 0.4497 data_time: 0.0020 memory: 11161 loss: 0.1642 loss_ctc: 0.1642 2023/01/06 01:39:21 - mmengine - INFO - Epoch(train) [8][ 800/7904] lr: 4.1622e-04 eta: 12:28:25 time: 0.4052 data_time: 0.0019 memory: 11161 loss: 0.1641 loss_ctc: 0.1641 2023/01/06 01:40:05 - mmengine - INFO - Epoch(train) [8][ 900/7904] lr: 4.1583e-04 eta: 12:27:41 time: 0.4236 data_time: 0.0019 memory: 11161 loss: 0.1755 loss_ctc: 0.1755 2023/01/06 01:40:48 - mmengine - INFO - Epoch(train) [8][1000/7904] lr: 4.1544e-04 eta: 12:26:57 time: 0.4099 data_time: 0.0019 memory: 11161 loss: 0.1596 loss_ctc: 0.1596 2023/01/06 01:41:33 - mmengine - INFO - Epoch(train) [8][1100/7904] lr: 4.1505e-04 eta: 12:26:14 time: 0.4730 data_time: 0.0019 memory: 11161 loss: 0.1579 loss_ctc: 0.1579 2023/01/06 01:42:18 - mmengine - INFO - Epoch(train) [8][1200/7904] lr: 4.1465e-04 eta: 12:25:31 time: 0.4525 data_time: 0.0019 memory: 11161 loss: 0.1558 loss_ctc: 0.1558 2023/01/06 01:43:01 - mmengine - INFO - Epoch(train) [8][1300/7904] lr: 4.1426e-04 eta: 12:24:46 time: 0.4350 data_time: 0.0018 memory: 11161 loss: 0.1529 loss_ctc: 0.1529 2023/01/06 01:43:46 - mmengine - INFO - Epoch(train) [8][1400/7904] lr: 4.1387e-04 eta: 12:24:03 time: 0.4242 data_time: 0.0019 memory: 11161 loss: 0.1601 loss_ctc: 0.1601 2023/01/06 01:44:31 - mmengine - INFO - Epoch(train) [8][1500/7904] lr: 4.1347e-04 eta: 12:23:19 time: 0.4119 data_time: 0.0020 memory: 11161 loss: 0.1639 loss_ctc: 0.1639 2023/01/06 01:45:15 - mmengine - INFO - Epoch(train) [8][1600/7904] lr: 4.1307e-04 eta: 12:22:36 time: 0.4398 data_time: 0.0019 memory: 11161 loss: 0.1714 loss_ctc: 0.1714 2023/01/06 01:45:47 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 01:46:00 - mmengine - INFO - Epoch(train) [8][1700/7904] lr: 4.1268e-04 eta: 12:21:53 time: 0.4609 data_time: 0.0019 memory: 11161 loss: 0.1436 loss_ctc: 0.1436 2023/01/06 01:46:43 - mmengine - INFO - Epoch(train) [8][1800/7904] lr: 4.1228e-04 eta: 12:21:08 time: 0.4399 data_time: 0.0018 memory: 11161 loss: 0.1736 loss_ctc: 0.1736 2023/01/06 01:47:28 - mmengine - INFO - Epoch(train) [8][1900/7904] lr: 4.1188e-04 eta: 12:20:25 time: 0.4400 data_time: 0.0019 memory: 11161 loss: 0.1525 loss_ctc: 0.1525 2023/01/06 01:48:11 - mmengine - INFO - Epoch(train) [8][2000/7904] lr: 4.1148e-04 eta: 12:19:39 time: 0.4315 data_time: 0.0019 memory: 11161 loss: 0.1600 loss_ctc: 0.1600 2023/01/06 01:48:53 - mmengine - INFO - Epoch(train) [8][2100/7904] lr: 4.1108e-04 eta: 12:18:53 time: 0.4320 data_time: 0.0020 memory: 11161 loss: 0.1386 loss_ctc: 0.1386 2023/01/06 01:49:35 - mmengine - INFO - Epoch(train) [8][2200/7904] lr: 4.1068e-04 eta: 12:18:05 time: 0.4246 data_time: 0.0020 memory: 11161 loss: 0.1664 loss_ctc: 0.1664 2023/01/06 01:50:19 - mmengine - INFO - Epoch(train) [8][2300/7904] lr: 4.1028e-04 eta: 12:17:20 time: 0.4133 data_time: 0.0019 memory: 11161 loss: 0.1637 loss_ctc: 0.1637 2023/01/06 01:51:04 - mmengine - INFO - Epoch(train) [8][2400/7904] lr: 4.0988e-04 eta: 12:16:37 time: 0.4145 data_time: 0.0019 memory: 11161 loss: 0.1668 loss_ctc: 0.1668 2023/01/06 01:51:46 - mmengine - INFO - Epoch(train) [8][2500/7904] lr: 4.0948e-04 eta: 12:15:51 time: 0.4596 data_time: 0.0018 memory: 11161 loss: 0.1760 loss_ctc: 0.1760 2023/01/06 01:52:31 - mmengine - INFO - Epoch(train) [8][2600/7904] lr: 4.0907e-04 eta: 12:15:07 time: 0.4319 data_time: 0.0019 memory: 11161 loss: 0.1544 loss_ctc: 0.1544 2023/01/06 01:53:03 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 01:53:16 - mmengine - INFO - Epoch(train) [8][2700/7904] lr: 4.0867e-04 eta: 12:14:24 time: 0.4645 data_time: 0.0020 memory: 11161 loss: 0.1550 loss_ctc: 0.1550 2023/01/06 01:53:58 - mmengine - INFO - Epoch(train) [8][2800/7904] lr: 4.0827e-04 eta: 12:13:38 time: 0.4049 data_time: 0.0019 memory: 11161 loss: 0.1765 loss_ctc: 0.1765 2023/01/06 01:54:42 - mmengine - INFO - Epoch(train) [8][2900/7904] lr: 4.0786e-04 eta: 12:12:53 time: 0.4484 data_time: 0.0018 memory: 11161 loss: 0.1745 loss_ctc: 0.1745 2023/01/06 01:55:26 - mmengine - INFO - Epoch(train) [8][3000/7904] lr: 4.0746e-04 eta: 12:12:09 time: 0.4436 data_time: 0.0019 memory: 11161 loss: 0.1690 loss_ctc: 0.1690 2023/01/06 01:56:11 - mmengine - INFO - Epoch(train) [8][3100/7904] lr: 4.0705e-04 eta: 12:11:27 time: 0.4579 data_time: 0.0019 memory: 11161 loss: 0.1597 loss_ctc: 0.1597 2023/01/06 01:56:56 - mmengine - INFO - Epoch(train) [8][3200/7904] lr: 4.0664e-04 eta: 12:10:44 time: 0.4097 data_time: 0.0019 memory: 11161 loss: 0.1504 loss_ctc: 0.1504 2023/01/06 01:57:39 - mmengine - INFO - Epoch(train) [8][3300/7904] lr: 4.0623e-04 eta: 12:09:59 time: 0.4129 data_time: 0.0019 memory: 11161 loss: 0.1588 loss_ctc: 0.1588 2023/01/06 01:58:22 - mmengine - INFO - Epoch(train) [8][3400/7904] lr: 4.0583e-04 eta: 12:09:13 time: 0.4349 data_time: 0.0018 memory: 11161 loss: 0.1739 loss_ctc: 0.1739 2023/01/06 01:59:06 - mmengine - INFO - Epoch(train) [8][3500/7904] lr: 4.0542e-04 eta: 12:08:29 time: 0.4385 data_time: 0.0020 memory: 11161 loss: 0.1583 loss_ctc: 0.1583 2023/01/06 01:59:50 - mmengine - INFO - Epoch(train) [8][3600/7904] lr: 4.0501e-04 eta: 12:07:45 time: 0.4548 data_time: 0.0019 memory: 11161 loss: 0.1584 loss_ctc: 0.1584 2023/01/06 02:00:24 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 02:00:37 - mmengine - INFO - Epoch(train) [8][3700/7904] lr: 4.0460e-04 eta: 12:07:05 time: 0.4405 data_time: 0.0019 memory: 11161 loss: 0.1808 loss_ctc: 0.1808 2023/01/06 02:01:21 - mmengine - INFO - Epoch(train) [8][3800/7904] lr: 4.0418e-04 eta: 12:06:22 time: 0.4381 data_time: 0.0020 memory: 11161 loss: 0.1586 loss_ctc: 0.1586 2023/01/06 02:02:07 - mmengine - INFO - Epoch(train) [8][3900/7904] lr: 4.0377e-04 eta: 12:05:40 time: 0.4495 data_time: 0.0019 memory: 11161 loss: 0.1660 loss_ctc: 0.1660 2023/01/06 02:02:50 - mmengine - INFO - Epoch(train) [8][4000/7904] lr: 4.0336e-04 eta: 12:04:54 time: 0.4550 data_time: 0.0019 memory: 11161 loss: 0.1600 loss_ctc: 0.1600 2023/01/06 02:03:34 - mmengine - INFO - Epoch(train) [8][4100/7904] lr: 4.0295e-04 eta: 12:04:10 time: 0.4538 data_time: 0.0019 memory: 11161 loss: 0.1575 loss_ctc: 0.1575 2023/01/06 02:04:20 - mmengine - INFO - Epoch(train) [8][4200/7904] lr: 4.0253e-04 eta: 12:03:29 time: 0.4793 data_time: 0.0019 memory: 11161 loss: 0.1580 loss_ctc: 0.1580 2023/01/06 02:05:04 - mmengine - INFO - Epoch(train) [8][4300/7904] lr: 4.0212e-04 eta: 12:02:45 time: 0.4338 data_time: 0.0019 memory: 11161 loss: 0.1518 loss_ctc: 0.1518 2023/01/06 02:05:47 - mmengine - INFO - Epoch(train) [8][4400/7904] lr: 4.0170e-04 eta: 12:01:59 time: 0.4267 data_time: 0.0019 memory: 11161 loss: 0.1615 loss_ctc: 0.1615 2023/01/06 02:06:30 - mmengine - INFO - Epoch(train) [8][4500/7904] lr: 4.0129e-04 eta: 12:01:13 time: 0.4841 data_time: 0.0019 memory: 11161 loss: 0.1624 loss_ctc: 0.1624 2023/01/06 02:07:15 - mmengine - INFO - Epoch(train) [8][4600/7904] lr: 4.0087e-04 eta: 12:00:30 time: 0.4633 data_time: 0.0019 memory: 11161 loss: 0.1701 loss_ctc: 0.1701 2023/01/06 02:07:47 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 02:07:59 - mmengine - INFO - Epoch(train) [8][4700/7904] lr: 4.0045e-04 eta: 11:59:48 time: 0.4661 data_time: 0.0019 memory: 11161 loss: 0.1558 loss_ctc: 0.1558 2023/01/06 02:08:44 - mmengine - INFO - Epoch(train) [8][4800/7904] lr: 4.0003e-04 eta: 11:59:05 time: 0.4301 data_time: 0.0022 memory: 11161 loss: 0.1605 loss_ctc: 0.1605 2023/01/06 02:09:30 - mmengine - INFO - Epoch(train) [8][4900/7904] lr: 3.9961e-04 eta: 11:58:23 time: 0.4369 data_time: 0.0020 memory: 11161 loss: 0.1644 loss_ctc: 0.1644 2023/01/06 02:10:15 - mmengine - INFO - Epoch(train) [8][5000/7904] lr: 3.9920e-04 eta: 11:57:41 time: 0.4751 data_time: 0.0020 memory: 11161 loss: 0.1700 loss_ctc: 0.1700 2023/01/06 02:10:58 - mmengine - INFO - Epoch(train) [8][5100/7904] lr: 3.9878e-04 eta: 11:56:56 time: 0.3960 data_time: 0.0023 memory: 11161 loss: 0.1638 loss_ctc: 0.1638 2023/01/06 02:11:43 - mmengine - INFO - Epoch(train) [8][5200/7904] lr: 3.9836e-04 eta: 11:56:12 time: 0.4554 data_time: 0.0020 memory: 11161 loss: 0.1725 loss_ctc: 0.1725 2023/01/06 02:12:28 - mmengine - INFO - Epoch(train) [8][5300/7904] lr: 3.9793e-04 eta: 11:55:30 time: 0.4127 data_time: 0.0019 memory: 11161 loss: 0.1490 loss_ctc: 0.1490 2023/01/06 02:13:11 - mmengine - INFO - Epoch(train) [8][5400/7904] lr: 3.9751e-04 eta: 11:54:45 time: 0.4131 data_time: 0.0019 memory: 11161 loss: 0.1525 loss_ctc: 0.1525 2023/01/06 02:13:55 - mmengine - INFO - Epoch(train) [8][5500/7904] lr: 3.9709e-04 eta: 11:54:01 time: 0.4304 data_time: 0.0019 memory: 11161 loss: 0.1576 loss_ctc: 0.1576 2023/01/06 02:14:40 - mmengine - INFO - Epoch(train) [8][5600/7904] lr: 3.9667e-04 eta: 11:53:18 time: 0.4958 data_time: 0.0019 memory: 11161 loss: 0.1709 loss_ctc: 0.1709 2023/01/06 02:15:13 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 02:15:26 - mmengine - INFO - Epoch(train) [8][5700/7904] lr: 3.9624e-04 eta: 11:52:36 time: 0.4547 data_time: 0.0019 memory: 11161 loss: 0.1705 loss_ctc: 0.1705 2023/01/06 02:16:10 - mmengine - INFO - Epoch(train) [8][5800/7904] lr: 3.9582e-04 eta: 11:51:52 time: 0.4248 data_time: 0.0019 memory: 11161 loss: 0.1539 loss_ctc: 0.1539 2023/01/06 02:16:55 - mmengine - INFO - Epoch(train) [8][5900/7904] lr: 3.9539e-04 eta: 11:51:09 time: 0.4435 data_time: 0.0018 memory: 11161 loss: 0.1562 loss_ctc: 0.1562 2023/01/06 02:17:40 - mmengine - INFO - Epoch(train) [8][6000/7904] lr: 3.9497e-04 eta: 11:50:27 time: 0.4633 data_time: 0.0019 memory: 11161 loss: 0.1610 loss_ctc: 0.1610 2023/01/06 02:18:25 - mmengine - INFO - Epoch(train) [8][6100/7904] lr: 3.9454e-04 eta: 11:49:44 time: 0.4851 data_time: 0.0021 memory: 11161 loss: 0.1898 loss_ctc: 0.1898 2023/01/06 02:19:08 - mmengine - INFO - Epoch(train) [8][6200/7904] lr: 3.9411e-04 eta: 11:48:59 time: 0.4457 data_time: 0.0019 memory: 11161 loss: 0.1692 loss_ctc: 0.1692 2023/01/06 02:19:52 - mmengine - INFO - Epoch(train) [8][6300/7904] lr: 3.9369e-04 eta: 11:48:14 time: 0.4531 data_time: 0.0020 memory: 11161 loss: 0.1547 loss_ctc: 0.1547 2023/01/06 02:20:36 - mmengine - INFO - Epoch(train) [8][6400/7904] lr: 3.9326e-04 eta: 11:47:31 time: 0.4501 data_time: 0.0035 memory: 11161 loss: 0.1570 loss_ctc: 0.1570 2023/01/06 02:21:21 - mmengine - INFO - Epoch(train) [8][6500/7904] lr: 3.9283e-04 eta: 11:46:48 time: 0.4602 data_time: 0.0019 memory: 11161 loss: 0.1553 loss_ctc: 0.1553 2023/01/06 02:22:04 - mmengine - INFO - Epoch(train) [8][6600/7904] lr: 3.9240e-04 eta: 11:46:01 time: 0.4108 data_time: 0.0019 memory: 11161 loss: 0.1504 loss_ctc: 0.1504 2023/01/06 02:22:34 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 02:22:46 - mmengine - INFO - Epoch(train) [8][6700/7904] lr: 3.9197e-04 eta: 11:45:15 time: 0.3941 data_time: 0.0019 memory: 11161 loss: 0.1659 loss_ctc: 0.1659 2023/01/06 02:23:29 - mmengine - INFO - Epoch(train) [8][6800/7904] lr: 3.9154e-04 eta: 11:44:29 time: 0.4271 data_time: 0.0020 memory: 11161 loss: 0.1545 loss_ctc: 0.1545 2023/01/06 02:24:13 - mmengine - INFO - Epoch(train) [8][6900/7904] lr: 3.9111e-04 eta: 11:43:44 time: 0.3943 data_time: 0.0018 memory: 11161 loss: 0.1526 loss_ctc: 0.1526 2023/01/06 02:24:55 - mmengine - INFO - Epoch(train) [8][7000/7904] lr: 3.9067e-04 eta: 11:42:58 time: 0.4193 data_time: 0.0020 memory: 11161 loss: 0.1534 loss_ctc: 0.1534 2023/01/06 02:25:39 - mmengine - INFO - Epoch(train) [8][7100/7904] lr: 3.9024e-04 eta: 11:42:13 time: 0.4649 data_time: 0.0020 memory: 11161 loss: 0.1508 loss_ctc: 0.1508 2023/01/06 02:26:23 - mmengine - INFO - Epoch(train) [8][7200/7904] lr: 3.8981e-04 eta: 11:41:30 time: 0.4688 data_time: 0.0020 memory: 11161 loss: 0.1530 loss_ctc: 0.1530 2023/01/06 02:27:07 - mmengine - INFO - Epoch(train) [8][7300/7904] lr: 3.8937e-04 eta: 11:40:45 time: 0.4300 data_time: 0.0019 memory: 11161 loss: 0.1798 loss_ctc: 0.1798 2023/01/06 02:27:51 - mmengine - INFO - Epoch(train) [8][7400/7904] lr: 3.8894e-04 eta: 11:40:01 time: 0.4520 data_time: 0.0019 memory: 11161 loss: 0.1607 loss_ctc: 0.1607 2023/01/06 02:28:36 - mmengine - INFO - Epoch(train) [8][7500/7904] lr: 3.8851e-04 eta: 11:39:18 time: 0.3881 data_time: 0.0020 memory: 11161 loss: 0.1688 loss_ctc: 0.1688 2023/01/06 02:29:20 - mmengine - INFO - Epoch(train) [8][7600/7904] lr: 3.8807e-04 eta: 11:38:35 time: 0.4588 data_time: 0.0020 memory: 11161 loss: 0.1656 loss_ctc: 0.1656 2023/01/06 02:29:52 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 02:30:05 - mmengine - INFO - Epoch(train) [8][7700/7904] lr: 3.8763e-04 eta: 11:37:52 time: 0.4519 data_time: 0.0019 memory: 11161 loss: 0.1571 loss_ctc: 0.1571 2023/01/06 02:30:49 - mmengine - INFO - Epoch(train) [8][7800/7904] lr: 3.8720e-04 eta: 11:37:07 time: 0.3890 data_time: 0.0019 memory: 11161 loss: 0.1500 loss_ctc: 0.1500 2023/01/06 02:31:29 - mmengine - INFO - Epoch(train) [8][7900/7904] lr: 3.8676e-04 eta: 11:36:17 time: 0.3176 data_time: 0.0014 memory: 11161 loss: 0.1623 loss_ctc: 0.1623 2023/01/06 02:31:30 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 02:31:30 - mmengine - INFO - Saving checkpoint at 8 epochs 2023/01/06 02:31:32 - mmengine - INFO - Epoch(val) [8][15/15] CUTE80/recog/word_acc: 0.1667 CUTE80/recog/word_acc_ignore_case: 0.8507 CUTE80/recog/word_acc_ignore_case_symbol: 0.8507 IIIT5K/recog/word_acc: 0.0643 IIIT5K/recog/word_acc_ignore_case: 0.8343 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8343 SVT/recog/word_acc: 0.8918 SVT/recog/word_acc_ignore_case: 0.8918 SVT/recog/word_acc_ignore_case_symbol: 0.8918 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8062 SVTP/recog/word_acc_ignore_case_symbol: 0.8062 IC13/recog/word_acc: 0.2837 IC13/recog/word_acc_ignore_case: 0.9251 IC13/recog/word_acc_ignore_case_symbol: 0.9251 IC15/recog/word_acc: 0.1141 IC15/recog/word_acc_ignore_case: 0.7068 IC15/recog/word_acc_ignore_case_symbol: 0.7116 CUTE80/recog/char_recall: 0.9341 CUTE80/recog/char_precision: 0.9335 IIIT5K/recog/char_recall: 0.9794 IIIT5K/recog/char_precision: 0.9054 SVT/recog/char_recall: 0.9752 SVT/recog/char_precision: 0.9628 SVTP/recog/char_recall: 0.9269 SVTP/recog/char_precision: 0.9443 IC13/recog/char_recall: 0.9857 IC13/recog/char_precision: 0.9749 IC15/recog/char_recall: 0.9162 IC15/recog/char_precision: 0.8874 2023/01/06 02:32:29 - mmengine - INFO - Epoch(train) [9][ 100/7904] lr: 3.8630e-04 eta: 11:35:50 time: 0.4216 data_time: 0.0018 memory: 11161 loss: 0.1662 loss_ctc: 0.1662 2023/01/06 02:33:14 - mmengine - INFO - Epoch(train) [9][ 200/7904] lr: 3.8586e-04 eta: 11:35:07 time: 0.4246 data_time: 0.0020 memory: 11161 loss: 0.1448 loss_ctc: 0.1448 2023/01/06 02:33:58 - mmengine - INFO - Epoch(train) [9][ 300/7904] lr: 3.8543e-04 eta: 11:34:22 time: 0.4084 data_time: 0.0019 memory: 11161 loss: 0.1678 loss_ctc: 0.1678 2023/01/06 02:34:40 - mmengine - INFO - Epoch(train) [9][ 400/7904] lr: 3.8499e-04 eta: 11:33:36 time: 0.4113 data_time: 0.0020 memory: 11161 loss: 0.1357 loss_ctc: 0.1357 2023/01/06 02:35:22 - mmengine - INFO - Epoch(train) [9][ 500/7904] lr: 3.8454e-04 eta: 11:32:49 time: 0.4263 data_time: 0.0019 memory: 11161 loss: 0.1579 loss_ctc: 0.1579 2023/01/06 02:36:05 - mmengine - INFO - Epoch(train) [9][ 600/7904] lr: 3.8410e-04 eta: 11:32:03 time: 0.4099 data_time: 0.0020 memory: 11161 loss: 0.1611 loss_ctc: 0.1611 2023/01/06 02:36:51 - mmengine - INFO - Epoch(train) [9][ 700/7904] lr: 3.8366e-04 eta: 11:31:21 time: 0.5022 data_time: 0.0020 memory: 11161 loss: 0.1577 loss_ctc: 0.1577 2023/01/06 02:37:23 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 02:37:37 - mmengine - INFO - Epoch(train) [9][ 800/7904] lr: 3.8322e-04 eta: 11:30:40 time: 0.4238 data_time: 0.0019 memory: 11161 loss: 0.1608 loss_ctc: 0.1608 2023/01/06 02:38:21 - mmengine - INFO - Epoch(train) [9][ 900/7904] lr: 3.8278e-04 eta: 11:29:56 time: 0.4377 data_time: 0.0021 memory: 11161 loss: 0.1418 loss_ctc: 0.1418 2023/01/06 02:39:05 - mmengine - INFO - Epoch(train) [9][1000/7904] lr: 3.8233e-04 eta: 11:29:12 time: 0.4321 data_time: 0.0019 memory: 11161 loss: 0.1520 loss_ctc: 0.1520 2023/01/06 02:39:49 - mmengine - INFO - Epoch(train) [9][1100/7904] lr: 3.8189e-04 eta: 11:28:28 time: 0.4042 data_time: 0.0019 memory: 11161 loss: 0.1567 loss_ctc: 0.1567 2023/01/06 02:40:31 - mmengine - INFO - Epoch(train) [9][1200/7904] lr: 3.8145e-04 eta: 11:27:41 time: 0.4065 data_time: 0.0019 memory: 11161 loss: 0.1510 loss_ctc: 0.1510 2023/01/06 02:41:13 - mmengine - INFO - Epoch(train) [9][1300/7904] lr: 3.8100e-04 eta: 11:26:53 time: 0.4174 data_time: 0.0019 memory: 11161 loss: 0.1740 loss_ctc: 0.1740 2023/01/06 02:41:56 - mmengine - INFO - Epoch(train) [9][1400/7904] lr: 3.8055e-04 eta: 11:26:07 time: 0.3830 data_time: 0.0020 memory: 11161 loss: 0.1467 loss_ctc: 0.1467 2023/01/06 02:42:39 - mmengine - INFO - Epoch(train) [9][1500/7904] lr: 3.8011e-04 eta: 11:25:22 time: 0.4588 data_time: 0.0019 memory: 11161 loss: 0.1498 loss_ctc: 0.1498 2023/01/06 02:43:22 - mmengine - INFO - Epoch(train) [9][1600/7904] lr: 3.7966e-04 eta: 11:24:37 time: 0.5067 data_time: 0.0021 memory: 11161 loss: 0.1553 loss_ctc: 0.1553 2023/01/06 02:44:06 - mmengine - INFO - Epoch(train) [9][1700/7904] lr: 3.7921e-04 eta: 11:23:53 time: 0.4539 data_time: 0.0020 memory: 11161 loss: 0.1568 loss_ctc: 0.1568 2023/01/06 02:44:34 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 02:44:48 - mmengine - INFO - Epoch(train) [9][1800/7904] lr: 3.7877e-04 eta: 11:23:05 time: 0.4344 data_time: 0.0019 memory: 11161 loss: 0.1488 loss_ctc: 0.1488 2023/01/06 02:45:33 - mmengine - INFO - Epoch(train) [9][1900/7904] lr: 3.7832e-04 eta: 11:22:23 time: 0.4565 data_time: 0.0019 memory: 11161 loss: 0.1565 loss_ctc: 0.1565 2023/01/06 02:46:17 - mmengine - INFO - Epoch(train) [9][2000/7904] lr: 3.7787e-04 eta: 11:21:38 time: 0.4690 data_time: 0.0020 memory: 11161 loss: 0.1534 loss_ctc: 0.1534 2023/01/06 02:47:00 - mmengine - INFO - Epoch(train) [9][2100/7904] lr: 3.7742e-04 eta: 11:20:53 time: 0.3965 data_time: 0.0019 memory: 11161 loss: 0.1487 loss_ctc: 0.1487 2023/01/06 02:47:43 - mmengine - INFO - Epoch(train) [9][2200/7904] lr: 3.7697e-04 eta: 11:20:08 time: 0.3937 data_time: 0.0020 memory: 11161 loss: 0.1674 loss_ctc: 0.1674 2023/01/06 02:48:28 - mmengine - INFO - Epoch(train) [9][2300/7904] lr: 3.7652e-04 eta: 11:19:25 time: 0.4390 data_time: 0.0019 memory: 11161 loss: 0.1567 loss_ctc: 0.1567 2023/01/06 02:49:12 - mmengine - INFO - Epoch(train) [9][2400/7904] lr: 3.7607e-04 eta: 11:18:40 time: 0.4714 data_time: 0.0019 memory: 11161 loss: 0.1390 loss_ctc: 0.1390 2023/01/06 02:49:58 - mmengine - INFO - Epoch(train) [9][2500/7904] lr: 3.7561e-04 eta: 11:17:59 time: 0.4769 data_time: 0.0020 memory: 11161 loss: 0.1633 loss_ctc: 0.1633 2023/01/06 02:50:42 - mmengine - INFO - Epoch(train) [9][2600/7904] lr: 3.7516e-04 eta: 11:17:15 time: 0.4484 data_time: 0.0020 memory: 11161 loss: 0.1371 loss_ctc: 0.1371 2023/01/06 02:51:26 - mmengine - INFO - Epoch(train) [9][2700/7904] lr: 3.7471e-04 eta: 11:16:31 time: 0.4423 data_time: 0.0020 memory: 11161 loss: 0.1376 loss_ctc: 0.1376 2023/01/06 02:51:56 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 02:52:11 - mmengine - INFO - Epoch(train) [9][2800/7904] lr: 3.7425e-04 eta: 11:15:47 time: 0.4209 data_time: 0.0019 memory: 11161 loss: 0.1476 loss_ctc: 0.1476 2023/01/06 02:52:56 - mmengine - INFO - Epoch(train) [9][2900/7904] lr: 3.7380e-04 eta: 11:15:05 time: 0.4426 data_time: 0.0019 memory: 11161 loss: 0.1489 loss_ctc: 0.1489 2023/01/06 02:53:40 - mmengine - INFO - Epoch(train) [9][3000/7904] lr: 3.7335e-04 eta: 11:14:21 time: 0.4367 data_time: 0.0019 memory: 11161 loss: 0.1555 loss_ctc: 0.1555 2023/01/06 02:54:26 - mmengine - INFO - Epoch(train) [9][3100/7904] lr: 3.7289e-04 eta: 11:13:39 time: 0.4801 data_time: 0.0020 memory: 11161 loss: 0.1488 loss_ctc: 0.1488 2023/01/06 02:55:09 - mmengine - INFO - Epoch(train) [9][3200/7904] lr: 3.7244e-04 eta: 11:12:54 time: 0.4377 data_time: 0.0019 memory: 11161 loss: 0.1501 loss_ctc: 0.1501 2023/01/06 02:55:51 - mmengine - INFO - Epoch(train) [9][3300/7904] lr: 3.7198e-04 eta: 11:12:07 time: 0.4014 data_time: 0.0019 memory: 11161 loss: 0.1455 loss_ctc: 0.1455 2023/01/06 02:56:31 - mmengine - INFO - Epoch(train) [9][3400/7904] lr: 3.7152e-04 eta: 11:11:18 time: 0.4387 data_time: 0.0019 memory: 11161 loss: 0.1485 loss_ctc: 0.1485 2023/01/06 02:57:13 - mmengine - INFO - Epoch(train) [9][3500/7904] lr: 3.7107e-04 eta: 11:10:31 time: 0.4464 data_time: 0.0019 memory: 11161 loss: 0.1564 loss_ctc: 0.1564 2023/01/06 02:57:57 - mmengine - INFO - Epoch(train) [9][3600/7904] lr: 3.7061e-04 eta: 11:09:46 time: 0.4523 data_time: 0.0019 memory: 11161 loss: 0.1577 loss_ctc: 0.1577 2023/01/06 02:58:40 - mmengine - INFO - Epoch(train) [9][3700/7904] lr: 3.7015e-04 eta: 11:09:02 time: 0.3884 data_time: 0.0019 memory: 11161 loss: 0.1588 loss_ctc: 0.1588 2023/01/06 02:59:10 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 02:59:24 - mmengine - INFO - Epoch(train) [9][3800/7904] lr: 3.6969e-04 eta: 11:08:17 time: 0.4456 data_time: 0.0018 memory: 11161 loss: 0.1447 loss_ctc: 0.1447 2023/01/06 03:00:09 - mmengine - INFO - Epoch(train) [9][3900/7904] lr: 3.6923e-04 eta: 11:07:33 time: 0.4587 data_time: 0.0019 memory: 11161 loss: 0.1436 loss_ctc: 0.1436 2023/01/06 03:00:53 - mmengine - INFO - Epoch(train) [9][4000/7904] lr: 3.6877e-04 eta: 11:06:51 time: 0.4621 data_time: 0.0019 memory: 11161 loss: 0.1453 loss_ctc: 0.1453 2023/01/06 03:01:38 - mmengine - INFO - Epoch(train) [9][4100/7904] lr: 3.6831e-04 eta: 11:06:08 time: 0.4590 data_time: 0.0019 memory: 11161 loss: 0.1482 loss_ctc: 0.1482 2023/01/06 03:02:23 - mmengine - INFO - Epoch(train) [9][4200/7904] lr: 3.6785e-04 eta: 11:05:24 time: 0.4664 data_time: 0.0020 memory: 11161 loss: 0.1545 loss_ctc: 0.1545 2023/01/06 03:03:07 - mmengine - INFO - Epoch(train) [9][4300/7904] lr: 3.6739e-04 eta: 11:04:40 time: 0.5031 data_time: 0.0020 memory: 11161 loss: 0.1472 loss_ctc: 0.1472 2023/01/06 03:03:49 - mmengine - INFO - Epoch(train) [9][4400/7904] lr: 3.6693e-04 eta: 11:03:54 time: 0.4289 data_time: 0.0019 memory: 11161 loss: 0.1668 loss_ctc: 0.1668 2023/01/06 03:04:33 - mmengine - INFO - Epoch(train) [9][4500/7904] lr: 3.6646e-04 eta: 11:03:10 time: 0.4606 data_time: 0.0019 memory: 11161 loss: 0.1600 loss_ctc: 0.1600 2023/01/06 03:05:17 - mmengine - INFO - Epoch(train) [9][4600/7904] lr: 3.6600e-04 eta: 11:02:26 time: 0.4453 data_time: 0.0019 memory: 11161 loss: 0.1448 loss_ctc: 0.1448 2023/01/06 03:06:04 - mmengine - INFO - Epoch(train) [9][4700/7904] lr: 3.6554e-04 eta: 11:01:45 time: 0.4493 data_time: 0.0019 memory: 11161 loss: 0.1494 loss_ctc: 0.1494 2023/01/06 03:06:34 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 03:06:49 - mmengine - INFO - Epoch(train) [9][4800/7904] lr: 3.6507e-04 eta: 11:01:02 time: 0.4558 data_time: 0.0019 memory: 11161 loss: 0.1552 loss_ctc: 0.1552 2023/01/06 03:07:32 - mmengine - INFO - Epoch(train) [9][4900/7904] lr: 3.6461e-04 eta: 11:00:17 time: 0.4259 data_time: 0.0019 memory: 11161 loss: 0.1673 loss_ctc: 0.1673 2023/01/06 03:08:15 - mmengine - INFO - Epoch(train) [9][5000/7904] lr: 3.6414e-04 eta: 10:59:31 time: 0.4650 data_time: 0.0019 memory: 11161 loss: 0.1399 loss_ctc: 0.1399 2023/01/06 03:09:00 - mmengine - INFO - Epoch(train) [9][5100/7904] lr: 3.6368e-04 eta: 10:58:48 time: 0.4388 data_time: 0.0019 memory: 11161 loss: 0.1493 loss_ctc: 0.1493 2023/01/06 03:09:45 - mmengine - INFO - Epoch(train) [9][5200/7904] lr: 3.6321e-04 eta: 10:58:05 time: 0.4436 data_time: 0.0019 memory: 11161 loss: 0.1672 loss_ctc: 0.1672 2023/01/06 03:10:29 - mmengine - INFO - Epoch(train) [9][5300/7904] lr: 3.6274e-04 eta: 10:57:22 time: 0.4829 data_time: 0.0021 memory: 11161 loss: 0.1554 loss_ctc: 0.1554 2023/01/06 03:11:13 - mmengine - INFO - Epoch(train) [9][5400/7904] lr: 3.6228e-04 eta: 10:56:38 time: 0.4304 data_time: 0.0020 memory: 11161 loss: 0.1399 loss_ctc: 0.1399 2023/01/06 03:11:58 - mmengine - INFO - Epoch(train) [9][5500/7904] lr: 3.6181e-04 eta: 10:55:54 time: 0.4620 data_time: 0.0019 memory: 11161 loss: 0.1572 loss_ctc: 0.1572 2023/01/06 03:12:42 - mmengine - INFO - Epoch(train) [9][5600/7904] lr: 3.6134e-04 eta: 10:55:11 time: 0.4946 data_time: 0.0019 memory: 11161 loss: 0.1646 loss_ctc: 0.1646 2023/01/06 03:13:25 - mmengine - INFO - Epoch(train) [9][5700/7904] lr: 3.6087e-04 eta: 10:54:25 time: 0.4173 data_time: 0.0020 memory: 11161 loss: 0.1429 loss_ctc: 0.1429 2023/01/06 03:13:55 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 03:14:10 - mmengine - INFO - Epoch(train) [9][5800/7904] lr: 3.6040e-04 eta: 10:53:42 time: 0.4638 data_time: 0.0021 memory: 11161 loss: 0.1633 loss_ctc: 0.1633 2023/01/06 03:14:54 - mmengine - INFO - Epoch(train) [9][5900/7904] lr: 3.5994e-04 eta: 10:52:58 time: 0.4194 data_time: 0.0019 memory: 11161 loss: 0.1543 loss_ctc: 0.1543 2023/01/06 03:15:39 - mmengine - INFO - Epoch(train) [9][6000/7904] lr: 3.5947e-04 eta: 10:52:15 time: 0.4782 data_time: 0.0019 memory: 11161 loss: 0.1585 loss_ctc: 0.1585 2023/01/06 03:16:24 - mmengine - INFO - Epoch(train) [9][6100/7904] lr: 3.5900e-04 eta: 10:51:32 time: 0.4717 data_time: 0.0020 memory: 11161 loss: 0.1489 loss_ctc: 0.1489 2023/01/06 03:17:07 - mmengine - INFO - Epoch(train) [9][6200/7904] lr: 3.5852e-04 eta: 10:50:46 time: 0.3910 data_time: 0.0019 memory: 11161 loss: 0.1522 loss_ctc: 0.1522 2023/01/06 03:17:51 - mmengine - INFO - Epoch(train) [9][6300/7904] lr: 3.5805e-04 eta: 10:50:03 time: 0.4226 data_time: 0.0019 memory: 11161 loss: 0.1447 loss_ctc: 0.1447 2023/01/06 03:18:35 - mmengine - INFO - Epoch(train) [9][6400/7904] lr: 3.5758e-04 eta: 10:49:19 time: 0.4408 data_time: 0.0019 memory: 11161 loss: 0.1485 loss_ctc: 0.1485 2023/01/06 03:19:19 - mmengine - INFO - Epoch(train) [9][6500/7904] lr: 3.5711e-04 eta: 10:48:34 time: 0.4923 data_time: 0.0020 memory: 11161 loss: 0.1402 loss_ctc: 0.1402 2023/01/06 03:20:04 - mmengine - INFO - Epoch(train) [9][6600/7904] lr: 3.5664e-04 eta: 10:47:51 time: 0.4248 data_time: 0.0019 memory: 11161 loss: 0.1516 loss_ctc: 0.1516 2023/01/06 03:20:47 - mmengine - INFO - Epoch(train) [9][6700/7904] lr: 3.5616e-04 eta: 10:47:06 time: 0.4387 data_time: 0.0019 memory: 11161 loss: 0.1588 loss_ctc: 0.1588 2023/01/06 03:21:17 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 03:21:31 - mmengine - INFO - Epoch(train) [9][6800/7904] lr: 3.5569e-04 eta: 10:46:22 time: 0.4398 data_time: 0.0019 memory: 11161 loss: 0.1533 loss_ctc: 0.1533 2023/01/06 03:22:17 - mmengine - INFO - Epoch(train) [9][6900/7904] lr: 3.5521e-04 eta: 10:45:40 time: 0.4282 data_time: 0.0020 memory: 11161 loss: 0.1380 loss_ctc: 0.1380 2023/01/06 03:22:59 - mmengine - INFO - Epoch(train) [9][7000/7904] lr: 3.5474e-04 eta: 10:44:53 time: 0.4184 data_time: 0.0019 memory: 11161 loss: 0.1505 loss_ctc: 0.1505 2023/01/06 03:23:42 - mmengine - INFO - Epoch(train) [9][7100/7904] lr: 3.5426e-04 eta: 10:44:09 time: 0.4823 data_time: 0.0019 memory: 11161 loss: 0.1680 loss_ctc: 0.1680 2023/01/06 03:24:27 - mmengine - INFO - Epoch(train) [9][7200/7904] lr: 3.5379e-04 eta: 10:43:25 time: 0.4363 data_time: 0.0020 memory: 11161 loss: 0.1432 loss_ctc: 0.1432 2023/01/06 03:25:11 - mmengine - INFO - Epoch(train) [9][7300/7904] lr: 3.5331e-04 eta: 10:42:41 time: 0.4335 data_time: 0.0021 memory: 11161 loss: 0.1467 loss_ctc: 0.1467 2023/01/06 03:25:56 - mmengine - INFO - Epoch(train) [9][7400/7904] lr: 3.5284e-04 eta: 10:41:59 time: 0.4702 data_time: 0.0020 memory: 11161 loss: 0.1465 loss_ctc: 0.1465 2023/01/06 03:26:39 - mmengine - INFO - Epoch(train) [9][7500/7904] lr: 3.5236e-04 eta: 10:41:13 time: 0.4337 data_time: 0.0019 memory: 11161 loss: 0.1450 loss_ctc: 0.1450 2023/01/06 03:27:23 - mmengine - INFO - Epoch(train) [9][7600/7904] lr: 3.5188e-04 eta: 10:40:29 time: 0.4191 data_time: 0.0019 memory: 11161 loss: 0.1452 loss_ctc: 0.1452 2023/01/06 03:28:08 - mmengine - INFO - Epoch(train) [9][7700/7904] lr: 3.5140e-04 eta: 10:39:45 time: 0.4471 data_time: 0.0019 memory: 11161 loss: 0.1467 loss_ctc: 0.1467 2023/01/06 03:28:37 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 03:28:51 - mmengine - INFO - Epoch(train) [9][7800/7904] lr: 3.5093e-04 eta: 10:39:00 time: 0.4526 data_time: 0.0019 memory: 11161 loss: 0.1509 loss_ctc: 0.1509 2023/01/06 03:29:29 - mmengine - INFO - Epoch(train) [9][7900/7904] lr: 3.5045e-04 eta: 10:38:09 time: 0.3248 data_time: 0.0013 memory: 11161 loss: 0.1528 loss_ctc: 0.1528 2023/01/06 03:29:30 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 03:29:30 - mmengine - INFO - Saving checkpoint at 9 epochs 2023/01/06 03:29:32 - mmengine - INFO - Epoch(val) [9][15/15] CUTE80/recog/word_acc: 0.1597 CUTE80/recog/word_acc_ignore_case: 0.8403 CUTE80/recog/word_acc_ignore_case_symbol: 0.8403 IIIT5K/recog/word_acc: 0.0637 IIIT5K/recog/word_acc_ignore_case: 0.8427 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8427 SVT/recog/word_acc: 0.8810 SVT/recog/word_acc_ignore_case: 0.8810 SVT/recog/word_acc_ignore_case_symbol: 0.8810 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8171 SVTP/recog/word_acc_ignore_case_symbol: 0.8171 IC13/recog/word_acc: 0.2837 IC13/recog/word_acc_ignore_case: 0.9241 IC13/recog/word_acc_ignore_case_symbol: 0.9241 IC15/recog/word_acc: 0.1131 IC15/recog/word_acc_ignore_case: 0.7126 IC15/recog/word_acc_ignore_case_symbol: 0.7212 CUTE80/recog/char_recall: 0.9266 CUTE80/recog/char_precision: 0.9336 IIIT5K/recog/char_recall: 0.9808 IIIT5K/recog/char_precision: 0.9075 SVT/recog/char_recall: 0.9731 SVT/recog/char_precision: 0.9610 SVTP/recog/char_recall: 0.9303 SVTP/recog/char_precision: 0.9476 IC13/recog/char_recall: 0.9857 IC13/recog/char_precision: 0.9699 IC15/recog/char_recall: 0.9183 IC15/recog/char_precision: 0.8865 2023/01/06 03:30:30 - mmengine - INFO - Epoch(train) [10][ 100/7904] lr: 3.4995e-04 eta: 10:37:39 time: 0.3950 data_time: 0.0018 memory: 11161 loss: 0.1662 loss_ctc: 0.1662 2023/01/06 03:31:14 - mmengine - INFO - Epoch(train) [10][ 200/7904] lr: 3.4947e-04 eta: 10:36:56 time: 0.4280 data_time: 0.0019 memory: 11161 loss: 0.1671 loss_ctc: 0.1671 2023/01/06 03:32:00 - mmengine - INFO - Epoch(train) [10][ 300/7904] lr: 3.4899e-04 eta: 10:36:13 time: 0.4940 data_time: 0.0019 memory: 11161 loss: 0.1659 loss_ctc: 0.1659 2023/01/06 03:32:44 - mmengine - INFO - Epoch(train) [10][ 400/7904] lr: 3.4851e-04 eta: 10:35:29 time: 0.4297 data_time: 0.0019 memory: 11161 loss: 0.1542 loss_ctc: 0.1542 2023/01/06 03:33:28 - mmengine - INFO - Epoch(train) [10][ 500/7904] lr: 3.4803e-04 eta: 10:34:45 time: 0.4301 data_time: 0.0019 memory: 11161 loss: 0.1381 loss_ctc: 0.1381 2023/01/06 03:34:11 - mmengine - INFO - Epoch(train) [10][ 600/7904] lr: 3.4755e-04 eta: 10:34:00 time: 0.4404 data_time: 0.0020 memory: 11161 loss: 0.1438 loss_ctc: 0.1438 2023/01/06 03:34:56 - mmengine - INFO - Epoch(train) [10][ 700/7904] lr: 3.4707e-04 eta: 10:33:17 time: 0.4064 data_time: 0.0019 memory: 11161 loss: 0.1533 loss_ctc: 0.1533 2023/01/06 03:35:41 - mmengine - INFO - Epoch(train) [10][ 800/7904] lr: 3.4658e-04 eta: 10:32:34 time: 0.4792 data_time: 0.0021 memory: 11161 loss: 0.1603 loss_ctc: 0.1603 2023/01/06 03:36:11 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 03:36:27 - mmengine - INFO - Epoch(train) [10][ 900/7904] lr: 3.4610e-04 eta: 10:31:52 time: 0.4891 data_time: 0.0020 memory: 11161 loss: 0.1437 loss_ctc: 0.1437 2023/01/06 03:37:10 - mmengine - INFO - Epoch(train) [10][1000/7904] lr: 3.4562e-04 eta: 10:31:06 time: 0.3930 data_time: 0.0019 memory: 11161 loss: 0.1299 loss_ctc: 0.1299 2023/01/06 03:37:54 - mmengine - INFO - Epoch(train) [10][1100/7904] lr: 3.4513e-04 eta: 10:30:23 time: 0.4484 data_time: 0.0021 memory: 11161 loss: 0.1517 loss_ctc: 0.1517 2023/01/06 03:38:39 - mmengine - INFO - Epoch(train) [10][1200/7904] lr: 3.4465e-04 eta: 10:29:40 time: 0.4495 data_time: 0.0019 memory: 11161 loss: 0.1536 loss_ctc: 0.1536 2023/01/06 03:39:25 - mmengine - INFO - Epoch(train) [10][1300/7904] lr: 3.4417e-04 eta: 10:28:57 time: 0.4332 data_time: 0.0020 memory: 11161 loss: 0.1542 loss_ctc: 0.1542 2023/01/06 03:40:07 - mmengine - INFO - Epoch(train) [10][1400/7904] lr: 3.4368e-04 eta: 10:28:12 time: 0.3944 data_time: 0.0019 memory: 11161 loss: 0.1478 loss_ctc: 0.1478 2023/01/06 03:40:50 - mmengine - INFO - Epoch(train) [10][1500/7904] lr: 3.4320e-04 eta: 10:27:26 time: 0.4186 data_time: 0.0019 memory: 11161 loss: 0.1414 loss_ctc: 0.1414 2023/01/06 03:41:34 - mmengine - INFO - Epoch(train) [10][1600/7904] lr: 3.4271e-04 eta: 10:26:42 time: 0.4448 data_time: 0.0020 memory: 11161 loss: 0.1471 loss_ctc: 0.1471 2023/01/06 03:42:19 - mmengine - INFO - Epoch(train) [10][1700/7904] lr: 3.4223e-04 eta: 10:25:58 time: 0.4492 data_time: 0.0019 memory: 11161 loss: 0.1563 loss_ctc: 0.1563 2023/01/06 03:43:03 - mmengine - INFO - Epoch(train) [10][1800/7904] lr: 3.4174e-04 eta: 10:25:14 time: 0.4814 data_time: 0.0019 memory: 11161 loss: 0.1367 loss_ctc: 0.1367 2023/01/06 03:43:30 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 03:43:46 - mmengine - INFO - Epoch(train) [10][1900/7904] lr: 3.4125e-04 eta: 10:24:30 time: 0.4585 data_time: 0.0019 memory: 11161 loss: 0.1659 loss_ctc: 0.1659 2023/01/06 03:44:30 - mmengine - INFO - Epoch(train) [10][2000/7904] lr: 3.4076e-04 eta: 10:23:45 time: 0.4395 data_time: 0.0027 memory: 11161 loss: 0.1422 loss_ctc: 0.1422 2023/01/06 03:45:15 - mmengine - INFO - Epoch(train) [10][2100/7904] lr: 3.4028e-04 eta: 10:23:02 time: 0.4729 data_time: 0.0020 memory: 11161 loss: 0.1651 loss_ctc: 0.1651 2023/01/06 03:45:56 - mmengine - INFO - Epoch(train) [10][2200/7904] lr: 3.3979e-04 eta: 10:22:15 time: 0.3829 data_time: 0.0020 memory: 11161 loss: 0.1469 loss_ctc: 0.1469 2023/01/06 03:46:40 - mmengine - INFO - Epoch(train) [10][2300/7904] lr: 3.3930e-04 eta: 10:21:31 time: 0.4545 data_time: 0.0020 memory: 11161 loss: 0.1488 loss_ctc: 0.1488 2023/01/06 03:47:26 - mmengine - INFO - Epoch(train) [10][2400/7904] lr: 3.3881e-04 eta: 10:20:48 time: 0.4692 data_time: 0.0020 memory: 11161 loss: 0.1504 loss_ctc: 0.1504 2023/01/06 03:48:11 - mmengine - INFO - Epoch(train) [10][2500/7904] lr: 3.3832e-04 eta: 10:20:05 time: 0.4905 data_time: 0.0019 memory: 11161 loss: 0.1463 loss_ctc: 0.1463 2023/01/06 03:48:56 - mmengine - INFO - Epoch(train) [10][2600/7904] lr: 3.3783e-04 eta: 10:19:22 time: 0.4532 data_time: 0.0020 memory: 11161 loss: 0.1597 loss_ctc: 0.1597 2023/01/06 03:49:41 - mmengine - INFO - Epoch(train) [10][2700/7904] lr: 3.3734e-04 eta: 10:18:39 time: 0.4372 data_time: 0.0020 memory: 11161 loss: 0.1424 loss_ctc: 0.1424 2023/01/06 03:50:25 - mmengine - INFO - Epoch(train) [10][2800/7904] lr: 3.3685e-04 eta: 10:17:56 time: 0.4538 data_time: 0.0020 memory: 11161 loss: 0.1715 loss_ctc: 0.1715 2023/01/06 03:50:54 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 03:51:09 - mmengine - INFO - Epoch(train) [10][2900/7904] lr: 3.3636e-04 eta: 10:17:11 time: 0.4200 data_time: 0.0020 memory: 11161 loss: 0.1664 loss_ctc: 0.1664 2023/01/06 03:51:52 - mmengine - INFO - Epoch(train) [10][3000/7904] lr: 3.3587e-04 eta: 10:16:26 time: 0.4460 data_time: 0.0020 memory: 11161 loss: 0.1546 loss_ctc: 0.1546 2023/01/06 03:52:35 - mmengine - INFO - Epoch(train) [10][3100/7904] lr: 3.3538e-04 eta: 10:15:41 time: 0.4659 data_time: 0.0019 memory: 11161 loss: 0.1629 loss_ctc: 0.1629 2023/01/06 03:53:20 - mmengine - INFO - Epoch(train) [10][3200/7904] lr: 3.3489e-04 eta: 10:14:57 time: 0.4904 data_time: 0.0020 memory: 11161 loss: 0.1348 loss_ctc: 0.1348 2023/01/06 03:54:05 - mmengine - INFO - Epoch(train) [10][3300/7904] lr: 3.3440e-04 eta: 10:14:14 time: 0.4404 data_time: 0.0020 memory: 11161 loss: 0.1404 loss_ctc: 0.1404 2023/01/06 03:54:49 - mmengine - INFO - Epoch(train) [10][3400/7904] lr: 3.3390e-04 eta: 10:13:30 time: 0.4796 data_time: 0.0021 memory: 11161 loss: 0.1490 loss_ctc: 0.1490 2023/01/06 03:55:34 - mmengine - INFO - Epoch(train) [10][3500/7904] lr: 3.3341e-04 eta: 10:12:47 time: 0.4322 data_time: 0.0020 memory: 11161 loss: 0.1545 loss_ctc: 0.1545 2023/01/06 03:56:17 - mmengine - INFO - Epoch(train) [10][3600/7904] lr: 3.3292e-04 eta: 10:12:02 time: 0.4388 data_time: 0.0020 memory: 11161 loss: 0.1423 loss_ctc: 0.1423 2023/01/06 03:57:00 - mmengine - INFO - Epoch(train) [10][3700/7904] lr: 3.3243e-04 eta: 10:11:16 time: 0.4405 data_time: 0.0019 memory: 11161 loss: 0.1338 loss_ctc: 0.1338 2023/01/06 03:57:45 - mmengine - INFO - Epoch(train) [10][3800/7904] lr: 3.3193e-04 eta: 10:10:34 time: 0.4918 data_time: 0.0020 memory: 11161 loss: 0.1539 loss_ctc: 0.1539 2023/01/06 03:58:13 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 03:58:29 - mmengine - INFO - Epoch(train) [10][3900/7904] lr: 3.3144e-04 eta: 10:09:50 time: 0.4525 data_time: 0.0019 memory: 11161 loss: 0.1628 loss_ctc: 0.1628 2023/01/06 03:59:14 - mmengine - INFO - Epoch(train) [10][4000/7904] lr: 3.3094e-04 eta: 10:09:06 time: 0.4095 data_time: 0.0019 memory: 11161 loss: 0.1334 loss_ctc: 0.1334 2023/01/06 03:59:57 - mmengine - INFO - Epoch(train) [10][4100/7904] lr: 3.3045e-04 eta: 10:08:21 time: 0.4586 data_time: 0.0019 memory: 11161 loss: 0.1447 loss_ctc: 0.1447 2023/01/06 04:00:39 - mmengine - INFO - Epoch(train) [10][4200/7904] lr: 3.2995e-04 eta: 10:07:35 time: 0.4272 data_time: 0.0020 memory: 11161 loss: 0.1463 loss_ctc: 0.1463 2023/01/06 04:01:23 - mmengine - INFO - Epoch(train) [10][4300/7904] lr: 3.2946e-04 eta: 10:06:51 time: 0.4623 data_time: 0.0019 memory: 11161 loss: 0.1505 loss_ctc: 0.1505 2023/01/06 04:02:07 - mmengine - INFO - Epoch(train) [10][4400/7904] lr: 3.2896e-04 eta: 10:06:06 time: 0.4334 data_time: 0.0019 memory: 11161 loss: 0.1409 loss_ctc: 0.1409 2023/01/06 04:02:51 - mmengine - INFO - Epoch(train) [10][4500/7904] lr: 3.2846e-04 eta: 10:05:22 time: 0.4890 data_time: 0.0019 memory: 11161 loss: 0.1496 loss_ctc: 0.1496 2023/01/06 04:03:36 - mmengine - INFO - Epoch(train) [10][4600/7904] lr: 3.2797e-04 eta: 10:04:39 time: 0.4838 data_time: 0.0020 memory: 11161 loss: 0.1475 loss_ctc: 0.1475 2023/01/06 04:04:20 - mmengine - INFO - Epoch(train) [10][4700/7904] lr: 3.2747e-04 eta: 10:03:55 time: 0.4305 data_time: 0.0020 memory: 11161 loss: 0.1564 loss_ctc: 0.1564 2023/01/06 04:05:04 - mmengine - INFO - Epoch(train) [10][4800/7904] lr: 3.2697e-04 eta: 10:03:11 time: 0.3827 data_time: 0.0019 memory: 11161 loss: 0.1526 loss_ctc: 0.1526 2023/01/06 04:05:31 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 04:05:47 - mmengine - INFO - Epoch(train) [10][4900/7904] lr: 3.2647e-04 eta: 10:02:25 time: 0.4266 data_time: 0.0019 memory: 11161 loss: 0.1350 loss_ctc: 0.1350 2023/01/06 04:06:29 - mmengine - INFO - Epoch(train) [10][5000/7904] lr: 3.2598e-04 eta: 10:01:40 time: 0.4237 data_time: 0.0020 memory: 11161 loss: 0.1548 loss_ctc: 0.1548 2023/01/06 04:07:14 - mmengine - INFO - Epoch(train) [10][5100/7904] lr: 3.2548e-04 eta: 10:00:57 time: 0.4821 data_time: 0.0020 memory: 11161 loss: 0.1476 loss_ctc: 0.1476 2023/01/06 04:08:00 - mmengine - INFO - Epoch(train) [10][5200/7904] lr: 3.2498e-04 eta: 10:00:14 time: 0.4778 data_time: 0.0019 memory: 11161 loss: 0.1431 loss_ctc: 0.1431 2023/01/06 04:08:45 - mmengine - INFO - Epoch(train) [10][5300/7904] lr: 3.2448e-04 eta: 9:59:31 time: 0.4485 data_time: 0.0020 memory: 11161 loss: 0.1435 loss_ctc: 0.1435 2023/01/06 04:09:29 - mmengine - INFO - Epoch(train) [10][5400/7904] lr: 3.2398e-04 eta: 9:58:47 time: 0.4412 data_time: 0.0020 memory: 11161 loss: 0.1345 loss_ctc: 0.1345 2023/01/06 04:10:14 - mmengine - INFO - Epoch(train) [10][5500/7904] lr: 3.2348e-04 eta: 9:58:04 time: 0.4337 data_time: 0.0024 memory: 11161 loss: 0.1268 loss_ctc: 0.1268 2023/01/06 04:10:59 - mmengine - INFO - Epoch(train) [10][5600/7904] lr: 3.2298e-04 eta: 9:57:21 time: 0.4402 data_time: 0.0019 memory: 11161 loss: 0.1498 loss_ctc: 0.1498 2023/01/06 04:11:45 - mmengine - INFO - Epoch(train) [10][5700/7904] lr: 3.2248e-04 eta: 9:56:39 time: 0.4567 data_time: 0.0035 memory: 11161 loss: 0.1363 loss_ctc: 0.1363 2023/01/06 04:12:30 - mmengine - INFO - Epoch(train) [10][5800/7904] lr: 3.2198e-04 eta: 9:55:56 time: 0.4134 data_time: 0.0020 memory: 11161 loss: 0.1502 loss_ctc: 0.1502 2023/01/06 04:12:59 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 04:13:15 - mmengine - INFO - Epoch(train) [10][5900/7904] lr: 3.2148e-04 eta: 9:55:13 time: 0.4088 data_time: 0.0019 memory: 11161 loss: 0.1527 loss_ctc: 0.1527 2023/01/06 04:13:59 - mmengine - INFO - Epoch(train) [10][6000/7904] lr: 3.2098e-04 eta: 9:54:28 time: 0.4375 data_time: 0.0019 memory: 11161 loss: 0.1513 loss_ctc: 0.1513 2023/01/06 04:14:42 - mmengine - INFO - Epoch(train) [10][6100/7904] lr: 3.2048e-04 eta: 9:53:44 time: 0.4248 data_time: 0.0020 memory: 11161 loss: 0.1533 loss_ctc: 0.1533 2023/01/06 04:15:24 - mmengine - INFO - Epoch(train) [10][6200/7904] lr: 3.1997e-04 eta: 9:52:57 time: 0.4296 data_time: 0.0019 memory: 11161 loss: 0.1413 loss_ctc: 0.1413 2023/01/06 04:16:08 - mmengine - INFO - Epoch(train) [10][6300/7904] lr: 3.1947e-04 eta: 9:52:13 time: 0.4465 data_time: 0.0020 memory: 11161 loss: 0.1524 loss_ctc: 0.1524 2023/01/06 04:16:53 - mmengine - INFO - Epoch(train) [10][6400/7904] lr: 3.1897e-04 eta: 9:51:29 time: 0.4293 data_time: 0.0020 memory: 11161 loss: 0.1571 loss_ctc: 0.1571 2023/01/06 04:17:38 - mmengine - INFO - Epoch(train) [10][6500/7904] lr: 3.1847e-04 eta: 9:50:47 time: 0.4741 data_time: 0.0019 memory: 11161 loss: 0.1590 loss_ctc: 0.1590 2023/01/06 04:18:23 - mmengine - INFO - Epoch(train) [10][6600/7904] lr: 3.1796e-04 eta: 9:50:04 time: 0.4260 data_time: 0.0021 memory: 11161 loss: 0.1389 loss_ctc: 0.1389 2023/01/06 04:19:07 - mmengine - INFO - Epoch(train) [10][6700/7904] lr: 3.1746e-04 eta: 9:49:20 time: 0.4481 data_time: 0.0019 memory: 11161 loss: 0.1340 loss_ctc: 0.1340 2023/01/06 04:19:52 - mmengine - INFO - Epoch(train) [10][6800/7904] lr: 3.1696e-04 eta: 9:48:36 time: 0.4420 data_time: 0.0020 memory: 11161 loss: 0.1619 loss_ctc: 0.1619 2023/01/06 04:20:21 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 04:20:36 - mmengine - INFO - Epoch(train) [10][6900/7904] lr: 3.1645e-04 eta: 9:47:52 time: 0.3999 data_time: 0.0019 memory: 11161 loss: 0.1449 loss_ctc: 0.1449 2023/01/06 04:21:21 - mmengine - INFO - Epoch(train) [10][7000/7904] lr: 3.1595e-04 eta: 9:47:09 time: 0.4076 data_time: 0.0021 memory: 11161 loss: 0.1389 loss_ctc: 0.1389 2023/01/06 04:22:07 - mmengine - INFO - Epoch(train) [10][7100/7904] lr: 3.1544e-04 eta: 9:46:26 time: 0.4790 data_time: 0.0019 memory: 11161 loss: 0.1281 loss_ctc: 0.1281 2023/01/06 04:22:52 - mmengine - INFO - Epoch(train) [10][7200/7904] lr: 3.1494e-04 eta: 9:45:43 time: 0.4232 data_time: 0.0020 memory: 11161 loss: 0.1570 loss_ctc: 0.1570 2023/01/06 04:23:37 - mmengine - INFO - Epoch(train) [10][7300/7904] lr: 3.1443e-04 eta: 9:45:00 time: 0.4108 data_time: 0.0020 memory: 11161 loss: 0.1522 loss_ctc: 0.1522 2023/01/06 04:24:21 - mmengine - INFO - Epoch(train) [10][7400/7904] lr: 3.1393e-04 eta: 9:44:16 time: 0.4203 data_time: 0.0020 memory: 11161 loss: 0.1657 loss_ctc: 0.1657 2023/01/06 04:25:06 - mmengine - INFO - Epoch(train) [10][7500/7904] lr: 3.1342e-04 eta: 9:43:33 time: 0.4459 data_time: 0.0020 memory: 11161 loss: 0.1590 loss_ctc: 0.1590 2023/01/06 04:25:51 - mmengine - INFO - Epoch(train) [10][7600/7904] lr: 3.1292e-04 eta: 9:42:50 time: 0.4355 data_time: 0.0019 memory: 11161 loss: 0.1579 loss_ctc: 0.1579 2023/01/06 04:26:35 - mmengine - INFO - Epoch(train) [10][7700/7904] lr: 3.1241e-04 eta: 9:42:06 time: 0.4430 data_time: 0.0019 memory: 11161 loss: 0.1490 loss_ctc: 0.1490 2023/01/06 04:27:19 - mmengine - INFO - Epoch(train) [10][7800/7904] lr: 3.1190e-04 eta: 9:41:22 time: 0.4307 data_time: 0.0020 memory: 11161 loss: 0.1543 loss_ctc: 0.1543 2023/01/06 04:27:47 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 04:27:58 - mmengine - INFO - Epoch(train) [10][7900/7904] lr: 3.1140e-04 eta: 9:40:32 time: 0.3226 data_time: 0.0013 memory: 11161 loss: 0.1555 loss_ctc: 0.1555 2023/01/06 04:27:59 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 04:27:59 - mmengine - INFO - Saving checkpoint at 10 epochs 2023/01/06 04:28:01 - mmengine - INFO - Epoch(val) [10][15/15] CUTE80/recog/word_acc: 0.1701 CUTE80/recog/word_acc_ignore_case: 0.8750 CUTE80/recog/word_acc_ignore_case_symbol: 0.8750 IIIT5K/recog/word_acc: 0.0650 IIIT5K/recog/word_acc_ignore_case: 0.8460 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8460 SVT/recog/word_acc: 0.8825 SVT/recog/word_acc_ignore_case: 0.8825 SVT/recog/word_acc_ignore_case_symbol: 0.8825 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8109 SVTP/recog/word_acc_ignore_case_symbol: 0.8109 IC13/recog/word_acc: 0.2837 IC13/recog/word_acc_ignore_case: 0.9281 IC13/recog/word_acc_ignore_case_symbol: 0.9281 IC15/recog/word_acc: 0.1165 IC15/recog/word_acc_ignore_case: 0.7155 IC15/recog/word_acc_ignore_case_symbol: 0.7241 CUTE80/recog/char_recall: 0.9310 CUTE80/recog/char_precision: 0.9416 IIIT5K/recog/char_recall: 0.9824 IIIT5K/recog/char_precision: 0.9110 SVT/recog/char_recall: 0.9708 SVT/recog/char_precision: 0.9669 SVTP/recog/char_recall: 0.9308 SVTP/recog/char_precision: 0.9489 IC13/recog/char_recall: 0.9865 IC13/recog/char_precision: 0.9751 IC15/recog/char_recall: 0.9194 IC15/recog/char_precision: 0.8944 2023/01/06 04:28:59 - mmengine - INFO - Epoch(train) [11][ 100/7904] lr: 3.1087e-04 eta: 9:39:59 time: 0.4037 data_time: 0.0018 memory: 11161 loss: 0.1342 loss_ctc: 0.1342 2023/01/06 04:29:43 - mmengine - INFO - Epoch(train) [11][ 200/7904] lr: 3.1036e-04 eta: 9:39:15 time: 0.4127 data_time: 0.0021 memory: 11161 loss: 0.1500 loss_ctc: 0.1500 2023/01/06 04:30:26 - mmengine - INFO - Epoch(train) [11][ 300/7904] lr: 3.0985e-04 eta: 9:38:31 time: 0.3802 data_time: 0.0021 memory: 11161 loss: 0.1296 loss_ctc: 0.1296 2023/01/06 04:31:10 - mmengine - INFO - Epoch(train) [11][ 400/7904] lr: 3.0935e-04 eta: 9:37:46 time: 0.4451 data_time: 0.0020 memory: 11161 loss: 0.1550 loss_ctc: 0.1550 2023/01/06 04:31:54 - mmengine - INFO - Epoch(train) [11][ 500/7904] lr: 3.0884e-04 eta: 9:37:02 time: 0.4407 data_time: 0.0020 memory: 11161 loss: 0.1354 loss_ctc: 0.1354 2023/01/06 04:32:37 - mmengine - INFO - Epoch(train) [11][ 600/7904] lr: 3.0833e-04 eta: 9:36:17 time: 0.4454 data_time: 0.0034 memory: 11161 loss: 0.1561 loss_ctc: 0.1561 2023/01/06 04:33:22 - mmengine - INFO - Epoch(train) [11][ 700/7904] lr: 3.0782e-04 eta: 9:35:33 time: 0.4449 data_time: 0.0020 memory: 11161 loss: 0.1415 loss_ctc: 0.1415 2023/01/06 04:34:06 - mmengine - INFO - Epoch(train) [11][ 800/7904] lr: 3.0731e-04 eta: 9:34:49 time: 0.4369 data_time: 0.0019 memory: 11161 loss: 0.1457 loss_ctc: 0.1457 2023/01/06 04:34:49 - mmengine - INFO - Epoch(train) [11][ 900/7904] lr: 3.0680e-04 eta: 9:34:04 time: 0.4194 data_time: 0.0020 memory: 11161 loss: 0.1432 loss_ctc: 0.1432 2023/01/06 04:35:16 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 04:35:34 - mmengine - INFO - Epoch(train) [11][1000/7904] lr: 3.0629e-04 eta: 9:33:21 time: 0.4258 data_time: 0.0021 memory: 11161 loss: 0.1512 loss_ctc: 0.1512 2023/01/06 04:36:19 - mmengine - INFO - Epoch(train) [11][1100/7904] lr: 3.0578e-04 eta: 9:32:37 time: 0.4494 data_time: 0.0020 memory: 11161 loss: 0.1471 loss_ctc: 0.1471 2023/01/06 04:37:03 - mmengine - INFO - Epoch(train) [11][1200/7904] lr: 3.0527e-04 eta: 9:31:54 time: 0.4326 data_time: 0.0020 memory: 11161 loss: 0.1376 loss_ctc: 0.1376 2023/01/06 04:37:48 - mmengine - INFO - Epoch(train) [11][1300/7904] lr: 3.0476e-04 eta: 9:31:11 time: 0.4399 data_time: 0.0020 memory: 11161 loss: 0.1485 loss_ctc: 0.1485 2023/01/06 04:38:34 - mmengine - INFO - Epoch(train) [11][1400/7904] lr: 3.0425e-04 eta: 9:30:28 time: 0.4583 data_time: 0.0019 memory: 11161 loss: 0.1377 loss_ctc: 0.1377 2023/01/06 04:39:20 - mmengine - INFO - Epoch(train) [11][1500/7904] lr: 3.0374e-04 eta: 9:29:46 time: 0.4440 data_time: 0.0020 memory: 11161 loss: 0.1401 loss_ctc: 0.1401 2023/01/06 04:40:05 - mmengine - INFO - Epoch(train) [11][1600/7904] lr: 3.0323e-04 eta: 9:29:03 time: 0.4597 data_time: 0.0019 memory: 11161 loss: 0.1471 loss_ctc: 0.1471 2023/01/06 04:40:50 - mmengine - INFO - Epoch(train) [11][1700/7904] lr: 3.0272e-04 eta: 9:28:19 time: 0.4647 data_time: 0.0019 memory: 11161 loss: 0.1645 loss_ctc: 0.1645 2023/01/06 04:41:35 - mmengine - INFO - Epoch(train) [11][1800/7904] lr: 3.0221e-04 eta: 9:27:36 time: 0.4528 data_time: 0.0020 memory: 11161 loss: 0.1417 loss_ctc: 0.1417 2023/01/06 04:42:19 - mmengine - INFO - Epoch(train) [11][1900/7904] lr: 3.0170e-04 eta: 9:26:51 time: 0.4416 data_time: 0.0020 memory: 11161 loss: 0.1550 loss_ctc: 0.1550 2023/01/06 04:42:44 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 04:43:01 - mmengine - INFO - Epoch(train) [11][2000/7904] lr: 3.0119e-04 eta: 9:26:06 time: 0.4220 data_time: 0.0019 memory: 11161 loss: 0.1412 loss_ctc: 0.1412 2023/01/06 04:43:45 - mmengine - INFO - Epoch(train) [11][2100/7904] lr: 3.0067e-04 eta: 9:25:21 time: 0.4450 data_time: 0.0019 memory: 11161 loss: 0.1366 loss_ctc: 0.1366 2023/01/06 04:44:28 - mmengine - INFO - Epoch(train) [11][2200/7904] lr: 3.0016e-04 eta: 9:24:36 time: 0.3912 data_time: 0.0020 memory: 11161 loss: 0.1434 loss_ctc: 0.1434 2023/01/06 04:45:11 - mmengine - INFO - Epoch(train) [11][2300/7904] lr: 2.9965e-04 eta: 9:23:51 time: 0.4083 data_time: 0.0020 memory: 11161 loss: 0.1385 loss_ctc: 0.1385 2023/01/06 04:45:53 - mmengine - INFO - Epoch(train) [11][2400/7904] lr: 2.9914e-04 eta: 9:23:05 time: 0.4243 data_time: 0.0024 memory: 11161 loss: 0.1395 loss_ctc: 0.1395 2023/01/06 04:46:37 - mmengine - INFO - Epoch(train) [11][2500/7904] lr: 2.9862e-04 eta: 9:22:21 time: 0.4206 data_time: 0.0020 memory: 11161 loss: 0.1327 loss_ctc: 0.1327 2023/01/06 04:47:20 - mmengine - INFO - Epoch(train) [11][2600/7904] lr: 2.9811e-04 eta: 9:21:36 time: 0.4386 data_time: 0.0019 memory: 11161 loss: 0.1426 loss_ctc: 0.1426 2023/01/06 04:48:03 - mmengine - INFO - Epoch(train) [11][2700/7904] lr: 2.9760e-04 eta: 9:20:51 time: 0.3777 data_time: 0.0020 memory: 11161 loss: 0.1415 loss_ctc: 0.1415 2023/01/06 04:48:45 - mmengine - INFO - Epoch(train) [11][2800/7904] lr: 2.9708e-04 eta: 9:20:05 time: 0.4275 data_time: 0.0019 memory: 11161 loss: 0.1388 loss_ctc: 0.1388 2023/01/06 04:49:30 - mmengine - INFO - Epoch(train) [11][2900/7904] lr: 2.9657e-04 eta: 9:19:21 time: 0.4799 data_time: 0.0029 memory: 11161 loss: 0.1287 loss_ctc: 0.1287 2023/01/06 04:49:56 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 04:50:14 - mmengine - INFO - Epoch(train) [11][3000/7904] lr: 2.9606e-04 eta: 9:18:37 time: 0.4366 data_time: 0.0020 memory: 11161 loss: 0.1518 loss_ctc: 0.1518 2023/01/06 04:50:56 - mmengine - INFO - Epoch(train) [11][3100/7904] lr: 2.9554e-04 eta: 9:17:51 time: 0.3947 data_time: 0.0019 memory: 11161 loss: 0.1339 loss_ctc: 0.1339 2023/01/06 04:51:39 - mmengine - INFO - Epoch(train) [11][3200/7904] lr: 2.9503e-04 eta: 9:17:06 time: 0.4539 data_time: 0.0020 memory: 11161 loss: 0.1543 loss_ctc: 0.1543 2023/01/06 04:52:23 - mmengine - INFO - Epoch(train) [11][3300/7904] lr: 2.9451e-04 eta: 9:16:22 time: 0.4478 data_time: 0.0020 memory: 11161 loss: 0.1373 loss_ctc: 0.1373 2023/01/06 04:53:08 - mmengine - INFO - Epoch(train) [11][3400/7904] lr: 2.9400e-04 eta: 9:15:39 time: 0.4284 data_time: 0.0020 memory: 11161 loss: 0.1413 loss_ctc: 0.1413 2023/01/06 04:53:51 - mmengine - INFO - Epoch(train) [11][3500/7904] lr: 2.9348e-04 eta: 9:14:54 time: 0.4268 data_time: 0.0020 memory: 11161 loss: 0.1610 loss_ctc: 0.1610 2023/01/06 04:54:34 - mmengine - INFO - Epoch(train) [11][3600/7904] lr: 2.9297e-04 eta: 9:14:08 time: 0.4484 data_time: 0.0020 memory: 11161 loss: 0.1463 loss_ctc: 0.1463 2023/01/06 04:55:16 - mmengine - INFO - Epoch(train) [11][3700/7904] lr: 2.9245e-04 eta: 9:13:23 time: 0.4587 data_time: 0.0019 memory: 11161 loss: 0.1462 loss_ctc: 0.1462 2023/01/06 04:56:01 - mmengine - INFO - Epoch(train) [11][3800/7904] lr: 2.9194e-04 eta: 9:12:39 time: 0.4320 data_time: 0.0020 memory: 11161 loss: 0.1472 loss_ctc: 0.1472 2023/01/06 04:56:45 - mmengine - INFO - Epoch(train) [11][3900/7904] lr: 2.9142e-04 eta: 9:11:55 time: 0.4835 data_time: 0.0019 memory: 11161 loss: 0.1348 loss_ctc: 0.1348 2023/01/06 04:57:10 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 04:57:28 - mmengine - INFO - Epoch(train) [11][4000/7904] lr: 2.9091e-04 eta: 9:11:10 time: 0.4496 data_time: 0.0020 memory: 11161 loss: 0.1538 loss_ctc: 0.1538 2023/01/06 04:58:15 - mmengine - INFO - Epoch(train) [11][4100/7904] lr: 2.9039e-04 eta: 9:10:28 time: 0.4435 data_time: 0.0020 memory: 11161 loss: 0.1427 loss_ctc: 0.1427 2023/01/06 04:58:59 - mmengine - INFO - Epoch(train) [11][4200/7904] lr: 2.8987e-04 eta: 9:09:45 time: 0.4577 data_time: 0.0020 memory: 11161 loss: 0.1356 loss_ctc: 0.1356 2023/01/06 04:59:43 - mmengine - INFO - Epoch(train) [11][4300/7904] lr: 2.8936e-04 eta: 9:09:00 time: 0.4021 data_time: 0.0019 memory: 11161 loss: 0.1400 loss_ctc: 0.1400 2023/01/06 05:00:28 - mmengine - INFO - Epoch(train) [11][4400/7904] lr: 2.8884e-04 eta: 9:08:17 time: 0.4471 data_time: 0.0019 memory: 11161 loss: 0.1371 loss_ctc: 0.1371 2023/01/06 05:01:12 - mmengine - INFO - Epoch(train) [11][4500/7904] lr: 2.8832e-04 eta: 9:07:33 time: 0.4513 data_time: 0.0020 memory: 11161 loss: 0.1522 loss_ctc: 0.1522 2023/01/06 05:01:55 - mmengine - INFO - Epoch(train) [11][4600/7904] lr: 2.8781e-04 eta: 9:06:48 time: 0.4202 data_time: 0.0020 memory: 11161 loss: 0.1497 loss_ctc: 0.1497 2023/01/06 05:02:38 - mmengine - INFO - Epoch(train) [11][4700/7904] lr: 2.8729e-04 eta: 9:06:02 time: 0.3960 data_time: 0.0020 memory: 11161 loss: 0.1556 loss_ctc: 0.1556 2023/01/06 05:03:20 - mmengine - INFO - Epoch(train) [11][4800/7904] lr: 2.8677e-04 eta: 9:05:16 time: 0.3921 data_time: 0.0019 memory: 11161 loss: 0.1375 loss_ctc: 0.1375 2023/01/06 05:04:02 - mmengine - INFO - Epoch(train) [11][4900/7904] lr: 2.8626e-04 eta: 9:04:31 time: 0.4288 data_time: 0.0019 memory: 11161 loss: 0.1416 loss_ctc: 0.1416 2023/01/06 05:04:30 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 05:04:47 - mmengine - INFO - Epoch(train) [11][5000/7904] lr: 2.8574e-04 eta: 9:03:48 time: 0.4556 data_time: 0.0020 memory: 11161 loss: 0.1387 loss_ctc: 0.1387 2023/01/06 05:05:31 - mmengine - INFO - Epoch(train) [11][5100/7904] lr: 2.8522e-04 eta: 9:03:04 time: 0.4540 data_time: 0.0020 memory: 11161 loss: 0.1662 loss_ctc: 0.1662 2023/01/06 05:06:16 - mmengine - INFO - Epoch(train) [11][5200/7904] lr: 2.8470e-04 eta: 9:02:20 time: 0.4405 data_time: 0.0021 memory: 11161 loss: 0.1592 loss_ctc: 0.1592 2023/01/06 05:07:00 - mmengine - INFO - Epoch(train) [11][5300/7904] lr: 2.8418e-04 eta: 9:01:36 time: 0.4448 data_time: 0.0019 memory: 11161 loss: 0.1372 loss_ctc: 0.1372 2023/01/06 05:07:44 - mmengine - INFO - Epoch(train) [11][5400/7904] lr: 2.8367e-04 eta: 9:00:52 time: 0.4569 data_time: 0.0020 memory: 11161 loss: 0.1420 loss_ctc: 0.1420 2023/01/06 05:08:28 - mmengine - INFO - Epoch(train) [11][5500/7904] lr: 2.8315e-04 eta: 9:00:07 time: 0.4211 data_time: 0.0021 memory: 11161 loss: 0.1545 loss_ctc: 0.1545 2023/01/06 05:09:10 - mmengine - INFO - Epoch(train) [11][5600/7904] lr: 2.8263e-04 eta: 8:59:22 time: 0.3826 data_time: 0.0020 memory: 11161 loss: 0.1380 loss_ctc: 0.1380 2023/01/06 05:09:54 - mmengine - INFO - Epoch(train) [11][5700/7904] lr: 2.8211e-04 eta: 8:58:37 time: 0.4208 data_time: 0.0020 memory: 11161 loss: 0.1369 loss_ctc: 0.1369 2023/01/06 05:10:37 - mmengine - INFO - Epoch(train) [11][5800/7904] lr: 2.8159e-04 eta: 8:57:53 time: 0.3981 data_time: 0.0020 memory: 11161 loss: 0.1335 loss_ctc: 0.1335 2023/01/06 05:11:19 - mmengine - INFO - Epoch(train) [11][5900/7904] lr: 2.8107e-04 eta: 8:57:07 time: 0.4223 data_time: 0.0020 memory: 11161 loss: 0.1421 loss_ctc: 0.1421 2023/01/06 05:11:46 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 05:12:04 - mmengine - INFO - Epoch(train) [11][6000/7904] lr: 2.8055e-04 eta: 8:56:24 time: 0.4720 data_time: 0.0021 memory: 11161 loss: 0.1497 loss_ctc: 0.1497 2023/01/06 05:12:50 - mmengine - INFO - Epoch(train) [11][6100/7904] lr: 2.8004e-04 eta: 8:55:41 time: 0.4709 data_time: 0.0019 memory: 11161 loss: 0.1469 loss_ctc: 0.1469 2023/01/06 05:13:34 - mmengine - INFO - Epoch(train) [11][6200/7904] lr: 2.7952e-04 eta: 8:54:57 time: 0.4567 data_time: 0.0019 memory: 11161 loss: 0.1535 loss_ctc: 0.1535 2023/01/06 05:14:18 - mmengine - INFO - Epoch(train) [11][6300/7904] lr: 2.7900e-04 eta: 8:54:12 time: 0.3919 data_time: 0.0020 memory: 11161 loss: 0.1365 loss_ctc: 0.1365 2023/01/06 05:15:00 - mmengine - INFO - Epoch(train) [11][6400/7904] lr: 2.7848e-04 eta: 8:53:27 time: 0.3974 data_time: 0.0020 memory: 11161 loss: 0.1378 loss_ctc: 0.1378 2023/01/06 05:15:44 - mmengine - INFO - Epoch(train) [11][6500/7904] lr: 2.7796e-04 eta: 8:52:42 time: 0.4795 data_time: 0.0019 memory: 11161 loss: 0.1533 loss_ctc: 0.1533 2023/01/06 05:16:30 - mmengine - INFO - Epoch(train) [11][6600/7904] lr: 2.7744e-04 eta: 8:52:00 time: 0.4544 data_time: 0.0020 memory: 11161 loss: 0.1452 loss_ctc: 0.1452 2023/01/06 05:17:14 - mmengine - INFO - Epoch(train) [11][6700/7904] lr: 2.7692e-04 eta: 8:51:16 time: 0.4489 data_time: 0.0020 memory: 11161 loss: 0.1475 loss_ctc: 0.1475 2023/01/06 05:17:58 - mmengine - INFO - Epoch(train) [11][6800/7904] lr: 2.7640e-04 eta: 8:50:31 time: 0.3977 data_time: 0.0020 memory: 11161 loss: 0.1347 loss_ctc: 0.1347 2023/01/06 05:18:41 - mmengine - INFO - Epoch(train) [11][6900/7904] lr: 2.7588e-04 eta: 8:49:47 time: 0.4080 data_time: 0.0020 memory: 11161 loss: 0.1445 loss_ctc: 0.1445 2023/01/06 05:19:09 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 05:19:26 - mmengine - INFO - Epoch(train) [11][7000/7904] lr: 2.7536e-04 eta: 8:49:03 time: 0.4418 data_time: 0.0019 memory: 11161 loss: 0.1348 loss_ctc: 0.1348 2023/01/06 05:20:11 - mmengine - INFO - Epoch(train) [11][7100/7904] lr: 2.7484e-04 eta: 8:48:20 time: 0.4519 data_time: 0.0019 memory: 11161 loss: 0.1393 loss_ctc: 0.1393 2023/01/06 05:20:55 - mmengine - INFO - Epoch(train) [11][7200/7904] lr: 2.7432e-04 eta: 8:47:36 time: 0.4450 data_time: 0.0020 memory: 11161 loss: 0.1511 loss_ctc: 0.1511 2023/01/06 05:21:40 - mmengine - INFO - Epoch(train) [11][7300/7904] lr: 2.7380e-04 eta: 8:46:52 time: 0.4663 data_time: 0.0020 memory: 11161 loss: 0.1432 loss_ctc: 0.1432 2023/01/06 05:22:24 - mmengine - INFO - Epoch(train) [11][7400/7904] lr: 2.7328e-04 eta: 8:46:08 time: 0.4319 data_time: 0.0020 memory: 11161 loss: 0.1388 loss_ctc: 0.1388 2023/01/06 05:23:08 - mmengine - INFO - Epoch(train) [11][7500/7904] lr: 2.7275e-04 eta: 8:45:24 time: 0.4691 data_time: 0.0020 memory: 11161 loss: 0.1341 loss_ctc: 0.1341 2023/01/06 05:23:53 - mmengine - INFO - Epoch(train) [11][7600/7904] lr: 2.7223e-04 eta: 8:44:41 time: 0.4220 data_time: 0.0020 memory: 11161 loss: 0.1374 loss_ctc: 0.1374 2023/01/06 05:24:37 - mmengine - INFO - Epoch(train) [11][7700/7904] lr: 2.7171e-04 eta: 8:43:56 time: 0.4398 data_time: 0.0020 memory: 11161 loss: 0.1365 loss_ctc: 0.1365 2023/01/06 05:25:22 - mmengine - INFO - Epoch(train) [11][7800/7904] lr: 2.7119e-04 eta: 8:43:13 time: 0.4775 data_time: 0.0019 memory: 11161 loss: 0.1430 loss_ctc: 0.1430 2023/01/06 05:26:01 - mmengine - INFO - Epoch(train) [11][7900/7904] lr: 2.7067e-04 eta: 8:42:25 time: 0.3313 data_time: 0.0015 memory: 11161 loss: 0.1303 loss_ctc: 0.1303 2023/01/06 05:26:02 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 05:26:02 - mmengine - INFO - Saving checkpoint at 11 epochs 2023/01/06 05:26:04 - mmengine - INFO - Epoch(val) [11][15/15] CUTE80/recog/word_acc: 0.1562 CUTE80/recog/word_acc_ignore_case: 0.8715 CUTE80/recog/word_acc_ignore_case_symbol: 0.8715 IIIT5K/recog/word_acc: 0.0643 IIIT5K/recog/word_acc_ignore_case: 0.8397 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8397 SVT/recog/word_acc: 0.8794 SVT/recog/word_acc_ignore_case: 0.8794 SVT/recog/word_acc_ignore_case_symbol: 0.8794 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8264 SVTP/recog/word_acc_ignore_case_symbol: 0.8264 IC13/recog/word_acc: 0.2857 IC13/recog/word_acc_ignore_case: 0.9310 IC13/recog/word_acc_ignore_case_symbol: 0.9310 IC15/recog/word_acc: 0.1136 IC15/recog/word_acc_ignore_case: 0.7164 IC15/recog/word_acc_ignore_case_symbol: 0.7208 CUTE80/recog/char_recall: 0.9379 CUTE80/recog/char_precision: 0.9420 IIIT5K/recog/char_recall: 0.9804 IIIT5K/recog/char_precision: 0.9038 SVT/recog/char_recall: 0.9760 SVT/recog/char_precision: 0.9589 SVTP/recog/char_recall: 0.9361 SVTP/recog/char_precision: 0.9481 IC13/recog/char_recall: 0.9881 IC13/recog/char_precision: 0.9716 IC15/recog/char_recall: 0.9257 IC15/recog/char_precision: 0.8808 2023/01/06 05:26:43 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 05:27:01 - mmengine - INFO - Epoch(train) [12][ 100/7904] lr: 2.7013e-04 eta: 8:41:49 time: 0.4176 data_time: 0.0020 memory: 11161 loss: 0.1367 loss_ctc: 0.1367 2023/01/06 05:27:46 - mmengine - INFO - Epoch(train) [12][ 200/7904] lr: 2.6961e-04 eta: 8:41:05 time: 0.4315 data_time: 0.0019 memory: 11161 loss: 0.1444 loss_ctc: 0.1444 2023/01/06 05:28:28 - mmengine - INFO - Epoch(train) [12][ 300/7904] lr: 2.6909e-04 eta: 8:40:20 time: 0.3901 data_time: 0.0019 memory: 11161 loss: 0.1437 loss_ctc: 0.1437 2023/01/06 05:29:10 - mmengine - INFO - Epoch(train) [12][ 400/7904] lr: 2.6856e-04 eta: 8:39:34 time: 0.4088 data_time: 0.0019 memory: 11161 loss: 0.1419 loss_ctc: 0.1419 2023/01/06 05:29:55 - mmengine - INFO - Epoch(train) [12][ 500/7904] lr: 2.6804e-04 eta: 8:38:51 time: 0.4729 data_time: 0.0020 memory: 11161 loss: 0.1312 loss_ctc: 0.1312 2023/01/06 05:30:41 - mmengine - INFO - Epoch(train) [12][ 600/7904] lr: 2.6752e-04 eta: 8:38:08 time: 0.4760 data_time: 0.0019 memory: 11161 loss: 0.1430 loss_ctc: 0.1430 2023/01/06 05:31:26 - mmengine - INFO - Epoch(train) [12][ 700/7904] lr: 2.6700e-04 eta: 8:37:25 time: 0.4974 data_time: 0.0020 memory: 11161 loss: 0.1283 loss_ctc: 0.1283 2023/01/06 05:32:10 - mmengine - INFO - Epoch(train) [12][ 800/7904] lr: 2.6648e-04 eta: 8:36:41 time: 0.4753 data_time: 0.0020 memory: 11161 loss: 0.1408 loss_ctc: 0.1408 2023/01/06 05:32:54 - mmengine - INFO - Epoch(train) [12][ 900/7904] lr: 2.6596e-04 eta: 8:35:56 time: 0.4319 data_time: 0.0020 memory: 11161 loss: 0.1478 loss_ctc: 0.1478 2023/01/06 05:33:38 - mmengine - INFO - Epoch(train) [12][1000/7904] lr: 2.6543e-04 eta: 8:35:12 time: 0.4537 data_time: 0.0020 memory: 11161 loss: 0.1241 loss_ctc: 0.1241 2023/01/06 05:34:03 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 05:34:23 - mmengine - INFO - Epoch(train) [12][1100/7904] lr: 2.6491e-04 eta: 8:34:29 time: 0.5004 data_time: 0.0020 memory: 11161 loss: 0.1479 loss_ctc: 0.1479 2023/01/06 05:35:07 - mmengine - INFO - Epoch(train) [12][1200/7904] lr: 2.6439e-04 eta: 8:33:45 time: 0.4390 data_time: 0.0019 memory: 11161 loss: 0.1395 loss_ctc: 0.1395 2023/01/06 05:35:52 - mmengine - INFO - Epoch(train) [12][1300/7904] lr: 2.6387e-04 eta: 8:33:02 time: 0.4660 data_time: 0.0020 memory: 11161 loss: 0.1387 loss_ctc: 0.1387 2023/01/06 05:36:37 - mmengine - INFO - Epoch(train) [12][1400/7904] lr: 2.6335e-04 eta: 8:32:18 time: 0.4087 data_time: 0.0019 memory: 11161 loss: 0.1489 loss_ctc: 0.1489 2023/01/06 05:37:21 - mmengine - INFO - Epoch(train) [12][1500/7904] lr: 2.6282e-04 eta: 8:31:34 time: 0.4324 data_time: 0.0020 memory: 11161 loss: 0.1326 loss_ctc: 0.1326 2023/01/06 05:38:05 - mmengine - INFO - Epoch(train) [12][1600/7904] lr: 2.6230e-04 eta: 8:30:49 time: 0.4478 data_time: 0.0019 memory: 11161 loss: 0.1420 loss_ctc: 0.1420 2023/01/06 05:38:51 - mmengine - INFO - Epoch(train) [12][1700/7904] lr: 2.6178e-04 eta: 8:30:07 time: 0.4434 data_time: 0.0020 memory: 11161 loss: 0.1294 loss_ctc: 0.1294 2023/01/06 05:39:38 - mmengine - INFO - Epoch(train) [12][1800/7904] lr: 2.6126e-04 eta: 8:29:25 time: 0.4789 data_time: 0.0020 memory: 11161 loss: 0.1370 loss_ctc: 0.1370 2023/01/06 05:40:24 - mmengine - INFO - Epoch(train) [12][1900/7904] lr: 2.6073e-04 eta: 8:28:42 time: 0.4158 data_time: 0.0020 memory: 11161 loss: 0.1359 loss_ctc: 0.1359 2023/01/06 05:41:09 - mmengine - INFO - Epoch(train) [12][2000/7904] lr: 2.6021e-04 eta: 8:27:59 time: 0.4359 data_time: 0.0020 memory: 11161 loss: 0.1407 loss_ctc: 0.1407 2023/01/06 05:41:34 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 05:41:53 - mmengine - INFO - Epoch(train) [12][2100/7904] lr: 2.5969e-04 eta: 8:27:15 time: 0.4517 data_time: 0.0019 memory: 11161 loss: 0.1464 loss_ctc: 0.1464 2023/01/06 05:42:38 - mmengine - INFO - Epoch(train) [12][2200/7904] lr: 2.5917e-04 eta: 8:26:32 time: 0.4898 data_time: 0.0021 memory: 11161 loss: 0.1319 loss_ctc: 0.1319 2023/01/06 05:43:22 - mmengine - INFO - Epoch(train) [12][2300/7904] lr: 2.5864e-04 eta: 8:25:48 time: 0.4176 data_time: 0.0020 memory: 11161 loss: 0.1502 loss_ctc: 0.1502 2023/01/06 05:44:08 - mmengine - INFO - Epoch(train) [12][2400/7904] lr: 2.5812e-04 eta: 8:25:05 time: 0.4792 data_time: 0.0020 memory: 11161 loss: 0.1401 loss_ctc: 0.1401 2023/01/06 05:44:53 - mmengine - INFO - Epoch(train) [12][2500/7904] lr: 2.5760e-04 eta: 8:24:21 time: 0.4503 data_time: 0.0020 memory: 11161 loss: 0.1199 loss_ctc: 0.1199 2023/01/06 05:45:36 - mmengine - INFO - Epoch(train) [12][2600/7904] lr: 2.5708e-04 eta: 8:23:37 time: 0.4300 data_time: 0.0020 memory: 11161 loss: 0.1391 loss_ctc: 0.1391 2023/01/06 05:46:19 - mmengine - INFO - Epoch(train) [12][2700/7904] lr: 2.5655e-04 eta: 8:22:52 time: 0.4335 data_time: 0.0020 memory: 11161 loss: 0.1255 loss_ctc: 0.1255 2023/01/06 05:47:03 - mmengine - INFO - Epoch(train) [12][2800/7904] lr: 2.5603e-04 eta: 8:22:07 time: 0.4516 data_time: 0.0020 memory: 11161 loss: 0.1392 loss_ctc: 0.1392 2023/01/06 05:47:46 - mmengine - INFO - Epoch(train) [12][2900/7904] lr: 2.5551e-04 eta: 8:21:23 time: 0.4748 data_time: 0.0020 memory: 11161 loss: 0.1407 loss_ctc: 0.1407 2023/01/06 05:48:30 - mmengine - INFO - Epoch(train) [12][3000/7904] lr: 2.5498e-04 eta: 8:20:38 time: 0.4259 data_time: 0.0020 memory: 11161 loss: 0.1431 loss_ctc: 0.1431 2023/01/06 05:48:53 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 05:49:12 - mmengine - INFO - Epoch(train) [12][3100/7904] lr: 2.5446e-04 eta: 8:19:52 time: 0.4384 data_time: 0.0020 memory: 11161 loss: 0.1303 loss_ctc: 0.1303 2023/01/06 05:49:56 - mmengine - INFO - Epoch(train) [12][3200/7904] lr: 2.5394e-04 eta: 8:19:09 time: 0.4431 data_time: 0.0020 memory: 11161 loss: 0.1275 loss_ctc: 0.1275 2023/01/06 05:50:41 - mmengine - INFO - Epoch(train) [12][3300/7904] lr: 2.5341e-04 eta: 8:18:25 time: 0.4584 data_time: 0.0020 memory: 11161 loss: 0.1363 loss_ctc: 0.1363 2023/01/06 05:51:23 - mmengine - INFO - Epoch(train) [12][3400/7904] lr: 2.5289e-04 eta: 8:17:39 time: 0.3975 data_time: 0.0020 memory: 11161 loss: 0.1355 loss_ctc: 0.1355 2023/01/06 05:52:07 - mmengine - INFO - Epoch(train) [12][3500/7904] lr: 2.5237e-04 eta: 8:16:55 time: 0.4207 data_time: 0.0020 memory: 11161 loss: 0.1376 loss_ctc: 0.1376 2023/01/06 05:52:49 - mmengine - INFO - Epoch(train) [12][3600/7904] lr: 2.5185e-04 eta: 8:16:10 time: 0.3952 data_time: 0.0020 memory: 11161 loss: 0.1372 loss_ctc: 0.1372 2023/01/06 05:53:31 - mmengine - INFO - Epoch(train) [12][3700/7904] lr: 2.5132e-04 eta: 8:15:24 time: 0.4239 data_time: 0.0020 memory: 11161 loss: 0.1396 loss_ctc: 0.1396 2023/01/06 05:54:16 - mmengine - INFO - Epoch(train) [12][3800/7904] lr: 2.5080e-04 eta: 8:14:40 time: 0.4678 data_time: 0.0020 memory: 11161 loss: 0.1371 loss_ctc: 0.1371 2023/01/06 05:55:01 - mmengine - INFO - Epoch(train) [12][3900/7904] lr: 2.5028e-04 eta: 8:13:57 time: 0.4935 data_time: 0.0020 memory: 11161 loss: 0.1388 loss_ctc: 0.1388 2023/01/06 05:55:47 - mmengine - INFO - Epoch(train) [12][4000/7904] lr: 2.4975e-04 eta: 8:13:14 time: 0.4519 data_time: 0.0020 memory: 11161 loss: 0.1491 loss_ctc: 0.1491 2023/01/06 05:56:11 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 05:56:30 - mmengine - INFO - Epoch(train) [12][4100/7904] lr: 2.4923e-04 eta: 8:12:30 time: 0.4164 data_time: 0.0020 memory: 11161 loss: 0.1193 loss_ctc: 0.1193 2023/01/06 05:57:15 - mmengine - INFO - Epoch(train) [12][4200/7904] lr: 2.4871e-04 eta: 8:11:46 time: 0.4469 data_time: 0.0020 memory: 11161 loss: 0.1376 loss_ctc: 0.1376 2023/01/06 05:58:00 - mmengine - INFO - Epoch(train) [12][4300/7904] lr: 2.4819e-04 eta: 8:11:03 time: 0.4480 data_time: 0.0021 memory: 11161 loss: 0.1407 loss_ctc: 0.1407 2023/01/06 05:58:45 - mmengine - INFO - Epoch(train) [12][4400/7904] lr: 2.4766e-04 eta: 8:10:19 time: 0.4325 data_time: 0.0020 memory: 11161 loss: 0.1414 loss_ctc: 0.1414 2023/01/06 05:59:30 - mmengine - INFO - Epoch(train) [12][4500/7904] lr: 2.4714e-04 eta: 8:09:36 time: 0.4409 data_time: 0.0019 memory: 11161 loss: 0.1361 loss_ctc: 0.1361 2023/01/06 06:00:14 - mmengine - INFO - Epoch(train) [12][4600/7904] lr: 2.4662e-04 eta: 8:08:52 time: 0.4876 data_time: 0.0021 memory: 11161 loss: 0.1326 loss_ctc: 0.1326 2023/01/06 06:00:57 - mmengine - INFO - Epoch(train) [12][4700/7904] lr: 2.4609e-04 eta: 8:08:06 time: 0.4386 data_time: 0.0020 memory: 11161 loss: 0.1352 loss_ctc: 0.1352 2023/01/06 06:01:39 - mmengine - INFO - Epoch(train) [12][4800/7904] lr: 2.4557e-04 eta: 8:07:21 time: 0.4407 data_time: 0.0022 memory: 11161 loss: 0.1318 loss_ctc: 0.1318 2023/01/06 06:02:22 - mmengine - INFO - Epoch(train) [12][4900/7904] lr: 2.4505e-04 eta: 8:06:36 time: 0.4315 data_time: 0.0023 memory: 11161 loss: 0.1267 loss_ctc: 0.1267 2023/01/06 06:03:06 - mmengine - INFO - Epoch(train) [12][5000/7904] lr: 2.4452e-04 eta: 8:05:52 time: 0.4532 data_time: 0.0036 memory: 11161 loss: 0.1290 loss_ctc: 0.1290 2023/01/06 06:03:31 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 06:03:50 - mmengine - INFO - Epoch(train) [12][5100/7904] lr: 2.4400e-04 eta: 8:05:07 time: 0.3828 data_time: 0.0020 memory: 11161 loss: 0.1486 loss_ctc: 0.1486 2023/01/06 06:04:35 - mmengine - INFO - Epoch(train) [12][5200/7904] lr: 2.4348e-04 eta: 8:04:24 time: 0.3755 data_time: 0.0019 memory: 11161 loss: 0.1321 loss_ctc: 0.1321 2023/01/06 06:05:19 - mmengine - INFO - Epoch(train) [12][5300/7904] lr: 2.4296e-04 eta: 8:03:40 time: 0.4116 data_time: 0.0020 memory: 11161 loss: 0.1448 loss_ctc: 0.1448 2023/01/06 06:06:02 - mmengine - INFO - Epoch(train) [12][5400/7904] lr: 2.4243e-04 eta: 8:02:55 time: 0.4207 data_time: 0.0019 memory: 11161 loss: 0.1277 loss_ctc: 0.1277 2023/01/06 06:06:48 - mmengine - INFO - Epoch(train) [12][5500/7904] lr: 2.4191e-04 eta: 8:02:12 time: 0.4666 data_time: 0.0020 memory: 11161 loss: 0.1426 loss_ctc: 0.1426 2023/01/06 06:07:33 - mmengine - INFO - Epoch(train) [12][5600/7904] lr: 2.4139e-04 eta: 8:01:29 time: 0.4668 data_time: 0.0021 memory: 11161 loss: 0.1312 loss_ctc: 0.1312 2023/01/06 06:08:17 - mmengine - INFO - Epoch(train) [12][5700/7904] lr: 2.4087e-04 eta: 8:00:45 time: 0.4381 data_time: 0.0019 memory: 11161 loss: 0.1422 loss_ctc: 0.1422 2023/01/06 06:09:01 - mmengine - INFO - Epoch(train) [12][5800/7904] lr: 2.4034e-04 eta: 8:00:01 time: 0.4540 data_time: 0.0019 memory: 11161 loss: 0.1351 loss_ctc: 0.1351 2023/01/06 06:09:43 - mmengine - INFO - Epoch(train) [12][5900/7904] lr: 2.3982e-04 eta: 7:59:15 time: 0.3975 data_time: 0.0019 memory: 11161 loss: 0.1403 loss_ctc: 0.1403 2023/01/06 06:10:26 - mmengine - INFO - Epoch(train) [12][6000/7904] lr: 2.3930e-04 eta: 7:58:31 time: 0.4119 data_time: 0.0021 memory: 11161 loss: 0.1322 loss_ctc: 0.1322 2023/01/06 06:10:50 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 06:11:09 - mmengine - INFO - Epoch(train) [12][6100/7904] lr: 2.3878e-04 eta: 7:57:45 time: 0.4467 data_time: 0.0020 memory: 11161 loss: 0.1199 loss_ctc: 0.1199 2023/01/06 06:11:54 - mmengine - INFO - Epoch(train) [12][6200/7904] lr: 2.3825e-04 eta: 7:57:02 time: 0.4380 data_time: 0.0019 memory: 11161 loss: 0.1438 loss_ctc: 0.1438 2023/01/06 06:12:39 - mmengine - INFO - Epoch(train) [12][6300/7904] lr: 2.3773e-04 eta: 7:56:19 time: 0.5041 data_time: 0.0020 memory: 11161 loss: 0.1394 loss_ctc: 0.1394 2023/01/06 06:13:24 - mmengine - INFO - Epoch(train) [12][6400/7904] lr: 2.3721e-04 eta: 7:55:35 time: 0.4428 data_time: 0.0020 memory: 11161 loss: 0.1338 loss_ctc: 0.1338 2023/01/06 06:14:09 - mmengine - INFO - Epoch(train) [12][6500/7904] lr: 2.3669e-04 eta: 7:54:51 time: 0.4381 data_time: 0.0020 memory: 11161 loss: 0.1371 loss_ctc: 0.1371 2023/01/06 06:14:54 - mmengine - INFO - Epoch(train) [12][6600/7904] lr: 2.3616e-04 eta: 7:54:08 time: 0.4518 data_time: 0.0021 memory: 11161 loss: 0.1493 loss_ctc: 0.1493 2023/01/06 06:15:37 - mmengine - INFO - Epoch(train) [12][6700/7904] lr: 2.3564e-04 eta: 7:53:23 time: 0.4199 data_time: 0.0020 memory: 11161 loss: 0.1308 loss_ctc: 0.1308 2023/01/06 06:16:21 - mmengine - INFO - Epoch(train) [12][6800/7904] lr: 2.3512e-04 eta: 7:52:39 time: 0.4061 data_time: 0.0020 memory: 11161 loss: 0.1311 loss_ctc: 0.1311 2023/01/06 06:17:05 - mmengine - INFO - Epoch(train) [12][6900/7904] lr: 2.3460e-04 eta: 7:51:55 time: 0.4533 data_time: 0.0020 memory: 11161 loss: 0.1367 loss_ctc: 0.1367 2023/01/06 06:17:50 - mmengine - INFO - Epoch(train) [12][7000/7904] lr: 2.3408e-04 eta: 7:51:11 time: 0.4914 data_time: 0.0038 memory: 11161 loss: 0.1247 loss_ctc: 0.1247 2023/01/06 06:18:14 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 06:18:33 - mmengine - INFO - Epoch(train) [12][7100/7904] lr: 2.3355e-04 eta: 7:50:27 time: 0.4307 data_time: 0.0020 memory: 11161 loss: 0.1342 loss_ctc: 0.1342 2023/01/06 06:19:16 - mmengine - INFO - Epoch(train) [12][7200/7904] lr: 2.3303e-04 eta: 7:49:42 time: 0.4575 data_time: 0.0019 memory: 11161 loss: 0.1387 loss_ctc: 0.1387 2023/01/06 06:20:01 - mmengine - INFO - Epoch(train) [12][7300/7904] lr: 2.3251e-04 eta: 7:48:58 time: 0.4464 data_time: 0.0020 memory: 11161 loss: 0.1366 loss_ctc: 0.1366 2023/01/06 06:20:45 - mmengine - INFO - Epoch(train) [12][7400/7904] lr: 2.3199e-04 eta: 7:48:14 time: 0.3997 data_time: 0.0020 memory: 11161 loss: 0.1480 loss_ctc: 0.1480 2023/01/06 06:21:29 - mmengine - INFO - Epoch(train) [12][7500/7904] lr: 2.3147e-04 eta: 7:47:30 time: 0.5117 data_time: 0.0019 memory: 11161 loss: 0.1433 loss_ctc: 0.1433 2023/01/06 06:22:13 - mmengine - INFO - Epoch(train) [12][7600/7904] lr: 2.3095e-04 eta: 7:46:46 time: 0.4969 data_time: 0.0020 memory: 11161 loss: 0.1432 loss_ctc: 0.1432 2023/01/06 06:22:58 - mmengine - INFO - Epoch(train) [12][7700/7904] lr: 2.3042e-04 eta: 7:46:02 time: 0.4383 data_time: 0.0020 memory: 11161 loss: 0.1239 loss_ctc: 0.1239 2023/01/06 06:23:41 - mmengine - INFO - Epoch(train) [12][7800/7904] lr: 2.2990e-04 eta: 7:45:18 time: 0.4581 data_time: 0.0023 memory: 11161 loss: 0.1478 loss_ctc: 0.1478 2023/01/06 06:24:21 - mmengine - INFO - Epoch(train) [12][7900/7904] lr: 2.2938e-04 eta: 7:44:31 time: 0.3174 data_time: 0.0014 memory: 11161 loss: 0.1199 loss_ctc: 0.1199 2023/01/06 06:24:22 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 06:24:22 - mmengine - INFO - Saving checkpoint at 12 epochs 2023/01/06 06:24:24 - mmengine - INFO - Epoch(val) [12][15/15] CUTE80/recog/word_acc: 0.1667 CUTE80/recog/word_acc_ignore_case: 0.8646 CUTE80/recog/word_acc_ignore_case_symbol: 0.8646 IIIT5K/recog/word_acc: 0.0657 IIIT5K/recog/word_acc_ignore_case: 0.8510 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8510 SVT/recog/word_acc: 0.9026 SVT/recog/word_acc_ignore_case: 0.9026 SVT/recog/word_acc_ignore_case_symbol: 0.9026 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8326 SVTP/recog/word_acc_ignore_case_symbol: 0.8326 IC13/recog/word_acc: 0.2887 IC13/recog/word_acc_ignore_case: 0.9389 IC13/recog/word_acc_ignore_case_symbol: 0.9389 IC15/recog/word_acc: 0.1151 IC15/recog/word_acc_ignore_case: 0.7318 IC15/recog/word_acc_ignore_case_symbol: 0.7395 CUTE80/recog/char_recall: 0.9379 CUTE80/recog/char_precision: 0.9414 IIIT5K/recog/char_recall: 0.9832 IIIT5K/recog/char_precision: 0.9103 SVT/recog/char_recall: 0.9760 SVT/recog/char_precision: 0.9709 SVTP/recog/char_recall: 0.9369 SVTP/recog/char_precision: 0.9522 IC13/recog/char_recall: 0.9868 IC13/recog/char_precision: 0.9771 IC15/recog/char_recall: 0.9286 IC15/recog/char_precision: 0.8887 2023/01/06 06:25:20 - mmengine - INFO - Epoch(train) [13][ 100/7904] lr: 2.2884e-04 eta: 7:43:52 time: 0.4360 data_time: 0.0019 memory: 11161 loss: 0.1393 loss_ctc: 0.1393 2023/01/06 06:25:43 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 06:26:04 - mmengine - INFO - Epoch(train) [13][ 200/7904] lr: 2.2832e-04 eta: 7:43:08 time: 0.4649 data_time: 0.0020 memory: 11161 loss: 0.1345 loss_ctc: 0.1345 2023/01/06 06:26:48 - mmengine - INFO - Epoch(train) [13][ 300/7904] lr: 2.2780e-04 eta: 7:42:24 time: 0.4326 data_time: 0.0019 memory: 11161 loss: 0.1430 loss_ctc: 0.1430 2023/01/06 06:27:32 - mmengine - INFO - Epoch(train) [13][ 400/7904] lr: 2.2728e-04 eta: 7:41:39 time: 0.3854 data_time: 0.0020 memory: 11161 loss: 0.1338 loss_ctc: 0.1338 2023/01/06 06:28:15 - mmengine - INFO - Epoch(train) [13][ 500/7904] lr: 2.2676e-04 eta: 7:40:55 time: 0.4337 data_time: 0.0020 memory: 11161 loss: 0.1360 loss_ctc: 0.1360 2023/01/06 06:28:58 - mmengine - INFO - Epoch(train) [13][ 600/7904] lr: 2.2623e-04 eta: 7:40:10 time: 0.4028 data_time: 0.0020 memory: 11161 loss: 0.1305 loss_ctc: 0.1305 2023/01/06 06:29:42 - mmengine - INFO - Epoch(train) [13][ 700/7904] lr: 2.2571e-04 eta: 7:39:26 time: 0.4422 data_time: 0.0021 memory: 11161 loss: 0.1169 loss_ctc: 0.1169 2023/01/06 06:30:26 - mmengine - INFO - Epoch(train) [13][ 800/7904] lr: 2.2519e-04 eta: 7:38:42 time: 0.4651 data_time: 0.0021 memory: 11161 loss: 0.1269 loss_ctc: 0.1269 2023/01/06 06:31:11 - mmengine - INFO - Epoch(train) [13][ 900/7904] lr: 2.2467e-04 eta: 7:37:58 time: 0.4628 data_time: 0.0020 memory: 11161 loss: 0.1404 loss_ctc: 0.1404 2023/01/06 06:31:56 - mmengine - INFO - Epoch(train) [13][1000/7904] lr: 2.2415e-04 eta: 7:37:15 time: 0.4960 data_time: 0.0020 memory: 11161 loss: 0.1449 loss_ctc: 0.1449 2023/01/06 06:32:41 - mmengine - INFO - Epoch(train) [13][1100/7904] lr: 2.2363e-04 eta: 7:36:31 time: 0.4278 data_time: 0.0020 memory: 11161 loss: 0.1432 loss_ctc: 0.1432 2023/01/06 06:33:05 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 06:33:26 - mmengine - INFO - Epoch(train) [13][1200/7904] lr: 2.2311e-04 eta: 7:35:47 time: 0.4647 data_time: 0.0020 memory: 11161 loss: 0.1413 loss_ctc: 0.1413 2023/01/06 06:34:09 - mmengine - INFO - Epoch(train) [13][1300/7904] lr: 2.2259e-04 eta: 7:35:03 time: 0.4312 data_time: 0.0020 memory: 11161 loss: 0.1392 loss_ctc: 0.1392 2023/01/06 06:34:54 - mmengine - INFO - Epoch(train) [13][1400/7904] lr: 2.2207e-04 eta: 7:34:19 time: 0.4485 data_time: 0.0020 memory: 11161 loss: 0.1336 loss_ctc: 0.1336 2023/01/06 06:35:38 - mmengine - INFO - Epoch(train) [13][1500/7904] lr: 2.2155e-04 eta: 7:33:35 time: 0.4454 data_time: 0.0020 memory: 11161 loss: 0.1359 loss_ctc: 0.1359 2023/01/06 06:36:22 - mmengine - INFO - Epoch(train) [13][1600/7904] lr: 2.2103e-04 eta: 7:32:51 time: 0.4103 data_time: 0.0020 memory: 11161 loss: 0.1428 loss_ctc: 0.1428 2023/01/06 06:37:07 - mmengine - INFO - Epoch(train) [13][1700/7904] lr: 2.2051e-04 eta: 7:32:07 time: 0.4542 data_time: 0.0020 memory: 11161 loss: 0.1196 loss_ctc: 0.1196 2023/01/06 06:37:51 - mmengine - INFO - Epoch(train) [13][1800/7904] lr: 2.2000e-04 eta: 7:31:23 time: 0.4183 data_time: 0.0020 memory: 11161 loss: 0.1451 loss_ctc: 0.1451 2023/01/06 06:38:36 - mmengine - INFO - Epoch(train) [13][1900/7904] lr: 2.1948e-04 eta: 7:30:40 time: 0.5108 data_time: 0.0020 memory: 11161 loss: 0.1399 loss_ctc: 0.1399 2023/01/06 06:39:20 - mmengine - INFO - Epoch(train) [13][2000/7904] lr: 2.1896e-04 eta: 7:29:56 time: 0.4429 data_time: 0.0020 memory: 11161 loss: 0.1389 loss_ctc: 0.1389 2023/01/06 06:40:04 - mmengine - INFO - Epoch(train) [13][2100/7904] lr: 2.1844e-04 eta: 7:29:12 time: 0.4108 data_time: 0.0020 memory: 11161 loss: 0.1324 loss_ctc: 0.1324 2023/01/06 06:40:27 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 06:40:48 - mmengine - INFO - Epoch(train) [13][2200/7904] lr: 2.1792e-04 eta: 7:28:27 time: 0.4305 data_time: 0.0020 memory: 11161 loss: 0.1221 loss_ctc: 0.1221 2023/01/06 06:41:30 - mmengine - INFO - Epoch(train) [13][2300/7904] lr: 2.1740e-04 eta: 7:27:42 time: 0.4459 data_time: 0.0021 memory: 11161 loss: 0.1208 loss_ctc: 0.1208 2023/01/06 06:42:15 - mmengine - INFO - Epoch(train) [13][2400/7904] lr: 2.1688e-04 eta: 7:26:58 time: 0.4650 data_time: 0.0020 memory: 11161 loss: 0.1181 loss_ctc: 0.1181 2023/01/06 06:42:59 - mmengine - INFO - Epoch(train) [13][2500/7904] lr: 2.1636e-04 eta: 7:26:14 time: 0.4306 data_time: 0.0020 memory: 11161 loss: 0.1275 loss_ctc: 0.1275 2023/01/06 06:43:44 - mmengine - INFO - Epoch(train) [13][2600/7904] lr: 2.1585e-04 eta: 7:25:30 time: 0.4435 data_time: 0.0020 memory: 11161 loss: 0.1348 loss_ctc: 0.1348 2023/01/06 06:44:30 - mmengine - INFO - Epoch(train) [13][2700/7904] lr: 2.1533e-04 eta: 7:24:48 time: 0.4280 data_time: 0.0020 memory: 11161 loss: 0.1209 loss_ctc: 0.1209 2023/01/06 06:45:16 - mmengine - INFO - Epoch(train) [13][2800/7904] lr: 2.1481e-04 eta: 7:24:05 time: 0.4278 data_time: 0.0020 memory: 11161 loss: 0.1385 loss_ctc: 0.1385 2023/01/06 06:46:02 - mmengine - INFO - Epoch(train) [13][2900/7904] lr: 2.1429e-04 eta: 7:23:22 time: 0.4782 data_time: 0.0020 memory: 11161 loss: 0.1374 loss_ctc: 0.1374 2023/01/06 06:46:46 - mmengine - INFO - Epoch(train) [13][3000/7904] lr: 2.1378e-04 eta: 7:22:37 time: 0.4419 data_time: 0.0021 memory: 11161 loss: 0.1240 loss_ctc: 0.1240 2023/01/06 06:47:30 - mmengine - INFO - Epoch(train) [13][3100/7904] lr: 2.1326e-04 eta: 7:21:54 time: 0.4253 data_time: 0.0020 memory: 11161 loss: 0.1389 loss_ctc: 0.1389 2023/01/06 06:47:53 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 06:48:14 - mmengine - INFO - Epoch(train) [13][3200/7904] lr: 2.1274e-04 eta: 7:21:09 time: 0.4685 data_time: 0.0021 memory: 11161 loss: 0.1352 loss_ctc: 0.1352 2023/01/06 06:48:57 - mmengine - INFO - Epoch(train) [13][3300/7904] lr: 2.1222e-04 eta: 7:20:24 time: 0.4817 data_time: 0.0020 memory: 11161 loss: 0.1362 loss_ctc: 0.1362 2023/01/06 06:49:41 - mmengine - INFO - Epoch(train) [13][3400/7904] lr: 2.1171e-04 eta: 7:19:40 time: 0.4278 data_time: 0.0020 memory: 11161 loss: 0.1134 loss_ctc: 0.1134 2023/01/06 06:50:26 - mmengine - INFO - Epoch(train) [13][3500/7904] lr: 2.1119e-04 eta: 7:18:57 time: 0.4538 data_time: 0.0020 memory: 11161 loss: 0.1348 loss_ctc: 0.1348 2023/01/06 06:51:10 - mmengine - INFO - Epoch(train) [13][3600/7904] lr: 2.1067e-04 eta: 7:18:13 time: 0.4541 data_time: 0.0021 memory: 11161 loss: 0.1289 loss_ctc: 0.1289 2023/01/06 06:51:54 - mmengine - INFO - Epoch(train) [13][3700/7904] lr: 2.1016e-04 eta: 7:17:28 time: 0.3957 data_time: 0.0020 memory: 11161 loss: 0.1244 loss_ctc: 0.1244 2023/01/06 06:52:37 - mmengine - INFO - Epoch(train) [13][3800/7904] lr: 2.0964e-04 eta: 7:16:44 time: 0.4104 data_time: 0.0021 memory: 11161 loss: 0.1129 loss_ctc: 0.1129 2023/01/06 06:53:21 - mmengine - INFO - Epoch(train) [13][3900/7904] lr: 2.0912e-04 eta: 7:16:00 time: 0.3936 data_time: 0.0020 memory: 11161 loss: 0.1367 loss_ctc: 0.1367 2023/01/06 06:54:06 - mmengine - INFO - Epoch(train) [13][4000/7904] lr: 2.0861e-04 eta: 7:15:16 time: 0.4072 data_time: 0.0020 memory: 11161 loss: 0.1289 loss_ctc: 0.1289 2023/01/06 06:54:51 - mmengine - INFO - Epoch(train) [13][4100/7904] lr: 2.0809e-04 eta: 7:14:33 time: 0.4464 data_time: 0.0020 memory: 11161 loss: 0.1389 loss_ctc: 0.1389 2023/01/06 06:55:15 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 06:55:38 - mmengine - INFO - Epoch(train) [13][4200/7904] lr: 2.0758e-04 eta: 7:13:50 time: 0.4638 data_time: 0.0021 memory: 11161 loss: 0.1392 loss_ctc: 0.1392 2023/01/06 06:56:22 - mmengine - INFO - Epoch(train) [13][4300/7904] lr: 2.0706e-04 eta: 7:13:06 time: 0.4637 data_time: 0.0020 memory: 11161 loss: 0.1477 loss_ctc: 0.1477 2023/01/06 06:57:06 - mmengine - INFO - Epoch(train) [13][4400/7904] lr: 2.0655e-04 eta: 7:12:22 time: 0.4260 data_time: 0.0020 memory: 11161 loss: 0.1348 loss_ctc: 0.1348 2023/01/06 06:57:49 - mmengine - INFO - Epoch(train) [13][4500/7904] lr: 2.0603e-04 eta: 7:11:37 time: 0.4310 data_time: 0.0020 memory: 11161 loss: 0.1312 loss_ctc: 0.1312 2023/01/06 06:58:34 - mmengine - INFO - Epoch(train) [13][4600/7904] lr: 2.0552e-04 eta: 7:10:53 time: 0.4368 data_time: 0.0020 memory: 11161 loss: 0.1212 loss_ctc: 0.1212 2023/01/06 06:59:18 - mmengine - INFO - Epoch(train) [13][4700/7904] lr: 2.0500e-04 eta: 7:10:09 time: 0.4187 data_time: 0.0020 memory: 11161 loss: 0.1268 loss_ctc: 0.1268 2023/01/06 07:00:01 - mmengine - INFO - Epoch(train) [13][4800/7904] lr: 2.0449e-04 eta: 7:09:25 time: 0.4774 data_time: 0.0020 memory: 11161 loss: 0.1111 loss_ctc: 0.1111 2023/01/06 07:00:46 - mmengine - INFO - Epoch(train) [13][4900/7904] lr: 2.0397e-04 eta: 7:08:41 time: 0.4556 data_time: 0.0020 memory: 11161 loss: 0.1184 loss_ctc: 0.1184 2023/01/06 07:01:30 - mmengine - INFO - Epoch(train) [13][5000/7904] lr: 2.0346e-04 eta: 7:07:57 time: 0.4597 data_time: 0.0020 memory: 11161 loss: 0.1336 loss_ctc: 0.1336 2023/01/06 07:02:14 - mmengine - INFO - Epoch(train) [13][5100/7904] lr: 2.0295e-04 eta: 7:07:12 time: 0.4453 data_time: 0.0020 memory: 11161 loss: 0.1356 loss_ctc: 0.1356 2023/01/06 07:02:37 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 07:02:58 - mmengine - INFO - Epoch(train) [13][5200/7904] lr: 2.0243e-04 eta: 7:06:28 time: 0.4350 data_time: 0.0020 memory: 11161 loss: 0.1319 loss_ctc: 0.1319 2023/01/06 07:03:42 - mmengine - INFO - Epoch(train) [13][5300/7904] lr: 2.0192e-04 eta: 7:05:44 time: 0.4286 data_time: 0.0020 memory: 11161 loss: 0.1288 loss_ctc: 0.1288 2023/01/06 07:04:25 - mmengine - INFO - Epoch(train) [13][5400/7904] lr: 2.0141e-04 eta: 7:05:00 time: 0.3970 data_time: 0.0020 memory: 11161 loss: 0.1337 loss_ctc: 0.1337 2023/01/06 07:05:08 - mmengine - INFO - Epoch(train) [13][5500/7904] lr: 2.0089e-04 eta: 7:04:14 time: 0.4369 data_time: 0.0020 memory: 11161 loss: 0.1287 loss_ctc: 0.1287 2023/01/06 07:05:53 - mmengine - INFO - Epoch(train) [13][5600/7904] lr: 2.0038e-04 eta: 7:03:31 time: 0.4305 data_time: 0.0021 memory: 11161 loss: 0.1307 loss_ctc: 0.1307 2023/01/06 07:06:36 - mmengine - INFO - Epoch(train) [13][5700/7904] lr: 1.9987e-04 eta: 7:02:46 time: 0.4876 data_time: 0.0020 memory: 11161 loss: 0.1297 loss_ctc: 0.1297 2023/01/06 07:07:20 - mmengine - INFO - Epoch(train) [13][5800/7904] lr: 1.9936e-04 eta: 7:02:02 time: 0.4305 data_time: 0.0020 memory: 11161 loss: 0.1316 loss_ctc: 0.1316 2023/01/06 07:08:05 - mmengine - INFO - Epoch(train) [13][5900/7904] lr: 1.9884e-04 eta: 7:01:18 time: 0.4451 data_time: 0.0021 memory: 11161 loss: 0.1287 loss_ctc: 0.1287 2023/01/06 07:08:50 - mmengine - INFO - Epoch(train) [13][6000/7904] lr: 1.9833e-04 eta: 7:00:35 time: 0.4352 data_time: 0.0021 memory: 11161 loss: 0.1296 loss_ctc: 0.1296 2023/01/06 07:09:34 - mmengine - INFO - Epoch(train) [13][6100/7904] lr: 1.9782e-04 eta: 6:59:51 time: 0.4441 data_time: 0.0020 memory: 11161 loss: 0.1211 loss_ctc: 0.1211 2023/01/06 07:09:55 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 07:10:16 - mmengine - INFO - Epoch(train) [13][6200/7904] lr: 1.9731e-04 eta: 6:59:05 time: 0.4386 data_time: 0.0021 memory: 11161 loss: 0.1443 loss_ctc: 0.1443 2023/01/06 07:11:00 - mmengine - INFO - Epoch(train) [13][6300/7904] lr: 1.9680e-04 eta: 6:58:21 time: 0.4358 data_time: 0.0021 memory: 11161 loss: 0.1439 loss_ctc: 0.1439 2023/01/06 07:11:45 - mmengine - INFO - Epoch(train) [13][6400/7904] lr: 1.9629e-04 eta: 6:57:37 time: 0.4718 data_time: 0.0021 memory: 11161 loss: 0.1392 loss_ctc: 0.1392 2023/01/06 07:12:28 - mmengine - INFO - Epoch(train) [13][6500/7904] lr: 1.9578e-04 eta: 6:56:53 time: 0.3755 data_time: 0.0020 memory: 11161 loss: 0.1241 loss_ctc: 0.1241 2023/01/06 07:13:10 - mmengine - INFO - Epoch(train) [13][6600/7904] lr: 1.9527e-04 eta: 6:56:07 time: 0.4127 data_time: 0.0020 memory: 11161 loss: 0.1262 loss_ctc: 0.1262 2023/01/06 07:13:54 - mmengine - INFO - Epoch(train) [13][6700/7904] lr: 1.9476e-04 eta: 6:55:24 time: 0.4702 data_time: 0.0020 memory: 11161 loss: 0.1219 loss_ctc: 0.1219 2023/01/06 07:14:39 - mmengine - INFO - Epoch(train) [13][6800/7904] lr: 1.9425e-04 eta: 6:54:40 time: 0.4537 data_time: 0.0020 memory: 11161 loss: 0.1259 loss_ctc: 0.1259 2023/01/06 07:15:23 - mmengine - INFO - Epoch(train) [13][6900/7904] lr: 1.9374e-04 eta: 6:53:56 time: 0.4428 data_time: 0.0020 memory: 11161 loss: 0.1345 loss_ctc: 0.1345 2023/01/06 07:16:08 - mmengine - INFO - Epoch(train) [13][7000/7904] lr: 1.9323e-04 eta: 6:53:12 time: 0.3970 data_time: 0.0024 memory: 11161 loss: 0.1224 loss_ctc: 0.1224 2023/01/06 07:16:54 - mmengine - INFO - Epoch(train) [13][7100/7904] lr: 1.9272e-04 eta: 6:52:29 time: 0.4255 data_time: 0.0021 memory: 11161 loss: 0.1371 loss_ctc: 0.1371 2023/01/06 07:17:18 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 07:17:39 - mmengine - INFO - Epoch(train) [13][7200/7904] lr: 1.9221e-04 eta: 6:51:45 time: 0.4418 data_time: 0.0020 memory: 11161 loss: 0.1309 loss_ctc: 0.1309 2023/01/06 07:18:22 - mmengine - INFO - Epoch(train) [13][7300/7904] lr: 1.9170e-04 eta: 6:51:01 time: 0.4413 data_time: 0.0021 memory: 11161 loss: 0.1226 loss_ctc: 0.1226 2023/01/06 07:19:07 - mmengine - INFO - Epoch(train) [13][7400/7904] lr: 1.9119e-04 eta: 6:50:17 time: 0.4135 data_time: 0.0020 memory: 11161 loss: 0.1255 loss_ctc: 0.1255 2023/01/06 07:19:50 - mmengine - INFO - Epoch(train) [13][7500/7904] lr: 1.9068e-04 eta: 6:49:32 time: 0.4340 data_time: 0.0020 memory: 11161 loss: 0.1325 loss_ctc: 0.1325 2023/01/06 07:20:33 - mmengine - INFO - Epoch(train) [13][7600/7904] lr: 1.9018e-04 eta: 6:48:48 time: 0.4567 data_time: 0.0020 memory: 11161 loss: 0.1304 loss_ctc: 0.1304 2023/01/06 07:21:16 - mmengine - INFO - Epoch(train) [13][7700/7904] lr: 1.8967e-04 eta: 6:48:03 time: 0.4196 data_time: 0.0021 memory: 11161 loss: 0.1229 loss_ctc: 0.1229 2023/01/06 07:22:00 - mmengine - INFO - Epoch(train) [13][7800/7904] lr: 1.8916e-04 eta: 6:47:19 time: 0.4465 data_time: 0.0020 memory: 11161 loss: 0.1314 loss_ctc: 0.1314 2023/01/06 07:22:39 - mmengine - INFO - Epoch(train) [13][7900/7904] lr: 1.8865e-04 eta: 6:46:32 time: 0.3103 data_time: 0.0015 memory: 11161 loss: 0.1265 loss_ctc: 0.1265 2023/01/06 07:22:40 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 07:22:40 - mmengine - INFO - Saving checkpoint at 13 epochs 2023/01/06 07:22:42 - mmengine - INFO - Epoch(val) [13][15/15] CUTE80/recog/word_acc: 0.1667 CUTE80/recog/word_acc_ignore_case: 0.8715 CUTE80/recog/word_acc_ignore_case_symbol: 0.8715 IIIT5K/recog/word_acc: 0.0643 IIIT5K/recog/word_acc_ignore_case: 0.8450 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8450 SVT/recog/word_acc: 0.8856 SVT/recog/word_acc_ignore_case: 0.8856 SVT/recog/word_acc_ignore_case_symbol: 0.8856 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8202 SVTP/recog/word_acc_ignore_case_symbol: 0.8202 IC13/recog/word_acc: 0.2897 IC13/recog/word_acc_ignore_case: 0.9360 IC13/recog/word_acc_ignore_case_symbol: 0.9360 IC15/recog/word_acc: 0.1160 IC15/recog/word_acc_ignore_case: 0.7265 IC15/recog/word_acc_ignore_case_symbol: 0.7333 CUTE80/recog/char_recall: 0.9391 CUTE80/recog/char_precision: 0.9451 IIIT5K/recog/char_recall: 0.9804 IIIT5K/recog/char_precision: 0.9084 SVT/recog/char_recall: 0.9750 SVT/recog/char_precision: 0.9613 SVTP/recog/char_recall: 0.9356 SVTP/recog/char_precision: 0.9481 IC13/recog/char_recall: 0.9883 IC13/recog/char_precision: 0.9721 IC15/recog/char_recall: 0.9271 IC15/recog/char_precision: 0.8891 2023/01/06 07:23:39 - mmengine - INFO - Epoch(train) [14][ 100/7904] lr: 1.8813e-04 eta: 6:45:53 time: 0.4355 data_time: 0.0020 memory: 11161 loss: 0.1193 loss_ctc: 0.1193 2023/01/06 07:24:25 - mmengine - INFO - Epoch(train) [14][ 200/7904] lr: 1.8762e-04 eta: 6:45:10 time: 0.4871 data_time: 0.0020 memory: 11161 loss: 0.1219 loss_ctc: 0.1219 2023/01/06 07:24:46 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 07:25:08 - mmengine - INFO - Epoch(train) [14][ 300/7904] lr: 1.8711e-04 eta: 6:44:25 time: 0.4228 data_time: 0.0020 memory: 11161 loss: 0.1213 loss_ctc: 0.1213 2023/01/06 07:25:52 - mmengine - INFO - Epoch(train) [14][ 400/7904] lr: 1.8661e-04 eta: 6:43:40 time: 0.4380 data_time: 0.0020 memory: 11161 loss: 0.1295 loss_ctc: 0.1295 2023/01/06 07:26:35 - mmengine - INFO - Epoch(train) [14][ 500/7904] lr: 1.8610e-04 eta: 6:42:56 time: 0.4170 data_time: 0.0020 memory: 11161 loss: 0.1255 loss_ctc: 0.1255 2023/01/06 07:27:20 - mmengine - INFO - Epoch(train) [14][ 600/7904] lr: 1.8560e-04 eta: 6:42:12 time: 0.4784 data_time: 0.0020 memory: 11161 loss: 0.1337 loss_ctc: 0.1337 2023/01/06 07:28:04 - mmengine - INFO - Epoch(train) [14][ 700/7904] lr: 1.8509e-04 eta: 6:41:28 time: 0.3989 data_time: 0.0020 memory: 11161 loss: 0.1368 loss_ctc: 0.1368 2023/01/06 07:28:49 - mmengine - INFO - Epoch(train) [14][ 800/7904] lr: 1.8459e-04 eta: 6:40:45 time: 0.4164 data_time: 0.0021 memory: 11161 loss: 0.1448 loss_ctc: 0.1448 2023/01/06 07:29:32 - mmengine - INFO - Epoch(train) [14][ 900/7904] lr: 1.8408e-04 eta: 6:40:00 time: 0.3886 data_time: 0.0020 memory: 11161 loss: 0.1322 loss_ctc: 0.1322 2023/01/06 07:30:15 - mmengine - INFO - Epoch(train) [14][1000/7904] lr: 1.8358e-04 eta: 6:39:15 time: 0.4248 data_time: 0.0020 memory: 11161 loss: 0.1244 loss_ctc: 0.1244 2023/01/06 07:30:57 - mmengine - INFO - Epoch(train) [14][1100/7904] lr: 1.8307e-04 eta: 6:38:30 time: 0.4328 data_time: 0.0020 memory: 11161 loss: 0.1263 loss_ctc: 0.1263 2023/01/06 07:31:41 - mmengine - INFO - Epoch(train) [14][1200/7904] lr: 1.8257e-04 eta: 6:37:46 time: 0.4423 data_time: 0.0019 memory: 11161 loss: 0.1614 loss_ctc: 0.1614 2023/01/06 07:32:02 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 07:32:25 - mmengine - INFO - Epoch(train) [14][1300/7904] lr: 1.8207e-04 eta: 6:37:01 time: 0.4161 data_time: 0.0020 memory: 11161 loss: 0.1232 loss_ctc: 0.1232 2023/01/06 07:33:09 - mmengine - INFO - Epoch(train) [14][1400/7904] lr: 1.8156e-04 eta: 6:36:17 time: 0.4794 data_time: 0.0020 memory: 11161 loss: 0.1364 loss_ctc: 0.1364 2023/01/06 07:33:55 - mmengine - INFO - Epoch(train) [14][1500/7904] lr: 1.8106e-04 eta: 6:35:34 time: 0.4775 data_time: 0.0020 memory: 11161 loss: 0.1213 loss_ctc: 0.1213 2023/01/06 07:34:37 - mmengine - INFO - Epoch(train) [14][1600/7904] lr: 1.8056e-04 eta: 6:34:49 time: 0.4792 data_time: 0.0021 memory: 11161 loss: 0.1241 loss_ctc: 0.1241 2023/01/06 07:35:20 - mmengine - INFO - Epoch(train) [14][1700/7904] lr: 1.8006e-04 eta: 6:34:05 time: 0.4483 data_time: 0.0020 memory: 11161 loss: 0.1326 loss_ctc: 0.1326 2023/01/06 07:36:05 - mmengine - INFO - Epoch(train) [14][1800/7904] lr: 1.7955e-04 eta: 6:33:21 time: 0.4459 data_time: 0.0020 memory: 11161 loss: 0.1386 loss_ctc: 0.1386 2023/01/06 07:36:51 - mmengine - INFO - Epoch(train) [14][1900/7904] lr: 1.7905e-04 eta: 6:32:38 time: 0.4410 data_time: 0.0021 memory: 11161 loss: 0.1305 loss_ctc: 0.1305 2023/01/06 07:37:36 - mmengine - INFO - Epoch(train) [14][2000/7904] lr: 1.7855e-04 eta: 6:31:54 time: 0.4243 data_time: 0.0020 memory: 11161 loss: 0.1258 loss_ctc: 0.1258 2023/01/06 07:38:20 - mmengine - INFO - Epoch(train) [14][2100/7904] lr: 1.7805e-04 eta: 6:31:10 time: 0.4316 data_time: 0.0020 memory: 11161 loss: 0.1149 loss_ctc: 0.1149 2023/01/06 07:39:05 - mmengine - INFO - Epoch(train) [14][2200/7904] lr: 1.7755e-04 eta: 6:30:26 time: 0.4850 data_time: 0.0020 memory: 11161 loss: 0.1204 loss_ctc: 0.1204 2023/01/06 07:39:26 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 07:39:48 - mmengine - INFO - Epoch(train) [14][2300/7904] lr: 1.7705e-04 eta: 6:29:42 time: 0.4648 data_time: 0.0020 memory: 11161 loss: 0.1222 loss_ctc: 0.1222 2023/01/06 07:40:32 - mmengine - INFO - Epoch(train) [14][2400/7904] lr: 1.7655e-04 eta: 6:28:57 time: 0.4166 data_time: 0.0020 memory: 11161 loss: 0.1430 loss_ctc: 0.1430 2023/01/06 07:41:16 - mmengine - INFO - Epoch(train) [14][2500/7904] lr: 1.7605e-04 eta: 6:28:13 time: 0.4467 data_time: 0.0020 memory: 11161 loss: 0.1373 loss_ctc: 0.1373 2023/01/06 07:42:01 - mmengine - INFO - Epoch(train) [14][2600/7904] lr: 1.7555e-04 eta: 6:27:30 time: 0.4710 data_time: 0.0020 memory: 11161 loss: 0.1232 loss_ctc: 0.1232 2023/01/06 07:42:46 - mmengine - INFO - Epoch(train) [14][2700/7904] lr: 1.7505e-04 eta: 6:26:46 time: 0.4706 data_time: 0.0021 memory: 11161 loss: 0.1345 loss_ctc: 0.1345 2023/01/06 07:43:30 - mmengine - INFO - Epoch(train) [14][2800/7904] lr: 1.7455e-04 eta: 6:26:02 time: 0.4181 data_time: 0.0020 memory: 11161 loss: 0.1093 loss_ctc: 0.1093 2023/01/06 07:44:13 - mmengine - INFO - Epoch(train) [14][2900/7904] lr: 1.7405e-04 eta: 6:25:17 time: 0.4420 data_time: 0.0020 memory: 11161 loss: 0.1183 loss_ctc: 0.1183 2023/01/06 07:44:57 - mmengine - INFO - Epoch(train) [14][3000/7904] lr: 1.7355e-04 eta: 6:24:33 time: 0.4405 data_time: 0.0021 memory: 11161 loss: 0.1309 loss_ctc: 0.1309 2023/01/06 07:45:39 - mmengine - INFO - Epoch(train) [14][3100/7904] lr: 1.7306e-04 eta: 6:23:48 time: 0.4111 data_time: 0.0021 memory: 11161 loss: 0.1194 loss_ctc: 0.1194 2023/01/06 07:46:23 - mmengine - INFO - Epoch(train) [14][3200/7904] lr: 1.7256e-04 eta: 6:23:03 time: 0.3860 data_time: 0.0020 memory: 11161 loss: 0.1236 loss_ctc: 0.1236 2023/01/06 07:46:44 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 07:47:08 - mmengine - INFO - Epoch(train) [14][3300/7904] lr: 1.7206e-04 eta: 6:22:20 time: 0.4215 data_time: 0.0020 memory: 11161 loss: 0.1127 loss_ctc: 0.1127 2023/01/06 07:47:52 - mmengine - INFO - Epoch(train) [14][3400/7904] lr: 1.7157e-04 eta: 6:21:36 time: 0.4433 data_time: 0.0021 memory: 11161 loss: 0.1223 loss_ctc: 0.1223 2023/01/06 07:48:36 - mmengine - INFO - Epoch(train) [14][3500/7904] lr: 1.7107e-04 eta: 6:20:52 time: 0.4077 data_time: 0.0021 memory: 11161 loss: 0.1219 loss_ctc: 0.1219 2023/01/06 07:49:21 - mmengine - INFO - Epoch(train) [14][3600/7904] lr: 1.7057e-04 eta: 6:20:08 time: 0.4668 data_time: 0.0020 memory: 11161 loss: 0.1284 loss_ctc: 0.1284 2023/01/06 07:50:06 - mmengine - INFO - Epoch(train) [14][3700/7904] lr: 1.7008e-04 eta: 6:19:25 time: 0.4724 data_time: 0.0023 memory: 11161 loss: 0.1234 loss_ctc: 0.1234 2023/01/06 07:50:49 - mmengine - INFO - Epoch(train) [14][3800/7904] lr: 1.6958e-04 eta: 6:18:40 time: 0.4346 data_time: 0.0022 memory: 11161 loss: 0.1265 loss_ctc: 0.1265 2023/01/06 07:51:32 - mmengine - INFO - Epoch(train) [14][3900/7904] lr: 1.6909e-04 eta: 6:17:55 time: 0.4389 data_time: 0.0021 memory: 11161 loss: 0.1263 loss_ctc: 0.1263 2023/01/06 07:52:17 - mmengine - INFO - Epoch(train) [14][4000/7904] lr: 1.6859e-04 eta: 6:17:12 time: 0.4253 data_time: 0.0020 memory: 11161 loss: 0.1171 loss_ctc: 0.1171 2023/01/06 07:53:03 - mmengine - INFO - Epoch(train) [14][4100/7904] lr: 1.6810e-04 eta: 6:16:28 time: 0.4351 data_time: 0.0020 memory: 11161 loss: 0.1342 loss_ctc: 0.1342 2023/01/06 07:53:48 - mmengine - INFO - Epoch(train) [14][4200/7904] lr: 1.6760e-04 eta: 6:15:45 time: 0.4148 data_time: 0.0021 memory: 11161 loss: 0.1333 loss_ctc: 0.1333 2023/01/06 07:54:10 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 07:54:33 - mmengine - INFO - Epoch(train) [14][4300/7904] lr: 1.6711e-04 eta: 6:15:01 time: 0.4405 data_time: 0.0020 memory: 11161 loss: 0.1111 loss_ctc: 0.1111 2023/01/06 07:55:17 - mmengine - INFO - Epoch(train) [14][4400/7904] lr: 1.6662e-04 eta: 6:14:16 time: 0.4342 data_time: 0.0020 memory: 11161 loss: 0.1258 loss_ctc: 0.1258 2023/01/06 07:56:02 - mmengine - INFO - Epoch(train) [14][4500/7904] lr: 1.6612e-04 eta: 6:13:33 time: 0.4370 data_time: 0.0020 memory: 11161 loss: 0.1283 loss_ctc: 0.1283 2023/01/06 07:56:45 - mmengine - INFO - Epoch(train) [14][4600/7904] lr: 1.6563e-04 eta: 6:12:48 time: 0.4581 data_time: 0.0020 memory: 11161 loss: 0.1344 loss_ctc: 0.1344 2023/01/06 07:57:31 - mmengine - INFO - Epoch(train) [14][4700/7904] lr: 1.6514e-04 eta: 6:12:05 time: 0.4713 data_time: 0.0021 memory: 11161 loss: 0.1222 loss_ctc: 0.1222 2023/01/06 07:58:14 - mmengine - INFO - Epoch(train) [14][4800/7904] lr: 1.6465e-04 eta: 6:11:21 time: 0.4926 data_time: 0.0021 memory: 11161 loss: 0.1327 loss_ctc: 0.1327 2023/01/06 07:58:58 - mmengine - INFO - Epoch(train) [14][4900/7904] lr: 1.6416e-04 eta: 6:10:36 time: 0.4614 data_time: 0.0021 memory: 11161 loss: 0.1248 loss_ctc: 0.1248 2023/01/06 07:59:42 - mmengine - INFO - Epoch(train) [14][5000/7904] lr: 1.6367e-04 eta: 6:09:52 time: 0.4848 data_time: 0.0020 memory: 11161 loss: 0.1198 loss_ctc: 0.1198 2023/01/06 08:00:27 - mmengine - INFO - Epoch(train) [14][5100/7904] lr: 1.6318e-04 eta: 6:09:08 time: 0.4416 data_time: 0.0020 memory: 11161 loss: 0.1250 loss_ctc: 0.1250 2023/01/06 08:01:10 - mmengine - INFO - Epoch(train) [14][5200/7904] lr: 1.6269e-04 eta: 6:08:24 time: 0.4289 data_time: 0.0020 memory: 11161 loss: 0.1299 loss_ctc: 0.1299 2023/01/06 08:01:31 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 08:01:54 - mmengine - INFO - Epoch(train) [14][5300/7904] lr: 1.6220e-04 eta: 6:07:40 time: 0.4740 data_time: 0.0020 memory: 11161 loss: 0.1187 loss_ctc: 0.1187 2023/01/06 08:02:38 - mmengine - INFO - Epoch(train) [14][5400/7904] lr: 1.6171e-04 eta: 6:06:56 time: 0.4472 data_time: 0.0020 memory: 11161 loss: 0.1297 loss_ctc: 0.1297 2023/01/06 08:03:23 - mmengine - INFO - Epoch(train) [14][5500/7904] lr: 1.6122e-04 eta: 6:06:12 time: 0.4585 data_time: 0.0020 memory: 11161 loss: 0.1096 loss_ctc: 0.1096 2023/01/06 08:04:07 - mmengine - INFO - Epoch(train) [14][5600/7904] lr: 1.6073e-04 eta: 6:05:28 time: 0.4366 data_time: 0.0020 memory: 11161 loss: 0.1230 loss_ctc: 0.1230 2023/01/06 08:04:51 - mmengine - INFO - Epoch(train) [14][5700/7904] lr: 1.6024e-04 eta: 6:04:44 time: 0.4773 data_time: 0.0023 memory: 11161 loss: 0.1205 loss_ctc: 0.1205 2023/01/06 08:05:34 - mmengine - INFO - Epoch(train) [14][5800/7904] lr: 1.5975e-04 eta: 6:03:59 time: 0.4657 data_time: 0.0021 memory: 11161 loss: 0.1237 loss_ctc: 0.1237 2023/01/06 08:06:18 - mmengine - INFO - Epoch(train) [14][5900/7904] lr: 1.5926e-04 eta: 6:03:15 time: 0.4355 data_time: 0.0021 memory: 11161 loss: 0.1295 loss_ctc: 0.1295 2023/01/06 08:07:02 - mmengine - INFO - Epoch(train) [14][6000/7904] lr: 1.5878e-04 eta: 6:02:31 time: 0.4496 data_time: 0.0036 memory: 11161 loss: 0.1279 loss_ctc: 0.1279 2023/01/06 08:07:46 - mmengine - INFO - Epoch(train) [14][6100/7904] lr: 1.5829e-04 eta: 6:01:46 time: 0.4229 data_time: 0.0020 memory: 11161 loss: 0.1228 loss_ctc: 0.1228 2023/01/06 08:08:32 - mmengine - INFO - Epoch(train) [14][6200/7904] lr: 1.5780e-04 eta: 6:01:03 time: 0.4845 data_time: 0.0020 memory: 11161 loss: 0.1262 loss_ctc: 0.1262 2023/01/06 08:08:54 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 08:09:17 - mmengine - INFO - Epoch(train) [14][6300/7904] lr: 1.5732e-04 eta: 6:00:19 time: 0.4264 data_time: 0.0020 memory: 11161 loss: 0.1093 loss_ctc: 0.1093 2023/01/06 08:10:00 - mmengine - INFO - Epoch(train) [14][6400/7904] lr: 1.5683e-04 eta: 5:59:35 time: 0.4480 data_time: 0.0020 memory: 11161 loss: 0.1197 loss_ctc: 0.1197 2023/01/06 08:10:44 - mmengine - INFO - Epoch(train) [14][6500/7904] lr: 1.5635e-04 eta: 5:58:51 time: 0.3964 data_time: 0.0020 memory: 11161 loss: 0.1360 loss_ctc: 0.1360 2023/01/06 08:11:30 - mmengine - INFO - Epoch(train) [14][6600/7904] lr: 1.5586e-04 eta: 5:58:07 time: 0.4541 data_time: 0.0020 memory: 11161 loss: 0.1335 loss_ctc: 0.1335 2023/01/06 08:12:14 - mmengine - INFO - Epoch(train) [14][6700/7904] lr: 1.5538e-04 eta: 5:57:23 time: 0.4227 data_time: 0.0021 memory: 11161 loss: 0.1138 loss_ctc: 0.1138 2023/01/06 08:13:00 - mmengine - INFO - Epoch(train) [14][6800/7904] lr: 1.5489e-04 eta: 5:56:40 time: 0.4448 data_time: 0.0020 memory: 11161 loss: 0.1273 loss_ctc: 0.1273 2023/01/06 08:13:45 - mmengine - INFO - Epoch(train) [14][6900/7904] lr: 1.5441e-04 eta: 5:55:57 time: 0.4911 data_time: 0.0021 memory: 11161 loss: 0.1262 loss_ctc: 0.1262 2023/01/06 08:14:29 - mmengine - INFO - Epoch(train) [14][7000/7904] lr: 1.5393e-04 eta: 5:55:12 time: 0.4058 data_time: 0.0021 memory: 11161 loss: 0.1141 loss_ctc: 0.1141 2023/01/06 08:15:13 - mmengine - INFO - Epoch(train) [14][7100/7904] lr: 1.5345e-04 eta: 5:54:28 time: 0.4217 data_time: 0.0020 memory: 11161 loss: 0.1202 loss_ctc: 0.1202 2023/01/06 08:15:58 - mmengine - INFO - Epoch(train) [14][7200/7904] lr: 1.5296e-04 eta: 5:53:44 time: 0.4464 data_time: 0.0020 memory: 11161 loss: 0.1283 loss_ctc: 0.1283 2023/01/06 08:16:20 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 08:16:44 - mmengine - INFO - Epoch(train) [14][7300/7904] lr: 1.5248e-04 eta: 5:53:01 time: 0.4367 data_time: 0.0020 memory: 11161 loss: 0.1406 loss_ctc: 0.1406 2023/01/06 08:17:28 - mmengine - INFO - Epoch(train) [14][7400/7904] lr: 1.5200e-04 eta: 5:52:17 time: 0.4604 data_time: 0.0020 memory: 11161 loss: 0.1267 loss_ctc: 0.1267 2023/01/06 08:18:13 - mmengine - INFO - Epoch(train) [14][7500/7904] lr: 1.5152e-04 eta: 5:51:33 time: 0.4053 data_time: 0.0024 memory: 11161 loss: 0.1176 loss_ctc: 0.1176 2023/01/06 08:19:00 - mmengine - INFO - Epoch(train) [14][7600/7904] lr: 1.5104e-04 eta: 5:50:50 time: 0.4464 data_time: 0.0020 memory: 11161 loss: 0.1216 loss_ctc: 0.1216 2023/01/06 08:19:44 - mmengine - INFO - Epoch(train) [14][7700/7904] lr: 1.5056e-04 eta: 5:50:06 time: 0.4872 data_time: 0.0020 memory: 11161 loss: 0.1365 loss_ctc: 0.1365 2023/01/06 08:20:28 - mmengine - INFO - Epoch(train) [14][7800/7904] lr: 1.5008e-04 eta: 5:49:22 time: 0.4391 data_time: 0.0021 memory: 11161 loss: 0.1221 loss_ctc: 0.1221 2023/01/06 08:21:07 - mmengine - INFO - Epoch(train) [14][7900/7904] lr: 1.4960e-04 eta: 5:48:36 time: 0.3160 data_time: 0.0013 memory: 11161 loss: 0.1196 loss_ctc: 0.1196 2023/01/06 08:21:08 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 08:21:08 - mmengine - INFO - Saving checkpoint at 14 epochs 2023/01/06 08:21:10 - mmengine - INFO - Epoch(val) [14][15/15] CUTE80/recog/word_acc: 0.1632 CUTE80/recog/word_acc_ignore_case: 0.8611 CUTE80/recog/word_acc_ignore_case_symbol: 0.8611 IIIT5K/recog/word_acc: 0.0647 IIIT5K/recog/word_acc_ignore_case: 0.8543 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8543 SVT/recog/word_acc: 0.9026 SVT/recog/word_acc_ignore_case: 0.9026 SVT/recog/word_acc_ignore_case_symbol: 0.9026 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8202 SVTP/recog/word_acc_ignore_case_symbol: 0.8202 IC13/recog/word_acc: 0.2867 IC13/recog/word_acc_ignore_case: 0.9340 IC13/recog/word_acc_ignore_case_symbol: 0.9340 IC15/recog/word_acc: 0.1165 IC15/recog/word_acc_ignore_case: 0.7265 IC15/recog/word_acc_ignore_case_symbol: 0.7342 CUTE80/recog/char_recall: 0.9266 CUTE80/recog/char_precision: 0.9402 IIIT5K/recog/char_recall: 0.9810 IIIT5K/recog/char_precision: 0.9113 SVT/recog/char_recall: 0.9755 SVT/recog/char_precision: 0.9734 SVTP/recog/char_recall: 0.9313 SVTP/recog/char_precision: 0.9532 IC13/recog/char_recall: 0.9859 IC13/recog/char_precision: 0.9738 IC15/recog/char_recall: 0.9220 IC15/recog/char_precision: 0.8943 2023/01/06 08:22:09 - mmengine - INFO - Epoch(train) [15][ 100/7904] lr: 1.4910e-04 eta: 5:47:56 time: 0.4362 data_time: 0.0019 memory: 11161 loss: 0.1266 loss_ctc: 0.1266 2023/01/06 08:22:53 - mmengine - INFO - Epoch(train) [15][ 200/7904] lr: 1.4862e-04 eta: 5:47:11 time: 0.4067 data_time: 0.0022 memory: 11161 loss: 0.1022 loss_ctc: 0.1022 2023/01/06 08:23:37 - mmengine - INFO - Epoch(train) [15][ 300/7904] lr: 1.4815e-04 eta: 5:46:27 time: 0.4509 data_time: 0.0020 memory: 11161 loss: 0.1178 loss_ctc: 0.1178 2023/01/06 08:23:56 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 08:24:21 - mmengine - INFO - Epoch(train) [15][ 400/7904] lr: 1.4767e-04 eta: 5:45:43 time: 0.4341 data_time: 0.0020 memory: 11161 loss: 0.1080 loss_ctc: 0.1080 2023/01/06 08:25:07 - mmengine - INFO - Epoch(train) [15][ 500/7904] lr: 1.4719e-04 eta: 5:45:00 time: 0.4559 data_time: 0.0020 memory: 11161 loss: 0.1280 loss_ctc: 0.1280 2023/01/06 08:25:52 - mmengine - INFO - Epoch(train) [15][ 600/7904] lr: 1.4672e-04 eta: 5:44:16 time: 0.4912 data_time: 0.0022 memory: 11161 loss: 0.1179 loss_ctc: 0.1179 2023/01/06 08:26:36 - mmengine - INFO - Epoch(train) [15][ 700/7904] lr: 1.4624e-04 eta: 5:43:32 time: 0.4569 data_time: 0.0036 memory: 11161 loss: 0.1169 loss_ctc: 0.1169 2023/01/06 08:27:20 - mmengine - INFO - Epoch(train) [15][ 800/7904] lr: 1.4576e-04 eta: 5:42:48 time: 0.4241 data_time: 0.0021 memory: 11161 loss: 0.1275 loss_ctc: 0.1275 2023/01/06 08:28:02 - mmengine - INFO - Epoch(train) [15][ 900/7904] lr: 1.4529e-04 eta: 5:42:03 time: 0.4099 data_time: 0.0020 memory: 11161 loss: 0.1162 loss_ctc: 0.1162 2023/01/06 08:28:45 - mmengine - INFO - Epoch(train) [15][1000/7904] lr: 1.4481e-04 eta: 5:41:18 time: 0.4342 data_time: 0.0021 memory: 11161 loss: 0.1204 loss_ctc: 0.1204 2023/01/06 08:29:29 - mmengine - INFO - Epoch(train) [15][1100/7904] lr: 1.4434e-04 eta: 5:40:34 time: 0.4317 data_time: 0.0020 memory: 11161 loss: 0.1127 loss_ctc: 0.1127 2023/01/06 08:30:13 - mmengine - INFO - Epoch(train) [15][1200/7904] lr: 1.4387e-04 eta: 5:39:50 time: 0.4467 data_time: 0.0020 memory: 11161 loss: 0.1162 loss_ctc: 0.1162 2023/01/06 08:30:57 - mmengine - INFO - Epoch(train) [15][1300/7904] lr: 1.4339e-04 eta: 5:39:06 time: 0.4206 data_time: 0.0020 memory: 11161 loss: 0.1169 loss_ctc: 0.1169 2023/01/06 08:31:17 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 08:31:42 - mmengine - INFO - Epoch(train) [15][1400/7904] lr: 1.4292e-04 eta: 5:38:22 time: 0.4449 data_time: 0.0021 memory: 11161 loss: 0.1200 loss_ctc: 0.1200 2023/01/06 08:32:26 - mmengine - INFO - Epoch(train) [15][1500/7904] lr: 1.4245e-04 eta: 5:37:38 time: 0.4230 data_time: 0.0037 memory: 11161 loss: 0.1179 loss_ctc: 0.1179 2023/01/06 08:33:09 - mmengine - INFO - Epoch(train) [15][1600/7904] lr: 1.4198e-04 eta: 5:36:53 time: 0.3957 data_time: 0.0021 memory: 11161 loss: 0.1153 loss_ctc: 0.1153 2023/01/06 08:33:53 - mmengine - INFO - Epoch(train) [15][1700/7904] lr: 1.4150e-04 eta: 5:36:09 time: 0.4158 data_time: 0.0020 memory: 11161 loss: 0.1308 loss_ctc: 0.1308 2023/01/06 08:34:36 - mmengine - INFO - Epoch(train) [15][1800/7904] lr: 1.4103e-04 eta: 5:35:24 time: 0.3965 data_time: 0.0021 memory: 11161 loss: 0.1074 loss_ctc: 0.1074 2023/01/06 08:35:19 - mmengine - INFO - Epoch(train) [15][1900/7904] lr: 1.4056e-04 eta: 5:34:40 time: 0.4369 data_time: 0.0020 memory: 11161 loss: 0.1042 loss_ctc: 0.1042 2023/01/06 08:36:03 - mmengine - INFO - Epoch(train) [15][2000/7904] lr: 1.4009e-04 eta: 5:33:55 time: 0.4205 data_time: 0.0020 memory: 11161 loss: 0.1219 loss_ctc: 0.1219 2023/01/06 08:36:48 - mmengine - INFO - Epoch(train) [15][2100/7904] lr: 1.3962e-04 eta: 5:33:12 time: 0.4453 data_time: 0.0020 memory: 11161 loss: 0.1232 loss_ctc: 0.1232 2023/01/06 08:37:32 - mmengine - INFO - Epoch(train) [15][2200/7904] lr: 1.3915e-04 eta: 5:32:28 time: 0.4590 data_time: 0.0023 memory: 11161 loss: 0.1251 loss_ctc: 0.1251 2023/01/06 08:38:16 - mmengine - INFO - Epoch(train) [15][2300/7904] lr: 1.3869e-04 eta: 5:31:44 time: 0.4325 data_time: 0.0020 memory: 11161 loss: 0.1173 loss_ctc: 0.1173 2023/01/06 08:38:36 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 08:39:01 - mmengine - INFO - Epoch(train) [15][2400/7904] lr: 1.3822e-04 eta: 5:31:00 time: 0.4286 data_time: 0.0021 memory: 11161 loss: 0.1157 loss_ctc: 0.1157 2023/01/06 08:39:44 - mmengine - INFO - Epoch(train) [15][2500/7904] lr: 1.3775e-04 eta: 5:30:15 time: 0.4172 data_time: 0.0020 memory: 11161 loss: 0.1224 loss_ctc: 0.1224 2023/01/06 08:40:26 - mmengine - INFO - Epoch(train) [15][2600/7904] lr: 1.3728e-04 eta: 5:29:30 time: 0.4388 data_time: 0.0020 memory: 11161 loss: 0.1256 loss_ctc: 0.1256 2023/01/06 08:41:09 - mmengine - INFO - Epoch(train) [15][2700/7904] lr: 1.3682e-04 eta: 5:28:46 time: 0.4074 data_time: 0.0023 memory: 11161 loss: 0.1118 loss_ctc: 0.1118 2023/01/06 08:41:53 - mmengine - INFO - Epoch(train) [15][2800/7904] lr: 1.3635e-04 eta: 5:28:01 time: 0.4451 data_time: 0.0021 memory: 11161 loss: 0.1216 loss_ctc: 0.1216 2023/01/06 08:42:37 - mmengine - INFO - Epoch(train) [15][2900/7904] lr: 1.3588e-04 eta: 5:27:17 time: 0.3992 data_time: 0.0021 memory: 11161 loss: 0.1268 loss_ctc: 0.1268 2023/01/06 08:43:21 - mmengine - INFO - Epoch(train) [15][3000/7904] lr: 1.3542e-04 eta: 5:26:33 time: 0.4231 data_time: 0.0020 memory: 11161 loss: 0.1224 loss_ctc: 0.1224 2023/01/06 08:44:04 - mmengine - INFO - Epoch(train) [15][3100/7904] lr: 1.3496e-04 eta: 5:25:49 time: 0.4206 data_time: 0.0021 memory: 11161 loss: 0.1191 loss_ctc: 0.1191 2023/01/06 08:44:49 - mmengine - INFO - Epoch(train) [15][3200/7904] lr: 1.3449e-04 eta: 5:25:05 time: 0.3889 data_time: 0.0021 memory: 11161 loss: 0.1188 loss_ctc: 0.1188 2023/01/06 08:45:32 - mmengine - INFO - Epoch(train) [15][3300/7904] lr: 1.3403e-04 eta: 5:24:20 time: 0.4243 data_time: 0.0020 memory: 11161 loss: 0.1253 loss_ctc: 0.1253 2023/01/06 08:45:51 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 08:46:16 - mmengine - INFO - Epoch(train) [15][3400/7904] lr: 1.3356e-04 eta: 5:23:36 time: 0.4420 data_time: 0.0023 memory: 11161 loss: 0.1230 loss_ctc: 0.1230 2023/01/06 08:47:00 - mmengine - INFO - Epoch(train) [15][3500/7904] lr: 1.3310e-04 eta: 5:22:52 time: 0.4201 data_time: 0.0020 memory: 11161 loss: 0.1268 loss_ctc: 0.1268 2023/01/06 08:47:46 - mmengine - INFO - Epoch(train) [15][3600/7904] lr: 1.3264e-04 eta: 5:22:08 time: 0.4527 data_time: 0.0021 memory: 11161 loss: 0.1137 loss_ctc: 0.1137 2023/01/06 08:48:28 - mmengine - INFO - Epoch(train) [15][3700/7904] lr: 1.3218e-04 eta: 5:21:24 time: 0.3704 data_time: 0.0020 memory: 11161 loss: 0.1316 loss_ctc: 0.1316 2023/01/06 08:49:10 - mmengine - INFO - Epoch(train) [15][3800/7904] lr: 1.3172e-04 eta: 5:20:39 time: 0.4370 data_time: 0.0020 memory: 11161 loss: 0.1184 loss_ctc: 0.1184 2023/01/06 08:49:53 - mmengine - INFO - Epoch(train) [15][3900/7904] lr: 1.3126e-04 eta: 5:19:54 time: 0.4363 data_time: 0.0020 memory: 11161 loss: 0.1188 loss_ctc: 0.1188 2023/01/06 08:50:37 - mmengine - INFO - Epoch(train) [15][4000/7904] lr: 1.3080e-04 eta: 5:19:10 time: 0.4504 data_time: 0.0020 memory: 11161 loss: 0.1263 loss_ctc: 0.1263 2023/01/06 08:51:24 - mmengine - INFO - Epoch(train) [15][4100/7904] lr: 1.3034e-04 eta: 5:18:27 time: 0.4649 data_time: 0.0021 memory: 11161 loss: 0.1105 loss_ctc: 0.1105 2023/01/06 08:52:07 - mmengine - INFO - Epoch(train) [15][4200/7904] lr: 1.2988e-04 eta: 5:17:42 time: 0.4359 data_time: 0.0020 memory: 11161 loss: 0.1240 loss_ctc: 0.1240 2023/01/06 08:52:51 - mmengine - INFO - Epoch(train) [15][4300/7904] lr: 1.2942e-04 eta: 5:16:58 time: 0.4704 data_time: 0.0020 memory: 11161 loss: 0.1232 loss_ctc: 0.1232 2023/01/06 08:53:11 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 08:53:35 - mmengine - INFO - Epoch(train) [15][4400/7904] lr: 1.2896e-04 eta: 5:16:14 time: 0.4116 data_time: 0.0020 memory: 11161 loss: 0.1170 loss_ctc: 0.1170 2023/01/06 08:54:21 - mmengine - INFO - Epoch(train) [15][4500/7904] lr: 1.2851e-04 eta: 5:15:31 time: 0.5042 data_time: 0.0020 memory: 11161 loss: 0.1284 loss_ctc: 0.1284 2023/01/06 08:55:06 - mmengine - INFO - Epoch(train) [15][4600/7904] lr: 1.2805e-04 eta: 5:14:47 time: 0.4531 data_time: 0.0020 memory: 11161 loss: 0.1277 loss_ctc: 0.1277 2023/01/06 08:55:51 - mmengine - INFO - Epoch(train) [15][4700/7904] lr: 1.2759e-04 eta: 5:14:03 time: 0.4658 data_time: 0.0021 memory: 11161 loss: 0.1229 loss_ctc: 0.1229 2023/01/06 08:56:34 - mmengine - INFO - Epoch(train) [15][4800/7904] lr: 1.2714e-04 eta: 5:13:19 time: 0.4153 data_time: 0.0023 memory: 11161 loss: 0.1028 loss_ctc: 0.1028 2023/01/06 08:57:18 - mmengine - INFO - Epoch(train) [15][4900/7904] lr: 1.2668e-04 eta: 5:12:34 time: 0.4434 data_time: 0.0020 memory: 11161 loss: 0.1200 loss_ctc: 0.1200 2023/01/06 08:58:01 - mmengine - INFO - Epoch(train) [15][5000/7904] lr: 1.2623e-04 eta: 5:11:50 time: 0.4311 data_time: 0.0020 memory: 11161 loss: 0.1134 loss_ctc: 0.1134 2023/01/06 08:58:45 - mmengine - INFO - Epoch(train) [15][5100/7904] lr: 1.2577e-04 eta: 5:11:06 time: 0.4663 data_time: 0.0021 memory: 11161 loss: 0.1130 loss_ctc: 0.1130 2023/01/06 08:59:30 - mmengine - INFO - Epoch(train) [15][5200/7904] lr: 1.2532e-04 eta: 5:10:22 time: 0.4405 data_time: 0.0020 memory: 11161 loss: 0.1179 loss_ctc: 0.1179 2023/01/06 09:00:16 - mmengine - INFO - Epoch(train) [15][5300/7904] lr: 1.2487e-04 eta: 5:09:38 time: 0.4625 data_time: 0.0020 memory: 11161 loss: 0.1387 loss_ctc: 0.1387 2023/01/06 09:00:35 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 09:01:00 - mmengine - INFO - Epoch(train) [15][5400/7904] lr: 1.2441e-04 eta: 5:08:54 time: 0.4454 data_time: 0.0021 memory: 11161 loss: 0.1158 loss_ctc: 0.1158 2023/01/06 09:01:42 - mmengine - INFO - Epoch(train) [15][5500/7904] lr: 1.2396e-04 eta: 5:08:09 time: 0.4295 data_time: 0.0019 memory: 11161 loss: 0.1181 loss_ctc: 0.1181 2023/01/06 09:02:24 - mmengine - INFO - Epoch(train) [15][5600/7904] lr: 1.2351e-04 eta: 5:07:25 time: 0.3839 data_time: 0.0020 memory: 11161 loss: 0.1237 loss_ctc: 0.1237 2023/01/06 09:03:06 - mmengine - INFO - Epoch(train) [15][5700/7904] lr: 1.2306e-04 eta: 5:06:40 time: 0.3908 data_time: 0.0021 memory: 11161 loss: 0.1182 loss_ctc: 0.1182 2023/01/06 09:03:50 - mmengine - INFO - Epoch(train) [15][5800/7904] lr: 1.2261e-04 eta: 5:05:55 time: 0.4778 data_time: 0.0021 memory: 11161 loss: 0.1158 loss_ctc: 0.1158 2023/01/06 09:04:35 - mmengine - INFO - Epoch(train) [15][5900/7904] lr: 1.2216e-04 eta: 5:05:12 time: 0.4358 data_time: 0.0020 memory: 11161 loss: 0.1171 loss_ctc: 0.1171 2023/01/06 09:05:18 - mmengine - INFO - Epoch(train) [15][6000/7904] lr: 1.2171e-04 eta: 5:04:27 time: 0.4479 data_time: 0.0021 memory: 11161 loss: 0.1166 loss_ctc: 0.1166 2023/01/06 09:06:01 - mmengine - INFO - Epoch(train) [15][6100/7904] lr: 1.2126e-04 eta: 5:03:43 time: 0.4564 data_time: 0.0021 memory: 11161 loss: 0.1126 loss_ctc: 0.1126 2023/01/06 09:06:46 - mmengine - INFO - Epoch(train) [15][6200/7904] lr: 1.2081e-04 eta: 5:02:59 time: 0.4645 data_time: 0.0020 memory: 11161 loss: 0.1231 loss_ctc: 0.1231 2023/01/06 09:07:31 - mmengine - INFO - Epoch(train) [15][6300/7904] lr: 1.2037e-04 eta: 5:02:15 time: 0.4541 data_time: 0.0021 memory: 11161 loss: 0.1117 loss_ctc: 0.1117 2023/01/06 09:07:50 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 09:08:15 - mmengine - INFO - Epoch(train) [15][6400/7904] lr: 1.1992e-04 eta: 5:01:31 time: 0.4810 data_time: 0.0020 memory: 11161 loss: 0.1302 loss_ctc: 0.1302 2023/01/06 09:09:00 - mmengine - INFO - Epoch(train) [15][6500/7904] lr: 1.1947e-04 eta: 5:00:47 time: 0.4400 data_time: 0.0021 memory: 11161 loss: 0.1114 loss_ctc: 0.1114 2023/01/06 09:09:43 - mmengine - INFO - Epoch(train) [15][6600/7904] lr: 1.1903e-04 eta: 5:00:03 time: 0.4641 data_time: 0.0021 memory: 11161 loss: 0.1261 loss_ctc: 0.1261 2023/01/06 09:10:27 - mmengine - INFO - Epoch(train) [15][6700/7904] lr: 1.1858e-04 eta: 4:59:18 time: 0.4208 data_time: 0.0020 memory: 11161 loss: 0.1261 loss_ctc: 0.1261 2023/01/06 09:11:10 - mmengine - INFO - Epoch(train) [15][6800/7904] lr: 1.1814e-04 eta: 4:58:34 time: 0.3883 data_time: 0.0020 memory: 11161 loss: 0.1167 loss_ctc: 0.1167 2023/01/06 09:11:54 - mmengine - INFO - Epoch(train) [15][6900/7904] lr: 1.1769e-04 eta: 4:57:50 time: 0.4251 data_time: 0.0020 memory: 11161 loss: 0.1158 loss_ctc: 0.1158 2023/01/06 09:12:36 - mmengine - INFO - Epoch(train) [15][7000/7904] lr: 1.1725e-04 eta: 4:57:05 time: 0.3971 data_time: 0.0020 memory: 11161 loss: 0.1074 loss_ctc: 0.1074 2023/01/06 09:13:21 - mmengine - INFO - Epoch(train) [15][7100/7904] lr: 1.1681e-04 eta: 4:56:21 time: 0.4360 data_time: 0.0020 memory: 11161 loss: 0.1040 loss_ctc: 0.1040 2023/01/06 09:14:05 - mmengine - INFO - Epoch(train) [15][7200/7904] lr: 1.1636e-04 eta: 4:55:37 time: 0.4772 data_time: 0.0020 memory: 11161 loss: 0.1298 loss_ctc: 0.1298 2023/01/06 09:14:49 - mmengine - INFO - Epoch(train) [15][7300/7904] lr: 1.1592e-04 eta: 4:54:53 time: 0.4439 data_time: 0.0021 memory: 11161 loss: 0.1124 loss_ctc: 0.1124 2023/01/06 09:15:08 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 09:15:33 - mmengine - INFO - Epoch(train) [15][7400/7904] lr: 1.1548e-04 eta: 4:54:09 time: 0.4917 data_time: 0.0021 memory: 11161 loss: 0.1237 loss_ctc: 0.1237 2023/01/06 09:16:17 - mmengine - INFO - Epoch(train) [15][7500/7904] lr: 1.1504e-04 eta: 4:53:25 time: 0.4286 data_time: 0.0021 memory: 11161 loss: 0.1316 loss_ctc: 0.1316 2023/01/06 09:17:01 - mmengine - INFO - Epoch(train) [15][7600/7904] lr: 1.1460e-04 eta: 4:52:41 time: 0.4481 data_time: 0.0020 memory: 11161 loss: 0.1158 loss_ctc: 0.1158 2023/01/06 09:17:46 - mmengine - INFO - Epoch(train) [15][7700/7904] lr: 1.1416e-04 eta: 4:51:57 time: 0.4379 data_time: 0.0021 memory: 11161 loss: 0.1222 loss_ctc: 0.1222 2023/01/06 09:18:31 - mmengine - INFO - Epoch(train) [15][7800/7904] lr: 1.1372e-04 eta: 4:51:13 time: 0.4538 data_time: 0.0020 memory: 11161 loss: 0.1143 loss_ctc: 0.1143 2023/01/06 09:19:10 - mmengine - INFO - Epoch(train) [15][7900/7904] lr: 1.1328e-04 eta: 4:50:27 time: 0.3185 data_time: 0.0015 memory: 11161 loss: 0.1207 loss_ctc: 0.1207 2023/01/06 09:19:11 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 09:19:11 - mmengine - INFO - Saving checkpoint at 15 epochs 2023/01/06 09:19:13 - mmengine - INFO - Epoch(val) [15][15/15] CUTE80/recog/word_acc: 0.1597 CUTE80/recog/word_acc_ignore_case: 0.8646 CUTE80/recog/word_acc_ignore_case_symbol: 0.8646 IIIT5K/recog/word_acc: 0.0653 IIIT5K/recog/word_acc_ignore_case: 0.8477 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8477 SVT/recog/word_acc: 0.8980 SVT/recog/word_acc_ignore_case: 0.8980 SVT/recog/word_acc_ignore_case_symbol: 0.8980 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8233 SVTP/recog/word_acc_ignore_case_symbol: 0.8233 IC13/recog/word_acc: 0.2828 IC13/recog/word_acc_ignore_case: 0.9350 IC13/recog/word_acc_ignore_case_symbol: 0.9350 IC15/recog/word_acc: 0.1160 IC15/recog/word_acc_ignore_case: 0.7352 IC15/recog/word_acc_ignore_case_symbol: 0.7429 CUTE80/recog/char_recall: 0.9373 CUTE80/recog/char_precision: 0.9384 IIIT5K/recog/char_recall: 0.9822 IIIT5K/recog/char_precision: 0.9070 SVT/recog/char_recall: 0.9781 SVT/recog/char_precision: 0.9624 SVTP/recog/char_recall: 0.9393 SVTP/recog/char_precision: 0.9493 IC13/recog/char_recall: 0.9885 IC13/recog/char_precision: 0.9737 IC15/recog/char_recall: 0.9318 IC15/recog/char_precision: 0.8854 2023/01/06 09:20:10 - mmengine - INFO - Epoch(train) [16][ 100/7904] lr: 1.1283e-04 eta: 4:49:45 time: 0.3936 data_time: 0.0020 memory: 11161 loss: 0.1175 loss_ctc: 0.1175 2023/01/06 09:20:54 - mmengine - INFO - Epoch(train) [16][ 200/7904] lr: 1.1239e-04 eta: 4:49:01 time: 0.4491 data_time: 0.0019 memory: 11161 loss: 0.1171 loss_ctc: 0.1171 2023/01/06 09:21:39 - mmengine - INFO - Epoch(train) [16][ 300/7904] lr: 1.1196e-04 eta: 4:48:17 time: 0.5005 data_time: 0.0020 memory: 11161 loss: 0.1246 loss_ctc: 0.1246 2023/01/06 09:22:25 - mmengine - INFO - Epoch(train) [16][ 400/7904] lr: 1.1152e-04 eta: 4:47:34 time: 0.4568 data_time: 0.0020 memory: 11161 loss: 0.1207 loss_ctc: 0.1207 2023/01/06 09:22:43 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 09:23:09 - mmengine - INFO - Epoch(train) [16][ 500/7904] lr: 1.1109e-04 eta: 4:46:50 time: 0.4261 data_time: 0.0022 memory: 11161 loss: 0.1075 loss_ctc: 0.1075 2023/01/06 09:23:54 - mmengine - INFO - Epoch(train) [16][ 600/7904] lr: 1.1065e-04 eta: 4:46:06 time: 0.4180 data_time: 0.0021 memory: 11161 loss: 0.1103 loss_ctc: 0.1103 2023/01/06 09:24:39 - mmengine - INFO - Epoch(train) [16][ 700/7904] lr: 1.1022e-04 eta: 4:45:22 time: 0.4660 data_time: 0.0021 memory: 11161 loss: 0.1171 loss_ctc: 0.1171 2023/01/06 09:25:25 - mmengine - INFO - Epoch(train) [16][ 800/7904] lr: 1.0978e-04 eta: 4:44:38 time: 0.4670 data_time: 0.0020 memory: 11161 loss: 0.1235 loss_ctc: 0.1235 2023/01/06 09:26:09 - mmengine - INFO - Epoch(train) [16][ 900/7904] lr: 1.0935e-04 eta: 4:43:54 time: 0.4094 data_time: 0.0022 memory: 11161 loss: 0.1052 loss_ctc: 0.1052 2023/01/06 09:26:51 - mmengine - INFO - Epoch(train) [16][1000/7904] lr: 1.0892e-04 eta: 4:43:09 time: 0.3762 data_time: 0.0020 memory: 11161 loss: 0.1264 loss_ctc: 0.1264 2023/01/06 09:27:33 - mmengine - INFO - Epoch(train) [16][1100/7904] lr: 1.0849e-04 eta: 4:42:25 time: 0.4170 data_time: 0.0021 memory: 11161 loss: 0.1036 loss_ctc: 0.1036 2023/01/06 09:28:15 - mmengine - INFO - Epoch(train) [16][1200/7904] lr: 1.0806e-04 eta: 4:41:40 time: 0.4310 data_time: 0.0020 memory: 11161 loss: 0.1055 loss_ctc: 0.1055 2023/01/06 09:28:57 - mmengine - INFO - Epoch(train) [16][1300/7904] lr: 1.0763e-04 eta: 4:40:55 time: 0.4401 data_time: 0.0020 memory: 11161 loss: 0.1090 loss_ctc: 0.1090 2023/01/06 09:29:42 - mmengine - INFO - Epoch(train) [16][1400/7904] lr: 1.0720e-04 eta: 4:40:11 time: 0.4538 data_time: 0.0020 memory: 11161 loss: 0.1197 loss_ctc: 0.1197 2023/01/06 09:29:59 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 09:30:26 - mmengine - INFO - Epoch(train) [16][1500/7904] lr: 1.0677e-04 eta: 4:39:27 time: 0.4224 data_time: 0.0021 memory: 11161 loss: 0.1093 loss_ctc: 0.1093 2023/01/06 09:31:10 - mmengine - INFO - Epoch(train) [16][1600/7904] lr: 1.0634e-04 eta: 4:38:43 time: 0.4093 data_time: 0.0020 memory: 11161 loss: 0.1070 loss_ctc: 0.1070 2023/01/06 09:31:54 - mmengine - INFO - Epoch(train) [16][1700/7904] lr: 1.0591e-04 eta: 4:37:59 time: 0.4177 data_time: 0.0020 memory: 11161 loss: 0.1142 loss_ctc: 0.1142 2023/01/06 09:32:37 - mmengine - INFO - Epoch(train) [16][1800/7904] lr: 1.0549e-04 eta: 4:37:14 time: 0.4083 data_time: 0.0020 memory: 11161 loss: 0.1455 loss_ctc: 0.1455 2023/01/06 09:33:20 - mmengine - INFO - Epoch(train) [16][1900/7904] lr: 1.0506e-04 eta: 4:36:30 time: 0.4059 data_time: 0.0021 memory: 11161 loss: 0.1045 loss_ctc: 0.1045 2023/01/06 09:34:05 - mmengine - INFO - Epoch(train) [16][2000/7904] lr: 1.0463e-04 eta: 4:35:46 time: 0.4401 data_time: 0.0021 memory: 11161 loss: 0.1267 loss_ctc: 0.1267 2023/01/06 09:34:49 - mmengine - INFO - Epoch(train) [16][2100/7904] lr: 1.0421e-04 eta: 4:35:02 time: 0.4397 data_time: 0.0022 memory: 11161 loss: 0.1161 loss_ctc: 0.1161 2023/01/06 09:35:33 - mmengine - INFO - Epoch(train) [16][2200/7904] lr: 1.0378e-04 eta: 4:34:18 time: 0.4494 data_time: 0.0021 memory: 11161 loss: 0.1171 loss_ctc: 0.1171 2023/01/06 09:36:18 - mmengine - INFO - Epoch(train) [16][2300/7904] lr: 1.0336e-04 eta: 4:33:34 time: 0.4656 data_time: 0.0021 memory: 11161 loss: 0.1321 loss_ctc: 0.1321 2023/01/06 09:37:01 - mmengine - INFO - Epoch(train) [16][2400/7904] lr: 1.0294e-04 eta: 4:32:49 time: 0.4158 data_time: 0.0020 memory: 11161 loss: 0.1273 loss_ctc: 0.1273 2023/01/06 09:37:17 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 09:37:44 - mmengine - INFO - Epoch(train) [16][2500/7904] lr: 1.0251e-04 eta: 4:32:05 time: 0.4431 data_time: 0.0021 memory: 11161 loss: 0.1096 loss_ctc: 0.1096 2023/01/06 09:38:27 - mmengine - INFO - Epoch(train) [16][2600/7904] lr: 1.0209e-04 eta: 4:31:21 time: 0.4321 data_time: 0.0021 memory: 11161 loss: 0.1072 loss_ctc: 0.1072 2023/01/06 09:39:12 - mmengine - INFO - Epoch(train) [16][2700/7904] lr: 1.0167e-04 eta: 4:30:37 time: 0.4588 data_time: 0.0021 memory: 11161 loss: 0.1063 loss_ctc: 0.1063 2023/01/06 09:39:55 - mmengine - INFO - Epoch(train) [16][2800/7904] lr: 1.0125e-04 eta: 4:29:52 time: 0.4321 data_time: 0.0021 memory: 11161 loss: 0.1118 loss_ctc: 0.1118 2023/01/06 09:40:41 - mmengine - INFO - Epoch(train) [16][2900/7904] lr: 1.0083e-04 eta: 4:29:09 time: 0.4492 data_time: 0.0021 memory: 11161 loss: 0.1204 loss_ctc: 0.1204 2023/01/06 09:41:27 - mmengine - INFO - Epoch(train) [16][3000/7904] lr: 1.0041e-04 eta: 4:28:25 time: 0.4714 data_time: 0.0022 memory: 11161 loss: 0.1109 loss_ctc: 0.1109 2023/01/06 09:42:09 - mmengine - INFO - Epoch(train) [16][3100/7904] lr: 9.9991e-05 eta: 4:27:40 time: 0.4259 data_time: 0.0022 memory: 11161 loss: 0.1179 loss_ctc: 0.1179 2023/01/06 09:42:52 - mmengine - INFO - Epoch(train) [16][3200/7904] lr: 9.9573e-05 eta: 4:26:56 time: 0.5017 data_time: 0.0021 memory: 11161 loss: 0.1130 loss_ctc: 0.1130 2023/01/06 09:43:35 - mmengine - INFO - Epoch(train) [16][3300/7904] lr: 9.9156e-05 eta: 4:26:12 time: 0.4213 data_time: 0.0021 memory: 11161 loss: 0.1119 loss_ctc: 0.1119 2023/01/06 09:44:18 - mmengine - INFO - Epoch(train) [16][3400/7904] lr: 9.8739e-05 eta: 4:25:27 time: 0.3936 data_time: 0.0020 memory: 11161 loss: 0.1224 loss_ctc: 0.1224 2023/01/06 09:44:36 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 09:45:02 - mmengine - INFO - Epoch(train) [16][3500/7904] lr: 9.8323e-05 eta: 4:24:43 time: 0.4160 data_time: 0.0025 memory: 11161 loss: 0.1099 loss_ctc: 0.1099 2023/01/06 09:45:45 - mmengine - INFO - Epoch(train) [16][3600/7904] lr: 9.7908e-05 eta: 4:23:59 time: 0.4398 data_time: 0.0020 memory: 11161 loss: 0.1014 loss_ctc: 0.1014 2023/01/06 09:46:30 - mmengine - INFO - Epoch(train) [16][3700/7904] lr: 9.7493e-05 eta: 4:23:15 time: 0.4302 data_time: 0.0021 memory: 11161 loss: 0.0987 loss_ctc: 0.0987 2023/01/06 09:47:16 - mmengine - INFO - Epoch(train) [16][3800/7904] lr: 9.7079e-05 eta: 4:22:31 time: 0.4387 data_time: 0.0021 memory: 11161 loss: 0.1015 loss_ctc: 0.1015 2023/01/06 09:48:00 - mmengine - INFO - Epoch(train) [16][3900/7904] lr: 9.6666e-05 eta: 4:21:47 time: 0.4742 data_time: 0.0021 memory: 11161 loss: 0.1100 loss_ctc: 0.1100 2023/01/06 09:48:45 - mmengine - INFO - Epoch(train) [16][4000/7904] lr: 9.6253e-05 eta: 4:21:03 time: 0.4471 data_time: 0.0021 memory: 11161 loss: 0.1191 loss_ctc: 0.1191 2023/01/06 09:49:30 - mmengine - INFO - Epoch(train) [16][4100/7904] lr: 9.5841e-05 eta: 4:20:19 time: 0.4444 data_time: 0.0020 memory: 11161 loss: 0.1132 loss_ctc: 0.1132 2023/01/06 09:50:12 - mmengine - INFO - Epoch(train) [16][4200/7904] lr: 9.5429e-05 eta: 4:19:35 time: 0.3884 data_time: 0.0021 memory: 11161 loss: 0.1111 loss_ctc: 0.1111 2023/01/06 09:50:56 - mmengine - INFO - Epoch(train) [16][4300/7904] lr: 9.5019e-05 eta: 4:18:50 time: 0.4642 data_time: 0.0020 memory: 11161 loss: 0.1112 loss_ctc: 0.1112 2023/01/06 09:51:41 - mmengine - INFO - Epoch(train) [16][4400/7904] lr: 9.4609e-05 eta: 4:18:07 time: 0.4194 data_time: 0.0024 memory: 11161 loss: 0.1035 loss_ctc: 0.1035 2023/01/06 09:51:58 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 09:52:25 - mmengine - INFO - Epoch(train) [16][4500/7904] lr: 9.4199e-05 eta: 4:17:23 time: 0.4301 data_time: 0.0020 memory: 11161 loss: 0.1215 loss_ctc: 0.1215 2023/01/06 09:53:08 - mmengine - INFO - Epoch(train) [16][4600/7904] lr: 9.3791e-05 eta: 4:16:38 time: 0.4088 data_time: 0.0020 memory: 11161 loss: 0.1131 loss_ctc: 0.1131 2023/01/06 09:53:51 - mmengine - INFO - Epoch(train) [16][4700/7904] lr: 9.3383e-05 eta: 4:15:54 time: 0.4501 data_time: 0.0020 memory: 11161 loss: 0.1215 loss_ctc: 0.1215 2023/01/06 09:54:34 - mmengine - INFO - Epoch(train) [16][4800/7904] lr: 9.2975e-05 eta: 4:15:09 time: 0.4582 data_time: 0.0021 memory: 11161 loss: 0.1139 loss_ctc: 0.1139 2023/01/06 09:55:18 - mmengine - INFO - Epoch(train) [16][4900/7904] lr: 9.2569e-05 eta: 4:14:25 time: 0.4487 data_time: 0.0020 memory: 11161 loss: 0.1159 loss_ctc: 0.1159 2023/01/06 09:56:02 - mmengine - INFO - Epoch(train) [16][5000/7904] lr: 9.2163e-05 eta: 4:13:41 time: 0.4577 data_time: 0.0021 memory: 11161 loss: 0.0984 loss_ctc: 0.0984 2023/01/06 09:56:45 - mmengine - INFO - Epoch(train) [16][5100/7904] lr: 9.1758e-05 eta: 4:12:57 time: 0.4208 data_time: 0.0020 memory: 11161 loss: 0.1045 loss_ctc: 0.1045 2023/01/06 09:57:27 - mmengine - INFO - Epoch(train) [16][5200/7904] lr: 9.1353e-05 eta: 4:12:12 time: 0.4315 data_time: 0.0020 memory: 11161 loss: 0.1125 loss_ctc: 0.1125 2023/01/06 09:58:11 - mmengine - INFO - Epoch(train) [16][5300/7904] lr: 9.0949e-05 eta: 4:11:28 time: 0.4208 data_time: 0.0020 memory: 11161 loss: 0.1218 loss_ctc: 0.1218 2023/01/06 09:58:56 - mmengine - INFO - Epoch(train) [16][5400/7904] lr: 9.0546e-05 eta: 4:10:44 time: 0.4009 data_time: 0.0020 memory: 11161 loss: 0.1095 loss_ctc: 0.1095 2023/01/06 09:59:13 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 09:59:39 - mmengine - INFO - Epoch(train) [16][5500/7904] lr: 9.0144e-05 eta: 4:10:00 time: 0.4098 data_time: 0.0020 memory: 11161 loss: 0.1116 loss_ctc: 0.1116 2023/01/06 10:00:22 - mmengine - INFO - Epoch(train) [16][5600/7904] lr: 8.9742e-05 eta: 4:09:15 time: 0.4239 data_time: 0.0020 memory: 11161 loss: 0.1290 loss_ctc: 0.1290 2023/01/06 10:01:05 - mmengine - INFO - Epoch(train) [16][5700/7904] lr: 8.9341e-05 eta: 4:08:31 time: 0.4454 data_time: 0.0020 memory: 11161 loss: 0.1115 loss_ctc: 0.1115 2023/01/06 10:01:47 - mmengine - INFO - Epoch(train) [16][5800/7904] lr: 8.8941e-05 eta: 4:07:46 time: 0.4221 data_time: 0.0021 memory: 11161 loss: 0.1197 loss_ctc: 0.1197 2023/01/06 10:02:31 - mmengine - INFO - Epoch(train) [16][5900/7904] lr: 8.8541e-05 eta: 4:07:02 time: 0.4427 data_time: 0.0020 memory: 11161 loss: 0.1141 loss_ctc: 0.1141 2023/01/06 10:03:16 - mmengine - INFO - Epoch(train) [16][6000/7904] lr: 8.8142e-05 eta: 4:06:18 time: 0.4370 data_time: 0.0023 memory: 11161 loss: 0.1206 loss_ctc: 0.1206 2023/01/06 10:04:01 - mmengine - INFO - Epoch(train) [16][6100/7904] lr: 8.7744e-05 eta: 4:05:34 time: 0.4104 data_time: 0.0021 memory: 11161 loss: 0.1323 loss_ctc: 0.1323 2023/01/06 10:04:44 - mmengine - INFO - Epoch(train) [16][6200/7904] lr: 8.7346e-05 eta: 4:04:50 time: 0.4637 data_time: 0.0020 memory: 11161 loss: 0.1036 loss_ctc: 0.1036 2023/01/06 10:05:31 - mmengine - INFO - Epoch(train) [16][6300/7904] lr: 8.6949e-05 eta: 4:04:06 time: 0.4338 data_time: 0.0021 memory: 11161 loss: 0.1180 loss_ctc: 0.1180 2023/01/06 10:06:15 - mmengine - INFO - Epoch(train) [16][6400/7904] lr: 8.6553e-05 eta: 4:03:22 time: 0.4453 data_time: 0.0021 memory: 11161 loss: 0.1061 loss_ctc: 0.1061 2023/01/06 10:06:33 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 10:07:01 - mmengine - INFO - Epoch(train) [16][6500/7904] lr: 8.6158e-05 eta: 4:02:39 time: 0.4664 data_time: 0.0020 memory: 11161 loss: 0.1145 loss_ctc: 0.1145 2023/01/06 10:07:45 - mmengine - INFO - Epoch(train) [16][6600/7904] lr: 8.5763e-05 eta: 4:01:55 time: 0.4369 data_time: 0.0021 memory: 11161 loss: 0.1128 loss_ctc: 0.1128 2023/01/06 10:08:28 - mmengine - INFO - Epoch(train) [16][6700/7904] lr: 8.5369e-05 eta: 4:01:10 time: 0.4731 data_time: 0.0021 memory: 11161 loss: 0.1288 loss_ctc: 0.1288 2023/01/06 10:09:12 - mmengine - INFO - Epoch(train) [16][6800/7904] lr: 8.4976e-05 eta: 4:00:26 time: 0.4446 data_time: 0.0021 memory: 11161 loss: 0.1086 loss_ctc: 0.1086 2023/01/06 10:09:56 - mmengine - INFO - Epoch(train) [16][6900/7904] lr: 8.4584e-05 eta: 3:59:42 time: 0.4566 data_time: 0.0020 memory: 11161 loss: 0.1138 loss_ctc: 0.1138 2023/01/06 10:10:41 - mmengine - INFO - Epoch(train) [16][7000/7904] lr: 8.4192e-05 eta: 3:58:58 time: 0.5033 data_time: 0.0020 memory: 11161 loss: 0.1069 loss_ctc: 0.1069 2023/01/06 10:11:25 - mmengine - INFO - Epoch(train) [16][7100/7904] lr: 8.3801e-05 eta: 3:58:14 time: 0.4699 data_time: 0.0020 memory: 11161 loss: 0.1107 loss_ctc: 0.1107 2023/01/06 10:12:09 - mmengine - INFO - Epoch(train) [16][7200/7904] lr: 8.3411e-05 eta: 3:57:30 time: 0.4625 data_time: 0.0021 memory: 11161 loss: 0.1243 loss_ctc: 0.1243 2023/01/06 10:12:55 - mmengine - INFO - Epoch(train) [16][7300/7904] lr: 8.3021e-05 eta: 3:56:46 time: 0.4793 data_time: 0.0020 memory: 11161 loss: 0.1117 loss_ctc: 0.1117 2023/01/06 10:13:36 - mmengine - INFO - Epoch(train) [16][7400/7904] lr: 8.2632e-05 eta: 3:56:01 time: 0.4383 data_time: 0.0020 memory: 11161 loss: 0.1134 loss_ctc: 0.1134 2023/01/06 10:13:54 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 10:14:20 - mmengine - INFO - Epoch(train) [16][7500/7904] lr: 8.2244e-05 eta: 3:55:17 time: 0.3885 data_time: 0.0020 memory: 11161 loss: 0.1062 loss_ctc: 0.1062 2023/01/06 10:15:02 - mmengine - INFO - Epoch(train) [16][7600/7904] lr: 8.1857e-05 eta: 3:54:33 time: 0.4274 data_time: 0.0021 memory: 11161 loss: 0.0991 loss_ctc: 0.0991 2023/01/06 10:15:45 - mmengine - INFO - Epoch(train) [16][7700/7904] lr: 8.1470e-05 eta: 3:53:48 time: 0.4308 data_time: 0.0021 memory: 11161 loss: 0.1176 loss_ctc: 0.1176 2023/01/06 10:16:30 - mmengine - INFO - Epoch(train) [16][7800/7904] lr: 8.1084e-05 eta: 3:53:04 time: 0.4388 data_time: 0.0021 memory: 11161 loss: 0.1225 loss_ctc: 0.1225 2023/01/06 10:17:10 - mmengine - INFO - Epoch(train) [16][7900/7904] lr: 8.0699e-05 eta: 3:52:19 time: 0.3241 data_time: 0.0014 memory: 11161 loss: 0.1168 loss_ctc: 0.1168 2023/01/06 10:17:11 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 10:17:11 - mmengine - INFO - Saving checkpoint at 16 epochs 2023/01/06 10:17:13 - mmengine - INFO - Epoch(val) [16][15/15] CUTE80/recog/word_acc: 0.1667 CUTE80/recog/word_acc_ignore_case: 0.9097 CUTE80/recog/word_acc_ignore_case_symbol: 0.9097 IIIT5K/recog/word_acc: 0.0647 IIIT5K/recog/word_acc_ignore_case: 0.8490 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8490 SVT/recog/word_acc: 0.8903 SVT/recog/word_acc_ignore_case: 0.8903 SVT/recog/word_acc_ignore_case_symbol: 0.8903 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8341 SVTP/recog/word_acc_ignore_case_symbol: 0.8341 IC13/recog/word_acc: 0.2867 IC13/recog/word_acc_ignore_case: 0.9409 IC13/recog/word_acc_ignore_case_symbol: 0.9409 IC15/recog/word_acc: 0.1136 IC15/recog/word_acc_ignore_case: 0.7256 IC15/recog/word_acc_ignore_case_symbol: 0.7318 CUTE80/recog/char_recall: 0.9492 CUTE80/recog/char_precision: 0.9450 IIIT5K/recog/char_recall: 0.9829 IIIT5K/recog/char_precision: 0.9074 SVT/recog/char_recall: 0.9771 SVT/recog/char_precision: 0.9611 SVTP/recog/char_recall: 0.9406 SVTP/recog/char_precision: 0.9514 IC13/recog/char_recall: 0.9892 IC13/recog/char_precision: 0.9741 IC15/recog/char_recall: 0.9318 IC15/recog/char_precision: 0.8821 2023/01/06 10:18:13 - mmengine - INFO - Epoch(train) [17][ 100/7904] lr: 8.0299e-05 eta: 3:51:37 time: 0.4354 data_time: 0.0019 memory: 11161 loss: 0.1178 loss_ctc: 0.1178 2023/01/06 10:18:58 - mmengine - INFO - Epoch(train) [17][ 200/7904] lr: 7.9915e-05 eta: 3:50:53 time: 0.4012 data_time: 0.0021 memory: 11161 loss: 0.1042 loss_ctc: 0.1042 2023/01/06 10:19:39 - mmengine - INFO - Epoch(train) [17][ 300/7904] lr: 7.9532e-05 eta: 3:50:08 time: 0.4004 data_time: 0.0021 memory: 11161 loss: 0.1225 loss_ctc: 0.1225 2023/01/06 10:20:21 - mmengine - INFO - Epoch(train) [17][ 400/7904] lr: 7.9150e-05 eta: 3:49:24 time: 0.4031 data_time: 0.0021 memory: 11161 loss: 0.1172 loss_ctc: 0.1172 2023/01/06 10:21:05 - mmengine - INFO - Epoch(train) [17][ 500/7904] lr: 7.8769e-05 eta: 3:48:40 time: 0.4454 data_time: 0.0020 memory: 11161 loss: 0.1106 loss_ctc: 0.1106 2023/01/06 10:21:21 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 10:21:49 - mmengine - INFO - Epoch(train) [17][ 600/7904] lr: 7.8388e-05 eta: 3:47:56 time: 0.4320 data_time: 0.0021 memory: 11161 loss: 0.1106 loss_ctc: 0.1106 2023/01/06 10:22:33 - mmengine - INFO - Epoch(train) [17][ 700/7904] lr: 7.8008e-05 eta: 3:47:11 time: 0.4470 data_time: 0.0021 memory: 11161 loss: 0.1035 loss_ctc: 0.1035 2023/01/06 10:23:16 - mmengine - INFO - Epoch(train) [17][ 800/7904] lr: 7.7629e-05 eta: 3:46:27 time: 0.4604 data_time: 0.0021 memory: 11161 loss: 0.1206 loss_ctc: 0.1206 2023/01/06 10:24:00 - mmengine - INFO - Epoch(train) [17][ 900/7904] lr: 7.7251e-05 eta: 3:45:43 time: 0.4964 data_time: 0.0024 memory: 11161 loss: 0.1038 loss_ctc: 0.1038 2023/01/06 10:24:47 - mmengine - INFO - Epoch(train) [17][1000/7904] lr: 7.6873e-05 eta: 3:45:00 time: 0.4255 data_time: 0.0022 memory: 11161 loss: 0.1090 loss_ctc: 0.1090 2023/01/06 10:25:33 - mmengine - INFO - Epoch(train) [17][1100/7904] lr: 7.6496e-05 eta: 3:44:16 time: 0.4635 data_time: 0.0022 memory: 11161 loss: 0.1105 loss_ctc: 0.1105 2023/01/06 10:26:18 - mmengine - INFO - Epoch(train) [17][1200/7904] lr: 7.6120e-05 eta: 3:43:32 time: 0.4682 data_time: 0.0022 memory: 11161 loss: 0.1067 loss_ctc: 0.1067 2023/01/06 10:27:05 - mmengine - INFO - Epoch(train) [17][1300/7904] lr: 7.5745e-05 eta: 3:42:48 time: 0.4752 data_time: 0.0023 memory: 11161 loss: 0.1016 loss_ctc: 0.1016 2023/01/06 10:27:52 - mmengine - INFO - Epoch(train) [17][1400/7904] lr: 7.5370e-05 eta: 3:42:05 time: 0.5014 data_time: 0.0023 memory: 11161 loss: 0.1180 loss_ctc: 0.1180 2023/01/06 10:28:42 - mmengine - INFO - Epoch(train) [17][1500/7904] lr: 7.4996e-05 eta: 3:41:22 time: 0.4884 data_time: 0.0022 memory: 11161 loss: 0.1131 loss_ctc: 0.1131 2023/01/06 10:29:00 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 10:29:32 - mmengine - INFO - Epoch(train) [17][1600/7904] lr: 7.4623e-05 eta: 3:40:40 time: 0.4970 data_time: 0.0024 memory: 11161 loss: 0.1159 loss_ctc: 0.1159 2023/01/06 10:30:23 - mmengine - INFO - Epoch(train) [17][1700/7904] lr: 7.4251e-05 eta: 3:39:57 time: 0.4655 data_time: 0.0024 memory: 11161 loss: 0.1090 loss_ctc: 0.1090 2023/01/06 10:31:12 - mmengine - INFO - Epoch(train) [17][1800/7904] lr: 7.3879e-05 eta: 3:39:14 time: 0.4863 data_time: 0.0022 memory: 11161 loss: 0.1047 loss_ctc: 0.1047 2023/01/06 10:32:03 - mmengine - INFO - Epoch(train) [17][1900/7904] lr: 7.3508e-05 eta: 3:38:31 time: 0.4814 data_time: 0.0026 memory: 11161 loss: 0.1087 loss_ctc: 0.1087 2023/01/06 10:32:51 - mmengine - INFO - Epoch(train) [17][2000/7904] lr: 7.3138e-05 eta: 3:37:48 time: 0.4867 data_time: 0.0023 memory: 11161 loss: 0.1042 loss_ctc: 0.1042 2023/01/06 10:33:42 - mmengine - INFO - Epoch(train) [17][2100/7904] lr: 7.2769e-05 eta: 3:37:06 time: 0.5091 data_time: 0.0023 memory: 11161 loss: 0.1157 loss_ctc: 0.1157 2023/01/06 10:34:32 - mmengine - INFO - Epoch(train) [17][2200/7904] lr: 7.2401e-05 eta: 3:36:23 time: 0.4731 data_time: 0.0023 memory: 11161 loss: 0.1154 loss_ctc: 0.1154 2023/01/06 10:35:22 - mmengine - INFO - Epoch(train) [17][2300/7904] lr: 7.2033e-05 eta: 3:35:40 time: 0.4620 data_time: 0.0023 memory: 11161 loss: 0.1085 loss_ctc: 0.1085 2023/01/06 10:36:11 - mmengine - INFO - Epoch(train) [17][2400/7904] lr: 7.1666e-05 eta: 3:34:57 time: 0.4896 data_time: 0.0023 memory: 11161 loss: 0.1108 loss_ctc: 0.1108 2023/01/06 10:37:01 - mmengine - INFO - Epoch(train) [17][2500/7904] lr: 7.1300e-05 eta: 3:34:14 time: 0.4521 data_time: 0.0022 memory: 11161 loss: 0.1185 loss_ctc: 0.1185 2023/01/06 10:37:19 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 10:37:50 - mmengine - INFO - Epoch(train) [17][2600/7904] lr: 7.0934e-05 eta: 3:33:31 time: 0.4680 data_time: 0.0022 memory: 11161 loss: 0.0996 loss_ctc: 0.0996 2023/01/06 10:38:41 - mmengine - INFO - Epoch(train) [17][2700/7904] lr: 7.0570e-05 eta: 3:32:49 time: 0.5474 data_time: 0.0023 memory: 11161 loss: 0.1140 loss_ctc: 0.1140 2023/01/06 10:39:31 - mmengine - INFO - Epoch(train) [17][2800/7904] lr: 7.0206e-05 eta: 3:32:06 time: 0.5330 data_time: 0.0026 memory: 11161 loss: 0.1104 loss_ctc: 0.1104 2023/01/06 10:40:22 - mmengine - INFO - Epoch(train) [17][2900/7904] lr: 6.9843e-05 eta: 3:31:23 time: 0.5261 data_time: 0.0023 memory: 11161 loss: 0.1110 loss_ctc: 0.1110 2023/01/06 10:41:12 - mmengine - INFO - Epoch(train) [17][3000/7904] lr: 6.9481e-05 eta: 3:30:40 time: 0.5130 data_time: 0.0023 memory: 11161 loss: 0.1142 loss_ctc: 0.1142 2023/01/06 10:42:03 - mmengine - INFO - Epoch(train) [17][3100/7904] lr: 6.9120e-05 eta: 3:29:57 time: 0.5041 data_time: 0.0022 memory: 11161 loss: 0.0926 loss_ctc: 0.0926 2023/01/06 10:42:52 - mmengine - INFO - Epoch(train) [17][3200/7904] lr: 6.8759e-05 eta: 3:29:14 time: 0.4692 data_time: 0.0022 memory: 11161 loss: 0.1012 loss_ctc: 0.1012 2023/01/06 10:43:42 - mmengine - INFO - Epoch(train) [17][3300/7904] lr: 6.8399e-05 eta: 3:28:31 time: 0.4758 data_time: 0.0024 memory: 11161 loss: 0.1249 loss_ctc: 0.1249 2023/01/06 10:44:32 - mmengine - INFO - Epoch(train) [17][3400/7904] lr: 6.8040e-05 eta: 3:27:48 time: 0.4751 data_time: 0.0026 memory: 11161 loss: 0.1005 loss_ctc: 0.1005 2023/01/06 10:45:22 - mmengine - INFO - Epoch(train) [17][3500/7904] lr: 6.7682e-05 eta: 3:27:06 time: 0.4820 data_time: 0.0022 memory: 11161 loss: 0.0972 loss_ctc: 0.0972 2023/01/06 10:45:40 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 10:46:11 - mmengine - INFO - Epoch(train) [17][3600/7904] lr: 6.7324e-05 eta: 3:26:22 time: 0.5094 data_time: 0.0023 memory: 11161 loss: 0.1050 loss_ctc: 0.1050 2023/01/06 10:47:02 - mmengine - INFO - Epoch(train) [17][3700/7904] lr: 6.6968e-05 eta: 3:25:40 time: 0.5344 data_time: 0.0024 memory: 11161 loss: 0.1224 loss_ctc: 0.1224 2023/01/06 10:47:51 - mmengine - INFO - Epoch(train) [17][3800/7904] lr: 6.6612e-05 eta: 3:24:56 time: 0.4857 data_time: 0.0023 memory: 11161 loss: 0.1169 loss_ctc: 0.1169 2023/01/06 10:48:39 - mmengine - INFO - Epoch(train) [17][3900/7904] lr: 6.6257e-05 eta: 3:24:13 time: 0.5353 data_time: 0.0022 memory: 11161 loss: 0.1107 loss_ctc: 0.1107 2023/01/06 10:49:28 - mmengine - INFO - Epoch(train) [17][4000/7904] lr: 6.5903e-05 eta: 3:23:30 time: 0.4872 data_time: 0.0023 memory: 11161 loss: 0.1089 loss_ctc: 0.1089 2023/01/06 10:50:15 - mmengine - INFO - Epoch(train) [17][4100/7904] lr: 6.5549e-05 eta: 3:22:46 time: 0.4932 data_time: 0.0024 memory: 11161 loss: 0.1151 loss_ctc: 0.1151 2023/01/06 10:51:05 - mmengine - INFO - Epoch(train) [17][4200/7904] lr: 6.5197e-05 eta: 3:22:03 time: 0.4945 data_time: 0.0023 memory: 11161 loss: 0.1116 loss_ctc: 0.1116 2023/01/06 10:51:55 - mmengine - INFO - Epoch(train) [17][4300/7904] lr: 6.4845e-05 eta: 3:21:20 time: 0.4859 data_time: 0.0023 memory: 11161 loss: 0.1039 loss_ctc: 0.1039 2023/01/06 10:52:44 - mmengine - INFO - Epoch(train) [17][4400/7904] lr: 6.4494e-05 eta: 3:20:37 time: 0.4621 data_time: 0.0022 memory: 11161 loss: 0.0984 loss_ctc: 0.0984 2023/01/06 10:53:33 - mmengine - INFO - Epoch(train) [17][4500/7904] lr: 6.4144e-05 eta: 3:19:54 time: 0.4445 data_time: 0.0023 memory: 11161 loss: 0.1208 loss_ctc: 0.1208 2023/01/06 10:53:50 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 10:54:21 - mmengine - INFO - Epoch(train) [17][4600/7904] lr: 6.3794e-05 eta: 3:19:10 time: 0.4858 data_time: 0.0023 memory: 11161 loss: 0.1188 loss_ctc: 0.1188 2023/01/06 10:55:12 - mmengine - INFO - Epoch(train) [17][4700/7904] lr: 6.3446e-05 eta: 3:18:27 time: 0.5051 data_time: 0.0022 memory: 11161 loss: 0.1086 loss_ctc: 0.1086 2023/01/06 10:56:01 - mmengine - INFO - Epoch(train) [17][4800/7904] lr: 6.3098e-05 eta: 3:17:44 time: 0.5108 data_time: 0.0024 memory: 11161 loss: 0.0960 loss_ctc: 0.0960 2023/01/06 10:56:49 - mmengine - INFO - Epoch(train) [17][4900/7904] lr: 6.2751e-05 eta: 3:17:00 time: 0.4716 data_time: 0.0024 memory: 11161 loss: 0.1120 loss_ctc: 0.1120 2023/01/06 10:57:37 - mmengine - INFO - Epoch(train) [17][5000/7904] lr: 6.2405e-05 eta: 3:16:17 time: 0.5074 data_time: 0.0023 memory: 11161 loss: 0.1042 loss_ctc: 0.1042 2023/01/06 10:58:28 - mmengine - INFO - Epoch(train) [17][5100/7904] lr: 6.2060e-05 eta: 3:15:34 time: 0.5429 data_time: 0.0022 memory: 11161 loss: 0.1028 loss_ctc: 0.1028 2023/01/06 10:59:18 - mmengine - INFO - Epoch(train) [17][5200/7904] lr: 6.1715e-05 eta: 3:14:51 time: 0.5066 data_time: 0.0022 memory: 11161 loss: 0.1145 loss_ctc: 0.1145 2023/01/06 11:00:07 - mmengine - INFO - Epoch(train) [17][5300/7904] lr: 6.1371e-05 eta: 3:14:08 time: 0.4496 data_time: 0.0022 memory: 11161 loss: 0.0990 loss_ctc: 0.0990 2023/01/06 11:00:57 - mmengine - INFO - Epoch(train) [17][5400/7904] lr: 6.1029e-05 eta: 3:13:25 time: 0.4763 data_time: 0.0023 memory: 11161 loss: 0.1167 loss_ctc: 0.1167 2023/01/06 11:01:46 - mmengine - INFO - Epoch(train) [17][5500/7904] lr: 6.0687e-05 eta: 3:12:41 time: 0.4732 data_time: 0.0023 memory: 11161 loss: 0.1070 loss_ctc: 0.1070 2023/01/06 11:02:04 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 11:02:35 - mmengine - INFO - Epoch(train) [17][5600/7904] lr: 6.0346e-05 eta: 3:11:58 time: 0.5309 data_time: 0.0022 memory: 11161 loss: 0.1195 loss_ctc: 0.1195 2023/01/06 11:03:25 - mmengine - INFO - Epoch(train) [17][5700/7904] lr: 6.0005e-05 eta: 3:11:15 time: 0.5237 data_time: 0.0023 memory: 11161 loss: 0.1065 loss_ctc: 0.1065 2023/01/06 11:04:14 - mmengine - INFO - Epoch(train) [17][5800/7904] lr: 5.9666e-05 eta: 3:10:31 time: 0.4957 data_time: 0.0025 memory: 11161 loss: 0.1037 loss_ctc: 0.1037 2023/01/06 11:05:06 - mmengine - INFO - Epoch(train) [17][5900/7904] lr: 5.9327e-05 eta: 3:09:49 time: 0.4474 data_time: 0.0024 memory: 11161 loss: 0.0973 loss_ctc: 0.0973 2023/01/06 11:05:56 - mmengine - INFO - Epoch(train) [17][6000/7904] lr: 5.8989e-05 eta: 3:09:05 time: 0.5364 data_time: 0.0025 memory: 11161 loss: 0.1151 loss_ctc: 0.1151 2023/01/06 11:06:45 - mmengine - INFO - Epoch(train) [17][6100/7904] lr: 5.8652e-05 eta: 3:08:22 time: 0.4967 data_time: 0.0023 memory: 11161 loss: 0.1037 loss_ctc: 0.1037 2023/01/06 11:07:33 - mmengine - INFO - Epoch(train) [17][6200/7904] lr: 5.8316e-05 eta: 3:07:38 time: 0.4902 data_time: 0.0022 memory: 11161 loss: 0.0947 loss_ctc: 0.0947 2023/01/06 11:08:24 - mmengine - INFO - Epoch(train) [17][6300/7904] lr: 5.7981e-05 eta: 3:06:55 time: 0.4911 data_time: 0.0022 memory: 11161 loss: 0.1005 loss_ctc: 0.1005 2023/01/06 11:09:16 - mmengine - INFO - Epoch(train) [17][6400/7904] lr: 5.7646e-05 eta: 3:06:12 time: 0.5335 data_time: 0.0023 memory: 11161 loss: 0.1137 loss_ctc: 0.1137 2023/01/06 11:10:06 - mmengine - INFO - Epoch(train) [17][6500/7904] lr: 5.7313e-05 eta: 3:05:29 time: 0.4621 data_time: 0.0023 memory: 11161 loss: 0.0960 loss_ctc: 0.0960 2023/01/06 11:10:23 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 11:10:55 - mmengine - INFO - Epoch(train) [17][6600/7904] lr: 5.6980e-05 eta: 3:04:46 time: 0.5024 data_time: 0.0023 memory: 11161 loss: 0.1128 loss_ctc: 0.1128 2023/01/06 11:11:42 - mmengine - INFO - Epoch(train) [17][6700/7904] lr: 5.6648e-05 eta: 3:04:02 time: 0.4404 data_time: 0.0022 memory: 11161 loss: 0.1196 loss_ctc: 0.1196 2023/01/06 11:12:31 - mmengine - INFO - Epoch(train) [17][6800/7904] lr: 5.6317e-05 eta: 3:03:19 time: 0.4656 data_time: 0.0022 memory: 11161 loss: 0.1094 loss_ctc: 0.1094 2023/01/06 11:13:20 - mmengine - INFO - Epoch(train) [17][6900/7904] lr: 5.5987e-05 eta: 3:02:35 time: 0.4642 data_time: 0.0022 memory: 11161 loss: 0.1134 loss_ctc: 0.1134 2023/01/06 11:14:10 - mmengine - INFO - Epoch(train) [17][7000/7904] lr: 5.5657e-05 eta: 3:01:52 time: 0.4961 data_time: 0.0023 memory: 11161 loss: 0.1043 loss_ctc: 0.1043 2023/01/06 11:15:00 - mmengine - INFO - Epoch(train) [17][7100/7904] lr: 5.5329e-05 eta: 3:01:08 time: 0.4579 data_time: 0.0034 memory: 11161 loss: 0.1077 loss_ctc: 0.1077 2023/01/06 11:15:50 - mmengine - INFO - Epoch(train) [17][7200/7904] lr: 5.5001e-05 eta: 3:00:25 time: 0.4943 data_time: 0.0022 memory: 11161 loss: 0.1074 loss_ctc: 0.1074 2023/01/06 11:16:39 - mmengine - INFO - Epoch(train) [17][7300/7904] lr: 5.4674e-05 eta: 2:59:42 time: 0.4606 data_time: 0.0022 memory: 11161 loss: 0.0964 loss_ctc: 0.0964 2023/01/06 11:17:28 - mmengine - INFO - Epoch(train) [17][7400/7904] lr: 5.4348e-05 eta: 2:58:58 time: 0.4736 data_time: 0.0023 memory: 11161 loss: 0.1066 loss_ctc: 0.1066 2023/01/06 11:18:17 - mmengine - INFO - Epoch(train) [17][7500/7904] lr: 5.4023e-05 eta: 2:58:15 time: 0.4951 data_time: 0.0023 memory: 11161 loss: 0.0953 loss_ctc: 0.0953 2023/01/06 11:18:35 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 11:19:06 - mmengine - INFO - Epoch(train) [17][7600/7904] lr: 5.3699e-05 eta: 2:57:31 time: 0.3990 data_time: 0.0022 memory: 11161 loss: 0.0960 loss_ctc: 0.0960 2023/01/06 11:19:54 - mmengine - INFO - Epoch(train) [17][7700/7904] lr: 5.3375e-05 eta: 2:56:47 time: 0.4478 data_time: 0.0026 memory: 11161 loss: 0.0986 loss_ctc: 0.0986 2023/01/06 11:20:46 - mmengine - INFO - Epoch(train) [17][7800/7904] lr: 5.3053e-05 eta: 2:56:04 time: 0.4769 data_time: 0.0023 memory: 11161 loss: 0.1018 loss_ctc: 0.1018 2023/01/06 11:21:30 - mmengine - INFO - Epoch(train) [17][7900/7904] lr: 5.2731e-05 eta: 2:55:20 time: 0.3138 data_time: 0.0023 memory: 11161 loss: 0.1040 loss_ctc: 0.1040 2023/01/06 11:21:31 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 11:21:31 - mmengine - INFO - Saving checkpoint at 17 epochs 2023/01/06 11:21:33 - mmengine - INFO - Epoch(val) [17][15/15] CUTE80/recog/word_acc: 0.1667 CUTE80/recog/word_acc_ignore_case: 0.8958 CUTE80/recog/word_acc_ignore_case_symbol: 0.8958 IIIT5K/recog/word_acc: 0.0647 IIIT5K/recog/word_acc_ignore_case: 0.8500 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8500 SVT/recog/word_acc: 0.9026 SVT/recog/word_acc_ignore_case: 0.9026 SVT/recog/word_acc_ignore_case_symbol: 0.9026 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8341 SVTP/recog/word_acc_ignore_case_symbol: 0.8341 IC13/recog/word_acc: 0.2887 IC13/recog/word_acc_ignore_case: 0.9389 IC13/recog/word_acc_ignore_case_symbol: 0.9389 IC15/recog/word_acc: 0.1180 IC15/recog/word_acc_ignore_case: 0.7376 IC15/recog/word_acc_ignore_case_symbol: 0.7439 CUTE80/recog/char_recall: 0.9573 CUTE80/recog/char_precision: 0.9579 IIIT5K/recog/char_recall: 0.9843 IIIT5K/recog/char_precision: 0.9110 SVT/recog/char_recall: 0.9805 SVT/recog/char_precision: 0.9673 SVTP/recog/char_recall: 0.9427 SVTP/recog/char_precision: 0.9520 IC13/recog/char_recall: 0.9887 IC13/recog/char_precision: 0.9762 IC15/recog/char_recall: 0.9316 IC15/recog/char_precision: 0.8876 2023/01/06 11:22:40 - mmengine - INFO - Epoch(train) [18][ 100/7904] lr: 5.2397e-05 eta: 2:54:38 time: 0.4435 data_time: 0.0022 memory: 11161 loss: 0.0983 loss_ctc: 0.0983 2023/01/06 11:23:27 - mmengine - INFO - Epoch(train) [18][ 200/7904] lr: 5.2077e-05 eta: 2:53:54 time: 0.5163 data_time: 0.0022 memory: 11161 loss: 0.1248 loss_ctc: 0.1248 2023/01/06 11:24:15 - mmengine - INFO - Epoch(train) [18][ 300/7904] lr: 5.1758e-05 eta: 2:53:10 time: 0.5552 data_time: 0.0022 memory: 11161 loss: 0.1061 loss_ctc: 0.1061 2023/01/06 11:25:05 - mmengine - INFO - Epoch(train) [18][ 400/7904] lr: 5.1440e-05 eta: 2:52:27 time: 0.5343 data_time: 0.0022 memory: 11161 loss: 0.1008 loss_ctc: 0.1008 2023/01/06 11:25:55 - mmengine - INFO - Epoch(train) [18][ 500/7904] lr: 5.1123e-05 eta: 2:51:43 time: 0.4820 data_time: 0.0023 memory: 11161 loss: 0.0971 loss_ctc: 0.0971 2023/01/06 11:26:43 - mmengine - INFO - Epoch(train) [18][ 600/7904] lr: 5.0806e-05 eta: 2:50:59 time: 0.4809 data_time: 0.0022 memory: 11161 loss: 0.1136 loss_ctc: 0.1136 2023/01/06 11:27:00 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 11:27:33 - mmengine - INFO - Epoch(train) [18][ 700/7904] lr: 5.0491e-05 eta: 2:50:16 time: 0.4672 data_time: 0.0025 memory: 11161 loss: 0.1082 loss_ctc: 0.1082 2023/01/06 11:28:21 - mmengine - INFO - Epoch(train) [18][ 800/7904] lr: 5.0176e-05 eta: 2:49:32 time: 0.4496 data_time: 0.0023 memory: 11161 loss: 0.1084 loss_ctc: 0.1084 2023/01/06 11:29:11 - mmengine - INFO - Epoch(train) [18][ 900/7904] lr: 4.9862e-05 eta: 2:48:49 time: 0.5077 data_time: 0.0023 memory: 11161 loss: 0.0986 loss_ctc: 0.0986 2023/01/06 11:29:59 - mmengine - INFO - Epoch(train) [18][1000/7904] lr: 4.9549e-05 eta: 2:48:05 time: 0.4831 data_time: 0.0023 memory: 11161 loss: 0.1160 loss_ctc: 0.1160 2023/01/06 11:30:48 - mmengine - INFO - Epoch(train) [18][1100/7904] lr: 4.9237e-05 eta: 2:47:21 time: 0.4805 data_time: 0.0023 memory: 11161 loss: 0.1157 loss_ctc: 0.1157 2023/01/06 11:31:37 - mmengine - INFO - Epoch(train) [18][1200/7904] lr: 4.8926e-05 eta: 2:46:37 time: 0.5407 data_time: 0.0025 memory: 11161 loss: 0.1091 loss_ctc: 0.1091 2023/01/06 11:32:26 - mmengine - INFO - Epoch(train) [18][1300/7904] lr: 4.8616e-05 eta: 2:45:54 time: 0.5041 data_time: 0.0026 memory: 11161 loss: 0.0985 loss_ctc: 0.0985 2023/01/06 11:33:16 - mmengine - INFO - Epoch(train) [18][1400/7904] lr: 4.8306e-05 eta: 2:45:10 time: 0.5202 data_time: 0.0022 memory: 11161 loss: 0.1025 loss_ctc: 0.1025 2023/01/06 11:34:07 - mmengine - INFO - Epoch(train) [18][1500/7904] lr: 4.7998e-05 eta: 2:44:27 time: 0.5421 data_time: 0.0023 memory: 11161 loss: 0.1178 loss_ctc: 0.1178 2023/01/06 11:34:57 - mmengine - INFO - Epoch(train) [18][1600/7904] lr: 4.7690e-05 eta: 2:43:44 time: 0.5304 data_time: 0.0023 memory: 11161 loss: 0.1062 loss_ctc: 0.1062 2023/01/06 11:35:14 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 11:35:48 - mmengine - INFO - Epoch(train) [18][1700/7904] lr: 4.7383e-05 eta: 2:43:00 time: 0.5274 data_time: 0.0022 memory: 11161 loss: 0.1052 loss_ctc: 0.1052 2023/01/06 11:36:38 - mmengine - INFO - Epoch(train) [18][1800/7904] lr: 4.7077e-05 eta: 2:42:17 time: 0.5515 data_time: 0.0022 memory: 11161 loss: 0.0982 loss_ctc: 0.0982 2023/01/06 11:37:26 - mmengine - INFO - Epoch(train) [18][1900/7904] lr: 4.6772e-05 eta: 2:41:33 time: 0.4767 data_time: 0.0023 memory: 11161 loss: 0.1119 loss_ctc: 0.1119 2023/01/06 11:38:15 - mmengine - INFO - Epoch(train) [18][2000/7904] lr: 4.6468e-05 eta: 2:40:49 time: 0.4629 data_time: 0.0022 memory: 11161 loss: 0.1129 loss_ctc: 0.1129 2023/01/06 11:39:04 - mmengine - INFO - Epoch(train) [18][2100/7904] lr: 4.6165e-05 eta: 2:40:05 time: 0.4687 data_time: 0.0022 memory: 11161 loss: 0.1064 loss_ctc: 0.1064 2023/01/06 11:39:54 - mmengine - INFO - Epoch(train) [18][2200/7904] lr: 4.5862e-05 eta: 2:39:22 time: 0.5246 data_time: 0.0022 memory: 11161 loss: 0.1101 loss_ctc: 0.1101 2023/01/06 11:40:45 - mmengine - INFO - Epoch(train) [18][2300/7904] lr: 4.5561e-05 eta: 2:38:38 time: 0.5251 data_time: 0.0022 memory: 11161 loss: 0.0967 loss_ctc: 0.0967 2023/01/06 11:41:36 - mmengine - INFO - Epoch(train) [18][2400/7904] lr: 4.5260e-05 eta: 2:37:55 time: 0.5021 data_time: 0.0022 memory: 11161 loss: 0.0944 loss_ctc: 0.0944 2023/01/06 11:42:25 - mmengine - INFO - Epoch(train) [18][2500/7904] lr: 4.4961e-05 eta: 2:37:11 time: 0.4640 data_time: 0.0023 memory: 11161 loss: 0.1041 loss_ctc: 0.1041 2023/01/06 11:43:13 - mmengine - INFO - Epoch(train) [18][2600/7904] lr: 4.4662e-05 eta: 2:36:27 time: 0.4963 data_time: 0.0023 memory: 11161 loss: 0.1137 loss_ctc: 0.1137 2023/01/06 11:43:28 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 11:44:00 - mmengine - INFO - Epoch(train) [18][2700/7904] lr: 4.4364e-05 eta: 2:35:43 time: 0.4589 data_time: 0.0025 memory: 11161 loss: 0.1178 loss_ctc: 0.1178 2023/01/06 11:44:48 - mmengine - INFO - Epoch(train) [18][2800/7904] lr: 4.4067e-05 eta: 2:34:59 time: 0.4432 data_time: 0.0022 memory: 11161 loss: 0.0998 loss_ctc: 0.0998 2023/01/06 11:45:37 - mmengine - INFO - Epoch(train) [18][2900/7904] lr: 4.3771e-05 eta: 2:34:15 time: 0.4569 data_time: 0.0024 memory: 11161 loss: 0.0961 loss_ctc: 0.0961 2023/01/06 11:46:27 - mmengine - INFO - Epoch(train) [18][3000/7904] lr: 4.3476e-05 eta: 2:33:32 time: 0.4775 data_time: 0.0024 memory: 11161 loss: 0.0987 loss_ctc: 0.0987 2023/01/06 11:47:16 - mmengine - INFO - Epoch(train) [18][3100/7904] lr: 4.3182e-05 eta: 2:32:48 time: 0.4790 data_time: 0.0023 memory: 11161 loss: 0.0993 loss_ctc: 0.0993 2023/01/06 11:48:06 - mmengine - INFO - Epoch(train) [18][3200/7904] lr: 4.2888e-05 eta: 2:32:04 time: 0.4846 data_time: 0.0023 memory: 11161 loss: 0.1008 loss_ctc: 0.1008 2023/01/06 11:48:55 - mmengine - INFO - Epoch(train) [18][3300/7904] lr: 4.2596e-05 eta: 2:31:20 time: 0.4690 data_time: 0.0024 memory: 11161 loss: 0.1022 loss_ctc: 0.1022 2023/01/06 11:49:44 - mmengine - INFO - Epoch(train) [18][3400/7904] lr: 4.2304e-05 eta: 2:30:36 time: 0.4196 data_time: 0.0023 memory: 11161 loss: 0.1070 loss_ctc: 0.1070 2023/01/06 11:50:32 - mmengine - INFO - Epoch(train) [18][3500/7904] lr: 4.2014e-05 eta: 2:29:52 time: 0.4480 data_time: 0.0023 memory: 11161 loss: 0.1191 loss_ctc: 0.1191 2023/01/06 11:51:20 - mmengine - INFO - Epoch(train) [18][3600/7904] lr: 4.1724e-05 eta: 2:29:09 time: 0.4773 data_time: 0.0022 memory: 11161 loss: 0.1041 loss_ctc: 0.1041 2023/01/06 11:51:35 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 11:52:07 - mmengine - INFO - Epoch(train) [18][3700/7904] lr: 4.1435e-05 eta: 2:28:24 time: 0.4673 data_time: 0.0023 memory: 11161 loss: 0.1095 loss_ctc: 0.1095 2023/01/06 11:52:56 - mmengine - INFO - Epoch(train) [18][3800/7904] lr: 4.1147e-05 eta: 2:27:40 time: 0.5245 data_time: 0.0023 memory: 11161 loss: 0.1082 loss_ctc: 0.1082 2023/01/06 11:53:47 - mmengine - INFO - Epoch(train) [18][3900/7904] lr: 4.0860e-05 eta: 2:26:57 time: 0.5420 data_time: 0.0023 memory: 11161 loss: 0.1053 loss_ctc: 0.1053 2023/01/06 11:54:38 - mmengine - INFO - Epoch(train) [18][4000/7904] lr: 4.0574e-05 eta: 2:26:13 time: 0.5113 data_time: 0.0023 memory: 11161 loss: 0.0880 loss_ctc: 0.0880 2023/01/06 11:55:27 - mmengine - INFO - Epoch(train) [18][4100/7904] lr: 4.0289e-05 eta: 2:25:30 time: 0.4984 data_time: 0.0022 memory: 11161 loss: 0.1048 loss_ctc: 0.1048 2023/01/06 11:56:17 - mmengine - INFO - Epoch(train) [18][4200/7904] lr: 4.0005e-05 eta: 2:24:46 time: 0.5059 data_time: 0.0022 memory: 11161 loss: 0.1045 loss_ctc: 0.1045 2023/01/06 11:57:07 - mmengine - INFO - Epoch(train) [18][4300/7904] lr: 3.9721e-05 eta: 2:24:02 time: 0.4998 data_time: 0.0022 memory: 11161 loss: 0.1077 loss_ctc: 0.1077 2023/01/06 11:57:56 - mmengine - INFO - Epoch(train) [18][4400/7904] lr: 3.9439e-05 eta: 2:23:18 time: 0.4976 data_time: 0.0026 memory: 11161 loss: 0.1012 loss_ctc: 0.1012 2023/01/06 11:58:46 - mmengine - INFO - Epoch(train) [18][4500/7904] lr: 3.9157e-05 eta: 2:22:34 time: 0.4831 data_time: 0.0022 memory: 11161 loss: 0.1016 loss_ctc: 0.1016 2023/01/06 11:59:35 - mmengine - INFO - Epoch(train) [18][4600/7904] lr: 3.8877e-05 eta: 2:21:50 time: 0.5025 data_time: 0.0023 memory: 11161 loss: 0.0903 loss_ctc: 0.0903 2023/01/06 11:59:51 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 12:00:26 - mmengine - INFO - Epoch(train) [18][4700/7904] lr: 3.8597e-05 eta: 2:21:07 time: 0.5888 data_time: 0.0022 memory: 11161 loss: 0.0952 loss_ctc: 0.0952 2023/01/06 12:01:17 - mmengine - INFO - Epoch(train) [18][4800/7904] lr: 3.8319e-05 eta: 2:20:23 time: 0.5166 data_time: 0.0023 memory: 11161 loss: 0.0987 loss_ctc: 0.0987 2023/01/06 12:02:07 - mmengine - INFO - Epoch(train) [18][4900/7904] lr: 3.8041e-05 eta: 2:19:39 time: 0.5629 data_time: 0.0023 memory: 11161 loss: 0.0972 loss_ctc: 0.0972 2023/01/06 12:02:56 - mmengine - INFO - Epoch(train) [18][5000/7904] lr: 3.7764e-05 eta: 2:18:55 time: 0.4843 data_time: 0.0023 memory: 11161 loss: 0.0964 loss_ctc: 0.0964 2023/01/06 12:03:44 - mmengine - INFO - Epoch(train) [18][5100/7904] lr: 3.7488e-05 eta: 2:18:11 time: 0.4995 data_time: 0.0022 memory: 11161 loss: 0.0929 loss_ctc: 0.0929 2023/01/06 12:04:32 - mmengine - INFO - Epoch(train) [18][5200/7904] lr: 3.7213e-05 eta: 2:17:27 time: 0.5228 data_time: 0.0024 memory: 11161 loss: 0.1031 loss_ctc: 0.1031 2023/01/06 12:05:21 - mmengine - INFO - Epoch(train) [18][5300/7904] lr: 3.6939e-05 eta: 2:16:43 time: 0.4637 data_time: 0.0022 memory: 11161 loss: 0.1074 loss_ctc: 0.1074 2023/01/06 12:06:09 - mmengine - INFO - Epoch(train) [18][5400/7904] lr: 3.6666e-05 eta: 2:15:59 time: 0.5097 data_time: 0.0023 memory: 11161 loss: 0.0894 loss_ctc: 0.0894 2023/01/06 12:06:58 - mmengine - INFO - Epoch(train) [18][5500/7904] lr: 3.6394e-05 eta: 2:15:15 time: 0.4981 data_time: 0.0039 memory: 11161 loss: 0.0948 loss_ctc: 0.0948 2023/01/06 12:07:46 - mmengine - INFO - Epoch(train) [18][5600/7904] lr: 3.6122e-05 eta: 2:14:31 time: 0.4822 data_time: 0.0023 memory: 11161 loss: 0.1080 loss_ctc: 0.1080 2023/01/06 12:08:03 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 12:08:37 - mmengine - INFO - Epoch(train) [18][5700/7904] lr: 3.5852e-05 eta: 2:13:47 time: 0.5216 data_time: 0.0024 memory: 11161 loss: 0.1055 loss_ctc: 0.1055 2023/01/06 12:09:27 - mmengine - INFO - Epoch(train) [18][5800/7904] lr: 3.5583e-05 eta: 2:13:03 time: 0.4814 data_time: 0.0044 memory: 11161 loss: 0.0974 loss_ctc: 0.0974 2023/01/06 12:10:17 - mmengine - INFO - Epoch(train) [18][5900/7904] lr: 3.5314e-05 eta: 2:12:19 time: 0.4639 data_time: 0.0023 memory: 11161 loss: 0.0977 loss_ctc: 0.0977 2023/01/06 12:11:07 - mmengine - INFO - Epoch(train) [18][6000/7904] lr: 3.5047e-05 eta: 2:11:35 time: 0.5042 data_time: 0.0024 memory: 11161 loss: 0.0985 loss_ctc: 0.0985 2023/01/06 12:11:57 - mmengine - INFO - Epoch(train) [18][6100/7904] lr: 3.4780e-05 eta: 2:10:52 time: 0.4738 data_time: 0.0023 memory: 11161 loss: 0.1025 loss_ctc: 0.1025 2023/01/06 12:12:46 - mmengine - INFO - Epoch(train) [18][6200/7904] lr: 3.4514e-05 eta: 2:10:08 time: 0.4436 data_time: 0.0022 memory: 11161 loss: 0.0892 loss_ctc: 0.0892 2023/01/06 12:13:37 - mmengine - INFO - Epoch(train) [18][6300/7904] lr: 3.4250e-05 eta: 2:09:24 time: 0.5199 data_time: 0.0023 memory: 11161 loss: 0.1160 loss_ctc: 0.1160 2023/01/06 12:14:27 - mmengine - INFO - Epoch(train) [18][6400/7904] lr: 3.3986e-05 eta: 2:08:40 time: 0.5132 data_time: 0.0022 memory: 11161 loss: 0.1044 loss_ctc: 0.1044 2023/01/06 12:15:15 - mmengine - INFO - Epoch(train) [18][6500/7904] lr: 3.3723e-05 eta: 2:07:56 time: 0.4346 data_time: 0.0022 memory: 11161 loss: 0.1162 loss_ctc: 0.1162 2023/01/06 12:16:04 - mmengine - INFO - Epoch(train) [18][6600/7904] lr: 3.3461e-05 eta: 2:07:12 time: 0.4975 data_time: 0.0022 memory: 11161 loss: 0.1201 loss_ctc: 0.1201 2023/01/06 12:16:20 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 12:16:54 - mmengine - INFO - Epoch(train) [18][6700/7904] lr: 3.3201e-05 eta: 2:06:28 time: 0.4810 data_time: 0.0023 memory: 11161 loss: 0.1009 loss_ctc: 0.1009 2023/01/06 12:17:42 - mmengine - INFO - Epoch(train) [18][6800/7904] lr: 3.2941e-05 eta: 2:05:43 time: 0.5079 data_time: 0.0022 memory: 11161 loss: 0.0881 loss_ctc: 0.0881 2023/01/06 12:18:33 - mmengine - INFO - Epoch(train) [18][6900/7904] lr: 3.2682e-05 eta: 2:05:00 time: 0.5108 data_time: 0.0023 memory: 11161 loss: 0.0983 loss_ctc: 0.0983 2023/01/06 12:19:22 - mmengine - INFO - Epoch(train) [18][7000/7904] lr: 3.2423e-05 eta: 2:04:15 time: 0.5040 data_time: 0.0335 memory: 11161 loss: 0.0956 loss_ctc: 0.0956 2023/01/06 12:20:11 - mmengine - INFO - Epoch(train) [18][7100/7904] lr: 3.2166e-05 eta: 2:03:31 time: 0.5281 data_time: 0.0024 memory: 11161 loss: 0.1090 loss_ctc: 0.1090 2023/01/06 12:20:59 - mmengine - INFO - Epoch(train) [18][7200/7904] lr: 3.1910e-05 eta: 2:02:47 time: 0.4943 data_time: 0.0023 memory: 11161 loss: 0.1033 loss_ctc: 0.1033 2023/01/06 12:21:48 - mmengine - INFO - Epoch(train) [18][7300/7904] lr: 3.1655e-05 eta: 2:02:03 time: 0.5012 data_time: 0.0022 memory: 11161 loss: 0.1009 loss_ctc: 0.1009 2023/01/06 12:22:39 - mmengine - INFO - Epoch(train) [18][7400/7904] lr: 3.1401e-05 eta: 2:01:19 time: 0.5053 data_time: 0.0022 memory: 11161 loss: 0.0988 loss_ctc: 0.0988 2023/01/06 12:23:29 - mmengine - INFO - Epoch(train) [18][7500/7904] lr: 3.1148e-05 eta: 2:00:35 time: 0.5345 data_time: 0.0026 memory: 11161 loss: 0.0976 loss_ctc: 0.0976 2023/01/06 12:24:19 - mmengine - INFO - Epoch(train) [18][7600/7904] lr: 3.0895e-05 eta: 1:59:51 time: 0.5356 data_time: 0.0028 memory: 11161 loss: 0.0920 loss_ctc: 0.0920 2023/01/06 12:24:35 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 12:25:08 - mmengine - INFO - Epoch(train) [18][7700/7904] lr: 3.0644e-05 eta: 1:59:07 time: 0.5264 data_time: 0.0022 memory: 11161 loss: 0.0834 loss_ctc: 0.0834 2023/01/06 12:25:58 - mmengine - INFO - Epoch(train) [18][7800/7904] lr: 3.0393e-05 eta: 1:58:23 time: 0.4547 data_time: 0.0024 memory: 11161 loss: 0.1096 loss_ctc: 0.1096 2023/01/06 12:26:41 - mmengine - INFO - Epoch(train) [18][7900/7904] lr: 3.0144e-05 eta: 1:57:38 time: 0.3125 data_time: 0.0022 memory: 11161 loss: 0.1049 loss_ctc: 0.1049 2023/01/06 12:26:42 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 12:26:42 - mmengine - INFO - Saving checkpoint at 18 epochs 2023/01/06 12:26:45 - mmengine - INFO - Epoch(val) [18][15/15] CUTE80/recog/word_acc: 0.1667 CUTE80/recog/word_acc_ignore_case: 0.8924 CUTE80/recog/word_acc_ignore_case_symbol: 0.8924 IIIT5K/recog/word_acc: 0.0650 IIIT5K/recog/word_acc_ignore_case: 0.8473 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8473 SVT/recog/word_acc: 0.8964 SVT/recog/word_acc_ignore_case: 0.8964 SVT/recog/word_acc_ignore_case_symbol: 0.8964 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8434 SVTP/recog/word_acc_ignore_case_symbol: 0.8434 IC13/recog/word_acc: 0.2857 IC13/recog/word_acc_ignore_case: 0.9369 IC13/recog/word_acc_ignore_case_symbol: 0.9369 IC15/recog/word_acc: 0.1156 IC15/recog/word_acc_ignore_case: 0.7347 IC15/recog/word_acc_ignore_case_symbol: 0.7419 CUTE80/recog/char_recall: 0.9492 CUTE80/recog/char_precision: 0.9492 IIIT5K/recog/char_recall: 0.9853 IIIT5K/recog/char_precision: 0.9084 SVT/recog/char_recall: 0.9776 SVT/recog/char_precision: 0.9639 SVTP/recog/char_recall: 0.9445 SVTP/recog/char_precision: 0.9529 IC13/recog/char_recall: 0.9887 IC13/recog/char_precision: 0.9741 IC15/recog/char_recall: 0.9351 IC15/recog/char_precision: 0.8837 2023/01/06 12:27:51 - mmengine - INFO - Epoch(train) [19][ 100/7904] lr: 2.9886e-05 eta: 1:56:54 time: 0.5454 data_time: 0.0022 memory: 11161 loss: 0.0983 loss_ctc: 0.0983 2023/01/06 12:28:41 - mmengine - INFO - Epoch(train) [19][ 200/7904] lr: 2.9638e-05 eta: 1:56:10 time: 0.5245 data_time: 0.0025 memory: 11161 loss: 0.1046 loss_ctc: 0.1046 2023/01/06 12:29:29 - mmengine - INFO - Epoch(train) [19][ 300/7904] lr: 2.9392e-05 eta: 1:55:26 time: 0.4315 data_time: 0.0023 memory: 11161 loss: 0.0920 loss_ctc: 0.0920 2023/01/06 12:30:17 - mmengine - INFO - Epoch(train) [19][ 400/7904] lr: 2.9146e-05 eta: 1:54:41 time: 0.4480 data_time: 0.0024 memory: 11161 loss: 0.0963 loss_ctc: 0.0963 2023/01/06 12:31:03 - mmengine - INFO - Epoch(train) [19][ 500/7904] lr: 2.8901e-05 eta: 1:53:57 time: 0.4461 data_time: 0.0023 memory: 11161 loss: 0.1010 loss_ctc: 0.1010 2023/01/06 12:31:50 - mmengine - INFO - Epoch(train) [19][ 600/7904] lr: 2.8658e-05 eta: 1:53:12 time: 0.4794 data_time: 0.0027 memory: 11161 loss: 0.1001 loss_ctc: 0.1001 2023/01/06 12:32:40 - mmengine - INFO - Epoch(train) [19][ 700/7904] lr: 2.8415e-05 eta: 1:52:28 time: 0.4941 data_time: 0.0024 memory: 11161 loss: 0.1113 loss_ctc: 0.1113 2023/01/06 12:32:54 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 12:33:30 - mmengine - INFO - Epoch(train) [19][ 800/7904] lr: 2.8174e-05 eta: 1:51:44 time: 0.4685 data_time: 0.0024 memory: 11161 loss: 0.1013 loss_ctc: 0.1013 2023/01/06 12:34:18 - mmengine - INFO - Epoch(train) [19][ 900/7904] lr: 2.7933e-05 eta: 1:51:00 time: 0.4898 data_time: 0.0024 memory: 11161 loss: 0.0969 loss_ctc: 0.0969 2023/01/06 12:35:08 - mmengine - INFO - Epoch(train) [19][1000/7904] lr: 2.7693e-05 eta: 1:50:16 time: 0.5081 data_time: 0.0023 memory: 11161 loss: 0.0877 loss_ctc: 0.0877 2023/01/06 12:35:58 - mmengine - INFO - Epoch(train) [19][1100/7904] lr: 2.7454e-05 eta: 1:49:32 time: 0.4816 data_time: 0.0025 memory: 11161 loss: 0.1020 loss_ctc: 0.1020 2023/01/06 12:36:49 - mmengine - INFO - Epoch(train) [19][1200/7904] lr: 2.7217e-05 eta: 1:48:47 time: 0.4827 data_time: 0.0024 memory: 11161 loss: 0.1018 loss_ctc: 0.1018 2023/01/06 12:37:39 - mmengine - INFO - Epoch(train) [19][1300/7904] lr: 2.6980e-05 eta: 1:48:03 time: 0.4984 data_time: 0.0024 memory: 11161 loss: 0.1008 loss_ctc: 0.1008 2023/01/06 12:38:29 - mmengine - INFO - Epoch(train) [19][1400/7904] lr: 2.6744e-05 eta: 1:47:19 time: 0.5107 data_time: 0.0025 memory: 11161 loss: 0.1029 loss_ctc: 0.1029 2023/01/06 12:39:16 - mmengine - INFO - Epoch(train) [19][1500/7904] lr: 2.6509e-05 eta: 1:46:35 time: 0.4576 data_time: 0.0024 memory: 11161 loss: 0.1083 loss_ctc: 0.1083 2023/01/06 12:40:06 - mmengine - INFO - Epoch(train) [19][1600/7904] lr: 2.6275e-05 eta: 1:45:50 time: 0.5132 data_time: 0.0024 memory: 11161 loss: 0.1046 loss_ctc: 0.1046 2023/01/06 12:40:56 - mmengine - INFO - Epoch(train) [19][1700/7904] lr: 2.6042e-05 eta: 1:45:06 time: 0.5135 data_time: 0.0023 memory: 11161 loss: 0.0970 loss_ctc: 0.0970 2023/01/06 12:41:10 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 12:41:45 - mmengine - INFO - Epoch(train) [19][1800/7904] lr: 2.5810e-05 eta: 1:44:22 time: 0.5119 data_time: 0.0024 memory: 11161 loss: 0.1000 loss_ctc: 0.1000 2023/01/06 12:42:35 - mmengine - INFO - Epoch(train) [19][1900/7904] lr: 2.5579e-05 eta: 1:43:38 time: 0.5292 data_time: 0.0024 memory: 11161 loss: 0.1019 loss_ctc: 0.1019 2023/01/06 12:43:24 - mmengine - INFO - Epoch(train) [19][2000/7904] lr: 2.5349e-05 eta: 1:42:54 time: 0.4701 data_time: 0.0024 memory: 11161 loss: 0.1014 loss_ctc: 0.1014 2023/01/06 12:44:14 - mmengine - INFO - Epoch(train) [19][2100/7904] lr: 2.5120e-05 eta: 1:42:09 time: 0.4145 data_time: 0.0024 memory: 11161 loss: 0.0957 loss_ctc: 0.0957 2023/01/06 12:45:03 - mmengine - INFO - Epoch(train) [19][2200/7904] lr: 2.4892e-05 eta: 1:41:25 time: 0.4751 data_time: 0.0025 memory: 11161 loss: 0.0955 loss_ctc: 0.0955 2023/01/06 12:45:53 - mmengine - INFO - Epoch(train) [19][2300/7904] lr: 2.4665e-05 eta: 1:40:41 time: 0.4559 data_time: 0.0027 memory: 11161 loss: 0.1023 loss_ctc: 0.1023 2023/01/06 12:46:42 - mmengine - INFO - Epoch(train) [19][2400/7904] lr: 2.4439e-05 eta: 1:39:56 time: 0.5142 data_time: 0.0026 memory: 11161 loss: 0.1054 loss_ctc: 0.1054 2023/01/06 12:47:31 - mmengine - INFO - Epoch(train) [19][2500/7904] lr: 2.4214e-05 eta: 1:39:12 time: 0.4741 data_time: 0.0023 memory: 11161 loss: 0.1040 loss_ctc: 0.1040 2023/01/06 12:48:20 - mmengine - INFO - Epoch(train) [19][2600/7904] lr: 2.3990e-05 eta: 1:38:28 time: 0.4740 data_time: 0.0024 memory: 11161 loss: 0.1005 loss_ctc: 0.1005 2023/01/06 12:49:08 - mmengine - INFO - Epoch(train) [19][2700/7904] lr: 2.3767e-05 eta: 1:37:43 time: 0.5131 data_time: 0.0025 memory: 11161 loss: 0.1003 loss_ctc: 0.1003 2023/01/06 12:49:22 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 12:49:58 - mmengine - INFO - Epoch(train) [19][2800/7904] lr: 2.3545e-05 eta: 1:36:59 time: 0.4929 data_time: 0.0024 memory: 11161 loss: 0.1080 loss_ctc: 0.1080 2023/01/06 12:50:47 - mmengine - INFO - Epoch(train) [19][2900/7904] lr: 2.3324e-05 eta: 1:36:15 time: 0.4550 data_time: 0.0024 memory: 11161 loss: 0.1035 loss_ctc: 0.1035 2023/01/06 12:51:34 - mmengine - INFO - Epoch(train) [19][3000/7904] lr: 2.3104e-05 eta: 1:35:30 time: 0.4507 data_time: 0.0026 memory: 11161 loss: 0.1102 loss_ctc: 0.1102 2023/01/06 12:52:22 - mmengine - INFO - Epoch(train) [19][3100/7904] lr: 2.2885e-05 eta: 1:34:46 time: 0.4625 data_time: 0.0024 memory: 11161 loss: 0.1006 loss_ctc: 0.1006 2023/01/06 12:53:11 - mmengine - INFO - Epoch(train) [19][3200/7904] lr: 2.2667e-05 eta: 1:34:01 time: 0.5210 data_time: 0.0027 memory: 11161 loss: 0.0986 loss_ctc: 0.0986 2023/01/06 12:53:59 - mmengine - INFO - Epoch(train) [19][3300/7904] lr: 2.2450e-05 eta: 1:33:17 time: 0.4663 data_time: 0.0023 memory: 11161 loss: 0.1072 loss_ctc: 0.1072 2023/01/06 12:54:48 - mmengine - INFO - Epoch(train) [19][3400/7904] lr: 2.2234e-05 eta: 1:32:32 time: 0.4727 data_time: 0.0024 memory: 11161 loss: 0.0947 loss_ctc: 0.0947 2023/01/06 12:55:38 - mmengine - INFO - Epoch(train) [19][3500/7904] lr: 2.2019e-05 eta: 1:31:48 time: 0.4670 data_time: 0.0024 memory: 11161 loss: 0.0839 loss_ctc: 0.0839 2023/01/06 12:56:25 - mmengine - INFO - Epoch(train) [19][3600/7904] lr: 2.1804e-05 eta: 1:31:03 time: 0.4841 data_time: 0.0023 memory: 11161 loss: 0.0992 loss_ctc: 0.0992 2023/01/06 12:57:14 - mmengine - INFO - Epoch(train) [19][3700/7904] lr: 2.1591e-05 eta: 1:30:19 time: 0.4981 data_time: 0.0025 memory: 11161 loss: 0.0799 loss_ctc: 0.0799 2023/01/06 12:57:28 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 12:58:01 - mmengine - INFO - Epoch(train) [19][3800/7904] lr: 2.1379e-05 eta: 1:29:35 time: 0.4602 data_time: 0.0024 memory: 11161 loss: 0.0997 loss_ctc: 0.0997 2023/01/06 12:58:49 - mmengine - INFO - Epoch(train) [19][3900/7904] lr: 2.1168e-05 eta: 1:28:50 time: 0.4981 data_time: 0.0024 memory: 11161 loss: 0.0985 loss_ctc: 0.0985 2023/01/06 12:59:39 - mmengine - INFO - Epoch(train) [19][4000/7904] lr: 2.0958e-05 eta: 1:28:06 time: 0.4891 data_time: 0.0024 memory: 11161 loss: 0.1002 loss_ctc: 0.1002 2023/01/06 13:00:29 - mmengine - INFO - Epoch(train) [19][4100/7904] lr: 2.0749e-05 eta: 1:27:21 time: 0.5117 data_time: 0.0023 memory: 11161 loss: 0.1078 loss_ctc: 0.1078 2023/01/06 13:01:17 - mmengine - INFO - Epoch(train) [19][4200/7904] lr: 2.0541e-05 eta: 1:26:37 time: 0.4494 data_time: 0.0025 memory: 11161 loss: 0.0904 loss_ctc: 0.0904 2023/01/06 13:02:06 - mmengine - INFO - Epoch(train) [19][4300/7904] lr: 2.0334e-05 eta: 1:25:52 time: 0.4696 data_time: 0.0026 memory: 11161 loss: 0.0881 loss_ctc: 0.0881 2023/01/06 13:02:55 - mmengine - INFO - Epoch(train) [19][4400/7904] lr: 2.0128e-05 eta: 1:25:08 time: 0.4842 data_time: 0.0027 memory: 11161 loss: 0.0976 loss_ctc: 0.0976 2023/01/06 13:03:44 - mmengine - INFO - Epoch(train) [19][4500/7904] lr: 1.9923e-05 eta: 1:24:23 time: 0.4895 data_time: 0.0023 memory: 11161 loss: 0.0907 loss_ctc: 0.0907 2023/01/06 13:04:33 - mmengine - INFO - Epoch(train) [19][4600/7904] lr: 1.9718e-05 eta: 1:23:39 time: 0.5273 data_time: 0.0024 memory: 11161 loss: 0.0930 loss_ctc: 0.0930 2023/01/06 13:05:21 - mmengine - INFO - Epoch(train) [19][4700/7904] lr: 1.9515e-05 eta: 1:22:54 time: 0.4422 data_time: 0.0022 memory: 11161 loss: 0.0974 loss_ctc: 0.0974 2023/01/06 13:05:34 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 13:06:12 - mmengine - INFO - Epoch(train) [19][4800/7904] lr: 1.9313e-05 eta: 1:22:10 time: 0.4203 data_time: 0.0023 memory: 11161 loss: 0.1057 loss_ctc: 0.1057 2023/01/06 13:07:01 - mmengine - INFO - Epoch(train) [19][4900/7904] lr: 1.9112e-05 eta: 1:21:26 time: 0.4776 data_time: 0.0026 memory: 11161 loss: 0.0993 loss_ctc: 0.0993 2023/01/06 13:07:50 - mmengine - INFO - Epoch(train) [19][5000/7904] lr: 1.8912e-05 eta: 1:20:41 time: 0.5222 data_time: 0.0024 memory: 11161 loss: 0.1061 loss_ctc: 0.1061 2023/01/06 13:08:38 - mmengine - INFO - Epoch(train) [19][5100/7904] lr: 1.8713e-05 eta: 1:19:57 time: 0.5031 data_time: 0.0024 memory: 11161 loss: 0.1032 loss_ctc: 0.1032 2023/01/06 13:09:27 - mmengine - INFO - Epoch(train) [19][5200/7904] lr: 1.8515e-05 eta: 1:19:12 time: 0.4614 data_time: 0.0023 memory: 11161 loss: 0.0914 loss_ctc: 0.0914 2023/01/06 13:10:16 - mmengine - INFO - Epoch(train) [19][5300/7904] lr: 1.8318e-05 eta: 1:18:28 time: 0.4990 data_time: 0.0023 memory: 11161 loss: 0.0909 loss_ctc: 0.0909 2023/01/06 13:11:06 - mmengine - INFO - Epoch(train) [19][5400/7904] lr: 1.8122e-05 eta: 1:17:43 time: 0.4485 data_time: 0.0023 memory: 11161 loss: 0.1058 loss_ctc: 0.1058 2023/01/06 13:11:55 - mmengine - INFO - Epoch(train) [19][5500/7904] lr: 1.7927e-05 eta: 1:16:59 time: 0.5109 data_time: 0.0027 memory: 11161 loss: 0.1067 loss_ctc: 0.1067 2023/01/06 13:12:43 - mmengine - INFO - Epoch(train) [19][5600/7904] lr: 1.7733e-05 eta: 1:16:14 time: 0.5072 data_time: 0.0024 memory: 11161 loss: 0.0990 loss_ctc: 0.0990 2023/01/06 13:13:32 - mmengine - INFO - Epoch(train) [19][5700/7904] lr: 1.7540e-05 eta: 1:15:29 time: 0.4762 data_time: 0.0025 memory: 11161 loss: 0.1026 loss_ctc: 0.1026 2023/01/06 13:13:45 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 13:14:20 - mmengine - INFO - Epoch(train) [19][5800/7904] lr: 1.7348e-05 eta: 1:14:45 time: 0.4527 data_time: 0.0026 memory: 11161 loss: 0.0974 loss_ctc: 0.0974 2023/01/06 13:15:08 - mmengine - INFO - Epoch(train) [19][5900/7904] lr: 1.7157e-05 eta: 1:14:00 time: 0.4421 data_time: 0.0027 memory: 11161 loss: 0.1011 loss_ctc: 0.1011 2023/01/06 13:15:56 - mmengine - INFO - Epoch(train) [19][6000/7904] lr: 1.6968e-05 eta: 1:13:16 time: 0.4895 data_time: 0.0024 memory: 11161 loss: 0.1164 loss_ctc: 0.1164 2023/01/06 13:16:44 - mmengine - INFO - Epoch(train) [19][6100/7904] lr: 1.6779e-05 eta: 1:12:31 time: 0.5137 data_time: 0.0025 memory: 11161 loss: 0.1079 loss_ctc: 0.1079 2023/01/06 13:17:32 - mmengine - INFO - Epoch(train) [19][6200/7904] lr: 1.6591e-05 eta: 1:11:46 time: 0.4474 data_time: 0.0026 memory: 11161 loss: 0.0958 loss_ctc: 0.0958 2023/01/06 13:18:21 - mmengine - INFO - Epoch(train) [19][6300/7904] lr: 1.6404e-05 eta: 1:11:02 time: 0.5078 data_time: 0.0024 memory: 11161 loss: 0.1080 loss_ctc: 0.1080 2023/01/06 13:19:11 - mmengine - INFO - Epoch(train) [19][6400/7904] lr: 1.6218e-05 eta: 1:10:17 time: 0.5125 data_time: 0.0024 memory: 11161 loss: 0.0989 loss_ctc: 0.0989 2023/01/06 13:20:00 - mmengine - INFO - Epoch(train) [19][6500/7904] lr: 1.6033e-05 eta: 1:09:33 time: 0.4620 data_time: 0.0026 memory: 11161 loss: 0.1050 loss_ctc: 0.1050 2023/01/06 13:20:49 - mmengine - INFO - Epoch(train) [19][6600/7904] lr: 1.5850e-05 eta: 1:08:48 time: 0.4946 data_time: 0.0024 memory: 11161 loss: 0.1089 loss_ctc: 0.1089 2023/01/06 13:21:38 - mmengine - INFO - Epoch(train) [19][6700/7904] lr: 1.5667e-05 eta: 1:08:04 time: 0.5239 data_time: 0.0024 memory: 11161 loss: 0.0980 loss_ctc: 0.0980 2023/01/06 13:21:51 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 13:22:27 - mmengine - INFO - Epoch(train) [19][6800/7904] lr: 1.5485e-05 eta: 1:07:19 time: 0.5542 data_time: 0.0026 memory: 11161 loss: 0.1072 loss_ctc: 0.1072 2023/01/06 13:23:15 - mmengine - INFO - Epoch(train) [19][6900/7904] lr: 1.5304e-05 eta: 1:06:34 time: 0.4734 data_time: 0.0023 memory: 11161 loss: 0.0934 loss_ctc: 0.0934 2023/01/06 13:24:03 - mmengine - INFO - Epoch(train) [19][7000/7904] lr: 1.5125e-05 eta: 1:05:50 time: 0.4900 data_time: 0.0023 memory: 11161 loss: 0.1101 loss_ctc: 0.1101 2023/01/06 13:24:52 - mmengine - INFO - Epoch(train) [19][7100/7904] lr: 1.4946e-05 eta: 1:05:05 time: 0.4581 data_time: 0.0024 memory: 11161 loss: 0.0972 loss_ctc: 0.0972 2023/01/06 13:25:39 - mmengine - INFO - Epoch(train) [19][7200/7904] lr: 1.4769e-05 eta: 1:04:20 time: 0.4802 data_time: 0.0024 memory: 11161 loss: 0.1008 loss_ctc: 0.1008 2023/01/06 13:26:27 - mmengine - INFO - Epoch(train) [19][7300/7904] lr: 1.4592e-05 eta: 1:03:36 time: 0.4646 data_time: 0.0030 memory: 11161 loss: 0.0916 loss_ctc: 0.0916 2023/01/06 13:27:14 - mmengine - INFO - Epoch(train) [19][7400/7904] lr: 1.4416e-05 eta: 1:02:51 time: 0.4586 data_time: 0.0025 memory: 11161 loss: 0.1004 loss_ctc: 0.1004 2023/01/06 13:28:03 - mmengine - INFO - Epoch(train) [19][7500/7904] lr: 1.4242e-05 eta: 1:02:06 time: 0.4965 data_time: 0.0023 memory: 11161 loss: 0.1011 loss_ctc: 0.1011 2023/01/06 13:28:50 - mmengine - INFO - Epoch(train) [19][7600/7904] lr: 1.4068e-05 eta: 1:01:22 time: 0.5090 data_time: 0.0024 memory: 11161 loss: 0.0985 loss_ctc: 0.0985 2023/01/06 13:29:38 - mmengine - INFO - Epoch(train) [19][7700/7904] lr: 1.3896e-05 eta: 1:00:37 time: 0.4836 data_time: 0.0023 memory: 11161 loss: 0.1042 loss_ctc: 0.1042 2023/01/06 13:29:50 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 13:30:25 - mmengine - INFO - Epoch(train) [19][7800/7904] lr: 1.3725e-05 eta: 0:59:52 time: 0.5492 data_time: 0.0024 memory: 11161 loss: 0.1122 loss_ctc: 0.1122 2023/01/06 13:31:07 - mmengine - INFO - Epoch(train) [19][7900/7904] lr: 1.3554e-05 eta: 0:59:07 time: 0.3153 data_time: 0.0022 memory: 11161 loss: 0.0914 loss_ctc: 0.0914 2023/01/06 13:31:08 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 13:31:08 - mmengine - INFO - Saving checkpoint at 19 epochs 2023/01/06 13:31:10 - mmengine - INFO - Epoch(val) [19][15/15] CUTE80/recog/word_acc: 0.1597 CUTE80/recog/word_acc_ignore_case: 0.8785 CUTE80/recog/word_acc_ignore_case_symbol: 0.8785 IIIT5K/recog/word_acc: 0.0650 IIIT5K/recog/word_acc_ignore_case: 0.8517 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8517 SVT/recog/word_acc: 0.9057 SVT/recog/word_acc_ignore_case: 0.9057 SVT/recog/word_acc_ignore_case_symbol: 0.9057 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8481 SVTP/recog/word_acc_ignore_case_symbol: 0.8481 IC13/recog/word_acc: 0.2867 IC13/recog/word_acc_ignore_case: 0.9438 IC13/recog/word_acc_ignore_case_symbol: 0.9438 IC15/recog/word_acc: 0.1156 IC15/recog/word_acc_ignore_case: 0.7390 IC15/recog/word_acc_ignore_case_symbol: 0.7468 CUTE80/recog/char_recall: 0.9454 CUTE80/recog/char_precision: 0.9431 IIIT5K/recog/char_recall: 0.9835 IIIT5K/recog/char_precision: 0.9093 SVT/recog/char_recall: 0.9787 SVT/recog/char_precision: 0.9669 SVTP/recog/char_recall: 0.9477 SVTP/recog/char_precision: 0.9522 IC13/recog/char_recall: 0.9894 IC13/recog/char_precision: 0.9744 IC15/recog/char_recall: 0.9355 IC15/recog/char_precision: 0.8847 2023/01/06 13:32:16 - mmengine - INFO - Epoch(train) [20][ 100/7904] lr: 1.3378e-05 eta: 0:58:21 time: 0.5302 data_time: 0.0024 memory: 11161 loss: 0.1077 loss_ctc: 0.1077 2023/01/06 13:33:05 - mmengine - INFO - Epoch(train) [20][ 200/7904] lr: 1.3210e-05 eta: 0:57:37 time: 0.4664 data_time: 0.0026 memory: 11161 loss: 0.1053 loss_ctc: 0.1053 2023/01/06 13:33:56 - mmengine - INFO - Epoch(train) [20][ 300/7904] lr: 1.3043e-05 eta: 0:56:52 time: 0.5188 data_time: 0.0023 memory: 11161 loss: 0.1117 loss_ctc: 0.1117 2023/01/06 13:34:44 - mmengine - INFO - Epoch(train) [20][ 400/7904] lr: 1.2876e-05 eta: 0:56:07 time: 0.4821 data_time: 0.0023 memory: 11161 loss: 0.1044 loss_ctc: 0.1044 2023/01/06 13:35:31 - mmengine - INFO - Epoch(train) [20][ 500/7904] lr: 1.2711e-05 eta: 0:55:23 time: 0.4553 data_time: 0.0027 memory: 11161 loss: 0.0868 loss_ctc: 0.0868 2023/01/06 13:36:18 - mmengine - INFO - Epoch(train) [20][ 600/7904] lr: 1.2547e-05 eta: 0:54:38 time: 0.5226 data_time: 0.0024 memory: 11161 loss: 0.1001 loss_ctc: 0.1001 2023/01/06 13:37:05 - mmengine - INFO - Epoch(train) [20][ 700/7904] lr: 1.2384e-05 eta: 0:53:53 time: 0.4410 data_time: 0.0025 memory: 11161 loss: 0.1014 loss_ctc: 0.1014 2023/01/06 13:37:54 - mmengine - INFO - Epoch(train) [20][ 800/7904] lr: 1.2222e-05 eta: 0:53:08 time: 0.4915 data_time: 0.0024 memory: 11161 loss: 0.0993 loss_ctc: 0.0993 2023/01/06 13:38:06 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 13:38:42 - mmengine - INFO - Epoch(train) [20][ 900/7904] lr: 1.2061e-05 eta: 0:52:24 time: 0.4623 data_time: 0.0027 memory: 11161 loss: 0.0901 loss_ctc: 0.0901 2023/01/06 13:39:29 - mmengine - INFO - Epoch(train) [20][1000/7904] lr: 1.1901e-05 eta: 0:51:39 time: 0.4245 data_time: 0.0032 memory: 11161 loss: 0.0892 loss_ctc: 0.0892 2023/01/06 13:40:16 - mmengine - INFO - Epoch(train) [20][1100/7904] lr: 1.1742e-05 eta: 0:50:54 time: 0.4694 data_time: 0.0024 memory: 11161 loss: 0.0994 loss_ctc: 0.0994 2023/01/06 13:41:05 - mmengine - INFO - Epoch(train) [20][1200/7904] lr: 1.1584e-05 eta: 0:50:09 time: 0.4590 data_time: 0.0023 memory: 11161 loss: 0.0903 loss_ctc: 0.0903 2023/01/06 13:41:54 - mmengine - INFO - Epoch(train) [20][1300/7904] lr: 1.1427e-05 eta: 0:49:25 time: 0.5167 data_time: 0.0024 memory: 11161 loss: 0.1022 loss_ctc: 0.1022 2023/01/06 13:42:40 - mmengine - INFO - Epoch(train) [20][1400/7904] lr: 1.1272e-05 eta: 0:48:40 time: 0.4145 data_time: 0.0025 memory: 11161 loss: 0.0934 loss_ctc: 0.0934 2023/01/06 13:43:27 - mmengine - INFO - Epoch(train) [20][1500/7904] lr: 1.1117e-05 eta: 0:47:55 time: 0.4604 data_time: 0.0026 memory: 11161 loss: 0.0896 loss_ctc: 0.0896 2023/01/06 13:44:14 - mmengine - INFO - Epoch(train) [20][1600/7904] lr: 1.0963e-05 eta: 0:47:10 time: 0.4732 data_time: 0.0024 memory: 11161 loss: 0.1051 loss_ctc: 0.1051 2023/01/06 13:45:02 - mmengine - INFO - Epoch(train) [20][1700/7904] lr: 1.0811e-05 eta: 0:46:25 time: 0.4496 data_time: 0.0024 memory: 11161 loss: 0.0983 loss_ctc: 0.0983 2023/01/06 13:45:51 - mmengine - INFO - Epoch(train) [20][1800/7904] lr: 1.0659e-05 eta: 0:45:41 time: 0.5065 data_time: 0.0025 memory: 11161 loss: 0.0960 loss_ctc: 0.0960 2023/01/06 13:46:03 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 13:46:39 - mmengine - INFO - Epoch(train) [20][1900/7904] lr: 1.0508e-05 eta: 0:44:56 time: 0.4481 data_time: 0.0024 memory: 11161 loss: 0.1012 loss_ctc: 0.1012 2023/01/06 13:47:29 - mmengine - INFO - Epoch(train) [20][2000/7904] lr: 1.0359e-05 eta: 0:44:11 time: 0.4718 data_time: 0.0047 memory: 11161 loss: 0.1012 loss_ctc: 0.1012 2023/01/06 13:48:18 - mmengine - INFO - Epoch(train) [20][2100/7904] lr: 1.0210e-05 eta: 0:43:26 time: 0.5001 data_time: 0.0026 memory: 11161 loss: 0.0915 loss_ctc: 0.0915 2023/01/06 13:49:08 - mmengine - INFO - Epoch(train) [20][2200/7904] lr: 1.0063e-05 eta: 0:42:42 time: 0.4400 data_time: 0.0025 memory: 11161 loss: 0.0813 loss_ctc: 0.0813 2023/01/06 13:49:56 - mmengine - INFO - Epoch(train) [20][2300/7904] lr: 9.9166e-06 eta: 0:41:57 time: 0.4553 data_time: 0.0023 memory: 11161 loss: 0.0920 loss_ctc: 0.0920 2023/01/06 13:50:45 - mmengine - INFO - Epoch(train) [20][2400/7904] lr: 9.7713e-06 eta: 0:41:12 time: 0.4407 data_time: 0.0024 memory: 11161 loss: 0.0968 loss_ctc: 0.0968 2023/01/06 13:51:33 - mmengine - INFO - Epoch(train) [20][2500/7904] lr: 9.6270e-06 eta: 0:40:27 time: 0.4570 data_time: 0.0024 memory: 11161 loss: 0.1050 loss_ctc: 0.1050 2023/01/06 13:52:22 - mmengine - INFO - Epoch(train) [20][2600/7904] lr: 9.4838e-06 eta: 0:39:42 time: 0.4799 data_time: 0.0025 memory: 11161 loss: 0.0819 loss_ctc: 0.0819 2023/01/06 13:53:10 - mmengine - INFO - Epoch(train) [20][2700/7904] lr: 9.3417e-06 eta: 0:38:58 time: 0.4431 data_time: 0.0026 memory: 11161 loss: 0.1082 loss_ctc: 0.1082 2023/01/06 13:54:00 - mmengine - INFO - Epoch(train) [20][2800/7904] lr: 9.2006e-06 eta: 0:38:13 time: 0.4552 data_time: 0.0024 memory: 11161 loss: 0.0925 loss_ctc: 0.0925 2023/01/06 13:54:11 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 13:54:47 - mmengine - INFO - Epoch(train) [20][2900/7904] lr: 9.0605e-06 eta: 0:37:28 time: 0.4853 data_time: 0.0025 memory: 11161 loss: 0.0993 loss_ctc: 0.0993 2023/01/06 13:55:36 - mmengine - INFO - Epoch(train) [20][3000/7904] lr: 8.9215e-06 eta: 0:36:43 time: 0.5102 data_time: 0.0024 memory: 11161 loss: 0.0925 loss_ctc: 0.0925 2023/01/06 13:56:24 - mmengine - INFO - Epoch(train) [20][3100/7904] lr: 8.7836e-06 eta: 0:35:58 time: 0.4168 data_time: 0.0022 memory: 11161 loss: 0.0984 loss_ctc: 0.0984 2023/01/06 13:57:13 - mmengine - INFO - Epoch(train) [20][3200/7904] lr: 8.6467e-06 eta: 0:35:14 time: 0.4376 data_time: 0.0024 memory: 11161 loss: 0.1002 loss_ctc: 0.1002 2023/01/06 13:58:01 - mmengine - INFO - Epoch(train) [20][3300/7904] lr: 8.5109e-06 eta: 0:34:29 time: 0.4446 data_time: 0.0024 memory: 11161 loss: 0.1015 loss_ctc: 0.1015 2023/01/06 13:58:49 - mmengine - INFO - Epoch(train) [20][3400/7904] lr: 8.3761e-06 eta: 0:33:44 time: 0.5102 data_time: 0.0026 memory: 11161 loss: 0.0967 loss_ctc: 0.0967 2023/01/06 13:59:37 - mmengine - INFO - Epoch(train) [20][3500/7904] lr: 8.2424e-06 eta: 0:32:59 time: 0.5040 data_time: 0.0024 memory: 11161 loss: 0.0890 loss_ctc: 0.0890 2023/01/06 14:00:25 - mmengine - INFO - Epoch(train) [20][3600/7904] lr: 8.1097e-06 eta: 0:32:14 time: 0.4677 data_time: 0.0033 memory: 11161 loss: 0.0958 loss_ctc: 0.0958 2023/01/06 14:01:16 - mmengine - INFO - Epoch(train) [20][3700/7904] lr: 7.9781e-06 eta: 0:31:29 time: 0.4782 data_time: 0.0025 memory: 11161 loss: 0.0958 loss_ctc: 0.0958 2023/01/06 14:02:04 - mmengine - INFO - Epoch(train) [20][3800/7904] lr: 7.8476e-06 eta: 0:30:44 time: 0.4876 data_time: 0.0026 memory: 11161 loss: 0.1049 loss_ctc: 0.1049 2023/01/06 14:02:16 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 14:02:52 - mmengine - INFO - Epoch(train) [20][3900/7904] lr: 7.7181e-06 eta: 0:30:00 time: 0.4595 data_time: 0.0027 memory: 11161 loss: 0.1033 loss_ctc: 0.1033 2023/01/06 14:03:41 - mmengine - INFO - Epoch(train) [20][4000/7904] lr: 7.5897e-06 eta: 0:29:15 time: 0.4930 data_time: 0.0025 memory: 11161 loss: 0.0950 loss_ctc: 0.0950 2023/01/06 14:04:30 - mmengine - INFO - Epoch(train) [20][4100/7904] lr: 7.4624e-06 eta: 0:28:30 time: 0.5179 data_time: 0.0024 memory: 11161 loss: 0.0958 loss_ctc: 0.0958 2023/01/06 14:05:19 - mmengine - INFO - Epoch(train) [20][4200/7904] lr: 7.3361e-06 eta: 0:27:45 time: 0.4798 data_time: 0.0025 memory: 11161 loss: 0.0911 loss_ctc: 0.0911 2023/01/06 14:06:07 - mmengine - INFO - Epoch(train) [20][4300/7904] lr: 7.2108e-06 eta: 0:27:00 time: 0.4841 data_time: 0.0027 memory: 11161 loss: 0.0982 loss_ctc: 0.0982 2023/01/06 14:06:55 - mmengine - INFO - Epoch(train) [20][4400/7904] lr: 7.0867e-06 eta: 0:26:15 time: 0.4338 data_time: 0.0023 memory: 11161 loss: 0.0890 loss_ctc: 0.0890 2023/01/06 14:07:40 - mmengine - INFO - Epoch(train) [20][4500/7904] lr: 6.9635e-06 eta: 0:25:30 time: 0.4432 data_time: 0.0023 memory: 11161 loss: 0.1015 loss_ctc: 0.1015 2023/01/06 14:08:26 - mmengine - INFO - Epoch(train) [20][4600/7904] lr: 6.8415e-06 eta: 0:24:45 time: 0.4628 data_time: 0.0022 memory: 11161 loss: 0.0860 loss_ctc: 0.0860 2023/01/06 14:09:13 - mmengine - INFO - Epoch(train) [20][4700/7904] lr: 6.7205e-06 eta: 0:24:00 time: 0.4885 data_time: 0.0023 memory: 11161 loss: 0.1010 loss_ctc: 0.1010 2023/01/06 14:10:02 - mmengine - INFO - Epoch(train) [20][4800/7904] lr: 6.6006e-06 eta: 0:23:15 time: 0.5068 data_time: 0.0023 memory: 11161 loss: 0.0935 loss_ctc: 0.0935 2023/01/06 14:10:13 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 14:10:49 - mmengine - INFO - Epoch(train) [20][4900/7904] lr: 6.4818e-06 eta: 0:22:31 time: 0.5073 data_time: 0.0024 memory: 11161 loss: 0.1051 loss_ctc: 0.1051 2023/01/06 14:11:38 - mmengine - INFO - Epoch(train) [20][5000/7904] lr: 6.3640e-06 eta: 0:21:46 time: 0.4761 data_time: 0.0023 memory: 11161 loss: 0.0992 loss_ctc: 0.0992 2023/01/06 14:12:26 - mmengine - INFO - Epoch(train) [20][5100/7904] lr: 6.2473e-06 eta: 0:21:01 time: 0.5458 data_time: 0.0024 memory: 11161 loss: 0.0955 loss_ctc: 0.0955 2023/01/06 14:13:14 - mmengine - INFO - Epoch(train) [20][5200/7904] lr: 6.1316e-06 eta: 0:20:16 time: 0.4996 data_time: 0.0029 memory: 11161 loss: 0.1058 loss_ctc: 0.1058 2023/01/06 14:14:01 - mmengine - INFO - Epoch(train) [20][5300/7904] lr: 6.0170e-06 eta: 0:19:31 time: 0.4551 data_time: 0.0022 memory: 11161 loss: 0.1024 loss_ctc: 0.1024 2023/01/06 14:14:48 - mmengine - INFO - Epoch(train) [20][5400/7904] lr: 5.9035e-06 eta: 0:18:46 time: 0.4889 data_time: 0.0023 memory: 11161 loss: 0.1114 loss_ctc: 0.1114 2023/01/06 14:15:38 - mmengine - INFO - Epoch(train) [20][5500/7904] lr: 5.7911e-06 eta: 0:18:01 time: 0.4859 data_time: 0.0023 memory: 11161 loss: 0.1010 loss_ctc: 0.1010 2023/01/06 14:16:25 - mmengine - INFO - Epoch(train) [20][5600/7904] lr: 5.6797e-06 eta: 0:17:16 time: 0.4969 data_time: 0.0024 memory: 11161 loss: 0.0870 loss_ctc: 0.0870 2023/01/06 14:17:15 - mmengine - INFO - Epoch(train) [20][5700/7904] lr: 5.5694e-06 eta: 0:16:31 time: 0.4914 data_time: 0.0023 memory: 11161 loss: 0.0812 loss_ctc: 0.0812 2023/01/06 14:18:04 - mmengine - INFO - Epoch(train) [20][5800/7904] lr: 5.4601e-06 eta: 0:15:46 time: 0.4937 data_time: 0.0023 memory: 11161 loss: 0.1082 loss_ctc: 0.1082 2023/01/06 14:18:15 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 14:18:52 - mmengine - INFO - Epoch(train) [20][5900/7904] lr: 5.3520e-06 eta: 0:15:01 time: 0.4575 data_time: 0.0024 memory: 11161 loss: 0.0901 loss_ctc: 0.0901 2023/01/06 14:19:40 - mmengine - INFO - Epoch(train) [20][6000/7904] lr: 5.2449e-06 eta: 0:14:16 time: 0.4919 data_time: 0.0023 memory: 11161 loss: 0.0892 loss_ctc: 0.0892 2023/01/06 14:20:30 - mmengine - INFO - Epoch(train) [20][6100/7904] lr: 5.1388e-06 eta: 0:13:31 time: 0.4955 data_time: 0.0026 memory: 11161 loss: 0.1042 loss_ctc: 0.1042 2023/01/06 14:21:20 - mmengine - INFO - Epoch(train) [20][6200/7904] lr: 5.0339e-06 eta: 0:12:46 time: 0.5292 data_time: 0.0023 memory: 11161 loss: 0.0997 loss_ctc: 0.0997 2023/01/06 14:22:12 - mmengine - INFO - Epoch(train) [20][6300/7904] lr: 4.9300e-06 eta: 0:12:01 time: 0.5509 data_time: 0.0023 memory: 11161 loss: 0.0984 loss_ctc: 0.0984 2023/01/06 14:23:03 - mmengine - INFO - Epoch(train) [20][6400/7904] lr: 4.8272e-06 eta: 0:11:16 time: 0.5768 data_time: 0.0030 memory: 11161 loss: 0.0968 loss_ctc: 0.0968 2023/01/06 14:23:53 - mmengine - INFO - Epoch(train) [20][6500/7904] lr: 4.7254e-06 eta: 0:10:32 time: 0.5272 data_time: 0.0024 memory: 11161 loss: 0.0963 loss_ctc: 0.0963 2023/01/06 14:24:42 - mmengine - INFO - Epoch(train) [20][6600/7904] lr: 4.6248e-06 eta: 0:09:47 time: 0.4718 data_time: 0.0024 memory: 11161 loss: 0.1101 loss_ctc: 0.1101 2023/01/06 14:25:33 - mmengine - INFO - Epoch(train) [20][6700/7904] lr: 4.5252e-06 eta: 0:09:02 time: 0.5087 data_time: 0.0023 memory: 11161 loss: 0.0885 loss_ctc: 0.0885 2023/01/06 14:26:24 - mmengine - INFO - Epoch(train) [20][6800/7904] lr: 4.4267e-06 eta: 0:08:17 time: 0.5128 data_time: 0.0023 memory: 11161 loss: 0.0959 loss_ctc: 0.0959 2023/01/06 14:26:36 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 14:27:16 - mmengine - INFO - Epoch(train) [20][6900/7904] lr: 4.3292e-06 eta: 0:07:32 time: 0.5159 data_time: 0.0024 memory: 11161 loss: 0.0977 loss_ctc: 0.0977 2023/01/06 14:28:07 - mmengine - INFO - Epoch(train) [20][7000/7904] lr: 4.2328e-06 eta: 0:06:47 time: 0.5601 data_time: 0.0027 memory: 11161 loss: 0.0924 loss_ctc: 0.0924 2023/01/06 14:28:57 - mmengine - INFO - Epoch(train) [20][7100/7904] lr: 4.1376e-06 eta: 0:06:02 time: 0.5647 data_time: 0.0024 memory: 11161 loss: 0.0954 loss_ctc: 0.0954 2023/01/06 14:29:48 - mmengine - INFO - Epoch(train) [20][7200/7904] lr: 4.0433e-06 eta: 0:05:17 time: 0.5276 data_time: 0.0022 memory: 11161 loss: 0.0932 loss_ctc: 0.0932 2023/01/06 14:30:38 - mmengine - INFO - Epoch(train) [20][7300/7904] lr: 3.9502e-06 eta: 0:04:32 time: 0.4955 data_time: 0.0022 memory: 11161 loss: 0.0934 loss_ctc: 0.0934 2023/01/06 14:31:28 - mmengine - INFO - Epoch(train) [20][7400/7904] lr: 3.8581e-06 eta: 0:03:47 time: 0.4717 data_time: 0.0024 memory: 11161 loss: 0.1038 loss_ctc: 0.1038 2023/01/06 14:32:20 - mmengine - INFO - Epoch(train) [20][7500/7904] lr: 3.7671e-06 eta: 0:03:02 time: 0.4991 data_time: 0.0023 memory: 11161 loss: 0.0976 loss_ctc: 0.0976 2023/01/06 14:33:10 - mmengine - INFO - Epoch(train) [20][7600/7904] lr: 3.6772e-06 eta: 0:02:16 time: 0.5080 data_time: 0.0022 memory: 11161 loss: 0.0921 loss_ctc: 0.0921 2023/01/06 14:33:59 - mmengine - INFO - Epoch(train) [20][7700/7904] lr: 3.5884e-06 eta: 0:01:31 time: 0.4707 data_time: 0.0023 memory: 11161 loss: 0.0982 loss_ctc: 0.0982 2023/01/06 14:34:48 - mmengine - INFO - Epoch(train) [20][7800/7904] lr: 3.5007e-06 eta: 0:00:46 time: 0.4955 data_time: 0.0025 memory: 11161 loss: 0.1030 loss_ctc: 0.1030 2023/01/06 14:35:01 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 14:35:32 - mmengine - INFO - Epoch(train) [20][7900/7904] lr: 3.4140e-06 eta: 0:00:01 time: 0.3135 data_time: 0.0023 memory: 11161 loss: 0.1008 loss_ctc: 0.1008 2023/01/06 14:35:33 - mmengine - INFO - Exp name: svtr-small_20e_st_mj_20230105_184454 2023/01/06 14:35:33 - mmengine - INFO - Saving checkpoint at 20 epochs 2023/01/06 14:35:35 - mmengine - INFO - Epoch(val) [20][15/15] CUTE80/recog/word_acc: 0.1632 CUTE80/recog/word_acc_ignore_case: 0.8854 CUTE80/recog/word_acc_ignore_case_symbol: 0.8854 IIIT5K/recog/word_acc: 0.0647 IIIT5K/recog/word_acc_ignore_case: 0.8553 IIIT5K/recog/word_acc_ignore_case_symbol: 0.8553 SVT/recog/word_acc: 0.9026 SVT/recog/word_acc_ignore_case: 0.9026 SVT/recog/word_acc_ignore_case_symbol: 0.9026 SVTP/recog/word_acc: 0.0000 SVTP/recog/word_acc_ignore_case: 0.8496 SVTP/recog/word_acc_ignore_case_symbol: 0.8496 IC13/recog/word_acc: 0.2877 IC13/recog/word_acc_ignore_case: 0.9448 IC13/recog/word_acc_ignore_case_symbol: 0.9448 IC15/recog/word_acc: 0.1165 IC15/recog/word_acc_ignore_case: 0.7419 IC15/recog/word_acc_ignore_case_symbol: 0.7492 CUTE80/recog/char_recall: 0.9479 CUTE80/recog/char_precision: 0.9497 IIIT5K/recog/char_recall: 0.9839 IIIT5K/recog/char_precision: 0.9113 SVT/recog/char_recall: 0.9789 SVT/recog/char_precision: 0.9677 SVTP/recog/char_recall: 0.9475 SVTP/recog/char_precision: 0.9540 IC13/recog/char_recall: 0.9896 IC13/recog/char_precision: 0.9757 IC15/recog/char_recall: 0.9350 IC15/recog/char_precision: 0.8883