diff --git "a/coco_maskrcnn_vmamba_small_ms_3x_e34_497_440.log" "b/coco_maskrcnn_vmamba_small_ms_3x_e34_497_440.log" new file mode 100644--- /dev/null +++ "b/coco_maskrcnn_vmamba_small_ms_3x_e34_497_440.log" @@ -0,0 +1,8492 @@ +2024/01/15 15:30:21 - mmengine - INFO - +------------------------------------------------------------ +System environment: + sys.platform: linux + Python: 3.10.13 (main, Sep 11 2023, 13:44:35) [GCC 11.2.0] + CUDA available: True + numpy_random_seed: 582150550 + GPU 0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15: Tesla V100-SXM3-32GB + CUDA_HOME: /usr/local/cuda + NVCC: Cuda compilation tools, release 11.7, V11.7.99 + GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.1) 9.4.0 + PyTorch: 1.13.0 + PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 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 11.7 + - 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 8.5 + - Magma 2.6.1 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.7, CUDNN_VERSION=8.5.0, 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 -Werror=non-virtual-dtor -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wunused-local-typedefs -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -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=1.13.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + + TorchVision: 0.14.0 + OpenCV: 4.9.0 + MMEngine: 0.10.1 + +Runtime environment: + cudnn_benchmark: False + mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} + dist_cfg: {'backend': 'nccl'} + seed: 582150550 + Distributed launcher: pytorch + Distributed training: True + GPU number: 16 +------------------------------------------------------------ + +2024/01/15 15:30:22 - mmengine - INFO - Config: +auto_scale_lr = dict(base_batch_size=16, enable=False) +backend_args = None +data_root = 'data/coco/' +dataset_type = 'CocoDataset' +default_hooks = dict( + checkpoint=dict(interval=1, type='CheckpointHook'), + logger=dict(interval=50, type='LoggerHook'), + param_scheduler=dict(type='ParamSchedulerHook'), + sampler_seed=dict(type='DistSamplerSeedHook'), + timer=dict(type='IterTimerHook'), + visualization=dict(type='DetVisualizationHook')) +default_scope = 'mmdet' +env_cfg = dict( + cudnn_benchmark=False, + dist_cfg=dict(backend='nccl'), + mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0)) +launcher = 'pytorch' +load_from = None +log_level = 'INFO' +log_processor = dict(by_epoch=True, type='LogProcessor', window_size=50) +max_epochs = 36 +model = dict( + backbone=dict( + attn_drop_rate=0.0, + convert_weights=True, + depths=( + 2, + 2, + 27, + 2, + ), + dims=96, + drop_path_rate=0.2, + drop_rate=0.0, + embed_dims=96, + init_cfg=dict( + checkpoint= + 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_tiny_patch4_window7_224.pth', + type='Pretrained'), + mlp_ratio=4, + num_heads=[ + 3, + 6, + 12, + 24, + ], + out_indices=( + 0, + 1, + 2, + 3, + ), + patch_norm=True, + pretrained='../../ckpts/vssmsmall/ckpt_epoch_238.pth', + qk_scale=None, + qkv_bias=True, + type='MMDET_VSSM', + window_size=7, + with_cp=False), + data_preprocessor=dict( + bgr_to_rgb=True, + mean=[ + 123.675, + 116.28, + 103.53, + ], + pad_mask=True, + pad_size_divisor=32, + std=[ + 58.395, + 57.12, + 57.375, + ], + type='DetDataPreprocessor'), + neck=dict( + in_channels=[ + 96, + 192, + 384, + 768, + ], + num_outs=5, + out_channels=256, + type='FPN'), + roi_head=dict( + bbox_head=dict( + bbox_coder=dict( + target_means=[ + 0.0, + 0.0, + 0.0, + 0.0, + ], + target_stds=[ + 0.1, + 0.1, + 0.2, + 0.2, + ], + type='DeltaXYWHBBoxCoder'), + fc_out_channels=1024, + in_channels=256, + loss_bbox=dict(loss_weight=1.0, type='L1Loss'), + loss_cls=dict( + loss_weight=1.0, type='CrossEntropyLoss', use_sigmoid=False), + num_classes=80, + reg_class_agnostic=False, + roi_feat_size=7, + type='Shared2FCBBoxHead'), + bbox_roi_extractor=dict( + featmap_strides=[ + 4, + 8, + 16, + 32, + ], + out_channels=256, + roi_layer=dict(output_size=7, sampling_ratio=0, type='RoIAlign'), + type='SingleRoIExtractor'), + mask_head=dict( + conv_out_channels=256, + in_channels=256, + loss_mask=dict( + loss_weight=1.0, type='CrossEntropyLoss', use_mask=True), + num_classes=80, + num_convs=4, + type='FCNMaskHead'), + mask_roi_extractor=dict( + featmap_strides=[ + 4, + 8, + 16, + 32, + ], + out_channels=256, + roi_layer=dict(output_size=14, sampling_ratio=0, type='RoIAlign'), + type='SingleRoIExtractor'), + type='StandardRoIHead'), + rpn_head=dict( + anchor_generator=dict( + ratios=[ + 0.5, + 1.0, + 2.0, + ], + scales=[ + 8, + ], + strides=[ + 4, + 8, + 16, + 32, + 64, + ], + type='AnchorGenerator'), + bbox_coder=dict( + target_means=[ + 0.0, + 0.0, + 0.0, + 0.0, + ], + target_stds=[ + 1.0, + 1.0, + 1.0, + 1.0, + ], + type='DeltaXYWHBBoxCoder'), + feat_channels=256, + in_channels=256, + loss_bbox=dict(loss_weight=1.0, type='L1Loss'), + loss_cls=dict( + loss_weight=1.0, type='CrossEntropyLoss', use_sigmoid=True), + type='RPNHead'), + test_cfg=dict( + rcnn=dict( + mask_thr_binary=0.5, + max_per_img=100, + nms=dict(iou_threshold=0.5, type='nms'), + score_thr=0.05), + rpn=dict( + max_per_img=1000, + min_bbox_size=0, + nms=dict(iou_threshold=0.7, type='nms'), + nms_pre=1000)), + train_cfg=dict( + rcnn=dict( + assigner=dict( + ignore_iof_thr=-1, + match_low_quality=True, + min_pos_iou=0.5, + neg_iou_thr=0.5, + pos_iou_thr=0.5, + type='MaxIoUAssigner'), + debug=False, + mask_size=28, + pos_weight=-1, + sampler=dict( + add_gt_as_proposals=True, + neg_pos_ub=-1, + num=512, + pos_fraction=0.25, + type='RandomSampler')), + rpn=dict( + allowed_border=-1, + assigner=dict( + ignore_iof_thr=-1, + match_low_quality=True, + min_pos_iou=0.3, + neg_iou_thr=0.3, + pos_iou_thr=0.7, + type='MaxIoUAssigner'), + debug=False, + pos_weight=-1, + sampler=dict( + add_gt_as_proposals=False, + neg_pos_ub=-1, + num=256, + pos_fraction=0.5, + type='RandomSampler')), + rpn_proposal=dict( + max_per_img=1000, + min_bbox_size=0, + nms=dict(iou_threshold=0.7, type='nms'), + nms_pre=2000)), + type='MaskRCNN') +optim_wrapper = dict( + optimizer=dict( + betas=( + 0.9, + 0.999, + ), lr=0.0001, type='AdamW', weight_decay=0.05), + paramwise_cfg=dict( + custom_keys=dict( + absolute_pos_embed=dict(decay_mult=0.0), + norm=dict(decay_mult=0.0), + relative_position_bias_table=dict(decay_mult=0.0))), + type='OptimWrapper') +param_scheduler = [ + dict( + begin=0, by_epoch=False, end=1000, start_factor=0.001, + type='LinearLR'), + dict( + begin=0, + by_epoch=True, + end=36, + gamma=0.1, + milestones=[ + 27, + 33, + ], + type='MultiStepLR'), +] +pretrained = 'https://github.com/SwinTransformer/storage/releases/download/v1.0.0/swin_tiny_patch4_window7_224.pth' +resume = False +test_cfg = dict(type='TestLoop') +test_dataloader = dict( + batch_size=1, + dataset=dict( + ann_file='annotations/instances_val2017.json', + backend_args=None, + data_prefix=dict(img='val2017/'), + data_root='data/coco/', + pipeline=[ + dict(backend_args=None, type='LoadImageFromFile'), + dict(keep_ratio=True, scale=( + 1333, + 800, + ), type='Resize'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=True), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + ), + type='PackDetInputs'), + ], + test_mode=True, + type='CocoDataset'), + drop_last=False, + num_workers=2, + persistent_workers=True, + sampler=dict(shuffle=False, type='DefaultSampler')) +test_evaluator = dict( + ann_file='data/coco/annotations/instances_val2017.json', + backend_args=None, + format_only=False, + metric=[ + 'bbox', + 'segm', + ], + type='CocoMetric') +test_pipeline = [ + dict(backend_args=None, type='LoadImageFromFile'), + dict(keep_ratio=True, scale=( + 1333, + 800, + ), type='Resize'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=True), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + ), + type='PackDetInputs'), +] +train_cfg = dict(max_epochs=36, type='EpochBasedTrainLoop', val_interval=1) +train_dataloader = dict( + batch_sampler=dict(type='AspectRatioBatchSampler'), + batch_size=1, + dataset=dict( + ann_file='annotations/instances_train2017.json', + backend_args=None, + data_prefix=dict(img='train2017/'), + data_root='data/coco/', + filter_cfg=dict(filter_empty_gt=True, min_size=32), + pipeline=[ + dict(backend_args=None, type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=True), + dict(prob=0.5, type='RandomFlip'), + dict( + transforms=[ + [ + dict( + keep_ratio=True, + scales=[ + ( + 480, + 1333, + ), + ( + 512, + 1333, + ), + ( + 544, + 1333, + ), + ( + 576, + 1333, + ), + ( + 608, + 1333, + ), + ( + 640, + 1333, + ), + ( + 672, + 1333, + ), + ( + 704, + 1333, + ), + ( + 736, + 1333, + ), + ( + 768, + 1333, + ), + ( + 800, + 1333, + ), + ], + type='RandomChoiceResize'), + ], + [ + dict( + keep_ratio=True, + scales=[ + ( + 400, + 1333, + ), + ( + 500, + 1333, + ), + ( + 600, + 1333, + ), + ], + type='RandomChoiceResize'), + dict( + allow_negative_crop=True, + crop_size=( + 384, + 600, + ), + crop_type='absolute_range', + type='RandomCrop'), + dict( + keep_ratio=True, + scales=[ + ( + 480, + 1333, + ), + ( + 512, + 1333, + ), + ( + 544, + 1333, + ), + ( + 576, + 1333, + ), + ( + 608, + 1333, + ), + ( + 640, + 1333, + ), + ( + 672, + 1333, + ), + ( + 704, + 1333, + ), + ( + 736, + 1333, + ), + ( + 768, + 1333, + ), + ( + 800, + 1333, + ), + ], + type='RandomChoiceResize'), + ], + ], + type='RandomChoice'), + dict(type='PackDetInputs'), + ], + type='CocoDataset'), + num_workers=2, + persistent_workers=True, + sampler=dict(shuffle=True, type='DefaultSampler')) +train_pipeline = [ + dict(backend_args=None, type='LoadImageFromFile'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=True), + dict(prob=0.5, type='RandomFlip'), + dict( + transforms=[ + [ + dict( + keep_ratio=True, + scales=[ + ( + 480, + 1333, + ), + ( + 512, + 1333, + ), + ( + 544, + 1333, + ), + ( + 576, + 1333, + ), + ( + 608, + 1333, + ), + ( + 640, + 1333, + ), + ( + 672, + 1333, + ), + ( + 704, + 1333, + ), + ( + 736, + 1333, + ), + ( + 768, + 1333, + ), + ( + 800, + 1333, + ), + ], + type='RandomChoiceResize'), + ], + [ + dict( + keep_ratio=True, + scales=[ + ( + 400, + 1333, + ), + ( + 500, + 1333, + ), + ( + 600, + 1333, + ), + ], + type='RandomChoiceResize'), + dict( + allow_negative_crop=True, + crop_size=( + 384, + 600, + ), + crop_type='absolute_range', + type='RandomCrop'), + dict( + keep_ratio=True, + scales=[ + ( + 480, + 1333, + ), + ( + 512, + 1333, + ), + ( + 544, + 1333, + ), + ( + 576, + 1333, + ), + ( + 608, + 1333, + ), + ( + 640, + 1333, + ), + ( + 672, + 1333, + ), + ( + 704, + 1333, + ), + ( + 736, + 1333, + ), + ( + 768, + 1333, + ), + ( + 800, + 1333, + ), + ], + type='RandomChoiceResize'), + ], + ], + type='RandomChoice'), + dict(type='PackDetInputs'), +] +val_cfg = dict(type='ValLoop') +val_dataloader = dict( + batch_size=1, + dataset=dict( + ann_file='annotations/instances_val2017.json', + backend_args=None, + data_prefix=dict(img='val2017/'), + data_root='data/coco/', + pipeline=[ + dict(backend_args=None, type='LoadImageFromFile'), + dict(keep_ratio=True, scale=( + 1333, + 800, + ), type='Resize'), + dict(type='LoadAnnotations', with_bbox=True, with_mask=True), + dict( + meta_keys=( + 'img_id', + 'img_path', + 'ori_shape', + 'img_shape', + 'scale_factor', + ), + type='PackDetInputs'), + ], + test_mode=True, + type='CocoDataset'), + drop_last=False, + num_workers=2, + persistent_workers=True, + sampler=dict(shuffle=False, type='DefaultSampler')) +val_evaluator = dict( + ann_file='data/coco/annotations/instances_val2017.json', + backend_args=None, + format_only=False, + metric=[ + 'bbox', + 'segm', + ], + type='CocoMetric') +vis_backends = [ + dict(type='LocalVisBackend'), +] +visualizer = dict( + name='visualizer', + type='DetLocalVisualizer', + vis_backends=[ + dict(type='LocalVisBackend'), + ]) +work_dir = './work_dirs/mask_rcnn_swin_fpn_coco_small_ms_3x' + +2024/01/15 15:30:36 - 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 +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +before_val: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +before_val_epoch: +(NORMAL ) IterTimerHook + -------------------- +before_val_iter: +(NORMAL ) IterTimerHook + -------------------- +after_val_iter: +(NORMAL ) IterTimerHook +(NORMAL ) DetVisualizationHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_val_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +after_val: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +after_train: +(VERY_HIGH ) RuntimeInfoHook +(VERY_LOW ) CheckpointHook + -------------------- +before_test: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +before_test_epoch: +(NORMAL ) IterTimerHook + -------------------- +before_test_iter: +(NORMAL ) IterTimerHook + -------------------- +after_test_iter: +(NORMAL ) IterTimerHook +(NORMAL ) DetVisualizationHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_test_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_test: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +after_run: +(BELOW_NORMAL) LoggerHook + -------------------- +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.patch_embed.norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.self_attention.out_norm.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.self_attention.out_norm.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.self_attention.out_norm.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.self_attention.out_norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.self_attention.out_norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.0.self_attention.out_norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.self_attention.out_norm.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.self_attention.out_norm.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.self_attention.out_norm.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.self_attention.out_norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.self_attention.out_norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.blocks.1.self_attention.out_norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.0.downsample.norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.self_attention.out_norm.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.self_attention.out_norm.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.self_attention.out_norm.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.self_attention.out_norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.self_attention.out_norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.0.self_attention.out_norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.self_attention.out_norm.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.self_attention.out_norm.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.self_attention.out_norm.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.self_attention.out_norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.self_attention.out_norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.blocks.1.self_attention.out_norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.downsample.norm.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.downsample.norm.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.downsample.norm.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.downsample.norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.downsample.norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.1.downsample.norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - 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backbone.layers.2.blocks.21.self_attention.out_norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.21.self_attention.out_norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.21.self_attention.out_norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.22.self_attention.out_norm.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.22.self_attention.out_norm.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.22.self_attention.out_norm.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.22.self_attention.out_norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.22.self_attention.out_norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.22.self_attention.out_norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.23.self_attention.out_norm.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.23.self_attention.out_norm.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.23.self_attention.out_norm.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.23.self_attention.out_norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.23.self_attention.out_norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.23.self_attention.out_norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.24.self_attention.out_norm.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.24.self_attention.out_norm.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.24.self_attention.out_norm.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.24.self_attention.out_norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.24.self_attention.out_norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.24.self_attention.out_norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.25.self_attention.out_norm.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.25.self_attention.out_norm.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.25.self_attention.out_norm.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.25.self_attention.out_norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.25.self_attention.out_norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.25.self_attention.out_norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.26.self_attention.out_norm.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.26.self_attention.out_norm.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.26.self_attention.out_norm.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.26.self_attention.out_norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.26.self_attention.out_norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.blocks.26.self_attention.out_norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.norm.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.norm.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.norm.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.2.downsample.norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.self_attention.out_norm.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.self_attention.out_norm.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.self_attention.out_norm.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.self_attention.out_norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.self_attention.out_norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.0.self_attention.out_norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.self_attention.out_norm.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.self_attention.out_norm.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.self_attention.out_norm.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.self_attention.out_norm.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.self_attention.out_norm.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.layers.3.blocks.1.self_attention.out_norm.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm0.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm0.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm0.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm0.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm0.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm0.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm1.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm1.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm1.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm1.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm1.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm1.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm2.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm2.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm2.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm2.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm2.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm2.bias:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm3.weight:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm3.weight:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm3.weight:decay_mult=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm3.bias:lr=0.0001 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm3.bias:weight_decay=0.0 +2024/01/15 15:31:10 - mmengine - INFO - paramwise_options -- backbone.outnorm3.bias:decay_mult=0.0 +Name of parameter - Initialization information + +backbone.patch_embed.proj.weight - torch.Size([96, 3, 4, 4]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.patch_embed.proj.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.patch_embed.norm.weight - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.patch_embed.norm.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.0.ln_1.weight - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.0.ln_1.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.0.self_attention.x_proj_weight - torch.Size([4, 38, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.0.self_attention.dt_projs_weight - torch.Size([4, 192, 6]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.0.self_attention.dt_projs_bias - torch.Size([4, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.0.self_attention.A_logs - torch.Size([768, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.0.self_attention.Ds - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.0.self_attention.in_proj.weight - torch.Size([384, 96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.0.self_attention.conv2d.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.0.self_attention.conv2d.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.0.self_attention.out_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.0.self_attention.out_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.0.self_attention.out_proj.weight - torch.Size([96, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.1.ln_1.weight - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.1.ln_1.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.1.self_attention.x_proj_weight - torch.Size([4, 38, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.1.self_attention.dt_projs_weight - torch.Size([4, 192, 6]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.1.self_attention.dt_projs_bias - torch.Size([4, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.1.self_attention.A_logs - torch.Size([768, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.1.self_attention.Ds - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.1.self_attention.in_proj.weight - torch.Size([384, 96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.1.self_attention.conv2d.weight - torch.Size([192, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.1.self_attention.conv2d.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.1.self_attention.out_norm.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.1.self_attention.out_norm.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.blocks.1.self_attention.out_proj.weight - torch.Size([96, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.downsample.reduction.weight - torch.Size([192, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.downsample.norm.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.0.downsample.norm.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.0.ln_1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.0.ln_1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.0.self_attention.x_proj_weight - torch.Size([4, 44, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.0.self_attention.dt_projs_weight - torch.Size([4, 384, 12]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.0.self_attention.dt_projs_bias - torch.Size([4, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.0.self_attention.A_logs - torch.Size([1536, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.0.self_attention.Ds - torch.Size([1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.0.self_attention.in_proj.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.0.self_attention.conv2d.weight - torch.Size([384, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.0.self_attention.conv2d.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.0.self_attention.out_norm.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.0.self_attention.out_norm.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.0.self_attention.out_proj.weight - torch.Size([192, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.1.ln_1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.1.ln_1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.1.self_attention.x_proj_weight - torch.Size([4, 44, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.1.self_attention.dt_projs_weight - torch.Size([4, 384, 12]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.1.self_attention.dt_projs_bias - torch.Size([4, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.1.self_attention.A_logs - torch.Size([1536, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.1.self_attention.Ds - torch.Size([1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.1.self_attention.in_proj.weight - torch.Size([768, 192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.1.self_attention.conv2d.weight - torch.Size([384, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.1.self_attention.conv2d.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.1.self_attention.out_norm.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.1.self_attention.out_norm.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.blocks.1.self_attention.out_proj.weight - torch.Size([192, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.downsample.reduction.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.downsample.norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.1.downsample.norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.0.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.0.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.0.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.0.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.0.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.0.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.0.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.0.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.0.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.0.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.0.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.0.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.0.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.1.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.1.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.1.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.1.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.1.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.1.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.1.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.1.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.1.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.1.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.1.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.1.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.1.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.2.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.2.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.2.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.2.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.2.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.2.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.2.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.2.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.2.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.2.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.2.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.2.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.2.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.3.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.3.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.3.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.3.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.3.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.3.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.3.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.3.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.3.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.3.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.3.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.3.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.3.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.4.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.4.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.4.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.4.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.4.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.4.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.4.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.4.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.4.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.4.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.4.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.4.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.4.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.5.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.5.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.5.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.5.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.5.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.5.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.5.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.5.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.5.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.5.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.5.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.5.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.5.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.6.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.6.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.6.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.6.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.6.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.6.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.6.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.6.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.6.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.6.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.6.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.6.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.6.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.7.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.7.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.7.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.7.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.7.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.7.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.7.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.7.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.7.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.7.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.7.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.7.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.7.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.8.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.8.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.8.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.8.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.8.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.8.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.8.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.8.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.8.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.8.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.8.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.8.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.8.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.9.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.9.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.9.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.9.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.9.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.9.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.9.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.9.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.9.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.9.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.9.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.9.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.9.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.10.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.10.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.10.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.10.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.10.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.10.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.10.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.10.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.10.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.10.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.10.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.10.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.10.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.11.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.11.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.11.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.11.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.11.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.11.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.11.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.11.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.11.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.11.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.11.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.11.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.11.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.12.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.12.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.12.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.12.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.12.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.12.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.12.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.12.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.12.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.12.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.12.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.12.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.12.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.13.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.13.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.13.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.13.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.13.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.13.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.13.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.13.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.13.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.13.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.13.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.13.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.13.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.14.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.14.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.14.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.14.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.14.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.14.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.14.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.14.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.14.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.14.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.14.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.14.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.14.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.15.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.15.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.15.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.15.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.15.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.15.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.15.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.15.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.15.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.15.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.15.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.15.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.15.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.16.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.16.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.16.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.16.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.16.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.16.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.16.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.16.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.16.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.16.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.16.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.16.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.16.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.17.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.17.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.17.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.17.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.17.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.17.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.17.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.17.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.17.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.17.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.17.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.17.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.17.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.18.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.18.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.18.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.18.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.18.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.18.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.18.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.18.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.18.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.18.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.18.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.18.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.18.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.19.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.19.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.19.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.19.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.19.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.19.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.19.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.19.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.19.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.19.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.19.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.19.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.19.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.20.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.20.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.20.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.20.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.20.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.20.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.20.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.20.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.20.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.20.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.20.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.20.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.20.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.21.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.21.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.21.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.21.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.21.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.21.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.21.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.21.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.21.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.21.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.21.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.21.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.21.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.22.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.22.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.22.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.22.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.22.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.22.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.22.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.22.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.22.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.22.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.22.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.22.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.22.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.23.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.23.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.23.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.23.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.23.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.23.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.23.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.23.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.23.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.23.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.23.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.23.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.23.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.24.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.24.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.24.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.24.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.24.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.24.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.24.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.24.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.24.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.24.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.24.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.24.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.24.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.25.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.25.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.25.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.25.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.25.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.25.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.25.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.25.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.25.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.25.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.25.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.25.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.25.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.26.ln_1.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.26.ln_1.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.26.self_attention.x_proj_weight - torch.Size([4, 56, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.26.self_attention.dt_projs_weight - torch.Size([4, 768, 24]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.26.self_attention.dt_projs_bias - torch.Size([4, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.26.self_attention.A_logs - torch.Size([3072, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.26.self_attention.Ds - torch.Size([3072]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.26.self_attention.in_proj.weight - torch.Size([1536, 384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.26.self_attention.conv2d.weight - torch.Size([768, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.26.self_attention.conv2d.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.26.self_attention.out_norm.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.26.self_attention.out_norm.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.blocks.26.self_attention.out_proj.weight - torch.Size([384, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.downsample.reduction.weight - torch.Size([768, 1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.downsample.norm.weight - torch.Size([1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.2.downsample.norm.bias - torch.Size([1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.0.ln_1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.0.ln_1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.0.self_attention.x_proj_weight - torch.Size([4, 80, 1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.0.self_attention.dt_projs_weight - torch.Size([4, 1536, 48]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.0.self_attention.dt_projs_bias - torch.Size([4, 1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.0.self_attention.A_logs - torch.Size([6144, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.0.self_attention.Ds - torch.Size([6144]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.0.self_attention.in_proj.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.0.self_attention.conv2d.weight - torch.Size([1536, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.0.self_attention.conv2d.bias - torch.Size([1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.0.self_attention.out_norm.weight - torch.Size([1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.0.self_attention.out_norm.bias - torch.Size([1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.0.self_attention.out_proj.weight - torch.Size([768, 1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.1.ln_1.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.1.ln_1.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.1.self_attention.x_proj_weight - torch.Size([4, 80, 1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.1.self_attention.dt_projs_weight - torch.Size([4, 1536, 48]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.1.self_attention.dt_projs_bias - torch.Size([4, 1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.1.self_attention.A_logs - torch.Size([6144, 16]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.1.self_attention.Ds - torch.Size([6144]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.1.self_attention.in_proj.weight - torch.Size([3072, 768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.1.self_attention.conv2d.weight - torch.Size([1536, 1, 3, 3]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.1.self_attention.conv2d.bias - torch.Size([1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.1.self_attention.out_norm.weight - torch.Size([1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.1.self_attention.out_norm.bias - torch.Size([1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.layers.3.blocks.1.self_attention.out_proj.weight - torch.Size([768, 1536]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.outnorm0.weight - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.outnorm0.bias - torch.Size([96]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.outnorm1.weight - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.outnorm1.bias - torch.Size([192]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.outnorm2.weight - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.outnorm2.bias - torch.Size([384]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.outnorm3.weight - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +backbone.outnorm3.bias - torch.Size([768]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.lateral_convs.0.conv.weight - torch.Size([256, 96, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.lateral_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.lateral_convs.1.conv.weight - torch.Size([256, 192, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.lateral_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.lateral_convs.2.conv.weight - torch.Size([256, 384, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.lateral_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.lateral_convs.3.conv.weight - torch.Size([256, 768, 1, 1]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.lateral_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.fpn_convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.fpn_convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.fpn_convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.fpn_convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.fpn_convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.fpn_convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +neck.fpn_convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +XavierInit: gain=1, distribution=uniform, bias=0 + +neck.fpn_convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +rpn_head.rpn_conv.weight - torch.Size([256, 256, 3, 3]): +NormalInit: mean=0, std=0.01, bias=0 + +rpn_head.rpn_conv.bias - torch.Size([256]): +NormalInit: mean=0, std=0.01, bias=0 + +rpn_head.rpn_cls.weight - torch.Size([3, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +rpn_head.rpn_cls.bias - torch.Size([3]): +NormalInit: mean=0, std=0.01, bias=0 + +rpn_head.rpn_reg.weight - torch.Size([12, 256, 1, 1]): +NormalInit: mean=0, std=0.01, bias=0 + +rpn_head.rpn_reg.bias - torch.Size([12]): +NormalInit: mean=0, std=0.01, bias=0 + +roi_head.bbox_head.fc_cls.weight - torch.Size([81, 1024]): +NormalInit: mean=0, std=0.01, bias=0 + +roi_head.bbox_head.fc_cls.bias - torch.Size([81]): +NormalInit: mean=0, std=0.01, bias=0 + +roi_head.bbox_head.fc_reg.weight - torch.Size([320, 1024]): +NormalInit: mean=0, std=0.001, bias=0 + +roi_head.bbox_head.fc_reg.bias - torch.Size([320]): +NormalInit: mean=0, std=0.001, bias=0 + +roi_head.bbox_head.shared_fcs.0.weight - torch.Size([1024, 12544]): +XavierInit: gain=1, distribution=uniform, bias=0 + +roi_head.bbox_head.shared_fcs.0.bias - torch.Size([1024]): +XavierInit: gain=1, distribution=uniform, bias=0 + +roi_head.bbox_head.shared_fcs.1.weight - torch.Size([1024, 1024]): +XavierInit: gain=1, distribution=uniform, bias=0 + +roi_head.bbox_head.shared_fcs.1.bias - torch.Size([1024]): +XavierInit: gain=1, distribution=uniform, bias=0 + +roi_head.mask_head.convs.0.conv.weight - torch.Size([256, 256, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +roi_head.mask_head.convs.0.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +roi_head.mask_head.convs.1.conv.weight - torch.Size([256, 256, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +roi_head.mask_head.convs.1.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +roi_head.mask_head.convs.2.conv.weight - torch.Size([256, 256, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +roi_head.mask_head.convs.2.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +roi_head.mask_head.convs.3.conv.weight - torch.Size([256, 256, 3, 3]): +Initialized by user-defined `init_weights` in ConvModule + +roi_head.mask_head.convs.3.conv.bias - torch.Size([256]): +The value is the same before and after calling `init_weights` of MaskRCNN + +roi_head.mask_head.upsample.weight - torch.Size([256, 256, 2, 2]): +Initialized by user-defined `init_weights` in FCNMaskHead + +roi_head.mask_head.upsample.bias - torch.Size([256]): +Initialized by user-defined `init_weights` in FCNMaskHead + +roi_head.mask_head.conv_logits.weight - torch.Size([80, 256, 1, 1]): +Initialized by user-defined `init_weights` in FCNMaskHead + +roi_head.mask_head.conv_logits.bias - torch.Size([80]): +Initialized by user-defined `init_weights` in FCNMaskHead +2024/01/15 15:31:14 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io +2024/01/15 15:31:14 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. +2024/01/15 15:31:14 - mmengine - INFO - Checkpoints will be saved to /userhome/liuyue/newcodeversion/Visualize/detection/work_dirs/mask_rcnn_swin_fpn_coco_small_ms_3x. +2024/01/15 15:32:42 - mmengine - INFO - Epoch(train) [1][ 50/7330] base_lr: 5.0000e-06 lr: 5.0000e-06 eta: 5 days, 8:55:23 time: 1.7592 data_time: 0.1754 memory: 10070 loss: 4.6853 loss_rpn_cls: 0.7025 loss_rpn_bbox: 0.0641 loss_cls: 2.9955 acc: 94.9219 loss_bbox: 0.0042 loss_mask: 0.9189 +2024/01/15 15:33:22 - mmengine - INFO - Epoch(train) [1][ 100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 3 days, 21:46:22 time: 0.8004 data_time: 0.0337 memory: 10068 loss: 2.2514 loss_rpn_cls: 0.5231 loss_rpn_bbox: 0.0955 loss_cls: 0.7188 acc: 97.4609 loss_bbox: 0.1427 loss_mask: 0.7713 +2024/01/15 15:34:02 - mmengine - INFO - Epoch(train) [1][ 150/7330] base_lr: 1.5000e-05 lr: 1.5000e-05 eta: 3 days, 9:58:10 time: 0.7972 data_time: 0.0299 memory: 9120 loss: 1.6475 loss_rpn_cls: 0.2970 loss_rpn_bbox: 0.0793 loss_cls: 0.3895 acc: 99.2188 loss_bbox: 0.1772 loss_mask: 0.7045 +2024/01/15 15:34:41 - mmengine - INFO - Epoch(train) [1][ 200/7330] base_lr: 2.0000e-05 lr: 2.0000e-05 eta: 3 days, 3:50:29 time: 0.7851 data_time: 0.0328 memory: 10068 loss: 1.6414 loss_rpn_cls: 0.2399 loss_rpn_bbox: 0.0958 loss_cls: 0.4056 acc: 94.7266 loss_bbox: 0.2063 loss_mask: 0.6938 +2024/01/15 15:35:20 - mmengine - INFO - Epoch(train) [1][ 250/7330] base_lr: 2.5000e-05 lr: 2.5000e-05 eta: 2 days, 23:57:40 time: 0.7715 data_time: 0.0364 memory: 9799 loss: 1.5509 loss_rpn_cls: 0.2082 loss_rpn_bbox: 0.0750 loss_cls: 0.3875 acc: 99.8047 loss_bbox: 0.2005 loss_mask: 0.6798 +2024/01/15 15:35:59 - mmengine - INFO - Epoch(train) [1][ 300/7330] base_lr: 3.0000e-05 lr: 3.0000e-05 eta: 2 days, 21:35:01 time: 0.7890 data_time: 0.0277 memory: 10280 loss: 1.4837 loss_rpn_cls: 0.2021 loss_rpn_bbox: 0.0760 loss_cls: 0.3575 acc: 92.7734 loss_bbox: 0.2042 loss_mask: 0.6439 +2024/01/15 15:36:39 - mmengine - INFO - Epoch(train) [1][ 350/7330] base_lr: 3.5000e-05 lr: 3.5000e-05 eta: 2 days, 19:51:55 time: 0.7873 data_time: 0.0367 memory: 9459 loss: 1.6016 loss_rpn_cls: 0.1657 loss_rpn_bbox: 0.0839 loss_cls: 0.4418 acc: 95.5078 loss_bbox: 0.2462 loss_mask: 0.6639 +2024/01/15 15:37:17 - mmengine - INFO - Epoch(train) [1][ 400/7330] base_lr: 4.0000e-05 lr: 4.0000e-05 eta: 2 days, 18:25:32 time: 0.7711 data_time: 0.0302 memory: 10067 loss: 1.5286 loss_rpn_cls: 0.1327 loss_rpn_bbox: 0.0687 loss_cls: 0.4347 acc: 92.1875 loss_bbox: 0.2622 loss_mask: 0.6302 +2024/01/15 15:37:56 - mmengine - INFO - Epoch(train) [1][ 450/7330] base_lr: 4.5000e-05 lr: 4.5000e-05 eta: 2 days, 17:22:11 time: 0.7793 data_time: 0.0296 memory: 10239 loss: 1.3832 loss_rpn_cls: 0.1088 loss_rpn_bbox: 0.0603 loss_cls: 0.3797 acc: 94.7266 loss_bbox: 0.2447 loss_mask: 0.5898 +2024/01/15 15:38:36 - mmengine - INFO - Epoch(train) [1][ 500/7330] base_lr: 5.0000e-05 lr: 5.0000e-05 eta: 2 days, 16:39:57 time: 0.7988 data_time: 0.0335 memory: 9847 loss: 1.5808 loss_rpn_cls: 0.1121 loss_rpn_bbox: 0.0770 loss_cls: 0.4943 acc: 75.0000 loss_bbox: 0.3234 loss_mask: 0.5740 +2024/01/15 15:39:16 - mmengine - INFO - Epoch(train) [1][ 550/7330] base_lr: 5.5000e-05 lr: 5.5000e-05 eta: 2 days, 16:05:41 time: 0.7998 data_time: 0.0349 memory: 11313 loss: 1.5017 loss_rpn_cls: 0.1269 loss_rpn_bbox: 0.0891 loss_cls: 0.4403 acc: 84.9609 loss_bbox: 0.3275 loss_mask: 0.5179 +2024/01/15 15:39:55 - mmengine - INFO - Epoch(train) [1][ 600/7330] base_lr: 6.0000e-05 lr: 6.0000e-05 eta: 2 days, 15:33:24 time: 0.7900 data_time: 0.0347 memory: 10447 loss: 1.5303 loss_rpn_cls: 0.1024 loss_rpn_bbox: 0.0760 loss_cls: 0.4652 acc: 78.5156 loss_bbox: 0.3803 loss_mask: 0.5065 +2024/01/15 15:40:35 - mmengine - INFO - Epoch(train) [1][ 650/7330] base_lr: 6.5000e-05 lr: 6.5000e-05 eta: 2 days, 15:04:21 time: 0.7851 data_time: 0.0394 memory: 9911 loss: 1.3824 loss_rpn_cls: 0.0945 loss_rpn_bbox: 0.0762 loss_cls: 0.4078 acc: 92.5781 loss_bbox: 0.3530 loss_mask: 0.4509 +2024/01/15 15:41:14 - mmengine - INFO - Epoch(train) [1][ 700/7330] base_lr: 7.0000e-05 lr: 7.0000e-05 eta: 2 days, 14:38:16 time: 0.7817 data_time: 0.0359 memory: 10361 loss: 1.5699 loss_rpn_cls: 0.1229 loss_rpn_bbox: 0.0785 loss_cls: 0.4723 acc: 97.6562 loss_bbox: 0.4166 loss_mask: 0.4796 +2024/01/15 15:41:54 - mmengine - INFO - Epoch(train) [1][ 750/7330] base_lr: 7.5000e-05 lr: 7.5000e-05 eta: 2 days, 14:22:57 time: 0.8069 data_time: 0.0349 memory: 10788 loss: 1.3575 loss_rpn_cls: 0.0880 loss_rpn_bbox: 0.0768 loss_cls: 0.4242 acc: 94.7266 loss_bbox: 0.3466 loss_mask: 0.4218 +2024/01/15 15:42:33 - mmengine - INFO - Epoch(train) [1][ 800/7330] base_lr: 8.0000e-05 lr: 8.0000e-05 eta: 2 days, 14:02:24 time: 0.7811 data_time: 0.0313 memory: 9253 loss: 1.3346 loss_rpn_cls: 0.0758 loss_rpn_bbox: 0.0693 loss_cls: 0.3943 acc: 84.1797 loss_bbox: 0.3622 loss_mask: 0.4330 +2024/01/15 15:43:13 - mmengine - INFO - Epoch(train) [1][ 850/7330] base_lr: 8.5000e-05 lr: 8.5000e-05 eta: 2 days, 13:48:53 time: 0.7993 data_time: 0.0326 memory: 9734 loss: 1.4092 loss_rpn_cls: 0.0958 loss_rpn_bbox: 0.0754 loss_cls: 0.4153 acc: 97.2656 loss_bbox: 0.3756 loss_mask: 0.4472 +2024/01/15 15:43:53 - mmengine - INFO - Epoch(train) [1][ 900/7330] base_lr: 9.0000e-05 lr: 9.0000e-05 eta: 2 days, 13:34:27 time: 0.7897 data_time: 0.0355 memory: 11102 loss: 1.2410 loss_rpn_cls: 0.0811 loss_rpn_bbox: 0.0648 loss_cls: 0.3681 acc: 75.5859 loss_bbox: 0.3401 loss_mask: 0.3870 +2024/01/15 15:44:33 - mmengine - INFO - Epoch(train) [1][ 950/7330] base_lr: 9.5000e-05 lr: 9.5000e-05 eta: 2 days, 13:23:41 time: 0.7992 data_time: 0.0338 memory: 10101 loss: 1.3148 loss_rpn_cls: 0.0740 loss_rpn_bbox: 0.0735 loss_cls: 0.3713 acc: 85.5469 loss_bbox: 0.3746 loss_mask: 0.4215 +2024/01/15 15:45:12 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 15:45:12 - mmengine - INFO - Epoch(train) [1][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 13:11:25 time: 0.7878 data_time: 0.0343 memory: 8712 loss: 1.2034 loss_rpn_cls: 0.0642 loss_rpn_bbox: 0.0604 loss_cls: 0.3408 acc: 96.4844 loss_bbox: 0.3276 loss_mask: 0.4104 +2024/01/15 15:45:52 - mmengine - INFO - Epoch(train) [1][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 13:01:05 time: 0.7918 data_time: 0.0303 memory: 10568 loss: 1.1970 loss_rpn_cls: 0.0647 loss_rpn_bbox: 0.0693 loss_cls: 0.3325 acc: 91.9922 loss_bbox: 0.3453 loss_mask: 0.3852 +2024/01/15 15:46:31 - mmengine - INFO - Epoch(train) [1][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 12:48:57 time: 0.7783 data_time: 0.0301 memory: 10583 loss: 1.1051 loss_rpn_cls: 0.0650 loss_rpn_bbox: 0.0524 loss_cls: 0.2997 acc: 76.9531 loss_bbox: 0.3337 loss_mask: 0.3544 +2024/01/15 15:47:10 - mmengine - INFO - Epoch(train) [1][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 12:41:20 time: 0.7968 data_time: 0.0367 memory: 10408 loss: 1.2478 loss_rpn_cls: 0.0773 loss_rpn_bbox: 0.0635 loss_cls: 0.3431 acc: 79.2969 loss_bbox: 0.3513 loss_mask: 0.4125 +2024/01/15 15:47:49 - mmengine - INFO - Epoch(train) [1][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 12:30:11 time: 0.7742 data_time: 0.0307 memory: 10067 loss: 1.0320 loss_rpn_cls: 0.0490 loss_rpn_bbox: 0.0468 loss_cls: 0.2934 acc: 95.7031 loss_bbox: 0.2984 loss_mask: 0.3445 +2024/01/15 15:48:29 - mmengine - INFO - Epoch(train) [1][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 12:23:11 time: 0.7932 data_time: 0.0253 memory: 10672 loss: 0.9898 loss_rpn_cls: 0.0440 loss_rpn_bbox: 0.0368 loss_cls: 0.2609 acc: 91.7969 loss_bbox: 0.2920 loss_mask: 0.3561 +2024/01/15 15:49:08 - mmengine - INFO - Epoch(train) [1][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 12:16:45 time: 0.7936 data_time: 0.0325 memory: 9949 loss: 1.2799 loss_rpn_cls: 0.0706 loss_rpn_bbox: 0.0797 loss_cls: 0.3579 acc: 98.6328 loss_bbox: 0.3991 loss_mask: 0.3727 +2024/01/15 15:49:48 - mmengine - INFO - Epoch(train) [1][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 12:10:01 time: 0.7892 data_time: 0.0329 memory: 10399 loss: 1.1776 loss_rpn_cls: 0.0544 loss_rpn_bbox: 0.0629 loss_cls: 0.3434 acc: 91.4062 loss_bbox: 0.3497 loss_mask: 0.3673 +2024/01/15 15:50:27 - mmengine - INFO - Epoch(train) [1][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 12:02:38 time: 0.7822 data_time: 0.0313 memory: 9599 loss: 1.1009 loss_rpn_cls: 0.0494 loss_rpn_bbox: 0.0528 loss_cls: 0.2960 acc: 86.7188 loss_bbox: 0.3256 loss_mask: 0.3771 +2024/01/15 15:51:07 - mmengine - INFO - Epoch(train) [1][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:59:00 time: 0.8039 data_time: 0.0300 memory: 10404 loss: 1.2572 loss_rpn_cls: 0.0709 loss_rpn_bbox: 0.0765 loss_cls: 0.3400 acc: 96.0938 loss_bbox: 0.3800 loss_mask: 0.3897 +2024/01/15 15:51:47 - mmengine - INFO - Epoch(train) [1][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:55:06 time: 0.8008 data_time: 0.0334 memory: 10672 loss: 1.1008 loss_rpn_cls: 0.0638 loss_rpn_bbox: 0.0641 loss_cls: 0.2946 acc: 88.8672 loss_bbox: 0.3425 loss_mask: 0.3359 +2024/01/15 15:52:26 - mmengine - INFO - Epoch(train) [1][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:48:38 time: 0.7811 data_time: 0.0307 memory: 9939 loss: 1.1812 loss_rpn_cls: 0.0696 loss_rpn_bbox: 0.0564 loss_cls: 0.3390 acc: 97.0703 loss_bbox: 0.3677 loss_mask: 0.3484 +2024/01/15 15:53:06 - mmengine - INFO - Epoch(train) [1][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:45:19 time: 0.8015 data_time: 0.0312 memory: 9734 loss: 1.0642 loss_rpn_cls: 0.0487 loss_rpn_bbox: 0.0525 loss_cls: 0.2848 acc: 86.1328 loss_bbox: 0.3399 loss_mask: 0.3383 +2024/01/15 15:53:46 - mmengine - INFO - Epoch(train) [1][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:40:49 time: 0.7913 data_time: 0.0316 memory: 10565 loss: 0.9750 loss_rpn_cls: 0.0498 loss_rpn_bbox: 0.0495 loss_cls: 0.2693 acc: 82.4219 loss_bbox: 0.3004 loss_mask: 0.3060 +2024/01/15 15:54:26 - mmengine - INFO - Epoch(train) [1][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:36:46 time: 0.7932 data_time: 0.0307 memory: 10308 loss: 1.0467 loss_rpn_cls: 0.0649 loss_rpn_bbox: 0.0570 loss_cls: 0.2795 acc: 85.7422 loss_bbox: 0.3315 loss_mask: 0.3138 +2024/01/15 15:55:05 - mmengine - INFO - Epoch(train) [1][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:32:31 time: 0.7899 data_time: 0.0368 memory: 10572 loss: 1.1125 loss_rpn_cls: 0.0658 loss_rpn_bbox: 0.0663 loss_cls: 0.3094 acc: 83.2031 loss_bbox: 0.3376 loss_mask: 0.3334 +2024/01/15 15:55:45 - mmengine - INFO - Epoch(train) [1][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:28:46 time: 0.7925 data_time: 0.0313 memory: 10572 loss: 1.1149 loss_rpn_cls: 0.0580 loss_rpn_bbox: 0.0627 loss_cls: 0.3124 acc: 83.0078 loss_bbox: 0.3451 loss_mask: 0.3367 +2024/01/15 15:56:24 - mmengine - INFO - Epoch(train) [1][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:25:06 time: 0.7917 data_time: 0.0321 memory: 10067 loss: 1.1454 loss_rpn_cls: 0.0639 loss_rpn_bbox: 0.0526 loss_cls: 0.3352 acc: 95.3125 loss_bbox: 0.3627 loss_mask: 0.3311 +2024/01/15 15:57:04 - mmengine - INFO - Epoch(train) [1][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:21:15 time: 0.7889 data_time: 0.0309 memory: 10377 loss: 1.2402 loss_rpn_cls: 0.0733 loss_rpn_bbox: 0.0790 loss_cls: 0.3668 acc: 83.7891 loss_bbox: 0.3897 loss_mask: 0.3315 +2024/01/15 15:57:44 - mmengine - INFO - Epoch(train) [1][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:20:08 time: 0.8116 data_time: 0.0315 memory: 9420 loss: 1.0505 loss_rpn_cls: 0.0700 loss_rpn_bbox: 0.0741 loss_cls: 0.2620 acc: 85.9375 loss_bbox: 0.3152 loss_mask: 0.3292 +2024/01/15 15:58:24 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 15:58:24 - mmengine - INFO - Epoch(train) [1][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:17:32 time: 0.7979 data_time: 0.0388 memory: 10572 loss: 1.1093 loss_rpn_cls: 0.0759 loss_rpn_bbox: 0.0880 loss_cls: 0.2886 acc: 91.9922 loss_bbox: 0.3383 loss_mask: 0.3186 +2024/01/15 15:59:03 - mmengine - INFO - Epoch(train) [1][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:13:28 time: 0.7833 data_time: 0.0330 memory: 10013 loss: 1.0324 loss_rpn_cls: 0.0527 loss_rpn_bbox: 0.0508 loss_cls: 0.2967 acc: 90.4297 loss_bbox: 0.3145 loss_mask: 0.3177 +2024/01/15 15:59:43 - mmengine - INFO - Epoch(train) [1][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:09:39 time: 0.7840 data_time: 0.0364 memory: 10067 loss: 1.1858 loss_rpn_cls: 0.0595 loss_rpn_bbox: 0.0573 loss_cls: 0.3513 acc: 83.7891 loss_bbox: 0.3716 loss_mask: 0.3461 +2024/01/15 16:00:23 - mmengine - INFO - Epoch(train) [1][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:07:31 time: 0.7994 data_time: 0.0322 memory: 9795 loss: 1.0266 loss_rpn_cls: 0.0510 loss_rpn_bbox: 0.0573 loss_cls: 0.2738 acc: 87.5000 loss_bbox: 0.3063 loss_mask: 0.3382 +2024/01/15 16:01:01 - mmengine - INFO - Epoch(train) [1][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 11:02:05 time: 0.7653 data_time: 0.0323 memory: 10506 loss: 1.1305 loss_rpn_cls: 0.0611 loss_rpn_bbox: 0.0643 loss_cls: 0.3133 acc: 82.6172 loss_bbox: 0.3412 loss_mask: 0.3506 +2024/01/15 16:01:41 - mmengine - INFO - Epoch(train) [1][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:59:50 time: 0.7959 data_time: 0.0364 memory: 11517 loss: 1.0603 loss_rpn_cls: 0.0622 loss_rpn_bbox: 0.0554 loss_cls: 0.2945 acc: 89.2578 loss_bbox: 0.3512 loss_mask: 0.2970 +2024/01/15 16:02:21 - mmengine - INFO - Epoch(train) [1][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:57:53 time: 0.7984 data_time: 0.0362 memory: 11102 loss: 1.0364 loss_rpn_cls: 0.0644 loss_rpn_bbox: 0.0528 loss_cls: 0.2984 acc: 81.8359 loss_bbox: 0.3178 loss_mask: 0.3030 +2024/01/15 16:03:01 - mmengine - INFO - Epoch(train) [1][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:56:30 time: 0.8037 data_time: 0.0315 memory: 9947 loss: 1.0428 loss_rpn_cls: 0.0540 loss_rpn_bbox: 0.0593 loss_cls: 0.2942 acc: 91.2109 loss_bbox: 0.3334 loss_mask: 0.3018 +2024/01/15 16:03:40 - mmengine - INFO - Epoch(train) [1][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:53:24 time: 0.7848 data_time: 0.0319 memory: 10492 loss: 0.9175 loss_rpn_cls: 0.0510 loss_rpn_bbox: 0.0499 loss_cls: 0.2418 acc: 99.0234 loss_bbox: 0.2813 loss_mask: 0.2934 +2024/01/15 16:04:19 - mmengine - INFO - Epoch(train) [1][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:50:03 time: 0.7807 data_time: 0.0316 memory: 10582 loss: 1.0061 loss_rpn_cls: 0.0576 loss_rpn_bbox: 0.0582 loss_cls: 0.2790 acc: 99.0234 loss_bbox: 0.3220 loss_mask: 0.2893 +2024/01/15 16:04:59 - mmengine - INFO - Epoch(train) [1][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:48:50 time: 0.8039 data_time: 0.0302 memory: 9420 loss: 1.0327 loss_rpn_cls: 0.0520 loss_rpn_bbox: 0.0508 loss_cls: 0.2983 acc: 82.0312 loss_bbox: 0.3164 loss_mask: 0.3151 +2024/01/15 16:05:39 - mmengine - INFO - Epoch(train) [1][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:46:08 time: 0.7864 data_time: 0.0312 memory: 9947 loss: 0.8856 loss_rpn_cls: 0.0419 loss_rpn_bbox: 0.0420 loss_cls: 0.2270 acc: 99.4141 loss_bbox: 0.2886 loss_mask: 0.2862 +2024/01/15 16:06:18 - mmengine - INFO - Epoch(train) [1][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:44:02 time: 0.7925 data_time: 0.0317 memory: 10583 loss: 0.9519 loss_rpn_cls: 0.0454 loss_rpn_bbox: 0.0460 loss_cls: 0.2551 acc: 98.8281 loss_bbox: 0.3020 loss_mask: 0.3034 +2024/01/15 16:06:58 - mmengine - INFO - Epoch(train) [1][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:41:52 time: 0.7911 data_time: 0.0325 memory: 9681 loss: 1.1285 loss_rpn_cls: 0.0749 loss_rpn_bbox: 0.0673 loss_cls: 0.3289 acc: 96.0938 loss_bbox: 0.3636 loss_mask: 0.2937 +2024/01/15 16:07:36 - mmengine - INFO - Epoch(train) [1][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:38:20 time: 0.7735 data_time: 0.0310 memory: 9570 loss: 1.1070 loss_rpn_cls: 0.0631 loss_rpn_bbox: 0.0607 loss_cls: 0.3009 acc: 87.3047 loss_bbox: 0.3608 loss_mask: 0.3215 +2024/01/15 16:08:16 - mmengine - INFO - Epoch(train) [1][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:36:49 time: 0.7975 data_time: 0.0292 memory: 9734 loss: 0.9438 loss_rpn_cls: 0.0529 loss_rpn_bbox: 0.0449 loss_cls: 0.2241 acc: 91.2109 loss_bbox: 0.2900 loss_mask: 0.3318 +2024/01/15 16:08:56 - mmengine - INFO - Epoch(train) [1][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:34:32 time: 0.7875 data_time: 0.0307 memory: 9915 loss: 1.0227 loss_rpn_cls: 0.0470 loss_rpn_bbox: 0.0457 loss_cls: 0.2704 acc: 96.8750 loss_bbox: 0.3225 loss_mask: 0.3369 +2024/01/15 16:09:34 - mmengine - INFO - Epoch(train) [1][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:31:22 time: 0.7750 data_time: 0.0334 memory: 9846 loss: 1.0784 loss_rpn_cls: 0.0703 loss_rpn_bbox: 0.0618 loss_cls: 0.2910 acc: 83.3984 loss_bbox: 0.3375 loss_mask: 0.3178 +2024/01/15 16:10:14 - mmengine - INFO - Epoch(train) [1][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:29:23 time: 0.7897 data_time: 0.0314 memory: 10568 loss: 0.9318 loss_rpn_cls: 0.0356 loss_rpn_bbox: 0.0458 loss_cls: 0.2784 acc: 97.6562 loss_bbox: 0.2930 loss_mask: 0.2790 +2024/01/15 16:10:54 - mmengine - INFO - Epoch(train) [1][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:29:10 time: 0.8130 data_time: 0.0329 memory: 10583 loss: 0.8835 loss_rpn_cls: 0.0456 loss_rpn_bbox: 0.0463 loss_cls: 0.2426 acc: 83.2031 loss_bbox: 0.2790 loss_mask: 0.2700 +2024/01/15 16:11:35 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 16:11:35 - mmengine - INFO - Epoch(train) [1][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:28:16 time: 0.8037 data_time: 0.0328 memory: 10568 loss: 1.0851 loss_rpn_cls: 0.0575 loss_rpn_bbox: 0.0578 loss_cls: 0.3119 acc: 79.2969 loss_bbox: 0.3556 loss_mask: 0.3024 +2024/01/15 16:12:15 - mmengine - INFO - Epoch(train) [1][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:27:17 time: 0.8025 data_time: 0.0285 memory: 10440 loss: 1.0594 loss_rpn_cls: 0.0519 loss_rpn_bbox: 0.0553 loss_cls: 0.2985 acc: 84.5703 loss_bbox: 0.3397 loss_mask: 0.3140 +2024/01/15 16:12:55 - mmengine - INFO - Epoch(train) [1][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:26:24 time: 0.8038 data_time: 0.0310 memory: 9120 loss: 0.8915 loss_rpn_cls: 0.0459 loss_rpn_bbox: 0.0412 loss_cls: 0.2492 acc: 81.8359 loss_bbox: 0.2896 loss_mask: 0.2655 +2024/01/15 16:13:35 - mmengine - INFO - Epoch(train) [1][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:25:44 time: 0.8069 data_time: 0.0339 memory: 10066 loss: 1.1297 loss_rpn_cls: 0.0501 loss_rpn_bbox: 0.0640 loss_cls: 0.3126 acc: 80.0781 loss_bbox: 0.3553 loss_mask: 0.3476 +2024/01/15 16:14:15 - mmengine - INFO - Epoch(train) [1][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:24:20 time: 0.7960 data_time: 0.0285 memory: 10909 loss: 0.8389 loss_rpn_cls: 0.0483 loss_rpn_bbox: 0.0421 loss_cls: 0.2234 acc: 92.5781 loss_bbox: 0.2615 loss_mask: 0.2635 +2024/01/15 16:14:55 - mmengine - INFO - Epoch(train) [1][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:22:56 time: 0.7957 data_time: 0.0263 memory: 10067 loss: 0.9386 loss_rpn_cls: 0.0482 loss_rpn_bbox: 0.0459 loss_cls: 0.2504 acc: 88.0859 loss_bbox: 0.2990 loss_mask: 0.2952 +2024/01/15 16:15:35 - mmengine - INFO - Epoch(train) [1][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:21:37 time: 0.7965 data_time: 0.0287 memory: 10483 loss: 0.8774 loss_rpn_cls: 0.0437 loss_rpn_bbox: 0.0474 loss_cls: 0.2429 acc: 94.5312 loss_bbox: 0.2759 loss_mask: 0.2676 +2024/01/15 16:16:15 - mmengine - INFO - Epoch(train) [1][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:20:30 time: 0.7995 data_time: 0.0310 memory: 10666 loss: 0.9078 loss_rpn_cls: 0.0444 loss_rpn_bbox: 0.0524 loss_cls: 0.2350 acc: 91.4062 loss_bbox: 0.2931 loss_mask: 0.2829 +2024/01/15 16:16:54 - mmengine - INFO - Epoch(train) [1][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:18:30 time: 0.7853 data_time: 0.0295 memory: 10572 loss: 0.9221 loss_rpn_cls: 0.0419 loss_rpn_bbox: 0.0417 loss_cls: 0.2630 acc: 95.1172 loss_bbox: 0.2926 loss_mask: 0.2829 +2024/01/15 16:17:33 - mmengine - INFO - Epoch(train) [1][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:16:18 time: 0.7814 data_time: 0.0304 memory: 10572 loss: 0.9401 loss_rpn_cls: 0.0494 loss_rpn_bbox: 0.0510 loss_cls: 0.2584 acc: 86.3281 loss_bbox: 0.3147 loss_mask: 0.2665 +2024/01/15 16:18:12 - mmengine - INFO - Epoch(train) [1][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:13:43 time: 0.7748 data_time: 0.0295 memory: 10572 loss: 0.9565 loss_rpn_cls: 0.0459 loss_rpn_bbox: 0.0548 loss_cls: 0.2681 acc: 87.6953 loss_bbox: 0.3170 loss_mask: 0.2707 +2024/01/15 16:18:51 - mmengine - INFO - Epoch(train) [1][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:11:34 time: 0.7810 data_time: 0.0295 memory: 10067 loss: 0.9585 loss_rpn_cls: 0.0567 loss_rpn_bbox: 0.0523 loss_cls: 0.2581 acc: 95.3125 loss_bbox: 0.2902 loss_mask: 0.3013 +2024/01/15 16:19:31 - mmengine - INFO - Epoch(train) [1][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:10:19 time: 0.7949 data_time: 0.0348 memory: 10568 loss: 0.9801 loss_rpn_cls: 0.0660 loss_rpn_bbox: 0.0604 loss_cls: 0.2594 acc: 95.1172 loss_bbox: 0.2991 loss_mask: 0.2952 +2024/01/15 16:20:09 - mmengine - INFO - Epoch(train) [1][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:08:03 time: 0.7777 data_time: 0.0326 memory: 10067 loss: 1.0486 loss_rpn_cls: 0.0645 loss_rpn_bbox: 0.0555 loss_cls: 0.3140 acc: 86.9141 loss_bbox: 0.3191 loss_mask: 0.2955 +2024/01/15 16:20:49 - mmengine - INFO - Epoch(train) [1][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:06:00 time: 0.7807 data_time: 0.0248 memory: 10067 loss: 0.9266 loss_rpn_cls: 0.0461 loss_rpn_bbox: 0.0445 loss_cls: 0.2517 acc: 93.3594 loss_bbox: 0.2939 loss_mask: 0.2903 +2024/01/15 16:21:28 - mmengine - INFO - Epoch(train) [1][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:04:34 time: 0.7907 data_time: 0.0300 memory: 9800 loss: 0.9741 loss_rpn_cls: 0.0625 loss_rpn_bbox: 0.0512 loss_cls: 0.2611 acc: 88.4766 loss_bbox: 0.2857 loss_mask: 0.3136 +2024/01/15 16:22:07 - mmengine - INFO - Epoch(train) [1][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:02:51 time: 0.7854 data_time: 0.0253 memory: 9544 loss: 0.8435 loss_rpn_cls: 0.0485 loss_rpn_bbox: 0.0379 loss_cls: 0.2296 acc: 96.0938 loss_bbox: 0.2377 loss_mask: 0.2897 +2024/01/15 16:22:47 - mmengine - INFO - Epoch(train) [1][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 10:01:36 time: 0.7932 data_time: 0.0293 memory: 10572 loss: 0.9790 loss_rpn_cls: 0.0516 loss_rpn_bbox: 0.0624 loss_cls: 0.2614 acc: 93.3594 loss_bbox: 0.3069 loss_mask: 0.2968 +2024/01/15 16:23:26 - mmengine - INFO - Epoch(train) [1][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:59:48 time: 0.7831 data_time: 0.0312 memory: 11201 loss: 0.8864 loss_rpn_cls: 0.0556 loss_rpn_bbox: 0.0453 loss_cls: 0.2464 acc: 95.8984 loss_bbox: 0.2908 loss_mask: 0.2482 +2024/01/15 16:24:05 - mmengine - INFO - Epoch(train) [1][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:58:02 time: 0.7831 data_time: 0.0348 memory: 10067 loss: 0.9644 loss_rpn_cls: 0.0544 loss_rpn_bbox: 0.0588 loss_cls: 0.2506 acc: 87.8906 loss_bbox: 0.2961 loss_mask: 0.3045 +2024/01/15 16:24:45 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 16:24:45 - mmengine - INFO - Epoch(train) [1][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:57:04 time: 0.7972 data_time: 0.0324 memory: 9140 loss: 0.9746 loss_rpn_cls: 0.0642 loss_rpn_bbox: 0.0571 loss_cls: 0.2659 acc: 99.8047 loss_bbox: 0.2923 loss_mask: 0.2950 +2024/01/15 16:25:24 - mmengine - INFO - Epoch(train) [1][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:55:14 time: 0.7811 data_time: 0.0247 memory: 10572 loss: 0.8025 loss_rpn_cls: 0.0356 loss_rpn_bbox: 0.0403 loss_cls: 0.2010 acc: 80.8594 loss_bbox: 0.2463 loss_mask: 0.2792 +2024/01/15 16:26:03 - mmengine - INFO - Epoch(train) [1][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:53:35 time: 0.7836 data_time: 0.0341 memory: 10583 loss: 0.9381 loss_rpn_cls: 0.0417 loss_rpn_bbox: 0.0454 loss_cls: 0.2415 acc: 81.4453 loss_bbox: 0.3069 loss_mask: 0.3025 +2024/01/15 16:26:43 - mmengine - INFO - Epoch(train) [1][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:51:55 time: 0.7834 data_time: 0.0259 memory: 10583 loss: 0.8975 loss_rpn_cls: 0.0437 loss_rpn_bbox: 0.0443 loss_cls: 0.2532 acc: 84.3750 loss_bbox: 0.2886 loss_mask: 0.2677 +2024/01/15 16:27:22 - mmengine - INFO - Epoch(train) [1][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:50:29 time: 0.7872 data_time: 0.0346 memory: 10769 loss: 1.0099 loss_rpn_cls: 0.0375 loss_rpn_bbox: 0.0484 loss_cls: 0.2761 acc: 89.6484 loss_bbox: 0.3410 loss_mask: 0.3069 +2024/01/15 16:28:01 - mmengine - INFO - Epoch(train) [1][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:48:44 time: 0.7804 data_time: 0.0338 memory: 10067 loss: 1.0597 loss_rpn_cls: 0.0593 loss_rpn_bbox: 0.0616 loss_cls: 0.2918 acc: 97.2656 loss_bbox: 0.3478 loss_mask: 0.2991 +2024/01/15 16:28:41 - mmengine - INFO - Epoch(train) [1][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:48:24 time: 0.8085 data_time: 0.0370 memory: 9847 loss: 1.0036 loss_rpn_cls: 0.0516 loss_rpn_bbox: 0.0650 loss_cls: 0.2735 acc: 99.6094 loss_bbox: 0.3367 loss_mask: 0.2767 +2024/01/15 16:29:22 - mmengine - INFO - Epoch(train) [1][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:47:50 time: 0.8036 data_time: 0.0320 memory: 10715 loss: 0.9162 loss_rpn_cls: 0.0494 loss_rpn_bbox: 0.0469 loss_cls: 0.2608 acc: 95.8984 loss_bbox: 0.2782 loss_mask: 0.2809 +2024/01/15 16:30:01 - mmengine - INFO - Epoch(train) [1][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:46:54 time: 0.7963 data_time: 0.0253 memory: 10258 loss: 0.8489 loss_rpn_cls: 0.0454 loss_rpn_bbox: 0.0375 loss_cls: 0.2283 acc: 98.8281 loss_bbox: 0.2610 loss_mask: 0.2768 +2024/01/15 16:30:41 - mmengine - INFO - Epoch(train) [1][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:45:31 time: 0.7869 data_time: 0.0293 memory: 10572 loss: 0.9615 loss_rpn_cls: 0.0701 loss_rpn_bbox: 0.0618 loss_cls: 0.2588 acc: 99.0234 loss_bbox: 0.2864 loss_mask: 0.2843 +2024/01/15 16:31:20 - mmengine - INFO - Epoch(train) [1][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:44:10 time: 0.7873 data_time: 0.0311 memory: 9614 loss: 0.9049 loss_rpn_cls: 0.0507 loss_rpn_bbox: 0.0533 loss_cls: 0.2404 acc: 83.0078 loss_bbox: 0.2853 loss_mask: 0.2753 +2024/01/15 16:32:00 - mmengine - INFO - Epoch(train) [1][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:43:45 time: 0.8066 data_time: 0.0341 memory: 10516 loss: 0.9726 loss_rpn_cls: 0.0539 loss_rpn_bbox: 0.0581 loss_cls: 0.2767 acc: 82.2266 loss_bbox: 0.3001 loss_mask: 0.2838 +2024/01/15 16:32:40 - mmengine - INFO - Epoch(train) [1][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:42:36 time: 0.7913 data_time: 0.0325 memory: 10067 loss: 1.0450 loss_rpn_cls: 0.0434 loss_rpn_bbox: 0.0584 loss_cls: 0.2938 acc: 99.0234 loss_bbox: 0.3508 loss_mask: 0.2985 +2024/01/15 16:33:19 - mmengine - INFO - Epoch(train) [1][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:41:13 time: 0.7857 data_time: 0.0376 memory: 10572 loss: 1.0237 loss_rpn_cls: 0.0473 loss_rpn_bbox: 0.0725 loss_cls: 0.2880 acc: 97.4609 loss_bbox: 0.3373 loss_mask: 0.2784 +2024/01/15 16:33:58 - mmengine - INFO - Epoch(train) [1][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:39:05 time: 0.7693 data_time: 0.0299 memory: 10568 loss: 0.8720 loss_rpn_cls: 0.0470 loss_rpn_bbox: 0.0593 loss_cls: 0.2256 acc: 92.7734 loss_bbox: 0.2688 loss_mask: 0.2713 +2024/01/15 16:34:37 - mmengine - INFO - Epoch(train) [1][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:37:30 time: 0.7805 data_time: 0.0263 memory: 9049 loss: 0.7301 loss_rpn_cls: 0.0385 loss_rpn_bbox: 0.0369 loss_cls: 0.2033 acc: 94.3359 loss_bbox: 0.2161 loss_mask: 0.2353 +2024/01/15 16:35:17 - mmengine - INFO - Epoch(train) [1][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:36:44 time: 0.7985 data_time: 0.0335 memory: 9949 loss: 0.8989 loss_rpn_cls: 0.0485 loss_rpn_bbox: 0.0432 loss_cls: 0.2464 acc: 97.0703 loss_bbox: 0.2786 loss_mask: 0.2822 +2024/01/15 16:35:56 - mmengine - INFO - Epoch(train) [1][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:35:25 time: 0.7860 data_time: 0.0300 memory: 11204 loss: 0.8947 loss_rpn_cls: 0.0406 loss_rpn_bbox: 0.0455 loss_cls: 0.2461 acc: 91.6016 loss_bbox: 0.2920 loss_mask: 0.2705 +2024/01/15 16:36:36 - mmengine - INFO - Epoch(train) [1][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:34:40 time: 0.7984 data_time: 0.0360 memory: 9851 loss: 0.9505 loss_rpn_cls: 0.0414 loss_rpn_bbox: 0.0485 loss_cls: 0.2698 acc: 89.0625 loss_bbox: 0.3025 loss_mask: 0.2882 +2024/01/15 16:37:20 - mmengine - INFO - Epoch(train) [1][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:37:29 time: 0.8803 data_time: 0.0325 memory: 10572 loss: 0.9412 loss_rpn_cls: 0.0472 loss_rpn_bbox: 0.0499 loss_cls: 0.2702 acc: 98.8281 loss_bbox: 0.2871 loss_mask: 0.2868 +2024/01/15 16:37:59 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 16:37:59 - mmengine - INFO - Epoch(train) [1][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:36:23 time: 0.7910 data_time: 0.0357 memory: 10572 loss: 1.0600 loss_rpn_cls: 0.0544 loss_rpn_bbox: 0.0686 loss_cls: 0.2951 acc: 94.9219 loss_bbox: 0.3484 loss_mask: 0.2936 +2024/01/15 16:38:40 - mmengine - INFO - Epoch(train) [1][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:35:49 time: 0.8036 data_time: 0.0304 memory: 9949 loss: 0.8587 loss_rpn_cls: 0.0419 loss_rpn_bbox: 0.0437 loss_cls: 0.2334 acc: 83.3984 loss_bbox: 0.2604 loss_mask: 0.2792 +2024/01/15 16:39:19 - mmengine - INFO - Epoch(train) [1][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:34:35 time: 0.7878 data_time: 0.0353 memory: 10067 loss: 0.9114 loss_rpn_cls: 0.0532 loss_rpn_bbox: 0.0536 loss_cls: 0.2451 acc: 98.0469 loss_bbox: 0.2908 loss_mask: 0.2687 +2024/01/15 16:39:58 - mmengine - INFO - Epoch(train) [1][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:33:18 time: 0.7861 data_time: 0.0295 memory: 10253 loss: 0.8530 loss_rpn_cls: 0.0588 loss_rpn_bbox: 0.0408 loss_cls: 0.2407 acc: 98.8281 loss_bbox: 0.2457 loss_mask: 0.2670 +2024/01/15 16:40:39 - mmengine - INFO - Epoch(train) [1][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:32:58 time: 0.8090 data_time: 0.0281 memory: 9736 loss: 0.7874 loss_rpn_cls: 0.0371 loss_rpn_bbox: 0.0465 loss_cls: 0.1968 acc: 98.4375 loss_bbox: 0.2394 loss_mask: 0.2676 +2024/01/15 16:41:18 - mmengine - INFO - Epoch(train) [1][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:31:49 time: 0.7892 data_time: 0.0288 memory: 9737 loss: 0.9537 loss_rpn_cls: 0.0523 loss_rpn_bbox: 0.0541 loss_cls: 0.2602 acc: 75.9766 loss_bbox: 0.3156 loss_mask: 0.2714 +2024/01/15 16:41:58 - mmengine - INFO - Epoch(train) [1][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:31:09 time: 0.8009 data_time: 0.0316 memory: 9867 loss: 1.0077 loss_rpn_cls: 0.0517 loss_rpn_bbox: 0.0455 loss_cls: 0.2814 acc: 76.3672 loss_bbox: 0.3296 loss_mask: 0.2996 +2024/01/15 16:42:38 - mmengine - INFO - Epoch(train) [1][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:30:18 time: 0.7960 data_time: 0.0331 memory: 10583 loss: 0.8840 loss_rpn_cls: 0.0394 loss_rpn_bbox: 0.0453 loss_cls: 0.2360 acc: 96.6797 loss_bbox: 0.2806 loss_mask: 0.2826 +2024/01/15 16:43:18 - mmengine - INFO - Epoch(train) [1][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:29:20 time: 0.7932 data_time: 0.0259 memory: 9675 loss: 0.8615 loss_rpn_cls: 0.0390 loss_rpn_bbox: 0.0440 loss_cls: 0.2344 acc: 95.7031 loss_bbox: 0.2786 loss_mask: 0.2656 +2024/01/15 16:43:57 - mmengine - INFO - Epoch(train) [1][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:27:50 time: 0.7799 data_time: 0.0292 memory: 10513 loss: 0.8401 loss_rpn_cls: 0.0397 loss_rpn_bbox: 0.0441 loss_cls: 0.2319 acc: 85.3516 loss_bbox: 0.2670 loss_mask: 0.2573 +2024/01/15 16:44:36 - mmengine - INFO - Epoch(train) [1][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:26:14 time: 0.7768 data_time: 0.0325 memory: 9420 loss: 0.8433 loss_rpn_cls: 0.0402 loss_rpn_bbox: 0.0460 loss_cls: 0.2345 acc: 97.0703 loss_bbox: 0.2693 loss_mask: 0.2534 +2024/01/15 16:45:15 - mmengine - INFO - Epoch(train) [1][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:25:24 time: 0.7959 data_time: 0.0271 memory: 10284 loss: 0.8053 loss_rpn_cls: 0.0343 loss_rpn_bbox: 0.0325 loss_cls: 0.2189 acc: 96.0938 loss_bbox: 0.2656 loss_mask: 0.2541 +2024/01/15 16:45:56 - mmengine - INFO - Epoch(train) [1][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:24:53 time: 0.8040 data_time: 0.0348 memory: 10572 loss: 0.9754 loss_rpn_cls: 0.0530 loss_rpn_bbox: 0.0568 loss_cls: 0.2651 acc: 96.2891 loss_bbox: 0.3201 loss_mask: 0.2805 +2024/01/15 16:46:35 - mmengine - INFO - Epoch(train) [1][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:24:05 time: 0.7969 data_time: 0.0322 memory: 10067 loss: 0.8635 loss_rpn_cls: 0.0454 loss_rpn_bbox: 0.0532 loss_cls: 0.2217 acc: 95.8984 loss_bbox: 0.2682 loss_mask: 0.2750 +2024/01/15 16:47:15 - mmengine - INFO - Epoch(train) [1][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:22:46 time: 0.7828 data_time: 0.0351 memory: 9877 loss: 0.9232 loss_rpn_cls: 0.0475 loss_rpn_bbox: 0.0475 loss_cls: 0.2600 acc: 91.4062 loss_bbox: 0.3042 loss_mask: 0.2642 +2024/01/15 16:47:54 - mmengine - INFO - Epoch(train) [1][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:21:28 time: 0.7832 data_time: 0.0293 memory: 9604 loss: 0.8886 loss_rpn_cls: 0.0445 loss_rpn_bbox: 0.0480 loss_cls: 0.2365 acc: 99.2188 loss_bbox: 0.3041 loss_mask: 0.2555 +2024/01/15 16:48:33 - mmengine - INFO - Epoch(train) [1][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:20:01 time: 0.7788 data_time: 0.0323 memory: 10572 loss: 0.9912 loss_rpn_cls: 0.0655 loss_rpn_bbox: 0.0607 loss_cls: 0.2651 acc: 92.9688 loss_bbox: 0.3081 loss_mask: 0.2919 +2024/01/15 16:49:12 - mmengine - INFO - Epoch(train) [1][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:19:04 time: 0.7921 data_time: 0.0340 memory: 10086 loss: 1.0939 loss_rpn_cls: 0.0511 loss_rpn_bbox: 0.0587 loss_cls: 0.3251 acc: 79.1016 loss_bbox: 0.3640 loss_mask: 0.2950 +2024/01/15 16:49:51 - mmengine - INFO - Epoch(train) [1][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:17:30 time: 0.7749 data_time: 0.0365 memory: 10067 loss: 0.9828 loss_rpn_cls: 0.0457 loss_rpn_bbox: 0.0613 loss_cls: 0.2924 acc: 90.8203 loss_bbox: 0.3234 loss_mask: 0.2600 +2024/01/15 16:50:30 - mmengine - INFO - Epoch(train) [1][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:16:08 time: 0.7801 data_time: 0.0304 memory: 10067 loss: 0.9461 loss_rpn_cls: 0.0456 loss_rpn_bbox: 0.0448 loss_cls: 0.2494 acc: 96.4844 loss_bbox: 0.3075 loss_mask: 0.2988 +2024/01/15 16:51:09 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 16:51:09 - mmengine - INFO - Epoch(train) [1][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:14:57 time: 0.7852 data_time: 0.0247 memory: 10067 loss: 0.8117 loss_rpn_cls: 0.0404 loss_rpn_bbox: 0.0368 loss_cls: 0.2202 acc: 93.9453 loss_bbox: 0.2521 loss_mask: 0.2622 +2024/01/15 16:51:49 - mmengine - INFO - Epoch(train) [1][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:14:07 time: 0.7941 data_time: 0.0342 memory: 10715 loss: 0.8460 loss_rpn_cls: 0.0317 loss_rpn_bbox: 0.0357 loss_cls: 0.2360 acc: 99.0234 loss_bbox: 0.2640 loss_mask: 0.2786 +2024/01/15 16:52:29 - mmengine - INFO - Epoch(train) [1][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:13:28 time: 0.8000 data_time: 0.0327 memory: 10067 loss: 0.8794 loss_rpn_cls: 0.0488 loss_rpn_bbox: 0.0395 loss_cls: 0.2550 acc: 99.0234 loss_bbox: 0.2733 loss_mask: 0.2629 +2024/01/15 16:53:07 - mmengine - INFO - Epoch(train) [1][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:11:44 time: 0.7686 data_time: 0.0308 memory: 10067 loss: 0.8886 loss_rpn_cls: 0.0427 loss_rpn_bbox: 0.0445 loss_cls: 0.2322 acc: 81.6406 loss_bbox: 0.3009 loss_mask: 0.2682 +2024/01/15 16:53:47 - mmengine - INFO - Epoch(train) [1][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:10:54 time: 0.7939 data_time: 0.0302 memory: 9949 loss: 0.8691 loss_rpn_cls: 0.0620 loss_rpn_bbox: 0.0539 loss_cls: 0.2177 acc: 98.4375 loss_bbox: 0.2609 loss_mask: 0.2746 +2024/01/15 16:54:26 - mmengine - INFO - Epoch(train) [1][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:09:33 time: 0.7789 data_time: 0.0272 memory: 10572 loss: 0.9220 loss_rpn_cls: 0.0493 loss_rpn_bbox: 0.0523 loss_cls: 0.2442 acc: 98.0469 loss_bbox: 0.3025 loss_mask: 0.2737 +2024/01/15 16:55:06 - mmengine - INFO - Epoch(train) [1][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:08:46 time: 0.7954 data_time: 0.0332 memory: 10067 loss: 0.9167 loss_rpn_cls: 0.0578 loss_rpn_bbox: 0.0503 loss_cls: 0.2787 acc: 95.3125 loss_bbox: 0.2763 loss_mask: 0.2536 +2024/01/15 16:55:45 - mmengine - INFO - Epoch(train) [1][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:07:45 time: 0.7880 data_time: 0.0357 memory: 10137 loss: 0.9507 loss_rpn_cls: 0.0500 loss_rpn_bbox: 0.0511 loss_cls: 0.2615 acc: 97.6562 loss_bbox: 0.3038 loss_mask: 0.2842 +2024/01/15 16:56:25 - mmengine - INFO - Epoch(train) [1][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:06:47 time: 0.7900 data_time: 0.0276 memory: 10572 loss: 0.7861 loss_rpn_cls: 0.0458 loss_rpn_bbox: 0.0366 loss_cls: 0.2151 acc: 87.1094 loss_bbox: 0.2547 loss_mask: 0.2339 +2024/01/15 16:57:05 - mmengine - INFO - Epoch(train) [1][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:06:23 time: 0.8063 data_time: 0.0308 memory: 10067 loss: 0.8035 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0326 loss_cls: 0.2119 acc: 85.7422 loss_bbox: 0.2642 loss_mask: 0.2672 +2024/01/15 16:57:44 - mmengine - INFO - Epoch(train) [1][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:05:21 time: 0.7875 data_time: 0.0280 memory: 10715 loss: 0.8036 loss_rpn_cls: 0.0440 loss_rpn_bbox: 0.0394 loss_cls: 0.2105 acc: 99.0234 loss_bbox: 0.2502 loss_mask: 0.2595 +2024/01/15 16:58:23 - mmengine - INFO - Epoch(train) [1][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:03:59 time: 0.7773 data_time: 0.0342 memory: 10113 loss: 0.9794 loss_rpn_cls: 0.0558 loss_rpn_bbox: 0.0531 loss_cls: 0.2913 acc: 96.8750 loss_bbox: 0.3021 loss_mask: 0.2770 +2024/01/15 16:59:03 - mmengine - INFO - Epoch(train) [1][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:02:50 time: 0.7832 data_time: 0.0259 memory: 9120 loss: 0.8208 loss_rpn_cls: 0.0352 loss_rpn_bbox: 0.0407 loss_cls: 0.2257 acc: 94.7266 loss_bbox: 0.2483 loss_mask: 0.2710 +2024/01/15 16:59:42 - mmengine - INFO - Epoch(train) [1][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:01:59 time: 0.7926 data_time: 0.0311 memory: 9840 loss: 0.9483 loss_rpn_cls: 0.0419 loss_rpn_bbox: 0.0558 loss_cls: 0.2462 acc: 97.8516 loss_bbox: 0.2989 loss_mask: 0.3056 +2024/01/15 17:00:21 - mmengine - INFO - Epoch(train) [1][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 9:00:53 time: 0.7847 data_time: 0.0303 memory: 9261 loss: 0.8458 loss_rpn_cls: 0.0354 loss_rpn_bbox: 0.0432 loss_cls: 0.2122 acc: 94.7266 loss_bbox: 0.2539 loss_mask: 0.3010 +2024/01/15 17:01:00 - mmengine - INFO - Epoch(train) [1][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:59:38 time: 0.7795 data_time: 0.0292 memory: 9949 loss: 0.8402 loss_rpn_cls: 0.0396 loss_rpn_bbox: 0.0388 loss_cls: 0.2456 acc: 96.4844 loss_bbox: 0.2751 loss_mask: 0.2411 +2024/01/15 17:01:39 - mmengine - INFO - Epoch(train) [1][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:58:19 time: 0.7772 data_time: 0.0262 memory: 10219 loss: 0.8710 loss_rpn_cls: 0.0388 loss_rpn_bbox: 0.0439 loss_cls: 0.2573 acc: 85.5469 loss_bbox: 0.2693 loss_mask: 0.2617 +2024/01/15 17:02:19 - mmengine - INFO - Epoch(train) [1][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:57:21 time: 0.7884 data_time: 0.0265 memory: 10294 loss: 0.7614 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0368 loss_cls: 0.2051 acc: 96.0938 loss_bbox: 0.2341 loss_mask: 0.2581 +2024/01/15 17:02:58 - mmengine - INFO - Epoch(train) [1][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:56:09 time: 0.7804 data_time: 0.0355 memory: 10299 loss: 0.9689 loss_rpn_cls: 0.0479 loss_rpn_bbox: 0.0568 loss_cls: 0.2631 acc: 87.5000 loss_bbox: 0.3089 loss_mask: 0.2923 +2024/01/15 17:03:37 - mmengine - INFO - Epoch(train) [1][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:55:05 time: 0.7848 data_time: 0.0311 memory: 10516 loss: 0.8760 loss_rpn_cls: 0.0503 loss_rpn_bbox: 0.0441 loss_cls: 0.2488 acc: 77.3438 loss_bbox: 0.2797 loss_mask: 0.2532 +2024/01/15 17:04:16 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 17:04:16 - mmengine - INFO - Epoch(train) [1][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:54:05 time: 0.7860 data_time: 0.0347 memory: 9737 loss: 0.7818 loss_rpn_cls: 0.0373 loss_rpn_bbox: 0.0429 loss_cls: 0.2167 acc: 98.2422 loss_bbox: 0.2550 loss_mask: 0.2299 +2024/01/15 17:04:56 - mmengine - INFO - Epoch(train) [1][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:53:07 time: 0.7876 data_time: 0.0274 memory: 10067 loss: 0.8333 loss_rpn_cls: 0.0493 loss_rpn_bbox: 0.0445 loss_cls: 0.2435 acc: 91.2109 loss_bbox: 0.2498 loss_mask: 0.2462 +2024/01/15 17:05:35 - mmengine - INFO - Epoch(train) [1][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:52:27 time: 0.7974 data_time: 0.0299 memory: 10189 loss: 0.9184 loss_rpn_cls: 0.0503 loss_rpn_bbox: 0.0461 loss_cls: 0.2534 acc: 96.2891 loss_bbox: 0.2907 loss_mask: 0.2778 +2024/01/15 17:06:15 - mmengine - INFO - Epoch(train) [1][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:51:32 time: 0.7889 data_time: 0.0324 memory: 9120 loss: 0.9017 loss_rpn_cls: 0.0468 loss_rpn_bbox: 0.0514 loss_cls: 0.2471 acc: 96.6797 loss_bbox: 0.2898 loss_mask: 0.2666 +2024/01/15 17:06:55 - mmengine - INFO - Epoch(train) [1][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:50:45 time: 0.7935 data_time: 0.0300 memory: 11042 loss: 0.7993 loss_rpn_cls: 0.0403 loss_rpn_bbox: 0.0308 loss_cls: 0.2297 acc: 98.6328 loss_bbox: 0.2490 loss_mask: 0.2494 +2024/01/15 17:07:34 - mmengine - INFO - Epoch(train) [1][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:49:53 time: 0.7906 data_time: 0.0291 memory: 10278 loss: 0.8514 loss_rpn_cls: 0.0351 loss_rpn_bbox: 0.0358 loss_cls: 0.2587 acc: 91.2109 loss_bbox: 0.2722 loss_mask: 0.2496 +2024/01/15 17:08:13 - mmengine - INFO - Epoch(train) [1][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:48:54 time: 0.7861 data_time: 0.0289 memory: 10572 loss: 0.8199 loss_rpn_cls: 0.0364 loss_rpn_bbox: 0.0374 loss_cls: 0.2351 acc: 89.0625 loss_bbox: 0.2610 loss_mask: 0.2500 +2024/01/15 17:08:37 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 17:08:37 - mmengine - INFO - Saving checkpoint at 1 epochs +2024/01/15 17:08:55 - mmengine - INFO - Epoch(val) [1][ 50/313] eta: 0:01:13 time: 0.2793 data_time: 0.1114 memory: 9570 +2024/01/15 17:09:05 - mmengine - INFO - Epoch(val) [1][100/313] eta: 0:00:51 time: 0.1999 data_time: 0.0331 memory: 2388 +2024/01/15 17:09:15 - mmengine - INFO - Epoch(val) [1][150/313] eta: 0:00:36 time: 0.1909 data_time: 0.0271 memory: 2431 +2024/01/15 17:09:25 - mmengine - INFO - Epoch(val) [1][200/313] eta: 0:00:24 time: 0.1996 data_time: 0.0305 memory: 2403 +2024/01/15 17:09:35 - mmengine - INFO - Epoch(val) [1][250/313] eta: 0:00:13 time: 0.2011 data_time: 0.0378 memory: 2431 +2024/01/15 17:09:44 - mmengine - INFO - Epoch(val) [1][300/313] eta: 0:00:02 time: 0.1916 data_time: 0.0245 memory: 2403 +2024/01/15 17:10:00 - mmengine - INFO - Evaluating bbox... +2024/01/15 17:10:32 - mmengine - INFO - bbox_mAP_copypaste: 0.337 0.586 0.349 0.201 0.370 0.442 +2024/01/15 17:10:32 - mmengine - INFO - Evaluating segm... +2024/01/15 17:11:10 - mmengine - INFO - segm_mAP_copypaste: 0.323 0.552 0.334 0.149 0.355 0.483 +2024/01/15 17:11:10 - mmengine - INFO - Epoch(val) [1][313/313] coco/bbox_mAP: 0.3370 coco/bbox_mAP_50: 0.5860 coco/bbox_mAP_75: 0.3490 coco/bbox_mAP_s: 0.2010 coco/bbox_mAP_m: 0.3700 coco/bbox_mAP_l: 0.4420 coco/segm_mAP: 0.3230 coco/segm_mAP_50: 0.5520 coco/segm_mAP_75: 0.3340 coco/segm_mAP_s: 0.1490 coco/segm_mAP_m: 0.3550 coco/segm_mAP_l: 0.4830 data_time: 0.0438 time: 0.2100 +2024/01/15 17:11:51 - mmengine - INFO - Epoch(train) [2][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:48:26 time: 0.8163 data_time: 0.0462 memory: 10583 loss: 0.9847 loss_rpn_cls: 0.0392 loss_rpn_bbox: 0.0559 loss_cls: 0.2790 acc: 91.4062 loss_bbox: 0.3358 loss_mask: 0.2747 +2024/01/15 17:12:31 - mmengine - INFO - Epoch(train) [2][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:47:51 time: 0.7999 data_time: 0.0384 memory: 10943 loss: 0.9608 loss_rpn_cls: 0.0577 loss_rpn_bbox: 0.0588 loss_cls: 0.2741 acc: 96.0938 loss_bbox: 0.3044 loss_mask: 0.2657 +2024/01/15 17:13:10 - mmengine - INFO - Epoch(train) [2][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:46:38 time: 0.7778 data_time: 0.0322 memory: 9599 loss: 0.8304 loss_rpn_cls: 0.0422 loss_rpn_bbox: 0.0465 loss_cls: 0.2205 acc: 96.6797 loss_bbox: 0.2700 loss_mask: 0.2512 +2024/01/15 17:13:49 - mmengine - INFO - Epoch(train) [2][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:45:25 time: 0.7778 data_time: 0.0332 memory: 9511 loss: 0.8634 loss_rpn_cls: 0.0340 loss_rpn_bbox: 0.0422 loss_cls: 0.2293 acc: 96.6797 loss_bbox: 0.3065 loss_mask: 0.2514 +2024/01/15 17:14:29 - mmengine - INFO - Epoch(train) [2][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:45:06 time: 0.8095 data_time: 0.0310 memory: 10199 loss: 0.8830 loss_rpn_cls: 0.0348 loss_rpn_bbox: 0.0420 loss_cls: 0.2270 acc: 88.2812 loss_bbox: 0.2779 loss_mask: 0.3014 +2024/01/15 17:15:09 - mmengine - INFO - Epoch(train) [2][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:44:36 time: 0.8028 data_time: 0.0289 memory: 8425 loss: 0.8050 loss_rpn_cls: 0.0360 loss_rpn_bbox: 0.0382 loss_cls: 0.2172 acc: 93.3594 loss_bbox: 0.2682 loss_mask: 0.2453 +2024/01/15 17:15:49 - mmengine - INFO - Epoch(train) [2][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:43:49 time: 0.7931 data_time: 0.0363 memory: 9737 loss: 0.8279 loss_rpn_cls: 0.0399 loss_rpn_bbox: 0.0487 loss_cls: 0.2151 acc: 94.7266 loss_bbox: 0.2596 loss_mask: 0.2647 +2024/01/15 17:16:30 - mmengine - INFO - Epoch(train) [2][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:43:37 time: 0.8140 data_time: 0.0339 memory: 11516 loss: 0.9354 loss_rpn_cls: 0.0398 loss_rpn_bbox: 0.0514 loss_cls: 0.2692 acc: 88.0859 loss_bbox: 0.3086 loss_mask: 0.2664 +2024/01/15 17:17:09 - mmengine - INFO - Epoch(train) [2][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:42:26 time: 0.7782 data_time: 0.0313 memory: 10278 loss: 0.8330 loss_rpn_cls: 0.0447 loss_rpn_bbox: 0.0412 loss_cls: 0.2269 acc: 92.1875 loss_bbox: 0.2732 loss_mask: 0.2469 +2024/01/15 17:17:48 - mmengine - INFO - Epoch(train) [2][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:41:36 time: 0.7911 data_time: 0.0323 memory: 10672 loss: 0.8863 loss_rpn_cls: 0.0485 loss_rpn_bbox: 0.0449 loss_cls: 0.2496 acc: 83.3984 loss_bbox: 0.3014 loss_mask: 0.2418 +2024/01/15 17:18:28 - mmengine - INFO - Epoch(train) [2][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:40:39 time: 0.7864 data_time: 0.0303 memory: 10583 loss: 0.8754 loss_rpn_cls: 0.0488 loss_rpn_bbox: 0.0514 loss_cls: 0.2301 acc: 95.7031 loss_bbox: 0.2953 loss_mask: 0.2498 +2024/01/15 17:19:07 - mmengine - INFO - Epoch(train) [2][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:39:49 time: 0.7907 data_time: 0.0367 memory: 10568 loss: 0.9456 loss_rpn_cls: 0.0456 loss_rpn_bbox: 0.0588 loss_cls: 0.2574 acc: 91.2109 loss_bbox: 0.3007 loss_mask: 0.2830 +2024/01/15 17:19:47 - mmengine - INFO - Epoch(train) [2][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:38:56 time: 0.7893 data_time: 0.0282 memory: 9946 loss: 0.8481 loss_rpn_cls: 0.0458 loss_rpn_bbox: 0.0484 loss_cls: 0.2286 acc: 82.8125 loss_bbox: 0.2633 loss_mask: 0.2620 +2024/01/15 17:20:03 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 17:20:27 - mmengine - INFO - Epoch(train) [2][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:38:30 time: 0.8053 data_time: 0.0287 memory: 10582 loss: 0.7500 loss_rpn_cls: 0.0325 loss_rpn_bbox: 0.0370 loss_cls: 0.2099 acc: 82.4219 loss_bbox: 0.2493 loss_mask: 0.2213 +2024/01/15 17:21:06 - mmengine - INFO - Epoch(train) [2][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:37:40 time: 0.7904 data_time: 0.0361 memory: 10278 loss: 0.9064 loss_rpn_cls: 0.0526 loss_rpn_bbox: 0.0491 loss_cls: 0.2445 acc: 99.4141 loss_bbox: 0.2889 loss_mask: 0.2713 +2024/01/15 17:21:47 - mmengine - INFO - Epoch(train) [2][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:37:14 time: 0.8060 data_time: 0.0381 memory: 9397 loss: 0.8872 loss_rpn_cls: 0.0490 loss_rpn_bbox: 0.0490 loss_cls: 0.2526 acc: 82.0312 loss_bbox: 0.2906 loss_mask: 0.2460 +2024/01/15 17:22:26 - mmengine - INFO - Epoch(train) [2][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:36:08 time: 0.7800 data_time: 0.0321 memory: 10572 loss: 0.7858 loss_rpn_cls: 0.0317 loss_rpn_bbox: 0.0403 loss_cls: 0.2108 acc: 80.8594 loss_bbox: 0.2649 loss_mask: 0.2380 +2024/01/15 17:23:05 - mmengine - INFO - Epoch(train) [2][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:35:06 time: 0.7826 data_time: 0.0323 memory: 9949 loss: 0.8307 loss_rpn_cls: 0.0308 loss_rpn_bbox: 0.0400 loss_cls: 0.2355 acc: 87.6953 loss_bbox: 0.2898 loss_mask: 0.2346 +2024/01/15 17:23:45 - mmengine - INFO - Epoch(train) [2][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:34:26 time: 0.7968 data_time: 0.0288 memory: 10063 loss: 0.7191 loss_rpn_cls: 0.0377 loss_rpn_bbox: 0.0392 loss_cls: 0.1825 acc: 97.6562 loss_bbox: 0.2442 loss_mask: 0.2155 +2024/01/15 17:24:25 - mmengine - INFO - Epoch(train) [2][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:33:51 time: 0.8003 data_time: 0.0354 memory: 10516 loss: 0.9154 loss_rpn_cls: 0.0477 loss_rpn_bbox: 0.0510 loss_cls: 0.2430 acc: 78.1250 loss_bbox: 0.2996 loss_mask: 0.2742 +2024/01/15 17:25:04 - mmengine - INFO - Epoch(train) [2][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:32:46 time: 0.7801 data_time: 0.0288 memory: 9364 loss: 0.8030 loss_rpn_cls: 0.0378 loss_rpn_bbox: 0.0434 loss_cls: 0.2148 acc: 79.8828 loss_bbox: 0.2657 loss_mask: 0.2413 +2024/01/15 17:25:43 - mmengine - INFO - Epoch(train) [2][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:31:53 time: 0.7882 data_time: 0.0328 memory: 10522 loss: 0.8514 loss_rpn_cls: 0.0371 loss_rpn_bbox: 0.0415 loss_cls: 0.2310 acc: 94.5312 loss_bbox: 0.2904 loss_mask: 0.2513 +2024/01/15 17:26:23 - mmengine - INFO - Epoch(train) [2][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:31:13 time: 0.7964 data_time: 0.0305 memory: 10572 loss: 0.7749 loss_rpn_cls: 0.0391 loss_rpn_bbox: 0.0400 loss_cls: 0.1908 acc: 99.8047 loss_bbox: 0.2491 loss_mask: 0.2559 +2024/01/15 17:27:02 - mmengine - INFO - Epoch(train) [2][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:30:17 time: 0.7861 data_time: 0.0331 memory: 9543 loss: 0.7788 loss_rpn_cls: 0.0392 loss_rpn_bbox: 0.0426 loss_cls: 0.2179 acc: 84.3750 loss_bbox: 0.2471 loss_mask: 0.2320 +2024/01/15 17:27:41 - mmengine - INFO - Epoch(train) [2][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:29:20 time: 0.7850 data_time: 0.0303 memory: 10779 loss: 0.9276 loss_rpn_cls: 0.0447 loss_rpn_bbox: 0.0520 loss_cls: 0.2631 acc: 98.6328 loss_bbox: 0.3233 loss_mask: 0.2446 +2024/01/15 17:28:22 - mmengine - INFO - Epoch(train) [2][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:28:51 time: 0.8040 data_time: 0.0378 memory: 11102 loss: 0.8622 loss_rpn_cls: 0.0372 loss_rpn_bbox: 0.0519 loss_cls: 0.2202 acc: 98.4375 loss_bbox: 0.2855 loss_mask: 0.2674 +2024/01/15 17:29:02 - mmengine - INFO - Epoch(train) [2][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:28:12 time: 0.7970 data_time: 0.0356 memory: 11102 loss: 0.9213 loss_rpn_cls: 0.0323 loss_rpn_bbox: 0.0418 loss_cls: 0.2467 acc: 82.8125 loss_bbox: 0.3015 loss_mask: 0.2990 +2024/01/15 17:29:40 - mmengine - INFO - Epoch(train) [2][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:26:53 time: 0.7694 data_time: 0.0345 memory: 10067 loss: 0.8606 loss_rpn_cls: 0.0418 loss_rpn_bbox: 0.0424 loss_cls: 0.2416 acc: 88.8672 loss_bbox: 0.2717 loss_mask: 0.2631 +2024/01/15 17:30:20 - mmengine - INFO - Epoch(train) [2][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:26:23 time: 0.8032 data_time: 0.0367 memory: 9851 loss: 0.8503 loss_rpn_cls: 0.0590 loss_rpn_bbox: 0.0438 loss_cls: 0.2258 acc: 98.0469 loss_bbox: 0.2660 loss_mask: 0.2556 +2024/01/15 17:31:00 - mmengine - INFO - Epoch(train) [2][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:25:34 time: 0.7904 data_time: 0.0299 memory: 10093 loss: 0.7695 loss_rpn_cls: 0.0338 loss_rpn_bbox: 0.0441 loss_cls: 0.1848 acc: 98.4375 loss_bbox: 0.2498 loss_mask: 0.2570 +2024/01/15 17:31:39 - mmengine - INFO - Epoch(train) [2][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:24:49 time: 0.7927 data_time: 0.0323 memory: 10572 loss: 0.9415 loss_rpn_cls: 0.0475 loss_rpn_bbox: 0.0564 loss_cls: 0.2736 acc: 90.0391 loss_bbox: 0.3191 loss_mask: 0.2449 +2024/01/15 17:32:19 - mmengine - INFO - Epoch(train) [2][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:23:56 time: 0.7875 data_time: 0.0310 memory: 10067 loss: 0.8291 loss_rpn_cls: 0.0343 loss_rpn_bbox: 0.0410 loss_cls: 0.2122 acc: 88.4766 loss_bbox: 0.2676 loss_mask: 0.2739 +2024/01/15 17:32:58 - mmengine - INFO - Epoch(train) [2][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:23:05 time: 0.7885 data_time: 0.0359 memory: 10278 loss: 0.8953 loss_rpn_cls: 0.0548 loss_rpn_bbox: 0.0507 loss_cls: 0.2397 acc: 90.6250 loss_bbox: 0.2827 loss_mask: 0.2674 +2024/01/15 17:33:13 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 17:33:37 - mmengine - INFO - Epoch(train) [2][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:22:10 time: 0.7859 data_time: 0.0292 memory: 10067 loss: 0.8847 loss_rpn_cls: 0.0413 loss_rpn_bbox: 0.0501 loss_cls: 0.2278 acc: 97.2656 loss_bbox: 0.2931 loss_mask: 0.2725 +2024/01/15 17:34:17 - mmengine - INFO - Epoch(train) [2][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:21:17 time: 0.7862 data_time: 0.0331 memory: 10067 loss: 0.7955 loss_rpn_cls: 0.0323 loss_rpn_bbox: 0.0393 loss_cls: 0.2112 acc: 89.4531 loss_bbox: 0.2782 loss_mask: 0.2345 +2024/01/15 17:34:56 - mmengine - INFO - Epoch(train) [2][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:20:29 time: 0.7906 data_time: 0.0313 memory: 10133 loss: 0.7823 loss_rpn_cls: 0.0396 loss_rpn_bbox: 0.0342 loss_cls: 0.1970 acc: 96.6797 loss_bbox: 0.2377 loss_mask: 0.2738 +2024/01/15 17:35:35 - mmengine - INFO - Epoch(train) [2][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:19:32 time: 0.7838 data_time: 0.0285 memory: 10082 loss: 0.7216 loss_rpn_cls: 0.0362 loss_rpn_bbox: 0.0341 loss_cls: 0.1982 acc: 99.2188 loss_bbox: 0.2368 loss_mask: 0.2162 +2024/01/15 17:36:15 - mmengine - INFO - Epoch(train) [2][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:18:53 time: 0.7968 data_time: 0.0337 memory: 11102 loss: 0.8727 loss_rpn_cls: 0.0437 loss_rpn_bbox: 0.0466 loss_cls: 0.2228 acc: 82.2266 loss_bbox: 0.2788 loss_mask: 0.2808 +2024/01/15 17:36:55 - mmengine - INFO - Epoch(train) [2][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:18:11 time: 0.7942 data_time: 0.0346 memory: 10180 loss: 0.7555 loss_rpn_cls: 0.0274 loss_rpn_bbox: 0.0323 loss_cls: 0.1990 acc: 93.7500 loss_bbox: 0.2329 loss_mask: 0.2639 +2024/01/15 17:37:34 - mmengine - INFO - Epoch(train) [2][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:17:12 time: 0.7822 data_time: 0.0299 memory: 10512 loss: 0.7204 loss_rpn_cls: 0.0321 loss_rpn_bbox: 0.0284 loss_cls: 0.1884 acc: 95.3125 loss_bbox: 0.2251 loss_mask: 0.2464 +2024/01/15 17:38:13 - mmengine - INFO - Epoch(train) [2][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:16:07 time: 0.7780 data_time: 0.0311 memory: 9800 loss: 0.8996 loss_rpn_cls: 0.0505 loss_rpn_bbox: 0.0446 loss_cls: 0.2374 acc: 96.2891 loss_bbox: 0.2946 loss_mask: 0.2724 +2024/01/15 17:38:52 - mmengine - INFO - Epoch(train) [2][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:15:12 time: 0.7842 data_time: 0.0289 memory: 9530 loss: 0.7610 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0329 loss_cls: 0.2129 acc: 91.7969 loss_bbox: 0.2551 loss_mask: 0.2341 +2024/01/15 17:39:32 - mmengine - INFO - Epoch(train) [2][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:14:42 time: 0.8032 data_time: 0.0321 memory: 11102 loss: 0.7557 loss_rpn_cls: 0.0298 loss_rpn_bbox: 0.0443 loss_cls: 0.2072 acc: 96.8750 loss_bbox: 0.2500 loss_mask: 0.2245 +2024/01/15 17:40:12 - mmengine - INFO - Epoch(train) [2][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:13:49 time: 0.7863 data_time: 0.0309 memory: 10635 loss: 0.8691 loss_rpn_cls: 0.0476 loss_rpn_bbox: 0.0441 loss_cls: 0.2385 acc: 87.8906 loss_bbox: 0.2771 loss_mask: 0.2619 +2024/01/15 17:40:51 - mmengine - INFO - Epoch(train) [2][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:13:03 time: 0.7910 data_time: 0.0321 memory: 10572 loss: 0.8253 loss_rpn_cls: 0.0467 loss_rpn_bbox: 0.0459 loss_cls: 0.2214 acc: 90.4297 loss_bbox: 0.2589 loss_mask: 0.2524 +2024/01/15 17:41:31 - mmengine - INFO - Epoch(train) [2][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:12:33 time: 0.8033 data_time: 0.0359 memory: 10537 loss: 0.8809 loss_rpn_cls: 0.0422 loss_rpn_bbox: 0.0508 loss_cls: 0.2387 acc: 99.0234 loss_bbox: 0.2930 loss_mask: 0.2561 +2024/01/15 17:42:12 - mmengine - INFO - Epoch(train) [2][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:12:08 time: 0.8075 data_time: 0.0347 memory: 10648 loss: 0.8143 loss_rpn_cls: 0.0353 loss_rpn_bbox: 0.0429 loss_cls: 0.2195 acc: 84.9609 loss_bbox: 0.2780 loss_mask: 0.2386 +2024/01/15 17:42:52 - mmengine - INFO - Epoch(train) [2][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:11:27 time: 0.7949 data_time: 0.0306 memory: 10167 loss: 0.8264 loss_rpn_cls: 0.0326 loss_rpn_bbox: 0.0408 loss_cls: 0.2170 acc: 86.5234 loss_bbox: 0.2765 loss_mask: 0.2594 +2024/01/15 17:43:31 - mmengine - INFO - Epoch(train) [2][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:10:32 time: 0.7838 data_time: 0.0300 memory: 10067 loss: 0.7572 loss_rpn_cls: 0.0405 loss_rpn_bbox: 0.0374 loss_cls: 0.2065 acc: 99.2188 loss_bbox: 0.2206 loss_mask: 0.2522 +2024/01/15 17:44:11 - mmengine - INFO - Epoch(train) [2][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:10:01 time: 0.8032 data_time: 0.0374 memory: 10324 loss: 0.8724 loss_rpn_cls: 0.0409 loss_rpn_bbox: 0.0418 loss_cls: 0.2494 acc: 91.2109 loss_bbox: 0.3023 loss_mask: 0.2380 +2024/01/15 17:44:51 - mmengine - INFO - Epoch(train) [2][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:09:38 time: 0.8083 data_time: 0.0298 memory: 10310 loss: 0.8957 loss_rpn_cls: 0.0359 loss_rpn_bbox: 0.0461 loss_cls: 0.2399 acc: 97.6562 loss_bbox: 0.2862 loss_mask: 0.2877 +2024/01/15 17:45:31 - mmengine - INFO - Epoch(train) [2][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:09:08 time: 0.8037 data_time: 0.0350 memory: 10583 loss: 0.8636 loss_rpn_cls: 0.0385 loss_rpn_bbox: 0.0453 loss_cls: 0.2435 acc: 98.8281 loss_bbox: 0.2987 loss_mask: 0.2376 +2024/01/15 17:46:12 - mmengine - INFO - Epoch(train) [2][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:08:33 time: 0.8002 data_time: 0.0310 memory: 9334 loss: 0.7687 loss_rpn_cls: 0.0416 loss_rpn_bbox: 0.0416 loss_cls: 0.2141 acc: 99.4141 loss_bbox: 0.2440 loss_mask: 0.2275 +2024/01/15 17:46:27 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 17:46:51 - mmengine - INFO - Epoch(train) [2][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:07:47 time: 0.7908 data_time: 0.0338 memory: 10572 loss: 0.9578 loss_rpn_cls: 0.0389 loss_rpn_bbox: 0.0484 loss_cls: 0.2790 acc: 96.0938 loss_bbox: 0.3094 loss_mask: 0.2821 +2024/01/15 17:47:31 - mmengine - INFO - Epoch(train) [2][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:07:00 time: 0.7907 data_time: 0.0267 memory: 9147 loss: 0.7665 loss_rpn_cls: 0.0374 loss_rpn_bbox: 0.0454 loss_cls: 0.2059 acc: 91.0156 loss_bbox: 0.2344 loss_mask: 0.2433 +2024/01/15 17:48:10 - mmengine - INFO - Epoch(train) [2][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:06:08 time: 0.7857 data_time: 0.0259 memory: 10986 loss: 0.6352 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0335 loss_cls: 0.1602 acc: 93.9453 loss_bbox: 0.1923 loss_mask: 0.2263 +2024/01/15 17:48:49 - mmengine - INFO - Epoch(train) [2][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:05:10 time: 0.7815 data_time: 0.0379 memory: 10433 loss: 0.9125 loss_rpn_cls: 0.0442 loss_rpn_bbox: 0.0475 loss_cls: 0.2521 acc: 77.7344 loss_bbox: 0.3071 loss_mask: 0.2616 +2024/01/15 17:49:29 - mmengine - INFO - Epoch(train) [2][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:04:31 time: 0.7967 data_time: 0.0348 memory: 9601 loss: 0.8680 loss_rpn_cls: 0.0367 loss_rpn_bbox: 0.0458 loss_cls: 0.2513 acc: 90.8203 loss_bbox: 0.2759 loss_mask: 0.2582 +2024/01/15 17:50:09 - mmengine - INFO - Epoch(train) [2][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:03:57 time: 0.8004 data_time: 0.0299 memory: 10572 loss: 0.8557 loss_rpn_cls: 0.0349 loss_rpn_bbox: 0.0380 loss_cls: 0.2293 acc: 83.2031 loss_bbox: 0.2634 loss_mask: 0.2900 +2024/01/15 17:50:49 - mmengine - INFO - Epoch(train) [2][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:03:16 time: 0.7954 data_time: 0.0365 memory: 10584 loss: 0.8841 loss_rpn_cls: 0.0475 loss_rpn_bbox: 0.0429 loss_cls: 0.2469 acc: 89.4531 loss_bbox: 0.2786 loss_mask: 0.2683 +2024/01/15 17:51:28 - mmengine - INFO - Epoch(train) [2][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:02:19 time: 0.7812 data_time: 0.0329 memory: 10875 loss: 0.8978 loss_rpn_cls: 0.0383 loss_rpn_bbox: 0.0470 loss_cls: 0.2524 acc: 97.2656 loss_bbox: 0.3070 loss_mask: 0.2530 +2024/01/15 17:52:07 - mmengine - INFO - Epoch(train) [2][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:01:28 time: 0.7866 data_time: 0.0304 memory: 10453 loss: 0.8280 loss_rpn_cls: 0.0366 loss_rpn_bbox: 0.0371 loss_cls: 0.2305 acc: 91.6016 loss_bbox: 0.2615 loss_mask: 0.2623 +2024/01/15 17:52:46 - mmengine - INFO - Epoch(train) [2][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 8:00:40 time: 0.7888 data_time: 0.0299 memory: 9847 loss: 0.7771 loss_rpn_cls: 0.0354 loss_rpn_bbox: 0.0446 loss_cls: 0.2141 acc: 99.0234 loss_bbox: 0.2375 loss_mask: 0.2455 +2024/01/15 17:53:26 - mmengine - INFO - Epoch(train) [2][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:59:52 time: 0.7893 data_time: 0.0277 memory: 10155 loss: 0.8202 loss_rpn_cls: 0.0351 loss_rpn_bbox: 0.0404 loss_cls: 0.2174 acc: 99.2188 loss_bbox: 0.2424 loss_mask: 0.2849 +2024/01/15 17:54:05 - mmengine - INFO - Epoch(train) [2][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:59:06 time: 0.7909 data_time: 0.0282 memory: 9599 loss: 0.6865 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0299 loss_cls: 0.1875 acc: 97.2656 loss_bbox: 0.2329 loss_mask: 0.2092 +2024/01/15 17:54:45 - mmengine - INFO - Epoch(train) [2][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:58:21 time: 0.7907 data_time: 0.0312 memory: 10067 loss: 0.8334 loss_rpn_cls: 0.0447 loss_rpn_bbox: 0.0412 loss_cls: 0.2128 acc: 87.8906 loss_bbox: 0.2787 loss_mask: 0.2559 +2024/01/15 17:55:24 - mmengine - INFO - Epoch(train) [2][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:57:29 time: 0.7854 data_time: 0.0334 memory: 10986 loss: 0.9058 loss_rpn_cls: 0.0410 loss_rpn_bbox: 0.0405 loss_cls: 0.2647 acc: 98.2422 loss_bbox: 0.2978 loss_mask: 0.2618 +2024/01/15 17:56:04 - mmengine - INFO - Epoch(train) [2][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:56:41 time: 0.7888 data_time: 0.0317 memory: 10568 loss: 0.8560 loss_rpn_cls: 0.0346 loss_rpn_bbox: 0.0422 loss_cls: 0.2363 acc: 84.7656 loss_bbox: 0.3038 loss_mask: 0.2391 +2024/01/15 17:56:43 - mmengine - INFO - Epoch(train) [2][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:55:49 time: 0.7852 data_time: 0.0339 memory: 10715 loss: 0.7651 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0443 loss_cls: 0.1964 acc: 93.7500 loss_bbox: 0.2615 loss_mask: 0.2331 +2024/01/15 17:57:23 - mmengine - INFO - Epoch(train) [2][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:55:24 time: 0.8082 data_time: 0.0408 memory: 9313 loss: 1.0326 loss_rpn_cls: 0.0638 loss_rpn_bbox: 0.0715 loss_cls: 0.2893 acc: 93.9453 loss_bbox: 0.3421 loss_mask: 0.2659 +2024/01/15 17:58:03 - mmengine - INFO - Epoch(train) [2][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:54:42 time: 0.7937 data_time: 0.0284 memory: 10067 loss: 0.8369 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0424 loss_cls: 0.2321 acc: 81.8359 loss_bbox: 0.2631 loss_mask: 0.2689 +2024/01/15 17:58:42 - mmengine - INFO - Epoch(train) [2][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:53:44 time: 0.7801 data_time: 0.0334 memory: 10582 loss: 0.8853 loss_rpn_cls: 0.0602 loss_rpn_bbox: 0.0514 loss_cls: 0.2575 acc: 97.4609 loss_bbox: 0.2841 loss_mask: 0.2321 +2024/01/15 17:59:21 - mmengine - INFO - Epoch(train) [2][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:52:52 time: 0.7842 data_time: 0.0289 memory: 9594 loss: 0.7810 loss_rpn_cls: 0.0362 loss_rpn_bbox: 0.0333 loss_cls: 0.2159 acc: 92.5781 loss_bbox: 0.2512 loss_mask: 0.2444 +2024/01/15 17:59:37 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 18:00:01 - mmengine - INFO - Epoch(train) [2][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:52:20 time: 0.8028 data_time: 0.0328 memory: 9180 loss: 0.8163 loss_rpn_cls: 0.0347 loss_rpn_bbox: 0.0390 loss_cls: 0.2246 acc: 86.7188 loss_bbox: 0.2706 loss_mask: 0.2474 +2024/01/15 18:00:41 - mmengine - INFO - Epoch(train) [2][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:51:37 time: 0.7919 data_time: 0.0286 memory: 10331 loss: 0.8523 loss_rpn_cls: 0.0504 loss_rpn_bbox: 0.0430 loss_cls: 0.2458 acc: 95.7031 loss_bbox: 0.2594 loss_mask: 0.2537 +2024/01/15 18:01:20 - mmengine - INFO - Epoch(train) [2][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:50:45 time: 0.7855 data_time: 0.0270 memory: 10657 loss: 0.7462 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0307 loss_cls: 0.2067 acc: 97.6562 loss_bbox: 0.2552 loss_mask: 0.2293 +2024/01/15 18:01:59 - mmengine - INFO - Epoch(train) [2][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:49:52 time: 0.7837 data_time: 0.0346 memory: 9601 loss: 0.9547 loss_rpn_cls: 0.0500 loss_rpn_bbox: 0.0587 loss_cls: 0.2640 acc: 81.2500 loss_bbox: 0.3113 loss_mask: 0.2707 +2024/01/15 18:02:40 - mmengine - INFO - Epoch(train) [2][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:49:23 time: 0.8044 data_time: 0.0339 memory: 10493 loss: 0.7704 loss_rpn_cls: 0.0390 loss_rpn_bbox: 0.0463 loss_cls: 0.2074 acc: 88.8672 loss_bbox: 0.2487 loss_mask: 0.2290 +2024/01/15 18:03:21 - mmengine - INFO - Epoch(train) [2][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:49:06 time: 0.8162 data_time: 0.0292 memory: 10485 loss: 0.7974 loss_rpn_cls: 0.0413 loss_rpn_bbox: 0.0401 loss_cls: 0.2140 acc: 93.7500 loss_bbox: 0.2535 loss_mask: 0.2485 +2024/01/15 18:04:01 - mmengine - INFO - Epoch(train) [2][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:48:38 time: 0.8058 data_time: 0.0404 memory: 10568 loss: 0.8499 loss_rpn_cls: 0.0390 loss_rpn_bbox: 0.0432 loss_cls: 0.2204 acc: 88.2812 loss_bbox: 0.2833 loss_mask: 0.2640 +2024/01/15 18:04:40 - mmengine - INFO - Epoch(train) [2][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:47:51 time: 0.7894 data_time: 0.0304 memory: 9570 loss: 0.8236 loss_rpn_cls: 0.0501 loss_rpn_bbox: 0.0403 loss_cls: 0.2303 acc: 94.1406 loss_bbox: 0.2584 loss_mask: 0.2444 +2024/01/15 18:05:20 - mmengine - INFO - Epoch(train) [2][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:47:00 time: 0.7850 data_time: 0.0332 memory: 10700 loss: 0.8690 loss_rpn_cls: 0.0416 loss_rpn_bbox: 0.0368 loss_cls: 0.2501 acc: 97.8516 loss_bbox: 0.2808 loss_mask: 0.2597 +2024/01/15 18:05:58 - mmengine - INFO - Epoch(train) [2][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:45:55 time: 0.7731 data_time: 0.0361 memory: 11517 loss: 0.8945 loss_rpn_cls: 0.0479 loss_rpn_bbox: 0.0630 loss_cls: 0.2378 acc: 98.6328 loss_bbox: 0.2930 loss_mask: 0.2528 +2024/01/15 18:06:38 - mmengine - INFO - Epoch(train) [2][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:45:15 time: 0.7950 data_time: 0.0344 memory: 11204 loss: 0.8478 loss_rpn_cls: 0.0464 loss_rpn_bbox: 0.0592 loss_cls: 0.2117 acc: 85.9375 loss_bbox: 0.2591 loss_mask: 0.2713 +2024/01/15 18:07:18 - mmengine - INFO - Epoch(train) [2][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:44:34 time: 0.7936 data_time: 0.0361 memory: 10291 loss: 0.7364 loss_rpn_cls: 0.0415 loss_rpn_bbox: 0.0336 loss_cls: 0.2014 acc: 93.9453 loss_bbox: 0.2390 loss_mask: 0.2210 +2024/01/15 18:07:57 - mmengine - INFO - Epoch(train) [2][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:43:51 time: 0.7930 data_time: 0.0334 memory: 10067 loss: 0.7794 loss_rpn_cls: 0.0325 loss_rpn_bbox: 0.0404 loss_cls: 0.2268 acc: 96.0938 loss_bbox: 0.2572 loss_mask: 0.2225 +2024/01/15 18:08:37 - mmengine - INFO - Epoch(train) [2][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:43:21 time: 0.8047 data_time: 0.0339 memory: 9601 loss: 0.7573 loss_rpn_cls: 0.0285 loss_rpn_bbox: 0.0388 loss_cls: 0.2208 acc: 97.8516 loss_bbox: 0.2307 loss_mask: 0.2386 +2024/01/15 18:09:17 - mmengine - INFO - Epoch(train) [2][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:42:33 time: 0.7869 data_time: 0.0286 memory: 10568 loss: 0.7578 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0388 loss_cls: 0.2066 acc: 88.0859 loss_bbox: 0.2581 loss_mask: 0.2297 +2024/01/15 18:09:57 - mmengine - INFO - Epoch(train) [2][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:41:52 time: 0.7943 data_time: 0.0380 memory: 10572 loss: 0.9315 loss_rpn_cls: 0.0500 loss_rpn_bbox: 0.0688 loss_cls: 0.2439 acc: 90.2344 loss_bbox: 0.2939 loss_mask: 0.2748 +2024/01/15 18:10:36 - mmengine - INFO - Epoch(train) [2][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:41:06 time: 0.7897 data_time: 0.0281 memory: 10248 loss: 0.7961 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0385 loss_cls: 0.2186 acc: 87.1094 loss_bbox: 0.2573 loss_mask: 0.2563 +2024/01/15 18:11:16 - mmengine - INFO - Epoch(train) [2][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:40:26 time: 0.7955 data_time: 0.0315 memory: 9800 loss: 0.8932 loss_rpn_cls: 0.0365 loss_rpn_bbox: 0.0475 loss_cls: 0.2550 acc: 99.2188 loss_bbox: 0.2898 loss_mask: 0.2644 +2024/01/15 18:11:55 - mmengine - INFO - Epoch(train) [2][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:39:25 time: 0.7749 data_time: 0.0279 memory: 9884 loss: 0.7391 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0379 loss_cls: 0.1970 acc: 97.8516 loss_bbox: 0.2504 loss_mask: 0.2260 +2024/01/15 18:12:34 - mmengine - INFO - Epoch(train) [2][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:38:33 time: 0.7834 data_time: 0.0287 memory: 9800 loss: 0.7460 loss_rpn_cls: 0.0301 loss_rpn_bbox: 0.0363 loss_cls: 0.1937 acc: 100.0000 loss_bbox: 0.2415 loss_mask: 0.2444 +2024/01/15 18:12:50 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 18:13:13 - mmengine - INFO - Epoch(train) [2][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:37:52 time: 0.7941 data_time: 0.0360 memory: 9737 loss: 0.8633 loss_rpn_cls: 0.0463 loss_rpn_bbox: 0.0435 loss_cls: 0.2415 acc: 94.7266 loss_bbox: 0.2790 loss_mask: 0.2530 +2024/01/15 18:13:54 - mmengine - INFO - Epoch(train) [2][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:37:22 time: 0.8045 data_time: 0.0338 memory: 10417 loss: 0.9324 loss_rpn_cls: 0.0485 loss_rpn_bbox: 0.0489 loss_cls: 0.2607 acc: 97.8516 loss_bbox: 0.2958 loss_mask: 0.2785 +2024/01/15 18:14:33 - mmengine - INFO - Epoch(train) [2][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:36:25 time: 0.7794 data_time: 0.0393 memory: 10067 loss: 0.8622 loss_rpn_cls: 0.0462 loss_rpn_bbox: 0.0492 loss_cls: 0.2375 acc: 83.2031 loss_bbox: 0.2854 loss_mask: 0.2439 +2024/01/15 18:15:13 - mmengine - INFO - Epoch(train) [2][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:35:48 time: 0.7979 data_time: 0.0419 memory: 10552 loss: 0.9535 loss_rpn_cls: 0.0379 loss_rpn_bbox: 0.0485 loss_cls: 0.2721 acc: 89.4531 loss_bbox: 0.3298 loss_mask: 0.2651 +2024/01/15 18:15:51 - mmengine - INFO - Epoch(train) [2][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:34:49 time: 0.7761 data_time: 0.0331 memory: 9847 loss: 0.7525 loss_rpn_cls: 0.0328 loss_rpn_bbox: 0.0361 loss_cls: 0.2013 acc: 99.4141 loss_bbox: 0.2576 loss_mask: 0.2248 +2024/01/15 18:16:30 - mmengine - INFO - Epoch(train) [2][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:33:48 time: 0.7742 data_time: 0.0280 memory: 9737 loss: 0.7122 loss_rpn_cls: 0.0402 loss_rpn_bbox: 0.0386 loss_cls: 0.1796 acc: 95.3125 loss_bbox: 0.2256 loss_mask: 0.2281 +2024/01/15 18:17:09 - mmengine - INFO - Epoch(train) [2][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:32:53 time: 0.7806 data_time: 0.0290 memory: 9325 loss: 0.7526 loss_rpn_cls: 0.0250 loss_rpn_bbox: 0.0317 loss_cls: 0.2066 acc: 83.5938 loss_bbox: 0.2486 loss_mask: 0.2407 +2024/01/15 18:17:48 - mmengine - INFO - Epoch(train) [2][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:32:06 time: 0.7875 data_time: 0.0306 memory: 9117 loss: 0.7777 loss_rpn_cls: 0.0416 loss_rpn_bbox: 0.0435 loss_cls: 0.2109 acc: 96.0938 loss_bbox: 0.2425 loss_mask: 0.2392 +2024/01/15 18:18:28 - mmengine - INFO - Epoch(train) [2][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:31:21 time: 0.7897 data_time: 0.0408 memory: 10324 loss: 0.9091 loss_rpn_cls: 0.0382 loss_rpn_bbox: 0.0536 loss_cls: 0.2721 acc: 81.0547 loss_bbox: 0.2909 loss_mask: 0.2543 +2024/01/15 18:19:08 - mmengine - INFO - Epoch(train) [2][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:30:37 time: 0.7911 data_time: 0.0283 memory: 10067 loss: 0.7397 loss_rpn_cls: 0.0376 loss_rpn_bbox: 0.0430 loss_cls: 0.1917 acc: 86.1328 loss_bbox: 0.2331 loss_mask: 0.2343 +2024/01/15 18:19:48 - mmengine - INFO - Epoch(train) [2][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:30:04 time: 0.8012 data_time: 0.0442 memory: 10572 loss: 1.0459 loss_rpn_cls: 0.0629 loss_rpn_bbox: 0.0663 loss_cls: 0.2925 acc: 97.8516 loss_bbox: 0.3307 loss_mask: 0.2936 +2024/01/15 18:20:27 - mmengine - INFO - Epoch(train) [2][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:29:10 time: 0.7803 data_time: 0.0283 memory: 10067 loss: 0.7805 loss_rpn_cls: 0.0418 loss_rpn_bbox: 0.0381 loss_cls: 0.2110 acc: 97.8516 loss_bbox: 0.2402 loss_mask: 0.2496 +2024/01/15 18:21:06 - mmengine - INFO - Epoch(train) [2][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:28:23 time: 0.7883 data_time: 0.0303 memory: 10568 loss: 0.7070 loss_rpn_cls: 0.0344 loss_rpn_bbox: 0.0310 loss_cls: 0.1990 acc: 95.1172 loss_bbox: 0.2230 loss_mask: 0.2197 +2024/01/15 18:21:46 - mmengine - INFO - Epoch(train) [2][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:27:45 time: 0.7965 data_time: 0.0371 memory: 9737 loss: 0.8613 loss_rpn_cls: 0.0412 loss_rpn_bbox: 0.0598 loss_cls: 0.2348 acc: 98.2422 loss_bbox: 0.2684 loss_mask: 0.2572 +2024/01/15 18:22:26 - mmengine - INFO - Epoch(train) [2][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:27:21 time: 0.8104 data_time: 0.0289 memory: 10205 loss: 0.6856 loss_rpn_cls: 0.0294 loss_rpn_bbox: 0.0359 loss_cls: 0.1687 acc: 89.4531 loss_bbox: 0.2067 loss_mask: 0.2450 +2024/01/15 18:23:05 - mmengine - INFO - Epoch(train) [2][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:26:26 time: 0.7794 data_time: 0.0333 memory: 9260 loss: 0.8041 loss_rpn_cls: 0.0356 loss_rpn_bbox: 0.0471 loss_cls: 0.2091 acc: 95.5078 loss_bbox: 0.2524 loss_mask: 0.2598 +2024/01/15 18:23:45 - mmengine - INFO - Epoch(train) [2][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:25:46 time: 0.7951 data_time: 0.0296 memory: 10067 loss: 0.7704 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0426 loss_cls: 0.2064 acc: 96.2891 loss_bbox: 0.2641 loss_mask: 0.2283 +2024/01/15 18:24:25 - mmengine - INFO - Epoch(train) [2][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:25:15 time: 0.8032 data_time: 0.0299 memory: 10738 loss: 0.7333 loss_rpn_cls: 0.0396 loss_rpn_bbox: 0.0352 loss_cls: 0.1842 acc: 98.2422 loss_bbox: 0.2324 loss_mask: 0.2420 +2024/01/15 18:25:04 - mmengine - INFO - Epoch(train) [2][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:24:18 time: 0.7774 data_time: 0.0311 memory: 10572 loss: 0.8328 loss_rpn_cls: 0.0431 loss_rpn_bbox: 0.0451 loss_cls: 0.2309 acc: 97.2656 loss_bbox: 0.2796 loss_mask: 0.2341 +2024/01/15 18:25:43 - mmengine - INFO - Epoch(train) [2][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:23:25 time: 0.7814 data_time: 0.0253 memory: 10278 loss: 0.6973 loss_rpn_cls: 0.0285 loss_rpn_bbox: 0.0302 loss_cls: 0.1823 acc: 94.5312 loss_bbox: 0.2239 loss_mask: 0.2324 +2024/01/15 18:25:59 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 18:26:23 - mmengine - INFO - Epoch(train) [2][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:22:43 time: 0.7923 data_time: 0.0418 memory: 9737 loss: 0.9272 loss_rpn_cls: 0.0471 loss_rpn_bbox: 0.0579 loss_cls: 0.2552 acc: 98.4375 loss_bbox: 0.3012 loss_mask: 0.2657 +2024/01/15 18:27:03 - mmengine - INFO - Epoch(train) [2][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:22:09 time: 0.8009 data_time: 0.0348 memory: 10875 loss: 0.7840 loss_rpn_cls: 0.0295 loss_rpn_bbox: 0.0421 loss_cls: 0.2173 acc: 97.2656 loss_bbox: 0.2588 loss_mask: 0.2363 +2024/01/15 18:27:43 - mmengine - INFO - Epoch(train) [2][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:21:30 time: 0.7954 data_time: 0.0347 memory: 10067 loss: 0.8477 loss_rpn_cls: 0.0407 loss_rpn_bbox: 0.0452 loss_cls: 0.2314 acc: 98.0469 loss_bbox: 0.2854 loss_mask: 0.2451 +2024/01/15 18:28:22 - mmengine - INFO - Epoch(train) [2][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:20:35 time: 0.7785 data_time: 0.0348 memory: 10067 loss: 0.7116 loss_rpn_cls: 0.0375 loss_rpn_bbox: 0.0382 loss_cls: 0.1883 acc: 88.8672 loss_bbox: 0.2323 loss_mask: 0.2153 +2024/01/15 18:29:01 - mmengine - INFO - Epoch(train) [2][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:19:44 time: 0.7827 data_time: 0.0391 memory: 10572 loss: 0.8980 loss_rpn_cls: 0.0454 loss_rpn_bbox: 0.0462 loss_cls: 0.2419 acc: 88.8672 loss_bbox: 0.3049 loss_mask: 0.2597 +2024/01/15 18:29:40 - mmengine - INFO - Epoch(train) [2][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:18:57 time: 0.7868 data_time: 0.0358 memory: 10067 loss: 0.8350 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0465 loss_cls: 0.2306 acc: 95.3125 loss_bbox: 0.2728 loss_mask: 0.2547 +2024/01/15 18:30:19 - mmengine - INFO - Epoch(train) [2][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:18:05 time: 0.7821 data_time: 0.0305 memory: 10572 loss: 0.8425 loss_rpn_cls: 0.0325 loss_rpn_bbox: 0.0475 loss_cls: 0.2195 acc: 91.2109 loss_bbox: 0.2887 loss_mask: 0.2542 +2024/01/15 18:30:59 - mmengine - INFO - Epoch(train) [2][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:17:29 time: 0.7983 data_time: 0.0330 memory: 10350 loss: 0.9064 loss_rpn_cls: 0.0469 loss_rpn_bbox: 0.0497 loss_cls: 0.2615 acc: 80.2734 loss_bbox: 0.2889 loss_mask: 0.2594 +2024/01/15 18:31:38 - mmengine - INFO - Epoch(train) [2][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:16:41 time: 0.7860 data_time: 0.0296 memory: 9712 loss: 0.7148 loss_rpn_cls: 0.0298 loss_rpn_bbox: 0.0374 loss_cls: 0.1884 acc: 97.0703 loss_bbox: 0.2443 loss_mask: 0.2149 +2024/01/15 18:32:18 - mmengine - INFO - Epoch(train) [2][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:16:05 time: 0.7981 data_time: 0.0323 memory: 10572 loss: 0.8497 loss_rpn_cls: 0.0388 loss_rpn_bbox: 0.0456 loss_cls: 0.2330 acc: 90.6250 loss_bbox: 0.2796 loss_mask: 0.2528 +2024/01/15 18:32:58 - mmengine - INFO - Epoch(train) [2][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:15:25 time: 0.7946 data_time: 0.0378 memory: 10067 loss: 0.8912 loss_rpn_cls: 0.0347 loss_rpn_bbox: 0.0472 loss_cls: 0.2421 acc: 98.8281 loss_bbox: 0.3062 loss_mask: 0.2611 +2024/01/15 18:33:37 - mmengine - INFO - Epoch(train) [2][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:14:37 time: 0.7854 data_time: 0.0333 memory: 10572 loss: 0.8066 loss_rpn_cls: 0.0292 loss_rpn_bbox: 0.0358 loss_cls: 0.2273 acc: 99.4141 loss_bbox: 0.2676 loss_mask: 0.2467 +2024/01/15 18:34:18 - mmengine - INFO - Epoch(train) [2][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:14:13 time: 0.8118 data_time: 0.0309 memory: 10712 loss: 0.8385 loss_rpn_cls: 0.0319 loss_rpn_bbox: 0.0410 loss_cls: 0.2345 acc: 88.8672 loss_bbox: 0.2668 loss_mask: 0.2643 +2024/01/15 18:34:57 - mmengine - INFO - Epoch(train) [2][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:13:25 time: 0.7851 data_time: 0.0344 memory: 10067 loss: 0.8154 loss_rpn_cls: 0.0440 loss_rpn_bbox: 0.0494 loss_cls: 0.2239 acc: 91.6016 loss_bbox: 0.2612 loss_mask: 0.2370 +2024/01/15 18:35:36 - mmengine - INFO - Epoch(train) [2][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:12:36 time: 0.7848 data_time: 0.0256 memory: 9601 loss: 0.7012 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0293 loss_cls: 0.1946 acc: 95.5078 loss_bbox: 0.2246 loss_mask: 0.2234 +2024/01/15 18:36:15 - mmengine - INFO - Epoch(train) [2][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:11:37 time: 0.7738 data_time: 0.0292 memory: 9137 loss: 0.8134 loss_rpn_cls: 0.0360 loss_rpn_bbox: 0.0365 loss_cls: 0.2416 acc: 90.0391 loss_bbox: 0.2753 loss_mask: 0.2240 +2024/01/15 18:36:54 - mmengine - INFO - Epoch(train) [2][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:10:51 time: 0.7876 data_time: 0.0326 memory: 9736 loss: 0.7831 loss_rpn_cls: 0.0348 loss_rpn_bbox: 0.0462 loss_cls: 0.2117 acc: 89.8438 loss_bbox: 0.2567 loss_mask: 0.2337 +2024/01/15 18:37:34 - mmengine - INFO - Epoch(train) [2][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:10:06 time: 0.7876 data_time: 0.0306 memory: 10727 loss: 0.7440 loss_rpn_cls: 0.0357 loss_rpn_bbox: 0.0319 loss_cls: 0.2036 acc: 95.1172 loss_bbox: 0.2526 loss_mask: 0.2202 +2024/01/15 18:38:13 - mmengine - INFO - Epoch(train) [2][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:09:14 time: 0.7815 data_time: 0.0287 memory: 10583 loss: 0.7659 loss_rpn_cls: 0.0330 loss_rpn_bbox: 0.0363 loss_cls: 0.2135 acc: 93.3594 loss_bbox: 0.2596 loss_mask: 0.2235 +2024/01/15 18:38:52 - mmengine - INFO - Epoch(train) [2][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:08:26 time: 0.7844 data_time: 0.0330 memory: 10153 loss: 0.8091 loss_rpn_cls: 0.0382 loss_rpn_bbox: 0.0417 loss_cls: 0.2158 acc: 90.6250 loss_bbox: 0.2569 loss_mask: 0.2565 +2024/01/15 18:39:07 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 18:39:32 - mmengine - INFO - Epoch(train) [2][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:07:46 time: 0.7946 data_time: 0.0310 memory: 9946 loss: 0.8112 loss_rpn_cls: 0.0318 loss_rpn_bbox: 0.0453 loss_cls: 0.2297 acc: 90.6250 loss_bbox: 0.2602 loss_mask: 0.2442 +2024/01/15 18:40:11 - mmengine - INFO - Epoch(train) [2][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:06:59 time: 0.7857 data_time: 0.0358 memory: 10572 loss: 0.8517 loss_rpn_cls: 0.0504 loss_rpn_bbox: 0.0470 loss_cls: 0.2343 acc: 92.5781 loss_bbox: 0.2821 loss_mask: 0.2380 +2024/01/15 18:40:51 - mmengine - INFO - Epoch(train) [2][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:06:16 time: 0.7908 data_time: 0.0406 memory: 10572 loss: 0.9537 loss_rpn_cls: 0.0537 loss_rpn_bbox: 0.0610 loss_cls: 0.2611 acc: 94.7266 loss_bbox: 0.2916 loss_mask: 0.2862 +2024/01/15 18:41:31 - mmengine - INFO - Epoch(train) [2][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:05:46 time: 0.8048 data_time: 0.0314 memory: 10067 loss: 0.8131 loss_rpn_cls: 0.0380 loss_rpn_bbox: 0.0459 loss_cls: 0.2314 acc: 88.6719 loss_bbox: 0.2644 loss_mask: 0.2334 +2024/01/15 18:42:10 - mmengine - INFO - Epoch(train) [2][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:04:52 time: 0.7787 data_time: 0.0359 memory: 10303 loss: 0.8728 loss_rpn_cls: 0.0460 loss_rpn_bbox: 0.0515 loss_cls: 0.2476 acc: 94.9219 loss_bbox: 0.2943 loss_mask: 0.2334 +2024/01/15 18:42:49 - mmengine - INFO - Epoch(train) [2][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:04:04 time: 0.7848 data_time: 0.0310 memory: 10466 loss: 0.8433 loss_rpn_cls: 0.0413 loss_rpn_bbox: 0.0410 loss_cls: 0.2167 acc: 87.8906 loss_bbox: 0.2811 loss_mask: 0.2633 +2024/01/15 18:43:29 - mmengine - INFO - Epoch(train) [2][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:03:33 time: 0.8044 data_time: 0.0301 memory: 10861 loss: 0.7414 loss_rpn_cls: 0.0410 loss_rpn_bbox: 0.0331 loss_cls: 0.1907 acc: 90.4297 loss_bbox: 0.2196 loss_mask: 0.2571 +2024/01/15 18:44:10 - mmengine - INFO - Epoch(train) [2][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:03:13 time: 0.8171 data_time: 0.0320 memory: 10712 loss: 0.7673 loss_rpn_cls: 0.0306 loss_rpn_bbox: 0.0339 loss_cls: 0.2147 acc: 83.0078 loss_bbox: 0.2515 loss_mask: 0.2366 +2024/01/15 18:44:51 - mmengine - INFO - Epoch(train) [2][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:02:46 time: 0.8090 data_time: 0.0335 memory: 9809 loss: 0.8028 loss_rpn_cls: 0.0340 loss_rpn_bbox: 0.0390 loss_cls: 0.2197 acc: 96.6797 loss_bbox: 0.2667 loss_mask: 0.2434 +2024/01/15 18:45:30 - mmengine - INFO - Epoch(train) [2][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:01:56 time: 0.7820 data_time: 0.0297 memory: 10228 loss: 0.7149 loss_rpn_cls: 0.0341 loss_rpn_bbox: 0.0395 loss_cls: 0.1871 acc: 80.4688 loss_bbox: 0.2256 loss_mask: 0.2286 +2024/01/15 18:46:09 - mmengine - INFO - Epoch(train) [2][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:01:14 time: 0.7921 data_time: 0.0313 memory: 10492 loss: 0.8035 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0378 loss_cls: 0.2437 acc: 97.0703 loss_bbox: 0.2569 loss_mask: 0.2327 +2024/01/15 18:46:49 - mmengine - INFO - Epoch(train) [2][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:00:34 time: 0.7944 data_time: 0.0363 memory: 10538 loss: 0.8538 loss_rpn_cls: 0.0480 loss_rpn_bbox: 0.0490 loss_cls: 0.2374 acc: 99.2188 loss_bbox: 0.2768 loss_mask: 0.2426 +2024/01/15 18:47:30 - mmengine - INFO - Epoch(train) [2][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 7:00:11 time: 0.8138 data_time: 0.0331 memory: 10686 loss: 0.8337 loss_rpn_cls: 0.0404 loss_rpn_bbox: 0.0377 loss_cls: 0.2243 acc: 83.5938 loss_bbox: 0.2783 loss_mask: 0.2531 +2024/01/15 18:47:53 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 18:47:53 - mmengine - INFO - Saving checkpoint at 2 epochs +2024/01/15 18:48:08 - mmengine - INFO - Epoch(val) [2][ 50/313] eta: 0:00:58 time: 0.2218 data_time: 0.0558 memory: 11099 +2024/01/15 18:48:18 - mmengine - INFO - Epoch(val) [2][100/313] eta: 0:00:44 time: 0.1992 data_time: 0.0340 memory: 2388 +2024/01/15 18:48:28 - mmengine - INFO - Epoch(val) [2][150/313] eta: 0:00:34 time: 0.2072 data_time: 0.0429 memory: 2431 +2024/01/15 18:48:39 - mmengine - INFO - Epoch(val) [2][200/313] eta: 0:00:23 time: 0.2079 data_time: 0.0396 memory: 2403 +2024/01/15 18:48:48 - mmengine - INFO - Epoch(val) [2][250/313] eta: 0:00:12 time: 0.1844 data_time: 0.0230 memory: 2431 +2024/01/15 18:48:58 - mmengine - INFO - Epoch(val) [2][300/313] eta: 0:00:02 time: 0.2053 data_time: 0.0401 memory: 2403 +2024/01/15 18:49:09 - mmengine - INFO - Evaluating bbox... +2024/01/15 18:49:38 - mmengine - INFO - bbox_mAP_copypaste: 0.392 0.634 0.430 0.246 0.434 0.519 +2024/01/15 18:49:38 - mmengine - INFO - Evaluating segm... +2024/01/15 18:50:11 - mmengine - INFO - segm_mAP_copypaste: 0.373 0.606 0.394 0.185 0.406 0.558 +2024/01/15 18:50:11 - mmengine - INFO - Epoch(val) [2][313/313] coco/bbox_mAP: 0.3920 coco/bbox_mAP_50: 0.6340 coco/bbox_mAP_75: 0.4300 coco/bbox_mAP_s: 0.2460 coco/bbox_mAP_m: 0.4340 coco/bbox_mAP_l: 0.5190 coco/segm_mAP: 0.3730 coco/segm_mAP_50: 0.6060 coco/segm_mAP_75: 0.3940 coco/segm_mAP_s: 0.1850 coco/segm_mAP_m: 0.4060 coco/segm_mAP_l: 0.5580 data_time: 0.0377 time: 0.2026 +2024/01/15 18:50:51 - mmengine - INFO - Epoch(train) [3][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:59:02 time: 0.7974 data_time: 0.0457 memory: 9734 loss: 0.7581 loss_rpn_cls: 0.0359 loss_rpn_bbox: 0.0455 loss_cls: 0.2174 acc: 95.1172 loss_bbox: 0.2396 loss_mask: 0.2196 +2024/01/15 18:51:30 - mmengine - INFO - Epoch(train) [3][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:58:12 time: 0.7823 data_time: 0.0323 memory: 9601 loss: 0.7845 loss_rpn_cls: 0.0321 loss_rpn_bbox: 0.0416 loss_cls: 0.2234 acc: 95.1172 loss_bbox: 0.2523 loss_mask: 0.2352 +2024/01/15 18:52:09 - mmengine - INFO - Epoch(train) [3][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:57:19 time: 0.7780 data_time: 0.0272 memory: 10067 loss: 0.7400 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0351 loss_cls: 0.1895 acc: 82.8125 loss_bbox: 0.2392 loss_mask: 0.2537 +2024/01/15 18:52:49 - mmengine - INFO - Epoch(train) [3][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:56:37 time: 0.7919 data_time: 0.0326 memory: 10067 loss: 0.7091 loss_rpn_cls: 0.0322 loss_rpn_bbox: 0.0420 loss_cls: 0.1873 acc: 96.6797 loss_bbox: 0.2408 loss_mask: 0.2068 +2024/01/15 18:53:29 - mmengine - INFO - Epoch(train) [3][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:56:03 time: 0.8008 data_time: 0.0297 memory: 10572 loss: 0.7617 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0433 loss_cls: 0.1982 acc: 95.1172 loss_bbox: 0.2524 loss_mask: 0.2403 +2024/01/15 18:54:09 - mmengine - INFO - Epoch(train) [3][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:55:26 time: 0.7976 data_time: 0.0296 memory: 9601 loss: 0.6901 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0316 loss_cls: 0.1846 acc: 86.9141 loss_bbox: 0.2374 loss_mask: 0.2129 +2024/01/15 18:54:40 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 18:54:48 - mmengine - INFO - Epoch(train) [3][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:54:37 time: 0.7832 data_time: 0.0264 memory: 10291 loss: 0.7758 loss_rpn_cls: 0.0307 loss_rpn_bbox: 0.0368 loss_cls: 0.2180 acc: 99.4141 loss_bbox: 0.2450 loss_mask: 0.2454 +2024/01/15 18:55:28 - mmengine - INFO - Epoch(train) [3][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:54:08 time: 0.8082 data_time: 0.0369 memory: 10131 loss: 0.8282 loss_rpn_cls: 0.0410 loss_rpn_bbox: 0.0383 loss_cls: 0.2279 acc: 87.1094 loss_bbox: 0.2772 loss_mask: 0.2438 +2024/01/15 18:56:09 - mmengine - INFO - Epoch(train) [3][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:53:38 time: 0.8058 data_time: 0.0327 memory: 10572 loss: 0.7798 loss_rpn_cls: 0.0305 loss_rpn_bbox: 0.0441 loss_cls: 0.2054 acc: 98.8281 loss_bbox: 0.2622 loss_mask: 0.2377 +2024/01/15 18:56:48 - mmengine - INFO - Epoch(train) [3][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:52:51 time: 0.7858 data_time: 0.0335 memory: 10572 loss: 0.8254 loss_rpn_cls: 0.0301 loss_rpn_bbox: 0.0399 loss_cls: 0.2217 acc: 91.9922 loss_bbox: 0.2853 loss_mask: 0.2484 +2024/01/15 18:57:27 - mmengine - INFO - Epoch(train) [3][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:52:02 time: 0.7823 data_time: 0.0289 memory: 9466 loss: 0.7154 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0322 loss_cls: 0.1838 acc: 94.7266 loss_bbox: 0.2373 loss_mask: 0.2333 +2024/01/15 18:58:07 - mmengine - INFO - Epoch(train) [3][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:51:21 time: 0.7935 data_time: 0.0305 memory: 10593 loss: 0.7264 loss_rpn_cls: 0.0287 loss_rpn_bbox: 0.0375 loss_cls: 0.1971 acc: 94.3359 loss_bbox: 0.2421 loss_mask: 0.2209 +2024/01/15 18:58:46 - mmengine - INFO - Epoch(train) [3][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:50:36 time: 0.7868 data_time: 0.0320 memory: 10497 loss: 0.7269 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0384 loss_cls: 0.1908 acc: 95.3125 loss_bbox: 0.2455 loss_mask: 0.2241 +2024/01/15 18:59:25 - mmengine - INFO - Epoch(train) [3][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:49:43 time: 0.7786 data_time: 0.0310 memory: 10361 loss: 0.6574 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0339 loss_cls: 0.1658 acc: 96.4844 loss_bbox: 0.2216 loss_mask: 0.2157 +2024/01/15 19:00:04 - mmengine - INFO - Epoch(train) [3][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:48:54 time: 0.7828 data_time: 0.0293 memory: 10583 loss: 0.7622 loss_rpn_cls: 0.0298 loss_rpn_bbox: 0.0409 loss_cls: 0.2015 acc: 95.7031 loss_bbox: 0.2428 loss_mask: 0.2471 +2024/01/15 19:00:43 - mmengine - INFO - Epoch(train) [3][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:48:10 time: 0.7883 data_time: 0.0329 memory: 9570 loss: 0.7512 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0402 loss_cls: 0.1967 acc: 98.4375 loss_bbox: 0.2508 loss_mask: 0.2390 +2024/01/15 19:01:23 - mmengine - INFO - Epoch(train) [3][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:47:34 time: 0.7991 data_time: 0.0350 memory: 10364 loss: 0.7605 loss_rpn_cls: 0.0366 loss_rpn_bbox: 0.0468 loss_cls: 0.2070 acc: 96.4844 loss_bbox: 0.2479 loss_mask: 0.2223 +2024/01/15 19:02:02 - mmengine - INFO - Epoch(train) [3][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:46:43 time: 0.7805 data_time: 0.0306 memory: 9049 loss: 0.7769 loss_rpn_cls: 0.0289 loss_rpn_bbox: 0.0385 loss_cls: 0.2232 acc: 98.8281 loss_bbox: 0.2718 loss_mask: 0.2144 +2024/01/15 19:02:42 - mmengine - INFO - Epoch(train) [3][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:45:57 time: 0.7862 data_time: 0.0349 memory: 11026 loss: 0.8234 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0464 loss_cls: 0.2209 acc: 97.0703 loss_bbox: 0.2743 loss_mask: 0.2486 +2024/01/15 19:03:22 - mmengine - INFO - Epoch(train) [3][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:45:28 time: 0.8074 data_time: 0.0305 memory: 10231 loss: 0.7700 loss_rpn_cls: 0.0362 loss_rpn_bbox: 0.0440 loss_cls: 0.2106 acc: 99.2188 loss_bbox: 0.2650 loss_mask: 0.2143 +2024/01/15 19:04:03 - mmengine - INFO - Epoch(train) [3][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:45:05 time: 0.8149 data_time: 0.0303 memory: 10625 loss: 0.7094 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0388 loss_cls: 0.1860 acc: 85.5469 loss_bbox: 0.2402 loss_mask: 0.2214 +2024/01/15 19:04:42 - mmengine - INFO - Epoch(train) [3][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:44:24 time: 0.7922 data_time: 0.0320 memory: 9601 loss: 0.7515 loss_rpn_cls: 0.0250 loss_rpn_bbox: 0.0419 loss_cls: 0.2108 acc: 78.3203 loss_bbox: 0.2346 loss_mask: 0.2392 +2024/01/15 19:05:21 - mmengine - INFO - Epoch(train) [3][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:43:24 time: 0.7684 data_time: 0.0312 memory: 9850 loss: 0.7606 loss_rpn_cls: 0.0333 loss_rpn_bbox: 0.0439 loss_cls: 0.1893 acc: 88.4766 loss_bbox: 0.2560 loss_mask: 0.2381 +2024/01/15 19:06:01 - mmengine - INFO - Epoch(train) [3][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:42:45 time: 0.7954 data_time: 0.0329 memory: 10572 loss: 0.8059 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0336 loss_cls: 0.2149 acc: 96.8750 loss_bbox: 0.2885 loss_mask: 0.2455 +2024/01/15 19:06:41 - mmengine - INFO - Epoch(train) [3][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:42:10 time: 0.8005 data_time: 0.0332 memory: 9462 loss: 0.8210 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0409 loss_cls: 0.2219 acc: 91.6016 loss_bbox: 0.2660 loss_mask: 0.2590 +2024/01/15 19:07:21 - mmengine - INFO - Epoch(train) [3][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:41:34 time: 0.7985 data_time: 0.0280 memory: 10986 loss: 0.7283 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0300 loss_cls: 0.2065 acc: 94.3359 loss_bbox: 0.2256 loss_mask: 0.2376 +2024/01/15 19:07:53 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 19:08:01 - mmengine - INFO - Epoch(train) [3][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:41:01 time: 0.8026 data_time: 0.0387 memory: 10067 loss: 0.8559 loss_rpn_cls: 0.0387 loss_rpn_bbox: 0.0480 loss_cls: 0.2324 acc: 92.7734 loss_bbox: 0.2805 loss_mask: 0.2563 +2024/01/15 19:08:41 - mmengine - INFO - Epoch(train) [3][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:40:26 time: 0.8003 data_time: 0.0381 memory: 10239 loss: 0.7925 loss_rpn_cls: 0.0411 loss_rpn_bbox: 0.0448 loss_cls: 0.2294 acc: 78.7109 loss_bbox: 0.2455 loss_mask: 0.2317 +2024/01/15 19:09:21 - mmengine - INFO - Epoch(train) [3][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:39:47 time: 0.7954 data_time: 0.0335 memory: 10572 loss: 0.8324 loss_rpn_cls: 0.0382 loss_rpn_bbox: 0.0475 loss_cls: 0.2243 acc: 97.8516 loss_bbox: 0.2680 loss_mask: 0.2544 +2024/01/15 19:10:01 - mmengine - INFO - Epoch(train) [3][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:39:23 time: 0.8149 data_time: 0.0354 memory: 10252 loss: 0.8144 loss_rpn_cls: 0.0336 loss_rpn_bbox: 0.0442 loss_cls: 0.2269 acc: 93.5547 loss_bbox: 0.2605 loss_mask: 0.2492 +2024/01/15 19:10:41 - mmengine - INFO - Epoch(train) [3][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:38:40 time: 0.7897 data_time: 0.0385 memory: 9109 loss: 0.7751 loss_rpn_cls: 0.0343 loss_rpn_bbox: 0.0423 loss_cls: 0.2012 acc: 81.4453 loss_bbox: 0.2633 loss_mask: 0.2341 +2024/01/15 19:11:21 - mmengine - INFO - Epoch(train) [3][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:38:00 time: 0.7945 data_time: 0.0303 memory: 10081 loss: 0.7482 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0451 loss_cls: 0.1869 acc: 97.0703 loss_bbox: 0.2413 loss_mask: 0.2484 +2024/01/15 19:12:00 - mmengine - INFO - Epoch(train) [3][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:37:16 time: 0.7883 data_time: 0.0351 memory: 9806 loss: 0.7682 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0462 loss_cls: 0.2106 acc: 84.5703 loss_bbox: 0.2620 loss_mask: 0.2195 +2024/01/15 19:12:38 - mmengine - INFO - Epoch(train) [3][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:36:18 time: 0.7704 data_time: 0.0345 memory: 10466 loss: 0.8549 loss_rpn_cls: 0.0414 loss_rpn_bbox: 0.0391 loss_cls: 0.2580 acc: 96.8750 loss_bbox: 0.2887 loss_mask: 0.2278 +2024/01/15 19:13:18 - mmengine - INFO - Epoch(train) [3][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:35:31 time: 0.7838 data_time: 0.0334 memory: 10256 loss: 0.7860 loss_rpn_cls: 0.0332 loss_rpn_bbox: 0.0402 loss_cls: 0.2069 acc: 98.6328 loss_bbox: 0.2530 loss_mask: 0.2528 +2024/01/15 19:13:57 - mmengine - INFO - Epoch(train) [3][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:34:51 time: 0.7942 data_time: 0.0331 memory: 9847 loss: 0.7855 loss_rpn_cls: 0.0298 loss_rpn_bbox: 0.0343 loss_cls: 0.2042 acc: 97.2656 loss_bbox: 0.2770 loss_mask: 0.2401 +2024/01/15 19:14:36 - mmengine - INFO - Epoch(train) [3][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:34:01 time: 0.7800 data_time: 0.0284 memory: 10572 loss: 0.7275 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0366 loss_cls: 0.1973 acc: 95.8984 loss_bbox: 0.2382 loss_mask: 0.2300 +2024/01/15 19:15:16 - mmengine - INFO - Epoch(train) [3][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:33:15 time: 0.7862 data_time: 0.0318 memory: 10152 loss: 0.8354 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0395 loss_cls: 0.2422 acc: 98.2422 loss_bbox: 0.2873 loss_mask: 0.2341 +2024/01/15 19:15:55 - mmengine - INFO - Epoch(train) [3][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:32:33 time: 0.7913 data_time: 0.0256 memory: 11099 loss: 0.6503 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0357 loss_cls: 0.1633 acc: 96.8750 loss_bbox: 0.2014 loss_mask: 0.2289 +2024/01/15 19:16:35 - mmengine - INFO - Epoch(train) [3][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:31:50 time: 0.7890 data_time: 0.0310 memory: 9800 loss: 0.8635 loss_rpn_cls: 0.0397 loss_rpn_bbox: 0.0374 loss_cls: 0.2368 acc: 91.6016 loss_bbox: 0.2719 loss_mask: 0.2776 +2024/01/15 19:17:14 - mmengine - INFO - Epoch(train) [3][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:31:02 time: 0.7835 data_time: 0.0311 memory: 11095 loss: 0.8247 loss_rpn_cls: 0.0319 loss_rpn_bbox: 0.0427 loss_cls: 0.2256 acc: 90.0391 loss_bbox: 0.2788 loss_mask: 0.2458 +2024/01/15 19:17:53 - mmengine - INFO - Epoch(train) [3][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:30:11 time: 0.7787 data_time: 0.0315 memory: 10411 loss: 0.8415 loss_rpn_cls: 0.0491 loss_rpn_bbox: 0.0486 loss_cls: 0.2325 acc: 96.2891 loss_bbox: 0.2582 loss_mask: 0.2531 +2024/01/15 19:18:33 - mmengine - INFO - Epoch(train) [3][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:29:39 time: 0.8038 data_time: 0.0331 memory: 10087 loss: 0.7849 loss_rpn_cls: 0.0351 loss_rpn_bbox: 0.0412 loss_cls: 0.1872 acc: 93.9453 loss_bbox: 0.2564 loss_mask: 0.2650 +2024/01/15 19:19:12 - mmengine - INFO - Epoch(train) [3][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:28:54 time: 0.7868 data_time: 0.0350 memory: 10541 loss: 0.7449 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0430 loss_cls: 0.1920 acc: 91.6016 loss_bbox: 0.2397 loss_mask: 0.2430 +2024/01/15 19:19:52 - mmengine - INFO - Epoch(train) [3][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:28:07 time: 0.7849 data_time: 0.0243 memory: 8946 loss: 0.6971 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0325 loss_cls: 0.1785 acc: 93.9453 loss_bbox: 0.2302 loss_mask: 0.2329 +2024/01/15 19:20:31 - mmengine - INFO - Epoch(train) [3][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:27:25 time: 0.7906 data_time: 0.0327 memory: 10789 loss: 0.8117 loss_rpn_cls: 0.0429 loss_rpn_bbox: 0.0448 loss_cls: 0.2239 acc: 93.1641 loss_bbox: 0.2715 loss_mask: 0.2285 +2024/01/15 19:21:02 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 19:21:10 - mmengine - INFO - Epoch(train) [3][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:26:28 time: 0.7706 data_time: 0.0336 memory: 10872 loss: 0.8383 loss_rpn_cls: 0.0408 loss_rpn_bbox: 0.0504 loss_cls: 0.2195 acc: 95.3125 loss_bbox: 0.2795 loss_mask: 0.2481 +2024/01/15 19:21:49 - mmengine - INFO - Epoch(train) [3][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:25:44 time: 0.7872 data_time: 0.0268 memory: 10067 loss: 0.6969 loss_rpn_cls: 0.0415 loss_rpn_bbox: 0.0427 loss_cls: 0.1868 acc: 84.9609 loss_bbox: 0.2212 loss_mask: 0.2047 +2024/01/15 19:22:28 - mmengine - INFO - Epoch(train) [3][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:24:52 time: 0.7765 data_time: 0.0280 memory: 10067 loss: 0.7289 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0307 loss_cls: 0.1942 acc: 98.0469 loss_bbox: 0.2449 loss_mask: 0.2293 +2024/01/15 19:23:07 - mmengine - INFO - Epoch(train) [3][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:24:09 time: 0.7896 data_time: 0.0295 memory: 11102 loss: 0.7202 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0438 loss_cls: 0.1803 acc: 83.5938 loss_bbox: 0.2370 loss_mask: 0.2324 +2024/01/15 19:23:47 - mmengine - INFO - Epoch(train) [3][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:23:26 time: 0.7887 data_time: 0.0288 memory: 8616 loss: 0.8126 loss_rpn_cls: 0.0371 loss_rpn_bbox: 0.0420 loss_cls: 0.2134 acc: 99.8047 loss_bbox: 0.2505 loss_mask: 0.2696 +2024/01/15 19:24:26 - mmengine - INFO - Epoch(train) [3][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:22:45 time: 0.7930 data_time: 0.0287 memory: 10114 loss: 0.6767 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0328 loss_cls: 0.1781 acc: 94.5312 loss_bbox: 0.2178 loss_mask: 0.2215 +2024/01/15 19:25:07 - mmengine - INFO - Epoch(train) [3][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:22:16 time: 0.8085 data_time: 0.0331 memory: 9673 loss: 0.7839 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0384 loss_cls: 0.2043 acc: 97.8516 loss_bbox: 0.2690 loss_mask: 0.2451 +2024/01/15 19:25:47 - mmengine - INFO - Epoch(train) [3][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:21:48 time: 0.8097 data_time: 0.0363 memory: 11517 loss: 0.7638 loss_rpn_cls: 0.0292 loss_rpn_bbox: 0.0454 loss_cls: 0.2089 acc: 96.4844 loss_bbox: 0.2425 loss_mask: 0.2378 +2024/01/15 19:26:27 - mmengine - INFO - Epoch(train) [3][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:21:05 time: 0.7891 data_time: 0.0361 memory: 9739 loss: 0.8293 loss_rpn_cls: 0.0488 loss_rpn_bbox: 0.0530 loss_cls: 0.2238 acc: 96.6797 loss_bbox: 0.2720 loss_mask: 0.2318 +2024/01/15 19:27:06 - mmengine - INFO - Epoch(train) [3][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:20:22 time: 0.7899 data_time: 0.0343 memory: 10204 loss: 0.8406 loss_rpn_cls: 0.0306 loss_rpn_bbox: 0.0475 loss_cls: 0.2214 acc: 89.2578 loss_bbox: 0.2808 loss_mask: 0.2602 +2024/01/15 19:27:45 - mmengine - INFO - Epoch(train) [3][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:19:24 time: 0.7670 data_time: 0.0307 memory: 9411 loss: 0.7546 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0369 loss_cls: 0.2167 acc: 96.4844 loss_bbox: 0.2492 loss_mask: 0.2238 +2024/01/15 19:28:24 - mmengine - INFO - Epoch(train) [3][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:18:45 time: 0.7956 data_time: 0.0294 memory: 9756 loss: 0.7603 loss_rpn_cls: 0.0329 loss_rpn_bbox: 0.0442 loss_cls: 0.2003 acc: 100.0000 loss_bbox: 0.2449 loss_mask: 0.2380 +2024/01/15 19:29:04 - mmengine - INFO - Epoch(train) [3][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:18:07 time: 0.7953 data_time: 0.0280 memory: 9267 loss: 0.7840 loss_rpn_cls: 0.0330 loss_rpn_bbox: 0.0296 loss_cls: 0.2198 acc: 99.4141 loss_bbox: 0.2563 loss_mask: 0.2453 +2024/01/15 19:29:44 - mmengine - INFO - Epoch(train) [3][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:17:29 time: 0.7966 data_time: 0.0360 memory: 10930 loss: 0.8171 loss_rpn_cls: 0.0308 loss_rpn_bbox: 0.0360 loss_cls: 0.2188 acc: 87.3047 loss_bbox: 0.2615 loss_mask: 0.2700 +2024/01/15 19:30:23 - mmengine - INFO - Epoch(train) [3][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:16:35 time: 0.7738 data_time: 0.0323 memory: 9804 loss: 0.8131 loss_rpn_cls: 0.0354 loss_rpn_bbox: 0.0428 loss_cls: 0.2230 acc: 96.6797 loss_bbox: 0.2720 loss_mask: 0.2399 +2024/01/15 19:31:02 - mmengine - INFO - Epoch(train) [3][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:15:43 time: 0.7759 data_time: 0.0276 memory: 10725 loss: 0.6976 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0330 loss_cls: 0.1885 acc: 94.5312 loss_bbox: 0.2353 loss_mask: 0.2184 +2024/01/15 19:31:41 - mmengine - INFO - Epoch(train) [3][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:15:03 time: 0.7928 data_time: 0.0359 memory: 9134 loss: 0.9022 loss_rpn_cls: 0.0479 loss_rpn_bbox: 0.0469 loss_cls: 0.2392 acc: 88.4766 loss_bbox: 0.2943 loss_mask: 0.2739 +2024/01/15 19:32:20 - mmengine - INFO - Epoch(train) [3][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:14:18 time: 0.7867 data_time: 0.0301 memory: 9459 loss: 0.6740 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0334 loss_cls: 0.1822 acc: 90.2344 loss_bbox: 0.2121 loss_mask: 0.2206 +2024/01/15 19:33:00 - mmengine - INFO - Epoch(train) [3][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:13:39 time: 0.7939 data_time: 0.0355 memory: 10308 loss: 0.7787 loss_rpn_cls: 0.0398 loss_rpn_bbox: 0.0401 loss_cls: 0.2106 acc: 90.6250 loss_bbox: 0.2475 loss_mask: 0.2406 +2024/01/15 19:33:39 - mmengine - INFO - Epoch(train) [3][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:12:50 time: 0.7808 data_time: 0.0284 memory: 9329 loss: 0.7291 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0336 loss_cls: 0.1878 acc: 98.8281 loss_bbox: 0.2415 loss_mask: 0.2366 +2024/01/15 19:34:11 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 19:34:19 - mmengine - INFO - Epoch(train) [3][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:12:06 time: 0.7873 data_time: 0.0287 memory: 10067 loss: 0.7496 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0333 loss_cls: 0.2135 acc: 82.8125 loss_bbox: 0.2284 loss_mask: 0.2431 +2024/01/15 19:34:58 - mmengine - INFO - Epoch(train) [3][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:11:18 time: 0.7808 data_time: 0.0274 memory: 10572 loss: 0.7000 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0334 loss_cls: 0.1898 acc: 98.6328 loss_bbox: 0.2264 loss_mask: 0.2217 +2024/01/15 19:35:37 - mmengine - INFO - Epoch(train) [3][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:10:37 time: 0.7915 data_time: 0.0331 memory: 10568 loss: 0.8286 loss_rpn_cls: 0.0373 loss_rpn_bbox: 0.0460 loss_cls: 0.2152 acc: 96.2891 loss_bbox: 0.2753 loss_mask: 0.2547 +2024/01/15 19:36:17 - mmengine - INFO - Epoch(train) [3][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:09:53 time: 0.7874 data_time: 0.0289 memory: 10535 loss: 0.6955 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0319 loss_cls: 0.1992 acc: 83.7891 loss_bbox: 0.2299 loss_mask: 0.2121 +2024/01/15 19:36:56 - mmengine - INFO - Epoch(train) [3][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:09:06 time: 0.7831 data_time: 0.0422 memory: 10572 loss: 0.8493 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0453 loss_cls: 0.2125 acc: 96.6797 loss_bbox: 0.2553 loss_mask: 0.3097 +2024/01/15 19:37:36 - mmengine - INFO - Epoch(train) [3][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:08:29 time: 0.7978 data_time: 0.0269 memory: 9601 loss: 0.6011 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0272 loss_cls: 0.1588 acc: 89.8438 loss_bbox: 0.1845 loss_mask: 0.2089 +2024/01/15 19:38:16 - mmengine - INFO - Epoch(train) [3][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:08:04 time: 0.8145 data_time: 0.0344 memory: 10113 loss: 0.8226 loss_rpn_cls: 0.0374 loss_rpn_bbox: 0.0422 loss_cls: 0.2120 acc: 98.2422 loss_bbox: 0.2686 loss_mask: 0.2624 +2024/01/15 19:38:57 - mmengine - INFO - Epoch(train) [3][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:07:30 time: 0.8024 data_time: 0.0323 memory: 10788 loss: 0.8241 loss_rpn_cls: 0.0362 loss_rpn_bbox: 0.0494 loss_cls: 0.2158 acc: 94.3359 loss_bbox: 0.2727 loss_mask: 0.2500 +2024/01/15 19:39:37 - mmengine - INFO - Epoch(train) [3][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:07:04 time: 0.8148 data_time: 0.0304 memory: 10986 loss: 0.7599 loss_rpn_cls: 0.0416 loss_rpn_bbox: 0.0388 loss_cls: 0.2115 acc: 83.5938 loss_bbox: 0.2303 loss_mask: 0.2378 +2024/01/15 19:40:17 - mmengine - INFO - Epoch(train) [3][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:06:20 time: 0.7867 data_time: 0.0301 memory: 11099 loss: 0.7787 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0383 loss_cls: 0.2071 acc: 94.3359 loss_bbox: 0.2660 loss_mask: 0.2368 +2024/01/15 19:40:56 - mmengine - INFO - Epoch(train) [3][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:05:33 time: 0.7828 data_time: 0.0323 memory: 10948 loss: 0.7509 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0351 loss_cls: 0.1961 acc: 92.1875 loss_bbox: 0.2470 loss_mask: 0.2397 +2024/01/15 19:41:35 - mmengine - INFO - Epoch(train) [3][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:04:53 time: 0.7928 data_time: 0.0262 memory: 9719 loss: 0.6847 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0316 loss_cls: 0.1715 acc: 89.8438 loss_bbox: 0.2177 loss_mask: 0.2395 +2024/01/15 19:42:15 - mmengine - INFO - Epoch(train) [3][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:04:14 time: 0.7940 data_time: 0.0321 memory: 11102 loss: 0.8009 loss_rpn_cls: 0.0299 loss_rpn_bbox: 0.0424 loss_cls: 0.2089 acc: 91.6016 loss_bbox: 0.2713 loss_mask: 0.2483 +2024/01/15 19:42:54 - mmengine - INFO - Epoch(train) [3][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:03:22 time: 0.7749 data_time: 0.0302 memory: 10408 loss: 0.7202 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0335 loss_cls: 0.1922 acc: 95.1172 loss_bbox: 0.2317 loss_mask: 0.2362 +2024/01/15 19:43:34 - mmengine - INFO - Epoch(train) [3][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:02:53 time: 0.8111 data_time: 0.0335 memory: 10572 loss: 0.7425 loss_rpn_cls: 0.0307 loss_rpn_bbox: 0.0399 loss_cls: 0.2065 acc: 98.0469 loss_bbox: 0.2493 loss_mask: 0.2162 +2024/01/15 19:44:14 - mmengine - INFO - Epoch(train) [3][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:02:10 time: 0.7881 data_time: 0.0327 memory: 10192 loss: 0.8888 loss_rpn_cls: 0.0417 loss_rpn_bbox: 0.0470 loss_cls: 0.2432 acc: 99.4141 loss_bbox: 0.3049 loss_mask: 0.2520 +2024/01/15 19:44:53 - mmengine - INFO - Epoch(train) [3][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:01:25 time: 0.7847 data_time: 0.0320 memory: 10572 loss: 0.8117 loss_rpn_cls: 0.0419 loss_rpn_bbox: 0.0467 loss_cls: 0.2224 acc: 97.6562 loss_bbox: 0.2628 loss_mask: 0.2379 +2024/01/15 19:45:32 - mmengine - INFO - Epoch(train) [3][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:00:40 time: 0.7866 data_time: 0.0339 memory: 10583 loss: 0.7346 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0298 loss_cls: 0.2061 acc: 97.0703 loss_bbox: 0.2541 loss_mask: 0.2205 +2024/01/15 19:46:12 - mmengine - INFO - Epoch(train) [3][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 6:00:06 time: 0.8013 data_time: 0.0332 memory: 10787 loss: 0.7742 loss_rpn_cls: 0.0305 loss_rpn_bbox: 0.0442 loss_cls: 0.2267 acc: 97.8516 loss_bbox: 0.2509 loss_mask: 0.2219 +2024/01/15 19:46:53 - mmengine - INFO - Epoch(train) [3][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:59:35 time: 0.8075 data_time: 0.0343 memory: 10081 loss: 0.9040 loss_rpn_cls: 0.0450 loss_rpn_bbox: 0.0499 loss_cls: 0.2324 acc: 90.6250 loss_bbox: 0.2999 loss_mask: 0.2767 +2024/01/15 19:47:25 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 19:47:33 - mmengine - INFO - Epoch(train) [3][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:59:05 time: 0.8082 data_time: 0.0340 memory: 9949 loss: 0.7847 loss_rpn_cls: 0.0391 loss_rpn_bbox: 0.0456 loss_cls: 0.2019 acc: 96.0938 loss_bbox: 0.2549 loss_mask: 0.2432 +2024/01/15 19:48:14 - mmengine - INFO - Epoch(train) [3][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:58:39 time: 0.8151 data_time: 0.0361 memory: 10067 loss: 0.8424 loss_rpn_cls: 0.0385 loss_rpn_bbox: 0.0501 loss_cls: 0.2246 acc: 98.6328 loss_bbox: 0.2709 loss_mask: 0.2582 +2024/01/15 19:48:55 - mmengine - INFO - Epoch(train) [3][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:58:12 time: 0.8143 data_time: 0.0317 memory: 10572 loss: 0.6852 loss_rpn_cls: 0.0369 loss_rpn_bbox: 0.0343 loss_cls: 0.1828 acc: 85.5469 loss_bbox: 0.2219 loss_mask: 0.2092 +2024/01/15 19:49:34 - mmengine - INFO - Epoch(train) [3][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:57:32 time: 0.7929 data_time: 0.0313 memory: 10171 loss: 0.6974 loss_rpn_cls: 0.0278 loss_rpn_bbox: 0.0397 loss_cls: 0.1890 acc: 98.4375 loss_bbox: 0.2293 loss_mask: 0.2117 +2024/01/15 19:50:14 - mmengine - INFO - Epoch(train) [3][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:56:52 time: 0.7925 data_time: 0.0381 memory: 11517 loss: 0.7054 loss_rpn_cls: 0.0342 loss_rpn_bbox: 0.0393 loss_cls: 0.1816 acc: 99.2188 loss_bbox: 0.2345 loss_mask: 0.2158 +2024/01/15 19:50:53 - mmengine - INFO - Epoch(train) [3][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:56:04 time: 0.7808 data_time: 0.0255 memory: 10087 loss: 0.6776 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0356 loss_cls: 0.1869 acc: 99.0234 loss_bbox: 0.2119 loss_mask: 0.2174 +2024/01/15 19:51:32 - mmengine - INFO - Epoch(train) [3][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:55:19 time: 0.7859 data_time: 0.0305 memory: 11099 loss: 0.7348 loss_rpn_cls: 0.0338 loss_rpn_bbox: 0.0366 loss_cls: 0.1904 acc: 99.8047 loss_bbox: 0.2289 loss_mask: 0.2451 +2024/01/15 19:52:13 - mmengine - INFO - Epoch(train) [3][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:54:46 time: 0.8047 data_time: 0.0343 memory: 9420 loss: 0.7745 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0442 loss_cls: 0.2094 acc: 93.9453 loss_bbox: 0.2588 loss_mask: 0.2370 +2024/01/15 19:52:52 - mmengine - INFO - Epoch(train) [3][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:53:59 time: 0.7815 data_time: 0.0372 memory: 9949 loss: 0.7315 loss_rpn_cls: 0.0292 loss_rpn_bbox: 0.0427 loss_cls: 0.1965 acc: 94.3359 loss_bbox: 0.2392 loss_mask: 0.2239 +2024/01/15 19:53:31 - mmengine - INFO - Epoch(train) [3][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:53:20 time: 0.7948 data_time: 0.0347 memory: 9570 loss: 0.7954 loss_rpn_cls: 0.0329 loss_rpn_bbox: 0.0466 loss_cls: 0.2044 acc: 99.6094 loss_bbox: 0.2739 loss_mask: 0.2377 +2024/01/15 19:54:11 - mmengine - INFO - Epoch(train) [3][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:52:36 time: 0.7878 data_time: 0.0277 memory: 9995 loss: 0.8206 loss_rpn_cls: 0.0377 loss_rpn_bbox: 0.0356 loss_cls: 0.2219 acc: 99.8047 loss_bbox: 0.2477 loss_mask: 0.2776 +2024/01/15 19:54:50 - mmengine - INFO - Epoch(train) [3][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:51:49 time: 0.7818 data_time: 0.0277 memory: 9489 loss: 0.8391 loss_rpn_cls: 0.0430 loss_rpn_bbox: 0.0412 loss_cls: 0.2252 acc: 81.0547 loss_bbox: 0.2597 loss_mask: 0.2701 +2024/01/15 19:55:30 - mmengine - INFO - Epoch(train) [3][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:51:18 time: 0.8078 data_time: 0.0303 memory: 10067 loss: 0.8365 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0407 loss_cls: 0.2295 acc: 86.7188 loss_bbox: 0.2810 loss_mask: 0.2580 +2024/01/15 19:56:10 - mmengine - INFO - Epoch(train) [3][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:50:35 time: 0.7882 data_time: 0.0323 memory: 10572 loss: 0.7390 loss_rpn_cls: 0.0408 loss_rpn_bbox: 0.0362 loss_cls: 0.1980 acc: 91.7969 loss_bbox: 0.2410 loss_mask: 0.2231 +2024/01/15 19:56:48 - mmengine - INFO - Epoch(train) [3][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:49:43 time: 0.7735 data_time: 0.0392 memory: 9949 loss: 0.8643 loss_rpn_cls: 0.0351 loss_rpn_bbox: 0.0575 loss_cls: 0.2351 acc: 88.8672 loss_bbox: 0.2910 loss_mask: 0.2457 +2024/01/15 19:57:28 - mmengine - INFO - Epoch(train) [3][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:48:59 time: 0.7862 data_time: 0.0385 memory: 9599 loss: 0.7636 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0368 loss_cls: 0.2111 acc: 97.6562 loss_bbox: 0.2569 loss_mask: 0.2305 +2024/01/15 19:58:07 - mmengine - INFO - Epoch(train) [3][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:48:16 time: 0.7887 data_time: 0.0321 memory: 9459 loss: 0.5956 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0227 loss_cls: 0.1703 acc: 96.0938 loss_bbox: 0.1813 loss_mask: 0.1985 +2024/01/15 19:58:47 - mmengine - INFO - Epoch(train) [3][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:47:44 time: 0.8062 data_time: 0.0302 memory: 10205 loss: 0.7878 loss_rpn_cls: 0.0355 loss_rpn_bbox: 0.0416 loss_cls: 0.2220 acc: 97.6562 loss_bbox: 0.2548 loss_mask: 0.2340 +2024/01/15 19:59:27 - mmengine - INFO - Epoch(train) [3][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:47:04 time: 0.7928 data_time: 0.0371 memory: 9601 loss: 0.8196 loss_rpn_cls: 0.0382 loss_rpn_bbox: 0.0432 loss_cls: 0.2383 acc: 79.1016 loss_bbox: 0.2698 loss_mask: 0.2302 +2024/01/15 20:00:07 - mmengine - INFO - Epoch(train) [3][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:46:33 time: 0.8074 data_time: 0.0373 memory: 10067 loss: 0.8414 loss_rpn_cls: 0.0388 loss_rpn_bbox: 0.0532 loss_cls: 0.2196 acc: 84.3750 loss_bbox: 0.2717 loss_mask: 0.2580 +2024/01/15 20:00:39 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 20:00:47 - mmengine - INFO - Epoch(train) [3][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:45:53 time: 0.7937 data_time: 0.0385 memory: 9179 loss: 0.8280 loss_rpn_cls: 0.0484 loss_rpn_bbox: 0.0546 loss_cls: 0.2195 acc: 90.6250 loss_bbox: 0.2601 loss_mask: 0.2453 +2024/01/15 20:01:27 - mmengine - INFO - Epoch(train) [3][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:45:16 time: 0.7979 data_time: 0.0328 memory: 9949 loss: 0.9324 loss_rpn_cls: 0.0394 loss_rpn_bbox: 0.0558 loss_cls: 0.2584 acc: 99.8047 loss_bbox: 0.3010 loss_mask: 0.2778 +2024/01/15 20:02:07 - mmengine - INFO - Epoch(train) [3][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:44:37 time: 0.7944 data_time: 0.0345 memory: 10572 loss: 0.7142 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0345 loss_cls: 0.1903 acc: 85.3516 loss_bbox: 0.2427 loss_mask: 0.2235 +2024/01/15 20:02:46 - mmengine - INFO - Epoch(train) [3][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:43:53 time: 0.7872 data_time: 0.0321 memory: 10862 loss: 0.7787 loss_rpn_cls: 0.0366 loss_rpn_bbox: 0.0454 loss_cls: 0.2025 acc: 96.0938 loss_bbox: 0.2497 loss_mask: 0.2445 +2024/01/15 20:03:25 - mmengine - INFO - Epoch(train) [3][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:43:08 time: 0.7845 data_time: 0.0328 memory: 10310 loss: 0.7184 loss_rpn_cls: 0.0364 loss_rpn_bbox: 0.0375 loss_cls: 0.1804 acc: 97.4609 loss_bbox: 0.2391 loss_mask: 0.2249 +2024/01/15 20:04:05 - mmengine - INFO - Epoch(train) [3][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:42:24 time: 0.7857 data_time: 0.0340 memory: 11102 loss: 0.8115 loss_rpn_cls: 0.0436 loss_rpn_bbox: 0.0446 loss_cls: 0.2203 acc: 89.8438 loss_bbox: 0.2723 loss_mask: 0.2307 +2024/01/15 20:04:44 - mmengine - INFO - Epoch(train) [3][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:41:43 time: 0.7919 data_time: 0.0379 memory: 10067 loss: 0.8463 loss_rpn_cls: 0.0362 loss_rpn_bbox: 0.0442 loss_cls: 0.2463 acc: 86.9141 loss_bbox: 0.2814 loss_mask: 0.2381 +2024/01/15 20:05:24 - mmengine - INFO - Epoch(train) [3][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:41:04 time: 0.7956 data_time: 0.0328 memory: 10788 loss: 0.6645 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0347 loss_cls: 0.1773 acc: 99.0234 loss_bbox: 0.2125 loss_mask: 0.2120 +2024/01/15 20:06:04 - mmengine - INFO - Epoch(train) [3][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:40:24 time: 0.7934 data_time: 0.0323 memory: 9734 loss: 0.8156 loss_rpn_cls: 0.0381 loss_rpn_bbox: 0.0478 loss_cls: 0.2231 acc: 99.4141 loss_bbox: 0.2593 loss_mask: 0.2473 +2024/01/15 20:06:43 - mmengine - INFO - Epoch(train) [3][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:39:42 time: 0.7888 data_time: 0.0317 memory: 10571 loss: 0.7354 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0325 loss_cls: 0.2031 acc: 77.1484 loss_bbox: 0.2514 loss_mask: 0.2295 +2024/01/15 20:07:22 - mmengine - INFO - Epoch(train) [3][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:38:49 time: 0.7720 data_time: 0.0335 memory: 10469 loss: 0.7448 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0314 loss_cls: 0.1933 acc: 89.0625 loss_bbox: 0.2659 loss_mask: 0.2295 +2024/01/15 20:08:01 - mmengine - INFO - Epoch(train) [3][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:38:07 time: 0.7888 data_time: 0.0331 memory: 10163 loss: 0.7456 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0385 loss_cls: 0.2118 acc: 99.0234 loss_bbox: 0.2403 loss_mask: 0.2253 +2024/01/15 20:08:41 - mmengine - INFO - Epoch(train) [3][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:37:27 time: 0.7931 data_time: 0.0275 memory: 10067 loss: 0.6584 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0355 loss_cls: 0.1718 acc: 93.5547 loss_bbox: 0.2065 loss_mask: 0.2162 +2024/01/15 20:09:21 - mmengine - INFO - Epoch(train) [3][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:36:59 time: 0.8130 data_time: 0.0327 memory: 10067 loss: 0.7672 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0372 loss_cls: 0.2216 acc: 95.5078 loss_bbox: 0.2608 loss_mask: 0.2176 +2024/01/15 20:10:01 - mmengine - INFO - Epoch(train) [3][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:36:15 time: 0.7871 data_time: 0.0338 memory: 10067 loss: 0.7314 loss_rpn_cls: 0.0330 loss_rpn_bbox: 0.0422 loss_cls: 0.2090 acc: 89.8438 loss_bbox: 0.2400 loss_mask: 0.2072 +2024/01/15 20:10:40 - mmengine - INFO - Epoch(train) [3][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:35:29 time: 0.7816 data_time: 0.0311 memory: 10665 loss: 0.7873 loss_rpn_cls: 0.0376 loss_rpn_bbox: 0.0431 loss_cls: 0.2104 acc: 94.5312 loss_bbox: 0.2684 loss_mask: 0.2278 +2024/01/15 20:11:20 - mmengine - INFO - Epoch(train) [3][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:34:54 time: 0.8015 data_time: 0.0298 memory: 10875 loss: 0.7304 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0345 loss_cls: 0.1956 acc: 89.8438 loss_bbox: 0.2392 loss_mask: 0.2350 +2024/01/15 20:12:00 - mmengine - INFO - Epoch(train) [3][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:34:14 time: 0.7933 data_time: 0.0345 memory: 10584 loss: 0.8862 loss_rpn_cls: 0.0435 loss_rpn_bbox: 0.0436 loss_cls: 0.2361 acc: 97.0703 loss_bbox: 0.2970 loss_mask: 0.2661 +2024/01/15 20:12:39 - mmengine - INFO - Epoch(train) [3][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:33:32 time: 0.7896 data_time: 0.0314 memory: 9947 loss: 0.8528 loss_rpn_cls: 0.0454 loss_rpn_bbox: 0.0387 loss_cls: 0.2359 acc: 91.2109 loss_bbox: 0.2819 loss_mask: 0.2510 +2024/01/15 20:13:19 - mmengine - INFO - Epoch(train) [3][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:32:52 time: 0.7943 data_time: 0.0367 memory: 10013 loss: 0.7882 loss_rpn_cls: 0.0390 loss_rpn_bbox: 0.0436 loss_cls: 0.2120 acc: 99.0234 loss_bbox: 0.2552 loss_mask: 0.2385 +2024/01/15 20:13:51 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 20:13:59 - mmengine - INFO - Epoch(train) [3][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:32:14 time: 0.7954 data_time: 0.0314 memory: 10067 loss: 0.7134 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0403 loss_cls: 0.1855 acc: 93.1641 loss_bbox: 0.2253 loss_mask: 0.2364 +2024/01/15 20:14:38 - mmengine - INFO - Epoch(train) [3][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:31:33 time: 0.7914 data_time: 0.0327 memory: 10516 loss: 0.8922 loss_rpn_cls: 0.0422 loss_rpn_bbox: 0.0440 loss_cls: 0.2645 acc: 90.8203 loss_bbox: 0.2841 loss_mask: 0.2574 +2024/01/15 20:15:19 - mmengine - INFO - Epoch(train) [3][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:31:02 time: 0.8081 data_time: 0.0311 memory: 10568 loss: 0.7315 loss_rpn_cls: 0.0330 loss_rpn_bbox: 0.0377 loss_cls: 0.2032 acc: 91.6016 loss_bbox: 0.2239 loss_mask: 0.2336 +2024/01/15 20:15:58 - mmengine - INFO - Epoch(train) [3][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:30:19 time: 0.7884 data_time: 0.0286 memory: 10155 loss: 0.6047 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0323 loss_cls: 0.1474 acc: 98.6328 loss_bbox: 0.1871 loss_mask: 0.2136 +2024/01/15 20:16:37 - mmengine - INFO - Epoch(train) [3][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:29:32 time: 0.7807 data_time: 0.0343 memory: 9601 loss: 0.7864 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0414 loss_cls: 0.2147 acc: 87.5000 loss_bbox: 0.2753 loss_mask: 0.2226 +2024/01/15 20:17:17 - mmengine - INFO - Epoch(train) [3][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:28:59 time: 0.8056 data_time: 0.0308 memory: 10508 loss: 0.9134 loss_rpn_cls: 0.0484 loss_rpn_bbox: 0.0641 loss_cls: 0.2388 acc: 97.0703 loss_bbox: 0.2962 loss_mask: 0.2660 +2024/01/15 20:17:57 - mmengine - INFO - Epoch(train) [3][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:28:15 time: 0.7860 data_time: 0.0322 memory: 10074 loss: 0.7553 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0433 loss_cls: 0.2088 acc: 85.9375 loss_bbox: 0.2454 loss_mask: 0.2330 +2024/01/15 20:18:36 - mmengine - INFO - Epoch(train) [3][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:27:35 time: 0.7923 data_time: 0.0366 memory: 10572 loss: 0.9146 loss_rpn_cls: 0.0557 loss_rpn_bbox: 0.0546 loss_cls: 0.2423 acc: 98.2422 loss_bbox: 0.3077 loss_mask: 0.2543 +2024/01/15 20:19:16 - mmengine - INFO - Epoch(train) [3][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:26:57 time: 0.7968 data_time: 0.0365 memory: 10262 loss: 0.7273 loss_rpn_cls: 0.0301 loss_rpn_bbox: 0.0376 loss_cls: 0.1761 acc: 94.7266 loss_bbox: 0.2385 loss_mask: 0.2450 +2024/01/15 20:19:56 - mmengine - INFO - Epoch(train) [3][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:26:19 time: 0.7964 data_time: 0.0352 memory: 10430 loss: 0.8046 loss_rpn_cls: 0.0347 loss_rpn_bbox: 0.0466 loss_cls: 0.2264 acc: 90.0391 loss_bbox: 0.2678 loss_mask: 0.2290 +2024/01/15 20:20:36 - mmengine - INFO - Epoch(train) [3][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:25:47 time: 0.8081 data_time: 0.0322 memory: 9949 loss: 0.6846 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0300 loss_cls: 0.1899 acc: 97.0703 loss_bbox: 0.2312 loss_mask: 0.2071 +2024/01/15 20:21:15 - mmengine - INFO - Epoch(train) [3][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:25:01 time: 0.7825 data_time: 0.0317 memory: 9731 loss: 0.6830 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0270 loss_cls: 0.1713 acc: 96.0938 loss_bbox: 0.2245 loss_mask: 0.2414 +2024/01/15 20:21:54 - mmengine - INFO - Epoch(train) [3][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:24:12 time: 0.7763 data_time: 0.0309 memory: 10311 loss: 0.7681 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0347 loss_cls: 0.2164 acc: 96.8750 loss_bbox: 0.2356 loss_mask: 0.2580 +2024/01/15 20:22:34 - mmengine - INFO - Epoch(train) [3][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:23:35 time: 0.7986 data_time: 0.0362 memory: 10715 loss: 0.7859 loss_rpn_cls: 0.0376 loss_rpn_bbox: 0.0452 loss_cls: 0.2074 acc: 87.6953 loss_bbox: 0.2550 loss_mask: 0.2407 +2024/01/15 20:23:14 - mmengine - INFO - Epoch(train) [3][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:22:55 time: 0.7926 data_time: 0.0287 memory: 9459 loss: 0.6995 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0351 loss_cls: 0.1845 acc: 89.2578 loss_bbox: 0.2201 loss_mask: 0.2339 +2024/01/15 20:23:53 - mmengine - INFO - Epoch(train) [3][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:22:15 time: 0.7926 data_time: 0.0335 memory: 10463 loss: 0.7937 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0411 loss_cls: 0.2149 acc: 78.5156 loss_bbox: 0.2781 loss_mask: 0.2336 +2024/01/15 20:24:33 - mmengine - INFO - Epoch(train) [3][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:21:38 time: 0.7991 data_time: 0.0283 memory: 10583 loss: 0.7410 loss_rpn_cls: 0.0308 loss_rpn_bbox: 0.0363 loss_cls: 0.1915 acc: 92.1875 loss_bbox: 0.2396 loss_mask: 0.2428 +2024/01/15 20:25:13 - mmengine - INFO - Epoch(train) [3][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:20:55 time: 0.7871 data_time: 0.0273 memory: 10572 loss: 0.7051 loss_rpn_cls: 0.0319 loss_rpn_bbox: 0.0303 loss_cls: 0.1911 acc: 94.7266 loss_bbox: 0.2233 loss_mask: 0.2286 +2024/01/15 20:25:52 - mmengine - INFO - Epoch(train) [3][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:20:12 time: 0.7884 data_time: 0.0287 memory: 10755 loss: 0.7416 loss_rpn_cls: 0.0351 loss_rpn_bbox: 0.0344 loss_cls: 0.2001 acc: 96.8750 loss_bbox: 0.2364 loss_mask: 0.2355 +2024/01/15 20:26:32 - mmengine - INFO - Epoch(train) [3][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:19:30 time: 0.7878 data_time: 0.0333 memory: 10572 loss: 0.6712 loss_rpn_cls: 0.0414 loss_rpn_bbox: 0.0306 loss_cls: 0.1754 acc: 90.2344 loss_bbox: 0.2097 loss_mask: 0.2141 +2024/01/15 20:26:55 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 20:26:55 - mmengine - INFO - Saving checkpoint at 3 epochs +2024/01/15 20:27:10 - mmengine - INFO - Epoch(val) [3][ 50/313] eta: 0:00:59 time: 0.2281 data_time: 0.0624 memory: 9570 +2024/01/15 20:27:20 - mmengine - INFO - Epoch(val) [3][100/313] eta: 0:00:45 time: 0.2018 data_time: 0.0375 memory: 2388 +2024/01/15 20:27:31 - mmengine - INFO - Epoch(val) [3][150/313] eta: 0:00:35 time: 0.2246 data_time: 0.0621 memory: 2431 +2024/01/15 20:27:42 - mmengine - INFO - Epoch(val) [3][200/313] eta: 0:00:24 time: 0.2123 data_time: 0.0467 memory: 2403 +2024/01/15 20:27:51 - mmengine - INFO - Epoch(val) [3][250/313] eta: 0:00:13 time: 0.1850 data_time: 0.0248 memory: 2431 +2024/01/15 20:28:01 - mmengine - INFO - Epoch(val) [3][300/313] eta: 0:00:02 time: 0.1942 data_time: 0.0309 memory: 2403 +2024/01/15 20:28:12 - mmengine - INFO - Evaluating bbox... +2024/01/15 20:28:39 - mmengine - INFO - bbox_mAP_copypaste: 0.414 0.650 0.451 0.259 0.455 0.534 +2024/01/15 20:28:39 - mmengine - INFO - Evaluating segm... +2024/01/15 20:29:11 - mmengine - INFO - segm_mAP_copypaste: 0.381 0.617 0.410 0.195 0.415 0.567 +2024/01/15 20:29:11 - mmengine - INFO - Epoch(val) [3][313/313] coco/bbox_mAP: 0.4140 coco/bbox_mAP_50: 0.6500 coco/bbox_mAP_75: 0.4510 coco/bbox_mAP_s: 0.2590 coco/bbox_mAP_m: 0.4550 coco/bbox_mAP_l: 0.5340 coco/segm_mAP: 0.3810 coco/segm_mAP_50: 0.6170 coco/segm_mAP_75: 0.4100 coco/segm_mAP_s: 0.1950 coco/segm_mAP_m: 0.4150 coco/segm_mAP_l: 0.5670 data_time: 0.0424 time: 0.2058 +2024/01/15 20:29:20 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 20:29:53 - mmengine - INFO - Epoch(train) [4][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:18:43 time: 0.8318 data_time: 0.0507 memory: 10568 loss: 0.7346 loss_rpn_cls: 0.0336 loss_rpn_bbox: 0.0422 loss_cls: 0.1809 acc: 92.9688 loss_bbox: 0.2560 loss_mask: 0.2219 +2024/01/15 20:30:33 - mmengine - INFO - Epoch(train) [4][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:18:07 time: 0.7996 data_time: 0.0322 memory: 10568 loss: 0.7558 loss_rpn_cls: 0.0364 loss_rpn_bbox: 0.0415 loss_cls: 0.1937 acc: 98.2422 loss_bbox: 0.2553 loss_mask: 0.2288 +2024/01/15 20:31:12 - mmengine - INFO - Epoch(train) [4][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:17:25 time: 0.7901 data_time: 0.0312 memory: 10295 loss: 0.6812 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0310 loss_cls: 0.1735 acc: 95.1172 loss_bbox: 0.2145 loss_mask: 0.2367 +2024/01/15 20:31:52 - mmengine - INFO - Epoch(train) [4][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:16:50 time: 0.8012 data_time: 0.0276 memory: 10513 loss: 0.7152 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0281 loss_cls: 0.2019 acc: 98.2422 loss_bbox: 0.2364 loss_mask: 0.2156 +2024/01/15 20:32:32 - mmengine - INFO - Epoch(train) [4][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:16:07 time: 0.7871 data_time: 0.0348 memory: 10572 loss: 0.7948 loss_rpn_cls: 0.0305 loss_rpn_bbox: 0.0492 loss_cls: 0.2124 acc: 94.9219 loss_bbox: 0.2623 loss_mask: 0.2404 +2024/01/15 20:33:12 - mmengine - INFO - Epoch(train) [4][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:15:28 time: 0.7960 data_time: 0.0330 memory: 10789 loss: 0.7754 loss_rpn_cls: 0.0295 loss_rpn_bbox: 0.0454 loss_cls: 0.2162 acc: 99.0234 loss_bbox: 0.2705 loss_mask: 0.2138 +2024/01/15 20:33:51 - mmengine - INFO - Epoch(train) [4][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:14:42 time: 0.7817 data_time: 0.0331 memory: 10067 loss: 0.7602 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0361 loss_cls: 0.2036 acc: 97.4609 loss_bbox: 0.2542 loss_mask: 0.2383 +2024/01/15 20:34:30 - mmengine - INFO - Epoch(train) [4][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:13:58 time: 0.7851 data_time: 0.0334 memory: 10572 loss: 0.7360 loss_rpn_cls: 0.0374 loss_rpn_bbox: 0.0373 loss_cls: 0.2159 acc: 99.0234 loss_bbox: 0.2391 loss_mask: 0.2063 +2024/01/15 20:35:10 - mmengine - INFO - Epoch(train) [4][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:13:22 time: 0.8000 data_time: 0.0297 memory: 10582 loss: 0.7381 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0345 loss_cls: 0.1975 acc: 85.5469 loss_bbox: 0.2439 loss_mask: 0.2381 +2024/01/15 20:35:49 - mmengine - INFO - Epoch(train) [4][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:12:36 time: 0.7828 data_time: 0.0313 memory: 10207 loss: 0.8759 loss_rpn_cls: 0.0305 loss_rpn_bbox: 0.0399 loss_cls: 0.2527 acc: 99.6094 loss_bbox: 0.3116 loss_mask: 0.2410 +2024/01/15 20:36:28 - mmengine - INFO - Epoch(train) [4][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:11:49 time: 0.7802 data_time: 0.0309 memory: 10572 loss: 0.7020 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0377 loss_cls: 0.1826 acc: 96.4844 loss_bbox: 0.2274 loss_mask: 0.2265 +2024/01/15 20:37:08 - mmengine - INFO - Epoch(train) [4][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:11:16 time: 0.8061 data_time: 0.0292 memory: 10153 loss: 0.7925 loss_rpn_cls: 0.0378 loss_rpn_bbox: 0.0427 loss_cls: 0.2136 acc: 93.5547 loss_bbox: 0.2563 loss_mask: 0.2420 +2024/01/15 20:37:48 - mmengine - INFO - Epoch(train) [4][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:10:37 time: 0.7948 data_time: 0.0347 memory: 10789 loss: 0.8077 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0359 loss_cls: 0.2491 acc: 85.7422 loss_bbox: 0.2675 loss_mask: 0.2244 +2024/01/15 20:38:28 - mmengine - INFO - Epoch(train) [4][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:09:59 time: 0.7968 data_time: 0.0350 memory: 9949 loss: 0.9076 loss_rpn_cls: 0.0474 loss_rpn_bbox: 0.0573 loss_cls: 0.2387 acc: 93.5547 loss_bbox: 0.2989 loss_mask: 0.2654 +2024/01/15 20:39:07 - mmengine - INFO - Epoch(train) [4][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:09:11 time: 0.7774 data_time: 0.0277 memory: 10583 loss: 0.6951 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0360 loss_cls: 0.1959 acc: 96.4844 loss_bbox: 0.2322 loss_mask: 0.2032 +2024/01/15 20:39:47 - mmengine - INFO - Epoch(train) [4][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:08:36 time: 0.8022 data_time: 0.0329 memory: 9601 loss: 0.7895 loss_rpn_cls: 0.0347 loss_rpn_bbox: 0.0447 loss_cls: 0.2041 acc: 90.0391 loss_bbox: 0.2712 loss_mask: 0.2348 +2024/01/15 20:40:26 - mmengine - INFO - Epoch(train) [4][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:07:52 time: 0.7858 data_time: 0.0305 memory: 9949 loss: 0.6964 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0417 loss_cls: 0.1819 acc: 85.1562 loss_bbox: 0.2337 loss_mask: 0.2156 +2024/01/15 20:41:06 - mmengine - INFO - Epoch(train) [4][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:07:11 time: 0.7910 data_time: 0.0367 memory: 10475 loss: 0.7197 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0359 loss_cls: 0.1801 acc: 94.1406 loss_bbox: 0.2500 loss_mask: 0.2227 +2024/01/15 20:41:45 - mmengine - INFO - Epoch(train) [4][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:06:25 time: 0.7805 data_time: 0.0330 memory: 10572 loss: 0.8071 loss_rpn_cls: 0.0337 loss_rpn_bbox: 0.0391 loss_cls: 0.2141 acc: 91.6016 loss_bbox: 0.2814 loss_mask: 0.2388 +2024/01/15 20:42:24 - mmengine - INFO - Epoch(train) [4][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:05:43 time: 0.7899 data_time: 0.0307 memory: 9949 loss: 0.7196 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0420 loss_cls: 0.2054 acc: 97.0703 loss_bbox: 0.2287 loss_mask: 0.2182 +2024/01/15 20:42:32 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 20:43:04 - mmengine - INFO - Epoch(train) [4][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:05:03 time: 0.7924 data_time: 0.0356 memory: 11102 loss: 0.7621 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0469 loss_cls: 0.1903 acc: 98.4375 loss_bbox: 0.2517 loss_mask: 0.2400 +2024/01/15 20:43:43 - mmengine - INFO - Epoch(train) [4][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:04:19 time: 0.7853 data_time: 0.0330 memory: 10568 loss: 0.6994 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0346 loss_cls: 0.1826 acc: 96.4844 loss_bbox: 0.2387 loss_mask: 0.2163 +2024/01/15 20:44:23 - mmengine - INFO - Epoch(train) [4][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:03:43 time: 0.7992 data_time: 0.0319 memory: 10110 loss: 0.7878 loss_rpn_cls: 0.0354 loss_rpn_bbox: 0.0359 loss_cls: 0.2219 acc: 96.8750 loss_bbox: 0.2591 loss_mask: 0.2354 +2024/01/15 20:45:03 - mmengine - INFO - Epoch(train) [4][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:03:06 time: 0.7991 data_time: 0.0310 memory: 10067 loss: 0.6292 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0298 loss_cls: 0.1689 acc: 96.2891 loss_bbox: 0.2125 loss_mask: 0.1970 +2024/01/15 20:45:42 - mmengine - INFO - Epoch(train) [4][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:02:19 time: 0.7802 data_time: 0.0380 memory: 10538 loss: 0.8676 loss_rpn_cls: 0.0455 loss_rpn_bbox: 0.0528 loss_cls: 0.2467 acc: 89.8438 loss_bbox: 0.2952 loss_mask: 0.2274 +2024/01/15 20:46:21 - mmengine - INFO - Epoch(train) [4][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:01:30 time: 0.7757 data_time: 0.0294 memory: 9860 loss: 0.5828 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0312 loss_cls: 0.1427 acc: 97.8516 loss_bbox: 0.1865 loss_mask: 0.1998 +2024/01/15 20:47:01 - mmengine - INFO - Epoch(train) [4][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:00:51 time: 0.7940 data_time: 0.0317 memory: 10572 loss: 0.6453 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0306 loss_cls: 0.1747 acc: 97.0703 loss_bbox: 0.2148 loss_mask: 0.2025 +2024/01/15 20:47:39 - mmengine - INFO - Epoch(train) [4][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 5:00:01 time: 0.7742 data_time: 0.0271 memory: 8894 loss: 0.7865 loss_rpn_cls: 0.0305 loss_rpn_bbox: 0.0483 loss_cls: 0.2202 acc: 99.2188 loss_bbox: 0.2486 loss_mask: 0.2389 +2024/01/15 20:48:20 - mmengine - INFO - Epoch(train) [4][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:59:34 time: 0.8176 data_time: 0.0328 memory: 10986 loss: 0.6932 loss_rpn_cls: 0.0302 loss_rpn_bbox: 0.0461 loss_cls: 0.1758 acc: 97.2656 loss_bbox: 0.2233 loss_mask: 0.2178 +2024/01/15 20:49:01 - mmengine - INFO - Epoch(train) [4][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:59:04 time: 0.8116 data_time: 0.0366 memory: 10715 loss: 0.7261 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0409 loss_cls: 0.1870 acc: 81.0547 loss_bbox: 0.2303 loss_mask: 0.2382 +2024/01/15 20:49:41 - mmengine - INFO - Epoch(train) [4][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:58:29 time: 0.8040 data_time: 0.0293 memory: 10067 loss: 0.7430 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0358 loss_cls: 0.1737 acc: 86.9141 loss_bbox: 0.2240 loss_mask: 0.2823 +2024/01/15 20:50:21 - mmengine - INFO - Epoch(train) [4][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:57:49 time: 0.7918 data_time: 0.0265 memory: 9601 loss: 0.7255 loss_rpn_cls: 0.0328 loss_rpn_bbox: 0.0412 loss_cls: 0.1953 acc: 83.2031 loss_bbox: 0.2378 loss_mask: 0.2184 +2024/01/15 20:51:00 - mmengine - INFO - Epoch(train) [4][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:57:08 time: 0.7920 data_time: 0.0279 memory: 9737 loss: 0.6570 loss_rpn_cls: 0.0337 loss_rpn_bbox: 0.0370 loss_cls: 0.1696 acc: 92.7734 loss_bbox: 0.2061 loss_mask: 0.2106 +2024/01/15 20:51:41 - mmengine - INFO - Epoch(train) [4][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:56:39 time: 0.8128 data_time: 0.0331 memory: 9737 loss: 0.6675 loss_rpn_cls: 0.0412 loss_rpn_bbox: 0.0464 loss_cls: 0.1675 acc: 96.6797 loss_bbox: 0.2016 loss_mask: 0.2108 +2024/01/15 20:52:21 - mmengine - INFO - Epoch(train) [4][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:56:00 time: 0.7952 data_time: 0.0344 memory: 9601 loss: 0.7621 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0405 loss_cls: 0.2123 acc: 91.9922 loss_bbox: 0.2542 loss_mask: 0.2322 +2024/01/15 20:53:01 - mmengine - INFO - Epoch(train) [4][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:55:22 time: 0.7977 data_time: 0.0286 memory: 10067 loss: 0.6629 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0360 loss_cls: 0.1747 acc: 100.0000 loss_bbox: 0.2231 loss_mask: 0.2019 +2024/01/15 20:53:40 - mmengine - INFO - Epoch(train) [4][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:54:40 time: 0.7878 data_time: 0.0283 memory: 10162 loss: 0.7264 loss_rpn_cls: 0.0299 loss_rpn_bbox: 0.0448 loss_cls: 0.1837 acc: 99.2188 loss_bbox: 0.2374 loss_mask: 0.2306 +2024/01/15 20:54:19 - mmengine - INFO - Epoch(train) [4][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:53:51 time: 0.7766 data_time: 0.0347 memory: 9619 loss: 0.8307 loss_rpn_cls: 0.0412 loss_rpn_bbox: 0.0413 loss_cls: 0.2303 acc: 82.6172 loss_bbox: 0.2720 loss_mask: 0.2459 +2024/01/15 20:54:59 - mmengine - INFO - Epoch(train) [4][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:53:14 time: 0.7980 data_time: 0.0291 memory: 9397 loss: 0.6775 loss_rpn_cls: 0.0307 loss_rpn_bbox: 0.0401 loss_cls: 0.1803 acc: 97.8516 loss_bbox: 0.2165 loss_mask: 0.2100 +2024/01/15 20:55:38 - mmengine - INFO - Epoch(train) [4][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:52:30 time: 0.7852 data_time: 0.0320 memory: 9947 loss: 0.7900 loss_rpn_cls: 0.0303 loss_rpn_bbox: 0.0405 loss_cls: 0.2164 acc: 93.7500 loss_bbox: 0.2633 loss_mask: 0.2396 +2024/01/15 20:55:46 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 20:56:17 - mmengine - INFO - Epoch(train) [4][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:51:45 time: 0.7815 data_time: 0.0288 memory: 9439 loss: 0.6488 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0307 loss_cls: 0.1541 acc: 98.4375 loss_bbox: 0.2073 loss_mask: 0.2327 +2024/01/15 20:56:57 - mmengine - INFO - Epoch(train) [4][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:51:06 time: 0.7961 data_time: 0.0309 memory: 8368 loss: 0.7167 loss_rpn_cls: 0.0361 loss_rpn_bbox: 0.0436 loss_cls: 0.1889 acc: 97.6562 loss_bbox: 0.2364 loss_mask: 0.2117 +2024/01/15 20:57:37 - mmengine - INFO - Epoch(train) [4][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:50:27 time: 0.7952 data_time: 0.0358 memory: 10568 loss: 0.7869 loss_rpn_cls: 0.0336 loss_rpn_bbox: 0.0406 loss_cls: 0.2039 acc: 96.0938 loss_bbox: 0.2671 loss_mask: 0.2417 +2024/01/15 20:58:17 - mmengine - INFO - Epoch(train) [4][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:49:54 time: 0.8066 data_time: 0.0336 memory: 10568 loss: 0.7848 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0434 loss_cls: 0.2109 acc: 87.6953 loss_bbox: 0.2692 loss_mask: 0.2300 +2024/01/15 20:58:56 - mmengine - INFO - Epoch(train) [4][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:49:09 time: 0.7832 data_time: 0.0305 memory: 10526 loss: 0.6906 loss_rpn_cls: 0.0294 loss_rpn_bbox: 0.0438 loss_cls: 0.1724 acc: 92.9688 loss_bbox: 0.2333 loss_mask: 0.2117 +2024/01/15 20:59:36 - mmengine - INFO - Epoch(train) [4][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:48:28 time: 0.7893 data_time: 0.0377 memory: 10582 loss: 0.8660 loss_rpn_cls: 0.0532 loss_rpn_bbox: 0.0527 loss_cls: 0.2368 acc: 94.5312 loss_bbox: 0.2777 loss_mask: 0.2456 +2024/01/15 21:00:15 - mmengine - INFO - Epoch(train) [4][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:47:43 time: 0.7843 data_time: 0.0365 memory: 10466 loss: 0.8386 loss_rpn_cls: 0.0398 loss_rpn_bbox: 0.0533 loss_cls: 0.2211 acc: 99.4141 loss_bbox: 0.2699 loss_mask: 0.2546 +2024/01/15 21:00:55 - mmengine - INFO - Epoch(train) [4][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:47:04 time: 0.7936 data_time: 0.0269 memory: 10572 loss: 0.6293 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0362 loss_cls: 0.1541 acc: 83.5938 loss_bbox: 0.2055 loss_mask: 0.2067 +2024/01/15 21:01:33 - mmengine - INFO - Epoch(train) [4][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:46:15 time: 0.7747 data_time: 0.0337 memory: 10025 loss: 0.8487 loss_rpn_cls: 0.0358 loss_rpn_bbox: 0.0546 loss_cls: 0.2367 acc: 89.0625 loss_bbox: 0.2803 loss_mask: 0.2413 +2024/01/15 21:02:13 - mmengine - INFO - Epoch(train) [4][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:45:40 time: 0.8020 data_time: 0.0261 memory: 10013 loss: 0.7130 loss_rpn_cls: 0.0317 loss_rpn_bbox: 0.0308 loss_cls: 0.1855 acc: 97.6562 loss_bbox: 0.2317 loss_mask: 0.2333 +2024/01/15 21:02:52 - mmengine - INFO - Epoch(train) [4][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:44:54 time: 0.7819 data_time: 0.0333 memory: 9394 loss: 0.7557 loss_rpn_cls: 0.0333 loss_rpn_bbox: 0.0494 loss_cls: 0.2031 acc: 81.4453 loss_bbox: 0.2339 loss_mask: 0.2360 +2024/01/15 21:03:32 - mmengine - INFO - Epoch(train) [4][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:44:13 time: 0.7905 data_time: 0.0359 memory: 10583 loss: 0.8480 loss_rpn_cls: 0.0443 loss_rpn_bbox: 0.0483 loss_cls: 0.2354 acc: 97.8516 loss_bbox: 0.2768 loss_mask: 0.2433 +2024/01/15 21:04:12 - mmengine - INFO - Epoch(train) [4][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:43:37 time: 0.8001 data_time: 0.0368 memory: 10486 loss: 0.7189 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0351 loss_cls: 0.1984 acc: 98.6328 loss_bbox: 0.2321 loss_mask: 0.2284 +2024/01/15 21:04:52 - mmengine - INFO - Epoch(train) [4][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:42:56 time: 0.7911 data_time: 0.0302 memory: 10433 loss: 0.7932 loss_rpn_cls: 0.0329 loss_rpn_bbox: 0.0371 loss_cls: 0.2315 acc: 98.0469 loss_bbox: 0.2619 loss_mask: 0.2298 +2024/01/15 21:05:31 - mmengine - INFO - Epoch(train) [4][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:42:14 time: 0.7889 data_time: 0.0349 memory: 10394 loss: 0.8242 loss_rpn_cls: 0.0397 loss_rpn_bbox: 0.0450 loss_cls: 0.2352 acc: 85.7422 loss_bbox: 0.2649 loss_mask: 0.2394 +2024/01/15 21:06:10 - mmengine - INFO - Epoch(train) [4][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:41:31 time: 0.7873 data_time: 0.0327 memory: 11099 loss: 0.7787 loss_rpn_cls: 0.0325 loss_rpn_bbox: 0.0417 loss_cls: 0.2016 acc: 90.4297 loss_bbox: 0.2763 loss_mask: 0.2265 +2024/01/15 21:06:50 - mmengine - INFO - Epoch(train) [4][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:40:47 time: 0.7837 data_time: 0.0309 memory: 10114 loss: 0.7314 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0391 loss_cls: 0.2061 acc: 95.3125 loss_bbox: 0.2339 loss_mask: 0.2287 +2024/01/15 21:07:29 - mmengine - INFO - Epoch(train) [4][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:40:07 time: 0.7916 data_time: 0.0322 memory: 9737 loss: 0.7608 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0349 loss_cls: 0.1939 acc: 90.8203 loss_bbox: 0.2692 loss_mask: 0.2361 +2024/01/15 21:08:09 - mmengine - INFO - Epoch(train) [4][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:39:24 time: 0.7875 data_time: 0.0282 memory: 9582 loss: 0.7193 loss_rpn_cls: 0.0351 loss_rpn_bbox: 0.0326 loss_cls: 0.2166 acc: 97.2656 loss_bbox: 0.2279 loss_mask: 0.2071 +2024/01/15 21:08:48 - mmengine - INFO - Epoch(train) [4][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:38:42 time: 0.7877 data_time: 0.0349 memory: 10067 loss: 0.7166 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0371 loss_cls: 0.1875 acc: 85.5469 loss_bbox: 0.2424 loss_mask: 0.2165 +2024/01/15 21:08:56 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 21:09:27 - mmengine - INFO - Epoch(train) [4][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:37:58 time: 0.7839 data_time: 0.0333 memory: 10568 loss: 0.8315 loss_rpn_cls: 0.0402 loss_rpn_bbox: 0.0468 loss_cls: 0.2314 acc: 77.3438 loss_bbox: 0.2727 loss_mask: 0.2403 +2024/01/15 21:10:07 - mmengine - INFO - Epoch(train) [4][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:37:15 time: 0.7871 data_time: 0.0320 memory: 10123 loss: 0.7519 loss_rpn_cls: 0.0387 loss_rpn_bbox: 0.0409 loss_cls: 0.1851 acc: 88.2812 loss_bbox: 0.2493 loss_mask: 0.2378 +2024/01/15 21:10:47 - mmengine - INFO - Epoch(train) [4][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:36:42 time: 0.8078 data_time: 0.0366 memory: 10572 loss: 0.7774 loss_rpn_cls: 0.0363 loss_rpn_bbox: 0.0437 loss_cls: 0.2160 acc: 90.4297 loss_bbox: 0.2590 loss_mask: 0.2223 +2024/01/15 21:11:26 - mmengine - INFO - Epoch(train) [4][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:36:01 time: 0.7902 data_time: 0.0346 memory: 10123 loss: 0.7734 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0390 loss_cls: 0.1914 acc: 84.7656 loss_bbox: 0.2677 loss_mask: 0.2473 +2024/01/15 21:12:07 - mmengine - INFO - Epoch(train) [4][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:35:26 time: 0.8029 data_time: 0.0331 memory: 9472 loss: 0.7771 loss_rpn_cls: 0.0295 loss_rpn_bbox: 0.0360 loss_cls: 0.2170 acc: 84.9609 loss_bbox: 0.2588 loss_mask: 0.2358 +2024/01/15 21:12:46 - mmengine - INFO - Epoch(train) [4][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:34:44 time: 0.7882 data_time: 0.0316 memory: 9947 loss: 0.7345 loss_rpn_cls: 0.0361 loss_rpn_bbox: 0.0414 loss_cls: 0.1938 acc: 91.6016 loss_bbox: 0.2395 loss_mask: 0.2238 +2024/01/15 21:13:26 - mmengine - INFO - Epoch(train) [4][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:34:08 time: 0.8012 data_time: 0.0322 memory: 10582 loss: 0.6716 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0354 loss_cls: 0.1623 acc: 86.5234 loss_bbox: 0.2352 loss_mask: 0.2203 +2024/01/15 21:14:07 - mmengine - INFO - Epoch(train) [4][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:33:40 time: 0.8177 data_time: 0.0370 memory: 10572 loss: 0.7995 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0452 loss_cls: 0.2088 acc: 89.2578 loss_bbox: 0.2740 loss_mask: 0.2450 +2024/01/15 21:14:47 - mmengine - INFO - Epoch(train) [4][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:33:02 time: 0.7972 data_time: 0.0360 memory: 10401 loss: 0.7420 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0403 loss_cls: 0.1961 acc: 97.4609 loss_bbox: 0.2591 loss_mask: 0.2219 +2024/01/15 21:15:26 - mmengine - INFO - Epoch(train) [4][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:32:22 time: 0.7936 data_time: 0.0281 memory: 10788 loss: 0.6404 loss_rpn_cls: 0.0333 loss_rpn_bbox: 0.0303 loss_cls: 0.1840 acc: 99.4141 loss_bbox: 0.1820 loss_mask: 0.2108 +2024/01/15 21:16:05 - mmengine - INFO - Epoch(train) [4][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:31:36 time: 0.7789 data_time: 0.0316 memory: 10067 loss: 0.7636 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0482 loss_cls: 0.2147 acc: 98.4375 loss_bbox: 0.2447 loss_mask: 0.2246 +2024/01/15 21:16:45 - mmengine - INFO - Epoch(train) [4][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:30:56 time: 0.7932 data_time: 0.0346 memory: 10571 loss: 0.7511 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0387 loss_cls: 0.2125 acc: 98.6328 loss_bbox: 0.2431 loss_mask: 0.2284 +2024/01/15 21:17:24 - mmengine - INFO - Epoch(train) [4][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:30:08 time: 0.7751 data_time: 0.0303 memory: 10572 loss: 0.8550 loss_rpn_cls: 0.0356 loss_rpn_bbox: 0.0486 loss_cls: 0.2475 acc: 93.7500 loss_bbox: 0.2847 loss_mask: 0.2386 +2024/01/15 21:18:03 - mmengine - INFO - Epoch(train) [4][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:29:27 time: 0.7904 data_time: 0.0314 memory: 9737 loss: 0.8016 loss_rpn_cls: 0.0357 loss_rpn_bbox: 0.0382 loss_cls: 0.2095 acc: 85.7422 loss_bbox: 0.2670 loss_mask: 0.2512 +2024/01/15 21:18:43 - mmengine - INFO - Epoch(train) [4][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:28:46 time: 0.7902 data_time: 0.0330 memory: 10568 loss: 0.6531 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0328 loss_cls: 0.1692 acc: 93.3594 loss_bbox: 0.2260 loss_mask: 0.1992 +2024/01/15 21:19:22 - mmengine - INFO - Epoch(train) [4][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:28:02 time: 0.7846 data_time: 0.0404 memory: 10139 loss: 0.8337 loss_rpn_cls: 0.0349 loss_rpn_bbox: 0.0461 loss_cls: 0.2122 acc: 98.6328 loss_bbox: 0.2774 loss_mask: 0.2631 +2024/01/15 21:20:01 - mmengine - INFO - Epoch(train) [4][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:27:19 time: 0.7856 data_time: 0.0325 memory: 10278 loss: 0.7516 loss_rpn_cls: 0.0315 loss_rpn_bbox: 0.0341 loss_cls: 0.2129 acc: 89.6484 loss_bbox: 0.2510 loss_mask: 0.2221 +2024/01/15 21:20:41 - mmengine - INFO - Epoch(train) [4][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:26:39 time: 0.7927 data_time: 0.0345 memory: 10304 loss: 0.8031 loss_rpn_cls: 0.0371 loss_rpn_bbox: 0.0373 loss_cls: 0.2297 acc: 93.7500 loss_bbox: 0.2720 loss_mask: 0.2269 +2024/01/15 21:21:20 - mmengine - INFO - Epoch(train) [4][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:25:53 time: 0.7806 data_time: 0.0315 memory: 10582 loss: 0.7203 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0333 loss_cls: 0.1982 acc: 82.6172 loss_bbox: 0.2318 loss_mask: 0.2306 +2024/01/15 21:22:00 - mmengine - INFO - Epoch(train) [4][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:25:14 time: 0.7934 data_time: 0.0361 memory: 10510 loss: 0.7837 loss_rpn_cls: 0.0341 loss_rpn_bbox: 0.0428 loss_cls: 0.2096 acc: 98.2422 loss_bbox: 0.2811 loss_mask: 0.2162 +2024/01/15 21:22:08 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 21:22:39 - mmengine - INFO - Epoch(train) [4][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:24:31 time: 0.7879 data_time: 0.0353 memory: 10123 loss: 0.8409 loss_rpn_cls: 0.0407 loss_rpn_bbox: 0.0455 loss_cls: 0.2405 acc: 99.6094 loss_bbox: 0.2763 loss_mask: 0.2378 +2024/01/15 21:23:19 - mmengine - INFO - Epoch(train) [4][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:23:51 time: 0.7908 data_time: 0.0316 memory: 10094 loss: 0.7396 loss_rpn_cls: 0.0341 loss_rpn_bbox: 0.0384 loss_cls: 0.2070 acc: 94.7266 loss_bbox: 0.2524 loss_mask: 0.2078 +2024/01/15 21:23:58 - mmengine - INFO - Epoch(train) [4][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:23:10 time: 0.7922 data_time: 0.0303 memory: 9295 loss: 0.6799 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0355 loss_cls: 0.1714 acc: 93.5547 loss_bbox: 0.2273 loss_mask: 0.2180 +2024/01/15 21:24:38 - mmengine - INFO - Epoch(train) [4][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:22:32 time: 0.7950 data_time: 0.0396 memory: 10572 loss: 0.8245 loss_rpn_cls: 0.0326 loss_rpn_bbox: 0.0494 loss_cls: 0.2398 acc: 98.6328 loss_bbox: 0.2646 loss_mask: 0.2381 +2024/01/15 21:25:17 - mmengine - INFO - Epoch(train) [4][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:21:47 time: 0.7823 data_time: 0.0288 memory: 10067 loss: 0.6639 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0360 loss_cls: 0.1696 acc: 91.0156 loss_bbox: 0.2097 loss_mask: 0.2226 +2024/01/15 21:25:56 - mmengine - INFO - Epoch(train) [4][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:21:02 time: 0.7817 data_time: 0.0274 memory: 9537 loss: 0.7545 loss_rpn_cls: 0.0360 loss_rpn_bbox: 0.0388 loss_cls: 0.2119 acc: 97.8516 loss_bbox: 0.2351 loss_mask: 0.2327 +2024/01/15 21:26:35 - mmengine - INFO - Epoch(train) [4][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:20:17 time: 0.7814 data_time: 0.0339 memory: 10878 loss: 0.7136 loss_rpn_cls: 0.0386 loss_rpn_bbox: 0.0356 loss_cls: 0.1848 acc: 99.2188 loss_bbox: 0.2307 loss_mask: 0.2238 +2024/01/15 21:27:15 - mmengine - INFO - Epoch(train) [4][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:19:35 time: 0.7884 data_time: 0.0325 memory: 10408 loss: 0.8448 loss_rpn_cls: 0.0397 loss_rpn_bbox: 0.0393 loss_cls: 0.2193 acc: 79.4922 loss_bbox: 0.2752 loss_mask: 0.2712 +2024/01/15 21:27:54 - mmengine - INFO - Epoch(train) [4][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:18:48 time: 0.7763 data_time: 0.0368 memory: 9601 loss: 0.8066 loss_rpn_cls: 0.0374 loss_rpn_bbox: 0.0494 loss_cls: 0.2137 acc: 91.9922 loss_bbox: 0.2623 loss_mask: 0.2439 +2024/01/15 21:28:33 - mmengine - INFO - Epoch(train) [4][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:18:08 time: 0.7933 data_time: 0.0312 memory: 9949 loss: 0.7198 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0323 loss_cls: 0.1977 acc: 86.5234 loss_bbox: 0.2388 loss_mask: 0.2217 +2024/01/15 21:29:13 - mmengine - INFO - Epoch(train) [4][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:17:26 time: 0.7878 data_time: 0.0338 memory: 10067 loss: 0.7564 loss_rpn_cls: 0.0295 loss_rpn_bbox: 0.0399 loss_cls: 0.1862 acc: 98.6328 loss_bbox: 0.2562 loss_mask: 0.2446 +2024/01/15 21:29:52 - mmengine - INFO - Epoch(train) [4][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:16:44 time: 0.7870 data_time: 0.0325 memory: 9844 loss: 0.7451 loss_rpn_cls: 0.0299 loss_rpn_bbox: 0.0322 loss_cls: 0.2132 acc: 98.2422 loss_bbox: 0.2389 loss_mask: 0.2309 +2024/01/15 21:30:31 - mmengine - INFO - Epoch(train) [4][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:15:58 time: 0.7788 data_time: 0.0257 memory: 9570 loss: 0.6261 loss_rpn_cls: 0.0285 loss_rpn_bbox: 0.0330 loss_cls: 0.1663 acc: 96.0938 loss_bbox: 0.1912 loss_mask: 0.2070 +2024/01/15 21:31:10 - mmengine - INFO - Epoch(train) [4][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:15:17 time: 0.7895 data_time: 0.0352 memory: 10067 loss: 0.6928 loss_rpn_cls: 0.0403 loss_rpn_bbox: 0.0356 loss_cls: 0.1869 acc: 89.8438 loss_bbox: 0.2173 loss_mask: 0.2127 +2024/01/15 21:31:50 - mmengine - INFO - Epoch(train) [4][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:14:37 time: 0.7926 data_time: 0.0320 memory: 10645 loss: 0.6800 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0349 loss_cls: 0.1712 acc: 99.8047 loss_bbox: 0.2219 loss_mask: 0.2230 +2024/01/15 21:32:29 - mmengine - INFO - Epoch(train) [4][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:13:49 time: 0.7740 data_time: 0.0275 memory: 10186 loss: 0.7402 loss_rpn_cls: 0.0285 loss_rpn_bbox: 0.0362 loss_cls: 0.2077 acc: 90.2344 loss_bbox: 0.2455 loss_mask: 0.2223 +2024/01/15 21:33:09 - mmengine - INFO - Epoch(train) [4][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:13:13 time: 0.8020 data_time: 0.0381 memory: 10568 loss: 0.7582 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0372 loss_cls: 0.2105 acc: 87.8906 loss_bbox: 0.2645 loss_mask: 0.2145 +2024/01/15 21:33:48 - mmengine - INFO - Epoch(train) [4][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:12:28 time: 0.7820 data_time: 0.0337 memory: 9190 loss: 0.7717 loss_rpn_cls: 0.0330 loss_rpn_bbox: 0.0347 loss_cls: 0.2042 acc: 86.5234 loss_bbox: 0.2631 loss_mask: 0.2366 +2024/01/15 21:34:27 - mmengine - INFO - Epoch(train) [4][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:11:47 time: 0.7887 data_time: 0.0312 memory: 9180 loss: 0.7842 loss_rpn_cls: 0.0349 loss_rpn_bbox: 0.0319 loss_cls: 0.2073 acc: 94.9219 loss_bbox: 0.2429 loss_mask: 0.2672 +2024/01/15 21:35:07 - mmengine - INFO - Epoch(train) [4][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:11:08 time: 0.7936 data_time: 0.0336 memory: 9459 loss: 0.6940 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0313 loss_cls: 0.1853 acc: 95.5078 loss_bbox: 0.2272 loss_mask: 0.2235 +2024/01/15 21:35:15 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 21:35:47 - mmengine - INFO - Epoch(train) [4][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:10:34 time: 0.8078 data_time: 0.0408 memory: 10516 loss: 0.8962 loss_rpn_cls: 0.0559 loss_rpn_bbox: 0.0535 loss_cls: 0.2507 acc: 97.0703 loss_bbox: 0.2962 loss_mask: 0.2398 +2024/01/15 21:36:27 - mmengine - INFO - Epoch(train) [4][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:09:52 time: 0.7874 data_time: 0.0293 memory: 10162 loss: 0.6146 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0267 loss_cls: 0.1516 acc: 99.0234 loss_bbox: 0.2018 loss_mask: 0.2189 +2024/01/15 21:37:06 - mmengine - INFO - Epoch(train) [4][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:09:12 time: 0.7926 data_time: 0.0281 memory: 9601 loss: 0.8071 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0346 loss_cls: 0.2301 acc: 99.2188 loss_bbox: 0.2686 loss_mask: 0.2407 +2024/01/15 21:37:47 - mmengine - INFO - Epoch(train) [4][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:08:38 time: 0.8049 data_time: 0.0286 memory: 10059 loss: 0.7678 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0310 loss_cls: 0.2071 acc: 97.8516 loss_bbox: 0.2596 loss_mask: 0.2482 +2024/01/15 21:38:26 - mmengine - INFO - Epoch(train) [4][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:07:56 time: 0.7880 data_time: 0.0279 memory: 10572 loss: 0.6751 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0252 loss_cls: 0.1770 acc: 95.7031 loss_bbox: 0.2325 loss_mask: 0.2181 +2024/01/15 21:39:07 - mmengine - INFO - Epoch(train) [4][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:07:23 time: 0.8081 data_time: 0.0330 memory: 10572 loss: 0.7444 loss_rpn_cls: 0.0412 loss_rpn_bbox: 0.0497 loss_cls: 0.2046 acc: 84.9609 loss_bbox: 0.2329 loss_mask: 0.2159 +2024/01/15 21:39:46 - mmengine - INFO - Epoch(train) [4][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:06:43 time: 0.7939 data_time: 0.0353 memory: 10568 loss: 0.7946 loss_rpn_cls: 0.0338 loss_rpn_bbox: 0.0462 loss_cls: 0.2054 acc: 94.5312 loss_bbox: 0.2515 loss_mask: 0.2576 +2024/01/15 21:40:26 - mmengine - INFO - Epoch(train) [4][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:06:04 time: 0.7928 data_time: 0.0340 memory: 10572 loss: 0.7627 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0415 loss_cls: 0.2236 acc: 93.1641 loss_bbox: 0.2461 loss_mask: 0.2294 +2024/01/15 21:41:05 - mmengine - INFO - Epoch(train) [4][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:05:22 time: 0.7894 data_time: 0.0346 memory: 9734 loss: 0.7110 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0373 loss_cls: 0.1818 acc: 98.0469 loss_bbox: 0.2396 loss_mask: 0.2260 +2024/01/15 21:41:45 - mmengine - INFO - Epoch(train) [4][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:04:40 time: 0.7865 data_time: 0.0281 memory: 9601 loss: 0.7477 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0334 loss_cls: 0.2030 acc: 90.4297 loss_bbox: 0.2346 loss_mask: 0.2498 +2024/01/15 21:42:24 - mmengine - INFO - Epoch(train) [4][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:03:58 time: 0.7871 data_time: 0.0327 memory: 10407 loss: 0.7018 loss_rpn_cls: 0.0323 loss_rpn_bbox: 0.0320 loss_cls: 0.1817 acc: 91.9922 loss_bbox: 0.2246 loss_mask: 0.2311 +2024/01/15 21:43:03 - mmengine - INFO - Epoch(train) [4][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:03:16 time: 0.7883 data_time: 0.0309 memory: 10364 loss: 0.7293 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0379 loss_cls: 0.1885 acc: 85.3516 loss_bbox: 0.2505 loss_mask: 0.2275 +2024/01/15 21:43:42 - mmengine - INFO - Epoch(train) [4][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:02:31 time: 0.7796 data_time: 0.0292 memory: 9514 loss: 0.7494 loss_rpn_cls: 0.0332 loss_rpn_bbox: 0.0374 loss_cls: 0.2077 acc: 86.9141 loss_bbox: 0.2421 loss_mask: 0.2290 +2024/01/15 21:44:22 - mmengine - INFO - Epoch(train) [4][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:01:46 time: 0.7811 data_time: 0.0293 memory: 10473 loss: 0.7486 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0377 loss_cls: 0.2052 acc: 98.6328 loss_bbox: 0.2421 loss_mask: 0.2351 +2024/01/15 21:45:01 - mmengine - INFO - Epoch(train) [4][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:01:07 time: 0.7944 data_time: 0.0356 memory: 10207 loss: 0.6885 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0315 loss_cls: 0.1721 acc: 90.8203 loss_bbox: 0.2337 loss_mask: 0.2249 +2024/01/15 21:45:41 - mmengine - INFO - Epoch(train) [4][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 4:00:29 time: 0.7978 data_time: 0.0346 memory: 10067 loss: 0.7495 loss_rpn_cls: 0.0336 loss_rpn_bbox: 0.0350 loss_cls: 0.2056 acc: 83.5938 loss_bbox: 0.2322 loss_mask: 0.2431 +2024/01/15 21:46:21 - mmengine - INFO - Epoch(train) [4][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:59:50 time: 0.7950 data_time: 0.0364 memory: 10789 loss: 0.7142 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0369 loss_cls: 0.1959 acc: 88.6719 loss_bbox: 0.2370 loss_mask: 0.2184 +2024/01/15 21:47:00 - mmengine - INFO - Epoch(train) [4][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:59:04 time: 0.7775 data_time: 0.0330 memory: 10572 loss: 0.7905 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0358 loss_cls: 0.2233 acc: 79.6875 loss_bbox: 0.2718 loss_mask: 0.2315 +2024/01/15 21:47:40 - mmengine - INFO - Epoch(train) [4][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:58:26 time: 0.7958 data_time: 0.0334 memory: 10087 loss: 0.7845 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0415 loss_cls: 0.2237 acc: 97.4609 loss_bbox: 0.2801 loss_mask: 0.2129 +2024/01/15 21:48:19 - mmengine - INFO - Epoch(train) [4][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:57:48 time: 0.7972 data_time: 0.0341 memory: 10228 loss: 0.7657 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0388 loss_cls: 0.2015 acc: 95.1172 loss_bbox: 0.2636 loss_mask: 0.2346 +2024/01/15 21:48:27 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 21:48:59 - mmengine - INFO - Epoch(train) [4][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:57:05 time: 0.7870 data_time: 0.0309 memory: 10639 loss: 0.6973 loss_rpn_cls: 0.0291 loss_rpn_bbox: 0.0319 loss_cls: 0.1927 acc: 90.2344 loss_bbox: 0.2261 loss_mask: 0.2175 +2024/01/15 21:49:39 - mmengine - INFO - Epoch(train) [4][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:56:28 time: 0.7984 data_time: 0.0316 memory: 9793 loss: 0.8196 loss_rpn_cls: 0.0431 loss_rpn_bbox: 0.0486 loss_cls: 0.2198 acc: 90.4297 loss_bbox: 0.2777 loss_mask: 0.2303 +2024/01/15 21:50:19 - mmengine - INFO - Epoch(train) [4][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:55:51 time: 0.7985 data_time: 0.0337 memory: 10692 loss: 0.7815 loss_rpn_cls: 0.0370 loss_rpn_bbox: 0.0449 loss_cls: 0.2097 acc: 92.9688 loss_bbox: 0.2574 loss_mask: 0.2326 +2024/01/15 21:50:58 - mmengine - INFO - Epoch(train) [4][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:55:07 time: 0.7837 data_time: 0.0288 memory: 9216 loss: 0.6770 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0296 loss_cls: 0.1623 acc: 87.8906 loss_bbox: 0.2198 loss_mask: 0.2445 +2024/01/15 21:51:37 - mmengine - INFO - Epoch(train) [4][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:54:26 time: 0.7901 data_time: 0.0357 memory: 10582 loss: 0.7561 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0350 loss_cls: 0.2034 acc: 94.5312 loss_bbox: 0.2557 loss_mask: 0.2407 +2024/01/15 21:52:16 - mmengine - INFO - Epoch(train) [4][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:53:41 time: 0.7802 data_time: 0.0284 memory: 10214 loss: 0.7156 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0391 loss_cls: 0.1924 acc: 98.2422 loss_bbox: 0.2378 loss_mask: 0.2234 +2024/01/15 21:52:56 - mmengine - INFO - Epoch(train) [4][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:53:06 time: 0.8025 data_time: 0.0387 memory: 10436 loss: 0.7190 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0366 loss_cls: 0.1918 acc: 83.3984 loss_bbox: 0.2225 loss_mask: 0.2472 +2024/01/15 21:53:36 - mmengine - INFO - Epoch(train) [4][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:52:21 time: 0.7818 data_time: 0.0310 memory: 10572 loss: 0.7058 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0339 loss_cls: 0.1786 acc: 97.2656 loss_bbox: 0.2248 loss_mask: 0.2461 +2024/01/15 21:54:15 - mmengine - INFO - Epoch(train) [4][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:51:39 time: 0.7856 data_time: 0.0249 memory: 10572 loss: 0.6466 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0384 loss_cls: 0.1791 acc: 97.0703 loss_bbox: 0.2013 loss_mask: 0.2029 +2024/01/15 21:54:54 - mmengine - INFO - Epoch(train) [4][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:50:57 time: 0.7891 data_time: 0.0327 memory: 9601 loss: 0.7467 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0383 loss_cls: 0.1998 acc: 81.4453 loss_bbox: 0.2528 loss_mask: 0.2325 +2024/01/15 21:55:35 - mmengine - INFO - Epoch(train) [4][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:50:22 time: 0.8042 data_time: 0.0342 memory: 10875 loss: 0.7903 loss_rpn_cls: 0.0307 loss_rpn_bbox: 0.0402 loss_cls: 0.2020 acc: 98.2422 loss_bbox: 0.2704 loss_mask: 0.2469 +2024/01/15 21:56:14 - mmengine - INFO - Epoch(train) [4][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:49:38 time: 0.7818 data_time: 0.0366 memory: 10123 loss: 0.7713 loss_rpn_cls: 0.0302 loss_rpn_bbox: 0.0406 loss_cls: 0.2038 acc: 79.6875 loss_bbox: 0.2523 loss_mask: 0.2444 +2024/01/15 21:56:54 - mmengine - INFO - Epoch(train) [4][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:49:06 time: 0.8109 data_time: 0.0370 memory: 10568 loss: 0.8247 loss_rpn_cls: 0.0425 loss_rpn_bbox: 0.0491 loss_cls: 0.2313 acc: 99.0234 loss_bbox: 0.2776 loss_mask: 0.2241 +2024/01/15 21:57:34 - mmengine - INFO - Epoch(train) [4][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:48:28 time: 0.7979 data_time: 0.0314 memory: 9537 loss: 0.6665 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0323 loss_cls: 0.1698 acc: 99.2188 loss_bbox: 0.2188 loss_mask: 0.2212 +2024/01/15 21:58:15 - mmengine - INFO - Epoch(train) [4][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:47:55 time: 0.8091 data_time: 0.0304 memory: 9459 loss: 0.7517 loss_rpn_cls: 0.0311 loss_rpn_bbox: 0.0386 loss_cls: 0.2105 acc: 100.0000 loss_bbox: 0.2457 loss_mask: 0.2257 +2024/01/15 21:58:54 - mmengine - INFO - Epoch(train) [4][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:47:13 time: 0.7864 data_time: 0.0350 memory: 9656 loss: 0.8048 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0427 loss_cls: 0.2232 acc: 90.2344 loss_bbox: 0.2635 loss_mask: 0.2446 +2024/01/15 21:59:33 - mmengine - INFO - Epoch(train) [4][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:46:30 time: 0.7856 data_time: 0.0314 memory: 10202 loss: 0.7590 loss_rpn_cls: 0.0364 loss_rpn_bbox: 0.0379 loss_cls: 0.2186 acc: 99.2188 loss_bbox: 0.2433 loss_mask: 0.2229 +2024/01/15 22:00:12 - mmengine - INFO - Epoch(train) [4][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:45:47 time: 0.7861 data_time: 0.0310 memory: 10245 loss: 0.6368 loss_rpn_cls: 0.0332 loss_rpn_bbox: 0.0318 loss_cls: 0.1660 acc: 91.7969 loss_bbox: 0.2043 loss_mask: 0.2015 +2024/01/15 22:00:52 - mmengine - INFO - Epoch(train) [4][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:45:07 time: 0.7909 data_time: 0.0366 memory: 9599 loss: 0.8445 loss_rpn_cls: 0.0357 loss_rpn_bbox: 0.0508 loss_cls: 0.2311 acc: 97.8516 loss_bbox: 0.2905 loss_mask: 0.2364 +2024/01/15 22:01:32 - mmengine - INFO - Epoch(train) [4][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:44:33 time: 0.8060 data_time: 0.0359 memory: 10801 loss: 0.7829 loss_rpn_cls: 0.0419 loss_rpn_bbox: 0.0414 loss_cls: 0.1928 acc: 97.0703 loss_bbox: 0.2580 loss_mask: 0.2488 +2024/01/15 22:01:40 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 22:02:12 - mmengine - INFO - Epoch(train) [4][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:43:52 time: 0.7907 data_time: 0.0352 memory: 10572 loss: 0.7936 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0496 loss_cls: 0.2225 acc: 92.1875 loss_bbox: 0.2725 loss_mask: 0.2207 +2024/01/15 22:02:51 - mmengine - INFO - Epoch(train) [4][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:43:07 time: 0.7794 data_time: 0.0395 memory: 9551 loss: 0.7337 loss_rpn_cls: 0.0336 loss_rpn_bbox: 0.0436 loss_cls: 0.2018 acc: 80.6641 loss_bbox: 0.2496 loss_mask: 0.2052 +2024/01/15 22:03:30 - mmengine - INFO - Epoch(train) [4][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:42:27 time: 0.7923 data_time: 0.0315 memory: 10583 loss: 0.7136 loss_rpn_cls: 0.0333 loss_rpn_bbox: 0.0356 loss_cls: 0.1918 acc: 91.6016 loss_bbox: 0.2348 loss_mask: 0.2181 +2024/01/15 22:04:11 - mmengine - INFO - Epoch(train) [4][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:41:54 time: 0.8086 data_time: 0.0330 memory: 10792 loss: 0.6781 loss_rpn_cls: 0.0320 loss_rpn_bbox: 0.0385 loss_cls: 0.1690 acc: 99.8047 loss_bbox: 0.2152 loss_mask: 0.2233 +2024/01/15 22:04:50 - mmengine - INFO - Epoch(train) [4][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:41:10 time: 0.7831 data_time: 0.0325 memory: 11102 loss: 0.8462 loss_rpn_cls: 0.0368 loss_rpn_bbox: 0.0417 loss_cls: 0.2246 acc: 99.8047 loss_bbox: 0.2717 loss_mask: 0.2715 +2024/01/15 22:05:31 - mmengine - INFO - Epoch(train) [4][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:40:38 time: 0.8116 data_time: 0.0307 memory: 9417 loss: 0.7834 loss_rpn_cls: 0.0482 loss_rpn_bbox: 0.0463 loss_cls: 0.2011 acc: 86.3281 loss_bbox: 0.2537 loss_mask: 0.2341 +2024/01/15 22:05:54 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 22:05:54 - mmengine - INFO - Saving checkpoint at 4 epochs +2024/01/15 22:06:09 - mmengine - INFO - Epoch(val) [4][ 50/313] eta: 0:00:58 time: 0.2215 data_time: 0.0564 memory: 10660 +2024/01/15 22:06:19 - mmengine - INFO - Epoch(val) [4][100/313] eta: 0:00:45 time: 0.2019 data_time: 0.0370 memory: 2388 +2024/01/15 22:06:29 - mmengine - INFO - Epoch(val) [4][150/313] eta: 0:00:33 time: 0.1981 data_time: 0.0367 memory: 2431 +2024/01/15 22:06:39 - mmengine - INFO - Epoch(val) [4][200/313] eta: 0:00:23 time: 0.1949 data_time: 0.0310 memory: 2403 +2024/01/15 22:06:48 - mmengine - INFO - Epoch(val) [4][250/313] eta: 0:00:12 time: 0.1852 data_time: 0.0255 memory: 2431 +2024/01/15 22:06:58 - mmengine - INFO - Epoch(val) [4][300/313] eta: 0:00:02 time: 0.2039 data_time: 0.0403 memory: 2403 +2024/01/15 22:07:09 - mmengine - INFO - Evaluating bbox... +2024/01/15 22:07:37 - mmengine - INFO - bbox_mAP_copypaste: 0.432 0.664 0.478 0.264 0.476 0.573 +2024/01/15 22:07:37 - mmengine - INFO - Evaluating segm... +2024/01/15 22:08:13 - mmengine - INFO - segm_mAP_copypaste: 0.396 0.630 0.423 0.198 0.431 0.587 +2024/01/15 22:08:14 - mmengine - INFO - Epoch(val) [4][313/313] coco/bbox_mAP: 0.4320 coco/bbox_mAP_50: 0.6640 coco/bbox_mAP_75: 0.4780 coco/bbox_mAP_s: 0.2640 coco/bbox_mAP_m: 0.4760 coco/bbox_mAP_l: 0.5730 coco/segm_mAP: 0.3960 coco/segm_mAP_50: 0.6300 coco/segm_mAP_75: 0.4230 coco/segm_mAP_s: 0.1980 coco/segm_mAP_m: 0.4310 coco/segm_mAP_l: 0.5870 data_time: 0.0363 time: 0.1992 +2024/01/15 22:08:54 - mmengine - INFO - Epoch(train) [5][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:39:36 time: 0.8060 data_time: 0.0362 memory: 9599 loss: 0.7279 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0337 loss_cls: 0.1964 acc: 98.8281 loss_bbox: 0.2461 loss_mask: 0.2316 +2024/01/15 22:09:34 - mmengine - INFO - Epoch(train) [5][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:38:54 time: 0.7871 data_time: 0.0320 memory: 10789 loss: 0.6555 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0363 loss_cls: 0.1738 acc: 84.3750 loss_bbox: 0.2210 loss_mask: 0.2034 +2024/01/15 22:10:13 - mmengine - INFO - Epoch(train) [5][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:38:15 time: 0.7935 data_time: 0.0374 memory: 10082 loss: 0.8613 loss_rpn_cls: 0.0360 loss_rpn_bbox: 0.0459 loss_cls: 0.2491 acc: 94.9219 loss_bbox: 0.2779 loss_mask: 0.2524 +2024/01/15 22:10:53 - mmengine - INFO - Epoch(train) [5][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:37:35 time: 0.7942 data_time: 0.0310 memory: 10535 loss: 0.7416 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0363 loss_cls: 0.1892 acc: 91.7969 loss_bbox: 0.2651 loss_mask: 0.2235 +2024/01/15 22:11:32 - mmengine - INFO - Epoch(train) [5][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:36:52 time: 0.7834 data_time: 0.0303 memory: 8813 loss: 0.7103 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0416 loss_cls: 0.1857 acc: 98.0469 loss_bbox: 0.2490 loss_mask: 0.2099 +2024/01/15 22:12:11 - mmengine - INFO - Epoch(train) [5][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:36:08 time: 0.7820 data_time: 0.0321 memory: 9949 loss: 0.7413 loss_rpn_cls: 0.0294 loss_rpn_bbox: 0.0456 loss_cls: 0.1833 acc: 95.7031 loss_bbox: 0.2362 loss_mask: 0.2467 +2024/01/15 22:12:51 - mmengine - INFO - Epoch(train) [5][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:35:31 time: 0.7990 data_time: 0.0318 memory: 10299 loss: 0.7749 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0401 loss_cls: 0.2043 acc: 88.0859 loss_bbox: 0.2634 loss_mask: 0.2362 +2024/01/15 22:13:31 - mmengine - INFO - Epoch(train) [5][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:34:50 time: 0.7915 data_time: 0.0340 memory: 10145 loss: 0.6686 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0362 loss_cls: 0.1663 acc: 96.4844 loss_bbox: 0.2258 loss_mask: 0.2160 +2024/01/15 22:14:12 - mmengine - INFO - Epoch(train) [5][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:34:21 time: 0.8189 data_time: 0.0356 memory: 11099 loss: 0.7340 loss_rpn_cls: 0.0350 loss_rpn_bbox: 0.0505 loss_cls: 0.2076 acc: 96.2891 loss_bbox: 0.2382 loss_mask: 0.2027 +2024/01/15 22:14:51 - mmengine - INFO - Epoch(train) [5][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:33:36 time: 0.7798 data_time: 0.0288 memory: 10583 loss: 0.5985 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0252 loss_cls: 0.1599 acc: 97.6562 loss_bbox: 0.2074 loss_mask: 0.1883 +2024/01/15 22:15:30 - mmengine - INFO - Epoch(train) [5][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:32:56 time: 0.7929 data_time: 0.0328 memory: 10572 loss: 0.7066 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0362 loss_cls: 0.1770 acc: 98.8281 loss_bbox: 0.2258 loss_mask: 0.2397 +2024/01/15 22:16:10 - mmengine - INFO - Epoch(train) [5][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:32:17 time: 0.7948 data_time: 0.0365 memory: 10094 loss: 0.7198 loss_rpn_cls: 0.0330 loss_rpn_bbox: 0.0382 loss_cls: 0.1935 acc: 91.7969 loss_bbox: 0.2431 loss_mask: 0.2120 +2024/01/15 22:16:50 - mmengine - INFO - Epoch(train) [5][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:31:38 time: 0.7947 data_time: 0.0310 memory: 10568 loss: 0.6656 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0356 loss_cls: 0.1969 acc: 93.9453 loss_bbox: 0.2126 loss_mask: 0.1987 +2024/01/15 22:17:15 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 22:17:31 - mmengine - INFO - Epoch(train) [5][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:31:08 time: 0.8168 data_time: 0.0333 memory: 9800 loss: 0.8324 loss_rpn_cls: 0.0460 loss_rpn_bbox: 0.0464 loss_cls: 0.2193 acc: 80.4688 loss_bbox: 0.2693 loss_mask: 0.2513 +2024/01/15 22:18:11 - mmengine - INFO - Epoch(train) [5][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:30:33 time: 0.8036 data_time: 0.0271 memory: 9318 loss: 0.7537 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0389 loss_cls: 0.1987 acc: 83.2031 loss_bbox: 0.2486 loss_mask: 0.2394 +2024/01/15 22:18:52 - mmengine - INFO - Epoch(train) [5][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:30:01 time: 0.8144 data_time: 0.0293 memory: 10225 loss: 0.6988 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0344 loss_cls: 0.1878 acc: 99.6094 loss_bbox: 0.2369 loss_mask: 0.2130 +2024/01/15 22:19:31 - mmengine - INFO - Epoch(train) [5][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:29:17 time: 0.7823 data_time: 0.0303 memory: 10582 loss: 0.6779 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0345 loss_cls: 0.1744 acc: 85.1562 loss_bbox: 0.2337 loss_mask: 0.2090 +2024/01/15 22:20:11 - mmengine - INFO - Epoch(train) [5][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:28:41 time: 0.8006 data_time: 0.0343 memory: 10786 loss: 0.7484 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0391 loss_cls: 0.1971 acc: 87.5000 loss_bbox: 0.2448 loss_mask: 0.2385 +2024/01/15 22:20:50 - mmengine - INFO - Epoch(train) [5][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:27:56 time: 0.7805 data_time: 0.0377 memory: 10347 loss: 0.7438 loss_rpn_cls: 0.0441 loss_rpn_bbox: 0.0440 loss_cls: 0.1996 acc: 98.4375 loss_bbox: 0.2467 loss_mask: 0.2094 +2024/01/15 22:21:29 - mmengine - INFO - Epoch(train) [5][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:27:16 time: 0.7917 data_time: 0.0352 memory: 10572 loss: 0.7708 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0457 loss_cls: 0.1988 acc: 98.6328 loss_bbox: 0.2590 loss_mask: 0.2425 +2024/01/15 22:22:09 - mmengine - INFO - Epoch(train) [5][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:26:37 time: 0.7940 data_time: 0.0300 memory: 10067 loss: 0.6541 loss_rpn_cls: 0.0274 loss_rpn_bbox: 0.0286 loss_cls: 0.1708 acc: 93.5547 loss_bbox: 0.2160 loss_mask: 0.2113 +2024/01/15 22:22:48 - mmengine - INFO - Epoch(train) [5][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:25:52 time: 0.7813 data_time: 0.0339 memory: 10067 loss: 0.8056 loss_rpn_cls: 0.0363 loss_rpn_bbox: 0.0407 loss_cls: 0.2259 acc: 95.8984 loss_bbox: 0.2712 loss_mask: 0.2314 +2024/01/15 22:23:28 - mmengine - INFO - Epoch(train) [5][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:25:13 time: 0.7950 data_time: 0.0363 memory: 10456 loss: 0.6482 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0257 loss_cls: 0.1783 acc: 90.8203 loss_bbox: 0.2197 loss_mask: 0.1964 +2024/01/15 22:24:08 - mmengine - INFO - Epoch(train) [5][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:24:35 time: 0.7967 data_time: 0.0339 memory: 10572 loss: 0.7612 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0302 loss_cls: 0.2064 acc: 85.5469 loss_bbox: 0.2644 loss_mask: 0.2369 +2024/01/15 22:24:48 - mmengine - INFO - Epoch(train) [5][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:23:57 time: 0.7973 data_time: 0.0316 memory: 10060 loss: 0.7260 loss_rpn_cls: 0.0303 loss_rpn_bbox: 0.0369 loss_cls: 0.1944 acc: 98.6328 loss_bbox: 0.2404 loss_mask: 0.2241 +2024/01/15 22:25:27 - mmengine - INFO - Epoch(train) [5][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:23:12 time: 0.7777 data_time: 0.0336 memory: 9758 loss: 0.6890 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0375 loss_cls: 0.1854 acc: 98.4375 loss_bbox: 0.2269 loss_mask: 0.2080 +2024/01/15 22:26:06 - mmengine - INFO - Epoch(train) [5][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:22:32 time: 0.7928 data_time: 0.0333 memory: 9600 loss: 0.7002 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0402 loss_cls: 0.1824 acc: 91.4062 loss_bbox: 0.2419 loss_mask: 0.2073 +2024/01/15 22:26:45 - mmengine - INFO - Epoch(train) [5][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:21:47 time: 0.7793 data_time: 0.0331 memory: 10069 loss: 0.7310 loss_rpn_cls: 0.0395 loss_rpn_bbox: 0.0374 loss_cls: 0.1930 acc: 82.0312 loss_bbox: 0.2239 loss_mask: 0.2373 +2024/01/15 22:27:25 - mmengine - INFO - Epoch(train) [5][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:21:11 time: 0.8025 data_time: 0.0316 memory: 10572 loss: 0.6906 loss_rpn_cls: 0.0295 loss_rpn_bbox: 0.0332 loss_cls: 0.1838 acc: 94.5312 loss_bbox: 0.2238 loss_mask: 0.2203 +2024/01/15 22:28:05 - mmengine - INFO - Epoch(train) [5][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:20:29 time: 0.7866 data_time: 0.0346 memory: 10232 loss: 0.7550 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0406 loss_cls: 0.1954 acc: 95.7031 loss_bbox: 0.2590 loss_mask: 0.2358 +2024/01/15 22:28:43 - mmengine - INFO - Epoch(train) [5][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:19:42 time: 0.7743 data_time: 0.0316 memory: 10568 loss: 0.7283 loss_rpn_cls: 0.0335 loss_rpn_bbox: 0.0368 loss_cls: 0.1980 acc: 91.9922 loss_bbox: 0.2264 loss_mask: 0.2336 +2024/01/15 22:29:22 - mmengine - INFO - Epoch(train) [5][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:18:57 time: 0.7797 data_time: 0.0298 memory: 10572 loss: 0.6968 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0367 loss_cls: 0.1829 acc: 96.0938 loss_bbox: 0.2355 loss_mask: 0.2167 +2024/01/15 22:30:03 - mmengine - INFO - Epoch(train) [5][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:18:22 time: 0.8037 data_time: 0.0388 memory: 10067 loss: 0.7205 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0382 loss_cls: 0.1940 acc: 78.7109 loss_bbox: 0.2406 loss_mask: 0.2232 +2024/01/15 22:30:26 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 22:30:42 - mmengine - INFO - Epoch(train) [5][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:17:43 time: 0.7961 data_time: 0.0335 memory: 10087 loss: 0.6775 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0320 loss_cls: 0.1667 acc: 93.3594 loss_bbox: 0.2307 loss_mask: 0.2215 +2024/01/15 22:31:22 - mmengine - INFO - Epoch(train) [5][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:17:02 time: 0.7894 data_time: 0.0301 memory: 10278 loss: 0.6034 loss_rpn_cls: 0.0250 loss_rpn_bbox: 0.0305 loss_cls: 0.1540 acc: 99.4141 loss_bbox: 0.2047 loss_mask: 0.1892 +2024/01/15 22:32:02 - mmengine - INFO - Epoch(train) [5][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:16:23 time: 0.7950 data_time: 0.0408 memory: 9459 loss: 0.7807 loss_rpn_cls: 0.0287 loss_rpn_bbox: 0.0381 loss_cls: 0.2123 acc: 87.5000 loss_bbox: 0.2724 loss_mask: 0.2293 +2024/01/15 22:32:40 - mmengine - INFO - Epoch(train) [5][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:15:37 time: 0.7752 data_time: 0.0321 memory: 10837 loss: 0.6938 loss_rpn_cls: 0.0291 loss_rpn_bbox: 0.0390 loss_cls: 0.1709 acc: 86.5234 loss_bbox: 0.2376 loss_mask: 0.2172 +2024/01/15 22:33:20 - mmengine - INFO - Epoch(train) [5][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:14:56 time: 0.7890 data_time: 0.0345 memory: 10067 loss: 0.7558 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0399 loss_cls: 0.2167 acc: 87.5000 loss_bbox: 0.2493 loss_mask: 0.2224 +2024/01/15 22:34:00 - mmengine - INFO - Epoch(train) [5][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:14:20 time: 0.8027 data_time: 0.0346 memory: 10565 loss: 0.7957 loss_rpn_cls: 0.0454 loss_rpn_bbox: 0.0525 loss_cls: 0.2055 acc: 79.1016 loss_bbox: 0.2632 loss_mask: 0.2290 +2024/01/15 22:34:39 - mmengine - INFO - Epoch(train) [5][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:13:37 time: 0.7849 data_time: 0.0375 memory: 10786 loss: 0.8962 loss_rpn_cls: 0.0340 loss_rpn_bbox: 0.0497 loss_cls: 0.2491 acc: 94.9219 loss_bbox: 0.3100 loss_mask: 0.2534 +2024/01/15 22:35:18 - mmengine - INFO - Epoch(train) [5][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:12:54 time: 0.7830 data_time: 0.0346 memory: 11102 loss: 0.6988 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0424 loss_cls: 0.1832 acc: 99.8047 loss_bbox: 0.2304 loss_mask: 0.2179 +2024/01/15 22:35:58 - mmengine - INFO - Epoch(train) [5][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:12:11 time: 0.7849 data_time: 0.0315 memory: 9253 loss: 0.7858 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0354 loss_cls: 0.2095 acc: 99.2188 loss_bbox: 0.2729 loss_mask: 0.2426 +2024/01/15 22:36:37 - mmengine - INFO - Epoch(train) [5][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:11:28 time: 0.7827 data_time: 0.0393 memory: 11027 loss: 0.8696 loss_rpn_cls: 0.0348 loss_rpn_bbox: 0.0525 loss_cls: 0.2396 acc: 86.5234 loss_bbox: 0.2972 loss_mask: 0.2455 +2024/01/15 22:37:16 - mmengine - INFO - Epoch(train) [5][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:10:48 time: 0.7927 data_time: 0.0364 memory: 10568 loss: 0.7180 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0299 loss_cls: 0.1967 acc: 98.6328 loss_bbox: 0.2392 loss_mask: 0.2296 +2024/01/15 22:37:56 - mmengine - INFO - Epoch(train) [5][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:10:05 time: 0.7843 data_time: 0.0293 memory: 10508 loss: 0.7073 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0352 loss_cls: 0.1889 acc: 83.3984 loss_bbox: 0.2281 loss_mask: 0.2263 +2024/01/15 22:38:35 - mmengine - INFO - Epoch(train) [5][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:09:24 time: 0.7877 data_time: 0.0328 memory: 10295 loss: 0.6451 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0348 loss_cls: 0.1687 acc: 88.0859 loss_bbox: 0.2165 loss_mask: 0.2024 +2024/01/15 22:39:15 - mmengine - INFO - Epoch(train) [5][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:08:49 time: 0.8077 data_time: 0.0322 memory: 10329 loss: 0.7476 loss_rpn_cls: 0.0287 loss_rpn_bbox: 0.0346 loss_cls: 0.2029 acc: 94.5312 loss_bbox: 0.2415 loss_mask: 0.2399 +2024/01/15 22:39:55 - mmengine - INFO - Epoch(train) [5][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:08:08 time: 0.7891 data_time: 0.0284 memory: 10572 loss: 0.6936 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0270 loss_cls: 0.1857 acc: 96.2891 loss_bbox: 0.2322 loss_mask: 0.2252 +2024/01/15 22:40:34 - mmengine - INFO - Epoch(train) [5][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:07:28 time: 0.7902 data_time: 0.0328 memory: 9601 loss: 0.7354 loss_rpn_cls: 0.0417 loss_rpn_bbox: 0.0404 loss_cls: 0.2024 acc: 87.6953 loss_bbox: 0.2350 loss_mask: 0.2159 +2024/01/15 22:41:14 - mmengine - INFO - Epoch(train) [5][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:06:49 time: 0.7950 data_time: 0.0319 memory: 10583 loss: 0.6646 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0270 loss_cls: 0.1641 acc: 98.0469 loss_bbox: 0.2145 loss_mask: 0.2390 +2024/01/15 22:41:53 - mmengine - INFO - Epoch(train) [5][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:06:06 time: 0.7853 data_time: 0.0348 memory: 8824 loss: 0.7905 loss_rpn_cls: 0.0405 loss_rpn_bbox: 0.0480 loss_cls: 0.2192 acc: 90.0391 loss_bbox: 0.2594 loss_mask: 0.2234 +2024/01/15 22:42:33 - mmengine - INFO - Epoch(train) [5][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:05:24 time: 0.7845 data_time: 0.0317 memory: 10789 loss: 0.6918 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0313 loss_cls: 0.1822 acc: 84.1797 loss_bbox: 0.2435 loss_mask: 0.2115 +2024/01/15 22:43:12 - mmengine - INFO - Epoch(train) [5][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:04:44 time: 0.7923 data_time: 0.0359 memory: 9949 loss: 0.6607 loss_rpn_cls: 0.0274 loss_rpn_bbox: 0.0309 loss_cls: 0.1678 acc: 91.6016 loss_bbox: 0.2206 loss_mask: 0.2141 +2024/01/15 22:43:36 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 22:43:51 - mmengine - INFO - Epoch(train) [5][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:04:01 time: 0.7854 data_time: 0.0308 memory: 9601 loss: 0.6666 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0318 loss_cls: 0.1725 acc: 83.5938 loss_bbox: 0.2286 loss_mask: 0.2080 +2024/01/15 22:44:31 - mmengine - INFO - Epoch(train) [5][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:03:21 time: 0.7897 data_time: 0.0335 memory: 11102 loss: 0.7485 loss_rpn_cls: 0.0291 loss_rpn_bbox: 0.0331 loss_cls: 0.2271 acc: 88.2812 loss_bbox: 0.2295 loss_mask: 0.2297 +2024/01/15 22:45:11 - mmengine - INFO - Epoch(train) [5][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:02:45 time: 0.8043 data_time: 0.0369 memory: 10583 loss: 0.8672 loss_rpn_cls: 0.0454 loss_rpn_bbox: 0.0527 loss_cls: 0.2345 acc: 94.9219 loss_bbox: 0.2821 loss_mask: 0.2525 +2024/01/15 22:45:51 - mmengine - INFO - Epoch(train) [5][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:02:05 time: 0.7930 data_time: 0.0352 memory: 10067 loss: 0.8516 loss_rpn_cls: 0.0372 loss_rpn_bbox: 0.0546 loss_cls: 0.2163 acc: 89.4531 loss_bbox: 0.2954 loss_mask: 0.2481 +2024/01/15 22:46:30 - mmengine - INFO - Epoch(train) [5][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:01:21 time: 0.7807 data_time: 0.0313 memory: 11026 loss: 0.7911 loss_rpn_cls: 0.0357 loss_rpn_bbox: 0.0444 loss_cls: 0.2149 acc: 99.6094 loss_bbox: 0.2628 loss_mask: 0.2333 +2024/01/15 22:47:10 - mmengine - INFO - Epoch(train) [5][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:00:43 time: 0.7966 data_time: 0.0340 memory: 10395 loss: 0.7204 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0328 loss_cls: 0.1805 acc: 89.6484 loss_bbox: 0.2415 loss_mask: 0.2379 +2024/01/15 22:47:50 - mmengine - INFO - Epoch(train) [5][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 3:00:06 time: 0.8011 data_time: 0.0324 memory: 10572 loss: 0.6478 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0318 loss_cls: 0.1795 acc: 99.0234 loss_bbox: 0.2088 loss_mask: 0.2019 +2024/01/15 22:48:30 - mmengine - INFO - Epoch(train) [5][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:59:34 time: 0.8124 data_time: 0.0352 memory: 9366 loss: 0.6880 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0375 loss_cls: 0.1851 acc: 76.9531 loss_bbox: 0.2334 loss_mask: 0.2032 +2024/01/15 22:49:10 - mmengine - INFO - Epoch(train) [5][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:58:52 time: 0.7875 data_time: 0.0304 memory: 8663 loss: 0.6494 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0285 loss_cls: 0.1778 acc: 90.2344 loss_bbox: 0.2181 loss_mask: 0.2064 +2024/01/15 22:49:49 - mmengine - INFO - Epoch(train) [5][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:58:11 time: 0.7876 data_time: 0.0337 memory: 9598 loss: 0.6455 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0302 loss_cls: 0.1677 acc: 96.2891 loss_bbox: 0.2158 loss_mask: 0.2148 +2024/01/15 22:50:29 - mmengine - INFO - Epoch(train) [5][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:57:31 time: 0.7923 data_time: 0.0338 memory: 10067 loss: 0.7618 loss_rpn_cls: 0.0454 loss_rpn_bbox: 0.0384 loss_cls: 0.2111 acc: 89.0625 loss_bbox: 0.2363 loss_mask: 0.2307 +2024/01/15 22:51:08 - mmengine - INFO - Epoch(train) [5][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:56:48 time: 0.7853 data_time: 0.0302 memory: 9080 loss: 0.7676 loss_rpn_cls: 0.0274 loss_rpn_bbox: 0.0298 loss_cls: 0.2084 acc: 96.2891 loss_bbox: 0.2570 loss_mask: 0.2449 +2024/01/15 22:51:47 - mmengine - INFO - Epoch(train) [5][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:56:07 time: 0.7877 data_time: 0.0322 memory: 9459 loss: 0.6794 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0380 loss_cls: 0.1755 acc: 91.9922 loss_bbox: 0.2229 loss_mask: 0.2225 +2024/01/15 22:52:27 - mmengine - INFO - Epoch(train) [5][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:55:29 time: 0.7979 data_time: 0.0303 memory: 10404 loss: 0.6597 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0376 loss_cls: 0.1667 acc: 98.2422 loss_bbox: 0.2200 loss_mask: 0.2126 +2024/01/15 22:53:07 - mmengine - INFO - Epoch(train) [5][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:54:50 time: 0.7957 data_time: 0.0400 memory: 10067 loss: 0.8180 loss_rpn_cls: 0.0353 loss_rpn_bbox: 0.0430 loss_cls: 0.2260 acc: 92.1875 loss_bbox: 0.2691 loss_mask: 0.2446 +2024/01/15 22:53:47 - mmengine - INFO - Epoch(train) [5][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:54:10 time: 0.7916 data_time: 0.0252 memory: 10402 loss: 0.6274 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0276 loss_cls: 0.1742 acc: 97.2656 loss_bbox: 0.2033 loss_mask: 0.1992 +2024/01/15 22:54:27 - mmengine - INFO - Epoch(train) [5][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:53:32 time: 0.7977 data_time: 0.0285 memory: 10948 loss: 0.7021 loss_rpn_cls: 0.0302 loss_rpn_bbox: 0.0378 loss_cls: 0.1872 acc: 82.0312 loss_bbox: 0.2243 loss_mask: 0.2226 +2024/01/15 22:55:06 - mmengine - INFO - Epoch(train) [5][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:52:50 time: 0.7841 data_time: 0.0329 memory: 10067 loss: 0.7724 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0365 loss_cls: 0.2118 acc: 95.5078 loss_bbox: 0.2541 loss_mask: 0.2404 +2024/01/15 22:55:46 - mmengine - INFO - Epoch(train) [5][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:52:12 time: 0.7994 data_time: 0.0268 memory: 10572 loss: 0.6619 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0336 loss_cls: 0.1698 acc: 98.2422 loss_bbox: 0.2090 loss_mask: 0.2273 +2024/01/15 22:56:26 - mmengine - INFO - Epoch(train) [5][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:51:37 time: 0.8071 data_time: 0.0289 memory: 10986 loss: 0.7105 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0269 loss_cls: 0.1974 acc: 81.4453 loss_bbox: 0.2267 loss_mask: 0.2331 +2024/01/15 22:56:49 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 22:57:04 - mmengine - INFO - Epoch(train) [5][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:50:48 time: 0.7640 data_time: 0.0336 memory: 10361 loss: 0.7089 loss_rpn_cls: 0.0303 loss_rpn_bbox: 0.0428 loss_cls: 0.1907 acc: 76.7578 loss_bbox: 0.2464 loss_mask: 0.1987 +2024/01/15 22:57:43 - mmengine - INFO - Epoch(train) [5][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:50:03 time: 0.7776 data_time: 0.0330 memory: 9847 loss: 0.7971 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0372 loss_cls: 0.2288 acc: 91.4062 loss_bbox: 0.2769 loss_mask: 0.2228 +2024/01/15 22:58:24 - mmengine - INFO - Epoch(train) [5][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:49:28 time: 0.8076 data_time: 0.0376 memory: 11102 loss: 0.7161 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0420 loss_cls: 0.1856 acc: 86.5234 loss_bbox: 0.2355 loss_mask: 0.2255 +2024/01/15 22:59:03 - mmengine - INFO - Epoch(train) [5][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:48:47 time: 0.7870 data_time: 0.0339 memory: 10013 loss: 0.7662 loss_rpn_cls: 0.0302 loss_rpn_bbox: 0.0309 loss_cls: 0.2168 acc: 94.9219 loss_bbox: 0.2581 loss_mask: 0.2303 +2024/01/15 22:59:42 - mmengine - INFO - Epoch(train) [5][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:47:59 time: 0.7713 data_time: 0.0409 memory: 10679 loss: 0.8049 loss_rpn_cls: 0.0337 loss_rpn_bbox: 0.0478 loss_cls: 0.2214 acc: 92.9688 loss_bbox: 0.2706 loss_mask: 0.2314 +2024/01/15 23:00:21 - mmengine - INFO - Epoch(train) [5][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:47:20 time: 0.7950 data_time: 0.0305 memory: 9833 loss: 0.6998 loss_rpn_cls: 0.0371 loss_rpn_bbox: 0.0338 loss_cls: 0.1819 acc: 99.6094 loss_bbox: 0.2317 loss_mask: 0.2154 +2024/01/15 23:01:01 - mmengine - INFO - Epoch(train) [5][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:46:42 time: 0.7968 data_time: 0.0321 memory: 9949 loss: 0.7350 loss_rpn_cls: 0.0305 loss_rpn_bbox: 0.0381 loss_cls: 0.1873 acc: 99.8047 loss_bbox: 0.2463 loss_mask: 0.2328 +2024/01/15 23:01:41 - mmengine - INFO - Epoch(train) [5][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:46:04 time: 0.7979 data_time: 0.0382 memory: 10453 loss: 0.8121 loss_rpn_cls: 0.0345 loss_rpn_bbox: 0.0409 loss_cls: 0.2191 acc: 99.0234 loss_bbox: 0.2794 loss_mask: 0.2382 +2024/01/15 23:02:21 - mmengine - INFO - Epoch(train) [5][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:45:25 time: 0.7946 data_time: 0.0318 memory: 11026 loss: 0.6467 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0266 loss_cls: 0.1683 acc: 99.4141 loss_bbox: 0.2190 loss_mask: 0.2199 +2024/01/15 23:03:00 - mmengine - INFO - Epoch(train) [5][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:44:44 time: 0.7888 data_time: 0.0342 memory: 10177 loss: 0.6917 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0351 loss_cls: 0.1942 acc: 85.1562 loss_bbox: 0.2301 loss_mask: 0.2030 +2024/01/15 23:03:40 - mmengine - INFO - Epoch(train) [5][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:44:07 time: 0.8012 data_time: 0.0320 memory: 10278 loss: 0.6897 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0323 loss_cls: 0.1813 acc: 88.4766 loss_bbox: 0.2158 loss_mask: 0.2339 +2024/01/15 23:04:20 - mmengine - INFO - Epoch(train) [5][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:43:25 time: 0.7850 data_time: 0.0284 memory: 9437 loss: 0.7428 loss_rpn_cls: 0.0319 loss_rpn_bbox: 0.0377 loss_cls: 0.2003 acc: 95.3125 loss_bbox: 0.2326 loss_mask: 0.2403 +2024/01/15 23:05:00 - mmengine - INFO - Epoch(train) [5][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:42:48 time: 0.8007 data_time: 0.0353 memory: 10067 loss: 0.7755 loss_rpn_cls: 0.0312 loss_rpn_bbox: 0.0399 loss_cls: 0.2145 acc: 98.0469 loss_bbox: 0.2402 loss_mask: 0.2497 +2024/01/15 23:05:39 - mmengine - INFO - Epoch(train) [5][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:42:07 time: 0.7886 data_time: 0.0327 memory: 10583 loss: 0.7958 loss_rpn_cls: 0.0289 loss_rpn_bbox: 0.0461 loss_cls: 0.2011 acc: 98.8281 loss_bbox: 0.2566 loss_mask: 0.2630 +2024/01/15 23:06:18 - mmengine - INFO - Epoch(train) [5][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:41:24 time: 0.7826 data_time: 0.0320 memory: 10318 loss: 0.7135 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0345 loss_cls: 0.1956 acc: 99.6094 loss_bbox: 0.2525 loss_mask: 0.2126 +2024/01/15 23:06:57 - mmengine - INFO - Epoch(train) [5][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:40:42 time: 0.7849 data_time: 0.0347 memory: 10231 loss: 0.7143 loss_rpn_cls: 0.0391 loss_rpn_bbox: 0.0415 loss_cls: 0.1835 acc: 99.6094 loss_bbox: 0.2369 loss_mask: 0.2133 +2024/01/15 23:07:37 - mmengine - INFO - Epoch(train) [5][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:40:01 time: 0.7913 data_time: 0.0338 memory: 9362 loss: 0.7569 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0395 loss_cls: 0.2191 acc: 84.7656 loss_bbox: 0.2565 loss_mask: 0.2105 +2024/01/15 23:08:17 - mmengine - INFO - Epoch(train) [5][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:39:25 time: 0.8031 data_time: 0.0392 memory: 10067 loss: 0.6849 loss_rpn_cls: 0.0274 loss_rpn_bbox: 0.0352 loss_cls: 0.1810 acc: 87.6953 loss_bbox: 0.2161 loss_mask: 0.2251 +2024/01/15 23:08:57 - mmengine - INFO - Epoch(train) [5][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:38:45 time: 0.7922 data_time: 0.0339 memory: 10067 loss: 0.7554 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0368 loss_cls: 0.2118 acc: 93.9453 loss_bbox: 0.2558 loss_mask: 0.2224 +2024/01/15 23:09:36 - mmengine - INFO - Epoch(train) [5][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:38:04 time: 0.7878 data_time: 0.0272 memory: 9253 loss: 0.5931 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0220 loss_cls: 0.1499 acc: 99.4141 loss_bbox: 0.1958 loss_mask: 0.2053 +2024/01/15 23:10:00 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 23:10:17 - mmengine - INFO - Epoch(train) [5][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:37:30 time: 0.8086 data_time: 0.0336 memory: 10572 loss: 0.7029 loss_rpn_cls: 0.0362 loss_rpn_bbox: 0.0349 loss_cls: 0.1918 acc: 99.2188 loss_bbox: 0.2350 loss_mask: 0.2051 +2024/01/15 23:10:56 - mmengine - INFO - Epoch(train) [5][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:36:48 time: 0.7879 data_time: 0.0329 memory: 10373 loss: 0.6591 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0273 loss_cls: 0.1698 acc: 99.6094 loss_bbox: 0.2176 loss_mask: 0.2223 +2024/01/15 23:11:36 - mmengine - INFO - Epoch(train) [5][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:36:13 time: 0.8053 data_time: 0.0360 memory: 10067 loss: 0.7153 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0309 loss_cls: 0.1868 acc: 90.2344 loss_bbox: 0.2413 loss_mask: 0.2327 +2024/01/15 23:12:15 - mmengine - INFO - Epoch(train) [5][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:35:28 time: 0.7788 data_time: 0.0307 memory: 10265 loss: 0.6389 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0266 loss_cls: 0.1647 acc: 87.1094 loss_bbox: 0.2056 loss_mask: 0.2139 +2024/01/15 23:12:55 - mmengine - INFO - Epoch(train) [5][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:34:53 time: 0.8039 data_time: 0.0353 memory: 10176 loss: 0.7721 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0425 loss_cls: 0.1952 acc: 87.3047 loss_bbox: 0.2594 loss_mask: 0.2426 +2024/01/15 23:13:34 - mmengine - INFO - Epoch(train) [5][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:34:08 time: 0.7788 data_time: 0.0298 memory: 10067 loss: 0.6193 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0324 loss_cls: 0.1680 acc: 94.3359 loss_bbox: 0.1871 loss_mask: 0.2031 +2024/01/15 23:14:14 - mmengine - INFO - Epoch(train) [5][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:33:28 time: 0.7921 data_time: 0.0289 memory: 9707 loss: 0.7067 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0319 loss_cls: 0.1892 acc: 93.9453 loss_bbox: 0.2445 loss_mask: 0.2128 +2024/01/15 23:14:53 - mmengine - INFO - Epoch(train) [5][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:32:43 time: 0.7775 data_time: 0.0309 memory: 9508 loss: 0.7073 loss_rpn_cls: 0.0345 loss_rpn_bbox: 0.0330 loss_cls: 0.1947 acc: 87.5000 loss_bbox: 0.2368 loss_mask: 0.2084 +2024/01/15 23:15:32 - mmengine - INFO - Epoch(train) [5][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:32:04 time: 0.7924 data_time: 0.0358 memory: 9601 loss: 0.7402 loss_rpn_cls: 0.0356 loss_rpn_bbox: 0.0407 loss_cls: 0.1926 acc: 97.2656 loss_bbox: 0.2433 loss_mask: 0.2279 +2024/01/15 23:16:12 - mmengine - INFO - Epoch(train) [5][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:31:25 time: 0.7961 data_time: 0.0358 memory: 9947 loss: 0.6532 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0371 loss_cls: 0.1779 acc: 98.0469 loss_bbox: 0.2185 loss_mask: 0.1985 +2024/01/15 23:16:52 - mmengine - INFO - Epoch(train) [5][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:30:43 time: 0.7866 data_time: 0.0338 memory: 8758 loss: 0.8145 loss_rpn_cls: 0.0382 loss_rpn_bbox: 0.0432 loss_cls: 0.2296 acc: 81.6406 loss_bbox: 0.2580 loss_mask: 0.2454 +2024/01/15 23:17:30 - mmengine - INFO - Epoch(train) [5][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:29:58 time: 0.7756 data_time: 0.0302 memory: 9459 loss: 0.6606 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0320 loss_cls: 0.1700 acc: 96.0938 loss_bbox: 0.2209 loss_mask: 0.2109 +2024/01/15 23:18:10 - mmengine - INFO - Epoch(train) [5][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:29:19 time: 0.7943 data_time: 0.0389 memory: 10572 loss: 0.7702 loss_rpn_cls: 0.0456 loss_rpn_bbox: 0.0486 loss_cls: 0.2023 acc: 88.2812 loss_bbox: 0.2497 loss_mask: 0.2240 +2024/01/15 23:18:50 - mmengine - INFO - Epoch(train) [5][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:28:42 time: 0.8007 data_time: 0.0318 memory: 10277 loss: 0.6917 loss_rpn_cls: 0.0343 loss_rpn_bbox: 0.0357 loss_cls: 0.1860 acc: 88.6719 loss_bbox: 0.2262 loss_mask: 0.2095 +2024/01/15 23:19:30 - mmengine - INFO - Epoch(train) [5][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:28:03 time: 0.7959 data_time: 0.0315 memory: 10635 loss: 0.6974 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0365 loss_cls: 0.1973 acc: 95.7031 loss_bbox: 0.2288 loss_mask: 0.2079 +2024/01/15 23:20:09 - mmengine - INFO - Epoch(train) [5][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:27:17 time: 0.7739 data_time: 0.0270 memory: 10649 loss: 0.5911 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0392 loss_cls: 0.1446 acc: 99.2188 loss_bbox: 0.1858 loss_mask: 0.1953 +2024/01/15 23:20:48 - mmengine - INFO - Epoch(train) [5][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:26:37 time: 0.7894 data_time: 0.0294 memory: 10583 loss: 0.7082 loss_rpn_cls: 0.0349 loss_rpn_bbox: 0.0333 loss_cls: 0.1993 acc: 96.6797 loss_bbox: 0.2297 loss_mask: 0.2110 +2024/01/15 23:21:27 - mmengine - INFO - Epoch(train) [5][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:25:52 time: 0.7780 data_time: 0.0326 memory: 9601 loss: 0.7239 loss_rpn_cls: 0.0356 loss_rpn_bbox: 0.0379 loss_cls: 0.1900 acc: 99.2188 loss_bbox: 0.2404 loss_mask: 0.2199 +2024/01/15 23:22:07 - mmengine - INFO - Epoch(train) [5][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:25:12 time: 0.7902 data_time: 0.0320 memory: 10027 loss: 0.7173 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0344 loss_cls: 0.1944 acc: 99.4141 loss_bbox: 0.2351 loss_mask: 0.2252 +2024/01/15 23:22:46 - mmengine - INFO - Epoch(train) [5][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:24:34 time: 0.7977 data_time: 0.0412 memory: 10067 loss: 0.7549 loss_rpn_cls: 0.0335 loss_rpn_bbox: 0.0444 loss_cls: 0.2099 acc: 99.2188 loss_bbox: 0.2467 loss_mask: 0.2204 +2024/01/15 23:23:11 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 23:23:27 - mmengine - INFO - Epoch(train) [5][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:23:58 time: 0.8039 data_time: 0.0364 memory: 9601 loss: 0.7627 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0361 loss_cls: 0.2099 acc: 94.9219 loss_bbox: 0.2583 loss_mask: 0.2323 +2024/01/15 23:24:07 - mmengine - INFO - Epoch(train) [5][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:23:21 time: 0.8020 data_time: 0.0303 memory: 10572 loss: 0.6826 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0405 loss_cls: 0.1804 acc: 99.8047 loss_bbox: 0.2346 loss_mask: 0.2047 +2024/01/15 23:24:47 - mmengine - INFO - Epoch(train) [5][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:22:42 time: 0.7951 data_time: 0.0294 memory: 10067 loss: 0.6312 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0356 loss_cls: 0.1707 acc: 94.1406 loss_bbox: 0.1922 loss_mask: 0.2059 +2024/01/15 23:25:25 - mmengine - INFO - Epoch(train) [5][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:21:54 time: 0.7674 data_time: 0.0282 memory: 10067 loss: 0.6931 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0313 loss_cls: 0.1661 acc: 99.6094 loss_bbox: 0.2169 loss_mask: 0.2543 +2024/01/15 23:26:04 - mmengine - INFO - Epoch(train) [5][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:21:08 time: 0.7727 data_time: 0.0308 memory: 9736 loss: 0.6022 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0265 loss_cls: 0.1553 acc: 98.4375 loss_bbox: 0.1959 loss_mask: 0.2006 +2024/01/15 23:26:43 - mmengine - INFO - Epoch(train) [5][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:20:29 time: 0.7935 data_time: 0.0314 memory: 9253 loss: 0.7794 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0360 loss_cls: 0.2066 acc: 96.0938 loss_bbox: 0.2683 loss_mask: 0.2422 +2024/01/15 23:27:23 - mmengine - INFO - Epoch(train) [5][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:19:51 time: 0.7997 data_time: 0.0284 memory: 10288 loss: 0.7145 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0380 loss_cls: 0.1925 acc: 93.7500 loss_bbox: 0.2311 loss_mask: 0.2285 +2024/01/15 23:28:02 - mmengine - INFO - Epoch(train) [5][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:19:06 time: 0.7767 data_time: 0.0294 memory: 10788 loss: 0.6800 loss_rpn_cls: 0.0346 loss_rpn_bbox: 0.0365 loss_cls: 0.1790 acc: 96.8750 loss_bbox: 0.2175 loss_mask: 0.2123 +2024/01/15 23:28:41 - mmengine - INFO - Epoch(train) [5][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:18:23 time: 0.7814 data_time: 0.0275 memory: 10067 loss: 0.6115 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0286 loss_cls: 0.1547 acc: 96.0938 loss_bbox: 0.1886 loss_mask: 0.2168 +2024/01/15 23:29:20 - mmengine - INFO - Epoch(train) [5][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:17:41 time: 0.7857 data_time: 0.0370 memory: 10572 loss: 0.7571 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0379 loss_cls: 0.2179 acc: 92.7734 loss_bbox: 0.2499 loss_mask: 0.2227 +2024/01/15 23:29:59 - mmengine - INFO - Epoch(train) [5][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:16:57 time: 0.7794 data_time: 0.0339 memory: 10067 loss: 0.6970 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0393 loss_cls: 0.1932 acc: 96.4844 loss_bbox: 0.2268 loss_mask: 0.2110 +2024/01/15 23:30:40 - mmengine - INFO - Epoch(train) [5][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:16:22 time: 0.8064 data_time: 0.0304 memory: 9601 loss: 0.6583 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0283 loss_cls: 0.1780 acc: 92.3828 loss_bbox: 0.2375 loss_mask: 0.1977 +2024/01/15 23:31:19 - mmengine - INFO - Epoch(train) [5][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:15:42 time: 0.7901 data_time: 0.0319 memory: 10572 loss: 0.6829 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0341 loss_cls: 0.1744 acc: 92.1875 loss_bbox: 0.2256 loss_mask: 0.2208 +2024/01/15 23:31:59 - mmengine - INFO - Epoch(train) [5][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:15:01 time: 0.7886 data_time: 0.0322 memory: 10067 loss: 0.6823 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0305 loss_cls: 0.1808 acc: 91.7969 loss_bbox: 0.2337 loss_mask: 0.2129 +2024/01/15 23:32:38 - mmengine - INFO - Epoch(train) [5][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:14:20 time: 0.7881 data_time: 0.0295 memory: 10211 loss: 0.6371 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0289 loss_cls: 0.1642 acc: 89.0625 loss_bbox: 0.1960 loss_mask: 0.2285 +2024/01/15 23:33:17 - mmengine - INFO - Epoch(train) [5][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:13:38 time: 0.7856 data_time: 0.0323 memory: 10067 loss: 0.8067 loss_rpn_cls: 0.0381 loss_rpn_bbox: 0.0435 loss_cls: 0.2115 acc: 86.9141 loss_bbox: 0.2597 loss_mask: 0.2539 +2024/01/15 23:33:57 - mmengine - INFO - Epoch(train) [5][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:12:59 time: 0.7947 data_time: 0.0334 memory: 9603 loss: 0.6036 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0278 loss_cls: 0.1645 acc: 99.2188 loss_bbox: 0.1991 loss_mask: 0.1902 +2024/01/15 23:34:36 - mmengine - INFO - Epoch(train) [5][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:12:14 time: 0.7783 data_time: 0.0328 memory: 10789 loss: 0.6837 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0316 loss_cls: 0.1737 acc: 86.7188 loss_bbox: 0.2384 loss_mask: 0.2128 +2024/01/15 23:35:15 - mmengine - INFO - Epoch(train) [5][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:11:34 time: 0.7896 data_time: 0.0305 memory: 9599 loss: 0.6634 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0282 loss_cls: 0.1755 acc: 94.9219 loss_bbox: 0.2340 loss_mask: 0.2034 +2024/01/15 23:35:55 - mmengine - INFO - Epoch(train) [5][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:10:54 time: 0.7930 data_time: 0.0294 memory: 10714 loss: 0.6993 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0374 loss_cls: 0.1734 acc: 96.0938 loss_bbox: 0.2275 loss_mask: 0.2341 +2024/01/15 23:36:19 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 23:36:35 - mmengine - INFO - Epoch(train) [5][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:10:18 time: 0.8040 data_time: 0.0320 memory: 11102 loss: 0.6742 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0381 loss_cls: 0.1733 acc: 99.8047 loss_bbox: 0.2228 loss_mask: 0.2169 +2024/01/15 23:37:15 - mmengine - INFO - Epoch(train) [5][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:09:38 time: 0.7916 data_time: 0.0327 memory: 10572 loss: 0.6981 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0320 loss_cls: 0.1766 acc: 97.8516 loss_bbox: 0.2408 loss_mask: 0.2228 +2024/01/15 23:37:54 - mmengine - INFO - Epoch(train) [5][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:08:55 time: 0.7800 data_time: 0.0399 memory: 9882 loss: 0.8194 loss_rpn_cls: 0.0359 loss_rpn_bbox: 0.0442 loss_cls: 0.2304 acc: 94.1406 loss_bbox: 0.2654 loss_mask: 0.2436 +2024/01/15 23:38:33 - mmengine - INFO - Epoch(train) [5][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:08:13 time: 0.7878 data_time: 0.0372 memory: 10067 loss: 0.7908 loss_rpn_cls: 0.0349 loss_rpn_bbox: 0.0410 loss_cls: 0.2088 acc: 94.7266 loss_bbox: 0.2600 loss_mask: 0.2461 +2024/01/15 23:39:13 - mmengine - INFO - Epoch(train) [5][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:07:35 time: 0.7953 data_time: 0.0342 memory: 9949 loss: 0.7016 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0370 loss_cls: 0.1973 acc: 91.2109 loss_bbox: 0.2298 loss_mask: 0.2139 +2024/01/15 23:39:53 - mmengine - INFO - Epoch(train) [5][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:06:57 time: 0.7975 data_time: 0.0345 memory: 10067 loss: 0.7291 loss_rpn_cls: 0.0329 loss_rpn_bbox: 0.0382 loss_cls: 0.1764 acc: 83.0078 loss_bbox: 0.2401 loss_mask: 0.2414 +2024/01/15 23:40:33 - mmengine - INFO - Epoch(train) [5][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:06:21 time: 0.8061 data_time: 0.0285 memory: 10067 loss: 0.6513 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0332 loss_cls: 0.1739 acc: 96.6797 loss_bbox: 0.2231 loss_mask: 0.1943 +2024/01/15 23:41:13 - mmengine - INFO - Epoch(train) [5][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:05:40 time: 0.7886 data_time: 0.0378 memory: 10067 loss: 0.7252 loss_rpn_cls: 0.0322 loss_rpn_bbox: 0.0442 loss_cls: 0.1868 acc: 94.5312 loss_bbox: 0.2235 loss_mask: 0.2385 +2024/01/15 23:41:52 - mmengine - INFO - Epoch(train) [5][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:04:59 time: 0.7868 data_time: 0.0369 memory: 10572 loss: 0.7521 loss_rpn_cls: 0.0305 loss_rpn_bbox: 0.0396 loss_cls: 0.2023 acc: 94.9219 loss_bbox: 0.2519 loss_mask: 0.2277 +2024/01/15 23:42:32 - mmengine - INFO - Epoch(train) [5][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:04:20 time: 0.7961 data_time: 0.0306 memory: 11020 loss: 0.6646 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0335 loss_cls: 0.1780 acc: 91.6016 loss_bbox: 0.2159 loss_mask: 0.2129 +2024/01/15 23:43:11 - mmengine - INFO - Epoch(train) [5][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:03:36 time: 0.7777 data_time: 0.0286 memory: 10370 loss: 0.7212 loss_rpn_cls: 0.0363 loss_rpn_bbox: 0.0404 loss_cls: 0.1751 acc: 94.5312 loss_bbox: 0.2271 loss_mask: 0.2423 +2024/01/15 23:43:50 - mmengine - INFO - Epoch(train) [5][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:02:52 time: 0.7773 data_time: 0.0301 memory: 10067 loss: 0.6942 loss_rpn_cls: 0.0323 loss_rpn_bbox: 0.0377 loss_cls: 0.1788 acc: 90.6250 loss_bbox: 0.2214 loss_mask: 0.2239 +2024/01/15 23:44:30 - mmengine - INFO - Epoch(train) [5][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:02:20 time: 0.8172 data_time: 0.0302 memory: 10572 loss: 0.6781 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0394 loss_cls: 0.1695 acc: 91.7969 loss_bbox: 0.2349 loss_mask: 0.2091 +2024/01/15 23:44:54 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 23:44:54 - mmengine - INFO - Saving checkpoint at 5 epochs +2024/01/15 23:45:08 - mmengine - INFO - Epoch(val) [5][ 50/313] eta: 0:00:54 time: 0.2066 data_time: 0.0440 memory: 10067 +2024/01/15 23:45:19 - mmengine - INFO - Epoch(val) [5][100/313] eta: 0:00:44 time: 0.2080 data_time: 0.0453 memory: 2388 +2024/01/15 23:45:28 - mmengine - INFO - Epoch(val) [5][150/313] eta: 0:00:32 time: 0.1925 data_time: 0.0329 memory: 2431 +2024/01/15 23:45:38 - mmengine - INFO - Epoch(val) [5][200/313] eta: 0:00:22 time: 0.2047 data_time: 0.0408 memory: 2403 +2024/01/15 23:45:48 - mmengine - INFO - Epoch(val) [5][250/313] eta: 0:00:12 time: 0.1861 data_time: 0.0281 memory: 2431 +2024/01/15 23:45:58 - mmengine - INFO - Epoch(val) [5][300/313] eta: 0:00:02 time: 0.1981 data_time: 0.0368 memory: 2403 +2024/01/15 23:46:08 - mmengine - INFO - Evaluating bbox... +2024/01/15 23:46:34 - mmengine - INFO - bbox_mAP_copypaste: 0.444 0.673 0.486 0.290 0.481 0.587 +2024/01/15 23:46:34 - mmengine - INFO - Evaluating segm... +2024/01/15 23:47:04 - mmengine - INFO - segm_mAP_copypaste: 0.407 0.643 0.438 0.219 0.437 0.599 +2024/01/15 23:47:05 - mmengine - INFO - Epoch(val) [5][313/313] coco/bbox_mAP: 0.4440 coco/bbox_mAP_50: 0.6730 coco/bbox_mAP_75: 0.4860 coco/bbox_mAP_s: 0.2900 coco/bbox_mAP_m: 0.4810 coco/bbox_mAP_l: 0.5870 coco/segm_mAP: 0.4070 coco/segm_mAP_50: 0.6430 coco/segm_mAP_75: 0.4380 coco/segm_mAP_s: 0.2190 coco/segm_mAP_m: 0.4370 coco/segm_mAP_l: 0.5990 data_time: 0.0365 time: 0.1976 +2024/01/15 23:47:45 - mmengine - INFO - Epoch(train) [6][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:01:17 time: 0.8002 data_time: 0.0378 memory: 10173 loss: 0.7142 loss_rpn_cls: 0.0321 loss_rpn_bbox: 0.0308 loss_cls: 0.1896 acc: 100.0000 loss_bbox: 0.2247 loss_mask: 0.2369 +2024/01/15 23:48:24 - mmengine - INFO - Epoch(train) [6][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 2:00:35 time: 0.7849 data_time: 0.0326 memory: 10583 loss: 0.6676 loss_rpn_cls: 0.0369 loss_rpn_bbox: 0.0329 loss_cls: 0.1753 acc: 84.7656 loss_bbox: 0.2249 loss_mask: 0.1976 +2024/01/15 23:49:04 - mmengine - INFO - Epoch(train) [6][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:59:56 time: 0.7949 data_time: 0.0305 memory: 10299 loss: 0.6349 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0310 loss_cls: 0.1619 acc: 88.2812 loss_bbox: 0.2046 loss_mask: 0.2124 +2024/01/15 23:49:43 - mmengine - INFO - Epoch(train) [6][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:59:14 time: 0.7837 data_time: 0.0312 memory: 9736 loss: 0.6390 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0298 loss_cls: 0.1707 acc: 92.5781 loss_bbox: 0.2158 loss_mask: 0.2020 +2024/01/15 23:50:23 - mmengine - INFO - Epoch(train) [6][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:58:40 time: 0.8113 data_time: 0.0376 memory: 9946 loss: 0.7369 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0353 loss_cls: 0.2088 acc: 89.8438 loss_bbox: 0.2487 loss_mask: 0.2116 +2024/01/15 23:51:03 - mmengine - INFO - Epoch(train) [6][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:58:01 time: 0.7939 data_time: 0.0386 memory: 9598 loss: 0.7379 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0372 loss_cls: 0.2036 acc: 92.5781 loss_bbox: 0.2420 loss_mask: 0.2298 +2024/01/15 23:51:42 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/15 23:51:42 - mmengine - INFO - Epoch(train) [6][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:57:17 time: 0.7782 data_time: 0.0314 memory: 10666 loss: 0.7182 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0330 loss_cls: 0.1890 acc: 89.2578 loss_bbox: 0.2446 loss_mask: 0.2246 +2024/01/15 23:52:22 - mmengine - INFO - Epoch(train) [6][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:56:38 time: 0.7956 data_time: 0.0309 memory: 10572 loss: 0.6671 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0400 loss_cls: 0.1785 acc: 97.0703 loss_bbox: 0.2183 loss_mask: 0.2071 +2024/01/15 23:53:01 - mmengine - INFO - Epoch(train) [6][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:55:54 time: 0.7797 data_time: 0.0290 memory: 9364 loss: 0.6089 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0258 loss_cls: 0.1686 acc: 94.1406 loss_bbox: 0.1986 loss_mask: 0.1990 +2024/01/15 23:53:40 - mmengine - INFO - Epoch(train) [6][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:55:14 time: 0.7906 data_time: 0.0291 memory: 9380 loss: 0.6060 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0288 loss_cls: 0.1589 acc: 100.0000 loss_bbox: 0.1944 loss_mask: 0.2020 +2024/01/15 23:54:20 - mmengine - INFO - Epoch(train) [6][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:54:36 time: 0.7966 data_time: 0.0405 memory: 10572 loss: 0.6910 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0369 loss_cls: 0.1797 acc: 97.6562 loss_bbox: 0.2244 loss_mask: 0.2221 +2024/01/15 23:55:00 - mmengine - INFO - Epoch(train) [6][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:53:55 time: 0.7897 data_time: 0.0361 memory: 10299 loss: 0.7282 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0391 loss_cls: 0.2059 acc: 91.4062 loss_bbox: 0.2370 loss_mask: 0.2234 +2024/01/15 23:55:40 - mmengine - INFO - Epoch(train) [6][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:53:21 time: 0.8091 data_time: 0.0331 memory: 11072 loss: 0.7723 loss_rpn_cls: 0.0310 loss_rpn_bbox: 0.0414 loss_cls: 0.2014 acc: 83.9844 loss_bbox: 0.2533 loss_mask: 0.2452 +2024/01/15 23:56:20 - mmengine - INFO - Epoch(train) [6][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:52:41 time: 0.7924 data_time: 0.0330 memory: 10067 loss: 0.7203 loss_rpn_cls: 0.0386 loss_rpn_bbox: 0.0445 loss_cls: 0.1842 acc: 92.5781 loss_bbox: 0.2312 loss_mask: 0.2216 +2024/01/15 23:57:00 - mmengine - INFO - Epoch(train) [6][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:52:03 time: 0.7980 data_time: 0.0345 memory: 10680 loss: 0.6646 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0389 loss_cls: 0.1629 acc: 91.9922 loss_bbox: 0.2134 loss_mask: 0.2199 +2024/01/15 23:57:39 - mmengine - INFO - Epoch(train) [6][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:51:23 time: 0.7918 data_time: 0.0271 memory: 10067 loss: 0.6183 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0348 loss_cls: 0.1708 acc: 92.7734 loss_bbox: 0.2125 loss_mask: 0.1818 +2024/01/15 23:58:18 - mmengine - INFO - Epoch(train) [6][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:50:39 time: 0.7790 data_time: 0.0350 memory: 9949 loss: 0.7625 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0463 loss_cls: 0.1992 acc: 91.9922 loss_bbox: 0.2601 loss_mask: 0.2290 +2024/01/15 23:58:58 - mmengine - INFO - Epoch(train) [6][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:50:00 time: 0.7942 data_time: 0.0343 memory: 10571 loss: 0.7901 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0406 loss_cls: 0.2015 acc: 97.8516 loss_bbox: 0.2743 loss_mask: 0.2432 +2024/01/15 23:59:38 - mmengine - INFO - Epoch(train) [6][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:49:22 time: 0.7991 data_time: 0.0317 memory: 11102 loss: 0.7184 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0413 loss_cls: 0.1973 acc: 99.2188 loss_bbox: 0.2311 loss_mask: 0.2217 +2024/01/16 00:00:18 - mmengine - INFO - Epoch(train) [6][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:48:45 time: 0.7997 data_time: 0.0355 memory: 10633 loss: 0.7357 loss_rpn_cls: 0.0362 loss_rpn_bbox: 0.0396 loss_cls: 0.1984 acc: 94.3359 loss_bbox: 0.2379 loss_mask: 0.2236 +2024/01/16 00:00:57 - mmengine - INFO - Epoch(train) [6][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:48:04 time: 0.7886 data_time: 0.0310 memory: 11445 loss: 0.6474 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0323 loss_cls: 0.1688 acc: 95.3125 loss_bbox: 0.2162 loss_mask: 0.2134 +2024/01/16 00:01:36 - mmengine - INFO - Epoch(train) [6][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:47:19 time: 0.7750 data_time: 0.0329 memory: 10067 loss: 0.7384 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0409 loss_cls: 0.2042 acc: 77.5391 loss_bbox: 0.2350 loss_mask: 0.2318 +2024/01/16 00:02:15 - mmengine - INFO - Epoch(train) [6][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:46:38 time: 0.7879 data_time: 0.0362 memory: 10063 loss: 0.8236 loss_rpn_cls: 0.0394 loss_rpn_bbox: 0.0392 loss_cls: 0.2154 acc: 88.2812 loss_bbox: 0.2813 loss_mask: 0.2483 +2024/01/16 00:02:54 - mmengine - INFO - Epoch(train) [6][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:45:55 time: 0.7814 data_time: 0.0339 memory: 10572 loss: 0.7850 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0387 loss_cls: 0.2247 acc: 96.8750 loss_bbox: 0.2599 loss_mask: 0.2375 +2024/01/16 00:03:33 - mmengine - INFO - Epoch(train) [6][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:45:11 time: 0.7778 data_time: 0.0342 memory: 9965 loss: 0.8078 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0456 loss_cls: 0.2223 acc: 88.4766 loss_bbox: 0.2682 loss_mask: 0.2413 +2024/01/16 00:04:13 - mmengine - INFO - Epoch(train) [6][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:44:29 time: 0.7843 data_time: 0.0317 memory: 10572 loss: 0.7429 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0375 loss_cls: 0.2027 acc: 99.2188 loss_bbox: 0.2322 loss_mask: 0.2401 +2024/01/16 00:04:52 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 00:04:52 - mmengine - INFO - Epoch(train) [6][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:43:50 time: 0.7932 data_time: 0.0338 memory: 9947 loss: 0.7375 loss_rpn_cls: 0.0323 loss_rpn_bbox: 0.0384 loss_cls: 0.1935 acc: 99.0234 loss_bbox: 0.2496 loss_mask: 0.2238 +2024/01/16 00:05:32 - mmengine - INFO - Epoch(train) [6][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:43:10 time: 0.7939 data_time: 0.0390 memory: 10462 loss: 0.8706 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0522 loss_cls: 0.2322 acc: 99.8047 loss_bbox: 0.3069 loss_mask: 0.2501 +2024/01/16 00:06:12 - mmengine - INFO - Epoch(train) [6][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:42:32 time: 0.7965 data_time: 0.0307 memory: 10875 loss: 0.6435 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0362 loss_cls: 0.1614 acc: 96.4844 loss_bbox: 0.2111 loss_mask: 0.2139 +2024/01/16 00:06:51 - mmengine - INFO - Epoch(train) [6][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:41:52 time: 0.7929 data_time: 0.0364 memory: 10615 loss: 0.7623 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0368 loss_cls: 0.2052 acc: 96.8750 loss_bbox: 0.2476 loss_mask: 0.2470 +2024/01/16 00:07:31 - mmengine - INFO - Epoch(train) [6][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:41:12 time: 0.7897 data_time: 0.0368 memory: 9459 loss: 0.7058 loss_rpn_cls: 0.0315 loss_rpn_bbox: 0.0411 loss_cls: 0.1800 acc: 96.6797 loss_bbox: 0.2315 loss_mask: 0.2216 +2024/01/16 00:08:11 - mmengine - INFO - Epoch(train) [6][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:40:33 time: 0.7947 data_time: 0.0336 memory: 9734 loss: 0.7463 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0461 loss_cls: 0.1927 acc: 97.2656 loss_bbox: 0.2506 loss_mask: 0.2303 +2024/01/16 00:08:51 - mmengine - INFO - Epoch(train) [6][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:39:57 time: 0.8046 data_time: 0.0332 memory: 9601 loss: 0.6807 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0298 loss_cls: 0.1742 acc: 98.8281 loss_bbox: 0.2326 loss_mask: 0.2224 +2024/01/16 00:09:30 - mmengine - INFO - Epoch(train) [6][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:39:15 time: 0.7843 data_time: 0.0368 memory: 11102 loss: 0.8117 loss_rpn_cls: 0.0488 loss_rpn_bbox: 0.0502 loss_cls: 0.1995 acc: 97.8516 loss_bbox: 0.2828 loss_mask: 0.2304 +2024/01/16 00:10:09 - mmengine - INFO - Epoch(train) [6][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:38:30 time: 0.7746 data_time: 0.0304 memory: 10067 loss: 0.6211 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0254 loss_cls: 0.1667 acc: 96.6797 loss_bbox: 0.2117 loss_mask: 0.1918 +2024/01/16 00:10:49 - mmengine - INFO - Epoch(train) [6][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:37:52 time: 0.7997 data_time: 0.0367 memory: 10568 loss: 0.7430 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0418 loss_cls: 0.2032 acc: 84.5703 loss_bbox: 0.2483 loss_mask: 0.2173 +2024/01/16 00:11:28 - mmengine - INFO - Epoch(train) [6][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:37:11 time: 0.7880 data_time: 0.0358 memory: 11102 loss: 0.7112 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0381 loss_cls: 0.1952 acc: 96.4844 loss_bbox: 0.2407 loss_mask: 0.2145 +2024/01/16 00:12:08 - mmengine - INFO - Epoch(train) [6][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:36:33 time: 0.7973 data_time: 0.0399 memory: 11172 loss: 0.7583 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0365 loss_cls: 0.2168 acc: 86.1328 loss_bbox: 0.2582 loss_mask: 0.2248 +2024/01/16 00:12:49 - mmengine - INFO - Epoch(train) [6][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:35:58 time: 0.8104 data_time: 0.0320 memory: 10067 loss: 0.6635 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0382 loss_cls: 0.1595 acc: 99.4141 loss_bbox: 0.2190 loss_mask: 0.2222 +2024/01/16 00:13:28 - mmengine - INFO - Epoch(train) [6][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:35:18 time: 0.7913 data_time: 0.0330 memory: 11115 loss: 0.7260 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0363 loss_cls: 0.2052 acc: 94.9219 loss_bbox: 0.2462 loss_mask: 0.2107 +2024/01/16 00:14:07 - mmengine - INFO - Epoch(train) [6][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:34:33 time: 0.7733 data_time: 0.0374 memory: 10786 loss: 0.7780 loss_rpn_cls: 0.0423 loss_rpn_bbox: 0.0554 loss_cls: 0.1907 acc: 98.8281 loss_bbox: 0.2509 loss_mask: 0.2388 +2024/01/16 00:14:47 - mmengine - INFO - Epoch(train) [6][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:33:54 time: 0.7937 data_time: 0.0300 memory: 9362 loss: 0.6252 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0357 loss_cls: 0.1580 acc: 99.0234 loss_bbox: 0.2076 loss_mask: 0.2014 +2024/01/16 00:15:26 - mmengine - INFO - Epoch(train) [6][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:33:15 time: 0.7939 data_time: 0.0340 memory: 10068 loss: 0.7902 loss_rpn_cls: 0.0380 loss_rpn_bbox: 0.0431 loss_cls: 0.2028 acc: 96.8750 loss_bbox: 0.2653 loss_mask: 0.2410 +2024/01/16 00:16:06 - mmengine - INFO - Epoch(train) [6][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:32:33 time: 0.7842 data_time: 0.0326 memory: 10087 loss: 0.7355 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0348 loss_cls: 0.1950 acc: 89.4531 loss_bbox: 0.2486 loss_mask: 0.2277 +2024/01/16 00:16:45 - mmengine - INFO - Epoch(train) [6][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:31:54 time: 0.7959 data_time: 0.0346 memory: 10522 loss: 0.7314 loss_rpn_cls: 0.0472 loss_rpn_bbox: 0.0521 loss_cls: 0.1908 acc: 97.0703 loss_bbox: 0.2216 loss_mask: 0.2197 +2024/01/16 00:17:25 - mmengine - INFO - Epoch(train) [6][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:31:12 time: 0.7860 data_time: 0.0330 memory: 10067 loss: 0.7326 loss_rpn_cls: 0.0317 loss_rpn_bbox: 0.0356 loss_cls: 0.1980 acc: 97.6562 loss_bbox: 0.2465 loss_mask: 0.2208 +2024/01/16 00:18:04 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 00:18:04 - mmengine - INFO - Epoch(train) [6][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:30:29 time: 0.7802 data_time: 0.0320 memory: 10572 loss: 0.6490 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0321 loss_cls: 0.1837 acc: 99.8047 loss_bbox: 0.2114 loss_mask: 0.1974 +2024/01/16 00:18:43 - mmengine - INFO - Epoch(train) [6][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:29:46 time: 0.7797 data_time: 0.0385 memory: 10712 loss: 0.7662 loss_rpn_cls: 0.0378 loss_rpn_bbox: 0.0453 loss_cls: 0.2093 acc: 90.8203 loss_bbox: 0.2448 loss_mask: 0.2291 +2024/01/16 00:19:22 - mmengine - INFO - Epoch(train) [6][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:29:07 time: 0.7943 data_time: 0.0374 memory: 9599 loss: 0.7416 loss_rpn_cls: 0.0432 loss_rpn_bbox: 0.0483 loss_cls: 0.1903 acc: 87.5000 loss_bbox: 0.2311 loss_mask: 0.2287 +2024/01/16 00:20:02 - mmengine - INFO - Epoch(train) [6][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:28:26 time: 0.7885 data_time: 0.0339 memory: 10023 loss: 0.7498 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0429 loss_cls: 0.1952 acc: 88.8672 loss_bbox: 0.2439 loss_mask: 0.2347 +2024/01/16 00:20:41 - mmengine - INFO - Epoch(train) [6][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:27:43 time: 0.7824 data_time: 0.0320 memory: 9502 loss: 0.7627 loss_rpn_cls: 0.0353 loss_rpn_bbox: 0.0373 loss_cls: 0.2046 acc: 76.1719 loss_bbox: 0.2591 loss_mask: 0.2263 +2024/01/16 00:21:19 - mmengine - INFO - Epoch(train) [6][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:26:58 time: 0.7711 data_time: 0.0286 memory: 10067 loss: 0.6160 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0225 loss_cls: 0.1733 acc: 88.2812 loss_bbox: 0.2067 loss_mask: 0.1997 +2024/01/16 00:21:58 - mmengine - INFO - Epoch(train) [6][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:26:14 time: 0.7776 data_time: 0.0339 memory: 9685 loss: 0.6412 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0299 loss_cls: 0.1734 acc: 83.7891 loss_bbox: 0.2086 loss_mask: 0.2029 +2024/01/16 00:22:38 - mmengine - INFO - Epoch(train) [6][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:25:37 time: 0.8013 data_time: 0.0418 memory: 10067 loss: 0.8429 loss_rpn_cls: 0.0414 loss_rpn_bbox: 0.0564 loss_cls: 0.2330 acc: 89.6484 loss_bbox: 0.2690 loss_mask: 0.2431 +2024/01/16 00:23:18 - mmengine - INFO - Epoch(train) [6][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:24:57 time: 0.7928 data_time: 0.0291 memory: 10420 loss: 0.7000 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0341 loss_cls: 0.1811 acc: 96.2891 loss_bbox: 0.2409 loss_mask: 0.2247 +2024/01/16 00:23:57 - mmengine - INFO - Epoch(train) [6][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:24:16 time: 0.7886 data_time: 0.0357 memory: 10067 loss: 0.7325 loss_rpn_cls: 0.0357 loss_rpn_bbox: 0.0441 loss_cls: 0.1891 acc: 87.1094 loss_bbox: 0.2351 loss_mask: 0.2285 +2024/01/16 00:24:37 - mmengine - INFO - Epoch(train) [6][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:23:38 time: 0.7973 data_time: 0.0324 memory: 9800 loss: 0.6755 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0363 loss_cls: 0.1735 acc: 90.2344 loss_bbox: 0.2314 loss_mask: 0.2115 +2024/01/16 00:25:17 - mmengine - INFO - Epoch(train) [6][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:23:01 time: 0.8010 data_time: 0.0341 memory: 10408 loss: 0.8622 loss_rpn_cls: 0.0393 loss_rpn_bbox: 0.0520 loss_cls: 0.2378 acc: 77.7344 loss_bbox: 0.2823 loss_mask: 0.2509 +2024/01/16 00:25:57 - mmengine - INFO - Epoch(train) [6][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:22:21 time: 0.7905 data_time: 0.0383 memory: 10067 loss: 0.6454 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0347 loss_cls: 0.1646 acc: 94.9219 loss_bbox: 0.2260 loss_mask: 0.1940 +2024/01/16 00:26:37 - mmengine - INFO - Epoch(train) [6][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:21:42 time: 0.7967 data_time: 0.0355 memory: 10278 loss: 0.6800 loss_rpn_cls: 0.0315 loss_rpn_bbox: 0.0343 loss_cls: 0.1896 acc: 94.7266 loss_bbox: 0.2165 loss_mask: 0.2082 +2024/01/16 00:27:16 - mmengine - INFO - Epoch(train) [6][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:21:02 time: 0.7893 data_time: 0.0344 memory: 10404 loss: 0.7044 loss_rpn_cls: 0.0388 loss_rpn_bbox: 0.0359 loss_cls: 0.1868 acc: 92.1875 loss_bbox: 0.2250 loss_mask: 0.2179 +2024/01/16 00:27:56 - mmengine - INFO - Epoch(train) [6][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:20:25 time: 0.8031 data_time: 0.0307 memory: 10572 loss: 0.6792 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0293 loss_cls: 0.1776 acc: 98.2422 loss_bbox: 0.2166 loss_mask: 0.2293 +2024/01/16 00:28:36 - mmengine - INFO - Epoch(train) [6][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:19:46 time: 0.7933 data_time: 0.0337 memory: 9651 loss: 0.6625 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0306 loss_cls: 0.1742 acc: 99.2188 loss_bbox: 0.2197 loss_mask: 0.2104 +2024/01/16 00:29:15 - mmengine - INFO - Epoch(train) [6][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:19:05 time: 0.7874 data_time: 0.0306 memory: 8671 loss: 0.7749 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0422 loss_cls: 0.2107 acc: 85.1562 loss_bbox: 0.2625 loss_mask: 0.2270 +2024/01/16 00:29:55 - mmengine - INFO - Epoch(train) [6][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:18:22 time: 0.7822 data_time: 0.0368 memory: 10583 loss: 0.7739 loss_rpn_cls: 0.0425 loss_rpn_bbox: 0.0402 loss_cls: 0.2019 acc: 90.4297 loss_bbox: 0.2618 loss_mask: 0.2275 +2024/01/16 00:30:34 - mmengine - INFO - Epoch(train) [6][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:17:42 time: 0.7890 data_time: 0.0352 memory: 10215 loss: 0.6916 loss_rpn_cls: 0.0294 loss_rpn_bbox: 0.0409 loss_cls: 0.1958 acc: 93.5547 loss_bbox: 0.2229 loss_mask: 0.2026 +2024/01/16 00:31:13 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 00:31:13 - mmengine - INFO - Epoch(train) [6][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:17:00 time: 0.7871 data_time: 0.0384 memory: 9824 loss: 0.6464 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0353 loss_cls: 0.1657 acc: 76.9531 loss_bbox: 0.2102 loss_mask: 0.2055 +2024/01/16 00:31:53 - mmengine - INFO - Epoch(train) [6][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:16:22 time: 0.7961 data_time: 0.0331 memory: 10414 loss: 0.7174 loss_rpn_cls: 0.0312 loss_rpn_bbox: 0.0351 loss_cls: 0.2039 acc: 84.5703 loss_bbox: 0.2318 loss_mask: 0.2153 +2024/01/16 00:32:33 - mmengine - INFO - Epoch(train) [6][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:15:43 time: 0.7940 data_time: 0.0304 memory: 9049 loss: 0.5890 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0334 loss_cls: 0.1504 acc: 91.4062 loss_bbox: 0.1795 loss_mask: 0.2064 +2024/01/16 00:33:12 - mmengine - INFO - Epoch(train) [6][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:15:01 time: 0.7838 data_time: 0.0253 memory: 10402 loss: 0.5897 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0262 loss_cls: 0.1716 acc: 83.0078 loss_bbox: 0.1813 loss_mask: 0.1941 +2024/01/16 00:33:52 - mmengine - INFO - Epoch(train) [6][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:14:23 time: 0.8014 data_time: 0.0348 memory: 10139 loss: 0.7123 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0374 loss_cls: 0.1856 acc: 85.7422 loss_bbox: 0.2376 loss_mask: 0.2323 +2024/01/16 00:34:32 - mmengine - INFO - Epoch(train) [6][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:13:43 time: 0.7888 data_time: 0.0299 memory: 10552 loss: 0.6732 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0367 loss_cls: 0.1750 acc: 95.5078 loss_bbox: 0.2197 loss_mask: 0.2189 +2024/01/16 00:35:10 - mmengine - INFO - Epoch(train) [6][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:12:59 time: 0.7766 data_time: 0.0302 memory: 10067 loss: 0.6973 loss_rpn_cls: 0.0321 loss_rpn_bbox: 0.0413 loss_cls: 0.1970 acc: 83.3984 loss_bbox: 0.2306 loss_mask: 0.1963 +2024/01/16 00:35:50 - mmengine - INFO - Epoch(train) [6][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:12:16 time: 0.7822 data_time: 0.0323 memory: 10232 loss: 0.7453 loss_rpn_cls: 0.0322 loss_rpn_bbox: 0.0360 loss_cls: 0.1915 acc: 92.7734 loss_bbox: 0.2485 loss_mask: 0.2371 +2024/01/16 00:36:30 - mmengine - INFO - Epoch(train) [6][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:11:39 time: 0.7994 data_time: 0.0286 memory: 9736 loss: 0.5909 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0300 loss_cls: 0.1459 acc: 97.8516 loss_bbox: 0.1912 loss_mask: 0.1991 +2024/01/16 00:37:09 - mmengine - INFO - Epoch(train) [6][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:10:56 time: 0.7804 data_time: 0.0339 memory: 10572 loss: 0.7028 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0396 loss_cls: 0.1872 acc: 93.3594 loss_bbox: 0.2391 loss_mask: 0.2092 +2024/01/16 00:37:48 - mmengine - INFO - Epoch(train) [6][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:10:17 time: 0.7945 data_time: 0.0344 memory: 10582 loss: 0.6898 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0393 loss_cls: 0.1854 acc: 86.7188 loss_bbox: 0.2314 loss_mask: 0.2054 +2024/01/16 00:38:29 - mmengine - INFO - Epoch(train) [6][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:09:41 time: 0.8058 data_time: 0.0333 memory: 10067 loss: 0.6398 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0408 loss_cls: 0.1745 acc: 97.2656 loss_bbox: 0.2094 loss_mask: 0.1851 +2024/01/16 00:39:08 - mmengine - INFO - Epoch(train) [6][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:09:01 time: 0.7922 data_time: 0.0308 memory: 10572 loss: 0.6573 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0336 loss_cls: 0.1564 acc: 85.7422 loss_bbox: 0.2164 loss_mask: 0.2280 +2024/01/16 00:39:47 - mmengine - INFO - Epoch(train) [6][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:08:19 time: 0.7843 data_time: 0.0296 memory: 9601 loss: 0.7414 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0325 loss_cls: 0.2010 acc: 95.1172 loss_bbox: 0.2472 loss_mask: 0.2298 +2024/01/16 00:40:27 - mmengine - INFO - Epoch(train) [6][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:07:39 time: 0.7902 data_time: 0.0353 memory: 9800 loss: 0.6909 loss_rpn_cls: 0.0359 loss_rpn_bbox: 0.0396 loss_cls: 0.1863 acc: 96.2891 loss_bbox: 0.2295 loss_mask: 0.1994 +2024/01/16 00:41:06 - mmengine - INFO - Epoch(train) [6][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:06:59 time: 0.7903 data_time: 0.0336 memory: 10388 loss: 0.7150 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0379 loss_cls: 0.1958 acc: 95.1172 loss_bbox: 0.2346 loss_mask: 0.2227 +2024/01/16 00:41:46 - mmengine - INFO - Epoch(train) [6][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:06:18 time: 0.7871 data_time: 0.0320 memory: 9734 loss: 0.6456 loss_rpn_cls: 0.0271 loss_rpn_bbox: 0.0274 loss_cls: 0.1731 acc: 82.8125 loss_bbox: 0.2144 loss_mask: 0.2036 +2024/01/16 00:42:25 - mmengine - INFO - Epoch(train) [6][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:05:38 time: 0.7920 data_time: 0.0318 memory: 10097 loss: 0.6364 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0292 loss_cls: 0.1631 acc: 99.8047 loss_bbox: 0.2104 loss_mask: 0.2101 +2024/01/16 00:43:05 - mmengine - INFO - Epoch(train) [6][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:04:57 time: 0.7869 data_time: 0.0310 memory: 10278 loss: 0.6637 loss_rpn_cls: 0.0351 loss_rpn_bbox: 0.0429 loss_cls: 0.1712 acc: 89.2578 loss_bbox: 0.2206 loss_mask: 0.1939 +2024/01/16 00:43:44 - mmengine - INFO - Epoch(train) [6][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:04:15 time: 0.7847 data_time: 0.0353 memory: 10572 loss: 0.6001 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0341 loss_cls: 0.1571 acc: 88.0859 loss_bbox: 0.1844 loss_mask: 0.2011 +2024/01/16 00:44:24 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 00:44:24 - mmengine - INFO - Epoch(train) [6][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:03:35 time: 0.7911 data_time: 0.0435 memory: 10568 loss: 0.8534 loss_rpn_cls: 0.0419 loss_rpn_bbox: 0.0506 loss_cls: 0.2362 acc: 91.6016 loss_bbox: 0.2878 loss_mask: 0.2369 +2024/01/16 00:45:03 - mmengine - INFO - Epoch(train) [6][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:02:54 time: 0.7865 data_time: 0.0335 memory: 8586 loss: 0.7056 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0349 loss_cls: 0.1994 acc: 85.9375 loss_bbox: 0.2363 loss_mask: 0.2098 +2024/01/16 00:45:43 - mmengine - INFO - Epoch(train) [6][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:02:17 time: 0.8021 data_time: 0.0336 memory: 10207 loss: 0.7357 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0423 loss_cls: 0.2103 acc: 99.2188 loss_bbox: 0.2443 loss_mask: 0.2091 +2024/01/16 00:46:23 - mmengine - INFO - Epoch(train) [6][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:01:40 time: 0.8041 data_time: 0.0380 memory: 10067 loss: 0.7582 loss_rpn_cls: 0.0490 loss_rpn_bbox: 0.0494 loss_cls: 0.1997 acc: 95.8984 loss_bbox: 0.2291 loss_mask: 0.2311 +2024/01/16 00:47:03 - mmengine - INFO - Epoch(train) [6][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:01:03 time: 0.8008 data_time: 0.0386 memory: 10572 loss: 0.7661 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0388 loss_cls: 0.2166 acc: 82.8125 loss_bbox: 0.2575 loss_mask: 0.2209 +2024/01/16 00:47:42 - mmengine - INFO - Epoch(train) [6][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 1:00:20 time: 0.7817 data_time: 0.0392 memory: 10572 loss: 0.7058 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0423 loss_cls: 0.1883 acc: 96.0938 loss_bbox: 0.2447 loss_mask: 0.2045 +2024/01/16 00:48:22 - mmengine - INFO - Epoch(train) [6][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:59:41 time: 0.7936 data_time: 0.0300 memory: 10153 loss: 0.5782 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0189 loss_cls: 0.1539 acc: 87.8906 loss_bbox: 0.1923 loss_mask: 0.1989 +2024/01/16 00:49:02 - mmengine - INFO - Epoch(train) [6][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:59:01 time: 0.7911 data_time: 0.0350 memory: 10780 loss: 0.7540 loss_rpn_cls: 0.0427 loss_rpn_bbox: 0.0405 loss_cls: 0.2010 acc: 93.7500 loss_bbox: 0.2391 loss_mask: 0.2307 +2024/01/16 00:49:41 - mmengine - INFO - Epoch(train) [6][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:58:19 time: 0.7831 data_time: 0.0325 memory: 10516 loss: 0.6208 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0297 loss_cls: 0.1543 acc: 98.0469 loss_bbox: 0.2086 loss_mask: 0.2071 +2024/01/16 00:50:21 - mmengine - INFO - Epoch(train) [6][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:57:40 time: 0.7965 data_time: 0.0349 memory: 10453 loss: 0.6636 loss_rpn_cls: 0.0308 loss_rpn_bbox: 0.0340 loss_cls: 0.1806 acc: 97.0703 loss_bbox: 0.2088 loss_mask: 0.2094 +2024/01/16 00:51:01 - mmengine - INFO - Epoch(train) [6][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:57:02 time: 0.7979 data_time: 0.0289 memory: 10840 loss: 0.5430 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0228 loss_cls: 0.1337 acc: 98.8281 loss_bbox: 0.1708 loss_mask: 0.2021 +2024/01/16 00:51:40 - mmengine - INFO - Epoch(train) [6][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:56:23 time: 0.7922 data_time: 0.0300 memory: 9827 loss: 0.7165 loss_rpn_cls: 0.0332 loss_rpn_bbox: 0.0410 loss_cls: 0.1946 acc: 93.1641 loss_bbox: 0.2327 loss_mask: 0.2151 +2024/01/16 00:52:20 - mmengine - INFO - Epoch(train) [6][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:55:43 time: 0.7924 data_time: 0.0299 memory: 11101 loss: 0.7092 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0350 loss_cls: 0.1834 acc: 97.0703 loss_bbox: 0.2282 loss_mask: 0.2390 +2024/01/16 00:53:00 - mmengine - INFO - Epoch(train) [6][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:55:05 time: 0.7976 data_time: 0.0306 memory: 10450 loss: 0.7436 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0345 loss_cls: 0.1984 acc: 97.4609 loss_bbox: 0.2447 loss_mask: 0.2419 +2024/01/16 00:53:39 - mmengine - INFO - Epoch(train) [6][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:54:24 time: 0.7879 data_time: 0.0323 memory: 10189 loss: 0.7494 loss_rpn_cls: 0.0365 loss_rpn_bbox: 0.0348 loss_cls: 0.2024 acc: 91.6016 loss_bbox: 0.2439 loss_mask: 0.2319 +2024/01/16 00:54:18 - mmengine - INFO - Epoch(train) [6][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:53:41 time: 0.7815 data_time: 0.0346 memory: 9459 loss: 0.7639 loss_rpn_cls: 0.0316 loss_rpn_bbox: 0.0393 loss_cls: 0.2099 acc: 97.8516 loss_bbox: 0.2598 loss_mask: 0.2234 +2024/01/16 00:54:58 - mmengine - INFO - Epoch(train) [6][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:53:02 time: 0.7922 data_time: 0.0353 memory: 10583 loss: 0.7351 loss_rpn_cls: 0.0310 loss_rpn_bbox: 0.0403 loss_cls: 0.1939 acc: 96.0938 loss_bbox: 0.2462 loss_mask: 0.2236 +2024/01/16 00:55:37 - mmengine - INFO - Epoch(train) [6][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:52:20 time: 0.7846 data_time: 0.0296 memory: 10067 loss: 0.6806 loss_rpn_cls: 0.0285 loss_rpn_bbox: 0.0338 loss_cls: 0.1880 acc: 92.9688 loss_bbox: 0.2088 loss_mask: 0.2215 +2024/01/16 00:56:16 - mmengine - INFO - Epoch(train) [6][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:51:35 time: 0.7728 data_time: 0.0392 memory: 10572 loss: 0.8323 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0496 loss_cls: 0.2288 acc: 87.8906 loss_bbox: 0.2884 loss_mask: 0.2357 +2024/01/16 00:56:55 - mmengine - INFO - Epoch(train) [6][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:50:52 time: 0.7788 data_time: 0.0331 memory: 10067 loss: 0.7319 loss_rpn_cls: 0.0292 loss_rpn_bbox: 0.0395 loss_cls: 0.2105 acc: 81.4453 loss_bbox: 0.2267 loss_mask: 0.2260 +2024/01/16 00:57:34 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 00:57:34 - mmengine - INFO - Epoch(train) [6][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:50:11 time: 0.7875 data_time: 0.0346 memory: 10516 loss: 0.6868 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0348 loss_cls: 0.1892 acc: 95.1172 loss_bbox: 0.2250 loss_mask: 0.2160 +2024/01/16 00:58:14 - mmengine - INFO - Epoch(train) [6][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:49:32 time: 0.7942 data_time: 0.0386 memory: 10572 loss: 0.7601 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0401 loss_cls: 0.2050 acc: 100.0000 loss_bbox: 0.2522 loss_mask: 0.2369 +2024/01/16 00:58:52 - mmengine - INFO - Epoch(train) [6][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:48:47 time: 0.7720 data_time: 0.0376 memory: 9497 loss: 0.7020 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0437 loss_cls: 0.1851 acc: 95.1172 loss_bbox: 0.2426 loss_mask: 0.2062 +2024/01/16 00:59:32 - mmengine - INFO - Epoch(train) [6][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:48:08 time: 0.7942 data_time: 0.0330 memory: 9730 loss: 0.6844 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0363 loss_cls: 0.1936 acc: 94.3359 loss_bbox: 0.2302 loss_mask: 0.1970 +2024/01/16 01:00:12 - mmengine - INFO - Epoch(train) [6][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:47:29 time: 0.7959 data_time: 0.0300 memory: 10067 loss: 0.6226 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0393 loss_cls: 0.1722 acc: 95.7031 loss_bbox: 0.1977 loss_mask: 0.1821 +2024/01/16 01:00:51 - mmengine - INFO - Epoch(train) [6][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:46:47 time: 0.7844 data_time: 0.0383 memory: 10572 loss: 0.7693 loss_rpn_cls: 0.0346 loss_rpn_bbox: 0.0449 loss_cls: 0.2101 acc: 96.8750 loss_bbox: 0.2464 loss_mask: 0.2333 +2024/01/16 01:01:31 - mmengine - INFO - Epoch(train) [6][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:46:08 time: 0.7933 data_time: 0.0321 memory: 10179 loss: 0.5795 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0280 loss_cls: 0.1610 acc: 95.7031 loss_bbox: 0.1768 loss_mask: 0.1912 +2024/01/16 01:02:10 - mmengine - INFO - Epoch(train) [6][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:45:27 time: 0.7880 data_time: 0.0344 memory: 10508 loss: 0.7480 loss_rpn_cls: 0.0310 loss_rpn_bbox: 0.0376 loss_cls: 0.2083 acc: 98.6328 loss_bbox: 0.2450 loss_mask: 0.2262 +2024/01/16 01:02:49 - mmengine - INFO - Epoch(train) [6][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:44:46 time: 0.7867 data_time: 0.0339 memory: 10572 loss: 0.7633 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0449 loss_cls: 0.2058 acc: 97.6562 loss_bbox: 0.2479 loss_mask: 0.2385 +2024/01/16 01:03:28 - mmengine - INFO - Epoch(train) [6][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:44:03 time: 0.7769 data_time: 0.0326 memory: 9601 loss: 0.6271 loss_rpn_cls: 0.0322 loss_rpn_bbox: 0.0341 loss_cls: 0.1517 acc: 97.4609 loss_bbox: 0.1959 loss_mask: 0.2132 +2024/01/16 01:04:08 - mmengine - INFO - Epoch(train) [6][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:43:24 time: 0.7944 data_time: 0.0291 memory: 10583 loss: 0.6978 loss_rpn_cls: 0.0271 loss_rpn_bbox: 0.0351 loss_cls: 0.1805 acc: 98.8281 loss_bbox: 0.2407 loss_mask: 0.2144 +2024/01/16 01:04:47 - mmengine - INFO - Epoch(train) [6][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:42:42 time: 0.7859 data_time: 0.0343 memory: 10986 loss: 0.7426 loss_rpn_cls: 0.0315 loss_rpn_bbox: 0.0403 loss_cls: 0.2051 acc: 80.8594 loss_bbox: 0.2399 loss_mask: 0.2257 +2024/01/16 01:05:27 - mmengine - INFO - Epoch(train) [6][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:42:04 time: 0.7975 data_time: 0.0316 memory: 10094 loss: 0.6090 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0265 loss_cls: 0.1549 acc: 89.2578 loss_bbox: 0.2034 loss_mask: 0.1996 +2024/01/16 01:06:07 - mmengine - INFO - Epoch(train) [6][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:41:23 time: 0.7887 data_time: 0.0328 memory: 9896 loss: 0.5900 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0296 loss_cls: 0.1582 acc: 85.3516 loss_bbox: 0.1921 loss_mask: 0.1884 +2024/01/16 01:06:46 - mmengine - INFO - Epoch(train) [6][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:40:44 time: 0.7930 data_time: 0.0323 memory: 9734 loss: 0.6237 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0326 loss_cls: 0.1614 acc: 83.5938 loss_bbox: 0.2029 loss_mask: 0.2016 +2024/01/16 01:07:26 - mmengine - INFO - Epoch(train) [6][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:40:06 time: 0.7982 data_time: 0.0341 memory: 11102 loss: 0.7196 loss_rpn_cls: 0.0303 loss_rpn_bbox: 0.0375 loss_cls: 0.1954 acc: 96.0938 loss_bbox: 0.2455 loss_mask: 0.2109 +2024/01/16 01:08:07 - mmengine - INFO - Epoch(train) [6][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:39:30 time: 0.8087 data_time: 0.0358 memory: 10583 loss: 0.7093 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0434 loss_cls: 0.1888 acc: 97.8516 loss_bbox: 0.2323 loss_mask: 0.2168 +2024/01/16 01:08:46 - mmengine - INFO - Epoch(train) [6][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:38:50 time: 0.7884 data_time: 0.0327 memory: 9601 loss: 0.7164 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0377 loss_cls: 0.1932 acc: 94.9219 loss_bbox: 0.2312 loss_mask: 0.2263 +2024/01/16 01:09:26 - mmengine - INFO - Epoch(train) [6][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:38:14 time: 0.8056 data_time: 0.0342 memory: 10608 loss: 0.7502 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0328 loss_cls: 0.2144 acc: 97.8516 loss_bbox: 0.2565 loss_mask: 0.2235 +2024/01/16 01:10:06 - mmengine - INFO - Epoch(train) [6][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:37:33 time: 0.7869 data_time: 0.0319 memory: 9420 loss: 0.7264 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0319 loss_cls: 0.1979 acc: 92.9688 loss_bbox: 0.2412 loss_mask: 0.2250 +2024/01/16 01:10:46 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 01:10:46 - mmengine - INFO - Epoch(train) [6][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:36:54 time: 0.7957 data_time: 0.0312 memory: 10611 loss: 0.5936 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0308 loss_cls: 0.1450 acc: 99.4141 loss_bbox: 0.2057 loss_mask: 0.1948 +2024/01/16 01:11:25 - mmengine - INFO - Epoch(train) [6][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:36:15 time: 0.7946 data_time: 0.0332 memory: 10207 loss: 0.6724 loss_rpn_cls: 0.0310 loss_rpn_bbox: 0.0400 loss_cls: 0.1843 acc: 91.0156 loss_bbox: 0.2180 loss_mask: 0.1991 +2024/01/16 01:12:04 - mmengine - INFO - Epoch(train) [6][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:35:33 time: 0.7846 data_time: 0.0334 memory: 9599 loss: 0.7955 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0412 loss_cls: 0.2165 acc: 94.5312 loss_bbox: 0.2763 loss_mask: 0.2292 +2024/01/16 01:12:44 - mmengine - INFO - Epoch(train) [6][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:34:51 time: 0.7820 data_time: 0.0354 memory: 9850 loss: 0.7127 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0466 loss_cls: 0.1893 acc: 99.6094 loss_bbox: 0.2372 loss_mask: 0.2106 +2024/01/16 01:13:23 - mmengine - INFO - Epoch(train) [6][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:34:12 time: 0.7947 data_time: 0.0293 memory: 10067 loss: 0.6053 loss_rpn_cls: 0.0333 loss_rpn_bbox: 0.0313 loss_cls: 0.1462 acc: 99.2188 loss_bbox: 0.2000 loss_mask: 0.1946 +2024/01/16 01:14:02 - mmengine - INFO - Epoch(train) [6][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:33:30 time: 0.7832 data_time: 0.0258 memory: 10236 loss: 0.6056 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0293 loss_cls: 0.1625 acc: 85.5469 loss_bbox: 0.1929 loss_mask: 0.1990 +2024/01/16 01:14:41 - mmengine - INFO - Epoch(train) [6][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:32:46 time: 0.7766 data_time: 0.0281 memory: 9905 loss: 0.6693 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0301 loss_cls: 0.1673 acc: 99.6094 loss_bbox: 0.2350 loss_mask: 0.2153 +2024/01/16 01:15:20 - mmengine - INFO - Epoch(train) [6][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:32:02 time: 0.7748 data_time: 0.0292 memory: 10186 loss: 0.5938 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0339 loss_cls: 0.1432 acc: 91.0156 loss_bbox: 0.1890 loss_mask: 0.2036 +2024/01/16 01:15:59 - mmengine - INFO - Epoch(train) [6][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:31:19 time: 0.7760 data_time: 0.0355 memory: 9369 loss: 0.7712 loss_rpn_cls: 0.0379 loss_rpn_bbox: 0.0453 loss_cls: 0.2034 acc: 88.6719 loss_bbox: 0.2604 loss_mask: 0.2242 +2024/01/16 01:16:38 - mmengine - INFO - Epoch(train) [6][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:30:37 time: 0.7865 data_time: 0.0367 memory: 10572 loss: 0.7421 loss_rpn_cls: 0.0330 loss_rpn_bbox: 0.0422 loss_cls: 0.1803 acc: 83.2031 loss_bbox: 0.2459 loss_mask: 0.2407 +2024/01/16 01:17:18 - mmengine - INFO - Epoch(train) [6][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:29:56 time: 0.7865 data_time: 0.0267 memory: 10539 loss: 0.6332 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0217 loss_cls: 0.1620 acc: 93.3594 loss_bbox: 0.2029 loss_mask: 0.2282 +2024/01/16 01:17:57 - mmengine - INFO - Epoch(train) [6][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:29:16 time: 0.7891 data_time: 0.0321 memory: 10715 loss: 0.6750 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0321 loss_cls: 0.1808 acc: 97.6562 loss_bbox: 0.2197 loss_mask: 0.2195 +2024/01/16 01:18:37 - mmengine - INFO - Epoch(train) [6][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:28:39 time: 0.8021 data_time: 0.0351 memory: 10393 loss: 0.8141 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0387 loss_cls: 0.2176 acc: 84.5703 loss_bbox: 0.2524 loss_mask: 0.2730 +2024/01/16 01:19:16 - mmengine - INFO - Epoch(train) [6][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:27:57 time: 0.7836 data_time: 0.0290 memory: 10359 loss: 0.6176 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0284 loss_cls: 0.1651 acc: 91.0156 loss_bbox: 0.2054 loss_mask: 0.1985 +2024/01/16 01:19:56 - mmengine - INFO - Epoch(train) [6][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:27:17 time: 0.7883 data_time: 0.0320 memory: 9423 loss: 0.6995 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0328 loss_cls: 0.1921 acc: 99.4141 loss_bbox: 0.2381 loss_mask: 0.2119 +2024/01/16 01:20:36 - mmengine - INFO - Epoch(train) [6][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:26:40 time: 0.8060 data_time: 0.0306 memory: 9949 loss: 0.6705 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0358 loss_cls: 0.1859 acc: 99.2188 loss_bbox: 0.2233 loss_mask: 0.1993 +2024/01/16 01:21:15 - mmengine - INFO - Epoch(train) [6][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:26:00 time: 0.7878 data_time: 0.0300 memory: 10583 loss: 0.7058 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0351 loss_cls: 0.1896 acc: 90.4297 loss_bbox: 0.2365 loss_mask: 0.2177 +2024/01/16 01:21:55 - mmengine - INFO - Epoch(train) [6][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:25:17 time: 0.7816 data_time: 0.0368 memory: 9581 loss: 0.7752 loss_rpn_cls: 0.0336 loss_rpn_bbox: 0.0370 loss_cls: 0.2215 acc: 97.4609 loss_bbox: 0.2606 loss_mask: 0.2225 +2024/01/16 01:22:34 - mmengine - INFO - Epoch(train) [6][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:24:35 time: 0.7823 data_time: 0.0406 memory: 10294 loss: 0.7218 loss_rpn_cls: 0.0285 loss_rpn_bbox: 0.0398 loss_cls: 0.2037 acc: 98.4375 loss_bbox: 0.2373 loss_mask: 0.2125 +2024/01/16 01:23:12 - mmengine - INFO - Epoch(train) [6][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:23:52 time: 0.7768 data_time: 0.0332 memory: 10583 loss: 0.6971 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0323 loss_cls: 0.1762 acc: 98.8281 loss_bbox: 0.2217 loss_mask: 0.2408 +2024/01/16 01:23:36 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 01:23:36 - mmengine - INFO - Saving checkpoint at 6 epochs +2024/01/16 01:23:50 - mmengine - INFO - Epoch(val) [6][ 50/313] eta: 0:00:57 time: 0.2202 data_time: 0.0573 memory: 10067 +2024/01/16 01:24:00 - mmengine - INFO - Epoch(val) [6][100/313] eta: 0:00:44 time: 0.1992 data_time: 0.0362 memory: 2388 +2024/01/16 01:24:11 - mmengine - INFO - Epoch(val) [6][150/313] eta: 0:00:34 time: 0.2069 data_time: 0.0462 memory: 2431 +2024/01/16 01:24:21 - mmengine - INFO - Epoch(val) [6][200/313] eta: 0:00:23 time: 0.2059 data_time: 0.0431 memory: 2403 +2024/01/16 01:24:30 - mmengine - INFO - Epoch(val) [6][250/313] eta: 0:00:12 time: 0.1861 data_time: 0.0289 memory: 2431 +2024/01/16 01:24:40 - mmengine - INFO - Epoch(val) [6][300/313] eta: 0:00:02 time: 0.1993 data_time: 0.0376 memory: 2403 +2024/01/16 01:24:50 - mmengine - INFO - Evaluating bbox... +2024/01/16 01:25:17 - mmengine - INFO - bbox_mAP_copypaste: 0.443 0.675 0.487 0.283 0.480 0.583 +2024/01/16 01:25:17 - mmengine - INFO - Evaluating segm... +2024/01/16 01:25:46 - mmengine - INFO - segm_mAP_copypaste: 0.402 0.643 0.430 0.209 0.434 0.598 +2024/01/16 01:25:47 - mmengine - INFO - Epoch(val) [6][313/313] coco/bbox_mAP: 0.4430 coco/bbox_mAP_50: 0.6750 coco/bbox_mAP_75: 0.4870 coco/bbox_mAP_s: 0.2830 coco/bbox_mAP_m: 0.4800 coco/bbox_mAP_l: 0.5830 coco/segm_mAP: 0.4020 coco/segm_mAP_50: 0.6430 coco/segm_mAP_75: 0.4300 coco/segm_mAP_s: 0.2090 coco/segm_mAP_m: 0.4340 coco/segm_mAP_l: 0.5980 data_time: 0.0399 time: 0.2010 +2024/01/16 01:26:05 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 01:26:29 - mmengine - INFO - Epoch(train) [7][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:23:01 time: 0.8445 data_time: 0.0383 memory: 10067 loss: 0.6898 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0387 loss_cls: 0.1712 acc: 87.6953 loss_bbox: 0.2346 loss_mask: 0.2218 +2024/01/16 01:27:09 - mmengine - INFO - Epoch(train) [7][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:22:22 time: 0.7973 data_time: 0.0356 memory: 10572 loss: 0.7227 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0486 loss_cls: 0.1945 acc: 76.3672 loss_bbox: 0.2464 loss_mask: 0.2095 +2024/01/16 01:27:49 - mmengine - INFO - Epoch(train) [7][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:21:44 time: 0.7986 data_time: 0.0372 memory: 10571 loss: 0.8507 loss_rpn_cls: 0.0334 loss_rpn_bbox: 0.0510 loss_cls: 0.2322 acc: 78.9062 loss_bbox: 0.2907 loss_mask: 0.2435 +2024/01/16 01:28:29 - mmengine - INFO - Epoch(train) [7][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:21:08 time: 0.8050 data_time: 0.0396 memory: 10298 loss: 0.7841 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0401 loss_cls: 0.2143 acc: 92.7734 loss_bbox: 0.2653 loss_mask: 0.2388 +2024/01/16 01:29:09 - mmengine - INFO - Epoch(train) [7][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:20:29 time: 0.7940 data_time: 0.0358 memory: 10067 loss: 0.6437 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0289 loss_cls: 0.1646 acc: 94.9219 loss_bbox: 0.2247 loss_mask: 0.2079 +2024/01/16 01:29:48 - mmengine - INFO - Epoch(train) [7][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:19:47 time: 0.7844 data_time: 0.0336 memory: 11015 loss: 0.7876 loss_rpn_cls: 0.0375 loss_rpn_bbox: 0.0441 loss_cls: 0.2042 acc: 97.0703 loss_bbox: 0.2690 loss_mask: 0.2328 +2024/01/16 01:30:28 - mmengine - INFO - Epoch(train) [7][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:19:08 time: 0.7959 data_time: 0.0339 memory: 10067 loss: 0.7309 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0403 loss_cls: 0.1886 acc: 98.6328 loss_bbox: 0.2507 loss_mask: 0.2213 +2024/01/16 01:31:08 - mmengine - INFO - Epoch(train) [7][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:18:32 time: 0.8074 data_time: 0.0311 memory: 10238 loss: 0.6919 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0357 loss_cls: 0.1770 acc: 96.0938 loss_bbox: 0.2293 loss_mask: 0.2270 +2024/01/16 01:31:48 - mmengine - INFO - Epoch(train) [7][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:17:56 time: 0.8059 data_time: 0.0293 memory: 9722 loss: 0.6703 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0411 loss_cls: 0.1828 acc: 90.4297 loss_bbox: 0.2089 loss_mask: 0.2158 +2024/01/16 01:32:28 - mmengine - INFO - Epoch(train) [7][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:17:15 time: 0.7850 data_time: 0.0338 memory: 10789 loss: 0.6985 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0358 loss_cls: 0.1759 acc: 82.4219 loss_bbox: 0.2386 loss_mask: 0.2272 +2024/01/16 01:33:06 - mmengine - INFO - Epoch(train) [7][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:16:31 time: 0.7744 data_time: 0.0358 memory: 10100 loss: 0.6076 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0322 loss_cls: 0.1679 acc: 93.5547 loss_bbox: 0.2064 loss_mask: 0.1826 +2024/01/16 01:33:46 - mmengine - INFO - Epoch(train) [7][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:15:51 time: 0.7915 data_time: 0.0348 memory: 10611 loss: 0.7194 loss_rpn_cls: 0.0364 loss_rpn_bbox: 0.0455 loss_cls: 0.1919 acc: 96.4844 loss_bbox: 0.2287 loss_mask: 0.2169 +2024/01/16 01:34:25 - mmengine - INFO - Epoch(train) [7][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:15:10 time: 0.7885 data_time: 0.0410 memory: 10568 loss: 0.7982 loss_rpn_cls: 0.0301 loss_rpn_bbox: 0.0477 loss_cls: 0.2137 acc: 86.7188 loss_bbox: 0.2635 loss_mask: 0.2432 +2024/01/16 01:35:05 - mmengine - INFO - Epoch(train) [7][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:14:30 time: 0.7879 data_time: 0.0335 memory: 9847 loss: 0.7432 loss_rpn_cls: 0.0346 loss_rpn_bbox: 0.0420 loss_cls: 0.1991 acc: 98.4375 loss_bbox: 0.2379 loss_mask: 0.2296 +2024/01/16 01:35:44 - mmengine - INFO - Epoch(train) [7][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:13:48 time: 0.7831 data_time: 0.0333 memory: 9570 loss: 0.6964 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0358 loss_cls: 0.1943 acc: 86.3281 loss_bbox: 0.2258 loss_mask: 0.2131 +2024/01/16 01:36:23 - mmengine - INFO - Epoch(train) [7][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:13:06 time: 0.7831 data_time: 0.0343 memory: 9420 loss: 0.7553 loss_rpn_cls: 0.0348 loss_rpn_bbox: 0.0399 loss_cls: 0.2090 acc: 98.4375 loss_bbox: 0.2566 loss_mask: 0.2150 +2024/01/16 01:37:02 - mmengine - INFO - Epoch(train) [7][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:12:24 time: 0.7820 data_time: 0.0307 memory: 10299 loss: 0.6789 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0335 loss_cls: 0.1752 acc: 96.6797 loss_bbox: 0.2301 loss_mask: 0.2156 +2024/01/16 01:37:40 - mmengine - INFO - Epoch(train) [7][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:11:35 time: 0.7548 data_time: 0.0296 memory: 10446 loss: 0.6263 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0255 loss_cls: 0.1655 acc: 86.1328 loss_bbox: 0.2092 loss_mask: 0.2061 +2024/01/16 01:38:20 - mmengine - INFO - Epoch(train) [7][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:10:57 time: 0.7990 data_time: 0.0292 memory: 10737 loss: 0.6891 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0378 loss_cls: 0.1733 acc: 88.0859 loss_bbox: 0.2443 loss_mask: 0.2151 +2024/01/16 01:38:59 - mmengine - INFO - Epoch(train) [7][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:10:17 time: 0.7892 data_time: 0.0340 memory: 10446 loss: 0.6701 loss_rpn_cls: 0.0334 loss_rpn_bbox: 0.0338 loss_cls: 0.1837 acc: 95.8984 loss_bbox: 0.2186 loss_mask: 0.2005 +2024/01/16 01:39:15 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 01:39:40 - mmengine - INFO - Epoch(train) [7][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:09:41 time: 0.8089 data_time: 0.0355 memory: 9949 loss: 0.7378 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0404 loss_cls: 0.1889 acc: 92.7734 loss_bbox: 0.2644 loss_mask: 0.2148 +2024/01/16 01:40:20 - mmengine - INFO - Epoch(train) [7][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:09:02 time: 0.7961 data_time: 0.0329 memory: 10404 loss: 0.6555 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0392 loss_cls: 0.1749 acc: 91.4062 loss_bbox: 0.2102 loss_mask: 0.2056 +2024/01/16 01:40:59 - mmengine - INFO - Epoch(train) [7][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:08:22 time: 0.7884 data_time: 0.0359 memory: 9671 loss: 0.6960 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0350 loss_cls: 0.1929 acc: 83.5938 loss_bbox: 0.2320 loss_mask: 0.2147 +2024/01/16 01:41:39 - mmengine - INFO - Epoch(train) [7][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:07:42 time: 0.7902 data_time: 0.0338 memory: 10583 loss: 0.6647 loss_rpn_cls: 0.0315 loss_rpn_bbox: 0.0366 loss_cls: 0.1702 acc: 92.9688 loss_bbox: 0.2206 loss_mask: 0.2058 +2024/01/16 01:42:18 - mmengine - INFO - Epoch(train) [7][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:07:00 time: 0.7849 data_time: 0.0354 memory: 10013 loss: 0.8298 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0454 loss_cls: 0.2254 acc: 88.8672 loss_bbox: 0.2992 loss_mask: 0.2285 +2024/01/16 01:42:57 - mmengine - INFO - Epoch(train) [7][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:06:19 time: 0.7861 data_time: 0.0330 memory: 11102 loss: 0.6520 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0379 loss_cls: 0.1671 acc: 99.6094 loss_bbox: 0.2163 loss_mask: 0.2031 +2024/01/16 01:43:36 - mmengine - INFO - Epoch(train) [7][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:05:34 time: 0.7680 data_time: 0.0326 memory: 10152 loss: 0.7293 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0327 loss_cls: 0.1810 acc: 98.0469 loss_bbox: 0.2473 loss_mask: 0.2435 +2024/01/16 01:44:15 - mmengine - INFO - Epoch(train) [7][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:04:52 time: 0.7820 data_time: 0.0315 memory: 8784 loss: 0.7017 loss_rpn_cls: 0.0350 loss_rpn_bbox: 0.0380 loss_cls: 0.1929 acc: 86.7188 loss_bbox: 0.2138 loss_mask: 0.2219 +2024/01/16 01:44:54 - mmengine - INFO - Epoch(train) [7][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:04:09 time: 0.7775 data_time: 0.0341 memory: 10572 loss: 0.6290 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0247 loss_cls: 0.1798 acc: 99.6094 loss_bbox: 0.2182 loss_mask: 0.1840 +2024/01/16 01:45:32 - mmengine - INFO - Epoch(train) [7][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:03:26 time: 0.7787 data_time: 0.0328 memory: 10245 loss: 0.7296 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0364 loss_cls: 0.1887 acc: 82.8125 loss_bbox: 0.2573 loss_mask: 0.2206 +2024/01/16 01:46:12 - mmengine - INFO - Epoch(train) [7][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:02:45 time: 0.7871 data_time: 0.0320 memory: 10572 loss: 0.6716 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0267 loss_cls: 0.1806 acc: 89.6484 loss_bbox: 0.2169 loss_mask: 0.2213 +2024/01/16 01:46:52 - mmengine - INFO - Epoch(train) [7][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:02:07 time: 0.8003 data_time: 0.0331 memory: 10059 loss: 0.7693 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0409 loss_cls: 0.2156 acc: 95.7031 loss_bbox: 0.2586 loss_mask: 0.2265 +2024/01/16 01:47:32 - mmengine - INFO - Epoch(train) [7][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:01:32 time: 0.8093 data_time: 0.0342 memory: 10067 loss: 0.6767 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0421 loss_cls: 0.1772 acc: 91.6016 loss_bbox: 0.2307 loss_mask: 0.2038 +2024/01/16 01:48:12 - mmengine - INFO - Epoch(train) [7][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:00:52 time: 0.7916 data_time: 0.0345 memory: 10572 loss: 0.7132 loss_rpn_cls: 0.0376 loss_rpn_bbox: 0.0411 loss_cls: 0.1856 acc: 82.8125 loss_bbox: 0.2299 loss_mask: 0.2191 +2024/01/16 01:48:52 - mmengine - INFO - Epoch(train) [7][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 2 days, 0:00:14 time: 0.7989 data_time: 0.0329 memory: 10572 loss: 0.7949 loss_rpn_cls: 0.0294 loss_rpn_bbox: 0.0451 loss_cls: 0.2251 acc: 86.5234 loss_bbox: 0.2705 loss_mask: 0.2248 +2024/01/16 01:49:31 - mmengine - INFO - Epoch(train) [7][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:59:34 time: 0.7889 data_time: 0.0350 memory: 10032 loss: 0.7020 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0358 loss_cls: 0.1962 acc: 98.8281 loss_bbox: 0.2374 loss_mask: 0.2096 +2024/01/16 01:50:11 - mmengine - INFO - Epoch(train) [7][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:58:52 time: 0.7854 data_time: 0.0374 memory: 9604 loss: 0.7467 loss_rpn_cls: 0.0294 loss_rpn_bbox: 0.0482 loss_cls: 0.2021 acc: 99.0234 loss_bbox: 0.2501 loss_mask: 0.2169 +2024/01/16 01:50:50 - mmengine - INFO - Epoch(train) [7][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:58:12 time: 0.7890 data_time: 0.0356 memory: 11102 loss: 0.7089 loss_rpn_cls: 0.0278 loss_rpn_bbox: 0.0370 loss_cls: 0.1867 acc: 86.7188 loss_bbox: 0.2506 loss_mask: 0.2068 +2024/01/16 01:51:30 - mmengine - INFO - Epoch(train) [7][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:57:34 time: 0.7972 data_time: 0.0296 memory: 10853 loss: 0.6264 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0333 loss_cls: 0.1574 acc: 97.6562 loss_bbox: 0.1914 loss_mask: 0.2172 +2024/01/16 01:52:10 - mmengine - INFO - Epoch(train) [7][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:56:57 time: 0.8044 data_time: 0.0300 memory: 10957 loss: 0.6937 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0344 loss_cls: 0.1904 acc: 96.8750 loss_bbox: 0.2214 loss_mask: 0.2288 +2024/01/16 01:52:26 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 01:52:50 - mmengine - INFO - Epoch(train) [7][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:56:20 time: 0.8020 data_time: 0.0358 memory: 10572 loss: 0.7139 loss_rpn_cls: 0.0298 loss_rpn_bbox: 0.0402 loss_cls: 0.1904 acc: 92.7734 loss_bbox: 0.2457 loss_mask: 0.2078 +2024/01/16 01:53:30 - mmengine - INFO - Epoch(train) [7][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:55:39 time: 0.7863 data_time: 0.0306 memory: 10568 loss: 0.6551 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0336 loss_cls: 0.1699 acc: 83.2031 loss_bbox: 0.2164 loss_mask: 0.2068 +2024/01/16 01:54:09 - mmengine - INFO - Epoch(train) [7][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:54:57 time: 0.7814 data_time: 0.0260 memory: 10582 loss: 0.6181 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0267 loss_cls: 0.1477 acc: 92.1875 loss_bbox: 0.1974 loss_mask: 0.2211 +2024/01/16 01:54:48 - mmengine - INFO - Epoch(train) [7][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:54:17 time: 0.7931 data_time: 0.0373 memory: 10278 loss: 0.6344 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0354 loss_cls: 0.1615 acc: 96.8750 loss_bbox: 0.2133 loss_mask: 0.2014 +2024/01/16 01:55:28 - mmengine - INFO - Epoch(train) [7][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:53:37 time: 0.7904 data_time: 0.0322 memory: 9737 loss: 0.7385 loss_rpn_cls: 0.0361 loss_rpn_bbox: 0.0465 loss_cls: 0.1981 acc: 92.9688 loss_bbox: 0.2289 loss_mask: 0.2290 +2024/01/16 01:56:07 - mmengine - INFO - Epoch(train) [7][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:52:57 time: 0.7903 data_time: 0.0291 memory: 10067 loss: 0.5729 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0252 loss_cls: 0.1442 acc: 98.4375 loss_bbox: 0.1981 loss_mask: 0.1922 +2024/01/16 01:56:47 - mmengine - INFO - Epoch(train) [7][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:52:20 time: 0.8011 data_time: 0.0298 memory: 10715 loss: 0.7022 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0375 loss_cls: 0.1732 acc: 93.5547 loss_bbox: 0.2391 loss_mask: 0.2269 +2024/01/16 01:57:27 - mmengine - INFO - Epoch(train) [7][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:51:42 time: 0.8003 data_time: 0.0315 memory: 10404 loss: 0.7298 loss_rpn_cls: 0.0368 loss_rpn_bbox: 0.0388 loss_cls: 0.2044 acc: 99.2188 loss_bbox: 0.2348 loss_mask: 0.2150 +2024/01/16 01:58:07 - mmengine - INFO - Epoch(train) [7][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:51:02 time: 0.7911 data_time: 0.0345 memory: 9153 loss: 0.7614 loss_rpn_cls: 0.0349 loss_rpn_bbox: 0.0385 loss_cls: 0.2138 acc: 83.9844 loss_bbox: 0.2453 loss_mask: 0.2289 +2024/01/16 01:58:47 - mmengine - INFO - Epoch(train) [7][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:50:24 time: 0.7993 data_time: 0.0337 memory: 11026 loss: 0.6355 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0327 loss_cls: 0.1712 acc: 87.8906 loss_bbox: 0.2088 loss_mask: 0.1981 +2024/01/16 01:59:27 - mmengine - INFO - Epoch(train) [7][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:49:45 time: 0.7949 data_time: 0.0384 memory: 10067 loss: 0.7026 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0427 loss_cls: 0.1872 acc: 100.0000 loss_bbox: 0.2309 loss_mask: 0.2176 +2024/01/16 02:00:06 - mmengine - INFO - Epoch(train) [7][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:49:04 time: 0.7881 data_time: 0.0356 memory: 10186 loss: 0.7315 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0357 loss_cls: 0.2085 acc: 99.4141 loss_bbox: 0.2466 loss_mask: 0.2145 +2024/01/16 02:00:46 - mmengine - INFO - Epoch(train) [7][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:48:24 time: 0.7887 data_time: 0.0328 memory: 9800 loss: 0.7168 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0435 loss_cls: 0.1922 acc: 79.6875 loss_bbox: 0.2408 loss_mask: 0.2094 +2024/01/16 02:01:26 - mmengine - INFO - Epoch(train) [7][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:47:46 time: 0.7999 data_time: 0.0348 memory: 10583 loss: 0.7287 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0440 loss_cls: 0.1754 acc: 86.3281 loss_bbox: 0.2409 loss_mask: 0.2405 +2024/01/16 02:02:06 - mmengine - INFO - Epoch(train) [7][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:47:10 time: 0.8061 data_time: 0.0389 memory: 10572 loss: 0.8392 loss_rpn_cls: 0.0397 loss_rpn_bbox: 0.0507 loss_cls: 0.2339 acc: 98.2422 loss_bbox: 0.2837 loss_mask: 0.2311 +2024/01/16 02:02:46 - mmengine - INFO - Epoch(train) [7][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:46:33 time: 0.8041 data_time: 0.0312 memory: 10986 loss: 0.6547 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0348 loss_cls: 0.1621 acc: 81.4453 loss_bbox: 0.2053 loss_mask: 0.2247 +2024/01/16 02:03:26 - mmengine - INFO - Epoch(train) [7][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:45:53 time: 0.7889 data_time: 0.0368 memory: 10516 loss: 0.7967 loss_rpn_cls: 0.0336 loss_rpn_bbox: 0.0422 loss_cls: 0.2033 acc: 98.6328 loss_bbox: 0.2675 loss_mask: 0.2501 +2024/01/16 02:04:06 - mmengine - INFO - Epoch(train) [7][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:45:16 time: 0.8037 data_time: 0.0363 memory: 10171 loss: 0.6805 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0360 loss_cls: 0.1786 acc: 92.3828 loss_bbox: 0.2163 loss_mask: 0.2164 +2024/01/16 02:04:45 - mmengine - INFO - Epoch(train) [7][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:44:33 time: 0.7784 data_time: 0.0286 memory: 10583 loss: 0.5524 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0235 loss_cls: 0.1402 acc: 96.0938 loss_bbox: 0.1867 loss_mask: 0.1865 +2024/01/16 02:05:25 - mmengine - INFO - Epoch(train) [7][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:43:58 time: 0.8131 data_time: 0.0360 memory: 10572 loss: 0.8026 loss_rpn_cls: 0.0421 loss_rpn_bbox: 0.0432 loss_cls: 0.2185 acc: 92.7734 loss_bbox: 0.2570 loss_mask: 0.2419 +2024/01/16 02:05:41 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 02:06:05 - mmengine - INFO - Epoch(train) [7][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:43:17 time: 0.7855 data_time: 0.0302 memory: 10067 loss: 0.6677 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0320 loss_cls: 0.1598 acc: 87.6953 loss_bbox: 0.2099 loss_mask: 0.2348 +2024/01/16 02:06:44 - mmengine - INFO - Epoch(train) [7][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:42:38 time: 0.7939 data_time: 0.0286 memory: 10558 loss: 0.6283 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0255 loss_cls: 0.1648 acc: 93.5547 loss_bbox: 0.2129 loss_mask: 0.2062 +2024/01/16 02:07:23 - mmengine - INFO - Epoch(train) [7][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:41:55 time: 0.7791 data_time: 0.0442 memory: 10067 loss: 0.7322 loss_rpn_cls: 0.0417 loss_rpn_bbox: 0.0494 loss_cls: 0.1848 acc: 99.8047 loss_bbox: 0.2427 loss_mask: 0.2136 +2024/01/16 02:08:02 - mmengine - INFO - Epoch(train) [7][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:41:11 time: 0.7727 data_time: 0.0349 memory: 9687 loss: 0.7908 loss_rpn_cls: 0.0452 loss_rpn_bbox: 0.0422 loss_cls: 0.2045 acc: 98.2422 loss_bbox: 0.2563 loss_mask: 0.2426 +2024/01/16 02:08:41 - mmengine - INFO - Epoch(train) [7][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:40:29 time: 0.7836 data_time: 0.0376 memory: 10067 loss: 0.6637 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0324 loss_cls: 0.1797 acc: 98.2422 loss_bbox: 0.2308 loss_mask: 0.2007 +2024/01/16 02:09:21 - mmengine - INFO - Epoch(train) [7][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:39:50 time: 0.7936 data_time: 0.0330 memory: 9604 loss: 0.6844 loss_rpn_cls: 0.0376 loss_rpn_bbox: 0.0377 loss_cls: 0.1669 acc: 97.6562 loss_bbox: 0.2213 loss_mask: 0.2210 +2024/01/16 02:10:00 - mmengine - INFO - Epoch(train) [7][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:39:10 time: 0.7896 data_time: 0.0385 memory: 10299 loss: 0.7105 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0364 loss_cls: 0.1914 acc: 85.3516 loss_bbox: 0.2406 loss_mask: 0.2169 +2024/01/16 02:10:40 - mmengine - INFO - Epoch(train) [7][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:38:32 time: 0.7990 data_time: 0.0315 memory: 9267 loss: 0.6342 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0285 loss_cls: 0.1659 acc: 97.6562 loss_bbox: 0.2124 loss_mask: 0.2078 +2024/01/16 02:11:19 - mmengine - INFO - Epoch(train) [7][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:37:48 time: 0.7755 data_time: 0.0287 memory: 9120 loss: 0.7106 loss_rpn_cls: 0.0318 loss_rpn_bbox: 0.0375 loss_cls: 0.1959 acc: 98.4375 loss_bbox: 0.2226 loss_mask: 0.2229 +2024/01/16 02:11:59 - mmengine - INFO - Epoch(train) [7][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:37:10 time: 0.7971 data_time: 0.0305 memory: 9601 loss: 0.6844 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0338 loss_cls: 0.1811 acc: 100.0000 loss_bbox: 0.2171 loss_mask: 0.2260 +2024/01/16 02:12:38 - mmengine - INFO - Epoch(train) [7][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:36:26 time: 0.7731 data_time: 0.0312 memory: 10067 loss: 0.6225 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0287 loss_cls: 0.1714 acc: 96.4844 loss_bbox: 0.2098 loss_mask: 0.1862 +2024/01/16 02:13:17 - mmengine - INFO - Epoch(train) [7][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:35:46 time: 0.7898 data_time: 0.0349 memory: 10343 loss: 0.6939 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0350 loss_cls: 0.1991 acc: 92.1875 loss_bbox: 0.2247 loss_mask: 0.2088 +2024/01/16 02:13:57 - mmengine - INFO - Epoch(train) [7][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:35:09 time: 0.8047 data_time: 0.0309 memory: 9601 loss: 0.6288 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0320 loss_cls: 0.1743 acc: 99.8047 loss_bbox: 0.2009 loss_mask: 0.1976 +2024/01/16 02:14:38 - mmengine - INFO - Epoch(train) [7][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:34:33 time: 0.8088 data_time: 0.0331 memory: 10572 loss: 0.7032 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0387 loss_cls: 0.1855 acc: 85.7422 loss_bbox: 0.2410 loss_mask: 0.2139 +2024/01/16 02:15:18 - mmengine - INFO - Epoch(train) [7][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:33:56 time: 0.8048 data_time: 0.0320 memory: 9601 loss: 0.6576 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0304 loss_cls: 0.1770 acc: 93.7500 loss_bbox: 0.2161 loss_mask: 0.2062 +2024/01/16 02:15:57 - mmengine - INFO - Epoch(train) [7][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:33:14 time: 0.7819 data_time: 0.0277 memory: 10443 loss: 0.7016 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0343 loss_cls: 0.1786 acc: 98.2422 loss_bbox: 0.2370 loss_mask: 0.2274 +2024/01/16 02:16:37 - mmengine - INFO - Epoch(train) [7][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:32:35 time: 0.7938 data_time: 0.0372 memory: 10299 loss: 0.7474 loss_rpn_cls: 0.0396 loss_rpn_bbox: 0.0434 loss_cls: 0.2035 acc: 78.9062 loss_bbox: 0.2440 loss_mask: 0.2169 +2024/01/16 02:17:16 - mmengine - INFO - Epoch(train) [7][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:31:52 time: 0.7777 data_time: 0.0317 memory: 9601 loss: 0.6737 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0343 loss_cls: 0.1653 acc: 85.7422 loss_bbox: 0.2367 loss_mask: 0.2114 +2024/01/16 02:17:56 - mmengine - INFO - Epoch(train) [7][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:31:14 time: 0.7988 data_time: 0.0286 memory: 10986 loss: 0.7271 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0400 loss_cls: 0.1944 acc: 94.7266 loss_bbox: 0.2450 loss_mask: 0.2219 +2024/01/16 02:18:36 - mmengine - INFO - Epoch(train) [7][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:30:37 time: 0.8030 data_time: 0.0312 memory: 10222 loss: 0.6933 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0413 loss_cls: 0.1768 acc: 97.6562 loss_bbox: 0.2295 loss_mask: 0.2220 +2024/01/16 02:18:52 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 02:19:16 - mmengine - INFO - Epoch(train) [7][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:29:58 time: 0.7955 data_time: 0.0325 memory: 10572 loss: 0.6418 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0343 loss_cls: 0.1623 acc: 95.8984 loss_bbox: 0.2062 loss_mask: 0.2121 +2024/01/16 02:19:55 - mmengine - INFO - Epoch(train) [7][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:29:20 time: 0.7976 data_time: 0.0338 memory: 10572 loss: 0.7496 loss_rpn_cls: 0.0338 loss_rpn_bbox: 0.0400 loss_cls: 0.1965 acc: 98.6328 loss_bbox: 0.2516 loss_mask: 0.2277 +2024/01/16 02:20:35 - mmengine - INFO - Epoch(train) [7][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:28:41 time: 0.7964 data_time: 0.0331 memory: 10572 loss: 0.6583 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0393 loss_cls: 0.1708 acc: 93.3594 loss_bbox: 0.2107 loss_mask: 0.2106 +2024/01/16 02:21:15 - mmengine - INFO - Epoch(train) [7][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:28:02 time: 0.7929 data_time: 0.0294 memory: 10433 loss: 0.6652 loss_rpn_cls: 0.0353 loss_rpn_bbox: 0.0314 loss_cls: 0.1698 acc: 93.9453 loss_bbox: 0.2094 loss_mask: 0.2194 +2024/01/16 02:21:55 - mmengine - INFO - Epoch(train) [7][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:27:22 time: 0.7923 data_time: 0.0285 memory: 11102 loss: 0.5681 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0231 loss_cls: 0.1470 acc: 94.1406 loss_bbox: 0.1782 loss_mask: 0.1989 +2024/01/16 02:22:34 - mmengine - INFO - Epoch(train) [7][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:26:42 time: 0.7889 data_time: 0.0285 memory: 9947 loss: 0.6241 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0251 loss_cls: 0.1530 acc: 87.1094 loss_bbox: 0.2119 loss_mask: 0.2178 +2024/01/16 02:23:15 - mmengine - INFO - Epoch(train) [7][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:26:07 time: 0.8161 data_time: 0.0369 memory: 10361 loss: 0.7580 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0361 loss_cls: 0.2066 acc: 93.1641 loss_bbox: 0.2420 loss_mask: 0.2507 +2024/01/16 02:23:55 - mmengine - INFO - Epoch(train) [7][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:25:31 time: 0.8050 data_time: 0.0363 memory: 10571 loss: 0.7895 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0432 loss_cls: 0.2124 acc: 81.0547 loss_bbox: 0.2718 loss_mask: 0.2324 +2024/01/16 02:24:35 - mmengine - INFO - Epoch(train) [7][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:24:51 time: 0.7936 data_time: 0.0337 memory: 10067 loss: 0.6470 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0376 loss_cls: 0.1767 acc: 99.6094 loss_bbox: 0.2178 loss_mask: 0.1953 +2024/01/16 02:25:14 - mmengine - INFO - Epoch(train) [7][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:24:09 time: 0.7806 data_time: 0.0357 memory: 10532 loss: 0.7139 loss_rpn_cls: 0.0295 loss_rpn_bbox: 0.0408 loss_cls: 0.1829 acc: 88.8672 loss_bbox: 0.2511 loss_mask: 0.2095 +2024/01/16 02:25:54 - mmengine - INFO - Epoch(train) [7][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:23:31 time: 0.7965 data_time: 0.0425 memory: 10340 loss: 0.8144 loss_rpn_cls: 0.0343 loss_rpn_bbox: 0.0534 loss_cls: 0.2254 acc: 95.7031 loss_bbox: 0.2718 loss_mask: 0.2295 +2024/01/16 02:26:33 - mmengine - INFO - Epoch(train) [7][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:22:50 time: 0.7884 data_time: 0.0314 memory: 10660 loss: 0.7062 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0309 loss_cls: 0.1977 acc: 95.1172 loss_bbox: 0.2414 loss_mask: 0.2143 +2024/01/16 02:27:12 - mmengine - INFO - Epoch(train) [7][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:22:09 time: 0.7843 data_time: 0.0278 memory: 9684 loss: 0.7221 loss_rpn_cls: 0.0271 loss_rpn_bbox: 0.0310 loss_cls: 0.2088 acc: 80.6641 loss_bbox: 0.2408 loss_mask: 0.2144 +2024/01/16 02:27:52 - mmengine - INFO - Epoch(train) [7][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:21:29 time: 0.7920 data_time: 0.0306 memory: 10341 loss: 0.7175 loss_rpn_cls: 0.0362 loss_rpn_bbox: 0.0412 loss_cls: 0.2132 acc: 85.3516 loss_bbox: 0.2299 loss_mask: 0.1971 +2024/01/16 02:28:32 - mmengine - INFO - Epoch(train) [7][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:20:51 time: 0.7990 data_time: 0.0300 memory: 10986 loss: 0.6574 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0409 loss_cls: 0.1701 acc: 89.4531 loss_bbox: 0.2057 loss_mask: 0.2138 +2024/01/16 02:29:11 - mmengine - INFO - Epoch(train) [7][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:20:10 time: 0.7853 data_time: 0.0331 memory: 9737 loss: 0.6461 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0329 loss_cls: 0.1734 acc: 98.0469 loss_bbox: 0.2127 loss_mask: 0.2009 +2024/01/16 02:29:51 - mmengine - INFO - Epoch(train) [7][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:19:30 time: 0.7902 data_time: 0.0309 memory: 10299 loss: 0.6883 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0311 loss_cls: 0.1775 acc: 97.4609 loss_bbox: 0.2274 loss_mask: 0.2265 +2024/01/16 02:30:30 - mmengine - INFO - Epoch(train) [7][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:18:51 time: 0.7962 data_time: 0.0306 memory: 10583 loss: 0.6415 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0242 loss_cls: 0.1650 acc: 95.5078 loss_bbox: 0.2095 loss_mask: 0.2220 +2024/01/16 02:31:10 - mmengine - INFO - Epoch(train) [7][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:18:10 time: 0.7854 data_time: 0.0305 memory: 10067 loss: 0.7859 loss_rpn_cls: 0.0359 loss_rpn_bbox: 0.0460 loss_cls: 0.2065 acc: 98.2422 loss_bbox: 0.2560 loss_mask: 0.2413 +2024/01/16 02:31:50 - mmengine - INFO - Epoch(train) [7][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:17:31 time: 0.7971 data_time: 0.0323 memory: 9601 loss: 0.6362 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0303 loss_cls: 0.1678 acc: 98.4375 loss_bbox: 0.2022 loss_mask: 0.2062 +2024/01/16 02:32:05 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 02:32:29 - mmengine - INFO - Epoch(train) [7][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:16:52 time: 0.7947 data_time: 0.0351 memory: 10067 loss: 0.6833 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0299 loss_cls: 0.1882 acc: 78.7109 loss_bbox: 0.2331 loss_mask: 0.2094 +2024/01/16 02:33:10 - mmengine - INFO - Epoch(train) [7][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:16:17 time: 0.8119 data_time: 0.0310 memory: 10436 loss: 0.6310 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0344 loss_cls: 0.1811 acc: 90.2344 loss_bbox: 0.1995 loss_mask: 0.1939 +2024/01/16 02:33:50 - mmengine - INFO - Epoch(train) [7][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:15:38 time: 0.7941 data_time: 0.0322 memory: 9756 loss: 0.7215 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0397 loss_cls: 0.1830 acc: 95.5078 loss_bbox: 0.2455 loss_mask: 0.2269 +2024/01/16 02:34:29 - mmengine - INFO - Epoch(train) [7][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:14:56 time: 0.7814 data_time: 0.0315 memory: 11517 loss: 0.6988 loss_rpn_cls: 0.0364 loss_rpn_bbox: 0.0370 loss_cls: 0.1845 acc: 85.7422 loss_bbox: 0.2296 loss_mask: 0.2114 +2024/01/16 02:35:08 - mmengine - INFO - Epoch(train) [7][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:14:15 time: 0.7867 data_time: 0.0416 memory: 10571 loss: 0.8373 loss_rpn_cls: 0.0436 loss_rpn_bbox: 0.0508 loss_cls: 0.2253 acc: 99.8047 loss_bbox: 0.2802 loss_mask: 0.2375 +2024/01/16 02:35:47 - mmengine - INFO - Epoch(train) [7][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:13:34 time: 0.7854 data_time: 0.0333 memory: 10067 loss: 0.5594 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0254 loss_cls: 0.1453 acc: 95.7031 loss_bbox: 0.1863 loss_mask: 0.1854 +2024/01/16 02:36:28 - mmengine - INFO - Epoch(train) [7][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:12:57 time: 0.8041 data_time: 0.0302 memory: 10583 loss: 0.6390 loss_rpn_cls: 0.0307 loss_rpn_bbox: 0.0292 loss_cls: 0.1631 acc: 92.5781 loss_bbox: 0.1963 loss_mask: 0.2197 +2024/01/16 02:37:07 - mmengine - INFO - Epoch(train) [7][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:12:15 time: 0.7846 data_time: 0.0312 memory: 11102 loss: 0.6129 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0299 loss_cls: 0.1639 acc: 94.7266 loss_bbox: 0.1950 loss_mask: 0.2012 +2024/01/16 02:37:46 - mmengine - INFO - Epoch(train) [7][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:11:36 time: 0.7929 data_time: 0.0268 memory: 10069 loss: 0.6116 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0242 loss_cls: 0.1591 acc: 89.6484 loss_bbox: 0.1919 loss_mask: 0.2155 +2024/01/16 02:38:26 - mmengine - INFO - Epoch(train) [7][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:10:55 time: 0.7841 data_time: 0.0316 memory: 10357 loss: 0.6989 loss_rpn_cls: 0.0306 loss_rpn_bbox: 0.0390 loss_cls: 0.1858 acc: 98.6328 loss_bbox: 0.2413 loss_mask: 0.2022 +2024/01/16 02:39:05 - mmengine - INFO - Epoch(train) [7][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:10:16 time: 0.7972 data_time: 0.0300 memory: 10516 loss: 0.6776 loss_rpn_cls: 0.0374 loss_rpn_bbox: 0.0377 loss_cls: 0.1674 acc: 99.0234 loss_bbox: 0.2189 loss_mask: 0.2162 +2024/01/16 02:39:45 - mmengine - INFO - Epoch(train) [7][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:09:36 time: 0.7912 data_time: 0.0416 memory: 9949 loss: 0.7853 loss_rpn_cls: 0.0371 loss_rpn_bbox: 0.0438 loss_cls: 0.2075 acc: 95.1172 loss_bbox: 0.2566 loss_mask: 0.2403 +2024/01/16 02:40:25 - mmengine - INFO - Epoch(train) [7][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:08:57 time: 0.7948 data_time: 0.0346 memory: 9737 loss: 0.7416 loss_rpn_cls: 0.0351 loss_rpn_bbox: 0.0394 loss_cls: 0.1921 acc: 98.2422 loss_bbox: 0.2541 loss_mask: 0.2211 +2024/01/16 02:41:05 - mmengine - INFO - Epoch(train) [7][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:08:19 time: 0.8006 data_time: 0.0390 memory: 10572 loss: 0.7415 loss_rpn_cls: 0.0414 loss_rpn_bbox: 0.0433 loss_cls: 0.1879 acc: 89.8438 loss_bbox: 0.2529 loss_mask: 0.2160 +2024/01/16 02:41:44 - mmengine - INFO - Epoch(train) [7][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:07:39 time: 0.7901 data_time: 0.0278 memory: 9569 loss: 0.6683 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0318 loss_cls: 0.1805 acc: 93.9453 loss_bbox: 0.2112 loss_mask: 0.2204 +2024/01/16 02:42:24 - mmengine - INFO - Epoch(train) [7][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:06:59 time: 0.7899 data_time: 0.0310 memory: 10572 loss: 0.6135 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0320 loss_cls: 0.1669 acc: 99.0234 loss_bbox: 0.1950 loss_mask: 0.1953 +2024/01/16 02:43:03 - mmengine - INFO - Epoch(train) [7][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:06:16 time: 0.7748 data_time: 0.0279 memory: 10067 loss: 0.7039 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0332 loss_cls: 0.1857 acc: 94.9219 loss_bbox: 0.2193 loss_mask: 0.2410 +2024/01/16 02:43:42 - mmengine - INFO - Epoch(train) [7][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:05:36 time: 0.7917 data_time: 0.0306 memory: 9601 loss: 0.5913 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0293 loss_cls: 0.1589 acc: 100.0000 loss_bbox: 0.1998 loss_mask: 0.1870 +2024/01/16 02:44:22 - mmengine - INFO - Epoch(train) [7][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:04:57 time: 0.7955 data_time: 0.0306 memory: 10063 loss: 0.5990 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0290 loss_cls: 0.1598 acc: 92.7734 loss_bbox: 0.1791 loss_mask: 0.2139 +2024/01/16 02:45:01 - mmengine - INFO - Epoch(train) [7][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:04:16 time: 0.7842 data_time: 0.0323 memory: 9681 loss: 0.7271 loss_rpn_cls: 0.0365 loss_rpn_bbox: 0.0372 loss_cls: 0.2005 acc: 94.3359 loss_bbox: 0.2388 loss_mask: 0.2141 +2024/01/16 02:45:17 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 02:45:40 - mmengine - INFO - Epoch(train) [7][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:03:33 time: 0.7776 data_time: 0.0360 memory: 10486 loss: 0.6907 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0384 loss_cls: 0.1825 acc: 93.3594 loss_bbox: 0.2251 loss_mask: 0.2188 +2024/01/16 02:46:20 - mmengine - INFO - Epoch(train) [7][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:02:54 time: 0.7960 data_time: 0.0360 memory: 10568 loss: 0.6798 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0391 loss_cls: 0.1681 acc: 87.1094 loss_bbox: 0.2189 loss_mask: 0.2255 +2024/01/16 02:46:59 - mmengine - INFO - Epoch(train) [7][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:02:14 time: 0.7872 data_time: 0.0341 memory: 9949 loss: 0.7238 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0404 loss_cls: 0.1990 acc: 84.9609 loss_bbox: 0.2416 loss_mask: 0.2160 +2024/01/16 02:47:38 - mmengine - INFO - Epoch(train) [7][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:01:32 time: 0.7835 data_time: 0.0375 memory: 9737 loss: 0.7077 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0341 loss_cls: 0.1996 acc: 98.0469 loss_bbox: 0.2267 loss_mask: 0.2196 +2024/01/16 02:48:18 - mmengine - INFO - Epoch(train) [7][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:00:51 time: 0.7856 data_time: 0.0308 memory: 10406 loss: 0.6718 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0389 loss_cls: 0.1794 acc: 100.0000 loss_bbox: 0.2174 loss_mask: 0.2105 +2024/01/16 02:48:57 - mmengine - INFO - Epoch(train) [7][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 23:00:10 time: 0.7860 data_time: 0.0327 memory: 9734 loss: 0.7266 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0400 loss_cls: 0.2006 acc: 98.8281 loss_bbox: 0.2375 loss_mask: 0.2209 +2024/01/16 02:49:37 - mmengine - INFO - Epoch(train) [7][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:59:30 time: 0.7903 data_time: 0.0394 memory: 10271 loss: 0.7936 loss_rpn_cls: 0.0345 loss_rpn_bbox: 0.0495 loss_cls: 0.2156 acc: 98.8281 loss_bbox: 0.2722 loss_mask: 0.2219 +2024/01/16 02:50:16 - mmengine - INFO - Epoch(train) [7][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:58:51 time: 0.7916 data_time: 0.0342 memory: 10061 loss: 0.8230 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0422 loss_cls: 0.2122 acc: 94.5312 loss_bbox: 0.2881 loss_mask: 0.2522 +2024/01/16 02:50:56 - mmengine - INFO - Epoch(train) [7][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:58:11 time: 0.7932 data_time: 0.0363 memory: 11101 loss: 0.7023 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0361 loss_cls: 0.1682 acc: 99.8047 loss_bbox: 0.2501 loss_mask: 0.2208 +2024/01/16 02:51:35 - mmengine - INFO - Epoch(train) [7][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:57:28 time: 0.7771 data_time: 0.0349 memory: 10489 loss: 0.7847 loss_rpn_cls: 0.0356 loss_rpn_bbox: 0.0397 loss_cls: 0.2140 acc: 96.4844 loss_bbox: 0.2506 loss_mask: 0.2448 +2024/01/16 02:52:14 - mmengine - INFO - Epoch(train) [7][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:56:47 time: 0.7828 data_time: 0.0290 memory: 10260 loss: 0.6213 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0329 loss_cls: 0.1685 acc: 88.2812 loss_bbox: 0.2074 loss_mask: 0.1890 +2024/01/16 02:52:53 - mmengine - INFO - Epoch(train) [7][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:56:07 time: 0.7918 data_time: 0.0306 memory: 9947 loss: 0.7581 loss_rpn_cls: 0.0391 loss_rpn_bbox: 0.0348 loss_cls: 0.2110 acc: 88.2812 loss_bbox: 0.2290 loss_mask: 0.2442 +2024/01/16 02:53:33 - mmengine - INFO - Epoch(train) [7][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:55:29 time: 0.8007 data_time: 0.0303 memory: 10284 loss: 0.6850 loss_rpn_cls: 0.0399 loss_rpn_bbox: 0.0361 loss_cls: 0.1802 acc: 92.9688 loss_bbox: 0.2111 loss_mask: 0.2177 +2024/01/16 02:54:13 - mmengine - INFO - Epoch(train) [7][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:54:48 time: 0.7856 data_time: 0.0317 memory: 10572 loss: 0.6625 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0352 loss_cls: 0.1717 acc: 98.6328 loss_bbox: 0.2219 loss_mask: 0.2103 +2024/01/16 02:54:52 - mmengine - INFO - Epoch(train) [7][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:54:08 time: 0.7867 data_time: 0.0365 memory: 10360 loss: 0.7140 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0363 loss_cls: 0.1826 acc: 96.8750 loss_bbox: 0.2350 loss_mask: 0.2367 +2024/01/16 02:55:32 - mmengine - INFO - Epoch(train) [7][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:53:28 time: 0.7909 data_time: 0.0322 memory: 11068 loss: 0.6429 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0318 loss_cls: 0.1763 acc: 87.1094 loss_bbox: 0.2083 loss_mask: 0.2019 +2024/01/16 02:56:11 - mmengine - INFO - Epoch(train) [7][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:52:47 time: 0.7873 data_time: 0.0312 memory: 10469 loss: 0.6527 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0310 loss_cls: 0.1707 acc: 96.8750 loss_bbox: 0.2267 loss_mask: 0.2020 +2024/01/16 02:56:50 - mmengine - INFO - Epoch(train) [7][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:52:06 time: 0.7870 data_time: 0.0285 memory: 9800 loss: 0.5634 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0252 loss_cls: 0.1450 acc: 99.4141 loss_bbox: 0.1904 loss_mask: 0.1888 +2024/01/16 02:57:30 - mmengine - INFO - Epoch(train) [7][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:51:29 time: 0.8020 data_time: 0.0297 memory: 9601 loss: 0.6299 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0328 loss_cls: 0.1587 acc: 93.7500 loss_bbox: 0.1993 loss_mask: 0.2177 +2024/01/16 02:58:10 - mmengine - INFO - Epoch(train) [7][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:50:50 time: 0.7979 data_time: 0.0345 memory: 9417 loss: 0.5743 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0323 loss_cls: 0.1521 acc: 88.4766 loss_bbox: 0.1864 loss_mask: 0.1842 +2024/01/16 02:58:27 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 02:58:51 - mmengine - INFO - Epoch(train) [7][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:50:14 time: 0.8090 data_time: 0.0359 memory: 10871 loss: 0.7777 loss_rpn_cls: 0.0294 loss_rpn_bbox: 0.0399 loss_cls: 0.2080 acc: 98.6328 loss_bbox: 0.2827 loss_mask: 0.2176 +2024/01/16 02:59:31 - mmengine - INFO - Epoch(train) [7][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:49:37 time: 0.8031 data_time: 0.0295 memory: 10142 loss: 0.6829 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0362 loss_cls: 0.1808 acc: 96.8750 loss_bbox: 0.2285 loss_mask: 0.2114 +2024/01/16 03:00:11 - mmengine - INFO - Epoch(train) [7][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:49:00 time: 0.8027 data_time: 0.0348 memory: 10479 loss: 0.6552 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0381 loss_cls: 0.1730 acc: 97.0703 loss_bbox: 0.2226 loss_mask: 0.1966 +2024/01/16 03:00:51 - mmengine - INFO - Epoch(train) [7][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:48:20 time: 0.7930 data_time: 0.0291 memory: 9601 loss: 0.5792 loss_rpn_cls: 0.0278 loss_rpn_bbox: 0.0308 loss_cls: 0.1527 acc: 98.6328 loss_bbox: 0.1935 loss_mask: 0.1744 +2024/01/16 03:01:30 - mmengine - INFO - Epoch(train) [7][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:47:40 time: 0.7922 data_time: 0.0287 memory: 10568 loss: 0.5334 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0251 loss_cls: 0.1400 acc: 100.0000 loss_bbox: 0.1624 loss_mask: 0.1886 +2024/01/16 03:02:10 - mmengine - INFO - Epoch(train) [7][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:47:01 time: 0.7921 data_time: 0.0379 memory: 10189 loss: 0.7513 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0387 loss_cls: 0.2207 acc: 99.6094 loss_bbox: 0.2462 loss_mask: 0.2232 +2024/01/16 03:02:34 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 03:02:34 - mmengine - INFO - Saving checkpoint at 7 epochs +2024/01/16 03:02:48 - mmengine - INFO - Epoch(val) [7][ 50/313] eta: 0:00:53 time: 0.2050 data_time: 0.0427 memory: 10583 +2024/01/16 03:02:57 - mmengine - INFO - Epoch(val) [7][100/313] eta: 0:00:42 time: 0.1944 data_time: 0.0315 memory: 2388 +2024/01/16 03:03:07 - mmengine - INFO - Epoch(val) [7][150/313] eta: 0:00:31 time: 0.1822 data_time: 0.0230 memory: 2431 +2024/01/16 03:03:17 - mmengine - INFO - Epoch(val) [7][200/313] eta: 0:00:22 time: 0.2048 data_time: 0.0415 memory: 2403 +2024/01/16 03:03:27 - mmengine - INFO - Epoch(val) [7][250/313] eta: 0:00:12 time: 0.1936 data_time: 0.0363 memory: 2431 +2024/01/16 03:03:36 - mmengine - INFO - Epoch(val) [7][300/313] eta: 0:00:02 time: 0.1950 data_time: 0.0339 memory: 2403 +2024/01/16 03:03:46 - mmengine - INFO - Evaluating bbox... +2024/01/16 03:04:11 - mmengine - INFO - bbox_mAP_copypaste: 0.453 0.679 0.500 0.287 0.493 0.594 +2024/01/16 03:04:11 - mmengine - INFO - Evaluating segm... +2024/01/16 03:04:40 - mmengine - INFO - segm_mAP_copypaste: 0.405 0.642 0.434 0.208 0.442 0.595 +2024/01/16 03:04:40 - mmengine - INFO - Epoch(val) [7][313/313] coco/bbox_mAP: 0.4530 coco/bbox_mAP_50: 0.6790 coco/bbox_mAP_75: 0.5000 coco/bbox_mAP_s: 0.2870 coco/bbox_mAP_m: 0.4930 coco/bbox_mAP_l: 0.5940 coco/segm_mAP: 0.4050 coco/segm_mAP_50: 0.6420 coco/segm_mAP_75: 0.4340 coco/segm_mAP_s: 0.2080 coco/segm_mAP_m: 0.4420 coco/segm_mAP_l: 0.5950 data_time: 0.0336 time: 0.1944 +2024/01/16 03:05:22 - mmengine - INFO - Epoch(train) [8][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:46:05 time: 0.8252 data_time: 0.0384 memory: 9459 loss: 0.5687 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0257 loss_cls: 0.1513 acc: 99.2188 loss_bbox: 0.1893 loss_mask: 0.1877 +2024/01/16 03:06:02 - mmengine - INFO - Epoch(train) [8][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:45:29 time: 0.8094 data_time: 0.0326 memory: 9601 loss: 0.6537 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0398 loss_cls: 0.1705 acc: 100.0000 loss_bbox: 0.2121 loss_mask: 0.2044 +2024/01/16 03:06:42 - mmengine - INFO - Epoch(train) [8][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:44:48 time: 0.7895 data_time: 0.0348 memory: 10126 loss: 0.5988 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0338 loss_cls: 0.1486 acc: 99.2188 loss_bbox: 0.2018 loss_mask: 0.1941 +2024/01/16 03:07:21 - mmengine - INFO - Epoch(train) [8][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:44:09 time: 0.7911 data_time: 0.0340 memory: 10572 loss: 0.7229 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0393 loss_cls: 0.1902 acc: 91.6016 loss_bbox: 0.2359 loss_mask: 0.2310 +2024/01/16 03:08:01 - mmengine - INFO - Epoch(train) [8][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:43:29 time: 0.7935 data_time: 0.0304 memory: 9253 loss: 0.6963 loss_rpn_cls: 0.0316 loss_rpn_bbox: 0.0391 loss_cls: 0.1899 acc: 85.7422 loss_bbox: 0.2366 loss_mask: 0.1991 +2024/01/16 03:08:40 - mmengine - INFO - Epoch(train) [8][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:42:46 time: 0.7728 data_time: 0.0328 memory: 10347 loss: 0.5918 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0291 loss_cls: 0.1413 acc: 89.8438 loss_bbox: 0.1997 loss_mask: 0.1960 +2024/01/16 03:09:18 - mmengine - INFO - Epoch(train) [8][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:42:02 time: 0.7746 data_time: 0.0317 memory: 10067 loss: 0.6563 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0357 loss_cls: 0.1805 acc: 97.2656 loss_bbox: 0.2115 loss_mask: 0.2053 +2024/01/16 03:09:58 - mmengine - INFO - Epoch(train) [8][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:41:24 time: 0.7975 data_time: 0.0377 memory: 11102 loss: 0.7040 loss_rpn_cls: 0.0271 loss_rpn_bbox: 0.0337 loss_cls: 0.1763 acc: 94.1406 loss_bbox: 0.2351 loss_mask: 0.2318 +2024/01/16 03:10:37 - mmengine - INFO - Epoch(train) [8][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:40:43 time: 0.7867 data_time: 0.0303 memory: 10067 loss: 0.5937 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0289 loss_cls: 0.1470 acc: 87.5000 loss_bbox: 0.1872 loss_mask: 0.2043 +2024/01/16 03:11:17 - mmengine - INFO - Epoch(train) [8][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:40:03 time: 0.7880 data_time: 0.0350 memory: 10568 loss: 0.6764 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0378 loss_cls: 0.1822 acc: 98.2422 loss_bbox: 0.2241 loss_mask: 0.2078 +2024/01/16 03:11:57 - mmengine - INFO - Epoch(train) [8][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:39:23 time: 0.7943 data_time: 0.0316 memory: 10186 loss: 0.5703 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0253 loss_cls: 0.1485 acc: 93.5547 loss_bbox: 0.1953 loss_mask: 0.1870 +2024/01/16 03:12:37 - mmengine - INFO - Epoch(train) [8][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:38:46 time: 0.8046 data_time: 0.0272 memory: 10067 loss: 0.6725 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0310 loss_cls: 0.1791 acc: 95.3125 loss_bbox: 0.2364 loss_mask: 0.2023 +2024/01/16 03:13:16 - mmengine - INFO - Epoch(train) [8][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:38:06 time: 0.7872 data_time: 0.0286 memory: 10067 loss: 0.6652 loss_rpn_cls: 0.0274 loss_rpn_bbox: 0.0316 loss_cls: 0.1660 acc: 96.6797 loss_bbox: 0.2019 loss_mask: 0.2384 +2024/01/16 03:13:49 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 03:13:57 - mmengine - INFO - Epoch(train) [8][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:37:29 time: 0.8060 data_time: 0.0357 memory: 10060 loss: 0.7249 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0390 loss_cls: 0.1941 acc: 88.8672 loss_bbox: 0.2377 loss_mask: 0.2297 +2024/01/16 03:14:37 - mmengine - INFO - Epoch(train) [8][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:36:54 time: 0.8127 data_time: 0.0268 memory: 10278 loss: 0.6114 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0279 loss_cls: 0.1694 acc: 96.4844 loss_bbox: 0.1910 loss_mask: 0.2034 +2024/01/16 03:15:17 - mmengine - INFO - Epoch(train) [8][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:36:14 time: 0.7906 data_time: 0.0346 memory: 10226 loss: 0.7046 loss_rpn_cls: 0.0367 loss_rpn_bbox: 0.0397 loss_cls: 0.1925 acc: 98.6328 loss_bbox: 0.2331 loss_mask: 0.2027 +2024/01/16 03:15:57 - mmengine - INFO - Epoch(train) [8][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:35:35 time: 0.7982 data_time: 0.0366 memory: 10067 loss: 0.7118 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0431 loss_cls: 0.1861 acc: 98.2422 loss_bbox: 0.2293 loss_mask: 0.2256 +2024/01/16 03:16:36 - mmengine - INFO - Epoch(train) [8][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:34:55 time: 0.7886 data_time: 0.0311 memory: 10470 loss: 0.7338 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0312 loss_cls: 0.2021 acc: 97.8516 loss_bbox: 0.2441 loss_mask: 0.2294 +2024/01/16 03:17:16 - mmengine - INFO - Epoch(train) [8][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:34:16 time: 0.7970 data_time: 0.0368 memory: 10572 loss: 0.6900 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0398 loss_cls: 0.1785 acc: 91.0156 loss_bbox: 0.2282 loss_mask: 0.2164 +2024/01/16 03:17:55 - mmengine - INFO - Epoch(train) [8][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:33:36 time: 0.7908 data_time: 0.0331 memory: 10067 loss: 0.6290 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0313 loss_cls: 0.1635 acc: 92.9688 loss_bbox: 0.2062 loss_mask: 0.2019 +2024/01/16 03:18:36 - mmengine - INFO - Epoch(train) [8][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:32:59 time: 0.8055 data_time: 0.0376 memory: 10572 loss: 0.6503 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0335 loss_cls: 0.1713 acc: 97.6562 loss_bbox: 0.2196 loss_mask: 0.2089 +2024/01/16 03:19:16 - mmengine - INFO - Epoch(train) [8][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:32:22 time: 0.8038 data_time: 0.0376 memory: 9749 loss: 0.7307 loss_rpn_cls: 0.0323 loss_rpn_bbox: 0.0415 loss_cls: 0.1940 acc: 93.3594 loss_bbox: 0.2462 loss_mask: 0.2167 +2024/01/16 03:19:55 - mmengine - INFO - Epoch(train) [8][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:31:42 time: 0.7883 data_time: 0.0339 memory: 10278 loss: 0.7039 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0408 loss_cls: 0.1766 acc: 91.9922 loss_bbox: 0.2398 loss_mask: 0.2205 +2024/01/16 03:20:36 - mmengine - INFO - Epoch(train) [8][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:31:04 time: 0.8036 data_time: 0.0346 memory: 10455 loss: 0.6778 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0322 loss_cls: 0.1740 acc: 98.4375 loss_bbox: 0.2258 loss_mask: 0.2261 +2024/01/16 03:21:15 - mmengine - INFO - Epoch(train) [8][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:30:23 time: 0.7851 data_time: 0.0321 memory: 9253 loss: 0.6881 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0400 loss_cls: 0.1785 acc: 91.4062 loss_bbox: 0.2432 loss_mask: 0.2053 +2024/01/16 03:21:54 - mmengine - INFO - Epoch(train) [8][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:29:43 time: 0.7893 data_time: 0.0340 memory: 10067 loss: 0.6644 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0343 loss_cls: 0.1794 acc: 96.8750 loss_bbox: 0.2274 loss_mask: 0.1988 +2024/01/16 03:22:34 - mmengine - INFO - Epoch(train) [8][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:29:04 time: 0.7945 data_time: 0.0275 memory: 10509 loss: 0.5662 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0253 loss_cls: 0.1517 acc: 99.2188 loss_bbox: 0.1837 loss_mask: 0.1871 +2024/01/16 03:23:13 - mmengine - INFO - Epoch(train) [8][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:28:24 time: 0.7894 data_time: 0.0322 memory: 9122 loss: 0.6312 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0309 loss_cls: 0.1581 acc: 96.2891 loss_bbox: 0.2135 loss_mask: 0.2045 +2024/01/16 03:23:52 - mmengine - INFO - Epoch(train) [8][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:27:41 time: 0.7777 data_time: 0.0340 memory: 10067 loss: 0.6609 loss_rpn_cls: 0.0329 loss_rpn_bbox: 0.0428 loss_cls: 0.1746 acc: 78.3203 loss_bbox: 0.2173 loss_mask: 0.1933 +2024/01/16 03:24:32 - mmengine - INFO - Epoch(train) [8][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:27:02 time: 0.7947 data_time: 0.0286 memory: 10067 loss: 0.5863 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0263 loss_cls: 0.1555 acc: 90.4297 loss_bbox: 0.1891 loss_mask: 0.1974 +2024/01/16 03:25:12 - mmengine - INFO - Epoch(train) [8][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:26:25 time: 0.8031 data_time: 0.0335 memory: 9737 loss: 0.7192 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0390 loss_cls: 0.1724 acc: 83.3984 loss_bbox: 0.2420 loss_mask: 0.2416 +2024/01/16 03:25:53 - mmengine - INFO - Epoch(train) [8][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:25:48 time: 0.8073 data_time: 0.0364 memory: 10067 loss: 0.7087 loss_rpn_cls: 0.0349 loss_rpn_bbox: 0.0317 loss_cls: 0.1903 acc: 98.4375 loss_bbox: 0.2393 loss_mask: 0.2126 +2024/01/16 03:26:33 - mmengine - INFO - Epoch(train) [8][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:25:10 time: 0.8030 data_time: 0.0340 memory: 10067 loss: 0.6984 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0354 loss_cls: 0.1863 acc: 99.8047 loss_bbox: 0.2317 loss_mask: 0.2203 +2024/01/16 03:27:04 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 03:27:12 - mmengine - INFO - Epoch(train) [8][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:24:29 time: 0.7849 data_time: 0.0310 memory: 9364 loss: 0.6314 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0284 loss_cls: 0.1518 acc: 90.2344 loss_bbox: 0.2129 loss_mask: 0.2206 +2024/01/16 03:27:51 - mmengine - INFO - Epoch(train) [8][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:23:47 time: 0.7766 data_time: 0.0381 memory: 9601 loss: 0.6459 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0333 loss_cls: 0.1632 acc: 99.0234 loss_bbox: 0.2099 loss_mask: 0.2098 +2024/01/16 03:28:31 - mmengine - INFO - Epoch(train) [8][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:23:10 time: 0.8078 data_time: 0.0345 memory: 10572 loss: 0.7201 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0371 loss_cls: 0.1887 acc: 94.5312 loss_bbox: 0.2493 loss_mask: 0.2184 +2024/01/16 03:29:10 - mmengine - INFO - Epoch(train) [8][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:22:29 time: 0.7830 data_time: 0.0291 memory: 9420 loss: 0.7096 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0394 loss_cls: 0.1840 acc: 99.0234 loss_bbox: 0.2398 loss_mask: 0.2192 +2024/01/16 03:29:49 - mmengine - INFO - Epoch(train) [8][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:21:46 time: 0.7748 data_time: 0.0321 memory: 9338 loss: 0.5745 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0290 loss_cls: 0.1515 acc: 98.0469 loss_bbox: 0.1751 loss_mask: 0.1913 +2024/01/16 03:30:29 - mmengine - INFO - Epoch(train) [8][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:21:07 time: 0.7976 data_time: 0.0340 memory: 9800 loss: 0.7198 loss_rpn_cls: 0.0292 loss_rpn_bbox: 0.0399 loss_cls: 0.1952 acc: 99.4141 loss_bbox: 0.2404 loss_mask: 0.2151 +2024/01/16 03:31:08 - mmengine - INFO - Epoch(train) [8][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:20:23 time: 0.7693 data_time: 0.0387 memory: 10067 loss: 0.6370 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0327 loss_cls: 0.1753 acc: 99.2188 loss_bbox: 0.2095 loss_mask: 0.1984 +2024/01/16 03:31:47 - mmengine - INFO - Epoch(train) [8][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:19:42 time: 0.7843 data_time: 0.0353 memory: 10423 loss: 0.6999 loss_rpn_cls: 0.0348 loss_rpn_bbox: 0.0398 loss_cls: 0.1899 acc: 85.1562 loss_bbox: 0.2254 loss_mask: 0.2099 +2024/01/16 03:32:27 - mmengine - INFO - Epoch(train) [8][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:19:04 time: 0.8016 data_time: 0.0285 memory: 10299 loss: 0.6543 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0326 loss_cls: 0.1738 acc: 97.6562 loss_bbox: 0.2088 loss_mask: 0.2153 +2024/01/16 03:33:06 - mmengine - INFO - Epoch(train) [8][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:18:22 time: 0.7781 data_time: 0.0348 memory: 10067 loss: 0.7631 loss_rpn_cls: 0.0337 loss_rpn_bbox: 0.0442 loss_cls: 0.2159 acc: 96.6797 loss_bbox: 0.2564 loss_mask: 0.2129 +2024/01/16 03:33:46 - mmengine - INFO - Epoch(train) [8][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:17:45 time: 0.8083 data_time: 0.0288 memory: 11099 loss: 0.7413 loss_rpn_cls: 0.0302 loss_rpn_bbox: 0.0357 loss_cls: 0.2035 acc: 95.5078 loss_bbox: 0.2461 loss_mask: 0.2258 +2024/01/16 03:34:26 - mmengine - INFO - Epoch(train) [8][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:17:04 time: 0.7862 data_time: 0.0371 memory: 11102 loss: 0.8592 loss_rpn_cls: 0.0436 loss_rpn_bbox: 0.0574 loss_cls: 0.2279 acc: 86.9141 loss_bbox: 0.2921 loss_mask: 0.2382 +2024/01/16 03:35:05 - mmengine - INFO - Epoch(train) [8][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:16:24 time: 0.7897 data_time: 0.0317 memory: 10786 loss: 0.6818 loss_rpn_cls: 0.0340 loss_rpn_bbox: 0.0388 loss_cls: 0.1941 acc: 82.2266 loss_bbox: 0.2094 loss_mask: 0.2055 +2024/01/16 03:35:44 - mmengine - INFO - Epoch(train) [8][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:15:41 time: 0.7723 data_time: 0.0349 memory: 10067 loss: 0.7427 loss_rpn_cls: 0.0312 loss_rpn_bbox: 0.0369 loss_cls: 0.1984 acc: 86.1328 loss_bbox: 0.2585 loss_mask: 0.2177 +2024/01/16 03:36:24 - mmengine - INFO - Epoch(train) [8][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:15:03 time: 0.8037 data_time: 0.0332 memory: 10526 loss: 0.5965 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0275 loss_cls: 0.1682 acc: 99.0234 loss_bbox: 0.1954 loss_mask: 0.1880 +2024/01/16 03:37:04 - mmengine - INFO - Epoch(train) [8][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:14:26 time: 0.8064 data_time: 0.0320 memory: 10583 loss: 0.6548 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0343 loss_cls: 0.1726 acc: 88.6719 loss_bbox: 0.2163 loss_mask: 0.2087 +2024/01/16 03:37:44 - mmengine - INFO - Epoch(train) [8][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:13:47 time: 0.7953 data_time: 0.0317 memory: 10067 loss: 0.6676 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0407 loss_cls: 0.1635 acc: 99.8047 loss_bbox: 0.2164 loss_mask: 0.2174 +2024/01/16 03:38:24 - mmengine - INFO - Epoch(train) [8][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:13:08 time: 0.7953 data_time: 0.0345 memory: 11517 loss: 0.6009 loss_rpn_cls: 0.0299 loss_rpn_bbox: 0.0329 loss_cls: 0.1498 acc: 97.2656 loss_bbox: 0.1926 loss_mask: 0.1957 +2024/01/16 03:39:04 - mmengine - INFO - Epoch(train) [8][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:12:31 time: 0.8043 data_time: 0.0294 memory: 9459 loss: 0.6798 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0287 loss_cls: 0.1856 acc: 78.9062 loss_bbox: 0.2266 loss_mask: 0.2093 +2024/01/16 03:39:43 - mmengine - INFO - Epoch(train) [8][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:11:51 time: 0.7902 data_time: 0.0352 memory: 10450 loss: 0.6776 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0334 loss_cls: 0.1786 acc: 84.9609 loss_bbox: 0.2227 loss_mask: 0.2229 +2024/01/16 03:40:15 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 03:40:23 - mmengine - INFO - Epoch(train) [8][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:11:12 time: 0.7943 data_time: 0.0335 memory: 10568 loss: 0.6776 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0297 loss_cls: 0.1759 acc: 93.3594 loss_bbox: 0.2301 loss_mask: 0.2184 +2024/01/16 03:41:04 - mmengine - INFO - Epoch(train) [8][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:10:37 time: 0.8146 data_time: 0.0305 memory: 10486 loss: 0.5484 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0223 loss_cls: 0.1400 acc: 84.5703 loss_bbox: 0.1716 loss_mask: 0.2006 +2024/01/16 03:41:44 - mmengine - INFO - Epoch(train) [8][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:09:59 time: 0.8031 data_time: 0.0338 memory: 10572 loss: 0.7528 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0409 loss_cls: 0.2081 acc: 97.6562 loss_bbox: 0.2456 loss_mask: 0.2278 +2024/01/16 03:42:24 - mmengine - INFO - Epoch(train) [8][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:09:20 time: 0.7970 data_time: 0.0339 memory: 9601 loss: 0.6890 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0377 loss_cls: 0.1826 acc: 84.5703 loss_bbox: 0.2184 loss_mask: 0.2254 +2024/01/16 03:43:04 - mmengine - INFO - Epoch(train) [8][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:08:42 time: 0.7994 data_time: 0.0335 memory: 10090 loss: 0.7018 loss_rpn_cls: 0.0306 loss_rpn_bbox: 0.0348 loss_cls: 0.1853 acc: 94.7266 loss_bbox: 0.2235 loss_mask: 0.2276 +2024/01/16 03:43:43 - mmengine - INFO - Epoch(train) [8][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:07:59 time: 0.7747 data_time: 0.0357 memory: 10572 loss: 0.6592 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0317 loss_cls: 0.1774 acc: 98.8281 loss_bbox: 0.2227 loss_mask: 0.2094 +2024/01/16 03:44:22 - mmengine - INFO - Epoch(train) [8][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:07:19 time: 0.7882 data_time: 0.0296 memory: 9797 loss: 0.6330 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0302 loss_cls: 0.1727 acc: 95.7031 loss_bbox: 0.2164 loss_mask: 0.1898 +2024/01/16 03:45:02 - mmengine - INFO - Epoch(train) [8][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:06:40 time: 0.7991 data_time: 0.0347 memory: 10292 loss: 0.6845 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0356 loss_cls: 0.1840 acc: 99.8047 loss_bbox: 0.2400 loss_mask: 0.2025 +2024/01/16 03:45:42 - mmengine - INFO - Epoch(train) [8][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:06:01 time: 0.7910 data_time: 0.0323 memory: 10568 loss: 0.6113 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0340 loss_cls: 0.1533 acc: 98.8281 loss_bbox: 0.2023 loss_mask: 0.1989 +2024/01/16 03:46:22 - mmengine - INFO - Epoch(train) [8][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:05:24 time: 0.8074 data_time: 0.0327 memory: 10583 loss: 0.6810 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0333 loss_cls: 0.1805 acc: 85.9375 loss_bbox: 0.2205 loss_mask: 0.2171 +2024/01/16 03:47:01 - mmengine - INFO - Epoch(train) [8][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:04:43 time: 0.7861 data_time: 0.0315 memory: 10152 loss: 0.6904 loss_rpn_cls: 0.0274 loss_rpn_bbox: 0.0392 loss_cls: 0.1861 acc: 97.2656 loss_bbox: 0.2236 loss_mask: 0.2140 +2024/01/16 03:47:41 - mmengine - INFO - Epoch(train) [8][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:04:06 time: 0.8036 data_time: 0.0371 memory: 11102 loss: 0.7145 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0379 loss_cls: 0.2002 acc: 98.6328 loss_bbox: 0.2334 loss_mask: 0.2167 +2024/01/16 03:48:21 - mmengine - INFO - Epoch(train) [8][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:03:25 time: 0.7866 data_time: 0.0356 memory: 10572 loss: 0.6335 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0305 loss_cls: 0.1736 acc: 94.5312 loss_bbox: 0.2249 loss_mask: 0.1866 +2024/01/16 03:49:00 - mmengine - INFO - Epoch(train) [8][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:02:45 time: 0.7893 data_time: 0.0363 memory: 10060 loss: 0.7193 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0385 loss_cls: 0.1905 acc: 95.7031 loss_bbox: 0.2435 loss_mask: 0.2227 +2024/01/16 03:49:39 - mmengine - INFO - Epoch(train) [8][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:02:02 time: 0.7745 data_time: 0.0283 memory: 9599 loss: 0.5504 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0301 loss_cls: 0.1366 acc: 98.8281 loss_bbox: 0.1634 loss_mask: 0.1938 +2024/01/16 03:50:19 - mmengine - INFO - Epoch(train) [8][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:01:22 time: 0.7912 data_time: 0.0284 memory: 10926 loss: 0.5960 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0306 loss_cls: 0.1482 acc: 97.4609 loss_bbox: 0.1905 loss_mask: 0.2044 +2024/01/16 03:50:58 - mmengine - INFO - Epoch(train) [8][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:00:43 time: 0.7941 data_time: 0.0365 memory: 10640 loss: 0.7210 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0345 loss_cls: 0.1859 acc: 98.2422 loss_bbox: 0.2461 loss_mask: 0.2249 +2024/01/16 03:51:38 - mmengine - INFO - Epoch(train) [8][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 22:00:04 time: 0.7990 data_time: 0.0350 memory: 10321 loss: 0.7456 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0378 loss_cls: 0.1988 acc: 96.0938 loss_bbox: 0.2579 loss_mask: 0.2207 +2024/01/16 03:52:18 - mmengine - INFO - Epoch(train) [8][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:59:25 time: 0.7934 data_time: 0.0335 memory: 10572 loss: 0.7748 loss_rpn_cls: 0.0446 loss_rpn_bbox: 0.0416 loss_cls: 0.2074 acc: 95.3125 loss_bbox: 0.2458 loss_mask: 0.2354 +2024/01/16 03:52:57 - mmengine - INFO - Epoch(train) [8][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:58:43 time: 0.7829 data_time: 0.0316 memory: 10013 loss: 0.6039 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0309 loss_cls: 0.1601 acc: 91.0156 loss_bbox: 0.1884 loss_mask: 0.2060 +2024/01/16 03:53:28 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 03:53:37 - mmengine - INFO - Epoch(train) [8][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:58:03 time: 0.7890 data_time: 0.0315 memory: 9905 loss: 0.7773 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0429 loss_cls: 0.2092 acc: 82.0312 loss_bbox: 0.2685 loss_mask: 0.2328 +2024/01/16 03:54:16 - mmengine - INFO - Epoch(train) [8][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:57:22 time: 0.7843 data_time: 0.0347 memory: 10297 loss: 0.6820 loss_rpn_cls: 0.0316 loss_rpn_bbox: 0.0371 loss_cls: 0.1793 acc: 96.0938 loss_bbox: 0.2153 loss_mask: 0.2187 +2024/01/16 03:54:55 - mmengine - INFO - Epoch(train) [8][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:56:42 time: 0.7882 data_time: 0.0301 memory: 9570 loss: 0.5618 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0235 loss_cls: 0.1512 acc: 84.3750 loss_bbox: 0.1821 loss_mask: 0.1881 +2024/01/16 03:55:35 - mmengine - INFO - Epoch(train) [8][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:56:05 time: 0.8054 data_time: 0.0331 memory: 10572 loss: 0.6404 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0282 loss_cls: 0.1663 acc: 96.6797 loss_bbox: 0.1932 loss_mask: 0.2259 +2024/01/16 03:56:15 - mmengine - INFO - Epoch(train) [8][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:55:23 time: 0.7834 data_time: 0.0349 memory: 10712 loss: 0.7748 loss_rpn_cls: 0.0414 loss_rpn_bbox: 0.0433 loss_cls: 0.2106 acc: 99.8047 loss_bbox: 0.2648 loss_mask: 0.2146 +2024/01/16 03:56:54 - mmengine - INFO - Epoch(train) [8][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:54:41 time: 0.7782 data_time: 0.0317 memory: 9603 loss: 0.7232 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0362 loss_cls: 0.1941 acc: 91.9922 loss_bbox: 0.2408 loss_mask: 0.2287 +2024/01/16 03:57:33 - mmengine - INFO - Epoch(train) [8][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:54:00 time: 0.7845 data_time: 0.0287 memory: 10225 loss: 0.6430 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0276 loss_cls: 0.1692 acc: 98.2422 loss_bbox: 0.2035 loss_mask: 0.2162 +2024/01/16 03:58:12 - mmengine - INFO - Epoch(train) [8][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:53:18 time: 0.7804 data_time: 0.0350 memory: 10291 loss: 0.7091 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0378 loss_cls: 0.1774 acc: 87.3047 loss_bbox: 0.2452 loss_mask: 0.2203 +2024/01/16 03:58:51 - mmengine - INFO - Epoch(train) [8][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:52:37 time: 0.7863 data_time: 0.0317 memory: 10357 loss: 0.8867 loss_rpn_cls: 0.0364 loss_rpn_bbox: 0.0488 loss_cls: 0.2480 acc: 86.7188 loss_bbox: 0.3185 loss_mask: 0.2351 +2024/01/16 03:59:31 - mmengine - INFO - Epoch(train) [8][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:51:57 time: 0.7903 data_time: 0.0342 memory: 10153 loss: 0.7101 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0340 loss_cls: 0.1946 acc: 93.9453 loss_bbox: 0.2261 loss_mask: 0.2274 +2024/01/16 04:00:11 - mmengine - INFO - Epoch(train) [8][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:51:20 time: 0.8025 data_time: 0.0385 memory: 10572 loss: 0.7285 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0367 loss_cls: 0.1921 acc: 99.0234 loss_bbox: 0.2452 loss_mask: 0.2231 +2024/01/16 04:00:49 - mmengine - INFO - Epoch(train) [8][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:50:36 time: 0.7709 data_time: 0.0309 memory: 10582 loss: 0.5795 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0216 loss_cls: 0.1664 acc: 84.9609 loss_bbox: 0.1904 loss_mask: 0.1839 +2024/01/16 04:01:28 - mmengine - INFO - Epoch(train) [8][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:49:54 time: 0.7805 data_time: 0.0353 memory: 10060 loss: 0.7790 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0429 loss_cls: 0.2037 acc: 99.4141 loss_bbox: 0.2776 loss_mask: 0.2274 +2024/01/16 04:02:08 - mmengine - INFO - Epoch(train) [8][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:49:13 time: 0.7833 data_time: 0.0279 memory: 10361 loss: 0.6641 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0329 loss_cls: 0.1796 acc: 91.9922 loss_bbox: 0.2257 loss_mask: 0.2053 +2024/01/16 04:02:47 - mmengine - INFO - Epoch(train) [8][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:48:32 time: 0.7867 data_time: 0.0346 memory: 10489 loss: 0.7165 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0409 loss_cls: 0.1977 acc: 96.4844 loss_bbox: 0.2325 loss_mask: 0.2219 +2024/01/16 04:03:26 - mmengine - INFO - Epoch(train) [8][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:47:53 time: 0.7910 data_time: 0.0354 memory: 10572 loss: 0.7195 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0406 loss_cls: 0.2009 acc: 87.5000 loss_bbox: 0.2349 loss_mask: 0.2159 +2024/01/16 04:04:06 - mmengine - INFO - Epoch(train) [8][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:47:13 time: 0.7932 data_time: 0.0284 memory: 9253 loss: 0.6611 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0390 loss_cls: 0.1726 acc: 98.6328 loss_bbox: 0.2015 loss_mask: 0.2203 +2024/01/16 04:04:46 - mmengine - INFO - Epoch(train) [8][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:46:33 time: 0.7916 data_time: 0.0310 memory: 9809 loss: 0.6552 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0358 loss_cls: 0.1728 acc: 100.0000 loss_bbox: 0.2127 loss_mask: 0.2108 +2024/01/16 04:05:26 - mmengine - INFO - Epoch(train) [8][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:45:55 time: 0.8003 data_time: 0.0381 memory: 10130 loss: 0.7042 loss_rpn_cls: 0.0292 loss_rpn_bbox: 0.0378 loss_cls: 0.1691 acc: 98.4375 loss_bbox: 0.2310 loss_mask: 0.2370 +2024/01/16 04:06:05 - mmengine - INFO - Epoch(train) [8][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:45:16 time: 0.7919 data_time: 0.0294 memory: 10104 loss: 0.6216 loss_rpn_cls: 0.0317 loss_rpn_bbox: 0.0298 loss_cls: 0.1606 acc: 95.1172 loss_bbox: 0.1984 loss_mask: 0.2011 +2024/01/16 04:06:37 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 04:06:45 - mmengine - INFO - Epoch(train) [8][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:44:35 time: 0.7892 data_time: 0.0330 memory: 10572 loss: 0.5878 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0285 loss_cls: 0.1623 acc: 88.2812 loss_bbox: 0.1829 loss_mask: 0.1900 +2024/01/16 04:07:24 - mmengine - INFO - Epoch(train) [8][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:43:55 time: 0.7875 data_time: 0.0296 memory: 10211 loss: 0.5971 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0301 loss_cls: 0.1519 acc: 91.7969 loss_bbox: 0.1886 loss_mask: 0.2064 +2024/01/16 04:08:04 - mmengine - INFO - Epoch(train) [8][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:43:15 time: 0.7907 data_time: 0.0300 memory: 10516 loss: 0.6109 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0368 loss_cls: 0.1655 acc: 98.8281 loss_bbox: 0.1963 loss_mask: 0.1892 +2024/01/16 04:08:43 - mmengine - INFO - Epoch(train) [8][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:42:34 time: 0.7834 data_time: 0.0274 memory: 9949 loss: 0.5414 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0272 loss_cls: 0.1430 acc: 93.9453 loss_bbox: 0.1681 loss_mask: 0.1841 +2024/01/16 04:09:22 - mmengine - INFO - Epoch(train) [8][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:41:53 time: 0.7870 data_time: 0.0391 memory: 10582 loss: 0.7285 loss_rpn_cls: 0.0338 loss_rpn_bbox: 0.0402 loss_cls: 0.1851 acc: 89.6484 loss_bbox: 0.2422 loss_mask: 0.2272 +2024/01/16 04:10:02 - mmengine - INFO - Epoch(train) [8][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:41:14 time: 0.7931 data_time: 0.0294 memory: 9570 loss: 0.6076 loss_rpn_cls: 0.0278 loss_rpn_bbox: 0.0272 loss_cls: 0.1465 acc: 89.2578 loss_bbox: 0.1925 loss_mask: 0.2136 +2024/01/16 04:10:41 - mmengine - INFO - Epoch(train) [8][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:40:34 time: 0.7883 data_time: 0.0330 memory: 8814 loss: 0.7449 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0394 loss_cls: 0.2095 acc: 81.0547 loss_bbox: 0.2424 loss_mask: 0.2283 +2024/01/16 04:11:21 - mmengine - INFO - Epoch(train) [8][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:39:52 time: 0.7830 data_time: 0.0289 memory: 10067 loss: 0.6614 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0309 loss_cls: 0.1700 acc: 93.1641 loss_bbox: 0.2320 loss_mask: 0.2094 +2024/01/16 04:12:00 - mmengine - INFO - Epoch(train) [8][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:39:10 time: 0.7807 data_time: 0.0329 memory: 10087 loss: 0.6482 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0338 loss_cls: 0.1771 acc: 97.0703 loss_bbox: 0.2105 loss_mask: 0.2020 +2024/01/16 04:12:39 - mmengine - INFO - Epoch(train) [8][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:38:31 time: 0.7923 data_time: 0.0375 memory: 10207 loss: 0.7425 loss_rpn_cls: 0.0337 loss_rpn_bbox: 0.0487 loss_cls: 0.1950 acc: 84.7656 loss_bbox: 0.2328 loss_mask: 0.2322 +2024/01/16 04:13:18 - mmengine - INFO - Epoch(train) [8][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:37:49 time: 0.7817 data_time: 0.0299 memory: 9947 loss: 0.6014 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0342 loss_cls: 0.1585 acc: 99.4141 loss_bbox: 0.1903 loss_mask: 0.1999 +2024/01/16 04:13:58 - mmengine - INFO - Epoch(train) [8][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:37:11 time: 0.7963 data_time: 0.0358 memory: 11102 loss: 0.7400 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0430 loss_cls: 0.1966 acc: 91.9922 loss_bbox: 0.2575 loss_mask: 0.2167 +2024/01/16 04:14:37 - mmengine - INFO - Epoch(train) [8][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:36:29 time: 0.7827 data_time: 0.0361 memory: 10232 loss: 0.7039 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0371 loss_cls: 0.1965 acc: 97.0703 loss_bbox: 0.2168 loss_mask: 0.2296 +2024/01/16 04:15:16 - mmengine - INFO - Epoch(train) [8][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:35:48 time: 0.7825 data_time: 0.0319 memory: 9601 loss: 0.6264 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0339 loss_cls: 0.1673 acc: 85.1562 loss_bbox: 0.1968 loss_mask: 0.2045 +2024/01/16 04:15:57 - mmengine - INFO - Epoch(train) [8][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:35:12 time: 0.8114 data_time: 0.0334 memory: 10789 loss: 0.7181 loss_rpn_cls: 0.0319 loss_rpn_bbox: 0.0391 loss_cls: 0.1840 acc: 93.5547 loss_bbox: 0.2525 loss_mask: 0.2105 +2024/01/16 04:16:37 - mmengine - INFO - Epoch(train) [8][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:34:32 time: 0.7920 data_time: 0.0341 memory: 10152 loss: 0.7428 loss_rpn_cls: 0.0274 loss_rpn_bbox: 0.0372 loss_cls: 0.2118 acc: 93.9453 loss_bbox: 0.2458 loss_mask: 0.2206 +2024/01/16 04:17:16 - mmengine - INFO - Epoch(train) [8][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:33:52 time: 0.7867 data_time: 0.0318 memory: 10284 loss: 0.7046 loss_rpn_cls: 0.0289 loss_rpn_bbox: 0.0356 loss_cls: 0.1716 acc: 98.8281 loss_bbox: 0.2399 loss_mask: 0.2286 +2024/01/16 04:17:56 - mmengine - INFO - Epoch(train) [8][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:33:13 time: 0.7995 data_time: 0.0300 memory: 10827 loss: 0.5810 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0216 loss_cls: 0.1553 acc: 88.8672 loss_bbox: 0.1918 loss_mask: 0.1961 +2024/01/16 04:18:35 - mmengine - INFO - Epoch(train) [8][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:32:31 time: 0.7802 data_time: 0.0328 memory: 9949 loss: 0.5985 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0290 loss_cls: 0.1590 acc: 99.6094 loss_bbox: 0.2012 loss_mask: 0.1887 +2024/01/16 04:19:14 - mmengine - INFO - Epoch(train) [8][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:31:50 time: 0.7847 data_time: 0.0319 memory: 10572 loss: 0.6742 loss_rpn_cls: 0.0336 loss_rpn_bbox: 0.0361 loss_cls: 0.1726 acc: 96.6797 loss_bbox: 0.2115 loss_mask: 0.2203 +2024/01/16 04:19:46 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 04:19:54 - mmengine - INFO - Epoch(train) [8][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:31:13 time: 0.8016 data_time: 0.0357 memory: 9601 loss: 0.6724 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0372 loss_cls: 0.1707 acc: 97.8516 loss_bbox: 0.2409 loss_mask: 0.1985 +2024/01/16 04:20:34 - mmengine - INFO - Epoch(train) [8][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:30:34 time: 0.7964 data_time: 0.0369 memory: 10878 loss: 0.6694 loss_rpn_cls: 0.0383 loss_rpn_bbox: 0.0373 loss_cls: 0.1696 acc: 92.7734 loss_bbox: 0.2141 loss_mask: 0.2102 +2024/01/16 04:21:14 - mmengine - INFO - Epoch(train) [8][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:29:56 time: 0.8029 data_time: 0.0287 memory: 9708 loss: 0.6490 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0324 loss_cls: 0.1603 acc: 94.5312 loss_bbox: 0.2137 loss_mask: 0.2198 +2024/01/16 04:21:53 - mmengine - INFO - Epoch(train) [8][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:29:14 time: 0.7773 data_time: 0.0436 memory: 9601 loss: 0.7760 loss_rpn_cls: 0.0278 loss_rpn_bbox: 0.0429 loss_cls: 0.2251 acc: 84.3750 loss_bbox: 0.2600 loss_mask: 0.2202 +2024/01/16 04:22:32 - mmengine - INFO - Epoch(train) [8][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:28:31 time: 0.7746 data_time: 0.0322 memory: 9570 loss: 0.6506 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0357 loss_cls: 0.1782 acc: 95.5078 loss_bbox: 0.2101 loss_mask: 0.2038 +2024/01/16 04:23:11 - mmengine - INFO - Epoch(train) [8][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:27:48 time: 0.7737 data_time: 0.0320 memory: 11099 loss: 0.7140 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0377 loss_cls: 0.1886 acc: 83.3984 loss_bbox: 0.2372 loss_mask: 0.2206 +2024/01/16 04:23:51 - mmengine - INFO - Epoch(train) [8][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:27:10 time: 0.8033 data_time: 0.0326 memory: 10610 loss: 0.6697 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0370 loss_cls: 0.1760 acc: 94.5312 loss_bbox: 0.2095 loss_mask: 0.2141 +2024/01/16 04:24:31 - mmengine - INFO - Epoch(train) [8][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:26:32 time: 0.7974 data_time: 0.0293 memory: 10180 loss: 0.5707 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0248 loss_cls: 0.1551 acc: 90.2344 loss_bbox: 0.1810 loss_mask: 0.1864 +2024/01/16 04:25:11 - mmengine - INFO - Epoch(train) [8][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:25:55 time: 0.8089 data_time: 0.0389 memory: 10139 loss: 0.6898 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0334 loss_cls: 0.1837 acc: 96.8750 loss_bbox: 0.2323 loss_mask: 0.2168 +2024/01/16 04:25:51 - mmengine - INFO - Epoch(train) [8][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:25:17 time: 0.7978 data_time: 0.0275 memory: 9616 loss: 0.5767 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0320 loss_cls: 0.1426 acc: 95.3125 loss_bbox: 0.1924 loss_mask: 0.1908 +2024/01/16 04:26:31 - mmengine - INFO - Epoch(train) [8][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:24:37 time: 0.7914 data_time: 0.0354 memory: 9947 loss: 0.6886 loss_rpn_cls: 0.0334 loss_rpn_bbox: 0.0381 loss_cls: 0.1947 acc: 95.7031 loss_bbox: 0.2232 loss_mask: 0.1992 +2024/01/16 04:27:10 - mmengine - INFO - Epoch(train) [8][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:23:55 time: 0.7803 data_time: 0.0324 memory: 10513 loss: 0.6182 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0312 loss_cls: 0.1684 acc: 95.3125 loss_bbox: 0.2040 loss_mask: 0.1871 +2024/01/16 04:27:49 - mmengine - INFO - Epoch(train) [8][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:23:15 time: 0.7889 data_time: 0.0303 memory: 10986 loss: 0.6220 loss_rpn_cls: 0.0289 loss_rpn_bbox: 0.0354 loss_cls: 0.1608 acc: 95.3125 loss_bbox: 0.2007 loss_mask: 0.1962 +2024/01/16 04:28:29 - mmengine - INFO - Epoch(train) [8][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:22:35 time: 0.7924 data_time: 0.0296 memory: 9800 loss: 0.6861 loss_rpn_cls: 0.0318 loss_rpn_bbox: 0.0362 loss_cls: 0.1740 acc: 98.6328 loss_bbox: 0.2346 loss_mask: 0.2095 +2024/01/16 04:29:08 - mmengine - INFO - Epoch(train) [8][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:21:54 time: 0.7821 data_time: 0.0369 memory: 10582 loss: 0.6414 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0335 loss_cls: 0.1841 acc: 96.4844 loss_bbox: 0.2113 loss_mask: 0.1928 +2024/01/16 04:29:48 - mmengine - INFO - Epoch(train) [8][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:21:16 time: 0.8030 data_time: 0.0379 memory: 11026 loss: 0.7292 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0361 loss_cls: 0.1976 acc: 78.9062 loss_bbox: 0.2391 loss_mask: 0.2322 +2024/01/16 04:30:28 - mmengine - INFO - Epoch(train) [8][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:20:38 time: 0.8016 data_time: 0.0322 memory: 9601 loss: 0.7265 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0325 loss_cls: 0.2125 acc: 98.6328 loss_bbox: 0.2399 loss_mask: 0.2184 +2024/01/16 04:31:08 - mmengine - INFO - Epoch(train) [8][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:20:00 time: 0.7969 data_time: 0.0316 memory: 10469 loss: 0.6373 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0280 loss_cls: 0.1645 acc: 90.2344 loss_bbox: 0.2106 loss_mask: 0.2147 +2024/01/16 04:31:47 - mmengine - INFO - Epoch(train) [8][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:19:19 time: 0.7885 data_time: 0.0327 memory: 9850 loss: 0.7485 loss_rpn_cls: 0.0333 loss_rpn_bbox: 0.0444 loss_cls: 0.1982 acc: 98.4375 loss_bbox: 0.2492 loss_mask: 0.2234 +2024/01/16 04:32:27 - mmengine - INFO - Epoch(train) [8][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:18:41 time: 0.7974 data_time: 0.0333 memory: 10294 loss: 0.7001 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0329 loss_cls: 0.1763 acc: 93.9453 loss_bbox: 0.2362 loss_mask: 0.2323 +2024/01/16 04:32:59 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 04:33:07 - mmengine - INFO - Epoch(train) [8][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:18:03 time: 0.8035 data_time: 0.0338 memory: 10067 loss: 0.6045 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0367 loss_cls: 0.1497 acc: 98.2422 loss_bbox: 0.1856 loss_mask: 0.2062 +2024/01/16 04:33:48 - mmengine - INFO - Epoch(train) [8][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:17:26 time: 0.8066 data_time: 0.0329 memory: 10568 loss: 0.6416 loss_rpn_cls: 0.0289 loss_rpn_bbox: 0.0299 loss_cls: 0.1688 acc: 99.8047 loss_bbox: 0.2045 loss_mask: 0.2096 +2024/01/16 04:34:27 - mmengine - INFO - Epoch(train) [8][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:16:46 time: 0.7897 data_time: 0.0352 memory: 10583 loss: 0.7261 loss_rpn_cls: 0.0319 loss_rpn_bbox: 0.0433 loss_cls: 0.1858 acc: 95.3125 loss_bbox: 0.2379 loss_mask: 0.2272 +2024/01/16 04:35:07 - mmengine - INFO - Epoch(train) [8][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:16:06 time: 0.7908 data_time: 0.0284 memory: 10583 loss: 0.5898 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0227 loss_cls: 0.1421 acc: 87.5000 loss_bbox: 0.2011 loss_mask: 0.2073 +2024/01/16 04:35:46 - mmengine - INFO - Epoch(train) [8][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:15:27 time: 0.7952 data_time: 0.0298 memory: 10568 loss: 0.5796 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0308 loss_cls: 0.1550 acc: 98.8281 loss_bbox: 0.1896 loss_mask: 0.1767 +2024/01/16 04:36:26 - mmengine - INFO - Epoch(train) [8][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:14:47 time: 0.7916 data_time: 0.0318 memory: 10572 loss: 0.6286 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0314 loss_cls: 0.1652 acc: 95.1172 loss_bbox: 0.2005 loss_mask: 0.2042 +2024/01/16 04:37:06 - mmengine - INFO - Epoch(train) [8][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:14:09 time: 0.7982 data_time: 0.0342 memory: 9459 loss: 0.6222 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0397 loss_cls: 0.1565 acc: 98.0469 loss_bbox: 0.2018 loss_mask: 0.1977 +2024/01/16 04:37:45 - mmengine - INFO - Epoch(train) [8][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:13:27 time: 0.7788 data_time: 0.0333 memory: 9601 loss: 0.7590 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0399 loss_cls: 0.2125 acc: 91.7969 loss_bbox: 0.2548 loss_mask: 0.2230 +2024/01/16 04:38:25 - mmengine - INFO - Epoch(train) [8][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:12:48 time: 0.7949 data_time: 0.0335 memory: 10459 loss: 0.7263 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0387 loss_cls: 0.2053 acc: 97.8516 loss_bbox: 0.2415 loss_mask: 0.2142 +2024/01/16 04:39:04 - mmengine - INFO - Epoch(train) [8][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:12:08 time: 0.7926 data_time: 0.0356 memory: 10665 loss: 0.6621 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0332 loss_cls: 0.1704 acc: 87.1094 loss_bbox: 0.2101 loss_mask: 0.2217 +2024/01/16 04:39:45 - mmengine - INFO - Epoch(train) [8][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:11:31 time: 0.8046 data_time: 0.0323 memory: 10572 loss: 0.6592 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0369 loss_cls: 0.1667 acc: 98.4375 loss_bbox: 0.2098 loss_mask: 0.2248 +2024/01/16 04:40:24 - mmengine - INFO - Epoch(train) [8][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:10:50 time: 0.7878 data_time: 0.0352 memory: 10582 loss: 0.6977 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0395 loss_cls: 0.1903 acc: 86.9141 loss_bbox: 0.2362 loss_mask: 0.2045 +2024/01/16 04:41:03 - mmengine - INFO - Epoch(train) [8][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:10:10 time: 0.7864 data_time: 0.0280 memory: 10508 loss: 0.5719 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0271 loss_cls: 0.1520 acc: 94.7266 loss_bbox: 0.1955 loss_mask: 0.1821 +2024/01/16 04:41:27 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 04:41:27 - mmengine - INFO - Saving checkpoint at 8 epochs +2024/01/16 04:41:42 - mmengine - INFO - Epoch(val) [8][ 50/313] eta: 0:00:58 time: 0.2209 data_time: 0.0589 memory: 10572 +2024/01/16 04:41:52 - mmengine - INFO - Epoch(val) [8][100/313] eta: 0:00:44 time: 0.1970 data_time: 0.0362 memory: 2388 +2024/01/16 04:42:01 - mmengine - INFO - Epoch(val) [8][150/313] eta: 0:00:32 time: 0.1851 data_time: 0.0274 memory: 2431 +2024/01/16 04:42:11 - mmengine - INFO - Epoch(val) [8][200/313] eta: 0:00:22 time: 0.1990 data_time: 0.0375 memory: 2403 +2024/01/16 04:42:21 - mmengine - INFO - Epoch(val) [8][250/313] eta: 0:00:12 time: 0.1885 data_time: 0.0326 memory: 2431 +2024/01/16 04:42:30 - mmengine - INFO - Epoch(val) [8][300/313] eta: 0:00:02 time: 0.1915 data_time: 0.0316 memory: 2403 +2024/01/16 04:42:39 - mmengine - INFO - Evaluating bbox... +2024/01/16 04:43:04 - mmengine - INFO - bbox_mAP_copypaste: 0.459 0.684 0.502 0.298 0.500 0.603 +2024/01/16 04:43:04 - mmengine - INFO - Evaluating segm... +2024/01/16 04:43:31 - mmengine - INFO - segm_mAP_copypaste: 0.414 0.652 0.445 0.228 0.451 0.607 +2024/01/16 04:43:31 - mmengine - INFO - Epoch(val) [8][313/313] coco/bbox_mAP: 0.4590 coco/bbox_mAP_50: 0.6840 coco/bbox_mAP_75: 0.5020 coco/bbox_mAP_s: 0.2980 coco/bbox_mAP_m: 0.5000 coco/bbox_mAP_l: 0.6030 coco/segm_mAP: 0.4140 coco/segm_mAP_50: 0.6520 coco/segm_mAP_75: 0.4450 coco/segm_mAP_s: 0.2280 coco/segm_mAP_m: 0.4510 coco/segm_mAP_l: 0.6070 data_time: 0.0362 time: 0.1955 +2024/01/16 04:44:11 - mmengine - INFO - Epoch(train) [9][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:09:10 time: 0.8021 data_time: 0.0490 memory: 9947 loss: 0.6638 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0351 loss_cls: 0.1811 acc: 92.9688 loss_bbox: 0.2210 loss_mask: 0.1982 +2024/01/16 04:44:50 - mmengine - INFO - Epoch(train) [9][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:08:28 time: 0.7830 data_time: 0.0278 memory: 9433 loss: 0.5994 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0294 loss_cls: 0.1653 acc: 88.6719 loss_bbox: 0.1904 loss_mask: 0.1926 +2024/01/16 04:45:30 - mmengine - INFO - Epoch(train) [9][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:07:49 time: 0.7919 data_time: 0.0324 memory: 10517 loss: 0.6430 loss_rpn_cls: 0.0372 loss_rpn_bbox: 0.0330 loss_cls: 0.1560 acc: 99.8047 loss_bbox: 0.2078 loss_mask: 0.2090 +2024/01/16 04:46:09 - mmengine - INFO - Epoch(train) [9][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:07:08 time: 0.7883 data_time: 0.0368 memory: 10126 loss: 0.7506 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0485 loss_cls: 0.2026 acc: 99.0234 loss_bbox: 0.2474 loss_mask: 0.2217 +2024/01/16 04:46:50 - mmengine - INFO - Epoch(train) [9][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:06:32 time: 0.8081 data_time: 0.0337 memory: 10074 loss: 0.5681 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0256 loss_cls: 0.1474 acc: 95.3125 loss_bbox: 0.1922 loss_mask: 0.1868 +2024/01/16 04:47:29 - mmengine - INFO - Epoch(train) [9][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:05:52 time: 0.7910 data_time: 0.0308 memory: 10198 loss: 0.7253 loss_rpn_cls: 0.0325 loss_rpn_bbox: 0.0297 loss_cls: 0.2054 acc: 99.0234 loss_bbox: 0.2393 loss_mask: 0.2183 +2024/01/16 04:48:10 - mmengine - INFO - Epoch(train) [9][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:05:14 time: 0.8025 data_time: 0.0318 memory: 9734 loss: 0.6931 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0347 loss_cls: 0.1666 acc: 86.3281 loss_bbox: 0.2443 loss_mask: 0.2235 +2024/01/16 04:48:18 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 04:48:49 - mmengine - INFO - Epoch(train) [9][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:04:34 time: 0.7893 data_time: 0.0353 memory: 9684 loss: 0.6286 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0408 loss_cls: 0.1596 acc: 98.0469 loss_bbox: 0.2048 loss_mask: 0.2013 +2024/01/16 04:49:29 - mmengine - INFO - Epoch(train) [9][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:03:54 time: 0.7918 data_time: 0.0338 memory: 9120 loss: 0.7160 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0459 loss_cls: 0.1880 acc: 100.0000 loss_bbox: 0.2306 loss_mask: 0.2206 +2024/01/16 04:50:09 - mmengine - INFO - Epoch(train) [9][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:03:16 time: 0.7979 data_time: 0.0307 memory: 9684 loss: 0.6852 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0312 loss_cls: 0.1796 acc: 87.6953 loss_bbox: 0.2214 loss_mask: 0.2267 +2024/01/16 04:50:48 - mmengine - INFO - Epoch(train) [9][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:02:35 time: 0.7842 data_time: 0.0331 memory: 10561 loss: 0.6769 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0397 loss_cls: 0.1706 acc: 83.9844 loss_bbox: 0.2229 loss_mask: 0.2195 +2024/01/16 04:51:28 - mmengine - INFO - Epoch(train) [9][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:01:56 time: 0.7989 data_time: 0.0343 memory: 10278 loss: 0.7012 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0374 loss_cls: 0.1941 acc: 87.6953 loss_bbox: 0.2311 loss_mask: 0.2092 +2024/01/16 04:52:08 - mmengine - INFO - Epoch(train) [9][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:01:17 time: 0.7970 data_time: 0.0281 memory: 9949 loss: 0.6212 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0263 loss_cls: 0.1650 acc: 84.1797 loss_bbox: 0.1982 loss_mask: 0.2093 +2024/01/16 04:52:47 - mmengine - INFO - Epoch(train) [9][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 21:00:38 time: 0.7934 data_time: 0.0306 memory: 10291 loss: 0.5798 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0333 loss_cls: 0.1536 acc: 95.1172 loss_bbox: 0.1968 loss_mask: 0.1748 +2024/01/16 04:53:26 - mmengine - INFO - Epoch(train) [9][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:59:57 time: 0.7825 data_time: 0.0300 memory: 10067 loss: 0.5881 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0287 loss_cls: 0.1543 acc: 88.4766 loss_bbox: 0.1982 loss_mask: 0.1852 +2024/01/16 04:54:07 - mmengine - INFO - Epoch(train) [9][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:59:19 time: 0.8042 data_time: 0.0297 memory: 10243 loss: 0.6614 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0322 loss_cls: 0.1745 acc: 90.4297 loss_bbox: 0.2165 loss_mask: 0.2164 +2024/01/16 04:54:46 - mmengine - INFO - Epoch(train) [9][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:58:38 time: 0.7836 data_time: 0.0362 memory: 10568 loss: 0.6441 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0381 loss_cls: 0.1646 acc: 89.6484 loss_bbox: 0.2017 loss_mask: 0.2152 +2024/01/16 04:55:25 - mmengine - INFO - Epoch(train) [9][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:57:58 time: 0.7906 data_time: 0.0290 memory: 10788 loss: 0.5392 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0276 loss_cls: 0.1400 acc: 98.6328 loss_bbox: 0.1634 loss_mask: 0.1856 +2024/01/16 04:56:05 - mmengine - INFO - Epoch(train) [9][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:57:18 time: 0.7922 data_time: 0.0372 memory: 11102 loss: 0.6877 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0394 loss_cls: 0.1782 acc: 84.5703 loss_bbox: 0.2298 loss_mask: 0.2182 +2024/01/16 04:56:44 - mmengine - INFO - Epoch(train) [9][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:56:38 time: 0.7898 data_time: 0.0295 memory: 10013 loss: 0.6330 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0291 loss_cls: 0.1612 acc: 99.4141 loss_bbox: 0.2143 loss_mask: 0.2113 +2024/01/16 04:57:24 - mmengine - INFO - Epoch(train) [9][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:56:00 time: 0.8001 data_time: 0.0329 memory: 9253 loss: 0.6474 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0333 loss_cls: 0.1681 acc: 84.7656 loss_bbox: 0.2152 loss_mask: 0.2018 +2024/01/16 04:58:05 - mmengine - INFO - Epoch(train) [9][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:55:22 time: 0.8011 data_time: 0.0326 memory: 11102 loss: 0.6358 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0347 loss_cls: 0.1713 acc: 83.5938 loss_bbox: 0.2021 loss_mask: 0.2010 +2024/01/16 04:58:45 - mmengine - INFO - Epoch(train) [9][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:54:44 time: 0.8033 data_time: 0.0352 memory: 10572 loss: 0.7416 loss_rpn_cls: 0.0344 loss_rpn_bbox: 0.0380 loss_cls: 0.2000 acc: 99.8047 loss_bbox: 0.2463 loss_mask: 0.2228 +2024/01/16 04:59:24 - mmengine - INFO - Epoch(train) [9][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:54:04 time: 0.7861 data_time: 0.0318 memory: 10067 loss: 0.7015 loss_rpn_cls: 0.0311 loss_rpn_bbox: 0.0428 loss_cls: 0.1766 acc: 96.4844 loss_bbox: 0.2363 loss_mask: 0.2147 +2024/01/16 05:00:03 - mmengine - INFO - Epoch(train) [9][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:53:21 time: 0.7768 data_time: 0.0365 memory: 10516 loss: 0.6100 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0354 loss_cls: 0.1564 acc: 99.6094 loss_bbox: 0.1958 loss_mask: 0.1997 +2024/01/16 05:00:43 - mmengine - INFO - Epoch(train) [9][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:52:42 time: 0.7938 data_time: 0.0345 memory: 10572 loss: 0.6603 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0299 loss_cls: 0.1747 acc: 93.5547 loss_bbox: 0.2301 loss_mask: 0.2061 +2024/01/16 05:01:23 - mmengine - INFO - Epoch(train) [9][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:52:05 time: 0.8049 data_time: 0.0367 memory: 10298 loss: 0.6465 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0375 loss_cls: 0.1788 acc: 95.3125 loss_bbox: 0.2127 loss_mask: 0.1982 +2024/01/16 05:01:31 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 05:02:02 - mmengine - INFO - Epoch(train) [9][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:51:24 time: 0.7858 data_time: 0.0343 memory: 10191 loss: 0.6061 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0359 loss_cls: 0.1527 acc: 99.6094 loss_bbox: 0.1968 loss_mask: 0.1939 +2024/01/16 05:02:42 - mmengine - INFO - Epoch(train) [9][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:50:44 time: 0.7903 data_time: 0.0338 memory: 9601 loss: 0.7292 loss_rpn_cls: 0.0327 loss_rpn_bbox: 0.0435 loss_cls: 0.1913 acc: 87.8906 loss_bbox: 0.2540 loss_mask: 0.2077 +2024/01/16 05:03:21 - mmengine - INFO - Epoch(train) [9][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:50:04 time: 0.7915 data_time: 0.0344 memory: 10252 loss: 0.6637 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0344 loss_cls: 0.1736 acc: 98.4375 loss_bbox: 0.2195 loss_mask: 0.2123 +2024/01/16 05:04:00 - mmengine - INFO - Epoch(train) [9][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:49:23 time: 0.7815 data_time: 0.0293 memory: 9737 loss: 0.6464 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0362 loss_cls: 0.1742 acc: 99.2188 loss_bbox: 0.2149 loss_mask: 0.2004 +2024/01/16 05:04:40 - mmengine - INFO - Epoch(train) [9][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:48:42 time: 0.7875 data_time: 0.0338 memory: 10363 loss: 0.6744 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0335 loss_cls: 0.1801 acc: 93.9453 loss_bbox: 0.2282 loss_mask: 0.2073 +2024/01/16 05:05:20 - mmengine - INFO - Epoch(train) [9][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:48:04 time: 0.7980 data_time: 0.0294 memory: 9737 loss: 0.6712 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0302 loss_cls: 0.1704 acc: 86.9141 loss_bbox: 0.2196 loss_mask: 0.2326 +2024/01/16 05:05:59 - mmengine - INFO - Epoch(train) [9][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:47:24 time: 0.7880 data_time: 0.0369 memory: 10715 loss: 0.6849 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0296 loss_cls: 0.1793 acc: 94.1406 loss_bbox: 0.2153 loss_mask: 0.2434 +2024/01/16 05:06:39 - mmengine - INFO - Epoch(train) [9][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:46:44 time: 0.7933 data_time: 0.0317 memory: 9684 loss: 0.6825 loss_rpn_cls: 0.0315 loss_rpn_bbox: 0.0337 loss_cls: 0.1838 acc: 93.1641 loss_bbox: 0.2266 loss_mask: 0.2069 +2024/01/16 05:07:18 - mmengine - INFO - Epoch(train) [9][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:46:04 time: 0.7911 data_time: 0.0253 memory: 10572 loss: 0.5917 loss_rpn_cls: 0.0289 loss_rpn_bbox: 0.0327 loss_cls: 0.1611 acc: 99.0234 loss_bbox: 0.1893 loss_mask: 0.1797 +2024/01/16 05:07:58 - mmengine - INFO - Epoch(train) [9][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:45:27 time: 0.8030 data_time: 0.0270 memory: 10067 loss: 0.5894 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0255 loss_cls: 0.1546 acc: 99.6094 loss_bbox: 0.2028 loss_mask: 0.1911 +2024/01/16 05:08:37 - mmengine - INFO - Epoch(train) [9][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:44:44 time: 0.7756 data_time: 0.0319 memory: 10067 loss: 0.7306 loss_rpn_cls: 0.0329 loss_rpn_bbox: 0.0434 loss_cls: 0.1907 acc: 81.6406 loss_bbox: 0.2439 loss_mask: 0.2196 +2024/01/16 05:09:17 - mmengine - INFO - Epoch(train) [9][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:44:04 time: 0.7914 data_time: 0.0322 memory: 10067 loss: 0.6747 loss_rpn_cls: 0.0301 loss_rpn_bbox: 0.0371 loss_cls: 0.1651 acc: 91.7969 loss_bbox: 0.2252 loss_mask: 0.2173 +2024/01/16 05:09:56 - mmengine - INFO - Epoch(train) [9][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:43:24 time: 0.7880 data_time: 0.0345 memory: 10239 loss: 0.6909 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0346 loss_cls: 0.1773 acc: 98.8281 loss_bbox: 0.2457 loss_mask: 0.2126 +2024/01/16 05:10:36 - mmengine - INFO - Epoch(train) [9][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:42:44 time: 0.7910 data_time: 0.0343 memory: 10572 loss: 0.7033 loss_rpn_cls: 0.0336 loss_rpn_bbox: 0.0400 loss_cls: 0.1863 acc: 95.3125 loss_bbox: 0.2321 loss_mask: 0.2112 +2024/01/16 05:11:15 - mmengine - INFO - Epoch(train) [9][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:42:04 time: 0.7859 data_time: 0.0366 memory: 10242 loss: 0.6702 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0288 loss_cls: 0.1712 acc: 92.5781 loss_bbox: 0.2342 loss_mask: 0.2186 +2024/01/16 05:11:54 - mmengine - INFO - Epoch(train) [9][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:41:22 time: 0.7826 data_time: 0.0321 memory: 9601 loss: 0.6195 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0320 loss_cls: 0.1686 acc: 92.3828 loss_bbox: 0.2063 loss_mask: 0.1904 +2024/01/16 05:12:35 - mmengine - INFO - Epoch(train) [9][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:40:45 time: 0.8060 data_time: 0.0356 memory: 9684 loss: 0.7729 loss_rpn_cls: 0.0375 loss_rpn_bbox: 0.0416 loss_cls: 0.2101 acc: 76.1719 loss_bbox: 0.2547 loss_mask: 0.2289 +2024/01/16 05:13:14 - mmengine - INFO - Epoch(train) [9][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:40:06 time: 0.7953 data_time: 0.0328 memory: 10572 loss: 0.6542 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0321 loss_cls: 0.1809 acc: 95.1172 loss_bbox: 0.2115 loss_mask: 0.2009 +2024/01/16 05:13:53 - mmengine - INFO - Epoch(train) [9][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:39:24 time: 0.7795 data_time: 0.0323 memory: 10660 loss: 0.6462 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0383 loss_cls: 0.1606 acc: 90.2344 loss_bbox: 0.2141 loss_mask: 0.2101 +2024/01/16 05:14:34 - mmengine - INFO - Epoch(train) [9][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:38:47 time: 0.8066 data_time: 0.0337 memory: 10074 loss: 0.6950 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0437 loss_cls: 0.1731 acc: 83.7891 loss_bbox: 0.2360 loss_mask: 0.2124 +2024/01/16 05:14:42 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 05:15:14 - mmengine - INFO - Epoch(train) [9][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:38:09 time: 0.8021 data_time: 0.0298 memory: 9676 loss: 0.6449 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0267 loss_cls: 0.1668 acc: 94.9219 loss_bbox: 0.2039 loss_mask: 0.2237 +2024/01/16 05:15:53 - mmengine - INFO - Epoch(train) [9][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:37:29 time: 0.7899 data_time: 0.0330 memory: 10426 loss: 0.7212 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0382 loss_cls: 0.1790 acc: 85.7422 loss_bbox: 0.2366 loss_mask: 0.2399 +2024/01/16 05:16:33 - mmengine - INFO - Epoch(train) [9][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:36:49 time: 0.7905 data_time: 0.0343 memory: 10572 loss: 0.6580 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0359 loss_cls: 0.1617 acc: 92.7734 loss_bbox: 0.2294 loss_mask: 0.2109 +2024/01/16 05:17:13 - mmengine - INFO - Epoch(train) [9][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:36:11 time: 0.7997 data_time: 0.0333 memory: 10572 loss: 0.7187 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0398 loss_cls: 0.1934 acc: 98.8281 loss_bbox: 0.2482 loss_mask: 0.2111 +2024/01/16 05:17:52 - mmengine - INFO - Epoch(train) [9][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:35:31 time: 0.7917 data_time: 0.0349 memory: 10572 loss: 0.5788 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0300 loss_cls: 0.1447 acc: 92.7734 loss_bbox: 0.1874 loss_mask: 0.1992 +2024/01/16 05:18:32 - mmengine - INFO - Epoch(train) [9][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:34:50 time: 0.7855 data_time: 0.0346 memory: 10278 loss: 0.6150 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0368 loss_cls: 0.1489 acc: 98.4375 loss_bbox: 0.2135 loss_mask: 0.1964 +2024/01/16 05:19:11 - mmengine - INFO - Epoch(train) [9][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:34:11 time: 0.7953 data_time: 0.0330 memory: 9949 loss: 0.5803 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0318 loss_cls: 0.1469 acc: 99.8047 loss_bbox: 0.1887 loss_mask: 0.1939 +2024/01/16 05:19:51 - mmengine - INFO - Epoch(train) [9][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:33:32 time: 0.7917 data_time: 0.0327 memory: 10374 loss: 0.6643 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0332 loss_cls: 0.1668 acc: 95.7031 loss_bbox: 0.2216 loss_mask: 0.2185 +2024/01/16 05:20:31 - mmengine - INFO - Epoch(train) [9][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:32:52 time: 0.7928 data_time: 0.0388 memory: 10067 loss: 0.7677 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0414 loss_cls: 0.2066 acc: 96.8750 loss_bbox: 0.2624 loss_mask: 0.2281 +2024/01/16 05:21:10 - mmengine - INFO - Epoch(train) [9][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:32:12 time: 0.7892 data_time: 0.0363 memory: 10568 loss: 0.7130 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0393 loss_cls: 0.1774 acc: 95.1172 loss_bbox: 0.2512 loss_mask: 0.2181 +2024/01/16 05:21:49 - mmengine - INFO - Epoch(train) [9][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:31:31 time: 0.7830 data_time: 0.0254 memory: 10067 loss: 0.5208 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0189 loss_cls: 0.1384 acc: 94.3359 loss_bbox: 0.1758 loss_mask: 0.1756 +2024/01/16 05:22:29 - mmengine - INFO - Epoch(train) [9][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:30:53 time: 0.8011 data_time: 0.0337 memory: 10120 loss: 0.5414 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0241 loss_cls: 0.1571 acc: 98.0469 loss_bbox: 0.1585 loss_mask: 0.1844 +2024/01/16 05:23:09 - mmengine - INFO - Epoch(train) [9][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:30:14 time: 0.7983 data_time: 0.0340 memory: 9601 loss: 0.6500 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0316 loss_cls: 0.1722 acc: 93.1641 loss_bbox: 0.2040 loss_mask: 0.2140 +2024/01/16 05:23:49 - mmengine - INFO - Epoch(train) [9][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:29:34 time: 0.7859 data_time: 0.0311 memory: 9736 loss: 0.8034 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0497 loss_cls: 0.2230 acc: 90.4297 loss_bbox: 0.2589 loss_mask: 0.2425 +2024/01/16 05:24:29 - mmengine - INFO - Epoch(train) [9][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:28:55 time: 0.7991 data_time: 0.0320 memory: 10572 loss: 0.6673 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0345 loss_cls: 0.1641 acc: 88.2812 loss_bbox: 0.2198 loss_mask: 0.2216 +2024/01/16 05:25:08 - mmengine - INFO - Epoch(train) [9][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:28:14 time: 0.7849 data_time: 0.0315 memory: 10572 loss: 0.7317 loss_rpn_cls: 0.0400 loss_rpn_bbox: 0.0420 loss_cls: 0.1898 acc: 95.7031 loss_bbox: 0.2311 loss_mask: 0.2289 +2024/01/16 05:25:47 - mmengine - INFO - Epoch(train) [9][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:27:34 time: 0.7901 data_time: 0.0329 memory: 10572 loss: 0.6751 loss_rpn_cls: 0.0312 loss_rpn_bbox: 0.0306 loss_cls: 0.1769 acc: 97.6562 loss_bbox: 0.2176 loss_mask: 0.2187 +2024/01/16 05:26:26 - mmengine - INFO - Epoch(train) [9][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:26:53 time: 0.7823 data_time: 0.0348 memory: 10067 loss: 0.6023 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0277 loss_cls: 0.1614 acc: 86.3281 loss_bbox: 0.1899 loss_mask: 0.2012 +2024/01/16 05:27:06 - mmengine - INFO - Epoch(train) [9][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:26:12 time: 0.7818 data_time: 0.0276 memory: 10582 loss: 0.5474 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0259 loss_cls: 0.1437 acc: 98.8281 loss_bbox: 0.1835 loss_mask: 0.1776 +2024/01/16 05:27:46 - mmengine - INFO - Epoch(train) [9][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:25:34 time: 0.8047 data_time: 0.0333 memory: 10180 loss: 0.7008 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0401 loss_cls: 0.1800 acc: 81.6406 loss_bbox: 0.2344 loss_mask: 0.2210 +2024/01/16 05:27:54 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 05:28:26 - mmengine - INFO - Epoch(train) [9][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:24:55 time: 0.7952 data_time: 0.0370 memory: 10314 loss: 0.7212 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0382 loss_cls: 0.1982 acc: 94.7266 loss_bbox: 0.2494 loss_mask: 0.2146 +2024/01/16 05:29:05 - mmengine - INFO - Epoch(train) [9][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:24:14 time: 0.7858 data_time: 0.0367 memory: 9459 loss: 0.7621 loss_rpn_cls: 0.0320 loss_rpn_bbox: 0.0421 loss_cls: 0.2107 acc: 99.4141 loss_bbox: 0.2554 loss_mask: 0.2219 +2024/01/16 05:29:44 - mmengine - INFO - Epoch(train) [9][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:23:34 time: 0.7890 data_time: 0.0330 memory: 10572 loss: 0.7277 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0326 loss_cls: 0.1917 acc: 99.2188 loss_bbox: 0.2435 loss_mask: 0.2352 +2024/01/16 05:30:24 - mmengine - INFO - Epoch(train) [9][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:22:54 time: 0.7854 data_time: 0.0363 memory: 9120 loss: 0.7036 loss_rpn_cls: 0.0250 loss_rpn_bbox: 0.0397 loss_cls: 0.1946 acc: 92.5781 loss_bbox: 0.2253 loss_mask: 0.2190 +2024/01/16 05:31:03 - mmengine - INFO - Epoch(train) [9][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:22:13 time: 0.7852 data_time: 0.0297 memory: 9555 loss: 0.6009 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0289 loss_cls: 0.1587 acc: 97.0703 loss_bbox: 0.1903 loss_mask: 0.2019 +2024/01/16 05:31:43 - mmengine - INFO - Epoch(train) [9][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:21:34 time: 0.7992 data_time: 0.0289 memory: 9970 loss: 0.5501 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0288 loss_cls: 0.1417 acc: 97.6562 loss_bbox: 0.1817 loss_mask: 0.1773 +2024/01/16 05:32:23 - mmengine - INFO - Epoch(train) [9][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:20:58 time: 0.8104 data_time: 0.0358 memory: 10479 loss: 0.7654 loss_rpn_cls: 0.0307 loss_rpn_bbox: 0.0434 loss_cls: 0.2111 acc: 98.8281 loss_bbox: 0.2459 loss_mask: 0.2343 +2024/01/16 05:33:02 - mmengine - INFO - Epoch(train) [9][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:20:16 time: 0.7783 data_time: 0.0366 memory: 10067 loss: 0.6508 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0343 loss_cls: 0.1726 acc: 94.5312 loss_bbox: 0.2011 loss_mask: 0.2157 +2024/01/16 05:33:42 - mmengine - INFO - Epoch(train) [9][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:19:36 time: 0.7927 data_time: 0.0358 memory: 10572 loss: 0.6908 loss_rpn_cls: 0.0386 loss_rpn_bbox: 0.0351 loss_cls: 0.1801 acc: 98.0469 loss_bbox: 0.2314 loss_mask: 0.2056 +2024/01/16 05:34:21 - mmengine - INFO - Epoch(train) [9][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:18:56 time: 0.7864 data_time: 0.0337 memory: 10572 loss: 0.6529 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0314 loss_cls: 0.1765 acc: 82.8125 loss_bbox: 0.2257 loss_mask: 0.1981 +2024/01/16 05:35:01 - mmengine - INFO - Epoch(train) [9][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:18:17 time: 0.7950 data_time: 0.0382 memory: 10572 loss: 0.6441 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0342 loss_cls: 0.1753 acc: 93.9453 loss_bbox: 0.2095 loss_mask: 0.2000 +2024/01/16 05:35:41 - mmengine - INFO - Epoch(train) [9][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:17:39 time: 0.8024 data_time: 0.0337 memory: 10127 loss: 0.5955 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0326 loss_cls: 0.1413 acc: 97.0703 loss_bbox: 0.1919 loss_mask: 0.2098 +2024/01/16 05:36:21 - mmengine - INFO - Epoch(train) [9][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:17:00 time: 0.7984 data_time: 0.0367 memory: 11005 loss: 0.7379 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0461 loss_cls: 0.1946 acc: 87.1094 loss_bbox: 0.2447 loss_mask: 0.2225 +2024/01/16 05:37:01 - mmengine - INFO - Epoch(train) [9][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:16:22 time: 0.8039 data_time: 0.0344 memory: 9737 loss: 0.6842 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0388 loss_cls: 0.1657 acc: 86.5234 loss_bbox: 0.2306 loss_mask: 0.2221 +2024/01/16 05:37:41 - mmengine - INFO - Epoch(train) [9][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:15:43 time: 0.7927 data_time: 0.0279 memory: 10508 loss: 0.5763 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0294 loss_cls: 0.1474 acc: 96.4844 loss_bbox: 0.1820 loss_mask: 0.1928 +2024/01/16 05:38:21 - mmengine - INFO - Epoch(train) [9][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:15:03 time: 0.7917 data_time: 0.0363 memory: 10299 loss: 0.7595 loss_rpn_cls: 0.0310 loss_rpn_bbox: 0.0417 loss_cls: 0.2080 acc: 84.1797 loss_bbox: 0.2572 loss_mask: 0.2216 +2024/01/16 05:39:00 - mmengine - INFO - Epoch(train) [9][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:14:25 time: 0.7989 data_time: 0.0332 memory: 10572 loss: 0.6491 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0310 loss_cls: 0.1780 acc: 96.8750 loss_bbox: 0.2164 loss_mask: 0.2030 +2024/01/16 05:39:40 - mmengine - INFO - Epoch(train) [9][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:13:44 time: 0.7873 data_time: 0.0292 memory: 10715 loss: 0.6375 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0314 loss_cls: 0.1712 acc: 78.7109 loss_bbox: 0.2023 loss_mask: 0.2059 +2024/01/16 05:40:19 - mmengine - INFO - Epoch(train) [9][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:13:03 time: 0.7850 data_time: 0.0303 memory: 10265 loss: 0.6718 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0361 loss_cls: 0.1585 acc: 95.7031 loss_bbox: 0.2152 loss_mask: 0.2339 +2024/01/16 05:40:59 - mmengine - INFO - Epoch(train) [9][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:12:24 time: 0.7904 data_time: 0.0316 memory: 9508 loss: 0.6569 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0366 loss_cls: 0.1758 acc: 98.4375 loss_bbox: 0.2107 loss_mask: 0.2077 +2024/01/16 05:41:07 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 05:41:38 - mmengine - INFO - Epoch(train) [9][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:11:44 time: 0.7955 data_time: 0.0343 memory: 10572 loss: 0.6097 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0356 loss_cls: 0.1536 acc: 98.8281 loss_bbox: 0.1970 loss_mask: 0.1990 +2024/01/16 05:42:18 - mmengine - INFO - Epoch(train) [9][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:11:05 time: 0.7962 data_time: 0.0311 memory: 9570 loss: 0.6249 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0279 loss_cls: 0.1677 acc: 93.7500 loss_bbox: 0.2027 loss_mask: 0.2034 +2024/01/16 05:42:58 - mmengine - INFO - Epoch(train) [9][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:10:27 time: 0.7988 data_time: 0.0363 memory: 10572 loss: 0.7254 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0370 loss_cls: 0.2023 acc: 99.6094 loss_bbox: 0.2495 loss_mask: 0.2099 +2024/01/16 05:43:38 - mmengine - INFO - Epoch(train) [9][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:09:47 time: 0.7914 data_time: 0.0360 memory: 10568 loss: 0.7043 loss_rpn_cls: 0.0343 loss_rpn_bbox: 0.0397 loss_cls: 0.1855 acc: 86.7188 loss_bbox: 0.2210 loss_mask: 0.2238 +2024/01/16 05:44:18 - mmengine - INFO - Epoch(train) [9][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:09:09 time: 0.8014 data_time: 0.0298 memory: 10067 loss: 0.6479 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0355 loss_cls: 0.1676 acc: 95.1172 loss_bbox: 0.2077 loss_mask: 0.2145 +2024/01/16 05:44:58 - mmengine - INFO - Epoch(train) [9][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:08:30 time: 0.7976 data_time: 0.0324 memory: 10990 loss: 0.7484 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0420 loss_cls: 0.2025 acc: 96.8750 loss_bbox: 0.2414 loss_mask: 0.2398 +2024/01/16 05:45:37 - mmengine - INFO - Epoch(train) [9][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:07:50 time: 0.7875 data_time: 0.0367 memory: 9601 loss: 0.7305 loss_rpn_cls: 0.0305 loss_rpn_bbox: 0.0380 loss_cls: 0.1988 acc: 98.0469 loss_bbox: 0.2410 loss_mask: 0.2222 +2024/01/16 05:46:17 - mmengine - INFO - Epoch(train) [9][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:07:12 time: 0.8045 data_time: 0.0339 memory: 10360 loss: 0.6697 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0357 loss_cls: 0.1717 acc: 87.5000 loss_bbox: 0.2232 loss_mask: 0.2149 +2024/01/16 05:46:57 - mmengine - INFO - Epoch(train) [9][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:06:32 time: 0.7898 data_time: 0.0362 memory: 10572 loss: 0.6181 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0291 loss_cls: 0.1636 acc: 87.6953 loss_bbox: 0.2000 loss_mask: 0.2057 +2024/01/16 05:47:37 - mmengine - INFO - Epoch(train) [9][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:05:53 time: 0.7958 data_time: 0.0271 memory: 9949 loss: 0.5915 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0255 loss_cls: 0.1642 acc: 96.2891 loss_bbox: 0.1856 loss_mask: 0.1970 +2024/01/16 05:48:16 - mmengine - INFO - Epoch(train) [9][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:05:14 time: 0.7947 data_time: 0.0343 memory: 10393 loss: 0.7162 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0387 loss_cls: 0.1957 acc: 89.6484 loss_bbox: 0.2446 loss_mask: 0.2147 +2024/01/16 05:48:56 - mmengine - INFO - Epoch(train) [9][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:04:33 time: 0.7854 data_time: 0.0329 memory: 10297 loss: 0.6170 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0346 loss_cls: 0.1528 acc: 98.4375 loss_bbox: 0.2034 loss_mask: 0.2014 +2024/01/16 05:49:35 - mmengine - INFO - Epoch(train) [9][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:03:53 time: 0.7893 data_time: 0.0308 memory: 10649 loss: 0.6712 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0308 loss_cls: 0.1832 acc: 87.5000 loss_bbox: 0.2195 loss_mask: 0.2153 +2024/01/16 05:50:15 - mmengine - INFO - Epoch(train) [9][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:03:13 time: 0.7893 data_time: 0.0305 memory: 9307 loss: 0.6521 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0315 loss_cls: 0.1694 acc: 96.4844 loss_bbox: 0.1981 loss_mask: 0.2245 +2024/01/16 05:50:54 - mmengine - INFO - Epoch(train) [9][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:02:33 time: 0.7906 data_time: 0.0290 memory: 10153 loss: 0.5875 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0351 loss_cls: 0.1442 acc: 96.8750 loss_bbox: 0.1971 loss_mask: 0.1899 +2024/01/16 05:51:34 - mmengine - INFO - Epoch(train) [9][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:01:54 time: 0.7947 data_time: 0.0288 memory: 10295 loss: 0.5790 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0313 loss_cls: 0.1555 acc: 96.6797 loss_bbox: 0.1867 loss_mask: 0.1870 +2024/01/16 05:52:13 - mmengine - INFO - Epoch(train) [9][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:01:14 time: 0.7867 data_time: 0.0357 memory: 9800 loss: 0.7020 loss_rpn_cls: 0.0306 loss_rpn_bbox: 0.0333 loss_cls: 0.1982 acc: 96.4844 loss_bbox: 0.2275 loss_mask: 0.2124 +2024/01/16 05:52:53 - mmengine - INFO - Epoch(train) [9][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 20:00:34 time: 0.7931 data_time: 0.0360 memory: 10583 loss: 0.7134 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0395 loss_cls: 0.1928 acc: 99.2188 loss_bbox: 0.2409 loss_mask: 0.2130 +2024/01/16 05:53:33 - mmengine - INFO - Epoch(train) [9][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:59:55 time: 0.7943 data_time: 0.0331 memory: 9488 loss: 0.6144 loss_rpn_cls: 0.0323 loss_rpn_bbox: 0.0294 loss_cls: 0.1535 acc: 96.6797 loss_bbox: 0.1926 loss_mask: 0.2067 +2024/01/16 05:54:13 - mmengine - INFO - Epoch(train) [9][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:59:18 time: 0.8092 data_time: 0.0352 memory: 10572 loss: 0.7280 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0395 loss_cls: 0.1961 acc: 94.1406 loss_bbox: 0.2465 loss_mask: 0.2219 +2024/01/16 05:54:21 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 05:54:52 - mmengine - INFO - Epoch(train) [9][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:58:36 time: 0.7794 data_time: 0.0311 memory: 9949 loss: 0.6237 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0360 loss_cls: 0.1579 acc: 97.0703 loss_bbox: 0.2069 loss_mask: 0.1969 +2024/01/16 05:55:32 - mmengine - INFO - Epoch(train) [9][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:57:56 time: 0.7898 data_time: 0.0308 memory: 10605 loss: 0.6968 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0352 loss_cls: 0.1866 acc: 96.2891 loss_bbox: 0.2343 loss_mask: 0.2151 +2024/01/16 05:56:11 - mmengine - INFO - Epoch(train) [9][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:57:15 time: 0.7841 data_time: 0.0310 memory: 10370 loss: 0.5806 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0351 loss_cls: 0.1410 acc: 99.4141 loss_bbox: 0.1954 loss_mask: 0.1844 +2024/01/16 05:56:51 - mmengine - INFO - Epoch(train) [9][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:56:37 time: 0.7988 data_time: 0.0403 memory: 10572 loss: 0.7680 loss_rpn_cls: 0.0329 loss_rpn_bbox: 0.0412 loss_cls: 0.2045 acc: 96.2891 loss_bbox: 0.2553 loss_mask: 0.2341 +2024/01/16 05:57:29 - mmengine - INFO - Epoch(train) [9][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:55:54 time: 0.7730 data_time: 0.0311 memory: 10604 loss: 0.6062 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0320 loss_cls: 0.1563 acc: 96.6797 loss_bbox: 0.1951 loss_mask: 0.1988 +2024/01/16 05:58:09 - mmengine - INFO - Epoch(train) [9][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:55:15 time: 0.7922 data_time: 0.0361 memory: 10248 loss: 0.6952 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0339 loss_cls: 0.1865 acc: 98.6328 loss_bbox: 0.2322 loss_mask: 0.2156 +2024/01/16 05:58:48 - mmengine - INFO - Epoch(train) [9][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:54:33 time: 0.7766 data_time: 0.0314 memory: 10572 loss: 0.7171 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0379 loss_cls: 0.1962 acc: 87.8906 loss_bbox: 0.2424 loss_mask: 0.2174 +2024/01/16 05:59:28 - mmengine - INFO - Epoch(train) [9][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:53:56 time: 0.8086 data_time: 0.0308 memory: 10067 loss: 0.6372 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0323 loss_cls: 0.1609 acc: 98.0469 loss_bbox: 0.2163 loss_mask: 0.2138 +2024/01/16 06:00:08 - mmengine - INFO - Epoch(train) [9][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:53:16 time: 0.7953 data_time: 0.0279 memory: 10067 loss: 0.5491 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0184 loss_cls: 0.1435 acc: 99.0234 loss_bbox: 0.1734 loss_mask: 0.1997 +2024/01/16 06:00:47 - mmengine - INFO - Epoch(train) [9][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:52:35 time: 0.7835 data_time: 0.0311 memory: 10568 loss: 0.5320 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0214 loss_cls: 0.1417 acc: 86.3281 loss_bbox: 0.1694 loss_mask: 0.1839 +2024/01/16 06:01:27 - mmengine - INFO - Epoch(train) [9][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:51:56 time: 0.7902 data_time: 0.0294 memory: 10443 loss: 0.6260 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0325 loss_cls: 0.1567 acc: 91.2109 loss_bbox: 0.1873 loss_mask: 0.2310 +2024/01/16 06:02:07 - mmengine - INFO - Epoch(train) [9][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:51:17 time: 0.7986 data_time: 0.0333 memory: 10503 loss: 0.6653 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0369 loss_cls: 0.1689 acc: 97.4609 loss_bbox: 0.2207 loss_mask: 0.2146 +2024/01/16 06:02:47 - mmengine - INFO - Epoch(train) [9][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:50:38 time: 0.7966 data_time: 0.0307 memory: 10067 loss: 0.6352 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0268 loss_cls: 0.1597 acc: 98.4375 loss_bbox: 0.2114 loss_mask: 0.2049 +2024/01/16 06:03:25 - mmengine - INFO - Epoch(train) [9][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:49:56 time: 0.7780 data_time: 0.0319 memory: 8963 loss: 0.6371 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0316 loss_cls: 0.1634 acc: 100.0000 loss_bbox: 0.2150 loss_mask: 0.2050 +2024/01/16 06:04:05 - mmengine - INFO - Epoch(train) [9][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:49:16 time: 0.7894 data_time: 0.0303 memory: 10075 loss: 0.7606 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0366 loss_cls: 0.2239 acc: 97.0703 loss_bbox: 0.2426 loss_mask: 0.2293 +2024/01/16 06:04:45 - mmengine - INFO - Epoch(train) [9][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:48:37 time: 0.7980 data_time: 0.0293 memory: 10568 loss: 0.5266 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0273 loss_cls: 0.1391 acc: 98.8281 loss_bbox: 0.1659 loss_mask: 0.1754 +2024/01/16 06:05:25 - mmengine - INFO - Epoch(train) [9][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:48:00 time: 0.8067 data_time: 0.0411 memory: 10179 loss: 0.7839 loss_rpn_cls: 0.0358 loss_rpn_bbox: 0.0438 loss_cls: 0.2203 acc: 96.4844 loss_bbox: 0.2510 loss_mask: 0.2330 +2024/01/16 06:06:05 - mmengine - INFO - Epoch(train) [9][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:47:20 time: 0.7918 data_time: 0.0335 memory: 10572 loss: 0.6526 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0364 loss_cls: 0.1668 acc: 95.3125 loss_bbox: 0.2156 loss_mask: 0.2120 +2024/01/16 06:06:45 - mmengine - INFO - Epoch(train) [9][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:46:42 time: 0.8017 data_time: 0.0332 memory: 10572 loss: 0.6327 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0361 loss_cls: 0.1669 acc: 99.0234 loss_bbox: 0.2145 loss_mask: 0.1926 +2024/01/16 06:07:25 - mmengine - INFO - Epoch(train) [9][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:46:03 time: 0.7922 data_time: 0.0328 memory: 9884 loss: 0.7115 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0381 loss_cls: 0.1916 acc: 95.1172 loss_bbox: 0.2285 loss_mask: 0.2314 +2024/01/16 06:07:33 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 06:08:04 - mmengine - INFO - Epoch(train) [9][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:45:24 time: 0.7969 data_time: 0.0263 memory: 10660 loss: 0.5532 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0247 loss_cls: 0.1408 acc: 98.0469 loss_bbox: 0.1851 loss_mask: 0.1867 +2024/01/16 06:08:44 - mmengine - INFO - Epoch(train) [9][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:44:44 time: 0.7932 data_time: 0.0282 memory: 10124 loss: 0.6697 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0285 loss_cls: 0.1790 acc: 90.4297 loss_bbox: 0.2232 loss_mask: 0.2182 +2024/01/16 06:09:24 - mmengine - INFO - Epoch(train) [9][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:44:05 time: 0.7934 data_time: 0.0331 memory: 10528 loss: 0.6551 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0294 loss_cls: 0.1734 acc: 95.3125 loss_bbox: 0.2234 loss_mask: 0.2045 +2024/01/16 06:10:03 - mmengine - INFO - Epoch(train) [9][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:43:25 time: 0.7895 data_time: 0.0339 memory: 10572 loss: 0.7296 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0396 loss_cls: 0.1908 acc: 77.5391 loss_bbox: 0.2498 loss_mask: 0.2231 +2024/01/16 06:10:42 - mmengine - INFO - Epoch(train) [9][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:42:43 time: 0.7809 data_time: 0.0346 memory: 10404 loss: 0.5839 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0287 loss_cls: 0.1369 acc: 99.8047 loss_bbox: 0.1916 loss_mask: 0.2063 +2024/01/16 06:11:21 - mmengine - INFO - Epoch(train) [9][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:42:02 time: 0.7785 data_time: 0.0363 memory: 10414 loss: 0.7432 loss_rpn_cls: 0.0395 loss_rpn_bbox: 0.0412 loss_cls: 0.1984 acc: 89.0625 loss_bbox: 0.2454 loss_mask: 0.2188 +2024/01/16 06:12:01 - mmengine - INFO - Epoch(train) [9][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:41:23 time: 0.7971 data_time: 0.0387 memory: 10592 loss: 0.8251 loss_rpn_cls: 0.0449 loss_rpn_bbox: 0.0469 loss_cls: 0.2364 acc: 99.0234 loss_bbox: 0.2760 loss_mask: 0.2207 +2024/01/16 06:12:41 - mmengine - INFO - Epoch(train) [9][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:40:44 time: 0.7986 data_time: 0.0374 memory: 11221 loss: 0.6701 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0344 loss_cls: 0.1846 acc: 86.5234 loss_bbox: 0.2225 loss_mask: 0.2048 +2024/01/16 06:13:21 - mmengine - INFO - Epoch(train) [9][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:40:05 time: 0.7927 data_time: 0.0330 memory: 10067 loss: 0.6824 loss_rpn_cls: 0.0292 loss_rpn_bbox: 0.0342 loss_cls: 0.1801 acc: 98.2422 loss_bbox: 0.2204 loss_mask: 0.2186 +2024/01/16 06:14:00 - mmengine - INFO - Epoch(train) [9][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:39:25 time: 0.7889 data_time: 0.0350 memory: 9819 loss: 0.8136 loss_rpn_cls: 0.0386 loss_rpn_bbox: 0.0428 loss_cls: 0.2298 acc: 85.5469 loss_bbox: 0.2761 loss_mask: 0.2263 +2024/01/16 06:14:40 - mmengine - INFO - Epoch(train) [9][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:38:46 time: 0.7955 data_time: 0.0360 memory: 10408 loss: 0.7189 loss_rpn_cls: 0.0353 loss_rpn_bbox: 0.0413 loss_cls: 0.1841 acc: 92.3828 loss_bbox: 0.2276 loss_mask: 0.2305 +2024/01/16 06:15:20 - mmengine - INFO - Epoch(train) [9][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:38:07 time: 0.7971 data_time: 0.0348 memory: 9253 loss: 0.7474 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0412 loss_cls: 0.1903 acc: 91.2109 loss_bbox: 0.2471 loss_mask: 0.2431 +2024/01/16 06:16:00 - mmengine - INFO - Epoch(train) [9][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:37:28 time: 0.7999 data_time: 0.0354 memory: 11013 loss: 0.6151 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0300 loss_cls: 0.1574 acc: 91.0156 loss_bbox: 0.1974 loss_mask: 0.2098 +2024/01/16 06:16:40 - mmengine - INFO - Epoch(train) [9][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:36:49 time: 0.7979 data_time: 0.0312 memory: 10067 loss: 0.6054 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0281 loss_cls: 0.1631 acc: 95.3125 loss_bbox: 0.2003 loss_mask: 0.1966 +2024/01/16 06:17:19 - mmengine - INFO - Epoch(train) [9][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:36:10 time: 0.7919 data_time: 0.0334 memory: 10278 loss: 0.6535 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0308 loss_cls: 0.1657 acc: 96.0938 loss_bbox: 0.2174 loss_mask: 0.2101 +2024/01/16 06:17:59 - mmengine - INFO - Epoch(train) [9][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:35:30 time: 0.7898 data_time: 0.0340 memory: 9958 loss: 0.7978 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0351 loss_cls: 0.2121 acc: 90.2344 loss_bbox: 0.2652 loss_mask: 0.2615 +2024/01/16 06:18:38 - mmengine - INFO - Epoch(train) [9][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:34:49 time: 0.7844 data_time: 0.0347 memory: 10304 loss: 0.6183 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0290 loss_cls: 0.1635 acc: 94.7266 loss_bbox: 0.2085 loss_mask: 0.1951 +2024/01/16 06:19:18 - mmengine - INFO - Epoch(train) [9][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:34:09 time: 0.7923 data_time: 0.0266 memory: 10247 loss: 0.5227 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0234 loss_cls: 0.1267 acc: 87.6953 loss_bbox: 0.1666 loss_mask: 0.1844 +2024/01/16 06:19:57 - mmengine - INFO - Epoch(train) [9][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:33:28 time: 0.7773 data_time: 0.0334 memory: 9600 loss: 0.7033 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0389 loss_cls: 0.1968 acc: 99.8047 loss_bbox: 0.2125 loss_mask: 0.2295 +2024/01/16 06:20:20 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 06:20:20 - mmengine - INFO - Saving checkpoint at 9 epochs +2024/01/16 06:20:34 - mmengine - INFO - Epoch(val) [9][ 50/313] eta: 0:00:57 time: 0.2175 data_time: 0.0551 memory: 10292 +2024/01/16 06:20:44 - mmengine - INFO - Epoch(val) [9][100/313] eta: 0:00:44 time: 0.1965 data_time: 0.0344 memory: 2388 +2024/01/16 06:20:54 - mmengine - INFO - Epoch(val) [9][150/313] eta: 0:00:33 time: 0.1952 data_time: 0.0366 memory: 2431 +2024/01/16 06:21:05 - mmengine - INFO - Epoch(val) [9][200/313] eta: 0:00:23 time: 0.2171 data_time: 0.0533 memory: 2403 +2024/01/16 06:21:14 - mmengine - INFO - Epoch(val) [9][250/313] eta: 0:00:12 time: 0.1819 data_time: 0.0243 memory: 2431 +2024/01/16 06:21:25 - mmengine - INFO - Epoch(val) [9][300/313] eta: 0:00:02 time: 0.2108 data_time: 0.0491 memory: 2403 +2024/01/16 06:21:34 - mmengine - INFO - Evaluating bbox... +2024/01/16 06:22:00 - mmengine - INFO - bbox_mAP_copypaste: 0.461 0.687 0.502 0.294 0.503 0.609 +2024/01/16 06:22:00 - mmengine - INFO - Evaluating segm... +2024/01/16 06:22:29 - mmengine - INFO - segm_mAP_copypaste: 0.414 0.651 0.445 0.220 0.447 0.604 +2024/01/16 06:22:30 - mmengine - INFO - Epoch(val) [9][313/313] coco/bbox_mAP: 0.4610 coco/bbox_mAP_50: 0.6870 coco/bbox_mAP_75: 0.5020 coco/bbox_mAP_s: 0.2940 coco/bbox_mAP_m: 0.5030 coco/bbox_mAP_l: 0.6090 coco/segm_mAP: 0.4140 coco/segm_mAP_50: 0.6510 coco/segm_mAP_75: 0.4450 coco/segm_mAP_s: 0.2200 coco/segm_mAP_m: 0.4470 coco/segm_mAP_l: 0.6040 data_time: 0.0405 time: 0.2011 +2024/01/16 06:22:54 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 06:23:11 - mmengine - INFO - Epoch(train) [10][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:32:26 time: 0.8137 data_time: 0.0449 memory: 10211 loss: 0.6743 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0378 loss_cls: 0.1611 acc: 99.8047 loss_bbox: 0.2290 loss_mask: 0.2159 +2024/01/16 06:23:50 - mmengine - INFO - Epoch(train) [10][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:31:46 time: 0.7903 data_time: 0.0353 memory: 10516 loss: 0.5925 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0303 loss_cls: 0.1509 acc: 97.8516 loss_bbox: 0.1997 loss_mask: 0.1895 +2024/01/16 06:24:30 - mmengine - INFO - Epoch(train) [10][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:31:07 time: 0.7973 data_time: 0.0370 memory: 9684 loss: 0.6670 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0403 loss_cls: 0.1650 acc: 88.0859 loss_bbox: 0.2341 loss_mask: 0.2020 +2024/01/16 06:25:10 - mmengine - INFO - Epoch(train) [10][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:30:29 time: 0.7976 data_time: 0.0330 memory: 10389 loss: 0.6667 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0339 loss_cls: 0.1640 acc: 94.3359 loss_bbox: 0.2179 loss_mask: 0.2246 +2024/01/16 06:25:49 - mmengine - INFO - Epoch(train) [10][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:29:48 time: 0.7869 data_time: 0.0309 memory: 10512 loss: 0.5941 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0334 loss_cls: 0.1563 acc: 99.2188 loss_bbox: 0.1915 loss_mask: 0.1900 +2024/01/16 06:26:29 - mmengine - INFO - Epoch(train) [10][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:29:10 time: 0.8007 data_time: 0.0309 memory: 10120 loss: 0.5461 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0297 loss_cls: 0.1227 acc: 100.0000 loss_bbox: 0.1777 loss_mask: 0.1955 +2024/01/16 06:27:09 - mmengine - INFO - Epoch(train) [10][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:28:31 time: 0.7957 data_time: 0.0303 memory: 10067 loss: 0.6719 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0407 loss_cls: 0.1698 acc: 100.0000 loss_bbox: 0.2387 loss_mask: 0.1964 +2024/01/16 06:27:49 - mmengine - INFO - Epoch(train) [10][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:27:52 time: 0.7954 data_time: 0.0326 memory: 10414 loss: 0.6475 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0297 loss_cls: 0.1644 acc: 99.0234 loss_bbox: 0.1980 loss_mask: 0.2286 +2024/01/16 06:28:29 - mmengine - INFO - Epoch(train) [10][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:27:13 time: 0.7971 data_time: 0.0320 memory: 10572 loss: 0.5514 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0307 loss_cls: 0.1351 acc: 90.2344 loss_bbox: 0.1857 loss_mask: 0.1756 +2024/01/16 06:29:09 - mmengine - INFO - Epoch(train) [10][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:26:36 time: 0.8100 data_time: 0.0369 memory: 11099 loss: 0.6596 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0360 loss_cls: 0.1977 acc: 98.4375 loss_bbox: 0.2114 loss_mask: 0.1836 +2024/01/16 06:29:49 - mmengine - INFO - Epoch(train) [10][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:25:55 time: 0.7869 data_time: 0.0309 memory: 10294 loss: 0.6786 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0331 loss_cls: 0.1857 acc: 98.2422 loss_bbox: 0.2270 loss_mask: 0.2071 +2024/01/16 06:30:28 - mmengine - INFO - Epoch(train) [10][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:25:17 time: 0.7976 data_time: 0.0325 memory: 10299 loss: 0.5858 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0268 loss_cls: 0.1389 acc: 99.2188 loss_bbox: 0.1964 loss_mask: 0.2084 +2024/01/16 06:31:07 - mmengine - INFO - Epoch(train) [10][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:24:35 time: 0.7776 data_time: 0.0320 memory: 10572 loss: 0.6170 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0298 loss_cls: 0.1677 acc: 95.5078 loss_bbox: 0.2032 loss_mask: 0.1948 +2024/01/16 06:31:47 - mmengine - INFO - Epoch(train) [10][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:23:56 time: 0.7952 data_time: 0.0291 memory: 10290 loss: 0.6180 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0343 loss_cls: 0.1686 acc: 92.9688 loss_bbox: 0.1996 loss_mask: 0.1917 +2024/01/16 06:32:27 - mmengine - INFO - Epoch(train) [10][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:23:18 time: 0.8038 data_time: 0.0298 memory: 10572 loss: 0.6634 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0345 loss_cls: 0.1667 acc: 95.5078 loss_bbox: 0.2167 loss_mask: 0.2175 +2024/01/16 06:33:07 - mmengine - INFO - Epoch(train) [10][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:22:39 time: 0.7985 data_time: 0.0319 memory: 10582 loss: 0.7081 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0369 loss_cls: 0.1729 acc: 85.7422 loss_bbox: 0.2381 loss_mask: 0.2335 +2024/01/16 06:33:48 - mmengine - INFO - Epoch(train) [10][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:22:02 time: 0.8109 data_time: 0.0301 memory: 10572 loss: 0.5179 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0331 loss_cls: 0.1385 acc: 97.0703 loss_bbox: 0.1623 loss_mask: 0.1619 +2024/01/16 06:34:27 - mmengine - INFO - Epoch(train) [10][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:21:22 time: 0.7864 data_time: 0.0325 memory: 9576 loss: 0.6538 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0392 loss_cls: 0.1692 acc: 96.6797 loss_bbox: 0.2089 loss_mask: 0.2158 +2024/01/16 06:35:08 - mmengine - INFO - Epoch(train) [10][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:20:45 time: 0.8092 data_time: 0.0376 memory: 10572 loss: 0.6597 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0332 loss_cls: 0.1761 acc: 99.4141 loss_bbox: 0.2246 loss_mask: 0.2020 +2024/01/16 06:35:47 - mmengine - INFO - Epoch(train) [10][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:20:05 time: 0.7924 data_time: 0.0286 memory: 9253 loss: 0.5948 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0350 loss_cls: 0.1395 acc: 100.0000 loss_bbox: 0.1872 loss_mask: 0.2048 +2024/01/16 06:36:12 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 06:36:28 - mmengine - INFO - Epoch(train) [10][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:19:29 time: 0.8175 data_time: 0.0391 memory: 10986 loss: 0.7597 loss_rpn_cls: 0.0308 loss_rpn_bbox: 0.0422 loss_cls: 0.1845 acc: 87.6953 loss_bbox: 0.2508 loss_mask: 0.2514 +2024/01/16 06:37:08 - mmengine - INFO - Epoch(train) [10][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:18:49 time: 0.7886 data_time: 0.0320 memory: 10067 loss: 0.7373 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0440 loss_cls: 0.2020 acc: 100.0000 loss_bbox: 0.2534 loss_mask: 0.2116 +2024/01/16 06:37:47 - mmengine - INFO - Epoch(train) [10][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:18:09 time: 0.7880 data_time: 0.0399 memory: 10572 loss: 0.6768 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0460 loss_cls: 0.1769 acc: 88.6719 loss_bbox: 0.2281 loss_mask: 0.1972 +2024/01/16 06:38:26 - mmengine - INFO - Epoch(train) [10][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:17:29 time: 0.7897 data_time: 0.0284 memory: 10755 loss: 0.6400 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0330 loss_cls: 0.1786 acc: 94.1406 loss_bbox: 0.2118 loss_mask: 0.1899 +2024/01/16 06:39:06 - mmengine - INFO - Epoch(train) [10][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:16:50 time: 0.7971 data_time: 0.0361 memory: 10093 loss: 0.6198 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0343 loss_cls: 0.1699 acc: 94.3359 loss_bbox: 0.2007 loss_mask: 0.1926 +2024/01/16 06:39:46 - mmengine - INFO - Epoch(train) [10][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:16:11 time: 0.8003 data_time: 0.0317 memory: 10139 loss: 0.5654 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0270 loss_cls: 0.1479 acc: 92.9688 loss_bbox: 0.1739 loss_mask: 0.1981 +2024/01/16 06:40:26 - mmengine - INFO - Epoch(train) [10][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:15:32 time: 0.7956 data_time: 0.0303 memory: 10067 loss: 0.6630 loss_rpn_cls: 0.0310 loss_rpn_bbox: 0.0288 loss_cls: 0.1617 acc: 92.7734 loss_bbox: 0.2120 loss_mask: 0.2295 +2024/01/16 06:41:06 - mmengine - INFO - Epoch(train) [10][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:14:53 time: 0.7954 data_time: 0.0389 memory: 10067 loss: 0.6709 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0384 loss_cls: 0.1775 acc: 97.8516 loss_bbox: 0.2158 loss_mask: 0.2169 +2024/01/16 06:41:45 - mmengine - INFO - Epoch(train) [10][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:14:13 time: 0.7910 data_time: 0.0332 memory: 9395 loss: 0.6322 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0295 loss_cls: 0.1748 acc: 100.0000 loss_bbox: 0.2104 loss_mask: 0.1962 +2024/01/16 06:42:26 - mmengine - INFO - Epoch(train) [10][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:13:35 time: 0.8013 data_time: 0.0272 memory: 9800 loss: 0.5593 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0285 loss_cls: 0.1323 acc: 90.2344 loss_bbox: 0.1828 loss_mask: 0.1921 +2024/01/16 06:43:06 - mmengine - INFO - Epoch(train) [10][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:12:57 time: 0.8047 data_time: 0.0387 memory: 10516 loss: 0.6460 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0359 loss_cls: 0.1662 acc: 79.8828 loss_bbox: 0.2214 loss_mask: 0.2023 +2024/01/16 06:43:45 - mmengine - INFO - Epoch(train) [10][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:12:17 time: 0.7881 data_time: 0.0262 memory: 10568 loss: 0.5899 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0224 loss_cls: 0.1680 acc: 88.8672 loss_bbox: 0.1768 loss_mask: 0.2045 +2024/01/16 06:44:25 - mmengine - INFO - Epoch(train) [10][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:11:38 time: 0.7952 data_time: 0.0315 memory: 9487 loss: 0.6285 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0303 loss_cls: 0.1651 acc: 99.0234 loss_bbox: 0.2056 loss_mask: 0.2048 +2024/01/16 06:45:05 - mmengine - INFO - Epoch(train) [10][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:11:00 time: 0.8078 data_time: 0.0389 memory: 9725 loss: 0.7521 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0401 loss_cls: 0.2006 acc: 92.5781 loss_bbox: 0.2707 loss_mask: 0.2180 +2024/01/16 06:45:45 - mmengine - INFO - Epoch(train) [10][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:10:21 time: 0.7959 data_time: 0.0307 memory: 11102 loss: 0.6765 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0362 loss_cls: 0.1763 acc: 90.6250 loss_bbox: 0.2243 loss_mask: 0.2170 +2024/01/16 06:46:25 - mmengine - INFO - Epoch(train) [10][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:09:43 time: 0.7992 data_time: 0.0321 memory: 10067 loss: 0.5912 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0311 loss_cls: 0.1445 acc: 98.8281 loss_bbox: 0.1913 loss_mask: 0.2085 +2024/01/16 06:47:05 - mmengine - INFO - Epoch(train) [10][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:09:02 time: 0.7871 data_time: 0.0395 memory: 10572 loss: 0.7365 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0453 loss_cls: 0.2059 acc: 92.3828 loss_bbox: 0.2570 loss_mask: 0.2003 +2024/01/16 06:47:45 - mmengine - INFO - Epoch(train) [10][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:08:24 time: 0.8037 data_time: 0.0314 memory: 10408 loss: 0.5802 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0234 loss_cls: 0.1468 acc: 97.8516 loss_bbox: 0.1947 loss_mask: 0.2016 +2024/01/16 06:48:24 - mmengine - INFO - Epoch(train) [10][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:07:44 time: 0.7879 data_time: 0.0322 memory: 10568 loss: 0.5801 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0287 loss_cls: 0.1547 acc: 93.3594 loss_bbox: 0.1844 loss_mask: 0.1934 +2024/01/16 06:49:04 - mmengine - INFO - Epoch(train) [10][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:07:04 time: 0.7899 data_time: 0.0299 memory: 10789 loss: 0.5801 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0305 loss_cls: 0.1445 acc: 99.4141 loss_bbox: 0.1917 loss_mask: 0.1957 +2024/01/16 06:49:28 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 06:49:45 - mmengine - INFO - Epoch(train) [10][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:06:29 time: 0.8246 data_time: 0.0336 memory: 10228 loss: 0.6494 loss_rpn_cls: 0.0328 loss_rpn_bbox: 0.0347 loss_cls: 0.1878 acc: 89.6484 loss_bbox: 0.1937 loss_mask: 0.2004 +2024/01/16 06:50:24 - mmengine - INFO - Epoch(train) [10][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:05:47 time: 0.7753 data_time: 0.0357 memory: 9772 loss: 0.6926 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0375 loss_cls: 0.1800 acc: 92.3828 loss_bbox: 0.2350 loss_mask: 0.2143 +2024/01/16 06:51:04 - mmengine - INFO - Epoch(train) [10][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:05:09 time: 0.8029 data_time: 0.0332 memory: 10207 loss: 0.6459 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0357 loss_cls: 0.1726 acc: 81.0547 loss_bbox: 0.2013 loss_mask: 0.2134 +2024/01/16 06:51:43 - mmengine - INFO - Epoch(train) [10][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:04:28 time: 0.7818 data_time: 0.0356 memory: 9550 loss: 0.6649 loss_rpn_cls: 0.0292 loss_rpn_bbox: 0.0411 loss_cls: 0.1768 acc: 97.4609 loss_bbox: 0.2091 loss_mask: 0.2086 +2024/01/16 06:52:23 - mmengine - INFO - Epoch(train) [10][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:03:49 time: 0.7966 data_time: 0.0301 memory: 9867 loss: 0.6182 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0293 loss_cls: 0.1585 acc: 97.6562 loss_bbox: 0.1918 loss_mask: 0.2224 +2024/01/16 06:53:02 - mmengine - INFO - Epoch(train) [10][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:03:08 time: 0.7812 data_time: 0.0342 memory: 10253 loss: 0.6373 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0387 loss_cls: 0.1663 acc: 81.0547 loss_bbox: 0.2119 loss_mask: 0.1926 +2024/01/16 06:53:41 - mmengine - INFO - Epoch(train) [10][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:02:26 time: 0.7817 data_time: 0.0325 memory: 11102 loss: 0.7093 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0334 loss_cls: 0.1905 acc: 95.7031 loss_bbox: 0.2318 loss_mask: 0.2352 +2024/01/16 06:54:20 - mmengine - INFO - Epoch(train) [10][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:01:44 time: 0.7756 data_time: 0.0325 memory: 10572 loss: 0.7175 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0393 loss_cls: 0.1955 acc: 98.8281 loss_bbox: 0.2399 loss_mask: 0.2145 +2024/01/16 06:54:59 - mmengine - INFO - Epoch(train) [10][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:01:05 time: 0.7921 data_time: 0.0306 memory: 8434 loss: 0.6563 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0292 loss_cls: 0.1641 acc: 90.8203 loss_bbox: 0.2114 loss_mask: 0.2279 +2024/01/16 06:55:39 - mmengine - INFO - Epoch(train) [10][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 19:00:26 time: 0.7983 data_time: 0.0346 memory: 10872 loss: 0.6597 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0363 loss_cls: 0.1821 acc: 97.2656 loss_bbox: 0.2158 loss_mask: 0.2047 +2024/01/16 06:56:18 - mmengine - INFO - Epoch(train) [10][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:59:45 time: 0.7807 data_time: 0.0331 memory: 10067 loss: 0.6112 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0312 loss_cls: 0.1636 acc: 99.6094 loss_bbox: 0.1970 loss_mask: 0.1953 +2024/01/16 06:56:59 - mmengine - INFO - Epoch(train) [10][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:59:07 time: 0.8079 data_time: 0.0290 memory: 10067 loss: 0.5834 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0244 loss_cls: 0.1453 acc: 96.0938 loss_bbox: 0.1894 loss_mask: 0.2010 +2024/01/16 06:57:38 - mmengine - INFO - Epoch(train) [10][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:58:26 time: 0.7826 data_time: 0.0280 memory: 9375 loss: 0.5924 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0294 loss_cls: 0.1587 acc: 99.2188 loss_bbox: 0.2013 loss_mask: 0.1874 +2024/01/16 06:58:18 - mmengine - INFO - Epoch(train) [10][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:57:48 time: 0.8002 data_time: 0.0298 memory: 10063 loss: 0.6758 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0336 loss_cls: 0.1695 acc: 99.8047 loss_bbox: 0.2381 loss_mask: 0.2092 +2024/01/16 06:58:57 - mmengine - INFO - Epoch(train) [10][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:57:07 time: 0.7812 data_time: 0.0399 memory: 10334 loss: 0.8092 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0460 loss_cls: 0.2210 acc: 92.7734 loss_bbox: 0.2867 loss_mask: 0.2307 +2024/01/16 06:59:36 - mmengine - INFO - Epoch(train) [10][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:56:26 time: 0.7880 data_time: 0.0299 memory: 10067 loss: 0.5742 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0241 loss_cls: 0.1566 acc: 87.8906 loss_bbox: 0.1807 loss_mask: 0.1978 +2024/01/16 07:00:16 - mmengine - INFO - Epoch(train) [10][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:55:46 time: 0.7854 data_time: 0.0308 memory: 10067 loss: 0.6864 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0292 loss_cls: 0.1616 acc: 85.3516 loss_bbox: 0.2326 loss_mask: 0.2417 +2024/01/16 07:00:56 - mmengine - INFO - Epoch(train) [10][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:55:07 time: 0.7977 data_time: 0.0333 memory: 10305 loss: 0.6397 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0324 loss_cls: 0.1799 acc: 85.9375 loss_bbox: 0.2097 loss_mask: 0.1978 +2024/01/16 07:01:35 - mmengine - INFO - Epoch(train) [10][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:54:28 time: 0.7942 data_time: 0.0358 memory: 10067 loss: 0.7504 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0402 loss_cls: 0.2011 acc: 92.7734 loss_bbox: 0.2569 loss_mask: 0.2258 +2024/01/16 07:02:16 - mmengine - INFO - Epoch(train) [10][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:53:50 time: 0.8055 data_time: 0.0391 memory: 9947 loss: 0.8150 loss_rpn_cls: 0.0322 loss_rpn_bbox: 0.0486 loss_cls: 0.2254 acc: 94.3359 loss_bbox: 0.2802 loss_mask: 0.2286 +2024/01/16 07:02:40 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 07:02:56 - mmengine - INFO - Epoch(train) [10][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:53:12 time: 0.8034 data_time: 0.0366 memory: 10516 loss: 0.7592 loss_rpn_cls: 0.0321 loss_rpn_bbox: 0.0413 loss_cls: 0.1969 acc: 88.8672 loss_bbox: 0.2541 loss_mask: 0.2348 +2024/01/16 07:03:35 - mmengine - INFO - Epoch(train) [10][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:52:30 time: 0.7800 data_time: 0.0314 memory: 9420 loss: 0.7269 loss_rpn_cls: 0.0323 loss_rpn_bbox: 0.0366 loss_cls: 0.2015 acc: 99.4141 loss_bbox: 0.2315 loss_mask: 0.2251 +2024/01/16 07:04:14 - mmengine - INFO - Epoch(train) [10][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:51:51 time: 0.7926 data_time: 0.0318 memory: 10696 loss: 0.6034 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0256 loss_cls: 0.1535 acc: 98.8281 loss_bbox: 0.2043 loss_mask: 0.2028 +2024/01/16 07:04:55 - mmengine - INFO - Epoch(train) [10][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:51:13 time: 0.8064 data_time: 0.0350 memory: 10364 loss: 0.7538 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0355 loss_cls: 0.2077 acc: 99.4141 loss_bbox: 0.2604 loss_mask: 0.2227 +2024/01/16 07:05:33 - mmengine - INFO - Epoch(train) [10][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:50:30 time: 0.7679 data_time: 0.0343 memory: 10167 loss: 0.5750 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0250 loss_cls: 0.1493 acc: 90.2344 loss_bbox: 0.1854 loss_mask: 0.1968 +2024/01/16 07:06:12 - mmengine - INFO - Epoch(train) [10][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:49:49 time: 0.7840 data_time: 0.0398 memory: 10789 loss: 0.7719 loss_rpn_cls: 0.0334 loss_rpn_bbox: 0.0491 loss_cls: 0.2176 acc: 100.0000 loss_bbox: 0.2513 loss_mask: 0.2204 +2024/01/16 07:06:52 - mmengine - INFO - Epoch(train) [10][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:49:10 time: 0.7968 data_time: 0.0331 memory: 10440 loss: 0.6550 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0390 loss_cls: 0.1620 acc: 81.4453 loss_bbox: 0.2263 loss_mask: 0.2064 +2024/01/16 07:07:32 - mmengine - INFO - Epoch(train) [10][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:48:31 time: 0.7955 data_time: 0.0323 memory: 10741 loss: 0.6414 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0302 loss_cls: 0.1638 acc: 98.4375 loss_bbox: 0.2071 loss_mask: 0.2244 +2024/01/16 07:08:12 - mmengine - INFO - Epoch(train) [10][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:47:52 time: 0.7972 data_time: 0.0385 memory: 10288 loss: 0.6835 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0389 loss_cls: 0.1787 acc: 91.6016 loss_bbox: 0.2277 loss_mask: 0.2119 +2024/01/16 07:08:51 - mmengine - INFO - Epoch(train) [10][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:47:11 time: 0.7832 data_time: 0.0385 memory: 10609 loss: 0.6191 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0331 loss_cls: 0.1500 acc: 99.0234 loss_bbox: 0.2072 loss_mask: 0.2109 +2024/01/16 07:09:31 - mmengine - INFO - Epoch(train) [10][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:46:33 time: 0.7980 data_time: 0.0346 memory: 10572 loss: 0.5912 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0258 loss_cls: 0.1504 acc: 95.8984 loss_bbox: 0.2000 loss_mask: 0.1970 +2024/01/16 07:10:10 - mmengine - INFO - Epoch(train) [10][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:45:51 time: 0.7748 data_time: 0.0286 memory: 10572 loss: 0.6998 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0355 loss_cls: 0.1953 acc: 94.7266 loss_bbox: 0.2282 loss_mask: 0.2156 +2024/01/16 07:10:49 - mmengine - INFO - Epoch(train) [10][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:45:11 time: 0.7902 data_time: 0.0341 memory: 10063 loss: 0.6566 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0388 loss_cls: 0.1583 acc: 98.0469 loss_bbox: 0.2242 loss_mask: 0.2151 +2024/01/16 07:11:28 - mmengine - INFO - Epoch(train) [10][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:44:30 time: 0.7833 data_time: 0.0273 memory: 9967 loss: 0.6404 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0280 loss_cls: 0.1719 acc: 83.7891 loss_bbox: 0.2148 loss_mask: 0.2042 +2024/01/16 07:12:08 - mmengine - INFO - Epoch(train) [10][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:43:51 time: 0.7979 data_time: 0.0344 memory: 11026 loss: 0.6908 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0328 loss_cls: 0.1829 acc: 86.1328 loss_bbox: 0.2280 loss_mask: 0.2212 +2024/01/16 07:12:48 - mmengine - INFO - Epoch(train) [10][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:43:11 time: 0.7919 data_time: 0.0326 memory: 10568 loss: 0.7026 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0374 loss_cls: 0.1919 acc: 91.4062 loss_bbox: 0.2468 loss_mask: 0.2018 +2024/01/16 07:13:27 - mmengine - INFO - Epoch(train) [10][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:42:32 time: 0.7927 data_time: 0.0343 memory: 9338 loss: 0.6395 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0386 loss_cls: 0.1592 acc: 98.4375 loss_bbox: 0.2111 loss_mask: 0.2050 +2024/01/16 07:14:07 - mmengine - INFO - Epoch(train) [10][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:41:53 time: 0.7987 data_time: 0.0317 memory: 10067 loss: 0.7128 loss_rpn_cls: 0.0316 loss_rpn_bbox: 0.0362 loss_cls: 0.1998 acc: 97.0703 loss_bbox: 0.2323 loss_mask: 0.2130 +2024/01/16 07:14:47 - mmengine - INFO - Epoch(train) [10][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:41:13 time: 0.7882 data_time: 0.0311 memory: 10572 loss: 0.6319 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0316 loss_cls: 0.1632 acc: 98.0469 loss_bbox: 0.2154 loss_mask: 0.1983 +2024/01/16 07:15:27 - mmengine - INFO - Epoch(train) [10][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:40:34 time: 0.7948 data_time: 0.0338 memory: 9949 loss: 0.6701 loss_rpn_cls: 0.0318 loss_rpn_bbox: 0.0389 loss_cls: 0.1684 acc: 86.3281 loss_bbox: 0.2279 loss_mask: 0.2031 +2024/01/16 07:15:50 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 07:16:06 - mmengine - INFO - Epoch(train) [10][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:39:54 time: 0.7948 data_time: 0.0274 memory: 10583 loss: 0.6495 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0357 loss_cls: 0.1681 acc: 97.4609 loss_bbox: 0.2090 loss_mask: 0.2053 +2024/01/16 07:16:46 - mmengine - INFO - Epoch(train) [10][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:39:15 time: 0.7942 data_time: 0.0343 memory: 10067 loss: 0.6782 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0307 loss_cls: 0.1685 acc: 92.9688 loss_bbox: 0.2285 loss_mask: 0.2247 +2024/01/16 07:17:25 - mmengine - INFO - Epoch(train) [10][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:38:34 time: 0.7837 data_time: 0.0324 memory: 9637 loss: 0.7032 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0337 loss_cls: 0.1828 acc: 81.8359 loss_bbox: 0.2367 loss_mask: 0.2252 +2024/01/16 07:18:06 - mmengine - INFO - Epoch(train) [10][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:37:56 time: 0.8062 data_time: 0.0323 memory: 10328 loss: 0.6520 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0302 loss_cls: 0.1574 acc: 98.8281 loss_bbox: 0.2098 loss_mask: 0.2276 +2024/01/16 07:18:45 - mmengine - INFO - Epoch(train) [10][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:37:17 time: 0.7957 data_time: 0.0326 memory: 10986 loss: 0.6642 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0284 loss_cls: 0.1839 acc: 93.7500 loss_bbox: 0.2172 loss_mask: 0.2116 +2024/01/16 07:19:25 - mmengine - INFO - Epoch(train) [10][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:36:37 time: 0.7903 data_time: 0.0353 memory: 11049 loss: 0.6924 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0346 loss_cls: 0.1873 acc: 99.4141 loss_bbox: 0.2268 loss_mask: 0.2123 +2024/01/16 07:20:05 - mmengine - INFO - Epoch(train) [10][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:35:58 time: 0.7939 data_time: 0.0340 memory: 9949 loss: 0.6897 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0407 loss_cls: 0.1653 acc: 97.6562 loss_bbox: 0.2226 loss_mask: 0.2344 +2024/01/16 07:20:45 - mmengine - INFO - Epoch(train) [10][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:35:19 time: 0.7983 data_time: 0.0357 memory: 10067 loss: 0.7261 loss_rpn_cls: 0.0312 loss_rpn_bbox: 0.0349 loss_cls: 0.1955 acc: 93.3594 loss_bbox: 0.2237 loss_mask: 0.2408 +2024/01/16 07:21:24 - mmengine - INFO - Epoch(train) [10][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:34:40 time: 0.7950 data_time: 0.0336 memory: 10067 loss: 0.6616 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0343 loss_cls: 0.1738 acc: 98.8281 loss_bbox: 0.2059 loss_mask: 0.2203 +2024/01/16 07:22:04 - mmengine - INFO - Epoch(train) [10][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:34:00 time: 0.7883 data_time: 0.0362 memory: 10364 loss: 0.7333 loss_rpn_cls: 0.0339 loss_rpn_bbox: 0.0364 loss_cls: 0.1956 acc: 97.4609 loss_bbox: 0.2454 loss_mask: 0.2221 +2024/01/16 07:22:43 - mmengine - INFO - Epoch(train) [10][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:33:20 time: 0.7881 data_time: 0.0360 memory: 10301 loss: 0.6891 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0350 loss_cls: 0.2143 acc: 93.5547 loss_bbox: 0.2163 loss_mask: 0.2007 +2024/01/16 07:23:23 - mmengine - INFO - Epoch(train) [10][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:32:40 time: 0.7912 data_time: 0.0331 memory: 10278 loss: 0.6507 loss_rpn_cls: 0.0250 loss_rpn_bbox: 0.0319 loss_cls: 0.1694 acc: 94.3359 loss_bbox: 0.2144 loss_mask: 0.2099 +2024/01/16 07:24:02 - mmengine - INFO - Epoch(train) [10][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:31:59 time: 0.7844 data_time: 0.0364 memory: 9865 loss: 0.7849 loss_rpn_cls: 0.0321 loss_rpn_bbox: 0.0393 loss_cls: 0.2133 acc: 82.8125 loss_bbox: 0.2753 loss_mask: 0.2249 +2024/01/16 07:24:42 - mmengine - INFO - Epoch(train) [10][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:31:21 time: 0.8009 data_time: 0.0312 memory: 10788 loss: 0.6505 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0318 loss_cls: 0.1732 acc: 91.7969 loss_bbox: 0.2273 loss_mask: 0.1949 +2024/01/16 07:25:22 - mmengine - INFO - Epoch(train) [10][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:30:41 time: 0.7908 data_time: 0.0397 memory: 10572 loss: 0.7430 loss_rpn_cls: 0.0370 loss_rpn_bbox: 0.0415 loss_cls: 0.2058 acc: 98.2422 loss_bbox: 0.2426 loss_mask: 0.2161 +2024/01/16 07:26:01 - mmengine - INFO - Epoch(train) [10][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:30:01 time: 0.7868 data_time: 0.0309 memory: 9378 loss: 0.5925 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0324 loss_cls: 0.1484 acc: 97.0703 loss_bbox: 0.2015 loss_mask: 0.1886 +2024/01/16 07:26:40 - mmengine - INFO - Epoch(train) [10][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:29:20 time: 0.7845 data_time: 0.0347 memory: 10572 loss: 0.6968 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0345 loss_cls: 0.1822 acc: 97.6562 loss_bbox: 0.2315 loss_mask: 0.2162 +2024/01/16 07:27:19 - mmengine - INFO - Epoch(train) [10][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:28:39 time: 0.7863 data_time: 0.0331 memory: 9253 loss: 0.7469 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0383 loss_cls: 0.2032 acc: 99.2188 loss_bbox: 0.2542 loss_mask: 0.2246 +2024/01/16 07:27:59 - mmengine - INFO - Epoch(train) [10][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:27:58 time: 0.7797 data_time: 0.0358 memory: 9737 loss: 0.7957 loss_rpn_cls: 0.0311 loss_rpn_bbox: 0.0415 loss_cls: 0.2152 acc: 96.4844 loss_bbox: 0.2763 loss_mask: 0.2316 +2024/01/16 07:28:39 - mmengine - INFO - Epoch(train) [10][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:27:21 time: 0.8142 data_time: 0.0356 memory: 10582 loss: 0.6312 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0263 loss_cls: 0.1635 acc: 93.3594 loss_bbox: 0.2111 loss_mask: 0.2126 +2024/01/16 07:29:04 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 07:29:19 - mmengine - INFO - Epoch(train) [10][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:26:43 time: 0.8005 data_time: 0.0305 memory: 10508 loss: 0.6598 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0300 loss_cls: 0.1741 acc: 92.1875 loss_bbox: 0.2236 loss_mask: 0.2112 +2024/01/16 07:30:00 - mmengine - INFO - Epoch(train) [10][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:26:07 time: 0.8166 data_time: 0.0355 memory: 11102 loss: 0.6584 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0309 loss_cls: 0.1733 acc: 95.1172 loss_bbox: 0.2230 loss_mask: 0.2110 +2024/01/16 07:30:39 - mmengine - INFO - Epoch(train) [10][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:25:26 time: 0.7860 data_time: 0.0369 memory: 10572 loss: 0.7656 loss_rpn_cls: 0.0311 loss_rpn_bbox: 0.0462 loss_cls: 0.1976 acc: 92.5781 loss_bbox: 0.2688 loss_mask: 0.2220 +2024/01/16 07:31:20 - mmengine - INFO - Epoch(train) [10][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:24:48 time: 0.8060 data_time: 0.0287 memory: 11102 loss: 0.6108 loss_rpn_cls: 0.0287 loss_rpn_bbox: 0.0305 loss_cls: 0.1581 acc: 97.0703 loss_bbox: 0.2056 loss_mask: 0.1879 +2024/01/16 07:31:59 - mmengine - INFO - Epoch(train) [10][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:24:07 time: 0.7782 data_time: 0.0281 memory: 10067 loss: 0.6023 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0311 loss_cls: 0.1550 acc: 100.0000 loss_bbox: 0.1962 loss_mask: 0.2004 +2024/01/16 07:32:38 - mmengine - INFO - Epoch(train) [10][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:23:28 time: 0.7959 data_time: 0.0324 memory: 9495 loss: 0.5395 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0245 loss_cls: 0.1402 acc: 99.6094 loss_bbox: 0.1741 loss_mask: 0.1840 +2024/01/16 07:33:17 - mmengine - INFO - Epoch(train) [10][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:22:46 time: 0.7731 data_time: 0.0322 memory: 9276 loss: 0.6905 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0325 loss_cls: 0.2057 acc: 98.6328 loss_bbox: 0.2097 loss_mask: 0.2196 +2024/01/16 07:33:57 - mmengine - INFO - Epoch(train) [10][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:22:07 time: 0.7989 data_time: 0.0327 memory: 10568 loss: 0.6299 loss_rpn_cls: 0.0253 loss_rpn_bbox: 0.0324 loss_cls: 0.1652 acc: 97.8516 loss_bbox: 0.2080 loss_mask: 0.1990 +2024/01/16 07:34:37 - mmengine - INFO - Epoch(train) [10][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:21:27 time: 0.7901 data_time: 0.0302 memory: 9364 loss: 0.6072 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0334 loss_cls: 0.1571 acc: 98.0469 loss_bbox: 0.1852 loss_mask: 0.2143 +2024/01/16 07:35:17 - mmengine - INFO - Epoch(train) [10][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:20:48 time: 0.8006 data_time: 0.0334 memory: 9249 loss: 0.7210 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0389 loss_cls: 0.1893 acc: 82.0312 loss_bbox: 0.2371 loss_mask: 0.2284 +2024/01/16 07:35:56 - mmengine - INFO - Epoch(train) [10][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:20:09 time: 0.7942 data_time: 0.0322 memory: 10449 loss: 0.5863 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0295 loss_cls: 0.1613 acc: 92.3828 loss_bbox: 0.1831 loss_mask: 0.1876 +2024/01/16 07:36:36 - mmengine - INFO - Epoch(train) [10][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:19:29 time: 0.7861 data_time: 0.0299 memory: 10299 loss: 0.6763 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0273 loss_cls: 0.1709 acc: 84.1797 loss_bbox: 0.2438 loss_mask: 0.2136 +2024/01/16 07:37:16 - mmengine - INFO - Epoch(train) [10][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:18:50 time: 0.8007 data_time: 0.0286 memory: 10360 loss: 0.5460 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0213 loss_cls: 0.1490 acc: 98.0469 loss_bbox: 0.1777 loss_mask: 0.1745 +2024/01/16 07:37:56 - mmengine - INFO - Epoch(train) [10][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:18:11 time: 0.7998 data_time: 0.0339 memory: 9537 loss: 0.6055 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0297 loss_cls: 0.1682 acc: 88.0859 loss_bbox: 0.2032 loss_mask: 0.1815 +2024/01/16 07:38:35 - mmengine - INFO - Epoch(train) [10][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:17:32 time: 0.7952 data_time: 0.0284 memory: 9253 loss: 0.6185 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0360 loss_cls: 0.1531 acc: 90.8203 loss_bbox: 0.2043 loss_mask: 0.2030 +2024/01/16 07:39:15 - mmengine - INFO - Epoch(train) [10][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:16:53 time: 0.7982 data_time: 0.0302 memory: 9997 loss: 0.6397 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0336 loss_cls: 0.1658 acc: 93.5547 loss_bbox: 0.2150 loss_mask: 0.1939 +2024/01/16 07:39:56 - mmengine - INFO - Epoch(train) [10][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:16:15 time: 0.8027 data_time: 0.0336 memory: 10067 loss: 0.7401 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0418 loss_cls: 0.1984 acc: 92.3828 loss_bbox: 0.2520 loss_mask: 0.2233 +2024/01/16 07:40:35 - mmengine - INFO - Epoch(train) [10][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:15:35 time: 0.7862 data_time: 0.0370 memory: 10299 loss: 0.7215 loss_rpn_cls: 0.0334 loss_rpn_bbox: 0.0417 loss_cls: 0.1885 acc: 97.4609 loss_bbox: 0.2375 loss_mask: 0.2204 +2024/01/16 07:41:14 - mmengine - INFO - Epoch(train) [10][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:14:55 time: 0.7928 data_time: 0.0345 memory: 11102 loss: 0.6512 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0344 loss_cls: 0.1612 acc: 85.5469 loss_bbox: 0.2140 loss_mask: 0.2159 +2024/01/16 07:41:54 - mmengine - INFO - Epoch(train) [10][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:14:14 time: 0.7833 data_time: 0.0358 memory: 8514 loss: 0.7511 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0438 loss_cls: 0.2079 acc: 85.7422 loss_bbox: 0.2465 loss_mask: 0.2249 +2024/01/16 07:42:18 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 07:42:34 - mmengine - INFO - Epoch(train) [10][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:13:37 time: 0.8120 data_time: 0.0342 memory: 10572 loss: 0.7518 loss_rpn_cls: 0.0329 loss_rpn_bbox: 0.0394 loss_cls: 0.2037 acc: 98.8281 loss_bbox: 0.2376 loss_mask: 0.2382 +2024/01/16 07:43:14 - mmengine - INFO - Epoch(train) [10][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:12:58 time: 0.7909 data_time: 0.0362 memory: 10572 loss: 0.6142 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0341 loss_cls: 0.1619 acc: 99.6094 loss_bbox: 0.1876 loss_mask: 0.2066 +2024/01/16 07:43:54 - mmengine - INFO - Epoch(train) [10][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:12:19 time: 0.8018 data_time: 0.0335 memory: 10986 loss: 0.6702 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0331 loss_cls: 0.1724 acc: 89.6484 loss_bbox: 0.2120 loss_mask: 0.2255 +2024/01/16 07:44:33 - mmengine - INFO - Epoch(train) [10][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:11:37 time: 0.7762 data_time: 0.0395 memory: 11061 loss: 0.6912 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0366 loss_cls: 0.1857 acc: 98.6328 loss_bbox: 0.2256 loss_mask: 0.2152 +2024/01/16 07:45:12 - mmengine - INFO - Epoch(train) [10][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:10:56 time: 0.7821 data_time: 0.0311 memory: 10572 loss: 0.6937 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0356 loss_cls: 0.1785 acc: 86.9141 loss_bbox: 0.2263 loss_mask: 0.2271 +2024/01/16 07:45:52 - mmengine - INFO - Epoch(train) [10][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:10:18 time: 0.8003 data_time: 0.0300 memory: 10361 loss: 0.7076 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0371 loss_cls: 0.1881 acc: 95.3125 loss_bbox: 0.2358 loss_mask: 0.2135 +2024/01/16 07:46:32 - mmengine - INFO - Epoch(train) [10][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:09:39 time: 0.7986 data_time: 0.0342 memory: 10205 loss: 0.6151 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0278 loss_cls: 0.1621 acc: 99.4141 loss_bbox: 0.2093 loss_mask: 0.1998 +2024/01/16 07:47:12 - mmengine - INFO - Epoch(train) [10][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:09:01 time: 0.8020 data_time: 0.0370 memory: 10433 loss: 0.6731 loss_rpn_cls: 0.0326 loss_rpn_bbox: 0.0359 loss_cls: 0.1885 acc: 90.6250 loss_bbox: 0.2143 loss_mask: 0.2018 +2024/01/16 07:47:51 - mmengine - INFO - Epoch(train) [10][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:08:20 time: 0.7797 data_time: 0.0341 memory: 10067 loss: 0.5883 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0307 loss_cls: 0.1521 acc: 97.0703 loss_bbox: 0.1973 loss_mask: 0.1883 +2024/01/16 07:48:31 - mmengine - INFO - Epoch(train) [10][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:07:41 time: 0.7978 data_time: 0.0358 memory: 10299 loss: 0.6565 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0396 loss_cls: 0.1866 acc: 95.5078 loss_bbox: 0.2166 loss_mask: 0.1948 +2024/01/16 07:49:10 - mmengine - INFO - Epoch(train) [10][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:07:00 time: 0.7815 data_time: 0.0326 memory: 10986 loss: 0.5937 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0313 loss_cls: 0.1521 acc: 95.1172 loss_bbox: 0.1996 loss_mask: 0.1924 +2024/01/16 07:49:49 - mmengine - INFO - Epoch(train) [10][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:06:19 time: 0.7828 data_time: 0.0308 memory: 10067 loss: 0.6426 loss_rpn_cls: 0.0303 loss_rpn_bbox: 0.0313 loss_cls: 0.1754 acc: 97.0703 loss_bbox: 0.2049 loss_mask: 0.2007 +2024/01/16 07:50:28 - mmengine - INFO - Epoch(train) [10][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:05:38 time: 0.7818 data_time: 0.0315 memory: 10900 loss: 0.6192 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0314 loss_cls: 0.1698 acc: 99.0234 loss_bbox: 0.2118 loss_mask: 0.1909 +2024/01/16 07:51:07 - mmengine - INFO - Epoch(train) [10][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:04:57 time: 0.7856 data_time: 0.0334 memory: 10572 loss: 0.6893 loss_rpn_cls: 0.0291 loss_rpn_bbox: 0.0363 loss_cls: 0.1803 acc: 79.1016 loss_bbox: 0.2277 loss_mask: 0.2159 +2024/01/16 07:51:47 - mmengine - INFO - Epoch(train) [10][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:04:17 time: 0.7894 data_time: 0.0305 memory: 10521 loss: 0.6597 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0332 loss_cls: 0.1647 acc: 97.4609 loss_bbox: 0.2248 loss_mask: 0.2161 +2024/01/16 07:52:28 - mmengine - INFO - Epoch(train) [10][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:03:41 time: 0.8169 data_time: 0.0338 memory: 10456 loss: 0.6422 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0340 loss_cls: 0.1684 acc: 93.9453 loss_bbox: 0.2146 loss_mask: 0.2046 +2024/01/16 07:53:08 - mmengine - INFO - Epoch(train) [10][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:03:02 time: 0.7981 data_time: 0.0314 memory: 10067 loss: 0.6700 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0361 loss_cls: 0.1844 acc: 92.5781 loss_bbox: 0.2101 loss_mask: 0.2153 +2024/01/16 07:53:47 - mmengine - INFO - Epoch(train) [10][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:02:23 time: 0.7944 data_time: 0.0294 memory: 10067 loss: 0.6221 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0260 loss_cls: 0.1710 acc: 97.2656 loss_bbox: 0.2079 loss_mask: 0.1956 +2024/01/16 07:54:27 - mmengine - INFO - Epoch(train) [10][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:01:42 time: 0.7862 data_time: 0.0337 memory: 10437 loss: 0.7717 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0456 loss_cls: 0.2132 acc: 97.6562 loss_bbox: 0.2673 loss_mask: 0.2224 +2024/01/16 07:55:06 - mmengine - INFO - Epoch(train) [10][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:01:02 time: 0.7908 data_time: 0.0349 memory: 10153 loss: 0.6846 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0337 loss_cls: 0.1787 acc: 86.5234 loss_bbox: 0.2380 loss_mask: 0.2155 +2024/01/16 07:55:30 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 07:55:45 - mmengine - INFO - Epoch(train) [10][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 18:00:21 time: 0.7781 data_time: 0.0313 memory: 10067 loss: 0.5931 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0295 loss_cls: 0.1638 acc: 94.3359 loss_bbox: 0.1941 loss_mask: 0.1856 +2024/01/16 07:56:24 - mmengine - INFO - Epoch(train) [10][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:59:40 time: 0.7812 data_time: 0.0373 memory: 10196 loss: 0.6554 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0343 loss_cls: 0.1712 acc: 98.8281 loss_bbox: 0.2287 loss_mask: 0.1976 +2024/01/16 07:57:04 - mmengine - INFO - Epoch(train) [10][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:59:00 time: 0.7889 data_time: 0.0343 memory: 10113 loss: 0.6023 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0281 loss_cls: 0.1581 acc: 92.5781 loss_bbox: 0.1992 loss_mask: 0.1963 +2024/01/16 07:57:44 - mmengine - INFO - Epoch(train) [10][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:58:21 time: 0.7964 data_time: 0.0385 memory: 9929 loss: 0.8354 loss_rpn_cls: 0.0489 loss_rpn_bbox: 0.0501 loss_cls: 0.2331 acc: 98.0469 loss_bbox: 0.2778 loss_mask: 0.2256 +2024/01/16 07:58:23 - mmengine - INFO - Epoch(train) [10][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:57:39 time: 0.7787 data_time: 0.0303 memory: 9599 loss: 0.6002 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0247 loss_cls: 0.1523 acc: 97.4609 loss_bbox: 0.2055 loss_mask: 0.1987 +2024/01/16 07:59:01 - mmengine - INFO - Epoch(train) [10][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:56:57 time: 0.7694 data_time: 0.0275 memory: 10572 loss: 0.5624 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0271 loss_cls: 0.1504 acc: 99.2188 loss_bbox: 0.1873 loss_mask: 0.1780 +2024/01/16 07:59:25 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 07:59:25 - mmengine - INFO - Saving checkpoint at 10 epochs +2024/01/16 07:59:39 - mmengine - INFO - Epoch(val) [10][ 50/313] eta: 0:00:53 time: 0.2034 data_time: 0.0410 memory: 10067 +2024/01/16 07:59:48 - mmengine - INFO - Epoch(val) [10][100/313] eta: 0:00:41 time: 0.1875 data_time: 0.0262 memory: 2388 +2024/01/16 07:59:58 - mmengine - INFO - Epoch(val) [10][150/313] eta: 0:00:31 time: 0.1966 data_time: 0.0384 memory: 2431 +2024/01/16 08:00:09 - mmengine - INFO - Epoch(val) [10][200/313] eta: 0:00:22 time: 0.2184 data_time: 0.0552 memory: 2403 +2024/01/16 08:00:18 - mmengine - INFO - Epoch(val) [10][250/313] eta: 0:00:12 time: 0.1863 data_time: 0.0290 memory: 2431 +2024/01/16 08:00:28 - mmengine - INFO - Epoch(val) [10][300/313] eta: 0:00:02 time: 0.1990 data_time: 0.0389 memory: 2403 +2024/01/16 08:00:37 - mmengine - INFO - Evaluating bbox... +2024/01/16 08:01:02 - mmengine - INFO - bbox_mAP_copypaste: 0.461 0.688 0.501 0.291 0.503 0.609 +2024/01/16 08:01:02 - mmengine - INFO - Evaluating segm... +2024/01/16 08:01:30 - mmengine - INFO - segm_mAP_copypaste: 0.413 0.653 0.446 0.211 0.449 0.607 +2024/01/16 08:01:31 - mmengine - INFO - Epoch(val) [10][313/313] coco/bbox_mAP: 0.4610 coco/bbox_mAP_50: 0.6880 coco/bbox_mAP_75: 0.5010 coco/bbox_mAP_s: 0.2910 coco/bbox_mAP_m: 0.5030 coco/bbox_mAP_l: 0.6090 coco/segm_mAP: 0.4130 coco/segm_mAP_50: 0.6530 coco/segm_mAP_75: 0.4460 coco/segm_mAP_s: 0.2110 coco/segm_mAP_m: 0.4490 coco/segm_mAP_l: 0.6070 data_time: 0.0367 time: 0.1968 +2024/01/16 08:02:11 - mmengine - INFO - Epoch(train) [11][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:55:56 time: 0.8128 data_time: 0.0449 memory: 10789 loss: 0.5948 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0373 loss_cls: 0.1532 acc: 97.4609 loss_bbox: 0.1948 loss_mask: 0.1861 +2024/01/16 08:02:51 - mmengine - INFO - Epoch(train) [11][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:55:17 time: 0.7995 data_time: 0.0317 memory: 10074 loss: 0.5524 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0307 loss_cls: 0.1356 acc: 93.1641 loss_bbox: 0.1777 loss_mask: 0.1844 +2024/01/16 08:03:30 - mmengine - INFO - Epoch(train) [11][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:54:36 time: 0.7834 data_time: 0.0341 memory: 9733 loss: 0.6020 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0293 loss_cls: 0.1569 acc: 91.0156 loss_bbox: 0.2037 loss_mask: 0.1914 +2024/01/16 08:04:11 - mmengine - INFO - Epoch(train) [11][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:53:59 time: 0.8056 data_time: 0.0357 memory: 10572 loss: 0.6491 loss_rpn_cls: 0.0298 loss_rpn_bbox: 0.0359 loss_cls: 0.1800 acc: 93.9453 loss_bbox: 0.2133 loss_mask: 0.1901 +2024/01/16 08:04:50 - mmengine - INFO - Epoch(train) [11][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:53:17 time: 0.7797 data_time: 0.0328 memory: 10149 loss: 0.6077 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0356 loss_cls: 0.1583 acc: 94.5312 loss_bbox: 0.2049 loss_mask: 0.1892 +2024/01/16 08:05:29 - mmengine - INFO - Epoch(train) [11][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:52:38 time: 0.7925 data_time: 0.0298 memory: 10176 loss: 0.6209 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0362 loss_cls: 0.1530 acc: 93.9453 loss_bbox: 0.2124 loss_mask: 0.1960 +2024/01/16 08:06:10 - mmengine - INFO - Epoch(train) [11][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:52:00 time: 0.8061 data_time: 0.0367 memory: 10568 loss: 0.6516 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0325 loss_cls: 0.1760 acc: 97.0703 loss_bbox: 0.2252 loss_mask: 0.1942 +2024/01/16 08:06:50 - mmengine - INFO - Epoch(train) [11][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:51:21 time: 0.7999 data_time: 0.0366 memory: 10101 loss: 0.7033 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0381 loss_cls: 0.1971 acc: 79.2969 loss_bbox: 0.2330 loss_mask: 0.2042 +2024/01/16 08:07:29 - mmengine - INFO - Epoch(train) [11][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:50:41 time: 0.7864 data_time: 0.0292 memory: 9700 loss: 0.6130 loss_rpn_cls: 0.0301 loss_rpn_bbox: 0.0272 loss_cls: 0.1583 acc: 92.7734 loss_bbox: 0.1894 loss_mask: 0.2079 +2024/01/16 08:08:08 - mmengine - INFO - Epoch(train) [11][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:50:01 time: 0.7899 data_time: 0.0310 memory: 9137 loss: 0.5954 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0300 loss_cls: 0.1514 acc: 99.2188 loss_bbox: 0.1927 loss_mask: 0.1966 +2024/01/16 08:08:48 - mmengine - INFO - Epoch(train) [11][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:49:22 time: 0.7951 data_time: 0.0279 memory: 10424 loss: 0.6115 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0280 loss_cls: 0.1495 acc: 99.4141 loss_bbox: 0.2009 loss_mask: 0.2131 +2024/01/16 08:09:28 - mmengine - INFO - Epoch(train) [11][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:48:43 time: 0.8001 data_time: 0.0381 memory: 10572 loss: 0.7279 loss_rpn_cls: 0.0289 loss_rpn_bbox: 0.0358 loss_cls: 0.2108 acc: 92.3828 loss_bbox: 0.2440 loss_mask: 0.2083 +2024/01/16 08:10:08 - mmengine - INFO - Epoch(train) [11][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:48:04 time: 0.7950 data_time: 0.0358 memory: 10568 loss: 0.6872 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0358 loss_cls: 0.1832 acc: 90.4297 loss_bbox: 0.2418 loss_mask: 0.1965 +2024/01/16 08:10:47 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 08:10:47 - mmengine - INFO - Epoch(train) [11][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:47:23 time: 0.7809 data_time: 0.0338 memory: 11102 loss: 0.6195 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0374 loss_cls: 0.1650 acc: 88.6719 loss_bbox: 0.2068 loss_mask: 0.1881 +2024/01/16 08:11:27 - mmengine - INFO - Epoch(train) [11][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:46:43 time: 0.7935 data_time: 0.0342 memory: 10304 loss: 0.5831 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0292 loss_cls: 0.1508 acc: 95.7031 loss_bbox: 0.1951 loss_mask: 0.1918 +2024/01/16 08:12:07 - mmengine - INFO - Epoch(train) [11][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:46:05 time: 0.8028 data_time: 0.0312 memory: 9134 loss: 0.7326 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0417 loss_cls: 0.1960 acc: 87.3047 loss_bbox: 0.2427 loss_mask: 0.2279 +2024/01/16 08:12:47 - mmengine - INFO - Epoch(train) [11][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:45:26 time: 0.7993 data_time: 0.0349 memory: 10067 loss: 0.7680 loss_rpn_cls: 0.0379 loss_rpn_bbox: 0.0547 loss_cls: 0.1961 acc: 93.9453 loss_bbox: 0.2620 loss_mask: 0.2173 +2024/01/16 08:13:26 - mmengine - INFO - Epoch(train) [11][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:44:46 time: 0.7876 data_time: 0.0301 memory: 10582 loss: 0.6126 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0336 loss_cls: 0.1467 acc: 98.0469 loss_bbox: 0.2148 loss_mask: 0.1987 +2024/01/16 08:14:06 - mmengine - INFO - Epoch(train) [11][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:44:07 time: 0.7952 data_time: 0.0314 memory: 10539 loss: 0.4872 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0219 loss_cls: 0.1199 acc: 100.0000 loss_bbox: 0.1628 loss_mask: 0.1684 +2024/01/16 08:14:46 - mmengine - INFO - Epoch(train) [11][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:43:27 time: 0.7897 data_time: 0.0314 memory: 9736 loss: 0.6320 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0327 loss_cls: 0.1580 acc: 98.4375 loss_bbox: 0.2150 loss_mask: 0.2001 +2024/01/16 08:15:25 - mmengine - INFO - Epoch(train) [11][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:42:47 time: 0.7907 data_time: 0.0304 memory: 11099 loss: 0.6129 loss_rpn_cls: 0.0319 loss_rpn_bbox: 0.0334 loss_cls: 0.1563 acc: 79.6875 loss_bbox: 0.1968 loss_mask: 0.1946 +2024/01/16 08:16:04 - mmengine - INFO - Epoch(train) [11][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:42:06 time: 0.7784 data_time: 0.0331 memory: 10545 loss: 0.6207 loss_rpn_cls: 0.0409 loss_rpn_bbox: 0.0358 loss_cls: 0.1530 acc: 99.0234 loss_bbox: 0.1931 loss_mask: 0.1979 +2024/01/16 08:16:44 - mmengine - INFO - Epoch(train) [11][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:41:28 time: 0.8077 data_time: 0.0345 memory: 10067 loss: 0.6570 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0348 loss_cls: 0.1692 acc: 99.6094 loss_bbox: 0.2306 loss_mask: 0.2011 +2024/01/16 08:17:25 - mmengine - INFO - Epoch(train) [11][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:40:50 time: 0.8056 data_time: 0.0385 memory: 11051 loss: 0.5861 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0276 loss_cls: 0.1506 acc: 99.0234 loss_bbox: 0.2042 loss_mask: 0.1858 +2024/01/16 08:18:04 - mmengine - INFO - Epoch(train) [11][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:40:10 time: 0.7885 data_time: 0.0338 memory: 10572 loss: 0.6257 loss_rpn_cls: 0.0329 loss_rpn_bbox: 0.0341 loss_cls: 0.1690 acc: 87.6953 loss_bbox: 0.2021 loss_mask: 0.1875 +2024/01/16 08:18:44 - mmengine - INFO - Epoch(train) [11][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:39:30 time: 0.7913 data_time: 0.0391 memory: 11517 loss: 0.6800 loss_rpn_cls: 0.0322 loss_rpn_bbox: 0.0412 loss_cls: 0.1712 acc: 93.1641 loss_bbox: 0.2269 loss_mask: 0.2084 +2024/01/16 08:19:23 - mmengine - INFO - Epoch(train) [11][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:38:49 time: 0.7792 data_time: 0.0319 memory: 9737 loss: 0.6418 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0290 loss_cls: 0.1814 acc: 93.5547 loss_bbox: 0.2167 loss_mask: 0.1957 +2024/01/16 08:20:02 - mmengine - INFO - Epoch(train) [11][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:38:09 time: 0.7898 data_time: 0.0288 memory: 10568 loss: 0.5341 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0344 loss_cls: 0.1309 acc: 82.8125 loss_bbox: 0.1807 loss_mask: 0.1672 +2024/01/16 08:20:42 - mmengine - INFO - Epoch(train) [11][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:37:30 time: 0.7971 data_time: 0.0325 memory: 9570 loss: 0.6352 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0391 loss_cls: 0.1689 acc: 99.4141 loss_bbox: 0.2026 loss_mask: 0.1999 +2024/01/16 08:21:21 - mmengine - INFO - Epoch(train) [11][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:36:49 time: 0.7810 data_time: 0.0367 memory: 10572 loss: 0.7210 loss_rpn_cls: 0.0303 loss_rpn_bbox: 0.0445 loss_cls: 0.1814 acc: 93.9453 loss_bbox: 0.2387 loss_mask: 0.2261 +2024/01/16 08:22:01 - mmengine - INFO - Epoch(train) [11][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:36:10 time: 0.7996 data_time: 0.0342 memory: 9800 loss: 0.6409 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0346 loss_cls: 0.1604 acc: 96.8750 loss_bbox: 0.2152 loss_mask: 0.2065 +2024/01/16 08:22:40 - mmengine - INFO - Epoch(train) [11][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:35:30 time: 0.7830 data_time: 0.0301 memory: 10572 loss: 0.5630 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0268 loss_cls: 0.1533 acc: 90.0391 loss_bbox: 0.1855 loss_mask: 0.1778 +2024/01/16 08:23:20 - mmengine - INFO - Epoch(train) [11][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:34:51 time: 0.7989 data_time: 0.0316 memory: 9947 loss: 0.6680 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0291 loss_cls: 0.1815 acc: 88.8672 loss_bbox: 0.2319 loss_mask: 0.2074 +2024/01/16 08:23:59 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 08:23:59 - mmengine - INFO - Epoch(train) [11][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:34:09 time: 0.7772 data_time: 0.0317 memory: 9808 loss: 0.6059 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0335 loss_cls: 0.1483 acc: 95.5078 loss_bbox: 0.2004 loss_mask: 0.1976 +2024/01/16 08:24:39 - mmengine - INFO - Epoch(train) [11][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:33:31 time: 0.7997 data_time: 0.0365 memory: 10562 loss: 0.6475 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0350 loss_cls: 0.1538 acc: 96.2891 loss_bbox: 0.2014 loss_mask: 0.2301 +2024/01/16 08:25:19 - mmengine - INFO - Epoch(train) [11][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:32:51 time: 0.7968 data_time: 0.0310 memory: 10152 loss: 0.6102 loss_rpn_cls: 0.0335 loss_rpn_bbox: 0.0377 loss_cls: 0.1546 acc: 92.1875 loss_bbox: 0.1943 loss_mask: 0.1901 +2024/01/16 08:25:59 - mmengine - INFO - Epoch(train) [11][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:32:13 time: 0.8018 data_time: 0.0382 memory: 10572 loss: 0.8615 loss_rpn_cls: 0.0378 loss_rpn_bbox: 0.0493 loss_cls: 0.2306 acc: 99.6094 loss_bbox: 0.2977 loss_mask: 0.2461 +2024/01/16 08:26:38 - mmengine - INFO - Epoch(train) [11][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:31:32 time: 0.7803 data_time: 0.0308 memory: 10067 loss: 0.6296 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0326 loss_cls: 0.1753 acc: 79.6875 loss_bbox: 0.2100 loss_mask: 0.1905 +2024/01/16 08:27:18 - mmengine - INFO - Epoch(train) [11][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:30:54 time: 0.8073 data_time: 0.0272 memory: 10080 loss: 0.5296 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0212 loss_cls: 0.1460 acc: 99.2188 loss_bbox: 0.1719 loss_mask: 0.1755 +2024/01/16 08:27:58 - mmengine - INFO - Epoch(train) [11][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:30:15 time: 0.7938 data_time: 0.0381 memory: 10299 loss: 0.6588 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0286 loss_cls: 0.1849 acc: 99.4141 loss_bbox: 0.2258 loss_mask: 0.1988 +2024/01/16 08:28:37 - mmengine - INFO - Epoch(train) [11][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:29:34 time: 0.7860 data_time: 0.0310 memory: 9736 loss: 0.7241 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0355 loss_cls: 0.2011 acc: 90.6250 loss_bbox: 0.2399 loss_mask: 0.2209 +2024/01/16 08:29:17 - mmengine - INFO - Epoch(train) [11][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:28:54 time: 0.7840 data_time: 0.0335 memory: 9684 loss: 0.6579 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0327 loss_cls: 0.1632 acc: 96.2891 loss_bbox: 0.2115 loss_mask: 0.2289 +2024/01/16 08:29:56 - mmengine - INFO - Epoch(train) [11][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:28:13 time: 0.7827 data_time: 0.0351 memory: 10239 loss: 0.6966 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0328 loss_cls: 0.1885 acc: 91.4062 loss_bbox: 0.2424 loss_mask: 0.2134 +2024/01/16 08:30:35 - mmengine - INFO - Epoch(train) [11][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:27:32 time: 0.7815 data_time: 0.0325 memory: 10612 loss: 0.6377 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0331 loss_cls: 0.1745 acc: 91.2109 loss_bbox: 0.2139 loss_mask: 0.1878 +2024/01/16 08:31:15 - mmengine - INFO - Epoch(train) [11][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:26:54 time: 0.8082 data_time: 0.0313 memory: 10568 loss: 0.5654 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0230 loss_cls: 0.1485 acc: 97.4609 loss_bbox: 0.1884 loss_mask: 0.1931 +2024/01/16 08:31:55 - mmengine - INFO - Epoch(train) [11][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:26:14 time: 0.7881 data_time: 0.0349 memory: 9599 loss: 0.6158 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0268 loss_cls: 0.1549 acc: 87.6953 loss_bbox: 0.1983 loss_mask: 0.2196 +2024/01/16 08:32:35 - mmengine - INFO - Epoch(train) [11][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:25:36 time: 0.8029 data_time: 0.0303 memory: 10572 loss: 0.6286 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0307 loss_cls: 0.1603 acc: 99.8047 loss_bbox: 0.2077 loss_mask: 0.2016 +2024/01/16 08:33:15 - mmengine - INFO - Epoch(train) [11][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:24:57 time: 0.7982 data_time: 0.0308 memory: 10357 loss: 0.6245 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0331 loss_cls: 0.1586 acc: 93.3594 loss_bbox: 0.2020 loss_mask: 0.2136 +2024/01/16 08:33:54 - mmengine - INFO - Epoch(train) [11][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:24:17 time: 0.7915 data_time: 0.0297 memory: 9459 loss: 0.5344 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0228 loss_cls: 0.1373 acc: 99.4141 loss_bbox: 0.1778 loss_mask: 0.1802 +2024/01/16 08:34:34 - mmengine - INFO - Epoch(train) [11][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:23:37 time: 0.7834 data_time: 0.0303 memory: 10412 loss: 0.5765 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0252 loss_cls: 0.1433 acc: 88.2812 loss_bbox: 0.1944 loss_mask: 0.1960 +2024/01/16 08:35:12 - mmengine - INFO - Epoch(train) [11][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:22:54 time: 0.7654 data_time: 0.0332 memory: 9622 loss: 0.6540 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0421 loss_cls: 0.1651 acc: 95.7031 loss_bbox: 0.2104 loss_mask: 0.2083 +2024/01/16 08:35:52 - mmengine - INFO - Epoch(train) [11][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:22:15 time: 0.7964 data_time: 0.0335 memory: 10207 loss: 0.6006 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0333 loss_cls: 0.1583 acc: 96.8750 loss_bbox: 0.1909 loss_mask: 0.1900 +2024/01/16 08:36:32 - mmengine - INFO - Epoch(train) [11][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:21:36 time: 0.8012 data_time: 0.0358 memory: 9417 loss: 0.6826 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0382 loss_cls: 0.1941 acc: 83.3984 loss_bbox: 0.2167 loss_mask: 0.2086 +2024/01/16 08:37:11 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 08:37:11 - mmengine - INFO - Epoch(train) [11][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:20:56 time: 0.7857 data_time: 0.0291 memory: 10361 loss: 0.5210 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0171 loss_cls: 0.1284 acc: 94.7266 loss_bbox: 0.1815 loss_mask: 0.1802 +2024/01/16 08:37:51 - mmengine - INFO - Epoch(train) [11][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:20:17 time: 0.7980 data_time: 0.0366 memory: 10168 loss: 0.6592 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0361 loss_cls: 0.1771 acc: 99.2188 loss_bbox: 0.2070 loss_mask: 0.2112 +2024/01/16 08:38:30 - mmengine - INFO - Epoch(train) [11][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:19:36 time: 0.7878 data_time: 0.0344 memory: 9094 loss: 0.6969 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0345 loss_cls: 0.2102 acc: 94.9219 loss_bbox: 0.2190 loss_mask: 0.2063 +2024/01/16 08:39:10 - mmengine - INFO - Epoch(train) [11][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:18:56 time: 0.7820 data_time: 0.0279 memory: 10568 loss: 0.6272 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0234 loss_cls: 0.1653 acc: 99.4141 loss_bbox: 0.2164 loss_mask: 0.2066 +2024/01/16 08:39:49 - mmengine - INFO - Epoch(train) [11][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:18:16 time: 0.7888 data_time: 0.0301 memory: 9599 loss: 0.6548 loss_rpn_cls: 0.0302 loss_rpn_bbox: 0.0317 loss_cls: 0.1686 acc: 99.8047 loss_bbox: 0.2166 loss_mask: 0.2076 +2024/01/16 08:40:28 - mmengine - INFO - Epoch(train) [11][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:17:35 time: 0.7848 data_time: 0.0338 memory: 9570 loss: 0.6020 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0318 loss_cls: 0.1436 acc: 91.6016 loss_bbox: 0.2044 loss_mask: 0.1982 +2024/01/16 08:41:07 - mmengine - INFO - Epoch(train) [11][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:16:54 time: 0.7841 data_time: 0.0377 memory: 10388 loss: 0.6932 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0281 loss_cls: 0.1867 acc: 84.1797 loss_bbox: 0.2423 loss_mask: 0.2149 +2024/01/16 08:41:47 - mmengine - INFO - Epoch(train) [11][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:16:15 time: 0.7928 data_time: 0.0337 memory: 10066 loss: 0.6744 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0349 loss_cls: 0.1795 acc: 98.8281 loss_bbox: 0.2279 loss_mask: 0.2160 +2024/01/16 08:42:27 - mmengine - INFO - Epoch(train) [11][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:15:35 time: 0.7885 data_time: 0.0300 memory: 9123 loss: 0.6120 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0375 loss_cls: 0.1574 acc: 96.6797 loss_bbox: 0.2031 loss_mask: 0.1942 +2024/01/16 08:43:06 - mmengine - INFO - Epoch(train) [11][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:14:56 time: 0.7968 data_time: 0.0370 memory: 10350 loss: 0.6425 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0378 loss_cls: 0.1635 acc: 99.8047 loss_bbox: 0.2200 loss_mask: 0.1999 +2024/01/16 08:43:46 - mmengine - INFO - Epoch(train) [11][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:14:16 time: 0.7891 data_time: 0.0306 memory: 10179 loss: 0.5899 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0267 loss_cls: 0.1509 acc: 87.5000 loss_bbox: 0.1827 loss_mask: 0.2098 +2024/01/16 08:44:26 - mmengine - INFO - Epoch(train) [11][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:13:36 time: 0.7952 data_time: 0.0337 memory: 10986 loss: 0.6667 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0421 loss_cls: 0.1836 acc: 92.1875 loss_bbox: 0.2081 loss_mask: 0.2049 +2024/01/16 08:45:06 - mmengine - INFO - Epoch(train) [11][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:12:58 time: 0.8009 data_time: 0.0321 memory: 9180 loss: 0.7061 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0323 loss_cls: 0.2015 acc: 93.7500 loss_bbox: 0.2343 loss_mask: 0.2139 +2024/01/16 08:45:45 - mmengine - INFO - Epoch(train) [11][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:12:18 time: 0.7925 data_time: 0.0366 memory: 9478 loss: 0.6857 loss_rpn_cls: 0.0308 loss_rpn_bbox: 0.0435 loss_cls: 0.1826 acc: 90.2344 loss_bbox: 0.2274 loss_mask: 0.2015 +2024/01/16 08:46:25 - mmengine - INFO - Epoch(train) [11][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:11:38 time: 0.7879 data_time: 0.0375 memory: 9574 loss: 0.7263 loss_rpn_cls: 0.0320 loss_rpn_bbox: 0.0407 loss_cls: 0.1863 acc: 95.5078 loss_bbox: 0.2289 loss_mask: 0.2383 +2024/01/16 08:47:05 - mmengine - INFO - Epoch(train) [11][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:10:59 time: 0.7949 data_time: 0.0328 memory: 10898 loss: 0.6677 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0334 loss_cls: 0.1748 acc: 98.8281 loss_bbox: 0.2152 loss_mask: 0.2180 +2024/01/16 08:47:44 - mmengine - INFO - Epoch(train) [11][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:10:20 time: 0.7983 data_time: 0.0287 memory: 9601 loss: 0.5504 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0312 loss_cls: 0.1355 acc: 95.5078 loss_bbox: 0.1796 loss_mask: 0.1865 +2024/01/16 08:48:25 - mmengine - INFO - Epoch(train) [11][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:09:42 time: 0.8046 data_time: 0.0296 memory: 10067 loss: 0.6164 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0319 loss_cls: 0.1628 acc: 98.4375 loss_bbox: 0.2076 loss_mask: 0.1933 +2024/01/16 08:49:05 - mmengine - INFO - Epoch(train) [11][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:09:04 time: 0.8064 data_time: 0.0347 memory: 10067 loss: 0.6700 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0375 loss_cls: 0.1613 acc: 98.2422 loss_bbox: 0.2251 loss_mask: 0.2288 +2024/01/16 08:49:45 - mmengine - INFO - Epoch(train) [11][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:08:25 time: 0.7973 data_time: 0.0383 memory: 10360 loss: 0.6727 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0353 loss_cls: 0.1835 acc: 99.4141 loss_bbox: 0.2187 loss_mask: 0.2037 +2024/01/16 08:50:24 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 08:50:24 - mmengine - INFO - Epoch(train) [11][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:07:44 time: 0.7777 data_time: 0.0335 memory: 10067 loss: 0.6907 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0335 loss_cls: 0.1904 acc: 83.3984 loss_bbox: 0.2380 loss_mask: 0.2063 +2024/01/16 08:51:03 - mmengine - INFO - Epoch(train) [11][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:07:03 time: 0.7857 data_time: 0.0331 memory: 10126 loss: 0.6530 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0346 loss_cls: 0.1785 acc: 91.0156 loss_bbox: 0.2087 loss_mask: 0.2077 +2024/01/16 08:51:43 - mmengine - INFO - Epoch(train) [11][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:06:24 time: 0.7993 data_time: 0.0351 memory: 10572 loss: 0.5783 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0321 loss_cls: 0.1369 acc: 94.7266 loss_bbox: 0.1932 loss_mask: 0.1947 +2024/01/16 08:52:23 - mmengine - INFO - Epoch(train) [11][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:05:45 time: 0.7920 data_time: 0.0396 memory: 9799 loss: 0.6857 loss_rpn_cls: 0.0323 loss_rpn_bbox: 0.0382 loss_cls: 0.1912 acc: 84.5703 loss_bbox: 0.2227 loss_mask: 0.2013 +2024/01/16 08:53:02 - mmengine - INFO - Epoch(train) [11][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:05:05 time: 0.7884 data_time: 0.0387 memory: 10498 loss: 0.7016 loss_rpn_cls: 0.0357 loss_rpn_bbox: 0.0439 loss_cls: 0.1752 acc: 99.0234 loss_bbox: 0.2374 loss_mask: 0.2095 +2024/01/16 08:53:42 - mmengine - INFO - Epoch(train) [11][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:04:26 time: 0.7988 data_time: 0.0325 memory: 10572 loss: 0.6440 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0375 loss_cls: 0.1802 acc: 96.6797 loss_bbox: 0.2099 loss_mask: 0.1937 +2024/01/16 08:54:21 - mmengine - INFO - Epoch(train) [11][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:03:45 time: 0.7840 data_time: 0.0295 memory: 11183 loss: 0.5884 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0334 loss_cls: 0.1538 acc: 93.1641 loss_bbox: 0.1957 loss_mask: 0.1855 +2024/01/16 08:55:00 - mmengine - INFO - Epoch(train) [11][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:03:04 time: 0.7752 data_time: 0.0428 memory: 10572 loss: 0.6909 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0418 loss_cls: 0.1939 acc: 91.4062 loss_bbox: 0.2341 loss_mask: 0.1942 +2024/01/16 08:55:40 - mmengine - INFO - Epoch(train) [11][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:02:25 time: 0.8018 data_time: 0.0308 memory: 10587 loss: 0.5882 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0289 loss_cls: 0.1492 acc: 99.2188 loss_bbox: 0.2013 loss_mask: 0.1918 +2024/01/16 08:56:20 - mmengine - INFO - Epoch(train) [11][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:01:46 time: 0.8007 data_time: 0.0312 memory: 10253 loss: 0.6292 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0301 loss_cls: 0.1591 acc: 97.6562 loss_bbox: 0.2178 loss_mask: 0.2025 +2024/01/16 08:56:59 - mmengine - INFO - Epoch(train) [11][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:01:06 time: 0.7827 data_time: 0.0300 memory: 9814 loss: 0.6415 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0323 loss_cls: 0.1588 acc: 98.6328 loss_bbox: 0.2198 loss_mask: 0.2146 +2024/01/16 08:57:39 - mmengine - INFO - Epoch(train) [11][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 17:00:25 time: 0.7838 data_time: 0.0289 memory: 11092 loss: 0.6282 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0307 loss_cls: 0.1564 acc: 95.8984 loss_bbox: 0.2156 loss_mask: 0.2007 +2024/01/16 08:58:19 - mmengine - INFO - Epoch(train) [11][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:59:47 time: 0.8017 data_time: 0.0342 memory: 10067 loss: 0.6396 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0347 loss_cls: 0.1784 acc: 94.3359 loss_bbox: 0.2061 loss_mask: 0.1994 +2024/01/16 08:58:58 - mmengine - INFO - Epoch(train) [11][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:59:06 time: 0.7831 data_time: 0.0324 memory: 9949 loss: 0.5756 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0292 loss_cls: 0.1501 acc: 93.9453 loss_bbox: 0.1757 loss_mask: 0.2045 +2024/01/16 08:59:37 - mmengine - INFO - Epoch(train) [11][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:58:26 time: 0.7874 data_time: 0.0287 memory: 10572 loss: 0.5802 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0289 loss_cls: 0.1490 acc: 99.0234 loss_bbox: 0.1930 loss_mask: 0.1893 +2024/01/16 09:00:18 - mmengine - INFO - Epoch(train) [11][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:57:48 time: 0.8085 data_time: 0.0322 memory: 10678 loss: 0.6709 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0289 loss_cls: 0.1804 acc: 91.6016 loss_bbox: 0.2332 loss_mask: 0.2023 +2024/01/16 09:00:58 - mmengine - INFO - Epoch(train) [11][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:57:10 time: 0.8042 data_time: 0.0275 memory: 10714 loss: 0.6216 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0313 loss_cls: 0.1708 acc: 92.7734 loss_bbox: 0.2038 loss_mask: 0.1919 +2024/01/16 09:01:37 - mmengine - INFO - Epoch(train) [11][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:56:30 time: 0.7880 data_time: 0.0274 memory: 10242 loss: 0.5540 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0272 loss_cls: 0.1343 acc: 97.2656 loss_bbox: 0.1782 loss_mask: 0.1938 +2024/01/16 09:02:17 - mmengine - INFO - Epoch(train) [11][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:55:50 time: 0.7913 data_time: 0.0360 memory: 10205 loss: 0.6868 loss_rpn_cls: 0.0485 loss_rpn_bbox: 0.0386 loss_cls: 0.1810 acc: 90.6250 loss_bbox: 0.2204 loss_mask: 0.1983 +2024/01/16 09:02:57 - mmengine - INFO - Epoch(train) [11][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:55:11 time: 0.7962 data_time: 0.0374 memory: 10568 loss: 0.6698 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0421 loss_cls: 0.1853 acc: 94.3359 loss_bbox: 0.2085 loss_mask: 0.2053 +2024/01/16 09:03:37 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 09:03:37 - mmengine - INFO - Epoch(train) [11][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:54:32 time: 0.7987 data_time: 0.0273 memory: 10582 loss: 0.5800 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0242 loss_cls: 0.1425 acc: 99.6094 loss_bbox: 0.1838 loss_mask: 0.2131 +2024/01/16 09:04:16 - mmengine - INFO - Epoch(train) [11][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:53:53 time: 0.7971 data_time: 0.0344 memory: 10067 loss: 0.7251 loss_rpn_cls: 0.0311 loss_rpn_bbox: 0.0357 loss_cls: 0.2066 acc: 99.8047 loss_bbox: 0.2371 loss_mask: 0.2145 +2024/01/16 09:04:55 - mmengine - INFO - Epoch(train) [11][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:53:11 time: 0.7737 data_time: 0.0302 memory: 10568 loss: 0.6705 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0293 loss_cls: 0.1745 acc: 95.3125 loss_bbox: 0.2264 loss_mask: 0.2127 +2024/01/16 09:05:35 - mmengine - INFO - Epoch(train) [11][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:52:32 time: 0.7955 data_time: 0.0313 memory: 10568 loss: 0.6772 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0383 loss_cls: 0.1774 acc: 99.6094 loss_bbox: 0.2181 loss_mask: 0.2179 +2024/01/16 09:06:15 - mmengine - INFO - Epoch(train) [11][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:51:54 time: 0.8091 data_time: 0.0291 memory: 10463 loss: 0.6295 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0251 loss_cls: 0.1638 acc: 98.6328 loss_bbox: 0.2217 loss_mask: 0.2001 +2024/01/16 09:06:55 - mmengine - INFO - Epoch(train) [11][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:51:15 time: 0.7968 data_time: 0.0366 memory: 10541 loss: 0.7475 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0390 loss_cls: 0.1916 acc: 92.1875 loss_bbox: 0.2503 loss_mask: 0.2406 +2024/01/16 09:07:35 - mmengine - INFO - Epoch(train) [11][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:50:36 time: 0.7966 data_time: 0.0307 memory: 10295 loss: 0.6190 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0304 loss_cls: 0.1523 acc: 97.0703 loss_bbox: 0.1925 loss_mask: 0.2202 +2024/01/16 09:08:14 - mmengine - INFO - Epoch(train) [11][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:49:55 time: 0.7802 data_time: 0.0357 memory: 8963 loss: 0.6941 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0341 loss_cls: 0.1767 acc: 94.1406 loss_bbox: 0.2323 loss_mask: 0.2286 +2024/01/16 09:08:54 - mmengine - INFO - Epoch(train) [11][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:49:16 time: 0.7943 data_time: 0.0335 memory: 10572 loss: 0.6817 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0354 loss_cls: 0.1823 acc: 99.8047 loss_bbox: 0.2420 loss_mask: 0.1989 +2024/01/16 09:09:34 - mmengine - INFO - Epoch(train) [11][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:48:37 time: 0.7991 data_time: 0.0280 memory: 11413 loss: 0.5189 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0241 loss_cls: 0.1450 acc: 100.0000 loss_bbox: 0.1645 loss_mask: 0.1676 +2024/01/16 09:10:14 - mmengine - INFO - Epoch(train) [11][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:47:58 time: 0.7987 data_time: 0.0338 memory: 10067 loss: 0.6540 loss_rpn_cls: 0.0271 loss_rpn_bbox: 0.0376 loss_cls: 0.1644 acc: 84.9609 loss_bbox: 0.2302 loss_mask: 0.1947 +2024/01/16 09:10:54 - mmengine - INFO - Epoch(train) [11][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:47:19 time: 0.8001 data_time: 0.0344 memory: 10067 loss: 0.6715 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0281 loss_cls: 0.1686 acc: 96.0938 loss_bbox: 0.2295 loss_mask: 0.2290 +2024/01/16 09:11:33 - mmengine - INFO - Epoch(train) [11][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:46:39 time: 0.7870 data_time: 0.0326 memory: 10572 loss: 0.7538 loss_rpn_cls: 0.0381 loss_rpn_bbox: 0.0406 loss_cls: 0.1977 acc: 99.6094 loss_bbox: 0.2592 loss_mask: 0.2181 +2024/01/16 09:12:13 - mmengine - INFO - Epoch(train) [11][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:45:59 time: 0.7895 data_time: 0.0300 memory: 10207 loss: 0.5866 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0295 loss_cls: 0.1454 acc: 92.5781 loss_bbox: 0.1939 loss_mask: 0.1957 +2024/01/16 09:12:52 - mmengine - INFO - Epoch(train) [11][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:45:20 time: 0.7932 data_time: 0.0308 memory: 10715 loss: 0.6286 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0328 loss_cls: 0.1644 acc: 100.0000 loss_bbox: 0.2004 loss_mask: 0.2062 +2024/01/16 09:13:32 - mmengine - INFO - Epoch(train) [11][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:44:39 time: 0.7855 data_time: 0.0350 memory: 9396 loss: 0.7522 loss_rpn_cls: 0.0298 loss_rpn_bbox: 0.0383 loss_cls: 0.2144 acc: 93.5547 loss_bbox: 0.2488 loss_mask: 0.2209 +2024/01/16 09:14:11 - mmengine - INFO - Epoch(train) [11][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:44:00 time: 0.7978 data_time: 0.0333 memory: 10572 loss: 0.7133 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0354 loss_cls: 0.1830 acc: 96.0938 loss_bbox: 0.2488 loss_mask: 0.2177 +2024/01/16 09:14:51 - mmengine - INFO - Epoch(train) [11][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:43:21 time: 0.7983 data_time: 0.0360 memory: 10408 loss: 0.7195 loss_rpn_cls: 0.0332 loss_rpn_bbox: 0.0384 loss_cls: 0.1925 acc: 96.0938 loss_bbox: 0.2449 loss_mask: 0.2107 +2024/01/16 09:15:31 - mmengine - INFO - Epoch(train) [11][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:42:43 time: 0.8009 data_time: 0.0369 memory: 10583 loss: 0.7431 loss_rpn_cls: 0.0336 loss_rpn_bbox: 0.0447 loss_cls: 0.2058 acc: 99.8047 loss_bbox: 0.2325 loss_mask: 0.2265 +2024/01/16 09:16:11 - mmengine - INFO - Epoch(train) [11][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:42:03 time: 0.7895 data_time: 0.0333 memory: 10097 loss: 0.6748 loss_rpn_cls: 0.0291 loss_rpn_bbox: 0.0320 loss_cls: 0.1832 acc: 90.4297 loss_bbox: 0.2166 loss_mask: 0.2139 +2024/01/16 09:16:50 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 09:16:50 - mmengine - INFO - Epoch(train) [11][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:41:23 time: 0.7900 data_time: 0.0294 memory: 11173 loss: 0.6154 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0270 loss_cls: 0.1705 acc: 98.2422 loss_bbox: 0.1978 loss_mask: 0.2008 +2024/01/16 09:17:30 - mmengine - INFO - Epoch(train) [11][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:40:44 time: 0.7978 data_time: 0.0308 memory: 9798 loss: 0.6535 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0320 loss_cls: 0.1661 acc: 79.8828 loss_bbox: 0.2164 loss_mask: 0.2130 +2024/01/16 09:18:10 - mmengine - INFO - Epoch(train) [11][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:40:04 time: 0.7936 data_time: 0.0285 memory: 9180 loss: 0.5778 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0247 loss_cls: 0.1667 acc: 99.4141 loss_bbox: 0.1879 loss_mask: 0.1786 +2024/01/16 09:18:49 - mmengine - INFO - Epoch(train) [11][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:39:24 time: 0.7843 data_time: 0.0321 memory: 10124 loss: 0.6358 loss_rpn_cls: 0.0400 loss_rpn_bbox: 0.0375 loss_cls: 0.1595 acc: 99.8047 loss_bbox: 0.1895 loss_mask: 0.2093 +2024/01/16 09:19:30 - mmengine - INFO - Epoch(train) [11][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:38:46 time: 0.8092 data_time: 0.0301 memory: 10986 loss: 0.6588 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0268 loss_cls: 0.1539 acc: 93.1641 loss_bbox: 0.2039 loss_mask: 0.2552 +2024/01/16 09:20:09 - mmengine - INFO - Epoch(train) [11][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:38:06 time: 0.7848 data_time: 0.0284 memory: 9253 loss: 0.5841 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0241 loss_cls: 0.1417 acc: 100.0000 loss_bbox: 0.1923 loss_mask: 0.2104 +2024/01/16 09:20:48 - mmengine - INFO - Epoch(train) [11][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:37:25 time: 0.7829 data_time: 0.0308 memory: 9849 loss: 0.5719 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0213 loss_cls: 0.1511 acc: 93.5547 loss_bbox: 0.1879 loss_mask: 0.1962 +2024/01/16 09:21:28 - mmengine - INFO - Epoch(train) [11][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:36:46 time: 0.7976 data_time: 0.0283 memory: 10067 loss: 0.5415 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0270 loss_cls: 0.1391 acc: 99.0234 loss_bbox: 0.1771 loss_mask: 0.1728 +2024/01/16 09:22:08 - mmengine - INFO - Epoch(train) [11][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:36:06 time: 0.7893 data_time: 0.0356 memory: 10063 loss: 0.6333 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0276 loss_cls: 0.1629 acc: 98.2422 loss_bbox: 0.2057 loss_mask: 0.2145 +2024/01/16 09:22:47 - mmengine - INFO - Epoch(train) [11][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:35:25 time: 0.7815 data_time: 0.0340 memory: 9253 loss: 0.6423 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0347 loss_cls: 0.1731 acc: 99.6094 loss_bbox: 0.2190 loss_mask: 0.2016 +2024/01/16 09:23:26 - mmengine - INFO - Epoch(train) [11][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:34:45 time: 0.7848 data_time: 0.0355 memory: 10404 loss: 0.6928 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0413 loss_cls: 0.1881 acc: 98.6328 loss_bbox: 0.2247 loss_mask: 0.2154 +2024/01/16 09:24:05 - mmengine - INFO - Epoch(train) [11][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:34:04 time: 0.7875 data_time: 0.0305 memory: 9594 loss: 0.6438 loss_rpn_cls: 0.0291 loss_rpn_bbox: 0.0329 loss_cls: 0.1593 acc: 91.9922 loss_bbox: 0.2130 loss_mask: 0.2095 +2024/01/16 09:24:45 - mmengine - INFO - Epoch(train) [11][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:33:25 time: 0.7905 data_time: 0.0325 memory: 10552 loss: 0.6025 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0285 loss_cls: 0.1490 acc: 95.1172 loss_bbox: 0.1933 loss_mask: 0.2143 +2024/01/16 09:25:25 - mmengine - INFO - Epoch(train) [11][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:32:45 time: 0.7942 data_time: 0.0312 memory: 10035 loss: 0.5529 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0261 loss_cls: 0.1459 acc: 97.6562 loss_bbox: 0.1706 loss_mask: 0.1933 +2024/01/16 09:26:04 - mmengine - INFO - Epoch(train) [11][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:32:06 time: 0.7951 data_time: 0.0321 memory: 10572 loss: 0.6889 loss_rpn_cls: 0.0335 loss_rpn_bbox: 0.0377 loss_cls: 0.1877 acc: 99.6094 loss_bbox: 0.2240 loss_mask: 0.2060 +2024/01/16 09:26:44 - mmengine - INFO - Epoch(train) [11][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:31:27 time: 0.8010 data_time: 0.0251 memory: 9580 loss: 0.5190 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0226 loss_cls: 0.1446 acc: 88.0859 loss_bbox: 0.1582 loss_mask: 0.1719 +2024/01/16 09:27:23 - mmengine - INFO - Epoch(train) [11][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:30:46 time: 0.7804 data_time: 0.0337 memory: 11099 loss: 0.6601 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0352 loss_cls: 0.1683 acc: 96.0938 loss_bbox: 0.2359 loss_mask: 0.1963 +2024/01/16 09:28:03 - mmengine - INFO - Epoch(train) [11][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:30:08 time: 0.8011 data_time: 0.0360 memory: 9684 loss: 0.7111 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0389 loss_cls: 0.1951 acc: 83.2031 loss_bbox: 0.2333 loss_mask: 0.2206 +2024/01/16 09:28:43 - mmengine - INFO - Epoch(train) [11][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:29:29 time: 0.7990 data_time: 0.0343 memory: 9800 loss: 0.5712 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0278 loss_cls: 0.1465 acc: 95.1172 loss_bbox: 0.1818 loss_mask: 0.1895 +2024/01/16 09:29:23 - mmengine - INFO - Epoch(train) [11][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:28:49 time: 0.7867 data_time: 0.0352 memory: 10595 loss: 0.6579 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0332 loss_cls: 0.1745 acc: 99.6094 loss_bbox: 0.2125 loss_mask: 0.2120 +2024/01/16 09:30:03 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 09:30:03 - mmengine - INFO - Epoch(train) [11][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:28:10 time: 0.7996 data_time: 0.0343 memory: 10568 loss: 0.7372 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0336 loss_cls: 0.2073 acc: 84.5703 loss_bbox: 0.2352 loss_mask: 0.2321 +2024/01/16 09:30:42 - mmengine - INFO - Epoch(train) [11][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:27:29 time: 0.7799 data_time: 0.0268 memory: 9739 loss: 0.6170 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0333 loss_cls: 0.1634 acc: 97.8516 loss_bbox: 0.1948 loss_mask: 0.1993 +2024/01/16 09:31:21 - mmengine - INFO - Epoch(train) [11][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:26:49 time: 0.7934 data_time: 0.0337 memory: 10572 loss: 0.6377 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0380 loss_cls: 0.1610 acc: 82.8125 loss_bbox: 0.2099 loss_mask: 0.2093 +2024/01/16 09:32:01 - mmengine - INFO - Epoch(train) [11][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:26:10 time: 0.7958 data_time: 0.0333 memory: 9598 loss: 0.7719 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0425 loss_cls: 0.1991 acc: 93.7500 loss_bbox: 0.2559 loss_mask: 0.2475 +2024/01/16 09:32:41 - mmengine - INFO - Epoch(train) [11][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:25:30 time: 0.7908 data_time: 0.0312 memory: 9737 loss: 0.6387 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0332 loss_cls: 0.1774 acc: 96.0938 loss_bbox: 0.2186 loss_mask: 0.1895 +2024/01/16 09:33:20 - mmengine - INFO - Epoch(train) [11][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:24:49 time: 0.7796 data_time: 0.0331 memory: 9800 loss: 0.7404 loss_rpn_cls: 0.0310 loss_rpn_bbox: 0.0332 loss_cls: 0.1918 acc: 85.7422 loss_bbox: 0.2388 loss_mask: 0.2456 +2024/01/16 09:33:59 - mmengine - INFO - Epoch(train) [11][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:24:10 time: 0.7909 data_time: 0.0328 memory: 10292 loss: 0.6220 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0290 loss_cls: 0.1507 acc: 96.4844 loss_bbox: 0.2129 loss_mask: 0.2050 +2024/01/16 09:34:39 - mmengine - INFO - Epoch(train) [11][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:23:30 time: 0.7909 data_time: 0.0334 memory: 10572 loss: 0.7018 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0406 loss_cls: 0.1921 acc: 100.0000 loss_bbox: 0.2357 loss_mask: 0.2020 +2024/01/16 09:35:18 - mmengine - INFO - Epoch(train) [11][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:22:49 time: 0.7808 data_time: 0.0328 memory: 10098 loss: 0.7120 loss_rpn_cls: 0.0408 loss_rpn_bbox: 0.0387 loss_cls: 0.2004 acc: 96.2891 loss_bbox: 0.2300 loss_mask: 0.2020 +2024/01/16 09:35:58 - mmengine - INFO - Epoch(train) [11][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:22:09 time: 0.7924 data_time: 0.0348 memory: 9737 loss: 0.6063 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0270 loss_cls: 0.1600 acc: 99.4141 loss_bbox: 0.2024 loss_mask: 0.1999 +2024/01/16 09:36:37 - mmengine - INFO - Epoch(train) [11][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:21:30 time: 0.7918 data_time: 0.0318 memory: 10120 loss: 0.5458 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0236 loss_cls: 0.1315 acc: 100.0000 loss_bbox: 0.1800 loss_mask: 0.1923 +2024/01/16 09:37:16 - mmengine - INFO - Epoch(train) [11][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:20:48 time: 0.7777 data_time: 0.0295 memory: 10568 loss: 0.6810 loss_rpn_cls: 0.0271 loss_rpn_bbox: 0.0371 loss_cls: 0.1929 acc: 89.6484 loss_bbox: 0.2199 loss_mask: 0.2040 +2024/01/16 09:37:55 - mmengine - INFO - Epoch(train) [11][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:20:08 time: 0.7853 data_time: 0.0344 memory: 9169 loss: 0.7042 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0402 loss_cls: 0.1926 acc: 96.6797 loss_bbox: 0.2269 loss_mask: 0.2113 +2024/01/16 09:38:19 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 09:38:19 - mmengine - INFO - Saving checkpoint at 11 epochs +2024/01/16 09:38:33 - mmengine - INFO - Epoch(val) [11][ 50/313] eta: 0:00:51 time: 0.1946 data_time: 0.0326 memory: 9601 +2024/01/16 09:38:43 - mmengine - INFO - Epoch(val) [11][100/313] eta: 0:00:42 time: 0.2045 data_time: 0.0428 memory: 2388 +2024/01/16 09:38:53 - mmengine - INFO - Epoch(val) [11][150/313] eta: 0:00:32 time: 0.1987 data_time: 0.0410 memory: 2431 +2024/01/16 09:39:03 - mmengine - INFO - Epoch(val) [11][200/313] eta: 0:00:22 time: 0.1985 data_time: 0.0360 memory: 2403 +2024/01/16 09:39:12 - mmengine - INFO - Epoch(val) [11][250/313] eta: 0:00:12 time: 0.1783 data_time: 0.0227 memory: 2431 +2024/01/16 09:39:22 - mmengine - INFO - Epoch(val) [11][300/313] eta: 0:00:02 time: 0.2081 data_time: 0.0401 memory: 2403 +2024/01/16 09:39:32 - mmengine - INFO - Evaluating bbox... +2024/01/16 09:39:55 - mmengine - INFO - bbox_mAP_copypaste: 0.459 0.680 0.504 0.300 0.497 0.600 +2024/01/16 09:39:55 - mmengine - INFO - Evaluating segm... +2024/01/16 09:40:23 - mmengine - INFO - segm_mAP_copypaste: 0.410 0.649 0.437 0.219 0.441 0.597 +2024/01/16 09:40:23 - mmengine - INFO - Epoch(val) [11][313/313] coco/bbox_mAP: 0.4590 coco/bbox_mAP_50: 0.6800 coco/bbox_mAP_75: 0.5040 coco/bbox_mAP_s: 0.3000 coco/bbox_mAP_m: 0.4970 coco/bbox_mAP_l: 0.6000 coco/segm_mAP: 0.4100 coco/segm_mAP_50: 0.6490 coco/segm_mAP_75: 0.4370 coco/segm_mAP_s: 0.2190 coco/segm_mAP_m: 0.4410 coco/segm_mAP_l: 0.5970 data_time: 0.0345 time: 0.1954 +2024/01/16 09:41:04 - mmengine - INFO - Epoch(train) [12][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:19:07 time: 0.8119 data_time: 0.0427 memory: 10013 loss: 0.7106 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0332 loss_cls: 0.1885 acc: 88.0859 loss_bbox: 0.2424 loss_mask: 0.2274 +2024/01/16 09:41:44 - mmengine - INFO - Epoch(train) [12][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:18:29 time: 0.8088 data_time: 0.0322 memory: 10067 loss: 0.6452 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0314 loss_cls: 0.1650 acc: 87.1094 loss_bbox: 0.2097 loss_mask: 0.2175 +2024/01/16 09:42:25 - mmengine - INFO - Epoch(train) [12][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:17:50 time: 0.8020 data_time: 0.0336 memory: 9800 loss: 0.6179 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0312 loss_cls: 0.1638 acc: 96.6797 loss_bbox: 0.2055 loss_mask: 0.1966 +2024/01/16 09:43:04 - mmengine - INFO - Epoch(train) [12][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:17:09 time: 0.7795 data_time: 0.0342 memory: 10582 loss: 0.6153 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0287 loss_cls: 0.1539 acc: 96.2891 loss_bbox: 0.2119 loss_mask: 0.2006 +2024/01/16 09:43:43 - mmengine - INFO - Epoch(train) [12][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:16:30 time: 0.7961 data_time: 0.0294 memory: 9601 loss: 0.5348 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0267 loss_cls: 0.1392 acc: 91.0156 loss_bbox: 0.1748 loss_mask: 0.1785 +2024/01/16 09:44:23 - mmengine - INFO - Epoch(train) [12][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:15:51 time: 0.7995 data_time: 0.0310 memory: 10490 loss: 0.6065 loss_rpn_cls: 0.0292 loss_rpn_bbox: 0.0319 loss_cls: 0.1535 acc: 96.6797 loss_bbox: 0.2047 loss_mask: 0.1872 +2024/01/16 09:45:03 - mmengine - INFO - Epoch(train) [12][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:15:12 time: 0.7922 data_time: 0.0297 memory: 10013 loss: 0.5633 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0247 loss_cls: 0.1522 acc: 96.4844 loss_bbox: 0.1826 loss_mask: 0.1858 +2024/01/16 09:45:19 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 09:45:42 - mmengine - INFO - Epoch(train) [12][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:14:31 time: 0.7816 data_time: 0.0337 memory: 9599 loss: 0.6186 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0327 loss_cls: 0.1600 acc: 91.0156 loss_bbox: 0.2034 loss_mask: 0.1999 +2024/01/16 09:46:22 - mmengine - INFO - Epoch(train) [12][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:13:51 time: 0.7899 data_time: 0.0318 memory: 10401 loss: 0.5563 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0334 loss_cls: 0.1402 acc: 99.0234 loss_bbox: 0.1828 loss_mask: 0.1757 +2024/01/16 09:47:01 - mmengine - INFO - Epoch(train) [12][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:13:11 time: 0.7883 data_time: 0.0307 memory: 10067 loss: 0.6898 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0328 loss_cls: 0.1848 acc: 87.8906 loss_bbox: 0.2286 loss_mask: 0.2212 +2024/01/16 09:47:40 - mmengine - INFO - Epoch(train) [12][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:12:31 time: 0.7860 data_time: 0.0328 memory: 10392 loss: 0.5762 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0238 loss_cls: 0.1467 acc: 100.0000 loss_bbox: 0.1914 loss_mask: 0.1929 +2024/01/16 09:48:21 - mmengine - INFO - Epoch(train) [12][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:11:53 time: 0.8138 data_time: 0.0334 memory: 10572 loss: 0.5758 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0345 loss_cls: 0.1475 acc: 98.6328 loss_bbox: 0.1852 loss_mask: 0.1902 +2024/01/16 09:49:00 - mmengine - INFO - Epoch(train) [12][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:11:13 time: 0.7856 data_time: 0.0321 memory: 10238 loss: 0.5722 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0286 loss_cls: 0.1453 acc: 97.4609 loss_bbox: 0.1890 loss_mask: 0.1923 +2024/01/16 09:49:40 - mmengine - INFO - Epoch(train) [12][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:10:34 time: 0.7996 data_time: 0.0315 memory: 10156 loss: 0.7224 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0394 loss_cls: 0.1798 acc: 87.6953 loss_bbox: 0.2379 loss_mask: 0.2339 +2024/01/16 09:50:21 - mmengine - INFO - Epoch(train) [12][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:09:56 time: 0.8045 data_time: 0.0365 memory: 10583 loss: 0.6036 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0294 loss_cls: 0.1610 acc: 94.9219 loss_bbox: 0.1971 loss_mask: 0.1957 +2024/01/16 09:51:01 - mmengine - INFO - Epoch(train) [12][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:09:18 time: 0.8058 data_time: 0.0300 memory: 10295 loss: 0.6734 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0327 loss_cls: 0.1690 acc: 97.2656 loss_bbox: 0.2279 loss_mask: 0.2253 +2024/01/16 09:51:41 - mmengine - INFO - Epoch(train) [12][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:08:39 time: 0.7954 data_time: 0.0315 memory: 10456 loss: 0.6178 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0297 loss_cls: 0.1690 acc: 93.5547 loss_bbox: 0.1978 loss_mask: 0.1967 +2024/01/16 09:52:21 - mmengine - INFO - Epoch(train) [12][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:08:00 time: 0.7991 data_time: 0.0308 memory: 10572 loss: 0.6140 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0294 loss_cls: 0.1663 acc: 91.6016 loss_bbox: 0.1992 loss_mask: 0.1943 +2024/01/16 09:52:59 - mmengine - INFO - Epoch(train) [12][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:07:18 time: 0.7770 data_time: 0.0309 memory: 9437 loss: 0.6550 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0351 loss_cls: 0.1707 acc: 95.5078 loss_bbox: 0.2163 loss_mask: 0.2112 +2024/01/16 09:53:39 - mmengine - INFO - Epoch(train) [12][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:06:38 time: 0.7861 data_time: 0.0338 memory: 10572 loss: 0.6166 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0339 loss_cls: 0.1659 acc: 95.1172 loss_bbox: 0.2072 loss_mask: 0.1896 +2024/01/16 09:54:19 - mmengine - INFO - Epoch(train) [12][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:05:59 time: 0.7952 data_time: 0.0327 memory: 10509 loss: 0.5288 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0281 loss_cls: 0.1332 acc: 99.2188 loss_bbox: 0.1693 loss_mask: 0.1823 +2024/01/16 09:54:57 - mmengine - INFO - Epoch(train) [12][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:05:18 time: 0.7778 data_time: 0.0356 memory: 10568 loss: 0.6204 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0339 loss_cls: 0.1592 acc: 99.0234 loss_bbox: 0.2027 loss_mask: 0.1967 +2024/01/16 09:55:37 - mmengine - INFO - Epoch(train) [12][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:04:37 time: 0.7845 data_time: 0.0325 memory: 10067 loss: 0.6357 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0293 loss_cls: 0.1650 acc: 90.4297 loss_bbox: 0.1963 loss_mask: 0.2168 +2024/01/16 09:56:16 - mmengine - INFO - Epoch(train) [12][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:03:57 time: 0.7916 data_time: 0.0364 memory: 10573 loss: 0.6859 loss_rpn_cls: 0.0375 loss_rpn_bbox: 0.0319 loss_cls: 0.1826 acc: 98.8281 loss_bbox: 0.2253 loss_mask: 0.2086 +2024/01/16 09:56:56 - mmengine - INFO - Epoch(train) [12][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:03:17 time: 0.7848 data_time: 0.0348 memory: 10568 loss: 0.6239 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0361 loss_cls: 0.1544 acc: 99.8047 loss_bbox: 0.2027 loss_mask: 0.2091 +2024/01/16 09:57:36 - mmengine - INFO - Epoch(train) [12][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:02:39 time: 0.8053 data_time: 0.0333 memory: 10625 loss: 0.6095 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0311 loss_cls: 0.1621 acc: 98.6328 loss_bbox: 0.1894 loss_mask: 0.2019 +2024/01/16 09:58:16 - mmengine - INFO - Epoch(train) [12][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:02:00 time: 0.7956 data_time: 0.0312 memory: 10572 loss: 0.6224 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0348 loss_cls: 0.1645 acc: 83.5938 loss_bbox: 0.2028 loss_mask: 0.1962 +2024/01/16 09:58:31 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 09:58:56 - mmengine - INFO - Epoch(train) [12][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:01:21 time: 0.8010 data_time: 0.0323 memory: 9849 loss: 0.5469 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0288 loss_cls: 0.1276 acc: 98.2422 loss_bbox: 0.1835 loss_mask: 0.1908 +2024/01/16 09:59:34 - mmengine - INFO - Epoch(train) [12][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:00:39 time: 0.7733 data_time: 0.0356 memory: 10117 loss: 0.7072 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0369 loss_cls: 0.1918 acc: 97.2656 loss_bbox: 0.2338 loss_mask: 0.2154 +2024/01/16 10:00:14 - mmengine - INFO - Epoch(train) [12][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 16:00:00 time: 0.7989 data_time: 0.0340 memory: 10067 loss: 0.6905 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0356 loss_cls: 0.1808 acc: 91.7969 loss_bbox: 0.2372 loss_mask: 0.2164 +2024/01/16 10:00:55 - mmengine - INFO - Epoch(train) [12][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:59:23 time: 0.8108 data_time: 0.0322 memory: 10571 loss: 0.6031 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0329 loss_cls: 0.1528 acc: 100.0000 loss_bbox: 0.1964 loss_mask: 0.2021 +2024/01/16 10:01:34 - mmengine - INFO - Epoch(train) [12][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:58:42 time: 0.7832 data_time: 0.0343 memory: 9737 loss: 0.7308 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0350 loss_cls: 0.1873 acc: 99.2188 loss_bbox: 0.2383 loss_mask: 0.2492 +2024/01/16 10:02:14 - mmengine - INFO - Epoch(train) [12][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:58:02 time: 0.7887 data_time: 0.0317 memory: 9294 loss: 0.5793 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0287 loss_cls: 0.1470 acc: 98.4375 loss_bbox: 0.1881 loss_mask: 0.2009 +2024/01/16 10:02:54 - mmengine - INFO - Epoch(train) [12][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:57:24 time: 0.8110 data_time: 0.0379 memory: 10568 loss: 0.7136 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0414 loss_cls: 0.1747 acc: 99.4141 loss_bbox: 0.2533 loss_mask: 0.2215 +2024/01/16 10:03:34 - mmengine - INFO - Epoch(train) [12][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:56:44 time: 0.7887 data_time: 0.0284 memory: 10537 loss: 0.5687 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0302 loss_cls: 0.1549 acc: 98.8281 loss_bbox: 0.1926 loss_mask: 0.1724 +2024/01/16 10:04:13 - mmengine - INFO - Epoch(train) [12][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:56:04 time: 0.7854 data_time: 0.0277 memory: 10298 loss: 0.5254 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0247 loss_cls: 0.1319 acc: 87.5000 loss_bbox: 0.1647 loss_mask: 0.1867 +2024/01/16 10:04:53 - mmengine - INFO - Epoch(train) [12][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:55:26 time: 0.8028 data_time: 0.0296 memory: 9594 loss: 0.6923 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0344 loss_cls: 0.1770 acc: 99.4141 loss_bbox: 0.2464 loss_mask: 0.2167 +2024/01/16 10:05:33 - mmengine - INFO - Epoch(train) [12][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:54:48 time: 0.8081 data_time: 0.0287 memory: 11141 loss: 0.5788 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0274 loss_cls: 0.1499 acc: 88.6719 loss_bbox: 0.2016 loss_mask: 0.1803 +2024/01/16 10:06:12 - mmengine - INFO - Epoch(train) [12][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:54:07 time: 0.7798 data_time: 0.0366 memory: 10568 loss: 0.6667 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0332 loss_cls: 0.1787 acc: 97.0703 loss_bbox: 0.2187 loss_mask: 0.2148 +2024/01/16 10:06:52 - mmengine - INFO - Epoch(train) [12][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:53:27 time: 0.7887 data_time: 0.0335 memory: 9364 loss: 0.6887 loss_rpn_cls: 0.0325 loss_rpn_bbox: 0.0398 loss_cls: 0.1758 acc: 98.2422 loss_bbox: 0.2271 loss_mask: 0.2135 +2024/01/16 10:07:32 - mmengine - INFO - Epoch(train) [12][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:52:48 time: 0.7985 data_time: 0.0333 memory: 10568 loss: 0.6932 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0382 loss_cls: 0.1863 acc: 96.6797 loss_bbox: 0.2405 loss_mask: 0.2040 +2024/01/16 10:08:12 - mmengine - INFO - Epoch(train) [12][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:52:10 time: 0.8074 data_time: 0.0349 memory: 10331 loss: 0.5785 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0322 loss_cls: 0.1426 acc: 83.0078 loss_bbox: 0.1970 loss_mask: 0.1885 +2024/01/16 10:08:51 - mmengine - INFO - Epoch(train) [12][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:51:29 time: 0.7785 data_time: 0.0351 memory: 9524 loss: 0.6261 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0361 loss_cls: 0.1714 acc: 86.9141 loss_bbox: 0.2056 loss_mask: 0.1889 +2024/01/16 10:09:31 - mmengine - INFO - Epoch(train) [12][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:50:49 time: 0.7919 data_time: 0.0367 memory: 10986 loss: 0.7113 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0378 loss_cls: 0.1822 acc: 97.0703 loss_bbox: 0.2412 loss_mask: 0.2271 +2024/01/16 10:10:11 - mmengine - INFO - Epoch(train) [12][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:50:12 time: 0.8133 data_time: 0.0285 memory: 10299 loss: 0.6409 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0267 loss_cls: 0.1706 acc: 99.2188 loss_bbox: 0.2075 loss_mask: 0.2082 +2024/01/16 10:10:51 - mmengine - INFO - Epoch(train) [12][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:49:32 time: 0.7947 data_time: 0.0301 memory: 9734 loss: 0.5895 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0297 loss_cls: 0.1518 acc: 97.8516 loss_bbox: 0.2016 loss_mask: 0.1882 +2024/01/16 10:11:31 - mmengine - INFO - Epoch(train) [12][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:48:53 time: 0.7987 data_time: 0.0329 memory: 10572 loss: 0.6283 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0331 loss_cls: 0.1601 acc: 87.5000 loss_bbox: 0.2116 loss_mask: 0.2010 +2024/01/16 10:11:47 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 10:12:11 - mmengine - INFO - Epoch(train) [12][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:48:15 time: 0.8017 data_time: 0.0355 memory: 10654 loss: 0.5615 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0361 loss_cls: 0.1428 acc: 90.0391 loss_bbox: 0.1872 loss_mask: 0.1733 +2024/01/16 10:12:51 - mmengine - INFO - Epoch(train) [12][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:47:35 time: 0.7920 data_time: 0.0353 memory: 9947 loss: 0.6309 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0332 loss_cls: 0.1538 acc: 99.8047 loss_bbox: 0.2180 loss_mask: 0.2079 +2024/01/16 10:13:30 - mmengine - INFO - Epoch(train) [12][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:46:55 time: 0.7870 data_time: 0.0298 memory: 10583 loss: 0.6188 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0350 loss_cls: 0.1539 acc: 90.8203 loss_bbox: 0.2071 loss_mask: 0.1971 +2024/01/16 10:14:10 - mmengine - INFO - Epoch(train) [12][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:46:16 time: 0.8008 data_time: 0.0338 memory: 10075 loss: 0.7044 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0355 loss_cls: 0.2008 acc: 98.6328 loss_bbox: 0.2416 loss_mask: 0.1978 +2024/01/16 10:14:49 - mmengine - INFO - Epoch(train) [12][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:45:36 time: 0.7831 data_time: 0.0273 memory: 9276 loss: 0.5723 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0260 loss_cls: 0.1704 acc: 94.5312 loss_bbox: 0.1848 loss_mask: 0.1759 +2024/01/16 10:15:29 - mmengine - INFO - Epoch(train) [12][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:44:56 time: 0.7959 data_time: 0.0367 memory: 10572 loss: 0.7013 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0435 loss_cls: 0.1811 acc: 90.4297 loss_bbox: 0.2289 loss_mask: 0.2267 +2024/01/16 10:16:09 - mmengine - INFO - Epoch(train) [12][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:44:18 time: 0.8009 data_time: 0.0375 memory: 10571 loss: 0.7437 loss_rpn_cls: 0.0320 loss_rpn_bbox: 0.0417 loss_cls: 0.2002 acc: 99.0234 loss_bbox: 0.2376 loss_mask: 0.2323 +2024/01/16 10:16:49 - mmengine - INFO - Epoch(train) [12][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:43:39 time: 0.8016 data_time: 0.0375 memory: 10572 loss: 0.6153 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0320 loss_cls: 0.1571 acc: 89.8438 loss_bbox: 0.2082 loss_mask: 0.1944 +2024/01/16 10:17:28 - mmengine - INFO - Epoch(train) [12][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:42:58 time: 0.7816 data_time: 0.0328 memory: 10013 loss: 0.6204 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0337 loss_cls: 0.1682 acc: 95.5078 loss_bbox: 0.2161 loss_mask: 0.1793 +2024/01/16 10:18:08 - mmengine - INFO - Epoch(train) [12][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:42:18 time: 0.7822 data_time: 0.0319 memory: 10205 loss: 0.5322 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0257 loss_cls: 0.1403 acc: 98.8281 loss_bbox: 0.1725 loss_mask: 0.1762 +2024/01/16 10:18:48 - mmengine - INFO - Epoch(train) [12][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:41:40 time: 0.8107 data_time: 0.0329 memory: 9949 loss: 0.6394 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0328 loss_cls: 0.1533 acc: 87.3047 loss_bbox: 0.2084 loss_mask: 0.2208 +2024/01/16 10:19:28 - mmengine - INFO - Epoch(train) [12][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:41:01 time: 0.7990 data_time: 0.0315 memory: 10568 loss: 0.6133 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0308 loss_cls: 0.1710 acc: 94.5312 loss_bbox: 0.2014 loss_mask: 0.1863 +2024/01/16 10:20:07 - mmengine - INFO - Epoch(train) [12][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:40:20 time: 0.7813 data_time: 0.0367 memory: 9554 loss: 0.6959 loss_rpn_cls: 0.0287 loss_rpn_bbox: 0.0448 loss_cls: 0.1749 acc: 93.3594 loss_bbox: 0.2365 loss_mask: 0.2109 +2024/01/16 10:20:47 - mmengine - INFO - Epoch(train) [12][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:39:42 time: 0.8025 data_time: 0.0333 memory: 10872 loss: 0.5622 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0245 loss_cls: 0.1446 acc: 93.3594 loss_bbox: 0.1834 loss_mask: 0.1959 +2024/01/16 10:21:27 - mmengine - INFO - Epoch(train) [12][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:39:03 time: 0.8015 data_time: 0.0290 memory: 9958 loss: 0.5945 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0267 loss_cls: 0.1570 acc: 94.1406 loss_bbox: 0.1894 loss_mask: 0.2033 +2024/01/16 10:22:07 - mmengine - INFO - Epoch(train) [12][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:38:24 time: 0.7927 data_time: 0.0376 memory: 10292 loss: 0.6724 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0421 loss_cls: 0.1761 acc: 96.4844 loss_bbox: 0.2245 loss_mask: 0.2001 +2024/01/16 10:22:47 - mmengine - INFO - Epoch(train) [12][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:37:45 time: 0.8042 data_time: 0.0365 memory: 8894 loss: 0.6754 loss_rpn_cls: 0.0274 loss_rpn_bbox: 0.0344 loss_cls: 0.1837 acc: 82.6172 loss_bbox: 0.2141 loss_mask: 0.2159 +2024/01/16 10:23:27 - mmengine - INFO - Epoch(train) [12][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:37:06 time: 0.7956 data_time: 0.0321 memory: 10568 loss: 0.5864 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0276 loss_cls: 0.1452 acc: 90.2344 loss_bbox: 0.2005 loss_mask: 0.1957 +2024/01/16 10:24:07 - mmengine - INFO - Epoch(train) [12][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:36:26 time: 0.7917 data_time: 0.0319 memory: 10093 loss: 0.6008 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0302 loss_cls: 0.1561 acc: 98.4375 loss_bbox: 0.2015 loss_mask: 0.1932 +2024/01/16 10:24:46 - mmengine - INFO - Epoch(train) [12][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:35:46 time: 0.7893 data_time: 0.0334 memory: 10572 loss: 0.5497 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0273 loss_cls: 0.1375 acc: 95.1172 loss_bbox: 0.1775 loss_mask: 0.1878 +2024/01/16 10:25:02 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 10:25:25 - mmengine - INFO - Epoch(train) [12][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:35:06 time: 0.7876 data_time: 0.0381 memory: 8586 loss: 0.6691 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0376 loss_cls: 0.1850 acc: 99.8047 loss_bbox: 0.2366 loss_mask: 0.1909 +2024/01/16 10:26:05 - mmengine - INFO - Epoch(train) [12][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:34:26 time: 0.7831 data_time: 0.0353 memory: 10218 loss: 0.5776 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0305 loss_cls: 0.1559 acc: 93.3594 loss_bbox: 0.1828 loss_mask: 0.1837 +2024/01/16 10:26:45 - mmengine - INFO - Epoch(train) [12][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:33:47 time: 0.8046 data_time: 0.0317 memory: 10789 loss: 0.5770 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0257 loss_cls: 0.1393 acc: 92.9688 loss_bbox: 0.1985 loss_mask: 0.1976 +2024/01/16 10:27:25 - mmengine - INFO - Epoch(train) [12][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:33:08 time: 0.7916 data_time: 0.0366 memory: 10568 loss: 0.7219 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0415 loss_cls: 0.1811 acc: 87.6953 loss_bbox: 0.2489 loss_mask: 0.2260 +2024/01/16 10:28:04 - mmengine - INFO - Epoch(train) [12][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:32:27 time: 0.7854 data_time: 0.0324 memory: 9734 loss: 0.5592 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0257 loss_cls: 0.1430 acc: 99.6094 loss_bbox: 0.1788 loss_mask: 0.1944 +2024/01/16 10:28:43 - mmengine - INFO - Epoch(train) [12][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:31:47 time: 0.7856 data_time: 0.0304 memory: 10572 loss: 0.7122 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0316 loss_cls: 0.1979 acc: 91.4062 loss_bbox: 0.2458 loss_mask: 0.2131 +2024/01/16 10:29:23 - mmengine - INFO - Epoch(train) [12][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:31:08 time: 0.8012 data_time: 0.0338 memory: 11102 loss: 0.6728 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0356 loss_cls: 0.1763 acc: 97.2656 loss_bbox: 0.2299 loss_mask: 0.2098 +2024/01/16 10:30:04 - mmengine - INFO - Epoch(train) [12][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:30:31 time: 0.8125 data_time: 0.0293 memory: 10572 loss: 0.6496 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0296 loss_cls: 0.1776 acc: 99.0234 loss_bbox: 0.2144 loss_mask: 0.2052 +2024/01/16 10:30:43 - mmengine - INFO - Epoch(train) [12][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:29:50 time: 0.7816 data_time: 0.0325 memory: 10277 loss: 0.6768 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0269 loss_cls: 0.1931 acc: 93.5547 loss_bbox: 0.2248 loss_mask: 0.2087 +2024/01/16 10:31:23 - mmengine - INFO - Epoch(train) [12][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:29:11 time: 0.7990 data_time: 0.0368 memory: 9601 loss: 0.6466 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0397 loss_cls: 0.1765 acc: 91.9922 loss_bbox: 0.2098 loss_mask: 0.1985 +2024/01/16 10:32:02 - mmengine - INFO - Epoch(train) [12][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:28:31 time: 0.7880 data_time: 0.0331 memory: 9134 loss: 0.5893 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0297 loss_cls: 0.1493 acc: 89.6484 loss_bbox: 0.1932 loss_mask: 0.1936 +2024/01/16 10:32:42 - mmengine - INFO - Epoch(train) [12][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:27:51 time: 0.7871 data_time: 0.0314 memory: 10067 loss: 0.5692 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0235 loss_cls: 0.1523 acc: 94.7266 loss_bbox: 0.1936 loss_mask: 0.1839 +2024/01/16 10:33:22 - mmengine - INFO - Epoch(train) [12][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:27:13 time: 0.8079 data_time: 0.0316 memory: 10568 loss: 0.6450 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0321 loss_cls: 0.1681 acc: 76.9531 loss_bbox: 0.2082 loss_mask: 0.2174 +2024/01/16 10:34:02 - mmengine - INFO - Epoch(train) [12][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:26:34 time: 0.7955 data_time: 0.0333 memory: 10545 loss: 0.6931 loss_rpn_cls: 0.0253 loss_rpn_bbox: 0.0337 loss_cls: 0.1884 acc: 89.6484 loss_bbox: 0.2361 loss_mask: 0.2096 +2024/01/16 10:34:42 - mmengine - INFO - Epoch(train) [12][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:25:55 time: 0.7984 data_time: 0.0335 memory: 10583 loss: 0.6078 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0313 loss_cls: 0.1547 acc: 86.3281 loss_bbox: 0.2095 loss_mask: 0.1977 +2024/01/16 10:35:23 - mmengine - INFO - Epoch(train) [12][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:25:19 time: 0.8268 data_time: 0.0371 memory: 11064 loss: 0.6343 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0288 loss_cls: 0.1742 acc: 93.7500 loss_bbox: 0.2029 loss_mask: 0.2058 +2024/01/16 10:36:03 - mmengine - INFO - Epoch(train) [12][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:24:39 time: 0.7934 data_time: 0.0306 memory: 10067 loss: 0.7100 loss_rpn_cls: 0.0343 loss_rpn_bbox: 0.0469 loss_cls: 0.1868 acc: 84.9609 loss_bbox: 0.2297 loss_mask: 0.2122 +2024/01/16 10:36:43 - mmengine - INFO - Epoch(train) [12][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:24:01 time: 0.8070 data_time: 0.0334 memory: 10285 loss: 0.6202 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0282 loss_cls: 0.1700 acc: 94.3359 loss_bbox: 0.1976 loss_mask: 0.2026 +2024/01/16 10:37:24 - mmengine - INFO - Epoch(train) [12][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:23:23 time: 0.8082 data_time: 0.0319 memory: 9729 loss: 0.6926 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0331 loss_cls: 0.1798 acc: 91.7969 loss_bbox: 0.2344 loss_mask: 0.2230 +2024/01/16 10:38:03 - mmengine - INFO - Epoch(train) [12][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:22:44 time: 0.7976 data_time: 0.0410 memory: 10067 loss: 0.7009 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0403 loss_cls: 0.1901 acc: 95.7031 loss_bbox: 0.2323 loss_mask: 0.2173 +2024/01/16 10:38:19 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 10:38:43 - mmengine - INFO - Epoch(train) [12][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:22:03 time: 0.7840 data_time: 0.0377 memory: 9799 loss: 0.7091 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0508 loss_cls: 0.1738 acc: 89.6484 loss_bbox: 0.2390 loss_mask: 0.2227 +2024/01/16 10:39:23 - mmengine - INFO - Epoch(train) [12][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:21:25 time: 0.7998 data_time: 0.0330 memory: 10583 loss: 0.5978 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0289 loss_cls: 0.1611 acc: 93.7500 loss_bbox: 0.1870 loss_mask: 0.1989 +2024/01/16 10:40:02 - mmengine - INFO - Epoch(train) [12][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:20:45 time: 0.7905 data_time: 0.0324 memory: 10572 loss: 0.7056 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0466 loss_cls: 0.1807 acc: 85.3516 loss_bbox: 0.2293 loss_mask: 0.2209 +2024/01/16 10:40:41 - mmengine - INFO - Epoch(train) [12][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:20:04 time: 0.7825 data_time: 0.0378 memory: 9120 loss: 0.7056 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0375 loss_cls: 0.1803 acc: 94.3359 loss_bbox: 0.2326 loss_mask: 0.2271 +2024/01/16 10:41:21 - mmengine - INFO - Epoch(train) [12][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:19:25 time: 0.7945 data_time: 0.0311 memory: 10067 loss: 0.6805 loss_rpn_cls: 0.0278 loss_rpn_bbox: 0.0426 loss_cls: 0.1761 acc: 80.4688 loss_bbox: 0.2302 loss_mask: 0.2038 +2024/01/16 10:42:01 - mmengine - INFO - Epoch(train) [12][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:18:45 time: 0.7944 data_time: 0.0286 memory: 9160 loss: 0.6171 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0261 loss_cls: 0.1710 acc: 96.6797 loss_bbox: 0.2026 loss_mask: 0.1970 +2024/01/16 10:42:41 - mmengine - INFO - Epoch(train) [12][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:18:07 time: 0.8074 data_time: 0.0332 memory: 10572 loss: 0.6119 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0276 loss_cls: 0.1529 acc: 91.7969 loss_bbox: 0.2150 loss_mask: 0.2009 +2024/01/16 10:43:20 - mmengine - INFO - Epoch(train) [12][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:17:26 time: 0.7799 data_time: 0.0340 memory: 9604 loss: 0.6733 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0355 loss_cls: 0.1788 acc: 97.2656 loss_bbox: 0.2164 loss_mask: 0.2149 +2024/01/16 10:44:00 - mmengine - INFO - Epoch(train) [12][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:16:46 time: 0.7854 data_time: 0.0373 memory: 10196 loss: 0.5743 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0321 loss_cls: 0.1428 acc: 82.6172 loss_bbox: 0.1901 loss_mask: 0.1880 +2024/01/16 10:44:39 - mmengine - INFO - Epoch(train) [12][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:16:07 time: 0.7948 data_time: 0.0286 memory: 10067 loss: 0.4993 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0280 loss_cls: 0.1257 acc: 95.8984 loss_bbox: 0.1518 loss_mask: 0.1774 +2024/01/16 10:45:19 - mmengine - INFO - Epoch(train) [12][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:15:26 time: 0.7855 data_time: 0.0390 memory: 9526 loss: 0.6931 loss_rpn_cls: 0.0253 loss_rpn_bbox: 0.0350 loss_cls: 0.1763 acc: 93.7500 loss_bbox: 0.2456 loss_mask: 0.2109 +2024/01/16 10:45:58 - mmengine - INFO - Epoch(train) [12][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:14:47 time: 0.7924 data_time: 0.0357 memory: 9601 loss: 0.6804 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0415 loss_cls: 0.1727 acc: 86.3281 loss_bbox: 0.2156 loss_mask: 0.2193 +2024/01/16 10:46:38 - mmengine - INFO - Epoch(train) [12][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:14:06 time: 0.7871 data_time: 0.0315 memory: 9800 loss: 0.5881 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0285 loss_cls: 0.1432 acc: 93.5547 loss_bbox: 0.1905 loss_mask: 0.2095 +2024/01/16 10:47:17 - mmengine - INFO - Epoch(train) [12][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:13:27 time: 0.7910 data_time: 0.0336 memory: 10113 loss: 0.6389 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0301 loss_cls: 0.1699 acc: 88.0859 loss_bbox: 0.2230 loss_mask: 0.1927 +2024/01/16 10:47:57 - mmengine - INFO - Epoch(train) [12][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:12:48 time: 0.8012 data_time: 0.0330 memory: 10317 loss: 0.6540 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0327 loss_cls: 0.1777 acc: 97.4609 loss_bbox: 0.2149 loss_mask: 0.2104 +2024/01/16 10:48:37 - mmengine - INFO - Epoch(train) [12][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:12:09 time: 0.7992 data_time: 0.0373 memory: 10063 loss: 0.6784 loss_rpn_cls: 0.0295 loss_rpn_bbox: 0.0337 loss_cls: 0.1814 acc: 88.4766 loss_bbox: 0.2233 loss_mask: 0.2106 +2024/01/16 10:49:16 - mmengine - INFO - Epoch(train) [12][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:11:28 time: 0.7817 data_time: 0.0329 memory: 11102 loss: 0.6450 loss_rpn_cls: 0.0340 loss_rpn_bbox: 0.0385 loss_cls: 0.1574 acc: 99.4141 loss_bbox: 0.2138 loss_mask: 0.2012 +2024/01/16 10:49:56 - mmengine - INFO - Epoch(train) [12][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:10:50 time: 0.8010 data_time: 0.0333 memory: 9599 loss: 0.6928 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0384 loss_cls: 0.1940 acc: 87.1094 loss_bbox: 0.2238 loss_mask: 0.2132 +2024/01/16 10:50:36 - mmengine - INFO - Epoch(train) [12][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:10:10 time: 0.7928 data_time: 0.0356 memory: 10582 loss: 0.6466 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0322 loss_cls: 0.1723 acc: 87.5000 loss_bbox: 0.2185 loss_mask: 0.1976 +2024/01/16 10:51:15 - mmengine - INFO - Epoch(train) [12][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:09:29 time: 0.7777 data_time: 0.0295 memory: 10376 loss: 0.7135 loss_rpn_cls: 0.0298 loss_rpn_bbox: 0.0337 loss_cls: 0.1846 acc: 95.7031 loss_bbox: 0.2288 loss_mask: 0.2365 +2024/01/16 10:51:31 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 10:51:54 - mmengine - INFO - Epoch(train) [12][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:08:49 time: 0.7901 data_time: 0.0346 memory: 11102 loss: 0.7928 loss_rpn_cls: 0.0356 loss_rpn_bbox: 0.0464 loss_cls: 0.2298 acc: 90.4297 loss_bbox: 0.2532 loss_mask: 0.2278 +2024/01/16 10:52:34 - mmengine - INFO - Epoch(train) [12][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:08:10 time: 0.7940 data_time: 0.0331 memory: 9598 loss: 0.6401 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0363 loss_cls: 0.1707 acc: 97.8516 loss_bbox: 0.2061 loss_mask: 0.2048 +2024/01/16 10:53:15 - mmengine - INFO - Epoch(train) [12][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:07:32 time: 0.8123 data_time: 0.0345 memory: 10986 loss: 0.6407 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0295 loss_cls: 0.1638 acc: 87.6953 loss_bbox: 0.2161 loss_mask: 0.2104 +2024/01/16 10:53:55 - mmengine - INFO - Epoch(train) [12][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:06:54 time: 0.8053 data_time: 0.0311 memory: 10817 loss: 0.6375 loss_rpn_cls: 0.0392 loss_rpn_bbox: 0.0290 loss_cls: 0.1680 acc: 99.4141 loss_bbox: 0.2013 loss_mask: 0.1999 +2024/01/16 10:54:36 - mmengine - INFO - Epoch(train) [12][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:06:16 time: 0.8122 data_time: 0.0309 memory: 9601 loss: 0.5731 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0278 loss_cls: 0.1509 acc: 98.4375 loss_bbox: 0.1911 loss_mask: 0.1823 +2024/01/16 10:55:16 - mmengine - INFO - Epoch(train) [12][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:05:37 time: 0.8000 data_time: 0.0372 memory: 10572 loss: 0.6838 loss_rpn_cls: 0.0342 loss_rpn_bbox: 0.0345 loss_cls: 0.1914 acc: 88.4766 loss_bbox: 0.2140 loss_mask: 0.2098 +2024/01/16 10:55:55 - mmengine - INFO - Epoch(train) [12][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:04:57 time: 0.7845 data_time: 0.0364 memory: 10572 loss: 0.6359 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0302 loss_cls: 0.1670 acc: 92.9688 loss_bbox: 0.2084 loss_mask: 0.2042 +2024/01/16 10:56:35 - mmengine - INFO - Epoch(train) [12][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:04:18 time: 0.8040 data_time: 0.0371 memory: 10787 loss: 0.6722 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0402 loss_cls: 0.1872 acc: 98.2422 loss_bbox: 0.2182 loss_mask: 0.1969 +2024/01/16 10:57:15 - mmengine - INFO - Epoch(train) [12][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:03:39 time: 0.7978 data_time: 0.0318 memory: 10292 loss: 0.5968 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0329 loss_cls: 0.1467 acc: 88.8672 loss_bbox: 0.1813 loss_mask: 0.2186 +2024/01/16 10:57:54 - mmengine - INFO - Epoch(train) [12][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:02:59 time: 0.7875 data_time: 0.0373 memory: 9187 loss: 0.7004 loss_rpn_cls: 0.0337 loss_rpn_bbox: 0.0358 loss_cls: 0.1778 acc: 97.2656 loss_bbox: 0.2325 loss_mask: 0.2207 +2024/01/16 10:58:34 - mmengine - INFO - Epoch(train) [12][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:02:19 time: 0.7877 data_time: 0.0381 memory: 9734 loss: 0.7252 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0374 loss_cls: 0.1941 acc: 94.5312 loss_bbox: 0.2406 loss_mask: 0.2332 +2024/01/16 10:59:14 - mmengine - INFO - Epoch(train) [12][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:01:40 time: 0.7993 data_time: 0.0333 memory: 10572 loss: 0.6183 loss_rpn_cls: 0.0302 loss_rpn_bbox: 0.0366 loss_cls: 0.1624 acc: 97.2656 loss_bbox: 0.1952 loss_mask: 0.1939 +2024/01/16 10:59:54 - mmengine - INFO - Epoch(train) [12][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:01:01 time: 0.7976 data_time: 0.0361 memory: 10568 loss: 0.6039 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0315 loss_cls: 0.1584 acc: 86.3281 loss_bbox: 0.1950 loss_mask: 0.1980 +2024/01/16 11:00:34 - mmengine - INFO - Epoch(train) [12][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 15:00:23 time: 0.8032 data_time: 0.0369 memory: 10789 loss: 0.6582 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0356 loss_cls: 0.1614 acc: 94.5312 loss_bbox: 0.2267 loss_mask: 0.2172 +2024/01/16 11:01:13 - mmengine - INFO - Epoch(train) [12][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:59:42 time: 0.7811 data_time: 0.0360 memory: 9904 loss: 0.6957 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0354 loss_cls: 0.1865 acc: 97.2656 loss_bbox: 0.2243 loss_mask: 0.2198 +2024/01/16 11:01:52 - mmengine - INFO - Epoch(train) [12][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:59:01 time: 0.7859 data_time: 0.0312 memory: 10532 loss: 0.6435 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0336 loss_cls: 0.1730 acc: 96.6797 loss_bbox: 0.2275 loss_mask: 0.1908 +2024/01/16 11:02:32 - mmengine - INFO - Epoch(train) [12][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:58:23 time: 0.8025 data_time: 0.0334 memory: 9737 loss: 0.5564 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0250 loss_cls: 0.1512 acc: 91.6016 loss_bbox: 0.1774 loss_mask: 0.1808 +2024/01/16 11:03:12 - mmengine - INFO - Epoch(train) [12][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:57:43 time: 0.7902 data_time: 0.0327 memory: 10069 loss: 0.6125 loss_rpn_cls: 0.0285 loss_rpn_bbox: 0.0319 loss_cls: 0.1573 acc: 97.6562 loss_bbox: 0.2016 loss_mask: 0.1933 +2024/01/16 11:03:52 - mmengine - INFO - Epoch(train) [12][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:57:04 time: 0.7995 data_time: 0.0370 memory: 10582 loss: 0.6997 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0337 loss_cls: 0.1869 acc: 85.1562 loss_bbox: 0.2381 loss_mask: 0.2211 +2024/01/16 11:04:32 - mmengine - INFO - Epoch(train) [12][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:56:25 time: 0.7982 data_time: 0.0291 memory: 10659 loss: 0.5522 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0233 loss_cls: 0.1431 acc: 90.8203 loss_bbox: 0.1805 loss_mask: 0.1849 +2024/01/16 11:04:48 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 11:05:10 - mmengine - INFO - Epoch(train) [12][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:55:43 time: 0.7721 data_time: 0.0341 memory: 9601 loss: 0.6722 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0344 loss_cls: 0.1843 acc: 96.8750 loss_bbox: 0.2254 loss_mask: 0.2026 +2024/01/16 11:05:50 - mmengine - INFO - Epoch(train) [12][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:55:04 time: 0.7990 data_time: 0.0327 memory: 10423 loss: 0.6118 loss_rpn_cls: 0.0291 loss_rpn_bbox: 0.0315 loss_cls: 0.1513 acc: 99.4141 loss_bbox: 0.2060 loss_mask: 0.1938 +2024/01/16 11:06:30 - mmengine - INFO - Epoch(train) [12][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:54:25 time: 0.7909 data_time: 0.0333 memory: 10403 loss: 0.6455 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0302 loss_cls: 0.1855 acc: 94.5312 loss_bbox: 0.2136 loss_mask: 0.1929 +2024/01/16 11:07:09 - mmengine - INFO - Epoch(train) [12][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:53:45 time: 0.7897 data_time: 0.0321 memory: 9236 loss: 0.6350 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0335 loss_cls: 0.1754 acc: 79.4922 loss_bbox: 0.2072 loss_mask: 0.1980 +2024/01/16 11:07:49 - mmengine - INFO - Epoch(train) [12][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:53:05 time: 0.7934 data_time: 0.0356 memory: 10299 loss: 0.6569 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0340 loss_cls: 0.1950 acc: 89.0625 loss_bbox: 0.2083 loss_mask: 0.1971 +2024/01/16 11:08:29 - mmengine - INFO - Epoch(train) [12][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:52:25 time: 0.7898 data_time: 0.0293 memory: 9601 loss: 0.5911 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0299 loss_cls: 0.1576 acc: 86.9141 loss_bbox: 0.1944 loss_mask: 0.1912 +2024/01/16 11:09:08 - mmengine - INFO - Epoch(train) [12][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:51:44 time: 0.7788 data_time: 0.0319 memory: 10067 loss: 0.6898 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0467 loss_cls: 0.1715 acc: 95.1172 loss_bbox: 0.2223 loss_mask: 0.2169 +2024/01/16 11:09:48 - mmengine - INFO - Epoch(train) [12][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:51:06 time: 0.8040 data_time: 0.0349 memory: 10568 loss: 0.6501 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0387 loss_cls: 0.1680 acc: 99.8047 loss_bbox: 0.2315 loss_mask: 0.1891 +2024/01/16 11:10:27 - mmengine - INFO - Epoch(train) [12][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:50:26 time: 0.7852 data_time: 0.0299 memory: 9737 loss: 0.6147 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0391 loss_cls: 0.1582 acc: 99.0234 loss_bbox: 0.1991 loss_mask: 0.1977 +2024/01/16 11:11:07 - mmengine - INFO - Epoch(train) [12][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:49:47 time: 0.8040 data_time: 0.0320 memory: 9882 loss: 0.7753 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0356 loss_cls: 0.2128 acc: 93.5547 loss_bbox: 0.2687 loss_mask: 0.2322 +2024/01/16 11:11:47 - mmengine - INFO - Epoch(train) [12][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:49:07 time: 0.7907 data_time: 0.0309 memory: 10152 loss: 0.5654 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0290 loss_cls: 0.1481 acc: 88.8672 loss_bbox: 0.1858 loss_mask: 0.1820 +2024/01/16 11:12:26 - mmengine - INFO - Epoch(train) [12][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:48:26 time: 0.7739 data_time: 0.0312 memory: 10152 loss: 0.6771 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0393 loss_cls: 0.1836 acc: 97.2656 loss_bbox: 0.2274 loss_mask: 0.2025 +2024/01/16 11:13:06 - mmengine - INFO - Epoch(train) [12][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:47:47 time: 0.8035 data_time: 0.0320 memory: 10077 loss: 0.6187 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0254 loss_cls: 0.1528 acc: 95.3125 loss_bbox: 0.2072 loss_mask: 0.2152 +2024/01/16 11:13:46 - mmengine - INFO - Epoch(train) [12][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:47:08 time: 0.7956 data_time: 0.0285 memory: 10067 loss: 0.6009 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0379 loss_cls: 0.1438 acc: 94.5312 loss_bbox: 0.1796 loss_mask: 0.2114 +2024/01/16 11:14:25 - mmengine - INFO - Epoch(train) [12][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:46:29 time: 0.7940 data_time: 0.0344 memory: 10374 loss: 0.6618 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0371 loss_cls: 0.1638 acc: 99.6094 loss_bbox: 0.2183 loss_mask: 0.2228 +2024/01/16 11:15:04 - mmengine - INFO - Epoch(train) [12][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:45:48 time: 0.7807 data_time: 0.0333 memory: 10580 loss: 0.5966 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0284 loss_cls: 0.1548 acc: 91.6016 loss_bbox: 0.1906 loss_mask: 0.1959 +2024/01/16 11:15:44 - mmengine - INFO - Epoch(train) [12][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:45:08 time: 0.7904 data_time: 0.0317 memory: 10069 loss: 0.6433 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0309 loss_cls: 0.1612 acc: 99.4141 loss_bbox: 0.2055 loss_mask: 0.2295 +2024/01/16 11:16:24 - mmengine - INFO - Epoch(train) [12][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:44:30 time: 0.8070 data_time: 0.0309 memory: 9701 loss: 0.5439 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0213 loss_cls: 0.1418 acc: 99.2188 loss_bbox: 0.1685 loss_mask: 0.1955 +2024/01/16 11:17:05 - mmengine - INFO - Epoch(train) [12][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:43:52 time: 0.8075 data_time: 0.0357 memory: 10067 loss: 0.6790 loss_rpn_cls: 0.0315 loss_rpn_bbox: 0.0362 loss_cls: 0.1802 acc: 98.2422 loss_bbox: 0.2191 loss_mask: 0.2119 +2024/01/16 11:17:28 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 11:17:28 - mmengine - INFO - Saving checkpoint at 12 epochs +2024/01/16 11:17:42 - mmengine - INFO - Epoch(val) [12][ 50/313] eta: 0:00:53 time: 0.2052 data_time: 0.0436 memory: 9593 +2024/01/16 11:17:52 - mmengine - INFO - Epoch(val) [12][100/313] eta: 0:00:43 time: 0.2034 data_time: 0.0423 memory: 2388 +2024/01/16 11:18:02 - mmengine - INFO - Epoch(val) [12][150/313] eta: 0:00:32 time: 0.1957 data_time: 0.0376 memory: 2431 +2024/01/16 11:18:13 - mmengine - INFO - Epoch(val) [12][200/313] eta: 0:00:22 time: 0.2066 data_time: 0.0447 memory: 2403 +2024/01/16 11:18:22 - mmengine - INFO - Epoch(val) [12][250/313] eta: 0:00:12 time: 0.1860 data_time: 0.0301 memory: 2431 +2024/01/16 11:18:32 - mmengine - INFO - Epoch(val) [12][300/313] eta: 0:00:02 time: 0.2000 data_time: 0.0408 memory: 2403 +2024/01/16 11:18:41 - mmengine - INFO - Evaluating bbox... +2024/01/16 11:19:04 - mmengine - INFO - bbox_mAP_copypaste: 0.466 0.687 0.511 0.301 0.509 0.605 +2024/01/16 11:19:04 - mmengine - INFO - Evaluating segm... +2024/01/16 11:19:31 - mmengine - INFO - segm_mAP_copypaste: 0.415 0.654 0.446 0.222 0.453 0.604 +2024/01/16 11:19:32 - mmengine - INFO - Epoch(val) [12][313/313] coco/bbox_mAP: 0.4660 coco/bbox_mAP_50: 0.6870 coco/bbox_mAP_75: 0.5110 coco/bbox_mAP_s: 0.3010 coco/bbox_mAP_m: 0.5090 coco/bbox_mAP_l: 0.6050 coco/segm_mAP: 0.4150 coco/segm_mAP_50: 0.6540 coco/segm_mAP_75: 0.4460 coco/segm_mAP_s: 0.2220 coco/segm_mAP_m: 0.4530 coco/segm_mAP_l: 0.6040 data_time: 0.0383 time: 0.1976 +2024/01/16 11:20:04 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 11:20:12 - mmengine - INFO - Epoch(train) [13][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:42:50 time: 0.8124 data_time: 0.0521 memory: 10067 loss: 0.6702 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0326 loss_cls: 0.1848 acc: 86.5234 loss_bbox: 0.2250 loss_mask: 0.2092 +2024/01/16 11:20:52 - mmengine - INFO - Epoch(train) [13][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:42:11 time: 0.7949 data_time: 0.0335 memory: 9736 loss: 0.6832 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0397 loss_cls: 0.1918 acc: 99.8047 loss_bbox: 0.2236 loss_mask: 0.2071 +2024/01/16 11:21:31 - mmengine - INFO - Epoch(train) [13][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:41:30 time: 0.7836 data_time: 0.0348 memory: 10027 loss: 0.7164 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0390 loss_cls: 0.2001 acc: 99.0234 loss_bbox: 0.2368 loss_mask: 0.2142 +2024/01/16 11:22:11 - mmengine - INFO - Epoch(train) [13][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:40:51 time: 0.7948 data_time: 0.0378 memory: 10067 loss: 0.5760 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0296 loss_cls: 0.1489 acc: 99.6094 loss_bbox: 0.1945 loss_mask: 0.1806 +2024/01/16 11:22:49 - mmengine - INFO - Epoch(train) [13][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:40:08 time: 0.7587 data_time: 0.0351 memory: 10370 loss: 0.6871 loss_rpn_cls: 0.0327 loss_rpn_bbox: 0.0393 loss_cls: 0.1754 acc: 92.9688 loss_bbox: 0.2351 loss_mask: 0.2047 +2024/01/16 11:23:29 - mmengine - INFO - Epoch(train) [13][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:39:29 time: 0.8047 data_time: 0.0330 memory: 10067 loss: 0.6272 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0331 loss_cls: 0.1545 acc: 95.7031 loss_bbox: 0.2152 loss_mask: 0.1956 +2024/01/16 11:24:09 - mmengine - INFO - Epoch(train) [13][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:38:50 time: 0.7988 data_time: 0.0280 memory: 10202 loss: 0.6083 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0295 loss_cls: 0.1624 acc: 91.9922 loss_bbox: 0.1900 loss_mask: 0.2045 +2024/01/16 11:24:49 - mmengine - INFO - Epoch(train) [13][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:38:11 time: 0.7944 data_time: 0.0293 memory: 10593 loss: 0.6204 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0285 loss_cls: 0.1625 acc: 97.2656 loss_bbox: 0.2034 loss_mask: 0.2051 +2024/01/16 11:25:29 - mmengine - INFO - Epoch(train) [13][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:37:31 time: 0.7910 data_time: 0.0270 memory: 10146 loss: 0.5916 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0310 loss_cls: 0.1448 acc: 98.8281 loss_bbox: 0.1910 loss_mask: 0.2026 +2024/01/16 11:26:09 - mmengine - INFO - Epoch(train) [13][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:36:53 time: 0.8022 data_time: 0.0386 memory: 11514 loss: 0.7703 loss_rpn_cls: 0.0357 loss_rpn_bbox: 0.0445 loss_cls: 0.2084 acc: 96.4844 loss_bbox: 0.2682 loss_mask: 0.2135 +2024/01/16 11:26:48 - mmengine - INFO - Epoch(train) [13][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:36:13 time: 0.7882 data_time: 0.0360 memory: 10572 loss: 0.6462 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0418 loss_cls: 0.1733 acc: 100.0000 loss_bbox: 0.2162 loss_mask: 0.1887 +2024/01/16 11:27:28 - mmengine - INFO - Epoch(train) [13][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:35:34 time: 0.7982 data_time: 0.0306 memory: 10290 loss: 0.5614 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0286 loss_cls: 0.1363 acc: 99.8047 loss_bbox: 0.1900 loss_mask: 0.1924 +2024/01/16 11:28:07 - mmengine - INFO - Epoch(train) [13][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:34:53 time: 0.7877 data_time: 0.0368 memory: 10186 loss: 0.7556 loss_rpn_cls: 0.0359 loss_rpn_bbox: 0.0447 loss_cls: 0.2007 acc: 95.7031 loss_bbox: 0.2621 loss_mask: 0.2123 +2024/01/16 11:28:47 - mmengine - INFO - Epoch(train) [13][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:34:14 time: 0.7920 data_time: 0.0313 memory: 11003 loss: 0.5632 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0286 loss_cls: 0.1453 acc: 93.9453 loss_bbox: 0.1863 loss_mask: 0.1834 +2024/01/16 11:29:27 - mmengine - INFO - Epoch(train) [13][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:33:34 time: 0.7923 data_time: 0.0290 memory: 10624 loss: 0.5775 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0229 loss_cls: 0.1429 acc: 99.8047 loss_bbox: 0.2024 loss_mask: 0.1909 +2024/01/16 11:30:07 - mmengine - INFO - Epoch(train) [13][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:32:55 time: 0.8013 data_time: 0.0314 memory: 9677 loss: 0.7032 loss_rpn_cls: 0.0317 loss_rpn_bbox: 0.0437 loss_cls: 0.1798 acc: 99.0234 loss_bbox: 0.2351 loss_mask: 0.2129 +2024/01/16 11:30:47 - mmengine - INFO - Epoch(train) [13][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:32:17 time: 0.8027 data_time: 0.0357 memory: 11309 loss: 0.5454 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0304 loss_cls: 0.1445 acc: 94.5312 loss_bbox: 0.1765 loss_mask: 0.1756 +2024/01/16 11:31:26 - mmengine - INFO - Epoch(train) [13][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:31:37 time: 0.7872 data_time: 0.0335 memory: 10278 loss: 0.6496 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0283 loss_cls: 0.1656 acc: 98.6328 loss_bbox: 0.2205 loss_mask: 0.2139 +2024/01/16 11:32:06 - mmengine - INFO - Epoch(train) [13][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:30:56 time: 0.7854 data_time: 0.0301 memory: 10067 loss: 0.5693 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0274 loss_cls: 0.1426 acc: 97.8516 loss_bbox: 0.1911 loss_mask: 0.1923 +2024/01/16 11:32:45 - mmengine - INFO - Epoch(train) [13][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:30:17 time: 0.7959 data_time: 0.0351 memory: 10240 loss: 0.6255 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0327 loss_cls: 0.1664 acc: 94.3359 loss_bbox: 0.2068 loss_mask: 0.1993 +2024/01/16 11:33:17 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 11:33:25 - mmengine - INFO - Epoch(train) [13][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:29:37 time: 0.7914 data_time: 0.0375 memory: 9947 loss: 0.7664 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0380 loss_cls: 0.2042 acc: 97.2656 loss_bbox: 0.2566 loss_mask: 0.2351 +2024/01/16 11:34:05 - mmengine - INFO - Epoch(train) [13][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:28:58 time: 0.7947 data_time: 0.0298 memory: 9551 loss: 0.5563 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0239 loss_cls: 0.1309 acc: 85.1562 loss_bbox: 0.1843 loss_mask: 0.1980 +2024/01/16 11:34:45 - mmengine - INFO - Epoch(train) [13][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:28:19 time: 0.8018 data_time: 0.0352 memory: 10453 loss: 0.7049 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0317 loss_cls: 0.1910 acc: 97.0703 loss_bbox: 0.2327 loss_mask: 0.2279 +2024/01/16 11:35:24 - mmengine - INFO - Epoch(train) [13][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:27:40 time: 0.7931 data_time: 0.0325 memory: 10572 loss: 0.5577 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0281 loss_cls: 0.1359 acc: 91.6016 loss_bbox: 0.1688 loss_mask: 0.2057 +2024/01/16 11:36:05 - mmengine - INFO - Epoch(train) [13][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:27:01 time: 0.8019 data_time: 0.0403 memory: 10258 loss: 0.6282 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0325 loss_cls: 0.1713 acc: 86.7188 loss_bbox: 0.2175 loss_mask: 0.1903 +2024/01/16 11:36:46 - mmengine - INFO - Epoch(train) [13][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:26:24 time: 0.8234 data_time: 0.0296 memory: 10572 loss: 0.5100 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0195 loss_cls: 0.1260 acc: 99.8047 loss_bbox: 0.1809 loss_mask: 0.1714 +2024/01/16 11:37:26 - mmengine - INFO - Epoch(train) [13][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:25:45 time: 0.7978 data_time: 0.0354 memory: 10512 loss: 0.6147 loss_rpn_cls: 0.0250 loss_rpn_bbox: 0.0347 loss_cls: 0.1575 acc: 92.7734 loss_bbox: 0.1975 loss_mask: 0.2001 +2024/01/16 11:38:06 - mmengine - INFO - Epoch(train) [13][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:25:06 time: 0.8007 data_time: 0.0328 memory: 10583 loss: 0.6164 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0349 loss_cls: 0.1610 acc: 99.8047 loss_bbox: 0.2117 loss_mask: 0.1919 +2024/01/16 11:38:45 - mmengine - INFO - Epoch(train) [13][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:24:27 time: 0.7931 data_time: 0.0314 memory: 10456 loss: 0.5844 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0276 loss_cls: 0.1629 acc: 87.5000 loss_bbox: 0.1893 loss_mask: 0.1828 +2024/01/16 11:39:25 - mmengine - INFO - Epoch(train) [13][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:23:47 time: 0.7861 data_time: 0.0385 memory: 10572 loss: 0.6310 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0363 loss_cls: 0.1753 acc: 96.2891 loss_bbox: 0.2115 loss_mask: 0.1853 +2024/01/16 11:40:04 - mmengine - INFO - Epoch(train) [13][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:23:07 time: 0.7952 data_time: 0.0314 memory: 10067 loss: 0.6644 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0363 loss_cls: 0.1759 acc: 93.7500 loss_bbox: 0.2229 loss_mask: 0.2043 +2024/01/16 11:40:45 - mmengine - INFO - Epoch(train) [13][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:22:28 time: 0.8013 data_time: 0.0362 memory: 10986 loss: 0.6169 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0299 loss_cls: 0.1599 acc: 86.9141 loss_bbox: 0.2176 loss_mask: 0.1907 +2024/01/16 11:41:24 - mmengine - INFO - Epoch(train) [13][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:21:49 time: 0.7947 data_time: 0.0378 memory: 10685 loss: 0.6627 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0384 loss_cls: 0.1805 acc: 91.6016 loss_bbox: 0.2279 loss_mask: 0.1934 +2024/01/16 11:42:04 - mmengine - INFO - Epoch(train) [13][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:21:10 time: 0.7993 data_time: 0.0372 memory: 10067 loss: 0.6736 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0332 loss_cls: 0.1888 acc: 99.0234 loss_bbox: 0.2224 loss_mask: 0.2051 +2024/01/16 11:42:44 - mmengine - INFO - Epoch(train) [13][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:20:31 time: 0.7996 data_time: 0.0339 memory: 10063 loss: 0.6832 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0372 loss_cls: 0.1775 acc: 98.8281 loss_bbox: 0.2255 loss_mask: 0.2194 +2024/01/16 11:43:24 - mmengine - INFO - Epoch(train) [13][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:19:51 time: 0.7903 data_time: 0.0326 memory: 10360 loss: 0.5521 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0207 loss_cls: 0.1499 acc: 98.0469 loss_bbox: 0.1798 loss_mask: 0.1879 +2024/01/16 11:44:04 - mmengine - INFO - Epoch(train) [13][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:19:12 time: 0.7983 data_time: 0.0357 memory: 10516 loss: 0.6861 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0375 loss_cls: 0.1818 acc: 99.6094 loss_bbox: 0.2258 loss_mask: 0.2126 +2024/01/16 11:44:44 - mmengine - INFO - Epoch(train) [13][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:18:34 time: 0.8042 data_time: 0.0364 memory: 9736 loss: 0.6125 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0375 loss_cls: 0.1579 acc: 98.4375 loss_bbox: 0.1995 loss_mask: 0.1932 +2024/01/16 11:45:23 - mmengine - INFO - Epoch(train) [13][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:17:53 time: 0.7861 data_time: 0.0301 memory: 10715 loss: 0.6633 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0321 loss_cls: 0.1880 acc: 93.1641 loss_bbox: 0.2252 loss_mask: 0.1960 +2024/01/16 11:46:03 - mmengine - INFO - Epoch(train) [13][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:17:14 time: 0.7938 data_time: 0.0302 memory: 9789 loss: 0.6154 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0294 loss_cls: 0.1631 acc: 98.4375 loss_bbox: 0.2044 loss_mask: 0.1940 +2024/01/16 11:46:34 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 11:46:42 - mmengine - INFO - Epoch(train) [13][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:16:34 time: 0.7846 data_time: 0.0314 memory: 9192 loss: 0.5815 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0257 loss_cls: 0.1438 acc: 98.0469 loss_bbox: 0.2011 loss_mask: 0.1955 +2024/01/16 11:47:22 - mmengine - INFO - Epoch(train) [13][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:15:54 time: 0.7876 data_time: 0.0359 memory: 10582 loss: 0.7122 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0341 loss_cls: 0.1885 acc: 89.0625 loss_bbox: 0.2400 loss_mask: 0.2266 +2024/01/16 11:48:01 - mmengine - INFO - Epoch(train) [13][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:15:14 time: 0.7936 data_time: 0.0352 memory: 10110 loss: 0.7585 loss_rpn_cls: 0.0303 loss_rpn_bbox: 0.0362 loss_cls: 0.2031 acc: 99.2188 loss_bbox: 0.2504 loss_mask: 0.2386 +2024/01/16 11:48:41 - mmengine - INFO - Epoch(train) [13][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:14:34 time: 0.7871 data_time: 0.0325 memory: 10067 loss: 0.5643 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0285 loss_cls: 0.1444 acc: 89.0625 loss_bbox: 0.1829 loss_mask: 0.1886 +2024/01/16 11:49:20 - mmengine - INFO - Epoch(train) [13][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:13:54 time: 0.7941 data_time: 0.0337 memory: 11517 loss: 0.6685 loss_rpn_cls: 0.0299 loss_rpn_bbox: 0.0370 loss_cls: 0.1847 acc: 97.4609 loss_bbox: 0.2133 loss_mask: 0.2036 +2024/01/16 11:50:00 - mmengine - INFO - Epoch(train) [13][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:13:14 time: 0.7883 data_time: 0.0408 memory: 11099 loss: 0.5753 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0332 loss_cls: 0.1476 acc: 99.0234 loss_bbox: 0.1912 loss_mask: 0.1763 +2024/01/16 11:50:39 - mmengine - INFO - Epoch(train) [13][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:12:34 time: 0.7838 data_time: 0.0344 memory: 10074 loss: 0.6244 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0372 loss_cls: 0.1445 acc: 99.6094 loss_bbox: 0.2105 loss_mask: 0.2096 +2024/01/16 11:51:18 - mmengine - INFO - Epoch(train) [13][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:11:54 time: 0.7866 data_time: 0.0334 memory: 10572 loss: 0.6902 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0385 loss_cls: 0.1852 acc: 93.9453 loss_bbox: 0.2368 loss_mask: 0.2019 +2024/01/16 11:51:59 - mmengine - INFO - Epoch(train) [13][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:11:15 time: 0.8022 data_time: 0.0386 memory: 11026 loss: 0.6478 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0344 loss_cls: 0.1811 acc: 89.0625 loss_bbox: 0.2085 loss_mask: 0.1972 +2024/01/16 11:52:38 - mmengine - INFO - Epoch(train) [13][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:10:35 time: 0.7856 data_time: 0.0316 memory: 10865 loss: 0.5328 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0311 loss_cls: 0.1291 acc: 96.2891 loss_bbox: 0.1732 loss_mask: 0.1856 +2024/01/16 11:53:17 - mmengine - INFO - Epoch(train) [13][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:09:55 time: 0.7915 data_time: 0.0319 memory: 10715 loss: 0.5579 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0299 loss_cls: 0.1476 acc: 98.4375 loss_bbox: 0.1817 loss_mask: 0.1765 +2024/01/16 11:53:57 - mmengine - INFO - Epoch(train) [13][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:09:16 time: 0.7964 data_time: 0.0276 memory: 9800 loss: 0.5506 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0239 loss_cls: 0.1348 acc: 97.4609 loss_bbox: 0.1928 loss_mask: 0.1866 +2024/01/16 11:54:37 - mmengine - INFO - Epoch(train) [13][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:08:36 time: 0.7889 data_time: 0.0296 memory: 10508 loss: 0.6041 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0312 loss_cls: 0.1521 acc: 100.0000 loss_bbox: 0.2073 loss_mask: 0.1963 +2024/01/16 11:55:17 - mmengine - INFO - Epoch(train) [13][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:07:57 time: 0.7999 data_time: 0.0317 memory: 10750 loss: 0.5920 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0259 loss_cls: 0.1549 acc: 100.0000 loss_bbox: 0.1989 loss_mask: 0.1961 +2024/01/16 11:55:56 - mmengine - INFO - Epoch(train) [13][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:07:16 time: 0.7822 data_time: 0.0305 memory: 10100 loss: 0.6004 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0287 loss_cls: 0.1643 acc: 92.3828 loss_bbox: 0.1918 loss_mask: 0.1912 +2024/01/16 11:56:35 - mmengine - INFO - Epoch(train) [13][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:06:36 time: 0.7819 data_time: 0.0314 memory: 10354 loss: 0.6611 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0336 loss_cls: 0.1700 acc: 99.8047 loss_bbox: 0.2269 loss_mask: 0.2010 +2024/01/16 11:57:14 - mmengine - INFO - Epoch(train) [13][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:05:55 time: 0.7845 data_time: 0.0298 memory: 10351 loss: 0.5444 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0260 loss_cls: 0.1346 acc: 96.2891 loss_bbox: 0.1830 loss_mask: 0.1872 +2024/01/16 11:57:55 - mmengine - INFO - Epoch(train) [13][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:05:17 time: 0.8076 data_time: 0.0301 memory: 10572 loss: 0.6665 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0357 loss_cls: 0.1755 acc: 88.4766 loss_bbox: 0.2153 loss_mask: 0.2123 +2024/01/16 11:58:34 - mmengine - INFO - Epoch(train) [13][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:04:37 time: 0.7908 data_time: 0.0323 memory: 9848 loss: 0.6957 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0367 loss_cls: 0.1767 acc: 94.5312 loss_bbox: 0.2369 loss_mask: 0.2214 +2024/01/16 11:59:14 - mmengine - INFO - Epoch(train) [13][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:03:57 time: 0.7902 data_time: 0.0380 memory: 8824 loss: 0.6824 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0408 loss_cls: 0.1707 acc: 93.3594 loss_bbox: 0.2209 loss_mask: 0.2234 +2024/01/16 11:59:46 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 11:59:54 - mmengine - INFO - Epoch(train) [13][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:03:18 time: 0.7991 data_time: 0.0379 memory: 10568 loss: 0.6866 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0376 loss_cls: 0.1722 acc: 96.8750 loss_bbox: 0.2374 loss_mask: 0.2155 +2024/01/16 12:00:34 - mmengine - INFO - Epoch(train) [13][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:02:41 time: 0.8124 data_time: 0.0373 memory: 10341 loss: 0.5675 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0265 loss_cls: 0.1415 acc: 86.3281 loss_bbox: 0.1840 loss_mask: 0.1966 +2024/01/16 12:01:14 - mmengine - INFO - Epoch(train) [13][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:02:01 time: 0.7887 data_time: 0.0336 memory: 11313 loss: 0.5541 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0259 loss_cls: 0.1453 acc: 98.2422 loss_bbox: 0.1898 loss_mask: 0.1769 +2024/01/16 12:01:53 - mmengine - INFO - Epoch(train) [13][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:01:21 time: 0.7943 data_time: 0.0294 memory: 9737 loss: 0.6652 loss_rpn_cls: 0.0295 loss_rpn_bbox: 0.0378 loss_cls: 0.1804 acc: 98.6328 loss_bbox: 0.2229 loss_mask: 0.1945 +2024/01/16 12:02:33 - mmengine - INFO - Epoch(train) [13][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:00:42 time: 0.7928 data_time: 0.0327 memory: 10789 loss: 0.6027 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0251 loss_cls: 0.1611 acc: 89.6484 loss_bbox: 0.2006 loss_mask: 0.1977 +2024/01/16 12:03:13 - mmengine - INFO - Epoch(train) [13][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 14:00:02 time: 0.7973 data_time: 0.0278 memory: 10508 loss: 0.5736 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0268 loss_cls: 0.1410 acc: 99.2188 loss_bbox: 0.1958 loss_mask: 0.1890 +2024/01/16 12:03:52 - mmengine - INFO - Epoch(train) [13][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:59:23 time: 0.7897 data_time: 0.0318 memory: 9417 loss: 0.6213 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0292 loss_cls: 0.1699 acc: 94.3359 loss_bbox: 0.2064 loss_mask: 0.1976 +2024/01/16 12:04:33 - mmengine - INFO - Epoch(train) [13][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:58:44 time: 0.8027 data_time: 0.0367 memory: 10572 loss: 0.6021 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0387 loss_cls: 0.1393 acc: 98.6328 loss_bbox: 0.2056 loss_mask: 0.1972 +2024/01/16 12:05:12 - mmengine - INFO - Epoch(train) [13][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:58:04 time: 0.7866 data_time: 0.0367 memory: 10067 loss: 0.6924 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0413 loss_cls: 0.1800 acc: 98.0469 loss_bbox: 0.2405 loss_mask: 0.2003 +2024/01/16 12:05:51 - mmengine - INFO - Epoch(train) [13][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:57:22 time: 0.7754 data_time: 0.0408 memory: 9737 loss: 0.7533 loss_rpn_cls: 0.0316 loss_rpn_bbox: 0.0473 loss_cls: 0.2125 acc: 91.9922 loss_bbox: 0.2505 loss_mask: 0.2115 +2024/01/16 12:06:30 - mmengine - INFO - Epoch(train) [13][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:56:42 time: 0.7792 data_time: 0.0338 memory: 8876 loss: 0.6442 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0294 loss_cls: 0.1776 acc: 88.8672 loss_bbox: 0.2116 loss_mask: 0.2000 +2024/01/16 12:07:09 - mmengine - INFO - Epoch(train) [13][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:56:01 time: 0.7871 data_time: 0.0281 memory: 10583 loss: 0.6703 loss_rpn_cls: 0.0311 loss_rpn_bbox: 0.0319 loss_cls: 0.1832 acc: 87.8906 loss_bbox: 0.2089 loss_mask: 0.2153 +2024/01/16 12:07:49 - mmengine - INFO - Epoch(train) [13][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:55:22 time: 0.7931 data_time: 0.0351 memory: 9684 loss: 0.6318 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0320 loss_cls: 0.1677 acc: 95.1172 loss_bbox: 0.2088 loss_mask: 0.2028 +2024/01/16 12:08:28 - mmengine - INFO - Epoch(train) [13][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:54:42 time: 0.7931 data_time: 0.0402 memory: 10423 loss: 0.7156 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0374 loss_cls: 0.1947 acc: 93.9453 loss_bbox: 0.2349 loss_mask: 0.2249 +2024/01/16 12:09:09 - mmengine - INFO - Epoch(train) [13][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:54:04 time: 0.8026 data_time: 0.0320 memory: 11102 loss: 0.6366 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0351 loss_cls: 0.1768 acc: 92.3828 loss_bbox: 0.2232 loss_mask: 0.1789 +2024/01/16 12:09:49 - mmengine - INFO - Epoch(train) [13][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:53:25 time: 0.7991 data_time: 0.0297 memory: 10318 loss: 0.6181 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0282 loss_cls: 0.1576 acc: 92.9688 loss_bbox: 0.2004 loss_mask: 0.2126 +2024/01/16 12:10:28 - mmengine - INFO - Epoch(train) [13][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:52:45 time: 0.7904 data_time: 0.0363 memory: 10145 loss: 0.7112 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0346 loss_cls: 0.1909 acc: 95.5078 loss_bbox: 0.2442 loss_mask: 0.2176 +2024/01/16 12:11:08 - mmengine - INFO - Epoch(train) [13][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:52:05 time: 0.7911 data_time: 0.0319 memory: 9180 loss: 0.6136 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0238 loss_cls: 0.1585 acc: 93.7500 loss_bbox: 0.1824 loss_mask: 0.2235 +2024/01/16 12:11:47 - mmengine - INFO - Epoch(train) [13][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:51:25 time: 0.7870 data_time: 0.0308 memory: 10583 loss: 0.6280 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0339 loss_cls: 0.1635 acc: 99.4141 loss_bbox: 0.2117 loss_mask: 0.1943 +2024/01/16 12:12:27 - mmengine - INFO - Epoch(train) [13][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:50:46 time: 0.8015 data_time: 0.0374 memory: 10067 loss: 0.6279 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0333 loss_cls: 0.1604 acc: 88.4766 loss_bbox: 0.2122 loss_mask: 0.1984 +2024/01/16 12:12:59 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 12:13:07 - mmengine - INFO - Epoch(train) [13][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:50:07 time: 0.7961 data_time: 0.0309 memory: 9512 loss: 0.5839 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0265 loss_cls: 0.1519 acc: 99.4141 loss_bbox: 0.1955 loss_mask: 0.1943 +2024/01/16 12:13:46 - mmengine - INFO - Epoch(train) [13][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:49:26 time: 0.7772 data_time: 0.0308 memory: 10572 loss: 0.5613 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0255 loss_cls: 0.1426 acc: 98.2422 loss_bbox: 0.1884 loss_mask: 0.1866 +2024/01/16 12:14:25 - mmengine - INFO - Epoch(train) [13][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:48:46 time: 0.7895 data_time: 0.0406 memory: 10582 loss: 0.6917 loss_rpn_cls: 0.0308 loss_rpn_bbox: 0.0419 loss_cls: 0.1788 acc: 84.5703 loss_bbox: 0.2270 loss_mask: 0.2133 +2024/01/16 12:15:05 - mmengine - INFO - Epoch(train) [13][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:48:06 time: 0.7940 data_time: 0.0372 memory: 9850 loss: 0.6363 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0336 loss_cls: 0.1664 acc: 95.1172 loss_bbox: 0.2167 loss_mask: 0.1990 +2024/01/16 12:15:46 - mmengine - INFO - Epoch(train) [13][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:47:30 time: 0.8225 data_time: 0.0354 memory: 9949 loss: 0.7739 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0491 loss_cls: 0.2186 acc: 94.9219 loss_bbox: 0.2648 loss_mask: 0.2162 +2024/01/16 12:16:25 - mmengine - INFO - Epoch(train) [13][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:46:49 time: 0.7846 data_time: 0.0295 memory: 9737 loss: 0.6318 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0318 loss_cls: 0.1593 acc: 99.4141 loss_bbox: 0.2066 loss_mask: 0.2087 +2024/01/16 12:17:05 - mmengine - INFO - Epoch(train) [13][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:46:09 time: 0.7859 data_time: 0.0361 memory: 10067 loss: 0.6247 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0322 loss_cls: 0.1660 acc: 90.4297 loss_bbox: 0.2113 loss_mask: 0.1942 +2024/01/16 12:17:44 - mmengine - INFO - Epoch(train) [13][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:45:29 time: 0.7855 data_time: 0.0317 memory: 10067 loss: 0.6632 loss_rpn_cls: 0.0349 loss_rpn_bbox: 0.0360 loss_cls: 0.1791 acc: 80.4688 loss_bbox: 0.2038 loss_mask: 0.2095 +2024/01/16 12:18:25 - mmengine - INFO - Epoch(train) [13][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:44:51 time: 0.8103 data_time: 0.0304 memory: 10582 loss: 0.7056 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0416 loss_cls: 0.1825 acc: 99.2188 loss_bbox: 0.2332 loss_mask: 0.2170 +2024/01/16 12:19:04 - mmengine - INFO - Epoch(train) [13][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:44:11 time: 0.7882 data_time: 0.0383 memory: 10568 loss: 0.7232 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0403 loss_cls: 0.2063 acc: 99.2188 loss_bbox: 0.2421 loss_mask: 0.2110 +2024/01/16 12:19:44 - mmengine - INFO - Epoch(train) [13][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:43:31 time: 0.7960 data_time: 0.0322 memory: 10201 loss: 0.5794 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0258 loss_cls: 0.1492 acc: 81.8359 loss_bbox: 0.2015 loss_mask: 0.1833 +2024/01/16 12:20:23 - mmengine - INFO - Epoch(train) [13][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:42:51 time: 0.7836 data_time: 0.0349 memory: 10572 loss: 0.6700 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0382 loss_cls: 0.1777 acc: 96.4844 loss_bbox: 0.2238 loss_mask: 0.2115 +2024/01/16 12:21:03 - mmengine - INFO - Epoch(train) [13][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:42:13 time: 0.8067 data_time: 0.0321 memory: 9734 loss: 0.6898 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0348 loss_cls: 0.1921 acc: 94.9219 loss_bbox: 0.2300 loss_mask: 0.2081 +2024/01/16 12:21:43 - mmengine - INFO - Epoch(train) [13][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:41:33 time: 0.7936 data_time: 0.0343 memory: 10067 loss: 0.7425 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0352 loss_cls: 0.2135 acc: 89.2578 loss_bbox: 0.2452 loss_mask: 0.2200 +2024/01/16 12:22:22 - mmengine - INFO - Epoch(train) [13][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:40:53 time: 0.7835 data_time: 0.0353 memory: 10568 loss: 0.6783 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0347 loss_cls: 0.1742 acc: 83.5938 loss_bbox: 0.2258 loss_mask: 0.2211 +2024/01/16 12:23:01 - mmengine - INFO - Epoch(train) [13][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:40:12 time: 0.7833 data_time: 0.0339 memory: 10207 loss: 0.6274 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0304 loss_cls: 0.1696 acc: 99.4141 loss_bbox: 0.2119 loss_mask: 0.1988 +2024/01/16 12:23:41 - mmengine - INFO - Epoch(train) [13][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:39:33 time: 0.7935 data_time: 0.0283 memory: 10278 loss: 0.5905 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0212 loss_cls: 0.1529 acc: 97.2656 loss_bbox: 0.1857 loss_mask: 0.2155 +2024/01/16 12:24:21 - mmengine - INFO - Epoch(train) [13][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:38:53 time: 0.7946 data_time: 0.0301 memory: 10067 loss: 0.5953 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0275 loss_cls: 0.1598 acc: 96.8750 loss_bbox: 0.1909 loss_mask: 0.2027 +2024/01/16 12:25:01 - mmengine - INFO - Epoch(train) [13][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:38:15 time: 0.8100 data_time: 0.0312 memory: 10582 loss: 0.5926 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0313 loss_cls: 0.1476 acc: 92.3828 loss_bbox: 0.1915 loss_mask: 0.1988 +2024/01/16 12:25:42 - mmengine - INFO - Epoch(train) [13][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:37:37 time: 0.8066 data_time: 0.0375 memory: 11375 loss: 0.7240 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0391 loss_cls: 0.1978 acc: 98.8281 loss_bbox: 0.2536 loss_mask: 0.2088 +2024/01/16 12:26:13 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 12:26:21 - mmengine - INFO - Epoch(train) [13][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:36:57 time: 0.7874 data_time: 0.0377 memory: 10571 loss: 0.7422 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0480 loss_cls: 0.1984 acc: 97.2656 loss_bbox: 0.2593 loss_mask: 0.2096 +2024/01/16 12:27:01 - mmengine - INFO - Epoch(train) [13][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:36:17 time: 0.7904 data_time: 0.0323 memory: 9910 loss: 0.5620 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0301 loss_cls: 0.1479 acc: 99.2188 loss_bbox: 0.1839 loss_mask: 0.1790 +2024/01/16 12:27:40 - mmengine - INFO - Epoch(train) [13][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:35:37 time: 0.7889 data_time: 0.0340 memory: 10568 loss: 0.7256 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0357 loss_cls: 0.2034 acc: 87.6953 loss_bbox: 0.2574 loss_mask: 0.2093 +2024/01/16 12:28:20 - mmengine - INFO - Epoch(train) [13][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:34:58 time: 0.7981 data_time: 0.0334 memory: 9736 loss: 0.6482 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0286 loss_cls: 0.1699 acc: 99.8047 loss_bbox: 0.2131 loss_mask: 0.2126 +2024/01/16 12:29:01 - mmengine - INFO - Epoch(train) [13][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:34:20 time: 0.8095 data_time: 0.0357 memory: 10568 loss: 0.5790 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0287 loss_cls: 0.1462 acc: 93.1641 loss_bbox: 0.1980 loss_mask: 0.1900 +2024/01/16 12:29:39 - mmengine - INFO - Epoch(train) [13][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:33:39 time: 0.7771 data_time: 0.0323 memory: 10582 loss: 0.6418 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0340 loss_cls: 0.1713 acc: 90.6250 loss_bbox: 0.2238 loss_mask: 0.1913 +2024/01/16 12:30:19 - mmengine - INFO - Epoch(train) [13][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:33:00 time: 0.7975 data_time: 0.0322 memory: 10067 loss: 0.6454 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0352 loss_cls: 0.1694 acc: 97.8516 loss_bbox: 0.2180 loss_mask: 0.2019 +2024/01/16 12:30:59 - mmengine - INFO - Epoch(train) [13][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:32:20 time: 0.7908 data_time: 0.0326 memory: 10624 loss: 0.6965 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0351 loss_cls: 0.1943 acc: 90.6250 loss_bbox: 0.2216 loss_mask: 0.2218 +2024/01/16 12:31:39 - mmengine - INFO - Epoch(train) [13][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:31:41 time: 0.7985 data_time: 0.0340 memory: 10292 loss: 0.6480 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0352 loss_cls: 0.1670 acc: 84.9609 loss_bbox: 0.2159 loss_mask: 0.2065 +2024/01/16 12:32:19 - mmengine - INFO - Epoch(train) [13][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:31:02 time: 0.7983 data_time: 0.0357 memory: 9698 loss: 0.5872 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0302 loss_cls: 0.1460 acc: 98.4375 loss_bbox: 0.1930 loss_mask: 0.1996 +2024/01/16 12:32:58 - mmengine - INFO - Epoch(train) [13][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:30:21 time: 0.7827 data_time: 0.0337 memory: 10865 loss: 0.6433 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0304 loss_cls: 0.1674 acc: 98.6328 loss_bbox: 0.2141 loss_mask: 0.2118 +2024/01/16 12:33:37 - mmengine - INFO - Epoch(train) [13][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:29:41 time: 0.7904 data_time: 0.0321 memory: 9949 loss: 0.6184 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0315 loss_cls: 0.1582 acc: 83.9844 loss_bbox: 0.1939 loss_mask: 0.2123 +2024/01/16 12:34:17 - mmengine - INFO - Epoch(train) [13][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:29:01 time: 0.7870 data_time: 0.0266 memory: 9737 loss: 0.6691 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0324 loss_cls: 0.1664 acc: 85.9375 loss_bbox: 0.2124 loss_mask: 0.2306 +2024/01/16 12:34:56 - mmengine - INFO - Epoch(train) [13][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:28:21 time: 0.7850 data_time: 0.0321 memory: 10275 loss: 0.6039 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0312 loss_cls: 0.1527 acc: 94.9219 loss_bbox: 0.2038 loss_mask: 0.1926 +2024/01/16 12:35:36 - mmengine - INFO - Epoch(train) [13][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:27:42 time: 0.7997 data_time: 0.0333 memory: 10460 loss: 0.5919 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0276 loss_cls: 0.1447 acc: 94.9219 loss_bbox: 0.2047 loss_mask: 0.1919 +2024/01/16 12:36:15 - mmengine - INFO - Epoch(train) [13][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:27:02 time: 0.7843 data_time: 0.0307 memory: 9949 loss: 0.5860 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0269 loss_cls: 0.1441 acc: 99.0234 loss_bbox: 0.1970 loss_mask: 0.2002 +2024/01/16 12:36:54 - mmengine - INFO - Epoch(train) [13][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:26:20 time: 0.7729 data_time: 0.0363 memory: 10179 loss: 0.6017 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0284 loss_cls: 0.1527 acc: 99.6094 loss_bbox: 0.1970 loss_mask: 0.2019 +2024/01/16 12:37:34 - mmengine - INFO - Epoch(train) [13][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:25:41 time: 0.8003 data_time: 0.0354 memory: 10572 loss: 0.5606 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0263 loss_cls: 0.1310 acc: 85.7422 loss_bbox: 0.1937 loss_mask: 0.1923 +2024/01/16 12:38:14 - mmengine - INFO - Epoch(train) [13][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:25:02 time: 0.7940 data_time: 0.0343 memory: 10655 loss: 0.6039 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0241 loss_cls: 0.1564 acc: 97.0703 loss_bbox: 0.2164 loss_mask: 0.1870 +2024/01/16 12:38:53 - mmengine - INFO - Epoch(train) [13][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:24:22 time: 0.7902 data_time: 0.0336 memory: 10262 loss: 0.6602 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0291 loss_cls: 0.1794 acc: 93.5547 loss_bbox: 0.2244 loss_mask: 0.2036 +2024/01/16 12:39:24 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 12:39:32 - mmengine - INFO - Epoch(train) [13][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:23:40 time: 0.7695 data_time: 0.0369 memory: 9736 loss: 0.7253 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0428 loss_cls: 0.1881 acc: 88.8672 loss_bbox: 0.2511 loss_mask: 0.2178 +2024/01/16 12:40:11 - mmengine - INFO - Epoch(train) [13][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:23:01 time: 0.7934 data_time: 0.0327 memory: 10067 loss: 0.6458 loss_rpn_cls: 0.0320 loss_rpn_bbox: 0.0327 loss_cls: 0.1765 acc: 97.0703 loss_bbox: 0.2045 loss_mask: 0.2001 +2024/01/16 12:40:51 - mmengine - INFO - Epoch(train) [13][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:22:21 time: 0.7970 data_time: 0.0370 memory: 9736 loss: 0.6929 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0436 loss_cls: 0.1921 acc: 84.7656 loss_bbox: 0.2244 loss_mask: 0.2060 +2024/01/16 12:41:32 - mmengine - INFO - Epoch(train) [13][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:21:43 time: 0.8089 data_time: 0.0367 memory: 11102 loss: 0.5939 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0350 loss_cls: 0.1534 acc: 100.0000 loss_bbox: 0.1876 loss_mask: 0.1994 +2024/01/16 12:42:11 - mmengine - INFO - Epoch(train) [13][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:21:03 time: 0.7805 data_time: 0.0321 memory: 10063 loss: 0.7479 loss_rpn_cls: 0.0357 loss_rpn_bbox: 0.0454 loss_cls: 0.1870 acc: 87.1094 loss_bbox: 0.2546 loss_mask: 0.2251 +2024/01/16 12:42:50 - mmengine - INFO - Epoch(train) [13][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:20:23 time: 0.7935 data_time: 0.0348 memory: 10666 loss: 0.7516 loss_rpn_cls: 0.0289 loss_rpn_bbox: 0.0402 loss_cls: 0.1879 acc: 92.3828 loss_bbox: 0.2644 loss_mask: 0.2302 +2024/01/16 12:43:30 - mmengine - INFO - Epoch(train) [13][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:19:44 time: 0.7945 data_time: 0.0333 memory: 11102 loss: 0.6878 loss_rpn_cls: 0.0369 loss_rpn_bbox: 0.0389 loss_cls: 0.1868 acc: 97.4609 loss_bbox: 0.2187 loss_mask: 0.2066 +2024/01/16 12:44:10 - mmengine - INFO - Epoch(train) [13][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:19:04 time: 0.7949 data_time: 0.0288 memory: 11392 loss: 0.5665 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0212 loss_cls: 0.1552 acc: 97.6562 loss_bbox: 0.1835 loss_mask: 0.1831 +2024/01/16 12:44:50 - mmengine - INFO - Epoch(train) [13][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:18:25 time: 0.8022 data_time: 0.0352 memory: 9599 loss: 0.6126 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0301 loss_cls: 0.1645 acc: 93.3594 loss_bbox: 0.2094 loss_mask: 0.1895 +2024/01/16 12:45:30 - mmengine - INFO - Epoch(train) [13][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:17:46 time: 0.7989 data_time: 0.0360 memory: 10882 loss: 0.6718 loss_rpn_cls: 0.0253 loss_rpn_bbox: 0.0328 loss_cls: 0.1863 acc: 91.0156 loss_bbox: 0.2177 loss_mask: 0.2097 +2024/01/16 12:46:10 - mmengine - INFO - Epoch(train) [13][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:17:08 time: 0.8064 data_time: 0.0358 memory: 10388 loss: 0.6489 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0380 loss_cls: 0.1551 acc: 90.6250 loss_bbox: 0.2071 loss_mask: 0.2300 +2024/01/16 12:46:50 - mmengine - INFO - Epoch(train) [13][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:16:28 time: 0.7889 data_time: 0.0368 memory: 10572 loss: 0.6838 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0316 loss_cls: 0.1981 acc: 99.6094 loss_bbox: 0.2231 loss_mask: 0.2114 +2024/01/16 12:47:29 - mmengine - INFO - Epoch(train) [13][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:15:48 time: 0.7870 data_time: 0.0335 memory: 10218 loss: 0.5689 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0310 loss_cls: 0.1411 acc: 98.2422 loss_bbox: 0.1945 loss_mask: 0.1816 +2024/01/16 12:48:10 - mmengine - INFO - Epoch(train) [13][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:15:10 time: 0.8126 data_time: 0.0349 memory: 10067 loss: 0.6543 loss_rpn_cls: 0.0289 loss_rpn_bbox: 0.0357 loss_cls: 0.1871 acc: 96.0938 loss_bbox: 0.2087 loss_mask: 0.1939 +2024/01/16 12:48:50 - mmengine - INFO - Epoch(train) [13][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:14:31 time: 0.7981 data_time: 0.0336 memory: 9949 loss: 0.6198 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0268 loss_cls: 0.1539 acc: 97.8516 loss_bbox: 0.2095 loss_mask: 0.2130 +2024/01/16 12:49:29 - mmengine - INFO - Epoch(train) [13][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:13:50 time: 0.7790 data_time: 0.0348 memory: 10853 loss: 0.6469 loss_rpn_cls: 0.0360 loss_rpn_bbox: 0.0331 loss_cls: 0.1648 acc: 97.0703 loss_bbox: 0.2067 loss_mask: 0.2063 +2024/01/16 12:50:08 - mmengine - INFO - Epoch(train) [13][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:13:11 time: 0.7925 data_time: 0.0348 memory: 10067 loss: 0.5501 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0371 loss_cls: 0.1390 acc: 99.2188 loss_bbox: 0.1765 loss_mask: 0.1756 +2024/01/16 12:50:48 - mmengine - INFO - Epoch(train) [13][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:12:31 time: 0.7969 data_time: 0.0345 memory: 10067 loss: 0.6649 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0395 loss_cls: 0.1756 acc: 84.9609 loss_bbox: 0.2307 loss_mask: 0.1949 +2024/01/16 12:51:28 - mmengine - INFO - Epoch(train) [13][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:11:52 time: 0.8011 data_time: 0.0326 memory: 11099 loss: 0.6827 loss_rpn_cls: 0.0342 loss_rpn_bbox: 0.0389 loss_cls: 0.1814 acc: 95.8984 loss_bbox: 0.2202 loss_mask: 0.2079 +2024/01/16 12:52:08 - mmengine - INFO - Epoch(train) [13][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:11:12 time: 0.7846 data_time: 0.0309 memory: 10582 loss: 0.6110 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0259 loss_cls: 0.1605 acc: 88.0859 loss_bbox: 0.2162 loss_mask: 0.1884 +2024/01/16 12:52:39 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 12:52:47 - mmengine - INFO - Epoch(train) [13][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:10:31 time: 0.7800 data_time: 0.0322 memory: 10525 loss: 0.7850 loss_rpn_cls: 0.0346 loss_rpn_bbox: 0.0392 loss_cls: 0.2183 acc: 93.1641 loss_bbox: 0.2669 loss_mask: 0.2261 +2024/01/16 12:53:25 - mmengine - INFO - Epoch(train) [13][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:09:50 time: 0.7767 data_time: 0.0308 memory: 9842 loss: 0.6105 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0304 loss_cls: 0.1577 acc: 100.0000 loss_bbox: 0.1846 loss_mask: 0.2095 +2024/01/16 12:54:05 - mmengine - INFO - Epoch(train) [13][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:09:11 time: 0.7979 data_time: 0.0327 memory: 9543 loss: 0.5800 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0260 loss_cls: 0.1651 acc: 88.4766 loss_bbox: 0.1806 loss_mask: 0.1868 +2024/01/16 12:54:45 - mmengine - INFO - Epoch(train) [13][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:08:32 time: 0.7986 data_time: 0.0318 memory: 10572 loss: 0.6467 loss_rpn_cls: 0.0299 loss_rpn_bbox: 0.0406 loss_cls: 0.1520 acc: 99.0234 loss_bbox: 0.2070 loss_mask: 0.2171 +2024/01/16 12:55:25 - mmengine - INFO - Epoch(train) [13][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:07:53 time: 0.8018 data_time: 0.0401 memory: 10572 loss: 0.6498 loss_rpn_cls: 0.0295 loss_rpn_bbox: 0.0369 loss_cls: 0.1817 acc: 99.6094 loss_bbox: 0.2098 loss_mask: 0.1919 +2024/01/16 12:56:06 - mmengine - INFO - Epoch(train) [13][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:07:15 time: 0.8061 data_time: 0.0341 memory: 10499 loss: 0.6084 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0353 loss_cls: 0.1584 acc: 99.8047 loss_bbox: 0.2038 loss_mask: 0.1961 +2024/01/16 12:56:30 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 12:56:30 - mmengine - INFO - Saving checkpoint at 13 epochs +2024/01/16 12:56:44 - mmengine - INFO - Epoch(val) [13][ 50/313] eta: 0:00:53 time: 0.2036 data_time: 0.0418 memory: 10067 +2024/01/16 12:56:54 - mmengine - INFO - Epoch(val) [13][100/313] eta: 0:00:42 time: 0.1957 data_time: 0.0340 memory: 2388 +2024/01/16 12:57:04 - mmengine - INFO - Epoch(val) [13][150/313] eta: 0:00:32 time: 0.2022 data_time: 0.0433 memory: 2431 +2024/01/16 12:57:14 - mmengine - INFO - Epoch(val) [13][200/313] eta: 0:00:22 time: 0.1969 data_time: 0.0344 memory: 2403 +2024/01/16 12:57:23 - mmengine - INFO - Epoch(val) [13][250/313] eta: 0:00:12 time: 0.1849 data_time: 0.0287 memory: 2431 +2024/01/16 12:57:33 - mmengine - INFO - Epoch(val) [13][300/313] eta: 0:00:02 time: 0.1953 data_time: 0.0352 memory: 2403 +2024/01/16 12:57:42 - mmengine - INFO - Evaluating bbox... +2024/01/16 12:58:07 - mmengine - INFO - bbox_mAP_copypaste: 0.468 0.690 0.511 0.306 0.505 0.617 +2024/01/16 12:58:07 - mmengine - INFO - Evaluating segm... +2024/01/16 12:58:35 - mmengine - INFO - segm_mAP_copypaste: 0.418 0.657 0.450 0.220 0.450 0.614 +2024/01/16 12:58:35 - mmengine - INFO - Epoch(val) [13][313/313] coco/bbox_mAP: 0.4680 coco/bbox_mAP_50: 0.6900 coco/bbox_mAP_75: 0.5110 coco/bbox_mAP_s: 0.3060 coco/bbox_mAP_m: 0.5050 coco/bbox_mAP_l: 0.6170 coco/segm_mAP: 0.4180 coco/segm_mAP_50: 0.6570 coco/segm_mAP_75: 0.4500 coco/segm_mAP_s: 0.2200 coco/segm_mAP_m: 0.4500 coco/segm_mAP_l: 0.6140 data_time: 0.0348 time: 0.1947 +2024/01/16 12:59:16 - mmengine - INFO - Epoch(train) [14][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:06:14 time: 0.8117 data_time: 0.0493 memory: 11102 loss: 0.6070 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0280 loss_cls: 0.1529 acc: 99.6094 loss_bbox: 0.2023 loss_mask: 0.1976 +2024/01/16 12:59:55 - mmengine - INFO - Epoch(train) [14][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:05:34 time: 0.7879 data_time: 0.0319 memory: 10572 loss: 0.5768 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0318 loss_cls: 0.1334 acc: 90.4297 loss_bbox: 0.1989 loss_mask: 0.1948 +2024/01/16 13:00:35 - mmengine - INFO - Epoch(train) [14][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:04:54 time: 0.7928 data_time: 0.0378 memory: 10067 loss: 0.6606 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0371 loss_cls: 0.1672 acc: 100.0000 loss_bbox: 0.2063 loss_mask: 0.2252 +2024/01/16 13:01:14 - mmengine - INFO - Epoch(train) [14][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:04:13 time: 0.7762 data_time: 0.0401 memory: 10486 loss: 0.7680 loss_rpn_cls: 0.0330 loss_rpn_bbox: 0.0501 loss_cls: 0.2123 acc: 97.2656 loss_bbox: 0.2579 loss_mask: 0.2147 +2024/01/16 13:01:53 - mmengine - INFO - Epoch(train) [14][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:03:33 time: 0.7877 data_time: 0.0385 memory: 10067 loss: 0.7222 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0454 loss_cls: 0.1892 acc: 90.0391 loss_bbox: 0.2414 loss_mask: 0.2179 +2024/01/16 13:02:33 - mmengine - INFO - Epoch(train) [14][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:02:54 time: 0.7962 data_time: 0.0341 memory: 10238 loss: 0.5992 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0296 loss_cls: 0.1482 acc: 98.2422 loss_bbox: 0.2018 loss_mask: 0.2025 +2024/01/16 13:03:13 - mmengine - INFO - Epoch(train) [14][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:02:16 time: 0.8104 data_time: 0.0373 memory: 9736 loss: 0.6537 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0325 loss_cls: 0.1854 acc: 100.0000 loss_bbox: 0.2230 loss_mask: 0.1885 +2024/01/16 13:03:53 - mmengine - INFO - Epoch(train) [14][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:01:37 time: 0.7982 data_time: 0.0334 memory: 9693 loss: 0.6782 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0319 loss_cls: 0.1774 acc: 91.9922 loss_bbox: 0.2309 loss_mask: 0.2185 +2024/01/16 13:04:33 - mmengine - INFO - Epoch(train) [14][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:00:57 time: 0.7888 data_time: 0.0274 memory: 10013 loss: 0.6610 loss_rpn_cls: 0.0285 loss_rpn_bbox: 0.0335 loss_cls: 0.1725 acc: 97.8516 loss_bbox: 0.2179 loss_mask: 0.2086 +2024/01/16 13:05:12 - mmengine - INFO - Epoch(train) [14][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 13:00:16 time: 0.7777 data_time: 0.0345 memory: 11023 loss: 0.6194 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0321 loss_cls: 0.1607 acc: 90.4297 loss_bbox: 0.2096 loss_mask: 0.1992 +2024/01/16 13:05:52 - mmengine - INFO - Epoch(train) [14][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:59:37 time: 0.7972 data_time: 0.0339 memory: 10299 loss: 0.6403 loss_rpn_cls: 0.0295 loss_rpn_bbox: 0.0316 loss_cls: 0.1535 acc: 95.3125 loss_bbox: 0.2013 loss_mask: 0.2243 +2024/01/16 13:06:32 - mmengine - INFO - Epoch(train) [14][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:58:58 time: 0.8021 data_time: 0.0300 memory: 9841 loss: 0.6066 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0335 loss_cls: 0.1455 acc: 99.6094 loss_bbox: 0.1965 loss_mask: 0.2150 +2024/01/16 13:07:12 - mmengine - INFO - Epoch(train) [14][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:58:19 time: 0.8077 data_time: 0.0338 memory: 10165 loss: 0.6262 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0283 loss_cls: 0.1714 acc: 91.7969 loss_bbox: 0.2109 loss_mask: 0.1968 +2024/01/16 13:07:52 - mmengine - INFO - Epoch(train) [14][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:57:39 time: 0.7876 data_time: 0.0326 memory: 10067 loss: 0.5045 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0302 loss_cls: 0.1219 acc: 88.2812 loss_bbox: 0.1654 loss_mask: 0.1684 +2024/01/16 13:07:59 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 13:08:31 - mmengine - INFO - Epoch(train) [14][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:57:00 time: 0.7923 data_time: 0.0303 memory: 9800 loss: 0.5021 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0225 loss_cls: 0.1239 acc: 98.6328 loss_bbox: 0.1647 loss_mask: 0.1766 +2024/01/16 13:09:11 - mmengine - INFO - Epoch(train) [14][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:56:20 time: 0.7903 data_time: 0.0373 memory: 9285 loss: 0.6225 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0330 loss_cls: 0.1571 acc: 99.4141 loss_bbox: 0.2101 loss_mask: 0.1982 +2024/01/16 13:09:50 - mmengine - INFO - Epoch(train) [14][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:55:40 time: 0.7939 data_time: 0.0326 memory: 10067 loss: 0.6038 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0280 loss_cls: 0.1592 acc: 99.6094 loss_bbox: 0.2105 loss_mask: 0.1833 +2024/01/16 13:10:29 - mmengine - INFO - Epoch(train) [14][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:54:59 time: 0.7686 data_time: 0.0287 memory: 9904 loss: 0.6141 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0342 loss_cls: 0.1624 acc: 98.0469 loss_bbox: 0.2021 loss_mask: 0.1956 +2024/01/16 13:11:08 - mmengine - INFO - Epoch(train) [14][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:54:19 time: 0.7896 data_time: 0.0354 memory: 10572 loss: 0.6724 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0360 loss_cls: 0.1866 acc: 98.8281 loss_bbox: 0.2249 loss_mask: 0.2041 +2024/01/16 13:11:48 - mmengine - INFO - Epoch(train) [14][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:53:39 time: 0.7894 data_time: 0.0292 memory: 10572 loss: 0.5409 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0296 loss_cls: 0.1275 acc: 99.8047 loss_bbox: 0.1777 loss_mask: 0.1888 +2024/01/16 13:12:27 - mmengine - INFO - Epoch(train) [14][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:52:59 time: 0.7831 data_time: 0.0333 memory: 10572 loss: 0.5766 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0354 loss_cls: 0.1555 acc: 98.8281 loss_bbox: 0.1932 loss_mask: 0.1741 +2024/01/16 13:13:07 - mmengine - INFO - Epoch(train) [14][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:52:19 time: 0.7916 data_time: 0.0288 memory: 11386 loss: 0.5022 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0230 loss_cls: 0.1251 acc: 99.8047 loss_bbox: 0.1540 loss_mask: 0.1768 +2024/01/16 13:13:47 - mmengine - INFO - Epoch(train) [14][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:51:40 time: 0.7985 data_time: 0.0311 memory: 10060 loss: 0.6084 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0364 loss_cls: 0.1622 acc: 89.8438 loss_bbox: 0.1965 loss_mask: 0.1906 +2024/01/16 13:14:26 - mmengine - INFO - Epoch(train) [14][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:51:00 time: 0.7912 data_time: 0.0321 memory: 10572 loss: 0.5488 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0255 loss_cls: 0.1369 acc: 99.2188 loss_bbox: 0.1834 loss_mask: 0.1841 +2024/01/16 13:15:05 - mmengine - INFO - Epoch(train) [14][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:50:18 time: 0.7705 data_time: 0.0337 memory: 10067 loss: 0.5205 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0268 loss_cls: 0.1348 acc: 92.3828 loss_bbox: 0.1705 loss_mask: 0.1740 +2024/01/16 13:15:44 - mmengine - INFO - Epoch(train) [14][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:49:38 time: 0.7801 data_time: 0.0330 memory: 10067 loss: 0.7042 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0336 loss_cls: 0.1861 acc: 95.1172 loss_bbox: 0.2350 loss_mask: 0.2268 +2024/01/16 13:16:23 - mmengine - INFO - Epoch(train) [14][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:48:57 time: 0.7821 data_time: 0.0270 memory: 9897 loss: 0.5613 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0292 loss_cls: 0.1462 acc: 99.4141 loss_bbox: 0.1853 loss_mask: 0.1837 +2024/01/16 13:17:02 - mmengine - INFO - Epoch(train) [14][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:48:17 time: 0.7876 data_time: 0.0311 memory: 10387 loss: 0.6500 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0308 loss_cls: 0.1735 acc: 100.0000 loss_bbox: 0.2128 loss_mask: 0.2089 +2024/01/16 13:17:42 - mmengine - INFO - Epoch(train) [14][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:47:37 time: 0.7893 data_time: 0.0333 memory: 10572 loss: 0.6180 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0379 loss_cls: 0.1514 acc: 92.3828 loss_bbox: 0.2079 loss_mask: 0.1956 +2024/01/16 13:18:21 - mmengine - INFO - Epoch(train) [14][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:46:57 time: 0.7808 data_time: 0.0323 memory: 10572 loss: 0.6556 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0359 loss_cls: 0.1816 acc: 94.7266 loss_bbox: 0.2311 loss_mask: 0.1855 +2024/01/16 13:19:01 - mmengine - INFO - Epoch(train) [14][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:46:17 time: 0.7956 data_time: 0.0334 memory: 9733 loss: 0.6086 loss_rpn_cls: 0.0294 loss_rpn_bbox: 0.0299 loss_cls: 0.1438 acc: 94.3359 loss_bbox: 0.1907 loss_mask: 0.2149 +2024/01/16 13:19:40 - mmengine - INFO - Epoch(train) [14][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:45:37 time: 0.7881 data_time: 0.0344 memory: 10067 loss: 0.6140 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0383 loss_cls: 0.1572 acc: 98.8281 loss_bbox: 0.2136 loss_mask: 0.1825 +2024/01/16 13:20:19 - mmengine - INFO - Epoch(train) [14][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:44:57 time: 0.7881 data_time: 0.0294 memory: 10178 loss: 0.6183 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0297 loss_cls: 0.1595 acc: 99.4141 loss_bbox: 0.2082 loss_mask: 0.2038 +2024/01/16 13:20:59 - mmengine - INFO - Epoch(train) [14][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:44:18 time: 0.8013 data_time: 0.0342 memory: 10106 loss: 0.6708 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0298 loss_cls: 0.1847 acc: 94.1406 loss_bbox: 0.2246 loss_mask: 0.2095 +2024/01/16 13:21:07 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 13:21:38 - mmengine - INFO - Epoch(train) [14][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:43:37 time: 0.7748 data_time: 0.0353 memory: 10572 loss: 0.6352 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0330 loss_cls: 0.1597 acc: 89.2578 loss_bbox: 0.2207 loss_mask: 0.2035 +2024/01/16 13:22:19 - mmengine - INFO - Epoch(train) [14][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:42:59 time: 0.8072 data_time: 0.0321 memory: 10436 loss: 0.6336 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0314 loss_cls: 0.1702 acc: 87.5000 loss_bbox: 0.2138 loss_mask: 0.1964 +2024/01/16 13:22:58 - mmengine - INFO - Epoch(train) [14][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:42:19 time: 0.7955 data_time: 0.0320 memory: 9360 loss: 0.6712 loss_rpn_cls: 0.0306 loss_rpn_bbox: 0.0371 loss_cls: 0.1725 acc: 90.4297 loss_bbox: 0.2122 loss_mask: 0.2188 +2024/01/16 13:23:38 - mmengine - INFO - Epoch(train) [14][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:41:39 time: 0.7878 data_time: 0.0335 memory: 10067 loss: 0.5923 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0289 loss_cls: 0.1455 acc: 99.2188 loss_bbox: 0.2013 loss_mask: 0.1977 +2024/01/16 13:24:17 - mmengine - INFO - Epoch(train) [14][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:40:59 time: 0.7821 data_time: 0.0294 memory: 10153 loss: 0.6029 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0291 loss_cls: 0.1589 acc: 100.0000 loss_bbox: 0.1921 loss_mask: 0.2046 +2024/01/16 13:24:57 - mmengine - INFO - Epoch(train) [14][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:40:21 time: 0.8106 data_time: 0.0339 memory: 10516 loss: 0.7379 loss_rpn_cls: 0.0315 loss_rpn_bbox: 0.0349 loss_cls: 0.2029 acc: 87.3047 loss_bbox: 0.2579 loss_mask: 0.2106 +2024/01/16 13:25:37 - mmengine - INFO - Epoch(train) [14][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:39:42 time: 0.7978 data_time: 0.0309 memory: 10327 loss: 0.6474 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0289 loss_cls: 0.1680 acc: 99.8047 loss_bbox: 0.2163 loss_mask: 0.2135 +2024/01/16 13:26:17 - mmengine - INFO - Epoch(train) [14][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:39:02 time: 0.7935 data_time: 0.0342 memory: 10572 loss: 0.6605 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0438 loss_cls: 0.1739 acc: 97.0703 loss_bbox: 0.2136 loss_mask: 0.2076 +2024/01/16 13:26:57 - mmengine - INFO - Epoch(train) [14][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:38:23 time: 0.7956 data_time: 0.0319 memory: 10067 loss: 0.6329 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0325 loss_cls: 0.1661 acc: 98.8281 loss_bbox: 0.2162 loss_mask: 0.1941 +2024/01/16 13:27:36 - mmengine - INFO - Epoch(train) [14][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:37:43 time: 0.7909 data_time: 0.0282 memory: 11102 loss: 0.5618 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0259 loss_cls: 0.1365 acc: 99.6094 loss_bbox: 0.1841 loss_mask: 0.1930 +2024/01/16 13:28:16 - mmengine - INFO - Epoch(train) [14][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:37:04 time: 0.7974 data_time: 0.0247 memory: 10067 loss: 0.5326 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0197 loss_cls: 0.1329 acc: 87.6953 loss_bbox: 0.1789 loss_mask: 0.1896 +2024/01/16 13:28:55 - mmengine - INFO - Epoch(train) [14][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:36:23 time: 0.7810 data_time: 0.0330 memory: 10788 loss: 0.7054 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0324 loss_cls: 0.2004 acc: 95.1172 loss_bbox: 0.2382 loss_mask: 0.2071 +2024/01/16 13:29:36 - mmengine - INFO - Epoch(train) [14][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:35:45 time: 0.8096 data_time: 0.0250 memory: 10307 loss: 0.5825 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0241 loss_cls: 0.1441 acc: 97.6562 loss_bbox: 0.1791 loss_mask: 0.2168 +2024/01/16 13:30:16 - mmengine - INFO - Epoch(train) [14][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:35:06 time: 0.7981 data_time: 0.0318 memory: 11033 loss: 0.6084 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0311 loss_cls: 0.1652 acc: 97.2656 loss_bbox: 0.1970 loss_mask: 0.1873 +2024/01/16 13:30:55 - mmengine - INFO - Epoch(train) [14][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:34:26 time: 0.7924 data_time: 0.0370 memory: 10431 loss: 0.7453 loss_rpn_cls: 0.0343 loss_rpn_bbox: 0.0432 loss_cls: 0.1951 acc: 85.3516 loss_bbox: 0.2402 loss_mask: 0.2325 +2024/01/16 13:31:35 - mmengine - INFO - Epoch(train) [14][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:33:47 time: 0.7930 data_time: 0.0328 memory: 9737 loss: 0.6802 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0295 loss_cls: 0.1893 acc: 94.1406 loss_bbox: 0.2234 loss_mask: 0.2155 +2024/01/16 13:32:15 - mmengine - INFO - Epoch(train) [14][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:33:07 time: 0.7902 data_time: 0.0332 memory: 10087 loss: 0.5454 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0278 loss_cls: 0.1244 acc: 94.5312 loss_bbox: 0.1788 loss_mask: 0.1954 +2024/01/16 13:32:55 - mmengine - INFO - Epoch(train) [14][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:32:28 time: 0.8012 data_time: 0.0364 memory: 9601 loss: 0.6871 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0323 loss_cls: 0.1865 acc: 98.0469 loss_bbox: 0.2332 loss_mask: 0.2103 +2024/01/16 13:33:35 - mmengine - INFO - Epoch(train) [14][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:31:49 time: 0.7979 data_time: 0.0284 memory: 10113 loss: 0.6104 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0272 loss_cls: 0.1585 acc: 92.7734 loss_bbox: 0.2084 loss_mask: 0.1901 +2024/01/16 13:34:14 - mmengine - INFO - Epoch(train) [14][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:31:10 time: 0.7964 data_time: 0.0414 memory: 10277 loss: 0.7169 loss_rpn_cls: 0.0350 loss_rpn_bbox: 0.0403 loss_cls: 0.1993 acc: 99.0234 loss_bbox: 0.2321 loss_mask: 0.2101 +2024/01/16 13:34:22 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 13:34:54 - mmengine - INFO - Epoch(train) [14][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:30:30 time: 0.7975 data_time: 0.0376 memory: 10512 loss: 0.6909 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0388 loss_cls: 0.1909 acc: 90.8203 loss_bbox: 0.2220 loss_mask: 0.2180 +2024/01/16 13:35:35 - mmengine - INFO - Epoch(train) [14][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:29:52 time: 0.8032 data_time: 0.0338 memory: 9459 loss: 0.5269 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0207 loss_cls: 0.1289 acc: 90.8203 loss_bbox: 0.1803 loss_mask: 0.1855 +2024/01/16 13:36:14 - mmengine - INFO - Epoch(train) [14][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:29:12 time: 0.7892 data_time: 0.0313 memory: 9949 loss: 0.5812 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0250 loss_cls: 0.1533 acc: 93.5547 loss_bbox: 0.1836 loss_mask: 0.2005 +2024/01/16 13:36:53 - mmengine - INFO - Epoch(train) [14][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:28:32 time: 0.7871 data_time: 0.0356 memory: 10636 loss: 0.6511 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0305 loss_cls: 0.1765 acc: 95.3125 loss_bbox: 0.2113 loss_mask: 0.2138 +2024/01/16 13:37:34 - mmengine - INFO - Epoch(train) [14][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:27:53 time: 0.8050 data_time: 0.0324 memory: 11099 loss: 0.6888 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0376 loss_cls: 0.1930 acc: 99.4141 loss_bbox: 0.2175 loss_mask: 0.2155 +2024/01/16 13:38:14 - mmengine - INFO - Epoch(train) [14][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:27:14 time: 0.7971 data_time: 0.0314 memory: 10583 loss: 0.5777 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0255 loss_cls: 0.1455 acc: 91.6016 loss_bbox: 0.1948 loss_mask: 0.1994 +2024/01/16 13:38:54 - mmengine - INFO - Epoch(train) [14][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:26:35 time: 0.8039 data_time: 0.0337 memory: 9486 loss: 0.6766 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0324 loss_cls: 0.1737 acc: 87.8906 loss_bbox: 0.2321 loss_mask: 0.2212 +2024/01/16 13:39:33 - mmengine - INFO - Epoch(train) [14][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:25:55 time: 0.7847 data_time: 0.0308 memory: 11002 loss: 0.6167 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0308 loss_cls: 0.1512 acc: 99.0234 loss_bbox: 0.1987 loss_mask: 0.2160 +2024/01/16 13:40:12 - mmengine - INFO - Epoch(train) [14][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:25:15 time: 0.7873 data_time: 0.0319 memory: 10107 loss: 0.5744 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0312 loss_cls: 0.1431 acc: 92.1875 loss_bbox: 0.1874 loss_mask: 0.1954 +2024/01/16 13:40:52 - mmengine - INFO - Epoch(train) [14][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:24:35 time: 0.7876 data_time: 0.0347 memory: 10512 loss: 0.6716 loss_rpn_cls: 0.0333 loss_rpn_bbox: 0.0387 loss_cls: 0.1637 acc: 93.9453 loss_bbox: 0.2165 loss_mask: 0.2193 +2024/01/16 13:41:31 - mmengine - INFO - Epoch(train) [14][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:23:55 time: 0.7939 data_time: 0.0308 memory: 9459 loss: 0.5588 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0254 loss_cls: 0.1262 acc: 86.3281 loss_bbox: 0.1921 loss_mask: 0.1995 +2024/01/16 13:42:11 - mmengine - INFO - Epoch(train) [14][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:23:15 time: 0.7828 data_time: 0.0378 memory: 10396 loss: 0.7931 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0407 loss_cls: 0.2200 acc: 86.5234 loss_bbox: 0.2720 loss_mask: 0.2336 +2024/01/16 13:42:50 - mmengine - INFO - Epoch(train) [14][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:22:35 time: 0.7908 data_time: 0.0325 memory: 9344 loss: 0.6681 loss_rpn_cls: 0.0271 loss_rpn_bbox: 0.0427 loss_cls: 0.1898 acc: 99.4141 loss_bbox: 0.2168 loss_mask: 0.1917 +2024/01/16 13:43:30 - mmengine - INFO - Epoch(train) [14][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:21:56 time: 0.7945 data_time: 0.0324 memory: 10067 loss: 0.6968 loss_rpn_cls: 0.0358 loss_rpn_bbox: 0.0434 loss_cls: 0.1760 acc: 94.7266 loss_bbox: 0.2181 loss_mask: 0.2236 +2024/01/16 13:44:10 - mmengine - INFO - Epoch(train) [14][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:21:17 time: 0.8048 data_time: 0.0345 memory: 10572 loss: 0.6623 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0309 loss_cls: 0.1723 acc: 99.8047 loss_bbox: 0.2147 loss_mask: 0.2189 +2024/01/16 13:44:50 - mmengine - INFO - Epoch(train) [14][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:20:37 time: 0.7908 data_time: 0.0290 memory: 9709 loss: 0.5660 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0332 loss_cls: 0.1414 acc: 98.2422 loss_bbox: 0.1812 loss_mask: 0.1925 +2024/01/16 13:45:30 - mmengine - INFO - Epoch(train) [14][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:19:58 time: 0.7991 data_time: 0.0385 memory: 10391 loss: 0.6420 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0338 loss_cls: 0.1855 acc: 78.9062 loss_bbox: 0.1949 loss_mask: 0.2012 +2024/01/16 13:46:10 - mmengine - INFO - Epoch(train) [14][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:19:19 time: 0.8013 data_time: 0.0372 memory: 10067 loss: 0.6591 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0333 loss_cls: 0.1752 acc: 88.4766 loss_bbox: 0.2297 loss_mask: 0.1970 +2024/01/16 13:46:50 - mmengine - INFO - Epoch(train) [14][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:18:40 time: 0.8002 data_time: 0.0320 memory: 9949 loss: 0.6267 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0296 loss_cls: 0.1722 acc: 89.0625 loss_bbox: 0.2077 loss_mask: 0.1959 +2024/01/16 13:47:29 - mmengine - INFO - Epoch(train) [14][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:18:00 time: 0.7827 data_time: 0.0295 memory: 8824 loss: 0.5560 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0314 loss_cls: 0.1387 acc: 90.2344 loss_bbox: 0.1784 loss_mask: 0.1870 +2024/01/16 13:47:37 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 13:48:09 - mmengine - INFO - Epoch(train) [14][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:17:21 time: 0.8023 data_time: 0.0299 memory: 10299 loss: 0.6163 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0287 loss_cls: 0.1666 acc: 76.7578 loss_bbox: 0.2099 loss_mask: 0.1905 +2024/01/16 13:48:48 - mmengine - INFO - Epoch(train) [14][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:16:41 time: 0.7850 data_time: 0.0305 memory: 10153 loss: 0.5954 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0272 loss_cls: 0.1581 acc: 99.0234 loss_bbox: 0.1967 loss_mask: 0.1924 +2024/01/16 13:49:28 - mmengine - INFO - Epoch(train) [14][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:16:01 time: 0.7940 data_time: 0.0344 memory: 9530 loss: 0.6214 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0300 loss_cls: 0.1696 acc: 95.5078 loss_bbox: 0.1920 loss_mask: 0.2046 +2024/01/16 13:50:08 - mmengine - INFO - Epoch(train) [14][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:15:23 time: 0.8069 data_time: 0.0377 memory: 10568 loss: 0.5772 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0328 loss_cls: 0.1466 acc: 94.3359 loss_bbox: 0.1855 loss_mask: 0.1952 +2024/01/16 13:50:48 - mmengine - INFO - Epoch(train) [14][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:14:43 time: 0.7964 data_time: 0.0315 memory: 10572 loss: 0.5973 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0274 loss_cls: 0.1629 acc: 91.7969 loss_bbox: 0.1990 loss_mask: 0.1916 +2024/01/16 13:51:28 - mmengine - INFO - Epoch(train) [14][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:14:04 time: 0.7958 data_time: 0.0330 memory: 11101 loss: 0.6083 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0322 loss_cls: 0.1523 acc: 80.4688 loss_bbox: 0.1962 loss_mask: 0.2053 +2024/01/16 13:52:08 - mmengine - INFO - Epoch(train) [14][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:13:25 time: 0.8041 data_time: 0.0325 memory: 10067 loss: 0.5467 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0281 loss_cls: 0.1404 acc: 95.8984 loss_bbox: 0.1856 loss_mask: 0.1755 +2024/01/16 13:52:49 - mmengine - INFO - Epoch(train) [14][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:12:47 time: 0.8035 data_time: 0.0341 memory: 11102 loss: 0.6397 loss_rpn_cls: 0.0287 loss_rpn_bbox: 0.0346 loss_cls: 0.1625 acc: 96.8750 loss_bbox: 0.2115 loss_mask: 0.2023 +2024/01/16 13:53:28 - mmengine - INFO - Epoch(train) [14][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:12:07 time: 0.7918 data_time: 0.0328 memory: 10568 loss: 0.6791 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0329 loss_cls: 0.1668 acc: 90.8203 loss_bbox: 0.2156 loss_mask: 0.2442 +2024/01/16 13:54:08 - mmengine - INFO - Epoch(train) [14][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:11:28 time: 0.8033 data_time: 0.0406 memory: 10278 loss: 0.7193 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0406 loss_cls: 0.1863 acc: 93.9453 loss_bbox: 0.2418 loss_mask: 0.2206 +2024/01/16 13:54:48 - mmengine - INFO - Epoch(train) [14][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:10:48 time: 0.7888 data_time: 0.0329 memory: 10067 loss: 0.6452 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0347 loss_cls: 0.1845 acc: 94.7266 loss_bbox: 0.2033 loss_mask: 0.1969 +2024/01/16 13:55:27 - mmengine - INFO - Epoch(train) [14][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:10:09 time: 0.7910 data_time: 0.0321 memory: 10572 loss: 0.6535 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0349 loss_cls: 0.1700 acc: 99.8047 loss_bbox: 0.2171 loss_mask: 0.2106 +2024/01/16 13:56:07 - mmengine - INFO - Epoch(train) [14][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:09:29 time: 0.7978 data_time: 0.0364 memory: 10712 loss: 0.6780 loss_rpn_cls: 0.0317 loss_rpn_bbox: 0.0381 loss_cls: 0.1673 acc: 97.2656 loss_bbox: 0.2255 loss_mask: 0.2153 +2024/01/16 13:56:47 - mmengine - INFO - Epoch(train) [14][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:08:50 time: 0.8001 data_time: 0.0353 memory: 10572 loss: 0.6616 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0371 loss_cls: 0.1744 acc: 99.4141 loss_bbox: 0.2271 loss_mask: 0.1976 +2024/01/16 13:57:28 - mmengine - INFO - Epoch(train) [14][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:08:12 time: 0.8072 data_time: 0.0383 memory: 10295 loss: 0.6523 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0295 loss_cls: 0.1749 acc: 92.5781 loss_bbox: 0.2228 loss_mask: 0.2049 +2024/01/16 13:58:07 - mmengine - INFO - Epoch(train) [14][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:07:32 time: 0.7839 data_time: 0.0317 memory: 9736 loss: 0.6430 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0388 loss_cls: 0.1702 acc: 97.0703 loss_bbox: 0.2114 loss_mask: 0.2021 +2024/01/16 13:58:47 - mmengine - INFO - Epoch(train) [14][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:06:52 time: 0.7949 data_time: 0.0379 memory: 10986 loss: 0.6310 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0359 loss_cls: 0.1579 acc: 93.7500 loss_bbox: 0.2122 loss_mask: 0.2022 +2024/01/16 13:59:27 - mmengine - INFO - Epoch(train) [14][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:06:13 time: 0.7979 data_time: 0.0324 memory: 9800 loss: 0.5991 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0344 loss_cls: 0.1480 acc: 99.6094 loss_bbox: 0.2069 loss_mask: 0.1854 +2024/01/16 14:00:06 - mmengine - INFO - Epoch(train) [14][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:05:33 time: 0.7904 data_time: 0.0341 memory: 10377 loss: 0.6584 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0260 loss_cls: 0.1605 acc: 79.1016 loss_bbox: 0.2243 loss_mask: 0.2265 +2024/01/16 14:00:46 - mmengine - INFO - Epoch(train) [14][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:04:53 time: 0.7887 data_time: 0.0328 memory: 9946 loss: 0.6077 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0296 loss_cls: 0.1538 acc: 99.6094 loss_bbox: 0.2033 loss_mask: 0.2000 +2024/01/16 14:00:53 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 14:01:25 - mmengine - INFO - Epoch(train) [14][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:04:14 time: 0.7937 data_time: 0.0332 memory: 9459 loss: 0.6112 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0382 loss_cls: 0.1673 acc: 99.0234 loss_bbox: 0.2014 loss_mask: 0.1838 +2024/01/16 14:02:05 - mmengine - INFO - Epoch(train) [14][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:03:35 time: 0.8026 data_time: 0.0313 memory: 10158 loss: 0.6771 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0370 loss_cls: 0.1961 acc: 93.5547 loss_bbox: 0.2157 loss_mask: 0.2040 +2024/01/16 14:02:45 - mmengine - INFO - Epoch(train) [14][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:02:55 time: 0.7941 data_time: 0.0357 memory: 10986 loss: 0.6338 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0245 loss_cls: 0.1660 acc: 93.1641 loss_bbox: 0.2093 loss_mask: 0.2098 +2024/01/16 14:03:25 - mmengine - INFO - Epoch(train) [14][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:02:16 time: 0.7915 data_time: 0.0256 memory: 9371 loss: 0.5683 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0241 loss_cls: 0.1595 acc: 98.8281 loss_bbox: 0.1722 loss_mask: 0.1914 +2024/01/16 14:04:04 - mmengine - INFO - Epoch(train) [14][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:01:36 time: 0.7932 data_time: 0.0322 memory: 11102 loss: 0.6631 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0287 loss_cls: 0.1789 acc: 86.7188 loss_bbox: 0.2275 loss_mask: 0.2074 +2024/01/16 14:04:44 - mmengine - INFO - Epoch(train) [14][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:00:56 time: 0.7909 data_time: 0.0354 memory: 10788 loss: 0.6176 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0294 loss_cls: 0.1674 acc: 98.0469 loss_bbox: 0.2041 loss_mask: 0.1916 +2024/01/16 14:05:24 - mmengine - INFO - Epoch(train) [14][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 12:00:17 time: 0.7996 data_time: 0.0314 memory: 10572 loss: 0.6328 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0343 loss_cls: 0.1628 acc: 90.6250 loss_bbox: 0.2069 loss_mask: 0.2045 +2024/01/16 14:06:04 - mmengine - INFO - Epoch(train) [14][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:59:38 time: 0.7995 data_time: 0.0292 memory: 9364 loss: 0.5634 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0286 loss_cls: 0.1485 acc: 100.0000 loss_bbox: 0.1752 loss_mask: 0.1835 +2024/01/16 14:06:43 - mmengine - INFO - Epoch(train) [14][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:58:58 time: 0.7894 data_time: 0.0308 memory: 10436 loss: 0.5729 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0262 loss_cls: 0.1551 acc: 98.4375 loss_bbox: 0.1869 loss_mask: 0.1858 +2024/01/16 14:07:23 - mmengine - INFO - Epoch(train) [14][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:58:19 time: 0.7928 data_time: 0.0306 memory: 10067 loss: 0.6829 loss_rpn_cls: 0.0312 loss_rpn_bbox: 0.0363 loss_cls: 0.1900 acc: 85.9375 loss_bbox: 0.2319 loss_mask: 0.1935 +2024/01/16 14:08:03 - mmengine - INFO - Epoch(train) [14][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:57:39 time: 0.7938 data_time: 0.0344 memory: 10207 loss: 0.6238 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0285 loss_cls: 0.1599 acc: 97.2656 loss_bbox: 0.2133 loss_mask: 0.2040 +2024/01/16 14:08:42 - mmengine - INFO - Epoch(train) [14][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:56:58 time: 0.7780 data_time: 0.0326 memory: 10067 loss: 0.6084 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0322 loss_cls: 0.1511 acc: 83.7891 loss_bbox: 0.2085 loss_mask: 0.1985 +2024/01/16 14:09:22 - mmengine - INFO - Epoch(train) [14][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:56:20 time: 0.8057 data_time: 0.0372 memory: 9654 loss: 0.6538 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0386 loss_cls: 0.1668 acc: 89.0625 loss_bbox: 0.2200 loss_mask: 0.2062 +2024/01/16 14:10:02 - mmengine - INFO - Epoch(train) [14][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:55:42 time: 0.8099 data_time: 0.0317 memory: 10788 loss: 0.5814 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0338 loss_cls: 0.1384 acc: 94.1406 loss_bbox: 0.1876 loss_mask: 0.2004 +2024/01/16 14:10:42 - mmengine - INFO - Epoch(train) [14][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:55:02 time: 0.7919 data_time: 0.0307 memory: 10067 loss: 0.6408 loss_rpn_cls: 0.0278 loss_rpn_bbox: 0.0319 loss_cls: 0.1602 acc: 99.2188 loss_bbox: 0.2181 loss_mask: 0.2028 +2024/01/16 14:11:22 - mmengine - INFO - Epoch(train) [14][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:54:22 time: 0.7929 data_time: 0.0355 memory: 9822 loss: 0.6726 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0333 loss_cls: 0.1770 acc: 83.2031 loss_bbox: 0.2346 loss_mask: 0.2031 +2024/01/16 14:12:01 - mmengine - INFO - Epoch(train) [14][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:53:42 time: 0.7892 data_time: 0.0384 memory: 10572 loss: 0.6155 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0313 loss_cls: 0.1602 acc: 86.7188 loss_bbox: 0.2169 loss_mask: 0.1876 +2024/01/16 14:12:40 - mmengine - INFO - Epoch(train) [14][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:53:02 time: 0.7770 data_time: 0.0305 memory: 9508 loss: 0.6124 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0253 loss_cls: 0.1649 acc: 94.7266 loss_bbox: 0.1964 loss_mask: 0.2037 +2024/01/16 14:13:20 - mmengine - INFO - Epoch(train) [14][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:52:22 time: 0.7896 data_time: 0.0337 memory: 10783 loss: 0.6562 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0251 loss_cls: 0.1694 acc: 93.5547 loss_bbox: 0.2115 loss_mask: 0.2290 +2024/01/16 14:13:59 - mmengine - INFO - Epoch(train) [14][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:51:42 time: 0.7906 data_time: 0.0358 memory: 10572 loss: 0.6268 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0313 loss_cls: 0.1629 acc: 98.8281 loss_bbox: 0.1994 loss_mask: 0.2091 +2024/01/16 14:14:07 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 14:14:39 - mmengine - INFO - Epoch(train) [14][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:51:03 time: 0.7964 data_time: 0.0384 memory: 10559 loss: 0.7591 loss_rpn_cls: 0.0368 loss_rpn_bbox: 0.0488 loss_cls: 0.1983 acc: 95.7031 loss_bbox: 0.2486 loss_mask: 0.2266 +2024/01/16 14:15:19 - mmengine - INFO - Epoch(train) [14][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:50:23 time: 0.7963 data_time: 0.0242 memory: 9659 loss: 0.5427 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0224 loss_cls: 0.1281 acc: 94.5312 loss_bbox: 0.1703 loss_mask: 0.2068 +2024/01/16 14:15:58 - mmengine - INFO - Epoch(train) [14][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:49:43 time: 0.7843 data_time: 0.0321 memory: 10469 loss: 0.6086 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0270 loss_cls: 0.1613 acc: 95.8984 loss_bbox: 0.2120 loss_mask: 0.1945 +2024/01/16 14:16:38 - mmengine - INFO - Epoch(train) [14][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:49:03 time: 0.7923 data_time: 0.0351 memory: 10258 loss: 0.6874 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0398 loss_cls: 0.1815 acc: 94.7266 loss_bbox: 0.2205 loss_mask: 0.2263 +2024/01/16 14:17:17 - mmengine - INFO - Epoch(train) [14][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:48:23 time: 0.7895 data_time: 0.0334 memory: 9930 loss: 0.5737 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0241 loss_cls: 0.1489 acc: 91.4062 loss_bbox: 0.1896 loss_mask: 0.1997 +2024/01/16 14:17:57 - mmengine - INFO - Epoch(train) [14][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:47:44 time: 0.7935 data_time: 0.0340 memory: 9587 loss: 0.5933 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0269 loss_cls: 0.1456 acc: 87.3047 loss_bbox: 0.1958 loss_mask: 0.2060 +2024/01/16 14:18:36 - mmengine - INFO - Epoch(train) [14][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:47:03 time: 0.7810 data_time: 0.0345 memory: 9850 loss: 0.6291 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0378 loss_cls: 0.1693 acc: 92.1875 loss_bbox: 0.2150 loss_mask: 0.1882 +2024/01/16 14:19:16 - mmengine - INFO - Epoch(train) [14][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:46:24 time: 0.7982 data_time: 0.0333 memory: 10572 loss: 0.6884 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0341 loss_cls: 0.1818 acc: 95.7031 loss_bbox: 0.2402 loss_mask: 0.2068 +2024/01/16 14:19:55 - mmengine - INFO - Epoch(train) [14][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:45:44 time: 0.7849 data_time: 0.0286 memory: 9949 loss: 0.5490 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0248 loss_cls: 0.1371 acc: 92.5781 loss_bbox: 0.1885 loss_mask: 0.1837 +2024/01/16 14:20:36 - mmengine - INFO - Epoch(train) [14][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:45:06 time: 0.8145 data_time: 0.0362 memory: 10475 loss: 0.7580 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0484 loss_cls: 0.2192 acc: 90.6250 loss_bbox: 0.2485 loss_mask: 0.2146 +2024/01/16 14:21:15 - mmengine - INFO - Epoch(train) [14][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:44:26 time: 0.7920 data_time: 0.0355 memory: 10525 loss: 0.6593 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0323 loss_cls: 0.1804 acc: 94.3359 loss_bbox: 0.2116 loss_mask: 0.2089 +2024/01/16 14:21:56 - mmengine - INFO - Epoch(train) [14][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:43:48 time: 0.8068 data_time: 0.0350 memory: 10291 loss: 0.5726 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0300 loss_cls: 0.1506 acc: 91.4062 loss_bbox: 0.1945 loss_mask: 0.1763 +2024/01/16 14:22:36 - mmengine - INFO - Epoch(train) [14][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:43:09 time: 0.8054 data_time: 0.0394 memory: 10568 loss: 0.7863 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0474 loss_cls: 0.2183 acc: 88.6719 loss_bbox: 0.2659 loss_mask: 0.2272 +2024/01/16 14:23:15 - mmengine - INFO - Epoch(train) [14][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:42:29 time: 0.7869 data_time: 0.0294 memory: 9601 loss: 0.6439 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0314 loss_cls: 0.1762 acc: 94.7266 loss_bbox: 0.2088 loss_mask: 0.2034 +2024/01/16 14:23:56 - mmengine - INFO - Epoch(train) [14][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:41:50 time: 0.8023 data_time: 0.0387 memory: 10314 loss: 0.6803 loss_rpn_cls: 0.0323 loss_rpn_bbox: 0.0390 loss_cls: 0.1752 acc: 98.4375 loss_bbox: 0.2249 loss_mask: 0.2089 +2024/01/16 14:24:35 - mmengine - INFO - Epoch(train) [14][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:41:10 time: 0.7882 data_time: 0.0342 memory: 10081 loss: 0.5818 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0315 loss_cls: 0.1539 acc: 94.5312 loss_bbox: 0.1887 loss_mask: 0.1898 +2024/01/16 14:25:15 - mmengine - INFO - Epoch(train) [14][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:40:31 time: 0.7944 data_time: 0.0358 memory: 10572 loss: 0.6240 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0267 loss_cls: 0.1572 acc: 93.3594 loss_bbox: 0.2003 loss_mask: 0.2098 +2024/01/16 14:25:55 - mmengine - INFO - Epoch(train) [14][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:39:52 time: 0.7995 data_time: 0.0366 memory: 10572 loss: 0.7083 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0324 loss_cls: 0.2114 acc: 96.8750 loss_bbox: 0.2477 loss_mask: 0.2004 +2024/01/16 14:26:34 - mmengine - INFO - Epoch(train) [14][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:39:12 time: 0.7892 data_time: 0.0369 memory: 10583 loss: 0.5684 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0234 loss_cls: 0.1384 acc: 92.1875 loss_bbox: 0.1827 loss_mask: 0.2088 +2024/01/16 14:27:14 - mmengine - INFO - Epoch(train) [14][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:38:32 time: 0.7914 data_time: 0.0442 memory: 10572 loss: 0.7425 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0474 loss_cls: 0.2147 acc: 97.8516 loss_bbox: 0.2501 loss_mask: 0.2027 +2024/01/16 14:27:22 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 14:27:53 - mmengine - INFO - Epoch(train) [14][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:37:52 time: 0.7925 data_time: 0.0328 memory: 9452 loss: 0.5882 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0288 loss_cls: 0.1433 acc: 93.1641 loss_bbox: 0.1931 loss_mask: 0.2014 +2024/01/16 14:28:32 - mmengine - INFO - Epoch(train) [14][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:37:12 time: 0.7776 data_time: 0.0317 memory: 11099 loss: 0.5476 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0260 loss_cls: 0.1331 acc: 94.5312 loss_bbox: 0.1837 loss_mask: 0.1919 +2024/01/16 14:29:12 - mmengine - INFO - Epoch(train) [14][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:36:32 time: 0.7876 data_time: 0.0339 memory: 10443 loss: 0.6325 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0309 loss_cls: 0.1669 acc: 93.7500 loss_bbox: 0.2290 loss_mask: 0.1885 +2024/01/16 14:29:52 - mmengine - INFO - Epoch(train) [14][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:35:53 time: 0.8072 data_time: 0.0328 memory: 10067 loss: 0.6441 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0318 loss_cls: 0.1742 acc: 99.8047 loss_bbox: 0.2127 loss_mask: 0.2030 +2024/01/16 14:30:32 - mmengine - INFO - Epoch(train) [14][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:35:13 time: 0.7890 data_time: 0.0295 memory: 10278 loss: 0.6477 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0364 loss_cls: 0.1627 acc: 88.0859 loss_bbox: 0.2259 loss_mask: 0.2019 +2024/01/16 14:31:12 - mmengine - INFO - Epoch(train) [14][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:34:35 time: 0.8098 data_time: 0.0360 memory: 10533 loss: 0.6379 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0336 loss_cls: 0.1792 acc: 99.0234 loss_bbox: 0.2196 loss_mask: 0.1856 +2024/01/16 14:31:52 - mmengine - INFO - Epoch(train) [14][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:33:55 time: 0.7934 data_time: 0.0312 memory: 11099 loss: 0.5534 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0273 loss_cls: 0.1413 acc: 89.2578 loss_bbox: 0.1817 loss_mask: 0.1880 +2024/01/16 14:32:31 - mmengine - INFO - Epoch(train) [14][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:33:16 time: 0.7912 data_time: 0.0351 memory: 9736 loss: 0.6553 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0353 loss_cls: 0.1701 acc: 98.8281 loss_bbox: 0.2172 loss_mask: 0.2139 +2024/01/16 14:33:10 - mmengine - INFO - Epoch(train) [14][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:32:34 time: 0.7723 data_time: 0.0309 memory: 10572 loss: 0.5581 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0253 loss_cls: 0.1500 acc: 94.3359 loss_bbox: 0.1789 loss_mask: 0.1869 +2024/01/16 14:33:49 - mmengine - INFO - Epoch(train) [14][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:31:54 time: 0.7830 data_time: 0.0366 memory: 11102 loss: 0.6758 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0361 loss_cls: 0.1880 acc: 99.4141 loss_bbox: 0.2296 loss_mask: 0.1991 +2024/01/16 14:34:29 - mmengine - INFO - Epoch(train) [14][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:31:15 time: 0.7936 data_time: 0.0316 memory: 10152 loss: 0.6136 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0308 loss_cls: 0.1634 acc: 97.8516 loss_bbox: 0.1991 loss_mask: 0.1967 +2024/01/16 14:35:09 - mmengine - INFO - Epoch(train) [14][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:30:36 time: 0.8004 data_time: 0.0297 memory: 10067 loss: 0.5834 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0309 loss_cls: 0.1451 acc: 99.2188 loss_bbox: 0.1895 loss_mask: 0.1998 +2024/01/16 14:35:33 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 14:35:33 - mmengine - INFO - Saving checkpoint at 14 epochs +2024/01/16 14:35:48 - mmengine - INFO - Epoch(val) [14][ 50/313] eta: 0:00:56 time: 0.2156 data_time: 0.0533 memory: 9839 +2024/01/16 14:35:57 - mmengine - INFO - Epoch(val) [14][100/313] eta: 0:00:43 time: 0.1911 data_time: 0.0298 memory: 2388 +2024/01/16 14:36:07 - mmengine - INFO - Epoch(val) [14][150/313] eta: 0:00:32 time: 0.1992 data_time: 0.0408 memory: 2431 +2024/01/16 14:36:17 - mmengine - INFO - Epoch(val) [14][200/313] eta: 0:00:22 time: 0.1951 data_time: 0.0325 memory: 2403 +2024/01/16 14:36:26 - mmengine - INFO - Epoch(val) [14][250/313] eta: 0:00:12 time: 0.1813 data_time: 0.0251 memory: 2431 +2024/01/16 14:36:37 - mmengine - INFO - Epoch(val) [14][300/313] eta: 0:00:02 time: 0.2087 data_time: 0.0479 memory: 2403 +2024/01/16 14:36:45 - mmengine - INFO - Evaluating bbox... +2024/01/16 14:37:10 - mmengine - INFO - bbox_mAP_copypaste: 0.469 0.689 0.519 0.307 0.511 0.608 +2024/01/16 14:37:10 - mmengine - INFO - Evaluating segm... +2024/01/16 14:37:37 - mmengine - INFO - segm_mAP_copypaste: 0.421 0.657 0.454 0.225 0.457 0.601 +2024/01/16 14:37:38 - mmengine - INFO - Epoch(val) [14][313/313] coco/bbox_mAP: 0.4690 coco/bbox_mAP_50: 0.6890 coco/bbox_mAP_75: 0.5190 coco/bbox_mAP_s: 0.3070 coco/bbox_mAP_m: 0.5110 coco/bbox_mAP_l: 0.6080 coco/segm_mAP: 0.4210 coco/segm_mAP_50: 0.6570 coco/segm_mAP_75: 0.4540 coco/segm_mAP_s: 0.2250 coco/segm_mAP_m: 0.4570 coco/segm_mAP_l: 0.6010 data_time: 0.0367 time: 0.1967 +2024/01/16 14:38:18 - mmengine - INFO - Epoch(train) [15][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:29:34 time: 0.8102 data_time: 0.0454 memory: 9984 loss: 0.7188 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0346 loss_cls: 0.2018 acc: 91.6016 loss_bbox: 0.2453 loss_mask: 0.2074 +2024/01/16 14:38:59 - mmengine - INFO - Epoch(train) [15][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:28:56 time: 0.8052 data_time: 0.0360 memory: 11023 loss: 0.5016 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0256 loss_cls: 0.1228 acc: 98.6328 loss_bbox: 0.1590 loss_mask: 0.1745 +2024/01/16 14:39:38 - mmengine - INFO - Epoch(train) [15][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:28:15 time: 0.7806 data_time: 0.0381 memory: 9800 loss: 0.7182 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0311 loss_cls: 0.1884 acc: 99.2188 loss_bbox: 0.2541 loss_mask: 0.2181 +2024/01/16 14:40:18 - mmengine - INFO - Epoch(train) [15][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:27:36 time: 0.7985 data_time: 0.0353 memory: 9365 loss: 0.6822 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0360 loss_cls: 0.1824 acc: 94.7266 loss_bbox: 0.2218 loss_mask: 0.2171 +2024/01/16 14:40:57 - mmengine - INFO - Epoch(train) [15][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:26:56 time: 0.7932 data_time: 0.0370 memory: 9737 loss: 0.7048 loss_rpn_cls: 0.0321 loss_rpn_bbox: 0.0447 loss_cls: 0.1817 acc: 85.9375 loss_bbox: 0.2359 loss_mask: 0.2105 +2024/01/16 14:41:36 - mmengine - INFO - Epoch(train) [15][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:26:16 time: 0.7847 data_time: 0.0315 memory: 9374 loss: 0.6030 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0266 loss_cls: 0.1594 acc: 95.7031 loss_bbox: 0.2018 loss_mask: 0.1959 +2024/01/16 14:42:17 - mmengine - INFO - Epoch(train) [15][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:25:37 time: 0.8030 data_time: 0.0344 memory: 9533 loss: 0.5276 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0259 loss_cls: 0.1284 acc: 93.3594 loss_bbox: 0.1758 loss_mask: 0.1821 +2024/01/16 14:42:41 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 14:42:57 - mmengine - INFO - Epoch(train) [15][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:24:58 time: 0.8035 data_time: 0.0343 memory: 9601 loss: 0.6589 loss_rpn_cls: 0.0329 loss_rpn_bbox: 0.0359 loss_cls: 0.1772 acc: 99.4141 loss_bbox: 0.2095 loss_mask: 0.2034 +2024/01/16 14:43:36 - mmengine - INFO - Epoch(train) [15][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:24:19 time: 0.7926 data_time: 0.0397 memory: 11101 loss: 0.6657 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0400 loss_cls: 0.1702 acc: 98.4375 loss_bbox: 0.2196 loss_mask: 0.2145 +2024/01/16 14:44:17 - mmengine - INFO - Epoch(train) [15][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:23:40 time: 0.8085 data_time: 0.0298 memory: 10368 loss: 0.5351 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0193 loss_cls: 0.1247 acc: 98.4375 loss_bbox: 0.1841 loss_mask: 0.1870 +2024/01/16 14:44:57 - mmengine - INFO - Epoch(train) [15][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:23:01 time: 0.7984 data_time: 0.0325 memory: 10067 loss: 0.6117 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0337 loss_cls: 0.1488 acc: 98.2422 loss_bbox: 0.2061 loss_mask: 0.2005 +2024/01/16 14:45:36 - mmengine - INFO - Epoch(train) [15][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:22:21 time: 0.7799 data_time: 0.0311 memory: 10106 loss: 0.6333 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0294 loss_cls: 0.1766 acc: 99.8047 loss_bbox: 0.2123 loss_mask: 0.1959 +2024/01/16 14:46:15 - mmengine - INFO - Epoch(train) [15][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:21:41 time: 0.7900 data_time: 0.0362 memory: 10067 loss: 0.6405 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0322 loss_cls: 0.1750 acc: 85.1562 loss_bbox: 0.2127 loss_mask: 0.1991 +2024/01/16 14:46:55 - mmengine - INFO - Epoch(train) [15][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:21:00 time: 0.7841 data_time: 0.0290 memory: 9800 loss: 0.4668 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0227 loss_cls: 0.1054 acc: 98.6328 loss_bbox: 0.1504 loss_mask: 0.1730 +2024/01/16 14:47:34 - mmengine - INFO - Epoch(train) [15][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:20:20 time: 0.7849 data_time: 0.0315 memory: 9563 loss: 0.6139 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0314 loss_cls: 0.1661 acc: 90.8203 loss_bbox: 0.2006 loss_mask: 0.1961 +2024/01/16 14:48:14 - mmengine - INFO - Epoch(train) [15][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:19:41 time: 0.7956 data_time: 0.0343 memory: 9949 loss: 0.6351 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0321 loss_cls: 0.1594 acc: 99.8047 loss_bbox: 0.2147 loss_mask: 0.2134 +2024/01/16 14:48:53 - mmengine - INFO - Epoch(train) [15][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:19:01 time: 0.7888 data_time: 0.0300 memory: 10067 loss: 0.5851 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0300 loss_cls: 0.1435 acc: 91.4062 loss_bbox: 0.1977 loss_mask: 0.1951 +2024/01/16 14:49:32 - mmengine - INFO - Epoch(train) [15][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:18:21 time: 0.7842 data_time: 0.0322 memory: 9847 loss: 0.5835 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0331 loss_cls: 0.1402 acc: 88.2812 loss_bbox: 0.1845 loss_mask: 0.2087 +2024/01/16 14:50:12 - mmengine - INFO - Epoch(train) [15][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:17:41 time: 0.7889 data_time: 0.0317 memory: 10179 loss: 0.6225 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0315 loss_cls: 0.1628 acc: 97.0703 loss_bbox: 0.1948 loss_mask: 0.2131 +2024/01/16 14:50:52 - mmengine - INFO - Epoch(train) [15][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:17:01 time: 0.7947 data_time: 0.0332 memory: 10572 loss: 0.6161 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0335 loss_cls: 0.1631 acc: 94.9219 loss_bbox: 0.1990 loss_mask: 0.1974 +2024/01/16 14:51:31 - mmengine - INFO - Epoch(train) [15][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:16:22 time: 0.7961 data_time: 0.0359 memory: 9949 loss: 0.6120 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0342 loss_cls: 0.1605 acc: 86.7188 loss_bbox: 0.2009 loss_mask: 0.1895 +2024/01/16 14:52:11 - mmengine - INFO - Epoch(train) [15][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:15:42 time: 0.7914 data_time: 0.0312 memory: 10177 loss: 0.6654 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0372 loss_cls: 0.1821 acc: 93.1641 loss_bbox: 0.2303 loss_mask: 0.1879 +2024/01/16 14:52:51 - mmengine - INFO - Epoch(train) [15][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:15:03 time: 0.8037 data_time: 0.0358 memory: 9711 loss: 0.6402 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0339 loss_cls: 0.1677 acc: 87.3047 loss_bbox: 0.2122 loss_mask: 0.1991 +2024/01/16 14:53:31 - mmengine - INFO - Epoch(train) [15][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:14:23 time: 0.7864 data_time: 0.0353 memory: 9120 loss: 0.5641 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0293 loss_cls: 0.1456 acc: 90.4297 loss_bbox: 0.1750 loss_mask: 0.1923 +2024/01/16 14:54:11 - mmengine - INFO - Epoch(train) [15][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:13:44 time: 0.7999 data_time: 0.0313 memory: 10067 loss: 0.5414 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0254 loss_cls: 0.1314 acc: 87.6953 loss_bbox: 0.1830 loss_mask: 0.1863 +2024/01/16 14:54:50 - mmengine - INFO - Epoch(train) [15][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:13:05 time: 0.7983 data_time: 0.0306 memory: 10418 loss: 0.6389 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0337 loss_cls: 0.1701 acc: 99.2188 loss_bbox: 0.2129 loss_mask: 0.1992 +2024/01/16 14:55:30 - mmengine - INFO - Epoch(train) [15][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:12:25 time: 0.7882 data_time: 0.0312 memory: 10067 loss: 0.5589 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0278 loss_cls: 0.1503 acc: 98.0469 loss_bbox: 0.1848 loss_mask: 0.1784 +2024/01/16 14:55:54 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 14:56:10 - mmengine - INFO - Epoch(train) [15][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:11:46 time: 0.7990 data_time: 0.0339 memory: 9737 loss: 0.5976 loss_rpn_cls: 0.0271 loss_rpn_bbox: 0.0278 loss_cls: 0.1709 acc: 82.2266 loss_bbox: 0.1892 loss_mask: 0.1826 +2024/01/16 14:56:49 - mmengine - INFO - Epoch(train) [15][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:11:05 time: 0.7772 data_time: 0.0312 memory: 9601 loss: 0.6080 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0366 loss_cls: 0.1467 acc: 97.8516 loss_bbox: 0.2000 loss_mask: 0.2040 +2024/01/16 14:57:28 - mmengine - INFO - Epoch(train) [15][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:10:25 time: 0.7896 data_time: 0.0397 memory: 10067 loss: 0.7171 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0454 loss_cls: 0.1900 acc: 96.6797 loss_bbox: 0.2481 loss_mask: 0.2053 +2024/01/16 14:58:08 - mmengine - INFO - Epoch(train) [15][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:09:46 time: 0.7926 data_time: 0.0312 memory: 9599 loss: 0.5719 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0253 loss_cls: 0.1531 acc: 94.7266 loss_bbox: 0.1927 loss_mask: 0.1788 +2024/01/16 14:58:48 - mmengine - INFO - Epoch(train) [15][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:09:07 time: 0.8000 data_time: 0.0362 memory: 10715 loss: 0.6523 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0342 loss_cls: 0.1681 acc: 98.0469 loss_bbox: 0.2186 loss_mask: 0.2127 +2024/01/16 14:59:28 - mmengine - INFO - Epoch(train) [15][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:08:27 time: 0.7967 data_time: 0.0299 memory: 10914 loss: 0.5398 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0238 loss_cls: 0.1295 acc: 99.2188 loss_bbox: 0.1801 loss_mask: 0.1895 +2024/01/16 15:00:08 - mmengine - INFO - Epoch(train) [15][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:07:48 time: 0.8006 data_time: 0.0388 memory: 9295 loss: 0.6083 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0369 loss_cls: 0.1651 acc: 94.5312 loss_bbox: 0.2032 loss_mask: 0.1831 +2024/01/16 15:00:47 - mmengine - INFO - Epoch(train) [15][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:07:07 time: 0.7781 data_time: 0.0349 memory: 10299 loss: 0.7485 loss_rpn_cls: 0.0310 loss_rpn_bbox: 0.0408 loss_cls: 0.2125 acc: 98.4375 loss_bbox: 0.2616 loss_mask: 0.2028 +2024/01/16 15:01:27 - mmengine - INFO - Epoch(train) [15][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:06:29 time: 0.8109 data_time: 0.0363 memory: 10359 loss: 0.7204 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0346 loss_cls: 0.1888 acc: 99.8047 loss_bbox: 0.2495 loss_mask: 0.2261 +2024/01/16 15:02:07 - mmengine - INFO - Epoch(train) [15][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:05:50 time: 0.7949 data_time: 0.0315 memory: 9946 loss: 0.6298 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0293 loss_cls: 0.1652 acc: 96.6797 loss_bbox: 0.2161 loss_mask: 0.2049 +2024/01/16 15:02:47 - mmengine - INFO - Epoch(train) [15][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:05:10 time: 0.7927 data_time: 0.0298 memory: 9601 loss: 0.7146 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0337 loss_cls: 0.1964 acc: 93.3594 loss_bbox: 0.2339 loss_mask: 0.2284 +2024/01/16 15:03:26 - mmengine - INFO - Epoch(train) [15][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:04:30 time: 0.7893 data_time: 0.0340 memory: 9737 loss: 0.6487 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0361 loss_cls: 0.1788 acc: 82.4219 loss_bbox: 0.2173 loss_mask: 0.1883 +2024/01/16 15:04:05 - mmengine - INFO - Epoch(train) [15][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:03:50 time: 0.7845 data_time: 0.0352 memory: 10568 loss: 0.6033 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0320 loss_cls: 0.1447 acc: 98.6328 loss_bbox: 0.2004 loss_mask: 0.1994 +2024/01/16 15:04:45 - mmengine - INFO - Epoch(train) [15][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:03:10 time: 0.7869 data_time: 0.0329 memory: 11099 loss: 0.6645 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0297 loss_cls: 0.1740 acc: 99.6094 loss_bbox: 0.2211 loss_mask: 0.2100 +2024/01/16 15:05:25 - mmengine - INFO - Epoch(train) [15][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:02:31 time: 0.8028 data_time: 0.0322 memory: 10297 loss: 0.6115 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0302 loss_cls: 0.1712 acc: 89.6484 loss_bbox: 0.2068 loss_mask: 0.1857 +2024/01/16 15:06:04 - mmengine - INFO - Epoch(train) [15][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:01:51 time: 0.7823 data_time: 0.0305 memory: 9459 loss: 0.6299 loss_rpn_cls: 0.0250 loss_rpn_bbox: 0.0331 loss_cls: 0.1631 acc: 91.7969 loss_bbox: 0.2114 loss_mask: 0.1973 +2024/01/16 15:06:44 - mmengine - INFO - Epoch(train) [15][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:01:11 time: 0.7986 data_time: 0.0298 memory: 10545 loss: 0.5590 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0261 loss_cls: 0.1415 acc: 79.6875 loss_bbox: 0.1923 loss_mask: 0.1838 +2024/01/16 15:07:25 - mmengine - INFO - Epoch(train) [15][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 11:00:33 time: 0.8105 data_time: 0.0370 memory: 10572 loss: 0.7135 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0440 loss_cls: 0.1915 acc: 93.9453 loss_bbox: 0.2356 loss_mask: 0.2159 +2024/01/16 15:08:04 - mmengine - INFO - Epoch(train) [15][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:59:54 time: 0.7944 data_time: 0.0329 memory: 9828 loss: 0.5735 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0248 loss_cls: 0.1532 acc: 94.7266 loss_bbox: 0.1884 loss_mask: 0.1851 +2024/01/16 15:08:44 - mmengine - INFO - Epoch(train) [15][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:59:14 time: 0.7913 data_time: 0.0398 memory: 10067 loss: 0.6971 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0395 loss_cls: 0.1916 acc: 99.8047 loss_bbox: 0.2348 loss_mask: 0.2018 +2024/01/16 15:09:08 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 15:09:24 - mmengine - INFO - Epoch(train) [15][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:58:35 time: 0.8018 data_time: 0.0364 memory: 10394 loss: 0.7209 loss_rpn_cls: 0.0374 loss_rpn_bbox: 0.0355 loss_cls: 0.1978 acc: 88.2812 loss_bbox: 0.2447 loss_mask: 0.2055 +2024/01/16 15:10:03 - mmengine - INFO - Epoch(train) [15][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:57:55 time: 0.7860 data_time: 0.0315 memory: 10568 loss: 0.5934 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0308 loss_cls: 0.1566 acc: 92.9688 loss_bbox: 0.1952 loss_mask: 0.1913 +2024/01/16 15:10:43 - mmengine - INFO - Epoch(train) [15][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:57:15 time: 0.7855 data_time: 0.0346 memory: 10662 loss: 0.6472 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0270 loss_cls: 0.1830 acc: 87.3047 loss_bbox: 0.2081 loss_mask: 0.2077 +2024/01/16 15:11:23 - mmengine - INFO - Epoch(train) [15][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:56:36 time: 0.7991 data_time: 0.0365 memory: 9850 loss: 0.6917 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0326 loss_cls: 0.1849 acc: 84.1797 loss_bbox: 0.2539 loss_mask: 0.2021 +2024/01/16 15:12:03 - mmengine - INFO - Epoch(train) [15][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:55:57 time: 0.8000 data_time: 0.0337 memory: 10660 loss: 0.6224 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0300 loss_cls: 0.1637 acc: 97.2656 loss_bbox: 0.2074 loss_mask: 0.2050 +2024/01/16 15:12:43 - mmengine - INFO - Epoch(train) [15][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:55:18 time: 0.8054 data_time: 0.0301 memory: 10067 loss: 0.5212 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0208 loss_cls: 0.1413 acc: 83.9844 loss_bbox: 0.1713 loss_mask: 0.1690 +2024/01/16 15:13:23 - mmengine - INFO - Epoch(train) [15][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:54:38 time: 0.7934 data_time: 0.0309 memory: 9601 loss: 0.6403 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0315 loss_cls: 0.1586 acc: 87.1094 loss_bbox: 0.2176 loss_mask: 0.2086 +2024/01/16 15:14:02 - mmengine - INFO - Epoch(train) [15][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:53:59 time: 0.7903 data_time: 0.0335 memory: 10572 loss: 0.5293 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0246 loss_cls: 0.1278 acc: 95.8984 loss_bbox: 0.1711 loss_mask: 0.1893 +2024/01/16 15:14:42 - mmengine - INFO - Epoch(train) [15][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:53:19 time: 0.7984 data_time: 0.0298 memory: 10572 loss: 0.6072 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0279 loss_cls: 0.1486 acc: 96.4844 loss_bbox: 0.2071 loss_mask: 0.2082 +2024/01/16 15:15:23 - mmengine - INFO - Epoch(train) [15][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:52:41 time: 0.8137 data_time: 0.0344 memory: 10571 loss: 0.5906 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0272 loss_cls: 0.1418 acc: 89.4531 loss_bbox: 0.1979 loss_mask: 0.2040 +2024/01/16 15:16:03 - mmengine - INFO - Epoch(train) [15][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:52:02 time: 0.7959 data_time: 0.0337 memory: 10106 loss: 0.6725 loss_rpn_cls: 0.0305 loss_rpn_bbox: 0.0353 loss_cls: 0.1767 acc: 99.0234 loss_bbox: 0.2335 loss_mask: 0.1965 +2024/01/16 15:16:43 - mmengine - INFO - Epoch(train) [15][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:51:23 time: 0.8039 data_time: 0.0301 memory: 9854 loss: 0.6527 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0284 loss_cls: 0.1747 acc: 99.0234 loss_bbox: 0.2231 loss_mask: 0.1992 +2024/01/16 15:17:22 - mmengine - INFO - Epoch(train) [15][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:50:42 time: 0.7781 data_time: 0.0339 memory: 9601 loss: 0.6367 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0330 loss_cls: 0.1641 acc: 86.5234 loss_bbox: 0.2049 loss_mask: 0.2130 +2024/01/16 15:18:01 - mmengine - INFO - Epoch(train) [15][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:50:02 time: 0.7857 data_time: 0.0291 memory: 10067 loss: 0.5767 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0251 loss_cls: 0.1477 acc: 90.4297 loss_bbox: 0.1873 loss_mask: 0.1959 +2024/01/16 15:18:41 - mmengine - INFO - Epoch(train) [15][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:49:24 time: 0.8061 data_time: 0.0359 memory: 9253 loss: 0.5813 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0304 loss_cls: 0.1493 acc: 84.3750 loss_bbox: 0.1900 loss_mask: 0.1929 +2024/01/16 15:19:21 - mmengine - INFO - Epoch(train) [15][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:48:45 time: 0.8011 data_time: 0.0375 memory: 9126 loss: 0.6244 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0316 loss_cls: 0.1781 acc: 90.6250 loss_bbox: 0.1995 loss_mask: 0.1916 +2024/01/16 15:20:01 - mmengine - INFO - Epoch(train) [15][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:48:06 time: 0.8001 data_time: 0.0321 memory: 10067 loss: 0.5755 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0288 loss_cls: 0.1477 acc: 98.8281 loss_bbox: 0.1734 loss_mask: 0.2115 +2024/01/16 15:20:41 - mmengine - INFO - Epoch(train) [15][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:47:26 time: 0.7954 data_time: 0.0304 memory: 9949 loss: 0.6031 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0358 loss_cls: 0.1576 acc: 96.6797 loss_bbox: 0.1908 loss_mask: 0.1937 +2024/01/16 15:21:21 - mmengine - INFO - Epoch(train) [15][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:46:47 time: 0.7955 data_time: 0.0344 memory: 9402 loss: 0.6239 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0269 loss_cls: 0.1698 acc: 98.6328 loss_bbox: 0.2127 loss_mask: 0.1994 +2024/01/16 15:22:01 - mmengine - INFO - Epoch(train) [15][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:46:08 time: 0.8069 data_time: 0.0428 memory: 10067 loss: 0.7231 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0412 loss_cls: 0.2015 acc: 97.4609 loss_bbox: 0.2451 loss_mask: 0.2074 +2024/01/16 15:22:25 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 15:22:41 - mmengine - INFO - Epoch(train) [15][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:45:28 time: 0.7859 data_time: 0.0350 memory: 9526 loss: 0.6571 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0372 loss_cls: 0.1707 acc: 99.4141 loss_bbox: 0.2174 loss_mask: 0.2061 +2024/01/16 15:23:20 - mmengine - INFO - Epoch(train) [15][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:44:48 time: 0.7846 data_time: 0.0336 memory: 10555 loss: 0.6307 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0310 loss_cls: 0.1632 acc: 97.2656 loss_bbox: 0.2189 loss_mask: 0.1992 +2024/01/16 15:24:00 - mmengine - INFO - Epoch(train) [15][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:44:09 time: 0.8005 data_time: 0.0337 memory: 10067 loss: 0.5554 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0241 loss_cls: 0.1463 acc: 98.6328 loss_bbox: 0.1802 loss_mask: 0.1885 +2024/01/16 15:24:40 - mmengine - INFO - Epoch(train) [15][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:43:29 time: 0.7939 data_time: 0.0306 memory: 10299 loss: 0.5772 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0278 loss_cls: 0.1414 acc: 99.8047 loss_bbox: 0.1879 loss_mask: 0.1887 +2024/01/16 15:25:19 - mmengine - INFO - Epoch(train) [15][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:42:49 time: 0.7881 data_time: 0.0332 memory: 10572 loss: 0.6537 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0334 loss_cls: 0.1659 acc: 85.5469 loss_bbox: 0.2295 loss_mask: 0.2054 +2024/01/16 15:25:59 - mmengine - INFO - Epoch(train) [15][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:42:10 time: 0.7979 data_time: 0.0282 memory: 9681 loss: 0.5762 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0251 loss_cls: 0.1460 acc: 99.2188 loss_bbox: 0.1964 loss_mask: 0.1871 +2024/01/16 15:26:39 - mmengine - INFO - Epoch(train) [15][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:41:31 time: 0.7981 data_time: 0.0301 memory: 10572 loss: 0.5864 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0320 loss_cls: 0.1661 acc: 97.4609 loss_bbox: 0.1795 loss_mask: 0.1792 +2024/01/16 15:27:19 - mmengine - INFO - Epoch(train) [15][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:40:51 time: 0.7934 data_time: 0.0346 memory: 9736 loss: 0.7430 loss_rpn_cls: 0.0336 loss_rpn_bbox: 0.0454 loss_cls: 0.1838 acc: 99.2188 loss_bbox: 0.2606 loss_mask: 0.2195 +2024/01/16 15:27:58 - mmengine - INFO - Epoch(train) [15][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:40:11 time: 0.7925 data_time: 0.0282 memory: 10067 loss: 0.5737 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0289 loss_cls: 0.1546 acc: 99.4141 loss_bbox: 0.1902 loss_mask: 0.1840 +2024/01/16 15:28:38 - mmengine - INFO - Epoch(train) [15][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:39:33 time: 0.8017 data_time: 0.0316 memory: 10067 loss: 0.5660 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0284 loss_cls: 0.1424 acc: 93.7500 loss_bbox: 0.1971 loss_mask: 0.1780 +2024/01/16 15:29:18 - mmengine - INFO - Epoch(train) [15][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:38:53 time: 0.7991 data_time: 0.0378 memory: 10067 loss: 0.5907 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0289 loss_cls: 0.1479 acc: 95.1172 loss_bbox: 0.1981 loss_mask: 0.1957 +2024/01/16 15:29:58 - mmengine - INFO - Epoch(train) [15][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:38:14 time: 0.7930 data_time: 0.0338 memory: 10473 loss: 0.6078 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0323 loss_cls: 0.1625 acc: 85.3516 loss_bbox: 0.1971 loss_mask: 0.1988 +2024/01/16 15:30:37 - mmengine - INFO - Epoch(train) [15][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:37:33 time: 0.7810 data_time: 0.0309 memory: 10588 loss: 0.6264 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0371 loss_cls: 0.1616 acc: 92.5781 loss_bbox: 0.2209 loss_mask: 0.1871 +2024/01/16 15:31:17 - mmengine - INFO - Epoch(train) [15][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:36:55 time: 0.8056 data_time: 0.0342 memory: 9904 loss: 0.6669 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0291 loss_cls: 0.1795 acc: 96.4844 loss_bbox: 0.2139 loss_mask: 0.2163 +2024/01/16 15:31:57 - mmengine - INFO - Epoch(train) [15][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:36:15 time: 0.7998 data_time: 0.0338 memory: 9850 loss: 0.6666 loss_rpn_cls: 0.0364 loss_rpn_bbox: 0.0356 loss_cls: 0.1671 acc: 93.9453 loss_bbox: 0.2041 loss_mask: 0.2234 +2024/01/16 15:32:37 - mmengine - INFO - Epoch(train) [15][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:35:35 time: 0.7837 data_time: 0.0304 memory: 9605 loss: 0.6480 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0338 loss_cls: 0.1733 acc: 99.0234 loss_bbox: 0.2162 loss_mask: 0.2006 +2024/01/16 15:33:16 - mmengine - INFO - Epoch(train) [15][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:34:55 time: 0.7880 data_time: 0.0337 memory: 10572 loss: 0.6581 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0329 loss_cls: 0.1810 acc: 98.2422 loss_bbox: 0.2172 loss_mask: 0.2067 +2024/01/16 15:33:56 - mmengine - INFO - Epoch(train) [15][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:34:15 time: 0.7904 data_time: 0.0312 memory: 9734 loss: 0.6227 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0313 loss_cls: 0.1600 acc: 98.4375 loss_bbox: 0.2077 loss_mask: 0.2003 +2024/01/16 15:34:36 - mmengine - INFO - Epoch(train) [15][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:33:36 time: 0.8002 data_time: 0.0372 memory: 10067 loss: 0.6627 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0300 loss_cls: 0.1795 acc: 99.6094 loss_bbox: 0.2341 loss_mask: 0.1953 +2024/01/16 15:35:14 - mmengine - INFO - Epoch(train) [15][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:32:55 time: 0.7749 data_time: 0.0281 memory: 9253 loss: 0.5586 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0257 loss_cls: 0.1430 acc: 99.4141 loss_bbox: 0.1857 loss_mask: 0.1849 +2024/01/16 15:35:39 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 15:35:55 - mmengine - INFO - Epoch(train) [15][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:32:17 time: 0.8100 data_time: 0.0388 memory: 9736 loss: 0.5924 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0324 loss_cls: 0.1526 acc: 94.9219 loss_bbox: 0.2027 loss_mask: 0.1848 +2024/01/16 15:36:35 - mmengine - INFO - Epoch(train) [15][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:31:38 time: 0.7995 data_time: 0.0283 memory: 10013 loss: 0.6141 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0261 loss_cls: 0.1557 acc: 99.6094 loss_bbox: 0.1973 loss_mask: 0.2160 +2024/01/16 15:37:16 - mmengine - INFO - Epoch(train) [15][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:31:00 time: 0.8135 data_time: 0.0388 memory: 9090 loss: 0.6189 loss_rpn_cls: 0.0289 loss_rpn_bbox: 0.0306 loss_cls: 0.1656 acc: 83.2031 loss_bbox: 0.1989 loss_mask: 0.1950 +2024/01/16 15:37:56 - mmengine - INFO - Epoch(train) [15][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:30:21 time: 0.7979 data_time: 0.0309 memory: 9821 loss: 0.5255 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0222 loss_cls: 0.1270 acc: 92.1875 loss_bbox: 0.1688 loss_mask: 0.1876 +2024/01/16 15:38:35 - mmengine - INFO - Epoch(train) [15][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:29:41 time: 0.7964 data_time: 0.0357 memory: 9800 loss: 0.6129 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0283 loss_cls: 0.1538 acc: 99.0234 loss_bbox: 0.2086 loss_mask: 0.2111 +2024/01/16 15:39:15 - mmengine - INFO - Epoch(train) [15][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:29:02 time: 0.7927 data_time: 0.0338 memory: 10153 loss: 0.7237 loss_rpn_cls: 0.0431 loss_rpn_bbox: 0.0399 loss_cls: 0.1865 acc: 90.0391 loss_bbox: 0.2241 loss_mask: 0.2300 +2024/01/16 15:39:56 - mmengine - INFO - Epoch(train) [15][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:28:23 time: 0.8114 data_time: 0.0395 memory: 10572 loss: 0.7052 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0398 loss_cls: 0.1890 acc: 98.0469 loss_bbox: 0.2317 loss_mask: 0.2191 +2024/01/16 15:40:35 - mmengine - INFO - Epoch(train) [15][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:27:43 time: 0.7905 data_time: 0.0289 memory: 9459 loss: 0.5712 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0284 loss_cls: 0.1572 acc: 90.2344 loss_bbox: 0.1821 loss_mask: 0.1863 +2024/01/16 15:41:15 - mmengine - INFO - Epoch(train) [15][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:27:05 time: 0.8030 data_time: 0.0304 memory: 10067 loss: 0.6460 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0335 loss_cls: 0.1711 acc: 100.0000 loss_bbox: 0.2082 loss_mask: 0.2113 +2024/01/16 15:41:54 - mmengine - INFO - Epoch(train) [15][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:26:24 time: 0.7747 data_time: 0.0357 memory: 9949 loss: 0.6493 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0310 loss_cls: 0.1752 acc: 99.8047 loss_bbox: 0.2138 loss_mask: 0.2082 +2024/01/16 15:42:35 - mmengine - INFO - Epoch(train) [15][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:25:46 time: 0.8168 data_time: 0.0373 memory: 9787 loss: 0.7437 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0484 loss_cls: 0.1988 acc: 87.3047 loss_bbox: 0.2434 loss_mask: 0.2223 +2024/01/16 15:43:16 - mmengine - INFO - Epoch(train) [15][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:25:08 time: 0.8146 data_time: 0.0325 memory: 10016 loss: 0.5484 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0236 loss_cls: 0.1406 acc: 99.6094 loss_bbox: 0.1841 loss_mask: 0.1868 +2024/01/16 15:43:55 - mmengine - INFO - Epoch(train) [15][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:24:28 time: 0.7938 data_time: 0.0368 memory: 10572 loss: 0.5733 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0349 loss_cls: 0.1400 acc: 91.9922 loss_bbox: 0.1838 loss_mask: 0.1914 +2024/01/16 15:44:36 - mmengine - INFO - Epoch(train) [15][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:23:49 time: 0.8061 data_time: 0.0407 memory: 10568 loss: 0.6870 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0341 loss_cls: 0.1810 acc: 86.7188 loss_bbox: 0.2342 loss_mask: 0.2119 +2024/01/16 15:45:15 - mmengine - INFO - Epoch(train) [15][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:23:09 time: 0.7866 data_time: 0.0344 memory: 10595 loss: 0.6903 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0355 loss_cls: 0.1728 acc: 99.6094 loss_bbox: 0.2347 loss_mask: 0.2206 +2024/01/16 15:45:55 - mmengine - INFO - Epoch(train) [15][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:22:30 time: 0.7954 data_time: 0.0285 memory: 10067 loss: 0.5592 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0287 loss_cls: 0.1313 acc: 98.6328 loss_bbox: 0.1666 loss_mask: 0.2145 +2024/01/16 15:46:35 - mmengine - INFO - Epoch(train) [15][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:21:51 time: 0.7957 data_time: 0.0300 memory: 9120 loss: 0.6505 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0305 loss_cls: 0.1805 acc: 89.4531 loss_bbox: 0.2164 loss_mask: 0.1977 +2024/01/16 15:47:14 - mmengine - INFO - Epoch(train) [15][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:21:11 time: 0.7886 data_time: 0.0323 memory: 9736 loss: 0.5764 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0302 loss_cls: 0.1569 acc: 93.5547 loss_bbox: 0.1806 loss_mask: 0.1864 +2024/01/16 15:47:55 - mmengine - INFO - Epoch(train) [15][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:20:32 time: 0.8127 data_time: 0.0334 memory: 10205 loss: 0.6590 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0295 loss_cls: 0.1773 acc: 96.4844 loss_bbox: 0.2168 loss_mask: 0.2085 +2024/01/16 15:48:35 - mmengine - INFO - Epoch(train) [15][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:19:53 time: 0.8019 data_time: 0.0326 memory: 10568 loss: 0.6762 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0340 loss_cls: 0.1919 acc: 86.3281 loss_bbox: 0.2145 loss_mask: 0.2054 +2024/01/16 15:48:58 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 15:49:14 - mmengine - INFO - Epoch(train) [15][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:19:13 time: 0.7847 data_time: 0.0350 memory: 10067 loss: 0.5662 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0263 loss_cls: 0.1412 acc: 95.1172 loss_bbox: 0.1697 loss_mask: 0.2092 +2024/01/16 15:49:53 - mmengine - INFO - Epoch(train) [15][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:18:33 time: 0.7856 data_time: 0.0359 memory: 11102 loss: 0.7178 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0383 loss_cls: 0.1896 acc: 86.7188 loss_bbox: 0.2467 loss_mask: 0.2166 +2024/01/16 15:50:34 - mmengine - INFO - Epoch(train) [15][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:17:54 time: 0.8021 data_time: 0.0305 memory: 9800 loss: 0.6045 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0290 loss_cls: 0.1542 acc: 94.3359 loss_bbox: 0.1920 loss_mask: 0.2081 +2024/01/16 15:51:13 - mmengine - INFO - Epoch(train) [15][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:17:15 time: 0.7935 data_time: 0.0335 memory: 10139 loss: 0.6615 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0387 loss_cls: 0.1772 acc: 84.5703 loss_bbox: 0.2207 loss_mask: 0.1949 +2024/01/16 15:51:52 - mmengine - INFO - Epoch(train) [15][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:16:34 time: 0.7753 data_time: 0.0302 memory: 10067 loss: 0.6036 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0312 loss_cls: 0.1498 acc: 96.2891 loss_bbox: 0.2007 loss_mask: 0.2057 +2024/01/16 15:52:31 - mmengine - INFO - Epoch(train) [15][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:15:53 time: 0.7781 data_time: 0.0333 memory: 9601 loss: 0.6040 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0286 loss_cls: 0.1616 acc: 94.7266 loss_bbox: 0.1999 loss_mask: 0.1957 +2024/01/16 15:53:11 - mmengine - INFO - Epoch(train) [15][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:15:14 time: 0.8074 data_time: 0.0333 memory: 10572 loss: 0.5713 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0285 loss_cls: 0.1409 acc: 95.1172 loss_bbox: 0.1822 loss_mask: 0.1969 +2024/01/16 15:53:51 - mmengine - INFO - Epoch(train) [15][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:14:35 time: 0.8016 data_time: 0.0290 memory: 10067 loss: 0.5770 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0280 loss_cls: 0.1544 acc: 95.3125 loss_bbox: 0.1908 loss_mask: 0.1857 +2024/01/16 15:54:31 - mmengine - INFO - Epoch(train) [15][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:13:56 time: 0.7944 data_time: 0.0339 memory: 10483 loss: 0.5953 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0283 loss_cls: 0.1527 acc: 99.2188 loss_bbox: 0.2061 loss_mask: 0.1916 +2024/01/16 15:55:11 - mmengine - INFO - Epoch(train) [15][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:13:17 time: 0.8039 data_time: 0.0327 memory: 10067 loss: 0.5633 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0288 loss_cls: 0.1455 acc: 92.5781 loss_bbox: 0.1806 loss_mask: 0.1842 +2024/01/16 15:55:52 - mmengine - INFO - Epoch(train) [15][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:12:38 time: 0.8025 data_time: 0.0370 memory: 10572 loss: 0.6061 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0326 loss_cls: 0.1478 acc: 96.4844 loss_bbox: 0.1955 loss_mask: 0.2128 +2024/01/16 15:56:31 - mmengine - INFO - Epoch(train) [15][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:11:59 time: 0.7948 data_time: 0.0337 memory: 9570 loss: 0.6146 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0286 loss_cls: 0.1618 acc: 97.6562 loss_bbox: 0.2037 loss_mask: 0.1995 +2024/01/16 15:57:11 - mmengine - INFO - Epoch(train) [15][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:11:19 time: 0.7879 data_time: 0.0268 memory: 11073 loss: 0.5306 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0217 loss_cls: 0.1452 acc: 90.0391 loss_bbox: 0.1623 loss_mask: 0.1844 +2024/01/16 15:57:51 - mmengine - INFO - Epoch(train) [15][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:10:39 time: 0.7965 data_time: 0.0328 memory: 10067 loss: 0.6441 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0326 loss_cls: 0.1539 acc: 93.3594 loss_bbox: 0.2147 loss_mask: 0.2252 +2024/01/16 15:58:31 - mmengine - INFO - Epoch(train) [15][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:10:01 time: 0.8069 data_time: 0.0375 memory: 10572 loss: 0.7258 loss_rpn_cls: 0.0374 loss_rpn_bbox: 0.0418 loss_cls: 0.2028 acc: 98.0469 loss_bbox: 0.2229 loss_mask: 0.2208 +2024/01/16 15:59:11 - mmengine - INFO - Epoch(train) [15][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:09:22 time: 0.8015 data_time: 0.0365 memory: 10067 loss: 0.6827 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0307 loss_cls: 0.1844 acc: 88.2812 loss_bbox: 0.2317 loss_mask: 0.2113 +2024/01/16 15:59:51 - mmengine - INFO - Epoch(train) [15][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:08:42 time: 0.7905 data_time: 0.0343 memory: 9949 loss: 0.8421 loss_rpn_cls: 0.0414 loss_rpn_bbox: 0.0468 loss_cls: 0.2280 acc: 85.5469 loss_bbox: 0.2882 loss_mask: 0.2377 +2024/01/16 16:00:30 - mmengine - INFO - Epoch(train) [15][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:08:02 time: 0.7923 data_time: 0.0276 memory: 9637 loss: 0.5660 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0279 loss_cls: 0.1506 acc: 77.5391 loss_bbox: 0.1770 loss_mask: 0.1859 +2024/01/16 16:01:09 - mmengine - INFO - Epoch(train) [15][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:07:21 time: 0.7779 data_time: 0.0329 memory: 10287 loss: 0.6038 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0266 loss_cls: 0.1496 acc: 98.0469 loss_bbox: 0.2052 loss_mask: 0.2026 +2024/01/16 16:01:49 - mmengine - INFO - Epoch(train) [15][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:06:43 time: 0.8059 data_time: 0.0358 memory: 10499 loss: 0.6623 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0329 loss_cls: 0.1816 acc: 91.6016 loss_bbox: 0.2288 loss_mask: 0.2020 +2024/01/16 16:02:13 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 16:02:28 - mmengine - INFO - Epoch(train) [15][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:06:02 time: 0.7812 data_time: 0.0320 memory: 9459 loss: 0.6364 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0304 loss_cls: 0.1574 acc: 99.8047 loss_bbox: 0.1999 loss_mask: 0.2218 +2024/01/16 16:03:08 - mmengine - INFO - Epoch(train) [15][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:05:22 time: 0.7896 data_time: 0.0391 memory: 10572 loss: 0.6410 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0325 loss_cls: 0.1693 acc: 85.3516 loss_bbox: 0.2113 loss_mask: 0.1996 +2024/01/16 16:03:47 - mmengine - INFO - Epoch(train) [15][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:04:42 time: 0.7869 data_time: 0.0341 memory: 10217 loss: 0.6312 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0287 loss_cls: 0.1665 acc: 89.4531 loss_bbox: 0.2001 loss_mask: 0.2067 +2024/01/16 16:04:27 - mmengine - INFO - Epoch(train) [15][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:04:03 time: 0.8009 data_time: 0.0342 memory: 9601 loss: 0.6172 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0322 loss_cls: 0.1629 acc: 99.4141 loss_bbox: 0.2109 loss_mask: 0.1905 +2024/01/16 16:05:06 - mmengine - INFO - Epoch(train) [15][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:03:23 time: 0.7811 data_time: 0.0336 memory: 10565 loss: 0.6450 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0321 loss_cls: 0.1631 acc: 85.7422 loss_bbox: 0.2061 loss_mask: 0.2210 +2024/01/16 16:05:46 - mmengine - INFO - Epoch(train) [15][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:02:44 time: 0.7973 data_time: 0.0376 memory: 10712 loss: 0.6210 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0345 loss_cls: 0.1592 acc: 96.0938 loss_bbox: 0.2062 loss_mask: 0.1938 +2024/01/16 16:06:26 - mmengine - INFO - Epoch(train) [15][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:02:04 time: 0.7905 data_time: 0.0326 memory: 10319 loss: 0.6425 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0301 loss_cls: 0.1782 acc: 90.4297 loss_bbox: 0.2116 loss_mask: 0.2047 +2024/01/16 16:07:05 - mmengine - INFO - Epoch(train) [15][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:01:24 time: 0.7849 data_time: 0.0369 memory: 10786 loss: 0.6833 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0396 loss_cls: 0.1788 acc: 94.3359 loss_bbox: 0.2174 loss_mask: 0.2247 +2024/01/16 16:07:46 - mmengine - INFO - Epoch(train) [15][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:00:45 time: 0.8120 data_time: 0.0329 memory: 10530 loss: 0.6427 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0261 loss_cls: 0.1670 acc: 99.2188 loss_bbox: 0.2012 loss_mask: 0.2280 +2024/01/16 16:08:26 - mmengine - INFO - Epoch(train) [15][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 10:00:06 time: 0.7984 data_time: 0.0348 memory: 10568 loss: 0.5700 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0286 loss_cls: 0.1432 acc: 99.0234 loss_bbox: 0.1923 loss_mask: 0.1909 +2024/01/16 16:09:05 - mmengine - INFO - Epoch(train) [15][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:59:26 time: 0.7843 data_time: 0.0291 memory: 10582 loss: 0.6317 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0305 loss_cls: 0.1678 acc: 96.4844 loss_bbox: 0.2047 loss_mask: 0.2046 +2024/01/16 16:09:45 - mmengine - INFO - Epoch(train) [15][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:58:47 time: 0.8041 data_time: 0.0310 memory: 10568 loss: 0.6959 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0312 loss_cls: 0.2181 acc: 98.0469 loss_bbox: 0.2075 loss_mask: 0.2176 +2024/01/16 16:10:25 - mmengine - INFO - Epoch(train) [15][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:58:07 time: 0.7921 data_time: 0.0335 memory: 11102 loss: 0.5898 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0253 loss_cls: 0.1467 acc: 98.6328 loss_bbox: 0.1976 loss_mask: 0.2026 +2024/01/16 16:11:05 - mmengine - INFO - Epoch(train) [15][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:57:29 time: 0.8100 data_time: 0.0346 memory: 10572 loss: 0.5950 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0350 loss_cls: 0.1456 acc: 83.3984 loss_bbox: 0.1950 loss_mask: 0.1935 +2024/01/16 16:11:46 - mmengine - INFO - Epoch(train) [15][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:56:50 time: 0.8045 data_time: 0.0347 memory: 10582 loss: 0.6592 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0333 loss_cls: 0.1837 acc: 87.5000 loss_bbox: 0.2015 loss_mask: 0.2158 +2024/01/16 16:12:26 - mmengine - INFO - Epoch(train) [15][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:56:11 time: 0.8016 data_time: 0.0378 memory: 10532 loss: 0.6875 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0381 loss_cls: 0.1811 acc: 98.4375 loss_bbox: 0.2470 loss_mask: 0.2027 +2024/01/16 16:13:05 - mmengine - INFO - Epoch(train) [15][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:55:30 time: 0.7793 data_time: 0.0344 memory: 9905 loss: 0.6011 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0374 loss_cls: 0.1550 acc: 99.6094 loss_bbox: 0.1838 loss_mask: 0.1956 +2024/01/16 16:13:44 - mmengine - INFO - Epoch(train) [15][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:54:50 time: 0.7848 data_time: 0.0311 memory: 10067 loss: 0.5931 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0225 loss_cls: 0.1609 acc: 91.7969 loss_bbox: 0.2005 loss_mask: 0.1928 +2024/01/16 16:14:23 - mmengine - INFO - Epoch(train) [15][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:54:10 time: 0.7891 data_time: 0.0418 memory: 10568 loss: 0.7291 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0406 loss_cls: 0.1974 acc: 83.2031 loss_bbox: 0.2308 loss_mask: 0.2303 +2024/01/16 16:14:46 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 16:14:46 - mmengine - INFO - Saving checkpoint at 15 epochs +2024/01/16 16:15:01 - mmengine - INFO - Epoch(val) [15][ 50/313] eta: 0:00:58 time: 0.2235 data_time: 0.0622 memory: 9793 +2024/01/16 16:15:11 - mmengine - INFO - Epoch(val) [15][100/313] eta: 0:00:44 time: 0.1910 data_time: 0.0294 memory: 2388 +2024/01/16 16:15:20 - mmengine - INFO - Epoch(val) [15][150/313] eta: 0:00:32 time: 0.1822 data_time: 0.0253 memory: 2431 +2024/01/16 16:15:31 - mmengine - INFO - Epoch(val) [15][200/313] eta: 0:00:22 time: 0.2164 data_time: 0.0551 memory: 2403 +2024/01/16 16:15:40 - mmengine - INFO - Epoch(val) [15][250/313] eta: 0:00:12 time: 0.1905 data_time: 0.0347 memory: 2431 +2024/01/16 16:15:50 - mmengine - INFO - Epoch(val) [15][300/313] eta: 0:00:02 time: 0.1986 data_time: 0.0382 memory: 2403 +2024/01/16 16:15:59 - mmengine - INFO - Evaluating bbox... +2024/01/16 16:16:23 - mmengine - INFO - bbox_mAP_copypaste: 0.460 0.681 0.504 0.296 0.502 0.592 +2024/01/16 16:16:23 - mmengine - INFO - Evaluating segm... +2024/01/16 16:16:50 - mmengine - INFO - segm_mAP_copypaste: 0.414 0.652 0.445 0.224 0.451 0.599 +2024/01/16 16:16:50 - mmengine - INFO - Epoch(val) [15][313/313] coco/bbox_mAP: 0.4600 coco/bbox_mAP_50: 0.6810 coco/bbox_mAP_75: 0.5040 coco/bbox_mAP_s: 0.2960 coco/bbox_mAP_m: 0.5020 coco/bbox_mAP_l: 0.5920 coco/segm_mAP: 0.4140 coco/segm_mAP_50: 0.6520 coco/segm_mAP_75: 0.4450 coco/segm_mAP_s: 0.2240 coco/segm_mAP_m: 0.4510 coco/segm_mAP_l: 0.5990 data_time: 0.0393 time: 0.1985 +2024/01/16 16:17:31 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 16:17:31 - mmengine - INFO - Epoch(train) [16][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:53:07 time: 0.8091 data_time: 0.0449 memory: 10404 loss: 0.6743 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0363 loss_cls: 0.1778 acc: 91.2109 loss_bbox: 0.2236 loss_mask: 0.2128 +2024/01/16 16:18:11 - mmengine - INFO - Epoch(train) [16][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:52:28 time: 0.8070 data_time: 0.0321 memory: 9700 loss: 0.5760 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0245 loss_cls: 0.1554 acc: 94.7266 loss_bbox: 0.1880 loss_mask: 0.1839 +2024/01/16 16:18:51 - mmengine - INFO - Epoch(train) [16][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:51:49 time: 0.8034 data_time: 0.0356 memory: 11102 loss: 0.6323 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0340 loss_cls: 0.1631 acc: 94.3359 loss_bbox: 0.2033 loss_mask: 0.2019 +2024/01/16 16:19:31 - mmengine - INFO - Epoch(train) [16][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:51:11 time: 0.8057 data_time: 0.0310 memory: 9253 loss: 0.6624 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0329 loss_cls: 0.1708 acc: 89.0625 loss_bbox: 0.2275 loss_mask: 0.2065 +2024/01/16 16:20:12 - mmengine - INFO - Epoch(train) [16][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:50:32 time: 0.8055 data_time: 0.0349 memory: 9736 loss: 0.6158 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0338 loss_cls: 0.1508 acc: 97.0703 loss_bbox: 0.2003 loss_mask: 0.2045 +2024/01/16 16:20:52 - mmengine - INFO - Epoch(train) [16][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:49:53 time: 0.8030 data_time: 0.0321 memory: 9949 loss: 0.5731 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0280 loss_cls: 0.1411 acc: 92.9688 loss_bbox: 0.1953 loss_mask: 0.1904 +2024/01/16 16:21:31 - mmengine - INFO - Epoch(train) [16][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:49:13 time: 0.7862 data_time: 0.0319 memory: 10440 loss: 0.6097 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0306 loss_cls: 0.1564 acc: 96.6797 loss_bbox: 0.2098 loss_mask: 0.1907 +2024/01/16 16:22:11 - mmengine - INFO - Epoch(train) [16][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:48:33 time: 0.7933 data_time: 0.0314 memory: 10067 loss: 0.5726 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0315 loss_cls: 0.1370 acc: 96.4844 loss_bbox: 0.1924 loss_mask: 0.1916 +2024/01/16 16:22:51 - mmengine - INFO - Epoch(train) [16][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:47:53 time: 0.7920 data_time: 0.0352 memory: 9949 loss: 0.5623 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0300 loss_cls: 0.1357 acc: 88.6719 loss_bbox: 0.1834 loss_mask: 0.1980 +2024/01/16 16:23:31 - mmengine - INFO - Epoch(train) [16][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:47:14 time: 0.8003 data_time: 0.0309 memory: 8824 loss: 0.6589 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0357 loss_cls: 0.1807 acc: 97.4609 loss_bbox: 0.2206 loss_mask: 0.1991 +2024/01/16 16:24:10 - mmengine - INFO - Epoch(train) [16][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:46:35 time: 0.7950 data_time: 0.0322 memory: 10572 loss: 0.5976 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0277 loss_cls: 0.1535 acc: 94.9219 loss_bbox: 0.1962 loss_mask: 0.1987 +2024/01/16 16:24:50 - mmengine - INFO - Epoch(train) [16][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:45:56 time: 0.8002 data_time: 0.0298 memory: 10480 loss: 0.5923 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0302 loss_cls: 0.1498 acc: 85.9375 loss_bbox: 0.1979 loss_mask: 0.1981 +2024/01/16 16:25:31 - mmengine - INFO - Epoch(train) [16][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:45:17 time: 0.8037 data_time: 0.0348 memory: 10361 loss: 0.5470 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0285 loss_cls: 0.1309 acc: 99.4141 loss_bbox: 0.1838 loss_mask: 0.1818 +2024/01/16 16:26:10 - mmengine - INFO - Epoch(train) [16][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:44:37 time: 0.7890 data_time: 0.0327 memory: 9365 loss: 0.6837 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0336 loss_cls: 0.1829 acc: 96.8750 loss_bbox: 0.2426 loss_mask: 0.2056 +2024/01/16 16:26:50 - mmengine - INFO - Epoch(train) [16][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:43:58 time: 0.7968 data_time: 0.0305 memory: 8970 loss: 0.5185 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0266 loss_cls: 0.1253 acc: 96.8750 loss_bbox: 0.1656 loss_mask: 0.1827 +2024/01/16 16:27:29 - mmengine - INFO - Epoch(train) [16][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:43:18 time: 0.7901 data_time: 0.0332 memory: 9594 loss: 0.6236 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0261 loss_cls: 0.1602 acc: 98.2422 loss_bbox: 0.1924 loss_mask: 0.2227 +2024/01/16 16:28:09 - mmengine - INFO - Epoch(train) [16][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:42:38 time: 0.7925 data_time: 0.0385 memory: 10572 loss: 0.6417 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0297 loss_cls: 0.1705 acc: 92.5781 loss_bbox: 0.2195 loss_mask: 0.2004 +2024/01/16 16:28:49 - mmengine - INFO - Epoch(train) [16][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:41:59 time: 0.7974 data_time: 0.0373 memory: 9737 loss: 0.7037 loss_rpn_cls: 0.0361 loss_rpn_bbox: 0.0370 loss_cls: 0.1919 acc: 98.8281 loss_bbox: 0.2306 loss_mask: 0.2080 +2024/01/16 16:29:28 - mmengine - INFO - Epoch(train) [16][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:41:19 time: 0.7849 data_time: 0.0326 memory: 10242 loss: 0.6438 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0379 loss_cls: 0.1647 acc: 97.0703 loss_bbox: 0.2236 loss_mask: 0.1976 +2024/01/16 16:30:09 - mmengine - INFO - Epoch(train) [16][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:40:40 time: 0.8125 data_time: 0.0390 memory: 10404 loss: 0.6380 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0354 loss_cls: 0.1642 acc: 94.1406 loss_bbox: 0.2164 loss_mask: 0.1933 +2024/01/16 16:30:49 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 16:30:49 - mmengine - INFO - Epoch(train) [16][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:40:01 time: 0.7915 data_time: 0.0364 memory: 10565 loss: 0.6094 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0339 loss_cls: 0.1724 acc: 83.5938 loss_bbox: 0.1944 loss_mask: 0.1847 +2024/01/16 16:31:28 - mmengine - INFO - Epoch(train) [16][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:39:20 time: 0.7819 data_time: 0.0369 memory: 10017 loss: 0.6434 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0392 loss_cls: 0.1696 acc: 99.4141 loss_bbox: 0.2227 loss_mask: 0.1937 +2024/01/16 16:32:07 - mmengine - INFO - Epoch(train) [16][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:38:40 time: 0.7863 data_time: 0.0337 memory: 10583 loss: 0.5570 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0251 loss_cls: 0.1442 acc: 96.6797 loss_bbox: 0.1801 loss_mask: 0.1876 +2024/01/16 16:32:47 - mmengine - INFO - Epoch(train) [16][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:38:01 time: 0.7942 data_time: 0.0308 memory: 9700 loss: 0.5184 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0250 loss_cls: 0.1304 acc: 98.8281 loss_bbox: 0.1731 loss_mask: 0.1749 +2024/01/16 16:33:26 - mmengine - INFO - Epoch(train) [16][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:37:21 time: 0.7874 data_time: 0.0361 memory: 10789 loss: 0.6474 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0390 loss_cls: 0.1745 acc: 95.8984 loss_bbox: 0.2168 loss_mask: 0.1943 +2024/01/16 16:34:06 - mmengine - INFO - Epoch(train) [16][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:36:42 time: 0.8019 data_time: 0.0361 memory: 10100 loss: 0.6470 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0287 loss_cls: 0.1631 acc: 84.7656 loss_bbox: 0.2230 loss_mask: 0.2113 +2024/01/16 16:34:46 - mmengine - INFO - Epoch(train) [16][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:36:03 time: 0.8047 data_time: 0.0333 memory: 10572 loss: 0.5732 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0306 loss_cls: 0.1478 acc: 96.0938 loss_bbox: 0.1937 loss_mask: 0.1852 +2024/01/16 16:35:25 - mmengine - INFO - Epoch(train) [16][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:35:22 time: 0.7807 data_time: 0.0352 memory: 10583 loss: 0.5980 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0297 loss_cls: 0.1509 acc: 87.6953 loss_bbox: 0.2050 loss_mask: 0.1958 +2024/01/16 16:36:05 - mmengine - INFO - Epoch(train) [16][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:34:43 time: 0.7941 data_time: 0.0378 memory: 11102 loss: 0.6142 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0293 loss_cls: 0.1626 acc: 92.3828 loss_bbox: 0.2014 loss_mask: 0.1958 +2024/01/16 16:36:46 - mmengine - INFO - Epoch(train) [16][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:34:05 time: 0.8146 data_time: 0.0446 memory: 10715 loss: 0.7857 loss_rpn_cls: 0.0347 loss_rpn_bbox: 0.0521 loss_cls: 0.2274 acc: 99.4141 loss_bbox: 0.2585 loss_mask: 0.2130 +2024/01/16 16:37:27 - mmengine - INFO - Epoch(train) [16][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:33:26 time: 0.8133 data_time: 0.0370 memory: 10068 loss: 0.6330 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0359 loss_cls: 0.1601 acc: 97.6562 loss_bbox: 0.2076 loss_mask: 0.2014 +2024/01/16 16:38:06 - mmengine - INFO - Epoch(train) [16][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:32:46 time: 0.7862 data_time: 0.0328 memory: 10986 loss: 0.5770 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0321 loss_cls: 0.1553 acc: 99.6094 loss_bbox: 0.1936 loss_mask: 0.1770 +2024/01/16 16:38:46 - mmengine - INFO - Epoch(train) [16][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:32:07 time: 0.8035 data_time: 0.0312 memory: 10395 loss: 0.5679 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0251 loss_cls: 0.1418 acc: 93.9453 loss_bbox: 0.1920 loss_mask: 0.1854 +2024/01/16 16:39:26 - mmengine - INFO - Epoch(train) [16][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:31:29 time: 0.8052 data_time: 0.0332 memory: 10941 loss: 0.5704 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0284 loss_cls: 0.1514 acc: 97.0703 loss_bbox: 0.1922 loss_mask: 0.1828 +2024/01/16 16:40:06 - mmengine - INFO - Epoch(train) [16][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:30:49 time: 0.7945 data_time: 0.0331 memory: 10159 loss: 0.6209 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0362 loss_cls: 0.1644 acc: 94.3359 loss_bbox: 0.2103 loss_mask: 0.1897 +2024/01/16 16:40:46 - mmengine - INFO - Epoch(train) [16][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:30:10 time: 0.7944 data_time: 0.0351 memory: 10288 loss: 0.7219 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0392 loss_cls: 0.1889 acc: 89.2578 loss_bbox: 0.2534 loss_mask: 0.2131 +2024/01/16 16:41:27 - mmengine - INFO - Epoch(train) [16][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:29:31 time: 0.8115 data_time: 0.0286 memory: 10572 loss: 0.6452 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0288 loss_cls: 0.1648 acc: 95.1172 loss_bbox: 0.2103 loss_mask: 0.2170 +2024/01/16 16:42:07 - mmengine - INFO - Epoch(train) [16][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:28:52 time: 0.8054 data_time: 0.0309 memory: 9340 loss: 0.5865 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0317 loss_cls: 0.1522 acc: 99.2188 loss_bbox: 0.1960 loss_mask: 0.1903 +2024/01/16 16:42:47 - mmengine - INFO - Epoch(train) [16][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:28:13 time: 0.7988 data_time: 0.0370 memory: 10294 loss: 0.6430 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0349 loss_cls: 0.1738 acc: 94.9219 loss_bbox: 0.2074 loss_mask: 0.2034 +2024/01/16 16:43:26 - mmengine - INFO - Epoch(train) [16][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:27:33 time: 0.7903 data_time: 0.0310 memory: 10595 loss: 0.5436 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0284 loss_cls: 0.1345 acc: 99.4141 loss_bbox: 0.1757 loss_mask: 0.1921 +2024/01/16 16:44:05 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 16:44:05 - mmengine - INFO - Epoch(train) [16][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:26:53 time: 0.7826 data_time: 0.0345 memory: 10568 loss: 0.6515 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0343 loss_cls: 0.1644 acc: 99.2188 loss_bbox: 0.2261 loss_mask: 0.2062 +2024/01/16 16:44:46 - mmengine - INFO - Epoch(train) [16][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:26:14 time: 0.8017 data_time: 0.0375 memory: 10568 loss: 0.6076 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0328 loss_cls: 0.1559 acc: 96.2891 loss_bbox: 0.2115 loss_mask: 0.1878 +2024/01/16 16:45:26 - mmengine - INFO - Epoch(train) [16][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:25:35 time: 0.8074 data_time: 0.0338 memory: 10292 loss: 0.6760 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0315 loss_cls: 0.1731 acc: 95.7031 loss_bbox: 0.2185 loss_mask: 0.2264 +2024/01/16 16:46:05 - mmengine - INFO - Epoch(train) [16][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:24:55 time: 0.7820 data_time: 0.0352 memory: 8824 loss: 0.6437 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0326 loss_cls: 0.1675 acc: 99.2188 loss_bbox: 0.2156 loss_mask: 0.2064 +2024/01/16 16:46:44 - mmengine - INFO - Epoch(train) [16][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:24:15 time: 0.7875 data_time: 0.0344 memory: 10651 loss: 0.6021 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0246 loss_cls: 0.1585 acc: 96.2891 loss_bbox: 0.1951 loss_mask: 0.2069 +2024/01/16 16:47:24 - mmengine - INFO - Epoch(train) [16][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:23:36 time: 0.7972 data_time: 0.0314 memory: 10067 loss: 0.6233 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0312 loss_cls: 0.1889 acc: 95.7031 loss_bbox: 0.1914 loss_mask: 0.1897 +2024/01/16 16:48:03 - mmengine - INFO - Epoch(train) [16][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:22:55 time: 0.7803 data_time: 0.0335 memory: 11099 loss: 0.5958 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0345 loss_cls: 0.1630 acc: 90.0391 loss_bbox: 0.1896 loss_mask: 0.1833 +2024/01/16 16:48:43 - mmengine - INFO - Epoch(train) [16][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:22:15 time: 0.7829 data_time: 0.0314 memory: 9847 loss: 0.6435 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0364 loss_cls: 0.1656 acc: 96.0938 loss_bbox: 0.2236 loss_mask: 0.1947 +2024/01/16 16:49:22 - mmengine - INFO - Epoch(train) [16][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:21:35 time: 0.7943 data_time: 0.0349 memory: 10299 loss: 0.6329 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0344 loss_cls: 0.1623 acc: 90.6250 loss_bbox: 0.2156 loss_mask: 0.1938 +2024/01/16 16:50:02 - mmengine - INFO - Epoch(train) [16][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:20:56 time: 0.7949 data_time: 0.0291 memory: 10363 loss: 0.4590 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0268 loss_cls: 0.1098 acc: 98.2422 loss_bbox: 0.1354 loss_mask: 0.1677 +2024/01/16 16:50:42 - mmengine - INFO - Epoch(train) [16][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:20:17 time: 0.7995 data_time: 0.0299 memory: 10443 loss: 0.6389 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0280 loss_cls: 0.1719 acc: 88.8672 loss_bbox: 0.2145 loss_mask: 0.2052 +2024/01/16 16:51:22 - mmengine - INFO - Epoch(train) [16][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:19:37 time: 0.7888 data_time: 0.0278 memory: 10925 loss: 0.4839 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0206 loss_cls: 0.1280 acc: 98.2422 loss_bbox: 0.1600 loss_mask: 0.1577 +2024/01/16 16:52:01 - mmengine - INFO - Epoch(train) [16][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:18:57 time: 0.7865 data_time: 0.0329 memory: 9631 loss: 0.6493 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0357 loss_cls: 0.1860 acc: 94.1406 loss_bbox: 0.2137 loss_mask: 0.1915 +2024/01/16 16:52:41 - mmengine - INFO - Epoch(train) [16][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:18:17 time: 0.8003 data_time: 0.0374 memory: 10789 loss: 0.6234 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0330 loss_cls: 0.1676 acc: 97.8516 loss_bbox: 0.2035 loss_mask: 0.1968 +2024/01/16 16:53:21 - mmengine - INFO - Epoch(train) [16][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:17:38 time: 0.8004 data_time: 0.0407 memory: 10593 loss: 0.5827 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0285 loss_cls: 0.1302 acc: 97.4609 loss_bbox: 0.1836 loss_mask: 0.2247 +2024/01/16 16:54:01 - mmengine - INFO - Epoch(train) [16][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:16:59 time: 0.7992 data_time: 0.0381 memory: 11481 loss: 0.6673 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0343 loss_cls: 0.1694 acc: 98.8281 loss_bbox: 0.2241 loss_mask: 0.2126 +2024/01/16 16:54:40 - mmengine - INFO - Epoch(train) [16][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:16:19 time: 0.7861 data_time: 0.0295 memory: 10067 loss: 0.6203 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0303 loss_cls: 0.1624 acc: 99.4141 loss_bbox: 0.2038 loss_mask: 0.1988 +2024/01/16 16:55:20 - mmengine - INFO - Epoch(train) [16][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:15:40 time: 0.8031 data_time: 0.0341 memory: 10572 loss: 0.5412 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0276 loss_cls: 0.1378 acc: 99.2188 loss_bbox: 0.1745 loss_mask: 0.1770 +2024/01/16 16:56:01 - mmengine - INFO - Epoch(train) [16][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:15:01 time: 0.8021 data_time: 0.0328 memory: 9253 loss: 0.6252 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0318 loss_cls: 0.1724 acc: 88.2812 loss_bbox: 0.2056 loss_mask: 0.1891 +2024/01/16 16:56:41 - mmengine - INFO - Epoch(train) [16][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:14:22 time: 0.8078 data_time: 0.0358 memory: 10572 loss: 0.7312 loss_rpn_cls: 0.0422 loss_rpn_bbox: 0.0408 loss_cls: 0.1840 acc: 88.4766 loss_bbox: 0.2288 loss_mask: 0.2353 +2024/01/16 16:57:21 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 16:57:21 - mmengine - INFO - Epoch(train) [16][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:13:43 time: 0.7949 data_time: 0.0343 memory: 11513 loss: 0.6067 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0282 loss_cls: 0.1629 acc: 98.6328 loss_bbox: 0.1941 loss_mask: 0.2009 +2024/01/16 16:58:00 - mmengine - INFO - Epoch(train) [16][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:13:02 time: 0.7819 data_time: 0.0280 memory: 10105 loss: 0.5342 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0204 loss_cls: 0.1326 acc: 91.4062 loss_bbox: 0.1759 loss_mask: 0.1816 +2024/01/16 16:58:39 - mmengine - INFO - Epoch(train) [16][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:12:22 time: 0.7877 data_time: 0.0421 memory: 9416 loss: 0.6928 loss_rpn_cls: 0.0353 loss_rpn_bbox: 0.0402 loss_cls: 0.1801 acc: 92.9688 loss_bbox: 0.2372 loss_mask: 0.2000 +2024/01/16 16:59:19 - mmengine - INFO - Epoch(train) [16][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:11:43 time: 0.7931 data_time: 0.0374 memory: 10789 loss: 0.6946 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0394 loss_cls: 0.1804 acc: 97.6562 loss_bbox: 0.2297 loss_mask: 0.2191 +2024/01/16 17:00:00 - mmengine - INFO - Epoch(train) [16][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:11:04 time: 0.8118 data_time: 0.0361 memory: 10281 loss: 0.6465 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0346 loss_cls: 0.1788 acc: 95.1172 loss_bbox: 0.2161 loss_mask: 0.1999 +2024/01/16 17:00:38 - mmengine - INFO - Epoch(train) [16][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:10:24 time: 0.7752 data_time: 0.0362 memory: 10572 loss: 0.6628 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0406 loss_cls: 0.1661 acc: 94.9219 loss_bbox: 0.2281 loss_mask: 0.2028 +2024/01/16 17:01:18 - mmengine - INFO - Epoch(train) [16][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:09:44 time: 0.7991 data_time: 0.0342 memory: 11102 loss: 0.5854 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0284 loss_cls: 0.1561 acc: 99.6094 loss_bbox: 0.1950 loss_mask: 0.1826 +2024/01/16 17:01:58 - mmengine - INFO - Epoch(train) [16][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:09:05 time: 0.7991 data_time: 0.0361 memory: 10572 loss: 0.6395 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0362 loss_cls: 0.1658 acc: 96.2891 loss_bbox: 0.2113 loss_mask: 0.2031 +2024/01/16 17:02:38 - mmengine - INFO - Epoch(train) [16][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:08:26 time: 0.7932 data_time: 0.0370 memory: 10572 loss: 0.6838 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0410 loss_cls: 0.1838 acc: 94.3359 loss_bbox: 0.2283 loss_mask: 0.2043 +2024/01/16 17:03:18 - mmengine - INFO - Epoch(train) [16][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:07:46 time: 0.7947 data_time: 0.0325 memory: 10572 loss: 0.5735 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0326 loss_cls: 0.1438 acc: 99.0234 loss_bbox: 0.1949 loss_mask: 0.1800 +2024/01/16 17:03:58 - mmengine - INFO - Epoch(train) [16][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:07:07 time: 0.8018 data_time: 0.0348 memory: 10568 loss: 0.6138 loss_rpn_cls: 0.0357 loss_rpn_bbox: 0.0285 loss_cls: 0.1542 acc: 95.1172 loss_bbox: 0.1988 loss_mask: 0.1966 +2024/01/16 17:04:38 - mmengine - INFO - Epoch(train) [16][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:06:28 time: 0.8036 data_time: 0.0305 memory: 10067 loss: 0.6111 loss_rpn_cls: 0.0306 loss_rpn_bbox: 0.0439 loss_cls: 0.1445 acc: 85.5469 loss_bbox: 0.1831 loss_mask: 0.2091 +2024/01/16 17:05:18 - mmengine - INFO - Epoch(train) [16][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:05:49 time: 0.7954 data_time: 0.0343 memory: 10100 loss: 0.5966 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0327 loss_cls: 0.1510 acc: 86.5234 loss_bbox: 0.2040 loss_mask: 0.1922 +2024/01/16 17:05:58 - mmengine - INFO - Epoch(train) [16][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:05:09 time: 0.7991 data_time: 0.0367 memory: 10572 loss: 0.6854 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0337 loss_cls: 0.1839 acc: 82.4219 loss_bbox: 0.2362 loss_mask: 0.2025 +2024/01/16 17:06:37 - mmengine - INFO - Epoch(train) [16][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:04:29 time: 0.7870 data_time: 0.0361 memory: 10139 loss: 0.6438 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0256 loss_cls: 0.1635 acc: 99.6094 loss_bbox: 0.2207 loss_mask: 0.2185 +2024/01/16 17:07:16 - mmengine - INFO - Epoch(train) [16][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:03:49 time: 0.7833 data_time: 0.0345 memory: 10572 loss: 0.7285 loss_rpn_cls: 0.0291 loss_rpn_bbox: 0.0432 loss_cls: 0.1927 acc: 95.7031 loss_bbox: 0.2442 loss_mask: 0.2192 +2024/01/16 17:07:56 - mmengine - INFO - Epoch(train) [16][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:03:10 time: 0.7995 data_time: 0.0372 memory: 10291 loss: 0.6993 loss_rpn_cls: 0.0278 loss_rpn_bbox: 0.0402 loss_cls: 0.1753 acc: 93.3594 loss_bbox: 0.2363 loss_mask: 0.2197 +2024/01/16 17:08:36 - mmengine - INFO - Epoch(train) [16][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:02:31 time: 0.7987 data_time: 0.0334 memory: 10572 loss: 0.6004 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0305 loss_cls: 0.1660 acc: 99.2188 loss_bbox: 0.2063 loss_mask: 0.1783 +2024/01/16 17:09:16 - mmengine - INFO - Epoch(train) [16][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:01:51 time: 0.7965 data_time: 0.0364 memory: 10572 loss: 0.6915 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0374 loss_cls: 0.1741 acc: 83.5938 loss_bbox: 0.2416 loss_mask: 0.2120 +2024/01/16 17:09:56 - mmengine - INFO - Epoch(train) [16][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:01:12 time: 0.8038 data_time: 0.0353 memory: 10572 loss: 0.6312 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0352 loss_cls: 0.1636 acc: 97.2656 loss_bbox: 0.2004 loss_mask: 0.2022 +2024/01/16 17:10:36 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 17:10:36 - mmengine - INFO - Epoch(train) [16][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 9:00:33 time: 0.7983 data_time: 0.0311 memory: 10788 loss: 0.6373 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0313 loss_cls: 0.1754 acc: 93.1641 loss_bbox: 0.2033 loss_mask: 0.2048 +2024/01/16 17:11:15 - mmengine - INFO - Epoch(train) [16][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:59:53 time: 0.7840 data_time: 0.0357 memory: 10040 loss: 0.6246 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0287 loss_cls: 0.1596 acc: 80.4688 loss_bbox: 0.2114 loss_mask: 0.2089 +2024/01/16 17:11:55 - mmengine - INFO - Epoch(train) [16][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:59:13 time: 0.7848 data_time: 0.0349 memory: 9459 loss: 0.6142 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0337 loss_cls: 0.1625 acc: 95.3125 loss_bbox: 0.1975 loss_mask: 0.1968 +2024/01/16 17:12:34 - mmengine - INFO - Epoch(train) [16][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:58:33 time: 0.7871 data_time: 0.0294 memory: 9599 loss: 0.5837 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0273 loss_cls: 0.1469 acc: 99.8047 loss_bbox: 0.1990 loss_mask: 0.1966 +2024/01/16 17:13:13 - mmengine - INFO - Epoch(train) [16][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:57:53 time: 0.7858 data_time: 0.0353 memory: 10939 loss: 0.6577 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0432 loss_cls: 0.1699 acc: 99.6094 loss_bbox: 0.2195 loss_mask: 0.1977 +2024/01/16 17:13:53 - mmengine - INFO - Epoch(train) [16][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:57:13 time: 0.8007 data_time: 0.0285 memory: 11225 loss: 0.6596 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0290 loss_cls: 0.1631 acc: 93.5547 loss_bbox: 0.2263 loss_mask: 0.2217 +2024/01/16 17:14:33 - mmengine - INFO - Epoch(train) [16][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:56:34 time: 0.7898 data_time: 0.0340 memory: 11102 loss: 0.5998 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0350 loss_cls: 0.1464 acc: 98.4375 loss_bbox: 0.2064 loss_mask: 0.1986 +2024/01/16 17:15:13 - mmengine - INFO - Epoch(train) [16][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:55:54 time: 0.7964 data_time: 0.0299 memory: 9520 loss: 0.6120 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0264 loss_cls: 0.1643 acc: 99.2188 loss_bbox: 0.1875 loss_mask: 0.2173 +2024/01/16 17:15:53 - mmengine - INFO - Epoch(train) [16][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:55:15 time: 0.7951 data_time: 0.0283 memory: 9897 loss: 0.5326 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0269 loss_cls: 0.1250 acc: 96.6797 loss_bbox: 0.1793 loss_mask: 0.1819 +2024/01/16 17:16:33 - mmengine - INFO - Epoch(train) [16][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:54:36 time: 0.8020 data_time: 0.0330 memory: 10583 loss: 0.5889 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0258 loss_cls: 0.1478 acc: 98.6328 loss_bbox: 0.2067 loss_mask: 0.1943 +2024/01/16 17:17:13 - mmengine - INFO - Epoch(train) [16][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:53:57 time: 0.8072 data_time: 0.0369 memory: 10568 loss: 0.6393 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0388 loss_cls: 0.1530 acc: 99.2188 loss_bbox: 0.2211 loss_mask: 0.2020 +2024/01/16 17:17:53 - mmengine - INFO - Epoch(train) [16][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:53:17 time: 0.7929 data_time: 0.0346 memory: 11517 loss: 0.5810 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0259 loss_cls: 0.1423 acc: 87.1094 loss_bbox: 0.2059 loss_mask: 0.1918 +2024/01/16 17:18:33 - mmengine - INFO - Epoch(train) [16][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:52:38 time: 0.8054 data_time: 0.0381 memory: 10301 loss: 0.6787 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0318 loss_cls: 0.1778 acc: 83.3984 loss_bbox: 0.2321 loss_mask: 0.2104 +2024/01/16 17:19:13 - mmengine - INFO - Epoch(train) [16][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:51:59 time: 0.7940 data_time: 0.0361 memory: 9737 loss: 0.6545 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0410 loss_cls: 0.1591 acc: 98.6328 loss_bbox: 0.2146 loss_mask: 0.2165 +2024/01/16 17:19:52 - mmengine - INFO - Epoch(train) [16][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:51:19 time: 0.7893 data_time: 0.0279 memory: 10067 loss: 0.4599 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0181 loss_cls: 0.1106 acc: 100.0000 loss_bbox: 0.1634 loss_mask: 0.1592 +2024/01/16 17:20:32 - mmengine - INFO - Epoch(train) [16][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:50:39 time: 0.7927 data_time: 0.0347 memory: 9949 loss: 0.6589 loss_rpn_cls: 0.0292 loss_rpn_bbox: 0.0369 loss_cls: 0.1882 acc: 94.3359 loss_bbox: 0.2193 loss_mask: 0.1853 +2024/01/16 17:21:11 - mmengine - INFO - Epoch(train) [16][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:49:59 time: 0.7835 data_time: 0.0314 memory: 10067 loss: 0.6054 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0276 loss_cls: 0.1524 acc: 88.0859 loss_bbox: 0.2012 loss_mask: 0.2075 +2024/01/16 17:21:51 - mmengine - INFO - Epoch(train) [16][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:49:20 time: 0.7953 data_time: 0.0317 memory: 10476 loss: 0.5634 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0304 loss_cls: 0.1479 acc: 100.0000 loss_bbox: 0.1744 loss_mask: 0.1935 +2024/01/16 17:22:31 - mmengine - INFO - Epoch(train) [16][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:48:40 time: 0.7995 data_time: 0.0308 memory: 10466 loss: 0.6330 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0316 loss_cls: 0.1726 acc: 99.4141 loss_bbox: 0.2055 loss_mask: 0.1976 +2024/01/16 17:23:11 - mmengine - INFO - Epoch(train) [16][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:48:01 time: 0.7925 data_time: 0.0394 memory: 11517 loss: 0.7180 loss_rpn_cls: 0.0328 loss_rpn_bbox: 0.0390 loss_cls: 0.2026 acc: 98.8281 loss_bbox: 0.2337 loss_mask: 0.2100 +2024/01/16 17:23:51 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 17:23:51 - mmengine - INFO - Epoch(train) [16][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:47:22 time: 0.7993 data_time: 0.0271 memory: 10568 loss: 0.5127 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0227 loss_cls: 0.1361 acc: 96.4844 loss_bbox: 0.1601 loss_mask: 0.1758 +2024/01/16 17:24:30 - mmengine - INFO - Epoch(train) [16][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:46:41 time: 0.7839 data_time: 0.0328 memory: 8824 loss: 0.6222 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0318 loss_cls: 0.1644 acc: 92.3828 loss_bbox: 0.2172 loss_mask: 0.1806 +2024/01/16 17:25:10 - mmengine - INFO - Epoch(train) [16][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:46:02 time: 0.7968 data_time: 0.0319 memory: 10509 loss: 0.6328 loss_rpn_cls: 0.0287 loss_rpn_bbox: 0.0357 loss_cls: 0.1727 acc: 88.4766 loss_bbox: 0.1989 loss_mask: 0.1967 +2024/01/16 17:25:50 - mmengine - INFO - Epoch(train) [16][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:45:23 time: 0.7985 data_time: 0.0300 memory: 10788 loss: 0.5914 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0331 loss_cls: 0.1482 acc: 99.8047 loss_bbox: 0.1938 loss_mask: 0.1996 +2024/01/16 17:26:29 - mmengine - INFO - Epoch(train) [16][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:44:43 time: 0.7915 data_time: 0.0328 memory: 11102 loss: 0.5161 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0282 loss_cls: 0.1263 acc: 96.0938 loss_bbox: 0.1670 loss_mask: 0.1814 +2024/01/16 17:27:08 - mmengine - INFO - Epoch(train) [16][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:44:03 time: 0.7836 data_time: 0.0303 memory: 9120 loss: 0.5940 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0246 loss_cls: 0.1638 acc: 92.5781 loss_bbox: 0.1881 loss_mask: 0.2034 +2024/01/16 17:27:49 - mmengine - INFO - Epoch(train) [16][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:43:24 time: 0.8119 data_time: 0.0319 memory: 10207 loss: 0.5821 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0323 loss_cls: 0.1487 acc: 83.5938 loss_bbox: 0.1858 loss_mask: 0.1916 +2024/01/16 17:28:29 - mmengine - INFO - Epoch(train) [16][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:42:45 time: 0.7930 data_time: 0.0320 memory: 9800 loss: 0.5916 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0258 loss_cls: 0.1691 acc: 86.5234 loss_bbox: 0.1903 loss_mask: 0.1907 +2024/01/16 17:29:08 - mmengine - INFO - Epoch(train) [16][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:42:04 time: 0.7806 data_time: 0.0366 memory: 9601 loss: 0.6765 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0323 loss_cls: 0.1816 acc: 97.4609 loss_bbox: 0.2148 loss_mask: 0.2224 +2024/01/16 17:29:47 - mmengine - INFO - Epoch(train) [16][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:41:24 time: 0.7885 data_time: 0.0319 memory: 9734 loss: 0.5698 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0250 loss_cls: 0.1387 acc: 97.2656 loss_bbox: 0.1826 loss_mask: 0.2045 +2024/01/16 17:30:27 - mmengine - INFO - Epoch(train) [16][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:40:45 time: 0.7925 data_time: 0.0342 memory: 10707 loss: 0.6312 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0366 loss_cls: 0.1642 acc: 91.2109 loss_bbox: 0.2013 loss_mask: 0.2059 +2024/01/16 17:31:06 - mmengine - INFO - Epoch(train) [16][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:40:04 time: 0.7821 data_time: 0.0328 memory: 9591 loss: 0.6797 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0347 loss_cls: 0.1636 acc: 94.7266 loss_bbox: 0.2342 loss_mask: 0.2189 +2024/01/16 17:31:46 - mmengine - INFO - Epoch(train) [16][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:39:25 time: 0.7978 data_time: 0.0443 memory: 11026 loss: 0.7172 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0378 loss_cls: 0.1888 acc: 84.7656 loss_bbox: 0.2403 loss_mask: 0.2171 +2024/01/16 17:32:26 - mmengine - INFO - Epoch(train) [16][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:38:46 time: 0.8109 data_time: 0.0336 memory: 10067 loss: 0.5783 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0277 loss_cls: 0.1578 acc: 97.0703 loss_bbox: 0.1884 loss_mask: 0.1902 +2024/01/16 17:33:07 - mmengine - INFO - Epoch(train) [16][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:38:07 time: 0.8019 data_time: 0.0378 memory: 10572 loss: 0.6850 loss_rpn_cls: 0.0335 loss_rpn_bbox: 0.0360 loss_cls: 0.1786 acc: 98.2422 loss_bbox: 0.2137 loss_mask: 0.2233 +2024/01/16 17:33:46 - mmengine - INFO - Epoch(train) [16][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:37:28 time: 0.7897 data_time: 0.0304 memory: 10207 loss: 0.4904 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0234 loss_cls: 0.1215 acc: 99.8047 loss_bbox: 0.1554 loss_mask: 0.1790 +2024/01/16 17:34:25 - mmengine - INFO - Epoch(train) [16][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:36:47 time: 0.7860 data_time: 0.0336 memory: 9353 loss: 0.5944 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0302 loss_cls: 0.1529 acc: 94.3359 loss_bbox: 0.1990 loss_mask: 0.1963 +2024/01/16 17:35:05 - mmengine - INFO - Epoch(train) [16][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:36:08 time: 0.8012 data_time: 0.0358 memory: 10712 loss: 0.7771 loss_rpn_cls: 0.0345 loss_rpn_bbox: 0.0435 loss_cls: 0.2225 acc: 100.0000 loss_bbox: 0.2592 loss_mask: 0.2173 +2024/01/16 17:35:45 - mmengine - INFO - Epoch(train) [16][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:35:28 time: 0.7830 data_time: 0.0347 memory: 10903 loss: 0.6059 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0308 loss_cls: 0.1596 acc: 99.8047 loss_bbox: 0.2020 loss_mask: 0.1948 +2024/01/16 17:36:24 - mmengine - INFO - Epoch(train) [16][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:34:48 time: 0.7909 data_time: 0.0356 memory: 9949 loss: 0.7095 loss_rpn_cls: 0.0271 loss_rpn_bbox: 0.0402 loss_cls: 0.1839 acc: 81.4453 loss_bbox: 0.2227 loss_mask: 0.2355 +2024/01/16 17:37:04 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 17:37:04 - mmengine - INFO - Epoch(train) [16][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:34:08 time: 0.7877 data_time: 0.0315 memory: 10568 loss: 0.6111 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0280 loss_cls: 0.1525 acc: 99.4141 loss_bbox: 0.2020 loss_mask: 0.2112 +2024/01/16 17:37:42 - mmengine - INFO - Epoch(train) [16][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:33:28 time: 0.7786 data_time: 0.0400 memory: 10067 loss: 0.7212 loss_rpn_cls: 0.0328 loss_rpn_bbox: 0.0452 loss_cls: 0.1900 acc: 88.2812 loss_bbox: 0.2497 loss_mask: 0.2036 +2024/01/16 17:38:22 - mmengine - INFO - Epoch(train) [16][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:32:48 time: 0.7835 data_time: 0.0351 memory: 10572 loss: 0.6675 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0380 loss_cls: 0.1695 acc: 96.6797 loss_bbox: 0.2359 loss_mask: 0.2066 +2024/01/16 17:39:02 - mmengine - INFO - Epoch(train) [16][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:32:08 time: 0.7971 data_time: 0.0304 memory: 10067 loss: 0.6111 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0296 loss_cls: 0.1631 acc: 97.0703 loss_bbox: 0.1981 loss_mask: 0.1955 +2024/01/16 17:39:40 - mmengine - INFO - Epoch(train) [16][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:31:27 time: 0.7734 data_time: 0.0332 memory: 10067 loss: 0.5458 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0307 loss_cls: 0.1526 acc: 98.8281 loss_bbox: 0.1735 loss_mask: 0.1670 +2024/01/16 17:40:20 - mmengine - INFO - Epoch(train) [16][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:30:47 time: 0.7878 data_time: 0.0263 memory: 11102 loss: 0.5809 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0266 loss_cls: 0.1574 acc: 99.4141 loss_bbox: 0.1891 loss_mask: 0.1856 +2024/01/16 17:41:00 - mmengine - INFO - Epoch(train) [16][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:30:08 time: 0.7997 data_time: 0.0315 memory: 10466 loss: 0.5967 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0313 loss_cls: 0.1531 acc: 94.7266 loss_bbox: 0.1990 loss_mask: 0.1892 +2024/01/16 17:41:40 - mmengine - INFO - Epoch(train) [16][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:29:29 time: 0.7984 data_time: 0.0299 memory: 10013 loss: 0.5872 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0337 loss_cls: 0.1438 acc: 92.9688 loss_bbox: 0.1975 loss_mask: 0.1904 +2024/01/16 17:42:19 - mmengine - INFO - Epoch(train) [16][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:28:48 time: 0.7818 data_time: 0.0311 memory: 9502 loss: 0.5598 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0222 loss_cls: 0.1389 acc: 95.8984 loss_bbox: 0.1886 loss_mask: 0.1957 +2024/01/16 17:42:59 - mmengine - INFO - Epoch(train) [16][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:28:09 time: 0.8030 data_time: 0.0343 memory: 10568 loss: 0.6525 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0330 loss_cls: 0.1809 acc: 98.4375 loss_bbox: 0.2184 loss_mask: 0.2009 +2024/01/16 17:43:39 - mmengine - INFO - Epoch(train) [16][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:27:30 time: 0.8016 data_time: 0.0302 memory: 10212 loss: 0.5841 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0277 loss_cls: 0.1392 acc: 96.4844 loss_bbox: 0.1872 loss_mask: 0.2093 +2024/01/16 17:44:19 - mmengine - INFO - Epoch(train) [16][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:26:51 time: 0.8040 data_time: 0.0278 memory: 10513 loss: 0.5182 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0244 loss_cls: 0.1286 acc: 90.8203 loss_bbox: 0.1704 loss_mask: 0.1854 +2024/01/16 17:44:59 - mmengine - INFO - Epoch(train) [16][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:26:12 time: 0.7888 data_time: 0.0306 memory: 9120 loss: 0.6417 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0393 loss_cls: 0.1661 acc: 97.8516 loss_bbox: 0.2165 loss_mask: 0.1973 +2024/01/16 17:45:39 - mmengine - INFO - Epoch(train) [16][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:25:32 time: 0.7984 data_time: 0.0343 memory: 10779 loss: 0.6043 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0311 loss_cls: 0.1551 acc: 90.4297 loss_bbox: 0.2076 loss_mask: 0.1914 +2024/01/16 17:46:18 - mmengine - INFO - Epoch(train) [16][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:24:52 time: 0.7865 data_time: 0.0386 memory: 10278 loss: 0.6537 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0345 loss_cls: 0.1645 acc: 96.6797 loss_bbox: 0.2152 loss_mask: 0.2224 +2024/01/16 17:46:57 - mmengine - INFO - Epoch(train) [16][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:24:12 time: 0.7883 data_time: 0.0366 memory: 10572 loss: 0.6859 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0386 loss_cls: 0.1895 acc: 99.0234 loss_bbox: 0.2243 loss_mask: 0.2053 +2024/01/16 17:47:37 - mmengine - INFO - Epoch(train) [16][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:23:32 time: 0.7908 data_time: 0.0325 memory: 9662 loss: 0.6367 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0358 loss_cls: 0.1739 acc: 99.8047 loss_bbox: 0.2028 loss_mask: 0.2018 +2024/01/16 17:48:16 - mmengine - INFO - Epoch(train) [16][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:22:53 time: 0.7881 data_time: 0.0379 memory: 9577 loss: 0.6717 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0354 loss_cls: 0.1740 acc: 95.8984 loss_bbox: 0.2237 loss_mask: 0.2144 +2024/01/16 17:48:56 - mmengine - INFO - Epoch(train) [16][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:22:13 time: 0.7905 data_time: 0.0381 memory: 10838 loss: 0.6942 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0374 loss_cls: 0.1732 acc: 85.1562 loss_bbox: 0.2481 loss_mask: 0.2140 +2024/01/16 17:49:36 - mmengine - INFO - Epoch(train) [16][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:21:34 time: 0.8028 data_time: 0.0329 memory: 11099 loss: 0.6867 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0284 loss_cls: 0.2181 acc: 86.3281 loss_bbox: 0.2160 loss_mask: 0.2048 +2024/01/16 17:50:15 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 17:50:15 - mmengine - INFO - Epoch(train) [16][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:20:53 time: 0.7764 data_time: 0.0363 memory: 9884 loss: 0.6945 loss_rpn_cls: 0.0307 loss_rpn_bbox: 0.0347 loss_cls: 0.1926 acc: 96.0938 loss_bbox: 0.2319 loss_mask: 0.2045 +2024/01/16 17:50:55 - mmengine - INFO - Epoch(train) [16][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:20:14 time: 0.7949 data_time: 0.0337 memory: 10672 loss: 0.6268 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0354 loss_cls: 0.1584 acc: 93.3594 loss_bbox: 0.2104 loss_mask: 0.1985 +2024/01/16 17:51:34 - mmengine - INFO - Epoch(train) [16][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:19:34 time: 0.7924 data_time: 0.0275 memory: 10572 loss: 0.5702 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0251 loss_cls: 0.1412 acc: 82.6172 loss_bbox: 0.1882 loss_mask: 0.2005 +2024/01/16 17:52:14 - mmengine - INFO - Epoch(train) [16][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:18:54 time: 0.7857 data_time: 0.0386 memory: 10313 loss: 0.6946 loss_rpn_cls: 0.0361 loss_rpn_bbox: 0.0406 loss_cls: 0.1859 acc: 99.2188 loss_bbox: 0.2305 loss_mask: 0.2014 +2024/01/16 17:52:54 - mmengine - INFO - Epoch(train) [16][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:18:16 time: 0.8161 data_time: 0.0301 memory: 10787 loss: 0.5126 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0236 loss_cls: 0.1405 acc: 94.5312 loss_bbox: 0.1528 loss_mask: 0.1751 +2024/01/16 17:53:33 - mmengine - INFO - Epoch(train) [16][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:17:35 time: 0.7737 data_time: 0.0338 memory: 9253 loss: 0.6363 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0346 loss_cls: 0.1755 acc: 97.6562 loss_bbox: 0.2035 loss_mask: 0.2016 +2024/01/16 17:53:57 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 17:53:57 - mmengine - INFO - Saving checkpoint at 16 epochs +2024/01/16 17:54:10 - mmengine - INFO - Epoch(val) [16][ 50/313] eta: 0:00:51 time: 0.1957 data_time: 0.0345 memory: 10572 +2024/01/16 17:54:19 - mmengine - INFO - Epoch(val) [16][100/313] eta: 0:00:41 time: 0.1932 data_time: 0.0312 memory: 2388 +2024/01/16 17:54:29 - mmengine - INFO - Epoch(val) [16][150/313] eta: 0:00:31 time: 0.1971 data_time: 0.0315 memory: 2431 +2024/01/16 17:54:39 - mmengine - INFO - Epoch(val) [16][200/313] eta: 0:00:22 time: 0.1983 data_time: 0.0355 memory: 2403 +2024/01/16 17:54:48 - mmengine - INFO - Epoch(val) [16][250/313] eta: 0:00:12 time: 0.1819 data_time: 0.0258 memory: 2431 +2024/01/16 17:54:59 - mmengine - INFO - Epoch(val) [16][300/313] eta: 0:00:02 time: 0.2123 data_time: 0.0516 memory: 2403 +2024/01/16 17:55:09 - mmengine - INFO - Evaluating bbox... +2024/01/16 17:55:33 - mmengine - INFO - bbox_mAP_copypaste: 0.469 0.686 0.515 0.308 0.512 0.608 +2024/01/16 17:55:33 - mmengine - INFO - Evaluating segm... +2024/01/16 17:56:01 - mmengine - INFO - segm_mAP_copypaste: 0.421 0.657 0.449 0.228 0.457 0.608 +2024/01/16 17:56:02 - mmengine - INFO - Epoch(val) [16][313/313] coco/bbox_mAP: 0.4690 coco/bbox_mAP_50: 0.6860 coco/bbox_mAP_75: 0.5150 coco/bbox_mAP_s: 0.3080 coco/bbox_mAP_m: 0.5120 coco/bbox_mAP_l: 0.6080 coco/segm_mAP: 0.4210 coco/segm_mAP_50: 0.6570 coco/segm_mAP_75: 0.4490 coco/segm_mAP_s: 0.2280 coco/segm_mAP_m: 0.4570 coco/segm_mAP_l: 0.6080 data_time: 0.0338 time: 0.1949 +2024/01/16 17:56:43 - mmengine - INFO - Epoch(train) [17][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:16:32 time: 0.8182 data_time: 0.0409 memory: 10456 loss: 0.6470 loss_rpn_cls: 0.0292 loss_rpn_bbox: 0.0380 loss_cls: 0.1756 acc: 99.0234 loss_bbox: 0.2100 loss_mask: 0.1943 +2024/01/16 17:57:22 - mmengine - INFO - Epoch(train) [17][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:15:52 time: 0.7865 data_time: 0.0317 memory: 9736 loss: 0.6197 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0280 loss_cls: 0.1651 acc: 98.2422 loss_bbox: 0.2030 loss_mask: 0.1978 +2024/01/16 17:58:02 - mmengine - INFO - Epoch(train) [17][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:15:13 time: 0.8008 data_time: 0.0300 memory: 10404 loss: 0.5074 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0238 loss_cls: 0.1261 acc: 92.9688 loss_bbox: 0.1622 loss_mask: 0.1760 +2024/01/16 17:58:41 - mmengine - INFO - Epoch(train) [17][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:14:33 time: 0.7871 data_time: 0.0327 memory: 9736 loss: 0.6518 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0386 loss_cls: 0.1704 acc: 99.6094 loss_bbox: 0.2137 loss_mask: 0.1976 +2024/01/16 17:59:21 - mmengine - INFO - Epoch(train) [17][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:13:54 time: 0.7927 data_time: 0.0408 memory: 10090 loss: 0.6641 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0376 loss_cls: 0.1814 acc: 93.7500 loss_bbox: 0.2220 loss_mask: 0.2009 +2024/01/16 18:00:01 - mmengine - INFO - Epoch(train) [17][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:13:14 time: 0.7943 data_time: 0.0309 memory: 9180 loss: 0.5970 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0283 loss_cls: 0.1471 acc: 99.0234 loss_bbox: 0.1971 loss_mask: 0.2065 +2024/01/16 18:00:40 - mmengine - INFO - Epoch(train) [17][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:12:34 time: 0.7903 data_time: 0.0292 memory: 9042 loss: 0.5565 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0300 loss_cls: 0.1450 acc: 99.0234 loss_bbox: 0.1795 loss_mask: 0.1792 +2024/01/16 18:01:20 - mmengine - INFO - Epoch(train) [17][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:11:55 time: 0.7994 data_time: 0.0313 memory: 9793 loss: 0.6069 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0310 loss_cls: 0.1579 acc: 89.2578 loss_bbox: 0.2078 loss_mask: 0.1889 +2024/01/16 18:02:00 - mmengine - INFO - Epoch(train) [17][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:11:15 time: 0.7937 data_time: 0.0241 memory: 10572 loss: 0.4812 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0265 loss_cls: 0.1210 acc: 93.7500 loss_bbox: 0.1501 loss_mask: 0.1599 +2024/01/16 18:02:40 - mmengine - INFO - Epoch(train) [17][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:10:36 time: 0.7980 data_time: 0.0259 memory: 10499 loss: 0.6110 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0273 loss_cls: 0.1587 acc: 99.4141 loss_bbox: 0.2062 loss_mask: 0.1930 +2024/01/16 18:03:20 - mmengine - INFO - Epoch(train) [17][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:09:57 time: 0.8011 data_time: 0.0325 memory: 10298 loss: 0.5987 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0274 loss_cls: 0.1584 acc: 96.8750 loss_bbox: 0.1933 loss_mask: 0.2020 +2024/01/16 18:03:59 - mmengine - INFO - Epoch(train) [17][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:09:17 time: 0.7880 data_time: 0.0305 memory: 10402 loss: 0.5677 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0316 loss_cls: 0.1443 acc: 97.0703 loss_bbox: 0.1854 loss_mask: 0.1855 +2024/01/16 18:04:39 - mmengine - INFO - Epoch(train) [17][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:08:37 time: 0.7949 data_time: 0.0308 memory: 10067 loss: 0.5736 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0216 loss_cls: 0.1375 acc: 91.2109 loss_bbox: 0.1924 loss_mask: 0.2085 +2024/01/16 18:05:19 - mmengine - INFO - Epoch(train) [17][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:07:58 time: 0.7879 data_time: 0.0284 memory: 11099 loss: 0.4900 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0262 loss_cls: 0.1233 acc: 99.8047 loss_bbox: 0.1550 loss_mask: 0.1652 +2024/01/16 18:05:35 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 18:05:58 - mmengine - INFO - Epoch(train) [17][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:07:18 time: 0.7898 data_time: 0.0349 memory: 9530 loss: 0.6496 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0405 loss_cls: 0.1548 acc: 86.9141 loss_bbox: 0.2153 loss_mask: 0.2166 +2024/01/16 18:06:37 - mmengine - INFO - Epoch(train) [17][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:06:38 time: 0.7852 data_time: 0.0331 memory: 10067 loss: 0.6007 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0270 loss_cls: 0.1598 acc: 98.4375 loss_bbox: 0.1906 loss_mask: 0.2036 +2024/01/16 18:07:17 - mmengine - INFO - Epoch(train) [17][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:05:58 time: 0.7862 data_time: 0.0335 memory: 10466 loss: 0.6469 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0317 loss_cls: 0.1689 acc: 98.8281 loss_bbox: 0.2160 loss_mask: 0.2125 +2024/01/16 18:07:56 - mmengine - INFO - Epoch(train) [17][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:05:18 time: 0.7898 data_time: 0.0337 memory: 10285 loss: 0.5662 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0259 loss_cls: 0.1454 acc: 90.0391 loss_bbox: 0.1683 loss_mask: 0.2100 +2024/01/16 18:08:36 - mmengine - INFO - Epoch(train) [17][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:04:38 time: 0.7855 data_time: 0.0398 memory: 10568 loss: 0.7589 loss_rpn_cls: 0.0317 loss_rpn_bbox: 0.0365 loss_cls: 0.2141 acc: 98.8281 loss_bbox: 0.2559 loss_mask: 0.2206 +2024/01/16 18:09:16 - mmengine - INFO - Epoch(train) [17][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:03:58 time: 0.7991 data_time: 0.0294 memory: 10735 loss: 0.6080 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0301 loss_cls: 0.1660 acc: 91.9922 loss_bbox: 0.2164 loss_mask: 0.1745 +2024/01/16 18:09:56 - mmengine - INFO - Epoch(train) [17][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:03:20 time: 0.8079 data_time: 0.0352 memory: 10067 loss: 0.5694 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0240 loss_cls: 0.1554 acc: 95.1172 loss_bbox: 0.1803 loss_mask: 0.1924 +2024/01/16 18:10:36 - mmengine - INFO - Epoch(train) [17][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:02:40 time: 0.7966 data_time: 0.0294 memory: 10572 loss: 0.6291 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0314 loss_cls: 0.1775 acc: 96.8750 loss_bbox: 0.2162 loss_mask: 0.1831 +2024/01/16 18:11:15 - mmengine - INFO - Epoch(train) [17][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:02:00 time: 0.7781 data_time: 0.0355 memory: 9260 loss: 0.7127 loss_rpn_cls: 0.0337 loss_rpn_bbox: 0.0392 loss_cls: 0.1883 acc: 87.3047 loss_bbox: 0.2448 loss_mask: 0.2067 +2024/01/16 18:11:54 - mmengine - INFO - Epoch(train) [17][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:01:20 time: 0.7865 data_time: 0.0294 memory: 10081 loss: 0.5383 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0232 loss_cls: 0.1390 acc: 95.8984 loss_bbox: 0.1779 loss_mask: 0.1871 +2024/01/16 18:12:34 - mmengine - INFO - Epoch(train) [17][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:00:41 time: 0.8037 data_time: 0.0329 memory: 10516 loss: 0.6214 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0309 loss_cls: 0.1652 acc: 94.7266 loss_bbox: 0.2096 loss_mask: 0.1918 +2024/01/16 18:13:14 - mmengine - INFO - Epoch(train) [17][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 8:00:01 time: 0.7934 data_time: 0.0299 memory: 10081 loss: 0.6180 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0295 loss_cls: 0.1715 acc: 100.0000 loss_bbox: 0.1964 loss_mask: 0.1997 +2024/01/16 18:13:54 - mmengine - INFO - Epoch(train) [17][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:59:22 time: 0.8007 data_time: 0.0275 memory: 10715 loss: 0.5711 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0255 loss_cls: 0.1443 acc: 86.3281 loss_bbox: 0.1870 loss_mask: 0.1937 +2024/01/16 18:14:35 - mmengine - INFO - Epoch(train) [17][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:58:44 time: 0.8200 data_time: 0.0313 memory: 10292 loss: 0.5174 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0256 loss_cls: 0.1263 acc: 98.8281 loss_bbox: 0.1655 loss_mask: 0.1810 +2024/01/16 18:15:14 - mmengine - INFO - Epoch(train) [17][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:58:04 time: 0.7818 data_time: 0.0322 memory: 11026 loss: 0.5959 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0344 loss_cls: 0.1378 acc: 99.4141 loss_bbox: 0.1953 loss_mask: 0.2096 +2024/01/16 18:15:55 - mmengine - INFO - Epoch(train) [17][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:57:25 time: 0.8132 data_time: 0.0369 memory: 11068 loss: 0.6389 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0321 loss_cls: 0.1723 acc: 98.0469 loss_bbox: 0.2168 loss_mask: 0.1951 +2024/01/16 18:16:34 - mmengine - INFO - Epoch(train) [17][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:56:45 time: 0.7874 data_time: 0.0328 memory: 10572 loss: 0.5640 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0283 loss_cls: 0.1519 acc: 89.6484 loss_bbox: 0.1937 loss_mask: 0.1718 +2024/01/16 18:17:14 - mmengine - INFO - Epoch(train) [17][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:56:06 time: 0.7991 data_time: 0.0282 memory: 11049 loss: 0.6308 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0289 loss_cls: 0.1616 acc: 93.1641 loss_bbox: 0.2146 loss_mask: 0.2067 +2024/01/16 18:17:54 - mmengine - INFO - Epoch(train) [17][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:55:26 time: 0.7924 data_time: 0.0329 memory: 11023 loss: 0.5952 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0306 loss_cls: 0.1563 acc: 95.5078 loss_bbox: 0.1985 loss_mask: 0.1886 +2024/01/16 18:18:33 - mmengine - INFO - Epoch(train) [17][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:54:47 time: 0.7930 data_time: 0.0363 memory: 10572 loss: 0.7472 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0433 loss_cls: 0.1854 acc: 88.2812 loss_bbox: 0.2592 loss_mask: 0.2362 +2024/01/16 18:18:49 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 18:19:13 - mmengine - INFO - Epoch(train) [17][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:54:07 time: 0.7857 data_time: 0.0377 memory: 9864 loss: 0.5854 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0328 loss_cls: 0.1456 acc: 99.6094 loss_bbox: 0.1989 loss_mask: 0.1921 +2024/01/16 18:19:52 - mmengine - INFO - Epoch(train) [17][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:53:27 time: 0.7912 data_time: 0.0309 memory: 9800 loss: 0.5611 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0269 loss_cls: 0.1370 acc: 97.6562 loss_bbox: 0.1787 loss_mask: 0.2010 +2024/01/16 18:20:32 - mmengine - INFO - Epoch(train) [17][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:52:47 time: 0.7970 data_time: 0.0372 memory: 10788 loss: 0.7194 loss_rpn_cls: 0.0347 loss_rpn_bbox: 0.0453 loss_cls: 0.2002 acc: 99.4141 loss_bbox: 0.2483 loss_mask: 0.1910 +2024/01/16 18:21:11 - mmengine - INFO - Epoch(train) [17][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:52:07 time: 0.7805 data_time: 0.0358 memory: 11102 loss: 0.6910 loss_rpn_cls: 0.0299 loss_rpn_bbox: 0.0411 loss_cls: 0.1766 acc: 98.2422 loss_bbox: 0.2361 loss_mask: 0.2073 +2024/01/16 18:21:51 - mmengine - INFO - Epoch(train) [17][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:51:27 time: 0.7940 data_time: 0.0331 memory: 8924 loss: 0.5889 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0328 loss_cls: 0.1578 acc: 94.5312 loss_bbox: 0.1914 loss_mask: 0.1845 +2024/01/16 18:22:31 - mmengine - INFO - Epoch(train) [17][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:50:48 time: 0.7940 data_time: 0.0294 memory: 9949 loss: 0.6159 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0322 loss_cls: 0.1583 acc: 91.7969 loss_bbox: 0.2058 loss_mask: 0.1993 +2024/01/16 18:23:10 - mmengine - INFO - Epoch(train) [17][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:50:08 time: 0.7910 data_time: 0.0379 memory: 10430 loss: 0.6068 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0344 loss_cls: 0.1579 acc: 96.8750 loss_bbox: 0.1952 loss_mask: 0.1947 +2024/01/16 18:23:50 - mmengine - INFO - Epoch(train) [17][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:49:28 time: 0.7879 data_time: 0.0364 memory: 10278 loss: 0.6330 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0396 loss_cls: 0.1719 acc: 85.9375 loss_bbox: 0.2124 loss_mask: 0.1828 +2024/01/16 18:24:30 - mmengine - INFO - Epoch(train) [17][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:48:49 time: 0.7965 data_time: 0.0351 memory: 9736 loss: 0.6074 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0338 loss_cls: 0.1466 acc: 100.0000 loss_bbox: 0.2053 loss_mask: 0.2041 +2024/01/16 18:25:09 - mmengine - INFO - Epoch(train) [17][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:48:09 time: 0.7960 data_time: 0.0378 memory: 10715 loss: 0.6815 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0408 loss_cls: 0.1813 acc: 87.8906 loss_bbox: 0.2340 loss_mask: 0.2018 +2024/01/16 18:25:49 - mmengine - INFO - Epoch(train) [17][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:47:30 time: 0.8009 data_time: 0.0318 memory: 10067 loss: 0.5013 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0221 loss_cls: 0.1251 acc: 79.6875 loss_bbox: 0.1584 loss_mask: 0.1799 +2024/01/16 18:26:30 - mmengine - INFO - Epoch(train) [17][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:46:51 time: 0.8022 data_time: 0.0297 memory: 9850 loss: 0.5978 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0302 loss_cls: 0.1518 acc: 97.6562 loss_bbox: 0.1939 loss_mask: 0.1972 +2024/01/16 18:27:10 - mmengine - INFO - Epoch(train) [17][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:46:12 time: 0.8013 data_time: 0.0391 memory: 10101 loss: 0.6132 loss_rpn_cls: 0.0285 loss_rpn_bbox: 0.0335 loss_cls: 0.1801 acc: 98.6328 loss_bbox: 0.1866 loss_mask: 0.1845 +2024/01/16 18:27:49 - mmengine - INFO - Epoch(train) [17][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:45:32 time: 0.7837 data_time: 0.0284 memory: 10174 loss: 0.6218 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0268 loss_cls: 0.1703 acc: 92.7734 loss_bbox: 0.2202 loss_mask: 0.1855 +2024/01/16 18:28:28 - mmengine - INFO - Epoch(train) [17][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:44:52 time: 0.7865 data_time: 0.0308 memory: 10295 loss: 0.5766 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0278 loss_cls: 0.1518 acc: 95.5078 loss_bbox: 0.1970 loss_mask: 0.1839 +2024/01/16 18:29:08 - mmengine - INFO - Epoch(train) [17][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:44:12 time: 0.7903 data_time: 0.0305 memory: 10583 loss: 0.5379 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0240 loss_cls: 0.1378 acc: 95.5078 loss_bbox: 0.1816 loss_mask: 0.1761 +2024/01/16 18:29:47 - mmengine - INFO - Epoch(train) [17][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:43:32 time: 0.7955 data_time: 0.0370 memory: 10823 loss: 0.6994 loss_rpn_cls: 0.0315 loss_rpn_bbox: 0.0363 loss_cls: 0.1801 acc: 96.4844 loss_bbox: 0.2558 loss_mask: 0.1956 +2024/01/16 18:30:27 - mmengine - INFO - Epoch(train) [17][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:42:53 time: 0.7888 data_time: 0.0350 memory: 10489 loss: 0.6175 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0327 loss_cls: 0.1569 acc: 97.6562 loss_bbox: 0.2130 loss_mask: 0.1963 +2024/01/16 18:31:07 - mmengine - INFO - Epoch(train) [17][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:42:13 time: 0.7928 data_time: 0.0395 memory: 10568 loss: 0.6669 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0348 loss_cls: 0.1730 acc: 87.5000 loss_bbox: 0.2298 loss_mask: 0.2052 +2024/01/16 18:31:47 - mmengine - INFO - Epoch(train) [17][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:41:34 time: 0.8066 data_time: 0.0333 memory: 10568 loss: 0.5946 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0283 loss_cls: 0.1668 acc: 98.6328 loss_bbox: 0.1912 loss_mask: 0.1874 +2024/01/16 18:32:03 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 18:32:27 - mmengine - INFO - Epoch(train) [17][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:40:55 time: 0.7995 data_time: 0.0331 memory: 10754 loss: 0.6134 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0320 loss_cls: 0.1530 acc: 93.9453 loss_bbox: 0.2014 loss_mask: 0.2023 +2024/01/16 18:33:07 - mmengine - INFO - Epoch(train) [17][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:40:16 time: 0.8009 data_time: 0.0346 memory: 10666 loss: 0.6181 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0255 loss_cls: 0.1631 acc: 85.5469 loss_bbox: 0.2084 loss_mask: 0.2067 +2024/01/16 18:33:47 - mmengine - INFO - Epoch(train) [17][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:39:36 time: 0.7939 data_time: 0.0290 memory: 11396 loss: 0.5415 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0269 loss_cls: 0.1466 acc: 92.7734 loss_bbox: 0.1790 loss_mask: 0.1705 +2024/01/16 18:34:27 - mmengine - INFO - Epoch(train) [17][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:38:57 time: 0.8032 data_time: 0.0354 memory: 10789 loss: 0.6255 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0380 loss_cls: 0.1512 acc: 89.2578 loss_bbox: 0.2117 loss_mask: 0.2048 +2024/01/16 18:35:06 - mmengine - INFO - Epoch(train) [17][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:38:17 time: 0.7881 data_time: 0.0365 memory: 11102 loss: 0.6116 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0366 loss_cls: 0.1544 acc: 97.6562 loss_bbox: 0.2077 loss_mask: 0.1949 +2024/01/16 18:35:46 - mmengine - INFO - Epoch(train) [17][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:37:38 time: 0.8012 data_time: 0.0267 memory: 10211 loss: 0.5598 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0279 loss_cls: 0.1373 acc: 99.6094 loss_bbox: 0.1789 loss_mask: 0.2033 +2024/01/16 18:36:26 - mmengine - INFO - Epoch(train) [17][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:36:58 time: 0.7860 data_time: 0.0394 memory: 10152 loss: 0.6235 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0309 loss_cls: 0.1605 acc: 90.4297 loss_bbox: 0.2091 loss_mask: 0.2014 +2024/01/16 18:37:05 - mmengine - INFO - Epoch(train) [17][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:36:17 time: 0.7792 data_time: 0.0339 memory: 10476 loss: 0.7665 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0425 loss_cls: 0.2059 acc: 88.4766 loss_bbox: 0.2546 loss_mask: 0.2325 +2024/01/16 18:37:44 - mmengine - INFO - Epoch(train) [17][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:35:37 time: 0.7852 data_time: 0.0331 memory: 10753 loss: 0.7517 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0412 loss_cls: 0.2056 acc: 97.2656 loss_bbox: 0.2569 loss_mask: 0.2207 +2024/01/16 18:38:23 - mmengine - INFO - Epoch(train) [17][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:34:57 time: 0.7894 data_time: 0.0352 memory: 9684 loss: 0.6407 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0353 loss_cls: 0.1617 acc: 84.3750 loss_bbox: 0.2146 loss_mask: 0.2026 +2024/01/16 18:39:04 - mmengine - INFO - Epoch(train) [17][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:34:18 time: 0.8009 data_time: 0.0374 memory: 10568 loss: 0.7559 loss_rpn_cls: 0.0322 loss_rpn_bbox: 0.0495 loss_cls: 0.2062 acc: 86.5234 loss_bbox: 0.2423 loss_mask: 0.2258 +2024/01/16 18:39:43 - mmengine - INFO - Epoch(train) [17][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:33:39 time: 0.7994 data_time: 0.0347 memory: 11023 loss: 0.7564 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0457 loss_cls: 0.1992 acc: 84.7656 loss_bbox: 0.2606 loss_mask: 0.2287 +2024/01/16 18:40:22 - mmengine - INFO - Epoch(train) [17][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:32:58 time: 0.7737 data_time: 0.0318 memory: 10986 loss: 0.5724 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0297 loss_cls: 0.1381 acc: 96.6797 loss_bbox: 0.1881 loss_mask: 0.1979 +2024/01/16 18:41:02 - mmengine - INFO - Epoch(train) [17][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:32:19 time: 0.7938 data_time: 0.0353 memory: 10572 loss: 0.7133 loss_rpn_cls: 0.0385 loss_rpn_bbox: 0.0417 loss_cls: 0.2004 acc: 91.2109 loss_bbox: 0.2317 loss_mask: 0.2010 +2024/01/16 18:41:41 - mmengine - INFO - Epoch(train) [17][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:31:39 time: 0.7897 data_time: 0.0297 memory: 9768 loss: 0.5542 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0239 loss_cls: 0.1403 acc: 97.8516 loss_bbox: 0.1973 loss_mask: 0.1752 +2024/01/16 18:42:21 - mmengine - INFO - Epoch(train) [17][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:30:59 time: 0.7816 data_time: 0.0273 memory: 10067 loss: 0.5655 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0205 loss_cls: 0.1551 acc: 99.4141 loss_bbox: 0.1973 loss_mask: 0.1813 +2024/01/16 18:43:00 - mmengine - INFO - Epoch(train) [17][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:30:19 time: 0.7978 data_time: 0.0339 memory: 9459 loss: 0.6349 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0297 loss_cls: 0.1669 acc: 94.3359 loss_bbox: 0.2157 loss_mask: 0.2021 +2024/01/16 18:43:40 - mmengine - INFO - Epoch(train) [17][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:29:39 time: 0.7888 data_time: 0.0340 memory: 9607 loss: 0.6424 loss_rpn_cls: 0.0325 loss_rpn_bbox: 0.0339 loss_cls: 0.1591 acc: 98.8281 loss_bbox: 0.2064 loss_mask: 0.2104 +2024/01/16 18:44:19 - mmengine - INFO - Epoch(train) [17][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:28:59 time: 0.7849 data_time: 0.0316 memory: 10516 loss: 0.6254 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0317 loss_cls: 0.1725 acc: 99.2188 loss_bbox: 0.2010 loss_mask: 0.1934 +2024/01/16 18:44:59 - mmengine - INFO - Epoch(train) [17][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:28:20 time: 0.7984 data_time: 0.0379 memory: 10583 loss: 0.6664 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0320 loss_cls: 0.1683 acc: 91.6016 loss_bbox: 0.2209 loss_mask: 0.2243 +2024/01/16 18:45:15 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 18:45:39 - mmengine - INFO - Epoch(train) [17][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:27:41 time: 0.8015 data_time: 0.0402 memory: 10281 loss: 0.7015 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0418 loss_cls: 0.1805 acc: 94.1406 loss_bbox: 0.2388 loss_mask: 0.2118 +2024/01/16 18:46:19 - mmengine - INFO - Epoch(train) [17][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:27:01 time: 0.7937 data_time: 0.0332 memory: 10508 loss: 0.6016 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0307 loss_cls: 0.1520 acc: 90.4297 loss_bbox: 0.1964 loss_mask: 0.1997 +2024/01/16 18:46:59 - mmengine - INFO - Epoch(train) [17][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:26:23 time: 0.8115 data_time: 0.0293 memory: 9599 loss: 0.6035 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0289 loss_cls: 0.1532 acc: 84.5703 loss_bbox: 0.1926 loss_mask: 0.2032 +2024/01/16 18:47:40 - mmengine - INFO - Epoch(train) [17][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:25:44 time: 0.8030 data_time: 0.0317 memory: 10377 loss: 0.5692 loss_rpn_cls: 0.0305 loss_rpn_bbox: 0.0316 loss_cls: 0.1467 acc: 85.9375 loss_bbox: 0.1805 loss_mask: 0.1799 +2024/01/16 18:48:19 - mmengine - INFO - Epoch(train) [17][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:25:04 time: 0.7960 data_time: 0.0410 memory: 10572 loss: 0.7196 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0357 loss_cls: 0.2012 acc: 93.1641 loss_bbox: 0.2358 loss_mask: 0.2206 +2024/01/16 18:48:59 - mmengine - INFO - Epoch(train) [17][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:24:24 time: 0.7864 data_time: 0.0318 memory: 10207 loss: 0.5651 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0316 loss_cls: 0.1620 acc: 96.8750 loss_bbox: 0.1849 loss_mask: 0.1657 +2024/01/16 18:49:38 - mmengine - INFO - Epoch(train) [17][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:23:44 time: 0.7773 data_time: 0.0311 memory: 10067 loss: 0.7014 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0370 loss_cls: 0.1872 acc: 99.8047 loss_bbox: 0.2414 loss_mask: 0.2150 +2024/01/16 18:50:18 - mmengine - INFO - Epoch(train) [17][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:23:05 time: 0.8159 data_time: 0.0361 memory: 10572 loss: 0.6487 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0357 loss_cls: 0.1740 acc: 81.2500 loss_bbox: 0.2184 loss_mask: 0.1972 +2024/01/16 18:50:59 - mmengine - INFO - Epoch(train) [17][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:22:26 time: 0.8021 data_time: 0.0318 memory: 9392 loss: 0.6483 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0287 loss_cls: 0.1686 acc: 100.0000 loss_bbox: 0.2213 loss_mask: 0.2064 +2024/01/16 18:51:39 - mmengine - INFO - Epoch(train) [17][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:21:48 time: 0.8104 data_time: 0.0365 memory: 10572 loss: 0.6000 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0350 loss_cls: 0.1467 acc: 88.6719 loss_bbox: 0.2000 loss_mask: 0.2010 +2024/01/16 18:52:18 - mmengine - INFO - Epoch(train) [17][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:21:07 time: 0.7845 data_time: 0.0349 memory: 10397 loss: 0.5684 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0248 loss_cls: 0.1431 acc: 99.8047 loss_bbox: 0.1896 loss_mask: 0.1964 +2024/01/16 18:52:58 - mmengine - INFO - Epoch(train) [17][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:20:27 time: 0.7822 data_time: 0.0367 memory: 10516 loss: 0.7656 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0443 loss_cls: 0.2115 acc: 91.9922 loss_bbox: 0.2556 loss_mask: 0.2279 +2024/01/16 18:53:38 - mmengine - INFO - Epoch(train) [17][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:19:49 time: 0.8130 data_time: 0.0319 memory: 11102 loss: 0.6684 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0296 loss_cls: 0.1829 acc: 93.9453 loss_bbox: 0.2214 loss_mask: 0.2140 +2024/01/16 18:54:18 - mmengine - INFO - Epoch(train) [17][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:19:09 time: 0.7946 data_time: 0.0300 memory: 10067 loss: 0.6140 loss_rpn_cls: 0.0271 loss_rpn_bbox: 0.0330 loss_cls: 0.1690 acc: 91.0156 loss_bbox: 0.1987 loss_mask: 0.1862 +2024/01/16 18:54:58 - mmengine - INFO - Epoch(train) [17][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:18:30 time: 0.7978 data_time: 0.0294 memory: 11027 loss: 0.5659 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0271 loss_cls: 0.1512 acc: 93.1641 loss_bbox: 0.1837 loss_mask: 0.1819 +2024/01/16 18:55:38 - mmengine - INFO - Epoch(train) [17][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:17:50 time: 0.7936 data_time: 0.0302 memory: 9306 loss: 0.6499 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0317 loss_cls: 0.1867 acc: 87.8906 loss_bbox: 0.2161 loss_mask: 0.1963 +2024/01/16 18:56:17 - mmengine - INFO - Epoch(train) [17][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:17:10 time: 0.7815 data_time: 0.0353 memory: 10100 loss: 0.5726 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0347 loss_cls: 0.1487 acc: 100.0000 loss_bbox: 0.1796 loss_mask: 0.1865 +2024/01/16 18:56:56 - mmengine - INFO - Epoch(train) [17][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:16:29 time: 0.7807 data_time: 0.0290 memory: 10780 loss: 0.5313 loss_rpn_cls: 0.0253 loss_rpn_bbox: 0.0227 loss_cls: 0.1226 acc: 99.4141 loss_bbox: 0.1608 loss_mask: 0.1999 +2024/01/16 18:57:36 - mmengine - INFO - Epoch(train) [17][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:15:50 time: 0.7984 data_time: 0.0345 memory: 10636 loss: 0.7049 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0341 loss_cls: 0.1932 acc: 99.8047 loss_bbox: 0.2314 loss_mask: 0.2224 +2024/01/16 18:58:16 - mmengine - INFO - Epoch(train) [17][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:15:11 time: 0.8074 data_time: 0.0401 memory: 10572 loss: 0.6191 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0341 loss_cls: 0.1491 acc: 100.0000 loss_bbox: 0.2091 loss_mask: 0.2100 +2024/01/16 18:58:32 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 18:58:55 - mmengine - INFO - Epoch(train) [17][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:14:31 time: 0.7875 data_time: 0.0348 memory: 9882 loss: 0.6545 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0425 loss_cls: 0.1551 acc: 93.7500 loss_bbox: 0.2088 loss_mask: 0.2248 +2024/01/16 18:59:35 - mmengine - INFO - Epoch(train) [17][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:13:52 time: 0.7985 data_time: 0.0366 memory: 10568 loss: 0.6222 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0324 loss_cls: 0.1569 acc: 97.6562 loss_bbox: 0.2137 loss_mask: 0.2028 +2024/01/16 19:00:16 - mmengine - INFO - Epoch(train) [17][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:13:13 time: 0.8040 data_time: 0.0300 memory: 9303 loss: 0.6056 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0316 loss_cls: 0.1560 acc: 94.9219 loss_bbox: 0.2048 loss_mask: 0.1907 +2024/01/16 19:00:56 - mmengine - INFO - Epoch(train) [17][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:12:34 time: 0.8051 data_time: 0.0311 memory: 10404 loss: 0.5944 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0279 loss_cls: 0.1525 acc: 89.8438 loss_bbox: 0.2105 loss_mask: 0.1885 +2024/01/16 19:01:35 - mmengine - INFO - Epoch(train) [17][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:11:54 time: 0.7869 data_time: 0.0362 memory: 9874 loss: 0.6580 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0300 loss_cls: 0.1804 acc: 94.7266 loss_bbox: 0.2298 loss_mask: 0.1980 +2024/01/16 19:02:16 - mmengine - INFO - Epoch(train) [17][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:11:15 time: 0.8066 data_time: 0.0363 memory: 11118 loss: 0.6529 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0359 loss_cls: 0.1792 acc: 95.8984 loss_bbox: 0.2200 loss_mask: 0.2015 +2024/01/16 19:02:55 - mmengine - INFO - Epoch(train) [17][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:10:35 time: 0.7887 data_time: 0.0328 memory: 9593 loss: 0.6446 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0308 loss_cls: 0.1809 acc: 96.2891 loss_bbox: 0.2058 loss_mask: 0.2083 +2024/01/16 19:03:35 - mmengine - INFO - Epoch(train) [17][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:09:56 time: 0.7970 data_time: 0.0361 memory: 10572 loss: 0.6653 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0374 loss_cls: 0.1758 acc: 98.6328 loss_bbox: 0.2152 loss_mask: 0.2146 +2024/01/16 19:04:14 - mmengine - INFO - Epoch(train) [17][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:09:15 time: 0.7769 data_time: 0.0327 memory: 9736 loss: 0.6451 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0344 loss_cls: 0.1753 acc: 86.1328 loss_bbox: 0.2186 loss_mask: 0.1962 +2024/01/16 19:04:54 - mmengine - INFO - Epoch(train) [17][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:08:36 time: 0.8031 data_time: 0.0338 memory: 10735 loss: 0.6029 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0272 loss_cls: 0.1573 acc: 94.1406 loss_bbox: 0.2054 loss_mask: 0.1887 +2024/01/16 19:05:33 - mmengine - INFO - Epoch(train) [17][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:07:56 time: 0.7849 data_time: 0.0343 memory: 10067 loss: 0.5545 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0292 loss_cls: 0.1386 acc: 96.8750 loss_bbox: 0.1791 loss_mask: 0.1918 +2024/01/16 19:06:13 - mmengine - INFO - Epoch(train) [17][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:07:16 time: 0.7880 data_time: 0.0273 memory: 10572 loss: 0.4972 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0217 loss_cls: 0.1190 acc: 90.0391 loss_bbox: 0.1648 loss_mask: 0.1734 +2024/01/16 19:06:51 - mmengine - INFO - Epoch(train) [17][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:06:35 time: 0.7717 data_time: 0.0348 memory: 10067 loss: 0.6600 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0474 loss_cls: 0.1869 acc: 82.8125 loss_bbox: 0.2204 loss_mask: 0.1860 +2024/01/16 19:07:31 - mmengine - INFO - Epoch(train) [17][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:05:56 time: 0.7986 data_time: 0.0328 memory: 9598 loss: 0.6706 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0320 loss_cls: 0.1772 acc: 84.7656 loss_bbox: 0.2231 loss_mask: 0.2125 +2024/01/16 19:08:11 - mmengine - INFO - Epoch(train) [17][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:05:17 time: 0.7947 data_time: 0.0361 memory: 10067 loss: 0.5819 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0323 loss_cls: 0.1442 acc: 98.4375 loss_bbox: 0.1936 loss_mask: 0.1892 +2024/01/16 19:08:51 - mmengine - INFO - Epoch(train) [17][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:04:37 time: 0.7914 data_time: 0.0301 memory: 10404 loss: 0.5841 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0267 loss_cls: 0.1459 acc: 98.0469 loss_bbox: 0.2017 loss_mask: 0.1966 +2024/01/16 19:09:30 - mmengine - INFO - Epoch(train) [17][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:03:58 time: 0.7982 data_time: 0.0346 memory: 9599 loss: 0.6295 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0288 loss_cls: 0.1677 acc: 98.0469 loss_bbox: 0.2094 loss_mask: 0.2064 +2024/01/16 19:10:10 - mmengine - INFO - Epoch(train) [17][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:03:18 time: 0.7924 data_time: 0.0291 memory: 10174 loss: 0.4719 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0233 loss_cls: 0.1079 acc: 91.4062 loss_bbox: 0.1608 loss_mask: 0.1631 +2024/01/16 19:10:49 - mmengine - INFO - Epoch(train) [17][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:02:38 time: 0.7861 data_time: 0.0303 memory: 9397 loss: 0.5479 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0228 loss_cls: 0.1369 acc: 83.9844 loss_bbox: 0.1760 loss_mask: 0.1924 +2024/01/16 19:11:29 - mmengine - INFO - Epoch(train) [17][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:01:58 time: 0.7960 data_time: 0.0353 memory: 10572 loss: 0.5445 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0274 loss_cls: 0.1325 acc: 84.9609 loss_bbox: 0.1735 loss_mask: 0.1875 +2024/01/16 19:11:45 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 19:12:09 - mmengine - INFO - Epoch(train) [17][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:01:18 time: 0.7879 data_time: 0.0332 memory: 10568 loss: 0.6368 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0325 loss_cls: 0.1740 acc: 87.5000 loss_bbox: 0.2028 loss_mask: 0.2077 +2024/01/16 19:12:48 - mmengine - INFO - Epoch(train) [17][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 7:00:38 time: 0.7837 data_time: 0.0317 memory: 10258 loss: 0.6214 loss_rpn_cls: 0.0318 loss_rpn_bbox: 0.0332 loss_cls: 0.1629 acc: 94.3359 loss_bbox: 0.1919 loss_mask: 0.2016 +2024/01/16 19:13:28 - mmengine - INFO - Epoch(train) [17][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:59:59 time: 0.7985 data_time: 0.0378 memory: 10568 loss: 0.7829 loss_rpn_cls: 0.0287 loss_rpn_bbox: 0.0483 loss_cls: 0.2121 acc: 84.9609 loss_bbox: 0.2615 loss_mask: 0.2321 +2024/01/16 19:14:08 - mmengine - INFO - Epoch(train) [17][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:59:20 time: 0.8013 data_time: 0.0327 memory: 10568 loss: 0.6610 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0343 loss_cls: 0.1705 acc: 99.8047 loss_bbox: 0.2178 loss_mask: 0.2088 +2024/01/16 19:14:47 - mmengine - INFO - Epoch(train) [17][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:58:40 time: 0.7891 data_time: 0.0334 memory: 11099 loss: 0.5983 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0319 loss_cls: 0.1521 acc: 95.8984 loss_bbox: 0.1911 loss_mask: 0.1988 +2024/01/16 19:15:27 - mmengine - INFO - Epoch(train) [17][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:58:00 time: 0.7828 data_time: 0.0311 memory: 10067 loss: 0.5021 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0208 loss_cls: 0.1261 acc: 97.8516 loss_bbox: 0.1673 loss_mask: 0.1733 +2024/01/16 19:16:06 - mmengine - INFO - Epoch(train) [17][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:57:20 time: 0.7851 data_time: 0.0393 memory: 10572 loss: 0.6682 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0409 loss_cls: 0.1654 acc: 91.6016 loss_bbox: 0.2254 loss_mask: 0.2156 +2024/01/16 19:16:45 - mmengine - INFO - Epoch(train) [17][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:56:39 time: 0.7792 data_time: 0.0315 memory: 9949 loss: 0.5706 loss_rpn_cls: 0.0274 loss_rpn_bbox: 0.0283 loss_cls: 0.1481 acc: 85.1562 loss_bbox: 0.1772 loss_mask: 0.1896 +2024/01/16 19:17:24 - mmengine - INFO - Epoch(train) [17][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:55:59 time: 0.7870 data_time: 0.0284 memory: 10207 loss: 0.4803 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0169 loss_cls: 0.1191 acc: 100.0000 loss_bbox: 0.1440 loss_mask: 0.1901 +2024/01/16 19:18:04 - mmengine - INFO - Epoch(train) [17][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:55:20 time: 0.7959 data_time: 0.0357 memory: 10013 loss: 0.6492 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0341 loss_cls: 0.1683 acc: 95.8984 loss_bbox: 0.2078 loss_mask: 0.2161 +2024/01/16 19:18:44 - mmengine - INFO - Epoch(train) [17][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:54:41 time: 0.8009 data_time: 0.0420 memory: 10287 loss: 0.7694 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0401 loss_cls: 0.2129 acc: 96.0938 loss_bbox: 0.2681 loss_mask: 0.2195 +2024/01/16 19:19:24 - mmengine - INFO - Epoch(train) [17][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:54:01 time: 0.7987 data_time: 0.0341 memory: 10834 loss: 0.6565 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0334 loss_cls: 0.1735 acc: 96.2891 loss_bbox: 0.2166 loss_mask: 0.2065 +2024/01/16 19:20:04 - mmengine - INFO - Epoch(train) [17][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:53:22 time: 0.8039 data_time: 0.0319 memory: 9737 loss: 0.5791 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0271 loss_cls: 0.1492 acc: 87.1094 loss_bbox: 0.2057 loss_mask: 0.1818 +2024/01/16 19:20:45 - mmengine - INFO - Epoch(train) [17][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:52:44 time: 0.8123 data_time: 0.0321 memory: 10519 loss: 0.5211 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0229 loss_cls: 0.1349 acc: 89.8438 loss_bbox: 0.1643 loss_mask: 0.1793 +2024/01/16 19:21:24 - mmengine - INFO - Epoch(train) [17][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:52:04 time: 0.7883 data_time: 0.0339 memory: 9420 loss: 0.6612 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0399 loss_cls: 0.1615 acc: 89.6484 loss_bbox: 0.2433 loss_mask: 0.1936 +2024/01/16 19:22:04 - mmengine - INFO - Epoch(train) [17][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:51:24 time: 0.7913 data_time: 0.0319 memory: 10399 loss: 0.6541 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0350 loss_cls: 0.1643 acc: 90.8203 loss_bbox: 0.2219 loss_mask: 0.2080 +2024/01/16 19:22:44 - mmengine - INFO - Epoch(train) [17][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:50:44 time: 0.7942 data_time: 0.0357 memory: 9705 loss: 0.7159 loss_rpn_cls: 0.0336 loss_rpn_bbox: 0.0343 loss_cls: 0.1922 acc: 86.3281 loss_bbox: 0.2416 loss_mask: 0.2143 +2024/01/16 19:23:22 - mmengine - INFO - Epoch(train) [17][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:50:04 time: 0.7782 data_time: 0.0326 memory: 10572 loss: 0.5691 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0270 loss_cls: 0.1428 acc: 87.5000 loss_bbox: 0.1942 loss_mask: 0.1855 +2024/01/16 19:24:03 - mmengine - INFO - Epoch(train) [17][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:49:25 time: 0.8017 data_time: 0.0339 memory: 10875 loss: 0.5679 loss_rpn_cls: 0.0278 loss_rpn_bbox: 0.0318 loss_cls: 0.1432 acc: 94.7266 loss_bbox: 0.1768 loss_mask: 0.1883 +2024/01/16 19:24:42 - mmengine - INFO - Epoch(train) [17][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:48:45 time: 0.7899 data_time: 0.0345 memory: 10267 loss: 0.6018 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0284 loss_cls: 0.1585 acc: 84.1797 loss_bbox: 0.2162 loss_mask: 0.1874 +2024/01/16 19:24:58 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 19:25:23 - mmengine - INFO - Epoch(train) [17][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:48:07 time: 0.8143 data_time: 0.0352 memory: 10572 loss: 0.6309 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0337 loss_cls: 0.1657 acc: 99.8047 loss_bbox: 0.2077 loss_mask: 0.1954 +2024/01/16 19:26:03 - mmengine - INFO - Epoch(train) [17][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:47:27 time: 0.7974 data_time: 0.0279 memory: 9120 loss: 0.5968 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0240 loss_cls: 0.1556 acc: 97.8516 loss_bbox: 0.1993 loss_mask: 0.1999 +2024/01/16 19:26:42 - mmengine - INFO - Epoch(train) [17][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:46:47 time: 0.7919 data_time: 0.0349 memory: 10495 loss: 0.6640 loss_rpn_cls: 0.0343 loss_rpn_bbox: 0.0365 loss_cls: 0.1662 acc: 91.6016 loss_bbox: 0.2120 loss_mask: 0.2148 +2024/01/16 19:27:22 - mmengine - INFO - Epoch(train) [17][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:46:08 time: 0.8012 data_time: 0.0344 memory: 10067 loss: 0.6676 loss_rpn_cls: 0.0285 loss_rpn_bbox: 0.0359 loss_cls: 0.1795 acc: 99.4141 loss_bbox: 0.2212 loss_mask: 0.2025 +2024/01/16 19:28:01 - mmengine - INFO - Epoch(train) [17][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:45:28 time: 0.7804 data_time: 0.0324 memory: 10067 loss: 0.6326 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0304 loss_cls: 0.1690 acc: 86.1328 loss_bbox: 0.2073 loss_mask: 0.2082 +2024/01/16 19:28:41 - mmengine - INFO - Epoch(train) [17][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:44:48 time: 0.7884 data_time: 0.0316 memory: 10067 loss: 0.6478 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0298 loss_cls: 0.1768 acc: 97.6562 loss_bbox: 0.2208 loss_mask: 0.2014 +2024/01/16 19:29:21 - mmengine - INFO - Epoch(train) [17][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:44:09 time: 0.7981 data_time: 0.0324 memory: 10572 loss: 0.5679 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0329 loss_cls: 0.1470 acc: 100.0000 loss_bbox: 0.1811 loss_mask: 0.1881 +2024/01/16 19:30:00 - mmengine - INFO - Epoch(train) [17][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:43:29 time: 0.7926 data_time: 0.0398 memory: 11065 loss: 0.6731 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0339 loss_cls: 0.1721 acc: 100.0000 loss_bbox: 0.2393 loss_mask: 0.2061 +2024/01/16 19:30:40 - mmengine - INFO - Epoch(train) [17][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:42:49 time: 0.7943 data_time: 0.0273 memory: 9827 loss: 0.6017 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0303 loss_cls: 0.1538 acc: 100.0000 loss_bbox: 0.1874 loss_mask: 0.1978 +2024/01/16 19:31:20 - mmengine - INFO - Epoch(train) [17][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:42:10 time: 0.7880 data_time: 0.0309 memory: 9598 loss: 0.6310 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0305 loss_cls: 0.1582 acc: 78.5156 loss_bbox: 0.2080 loss_mask: 0.2073 +2024/01/16 19:31:59 - mmengine - INFO - Epoch(train) [17][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:41:30 time: 0.7917 data_time: 0.0385 memory: 10067 loss: 0.6878 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0364 loss_cls: 0.1873 acc: 89.4531 loss_bbox: 0.2307 loss_mask: 0.2100 +2024/01/16 19:32:40 - mmengine - INFO - Epoch(train) [17][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:40:51 time: 0.8144 data_time: 0.0368 memory: 10986 loss: 0.6789 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0326 loss_cls: 0.1840 acc: 79.1016 loss_bbox: 0.2323 loss_mask: 0.2099 +2024/01/16 19:33:04 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 19:33:04 - mmengine - INFO - Saving checkpoint at 17 epochs +2024/01/16 19:33:18 - mmengine - INFO - Epoch(val) [17][ 50/313] eta: 0:00:55 time: 0.2092 data_time: 0.0488 memory: 9601 +2024/01/16 19:33:28 - mmengine - INFO - Epoch(val) [17][100/313] eta: 0:00:43 time: 0.2027 data_time: 0.0417 memory: 2388 +2024/01/16 19:33:37 - mmengine - INFO - Epoch(val) [17][150/313] eta: 0:00:32 time: 0.1869 data_time: 0.0294 memory: 2431 +2024/01/16 19:33:48 - mmengine - INFO - Epoch(val) [17][200/313] eta: 0:00:22 time: 0.2048 data_time: 0.0436 memory: 2403 +2024/01/16 19:33:56 - mmengine - INFO - Epoch(val) [17][250/313] eta: 0:00:12 time: 0.1733 data_time: 0.0178 memory: 2431 +2024/01/16 19:34:06 - mmengine - INFO - Epoch(val) [17][300/313] eta: 0:00:02 time: 0.1992 data_time: 0.0401 memory: 2403 +2024/01/16 19:34:14 - mmengine - INFO - Evaluating bbox... +2024/01/16 19:34:38 - mmengine - INFO - bbox_mAP_copypaste: 0.467 0.685 0.514 0.296 0.505 0.616 +2024/01/16 19:34:38 - mmengine - INFO - Evaluating segm... +2024/01/16 19:35:04 - mmengine - INFO - segm_mAP_copypaste: 0.419 0.654 0.447 0.223 0.456 0.613 +2024/01/16 19:35:04 - mmengine - INFO - Epoch(val) [17][313/313] coco/bbox_mAP: 0.4670 coco/bbox_mAP_50: 0.6850 coco/bbox_mAP_75: 0.5140 coco/bbox_mAP_s: 0.2960 coco/bbox_mAP_m: 0.5050 coco/bbox_mAP_l: 0.6160 coco/segm_mAP: 0.4190 coco/segm_mAP_50: 0.6540 coco/segm_mAP_75: 0.4470 coco/segm_mAP_s: 0.2230 coco/segm_mAP_m: 0.4560 coco/segm_mAP_l: 0.6130 data_time: 0.0356 time: 0.1943 +2024/01/16 19:35:44 - mmengine - INFO - Epoch(train) [18][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:39:48 time: 0.8052 data_time: 0.0386 memory: 10167 loss: 0.6398 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0341 loss_cls: 0.1582 acc: 98.2422 loss_bbox: 0.2141 loss_mask: 0.2087 +2024/01/16 19:36:24 - mmengine - INFO - Epoch(train) [18][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:39:09 time: 0.7968 data_time: 0.0293 memory: 9600 loss: 0.5125 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0235 loss_cls: 0.1255 acc: 97.4609 loss_bbox: 0.1670 loss_mask: 0.1768 +2024/01/16 19:37:03 - mmengine - INFO - Epoch(train) [18][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:38:28 time: 0.7753 data_time: 0.0321 memory: 11102 loss: 0.5879 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0267 loss_cls: 0.1358 acc: 99.6094 loss_bbox: 0.1971 loss_mask: 0.2088 +2024/01/16 19:37:43 - mmengine - INFO - Epoch(train) [18][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:37:49 time: 0.7884 data_time: 0.0301 memory: 9884 loss: 0.5898 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0255 loss_cls: 0.1362 acc: 98.8281 loss_bbox: 0.1991 loss_mask: 0.2129 +2024/01/16 19:38:22 - mmengine - INFO - Epoch(train) [18][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:37:09 time: 0.7921 data_time: 0.0352 memory: 10058 loss: 0.5635 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0234 loss_cls: 0.1347 acc: 97.8516 loss_bbox: 0.1979 loss_mask: 0.1905 +2024/01/16 19:39:02 - mmengine - INFO - Epoch(train) [18][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:36:29 time: 0.7941 data_time: 0.0361 memory: 9523 loss: 0.6802 loss_rpn_cls: 0.0315 loss_rpn_bbox: 0.0468 loss_cls: 0.1983 acc: 88.0859 loss_bbox: 0.2230 loss_mask: 0.1806 +2024/01/16 19:39:42 - mmengine - INFO - Epoch(train) [18][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:35:50 time: 0.7934 data_time: 0.0321 memory: 11226 loss: 0.5667 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0344 loss_cls: 0.1402 acc: 92.5781 loss_bbox: 0.1851 loss_mask: 0.1911 +2024/01/16 19:40:13 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 19:40:21 - mmengine - INFO - Epoch(train) [18][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:35:10 time: 0.7946 data_time: 0.0341 memory: 9736 loss: 0.6193 loss_rpn_cls: 0.0253 loss_rpn_bbox: 0.0313 loss_cls: 0.1531 acc: 95.8984 loss_bbox: 0.2077 loss_mask: 0.2018 +2024/01/16 19:41:01 - mmengine - INFO - Epoch(train) [18][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:34:30 time: 0.7895 data_time: 0.0307 memory: 10402 loss: 0.5225 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0246 loss_cls: 0.1398 acc: 80.6641 loss_bbox: 0.1707 loss_mask: 0.1734 +2024/01/16 19:41:41 - mmengine - INFO - Epoch(train) [18][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:33:51 time: 0.8053 data_time: 0.0329 memory: 10572 loss: 0.5985 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0332 loss_cls: 0.1533 acc: 93.5547 loss_bbox: 0.1996 loss_mask: 0.1916 +2024/01/16 19:42:21 - mmengine - INFO - Epoch(train) [18][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:33:12 time: 0.7963 data_time: 0.0337 memory: 9897 loss: 0.6711 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0360 loss_cls: 0.1614 acc: 99.4141 loss_bbox: 0.2287 loss_mask: 0.2183 +2024/01/16 19:43:00 - mmengine - INFO - Epoch(train) [18][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:32:32 time: 0.7883 data_time: 0.0305 memory: 10391 loss: 0.5006 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0251 loss_cls: 0.1321 acc: 98.4375 loss_bbox: 0.1683 loss_mask: 0.1625 +2024/01/16 19:43:40 - mmengine - INFO - Epoch(train) [18][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:31:53 time: 0.7981 data_time: 0.0314 memory: 10583 loss: 0.6634 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0322 loss_cls: 0.1776 acc: 98.6328 loss_bbox: 0.2228 loss_mask: 0.2087 +2024/01/16 19:44:20 - mmengine - INFO - Epoch(train) [18][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:31:13 time: 0.7855 data_time: 0.0358 memory: 10067 loss: 0.6680 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0376 loss_cls: 0.1794 acc: 99.8047 loss_bbox: 0.2218 loss_mask: 0.2019 +2024/01/16 19:44:59 - mmengine - INFO - Epoch(train) [18][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:30:33 time: 0.7900 data_time: 0.0339 memory: 10299 loss: 0.5509 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0353 loss_cls: 0.1376 acc: 86.9141 loss_bbox: 0.1783 loss_mask: 0.1819 +2024/01/16 19:45:39 - mmengine - INFO - Epoch(train) [18][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:29:53 time: 0.7904 data_time: 0.0334 memory: 9322 loss: 0.7013 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0404 loss_cls: 0.1880 acc: 86.7188 loss_bbox: 0.2334 loss_mask: 0.2138 +2024/01/16 19:46:19 - mmengine - INFO - Epoch(train) [18][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:29:14 time: 0.7968 data_time: 0.0375 memory: 10364 loss: 0.6868 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0449 loss_cls: 0.1754 acc: 92.7734 loss_bbox: 0.2347 loss_mask: 0.2085 +2024/01/16 19:46:58 - mmengine - INFO - Epoch(train) [18][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:28:34 time: 0.7938 data_time: 0.0304 memory: 9584 loss: 0.5662 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0234 loss_cls: 0.1354 acc: 98.0469 loss_bbox: 0.1705 loss_mask: 0.2235 +2024/01/16 19:47:38 - mmengine - INFO - Epoch(train) [18][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:27:54 time: 0.7925 data_time: 0.0314 memory: 10841 loss: 0.5879 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0265 loss_cls: 0.1572 acc: 99.8047 loss_bbox: 0.2039 loss_mask: 0.1889 +2024/01/16 19:48:18 - mmengine - INFO - Epoch(train) [18][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:27:15 time: 0.7950 data_time: 0.0249 memory: 10067 loss: 0.4965 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0213 loss_cls: 0.1373 acc: 99.2188 loss_bbox: 0.1581 loss_mask: 0.1649 +2024/01/16 19:48:58 - mmengine - INFO - Epoch(train) [18][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:26:36 time: 0.8015 data_time: 0.0330 memory: 9408 loss: 0.7115 loss_rpn_cls: 0.0274 loss_rpn_bbox: 0.0363 loss_cls: 0.1881 acc: 95.5078 loss_bbox: 0.2503 loss_mask: 0.2093 +2024/01/16 19:49:37 - mmengine - INFO - Epoch(train) [18][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:25:56 time: 0.7909 data_time: 0.0328 memory: 10545 loss: 0.5865 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0300 loss_cls: 0.1545 acc: 99.0234 loss_bbox: 0.1920 loss_mask: 0.1895 +2024/01/16 19:50:17 - mmengine - INFO - Epoch(train) [18][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:25:17 time: 0.8018 data_time: 0.0352 memory: 10721 loss: 0.6120 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0315 loss_cls: 0.1655 acc: 87.6953 loss_bbox: 0.1966 loss_mask: 0.2017 +2024/01/16 19:50:57 - mmengine - INFO - Epoch(train) [18][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:24:37 time: 0.7971 data_time: 0.0303 memory: 10715 loss: 0.4691 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0189 loss_cls: 0.1039 acc: 89.6484 loss_bbox: 0.1504 loss_mask: 0.1865 +2024/01/16 19:51:37 - mmengine - INFO - Epoch(train) [18][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:23:58 time: 0.8030 data_time: 0.0314 memory: 9882 loss: 0.5432 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0281 loss_cls: 0.1561 acc: 99.8047 loss_bbox: 0.1756 loss_mask: 0.1659 +2024/01/16 19:52:17 - mmengine - INFO - Epoch(train) [18][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:23:18 time: 0.7914 data_time: 0.0312 memory: 9708 loss: 0.6104 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0329 loss_cls: 0.1579 acc: 94.9219 loss_bbox: 0.2060 loss_mask: 0.1936 +2024/01/16 19:52:57 - mmengine - INFO - Epoch(train) [18][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:22:39 time: 0.7933 data_time: 0.0331 memory: 10572 loss: 0.4820 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0227 loss_cls: 0.1130 acc: 90.8203 loss_bbox: 0.1633 loss_mask: 0.1674 +2024/01/16 19:53:28 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 19:53:36 - mmengine - INFO - Epoch(train) [18][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:21:58 time: 0.7792 data_time: 0.0390 memory: 9601 loss: 0.6447 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0344 loss_cls: 0.1706 acc: 92.9688 loss_bbox: 0.2234 loss_mask: 0.1968 +2024/01/16 19:54:16 - mmengine - INFO - Epoch(train) [18][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:21:19 time: 0.8040 data_time: 0.0310 memory: 10193 loss: 0.5680 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0294 loss_cls: 0.1440 acc: 86.3281 loss_bbox: 0.1907 loss_mask: 0.1905 +2024/01/16 19:54:55 - mmengine - INFO - Epoch(train) [18][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:20:39 time: 0.7891 data_time: 0.0323 memory: 10153 loss: 0.5923 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0273 loss_cls: 0.1570 acc: 97.0703 loss_bbox: 0.2027 loss_mask: 0.1862 +2024/01/16 19:55:35 - mmengine - INFO - Epoch(train) [18][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:20:00 time: 0.7973 data_time: 0.0301 memory: 10612 loss: 0.5777 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0279 loss_cls: 0.1439 acc: 96.0938 loss_bbox: 0.1932 loss_mask: 0.1969 +2024/01/16 19:56:15 - mmengine - INFO - Epoch(train) [18][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:19:20 time: 0.7875 data_time: 0.0335 memory: 10572 loss: 0.6372 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0390 loss_cls: 0.1603 acc: 95.5078 loss_bbox: 0.2168 loss_mask: 0.1955 +2024/01/16 19:56:54 - mmengine - INFO - Epoch(train) [18][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:18:40 time: 0.7792 data_time: 0.0302 memory: 10572 loss: 0.5865 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0313 loss_cls: 0.1476 acc: 84.1797 loss_bbox: 0.1922 loss_mask: 0.1974 +2024/01/16 19:57:34 - mmengine - INFO - Epoch(train) [18][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:18:01 time: 0.8067 data_time: 0.0298 memory: 10715 loss: 0.6822 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0336 loss_cls: 0.1803 acc: 97.6562 loss_bbox: 0.2258 loss_mask: 0.2230 +2024/01/16 19:58:13 - mmengine - INFO - Epoch(train) [18][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:17:21 time: 0.7895 data_time: 0.0338 memory: 10786 loss: 0.5855 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0323 loss_cls: 0.1454 acc: 94.3359 loss_bbox: 0.1921 loss_mask: 0.1920 +2024/01/16 19:58:53 - mmengine - INFO - Epoch(train) [18][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:16:41 time: 0.7919 data_time: 0.0335 memory: 10572 loss: 0.6160 loss_rpn_cls: 0.0285 loss_rpn_bbox: 0.0315 loss_cls: 0.1527 acc: 93.3594 loss_bbox: 0.2033 loss_mask: 0.2000 +2024/01/16 19:59:33 - mmengine - INFO - Epoch(train) [18][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:16:02 time: 0.7928 data_time: 0.0366 memory: 10695 loss: 0.7067 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0345 loss_cls: 0.1737 acc: 98.4375 loss_bbox: 0.2507 loss_mask: 0.2274 +2024/01/16 20:00:12 - mmengine - INFO - Epoch(train) [18][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:15:22 time: 0.7882 data_time: 0.0326 memory: 10067 loss: 0.6002 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0249 loss_cls: 0.1544 acc: 99.2188 loss_bbox: 0.2001 loss_mask: 0.2040 +2024/01/16 20:00:52 - mmengine - INFO - Epoch(train) [18][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:14:43 time: 0.8032 data_time: 0.0338 memory: 11102 loss: 0.5567 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0276 loss_cls: 0.1412 acc: 94.9219 loss_bbox: 0.1714 loss_mask: 0.1924 +2024/01/16 20:01:32 - mmengine - INFO - Epoch(train) [18][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:14:03 time: 0.7926 data_time: 0.0346 memory: 10572 loss: 0.6378 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0398 loss_cls: 0.1766 acc: 75.1953 loss_bbox: 0.1974 loss_mask: 0.1976 +2024/01/16 20:02:12 - mmengine - INFO - Epoch(train) [18][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:13:24 time: 0.8002 data_time: 0.0327 memory: 10145 loss: 0.6353 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0296 loss_cls: 0.1617 acc: 82.2266 loss_bbox: 0.2161 loss_mask: 0.2051 +2024/01/16 20:02:52 - mmengine - INFO - Epoch(train) [18][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:12:44 time: 0.7974 data_time: 0.0352 memory: 9180 loss: 0.6050 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0290 loss_cls: 0.1595 acc: 95.7031 loss_bbox: 0.2052 loss_mask: 0.1944 +2024/01/16 20:03:32 - mmengine - INFO - Epoch(train) [18][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:12:05 time: 0.7910 data_time: 0.0383 memory: 9949 loss: 0.6549 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0321 loss_cls: 0.1991 acc: 99.6094 loss_bbox: 0.1978 loss_mask: 0.2040 +2024/01/16 20:04:12 - mmengine - INFO - Epoch(train) [18][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:11:26 time: 0.8054 data_time: 0.0309 memory: 11356 loss: 0.6521 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0363 loss_cls: 0.1766 acc: 82.8125 loss_bbox: 0.2198 loss_mask: 0.1927 +2024/01/16 20:04:52 - mmengine - INFO - Epoch(train) [18][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:10:46 time: 0.7959 data_time: 0.0329 memory: 10789 loss: 0.6598 loss_rpn_cls: 0.0302 loss_rpn_bbox: 0.0370 loss_cls: 0.1725 acc: 95.7031 loss_bbox: 0.2179 loss_mask: 0.2023 +2024/01/16 20:05:32 - mmengine - INFO - Epoch(train) [18][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:10:07 time: 0.7997 data_time: 0.0303 memory: 10363 loss: 0.5424 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0260 loss_cls: 0.1312 acc: 98.2422 loss_bbox: 0.1862 loss_mask: 0.1799 +2024/01/16 20:06:11 - mmengine - INFO - Epoch(train) [18][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:09:27 time: 0.7917 data_time: 0.0294 memory: 11102 loss: 0.5996 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0318 loss_cls: 0.1613 acc: 99.6094 loss_bbox: 0.1910 loss_mask: 0.1971 +2024/01/16 20:06:43 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 20:06:51 - mmengine - INFO - Epoch(train) [18][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:08:47 time: 0.7876 data_time: 0.0315 memory: 10067 loss: 0.5715 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0266 loss_cls: 0.1622 acc: 98.6328 loss_bbox: 0.1945 loss_mask: 0.1669 +2024/01/16 20:07:31 - mmengine - INFO - Epoch(train) [18][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:08:08 time: 0.8015 data_time: 0.0341 memory: 9570 loss: 0.5918 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0315 loss_cls: 0.1503 acc: 86.9141 loss_bbox: 0.2016 loss_mask: 0.1846 +2024/01/16 20:08:10 - mmengine - INFO - Epoch(train) [18][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:07:28 time: 0.7830 data_time: 0.0336 memory: 10837 loss: 0.5797 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0288 loss_cls: 0.1467 acc: 85.9375 loss_bbox: 0.1850 loss_mask: 0.1970 +2024/01/16 20:08:49 - mmengine - INFO - Epoch(train) [18][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:06:48 time: 0.7811 data_time: 0.0371 memory: 10971 loss: 0.6127 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0294 loss_cls: 0.1589 acc: 87.6953 loss_bbox: 0.2042 loss_mask: 0.2018 +2024/01/16 20:09:29 - mmengine - INFO - Epoch(train) [18][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:06:08 time: 0.7943 data_time: 0.0368 memory: 9253 loss: 0.6643 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0320 loss_cls: 0.1659 acc: 92.1875 loss_bbox: 0.2262 loss_mask: 0.2184 +2024/01/16 20:10:08 - mmengine - INFO - Epoch(train) [18][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:05:28 time: 0.7844 data_time: 0.0366 memory: 10152 loss: 0.6169 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0299 loss_cls: 0.1672 acc: 98.8281 loss_bbox: 0.1928 loss_mask: 0.2082 +2024/01/16 20:10:47 - mmengine - INFO - Epoch(train) [18][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:04:48 time: 0.7842 data_time: 0.0335 memory: 9411 loss: 0.6374 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0323 loss_cls: 0.1633 acc: 83.3984 loss_bbox: 0.2144 loss_mask: 0.2093 +2024/01/16 20:11:28 - mmengine - INFO - Epoch(train) [18][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:04:09 time: 0.8072 data_time: 0.0314 memory: 10582 loss: 0.5375 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0242 loss_cls: 0.1410 acc: 88.4766 loss_bbox: 0.1815 loss_mask: 0.1783 +2024/01/16 20:12:06 - mmengine - INFO - Epoch(train) [18][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:03:28 time: 0.7763 data_time: 0.0378 memory: 10158 loss: 0.7527 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0384 loss_cls: 0.1983 acc: 94.9219 loss_bbox: 0.2569 loss_mask: 0.2296 +2024/01/16 20:12:46 - mmengine - INFO - Epoch(train) [18][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:02:49 time: 0.7962 data_time: 0.0304 memory: 9949 loss: 0.5640 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0222 loss_cls: 0.1411 acc: 84.7656 loss_bbox: 0.1942 loss_mask: 0.1873 +2024/01/16 20:13:26 - mmengine - INFO - Epoch(train) [18][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:02:09 time: 0.7973 data_time: 0.0289 memory: 10067 loss: 0.5616 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0255 loss_cls: 0.1363 acc: 96.8750 loss_bbox: 0.1785 loss_mask: 0.1981 +2024/01/16 20:14:06 - mmengine - INFO - Epoch(train) [18][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:01:30 time: 0.7910 data_time: 0.0295 memory: 10067 loss: 0.5561 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0250 loss_cls: 0.1379 acc: 100.0000 loss_bbox: 0.1768 loss_mask: 0.1986 +2024/01/16 20:14:44 - mmengine - INFO - Epoch(train) [18][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:00:49 time: 0.7746 data_time: 0.0283 memory: 9441 loss: 0.5943 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0304 loss_cls: 0.1579 acc: 96.2891 loss_bbox: 0.1892 loss_mask: 0.1961 +2024/01/16 20:15:24 - mmengine - INFO - Epoch(train) [18][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 6:00:09 time: 0.7844 data_time: 0.0310 memory: 10063 loss: 0.6496 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0316 loss_cls: 0.1611 acc: 92.5781 loss_bbox: 0.2189 loss_mask: 0.2199 +2024/01/16 20:16:03 - mmengine - INFO - Epoch(train) [18][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:59:29 time: 0.7930 data_time: 0.0320 memory: 10568 loss: 0.5771 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0264 loss_cls: 0.1603 acc: 92.9688 loss_bbox: 0.1841 loss_mask: 0.1883 +2024/01/16 20:16:43 - mmengine - INFO - Epoch(train) [18][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:58:50 time: 0.7892 data_time: 0.0366 memory: 9556 loss: 0.6518 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0314 loss_cls: 0.1643 acc: 85.7422 loss_bbox: 0.2226 loss_mask: 0.2068 +2024/01/16 20:17:23 - mmengine - INFO - Epoch(train) [18][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:58:11 time: 0.8069 data_time: 0.0371 memory: 10572 loss: 0.6556 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0343 loss_cls: 0.1695 acc: 87.8906 loss_bbox: 0.2313 loss_mask: 0.2014 +2024/01/16 20:18:03 - mmengine - INFO - Epoch(train) [18][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:57:31 time: 0.8012 data_time: 0.0367 memory: 10449 loss: 0.7685 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0443 loss_cls: 0.1981 acc: 86.1328 loss_bbox: 0.2551 loss_mask: 0.2464 +2024/01/16 20:18:43 - mmengine - INFO - Epoch(train) [18][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:56:52 time: 0.7877 data_time: 0.0304 memory: 10074 loss: 0.5681 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0298 loss_cls: 0.1461 acc: 99.6094 loss_bbox: 0.1784 loss_mask: 0.1964 +2024/01/16 20:19:24 - mmengine - INFO - Epoch(train) [18][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:56:13 time: 0.8201 data_time: 0.0287 memory: 9601 loss: 0.5765 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0267 loss_cls: 0.1529 acc: 90.6250 loss_bbox: 0.1871 loss_mask: 0.1944 +2024/01/16 20:19:56 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 20:20:04 - mmengine - INFO - Epoch(train) [18][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:55:34 time: 0.7977 data_time: 0.0352 memory: 10583 loss: 0.6770 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0406 loss_cls: 0.1775 acc: 98.6328 loss_bbox: 0.2169 loss_mask: 0.2167 +2024/01/16 20:20:44 - mmengine - INFO - Epoch(train) [18][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:54:55 time: 0.8104 data_time: 0.0344 memory: 10572 loss: 0.6965 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0384 loss_cls: 0.1920 acc: 96.2891 loss_bbox: 0.2311 loss_mask: 0.2090 +2024/01/16 20:21:23 - mmengine - INFO - Epoch(train) [18][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:54:15 time: 0.7864 data_time: 0.0344 memory: 8312 loss: 0.6567 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0365 loss_cls: 0.1714 acc: 87.1094 loss_bbox: 0.2188 loss_mask: 0.2074 +2024/01/16 20:22:03 - mmengine - INFO - Epoch(train) [18][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:53:36 time: 0.7973 data_time: 0.0353 memory: 10030 loss: 0.6787 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0411 loss_cls: 0.1826 acc: 99.6094 loss_bbox: 0.2340 loss_mask: 0.1944 +2024/01/16 20:22:42 - mmengine - INFO - Epoch(train) [18][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:52:55 time: 0.7764 data_time: 0.0280 memory: 10572 loss: 0.5517 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0230 loss_cls: 0.1384 acc: 99.6094 loss_bbox: 0.1800 loss_mask: 0.1961 +2024/01/16 20:23:22 - mmengine - INFO - Epoch(train) [18][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:52:16 time: 0.8033 data_time: 0.0313 memory: 11102 loss: 0.5609 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0233 loss_cls: 0.1289 acc: 97.8516 loss_bbox: 0.1759 loss_mask: 0.2141 +2024/01/16 20:24:03 - mmengine - INFO - Epoch(train) [18][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:51:37 time: 0.8095 data_time: 0.0360 memory: 10564 loss: 0.6462 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0281 loss_cls: 0.1618 acc: 99.2188 loss_bbox: 0.2320 loss_mask: 0.2039 +2024/01/16 20:24:42 - mmengine - INFO - Epoch(train) [18][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:50:57 time: 0.7805 data_time: 0.0336 memory: 9120 loss: 0.5328 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0281 loss_cls: 0.1431 acc: 91.9922 loss_bbox: 0.1806 loss_mask: 0.1634 +2024/01/16 20:25:22 - mmengine - INFO - Epoch(train) [18][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:50:17 time: 0.7922 data_time: 0.0345 memory: 9601 loss: 0.5919 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0294 loss_cls: 0.1565 acc: 98.6328 loss_bbox: 0.1975 loss_mask: 0.1895 +2024/01/16 20:26:02 - mmengine - INFO - Epoch(train) [18][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:49:39 time: 0.8074 data_time: 0.0326 memory: 10568 loss: 0.6506 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0281 loss_cls: 0.1744 acc: 93.3594 loss_bbox: 0.2082 loss_mask: 0.2197 +2024/01/16 20:26:42 - mmengine - INFO - Epoch(train) [18][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:48:59 time: 0.7995 data_time: 0.0369 memory: 10568 loss: 0.7184 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0425 loss_cls: 0.1841 acc: 95.1172 loss_bbox: 0.2359 loss_mask: 0.2311 +2024/01/16 20:27:21 - mmengine - INFO - Epoch(train) [18][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:48:19 time: 0.7737 data_time: 0.0307 memory: 8619 loss: 0.6037 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0215 loss_cls: 0.1632 acc: 97.2656 loss_bbox: 0.2062 loss_mask: 0.1973 +2024/01/16 20:28:00 - mmengine - INFO - Epoch(train) [18][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:47:39 time: 0.7959 data_time: 0.0323 memory: 9365 loss: 0.5750 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0266 loss_cls: 0.1525 acc: 99.6094 loss_bbox: 0.1851 loss_mask: 0.1975 +2024/01/16 20:28:40 - mmengine - INFO - Epoch(train) [18][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:46:59 time: 0.7915 data_time: 0.0310 memory: 10568 loss: 0.6462 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0341 loss_cls: 0.1739 acc: 90.6250 loss_bbox: 0.2145 loss_mask: 0.2006 +2024/01/16 20:29:20 - mmengine - INFO - Epoch(train) [18][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:46:20 time: 0.7953 data_time: 0.0365 memory: 10182 loss: 0.7208 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0395 loss_cls: 0.1882 acc: 93.9453 loss_bbox: 0.2545 loss_mask: 0.2187 +2024/01/16 20:29:59 - mmengine - INFO - Epoch(train) [18][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:45:40 time: 0.7900 data_time: 0.0322 memory: 10100 loss: 0.5939 loss_rpn_cls: 0.0250 loss_rpn_bbox: 0.0270 loss_cls: 0.1496 acc: 98.0469 loss_bbox: 0.1954 loss_mask: 0.1969 +2024/01/16 20:30:40 - mmengine - INFO - Epoch(train) [18][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:45:01 time: 0.8048 data_time: 0.0282 memory: 10067 loss: 0.5397 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0198 loss_cls: 0.1441 acc: 97.6562 loss_bbox: 0.1765 loss_mask: 0.1830 +2024/01/16 20:31:20 - mmengine - INFO - Epoch(train) [18][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:44:22 time: 0.8038 data_time: 0.0334 memory: 10895 loss: 0.6347 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0352 loss_cls: 0.1613 acc: 93.3594 loss_bbox: 0.2023 loss_mask: 0.2049 +2024/01/16 20:32:00 - mmengine - INFO - Epoch(train) [18][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:43:43 time: 0.8002 data_time: 0.0354 memory: 10986 loss: 0.6819 loss_rpn_cls: 0.0336 loss_rpn_bbox: 0.0374 loss_cls: 0.1854 acc: 91.7969 loss_bbox: 0.2157 loss_mask: 0.2097 +2024/01/16 20:32:40 - mmengine - INFO - Epoch(train) [18][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:43:03 time: 0.8006 data_time: 0.0277 memory: 11309 loss: 0.5345 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0222 loss_cls: 0.1414 acc: 91.2109 loss_bbox: 0.1679 loss_mask: 0.1870 +2024/01/16 20:33:12 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 20:33:21 - mmengine - INFO - Epoch(train) [18][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:42:25 time: 0.8124 data_time: 0.0370 memory: 10299 loss: 0.6892 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0344 loss_cls: 0.2022 acc: 91.9922 loss_bbox: 0.2266 loss_mask: 0.2042 +2024/01/16 20:34:00 - mmengine - INFO - Epoch(train) [18][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:41:45 time: 0.7907 data_time: 0.0297 memory: 10288 loss: 0.5528 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0257 loss_cls: 0.1428 acc: 89.0625 loss_bbox: 0.1692 loss_mask: 0.1953 +2024/01/16 20:34:39 - mmengine - INFO - Epoch(train) [18][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:41:05 time: 0.7837 data_time: 0.0341 memory: 11099 loss: 0.6272 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0286 loss_cls: 0.1616 acc: 99.8047 loss_bbox: 0.2274 loss_mask: 0.1906 +2024/01/16 20:35:19 - mmengine - INFO - Epoch(train) [18][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:40:25 time: 0.7938 data_time: 0.0346 memory: 10572 loss: 0.5893 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0305 loss_cls: 0.1448 acc: 100.0000 loss_bbox: 0.2001 loss_mask: 0.1957 +2024/01/16 20:35:58 - mmengine - INFO - Epoch(train) [18][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:39:45 time: 0.7734 data_time: 0.0330 memory: 9737 loss: 0.6095 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0260 loss_cls: 0.1638 acc: 96.4844 loss_bbox: 0.2064 loss_mask: 0.1924 +2024/01/16 20:36:38 - mmengine - INFO - Epoch(train) [18][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:39:05 time: 0.7980 data_time: 0.0275 memory: 10583 loss: 0.5361 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0263 loss_cls: 0.1367 acc: 99.0234 loss_bbox: 0.1816 loss_mask: 0.1771 +2024/01/16 20:37:17 - mmengine - INFO - Epoch(train) [18][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:38:25 time: 0.7809 data_time: 0.0360 memory: 10067 loss: 0.6908 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0401 loss_cls: 0.1982 acc: 76.1719 loss_bbox: 0.2328 loss_mask: 0.1889 +2024/01/16 20:37:56 - mmengine - INFO - Epoch(train) [18][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:37:45 time: 0.7924 data_time: 0.0313 memory: 10218 loss: 0.6228 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0299 loss_cls: 0.1628 acc: 85.9375 loss_bbox: 0.2108 loss_mask: 0.1951 +2024/01/16 20:38:37 - mmengine - INFO - Epoch(train) [18][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:37:06 time: 0.8047 data_time: 0.0383 memory: 10572 loss: 0.6774 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0384 loss_cls: 0.1795 acc: 92.1875 loss_bbox: 0.2342 loss_mask: 0.2029 +2024/01/16 20:39:17 - mmengine - INFO - Epoch(train) [18][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:36:27 time: 0.7983 data_time: 0.0305 memory: 11517 loss: 0.5763 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0252 loss_cls: 0.1464 acc: 97.2656 loss_bbox: 0.1867 loss_mask: 0.2020 +2024/01/16 20:39:56 - mmengine - INFO - Epoch(train) [18][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:35:47 time: 0.7825 data_time: 0.0321 memory: 10599 loss: 0.5944 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0285 loss_cls: 0.1423 acc: 98.4375 loss_bbox: 0.2010 loss_mask: 0.2035 +2024/01/16 20:40:35 - mmengine - INFO - Epoch(train) [18][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:35:07 time: 0.7926 data_time: 0.0308 memory: 10235 loss: 0.6306 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0308 loss_cls: 0.1663 acc: 99.0234 loss_bbox: 0.2092 loss_mask: 0.2020 +2024/01/16 20:41:16 - mmengine - INFO - Epoch(train) [18][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:34:28 time: 0.8041 data_time: 0.0328 memory: 10572 loss: 0.5912 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0288 loss_cls: 0.1585 acc: 96.0938 loss_bbox: 0.1952 loss_mask: 0.1827 +2024/01/16 20:41:55 - mmengine - INFO - Epoch(train) [18][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:33:48 time: 0.7871 data_time: 0.0322 memory: 10067 loss: 0.6684 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0398 loss_cls: 0.1768 acc: 98.2422 loss_bbox: 0.2218 loss_mask: 0.2081 +2024/01/16 20:42:35 - mmengine - INFO - Epoch(train) [18][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:33:09 time: 0.7978 data_time: 0.0322 memory: 10250 loss: 0.5935 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0279 loss_cls: 0.1707 acc: 85.1562 loss_bbox: 0.1996 loss_mask: 0.1780 +2024/01/16 20:43:14 - mmengine - INFO - Epoch(train) [18][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:32:29 time: 0.7855 data_time: 0.0337 memory: 9253 loss: 0.6493 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0302 loss_cls: 0.1728 acc: 87.3047 loss_bbox: 0.2133 loss_mask: 0.2095 +2024/01/16 20:43:55 - mmengine - INFO - Epoch(train) [18][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:31:50 time: 0.8100 data_time: 0.0312 memory: 10260 loss: 0.5681 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0293 loss_cls: 0.1296 acc: 98.4375 loss_bbox: 0.1960 loss_mask: 0.1987 +2024/01/16 20:44:34 - mmengine - INFO - Epoch(train) [18][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:31:10 time: 0.7960 data_time: 0.0318 memory: 10067 loss: 0.5414 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0267 loss_cls: 0.1354 acc: 87.1094 loss_bbox: 0.1732 loss_mask: 0.1924 +2024/01/16 20:45:13 - mmengine - INFO - Epoch(train) [18][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:30:30 time: 0.7803 data_time: 0.0381 memory: 9672 loss: 0.6879 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0388 loss_cls: 0.1889 acc: 95.5078 loss_bbox: 0.2403 loss_mask: 0.1997 +2024/01/16 20:45:53 - mmengine - INFO - Epoch(train) [18][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:29:51 time: 0.7976 data_time: 0.0362 memory: 10315 loss: 0.6915 loss_rpn_cls: 0.0343 loss_rpn_bbox: 0.0380 loss_cls: 0.1908 acc: 96.2891 loss_bbox: 0.2127 loss_mask: 0.2156 +2024/01/16 20:46:25 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 20:46:33 - mmengine - INFO - Epoch(train) [18][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:29:11 time: 0.7890 data_time: 0.0293 memory: 10067 loss: 0.6063 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0298 loss_cls: 0.1532 acc: 91.6016 loss_bbox: 0.2072 loss_mask: 0.2002 +2024/01/16 20:47:12 - mmengine - INFO - Epoch(train) [18][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:28:31 time: 0.7812 data_time: 0.0288 memory: 10572 loss: 0.5531 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0252 loss_cls: 0.1492 acc: 98.8281 loss_bbox: 0.1835 loss_mask: 0.1736 +2024/01/16 20:47:52 - mmengine - INFO - Epoch(train) [18][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:27:51 time: 0.7934 data_time: 0.0287 memory: 10787 loss: 0.5728 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0229 loss_cls: 0.1464 acc: 93.5547 loss_bbox: 0.1952 loss_mask: 0.1923 +2024/01/16 20:48:31 - mmengine - INFO - Epoch(train) [18][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:27:11 time: 0.7858 data_time: 0.0344 memory: 9873 loss: 0.6473 loss_rpn_cls: 0.0310 loss_rpn_bbox: 0.0407 loss_cls: 0.1613 acc: 95.7031 loss_bbox: 0.2139 loss_mask: 0.2003 +2024/01/16 20:49:11 - mmengine - INFO - Epoch(train) [18][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:26:32 time: 0.7995 data_time: 0.0342 memory: 10788 loss: 0.6953 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0365 loss_cls: 0.1925 acc: 89.2578 loss_bbox: 0.2410 loss_mask: 0.2004 +2024/01/16 20:49:51 - mmengine - INFO - Epoch(train) [18][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:25:52 time: 0.7967 data_time: 0.0327 memory: 9522 loss: 0.6358 loss_rpn_cls: 0.0342 loss_rpn_bbox: 0.0357 loss_cls: 0.1634 acc: 93.9453 loss_bbox: 0.2079 loss_mask: 0.1947 +2024/01/16 20:50:31 - mmengine - INFO - Epoch(train) [18][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:25:13 time: 0.8015 data_time: 0.0306 memory: 9736 loss: 0.6254 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0293 loss_cls: 0.1668 acc: 99.6094 loss_bbox: 0.2140 loss_mask: 0.1929 +2024/01/16 20:51:10 - mmengine - INFO - Epoch(train) [18][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:24:33 time: 0.7871 data_time: 0.0331 memory: 10101 loss: 0.5438 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0282 loss_cls: 0.1392 acc: 89.6484 loss_bbox: 0.1802 loss_mask: 0.1746 +2024/01/16 20:51:50 - mmengine - INFO - Epoch(train) [18][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:23:53 time: 0.7938 data_time: 0.0266 memory: 9836 loss: 0.6240 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0290 loss_cls: 0.1648 acc: 99.0234 loss_bbox: 0.2037 loss_mask: 0.2098 +2024/01/16 20:52:30 - mmengine - INFO - Epoch(train) [18][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:23:14 time: 0.7909 data_time: 0.0383 memory: 10195 loss: 0.6812 loss_rpn_cls: 0.0303 loss_rpn_bbox: 0.0444 loss_cls: 0.1707 acc: 97.8516 loss_bbox: 0.2322 loss_mask: 0.2037 +2024/01/16 20:53:09 - mmengine - INFO - Epoch(train) [18][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:22:33 time: 0.7789 data_time: 0.0268 memory: 10483 loss: 0.4816 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0203 loss_cls: 0.1198 acc: 92.9688 loss_bbox: 0.1584 loss_mask: 0.1745 +2024/01/16 20:53:48 - mmengine - INFO - Epoch(train) [18][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:21:54 time: 0.7985 data_time: 0.0325 memory: 9736 loss: 0.7263 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0356 loss_cls: 0.2067 acc: 99.0234 loss_bbox: 0.2389 loss_mask: 0.2206 +2024/01/16 20:54:29 - mmengine - INFO - Epoch(train) [18][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:21:15 time: 0.8049 data_time: 0.0459 memory: 10023 loss: 0.8103 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0446 loss_cls: 0.1931 acc: 86.7188 loss_bbox: 0.2886 loss_mask: 0.2620 +2024/01/16 20:55:09 - mmengine - INFO - Epoch(train) [18][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:20:35 time: 0.7969 data_time: 0.0343 memory: 10067 loss: 0.5965 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0286 loss_cls: 0.1511 acc: 83.7891 loss_bbox: 0.2065 loss_mask: 0.1951 +2024/01/16 20:55:48 - mmengine - INFO - Epoch(train) [18][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:19:55 time: 0.7848 data_time: 0.0368 memory: 9237 loss: 0.6577 loss_rpn_cls: 0.0317 loss_rpn_bbox: 0.0343 loss_cls: 0.1701 acc: 99.0234 loss_bbox: 0.2133 loss_mask: 0.2082 +2024/01/16 20:56:28 - mmengine - INFO - Epoch(train) [18][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:19:16 time: 0.8004 data_time: 0.0374 memory: 10568 loss: 0.6320 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0322 loss_cls: 0.1819 acc: 91.9922 loss_bbox: 0.2039 loss_mask: 0.1966 +2024/01/16 20:57:07 - mmengine - INFO - Epoch(train) [18][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:18:36 time: 0.7850 data_time: 0.0331 memory: 10094 loss: 0.6387 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0314 loss_cls: 0.1659 acc: 98.2422 loss_bbox: 0.2138 loss_mask: 0.2036 +2024/01/16 20:57:47 - mmengine - INFO - Epoch(train) [18][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:17:56 time: 0.7951 data_time: 0.0293 memory: 10067 loss: 0.5412 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0303 loss_cls: 0.1329 acc: 91.6016 loss_bbox: 0.1743 loss_mask: 0.1825 +2024/01/16 20:58:27 - mmengine - INFO - Epoch(train) [18][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:17:17 time: 0.7951 data_time: 0.0312 memory: 9666 loss: 0.5657 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0213 loss_cls: 0.1486 acc: 99.0234 loss_bbox: 0.1898 loss_mask: 0.1876 +2024/01/16 20:59:07 - mmengine - INFO - Epoch(train) [18][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:16:37 time: 0.7962 data_time: 0.0315 memory: 10123 loss: 0.6374 loss_rpn_cls: 0.0307 loss_rpn_bbox: 0.0355 loss_cls: 0.1642 acc: 94.3359 loss_bbox: 0.2109 loss_mask: 0.1961 +2024/01/16 20:59:38 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 20:59:46 - mmengine - INFO - Epoch(train) [18][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:15:57 time: 0.7804 data_time: 0.0282 memory: 10370 loss: 0.5602 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0201 loss_cls: 0.1516 acc: 92.9688 loss_bbox: 0.1831 loss_mask: 0.1911 +2024/01/16 21:00:25 - mmengine - INFO - Epoch(train) [18][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:15:18 time: 0.7955 data_time: 0.0281 memory: 11051 loss: 0.4479 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0158 loss_cls: 0.1047 acc: 95.7031 loss_bbox: 0.1510 loss_mask: 0.1641 +2024/01/16 21:01:06 - mmengine - INFO - Epoch(train) [18][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:14:39 time: 0.8061 data_time: 0.0361 memory: 10258 loss: 0.6171 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0242 loss_cls: 0.1581 acc: 96.6797 loss_bbox: 0.2180 loss_mask: 0.1996 +2024/01/16 21:01:45 - mmengine - INFO - Epoch(train) [18][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:13:59 time: 0.7949 data_time: 0.0387 memory: 10572 loss: 0.7124 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0419 loss_cls: 0.1899 acc: 93.5547 loss_bbox: 0.2369 loss_mask: 0.2201 +2024/01/16 21:02:26 - mmengine - INFO - Epoch(train) [18][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:13:20 time: 0.8042 data_time: 0.0350 memory: 10548 loss: 0.6290 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0423 loss_cls: 0.1600 acc: 98.8281 loss_bbox: 0.2097 loss_mask: 0.1945 +2024/01/16 21:03:06 - mmengine - INFO - Epoch(train) [18][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:12:41 time: 0.7994 data_time: 0.0323 memory: 10583 loss: 0.5603 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0254 loss_cls: 0.1491 acc: 92.3828 loss_bbox: 0.1878 loss_mask: 0.1766 +2024/01/16 21:03:46 - mmengine - INFO - Epoch(train) [18][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:12:02 time: 0.8126 data_time: 0.0317 memory: 9800 loss: 0.6480 loss_rpn_cls: 0.0287 loss_rpn_bbox: 0.0364 loss_cls: 0.1714 acc: 99.8047 loss_bbox: 0.2114 loss_mask: 0.2001 +2024/01/16 21:04:27 - mmengine - INFO - Epoch(train) [18][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:11:23 time: 0.8035 data_time: 0.0262 memory: 9459 loss: 0.6065 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0312 loss_cls: 0.1527 acc: 94.3359 loss_bbox: 0.1995 loss_mask: 0.2015 +2024/01/16 21:05:07 - mmengine - INFO - Epoch(train) [18][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:10:44 time: 0.8087 data_time: 0.0285 memory: 10330 loss: 0.6267 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0280 loss_cls: 0.1575 acc: 95.8984 loss_bbox: 0.2087 loss_mask: 0.2142 +2024/01/16 21:05:47 - mmengine - INFO - Epoch(train) [18][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:10:05 time: 0.8050 data_time: 0.0340 memory: 10067 loss: 0.5697 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0305 loss_cls: 0.1334 acc: 98.0469 loss_bbox: 0.1996 loss_mask: 0.1868 +2024/01/16 21:06:26 - mmengine - INFO - Epoch(train) [18][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:09:25 time: 0.7838 data_time: 0.0394 memory: 10048 loss: 0.8508 loss_rpn_cls: 0.0382 loss_rpn_bbox: 0.0474 loss_cls: 0.2352 acc: 90.8203 loss_bbox: 0.3019 loss_mask: 0.2281 +2024/01/16 21:07:06 - mmengine - INFO - Epoch(train) [18][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:08:45 time: 0.7936 data_time: 0.0299 memory: 9392 loss: 0.5444 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0283 loss_cls: 0.1488 acc: 91.7969 loss_bbox: 0.1722 loss_mask: 0.1759 +2024/01/16 21:07:46 - mmengine - INFO - Epoch(train) [18][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:08:06 time: 0.7911 data_time: 0.0342 memory: 9525 loss: 0.5733 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0285 loss_cls: 0.1431 acc: 83.7891 loss_bbox: 0.1860 loss_mask: 0.1982 +2024/01/16 21:08:26 - mmengine - INFO - Epoch(train) [18][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:07:26 time: 0.7965 data_time: 0.0317 memory: 10583 loss: 0.5964 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0265 loss_cls: 0.1440 acc: 99.8047 loss_bbox: 0.1874 loss_mask: 0.2212 +2024/01/16 21:09:05 - mmengine - INFO - Epoch(train) [18][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:06:47 time: 0.7950 data_time: 0.0306 memory: 10789 loss: 0.6220 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0304 loss_cls: 0.1697 acc: 95.1172 loss_bbox: 0.2099 loss_mask: 0.1909 +2024/01/16 21:09:45 - mmengine - INFO - Epoch(train) [18][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:06:07 time: 0.7956 data_time: 0.0360 memory: 11517 loss: 0.5471 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0295 loss_cls: 0.1363 acc: 92.5781 loss_bbox: 0.1804 loss_mask: 0.1814 +2024/01/16 21:10:25 - mmengine - INFO - Epoch(train) [18][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:05:27 time: 0.7938 data_time: 0.0343 memory: 9411 loss: 0.6484 loss_rpn_cls: 0.0299 loss_rpn_bbox: 0.0341 loss_cls: 0.1794 acc: 86.9141 loss_bbox: 0.2091 loss_mask: 0.1960 +2024/01/16 21:11:05 - mmengine - INFO - Epoch(train) [18][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:04:48 time: 0.8031 data_time: 0.0295 memory: 10361 loss: 0.6171 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0277 loss_cls: 0.1601 acc: 84.9609 loss_bbox: 0.2030 loss_mask: 0.2019 +2024/01/16 21:11:45 - mmengine - INFO - Epoch(train) [18][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:04:09 time: 0.7940 data_time: 0.0358 memory: 10679 loss: 0.5613 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0249 loss_cls: 0.1456 acc: 88.6719 loss_bbox: 0.1836 loss_mask: 0.1891 +2024/01/16 21:12:09 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 21:12:09 - mmengine - INFO - Saving checkpoint at 18 epochs +2024/01/16 21:12:25 - mmengine - INFO - Epoch(val) [18][ 50/313] eta: 0:01:00 time: 0.2313 data_time: 0.0709 memory: 10572 +2024/01/16 21:12:34 - mmengine - INFO - Epoch(val) [18][100/313] eta: 0:00:45 time: 0.1913 data_time: 0.0309 memory: 2388 +2024/01/16 21:12:44 - mmengine - INFO - Epoch(val) [18][150/313] eta: 0:00:33 time: 0.1935 data_time: 0.0357 memory: 2431 +2024/01/16 21:12:53 - mmengine - INFO - Epoch(val) [18][200/313] eta: 0:00:22 time: 0.1887 data_time: 0.0279 memory: 2403 +2024/01/16 21:13:02 - mmengine - INFO - Epoch(val) [18][250/313] eta: 0:00:12 time: 0.1734 data_time: 0.0174 memory: 2431 +2024/01/16 21:13:12 - mmengine - INFO - Epoch(val) [18][300/313] eta: 0:00:02 time: 0.1949 data_time: 0.0349 memory: 2403 +2024/01/16 21:13:20 - mmengine - INFO - Evaluating bbox... +2024/01/16 21:13:43 - mmengine - INFO - bbox_mAP_copypaste: 0.469 0.687 0.515 0.295 0.514 0.611 +2024/01/16 21:13:43 - mmengine - INFO - Evaluating segm... +2024/01/16 21:14:11 - mmengine - INFO - segm_mAP_copypaste: 0.415 0.652 0.446 0.215 0.452 0.594 +2024/01/16 21:14:12 - mmengine - INFO - Epoch(val) [18][313/313] coco/bbox_mAP: 0.4690 coco/bbox_mAP_50: 0.6870 coco/bbox_mAP_75: 0.5150 coco/bbox_mAP_s: 0.2950 coco/bbox_mAP_m: 0.5140 coco/bbox_mAP_l: 0.6110 coco/segm_mAP: 0.4150 coco/segm_mAP_50: 0.6520 coco/segm_mAP_75: 0.4460 coco/segm_mAP_s: 0.2150 coco/segm_mAP_m: 0.4520 coco/segm_mAP_l: 0.5940 data_time: 0.0350 time: 0.1940 +2024/01/16 21:14:53 - mmengine - INFO - Epoch(train) [19][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:03:07 time: 0.8133 data_time: 0.0371 memory: 9601 loss: 0.6281 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0279 loss_cls: 0.1515 acc: 90.6250 loss_bbox: 0.2063 loss_mask: 0.2233 +2024/01/16 21:15:01 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 21:15:32 - mmengine - INFO - Epoch(train) [19][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:02:27 time: 0.7836 data_time: 0.0356 memory: 10583 loss: 0.6130 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0329 loss_cls: 0.1578 acc: 88.8672 loss_bbox: 0.1926 loss_mask: 0.2033 +2024/01/16 21:16:12 - mmengine - INFO - Epoch(train) [19][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:01:47 time: 0.7957 data_time: 0.0353 memory: 10101 loss: 0.6362 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0325 loss_cls: 0.1603 acc: 94.3359 loss_bbox: 0.2255 loss_mask: 0.1992 +2024/01/16 21:16:51 - mmengine - INFO - Epoch(train) [19][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:01:07 time: 0.7828 data_time: 0.0260 memory: 11228 loss: 0.4885 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0220 loss_cls: 0.1367 acc: 95.1172 loss_bbox: 0.1562 loss_mask: 0.1593 +2024/01/16 21:17:30 - mmengine - INFO - Epoch(train) [19][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 5:00:27 time: 0.7855 data_time: 0.0296 memory: 10133 loss: 0.5478 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0257 loss_cls: 0.1345 acc: 92.1875 loss_bbox: 0.1845 loss_mask: 0.1831 +2024/01/16 21:18:10 - mmengine - INFO - Epoch(train) [19][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:59:47 time: 0.7855 data_time: 0.0315 memory: 10466 loss: 0.5906 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0284 loss_cls: 0.1546 acc: 98.8281 loss_bbox: 0.1972 loss_mask: 0.1946 +2024/01/16 21:18:50 - mmengine - INFO - Epoch(train) [19][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:59:08 time: 0.7996 data_time: 0.0327 memory: 10493 loss: 0.6212 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0333 loss_cls: 0.1646 acc: 80.2734 loss_bbox: 0.2070 loss_mask: 0.1989 +2024/01/16 21:19:30 - mmengine - INFO - Epoch(train) [19][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:58:28 time: 0.7953 data_time: 0.0304 memory: 10583 loss: 0.5796 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0267 loss_cls: 0.1453 acc: 99.6094 loss_bbox: 0.1976 loss_mask: 0.1926 +2024/01/16 21:20:09 - mmengine - INFO - Epoch(train) [19][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:57:49 time: 0.7932 data_time: 0.0390 memory: 10840 loss: 0.7081 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0371 loss_cls: 0.1885 acc: 99.2188 loss_bbox: 0.2301 loss_mask: 0.2289 +2024/01/16 21:20:49 - mmengine - INFO - Epoch(train) [19][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:57:09 time: 0.7857 data_time: 0.0445 memory: 10295 loss: 0.5822 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0345 loss_cls: 0.1523 acc: 91.9922 loss_bbox: 0.1988 loss_mask: 0.1779 +2024/01/16 21:21:28 - mmengine - INFO - Epoch(train) [19][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:56:29 time: 0.7981 data_time: 0.0343 memory: 9947 loss: 0.5576 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0247 loss_cls: 0.1481 acc: 91.9922 loss_bbox: 0.1762 loss_mask: 0.1936 +2024/01/16 21:22:09 - mmengine - INFO - Epoch(train) [19][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:55:51 time: 0.8135 data_time: 0.0358 memory: 10572 loss: 0.6343 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0310 loss_cls: 0.1665 acc: 86.7188 loss_bbox: 0.2056 loss_mask: 0.2091 +2024/01/16 21:22:50 - mmengine - INFO - Epoch(train) [19][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:55:12 time: 0.8084 data_time: 0.0371 memory: 10232 loss: 0.7144 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0434 loss_cls: 0.1870 acc: 89.6484 loss_bbox: 0.2472 loss_mask: 0.2167 +2024/01/16 21:23:29 - mmengine - INFO - Epoch(train) [19][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:54:32 time: 0.7909 data_time: 0.0334 memory: 10572 loss: 0.6379 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0346 loss_cls: 0.1652 acc: 92.3828 loss_bbox: 0.2053 loss_mask: 0.2104 +2024/01/16 21:24:09 - mmengine - INFO - Epoch(train) [19][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:53:53 time: 0.8001 data_time: 0.0345 memory: 10572 loss: 0.6147 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0285 loss_cls: 0.1588 acc: 90.6250 loss_bbox: 0.2080 loss_mask: 0.2007 +2024/01/16 21:24:48 - mmengine - INFO - Epoch(train) [19][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:53:12 time: 0.7708 data_time: 0.0291 memory: 10436 loss: 0.5085 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0262 loss_cls: 0.1214 acc: 96.4844 loss_bbox: 0.1668 loss_mask: 0.1822 +2024/01/16 21:25:28 - mmengine - INFO - Epoch(train) [19][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:52:33 time: 0.8107 data_time: 0.0353 memory: 9737 loss: 0.6991 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0383 loss_cls: 0.1796 acc: 98.6328 loss_bbox: 0.2328 loss_mask: 0.2205 +2024/01/16 21:26:08 - mmengine - INFO - Epoch(train) [19][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:51:54 time: 0.7945 data_time: 0.0356 memory: 11313 loss: 0.6217 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0341 loss_cls: 0.1560 acc: 87.8906 loss_bbox: 0.2000 loss_mask: 0.2060 +2024/01/16 21:26:49 - mmengine - INFO - Epoch(train) [19][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:51:15 time: 0.8147 data_time: 0.0365 memory: 10063 loss: 0.6532 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0355 loss_cls: 0.1657 acc: 98.6328 loss_bbox: 0.2297 loss_mask: 0.1988 +2024/01/16 21:27:28 - mmengine - INFO - Epoch(train) [19][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:50:35 time: 0.7781 data_time: 0.0338 memory: 9882 loss: 0.7083 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0374 loss_cls: 0.2001 acc: 92.9688 loss_bbox: 0.2490 loss_mask: 0.2034 +2024/01/16 21:28:07 - mmengine - INFO - Epoch(train) [19][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:49:55 time: 0.7900 data_time: 0.0357 memory: 10572 loss: 0.6078 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0371 loss_cls: 0.1546 acc: 95.7031 loss_bbox: 0.2018 loss_mask: 0.1904 +2024/01/16 21:28:16 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 21:28:48 - mmengine - INFO - Epoch(train) [19][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:49:16 time: 0.8065 data_time: 0.0405 memory: 10583 loss: 0.6731 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0419 loss_cls: 0.1702 acc: 98.0469 loss_bbox: 0.2193 loss_mask: 0.2189 +2024/01/16 21:29:27 - mmengine - INFO - Epoch(train) [19][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:48:36 time: 0.7919 data_time: 0.0309 memory: 10986 loss: 0.5943 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0247 loss_cls: 0.1576 acc: 90.2344 loss_bbox: 0.1923 loss_mask: 0.2015 +2024/01/16 21:30:07 - mmengine - INFO - Epoch(train) [19][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:47:56 time: 0.7892 data_time: 0.0306 memory: 10568 loss: 0.5800 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0245 loss_cls: 0.1519 acc: 82.0312 loss_bbox: 0.2028 loss_mask: 0.1865 +2024/01/16 21:30:46 - mmengine - INFO - Epoch(train) [19][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:47:16 time: 0.7853 data_time: 0.0390 memory: 10660 loss: 0.6525 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0329 loss_cls: 0.1704 acc: 94.7266 loss_bbox: 0.2193 loss_mask: 0.2070 +2024/01/16 21:31:26 - mmengine - INFO - Epoch(train) [19][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:46:37 time: 0.7939 data_time: 0.0320 memory: 9601 loss: 0.6445 loss_rpn_cls: 0.0285 loss_rpn_bbox: 0.0306 loss_cls: 0.1824 acc: 98.2422 loss_bbox: 0.2088 loss_mask: 0.1943 +2024/01/16 21:32:05 - mmengine - INFO - Epoch(train) [19][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:45:57 time: 0.7841 data_time: 0.0392 memory: 10067 loss: 0.7633 loss_rpn_cls: 0.0289 loss_rpn_bbox: 0.0448 loss_cls: 0.2104 acc: 96.4844 loss_bbox: 0.2514 loss_mask: 0.2278 +2024/01/16 21:32:45 - mmengine - INFO - Epoch(train) [19][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:45:17 time: 0.7924 data_time: 0.0341 memory: 10715 loss: 0.6090 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0317 loss_cls: 0.1495 acc: 90.6250 loss_bbox: 0.1998 loss_mask: 0.2088 +2024/01/16 21:33:24 - mmengine - INFO - Epoch(train) [19][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:44:37 time: 0.7916 data_time: 0.0297 memory: 10508 loss: 0.5166 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0198 loss_cls: 0.1172 acc: 98.8281 loss_bbox: 0.1684 loss_mask: 0.2013 +2024/01/16 21:34:04 - mmengine - INFO - Epoch(train) [19][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:43:57 time: 0.7914 data_time: 0.0300 memory: 10572 loss: 0.5172 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0258 loss_cls: 0.1323 acc: 98.2422 loss_bbox: 0.1683 loss_mask: 0.1787 +2024/01/16 21:34:44 - mmengine - INFO - Epoch(train) [19][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:43:18 time: 0.8062 data_time: 0.0297 memory: 10572 loss: 0.6180 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0335 loss_cls: 0.1627 acc: 100.0000 loss_bbox: 0.2021 loss_mask: 0.1930 +2024/01/16 21:35:24 - mmengine - INFO - Epoch(train) [19][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:42:39 time: 0.8001 data_time: 0.0337 memory: 10986 loss: 0.4969 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0251 loss_cls: 0.1212 acc: 95.1172 loss_bbox: 0.1585 loss_mask: 0.1731 +2024/01/16 21:36:03 - mmengine - INFO - Epoch(train) [19][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:41:59 time: 0.7860 data_time: 0.0266 memory: 10568 loss: 0.6291 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0302 loss_cls: 0.1651 acc: 100.0000 loss_bbox: 0.2146 loss_mask: 0.1928 +2024/01/16 21:36:43 - mmengine - INFO - Epoch(train) [19][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:41:20 time: 0.8005 data_time: 0.0339 memory: 10067 loss: 0.5547 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0257 loss_cls: 0.1382 acc: 99.4141 loss_bbox: 0.1864 loss_mask: 0.1882 +2024/01/16 21:37:23 - mmengine - INFO - Epoch(train) [19][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:40:40 time: 0.7861 data_time: 0.0270 memory: 10568 loss: 0.5374 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0209 loss_cls: 0.1320 acc: 91.7969 loss_bbox: 0.1776 loss_mask: 0.1933 +2024/01/16 21:38:02 - mmengine - INFO - Epoch(train) [19][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:40:00 time: 0.7897 data_time: 0.0368 memory: 10572 loss: 0.6352 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0317 loss_cls: 0.1785 acc: 81.0547 loss_bbox: 0.2140 loss_mask: 0.1899 +2024/01/16 21:38:42 - mmengine - INFO - Epoch(train) [19][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:39:20 time: 0.7935 data_time: 0.0322 memory: 10787 loss: 0.5421 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0260 loss_cls: 0.1375 acc: 83.5938 loss_bbox: 0.1852 loss_mask: 0.1769 +2024/01/16 21:39:22 - mmengine - INFO - Epoch(train) [19][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:38:41 time: 0.7915 data_time: 0.0336 memory: 10572 loss: 0.6420 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0350 loss_cls: 0.1726 acc: 96.0938 loss_bbox: 0.2002 loss_mask: 0.2077 +2024/01/16 21:40:01 - mmengine - INFO - Epoch(train) [19][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:38:01 time: 0.7969 data_time: 0.0334 memory: 10568 loss: 0.5379 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0277 loss_cls: 0.1338 acc: 95.3125 loss_bbox: 0.1696 loss_mask: 0.1918 +2024/01/16 21:40:41 - mmengine - INFO - Epoch(train) [19][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:37:22 time: 0.7960 data_time: 0.0319 memory: 10139 loss: 0.5593 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0215 loss_cls: 0.1438 acc: 83.2031 loss_bbox: 0.1982 loss_mask: 0.1836 +2024/01/16 21:41:20 - mmengine - INFO - Epoch(train) [19][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:36:41 time: 0.7732 data_time: 0.0372 memory: 10572 loss: 0.6998 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0364 loss_cls: 0.1808 acc: 95.5078 loss_bbox: 0.2302 loss_mask: 0.2234 +2024/01/16 21:41:28 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 21:42:00 - mmengine - INFO - Epoch(train) [19][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:36:02 time: 0.8018 data_time: 0.0305 memory: 10782 loss: 0.5486 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0236 loss_cls: 0.1376 acc: 99.0234 loss_bbox: 0.1855 loss_mask: 0.1832 +2024/01/16 21:42:40 - mmengine - INFO - Epoch(train) [19][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:35:22 time: 0.7950 data_time: 0.0281 memory: 10841 loss: 0.5376 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0250 loss_cls: 0.1363 acc: 90.8203 loss_bbox: 0.1794 loss_mask: 0.1825 +2024/01/16 21:43:20 - mmengine - INFO - Epoch(train) [19][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:34:43 time: 0.8018 data_time: 0.0315 memory: 10572 loss: 0.5028 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0232 loss_cls: 0.1258 acc: 99.4141 loss_bbox: 0.1578 loss_mask: 0.1752 +2024/01/16 21:44:01 - mmengine - INFO - Epoch(train) [19][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:34:04 time: 0.8131 data_time: 0.0363 memory: 11313 loss: 0.6781 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0387 loss_cls: 0.1727 acc: 100.0000 loss_bbox: 0.2224 loss_mask: 0.2179 +2024/01/16 21:44:40 - mmengine - INFO - Epoch(train) [19][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:33:25 time: 0.7878 data_time: 0.0329 memory: 9599 loss: 0.6860 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0358 loss_cls: 0.1776 acc: 99.4141 loss_bbox: 0.2336 loss_mask: 0.2143 +2024/01/16 21:45:20 - mmengine - INFO - Epoch(train) [19][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:32:45 time: 0.7897 data_time: 0.0337 memory: 11102 loss: 0.6029 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0280 loss_cls: 0.1553 acc: 98.4375 loss_bbox: 0.2003 loss_mask: 0.2009 +2024/01/16 21:45:59 - mmengine - INFO - Epoch(train) [19][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:32:05 time: 0.7929 data_time: 0.0331 memory: 9459 loss: 0.6028 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0316 loss_cls: 0.1606 acc: 99.4141 loss_bbox: 0.1974 loss_mask: 0.1926 +2024/01/16 21:46:39 - mmengine - INFO - Epoch(train) [19][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:31:26 time: 0.7971 data_time: 0.0284 memory: 10067 loss: 0.5383 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0237 loss_cls: 0.1369 acc: 91.2109 loss_bbox: 0.1697 loss_mask: 0.1893 +2024/01/16 21:47:19 - mmengine - INFO - Epoch(train) [19][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:30:46 time: 0.7930 data_time: 0.0303 memory: 10568 loss: 0.5856 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0268 loss_cls: 0.1541 acc: 99.4141 loss_bbox: 0.1924 loss_mask: 0.1975 +2024/01/16 21:47:59 - mmengine - INFO - Epoch(train) [19][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:30:06 time: 0.7952 data_time: 0.0284 memory: 9884 loss: 0.5708 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0277 loss_cls: 0.1365 acc: 99.4141 loss_bbox: 0.1880 loss_mask: 0.2023 +2024/01/16 21:48:39 - mmengine - INFO - Epoch(train) [19][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:29:27 time: 0.8026 data_time: 0.0291 memory: 10583 loss: 0.4983 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0221 loss_cls: 0.1168 acc: 94.1406 loss_bbox: 0.1585 loss_mask: 0.1806 +2024/01/16 21:49:18 - mmengine - INFO - Epoch(train) [19][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:28:47 time: 0.7892 data_time: 0.0341 memory: 9601 loss: 0.5950 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0242 loss_cls: 0.1525 acc: 84.5703 loss_bbox: 0.2062 loss_mask: 0.1972 +2024/01/16 21:49:57 - mmengine - INFO - Epoch(train) [19][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:28:07 time: 0.7849 data_time: 0.0326 memory: 10786 loss: 0.5819 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0275 loss_cls: 0.1540 acc: 97.4609 loss_bbox: 0.1965 loss_mask: 0.1823 +2024/01/16 21:50:37 - mmengine - INFO - Epoch(train) [19][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:27:27 time: 0.7865 data_time: 0.0339 memory: 10268 loss: 0.5819 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0291 loss_cls: 0.1538 acc: 94.5312 loss_bbox: 0.1852 loss_mask: 0.2006 +2024/01/16 21:51:16 - mmengine - INFO - Epoch(train) [19][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:26:47 time: 0.7789 data_time: 0.0339 memory: 10508 loss: 0.5978 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0345 loss_cls: 0.1571 acc: 99.8047 loss_bbox: 0.2036 loss_mask: 0.1783 +2024/01/16 21:51:55 - mmengine - INFO - Epoch(train) [19][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:26:07 time: 0.7846 data_time: 0.0315 memory: 9573 loss: 0.7137 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0347 loss_cls: 0.1813 acc: 95.3125 loss_bbox: 0.2409 loss_mask: 0.2287 +2024/01/16 21:52:35 - mmengine - INFO - Epoch(train) [19][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:25:28 time: 0.8015 data_time: 0.0307 memory: 11102 loss: 0.6160 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0358 loss_cls: 0.1610 acc: 99.6094 loss_bbox: 0.1983 loss_mask: 0.1959 +2024/01/16 21:53:15 - mmengine - INFO - Epoch(train) [19][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:24:49 time: 0.8019 data_time: 0.0353 memory: 11099 loss: 0.6106 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0365 loss_cls: 0.1606 acc: 90.8203 loss_bbox: 0.1957 loss_mask: 0.1938 +2024/01/16 21:53:55 - mmengine - INFO - Epoch(train) [19][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:24:09 time: 0.7853 data_time: 0.0388 memory: 10286 loss: 0.6306 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0317 loss_cls: 0.1568 acc: 96.8750 loss_bbox: 0.2209 loss_mask: 0.2000 +2024/01/16 21:54:35 - mmengine - INFO - Epoch(train) [19][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:23:29 time: 0.7997 data_time: 0.0273 memory: 9904 loss: 0.5289 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0271 loss_cls: 0.1442 acc: 94.9219 loss_bbox: 0.1727 loss_mask: 0.1680 +2024/01/16 21:54:42 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 21:55:14 - mmengine - INFO - Epoch(train) [19][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:22:49 time: 0.7907 data_time: 0.0364 memory: 9949 loss: 0.5864 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0334 loss_cls: 0.1564 acc: 92.3828 loss_bbox: 0.1903 loss_mask: 0.1867 +2024/01/16 21:55:53 - mmengine - INFO - Epoch(train) [19][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:22:09 time: 0.7834 data_time: 0.0289 memory: 10337 loss: 0.5164 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0214 loss_cls: 0.1293 acc: 98.4375 loss_bbox: 0.1666 loss_mask: 0.1822 +2024/01/16 21:56:33 - mmengine - INFO - Epoch(train) [19][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:21:30 time: 0.7881 data_time: 0.0351 memory: 10067 loss: 0.6898 loss_rpn_cls: 0.0322 loss_rpn_bbox: 0.0407 loss_cls: 0.1794 acc: 93.3594 loss_bbox: 0.2306 loss_mask: 0.2069 +2024/01/16 21:57:13 - mmengine - INFO - Epoch(train) [19][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:20:50 time: 0.7988 data_time: 0.0338 memory: 10568 loss: 0.6456 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0297 loss_cls: 0.1682 acc: 96.6797 loss_bbox: 0.2252 loss_mask: 0.2062 +2024/01/16 21:57:53 - mmengine - INFO - Epoch(train) [19][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:20:11 time: 0.8000 data_time: 0.0307 memory: 10159 loss: 0.5891 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0326 loss_cls: 0.1535 acc: 88.0859 loss_bbox: 0.1897 loss_mask: 0.1919 +2024/01/16 21:58:32 - mmengine - INFO - Epoch(train) [19][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:19:31 time: 0.7839 data_time: 0.0344 memory: 10067 loss: 0.6440 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0283 loss_cls: 0.1470 acc: 97.6562 loss_bbox: 0.2169 loss_mask: 0.2218 +2024/01/16 21:59:11 - mmengine - INFO - Epoch(train) [19][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:18:51 time: 0.7899 data_time: 0.0347 memory: 9702 loss: 0.7253 loss_rpn_cls: 0.0344 loss_rpn_bbox: 0.0368 loss_cls: 0.2037 acc: 84.9609 loss_bbox: 0.2419 loss_mask: 0.2085 +2024/01/16 21:59:51 - mmengine - INFO - Epoch(train) [19][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:18:12 time: 0.7994 data_time: 0.0347 memory: 10067 loss: 0.5841 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0333 loss_cls: 0.1406 acc: 89.2578 loss_bbox: 0.1926 loss_mask: 0.1937 +2024/01/16 22:00:31 - mmengine - INFO - Epoch(train) [19][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:17:31 time: 0.7816 data_time: 0.0366 memory: 10572 loss: 0.6332 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0346 loss_cls: 0.1658 acc: 88.6719 loss_bbox: 0.2196 loss_mask: 0.1878 +2024/01/16 22:01:11 - mmengine - INFO - Epoch(train) [19][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:16:52 time: 0.8068 data_time: 0.0386 memory: 10572 loss: 0.7602 loss_rpn_cls: 0.0315 loss_rpn_bbox: 0.0413 loss_cls: 0.2068 acc: 98.8281 loss_bbox: 0.2583 loss_mask: 0.2222 +2024/01/16 22:01:50 - mmengine - INFO - Epoch(train) [19][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:16:12 time: 0.7865 data_time: 0.0334 memory: 9601 loss: 0.7201 loss_rpn_cls: 0.0274 loss_rpn_bbox: 0.0316 loss_cls: 0.1760 acc: 90.0391 loss_bbox: 0.2519 loss_mask: 0.2332 +2024/01/16 22:02:30 - mmengine - INFO - Epoch(train) [19][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:15:33 time: 0.7956 data_time: 0.0324 memory: 9570 loss: 0.5048 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0292 loss_cls: 0.1249 acc: 83.5938 loss_bbox: 0.1506 loss_mask: 0.1823 +2024/01/16 22:03:11 - mmengine - INFO - Epoch(train) [19][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:14:54 time: 0.8116 data_time: 0.0377 memory: 10334 loss: 0.6726 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0370 loss_cls: 0.1836 acc: 89.8438 loss_bbox: 0.2175 loss_mask: 0.2100 +2024/01/16 22:03:50 - mmengine - INFO - Epoch(train) [19][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:14:14 time: 0.7871 data_time: 0.0356 memory: 10126 loss: 0.7257 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0360 loss_cls: 0.1877 acc: 98.4375 loss_bbox: 0.2571 loss_mask: 0.2280 +2024/01/16 22:04:29 - mmengine - INFO - Epoch(train) [19][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:13:34 time: 0.7782 data_time: 0.0302 memory: 10568 loss: 0.4955 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0200 loss_cls: 0.1293 acc: 100.0000 loss_bbox: 0.1551 loss_mask: 0.1769 +2024/01/16 22:05:08 - mmengine - INFO - Epoch(train) [19][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:12:54 time: 0.7820 data_time: 0.0331 memory: 10516 loss: 0.5621 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0251 loss_cls: 0.1415 acc: 100.0000 loss_bbox: 0.1984 loss_mask: 0.1799 +2024/01/16 22:05:48 - mmengine - INFO - Epoch(train) [19][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:12:14 time: 0.7995 data_time: 0.0335 memory: 10060 loss: 0.5613 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0296 loss_cls: 0.1486 acc: 99.2188 loss_bbox: 0.1790 loss_mask: 0.1759 +2024/01/16 22:06:29 - mmengine - INFO - Epoch(train) [19][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:11:36 time: 0.8111 data_time: 0.0420 memory: 10067 loss: 0.6428 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0360 loss_cls: 0.1712 acc: 87.6953 loss_bbox: 0.2271 loss_mask: 0.1923 +2024/01/16 22:07:08 - mmengine - INFO - Epoch(train) [19][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:10:56 time: 0.7918 data_time: 0.0391 memory: 10288 loss: 0.7080 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0334 loss_cls: 0.1833 acc: 89.0625 loss_bbox: 0.2471 loss_mask: 0.2223 +2024/01/16 22:07:48 - mmengine - INFO - Epoch(train) [19][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:10:16 time: 0.7974 data_time: 0.0281 memory: 10470 loss: 0.5487 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0277 loss_cls: 0.1343 acc: 99.2188 loss_bbox: 0.1794 loss_mask: 0.1859 +2024/01/16 22:07:56 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 22:08:28 - mmengine - INFO - Epoch(train) [19][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:09:37 time: 0.7959 data_time: 0.0338 memory: 9543 loss: 0.6092 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0299 loss_cls: 0.1485 acc: 96.2891 loss_bbox: 0.2056 loss_mask: 0.2080 +2024/01/16 22:09:07 - mmengine - INFO - Epoch(train) [19][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:08:56 time: 0.7774 data_time: 0.0285 memory: 10067 loss: 0.5540 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0277 loss_cls: 0.1526 acc: 99.0234 loss_bbox: 0.1884 loss_mask: 0.1707 +2024/01/16 22:09:46 - mmengine - INFO - Epoch(train) [19][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:08:17 time: 0.7878 data_time: 0.0313 memory: 9601 loss: 0.6406 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0342 loss_cls: 0.1556 acc: 86.5234 loss_bbox: 0.2162 loss_mask: 0.2067 +2024/01/16 22:10:26 - mmengine - INFO - Epoch(train) [19][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:07:37 time: 0.7976 data_time: 0.0333 memory: 10968 loss: 0.5568 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0278 loss_cls: 0.1407 acc: 91.4062 loss_bbox: 0.1949 loss_mask: 0.1749 +2024/01/16 22:11:06 - mmengine - INFO - Epoch(train) [19][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:06:58 time: 0.7975 data_time: 0.0367 memory: 10067 loss: 0.7400 loss_rpn_cls: 0.0342 loss_rpn_bbox: 0.0418 loss_cls: 0.2067 acc: 99.6094 loss_bbox: 0.2424 loss_mask: 0.2149 +2024/01/16 22:11:46 - mmengine - INFO - Epoch(train) [19][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:06:18 time: 0.7955 data_time: 0.0359 memory: 10344 loss: 0.6434 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0259 loss_cls: 0.1654 acc: 99.4141 loss_bbox: 0.2213 loss_mask: 0.2090 +2024/01/16 22:12:26 - mmengine - INFO - Epoch(train) [19][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:05:39 time: 0.7985 data_time: 0.0306 memory: 10568 loss: 0.5897 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0283 loss_cls: 0.1559 acc: 97.8516 loss_bbox: 0.1948 loss_mask: 0.1885 +2024/01/16 22:13:06 - mmengine - INFO - Epoch(train) [19][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:05:00 time: 0.8073 data_time: 0.0337 memory: 10572 loss: 0.6260 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0349 loss_cls: 0.1626 acc: 88.6719 loss_bbox: 0.2117 loss_mask: 0.1911 +2024/01/16 22:13:46 - mmengine - INFO - Epoch(train) [19][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:04:20 time: 0.7893 data_time: 0.0320 memory: 9253 loss: 0.6858 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0309 loss_cls: 0.1918 acc: 92.3828 loss_bbox: 0.2284 loss_mask: 0.2114 +2024/01/16 22:14:25 - mmengine - INFO - Epoch(train) [19][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:03:40 time: 0.7846 data_time: 0.0305 memory: 10568 loss: 0.5429 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0270 loss_cls: 0.1282 acc: 99.4141 loss_bbox: 0.1816 loss_mask: 0.1891 +2024/01/16 22:15:04 - mmengine - INFO - Epoch(train) [19][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:03:00 time: 0.7914 data_time: 0.0314 memory: 10067 loss: 0.5961 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0287 loss_cls: 0.1619 acc: 95.7031 loss_bbox: 0.1958 loss_mask: 0.1849 +2024/01/16 22:15:44 - mmengine - INFO - Epoch(train) [19][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:02:20 time: 0.7882 data_time: 0.0376 memory: 10572 loss: 0.6628 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0381 loss_cls: 0.1695 acc: 97.2656 loss_bbox: 0.2234 loss_mask: 0.2052 +2024/01/16 22:16:23 - mmengine - INFO - Epoch(train) [19][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:01:41 time: 0.7900 data_time: 0.0347 memory: 10715 loss: 0.5586 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0337 loss_cls: 0.1322 acc: 100.0000 loss_bbox: 0.1822 loss_mask: 0.1850 +2024/01/16 22:17:03 - mmengine - INFO - Epoch(train) [19][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:01:01 time: 0.7942 data_time: 0.0340 memory: 10087 loss: 0.6024 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0336 loss_cls: 0.1531 acc: 99.0234 loss_bbox: 0.1925 loss_mask: 0.1974 +2024/01/16 22:17:42 - mmengine - INFO - Epoch(train) [19][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 4:00:20 time: 0.7709 data_time: 0.0351 memory: 10271 loss: 0.6086 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0311 loss_cls: 0.1596 acc: 91.9922 loss_bbox: 0.1973 loss_mask: 0.1945 +2024/01/16 22:18:21 - mmengine - INFO - Epoch(train) [19][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:59:41 time: 0.7948 data_time: 0.0312 memory: 11099 loss: 0.5481 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0237 loss_cls: 0.1364 acc: 96.4844 loss_bbox: 0.1871 loss_mask: 0.1833 +2024/01/16 22:19:02 - mmengine - INFO - Epoch(train) [19][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:59:01 time: 0.8014 data_time: 0.0336 memory: 9592 loss: 0.5336 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0251 loss_cls: 0.1405 acc: 92.5781 loss_bbox: 0.1842 loss_mask: 0.1709 +2024/01/16 22:19:41 - mmengine - INFO - Epoch(train) [19][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:58:22 time: 0.7969 data_time: 0.0304 memory: 11102 loss: 0.5780 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0245 loss_cls: 0.1472 acc: 93.1641 loss_bbox: 0.1969 loss_mask: 0.1836 +2024/01/16 22:20:21 - mmengine - INFO - Epoch(train) [19][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:57:42 time: 0.7919 data_time: 0.0345 memory: 10568 loss: 0.5655 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0311 loss_cls: 0.1434 acc: 94.5312 loss_bbox: 0.1957 loss_mask: 0.1761 +2024/01/16 22:21:01 - mmengine - INFO - Epoch(train) [19][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:57:03 time: 0.7942 data_time: 0.0294 memory: 9255 loss: 0.5985 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0314 loss_cls: 0.1667 acc: 83.2031 loss_bbox: 0.1949 loss_mask: 0.1831 +2024/01/16 22:21:08 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 22:21:41 - mmengine - INFO - Epoch(train) [19][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:56:23 time: 0.8018 data_time: 0.0371 memory: 11102 loss: 0.7023 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0421 loss_cls: 0.1900 acc: 85.1562 loss_bbox: 0.2411 loss_mask: 0.2035 +2024/01/16 22:22:20 - mmengine - INFO - Epoch(train) [19][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:55:44 time: 0.7891 data_time: 0.0300 memory: 9180 loss: 0.5249 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0238 loss_cls: 0.1322 acc: 91.6016 loss_bbox: 0.1729 loss_mask: 0.1768 +2024/01/16 22:23:00 - mmengine - INFO - Epoch(train) [19][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:55:04 time: 0.7938 data_time: 0.0330 memory: 10572 loss: 0.6277 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0249 loss_cls: 0.1627 acc: 82.6172 loss_bbox: 0.2101 loss_mask: 0.2084 +2024/01/16 22:23:39 - mmengine - INFO - Epoch(train) [19][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:54:24 time: 0.7783 data_time: 0.0393 memory: 10787 loss: 0.7236 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0378 loss_cls: 0.1825 acc: 89.4531 loss_bbox: 0.2639 loss_mask: 0.2206 +2024/01/16 22:24:19 - mmengine - INFO - Epoch(train) [19][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:53:44 time: 0.8004 data_time: 0.0346 memory: 9942 loss: 0.5961 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0267 loss_cls: 0.1424 acc: 94.9219 loss_bbox: 0.1948 loss_mask: 0.2114 +2024/01/16 22:24:59 - mmengine - INFO - Epoch(train) [19][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:53:05 time: 0.7934 data_time: 0.0356 memory: 10571 loss: 0.6204 loss_rpn_cls: 0.0250 loss_rpn_bbox: 0.0316 loss_cls: 0.1706 acc: 90.4297 loss_bbox: 0.2010 loss_mask: 0.1923 +2024/01/16 22:25:38 - mmengine - INFO - Epoch(train) [19][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:52:25 time: 0.7822 data_time: 0.0378 memory: 10310 loss: 0.6785 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0388 loss_cls: 0.1695 acc: 86.7188 loss_bbox: 0.2253 loss_mask: 0.2244 +2024/01/16 22:26:18 - mmengine - INFO - Epoch(train) [19][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:51:46 time: 0.8061 data_time: 0.0330 memory: 10516 loss: 0.6441 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0350 loss_cls: 0.1640 acc: 96.8750 loss_bbox: 0.2197 loss_mask: 0.2038 +2024/01/16 22:26:59 - mmengine - INFO - Epoch(train) [19][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:51:07 time: 0.8101 data_time: 0.0394 memory: 10462 loss: 0.6297 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0312 loss_cls: 0.1777 acc: 87.5000 loss_bbox: 0.2033 loss_mask: 0.1891 +2024/01/16 22:27:38 - mmengine - INFO - Epoch(train) [19][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:50:27 time: 0.7885 data_time: 0.0309 memory: 10239 loss: 0.5943 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0281 loss_cls: 0.1472 acc: 100.0000 loss_bbox: 0.1983 loss_mask: 0.1953 +2024/01/16 22:28:17 - mmengine - INFO - Epoch(train) [19][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:49:47 time: 0.7841 data_time: 0.0326 memory: 10067 loss: 0.6377 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0372 loss_cls: 0.1647 acc: 95.1172 loss_bbox: 0.2124 loss_mask: 0.2011 +2024/01/16 22:28:58 - mmengine - INFO - Epoch(train) [19][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:49:08 time: 0.8018 data_time: 0.0353 memory: 10282 loss: 0.6273 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0302 loss_cls: 0.1579 acc: 98.8281 loss_bbox: 0.2181 loss_mask: 0.1986 +2024/01/16 22:29:37 - mmengine - INFO - Epoch(train) [19][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:48:28 time: 0.7879 data_time: 0.0371 memory: 9601 loss: 0.6406 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0313 loss_cls: 0.1811 acc: 99.6094 loss_bbox: 0.2110 loss_mask: 0.1961 +2024/01/16 22:30:18 - mmengine - INFO - Epoch(train) [19][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:47:49 time: 0.8232 data_time: 0.0412 memory: 11102 loss: 0.6936 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0391 loss_cls: 0.1903 acc: 99.4141 loss_bbox: 0.2365 loss_mask: 0.2062 +2024/01/16 22:30:59 - mmengine - INFO - Epoch(train) [19][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:47:10 time: 0.8086 data_time: 0.0355 memory: 10067 loss: 0.6413 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0260 loss_cls: 0.1684 acc: 97.2656 loss_bbox: 0.2227 loss_mask: 0.2075 +2024/01/16 22:31:38 - mmengine - INFO - Epoch(train) [19][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:46:30 time: 0.7860 data_time: 0.0339 memory: 9253 loss: 0.6284 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0313 loss_cls: 0.1498 acc: 94.1406 loss_bbox: 0.2219 loss_mask: 0.2085 +2024/01/16 22:32:18 - mmengine - INFO - Epoch(train) [19][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:45:51 time: 0.7926 data_time: 0.0297 memory: 10067 loss: 0.5595 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0246 loss_cls: 0.1430 acc: 86.3281 loss_bbox: 0.1771 loss_mask: 0.2041 +2024/01/16 22:32:57 - mmengine - INFO - Epoch(train) [19][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:45:11 time: 0.7864 data_time: 0.0368 memory: 10986 loss: 0.6419 loss_rpn_cls: 0.0303 loss_rpn_bbox: 0.0374 loss_cls: 0.1712 acc: 99.2188 loss_bbox: 0.2121 loss_mask: 0.1910 +2024/01/16 22:33:37 - mmengine - INFO - Epoch(train) [19][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:44:31 time: 0.7942 data_time: 0.0314 memory: 10508 loss: 0.6487 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0351 loss_cls: 0.1729 acc: 99.4141 loss_bbox: 0.2154 loss_mask: 0.2073 +2024/01/16 22:34:16 - mmengine - INFO - Epoch(train) [19][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:43:51 time: 0.7883 data_time: 0.0378 memory: 9625 loss: 0.6080 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0320 loss_cls: 0.1550 acc: 87.6953 loss_bbox: 0.1997 loss_mask: 0.1998 +2024/01/16 22:34:24 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 22:34:56 - mmengine - INFO - Epoch(train) [19][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:43:12 time: 0.7977 data_time: 0.0292 memory: 10430 loss: 0.5888 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0288 loss_cls: 0.1576 acc: 99.2188 loss_bbox: 0.1972 loss_mask: 0.1887 +2024/01/16 22:35:35 - mmengine - INFO - Epoch(train) [19][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:42:32 time: 0.7785 data_time: 0.0320 memory: 9459 loss: 0.5283 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0238 loss_cls: 0.1332 acc: 95.8984 loss_bbox: 0.1687 loss_mask: 0.1880 +2024/01/16 22:36:15 - mmengine - INFO - Epoch(train) [19][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:41:52 time: 0.7908 data_time: 0.0293 memory: 9733 loss: 0.6935 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0354 loss_cls: 0.2046 acc: 83.7891 loss_bbox: 0.2236 loss_mask: 0.2043 +2024/01/16 22:36:55 - mmengine - INFO - Epoch(train) [19][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:41:13 time: 0.8129 data_time: 0.0318 memory: 11102 loss: 0.6309 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0308 loss_cls: 0.1765 acc: 92.7734 loss_bbox: 0.2115 loss_mask: 0.1942 +2024/01/16 22:37:35 - mmengine - INFO - Epoch(train) [19][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:40:33 time: 0.7869 data_time: 0.0303 memory: 9236 loss: 0.5363 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0207 loss_cls: 0.1339 acc: 90.8203 loss_bbox: 0.1806 loss_mask: 0.1888 +2024/01/16 22:38:14 - mmengine - INFO - Epoch(train) [19][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:39:54 time: 0.7924 data_time: 0.0300 memory: 9949 loss: 0.6023 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0252 loss_cls: 0.1688 acc: 94.9219 loss_bbox: 0.1964 loss_mask: 0.1944 +2024/01/16 22:38:54 - mmengine - INFO - Epoch(train) [19][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:39:14 time: 0.7931 data_time: 0.0368 memory: 9880 loss: 0.6145 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0294 loss_cls: 0.1572 acc: 95.7031 loss_bbox: 0.1962 loss_mask: 0.2103 +2024/01/16 22:39:35 - mmengine - INFO - Epoch(train) [19][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:38:36 time: 0.8249 data_time: 0.0339 memory: 10218 loss: 0.6306 loss_rpn_cls: 0.0339 loss_rpn_bbox: 0.0376 loss_cls: 0.1676 acc: 88.8672 loss_bbox: 0.1943 loss_mask: 0.1972 +2024/01/16 22:40:15 - mmengine - INFO - Epoch(train) [19][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:37:57 time: 0.8037 data_time: 0.0333 memory: 10063 loss: 0.5904 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0266 loss_cls: 0.1450 acc: 91.2109 loss_bbox: 0.2018 loss_mask: 0.1987 +2024/01/16 22:40:55 - mmengine - INFO - Epoch(train) [19][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:37:17 time: 0.7910 data_time: 0.0300 memory: 10067 loss: 0.6493 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0333 loss_cls: 0.1656 acc: 90.2344 loss_bbox: 0.2080 loss_mask: 0.2220 +2024/01/16 22:41:34 - mmengine - INFO - Epoch(train) [19][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:36:37 time: 0.7876 data_time: 0.0307 memory: 10340 loss: 0.6010 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0279 loss_cls: 0.1528 acc: 85.5469 loss_bbox: 0.1987 loss_mask: 0.2014 +2024/01/16 22:42:14 - mmengine - INFO - Epoch(train) [19][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:35:57 time: 0.7971 data_time: 0.0402 memory: 10583 loss: 0.7253 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0473 loss_cls: 0.1946 acc: 81.6406 loss_bbox: 0.2405 loss_mask: 0.2158 +2024/01/16 22:42:54 - mmengine - INFO - Epoch(train) [19][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:35:18 time: 0.7881 data_time: 0.0305 memory: 10211 loss: 0.6338 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0283 loss_cls: 0.1649 acc: 100.0000 loss_bbox: 0.2217 loss_mask: 0.1969 +2024/01/16 22:43:33 - mmengine - INFO - Epoch(train) [19][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:34:38 time: 0.7899 data_time: 0.0312 memory: 10168 loss: 0.6065 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0311 loss_cls: 0.1524 acc: 92.7734 loss_bbox: 0.2099 loss_mask: 0.1945 +2024/01/16 22:44:12 - mmengine - INFO - Epoch(train) [19][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:33:58 time: 0.7862 data_time: 0.0339 memory: 11484 loss: 0.5860 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0340 loss_cls: 0.1509 acc: 94.3359 loss_bbox: 0.1850 loss_mask: 0.1943 +2024/01/16 22:44:53 - mmengine - INFO - Epoch(train) [19][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:33:19 time: 0.8060 data_time: 0.0331 memory: 10067 loss: 0.5993 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0254 loss_cls: 0.1564 acc: 95.8984 loss_bbox: 0.2045 loss_mask: 0.1988 +2024/01/16 22:45:32 - mmengine - INFO - Epoch(train) [19][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:32:39 time: 0.7866 data_time: 0.0339 memory: 9756 loss: 0.6379 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0305 loss_cls: 0.1690 acc: 96.8750 loss_bbox: 0.2167 loss_mask: 0.1997 +2024/01/16 22:46:11 - mmengine - INFO - Epoch(train) [19][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:31:59 time: 0.7798 data_time: 0.0338 memory: 10499 loss: 0.6562 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0239 loss_cls: 0.1763 acc: 90.2344 loss_bbox: 0.2263 loss_mask: 0.2138 +2024/01/16 22:46:51 - mmengine - INFO - Epoch(train) [19][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:31:19 time: 0.8017 data_time: 0.0370 memory: 10858 loss: 0.5673 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0332 loss_cls: 0.1376 acc: 99.8047 loss_bbox: 0.1835 loss_mask: 0.1996 +2024/01/16 22:47:31 - mmengine - INFO - Epoch(train) [19][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:30:40 time: 0.7981 data_time: 0.0398 memory: 10572 loss: 0.6736 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0335 loss_cls: 0.1718 acc: 98.4375 loss_bbox: 0.2247 loss_mask: 0.2241 +2024/01/16 22:47:39 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 22:48:10 - mmengine - INFO - Epoch(train) [19][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:30:00 time: 0.7821 data_time: 0.0292 memory: 10067 loss: 0.5806 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0313 loss_cls: 0.1515 acc: 96.0938 loss_bbox: 0.1959 loss_mask: 0.1869 +2024/01/16 22:48:50 - mmengine - INFO - Epoch(train) [19][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:29:20 time: 0.7855 data_time: 0.0324 memory: 10067 loss: 0.5719 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0338 loss_cls: 0.1460 acc: 98.6328 loss_bbox: 0.1942 loss_mask: 0.1782 +2024/01/16 22:49:29 - mmengine - INFO - Epoch(train) [19][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:28:40 time: 0.7892 data_time: 0.0402 memory: 10582 loss: 0.6815 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0349 loss_cls: 0.1974 acc: 87.1094 loss_bbox: 0.2313 loss_mask: 0.1908 +2024/01/16 22:50:09 - mmengine - INFO - Epoch(train) [19][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:28:01 time: 0.8014 data_time: 0.0343 memory: 11102 loss: 0.6672 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0330 loss_cls: 0.1631 acc: 96.0938 loss_bbox: 0.2180 loss_mask: 0.2249 +2024/01/16 22:50:49 - mmengine - INFO - Epoch(train) [19][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:27:21 time: 0.7893 data_time: 0.0354 memory: 10852 loss: 0.5835 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0285 loss_cls: 0.1521 acc: 99.4141 loss_bbox: 0.1915 loss_mask: 0.1953 +2024/01/16 22:51:13 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 22:51:13 - mmengine - INFO - Saving checkpoint at 19 epochs +2024/01/16 22:51:26 - mmengine - INFO - Epoch(val) [19][ 50/313] eta: 0:00:53 time: 0.2022 data_time: 0.0423 memory: 9946 +2024/01/16 22:51:35 - mmengine - INFO - Epoch(val) [19][100/313] eta: 0:00:40 time: 0.1773 data_time: 0.0176 memory: 2388 +2024/01/16 22:51:45 - mmengine - INFO - Epoch(val) [19][150/313] eta: 0:00:30 time: 0.1861 data_time: 0.0300 memory: 2431 +2024/01/16 22:51:55 - mmengine - INFO - Epoch(val) [19][200/313] eta: 0:00:21 time: 0.2044 data_time: 0.0442 memory: 2403 +2024/01/16 22:52:04 - mmengine - INFO - Epoch(val) [19][250/313] eta: 0:00:12 time: 0.1841 data_time: 0.0288 memory: 2431 +2024/01/16 22:52:14 - mmengine - INFO - Epoch(val) [19][300/313] eta: 0:00:02 time: 0.1929 data_time: 0.0331 memory: 2403 +2024/01/16 22:52:25 - mmengine - INFO - Evaluating bbox... +2024/01/16 22:52:48 - mmengine - INFO - bbox_mAP_copypaste: 0.472 0.688 0.519 0.309 0.514 0.618 +2024/01/16 22:52:48 - mmengine - INFO - Evaluating segm... +2024/01/16 22:53:14 - mmengine - INFO - segm_mAP_copypaste: 0.421 0.656 0.452 0.230 0.457 0.605 +2024/01/16 22:53:15 - mmengine - INFO - Epoch(val) [19][313/313] coco/bbox_mAP: 0.4720 coco/bbox_mAP_50: 0.6880 coco/bbox_mAP_75: 0.5190 coco/bbox_mAP_s: 0.3090 coco/bbox_mAP_m: 0.5140 coco/bbox_mAP_l: 0.6180 coco/segm_mAP: 0.4210 coco/segm_mAP_50: 0.6560 coco/segm_mAP_75: 0.4520 coco/segm_mAP_s: 0.2300 coco/segm_mAP_m: 0.4570 coco/segm_mAP_l: 0.6050 data_time: 0.0319 time: 0.1902 +2024/01/16 22:53:56 - mmengine - INFO - Epoch(train) [20][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:26:19 time: 0.8232 data_time: 0.0492 memory: 10205 loss: 0.5219 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0202 loss_cls: 0.1260 acc: 88.2812 loss_bbox: 0.1752 loss_mask: 0.1857 +2024/01/16 22:54:36 - mmengine - INFO - Epoch(train) [20][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:25:39 time: 0.7942 data_time: 0.0339 memory: 10583 loss: 0.5460 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0246 loss_cls: 0.1274 acc: 98.4375 loss_bbox: 0.1709 loss_mask: 0.2090 +2024/01/16 22:55:15 - mmengine - INFO - Epoch(train) [20][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:24:59 time: 0.7830 data_time: 0.0337 memory: 10145 loss: 0.5083 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0213 loss_cls: 0.1246 acc: 99.8047 loss_bbox: 0.1699 loss_mask: 0.1785 +2024/01/16 22:55:54 - mmengine - INFO - Epoch(train) [20][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:24:19 time: 0.7866 data_time: 0.0301 memory: 10150 loss: 0.5257 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0237 loss_cls: 0.1416 acc: 95.3125 loss_bbox: 0.1766 loss_mask: 0.1671 +2024/01/16 22:56:33 - mmengine - INFO - Epoch(train) [20][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:23:39 time: 0.7796 data_time: 0.0335 memory: 10568 loss: 0.5739 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0350 loss_cls: 0.1348 acc: 88.2812 loss_bbox: 0.1900 loss_mask: 0.1947 +2024/01/16 22:57:12 - mmengine - INFO - Epoch(train) [20][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:22:59 time: 0.7858 data_time: 0.0329 memory: 10503 loss: 0.5986 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0331 loss_cls: 0.1454 acc: 90.4297 loss_bbox: 0.2111 loss_mask: 0.1901 +2024/01/16 22:57:52 - mmengine - INFO - Epoch(train) [20][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:22:19 time: 0.7807 data_time: 0.0391 memory: 10568 loss: 0.6836 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0431 loss_cls: 0.1798 acc: 96.4844 loss_bbox: 0.2279 loss_mask: 0.2105 +2024/01/16 22:58:31 - mmengine - INFO - Epoch(train) [20][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:21:39 time: 0.7955 data_time: 0.0341 memory: 9949 loss: 0.5363 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0248 loss_cls: 0.1345 acc: 91.2109 loss_bbox: 0.1825 loss_mask: 0.1784 +2024/01/16 22:59:11 - mmengine - INFO - Epoch(train) [20][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:21:00 time: 0.7973 data_time: 0.0378 memory: 10852 loss: 0.5661 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0321 loss_cls: 0.1436 acc: 82.8125 loss_bbox: 0.1937 loss_mask: 0.1715 +2024/01/16 22:59:51 - mmengine - INFO - Epoch(train) [20][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:20:20 time: 0.7990 data_time: 0.0339 memory: 9905 loss: 0.5946 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0321 loss_cls: 0.1536 acc: 99.0234 loss_bbox: 0.1941 loss_mask: 0.1902 +2024/01/16 23:00:31 - mmengine - INFO - Epoch(train) [20][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:19:41 time: 0.7903 data_time: 0.0324 memory: 9905 loss: 0.6638 loss_rpn_cls: 0.0312 loss_rpn_bbox: 0.0453 loss_cls: 0.1712 acc: 92.7734 loss_bbox: 0.2205 loss_mask: 0.1956 +2024/01/16 23:01:10 - mmengine - INFO - Epoch(train) [20][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:19:01 time: 0.7883 data_time: 0.0320 memory: 9459 loss: 0.6642 loss_rpn_cls: 0.0334 loss_rpn_bbox: 0.0349 loss_cls: 0.1703 acc: 95.5078 loss_bbox: 0.2194 loss_mask: 0.2062 +2024/01/16 23:01:50 - mmengine - INFO - Epoch(train) [20][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:18:21 time: 0.7865 data_time: 0.0320 memory: 10068 loss: 0.6081 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0350 loss_cls: 0.1480 acc: 89.2578 loss_bbox: 0.2008 loss_mask: 0.1996 +2024/01/16 23:02:30 - mmengine - INFO - Epoch(train) [20][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:17:42 time: 0.8075 data_time: 0.0350 memory: 10522 loss: 0.6929 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0355 loss_cls: 0.1758 acc: 81.4453 loss_bbox: 0.2312 loss_mask: 0.2221 +2024/01/16 23:02:54 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 23:03:09 - mmengine - INFO - Epoch(train) [20][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:17:02 time: 0.7880 data_time: 0.0276 memory: 9949 loss: 0.5773 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0270 loss_cls: 0.1482 acc: 93.9453 loss_bbox: 0.1937 loss_mask: 0.1819 +2024/01/16 23:03:49 - mmengine - INFO - Epoch(train) [20][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:16:22 time: 0.7903 data_time: 0.0343 memory: 9628 loss: 0.6228 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0354 loss_cls: 0.1627 acc: 98.6328 loss_bbox: 0.2182 loss_mask: 0.1868 +2024/01/16 23:04:28 - mmengine - INFO - Epoch(train) [20][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:15:42 time: 0.7796 data_time: 0.0324 memory: 9949 loss: 0.7591 loss_rpn_cls: 0.0271 loss_rpn_bbox: 0.0404 loss_cls: 0.2069 acc: 87.1094 loss_bbox: 0.2552 loss_mask: 0.2296 +2024/01/16 23:05:08 - mmengine - INFO - Epoch(train) [20][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:15:03 time: 0.8032 data_time: 0.0320 memory: 10571 loss: 0.6583 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0321 loss_cls: 0.1722 acc: 90.6250 loss_bbox: 0.2114 loss_mask: 0.2185 +2024/01/16 23:05:47 - mmengine - INFO - Epoch(train) [20][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:14:23 time: 0.7822 data_time: 0.0311 memory: 10087 loss: 0.6725 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0331 loss_cls: 0.1872 acc: 98.2422 loss_bbox: 0.2243 loss_mask: 0.2098 +2024/01/16 23:06:28 - mmengine - INFO - Epoch(train) [20][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:13:44 time: 0.8082 data_time: 0.0349 memory: 10986 loss: 0.5955 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0311 loss_cls: 0.1522 acc: 92.3828 loss_bbox: 0.1972 loss_mask: 0.2007 +2024/01/16 23:07:06 - mmengine - INFO - Epoch(train) [20][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:13:03 time: 0.7747 data_time: 0.0257 memory: 9740 loss: 0.5835 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0274 loss_cls: 0.1421 acc: 93.3594 loss_bbox: 0.1905 loss_mask: 0.1997 +2024/01/16 23:07:46 - mmengine - INFO - Epoch(train) [20][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:12:23 time: 0.7923 data_time: 0.0414 memory: 10295 loss: 0.6080 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0283 loss_cls: 0.1569 acc: 90.2344 loss_bbox: 0.2081 loss_mask: 0.1993 +2024/01/16 23:08:27 - mmengine - INFO - Epoch(train) [20][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:11:45 time: 0.8185 data_time: 0.0373 memory: 11448 loss: 0.6987 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0376 loss_cls: 0.1971 acc: 99.8047 loss_bbox: 0.2268 loss_mask: 0.2096 +2024/01/16 23:09:07 - mmengine - INFO - Epoch(train) [20][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:11:06 time: 0.8020 data_time: 0.0382 memory: 10067 loss: 0.5723 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0299 loss_cls: 0.1414 acc: 99.6094 loss_bbox: 0.1896 loss_mask: 0.1915 +2024/01/16 23:09:46 - mmengine - INFO - Epoch(train) [20][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:10:26 time: 0.7872 data_time: 0.0313 memory: 9380 loss: 0.6202 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0334 loss_cls: 0.1673 acc: 86.9141 loss_bbox: 0.2052 loss_mask: 0.1912 +2024/01/16 23:10:27 - mmengine - INFO - Epoch(train) [20][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:09:47 time: 0.8051 data_time: 0.0336 memory: 11099 loss: 0.6652 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0272 loss_cls: 0.1826 acc: 91.0156 loss_bbox: 0.2418 loss_mask: 0.1967 +2024/01/16 23:11:06 - mmengine - INFO - Epoch(train) [20][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:09:07 time: 0.7926 data_time: 0.0377 memory: 10290 loss: 0.6688 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0388 loss_cls: 0.1728 acc: 99.4141 loss_bbox: 0.2302 loss_mask: 0.2067 +2024/01/16 23:11:46 - mmengine - INFO - Epoch(train) [20][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:08:27 time: 0.7931 data_time: 0.0281 memory: 11517 loss: 0.5392 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0259 loss_cls: 0.1400 acc: 90.6250 loss_bbox: 0.1766 loss_mask: 0.1787 +2024/01/16 23:12:27 - mmengine - INFO - Epoch(train) [20][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:07:48 time: 0.8106 data_time: 0.0378 memory: 9949 loss: 0.5890 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0279 loss_cls: 0.1452 acc: 99.4141 loss_bbox: 0.1948 loss_mask: 0.2105 +2024/01/16 23:13:07 - mmengine - INFO - Epoch(train) [20][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:07:09 time: 0.8058 data_time: 0.0344 memory: 10067 loss: 0.6313 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0302 loss_cls: 0.1632 acc: 97.2656 loss_bbox: 0.2071 loss_mask: 0.2104 +2024/01/16 23:13:46 - mmengine - INFO - Epoch(train) [20][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:06:30 time: 0.7895 data_time: 0.0328 memory: 10430 loss: 0.6028 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0274 loss_cls: 0.1549 acc: 94.3359 loss_bbox: 0.2002 loss_mask: 0.2007 +2024/01/16 23:14:26 - mmengine - INFO - Epoch(train) [20][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:05:49 time: 0.7822 data_time: 0.0297 memory: 9760 loss: 0.5684 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0275 loss_cls: 0.1486 acc: 98.8281 loss_bbox: 0.1789 loss_mask: 0.1873 +2024/01/16 23:15:06 - mmengine - INFO - Epoch(train) [20][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:05:10 time: 0.8031 data_time: 0.0359 memory: 10585 loss: 0.6546 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0335 loss_cls: 0.1674 acc: 97.2656 loss_bbox: 0.2190 loss_mask: 0.2094 +2024/01/16 23:15:46 - mmengine - INFO - Epoch(train) [20][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:04:31 time: 0.8044 data_time: 0.0336 memory: 10583 loss: 0.6698 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0368 loss_cls: 0.1650 acc: 88.8672 loss_bbox: 0.2278 loss_mask: 0.2142 +2024/01/16 23:16:10 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 23:16:26 - mmengine - INFO - Epoch(train) [20][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:03:52 time: 0.7979 data_time: 0.0312 memory: 9601 loss: 0.6225 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0266 loss_cls: 0.1687 acc: 93.9453 loss_bbox: 0.2143 loss_mask: 0.1987 +2024/01/16 23:17:05 - mmengine - INFO - Epoch(train) [20][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:03:12 time: 0.7887 data_time: 0.0363 memory: 11514 loss: 0.7370 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0379 loss_cls: 0.1973 acc: 94.5312 loss_bbox: 0.2438 loss_mask: 0.2296 +2024/01/16 23:17:45 - mmengine - INFO - Epoch(train) [20][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:02:32 time: 0.7889 data_time: 0.0344 memory: 10568 loss: 0.6298 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0350 loss_cls: 0.1601 acc: 90.8203 loss_bbox: 0.2202 loss_mask: 0.1989 +2024/01/16 23:18:25 - mmengine - INFO - Epoch(train) [20][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:01:53 time: 0.7994 data_time: 0.0382 memory: 10067 loss: 0.6213 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0314 loss_cls: 0.1616 acc: 98.6328 loss_bbox: 0.2097 loss_mask: 0.1993 +2024/01/16 23:19:05 - mmengine - INFO - Epoch(train) [20][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:01:13 time: 0.7999 data_time: 0.0320 memory: 10572 loss: 0.6323 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0310 loss_cls: 0.1596 acc: 95.8984 loss_bbox: 0.2099 loss_mask: 0.2051 +2024/01/16 23:19:45 - mmengine - INFO - Epoch(train) [20][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 3:00:34 time: 0.7942 data_time: 0.0344 memory: 10067 loss: 0.5563 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0264 loss_cls: 0.1229 acc: 99.4141 loss_bbox: 0.1931 loss_mask: 0.1957 +2024/01/16 23:20:25 - mmengine - INFO - Epoch(train) [20][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:59:55 time: 0.8058 data_time: 0.0324 memory: 10106 loss: 0.5296 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0231 loss_cls: 0.1246 acc: 99.8047 loss_bbox: 0.1779 loss_mask: 0.1915 +2024/01/16 23:21:05 - mmengine - INFO - Epoch(train) [20][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:59:15 time: 0.8012 data_time: 0.0353 memory: 10787 loss: 0.5929 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0268 loss_cls: 0.1635 acc: 92.9688 loss_bbox: 0.1959 loss_mask: 0.1896 +2024/01/16 23:21:44 - mmengine - INFO - Epoch(train) [20][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:58:35 time: 0.7708 data_time: 0.0305 memory: 10271 loss: 0.6590 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0315 loss_cls: 0.1650 acc: 97.0703 loss_bbox: 0.2303 loss_mask: 0.2105 +2024/01/16 23:22:24 - mmengine - INFO - Epoch(train) [20][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:57:55 time: 0.8025 data_time: 0.0293 memory: 9949 loss: 0.6902 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0308 loss_cls: 0.1863 acc: 95.5078 loss_bbox: 0.2363 loss_mask: 0.2155 +2024/01/16 23:23:04 - mmengine - INFO - Epoch(train) [20][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:57:16 time: 0.8003 data_time: 0.0328 memory: 10583 loss: 0.5056 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0264 loss_cls: 0.1313 acc: 95.3125 loss_bbox: 0.1667 loss_mask: 0.1651 +2024/01/16 23:23:44 - mmengine - INFO - Epoch(train) [20][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:56:36 time: 0.7960 data_time: 0.0337 memory: 10529 loss: 0.5367 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0251 loss_cls: 0.1303 acc: 92.9688 loss_bbox: 0.1573 loss_mask: 0.2058 +2024/01/16 23:24:23 - mmengine - INFO - Epoch(train) [20][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:55:57 time: 0.7934 data_time: 0.0336 memory: 10278 loss: 0.5134 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0239 loss_cls: 0.1368 acc: 99.0234 loss_bbox: 0.1628 loss_mask: 0.1773 +2024/01/16 23:25:03 - mmengine - INFO - Epoch(train) [20][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:55:17 time: 0.7863 data_time: 0.0318 memory: 11102 loss: 0.5688 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0225 loss_cls: 0.1397 acc: 96.0938 loss_bbox: 0.1970 loss_mask: 0.1920 +2024/01/16 23:25:42 - mmengine - INFO - Epoch(train) [20][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:54:37 time: 0.7937 data_time: 0.0313 memory: 9600 loss: 0.5987 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0241 loss_cls: 0.1640 acc: 91.6016 loss_bbox: 0.1991 loss_mask: 0.1963 +2024/01/16 23:26:22 - mmengine - INFO - Epoch(train) [20][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:53:57 time: 0.7868 data_time: 0.0297 memory: 9572 loss: 0.5804 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0268 loss_cls: 0.1496 acc: 97.0703 loss_bbox: 0.1959 loss_mask: 0.1918 +2024/01/16 23:27:01 - mmengine - INFO - Epoch(train) [20][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:53:18 time: 0.7892 data_time: 0.0372 memory: 11517 loss: 0.6074 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0316 loss_cls: 0.1563 acc: 99.0234 loss_bbox: 0.2115 loss_mask: 0.1867 +2024/01/16 23:27:41 - mmengine - INFO - Epoch(train) [20][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:52:38 time: 0.8025 data_time: 0.0349 memory: 9949 loss: 0.6326 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0368 loss_cls: 0.1522 acc: 90.6250 loss_bbox: 0.2107 loss_mask: 0.2080 +2024/01/16 23:28:21 - mmengine - INFO - Epoch(train) [20][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:51:59 time: 0.7994 data_time: 0.0278 memory: 9684 loss: 0.5210 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0266 loss_cls: 0.1362 acc: 97.4609 loss_bbox: 0.1682 loss_mask: 0.1727 +2024/01/16 23:29:01 - mmengine - INFO - Epoch(train) [20][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:51:19 time: 0.7943 data_time: 0.0323 memory: 9446 loss: 0.5423 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0263 loss_cls: 0.1431 acc: 96.0938 loss_bbox: 0.1781 loss_mask: 0.1834 +2024/01/16 23:29:25 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 23:29:40 - mmengine - INFO - Epoch(train) [20][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:50:39 time: 0.7883 data_time: 0.0376 memory: 9243 loss: 0.6337 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0298 loss_cls: 0.1626 acc: 99.0234 loss_bbox: 0.2130 loss_mask: 0.2118 +2024/01/16 23:30:20 - mmengine - INFO - Epoch(train) [20][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:50:00 time: 0.7898 data_time: 0.0350 memory: 9366 loss: 0.6302 loss_rpn_cls: 0.0322 loss_rpn_bbox: 0.0367 loss_cls: 0.1677 acc: 92.7734 loss_bbox: 0.2025 loss_mask: 0.1911 +2024/01/16 23:30:59 - mmengine - INFO - Epoch(train) [20][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:49:20 time: 0.7896 data_time: 0.0294 memory: 10186 loss: 0.4817 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0187 loss_cls: 0.1297 acc: 99.2188 loss_bbox: 0.1402 loss_mask: 0.1808 +2024/01/16 23:31:39 - mmengine - INFO - Epoch(train) [20][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:48:40 time: 0.7964 data_time: 0.0293 memory: 10986 loss: 0.5699 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0289 loss_cls: 0.1386 acc: 89.4531 loss_bbox: 0.1914 loss_mask: 0.1913 +2024/01/16 23:32:19 - mmengine - INFO - Epoch(train) [20][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:48:01 time: 0.8007 data_time: 0.0360 memory: 10067 loss: 0.6141 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0314 loss_cls: 0.1656 acc: 88.0859 loss_bbox: 0.2072 loss_mask: 0.1886 +2024/01/16 23:32:59 - mmengine - INFO - Epoch(train) [20][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:47:21 time: 0.7926 data_time: 0.0353 memory: 10572 loss: 0.6193 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0338 loss_cls: 0.1680 acc: 98.6328 loss_bbox: 0.2124 loss_mask: 0.1857 +2024/01/16 23:33:38 - mmengine - INFO - Epoch(train) [20][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:46:41 time: 0.7797 data_time: 0.0350 memory: 9580 loss: 0.6810 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0387 loss_cls: 0.1828 acc: 95.8984 loss_bbox: 0.2317 loss_mask: 0.2037 +2024/01/16 23:34:18 - mmengine - INFO - Epoch(train) [20][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:46:01 time: 0.7912 data_time: 0.0322 memory: 10067 loss: 0.5524 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0272 loss_cls: 0.1441 acc: 95.1172 loss_bbox: 0.1794 loss_mask: 0.1830 +2024/01/16 23:34:57 - mmengine - INFO - Epoch(train) [20][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:45:22 time: 0.7881 data_time: 0.0360 memory: 10572 loss: 0.7059 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0370 loss_cls: 0.1896 acc: 83.7891 loss_bbox: 0.2459 loss_mask: 0.2067 +2024/01/16 23:35:37 - mmengine - INFO - Epoch(train) [20][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:44:42 time: 0.7927 data_time: 0.0399 memory: 10788 loss: 0.6845 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0377 loss_cls: 0.1886 acc: 95.5078 loss_bbox: 0.2274 loss_mask: 0.2093 +2024/01/16 23:36:17 - mmengine - INFO - Epoch(train) [20][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:44:02 time: 0.7963 data_time: 0.0308 memory: 9522 loss: 0.5997 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0313 loss_cls: 0.1511 acc: 99.0234 loss_bbox: 0.2005 loss_mask: 0.1945 +2024/01/16 23:36:56 - mmengine - INFO - Epoch(train) [20][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:43:23 time: 0.7910 data_time: 0.0290 memory: 9364 loss: 0.5415 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0292 loss_cls: 0.1395 acc: 95.1172 loss_bbox: 0.1686 loss_mask: 0.1839 +2024/01/16 23:37:36 - mmengine - INFO - Epoch(train) [20][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:42:43 time: 0.8015 data_time: 0.0321 memory: 10067 loss: 0.5896 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0300 loss_cls: 0.1519 acc: 94.7266 loss_bbox: 0.1942 loss_mask: 0.1918 +2024/01/16 23:38:17 - mmengine - INFO - Epoch(train) [20][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:42:04 time: 0.8073 data_time: 0.0358 memory: 10568 loss: 0.6362 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0376 loss_cls: 0.1636 acc: 97.2656 loss_bbox: 0.2201 loss_mask: 0.1957 +2024/01/16 23:38:56 - mmengine - INFO - Epoch(train) [20][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:41:25 time: 0.7925 data_time: 0.0356 memory: 10087 loss: 0.6892 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0334 loss_cls: 0.1972 acc: 89.0625 loss_bbox: 0.2333 loss_mask: 0.1939 +2024/01/16 23:39:36 - mmengine - INFO - Epoch(train) [20][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:40:45 time: 0.7960 data_time: 0.0371 memory: 9737 loss: 0.6431 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0306 loss_cls: 0.1691 acc: 88.0859 loss_bbox: 0.2208 loss_mask: 0.2019 +2024/01/16 23:40:16 - mmengine - INFO - Epoch(train) [20][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:40:06 time: 0.7949 data_time: 0.0331 memory: 10342 loss: 0.6388 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0341 loss_cls: 0.1754 acc: 88.4766 loss_bbox: 0.2040 loss_mask: 0.2049 +2024/01/16 23:40:55 - mmengine - INFO - Epoch(train) [20][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:39:26 time: 0.7891 data_time: 0.0294 memory: 9396 loss: 0.4956 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0246 loss_cls: 0.1263 acc: 99.4141 loss_bbox: 0.1566 loss_mask: 0.1787 +2024/01/16 23:41:34 - mmengine - INFO - Epoch(train) [20][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:38:45 time: 0.7726 data_time: 0.0275 memory: 10545 loss: 0.5788 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0290 loss_cls: 0.1467 acc: 99.4141 loss_bbox: 0.1958 loss_mask: 0.1892 +2024/01/16 23:42:13 - mmengine - INFO - Epoch(train) [20][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:38:05 time: 0.7808 data_time: 0.0342 memory: 9365 loss: 0.5271 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0301 loss_cls: 0.1348 acc: 99.4141 loss_bbox: 0.1762 loss_mask: 0.1644 +2024/01/16 23:42:37 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 23:42:53 - mmengine - INFO - Epoch(train) [20][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:37:25 time: 0.7939 data_time: 0.0322 memory: 9904 loss: 0.5853 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0279 loss_cls: 0.1620 acc: 99.0234 loss_bbox: 0.2033 loss_mask: 0.1754 +2024/01/16 23:43:33 - mmengine - INFO - Epoch(train) [20][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:36:47 time: 0.8131 data_time: 0.0339 memory: 10013 loss: 0.6712 loss_rpn_cls: 0.0404 loss_rpn_bbox: 0.0355 loss_cls: 0.1862 acc: 88.0859 loss_bbox: 0.2066 loss_mask: 0.2025 +2024/01/16 23:44:13 - mmengine - INFO - Epoch(train) [20][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:36:07 time: 0.7981 data_time: 0.0348 memory: 11099 loss: 0.6064 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0343 loss_cls: 0.1609 acc: 94.7266 loss_bbox: 0.1960 loss_mask: 0.1986 +2024/01/16 23:44:52 - mmengine - INFO - Epoch(train) [20][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:35:27 time: 0.7825 data_time: 0.0327 memory: 9599 loss: 0.5494 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0283 loss_cls: 0.1326 acc: 91.2109 loss_bbox: 0.1812 loss_mask: 0.1898 +2024/01/16 23:45:32 - mmengine - INFO - Epoch(train) [20][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:34:48 time: 0.7979 data_time: 0.0275 memory: 10442 loss: 0.6031 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0278 loss_cls: 0.1560 acc: 85.7422 loss_bbox: 0.1997 loss_mask: 0.2028 +2024/01/16 23:46:12 - mmengine - INFO - Epoch(train) [20][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:34:08 time: 0.7964 data_time: 0.0360 memory: 10067 loss: 0.6495 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0359 loss_cls: 0.1735 acc: 92.7734 loss_bbox: 0.2197 loss_mask: 0.2013 +2024/01/16 23:46:52 - mmengine - INFO - Epoch(train) [20][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:33:28 time: 0.7855 data_time: 0.0283 memory: 9120 loss: 0.5459 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0282 loss_cls: 0.1434 acc: 96.8750 loss_bbox: 0.1779 loss_mask: 0.1802 +2024/01/16 23:47:31 - mmengine - INFO - Epoch(train) [20][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:32:48 time: 0.7869 data_time: 0.0311 memory: 10417 loss: 0.5270 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0288 loss_cls: 0.1260 acc: 97.2656 loss_bbox: 0.1744 loss_mask: 0.1783 +2024/01/16 23:48:10 - mmengine - INFO - Epoch(train) [20][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:32:08 time: 0.7911 data_time: 0.0334 memory: 10093 loss: 0.6402 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0421 loss_cls: 0.1616 acc: 99.8047 loss_bbox: 0.2116 loss_mask: 0.2017 +2024/01/16 23:48:50 - mmengine - INFO - Epoch(train) [20][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:31:29 time: 0.7903 data_time: 0.0286 memory: 10572 loss: 0.6500 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0331 loss_cls: 0.1609 acc: 99.0234 loss_bbox: 0.2180 loss_mask: 0.2156 +2024/01/16 23:49:30 - mmengine - INFO - Epoch(train) [20][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:30:49 time: 0.7947 data_time: 0.0334 memory: 11099 loss: 0.6282 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0319 loss_cls: 0.1568 acc: 78.3203 loss_bbox: 0.2032 loss_mask: 0.2135 +2024/01/16 23:50:10 - mmengine - INFO - Epoch(train) [20][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:30:10 time: 0.8040 data_time: 0.0346 memory: 10572 loss: 0.7076 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0359 loss_cls: 0.1910 acc: 99.8047 loss_bbox: 0.2450 loss_mask: 0.2145 +2024/01/16 23:50:50 - mmengine - INFO - Epoch(train) [20][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:29:31 time: 0.8071 data_time: 0.0327 memory: 10067 loss: 0.6048 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0405 loss_cls: 0.1472 acc: 96.6797 loss_bbox: 0.1817 loss_mask: 0.2057 +2024/01/16 23:51:31 - mmengine - INFO - Epoch(train) [20][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:28:52 time: 0.8053 data_time: 0.0353 memory: 9515 loss: 0.5615 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0247 loss_cls: 0.1410 acc: 99.2188 loss_bbox: 0.1916 loss_mask: 0.1914 +2024/01/16 23:52:11 - mmengine - INFO - Epoch(train) [20][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:28:12 time: 0.7980 data_time: 0.0308 memory: 10568 loss: 0.6306 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0314 loss_cls: 0.1708 acc: 94.5312 loss_bbox: 0.2030 loss_mask: 0.2085 +2024/01/16 23:52:51 - mmengine - INFO - Epoch(train) [20][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:27:33 time: 0.7992 data_time: 0.0353 memory: 11011 loss: 0.6347 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0259 loss_cls: 0.1729 acc: 98.8281 loss_bbox: 0.2172 loss_mask: 0.1985 +2024/01/16 23:53:30 - mmengine - INFO - Epoch(train) [20][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:26:53 time: 0.7860 data_time: 0.0333 memory: 10067 loss: 0.6541 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0351 loss_cls: 0.1661 acc: 99.2188 loss_bbox: 0.2252 loss_mask: 0.2067 +2024/01/16 23:54:09 - mmengine - INFO - Epoch(train) [20][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:26:13 time: 0.7878 data_time: 0.0383 memory: 10568 loss: 0.6639 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0343 loss_cls: 0.1817 acc: 98.8281 loss_bbox: 0.2222 loss_mask: 0.1995 +2024/01/16 23:54:49 - mmengine - INFO - Epoch(train) [20][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:25:34 time: 0.7954 data_time: 0.0340 memory: 10875 loss: 0.5093 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0257 loss_cls: 0.1251 acc: 100.0000 loss_bbox: 0.1662 loss_mask: 0.1754 +2024/01/16 23:55:29 - mmengine - INFO - Epoch(train) [20][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:24:54 time: 0.8073 data_time: 0.0325 memory: 9506 loss: 0.6743 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0377 loss_cls: 0.1785 acc: 99.0234 loss_bbox: 0.2358 loss_mask: 0.2074 +2024/01/16 23:55:54 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/16 23:56:10 - mmengine - INFO - Epoch(train) [20][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:24:15 time: 0.8068 data_time: 0.0334 memory: 11088 loss: 0.5843 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0315 loss_cls: 0.1567 acc: 89.6484 loss_bbox: 0.1805 loss_mask: 0.1911 +2024/01/16 23:56:49 - mmengine - INFO - Epoch(train) [20][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:23:36 time: 0.7889 data_time: 0.0339 memory: 10583 loss: 0.6217 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0366 loss_cls: 0.1516 acc: 95.5078 loss_bbox: 0.2073 loss_mask: 0.2005 +2024/01/16 23:57:30 - mmengine - INFO - Epoch(train) [20][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:22:57 time: 0.8152 data_time: 0.0369 memory: 10859 loss: 0.6035 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0269 loss_cls: 0.1613 acc: 91.2109 loss_bbox: 0.2034 loss_mask: 0.1948 +2024/01/16 23:58:10 - mmengine - INFO - Epoch(train) [20][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:22:17 time: 0.8000 data_time: 0.0371 memory: 10067 loss: 0.5869 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0257 loss_cls: 0.1580 acc: 96.2891 loss_bbox: 0.1944 loss_mask: 0.1884 +2024/01/16 23:58:50 - mmengine - INFO - Epoch(train) [20][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:21:38 time: 0.8017 data_time: 0.0331 memory: 9737 loss: 0.6830 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0383 loss_cls: 0.1891 acc: 95.8984 loss_bbox: 0.2358 loss_mask: 0.1932 +2024/01/16 23:59:30 - mmengine - INFO - Epoch(train) [20][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:20:59 time: 0.8036 data_time: 0.0330 memory: 10568 loss: 0.6086 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0328 loss_cls: 0.1541 acc: 90.6250 loss_bbox: 0.1977 loss_mask: 0.2013 +2024/01/17 00:00:10 - mmengine - INFO - Epoch(train) [20][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:20:19 time: 0.7937 data_time: 0.0346 memory: 10067 loss: 0.5921 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0279 loss_cls: 0.1644 acc: 82.0312 loss_bbox: 0.2043 loss_mask: 0.1750 +2024/01/17 00:00:50 - mmengine - INFO - Epoch(train) [20][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:19:40 time: 0.7927 data_time: 0.0339 memory: 10582 loss: 0.4969 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0236 loss_cls: 0.1274 acc: 93.9453 loss_bbox: 0.1791 loss_mask: 0.1534 +2024/01/17 00:01:30 - mmengine - INFO - Epoch(train) [20][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:19:00 time: 0.7999 data_time: 0.0360 memory: 10582 loss: 0.7185 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0366 loss_cls: 0.1837 acc: 87.6953 loss_bbox: 0.2443 loss_mask: 0.2215 +2024/01/17 00:02:09 - mmengine - INFO - Epoch(train) [20][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:18:20 time: 0.7870 data_time: 0.0345 memory: 9736 loss: 0.6128 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0320 loss_cls: 0.1603 acc: 88.8672 loss_bbox: 0.1868 loss_mask: 0.2092 +2024/01/17 00:02:49 - mmengine - INFO - Epoch(train) [20][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:17:41 time: 0.7921 data_time: 0.0383 memory: 10572 loss: 0.5795 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0277 loss_cls: 0.1572 acc: 99.0234 loss_bbox: 0.1961 loss_mask: 0.1835 +2024/01/17 00:03:28 - mmengine - INFO - Epoch(train) [20][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:17:01 time: 0.7849 data_time: 0.0381 memory: 10278 loss: 0.5803 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0277 loss_cls: 0.1493 acc: 91.7969 loss_bbox: 0.1824 loss_mask: 0.2013 +2024/01/17 00:04:08 - mmengine - INFO - Epoch(train) [20][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:16:21 time: 0.7923 data_time: 0.0300 memory: 11099 loss: 0.6117 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0264 loss_cls: 0.1621 acc: 90.6250 loss_bbox: 0.2128 loss_mask: 0.1937 +2024/01/17 00:04:48 - mmengine - INFO - Epoch(train) [20][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:15:42 time: 0.7999 data_time: 0.0338 memory: 9398 loss: 0.6797 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0395 loss_cls: 0.1774 acc: 94.1406 loss_bbox: 0.2258 loss_mask: 0.2143 +2024/01/17 00:05:27 - mmengine - INFO - Epoch(train) [20][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:15:02 time: 0.7944 data_time: 0.0327 memory: 10568 loss: 0.5613 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0237 loss_cls: 0.1440 acc: 96.2891 loss_bbox: 0.1887 loss_mask: 0.1851 +2024/01/17 00:06:07 - mmengine - INFO - Epoch(train) [20][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:14:22 time: 0.7865 data_time: 0.0344 memory: 10081 loss: 0.5549 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0253 loss_cls: 0.1404 acc: 92.9688 loss_bbox: 0.1854 loss_mask: 0.1848 +2024/01/17 00:06:47 - mmengine - INFO - Epoch(train) [20][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:13:43 time: 0.8024 data_time: 0.0378 memory: 10572 loss: 0.6240 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0386 loss_cls: 0.1670 acc: 95.7031 loss_bbox: 0.2061 loss_mask: 0.1901 +2024/01/17 00:07:26 - mmengine - INFO - Epoch(train) [20][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:13:03 time: 0.7883 data_time: 0.0395 memory: 10109 loss: 0.6195 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0371 loss_cls: 0.1695 acc: 98.4375 loss_bbox: 0.2082 loss_mask: 0.1807 +2024/01/17 00:08:06 - mmengine - INFO - Epoch(train) [20][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:12:23 time: 0.7931 data_time: 0.0354 memory: 10295 loss: 0.6361 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0313 loss_cls: 0.1625 acc: 99.0234 loss_bbox: 0.2184 loss_mask: 0.2064 +2024/01/17 00:08:46 - mmengine - INFO - Epoch(train) [20][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:11:44 time: 0.7924 data_time: 0.0331 memory: 10596 loss: 0.6654 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0341 loss_cls: 0.1738 acc: 91.6016 loss_bbox: 0.2244 loss_mask: 0.2150 +2024/01/17 00:09:09 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 00:09:25 - mmengine - INFO - Epoch(train) [20][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:11:03 time: 0.7765 data_time: 0.0320 memory: 10735 loss: 0.6203 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0314 loss_cls: 0.1563 acc: 99.6094 loss_bbox: 0.2095 loss_mask: 0.2019 +2024/01/17 00:10:04 - mmengine - INFO - Epoch(train) [20][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:10:24 time: 0.7966 data_time: 0.0359 memory: 9459 loss: 0.5925 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0363 loss_cls: 0.1442 acc: 89.0625 loss_bbox: 0.1798 loss_mask: 0.2088 +2024/01/17 00:10:44 - mmengine - INFO - Epoch(train) [20][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:09:44 time: 0.7945 data_time: 0.0391 memory: 10067 loss: 0.6672 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0390 loss_cls: 0.1626 acc: 97.4609 loss_bbox: 0.2169 loss_mask: 0.2239 +2024/01/17 00:11:25 - mmengine - INFO - Epoch(train) [20][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:09:06 time: 0.8233 data_time: 0.0302 memory: 10404 loss: 0.6123 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0337 loss_cls: 0.1571 acc: 93.5547 loss_bbox: 0.1963 loss_mask: 0.2051 +2024/01/17 00:12:05 - mmengine - INFO - Epoch(train) [20][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:08:26 time: 0.7922 data_time: 0.0338 memory: 10572 loss: 0.6026 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0308 loss_cls: 0.1528 acc: 97.2656 loss_bbox: 0.2044 loss_mask: 0.1972 +2024/01/17 00:12:45 - mmengine - INFO - Epoch(train) [20][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:07:46 time: 0.7924 data_time: 0.0284 memory: 10308 loss: 0.5839 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0274 loss_cls: 0.1465 acc: 96.4844 loss_bbox: 0.1924 loss_mask: 0.2007 +2024/01/17 00:13:24 - mmengine - INFO - Epoch(train) [20][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:07:07 time: 0.7968 data_time: 0.0317 memory: 11104 loss: 0.6794 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0267 loss_cls: 0.1843 acc: 95.5078 loss_bbox: 0.2416 loss_mask: 0.2053 +2024/01/17 00:14:05 - mmengine - INFO - Epoch(train) [20][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:06:28 time: 0.8085 data_time: 0.0334 memory: 9882 loss: 0.6814 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0416 loss_cls: 0.1719 acc: 82.4219 loss_bbox: 0.2344 loss_mask: 0.2068 +2024/01/17 00:14:45 - mmengine - INFO - Epoch(train) [20][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:05:48 time: 0.7951 data_time: 0.0380 memory: 9598 loss: 0.6527 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0334 loss_cls: 0.1736 acc: 99.0234 loss_bbox: 0.2148 loss_mask: 0.2107 +2024/01/17 00:15:24 - mmengine - INFO - Epoch(train) [20][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:05:09 time: 0.7933 data_time: 0.0308 memory: 10572 loss: 0.6178 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0323 loss_cls: 0.1514 acc: 93.9453 loss_bbox: 0.2078 loss_mask: 0.2101 +2024/01/17 00:16:04 - mmengine - INFO - Epoch(train) [20][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:04:29 time: 0.7937 data_time: 0.0319 memory: 9915 loss: 0.5584 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0300 loss_cls: 0.1426 acc: 92.3828 loss_bbox: 0.1739 loss_mask: 0.1919 +2024/01/17 00:16:44 - mmengine - INFO - Epoch(train) [20][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:03:49 time: 0.7956 data_time: 0.0261 memory: 10067 loss: 0.5821 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0259 loss_cls: 0.1623 acc: 95.7031 loss_bbox: 0.1819 loss_mask: 0.1925 +2024/01/17 00:17:24 - mmengine - INFO - Epoch(train) [20][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:03:10 time: 0.7953 data_time: 0.0372 memory: 10067 loss: 0.6665 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0420 loss_cls: 0.1752 acc: 95.5078 loss_bbox: 0.2278 loss_mask: 0.1924 +2024/01/17 00:18:04 - mmengine - INFO - Epoch(train) [20][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:02:30 time: 0.7982 data_time: 0.0328 memory: 10486 loss: 0.5847 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0261 loss_cls: 0.1515 acc: 94.3359 loss_bbox: 0.2020 loss_mask: 0.1831 +2024/01/17 00:18:43 - mmengine - INFO - Epoch(train) [20][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:01:51 time: 0.7893 data_time: 0.0328 memory: 10572 loss: 0.5568 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0268 loss_cls: 0.1334 acc: 89.8438 loss_bbox: 0.1849 loss_mask: 0.1960 +2024/01/17 00:19:23 - mmengine - INFO - Epoch(train) [20][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:01:12 time: 0.8070 data_time: 0.0340 memory: 10583 loss: 0.6523 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0324 loss_cls: 0.1700 acc: 97.2656 loss_bbox: 0.2237 loss_mask: 0.2041 +2024/01/17 00:20:03 - mmengine - INFO - Epoch(train) [20][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 2:00:32 time: 0.7898 data_time: 0.0382 memory: 11099 loss: 0.7252 loss_rpn_cls: 0.0345 loss_rpn_bbox: 0.0409 loss_cls: 0.1813 acc: 98.0469 loss_bbox: 0.2424 loss_mask: 0.2260 +2024/01/17 00:20:43 - mmengine - INFO - Epoch(train) [20][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:59:52 time: 0.7942 data_time: 0.0321 memory: 9949 loss: 0.6003 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0291 loss_cls: 0.1636 acc: 99.6094 loss_bbox: 0.1965 loss_mask: 0.1837 +2024/01/17 00:21:22 - mmengine - INFO - Epoch(train) [20][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:59:12 time: 0.7849 data_time: 0.0351 memory: 10568 loss: 0.5889 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0268 loss_cls: 0.1445 acc: 89.2578 loss_bbox: 0.1975 loss_mask: 0.1992 +2024/01/17 00:22:02 - mmengine - INFO - Epoch(train) [20][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:58:32 time: 0.7911 data_time: 0.0312 memory: 10986 loss: 0.5628 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0274 loss_cls: 0.1363 acc: 96.6797 loss_bbox: 0.1987 loss_mask: 0.1831 +2024/01/17 00:22:26 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 00:22:42 - mmengine - INFO - Epoch(train) [20][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:57:53 time: 0.8029 data_time: 0.0330 memory: 10582 loss: 0.6430 loss_rpn_cls: 0.0319 loss_rpn_bbox: 0.0295 loss_cls: 0.1598 acc: 84.5703 loss_bbox: 0.2091 loss_mask: 0.2127 +2024/01/17 00:23:22 - mmengine - INFO - Epoch(train) [20][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:57:14 time: 0.8135 data_time: 0.0307 memory: 9418 loss: 0.5893 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0289 loss_cls: 0.1472 acc: 90.6250 loss_bbox: 0.1880 loss_mask: 0.2007 +2024/01/17 00:24:02 - mmengine - INFO - Epoch(train) [20][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:56:34 time: 0.7824 data_time: 0.0319 memory: 10308 loss: 0.5351 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0267 loss_cls: 0.1325 acc: 90.8203 loss_bbox: 0.1661 loss_mask: 0.1898 +2024/01/17 00:24:42 - mmengine - INFO - Epoch(train) [20][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:55:55 time: 0.8056 data_time: 0.0335 memory: 11313 loss: 0.5482 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0229 loss_cls: 0.1373 acc: 83.9844 loss_bbox: 0.1644 loss_mask: 0.2028 +2024/01/17 00:25:21 - mmengine - INFO - Epoch(train) [20][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:55:15 time: 0.7767 data_time: 0.0353 memory: 10139 loss: 0.5970 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0277 loss_cls: 0.1655 acc: 87.6953 loss_bbox: 0.2046 loss_mask: 0.1792 +2024/01/17 00:26:01 - mmengine - INFO - Epoch(train) [20][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:54:35 time: 0.7947 data_time: 0.0359 memory: 9526 loss: 0.6132 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0302 loss_cls: 0.1672 acc: 91.9922 loss_bbox: 0.2002 loss_mask: 0.1915 +2024/01/17 00:26:40 - mmengine - INFO - Epoch(train) [20][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:53:56 time: 0.7949 data_time: 0.0363 memory: 10572 loss: 0.6342 loss_rpn_cls: 0.0340 loss_rpn_bbox: 0.0297 loss_cls: 0.1689 acc: 99.0234 loss_bbox: 0.2077 loss_mask: 0.1939 +2024/01/17 00:27:21 - mmengine - INFO - Epoch(train) [20][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:53:17 time: 0.8119 data_time: 0.0321 memory: 10568 loss: 0.5869 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0210 loss_cls: 0.1627 acc: 92.7734 loss_bbox: 0.1924 loss_mask: 0.1856 +2024/01/17 00:28:01 - mmengine - INFO - Epoch(train) [20][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:52:37 time: 0.7973 data_time: 0.0399 memory: 9884 loss: 0.5863 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0371 loss_cls: 0.1449 acc: 98.2422 loss_bbox: 0.1959 loss_mask: 0.1879 +2024/01/17 00:28:40 - mmengine - INFO - Epoch(train) [20][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:51:58 time: 0.7912 data_time: 0.0349 memory: 9736 loss: 0.5448 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0293 loss_cls: 0.1299 acc: 89.6484 loss_bbox: 0.1741 loss_mask: 0.1911 +2024/01/17 00:29:20 - mmengine - INFO - Epoch(train) [20][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:51:18 time: 0.8007 data_time: 0.0296 memory: 9592 loss: 0.6413 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0308 loss_cls: 0.1599 acc: 82.0312 loss_bbox: 0.2184 loss_mask: 0.2137 +2024/01/17 00:30:02 - mmengine - INFO - Epoch(train) [20][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:50:40 time: 0.8226 data_time: 0.0346 memory: 11406 loss: 0.6913 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0417 loss_cls: 0.1697 acc: 98.2422 loss_bbox: 0.2485 loss_mask: 0.2076 +2024/01/17 00:30:26 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 00:30:26 - mmengine - INFO - Saving checkpoint at 20 epochs +2024/01/17 00:30:41 - mmengine - INFO - Epoch(val) [20][ 50/313] eta: 0:00:58 time: 0.2210 data_time: 0.0603 memory: 10986 +2024/01/17 00:30:51 - mmengine - INFO - Epoch(val) [20][100/313] eta: 0:00:44 time: 0.1950 data_time: 0.0342 memory: 2388 +2024/01/17 00:31:00 - mmengine - INFO - Epoch(val) [20][150/313] eta: 0:00:33 time: 0.1966 data_time: 0.0389 memory: 2431 +2024/01/17 00:31:10 - mmengine - INFO - Epoch(val) [20][200/313] eta: 0:00:22 time: 0.1925 data_time: 0.0308 memory: 2403 +2024/01/17 00:31:19 - mmengine - INFO - Epoch(val) [20][250/313] eta: 0:00:12 time: 0.1822 data_time: 0.0257 memory: 2431 +2024/01/17 00:31:29 - mmengine - INFO - Epoch(val) [20][300/313] eta: 0:00:02 time: 0.2006 data_time: 0.0403 memory: 2403 +2024/01/17 00:31:38 - mmengine - INFO - Evaluating bbox... +2024/01/17 00:32:02 - mmengine - INFO - bbox_mAP_copypaste: 0.464 0.676 0.507 0.289 0.494 0.619 +2024/01/17 00:32:02 - mmengine - INFO - Evaluating segm... +2024/01/17 00:32:29 - mmengine - INFO - segm_mAP_copypaste: 0.411 0.645 0.441 0.209 0.437 0.606 +2024/01/17 00:32:30 - mmengine - INFO - Epoch(val) [20][313/313] coco/bbox_mAP: 0.4640 coco/bbox_mAP_50: 0.6760 coco/bbox_mAP_75: 0.5070 coco/bbox_mAP_s: 0.2890 coco/bbox_mAP_m: 0.4940 coco/bbox_mAP_l: 0.6190 coco/segm_mAP: 0.4110 coco/segm_mAP_50: 0.6450 coco/segm_mAP_75: 0.4410 coco/segm_mAP_s: 0.2090 coco/segm_mAP_m: 0.4370 coco/segm_mAP_l: 0.6060 data_time: 0.0368 time: 0.1962 +2024/01/17 00:33:10 - mmengine - INFO - Epoch(train) [21][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:49:37 time: 0.8107 data_time: 0.0434 memory: 10568 loss: 0.5754 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0269 loss_cls: 0.1513 acc: 95.8984 loss_bbox: 0.1897 loss_mask: 0.1901 +2024/01/17 00:33:50 - mmengine - INFO - Epoch(train) [21][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:48:58 time: 0.7970 data_time: 0.0298 memory: 10123 loss: 0.6601 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0335 loss_cls: 0.1729 acc: 96.8750 loss_bbox: 0.2214 loss_mask: 0.2071 +2024/01/17 00:34:29 - mmengine - INFO - Epoch(train) [21][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:48:18 time: 0.7822 data_time: 0.0367 memory: 10370 loss: 0.6066 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0311 loss_cls: 0.1623 acc: 98.8281 loss_bbox: 0.1966 loss_mask: 0.1959 +2024/01/17 00:35:09 - mmengine - INFO - Epoch(train) [21][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:47:38 time: 0.7913 data_time: 0.0331 memory: 9259 loss: 0.6802 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0413 loss_cls: 0.1779 acc: 91.9922 loss_bbox: 0.2444 loss_mask: 0.1939 +2024/01/17 00:35:49 - mmengine - INFO - Epoch(train) [21][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:46:59 time: 0.8067 data_time: 0.0302 memory: 10067 loss: 0.5968 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0248 loss_cls: 0.1402 acc: 99.0234 loss_bbox: 0.2161 loss_mask: 0.1958 +2024/01/17 00:36:29 - mmengine - INFO - Epoch(train) [21][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:46:20 time: 0.8001 data_time: 0.0310 memory: 10572 loss: 0.5962 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0307 loss_cls: 0.1523 acc: 96.0938 loss_bbox: 0.1977 loss_mask: 0.2016 +2024/01/17 00:37:09 - mmengine - INFO - Epoch(train) [21][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:45:40 time: 0.7951 data_time: 0.0375 memory: 9737 loss: 0.6210 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0365 loss_cls: 0.1528 acc: 97.4609 loss_bbox: 0.1960 loss_mask: 0.2121 +2024/01/17 00:37:49 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 00:37:49 - mmengine - INFO - Epoch(train) [21][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:45:01 time: 0.7997 data_time: 0.0330 memory: 9573 loss: 0.5371 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0225 loss_cls: 0.1405 acc: 95.1172 loss_bbox: 0.1830 loss_mask: 0.1771 +2024/01/17 00:38:30 - mmengine - INFO - Epoch(train) [21][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:44:22 time: 0.8224 data_time: 0.0307 memory: 10013 loss: 0.5630 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0312 loss_cls: 0.1493 acc: 91.2109 loss_bbox: 0.1954 loss_mask: 0.1711 +2024/01/17 00:39:10 - mmengine - INFO - Epoch(train) [21][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:43:42 time: 0.7941 data_time: 0.0314 memory: 10207 loss: 0.4947 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0232 loss_cls: 0.1268 acc: 99.8047 loss_bbox: 0.1610 loss_mask: 0.1661 +2024/01/17 00:39:50 - mmengine - INFO - Epoch(train) [21][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:43:03 time: 0.8009 data_time: 0.0378 memory: 10568 loss: 0.6463 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0417 loss_cls: 0.1586 acc: 85.5469 loss_bbox: 0.2157 loss_mask: 0.2046 +2024/01/17 00:40:30 - mmengine - INFO - Epoch(train) [21][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:42:24 time: 0.8018 data_time: 0.0335 memory: 10299 loss: 0.6071 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0342 loss_cls: 0.1636 acc: 89.0625 loss_bbox: 0.2060 loss_mask: 0.1832 +2024/01/17 00:41:09 - mmengine - INFO - Epoch(train) [21][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:41:44 time: 0.7823 data_time: 0.0301 memory: 9420 loss: 0.6754 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0329 loss_cls: 0.1864 acc: 97.6562 loss_bbox: 0.2164 loss_mask: 0.2084 +2024/01/17 00:41:49 - mmengine - INFO - Epoch(train) [21][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:41:04 time: 0.7936 data_time: 0.0329 memory: 9904 loss: 0.5816 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0304 loss_cls: 0.1447 acc: 90.2344 loss_bbox: 0.1953 loss_mask: 0.1876 +2024/01/17 00:42:28 - mmengine - INFO - Epoch(train) [21][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:40:24 time: 0.7926 data_time: 0.0330 memory: 9737 loss: 0.5486 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0312 loss_cls: 0.1362 acc: 95.1172 loss_bbox: 0.1799 loss_mask: 0.1831 +2024/01/17 00:43:08 - mmengine - INFO - Epoch(train) [21][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:39:45 time: 0.7901 data_time: 0.0342 memory: 9949 loss: 0.5855 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0265 loss_cls: 0.1559 acc: 99.6094 loss_bbox: 0.1955 loss_mask: 0.1921 +2024/01/17 00:43:49 - mmengine - INFO - Epoch(train) [21][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:39:06 time: 0.8110 data_time: 0.0309 memory: 9082 loss: 0.4765 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0190 loss_cls: 0.1219 acc: 97.2656 loss_bbox: 0.1663 loss_mask: 0.1571 +2024/01/17 00:44:28 - mmengine - INFO - Epoch(train) [21][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:38:26 time: 0.7862 data_time: 0.0340 memory: 9684 loss: 0.6810 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0374 loss_cls: 0.1752 acc: 94.7266 loss_bbox: 0.2159 loss_mask: 0.2296 +2024/01/17 00:45:07 - mmengine - INFO - Epoch(train) [21][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:37:46 time: 0.7910 data_time: 0.0299 memory: 10068 loss: 0.6143 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0339 loss_cls: 0.1554 acc: 79.4922 loss_bbox: 0.2025 loss_mask: 0.2022 +2024/01/17 00:45:47 - mmengine - INFO - Epoch(train) [21][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:37:06 time: 0.7870 data_time: 0.0383 memory: 10552 loss: 0.6752 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0410 loss_cls: 0.1775 acc: 93.1641 loss_bbox: 0.2386 loss_mask: 0.1974 +2024/01/17 00:46:26 - mmengine - INFO - Epoch(train) [21][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:36:26 time: 0.7871 data_time: 0.0314 memory: 10311 loss: 0.5768 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0236 loss_cls: 0.1499 acc: 98.4375 loss_bbox: 0.2012 loss_mask: 0.1841 +2024/01/17 00:47:06 - mmengine - INFO - Epoch(train) [21][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:35:46 time: 0.7905 data_time: 0.0331 memory: 10060 loss: 0.4845 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0215 loss_cls: 0.1148 acc: 95.8984 loss_bbox: 0.1529 loss_mask: 0.1781 +2024/01/17 00:47:45 - mmengine - INFO - Epoch(train) [21][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:35:07 time: 0.7904 data_time: 0.0319 memory: 10516 loss: 0.6139 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0346 loss_cls: 0.1557 acc: 97.8516 loss_bbox: 0.2151 loss_mask: 0.1828 +2024/01/17 00:48:26 - mmengine - INFO - Epoch(train) [21][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:34:28 time: 0.8073 data_time: 0.0386 memory: 10568 loss: 0.7240 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0399 loss_cls: 0.1911 acc: 94.1406 loss_bbox: 0.2517 loss_mask: 0.2147 +2024/01/17 00:49:05 - mmengine - INFO - Epoch(train) [21][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:33:47 time: 0.7805 data_time: 0.0300 memory: 10186 loss: 0.5374 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0326 loss_cls: 0.1376 acc: 85.7422 loss_bbox: 0.1769 loss_mask: 0.1616 +2024/01/17 00:49:45 - mmengine - INFO - Epoch(train) [21][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:33:08 time: 0.7943 data_time: 0.0321 memory: 10572 loss: 0.5910 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0283 loss_cls: 0.1456 acc: 98.6328 loss_bbox: 0.2015 loss_mask: 0.1965 +2024/01/17 00:50:24 - mmengine - INFO - Epoch(train) [21][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:32:28 time: 0.7886 data_time: 0.0320 memory: 9784 loss: 0.5883 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0254 loss_cls: 0.1517 acc: 88.6719 loss_bbox: 0.1972 loss_mask: 0.1950 +2024/01/17 00:51:04 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 00:51:04 - mmengine - INFO - Epoch(train) [21][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:31:49 time: 0.8039 data_time: 0.0295 memory: 10067 loss: 0.5410 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0300 loss_cls: 0.1367 acc: 92.3828 loss_bbox: 0.1751 loss_mask: 0.1843 +2024/01/17 00:51:44 - mmengine - INFO - Epoch(train) [21][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:31:09 time: 0.7991 data_time: 0.0295 memory: 10518 loss: 0.5418 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0242 loss_cls: 0.1354 acc: 94.7266 loss_bbox: 0.1787 loss_mask: 0.1876 +2024/01/17 00:52:25 - mmengine - INFO - Epoch(train) [21][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:30:30 time: 0.8125 data_time: 0.0377 memory: 10516 loss: 0.6445 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0325 loss_cls: 0.1771 acc: 88.8672 loss_bbox: 0.2156 loss_mask: 0.1975 +2024/01/17 00:53:04 - mmengine - INFO - Epoch(train) [21][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:29:51 time: 0.7913 data_time: 0.0320 memory: 9734 loss: 0.5596 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0273 loss_cls: 0.1402 acc: 96.6797 loss_bbox: 0.1792 loss_mask: 0.1992 +2024/01/17 00:53:44 - mmengine - INFO - Epoch(train) [21][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:29:11 time: 0.7937 data_time: 0.0344 memory: 10572 loss: 0.4378 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0211 loss_cls: 0.0965 acc: 98.0469 loss_bbox: 0.1358 loss_mask: 0.1751 +2024/01/17 00:54:24 - mmengine - INFO - Epoch(train) [21][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:28:32 time: 0.8018 data_time: 0.0349 memory: 10572 loss: 0.5884 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0264 loss_cls: 0.1428 acc: 80.2734 loss_bbox: 0.1950 loss_mask: 0.2054 +2024/01/17 00:55:04 - mmengine - INFO - Epoch(train) [21][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:27:52 time: 0.7977 data_time: 0.0315 memory: 9601 loss: 0.4882 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0184 loss_cls: 0.1216 acc: 95.3125 loss_bbox: 0.1608 loss_mask: 0.1714 +2024/01/17 00:55:44 - mmengine - INFO - Epoch(train) [21][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:27:13 time: 0.8028 data_time: 0.0342 memory: 10126 loss: 0.6007 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0304 loss_cls: 0.1584 acc: 99.0234 loss_bbox: 0.2117 loss_mask: 0.1828 +2024/01/17 00:56:24 - mmengine - INFO - Epoch(train) [21][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:26:33 time: 0.7950 data_time: 0.0301 memory: 10986 loss: 0.5908 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0336 loss_cls: 0.1601 acc: 91.4062 loss_bbox: 0.1919 loss_mask: 0.1799 +2024/01/17 00:57:05 - mmengine - INFO - Epoch(train) [21][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:25:54 time: 0.8124 data_time: 0.0400 memory: 10568 loss: 0.7393 loss_rpn_cls: 0.0347 loss_rpn_bbox: 0.0445 loss_cls: 0.2040 acc: 88.2812 loss_bbox: 0.2495 loss_mask: 0.2066 +2024/01/17 00:57:44 - mmengine - INFO - Epoch(train) [21][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:25:15 time: 0.7866 data_time: 0.0347 memory: 10572 loss: 0.4778 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0265 loss_cls: 0.1257 acc: 99.4141 loss_bbox: 0.1525 loss_mask: 0.1572 +2024/01/17 00:58:24 - mmengine - INFO - Epoch(train) [21][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:24:35 time: 0.7900 data_time: 0.0269 memory: 10583 loss: 0.5203 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0214 loss_cls: 0.1226 acc: 97.4609 loss_bbox: 0.1732 loss_mask: 0.1886 +2024/01/17 00:59:03 - mmengine - INFO - Epoch(train) [21][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:23:55 time: 0.7929 data_time: 0.0330 memory: 10583 loss: 0.5734 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0248 loss_cls: 0.1434 acc: 94.7266 loss_bbox: 0.1851 loss_mask: 0.2023 +2024/01/17 00:59:43 - mmengine - INFO - Epoch(train) [21][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:23:15 time: 0.7879 data_time: 0.0306 memory: 10715 loss: 0.5899 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0266 loss_cls: 0.1450 acc: 98.6328 loss_bbox: 0.2038 loss_mask: 0.1931 +2024/01/17 01:00:23 - mmengine - INFO - Epoch(train) [21][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:22:36 time: 0.8131 data_time: 0.0324 memory: 10243 loss: 0.5916 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0302 loss_cls: 0.1527 acc: 99.0234 loss_bbox: 0.1990 loss_mask: 0.1950 +2024/01/17 01:01:03 - mmengine - INFO - Epoch(train) [21][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:21:57 time: 0.7920 data_time: 0.0461 memory: 10179 loss: 0.7077 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0426 loss_cls: 0.1889 acc: 94.1406 loss_bbox: 0.2383 loss_mask: 0.2116 +2024/01/17 01:01:43 - mmengine - INFO - Epoch(train) [21][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:21:17 time: 0.8014 data_time: 0.0407 memory: 10516 loss: 0.6882 loss_rpn_cls: 0.0294 loss_rpn_bbox: 0.0365 loss_cls: 0.1788 acc: 90.8203 loss_bbox: 0.2185 loss_mask: 0.2250 +2024/01/17 01:02:23 - mmengine - INFO - Epoch(train) [21][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:20:38 time: 0.7942 data_time: 0.0322 memory: 9180 loss: 0.6380 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0280 loss_cls: 0.1671 acc: 96.8750 loss_bbox: 0.2193 loss_mask: 0.2040 +2024/01/17 01:03:03 - mmengine - INFO - Epoch(train) [21][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:19:58 time: 0.8021 data_time: 0.0299 memory: 10568 loss: 0.5716 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0260 loss_cls: 0.1469 acc: 94.3359 loss_bbox: 0.1726 loss_mask: 0.2122 +2024/01/17 01:03:42 - mmengine - INFO - Epoch(train) [21][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:19:19 time: 0.7896 data_time: 0.0310 memory: 10146 loss: 0.6096 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0288 loss_cls: 0.1692 acc: 92.1875 loss_bbox: 0.1822 loss_mask: 0.2102 +2024/01/17 01:04:23 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 01:04:23 - mmengine - INFO - Epoch(train) [21][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:18:39 time: 0.8072 data_time: 0.0295 memory: 9737 loss: 0.6556 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0319 loss_cls: 0.1589 acc: 99.2188 loss_bbox: 0.2007 loss_mask: 0.2450 +2024/01/17 01:05:02 - mmengine - INFO - Epoch(train) [21][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:18:00 time: 0.7860 data_time: 0.0283 memory: 9134 loss: 0.5791 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0326 loss_cls: 0.1437 acc: 91.4062 loss_bbox: 0.1940 loss_mask: 0.1853 +2024/01/17 01:05:42 - mmengine - INFO - Epoch(train) [21][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:17:20 time: 0.8044 data_time: 0.0380 memory: 10311 loss: 0.6956 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0408 loss_cls: 0.1910 acc: 95.3125 loss_bbox: 0.2252 loss_mask: 0.2104 +2024/01/17 01:06:22 - mmengine - INFO - Epoch(train) [21][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:16:41 time: 0.7938 data_time: 0.0329 memory: 10583 loss: 0.5958 loss_rpn_cls: 0.0291 loss_rpn_bbox: 0.0245 loss_cls: 0.1460 acc: 99.8047 loss_bbox: 0.1975 loss_mask: 0.1987 +2024/01/17 01:07:02 - mmengine - INFO - Epoch(train) [21][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:16:01 time: 0.7998 data_time: 0.0371 memory: 9459 loss: 0.6513 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0378 loss_cls: 0.1684 acc: 87.8906 loss_bbox: 0.2178 loss_mask: 0.2040 +2024/01/17 01:07:41 - mmengine - INFO - Epoch(train) [21][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:15:21 time: 0.7836 data_time: 0.0317 memory: 10568 loss: 0.6250 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0271 loss_cls: 0.1473 acc: 99.6094 loss_bbox: 0.2220 loss_mask: 0.2110 +2024/01/17 01:08:21 - mmengine - INFO - Epoch(train) [21][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:14:42 time: 0.7958 data_time: 0.0392 memory: 10715 loss: 0.6656 loss_rpn_cls: 0.0271 loss_rpn_bbox: 0.0324 loss_cls: 0.1740 acc: 89.2578 loss_bbox: 0.2248 loss_mask: 0.2073 +2024/01/17 01:09:01 - mmengine - INFO - Epoch(train) [21][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:14:02 time: 0.7968 data_time: 0.0329 memory: 10572 loss: 0.5773 loss_rpn_cls: 0.0332 loss_rpn_bbox: 0.0283 loss_cls: 0.1511 acc: 91.9922 loss_bbox: 0.1873 loss_mask: 0.1774 +2024/01/17 01:09:40 - mmengine - INFO - Epoch(train) [21][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:13:22 time: 0.7843 data_time: 0.0393 memory: 10572 loss: 0.6958 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0439 loss_cls: 0.1859 acc: 89.6484 loss_bbox: 0.2293 loss_mask: 0.2088 +2024/01/17 01:10:20 - mmengine - INFO - Epoch(train) [21][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:12:43 time: 0.7975 data_time: 0.0348 memory: 10572 loss: 0.5758 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0278 loss_cls: 0.1496 acc: 95.3125 loss_bbox: 0.2011 loss_mask: 0.1801 +2024/01/17 01:11:00 - mmengine - INFO - Epoch(train) [21][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:12:03 time: 0.7887 data_time: 0.0347 memory: 10712 loss: 0.5507 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0301 loss_cls: 0.1375 acc: 92.7734 loss_bbox: 0.1781 loss_mask: 0.1881 +2024/01/17 01:11:39 - mmengine - INFO - Epoch(train) [21][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:11:23 time: 0.7836 data_time: 0.0293 memory: 9734 loss: 0.5479 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0297 loss_cls: 0.1387 acc: 88.2812 loss_bbox: 0.1800 loss_mask: 0.1748 +2024/01/17 01:12:19 - mmengine - INFO - Epoch(train) [21][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:10:43 time: 0.7977 data_time: 0.0374 memory: 10572 loss: 0.6387 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0375 loss_cls: 0.1589 acc: 88.6719 loss_bbox: 0.2142 loss_mask: 0.2093 +2024/01/17 01:12:59 - mmengine - INFO - Epoch(train) [21][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:10:04 time: 0.8020 data_time: 0.0267 memory: 10971 loss: 0.4624 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0199 loss_cls: 0.1137 acc: 99.8047 loss_bbox: 0.1481 loss_mask: 0.1714 +2024/01/17 01:13:38 - mmengine - INFO - Epoch(train) [21][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:09:24 time: 0.7777 data_time: 0.0317 memory: 10139 loss: 0.6012 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0287 loss_cls: 0.1523 acc: 92.7734 loss_bbox: 0.1982 loss_mask: 0.1990 +2024/01/17 01:14:18 - mmengine - INFO - Epoch(train) [21][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:08:44 time: 0.7949 data_time: 0.0345 memory: 10067 loss: 0.6285 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0374 loss_cls: 0.1709 acc: 87.3047 loss_bbox: 0.2072 loss_mask: 0.1916 +2024/01/17 01:14:57 - mmengine - INFO - Epoch(train) [21][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:08:04 time: 0.7892 data_time: 0.0358 memory: 9606 loss: 0.5909 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0302 loss_cls: 0.1431 acc: 92.7734 loss_bbox: 0.1958 loss_mask: 0.2001 +2024/01/17 01:15:37 - mmengine - INFO - Epoch(train) [21][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:07:25 time: 0.7980 data_time: 0.0329 memory: 11080 loss: 0.5365 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0283 loss_cls: 0.1383 acc: 97.2656 loss_bbox: 0.1716 loss_mask: 0.1789 +2024/01/17 01:16:17 - mmengine - INFO - Epoch(train) [21][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:06:45 time: 0.7938 data_time: 0.0265 memory: 10572 loss: 0.4959 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0254 loss_cls: 0.1301 acc: 93.7500 loss_bbox: 0.1655 loss_mask: 0.1617 +2024/01/17 01:16:56 - mmengine - INFO - Epoch(train) [21][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:06:06 time: 0.7952 data_time: 0.0303 memory: 9736 loss: 0.5993 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0260 loss_cls: 0.1485 acc: 90.0391 loss_bbox: 0.1954 loss_mask: 0.2063 +2024/01/17 01:17:36 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 01:17:36 - mmengine - INFO - Epoch(train) [21][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:05:26 time: 0.7914 data_time: 0.0363 memory: 10572 loss: 0.6612 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0357 loss_cls: 0.1653 acc: 98.4375 loss_bbox: 0.2122 loss_mask: 0.2232 +2024/01/17 01:18:16 - mmengine - INFO - Epoch(train) [21][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:04:46 time: 0.7963 data_time: 0.0321 memory: 10572 loss: 0.6532 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0402 loss_cls: 0.1682 acc: 95.1172 loss_bbox: 0.2127 loss_mask: 0.2065 +2024/01/17 01:18:56 - mmengine - INFO - Epoch(train) [21][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:04:07 time: 0.8006 data_time: 0.0338 memory: 11102 loss: 0.6229 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0312 loss_cls: 0.1634 acc: 95.3125 loss_bbox: 0.2186 loss_mask: 0.1895 +2024/01/17 01:19:36 - mmengine - INFO - Epoch(train) [21][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:03:27 time: 0.7926 data_time: 0.0320 memory: 10067 loss: 0.5246 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0271 loss_cls: 0.1336 acc: 98.8281 loss_bbox: 0.1659 loss_mask: 0.1819 +2024/01/17 01:20:16 - mmengine - INFO - Epoch(train) [21][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:02:49 time: 0.8175 data_time: 0.0347 memory: 10408 loss: 0.5995 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0295 loss_cls: 0.1429 acc: 99.8047 loss_bbox: 0.1993 loss_mask: 0.2048 +2024/01/17 01:20:56 - mmengine - INFO - Epoch(train) [21][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:02:09 time: 0.7909 data_time: 0.0283 memory: 11102 loss: 0.4582 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0185 loss_cls: 0.1082 acc: 99.2188 loss_bbox: 0.1414 loss_mask: 0.1807 +2024/01/17 01:21:36 - mmengine - INFO - Epoch(train) [21][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:01:29 time: 0.7929 data_time: 0.0321 memory: 10568 loss: 0.5829 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0243 loss_cls: 0.1537 acc: 99.4141 loss_bbox: 0.2031 loss_mask: 0.1824 +2024/01/17 01:22:15 - mmengine - INFO - Epoch(train) [21][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:00:50 time: 0.7936 data_time: 0.0313 memory: 10572 loss: 0.5771 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0270 loss_cls: 0.1481 acc: 98.4375 loss_bbox: 0.1950 loss_mask: 0.1888 +2024/01/17 01:22:55 - mmengine - INFO - Epoch(train) [21][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 1:00:10 time: 0.7978 data_time: 0.0299 memory: 10113 loss: 0.5683 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0274 loss_cls: 0.1592 acc: 90.4297 loss_bbox: 0.1818 loss_mask: 0.1813 +2024/01/17 01:23:36 - mmengine - INFO - Epoch(train) [21][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:59:31 time: 0.8086 data_time: 0.0331 memory: 10568 loss: 0.6184 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0294 loss_cls: 0.1627 acc: 90.0391 loss_bbox: 0.2073 loss_mask: 0.1964 +2024/01/17 01:24:16 - mmengine - INFO - Epoch(train) [21][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:58:52 time: 0.7987 data_time: 0.0271 memory: 9601 loss: 0.5879 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0312 loss_cls: 0.1408 acc: 97.0703 loss_bbox: 0.1966 loss_mask: 0.2054 +2024/01/17 01:24:55 - mmengine - INFO - Epoch(train) [21][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:58:12 time: 0.7843 data_time: 0.0373 memory: 10324 loss: 0.6806 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0402 loss_cls: 0.1890 acc: 89.2578 loss_bbox: 0.2321 loss_mask: 0.1922 +2024/01/17 01:25:35 - mmengine - INFO - Epoch(train) [21][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:57:32 time: 0.7941 data_time: 0.0329 memory: 10225 loss: 0.5910 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0347 loss_cls: 0.1578 acc: 98.8281 loss_bbox: 0.1863 loss_mask: 0.1901 +2024/01/17 01:26:15 - mmengine - INFO - Epoch(train) [21][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:56:53 time: 0.8017 data_time: 0.0324 memory: 10568 loss: 0.5279 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0280 loss_cls: 0.1383 acc: 99.6094 loss_bbox: 0.1689 loss_mask: 0.1774 +2024/01/17 01:26:54 - mmengine - INFO - Epoch(train) [21][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:56:13 time: 0.7911 data_time: 0.0373 memory: 10176 loss: 0.6707 loss_rpn_cls: 0.0278 loss_rpn_bbox: 0.0377 loss_cls: 0.1729 acc: 92.3828 loss_bbox: 0.2228 loss_mask: 0.2096 +2024/01/17 01:27:34 - mmengine - INFO - Epoch(train) [21][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:55:33 time: 0.7895 data_time: 0.0261 memory: 10063 loss: 0.5229 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0191 loss_cls: 0.1310 acc: 91.0156 loss_bbox: 0.1659 loss_mask: 0.1982 +2024/01/17 01:28:14 - mmengine - INFO - Epoch(train) [21][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:54:54 time: 0.8051 data_time: 0.0304 memory: 10508 loss: 0.5616 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0323 loss_cls: 0.1365 acc: 99.6094 loss_bbox: 0.1871 loss_mask: 0.1847 +2024/01/17 01:28:54 - mmengine - INFO - Epoch(train) [21][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:54:14 time: 0.7922 data_time: 0.0400 memory: 11030 loss: 0.6746 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0354 loss_cls: 0.1874 acc: 79.1016 loss_bbox: 0.2238 loss_mask: 0.2032 +2024/01/17 01:29:34 - mmengine - INFO - Epoch(train) [21][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:53:35 time: 0.7948 data_time: 0.0372 memory: 11099 loss: 0.6575 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0316 loss_cls: 0.1653 acc: 100.0000 loss_bbox: 0.2255 loss_mask: 0.2072 +2024/01/17 01:30:14 - mmengine - INFO - Epoch(train) [21][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:52:55 time: 0.8017 data_time: 0.0352 memory: 10572 loss: 0.6096 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0297 loss_cls: 0.1569 acc: 87.6953 loss_bbox: 0.2034 loss_mask: 0.1987 +2024/01/17 01:30:54 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 01:30:54 - mmengine - INFO - Epoch(train) [21][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:52:16 time: 0.8006 data_time: 0.0310 memory: 10067 loss: 0.5513 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0298 loss_cls: 0.1298 acc: 96.2891 loss_bbox: 0.1738 loss_mask: 0.2030 +2024/01/17 01:31:33 - mmengine - INFO - Epoch(train) [21][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:51:36 time: 0.7946 data_time: 0.0354 memory: 10568 loss: 0.6877 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0391 loss_cls: 0.1842 acc: 85.9375 loss_bbox: 0.2383 loss_mask: 0.2017 +2024/01/17 01:32:13 - mmengine - INFO - Epoch(train) [21][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:50:57 time: 0.7948 data_time: 0.0264 memory: 11102 loss: 0.4597 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0198 loss_cls: 0.1034 acc: 96.4844 loss_bbox: 0.1553 loss_mask: 0.1729 +2024/01/17 01:32:53 - mmengine - INFO - Epoch(train) [21][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:50:17 time: 0.7910 data_time: 0.0331 memory: 10404 loss: 0.5516 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0280 loss_cls: 0.1376 acc: 89.8438 loss_bbox: 0.1915 loss_mask: 0.1752 +2024/01/17 01:33:33 - mmengine - INFO - Epoch(train) [21][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:49:37 time: 0.7984 data_time: 0.0364 memory: 10157 loss: 0.6414 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0310 loss_cls: 0.1708 acc: 98.2422 loss_bbox: 0.2021 loss_mask: 0.2196 +2024/01/17 01:34:13 - mmengine - INFO - Epoch(train) [21][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:48:58 time: 0.8046 data_time: 0.0393 memory: 10986 loss: 0.7009 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0420 loss_cls: 0.1704 acc: 86.7188 loss_bbox: 0.2272 loss_mask: 0.2289 +2024/01/17 01:34:52 - mmengine - INFO - Epoch(train) [21][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:48:18 time: 0.7810 data_time: 0.0351 memory: 9523 loss: 0.6672 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0345 loss_cls: 0.1838 acc: 92.7734 loss_bbox: 0.2246 loss_mask: 0.2035 +2024/01/17 01:35:32 - mmengine - INFO - Epoch(train) [21][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:47:39 time: 0.8040 data_time: 0.0338 memory: 10572 loss: 0.6231 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0338 loss_cls: 0.1629 acc: 97.0703 loss_bbox: 0.2071 loss_mask: 0.1953 +2024/01/17 01:36:12 - mmengine - INFO - Epoch(train) [21][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:46:59 time: 0.7834 data_time: 0.0354 memory: 9901 loss: 0.5758 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0288 loss_cls: 0.1495 acc: 96.2891 loss_bbox: 0.1849 loss_mask: 0.1952 +2024/01/17 01:36:51 - mmengine - INFO - Epoch(train) [21][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:46:19 time: 0.7907 data_time: 0.0326 memory: 10572 loss: 0.5845 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0297 loss_cls: 0.1470 acc: 99.6094 loss_bbox: 0.1933 loss_mask: 0.1934 +2024/01/17 01:37:31 - mmengine - INFO - Epoch(train) [21][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:45:39 time: 0.7887 data_time: 0.0327 memory: 10712 loss: 0.6336 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0302 loss_cls: 0.1760 acc: 98.2422 loss_bbox: 0.2160 loss_mask: 0.1938 +2024/01/17 01:38:10 - mmengine - INFO - Epoch(train) [21][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:44:59 time: 0.7815 data_time: 0.0308 memory: 10583 loss: 0.6783 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0377 loss_cls: 0.1919 acc: 98.8281 loss_bbox: 0.2182 loss_mask: 0.2068 +2024/01/17 01:38:50 - mmengine - INFO - Epoch(train) [21][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:44:20 time: 0.8053 data_time: 0.0276 memory: 9397 loss: 0.5307 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0189 loss_cls: 0.1344 acc: 99.0234 loss_bbox: 0.1808 loss_mask: 0.1860 +2024/01/17 01:39:29 - mmengine - INFO - Epoch(train) [21][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:43:40 time: 0.7884 data_time: 0.0318 memory: 10304 loss: 0.5294 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0275 loss_cls: 0.1410 acc: 99.8047 loss_bbox: 0.1662 loss_mask: 0.1767 +2024/01/17 01:40:10 - mmengine - INFO - Epoch(train) [21][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:43:01 time: 0.8178 data_time: 0.0282 memory: 9536 loss: 0.5526 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0269 loss_cls: 0.1353 acc: 95.3125 loss_bbox: 0.1756 loss_mask: 0.1997 +2024/01/17 01:40:50 - mmengine - INFO - Epoch(train) [21][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:42:21 time: 0.7877 data_time: 0.0321 memory: 10168 loss: 0.5800 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0378 loss_cls: 0.1455 acc: 91.2109 loss_bbox: 0.1889 loss_mask: 0.1857 +2024/01/17 01:41:29 - mmengine - INFO - Epoch(train) [21][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:41:42 time: 0.7897 data_time: 0.0349 memory: 10582 loss: 0.6437 loss_rpn_cls: 0.0264 loss_rpn_bbox: 0.0336 loss_cls: 0.1736 acc: 85.1562 loss_bbox: 0.2180 loss_mask: 0.1921 +2024/01/17 01:42:08 - mmengine - INFO - Epoch(train) [21][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:41:01 time: 0.7800 data_time: 0.0370 memory: 10568 loss: 0.6207 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0378 loss_cls: 0.1624 acc: 94.7266 loss_bbox: 0.2062 loss_mask: 0.1955 +2024/01/17 01:42:49 - mmengine - INFO - Epoch(train) [21][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:40:22 time: 0.8067 data_time: 0.0384 memory: 11514 loss: 0.6992 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0356 loss_cls: 0.1891 acc: 88.2812 loss_bbox: 0.2444 loss_mask: 0.2099 +2024/01/17 01:43:28 - mmengine - INFO - Epoch(train) [21][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:39:43 time: 0.7972 data_time: 0.0324 memory: 10067 loss: 0.6649 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0385 loss_cls: 0.1762 acc: 99.0234 loss_bbox: 0.2184 loss_mask: 0.2040 +2024/01/17 01:44:08 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 01:44:08 - mmengine - INFO - Epoch(train) [21][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:39:03 time: 0.7865 data_time: 0.0356 memory: 9651 loss: 0.6613 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0397 loss_cls: 0.1791 acc: 86.3281 loss_bbox: 0.2183 loss_mask: 0.2002 +2024/01/17 01:44:47 - mmengine - INFO - Epoch(train) [21][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:38:23 time: 0.7863 data_time: 0.0317 memory: 10139 loss: 0.5414 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0269 loss_cls: 0.1241 acc: 92.7734 loss_bbox: 0.1775 loss_mask: 0.1969 +2024/01/17 01:45:26 - mmengine - INFO - Epoch(train) [21][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:37:43 time: 0.7860 data_time: 0.0279 memory: 9297 loss: 0.6178 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0263 loss_cls: 0.1757 acc: 98.2422 loss_bbox: 0.1945 loss_mask: 0.2002 +2024/01/17 01:46:07 - mmengine - INFO - Epoch(train) [21][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:37:04 time: 0.8022 data_time: 0.0310 memory: 10572 loss: 0.5885 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0297 loss_cls: 0.1545 acc: 86.9141 loss_bbox: 0.2013 loss_mask: 0.1778 +2024/01/17 01:46:46 - mmengine - INFO - Epoch(train) [21][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:36:24 time: 0.7955 data_time: 0.0350 memory: 10572 loss: 0.6280 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0337 loss_cls: 0.1780 acc: 88.0859 loss_bbox: 0.2046 loss_mask: 0.1925 +2024/01/17 01:47:26 - mmengine - INFO - Epoch(train) [21][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:35:45 time: 0.7968 data_time: 0.0330 memory: 9601 loss: 0.6307 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0325 loss_cls: 0.1587 acc: 93.3594 loss_bbox: 0.2153 loss_mask: 0.2086 +2024/01/17 01:48:06 - mmengine - INFO - Epoch(train) [21][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:35:05 time: 0.7880 data_time: 0.0364 memory: 10298 loss: 0.6282 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0346 loss_cls: 0.1583 acc: 92.9688 loss_bbox: 0.2110 loss_mask: 0.1984 +2024/01/17 01:48:45 - mmengine - INFO - Epoch(train) [21][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:34:25 time: 0.7890 data_time: 0.0284 memory: 10568 loss: 0.5569 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0243 loss_cls: 0.1404 acc: 88.2812 loss_bbox: 0.1847 loss_mask: 0.1914 +2024/01/17 01:49:24 - mmengine - INFO - Epoch(train) [21][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:33:45 time: 0.7860 data_time: 0.0356 memory: 10433 loss: 0.6390 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0287 loss_cls: 0.1619 acc: 98.4375 loss_bbox: 0.2157 loss_mask: 0.2138 +2024/01/17 01:50:05 - mmengine - INFO - Epoch(train) [21][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:33:06 time: 0.8113 data_time: 0.0285 memory: 10788 loss: 0.6566 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0312 loss_cls: 0.1665 acc: 88.4766 loss_bbox: 0.2281 loss_mask: 0.2096 +2024/01/17 01:50:45 - mmengine - INFO - Epoch(train) [21][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:32:26 time: 0.7904 data_time: 0.0308 memory: 9947 loss: 0.6296 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0306 loss_cls: 0.1640 acc: 97.8516 loss_bbox: 0.2195 loss_mask: 0.1894 +2024/01/17 01:51:25 - mmengine - INFO - Epoch(train) [21][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:31:47 time: 0.7997 data_time: 0.0354 memory: 11102 loss: 0.6819 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0312 loss_cls: 0.1886 acc: 97.6562 loss_bbox: 0.2262 loss_mask: 0.2116 +2024/01/17 01:52:05 - mmengine - INFO - Epoch(train) [21][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:31:08 time: 0.8053 data_time: 0.0309 memory: 11101 loss: 0.6042 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0330 loss_cls: 0.1573 acc: 95.5078 loss_bbox: 0.2034 loss_mask: 0.1862 +2024/01/17 01:52:45 - mmengine - INFO - Epoch(train) [21][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:30:28 time: 0.7985 data_time: 0.0329 memory: 10572 loss: 0.6158 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0313 loss_cls: 0.1570 acc: 87.1094 loss_bbox: 0.2067 loss_mask: 0.2025 +2024/01/17 01:53:24 - mmengine - INFO - Epoch(train) [21][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:29:48 time: 0.7831 data_time: 0.0303 memory: 10734 loss: 0.5992 loss_rpn_cls: 0.0343 loss_rpn_bbox: 0.0273 loss_cls: 0.1509 acc: 99.4141 loss_bbox: 0.1856 loss_mask: 0.2011 +2024/01/17 01:54:03 - mmengine - INFO - Epoch(train) [21][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:29:08 time: 0.7834 data_time: 0.0346 memory: 10312 loss: 0.5930 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0327 loss_cls: 0.1495 acc: 98.8281 loss_bbox: 0.1924 loss_mask: 0.1963 +2024/01/17 01:54:43 - mmengine - INFO - Epoch(train) [21][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:28:29 time: 0.7949 data_time: 0.0292 memory: 9459 loss: 0.5634 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0239 loss_cls: 0.1416 acc: 99.0234 loss_bbox: 0.1895 loss_mask: 0.1937 +2024/01/17 01:55:23 - mmengine - INFO - Epoch(train) [21][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:27:49 time: 0.7903 data_time: 0.0348 memory: 8784 loss: 0.5852 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0254 loss_cls: 0.1499 acc: 97.0703 loss_bbox: 0.1972 loss_mask: 0.1891 +2024/01/17 01:56:03 - mmengine - INFO - Epoch(train) [21][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:27:09 time: 0.7991 data_time: 0.0349 memory: 10568 loss: 0.6552 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0305 loss_cls: 0.1589 acc: 99.0234 loss_bbox: 0.2228 loss_mask: 0.2172 +2024/01/17 01:56:43 - mmengine - INFO - Epoch(train) [21][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:26:30 time: 0.8031 data_time: 0.0349 memory: 10572 loss: 0.6465 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0307 loss_cls: 0.1766 acc: 96.6797 loss_bbox: 0.2151 loss_mask: 0.2026 +2024/01/17 01:57:23 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 01:57:23 - mmengine - INFO - Epoch(train) [21][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:25:51 time: 0.8003 data_time: 0.0381 memory: 10583 loss: 0.6407 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0354 loss_cls: 0.1790 acc: 99.2188 loss_bbox: 0.2028 loss_mask: 0.1946 +2024/01/17 01:58:02 - mmengine - INFO - Epoch(train) [21][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:25:11 time: 0.7819 data_time: 0.0312 memory: 10299 loss: 0.5674 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0253 loss_cls: 0.1562 acc: 96.4844 loss_bbox: 0.1975 loss_mask: 0.1703 +2024/01/17 01:58:42 - mmengine - INFO - Epoch(train) [21][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:24:31 time: 0.7947 data_time: 0.0342 memory: 10423 loss: 0.6505 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0302 loss_cls: 0.1670 acc: 93.7500 loss_bbox: 0.2233 loss_mask: 0.2131 +2024/01/17 01:59:21 - mmengine - INFO - Epoch(train) [21][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:23:51 time: 0.7961 data_time: 0.0377 memory: 10568 loss: 0.6623 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0389 loss_cls: 0.1694 acc: 87.8906 loss_bbox: 0.2341 loss_mask: 0.2048 +2024/01/17 02:00:02 - mmengine - INFO - Epoch(train) [21][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:23:12 time: 0.8036 data_time: 0.0358 memory: 10572 loss: 0.6534 loss_rpn_cls: 0.0308 loss_rpn_bbox: 0.0361 loss_cls: 0.1679 acc: 90.4297 loss_bbox: 0.2154 loss_mask: 0.2032 +2024/01/17 02:00:42 - mmengine - INFO - Epoch(train) [21][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:22:33 time: 0.8001 data_time: 0.0357 memory: 10067 loss: 0.5926 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0324 loss_cls: 0.1405 acc: 92.1875 loss_bbox: 0.2004 loss_mask: 0.1960 +2024/01/17 02:01:22 - mmengine - INFO - Epoch(train) [21][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:21:54 time: 0.8080 data_time: 0.0390 memory: 10133 loss: 0.6935 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0404 loss_cls: 0.1878 acc: 89.2578 loss_bbox: 0.2325 loss_mask: 0.2052 +2024/01/17 02:02:02 - mmengine - INFO - Epoch(train) [21][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:21:14 time: 0.7876 data_time: 0.0364 memory: 9736 loss: 0.7249 loss_rpn_cls: 0.0310 loss_rpn_bbox: 0.0437 loss_cls: 0.1875 acc: 88.8672 loss_bbox: 0.2457 loss_mask: 0.2169 +2024/01/17 02:02:41 - mmengine - INFO - Epoch(train) [21][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:20:34 time: 0.7930 data_time: 0.0403 memory: 10582 loss: 0.7170 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0431 loss_cls: 0.1932 acc: 96.2891 loss_bbox: 0.2429 loss_mask: 0.2115 +2024/01/17 02:03:21 - mmengine - INFO - Epoch(train) [21][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:19:54 time: 0.7879 data_time: 0.0293 memory: 10744 loss: 0.5552 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0247 loss_cls: 0.1468 acc: 99.6094 loss_bbox: 0.1857 loss_mask: 0.1804 +2024/01/17 02:04:00 - mmengine - INFO - Epoch(train) [21][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:19:14 time: 0.7794 data_time: 0.0349 memory: 9459 loss: 0.6141 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0358 loss_cls: 0.1590 acc: 99.8047 loss_bbox: 0.1890 loss_mask: 0.2049 +2024/01/17 02:04:40 - mmengine - INFO - Epoch(train) [21][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:18:35 time: 0.8044 data_time: 0.0386 memory: 10572 loss: 0.6639 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0362 loss_cls: 0.1710 acc: 87.8906 loss_bbox: 0.2287 loss_mask: 0.2012 +2024/01/17 02:05:19 - mmengine - INFO - Epoch(train) [21][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:17:55 time: 0.7835 data_time: 0.0326 memory: 10299 loss: 0.6237 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0287 loss_cls: 0.1517 acc: 88.2812 loss_bbox: 0.2039 loss_mask: 0.2132 +2024/01/17 02:05:59 - mmengine - INFO - Epoch(train) [21][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:17:15 time: 0.7910 data_time: 0.0305 memory: 10249 loss: 0.6168 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0322 loss_cls: 0.1684 acc: 96.8750 loss_bbox: 0.2045 loss_mask: 0.1911 +2024/01/17 02:06:38 - mmengine - INFO - Epoch(train) [21][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:16:35 time: 0.7833 data_time: 0.0274 memory: 9253 loss: 0.4947 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0257 loss_cls: 0.1177 acc: 96.6797 loss_bbox: 0.1608 loss_mask: 0.1694 +2024/01/17 02:07:17 - mmengine - INFO - Epoch(train) [21][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:15:55 time: 0.7900 data_time: 0.0331 memory: 10067 loss: 0.5784 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0259 loss_cls: 0.1368 acc: 98.2422 loss_bbox: 0.1861 loss_mask: 0.2106 +2024/01/17 02:07:57 - mmengine - INFO - Epoch(train) [21][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:15:16 time: 0.8006 data_time: 0.0280 memory: 10830 loss: 0.4956 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0231 loss_cls: 0.1211 acc: 96.2891 loss_bbox: 0.1595 loss_mask: 0.1715 +2024/01/17 02:08:38 - mmengine - INFO - Epoch(train) [21][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:14:37 time: 0.8081 data_time: 0.0283 memory: 10414 loss: 0.5218 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0274 loss_cls: 0.1290 acc: 82.0312 loss_bbox: 0.1703 loss_mask: 0.1779 +2024/01/17 02:09:18 - mmengine - INFO - Epoch(train) [21][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:13:57 time: 0.7953 data_time: 0.0330 memory: 9793 loss: 0.6024 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0318 loss_cls: 0.1625 acc: 91.6016 loss_bbox: 0.1992 loss_mask: 0.1913 +2024/01/17 02:09:42 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 02:09:42 - mmengine - INFO - Saving checkpoint at 21 epochs +2024/01/17 02:09:56 - mmengine - INFO - Epoch(val) [21][ 50/313] eta: 0:00:56 time: 0.2133 data_time: 0.0524 memory: 9847 +2024/01/17 02:10:05 - mmengine - INFO - Epoch(val) [21][100/313] eta: 0:00:43 time: 0.1917 data_time: 0.0310 memory: 2388 +2024/01/17 02:10:15 - mmengine - INFO - Epoch(val) [21][150/313] eta: 0:00:32 time: 0.1965 data_time: 0.0384 memory: 2431 +2024/01/17 02:10:25 - mmengine - INFO - Epoch(val) [21][200/313] eta: 0:00:22 time: 0.1909 data_time: 0.0297 memory: 2403 +2024/01/17 02:10:34 - mmengine - INFO - Epoch(val) [21][250/313] eta: 0:00:12 time: 0.1782 data_time: 0.0220 memory: 2431 +2024/01/17 02:10:43 - mmengine - INFO - Epoch(val) [21][300/313] eta: 0:00:02 time: 0.1951 data_time: 0.0345 memory: 2403 +2024/01/17 02:10:55 - mmengine - INFO - Evaluating bbox... +2024/01/17 02:11:19 - mmengine - INFO - bbox_mAP_copypaste: 0.470 0.689 0.515 0.306 0.508 0.616 +2024/01/17 02:11:19 - mmengine - INFO - Evaluating segm... +2024/01/17 02:11:45 - mmengine - INFO - segm_mAP_copypaste: 0.420 0.657 0.451 0.226 0.451 0.611 +2024/01/17 02:11:45 - mmengine - INFO - Epoch(val) [21][313/313] coco/bbox_mAP: 0.4700 coco/bbox_mAP_50: 0.6890 coco/bbox_mAP_75: 0.5150 coco/bbox_mAP_s: 0.3060 coco/bbox_mAP_m: 0.5080 coco/bbox_mAP_l: 0.6160 coco/segm_mAP: 0.4200 coco/segm_mAP_50: 0.6570 coco/segm_mAP_75: 0.4510 coco/segm_mAP_s: 0.2260 coco/segm_mAP_m: 0.4510 coco/segm_mAP_l: 0.6110 data_time: 0.0334 time: 0.1928 +2024/01/17 02:12:26 - mmengine - INFO - Epoch(train) [22][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:12:54 time: 0.8072 data_time: 0.0383 memory: 9949 loss: 0.6682 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0395 loss_cls: 0.1777 acc: 97.2656 loss_bbox: 0.2224 loss_mask: 0.2017 +2024/01/17 02:12:42 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 02:13:06 - mmengine - INFO - Epoch(train) [22][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:12:15 time: 0.8034 data_time: 0.0345 memory: 10568 loss: 0.5452 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0271 loss_cls: 0.1311 acc: 89.6484 loss_bbox: 0.1740 loss_mask: 0.1939 +2024/01/17 02:13:46 - mmengine - INFO - Epoch(train) [22][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:11:35 time: 0.7977 data_time: 0.0329 memory: 10572 loss: 0.5240 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0323 loss_cls: 0.1389 acc: 96.4844 loss_bbox: 0.1549 loss_mask: 0.1765 +2024/01/17 02:14:26 - mmengine - INFO - Epoch(train) [22][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:10:56 time: 0.8012 data_time: 0.0350 memory: 9599 loss: 0.5703 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0288 loss_cls: 0.1499 acc: 96.8750 loss_bbox: 0.1852 loss_mask: 0.1904 +2024/01/17 02:15:05 - mmengine - INFO - Epoch(train) [22][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:10:16 time: 0.7902 data_time: 0.0310 memory: 10106 loss: 0.6049 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0270 loss_cls: 0.1581 acc: 96.2891 loss_bbox: 0.2070 loss_mask: 0.1904 +2024/01/17 02:15:45 - mmengine - INFO - Epoch(train) [22][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:09:36 time: 0.7865 data_time: 0.0320 memory: 10583 loss: 0.5828 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0278 loss_cls: 0.1535 acc: 100.0000 loss_bbox: 0.1943 loss_mask: 0.1915 +2024/01/17 02:16:25 - mmengine - INFO - Epoch(train) [22][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:08:57 time: 0.8079 data_time: 0.0348 memory: 11037 loss: 0.6054 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0315 loss_cls: 0.1572 acc: 98.6328 loss_bbox: 0.2006 loss_mask: 0.1979 +2024/01/17 02:17:05 - mmengine - INFO - Epoch(train) [22][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:08:18 time: 0.7983 data_time: 0.0316 memory: 9734 loss: 0.5887 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0373 loss_cls: 0.1542 acc: 93.9453 loss_bbox: 0.1919 loss_mask: 0.1866 +2024/01/17 02:17:46 - mmengine - INFO - Epoch(train) [22][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:07:39 time: 0.8126 data_time: 0.0323 memory: 9839 loss: 0.6028 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0324 loss_cls: 0.1570 acc: 99.6094 loss_bbox: 0.2009 loss_mask: 0.1952 +2024/01/17 02:18:26 - mmengine - INFO - Epoch(train) [22][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:06:59 time: 0.7952 data_time: 0.0372 memory: 10572 loss: 0.5828 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0297 loss_cls: 0.1489 acc: 80.4688 loss_bbox: 0.1984 loss_mask: 0.1853 +2024/01/17 02:19:05 - mmengine - INFO - Epoch(train) [22][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:06:20 time: 0.7931 data_time: 0.0348 memory: 10568 loss: 0.5884 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0295 loss_cls: 0.1390 acc: 90.2344 loss_bbox: 0.2020 loss_mask: 0.2033 +2024/01/17 02:19:44 - mmengine - INFO - Epoch(train) [22][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:05:40 time: 0.7835 data_time: 0.0342 memory: 10107 loss: 0.6622 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0341 loss_cls: 0.1653 acc: 96.8750 loss_bbox: 0.2280 loss_mask: 0.2122 +2024/01/17 02:20:24 - mmengine - INFO - Epoch(train) [22][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:04:59 time: 0.7812 data_time: 0.0318 memory: 10788 loss: 0.6041 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0294 loss_cls: 0.1682 acc: 96.0938 loss_bbox: 0.2017 loss_mask: 0.1881 +2024/01/17 02:21:03 - mmengine - INFO - Epoch(train) [22][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:04:19 time: 0.7834 data_time: 0.0321 memory: 9512 loss: 0.6425 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0297 loss_cls: 0.1822 acc: 97.6562 loss_bbox: 0.2111 loss_mask: 0.2032 +2024/01/17 02:21:43 - mmengine - INFO - Epoch(train) [22][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:03:40 time: 0.7974 data_time: 0.0372 memory: 11517 loss: 0.6610 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0333 loss_cls: 0.1684 acc: 99.4141 loss_bbox: 0.2369 loss_mask: 0.2036 +2024/01/17 02:22:22 - mmengine - INFO - Epoch(train) [22][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:03:00 time: 0.7925 data_time: 0.0335 memory: 9601 loss: 0.5505 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0264 loss_cls: 0.1393 acc: 92.7734 loss_bbox: 0.1816 loss_mask: 0.1852 +2024/01/17 02:23:02 - mmengine - INFO - Epoch(train) [22][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:02:21 time: 0.7944 data_time: 0.0364 memory: 10986 loss: 0.6501 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0347 loss_cls: 0.1606 acc: 98.4375 loss_bbox: 0.2229 loss_mask: 0.2070 +2024/01/17 02:23:42 - mmengine - INFO - Epoch(train) [22][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:01:41 time: 0.7958 data_time: 0.0304 memory: 10508 loss: 0.5739 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0285 loss_cls: 0.1423 acc: 96.8750 loss_bbox: 0.2031 loss_mask: 0.1832 +2024/01/17 02:24:21 - mmengine - INFO - Epoch(train) [22][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:01:01 time: 0.7880 data_time: 0.0330 memory: 10572 loss: 0.5621 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0281 loss_cls: 0.1536 acc: 99.8047 loss_bbox: 0.1863 loss_mask: 0.1790 +2024/01/17 02:25:00 - mmengine - INFO - Epoch(train) [22][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 1 day, 0:00:21 time: 0.7799 data_time: 0.0303 memory: 10067 loss: 0.5670 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0313 loss_cls: 0.1515 acc: 98.8281 loss_bbox: 0.1727 loss_mask: 0.1921 +2024/01/17 02:25:41 - mmengine - INFO - Epoch(train) [22][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:59:42 time: 0.8098 data_time: 0.0312 memory: 10067 loss: 0.5577 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0297 loss_cls: 0.1354 acc: 99.0234 loss_bbox: 0.1815 loss_mask: 0.1900 +2024/01/17 02:25:57 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 02:26:20 - mmengine - INFO - Epoch(train) [22][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:59:02 time: 0.7875 data_time: 0.0286 memory: 9737 loss: 0.5607 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0280 loss_cls: 0.1385 acc: 98.0469 loss_bbox: 0.1827 loss_mask: 0.1933 +2024/01/17 02:27:00 - mmengine - INFO - Epoch(train) [22][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:58:23 time: 0.7967 data_time: 0.0296 memory: 9793 loss: 0.5682 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0250 loss_cls: 0.1463 acc: 98.8281 loss_bbox: 0.1797 loss_mask: 0.1921 +2024/01/17 02:27:40 - mmengine - INFO - Epoch(train) [22][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:57:43 time: 0.7921 data_time: 0.0330 memory: 9736 loss: 0.5815 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0263 loss_cls: 0.1538 acc: 99.0234 loss_bbox: 0.1968 loss_mask: 0.1836 +2024/01/17 02:28:20 - mmengine - INFO - Epoch(train) [22][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:57:04 time: 0.8013 data_time: 0.0345 memory: 11022 loss: 0.5189 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0272 loss_cls: 0.1318 acc: 99.8047 loss_bbox: 0.1782 loss_mask: 0.1684 +2024/01/17 02:28:59 - mmengine - INFO - Epoch(train) [22][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:56:23 time: 0.7825 data_time: 0.0368 memory: 11102 loss: 0.6862 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0405 loss_cls: 0.1792 acc: 86.9141 loss_bbox: 0.2394 loss_mask: 0.2036 +2024/01/17 02:29:39 - mmengine - INFO - Epoch(train) [22][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:55:44 time: 0.7941 data_time: 0.0274 memory: 10998 loss: 0.4699 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0206 loss_cls: 0.1250 acc: 92.5781 loss_bbox: 0.1568 loss_mask: 0.1534 +2024/01/17 02:30:18 - mmengine - INFO - Epoch(train) [22][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:55:04 time: 0.7797 data_time: 0.0337 memory: 10159 loss: 0.5754 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0259 loss_cls: 0.1603 acc: 99.8047 loss_bbox: 0.1801 loss_mask: 0.1871 +2024/01/17 02:30:57 - mmengine - INFO - Epoch(train) [22][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:54:24 time: 0.7927 data_time: 0.0279 memory: 9445 loss: 0.5326 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0181 loss_cls: 0.1388 acc: 98.6328 loss_bbox: 0.1685 loss_mask: 0.1886 +2024/01/17 02:31:37 - mmengine - INFO - Epoch(train) [22][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:53:45 time: 0.7989 data_time: 0.0410 memory: 10251 loss: 0.6941 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0374 loss_cls: 0.1901 acc: 94.5312 loss_bbox: 0.2408 loss_mask: 0.2021 +2024/01/17 02:32:16 - mmengine - INFO - Epoch(train) [22][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:53:04 time: 0.7812 data_time: 0.0341 memory: 10572 loss: 0.7579 loss_rpn_cls: 0.0292 loss_rpn_bbox: 0.0501 loss_cls: 0.2089 acc: 93.3594 loss_bbox: 0.2597 loss_mask: 0.2101 +2024/01/17 02:32:56 - mmengine - INFO - Epoch(train) [22][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:52:25 time: 0.7861 data_time: 0.0358 memory: 9850 loss: 0.5931 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0318 loss_cls: 0.1717 acc: 100.0000 loss_bbox: 0.1944 loss_mask: 0.1759 +2024/01/17 02:33:36 - mmengine - INFO - Epoch(train) [22][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:51:45 time: 0.8088 data_time: 0.0311 memory: 10571 loss: 0.5878 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0287 loss_cls: 0.1560 acc: 96.8750 loss_bbox: 0.1941 loss_mask: 0.1952 +2024/01/17 02:34:16 - mmengine - INFO - Epoch(train) [22][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:51:06 time: 0.7913 data_time: 0.0333 memory: 10571 loss: 0.6127 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0303 loss_cls: 0.1631 acc: 90.8203 loss_bbox: 0.2064 loss_mask: 0.1905 +2024/01/17 02:34:56 - mmengine - INFO - Epoch(train) [22][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:50:26 time: 0.7942 data_time: 0.0346 memory: 9346 loss: 0.5464 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0303 loss_cls: 0.1452 acc: 95.1172 loss_bbox: 0.1774 loss_mask: 0.1656 +2024/01/17 02:35:34 - mmengine - INFO - Epoch(train) [22][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:49:46 time: 0.7761 data_time: 0.0377 memory: 10067 loss: 0.6357 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0344 loss_cls: 0.1654 acc: 95.8984 loss_bbox: 0.2122 loss_mask: 0.2014 +2024/01/17 02:36:15 - mmengine - INFO - Epoch(train) [22][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:49:07 time: 0.8052 data_time: 0.0332 memory: 10361 loss: 0.5736 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0249 loss_cls: 0.1604 acc: 85.3516 loss_bbox: 0.1804 loss_mask: 0.1878 +2024/01/17 02:36:54 - mmengine - INFO - Epoch(train) [22][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:48:27 time: 0.7916 data_time: 0.0362 memory: 9253 loss: 0.6351 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0358 loss_cls: 0.1666 acc: 92.1875 loss_bbox: 0.2107 loss_mask: 0.1993 +2024/01/17 02:37:34 - mmengine - INFO - Epoch(train) [22][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:47:47 time: 0.7930 data_time: 0.0306 memory: 10278 loss: 0.5908 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0267 loss_cls: 0.1577 acc: 90.8203 loss_bbox: 0.1954 loss_mask: 0.1948 +2024/01/17 02:38:14 - mmengine - INFO - Epoch(train) [22][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:47:08 time: 0.8035 data_time: 0.0350 memory: 10572 loss: 0.5638 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0318 loss_cls: 0.1408 acc: 97.2656 loss_bbox: 0.1936 loss_mask: 0.1785 +2024/01/17 02:38:54 - mmengine - INFO - Epoch(train) [22][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:46:28 time: 0.7992 data_time: 0.0360 memory: 10067 loss: 0.6520 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0380 loss_cls: 0.1686 acc: 99.8047 loss_bbox: 0.2239 loss_mask: 0.1990 +2024/01/17 02:39:09 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 02:39:34 - mmengine - INFO - Epoch(train) [22][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:45:49 time: 0.7889 data_time: 0.0384 memory: 9864 loss: 0.6389 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0322 loss_cls: 0.1674 acc: 91.6016 loss_bbox: 0.2170 loss_mask: 0.1957 +2024/01/17 02:40:13 - mmengine - INFO - Epoch(train) [22][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:45:09 time: 0.7892 data_time: 0.0289 memory: 9347 loss: 0.4947 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0215 loss_cls: 0.1236 acc: 95.5078 loss_bbox: 0.1598 loss_mask: 0.1748 +2024/01/17 02:40:53 - mmengine - INFO - Epoch(train) [22][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:44:29 time: 0.7931 data_time: 0.0334 memory: 10572 loss: 0.6466 loss_rpn_cls: 0.0331 loss_rpn_bbox: 0.0398 loss_cls: 0.1619 acc: 90.8203 loss_bbox: 0.2144 loss_mask: 0.1975 +2024/01/17 02:41:32 - mmengine - INFO - Epoch(train) [22][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:43:49 time: 0.7913 data_time: 0.0296 memory: 10067 loss: 0.5287 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0207 loss_cls: 0.1418 acc: 99.8047 loss_bbox: 0.1692 loss_mask: 0.1823 +2024/01/17 02:42:13 - mmengine - INFO - Epoch(train) [22][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:43:10 time: 0.8081 data_time: 0.0396 memory: 10572 loss: 0.6985 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0332 loss_cls: 0.1932 acc: 99.2188 loss_bbox: 0.2458 loss_mask: 0.2023 +2024/01/17 02:42:53 - mmengine - INFO - Epoch(train) [22][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:42:31 time: 0.8036 data_time: 0.0309 memory: 9613 loss: 0.5167 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0213 loss_cls: 0.1221 acc: 98.0469 loss_bbox: 0.1691 loss_mask: 0.1895 +2024/01/17 02:43:32 - mmengine - INFO - Epoch(train) [22][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:41:51 time: 0.7871 data_time: 0.0284 memory: 9551 loss: 0.5627 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0272 loss_cls: 0.1373 acc: 91.4062 loss_bbox: 0.1840 loss_mask: 0.1970 +2024/01/17 02:44:12 - mmengine - INFO - Epoch(train) [22][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:41:11 time: 0.7921 data_time: 0.0323 memory: 9530 loss: 0.5964 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0293 loss_cls: 0.1501 acc: 90.6250 loss_bbox: 0.1938 loss_mask: 0.2075 +2024/01/17 02:44:51 - mmengine - INFO - Epoch(train) [22][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:40:32 time: 0.7893 data_time: 0.0337 memory: 9599 loss: 0.6306 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0315 loss_cls: 0.1759 acc: 93.5547 loss_bbox: 0.1928 loss_mask: 0.2127 +2024/01/17 02:45:32 - mmengine - INFO - Epoch(train) [22][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:39:52 time: 0.8006 data_time: 0.0342 memory: 10207 loss: 0.6528 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0339 loss_cls: 0.1675 acc: 85.9375 loss_bbox: 0.2279 loss_mask: 0.1998 +2024/01/17 02:46:11 - mmengine - INFO - Epoch(train) [22][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:39:12 time: 0.7895 data_time: 0.0293 memory: 10243 loss: 0.4922 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0162 loss_cls: 0.1087 acc: 97.6562 loss_bbox: 0.1539 loss_mask: 0.2022 +2024/01/17 02:46:50 - mmengine - INFO - Epoch(train) [22][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:38:33 time: 0.7867 data_time: 0.0322 memory: 9417 loss: 0.5552 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0286 loss_cls: 0.1471 acc: 85.5469 loss_bbox: 0.1778 loss_mask: 0.1795 +2024/01/17 02:47:30 - mmengine - INFO - Epoch(train) [22][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:37:53 time: 0.7912 data_time: 0.0326 memory: 10067 loss: 0.5955 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0348 loss_cls: 0.1707 acc: 80.2734 loss_bbox: 0.1941 loss_mask: 0.1771 +2024/01/17 02:48:11 - mmengine - INFO - Epoch(train) [22][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:37:14 time: 0.8149 data_time: 0.0368 memory: 9702 loss: 0.6942 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0345 loss_cls: 0.1908 acc: 99.4141 loss_bbox: 0.2327 loss_mask: 0.2161 +2024/01/17 02:48:50 - mmengine - INFO - Epoch(train) [22][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:36:34 time: 0.7892 data_time: 0.0321 memory: 10508 loss: 0.5409 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0228 loss_cls: 0.1401 acc: 90.4297 loss_bbox: 0.1817 loss_mask: 0.1826 +2024/01/17 02:49:30 - mmengine - INFO - Epoch(train) [22][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:35:55 time: 0.7978 data_time: 0.0313 memory: 9902 loss: 0.5707 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0282 loss_cls: 0.1409 acc: 98.6328 loss_bbox: 0.1885 loss_mask: 0.1945 +2024/01/17 02:50:10 - mmengine - INFO - Epoch(train) [22][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:35:15 time: 0.7872 data_time: 0.0329 memory: 10013 loss: 0.6371 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0345 loss_cls: 0.1766 acc: 98.0469 loss_bbox: 0.2137 loss_mask: 0.1903 +2024/01/17 02:50:49 - mmengine - INFO - Epoch(train) [22][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:34:35 time: 0.7927 data_time: 0.0339 memory: 10568 loss: 0.6395 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0339 loss_cls: 0.1794 acc: 90.4297 loss_bbox: 0.2108 loss_mask: 0.1898 +2024/01/17 02:51:28 - mmengine - INFO - Epoch(train) [22][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:33:55 time: 0.7766 data_time: 0.0309 memory: 11102 loss: 0.6389 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0287 loss_cls: 0.1587 acc: 90.4297 loss_bbox: 0.2315 loss_mask: 0.2025 +2024/01/17 02:52:08 - mmengine - INFO - Epoch(train) [22][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:33:16 time: 0.8049 data_time: 0.0299 memory: 11102 loss: 0.5298 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0237 loss_cls: 0.1309 acc: 85.7422 loss_bbox: 0.1765 loss_mask: 0.1767 +2024/01/17 02:52:25 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 02:52:49 - mmengine - INFO - Epoch(train) [22][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:32:36 time: 0.8065 data_time: 0.0337 memory: 9494 loss: 0.7458 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0389 loss_cls: 0.1894 acc: 96.8750 loss_bbox: 0.2551 loss_mask: 0.2301 +2024/01/17 02:53:29 - mmengine - INFO - Epoch(train) [22][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:31:57 time: 0.7992 data_time: 0.0332 memory: 10516 loss: 0.5660 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0314 loss_cls: 0.1385 acc: 89.8438 loss_bbox: 0.1877 loss_mask: 0.1897 +2024/01/17 02:54:08 - mmengine - INFO - Epoch(train) [22][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:31:17 time: 0.7922 data_time: 0.0370 memory: 10207 loss: 0.6359 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0363 loss_cls: 0.1595 acc: 92.1875 loss_bbox: 0.2023 loss_mask: 0.2138 +2024/01/17 02:54:48 - mmengine - INFO - Epoch(train) [22][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:30:38 time: 0.8019 data_time: 0.0368 memory: 10568 loss: 0.6706 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0371 loss_cls: 0.1750 acc: 92.9688 loss_bbox: 0.2240 loss_mask: 0.2130 +2024/01/17 02:55:28 - mmengine - INFO - Epoch(train) [22][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:29:58 time: 0.7924 data_time: 0.0318 memory: 9588 loss: 0.6221 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0339 loss_cls: 0.1591 acc: 99.0234 loss_bbox: 0.2031 loss_mask: 0.2037 +2024/01/17 02:56:07 - mmengine - INFO - Epoch(train) [22][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:29:18 time: 0.7885 data_time: 0.0363 memory: 11232 loss: 0.5897 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0279 loss_cls: 0.1514 acc: 99.0234 loss_bbox: 0.1850 loss_mask: 0.2110 +2024/01/17 02:56:48 - mmengine - INFO - Epoch(train) [22][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:28:39 time: 0.8064 data_time: 0.0311 memory: 10479 loss: 0.5276 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0254 loss_cls: 0.1235 acc: 94.5312 loss_bbox: 0.1778 loss_mask: 0.1855 +2024/01/17 02:57:27 - mmengine - INFO - Epoch(train) [22][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:27:59 time: 0.7845 data_time: 0.0368 memory: 10087 loss: 0.5161 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0265 loss_cls: 0.1272 acc: 99.0234 loss_bbox: 0.1606 loss_mask: 0.1849 +2024/01/17 02:58:07 - mmengine - INFO - Epoch(train) [22][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:27:20 time: 0.7964 data_time: 0.0338 memory: 10067 loss: 0.6093 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0412 loss_cls: 0.1525 acc: 97.0703 loss_bbox: 0.1969 loss_mask: 0.1931 +2024/01/17 02:58:47 - mmengine - INFO - Epoch(train) [22][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:26:40 time: 0.7998 data_time: 0.0297 memory: 10992 loss: 0.6136 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0319 loss_cls: 0.1628 acc: 94.1406 loss_bbox: 0.2137 loss_mask: 0.1846 +2024/01/17 02:59:27 - mmengine - INFO - Epoch(train) [22][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:26:01 time: 0.8012 data_time: 0.0322 memory: 10568 loss: 0.6441 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0344 loss_cls: 0.1680 acc: 97.8516 loss_bbox: 0.2033 loss_mask: 0.2197 +2024/01/17 03:00:07 - mmengine - INFO - Epoch(train) [22][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:25:21 time: 0.8002 data_time: 0.0320 memory: 9736 loss: 0.5677 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0318 loss_cls: 0.1370 acc: 98.4375 loss_bbox: 0.1856 loss_mask: 0.1954 +2024/01/17 03:00:48 - mmengine - INFO - Epoch(train) [22][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:24:42 time: 0.8125 data_time: 0.0321 memory: 10360 loss: 0.5685 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0231 loss_cls: 0.1542 acc: 93.1641 loss_bbox: 0.1804 loss_mask: 0.1906 +2024/01/17 03:01:27 - mmengine - INFO - Epoch(train) [22][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:24:03 time: 0.7909 data_time: 0.0390 memory: 9737 loss: 0.6864 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0421 loss_cls: 0.1846 acc: 85.5469 loss_bbox: 0.2343 loss_mask: 0.1994 +2024/01/17 03:02:06 - mmengine - INFO - Epoch(train) [22][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:23:23 time: 0.7831 data_time: 0.0331 memory: 10207 loss: 0.5973 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0295 loss_cls: 0.1569 acc: 90.6250 loss_bbox: 0.1953 loss_mask: 0.1928 +2024/01/17 03:02:45 - mmengine - INFO - Epoch(train) [22][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:22:42 time: 0.7784 data_time: 0.0327 memory: 10572 loss: 0.5770 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0319 loss_cls: 0.1474 acc: 98.8281 loss_bbox: 0.1780 loss_mask: 0.1968 +2024/01/17 03:03:26 - mmengine - INFO - Epoch(train) [22][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:22:03 time: 0.8051 data_time: 0.0358 memory: 10572 loss: 0.6444 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0273 loss_cls: 0.1742 acc: 90.0391 loss_bbox: 0.2259 loss_mask: 0.1995 +2024/01/17 03:04:06 - mmengine - INFO - Epoch(train) [22][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:21:24 time: 0.7990 data_time: 0.0347 memory: 9737 loss: 0.5773 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0336 loss_cls: 0.1415 acc: 87.6953 loss_bbox: 0.1914 loss_mask: 0.1863 +2024/01/17 03:04:45 - mmengine - INFO - Epoch(train) [22][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:20:44 time: 0.7953 data_time: 0.0324 memory: 10136 loss: 0.5851 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0246 loss_cls: 0.1434 acc: 96.4844 loss_bbox: 0.2101 loss_mask: 0.1925 +2024/01/17 03:05:25 - mmengine - INFO - Epoch(train) [22][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:20:04 time: 0.7882 data_time: 0.0317 memory: 10420 loss: 0.7487 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0431 loss_cls: 0.2085 acc: 91.0156 loss_bbox: 0.2552 loss_mask: 0.2170 +2024/01/17 03:05:41 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 03:06:06 - mmengine - INFO - Epoch(train) [22][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:19:25 time: 0.8164 data_time: 0.0365 memory: 10572 loss: 0.6405 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0286 loss_cls: 0.1713 acc: 97.0703 loss_bbox: 0.2129 loss_mask: 0.2034 +2024/01/17 03:06:46 - mmengine - INFO - Epoch(train) [22][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:18:46 time: 0.7953 data_time: 0.0341 memory: 11102 loss: 0.6260 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0348 loss_cls: 0.1544 acc: 99.0234 loss_bbox: 0.2170 loss_mask: 0.2019 +2024/01/17 03:07:26 - mmengine - INFO - Epoch(train) [22][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:18:06 time: 0.8029 data_time: 0.0358 memory: 10561 loss: 0.6571 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0368 loss_cls: 0.1768 acc: 95.5078 loss_bbox: 0.2273 loss_mask: 0.1970 +2024/01/17 03:08:05 - mmengine - INFO - Epoch(train) [22][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:17:27 time: 0.7933 data_time: 0.0469 memory: 10251 loss: 0.6937 loss_rpn_cls: 0.0379 loss_rpn_bbox: 0.0487 loss_cls: 0.1831 acc: 98.0469 loss_bbox: 0.2257 loss_mask: 0.1984 +2024/01/17 03:08:45 - mmengine - INFO - Epoch(train) [22][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:16:47 time: 0.7953 data_time: 0.0305 memory: 10572 loss: 0.5726 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0259 loss_cls: 0.1395 acc: 92.7734 loss_bbox: 0.2007 loss_mask: 0.1943 +2024/01/17 03:09:26 - mmengine - INFO - Epoch(train) [22][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:16:08 time: 0.8075 data_time: 0.0312 memory: 10788 loss: 0.5561 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0250 loss_cls: 0.1400 acc: 98.8281 loss_bbox: 0.1850 loss_mask: 0.1848 +2024/01/17 03:10:06 - mmengine - INFO - Epoch(train) [22][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:15:29 time: 0.8020 data_time: 0.0346 memory: 10572 loss: 0.6036 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0309 loss_cls: 0.1466 acc: 99.4141 loss_bbox: 0.1979 loss_mask: 0.2039 +2024/01/17 03:10:46 - mmengine - INFO - Epoch(train) [22][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:14:49 time: 0.8015 data_time: 0.0399 memory: 9459 loss: 0.7191 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0367 loss_cls: 0.1991 acc: 89.8438 loss_bbox: 0.2412 loss_mask: 0.2222 +2024/01/17 03:11:25 - mmengine - INFO - Epoch(train) [22][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:14:09 time: 0.7886 data_time: 0.0330 memory: 10508 loss: 0.5634 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0320 loss_cls: 0.1380 acc: 88.4766 loss_bbox: 0.1848 loss_mask: 0.1914 +2024/01/17 03:12:05 - mmengine - INFO - Epoch(train) [22][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:13:30 time: 0.8018 data_time: 0.0398 memory: 10278 loss: 0.7057 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0399 loss_cls: 0.2001 acc: 97.0703 loss_bbox: 0.2410 loss_mask: 0.1999 +2024/01/17 03:12:46 - mmengine - INFO - Epoch(train) [22][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:12:51 time: 0.8031 data_time: 0.0332 memory: 10067 loss: 0.6104 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0349 loss_cls: 0.1623 acc: 90.0391 loss_bbox: 0.1951 loss_mask: 0.1958 +2024/01/17 03:13:25 - mmengine - INFO - Epoch(train) [22][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:12:11 time: 0.7933 data_time: 0.0377 memory: 10572 loss: 0.6085 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0349 loss_cls: 0.1630 acc: 95.7031 loss_bbox: 0.2155 loss_mask: 0.1755 +2024/01/17 03:14:06 - mmengine - INFO - Epoch(train) [22][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:11:32 time: 0.8093 data_time: 0.0309 memory: 9793 loss: 0.5994 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0283 loss_cls: 0.1619 acc: 98.8281 loss_bbox: 0.2033 loss_mask: 0.1901 +2024/01/17 03:14:45 - mmengine - INFO - Epoch(train) [22][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:10:52 time: 0.7833 data_time: 0.0265 memory: 10685 loss: 0.4861 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0243 loss_cls: 0.1095 acc: 100.0000 loss_bbox: 0.1598 loss_mask: 0.1739 +2024/01/17 03:15:25 - mmengine - INFO - Epoch(train) [22][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:10:12 time: 0.7936 data_time: 0.0313 memory: 10298 loss: 0.4894 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0210 loss_cls: 0.1337 acc: 97.6562 loss_bbox: 0.1556 loss_mask: 0.1649 +2024/01/17 03:16:05 - mmengine - INFO - Epoch(train) [22][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:09:33 time: 0.8024 data_time: 0.0342 memory: 10067 loss: 0.5677 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0292 loss_cls: 0.1449 acc: 98.6328 loss_bbox: 0.1943 loss_mask: 0.1843 +2024/01/17 03:16:45 - mmengine - INFO - Epoch(train) [22][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:08:53 time: 0.7937 data_time: 0.0314 memory: 9736 loss: 0.6001 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0316 loss_cls: 0.1579 acc: 94.1406 loss_bbox: 0.1976 loss_mask: 0.1910 +2024/01/17 03:17:25 - mmengine - INFO - Epoch(train) [22][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:08:14 time: 0.8132 data_time: 0.0346 memory: 10199 loss: 0.6358 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0368 loss_cls: 0.1569 acc: 96.6797 loss_bbox: 0.2188 loss_mask: 0.2007 +2024/01/17 03:18:05 - mmengine - INFO - Epoch(train) [22][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:07:35 time: 0.7942 data_time: 0.0332 memory: 10572 loss: 0.6158 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0267 loss_cls: 0.1623 acc: 98.8281 loss_bbox: 0.2028 loss_mask: 0.2047 +2024/01/17 03:18:45 - mmengine - INFO - Epoch(train) [22][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:06:55 time: 0.7924 data_time: 0.0359 memory: 10063 loss: 0.5468 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0254 loss_cls: 0.1415 acc: 95.5078 loss_bbox: 0.1802 loss_mask: 0.1858 +2024/01/17 03:19:00 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 03:19:25 - mmengine - INFO - Epoch(train) [22][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:06:16 time: 0.8027 data_time: 0.0395 memory: 10503 loss: 0.6345 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0442 loss_cls: 0.1525 acc: 99.6094 loss_bbox: 0.2101 loss_mask: 0.2093 +2024/01/17 03:20:05 - mmengine - INFO - Epoch(train) [22][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:05:36 time: 0.8032 data_time: 0.0365 memory: 10698 loss: 0.6529 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0318 loss_cls: 0.1709 acc: 95.5078 loss_bbox: 0.2200 loss_mask: 0.2068 +2024/01/17 03:20:45 - mmengine - INFO - Epoch(train) [22][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:04:57 time: 0.7956 data_time: 0.0287 memory: 9735 loss: 0.4851 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0206 loss_cls: 0.1337 acc: 86.5234 loss_bbox: 0.1524 loss_mask: 0.1644 +2024/01/17 03:21:25 - mmengine - INFO - Epoch(train) [22][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:04:17 time: 0.7976 data_time: 0.0416 memory: 10726 loss: 0.7590 loss_rpn_cls: 0.0381 loss_rpn_bbox: 0.0483 loss_cls: 0.2173 acc: 85.9375 loss_bbox: 0.2380 loss_mask: 0.2173 +2024/01/17 03:22:05 - mmengine - INFO - Epoch(train) [22][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:03:38 time: 0.8063 data_time: 0.0305 memory: 11102 loss: 0.6207 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0299 loss_cls: 0.1632 acc: 94.5312 loss_bbox: 0.2103 loss_mask: 0.1981 +2024/01/17 03:22:45 - mmengine - INFO - Epoch(train) [22][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:02:59 time: 0.8087 data_time: 0.0374 memory: 10220 loss: 0.6478 loss_rpn_cls: 0.0327 loss_rpn_bbox: 0.0414 loss_cls: 0.1676 acc: 88.4766 loss_bbox: 0.2035 loss_mask: 0.2027 +2024/01/17 03:23:25 - mmengine - INFO - Epoch(train) [22][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:02:19 time: 0.7965 data_time: 0.0339 memory: 10068 loss: 0.5115 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0241 loss_cls: 0.1373 acc: 99.8047 loss_bbox: 0.1606 loss_mask: 0.1744 +2024/01/17 03:24:06 - mmengine - INFO - Epoch(train) [22][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:01:40 time: 0.8179 data_time: 0.0280 memory: 10278 loss: 0.5699 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0269 loss_cls: 0.1469 acc: 95.8984 loss_bbox: 0.1953 loss_mask: 0.1853 +2024/01/17 03:24:46 - mmengine - INFO - Epoch(train) [22][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:01:01 time: 0.8027 data_time: 0.0309 memory: 9726 loss: 0.6367 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0322 loss_cls: 0.1721 acc: 94.5312 loss_bbox: 0.2083 loss_mask: 0.2076 +2024/01/17 03:25:26 - mmengine - INFO - Epoch(train) [22][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 23:00:21 time: 0.7993 data_time: 0.0354 memory: 11030 loss: 0.6988 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0363 loss_cls: 0.1879 acc: 96.0938 loss_bbox: 0.2384 loss_mask: 0.2078 +2024/01/17 03:26:06 - mmengine - INFO - Epoch(train) [22][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:59:42 time: 0.7984 data_time: 0.0297 memory: 9417 loss: 0.5941 loss_rpn_cls: 0.0305 loss_rpn_bbox: 0.0314 loss_cls: 0.1398 acc: 91.2109 loss_bbox: 0.1732 loss_mask: 0.2192 +2024/01/17 03:26:46 - mmengine - INFO - Epoch(train) [22][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:59:02 time: 0.7927 data_time: 0.0319 memory: 10242 loss: 0.6802 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0332 loss_cls: 0.1691 acc: 86.7188 loss_bbox: 0.2112 loss_mask: 0.2471 +2024/01/17 03:27:25 - mmengine - INFO - Epoch(train) [22][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:58:22 time: 0.7807 data_time: 0.0382 memory: 10572 loss: 0.6597 loss_rpn_cls: 0.0347 loss_rpn_bbox: 0.0393 loss_cls: 0.1638 acc: 86.3281 loss_bbox: 0.2197 loss_mask: 0.2021 +2024/01/17 03:28:05 - mmengine - INFO - Epoch(train) [22][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:57:43 time: 0.7995 data_time: 0.0354 memory: 10568 loss: 0.5928 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0299 loss_cls: 0.1385 acc: 99.6094 loss_bbox: 0.2060 loss_mask: 0.2007 +2024/01/17 03:28:45 - mmengine - INFO - Epoch(train) [22][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:57:03 time: 0.8043 data_time: 0.0355 memory: 11102 loss: 0.5870 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0286 loss_cls: 0.1507 acc: 100.0000 loss_bbox: 0.2070 loss_mask: 0.1859 +2024/01/17 03:29:26 - mmengine - INFO - Epoch(train) [22][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:56:24 time: 0.8051 data_time: 0.0289 memory: 9537 loss: 0.5650 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0240 loss_cls: 0.1508 acc: 99.2188 loss_bbox: 0.1754 loss_mask: 0.1873 +2024/01/17 03:30:06 - mmengine - INFO - Epoch(train) [22][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:55:45 time: 0.8022 data_time: 0.0295 memory: 9356 loss: 0.5839 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0322 loss_cls: 0.1536 acc: 95.8984 loss_bbox: 0.1923 loss_mask: 0.1844 +2024/01/17 03:30:45 - mmengine - INFO - Epoch(train) [22][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:55:05 time: 0.7857 data_time: 0.0308 memory: 9503 loss: 0.6252 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0280 loss_cls: 0.1695 acc: 90.6250 loss_bbox: 0.2198 loss_mask: 0.1920 +2024/01/17 03:31:24 - mmengine - INFO - Epoch(train) [22][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:54:25 time: 0.7870 data_time: 0.0324 memory: 10572 loss: 0.6200 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0268 loss_cls: 0.1827 acc: 100.0000 loss_bbox: 0.2027 loss_mask: 0.1882 +2024/01/17 03:32:04 - mmengine - INFO - Epoch(train) [22][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:53:45 time: 0.7957 data_time: 0.0280 memory: 9936 loss: 0.5190 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0227 loss_cls: 0.1290 acc: 99.0234 loss_bbox: 0.1661 loss_mask: 0.1908 +2024/01/17 03:32:20 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 03:32:44 - mmengine - INFO - Epoch(train) [22][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:53:06 time: 0.7877 data_time: 0.0333 memory: 9659 loss: 0.5354 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0275 loss_cls: 0.1335 acc: 99.2188 loss_bbox: 0.1770 loss_mask: 0.1844 +2024/01/17 03:33:23 - mmengine - INFO - Epoch(train) [22][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:52:26 time: 0.7958 data_time: 0.0336 memory: 9601 loss: 0.6282 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0290 loss_cls: 0.1732 acc: 95.1172 loss_bbox: 0.2093 loss_mask: 0.1954 +2024/01/17 03:34:02 - mmengine - INFO - Epoch(train) [22][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:51:46 time: 0.7724 data_time: 0.0339 memory: 9570 loss: 0.5784 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0323 loss_cls: 0.1361 acc: 89.0625 loss_bbox: 0.1983 loss_mask: 0.1900 +2024/01/17 03:34:43 - mmengine - INFO - Epoch(train) [22][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:51:07 time: 0.8128 data_time: 0.0359 memory: 10572 loss: 0.6885 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0351 loss_cls: 0.1857 acc: 98.0469 loss_bbox: 0.2226 loss_mask: 0.2170 +2024/01/17 03:35:22 - mmengine - INFO - Epoch(train) [22][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:50:27 time: 0.7833 data_time: 0.0320 memory: 10512 loss: 0.5494 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0243 loss_cls: 0.1424 acc: 98.8281 loss_bbox: 0.1826 loss_mask: 0.1886 +2024/01/17 03:36:02 - mmengine - INFO - Epoch(train) [22][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:49:47 time: 0.8059 data_time: 0.0373 memory: 10978 loss: 0.7004 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0366 loss_cls: 0.1956 acc: 99.0234 loss_bbox: 0.2316 loss_mask: 0.2041 +2024/01/17 03:36:42 - mmengine - INFO - Epoch(train) [22][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:49:08 time: 0.7896 data_time: 0.0359 memory: 9882 loss: 0.6134 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0310 loss_cls: 0.1634 acc: 96.0938 loss_bbox: 0.2030 loss_mask: 0.1980 +2024/01/17 03:37:21 - mmengine - INFO - Epoch(train) [22][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:48:28 time: 0.7903 data_time: 0.0359 memory: 10572 loss: 0.6148 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0354 loss_cls: 0.1701 acc: 99.8047 loss_bbox: 0.1936 loss_mask: 0.1872 +2024/01/17 03:38:01 - mmengine - INFO - Epoch(train) [22][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:47:48 time: 0.7982 data_time: 0.0286 memory: 9939 loss: 0.5631 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0319 loss_cls: 0.1479 acc: 99.2188 loss_bbox: 0.1778 loss_mask: 0.1860 +2024/01/17 03:38:41 - mmengine - INFO - Epoch(train) [22][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:47:08 time: 0.7870 data_time: 0.0309 memory: 10568 loss: 0.5981 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0298 loss_cls: 0.1598 acc: 92.7734 loss_bbox: 0.1826 loss_mask: 0.2043 +2024/01/17 03:39:20 - mmengine - INFO - Epoch(train) [22][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:46:29 time: 0.7948 data_time: 0.0346 memory: 9747 loss: 0.6476 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0307 loss_cls: 0.1690 acc: 92.5781 loss_bbox: 0.2230 loss_mask: 0.2037 +2024/01/17 03:39:59 - mmengine - INFO - Epoch(train) [22][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:45:48 time: 0.7668 data_time: 0.0347 memory: 11053 loss: 0.5525 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0244 loss_cls: 0.1329 acc: 97.4609 loss_bbox: 0.1670 loss_mask: 0.2132 +2024/01/17 03:40:39 - mmengine - INFO - Epoch(train) [22][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:45:09 time: 0.8102 data_time: 0.0293 memory: 9601 loss: 0.6031 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0297 loss_cls: 0.1579 acc: 98.6328 loss_bbox: 0.1955 loss_mask: 0.2007 +2024/01/17 03:41:19 - mmengine - INFO - Epoch(train) [22][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:44:30 time: 0.8010 data_time: 0.0335 memory: 10572 loss: 0.6213 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0319 loss_cls: 0.1729 acc: 98.6328 loss_bbox: 0.2119 loss_mask: 0.1804 +2024/01/17 03:41:59 - mmengine - INFO - Epoch(train) [22][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:43:50 time: 0.7900 data_time: 0.0375 memory: 10572 loss: 0.6543 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0363 loss_cls: 0.1774 acc: 99.6094 loss_bbox: 0.2182 loss_mask: 0.2001 +2024/01/17 03:42:38 - mmengine - INFO - Epoch(train) [22][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:43:10 time: 0.7791 data_time: 0.0323 memory: 10067 loss: 0.5830 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0283 loss_cls: 0.1486 acc: 86.1328 loss_bbox: 0.2045 loss_mask: 0.1821 +2024/01/17 03:43:17 - mmengine - INFO - Epoch(train) [22][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:42:30 time: 0.7813 data_time: 0.0334 memory: 9604 loss: 0.5989 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0298 loss_cls: 0.1545 acc: 95.5078 loss_bbox: 0.2062 loss_mask: 0.1919 +2024/01/17 03:43:57 - mmengine - INFO - Epoch(train) [22][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:41:51 time: 0.8057 data_time: 0.0377 memory: 10067 loss: 0.6833 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0322 loss_cls: 0.1865 acc: 94.3359 loss_bbox: 0.2413 loss_mask: 0.2044 +2024/01/17 03:44:38 - mmengine - INFO - Epoch(train) [22][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:41:11 time: 0.8130 data_time: 0.0349 memory: 10699 loss: 0.5880 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0277 loss_cls: 0.1516 acc: 98.6328 loss_bbox: 0.1930 loss_mask: 0.1982 +2024/01/17 03:45:18 - mmengine - INFO - Epoch(train) [22][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:40:32 time: 0.7997 data_time: 0.0349 memory: 10067 loss: 0.6459 loss_rpn_cls: 0.0386 loss_rpn_bbox: 0.0342 loss_cls: 0.1699 acc: 99.8047 loss_bbox: 0.1851 loss_mask: 0.2182 +2024/01/17 03:45:34 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 03:45:58 - mmengine - INFO - Epoch(train) [22][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:39:52 time: 0.7955 data_time: 0.0334 memory: 10137 loss: 0.7017 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0360 loss_cls: 0.1939 acc: 83.9844 loss_bbox: 0.2260 loss_mask: 0.2161 +2024/01/17 03:46:37 - mmengine - INFO - Epoch(train) [22][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:39:12 time: 0.7827 data_time: 0.0304 memory: 10113 loss: 0.5818 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0285 loss_cls: 0.1544 acc: 91.6016 loss_bbox: 0.1960 loss_mask: 0.1770 +2024/01/17 03:47:16 - mmengine - INFO - Epoch(train) [22][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:38:33 time: 0.7905 data_time: 0.0363 memory: 10572 loss: 0.6817 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0353 loss_cls: 0.1829 acc: 98.8281 loss_bbox: 0.2300 loss_mask: 0.2125 +2024/01/17 03:47:57 - mmengine - INFO - Epoch(train) [22][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:37:53 time: 0.8075 data_time: 0.0367 memory: 10224 loss: 0.5894 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0288 loss_cls: 0.1392 acc: 83.7891 loss_bbox: 0.2053 loss_mask: 0.2011 +2024/01/17 03:48:36 - mmengine - INFO - Epoch(train) [22][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:37:13 time: 0.7781 data_time: 0.0319 memory: 10803 loss: 0.6287 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0359 loss_cls: 0.1717 acc: 98.2422 loss_bbox: 0.2072 loss_mask: 0.1882 +2024/01/17 03:48:59 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 03:48:59 - mmengine - INFO - Saving checkpoint at 22 epochs +2024/01/17 03:49:14 - mmengine - INFO - Epoch(val) [22][ 50/313] eta: 0:00:56 time: 0.2140 data_time: 0.0543 memory: 9499 +2024/01/17 03:49:24 - mmengine - INFO - Epoch(val) [22][100/313] eta: 0:00:43 time: 0.1915 data_time: 0.0300 memory: 2388 +2024/01/17 03:49:33 - mmengine - INFO - Epoch(val) [22][150/313] eta: 0:00:32 time: 0.1910 data_time: 0.0333 memory: 2431 +2024/01/17 03:49:43 - mmengine - INFO - Epoch(val) [22][200/313] eta: 0:00:22 time: 0.2007 data_time: 0.0386 memory: 2403 +2024/01/17 03:49:53 - mmengine - INFO - Epoch(val) [22][250/313] eta: 0:00:12 time: 0.1933 data_time: 0.0376 memory: 2431 +2024/01/17 03:50:03 - mmengine - INFO - Epoch(val) [22][300/313] eta: 0:00:02 time: 0.1974 data_time: 0.0385 memory: 2403 +2024/01/17 03:50:11 - mmengine - INFO - Evaluating bbox... +2024/01/17 03:50:36 - mmengine - INFO - bbox_mAP_copypaste: 0.468 0.683 0.517 0.308 0.505 0.612 +2024/01/17 03:50:36 - mmengine - INFO - Evaluating segm... +2024/01/17 03:51:04 - mmengine - INFO - segm_mAP_copypaste: 0.420 0.655 0.451 0.224 0.452 0.605 +2024/01/17 03:51:04 - mmengine - INFO - Epoch(val) [22][313/313] coco/bbox_mAP: 0.4680 coco/bbox_mAP_50: 0.6830 coco/bbox_mAP_75: 0.5170 coco/bbox_mAP_s: 0.3080 coco/bbox_mAP_m: 0.5050 coco/bbox_mAP_l: 0.6120 coco/segm_mAP: 0.4200 coco/segm_mAP_50: 0.6550 coco/segm_mAP_75: 0.4510 coco/segm_mAP_s: 0.2240 coco/segm_mAP_m: 0.4520 coco/segm_mAP_l: 0.6050 data_time: 0.0372 time: 0.1962 +2024/01/17 03:51:45 - mmengine - INFO - Epoch(train) [23][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:36:10 time: 0.8177 data_time: 0.0581 memory: 9814 loss: 0.6538 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0395 loss_cls: 0.1682 acc: 85.7422 loss_bbox: 0.2167 loss_mask: 0.2083 +2024/01/17 03:52:24 - mmengine - INFO - Epoch(train) [23][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:35:30 time: 0.7816 data_time: 0.0362 memory: 10583 loss: 0.6318 loss_rpn_cls: 0.0327 loss_rpn_bbox: 0.0433 loss_cls: 0.1622 acc: 96.8750 loss_bbox: 0.2044 loss_mask: 0.1893 +2024/01/17 03:53:05 - mmengine - INFO - Epoch(train) [23][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:34:51 time: 0.8038 data_time: 0.0294 memory: 11099 loss: 0.5019 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0183 loss_cls: 0.1306 acc: 99.2188 loss_bbox: 0.1621 loss_mask: 0.1785 +2024/01/17 03:53:45 - mmengine - INFO - Epoch(train) [23][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:34:12 time: 0.8043 data_time: 0.0301 memory: 10583 loss: 0.5511 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0233 loss_cls: 0.1502 acc: 90.4297 loss_bbox: 0.1795 loss_mask: 0.1815 +2024/01/17 03:54:25 - mmengine - INFO - Epoch(train) [23][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:33:32 time: 0.8087 data_time: 0.0307 memory: 10214 loss: 0.5000 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0246 loss_cls: 0.1221 acc: 95.8984 loss_bbox: 0.1648 loss_mask: 0.1761 +2024/01/17 03:55:05 - mmengine - INFO - Epoch(train) [23][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:32:53 time: 0.8010 data_time: 0.0354 memory: 11102 loss: 0.6366 loss_rpn_cls: 0.0256 loss_rpn_bbox: 0.0335 loss_cls: 0.1624 acc: 85.1562 loss_bbox: 0.2148 loss_mask: 0.2003 +2024/01/17 03:55:45 - mmengine - INFO - Epoch(train) [23][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:32:13 time: 0.7952 data_time: 0.0364 memory: 11017 loss: 0.6758 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0397 loss_cls: 0.1931 acc: 99.2188 loss_bbox: 0.2248 loss_mask: 0.1966 +2024/01/17 03:56:25 - mmengine - INFO - Epoch(train) [23][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:31:34 time: 0.7872 data_time: 0.0357 memory: 9378 loss: 0.6955 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0391 loss_cls: 0.1793 acc: 97.0703 loss_bbox: 0.2464 loss_mask: 0.2101 +2024/01/17 03:57:05 - mmengine - INFO - Epoch(train) [23][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:30:54 time: 0.8068 data_time: 0.0356 memory: 10284 loss: 0.7010 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0402 loss_cls: 0.1754 acc: 95.7031 loss_bbox: 0.2503 loss_mask: 0.2097 +2024/01/17 03:57:44 - mmengine - INFO - Epoch(train) [23][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:30:15 time: 0.7897 data_time: 0.0360 memory: 9737 loss: 0.6139 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0297 loss_cls: 0.1595 acc: 93.9453 loss_bbox: 0.1950 loss_mask: 0.2063 +2024/01/17 03:58:25 - mmengine - INFO - Epoch(train) [23][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:29:35 time: 0.8066 data_time: 0.0292 memory: 9601 loss: 0.5534 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0277 loss_cls: 0.1351 acc: 86.9141 loss_bbox: 0.1795 loss_mask: 0.1901 +2024/01/17 03:59:04 - mmengine - INFO - Epoch(train) [23][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:28:55 time: 0.7860 data_time: 0.0325 memory: 10572 loss: 0.6222 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0389 loss_cls: 0.1633 acc: 99.6094 loss_bbox: 0.2079 loss_mask: 0.1896 +2024/01/17 03:59:45 - mmengine - INFO - Epoch(train) [23][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:28:17 time: 0.8228 data_time: 0.0411 memory: 10763 loss: 0.6481 loss_rpn_cls: 0.0288 loss_rpn_bbox: 0.0382 loss_cls: 0.1631 acc: 94.3359 loss_bbox: 0.2086 loss_mask: 0.2094 +2024/01/17 04:00:24 - mmengine - INFO - Epoch(train) [23][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:27:37 time: 0.7798 data_time: 0.0331 memory: 9932 loss: 0.5990 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0329 loss_cls: 0.1494 acc: 96.0938 loss_bbox: 0.1943 loss_mask: 0.2019 +2024/01/17 04:00:57 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 04:01:05 - mmengine - INFO - Epoch(train) [23][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:26:57 time: 0.8101 data_time: 0.0344 memory: 10761 loss: 0.5792 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0238 loss_cls: 0.1457 acc: 96.8750 loss_bbox: 0.1839 loss_mask: 0.2055 +2024/01/17 04:01:45 - mmengine - INFO - Epoch(train) [23][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:26:18 time: 0.8056 data_time: 0.0352 memory: 9949 loss: 0.6057 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0319 loss_cls: 0.1726 acc: 98.8281 loss_bbox: 0.1973 loss_mask: 0.1764 +2024/01/17 04:02:25 - mmengine - INFO - Epoch(train) [23][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:25:38 time: 0.7899 data_time: 0.0284 memory: 9598 loss: 0.4941 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0201 loss_cls: 0.1138 acc: 87.1094 loss_bbox: 0.1741 loss_mask: 0.1743 +2024/01/17 04:03:04 - mmengine - INFO - Epoch(train) [23][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:24:59 time: 0.7944 data_time: 0.0328 memory: 9253 loss: 0.5904 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0271 loss_cls: 0.1576 acc: 96.0938 loss_bbox: 0.2052 loss_mask: 0.1786 +2024/01/17 04:03:44 - mmengine - INFO - Epoch(train) [23][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:24:19 time: 0.7843 data_time: 0.0349 memory: 10572 loss: 0.6203 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0286 loss_cls: 0.1620 acc: 89.2578 loss_bbox: 0.1986 loss_mask: 0.2074 +2024/01/17 04:04:24 - mmengine - INFO - Epoch(train) [23][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:23:39 time: 0.8025 data_time: 0.0383 memory: 10572 loss: 0.5663 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0301 loss_cls: 0.1346 acc: 95.8984 loss_bbox: 0.1770 loss_mask: 0.2068 +2024/01/17 04:05:04 - mmengine - INFO - Epoch(train) [23][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:23:00 time: 0.7961 data_time: 0.0368 memory: 10298 loss: 0.6363 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0347 loss_cls: 0.1572 acc: 94.5312 loss_bbox: 0.2116 loss_mask: 0.2098 +2024/01/17 04:05:44 - mmengine - INFO - Epoch(train) [23][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:22:21 time: 0.8056 data_time: 0.0340 memory: 10081 loss: 0.5471 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0303 loss_cls: 0.1201 acc: 77.1484 loss_bbox: 0.1762 loss_mask: 0.2078 +2024/01/17 04:06:24 - mmengine - INFO - Epoch(train) [23][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:21:41 time: 0.8100 data_time: 0.0307 memory: 10713 loss: 0.5287 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0277 loss_cls: 0.1368 acc: 97.6562 loss_bbox: 0.1698 loss_mask: 0.1792 +2024/01/17 04:07:04 - mmengine - INFO - Epoch(train) [23][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:21:02 time: 0.7924 data_time: 0.0351 memory: 11026 loss: 0.6129 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0387 loss_cls: 0.1530 acc: 98.8281 loss_bbox: 0.2009 loss_mask: 0.2015 +2024/01/17 04:07:45 - mmengine - INFO - Epoch(train) [23][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:20:23 time: 0.8129 data_time: 0.0321 memory: 9523 loss: 0.6407 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0290 loss_cls: 0.1641 acc: 91.0156 loss_bbox: 0.2049 loss_mask: 0.2230 +2024/01/17 04:08:24 - mmengine - INFO - Epoch(train) [23][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:19:43 time: 0.7823 data_time: 0.0324 memory: 10572 loss: 0.6761 loss_rpn_cls: 0.0322 loss_rpn_bbox: 0.0353 loss_cls: 0.1907 acc: 87.8906 loss_bbox: 0.2237 loss_mask: 0.1942 +2024/01/17 04:09:03 - mmengine - INFO - Epoch(train) [23][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:19:03 time: 0.7876 data_time: 0.0344 memory: 10354 loss: 0.6436 loss_rpn_cls: 0.0281 loss_rpn_bbox: 0.0376 loss_cls: 0.1629 acc: 98.4375 loss_bbox: 0.2107 loss_mask: 0.2044 +2024/01/17 04:09:43 - mmengine - INFO - Epoch(train) [23][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:18:23 time: 0.7924 data_time: 0.0310 memory: 9850 loss: 0.5910 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0331 loss_cls: 0.1328 acc: 94.7266 loss_bbox: 0.1968 loss_mask: 0.2074 +2024/01/17 04:10:23 - mmengine - INFO - Epoch(train) [23][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:17:44 time: 0.8005 data_time: 0.0303 memory: 10496 loss: 0.6147 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0298 loss_cls: 0.1561 acc: 99.2188 loss_bbox: 0.2100 loss_mask: 0.1925 +2024/01/17 04:11:03 - mmengine - INFO - Epoch(train) [23][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:17:04 time: 0.7970 data_time: 0.0326 memory: 10396 loss: 0.6612 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0313 loss_cls: 0.1709 acc: 84.3750 loss_bbox: 0.2258 loss_mask: 0.2048 +2024/01/17 04:11:42 - mmengine - INFO - Epoch(train) [23][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:16:24 time: 0.7857 data_time: 0.0297 memory: 9625 loss: 0.5848 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0299 loss_cls: 0.1493 acc: 99.0234 loss_bbox: 0.1887 loss_mask: 0.1935 +2024/01/17 04:12:23 - mmengine - INFO - Epoch(train) [23][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:15:45 time: 0.8151 data_time: 0.0284 memory: 10583 loss: 0.5218 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0201 loss_cls: 0.1316 acc: 95.5078 loss_bbox: 0.1855 loss_mask: 0.1753 +2024/01/17 04:13:03 - mmengine - INFO - Epoch(train) [23][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:15:06 time: 0.7929 data_time: 0.0318 memory: 11243 loss: 0.6228 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0385 loss_cls: 0.1548 acc: 91.4062 loss_bbox: 0.2060 loss_mask: 0.2048 +2024/01/17 04:13:43 - mmengine - INFO - Epoch(train) [23][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:14:26 time: 0.7972 data_time: 0.0340 memory: 10370 loss: 0.6133 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0340 loss_cls: 0.1652 acc: 99.0234 loss_bbox: 0.2109 loss_mask: 0.1836 +2024/01/17 04:14:15 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 04:14:23 - mmengine - INFO - Epoch(train) [23][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:13:47 time: 0.8040 data_time: 0.0265 memory: 9397 loss: 0.5441 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0224 loss_cls: 0.1323 acc: 93.9453 loss_bbox: 0.1754 loss_mask: 0.2036 +2024/01/17 04:15:02 - mmengine - INFO - Epoch(train) [23][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:13:07 time: 0.7908 data_time: 0.0265 memory: 10434 loss: 0.5061 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0189 loss_cls: 0.1260 acc: 99.4141 loss_bbox: 0.1683 loss_mask: 0.1772 +2024/01/17 04:15:42 - mmengine - INFO - Epoch(train) [23][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:12:27 time: 0.7979 data_time: 0.0359 memory: 10067 loss: 0.6395 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0361 loss_cls: 0.1671 acc: 87.8906 loss_bbox: 0.2217 loss_mask: 0.1962 +2024/01/17 04:16:22 - mmengine - INFO - Epoch(train) [23][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:11:48 time: 0.7886 data_time: 0.0308 memory: 10593 loss: 0.5988 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0309 loss_cls: 0.1503 acc: 88.0859 loss_bbox: 0.1996 loss_mask: 0.2038 +2024/01/17 04:17:02 - mmengine - INFO - Epoch(train) [23][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:11:08 time: 0.8003 data_time: 0.0353 memory: 10067 loss: 0.5499 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0273 loss_cls: 0.1474 acc: 95.3125 loss_bbox: 0.1762 loss_mask: 0.1819 +2024/01/17 04:17:42 - mmengine - INFO - Epoch(train) [23][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:10:29 time: 0.8076 data_time: 0.0324 memory: 10274 loss: 0.5464 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0240 loss_cls: 0.1312 acc: 96.4844 loss_bbox: 0.1767 loss_mask: 0.1995 +2024/01/17 04:18:21 - mmengine - INFO - Epoch(train) [23][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:09:49 time: 0.7807 data_time: 0.0332 memory: 9736 loss: 0.5953 loss_rpn_cls: 0.0333 loss_rpn_bbox: 0.0299 loss_cls: 0.1484 acc: 87.6953 loss_bbox: 0.1983 loss_mask: 0.1855 +2024/01/17 04:19:01 - mmengine - INFO - Epoch(train) [23][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:09:09 time: 0.7921 data_time: 0.0349 memory: 10364 loss: 0.5778 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0298 loss_cls: 0.1462 acc: 92.3828 loss_bbox: 0.1824 loss_mask: 0.1926 +2024/01/17 04:19:41 - mmengine - INFO - Epoch(train) [23][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:08:30 time: 0.7996 data_time: 0.0307 memory: 9650 loss: 0.6483 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0249 loss_cls: 0.1756 acc: 96.2891 loss_bbox: 0.2160 loss_mask: 0.2160 +2024/01/17 04:20:21 - mmengine - INFO - Epoch(train) [23][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:07:50 time: 0.7959 data_time: 0.0345 memory: 10583 loss: 0.5727 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0319 loss_cls: 0.1508 acc: 90.0391 loss_bbox: 0.1980 loss_mask: 0.1719 +2024/01/17 04:21:01 - mmengine - INFO - Epoch(train) [23][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:07:11 time: 0.8017 data_time: 0.0300 memory: 10572 loss: 0.5447 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0243 loss_cls: 0.1364 acc: 92.5781 loss_bbox: 0.1851 loss_mask: 0.1838 +2024/01/17 04:21:40 - mmengine - INFO - Epoch(train) [23][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:06:31 time: 0.7887 data_time: 0.0345 memory: 10572 loss: 0.5053 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0259 loss_cls: 0.1273 acc: 99.2188 loss_bbox: 0.1718 loss_mask: 0.1655 +2024/01/17 04:22:20 - mmengine - INFO - Epoch(train) [23][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:05:51 time: 0.7906 data_time: 0.0323 memory: 10583 loss: 0.6162 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0289 loss_cls: 0.1535 acc: 95.7031 loss_bbox: 0.2042 loss_mask: 0.2096 +2024/01/17 04:23:00 - mmengine - INFO - Epoch(train) [23][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:05:12 time: 0.8013 data_time: 0.0293 memory: 10067 loss: 0.5308 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0255 loss_cls: 0.1322 acc: 87.6953 loss_bbox: 0.1733 loss_mask: 0.1834 +2024/01/17 04:23:40 - mmengine - INFO - Epoch(train) [23][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:04:32 time: 0.8099 data_time: 0.0348 memory: 9122 loss: 0.6074 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0338 loss_cls: 0.1544 acc: 91.4062 loss_bbox: 0.2070 loss_mask: 0.1912 +2024/01/17 04:24:21 - mmengine - INFO - Epoch(train) [23][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:03:53 time: 0.8141 data_time: 0.0343 memory: 10067 loss: 0.6151 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0322 loss_cls: 0.1643 acc: 96.4844 loss_bbox: 0.2093 loss_mask: 0.1906 +2024/01/17 04:25:01 - mmengine - INFO - Epoch(train) [23][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:03:14 time: 0.7892 data_time: 0.0302 memory: 10583 loss: 0.5430 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0264 loss_cls: 0.1439 acc: 91.0156 loss_bbox: 0.1789 loss_mask: 0.1756 +2024/01/17 04:25:40 - mmengine - INFO - Epoch(train) [23][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:02:34 time: 0.7960 data_time: 0.0309 memory: 10572 loss: 0.6028 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0271 loss_cls: 0.1483 acc: 95.5078 loss_bbox: 0.2007 loss_mask: 0.2059 +2024/01/17 04:26:20 - mmengine - INFO - Epoch(train) [23][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:01:54 time: 0.7879 data_time: 0.0259 memory: 10225 loss: 0.6022 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0292 loss_cls: 0.1619 acc: 96.4844 loss_bbox: 0.1850 loss_mask: 0.2065 +2024/01/17 04:26:59 - mmengine - INFO - Epoch(train) [23][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:01:14 time: 0.7856 data_time: 0.0326 memory: 10179 loss: 0.5659 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0239 loss_cls: 0.1405 acc: 91.9922 loss_bbox: 0.1956 loss_mask: 0.1910 +2024/01/17 04:27:31 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 04:27:39 - mmengine - INFO - Epoch(train) [23][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 22:00:35 time: 0.8023 data_time: 0.0368 memory: 10370 loss: 0.6673 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0290 loss_cls: 0.1815 acc: 86.1328 loss_bbox: 0.2237 loss_mask: 0.2135 +2024/01/17 04:28:19 - mmengine - INFO - Epoch(train) [23][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:59:55 time: 0.7932 data_time: 0.0342 memory: 10069 loss: 0.6159 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0264 loss_cls: 0.1665 acc: 99.8047 loss_bbox: 0.2052 loss_mask: 0.1943 +2024/01/17 04:28:59 - mmengine - INFO - Epoch(train) [23][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:59:16 time: 0.7968 data_time: 0.0336 memory: 10067 loss: 0.6015 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0274 loss_cls: 0.1571 acc: 97.6562 loss_bbox: 0.2070 loss_mask: 0.1943 +2024/01/17 04:29:39 - mmengine - INFO - Epoch(train) [23][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:58:36 time: 0.8041 data_time: 0.0309 memory: 10986 loss: 0.5486 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0285 loss_cls: 0.1346 acc: 98.0469 loss_bbox: 0.1722 loss_mask: 0.1930 +2024/01/17 04:30:19 - mmengine - INFO - Epoch(train) [23][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:57:57 time: 0.7937 data_time: 0.0362 memory: 10924 loss: 0.6229 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0388 loss_cls: 0.1655 acc: 99.8047 loss_bbox: 0.2053 loss_mask: 0.1949 +2024/01/17 04:30:59 - mmengine - INFO - Epoch(train) [23][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:57:17 time: 0.8031 data_time: 0.0324 memory: 9180 loss: 0.5222 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0262 loss_cls: 0.1250 acc: 93.9453 loss_bbox: 0.1870 loss_mask: 0.1732 +2024/01/17 04:31:39 - mmengine - INFO - Epoch(train) [23][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:56:38 time: 0.7907 data_time: 0.0345 memory: 11309 loss: 0.6694 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0343 loss_cls: 0.1718 acc: 98.2422 loss_bbox: 0.2277 loss_mask: 0.2092 +2024/01/17 04:32:19 - mmengine - INFO - Epoch(train) [23][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:55:58 time: 0.8004 data_time: 0.0332 memory: 10572 loss: 0.6305 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0413 loss_cls: 0.1625 acc: 89.4531 loss_bbox: 0.2228 loss_mask: 0.1860 +2024/01/17 04:32:58 - mmengine - INFO - Epoch(train) [23][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:55:18 time: 0.7819 data_time: 0.0316 memory: 9049 loss: 0.7133 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0388 loss_cls: 0.2057 acc: 90.6250 loss_bbox: 0.2398 loss_mask: 0.2080 +2024/01/17 04:33:37 - mmengine - INFO - Epoch(train) [23][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:54:38 time: 0.7850 data_time: 0.0258 memory: 10067 loss: 0.4685 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0200 loss_cls: 0.1063 acc: 98.8281 loss_bbox: 0.1443 loss_mask: 0.1847 +2024/01/17 04:34:17 - mmengine - INFO - Epoch(train) [23][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:53:59 time: 0.8052 data_time: 0.0312 memory: 10113 loss: 0.5675 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0258 loss_cls: 0.1400 acc: 96.6797 loss_bbox: 0.1944 loss_mask: 0.1895 +2024/01/17 04:34:57 - mmengine - INFO - Epoch(train) [23][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:53:19 time: 0.7895 data_time: 0.0305 memory: 9459 loss: 0.5411 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0277 loss_cls: 0.1389 acc: 81.4453 loss_bbox: 0.1682 loss_mask: 0.1849 +2024/01/17 04:35:37 - mmengine - INFO - Epoch(train) [23][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:52:39 time: 0.7964 data_time: 0.0321 memory: 10388 loss: 0.5540 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0294 loss_cls: 0.1425 acc: 91.0156 loss_bbox: 0.1760 loss_mask: 0.1859 +2024/01/17 04:36:17 - mmengine - INFO - Epoch(train) [23][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:52:00 time: 0.8011 data_time: 0.0302 memory: 9599 loss: 0.5298 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0280 loss_cls: 0.1382 acc: 97.0703 loss_bbox: 0.1700 loss_mask: 0.1758 +2024/01/17 04:36:57 - mmengine - INFO - Epoch(train) [23][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:51:20 time: 0.7979 data_time: 0.0284 memory: 9459 loss: 0.5992 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0281 loss_cls: 0.1507 acc: 98.8281 loss_bbox: 0.2058 loss_mask: 0.2014 +2024/01/17 04:37:36 - mmengine - INFO - Epoch(train) [23][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:50:40 time: 0.7809 data_time: 0.0294 memory: 10067 loss: 0.5443 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0261 loss_cls: 0.1273 acc: 99.0234 loss_bbox: 0.1843 loss_mask: 0.1907 +2024/01/17 04:38:16 - mmengine - INFO - Epoch(train) [23][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:50:01 time: 0.8028 data_time: 0.0372 memory: 10177 loss: 0.6802 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0344 loss_cls: 0.1750 acc: 87.5000 loss_bbox: 0.2299 loss_mask: 0.2175 +2024/01/17 04:38:56 - mmengine - INFO - Epoch(train) [23][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:49:21 time: 0.7923 data_time: 0.0313 memory: 10583 loss: 0.4950 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0228 loss_cls: 0.1300 acc: 94.7266 loss_bbox: 0.1594 loss_mask: 0.1686 +2024/01/17 04:39:36 - mmengine - INFO - Epoch(train) [23][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:48:42 time: 0.8034 data_time: 0.0327 memory: 10572 loss: 0.6432 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0353 loss_cls: 0.1711 acc: 95.7031 loss_bbox: 0.2168 loss_mask: 0.1986 +2024/01/17 04:40:15 - mmengine - INFO - Epoch(train) [23][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:48:02 time: 0.7889 data_time: 0.0347 memory: 9946 loss: 0.6200 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0261 loss_cls: 0.1679 acc: 97.4609 loss_bbox: 0.2135 loss_mask: 0.1964 +2024/01/17 04:40:47 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 04:40:55 - mmengine - INFO - Epoch(train) [23][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:47:22 time: 0.7927 data_time: 0.0316 memory: 10519 loss: 0.5709 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0288 loss_cls: 0.1487 acc: 97.8516 loss_bbox: 0.1857 loss_mask: 0.1881 +2024/01/17 04:41:35 - mmengine - INFO - Epoch(train) [23][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:46:43 time: 0.8008 data_time: 0.0322 memory: 10427 loss: 0.6463 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0313 loss_cls: 0.1721 acc: 92.9688 loss_bbox: 0.2125 loss_mask: 0.2056 +2024/01/17 04:42:15 - mmengine - INFO - Epoch(train) [23][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:46:04 time: 0.8014 data_time: 0.0428 memory: 9949 loss: 0.6511 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0350 loss_cls: 0.1768 acc: 99.4141 loss_bbox: 0.2170 loss_mask: 0.1969 +2024/01/17 04:42:55 - mmengine - INFO - Epoch(train) [23][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:45:24 time: 0.8007 data_time: 0.0306 memory: 9737 loss: 0.5865 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0291 loss_cls: 0.1585 acc: 92.7734 loss_bbox: 0.1871 loss_mask: 0.1897 +2024/01/17 04:43:35 - mmengine - INFO - Epoch(train) [23][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:44:45 time: 0.8012 data_time: 0.0319 memory: 9598 loss: 0.6786 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0402 loss_cls: 0.1852 acc: 85.5469 loss_bbox: 0.2260 loss_mask: 0.1947 +2024/01/17 04:44:16 - mmengine - INFO - Epoch(train) [23][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:44:05 time: 0.8074 data_time: 0.0331 memory: 10572 loss: 0.5942 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0335 loss_cls: 0.1636 acc: 95.3125 loss_bbox: 0.1892 loss_mask: 0.1906 +2024/01/17 04:44:56 - mmengine - INFO - Epoch(train) [23][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:43:26 time: 0.8039 data_time: 0.0344 memory: 10465 loss: 0.6169 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0276 loss_cls: 0.1618 acc: 99.8047 loss_bbox: 0.2128 loss_mask: 0.1943 +2024/01/17 04:45:35 - mmengine - INFO - Epoch(train) [23][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:42:46 time: 0.7914 data_time: 0.0325 memory: 10572 loss: 0.6086 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0319 loss_cls: 0.1543 acc: 99.8047 loss_bbox: 0.2072 loss_mask: 0.1937 +2024/01/17 04:46:16 - mmengine - INFO - Epoch(train) [23][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:42:07 time: 0.8078 data_time: 0.0330 memory: 11002 loss: 0.6414 loss_rpn_cls: 0.0241 loss_rpn_bbox: 0.0337 loss_cls: 0.1616 acc: 98.6328 loss_bbox: 0.2070 loss_mask: 0.2150 +2024/01/17 04:46:55 - mmengine - INFO - Epoch(train) [23][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:41:27 time: 0.7876 data_time: 0.0292 memory: 10104 loss: 0.5728 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0279 loss_cls: 0.1461 acc: 94.5312 loss_bbox: 0.1883 loss_mask: 0.1892 +2024/01/17 04:47:34 - mmengine - INFO - Epoch(train) [23][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:40:47 time: 0.7787 data_time: 0.0387 memory: 9690 loss: 0.6738 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0316 loss_cls: 0.1784 acc: 99.2188 loss_bbox: 0.2255 loss_mask: 0.2134 +2024/01/17 04:48:14 - mmengine - INFO - Epoch(train) [23][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:40:07 time: 0.7884 data_time: 0.0353 memory: 10572 loss: 0.6534 loss_rpn_cls: 0.0320 loss_rpn_bbox: 0.0349 loss_cls: 0.1837 acc: 92.5781 loss_bbox: 0.2210 loss_mask: 0.1817 +2024/01/17 04:48:53 - mmengine - INFO - Epoch(train) [23][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:39:27 time: 0.7862 data_time: 0.0321 memory: 10572 loss: 0.6640 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0338 loss_cls: 0.1859 acc: 99.4141 loss_bbox: 0.2049 loss_mask: 0.2125 +2024/01/17 04:49:33 - mmengine - INFO - Epoch(train) [23][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:38:48 time: 0.8039 data_time: 0.0348 memory: 10571 loss: 0.7005 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0359 loss_cls: 0.1853 acc: 92.3828 loss_bbox: 0.2376 loss_mask: 0.2199 +2024/01/17 04:50:13 - mmengine - INFO - Epoch(train) [23][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:38:08 time: 0.7944 data_time: 0.0409 memory: 10304 loss: 0.6181 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0344 loss_cls: 0.1614 acc: 98.8281 loss_bbox: 0.1983 loss_mask: 0.1964 +2024/01/17 04:50:53 - mmengine - INFO - Epoch(train) [23][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:37:29 time: 0.7925 data_time: 0.0319 memory: 9304 loss: 0.6905 loss_rpn_cls: 0.0306 loss_rpn_bbox: 0.0368 loss_cls: 0.1733 acc: 97.2656 loss_bbox: 0.2300 loss_mask: 0.2198 +2024/01/17 04:51:33 - mmengine - INFO - Epoch(train) [23][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:36:49 time: 0.8063 data_time: 0.0334 memory: 9319 loss: 0.7087 loss_rpn_cls: 0.0298 loss_rpn_bbox: 0.0496 loss_cls: 0.1904 acc: 86.7188 loss_bbox: 0.2325 loss_mask: 0.2064 +2024/01/17 04:52:13 - mmengine - INFO - Epoch(train) [23][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:36:10 time: 0.7938 data_time: 0.0417 memory: 10572 loss: 0.6854 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0418 loss_cls: 0.1902 acc: 96.8750 loss_bbox: 0.2253 loss_mask: 0.1996 +2024/01/17 04:52:52 - mmengine - INFO - Epoch(train) [23][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:35:30 time: 0.7889 data_time: 0.0352 memory: 10275 loss: 0.6122 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0383 loss_cls: 0.1523 acc: 87.3047 loss_bbox: 0.1967 loss_mask: 0.1987 +2024/01/17 04:53:31 - mmengine - INFO - Epoch(train) [23][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:34:50 time: 0.7819 data_time: 0.0307 memory: 10067 loss: 0.5480 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0310 loss_cls: 0.1295 acc: 98.8281 loss_bbox: 0.1676 loss_mask: 0.1991 +2024/01/17 04:54:03 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 04:54:11 - mmengine - INFO - Epoch(train) [23][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:34:10 time: 0.7930 data_time: 0.0312 memory: 10067 loss: 0.5486 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0271 loss_cls: 0.1472 acc: 99.6094 loss_bbox: 0.1768 loss_mask: 0.1783 +2024/01/17 04:54:51 - mmengine - INFO - Epoch(train) [23][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:33:31 time: 0.7971 data_time: 0.0321 memory: 9570 loss: 0.6686 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0306 loss_cls: 0.1743 acc: 96.4844 loss_bbox: 0.2270 loss_mask: 0.2190 +2024/01/17 04:55:31 - mmengine - INFO - Epoch(train) [23][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:32:51 time: 0.8004 data_time: 0.0327 memory: 9800 loss: 0.6563 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0346 loss_cls: 0.1729 acc: 86.1328 loss_bbox: 0.2297 loss_mask: 0.1963 +2024/01/17 04:56:10 - mmengine - INFO - Epoch(train) [23][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:32:11 time: 0.7869 data_time: 0.0398 memory: 10013 loss: 0.7075 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0412 loss_cls: 0.1811 acc: 85.1562 loss_bbox: 0.2377 loss_mask: 0.2220 +2024/01/17 04:56:50 - mmengine - INFO - Epoch(train) [23][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:31:32 time: 0.7912 data_time: 0.0323 memory: 10443 loss: 0.5873 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0274 loss_cls: 0.1471 acc: 97.4609 loss_bbox: 0.2021 loss_mask: 0.1942 +2024/01/17 04:57:29 - mmengine - INFO - Epoch(train) [23][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:30:52 time: 0.7797 data_time: 0.0370 memory: 10347 loss: 0.6488 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0376 loss_cls: 0.1676 acc: 95.7031 loss_bbox: 0.2139 loss_mask: 0.2055 +2024/01/17 04:58:08 - mmengine - INFO - Epoch(train) [23][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:30:12 time: 0.7890 data_time: 0.0393 memory: 11099 loss: 0.5024 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0241 loss_cls: 0.1245 acc: 98.8281 loss_bbox: 0.1685 loss_mask: 0.1753 +2024/01/17 04:58:48 - mmengine - INFO - Epoch(train) [23][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:29:32 time: 0.8010 data_time: 0.0338 memory: 9800 loss: 0.5047 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0197 loss_cls: 0.1274 acc: 99.6094 loss_bbox: 0.1692 loss_mask: 0.1678 +2024/01/17 04:59:28 - mmengine - INFO - Epoch(train) [23][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:28:53 time: 0.7950 data_time: 0.0307 memory: 10357 loss: 0.5832 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0266 loss_cls: 0.1479 acc: 99.0234 loss_bbox: 0.1964 loss_mask: 0.1964 +2024/01/17 05:00:07 - mmengine - INFO - Epoch(train) [23][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:28:13 time: 0.7852 data_time: 0.0300 memory: 10067 loss: 0.5940 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0285 loss_cls: 0.1473 acc: 98.2422 loss_bbox: 0.1881 loss_mask: 0.2075 +2024/01/17 05:00:47 - mmengine - INFO - Epoch(train) [23][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:27:33 time: 0.7958 data_time: 0.0422 memory: 11513 loss: 0.6726 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0388 loss_cls: 0.1672 acc: 92.1875 loss_bbox: 0.2307 loss_mask: 0.2179 +2024/01/17 05:01:27 - mmengine - INFO - Epoch(train) [23][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:26:53 time: 0.7895 data_time: 0.0372 memory: 9253 loss: 0.6500 loss_rpn_cls: 0.0319 loss_rpn_bbox: 0.0386 loss_cls: 0.1639 acc: 96.8750 loss_bbox: 0.2050 loss_mask: 0.2106 +2024/01/17 05:02:07 - mmengine - INFO - Epoch(train) [23][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:26:14 time: 0.8107 data_time: 0.0288 memory: 10357 loss: 0.6083 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0278 loss_cls: 0.1555 acc: 89.4531 loss_bbox: 0.1922 loss_mask: 0.2137 +2024/01/17 05:02:47 - mmengine - INFO - Epoch(train) [23][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:25:35 time: 0.7976 data_time: 0.0397 memory: 11102 loss: 0.6960 loss_rpn_cls: 0.0245 loss_rpn_bbox: 0.0370 loss_cls: 0.1912 acc: 96.8750 loss_bbox: 0.2307 loss_mask: 0.2127 +2024/01/17 05:03:27 - mmengine - INFO - Epoch(train) [23][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:24:55 time: 0.7857 data_time: 0.0285 memory: 9842 loss: 0.5933 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0275 loss_cls: 0.1470 acc: 91.9922 loss_bbox: 0.2083 loss_mask: 0.1917 +2024/01/17 05:04:06 - mmengine - INFO - Epoch(train) [23][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:24:15 time: 0.7836 data_time: 0.0317 memory: 10288 loss: 0.5400 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0217 loss_cls: 0.1387 acc: 95.3125 loss_bbox: 0.1763 loss_mask: 0.1870 +2024/01/17 05:04:45 - mmengine - INFO - Epoch(train) [23][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:23:35 time: 0.7823 data_time: 0.0358 memory: 10403 loss: 0.6541 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0301 loss_cls: 0.1837 acc: 98.0469 loss_bbox: 0.2212 loss_mask: 0.2035 +2024/01/17 05:05:25 - mmengine - INFO - Epoch(train) [23][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:22:55 time: 0.8025 data_time: 0.0359 memory: 10292 loss: 0.6396 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0327 loss_cls: 0.1789 acc: 86.1328 loss_bbox: 0.2139 loss_mask: 0.1902 +2024/01/17 05:06:05 - mmengine - INFO - Epoch(train) [23][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:22:16 time: 0.7949 data_time: 0.0362 memory: 10041 loss: 0.6096 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0368 loss_cls: 0.1490 acc: 85.1562 loss_bbox: 0.1886 loss_mask: 0.2114 +2024/01/17 05:06:44 - mmengine - INFO - Epoch(train) [23][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:21:36 time: 0.7910 data_time: 0.0318 memory: 10572 loss: 0.6331 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0383 loss_cls: 0.1666 acc: 92.5781 loss_bbox: 0.2115 loss_mask: 0.1955 +2024/01/17 05:07:16 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 05:07:25 - mmengine - INFO - Epoch(train) [23][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:20:57 time: 0.8024 data_time: 0.0359 memory: 10067 loss: 0.6161 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0366 loss_cls: 0.1623 acc: 91.2109 loss_bbox: 0.2179 loss_mask: 0.1803 +2024/01/17 05:08:05 - mmengine - INFO - Epoch(train) [23][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:20:17 time: 0.7987 data_time: 0.0251 memory: 9601 loss: 0.4808 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0216 loss_cls: 0.1274 acc: 98.6328 loss_bbox: 0.1605 loss_mask: 0.1578 +2024/01/17 05:08:44 - mmengine - INFO - Epoch(train) [23][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:19:37 time: 0.7799 data_time: 0.0315 memory: 9365 loss: 0.5727 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0298 loss_cls: 0.1434 acc: 97.2656 loss_bbox: 0.1783 loss_mask: 0.1998 +2024/01/17 05:09:23 - mmengine - INFO - Epoch(train) [23][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:18:58 time: 0.7951 data_time: 0.0309 memory: 9598 loss: 0.5802 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0291 loss_cls: 0.1451 acc: 90.6250 loss_bbox: 0.1978 loss_mask: 0.1874 +2024/01/17 05:10:03 - mmengine - INFO - Epoch(train) [23][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:18:18 time: 0.7841 data_time: 0.0322 memory: 10013 loss: 0.5990 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0267 loss_cls: 0.1697 acc: 96.4844 loss_bbox: 0.1919 loss_mask: 0.1935 +2024/01/17 05:10:42 - mmengine - INFO - Epoch(train) [23][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:17:38 time: 0.7806 data_time: 0.0295 memory: 10572 loss: 0.6347 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0360 loss_cls: 0.1589 acc: 94.5312 loss_bbox: 0.2148 loss_mask: 0.2030 +2024/01/17 05:11:21 - mmengine - INFO - Epoch(train) [23][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:16:58 time: 0.7944 data_time: 0.0346 memory: 10299 loss: 0.5884 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0326 loss_cls: 0.1567 acc: 98.0469 loss_bbox: 0.2028 loss_mask: 0.1765 +2024/01/17 05:12:02 - mmengine - INFO - Epoch(train) [23][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:16:19 time: 0.8087 data_time: 0.0374 memory: 10572 loss: 0.6741 loss_rpn_cls: 0.0311 loss_rpn_bbox: 0.0397 loss_cls: 0.1784 acc: 97.0703 loss_bbox: 0.2155 loss_mask: 0.2093 +2024/01/17 05:12:42 - mmengine - INFO - Epoch(train) [23][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:15:39 time: 0.7946 data_time: 0.0340 memory: 11082 loss: 0.7154 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0387 loss_cls: 0.1919 acc: 93.3594 loss_bbox: 0.2323 loss_mask: 0.2309 +2024/01/17 05:13:21 - mmengine - INFO - Epoch(train) [23][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:14:59 time: 0.7912 data_time: 0.0332 memory: 10572 loss: 0.5782 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0319 loss_cls: 0.1477 acc: 99.0234 loss_bbox: 0.1948 loss_mask: 0.1825 +2024/01/17 05:14:01 - mmengine - INFO - Epoch(train) [23][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:14:20 time: 0.7946 data_time: 0.0341 memory: 10802 loss: 0.5541 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0274 loss_cls: 0.1308 acc: 97.0703 loss_bbox: 0.2025 loss_mask: 0.1793 +2024/01/17 05:14:41 - mmengine - INFO - Epoch(train) [23][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:13:40 time: 0.8018 data_time: 0.0372 memory: 10568 loss: 0.6587 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0331 loss_cls: 0.1764 acc: 98.6328 loss_bbox: 0.2206 loss_mask: 0.2040 +2024/01/17 05:15:21 - mmengine - INFO - Epoch(train) [23][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:13:00 time: 0.7890 data_time: 0.0339 memory: 10067 loss: 0.6287 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0295 loss_cls: 0.1692 acc: 98.8281 loss_bbox: 0.2002 loss_mask: 0.2110 +2024/01/17 05:16:01 - mmengine - INFO - Epoch(train) [23][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:12:21 time: 0.8022 data_time: 0.0321 memory: 9459 loss: 0.5956 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0315 loss_cls: 0.1572 acc: 91.0156 loss_bbox: 0.1915 loss_mask: 0.1900 +2024/01/17 05:16:41 - mmengine - INFO - Epoch(train) [23][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:11:42 time: 0.8002 data_time: 0.0348 memory: 10508 loss: 0.7077 loss_rpn_cls: 0.0327 loss_rpn_bbox: 0.0386 loss_cls: 0.2022 acc: 99.4141 loss_bbox: 0.2259 loss_mask: 0.2083 +2024/01/17 05:17:21 - mmengine - INFO - Epoch(train) [23][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:11:02 time: 0.8002 data_time: 0.0321 memory: 10583 loss: 0.5410 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0300 loss_cls: 0.1421 acc: 95.5078 loss_bbox: 0.1662 loss_mask: 0.1836 +2024/01/17 05:18:01 - mmengine - INFO - Epoch(train) [23][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:10:23 time: 0.8041 data_time: 0.0321 memory: 11102 loss: 0.5900 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0284 loss_cls: 0.1517 acc: 97.0703 loss_bbox: 0.1898 loss_mask: 0.1986 +2024/01/17 05:18:41 - mmengine - INFO - Epoch(train) [23][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:09:43 time: 0.8028 data_time: 0.0344 memory: 10582 loss: 0.6229 loss_rpn_cls: 0.0275 loss_rpn_bbox: 0.0303 loss_cls: 0.1572 acc: 98.8281 loss_bbox: 0.1876 loss_mask: 0.2203 +2024/01/17 05:19:20 - mmengine - INFO - Epoch(train) [23][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:09:03 time: 0.7873 data_time: 0.0308 memory: 9601 loss: 0.6133 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0292 loss_cls: 0.1698 acc: 88.2812 loss_bbox: 0.2071 loss_mask: 0.1880 +2024/01/17 05:20:00 - mmengine - INFO - Epoch(train) [23][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:08:24 time: 0.7967 data_time: 0.0308 memory: 9716 loss: 0.5991 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0292 loss_cls: 0.1435 acc: 87.5000 loss_bbox: 0.2015 loss_mask: 0.2058 +2024/01/17 05:20:32 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 05:20:40 - mmengine - INFO - Epoch(train) [23][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:07:44 time: 0.7981 data_time: 0.0290 memory: 9180 loss: 0.6081 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0336 loss_cls: 0.1588 acc: 94.9219 loss_bbox: 0.2068 loss_mask: 0.1882 +2024/01/17 05:21:21 - mmengine - INFO - Epoch(train) [23][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:07:05 time: 0.8148 data_time: 0.0300 memory: 9136 loss: 0.6687 loss_rpn_cls: 0.0341 loss_rpn_bbox: 0.0306 loss_cls: 0.1795 acc: 99.8047 loss_bbox: 0.2199 loss_mask: 0.2045 +2024/01/17 05:22:00 - mmengine - INFO - Epoch(train) [23][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:06:25 time: 0.7882 data_time: 0.0327 memory: 10067 loss: 0.6506 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0333 loss_cls: 0.1722 acc: 95.1172 loss_bbox: 0.2255 loss_mask: 0.2043 +2024/01/17 05:22:41 - mmengine - INFO - Epoch(train) [23][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:05:46 time: 0.8073 data_time: 0.0360 memory: 10152 loss: 0.6042 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0272 loss_cls: 0.1535 acc: 91.6016 loss_bbox: 0.2101 loss_mask: 0.1962 +2024/01/17 05:23:20 - mmengine - INFO - Epoch(train) [23][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:05:06 time: 0.7774 data_time: 0.0328 memory: 9728 loss: 0.6789 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0364 loss_cls: 0.1880 acc: 97.0703 loss_bbox: 0.2156 loss_mask: 0.2164 +2024/01/17 05:23:59 - mmengine - INFO - Epoch(train) [23][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:04:26 time: 0.7934 data_time: 0.0306 memory: 10067 loss: 0.6399 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0317 loss_cls: 0.1695 acc: 88.0859 loss_bbox: 0.2091 loss_mask: 0.2089 +2024/01/17 05:24:39 - mmengine - INFO - Epoch(train) [23][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:03:47 time: 0.7859 data_time: 0.0352 memory: 10370 loss: 0.7287 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0342 loss_cls: 0.1947 acc: 89.0625 loss_bbox: 0.2463 loss_mask: 0.2317 +2024/01/17 05:25:19 - mmengine - INFO - Epoch(train) [23][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:03:07 time: 0.7960 data_time: 0.0359 memory: 9601 loss: 0.6368 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0312 loss_cls: 0.1763 acc: 99.0234 loss_bbox: 0.2108 loss_mask: 0.1947 +2024/01/17 05:25:59 - mmengine - INFO - Epoch(train) [23][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:02:28 time: 0.8037 data_time: 0.0300 memory: 10207 loss: 0.5595 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0310 loss_cls: 0.1512 acc: 92.7734 loss_bbox: 0.1803 loss_mask: 0.1835 +2024/01/17 05:26:39 - mmengine - INFO - Epoch(train) [23][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:01:48 time: 0.8039 data_time: 0.0320 memory: 10067 loss: 0.5698 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0284 loss_cls: 0.1404 acc: 92.9688 loss_bbox: 0.2001 loss_mask: 0.1783 +2024/01/17 05:27:19 - mmengine - INFO - Epoch(train) [23][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:01:09 time: 0.7995 data_time: 0.0323 memory: 10067 loss: 0.6505 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0290 loss_cls: 0.1667 acc: 93.3594 loss_bbox: 0.2242 loss_mask: 0.2106 +2024/01/17 05:27:59 - mmengine - INFO - Epoch(train) [23][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 21:00:29 time: 0.7904 data_time: 0.0343 memory: 9904 loss: 0.5407 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0256 loss_cls: 0.1431 acc: 98.2422 loss_bbox: 0.1827 loss_mask: 0.1723 +2024/01/17 05:28:22 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 05:28:22 - mmengine - INFO - Saving checkpoint at 23 epochs +2024/01/17 05:28:36 - mmengine - INFO - Epoch(val) [23][ 50/313] eta: 0:00:53 time: 0.2047 data_time: 0.0434 memory: 8821 +2024/01/17 05:28:46 - mmengine - INFO - Epoch(val) [23][100/313] eta: 0:00:41 time: 0.1888 data_time: 0.0286 memory: 2388 +2024/01/17 05:28:55 - mmengine - INFO - Epoch(val) [23][150/313] eta: 0:00:31 time: 0.1872 data_time: 0.0300 memory: 2431 +2024/01/17 05:29:05 - mmengine - INFO - Epoch(val) [23][200/313] eta: 0:00:21 time: 0.1945 data_time: 0.0317 memory: 2403 +2024/01/17 05:29:14 - mmengine - INFO - Epoch(val) [23][250/313] eta: 0:00:12 time: 0.1814 data_time: 0.0259 memory: 2431 +2024/01/17 05:29:24 - mmengine - INFO - Epoch(val) [23][300/313] eta: 0:00:02 time: 0.2126 data_time: 0.0532 memory: 2403 +2024/01/17 05:29:33 - mmengine - INFO - Evaluating bbox... +2024/01/17 05:29:57 - mmengine - INFO - bbox_mAP_copypaste: 0.469 0.684 0.516 0.305 0.511 0.616 +2024/01/17 05:29:57 - mmengine - INFO - Evaluating segm... +2024/01/17 05:30:23 - mmengine - INFO - segm_mAP_copypaste: 0.420 0.654 0.454 0.231 0.454 0.615 +2024/01/17 05:30:24 - mmengine - INFO - Epoch(val) [23][313/313] coco/bbox_mAP: 0.4690 coco/bbox_mAP_50: 0.6840 coco/bbox_mAP_75: 0.5160 coco/bbox_mAP_s: 0.3050 coco/bbox_mAP_m: 0.5110 coco/bbox_mAP_l: 0.6160 coco/segm_mAP: 0.4200 coco/segm_mAP_50: 0.6540 coco/segm_mAP_75: 0.4540 coco/segm_mAP_s: 0.2310 coco/segm_mAP_m: 0.4540 coco/segm_mAP_l: 0.6150 data_time: 0.0343 time: 0.1934 +2024/01/17 05:31:04 - mmengine - INFO - Epoch(train) [24][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:59:26 time: 0.8083 data_time: 0.0482 memory: 10568 loss: 0.6335 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0333 loss_cls: 0.1635 acc: 96.4844 loss_bbox: 0.1999 loss_mask: 0.2079 +2024/01/17 05:31:44 - mmengine - INFO - Epoch(train) [24][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:58:46 time: 0.7956 data_time: 0.0275 memory: 10572 loss: 0.5426 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0235 loss_cls: 0.1292 acc: 86.9141 loss_bbox: 0.1855 loss_mask: 0.1856 +2024/01/17 05:32:24 - mmengine - INFO - Epoch(train) [24][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:58:07 time: 0.8014 data_time: 0.0308 memory: 9366 loss: 0.5690 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0209 loss_cls: 0.1441 acc: 92.5781 loss_bbox: 0.1939 loss_mask: 0.1989 +2024/01/17 05:33:04 - mmengine - INFO - Epoch(train) [24][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:57:27 time: 0.7964 data_time: 0.0314 memory: 10318 loss: 0.5714 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0259 loss_cls: 0.1418 acc: 99.8047 loss_bbox: 0.1973 loss_mask: 0.1854 +2024/01/17 05:33:44 - mmengine - INFO - Epoch(train) [24][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:56:47 time: 0.7933 data_time: 0.0322 memory: 9800 loss: 0.5234 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0225 loss_cls: 0.1330 acc: 97.0703 loss_bbox: 0.1710 loss_mask: 0.1816 +2024/01/17 05:34:24 - mmengine - INFO - Epoch(train) [24][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:56:08 time: 0.7998 data_time: 0.0370 memory: 11445 loss: 0.5990 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0265 loss_cls: 0.1453 acc: 99.2188 loss_bbox: 0.2051 loss_mask: 0.2007 +2024/01/17 05:35:03 - mmengine - INFO - Epoch(train) [24][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:55:28 time: 0.7804 data_time: 0.0325 memory: 10606 loss: 0.6228 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0317 loss_cls: 0.1505 acc: 82.4219 loss_bbox: 0.2045 loss_mask: 0.2164 +2024/01/17 05:35:43 - mmengine - INFO - Epoch(train) [24][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:54:48 time: 0.8077 data_time: 0.0369 memory: 9860 loss: 0.6714 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0391 loss_cls: 0.1697 acc: 98.8281 loss_bbox: 0.2288 loss_mask: 0.2141 +2024/01/17 05:35:51 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 05:36:23 - mmengine - INFO - Epoch(train) [24][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:54:09 time: 0.8048 data_time: 0.0410 memory: 11257 loss: 0.6240 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0310 loss_cls: 0.1560 acc: 78.1250 loss_bbox: 0.2136 loss_mask: 0.2016 +2024/01/17 05:37:03 - mmengine - INFO - Epoch(train) [24][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:53:29 time: 0.7916 data_time: 0.0291 memory: 10466 loss: 0.5133 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0242 loss_cls: 0.1234 acc: 98.8281 loss_bbox: 0.1716 loss_mask: 0.1781 +2024/01/17 05:37:43 - mmengine - INFO - Epoch(train) [24][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:52:50 time: 0.7974 data_time: 0.0340 memory: 10875 loss: 0.5247 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0244 loss_cls: 0.1284 acc: 98.4375 loss_bbox: 0.1752 loss_mask: 0.1799 +2024/01/17 05:38:22 - mmengine - INFO - Epoch(train) [24][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:52:10 time: 0.7907 data_time: 0.0313 memory: 10067 loss: 0.5821 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0267 loss_cls: 0.1522 acc: 98.4375 loss_bbox: 0.2000 loss_mask: 0.1824 +2024/01/17 05:39:02 - mmengine - INFO - Epoch(train) [24][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:51:30 time: 0.7928 data_time: 0.0294 memory: 10541 loss: 0.5187 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0236 loss_cls: 0.1355 acc: 96.4844 loss_bbox: 0.1685 loss_mask: 0.1785 +2024/01/17 05:39:42 - mmengine - INFO - Epoch(train) [24][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:50:51 time: 0.7915 data_time: 0.0353 memory: 10228 loss: 0.6821 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0380 loss_cls: 0.1893 acc: 99.0234 loss_bbox: 0.2321 loss_mask: 0.2019 +2024/01/17 05:40:21 - mmengine - INFO - Epoch(train) [24][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:50:11 time: 0.7952 data_time: 0.0308 memory: 9613 loss: 0.6583 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0337 loss_cls: 0.1622 acc: 92.3828 loss_bbox: 0.2282 loss_mask: 0.2103 +2024/01/17 05:41:03 - mmengine - INFO - Epoch(train) [24][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:49:32 time: 0.8253 data_time: 0.0366 memory: 10232 loss: 0.7678 loss_rpn_cls: 0.0327 loss_rpn_bbox: 0.0399 loss_cls: 0.2072 acc: 89.8438 loss_bbox: 0.2585 loss_mask: 0.2295 +2024/01/17 05:41:42 - mmengine - INFO - Epoch(train) [24][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:48:52 time: 0.7817 data_time: 0.0301 memory: 9949 loss: 0.5543 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0288 loss_cls: 0.1411 acc: 96.2891 loss_bbox: 0.1855 loss_mask: 0.1794 +2024/01/17 05:42:22 - mmengine - INFO - Epoch(train) [24][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:48:13 time: 0.7950 data_time: 0.0400 memory: 10483 loss: 0.7143 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0444 loss_cls: 0.1972 acc: 96.6797 loss_bbox: 0.2374 loss_mask: 0.2120 +2024/01/17 05:43:00 - mmengine - INFO - Epoch(train) [24][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:47:32 time: 0.7686 data_time: 0.0303 memory: 9120 loss: 0.6090 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0308 loss_cls: 0.1576 acc: 91.9922 loss_bbox: 0.2086 loss_mask: 0.1914 +2024/01/17 05:43:40 - mmengine - INFO - Epoch(train) [24][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:46:53 time: 0.7952 data_time: 0.0368 memory: 9600 loss: 0.6977 loss_rpn_cls: 0.0250 loss_rpn_bbox: 0.0394 loss_cls: 0.1997 acc: 91.9922 loss_bbox: 0.2245 loss_mask: 0.2090 +2024/01/17 05:44:20 - mmengine - INFO - Epoch(train) [24][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:46:13 time: 0.7976 data_time: 0.0355 memory: 10572 loss: 0.5845 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0304 loss_cls: 0.1599 acc: 97.8516 loss_bbox: 0.1973 loss_mask: 0.1736 +2024/01/17 05:44:59 - mmengine - INFO - Epoch(train) [24][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:45:33 time: 0.7928 data_time: 0.0276 memory: 11023 loss: 0.6165 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0312 loss_cls: 0.1641 acc: 92.1875 loss_bbox: 0.2034 loss_mask: 0.1956 +2024/01/17 05:45:40 - mmengine - INFO - Epoch(train) [24][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:44:54 time: 0.8064 data_time: 0.0360 memory: 10067 loss: 0.6278 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0331 loss_cls: 0.1605 acc: 86.1328 loss_bbox: 0.2124 loss_mask: 0.1987 +2024/01/17 05:46:20 - mmengine - INFO - Epoch(train) [24][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:44:15 time: 0.8095 data_time: 0.0319 memory: 10820 loss: 0.6742 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0338 loss_cls: 0.1797 acc: 99.0234 loss_bbox: 0.2276 loss_mask: 0.2069 +2024/01/17 05:47:00 - mmengine - INFO - Epoch(train) [24][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:43:35 time: 0.8005 data_time: 0.0334 memory: 8894 loss: 0.6102 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0355 loss_cls: 0.1599 acc: 96.8750 loss_bbox: 0.2062 loss_mask: 0.1823 +2024/01/17 05:47:41 - mmengine - INFO - Epoch(train) [24][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:42:56 time: 0.8089 data_time: 0.0319 memory: 10995 loss: 0.6031 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0374 loss_cls: 0.1458 acc: 98.8281 loss_bbox: 0.1926 loss_mask: 0.2012 +2024/01/17 05:48:21 - mmengine - INFO - Epoch(train) [24][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:42:17 time: 0.7998 data_time: 0.0363 memory: 10299 loss: 0.6621 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0331 loss_cls: 0.1713 acc: 94.1406 loss_bbox: 0.2181 loss_mask: 0.2166 +2024/01/17 05:49:02 - mmengine - INFO - Epoch(train) [24][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:41:38 time: 0.8159 data_time: 0.0294 memory: 10572 loss: 0.6242 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0306 loss_cls: 0.1546 acc: 98.6328 loss_bbox: 0.2188 loss_mask: 0.2022 +2024/01/17 05:49:10 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 05:49:42 - mmengine - INFO - Epoch(train) [24][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:40:58 time: 0.7983 data_time: 0.0354 memory: 10516 loss: 0.6289 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0343 loss_cls: 0.1631 acc: 96.6797 loss_bbox: 0.2133 loss_mask: 0.1958 +2024/01/17 05:50:22 - mmengine - INFO - Epoch(train) [24][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:40:19 time: 0.8078 data_time: 0.0322 memory: 10568 loss: 0.6098 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0293 loss_cls: 0.1566 acc: 92.1875 loss_bbox: 0.1994 loss_mask: 0.2095 +2024/01/17 05:51:02 - mmengine - INFO - Epoch(train) [24][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:39:39 time: 0.7971 data_time: 0.0310 memory: 10067 loss: 0.5892 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0279 loss_cls: 0.1544 acc: 96.0938 loss_bbox: 0.1853 loss_mask: 0.1964 +2024/01/17 05:51:42 - mmengine - INFO - Epoch(train) [24][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:39:00 time: 0.8020 data_time: 0.0369 memory: 10583 loss: 0.5883 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0324 loss_cls: 0.1484 acc: 97.2656 loss_bbox: 0.1935 loss_mask: 0.1943 +2024/01/17 05:52:21 - mmengine - INFO - Epoch(train) [24][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:38:20 time: 0.7822 data_time: 0.0363 memory: 9601 loss: 0.6717 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0326 loss_cls: 0.1686 acc: 97.6562 loss_bbox: 0.2390 loss_mask: 0.2106 +2024/01/17 05:53:01 - mmengine - INFO - Epoch(train) [24][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:37:40 time: 0.8029 data_time: 0.0371 memory: 9597 loss: 0.6860 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0424 loss_cls: 0.1779 acc: 97.8516 loss_bbox: 0.2331 loss_mask: 0.2116 +2024/01/17 05:53:41 - mmengine - INFO - Epoch(train) [24][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:37:01 time: 0.7971 data_time: 0.0373 memory: 10715 loss: 0.5436 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0327 loss_cls: 0.1382 acc: 89.4531 loss_bbox: 0.1791 loss_mask: 0.1751 +2024/01/17 05:54:21 - mmengine - INFO - Epoch(train) [24][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:36:21 time: 0.7924 data_time: 0.0334 memory: 10572 loss: 0.6064 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0337 loss_cls: 0.1535 acc: 98.6328 loss_bbox: 0.2115 loss_mask: 0.1913 +2024/01/17 05:55:01 - mmengine - INFO - Epoch(train) [24][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:35:42 time: 0.7990 data_time: 0.0333 memory: 10343 loss: 0.7606 loss_rpn_cls: 0.0289 loss_rpn_bbox: 0.0385 loss_cls: 0.2125 acc: 100.0000 loss_bbox: 0.2628 loss_mask: 0.2179 +2024/01/17 05:55:40 - mmengine - INFO - Epoch(train) [24][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:35:02 time: 0.7919 data_time: 0.0310 memory: 10013 loss: 0.5499 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0238 loss_cls: 0.1434 acc: 98.2422 loss_bbox: 0.1766 loss_mask: 0.1904 +2024/01/17 05:56:20 - mmengine - INFO - Epoch(train) [24][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:34:22 time: 0.7907 data_time: 0.0346 memory: 11030 loss: 0.5717 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0288 loss_cls: 0.1403 acc: 91.7969 loss_bbox: 0.1783 loss_mask: 0.2053 +2024/01/17 05:57:00 - mmengine - INFO - Epoch(train) [24][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:33:43 time: 0.7966 data_time: 0.0318 memory: 9177 loss: 0.5931 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0275 loss_cls: 0.1473 acc: 98.2422 loss_bbox: 0.2033 loss_mask: 0.2013 +2024/01/17 05:57:40 - mmengine - INFO - Epoch(train) [24][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:33:03 time: 0.7952 data_time: 0.0365 memory: 10179 loss: 0.6434 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0356 loss_cls: 0.1493 acc: 93.3594 loss_bbox: 0.2178 loss_mask: 0.2188 +2024/01/17 05:58:19 - mmengine - INFO - Epoch(train) [24][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:32:23 time: 0.7914 data_time: 0.0355 memory: 10067 loss: 0.6011 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0277 loss_cls: 0.1561 acc: 90.2344 loss_bbox: 0.2110 loss_mask: 0.1905 +2024/01/17 05:58:58 - mmengine - INFO - Epoch(train) [24][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:31:43 time: 0.7783 data_time: 0.0295 memory: 10068 loss: 0.5240 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0218 loss_cls: 0.1486 acc: 98.4375 loss_bbox: 0.1630 loss_mask: 0.1712 +2024/01/17 05:59:39 - mmengine - INFO - Epoch(train) [24][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:31:04 time: 0.8067 data_time: 0.0360 memory: 11102 loss: 0.6614 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0377 loss_cls: 0.1656 acc: 100.0000 loss_bbox: 0.2299 loss_mask: 0.2098 +2024/01/17 06:00:18 - mmengine - INFO - Epoch(train) [24][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:30:24 time: 0.7918 data_time: 0.0309 memory: 10278 loss: 0.6323 loss_rpn_cls: 0.0277 loss_rpn_bbox: 0.0313 loss_cls: 0.1766 acc: 83.3984 loss_bbox: 0.1979 loss_mask: 0.1988 +2024/01/17 06:00:58 - mmengine - INFO - Epoch(train) [24][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:29:45 time: 0.8047 data_time: 0.0344 memory: 9570 loss: 0.5217 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0222 loss_cls: 0.1308 acc: 91.7969 loss_bbox: 0.1719 loss_mask: 0.1805 +2024/01/17 06:01:38 - mmengine - INFO - Epoch(train) [24][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:29:05 time: 0.7873 data_time: 0.0337 memory: 10278 loss: 0.6209 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0286 loss_cls: 0.1649 acc: 90.8203 loss_bbox: 0.2124 loss_mask: 0.1966 +2024/01/17 06:02:18 - mmengine - INFO - Epoch(train) [24][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:28:25 time: 0.7941 data_time: 0.0312 memory: 10397 loss: 0.5539 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0243 loss_cls: 0.1526 acc: 84.5703 loss_bbox: 0.1797 loss_mask: 0.1768 +2024/01/17 06:02:25 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 06:02:57 - mmengine - INFO - Epoch(train) [24][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:27:46 time: 0.7954 data_time: 0.0319 memory: 9625 loss: 0.5616 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0304 loss_cls: 0.1452 acc: 99.6094 loss_bbox: 0.1800 loss_mask: 0.1812 +2024/01/17 06:03:38 - mmengine - INFO - Epoch(train) [24][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:27:06 time: 0.8032 data_time: 0.0304 memory: 10522 loss: 0.5878 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0272 loss_cls: 0.1511 acc: 89.2578 loss_bbox: 0.2020 loss_mask: 0.1935 +2024/01/17 06:04:17 - mmengine - INFO - Epoch(train) [24][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:26:26 time: 0.7837 data_time: 0.0327 memory: 9951 loss: 0.5864 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0353 loss_cls: 0.1506 acc: 99.0234 loss_bbox: 0.1896 loss_mask: 0.1873 +2024/01/17 06:04:56 - mmengine - INFO - Epoch(train) [24][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:25:47 time: 0.7924 data_time: 0.0347 memory: 9949 loss: 0.6213 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0315 loss_cls: 0.1582 acc: 88.6719 loss_bbox: 0.2072 loss_mask: 0.2064 +2024/01/17 06:05:35 - mmengine - INFO - Epoch(train) [24][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:25:06 time: 0.7790 data_time: 0.0315 memory: 9459 loss: 0.5449 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0228 loss_cls: 0.1411 acc: 91.4062 loss_bbox: 0.1767 loss_mask: 0.1769 +2024/01/17 06:06:15 - mmengine - INFO - Epoch(train) [24][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:24:27 time: 0.7953 data_time: 0.0318 memory: 10361 loss: 0.6010 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0315 loss_cls: 0.1540 acc: 93.1641 loss_bbox: 0.1886 loss_mask: 0.2092 +2024/01/17 06:06:55 - mmengine - INFO - Epoch(train) [24][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:23:47 time: 0.7959 data_time: 0.0351 memory: 9579 loss: 0.5109 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0243 loss_cls: 0.1249 acc: 95.5078 loss_bbox: 0.1494 loss_mask: 0.2006 +2024/01/17 06:07:35 - mmengine - INFO - Epoch(train) [24][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:23:08 time: 0.7950 data_time: 0.0319 memory: 10299 loss: 0.6425 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0319 loss_cls: 0.1702 acc: 99.0234 loss_bbox: 0.2206 loss_mask: 0.2010 +2024/01/17 06:08:15 - mmengine - INFO - Epoch(train) [24][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:22:28 time: 0.7991 data_time: 0.0305 memory: 9177 loss: 0.7482 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0418 loss_cls: 0.2139 acc: 94.7266 loss_bbox: 0.2299 loss_mask: 0.2303 +2024/01/17 06:08:55 - mmengine - INFO - Epoch(train) [24][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:21:49 time: 0.7988 data_time: 0.0311 memory: 10572 loss: 0.5518 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0300 loss_cls: 0.1405 acc: 97.6562 loss_bbox: 0.1787 loss_mask: 0.1795 +2024/01/17 06:09:35 - mmengine - INFO - Epoch(train) [24][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:21:09 time: 0.7977 data_time: 0.0289 memory: 10568 loss: 0.6175 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0312 loss_cls: 0.1532 acc: 89.6484 loss_bbox: 0.2027 loss_mask: 0.2104 +2024/01/17 06:10:15 - mmengine - INFO - Epoch(train) [24][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:20:30 time: 0.8043 data_time: 0.0380 memory: 10615 loss: 0.6172 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0242 loss_cls: 0.1607 acc: 95.5078 loss_bbox: 0.2107 loss_mask: 0.2038 +2024/01/17 06:10:55 - mmengine - INFO - Epoch(train) [24][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:19:50 time: 0.8085 data_time: 0.0369 memory: 9523 loss: 0.6386 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0337 loss_cls: 0.1689 acc: 84.7656 loss_bbox: 0.2256 loss_mask: 0.1907 +2024/01/17 06:11:35 - mmengine - INFO - Epoch(train) [24][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:19:10 time: 0.7859 data_time: 0.0314 memory: 10435 loss: 0.6055 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0353 loss_cls: 0.1556 acc: 98.4375 loss_bbox: 0.1875 loss_mask: 0.2012 +2024/01/17 06:12:14 - mmengine - INFO - Epoch(train) [24][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:18:31 time: 0.7935 data_time: 0.0360 memory: 10568 loss: 0.6606 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0346 loss_cls: 0.1669 acc: 97.6562 loss_bbox: 0.2235 loss_mask: 0.2102 +2024/01/17 06:12:54 - mmengine - INFO - Epoch(train) [24][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:17:51 time: 0.7850 data_time: 0.0339 memory: 9949 loss: 0.7087 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0420 loss_cls: 0.1933 acc: 95.3125 loss_bbox: 0.2403 loss_mask: 0.2073 +2024/01/17 06:13:34 - mmengine - INFO - Epoch(train) [24][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:17:11 time: 0.8017 data_time: 0.0351 memory: 9977 loss: 0.6370 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0358 loss_cls: 0.1766 acc: 91.2109 loss_bbox: 0.2053 loss_mask: 0.1971 +2024/01/17 06:14:14 - mmengine - INFO - Epoch(train) [24][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:16:32 time: 0.7942 data_time: 0.0308 memory: 10568 loss: 0.5931 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0274 loss_cls: 0.1511 acc: 96.2891 loss_bbox: 0.2035 loss_mask: 0.1950 +2024/01/17 06:14:53 - mmengine - INFO - Epoch(train) [24][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:15:52 time: 0.7914 data_time: 0.0314 memory: 10292 loss: 0.6072 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0355 loss_cls: 0.1516 acc: 100.0000 loss_bbox: 0.2014 loss_mask: 0.1941 +2024/01/17 06:15:33 - mmengine - INFO - Epoch(train) [24][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:15:13 time: 0.8035 data_time: 0.0342 memory: 10572 loss: 0.6820 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0420 loss_cls: 0.1904 acc: 98.6328 loss_bbox: 0.2220 loss_mask: 0.2041 +2024/01/17 06:15:41 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 06:16:14 - mmengine - INFO - Epoch(train) [24][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:14:33 time: 0.8046 data_time: 0.0294 memory: 11517 loss: 0.4967 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0227 loss_cls: 0.1216 acc: 98.4375 loss_bbox: 0.1658 loss_mask: 0.1755 +2024/01/17 06:16:53 - mmengine - INFO - Epoch(train) [24][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:13:54 time: 0.7943 data_time: 0.0336 memory: 10067 loss: 0.5322 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0317 loss_cls: 0.1349 acc: 99.0234 loss_bbox: 0.1644 loss_mask: 0.1825 +2024/01/17 06:17:33 - mmengine - INFO - Epoch(train) [24][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:13:14 time: 0.7941 data_time: 0.0339 memory: 9201 loss: 0.6129 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0303 loss_cls: 0.1726 acc: 99.0234 loss_bbox: 0.1937 loss_mask: 0.1952 +2024/01/17 06:18:14 - mmengine - INFO - Epoch(train) [24][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:12:35 time: 0.8106 data_time: 0.0299 memory: 10572 loss: 0.5665 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0224 loss_cls: 0.1435 acc: 86.7188 loss_bbox: 0.1784 loss_mask: 0.2074 +2024/01/17 06:18:53 - mmengine - INFO - Epoch(train) [24][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:11:55 time: 0.7951 data_time: 0.0274 memory: 9180 loss: 0.5251 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0233 loss_cls: 0.1337 acc: 93.9453 loss_bbox: 0.1732 loss_mask: 0.1766 +2024/01/17 06:19:34 - mmengine - INFO - Epoch(train) [24][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:11:16 time: 0.8042 data_time: 0.0409 memory: 10572 loss: 0.6758 loss_rpn_cls: 0.0291 loss_rpn_bbox: 0.0353 loss_cls: 0.1754 acc: 88.2812 loss_bbox: 0.2318 loss_mask: 0.2042 +2024/01/17 06:20:14 - mmengine - INFO - Epoch(train) [24][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:10:36 time: 0.7960 data_time: 0.0344 memory: 9874 loss: 0.6482 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0404 loss_cls: 0.1652 acc: 85.3516 loss_bbox: 0.2230 loss_mask: 0.2004 +2024/01/17 06:20:54 - mmengine - INFO - Epoch(train) [24][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:09:57 time: 0.8154 data_time: 0.0382 memory: 10067 loss: 0.6328 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0414 loss_cls: 0.1676 acc: 99.0234 loss_bbox: 0.2002 loss_mask: 0.1999 +2024/01/17 06:21:34 - mmengine - INFO - Epoch(train) [24][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:09:18 time: 0.8027 data_time: 0.0421 memory: 9601 loss: 0.7502 loss_rpn_cls: 0.0314 loss_rpn_bbox: 0.0494 loss_cls: 0.1938 acc: 96.2891 loss_bbox: 0.2590 loss_mask: 0.2166 +2024/01/17 06:22:14 - mmengine - INFO - Epoch(train) [24][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:08:38 time: 0.7889 data_time: 0.0396 memory: 10572 loss: 0.5873 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0291 loss_cls: 0.1440 acc: 94.9219 loss_bbox: 0.1938 loss_mask: 0.2063 +2024/01/17 06:22:54 - mmengine - INFO - Epoch(train) [24][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:07:58 time: 0.8083 data_time: 0.0303 memory: 10656 loss: 0.5294 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0229 loss_cls: 0.1296 acc: 94.7266 loss_bbox: 0.1635 loss_mask: 0.2006 +2024/01/17 06:23:34 - mmengine - INFO - Epoch(train) [24][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:07:19 time: 0.7827 data_time: 0.0311 memory: 10067 loss: 0.5737 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0279 loss_cls: 0.1541 acc: 94.1406 loss_bbox: 0.1909 loss_mask: 0.1878 +2024/01/17 06:24:14 - mmengine - INFO - Epoch(train) [24][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:06:39 time: 0.8087 data_time: 0.0338 memory: 9601 loss: 0.7381 loss_rpn_cls: 0.0343 loss_rpn_bbox: 0.0364 loss_cls: 0.2059 acc: 91.2109 loss_bbox: 0.2411 loss_mask: 0.2204 +2024/01/17 06:24:54 - mmengine - INFO - Epoch(train) [24][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:06:00 time: 0.7967 data_time: 0.0281 memory: 10787 loss: 0.4630 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0175 loss_cls: 0.1280 acc: 99.8047 loss_bbox: 0.1347 loss_mask: 0.1719 +2024/01/17 06:25:33 - mmengine - INFO - Epoch(train) [24][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:05:20 time: 0.7873 data_time: 0.0373 memory: 11102 loss: 0.7000 loss_rpn_cls: 0.0250 loss_rpn_bbox: 0.0380 loss_cls: 0.1926 acc: 95.5078 loss_bbox: 0.2447 loss_mask: 0.1997 +2024/01/17 06:26:12 - mmengine - INFO - Epoch(train) [24][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:04:40 time: 0.7787 data_time: 0.0348 memory: 10067 loss: 0.5720 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0301 loss_cls: 0.1587 acc: 98.6328 loss_bbox: 0.1894 loss_mask: 0.1665 +2024/01/17 06:26:51 - mmengine - INFO - Epoch(train) [24][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:04:00 time: 0.7795 data_time: 0.0310 memory: 10568 loss: 0.5284 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0266 loss_cls: 0.1382 acc: 97.8516 loss_bbox: 0.1762 loss_mask: 0.1747 +2024/01/17 06:27:31 - mmengine - INFO - Epoch(train) [24][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:03:20 time: 0.7994 data_time: 0.0312 memory: 10555 loss: 0.5696 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0263 loss_cls: 0.1506 acc: 98.0469 loss_bbox: 0.1753 loss_mask: 0.1975 +2024/01/17 06:28:12 - mmengine - INFO - Epoch(train) [24][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:02:41 time: 0.8071 data_time: 0.0241 memory: 10067 loss: 0.5491 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0234 loss_cls: 0.1461 acc: 86.9141 loss_bbox: 0.1802 loss_mask: 0.1777 +2024/01/17 06:28:51 - mmengine - INFO - Epoch(train) [24][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:02:01 time: 0.7901 data_time: 0.0285 memory: 10572 loss: 0.5307 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0223 loss_cls: 0.1366 acc: 97.0703 loss_bbox: 0.1808 loss_mask: 0.1777 +2024/01/17 06:28:59 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 06:29:31 - mmengine - INFO - Epoch(train) [24][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:01:22 time: 0.7980 data_time: 0.0288 memory: 10328 loss: 0.5424 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0252 loss_cls: 0.1364 acc: 99.8047 loss_bbox: 0.1744 loss_mask: 0.1860 +2024/01/17 06:30:11 - mmengine - INFO - Epoch(train) [24][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:00:42 time: 0.7998 data_time: 0.0297 memory: 10872 loss: 0.6117 loss_rpn_cls: 0.0234 loss_rpn_bbox: 0.0314 loss_cls: 0.1566 acc: 100.0000 loss_bbox: 0.2008 loss_mask: 0.1993 +2024/01/17 06:30:51 - mmengine - INFO - Epoch(train) [24][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 20:00:02 time: 0.7933 data_time: 0.0403 memory: 9736 loss: 0.6356 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0390 loss_cls: 0.1800 acc: 91.4062 loss_bbox: 0.2037 loss_mask: 0.1937 +2024/01/17 06:31:30 - mmengine - INFO - Epoch(train) [24][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:59:23 time: 0.7934 data_time: 0.0337 memory: 10341 loss: 0.6670 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0339 loss_cls: 0.1677 acc: 95.7031 loss_bbox: 0.2365 loss_mask: 0.2052 +2024/01/17 06:32:10 - mmengine - INFO - Epoch(train) [24][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:58:43 time: 0.7908 data_time: 0.0384 memory: 10572 loss: 0.6829 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0335 loss_cls: 0.1832 acc: 96.0938 loss_bbox: 0.2273 loss_mask: 0.2093 +2024/01/17 06:32:50 - mmengine - INFO - Epoch(train) [24][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:58:03 time: 0.8009 data_time: 0.0351 memory: 10299 loss: 0.6146 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0294 loss_cls: 0.1625 acc: 97.4609 loss_bbox: 0.2027 loss_mask: 0.2026 +2024/01/17 06:33:31 - mmengine - INFO - Epoch(train) [24][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:57:24 time: 0.8111 data_time: 0.0361 memory: 9604 loss: 0.6817 loss_rpn_cls: 0.0306 loss_rpn_bbox: 0.0354 loss_cls: 0.1921 acc: 90.0391 loss_bbox: 0.2254 loss_mask: 0.1982 +2024/01/17 06:34:11 - mmengine - INFO - Epoch(train) [24][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:56:45 time: 0.8082 data_time: 0.0303 memory: 10067 loss: 0.5325 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0272 loss_cls: 0.1230 acc: 88.6719 loss_bbox: 0.1790 loss_mask: 0.1843 +2024/01/17 06:34:50 - mmengine - INFO - Epoch(train) [24][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:56:05 time: 0.7854 data_time: 0.0302 memory: 10298 loss: 0.5814 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0297 loss_cls: 0.1444 acc: 93.3594 loss_bbox: 0.1989 loss_mask: 0.1925 +2024/01/17 06:35:30 - mmengine - INFO - Epoch(train) [24][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:55:25 time: 0.7885 data_time: 0.0327 memory: 9601 loss: 0.6119 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0339 loss_cls: 0.1477 acc: 98.6328 loss_bbox: 0.1992 loss_mask: 0.2058 +2024/01/17 06:36:10 - mmengine - INFO - Epoch(train) [24][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:54:46 time: 0.7920 data_time: 0.0339 memory: 10555 loss: 0.5679 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0347 loss_cls: 0.1541 acc: 99.2188 loss_bbox: 0.1811 loss_mask: 0.1809 +2024/01/17 06:36:49 - mmengine - INFO - Epoch(train) [24][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:54:06 time: 0.7960 data_time: 0.0323 memory: 9947 loss: 0.6381 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0340 loss_cls: 0.1657 acc: 85.3516 loss_bbox: 0.2179 loss_mask: 0.1947 +2024/01/17 06:37:30 - mmengine - INFO - Epoch(train) [24][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:53:27 time: 0.8080 data_time: 0.0381 memory: 10571 loss: 0.6346 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0302 loss_cls: 0.1826 acc: 82.2266 loss_bbox: 0.2163 loss_mask: 0.1865 +2024/01/17 06:38:10 - mmengine - INFO - Epoch(train) [24][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:52:47 time: 0.8029 data_time: 0.0374 memory: 11313 loss: 0.6156 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0368 loss_cls: 0.1674 acc: 99.6094 loss_bbox: 0.1977 loss_mask: 0.1928 +2024/01/17 06:38:50 - mmengine - INFO - Epoch(train) [24][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:52:08 time: 0.8046 data_time: 0.0324 memory: 10760 loss: 0.6405 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0317 loss_cls: 0.1630 acc: 92.3828 loss_bbox: 0.2130 loss_mask: 0.2133 +2024/01/17 06:39:30 - mmengine - INFO - Epoch(train) [24][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:51:28 time: 0.7932 data_time: 0.0363 memory: 10067 loss: 0.5821 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0273 loss_cls: 0.1460 acc: 94.1406 loss_bbox: 0.1944 loss_mask: 0.1941 +2024/01/17 06:40:10 - mmengine - INFO - Epoch(train) [24][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:50:49 time: 0.7968 data_time: 0.0331 memory: 10565 loss: 0.4790 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0254 loss_cls: 0.1113 acc: 99.2188 loss_bbox: 0.1475 loss_mask: 0.1810 +2024/01/17 06:40:49 - mmengine - INFO - Epoch(train) [24][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:50:09 time: 0.7839 data_time: 0.0319 memory: 10572 loss: 0.5572 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0269 loss_cls: 0.1397 acc: 91.9922 loss_bbox: 0.1817 loss_mask: 0.1846 +2024/01/17 06:41:28 - mmengine - INFO - Epoch(train) [24][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:49:29 time: 0.7857 data_time: 0.0431 memory: 10572 loss: 0.7052 loss_rpn_cls: 0.0287 loss_rpn_bbox: 0.0399 loss_cls: 0.1927 acc: 90.4297 loss_bbox: 0.2458 loss_mask: 0.1982 +2024/01/17 06:42:08 - mmengine - INFO - Epoch(train) [24][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:48:49 time: 0.7875 data_time: 0.0372 memory: 10416 loss: 0.6359 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0361 loss_cls: 0.1671 acc: 79.8828 loss_bbox: 0.2120 loss_mask: 0.1954 +2024/01/17 06:42:16 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 06:42:48 - mmengine - INFO - Epoch(train) [24][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:48:10 time: 0.8047 data_time: 0.0329 memory: 10277 loss: 0.6113 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0249 loss_cls: 0.1634 acc: 98.8281 loss_bbox: 0.2141 loss_mask: 0.1904 +2024/01/17 06:43:28 - mmengine - INFO - Epoch(train) [24][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:47:30 time: 0.7944 data_time: 0.0308 memory: 10067 loss: 0.5685 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0302 loss_cls: 0.1398 acc: 93.9453 loss_bbox: 0.1922 loss_mask: 0.1882 +2024/01/17 06:44:08 - mmengine - INFO - Epoch(train) [24][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:46:50 time: 0.8030 data_time: 0.0295 memory: 10506 loss: 0.6226 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0320 loss_cls: 0.1619 acc: 94.7266 loss_bbox: 0.2032 loss_mask: 0.2024 +2024/01/17 06:44:49 - mmengine - INFO - Epoch(train) [24][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:46:11 time: 0.8121 data_time: 0.0334 memory: 11101 loss: 0.5849 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0279 loss_cls: 0.1477 acc: 97.4609 loss_bbox: 0.1929 loss_mask: 0.2024 +2024/01/17 06:45:28 - mmengine - INFO - Epoch(train) [24][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:45:32 time: 0.7988 data_time: 0.0308 memory: 10106 loss: 0.6050 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0299 loss_cls: 0.1564 acc: 92.1875 loss_bbox: 0.2010 loss_mask: 0.1988 +2024/01/17 06:46:09 - mmengine - INFO - Epoch(train) [24][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:44:52 time: 0.8069 data_time: 0.0303 memory: 10572 loss: 0.5360 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0286 loss_cls: 0.1337 acc: 93.1641 loss_bbox: 0.1773 loss_mask: 0.1808 +2024/01/17 06:46:48 - mmengine - INFO - Epoch(train) [24][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:44:13 time: 0.7870 data_time: 0.0313 memory: 10152 loss: 0.6140 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0352 loss_cls: 0.1537 acc: 94.5312 loss_bbox: 0.2071 loss_mask: 0.1954 +2024/01/17 06:47:27 - mmengine - INFO - Epoch(train) [24][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:43:32 time: 0.7781 data_time: 0.0300 memory: 10278 loss: 0.6160 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0363 loss_cls: 0.1626 acc: 96.8750 loss_bbox: 0.2055 loss_mask: 0.1938 +2024/01/17 06:48:08 - mmengine - INFO - Epoch(train) [24][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:42:53 time: 0.8096 data_time: 0.0409 memory: 10572 loss: 0.7393 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0495 loss_cls: 0.1835 acc: 89.0625 loss_bbox: 0.2588 loss_mask: 0.2271 +2024/01/17 06:48:48 - mmengine - INFO - Epoch(train) [24][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:42:14 time: 0.7968 data_time: 0.0328 memory: 9672 loss: 0.5474 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0349 loss_cls: 0.1348 acc: 98.8281 loss_bbox: 0.1792 loss_mask: 0.1840 +2024/01/17 06:49:28 - mmengine - INFO - Epoch(train) [24][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:41:34 time: 0.8014 data_time: 0.0279 memory: 10572 loss: 0.6221 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0362 loss_cls: 0.1709 acc: 87.6953 loss_bbox: 0.1933 loss_mask: 0.2008 +2024/01/17 06:50:08 - mmengine - INFO - Epoch(train) [24][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:40:55 time: 0.7976 data_time: 0.0332 memory: 10568 loss: 0.6402 loss_rpn_cls: 0.0246 loss_rpn_bbox: 0.0318 loss_cls: 0.1688 acc: 99.0234 loss_bbox: 0.2076 loss_mask: 0.2074 +2024/01/17 06:50:48 - mmengine - INFO - Epoch(train) [24][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:40:15 time: 0.8130 data_time: 0.0330 memory: 9779 loss: 0.5737 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0340 loss_cls: 0.1546 acc: 96.4844 loss_bbox: 0.1801 loss_mask: 0.1817 +2024/01/17 06:51:28 - mmengine - INFO - Epoch(train) [24][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:39:36 time: 0.7984 data_time: 0.0331 memory: 10013 loss: 0.7054 loss_rpn_cls: 0.0313 loss_rpn_bbox: 0.0355 loss_cls: 0.1893 acc: 91.2109 loss_bbox: 0.2306 loss_mask: 0.2188 +2024/01/17 06:52:08 - mmengine - INFO - Epoch(train) [24][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:38:56 time: 0.7933 data_time: 0.0271 memory: 10401 loss: 0.5842 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0291 loss_cls: 0.1461 acc: 99.2188 loss_bbox: 0.1971 loss_mask: 0.1910 +2024/01/17 06:52:47 - mmengine - INFO - Epoch(train) [24][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:38:16 time: 0.7868 data_time: 0.0283 memory: 9120 loss: 0.6436 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0273 loss_cls: 0.1636 acc: 99.0234 loss_bbox: 0.2109 loss_mask: 0.2213 +2024/01/17 06:53:27 - mmengine - INFO - Epoch(train) [24][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:37:37 time: 0.8034 data_time: 0.0291 memory: 9397 loss: 0.5779 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0293 loss_cls: 0.1476 acc: 95.7031 loss_bbox: 0.1909 loss_mask: 0.1898 +2024/01/17 06:54:08 - mmengine - INFO - Epoch(train) [24][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:36:57 time: 0.8023 data_time: 0.0298 memory: 10275 loss: 0.5855 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0262 loss_cls: 0.1612 acc: 99.8047 loss_bbox: 0.1903 loss_mask: 0.1914 +2024/01/17 06:54:48 - mmengine - INFO - Epoch(train) [24][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:36:18 time: 0.8082 data_time: 0.0329 memory: 9599 loss: 0.6542 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0357 loss_cls: 0.1702 acc: 90.8203 loss_bbox: 0.2152 loss_mask: 0.2070 +2024/01/17 06:55:28 - mmengine - INFO - Epoch(train) [24][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:35:38 time: 0.7950 data_time: 0.0367 memory: 9774 loss: 0.6815 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0381 loss_cls: 0.1755 acc: 96.4844 loss_bbox: 0.2326 loss_mask: 0.2110 +2024/01/17 06:55:36 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 06:56:08 - mmengine - INFO - Epoch(train) [24][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:34:59 time: 0.7968 data_time: 0.0338 memory: 10852 loss: 0.6417 loss_rpn_cls: 0.0325 loss_rpn_bbox: 0.0392 loss_cls: 0.1662 acc: 85.7422 loss_bbox: 0.2002 loss_mask: 0.2036 +2024/01/17 06:56:47 - mmengine - INFO - Epoch(train) [24][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:34:19 time: 0.7938 data_time: 0.0348 memory: 10516 loss: 0.6554 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0348 loss_cls: 0.1590 acc: 96.2891 loss_bbox: 0.2269 loss_mask: 0.2067 +2024/01/17 06:57:27 - mmengine - INFO - Epoch(train) [24][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:33:40 time: 0.7995 data_time: 0.0268 memory: 10391 loss: 0.4496 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0186 loss_cls: 0.1085 acc: 95.8984 loss_bbox: 0.1388 loss_mask: 0.1685 +2024/01/17 06:58:08 - mmengine - INFO - Epoch(train) [24][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:33:00 time: 0.8029 data_time: 0.0284 memory: 10572 loss: 0.6004 loss_rpn_cls: 0.0254 loss_rpn_bbox: 0.0327 loss_cls: 0.1603 acc: 97.0703 loss_bbox: 0.1942 loss_mask: 0.1879 +2024/01/17 06:58:47 - mmengine - INFO - Epoch(train) [24][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:32:21 time: 0.7954 data_time: 0.0304 memory: 10572 loss: 0.5901 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0277 loss_cls: 0.1515 acc: 94.7266 loss_bbox: 0.1840 loss_mask: 0.2064 +2024/01/17 06:59:27 - mmengine - INFO - Epoch(train) [24][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:31:41 time: 0.7986 data_time: 0.0335 memory: 10768 loss: 0.5619 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0279 loss_cls: 0.1532 acc: 97.0703 loss_bbox: 0.1750 loss_mask: 0.1897 +2024/01/17 07:00:07 - mmengine - INFO - Epoch(train) [24][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:31:01 time: 0.7973 data_time: 0.0343 memory: 10067 loss: 0.6578 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0304 loss_cls: 0.1731 acc: 89.8438 loss_bbox: 0.2274 loss_mask: 0.1983 +2024/01/17 07:00:47 - mmengine - INFO - Epoch(train) [24][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:30:22 time: 0.7949 data_time: 0.0341 memory: 10968 loss: 0.6283 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0340 loss_cls: 0.1609 acc: 88.8672 loss_bbox: 0.1980 loss_mask: 0.2095 +2024/01/17 07:01:26 - mmengine - INFO - Epoch(train) [24][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:29:42 time: 0.7870 data_time: 0.0317 memory: 10568 loss: 0.7193 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0352 loss_cls: 0.1961 acc: 94.3359 loss_bbox: 0.2421 loss_mask: 0.2210 +2024/01/17 07:02:06 - mmengine - INFO - Epoch(train) [24][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:29:02 time: 0.7920 data_time: 0.0313 memory: 10572 loss: 0.5797 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0255 loss_cls: 0.1453 acc: 97.2656 loss_bbox: 0.2007 loss_mask: 0.1950 +2024/01/17 07:02:46 - mmengine - INFO - Epoch(train) [24][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:28:23 time: 0.8015 data_time: 0.0337 memory: 10568 loss: 0.6138 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0323 loss_cls: 0.1642 acc: 98.8281 loss_bbox: 0.1963 loss_mask: 0.1988 +2024/01/17 07:03:26 - mmengine - INFO - Epoch(train) [24][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:27:43 time: 0.7951 data_time: 0.0345 memory: 10067 loss: 0.6499 loss_rpn_cls: 0.0294 loss_rpn_bbox: 0.0346 loss_cls: 0.1608 acc: 80.6641 loss_bbox: 0.2146 loss_mask: 0.2106 +2024/01/17 07:04:06 - mmengine - INFO - Epoch(train) [24][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:27:04 time: 0.7974 data_time: 0.0360 memory: 10060 loss: 0.6477 loss_rpn_cls: 0.0312 loss_rpn_bbox: 0.0390 loss_cls: 0.1773 acc: 95.3125 loss_bbox: 0.2060 loss_mask: 0.1943 +2024/01/17 07:04:45 - mmengine - INFO - Epoch(train) [24][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:26:23 time: 0.7742 data_time: 0.0328 memory: 9493 loss: 0.5410 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0277 loss_cls: 0.1447 acc: 96.4844 loss_bbox: 0.1781 loss_mask: 0.1749 +2024/01/17 07:05:25 - mmengine - INFO - Epoch(train) [24][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:25:44 time: 0.8048 data_time: 0.0318 memory: 9651 loss: 0.5534 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0280 loss_cls: 0.1404 acc: 86.9141 loss_bbox: 0.1830 loss_mask: 0.1863 +2024/01/17 07:06:04 - mmengine - INFO - Epoch(train) [24][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:25:04 time: 0.7869 data_time: 0.0340 memory: 10841 loss: 0.6309 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0303 loss_cls: 0.1593 acc: 92.5781 loss_bbox: 0.2069 loss_mask: 0.2170 +2024/01/17 07:06:45 - mmengine - INFO - Epoch(train) [24][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:24:25 time: 0.8131 data_time: 0.0277 memory: 9606 loss: 0.5317 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0212 loss_cls: 0.1457 acc: 95.3125 loss_bbox: 0.1740 loss_mask: 0.1770 +2024/01/17 07:07:24 - mmengine - INFO - Epoch(train) [24][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:23:45 time: 0.7859 data_time: 0.0325 memory: 10068 loss: 0.6516 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0337 loss_cls: 0.1726 acc: 92.1875 loss_bbox: 0.2134 loss_mask: 0.2093 +2024/01/17 07:07:48 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 07:07:48 - mmengine - INFO - Saving checkpoint at 24 epochs +2024/01/17 07:08:02 - mmengine - INFO - Epoch(val) [24][ 50/313] eta: 0:00:56 time: 0.2137 data_time: 0.0536 memory: 10742 +2024/01/17 07:08:13 - mmengine - INFO - Epoch(val) [24][100/313] eta: 0:00:44 time: 0.2086 data_time: 0.0478 memory: 2388 +2024/01/17 07:08:22 - mmengine - INFO - Epoch(val) [24][150/313] eta: 0:00:33 time: 0.1911 data_time: 0.0337 memory: 2431 +2024/01/17 07:08:33 - mmengine - INFO - Epoch(val) [24][200/313] eta: 0:00:23 time: 0.2060 data_time: 0.0436 memory: 2403 +2024/01/17 07:08:42 - mmengine - INFO - Epoch(val) [24][250/313] eta: 0:00:12 time: 0.1831 data_time: 0.0279 memory: 2431 +2024/01/17 07:08:52 - mmengine - INFO - Epoch(val) [24][300/313] eta: 0:00:02 time: 0.1931 data_time: 0.0336 memory: 2403 +2024/01/17 07:09:00 - mmengine - INFO - Evaluating bbox... +2024/01/17 07:09:24 - mmengine - INFO - bbox_mAP_copypaste: 0.464 0.684 0.505 0.301 0.503 0.607 +2024/01/17 07:09:24 - mmengine - INFO - Evaluating segm... +2024/01/17 07:09:51 - mmengine - INFO - segm_mAP_copypaste: 0.415 0.654 0.444 0.223 0.446 0.600 +2024/01/17 07:09:52 - mmengine - INFO - Epoch(val) [24][313/313] coco/bbox_mAP: 0.4640 coco/bbox_mAP_50: 0.6840 coco/bbox_mAP_75: 0.5050 coco/bbox_mAP_s: 0.3010 coco/bbox_mAP_m: 0.5030 coco/bbox_mAP_l: 0.6070 coco/segm_mAP: 0.4150 coco/segm_mAP_50: 0.6540 coco/segm_mAP_75: 0.4440 coco/segm_mAP_s: 0.2230 coco/segm_mAP_m: 0.4460 coco/segm_mAP_l: 0.6000 data_time: 0.0384 time: 0.1973 +2024/01/17 07:10:33 - mmengine - INFO - Epoch(train) [25][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:22:42 time: 0.8132 data_time: 0.0407 memory: 10278 loss: 0.6017 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0303 loss_cls: 0.1669 acc: 99.0234 loss_bbox: 0.2024 loss_mask: 0.1813 +2024/01/17 07:10:57 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 07:11:13 - mmengine - INFO - Epoch(train) [25][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:22:03 time: 0.8090 data_time: 0.0384 memory: 10568 loss: 0.6865 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0368 loss_cls: 0.1767 acc: 85.5469 loss_bbox: 0.2413 loss_mask: 0.2096 +2024/01/17 07:11:54 - mmengine - INFO - Epoch(train) [25][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:21:23 time: 0.8089 data_time: 0.0305 memory: 10572 loss: 0.5196 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0248 loss_cls: 0.1223 acc: 98.6328 loss_bbox: 0.1732 loss_mask: 0.1842 +2024/01/17 07:12:33 - mmengine - INFO - Epoch(train) [25][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:20:43 time: 0.7792 data_time: 0.0321 memory: 10179 loss: 0.6148 loss_rpn_cls: 0.0280 loss_rpn_bbox: 0.0330 loss_cls: 0.1715 acc: 99.6094 loss_bbox: 0.1918 loss_mask: 0.1905 +2024/01/17 07:13:14 - mmengine - INFO - Epoch(train) [25][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:20:04 time: 0.8227 data_time: 0.0340 memory: 10516 loss: 0.6564 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0348 loss_cls: 0.1740 acc: 85.3516 loss_bbox: 0.2306 loss_mask: 0.2012 +2024/01/17 07:13:54 - mmengine - INFO - Epoch(train) [25][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:19:25 time: 0.7971 data_time: 0.0341 memory: 10067 loss: 0.5933 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0302 loss_cls: 0.1513 acc: 87.8906 loss_bbox: 0.1940 loss_mask: 0.2004 +2024/01/17 07:14:34 - mmengine - INFO - Epoch(train) [25][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:18:45 time: 0.8017 data_time: 0.0367 memory: 9338 loss: 0.5782 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0329 loss_cls: 0.1493 acc: 90.8203 loss_bbox: 0.1864 loss_mask: 0.1873 +2024/01/17 07:15:14 - mmengine - INFO - Epoch(train) [25][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:18:06 time: 0.8000 data_time: 0.0282 memory: 10593 loss: 0.4835 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0210 loss_cls: 0.1072 acc: 98.8281 loss_bbox: 0.1529 loss_mask: 0.1924 +2024/01/17 07:15:54 - mmengine - INFO - Epoch(train) [25][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:17:26 time: 0.8022 data_time: 0.0398 memory: 10404 loss: 0.6596 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0370 loss_cls: 0.1705 acc: 98.8281 loss_bbox: 0.2333 loss_mask: 0.2000 +2024/01/17 07:16:34 - mmengine - INFO - Epoch(train) [25][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:16:47 time: 0.8002 data_time: 0.0341 memory: 9364 loss: 0.6398 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0296 loss_cls: 0.1607 acc: 86.5234 loss_bbox: 0.2184 loss_mask: 0.2160 +2024/01/17 07:17:15 - mmengine - INFO - Epoch(train) [25][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:16:08 time: 0.8118 data_time: 0.0377 memory: 10513 loss: 0.6602 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0390 loss_cls: 0.1756 acc: 86.3281 loss_bbox: 0.2175 loss_mask: 0.2042 +2024/01/17 07:17:55 - mmengine - INFO - Epoch(train) [25][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:15:28 time: 0.8125 data_time: 0.0299 memory: 10568 loss: 0.4959 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0175 loss_cls: 0.1229 acc: 94.9219 loss_bbox: 0.1552 loss_mask: 0.1863 +2024/01/17 07:18:35 - mmengine - INFO - Epoch(train) [25][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:14:49 time: 0.8037 data_time: 0.0321 memory: 9949 loss: 0.5451 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0244 loss_cls: 0.1348 acc: 96.2891 loss_bbox: 0.1838 loss_mask: 0.1896 +2024/01/17 07:19:16 - mmengine - INFO - Epoch(train) [25][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:14:10 time: 0.8064 data_time: 0.0241 memory: 10404 loss: 0.4783 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0247 loss_cls: 0.1074 acc: 99.8047 loss_bbox: 0.1601 loss_mask: 0.1735 +2024/01/17 07:19:56 - mmengine - INFO - Epoch(train) [25][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:13:30 time: 0.7974 data_time: 0.0313 memory: 10067 loss: 0.5304 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0227 loss_cls: 0.1349 acc: 93.3594 loss_bbox: 0.1823 loss_mask: 0.1773 +2024/01/17 07:20:37 - mmengine - INFO - Epoch(train) [25][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:12:51 time: 0.8184 data_time: 0.0394 memory: 10401 loss: 0.6268 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0385 loss_cls: 0.1664 acc: 86.7188 loss_bbox: 0.2144 loss_mask: 0.1866 +2024/01/17 07:21:17 - mmengine - INFO - Epoch(train) [25][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:12:11 time: 0.8039 data_time: 0.0379 memory: 10571 loss: 0.6932 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0361 loss_cls: 0.1992 acc: 95.3125 loss_bbox: 0.2276 loss_mask: 0.2115 +2024/01/17 07:21:57 - mmengine - INFO - Epoch(train) [25][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:11:32 time: 0.8044 data_time: 0.0374 memory: 10391 loss: 0.5275 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0285 loss_cls: 0.1298 acc: 96.0938 loss_bbox: 0.1831 loss_mask: 0.1653 +2024/01/17 07:22:37 - mmengine - INFO - Epoch(train) [25][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:10:52 time: 0.7915 data_time: 0.0269 memory: 10021 loss: 0.5826 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0231 loss_cls: 0.1423 acc: 91.4062 loss_bbox: 0.2016 loss_mask: 0.1947 +2024/01/17 07:23:16 - mmengine - INFO - Epoch(train) [25][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:10:12 time: 0.7864 data_time: 0.0302 memory: 10430 loss: 0.6605 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0301 loss_cls: 0.1752 acc: 91.0156 loss_bbox: 0.2111 loss_mask: 0.2227 +2024/01/17 07:23:56 - mmengine - INFO - Epoch(train) [25][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:09:33 time: 0.7966 data_time: 0.0315 memory: 10738 loss: 0.5292 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0293 loss_cls: 0.1379 acc: 100.0000 loss_bbox: 0.1772 loss_mask: 0.1676 +2024/01/17 07:24:21 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 07:24:37 - mmengine - INFO - Epoch(train) [25][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:08:54 time: 0.8178 data_time: 0.0325 memory: 9847 loss: 0.6359 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0314 loss_cls: 0.1658 acc: 95.7031 loss_bbox: 0.2213 loss_mask: 0.2003 +2024/01/17 07:25:17 - mmengine - INFO - Epoch(train) [25][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:08:14 time: 0.7932 data_time: 0.0320 memory: 11099 loss: 0.4530 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0181 loss_cls: 0.1185 acc: 97.6562 loss_bbox: 0.1491 loss_mask: 0.1546 +2024/01/17 07:25:57 - mmengine - INFO - Epoch(train) [25][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:07:35 time: 0.8024 data_time: 0.0306 memory: 11102 loss: 0.6341 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0291 loss_cls: 0.1740 acc: 95.3125 loss_bbox: 0.2106 loss_mask: 0.1964 +2024/01/17 07:26:37 - mmengine - INFO - Epoch(train) [25][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:06:55 time: 0.8089 data_time: 0.0320 memory: 9986 loss: 0.5847 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0244 loss_cls: 0.1580 acc: 85.9375 loss_bbox: 0.1872 loss_mask: 0.1957 +2024/01/17 07:27:17 - mmengine - INFO - Epoch(train) [25][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:06:16 time: 0.7933 data_time: 0.0329 memory: 9362 loss: 0.6567 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0330 loss_cls: 0.1780 acc: 92.3828 loss_bbox: 0.2227 loss_mask: 0.2016 +2024/01/17 07:27:57 - mmengine - INFO - Epoch(train) [25][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:05:36 time: 0.7983 data_time: 0.0289 memory: 9947 loss: 0.5987 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0335 loss_cls: 0.1463 acc: 91.7969 loss_bbox: 0.2056 loss_mask: 0.1964 +2024/01/17 07:28:37 - mmengine - INFO - Epoch(train) [25][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:04:56 time: 0.7940 data_time: 0.0327 memory: 9366 loss: 0.5650 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0255 loss_cls: 0.1448 acc: 94.9219 loss_bbox: 0.1835 loss_mask: 0.1970 +2024/01/17 07:29:17 - mmengine - INFO - Epoch(train) [25][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:04:17 time: 0.8044 data_time: 0.0294 memory: 10986 loss: 0.5435 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0244 loss_cls: 0.1454 acc: 88.4766 loss_bbox: 0.1801 loss_mask: 0.1767 +2024/01/17 07:29:57 - mmengine - INFO - Epoch(train) [25][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:03:37 time: 0.8010 data_time: 0.0330 memory: 9437 loss: 0.6632 loss_rpn_cls: 0.0294 loss_rpn_bbox: 0.0431 loss_cls: 0.1837 acc: 96.4844 loss_bbox: 0.2139 loss_mask: 0.1932 +2024/01/17 07:30:37 - mmengine - INFO - Epoch(train) [25][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:02:58 time: 0.7963 data_time: 0.0284 memory: 10067 loss: 0.5493 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0295 loss_cls: 0.1449 acc: 98.6328 loss_bbox: 0.1785 loss_mask: 0.1768 +2024/01/17 07:31:17 - mmengine - INFO - Epoch(train) [25][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:02:18 time: 0.7999 data_time: 0.0289 memory: 10067 loss: 0.5129 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0218 loss_cls: 0.1298 acc: 99.0234 loss_bbox: 0.1615 loss_mask: 0.1802 +2024/01/17 07:31:56 - mmengine - INFO - Epoch(train) [25][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:01:39 time: 0.7899 data_time: 0.0296 memory: 9736 loss: 0.5789 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0264 loss_cls: 0.1525 acc: 99.4141 loss_bbox: 0.1879 loss_mask: 0.1920 +2024/01/17 07:32:36 - mmengine - INFO - Epoch(train) [25][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:00:59 time: 0.7979 data_time: 0.0389 memory: 10572 loss: 0.6278 loss_rpn_cls: 0.0353 loss_rpn_bbox: 0.0407 loss_cls: 0.1649 acc: 88.2812 loss_bbox: 0.2056 loss_mask: 0.1814 +2024/01/17 07:33:16 - mmengine - INFO - Epoch(train) [25][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 19:00:20 time: 0.8051 data_time: 0.0389 memory: 10074 loss: 0.5705 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0271 loss_cls: 0.1428 acc: 91.9922 loss_bbox: 0.1941 loss_mask: 0.1880 +2024/01/17 07:33:57 - mmengine - INFO - Epoch(train) [25][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:59:40 time: 0.8040 data_time: 0.0295 memory: 10571 loss: 0.5515 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0298 loss_cls: 0.1447 acc: 87.8906 loss_bbox: 0.1782 loss_mask: 0.1779 +2024/01/17 07:34:36 - mmengine - INFO - Epoch(train) [25][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:59:00 time: 0.7914 data_time: 0.0305 memory: 10789 loss: 0.6935 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0356 loss_cls: 0.1917 acc: 88.8672 loss_bbox: 0.2233 loss_mask: 0.2153 +2024/01/17 07:35:16 - mmengine - INFO - Epoch(train) [25][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:58:21 time: 0.7993 data_time: 0.0326 memory: 11136 loss: 0.5821 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0297 loss_cls: 0.1538 acc: 98.8281 loss_bbox: 0.1937 loss_mask: 0.1879 +2024/01/17 07:35:56 - mmengine - INFO - Epoch(train) [25][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:57:41 time: 0.7956 data_time: 0.0318 memory: 10429 loss: 0.5175 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0287 loss_cls: 0.1323 acc: 97.8516 loss_bbox: 0.1736 loss_mask: 0.1610 +2024/01/17 07:36:36 - mmengine - INFO - Epoch(train) [25][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:57:02 time: 0.8043 data_time: 0.0359 memory: 10278 loss: 0.5512 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0318 loss_cls: 0.1270 acc: 93.3594 loss_bbox: 0.1756 loss_mask: 0.1940 +2024/01/17 07:37:16 - mmengine - INFO - Epoch(train) [25][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:56:22 time: 0.7911 data_time: 0.0307 memory: 9601 loss: 0.5872 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0276 loss_cls: 0.1366 acc: 99.4141 loss_bbox: 0.1973 loss_mask: 0.2077 +2024/01/17 07:37:40 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 07:37:56 - mmengine - INFO - Epoch(train) [25][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:55:42 time: 0.7932 data_time: 0.0334 memory: 9243 loss: 0.5467 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0272 loss_cls: 0.1492 acc: 98.6328 loss_bbox: 0.1737 loss_mask: 0.1812 +2024/01/17 07:38:35 - mmengine - INFO - Epoch(train) [25][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:55:03 time: 0.7945 data_time: 0.0259 memory: 10060 loss: 0.4865 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0200 loss_cls: 0.1228 acc: 96.8750 loss_bbox: 0.1548 loss_mask: 0.1813 +2024/01/17 07:39:15 - mmengine - INFO - Epoch(train) [25][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:54:23 time: 0.7994 data_time: 0.0297 memory: 10067 loss: 0.6206 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0366 loss_cls: 0.1481 acc: 87.8906 loss_bbox: 0.2121 loss_mask: 0.1959 +2024/01/17 07:39:56 - mmengine - INFO - Epoch(train) [25][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:53:44 time: 0.8072 data_time: 0.0332 memory: 10067 loss: 0.6461 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0320 loss_cls: 0.1634 acc: 92.7734 loss_bbox: 0.2144 loss_mask: 0.2133 +2024/01/17 07:40:37 - mmengine - INFO - Epoch(train) [25][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:53:05 time: 0.8217 data_time: 0.0336 memory: 10572 loss: 0.6568 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0291 loss_cls: 0.1800 acc: 96.8750 loss_bbox: 0.2248 loss_mask: 0.2008 +2024/01/17 07:41:17 - mmengine - INFO - Epoch(train) [25][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:52:25 time: 0.7932 data_time: 0.0317 memory: 10430 loss: 0.5397 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0267 loss_cls: 0.1373 acc: 99.4141 loss_bbox: 0.1871 loss_mask: 0.1776 +2024/01/17 07:41:57 - mmengine - INFO - Epoch(train) [25][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:51:46 time: 0.8032 data_time: 0.0315 memory: 9737 loss: 0.6248 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0318 loss_cls: 0.1641 acc: 93.7500 loss_bbox: 0.2056 loss_mask: 0.1977 +2024/01/17 07:42:37 - mmengine - INFO - Epoch(train) [25][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:51:06 time: 0.8056 data_time: 0.0354 memory: 11309 loss: 0.6247 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0305 loss_cls: 0.1588 acc: 94.9219 loss_bbox: 0.2077 loss_mask: 0.2069 +2024/01/17 07:43:17 - mmengine - INFO - Epoch(train) [25][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:50:27 time: 0.7938 data_time: 0.0325 memory: 10572 loss: 0.6243 loss_rpn_cls: 0.0329 loss_rpn_bbox: 0.0292 loss_cls: 0.1619 acc: 90.0391 loss_bbox: 0.2075 loss_mask: 0.1929 +2024/01/17 07:43:57 - mmengine - INFO - Epoch(train) [25][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:49:47 time: 0.8027 data_time: 0.0334 memory: 10572 loss: 0.6616 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0342 loss_cls: 0.1751 acc: 99.0234 loss_bbox: 0.2320 loss_mask: 0.2008 +2024/01/17 07:44:37 - mmengine - INFO - Epoch(train) [25][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:49:08 time: 0.7976 data_time: 0.0295 memory: 10081 loss: 0.5843 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0353 loss_cls: 0.1565 acc: 98.2422 loss_bbox: 0.1879 loss_mask: 0.1789 +2024/01/17 07:45:17 - mmengine - INFO - Epoch(train) [25][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:48:28 time: 0.8064 data_time: 0.0349 memory: 10179 loss: 0.6779 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0343 loss_cls: 0.1876 acc: 100.0000 loss_bbox: 0.2273 loss_mask: 0.2072 +2024/01/17 07:45:57 - mmengine - INFO - Epoch(train) [25][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:47:48 time: 0.7865 data_time: 0.0332 memory: 10067 loss: 0.6454 loss_rpn_cls: 0.0278 loss_rpn_bbox: 0.0333 loss_cls: 0.1817 acc: 96.8750 loss_bbox: 0.2132 loss_mask: 0.1894 +2024/01/17 07:46:36 - mmengine - INFO - Epoch(train) [25][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:47:08 time: 0.7864 data_time: 0.0358 memory: 9601 loss: 0.6009 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0299 loss_cls: 0.1479 acc: 95.1172 loss_bbox: 0.2113 loss_mask: 0.1979 +2024/01/17 07:47:16 - mmengine - INFO - Epoch(train) [25][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:46:29 time: 0.8080 data_time: 0.0372 memory: 10572 loss: 0.6704 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0362 loss_cls: 0.1641 acc: 94.7266 loss_bbox: 0.2188 loss_mask: 0.2255 +2024/01/17 07:47:57 - mmengine - INFO - Epoch(train) [25][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:45:50 time: 0.8044 data_time: 0.0376 memory: 10120 loss: 0.6028 loss_rpn_cls: 0.0286 loss_rpn_bbox: 0.0327 loss_cls: 0.1681 acc: 97.8516 loss_bbox: 0.1988 loss_mask: 0.1746 +2024/01/17 07:48:36 - mmengine - INFO - Epoch(train) [25][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:45:10 time: 0.7896 data_time: 0.0332 memory: 9949 loss: 0.5790 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0352 loss_cls: 0.1421 acc: 86.5234 loss_bbox: 0.1974 loss_mask: 0.1850 +2024/01/17 07:49:16 - mmengine - INFO - Epoch(train) [25][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:44:30 time: 0.7966 data_time: 0.0304 memory: 10394 loss: 0.5054 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0230 loss_cls: 0.1307 acc: 94.7266 loss_bbox: 0.1645 loss_mask: 0.1742 +2024/01/17 07:49:56 - mmengine - INFO - Epoch(train) [25][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:43:51 time: 0.7948 data_time: 0.0374 memory: 10572 loss: 0.6015 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0339 loss_cls: 0.1597 acc: 99.4141 loss_bbox: 0.2049 loss_mask: 0.1841 +2024/01/17 07:50:36 - mmengine - INFO - Epoch(train) [25][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:43:11 time: 0.8013 data_time: 0.0294 memory: 9751 loss: 0.5611 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0250 loss_cls: 0.1368 acc: 98.8281 loss_bbox: 0.1845 loss_mask: 0.2044 +2024/01/17 07:51:00 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 07:51:15 - mmengine - INFO - Epoch(train) [25][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:42:31 time: 0.7882 data_time: 0.0341 memory: 10067 loss: 0.6532 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0356 loss_cls: 0.1831 acc: 98.2422 loss_bbox: 0.2140 loss_mask: 0.1968 +2024/01/17 07:51:55 - mmengine - INFO - Epoch(train) [25][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:41:52 time: 0.7999 data_time: 0.0341 memory: 10493 loss: 0.6382 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0352 loss_cls: 0.1525 acc: 93.9453 loss_bbox: 0.2131 loss_mask: 0.2192 +2024/01/17 07:52:36 - mmengine - INFO - Epoch(train) [25][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:41:12 time: 0.8037 data_time: 0.0353 memory: 9858 loss: 0.6100 loss_rpn_cls: 0.0270 loss_rpn_bbox: 0.0339 loss_cls: 0.1575 acc: 87.6953 loss_bbox: 0.1958 loss_mask: 0.1958 +2024/01/17 07:53:15 - mmengine - INFO - Epoch(train) [25][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:40:32 time: 0.7815 data_time: 0.0275 memory: 10354 loss: 0.5342 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0223 loss_cls: 0.1357 acc: 97.8516 loss_bbox: 0.1740 loss_mask: 0.1851 +2024/01/17 07:53:54 - mmengine - INFO - Epoch(train) [25][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:39:52 time: 0.7786 data_time: 0.0302 memory: 9949 loss: 0.6481 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0263 loss_cls: 0.1889 acc: 99.8047 loss_bbox: 0.1946 loss_mask: 0.2147 +2024/01/17 07:54:34 - mmengine - INFO - Epoch(train) [25][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:39:13 time: 0.8107 data_time: 0.0338 memory: 10304 loss: 0.6192 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0310 loss_cls: 0.1679 acc: 99.6094 loss_bbox: 0.2035 loss_mask: 0.1907 +2024/01/17 07:55:13 - mmengine - INFO - Epoch(train) [25][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:38:33 time: 0.7832 data_time: 0.0303 memory: 10179 loss: 0.5669 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0245 loss_cls: 0.1447 acc: 87.6953 loss_bbox: 0.1925 loss_mask: 0.1804 +2024/01/17 07:55:53 - mmengine - INFO - Epoch(train) [25][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:37:53 time: 0.7961 data_time: 0.0330 memory: 10572 loss: 0.5766 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0309 loss_cls: 0.1473 acc: 96.6797 loss_bbox: 0.1940 loss_mask: 0.1832 +2024/01/17 07:56:33 - mmengine - INFO - Epoch(train) [25][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:37:14 time: 0.7957 data_time: 0.0315 memory: 10583 loss: 0.6168 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0324 loss_cls: 0.1565 acc: 94.9219 loss_bbox: 0.2063 loss_mask: 0.2054 +2024/01/17 07:57:12 - mmengine - INFO - Epoch(train) [25][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:36:34 time: 0.7895 data_time: 0.0349 memory: 10572 loss: 0.6249 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0297 loss_cls: 0.1703 acc: 86.5234 loss_bbox: 0.2183 loss_mask: 0.1850 +2024/01/17 07:57:52 - mmengine - INFO - Epoch(train) [25][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:35:54 time: 0.7880 data_time: 0.0324 memory: 10572 loss: 0.6525 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0351 loss_cls: 0.1781 acc: 97.2656 loss_bbox: 0.2124 loss_mask: 0.2045 +2024/01/17 07:58:31 - mmengine - INFO - Epoch(train) [25][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:35:14 time: 0.7879 data_time: 0.0321 memory: 9899 loss: 0.5778 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0292 loss_cls: 0.1479 acc: 92.3828 loss_bbox: 0.1850 loss_mask: 0.1931 +2024/01/17 07:59:11 - mmengine - INFO - Epoch(train) [25][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:34:35 time: 0.7978 data_time: 0.0304 memory: 10572 loss: 0.6519 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0358 loss_cls: 0.1660 acc: 98.8281 loss_bbox: 0.2076 loss_mask: 0.2193 +2024/01/17 07:59:51 - mmengine - INFO - Epoch(train) [25][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:33:55 time: 0.7982 data_time: 0.0400 memory: 10571 loss: 0.6748 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0373 loss_cls: 0.1787 acc: 94.9219 loss_bbox: 0.2293 loss_mask: 0.2107 +2024/01/17 08:00:30 - mmengine - INFO - Epoch(train) [25][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:33:15 time: 0.7850 data_time: 0.0330 memory: 10252 loss: 0.6008 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0306 loss_cls: 0.1532 acc: 92.7734 loss_bbox: 0.2103 loss_mask: 0.1904 +2024/01/17 08:01:10 - mmengine - INFO - Epoch(train) [25][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:32:36 time: 0.7944 data_time: 0.0373 memory: 10875 loss: 0.6575 loss_rpn_cls: 0.0330 loss_rpn_bbox: 0.0366 loss_cls: 0.1802 acc: 88.0859 loss_bbox: 0.2059 loss_mask: 0.2018 +2024/01/17 08:01:50 - mmengine - INFO - Epoch(train) [25][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:31:56 time: 0.7971 data_time: 0.0342 memory: 9525 loss: 0.6452 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0305 loss_cls: 0.1696 acc: 84.1797 loss_bbox: 0.2242 loss_mask: 0.2004 +2024/01/17 08:02:29 - mmengine - INFO - Epoch(train) [25][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:31:16 time: 0.7871 data_time: 0.0329 memory: 10067 loss: 0.5498 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0289 loss_cls: 0.1327 acc: 99.4141 loss_bbox: 0.1870 loss_mask: 0.1865 +2024/01/17 08:03:09 - mmengine - INFO - Epoch(train) [25][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:30:37 time: 0.7952 data_time: 0.0368 memory: 10572 loss: 0.6808 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0362 loss_cls: 0.1755 acc: 99.8047 loss_bbox: 0.2359 loss_mask: 0.2069 +2024/01/17 08:03:49 - mmengine - INFO - Epoch(train) [25][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:29:57 time: 0.7912 data_time: 0.0307 memory: 10374 loss: 0.5485 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0288 loss_cls: 0.1373 acc: 90.6250 loss_bbox: 0.1811 loss_mask: 0.1830 +2024/01/17 08:04:12 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 08:04:29 - mmengine - INFO - Epoch(train) [25][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:29:17 time: 0.7932 data_time: 0.0315 memory: 10202 loss: 0.5444 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0368 loss_cls: 0.1335 acc: 95.1172 loss_bbox: 0.1700 loss_mask: 0.1814 +2024/01/17 08:05:08 - mmengine - INFO - Epoch(train) [25][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:28:37 time: 0.7919 data_time: 0.0348 memory: 10227 loss: 0.6143 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0316 loss_cls: 0.1737 acc: 84.3750 loss_bbox: 0.2028 loss_mask: 0.1880 +2024/01/17 08:05:48 - mmengine - INFO - Epoch(train) [25][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:27:58 time: 0.7929 data_time: 0.0344 memory: 10063 loss: 0.5849 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0294 loss_cls: 0.1627 acc: 99.0234 loss_bbox: 0.1915 loss_mask: 0.1812 +2024/01/17 08:06:27 - mmengine - INFO - Epoch(train) [25][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:27:18 time: 0.7910 data_time: 0.0310 memory: 10067 loss: 0.4911 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0230 loss_cls: 0.1243 acc: 94.7266 loss_bbox: 0.1644 loss_mask: 0.1660 +2024/01/17 08:07:07 - mmengine - INFO - Epoch(train) [25][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:26:38 time: 0.8002 data_time: 0.0333 memory: 10391 loss: 0.5501 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0279 loss_cls: 0.1430 acc: 89.2578 loss_bbox: 0.1820 loss_mask: 0.1818 +2024/01/17 08:07:48 - mmengine - INFO - Epoch(train) [25][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:25:59 time: 0.8046 data_time: 0.0348 memory: 9850 loss: 0.6578 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0341 loss_cls: 0.1609 acc: 93.9453 loss_bbox: 0.2321 loss_mask: 0.2129 +2024/01/17 08:08:28 - mmengine - INFO - Epoch(train) [25][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:25:19 time: 0.7971 data_time: 0.0331 memory: 10572 loss: 0.6485 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0347 loss_cls: 0.1628 acc: 99.8047 loss_bbox: 0.2211 loss_mask: 0.2042 +2024/01/17 08:09:08 - mmengine - INFO - Epoch(train) [25][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:24:40 time: 0.8062 data_time: 0.0325 memory: 10555 loss: 0.5960 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0351 loss_cls: 0.1642 acc: 93.9453 loss_bbox: 0.1866 loss_mask: 0.1894 +2024/01/17 08:09:47 - mmengine - INFO - Epoch(train) [25][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:24:00 time: 0.7772 data_time: 0.0297 memory: 9604 loss: 0.5963 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0238 loss_cls: 0.1559 acc: 96.2891 loss_bbox: 0.2004 loss_mask: 0.2028 +2024/01/17 08:10:27 - mmengine - INFO - Epoch(train) [25][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:23:20 time: 0.7925 data_time: 0.0310 memory: 10789 loss: 0.5274 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0242 loss_cls: 0.1258 acc: 99.2188 loss_bbox: 0.1689 loss_mask: 0.1863 +2024/01/17 08:11:07 - mmengine - INFO - Epoch(train) [25][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:22:41 time: 0.8016 data_time: 0.0312 memory: 10067 loss: 0.4726 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0223 loss_cls: 0.1120 acc: 95.3125 loss_bbox: 0.1432 loss_mask: 0.1777 +2024/01/17 08:11:46 - mmengine - INFO - Epoch(train) [25][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:22:01 time: 0.7859 data_time: 0.0350 memory: 10278 loss: 0.6839 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0365 loss_cls: 0.1845 acc: 93.9453 loss_bbox: 0.2224 loss_mask: 0.2172 +2024/01/17 08:12:27 - mmengine - INFO - Epoch(train) [25][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:21:22 time: 0.8178 data_time: 0.0355 memory: 10568 loss: 0.6361 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0387 loss_cls: 0.1750 acc: 99.0234 loss_bbox: 0.2081 loss_mask: 0.1886 +2024/01/17 08:13:07 - mmengine - INFO - Epoch(train) [25][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:20:42 time: 0.7998 data_time: 0.0333 memory: 10347 loss: 0.5904 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0319 loss_cls: 0.1441 acc: 91.7969 loss_bbox: 0.1946 loss_mask: 0.2048 +2024/01/17 08:13:46 - mmengine - INFO - Epoch(train) [25][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:20:02 time: 0.7802 data_time: 0.0321 memory: 9517 loss: 0.6800 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0396 loss_cls: 0.1918 acc: 93.1641 loss_bbox: 0.2143 loss_mask: 0.2113 +2024/01/17 08:14:26 - mmengine - INFO - Epoch(train) [25][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:19:23 time: 0.7938 data_time: 0.0380 memory: 10986 loss: 0.7014 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0375 loss_cls: 0.1722 acc: 99.6094 loss_bbox: 0.2482 loss_mask: 0.2178 +2024/01/17 08:15:05 - mmengine - INFO - Epoch(train) [25][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:18:43 time: 0.7895 data_time: 0.0326 memory: 11102 loss: 0.6713 loss_rpn_cls: 0.0304 loss_rpn_bbox: 0.0371 loss_cls: 0.1705 acc: 97.8516 loss_bbox: 0.2237 loss_mask: 0.2097 +2024/01/17 08:15:45 - mmengine - INFO - Epoch(train) [25][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:18:03 time: 0.7872 data_time: 0.0332 memory: 9800 loss: 0.6501 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0397 loss_cls: 0.1818 acc: 97.0703 loss_bbox: 0.2182 loss_mask: 0.1824 +2024/01/17 08:16:25 - mmengine - INFO - Epoch(train) [25][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:17:24 time: 0.8095 data_time: 0.0313 memory: 10067 loss: 0.5236 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0292 loss_cls: 0.1256 acc: 97.4609 loss_bbox: 0.1664 loss_mask: 0.1780 +2024/01/17 08:17:04 - mmengine - INFO - Epoch(train) [25][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:16:44 time: 0.7818 data_time: 0.0362 memory: 9601 loss: 0.6754 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0352 loss_cls: 0.1702 acc: 83.9844 loss_bbox: 0.2335 loss_mask: 0.2118 +2024/01/17 08:17:28 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 08:17:44 - mmengine - INFO - Epoch(train) [25][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:16:04 time: 0.7992 data_time: 0.0388 memory: 9570 loss: 0.6568 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0293 loss_cls: 0.1722 acc: 95.7031 loss_bbox: 0.2176 loss_mask: 0.2185 +2024/01/17 08:18:24 - mmengine - INFO - Epoch(train) [25][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:15:25 time: 0.8022 data_time: 0.0345 memory: 9526 loss: 0.6184 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0288 loss_cls: 0.1761 acc: 96.4844 loss_bbox: 0.2079 loss_mask: 0.1896 +2024/01/17 08:19:04 - mmengine - INFO - Epoch(train) [25][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:14:45 time: 0.7934 data_time: 0.0350 memory: 10067 loss: 0.6624 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0363 loss_cls: 0.1781 acc: 97.4609 loss_bbox: 0.2228 loss_mask: 0.1991 +2024/01/17 08:19:44 - mmengine - INFO - Epoch(train) [25][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:14:05 time: 0.8057 data_time: 0.0334 memory: 9270 loss: 0.6406 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0327 loss_cls: 0.1736 acc: 99.2188 loss_bbox: 0.2119 loss_mask: 0.2055 +2024/01/17 08:20:25 - mmengine - INFO - Epoch(train) [25][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:13:26 time: 0.8141 data_time: 0.0305 memory: 10067 loss: 0.5631 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0347 loss_cls: 0.1363 acc: 95.8984 loss_bbox: 0.1800 loss_mask: 0.1918 +2024/01/17 08:21:05 - mmengine - INFO - Epoch(train) [25][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:12:47 time: 0.7940 data_time: 0.0308 memory: 10513 loss: 0.5933 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0289 loss_cls: 0.1591 acc: 96.2891 loss_bbox: 0.1987 loss_mask: 0.1873 +2024/01/17 08:21:44 - mmengine - INFO - Epoch(train) [25][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:12:07 time: 0.7908 data_time: 0.0352 memory: 9852 loss: 0.6143 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0328 loss_cls: 0.1809 acc: 84.5703 loss_bbox: 0.1883 loss_mask: 0.1941 +2024/01/17 08:22:24 - mmengine - INFO - Epoch(train) [25][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:11:27 time: 0.7839 data_time: 0.0313 memory: 10067 loss: 0.6186 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0321 loss_cls: 0.1670 acc: 90.8203 loss_bbox: 0.1991 loss_mask: 0.1937 +2024/01/17 08:23:04 - mmengine - INFO - Epoch(train) [25][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:10:48 time: 0.8110 data_time: 0.0277 memory: 10424 loss: 0.5772 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0274 loss_cls: 0.1499 acc: 92.5781 loss_bbox: 0.1928 loss_mask: 0.1912 +2024/01/17 08:23:44 - mmengine - INFO - Epoch(train) [25][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:10:08 time: 0.8023 data_time: 0.0314 memory: 9800 loss: 0.5605 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0287 loss_cls: 0.1367 acc: 97.8516 loss_bbox: 0.1766 loss_mask: 0.1952 +2024/01/17 08:24:25 - mmengine - INFO - Epoch(train) [25][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:09:29 time: 0.8045 data_time: 0.0341 memory: 10067 loss: 0.5913 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0290 loss_cls: 0.1541 acc: 97.0703 loss_bbox: 0.1962 loss_mask: 0.1911 +2024/01/17 08:25:05 - mmengine - INFO - Epoch(train) [25][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:08:49 time: 0.8035 data_time: 0.0326 memory: 11513 loss: 0.5701 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0300 loss_cls: 0.1395 acc: 98.0469 loss_bbox: 0.1957 loss_mask: 0.1865 +2024/01/17 08:25:44 - mmengine - INFO - Epoch(train) [25][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:08:09 time: 0.7911 data_time: 0.0339 memory: 10572 loss: 0.6309 loss_rpn_cls: 0.0334 loss_rpn_bbox: 0.0333 loss_cls: 0.1582 acc: 94.1406 loss_bbox: 0.2094 loss_mask: 0.1965 +2024/01/17 08:26:25 - mmengine - INFO - Epoch(train) [25][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:07:30 time: 0.8030 data_time: 0.0374 memory: 10582 loss: 0.5562 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0316 loss_cls: 0.1392 acc: 96.2891 loss_bbox: 0.1729 loss_mask: 0.1933 +2024/01/17 08:27:04 - mmengine - INFO - Epoch(train) [25][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:06:50 time: 0.7967 data_time: 0.0313 memory: 10568 loss: 0.5939 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0229 loss_cls: 0.1536 acc: 97.6562 loss_bbox: 0.2038 loss_mask: 0.1961 +2024/01/17 08:27:44 - mmengine - INFO - Epoch(train) [25][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:06:11 time: 0.8020 data_time: 0.0331 memory: 10499 loss: 0.6448 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0408 loss_cls: 0.1612 acc: 91.0156 loss_bbox: 0.2116 loss_mask: 0.2081 +2024/01/17 08:28:24 - mmengine - INFO - Epoch(train) [25][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:05:31 time: 0.7899 data_time: 0.0347 memory: 10572 loss: 0.5959 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0293 loss_cls: 0.1599 acc: 91.4062 loss_bbox: 0.1954 loss_mask: 0.1919 +2024/01/17 08:29:04 - mmengine - INFO - Epoch(train) [25][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:04:52 time: 0.8024 data_time: 0.0357 memory: 10872 loss: 0.6820 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0347 loss_cls: 0.1854 acc: 92.9688 loss_bbox: 0.2263 loss_mask: 0.2116 +2024/01/17 08:29:44 - mmengine - INFO - Epoch(train) [25][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:04:12 time: 0.7967 data_time: 0.0320 memory: 9949 loss: 0.5704 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0305 loss_cls: 0.1624 acc: 92.5781 loss_bbox: 0.1793 loss_mask: 0.1808 +2024/01/17 08:30:24 - mmengine - INFO - Epoch(train) [25][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:03:32 time: 0.7982 data_time: 0.0337 memory: 10423 loss: 0.6672 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0384 loss_cls: 0.1650 acc: 99.6094 loss_bbox: 0.2281 loss_mask: 0.2150 +2024/01/17 08:30:48 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 08:31:03 - mmengine - INFO - Epoch(train) [25][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:02:53 time: 0.7856 data_time: 0.0307 memory: 10063 loss: 0.5834 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0344 loss_cls: 0.1473 acc: 99.2188 loss_bbox: 0.1872 loss_mask: 0.1934 +2024/01/17 08:31:42 - mmengine - INFO - Epoch(train) [25][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:02:13 time: 0.7810 data_time: 0.0308 memory: 10582 loss: 0.5410 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0246 loss_cls: 0.1335 acc: 96.2891 loss_bbox: 0.1780 loss_mask: 0.1914 +2024/01/17 08:32:23 - mmengine - INFO - Epoch(train) [25][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:01:33 time: 0.8023 data_time: 0.0330 memory: 10334 loss: 0.5689 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0292 loss_cls: 0.1490 acc: 98.0469 loss_bbox: 0.1834 loss_mask: 0.1875 +2024/01/17 08:33:03 - mmengine - INFO - Epoch(train) [25][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:00:54 time: 0.8003 data_time: 0.0310 memory: 10572 loss: 0.5976 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0339 loss_cls: 0.1516 acc: 92.9688 loss_bbox: 0.1992 loss_mask: 0.1921 +2024/01/17 08:33:43 - mmengine - INFO - Epoch(train) [25][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 18:00:14 time: 0.7984 data_time: 0.0295 memory: 10572 loss: 0.5952 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0279 loss_cls: 0.1545 acc: 92.3828 loss_bbox: 0.1954 loss_mask: 0.1938 +2024/01/17 08:34:22 - mmengine - INFO - Epoch(train) [25][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:59:34 time: 0.7949 data_time: 0.0309 memory: 9459 loss: 0.6507 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0304 loss_cls: 0.1739 acc: 96.4844 loss_bbox: 0.2103 loss_mask: 0.2187 +2024/01/17 08:35:02 - mmengine - INFO - Epoch(train) [25][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:58:55 time: 0.7937 data_time: 0.0274 memory: 10653 loss: 0.4902 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0228 loss_cls: 0.1209 acc: 87.6953 loss_bbox: 0.1642 loss_mask: 0.1710 +2024/01/17 08:35:42 - mmengine - INFO - Epoch(train) [25][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:58:15 time: 0.7915 data_time: 0.0355 memory: 9437 loss: 0.6408 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0286 loss_cls: 0.1693 acc: 99.4141 loss_bbox: 0.2074 loss_mask: 0.2054 +2024/01/17 08:36:22 - mmengine - INFO - Epoch(train) [25][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:57:36 time: 0.8067 data_time: 0.0336 memory: 9850 loss: 0.6851 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0429 loss_cls: 0.1894 acc: 98.2422 loss_bbox: 0.2416 loss_mask: 0.1935 +2024/01/17 08:37:01 - mmengine - INFO - Epoch(train) [25][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:56:56 time: 0.7849 data_time: 0.0313 memory: 10528 loss: 0.6111 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0273 loss_cls: 0.1763 acc: 83.3984 loss_bbox: 0.2038 loss_mask: 0.1771 +2024/01/17 08:37:40 - mmengine - INFO - Epoch(train) [25][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:56:16 time: 0.7814 data_time: 0.0314 memory: 9737 loss: 0.5028 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0235 loss_cls: 0.1243 acc: 90.8203 loss_bbox: 0.1507 loss_mask: 0.1870 +2024/01/17 08:38:21 - mmengine - INFO - Epoch(train) [25][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:55:36 time: 0.8073 data_time: 0.0262 memory: 9949 loss: 0.4878 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0196 loss_cls: 0.1191 acc: 99.8047 loss_bbox: 0.1489 loss_mask: 0.1889 +2024/01/17 08:39:02 - mmengine - INFO - Epoch(train) [25][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:54:57 time: 0.8250 data_time: 0.0297 memory: 11514 loss: 0.6060 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0271 loss_cls: 0.1526 acc: 98.8281 loss_bbox: 0.2136 loss_mask: 0.1969 +2024/01/17 08:39:42 - mmengine - INFO - Epoch(train) [25][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:54:18 time: 0.7899 data_time: 0.0372 memory: 10871 loss: 0.5914 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0345 loss_cls: 0.1559 acc: 98.2422 loss_bbox: 0.1878 loss_mask: 0.1931 +2024/01/17 08:40:22 - mmengine - INFO - Epoch(train) [25][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:53:38 time: 0.8090 data_time: 0.0294 memory: 10067 loss: 0.5172 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0214 loss_cls: 0.1174 acc: 98.4375 loss_bbox: 0.1736 loss_mask: 0.1860 +2024/01/17 08:41:01 - mmengine - INFO - Epoch(train) [25][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:52:58 time: 0.7831 data_time: 0.0333 memory: 10572 loss: 0.6375 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0297 loss_cls: 0.1724 acc: 86.1328 loss_bbox: 0.2245 loss_mask: 0.1879 +2024/01/17 08:41:41 - mmengine - INFO - Epoch(train) [25][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:52:18 time: 0.7869 data_time: 0.0277 memory: 10067 loss: 0.5519 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0246 loss_cls: 0.1486 acc: 83.0078 loss_bbox: 0.1872 loss_mask: 0.1763 +2024/01/17 08:42:20 - mmengine - INFO - Epoch(train) [25][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:51:39 time: 0.7945 data_time: 0.0357 memory: 10067 loss: 0.6122 loss_rpn_cls: 0.0252 loss_rpn_bbox: 0.0376 loss_cls: 0.1560 acc: 91.4062 loss_bbox: 0.1964 loss_mask: 0.1972 +2024/01/17 08:43:01 - mmengine - INFO - Epoch(train) [25][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:50:59 time: 0.8056 data_time: 0.0329 memory: 10582 loss: 0.6104 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0318 loss_cls: 0.1702 acc: 96.2891 loss_bbox: 0.1990 loss_mask: 0.1929 +2024/01/17 08:43:41 - mmengine - INFO - Epoch(train) [25][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:50:20 time: 0.8074 data_time: 0.0317 memory: 10816 loss: 0.6209 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0269 loss_cls: 0.1581 acc: 94.5312 loss_bbox: 0.2218 loss_mask: 0.2005 +2024/01/17 08:44:05 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 08:44:21 - mmengine - INFO - Epoch(train) [25][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:49:41 time: 0.8064 data_time: 0.0298 memory: 10572 loss: 0.5162 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0228 loss_cls: 0.1403 acc: 94.9219 loss_bbox: 0.1793 loss_mask: 0.1576 +2024/01/17 08:45:01 - mmengine - INFO - Epoch(train) [25][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:49:01 time: 0.7862 data_time: 0.0320 memory: 9905 loss: 0.6154 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0296 loss_cls: 0.1576 acc: 99.2188 loss_bbox: 0.2089 loss_mask: 0.1930 +2024/01/17 08:45:40 - mmengine - INFO - Epoch(train) [25][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:48:21 time: 0.7885 data_time: 0.0288 memory: 10572 loss: 0.6150 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0292 loss_cls: 0.1696 acc: 91.2109 loss_bbox: 0.2096 loss_mask: 0.1899 +2024/01/17 08:46:20 - mmengine - INFO - Epoch(train) [25][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:47:41 time: 0.7989 data_time: 0.0286 memory: 9601 loss: 0.5463 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0267 loss_cls: 0.1377 acc: 88.2812 loss_bbox: 0.1817 loss_mask: 0.1825 +2024/01/17 08:47:00 - mmengine - INFO - Epoch(train) [25][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:47:02 time: 0.7955 data_time: 0.0259 memory: 9800 loss: 0.5325 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0243 loss_cls: 0.1460 acc: 99.8047 loss_bbox: 0.1691 loss_mask: 0.1726 +2024/01/17 08:47:24 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 08:47:24 - mmengine - INFO - Saving checkpoint at 25 epochs +2024/01/17 08:47:38 - mmengine - INFO - Epoch(val) [25][ 50/313] eta: 0:00:57 time: 0.2177 data_time: 0.0565 memory: 9601 +2024/01/17 08:47:48 - mmengine - INFO - Epoch(val) [25][100/313] eta: 0:00:44 time: 0.2009 data_time: 0.0397 memory: 2388 +2024/01/17 08:47:58 - mmengine - INFO - Epoch(val) [25][150/313] eta: 0:00:33 time: 0.1986 data_time: 0.0399 memory: 2431 +2024/01/17 08:48:08 - mmengine - INFO - Epoch(val) [25][200/313] eta: 0:00:23 time: 0.1996 data_time: 0.0358 memory: 2403 +2024/01/17 08:48:17 - mmengine - INFO - Epoch(val) [25][250/313] eta: 0:00:12 time: 0.1743 data_time: 0.0173 memory: 2431 +2024/01/17 08:48:27 - mmengine - INFO - Epoch(val) [25][300/313] eta: 0:00:02 time: 0.2100 data_time: 0.0489 memory: 2403 +2024/01/17 08:48:37 - mmengine - INFO - Evaluating bbox... +2024/01/17 08:49:01 - mmengine - INFO - bbox_mAP_copypaste: 0.471 0.686 0.518 0.308 0.510 0.617 +2024/01/17 08:49:01 - mmengine - INFO - Evaluating segm... +2024/01/17 08:49:30 - mmengine - INFO - segm_mAP_copypaste: 0.417 0.650 0.446 0.222 0.452 0.602 +2024/01/17 08:49:31 - mmengine - INFO - Epoch(val) [25][313/313] coco/bbox_mAP: 0.4710 coco/bbox_mAP_50: 0.6860 coco/bbox_mAP_75: 0.5180 coco/bbox_mAP_s: 0.3080 coco/bbox_mAP_m: 0.5100 coco/bbox_mAP_l: 0.6170 coco/segm_mAP: 0.4170 coco/segm_mAP_50: 0.6500 coco/segm_mAP_75: 0.4460 coco/segm_mAP_s: 0.2220 coco/segm_mAP_m: 0.4520 coco/segm_mAP_l: 0.6020 data_time: 0.0381 time: 0.1984 +2024/01/17 08:50:11 - mmengine - INFO - Epoch(train) [26][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:45:58 time: 0.8004 data_time: 0.0441 memory: 10252 loss: 0.6072 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0361 loss_cls: 0.1422 acc: 98.0469 loss_bbox: 0.2100 loss_mask: 0.1987 +2024/01/17 08:50:52 - mmengine - INFO - Epoch(train) [26][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:45:19 time: 0.8195 data_time: 0.0349 memory: 10077 loss: 0.6681 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0350 loss_cls: 0.1742 acc: 97.8516 loss_bbox: 0.2382 loss_mask: 0.2038 +2024/01/17 08:51:31 - mmengine - INFO - Epoch(train) [26][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:44:39 time: 0.7868 data_time: 0.0340 memory: 10067 loss: 0.5490 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0272 loss_cls: 0.1320 acc: 99.8047 loss_bbox: 0.1820 loss_mask: 0.1885 +2024/01/17 08:52:11 - mmengine - INFO - Epoch(train) [26][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:44:00 time: 0.7900 data_time: 0.0308 memory: 10506 loss: 0.4991 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0192 loss_cls: 0.1228 acc: 90.8203 loss_bbox: 0.1681 loss_mask: 0.1769 +2024/01/17 08:52:50 - mmengine - INFO - Epoch(train) [26][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:43:20 time: 0.7900 data_time: 0.0320 memory: 10572 loss: 0.5709 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0229 loss_cls: 0.1400 acc: 95.8984 loss_bbox: 0.1855 loss_mask: 0.2096 +2024/01/17 08:53:31 - mmengine - INFO - Epoch(train) [26][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:42:40 time: 0.8080 data_time: 0.0349 memory: 10304 loss: 0.6240 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0414 loss_cls: 0.1688 acc: 99.2188 loss_bbox: 0.2106 loss_mask: 0.1832 +2024/01/17 08:54:11 - mmengine - INFO - Epoch(train) [26][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:42:01 time: 0.8072 data_time: 0.0324 memory: 10093 loss: 0.5693 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0256 loss_cls: 0.1435 acc: 91.0156 loss_bbox: 0.1879 loss_mask: 0.1963 +2024/01/17 08:54:51 - mmengine - INFO - Epoch(train) [26][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:41:21 time: 0.7942 data_time: 0.0324 memory: 9364 loss: 0.5404 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0255 loss_cls: 0.1472 acc: 95.3125 loss_bbox: 0.1815 loss_mask: 0.1734 +2024/01/17 08:55:30 - mmengine - INFO - Epoch(train) [26][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:40:41 time: 0.7772 data_time: 0.0316 memory: 9420 loss: 0.5253 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0232 loss_cls: 0.1250 acc: 99.0234 loss_bbox: 0.1718 loss_mask: 0.1846 +2024/01/17 08:56:09 - mmengine - INFO - Epoch(train) [26][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:40:02 time: 0.7910 data_time: 0.0346 memory: 10013 loss: 0.5561 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0282 loss_cls: 0.1445 acc: 99.6094 loss_bbox: 0.1772 loss_mask: 0.1857 +2024/01/17 08:56:49 - mmengine - INFO - Epoch(train) [26][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:39:22 time: 0.7907 data_time: 0.0271 memory: 10173 loss: 0.5210 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0273 loss_cls: 0.1321 acc: 97.6562 loss_bbox: 0.1733 loss_mask: 0.1729 +2024/01/17 08:57:29 - mmengine - INFO - Epoch(train) [26][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:38:42 time: 0.8011 data_time: 0.0300 memory: 10571 loss: 0.6018 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0306 loss_cls: 0.1676 acc: 86.9141 loss_bbox: 0.2009 loss_mask: 0.1810 +2024/01/17 08:58:09 - mmengine - INFO - Epoch(train) [26][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:38:03 time: 0.8019 data_time: 0.0369 memory: 10568 loss: 0.7060 loss_rpn_cls: 0.0283 loss_rpn_bbox: 0.0367 loss_cls: 0.1778 acc: 90.8203 loss_bbox: 0.2388 loss_mask: 0.2243 +2024/01/17 08:58:49 - mmengine - INFO - Epoch(train) [26][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:37:23 time: 0.7931 data_time: 0.0391 memory: 10119 loss: 0.6090 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0359 loss_cls: 0.1568 acc: 95.8984 loss_bbox: 0.1931 loss_mask: 0.2007 +2024/01/17 08:59:29 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 08:59:29 - mmengine - INFO - Epoch(train) [26][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:36:44 time: 0.8051 data_time: 0.0330 memory: 11102 loss: 0.6137 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0330 loss_cls: 0.1640 acc: 99.2188 loss_bbox: 0.1977 loss_mask: 0.2006 +2024/01/17 09:00:09 - mmengine - INFO - Epoch(train) [26][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:36:04 time: 0.7938 data_time: 0.0341 memory: 10572 loss: 0.6152 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0345 loss_cls: 0.1601 acc: 97.8516 loss_bbox: 0.2043 loss_mask: 0.1916 +2024/01/17 09:00:48 - mmengine - INFO - Epoch(train) [26][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:35:24 time: 0.7885 data_time: 0.0309 memory: 10572 loss: 0.5191 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0268 loss_cls: 0.1268 acc: 82.6172 loss_bbox: 0.1669 loss_mask: 0.1760 +2024/01/17 09:01:29 - mmengine - INFO - Epoch(train) [26][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:34:45 time: 0.8210 data_time: 0.0317 memory: 10665 loss: 0.5109 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0264 loss_cls: 0.1236 acc: 98.0469 loss_bbox: 0.1660 loss_mask: 0.1833 +2024/01/17 09:02:09 - mmengine - INFO - Epoch(train) [26][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:34:05 time: 0.7932 data_time: 0.0321 memory: 10582 loss: 0.5774 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0273 loss_cls: 0.1581 acc: 81.2500 loss_bbox: 0.1917 loss_mask: 0.1858 +2024/01/17 09:02:49 - mmengine - INFO - Epoch(train) [26][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:33:26 time: 0.8007 data_time: 0.0409 memory: 10568 loss: 0.6534 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0432 loss_cls: 0.1653 acc: 96.4844 loss_bbox: 0.2314 loss_mask: 0.1883 +2024/01/17 09:03:29 - mmengine - INFO - Epoch(train) [26][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:32:46 time: 0.7950 data_time: 0.0359 memory: 10789 loss: 0.6625 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0334 loss_cls: 0.1715 acc: 90.8203 loss_bbox: 0.2306 loss_mask: 0.2022 +2024/01/17 09:04:09 - mmengine - INFO - Epoch(train) [26][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:32:06 time: 0.7955 data_time: 0.0284 memory: 10572 loss: 0.5174 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0196 loss_cls: 0.1298 acc: 94.7266 loss_bbox: 0.1759 loss_mask: 0.1746 +2024/01/17 09:04:49 - mmengine - INFO - Epoch(train) [26][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:31:27 time: 0.8000 data_time: 0.0361 memory: 10715 loss: 0.6113 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0307 loss_cls: 0.1545 acc: 94.5312 loss_bbox: 0.2125 loss_mask: 0.1897 +2024/01/17 09:05:29 - mmengine - INFO - Epoch(train) [26][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:30:48 time: 0.8121 data_time: 0.0341 memory: 10572 loss: 0.6361 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0341 loss_cls: 0.1566 acc: 96.6797 loss_bbox: 0.2192 loss_mask: 0.2105 +2024/01/17 09:06:10 - mmengine - INFO - Epoch(train) [26][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:30:08 time: 0.8093 data_time: 0.0323 memory: 9601 loss: 0.6252 loss_rpn_cls: 0.0267 loss_rpn_bbox: 0.0324 loss_cls: 0.1642 acc: 90.2344 loss_bbox: 0.2143 loss_mask: 0.1876 +2024/01/17 09:06:50 - mmengine - INFO - Epoch(train) [26][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:29:29 time: 0.7972 data_time: 0.0357 memory: 10568 loss: 0.7093 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0425 loss_cls: 0.1828 acc: 99.0234 loss_bbox: 0.2545 loss_mask: 0.2061 +2024/01/17 09:07:30 - mmengine - INFO - Epoch(train) [26][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:28:49 time: 0.7963 data_time: 0.0435 memory: 10572 loss: 0.8298 loss_rpn_cls: 0.0334 loss_rpn_bbox: 0.0548 loss_cls: 0.2229 acc: 90.4297 loss_bbox: 0.2857 loss_mask: 0.2330 +2024/01/17 09:08:10 - mmengine - INFO - Epoch(train) [26][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:28:10 time: 0.8055 data_time: 0.0308 memory: 9650 loss: 0.5428 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0270 loss_cls: 0.1400 acc: 97.8516 loss_bbox: 0.1815 loss_mask: 0.1792 +2024/01/17 09:08:49 - mmengine - INFO - Epoch(train) [26][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:27:30 time: 0.7839 data_time: 0.0356 memory: 10217 loss: 0.6757 loss_rpn_cls: 0.0379 loss_rpn_bbox: 0.0433 loss_cls: 0.1758 acc: 99.6094 loss_bbox: 0.2258 loss_mask: 0.1930 +2024/01/17 09:09:29 - mmengine - INFO - Epoch(train) [26][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:26:50 time: 0.7902 data_time: 0.0297 memory: 10565 loss: 0.5640 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0272 loss_cls: 0.1365 acc: 95.1172 loss_bbox: 0.1852 loss_mask: 0.1975 +2024/01/17 09:10:08 - mmengine - INFO - Epoch(train) [26][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:26:10 time: 0.7867 data_time: 0.0308 memory: 10572 loss: 0.6273 loss_rpn_cls: 0.0292 loss_rpn_bbox: 0.0338 loss_cls: 0.1604 acc: 98.2422 loss_bbox: 0.2148 loss_mask: 0.1892 +2024/01/17 09:10:48 - mmengine - INFO - Epoch(train) [26][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:25:31 time: 0.8060 data_time: 0.0354 memory: 9253 loss: 0.6476 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0317 loss_cls: 0.1793 acc: 100.0000 loss_bbox: 0.2091 loss_mask: 0.2057 +2024/01/17 09:11:28 - mmengine - INFO - Epoch(train) [26][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:24:51 time: 0.7843 data_time: 0.0318 memory: 10067 loss: 0.5804 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0325 loss_cls: 0.1423 acc: 92.1875 loss_bbox: 0.1906 loss_mask: 0.1999 +2024/01/17 09:12:08 - mmengine - INFO - Epoch(train) [26][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:24:11 time: 0.8003 data_time: 0.0300 memory: 10572 loss: 0.5748 loss_rpn_cls: 0.0300 loss_rpn_bbox: 0.0345 loss_cls: 0.1516 acc: 92.7734 loss_bbox: 0.1800 loss_mask: 0.1789 +2024/01/17 09:12:48 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 09:12:48 - mmengine - INFO - Epoch(train) [26][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:23:32 time: 0.8015 data_time: 0.0363 memory: 9474 loss: 0.5952 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0272 loss_cls: 0.1577 acc: 88.2812 loss_bbox: 0.1979 loss_mask: 0.1930 +2024/01/17 09:13:28 - mmengine - INFO - Epoch(train) [26][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:22:52 time: 0.7936 data_time: 0.0293 memory: 10067 loss: 0.5204 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0248 loss_cls: 0.1292 acc: 99.2188 loss_bbox: 0.1675 loss_mask: 0.1767 +2024/01/17 09:14:07 - mmengine - INFO - Epoch(train) [26][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:22:12 time: 0.7858 data_time: 0.0287 memory: 10572 loss: 0.5161 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0235 loss_cls: 0.1326 acc: 95.5078 loss_bbox: 0.1555 loss_mask: 0.1879 +2024/01/17 09:14:47 - mmengine - INFO - Epoch(train) [26][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:21:32 time: 0.7946 data_time: 0.0339 memory: 10067 loss: 0.5665 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0284 loss_cls: 0.1450 acc: 97.0703 loss_bbox: 0.1850 loss_mask: 0.1928 +2024/01/17 09:15:27 - mmengine - INFO - Epoch(train) [26][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:20:53 time: 0.8020 data_time: 0.0347 memory: 10607 loss: 0.5399 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0257 loss_cls: 0.1388 acc: 95.1172 loss_bbox: 0.1840 loss_mask: 0.1796 +2024/01/17 09:16:07 - mmengine - INFO - Epoch(train) [26][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:20:13 time: 0.7959 data_time: 0.0318 memory: 10583 loss: 0.5455 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0254 loss_cls: 0.1448 acc: 100.0000 loss_bbox: 0.1707 loss_mask: 0.1883 +2024/01/17 09:16:46 - mmengine - INFO - Epoch(train) [26][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:19:34 time: 0.7903 data_time: 0.0354 memory: 9599 loss: 0.6520 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0288 loss_cls: 0.1797 acc: 84.7656 loss_bbox: 0.2154 loss_mask: 0.2055 +2024/01/17 09:17:25 - mmengine - INFO - Epoch(train) [26][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:18:54 time: 0.7865 data_time: 0.0366 memory: 10456 loss: 0.5223 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0341 loss_cls: 0.1286 acc: 99.4141 loss_bbox: 0.1777 loss_mask: 0.1700 +2024/01/17 09:18:05 - mmengine - INFO - Epoch(train) [26][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:18:14 time: 0.7863 data_time: 0.0329 memory: 10067 loss: 0.6008 loss_rpn_cls: 0.0261 loss_rpn_bbox: 0.0322 loss_cls: 0.1546 acc: 94.9219 loss_bbox: 0.1959 loss_mask: 0.1921 +2024/01/17 09:18:45 - mmengine - INFO - Epoch(train) [26][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:17:35 time: 0.8106 data_time: 0.0367 memory: 9629 loss: 0.5659 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0323 loss_cls: 0.1398 acc: 98.6328 loss_bbox: 0.1869 loss_mask: 0.1879 +2024/01/17 09:19:25 - mmengine - INFO - Epoch(train) [26][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:16:55 time: 0.7939 data_time: 0.0282 memory: 9622 loss: 0.4599 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0187 loss_cls: 0.1131 acc: 95.7031 loss_bbox: 0.1438 loss_mask: 0.1710 +2024/01/17 09:20:05 - mmengine - INFO - Epoch(train) [26][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:16:15 time: 0.8058 data_time: 0.0321 memory: 10067 loss: 0.5629 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0257 loss_cls: 0.1458 acc: 98.4375 loss_bbox: 0.1903 loss_mask: 0.1844 +2024/01/17 09:20:46 - mmengine - INFO - Epoch(train) [26][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:15:36 time: 0.8177 data_time: 0.0340 memory: 10516 loss: 0.5671 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0349 loss_cls: 0.1476 acc: 97.4609 loss_bbox: 0.1786 loss_mask: 0.1887 +2024/01/17 09:21:27 - mmengine - INFO - Epoch(train) [26][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:14:57 time: 0.8080 data_time: 0.0272 memory: 10211 loss: 0.5018 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0229 loss_cls: 0.1226 acc: 95.1172 loss_bbox: 0.1559 loss_mask: 0.1785 +2024/01/17 09:22:07 - mmengine - INFO - Epoch(train) [26][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:14:17 time: 0.7976 data_time: 0.0367 memory: 10388 loss: 0.6315 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0360 loss_cls: 0.1788 acc: 98.8281 loss_bbox: 0.2153 loss_mask: 0.1802 +2024/01/17 09:22:47 - mmengine - INFO - Epoch(train) [26][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:13:38 time: 0.7997 data_time: 0.0304 memory: 10986 loss: 0.5513 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0235 loss_cls: 0.1459 acc: 97.6562 loss_bbox: 0.1762 loss_mask: 0.1854 +2024/01/17 09:23:26 - mmengine - INFO - Epoch(train) [26][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:12:58 time: 0.7890 data_time: 0.0297 memory: 10211 loss: 0.6049 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0276 loss_cls: 0.1490 acc: 95.5078 loss_bbox: 0.2057 loss_mask: 0.2051 +2024/01/17 09:24:07 - mmengine - INFO - Epoch(train) [26][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:12:19 time: 0.8079 data_time: 0.0313 memory: 10572 loss: 0.5373 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0256 loss_cls: 0.1335 acc: 92.9688 loss_bbox: 0.1787 loss_mask: 0.1771 +2024/01/17 09:24:47 - mmengine - INFO - Epoch(train) [26][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:11:39 time: 0.7983 data_time: 0.0280 memory: 11200 loss: 0.5659 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0246 loss_cls: 0.1509 acc: 92.1875 loss_bbox: 0.1837 loss_mask: 0.1887 +2024/01/17 09:25:26 - mmengine - INFO - Epoch(train) [26][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:10:59 time: 0.7929 data_time: 0.0282 memory: 10155 loss: 0.5238 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0188 loss_cls: 0.1306 acc: 97.2656 loss_bbox: 0.1568 loss_mask: 0.2033 +2024/01/17 09:26:06 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 09:26:06 - mmengine - INFO - Epoch(train) [26][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:10:20 time: 0.8049 data_time: 0.0382 memory: 10572 loss: 0.6044 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0381 loss_cls: 0.1519 acc: 91.7969 loss_bbox: 0.2142 loss_mask: 0.1799 +2024/01/17 09:26:46 - mmengine - INFO - Epoch(train) [26][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:09:40 time: 0.7920 data_time: 0.0283 memory: 10572 loss: 0.5053 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0223 loss_cls: 0.1269 acc: 99.4141 loss_bbox: 0.1632 loss_mask: 0.1823 +2024/01/17 09:27:26 - mmengine - INFO - Epoch(train) [26][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:09:00 time: 0.7882 data_time: 0.0234 memory: 9688 loss: 0.3815 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0119 loss_cls: 0.0863 acc: 99.4141 loss_bbox: 0.1177 loss_mask: 0.1533 +2024/01/17 09:28:06 - mmengine - INFO - Epoch(train) [26][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:08:21 time: 0.8179 data_time: 0.0281 memory: 10399 loss: 0.5455 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0265 loss_cls: 0.1268 acc: 99.6094 loss_bbox: 0.1866 loss_mask: 0.1903 +2024/01/17 09:28:47 - mmengine - INFO - Epoch(train) [26][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:07:42 time: 0.8050 data_time: 0.0303 memory: 10568 loss: 0.6221 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0397 loss_cls: 0.1757 acc: 90.6250 loss_bbox: 0.1976 loss_mask: 0.1874 +2024/01/17 09:29:25 - mmengine - INFO - Epoch(train) [26][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:07:01 time: 0.7726 data_time: 0.0303 memory: 9120 loss: 0.5633 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0314 loss_cls: 0.1245 acc: 98.4375 loss_bbox: 0.1833 loss_mask: 0.2032 +2024/01/17 09:30:05 - mmengine - INFO - Epoch(train) [26][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:06:22 time: 0.7982 data_time: 0.0329 memory: 10516 loss: 0.5773 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0296 loss_cls: 0.1560 acc: 93.7500 loss_bbox: 0.1848 loss_mask: 0.1847 +2024/01/17 09:30:45 - mmengine - INFO - Epoch(train) [26][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:05:42 time: 0.7887 data_time: 0.0318 memory: 10572 loss: 0.5774 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0295 loss_cls: 0.1579 acc: 94.3359 loss_bbox: 0.1996 loss_mask: 0.1731 +2024/01/17 09:31:25 - mmengine - INFO - Epoch(train) [26][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:05:03 time: 0.8045 data_time: 0.0338 memory: 10635 loss: 0.5662 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0298 loss_cls: 0.1441 acc: 89.2578 loss_bbox: 0.1828 loss_mask: 0.1950 +2024/01/17 09:32:04 - mmengine - INFO - Epoch(train) [26][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:04:23 time: 0.7842 data_time: 0.0336 memory: 10299 loss: 0.5601 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0283 loss_cls: 0.1475 acc: 97.6562 loss_bbox: 0.1858 loss_mask: 0.1812 +2024/01/17 09:32:44 - mmengine - INFO - Epoch(train) [26][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:03:43 time: 0.7922 data_time: 0.0291 memory: 9905 loss: 0.4819 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0247 loss_cls: 0.1192 acc: 98.2422 loss_bbox: 0.1561 loss_mask: 0.1686 +2024/01/17 09:33:24 - mmengine - INFO - Epoch(train) [26][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:03:03 time: 0.8014 data_time: 0.0345 memory: 11099 loss: 0.6090 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0307 loss_cls: 0.1690 acc: 93.5547 loss_bbox: 0.2056 loss_mask: 0.1860 +2024/01/17 09:34:04 - mmengine - INFO - Epoch(train) [26][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:02:24 time: 0.8036 data_time: 0.0281 memory: 10067 loss: 0.6281 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0273 loss_cls: 0.1621 acc: 89.0625 loss_bbox: 0.2102 loss_mask: 0.2113 +2024/01/17 09:34:44 - mmengine - INFO - Epoch(train) [26][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:01:44 time: 0.7892 data_time: 0.0292 memory: 10067 loss: 0.5630 loss_rpn_cls: 0.0282 loss_rpn_bbox: 0.0258 loss_cls: 0.1428 acc: 89.6484 loss_bbox: 0.1871 loss_mask: 0.1791 +2024/01/17 09:35:24 - mmengine - INFO - Epoch(train) [26][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:01:04 time: 0.7945 data_time: 0.0326 memory: 10069 loss: 0.5489 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0264 loss_cls: 0.1302 acc: 92.9688 loss_bbox: 0.1808 loss_mask: 0.1930 +2024/01/17 09:36:04 - mmengine - INFO - Epoch(train) [26][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 17:00:25 time: 0.7999 data_time: 0.0334 memory: 9601 loss: 0.5576 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0283 loss_cls: 0.1466 acc: 99.4141 loss_bbox: 0.1783 loss_mask: 0.1862 +2024/01/17 09:36:43 - mmengine - INFO - Epoch(train) [26][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:59:45 time: 0.7956 data_time: 0.0328 memory: 9601 loss: 0.6302 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0290 loss_cls: 0.1577 acc: 87.5000 loss_bbox: 0.1985 loss_mask: 0.2192 +2024/01/17 09:37:23 - mmengine - INFO - Epoch(train) [26][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:59:06 time: 0.7912 data_time: 0.0353 memory: 10137 loss: 0.6292 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0310 loss_cls: 0.1531 acc: 88.4766 loss_bbox: 0.2193 loss_mask: 0.2026 +2024/01/17 09:38:03 - mmengine - INFO - Epoch(train) [26][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:58:26 time: 0.7979 data_time: 0.0314 memory: 10390 loss: 0.5501 loss_rpn_cls: 0.0307 loss_rpn_bbox: 0.0367 loss_cls: 0.1289 acc: 95.7031 loss_bbox: 0.1713 loss_mask: 0.1825 +2024/01/17 09:38:43 - mmengine - INFO - Epoch(train) [26][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:57:46 time: 0.7944 data_time: 0.0349 memory: 11009 loss: 0.5487 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0244 loss_cls: 0.1477 acc: 80.6641 loss_bbox: 0.1822 loss_mask: 0.1783 +2024/01/17 09:39:23 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 09:39:23 - mmengine - INFO - Epoch(train) [26][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:57:07 time: 0.8096 data_time: 0.0369 memory: 10174 loss: 0.6592 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0358 loss_cls: 0.1787 acc: 95.1172 loss_bbox: 0.2234 loss_mask: 0.1992 +2024/01/17 09:40:03 - mmengine - INFO - Epoch(train) [26][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:56:27 time: 0.8053 data_time: 0.0362 memory: 11099 loss: 0.6181 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0377 loss_cls: 0.1657 acc: 100.0000 loss_bbox: 0.2088 loss_mask: 0.1864 +2024/01/17 09:40:44 - mmengine - INFO - Epoch(train) [26][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:55:48 time: 0.8127 data_time: 0.0321 memory: 9734 loss: 0.5936 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0271 loss_cls: 0.1546 acc: 99.0234 loss_bbox: 0.1961 loss_mask: 0.2016 +2024/01/17 09:41:23 - mmengine - INFO - Epoch(train) [26][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:55:08 time: 0.7761 data_time: 0.0249 memory: 10100 loss: 0.4928 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0178 loss_cls: 0.1158 acc: 99.2188 loss_bbox: 0.1598 loss_mask: 0.1900 +2024/01/17 09:42:02 - mmengine - INFO - Epoch(train) [26][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:54:28 time: 0.7898 data_time: 0.0332 memory: 10572 loss: 0.6166 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0309 loss_cls: 0.1455 acc: 99.8047 loss_bbox: 0.2112 loss_mask: 0.2163 +2024/01/17 09:42:42 - mmengine - INFO - Epoch(train) [26][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:53:49 time: 0.7986 data_time: 0.0320 memory: 9949 loss: 0.5610 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0298 loss_cls: 0.1367 acc: 84.3750 loss_bbox: 0.1823 loss_mask: 0.1918 +2024/01/17 09:43:22 - mmengine - INFO - Epoch(train) [26][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:53:09 time: 0.7880 data_time: 0.0314 memory: 9800 loss: 0.5438 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0293 loss_cls: 0.1224 acc: 98.4375 loss_bbox: 0.1925 loss_mask: 0.1801 +2024/01/17 09:44:02 - mmengine - INFO - Epoch(train) [26][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:52:29 time: 0.8001 data_time: 0.0372 memory: 10299 loss: 0.7213 loss_rpn_cls: 0.0324 loss_rpn_bbox: 0.0395 loss_cls: 0.1964 acc: 98.8281 loss_bbox: 0.2289 loss_mask: 0.2241 +2024/01/17 09:44:42 - mmengine - INFO - Epoch(train) [26][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:51:50 time: 0.8002 data_time: 0.0286 memory: 10067 loss: 0.5984 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0270 loss_cls: 0.1558 acc: 92.1875 loss_bbox: 0.1938 loss_mask: 0.2031 +2024/01/17 09:45:22 - mmengine - INFO - Epoch(train) [26][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:51:10 time: 0.8012 data_time: 0.0303 memory: 10572 loss: 0.5376 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0296 loss_cls: 0.1332 acc: 98.2422 loss_bbox: 0.1797 loss_mask: 0.1793 +2024/01/17 09:46:02 - mmengine - INFO - Epoch(train) [26][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:50:31 time: 0.7947 data_time: 0.0281 memory: 10789 loss: 0.5073 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0253 loss_cls: 0.1266 acc: 96.8750 loss_bbox: 0.1606 loss_mask: 0.1795 +2024/01/17 09:46:41 - mmengine - INFO - Epoch(train) [26][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:49:51 time: 0.7842 data_time: 0.0312 memory: 10824 loss: 0.5235 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0197 loss_cls: 0.1358 acc: 98.8281 loss_bbox: 0.1659 loss_mask: 0.1865 +2024/01/17 09:47:20 - mmengine - INFO - Epoch(train) [26][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:49:11 time: 0.7875 data_time: 0.0307 memory: 10067 loss: 0.6446 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0273 loss_cls: 0.1643 acc: 99.0234 loss_bbox: 0.2158 loss_mask: 0.2152 +2024/01/17 09:48:00 - mmengine - INFO - Epoch(train) [26][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:48:31 time: 0.7950 data_time: 0.0278 memory: 10067 loss: 0.5103 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0203 loss_cls: 0.1324 acc: 93.3594 loss_bbox: 0.1659 loss_mask: 0.1803 +2024/01/17 09:48:39 - mmengine - INFO - Epoch(train) [26][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:47:51 time: 0.7854 data_time: 0.0269 memory: 9570 loss: 0.5878 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0318 loss_cls: 0.1463 acc: 92.1875 loss_bbox: 0.1925 loss_mask: 0.1988 +2024/01/17 09:49:19 - mmengine - INFO - Epoch(train) [26][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:47:11 time: 0.7832 data_time: 0.0275 memory: 10101 loss: 0.5390 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0254 loss_cls: 0.1339 acc: 99.4141 loss_bbox: 0.1704 loss_mask: 0.1899 +2024/01/17 09:49:58 - mmengine - INFO - Epoch(train) [26][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:46:31 time: 0.7815 data_time: 0.0280 memory: 10067 loss: 0.5446 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0254 loss_cls: 0.1298 acc: 98.0469 loss_bbox: 0.1785 loss_mask: 0.1949 +2024/01/17 09:50:38 - mmengine - INFO - Epoch(train) [26][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:45:52 time: 0.7942 data_time: 0.0341 memory: 10528 loss: 0.6051 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0301 loss_cls: 0.1554 acc: 90.4297 loss_bbox: 0.2016 loss_mask: 0.2024 +2024/01/17 09:51:18 - mmengine - INFO - Epoch(train) [26][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:45:13 time: 0.8133 data_time: 0.0320 memory: 10404 loss: 0.6258 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0306 loss_cls: 0.1492 acc: 96.2891 loss_bbox: 0.2097 loss_mask: 0.2194 +2024/01/17 09:51:58 - mmengine - INFO - Epoch(train) [26][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:44:33 time: 0.7987 data_time: 0.0316 memory: 10067 loss: 0.5368 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0260 loss_cls: 0.1329 acc: 86.5234 loss_bbox: 0.1631 loss_mask: 0.1972 +2024/01/17 09:52:37 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 09:52:37 - mmengine - INFO - Epoch(train) [26][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:43:53 time: 0.7841 data_time: 0.0335 memory: 10572 loss: 0.5940 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0301 loss_cls: 0.1490 acc: 85.5469 loss_bbox: 0.2023 loss_mask: 0.1896 +2024/01/17 09:53:17 - mmengine - INFO - Epoch(train) [26][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:43:13 time: 0.7938 data_time: 0.0340 memory: 10053 loss: 0.6102 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0335 loss_cls: 0.1604 acc: 93.9453 loss_bbox: 0.2075 loss_mask: 0.1872 +2024/01/17 09:53:57 - mmengine - INFO - Epoch(train) [26][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:42:34 time: 0.8025 data_time: 0.0346 memory: 11099 loss: 0.5647 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0310 loss_cls: 0.1428 acc: 92.9688 loss_bbox: 0.1987 loss_mask: 0.1727 +2024/01/17 09:54:37 - mmengine - INFO - Epoch(train) [26][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:41:54 time: 0.7908 data_time: 0.0327 memory: 10583 loss: 0.6166 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0375 loss_cls: 0.1586 acc: 91.2109 loss_bbox: 0.2031 loss_mask: 0.1923 +2024/01/17 09:55:18 - mmengine - INFO - Epoch(train) [26][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:41:15 time: 0.8307 data_time: 0.0316 memory: 11017 loss: 0.5454 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0298 loss_cls: 0.1305 acc: 98.6328 loss_bbox: 0.1911 loss_mask: 0.1731 +2024/01/17 09:55:58 - mmengine - INFO - Epoch(train) [26][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:40:35 time: 0.7937 data_time: 0.0323 memory: 9437 loss: 0.5766 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0345 loss_cls: 0.1397 acc: 93.9453 loss_bbox: 0.1886 loss_mask: 0.1918 +2024/01/17 09:56:38 - mmengine - INFO - Epoch(train) [26][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:39:56 time: 0.7943 data_time: 0.0302 memory: 10572 loss: 0.6995 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0391 loss_cls: 0.1933 acc: 99.4141 loss_bbox: 0.2263 loss_mask: 0.2118 +2024/01/17 09:57:18 - mmengine - INFO - Epoch(train) [26][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:39:16 time: 0.7995 data_time: 0.0307 memory: 11099 loss: 0.5024 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0206 loss_cls: 0.1307 acc: 92.5781 loss_bbox: 0.1660 loss_mask: 0.1712 +2024/01/17 09:57:58 - mmengine - INFO - Epoch(train) [26][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:38:37 time: 0.7958 data_time: 0.0304 memory: 9177 loss: 0.6325 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0313 loss_cls: 0.1579 acc: 90.8203 loss_bbox: 0.2049 loss_mask: 0.2187 +2024/01/17 09:58:38 - mmengine - INFO - Epoch(train) [26][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:37:57 time: 0.8041 data_time: 0.0319 memory: 10094 loss: 0.6140 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0294 loss_cls: 0.1602 acc: 97.6562 loss_bbox: 0.2099 loss_mask: 0.1971 +2024/01/17 09:59:18 - mmengine - INFO - Epoch(train) [26][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:37:17 time: 0.7979 data_time: 0.0314 memory: 9884 loss: 0.5798 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0301 loss_cls: 0.1378 acc: 99.6094 loss_bbox: 0.1857 loss_mask: 0.2042 +2024/01/17 09:59:58 - mmengine - INFO - Epoch(train) [26][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:36:38 time: 0.8073 data_time: 0.0327 memory: 10583 loss: 0.5692 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0286 loss_cls: 0.1374 acc: 98.6328 loss_bbox: 0.1915 loss_mask: 0.1852 +2024/01/17 10:00:38 - mmengine - INFO - Epoch(train) [26][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:35:58 time: 0.7995 data_time: 0.0350 memory: 10215 loss: 0.5188 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0259 loss_cls: 0.1329 acc: 98.6328 loss_bbox: 0.1772 loss_mask: 0.1677 +2024/01/17 10:01:18 - mmengine - INFO - Epoch(train) [26][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:35:19 time: 0.7948 data_time: 0.0333 memory: 11517 loss: 0.6233 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0316 loss_cls: 0.1553 acc: 95.1172 loss_bbox: 0.2024 loss_mask: 0.2089 +2024/01/17 10:01:57 - mmengine - INFO - Epoch(train) [26][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:34:39 time: 0.7879 data_time: 0.0318 memory: 10986 loss: 0.5742 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0297 loss_cls: 0.1568 acc: 94.1406 loss_bbox: 0.1901 loss_mask: 0.1810 +2024/01/17 10:02:37 - mmengine - INFO - Epoch(train) [26][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:33:59 time: 0.7965 data_time: 0.0374 memory: 10572 loss: 0.5941 loss_rpn_cls: 0.0249 loss_rpn_bbox: 0.0343 loss_cls: 0.1518 acc: 94.1406 loss_bbox: 0.1931 loss_mask: 0.1900 +2024/01/17 10:03:17 - mmengine - INFO - Epoch(train) [26][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:33:20 time: 0.7955 data_time: 0.0354 memory: 10239 loss: 0.5527 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0301 loss_cls: 0.1249 acc: 99.4141 loss_bbox: 0.1814 loss_mask: 0.1899 +2024/01/17 10:03:57 - mmengine - INFO - Epoch(train) [26][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:32:40 time: 0.8049 data_time: 0.0303 memory: 10354 loss: 0.5791 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0311 loss_cls: 0.1468 acc: 99.8047 loss_bbox: 0.1814 loss_mask: 0.1965 +2024/01/17 10:04:38 - mmengine - INFO - Epoch(train) [26][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:32:01 time: 0.8041 data_time: 0.0335 memory: 11102 loss: 0.6532 loss_rpn_cls: 0.0358 loss_rpn_bbox: 0.0334 loss_cls: 0.1654 acc: 99.4141 loss_bbox: 0.2163 loss_mask: 0.2022 +2024/01/17 10:05:18 - mmengine - INFO - Epoch(train) [26][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:31:21 time: 0.8040 data_time: 0.0341 memory: 10290 loss: 0.6325 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0358 loss_cls: 0.1664 acc: 99.6094 loss_bbox: 0.2111 loss_mask: 0.1999 +2024/01/17 10:05:58 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 10:05:58 - mmengine - INFO - Epoch(train) [26][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:30:42 time: 0.8020 data_time: 0.0364 memory: 10572 loss: 0.6582 loss_rpn_cls: 0.0291 loss_rpn_bbox: 0.0340 loss_cls: 0.1752 acc: 98.8281 loss_bbox: 0.2173 loss_mask: 0.2026 +2024/01/17 10:06:38 - mmengine - INFO - Epoch(train) [26][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:30:02 time: 0.7926 data_time: 0.0352 memory: 10572 loss: 0.5576 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0243 loss_cls: 0.1568 acc: 100.0000 loss_bbox: 0.1823 loss_mask: 0.1773 +2024/01/17 10:07:18 - mmengine - INFO - Epoch(train) [26][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:29:22 time: 0.7964 data_time: 0.0281 memory: 10572 loss: 0.5354 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0220 loss_cls: 0.1307 acc: 94.5312 loss_bbox: 0.1861 loss_mask: 0.1760 +2024/01/17 10:07:58 - mmengine - INFO - Epoch(train) [26][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:28:43 time: 0.8148 data_time: 0.0347 memory: 11438 loss: 0.5048 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0201 loss_cls: 0.1401 acc: 98.4375 loss_bbox: 0.1610 loss_mask: 0.1686 +2024/01/17 10:08:38 - mmengine - INFO - Epoch(train) [26][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:28:03 time: 0.7974 data_time: 0.0376 memory: 10572 loss: 0.6134 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0336 loss_cls: 0.1607 acc: 99.2188 loss_bbox: 0.2008 loss_mask: 0.2001 +2024/01/17 10:09:18 - mmengine - INFO - Epoch(train) [26][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:27:24 time: 0.7870 data_time: 0.0383 memory: 10404 loss: 0.6050 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0352 loss_cls: 0.1537 acc: 97.8516 loss_bbox: 0.2019 loss_mask: 0.1949 +2024/01/17 10:09:57 - mmengine - INFO - Epoch(train) [26][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:26:44 time: 0.7939 data_time: 0.0332 memory: 9601 loss: 0.5754 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0292 loss_cls: 0.1582 acc: 89.6484 loss_bbox: 0.1841 loss_mask: 0.1840 +2024/01/17 10:10:38 - mmengine - INFO - Epoch(train) [26][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:26:04 time: 0.8069 data_time: 0.0275 memory: 10986 loss: 0.5595 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0257 loss_cls: 0.1565 acc: 99.0234 loss_bbox: 0.1857 loss_mask: 0.1742 +2024/01/17 10:11:17 - mmengine - INFO - Epoch(train) [26][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:25:25 time: 0.7893 data_time: 0.0295 memory: 9420 loss: 0.5986 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0273 loss_cls: 0.1547 acc: 85.9375 loss_bbox: 0.2001 loss_mask: 0.1945 +2024/01/17 10:11:57 - mmengine - INFO - Epoch(train) [26][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:24:45 time: 0.7997 data_time: 0.0270 memory: 9599 loss: 0.4793 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0204 loss_cls: 0.1164 acc: 98.2422 loss_bbox: 0.1571 loss_mask: 0.1759 +2024/01/17 10:12:37 - mmengine - INFO - Epoch(train) [26][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:24:06 time: 0.8038 data_time: 0.0346 memory: 11102 loss: 0.6778 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0396 loss_cls: 0.1846 acc: 97.8516 loss_bbox: 0.2311 loss_mask: 0.2016 +2024/01/17 10:13:17 - mmengine - INFO - Epoch(train) [26][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:23:26 time: 0.7940 data_time: 0.0318 memory: 10438 loss: 0.4268 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0232 loss_cls: 0.1064 acc: 99.0234 loss_bbox: 0.1393 loss_mask: 0.1474 +2024/01/17 10:13:58 - mmengine - INFO - Epoch(train) [26][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:22:46 time: 0.8070 data_time: 0.0294 memory: 10265 loss: 0.5631 loss_rpn_cls: 0.0259 loss_rpn_bbox: 0.0252 loss_cls: 0.1379 acc: 86.9141 loss_bbox: 0.1799 loss_mask: 0.1942 +2024/01/17 10:14:37 - mmengine - INFO - Epoch(train) [26][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:22:07 time: 0.7970 data_time: 0.0331 memory: 10440 loss: 0.6149 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0301 loss_cls: 0.1689 acc: 98.8281 loss_bbox: 0.2024 loss_mask: 0.1946 +2024/01/17 10:15:18 - mmengine - INFO - Epoch(train) [26][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:21:27 time: 0.8021 data_time: 0.0277 memory: 10582 loss: 0.5304 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0275 loss_cls: 0.1202 acc: 99.8047 loss_bbox: 0.1823 loss_mask: 0.1846 +2024/01/17 10:15:57 - mmengine - INFO - Epoch(train) [26][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:20:47 time: 0.7862 data_time: 0.0324 memory: 10568 loss: 0.6058 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0294 loss_cls: 0.1500 acc: 87.8906 loss_bbox: 0.1964 loss_mask: 0.2124 +2024/01/17 10:16:37 - mmengine - INFO - Epoch(train) [26][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:20:08 time: 0.8012 data_time: 0.0323 memory: 10486 loss: 0.5827 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0271 loss_cls: 0.1552 acc: 94.3359 loss_bbox: 0.1878 loss_mask: 0.1948 +2024/01/17 10:17:16 - mmengine - INFO - Epoch(train) [26][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:19:28 time: 0.7786 data_time: 0.0275 memory: 10067 loss: 0.5541 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0289 loss_cls: 0.1264 acc: 97.6562 loss_bbox: 0.1872 loss_mask: 0.1955 +2024/01/17 10:17:56 - mmengine - INFO - Epoch(train) [26][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:18:48 time: 0.7944 data_time: 0.0364 memory: 10472 loss: 0.6503 loss_rpn_cls: 0.0274 loss_rpn_bbox: 0.0410 loss_cls: 0.1669 acc: 96.6797 loss_bbox: 0.2071 loss_mask: 0.2081 +2024/01/17 10:18:34 - mmengine - INFO - Epoch(train) [26][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:18:08 time: 0.7753 data_time: 0.0358 memory: 9423 loss: 0.6798 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0293 loss_cls: 0.1789 acc: 99.4141 loss_bbox: 0.2253 loss_mask: 0.2266 +2024/01/17 10:19:15 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 10:19:15 - mmengine - INFO - Epoch(train) [26][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:17:29 time: 0.8037 data_time: 0.0331 memory: 11517 loss: 0.6197 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0345 loss_cls: 0.1611 acc: 98.2422 loss_bbox: 0.2109 loss_mask: 0.1930 +2024/01/17 10:19:54 - mmengine - INFO - Epoch(train) [26][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:16:49 time: 0.7845 data_time: 0.0336 memory: 10013 loss: 0.6835 loss_rpn_cls: 0.0319 loss_rpn_bbox: 0.0411 loss_cls: 0.1808 acc: 99.0234 loss_bbox: 0.2182 loss_mask: 0.2116 +2024/01/17 10:20:34 - mmengine - INFO - Epoch(train) [26][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:16:09 time: 0.7956 data_time: 0.0311 memory: 10401 loss: 0.6093 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0343 loss_cls: 0.1513 acc: 86.7188 loss_bbox: 0.2072 loss_mask: 0.1936 +2024/01/17 10:21:14 - mmengine - INFO - Epoch(train) [26][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:15:30 time: 0.8085 data_time: 0.0342 memory: 10067 loss: 0.7082 loss_rpn_cls: 0.0355 loss_rpn_bbox: 0.0359 loss_cls: 0.1813 acc: 93.1641 loss_bbox: 0.2271 loss_mask: 0.2283 +2024/01/17 10:21:54 - mmengine - INFO - Epoch(train) [26][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:14:50 time: 0.7897 data_time: 0.0382 memory: 10830 loss: 0.6097 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0356 loss_cls: 0.1531 acc: 91.7969 loss_bbox: 0.2053 loss_mask: 0.1951 +2024/01/17 10:22:33 - mmengine - INFO - Epoch(train) [26][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:14:10 time: 0.7899 data_time: 0.0312 memory: 9949 loss: 0.6311 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0305 loss_cls: 0.1591 acc: 93.3594 loss_bbox: 0.2041 loss_mask: 0.2217 +2024/01/17 10:23:13 - mmengine - INFO - Epoch(train) [26][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:13:30 time: 0.7901 data_time: 0.0370 memory: 9554 loss: 0.6346 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0260 loss_cls: 0.1622 acc: 88.6719 loss_bbox: 0.2196 loss_mask: 0.2094 +2024/01/17 10:23:54 - mmengine - INFO - Epoch(train) [26][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:12:51 time: 0.8143 data_time: 0.0338 memory: 11101 loss: 0.6650 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0328 loss_cls: 0.1788 acc: 94.9219 loss_bbox: 0.2263 loss_mask: 0.2034 +2024/01/17 10:24:34 - mmengine - INFO - Epoch(train) [26][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:12:12 time: 0.7994 data_time: 0.0349 memory: 10516 loss: 0.7218 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0359 loss_cls: 0.1877 acc: 84.7656 loss_bbox: 0.2487 loss_mask: 0.2251 +2024/01/17 10:25:13 - mmengine - INFO - Epoch(train) [26][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:11:32 time: 0.7889 data_time: 0.0314 memory: 10278 loss: 0.5226 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0252 loss_cls: 0.1226 acc: 96.2891 loss_bbox: 0.1749 loss_mask: 0.1849 +2024/01/17 10:25:52 - mmengine - INFO - Epoch(train) [26][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:10:52 time: 0.7713 data_time: 0.0308 memory: 8944 loss: 0.5578 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0263 loss_cls: 0.1413 acc: 77.7344 loss_bbox: 0.1973 loss_mask: 0.1802 +2024/01/17 10:26:31 - mmengine - INFO - Epoch(train) [26][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:10:12 time: 0.7918 data_time: 0.0271 memory: 9706 loss: 0.4796 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0197 loss_cls: 0.1162 acc: 88.6719 loss_bbox: 0.1634 loss_mask: 0.1707 +2024/01/17 10:26:55 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 10:26:55 - mmengine - INFO - Saving checkpoint at 26 epochs +2024/01/17 10:27:10 - mmengine - INFO - Epoch(val) [26][ 50/313] eta: 0:00:59 time: 0.2244 data_time: 0.0633 memory: 10446 +2024/01/17 10:27:20 - mmengine - INFO - Epoch(val) [26][100/313] eta: 0:00:44 time: 0.1958 data_time: 0.0345 memory: 2388 +2024/01/17 10:27:31 - mmengine - INFO - Epoch(val) [26][150/313] eta: 0:00:34 time: 0.2089 data_time: 0.0438 memory: 2431 +2024/01/17 10:27:41 - mmengine - INFO - Epoch(val) [26][200/313] eta: 0:00:23 time: 0.2064 data_time: 0.0434 memory: 2403 +2024/01/17 10:27:50 - mmengine - INFO - Epoch(val) [26][250/313] eta: 0:00:12 time: 0.1866 data_time: 0.0307 memory: 2431 +2024/01/17 10:28:00 - mmengine - INFO - Epoch(val) [26][300/313] eta: 0:00:02 time: 0.1983 data_time: 0.0382 memory: 2403 +2024/01/17 10:28:09 - mmengine - INFO - Evaluating bbox... +2024/01/17 10:28:34 - mmengine - INFO - bbox_mAP_copypaste: 0.470 0.683 0.514 0.309 0.511 0.622 +2024/01/17 10:28:34 - mmengine - INFO - Evaluating segm... +2024/01/17 10:29:01 - mmengine - INFO - segm_mAP_copypaste: 0.417 0.651 0.449 0.234 0.450 0.604 +2024/01/17 10:29:02 - mmengine - INFO - Epoch(val) [26][313/313] coco/bbox_mAP: 0.4700 coco/bbox_mAP_50: 0.6830 coco/bbox_mAP_75: 0.5140 coco/bbox_mAP_s: 0.3090 coco/bbox_mAP_m: 0.5110 coco/bbox_mAP_l: 0.6220 coco/segm_mAP: 0.4170 coco/segm_mAP_50: 0.6510 coco/segm_mAP_75: 0.4490 coco/segm_mAP_s: 0.2340 coco/segm_mAP_m: 0.4500 coco/segm_mAP_l: 0.6040 data_time: 0.0406 time: 0.2015 +2024/01/17 10:29:43 - mmengine - INFO - Epoch(train) [27][ 50/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:09:09 time: 0.8186 data_time: 0.0415 memory: 10572 loss: 0.5892 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0311 loss_cls: 0.1375 acc: 87.6953 loss_bbox: 0.1958 loss_mask: 0.2062 +2024/01/17 10:30:23 - mmengine - INFO - Epoch(train) [27][ 100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:08:30 time: 0.8110 data_time: 0.0334 memory: 10583 loss: 0.5413 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0230 loss_cls: 0.1399 acc: 99.0234 loss_bbox: 0.1868 loss_mask: 0.1798 +2024/01/17 10:31:03 - mmengine - INFO - Epoch(train) [27][ 150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:07:50 time: 0.7952 data_time: 0.0307 memory: 9135 loss: 0.6467 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0363 loss_cls: 0.1571 acc: 98.6328 loss_bbox: 0.2103 loss_mask: 0.2242 +2024/01/17 10:31:42 - mmengine - INFO - Epoch(train) [27][ 200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:07:10 time: 0.7851 data_time: 0.0275 memory: 9646 loss: 0.3867 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0151 loss_cls: 0.0913 acc: 98.4375 loss_bbox: 0.1265 loss_mask: 0.1450 +2024/01/17 10:32:22 - mmengine - INFO - Epoch(train) [27][ 250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:06:30 time: 0.7914 data_time: 0.0343 memory: 10063 loss: 0.6373 loss_rpn_cls: 0.0237 loss_rpn_bbox: 0.0345 loss_cls: 0.1674 acc: 88.6719 loss_bbox: 0.2147 loss_mask: 0.1969 +2024/01/17 10:33:03 - mmengine - INFO - Epoch(train) [27][ 300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:05:51 time: 0.8132 data_time: 0.0415 memory: 9734 loss: 0.6305 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0354 loss_cls: 0.1631 acc: 100.0000 loss_bbox: 0.2036 loss_mask: 0.2038 +2024/01/17 10:33:42 - mmengine - INFO - Epoch(train) [27][ 350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:05:11 time: 0.7886 data_time: 0.0275 memory: 11102 loss: 0.4517 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0276 loss_cls: 0.0977 acc: 95.1172 loss_bbox: 0.1476 loss_mask: 0.1645 +2024/01/17 10:34:22 - mmengine - INFO - Epoch(train) [27][ 400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:04:32 time: 0.8027 data_time: 0.0324 memory: 11027 loss: 0.5129 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0298 loss_cls: 0.1352 acc: 89.2578 loss_bbox: 0.1657 loss_mask: 0.1713 +2024/01/17 10:34:39 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 10:35:02 - mmengine - INFO - Epoch(train) [27][ 450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:03:52 time: 0.7917 data_time: 0.0326 memory: 10574 loss: 0.5799 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0294 loss_cls: 0.1371 acc: 84.3750 loss_bbox: 0.1826 loss_mask: 0.2144 +2024/01/17 10:35:42 - mmengine - INFO - Epoch(train) [27][ 500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:03:12 time: 0.7974 data_time: 0.0271 memory: 10067 loss: 0.5389 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0277 loss_cls: 0.1309 acc: 89.4531 loss_bbox: 0.1914 loss_mask: 0.1757 +2024/01/17 10:36:21 - mmengine - INFO - Epoch(train) [27][ 550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:02:33 time: 0.7898 data_time: 0.0340 memory: 10583 loss: 0.6681 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0419 loss_cls: 0.1565 acc: 78.9062 loss_bbox: 0.2232 loss_mask: 0.2201 +2024/01/17 10:37:02 - mmengine - INFO - Epoch(train) [27][ 600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:01:53 time: 0.8030 data_time: 0.0326 memory: 10653 loss: 0.5339 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0274 loss_cls: 0.1297 acc: 88.6719 loss_bbox: 0.1825 loss_mask: 0.1795 +2024/01/17 10:37:41 - mmengine - INFO - Epoch(train) [27][ 650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:01:13 time: 0.7879 data_time: 0.0265 memory: 10572 loss: 0.5155 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0204 loss_cls: 0.1228 acc: 97.2656 loss_bbox: 0.1812 loss_mask: 0.1787 +2024/01/17 10:38:21 - mmengine - INFO - Epoch(train) [27][ 700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 16:00:34 time: 0.7995 data_time: 0.0332 memory: 10397 loss: 0.6047 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0274 loss_cls: 0.1611 acc: 98.2422 loss_bbox: 0.2134 loss_mask: 0.1887 +2024/01/17 10:39:01 - mmengine - INFO - Epoch(train) [27][ 750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:59:54 time: 0.8016 data_time: 0.0340 memory: 10067 loss: 0.6218 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0299 loss_cls: 0.1617 acc: 92.5781 loss_bbox: 0.2061 loss_mask: 0.2002 +2024/01/17 10:39:41 - mmengine - INFO - Epoch(train) [27][ 800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:59:14 time: 0.7900 data_time: 0.0364 memory: 10299 loss: 0.6202 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0351 loss_cls: 0.1642 acc: 96.2891 loss_bbox: 0.2119 loss_mask: 0.1923 +2024/01/17 10:40:21 - mmengine - INFO - Epoch(train) [27][ 850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:58:35 time: 0.8088 data_time: 0.0390 memory: 10476 loss: 0.7313 loss_rpn_cls: 0.0373 loss_rpn_bbox: 0.0428 loss_cls: 0.1906 acc: 94.9219 loss_bbox: 0.2534 loss_mask: 0.2073 +2024/01/17 10:41:02 - mmengine - INFO - Epoch(train) [27][ 900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:57:56 time: 0.8093 data_time: 0.0294 memory: 10067 loss: 0.5364 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0249 loss_cls: 0.1332 acc: 99.8047 loss_bbox: 0.1845 loss_mask: 0.1803 +2024/01/17 10:41:40 - mmengine - INFO - Epoch(train) [27][ 950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:57:16 time: 0.7749 data_time: 0.0284 memory: 9120 loss: 0.5784 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0242 loss_cls: 0.1629 acc: 98.8281 loss_bbox: 0.2011 loss_mask: 0.1729 +2024/01/17 10:42:19 - mmengine - INFO - Epoch(train) [27][1000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:56:36 time: 0.7781 data_time: 0.0351 memory: 10572 loss: 0.6298 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0362 loss_cls: 0.1647 acc: 88.4766 loss_bbox: 0.2140 loss_mask: 0.1876 +2024/01/17 10:42:59 - mmengine - INFO - Epoch(train) [27][1050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:55:56 time: 0.7985 data_time: 0.0330 memory: 9601 loss: 0.5816 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0265 loss_cls: 0.1385 acc: 96.6797 loss_bbox: 0.1959 loss_mask: 0.2054 +2024/01/17 10:43:39 - mmengine - INFO - Epoch(train) [27][1100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:55:16 time: 0.7892 data_time: 0.0285 memory: 9122 loss: 0.5888 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0332 loss_cls: 0.1512 acc: 93.1641 loss_bbox: 0.1934 loss_mask: 0.1942 +2024/01/17 10:44:19 - mmengine - INFO - Epoch(train) [27][1150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:54:37 time: 0.8052 data_time: 0.0326 memory: 10569 loss: 0.6033 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0289 loss_cls: 0.1449 acc: 85.1562 loss_bbox: 0.2024 loss_mask: 0.2057 +2024/01/17 10:44:58 - mmengine - INFO - Epoch(train) [27][1200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:53:57 time: 0.7866 data_time: 0.0360 memory: 10513 loss: 0.6638 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0410 loss_cls: 0.1630 acc: 97.0703 loss_bbox: 0.2186 loss_mask: 0.2205 +2024/01/17 10:45:38 - mmengine - INFO - Epoch(train) [27][1250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:53:17 time: 0.7835 data_time: 0.0334 memory: 9180 loss: 0.6164 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0327 loss_cls: 0.1506 acc: 99.4141 loss_bbox: 0.2033 loss_mask: 0.2081 +2024/01/17 10:46:17 - mmengine - INFO - Epoch(train) [27][1300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:52:37 time: 0.7846 data_time: 0.0368 memory: 9459 loss: 0.6154 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0319 loss_cls: 0.1599 acc: 87.8906 loss_bbox: 0.2104 loss_mask: 0.1965 +2024/01/17 10:46:57 - mmengine - INFO - Epoch(train) [27][1350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:51:58 time: 0.8093 data_time: 0.0330 memory: 10572 loss: 0.5428 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0262 loss_cls: 0.1360 acc: 96.8750 loss_bbox: 0.1843 loss_mask: 0.1815 +2024/01/17 10:47:38 - mmengine - INFO - Epoch(train) [27][1400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:51:18 time: 0.8185 data_time: 0.0340 memory: 9437 loss: 0.5833 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0250 loss_cls: 0.1438 acc: 94.3359 loss_bbox: 0.2047 loss_mask: 0.2001 +2024/01/17 10:47:54 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 10:48:18 - mmengine - INFO - Epoch(train) [27][1450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:50:39 time: 0.7971 data_time: 0.0338 memory: 10067 loss: 0.5427 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0274 loss_cls: 0.1385 acc: 99.6094 loss_bbox: 0.1833 loss_mask: 0.1797 +2024/01/17 10:48:57 - mmengine - INFO - Epoch(train) [27][1500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:49:59 time: 0.7810 data_time: 0.0270 memory: 10067 loss: 0.5156 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0207 loss_cls: 0.1404 acc: 91.4062 loss_bbox: 0.1611 loss_mask: 0.1800 +2024/01/17 10:49:37 - mmengine - INFO - Epoch(train) [27][1550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:49:19 time: 0.7860 data_time: 0.0364 memory: 9949 loss: 0.5456 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0316 loss_cls: 0.1264 acc: 97.6562 loss_bbox: 0.1827 loss_mask: 0.1862 +2024/01/17 10:50:17 - mmengine - INFO - Epoch(train) [27][1600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:48:40 time: 0.8165 data_time: 0.0326 memory: 10067 loss: 0.5879 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0241 loss_cls: 0.1501 acc: 93.1641 loss_bbox: 0.2162 loss_mask: 0.1866 +2024/01/17 10:50:58 - mmengine - INFO - Epoch(train) [27][1650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:48:00 time: 0.8010 data_time: 0.0330 memory: 11517 loss: 0.5962 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0288 loss_cls: 0.1452 acc: 93.7500 loss_bbox: 0.2024 loss_mask: 0.2020 +2024/01/17 10:51:37 - mmengine - INFO - Epoch(train) [27][1700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:47:21 time: 0.7975 data_time: 0.0345 memory: 9737 loss: 0.5254 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0245 loss_cls: 0.1273 acc: 94.5312 loss_bbox: 0.1928 loss_mask: 0.1682 +2024/01/17 10:52:18 - mmengine - INFO - Epoch(train) [27][1750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:46:41 time: 0.8014 data_time: 0.0336 memory: 10572 loss: 0.5758 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0330 loss_cls: 0.1445 acc: 87.1094 loss_bbox: 0.1881 loss_mask: 0.1932 +2024/01/17 10:52:57 - mmengine - INFO - Epoch(train) [27][1800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:46:01 time: 0.7951 data_time: 0.0322 memory: 10344 loss: 0.5564 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0254 loss_cls: 0.1478 acc: 99.6094 loss_bbox: 0.1828 loss_mask: 0.1831 +2024/01/17 10:53:37 - mmengine - INFO - Epoch(train) [27][1850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:45:22 time: 0.7978 data_time: 0.0334 memory: 10572 loss: 0.6194 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0340 loss_cls: 0.1559 acc: 96.0938 loss_bbox: 0.1989 loss_mask: 0.2039 +2024/01/17 10:54:17 - mmengine - INFO - Epoch(train) [27][1900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:44:42 time: 0.7990 data_time: 0.0340 memory: 10399 loss: 0.6293 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0337 loss_cls: 0.1558 acc: 98.6328 loss_bbox: 0.2126 loss_mask: 0.2127 +2024/01/17 10:54:57 - mmengine - INFO - Epoch(train) [27][1950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:44:02 time: 0.7888 data_time: 0.0355 memory: 10572 loss: 0.6510 loss_rpn_cls: 0.0309 loss_rpn_bbox: 0.0403 loss_cls: 0.1596 acc: 98.2422 loss_bbox: 0.2083 loss_mask: 0.2119 +2024/01/17 10:55:36 - mmengine - INFO - Epoch(train) [27][2000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:43:23 time: 0.7932 data_time: 0.0338 memory: 10067 loss: 0.5990 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0320 loss_cls: 0.1460 acc: 86.1328 loss_bbox: 0.2050 loss_mask: 0.1954 +2024/01/17 10:56:17 - mmengine - INFO - Epoch(train) [27][2050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:42:43 time: 0.8050 data_time: 0.0334 memory: 10572 loss: 0.6190 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0369 loss_cls: 0.1592 acc: 95.3125 loss_bbox: 0.2018 loss_mask: 0.1994 +2024/01/17 10:56:57 - mmengine - INFO - Epoch(train) [27][2100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:42:04 time: 0.8064 data_time: 0.0325 memory: 10572 loss: 0.5820 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0334 loss_cls: 0.1445 acc: 96.4844 loss_bbox: 0.1880 loss_mask: 0.1935 +2024/01/17 10:57:37 - mmengine - INFO - Epoch(train) [27][2150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:41:24 time: 0.7980 data_time: 0.0359 memory: 9949 loss: 0.6121 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0386 loss_cls: 0.1622 acc: 96.8750 loss_bbox: 0.2086 loss_mask: 0.1742 +2024/01/17 10:58:17 - mmengine - INFO - Epoch(train) [27][2200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:40:45 time: 0.8030 data_time: 0.0339 memory: 10067 loss: 0.5997 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0347 loss_cls: 0.1521 acc: 99.8047 loss_bbox: 0.2035 loss_mask: 0.1851 +2024/01/17 10:58:57 - mmengine - INFO - Epoch(train) [27][2250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:40:05 time: 0.8002 data_time: 0.0416 memory: 9120 loss: 0.6528 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0335 loss_cls: 0.1712 acc: 98.4375 loss_bbox: 0.2253 loss_mask: 0.2008 +2024/01/17 10:59:37 - mmengine - INFO - Epoch(train) [27][2300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:39:25 time: 0.7980 data_time: 0.0315 memory: 10787 loss: 0.5398 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0254 loss_cls: 0.1297 acc: 97.2656 loss_bbox: 0.1739 loss_mask: 0.1963 +2024/01/17 11:00:17 - mmengine - INFO - Epoch(train) [27][2350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:38:46 time: 0.7999 data_time: 0.0362 memory: 10568 loss: 0.6616 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0369 loss_cls: 0.1752 acc: 89.0625 loss_bbox: 0.2244 loss_mask: 0.2073 +2024/01/17 11:00:56 - mmengine - INFO - Epoch(train) [27][2400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:38:06 time: 0.7868 data_time: 0.0330 memory: 10209 loss: 0.5784 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0302 loss_cls: 0.1481 acc: 91.4062 loss_bbox: 0.1846 loss_mask: 0.1954 +2024/01/17 11:01:12 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 11:01:36 - mmengine - INFO - Epoch(train) [27][2450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:37:26 time: 0.7907 data_time: 0.0348 memory: 10067 loss: 0.6058 loss_rpn_cls: 0.0319 loss_rpn_bbox: 0.0383 loss_cls: 0.1515 acc: 89.6484 loss_bbox: 0.1963 loss_mask: 0.1878 +2024/01/17 11:02:16 - mmengine - INFO - Epoch(train) [27][2500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:36:47 time: 0.8031 data_time: 0.0339 memory: 10300 loss: 0.6261 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0307 loss_cls: 0.1616 acc: 92.5781 loss_bbox: 0.2138 loss_mask: 0.1974 +2024/01/17 11:02:56 - mmengine - INFO - Epoch(train) [27][2550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:36:07 time: 0.7953 data_time: 0.0305 memory: 10067 loss: 0.5456 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0227 loss_cls: 0.1351 acc: 91.0156 loss_bbox: 0.1848 loss_mask: 0.1898 +2024/01/17 11:03:36 - mmengine - INFO - Epoch(train) [27][2600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:35:27 time: 0.7976 data_time: 0.0343 memory: 10715 loss: 0.6245 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0307 loss_cls: 0.1668 acc: 97.0703 loss_bbox: 0.2020 loss_mask: 0.1989 +2024/01/17 11:04:16 - mmengine - INFO - Epoch(train) [27][2650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:34:48 time: 0.7975 data_time: 0.0320 memory: 10063 loss: 0.6133 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0352 loss_cls: 0.1521 acc: 99.2188 loss_bbox: 0.2022 loss_mask: 0.1990 +2024/01/17 11:04:56 - mmengine - INFO - Epoch(train) [27][2700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:34:08 time: 0.8052 data_time: 0.0347 memory: 10198 loss: 0.5995 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0344 loss_cls: 0.1547 acc: 98.6328 loss_bbox: 0.1958 loss_mask: 0.1969 +2024/01/17 11:05:37 - mmengine - INFO - Epoch(train) [27][2750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:33:29 time: 0.8070 data_time: 0.0366 memory: 11102 loss: 0.6140 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0312 loss_cls: 0.1575 acc: 81.0547 loss_bbox: 0.2099 loss_mask: 0.1953 +2024/01/17 11:06:16 - mmengine - INFO - Epoch(train) [27][2800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:32:49 time: 0.7870 data_time: 0.0303 memory: 10657 loss: 0.5820 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0282 loss_cls: 0.1457 acc: 94.3359 loss_bbox: 0.1979 loss_mask: 0.1925 +2024/01/17 11:06:56 - mmengine - INFO - Epoch(train) [27][2850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:32:09 time: 0.7917 data_time: 0.0364 memory: 10067 loss: 0.6943 loss_rpn_cls: 0.0276 loss_rpn_bbox: 0.0391 loss_cls: 0.1896 acc: 85.3516 loss_bbox: 0.2360 loss_mask: 0.2020 +2024/01/17 11:07:36 - mmengine - INFO - Epoch(train) [27][2900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:31:30 time: 0.8003 data_time: 0.0347 memory: 9734 loss: 0.5725 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0300 loss_cls: 0.1430 acc: 99.0234 loss_bbox: 0.1945 loss_mask: 0.1909 +2024/01/17 11:08:15 - mmengine - INFO - Epoch(train) [27][2950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:30:50 time: 0.7949 data_time: 0.0371 memory: 9949 loss: 0.6772 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0313 loss_cls: 0.1914 acc: 96.4844 loss_bbox: 0.2318 loss_mask: 0.2020 +2024/01/17 11:08:55 - mmengine - INFO - Epoch(train) [27][3000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:30:10 time: 0.7850 data_time: 0.0335 memory: 9690 loss: 0.5843 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0358 loss_cls: 0.1394 acc: 99.8047 loss_bbox: 0.2020 loss_mask: 0.1881 +2024/01/17 11:09:35 - mmengine - INFO - Epoch(train) [27][3050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:29:31 time: 0.8008 data_time: 0.0334 memory: 9437 loss: 0.6317 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0419 loss_cls: 0.1627 acc: 99.8047 loss_bbox: 0.2120 loss_mask: 0.1878 +2024/01/17 11:10:14 - mmengine - INFO - Epoch(train) [27][3100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:28:51 time: 0.7878 data_time: 0.0357 memory: 10067 loss: 0.6228 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0354 loss_cls: 0.1505 acc: 95.7031 loss_bbox: 0.2063 loss_mask: 0.2075 +2024/01/17 11:10:53 - mmengine - INFO - Epoch(train) [27][3150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:28:11 time: 0.7843 data_time: 0.0350 memory: 10568 loss: 0.5543 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0264 loss_cls: 0.1517 acc: 93.3594 loss_bbox: 0.1877 loss_mask: 0.1736 +2024/01/17 11:11:34 - mmengine - INFO - Epoch(train) [27][3200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:27:31 time: 0.8093 data_time: 0.0277 memory: 9800 loss: 0.6867 loss_rpn_cls: 0.0251 loss_rpn_bbox: 0.0275 loss_cls: 0.1946 acc: 98.8281 loss_bbox: 0.2297 loss_mask: 0.2097 +2024/01/17 11:12:13 - mmengine - INFO - Epoch(train) [27][3250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:26:52 time: 0.7851 data_time: 0.0270 memory: 10067 loss: 0.5694 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0220 loss_cls: 0.1456 acc: 90.6250 loss_bbox: 0.1912 loss_mask: 0.1968 +2024/01/17 11:12:53 - mmengine - INFO - Epoch(train) [27][3300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:26:12 time: 0.7980 data_time: 0.0307 memory: 11067 loss: 0.5660 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0300 loss_cls: 0.1364 acc: 99.8047 loss_bbox: 0.1983 loss_mask: 0.1846 +2024/01/17 11:13:33 - mmengine - INFO - Epoch(train) [27][3350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:25:32 time: 0.7891 data_time: 0.0310 memory: 9706 loss: 0.6837 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0353 loss_cls: 0.1809 acc: 98.2422 loss_bbox: 0.2389 loss_mask: 0.2085 +2024/01/17 11:14:13 - mmengine - INFO - Epoch(train) [27][3400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:24:53 time: 0.8141 data_time: 0.0341 memory: 10361 loss: 0.6864 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0368 loss_cls: 0.1818 acc: 89.4531 loss_bbox: 0.2346 loss_mask: 0.2069 +2024/01/17 11:14:29 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 11:14:53 - mmengine - INFO - Epoch(train) [27][3450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:24:13 time: 0.7926 data_time: 0.0358 memory: 10324 loss: 0.5821 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0383 loss_cls: 0.1415 acc: 85.1562 loss_bbox: 0.1927 loss_mask: 0.1901 +2024/01/17 11:15:33 - mmengine - INFO - Epoch(train) [27][3500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:23:33 time: 0.7915 data_time: 0.0355 memory: 10788 loss: 0.7088 loss_rpn_cls: 0.0332 loss_rpn_bbox: 0.0442 loss_cls: 0.1786 acc: 97.4609 loss_bbox: 0.2327 loss_mask: 0.2201 +2024/01/17 11:16:13 - mmengine - INFO - Epoch(train) [27][3550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:22:54 time: 0.8024 data_time: 0.0348 memory: 10513 loss: 0.6598 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0324 loss_cls: 0.1721 acc: 86.7188 loss_bbox: 0.2179 loss_mask: 0.2164 +2024/01/17 11:16:53 - mmengine - INFO - Epoch(train) [27][3600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:22:14 time: 0.7955 data_time: 0.0275 memory: 9381 loss: 0.6107 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0294 loss_cls: 0.1587 acc: 90.6250 loss_bbox: 0.2055 loss_mask: 0.2000 +2024/01/17 11:17:33 - mmengine - INFO - Epoch(train) [27][3650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:21:35 time: 0.8170 data_time: 0.0312 memory: 10506 loss: 0.5542 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0249 loss_cls: 0.1347 acc: 99.0234 loss_bbox: 0.1800 loss_mask: 0.2007 +2024/01/17 11:18:14 - mmengine - INFO - Epoch(train) [27][3700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:20:55 time: 0.8005 data_time: 0.0397 memory: 11099 loss: 0.6120 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0335 loss_cls: 0.1576 acc: 99.8047 loss_bbox: 0.2049 loss_mask: 0.1940 +2024/01/17 11:18:53 - mmengine - INFO - Epoch(train) [27][3750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:20:16 time: 0.7882 data_time: 0.0286 memory: 9601 loss: 0.5166 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0243 loss_cls: 0.1279 acc: 99.0234 loss_bbox: 0.1580 loss_mask: 0.1964 +2024/01/17 11:19:33 - mmengine - INFO - Epoch(train) [27][3800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:19:36 time: 0.7904 data_time: 0.0342 memory: 10344 loss: 0.6212 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0419 loss_cls: 0.1602 acc: 96.4844 loss_bbox: 0.2056 loss_mask: 0.1916 +2024/01/17 11:20:13 - mmengine - INFO - Epoch(train) [27][3850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:18:56 time: 0.8062 data_time: 0.0319 memory: 10583 loss: 0.5764 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0288 loss_cls: 0.1491 acc: 83.5938 loss_bbox: 0.1832 loss_mask: 0.1979 +2024/01/17 11:20:53 - mmengine - INFO - Epoch(train) [27][3900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:18:17 time: 0.8111 data_time: 0.0344 memory: 10067 loss: 0.6838 loss_rpn_cls: 0.0306 loss_rpn_bbox: 0.0330 loss_cls: 0.1953 acc: 90.2344 loss_bbox: 0.2232 loss_mask: 0.2017 +2024/01/17 11:21:33 - mmengine - INFO - Epoch(train) [27][3950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:17:37 time: 0.7926 data_time: 0.0314 memory: 10067 loss: 0.5113 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0222 loss_cls: 0.1325 acc: 95.7031 loss_bbox: 0.1642 loss_mask: 0.1722 +2024/01/17 11:22:13 - mmengine - INFO - Epoch(train) [27][4000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:16:58 time: 0.7956 data_time: 0.0299 memory: 9947 loss: 0.5857 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0280 loss_cls: 0.1589 acc: 84.5703 loss_bbox: 0.2006 loss_mask: 0.1811 +2024/01/17 11:22:53 - mmengine - INFO - Epoch(train) [27][4050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:16:18 time: 0.8000 data_time: 0.0366 memory: 8913 loss: 0.6308 loss_rpn_cls: 0.0284 loss_rpn_bbox: 0.0316 loss_cls: 0.1599 acc: 94.7266 loss_bbox: 0.1982 loss_mask: 0.2128 +2024/01/17 11:23:33 - mmengine - INFO - Epoch(train) [27][4100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:15:38 time: 0.7941 data_time: 0.0253 memory: 9800 loss: 0.4876 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0220 loss_cls: 0.1192 acc: 99.4141 loss_bbox: 0.1611 loss_mask: 0.1688 +2024/01/17 11:24:13 - mmengine - INFO - Epoch(train) [27][4150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:14:59 time: 0.8028 data_time: 0.0352 memory: 10516 loss: 0.5450 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0258 loss_cls: 0.1527 acc: 90.2344 loss_bbox: 0.1728 loss_mask: 0.1763 +2024/01/17 11:24:52 - mmengine - INFO - Epoch(train) [27][4200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:14:19 time: 0.7908 data_time: 0.0323 memory: 10645 loss: 0.6523 loss_rpn_cls: 0.0297 loss_rpn_bbox: 0.0311 loss_cls: 0.1646 acc: 97.8516 loss_bbox: 0.2181 loss_mask: 0.2088 +2024/01/17 11:25:32 - mmengine - INFO - Epoch(train) [27][4250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:13:39 time: 0.7856 data_time: 0.0405 memory: 10572 loss: 0.7416 loss_rpn_cls: 0.0337 loss_rpn_bbox: 0.0381 loss_cls: 0.1823 acc: 91.9922 loss_bbox: 0.2688 loss_mask: 0.2188 +2024/01/17 11:26:12 - mmengine - INFO - Epoch(train) [27][4300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:13:00 time: 0.7985 data_time: 0.0334 memory: 9587 loss: 0.5423 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0277 loss_cls: 0.1411 acc: 97.4609 loss_bbox: 0.1761 loss_mask: 0.1793 +2024/01/17 11:26:51 - mmengine - INFO - Epoch(train) [27][4350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:12:20 time: 0.7947 data_time: 0.0298 memory: 10068 loss: 0.4932 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0231 loss_cls: 0.1185 acc: 88.4766 loss_bbox: 0.1622 loss_mask: 0.1727 +2024/01/17 11:27:31 - mmengine - INFO - Epoch(train) [27][4400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:11:40 time: 0.7938 data_time: 0.0328 memory: 10432 loss: 0.5973 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0293 loss_cls: 0.1608 acc: 92.5781 loss_bbox: 0.1915 loss_mask: 0.1897 +2024/01/17 11:27:47 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 11:28:11 - mmengine - INFO - Epoch(train) [27][4450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:11:00 time: 0.7944 data_time: 0.0286 memory: 10405 loss: 0.5262 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0244 loss_cls: 0.1320 acc: 88.8672 loss_bbox: 0.1726 loss_mask: 0.1844 +2024/01/17 11:28:51 - mmengine - INFO - Epoch(train) [27][4500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:10:21 time: 0.8059 data_time: 0.0339 memory: 10583 loss: 0.5980 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0270 loss_cls: 0.1484 acc: 98.6328 loss_bbox: 0.2044 loss_mask: 0.2022 +2024/01/17 11:29:30 - mmengine - INFO - Epoch(train) [27][4550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:09:41 time: 0.7789 data_time: 0.0379 memory: 9736 loss: 0.7462 loss_rpn_cls: 0.0263 loss_rpn_bbox: 0.0400 loss_cls: 0.2130 acc: 89.0625 loss_bbox: 0.2560 loss_mask: 0.2109 +2024/01/17 11:30:10 - mmengine - INFO - Epoch(train) [27][4600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:09:01 time: 0.7877 data_time: 0.0322 memory: 10324 loss: 0.5583 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0245 loss_cls: 0.1342 acc: 87.5000 loss_bbox: 0.1840 loss_mask: 0.1932 +2024/01/17 11:30:50 - mmengine - INFO - Epoch(train) [27][4650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:08:22 time: 0.8138 data_time: 0.0337 memory: 10299 loss: 0.6017 loss_rpn_cls: 0.0230 loss_rpn_bbox: 0.0241 loss_cls: 0.1748 acc: 94.7266 loss_bbox: 0.2008 loss_mask: 0.1790 +2024/01/17 11:31:30 - mmengine - INFO - Epoch(train) [27][4700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:07:42 time: 0.7971 data_time: 0.0318 memory: 11099 loss: 0.5509 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0287 loss_cls: 0.1396 acc: 96.6797 loss_bbox: 0.1767 loss_mask: 0.1892 +2024/01/17 11:32:10 - mmengine - INFO - Epoch(train) [27][4750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:07:03 time: 0.8001 data_time: 0.0368 memory: 10572 loss: 0.6369 loss_rpn_cls: 0.0236 loss_rpn_bbox: 0.0369 loss_cls: 0.1617 acc: 88.0859 loss_bbox: 0.2197 loss_mask: 0.1951 +2024/01/17 11:32:51 - mmengine - INFO - Epoch(train) [27][4800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:06:23 time: 0.8134 data_time: 0.0371 memory: 10274 loss: 0.6485 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0371 loss_cls: 0.1734 acc: 89.6484 loss_bbox: 0.2203 loss_mask: 0.1977 +2024/01/17 11:33:31 - mmengine - INFO - Epoch(train) [27][4850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:05:44 time: 0.7979 data_time: 0.0315 memory: 10207 loss: 0.6570 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0329 loss_cls: 0.1699 acc: 99.8047 loss_bbox: 0.2139 loss_mask: 0.2217 +2024/01/17 11:34:11 - mmengine - INFO - Epoch(train) [27][4900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:05:04 time: 0.7976 data_time: 0.0393 memory: 10568 loss: 0.6837 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0438 loss_cls: 0.1756 acc: 95.7031 loss_bbox: 0.2173 loss_mask: 0.2177 +2024/01/17 11:34:51 - mmengine - INFO - Epoch(train) [27][4950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:04:24 time: 0.8008 data_time: 0.0369 memory: 10568 loss: 0.6495 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0313 loss_cls: 0.1740 acc: 99.4141 loss_bbox: 0.2076 loss_mask: 0.2152 +2024/01/17 11:35:31 - mmengine - INFO - Epoch(train) [27][5000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:03:45 time: 0.8089 data_time: 0.0318 memory: 10572 loss: 0.5281 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0265 loss_cls: 0.1549 acc: 99.6094 loss_bbox: 0.1647 loss_mask: 0.1654 +2024/01/17 11:36:12 - mmengine - INFO - Epoch(train) [27][5050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:03:05 time: 0.8031 data_time: 0.0380 memory: 10572 loss: 0.5713 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0295 loss_cls: 0.1393 acc: 97.8516 loss_bbox: 0.1943 loss_mask: 0.1865 +2024/01/17 11:36:51 - mmengine - INFO - Epoch(train) [27][5100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:02:26 time: 0.7940 data_time: 0.0311 memory: 9253 loss: 0.6468 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0282 loss_cls: 0.1609 acc: 96.0938 loss_bbox: 0.2214 loss_mask: 0.2172 +2024/01/17 11:37:32 - mmengine - INFO - Epoch(train) [27][5150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:01:46 time: 0.8072 data_time: 0.0367 memory: 10789 loss: 0.6374 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0323 loss_cls: 0.1776 acc: 97.2656 loss_bbox: 0.2232 loss_mask: 0.1871 +2024/01/17 11:38:12 - mmengine - INFO - Epoch(train) [27][5200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:01:07 time: 0.8082 data_time: 0.0319 memory: 9253 loss: 0.5186 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0189 loss_cls: 0.1335 acc: 94.7266 loss_bbox: 0.1772 loss_mask: 0.1762 +2024/01/17 11:38:52 - mmengine - INFO - Epoch(train) [27][5250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 15:00:27 time: 0.8032 data_time: 0.0302 memory: 10995 loss: 0.5523 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0276 loss_cls: 0.1458 acc: 97.0703 loss_bbox: 0.1894 loss_mask: 0.1686 +2024/01/17 11:39:32 - mmengine - INFO - Epoch(train) [27][5300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:59:48 time: 0.7986 data_time: 0.0354 memory: 10572 loss: 0.5758 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0302 loss_cls: 0.1483 acc: 98.0469 loss_bbox: 0.1924 loss_mask: 0.1845 +2024/01/17 11:40:12 - mmengine - INFO - Epoch(train) [27][5350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:59:08 time: 0.7987 data_time: 0.0362 memory: 10358 loss: 0.6438 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0322 loss_cls: 0.1790 acc: 86.1328 loss_bbox: 0.2133 loss_mask: 0.2003 +2024/01/17 11:40:53 - mmengine - INFO - Epoch(train) [27][5400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:58:29 time: 0.8054 data_time: 0.0323 memory: 10568 loss: 0.6090 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0333 loss_cls: 0.1597 acc: 98.4375 loss_bbox: 0.2075 loss_mask: 0.1859 +2024/01/17 11:41:08 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 11:41:32 - mmengine - INFO - Epoch(train) [27][5450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:57:49 time: 0.7925 data_time: 0.0294 memory: 10583 loss: 0.5824 loss_rpn_cls: 0.0321 loss_rpn_bbox: 0.0259 loss_cls: 0.1468 acc: 94.9219 loss_bbox: 0.1852 loss_mask: 0.1924 +2024/01/17 11:42:12 - mmengine - INFO - Epoch(train) [27][5500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:57:09 time: 0.7862 data_time: 0.0347 memory: 10572 loss: 0.6601 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0332 loss_cls: 0.1664 acc: 99.8047 loss_bbox: 0.2327 loss_mask: 0.2038 +2024/01/17 11:42:52 - mmengine - INFO - Epoch(train) [27][5550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:56:30 time: 0.8084 data_time: 0.0250 memory: 10010 loss: 0.5212 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0195 loss_cls: 0.1173 acc: 93.1641 loss_bbox: 0.1684 loss_mask: 0.1963 +2024/01/17 11:43:32 - mmengine - INFO - Epoch(train) [27][5600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:55:50 time: 0.7934 data_time: 0.0305 memory: 10568 loss: 0.4953 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0227 loss_cls: 0.1238 acc: 87.6953 loss_bbox: 0.1659 loss_mask: 0.1699 +2024/01/17 11:44:12 - mmengine - INFO - Epoch(train) [27][5650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:55:10 time: 0.8038 data_time: 0.0357 memory: 10571 loss: 0.6462 loss_rpn_cls: 0.0342 loss_rpn_bbox: 0.0374 loss_cls: 0.1584 acc: 97.2656 loss_bbox: 0.2039 loss_mask: 0.2122 +2024/01/17 11:44:52 - mmengine - INFO - Epoch(train) [27][5700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:54:31 time: 0.8084 data_time: 0.0272 memory: 10572 loss: 0.4526 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0199 loss_cls: 0.1038 acc: 93.1641 loss_bbox: 0.1367 loss_mask: 0.1842 +2024/01/17 11:45:32 - mmengine - INFO - Epoch(train) [27][5750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:53:51 time: 0.7951 data_time: 0.0294 memory: 9180 loss: 0.5220 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0275 loss_cls: 0.1252 acc: 98.8281 loss_bbox: 0.1747 loss_mask: 0.1734 +2024/01/17 11:46:12 - mmengine - INFO - Epoch(train) [27][5800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:53:12 time: 0.7941 data_time: 0.0285 memory: 9459 loss: 0.4741 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0184 loss_cls: 0.1124 acc: 96.8750 loss_bbox: 0.1493 loss_mask: 0.1798 +2024/01/17 11:46:52 - mmengine - INFO - Epoch(train) [27][5850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:52:32 time: 0.8066 data_time: 0.0338 memory: 10789 loss: 0.5527 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0266 loss_cls: 0.1383 acc: 99.8047 loss_bbox: 0.1897 loss_mask: 0.1815 +2024/01/17 11:47:34 - mmengine - INFO - Epoch(train) [27][5900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:51:53 time: 0.8289 data_time: 0.0349 memory: 11102 loss: 0.6418 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0323 loss_cls: 0.1704 acc: 88.8672 loss_bbox: 0.2189 loss_mask: 0.2032 +2024/01/17 11:48:14 - mmengine - INFO - Epoch(train) [27][5950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:51:13 time: 0.7952 data_time: 0.0340 memory: 10572 loss: 0.5543 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0235 loss_cls: 0.1428 acc: 99.0234 loss_bbox: 0.1853 loss_mask: 0.1869 +2024/01/17 11:48:54 - mmengine - INFO - Epoch(train) [27][6000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:50:34 time: 0.8005 data_time: 0.0350 memory: 9459 loss: 0.6368 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0326 loss_cls: 0.1760 acc: 87.3047 loss_bbox: 0.2020 loss_mask: 0.1997 +2024/01/17 11:49:33 - mmengine - INFO - Epoch(train) [27][6050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:49:54 time: 0.7965 data_time: 0.0304 memory: 10583 loss: 0.6713 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0303 loss_cls: 0.1769 acc: 93.9453 loss_bbox: 0.2216 loss_mask: 0.2191 +2024/01/17 11:50:13 - mmengine - INFO - Epoch(train) [27][6100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:49:14 time: 0.7975 data_time: 0.0338 memory: 11513 loss: 0.5775 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0276 loss_cls: 0.1562 acc: 95.8984 loss_bbox: 0.1938 loss_mask: 0.1877 +2024/01/17 11:50:52 - mmengine - INFO - Epoch(train) [27][6150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:48:34 time: 0.7757 data_time: 0.0316 memory: 9601 loss: 0.6036 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0330 loss_cls: 0.1577 acc: 99.6094 loss_bbox: 0.1962 loss_mask: 0.2024 +2024/01/17 11:51:32 - mmengine - INFO - Epoch(train) [27][6200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:47:55 time: 0.8052 data_time: 0.0383 memory: 10296 loss: 0.6533 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0409 loss_cls: 0.1586 acc: 100.0000 loss_bbox: 0.2143 loss_mask: 0.2191 +2024/01/17 11:52:13 - mmengine - INFO - Epoch(train) [27][6250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:47:16 time: 0.8141 data_time: 0.0338 memory: 10295 loss: 0.5556 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0277 loss_cls: 0.1442 acc: 95.8984 loss_bbox: 0.1834 loss_mask: 0.1808 +2024/01/17 11:52:53 - mmengine - INFO - Epoch(train) [27][6300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:46:36 time: 0.7991 data_time: 0.0309 memory: 10298 loss: 0.6241 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0262 loss_cls: 0.1641 acc: 96.6797 loss_bbox: 0.2151 loss_mask: 0.1954 +2024/01/17 11:53:33 - mmengine - INFO - Epoch(train) [27][6350/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:45:56 time: 0.7918 data_time: 0.0310 memory: 9800 loss: 0.5286 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0268 loss_cls: 0.1420 acc: 97.8516 loss_bbox: 0.1640 loss_mask: 0.1773 +2024/01/17 11:54:12 - mmengine - INFO - Epoch(train) [27][6400/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:45:16 time: 0.7923 data_time: 0.0353 memory: 10583 loss: 0.5876 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0295 loss_cls: 0.1634 acc: 95.1172 loss_bbox: 0.1898 loss_mask: 0.1857 +2024/01/17 11:54:28 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 11:54:52 - mmengine - INFO - Epoch(train) [27][6450/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:44:37 time: 0.7800 data_time: 0.0353 memory: 10324 loss: 0.7244 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0376 loss_cls: 0.1959 acc: 95.5078 loss_bbox: 0.2454 loss_mask: 0.2223 +2024/01/17 11:55:31 - mmengine - INFO - Epoch(train) [27][6500/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:43:57 time: 0.7852 data_time: 0.0304 memory: 9882 loss: 0.5281 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0248 loss_cls: 0.1396 acc: 98.6328 loss_bbox: 0.1715 loss_mask: 0.1773 +2024/01/17 11:56:12 - mmengine - INFO - Epoch(train) [27][6550/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:43:17 time: 0.8151 data_time: 0.0340 memory: 9947 loss: 0.5927 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0331 loss_cls: 0.1574 acc: 98.4375 loss_bbox: 0.1953 loss_mask: 0.1912 +2024/01/17 11:56:52 - mmengine - INFO - Epoch(train) [27][6600/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:42:38 time: 0.8028 data_time: 0.0325 memory: 10093 loss: 0.5724 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0200 loss_cls: 0.1498 acc: 87.5000 loss_bbox: 0.1724 loss_mask: 0.2174 +2024/01/17 11:57:32 - mmengine - INFO - Epoch(train) [27][6650/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:41:58 time: 0.8091 data_time: 0.0289 memory: 10088 loss: 0.5265 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0182 loss_cls: 0.1380 acc: 99.2188 loss_bbox: 0.1545 loss_mask: 0.1961 +2024/01/17 11:58:13 - mmengine - INFO - Epoch(train) [27][6700/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:41:19 time: 0.8222 data_time: 0.0322 memory: 9523 loss: 0.6231 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0267 loss_cls: 0.1759 acc: 97.4609 loss_bbox: 0.1925 loss_mask: 0.2057 +2024/01/17 11:58:53 - mmengine - INFO - Epoch(train) [27][6750/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:40:39 time: 0.7946 data_time: 0.0308 memory: 9368 loss: 0.5402 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0292 loss_cls: 0.1279 acc: 99.2188 loss_bbox: 0.1767 loss_mask: 0.1841 +2024/01/17 11:59:33 - mmengine - INFO - Epoch(train) [27][6800/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:40:00 time: 0.7939 data_time: 0.0353 memory: 9734 loss: 0.6369 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0341 loss_cls: 0.1595 acc: 91.9922 loss_bbox: 0.2158 loss_mask: 0.2093 +2024/01/17 12:00:13 - mmengine - INFO - Epoch(train) [27][6850/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:39:20 time: 0.8027 data_time: 0.0381 memory: 9949 loss: 0.6241 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0436 loss_cls: 0.1650 acc: 98.8281 loss_bbox: 0.2087 loss_mask: 0.1894 +2024/01/17 12:00:53 - mmengine - INFO - Epoch(train) [27][6900/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:38:41 time: 0.7985 data_time: 0.0312 memory: 10583 loss: 0.6127 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0300 loss_cls: 0.1598 acc: 99.0234 loss_bbox: 0.2103 loss_mask: 0.1960 +2024/01/17 12:01:33 - mmengine - INFO - Epoch(train) [27][6950/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:38:01 time: 0.7898 data_time: 0.0391 memory: 10067 loss: 0.5857 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0314 loss_cls: 0.1417 acc: 87.5000 loss_bbox: 0.1904 loss_mask: 0.1932 +2024/01/17 12:02:13 - mmengine - INFO - Epoch(train) [27][7000/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:37:21 time: 0.8008 data_time: 0.0363 memory: 9686 loss: 0.6997 loss_rpn_cls: 0.0349 loss_rpn_bbox: 0.0343 loss_cls: 0.1811 acc: 91.7969 loss_bbox: 0.2310 loss_mask: 0.2185 +2024/01/17 12:02:52 - mmengine - INFO - Epoch(train) [27][7050/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:36:41 time: 0.7886 data_time: 0.0328 memory: 10572 loss: 0.5387 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0204 loss_cls: 0.1352 acc: 98.2422 loss_bbox: 0.1753 loss_mask: 0.1924 +2024/01/17 12:03:32 - mmengine - INFO - Epoch(train) [27][7100/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:36:02 time: 0.7986 data_time: 0.0395 memory: 9379 loss: 0.6329 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0392 loss_cls: 0.1698 acc: 89.2578 loss_bbox: 0.2188 loss_mask: 0.1818 +2024/01/17 12:04:13 - mmengine - INFO - Epoch(train) [27][7150/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:35:22 time: 0.8086 data_time: 0.0328 memory: 10582 loss: 0.5729 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0265 loss_cls: 0.1491 acc: 97.6562 loss_bbox: 0.1971 loss_mask: 0.1834 +2024/01/17 12:04:52 - mmengine - INFO - Epoch(train) [27][7200/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:34:43 time: 0.7946 data_time: 0.0351 memory: 10572 loss: 0.6100 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0398 loss_cls: 0.1591 acc: 86.7188 loss_bbox: 0.2027 loss_mask: 0.1868 +2024/01/17 12:05:32 - mmengine - INFO - Epoch(train) [27][7250/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:34:03 time: 0.7988 data_time: 0.0359 memory: 9694 loss: 0.6116 loss_rpn_cls: 0.0226 loss_rpn_bbox: 0.0368 loss_cls: 0.1564 acc: 86.7188 loss_bbox: 0.1959 loss_mask: 0.1998 +2024/01/17 12:06:12 - mmengine - INFO - Epoch(train) [27][7300/7330] base_lr: 1.0000e-04 lr: 1.0000e-04 eta: 14:33:23 time: 0.7986 data_time: 0.0384 memory: 9737 loss: 0.6066 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0332 loss_cls: 0.1579 acc: 98.8281 loss_bbox: 0.1986 loss_mask: 0.1981 +2024/01/17 12:06:36 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 12:06:36 - mmengine - INFO - Saving checkpoint at 27 epochs +2024/01/17 12:06:51 - mmengine - INFO - Epoch(val) [27][ 50/313] eta: 0:00:58 time: 0.2214 data_time: 0.0617 memory: 10700 +2024/01/17 12:07:01 - mmengine - INFO - Epoch(val) [27][100/313] eta: 0:00:44 time: 0.1963 data_time: 0.0353 memory: 2388 +2024/01/17 12:07:11 - mmengine - INFO - Epoch(val) [27][150/313] eta: 0:00:33 time: 0.2023 data_time: 0.0449 memory: 2431 +2024/01/17 12:07:21 - mmengine - INFO - Epoch(val) [27][200/313] eta: 0:00:23 time: 0.2097 data_time: 0.0481 memory: 2403 +2024/01/17 12:07:31 - mmengine - INFO - Epoch(val) [27][250/313] eta: 0:00:12 time: 0.1884 data_time: 0.0328 memory: 2431 +2024/01/17 12:07:41 - mmengine - INFO - Epoch(val) [27][300/313] eta: 0:00:02 time: 0.1957 data_time: 0.0363 memory: 2403 +2024/01/17 12:07:49 - mmengine - INFO - Evaluating bbox... +2024/01/17 12:08:14 - mmengine - INFO - bbox_mAP_copypaste: 0.462 0.674 0.505 0.297 0.500 0.598 +2024/01/17 12:08:14 - mmengine - INFO - Evaluating segm... +2024/01/17 12:08:42 - mmengine - INFO - segm_mAP_copypaste: 0.411 0.644 0.439 0.216 0.442 0.586 +2024/01/17 12:08:42 - mmengine - INFO - Epoch(val) [27][313/313] coco/bbox_mAP: 0.4620 coco/bbox_mAP_50: 0.6740 coco/bbox_mAP_75: 0.5050 coco/bbox_mAP_s: 0.2970 coco/bbox_mAP_m: 0.5000 coco/bbox_mAP_l: 0.5980 coco/segm_mAP: 0.4110 coco/segm_mAP_50: 0.6440 coco/segm_mAP_75: 0.4390 coco/segm_mAP_s: 0.2160 coco/segm_mAP_m: 0.4420 coco/segm_mAP_l: 0.5860 data_time: 0.0414 time: 0.2003 +2024/01/17 12:09:23 - mmengine - INFO - Epoch(train) [28][ 50/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:32:20 time: 0.8122 data_time: 0.0394 memory: 10568 loss: 0.5544 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0309 loss_cls: 0.1445 acc: 93.9453 loss_bbox: 0.1790 loss_mask: 0.1760 +2024/01/17 12:09:55 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 12:10:03 - mmengine - INFO - Epoch(train) [28][ 100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:31:40 time: 0.8002 data_time: 0.0328 memory: 9737 loss: 0.5606 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0338 loss_cls: 0.1383 acc: 99.8047 loss_bbox: 0.1812 loss_mask: 0.1906 +2024/01/17 12:10:42 - mmengine - INFO - Epoch(train) [28][ 150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:31:01 time: 0.7846 data_time: 0.0318 memory: 10067 loss: 0.6262 loss_rpn_cls: 0.0260 loss_rpn_bbox: 0.0351 loss_cls: 0.1591 acc: 87.8906 loss_bbox: 0.2096 loss_mask: 0.1964 +2024/01/17 12:11:23 - mmengine - INFO - Epoch(train) [28][ 200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:30:21 time: 0.8008 data_time: 0.0366 memory: 10067 loss: 0.5376 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0270 loss_cls: 0.1307 acc: 99.4141 loss_bbox: 0.1797 loss_mask: 0.1811 +2024/01/17 12:12:03 - mmengine - INFO - Epoch(train) [28][ 250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:29:41 time: 0.8019 data_time: 0.0360 memory: 10067 loss: 0.5290 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0264 loss_cls: 0.1463 acc: 85.5469 loss_bbox: 0.1682 loss_mask: 0.1712 +2024/01/17 12:12:42 - mmengine - INFO - Epoch(train) [28][ 300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:29:02 time: 0.7909 data_time: 0.0328 memory: 9429 loss: 0.5605 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0296 loss_cls: 0.1380 acc: 98.2422 loss_bbox: 0.1903 loss_mask: 0.1812 +2024/01/17 12:13:22 - mmengine - INFO - Epoch(train) [28][ 350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:28:22 time: 0.7888 data_time: 0.0354 memory: 11102 loss: 0.6056 loss_rpn_cls: 0.0255 loss_rpn_bbox: 0.0314 loss_cls: 0.1528 acc: 96.4844 loss_bbox: 0.1999 loss_mask: 0.1958 +2024/01/17 12:14:02 - mmengine - INFO - Epoch(train) [28][ 400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:27:42 time: 0.8017 data_time: 0.0307 memory: 10583 loss: 0.5348 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0268 loss_cls: 0.1235 acc: 79.4922 loss_bbox: 0.1782 loss_mask: 0.1893 +2024/01/17 12:14:42 - mmengine - INFO - Epoch(train) [28][ 450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:27:03 time: 0.7980 data_time: 0.0332 memory: 10789 loss: 0.5619 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0265 loss_cls: 0.1458 acc: 90.8203 loss_bbox: 0.1990 loss_mask: 0.1741 +2024/01/17 12:15:22 - mmengine - INFO - Epoch(train) [28][ 500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:26:23 time: 0.8034 data_time: 0.0372 memory: 10398 loss: 0.5735 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0316 loss_cls: 0.1390 acc: 99.4141 loss_bbox: 0.1905 loss_mask: 0.1929 +2024/01/17 12:16:02 - mmengine - INFO - Epoch(train) [28][ 550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:25:43 time: 0.7922 data_time: 0.0295 memory: 10622 loss: 0.5854 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0293 loss_cls: 0.1352 acc: 98.8281 loss_bbox: 0.1934 loss_mask: 0.2097 +2024/01/17 12:16:42 - mmengine - INFO - Epoch(train) [28][ 600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:25:04 time: 0.8050 data_time: 0.0333 memory: 10572 loss: 0.5442 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0286 loss_cls: 0.1319 acc: 85.3516 loss_bbox: 0.1722 loss_mask: 0.1964 +2024/01/17 12:17:21 - mmengine - INFO - Epoch(train) [28][ 650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:24:24 time: 0.7862 data_time: 0.0371 memory: 11099 loss: 0.5809 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0341 loss_cls: 0.1426 acc: 86.1328 loss_bbox: 0.1957 loss_mask: 0.1899 +2024/01/17 12:18:01 - mmengine - INFO - Epoch(train) [28][ 700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:23:44 time: 0.7947 data_time: 0.0330 memory: 11308 loss: 0.5517 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0246 loss_cls: 0.1383 acc: 88.8672 loss_bbox: 0.1920 loss_mask: 0.1843 +2024/01/17 12:18:41 - mmengine - INFO - Epoch(train) [28][ 750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:23:05 time: 0.8039 data_time: 0.0383 memory: 10069 loss: 0.5911 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0305 loss_cls: 0.1549 acc: 96.6797 loss_bbox: 0.1989 loss_mask: 0.1899 +2024/01/17 12:19:21 - mmengine - INFO - Epoch(train) [28][ 800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:22:25 time: 0.7966 data_time: 0.0321 memory: 9253 loss: 0.5255 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0254 loss_cls: 0.1365 acc: 95.8984 loss_bbox: 0.1779 loss_mask: 0.1718 +2024/01/17 12:20:01 - mmengine - INFO - Epoch(train) [28][ 850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:21:46 time: 0.8070 data_time: 0.0369 memory: 10572 loss: 0.5397 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0275 loss_cls: 0.1379 acc: 84.5703 loss_bbox: 0.1749 loss_mask: 0.1841 +2024/01/17 12:20:42 - mmengine - INFO - Epoch(train) [28][ 900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:21:06 time: 0.8073 data_time: 0.0318 memory: 10572 loss: 0.4892 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0196 loss_cls: 0.1109 acc: 96.0938 loss_bbox: 0.1524 loss_mask: 0.1924 +2024/01/17 12:21:21 - mmengine - INFO - Epoch(train) [28][ 950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:20:26 time: 0.7899 data_time: 0.0330 memory: 10568 loss: 0.5610 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0297 loss_cls: 0.1474 acc: 90.2344 loss_bbox: 0.1802 loss_mask: 0.1852 +2024/01/17 12:22:01 - mmengine - INFO - Epoch(train) [28][1000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:19:47 time: 0.7944 data_time: 0.0326 memory: 10509 loss: 0.5207 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0250 loss_cls: 0.1369 acc: 90.4297 loss_bbox: 0.1648 loss_mask: 0.1811 +2024/01/17 12:22:41 - mmengine - INFO - Epoch(train) [28][1050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:19:07 time: 0.8036 data_time: 0.0297 memory: 9491 loss: 0.4943 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0184 loss_cls: 0.1176 acc: 91.4062 loss_bbox: 0.1596 loss_mask: 0.1868 +2024/01/17 12:23:13 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 12:23:21 - mmengine - INFO - Epoch(train) [28][1100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:18:28 time: 0.7945 data_time: 0.0332 memory: 10067 loss: 0.6039 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0299 loss_cls: 0.1604 acc: 94.3359 loss_bbox: 0.1910 loss_mask: 0.1996 +2024/01/17 12:24:01 - mmengine - INFO - Epoch(train) [28][1150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:17:48 time: 0.7902 data_time: 0.0296 memory: 9737 loss: 0.4996 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0194 loss_cls: 0.1248 acc: 96.2891 loss_bbox: 0.1718 loss_mask: 0.1738 +2024/01/17 12:24:41 - mmengine - INFO - Epoch(train) [28][1200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:17:08 time: 0.8090 data_time: 0.0345 memory: 10152 loss: 0.4840 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0242 loss_cls: 0.1043 acc: 99.8047 loss_bbox: 0.1653 loss_mask: 0.1777 +2024/01/17 12:25:20 - mmengine - INFO - Epoch(train) [28][1250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:16:28 time: 0.7849 data_time: 0.0334 memory: 9949 loss: 0.6064 loss_rpn_cls: 0.0238 loss_rpn_bbox: 0.0324 loss_cls: 0.1571 acc: 95.3125 loss_bbox: 0.2078 loss_mask: 0.1853 +2024/01/17 12:25:59 - mmengine - INFO - Epoch(train) [28][1300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:15:49 time: 0.7793 data_time: 0.0297 memory: 10067 loss: 0.5148 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0223 loss_cls: 0.1312 acc: 90.8203 loss_bbox: 0.1814 loss_mask: 0.1666 +2024/01/17 12:26:39 - mmengine - INFO - Epoch(train) [28][1350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:15:09 time: 0.7859 data_time: 0.0305 memory: 10265 loss: 0.5287 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0263 loss_cls: 0.1265 acc: 99.0234 loss_bbox: 0.1697 loss_mask: 0.1912 +2024/01/17 12:27:19 - mmengine - INFO - Epoch(train) [28][1400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:14:29 time: 0.8052 data_time: 0.0347 memory: 10572 loss: 0.5325 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0255 loss_cls: 0.1342 acc: 99.4141 loss_bbox: 0.1792 loss_mask: 0.1803 +2024/01/17 12:27:59 - mmengine - INFO - Epoch(train) [28][1450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:13:50 time: 0.8068 data_time: 0.0303 memory: 9884 loss: 0.5781 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0310 loss_cls: 0.1382 acc: 93.3594 loss_bbox: 0.1933 loss_mask: 0.1948 +2024/01/17 12:28:39 - mmengine - INFO - Epoch(train) [28][1500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:13:10 time: 0.7854 data_time: 0.0319 memory: 10285 loss: 0.5375 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0264 loss_cls: 0.1372 acc: 97.6562 loss_bbox: 0.1834 loss_mask: 0.1695 +2024/01/17 12:29:18 - mmengine - INFO - Epoch(train) [28][1550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:12:30 time: 0.7840 data_time: 0.0281 memory: 9224 loss: 0.5098 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0233 loss_cls: 0.1280 acc: 91.7969 loss_bbox: 0.1653 loss_mask: 0.1734 +2024/01/17 12:29:57 - mmengine - INFO - Epoch(train) [28][1600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:11:50 time: 0.7809 data_time: 0.0336 memory: 10067 loss: 0.4748 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0255 loss_cls: 0.1171 acc: 97.6562 loss_bbox: 0.1663 loss_mask: 0.1544 +2024/01/17 12:30:37 - mmengine - INFO - Epoch(train) [28][1650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:11:11 time: 0.8046 data_time: 0.0397 memory: 11102 loss: 0.6306 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0384 loss_cls: 0.1717 acc: 81.6406 loss_bbox: 0.2126 loss_mask: 0.1895 +2024/01/17 12:31:18 - mmengine - INFO - Epoch(train) [28][1700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:10:31 time: 0.8048 data_time: 0.0318 memory: 10093 loss: 0.6005 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0357 loss_cls: 0.1586 acc: 94.3359 loss_bbox: 0.1954 loss_mask: 0.1896 +2024/01/17 12:31:58 - mmengine - INFO - Epoch(train) [28][1750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:09:51 time: 0.8009 data_time: 0.0349 memory: 10292 loss: 0.6310 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0280 loss_cls: 0.1569 acc: 94.9219 loss_bbox: 0.2262 loss_mask: 0.1959 +2024/01/17 12:32:38 - mmengine - INFO - Epoch(train) [28][1800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:09:12 time: 0.7965 data_time: 0.0333 memory: 10074 loss: 0.5404 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0267 loss_cls: 0.1288 acc: 87.5000 loss_bbox: 0.1766 loss_mask: 0.1890 +2024/01/17 12:33:17 - mmengine - INFO - Epoch(train) [28][1850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:08:32 time: 0.7836 data_time: 0.0300 memory: 9599 loss: 0.5182 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0249 loss_cls: 0.1197 acc: 97.8516 loss_bbox: 0.1784 loss_mask: 0.1859 +2024/01/17 12:33:56 - mmengine - INFO - Epoch(train) [28][1900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:07:52 time: 0.7858 data_time: 0.0362 memory: 10299 loss: 0.5485 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0275 loss_cls: 0.1306 acc: 88.0859 loss_bbox: 0.1936 loss_mask: 0.1819 +2024/01/17 12:34:36 - mmengine - INFO - Epoch(train) [28][1950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:07:13 time: 0.8055 data_time: 0.0402 memory: 11309 loss: 0.6613 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0415 loss_cls: 0.1732 acc: 96.0938 loss_bbox: 0.2257 loss_mask: 0.1971 +2024/01/17 12:35:16 - mmengine - INFO - Epoch(train) [28][2000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:06:33 time: 0.8005 data_time: 0.0345 memory: 10253 loss: 0.5234 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0305 loss_cls: 0.1289 acc: 99.0234 loss_bbox: 0.1790 loss_mask: 0.1641 +2024/01/17 12:35:56 - mmengine - INFO - Epoch(train) [28][2050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:05:53 time: 0.7935 data_time: 0.0373 memory: 9918 loss: 0.5397 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0238 loss_cls: 0.1359 acc: 83.3984 loss_bbox: 0.1776 loss_mask: 0.1834 +2024/01/17 12:36:28 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 12:36:36 - mmengine - INFO - Epoch(train) [28][2100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:05:13 time: 0.7909 data_time: 0.0354 memory: 10568 loss: 0.5649 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0309 loss_cls: 0.1429 acc: 87.3047 loss_bbox: 0.1988 loss_mask: 0.1765 +2024/01/17 12:37:16 - mmengine - INFO - Epoch(train) [28][2150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:04:34 time: 0.7965 data_time: 0.0312 memory: 9511 loss: 0.4883 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0237 loss_cls: 0.1193 acc: 98.8281 loss_bbox: 0.1534 loss_mask: 0.1675 +2024/01/17 12:37:57 - mmengine - INFO - Epoch(train) [28][2200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:03:55 time: 0.8336 data_time: 0.0335 memory: 11054 loss: 0.5647 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0232 loss_cls: 0.1465 acc: 98.8281 loss_bbox: 0.1893 loss_mask: 0.1897 +2024/01/17 12:38:37 - mmengine - INFO - Epoch(train) [28][2250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:03:15 time: 0.7981 data_time: 0.0335 memory: 10067 loss: 0.5331 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0265 loss_cls: 0.1318 acc: 94.1406 loss_bbox: 0.1800 loss_mask: 0.1810 +2024/01/17 12:39:18 - mmengine - INFO - Epoch(train) [28][2300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:02:36 time: 0.8091 data_time: 0.0285 memory: 10067 loss: 0.5332 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0255 loss_cls: 0.1297 acc: 98.0469 loss_bbox: 0.1812 loss_mask: 0.1832 +2024/01/17 12:39:58 - mmengine - INFO - Epoch(train) [28][2350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:01:56 time: 0.8031 data_time: 0.0314 memory: 10572 loss: 0.5382 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0265 loss_cls: 0.1304 acc: 90.2344 loss_bbox: 0.1851 loss_mask: 0.1818 +2024/01/17 12:40:38 - mmengine - INFO - Epoch(train) [28][2400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:01:16 time: 0.7913 data_time: 0.0323 memory: 9316 loss: 0.4971 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0214 loss_cls: 0.1118 acc: 99.4141 loss_bbox: 0.1760 loss_mask: 0.1752 +2024/01/17 12:41:18 - mmengine - INFO - Epoch(train) [28][2450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 14:00:37 time: 0.8091 data_time: 0.0323 memory: 10179 loss: 0.5076 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0263 loss_cls: 0.1265 acc: 95.7031 loss_bbox: 0.1735 loss_mask: 0.1673 +2024/01/17 12:41:58 - mmengine - INFO - Epoch(train) [28][2500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:59:57 time: 0.7988 data_time: 0.0373 memory: 10320 loss: 0.5229 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0267 loss_cls: 0.1190 acc: 93.9453 loss_bbox: 0.1819 loss_mask: 0.1821 +2024/01/17 12:42:38 - mmengine - INFO - Epoch(train) [28][2550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:59:18 time: 0.8087 data_time: 0.0296 memory: 10299 loss: 0.4456 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0182 loss_cls: 0.1024 acc: 92.1875 loss_bbox: 0.1396 loss_mask: 0.1682 +2024/01/17 12:43:19 - mmengine - INFO - Epoch(train) [28][2600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:58:38 time: 0.8040 data_time: 0.0289 memory: 11102 loss: 0.4949 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0246 loss_cls: 0.1181 acc: 94.3359 loss_bbox: 0.1654 loss_mask: 0.1756 +2024/01/17 12:43:58 - mmengine - INFO - Epoch(train) [28][2650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:57:58 time: 0.7902 data_time: 0.0314 memory: 10361 loss: 0.5703 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0314 loss_cls: 0.1402 acc: 97.0703 loss_bbox: 0.1892 loss_mask: 0.1890 +2024/01/17 12:44:37 - mmengine - INFO - Epoch(train) [28][2700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:57:18 time: 0.7752 data_time: 0.0394 memory: 10278 loss: 0.5972 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0301 loss_cls: 0.1549 acc: 88.6719 loss_bbox: 0.2139 loss_mask: 0.1817 +2024/01/17 12:45:17 - mmengine - INFO - Epoch(train) [28][2750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:56:39 time: 0.7924 data_time: 0.0389 memory: 11022 loss: 0.5580 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0244 loss_cls: 0.1362 acc: 95.8984 loss_bbox: 0.1877 loss_mask: 0.1966 +2024/01/17 12:45:56 - mmengine - INFO - Epoch(train) [28][2800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:55:59 time: 0.7887 data_time: 0.0338 memory: 10067 loss: 0.5610 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0295 loss_cls: 0.1484 acc: 90.2344 loss_bbox: 0.1875 loss_mask: 0.1792 +2024/01/17 12:46:35 - mmengine - INFO - Epoch(train) [28][2850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:55:19 time: 0.7853 data_time: 0.0314 memory: 11102 loss: 0.4913 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0265 loss_cls: 0.1147 acc: 96.2891 loss_bbox: 0.1684 loss_mask: 0.1707 +2024/01/17 12:47:15 - mmengine - INFO - Epoch(train) [28][2900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:54:39 time: 0.7871 data_time: 0.0352 memory: 10278 loss: 0.5289 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0299 loss_cls: 0.1354 acc: 99.0234 loss_bbox: 0.1768 loss_mask: 0.1691 +2024/01/17 12:47:54 - mmengine - INFO - Epoch(train) [28][2950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:54:00 time: 0.7902 data_time: 0.0349 memory: 9910 loss: 0.4943 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0210 loss_cls: 0.1278 acc: 99.4141 loss_bbox: 0.1593 loss_mask: 0.1629 +2024/01/17 12:48:35 - mmengine - INFO - Epoch(train) [28][3000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:53:20 time: 0.8054 data_time: 0.0300 memory: 10067 loss: 0.4903 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0255 loss_cls: 0.1184 acc: 98.4375 loss_bbox: 0.1692 loss_mask: 0.1656 +2024/01/17 12:49:15 - mmengine - INFO - Epoch(train) [28][3050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:52:40 time: 0.7960 data_time: 0.0325 memory: 9163 loss: 0.4855 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0246 loss_cls: 0.1184 acc: 94.9219 loss_bbox: 0.1498 loss_mask: 0.1742 +2024/01/17 12:49:47 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 12:49:55 - mmengine - INFO - Epoch(train) [28][3100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:52:01 time: 0.8099 data_time: 0.0333 memory: 10067 loss: 0.5384 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0241 loss_cls: 0.1327 acc: 94.5312 loss_bbox: 0.1819 loss_mask: 0.1838 +2024/01/17 12:50:35 - mmengine - INFO - Epoch(train) [28][3150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:51:21 time: 0.8011 data_time: 0.0329 memory: 10572 loss: 0.5630 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0225 loss_cls: 0.1437 acc: 99.8047 loss_bbox: 0.1901 loss_mask: 0.1941 +2024/01/17 12:51:15 - mmengine - INFO - Epoch(train) [28][3200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:50:42 time: 0.8033 data_time: 0.0338 memory: 10780 loss: 0.5797 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0206 loss_cls: 0.1454 acc: 98.8281 loss_bbox: 0.2105 loss_mask: 0.1891 +2024/01/17 12:51:56 - mmengine - INFO - Epoch(train) [28][3250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:50:02 time: 0.8112 data_time: 0.0316 memory: 10572 loss: 0.4801 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0264 loss_cls: 0.1216 acc: 96.2891 loss_bbox: 0.1615 loss_mask: 0.1560 +2024/01/17 12:52:36 - mmengine - INFO - Epoch(train) [28][3300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:49:23 time: 0.8017 data_time: 0.0329 memory: 10914 loss: 0.5569 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0284 loss_cls: 0.1417 acc: 88.2812 loss_bbox: 0.1864 loss_mask: 0.1818 +2024/01/17 12:53:17 - mmengine - INFO - Epoch(train) [28][3350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:48:43 time: 0.8103 data_time: 0.0359 memory: 10067 loss: 0.6226 loss_rpn_cls: 0.0266 loss_rpn_bbox: 0.0420 loss_cls: 0.1524 acc: 98.6328 loss_bbox: 0.2117 loss_mask: 0.1898 +2024/01/17 12:53:57 - mmengine - INFO - Epoch(train) [28][3400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:48:04 time: 0.8135 data_time: 0.0411 memory: 11102 loss: 0.6423 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0417 loss_cls: 0.1608 acc: 94.7266 loss_bbox: 0.2154 loss_mask: 0.2059 +2024/01/17 12:54:37 - mmengine - INFO - Epoch(train) [28][3450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:47:24 time: 0.7936 data_time: 0.0388 memory: 10572 loss: 0.5750 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0287 loss_cls: 0.1488 acc: 97.8516 loss_bbox: 0.1967 loss_mask: 0.1853 +2024/01/17 12:55:17 - mmengine - INFO - Epoch(train) [28][3500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:46:45 time: 0.8000 data_time: 0.0347 memory: 10787 loss: 0.5611 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0293 loss_cls: 0.1374 acc: 91.6016 loss_bbox: 0.1776 loss_mask: 0.1970 +2024/01/17 12:55:57 - mmengine - INFO - Epoch(train) [28][3550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:46:05 time: 0.8018 data_time: 0.0331 memory: 10416 loss: 0.5578 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0342 loss_cls: 0.1405 acc: 90.4297 loss_bbox: 0.1846 loss_mask: 0.1799 +2024/01/17 12:56:38 - mmengine - INFO - Epoch(train) [28][3600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:45:26 time: 0.8084 data_time: 0.0343 memory: 10572 loss: 0.5139 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0277 loss_cls: 0.1200 acc: 97.4609 loss_bbox: 0.1748 loss_mask: 0.1740 +2024/01/17 12:57:17 - mmengine - INFO - Epoch(train) [28][3650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:44:46 time: 0.7872 data_time: 0.0276 memory: 10067 loss: 0.4740 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0250 loss_cls: 0.1063 acc: 97.8516 loss_bbox: 0.1652 loss_mask: 0.1679 +2024/01/17 12:57:57 - mmengine - INFO - Epoch(train) [28][3700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:44:06 time: 0.7997 data_time: 0.0298 memory: 9737 loss: 0.4996 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0248 loss_cls: 0.1112 acc: 95.7031 loss_bbox: 0.1710 loss_mask: 0.1740 +2024/01/17 12:58:38 - mmengine - INFO - Epoch(train) [28][3750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:43:27 time: 0.8146 data_time: 0.0356 memory: 10572 loss: 0.5688 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0280 loss_cls: 0.1424 acc: 95.8984 loss_bbox: 0.1996 loss_mask: 0.1815 +2024/01/17 12:59:18 - mmengine - INFO - Epoch(train) [28][3800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:42:47 time: 0.8010 data_time: 0.0318 memory: 9640 loss: 0.5017 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0234 loss_cls: 0.1202 acc: 99.4141 loss_bbox: 0.1641 loss_mask: 0.1804 +2024/01/17 12:59:58 - mmengine - INFO - Epoch(train) [28][3850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:42:07 time: 0.7986 data_time: 0.0363 memory: 10572 loss: 0.6400 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0271 loss_cls: 0.1619 acc: 93.7500 loss_bbox: 0.2160 loss_mask: 0.2181 +2024/01/17 13:00:38 - mmengine - INFO - Epoch(train) [28][3900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:41:28 time: 0.7947 data_time: 0.0333 memory: 10179 loss: 0.5742 loss_rpn_cls: 0.0258 loss_rpn_bbox: 0.0334 loss_cls: 0.1356 acc: 99.0234 loss_bbox: 0.1833 loss_mask: 0.1960 +2024/01/17 13:01:19 - mmengine - INFO - Epoch(train) [28][3950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:40:48 time: 0.8211 data_time: 0.0358 memory: 10803 loss: 0.6431 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0361 loss_cls: 0.1622 acc: 99.6094 loss_bbox: 0.2184 loss_mask: 0.2078 +2024/01/17 13:01:59 - mmengine - INFO - Epoch(train) [28][4000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:40:09 time: 0.8035 data_time: 0.0327 memory: 9882 loss: 0.5629 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0288 loss_cls: 0.1268 acc: 88.8672 loss_bbox: 0.1986 loss_mask: 0.1939 +2024/01/17 13:02:39 - mmengine - INFO - Epoch(train) [28][4050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:39:29 time: 0.8032 data_time: 0.0346 memory: 9847 loss: 0.5735 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0312 loss_cls: 0.1534 acc: 98.8281 loss_bbox: 0.1938 loss_mask: 0.1752 +2024/01/17 13:03:11 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 13:03:19 - mmengine - INFO - Epoch(train) [28][4100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:38:50 time: 0.8031 data_time: 0.0346 memory: 10700 loss: 0.5942 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0280 loss_cls: 0.1578 acc: 99.8047 loss_bbox: 0.2007 loss_mask: 0.1913 +2024/01/17 13:03:58 - mmengine - INFO - Epoch(train) [28][4150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:38:10 time: 0.7753 data_time: 0.0415 memory: 9328 loss: 0.5689 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0258 loss_cls: 0.1417 acc: 99.2188 loss_bbox: 0.2006 loss_mask: 0.1854 +2024/01/17 13:04:37 - mmengine - INFO - Epoch(train) [28][4200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:37:30 time: 0.7854 data_time: 0.0402 memory: 11023 loss: 0.5834 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0386 loss_cls: 0.1420 acc: 88.2812 loss_bbox: 0.1913 loss_mask: 0.1915 +2024/01/17 13:05:18 - mmengine - INFO - Epoch(train) [28][4250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:36:50 time: 0.8085 data_time: 0.0395 memory: 11099 loss: 0.5822 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0299 loss_cls: 0.1441 acc: 89.8438 loss_bbox: 0.2035 loss_mask: 0.1865 +2024/01/17 13:05:58 - mmengine - INFO - Epoch(train) [28][4300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:36:11 time: 0.7916 data_time: 0.0351 memory: 9978 loss: 0.5508 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0294 loss_cls: 0.1353 acc: 99.2188 loss_bbox: 0.1925 loss_mask: 0.1763 +2024/01/17 13:06:37 - mmengine - INFO - Epoch(train) [28][4350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:35:31 time: 0.7921 data_time: 0.0361 memory: 10583 loss: 0.5243 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0291 loss_cls: 0.1271 acc: 98.0469 loss_bbox: 0.1777 loss_mask: 0.1720 +2024/01/17 13:07:17 - mmengine - INFO - Epoch(train) [28][4400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:34:51 time: 0.7910 data_time: 0.0365 memory: 10572 loss: 0.6309 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0346 loss_cls: 0.1587 acc: 96.6797 loss_bbox: 0.2270 loss_mask: 0.1881 +2024/01/17 13:07:56 - mmengine - INFO - Epoch(train) [28][4450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:34:12 time: 0.7927 data_time: 0.0390 memory: 9905 loss: 0.5896 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0299 loss_cls: 0.1380 acc: 89.8438 loss_bbox: 0.2019 loss_mask: 0.1990 +2024/01/17 13:08:36 - mmengine - INFO - Epoch(train) [28][4500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:33:32 time: 0.7989 data_time: 0.0406 memory: 10568 loss: 0.5830 loss_rpn_cls: 0.0206 loss_rpn_bbox: 0.0295 loss_cls: 0.1478 acc: 97.8516 loss_bbox: 0.1914 loss_mask: 0.1937 +2024/01/17 13:09:17 - mmengine - INFO - Epoch(train) [28][4550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:32:52 time: 0.8018 data_time: 0.0380 memory: 10387 loss: 0.4836 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0333 loss_cls: 0.1157 acc: 97.4609 loss_bbox: 0.1543 loss_mask: 0.1653 +2024/01/17 13:09:57 - mmengine - INFO - Epoch(train) [28][4600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:32:13 time: 0.8057 data_time: 0.0338 memory: 10619 loss: 0.6198 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0345 loss_cls: 0.1639 acc: 99.4141 loss_bbox: 0.2062 loss_mask: 0.1947 +2024/01/17 13:10:36 - mmengine - INFO - Epoch(train) [28][4650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:31:33 time: 0.7925 data_time: 0.0301 memory: 10572 loss: 0.4833 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0212 loss_cls: 0.1168 acc: 100.0000 loss_bbox: 0.1636 loss_mask: 0.1694 +2024/01/17 13:11:16 - mmengine - INFO - Epoch(train) [28][4700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:30:53 time: 0.7953 data_time: 0.0373 memory: 11321 loss: 0.5860 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0345 loss_cls: 0.1450 acc: 97.6562 loss_bbox: 0.2010 loss_mask: 0.1907 +2024/01/17 13:11:56 - mmengine - INFO - Epoch(train) [28][4750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:30:14 time: 0.7890 data_time: 0.0360 memory: 10572 loss: 0.5583 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0303 loss_cls: 0.1323 acc: 100.0000 loss_bbox: 0.1806 loss_mask: 0.1985 +2024/01/17 13:12:37 - mmengine - INFO - Epoch(train) [28][4800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:29:34 time: 0.8167 data_time: 0.0345 memory: 9947 loss: 0.5171 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0249 loss_cls: 0.1256 acc: 97.6562 loss_bbox: 0.1659 loss_mask: 0.1855 +2024/01/17 13:13:17 - mmengine - INFO - Epoch(train) [28][4850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:28:55 time: 0.7984 data_time: 0.0283 memory: 10287 loss: 0.5050 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0248 loss_cls: 0.1277 acc: 95.1172 loss_bbox: 0.1714 loss_mask: 0.1666 +2024/01/17 13:13:57 - mmengine - INFO - Epoch(train) [28][4900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:28:15 time: 0.7977 data_time: 0.0316 memory: 10715 loss: 0.5553 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0230 loss_cls: 0.1319 acc: 95.3125 loss_bbox: 0.1890 loss_mask: 0.1986 +2024/01/17 13:14:37 - mmengine - INFO - Epoch(train) [28][4950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:27:35 time: 0.8057 data_time: 0.0297 memory: 9949 loss: 0.5834 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0294 loss_cls: 0.1469 acc: 87.1094 loss_bbox: 0.2100 loss_mask: 0.1813 +2024/01/17 13:15:17 - mmengine - INFO - Epoch(train) [28][5000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:26:56 time: 0.8064 data_time: 0.0338 memory: 10572 loss: 0.5526 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0251 loss_cls: 0.1367 acc: 98.8281 loss_bbox: 0.1921 loss_mask: 0.1840 +2024/01/17 13:15:57 - mmengine - INFO - Epoch(train) [28][5050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:26:16 time: 0.7965 data_time: 0.0332 memory: 10572 loss: 0.4917 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0234 loss_cls: 0.1294 acc: 89.0625 loss_bbox: 0.1567 loss_mask: 0.1683 +2024/01/17 13:16:30 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 13:16:37 - mmengine - INFO - Epoch(train) [28][5100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:25:37 time: 0.8080 data_time: 0.0352 memory: 10063 loss: 0.5064 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0221 loss_cls: 0.1294 acc: 95.8984 loss_bbox: 0.1632 loss_mask: 0.1767 +2024/01/17 13:17:18 - mmengine - INFO - Epoch(train) [28][5150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:24:57 time: 0.8150 data_time: 0.0354 memory: 10067 loss: 0.5910 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0297 loss_cls: 0.1416 acc: 90.8203 loss_bbox: 0.2057 loss_mask: 0.1932 +2024/01/17 13:17:58 - mmengine - INFO - Epoch(train) [28][5200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:24:18 time: 0.7922 data_time: 0.0264 memory: 9472 loss: 0.4095 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0173 loss_cls: 0.1010 acc: 100.0000 loss_bbox: 0.1321 loss_mask: 0.1484 +2024/01/17 13:18:38 - mmengine - INFO - Epoch(train) [28][5250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:23:38 time: 0.7969 data_time: 0.0381 memory: 10796 loss: 0.5403 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0309 loss_cls: 0.1354 acc: 89.4531 loss_bbox: 0.1840 loss_mask: 0.1713 +2024/01/17 13:19:18 - mmengine - INFO - Epoch(train) [28][5300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:22:58 time: 0.8036 data_time: 0.0291 memory: 10100 loss: 0.4497 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0232 loss_cls: 0.1152 acc: 98.6328 loss_bbox: 0.1434 loss_mask: 0.1547 +2024/01/17 13:19:58 - mmengine - INFO - Epoch(train) [28][5350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:22:19 time: 0.8023 data_time: 0.0355 memory: 9180 loss: 0.5901 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0240 loss_cls: 0.1414 acc: 83.7891 loss_bbox: 0.2062 loss_mask: 0.1999 +2024/01/17 13:20:38 - mmengine - INFO - Epoch(train) [28][5400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:21:39 time: 0.7994 data_time: 0.0264 memory: 10067 loss: 0.4917 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0256 loss_cls: 0.1142 acc: 89.6484 loss_bbox: 0.1656 loss_mask: 0.1634 +2024/01/17 13:21:18 - mmengine - INFO - Epoch(train) [28][5450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:20:59 time: 0.7944 data_time: 0.0403 memory: 9850 loss: 0.5658 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0289 loss_cls: 0.1502 acc: 99.4141 loss_bbox: 0.1939 loss_mask: 0.1794 +2024/01/17 13:21:58 - mmengine - INFO - Epoch(train) [28][5500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:20:20 time: 0.8075 data_time: 0.0348 memory: 9466 loss: 0.5388 loss_rpn_cls: 0.0215 loss_rpn_bbox: 0.0274 loss_cls: 0.1299 acc: 91.0156 loss_bbox: 0.1771 loss_mask: 0.1829 +2024/01/17 13:22:38 - mmengine - INFO - Epoch(train) [28][5550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:19:40 time: 0.7976 data_time: 0.0309 memory: 10308 loss: 0.4732 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0223 loss_cls: 0.1079 acc: 95.3125 loss_bbox: 0.1572 loss_mask: 0.1756 +2024/01/17 13:23:19 - mmengine - INFO - Epoch(train) [28][5600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:19:01 time: 0.8070 data_time: 0.0331 memory: 10582 loss: 0.5850 loss_rpn_cls: 0.0269 loss_rpn_bbox: 0.0337 loss_cls: 0.1442 acc: 99.2188 loss_bbox: 0.1831 loss_mask: 0.1971 +2024/01/17 13:23:59 - mmengine - INFO - Epoch(train) [28][5650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:18:21 time: 0.8057 data_time: 0.0314 memory: 11099 loss: 0.5686 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0274 loss_cls: 0.1490 acc: 92.5781 loss_bbox: 0.1954 loss_mask: 0.1775 +2024/01/17 13:24:39 - mmengine - INFO - Epoch(train) [28][5700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:17:42 time: 0.8020 data_time: 0.0366 memory: 9601 loss: 0.5744 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0288 loss_cls: 0.1292 acc: 99.8047 loss_bbox: 0.1995 loss_mask: 0.1992 +2024/01/17 13:25:20 - mmengine - INFO - Epoch(train) [28][5750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:17:02 time: 0.8105 data_time: 0.0303 memory: 9835 loss: 0.5139 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0237 loss_cls: 0.1375 acc: 94.5312 loss_bbox: 0.1741 loss_mask: 0.1643 +2024/01/17 13:25:59 - mmengine - INFO - Epoch(train) [28][5800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:16:22 time: 0.7877 data_time: 0.0355 memory: 9882 loss: 0.6239 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0323 loss_cls: 0.1583 acc: 97.2656 loss_bbox: 0.2172 loss_mask: 0.1947 +2024/01/17 13:26:39 - mmengine - INFO - Epoch(train) [28][5850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:15:43 time: 0.8080 data_time: 0.0380 memory: 9701 loss: 0.5114 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0202 loss_cls: 0.1267 acc: 98.8281 loss_bbox: 0.1827 loss_mask: 0.1679 +2024/01/17 13:27:20 - mmengine - INFO - Epoch(train) [28][5900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:15:03 time: 0.8068 data_time: 0.0302 memory: 10572 loss: 0.4871 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0204 loss_cls: 0.1132 acc: 88.0859 loss_bbox: 0.1721 loss_mask: 0.1703 +2024/01/17 13:28:00 - mmengine - INFO - Epoch(train) [28][5950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:14:24 time: 0.7959 data_time: 0.0351 memory: 10572 loss: 0.5834 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0315 loss_cls: 0.1517 acc: 96.8750 loss_bbox: 0.1941 loss_mask: 0.1900 +2024/01/17 13:28:39 - mmengine - INFO - Epoch(train) [28][6000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:13:44 time: 0.7813 data_time: 0.0378 memory: 10067 loss: 0.5464 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0305 loss_cls: 0.1288 acc: 94.9219 loss_bbox: 0.1938 loss_mask: 0.1821 +2024/01/17 13:29:19 - mmengine - INFO - Epoch(train) [28][6050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:13:04 time: 0.7974 data_time: 0.0362 memory: 10446 loss: 0.6183 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0243 loss_cls: 0.1578 acc: 95.8984 loss_bbox: 0.2137 loss_mask: 0.2081 +2024/01/17 13:29:50 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 13:29:58 - mmengine - INFO - Epoch(train) [28][6100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:12:24 time: 0.7782 data_time: 0.0331 memory: 9665 loss: 0.4835 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0300 loss_cls: 0.1213 acc: 99.0234 loss_bbox: 0.1576 loss_mask: 0.1526 +2024/01/17 13:30:37 - mmengine - INFO - Epoch(train) [28][6150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:11:44 time: 0.7943 data_time: 0.0337 memory: 10404 loss: 0.5468 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0334 loss_cls: 0.1350 acc: 99.2188 loss_bbox: 0.1851 loss_mask: 0.1811 +2024/01/17 13:31:16 - mmengine - INFO - Epoch(train) [28][6200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:11:05 time: 0.7765 data_time: 0.0300 memory: 9874 loss: 0.5577 loss_rpn_cls: 0.0227 loss_rpn_bbox: 0.0318 loss_cls: 0.1344 acc: 91.6016 loss_bbox: 0.1870 loss_mask: 0.1819 +2024/01/17 13:31:56 - mmengine - INFO - Epoch(train) [28][6250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:10:25 time: 0.7906 data_time: 0.0298 memory: 9526 loss: 0.5157 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0258 loss_cls: 0.1233 acc: 83.3984 loss_bbox: 0.1794 loss_mask: 0.1739 +2024/01/17 13:32:36 - mmengine - INFO - Epoch(train) [28][6300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:09:45 time: 0.8029 data_time: 0.0356 memory: 10583 loss: 0.5327 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0319 loss_cls: 0.1371 acc: 97.8516 loss_bbox: 0.1764 loss_mask: 0.1705 +2024/01/17 13:33:16 - mmengine - INFO - Epoch(train) [28][6350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:09:05 time: 0.7955 data_time: 0.0332 memory: 9902 loss: 0.4843 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0234 loss_cls: 0.1173 acc: 99.2188 loss_bbox: 0.1594 loss_mask: 0.1716 +2024/01/17 13:33:55 - mmengine - INFO - Epoch(train) [28][6400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:08:26 time: 0.7875 data_time: 0.0359 memory: 10788 loss: 0.5110 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0197 loss_cls: 0.1318 acc: 94.5312 loss_bbox: 0.1698 loss_mask: 0.1728 +2024/01/17 13:34:35 - mmengine - INFO - Epoch(train) [28][6450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:07:46 time: 0.8027 data_time: 0.0334 memory: 10572 loss: 0.5717 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0303 loss_cls: 0.1580 acc: 77.5391 loss_bbox: 0.1865 loss_mask: 0.1778 +2024/01/17 13:35:15 - mmengine - INFO - Epoch(train) [28][6500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:07:07 time: 0.8018 data_time: 0.0340 memory: 10788 loss: 0.5810 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0279 loss_cls: 0.1485 acc: 90.4297 loss_bbox: 0.1960 loss_mask: 0.1937 +2024/01/17 13:35:56 - mmengine - INFO - Epoch(train) [28][6550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:06:27 time: 0.8002 data_time: 0.0324 memory: 10872 loss: 0.5232 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0220 loss_cls: 0.1235 acc: 96.6797 loss_bbox: 0.1845 loss_mask: 0.1782 +2024/01/17 13:36:35 - mmengine - INFO - Epoch(train) [28][6600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:05:47 time: 0.7931 data_time: 0.0398 memory: 9606 loss: 0.5486 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0285 loss_cls: 0.1368 acc: 89.8438 loss_bbox: 0.1957 loss_mask: 0.1714 +2024/01/17 13:37:15 - mmengine - INFO - Epoch(train) [28][6650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:05:08 time: 0.7996 data_time: 0.0379 memory: 10067 loss: 0.6540 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0383 loss_cls: 0.1702 acc: 99.4141 loss_bbox: 0.2179 loss_mask: 0.2126 +2024/01/17 13:37:55 - mmengine - INFO - Epoch(train) [28][6700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:04:28 time: 0.7955 data_time: 0.0297 memory: 10430 loss: 0.4707 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0228 loss_cls: 0.1182 acc: 96.8750 loss_bbox: 0.1512 loss_mask: 0.1659 +2024/01/17 13:38:35 - mmengine - INFO - Epoch(train) [28][6750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:03:48 time: 0.8011 data_time: 0.0367 memory: 9263 loss: 0.5684 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0330 loss_cls: 0.1428 acc: 90.6250 loss_bbox: 0.1984 loss_mask: 0.1710 +2024/01/17 13:39:15 - mmengine - INFO - Epoch(train) [28][6800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:03:09 time: 0.8026 data_time: 0.0362 memory: 10572 loss: 0.5628 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0310 loss_cls: 0.1360 acc: 100.0000 loss_bbox: 0.1889 loss_mask: 0.1922 +2024/01/17 13:39:55 - mmengine - INFO - Epoch(train) [28][6850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:02:29 time: 0.7917 data_time: 0.0297 memory: 9696 loss: 0.5064 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0253 loss_cls: 0.1241 acc: 92.1875 loss_bbox: 0.1698 loss_mask: 0.1712 +2024/01/17 13:40:34 - mmengine - INFO - Epoch(train) [28][6900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:01:49 time: 0.7824 data_time: 0.0314 memory: 10404 loss: 0.4590 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0202 loss_cls: 0.1063 acc: 97.0703 loss_bbox: 0.1626 loss_mask: 0.1579 +2024/01/17 13:41:14 - mmengine - INFO - Epoch(train) [28][6950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:01:09 time: 0.7909 data_time: 0.0299 memory: 10572 loss: 0.5224 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0251 loss_cls: 0.1331 acc: 94.1406 loss_bbox: 0.1694 loss_mask: 0.1771 +2024/01/17 13:41:53 - mmengine - INFO - Epoch(train) [28][7000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 13:00:30 time: 0.7894 data_time: 0.0387 memory: 9420 loss: 0.5762 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0289 loss_cls: 0.1325 acc: 89.2578 loss_bbox: 0.2144 loss_mask: 0.1874 +2024/01/17 13:42:34 - mmengine - INFO - Epoch(train) [28][7050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:59:50 time: 0.8185 data_time: 0.0289 memory: 11102 loss: 0.4928 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0203 loss_cls: 0.1149 acc: 97.8516 loss_bbox: 0.1559 loss_mask: 0.1785 +2024/01/17 13:43:06 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 13:43:14 - mmengine - INFO - Epoch(train) [28][7100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:59:11 time: 0.8062 data_time: 0.0283 memory: 10155 loss: 0.5285 loss_rpn_cls: 0.0211 loss_rpn_bbox: 0.0268 loss_cls: 0.1270 acc: 87.8906 loss_bbox: 0.1807 loss_mask: 0.1729 +2024/01/17 13:43:54 - mmengine - INFO - Epoch(train) [28][7150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:58:31 time: 0.7965 data_time: 0.0309 memory: 10859 loss: 0.4557 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0194 loss_cls: 0.1050 acc: 97.0703 loss_bbox: 0.1588 loss_mask: 0.1637 +2024/01/17 13:44:34 - mmengine - INFO - Epoch(train) [28][7200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:57:51 time: 0.7998 data_time: 0.0330 memory: 10572 loss: 0.4999 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0291 loss_cls: 0.1205 acc: 100.0000 loss_bbox: 0.1742 loss_mask: 0.1621 +2024/01/17 13:45:14 - mmengine - INFO - Epoch(train) [28][7250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:57:12 time: 0.7939 data_time: 0.0316 memory: 9601 loss: 0.5268 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0242 loss_cls: 0.1260 acc: 100.0000 loss_bbox: 0.1851 loss_mask: 0.1791 +2024/01/17 13:45:55 - mmengine - INFO - Epoch(train) [28][7300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:56:32 time: 0.8107 data_time: 0.0359 memory: 11102 loss: 0.5889 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0327 loss_cls: 0.1391 acc: 99.6094 loss_bbox: 0.2047 loss_mask: 0.1938 +2024/01/17 13:46:19 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 13:46:19 - mmengine - INFO - Saving checkpoint at 28 epochs +2024/01/17 13:46:34 - mmengine - INFO - Epoch(val) [28][ 50/313] eta: 0:00:59 time: 0.2245 data_time: 0.0655 memory: 9120 +2024/01/17 13:46:43 - mmengine - INFO - Epoch(val) [28][100/313] eta: 0:00:43 time: 0.1867 data_time: 0.0278 memory: 2388 +2024/01/17 13:46:53 - mmengine - INFO - Epoch(val) [28][150/313] eta: 0:00:33 time: 0.2066 data_time: 0.0517 memory: 2431 +2024/01/17 13:47:04 - mmengine - INFO - Epoch(val) [28][200/313] eta: 0:00:23 time: 0.2170 data_time: 0.0573 memory: 2403 +2024/01/17 13:47:13 - mmengine - INFO - Epoch(val) [28][250/313] eta: 0:00:12 time: 0.1806 data_time: 0.0265 memory: 2431 +2024/01/17 13:47:23 - mmengine - INFO - Epoch(val) [28][300/313] eta: 0:00:02 time: 0.1867 data_time: 0.0285 memory: 2403 +2024/01/17 13:47:30 - mmengine - INFO - Evaluating bbox... +2024/01/17 13:47:51 - mmengine - INFO - bbox_mAP_copypaste: 0.493 0.703 0.538 0.334 0.528 0.655 +2024/01/17 13:47:51 - mmengine - INFO - Evaluating segm... +2024/01/17 13:48:16 - mmengine - INFO - segm_mAP_copypaste: 0.437 0.674 0.470 0.241 0.468 0.632 +2024/01/17 13:48:16 - mmengine - INFO - Epoch(val) [28][313/313] coco/bbox_mAP: 0.4930 coco/bbox_mAP_50: 0.7030 coco/bbox_mAP_75: 0.5380 coco/bbox_mAP_s: 0.3340 coco/bbox_mAP_m: 0.5280 coco/bbox_mAP_l: 0.6550 coco/segm_mAP: 0.4370 coco/segm_mAP_50: 0.6740 coco/segm_mAP_75: 0.4700 coco/segm_mAP_s: 0.2410 coco/segm_mAP_m: 0.4680 coco/segm_mAP_l: 0.6320 data_time: 0.0412 time: 0.1984 +2024/01/17 13:48:57 - mmengine - INFO - Epoch(train) [29][ 50/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:55:29 time: 0.8128 data_time: 0.0464 memory: 10572 loss: 0.6326 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0335 loss_cls: 0.1615 acc: 99.6094 loss_bbox: 0.2193 loss_mask: 0.1980 +2024/01/17 13:49:38 - mmengine - INFO - Epoch(train) [29][ 100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:54:49 time: 0.8120 data_time: 0.0337 memory: 11102 loss: 0.5160 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0288 loss_cls: 0.1270 acc: 96.4844 loss_bbox: 0.1680 loss_mask: 0.1693 +2024/01/17 13:50:18 - mmengine - INFO - Epoch(train) [29][ 150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:54:10 time: 0.8082 data_time: 0.0345 memory: 9597 loss: 0.5485 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0300 loss_cls: 0.1319 acc: 98.8281 loss_bbox: 0.1848 loss_mask: 0.1867 +2024/01/17 13:50:58 - mmengine - INFO - Epoch(train) [29][ 200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:53:30 time: 0.8093 data_time: 0.0368 memory: 10067 loss: 0.6215 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0390 loss_cls: 0.1601 acc: 91.2109 loss_bbox: 0.2175 loss_mask: 0.1851 +2024/01/17 13:51:38 - mmengine - INFO - Epoch(train) [29][ 250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:52:51 time: 0.7923 data_time: 0.0315 memory: 9570 loss: 0.4775 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0228 loss_cls: 0.1120 acc: 94.9219 loss_bbox: 0.1548 loss_mask: 0.1762 +2024/01/17 13:52:18 - mmengine - INFO - Epoch(train) [29][ 300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:52:11 time: 0.7900 data_time: 0.0308 memory: 10572 loss: 0.5031 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0234 loss_cls: 0.1248 acc: 87.5000 loss_bbox: 0.1643 loss_mask: 0.1785 +2024/01/17 13:52:57 - mmengine - INFO - Epoch(train) [29][ 350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:51:31 time: 0.7901 data_time: 0.0330 memory: 10265 loss: 0.4773 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0244 loss_cls: 0.1120 acc: 96.4844 loss_bbox: 0.1559 loss_mask: 0.1687 +2024/01/17 13:53:38 - mmengine - INFO - Epoch(train) [29][ 400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:50:52 time: 0.8083 data_time: 0.0318 memory: 10067 loss: 0.4840 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0209 loss_cls: 0.1175 acc: 96.2891 loss_bbox: 0.1689 loss_mask: 0.1666 +2024/01/17 13:54:18 - mmengine - INFO - Epoch(train) [29][ 450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:50:12 time: 0.8060 data_time: 0.0356 memory: 9120 loss: 0.5697 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0354 loss_cls: 0.1415 acc: 99.2188 loss_bbox: 0.2008 loss_mask: 0.1709 +2024/01/17 13:54:57 - mmengine - INFO - Epoch(train) [29][ 500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:49:32 time: 0.7847 data_time: 0.0323 memory: 10572 loss: 0.5496 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0252 loss_cls: 0.1320 acc: 90.4297 loss_bbox: 0.1883 loss_mask: 0.1870 +2024/01/17 13:55:37 - mmengine - INFO - Epoch(train) [29][ 550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:48:53 time: 0.7933 data_time: 0.0340 memory: 10311 loss: 0.5437 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0269 loss_cls: 0.1191 acc: 92.7734 loss_bbox: 0.1885 loss_mask: 0.1929 +2024/01/17 13:56:17 - mmengine - INFO - Epoch(train) [29][ 600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:48:13 time: 0.8043 data_time: 0.0280 memory: 10572 loss: 0.5053 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0241 loss_cls: 0.1247 acc: 94.3359 loss_bbox: 0.1675 loss_mask: 0.1732 +2024/01/17 13:56:58 - mmengine - INFO - Epoch(train) [29][ 650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:47:33 time: 0.8083 data_time: 0.0327 memory: 10067 loss: 0.4912 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0234 loss_cls: 0.1222 acc: 99.0234 loss_bbox: 0.1660 loss_mask: 0.1688 +2024/01/17 13:57:38 - mmengine - INFO - Epoch(train) [29][ 700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:46:54 time: 0.7974 data_time: 0.0296 memory: 9949 loss: 0.4890 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0209 loss_cls: 0.1123 acc: 87.5000 loss_bbox: 0.1699 loss_mask: 0.1714 +2024/01/17 13:58:18 - mmengine - INFO - Epoch(train) [29][ 750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:46:14 time: 0.8044 data_time: 0.0295 memory: 10572 loss: 0.5188 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0293 loss_cls: 0.1252 acc: 95.3125 loss_bbox: 0.1703 loss_mask: 0.1789 +2024/01/17 13:58:26 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 13:58:57 - mmengine - INFO - Epoch(train) [29][ 800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:45:35 time: 0.7913 data_time: 0.0311 memory: 9904 loss: 0.4342 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0211 loss_cls: 0.1022 acc: 99.4141 loss_bbox: 0.1536 loss_mask: 0.1469 +2024/01/17 13:59:38 - mmengine - INFO - Epoch(train) [29][ 850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:44:55 time: 0.8069 data_time: 0.0344 memory: 10067 loss: 0.5292 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0323 loss_cls: 0.1241 acc: 90.0391 loss_bbox: 0.1736 loss_mask: 0.1807 +2024/01/17 14:00:18 - mmengine - INFO - Epoch(train) [29][ 900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:44:15 time: 0.7965 data_time: 0.0387 memory: 10572 loss: 0.5979 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0290 loss_cls: 0.1502 acc: 95.5078 loss_bbox: 0.2034 loss_mask: 0.2010 +2024/01/17 14:00:57 - mmengine - INFO - Epoch(train) [29][ 950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:43:35 time: 0.7857 data_time: 0.0324 memory: 10285 loss: 0.5380 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0259 loss_cls: 0.1215 acc: 99.8047 loss_bbox: 0.1720 loss_mask: 0.1962 +2024/01/17 14:01:37 - mmengine - INFO - Epoch(train) [29][1000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:42:56 time: 0.8061 data_time: 0.0303 memory: 10568 loss: 0.5561 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0299 loss_cls: 0.1307 acc: 88.6719 loss_bbox: 0.1964 loss_mask: 0.1848 +2024/01/17 14:02:17 - mmengine - INFO - Epoch(train) [29][1050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:42:16 time: 0.7976 data_time: 0.0355 memory: 9601 loss: 0.5224 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0249 loss_cls: 0.1240 acc: 98.8281 loss_bbox: 0.1808 loss_mask: 0.1777 +2024/01/17 14:02:57 - mmengine - INFO - Epoch(train) [29][1100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:41:37 time: 0.8040 data_time: 0.0321 memory: 9526 loss: 0.4768 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0199 loss_cls: 0.1081 acc: 97.4609 loss_bbox: 0.1605 loss_mask: 0.1789 +2024/01/17 14:03:37 - mmengine - INFO - Epoch(train) [29][1150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:40:57 time: 0.7934 data_time: 0.0354 memory: 10399 loss: 0.5404 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0302 loss_cls: 0.1356 acc: 92.7734 loss_bbox: 0.1766 loss_mask: 0.1839 +2024/01/17 14:04:18 - mmengine - INFO - Epoch(train) [29][1200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:40:17 time: 0.8096 data_time: 0.0373 memory: 9961 loss: 0.5521 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0329 loss_cls: 0.1352 acc: 82.0312 loss_bbox: 0.1898 loss_mask: 0.1784 +2024/01/17 14:04:58 - mmengine - INFO - Epoch(train) [29][1250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:39:38 time: 0.8144 data_time: 0.0353 memory: 10660 loss: 0.4860 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0188 loss_cls: 0.1147 acc: 90.8203 loss_bbox: 0.1611 loss_mask: 0.1818 +2024/01/17 14:05:38 - mmengine - INFO - Epoch(train) [29][1300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:38:58 time: 0.7928 data_time: 0.0314 memory: 10572 loss: 0.5065 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0231 loss_cls: 0.1132 acc: 95.7031 loss_bbox: 0.1679 loss_mask: 0.1897 +2024/01/17 14:06:18 - mmengine - INFO - Epoch(train) [29][1350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:38:19 time: 0.8001 data_time: 0.0367 memory: 10572 loss: 0.5042 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0299 loss_cls: 0.1146 acc: 99.8047 loss_bbox: 0.1796 loss_mask: 0.1675 +2024/01/17 14:06:58 - mmengine - INFO - Epoch(train) [29][1400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:37:39 time: 0.7961 data_time: 0.0341 memory: 9737 loss: 0.5325 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0277 loss_cls: 0.1212 acc: 96.0938 loss_bbox: 0.1910 loss_mask: 0.1803 +2024/01/17 14:07:37 - mmengine - INFO - Epoch(train) [29][1450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:36:59 time: 0.7776 data_time: 0.0364 memory: 10071 loss: 0.5655 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0258 loss_cls: 0.1422 acc: 89.8438 loss_bbox: 0.1975 loss_mask: 0.1859 +2024/01/17 14:08:17 - mmengine - INFO - Epoch(train) [29][1500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:36:19 time: 0.7957 data_time: 0.0393 memory: 10788 loss: 0.5265 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0306 loss_cls: 0.1335 acc: 99.2188 loss_bbox: 0.1811 loss_mask: 0.1641 +2024/01/17 14:08:56 - mmengine - INFO - Epoch(train) [29][1550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:35:40 time: 0.7866 data_time: 0.0377 memory: 9870 loss: 0.5775 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0312 loss_cls: 0.1492 acc: 97.0703 loss_bbox: 0.1908 loss_mask: 0.1872 +2024/01/17 14:09:36 - mmengine - INFO - Epoch(train) [29][1600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:35:00 time: 0.8000 data_time: 0.0283 memory: 10476 loss: 0.4502 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0252 loss_cls: 0.1065 acc: 92.1875 loss_bbox: 0.1402 loss_mask: 0.1666 +2024/01/17 14:10:16 - mmengine - INFO - Epoch(train) [29][1650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:34:20 time: 0.7953 data_time: 0.0341 memory: 10067 loss: 0.5616 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0389 loss_cls: 0.1329 acc: 97.4609 loss_bbox: 0.1803 loss_mask: 0.1934 +2024/01/17 14:10:56 - mmengine - INFO - Epoch(train) [29][1700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:33:41 time: 0.7934 data_time: 0.0326 memory: 9459 loss: 0.5329 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0282 loss_cls: 0.1366 acc: 99.8047 loss_bbox: 0.1771 loss_mask: 0.1710 +2024/01/17 14:11:36 - mmengine - INFO - Epoch(train) [29][1750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:33:01 time: 0.7992 data_time: 0.0405 memory: 11054 loss: 0.6118 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0399 loss_cls: 0.1574 acc: 94.3359 loss_bbox: 0.2004 loss_mask: 0.1929 +2024/01/17 14:11:44 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 14:12:16 - mmengine - INFO - Epoch(train) [29][1800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:32:21 time: 0.8095 data_time: 0.0382 memory: 10572 loss: 0.5833 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0337 loss_cls: 0.1423 acc: 98.2422 loss_bbox: 0.2065 loss_mask: 0.1835 +2024/01/17 14:12:56 - mmengine - INFO - Epoch(train) [29][1850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:31:42 time: 0.7924 data_time: 0.0348 memory: 10013 loss: 0.5521 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0332 loss_cls: 0.1415 acc: 99.6094 loss_bbox: 0.1803 loss_mask: 0.1742 +2024/01/17 14:13:36 - mmengine - INFO - Epoch(train) [29][1900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:31:02 time: 0.8101 data_time: 0.0361 memory: 10568 loss: 0.5375 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0257 loss_cls: 0.1285 acc: 98.0469 loss_bbox: 0.1873 loss_mask: 0.1822 +2024/01/17 14:14:16 - mmengine - INFO - Epoch(train) [29][1950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:30:23 time: 0.7987 data_time: 0.0373 memory: 10789 loss: 0.5550 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0342 loss_cls: 0.1376 acc: 90.8203 loss_bbox: 0.1870 loss_mask: 0.1738 +2024/01/17 14:14:56 - mmengine - INFO - Epoch(train) [29][2000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:29:43 time: 0.7901 data_time: 0.0317 memory: 10153 loss: 0.4989 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0231 loss_cls: 0.1159 acc: 89.8438 loss_bbox: 0.1775 loss_mask: 0.1734 +2024/01/17 14:15:35 - mmengine - INFO - Epoch(train) [29][2050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:29:03 time: 0.7921 data_time: 0.0299 memory: 10156 loss: 0.5365 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0228 loss_cls: 0.1255 acc: 96.8750 loss_bbox: 0.1829 loss_mask: 0.1871 +2024/01/17 14:16:15 - mmengine - INFO - Epoch(train) [29][2100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:28:23 time: 0.7929 data_time: 0.0317 memory: 9734 loss: 0.4851 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0214 loss_cls: 0.1235 acc: 96.4844 loss_bbox: 0.1627 loss_mask: 0.1680 +2024/01/17 14:16:55 - mmengine - INFO - Epoch(train) [29][2150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:27:44 time: 0.8020 data_time: 0.0368 memory: 10891 loss: 0.5265 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0256 loss_cls: 0.1297 acc: 97.6562 loss_bbox: 0.1783 loss_mask: 0.1808 +2024/01/17 14:17:35 - mmengine - INFO - Epoch(train) [29][2200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:27:04 time: 0.7856 data_time: 0.0308 memory: 9459 loss: 0.4632 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0181 loss_cls: 0.1110 acc: 100.0000 loss_bbox: 0.1519 loss_mask: 0.1691 +2024/01/17 14:18:14 - mmengine - INFO - Epoch(train) [29][2250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:26:24 time: 0.7876 data_time: 0.0363 memory: 9459 loss: 0.5300 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0283 loss_cls: 0.1285 acc: 91.9922 loss_bbox: 0.1822 loss_mask: 0.1778 +2024/01/17 14:18:54 - mmengine - INFO - Epoch(train) [29][2300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:25:45 time: 0.8073 data_time: 0.0358 memory: 10572 loss: 0.5238 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0286 loss_cls: 0.1310 acc: 84.1797 loss_bbox: 0.1771 loss_mask: 0.1715 +2024/01/17 14:19:35 - mmengine - INFO - Epoch(train) [29][2350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:25:05 time: 0.8017 data_time: 0.0366 memory: 10067 loss: 0.5991 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0390 loss_cls: 0.1393 acc: 91.0156 loss_bbox: 0.2030 loss_mask: 0.1964 +2024/01/17 14:20:15 - mmengine - INFO - Epoch(train) [29][2400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:24:25 time: 0.8137 data_time: 0.0386 memory: 11102 loss: 0.6394 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0354 loss_cls: 0.1672 acc: 99.0234 loss_bbox: 0.2261 loss_mask: 0.1926 +2024/01/17 14:20:55 - mmengine - INFO - Epoch(train) [29][2450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:23:46 time: 0.7872 data_time: 0.0353 memory: 9949 loss: 0.5123 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0281 loss_cls: 0.1248 acc: 86.9141 loss_bbox: 0.1708 loss_mask: 0.1758 +2024/01/17 14:21:36 - mmengine - INFO - Epoch(train) [29][2500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:23:06 time: 0.8187 data_time: 0.0345 memory: 10265 loss: 0.4583 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0234 loss_cls: 0.1069 acc: 99.0234 loss_bbox: 0.1542 loss_mask: 0.1640 +2024/01/17 14:22:16 - mmengine - INFO - Epoch(train) [29][2550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:22:27 time: 0.8045 data_time: 0.0398 memory: 10572 loss: 0.6762 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0366 loss_cls: 0.1749 acc: 99.4141 loss_bbox: 0.2401 loss_mask: 0.2003 +2024/01/17 14:22:56 - mmengine - INFO - Epoch(train) [29][2600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:21:47 time: 0.8032 data_time: 0.0360 memory: 9337 loss: 0.5803 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0339 loss_cls: 0.1535 acc: 91.4062 loss_bbox: 0.1937 loss_mask: 0.1800 +2024/01/17 14:23:35 - mmengine - INFO - Epoch(train) [29][2650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:21:07 time: 0.7855 data_time: 0.0354 memory: 9599 loss: 0.5218 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0249 loss_cls: 0.1311 acc: 92.9688 loss_bbox: 0.1786 loss_mask: 0.1752 +2024/01/17 14:24:15 - mmengine - INFO - Epoch(train) [29][2700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:20:27 time: 0.7859 data_time: 0.0380 memory: 9304 loss: 0.6307 loss_rpn_cls: 0.0223 loss_rpn_bbox: 0.0331 loss_cls: 0.1564 acc: 95.5078 loss_bbox: 0.2126 loss_mask: 0.2063 +2024/01/17 14:24:55 - mmengine - INFO - Epoch(train) [29][2750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:19:48 time: 0.7988 data_time: 0.0379 memory: 9684 loss: 0.5593 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0307 loss_cls: 0.1420 acc: 86.9141 loss_bbox: 0.1881 loss_mask: 0.1808 +2024/01/17 14:25:03 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 14:25:35 - mmengine - INFO - Epoch(train) [29][2800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:19:08 time: 0.8129 data_time: 0.0316 memory: 10986 loss: 0.4595 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0185 loss_cls: 0.1111 acc: 97.0703 loss_bbox: 0.1554 loss_mask: 0.1652 +2024/01/17 14:26:16 - mmengine - INFO - Epoch(train) [29][2850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:18:29 time: 0.8107 data_time: 0.0377 memory: 10231 loss: 0.5481 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0272 loss_cls: 0.1399 acc: 99.6094 loss_bbox: 0.1862 loss_mask: 0.1770 +2024/01/17 14:26:57 - mmengine - INFO - Epoch(train) [29][2900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:17:49 time: 0.8119 data_time: 0.0362 memory: 11013 loss: 0.6307 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0363 loss_cls: 0.1592 acc: 97.2656 loss_bbox: 0.2194 loss_mask: 0.1936 +2024/01/17 14:27:36 - mmengine - INFO - Epoch(train) [29][2950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:17:10 time: 0.7903 data_time: 0.0329 memory: 10572 loss: 0.5118 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0191 loss_cls: 0.1278 acc: 99.0234 loss_bbox: 0.1716 loss_mask: 0.1807 +2024/01/17 14:28:16 - mmengine - INFO - Epoch(train) [29][3000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:16:30 time: 0.7911 data_time: 0.0351 memory: 11001 loss: 0.5502 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0309 loss_cls: 0.1324 acc: 88.6719 loss_bbox: 0.1905 loss_mask: 0.1803 +2024/01/17 14:28:56 - mmengine - INFO - Epoch(train) [29][3050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:15:50 time: 0.8008 data_time: 0.0328 memory: 11309 loss: 0.4675 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0237 loss_cls: 0.1139 acc: 97.8516 loss_bbox: 0.1579 loss_mask: 0.1628 +2024/01/17 14:29:36 - mmengine - INFO - Epoch(train) [29][3100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:15:11 time: 0.7964 data_time: 0.0312 memory: 10067 loss: 0.5366 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0247 loss_cls: 0.1302 acc: 91.4062 loss_bbox: 0.1815 loss_mask: 0.1809 +2024/01/17 14:30:16 - mmengine - INFO - Epoch(train) [29][3150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:14:31 time: 0.8018 data_time: 0.0315 memory: 10516 loss: 0.5078 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0225 loss_cls: 0.1313 acc: 89.0625 loss_bbox: 0.1711 loss_mask: 0.1669 +2024/01/17 14:30:55 - mmengine - INFO - Epoch(train) [29][3200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:13:51 time: 0.7871 data_time: 0.0288 memory: 10582 loss: 0.4938 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0195 loss_cls: 0.1201 acc: 89.2578 loss_bbox: 0.1525 loss_mask: 0.1842 +2024/01/17 14:31:36 - mmengine - INFO - Epoch(train) [29][3250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:13:12 time: 0.8071 data_time: 0.0349 memory: 9947 loss: 0.4609 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0238 loss_cls: 0.1096 acc: 98.6328 loss_bbox: 0.1524 loss_mask: 0.1617 +2024/01/17 14:32:16 - mmengine - INFO - Epoch(train) [29][3300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:12:32 time: 0.7997 data_time: 0.0265 memory: 11102 loss: 0.4215 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0169 loss_cls: 0.0995 acc: 95.1172 loss_bbox: 0.1368 loss_mask: 0.1561 +2024/01/17 14:32:55 - mmengine - INFO - Epoch(train) [29][3350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:11:52 time: 0.7878 data_time: 0.0341 memory: 10067 loss: 0.5200 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0300 loss_cls: 0.1249 acc: 96.4844 loss_bbox: 0.1735 loss_mask: 0.1673 +2024/01/17 14:33:36 - mmengine - INFO - Epoch(train) [29][3400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:11:13 time: 0.8139 data_time: 0.0305 memory: 9280 loss: 0.4858 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0208 loss_cls: 0.1082 acc: 99.6094 loss_bbox: 0.1661 loss_mask: 0.1775 +2024/01/17 14:34:16 - mmengine - INFO - Epoch(train) [29][3450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:10:33 time: 0.7983 data_time: 0.0325 memory: 10361 loss: 0.4980 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0244 loss_cls: 0.1125 acc: 95.8984 loss_bbox: 0.1691 loss_mask: 0.1794 +2024/01/17 14:34:55 - mmengine - INFO - Epoch(train) [29][3500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:09:53 time: 0.7930 data_time: 0.0302 memory: 10067 loss: 0.5344 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0291 loss_cls: 0.1267 acc: 94.3359 loss_bbox: 0.1894 loss_mask: 0.1758 +2024/01/17 14:35:36 - mmengine - INFO - Epoch(train) [29][3550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:09:14 time: 0.8064 data_time: 0.0302 memory: 10583 loss: 0.4153 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0150 loss_cls: 0.0832 acc: 97.8516 loss_bbox: 0.1414 loss_mask: 0.1658 +2024/01/17 14:36:16 - mmengine - INFO - Epoch(train) [29][3600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:08:34 time: 0.8075 data_time: 0.0322 memory: 10572 loss: 0.5500 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0326 loss_cls: 0.1392 acc: 88.6719 loss_bbox: 0.1857 loss_mask: 0.1777 +2024/01/17 14:36:56 - mmengine - INFO - Epoch(train) [29][3650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:07:54 time: 0.7871 data_time: 0.0322 memory: 10262 loss: 0.5549 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0264 loss_cls: 0.1379 acc: 98.8281 loss_bbox: 0.1936 loss_mask: 0.1780 +2024/01/17 14:37:36 - mmengine - INFO - Epoch(train) [29][3700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:07:15 time: 0.7990 data_time: 0.0349 memory: 10180 loss: 0.5555 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0299 loss_cls: 0.1296 acc: 94.9219 loss_bbox: 0.1844 loss_mask: 0.1950 +2024/01/17 14:38:15 - mmengine - INFO - Epoch(train) [29][3750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:06:35 time: 0.7974 data_time: 0.0314 memory: 10391 loss: 0.4676 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0234 loss_cls: 0.1075 acc: 99.0234 loss_bbox: 0.1496 loss_mask: 0.1694 +2024/01/17 14:38:23 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 14:38:55 - mmengine - INFO - Epoch(train) [29][3800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:05:55 time: 0.7969 data_time: 0.0361 memory: 10568 loss: 0.5724 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0369 loss_cls: 0.1422 acc: 97.0703 loss_bbox: 0.1883 loss_mask: 0.1824 +2024/01/17 14:39:35 - mmengine - INFO - Epoch(train) [29][3850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:05:16 time: 0.7887 data_time: 0.0387 memory: 10068 loss: 0.5589 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0281 loss_cls: 0.1453 acc: 89.6484 loss_bbox: 0.1870 loss_mask: 0.1763 +2024/01/17 14:40:15 - mmengine - INFO - Epoch(train) [29][3900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:04:36 time: 0.8093 data_time: 0.0332 memory: 9570 loss: 0.4946 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0233 loss_cls: 0.1193 acc: 86.5234 loss_bbox: 0.1621 loss_mask: 0.1744 +2024/01/17 14:40:55 - mmengine - INFO - Epoch(train) [29][3950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:03:56 time: 0.7949 data_time: 0.0357 memory: 9599 loss: 0.5288 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0285 loss_cls: 0.1254 acc: 99.8047 loss_bbox: 0.1777 loss_mask: 0.1783 +2024/01/17 14:41:35 - mmengine - INFO - Epoch(train) [29][4000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:03:17 time: 0.7973 data_time: 0.0339 memory: 10572 loss: 0.4659 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0255 loss_cls: 0.1180 acc: 95.7031 loss_bbox: 0.1445 loss_mask: 0.1547 +2024/01/17 14:42:15 - mmengine - INFO - Epoch(train) [29][4050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:02:37 time: 0.7938 data_time: 0.0295 memory: 10513 loss: 0.4452 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0207 loss_cls: 0.0985 acc: 96.0938 loss_bbox: 0.1520 loss_mask: 0.1619 +2024/01/17 14:42:55 - mmengine - INFO - Epoch(train) [29][4100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:01:57 time: 0.7976 data_time: 0.0379 memory: 10449 loss: 0.4941 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0261 loss_cls: 0.1208 acc: 94.1406 loss_bbox: 0.1581 loss_mask: 0.1751 +2024/01/17 14:43:34 - mmengine - INFO - Epoch(train) [29][4150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:01:18 time: 0.7890 data_time: 0.0345 memory: 9850 loss: 0.5596 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0254 loss_cls: 0.1358 acc: 91.0156 loss_bbox: 0.1847 loss_mask: 0.1951 +2024/01/17 14:44:14 - mmengine - INFO - Epoch(train) [29][4200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 12:00:38 time: 0.7950 data_time: 0.0344 memory: 10013 loss: 0.5386 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0313 loss_cls: 0.1283 acc: 87.5000 loss_bbox: 0.1805 loss_mask: 0.1786 +2024/01/17 14:44:54 - mmengine - INFO - Epoch(train) [29][4250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:59:58 time: 0.7991 data_time: 0.0331 memory: 10067 loss: 0.4950 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0250 loss_cls: 0.1160 acc: 93.5547 loss_bbox: 0.1689 loss_mask: 0.1713 +2024/01/17 14:45:34 - mmengine - INFO - Epoch(train) [29][4300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:59:19 time: 0.7929 data_time: 0.0336 memory: 10516 loss: 0.5937 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0372 loss_cls: 0.1461 acc: 91.2109 loss_bbox: 0.2005 loss_mask: 0.1880 +2024/01/17 14:46:14 - mmengine - INFO - Epoch(train) [29][4350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:58:39 time: 0.7997 data_time: 0.0349 memory: 10572 loss: 0.5309 loss_rpn_cls: 0.0232 loss_rpn_bbox: 0.0276 loss_cls: 0.1285 acc: 100.0000 loss_bbox: 0.1783 loss_mask: 0.1733 +2024/01/17 14:46:53 - mmengine - INFO - Epoch(train) [29][4400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:57:59 time: 0.7936 data_time: 0.0337 memory: 10583 loss: 0.4829 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0226 loss_cls: 0.1132 acc: 96.4844 loss_bbox: 0.1513 loss_mask: 0.1837 +2024/01/17 14:47:33 - mmengine - INFO - Epoch(train) [29][4450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:57:19 time: 0.7953 data_time: 0.0333 memory: 9946 loss: 0.5801 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0303 loss_cls: 0.1537 acc: 85.3516 loss_bbox: 0.1832 loss_mask: 0.1931 +2024/01/17 14:48:12 - mmengine - INFO - Epoch(train) [29][4500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:56:40 time: 0.7850 data_time: 0.0402 memory: 10176 loss: 0.5951 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0292 loss_cls: 0.1501 acc: 82.0312 loss_bbox: 0.2051 loss_mask: 0.1945 +2024/01/17 14:48:53 - mmengine - INFO - Epoch(train) [29][4550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:56:00 time: 0.8140 data_time: 0.0347 memory: 9601 loss: 0.5261 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0266 loss_cls: 0.1247 acc: 86.9141 loss_bbox: 0.1860 loss_mask: 0.1764 +2024/01/17 14:49:33 - mmengine - INFO - Epoch(train) [29][4600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:55:20 time: 0.7909 data_time: 0.0294 memory: 10562 loss: 0.4972 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0232 loss_cls: 0.1141 acc: 89.6484 loss_bbox: 0.1645 loss_mask: 0.1782 +2024/01/17 14:50:13 - mmengine - INFO - Epoch(train) [29][4650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:54:41 time: 0.7985 data_time: 0.0352 memory: 10499 loss: 0.4799 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0282 loss_cls: 0.1091 acc: 100.0000 loss_bbox: 0.1604 loss_mask: 0.1653 +2024/01/17 14:50:53 - mmengine - INFO - Epoch(train) [29][4700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:54:01 time: 0.8096 data_time: 0.0348 memory: 10577 loss: 0.5515 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0310 loss_cls: 0.1354 acc: 96.2891 loss_bbox: 0.1858 loss_mask: 0.1809 +2024/01/17 14:51:33 - mmengine - INFO - Epoch(train) [29][4750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:53:22 time: 0.8034 data_time: 0.0342 memory: 10298 loss: 0.6315 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0352 loss_cls: 0.1567 acc: 98.6328 loss_bbox: 0.2226 loss_mask: 0.2002 +2024/01/17 14:51:41 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 14:52:14 - mmengine - INFO - Epoch(train) [29][4800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:52:42 time: 0.8055 data_time: 0.0325 memory: 10476 loss: 0.4892 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0252 loss_cls: 0.1147 acc: 99.8047 loss_bbox: 0.1588 loss_mask: 0.1755 +2024/01/17 14:52:53 - mmengine - INFO - Epoch(train) [29][4850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:52:02 time: 0.7819 data_time: 0.0301 memory: 9460 loss: 0.5319 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0251 loss_cls: 0.1173 acc: 85.1562 loss_bbox: 0.1894 loss_mask: 0.1836 +2024/01/17 14:53:33 - mmengine - INFO - Epoch(train) [29][4900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:51:23 time: 0.8121 data_time: 0.0332 memory: 10063 loss: 0.5339 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0287 loss_cls: 0.1331 acc: 99.6094 loss_bbox: 0.1858 loss_mask: 0.1708 +2024/01/17 14:54:14 - mmengine - INFO - Epoch(train) [29][4950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:50:43 time: 0.8107 data_time: 0.0313 memory: 10568 loss: 0.4589 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0238 loss_cls: 0.1108 acc: 100.0000 loss_bbox: 0.1542 loss_mask: 0.1598 +2024/01/17 14:54:54 - mmengine - INFO - Epoch(train) [29][5000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:50:04 time: 0.7986 data_time: 0.0354 memory: 9949 loss: 0.6111 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0371 loss_cls: 0.1535 acc: 86.1328 loss_bbox: 0.2059 loss_mask: 0.1960 +2024/01/17 14:55:34 - mmengine - INFO - Epoch(train) [29][5050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:49:24 time: 0.7985 data_time: 0.0343 memory: 10582 loss: 0.5411 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0283 loss_cls: 0.1364 acc: 94.5312 loss_bbox: 0.1847 loss_mask: 0.1760 +2024/01/17 14:56:14 - mmengine - INFO - Epoch(train) [29][5100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:48:44 time: 0.7926 data_time: 0.0312 memory: 10516 loss: 0.4985 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0265 loss_cls: 0.1126 acc: 97.4609 loss_bbox: 0.1669 loss_mask: 0.1739 +2024/01/17 14:56:54 - mmengine - INFO - Epoch(train) [29][5150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:48:05 time: 0.8077 data_time: 0.0357 memory: 10022 loss: 0.5501 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0302 loss_cls: 0.1359 acc: 97.2656 loss_bbox: 0.1854 loss_mask: 0.1793 +2024/01/17 14:57:34 - mmengine - INFO - Epoch(train) [29][5200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:47:25 time: 0.7968 data_time: 0.0327 memory: 10067 loss: 0.5928 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0285 loss_cls: 0.1460 acc: 91.7969 loss_bbox: 0.2061 loss_mask: 0.1955 +2024/01/17 14:58:13 - mmengine - INFO - Epoch(train) [29][5250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:46:45 time: 0.7914 data_time: 0.0375 memory: 9949 loss: 0.5587 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0321 loss_cls: 0.1399 acc: 97.0703 loss_bbox: 0.1794 loss_mask: 0.1911 +2024/01/17 14:58:53 - mmengine - INFO - Epoch(train) [29][5300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:46:05 time: 0.7921 data_time: 0.0364 memory: 10572 loss: 0.5073 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0293 loss_cls: 0.1161 acc: 98.8281 loss_bbox: 0.1687 loss_mask: 0.1674 +2024/01/17 14:59:34 - mmengine - INFO - Epoch(train) [29][5350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:45:26 time: 0.8075 data_time: 0.0383 memory: 10286 loss: 0.5457 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0292 loss_cls: 0.1370 acc: 91.7969 loss_bbox: 0.1990 loss_mask: 0.1642 +2024/01/17 15:00:13 - mmengine - INFO - Epoch(train) [29][5400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:44:46 time: 0.7942 data_time: 0.0375 memory: 9599 loss: 0.5502 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0286 loss_cls: 0.1385 acc: 98.2422 loss_bbox: 0.1957 loss_mask: 0.1749 +2024/01/17 15:00:52 - mmengine - INFO - Epoch(train) [29][5450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:44:06 time: 0.7794 data_time: 0.0273 memory: 11102 loss: 0.4589 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0194 loss_cls: 0.1149 acc: 96.2891 loss_bbox: 0.1583 loss_mask: 0.1583 +2024/01/17 15:01:32 - mmengine - INFO - Epoch(train) [29][5500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:43:27 time: 0.7964 data_time: 0.0349 memory: 10317 loss: 0.4963 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0258 loss_cls: 0.1160 acc: 95.7031 loss_bbox: 0.1705 loss_mask: 0.1707 +2024/01/17 15:02:12 - mmengine - INFO - Epoch(train) [29][5550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:42:47 time: 0.7884 data_time: 0.0372 memory: 9977 loss: 0.5623 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0261 loss_cls: 0.1338 acc: 100.0000 loss_bbox: 0.1890 loss_mask: 0.1917 +2024/01/17 15:02:51 - mmengine - INFO - Epoch(train) [29][5600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:42:07 time: 0.7927 data_time: 0.0339 memory: 10787 loss: 0.5544 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0282 loss_cls: 0.1376 acc: 95.3125 loss_bbox: 0.2006 loss_mask: 0.1764 +2024/01/17 15:03:31 - mmengine - INFO - Epoch(train) [29][5650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:41:28 time: 0.8032 data_time: 0.0358 memory: 10142 loss: 0.4789 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0300 loss_cls: 0.1212 acc: 93.7500 loss_bbox: 0.1555 loss_mask: 0.1573 +2024/01/17 15:04:11 - mmengine - INFO - Epoch(train) [29][5700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:40:48 time: 0.7835 data_time: 0.0363 memory: 9886 loss: 0.5009 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0260 loss_cls: 0.1182 acc: 89.2578 loss_bbox: 0.1722 loss_mask: 0.1721 +2024/01/17 15:04:50 - mmengine - INFO - Epoch(train) [29][5750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:40:08 time: 0.7899 data_time: 0.0426 memory: 10067 loss: 0.5601 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0294 loss_cls: 0.1308 acc: 91.7969 loss_bbox: 0.2011 loss_mask: 0.1854 +2024/01/17 15:04:58 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 15:05:30 - mmengine - INFO - Epoch(train) [29][5800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:39:28 time: 0.8019 data_time: 0.0387 memory: 10391 loss: 0.5778 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0327 loss_cls: 0.1402 acc: 90.2344 loss_bbox: 0.1866 loss_mask: 0.1998 +2024/01/17 15:06:11 - mmengine - INFO - Epoch(train) [29][5850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:38:49 time: 0.8194 data_time: 0.0343 memory: 10572 loss: 0.5343 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0228 loss_cls: 0.1400 acc: 81.2500 loss_bbox: 0.1881 loss_mask: 0.1726 +2024/01/17 15:06:52 - mmengine - INFO - Epoch(train) [29][5900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:38:09 time: 0.8075 data_time: 0.0345 memory: 10568 loss: 0.6125 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0349 loss_cls: 0.1552 acc: 90.0391 loss_bbox: 0.2143 loss_mask: 0.1893 +2024/01/17 15:07:31 - mmengine - INFO - Epoch(train) [29][5950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:37:29 time: 0.7828 data_time: 0.0351 memory: 9524 loss: 0.6020 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0306 loss_cls: 0.1458 acc: 99.6094 loss_bbox: 0.2094 loss_mask: 0.1962 +2024/01/17 15:08:11 - mmengine - INFO - Epoch(train) [29][6000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:36:50 time: 0.8017 data_time: 0.0350 memory: 10706 loss: 0.5505 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0262 loss_cls: 0.1337 acc: 97.8516 loss_bbox: 0.1847 loss_mask: 0.1871 +2024/01/17 15:08:51 - mmengine - INFO - Epoch(train) [29][6050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:36:10 time: 0.8016 data_time: 0.0305 memory: 10568 loss: 0.4911 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0270 loss_cls: 0.1298 acc: 95.5078 loss_bbox: 0.1672 loss_mask: 0.1530 +2024/01/17 15:09:31 - mmengine - INFO - Epoch(train) [29][6100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:35:31 time: 0.8052 data_time: 0.0296 memory: 11094 loss: 0.4857 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0254 loss_cls: 0.1204 acc: 88.8672 loss_bbox: 0.1645 loss_mask: 0.1626 +2024/01/17 15:10:11 - mmengine - INFO - Epoch(train) [29][6150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:34:51 time: 0.7946 data_time: 0.0301 memory: 10341 loss: 0.5229 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0264 loss_cls: 0.1278 acc: 91.7969 loss_bbox: 0.1749 loss_mask: 0.1802 +2024/01/17 15:10:51 - mmengine - INFO - Epoch(train) [29][6200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:34:11 time: 0.7996 data_time: 0.0396 memory: 10640 loss: 0.5715 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0270 loss_cls: 0.1450 acc: 93.5547 loss_bbox: 0.2053 loss_mask: 0.1803 +2024/01/17 15:11:31 - mmengine - INFO - Epoch(train) [29][6250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:33:32 time: 0.8005 data_time: 0.0268 memory: 10067 loss: 0.4101 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0160 loss_cls: 0.0962 acc: 95.3125 loss_bbox: 0.1227 loss_mask: 0.1662 +2024/01/17 15:12:11 - mmengine - INFO - Epoch(train) [29][6300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:32:52 time: 0.7958 data_time: 0.0349 memory: 10476 loss: 0.5180 loss_rpn_cls: 0.0208 loss_rpn_bbox: 0.0255 loss_cls: 0.1308 acc: 86.7188 loss_bbox: 0.1732 loss_mask: 0.1677 +2024/01/17 15:12:52 - mmengine - INFO - Epoch(train) [29][6350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:32:12 time: 0.8084 data_time: 0.0361 memory: 10153 loss: 0.6220 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0374 loss_cls: 0.1566 acc: 90.0391 loss_bbox: 0.2020 loss_mask: 0.2035 +2024/01/17 15:13:32 - mmengine - INFO - Epoch(train) [29][6400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:31:33 time: 0.8012 data_time: 0.0332 memory: 9853 loss: 0.4964 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0251 loss_cls: 0.1194 acc: 88.4766 loss_bbox: 0.1642 loss_mask: 0.1707 +2024/01/17 15:14:11 - mmengine - INFO - Epoch(train) [29][6450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:30:53 time: 0.7882 data_time: 0.0327 memory: 10067 loss: 0.4665 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0171 loss_cls: 0.1046 acc: 100.0000 loss_bbox: 0.1629 loss_mask: 0.1724 +2024/01/17 15:14:51 - mmengine - INFO - Epoch(train) [29][6500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:30:13 time: 0.7961 data_time: 0.0354 memory: 9734 loss: 0.5792 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0355 loss_cls: 0.1421 acc: 92.5781 loss_bbox: 0.1981 loss_mask: 0.1870 +2024/01/17 15:15:31 - mmengine - INFO - Epoch(train) [29][6550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:29:34 time: 0.8076 data_time: 0.0414 memory: 10564 loss: 0.5340 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0276 loss_cls: 0.1283 acc: 93.7500 loss_bbox: 0.1811 loss_mask: 0.1823 +2024/01/17 15:16:11 - mmengine - INFO - Epoch(train) [29][6600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:28:54 time: 0.7989 data_time: 0.0276 memory: 9758 loss: 0.4623 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0217 loss_cls: 0.1116 acc: 92.9688 loss_bbox: 0.1448 loss_mask: 0.1705 +2024/01/17 15:16:52 - mmengine - INFO - Epoch(train) [29][6650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:28:15 time: 0.8045 data_time: 0.0291 memory: 10067 loss: 0.4862 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0232 loss_cls: 0.1129 acc: 98.6328 loss_bbox: 0.1662 loss_mask: 0.1746 +2024/01/17 15:17:31 - mmengine - INFO - Epoch(train) [29][6700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:27:35 time: 0.7935 data_time: 0.0341 memory: 9949 loss: 0.5338 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0310 loss_cls: 0.1244 acc: 99.6094 loss_bbox: 0.1777 loss_mask: 0.1786 +2024/01/17 15:18:11 - mmengine - INFO - Epoch(train) [29][6750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:26:55 time: 0.7936 data_time: 0.0309 memory: 9253 loss: 0.4794 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0198 loss_cls: 0.1164 acc: 98.4375 loss_bbox: 0.1570 loss_mask: 0.1715 +2024/01/17 15:18:19 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 15:18:51 - mmengine - INFO - Epoch(train) [29][6800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:26:15 time: 0.8024 data_time: 0.0345 memory: 10524 loss: 0.5475 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0294 loss_cls: 0.1310 acc: 92.7734 loss_bbox: 0.1906 loss_mask: 0.1826 +2024/01/17 15:19:31 - mmengine - INFO - Epoch(train) [29][6850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:25:36 time: 0.7982 data_time: 0.0384 memory: 10067 loss: 0.6005 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0349 loss_cls: 0.1473 acc: 95.3125 loss_bbox: 0.1981 loss_mask: 0.2035 +2024/01/17 15:20:11 - mmengine - INFO - Epoch(train) [29][6900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:24:56 time: 0.7909 data_time: 0.0380 memory: 9734 loss: 0.5417 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0309 loss_cls: 0.1240 acc: 99.8047 loss_bbox: 0.1871 loss_mask: 0.1779 +2024/01/17 15:20:50 - mmengine - INFO - Epoch(train) [29][6950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:24:16 time: 0.7859 data_time: 0.0370 memory: 10568 loss: 0.5858 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0386 loss_cls: 0.1443 acc: 89.8438 loss_bbox: 0.1831 loss_mask: 0.1906 +2024/01/17 15:21:29 - mmengine - INFO - Epoch(train) [29][7000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:23:36 time: 0.7842 data_time: 0.0314 memory: 9850 loss: 0.5459 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0305 loss_cls: 0.1339 acc: 93.3594 loss_bbox: 0.1840 loss_mask: 0.1802 +2024/01/17 15:22:09 - mmengine - INFO - Epoch(train) [29][7050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:22:57 time: 0.8005 data_time: 0.0353 memory: 10583 loss: 0.5488 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0251 loss_cls: 0.1401 acc: 95.7031 loss_bbox: 0.1834 loss_mask: 0.1858 +2024/01/17 15:22:49 - mmengine - INFO - Epoch(train) [29][7100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:22:17 time: 0.7949 data_time: 0.0358 memory: 10572 loss: 0.5652 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0303 loss_cls: 0.1317 acc: 98.6328 loss_bbox: 0.2024 loss_mask: 0.1853 +2024/01/17 15:23:29 - mmengine - INFO - Epoch(train) [29][7150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:21:37 time: 0.8040 data_time: 0.0332 memory: 9850 loss: 0.4334 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0208 loss_cls: 0.0989 acc: 96.2891 loss_bbox: 0.1507 loss_mask: 0.1528 +2024/01/17 15:24:10 - mmengine - INFO - Epoch(train) [29][7200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:20:58 time: 0.8044 data_time: 0.0326 memory: 10067 loss: 0.5021 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0227 loss_cls: 0.1245 acc: 99.0234 loss_bbox: 0.1640 loss_mask: 0.1771 +2024/01/17 15:24:50 - mmengine - INFO - Epoch(train) [29][7250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:20:18 time: 0.7993 data_time: 0.0369 memory: 11108 loss: 0.4604 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0186 loss_cls: 0.1142 acc: 100.0000 loss_bbox: 0.1568 loss_mask: 0.1574 +2024/01/17 15:25:30 - mmengine - INFO - Epoch(train) [29][7300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:19:39 time: 0.7995 data_time: 0.0316 memory: 10343 loss: 0.4334 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0192 loss_cls: 0.1058 acc: 99.2188 loss_bbox: 0.1401 loss_mask: 0.1558 +2024/01/17 15:25:54 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 15:25:54 - mmengine - INFO - Saving checkpoint at 29 epochs +2024/01/17 15:26:08 - mmengine - INFO - Epoch(val) [29][ 50/313] eta: 0:00:53 time: 0.2040 data_time: 0.0457 memory: 9526 +2024/01/17 15:26:18 - mmengine - INFO - Epoch(val) [29][100/313] eta: 0:00:41 time: 0.1896 data_time: 0.0311 memory: 2388 +2024/01/17 15:26:27 - mmengine - INFO - Epoch(val) [29][150/313] eta: 0:00:31 time: 0.1904 data_time: 0.0358 memory: 2431 +2024/01/17 15:26:37 - mmengine - INFO - Epoch(val) [29][200/313] eta: 0:00:22 time: 0.2049 data_time: 0.0458 memory: 2403 +2024/01/17 15:26:47 - mmengine - INFO - Epoch(val) [29][250/313] eta: 0:00:12 time: 0.1876 data_time: 0.0274 memory: 2431 +2024/01/17 15:26:57 - mmengine - INFO - Epoch(val) [29][300/313] eta: 0:00:02 time: 0.1995 data_time: 0.0422 memory: 2403 +2024/01/17 15:27:04 - mmengine - INFO - Evaluating bbox... +2024/01/17 15:27:26 - mmengine - INFO - bbox_mAP_copypaste: 0.495 0.705 0.538 0.329 0.532 0.652 +2024/01/17 15:27:26 - mmengine - INFO - Evaluating segm... +2024/01/17 15:27:49 - mmengine - INFO - segm_mAP_copypaste: 0.439 0.676 0.472 0.243 0.471 0.628 +2024/01/17 15:27:49 - mmengine - INFO - Epoch(val) [29][313/313] coco/bbox_mAP: 0.4950 coco/bbox_mAP_50: 0.7050 coco/bbox_mAP_75: 0.5380 coco/bbox_mAP_s: 0.3290 coco/bbox_mAP_m: 0.5320 coco/bbox_mAP_l: 0.6520 coco/segm_mAP: 0.4390 coco/segm_mAP_50: 0.6760 coco/segm_mAP_75: 0.4720 coco/segm_mAP_s: 0.2430 coco/segm_mAP_m: 0.4710 coco/segm_mAP_l: 0.6280 data_time: 0.0365 time: 0.1942 +2024/01/17 15:28:30 - mmengine - INFO - Epoch(train) [30][ 50/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:18:35 time: 0.8170 data_time: 0.0410 memory: 10153 loss: 0.4439 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0255 loss_cls: 0.1058 acc: 96.4844 loss_bbox: 0.1483 loss_mask: 0.1552 +2024/01/17 15:29:10 - mmengine - INFO - Epoch(train) [30][ 100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:17:56 time: 0.7945 data_time: 0.0280 memory: 10153 loss: 0.4607 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0184 loss_cls: 0.1049 acc: 99.4141 loss_bbox: 0.1594 loss_mask: 0.1643 +2024/01/17 15:29:50 - mmengine - INFO - Epoch(train) [30][ 150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:17:16 time: 0.7999 data_time: 0.0296 memory: 9793 loss: 0.5612 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0302 loss_cls: 0.1336 acc: 94.9219 loss_bbox: 0.1814 loss_mask: 0.1914 +2024/01/17 15:30:30 - mmengine - INFO - Epoch(train) [30][ 200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:16:36 time: 0.7946 data_time: 0.0310 memory: 10568 loss: 0.4474 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0220 loss_cls: 0.1046 acc: 97.8516 loss_bbox: 0.1512 loss_mask: 0.1553 +2024/01/17 15:31:10 - mmengine - INFO - Epoch(train) [30][ 250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:15:57 time: 0.7951 data_time: 0.0314 memory: 8671 loss: 0.5116 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0264 loss_cls: 0.1233 acc: 99.6094 loss_bbox: 0.1728 loss_mask: 0.1751 +2024/01/17 15:31:50 - mmengine - INFO - Epoch(train) [30][ 300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:15:17 time: 0.8046 data_time: 0.0297 memory: 9884 loss: 0.5346 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0184 loss_cls: 0.1268 acc: 98.8281 loss_bbox: 0.1938 loss_mask: 0.1826 +2024/01/17 15:32:31 - mmengine - INFO - Epoch(train) [30][ 350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:14:38 time: 0.8178 data_time: 0.0334 memory: 9420 loss: 0.5516 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0295 loss_cls: 0.1471 acc: 96.6797 loss_bbox: 0.1845 loss_mask: 0.1724 +2024/01/17 15:33:10 - mmengine - INFO - Epoch(train) [30][ 400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:13:58 time: 0.7906 data_time: 0.0322 memory: 10186 loss: 0.4957 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0215 loss_cls: 0.1326 acc: 99.8047 loss_bbox: 0.1653 loss_mask: 0.1613 +2024/01/17 15:33:34 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 15:33:50 - mmengine - INFO - Epoch(train) [30][ 450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:13:18 time: 0.8002 data_time: 0.0313 memory: 10568 loss: 0.4583 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0229 loss_cls: 0.1098 acc: 100.0000 loss_bbox: 0.1507 loss_mask: 0.1667 +2024/01/17 15:34:31 - mmengine - INFO - Epoch(train) [30][ 500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:12:39 time: 0.8128 data_time: 0.0333 memory: 10067 loss: 0.5091 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0227 loss_cls: 0.1121 acc: 94.3359 loss_bbox: 0.1786 loss_mask: 0.1809 +2024/01/17 15:35:11 - mmengine - INFO - Epoch(train) [30][ 550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:11:59 time: 0.7949 data_time: 0.0391 memory: 9081 loss: 0.5514 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0320 loss_cls: 0.1391 acc: 87.6953 loss_bbox: 0.1907 loss_mask: 0.1678 +2024/01/17 15:35:50 - mmengine - INFO - Epoch(train) [30][ 600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:11:19 time: 0.7917 data_time: 0.0326 memory: 11026 loss: 0.5035 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0228 loss_cls: 0.1218 acc: 99.6094 loss_bbox: 0.1717 loss_mask: 0.1771 +2024/01/17 15:36:30 - mmengine - INFO - Epoch(train) [30][ 650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:10:39 time: 0.7880 data_time: 0.0348 memory: 9802 loss: 0.5007 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0218 loss_cls: 0.1243 acc: 93.5547 loss_bbox: 0.1701 loss_mask: 0.1703 +2024/01/17 15:37:10 - mmengine - INFO - Epoch(train) [30][ 700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:10:00 time: 0.8072 data_time: 0.0367 memory: 10153 loss: 0.5066 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0266 loss_cls: 0.1076 acc: 92.9688 loss_bbox: 0.1747 loss_mask: 0.1847 +2024/01/17 15:37:50 - mmengine - INFO - Epoch(train) [30][ 750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:09:20 time: 0.8010 data_time: 0.0306 memory: 9800 loss: 0.4058 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0152 loss_cls: 0.0888 acc: 99.4141 loss_bbox: 0.1261 loss_mask: 0.1645 +2024/01/17 15:38:30 - mmengine - INFO - Epoch(train) [30][ 800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:08:40 time: 0.7921 data_time: 0.0363 memory: 10715 loss: 0.5280 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0317 loss_cls: 0.1304 acc: 93.7500 loss_bbox: 0.1773 loss_mask: 0.1688 +2024/01/17 15:39:10 - mmengine - INFO - Epoch(train) [30][ 850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:08:01 time: 0.8053 data_time: 0.0334 memory: 10516 loss: 0.5372 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0304 loss_cls: 0.1295 acc: 98.6328 loss_bbox: 0.1830 loss_mask: 0.1795 +2024/01/17 15:39:51 - mmengine - INFO - Epoch(train) [30][ 900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:07:21 time: 0.8042 data_time: 0.0336 memory: 10568 loss: 0.5354 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0246 loss_cls: 0.1285 acc: 95.5078 loss_bbox: 0.1862 loss_mask: 0.1798 +2024/01/17 15:40:30 - mmengine - INFO - Epoch(train) [30][ 950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:06:42 time: 0.7940 data_time: 0.0342 memory: 9913 loss: 0.4904 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0239 loss_cls: 0.1174 acc: 90.8203 loss_bbox: 0.1645 loss_mask: 0.1750 +2024/01/17 15:41:10 - mmengine - INFO - Epoch(train) [30][1000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:06:02 time: 0.7877 data_time: 0.0302 memory: 9601 loss: 0.4933 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0250 loss_cls: 0.1147 acc: 98.8281 loss_bbox: 0.1596 loss_mask: 0.1766 +2024/01/17 15:41:50 - mmengine - INFO - Epoch(train) [30][1050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:05:22 time: 0.8048 data_time: 0.0303 memory: 10950 loss: 0.4472 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0180 loss_cls: 0.1034 acc: 95.7031 loss_bbox: 0.1470 loss_mask: 0.1696 +2024/01/17 15:42:30 - mmengine - INFO - Epoch(train) [30][1100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:04:43 time: 0.8018 data_time: 0.0360 memory: 11513 loss: 0.4995 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0261 loss_cls: 0.1137 acc: 90.4297 loss_bbox: 0.1678 loss_mask: 0.1766 +2024/01/17 15:43:11 - mmengine - INFO - Epoch(train) [30][1150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:04:03 time: 0.8111 data_time: 0.0316 memory: 11517 loss: 0.3928 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0165 loss_cls: 0.0852 acc: 94.3359 loss_bbox: 0.1374 loss_mask: 0.1470 +2024/01/17 15:43:51 - mmengine - INFO - Epoch(train) [30][1200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:03:24 time: 0.8141 data_time: 0.0285 memory: 10308 loss: 0.4406 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0211 loss_cls: 0.1039 acc: 98.0469 loss_bbox: 0.1432 loss_mask: 0.1633 +2024/01/17 15:44:32 - mmengine - INFO - Epoch(train) [30][1250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:02:44 time: 0.8026 data_time: 0.0357 memory: 10572 loss: 0.5253 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0296 loss_cls: 0.1272 acc: 95.7031 loss_bbox: 0.1840 loss_mask: 0.1728 +2024/01/17 15:45:11 - mmengine - INFO - Epoch(train) [30][1300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:02:04 time: 0.7857 data_time: 0.0354 memory: 11013 loss: 0.5419 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0285 loss_cls: 0.1245 acc: 98.8281 loss_bbox: 0.1977 loss_mask: 0.1783 +2024/01/17 15:45:51 - mmengine - INFO - Epoch(train) [30][1350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:01:24 time: 0.8065 data_time: 0.0308 memory: 9253 loss: 0.6172 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0342 loss_cls: 0.1555 acc: 92.5781 loss_bbox: 0.2043 loss_mask: 0.2104 +2024/01/17 15:46:31 - mmengine - INFO - Epoch(train) [30][1400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:00:45 time: 0.7935 data_time: 0.0365 memory: 10568 loss: 0.5652 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0270 loss_cls: 0.1399 acc: 91.6016 loss_bbox: 0.2013 loss_mask: 0.1771 +2024/01/17 15:46:55 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 15:47:11 - mmengine - INFO - Epoch(train) [30][1450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 11:00:05 time: 0.7945 data_time: 0.0350 memory: 10572 loss: 0.5347 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0354 loss_cls: 0.1229 acc: 97.2656 loss_bbox: 0.1792 loss_mask: 0.1792 +2024/01/17 15:47:51 - mmengine - INFO - Epoch(train) [30][1500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:59:25 time: 0.7947 data_time: 0.0300 memory: 10404 loss: 0.5292 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0250 loss_cls: 0.1245 acc: 87.6953 loss_bbox: 0.1808 loss_mask: 0.1835 +2024/01/17 15:48:31 - mmengine - INFO - Epoch(train) [30][1550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:58:46 time: 0.8091 data_time: 0.0366 memory: 10572 loss: 0.4708 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0255 loss_cls: 0.1192 acc: 99.8047 loss_bbox: 0.1571 loss_mask: 0.1566 +2024/01/17 15:49:11 - mmengine - INFO - Epoch(train) [30][1600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:58:06 time: 0.7995 data_time: 0.0378 memory: 11420 loss: 0.4692 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0268 loss_cls: 0.1097 acc: 98.8281 loss_bbox: 0.1605 loss_mask: 0.1616 +2024/01/17 15:49:51 - mmengine - INFO - Epoch(train) [30][1650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:57:26 time: 0.7903 data_time: 0.0332 memory: 9904 loss: 0.4638 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0217 loss_cls: 0.1084 acc: 89.2578 loss_bbox: 0.1556 loss_mask: 0.1649 +2024/01/17 15:50:31 - mmengine - INFO - Epoch(train) [30][1700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:56:47 time: 0.8000 data_time: 0.0370 memory: 10067 loss: 0.5419 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0265 loss_cls: 0.1357 acc: 99.0234 loss_bbox: 0.1787 loss_mask: 0.1841 +2024/01/17 15:51:11 - mmengine - INFO - Epoch(train) [30][1750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:56:07 time: 0.7966 data_time: 0.0325 memory: 10906 loss: 0.4801 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0201 loss_cls: 0.1104 acc: 99.2188 loss_bbox: 0.1588 loss_mask: 0.1805 +2024/01/17 15:51:51 - mmengine - INFO - Epoch(train) [30][1800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:55:27 time: 0.8020 data_time: 0.0403 memory: 10096 loss: 0.5146 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0279 loss_cls: 0.1203 acc: 98.2422 loss_bbox: 0.1850 loss_mask: 0.1648 +2024/01/17 15:52:31 - mmengine - INFO - Epoch(train) [30][1850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:54:48 time: 0.8014 data_time: 0.0351 memory: 11102 loss: 0.4718 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0271 loss_cls: 0.1030 acc: 93.3594 loss_bbox: 0.1543 loss_mask: 0.1770 +2024/01/17 15:53:11 - mmengine - INFO - Epoch(train) [30][1900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:54:08 time: 0.7948 data_time: 0.0405 memory: 10572 loss: 0.5839 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0331 loss_cls: 0.1504 acc: 84.9609 loss_bbox: 0.2077 loss_mask: 0.1766 +2024/01/17 15:53:51 - mmengine - INFO - Epoch(train) [30][1950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:53:28 time: 0.8030 data_time: 0.0316 memory: 10572 loss: 0.4538 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0192 loss_cls: 0.1051 acc: 99.4141 loss_bbox: 0.1517 loss_mask: 0.1685 +2024/01/17 15:54:30 - mmengine - INFO - Epoch(train) [30][2000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:52:49 time: 0.7932 data_time: 0.0349 memory: 10067 loss: 0.5161 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0243 loss_cls: 0.1268 acc: 83.0078 loss_bbox: 0.1754 loss_mask: 0.1705 +2024/01/17 15:55:10 - mmengine - INFO - Epoch(train) [30][2050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:52:09 time: 0.7843 data_time: 0.0327 memory: 10715 loss: 0.5349 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0235 loss_cls: 0.1246 acc: 100.0000 loss_bbox: 0.1917 loss_mask: 0.1841 +2024/01/17 15:55:50 - mmengine - INFO - Epoch(train) [30][2100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:51:29 time: 0.8026 data_time: 0.0363 memory: 10783 loss: 0.5793 loss_rpn_cls: 0.0233 loss_rpn_bbox: 0.0265 loss_cls: 0.1344 acc: 91.7969 loss_bbox: 0.2029 loss_mask: 0.1921 +2024/01/17 15:56:29 - mmengine - INFO - Epoch(train) [30][2150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:50:49 time: 0.7882 data_time: 0.0378 memory: 10094 loss: 0.5827 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0298 loss_cls: 0.1401 acc: 98.6328 loss_bbox: 0.1993 loss_mask: 0.1913 +2024/01/17 15:57:09 - mmengine - INFO - Epoch(train) [30][2200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:50:10 time: 0.7923 data_time: 0.0337 memory: 9896 loss: 0.4921 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0223 loss_cls: 0.1206 acc: 98.4375 loss_bbox: 0.1691 loss_mask: 0.1653 +2024/01/17 15:57:49 - mmengine - INFO - Epoch(train) [30][2250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:49:30 time: 0.8015 data_time: 0.0307 memory: 9737 loss: 0.4907 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0247 loss_cls: 0.1224 acc: 91.7969 loss_bbox: 0.1579 loss_mask: 0.1744 +2024/01/17 15:58:28 - mmengine - INFO - Epoch(train) [30][2300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:48:50 time: 0.7852 data_time: 0.0331 memory: 10067 loss: 0.4489 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0217 loss_cls: 0.0993 acc: 93.1641 loss_bbox: 0.1514 loss_mask: 0.1687 +2024/01/17 15:59:08 - mmengine - INFO - Epoch(train) [30][2350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:48:11 time: 0.8008 data_time: 0.0295 memory: 11102 loss: 0.4512 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0218 loss_cls: 0.1063 acc: 93.3594 loss_bbox: 0.1479 loss_mask: 0.1627 +2024/01/17 15:59:49 - mmengine - INFO - Epoch(train) [30][2400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:47:31 time: 0.8024 data_time: 0.0350 memory: 10405 loss: 0.6094 loss_rpn_cls: 0.0247 loss_rpn_bbox: 0.0303 loss_cls: 0.1494 acc: 97.2656 loss_bbox: 0.2079 loss_mask: 0.1971 +2024/01/17 16:00:13 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 16:00:28 - mmengine - INFO - Epoch(train) [30][2450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:46:51 time: 0.7927 data_time: 0.0329 memory: 10069 loss: 0.5205 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0264 loss_cls: 0.1238 acc: 97.6562 loss_bbox: 0.1860 loss_mask: 0.1676 +2024/01/17 16:01:08 - mmengine - INFO - Epoch(train) [30][2500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:46:12 time: 0.7940 data_time: 0.0311 memory: 10529 loss: 0.4752 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0211 loss_cls: 0.1119 acc: 87.1094 loss_bbox: 0.1530 loss_mask: 0.1764 +2024/01/17 16:01:48 - mmengine - INFO - Epoch(train) [30][2550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:45:32 time: 0.8036 data_time: 0.0347 memory: 9796 loss: 0.5366 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0330 loss_cls: 0.1312 acc: 88.2812 loss_bbox: 0.1787 loss_mask: 0.1740 +2024/01/17 16:02:28 - mmengine - INFO - Epoch(train) [30][2600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:44:52 time: 0.7875 data_time: 0.0339 memory: 10571 loss: 0.5582 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0342 loss_cls: 0.1364 acc: 84.5703 loss_bbox: 0.1911 loss_mask: 0.1752 +2024/01/17 16:03:09 - mmengine - INFO - Epoch(train) [30][2650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:44:13 time: 0.8201 data_time: 0.0299 memory: 10572 loss: 0.5292 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0229 loss_cls: 0.1336 acc: 100.0000 loss_bbox: 0.1797 loss_mask: 0.1767 +2024/01/17 16:03:49 - mmengine - INFO - Epoch(train) [30][2700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:43:33 time: 0.8093 data_time: 0.0426 memory: 10067 loss: 0.5648 loss_rpn_cls: 0.0229 loss_rpn_bbox: 0.0387 loss_cls: 0.1333 acc: 96.0938 loss_bbox: 0.1853 loss_mask: 0.1846 +2024/01/17 16:04:29 - mmengine - INFO - Epoch(train) [30][2750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:42:54 time: 0.8009 data_time: 0.0328 memory: 10364 loss: 0.5856 loss_rpn_cls: 0.0214 loss_rpn_bbox: 0.0299 loss_cls: 0.1433 acc: 99.2188 loss_bbox: 0.2001 loss_mask: 0.1910 +2024/01/17 16:05:10 - mmengine - INFO - Epoch(train) [30][2800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:42:14 time: 0.8094 data_time: 0.0394 memory: 10583 loss: 0.6321 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0369 loss_cls: 0.1464 acc: 98.0469 loss_bbox: 0.2248 loss_mask: 0.2043 +2024/01/17 16:05:50 - mmengine - INFO - Epoch(train) [30][2850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:41:34 time: 0.8004 data_time: 0.0298 memory: 10278 loss: 0.5119 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0266 loss_cls: 0.1310 acc: 99.8047 loss_bbox: 0.1689 loss_mask: 0.1702 +2024/01/17 16:06:29 - mmengine - INFO - Epoch(train) [30][2900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:40:54 time: 0.7808 data_time: 0.0331 memory: 10572 loss: 0.5061 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0263 loss_cls: 0.1244 acc: 83.7891 loss_bbox: 0.1695 loss_mask: 0.1679 +2024/01/17 16:07:08 - mmengine - INFO - Epoch(train) [30][2950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:40:15 time: 0.7825 data_time: 0.0314 memory: 10640 loss: 0.4757 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0211 loss_cls: 0.1178 acc: 98.6328 loss_bbox: 0.1539 loss_mask: 0.1683 +2024/01/17 16:07:48 - mmengine - INFO - Epoch(train) [30][3000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:39:35 time: 0.7907 data_time: 0.0311 memory: 9736 loss: 0.4955 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0195 loss_cls: 0.1121 acc: 99.8047 loss_bbox: 0.1729 loss_mask: 0.1815 +2024/01/17 16:08:28 - mmengine - INFO - Epoch(train) [30][3050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:38:55 time: 0.7973 data_time: 0.0315 memory: 10934 loss: 0.5075 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0245 loss_cls: 0.1264 acc: 99.4141 loss_bbox: 0.1723 loss_mask: 0.1716 +2024/01/17 16:09:07 - mmengine - INFO - Epoch(train) [30][3100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:38:15 time: 0.7933 data_time: 0.0292 memory: 9177 loss: 0.4718 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0195 loss_cls: 0.1106 acc: 100.0000 loss_bbox: 0.1577 loss_mask: 0.1743 +2024/01/17 16:09:47 - mmengine - INFO - Epoch(train) [30][3150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:37:36 time: 0.8013 data_time: 0.0293 memory: 10356 loss: 0.5076 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0207 loss_cls: 0.1259 acc: 91.9922 loss_bbox: 0.1712 loss_mask: 0.1763 +2024/01/17 16:10:27 - mmengine - INFO - Epoch(train) [30][3200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:36:56 time: 0.7933 data_time: 0.0341 memory: 10067 loss: 0.4675 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0249 loss_cls: 0.1065 acc: 89.4531 loss_bbox: 0.1547 loss_mask: 0.1641 +2024/01/17 16:11:06 - mmengine - INFO - Epoch(train) [30][3250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:36:16 time: 0.7720 data_time: 0.0324 memory: 9736 loss: 0.5052 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0273 loss_cls: 0.1261 acc: 99.2188 loss_bbox: 0.1718 loss_mask: 0.1628 +2024/01/17 16:11:46 - mmengine - INFO - Epoch(train) [30][3300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:35:37 time: 0.8127 data_time: 0.0327 memory: 10572 loss: 0.5333 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0243 loss_cls: 0.1340 acc: 92.5781 loss_bbox: 0.1711 loss_mask: 0.1871 +2024/01/17 16:12:25 - mmengine - INFO - Epoch(train) [30][3350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:34:57 time: 0.7788 data_time: 0.0379 memory: 10067 loss: 0.5602 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0337 loss_cls: 0.1365 acc: 99.4141 loss_bbox: 0.1890 loss_mask: 0.1875 +2024/01/17 16:13:05 - mmengine - INFO - Epoch(train) [30][3400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:34:17 time: 0.7909 data_time: 0.0323 memory: 9725 loss: 0.5376 loss_rpn_cls: 0.0279 loss_rpn_bbox: 0.0298 loss_cls: 0.1270 acc: 94.1406 loss_bbox: 0.1802 loss_mask: 0.1727 +2024/01/17 16:13:29 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 16:13:44 - mmengine - INFO - Epoch(train) [30][3450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:33:37 time: 0.7916 data_time: 0.0300 memory: 9202 loss: 0.5178 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0306 loss_cls: 0.1120 acc: 90.0391 loss_bbox: 0.1667 loss_mask: 0.1823 +2024/01/17 16:14:24 - mmengine - INFO - Epoch(train) [30][3500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:32:57 time: 0.7918 data_time: 0.0290 memory: 9120 loss: 0.4957 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0211 loss_cls: 0.1135 acc: 99.2188 loss_bbox: 0.1642 loss_mask: 0.1830 +2024/01/17 16:15:04 - mmengine - INFO - Epoch(train) [30][3550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:32:18 time: 0.7905 data_time: 0.0362 memory: 9511 loss: 0.5438 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0277 loss_cls: 0.1300 acc: 95.8984 loss_bbox: 0.1912 loss_mask: 0.1781 +2024/01/17 16:15:43 - mmengine - INFO - Epoch(train) [30][3600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:31:38 time: 0.7876 data_time: 0.0317 memory: 10872 loss: 0.5109 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0283 loss_cls: 0.1172 acc: 99.8047 loss_bbox: 0.1660 loss_mask: 0.1865 +2024/01/17 16:16:23 - mmengine - INFO - Epoch(train) [30][3650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:30:58 time: 0.7891 data_time: 0.0341 memory: 10572 loss: 0.5076 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0231 loss_cls: 0.1164 acc: 95.8984 loss_bbox: 0.1842 loss_mask: 0.1728 +2024/01/17 16:17:02 - mmengine - INFO - Epoch(train) [30][3700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:30:18 time: 0.7815 data_time: 0.0292 memory: 10119 loss: 0.5023 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0282 loss_cls: 0.1206 acc: 95.5078 loss_bbox: 0.1601 loss_mask: 0.1795 +2024/01/17 16:17:41 - mmengine - INFO - Epoch(train) [30][3750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:29:39 time: 0.7942 data_time: 0.0351 memory: 9643 loss: 0.5286 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0262 loss_cls: 0.1314 acc: 94.3359 loss_bbox: 0.1866 loss_mask: 0.1713 +2024/01/17 16:18:21 - mmengine - INFO - Epoch(train) [30][3800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:28:59 time: 0.7916 data_time: 0.0332 memory: 9459 loss: 0.4074 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0170 loss_cls: 0.0934 acc: 86.3281 loss_bbox: 0.1275 loss_mask: 0.1607 +2024/01/17 16:19:01 - mmengine - INFO - Epoch(train) [30][3850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:28:19 time: 0.7984 data_time: 0.0312 memory: 11158 loss: 0.4800 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0230 loss_cls: 0.1099 acc: 98.6328 loss_bbox: 0.1644 loss_mask: 0.1740 +2024/01/17 16:19:41 - mmengine - INFO - Epoch(train) [30][3900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:27:39 time: 0.7995 data_time: 0.0330 memory: 9521 loss: 0.4979 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0236 loss_cls: 0.1323 acc: 98.4375 loss_bbox: 0.1579 loss_mask: 0.1696 +2024/01/17 16:20:22 - mmengine - INFO - Epoch(train) [30][3950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:27:00 time: 0.8110 data_time: 0.0398 memory: 10245 loss: 0.5619 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0297 loss_cls: 0.1278 acc: 88.8672 loss_bbox: 0.1927 loss_mask: 0.1968 +2024/01/17 16:21:02 - mmengine - INFO - Epoch(train) [30][4000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:26:20 time: 0.8098 data_time: 0.0359 memory: 10856 loss: 0.5286 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0312 loss_cls: 0.1312 acc: 87.6953 loss_bbox: 0.1816 loss_mask: 0.1695 +2024/01/17 16:21:43 - mmengine - INFO - Epoch(train) [30][4050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:25:41 time: 0.8128 data_time: 0.0364 memory: 10712 loss: 0.5669 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0348 loss_cls: 0.1388 acc: 99.2188 loss_bbox: 0.1936 loss_mask: 0.1814 +2024/01/17 16:22:22 - mmengine - INFO - Epoch(train) [30][4100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:25:01 time: 0.7852 data_time: 0.0317 memory: 10087 loss: 0.4295 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0246 loss_cls: 0.0892 acc: 84.5703 loss_bbox: 0.1378 loss_mask: 0.1631 +2024/01/17 16:23:01 - mmengine - INFO - Epoch(train) [30][4150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:24:21 time: 0.7843 data_time: 0.0382 memory: 11102 loss: 0.5812 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0357 loss_cls: 0.1444 acc: 88.0859 loss_bbox: 0.1934 loss_mask: 0.1940 +2024/01/17 16:23:40 - mmengine - INFO - Epoch(train) [30][4200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:23:41 time: 0.7734 data_time: 0.0322 memory: 10572 loss: 0.5740 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0294 loss_cls: 0.1441 acc: 90.2344 loss_bbox: 0.1883 loss_mask: 0.1923 +2024/01/17 16:24:20 - mmengine - INFO - Epoch(train) [30][4250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:23:02 time: 0.7914 data_time: 0.0286 memory: 10090 loss: 0.4602 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0193 loss_cls: 0.1149 acc: 99.4141 loss_bbox: 0.1518 loss_mask: 0.1565 +2024/01/17 16:25:00 - mmengine - INFO - Epoch(train) [30][4300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:22:22 time: 0.7979 data_time: 0.0345 memory: 10572 loss: 0.5031 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0239 loss_cls: 0.1207 acc: 94.3359 loss_bbox: 0.1716 loss_mask: 0.1690 +2024/01/17 16:25:40 - mmengine - INFO - Epoch(train) [30][4350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:21:42 time: 0.7994 data_time: 0.0312 memory: 11389 loss: 0.5154 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0202 loss_cls: 0.1105 acc: 95.1172 loss_bbox: 0.1724 loss_mask: 0.2004 +2024/01/17 16:26:20 - mmengine - INFO - Epoch(train) [30][4400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:21:03 time: 0.8003 data_time: 0.0293 memory: 10583 loss: 0.4897 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0250 loss_cls: 0.1228 acc: 96.0938 loss_bbox: 0.1702 loss_mask: 0.1598 +2024/01/17 16:26:43 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 16:26:59 - mmengine - INFO - Epoch(train) [30][4450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:20:23 time: 0.7832 data_time: 0.0317 memory: 10253 loss: 0.5289 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0330 loss_cls: 0.1210 acc: 97.6562 loss_bbox: 0.1763 loss_mask: 0.1820 +2024/01/17 16:27:38 - mmengine - INFO - Epoch(train) [30][4500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:19:43 time: 0.7883 data_time: 0.0290 memory: 10986 loss: 0.4662 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0283 loss_cls: 0.1038 acc: 97.4609 loss_bbox: 0.1583 loss_mask: 0.1625 +2024/01/17 16:28:18 - mmengine - INFO - Epoch(train) [30][4550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:19:03 time: 0.7883 data_time: 0.0316 memory: 10067 loss: 0.4921 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0249 loss_cls: 0.1148 acc: 98.4375 loss_bbox: 0.1648 loss_mask: 0.1702 +2024/01/17 16:28:58 - mmengine - INFO - Epoch(train) [30][4600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:18:23 time: 0.7986 data_time: 0.0372 memory: 10572 loss: 0.5185 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0271 loss_cls: 0.1286 acc: 85.9375 loss_bbox: 0.1736 loss_mask: 0.1753 +2024/01/17 16:29:38 - mmengine - INFO - Epoch(train) [30][4650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:17:44 time: 0.8009 data_time: 0.0311 memory: 10787 loss: 0.4622 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0197 loss_cls: 0.0985 acc: 84.7656 loss_bbox: 0.1601 loss_mask: 0.1722 +2024/01/17 16:30:17 - mmengine - INFO - Epoch(train) [30][4700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:17:04 time: 0.7898 data_time: 0.0317 memory: 10568 loss: 0.5055 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0230 loss_cls: 0.1264 acc: 96.2891 loss_bbox: 0.1724 loss_mask: 0.1708 +2024/01/17 16:30:57 - mmengine - INFO - Epoch(train) [30][4750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:16:24 time: 0.7990 data_time: 0.0264 memory: 9651 loss: 0.4805 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0186 loss_cls: 0.1131 acc: 89.2578 loss_bbox: 0.1614 loss_mask: 0.1802 +2024/01/17 16:31:37 - mmengine - INFO - Epoch(train) [30][4800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:15:45 time: 0.7935 data_time: 0.0356 memory: 10152 loss: 0.5856 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0310 loss_cls: 0.1363 acc: 86.3281 loss_bbox: 0.1938 loss_mask: 0.2063 +2024/01/17 16:32:16 - mmengine - INFO - Epoch(train) [30][4850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:15:05 time: 0.7824 data_time: 0.0313 memory: 10119 loss: 0.4852 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0281 loss_cls: 0.1160 acc: 89.2578 loss_bbox: 0.1598 loss_mask: 0.1681 +2024/01/17 16:32:56 - mmengine - INFO - Epoch(train) [30][4900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:14:25 time: 0.7917 data_time: 0.0293 memory: 10102 loss: 0.4612 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0195 loss_cls: 0.1056 acc: 99.8047 loss_bbox: 0.1611 loss_mask: 0.1636 +2024/01/17 16:33:36 - mmengine - INFO - Epoch(train) [30][4950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:13:45 time: 0.7973 data_time: 0.0326 memory: 10568 loss: 0.5038 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0204 loss_cls: 0.1110 acc: 95.7031 loss_bbox: 0.1796 loss_mask: 0.1840 +2024/01/17 16:34:16 - mmengine - INFO - Epoch(train) [30][5000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:13:06 time: 0.8008 data_time: 0.0305 memory: 10067 loss: 0.4502 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0197 loss_cls: 0.1053 acc: 99.6094 loss_bbox: 0.1470 loss_mask: 0.1663 +2024/01/17 16:34:55 - mmengine - INFO - Epoch(train) [30][5050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:12:26 time: 0.7886 data_time: 0.0323 memory: 9937 loss: 0.5052 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0229 loss_cls: 0.1255 acc: 96.4844 loss_bbox: 0.1746 loss_mask: 0.1722 +2024/01/17 16:35:35 - mmengine - INFO - Epoch(train) [30][5100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:11:46 time: 0.7917 data_time: 0.0296 memory: 10067 loss: 0.4786 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0204 loss_cls: 0.1129 acc: 94.3359 loss_bbox: 0.1620 loss_mask: 0.1737 +2024/01/17 16:36:14 - mmengine - INFO - Epoch(train) [30][5150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:11:06 time: 0.7882 data_time: 0.0347 memory: 10252 loss: 0.5129 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0300 loss_cls: 0.1275 acc: 97.0703 loss_bbox: 0.1698 loss_mask: 0.1665 +2024/01/17 16:36:54 - mmengine - INFO - Epoch(train) [30][5200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:10:27 time: 0.7977 data_time: 0.0424 memory: 10986 loss: 0.6013 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0307 loss_cls: 0.1542 acc: 89.0625 loss_bbox: 0.1996 loss_mask: 0.1959 +2024/01/17 16:37:35 - mmengine - INFO - Epoch(train) [30][5250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:09:47 time: 0.8139 data_time: 0.0403 memory: 10337 loss: 0.5849 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0326 loss_cls: 0.1476 acc: 99.4141 loss_bbox: 0.1998 loss_mask: 0.1892 +2024/01/17 16:38:15 - mmengine - INFO - Epoch(train) [30][5300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:09:07 time: 0.7941 data_time: 0.0330 memory: 10508 loss: 0.4366 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0217 loss_cls: 0.1073 acc: 88.4766 loss_bbox: 0.1446 loss_mask: 0.1522 +2024/01/17 16:38:55 - mmengine - INFO - Epoch(train) [30][5350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:08:28 time: 0.8011 data_time: 0.0338 memory: 10568 loss: 0.5315 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0272 loss_cls: 0.1344 acc: 90.0391 loss_bbox: 0.1809 loss_mask: 0.1720 +2024/01/17 16:39:34 - mmengine - INFO - Epoch(train) [30][5400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:07:48 time: 0.7869 data_time: 0.0319 memory: 9599 loss: 0.4810 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0263 loss_cls: 0.1157 acc: 88.2812 loss_bbox: 0.1637 loss_mask: 0.1606 +2024/01/17 16:39:58 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 16:40:14 - mmengine - INFO - Epoch(train) [30][5450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:07:08 time: 0.7894 data_time: 0.0346 memory: 9736 loss: 0.5069 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0300 loss_cls: 0.1250 acc: 98.4375 loss_bbox: 0.1649 loss_mask: 0.1688 +2024/01/17 16:40:53 - mmengine - INFO - Epoch(train) [30][5500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:06:29 time: 0.7926 data_time: 0.0338 memory: 9743 loss: 0.5808 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0336 loss_cls: 0.1361 acc: 89.4531 loss_bbox: 0.1998 loss_mask: 0.1910 +2024/01/17 16:41:33 - mmengine - INFO - Epoch(train) [30][5550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:05:49 time: 0.7931 data_time: 0.0309 memory: 10572 loss: 0.5155 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0220 loss_cls: 0.1201 acc: 100.0000 loss_bbox: 0.1851 loss_mask: 0.1741 +2024/01/17 16:42:13 - mmengine - INFO - Epoch(train) [30][5600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:05:09 time: 0.7950 data_time: 0.0319 memory: 10067 loss: 0.4457 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0227 loss_cls: 0.1009 acc: 100.0000 loss_bbox: 0.1499 loss_mask: 0.1583 +2024/01/17 16:42:52 - mmengine - INFO - Epoch(train) [30][5650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:04:29 time: 0.7894 data_time: 0.0341 memory: 10390 loss: 0.4606 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0245 loss_cls: 0.1102 acc: 96.0938 loss_bbox: 0.1526 loss_mask: 0.1615 +2024/01/17 16:43:32 - mmengine - INFO - Epoch(train) [30][5700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:03:50 time: 0.7923 data_time: 0.0318 memory: 10645 loss: 0.5482 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0268 loss_cls: 0.1392 acc: 96.2891 loss_bbox: 0.1903 loss_mask: 0.1802 +2024/01/17 16:44:12 - mmengine - INFO - Epoch(train) [30][5750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:03:10 time: 0.7944 data_time: 0.0344 memory: 10139 loss: 0.4683 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0208 loss_cls: 0.1190 acc: 98.8281 loss_bbox: 0.1508 loss_mask: 0.1629 +2024/01/17 16:44:52 - mmengine - INFO - Epoch(train) [30][5800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:02:30 time: 0.7934 data_time: 0.0411 memory: 10207 loss: 0.5988 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0349 loss_cls: 0.1390 acc: 92.7734 loss_bbox: 0.2220 loss_mask: 0.1891 +2024/01/17 16:45:31 - mmengine - INFO - Epoch(train) [30][5850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:01:50 time: 0.7984 data_time: 0.0327 memory: 9800 loss: 0.4623 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0251 loss_cls: 0.1091 acc: 88.4766 loss_bbox: 0.1500 loss_mask: 0.1574 +2024/01/17 16:46:12 - mmengine - INFO - Epoch(train) [30][5900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:01:11 time: 0.8022 data_time: 0.0376 memory: 10572 loss: 0.5082 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0266 loss_cls: 0.1165 acc: 100.0000 loss_bbox: 0.1790 loss_mask: 0.1745 +2024/01/17 16:46:51 - mmengine - INFO - Epoch(train) [30][5950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 10:00:31 time: 0.7936 data_time: 0.0315 memory: 9582 loss: 0.5003 loss_rpn_cls: 0.0060 loss_rpn_bbox: 0.0197 loss_cls: 0.1142 acc: 95.1172 loss_bbox: 0.1823 loss_mask: 0.1781 +2024/01/17 16:47:32 - mmengine - INFO - Epoch(train) [30][6000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:59:52 time: 0.8063 data_time: 0.0334 memory: 10179 loss: 0.5066 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0257 loss_cls: 0.1170 acc: 86.5234 loss_bbox: 0.1661 loss_mask: 0.1779 +2024/01/17 16:48:11 - mmengine - INFO - Epoch(train) [30][6050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:59:12 time: 0.7816 data_time: 0.0359 memory: 9598 loss: 0.5539 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0254 loss_cls: 0.1406 acc: 89.6484 loss_bbox: 0.1886 loss_mask: 0.1850 +2024/01/17 16:48:50 - mmengine - INFO - Epoch(train) [30][6100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:58:32 time: 0.7929 data_time: 0.0338 memory: 10598 loss: 0.5047 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0259 loss_cls: 0.1139 acc: 100.0000 loss_bbox: 0.1805 loss_mask: 0.1760 +2024/01/17 16:49:30 - mmengine - INFO - Epoch(train) [30][6150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:57:52 time: 0.7992 data_time: 0.0379 memory: 10568 loss: 0.5795 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0355 loss_cls: 0.1427 acc: 94.1406 loss_bbox: 0.2016 loss_mask: 0.1860 +2024/01/17 16:50:11 - mmengine - INFO - Epoch(train) [30][6200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:57:13 time: 0.8091 data_time: 0.0343 memory: 9949 loss: 0.5153 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0252 loss_cls: 0.1234 acc: 98.6328 loss_bbox: 0.1802 loss_mask: 0.1727 +2024/01/17 16:50:51 - mmengine - INFO - Epoch(train) [30][6250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:56:33 time: 0.7966 data_time: 0.0376 memory: 10179 loss: 0.5717 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0293 loss_cls: 0.1427 acc: 90.2344 loss_bbox: 0.1928 loss_mask: 0.1878 +2024/01/17 16:51:30 - mmengine - INFO - Epoch(train) [30][6300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:55:53 time: 0.7863 data_time: 0.0313 memory: 10331 loss: 0.4893 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0250 loss_cls: 0.1149 acc: 99.2188 loss_bbox: 0.1611 loss_mask: 0.1740 +2024/01/17 16:52:10 - mmengine - INFO - Epoch(train) [30][6350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:55:13 time: 0.7927 data_time: 0.0350 memory: 9599 loss: 0.5741 loss_rpn_cls: 0.0209 loss_rpn_bbox: 0.0324 loss_cls: 0.1318 acc: 97.4609 loss_bbox: 0.1927 loss_mask: 0.1963 +2024/01/17 16:52:49 - mmengine - INFO - Epoch(train) [30][6400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:54:34 time: 0.7913 data_time: 0.0364 memory: 9601 loss: 0.5198 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0278 loss_cls: 0.1296 acc: 98.2422 loss_bbox: 0.1781 loss_mask: 0.1698 +2024/01/17 16:53:14 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 16:53:30 - mmengine - INFO - Epoch(train) [30][6450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:53:54 time: 0.8027 data_time: 0.0360 memory: 10281 loss: 0.5453 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0280 loss_cls: 0.1333 acc: 84.5703 loss_bbox: 0.1968 loss_mask: 0.1682 +2024/01/17 16:54:09 - mmengine - INFO - Epoch(train) [30][6500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:53:14 time: 0.7921 data_time: 0.0304 memory: 10482 loss: 0.4910 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0251 loss_cls: 0.1175 acc: 95.8984 loss_bbox: 0.1687 loss_mask: 0.1649 +2024/01/17 16:54:49 - mmengine - INFO - Epoch(train) [30][6550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:52:35 time: 0.7956 data_time: 0.0336 memory: 9180 loss: 0.5413 loss_rpn_cls: 0.0228 loss_rpn_bbox: 0.0319 loss_cls: 0.1276 acc: 99.8047 loss_bbox: 0.1863 loss_mask: 0.1727 +2024/01/17 16:55:29 - mmengine - INFO - Epoch(train) [30][6600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:51:55 time: 0.7938 data_time: 0.0321 memory: 10568 loss: 0.4747 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0192 loss_cls: 0.1113 acc: 98.0469 loss_bbox: 0.1539 loss_mask: 0.1785 +2024/01/17 16:56:09 - mmengine - INFO - Epoch(train) [30][6650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:51:15 time: 0.8002 data_time: 0.0350 memory: 9570 loss: 0.4994 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0247 loss_cls: 0.1284 acc: 98.6328 loss_bbox: 0.1618 loss_mask: 0.1681 +2024/01/17 16:56:48 - mmengine - INFO - Epoch(train) [30][6700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:50:36 time: 0.7901 data_time: 0.0324 memory: 9737 loss: 0.4860 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0224 loss_cls: 0.1198 acc: 92.9688 loss_bbox: 0.1649 loss_mask: 0.1653 +2024/01/17 16:57:28 - mmengine - INFO - Epoch(train) [30][6750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:49:56 time: 0.7954 data_time: 0.0329 memory: 9792 loss: 0.5222 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0244 loss_cls: 0.1396 acc: 95.3125 loss_bbox: 0.1743 loss_mask: 0.1724 +2024/01/17 16:58:08 - mmengine - INFO - Epoch(train) [30][6800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:49:16 time: 0.8012 data_time: 0.0398 memory: 10610 loss: 0.5528 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0338 loss_cls: 0.1342 acc: 97.2656 loss_bbox: 0.1906 loss_mask: 0.1827 +2024/01/17 16:58:49 - mmengine - INFO - Epoch(train) [30][6850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:48:37 time: 0.8056 data_time: 0.0319 memory: 10572 loss: 0.4648 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0207 loss_cls: 0.1167 acc: 88.2812 loss_bbox: 0.1568 loss_mask: 0.1618 +2024/01/17 16:59:29 - mmengine - INFO - Epoch(train) [30][6900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:47:57 time: 0.8146 data_time: 0.0290 memory: 10788 loss: 0.4954 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0207 loss_cls: 0.1056 acc: 97.4609 loss_bbox: 0.1612 loss_mask: 0.1957 +2024/01/17 17:00:09 - mmengine - INFO - Epoch(train) [30][6950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:47:17 time: 0.7959 data_time: 0.0383 memory: 10278 loss: 0.5718 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0295 loss_cls: 0.1434 acc: 80.4688 loss_bbox: 0.1977 loss_mask: 0.1817 +2024/01/17 17:00:49 - mmengine - INFO - Epoch(train) [30][7000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:46:38 time: 0.8043 data_time: 0.0339 memory: 10572 loss: 0.4468 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0218 loss_cls: 0.1026 acc: 98.2422 loss_bbox: 0.1455 loss_mask: 0.1609 +2024/01/17 17:01:29 - mmengine - INFO - Epoch(train) [30][7050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:45:58 time: 0.7945 data_time: 0.0358 memory: 10572 loss: 0.5532 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0333 loss_cls: 0.1446 acc: 94.5312 loss_bbox: 0.1843 loss_mask: 0.1744 +2024/01/17 17:02:09 - mmengine - INFO - Epoch(train) [30][7100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:45:18 time: 0.7868 data_time: 0.0365 memory: 10572 loss: 0.5885 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0303 loss_cls: 0.1614 acc: 98.2422 loss_bbox: 0.2088 loss_mask: 0.1715 +2024/01/17 17:02:49 - mmengine - INFO - Epoch(train) [30][7150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:44:39 time: 0.8085 data_time: 0.0303 memory: 10572 loss: 0.4594 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0225 loss_cls: 0.1103 acc: 100.0000 loss_bbox: 0.1479 loss_mask: 0.1647 +2024/01/17 17:03:29 - mmengine - INFO - Epoch(train) [30][7200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:43:59 time: 0.7893 data_time: 0.0343 memory: 10067 loss: 0.5033 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0244 loss_cls: 0.1119 acc: 97.0703 loss_bbox: 0.1792 loss_mask: 0.1755 +2024/01/17 17:04:09 - mmengine - INFO - Epoch(train) [30][7250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:43:19 time: 0.8046 data_time: 0.0338 memory: 10508 loss: 0.5413 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0234 loss_cls: 0.1199 acc: 93.1641 loss_bbox: 0.1882 loss_mask: 0.1989 +2024/01/17 17:04:49 - mmengine - INFO - Epoch(train) [30][7300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:42:40 time: 0.8088 data_time: 0.0347 memory: 10572 loss: 0.5850 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0293 loss_cls: 0.1452 acc: 95.7031 loss_bbox: 0.1960 loss_mask: 0.1995 +2024/01/17 17:05:13 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 17:05:13 - mmengine - INFO - Saving checkpoint at 30 epochs +2024/01/17 17:05:27 - mmengine - INFO - Epoch(val) [30][ 50/313] eta: 0:00:51 time: 0.1942 data_time: 0.0367 memory: 10393 +2024/01/17 17:05:37 - mmengine - INFO - Epoch(val) [30][100/313] eta: 0:00:41 time: 0.1982 data_time: 0.0401 memory: 2388 +2024/01/17 17:05:46 - mmengine - INFO - Epoch(val) [30][150/313] eta: 0:00:31 time: 0.1876 data_time: 0.0336 memory: 2431 +2024/01/17 17:05:56 - mmengine - INFO - Epoch(val) [30][200/313] eta: 0:00:21 time: 0.1913 data_time: 0.0327 memory: 2403 +2024/01/17 17:06:05 - mmengine - INFO - Epoch(val) [30][250/313] eta: 0:00:12 time: 0.1875 data_time: 0.0347 memory: 2431 +2024/01/17 17:06:15 - mmengine - INFO - Epoch(val) [30][300/313] eta: 0:00:02 time: 0.2049 data_time: 0.0482 memory: 2403 +2024/01/17 17:06:22 - mmengine - INFO - Evaluating bbox... +2024/01/17 17:06:45 - mmengine - INFO - bbox_mAP_copypaste: 0.496 0.704 0.540 0.329 0.530 0.655 +2024/01/17 17:06:45 - mmengine - INFO - Evaluating segm... +2024/01/17 17:07:10 - mmengine - INFO - segm_mAP_copypaste: 0.438 0.674 0.471 0.242 0.470 0.627 +2024/01/17 17:07:11 - mmengine - INFO - Epoch(val) [30][313/313] coco/bbox_mAP: 0.4960 coco/bbox_mAP_50: 0.7040 coco/bbox_mAP_75: 0.5400 coco/bbox_mAP_s: 0.3290 coco/bbox_mAP_m: 0.5300 coco/bbox_mAP_l: 0.6550 coco/segm_mAP: 0.4380 coco/segm_mAP_50: 0.6740 coco/segm_mAP_75: 0.4710 coco/segm_mAP_s: 0.2420 coco/segm_mAP_m: 0.4700 coco/segm_mAP_l: 0.6270 data_time: 0.0363 time: 0.1923 +2024/01/17 17:07:53 - mmengine - INFO - Epoch(train) [31][ 50/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:41:37 time: 0.8363 data_time: 0.0367 memory: 9526 loss: 0.4837 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0233 loss_cls: 0.1117 acc: 99.6094 loss_bbox: 0.1647 loss_mask: 0.1729 +2024/01/17 17:08:32 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 17:08:32 - mmengine - INFO - Epoch(train) [31][ 100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:40:57 time: 0.7806 data_time: 0.0351 memory: 10067 loss: 0.5850 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0304 loss_cls: 0.1353 acc: 95.1172 loss_bbox: 0.1976 loss_mask: 0.2034 +2024/01/17 17:09:12 - mmengine - INFO - Epoch(train) [31][ 150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:40:17 time: 0.7940 data_time: 0.0362 memory: 10145 loss: 0.5294 loss_rpn_cls: 0.0272 loss_rpn_bbox: 0.0314 loss_cls: 0.1360 acc: 82.8125 loss_bbox: 0.1609 loss_mask: 0.1739 +2024/01/17 17:09:52 - mmengine - INFO - Epoch(train) [31][ 200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:39:37 time: 0.7982 data_time: 0.0319 memory: 10067 loss: 0.5044 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0250 loss_cls: 0.1226 acc: 93.9453 loss_bbox: 0.1680 loss_mask: 0.1767 +2024/01/17 17:10:32 - mmengine - INFO - Epoch(train) [31][ 250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:38:58 time: 0.8116 data_time: 0.0332 memory: 10327 loss: 0.5557 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0296 loss_cls: 0.1327 acc: 80.8594 loss_bbox: 0.1920 loss_mask: 0.1853 +2024/01/17 17:11:13 - mmengine - INFO - Epoch(train) [31][ 300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:38:18 time: 0.8064 data_time: 0.0314 memory: 10167 loss: 0.4772 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0231 loss_cls: 0.1099 acc: 92.7734 loss_bbox: 0.1520 loss_mask: 0.1708 +2024/01/17 17:11:53 - mmengine - INFO - Epoch(train) [31][ 350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:37:39 time: 0.8081 data_time: 0.0367 memory: 10067 loss: 0.4654 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0222 loss_cls: 0.1067 acc: 96.0938 loss_bbox: 0.1596 loss_mask: 0.1564 +2024/01/17 17:12:32 - mmengine - INFO - Epoch(train) [31][ 400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:36:59 time: 0.7868 data_time: 0.0304 memory: 10239 loss: 0.4944 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0221 loss_cls: 0.1299 acc: 100.0000 loss_bbox: 0.1677 loss_mask: 0.1639 +2024/01/17 17:13:12 - mmengine - INFO - Epoch(train) [31][ 450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:36:19 time: 0.7964 data_time: 0.0313 memory: 10572 loss: 0.4928 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0231 loss_cls: 0.1221 acc: 100.0000 loss_bbox: 0.1627 loss_mask: 0.1726 +2024/01/17 17:13:52 - mmengine - INFO - Epoch(train) [31][ 500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:35:39 time: 0.7977 data_time: 0.0330 memory: 9459 loss: 0.5096 loss_rpn_cls: 0.0216 loss_rpn_bbox: 0.0273 loss_cls: 0.1226 acc: 89.8438 loss_bbox: 0.1686 loss_mask: 0.1695 +2024/01/17 17:14:33 - mmengine - INFO - Epoch(train) [31][ 550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:35:00 time: 0.8125 data_time: 0.0343 memory: 9733 loss: 0.4879 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0272 loss_cls: 0.1142 acc: 99.0234 loss_bbox: 0.1693 loss_mask: 0.1591 +2024/01/17 17:15:13 - mmengine - INFO - Epoch(train) [31][ 600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:34:20 time: 0.7997 data_time: 0.0372 memory: 10508 loss: 0.6138 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0284 loss_cls: 0.1584 acc: 98.6328 loss_bbox: 0.2021 loss_mask: 0.2105 +2024/01/17 17:15:52 - mmengine - INFO - Epoch(train) [31][ 650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:33:40 time: 0.7843 data_time: 0.0299 memory: 10067 loss: 0.4361 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0177 loss_cls: 0.0935 acc: 96.8750 loss_bbox: 0.1495 loss_mask: 0.1690 +2024/01/17 17:16:33 - mmengine - INFO - Epoch(train) [31][ 700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:33:01 time: 0.8088 data_time: 0.0415 memory: 9459 loss: 0.5570 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0307 loss_cls: 0.1496 acc: 97.4609 loss_bbox: 0.1854 loss_mask: 0.1731 +2024/01/17 17:17:12 - mmengine - INFO - Epoch(train) [31][ 750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:32:21 time: 0.7882 data_time: 0.0400 memory: 10758 loss: 0.5485 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0315 loss_cls: 0.1335 acc: 92.7734 loss_bbox: 0.1928 loss_mask: 0.1799 +2024/01/17 17:17:52 - mmengine - INFO - Epoch(train) [31][ 800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:31:41 time: 0.8054 data_time: 0.0349 memory: 10207 loss: 0.5376 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0281 loss_cls: 0.1309 acc: 93.5547 loss_bbox: 0.1817 loss_mask: 0.1774 +2024/01/17 17:18:32 - mmengine - INFO - Epoch(train) [31][ 850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:31:02 time: 0.7859 data_time: 0.0342 memory: 11098 loss: 0.5276 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0252 loss_cls: 0.1408 acc: 83.9844 loss_bbox: 0.1852 loss_mask: 0.1613 +2024/01/17 17:19:11 - mmengine - INFO - Epoch(train) [31][ 900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:30:22 time: 0.7960 data_time: 0.0335 memory: 10077 loss: 0.5163 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0237 loss_cls: 0.1318 acc: 84.7656 loss_bbox: 0.1816 loss_mask: 0.1685 +2024/01/17 17:19:51 - mmengine - INFO - Epoch(train) [31][ 950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:29:42 time: 0.7870 data_time: 0.0319 memory: 9459 loss: 0.5494 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0337 loss_cls: 0.1434 acc: 98.8281 loss_bbox: 0.1892 loss_mask: 0.1694 +2024/01/17 17:20:32 - mmengine - INFO - Epoch(train) [31][1000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:29:03 time: 0.8200 data_time: 0.0350 memory: 10067 loss: 0.4948 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0275 loss_cls: 0.1240 acc: 99.0234 loss_bbox: 0.1711 loss_mask: 0.1595 +2024/01/17 17:21:12 - mmengine - INFO - Epoch(train) [31][1050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:28:23 time: 0.8012 data_time: 0.0283 memory: 10067 loss: 0.3408 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0144 loss_cls: 0.0720 acc: 97.6562 loss_bbox: 0.1031 loss_mask: 0.1420 +2024/01/17 17:21:52 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 17:21:52 - mmengine - INFO - Epoch(train) [31][1100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:27:43 time: 0.7936 data_time: 0.0380 memory: 10944 loss: 0.6074 loss_rpn_cls: 0.0244 loss_rpn_bbox: 0.0306 loss_cls: 0.1474 acc: 86.5234 loss_bbox: 0.2069 loss_mask: 0.1981 +2024/01/17 17:22:31 - mmengine - INFO - Epoch(train) [31][1150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:27:03 time: 0.7924 data_time: 0.0349 memory: 10645 loss: 0.5733 loss_rpn_cls: 0.0222 loss_rpn_bbox: 0.0317 loss_cls: 0.1371 acc: 99.2188 loss_bbox: 0.1936 loss_mask: 0.1888 +2024/01/17 17:23:12 - mmengine - INFO - Epoch(train) [31][1200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:26:24 time: 0.8039 data_time: 0.0285 memory: 10787 loss: 0.4547 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0230 loss_cls: 0.1069 acc: 97.8516 loss_bbox: 0.1487 loss_mask: 0.1601 +2024/01/17 17:23:52 - mmengine - INFO - Epoch(train) [31][1250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:25:44 time: 0.7981 data_time: 0.0346 memory: 10067 loss: 0.4974 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0243 loss_cls: 0.1210 acc: 99.0234 loss_bbox: 0.1573 loss_mask: 0.1775 +2024/01/17 17:24:33 - mmengine - INFO - Epoch(train) [31][1300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:25:05 time: 0.8258 data_time: 0.0334 memory: 10605 loss: 0.5622 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0309 loss_cls: 0.1328 acc: 98.8281 loss_bbox: 0.2032 loss_mask: 0.1832 +2024/01/17 17:25:13 - mmengine - INFO - Epoch(train) [31][1350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:24:25 time: 0.8004 data_time: 0.0370 memory: 9177 loss: 0.5329 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0255 loss_cls: 0.1367 acc: 92.7734 loss_bbox: 0.1802 loss_mask: 0.1742 +2024/01/17 17:25:53 - mmengine - INFO - Epoch(train) [31][1400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:23:45 time: 0.8016 data_time: 0.0348 memory: 11120 loss: 0.5551 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0275 loss_cls: 0.1373 acc: 95.5078 loss_bbox: 0.1944 loss_mask: 0.1821 +2024/01/17 17:26:32 - mmengine - INFO - Epoch(train) [31][1450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:23:06 time: 0.7858 data_time: 0.0374 memory: 9884 loss: 0.4832 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0245 loss_cls: 0.1207 acc: 91.9922 loss_bbox: 0.1651 loss_mask: 0.1559 +2024/01/17 17:27:13 - mmengine - INFO - Epoch(train) [31][1500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:22:26 time: 0.8037 data_time: 0.0381 memory: 9601 loss: 0.5446 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0360 loss_cls: 0.1339 acc: 95.5078 loss_bbox: 0.1849 loss_mask: 0.1720 +2024/01/17 17:27:52 - mmengine - INFO - Epoch(train) [31][1550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:21:46 time: 0.7918 data_time: 0.0294 memory: 10508 loss: 0.3953 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0136 loss_cls: 0.0979 acc: 98.0469 loss_bbox: 0.1294 loss_mask: 0.1457 +2024/01/17 17:28:32 - mmengine - INFO - Epoch(train) [31][1600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:21:07 time: 0.7984 data_time: 0.0286 memory: 10572 loss: 0.4316 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0238 loss_cls: 0.1001 acc: 98.6328 loss_bbox: 0.1397 loss_mask: 0.1588 +2024/01/17 17:29:13 - mmengine - INFO - Epoch(train) [31][1650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:20:27 time: 0.8168 data_time: 0.0379 memory: 9746 loss: 0.6285 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0340 loss_cls: 0.1536 acc: 87.5000 loss_bbox: 0.2127 loss_mask: 0.2040 +2024/01/17 17:29:53 - mmengine - INFO - Epoch(train) [31][1700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:19:47 time: 0.7979 data_time: 0.0333 memory: 10539 loss: 0.4978 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0243 loss_cls: 0.1139 acc: 97.2656 loss_bbox: 0.1684 loss_mask: 0.1772 +2024/01/17 17:30:32 - mmengine - INFO - Epoch(train) [31][1750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:19:08 time: 0.7873 data_time: 0.0329 memory: 10405 loss: 0.6215 loss_rpn_cls: 0.0219 loss_rpn_bbox: 0.0352 loss_cls: 0.1466 acc: 100.0000 loss_bbox: 0.2122 loss_mask: 0.2056 +2024/01/17 17:31:12 - mmengine - INFO - Epoch(train) [31][1800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:18:28 time: 0.7856 data_time: 0.0275 memory: 10067 loss: 0.4487 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0157 loss_cls: 0.0993 acc: 99.4141 loss_bbox: 0.1494 loss_mask: 0.1724 +2024/01/17 17:31:50 - mmengine - INFO - Epoch(train) [31][1850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:17:48 time: 0.7738 data_time: 0.0370 memory: 10198 loss: 0.6076 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0325 loss_cls: 0.1544 acc: 88.8672 loss_bbox: 0.2086 loss_mask: 0.1976 +2024/01/17 17:32:30 - mmengine - INFO - Epoch(train) [31][1900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:17:08 time: 0.7973 data_time: 0.0357 memory: 10146 loss: 0.5498 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0320 loss_cls: 0.1344 acc: 97.4609 loss_bbox: 0.1873 loss_mask: 0.1788 +2024/01/17 17:33:10 - mmengine - INFO - Epoch(train) [31][1950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:16:28 time: 0.7962 data_time: 0.0353 memory: 10872 loss: 0.6006 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0376 loss_cls: 0.1389 acc: 91.9922 loss_bbox: 0.2087 loss_mask: 0.1954 +2024/01/17 17:33:50 - mmengine - INFO - Epoch(train) [31][2000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:15:49 time: 0.7908 data_time: 0.0327 memory: 10572 loss: 0.5164 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0236 loss_cls: 0.1353 acc: 96.8750 loss_bbox: 0.1735 loss_mask: 0.1688 +2024/01/17 17:34:30 - mmengine - INFO - Epoch(train) [31][2050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:15:09 time: 0.8045 data_time: 0.0322 memory: 10034 loss: 0.5352 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0296 loss_cls: 0.1199 acc: 91.4062 loss_bbox: 0.1828 loss_mask: 0.1894 +2024/01/17 17:35:11 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 17:35:11 - mmengine - INFO - Epoch(train) [31][2100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:14:30 time: 0.8113 data_time: 0.0345 memory: 9949 loss: 0.5018 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0235 loss_cls: 0.1226 acc: 92.3828 loss_bbox: 0.1682 loss_mask: 0.1684 +2024/01/17 17:35:51 - mmengine - INFO - Epoch(train) [31][2150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:13:50 time: 0.8125 data_time: 0.0324 memory: 10508 loss: 0.5304 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0275 loss_cls: 0.1349 acc: 97.4609 loss_bbox: 0.1730 loss_mask: 0.1798 +2024/01/17 17:36:31 - mmengine - INFO - Epoch(train) [31][2200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:13:10 time: 0.7958 data_time: 0.0359 memory: 11102 loss: 0.5432 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0278 loss_cls: 0.1326 acc: 99.2188 loss_bbox: 0.1921 loss_mask: 0.1744 +2024/01/17 17:37:11 - mmengine - INFO - Epoch(train) [31][2250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:12:31 time: 0.7976 data_time: 0.0382 memory: 10278 loss: 0.5328 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0325 loss_cls: 0.1272 acc: 89.2578 loss_bbox: 0.1837 loss_mask: 0.1717 +2024/01/17 17:37:51 - mmengine - INFO - Epoch(train) [31][2300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:11:51 time: 0.7972 data_time: 0.0329 memory: 10284 loss: 0.5880 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0277 loss_cls: 0.1327 acc: 99.8047 loss_bbox: 0.1955 loss_mask: 0.2171 +2024/01/17 17:38:31 - mmengine - INFO - Epoch(train) [31][2350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:11:11 time: 0.8072 data_time: 0.0327 memory: 9949 loss: 0.5161 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0241 loss_cls: 0.1202 acc: 99.2188 loss_bbox: 0.1812 loss_mask: 0.1777 +2024/01/17 17:39:11 - mmengine - INFO - Epoch(train) [31][2400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:10:32 time: 0.8014 data_time: 0.0369 memory: 9628 loss: 0.5128 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0285 loss_cls: 0.1257 acc: 84.9609 loss_bbox: 0.1711 loss_mask: 0.1719 +2024/01/17 17:39:52 - mmengine - INFO - Epoch(train) [31][2450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:09:52 time: 0.8065 data_time: 0.0366 memory: 10572 loss: 0.6085 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0337 loss_cls: 0.1452 acc: 98.6328 loss_bbox: 0.2187 loss_mask: 0.1913 +2024/01/17 17:40:32 - mmengine - INFO - Epoch(train) [31][2500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:09:12 time: 0.7957 data_time: 0.0317 memory: 9601 loss: 0.4480 loss_rpn_cls: 0.0080 loss_rpn_bbox: 0.0241 loss_cls: 0.1089 acc: 97.4609 loss_bbox: 0.1497 loss_mask: 0.1573 +2024/01/17 17:41:11 - mmengine - INFO - Epoch(train) [31][2550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:08:33 time: 0.7875 data_time: 0.0384 memory: 10679 loss: 0.5032 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0269 loss_cls: 0.1251 acc: 99.0234 loss_bbox: 0.1712 loss_mask: 0.1686 +2024/01/17 17:41:52 - mmengine - INFO - Epoch(train) [31][2600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:07:53 time: 0.8135 data_time: 0.0297 memory: 10067 loss: 0.4537 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0205 loss_cls: 0.1077 acc: 95.8984 loss_bbox: 0.1582 loss_mask: 0.1558 +2024/01/17 17:42:31 - mmengine - INFO - Epoch(train) [31][2650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:07:13 time: 0.7937 data_time: 0.0312 memory: 11514 loss: 0.4478 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0201 loss_cls: 0.0971 acc: 94.5312 loss_bbox: 0.1507 loss_mask: 0.1699 +2024/01/17 17:43:12 - mmengine - INFO - Epoch(train) [31][2700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:06:34 time: 0.7995 data_time: 0.0342 memory: 10788 loss: 0.4747 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0202 loss_cls: 0.1210 acc: 98.4375 loss_bbox: 0.1486 loss_mask: 0.1702 +2024/01/17 17:43:52 - mmengine - INFO - Epoch(train) [31][2750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:05:54 time: 0.8016 data_time: 0.0303 memory: 10466 loss: 0.5270 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0289 loss_cls: 0.1254 acc: 99.0234 loss_bbox: 0.1863 loss_mask: 0.1722 +2024/01/17 17:44:31 - mmengine - INFO - Epoch(train) [31][2800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:05:14 time: 0.7953 data_time: 0.0351 memory: 10572 loss: 0.5412 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0307 loss_cls: 0.1243 acc: 98.8281 loss_bbox: 0.1785 loss_mask: 0.1898 +2024/01/17 17:45:11 - mmengine - INFO - Epoch(train) [31][2850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:04:35 time: 0.8003 data_time: 0.0332 memory: 10572 loss: 0.5177 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0317 loss_cls: 0.1274 acc: 99.0234 loss_bbox: 0.1771 loss_mask: 0.1680 +2024/01/17 17:45:52 - mmengine - INFO - Epoch(train) [31][2900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:03:55 time: 0.8054 data_time: 0.0323 memory: 9632 loss: 0.4859 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0202 loss_cls: 0.1105 acc: 91.0156 loss_bbox: 0.1675 loss_mask: 0.1760 +2024/01/17 17:46:32 - mmengine - INFO - Epoch(train) [31][2950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:03:15 time: 0.7980 data_time: 0.0318 memory: 9418 loss: 0.5005 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0246 loss_cls: 0.1077 acc: 91.0156 loss_bbox: 0.1778 loss_mask: 0.1768 +2024/01/17 17:47:12 - mmengine - INFO - Epoch(train) [31][3000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:02:36 time: 0.8086 data_time: 0.0304 memory: 10572 loss: 0.4669 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0201 loss_cls: 0.1140 acc: 96.4844 loss_bbox: 0.1614 loss_mask: 0.1576 +2024/01/17 17:47:52 - mmengine - INFO - Epoch(train) [31][3050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:01:56 time: 0.7872 data_time: 0.0356 memory: 10572 loss: 0.4962 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0261 loss_cls: 0.1138 acc: 86.3281 loss_bbox: 0.1727 loss_mask: 0.1670 +2024/01/17 17:48:31 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 17:48:31 - mmengine - INFO - Epoch(train) [31][3100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:01:16 time: 0.7887 data_time: 0.0311 memory: 10582 loss: 0.4382 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0203 loss_cls: 0.0948 acc: 88.2812 loss_bbox: 0.1473 loss_mask: 0.1630 +2024/01/17 17:49:11 - mmengine - INFO - Epoch(train) [31][3150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 9:00:36 time: 0.8007 data_time: 0.0334 memory: 11102 loss: 0.5360 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0377 loss_cls: 0.1276 acc: 88.2812 loss_bbox: 0.1748 loss_mask: 0.1760 +2024/01/17 17:49:51 - mmengine - INFO - Epoch(train) [31][3200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:59:57 time: 0.8064 data_time: 0.0347 memory: 10476 loss: 0.4566 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0241 loss_cls: 0.1071 acc: 98.4375 loss_bbox: 0.1468 loss_mask: 0.1672 +2024/01/17 17:50:32 - mmengine - INFO - Epoch(train) [31][3250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:59:17 time: 0.8031 data_time: 0.0389 memory: 10572 loss: 0.5056 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0256 loss_cls: 0.1388 acc: 91.2109 loss_bbox: 0.1683 loss_mask: 0.1586 +2024/01/17 17:51:12 - mmengine - INFO - Epoch(train) [31][3300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:58:37 time: 0.7993 data_time: 0.0309 memory: 9240 loss: 0.4814 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0220 loss_cls: 0.1140 acc: 97.4609 loss_bbox: 0.1548 loss_mask: 0.1815 +2024/01/17 17:51:52 - mmengine - INFO - Epoch(train) [31][3350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:57:58 time: 0.8064 data_time: 0.0362 memory: 10394 loss: 0.5466 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0293 loss_cls: 0.1336 acc: 92.3828 loss_bbox: 0.1882 loss_mask: 0.1808 +2024/01/17 17:52:32 - mmengine - INFO - Epoch(train) [31][3400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:57:18 time: 0.7965 data_time: 0.0332 memory: 8824 loss: 0.5572 loss_rpn_cls: 0.0196 loss_rpn_bbox: 0.0331 loss_cls: 0.1321 acc: 92.5781 loss_bbox: 0.1880 loss_mask: 0.1843 +2024/01/17 17:53:12 - mmengine - INFO - Epoch(train) [31][3450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:56:38 time: 0.7956 data_time: 0.0336 memory: 10572 loss: 0.4848 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0299 loss_cls: 0.1134 acc: 99.8047 loss_bbox: 0.1613 loss_mask: 0.1621 +2024/01/17 17:53:51 - mmengine - INFO - Epoch(train) [31][3500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:55:59 time: 0.7926 data_time: 0.0331 memory: 10082 loss: 0.5270 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0253 loss_cls: 0.1231 acc: 95.7031 loss_bbox: 0.1746 loss_mask: 0.1904 +2024/01/17 17:54:31 - mmengine - INFO - Epoch(train) [31][3550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:55:19 time: 0.7935 data_time: 0.0392 memory: 10516 loss: 0.5781 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0313 loss_cls: 0.1514 acc: 92.3828 loss_bbox: 0.2011 loss_mask: 0.1778 +2024/01/17 17:55:11 - mmengine - INFO - Epoch(train) [31][3600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:54:39 time: 0.7986 data_time: 0.0355 memory: 10402 loss: 0.4756 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0202 loss_cls: 0.1190 acc: 87.1094 loss_bbox: 0.1539 loss_mask: 0.1622 +2024/01/17 17:55:49 - mmengine - INFO - Epoch(train) [31][3650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:53:59 time: 0.7640 data_time: 0.0291 memory: 9734 loss: 0.4843 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0247 loss_cls: 0.1193 acc: 97.4609 loss_bbox: 0.1644 loss_mask: 0.1636 +2024/01/17 17:56:29 - mmengine - INFO - Epoch(train) [31][3700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:53:20 time: 0.7951 data_time: 0.0281 memory: 10789 loss: 0.4937 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0191 loss_cls: 0.1214 acc: 92.7734 loss_bbox: 0.1610 loss_mask: 0.1759 +2024/01/17 17:57:09 - mmengine - INFO - Epoch(train) [31][3750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:52:40 time: 0.7992 data_time: 0.0337 memory: 10572 loss: 0.5087 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0256 loss_cls: 0.1193 acc: 97.4609 loss_bbox: 0.1638 loss_mask: 0.1873 +2024/01/17 17:57:49 - mmengine - INFO - Epoch(train) [31][3800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:52:00 time: 0.7960 data_time: 0.0345 memory: 10986 loss: 0.4861 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0248 loss_cls: 0.1144 acc: 88.8672 loss_bbox: 0.1682 loss_mask: 0.1659 +2024/01/17 17:58:28 - mmengine - INFO - Epoch(train) [31][3850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:51:20 time: 0.7894 data_time: 0.0310 memory: 10711 loss: 0.4658 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0217 loss_cls: 0.1174 acc: 94.9219 loss_bbox: 0.1386 loss_mask: 0.1730 +2024/01/17 17:59:08 - mmengine - INFO - Epoch(train) [31][3900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:50:41 time: 0.7991 data_time: 0.0376 memory: 10571 loss: 0.5865 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0308 loss_cls: 0.1344 acc: 96.0938 loss_bbox: 0.2003 loss_mask: 0.2041 +2024/01/17 17:59:49 - mmengine - INFO - Epoch(train) [31][3950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:50:01 time: 0.8042 data_time: 0.0302 memory: 9508 loss: 0.4428 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0232 loss_cls: 0.1000 acc: 96.0938 loss_bbox: 0.1503 loss_mask: 0.1576 +2024/01/17 18:00:29 - mmengine - INFO - Epoch(train) [31][4000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:49:21 time: 0.7980 data_time: 0.0318 memory: 10295 loss: 0.5107 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0239 loss_cls: 0.1182 acc: 98.4375 loss_bbox: 0.1736 loss_mask: 0.1851 +2024/01/17 18:01:09 - mmengine - INFO - Epoch(train) [31][4050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:48:42 time: 0.7990 data_time: 0.0386 memory: 10572 loss: 0.5185 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0259 loss_cls: 0.1282 acc: 95.8984 loss_bbox: 0.1736 loss_mask: 0.1797 +2024/01/17 18:01:49 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 18:01:49 - mmengine - INFO - Epoch(train) [31][4100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:48:02 time: 0.8091 data_time: 0.0373 memory: 10067 loss: 0.5458 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0337 loss_cls: 0.1405 acc: 93.7500 loss_bbox: 0.1838 loss_mask: 0.1678 +2024/01/17 18:02:29 - mmengine - INFO - Epoch(train) [31][4150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:47:22 time: 0.7981 data_time: 0.0341 memory: 10209 loss: 0.5787 loss_rpn_cls: 0.0210 loss_rpn_bbox: 0.0288 loss_cls: 0.1405 acc: 99.0234 loss_bbox: 0.1880 loss_mask: 0.2004 +2024/01/17 18:03:09 - mmengine - INFO - Epoch(train) [31][4200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:46:43 time: 0.8038 data_time: 0.0294 memory: 9947 loss: 0.4939 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0214 loss_cls: 0.1177 acc: 99.2188 loss_bbox: 0.1671 loss_mask: 0.1766 +2024/01/17 18:03:49 - mmengine - INFO - Epoch(train) [31][4250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:46:03 time: 0.7888 data_time: 0.0345 memory: 10582 loss: 0.5878 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0315 loss_cls: 0.1458 acc: 98.0469 loss_bbox: 0.2079 loss_mask: 0.1896 +2024/01/17 18:04:28 - mmengine - INFO - Epoch(train) [31][4300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:45:23 time: 0.7877 data_time: 0.0243 memory: 9816 loss: 0.3534 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0106 loss_cls: 0.0851 acc: 98.2422 loss_bbox: 0.1120 loss_mask: 0.1388 +2024/01/17 18:05:08 - mmengine - INFO - Epoch(train) [31][4350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:44:44 time: 0.8018 data_time: 0.0323 memory: 9450 loss: 0.5754 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0360 loss_cls: 0.1472 acc: 96.8750 loss_bbox: 0.1979 loss_mask: 0.1820 +2024/01/17 18:05:49 - mmengine - INFO - Epoch(train) [31][4400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:44:04 time: 0.8081 data_time: 0.0307 memory: 10120 loss: 0.4762 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0229 loss_cls: 0.1195 acc: 92.3828 loss_bbox: 0.1637 loss_mask: 0.1605 +2024/01/17 18:06:29 - mmengine - INFO - Epoch(train) [31][4450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:43:24 time: 0.7968 data_time: 0.0368 memory: 9580 loss: 0.4677 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0220 loss_cls: 0.1118 acc: 96.6797 loss_bbox: 0.1585 loss_mask: 0.1634 +2024/01/17 18:07:08 - mmengine - INFO - Epoch(train) [31][4500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:42:45 time: 0.7904 data_time: 0.0310 memory: 9253 loss: 0.4561 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0233 loss_cls: 0.0998 acc: 93.7500 loss_bbox: 0.1490 loss_mask: 0.1651 +2024/01/17 18:07:49 - mmengine - INFO - Epoch(train) [31][4550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:42:05 time: 0.8060 data_time: 0.0344 memory: 10442 loss: 0.5008 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0245 loss_cls: 0.1221 acc: 86.9141 loss_bbox: 0.1695 loss_mask: 0.1675 +2024/01/17 18:08:30 - mmengine - INFO - Epoch(train) [31][4600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:41:26 time: 0.8325 data_time: 0.0324 memory: 11019 loss: 0.4458 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0186 loss_cls: 0.1016 acc: 91.9922 loss_bbox: 0.1418 loss_mask: 0.1760 +2024/01/17 18:09:09 - mmengine - INFO - Epoch(train) [31][4650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:40:46 time: 0.7735 data_time: 0.0328 memory: 9629 loss: 0.4661 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0207 loss_cls: 0.1142 acc: 96.0938 loss_bbox: 0.1600 loss_mask: 0.1605 +2024/01/17 18:09:49 - mmengine - INFO - Epoch(train) [31][4700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:40:06 time: 0.7999 data_time: 0.0343 memory: 10572 loss: 0.5492 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0300 loss_cls: 0.1360 acc: 87.6953 loss_bbox: 0.1873 loss_mask: 0.1820 +2024/01/17 18:10:28 - mmengine - INFO - Epoch(train) [31][4750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:39:26 time: 0.7831 data_time: 0.0347 memory: 10364 loss: 0.5563 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0319 loss_cls: 0.1339 acc: 88.8672 loss_bbox: 0.1886 loss_mask: 0.1857 +2024/01/17 18:11:07 - mmengine - INFO - Epoch(train) [31][4800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:38:46 time: 0.7846 data_time: 0.0345 memory: 10572 loss: 0.4835 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0275 loss_cls: 0.1208 acc: 99.6094 loss_bbox: 0.1627 loss_mask: 0.1550 +2024/01/17 18:11:48 - mmengine - INFO - Epoch(train) [31][4850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:38:07 time: 0.8053 data_time: 0.0382 memory: 11102 loss: 0.5370 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0311 loss_cls: 0.1347 acc: 89.4531 loss_bbox: 0.1924 loss_mask: 0.1658 +2024/01/17 18:12:28 - mmengine - INFO - Epoch(train) [31][4900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:37:27 time: 0.8068 data_time: 0.0348 memory: 10489 loss: 0.4063 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0239 loss_cls: 0.0802 acc: 97.0703 loss_bbox: 0.1266 loss_mask: 0.1667 +2024/01/17 18:13:09 - mmengine - INFO - Epoch(train) [31][4950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:36:47 time: 0.8094 data_time: 0.0352 memory: 9734 loss: 0.5387 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0231 loss_cls: 0.1354 acc: 96.0938 loss_bbox: 0.1935 loss_mask: 0.1729 +2024/01/17 18:13:50 - mmengine - INFO - Epoch(train) [31][5000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:36:08 time: 0.8252 data_time: 0.0357 memory: 9520 loss: 0.5461 loss_rpn_cls: 0.0273 loss_rpn_bbox: 0.0297 loss_cls: 0.1292 acc: 92.1875 loss_bbox: 0.1896 loss_mask: 0.1702 +2024/01/17 18:14:30 - mmengine - INFO - Epoch(train) [31][5050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:35:28 time: 0.7962 data_time: 0.0356 memory: 10583 loss: 0.5558 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0265 loss_cls: 0.1358 acc: 95.5078 loss_bbox: 0.1921 loss_mask: 0.1878 +2024/01/17 18:15:10 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 18:15:10 - mmengine - INFO - Epoch(train) [31][5100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:34:49 time: 0.7988 data_time: 0.0311 memory: 10508 loss: 0.4466 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0194 loss_cls: 0.1064 acc: 99.6094 loss_bbox: 0.1456 loss_mask: 0.1638 +2024/01/17 18:15:49 - mmengine - INFO - Epoch(train) [31][5150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:34:09 time: 0.7874 data_time: 0.0357 memory: 10493 loss: 0.5242 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0288 loss_cls: 0.1292 acc: 99.0234 loss_bbox: 0.1721 loss_mask: 0.1832 +2024/01/17 18:16:29 - mmengine - INFO - Epoch(train) [31][5200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:33:29 time: 0.7955 data_time: 0.0342 memory: 10568 loss: 0.5428 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0271 loss_cls: 0.1313 acc: 89.4531 loss_bbox: 0.1838 loss_mask: 0.1900 +2024/01/17 18:17:09 - mmengine - INFO - Epoch(train) [31][5250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:32:49 time: 0.8040 data_time: 0.0308 memory: 10549 loss: 0.5763 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0260 loss_cls: 0.1481 acc: 98.0469 loss_bbox: 0.1942 loss_mask: 0.1912 +2024/01/17 18:17:49 - mmengine - INFO - Epoch(train) [31][5300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:32:10 time: 0.8025 data_time: 0.0310 memory: 10789 loss: 0.5226 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0264 loss_cls: 0.1227 acc: 98.8281 loss_bbox: 0.1698 loss_mask: 0.1857 +2024/01/17 18:18:30 - mmengine - INFO - Epoch(train) [31][5350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:31:30 time: 0.8064 data_time: 0.0352 memory: 10665 loss: 0.4882 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0286 loss_cls: 0.1228 acc: 92.7734 loss_bbox: 0.1663 loss_mask: 0.1573 +2024/01/17 18:19:10 - mmengine - INFO - Epoch(train) [31][5400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:30:51 time: 0.8058 data_time: 0.0314 memory: 10513 loss: 0.4961 loss_rpn_cls: 0.0203 loss_rpn_bbox: 0.0235 loss_cls: 0.1140 acc: 91.0156 loss_bbox: 0.1600 loss_mask: 0.1784 +2024/01/17 18:19:50 - mmengine - INFO - Epoch(train) [31][5450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:30:11 time: 0.7892 data_time: 0.0337 memory: 9694 loss: 0.5039 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0256 loss_cls: 0.1259 acc: 92.3828 loss_bbox: 0.1711 loss_mask: 0.1696 +2024/01/17 18:20:29 - mmengine - INFO - Epoch(train) [31][5500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:29:31 time: 0.7950 data_time: 0.0352 memory: 10405 loss: 0.5794 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0287 loss_cls: 0.1570 acc: 94.7266 loss_bbox: 0.2003 loss_mask: 0.1748 +2024/01/17 18:21:09 - mmengine - INFO - Epoch(train) [31][5550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:28:51 time: 0.7897 data_time: 0.0292 memory: 10133 loss: 0.4572 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0220 loss_cls: 0.1058 acc: 90.8203 loss_bbox: 0.1548 loss_mask: 0.1633 +2024/01/17 18:21:48 - mmengine - INFO - Epoch(train) [31][5600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:28:12 time: 0.7907 data_time: 0.0302 memory: 10568 loss: 0.4548 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0222 loss_cls: 0.1067 acc: 99.2188 loss_bbox: 0.1544 loss_mask: 0.1608 +2024/01/17 18:22:29 - mmengine - INFO - Epoch(train) [31][5650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:27:32 time: 0.8107 data_time: 0.0392 memory: 10572 loss: 0.5031 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0345 loss_cls: 0.1083 acc: 87.5000 loss_bbox: 0.1636 loss_mask: 0.1768 +2024/01/17 18:23:10 - mmengine - INFO - Epoch(train) [31][5700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:26:53 time: 0.8220 data_time: 0.0312 memory: 10568 loss: 0.4602 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0199 loss_cls: 0.1103 acc: 94.1406 loss_bbox: 0.1672 loss_mask: 0.1522 +2024/01/17 18:23:49 - mmengine - INFO - Epoch(train) [31][5750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:26:13 time: 0.7802 data_time: 0.0329 memory: 10067 loss: 0.5887 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0319 loss_cls: 0.1368 acc: 95.3125 loss_bbox: 0.2107 loss_mask: 0.1937 +2024/01/17 18:24:29 - mmengine - INFO - Epoch(train) [31][5800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:25:33 time: 0.7894 data_time: 0.0341 memory: 10572 loss: 0.4837 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0247 loss_cls: 0.1148 acc: 88.8672 loss_bbox: 0.1643 loss_mask: 0.1677 +2024/01/17 18:25:08 - mmengine - INFO - Epoch(train) [31][5850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:24:53 time: 0.7918 data_time: 0.0368 memory: 10067 loss: 0.5611 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0296 loss_cls: 0.1393 acc: 99.6094 loss_bbox: 0.1977 loss_mask: 0.1789 +2024/01/17 18:25:48 - mmengine - INFO - Epoch(train) [31][5900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:24:13 time: 0.7923 data_time: 0.0290 memory: 9946 loss: 0.4934 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0263 loss_cls: 0.1222 acc: 99.6094 loss_bbox: 0.1656 loss_mask: 0.1627 +2024/01/17 18:26:28 - mmengine - INFO - Epoch(train) [31][5950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:23:34 time: 0.8070 data_time: 0.0279 memory: 10179 loss: 0.5095 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0269 loss_cls: 0.1147 acc: 91.7969 loss_bbox: 0.1697 loss_mask: 0.1863 +2024/01/17 18:27:09 - mmengine - INFO - Epoch(train) [31][6000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:22:54 time: 0.8063 data_time: 0.0328 memory: 9526 loss: 0.4234 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0210 loss_cls: 0.0950 acc: 100.0000 loss_bbox: 0.1410 loss_mask: 0.1527 +2024/01/17 18:27:49 - mmengine - INFO - Epoch(train) [31][6050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:22:15 time: 0.8025 data_time: 0.0316 memory: 10788 loss: 0.4755 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0226 loss_cls: 0.1190 acc: 98.8281 loss_bbox: 0.1525 loss_mask: 0.1671 +2024/01/17 18:28:29 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 18:28:29 - mmengine - INFO - Epoch(train) [31][6100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:21:35 time: 0.7956 data_time: 0.0443 memory: 10443 loss: 0.5809 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0296 loss_cls: 0.1335 acc: 94.7266 loss_bbox: 0.1972 loss_mask: 0.2026 +2024/01/17 18:29:09 - mmengine - INFO - Epoch(train) [31][6150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:20:55 time: 0.8004 data_time: 0.0345 memory: 11102 loss: 0.5439 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0273 loss_cls: 0.1288 acc: 93.5547 loss_bbox: 0.1981 loss_mask: 0.1759 +2024/01/17 18:29:49 - mmengine - INFO - Epoch(train) [31][6200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:20:15 time: 0.8062 data_time: 0.0345 memory: 9800 loss: 0.4145 loss_rpn_cls: 0.0061 loss_rpn_bbox: 0.0149 loss_cls: 0.1037 acc: 90.2344 loss_bbox: 0.1434 loss_mask: 0.1465 +2024/01/17 18:30:29 - mmengine - INFO - Epoch(train) [31][6250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:19:36 time: 0.8037 data_time: 0.0404 memory: 10198 loss: 0.4875 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0262 loss_cls: 0.1131 acc: 99.8047 loss_bbox: 0.1709 loss_mask: 0.1617 +2024/01/17 18:31:09 - mmengine - INFO - Epoch(train) [31][6300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:18:56 time: 0.7956 data_time: 0.0313 memory: 10572 loss: 0.4922 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0236 loss_cls: 0.1156 acc: 86.9141 loss_bbox: 0.1688 loss_mask: 0.1707 +2024/01/17 18:31:49 - mmengine - INFO - Epoch(train) [31][6350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:18:16 time: 0.7896 data_time: 0.0297 memory: 10809 loss: 0.4762 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0216 loss_cls: 0.1139 acc: 86.5234 loss_bbox: 0.1570 loss_mask: 0.1682 +2024/01/17 18:32:29 - mmengine - INFO - Epoch(train) [31][6400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:17:37 time: 0.7968 data_time: 0.0277 memory: 10583 loss: 0.4800 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0203 loss_cls: 0.1116 acc: 99.2188 loss_bbox: 0.1632 loss_mask: 0.1774 +2024/01/17 18:33:08 - mmengine - INFO - Epoch(train) [31][6450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:16:57 time: 0.7936 data_time: 0.0327 memory: 10572 loss: 0.5399 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0288 loss_cls: 0.1275 acc: 94.3359 loss_bbox: 0.1902 loss_mask: 0.1813 +2024/01/17 18:33:48 - mmengine - INFO - Epoch(train) [31][6500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:16:17 time: 0.8042 data_time: 0.0366 memory: 10067 loss: 0.5680 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0273 loss_cls: 0.1418 acc: 97.4609 loss_bbox: 0.2031 loss_mask: 0.1801 +2024/01/17 18:34:29 - mmengine - INFO - Epoch(train) [31][6550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:15:38 time: 0.8036 data_time: 0.0339 memory: 10277 loss: 0.4135 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0195 loss_cls: 0.0920 acc: 98.4375 loss_bbox: 0.1336 loss_mask: 0.1563 +2024/01/17 18:35:09 - mmengine - INFO - Epoch(train) [31][6600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:14:58 time: 0.7955 data_time: 0.0326 memory: 10033 loss: 0.5301 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0265 loss_cls: 0.1263 acc: 83.2031 loss_bbox: 0.1747 loss_mask: 0.1875 +2024/01/17 18:35:48 - mmengine - INFO - Epoch(train) [31][6650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:14:18 time: 0.7934 data_time: 0.0332 memory: 9438 loss: 0.5446 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0257 loss_cls: 0.1348 acc: 83.2031 loss_bbox: 0.1924 loss_mask: 0.1776 +2024/01/17 18:36:29 - mmengine - INFO - Epoch(train) [31][6700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:13:39 time: 0.8064 data_time: 0.0335 memory: 9753 loss: 0.4764 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0225 loss_cls: 0.1077 acc: 97.0703 loss_bbox: 0.1611 loss_mask: 0.1750 +2024/01/17 18:37:08 - mmengine - INFO - Epoch(train) [31][6750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:12:59 time: 0.7937 data_time: 0.0384 memory: 9949 loss: 0.5434 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0354 loss_cls: 0.1303 acc: 95.5078 loss_bbox: 0.1879 loss_mask: 0.1733 +2024/01/17 18:37:48 - mmengine - INFO - Epoch(train) [31][6800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:12:19 time: 0.7963 data_time: 0.0362 memory: 9793 loss: 0.5095 loss_rpn_cls: 0.0235 loss_rpn_bbox: 0.0275 loss_cls: 0.1251 acc: 97.0703 loss_bbox: 0.1603 loss_mask: 0.1732 +2024/01/17 18:38:29 - mmengine - INFO - Epoch(train) [31][6850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:11:40 time: 0.8125 data_time: 0.0365 memory: 10417 loss: 0.5854 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0353 loss_cls: 0.1400 acc: 99.6094 loss_bbox: 0.2026 loss_mask: 0.1931 +2024/01/17 18:39:09 - mmengine - INFO - Epoch(train) [31][6900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:11:00 time: 0.7929 data_time: 0.0332 memory: 9800 loss: 0.5030 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0280 loss_cls: 0.1209 acc: 92.5781 loss_bbox: 0.1738 loss_mask: 0.1686 +2024/01/17 18:39:48 - mmengine - INFO - Epoch(train) [31][6950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:10:20 time: 0.7857 data_time: 0.0344 memory: 10232 loss: 0.5203 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0266 loss_cls: 0.1236 acc: 97.6562 loss_bbox: 0.1728 loss_mask: 0.1788 +2024/01/17 18:40:29 - mmengine - INFO - Epoch(train) [31][7000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:09:41 time: 0.8263 data_time: 0.0314 memory: 10438 loss: 0.5298 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0257 loss_cls: 0.1360 acc: 98.0469 loss_bbox: 0.1906 loss_mask: 0.1659 +2024/01/17 18:41:10 - mmengine - INFO - Epoch(train) [31][7050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:09:01 time: 0.8076 data_time: 0.0363 memory: 10067 loss: 0.5298 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0323 loss_cls: 0.1290 acc: 93.9453 loss_bbox: 0.1710 loss_mask: 0.1806 +2024/01/17 18:41:49 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 18:41:49 - mmengine - INFO - Epoch(train) [31][7100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:08:21 time: 0.7947 data_time: 0.0319 memory: 10516 loss: 0.4458 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0204 loss_cls: 0.1075 acc: 96.6797 loss_bbox: 0.1371 loss_mask: 0.1712 +2024/01/17 18:42:29 - mmengine - INFO - Epoch(train) [31][7150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:07:41 time: 0.7994 data_time: 0.0421 memory: 10646 loss: 0.5992 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0292 loss_cls: 0.1467 acc: 90.0391 loss_bbox: 0.2067 loss_mask: 0.1978 +2024/01/17 18:43:09 - mmengine - INFO - Epoch(train) [31][7200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:07:02 time: 0.7863 data_time: 0.0300 memory: 9625 loss: 0.4479 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0232 loss_cls: 0.1064 acc: 99.4141 loss_bbox: 0.1494 loss_mask: 0.1568 +2024/01/17 18:43:49 - mmengine - INFO - Epoch(train) [31][7250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:06:22 time: 0.8037 data_time: 0.0324 memory: 10583 loss: 0.4381 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0195 loss_cls: 0.1024 acc: 98.2422 loss_bbox: 0.1384 loss_mask: 0.1658 +2024/01/17 18:44:29 - mmengine - INFO - Epoch(train) [31][7300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:05:42 time: 0.7957 data_time: 0.0314 memory: 10129 loss: 0.5619 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0316 loss_cls: 0.1381 acc: 96.4844 loss_bbox: 0.1779 loss_mask: 0.1948 +2024/01/17 18:44:53 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 18:44:53 - mmengine - INFO - Saving checkpoint at 31 epochs +2024/01/17 18:45:07 - mmengine - INFO - Epoch(val) [31][ 50/313] eta: 0:00:52 time: 0.1985 data_time: 0.0402 memory: 9518 +2024/01/17 18:45:17 - mmengine - INFO - Epoch(val) [31][100/313] eta: 0:00:41 time: 0.1934 data_time: 0.0350 memory: 2388 +2024/01/17 18:45:26 - mmengine - INFO - Epoch(val) [31][150/313] eta: 0:00:31 time: 0.1934 data_time: 0.0390 memory: 2431 +2024/01/17 18:45:36 - mmengine - INFO - Epoch(val) [31][200/313] eta: 0:00:22 time: 0.1942 data_time: 0.0355 memory: 2403 +2024/01/17 18:45:45 - mmengine - INFO - Epoch(val) [31][250/313] eta: 0:00:12 time: 0.1803 data_time: 0.0277 memory: 2431 +2024/01/17 18:45:56 - mmengine - INFO - Epoch(val) [31][300/313] eta: 0:00:02 time: 0.2079 data_time: 0.0507 memory: 2403 +2024/01/17 18:46:03 - mmengine - INFO - Evaluating bbox... +2024/01/17 18:46:25 - mmengine - INFO - bbox_mAP_copypaste: 0.497 0.704 0.542 0.334 0.533 0.658 +2024/01/17 18:46:25 - mmengine - INFO - Evaluating segm... +2024/01/17 18:46:48 - mmengine - INFO - segm_mAP_copypaste: 0.440 0.676 0.473 0.251 0.473 0.629 +2024/01/17 18:46:49 - mmengine - INFO - Epoch(val) [31][313/313] coco/bbox_mAP: 0.4970 coco/bbox_mAP_50: 0.7040 coco/bbox_mAP_75: 0.5420 coco/bbox_mAP_s: 0.3340 coco/bbox_mAP_m: 0.5330 coco/bbox_mAP_l: 0.6580 coco/segm_mAP: 0.4400 coco/segm_mAP_50: 0.6760 coco/segm_mAP_75: 0.4730 coco/segm_mAP_s: 0.2510 coco/segm_mAP_m: 0.4730 coco/segm_mAP_l: 0.6290 data_time: 0.0365 time: 0.1929 +2024/01/17 18:47:30 - mmengine - INFO - Epoch(train) [32][ 50/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:04:39 time: 0.8270 data_time: 0.0391 memory: 9800 loss: 0.4652 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0256 loss_cls: 0.1085 acc: 99.4141 loss_bbox: 0.1499 loss_mask: 0.1700 +2024/01/17 18:48:10 - mmengine - INFO - Epoch(train) [32][ 100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:03:59 time: 0.7979 data_time: 0.0339 memory: 10886 loss: 0.5546 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0276 loss_cls: 0.1347 acc: 92.7734 loss_bbox: 0.1899 loss_mask: 0.1842 +2024/01/17 18:48:50 - mmengine - INFO - Epoch(train) [32][ 150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:03:20 time: 0.7951 data_time: 0.0297 memory: 9374 loss: 0.5037 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0250 loss_cls: 0.1089 acc: 92.7734 loss_bbox: 0.1631 loss_mask: 0.1927 +2024/01/17 18:49:30 - mmengine - INFO - Epoch(train) [32][ 200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:02:40 time: 0.8079 data_time: 0.0288 memory: 10067 loss: 0.3975 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0171 loss_cls: 0.0866 acc: 99.2188 loss_bbox: 0.1283 loss_mask: 0.1559 +2024/01/17 18:50:10 - mmengine - INFO - Epoch(train) [32][ 250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:02:00 time: 0.7993 data_time: 0.0375 memory: 9822 loss: 0.5083 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0327 loss_cls: 0.1188 acc: 99.8047 loss_bbox: 0.1720 loss_mask: 0.1693 +2024/01/17 18:50:50 - mmengine - INFO - Epoch(train) [32][ 300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:01:21 time: 0.7839 data_time: 0.0345 memory: 10568 loss: 0.5278 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0221 loss_cls: 0.1273 acc: 94.1406 loss_bbox: 0.1924 loss_mask: 0.1749 +2024/01/17 18:51:30 - mmengine - INFO - Epoch(train) [32][ 350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:00:41 time: 0.8067 data_time: 0.0365 memory: 11102 loss: 0.5367 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0258 loss_cls: 0.1353 acc: 92.9688 loss_bbox: 0.1784 loss_mask: 0.1784 +2024/01/17 18:52:10 - mmengine - INFO - Epoch(train) [32][ 400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 8:00:01 time: 0.8020 data_time: 0.0305 memory: 8529 loss: 0.4981 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0206 loss_cls: 0.1233 acc: 99.4141 loss_bbox: 0.1648 loss_mask: 0.1751 +2024/01/17 18:52:50 - mmengine - INFO - Epoch(train) [32][ 450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:59:22 time: 0.7922 data_time: 0.0341 memory: 10303 loss: 0.5350 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0291 loss_cls: 0.1224 acc: 99.8047 loss_bbox: 0.1863 loss_mask: 0.1827 +2024/01/17 18:53:29 - mmengine - INFO - Epoch(train) [32][ 500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:58:42 time: 0.7919 data_time: 0.0372 memory: 10572 loss: 0.6487 loss_rpn_cls: 0.0231 loss_rpn_bbox: 0.0397 loss_cls: 0.1744 acc: 100.0000 loss_bbox: 0.2226 loss_mask: 0.1890 +2024/01/17 18:54:10 - mmengine - INFO - Epoch(train) [32][ 550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:58:02 time: 0.8068 data_time: 0.0331 memory: 10067 loss: 0.5740 loss_rpn_cls: 0.0293 loss_rpn_bbox: 0.0361 loss_cls: 0.1376 acc: 96.0938 loss_bbox: 0.1884 loss_mask: 0.1826 +2024/01/17 18:54:50 - mmengine - INFO - Epoch(train) [32][ 600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:57:23 time: 0.8046 data_time: 0.0375 memory: 9949 loss: 0.5002 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0233 loss_cls: 0.1212 acc: 87.1094 loss_bbox: 0.1669 loss_mask: 0.1774 +2024/01/17 18:55:29 - mmengine - INFO - Epoch(train) [32][ 650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:56:43 time: 0.7877 data_time: 0.0303 memory: 10508 loss: 0.4588 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0169 loss_cls: 0.1003 acc: 91.0156 loss_bbox: 0.1648 loss_mask: 0.1675 +2024/01/17 18:56:10 - mmengine - INFO - Epoch(train) [32][ 700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:56:03 time: 0.8041 data_time: 0.0295 memory: 9180 loss: 0.4910 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0197 loss_cls: 0.1089 acc: 96.0938 loss_bbox: 0.1682 loss_mask: 0.1842 +2024/01/17 18:56:49 - mmengine - INFO - Epoch(train) [32][ 750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:55:23 time: 0.7946 data_time: 0.0310 memory: 10346 loss: 0.5242 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0233 loss_cls: 0.1129 acc: 96.2891 loss_bbox: 0.1848 loss_mask: 0.1896 +2024/01/17 18:57:06 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 18:57:30 - mmengine - INFO - Epoch(train) [32][ 800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:54:44 time: 0.8064 data_time: 0.0304 memory: 10067 loss: 0.5370 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0252 loss_cls: 0.1260 acc: 100.0000 loss_bbox: 0.1794 loss_mask: 0.1930 +2024/01/17 18:58:10 - mmengine - INFO - Epoch(train) [32][ 850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:54:04 time: 0.8063 data_time: 0.0297 memory: 10067 loss: 0.4384 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0199 loss_cls: 0.1008 acc: 94.5312 loss_bbox: 0.1491 loss_mask: 0.1599 +2024/01/17 18:58:51 - mmengine - INFO - Epoch(train) [32][ 900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:53:24 time: 0.8053 data_time: 0.0311 memory: 10583 loss: 0.5212 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0313 loss_cls: 0.1250 acc: 97.0703 loss_bbox: 0.1799 loss_mask: 0.1681 +2024/01/17 18:59:30 - mmengine - INFO - Epoch(train) [32][ 950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:52:45 time: 0.7944 data_time: 0.0282 memory: 10067 loss: 0.4553 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0239 loss_cls: 0.1040 acc: 93.3594 loss_bbox: 0.1475 loss_mask: 0.1694 +2024/01/17 19:00:10 - mmengine - INFO - Epoch(train) [32][1000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:52:05 time: 0.7937 data_time: 0.0284 memory: 10278 loss: 0.4165 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0157 loss_cls: 0.0990 acc: 97.8516 loss_bbox: 0.1361 loss_mask: 0.1520 +2024/01/17 19:00:49 - mmengine - INFO - Epoch(train) [32][1050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:51:25 time: 0.7849 data_time: 0.0341 memory: 9120 loss: 0.5739 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0339 loss_cls: 0.1373 acc: 95.8984 loss_bbox: 0.2050 loss_mask: 0.1807 +2024/01/17 19:01:29 - mmengine - INFO - Epoch(train) [32][1100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:50:45 time: 0.7959 data_time: 0.0309 memory: 10565 loss: 0.4939 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0219 loss_cls: 0.1069 acc: 96.4844 loss_bbox: 0.1630 loss_mask: 0.1881 +2024/01/17 19:02:10 - mmengine - INFO - Epoch(train) [32][1150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:50:06 time: 0.8113 data_time: 0.0314 memory: 10180 loss: 0.5432 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0295 loss_cls: 0.1389 acc: 97.4609 loss_bbox: 0.1819 loss_mask: 0.1803 +2024/01/17 19:02:50 - mmengine - INFO - Epoch(train) [32][1200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:49:26 time: 0.8035 data_time: 0.0350 memory: 10476 loss: 0.5581 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0309 loss_cls: 0.1388 acc: 95.1172 loss_bbox: 0.1883 loss_mask: 0.1861 +2024/01/17 19:03:31 - mmengine - INFO - Epoch(train) [32][1250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:48:47 time: 0.8143 data_time: 0.0325 memory: 9601 loss: 0.5513 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0343 loss_cls: 0.1237 acc: 93.7500 loss_bbox: 0.1957 loss_mask: 0.1813 +2024/01/17 19:04:11 - mmengine - INFO - Epoch(train) [32][1300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:48:07 time: 0.8012 data_time: 0.0347 memory: 9736 loss: 0.4946 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0280 loss_cls: 0.1179 acc: 93.1641 loss_bbox: 0.1757 loss_mask: 0.1621 +2024/01/17 19:04:51 - mmengine - INFO - Epoch(train) [32][1350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:47:27 time: 0.7946 data_time: 0.0292 memory: 10485 loss: 0.4157 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0167 loss_cls: 0.0976 acc: 98.8281 loss_bbox: 0.1419 loss_mask: 0.1494 +2024/01/17 19:05:31 - mmengine - INFO - Epoch(train) [32][1400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:46:48 time: 0.8041 data_time: 0.0369 memory: 10063 loss: 0.5296 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0273 loss_cls: 0.1290 acc: 94.7266 loss_bbox: 0.1841 loss_mask: 0.1792 +2024/01/17 19:06:10 - mmengine - INFO - Epoch(train) [32][1450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:46:08 time: 0.7889 data_time: 0.0280 memory: 10295 loss: 0.5287 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0244 loss_cls: 0.1218 acc: 95.5078 loss_bbox: 0.1846 loss_mask: 0.1851 +2024/01/17 19:06:51 - mmengine - INFO - Epoch(train) [32][1500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:45:28 time: 0.8169 data_time: 0.0373 memory: 10830 loss: 0.5704 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0314 loss_cls: 0.1409 acc: 96.4844 loss_bbox: 0.1958 loss_mask: 0.1886 +2024/01/17 19:07:32 - mmengine - INFO - Epoch(train) [32][1550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:44:49 time: 0.8075 data_time: 0.0315 memory: 10572 loss: 0.4753 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0228 loss_cls: 0.1124 acc: 98.4375 loss_bbox: 0.1540 loss_mask: 0.1690 +2024/01/17 19:08:12 - mmengine - INFO - Epoch(train) [32][1600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:44:09 time: 0.7985 data_time: 0.0295 memory: 10067 loss: 0.4254 loss_rpn_cls: 0.0075 loss_rpn_bbox: 0.0179 loss_cls: 0.0881 acc: 99.4141 loss_bbox: 0.1423 loss_mask: 0.1694 +2024/01/17 19:08:51 - mmengine - INFO - Epoch(train) [32][1650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:43:29 time: 0.7952 data_time: 0.0303 memory: 10475 loss: 0.4385 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0202 loss_cls: 0.1049 acc: 98.4375 loss_bbox: 0.1516 loss_mask: 0.1549 +2024/01/17 19:09:32 - mmengine - INFO - Epoch(train) [32][1700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:42:50 time: 0.8038 data_time: 0.0368 memory: 10284 loss: 0.5761 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0334 loss_cls: 0.1346 acc: 93.7500 loss_bbox: 0.1959 loss_mask: 0.1958 +2024/01/17 19:10:11 - mmengine - INFO - Epoch(train) [32][1750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:42:10 time: 0.7939 data_time: 0.0302 memory: 11102 loss: 0.4840 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0268 loss_cls: 0.1058 acc: 99.2188 loss_bbox: 0.1672 loss_mask: 0.1702 +2024/01/17 19:10:27 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 19:10:52 - mmengine - INFO - Epoch(train) [32][1800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:41:30 time: 0.8081 data_time: 0.0283 memory: 9570 loss: 0.4441 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0192 loss_cls: 0.0994 acc: 99.2188 loss_bbox: 0.1502 loss_mask: 0.1625 +2024/01/17 19:11:32 - mmengine - INFO - Epoch(train) [32][1850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:40:51 time: 0.7972 data_time: 0.0328 memory: 11099 loss: 0.4987 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0226 loss_cls: 0.1193 acc: 97.6562 loss_bbox: 0.1704 loss_mask: 0.1759 +2024/01/17 19:12:12 - mmengine - INFO - Epoch(train) [32][1900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:40:11 time: 0.8093 data_time: 0.0392 memory: 10572 loss: 0.5016 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0261 loss_cls: 0.1224 acc: 96.6797 loss_bbox: 0.1638 loss_mask: 0.1746 +2024/01/17 19:12:53 - mmengine - INFO - Epoch(train) [32][1950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:39:31 time: 0.8153 data_time: 0.0337 memory: 10067 loss: 0.4813 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0242 loss_cls: 0.1112 acc: 96.0938 loss_bbox: 0.1666 loss_mask: 0.1607 +2024/01/17 19:13:33 - mmengine - INFO - Epoch(train) [32][2000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:38:52 time: 0.7941 data_time: 0.0322 memory: 9633 loss: 0.4573 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0225 loss_cls: 0.1084 acc: 90.6250 loss_bbox: 0.1453 loss_mask: 0.1728 +2024/01/17 19:14:12 - mmengine - INFO - Epoch(train) [32][2050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:38:12 time: 0.7846 data_time: 0.0339 memory: 9599 loss: 0.4897 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0248 loss_cls: 0.1145 acc: 99.6094 loss_bbox: 0.1751 loss_mask: 0.1638 +2024/01/17 19:14:51 - mmengine - INFO - Epoch(train) [32][2100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:37:32 time: 0.7873 data_time: 0.0305 memory: 10572 loss: 0.4817 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0239 loss_cls: 0.1129 acc: 94.1406 loss_bbox: 0.1660 loss_mask: 0.1671 +2024/01/17 19:15:31 - mmengine - INFO - Epoch(train) [32][2150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:36:52 time: 0.7947 data_time: 0.0336 memory: 10067 loss: 0.5043 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0257 loss_cls: 0.1137 acc: 98.6328 loss_bbox: 0.1763 loss_mask: 0.1698 +2024/01/17 19:16:12 - mmengine - INFO - Epoch(train) [32][2200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:36:13 time: 0.8179 data_time: 0.0397 memory: 10582 loss: 0.5181 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0280 loss_cls: 0.1216 acc: 96.6797 loss_bbox: 0.1799 loss_mask: 0.1755 +2024/01/17 19:16:52 - mmengine - INFO - Epoch(train) [32][2250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:35:33 time: 0.7897 data_time: 0.0286 memory: 10297 loss: 0.5012 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0236 loss_cls: 0.1114 acc: 99.8047 loss_bbox: 0.1711 loss_mask: 0.1815 +2024/01/17 19:17:31 - mmengine - INFO - Epoch(train) [32][2300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:34:53 time: 0.7855 data_time: 0.0340 memory: 9180 loss: 0.4906 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0262 loss_cls: 0.1199 acc: 100.0000 loss_bbox: 0.1608 loss_mask: 0.1694 +2024/01/17 19:18:11 - mmengine - INFO - Epoch(train) [32][2350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:34:13 time: 0.8011 data_time: 0.0346 memory: 10354 loss: 0.5774 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0305 loss_cls: 0.1453 acc: 98.8281 loss_bbox: 0.1953 loss_mask: 0.1861 +2024/01/17 19:18:50 - mmengine - INFO - Epoch(train) [32][2400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:33:34 time: 0.7834 data_time: 0.0336 memory: 9346 loss: 0.4726 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0215 loss_cls: 0.1055 acc: 96.4844 loss_bbox: 0.1566 loss_mask: 0.1736 +2024/01/17 19:19:30 - mmengine - INFO - Epoch(train) [32][2450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:32:54 time: 0.7917 data_time: 0.0357 memory: 10067 loss: 0.4585 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0234 loss_cls: 0.1057 acc: 94.7266 loss_bbox: 0.1564 loss_mask: 0.1624 +2024/01/17 19:20:10 - mmengine - INFO - Epoch(train) [32][2500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:32:14 time: 0.8113 data_time: 0.0333 memory: 10315 loss: 0.5994 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0294 loss_cls: 0.1550 acc: 99.4141 loss_bbox: 0.1998 loss_mask: 0.1956 +2024/01/17 19:20:51 - mmengine - INFO - Epoch(train) [32][2550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:31:35 time: 0.8021 data_time: 0.0294 memory: 10097 loss: 0.4601 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0214 loss_cls: 0.1091 acc: 90.8203 loss_bbox: 0.1474 loss_mask: 0.1701 +2024/01/17 19:21:30 - mmengine - INFO - Epoch(train) [32][2600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:30:55 time: 0.7966 data_time: 0.0351 memory: 10067 loss: 0.5403 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0282 loss_cls: 0.1331 acc: 83.9844 loss_bbox: 0.1722 loss_mask: 0.1904 +2024/01/17 19:22:10 - mmengine - INFO - Epoch(train) [32][2650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:30:15 time: 0.7902 data_time: 0.0294 memory: 9120 loss: 0.5056 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0251 loss_cls: 0.1243 acc: 98.8281 loss_bbox: 0.1728 loss_mask: 0.1706 +2024/01/17 19:22:50 - mmengine - INFO - Epoch(train) [32][2700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:29:35 time: 0.7970 data_time: 0.0333 memory: 10295 loss: 0.4940 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0286 loss_cls: 0.1226 acc: 92.1875 loss_bbox: 0.1614 loss_mask: 0.1667 +2024/01/17 19:23:29 - mmengine - INFO - Epoch(train) [32][2750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:28:56 time: 0.7888 data_time: 0.0322 memory: 10063 loss: 0.5005 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0274 loss_cls: 0.1263 acc: 99.8047 loss_bbox: 0.1630 loss_mask: 0.1710 +2024/01/17 19:23:46 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 19:24:09 - mmengine - INFO - Epoch(train) [32][2800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:28:16 time: 0.7959 data_time: 0.0357 memory: 10067 loss: 0.4627 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0227 loss_cls: 0.1084 acc: 100.0000 loss_bbox: 0.1523 loss_mask: 0.1698 +2024/01/17 19:24:49 - mmengine - INFO - Epoch(train) [32][2850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:27:36 time: 0.8033 data_time: 0.0319 memory: 9253 loss: 0.4999 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0237 loss_cls: 0.1186 acc: 96.8750 loss_bbox: 0.1683 loss_mask: 0.1778 +2024/01/17 19:25:29 - mmengine - INFO - Epoch(train) [32][2900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:26:57 time: 0.7991 data_time: 0.0342 memory: 10549 loss: 0.5247 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0249 loss_cls: 0.1189 acc: 92.1875 loss_bbox: 0.1888 loss_mask: 0.1782 +2024/01/17 19:26:09 - mmengine - INFO - Epoch(train) [32][2950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:26:17 time: 0.7895 data_time: 0.0343 memory: 10572 loss: 0.5631 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0291 loss_cls: 0.1361 acc: 91.4062 loss_bbox: 0.1972 loss_mask: 0.1864 +2024/01/17 19:26:49 - mmengine - INFO - Epoch(train) [32][3000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:25:37 time: 0.8000 data_time: 0.0331 memory: 10256 loss: 0.5532 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0304 loss_cls: 0.1307 acc: 98.4375 loss_bbox: 0.2011 loss_mask: 0.1792 +2024/01/17 19:27:28 - mmengine - INFO - Epoch(train) [32][3050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:24:57 time: 0.7877 data_time: 0.0267 memory: 10278 loss: 0.3625 loss_rpn_cls: 0.0063 loss_rpn_bbox: 0.0148 loss_cls: 0.0882 acc: 99.2188 loss_bbox: 0.1120 loss_mask: 0.1412 +2024/01/17 19:28:08 - mmengine - INFO - Epoch(train) [32][3100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:24:18 time: 0.7981 data_time: 0.0296 memory: 9575 loss: 0.4541 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0208 loss_cls: 0.1032 acc: 99.6094 loss_bbox: 0.1399 loss_mask: 0.1814 +2024/01/17 19:28:49 - mmengine - INFO - Epoch(train) [32][3150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:23:38 time: 0.8065 data_time: 0.0303 memory: 10093 loss: 0.4545 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0268 loss_cls: 0.1055 acc: 98.6328 loss_bbox: 0.1558 loss_mask: 0.1531 +2024/01/17 19:29:29 - mmengine - INFO - Epoch(train) [32][3200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:22:58 time: 0.8105 data_time: 0.0321 memory: 10572 loss: 0.5286 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0246 loss_cls: 0.1351 acc: 89.0625 loss_bbox: 0.1895 loss_mask: 0.1680 +2024/01/17 19:30:09 - mmengine - INFO - Epoch(train) [32][3250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:22:19 time: 0.7966 data_time: 0.0343 memory: 10572 loss: 0.5234 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0298 loss_cls: 0.1238 acc: 89.2578 loss_bbox: 0.1842 loss_mask: 0.1697 +2024/01/17 19:30:50 - mmengine - INFO - Epoch(train) [32][3300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:21:39 time: 0.8069 data_time: 0.0385 memory: 11026 loss: 0.5505 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0259 loss_cls: 0.1355 acc: 93.7500 loss_bbox: 0.1958 loss_mask: 0.1793 +2024/01/17 19:31:29 - mmengine - INFO - Epoch(train) [32][3350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:20:59 time: 0.7961 data_time: 0.0387 memory: 10583 loss: 0.4796 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0201 loss_cls: 0.1113 acc: 93.9453 loss_bbox: 0.1677 loss_mask: 0.1712 +2024/01/17 19:32:10 - mmengine - INFO - Epoch(train) [32][3400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:20:20 time: 0.8023 data_time: 0.0313 memory: 10067 loss: 0.4284 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0241 loss_cls: 0.0939 acc: 100.0000 loss_bbox: 0.1419 loss_mask: 0.1585 +2024/01/17 19:32:49 - mmengine - INFO - Epoch(train) [32][3450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:19:40 time: 0.7911 data_time: 0.0320 memory: 9946 loss: 0.4908 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0200 loss_cls: 0.1137 acc: 95.3125 loss_bbox: 0.1676 loss_mask: 0.1788 +2024/01/17 19:33:29 - mmengine - INFO - Epoch(train) [32][3500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:19:00 time: 0.7908 data_time: 0.0313 memory: 10245 loss: 0.4448 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0208 loss_cls: 0.0980 acc: 98.0469 loss_bbox: 0.1430 loss_mask: 0.1703 +2024/01/17 19:34:09 - mmengine - INFO - Epoch(train) [32][3550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:18:20 time: 0.8002 data_time: 0.0325 memory: 10612 loss: 0.4915 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0214 loss_cls: 0.1185 acc: 100.0000 loss_bbox: 0.1765 loss_mask: 0.1677 +2024/01/17 19:34:49 - mmengine - INFO - Epoch(train) [32][3600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:17:41 time: 0.8034 data_time: 0.0311 memory: 10067 loss: 0.4914 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0276 loss_cls: 0.1118 acc: 99.4141 loss_bbox: 0.1707 loss_mask: 0.1666 +2024/01/17 19:35:29 - mmengine - INFO - Epoch(train) [32][3650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:17:01 time: 0.8079 data_time: 0.0359 memory: 9601 loss: 0.5316 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0275 loss_cls: 0.1187 acc: 93.7500 loss_bbox: 0.1835 loss_mask: 0.1914 +2024/01/17 19:36:09 - mmengine - INFO - Epoch(train) [32][3700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:16:21 time: 0.7971 data_time: 0.0322 memory: 10520 loss: 0.4888 loss_rpn_cls: 0.0065 loss_rpn_bbox: 0.0220 loss_cls: 0.1114 acc: 99.2188 loss_bbox: 0.1626 loss_mask: 0.1862 +2024/01/17 19:36:49 - mmengine - INFO - Epoch(train) [32][3750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:15:42 time: 0.8004 data_time: 0.0339 memory: 8761 loss: 0.4393 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0233 loss_cls: 0.1110 acc: 98.0469 loss_bbox: 0.1421 loss_mask: 0.1496 +2024/01/17 19:37:05 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 19:37:29 - mmengine - INFO - Epoch(train) [32][3800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:15:02 time: 0.7989 data_time: 0.0324 memory: 9134 loss: 0.4470 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0213 loss_cls: 0.1014 acc: 98.0469 loss_bbox: 0.1455 loss_mask: 0.1669 +2024/01/17 19:38:09 - mmengine - INFO - Epoch(train) [32][3850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:14:22 time: 0.7963 data_time: 0.0345 memory: 8312 loss: 0.6014 loss_rpn_cls: 0.0218 loss_rpn_bbox: 0.0357 loss_cls: 0.1543 acc: 87.3047 loss_bbox: 0.2040 loss_mask: 0.1856 +2024/01/17 19:38:49 - mmengine - INFO - Epoch(train) [32][3900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:13:43 time: 0.7978 data_time: 0.0378 memory: 9397 loss: 0.5453 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0283 loss_cls: 0.1370 acc: 98.8281 loss_bbox: 0.1826 loss_mask: 0.1795 +2024/01/17 19:39:30 - mmengine - INFO - Epoch(train) [32][3950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:13:03 time: 0.8165 data_time: 0.0329 memory: 10537 loss: 0.4908 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0235 loss_cls: 0.1153 acc: 98.0469 loss_bbox: 0.1705 loss_mask: 0.1706 +2024/01/17 19:40:09 - mmengine - INFO - Epoch(train) [32][4000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:12:23 time: 0.7807 data_time: 0.0341 memory: 10013 loss: 0.4858 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0261 loss_cls: 0.1132 acc: 99.8047 loss_bbox: 0.1585 loss_mask: 0.1737 +2024/01/17 19:40:49 - mmengine - INFO - Epoch(train) [32][4050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:11:44 time: 0.8005 data_time: 0.0357 memory: 10067 loss: 0.5944 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0330 loss_cls: 0.1564 acc: 100.0000 loss_bbox: 0.2035 loss_mask: 0.1801 +2024/01/17 19:41:29 - mmengine - INFO - Epoch(train) [32][4100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:11:04 time: 0.8031 data_time: 0.0302 memory: 10572 loss: 0.5151 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0244 loss_cls: 0.1097 acc: 91.9922 loss_bbox: 0.1822 loss_mask: 0.1875 +2024/01/17 19:42:09 - mmengine - INFO - Epoch(train) [32][4150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:10:24 time: 0.7967 data_time: 0.0348 memory: 9734 loss: 0.4765 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0223 loss_cls: 0.1100 acc: 98.2422 loss_bbox: 0.1609 loss_mask: 0.1704 +2024/01/17 19:42:49 - mmengine - INFO - Epoch(train) [32][4200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:09:44 time: 0.7950 data_time: 0.0327 memory: 10572 loss: 0.5304 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0290 loss_cls: 0.1248 acc: 87.5000 loss_bbox: 0.1917 loss_mask: 0.1686 +2024/01/17 19:43:29 - mmengine - INFO - Epoch(train) [32][4250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:09:05 time: 0.8051 data_time: 0.0321 memory: 10789 loss: 0.4265 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0242 loss_cls: 0.0963 acc: 94.5312 loss_bbox: 0.1402 loss_mask: 0.1524 +2024/01/17 19:44:09 - mmengine - INFO - Epoch(train) [32][4300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:08:25 time: 0.7933 data_time: 0.0422 memory: 10067 loss: 0.5414 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0276 loss_cls: 0.1360 acc: 86.5234 loss_bbox: 0.1882 loss_mask: 0.1740 +2024/01/17 19:44:49 - mmengine - INFO - Epoch(train) [32][4350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:07:45 time: 0.8000 data_time: 0.0365 memory: 10067 loss: 0.5452 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0282 loss_cls: 0.1306 acc: 96.6797 loss_bbox: 0.1823 loss_mask: 0.1878 +2024/01/17 19:45:29 - mmengine - INFO - Epoch(train) [32][4400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:07:06 time: 0.8061 data_time: 0.0358 memory: 9737 loss: 0.4852 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0222 loss_cls: 0.1153 acc: 99.6094 loss_bbox: 0.1630 loss_mask: 0.1709 +2024/01/17 19:46:09 - mmengine - INFO - Epoch(train) [32][4450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:06:26 time: 0.7913 data_time: 0.0258 memory: 10495 loss: 0.5052 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0235 loss_cls: 0.1244 acc: 99.8047 loss_bbox: 0.1728 loss_mask: 0.1713 +2024/01/17 19:46:48 - mmengine - INFO - Epoch(train) [32][4500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:05:46 time: 0.7878 data_time: 0.0327 memory: 10583 loss: 0.5488 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0268 loss_cls: 0.1373 acc: 100.0000 loss_bbox: 0.1886 loss_mask: 0.1779 +2024/01/17 19:47:28 - mmengine - INFO - Epoch(train) [32][4550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:05:06 time: 0.7967 data_time: 0.0353 memory: 10280 loss: 0.5075 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0231 loss_cls: 0.1164 acc: 95.7031 loss_bbox: 0.1657 loss_mask: 0.1888 +2024/01/17 19:48:08 - mmengine - INFO - Epoch(train) [32][4600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:04:27 time: 0.7982 data_time: 0.0381 memory: 10299 loss: 0.5391 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0260 loss_cls: 0.1314 acc: 94.9219 loss_bbox: 0.1954 loss_mask: 0.1748 +2024/01/17 19:48:48 - mmengine - INFO - Epoch(train) [32][4650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:03:47 time: 0.7920 data_time: 0.0307 memory: 9601 loss: 0.5540 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0292 loss_cls: 0.1245 acc: 100.0000 loss_bbox: 0.1953 loss_mask: 0.1916 +2024/01/17 19:49:27 - mmengine - INFO - Epoch(train) [32][4700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:03:07 time: 0.7845 data_time: 0.0300 memory: 9736 loss: 0.4570 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0206 loss_cls: 0.1054 acc: 97.4609 loss_bbox: 0.1544 loss_mask: 0.1678 +2024/01/17 19:50:08 - mmengine - INFO - Epoch(train) [32][4750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:02:28 time: 0.8165 data_time: 0.0385 memory: 11313 loss: 0.6161 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0390 loss_cls: 0.1471 acc: 89.8438 loss_bbox: 0.2084 loss_mask: 0.2034 +2024/01/17 19:50:24 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 19:50:48 - mmengine - INFO - Epoch(train) [32][4800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:01:48 time: 0.8005 data_time: 0.0325 memory: 10211 loss: 0.5180 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0245 loss_cls: 0.1190 acc: 91.2109 loss_bbox: 0.1746 loss_mask: 0.1848 +2024/01/17 19:51:29 - mmengine - INFO - Epoch(train) [32][4850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:01:08 time: 0.8195 data_time: 0.0330 memory: 10265 loss: 0.5315 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0276 loss_cls: 0.1205 acc: 95.5078 loss_bbox: 0.1835 loss_mask: 0.1848 +2024/01/17 19:52:09 - mmengine - INFO - Epoch(train) [32][4900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 7:00:29 time: 0.8009 data_time: 0.0324 memory: 11201 loss: 0.4656 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0207 loss_cls: 0.1046 acc: 99.4141 loss_bbox: 0.1546 loss_mask: 0.1751 +2024/01/17 19:52:49 - mmengine - INFO - Epoch(train) [32][4950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:59:49 time: 0.8048 data_time: 0.0356 memory: 10067 loss: 0.5494 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0252 loss_cls: 0.1221 acc: 90.0391 loss_bbox: 0.1911 loss_mask: 0.1916 +2024/01/17 19:53:30 - mmengine - INFO - Epoch(train) [32][5000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:59:09 time: 0.8026 data_time: 0.0402 memory: 10391 loss: 0.5700 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0323 loss_cls: 0.1409 acc: 95.5078 loss_bbox: 0.1970 loss_mask: 0.1827 +2024/01/17 19:54:10 - mmengine - INFO - Epoch(train) [32][5050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:58:30 time: 0.8053 data_time: 0.0320 memory: 10665 loss: 0.4930 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0298 loss_cls: 0.1166 acc: 94.1406 loss_bbox: 0.1669 loss_mask: 0.1658 +2024/01/17 19:54:49 - mmengine - INFO - Epoch(train) [32][5100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:57:50 time: 0.7899 data_time: 0.0337 memory: 9261 loss: 0.5588 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0287 loss_cls: 0.1330 acc: 93.9453 loss_bbox: 0.1852 loss_mask: 0.1921 +2024/01/17 19:55:29 - mmengine - INFO - Epoch(train) [32][5150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:57:10 time: 0.7964 data_time: 0.0316 memory: 10423 loss: 0.5327 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0296 loss_cls: 0.1205 acc: 96.6797 loss_bbox: 0.1959 loss_mask: 0.1720 +2024/01/17 19:56:09 - mmengine - INFO - Epoch(train) [32][5200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:56:30 time: 0.7977 data_time: 0.0351 memory: 10101 loss: 0.5370 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0267 loss_cls: 0.1275 acc: 90.6250 loss_bbox: 0.1919 loss_mask: 0.1795 +2024/01/17 19:56:49 - mmengine - INFO - Epoch(train) [32][5250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:55:51 time: 0.7979 data_time: 0.0331 memory: 10067 loss: 0.4660 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0264 loss_cls: 0.0988 acc: 98.8281 loss_bbox: 0.1477 loss_mask: 0.1767 +2024/01/17 19:57:29 - mmengine - INFO - Epoch(train) [32][5300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:55:11 time: 0.7976 data_time: 0.0295 memory: 9307 loss: 0.4865 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0261 loss_cls: 0.1084 acc: 98.6328 loss_bbox: 0.1577 loss_mask: 0.1808 +2024/01/17 19:58:09 - mmengine - INFO - Epoch(train) [32][5350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:54:31 time: 0.7983 data_time: 0.0342 memory: 10568 loss: 0.5006 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0214 loss_cls: 0.1166 acc: 92.7734 loss_bbox: 0.1693 loss_mask: 0.1806 +2024/01/17 19:58:49 - mmengine - INFO - Epoch(train) [32][5400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:53:52 time: 0.8051 data_time: 0.0324 memory: 10291 loss: 0.4826 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0205 loss_cls: 0.1125 acc: 91.0156 loss_bbox: 0.1699 loss_mask: 0.1678 +2024/01/17 19:59:29 - mmengine - INFO - Epoch(train) [32][5450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:53:12 time: 0.7967 data_time: 0.0414 memory: 9736 loss: 0.4488 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0223 loss_cls: 0.0975 acc: 100.0000 loss_bbox: 0.1564 loss_mask: 0.1607 +2024/01/17 20:00:09 - mmengine - INFO - Epoch(train) [32][5500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:52:32 time: 0.7860 data_time: 0.0287 memory: 9262 loss: 0.4720 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0217 loss_cls: 0.1078 acc: 97.4609 loss_bbox: 0.1584 loss_mask: 0.1752 +2024/01/17 20:00:49 - mmengine - INFO - Epoch(train) [32][5550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:51:53 time: 0.8052 data_time: 0.0311 memory: 11102 loss: 0.4512 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0231 loss_cls: 0.1097 acc: 99.0234 loss_bbox: 0.1485 loss_mask: 0.1581 +2024/01/17 20:01:29 - mmengine - INFO - Epoch(train) [32][5600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:51:13 time: 0.7972 data_time: 0.0394 memory: 10568 loss: 0.5528 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0304 loss_cls: 0.1368 acc: 94.5312 loss_bbox: 0.1905 loss_mask: 0.1779 +2024/01/17 20:02:09 - mmengine - INFO - Epoch(train) [32][5650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:50:33 time: 0.8020 data_time: 0.0315 memory: 10572 loss: 0.5140 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0263 loss_cls: 0.1166 acc: 90.8203 loss_bbox: 0.1789 loss_mask: 0.1813 +2024/01/17 20:02:49 - mmengine - INFO - Epoch(train) [32][5700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:49:53 time: 0.7931 data_time: 0.0388 memory: 10248 loss: 0.5669 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0291 loss_cls: 0.1431 acc: 95.5078 loss_bbox: 0.1963 loss_mask: 0.1828 +2024/01/17 20:03:29 - mmengine - INFO - Epoch(train) [32][5750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:49:14 time: 0.8073 data_time: 0.0405 memory: 10067 loss: 0.5879 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0309 loss_cls: 0.1555 acc: 99.0234 loss_bbox: 0.2040 loss_mask: 0.1802 +2024/01/17 20:03:45 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 20:04:09 - mmengine - INFO - Epoch(train) [32][5800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:48:34 time: 0.7960 data_time: 0.0323 memory: 10388 loss: 0.5851 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0335 loss_cls: 0.1484 acc: 100.0000 loss_bbox: 0.2085 loss_mask: 0.1814 +2024/01/17 20:04:49 - mmengine - INFO - Epoch(train) [32][5850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:47:54 time: 0.7985 data_time: 0.0367 memory: 10572 loss: 0.5049 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0235 loss_cls: 0.1146 acc: 95.1172 loss_bbox: 0.1770 loss_mask: 0.1784 +2024/01/17 20:05:28 - mmengine - INFO - Epoch(train) [32][5900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:47:15 time: 0.7889 data_time: 0.0334 memory: 10516 loss: 0.4707 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0225 loss_cls: 0.1132 acc: 99.4141 loss_bbox: 0.1588 loss_mask: 0.1642 +2024/01/17 20:06:08 - mmengine - INFO - Epoch(train) [32][5950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:46:35 time: 0.7969 data_time: 0.0338 memory: 10875 loss: 0.5022 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0260 loss_cls: 0.1190 acc: 97.6562 loss_bbox: 0.1654 loss_mask: 0.1758 +2024/01/17 20:06:48 - mmengine - INFO - Epoch(train) [32][6000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:45:55 time: 0.7922 data_time: 0.0308 memory: 10516 loss: 0.4381 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0169 loss_cls: 0.0921 acc: 97.0703 loss_bbox: 0.1497 loss_mask: 0.1728 +2024/01/17 20:07:28 - mmengine - INFO - Epoch(train) [32][6050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:45:15 time: 0.8091 data_time: 0.0349 memory: 10508 loss: 0.4705 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0208 loss_cls: 0.1077 acc: 95.5078 loss_bbox: 0.1589 loss_mask: 0.1671 +2024/01/17 20:08:09 - mmengine - INFO - Epoch(train) [32][6100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:44:36 time: 0.8037 data_time: 0.0331 memory: 10067 loss: 0.5282 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0235 loss_cls: 0.1360 acc: 99.6094 loss_bbox: 0.1736 loss_mask: 0.1778 +2024/01/17 20:08:49 - mmengine - INFO - Epoch(train) [32][6150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:43:56 time: 0.8148 data_time: 0.0364 memory: 9949 loss: 0.5692 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0302 loss_cls: 0.1487 acc: 89.0625 loss_bbox: 0.1892 loss_mask: 0.1844 +2024/01/17 20:09:29 - mmengine - INFO - Epoch(train) [32][6200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:43:16 time: 0.7999 data_time: 0.0308 memory: 10572 loss: 0.5144 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0229 loss_cls: 0.1196 acc: 96.0938 loss_bbox: 0.1710 loss_mask: 0.1857 +2024/01/17 20:10:09 - mmengine - INFO - Epoch(train) [32][6250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:42:37 time: 0.7921 data_time: 0.0303 memory: 10787 loss: 0.5240 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0258 loss_cls: 0.1318 acc: 98.6328 loss_bbox: 0.1755 loss_mask: 0.1746 +2024/01/17 20:10:49 - mmengine - INFO - Epoch(train) [32][6300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:41:57 time: 0.8062 data_time: 0.0347 memory: 10067 loss: 0.4329 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0223 loss_cls: 0.1089 acc: 93.7500 loss_bbox: 0.1411 loss_mask: 0.1472 +2024/01/17 20:11:29 - mmengine - INFO - Epoch(train) [32][6350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:41:17 time: 0.7993 data_time: 0.0345 memory: 10583 loss: 0.5662 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0285 loss_cls: 0.1411 acc: 100.0000 loss_bbox: 0.1934 loss_mask: 0.1862 +2024/01/17 20:12:09 - mmengine - INFO - Epoch(train) [32][6400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:40:38 time: 0.7992 data_time: 0.0304 memory: 11183 loss: 0.4087 loss_rpn_cls: 0.0095 loss_rpn_bbox: 0.0197 loss_cls: 0.0972 acc: 99.2188 loss_bbox: 0.1307 loss_mask: 0.1516 +2024/01/17 20:12:50 - mmengine - INFO - Epoch(train) [32][6450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:39:58 time: 0.8112 data_time: 0.0408 memory: 10572 loss: 0.5985 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0297 loss_cls: 0.1424 acc: 94.5312 loss_bbox: 0.2109 loss_mask: 0.2016 +2024/01/17 20:13:31 - mmengine - INFO - Epoch(train) [32][6500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:39:18 time: 0.8127 data_time: 0.0334 memory: 9904 loss: 0.4733 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0202 loss_cls: 0.1079 acc: 94.5312 loss_bbox: 0.1643 loss_mask: 0.1713 +2024/01/17 20:14:10 - mmengine - INFO - Epoch(train) [32][6550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:38:39 time: 0.7948 data_time: 0.0301 memory: 10568 loss: 0.4322 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0232 loss_cls: 0.1050 acc: 95.5078 loss_bbox: 0.1424 loss_mask: 0.1519 +2024/01/17 20:14:51 - mmengine - INFO - Epoch(train) [32][6600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:37:59 time: 0.8043 data_time: 0.0385 memory: 11102 loss: 0.5742 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0287 loss_cls: 0.1432 acc: 93.5547 loss_bbox: 0.2068 loss_mask: 0.1797 +2024/01/17 20:15:31 - mmengine - INFO - Epoch(train) [32][6650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:37:19 time: 0.8064 data_time: 0.0373 memory: 10207 loss: 0.4981 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0271 loss_cls: 0.1225 acc: 96.2891 loss_bbox: 0.1694 loss_mask: 0.1637 +2024/01/17 20:16:12 - mmengine - INFO - Epoch(train) [32][6700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:36:40 time: 0.8181 data_time: 0.0360 memory: 9319 loss: 0.4914 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0243 loss_cls: 0.1195 acc: 91.7969 loss_bbox: 0.1683 loss_mask: 0.1628 +2024/01/17 20:16:52 - mmengine - INFO - Epoch(train) [32][6750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:36:00 time: 0.8006 data_time: 0.0304 memory: 9949 loss: 0.5094 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0261 loss_cls: 0.1135 acc: 90.0391 loss_bbox: 0.1755 loss_mask: 0.1778 +2024/01/17 20:17:08 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 20:17:32 - mmengine - INFO - Epoch(train) [32][6800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:35:20 time: 0.8005 data_time: 0.0382 memory: 10572 loss: 0.4732 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0250 loss_cls: 0.0984 acc: 98.0469 loss_bbox: 0.1606 loss_mask: 0.1799 +2024/01/17 20:18:12 - mmengine - INFO - Epoch(train) [32][6850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:34:41 time: 0.7937 data_time: 0.0365 memory: 9949 loss: 0.4756 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0240 loss_cls: 0.1152 acc: 99.4141 loss_bbox: 0.1529 loss_mask: 0.1680 +2024/01/17 20:18:52 - mmengine - INFO - Epoch(train) [32][6900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:34:01 time: 0.7978 data_time: 0.0352 memory: 10568 loss: 0.5505 loss_rpn_cls: 0.0212 loss_rpn_bbox: 0.0302 loss_cls: 0.1313 acc: 92.7734 loss_bbox: 0.1866 loss_mask: 0.1812 +2024/01/17 20:19:32 - mmengine - INFO - Epoch(train) [32][6950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:33:21 time: 0.7956 data_time: 0.0340 memory: 9514 loss: 0.4893 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0243 loss_cls: 0.1172 acc: 99.4141 loss_bbox: 0.1662 loss_mask: 0.1657 +2024/01/17 20:20:12 - mmengine - INFO - Epoch(train) [32][7000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:32:42 time: 0.8101 data_time: 0.0324 memory: 9599 loss: 0.4758 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0186 loss_cls: 0.1083 acc: 93.9453 loss_bbox: 0.1611 loss_mask: 0.1773 +2024/01/17 20:20:52 - mmengine - INFO - Epoch(train) [32][7050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:32:02 time: 0.7901 data_time: 0.0337 memory: 10155 loss: 0.5621 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0331 loss_cls: 0.1268 acc: 93.5547 loss_bbox: 0.1918 loss_mask: 0.1981 +2024/01/17 20:21:32 - mmengine - INFO - Epoch(train) [32][7100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:31:22 time: 0.7948 data_time: 0.0384 memory: 10433 loss: 0.5343 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0300 loss_cls: 0.1300 acc: 97.8516 loss_bbox: 0.1810 loss_mask: 0.1788 +2024/01/17 20:22:11 - mmengine - INFO - Epoch(train) [32][7150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:30:42 time: 0.7909 data_time: 0.0366 memory: 11099 loss: 0.5747 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0375 loss_cls: 0.1475 acc: 99.4141 loss_bbox: 0.1934 loss_mask: 0.1813 +2024/01/17 20:22:51 - mmengine - INFO - Epoch(train) [32][7200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:30:03 time: 0.7927 data_time: 0.0317 memory: 10093 loss: 0.5231 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0288 loss_cls: 0.1240 acc: 91.7969 loss_bbox: 0.1876 loss_mask: 0.1648 +2024/01/17 20:23:30 - mmengine - INFO - Epoch(train) [32][7250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:29:23 time: 0.7927 data_time: 0.0354 memory: 11154 loss: 0.5148 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0238 loss_cls: 0.1253 acc: 88.0859 loss_bbox: 0.1754 loss_mask: 0.1781 +2024/01/17 20:24:11 - mmengine - INFO - Epoch(train) [32][7300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:28:43 time: 0.8054 data_time: 0.0408 memory: 10872 loss: 0.6009 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0296 loss_cls: 0.1569 acc: 97.4609 loss_bbox: 0.2020 loss_mask: 0.1946 +2024/01/17 20:24:35 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 20:24:35 - mmengine - INFO - Saving checkpoint at 32 epochs +2024/01/17 20:24:50 - mmengine - INFO - Epoch(val) [32][ 50/313] eta: 0:00:54 time: 0.2058 data_time: 0.0481 memory: 10466 +2024/01/17 20:25:00 - mmengine - INFO - Epoch(val) [32][100/313] eta: 0:00:43 time: 0.1997 data_time: 0.0420 memory: 2388 +2024/01/17 20:25:10 - mmengine - INFO - Epoch(val) [32][150/313] eta: 0:00:32 time: 0.2005 data_time: 0.0462 memory: 2431 +2024/01/17 20:25:20 - mmengine - INFO - Epoch(val) [32][200/313] eta: 0:00:22 time: 0.2016 data_time: 0.0428 memory: 2403 +2024/01/17 20:25:30 - mmengine - INFO - Epoch(val) [32][250/313] eta: 0:00:12 time: 0.1850 data_time: 0.0325 memory: 2431 +2024/01/17 20:25:40 - mmengine - INFO - Epoch(val) [32][300/313] eta: 0:00:02 time: 0.2027 data_time: 0.0459 memory: 2403 +2024/01/17 20:25:46 - mmengine - INFO - Evaluating bbox... +2024/01/17 20:26:07 - mmengine - INFO - bbox_mAP_copypaste: 0.495 0.702 0.541 0.323 0.530 0.659 +2024/01/17 20:26:07 - mmengine - INFO - Evaluating segm... +2024/01/17 20:26:29 - mmengine - INFO - segm_mAP_copypaste: 0.438 0.673 0.472 0.240 0.469 0.631 +2024/01/17 20:26:30 - mmengine - INFO - Epoch(val) [32][313/313] coco/bbox_mAP: 0.4950 coco/bbox_mAP_50: 0.7020 coco/bbox_mAP_75: 0.5410 coco/bbox_mAP_s: 0.3230 coco/bbox_mAP_m: 0.5300 coco/bbox_mAP_l: 0.6590 coco/segm_mAP: 0.4380 coco/segm_mAP_50: 0.6730 coco/segm_mAP_75: 0.4720 coco/segm_mAP_s: 0.2400 coco/segm_mAP_m: 0.4690 coco/segm_mAP_l: 0.6310 data_time: 0.0412 time: 0.1972 +2024/01/17 20:27:10 - mmengine - INFO - Epoch(train) [33][ 50/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:27:40 time: 0.8013 data_time: 0.0405 memory: 10583 loss: 0.4403 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0250 loss_cls: 0.0992 acc: 93.1641 loss_bbox: 0.1507 loss_mask: 0.1567 +2024/01/17 20:27:49 - mmengine - INFO - Epoch(train) [33][ 100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:27:00 time: 0.7895 data_time: 0.0304 memory: 10067 loss: 0.4650 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0266 loss_cls: 0.1096 acc: 98.4375 loss_bbox: 0.1525 loss_mask: 0.1650 +2024/01/17 20:28:29 - mmengine - INFO - Epoch(train) [33][ 150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:26:20 time: 0.7945 data_time: 0.0357 memory: 11102 loss: 0.4788 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0281 loss_cls: 0.1110 acc: 99.8047 loss_bbox: 0.1650 loss_mask: 0.1615 +2024/01/17 20:29:09 - mmengine - INFO - Epoch(train) [33][ 200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:25:40 time: 0.7949 data_time: 0.0420 memory: 10317 loss: 0.5690 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0313 loss_cls: 0.1518 acc: 99.8047 loss_bbox: 0.1958 loss_mask: 0.1724 +2024/01/17 20:29:50 - mmengine - INFO - Epoch(train) [33][ 250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:25:01 time: 0.8122 data_time: 0.0308 memory: 10167 loss: 0.4715 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0249 loss_cls: 0.1110 acc: 92.9688 loss_bbox: 0.1532 loss_mask: 0.1726 +2024/01/17 20:30:29 - mmengine - INFO - Epoch(train) [33][ 300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:24:21 time: 0.7866 data_time: 0.0297 memory: 10179 loss: 0.4692 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0171 loss_cls: 0.1157 acc: 99.4141 loss_bbox: 0.1615 loss_mask: 0.1615 +2024/01/17 20:31:08 - mmengine - INFO - Epoch(train) [33][ 350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:23:41 time: 0.7813 data_time: 0.0269 memory: 10583 loss: 0.4494 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0205 loss_cls: 0.1004 acc: 97.4609 loss_bbox: 0.1501 loss_mask: 0.1682 +2024/01/17 20:31:48 - mmengine - INFO - Epoch(train) [33][ 400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:23:01 time: 0.7931 data_time: 0.0374 memory: 10476 loss: 0.5347 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0289 loss_cls: 0.1251 acc: 95.5078 loss_bbox: 0.1879 loss_mask: 0.1797 +2024/01/17 20:32:20 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 20:32:28 - mmengine - INFO - Epoch(train) [33][ 450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:22:22 time: 0.7973 data_time: 0.0291 memory: 9362 loss: 0.4520 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0229 loss_cls: 0.1066 acc: 97.0703 loss_bbox: 0.1518 loss_mask: 0.1561 +2024/01/17 20:33:07 - mmengine - INFO - Epoch(train) [33][ 500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:21:42 time: 0.7912 data_time: 0.0321 memory: 10423 loss: 0.4473 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0227 loss_cls: 0.0991 acc: 91.6016 loss_bbox: 0.1570 loss_mask: 0.1593 +2024/01/17 20:33:48 - mmengine - INFO - Epoch(train) [33][ 550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:21:02 time: 0.8033 data_time: 0.0348 memory: 10508 loss: 0.5356 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0264 loss_cls: 0.1259 acc: 93.9453 loss_bbox: 0.1851 loss_mask: 0.1861 +2024/01/17 20:34:28 - mmengine - INFO - Epoch(train) [33][ 600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:20:23 time: 0.8014 data_time: 0.0342 memory: 10255 loss: 0.5071 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0219 loss_cls: 0.1190 acc: 99.8047 loss_bbox: 0.1550 loss_mask: 0.1996 +2024/01/17 20:35:08 - mmengine - INFO - Epoch(train) [33][ 650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:19:43 time: 0.7968 data_time: 0.0339 memory: 10260 loss: 0.4216 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0204 loss_cls: 0.0971 acc: 94.3359 loss_bbox: 0.1425 loss_mask: 0.1529 +2024/01/17 20:35:48 - mmengine - INFO - Epoch(train) [33][ 700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:19:03 time: 0.7998 data_time: 0.0341 memory: 11026 loss: 0.5273 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0253 loss_cls: 0.1265 acc: 98.6328 loss_bbox: 0.1883 loss_mask: 0.1764 +2024/01/17 20:36:28 - mmengine - INFO - Epoch(train) [33][ 750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:18:23 time: 0.8025 data_time: 0.0336 memory: 10298 loss: 0.4438 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0261 loss_cls: 0.0970 acc: 98.2422 loss_bbox: 0.1492 loss_mask: 0.1551 +2024/01/17 20:37:08 - mmengine - INFO - Epoch(train) [33][ 800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:17:44 time: 0.8030 data_time: 0.0333 memory: 9459 loss: 0.5385 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0351 loss_cls: 0.1331 acc: 81.8359 loss_bbox: 0.1766 loss_mask: 0.1756 +2024/01/17 20:37:48 - mmengine - INFO - Epoch(train) [33][ 850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:17:04 time: 0.7977 data_time: 0.0293 memory: 9599 loss: 0.4981 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0179 loss_cls: 0.1161 acc: 95.5078 loss_bbox: 0.1653 loss_mask: 0.1843 +2024/01/17 20:38:27 - mmengine - INFO - Epoch(train) [33][ 900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:16:24 time: 0.7873 data_time: 0.0303 memory: 10572 loss: 0.4805 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0227 loss_cls: 0.1104 acc: 99.2188 loss_bbox: 0.1699 loss_mask: 0.1657 +2024/01/17 20:39:08 - mmengine - INFO - Epoch(train) [33][ 950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:15:45 time: 0.8052 data_time: 0.0326 memory: 9949 loss: 0.5741 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0235 loss_cls: 0.1393 acc: 83.2031 loss_bbox: 0.2106 loss_mask: 0.1811 +2024/01/17 20:39:47 - mmengine - INFO - Epoch(train) [33][1000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:15:05 time: 0.7905 data_time: 0.0276 memory: 8946 loss: 0.4459 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0205 loss_cls: 0.1011 acc: 94.3359 loss_bbox: 0.1531 loss_mask: 0.1616 +2024/01/17 20:40:28 - mmengine - INFO - Epoch(train) [33][1050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:14:25 time: 0.8107 data_time: 0.0312 memory: 10360 loss: 0.4804 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0278 loss_cls: 0.1180 acc: 99.4141 loss_bbox: 0.1573 loss_mask: 0.1617 +2024/01/17 20:41:07 - mmengine - INFO - Epoch(train) [33][1100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:13:45 time: 0.7927 data_time: 0.0287 memory: 9949 loss: 0.4845 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0229 loss_cls: 0.1153 acc: 92.1875 loss_bbox: 0.1675 loss_mask: 0.1641 +2024/01/17 20:41:47 - mmengine - INFO - Epoch(train) [33][1150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:13:06 time: 0.7997 data_time: 0.0296 memory: 9570 loss: 0.4062 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0174 loss_cls: 0.0924 acc: 95.3125 loss_bbox: 0.1401 loss_mask: 0.1489 +2024/01/17 20:42:28 - mmengine - INFO - Epoch(train) [33][1200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:12:26 time: 0.8013 data_time: 0.0411 memory: 10568 loss: 0.6279 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0385 loss_cls: 0.1449 acc: 100.0000 loss_bbox: 0.2233 loss_mask: 0.2049 +2024/01/17 20:43:08 - mmengine - INFO - Epoch(train) [33][1250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:11:46 time: 0.8069 data_time: 0.0338 memory: 10572 loss: 0.5743 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0266 loss_cls: 0.1461 acc: 99.6094 loss_bbox: 0.1993 loss_mask: 0.1818 +2024/01/17 20:43:48 - mmengine - INFO - Epoch(train) [33][1300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:11:07 time: 0.7942 data_time: 0.0343 memory: 10067 loss: 0.5764 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0272 loss_cls: 0.1357 acc: 94.3359 loss_bbox: 0.2033 loss_mask: 0.1935 +2024/01/17 20:44:28 - mmengine - INFO - Epoch(train) [33][1350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:10:27 time: 0.8001 data_time: 0.0366 memory: 11026 loss: 0.5276 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0398 loss_cls: 0.1291 acc: 89.2578 loss_bbox: 0.1802 loss_mask: 0.1660 +2024/01/17 20:45:08 - mmengine - INFO - Epoch(train) [33][1400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:09:47 time: 0.8003 data_time: 0.0311 memory: 9288 loss: 0.5098 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0253 loss_cls: 0.1202 acc: 99.2188 loss_bbox: 0.1691 loss_mask: 0.1814 +2024/01/17 20:45:39 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 20:45:47 - mmengine - INFO - Epoch(train) [33][1450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:09:07 time: 0.7768 data_time: 0.0320 memory: 9322 loss: 0.5155 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0256 loss_cls: 0.1363 acc: 99.2188 loss_bbox: 0.1646 loss_mask: 0.1746 +2024/01/17 20:46:27 - mmengine - INFO - Epoch(train) [33][1500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:08:28 time: 0.7991 data_time: 0.0344 memory: 11026 loss: 0.4704 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0259 loss_cls: 0.1038 acc: 96.8750 loss_bbox: 0.1583 loss_mask: 0.1710 +2024/01/17 20:47:06 - mmengine - INFO - Epoch(train) [33][1550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:07:48 time: 0.7775 data_time: 0.0324 memory: 9459 loss: 0.4980 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0253 loss_cls: 0.1141 acc: 93.9453 loss_bbox: 0.1697 loss_mask: 0.1710 +2024/01/17 20:47:46 - mmengine - INFO - Epoch(train) [33][1600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:07:08 time: 0.8037 data_time: 0.0352 memory: 10568 loss: 0.5158 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0264 loss_cls: 0.1268 acc: 100.0000 loss_bbox: 0.1782 loss_mask: 0.1725 +2024/01/17 20:48:27 - mmengine - INFO - Epoch(train) [33][1650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:06:29 time: 0.8129 data_time: 0.0321 memory: 10572 loss: 0.5486 loss_rpn_cls: 0.0180 loss_rpn_bbox: 0.0271 loss_cls: 0.1392 acc: 97.6562 loss_bbox: 0.1815 loss_mask: 0.1828 +2024/01/17 20:49:06 - mmengine - INFO - Epoch(train) [33][1700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:05:49 time: 0.7986 data_time: 0.0340 memory: 10285 loss: 0.5355 loss_rpn_cls: 0.0262 loss_rpn_bbox: 0.0306 loss_cls: 0.1221 acc: 90.4297 loss_bbox: 0.1813 loss_mask: 0.1752 +2024/01/17 20:49:46 - mmengine - INFO - Epoch(train) [33][1750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:05:09 time: 0.7992 data_time: 0.0400 memory: 10568 loss: 0.5531 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0278 loss_cls: 0.1306 acc: 91.6016 loss_bbox: 0.1998 loss_mask: 0.1837 +2024/01/17 20:50:26 - mmengine - INFO - Epoch(train) [33][1800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:04:29 time: 0.7985 data_time: 0.0306 memory: 10069 loss: 0.4959 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0290 loss_cls: 0.1093 acc: 91.6016 loss_bbox: 0.1660 loss_mask: 0.1731 +2024/01/17 20:51:06 - mmengine - INFO - Epoch(train) [33][1850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:03:50 time: 0.7806 data_time: 0.0325 memory: 9253 loss: 0.4794 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0219 loss_cls: 0.1034 acc: 86.5234 loss_bbox: 0.1623 loss_mask: 0.1802 +2024/01/17 20:51:46 - mmengine - INFO - Epoch(train) [33][1900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:03:10 time: 0.8084 data_time: 0.0386 memory: 10153 loss: 0.6278 loss_rpn_cls: 0.0248 loss_rpn_bbox: 0.0339 loss_cls: 0.1547 acc: 91.2109 loss_bbox: 0.2107 loss_mask: 0.2038 +2024/01/17 20:52:26 - mmengine - INFO - Epoch(train) [33][1950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:02:30 time: 0.8067 data_time: 0.0329 memory: 9737 loss: 0.4511 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0196 loss_cls: 0.1094 acc: 88.0859 loss_bbox: 0.1528 loss_mask: 0.1604 +2024/01/17 20:53:07 - mmengine - INFO - Epoch(train) [33][2000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:01:51 time: 0.8025 data_time: 0.0362 memory: 10715 loss: 0.4406 loss_rpn_cls: 0.0067 loss_rpn_bbox: 0.0209 loss_cls: 0.0961 acc: 96.8750 loss_bbox: 0.1588 loss_mask: 0.1581 +2024/01/17 20:53:46 - mmengine - INFO - Epoch(train) [33][2050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:01:11 time: 0.7896 data_time: 0.0305 memory: 10583 loss: 0.4540 loss_rpn_cls: 0.0217 loss_rpn_bbox: 0.0193 loss_cls: 0.1123 acc: 92.9688 loss_bbox: 0.1536 loss_mask: 0.1472 +2024/01/17 20:54:26 - mmengine - INFO - Epoch(train) [33][2100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 6:00:31 time: 0.8061 data_time: 0.0367 memory: 10582 loss: 0.4914 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0241 loss_cls: 0.1129 acc: 93.5547 loss_bbox: 0.1724 loss_mask: 0.1711 +2024/01/17 20:55:06 - mmengine - INFO - Epoch(train) [33][2150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:59:51 time: 0.7962 data_time: 0.0315 memory: 9650 loss: 0.5093 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0267 loss_cls: 0.1295 acc: 99.0234 loss_bbox: 0.1786 loss_mask: 0.1629 +2024/01/17 20:55:47 - mmengine - INFO - Epoch(train) [33][2200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:59:12 time: 0.8107 data_time: 0.0331 memory: 10153 loss: 0.5249 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0258 loss_cls: 0.1291 acc: 99.0234 loss_bbox: 0.1813 loss_mask: 0.1759 +2024/01/17 20:56:27 - mmengine - INFO - Epoch(train) [33][2250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:58:32 time: 0.7973 data_time: 0.0362 memory: 10572 loss: 0.6015 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0345 loss_cls: 0.1439 acc: 95.3125 loss_bbox: 0.1992 loss_mask: 0.2066 +2024/01/17 20:57:07 - mmengine - INFO - Epoch(train) [33][2300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:57:52 time: 0.8034 data_time: 0.0393 memory: 9436 loss: 0.5165 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0263 loss_cls: 0.1266 acc: 87.1094 loss_bbox: 0.1756 loss_mask: 0.1774 +2024/01/17 20:57:47 - mmengine - INFO - Epoch(train) [33][2350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:57:13 time: 0.7988 data_time: 0.0359 memory: 10067 loss: 0.5629 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0242 loss_cls: 0.1318 acc: 99.2188 loss_bbox: 0.1990 loss_mask: 0.1957 +2024/01/17 20:58:27 - mmengine - INFO - Epoch(train) [33][2400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:56:33 time: 0.8027 data_time: 0.0325 memory: 11517 loss: 0.5053 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0280 loss_cls: 0.1226 acc: 98.8281 loss_bbox: 0.1686 loss_mask: 0.1700 +2024/01/17 20:58:59 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 20:59:07 - mmengine - INFO - Epoch(train) [33][2450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:55:53 time: 0.7913 data_time: 0.0316 memory: 10087 loss: 0.5097 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0216 loss_cls: 0.1306 acc: 96.0938 loss_bbox: 0.1756 loss_mask: 0.1689 +2024/01/17 20:59:46 - mmengine - INFO - Epoch(train) [33][2500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:55:14 time: 0.7906 data_time: 0.0376 memory: 10067 loss: 0.5001 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0264 loss_cls: 0.1100 acc: 94.9219 loss_bbox: 0.1751 loss_mask: 0.1775 +2024/01/17 21:00:27 - mmengine - INFO - Epoch(train) [33][2550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:54:34 time: 0.8138 data_time: 0.0307 memory: 9599 loss: 0.5370 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0251 loss_cls: 0.1255 acc: 99.8047 loss_bbox: 0.1947 loss_mask: 0.1785 +2024/01/17 21:01:07 - mmengine - INFO - Epoch(train) [33][2600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:53:54 time: 0.8005 data_time: 0.0374 memory: 10221 loss: 0.4963 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0234 loss_cls: 0.1326 acc: 95.3125 loss_bbox: 0.1635 loss_mask: 0.1621 +2024/01/17 21:01:47 - mmengine - INFO - Epoch(train) [33][2650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:53:15 time: 0.8047 data_time: 0.0377 memory: 9901 loss: 0.5093 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0282 loss_cls: 0.1240 acc: 99.0234 loss_bbox: 0.1692 loss_mask: 0.1754 +2024/01/17 21:02:27 - mmengine - INFO - Epoch(train) [33][2700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:52:35 time: 0.7975 data_time: 0.0388 memory: 11099 loss: 0.5341 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0285 loss_cls: 0.1380 acc: 97.2656 loss_bbox: 0.1767 loss_mask: 0.1753 +2024/01/17 21:03:07 - mmengine - INFO - Epoch(train) [33][2750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:51:55 time: 0.7956 data_time: 0.0380 memory: 9949 loss: 0.5197 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0325 loss_cls: 0.1216 acc: 97.2656 loss_bbox: 0.1716 loss_mask: 0.1811 +2024/01/17 21:03:48 - mmengine - INFO - Epoch(train) [33][2800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:51:15 time: 0.8144 data_time: 0.0374 memory: 10571 loss: 0.5322 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0277 loss_cls: 0.1293 acc: 100.0000 loss_bbox: 0.1767 loss_mask: 0.1801 +2024/01/17 21:04:28 - mmengine - INFO - Epoch(train) [33][2850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:50:36 time: 0.8053 data_time: 0.0371 memory: 10986 loss: 0.5306 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0229 loss_cls: 0.1307 acc: 99.6094 loss_bbox: 0.1871 loss_mask: 0.1798 +2024/01/17 21:05:07 - mmengine - INFO - Epoch(train) [33][2900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:49:56 time: 0.7802 data_time: 0.0288 memory: 10299 loss: 0.4279 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0205 loss_cls: 0.0934 acc: 96.2891 loss_bbox: 0.1476 loss_mask: 0.1571 +2024/01/17 21:05:47 - mmengine - INFO - Epoch(train) [33][2950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:49:16 time: 0.8005 data_time: 0.0412 memory: 10568 loss: 0.5544 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0319 loss_cls: 0.1440 acc: 99.6094 loss_bbox: 0.1895 loss_mask: 0.1720 +2024/01/17 21:06:27 - mmengine - INFO - Epoch(train) [33][3000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:48:37 time: 0.7975 data_time: 0.0382 memory: 10067 loss: 0.5998 loss_rpn_cls: 0.0221 loss_rpn_bbox: 0.0374 loss_cls: 0.1563 acc: 97.4609 loss_bbox: 0.1982 loss_mask: 0.1859 +2024/01/17 21:07:07 - mmengine - INFO - Epoch(train) [33][3050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:47:57 time: 0.8027 data_time: 0.0358 memory: 9338 loss: 0.5395 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0316 loss_cls: 0.1256 acc: 98.4375 loss_bbox: 0.1889 loss_mask: 0.1741 +2024/01/17 21:07:47 - mmengine - INFO - Epoch(train) [33][3100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:47:17 time: 0.7896 data_time: 0.0305 memory: 10067 loss: 0.4311 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0208 loss_cls: 0.1017 acc: 87.1094 loss_bbox: 0.1473 loss_mask: 0.1522 +2024/01/17 21:08:27 - mmengine - INFO - Epoch(train) [33][3150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:46:37 time: 0.7977 data_time: 0.0352 memory: 9717 loss: 0.5313 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0260 loss_cls: 0.1340 acc: 89.6484 loss_bbox: 0.1769 loss_mask: 0.1788 +2024/01/17 21:09:06 - mmengine - INFO - Epoch(train) [33][3200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:45:58 time: 0.7832 data_time: 0.0296 memory: 10232 loss: 0.5197 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0258 loss_cls: 0.1116 acc: 86.7188 loss_bbox: 0.1881 loss_mask: 0.1812 +2024/01/17 21:09:46 - mmengine - INFO - Epoch(train) [33][3250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:45:18 time: 0.7932 data_time: 0.0295 memory: 10572 loss: 0.4693 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0227 loss_cls: 0.1152 acc: 97.6562 loss_bbox: 0.1584 loss_mask: 0.1607 +2024/01/17 21:10:26 - mmengine - INFO - Epoch(train) [33][3300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:44:38 time: 0.8088 data_time: 0.0334 memory: 10067 loss: 0.5627 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0324 loss_cls: 0.1338 acc: 100.0000 loss_bbox: 0.1967 loss_mask: 0.1863 +2024/01/17 21:11:07 - mmengine - INFO - Epoch(train) [33][3350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:43:59 time: 0.8163 data_time: 0.0372 memory: 10572 loss: 0.5237 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0290 loss_cls: 0.1308 acc: 98.4375 loss_bbox: 0.1705 loss_mask: 0.1790 +2024/01/17 21:11:47 - mmengine - INFO - Epoch(train) [33][3400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:43:19 time: 0.7939 data_time: 0.0340 memory: 10074 loss: 0.4790 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0290 loss_cls: 0.1146 acc: 95.8984 loss_bbox: 0.1489 loss_mask: 0.1694 +2024/01/17 21:12:19 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 21:12:27 - mmengine - INFO - Epoch(train) [33][3450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:42:39 time: 0.8079 data_time: 0.0337 memory: 11102 loss: 0.5182 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0262 loss_cls: 0.1268 acc: 83.2031 loss_bbox: 0.1698 loss_mask: 0.1783 +2024/01/17 21:13:08 - mmengine - INFO - Epoch(train) [33][3500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:41:59 time: 0.8097 data_time: 0.0266 memory: 9122 loss: 0.4298 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0163 loss_cls: 0.1000 acc: 99.4141 loss_bbox: 0.1374 loss_mask: 0.1640 +2024/01/17 21:13:47 - mmengine - INFO - Epoch(train) [33][3550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:41:20 time: 0.7806 data_time: 0.0282 memory: 10067 loss: 0.4306 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0186 loss_cls: 0.0877 acc: 100.0000 loss_bbox: 0.1454 loss_mask: 0.1692 +2024/01/17 21:14:27 - mmengine - INFO - Epoch(train) [33][3600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:40:40 time: 0.7950 data_time: 0.0347 memory: 10572 loss: 0.5433 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0276 loss_cls: 0.1236 acc: 100.0000 loss_bbox: 0.1897 loss_mask: 0.1834 +2024/01/17 21:15:06 - mmengine - INFO - Epoch(train) [33][3650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:40:00 time: 0.7885 data_time: 0.0360 memory: 10789 loss: 0.4910 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0320 loss_cls: 0.1175 acc: 93.1641 loss_bbox: 0.1670 loss_mask: 0.1561 +2024/01/17 21:15:46 - mmengine - INFO - Epoch(train) [33][3700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:39:20 time: 0.7946 data_time: 0.0316 memory: 10094 loss: 0.4234 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0176 loss_cls: 0.1023 acc: 97.0703 loss_bbox: 0.1483 loss_mask: 0.1469 +2024/01/17 21:16:25 - mmengine - INFO - Epoch(train) [33][3750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:38:41 time: 0.7863 data_time: 0.0283 memory: 10582 loss: 0.4507 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0195 loss_cls: 0.0926 acc: 95.5078 loss_bbox: 0.1432 loss_mask: 0.1765 +2024/01/17 21:17:05 - mmengine - INFO - Epoch(train) [33][3800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:38:01 time: 0.7975 data_time: 0.0347 memory: 10067 loss: 0.5233 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0228 loss_cls: 0.1256 acc: 99.6094 loss_bbox: 0.1860 loss_mask: 0.1745 +2024/01/17 21:17:45 - mmengine - INFO - Epoch(train) [33][3850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:37:21 time: 0.7954 data_time: 0.0362 memory: 10572 loss: 0.5290 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0272 loss_cls: 0.1191 acc: 98.2422 loss_bbox: 0.1821 loss_mask: 0.1839 +2024/01/17 21:18:25 - mmengine - INFO - Epoch(train) [33][3900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:36:41 time: 0.7966 data_time: 0.0330 memory: 10167 loss: 0.4401 loss_rpn_cls: 0.0058 loss_rpn_bbox: 0.0157 loss_cls: 0.1079 acc: 96.6797 loss_bbox: 0.1524 loss_mask: 0.1582 +2024/01/17 21:19:05 - mmengine - INFO - Epoch(train) [33][3950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:36:02 time: 0.7934 data_time: 0.0339 memory: 10153 loss: 0.5378 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0323 loss_cls: 0.1268 acc: 92.5781 loss_bbox: 0.1845 loss_mask: 0.1809 +2024/01/17 21:19:45 - mmengine - INFO - Epoch(train) [33][4000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:35:22 time: 0.8144 data_time: 0.0354 memory: 9601 loss: 0.4802 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0226 loss_cls: 0.1155 acc: 99.0234 loss_bbox: 0.1648 loss_mask: 0.1656 +2024/01/17 21:20:25 - mmengine - INFO - Epoch(train) [33][4050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:34:42 time: 0.8001 data_time: 0.0342 memory: 10572 loss: 0.4675 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0247 loss_cls: 0.1077 acc: 98.4375 loss_bbox: 0.1557 loss_mask: 0.1663 +2024/01/17 21:21:05 - mmengine - INFO - Epoch(train) [33][4100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:34:03 time: 0.7975 data_time: 0.0350 memory: 10875 loss: 0.5275 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0243 loss_cls: 0.1224 acc: 89.2578 loss_bbox: 0.1938 loss_mask: 0.1746 +2024/01/17 21:21:45 - mmengine - INFO - Epoch(train) [33][4150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:33:23 time: 0.8007 data_time: 0.0383 memory: 10572 loss: 0.5564 loss_rpn_cls: 0.0177 loss_rpn_bbox: 0.0271 loss_cls: 0.1406 acc: 97.8516 loss_bbox: 0.1964 loss_mask: 0.1746 +2024/01/17 21:22:26 - mmengine - INFO - Epoch(train) [33][4200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:32:43 time: 0.8080 data_time: 0.0339 memory: 10572 loss: 0.4488 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0230 loss_cls: 0.0976 acc: 99.6094 loss_bbox: 0.1539 loss_mask: 0.1626 +2024/01/17 21:23:06 - mmengine - INFO - Epoch(train) [33][4250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:32:04 time: 0.8047 data_time: 0.0325 memory: 10067 loss: 0.4986 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0244 loss_cls: 0.1167 acc: 98.2422 loss_bbox: 0.1798 loss_mask: 0.1649 +2024/01/17 21:23:47 - mmengine - INFO - Epoch(train) [33][4300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:31:24 time: 0.8079 data_time: 0.0337 memory: 9177 loss: 0.4661 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0185 loss_cls: 0.1122 acc: 99.4141 loss_bbox: 0.1636 loss_mask: 0.1591 +2024/01/17 21:24:26 - mmengine - INFO - Epoch(train) [33][4350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:30:44 time: 0.7957 data_time: 0.0322 memory: 10436 loss: 0.4920 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0228 loss_cls: 0.1109 acc: 95.3125 loss_bbox: 0.1720 loss_mask: 0.1727 +2024/01/17 21:25:07 - mmengine - INFO - Epoch(train) [33][4400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:30:04 time: 0.8033 data_time: 0.0310 memory: 10652 loss: 0.4999 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0258 loss_cls: 0.1113 acc: 97.4609 loss_bbox: 0.1659 loss_mask: 0.1823 +2024/01/17 21:25:39 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 21:25:46 - mmengine - INFO - Epoch(train) [33][4450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:29:25 time: 0.7954 data_time: 0.0311 memory: 10453 loss: 0.4654 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0234 loss_cls: 0.1150 acc: 94.5312 loss_bbox: 0.1542 loss_mask: 0.1601 +2024/01/17 21:26:25 - mmengine - INFO - Epoch(train) [33][4500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:28:45 time: 0.7785 data_time: 0.0317 memory: 10106 loss: 0.4454 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0252 loss_cls: 0.1023 acc: 84.3750 loss_bbox: 0.1443 loss_mask: 0.1620 +2024/01/17 21:27:05 - mmengine - INFO - Epoch(train) [33][4550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:28:05 time: 0.7952 data_time: 0.0322 memory: 10264 loss: 0.5064 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0268 loss_cls: 0.1132 acc: 91.6016 loss_bbox: 0.1779 loss_mask: 0.1796 +2024/01/17 21:27:45 - mmengine - INFO - Epoch(train) [33][4600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:27:25 time: 0.7964 data_time: 0.0349 memory: 10067 loss: 0.5838 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0292 loss_cls: 0.1463 acc: 96.6797 loss_bbox: 0.2057 loss_mask: 0.1880 +2024/01/17 21:28:25 - mmengine - INFO - Epoch(train) [33][4650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:26:46 time: 0.8039 data_time: 0.0349 memory: 10401 loss: 0.5174 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0253 loss_cls: 0.1225 acc: 85.9375 loss_bbox: 0.1835 loss_mask: 0.1764 +2024/01/17 21:29:05 - mmengine - INFO - Epoch(train) [33][4700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:26:06 time: 0.7993 data_time: 0.0351 memory: 10568 loss: 0.5090 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0248 loss_cls: 0.1238 acc: 99.4141 loss_bbox: 0.1757 loss_mask: 0.1711 +2024/01/17 21:29:45 - mmengine - INFO - Epoch(train) [33][4750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:25:26 time: 0.7998 data_time: 0.0370 memory: 10727 loss: 0.4508 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0222 loss_cls: 0.1031 acc: 91.0156 loss_bbox: 0.1492 loss_mask: 0.1658 +2024/01/17 21:30:26 - mmengine - INFO - Epoch(train) [33][4800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:24:47 time: 0.8085 data_time: 0.0340 memory: 10274 loss: 0.4560 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0248 loss_cls: 0.1064 acc: 99.6094 loss_bbox: 0.1533 loss_mask: 0.1562 +2024/01/17 21:31:05 - mmengine - INFO - Epoch(train) [33][4850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:24:07 time: 0.7936 data_time: 0.0294 memory: 9549 loss: 0.4548 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0219 loss_cls: 0.0929 acc: 97.0703 loss_bbox: 0.1573 loss_mask: 0.1739 +2024/01/17 21:31:46 - mmengine - INFO - Epoch(train) [33][4900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:23:27 time: 0.8031 data_time: 0.0391 memory: 10572 loss: 0.5735 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0292 loss_cls: 0.1488 acc: 85.5469 loss_bbox: 0.1964 loss_mask: 0.1804 +2024/01/17 21:32:26 - mmengine - INFO - Epoch(train) [33][4950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:22:48 time: 0.7981 data_time: 0.0394 memory: 10133 loss: 0.5214 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0257 loss_cls: 0.1325 acc: 99.0234 loss_bbox: 0.1767 loss_mask: 0.1726 +2024/01/17 21:33:05 - mmengine - INFO - Epoch(train) [33][5000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:22:08 time: 0.7941 data_time: 0.0330 memory: 9949 loss: 0.5063 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0235 loss_cls: 0.1179 acc: 99.4141 loss_bbox: 0.1694 loss_mask: 0.1835 +2024/01/17 21:33:46 - mmengine - INFO - Epoch(train) [33][5050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:21:28 time: 0.8148 data_time: 0.0306 memory: 9850 loss: 0.4435 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0162 loss_cls: 0.0949 acc: 94.7266 loss_bbox: 0.1584 loss_mask: 0.1664 +2024/01/17 21:34:27 - mmengine - INFO - Epoch(train) [33][5100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:20:48 time: 0.8072 data_time: 0.0369 memory: 9449 loss: 0.4884 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0225 loss_cls: 0.1168 acc: 97.4609 loss_bbox: 0.1706 loss_mask: 0.1675 +2024/01/17 21:35:06 - mmengine - INFO - Epoch(train) [33][5150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:20:09 time: 0.7890 data_time: 0.0360 memory: 9253 loss: 0.4008 loss_rpn_cls: 0.0073 loss_rpn_bbox: 0.0159 loss_cls: 0.0938 acc: 99.8047 loss_bbox: 0.1292 loss_mask: 0.1545 +2024/01/17 21:35:46 - mmengine - INFO - Epoch(train) [33][5200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:19:29 time: 0.7899 data_time: 0.0319 memory: 10572 loss: 0.5533 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0271 loss_cls: 0.1382 acc: 87.1094 loss_bbox: 0.1927 loss_mask: 0.1769 +2024/01/17 21:36:26 - mmengine - INFO - Epoch(train) [33][5250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:18:49 time: 0.8062 data_time: 0.0318 memory: 10789 loss: 0.4978 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0270 loss_cls: 0.1184 acc: 90.4297 loss_bbox: 0.1749 loss_mask: 0.1628 +2024/01/17 21:37:05 - mmengine - INFO - Epoch(train) [33][5300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:18:09 time: 0.7846 data_time: 0.0339 memory: 9601 loss: 0.5238 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0225 loss_cls: 0.1338 acc: 94.9219 loss_bbox: 0.1810 loss_mask: 0.1710 +2024/01/17 21:37:45 - mmengine - INFO - Epoch(train) [33][5350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:17:30 time: 0.8045 data_time: 0.0305 memory: 10568 loss: 0.4949 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0272 loss_cls: 0.1060 acc: 99.6094 loss_bbox: 0.1695 loss_mask: 0.1755 +2024/01/17 21:38:25 - mmengine - INFO - Epoch(train) [33][5400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:16:50 time: 0.7888 data_time: 0.0342 memory: 10067 loss: 0.3916 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0203 loss_cls: 0.0905 acc: 96.8750 loss_bbox: 0.1269 loss_mask: 0.1450 +2024/01/17 21:38:56 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 21:39:04 - mmengine - INFO - Epoch(train) [33][5450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:16:10 time: 0.7862 data_time: 0.0344 memory: 9180 loss: 0.5087 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0222 loss_cls: 0.1225 acc: 96.8750 loss_bbox: 0.1768 loss_mask: 0.1750 +2024/01/17 21:39:44 - mmengine - INFO - Epoch(train) [33][5500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:15:30 time: 0.7849 data_time: 0.0325 memory: 10572 loss: 0.4722 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0227 loss_cls: 0.1143 acc: 97.6562 loss_bbox: 0.1572 loss_mask: 0.1663 +2024/01/17 21:40:24 - mmengine - INFO - Epoch(train) [33][5550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:14:51 time: 0.8025 data_time: 0.0288 memory: 10730 loss: 0.4273 loss_rpn_cls: 0.0088 loss_rpn_bbox: 0.0189 loss_cls: 0.1018 acc: 97.6562 loss_bbox: 0.1401 loss_mask: 0.1577 +2024/01/17 21:41:04 - mmengine - INFO - Epoch(train) [33][5600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:14:11 time: 0.7983 data_time: 0.0346 memory: 10571 loss: 0.5255 loss_rpn_cls: 0.0084 loss_rpn_bbox: 0.0220 loss_cls: 0.1228 acc: 95.8984 loss_bbox: 0.1811 loss_mask: 0.1912 +2024/01/17 21:41:44 - mmengine - INFO - Epoch(train) [33][5650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:13:31 time: 0.8026 data_time: 0.0332 memory: 9732 loss: 0.4951 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0253 loss_cls: 0.1169 acc: 97.4609 loss_bbox: 0.1668 loss_mask: 0.1754 +2024/01/17 21:42:24 - mmengine - INFO - Epoch(train) [33][5700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:12:52 time: 0.8032 data_time: 0.0333 memory: 10875 loss: 0.4767 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0260 loss_cls: 0.1079 acc: 94.5312 loss_bbox: 0.1749 loss_mask: 0.1568 +2024/01/17 21:43:04 - mmengine - INFO - Epoch(train) [33][5750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:12:12 time: 0.7914 data_time: 0.0329 memory: 10572 loss: 0.5199 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0251 loss_cls: 0.1236 acc: 95.3125 loss_bbox: 0.1704 loss_mask: 0.1869 +2024/01/17 21:43:43 - mmengine - INFO - Epoch(train) [33][5800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:11:32 time: 0.7865 data_time: 0.0331 memory: 9733 loss: 0.4633 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0214 loss_cls: 0.1071 acc: 98.0469 loss_bbox: 0.1549 loss_mask: 0.1662 +2024/01/17 21:44:22 - mmengine - INFO - Epoch(train) [33][5850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:10:52 time: 0.7775 data_time: 0.0305 memory: 10220 loss: 0.4529 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0178 loss_cls: 0.1104 acc: 99.6094 loss_bbox: 0.1558 loss_mask: 0.1595 +2024/01/17 21:45:02 - mmengine - INFO - Epoch(train) [33][5900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:10:13 time: 0.8003 data_time: 0.0368 memory: 9573 loss: 0.5328 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0265 loss_cls: 0.1312 acc: 97.6562 loss_bbox: 0.1892 loss_mask: 0.1674 +2024/01/17 21:45:42 - mmengine - INFO - Epoch(train) [33][5950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:09:33 time: 0.8021 data_time: 0.0369 memory: 10157 loss: 0.5752 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0320 loss_cls: 0.1498 acc: 85.1562 loss_bbox: 0.1972 loss_mask: 0.1761 +2024/01/17 21:46:22 - mmengine - INFO - Epoch(train) [33][6000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:08:53 time: 0.7904 data_time: 0.0362 memory: 10572 loss: 0.5288 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0286 loss_cls: 0.1219 acc: 98.8281 loss_bbox: 0.1861 loss_mask: 0.1765 +2024/01/17 21:47:02 - mmengine - INFO - Epoch(train) [33][6050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:08:13 time: 0.8091 data_time: 0.0365 memory: 11026 loss: 0.5434 loss_rpn_cls: 0.0268 loss_rpn_bbox: 0.0311 loss_cls: 0.1310 acc: 98.0469 loss_bbox: 0.1723 loss_mask: 0.1822 +2024/01/17 21:47:42 - mmengine - INFO - Epoch(train) [33][6100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:07:34 time: 0.7904 data_time: 0.0304 memory: 10572 loss: 0.4310 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0189 loss_cls: 0.1050 acc: 98.2422 loss_bbox: 0.1446 loss_mask: 0.1522 +2024/01/17 21:48:22 - mmengine - INFO - Epoch(train) [33][6150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:06:54 time: 0.8038 data_time: 0.0359 memory: 9949 loss: 0.5262 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0277 loss_cls: 0.1190 acc: 93.1641 loss_bbox: 0.1773 loss_mask: 0.1914 +2024/01/17 21:49:02 - mmengine - INFO - Epoch(train) [33][6200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:06:14 time: 0.7976 data_time: 0.0353 memory: 10212 loss: 0.5146 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0284 loss_cls: 0.1275 acc: 93.7500 loss_bbox: 0.1777 loss_mask: 0.1669 +2024/01/17 21:49:42 - mmengine - INFO - Epoch(train) [33][6250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:05:35 time: 0.7898 data_time: 0.0336 memory: 11313 loss: 0.4513 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0258 loss_cls: 0.1068 acc: 92.1875 loss_bbox: 0.1494 loss_mask: 0.1553 +2024/01/17 21:50:21 - mmengine - INFO - Epoch(train) [33][6300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:04:55 time: 0.7940 data_time: 0.0386 memory: 9180 loss: 0.4765 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0244 loss_cls: 0.1185 acc: 99.8047 loss_bbox: 0.1563 loss_mask: 0.1607 +2024/01/17 21:51:01 - mmengine - INFO - Epoch(train) [33][6350/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:04:15 time: 0.7902 data_time: 0.0345 memory: 10788 loss: 0.5453 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0333 loss_cls: 0.1286 acc: 99.2188 loss_bbox: 0.1837 loss_mask: 0.1841 +2024/01/17 21:51:41 - mmengine - INFO - Epoch(train) [33][6400/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:03:35 time: 0.7967 data_time: 0.0339 memory: 10176 loss: 0.5309 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0327 loss_cls: 0.1308 acc: 99.6094 loss_bbox: 0.1824 loss_mask: 0.1732 +2024/01/17 21:52:12 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 21:52:20 - mmengine - INFO - Epoch(train) [33][6450/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:02:56 time: 0.7912 data_time: 0.0325 memory: 9253 loss: 0.4894 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0258 loss_cls: 0.1164 acc: 92.5781 loss_bbox: 0.1770 loss_mask: 0.1600 +2024/01/17 21:53:00 - mmengine - INFO - Epoch(train) [33][6500/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:02:16 time: 0.7962 data_time: 0.0347 memory: 10572 loss: 0.4859 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0211 loss_cls: 0.1185 acc: 94.5312 loss_bbox: 0.1745 loss_mask: 0.1604 +2024/01/17 21:53:41 - mmengine - INFO - Epoch(train) [33][6550/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:01:36 time: 0.8156 data_time: 0.0346 memory: 11026 loss: 0.4553 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0207 loss_cls: 0.1144 acc: 100.0000 loss_bbox: 0.1492 loss_mask: 0.1585 +2024/01/17 21:54:20 - mmengine - INFO - Epoch(train) [33][6600/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:00:56 time: 0.7878 data_time: 0.0330 memory: 10284 loss: 0.5596 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0288 loss_cls: 0.1356 acc: 99.0234 loss_bbox: 0.1948 loss_mask: 0.1874 +2024/01/17 21:55:00 - mmengine - INFO - Epoch(train) [33][6650/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 5:00:17 time: 0.7949 data_time: 0.0342 memory: 10508 loss: 0.5439 loss_rpn_cls: 0.0239 loss_rpn_bbox: 0.0381 loss_cls: 0.1259 acc: 96.8750 loss_bbox: 0.1816 loss_mask: 0.1743 +2024/01/17 21:55:41 - mmengine - INFO - Epoch(train) [33][6700/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:59:37 time: 0.8065 data_time: 0.0399 memory: 11102 loss: 0.5952 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0315 loss_cls: 0.1505 acc: 97.4609 loss_bbox: 0.2087 loss_mask: 0.1858 +2024/01/17 21:56:20 - mmengine - INFO - Epoch(train) [33][6750/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:58:57 time: 0.7828 data_time: 0.0339 memory: 10074 loss: 0.5294 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0298 loss_cls: 0.1235 acc: 93.7500 loss_bbox: 0.1861 loss_mask: 0.1741 +2024/01/17 21:56:59 - mmengine - INFO - Epoch(train) [33][6800/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:58:17 time: 0.7933 data_time: 0.0336 memory: 10483 loss: 0.5075 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0279 loss_cls: 0.1173 acc: 92.7734 loss_bbox: 0.1739 loss_mask: 0.1769 +2024/01/17 21:57:39 - mmengine - INFO - Epoch(train) [33][6850/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:57:38 time: 0.7861 data_time: 0.0352 memory: 10067 loss: 0.5058 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0307 loss_cls: 0.1255 acc: 91.6016 loss_bbox: 0.1593 loss_mask: 0.1696 +2024/01/17 21:58:19 - mmengine - INFO - Epoch(train) [33][6900/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:56:58 time: 0.8107 data_time: 0.0327 memory: 9737 loss: 0.5435 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0207 loss_cls: 0.1322 acc: 96.2891 loss_bbox: 0.1978 loss_mask: 0.1723 +2024/01/17 21:59:00 - mmengine - INFO - Epoch(train) [33][6950/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:56:18 time: 0.8068 data_time: 0.0332 memory: 10572 loss: 0.5164 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0269 loss_cls: 0.1191 acc: 98.2422 loss_bbox: 0.1768 loss_mask: 0.1828 +2024/01/17 21:59:39 - mmengine - INFO - Epoch(train) [33][7000/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:55:39 time: 0.7948 data_time: 0.0380 memory: 10298 loss: 0.5429 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0325 loss_cls: 0.1295 acc: 96.4844 loss_bbox: 0.1913 loss_mask: 0.1763 +2024/01/17 22:00:20 - mmengine - INFO - Epoch(train) [33][7050/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:54:59 time: 0.8034 data_time: 0.0341 memory: 10605 loss: 0.5086 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0258 loss_cls: 0.1265 acc: 92.3828 loss_bbox: 0.1661 loss_mask: 0.1776 +2024/01/17 22:01:00 - mmengine - INFO - Epoch(train) [33][7100/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:54:19 time: 0.8006 data_time: 0.0290 memory: 10292 loss: 0.5498 loss_rpn_cls: 0.0185 loss_rpn_bbox: 0.0257 loss_cls: 0.1449 acc: 99.0234 loss_bbox: 0.1911 loss_mask: 0.1695 +2024/01/17 22:01:40 - mmengine - INFO - Epoch(train) [33][7150/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:53:39 time: 0.7957 data_time: 0.0342 memory: 9601 loss: 0.4817 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0254 loss_cls: 0.1200 acc: 93.1641 loss_bbox: 0.1568 loss_mask: 0.1645 +2024/01/17 22:02:19 - mmengine - INFO - Epoch(train) [33][7200/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:53:00 time: 0.7943 data_time: 0.0368 memory: 10568 loss: 0.5070 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0246 loss_cls: 0.1214 acc: 91.0156 loss_bbox: 0.1799 loss_mask: 0.1699 +2024/01/17 22:02:59 - mmengine - INFO - Epoch(train) [33][7250/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:52:20 time: 0.7960 data_time: 0.0370 memory: 11102 loss: 0.5549 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0277 loss_cls: 0.1213 acc: 91.4062 loss_bbox: 0.1972 loss_mask: 0.1971 +2024/01/17 22:03:40 - mmengine - INFO - Epoch(train) [33][7300/7330] base_lr: 1.0000e-05 lr: 1.0000e-05 eta: 4:51:40 time: 0.8162 data_time: 0.0362 memory: 10361 loss: 0.5548 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0245 loss_cls: 0.1389 acc: 99.8047 loss_bbox: 0.1987 loss_mask: 0.1809 +2024/01/17 22:04:04 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 22:04:04 - mmengine - INFO - Saving checkpoint at 33 epochs +2024/01/17 22:04:19 - mmengine - INFO - Epoch(val) [33][ 50/313] eta: 0:00:58 time: 0.2234 data_time: 0.0658 memory: 9712 +2024/01/17 22:04:29 - mmengine - INFO - Epoch(val) [33][100/313] eta: 0:00:44 time: 0.1991 data_time: 0.0409 memory: 2388 +2024/01/17 22:04:38 - mmengine - INFO - Epoch(val) [33][150/313] eta: 0:00:32 time: 0.1816 data_time: 0.0273 memory: 2431 +2024/01/17 22:04:48 - mmengine - INFO - Epoch(val) [33][200/313] eta: 0:00:22 time: 0.2059 data_time: 0.0474 memory: 2403 +2024/01/17 22:04:57 - mmengine - INFO - Epoch(val) [33][250/313] eta: 0:00:12 time: 0.1807 data_time: 0.0282 memory: 2431 +2024/01/17 22:05:07 - mmengine - INFO - Epoch(val) [33][300/313] eta: 0:00:02 time: 0.1965 data_time: 0.0398 memory: 2403 +2024/01/17 22:05:14 - mmengine - INFO - Evaluating bbox... +2024/01/17 22:05:34 - mmengine - INFO - bbox_mAP_copypaste: 0.496 0.702 0.542 0.323 0.531 0.658 +2024/01/17 22:05:34 - mmengine - INFO - Evaluating segm... +2024/01/17 22:05:57 - mmengine - INFO - segm_mAP_copypaste: 0.440 0.674 0.472 0.242 0.470 0.629 +2024/01/17 22:05:57 - mmengine - INFO - Epoch(val) [33][313/313] coco/bbox_mAP: 0.4960 coco/bbox_mAP_50: 0.7020 coco/bbox_mAP_75: 0.5420 coco/bbox_mAP_s: 0.3230 coco/bbox_mAP_m: 0.5310 coco/bbox_mAP_l: 0.6580 coco/segm_mAP: 0.4400 coco/segm_mAP_50: 0.6740 coco/segm_mAP_75: 0.4720 coco/segm_mAP_s: 0.2420 coco/segm_mAP_m: 0.4700 coco/segm_mAP_l: 0.6290 data_time: 0.0399 time: 0.1969 +2024/01/17 22:06:39 - mmengine - INFO - Epoch(train) [34][ 50/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:50:37 time: 0.8240 data_time: 0.0453 memory: 9601 loss: 0.4763 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0266 loss_cls: 0.1133 acc: 97.2656 loss_bbox: 0.1682 loss_mask: 0.1547 +2024/01/17 22:07:18 - mmengine - INFO - Epoch(train) [34][ 100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:49:57 time: 0.7933 data_time: 0.0332 memory: 9882 loss: 0.5557 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0294 loss_cls: 0.1249 acc: 94.1406 loss_bbox: 0.1850 loss_mask: 0.2006 +2024/01/17 22:07:26 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 22:07:59 - mmengine - INFO - Epoch(train) [34][ 150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:49:17 time: 0.8048 data_time: 0.0364 memory: 10813 loss: 0.5922 loss_rpn_cls: 0.0257 loss_rpn_bbox: 0.0377 loss_cls: 0.1318 acc: 100.0000 loss_bbox: 0.1998 loss_mask: 0.1972 +2024/01/17 22:08:39 - mmengine - INFO - Epoch(train) [34][ 200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:48:38 time: 0.8137 data_time: 0.0318 memory: 10986 loss: 0.4436 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0261 loss_cls: 0.1055 acc: 97.8516 loss_bbox: 0.1473 loss_mask: 0.1503 +2024/01/17 22:09:19 - mmengine - INFO - Epoch(train) [34][ 250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:47:58 time: 0.7960 data_time: 0.0333 memory: 10233 loss: 0.4759 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0184 loss_cls: 0.1046 acc: 89.2578 loss_bbox: 0.1565 loss_mask: 0.1818 +2024/01/17 22:09:59 - mmengine - INFO - Epoch(train) [34][ 300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:47:18 time: 0.7871 data_time: 0.0428 memory: 11061 loss: 0.5291 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0276 loss_cls: 0.1348 acc: 93.7500 loss_bbox: 0.1759 loss_mask: 0.1753 +2024/01/17 22:10:39 - mmengine - INFO - Epoch(train) [34][ 350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:46:39 time: 0.7995 data_time: 0.0315 memory: 10087 loss: 0.4938 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0236 loss_cls: 0.1198 acc: 89.8438 loss_bbox: 0.1695 loss_mask: 0.1687 +2024/01/17 22:11:19 - mmengine - INFO - Epoch(train) [34][ 400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:45:59 time: 0.8074 data_time: 0.0300 memory: 11099 loss: 0.4612 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0208 loss_cls: 0.1078 acc: 95.8984 loss_bbox: 0.1581 loss_mask: 0.1638 +2024/01/17 22:11:59 - mmengine - INFO - Epoch(train) [34][ 450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:45:19 time: 0.7985 data_time: 0.0402 memory: 10067 loss: 0.4988 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0335 loss_cls: 0.1156 acc: 81.4453 loss_bbox: 0.1723 loss_mask: 0.1625 +2024/01/17 22:12:39 - mmengine - INFO - Epoch(train) [34][ 500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:44:39 time: 0.8079 data_time: 0.0344 memory: 10568 loss: 0.4990 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0283 loss_cls: 0.1082 acc: 99.2188 loss_bbox: 0.1530 loss_mask: 0.1900 +2024/01/17 22:13:19 - mmengine - INFO - Epoch(train) [34][ 550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:44:00 time: 0.7915 data_time: 0.0323 memory: 9850 loss: 0.4941 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0247 loss_cls: 0.1243 acc: 98.0469 loss_bbox: 0.1685 loss_mask: 0.1594 +2024/01/17 22:14:00 - mmengine - INFO - Epoch(train) [34][ 600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:43:20 time: 0.8148 data_time: 0.0391 memory: 10572 loss: 0.5917 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0260 loss_cls: 0.1389 acc: 97.4609 loss_bbox: 0.2130 loss_mask: 0.1955 +2024/01/17 22:14:41 - mmengine - INFO - Epoch(train) [34][ 650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:42:40 time: 0.8137 data_time: 0.0337 memory: 11517 loss: 0.6049 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0281 loss_cls: 0.1512 acc: 91.7969 loss_bbox: 0.2199 loss_mask: 0.1901 +2024/01/17 22:15:20 - mmengine - INFO - Epoch(train) [34][ 700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:42:01 time: 0.7928 data_time: 0.0323 memory: 10572 loss: 0.5415 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0303 loss_cls: 0.1263 acc: 89.8438 loss_bbox: 0.1917 loss_mask: 0.1783 +2024/01/17 22:16:00 - mmengine - INFO - Epoch(train) [34][ 750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:41:21 time: 0.7895 data_time: 0.0292 memory: 10568 loss: 0.4749 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0226 loss_cls: 0.1141 acc: 98.4375 loss_bbox: 0.1521 loss_mask: 0.1689 +2024/01/17 22:16:40 - mmengine - INFO - Epoch(train) [34][ 800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:40:41 time: 0.8114 data_time: 0.0367 memory: 9737 loss: 0.5895 loss_rpn_cls: 0.0242 loss_rpn_bbox: 0.0382 loss_cls: 0.1396 acc: 98.4375 loss_bbox: 0.2050 loss_mask: 0.1825 +2024/01/17 22:17:20 - mmengine - INFO - Epoch(train) [34][ 850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:40:01 time: 0.7985 data_time: 0.0283 memory: 9733 loss: 0.4247 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0183 loss_cls: 0.0968 acc: 96.2891 loss_bbox: 0.1496 loss_mask: 0.1515 +2024/01/17 22:18:01 - mmengine - INFO - Epoch(train) [34][ 900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:39:22 time: 0.8057 data_time: 0.0310 memory: 11095 loss: 0.4559 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0199 loss_cls: 0.1004 acc: 99.4141 loss_bbox: 0.1556 loss_mask: 0.1698 +2024/01/17 22:18:41 - mmengine - INFO - Epoch(train) [34][ 950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:38:42 time: 0.7994 data_time: 0.0325 memory: 10238 loss: 0.4657 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0235 loss_cls: 0.1118 acc: 99.6094 loss_bbox: 0.1530 loss_mask: 0.1671 +2024/01/17 22:19:20 - mmengine - INFO - Epoch(train) [34][1000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:38:02 time: 0.7926 data_time: 0.0323 memory: 9598 loss: 0.4507 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0215 loss_cls: 0.1163 acc: 92.3828 loss_bbox: 0.1501 loss_mask: 0.1542 +2024/01/17 22:20:00 - mmengine - INFO - Epoch(train) [34][1050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:37:23 time: 0.7864 data_time: 0.0325 memory: 10192 loss: 0.5241 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0252 loss_cls: 0.1187 acc: 98.4375 loss_bbox: 0.1900 loss_mask: 0.1753 +2024/01/17 22:20:39 - mmengine - INFO - Epoch(train) [34][1100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:36:43 time: 0.7892 data_time: 0.0338 memory: 10067 loss: 0.5187 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0246 loss_cls: 0.1242 acc: 98.2422 loss_bbox: 0.1788 loss_mask: 0.1808 +2024/01/17 22:20:48 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 22:21:20 - mmengine - INFO - Epoch(train) [34][1150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:36:03 time: 0.8073 data_time: 0.0396 memory: 10572 loss: 0.5818 loss_rpn_cls: 0.0192 loss_rpn_bbox: 0.0268 loss_cls: 0.1448 acc: 95.5078 loss_bbox: 0.1956 loss_mask: 0.1954 +2024/01/17 22:21:59 - mmengine - INFO - Epoch(train) [34][1200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:35:23 time: 0.7871 data_time: 0.0342 memory: 10278 loss: 0.5554 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0241 loss_cls: 0.1326 acc: 93.1641 loss_bbox: 0.1869 loss_mask: 0.1985 +2024/01/17 22:22:39 - mmengine - INFO - Epoch(train) [34][1250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:34:44 time: 0.7900 data_time: 0.0325 memory: 11102 loss: 0.4954 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0264 loss_cls: 0.1083 acc: 95.3125 loss_bbox: 0.1701 loss_mask: 0.1763 +2024/01/17 22:23:19 - mmengine - INFO - Epoch(train) [34][1300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:34:04 time: 0.8114 data_time: 0.0388 memory: 10013 loss: 0.5297 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0282 loss_cls: 0.1280 acc: 99.2188 loss_bbox: 0.1828 loss_mask: 0.1791 +2024/01/17 22:24:00 - mmengine - INFO - Epoch(train) [34][1350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:33:24 time: 0.8190 data_time: 0.0349 memory: 10572 loss: 0.5669 loss_rpn_cls: 0.0200 loss_rpn_bbox: 0.0340 loss_cls: 0.1417 acc: 87.8906 loss_bbox: 0.1829 loss_mask: 0.1883 +2024/01/17 22:24:41 - mmengine - INFO - Epoch(train) [34][1400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:32:45 time: 0.8139 data_time: 0.0351 memory: 11102 loss: 0.4533 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0193 loss_cls: 0.1016 acc: 94.9219 loss_bbox: 0.1512 loss_mask: 0.1679 +2024/01/17 22:25:20 - mmengine - INFO - Epoch(train) [34][1450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:32:05 time: 0.7837 data_time: 0.0340 memory: 10298 loss: 0.5167 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0261 loss_cls: 0.1176 acc: 87.8906 loss_bbox: 0.1856 loss_mask: 0.1734 +2024/01/17 22:25:59 - mmengine - INFO - Epoch(train) [34][1500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:31:25 time: 0.7801 data_time: 0.0299 memory: 10067 loss: 0.4487 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0212 loss_cls: 0.1045 acc: 100.0000 loss_bbox: 0.1397 loss_mask: 0.1723 +2024/01/17 22:26:39 - mmengine - INFO - Epoch(train) [34][1550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:30:45 time: 0.8026 data_time: 0.0362 memory: 10572 loss: 0.5565 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0318 loss_cls: 0.1398 acc: 90.2344 loss_bbox: 0.1899 loss_mask: 0.1796 +2024/01/17 22:27:19 - mmengine - INFO - Epoch(train) [34][1600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:30:06 time: 0.7964 data_time: 0.0342 memory: 10067 loss: 0.5340 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0258 loss_cls: 0.1325 acc: 97.0703 loss_bbox: 0.1863 loss_mask: 0.1760 +2024/01/17 22:27:59 - mmengine - INFO - Epoch(train) [34][1650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:29:26 time: 0.8010 data_time: 0.0318 memory: 10568 loss: 0.4358 loss_rpn_cls: 0.0086 loss_rpn_bbox: 0.0180 loss_cls: 0.1036 acc: 99.4141 loss_bbox: 0.1414 loss_mask: 0.1642 +2024/01/17 22:28:40 - mmengine - INFO - Epoch(train) [34][1700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:28:46 time: 0.8089 data_time: 0.0367 memory: 10179 loss: 0.5548 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0327 loss_cls: 0.1352 acc: 98.2422 loss_bbox: 0.1840 loss_mask: 0.1869 +2024/01/17 22:29:20 - mmengine - INFO - Epoch(train) [34][1750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:28:06 time: 0.8075 data_time: 0.0294 memory: 10304 loss: 0.4623 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0211 loss_cls: 0.1043 acc: 85.9375 loss_bbox: 0.1562 loss_mask: 0.1690 +2024/01/17 22:30:00 - mmengine - INFO - Epoch(train) [34][1800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:27:27 time: 0.7883 data_time: 0.0315 memory: 10215 loss: 0.4769 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0212 loss_cls: 0.1090 acc: 92.7734 loss_bbox: 0.1560 loss_mask: 0.1772 +2024/01/17 22:30:40 - mmengine - INFO - Epoch(train) [34][1850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:26:47 time: 0.7997 data_time: 0.0427 memory: 9800 loss: 0.5636 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0302 loss_cls: 0.1442 acc: 94.1406 loss_bbox: 0.1928 loss_mask: 0.1798 +2024/01/17 22:31:20 - mmengine - INFO - Epoch(train) [34][1900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:26:07 time: 0.8051 data_time: 0.0356 memory: 10067 loss: 0.4440 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0206 loss_cls: 0.0961 acc: 98.0469 loss_bbox: 0.1494 loss_mask: 0.1686 +2024/01/17 22:32:00 - mmengine - INFO - Epoch(train) [34][1950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:25:28 time: 0.7984 data_time: 0.0321 memory: 10712 loss: 0.4140 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0143 loss_cls: 0.0902 acc: 98.6328 loss_bbox: 0.1339 loss_mask: 0.1684 +2024/01/17 22:32:39 - mmengine - INFO - Epoch(train) [34][2000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:24:48 time: 0.7877 data_time: 0.0331 memory: 9523 loss: 0.4452 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0219 loss_cls: 0.1028 acc: 96.0938 loss_bbox: 0.1498 loss_mask: 0.1622 +2024/01/17 22:33:20 - mmengine - INFO - Epoch(train) [34][2050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:24:08 time: 0.8124 data_time: 0.0335 memory: 10562 loss: 0.5622 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0315 loss_cls: 0.1251 acc: 86.1328 loss_bbox: 0.1898 loss_mask: 0.1959 +2024/01/17 22:34:00 - mmengine - INFO - Epoch(train) [34][2100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:23:28 time: 0.7975 data_time: 0.0324 memory: 8616 loss: 0.5677 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0308 loss_cls: 0.1274 acc: 99.6094 loss_bbox: 0.1966 loss_mask: 0.1955 +2024/01/17 22:34:08 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 22:34:39 - mmengine - INFO - Epoch(train) [34][2150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:22:49 time: 0.7824 data_time: 0.0329 memory: 10067 loss: 0.4929 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0235 loss_cls: 0.1195 acc: 98.8281 loss_bbox: 0.1716 loss_mask: 0.1630 +2024/01/17 22:35:18 - mmengine - INFO - Epoch(train) [34][2200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:22:09 time: 0.7865 data_time: 0.0327 memory: 10572 loss: 0.4484 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0211 loss_cls: 0.1059 acc: 97.0703 loss_bbox: 0.1475 loss_mask: 0.1609 +2024/01/17 22:35:58 - mmengine - INFO - Epoch(train) [34][2250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:21:29 time: 0.8000 data_time: 0.0308 memory: 10568 loss: 0.5035 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0267 loss_cls: 0.1138 acc: 92.7734 loss_bbox: 0.1775 loss_mask: 0.1732 +2024/01/17 22:36:38 - mmengine - INFO - Epoch(train) [34][2300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:20:49 time: 0.7799 data_time: 0.0361 memory: 10067 loss: 0.4561 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0239 loss_cls: 0.1026 acc: 100.0000 loss_bbox: 0.1468 loss_mask: 0.1689 +2024/01/17 22:37:17 - mmengine - INFO - Epoch(train) [34][2350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:20:10 time: 0.7801 data_time: 0.0319 memory: 10113 loss: 0.4863 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0295 loss_cls: 0.1173 acc: 98.8281 loss_bbox: 0.1684 loss_mask: 0.1583 +2024/01/17 22:37:57 - mmengine - INFO - Epoch(train) [34][2400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:19:30 time: 0.8020 data_time: 0.0359 memory: 10074 loss: 0.4864 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0275 loss_cls: 0.1191 acc: 97.2656 loss_bbox: 0.1724 loss_mask: 0.1507 +2024/01/17 22:38:38 - mmengine - INFO - Epoch(train) [34][2450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:18:50 time: 0.8157 data_time: 0.0373 memory: 10067 loss: 0.5152 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0245 loss_cls: 0.1180 acc: 96.6797 loss_bbox: 0.1791 loss_mask: 0.1738 +2024/01/17 22:39:18 - mmengine - INFO - Epoch(train) [34][2500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:18:10 time: 0.8008 data_time: 0.0377 memory: 10516 loss: 0.5481 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0300 loss_cls: 0.1363 acc: 94.9219 loss_bbox: 0.1791 loss_mask: 0.1870 +2024/01/17 22:39:57 - mmengine - INFO - Epoch(train) [34][2550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:17:31 time: 0.7950 data_time: 0.0285 memory: 10265 loss: 0.4772 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0232 loss_cls: 0.1083 acc: 97.6562 loss_bbox: 0.1587 loss_mask: 0.1711 +2024/01/17 22:40:37 - mmengine - INFO - Epoch(train) [34][2600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:16:51 time: 0.7935 data_time: 0.0370 memory: 10565 loss: 0.5859 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0288 loss_cls: 0.1349 acc: 99.0234 loss_bbox: 0.2015 loss_mask: 0.2069 +2024/01/17 22:41:17 - mmengine - INFO - Epoch(train) [34][2650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:16:11 time: 0.7929 data_time: 0.0346 memory: 9800 loss: 0.4469 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0207 loss_cls: 0.0991 acc: 91.2109 loss_bbox: 0.1505 loss_mask: 0.1647 +2024/01/17 22:41:57 - mmengine - INFO - Epoch(train) [34][2700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:15:31 time: 0.7981 data_time: 0.0369 memory: 11099 loss: 0.5307 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0320 loss_cls: 0.1296 acc: 96.0938 loss_bbox: 0.1798 loss_mask: 0.1714 +2024/01/17 22:42:36 - mmengine - INFO - Epoch(train) [34][2750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:14:52 time: 0.7915 data_time: 0.0330 memory: 10246 loss: 0.4428 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0209 loss_cls: 0.0946 acc: 97.8516 loss_bbox: 0.1486 loss_mask: 0.1670 +2024/01/17 22:43:16 - mmengine - INFO - Epoch(train) [34][2800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:14:12 time: 0.8006 data_time: 0.0339 memory: 9663 loss: 0.4917 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0267 loss_cls: 0.1152 acc: 97.4609 loss_bbox: 0.1694 loss_mask: 0.1645 +2024/01/17 22:43:57 - mmengine - INFO - Epoch(train) [34][2850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:13:32 time: 0.8072 data_time: 0.0387 memory: 10848 loss: 0.4853 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0273 loss_cls: 0.1174 acc: 91.9922 loss_bbox: 0.1738 loss_mask: 0.1557 +2024/01/17 22:44:37 - mmengine - INFO - Epoch(train) [34][2900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:12:53 time: 0.8023 data_time: 0.0370 memory: 10404 loss: 0.5399 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0319 loss_cls: 0.1283 acc: 95.3125 loss_bbox: 0.1811 loss_mask: 0.1818 +2024/01/17 22:45:17 - mmengine - INFO - Epoch(train) [34][2950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:12:13 time: 0.7897 data_time: 0.0358 memory: 10508 loss: 0.5103 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0290 loss_cls: 0.1242 acc: 99.6094 loss_bbox: 0.1696 loss_mask: 0.1739 +2024/01/17 22:45:57 - mmengine - INFO - Epoch(train) [34][3000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:11:33 time: 0.8059 data_time: 0.0327 memory: 9483 loss: 0.5003 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0260 loss_cls: 0.1206 acc: 84.3750 loss_bbox: 0.1790 loss_mask: 0.1603 +2024/01/17 22:46:37 - mmengine - INFO - Epoch(train) [34][3050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:10:53 time: 0.7961 data_time: 0.0361 memory: 9647 loss: 0.5282 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0268 loss_cls: 0.1213 acc: 99.4141 loss_bbox: 0.1827 loss_mask: 0.1829 +2024/01/17 22:47:16 - mmengine - INFO - Epoch(train) [34][3100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:10:14 time: 0.7864 data_time: 0.0316 memory: 9763 loss: 0.5011 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0231 loss_cls: 0.1125 acc: 97.4609 loss_bbox: 0.1618 loss_mask: 0.1920 +2024/01/17 22:47:24 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 22:47:56 - mmengine - INFO - Epoch(train) [34][3150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:09:34 time: 0.8052 data_time: 0.0369 memory: 9459 loss: 0.5660 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0267 loss_cls: 0.1314 acc: 87.1094 loss_bbox: 0.1959 loss_mask: 0.1974 +2024/01/17 22:48:37 - mmengine - INFO - Epoch(train) [34][3200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:08:54 time: 0.8103 data_time: 0.0325 memory: 9947 loss: 0.4243 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0220 loss_cls: 0.0955 acc: 93.9453 loss_bbox: 0.1540 loss_mask: 0.1429 +2024/01/17 22:49:17 - mmengine - INFO - Epoch(train) [34][3250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:08:15 time: 0.8002 data_time: 0.0367 memory: 9601 loss: 0.5208 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0278 loss_cls: 0.1203 acc: 94.3359 loss_bbox: 0.1870 loss_mask: 0.1661 +2024/01/17 22:49:58 - mmengine - INFO - Epoch(train) [34][3300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:07:35 time: 0.8117 data_time: 0.0357 memory: 10568 loss: 0.4934 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0241 loss_cls: 0.1191 acc: 95.1172 loss_bbox: 0.1690 loss_mask: 0.1699 +2024/01/17 22:50:38 - mmengine - INFO - Epoch(train) [34][3350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:06:55 time: 0.7992 data_time: 0.0364 memory: 10572 loss: 0.5768 loss_rpn_cls: 0.0243 loss_rpn_bbox: 0.0318 loss_cls: 0.1436 acc: 97.6562 loss_bbox: 0.1853 loss_mask: 0.1918 +2024/01/17 22:51:18 - mmengine - INFO - Epoch(train) [34][3400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:06:15 time: 0.8135 data_time: 0.0328 memory: 9601 loss: 0.4567 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0209 loss_cls: 0.1093 acc: 99.6094 loss_bbox: 0.1538 loss_mask: 0.1627 +2024/01/17 22:51:58 - mmengine - INFO - Epoch(train) [34][3450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:05:36 time: 0.7964 data_time: 0.0301 memory: 10842 loss: 0.4761 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0206 loss_cls: 0.1120 acc: 88.6719 loss_bbox: 0.1653 loss_mask: 0.1681 +2024/01/17 22:52:38 - mmengine - INFO - Epoch(train) [34][3500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:04:56 time: 0.7938 data_time: 0.0346 memory: 9180 loss: 0.6098 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0304 loss_cls: 0.1534 acc: 99.4141 loss_bbox: 0.2107 loss_mask: 0.1981 +2024/01/17 22:53:18 - mmengine - INFO - Epoch(train) [34][3550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:04:16 time: 0.8102 data_time: 0.0383 memory: 10159 loss: 0.4974 loss_rpn_cls: 0.0170 loss_rpn_bbox: 0.0271 loss_cls: 0.1196 acc: 91.2109 loss_bbox: 0.1628 loss_mask: 0.1709 +2024/01/17 22:53:59 - mmengine - INFO - Epoch(train) [34][3600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:03:37 time: 0.8068 data_time: 0.0393 memory: 10875 loss: 0.5408 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0306 loss_cls: 0.1270 acc: 95.5078 loss_bbox: 0.1851 loss_mask: 0.1873 +2024/01/17 22:54:39 - mmengine - INFO - Epoch(train) [34][3650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:02:57 time: 0.8007 data_time: 0.0319 memory: 11053 loss: 0.4405 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0220 loss_cls: 0.1046 acc: 94.9219 loss_bbox: 0.1481 loss_mask: 0.1554 +2024/01/17 22:55:19 - mmengine - INFO - Epoch(train) [34][3700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:02:17 time: 0.7918 data_time: 0.0350 memory: 9737 loss: 0.4743 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0176 loss_cls: 0.1247 acc: 87.1094 loss_bbox: 0.1655 loss_mask: 0.1596 +2024/01/17 22:55:59 - mmengine - INFO - Epoch(train) [34][3750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:01:37 time: 0.7987 data_time: 0.0281 memory: 11099 loss: 0.4034 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0207 loss_cls: 0.0935 acc: 90.6250 loss_bbox: 0.1372 loss_mask: 0.1446 +2024/01/17 22:56:38 - mmengine - INFO - Epoch(train) [34][3800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:00:58 time: 0.7829 data_time: 0.0325 memory: 10572 loss: 0.4460 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0198 loss_cls: 0.1079 acc: 99.8047 loss_bbox: 0.1494 loss_mask: 0.1576 +2024/01/17 22:57:17 - mmengine - INFO - Epoch(train) [34][3850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 4:00:18 time: 0.7932 data_time: 0.0383 memory: 10789 loss: 0.4961 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0227 loss_cls: 0.1112 acc: 98.2422 loss_bbox: 0.1783 loss_mask: 0.1738 +2024/01/17 22:57:58 - mmengine - INFO - Epoch(train) [34][3900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:59:38 time: 0.8027 data_time: 0.0373 memory: 9734 loss: 0.5207 loss_rpn_cls: 0.0166 loss_rpn_bbox: 0.0290 loss_cls: 0.1223 acc: 92.5781 loss_bbox: 0.1730 loss_mask: 0.1799 +2024/01/17 22:58:38 - mmengine - INFO - Epoch(train) [34][3950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:58:58 time: 0.8128 data_time: 0.0361 memory: 10291 loss: 0.5790 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0290 loss_cls: 0.1450 acc: 98.8281 loss_bbox: 0.2031 loss_mask: 0.1893 +2024/01/17 22:59:18 - mmengine - INFO - Epoch(train) [34][4000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:58:19 time: 0.7932 data_time: 0.0351 memory: 9585 loss: 0.4649 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0226 loss_cls: 0.1058 acc: 98.6328 loss_bbox: 0.1691 loss_mask: 0.1577 +2024/01/17 22:59:57 - mmengine - INFO - Epoch(train) [34][4050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:57:39 time: 0.7847 data_time: 0.0413 memory: 9949 loss: 0.5192 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0287 loss_cls: 0.1287 acc: 95.8984 loss_bbox: 0.1740 loss_mask: 0.1751 +2024/01/17 23:00:37 - mmengine - INFO - Epoch(train) [34][4100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:56:59 time: 0.8005 data_time: 0.0334 memory: 10568 loss: 0.5108 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0253 loss_cls: 0.1099 acc: 98.6328 loss_bbox: 0.1746 loss_mask: 0.1884 +2024/01/17 23:00:45 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 23:01:16 - mmengine - INFO - Epoch(train) [34][4150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:56:19 time: 0.7757 data_time: 0.0271 memory: 10344 loss: 0.4913 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0233 loss_cls: 0.1089 acc: 98.6328 loss_bbox: 0.1743 loss_mask: 0.1722 +2024/01/17 23:01:56 - mmengine - INFO - Epoch(train) [34][4200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:55:40 time: 0.7913 data_time: 0.0406 memory: 10583 loss: 0.5764 loss_rpn_cls: 0.0202 loss_rpn_bbox: 0.0391 loss_cls: 0.1372 acc: 98.6328 loss_bbox: 0.1975 loss_mask: 0.1824 +2024/01/17 23:02:35 - mmengine - INFO - Epoch(train) [34][4250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:55:00 time: 0.7893 data_time: 0.0298 memory: 9861 loss: 0.4002 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0230 loss_cls: 0.0899 acc: 98.6328 loss_bbox: 0.1287 loss_mask: 0.1457 +2024/01/17 23:03:15 - mmengine - INFO - Epoch(train) [34][4300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:54:20 time: 0.7952 data_time: 0.0311 memory: 9253 loss: 0.4443 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0204 loss_cls: 0.1051 acc: 95.5078 loss_bbox: 0.1501 loss_mask: 0.1556 +2024/01/17 23:03:55 - mmengine - INFO - Epoch(train) [34][4350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:53:40 time: 0.7900 data_time: 0.0370 memory: 10868 loss: 0.5710 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0286 loss_cls: 0.1359 acc: 99.8047 loss_bbox: 0.2068 loss_mask: 0.1803 +2024/01/17 23:04:35 - mmengine - INFO - Epoch(train) [34][4400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:53:01 time: 0.8145 data_time: 0.0348 memory: 10572 loss: 0.5392 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0324 loss_cls: 0.1303 acc: 99.2188 loss_bbox: 0.1851 loss_mask: 0.1721 +2024/01/17 23:05:15 - mmengine - INFO - Epoch(train) [34][4450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:52:21 time: 0.7999 data_time: 0.0337 memory: 9346 loss: 0.4755 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0254 loss_cls: 0.1074 acc: 99.0234 loss_bbox: 0.1606 loss_mask: 0.1633 +2024/01/17 23:05:55 - mmengine - INFO - Epoch(train) [34][4500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:51:41 time: 0.7983 data_time: 0.0328 memory: 10948 loss: 0.4780 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0248 loss_cls: 0.1077 acc: 100.0000 loss_bbox: 0.1622 loss_mask: 0.1733 +2024/01/17 23:06:36 - mmengine - INFO - Epoch(train) [34][4550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:51:02 time: 0.8067 data_time: 0.0305 memory: 10865 loss: 0.4557 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0235 loss_cls: 0.1069 acc: 96.0938 loss_bbox: 0.1516 loss_mask: 0.1641 +2024/01/17 23:07:15 - mmengine - INFO - Epoch(train) [34][4600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:50:22 time: 0.7922 data_time: 0.0375 memory: 9137 loss: 0.5287 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0242 loss_cls: 0.1346 acc: 91.7969 loss_bbox: 0.1782 loss_mask: 0.1800 +2024/01/17 23:07:55 - mmengine - INFO - Epoch(train) [34][4650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:49:42 time: 0.7897 data_time: 0.0307 memory: 9459 loss: 0.5428 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0299 loss_cls: 0.1307 acc: 93.5547 loss_bbox: 0.1882 loss_mask: 0.1795 +2024/01/17 23:08:35 - mmengine - INFO - Epoch(train) [34][4700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:49:02 time: 0.8002 data_time: 0.0346 memory: 10572 loss: 0.4853 loss_rpn_cls: 0.0074 loss_rpn_bbox: 0.0289 loss_cls: 0.1152 acc: 96.6797 loss_bbox: 0.1693 loss_mask: 0.1646 +2024/01/17 23:09:15 - mmengine - INFO - Epoch(train) [34][4750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:48:23 time: 0.8075 data_time: 0.0407 memory: 11086 loss: 0.5909 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0320 loss_cls: 0.1439 acc: 94.3359 loss_bbox: 0.2069 loss_mask: 0.1926 +2024/01/17 23:09:55 - mmengine - INFO - Epoch(train) [34][4800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:47:43 time: 0.7987 data_time: 0.0321 memory: 10582 loss: 0.4867 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0176 loss_cls: 0.1119 acc: 98.0469 loss_bbox: 0.1645 loss_mask: 0.1827 +2024/01/17 23:10:36 - mmengine - INFO - Epoch(train) [34][4850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:47:03 time: 0.8075 data_time: 0.0377 memory: 10067 loss: 0.5235 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0267 loss_cls: 0.1209 acc: 92.3828 loss_bbox: 0.1876 loss_mask: 0.1733 +2024/01/17 23:11:16 - mmengine - INFO - Epoch(train) [34][4900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:46:23 time: 0.8034 data_time: 0.0306 memory: 10347 loss: 0.4892 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0245 loss_cls: 0.1239 acc: 97.0703 loss_bbox: 0.1682 loss_mask: 0.1604 +2024/01/17 23:11:56 - mmengine - INFO - Epoch(train) [34][4950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:45:44 time: 0.8085 data_time: 0.0343 memory: 9601 loss: 0.5097 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0253 loss_cls: 0.1159 acc: 98.8281 loss_bbox: 0.1690 loss_mask: 0.1820 +2024/01/17 23:12:36 - mmengine - INFO - Epoch(train) [34][5000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:45:04 time: 0.7938 data_time: 0.0385 memory: 9599 loss: 0.4846 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0229 loss_cls: 0.1064 acc: 92.9688 loss_bbox: 0.1717 loss_mask: 0.1727 +2024/01/17 23:13:16 - mmengine - INFO - Epoch(train) [34][5050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:44:24 time: 0.7878 data_time: 0.0330 memory: 9601 loss: 0.4940 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0229 loss_cls: 0.1120 acc: 97.4609 loss_bbox: 0.1787 loss_mask: 0.1704 +2024/01/17 23:13:55 - mmengine - INFO - Epoch(train) [34][5100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:43:45 time: 0.7934 data_time: 0.0361 memory: 10502 loss: 0.5512 loss_rpn_cls: 0.0189 loss_rpn_bbox: 0.0290 loss_cls: 0.1228 acc: 84.7656 loss_bbox: 0.1758 loss_mask: 0.2047 +2024/01/17 23:14:03 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 23:14:35 - mmengine - INFO - Epoch(train) [34][5150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:43:05 time: 0.7845 data_time: 0.0285 memory: 10067 loss: 0.4522 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0183 loss_cls: 0.1104 acc: 99.2188 loss_bbox: 0.1469 loss_mask: 0.1640 +2024/01/17 23:15:15 - mmengine - INFO - Epoch(train) [34][5200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:42:25 time: 0.7993 data_time: 0.0362 memory: 9736 loss: 0.5807 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0326 loss_cls: 0.1422 acc: 89.0625 loss_bbox: 0.2109 loss_mask: 0.1783 +2024/01/17 23:15:55 - mmengine - INFO - Epoch(train) [34][5250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:41:45 time: 0.8060 data_time: 0.0341 memory: 10568 loss: 0.4806 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0232 loss_cls: 0.1101 acc: 99.0234 loss_bbox: 0.1586 loss_mask: 0.1773 +2024/01/17 23:16:35 - mmengine - INFO - Epoch(train) [34][5300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:41:06 time: 0.7986 data_time: 0.0340 memory: 10572 loss: 0.5191 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0285 loss_cls: 0.1312 acc: 99.0234 loss_bbox: 0.1781 loss_mask: 0.1638 +2024/01/17 23:17:15 - mmengine - INFO - Epoch(train) [34][5350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:40:26 time: 0.8066 data_time: 0.0384 memory: 10295 loss: 0.5444 loss_rpn_cls: 0.0169 loss_rpn_bbox: 0.0277 loss_cls: 0.1310 acc: 99.0234 loss_bbox: 0.1813 loss_mask: 0.1875 +2024/01/17 23:17:56 - mmengine - INFO - Epoch(train) [34][5400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:39:46 time: 0.8175 data_time: 0.0363 memory: 10568 loss: 0.5291 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0246 loss_cls: 0.1226 acc: 89.0625 loss_bbox: 0.1789 loss_mask: 0.1874 +2024/01/17 23:18:37 - mmengine - INFO - Epoch(train) [34][5450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:39:07 time: 0.8122 data_time: 0.0315 memory: 9420 loss: 0.5180 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0235 loss_cls: 0.1238 acc: 97.2656 loss_bbox: 0.1760 loss_mask: 0.1811 +2024/01/17 23:19:17 - mmengine - INFO - Epoch(train) [34][5500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:38:27 time: 0.8023 data_time: 0.0370 memory: 10497 loss: 0.5564 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0260 loss_cls: 0.1347 acc: 92.3828 loss_bbox: 0.2001 loss_mask: 0.1838 +2024/01/17 23:19:58 - mmengine - INFO - Epoch(train) [34][5550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:37:47 time: 0.8088 data_time: 0.0338 memory: 10416 loss: 0.5246 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0295 loss_cls: 0.1166 acc: 90.0391 loss_bbox: 0.1792 loss_mask: 0.1852 +2024/01/17 23:20:37 - mmengine - INFO - Epoch(train) [34][5600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:37:07 time: 0.7927 data_time: 0.0317 memory: 10393 loss: 0.4567 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0236 loss_cls: 0.1094 acc: 93.5547 loss_bbox: 0.1563 loss_mask: 0.1575 +2024/01/17 23:21:17 - mmengine - INFO - Epoch(train) [34][5650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:36:28 time: 0.7990 data_time: 0.0375 memory: 11309 loss: 0.5536 loss_rpn_cls: 0.0113 loss_rpn_bbox: 0.0292 loss_cls: 0.1352 acc: 90.0391 loss_bbox: 0.1956 loss_mask: 0.1822 +2024/01/17 23:21:57 - mmengine - INFO - Epoch(train) [34][5700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:35:48 time: 0.7999 data_time: 0.0365 memory: 11517 loss: 0.4893 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0270 loss_cls: 0.1137 acc: 87.3047 loss_bbox: 0.1769 loss_mask: 0.1606 +2024/01/17 23:22:38 - mmengine - INFO - Epoch(train) [34][5750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:35:08 time: 0.8158 data_time: 0.0326 memory: 10572 loss: 0.4238 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0191 loss_cls: 0.0994 acc: 96.0938 loss_bbox: 0.1402 loss_mask: 0.1529 +2024/01/17 23:23:18 - mmengine - INFO - Epoch(train) [34][5800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:34:28 time: 0.7954 data_time: 0.0358 memory: 9947 loss: 0.4940 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0245 loss_cls: 0.1258 acc: 90.0391 loss_bbox: 0.1657 loss_mask: 0.1624 +2024/01/17 23:23:58 - mmengine - INFO - Epoch(train) [34][5850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:33:49 time: 0.8111 data_time: 0.0290 memory: 10067 loss: 0.4199 loss_rpn_cls: 0.0083 loss_rpn_bbox: 0.0189 loss_cls: 0.0936 acc: 95.3125 loss_bbox: 0.1405 loss_mask: 0.1586 +2024/01/17 23:24:39 - mmengine - INFO - Epoch(train) [34][5900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:33:09 time: 0.8139 data_time: 0.0348 memory: 10572 loss: 0.4855 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0235 loss_cls: 0.1108 acc: 86.9141 loss_bbox: 0.1680 loss_mask: 0.1650 +2024/01/17 23:25:19 - mmengine - INFO - Epoch(train) [34][5950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:32:29 time: 0.7972 data_time: 0.0313 memory: 9850 loss: 0.5430 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0263 loss_cls: 0.1368 acc: 99.8047 loss_bbox: 0.1869 loss_mask: 0.1821 +2024/01/17 23:25:59 - mmengine - INFO - Epoch(train) [34][6000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:31:50 time: 0.7963 data_time: 0.0340 memory: 11313 loss: 0.4555 loss_rpn_cls: 0.0110 loss_rpn_bbox: 0.0251 loss_cls: 0.1012 acc: 97.6562 loss_bbox: 0.1548 loss_mask: 0.1634 +2024/01/17 23:26:38 - mmengine - INFO - Epoch(train) [34][6050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:31:10 time: 0.7842 data_time: 0.0339 memory: 10126 loss: 0.6708 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0406 loss_cls: 0.1698 acc: 86.9141 loss_bbox: 0.2283 loss_mask: 0.2025 +2024/01/17 23:27:18 - mmengine - INFO - Epoch(train) [34][6100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:30:30 time: 0.7996 data_time: 0.0334 memory: 10572 loss: 0.4643 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0201 loss_cls: 0.1173 acc: 99.2188 loss_bbox: 0.1540 loss_mask: 0.1631 +2024/01/17 23:27:27 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 23:27:59 - mmengine - INFO - Epoch(train) [34][6150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:29:50 time: 0.8047 data_time: 0.0335 memory: 10583 loss: 0.4897 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0257 loss_cls: 0.1105 acc: 100.0000 loss_bbox: 0.1648 loss_mask: 0.1736 +2024/01/17 23:28:38 - mmengine - INFO - Epoch(train) [34][6200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:29:11 time: 0.7968 data_time: 0.0354 memory: 10513 loss: 0.5102 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0255 loss_cls: 0.1198 acc: 98.6328 loss_bbox: 0.1729 loss_mask: 0.1749 +2024/01/17 23:29:18 - mmengine - INFO - Epoch(train) [34][6250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:28:31 time: 0.7862 data_time: 0.0370 memory: 10126 loss: 0.5369 loss_rpn_cls: 0.0351 loss_rpn_bbox: 0.0316 loss_cls: 0.1232 acc: 99.6094 loss_bbox: 0.1727 loss_mask: 0.1743 +2024/01/17 23:29:58 - mmengine - INFO - Epoch(train) [34][6300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:27:51 time: 0.7999 data_time: 0.0361 memory: 9459 loss: 0.5602 loss_rpn_cls: 0.0175 loss_rpn_bbox: 0.0342 loss_cls: 0.1372 acc: 89.0625 loss_bbox: 0.1835 loss_mask: 0.1878 +2024/01/17 23:30:38 - mmengine - INFO - Epoch(train) [34][6350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:27:11 time: 0.8031 data_time: 0.0302 memory: 10258 loss: 0.4615 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0195 loss_cls: 0.1011 acc: 100.0000 loss_bbox: 0.1607 loss_mask: 0.1693 +2024/01/17 23:31:18 - mmengine - INFO - Epoch(train) [34][6400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:26:32 time: 0.8082 data_time: 0.0320 memory: 10583 loss: 0.5374 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0289 loss_cls: 0.1318 acc: 97.2656 loss_bbox: 0.1870 loss_mask: 0.1712 +2024/01/17 23:31:59 - mmengine - INFO - Epoch(train) [34][6450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:25:52 time: 0.8064 data_time: 0.0394 memory: 10660 loss: 0.5507 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0276 loss_cls: 0.1496 acc: 98.2422 loss_bbox: 0.1900 loss_mask: 0.1648 +2024/01/17 23:32:39 - mmengine - INFO - Epoch(train) [34][6500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:25:12 time: 0.7953 data_time: 0.0364 memory: 10568 loss: 0.4082 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0184 loss_cls: 0.0849 acc: 97.2656 loss_bbox: 0.1329 loss_mask: 0.1626 +2024/01/17 23:33:20 - mmengine - INFO - Epoch(train) [34][6550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:24:33 time: 0.8185 data_time: 0.0358 memory: 10067 loss: 0.4452 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0248 loss_cls: 0.1020 acc: 98.6328 loss_bbox: 0.1482 loss_mask: 0.1595 +2024/01/17 23:34:00 - mmengine - INFO - Epoch(train) [34][6600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:23:53 time: 0.8116 data_time: 0.0318 memory: 10327 loss: 0.4729 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0221 loss_cls: 0.1152 acc: 99.6094 loss_bbox: 0.1711 loss_mask: 0.1546 +2024/01/17 23:34:40 - mmengine - INFO - Epoch(train) [34][6650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:23:13 time: 0.7905 data_time: 0.0355 memory: 10965 loss: 0.5107 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0284 loss_cls: 0.1179 acc: 99.4141 loss_bbox: 0.1774 loss_mask: 0.1701 +2024/01/17 23:35:20 - mmengine - INFO - Epoch(train) [34][6700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:22:34 time: 0.8131 data_time: 0.0322 memory: 10513 loss: 0.4645 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0226 loss_cls: 0.1079 acc: 99.0234 loss_bbox: 0.1578 loss_mask: 0.1646 +2024/01/17 23:36:00 - mmengine - INFO - Epoch(train) [34][6750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:21:54 time: 0.7965 data_time: 0.0335 memory: 9253 loss: 0.4432 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0211 loss_cls: 0.1052 acc: 99.6094 loss_bbox: 0.1475 loss_mask: 0.1573 +2024/01/17 23:36:41 - mmengine - INFO - Epoch(train) [34][6800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:21:14 time: 0.8047 data_time: 0.0336 memory: 10572 loss: 0.4742 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0236 loss_cls: 0.1120 acc: 99.2188 loss_bbox: 0.1577 loss_mask: 0.1666 +2024/01/17 23:37:21 - mmengine - INFO - Epoch(train) [34][6850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:20:34 time: 0.7985 data_time: 0.0333 memory: 10067 loss: 0.4880 loss_rpn_cls: 0.0197 loss_rpn_bbox: 0.0209 loss_cls: 0.1214 acc: 91.7969 loss_bbox: 0.1642 loss_mask: 0.1618 +2024/01/17 23:38:00 - mmengine - INFO - Epoch(train) [34][6900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:19:55 time: 0.7845 data_time: 0.0412 memory: 10067 loss: 0.5137 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0253 loss_cls: 0.1193 acc: 98.2422 loss_bbox: 0.1747 loss_mask: 0.1803 +2024/01/17 23:38:40 - mmengine - INFO - Epoch(train) [34][6950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:19:15 time: 0.7939 data_time: 0.0341 memory: 9793 loss: 0.4591 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0251 loss_cls: 0.1074 acc: 99.2188 loss_bbox: 0.1524 loss_mask: 0.1569 +2024/01/17 23:39:19 - mmengine - INFO - Epoch(train) [34][7000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:18:35 time: 0.7972 data_time: 0.0356 memory: 9949 loss: 0.4717 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0254 loss_cls: 0.1044 acc: 100.0000 loss_bbox: 0.1588 loss_mask: 0.1669 +2024/01/17 23:40:00 - mmengine - INFO - Epoch(train) [34][7050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:17:55 time: 0.7993 data_time: 0.0323 memory: 9893 loss: 0.5402 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0286 loss_cls: 0.1310 acc: 94.9219 loss_bbox: 0.1903 loss_mask: 0.1757 +2024/01/17 23:40:39 - mmengine - INFO - Epoch(train) [34][7100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:17:16 time: 0.7928 data_time: 0.0328 memory: 10572 loss: 0.4462 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0212 loss_cls: 0.1083 acc: 88.4766 loss_bbox: 0.1491 loss_mask: 0.1525 +2024/01/17 23:40:47 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 23:41:19 - mmengine - INFO - Epoch(train) [34][7150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:16:36 time: 0.7952 data_time: 0.0299 memory: 10788 loss: 0.4875 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0291 loss_cls: 0.1124 acc: 98.8281 loss_bbox: 0.1662 loss_mask: 0.1677 +2024/01/17 23:41:59 - mmengine - INFO - Epoch(train) [34][7200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:15:56 time: 0.7949 data_time: 0.0279 memory: 9557 loss: 0.3728 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0185 loss_cls: 0.0841 acc: 96.6797 loss_bbox: 0.1163 loss_mask: 0.1424 +2024/01/17 23:42:39 - mmengine - INFO - Epoch(train) [34][7250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:15:16 time: 0.7957 data_time: 0.0286 memory: 10508 loss: 0.3829 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0178 loss_cls: 0.0767 acc: 97.4609 loss_bbox: 0.1286 loss_mask: 0.1528 +2024/01/17 23:43:19 - mmengine - INFO - Epoch(train) [34][7300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:14:37 time: 0.8104 data_time: 0.0308 memory: 10258 loss: 0.4363 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0196 loss_cls: 0.1005 acc: 98.8281 loss_bbox: 0.1564 loss_mask: 0.1514 +2024/01/17 23:43:43 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 23:43:43 - mmengine - INFO - Saving checkpoint at 34 epochs +2024/01/17 23:43:58 - mmengine - INFO - Epoch(val) [34][ 50/313] eta: 0:00:56 time: 0.2161 data_time: 0.0587 memory: 9800 +2024/01/17 23:44:08 - mmengine - INFO - Epoch(val) [34][100/313] eta: 0:00:42 time: 0.1839 data_time: 0.0262 memory: 2388 +2024/01/17 23:44:18 - mmengine - INFO - Epoch(val) [34][150/313] eta: 0:00:32 time: 0.1977 data_time: 0.0433 memory: 2431 +2024/01/17 23:44:28 - mmengine - INFO - Epoch(val) [34][200/313] eta: 0:00:22 time: 0.2092 data_time: 0.0507 memory: 2403 +2024/01/17 23:44:37 - mmengine - INFO - Epoch(val) [34][250/313] eta: 0:00:12 time: 0.1769 data_time: 0.0242 memory: 2431 +2024/01/17 23:44:46 - mmengine - INFO - Epoch(val) [34][300/313] eta: 0:00:02 time: 0.1840 data_time: 0.0275 memory: 2403 +2024/01/17 23:44:53 - mmengine - INFO - Evaluating bbox... +2024/01/17 23:45:14 - mmengine - INFO - bbox_mAP_copypaste: 0.497 0.702 0.542 0.328 0.532 0.658 +2024/01/17 23:45:14 - mmengine - INFO - Evaluating segm... +2024/01/17 23:45:37 - mmengine - INFO - segm_mAP_copypaste: 0.440 0.675 0.475 0.245 0.470 0.632 +2024/01/17 23:45:38 - mmengine - INFO - Epoch(val) [34][313/313] coco/bbox_mAP: 0.4970 coco/bbox_mAP_50: 0.7020 coco/bbox_mAP_75: 0.5420 coco/bbox_mAP_s: 0.3280 coco/bbox_mAP_m: 0.5320 coco/bbox_mAP_l: 0.6580 coco/segm_mAP: 0.4400 coco/segm_mAP_50: 0.6750 coco/segm_mAP_75: 0.4750 coco/segm_mAP_s: 0.2450 coco/segm_mAP_m: 0.4700 coco/segm_mAP_l: 0.6320 data_time: 0.0369 time: 0.1928 +2024/01/17 23:46:19 - mmengine - INFO - Epoch(train) [35][ 50/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:13:33 time: 0.8211 data_time: 0.0366 memory: 9949 loss: 0.4956 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0247 loss_cls: 0.1101 acc: 97.4609 loss_bbox: 0.1697 loss_mask: 0.1791 +2024/01/17 23:46:59 - mmengine - INFO - Epoch(train) [35][ 100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:12:53 time: 0.7989 data_time: 0.0310 memory: 10545 loss: 0.4966 loss_rpn_cls: 0.0148 loss_rpn_bbox: 0.0213 loss_cls: 0.1086 acc: 99.4141 loss_bbox: 0.1739 loss_mask: 0.1780 +2024/01/17 23:47:39 - mmengine - INFO - Epoch(train) [35][ 150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:12:14 time: 0.8034 data_time: 0.0310 memory: 11102 loss: 0.4152 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0183 loss_cls: 0.0911 acc: 91.9922 loss_bbox: 0.1370 loss_mask: 0.1555 +2024/01/17 23:48:19 - mmengine - INFO - Epoch(train) [35][ 200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:11:34 time: 0.7913 data_time: 0.0371 memory: 10660 loss: 0.5118 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0272 loss_cls: 0.1258 acc: 87.5000 loss_bbox: 0.1730 loss_mask: 0.1761 +2024/01/17 23:48:58 - mmengine - INFO - Epoch(train) [35][ 250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:10:54 time: 0.7963 data_time: 0.0354 memory: 10483 loss: 0.5563 loss_rpn_cls: 0.0181 loss_rpn_bbox: 0.0281 loss_cls: 0.1344 acc: 93.9453 loss_bbox: 0.1911 loss_mask: 0.1846 +2024/01/17 23:49:38 - mmengine - INFO - Epoch(train) [35][ 300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:10:14 time: 0.7879 data_time: 0.0346 memory: 10572 loss: 0.5520 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0274 loss_cls: 0.1283 acc: 88.6719 loss_bbox: 0.1869 loss_mask: 0.1899 +2024/01/17 23:50:19 - mmengine - INFO - Epoch(train) [35][ 350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:09:35 time: 0.8184 data_time: 0.0346 memory: 11514 loss: 0.5340 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0267 loss_cls: 0.1356 acc: 94.3359 loss_bbox: 0.1860 loss_mask: 0.1739 +2024/01/17 23:50:58 - mmengine - INFO - Epoch(train) [35][ 400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:08:55 time: 0.7903 data_time: 0.0352 memory: 10265 loss: 0.5560 loss_rpn_cls: 0.0213 loss_rpn_bbox: 0.0325 loss_cls: 0.1365 acc: 92.7734 loss_bbox: 0.1908 loss_mask: 0.1749 +2024/01/17 23:51:38 - mmengine - INFO - Epoch(train) [35][ 450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:08:15 time: 0.7933 data_time: 0.0363 memory: 10605 loss: 0.5733 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0291 loss_cls: 0.1427 acc: 100.0000 loss_bbox: 0.2060 loss_mask: 0.1808 +2024/01/17 23:52:17 - mmengine - INFO - Epoch(train) [35][ 500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:07:35 time: 0.7850 data_time: 0.0300 memory: 10986 loss: 0.4479 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0206 loss_cls: 0.0977 acc: 99.6094 loss_bbox: 0.1485 loss_mask: 0.1726 +2024/01/17 23:52:58 - mmengine - INFO - Epoch(train) [35][ 550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:06:56 time: 0.8075 data_time: 0.0335 memory: 9628 loss: 0.5026 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0233 loss_cls: 0.1224 acc: 91.0156 loss_bbox: 0.1764 loss_mask: 0.1655 +2024/01/17 23:53:38 - mmengine - INFO - Epoch(train) [35][ 600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:06:16 time: 0.8005 data_time: 0.0380 memory: 10492 loss: 0.4873 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0241 loss_cls: 0.1106 acc: 99.8047 loss_bbox: 0.1598 loss_mask: 0.1784 +2024/01/17 23:54:18 - mmengine - INFO - Epoch(train) [35][ 650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:05:36 time: 0.7970 data_time: 0.0325 memory: 9915 loss: 0.5146 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0266 loss_cls: 0.1184 acc: 98.8281 loss_bbox: 0.1829 loss_mask: 0.1731 +2024/01/17 23:54:57 - mmengine - INFO - Epoch(train) [35][ 700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:04:56 time: 0.7841 data_time: 0.0285 memory: 9459 loss: 0.4614 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0187 loss_cls: 0.1021 acc: 98.8281 loss_bbox: 0.1546 loss_mask: 0.1744 +2024/01/17 23:55:37 - mmengine - INFO - Epoch(train) [35][ 750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:04:17 time: 0.7990 data_time: 0.0353 memory: 11003 loss: 0.4611 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0238 loss_cls: 0.1050 acc: 99.8047 loss_bbox: 0.1604 loss_mask: 0.1613 +2024/01/17 23:56:01 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/17 23:56:16 - mmengine - INFO - Epoch(train) [35][ 800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:03:37 time: 0.7863 data_time: 0.0372 memory: 10299 loss: 0.4458 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0268 loss_cls: 0.0993 acc: 88.4766 loss_bbox: 0.1494 loss_mask: 0.1563 +2024/01/17 23:56:56 - mmengine - INFO - Epoch(train) [35][ 850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:02:57 time: 0.8016 data_time: 0.0355 memory: 10277 loss: 0.4896 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0264 loss_cls: 0.1134 acc: 99.6094 loss_bbox: 0.1703 loss_mask: 0.1654 +2024/01/17 23:57:36 - mmengine - INFO - Epoch(train) [35][ 900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:02:17 time: 0.7901 data_time: 0.0290 memory: 10568 loss: 0.3597 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0199 loss_cls: 0.0849 acc: 99.6094 loss_bbox: 0.1125 loss_mask: 0.1284 +2024/01/17 23:58:16 - mmengine - INFO - Epoch(train) [35][ 950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:01:38 time: 0.8049 data_time: 0.0330 memory: 10572 loss: 0.4912 loss_rpn_cls: 0.0147 loss_rpn_bbox: 0.0269 loss_cls: 0.1227 acc: 91.0156 loss_bbox: 0.1511 loss_mask: 0.1759 +2024/01/17 23:58:56 - mmengine - INFO - Epoch(train) [35][1000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:00:58 time: 0.7964 data_time: 0.0329 memory: 10274 loss: 0.5509 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0284 loss_cls: 0.1281 acc: 87.6953 loss_bbox: 0.1904 loss_mask: 0.1906 +2024/01/17 23:59:36 - mmengine - INFO - Epoch(train) [35][1050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 3:00:18 time: 0.7995 data_time: 0.0298 memory: 10067 loss: 0.4614 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0187 loss_cls: 0.1051 acc: 83.3984 loss_bbox: 0.1555 loss_mask: 0.1704 +2024/01/18 00:00:16 - mmengine - INFO - Epoch(train) [35][1100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:59:39 time: 0.7884 data_time: 0.0320 memory: 10410 loss: 0.4358 loss_rpn_cls: 0.0087 loss_rpn_bbox: 0.0262 loss_cls: 0.0948 acc: 99.0234 loss_bbox: 0.1442 loss_mask: 0.1619 +2024/01/18 00:00:55 - mmengine - INFO - Epoch(train) [35][1150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:58:59 time: 0.7953 data_time: 0.0356 memory: 10572 loss: 0.4765 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0253 loss_cls: 0.1120 acc: 98.0469 loss_bbox: 0.1584 loss_mask: 0.1674 +2024/01/18 00:01:35 - mmengine - INFO - Epoch(train) [35][1200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:58:19 time: 0.7979 data_time: 0.0379 memory: 10506 loss: 0.4988 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0298 loss_cls: 0.1148 acc: 99.2188 loss_bbox: 0.1582 loss_mask: 0.1809 +2024/01/18 00:02:16 - mmengine - INFO - Epoch(train) [35][1250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:57:39 time: 0.8148 data_time: 0.0365 memory: 10106 loss: 0.4767 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0217 loss_cls: 0.1147 acc: 96.8750 loss_bbox: 0.1614 loss_mask: 0.1637 +2024/01/18 00:02:56 - mmengine - INFO - Epoch(train) [35][1300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:57:00 time: 0.8003 data_time: 0.0281 memory: 9737 loss: 0.4238 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0217 loss_cls: 0.0946 acc: 98.8281 loss_bbox: 0.1425 loss_mask: 0.1509 +2024/01/18 00:03:36 - mmengine - INFO - Epoch(train) [35][1350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:56:20 time: 0.7937 data_time: 0.0349 memory: 10067 loss: 0.5031 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0277 loss_cls: 0.1289 acc: 98.8281 loss_bbox: 0.1756 loss_mask: 0.1570 +2024/01/18 00:04:15 - mmengine - INFO - Epoch(train) [35][1400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:55:40 time: 0.7795 data_time: 0.0362 memory: 9601 loss: 0.5298 loss_rpn_cls: 0.0207 loss_rpn_bbox: 0.0257 loss_cls: 0.1251 acc: 87.1094 loss_bbox: 0.1922 loss_mask: 0.1661 +2024/01/18 00:04:55 - mmengine - INFO - Epoch(train) [35][1450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:55:00 time: 0.8005 data_time: 0.0344 memory: 10067 loss: 0.5660 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0278 loss_cls: 0.1359 acc: 93.9453 loss_bbox: 0.2013 loss_mask: 0.1858 +2024/01/18 00:05:36 - mmengine - INFO - Epoch(train) [35][1500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:54:21 time: 0.8204 data_time: 0.0357 memory: 10067 loss: 0.5196 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0246 loss_cls: 0.1372 acc: 99.2188 loss_bbox: 0.1757 loss_mask: 0.1664 +2024/01/18 00:06:16 - mmengine - INFO - Epoch(train) [35][1550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:53:41 time: 0.8044 data_time: 0.0340 memory: 10351 loss: 0.5705 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0332 loss_cls: 0.1418 acc: 98.6328 loss_bbox: 0.1981 loss_mask: 0.1800 +2024/01/18 00:06:56 - mmengine - INFO - Epoch(train) [35][1600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:53:01 time: 0.8003 data_time: 0.0328 memory: 9949 loss: 0.5037 loss_rpn_cls: 0.0118 loss_rpn_bbox: 0.0206 loss_cls: 0.1194 acc: 86.9141 loss_bbox: 0.1711 loss_mask: 0.1808 +2024/01/18 00:07:37 - mmengine - INFO - Epoch(train) [35][1650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:52:22 time: 0.8044 data_time: 0.0323 memory: 10067 loss: 0.3839 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0218 loss_cls: 0.0836 acc: 93.5547 loss_bbox: 0.1298 loss_mask: 0.1383 +2024/01/18 00:08:17 - mmengine - INFO - Epoch(train) [35][1700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:51:42 time: 0.8064 data_time: 0.0325 memory: 10391 loss: 0.5643 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0323 loss_cls: 0.1331 acc: 98.0469 loss_bbox: 0.1940 loss_mask: 0.1859 +2024/01/18 00:08:58 - mmengine - INFO - Epoch(train) [35][1750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:51:02 time: 0.8150 data_time: 0.0367 memory: 10986 loss: 0.4354 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0245 loss_cls: 0.1054 acc: 100.0000 loss_bbox: 0.1423 loss_mask: 0.1536 +2024/01/18 00:09:22 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/18 00:09:38 - mmengine - INFO - Epoch(train) [35][1800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:50:22 time: 0.7924 data_time: 0.0326 memory: 9949 loss: 0.5013 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0217 loss_cls: 0.1205 acc: 96.4844 loss_bbox: 0.1723 loss_mask: 0.1727 +2024/01/18 00:10:17 - mmengine - INFO - Epoch(train) [35][1850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:49:43 time: 0.7974 data_time: 0.0333 memory: 9366 loss: 0.5305 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0268 loss_cls: 0.1322 acc: 90.4297 loss_bbox: 0.1782 loss_mask: 0.1770 +2024/01/18 00:10:57 - mmengine - INFO - Epoch(train) [35][1900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:49:03 time: 0.7906 data_time: 0.0382 memory: 10572 loss: 0.4979 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0290 loss_cls: 0.1153 acc: 98.0469 loss_bbox: 0.1672 loss_mask: 0.1720 +2024/01/18 00:11:38 - mmengine - INFO - Epoch(train) [35][1950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:48:23 time: 0.8204 data_time: 0.0355 memory: 10583 loss: 0.4951 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0291 loss_cls: 0.1220 acc: 99.2188 loss_bbox: 0.1653 loss_mask: 0.1655 +2024/01/18 00:12:18 - mmengine - INFO - Epoch(train) [35][2000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:47:43 time: 0.7903 data_time: 0.0318 memory: 9736 loss: 0.5073 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0256 loss_cls: 0.1204 acc: 92.9688 loss_bbox: 0.1675 loss_mask: 0.1810 +2024/01/18 00:12:58 - mmengine - INFO - Epoch(train) [35][2050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:47:04 time: 0.7982 data_time: 0.0381 memory: 11099 loss: 0.4857 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0257 loss_cls: 0.1187 acc: 99.4141 loss_bbox: 0.1680 loss_mask: 0.1597 +2024/01/18 00:13:37 - mmengine - INFO - Epoch(train) [35][2100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:46:24 time: 0.7862 data_time: 0.0304 memory: 10568 loss: 0.4821 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0182 loss_cls: 0.1112 acc: 98.0469 loss_bbox: 0.1603 loss_mask: 0.1834 +2024/01/18 00:14:17 - mmengine - INFO - Epoch(train) [35][2150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:45:44 time: 0.8052 data_time: 0.0336 memory: 9599 loss: 0.4953 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0251 loss_cls: 0.1213 acc: 92.5781 loss_bbox: 0.1681 loss_mask: 0.1716 +2024/01/18 00:14:57 - mmengine - INFO - Epoch(train) [35][2200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:45:04 time: 0.7962 data_time: 0.0337 memory: 10013 loss: 0.5262 loss_rpn_cls: 0.0163 loss_rpn_bbox: 0.0251 loss_cls: 0.1208 acc: 99.6094 loss_bbox: 0.1763 loss_mask: 0.1878 +2024/01/18 00:15:38 - mmengine - INFO - Epoch(train) [35][2250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:44:25 time: 0.8153 data_time: 0.0383 memory: 10715 loss: 0.5912 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0351 loss_cls: 0.1363 acc: 100.0000 loss_bbox: 0.2030 loss_mask: 0.1971 +2024/01/18 00:16:18 - mmengine - INFO - Epoch(train) [35][2300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:43:45 time: 0.8039 data_time: 0.0313 memory: 10750 loss: 0.4482 loss_rpn_cls: 0.0089 loss_rpn_bbox: 0.0189 loss_cls: 0.1050 acc: 94.7266 loss_bbox: 0.1527 loss_mask: 0.1626 +2024/01/18 00:16:58 - mmengine - INFO - Epoch(train) [35][2350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:43:05 time: 0.7957 data_time: 0.0425 memory: 9884 loss: 0.5087 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0221 loss_cls: 0.1184 acc: 96.8750 loss_bbox: 0.1801 loss_mask: 0.1781 +2024/01/18 00:17:38 - mmengine - INFO - Epoch(train) [35][2400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:42:26 time: 0.7917 data_time: 0.0308 memory: 9736 loss: 0.4332 loss_rpn_cls: 0.0091 loss_rpn_bbox: 0.0211 loss_cls: 0.0963 acc: 99.8047 loss_bbox: 0.1477 loss_mask: 0.1590 +2024/01/18 00:18:17 - mmengine - INFO - Epoch(train) [35][2450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:41:46 time: 0.7807 data_time: 0.0326 memory: 10568 loss: 0.4720 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0215 loss_cls: 0.1111 acc: 96.0938 loss_bbox: 0.1558 loss_mask: 0.1733 +2024/01/18 00:18:56 - mmengine - INFO - Epoch(train) [35][2500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:41:06 time: 0.7922 data_time: 0.0326 memory: 10486 loss: 0.4572 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0251 loss_cls: 0.0974 acc: 98.4375 loss_bbox: 0.1550 loss_mask: 0.1676 +2024/01/18 00:19:37 - mmengine - INFO - Epoch(train) [35][2550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:40:26 time: 0.8055 data_time: 0.0367 memory: 10219 loss: 0.5049 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0338 loss_cls: 0.1161 acc: 86.7188 loss_bbox: 0.1667 loss_mask: 0.1764 +2024/01/18 00:20:17 - mmengine - INFO - Epoch(train) [35][2600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:39:47 time: 0.7997 data_time: 0.0330 memory: 9949 loss: 0.4732 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0268 loss_cls: 0.1122 acc: 96.6797 loss_bbox: 0.1593 loss_mask: 0.1652 +2024/01/18 00:20:58 - mmengine - INFO - Epoch(train) [35][2650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:39:07 time: 0.8179 data_time: 0.0376 memory: 9947 loss: 0.5522 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0330 loss_cls: 0.1466 acc: 94.5312 loss_bbox: 0.1896 loss_mask: 0.1670 +2024/01/18 00:21:38 - mmengine - INFO - Epoch(train) [35][2700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:38:27 time: 0.8131 data_time: 0.0324 memory: 11026 loss: 0.4679 loss_rpn_cls: 0.0093 loss_rpn_bbox: 0.0216 loss_cls: 0.1159 acc: 100.0000 loss_bbox: 0.1583 loss_mask: 0.1628 +2024/01/18 00:22:18 - mmengine - INFO - Epoch(train) [35][2750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:37:47 time: 0.7928 data_time: 0.0320 memory: 10067 loss: 0.4838 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0258 loss_cls: 0.1047 acc: 99.6094 loss_bbox: 0.1682 loss_mask: 0.1751 +2024/01/18 00:22:42 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/18 00:22:58 - mmengine - INFO - Epoch(train) [35][2800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:37:08 time: 0.7910 data_time: 0.0344 memory: 10496 loss: 0.5190 loss_rpn_cls: 0.0205 loss_rpn_bbox: 0.0271 loss_cls: 0.1318 acc: 98.0469 loss_bbox: 0.1775 loss_mask: 0.1620 +2024/01/18 00:23:38 - mmengine - INFO - Epoch(train) [35][2850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:36:28 time: 0.8089 data_time: 0.0466 memory: 10179 loss: 0.6340 loss_rpn_cls: 0.0290 loss_rpn_bbox: 0.0421 loss_cls: 0.1655 acc: 87.3047 loss_bbox: 0.2148 loss_mask: 0.1826 +2024/01/18 00:24:18 - mmengine - INFO - Epoch(train) [35][2900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:35:48 time: 0.7958 data_time: 0.0331 memory: 10446 loss: 0.4600 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0259 loss_cls: 0.1044 acc: 96.8750 loss_bbox: 0.1536 loss_mask: 0.1644 +2024/01/18 00:24:58 - mmengine - INFO - Epoch(train) [35][2950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:35:08 time: 0.7991 data_time: 0.0350 memory: 10342 loss: 0.4731 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0213 loss_cls: 0.1078 acc: 96.8750 loss_bbox: 0.1548 loss_mask: 0.1772 +2024/01/18 00:25:38 - mmengine - INFO - Epoch(train) [35][3000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:34:29 time: 0.7916 data_time: 0.0379 memory: 9947 loss: 0.6089 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0379 loss_cls: 0.1590 acc: 92.1875 loss_bbox: 0.2067 loss_mask: 0.1880 +2024/01/18 00:26:18 - mmengine - INFO - Epoch(train) [35][3050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:33:49 time: 0.7987 data_time: 0.0390 memory: 10235 loss: 0.4710 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0232 loss_cls: 0.1152 acc: 95.8984 loss_bbox: 0.1511 loss_mask: 0.1683 +2024/01/18 00:26:58 - mmengine - INFO - Epoch(train) [35][3100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:33:09 time: 0.8175 data_time: 0.0329 memory: 10343 loss: 0.4461 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0237 loss_cls: 0.1033 acc: 99.0234 loss_bbox: 0.1527 loss_mask: 0.1556 +2024/01/18 00:27:39 - mmengine - INFO - Epoch(train) [35][3150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:32:29 time: 0.8055 data_time: 0.0339 memory: 10327 loss: 0.5386 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0266 loss_cls: 0.1364 acc: 98.0469 loss_bbox: 0.1833 loss_mask: 0.1800 +2024/01/18 00:28:19 - mmengine - INFO - Epoch(train) [35][3200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:31:50 time: 0.8013 data_time: 0.0319 memory: 10516 loss: 0.5424 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0277 loss_cls: 0.1371 acc: 89.2578 loss_bbox: 0.1922 loss_mask: 0.1634 +2024/01/18 00:28:59 - mmengine - INFO - Epoch(train) [35][3250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:31:10 time: 0.8029 data_time: 0.0354 memory: 10299 loss: 0.5115 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0268 loss_cls: 0.1238 acc: 98.6328 loss_bbox: 0.1698 loss_mask: 0.1770 +2024/01/18 00:29:40 - mmengine - INFO - Epoch(train) [35][3300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:30:30 time: 0.8091 data_time: 0.0350 memory: 10572 loss: 0.4948 loss_rpn_cls: 0.0176 loss_rpn_bbox: 0.0250 loss_cls: 0.1149 acc: 99.4141 loss_bbox: 0.1708 loss_mask: 0.1666 +2024/01/18 00:30:20 - mmengine - INFO - Epoch(train) [35][3350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:29:51 time: 0.8106 data_time: 0.0381 memory: 10788 loss: 0.4508 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0221 loss_cls: 0.1037 acc: 98.8281 loss_bbox: 0.1468 loss_mask: 0.1690 +2024/01/18 00:31:00 - mmengine - INFO - Epoch(train) [35][3400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:29:11 time: 0.8049 data_time: 0.0332 memory: 8869 loss: 0.4156 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0192 loss_cls: 0.0972 acc: 99.8047 loss_bbox: 0.1335 loss_mask: 0.1538 +2024/01/18 00:31:41 - mmengine - INFO - Epoch(train) [35][3450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:28:31 time: 0.8009 data_time: 0.0343 memory: 10568 loss: 0.4874 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0296 loss_cls: 0.1124 acc: 88.6719 loss_bbox: 0.1710 loss_mask: 0.1659 +2024/01/18 00:32:21 - mmengine - INFO - Epoch(train) [35][3500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:27:51 time: 0.8121 data_time: 0.0307 memory: 10397 loss: 0.4799 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0210 loss_cls: 0.1174 acc: 99.0234 loss_bbox: 0.1672 loss_mask: 0.1589 +2024/01/18 00:33:01 - mmengine - INFO - Epoch(train) [35][3550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:27:12 time: 0.8057 data_time: 0.0322 memory: 10067 loss: 0.6209 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0321 loss_cls: 0.1579 acc: 100.0000 loss_bbox: 0.2176 loss_mask: 0.1952 +2024/01/18 00:33:41 - mmengine - INFO - Epoch(train) [35][3600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:26:32 time: 0.7905 data_time: 0.0333 memory: 10330 loss: 0.5466 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0297 loss_cls: 0.1268 acc: 97.6562 loss_bbox: 0.1962 loss_mask: 0.1842 +2024/01/18 00:34:21 - mmengine - INFO - Epoch(train) [35][3650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:25:52 time: 0.8003 data_time: 0.0393 memory: 9904 loss: 0.5287 loss_rpn_cls: 0.0193 loss_rpn_bbox: 0.0300 loss_cls: 0.1322 acc: 94.5312 loss_bbox: 0.1808 loss_mask: 0.1665 +2024/01/18 00:35:01 - mmengine - INFO - Epoch(train) [35][3700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:25:12 time: 0.8035 data_time: 0.0340 memory: 10715 loss: 0.4207 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0214 loss_cls: 0.0933 acc: 99.4141 loss_bbox: 0.1441 loss_mask: 0.1519 +2024/01/18 00:35:42 - mmengine - INFO - Epoch(train) [35][3750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:24:33 time: 0.8182 data_time: 0.0382 memory: 9601 loss: 0.5178 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0300 loss_cls: 0.1298 acc: 97.8516 loss_bbox: 0.1822 loss_mask: 0.1650 +2024/01/18 00:36:06 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/18 00:36:22 - mmengine - INFO - Epoch(train) [35][3800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:23:53 time: 0.7948 data_time: 0.0370 memory: 9847 loss: 0.5431 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0286 loss_cls: 0.1280 acc: 98.8281 loss_bbox: 0.1923 loss_mask: 0.1788 +2024/01/18 00:37:02 - mmengine - INFO - Epoch(train) [35][3850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:23:13 time: 0.7919 data_time: 0.0270 memory: 10419 loss: 0.4889 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0259 loss_cls: 0.1183 acc: 98.6328 loss_bbox: 0.1695 loss_mask: 0.1620 +2024/01/18 00:37:41 - mmengine - INFO - Epoch(train) [35][3900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:22:34 time: 0.7882 data_time: 0.0302 memory: 9949 loss: 0.4783 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0216 loss_cls: 0.1101 acc: 99.8047 loss_bbox: 0.1758 loss_mask: 0.1583 +2024/01/18 00:38:23 - mmengine - INFO - Epoch(train) [35][3950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:21:54 time: 0.8285 data_time: 0.0365 memory: 10572 loss: 0.5420 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0274 loss_cls: 0.1344 acc: 100.0000 loss_bbox: 0.1956 loss_mask: 0.1739 +2024/01/18 00:39:04 - mmengine - INFO - Epoch(train) [35][4000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:21:14 time: 0.8167 data_time: 0.0411 memory: 11102 loss: 0.4761 loss_rpn_cls: 0.0126 loss_rpn_bbox: 0.0298 loss_cls: 0.1112 acc: 99.8047 loss_bbox: 0.1570 loss_mask: 0.1656 +2024/01/18 00:39:44 - mmengine - INFO - Epoch(train) [35][4050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:20:34 time: 0.7998 data_time: 0.0349 memory: 10067 loss: 0.4730 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0269 loss_cls: 0.1079 acc: 83.5938 loss_bbox: 0.1604 loss_mask: 0.1625 +2024/01/18 00:40:24 - mmengine - INFO - Epoch(train) [35][4100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:19:55 time: 0.8013 data_time: 0.0290 memory: 10535 loss: 0.5006 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0198 loss_cls: 0.1203 acc: 98.4375 loss_bbox: 0.1810 loss_mask: 0.1633 +2024/01/18 00:41:04 - mmengine - INFO - Epoch(train) [35][4150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:19:15 time: 0.7968 data_time: 0.0306 memory: 11102 loss: 0.4965 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0240 loss_cls: 0.1248 acc: 100.0000 loss_bbox: 0.1572 loss_mask: 0.1739 +2024/01/18 00:41:44 - mmengine - INFO - Epoch(train) [35][4200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:18:35 time: 0.8003 data_time: 0.0278 memory: 9786 loss: 0.4321 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0198 loss_cls: 0.0938 acc: 99.6094 loss_bbox: 0.1449 loss_mask: 0.1621 +2024/01/18 00:42:24 - mmengine - INFO - Epoch(train) [35][4250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:17:55 time: 0.8091 data_time: 0.0323 memory: 9949 loss: 0.5031 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0247 loss_cls: 0.1237 acc: 93.9453 loss_bbox: 0.1659 loss_mask: 0.1764 +2024/01/18 00:43:04 - mmengine - INFO - Epoch(train) [35][4300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:17:16 time: 0.8029 data_time: 0.0400 memory: 10067 loss: 0.5690 loss_rpn_cls: 0.0204 loss_rpn_bbox: 0.0304 loss_cls: 0.1412 acc: 97.6562 loss_bbox: 0.1926 loss_mask: 0.1843 +2024/01/18 00:43:44 - mmengine - INFO - Epoch(train) [35][4350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:16:36 time: 0.7959 data_time: 0.0316 memory: 10361 loss: 0.5013 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0223 loss_cls: 0.1214 acc: 99.8047 loss_bbox: 0.1757 loss_mask: 0.1705 +2024/01/18 00:44:24 - mmengine - INFO - Epoch(train) [35][4400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:15:56 time: 0.8022 data_time: 0.0296 memory: 10218 loss: 0.4889 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0271 loss_cls: 0.1086 acc: 98.8281 loss_bbox: 0.1672 loss_mask: 0.1700 +2024/01/18 00:45:04 - mmengine - INFO - Epoch(train) [35][4450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:15:16 time: 0.7990 data_time: 0.0335 memory: 10067 loss: 0.4618 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0246 loss_cls: 0.1070 acc: 93.7500 loss_bbox: 0.1516 loss_mask: 0.1673 +2024/01/18 00:45:45 - mmengine - INFO - Epoch(train) [35][4500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:14:37 time: 0.8062 data_time: 0.0307 memory: 9320 loss: 0.5053 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0263 loss_cls: 0.1213 acc: 99.2188 loss_bbox: 0.1644 loss_mask: 0.1769 +2024/01/18 00:46:24 - mmengine - INFO - Epoch(train) [35][4550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:13:57 time: 0.7856 data_time: 0.0293 memory: 9892 loss: 0.4784 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0190 loss_cls: 0.1196 acc: 98.2422 loss_bbox: 0.1618 loss_mask: 0.1663 +2024/01/18 00:47:04 - mmengine - INFO - Epoch(train) [35][4600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:13:17 time: 0.7927 data_time: 0.0310 memory: 10572 loss: 0.4712 loss_rpn_cls: 0.0097 loss_rpn_bbox: 0.0220 loss_cls: 0.1060 acc: 99.4141 loss_bbox: 0.1634 loss_mask: 0.1701 +2024/01/18 00:47:43 - mmengine - INFO - Epoch(train) [35][4650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:12:37 time: 0.7826 data_time: 0.0372 memory: 10264 loss: 0.5498 loss_rpn_cls: 0.0070 loss_rpn_bbox: 0.0295 loss_cls: 0.1251 acc: 98.6328 loss_bbox: 0.1900 loss_mask: 0.1982 +2024/01/18 00:48:23 - mmengine - INFO - Epoch(train) [35][4700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:11:58 time: 0.7943 data_time: 0.0330 memory: 10503 loss: 0.4399 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0208 loss_cls: 0.1096 acc: 85.7422 loss_bbox: 0.1530 loss_mask: 0.1436 +2024/01/18 00:49:04 - mmengine - INFO - Epoch(train) [35][4750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:11:18 time: 0.8248 data_time: 0.0356 memory: 10572 loss: 0.5135 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0250 loss_cls: 0.1270 acc: 99.8047 loss_bbox: 0.1735 loss_mask: 0.1744 +2024/01/18 00:49:28 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/18 00:49:44 - mmengine - INFO - Epoch(train) [35][4800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:10:38 time: 0.8103 data_time: 0.0321 memory: 10789 loss: 0.5046 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0257 loss_cls: 0.1271 acc: 96.0938 loss_bbox: 0.1724 loss_mask: 0.1670 +2024/01/18 00:50:25 - mmengine - INFO - Epoch(train) [35][4850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:09:59 time: 0.8066 data_time: 0.0337 memory: 10568 loss: 0.5239 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0282 loss_cls: 0.1293 acc: 96.0938 loss_bbox: 0.1843 loss_mask: 0.1684 +2024/01/18 00:51:04 - mmengine - INFO - Epoch(train) [35][4900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:09:19 time: 0.7895 data_time: 0.0344 memory: 10568 loss: 0.5462 loss_rpn_cls: 0.0179 loss_rpn_bbox: 0.0272 loss_cls: 0.1300 acc: 95.8984 loss_bbox: 0.1894 loss_mask: 0.1816 +2024/01/18 00:51:44 - mmengine - INFO - Epoch(train) [35][4950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:08:39 time: 0.7954 data_time: 0.0350 memory: 10715 loss: 0.5457 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0283 loss_cls: 0.1350 acc: 97.2656 loss_bbox: 0.1955 loss_mask: 0.1724 +2024/01/18 00:52:24 - mmengine - INFO - Epoch(train) [35][5000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:07:59 time: 0.8023 data_time: 0.0362 memory: 9800 loss: 0.5100 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0262 loss_cls: 0.1238 acc: 98.6328 loss_bbox: 0.1754 loss_mask: 0.1686 +2024/01/18 00:53:04 - mmengine - INFO - Epoch(train) [35][5050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:07:20 time: 0.7952 data_time: 0.0311 memory: 9947 loss: 0.4947 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0271 loss_cls: 0.1145 acc: 98.8281 loss_bbox: 0.1667 loss_mask: 0.1761 +2024/01/18 00:53:44 - mmengine - INFO - Epoch(train) [35][5100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:06:40 time: 0.8025 data_time: 0.0331 memory: 10067 loss: 0.5539 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0255 loss_cls: 0.1276 acc: 93.9453 loss_bbox: 0.2014 loss_mask: 0.1867 +2024/01/18 00:54:24 - mmengine - INFO - Epoch(train) [35][5150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:06:00 time: 0.7971 data_time: 0.0340 memory: 10067 loss: 0.4876 loss_rpn_cls: 0.0171 loss_rpn_bbox: 0.0274 loss_cls: 0.1180 acc: 99.6094 loss_bbox: 0.1597 loss_mask: 0.1653 +2024/01/18 00:55:05 - mmengine - INFO - Epoch(train) [35][5200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:05:20 time: 0.8078 data_time: 0.0343 memory: 9793 loss: 0.4874 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0226 loss_cls: 0.1131 acc: 98.6328 loss_bbox: 0.1588 loss_mask: 0.1778 +2024/01/18 00:55:44 - mmengine - INFO - Epoch(train) [35][5250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:04:41 time: 0.7924 data_time: 0.0340 memory: 10208 loss: 0.5981 loss_rpn_cls: 0.0201 loss_rpn_bbox: 0.0284 loss_cls: 0.1334 acc: 97.6562 loss_bbox: 0.2207 loss_mask: 0.1955 +2024/01/18 00:56:25 - mmengine - INFO - Epoch(train) [35][5300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:04:01 time: 0.8059 data_time: 0.0335 memory: 10067 loss: 0.5764 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0266 loss_cls: 0.1516 acc: 95.5078 loss_bbox: 0.1964 loss_mask: 0.1843 +2024/01/18 00:57:04 - mmengine - INFO - Epoch(train) [35][5350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:03:21 time: 0.7970 data_time: 0.0327 memory: 10572 loss: 0.5960 loss_rpn_cls: 0.0178 loss_rpn_bbox: 0.0327 loss_cls: 0.1464 acc: 88.8672 loss_bbox: 0.2062 loss_mask: 0.1929 +2024/01/18 00:57:45 - mmengine - INFO - Epoch(train) [35][5400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:02:41 time: 0.8026 data_time: 0.0382 memory: 10582 loss: 0.5437 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0273 loss_cls: 0.1279 acc: 99.0234 loss_bbox: 0.1878 loss_mask: 0.1884 +2024/01/18 00:58:24 - mmengine - INFO - Epoch(train) [35][5450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:02:02 time: 0.7844 data_time: 0.0364 memory: 9386 loss: 0.5108 loss_rpn_cls: 0.0130 loss_rpn_bbox: 0.0269 loss_cls: 0.1212 acc: 99.0234 loss_bbox: 0.1748 loss_mask: 0.1749 +2024/01/18 00:59:04 - mmengine - INFO - Epoch(train) [35][5500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:01:22 time: 0.8074 data_time: 0.0347 memory: 10950 loss: 0.4348 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0205 loss_cls: 0.1085 acc: 97.0703 loss_bbox: 0.1429 loss_mask: 0.1519 +2024/01/18 00:59:45 - mmengine - INFO - Epoch(train) [35][5550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:00:42 time: 0.8086 data_time: 0.0277 memory: 10489 loss: 0.4239 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0201 loss_cls: 0.0861 acc: 94.5312 loss_bbox: 0.1431 loss_mask: 0.1634 +2024/01/18 01:00:25 - mmengine - INFO - Epoch(train) [35][5600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 2:00:02 time: 0.8095 data_time: 0.0373 memory: 10572 loss: 0.5013 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0239 loss_cls: 0.1169 acc: 100.0000 loss_bbox: 0.1760 loss_mask: 0.1692 +2024/01/18 01:01:06 - mmengine - INFO - Epoch(train) [35][5650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:59:23 time: 0.8041 data_time: 0.0359 memory: 10572 loss: 0.5251 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0261 loss_cls: 0.1217 acc: 91.7969 loss_bbox: 0.1850 loss_mask: 0.1813 +2024/01/18 01:01:45 - mmengine - INFO - Epoch(train) [35][5700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:58:43 time: 0.7943 data_time: 0.0327 memory: 10443 loss: 0.5108 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0259 loss_cls: 0.1243 acc: 97.8516 loss_bbox: 0.1775 loss_mask: 0.1713 +2024/01/18 01:02:25 - mmengine - INFO - Epoch(train) [35][5750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:58:03 time: 0.8003 data_time: 0.0396 memory: 10568 loss: 0.4892 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0282 loss_cls: 0.1213 acc: 98.4375 loss_bbox: 0.1570 loss_mask: 0.1669 +2024/01/18 01:02:49 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/18 01:03:05 - mmengine - INFO - Epoch(train) [35][5800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:57:23 time: 0.7933 data_time: 0.0308 memory: 10572 loss: 0.4557 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0217 loss_cls: 0.1073 acc: 96.4844 loss_bbox: 0.1523 loss_mask: 0.1636 +2024/01/18 01:03:45 - mmengine - INFO - Epoch(train) [35][5850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:56:44 time: 0.8075 data_time: 0.0386 memory: 10013 loss: 0.5002 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0300 loss_cls: 0.1192 acc: 98.6328 loss_bbox: 0.1784 loss_mask: 0.1602 +2024/01/18 01:04:26 - mmengine - INFO - Epoch(train) [35][5900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:56:04 time: 0.8077 data_time: 0.0360 memory: 10067 loss: 0.5159 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0264 loss_cls: 0.1208 acc: 98.0469 loss_bbox: 0.1775 loss_mask: 0.1776 +2024/01/18 01:05:06 - mmengine - INFO - Epoch(train) [35][5950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:55:24 time: 0.8063 data_time: 0.0347 memory: 11313 loss: 0.4837 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0192 loss_cls: 0.1073 acc: 99.8047 loss_bbox: 0.1756 loss_mask: 0.1713 +2024/01/18 01:05:46 - mmengine - INFO - Epoch(train) [35][6000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:54:45 time: 0.7908 data_time: 0.0325 memory: 10067 loss: 0.4487 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0220 loss_cls: 0.1048 acc: 92.1875 loss_bbox: 0.1575 loss_mask: 0.1484 +2024/01/18 01:06:26 - mmengine - INFO - Epoch(train) [35][6050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:54:05 time: 0.8054 data_time: 0.0343 memory: 9921 loss: 0.4599 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0215 loss_cls: 0.1046 acc: 89.2578 loss_bbox: 0.1552 loss_mask: 0.1685 +2024/01/18 01:07:07 - mmengine - INFO - Epoch(train) [35][6100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:53:25 time: 0.8067 data_time: 0.0355 memory: 10067 loss: 0.5279 loss_rpn_cls: 0.0131 loss_rpn_bbox: 0.0264 loss_cls: 0.1234 acc: 90.6250 loss_bbox: 0.1844 loss_mask: 0.1805 +2024/01/18 01:07:47 - mmengine - INFO - Epoch(train) [35][6150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:52:45 time: 0.8048 data_time: 0.0371 memory: 10067 loss: 0.5598 loss_rpn_cls: 0.0164 loss_rpn_bbox: 0.0271 loss_cls: 0.1384 acc: 98.6328 loss_bbox: 0.1993 loss_mask: 0.1786 +2024/01/18 01:08:27 - mmengine - INFO - Epoch(train) [35][6200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:52:06 time: 0.7990 data_time: 0.0368 memory: 10539 loss: 0.4863 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0309 loss_cls: 0.1098 acc: 85.9375 loss_bbox: 0.1621 loss_mask: 0.1648 +2024/01/18 01:09:07 - mmengine - INFO - Epoch(train) [35][6250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:51:26 time: 0.8047 data_time: 0.0392 memory: 11101 loss: 0.6191 loss_rpn_cls: 0.0188 loss_rpn_bbox: 0.0344 loss_cls: 0.1447 acc: 100.0000 loss_bbox: 0.2188 loss_mask: 0.2023 +2024/01/18 01:09:47 - mmengine - INFO - Epoch(train) [35][6300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:50:46 time: 0.7990 data_time: 0.0323 memory: 10788 loss: 0.5240 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0296 loss_cls: 0.1263 acc: 95.7031 loss_bbox: 0.1808 loss_mask: 0.1767 +2024/01/18 01:10:28 - mmengine - INFO - Epoch(train) [35][6350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:50:06 time: 0.8208 data_time: 0.0333 memory: 10789 loss: 0.4203 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0166 loss_cls: 0.1040 acc: 90.0391 loss_bbox: 0.1418 loss_mask: 0.1476 +2024/01/18 01:11:08 - mmengine - INFO - Epoch(train) [35][6400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:49:27 time: 0.7931 data_time: 0.0350 memory: 10461 loss: 0.5346 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0228 loss_cls: 0.1252 acc: 89.4531 loss_bbox: 0.1982 loss_mask: 0.1750 +2024/01/18 01:11:49 - mmengine - INFO - Epoch(train) [35][6450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:48:47 time: 0.8125 data_time: 0.0362 memory: 10582 loss: 0.4743 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0207 loss_cls: 0.1047 acc: 97.8516 loss_bbox: 0.1643 loss_mask: 0.1765 +2024/01/18 01:12:28 - mmengine - INFO - Epoch(train) [35][6500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:48:07 time: 0.7973 data_time: 0.0346 memory: 11102 loss: 0.4990 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0270 loss_cls: 0.1146 acc: 99.2188 loss_bbox: 0.1674 loss_mask: 0.1741 +2024/01/18 01:13:08 - mmengine - INFO - Epoch(train) [35][6550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:47:27 time: 0.7942 data_time: 0.0358 memory: 9551 loss: 0.5213 loss_rpn_cls: 0.0122 loss_rpn_bbox: 0.0235 loss_cls: 0.1287 acc: 98.6328 loss_bbox: 0.1782 loss_mask: 0.1786 +2024/01/18 01:13:48 - mmengine - INFO - Epoch(train) [35][6600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:46:48 time: 0.7995 data_time: 0.0355 memory: 9434 loss: 0.4923 loss_rpn_cls: 0.0224 loss_rpn_bbox: 0.0284 loss_cls: 0.1172 acc: 89.2578 loss_bbox: 0.1603 loss_mask: 0.1640 +2024/01/18 01:14:28 - mmengine - INFO - Epoch(train) [35][6650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:46:08 time: 0.7935 data_time: 0.0380 memory: 10572 loss: 0.5352 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0298 loss_cls: 0.1273 acc: 95.8984 loss_bbox: 0.1869 loss_mask: 0.1808 +2024/01/18 01:15:08 - mmengine - INFO - Epoch(train) [35][6700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:45:28 time: 0.8060 data_time: 0.0310 memory: 10192 loss: 0.5028 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0268 loss_cls: 0.1162 acc: 91.4062 loss_bbox: 0.1726 loss_mask: 0.1732 +2024/01/18 01:15:48 - mmengine - INFO - Epoch(train) [35][6750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:44:48 time: 0.7904 data_time: 0.0348 memory: 9601 loss: 0.5490 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0257 loss_cls: 0.1173 acc: 98.4375 loss_bbox: 0.1833 loss_mask: 0.2067 +2024/01/18 01:16:12 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/18 01:16:28 - mmengine - INFO - Epoch(train) [35][6800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:44:09 time: 0.8007 data_time: 0.0321 memory: 11102 loss: 0.5163 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0222 loss_cls: 0.1264 acc: 92.9688 loss_bbox: 0.1834 loss_mask: 0.1752 +2024/01/18 01:17:08 - mmengine - INFO - Epoch(train) [35][6850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:43:29 time: 0.8043 data_time: 0.0332 memory: 11052 loss: 0.5394 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0259 loss_cls: 0.1219 acc: 99.8047 loss_bbox: 0.1881 loss_mask: 0.1900 +2024/01/18 01:17:48 - mmengine - INFO - Epoch(train) [35][6900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:42:49 time: 0.7952 data_time: 0.0401 memory: 10583 loss: 0.4972 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0312 loss_cls: 0.1112 acc: 100.0000 loss_bbox: 0.1672 loss_mask: 0.1693 +2024/01/18 01:18:28 - mmengine - INFO - Epoch(train) [35][6950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:42:09 time: 0.7915 data_time: 0.0398 memory: 10572 loss: 0.6177 loss_rpn_cls: 0.0199 loss_rpn_bbox: 0.0326 loss_cls: 0.1562 acc: 91.4062 loss_bbox: 0.2176 loss_mask: 0.1914 +2024/01/18 01:19:07 - mmengine - INFO - Epoch(train) [35][7000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:41:30 time: 0.7893 data_time: 0.0355 memory: 10127 loss: 0.4739 loss_rpn_cls: 0.0078 loss_rpn_bbox: 0.0261 loss_cls: 0.1079 acc: 99.4141 loss_bbox: 0.1584 loss_mask: 0.1737 +2024/01/18 01:19:47 - mmengine - INFO - Epoch(train) [35][7050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:40:50 time: 0.7955 data_time: 0.0352 memory: 10568 loss: 0.4221 loss_rpn_cls: 0.0076 loss_rpn_bbox: 0.0219 loss_cls: 0.0989 acc: 99.6094 loss_bbox: 0.1473 loss_mask: 0.1463 +2024/01/18 01:20:28 - mmengine - INFO - Epoch(train) [35][7100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:40:10 time: 0.8132 data_time: 0.0364 memory: 10583 loss: 0.4556 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0262 loss_cls: 0.1070 acc: 96.6797 loss_bbox: 0.1492 loss_mask: 0.1548 +2024/01/18 01:21:08 - mmengine - INFO - Epoch(train) [35][7150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:39:30 time: 0.8039 data_time: 0.0409 memory: 10268 loss: 0.5390 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0338 loss_cls: 0.1369 acc: 100.0000 loss_bbox: 0.1819 loss_mask: 0.1690 +2024/01/18 01:21:48 - mmengine - INFO - Epoch(train) [35][7200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:38:51 time: 0.8014 data_time: 0.0428 memory: 9734 loss: 0.5723 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0328 loss_cls: 0.1395 acc: 98.0469 loss_bbox: 0.1904 loss_mask: 0.1899 +2024/01/18 01:22:28 - mmengine - INFO - Epoch(train) [35][7250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:38:11 time: 0.7986 data_time: 0.0335 memory: 10252 loss: 0.4707 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0231 loss_cls: 0.1064 acc: 99.8047 loss_bbox: 0.1659 loss_mask: 0.1652 +2024/01/18 01:23:07 - mmengine - INFO - Epoch(train) [35][7300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:37:31 time: 0.7847 data_time: 0.0314 memory: 9253 loss: 0.4240 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0170 loss_cls: 0.0958 acc: 92.3828 loss_bbox: 0.1294 loss_mask: 0.1659 +2024/01/18 01:23:31 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/18 01:23:31 - mmengine - INFO - Saving checkpoint at 35 epochs +2024/01/18 01:23:47 - mmengine - INFO - Epoch(val) [35][ 50/313] eta: 0:00:54 time: 0.2065 data_time: 0.0490 memory: 10067 +2024/01/18 01:23:57 - mmengine - INFO - Epoch(val) [35][100/313] eta: 0:00:42 time: 0.1947 data_time: 0.0368 memory: 2388 +2024/01/18 01:24:06 - mmengine - INFO - Epoch(val) [35][150/313] eta: 0:00:32 time: 0.1938 data_time: 0.0394 memory: 2431 +2024/01/18 01:24:17 - mmengine - INFO - Epoch(val) [35][200/313] eta: 0:00:22 time: 0.2117 data_time: 0.0539 memory: 2403 +2024/01/18 01:24:26 - mmengine - INFO - Epoch(val) [35][250/313] eta: 0:00:12 time: 0.1696 data_time: 0.0173 memory: 2431 +2024/01/18 01:24:35 - mmengine - INFO - Epoch(val) [35][300/313] eta: 0:00:02 time: 0.1972 data_time: 0.0410 memory: 2403 +2024/01/18 01:24:42 - mmengine - INFO - Evaluating bbox... +2024/01/18 01:25:02 - mmengine - INFO - bbox_mAP_copypaste: 0.497 0.701 0.542 0.329 0.532 0.659 +2024/01/18 01:25:02 - mmengine - INFO - Evaluating segm... +2024/01/18 01:25:24 - mmengine - INFO - segm_mAP_copypaste: 0.439 0.674 0.474 0.246 0.469 0.629 +2024/01/18 01:25:25 - mmengine - INFO - Epoch(val) [35][313/313] coco/bbox_mAP: 0.4970 coco/bbox_mAP_50: 0.7010 coco/bbox_mAP_75: 0.5420 coco/bbox_mAP_s: 0.3290 coco/bbox_mAP_m: 0.5320 coco/bbox_mAP_l: 0.6590 coco/segm_mAP: 0.4390 coco/segm_mAP_50: 0.6740 coco/segm_mAP_75: 0.4740 coco/segm_mAP_s: 0.2460 coco/segm_mAP_m: 0.4690 coco/segm_mAP_l: 0.6290 data_time: 0.0380 time: 0.1937 +2024/01/18 01:26:06 - mmengine - INFO - Epoch(train) [36][ 50/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:36:28 time: 0.8176 data_time: 0.0369 memory: 9884 loss: 0.4297 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0173 loss_cls: 0.1011 acc: 99.6094 loss_bbox: 0.1453 loss_mask: 0.1567 +2024/01/18 01:26:46 - mmengine - INFO - Epoch(train) [36][ 100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:35:48 time: 0.8012 data_time: 0.0350 memory: 10555 loss: 0.4461 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0245 loss_cls: 0.1063 acc: 98.0469 loss_bbox: 0.1483 loss_mask: 0.1567 +2024/01/18 01:27:26 - mmengine - INFO - Epoch(train) [36][ 150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:35:08 time: 0.8052 data_time: 0.0308 memory: 10572 loss: 0.4822 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0250 loss_cls: 0.1080 acc: 99.6094 loss_bbox: 0.1647 loss_mask: 0.1752 +2024/01/18 01:28:06 - mmengine - INFO - Epoch(train) [36][ 200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:34:28 time: 0.7999 data_time: 0.0388 memory: 10568 loss: 0.4589 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0201 loss_cls: 0.0992 acc: 99.2188 loss_bbox: 0.1595 loss_mask: 0.1669 +2024/01/18 01:28:46 - mmengine - INFO - Epoch(train) [36][ 250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:33:49 time: 0.7925 data_time: 0.0303 memory: 10453 loss: 0.5179 loss_rpn_cls: 0.0225 loss_rpn_bbox: 0.0249 loss_cls: 0.1266 acc: 96.8750 loss_bbox: 0.1762 loss_mask: 0.1678 +2024/01/18 01:29:26 - mmengine - INFO - Epoch(train) [36][ 300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:33:09 time: 0.7987 data_time: 0.0342 memory: 10583 loss: 0.4963 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0265 loss_cls: 0.1149 acc: 95.7031 loss_bbox: 0.1708 loss_mask: 0.1700 +2024/01/18 01:30:07 - mmengine - INFO - Epoch(train) [36][ 350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:32:29 time: 0.8116 data_time: 0.0260 memory: 10828 loss: 0.3726 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0130 loss_cls: 0.0959 acc: 98.8281 loss_bbox: 0.1165 loss_mask: 0.1378 +2024/01/18 01:30:47 - mmengine - INFO - Epoch(train) [36][ 400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:31:49 time: 0.8031 data_time: 0.0363 memory: 10161 loss: 0.5569 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0271 loss_cls: 0.1360 acc: 90.8203 loss_bbox: 0.2011 loss_mask: 0.1768 +2024/01/18 01:31:27 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/18 01:31:27 - mmengine - INFO - Epoch(train) [36][ 450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:31:10 time: 0.7970 data_time: 0.0320 memory: 9601 loss: 0.5234 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0232 loss_cls: 0.1240 acc: 99.4141 loss_bbox: 0.1859 loss_mask: 0.1778 +2024/01/18 01:32:07 - mmengine - INFO - Epoch(train) [36][ 500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:30:30 time: 0.8047 data_time: 0.0392 memory: 10100 loss: 0.5652 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0296 loss_cls: 0.1348 acc: 87.3047 loss_bbox: 0.1975 loss_mask: 0.1793 +2024/01/18 01:32:47 - mmengine - INFO - Epoch(train) [36][ 550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:29:50 time: 0.7948 data_time: 0.0304 memory: 9253 loss: 0.4658 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0214 loss_cls: 0.0995 acc: 99.4141 loss_bbox: 0.1556 loss_mask: 0.1747 +2024/01/18 01:33:26 - mmengine - INFO - Epoch(train) [36][ 600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:29:10 time: 0.7910 data_time: 0.0372 memory: 9737 loss: 0.5542 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0268 loss_cls: 0.1327 acc: 95.8984 loss_bbox: 0.1886 loss_mask: 0.1962 +2024/01/18 01:34:07 - mmengine - INFO - Epoch(train) [36][ 650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:28:31 time: 0.8058 data_time: 0.0381 memory: 10572 loss: 0.4973 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0260 loss_cls: 0.1137 acc: 97.8516 loss_bbox: 0.1686 loss_mask: 0.1760 +2024/01/18 01:34:47 - mmengine - INFO - Epoch(train) [36][ 700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:27:51 time: 0.8026 data_time: 0.0334 memory: 10529 loss: 0.3920 loss_rpn_cls: 0.0120 loss_rpn_bbox: 0.0193 loss_cls: 0.0842 acc: 99.4141 loss_bbox: 0.1333 loss_mask: 0.1432 +2024/01/18 01:35:27 - mmengine - INFO - Epoch(train) [36][ 750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:27:11 time: 0.7932 data_time: 0.0307 memory: 11075 loss: 0.4612 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0214 loss_cls: 0.1084 acc: 94.7266 loss_bbox: 0.1582 loss_mask: 0.1624 +2024/01/18 01:36:06 - mmengine - INFO - Epoch(train) [36][ 800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:26:31 time: 0.7955 data_time: 0.0349 memory: 10404 loss: 0.4917 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0274 loss_cls: 0.1103 acc: 99.2188 loss_bbox: 0.1662 loss_mask: 0.1777 +2024/01/18 01:36:46 - mmengine - INFO - Epoch(train) [36][ 850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:25:52 time: 0.7941 data_time: 0.0318 memory: 10087 loss: 0.4762 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0284 loss_cls: 0.1009 acc: 96.0938 loss_bbox: 0.1570 loss_mask: 0.1743 +2024/01/18 01:37:27 - mmengine - INFO - Epoch(train) [36][ 900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:25:12 time: 0.8167 data_time: 0.0385 memory: 11057 loss: 0.4645 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0251 loss_cls: 0.1051 acc: 91.7969 loss_bbox: 0.1618 loss_mask: 0.1625 +2024/01/18 01:38:08 - mmengine - INFO - Epoch(train) [36][ 950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:24:32 time: 0.8108 data_time: 0.0322 memory: 9657 loss: 0.4486 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0187 loss_cls: 0.1097 acc: 95.8984 loss_bbox: 0.1444 loss_mask: 0.1646 +2024/01/18 01:38:47 - mmengine - INFO - Epoch(train) [36][1000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:23:52 time: 0.7930 data_time: 0.0354 memory: 9441 loss: 0.4990 loss_rpn_cls: 0.0161 loss_rpn_bbox: 0.0236 loss_cls: 0.1232 acc: 99.2188 loss_bbox: 0.1635 loss_mask: 0.1725 +2024/01/18 01:39:26 - mmengine - INFO - Epoch(train) [36][1050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:23:13 time: 0.7834 data_time: 0.0317 memory: 10568 loss: 0.4790 loss_rpn_cls: 0.0156 loss_rpn_bbox: 0.0225 loss_cls: 0.1120 acc: 99.4141 loss_bbox: 0.1712 loss_mask: 0.1577 +2024/01/18 01:40:07 - mmengine - INFO - Epoch(train) [36][1100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:22:33 time: 0.8116 data_time: 0.0311 memory: 9601 loss: 0.5036 loss_rpn_cls: 0.0220 loss_rpn_bbox: 0.0277 loss_cls: 0.1214 acc: 83.7891 loss_bbox: 0.1694 loss_mask: 0.1631 +2024/01/18 01:40:47 - mmengine - INFO - Epoch(train) [36][1150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:21:53 time: 0.7891 data_time: 0.0347 memory: 10067 loss: 0.5002 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0254 loss_cls: 0.1227 acc: 99.0234 loss_bbox: 0.1675 loss_mask: 0.1732 +2024/01/18 01:41:27 - mmengine - INFO - Epoch(train) [36][1200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:21:13 time: 0.8056 data_time: 0.0361 memory: 10572 loss: 0.5595 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0291 loss_cls: 0.1387 acc: 89.0625 loss_bbox: 0.1852 loss_mask: 0.1892 +2024/01/18 01:42:07 - mmengine - INFO - Epoch(train) [36][1250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:20:34 time: 0.7945 data_time: 0.0362 memory: 10572 loss: 0.5419 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0281 loss_cls: 0.1314 acc: 85.7422 loss_bbox: 0.1907 loss_mask: 0.1782 +2024/01/18 01:42:48 - mmengine - INFO - Epoch(train) [36][1300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:19:54 time: 0.8185 data_time: 0.0313 memory: 9601 loss: 0.5509 loss_rpn_cls: 0.0194 loss_rpn_bbox: 0.0299 loss_cls: 0.1290 acc: 98.0469 loss_bbox: 0.1879 loss_mask: 0.1848 +2024/01/18 01:43:29 - mmengine - INFO - Epoch(train) [36][1350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:19:14 time: 0.8308 data_time: 0.0363 memory: 10572 loss: 0.4837 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0273 loss_cls: 0.1122 acc: 93.5547 loss_bbox: 0.1645 loss_mask: 0.1685 +2024/01/18 01:44:09 - mmengine - INFO - Epoch(train) [36][1400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:18:34 time: 0.7940 data_time: 0.0314 memory: 10264 loss: 0.5332 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0238 loss_cls: 0.1190 acc: 86.7188 loss_bbox: 0.1870 loss_mask: 0.1896 +2024/01/18 01:44:49 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/18 01:44:49 - mmengine - INFO - Epoch(train) [36][1450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:17:55 time: 0.7947 data_time: 0.0326 memory: 10136 loss: 0.5098 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0246 loss_cls: 0.1183 acc: 95.3125 loss_bbox: 0.1773 loss_mask: 0.1771 +2024/01/18 01:45:29 - mmengine - INFO - Epoch(train) [36][1500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:17:15 time: 0.8030 data_time: 0.0359 memory: 10139 loss: 0.5360 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0299 loss_cls: 0.1237 acc: 98.4375 loss_bbox: 0.1900 loss_mask: 0.1785 +2024/01/18 01:46:09 - mmengine - INFO - Epoch(train) [36][1550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:16:35 time: 0.7922 data_time: 0.0297 memory: 9736 loss: 0.4461 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0240 loss_cls: 0.1067 acc: 99.4141 loss_bbox: 0.1469 loss_mask: 0.1535 +2024/01/18 01:46:48 - mmengine - INFO - Epoch(train) [36][1600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:15:55 time: 0.7961 data_time: 0.0357 memory: 10377 loss: 0.5323 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0278 loss_cls: 0.1323 acc: 100.0000 loss_bbox: 0.1796 loss_mask: 0.1742 +2024/01/18 01:47:29 - mmengine - INFO - Epoch(train) [36][1650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:15:16 time: 0.8018 data_time: 0.0313 memory: 10067 loss: 0.4707 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0247 loss_cls: 0.1185 acc: 99.0234 loss_bbox: 0.1635 loss_mask: 0.1507 +2024/01/18 01:48:09 - mmengine - INFO - Epoch(train) [36][1700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:14:36 time: 0.8066 data_time: 0.0363 memory: 10205 loss: 0.4894 loss_rpn_cls: 0.0107 loss_rpn_bbox: 0.0227 loss_cls: 0.1156 acc: 92.7734 loss_bbox: 0.1774 loss_mask: 0.1629 +2024/01/18 01:48:49 - mmengine - INFO - Epoch(train) [36][1750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:13:56 time: 0.8090 data_time: 0.0374 memory: 10363 loss: 0.5464 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0311 loss_cls: 0.1298 acc: 97.8516 loss_bbox: 0.2066 loss_mask: 0.1693 +2024/01/18 01:49:30 - mmengine - INFO - Epoch(train) [36][1800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:13:16 time: 0.8037 data_time: 0.0351 memory: 10572 loss: 0.4828 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0230 loss_cls: 0.1038 acc: 98.6328 loss_bbox: 0.1687 loss_mask: 0.1758 +2024/01/18 01:50:09 - mmengine - INFO - Epoch(train) [36][1850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:12:37 time: 0.7814 data_time: 0.0314 memory: 10549 loss: 0.4827 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0207 loss_cls: 0.1209 acc: 99.6094 loss_bbox: 0.1625 loss_mask: 0.1659 +2024/01/18 01:50:49 - mmengine - INFO - Epoch(train) [36][1900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:11:57 time: 0.8045 data_time: 0.0353 memory: 10572 loss: 0.4930 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0179 loss_cls: 0.1140 acc: 98.2422 loss_bbox: 0.1662 loss_mask: 0.1795 +2024/01/18 01:51:29 - mmengine - INFO - Epoch(train) [36][1950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:11:17 time: 0.7991 data_time: 0.0319 memory: 10297 loss: 0.4745 loss_rpn_cls: 0.0160 loss_rpn_bbox: 0.0270 loss_cls: 0.1100 acc: 87.3047 loss_bbox: 0.1580 loss_mask: 0.1635 +2024/01/18 01:52:10 - mmengine - INFO - Epoch(train) [36][2000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:10:37 time: 0.8103 data_time: 0.0366 memory: 10568 loss: 0.6024 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0307 loss_cls: 0.1414 acc: 97.2656 loss_bbox: 0.2115 loss_mask: 0.2045 +2024/01/18 01:52:50 - mmengine - INFO - Epoch(train) [36][2050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:09:58 time: 0.8057 data_time: 0.0281 memory: 10572 loss: 0.4847 loss_rpn_cls: 0.0162 loss_rpn_bbox: 0.0207 loss_cls: 0.1159 acc: 98.8281 loss_bbox: 0.1642 loss_mask: 0.1678 +2024/01/18 01:53:30 - mmengine - INFO - Epoch(train) [36][2100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:09:18 time: 0.8007 data_time: 0.0328 memory: 10251 loss: 0.4302 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0237 loss_cls: 0.0936 acc: 99.6094 loss_bbox: 0.1395 loss_mask: 0.1633 +2024/01/18 01:54:10 - mmengine - INFO - Epoch(train) [36][2150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:08:38 time: 0.8013 data_time: 0.0356 memory: 10063 loss: 0.5627 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0321 loss_cls: 0.1359 acc: 95.8984 loss_bbox: 0.1991 loss_mask: 0.1805 +2024/01/18 01:54:50 - mmengine - INFO - Epoch(train) [36][2200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:07:58 time: 0.7998 data_time: 0.0319 memory: 9459 loss: 0.4850 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0237 loss_cls: 0.1139 acc: 99.6094 loss_bbox: 0.1650 loss_mask: 0.1679 +2024/01/18 01:55:30 - mmengine - INFO - Epoch(train) [36][2250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:07:19 time: 0.7941 data_time: 0.0305 memory: 8712 loss: 0.3924 loss_rpn_cls: 0.0101 loss_rpn_bbox: 0.0203 loss_cls: 0.0882 acc: 89.4531 loss_bbox: 0.1311 loss_mask: 0.1428 +2024/01/18 01:56:10 - mmengine - INFO - Epoch(train) [36][2300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:06:39 time: 0.8042 data_time: 0.0349 memory: 10183 loss: 0.4918 loss_rpn_cls: 0.0104 loss_rpn_bbox: 0.0234 loss_cls: 0.1171 acc: 93.9453 loss_bbox: 0.1769 loss_mask: 0.1640 +2024/01/18 01:56:50 - mmengine - INFO - Epoch(train) [36][2350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:05:59 time: 0.7970 data_time: 0.0374 memory: 9902 loss: 0.5098 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0283 loss_cls: 0.1233 acc: 97.2656 loss_bbox: 0.1783 loss_mask: 0.1685 +2024/01/18 01:57:30 - mmengine - INFO - Epoch(train) [36][2400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:05:19 time: 0.7904 data_time: 0.0283 memory: 10513 loss: 0.4701 loss_rpn_cls: 0.0094 loss_rpn_bbox: 0.0244 loss_cls: 0.1119 acc: 94.9219 loss_bbox: 0.1548 loss_mask: 0.1697 +2024/01/18 01:58:10 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/18 01:58:10 - mmengine - INFO - Epoch(train) [36][2450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:04:40 time: 0.7985 data_time: 0.0332 memory: 9736 loss: 0.5124 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0252 loss_cls: 0.1235 acc: 96.6797 loss_bbox: 0.1767 loss_mask: 0.1765 +2024/01/18 01:58:49 - mmengine - INFO - Epoch(train) [36][2500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:04:00 time: 0.7966 data_time: 0.0338 memory: 10067 loss: 0.4801 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0235 loss_cls: 0.1160 acc: 98.0469 loss_bbox: 0.1626 loss_mask: 0.1665 +2024/01/18 01:59:29 - mmengine - INFO - Epoch(train) [36][2550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:03:20 time: 0.7914 data_time: 0.0400 memory: 10067 loss: 0.5710 loss_rpn_cls: 0.0116 loss_rpn_bbox: 0.0289 loss_cls: 0.1333 acc: 99.6094 loss_bbox: 0.2025 loss_mask: 0.1948 +2024/01/18 02:00:09 - mmengine - INFO - Epoch(train) [36][2600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:02:40 time: 0.8026 data_time: 0.0316 memory: 9946 loss: 0.4377 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0192 loss_cls: 0.0929 acc: 98.0469 loss_bbox: 0.1358 loss_mask: 0.1796 +2024/01/18 02:00:49 - mmengine - INFO - Epoch(train) [36][2650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:02:01 time: 0.7858 data_time: 0.0375 memory: 10572 loss: 0.5387 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0309 loss_cls: 0.1347 acc: 88.4766 loss_bbox: 0.1867 loss_mask: 0.1720 +2024/01/18 02:01:28 - mmengine - INFO - Epoch(train) [36][2700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:01:21 time: 0.7967 data_time: 0.0334 memory: 11099 loss: 0.5161 loss_rpn_cls: 0.0140 loss_rpn_bbox: 0.0230 loss_cls: 0.1335 acc: 99.8047 loss_bbox: 0.1806 loss_mask: 0.1651 +2024/01/18 02:02:08 - mmengine - INFO - Epoch(train) [36][2750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:00:41 time: 0.7923 data_time: 0.0344 memory: 10788 loss: 0.4747 loss_rpn_cls: 0.0117 loss_rpn_bbox: 0.0234 loss_cls: 0.1105 acc: 96.2891 loss_bbox: 0.1579 loss_mask: 0.1711 +2024/01/18 02:02:48 - mmengine - INFO - Epoch(train) [36][2800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 1:00:01 time: 0.7997 data_time: 0.0295 memory: 10493 loss: 0.4237 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0155 loss_cls: 0.0933 acc: 98.6328 loss_bbox: 0.1456 loss_mask: 0.1560 +2024/01/18 02:03:27 - mmengine - INFO - Epoch(train) [36][2850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:59:22 time: 0.7856 data_time: 0.0328 memory: 9737 loss: 0.4553 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0292 loss_cls: 0.1002 acc: 96.2891 loss_bbox: 0.1511 loss_mask: 0.1647 +2024/01/18 02:04:07 - mmengine - INFO - Epoch(train) [36][2900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:58:42 time: 0.7966 data_time: 0.0310 memory: 8872 loss: 0.3829 loss_rpn_cls: 0.0085 loss_rpn_bbox: 0.0178 loss_cls: 0.0898 acc: 99.6094 loss_bbox: 0.1329 loss_mask: 0.1339 +2024/01/18 02:04:48 - mmengine - INFO - Epoch(train) [36][2950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:58:02 time: 0.8035 data_time: 0.0307 memory: 10067 loss: 0.4604 loss_rpn_cls: 0.0071 loss_rpn_bbox: 0.0203 loss_cls: 0.1089 acc: 99.8047 loss_bbox: 0.1646 loss_mask: 0.1595 +2024/01/18 02:05:28 - mmengine - INFO - Epoch(train) [36][3000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:57:22 time: 0.8075 data_time: 0.0387 memory: 10420 loss: 0.5901 loss_rpn_cls: 0.0158 loss_rpn_bbox: 0.0361 loss_cls: 0.1383 acc: 98.2422 loss_bbox: 0.2036 loss_mask: 0.1963 +2024/01/18 02:06:08 - mmengine - INFO - Epoch(train) [36][3050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:56:43 time: 0.7989 data_time: 0.0373 memory: 10572 loss: 0.5323 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0305 loss_cls: 0.1264 acc: 99.0234 loss_bbox: 0.1831 loss_mask: 0.1803 +2024/01/18 02:06:48 - mmengine - INFO - Epoch(train) [36][3100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:56:03 time: 0.7949 data_time: 0.0345 memory: 10568 loss: 0.4529 loss_rpn_cls: 0.0096 loss_rpn_bbox: 0.0219 loss_cls: 0.1008 acc: 97.6562 loss_bbox: 0.1558 loss_mask: 0.1647 +2024/01/18 02:07:27 - mmengine - INFO - Epoch(train) [36][3150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:55:23 time: 0.7908 data_time: 0.0367 memory: 9766 loss: 0.5793 loss_rpn_cls: 0.0146 loss_rpn_bbox: 0.0300 loss_cls: 0.1525 acc: 92.5781 loss_bbox: 0.1921 loss_mask: 0.1900 +2024/01/18 02:08:08 - mmengine - INFO - Epoch(train) [36][3200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:54:43 time: 0.8066 data_time: 0.0391 memory: 11099 loss: 0.5829 loss_rpn_cls: 0.0155 loss_rpn_bbox: 0.0387 loss_cls: 0.1423 acc: 85.1562 loss_bbox: 0.2063 loss_mask: 0.1801 +2024/01/18 02:08:48 - mmengine - INFO - Epoch(train) [36][3250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:54:04 time: 0.8065 data_time: 0.0315 memory: 10572 loss: 0.4778 loss_rpn_cls: 0.0108 loss_rpn_bbox: 0.0226 loss_cls: 0.1078 acc: 97.6562 loss_bbox: 0.1626 loss_mask: 0.1739 +2024/01/18 02:09:28 - mmengine - INFO - Epoch(train) [36][3300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:53:24 time: 0.8045 data_time: 0.0335 memory: 10207 loss: 0.5121 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0268 loss_cls: 0.1190 acc: 95.1172 loss_bbox: 0.1767 loss_mask: 0.1722 +2024/01/18 02:10:09 - mmengine - INFO - Epoch(train) [36][3350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:52:44 time: 0.8087 data_time: 0.0321 memory: 10186 loss: 0.4799 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0250 loss_cls: 0.1153 acc: 99.8047 loss_bbox: 0.1582 loss_mask: 0.1673 +2024/01/18 02:10:49 - mmengine - INFO - Epoch(train) [36][3400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:52:04 time: 0.7934 data_time: 0.0371 memory: 11102 loss: 0.6067 loss_rpn_cls: 0.0174 loss_rpn_bbox: 0.0345 loss_cls: 0.1585 acc: 90.8203 loss_bbox: 0.2181 loss_mask: 0.1781 +2024/01/18 02:11:28 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/18 02:11:28 - mmengine - INFO - Epoch(train) [36][3450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:51:25 time: 0.7969 data_time: 0.0339 memory: 10337 loss: 0.4990 loss_rpn_cls: 0.0102 loss_rpn_bbox: 0.0269 loss_cls: 0.1132 acc: 98.4375 loss_bbox: 0.1729 loss_mask: 0.1758 +2024/01/18 02:12:08 - mmengine - INFO - Epoch(train) [36][3500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:50:45 time: 0.7969 data_time: 0.0401 memory: 10572 loss: 0.5494 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0377 loss_cls: 0.1277 acc: 99.0234 loss_bbox: 0.1843 loss_mask: 0.1830 +2024/01/18 02:12:48 - mmengine - INFO - Epoch(train) [36][3550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:50:05 time: 0.7882 data_time: 0.0302 memory: 9459 loss: 0.5279 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0236 loss_cls: 0.1314 acc: 97.6562 loss_bbox: 0.1863 loss_mask: 0.1727 +2024/01/18 02:13:28 - mmengine - INFO - Epoch(train) [36][3600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:49:25 time: 0.8105 data_time: 0.0330 memory: 10013 loss: 0.4975 loss_rpn_cls: 0.0187 loss_rpn_bbox: 0.0225 loss_cls: 0.1185 acc: 98.4375 loss_bbox: 0.1617 loss_mask: 0.1761 +2024/01/18 02:14:09 - mmengine - INFO - Epoch(train) [36][3650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:48:46 time: 0.8086 data_time: 0.0320 memory: 10568 loss: 0.4874 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0222 loss_cls: 0.1085 acc: 99.4141 loss_bbox: 0.1594 loss_mask: 0.1831 +2024/01/18 02:14:49 - mmengine - INFO - Epoch(train) [36][3700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:48:06 time: 0.7939 data_time: 0.0348 memory: 10583 loss: 0.5433 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0260 loss_cls: 0.1354 acc: 95.3125 loss_bbox: 0.1937 loss_mask: 0.1736 +2024/01/18 02:15:28 - mmengine - INFO - Epoch(train) [36][3750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:47:26 time: 0.7882 data_time: 0.0267 memory: 10067 loss: 0.4757 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0194 loss_cls: 0.1062 acc: 94.5312 loss_bbox: 0.1703 loss_mask: 0.1692 +2024/01/18 02:16:08 - mmengine - INFO - Epoch(train) [36][3800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:46:46 time: 0.7939 data_time: 0.0309 memory: 10232 loss: 0.4994 loss_rpn_cls: 0.0141 loss_rpn_bbox: 0.0253 loss_cls: 0.1172 acc: 96.6797 loss_bbox: 0.1715 loss_mask: 0.1713 +2024/01/18 02:16:48 - mmengine - INFO - Epoch(train) [36][3850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:46:07 time: 0.8013 data_time: 0.0343 memory: 10242 loss: 0.5832 loss_rpn_cls: 0.0168 loss_rpn_bbox: 0.0257 loss_cls: 0.1439 acc: 100.0000 loss_bbox: 0.2098 loss_mask: 0.1869 +2024/01/18 02:17:28 - mmengine - INFO - Epoch(train) [36][3900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:45:27 time: 0.7977 data_time: 0.0350 memory: 10875 loss: 0.5080 loss_rpn_cls: 0.0123 loss_rpn_bbox: 0.0223 loss_cls: 0.1338 acc: 100.0000 loss_bbox: 0.1680 loss_mask: 0.1717 +2024/01/18 02:18:07 - mmengine - INFO - Epoch(train) [36][3950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:44:47 time: 0.7906 data_time: 0.0330 memory: 10572 loss: 0.4903 loss_rpn_cls: 0.0128 loss_rpn_bbox: 0.0250 loss_cls: 0.1185 acc: 95.5078 loss_bbox: 0.1645 loss_mask: 0.1695 +2024/01/18 02:18:48 - mmengine - INFO - Epoch(train) [36][4000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:44:07 time: 0.8121 data_time: 0.0325 memory: 9598 loss: 0.4927 loss_rpn_cls: 0.0099 loss_rpn_bbox: 0.0210 loss_cls: 0.1164 acc: 83.9844 loss_bbox: 0.1688 loss_mask: 0.1765 +2024/01/18 02:19:28 - mmengine - INFO - Epoch(train) [36][4050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:43:28 time: 0.7943 data_time: 0.0335 memory: 10572 loss: 0.5346 loss_rpn_cls: 0.0103 loss_rpn_bbox: 0.0284 loss_cls: 0.1224 acc: 94.9219 loss_bbox: 0.1861 loss_mask: 0.1874 +2024/01/18 02:20:08 - mmengine - INFO - Epoch(train) [36][4100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:42:48 time: 0.8094 data_time: 0.0345 memory: 10572 loss: 0.4840 loss_rpn_cls: 0.0077 loss_rpn_bbox: 0.0229 loss_cls: 0.1123 acc: 98.2422 loss_bbox: 0.1693 loss_mask: 0.1718 +2024/01/18 02:20:48 - mmengine - INFO - Epoch(train) [36][4150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:42:08 time: 0.7910 data_time: 0.0321 memory: 9599 loss: 0.5181 loss_rpn_cls: 0.0153 loss_rpn_bbox: 0.0278 loss_cls: 0.1179 acc: 92.7734 loss_bbox: 0.1734 loss_mask: 0.1837 +2024/01/18 02:21:27 - mmengine - INFO - Epoch(train) [36][4200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:41:28 time: 0.7890 data_time: 0.0351 memory: 11023 loss: 0.4852 loss_rpn_cls: 0.0081 loss_rpn_bbox: 0.0269 loss_cls: 0.1081 acc: 97.0703 loss_bbox: 0.1727 loss_mask: 0.1693 +2024/01/18 02:22:07 - mmengine - INFO - Epoch(train) [36][4250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:40:49 time: 0.7985 data_time: 0.0360 memory: 10361 loss: 0.5251 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0300 loss_cls: 0.1248 acc: 99.6094 loss_bbox: 0.1873 loss_mask: 0.1679 +2024/01/18 02:22:47 - mmengine - INFO - Epoch(train) [36][4300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:40:09 time: 0.7840 data_time: 0.0356 memory: 10572 loss: 0.4724 loss_rpn_cls: 0.0127 loss_rpn_bbox: 0.0210 loss_cls: 0.1153 acc: 99.4141 loss_bbox: 0.1576 loss_mask: 0.1657 +2024/01/18 02:23:26 - mmengine - INFO - Epoch(train) [36][4350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:39:29 time: 0.7937 data_time: 0.0330 memory: 9431 loss: 0.5218 loss_rpn_cls: 0.0183 loss_rpn_bbox: 0.0277 loss_cls: 0.1309 acc: 99.6094 loss_bbox: 0.1687 loss_mask: 0.1762 +2024/01/18 02:24:06 - mmengine - INFO - Epoch(train) [36][4400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:38:49 time: 0.7921 data_time: 0.0315 memory: 10572 loss: 0.4618 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0227 loss_cls: 0.1110 acc: 98.6328 loss_bbox: 0.1564 loss_mask: 0.1574 +2024/01/18 02:24:45 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/18 02:24:45 - mmengine - INFO - Epoch(train) [36][4450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:38:09 time: 0.7812 data_time: 0.0302 memory: 10067 loss: 0.4987 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0226 loss_cls: 0.1277 acc: 100.0000 loss_bbox: 0.1673 loss_mask: 0.1691 +2024/01/18 02:25:26 - mmengine - INFO - Epoch(train) [36][4500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:37:30 time: 0.8122 data_time: 0.0384 memory: 11517 loss: 0.6305 loss_rpn_cls: 0.0265 loss_rpn_bbox: 0.0320 loss_cls: 0.1682 acc: 79.6875 loss_bbox: 0.2131 loss_mask: 0.1908 +2024/01/18 02:26:06 - mmengine - INFO - Epoch(train) [36][4550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:36:50 time: 0.8008 data_time: 0.0335 memory: 10084 loss: 0.4853 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0211 loss_cls: 0.1095 acc: 97.4609 loss_bbox: 0.1655 loss_mask: 0.1778 +2024/01/18 02:26:47 - mmengine - INFO - Epoch(train) [36][4600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:36:10 time: 0.8137 data_time: 0.0380 memory: 11102 loss: 0.5003 loss_rpn_cls: 0.0137 loss_rpn_bbox: 0.0308 loss_cls: 0.1092 acc: 93.3594 loss_bbox: 0.1755 loss_mask: 0.1711 +2024/01/18 02:27:27 - mmengine - INFO - Epoch(train) [36][4650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:35:30 time: 0.7983 data_time: 0.0322 memory: 9915 loss: 0.4949 loss_rpn_cls: 0.0109 loss_rpn_bbox: 0.0236 loss_cls: 0.1164 acc: 97.8516 loss_bbox: 0.1673 loss_mask: 0.1768 +2024/01/18 02:28:07 - mmengine - INFO - Epoch(train) [36][4700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:34:51 time: 0.8064 data_time: 0.0349 memory: 9601 loss: 0.4949 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0283 loss_cls: 0.1257 acc: 84.3750 loss_bbox: 0.1643 loss_mask: 0.1623 +2024/01/18 02:28:47 - mmengine - INFO - Epoch(train) [36][4750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:34:11 time: 0.8086 data_time: 0.0307 memory: 10572 loss: 0.5425 loss_rpn_cls: 0.0136 loss_rpn_bbox: 0.0351 loss_cls: 0.1261 acc: 96.2891 loss_bbox: 0.1902 loss_mask: 0.1776 +2024/01/18 02:29:28 - mmengine - INFO - Epoch(train) [36][4800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:33:31 time: 0.8051 data_time: 0.0398 memory: 10485 loss: 0.5126 loss_rpn_cls: 0.0124 loss_rpn_bbox: 0.0291 loss_cls: 0.1295 acc: 92.9688 loss_bbox: 0.1751 loss_mask: 0.1664 +2024/01/18 02:30:07 - mmengine - INFO - Epoch(train) [36][4850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:32:51 time: 0.7949 data_time: 0.0358 memory: 10572 loss: 0.4643 loss_rpn_cls: 0.0134 loss_rpn_bbox: 0.0250 loss_cls: 0.1151 acc: 88.4766 loss_bbox: 0.1549 loss_mask: 0.1559 +2024/01/18 02:30:48 - mmengine - INFO - Epoch(train) [36][4900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:32:12 time: 0.8143 data_time: 0.0390 memory: 10875 loss: 0.5118 loss_rpn_cls: 0.0173 loss_rpn_bbox: 0.0259 loss_cls: 0.1252 acc: 94.9219 loss_bbox: 0.1673 loss_mask: 0.1761 +2024/01/18 02:31:28 - mmengine - INFO - Epoch(train) [36][4950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:31:32 time: 0.7929 data_time: 0.0329 memory: 10658 loss: 0.4573 loss_rpn_cls: 0.0151 loss_rpn_bbox: 0.0246 loss_cls: 0.1036 acc: 89.0625 loss_bbox: 0.1567 loss_mask: 0.1574 +2024/01/18 02:32:08 - mmengine - INFO - Epoch(train) [36][5000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:30:52 time: 0.7992 data_time: 0.0330 memory: 10665 loss: 0.4721 loss_rpn_cls: 0.0157 loss_rpn_bbox: 0.0233 loss_cls: 0.1064 acc: 98.4375 loss_bbox: 0.1612 loss_mask: 0.1656 +2024/01/18 02:32:49 - mmengine - INFO - Epoch(train) [36][5050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:30:12 time: 0.8223 data_time: 0.0378 memory: 10278 loss: 0.5386 loss_rpn_cls: 0.0167 loss_rpn_bbox: 0.0249 loss_cls: 0.1315 acc: 88.8672 loss_bbox: 0.1864 loss_mask: 0.1792 +2024/01/18 02:33:29 - mmengine - INFO - Epoch(train) [36][5100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:29:33 time: 0.7997 data_time: 0.0363 memory: 10292 loss: 0.5268 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0301 loss_cls: 0.1262 acc: 98.2422 loss_bbox: 0.1834 loss_mask: 0.1745 +2024/01/18 02:34:09 - mmengine - INFO - Epoch(train) [36][5150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:28:53 time: 0.7993 data_time: 0.0356 memory: 11211 loss: 0.4906 loss_rpn_cls: 0.0149 loss_rpn_bbox: 0.0226 loss_cls: 0.1225 acc: 97.8516 loss_bbox: 0.1632 loss_mask: 0.1675 +2024/01/18 02:34:49 - mmengine - INFO - Epoch(train) [36][5200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:28:13 time: 0.7967 data_time: 0.0312 memory: 10580 loss: 0.5229 loss_rpn_cls: 0.0142 loss_rpn_bbox: 0.0262 loss_cls: 0.1379 acc: 98.4375 loss_bbox: 0.1674 loss_mask: 0.1771 +2024/01/18 02:35:28 - mmengine - INFO - Epoch(train) [36][5250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:27:33 time: 0.7865 data_time: 0.0401 memory: 10184 loss: 0.4933 loss_rpn_cls: 0.0144 loss_rpn_bbox: 0.0268 loss_cls: 0.1177 acc: 96.4844 loss_bbox: 0.1723 loss_mask: 0.1622 +2024/01/18 02:36:09 - mmengine - INFO - Epoch(train) [36][5300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:26:54 time: 0.8055 data_time: 0.0327 memory: 10572 loss: 0.4900 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0227 loss_cls: 0.1131 acc: 98.6328 loss_bbox: 0.1687 loss_mask: 0.1715 +2024/01/18 02:36:49 - mmengine - INFO - Epoch(train) [36][5350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:26:14 time: 0.8019 data_time: 0.0373 memory: 10067 loss: 0.5046 loss_rpn_cls: 0.0165 loss_rpn_bbox: 0.0274 loss_cls: 0.1250 acc: 96.6797 loss_bbox: 0.1613 loss_mask: 0.1742 +2024/01/18 02:37:29 - mmengine - INFO - Epoch(train) [36][5400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:25:34 time: 0.7930 data_time: 0.0346 memory: 10572 loss: 0.5574 loss_rpn_cls: 0.0172 loss_rpn_bbox: 0.0254 loss_cls: 0.1406 acc: 98.0469 loss_bbox: 0.1819 loss_mask: 0.1923 +2024/01/18 02:38:09 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/18 02:38:09 - mmengine - INFO - Epoch(train) [36][5450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:24:54 time: 0.8052 data_time: 0.0322 memory: 9535 loss: 0.4872 loss_rpn_cls: 0.0138 loss_rpn_bbox: 0.0241 loss_cls: 0.1133 acc: 91.4062 loss_bbox: 0.1612 loss_mask: 0.1748 +2024/01/18 02:38:49 - mmengine - INFO - Epoch(train) [36][5500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:24:15 time: 0.8063 data_time: 0.0318 memory: 10572 loss: 0.4711 loss_rpn_cls: 0.0133 loss_rpn_bbox: 0.0285 loss_cls: 0.1113 acc: 99.8047 loss_bbox: 0.1578 loss_mask: 0.1601 +2024/01/18 02:39:30 - mmengine - INFO - Epoch(train) [36][5550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:23:35 time: 0.8089 data_time: 0.0366 memory: 9800 loss: 0.4765 loss_rpn_cls: 0.0240 loss_rpn_bbox: 0.0251 loss_cls: 0.1064 acc: 99.4141 loss_bbox: 0.1576 loss_mask: 0.1634 +2024/01/18 02:40:10 - mmengine - INFO - Epoch(train) [36][5600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:22:55 time: 0.8091 data_time: 0.0402 memory: 10986 loss: 0.5714 loss_rpn_cls: 0.0190 loss_rpn_bbox: 0.0335 loss_cls: 0.1361 acc: 97.0703 loss_bbox: 0.1881 loss_mask: 0.1948 +2024/01/18 02:40:50 - mmengine - INFO - Epoch(train) [36][5650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:22:15 time: 0.7908 data_time: 0.0287 memory: 10067 loss: 0.4644 loss_rpn_cls: 0.0082 loss_rpn_bbox: 0.0231 loss_cls: 0.1065 acc: 87.8906 loss_bbox: 0.1565 loss_mask: 0.1702 +2024/01/18 02:41:30 - mmengine - INFO - Epoch(train) [36][5700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:21:36 time: 0.8054 data_time: 0.0344 memory: 10225 loss: 0.4622 loss_rpn_cls: 0.0135 loss_rpn_bbox: 0.0179 loss_cls: 0.1124 acc: 95.1172 loss_bbox: 0.1529 loss_mask: 0.1655 +2024/01/18 02:42:10 - mmengine - INFO - Epoch(train) [36][5750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:20:56 time: 0.8017 data_time: 0.0347 memory: 10067 loss: 0.4985 loss_rpn_cls: 0.0100 loss_rpn_bbox: 0.0206 loss_cls: 0.1318 acc: 98.0469 loss_bbox: 0.1682 loss_mask: 0.1679 +2024/01/18 02:42:50 - mmengine - INFO - Epoch(train) [36][5800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:20:16 time: 0.7932 data_time: 0.0310 memory: 10207 loss: 0.4516 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0196 loss_cls: 0.1050 acc: 100.0000 loss_bbox: 0.1503 loss_mask: 0.1662 +2024/01/18 02:43:30 - mmengine - INFO - Epoch(train) [36][5850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:19:36 time: 0.8055 data_time: 0.0351 memory: 10788 loss: 0.4820 loss_rpn_cls: 0.0105 loss_rpn_bbox: 0.0255 loss_cls: 0.1158 acc: 97.0703 loss_bbox: 0.1679 loss_mask: 0.1623 +2024/01/18 02:44:10 - mmengine - INFO - Epoch(train) [36][5900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:18:57 time: 0.7983 data_time: 0.0353 memory: 10572 loss: 0.5111 loss_rpn_cls: 0.0121 loss_rpn_bbox: 0.0269 loss_cls: 0.1157 acc: 97.8516 loss_bbox: 0.1831 loss_mask: 0.1733 +2024/01/18 02:44:50 - mmengine - INFO - Epoch(train) [36][5950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:18:17 time: 0.8025 data_time: 0.0279 memory: 10284 loss: 0.4439 loss_rpn_cls: 0.0145 loss_rpn_bbox: 0.0217 loss_cls: 0.0977 acc: 99.2188 loss_bbox: 0.1425 loss_mask: 0.1675 +2024/01/18 02:45:30 - mmengine - INFO - Epoch(train) [36][6000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:17:37 time: 0.7993 data_time: 0.0319 memory: 11517 loss: 0.4662 loss_rpn_cls: 0.0191 loss_rpn_bbox: 0.0186 loss_cls: 0.1035 acc: 88.4766 loss_bbox: 0.1563 loss_mask: 0.1686 +2024/01/18 02:46:10 - mmengine - INFO - Epoch(train) [36][6050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:16:57 time: 0.7881 data_time: 0.0317 memory: 10568 loss: 0.5346 loss_rpn_cls: 0.0296 loss_rpn_bbox: 0.0293 loss_cls: 0.1163 acc: 95.8984 loss_bbox: 0.1753 loss_mask: 0.1841 +2024/01/18 02:46:49 - mmengine - INFO - Epoch(train) [36][6100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:16:18 time: 0.7870 data_time: 0.0336 memory: 11116 loss: 0.5058 loss_rpn_cls: 0.0152 loss_rpn_bbox: 0.0288 loss_cls: 0.1184 acc: 95.3125 loss_bbox: 0.1753 loss_mask: 0.1681 +2024/01/18 02:47:28 - mmengine - INFO - Epoch(train) [36][6150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:15:38 time: 0.7686 data_time: 0.0348 memory: 10067 loss: 0.5122 loss_rpn_cls: 0.0184 loss_rpn_bbox: 0.0292 loss_cls: 0.1222 acc: 90.2344 loss_bbox: 0.1706 loss_mask: 0.1719 +2024/01/18 02:48:07 - mmengine - INFO - Epoch(train) [36][6200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:14:58 time: 0.7958 data_time: 0.0413 memory: 10068 loss: 0.5136 loss_rpn_cls: 0.0186 loss_rpn_bbox: 0.0288 loss_cls: 0.1403 acc: 99.0234 loss_bbox: 0.1701 loss_mask: 0.1557 +2024/01/18 02:48:48 - mmengine - INFO - Epoch(train) [36][6250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:14:18 time: 0.8079 data_time: 0.0297 memory: 9716 loss: 0.4883 loss_rpn_cls: 0.0092 loss_rpn_bbox: 0.0225 loss_cls: 0.1078 acc: 98.2422 loss_bbox: 0.1584 loss_mask: 0.1904 +2024/01/18 02:49:28 - mmengine - INFO - Epoch(train) [36][6300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:13:39 time: 0.7966 data_time: 0.0322 memory: 10067 loss: 0.5102 loss_rpn_cls: 0.0106 loss_rpn_bbox: 0.0222 loss_cls: 0.1100 acc: 86.3281 loss_bbox: 0.1798 loss_mask: 0.1876 +2024/01/18 02:50:08 - mmengine - INFO - Epoch(train) [36][6350/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:12:59 time: 0.8016 data_time: 0.0301 memory: 9527 loss: 0.4597 loss_rpn_cls: 0.0111 loss_rpn_bbox: 0.0189 loss_cls: 0.1057 acc: 96.2891 loss_bbox: 0.1547 loss_mask: 0.1693 +2024/01/18 02:50:48 - mmengine - INFO - Epoch(train) [36][6400/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:12:19 time: 0.7977 data_time: 0.0351 memory: 9736 loss: 0.5289 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0236 loss_cls: 0.1300 acc: 92.5781 loss_bbox: 0.1783 loss_mask: 0.1828 +2024/01/18 02:51:28 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/18 02:51:28 - mmengine - INFO - Epoch(train) [36][6450/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:11:39 time: 0.8008 data_time: 0.0298 memory: 10522 loss: 0.4660 loss_rpn_cls: 0.0112 loss_rpn_bbox: 0.0230 loss_cls: 0.1110 acc: 99.8047 loss_bbox: 0.1661 loss_mask: 0.1548 +2024/01/18 02:52:09 - mmengine - INFO - Epoch(train) [36][6500/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:10:59 time: 0.8105 data_time: 0.0314 memory: 11099 loss: 0.4226 loss_rpn_cls: 0.0115 loss_rpn_bbox: 0.0150 loss_cls: 0.0908 acc: 97.6562 loss_bbox: 0.1453 loss_mask: 0.1601 +2024/01/18 02:52:48 - mmengine - INFO - Epoch(train) [36][6550/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:10:20 time: 0.7925 data_time: 0.0341 memory: 10582 loss: 0.5047 loss_rpn_cls: 0.0114 loss_rpn_bbox: 0.0263 loss_cls: 0.1189 acc: 98.2422 loss_bbox: 0.1711 loss_mask: 0.1770 +2024/01/18 02:53:28 - mmengine - INFO - Epoch(train) [36][6600/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:09:40 time: 0.8002 data_time: 0.0349 memory: 10819 loss: 0.5285 loss_rpn_cls: 0.0154 loss_rpn_bbox: 0.0293 loss_cls: 0.1302 acc: 90.0391 loss_bbox: 0.1736 loss_mask: 0.1800 +2024/01/18 02:54:09 - mmengine - INFO - Epoch(train) [36][6650/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:09:00 time: 0.8098 data_time: 0.0292 memory: 10568 loss: 0.4015 loss_rpn_cls: 0.0066 loss_rpn_bbox: 0.0158 loss_cls: 0.0884 acc: 91.4062 loss_bbox: 0.1335 loss_mask: 0.1572 +2024/01/18 02:54:50 - mmengine - INFO - Epoch(train) [36][6700/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:08:20 time: 0.8205 data_time: 0.0356 memory: 10572 loss: 0.4988 loss_rpn_cls: 0.0090 loss_rpn_bbox: 0.0218 loss_cls: 0.1136 acc: 87.3047 loss_bbox: 0.1741 loss_mask: 0.1802 +2024/01/18 02:55:31 - mmengine - INFO - Epoch(train) [36][6750/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:07:41 time: 0.8191 data_time: 0.0339 memory: 10572 loss: 0.4908 loss_rpn_cls: 0.0132 loss_rpn_bbox: 0.0220 loss_cls: 0.1114 acc: 89.6484 loss_bbox: 0.1726 loss_mask: 0.1716 +2024/01/18 02:56:11 - mmengine - INFO - Epoch(train) [36][6800/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:07:01 time: 0.8017 data_time: 0.0312 memory: 10067 loss: 0.4958 loss_rpn_cls: 0.0119 loss_rpn_bbox: 0.0278 loss_cls: 0.1091 acc: 97.4609 loss_bbox: 0.1653 loss_mask: 0.1817 +2024/01/18 02:56:50 - mmengine - INFO - Epoch(train) [36][6850/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:06:21 time: 0.7772 data_time: 0.0321 memory: 11102 loss: 0.5296 loss_rpn_cls: 0.0125 loss_rpn_bbox: 0.0220 loss_cls: 0.1324 acc: 92.9688 loss_bbox: 0.1798 loss_mask: 0.1829 +2024/01/18 02:57:30 - mmengine - INFO - Epoch(train) [36][6900/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:05:41 time: 0.8050 data_time: 0.0303 memory: 9601 loss: 0.5162 loss_rpn_cls: 0.0198 loss_rpn_bbox: 0.0228 loss_cls: 0.1196 acc: 98.4375 loss_bbox: 0.1791 loss_mask: 0.1749 +2024/01/18 02:58:10 - mmengine - INFO - Epoch(train) [36][6950/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:05:02 time: 0.8018 data_time: 0.0368 memory: 10572 loss: 0.5397 loss_rpn_cls: 0.0195 loss_rpn_bbox: 0.0280 loss_cls: 0.1255 acc: 90.8203 loss_bbox: 0.1705 loss_mask: 0.1963 +2024/01/18 02:58:50 - mmengine - INFO - Epoch(train) [36][7000/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:04:22 time: 0.7890 data_time: 0.0344 memory: 10512 loss: 0.4737 loss_rpn_cls: 0.0159 loss_rpn_bbox: 0.0233 loss_cls: 0.1061 acc: 99.0234 loss_bbox: 0.1601 loss_mask: 0.1683 +2024/01/18 02:59:29 - mmengine - INFO - Epoch(train) [36][7050/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:03:42 time: 0.7928 data_time: 0.0422 memory: 10288 loss: 0.4930 loss_rpn_cls: 0.0143 loss_rpn_bbox: 0.0262 loss_cls: 0.1222 acc: 90.8203 loss_bbox: 0.1686 loss_mask: 0.1617 +2024/01/18 03:00:09 - mmengine - INFO - Epoch(train) [36][7100/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:03:02 time: 0.7963 data_time: 0.0328 memory: 10067 loss: 0.4657 loss_rpn_cls: 0.0182 loss_rpn_bbox: 0.0209 loss_cls: 0.1135 acc: 86.3281 loss_bbox: 0.1543 loss_mask: 0.1589 +2024/01/18 03:00:50 - mmengine - INFO - Epoch(train) [36][7150/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:02:23 time: 0.8167 data_time: 0.0346 memory: 10568 loss: 0.4496 loss_rpn_cls: 0.0098 loss_rpn_bbox: 0.0211 loss_cls: 0.0985 acc: 98.2422 loss_bbox: 0.1499 loss_mask: 0.1703 +2024/01/18 03:01:30 - mmengine - INFO - Epoch(train) [36][7200/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:01:43 time: 0.8033 data_time: 0.0321 memory: 10153 loss: 0.4521 loss_rpn_cls: 0.0139 loss_rpn_bbox: 0.0181 loss_cls: 0.1022 acc: 99.0234 loss_bbox: 0.1469 loss_mask: 0.1711 +2024/01/18 03:02:11 - mmengine - INFO - Epoch(train) [36][7250/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:01:03 time: 0.8151 data_time: 0.0376 memory: 10337 loss: 0.4842 loss_rpn_cls: 0.0129 loss_rpn_bbox: 0.0274 loss_cls: 0.1153 acc: 98.4375 loss_bbox: 0.1627 loss_mask: 0.1659 +2024/01/18 03:02:51 - mmengine - INFO - Epoch(train) [36][7300/7330] base_lr: 1.0000e-06 lr: 1.0000e-06 eta: 0:00:23 time: 0.7880 data_time: 0.0359 memory: 10568 loss: 0.5460 loss_rpn_cls: 0.0150 loss_rpn_bbox: 0.0311 loss_cls: 0.1326 acc: 88.0859 loss_bbox: 0.1970 loss_mask: 0.1703 +2024/01/18 03:03:14 - mmengine - INFO - Exp name: mask_rcnn_swin_fpn_coco_small_ms_3x_20240115_153006 +2024/01/18 03:03:14 - mmengine - INFO - Saving checkpoint at 36 epochs +2024/01/18 03:03:30 - mmengine - INFO - Epoch(val) [36][ 50/313] eta: 0:00:59 time: 0.2276 data_time: 0.0705 memory: 9802 +2024/01/18 03:03:39 - mmengine - INFO - Epoch(val) [36][100/313] eta: 0:00:45 time: 0.1961 data_time: 0.0383 memory: 2388 +2024/01/18 03:03:49 - mmengine - INFO - Epoch(val) [36][150/313] eta: 0:00:33 time: 0.1846 data_time: 0.0298 memory: 2431 +2024/01/18 03:03:59 - mmengine - INFO - Epoch(val) [36][200/313] eta: 0:00:22 time: 0.2007 data_time: 0.0428 memory: 2403 +2024/01/18 03:04:08 - mmengine - INFO - Epoch(val) [36][250/313] eta: 0:00:12 time: 0.1857 data_time: 0.0333 memory: 2431 +2024/01/18 03:04:18 - mmengine - INFO - Epoch(val) [36][300/313] eta: 0:00:02 time: 0.2043 data_time: 0.0476 memory: 2403 +2024/01/18 03:04:25 - mmengine - INFO - Evaluating bbox... +2024/01/18 03:04:45 - mmengine - INFO - bbox_mAP_copypaste: 0.496 0.700 0.541 0.327 0.531 0.660 +2024/01/18 03:04:45 - mmengine - INFO - Evaluating segm... +2024/01/18 03:05:07 - mmengine - INFO - segm_mAP_copypaste: 0.439 0.673 0.474 0.245 0.470 0.629 +2024/01/18 03:05:07 - mmengine - INFO - Epoch(val) [36][313/313] coco/bbox_mAP: 0.4960 coco/bbox_mAP_50: 0.7000 coco/bbox_mAP_75: 0.5410 coco/bbox_mAP_s: 0.3270 coco/bbox_mAP_m: 0.5310 coco/bbox_mAP_l: 0.6600 coco/segm_mAP: 0.4390 coco/segm_mAP_50: 0.6730 coco/segm_mAP_75: 0.4740 coco/segm_mAP_s: 0.2450 coco/segm_mAP_m: 0.4700 coco/segm_mAP_l: 0.6290 data_time: 0.0419 time: 0.1978