2024/08/15 07:15:23 - mmengine - INFO - ------------------------------------------------------------ System environment: sys.platform: linux Python: 3.10.14 (main, May 6 2024, 19:42:50) [GCC 11.2.0] CUDA available: True numpy_random_seed: 491582230 GPU 0,1,2,3,4,5,6,7: NVIDIA GeForce RTX 4090 CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.8, V11.8.89 GCC: gcc (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0 PyTorch: 2.1.0+cu118 PyTorch compiling details: PyTorch built with: - GCC 9.3 - C++ Version: 201703 - Intel(R) oneAPI Math Kernel Library Version 2022.2-Product Build 20220804 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v3.1.1 (Git Hash 64f6bcbcbab628e96f33a62c3e975f8535a7bde4) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX2 - CUDA Runtime 11.8 - NVCC architecture flags: -gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_90,code=sm_90 - CuDNN 8.7 - Magma 2.6.1 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.8, CUDNN_VERSION=8.7.0, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -D_GLIBCXX_USE_CXX11_ABI=0 -fabi-version=11 -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -DNDEBUG -DUSE_KINETO -DLIBKINETO_NOROCTRACER -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -O2 -fPIC -Wall -Wextra -Werror=return-type -Werror=non-virtual-dtor -Werror=bool-operation -Wnarrowing -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-strict-overflow -Wno-strict-aliasing -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=old-style-cast -Wno-invalid-partial-specialization -Wno-unused-private-field -Wno-aligned-allocation-unavailable -Wno-missing-braces -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_DISABLE_GPU_ASSERTS=ON, TORCH_VERSION=2.1.0, 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=1, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, TorchVision: 0.16.0+cu118 OpenCV: 4.10.0 MMEngine: 0.8.3 Runtime environment: cudnn_benchmark: True mp_cfg: {'mp_start_method': 'fork', 'opencv_num_threads': 0} dist_cfg: {'backend': 'nccl'} seed: 491582230 Distributed launcher: pytorch Distributed training: True GPU number: 8 ------------------------------------------------------------ 2024/08/15 07:15:24 - mmengine - INFO - Config: auto_scale_lr = dict(base_batch_size=24) backend_args = None base_img_size = 1120 custom_hooks = [ dict( ema_type='ExpMomentumEMA', momentum=0.0002, priority=49, type='EMAHook', update_buffers=True), dict( switch_epoch=100000, switch_pipeline=[ dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction', 'task_name', 'head_cfg', 'git_cfg', ), type='PackDetInputs'), ], type='PipelineSwitchHook'), ] default_hooks = dict( checkpoint=dict( by_epoch=False, interval=1000, max_keep_ckpts=1, type='CheckpointHook'), logger=dict(interval=50, log_metric_by_epoch=False, type='LoggerHook'), param_scheduler=dict(type='ParamSchedulerHook'), sampler_seed=dict(type='DistSamplerSeedHook'), timer=dict(type='IterTimerHook'), visualization=dict(draw=True, show=False, type='DetVisualizationHook')) default_scope = 'mmdet' env_cfg = dict( cudnn_benchmark=True, dist_cfg=dict(backend='nccl'), mp_cfg=dict(mp_start_method='fork', opencv_num_threads=0)) insseg_cfgs = dict( global_only_image=True, grid_interpolate=True, grid_resolution_perwin=[ 5, 5, ], max_length=30, mode='instance_segmentation', num_vocal=2322, samples_grids_eachwin=10) insseg_test_pipeline = [ dict(backend_args=None, to_float32=True, type='LoadImageFromFile'), dict(keep_ratio=False, scale=( 1120, 1120, ), type='Resize'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True), dict( meta_dict=dict( git_cfg=dict( global_only_image=True, grid_interpolate=True, grid_resolution_perwin=[ 5, 5, ], max_length=30, mode='instance_segmentation', num_vocal=2322, samples_grids_eachwin=10), head_cfg=dict( max_length=30, num_bins=2240, num_classes=80, num_vocal=2322), task_name='instance_segmentation'), type='AddMetaInfo'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'task_name', 'head_cfg', 'git_cfg', ), type='PackDetInputs'), ] insseg_train_pipeline = [ dict(max_num_pasted=100, type='CopyPaste'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction', 'task_name', 'head_cfg', 'git_cfg', ), type='PackDetInputs'), ] insseg_train_pipeline_stage2 = [ dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction', 'task_name', 'head_cfg', 'git_cfg', ), type='PackDetInputs'), ] launcher = 'pytorch' load_from = './iter_25000.pth' load_pipeline = [ dict(backend_args=None, to_float32=True, type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True), dict( meta_dict=dict( git_cfg=dict( global_only_image=True, grid_interpolate=True, grid_resolution_perwin=[ 5, 5, ], max_length=30, mode='instance_segmentation', num_vocal=2322, samples_grids_eachwin=10), head_cfg=dict( max_length=30, num_bins=2240, num_classes=80, num_vocal=2322), task_name='instance_segmentation'), type='AddMetaInfo'), dict(prob=0.5, type='RandomFlip'), dict( transforms=[ [ dict( keep_ratio=False, scales=[ ( 1120, 1120, ), ], type='RandomChoiceResize'), ], [ dict( keep_ratio=True, scales=[ ( 400, 4200, ), ( 500, 4200, ), ( 600, 4200, ), ], type='RandomChoiceResize'), dict( allow_negative_crop=True, crop_size=( 384, 600, ), crop_type='absolute_range', type='RandomCrop'), dict( keep_ratio=False, scales=[ ( 1120, 1120, ), ], type='RandomChoiceResize'), ], ], type='RandomChoice'), dict( by_mask=True, min_gt_bbox_wh=( 1e-05, 1e-05, ), type='FilterAnnotations'), ] log_level = 'INFO' log_processor = dict(by_epoch=False, type='LogProcessor', window_size=4000) max_iters = 120000 model = dict( backbone=dict( arch='base', drop_path_rate=0.1, img_size=1120, init_cfg=dict( checkpoint= 'https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth', prefix='backbone.', type='Pretrained'), new_more_layers=[ 'win', 'win', 'win', 'win', 'win', 'win', ], out_channels=0, out_type='featmap', patch_size=16, text_cfg=dict( hidden_size=768, pretrain_path='./blip_embed_extra.pt', type='bert-base', vocab_size=30525), type='ViTGiTPromptBeta', use_abs_pos=True, use_checkpoints=True, use_rel_pos=True, window_size=14), data_preprocessor=dict( bgr_to_rgb=True, mean=[ 123.675, 116.28, 103.53, ], pad_seg=True, pad_size_divisor=224, seg_pad_value=255, std=[ 58.395, 57.12, 57.375, ], type='GeneralDataPreprocessor'), head_list=dict( instance_segmentation_head=dict( cls_loss_weight=1.0, mask_loss_weight=1.0, nms=dict( filter_thr=0.05, kernel='gaussian', score_thr=0.1, sigma=2.0), repeat_times=3, test_cfg=dict(max_per_img=100), train_cfg=dict( assigner=dict( match_costs=[ dict( box_format='xywh', type='PointsL1Cost', weight=5.0), dict(type='MaskCost', weight=100.0), ], type='HungarianAssigner')), type='GiTInsSegHeadPromptBetaSample')), mean_layes=[ 12, 13, 14, 15, 16, 17, ], mean_output=True, support_tasks=[ 'detection', 'semantic_segmentation', 'instance_segmentation', 'caption', 'grounding', ], tokenizer=dict(name_or_path='bert-base-uncased', type='BlipTokenizer'), type='GiTPromptBeta', use_checkpoints=True) optim_wrapper = dict( clip_grad=dict(max_norm=0.1, norm_type=2), dtype='bfloat16', optimizer=dict(lr=0.0002, type='AdamW', weight_decay=0.05), paramwise_cfg=dict( custom_keys=dict({ 'backbone': dict(lr_mult=0.1), 'backbone.embed': dict(lr_mult=1.0), 'backbone.layers.10': dict(lr_mult=0.7429), 'backbone.layers.11': dict(lr_mult=0.8714), 'backbone.layers.12': dict(lr_mult=1.0), 'backbone.layers.13': dict(lr_mult=1.0), 'backbone.layers.14': dict(lr_mult=1.0), 'backbone.layers.15': dict(lr_mult=1.0), 'backbone.layers.16': dict(lr_mult=1.0), 'backbone.layers.17': dict(lr_mult=1.0), 'backbone.layers.6': dict(lr_mult=0.2286), 'backbone.layers.7': dict(lr_mult=0.3571), 'backbone.layers.8': dict(lr_mult=0.4858), 'backbone.layers.9': dict(lr_mult=0.6143), 'reference_points': dict(lr_mult=0.1), 'sampling_offsets': dict(lr_mult=0.1) })), type='AmpOptimWrapper') param_scheduler = [ dict( T_max=120000, begin=0, by_epoch=False, end=120000, eta_min=2e-06, type='CosineAnnealingLR'), ] pretrained = 'https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth' resume = True test_cfg = dict(type='ValLoop') 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, to_float32=True, type='LoadImageFromFile'), dict(keep_ratio=False, scale=( 1120, 1120, ), type='Resize'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True), dict( meta_dict=dict( git_cfg=dict( global_only_image=True, grid_interpolate=True, grid_resolution_perwin=[ 5, 5, ], max_length=30, mode='instance_segmentation', num_vocal=2322, samples_grids_eachwin=10), head_cfg=dict( max_length=30, num_bins=2240, num_classes=80, num_vocal=2322), task_name='instance_segmentation'), type='AddMetaInfo'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'task_name', 'head_cfg', 'git_cfg', ), type='PackDetInputs'), ], return_classes=True, test_mode=True, type='CocoDataset'), drop_last=False, num_workers=1, 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=[ 'segm', ], type='CocoMetric') test_pipeline = [ dict(backend_args=None, to_float32=True, type='LoadImageFromFile'), dict(keep_ratio=False, scale=( 1120, 1120, ), type='Resize'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True), dict( meta_dict=dict( git_cfg=dict( global_only_image=True, grid_interpolate=True, grid_resolution_perwin=[ 5, 5, ], max_length=30, mode='instance_segmentation', num_vocal=2322, samples_grids_eachwin=10), head_cfg=dict( max_length=30, num_bins=2240, num_classes=80, num_vocal=2322), task_name='instance_segmentation'), type='AddMetaInfo'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'task_name', 'head_cfg', 'git_cfg', ), type='PackDetInputs'), ] train_cfg = dict( max_iters=120000, type='IterBasedTrainLoop', val_interval=5000) train_dataloader = dict( batch_sampler=None, batch_size=3, dataset=dict( datasets=[ dict( 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, to_float32=True, type='LoadImageFromFile'), dict( type='LoadAnnotations', with_bbox=True, with_mask=True), dict( meta_dict=dict( git_cfg=dict( global_only_image=True, grid_interpolate=True, grid_resolution_perwin=[ 5, 5, ], max_length=30, mode='instance_segmentation', num_vocal=2322, samples_grids_eachwin=10), head_cfg=dict( max_length=30, num_bins=2240, num_classes=80, num_vocal=2322), task_name='instance_segmentation'), type='AddMetaInfo'), dict(prob=0.5, type='RandomFlip'), dict( transforms=[ [ dict( keep_ratio=False, scales=[ ( 1120, 1120, ), ], type='RandomChoiceResize'), ], [ dict( keep_ratio=True, scales=[ ( 400, 4200, ), ( 500, 4200, ), ( 600, 4200, ), ], type='RandomChoiceResize'), dict( allow_negative_crop=True, crop_size=( 384, 600, ), crop_type='absolute_range', type='RandomCrop'), dict( keep_ratio=False, scales=[ ( 1120, 1120, ), ], type='RandomChoiceResize'), ], ], type='RandomChoice'), dict( by_mask=True, min_gt_bbox_wh=( 1e-05, 1e-05, ), type='FilterAnnotations'), ], return_classes=True, type='CocoDataset'), pipeline=[ dict(max_num_pasted=100, type='CopyPaste'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'flip', 'flip_direction', 'task_name', 'head_cfg', 'git_cfg', ), type='PackDetInputs'), ], type='MultiImageMixDataset'), ], ignore_keys=[ 'reduce_zero_label', 'label_map', 'classes', 'palette', ], type='ConcatDataset'), num_workers=4, persistent_workers=True, sampler=dict( batch_size=3, if_group=[ True, ], shuffle=True, source_ratio=[ 1.0, ], type='GroupMultiSourceNonMixedSampler')) tta_model = dict(type='SegTTAModel') 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, to_float32=True, type='LoadImageFromFile'), dict(keep_ratio=False, scale=( 1120, 1120, ), type='Resize'), dict(type='LoadAnnotations', with_bbox=True, with_mask=True), dict( meta_dict=dict( git_cfg=dict( global_only_image=True, grid_interpolate=True, grid_resolution_perwin=[ 5, 5, ], max_length=30, mode='instance_segmentation', num_vocal=2322, samples_grids_eachwin=10), head_cfg=dict( max_length=30, num_bins=2240, num_classes=80, num_vocal=2322), task_name='instance_segmentation'), type='AddMetaInfo'), dict( meta_keys=( 'img_id', 'img_path', 'ori_shape', 'img_shape', 'scale_factor', 'task_name', 'head_cfg', 'git_cfg', ), type='PackDetInputs'), ], return_classes=True, test_mode=True, type='CocoDataset'), drop_last=False, num_workers=1, 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=[ 'segm', ], type='CocoMetric') vis_backends = [ dict(type='LocalVisBackend'), dict(type='TensorboardVisBackend'), ] visualizer = dict( name='visualizer', type='DetLocalVisualizer', vis_backends=[ dict(type='LocalVisBackend'), dict(type='TensorboardVisBackend'), ]) work_dir = './work_dirs/single_instanceseg_base_1120_prompt_beta_raw' 2024/08/15 07:15:39 - mmengine - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) RuntimeInfoHook (49 ) EMAHook (BELOW_NORMAL) LoggerHook -------------------- after_load_checkpoint: (49 ) EMAHook -------------------- before_train: (VERY_HIGH ) RuntimeInfoHook (49 ) EMAHook (NORMAL ) IterTimerHook (VERY_LOW ) CheckpointHook -------------------- before_train_epoch: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook (NORMAL ) DistSamplerSeedHook (NORMAL ) PipelineSwitchHook -------------------- before_train_iter: (VERY_HIGH ) RuntimeInfoHook (NORMAL ) IterTimerHook -------------------- after_train_iter: (VERY_HIGH ) RuntimeInfoHook (49 ) EMAHook (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: (49 ) EMAHook (NORMAL ) IterTimerHook -------------------- before_val_iter: (NORMAL ) IterTimerHook -------------------- after_val_iter: (NORMAL ) IterTimerHook (NORMAL ) DetVisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_val_epoch: (VERY_HIGH ) RuntimeInfoHook (49 ) EMAHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook (LOW ) ParamSchedulerHook (VERY_LOW ) CheckpointHook -------------------- after_val: (VERY_HIGH ) RuntimeInfoHook -------------------- before_save_checkpoint: (49 ) EMAHook -------------------- after_train: (VERY_HIGH ) RuntimeInfoHook (VERY_LOW ) CheckpointHook -------------------- before_test: (VERY_HIGH ) RuntimeInfoHook -------------------- before_test_epoch: (49 ) EMAHook (NORMAL ) IterTimerHook -------------------- before_test_iter: (NORMAL ) IterTimerHook -------------------- after_test_iter: (NORMAL ) IterTimerHook (NORMAL ) DetVisualizationHook (BELOW_NORMAL) LoggerHook -------------------- after_test_epoch: (VERY_HIGH ) RuntimeInfoHook (49 ) EMAHook (NORMAL ) IterTimerHook (BELOW_NORMAL) LoggerHook -------------------- after_test: (VERY_HIGH ) RuntimeInfoHook -------------------- after_run: (BELOW_NORMAL) LoggerHook -------------------- 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.pos_embed:lr=2e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.pos_embed:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.pos_embed:lr_mult=0.1 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.patch_embed.projection.weight:lr=2e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.patch_embed.projection.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.patch_embed.projection.weight:lr_mult=0.1 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.patch_embed.projection.bias:lr=2e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.patch_embed.projection.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.patch_embed.projection.bias:lr_mult=0.1 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.embed.word_embeddings.weight:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.embed.word_embeddings.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.embed.word_embeddings.weight:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.embed.position_embeddings.weight:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.embed.position_embeddings.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.embed.position_embeddings.weight:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.embed.LayerNorm.weight:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.embed.LayerNorm.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.embed.LayerNorm.weight:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.embed.LayerNorm.bias:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.embed.LayerNorm.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.embed.LayerNorm.bias:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.0.ln1.weight:lr=2e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.0.ln1.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.0.ln1.weight:lr_mult=0.1 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.0.ln1.bias:lr=2e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.0.ln1.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.0.ln1.bias:lr_mult=0.1 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.0.attn.rel_pos_h:lr=2e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.0.attn.rel_pos_h:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.0.attn.rel_pos_h:lr_mult=0.1 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.0.attn.rel_pos_w:lr=2e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.0.attn.rel_pos_w:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.0.attn.rel_pos_w:lr_mult=0.1 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.0.attn.qkv.weight:lr=2e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- 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mmengine - INFO - paramwise_options -- backbone.layers.8.attn.qkv.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.attn.qkv.weight:lr_mult=0.4858 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.attn.qkv.bias:lr=9.716000000000001e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.attn.qkv.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.attn.qkv.bias:lr_mult=0.4858 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.attn.proj.weight:lr=9.716000000000001e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.attn.proj.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.attn.proj.weight:lr_mult=0.4858 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.attn.proj.bias:lr=9.716000000000001e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.attn.proj.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.attn.proj.bias:lr_mult=0.4858 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.ln2.weight:lr=9.716000000000001e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.ln2.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.ln2.weight:lr_mult=0.4858 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.ln2.bias:lr=9.716000000000001e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.ln2.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.ln2.bias:lr_mult=0.4858 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.ffn.layers.0.0.weight:lr=9.716000000000001e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.ffn.layers.0.0.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.ffn.layers.0.0.weight:lr_mult=0.4858 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.ffn.layers.0.0.bias:lr=9.716000000000001e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.ffn.layers.0.0.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.ffn.layers.0.0.bias:lr_mult=0.4858 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.ffn.layers.1.weight:lr=9.716000000000001e-05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.8.ffn.layers.1.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- 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backbone.layers.9.attn.proj.bias:lr_mult=0.6143 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ln2.weight:lr=0.00012286 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ln2.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ln2.weight:lr_mult=0.6143 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ln2.bias:lr=0.00012286 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ln2.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ln2.bias:lr_mult=0.6143 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ffn.layers.0.0.weight:lr=0.00012286 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ffn.layers.0.0.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ffn.layers.0.0.weight:lr_mult=0.6143 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ffn.layers.0.0.bias:lr=0.00012286 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ffn.layers.0.0.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ffn.layers.0.0.bias:lr_mult=0.6143 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ffn.layers.1.weight:lr=0.00012286 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ffn.layers.1.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ffn.layers.1.weight:lr_mult=0.6143 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ffn.layers.1.bias:lr=0.00012286 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.9.ffn.layers.1.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine 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mmengine - INFO - paramwise_options -- backbone.layers.10.attn.rel_pos_h:lr_mult=0.7429 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.10.attn.rel_pos_w:lr=0.00014858000000000002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.10.attn.rel_pos_w:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.10.attn.rel_pos_w:lr_mult=0.7429 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.10.attn.qkv.weight:lr=0.00014858000000000002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.10.attn.qkv.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.10.attn.qkv.weight:lr_mult=0.7429 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.10.attn.qkv.bias:lr=0.00014858000000000002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- 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mmengine - INFO - paramwise_options -- backbone.layers.10.ln2.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.10.ln2.weight:lr_mult=0.7429 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.10.ln2.bias:lr=0.00014858000000000002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.10.ln2.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.10.ln2.bias:lr_mult=0.7429 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.10.ffn.layers.0.0.weight:lr=0.00014858000000000002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.10.ffn.layers.0.0.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.10.ffn.layers.0.0.weight:lr_mult=0.7429 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- 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backbone.layers.16.attn.rel_pos_h:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.rel_pos_h:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.rel_pos_h:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.rel_pos_w:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.rel_pos_w:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.rel_pos_w:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.qkv.weight:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.qkv.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.qkv.weight:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.qkv.bias:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.qkv.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.qkv.bias:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.proj.weight:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.proj.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.proj.weight:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.proj.bias:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.proj.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.attn.proj.bias:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ln2.weight:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ln2.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ln2.weight:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ln2.bias:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ln2.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ln2.bias:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ffn.layers.0.0.weight:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ffn.layers.0.0.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ffn.layers.0.0.weight:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ffn.layers.0.0.bias:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ffn.layers.0.0.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ffn.layers.0.0.bias:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ffn.layers.1.weight:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ffn.layers.1.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ffn.layers.1.weight:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ffn.layers.1.bias:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ffn.layers.1.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.16.ffn.layers.1.bias:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ln1.weight:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ln1.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ln1.weight:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ln1.bias:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ln1.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ln1.bias:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.attn.qkv.weight:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.attn.qkv.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.attn.qkv.weight:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.attn.qkv.bias:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.attn.qkv.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.attn.qkv.bias:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.attn.proj.weight:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.attn.proj.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.attn.proj.weight:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.attn.proj.bias:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.attn.proj.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.attn.proj.bias:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ln2.weight:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ln2.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ln2.weight:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ln2.bias:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ln2.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ln2.bias:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ffn.layers.0.0.weight:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ffn.layers.0.0.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ffn.layers.0.0.weight:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ffn.layers.0.0.bias:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ffn.layers.0.0.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ffn.layers.0.0.bias:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ffn.layers.1.weight:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ffn.layers.1.weight:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ffn.layers.1.weight:lr_mult=1.0 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ffn.layers.1.bias:lr=0.0002 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ffn.layers.1.bias:weight_decay=0.05 2024/08/15 07:16:28 - mmengine - INFO - paramwise_options -- backbone.layers.17.ffn.layers.1.bias:lr_mult=1.0 2024/08/15 07:16:32 - mmengine - INFO - load backbone. in model from: https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth 2024/08/15 07:16:34 - mmengine - INFO - Resize the pos_embed shape from torch.Size([1, 64, 64, 768]) to torch.Size([1, 70, 70, 768]). 2024/08/15 07:16:34 - mmengine - INFO - Resize the layers.2.attn.rel_pos_h from torch.Size([127, 64]) to torch.Size([139, 64]) 2024/08/15 07:16:34 - mmengine - INFO - Resize the layers.2.attn.rel_pos_w from torch.Size([127, 64]) to torch.Size([139, 64]) 2024/08/15 07:16:34 - mmengine - INFO - Resize the layers.5.attn.rel_pos_h from torch.Size([127, 64]) to torch.Size([139, 64]) 2024/08/15 07:16:34 - mmengine - INFO - Resize the layers.5.attn.rel_pos_w from torch.Size([127, 64]) to torch.Size([139, 64]) 2024/08/15 07:16:34 - mmengine - INFO - Resize the layers.8.attn.rel_pos_h from torch.Size([127, 64]) to torch.Size([139, 64]) 2024/08/15 07:16:34 - mmengine - INFO - Resize the layers.8.attn.rel_pos_w from torch.Size([127, 64]) to torch.Size([139, 64]) 2024/08/15 07:16:34 - mmengine - INFO - Resize the layers.11.attn.rel_pos_h from torch.Size([127, 64]) to torch.Size([139, 64]) 2024/08/15 07:16:34 - mmengine - INFO - Resize the layers.11.attn.rel_pos_w from torch.Size([127, 64]) to torch.Size([139, 64]) 2024/08/15 07:16:34 - mmengine - WARNING - The model and loaded state dict do not match exactly unexpected key in source state_dict: channel_reduction.0.weight, channel_reduction.1.weight, channel_reduction.1.bias, channel_reduction.2.weight, channel_reduction.3.weight, channel_reduction.3.bias missing keys in source state_dict: embed.position_ids, embed.word_embeddings.weight, embed.position_embeddings.weight, embed.LayerNorm.weight, embed.LayerNorm.bias, layers.12.ln1.weight, layers.12.ln1.bias, layers.12.attn.rel_pos_h, layers.12.attn.rel_pos_w, layers.12.attn.qkv.weight, layers.12.attn.qkv.bias, layers.12.attn.proj.weight, layers.12.attn.proj.bias, layers.12.ln2.weight, layers.12.ln2.bias, layers.12.ffn.layers.0.0.weight, layers.12.ffn.layers.0.0.bias, layers.12.ffn.layers.1.weight, layers.12.ffn.layers.1.bias, layers.13.ln1.weight, layers.13.ln1.bias, layers.13.attn.rel_pos_h, layers.13.attn.rel_pos_w, layers.13.attn.qkv.weight, layers.13.attn.qkv.bias, layers.13.attn.proj.weight, layers.13.attn.proj.bias, layers.13.ln2.weight, layers.13.ln2.bias, layers.13.ffn.layers.0.0.weight, layers.13.ffn.layers.0.0.bias, layers.13.ffn.layers.1.weight, layers.13.ffn.layers.1.bias, layers.14.ln1.weight, layers.14.ln1.bias, layers.14.attn.rel_pos_h, layers.14.attn.rel_pos_w, layers.14.attn.qkv.weight, layers.14.attn.qkv.bias, layers.14.attn.proj.weight, layers.14.attn.proj.bias, layers.14.ln2.weight, layers.14.ln2.bias, layers.14.ffn.layers.0.0.weight, layers.14.ffn.layers.0.0.bias, layers.14.ffn.layers.1.weight, layers.14.ffn.layers.1.bias, layers.15.ln1.weight, layers.15.ln1.bias, layers.15.attn.rel_pos_h, layers.15.attn.rel_pos_w, layers.15.attn.qkv.weight, layers.15.attn.qkv.bias, layers.15.attn.proj.weight, layers.15.attn.proj.bias, layers.15.ln2.weight, layers.15.ln2.bias, layers.15.ffn.layers.0.0.weight, layers.15.ffn.layers.0.0.bias, layers.15.ffn.layers.1.weight, layers.15.ffn.layers.1.bias, layers.16.ln1.weight, layers.16.ln1.bias, layers.16.attn.rel_pos_h, layers.16.attn.rel_pos_w, layers.16.attn.qkv.weight, layers.16.attn.qkv.bias, layers.16.attn.proj.weight, layers.16.attn.proj.bias, layers.16.ln2.weight, layers.16.ln2.bias, layers.16.ffn.layers.0.0.weight, layers.16.ffn.layers.0.0.bias, layers.16.ffn.layers.1.weight, layers.16.ffn.layers.1.bias, layers.17.ln1.weight, layers.17.ln1.bias, layers.17.attn.rel_pos_h, layers.17.attn.rel_pos_w, layers.17.attn.qkv.weight, layers.17.attn.qkv.bias, layers.17.attn.proj.weight, layers.17.attn.proj.bias, layers.17.ln2.weight, layers.17.ln2.bias, layers.17.ffn.layers.0.0.weight, layers.17.ffn.layers.0.0.bias, layers.17.ffn.layers.1.weight, layers.17.ffn.layers.1.bias Name of parameter - Initialization information backbone.pos_embed - torch.Size([1, 70, 70, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.patch_embed.projection.weight - torch.Size([768, 3, 16, 16]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.patch_embed.projection.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.embed.word_embeddings.weight - torch.Size([30525, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.embed.position_embeddings.weight - torch.Size([512, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.embed.LayerNorm.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.embed.LayerNorm.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.0.ln1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.0.ln1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.0.attn.rel_pos_h - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.0.attn.rel_pos_w - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.0.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.0.attn.qkv.bias - torch.Size([2304]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.0.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.0.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.0.ln2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.0.ln2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.0.ffn.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.0.ffn.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.0.ffn.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.0.ffn.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.1.ln1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.1.ln1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.1.attn.rel_pos_h - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.1.attn.rel_pos_w - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.1.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.1.attn.qkv.bias - torch.Size([2304]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.1.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.1.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.1.ln2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.1.ln2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.1.ffn.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.1.ffn.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.1.ffn.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.1.ffn.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.2.ln1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.2.ln1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.2.attn.rel_pos_h - torch.Size([139, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.2.attn.rel_pos_w - torch.Size([139, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.2.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.2.attn.qkv.bias - torch.Size([2304]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.2.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.2.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.2.ln2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.2.ln2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.2.ffn.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.2.ffn.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.2.ffn.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.2.ffn.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.3.ln1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.3.ln1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.3.attn.rel_pos_h - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.3.attn.rel_pos_w - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.3.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.3.attn.qkv.bias - torch.Size([2304]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.3.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.3.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.3.ln2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.3.ln2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.3.ffn.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.3.ffn.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.3.ffn.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.3.ffn.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.4.ln1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.4.ln1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.4.attn.rel_pos_h - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.4.attn.rel_pos_w - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.4.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.4.attn.qkv.bias - torch.Size([2304]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.4.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.4.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.4.ln2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.4.ln2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.4.ffn.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.4.ffn.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.4.ffn.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.4.ffn.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.5.ln1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.5.ln1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.5.attn.rel_pos_h - torch.Size([139, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.5.attn.rel_pos_w - torch.Size([139, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.5.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.5.attn.qkv.bias - torch.Size([2304]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.5.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.5.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.5.ln2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.5.ln2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.5.ffn.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.5.ffn.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.5.ffn.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.5.ffn.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.6.ln1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.6.ln1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.6.attn.rel_pos_h - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.6.attn.rel_pos_w - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.6.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.6.attn.qkv.bias - torch.Size([2304]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.6.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.6.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.6.ln2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.6.ln2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.6.ffn.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.6.ffn.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.6.ffn.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.6.ffn.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.7.ln1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.7.ln1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.7.attn.rel_pos_h - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.7.attn.rel_pos_w - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.7.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.7.attn.qkv.bias - torch.Size([2304]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.7.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.7.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.7.ln2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.7.ln2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.7.ffn.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.7.ffn.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.7.ffn.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.7.ffn.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.8.ln1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.8.ln1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.8.attn.rel_pos_h - torch.Size([139, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.8.attn.rel_pos_w - torch.Size([139, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.8.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.8.attn.qkv.bias - torch.Size([2304]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.8.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.8.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.8.ln2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.8.ln2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.8.ffn.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.8.ffn.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.8.ffn.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.8.ffn.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.9.ln1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.9.ln1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.9.attn.rel_pos_h - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.9.attn.rel_pos_w - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.9.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.9.attn.qkv.bias - torch.Size([2304]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.9.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.9.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.9.ln2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.9.ln2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.9.ffn.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.9.ffn.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.9.ffn.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.9.ffn.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.10.ln1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.10.ln1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.10.attn.rel_pos_h - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.10.attn.rel_pos_w - torch.Size([27, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.10.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.10.attn.qkv.bias - torch.Size([2304]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.10.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.10.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.10.ln2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.10.ln2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.10.ffn.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.10.ffn.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.10.ffn.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.10.ffn.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.11.ln1.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.11.ln1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.11.attn.rel_pos_h - torch.Size([139, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.11.attn.rel_pos_w - torch.Size([139, 64]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.11.attn.qkv.weight - torch.Size([2304, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.11.attn.qkv.bias - torch.Size([2304]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.11.attn.proj.weight - torch.Size([768, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.11.attn.proj.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.11.ln2.weight - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.11.ln2.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.11.ffn.layers.0.0.weight - torch.Size([3072, 768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.11.ffn.layers.0.0.bias - torch.Size([3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.11.ffn.layers.1.weight - torch.Size([768, 3072]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.11.ffn.layers.1.bias - torch.Size([768]): PretrainedInit: load from https://download.openmmlab.com/mmclassification/v1/vit_sam/vit-base-p16_sam-pre_3rdparty_sa1b-1024px_20230411-2320f9cc.pth backbone.layers.12.ln1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.12.ln1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.12.attn.rel_pos_h - torch.Size([27, 64]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.12.attn.rel_pos_w - torch.Size([27, 64]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.12.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.12.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.12.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.12.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.12.ln2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.12.ln2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.12.ffn.layers.0.0.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.12.ffn.layers.0.0.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.12.ffn.layers.1.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.12.ffn.layers.1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.13.ln1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.13.ln1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.13.attn.rel_pos_h - torch.Size([27, 64]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.13.attn.rel_pos_w - torch.Size([27, 64]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.13.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.13.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.13.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.13.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.13.ln2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.13.ln2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.13.ffn.layers.0.0.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.13.ffn.layers.0.0.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.13.ffn.layers.1.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.13.ffn.layers.1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.14.ln1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.14.ln1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.14.attn.rel_pos_h - torch.Size([27, 64]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.14.attn.rel_pos_w - torch.Size([27, 64]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.14.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.14.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.14.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.14.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.14.ln2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.14.ln2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.14.ffn.layers.0.0.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.14.ffn.layers.0.0.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.14.ffn.layers.1.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.14.ffn.layers.1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.15.ln1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.15.ln1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.15.attn.rel_pos_h - torch.Size([27, 64]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.15.attn.rel_pos_w - torch.Size([27, 64]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.15.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.15.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.15.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.15.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.15.ln2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.15.ln2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.15.ffn.layers.0.0.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.15.ffn.layers.0.0.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.15.ffn.layers.1.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.15.ffn.layers.1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.16.ln1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.16.ln1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.16.attn.rel_pos_h - torch.Size([27, 64]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.16.attn.rel_pos_w - torch.Size([27, 64]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.16.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.16.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.16.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.16.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.16.ln2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.16.ln2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.16.ffn.layers.0.0.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.16.ffn.layers.0.0.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.16.ffn.layers.1.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.16.ffn.layers.1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.17.ln1.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.17.ln1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.17.attn.rel_pos_h - torch.Size([27, 64]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.17.attn.rel_pos_w - torch.Size([27, 64]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.17.attn.qkv.weight - torch.Size([2304, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.17.attn.qkv.bias - torch.Size([2304]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.17.attn.proj.weight - torch.Size([768, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.17.attn.proj.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.17.ln2.weight - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.17.ln2.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.17.ffn.layers.0.0.weight - torch.Size([3072, 768]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.17.ffn.layers.0.0.bias - torch.Size([3072]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.17.ffn.layers.1.weight - torch.Size([768, 3072]): The value is the same before and after calling `init_weights` of GiTPromptBeta backbone.layers.17.ffn.layers.1.bias - torch.Size([768]): The value is the same before and after calling `init_weights` of GiTPromptBeta 2024/08/15 07:16:36 - mmengine - INFO - Load checkpoint from ./iter_25000.pth 2024/08/15 07:16:36 - mmengine - INFO - resumed epoch: 0, iter: 25000 2024/08/15 07:16:36 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io 2024/08/15 07:16:36 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. 2024/08/15 07:16:36 - mmengine - INFO - Checkpoints will be saved to /home/tanghao/mpi/GiT/work_dirs/single_instanceseg_base_1120_prompt_beta_raw. 2024/08/15 07:18:22 - mmengine - INFO - Iter(train) [ 25050/120000] base_lr: 1.7946e-04 lr: 1.8133e-05 eta: 2 days, 8:07:41 time: 3.0096 data_time: 0.1680 memory: 11823 grad_norm: 0.8748 loss: 0.2853 instance_segmentation_loss_cls: 0.0539 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2085 2024/08/15 07:20:07 - mmengine - INFO - Iter(train) [ 25100/120000] base_lr: 1.7939e-04 lr: 1.8126e-05 eta: 2 days, 7:44:12 time: 2.9985 data_time: 0.1669 memory: 11789 grad_norm: 0.8741 loss: 0.2853 instance_segmentation_loss_cls: 0.0539 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2085 2024/08/15 07:21:52 - mmengine - INFO - Iter(train) [ 25150/120000] base_lr: 1.7931e-04 lr: 1.8119e-05 eta: 2 days, 7:29:46 time: 2.9870 data_time: 0.1656 memory: 11787 grad_norm: 0.8742 loss: 0.2852 instance_segmentation_loss_cls: 0.0539 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2085 2024/08/15 07:23:37 - mmengine - INFO - Iter(train) [ 25200/120000] base_lr: 1.7923e-04 lr: 1.8112e-05 eta: 2 days, 7:24:00 time: 2.9758 data_time: 0.1644 memory: 11535 grad_norm: 0.8739 loss: 0.2844 instance_segmentation_loss_cls: 0.0538 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2078 2024/08/15 07:25:21 - mmengine - INFO - Iter(train) [ 25250/120000] base_lr: 1.7915e-04 lr: 1.8104e-05 eta: 2 days, 7:16:58 time: 2.9641 data_time: 0.1633 memory: 11486 grad_norm: 0.8734 loss: 0.2838 instance_segmentation_loss_cls: 0.0536 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2073 2024/08/15 07:27:05 - mmengine - INFO - Iter(train) [ 25300/120000] base_lr: 1.7907e-04 lr: 1.8097e-05 eta: 2 days, 7:08:21 time: 2.9526 data_time: 0.1625 memory: 11593 grad_norm: 0.8729 loss: 0.2839 instance_segmentation_loss_cls: 0.0536 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2075 2024/08/15 07:28:49 - mmengine - INFO - Iter(train) [ 25350/120000] base_lr: 1.7899e-04 lr: 1.8090e-05 eta: 2 days, 7:02:40 time: 2.9413 data_time: 0.1616 memory: 11877 grad_norm: 0.8724 loss: 0.2841 instance_segmentation_loss_cls: 0.0536 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2077 2024/08/15 07:30:32 - mmengine - INFO - Iter(train) [ 25400/120000] base_lr: 1.7891e-04 lr: 1.8083e-05 eta: 2 days, 6:56:59 time: 2.9296 data_time: 0.1606 memory: 11568 grad_norm: 0.8723 loss: 0.2840 instance_segmentation_loss_cls: 0.0535 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2076 2024/08/15 07:32:16 - mmengine - INFO - Iter(train) [ 25450/120000] base_lr: 1.7883e-04 lr: 1.8075e-05 eta: 2 days, 6:51:09 time: 2.9179 data_time: 0.1594 memory: 12112 grad_norm: 0.8723 loss: 0.2839 instance_segmentation_loss_cls: 0.0535 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2075 2024/08/15 07:34:00 - mmengine - INFO - Iter(train) [ 25500/120000] base_lr: 1.7875e-04 lr: 1.8068e-05 eta: 2 days, 6:48:55 time: 2.9061 data_time: 0.1583 memory: 11735 grad_norm: 0.8717 loss: 0.2836 instance_segmentation_loss_cls: 0.0535 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2073 2024/08/15 07:35:43 - mmengine - INFO - Iter(train) [ 25550/120000] base_lr: 1.7867e-04 lr: 1.8061e-05 eta: 2 days, 6:44:12 time: 2.8946 data_time: 0.1571 memory: 11668 grad_norm: 0.8723 loss: 0.2830 instance_segmentation_loss_cls: 0.0534 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2068 2024/08/15 07:37:26 - mmengine - INFO - Iter(train) [ 25600/120000] base_lr: 1.7859e-04 lr: 1.8053e-05 eta: 2 days, 6:39:25 time: 2.8829 data_time: 0.1561 memory: 11647 grad_norm: 0.8717 loss: 0.2828 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2067 2024/08/15 07:39:10 - mmengine - INFO - Iter(train) [ 25650/120000] base_lr: 1.7851e-04 lr: 1.8046e-05 eta: 2 days, 6:36:47 time: 2.8715 data_time: 0.1554 memory: 11962 grad_norm: 0.8710 loss: 0.2833 instance_segmentation_loss_cls: 0.0534 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2070 2024/08/15 07:40:54 - mmengine - INFO - Iter(train) [ 25700/120000] base_lr: 1.7843e-04 lr: 1.8039e-05 eta: 2 days, 6:34:05 time: 2.8596 data_time: 0.1545 memory: 11731 grad_norm: 0.8712 loss: 0.2834 instance_segmentation_loss_cls: 0.0534 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2071 2024/08/15 07:42:38 - mmengine - INFO - Iter(train) [ 25750/120000] base_lr: 1.7835e-04 lr: 1.8031e-05 eta: 2 days, 6:31:36 time: 2.8478 data_time: 0.1535 memory: 11585 grad_norm: 0.8708 loss: 0.2837 instance_segmentation_loss_cls: 0.0535 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2073 2024/08/15 07:44:21 - mmengine - INFO - Iter(train) [ 25800/120000] base_lr: 1.7826e-04 lr: 1.8024e-05 eta: 2 days, 6:27:29 time: 2.8359 data_time: 0.1520 memory: 11485 grad_norm: 0.8705 loss: 0.2829 instance_segmentation_loss_cls: 0.0534 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2066 2024/08/15 07:46:04 - mmengine - INFO - Iter(train) [ 25850/120000] base_lr: 1.7818e-04 lr: 1.8017e-05 eta: 2 days, 6:24:55 time: 2.8243 data_time: 0.1509 memory: 11685 grad_norm: 0.8705 loss: 0.2826 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2064 2024/08/15 07:47:48 - mmengine - INFO - Iter(train) [ 25900/120000] base_lr: 1.7810e-04 lr: 1.8009e-05 eta: 2 days, 6:21:51 time: 2.8127 data_time: 0.1501 memory: 11837 grad_norm: 0.8692 loss: 0.2829 instance_segmentation_loss_cls: 0.0534 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2066 2024/08/15 07:49:31 - mmengine - INFO - Iter(train) [ 25950/120000] base_lr: 1.7802e-04 lr: 1.8002e-05 eta: 2 days, 6:19:46 time: 2.8012 data_time: 0.1490 memory: 11498 grad_norm: 0.8689 loss: 0.2825 instance_segmentation_loss_cls: 0.0533 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2063 2024/08/15 07:51:15 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 07:51:15 - mmengine - INFO - Iter(train) [ 26000/120000] base_lr: 1.7794e-04 lr: 1.7994e-05 eta: 2 days, 6:16:54 time: 2.7895 data_time: 0.1479 memory: 11686 grad_norm: 0.8680 loss: 0.2819 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2059 2024/08/15 07:51:15 - mmengine - INFO - Saving checkpoint at 26000 iterations 2024/08/15 07:53:02 - mmengine - INFO - Iter(train) [ 26050/120000] base_lr: 1.7786e-04 lr: 1.7987e-05 eta: 2 days, 6:19:46 time: 2.7769 data_time: 0.1463 memory: 12192 grad_norm: 0.8678 loss: 0.2824 instance_segmentation_loss_cls: 0.0532 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2063 2024/08/15 07:54:45 - mmengine - INFO - Iter(train) [ 26100/120000] base_lr: 1.7778e-04 lr: 1.7980e-05 eta: 2 days, 6:17:10 time: 2.7655 data_time: 0.1450 memory: 11704 grad_norm: 0.8680 loss: 0.2818 instance_segmentation_loss_cls: 0.0531 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2059 2024/08/15 07:56:29 - mmengine - INFO - Iter(train) [ 26150/120000] base_lr: 1.7769e-04 lr: 1.7972e-05 eta: 2 days, 6:14:23 time: 2.7539 data_time: 0.1438 memory: 11761 grad_norm: 0.8666 loss: 0.2811 instance_segmentation_loss_cls: 0.0531 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2052 2024/08/15 07:58:11 - mmengine - INFO - Iter(train) [ 26200/120000] base_lr: 1.7761e-04 lr: 1.7965e-05 eta: 2 days, 6:11:09 time: 2.7421 data_time: 0.1427 memory: 11486 grad_norm: 0.8665 loss: 0.2806 instance_segmentation_loss_cls: 0.0530 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2048 2024/08/15 07:59:54 - mmengine - INFO - Iter(train) [ 26250/120000] base_lr: 1.7753e-04 lr: 1.7957e-05 eta: 2 days, 6:07:33 time: 2.7306 data_time: 0.1416 memory: 11591 grad_norm: 0.8666 loss: 0.2803 instance_segmentation_loss_cls: 0.0530 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2045 2024/08/15 08:01:36 - mmengine - INFO - Iter(train) [ 26300/120000] base_lr: 1.7745e-04 lr: 1.7950e-05 eta: 2 days, 6:03:44 time: 2.7187 data_time: 0.1409 memory: 11980 grad_norm: 0.8660 loss: 0.2804 instance_segmentation_loss_cls: 0.0530 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2046 2024/08/15 08:03:19 - mmengine - INFO - Iter(train) [ 26350/120000] base_lr: 1.7736e-04 lr: 1.7942e-05 eta: 2 days, 6:01:22 time: 2.7070 data_time: 0.1398 memory: 11701 grad_norm: 0.8655 loss: 0.2804 instance_segmentation_loss_cls: 0.0529 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2047 2024/08/15 08:05:03 - mmengine - INFO - Iter(train) [ 26400/120000] base_lr: 1.7728e-04 lr: 1.7935e-05 eta: 2 days, 5:59:12 time: 2.6950 data_time: 0.1389 memory: 11535 grad_norm: 0.8658 loss: 0.2804 instance_segmentation_loss_cls: 0.0529 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2047 2024/08/15 08:06:46 - mmengine - INFO - Iter(train) [ 26450/120000] base_lr: 1.7720e-04 lr: 1.7927e-05 eta: 2 days, 5:57:13 time: 2.6835 data_time: 0.1379 memory: 11528 grad_norm: 0.8653 loss: 0.2807 instance_segmentation_loss_cls: 0.0529 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2049 2024/08/15 08:08:30 - mmengine - INFO - Iter(train) [ 26500/120000] base_lr: 1.7712e-04 lr: 1.7920e-05 eta: 2 days, 5:55:41 time: 2.6722 data_time: 0.1372 memory: 11841 grad_norm: 0.8655 loss: 0.2807 instance_segmentation_loss_cls: 0.0529 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2050 2024/08/15 08:10:14 - mmengine - INFO - Iter(train) [ 26550/120000] base_lr: 1.7703e-04 lr: 1.7912e-05 eta: 2 days, 5:53:24 time: 2.6607 data_time: 0.1362 memory: 11776 grad_norm: 0.8649 loss: 0.2809 instance_segmentation_loss_cls: 0.0529 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2051 2024/08/15 08:11:57 - mmengine - INFO - Iter(train) [ 26600/120000] base_lr: 1.7695e-04 lr: 1.7905e-05 eta: 2 days, 5:51:19 time: 2.6485 data_time: 0.1352 memory: 11700 grad_norm: 0.8643 loss: 0.2806 instance_segmentation_loss_cls: 0.0528 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2049 2024/08/15 08:13:40 - mmengine - INFO - Iter(train) [ 26650/120000] base_lr: 1.7687e-04 lr: 1.7897e-05 eta: 2 days, 5:48:39 time: 2.6366 data_time: 0.1340 memory: 11651 grad_norm: 0.8644 loss: 0.2802 instance_segmentation_loss_cls: 0.0528 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2045 2024/08/15 08:15:24 - mmengine - INFO - Iter(train) [ 26700/120000] base_lr: 1.7678e-04 lr: 1.7890e-05 eta: 2 days, 5:46:50 time: 2.6247 data_time: 0.1330 memory: 11890 grad_norm: 0.8639 loss: 0.2800 instance_segmentation_loss_cls: 0.0527 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2043 2024/08/15 08:17:07 - mmengine - INFO - Iter(train) [ 26750/120000] base_lr: 1.7670e-04 lr: 1.7882e-05 eta: 2 days, 5:44:59 time: 2.6134 data_time: 0.1320 memory: 11684 grad_norm: 0.8634 loss: 0.2800 instance_segmentation_loss_cls: 0.0528 instance_segmentation_loss_mask: 0.0230 instance_segmentation_loss_dice: 0.2043 2024/08/15 08:18:51 - mmengine - INFO - Iter(train) [ 26800/120000] base_lr: 1.7662e-04 lr: 1.7874e-05 eta: 2 days, 5:43:13 time: 2.6019 data_time: 0.1310 memory: 11782 grad_norm: 0.8631 loss: 0.2798 instance_segmentation_loss_cls: 0.0527 instance_segmentation_loss_mask: 0.0230 instance_segmentation_loss_dice: 0.2041 2024/08/15 08:20:34 - mmengine - INFO - Iter(train) [ 26850/120000] base_lr: 1.7653e-04 lr: 1.7867e-05 eta: 2 days, 5:41:03 time: 2.5902 data_time: 0.1299 memory: 11694 grad_norm: 0.8626 loss: 0.2796 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2041 2024/08/15 08:22:17 - mmengine - INFO - Iter(train) [ 26900/120000] base_lr: 1.7645e-04 lr: 1.7859e-05 eta: 2 days, 5:38:54 time: 2.5787 data_time: 0.1288 memory: 11748 grad_norm: 0.8623 loss: 0.2792 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2038 2024/08/15 08:24:01 - mmengine - INFO - Iter(train) [ 26950/120000] base_lr: 1.7637e-04 lr: 1.7851e-05 eta: 2 days, 5:36:37 time: 2.5667 data_time: 0.1280 memory: 11936 grad_norm: 0.8617 loss: 0.2796 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2040 2024/08/15 08:25:43 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 08:25:43 - mmengine - INFO - Iter(train) [ 27000/120000] base_lr: 1.7628e-04 lr: 1.7844e-05 eta: 2 days, 5:34:03 time: 2.5548 data_time: 0.1273 memory: 11844 grad_norm: 0.8605 loss: 0.2798 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2042 2024/08/15 08:25:43 - mmengine - INFO - Saving checkpoint at 27000 iterations 2024/08/15 08:27:32 - mmengine - INFO - Iter(train) [ 27050/120000] base_lr: 1.7620e-04 lr: 1.7836e-05 eta: 2 days, 5:36:13 time: 2.5439 data_time: 0.1278 memory: 11795 grad_norm: 0.8608 loss: 0.2797 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2042 2024/08/15 08:29:15 - mmengine - INFO - Iter(train) [ 27100/120000] base_lr: 1.7611e-04 lr: 1.7828e-05 eta: 2 days, 5:33:56 time: 2.5317 data_time: 0.1268 memory: 11591 grad_norm: 0.8607 loss: 0.2796 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2041 2024/08/15 08:30:59 - mmengine - INFO - Iter(train) [ 27150/120000] base_lr: 1.7603e-04 lr: 1.7821e-05 eta: 2 days, 5:31:58 time: 2.5190 data_time: 0.1259 memory: 11562 grad_norm: 0.8600 loss: 0.2797 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2041 2024/08/15 08:32:42 - mmengine - INFO - Iter(train) [ 27200/120000] base_lr: 1.7594e-04 lr: 1.7813e-05 eta: 2 days, 5:30:15 time: 2.5070 data_time: 0.1254 memory: 11540 grad_norm: 0.8595 loss: 0.2795 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2040 2024/08/15 08:34:26 - mmengine - INFO - Iter(train) [ 27250/120000] base_lr: 1.7586e-04 lr: 1.7805e-05 eta: 2 days, 5:28:29 time: 2.4949 data_time: 0.1247 memory: 11649 grad_norm: 0.8592 loss: 0.2796 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_mask: 0.0230 instance_segmentation_loss_dice: 0.2041 2024/08/15 08:36:10 - mmengine - INFO - Iter(train) [ 27300/120000] base_lr: 1.7577e-04 lr: 1.7798e-05 eta: 2 days, 5:26:41 time: 2.4832 data_time: 0.1243 memory: 12234 grad_norm: 0.8584 loss: 0.2796 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_mask: 0.0230 instance_segmentation_loss_dice: 0.2040 2024/08/15 08:37:53 - mmengine - INFO - Iter(train) [ 27350/120000] base_lr: 1.7569e-04 lr: 1.7790e-05 eta: 2 days, 5:24:19 time: 2.4710 data_time: 0.1236 memory: 11588 grad_norm: 0.8582 loss: 0.2794 instance_segmentation_loss_cls: 0.0526 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2039 2024/08/15 08:39:36 - mmengine - INFO - Iter(train) [ 27400/120000] base_lr: 1.7560e-04 lr: 1.7782e-05 eta: 2 days, 5:22:41 time: 2.4597 data_time: 0.1228 memory: 11608 grad_norm: 0.8581 loss: 0.2791 instance_segmentation_loss_cls: 0.0525 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2037 2024/08/15 08:41:20 - mmengine - INFO - Iter(train) [ 27450/120000] base_lr: 1.7552e-04 lr: 1.7774e-05 eta: 2 days, 5:20:38 time: 2.4479 data_time: 0.1220 memory: 11869 grad_norm: 0.8587 loss: 0.2788 instance_segmentation_loss_cls: 0.0525 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2035 2024/08/15 08:43:03 - mmengine - INFO - Iter(train) [ 27500/120000] base_lr: 1.7543e-04 lr: 1.7767e-05 eta: 2 days, 5:18:46 time: 2.4365 data_time: 0.1212 memory: 11769 grad_norm: 0.8580 loss: 0.2785 instance_segmentation_loss_cls: 0.0524 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2032 2024/08/15 08:44:47 - mmengine - INFO - Iter(train) [ 27550/120000] base_lr: 1.7535e-04 lr: 1.7759e-05 eta: 2 days, 5:17:14 time: 2.4247 data_time: 0.1204 memory: 12518 grad_norm: 0.8579 loss: 0.2781 instance_segmentation_loss_cls: 0.0523 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2030 2024/08/15 08:46:31 - mmengine - INFO - Iter(train) [ 27600/120000] base_lr: 1.7526e-04 lr: 1.7751e-05 eta: 2 days, 5:15:11 time: 2.4131 data_time: 0.1196 memory: 11488 grad_norm: 0.8578 loss: 0.2778 instance_segmentation_loss_cls: 0.0523 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2027 2024/08/15 08:48:13 - mmengine - INFO - Iter(train) [ 27650/120000] base_lr: 1.7518e-04 lr: 1.7743e-05 eta: 2 days, 5:12:49 time: 2.4011 data_time: 0.1193 memory: 11662 grad_norm: 0.8577 loss: 0.2782 instance_segmentation_loss_cls: 0.0523 instance_segmentation_loss_mask: 0.0229 instance_segmentation_loss_dice: 0.2030 2024/08/15 08:49:57 - mmengine - INFO - Iter(train) [ 27700/120000] base_lr: 1.7509e-04 lr: 1.7736e-05 eta: 2 days, 5:10:59 time: 2.3892 data_time: 0.1183 memory: 11737 grad_norm: 0.8583 loss: 0.2776 instance_segmentation_loss_cls: 0.0522 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2026 2024/08/15 08:51:41 - mmengine - INFO - Iter(train) [ 27750/120000] base_lr: 1.7501e-04 lr: 1.7728e-05 eta: 2 days, 5:09:18 time: 2.3776 data_time: 0.1180 memory: 11803 grad_norm: 0.8573 loss: 0.2780 instance_segmentation_loss_cls: 0.0523 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2030 2024/08/15 08:53:24 - mmengine - INFO - Iter(train) [ 27800/120000] base_lr: 1.7492e-04 lr: 1.7720e-05 eta: 2 days, 5:07:21 time: 2.3659 data_time: 0.1176 memory: 11763 grad_norm: 0.8565 loss: 0.2787 instance_segmentation_loss_cls: 0.0523 instance_segmentation_loss_mask: 0.0228 instance_segmentation_loss_dice: 0.2036 2024/08/15 08:55:07 - mmengine - INFO - Iter(train) [ 27850/120000] base_lr: 1.7483e-04 lr: 1.7712e-05 eta: 2 days, 5:05:24 time: 2.3540 data_time: 0.1166 memory: 11768 grad_norm: 0.8561 loss: 0.2778 instance_segmentation_loss_cls: 0.0521 instance_segmentation_loss_mask: 0.0227 instance_segmentation_loss_dice: 0.2029 2024/08/15 08:56:51 - mmengine - INFO - Iter(train) [ 27900/120000] base_lr: 1.7475e-04 lr: 1.7704e-05 eta: 2 days, 5:03:31 time: 2.3424 data_time: 0.1159 memory: 11787 grad_norm: 0.8560 loss: 0.2778 instance_segmentation_loss_cls: 0.0521 instance_segmentation_loss_mask: 0.0227 instance_segmentation_loss_dice: 0.2030 2024/08/15 08:58:33 - mmengine - INFO - Iter(train) [ 27950/120000] base_lr: 1.7466e-04 lr: 1.7696e-05 eta: 2 days, 5:01:15 time: 2.3303 data_time: 0.1152 memory: 11880 grad_norm: 0.8558 loss: 0.2780 instance_segmentation_loss_cls: 0.0521 instance_segmentation_loss_mask: 0.0227 instance_segmentation_loss_dice: 0.2032 2024/08/15 09:00:17 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 09:00:17 - mmengine - INFO - Iter(train) [ 28000/120000] base_lr: 1.7457e-04 lr: 1.7688e-05 eta: 2 days, 4:59:33 time: 2.3186 data_time: 0.1144 memory: 11892 grad_norm: 0.8555 loss: 0.2779 instance_segmentation_loss_cls: 0.0521 instance_segmentation_loss_mask: 0.0227 instance_segmentation_loss_dice: 0.2031 2024/08/15 09:00:17 - mmengine - INFO - Saving checkpoint at 28000 iterations 2024/08/15 09:02:05 - mmengine - INFO - Iter(train) [ 28050/120000] base_lr: 1.7449e-04 lr: 1.7681e-05 eta: 2 days, 4:59:46 time: 2.3068 data_time: 0.1144 memory: 11702 grad_norm: 0.8549 loss: 0.2777 instance_segmentation_loss_cls: 0.0521 instance_segmentation_loss_mask: 0.0226 instance_segmentation_loss_dice: 0.2030 2024/08/15 09:03:47 - mmengine - INFO - Iter(train) [ 28100/120000] base_lr: 1.7440e-04 lr: 1.7673e-05 eta: 2 days, 4:57:15 time: 2.2938 data_time: 0.1136 memory: 11658 grad_norm: 0.8550 loss: 0.2776 instance_segmentation_loss_cls: 0.0520 instance_segmentation_loss_mask: 0.0226 instance_segmentation_loss_dice: 0.2029 2024/08/15 09:05:30 - mmengine - INFO - Iter(train) [ 28150/120000] base_lr: 1.7431e-04 lr: 1.7665e-05 eta: 2 days, 4:55:15 time: 2.2812 data_time: 0.1123 memory: 11565 grad_norm: 0.8554 loss: 0.2774 instance_segmentation_loss_cls: 0.0520 instance_segmentation_loss_mask: 0.0226 instance_segmentation_loss_dice: 0.2028 2024/08/15 09:07:13 - mmengine - INFO - Iter(train) [ 28200/120000] base_lr: 1.7423e-04 lr: 1.7657e-05 eta: 2 days, 4:53:02 time: 2.2685 data_time: 0.1114 memory: 11885 grad_norm: 0.8548 loss: 0.2774 instance_segmentation_loss_cls: 0.0519 instance_segmentation_loss_mask: 0.0226 instance_segmentation_loss_dice: 0.2029 2024/08/15 09:08:55 - mmengine - INFO - Iter(train) [ 28250/120000] base_lr: 1.7414e-04 lr: 1.7649e-05 eta: 2 days, 4:50:32 time: 2.2553 data_time: 0.1105 memory: 11667 grad_norm: 0.8544 loss: 0.2777 instance_segmentation_loss_cls: 0.0519 instance_segmentation_loss_mask: 0.0226 instance_segmentation_loss_dice: 0.2031 2024/08/15 09:10:37 - mmengine - INFO - Iter(train) [ 28300/120000] base_lr: 1.7405e-04 lr: 1.7641e-05 eta: 2 days, 4:48:09 time: 2.2425 data_time: 0.1094 memory: 11485 grad_norm: 0.8540 loss: 0.2770 instance_segmentation_loss_cls: 0.0518 instance_segmentation_loss_mask: 0.0226 instance_segmentation_loss_dice: 0.2026 2024/08/15 09:12:20 - mmengine - INFO - Iter(train) [ 28350/120000] base_lr: 1.7396e-04 lr: 1.7633e-05 eta: 2 days, 4:46:04 time: 2.2300 data_time: 0.1085 memory: 11573 grad_norm: 0.8543 loss: 0.2774 instance_segmentation_loss_cls: 0.0518 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2030 2024/08/15 09:14:03 - mmengine - INFO - Iter(train) [ 28400/120000] base_lr: 1.7388e-04 lr: 1.7625e-05 eta: 2 days, 4:43:59 time: 2.2174 data_time: 0.1079 memory: 11793 grad_norm: 0.8534 loss: 0.2775 instance_segmentation_loss_cls: 0.0518 instance_segmentation_loss_mask: 0.0226 instance_segmentation_loss_dice: 0.2031 2024/08/15 09:15:45 - mmengine - INFO - Iter(train) [ 28450/120000] base_lr: 1.7379e-04 lr: 1.7617e-05 eta: 2 days, 4:41:44 time: 2.2048 data_time: 0.1070 memory: 12302 grad_norm: 0.8536 loss: 0.2778 instance_segmentation_loss_cls: 0.0518 instance_segmentation_loss_mask: 0.0226 instance_segmentation_loss_dice: 0.2034 2024/08/15 09:17:28 - mmengine - INFO - Iter(train) [ 28500/120000] base_lr: 1.7370e-04 lr: 1.7609e-05 eta: 2 days, 4:39:35 time: 2.1924 data_time: 0.1064 memory: 11694 grad_norm: 0.8531 loss: 0.2780 instance_segmentation_loss_cls: 0.0518 instance_segmentation_loss_mask: 0.0226 instance_segmentation_loss_dice: 0.2036 2024/08/15 09:19:11 - mmengine - INFO - Iter(train) [ 28550/120000] base_lr: 1.7361e-04 lr: 1.7601e-05 eta: 2 days, 4:37:40 time: 2.1802 data_time: 0.1056 memory: 11758 grad_norm: 0.8530 loss: 0.2778 instance_segmentation_loss_cls: 0.0517 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2036 2024/08/15 09:20:53 - mmengine - INFO - Iter(train) [ 28600/120000] base_lr: 1.7352e-04 lr: 1.7593e-05 eta: 2 days, 4:35:23 time: 2.1675 data_time: 0.1047 memory: 11591 grad_norm: 0.8526 loss: 0.2775 instance_segmentation_loss_cls: 0.0517 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2034 2024/08/15 09:22:36 - mmengine - INFO - Iter(train) [ 28650/120000] base_lr: 1.7344e-04 lr: 1.7585e-05 eta: 2 days, 4:33:31 time: 2.1548 data_time: 0.1039 memory: 11519 grad_norm: 0.8518 loss: 0.2776 instance_segmentation_loss_cls: 0.0517 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2035 2024/08/15 09:24:19 - mmengine - INFO - Iter(train) [ 28700/120000] base_lr: 1.7335e-04 lr: 1.7577e-05 eta: 2 days, 4:31:35 time: 2.1424 data_time: 0.1034 memory: 11806 grad_norm: 0.8518 loss: 0.2780 instance_segmentation_loss_cls: 0.0517 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2038 2024/08/15 09:26:02 - mmengine - INFO - Iter(train) [ 28750/120000] base_lr: 1.7326e-04 lr: 1.7569e-05 eta: 2 days, 4:29:27 time: 2.1300 data_time: 0.1024 memory: 11792 grad_norm: 0.8514 loss: 0.2778 instance_segmentation_loss_cls: 0.0516 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2037 2024/08/15 09:27:45 - mmengine - INFO - Iter(train) [ 28800/120000] base_lr: 1.7317e-04 lr: 1.7561e-05 eta: 2 days, 4:27:24 time: 2.1178 data_time: 0.1015 memory: 11738 grad_norm: 0.8511 loss: 0.2775 instance_segmentation_loss_cls: 0.0515 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2035 2024/08/15 09:29:27 - mmengine - INFO - Iter(train) [ 28850/120000] base_lr: 1.7308e-04 lr: 1.7553e-05 eta: 2 days, 4:25:20 time: 2.1056 data_time: 0.1009 memory: 11485 grad_norm: 0.8499 loss: 0.2778 instance_segmentation_loss_cls: 0.0515 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2038 2024/08/15 09:31:10 - mmengine - INFO - Iter(train) [ 28900/120000] base_lr: 1.7299e-04 lr: 1.7545e-05 eta: 2 days, 4:23:17 time: 2.0936 data_time: 0.1002 memory: 11841 grad_norm: 0.8501 loss: 0.2773 instance_segmentation_loss_cls: 0.0514 instance_segmentation_loss_mask: 0.0224 instance_segmentation_loss_dice: 0.2035 2024/08/15 09:32:53 - mmengine - INFO - Iter(train) [ 28950/120000] base_lr: 1.7290e-04 lr: 1.7537e-05 eta: 2 days, 4:21:17 time: 2.0817 data_time: 0.0994 memory: 11574 grad_norm: 0.8504 loss: 0.2772 instance_segmentation_loss_cls: 0.0514 instance_segmentation_loss_mask: 0.0224 instance_segmentation_loss_dice: 0.2034 2024/08/15 09:34:36 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 09:34:36 - mmengine - INFO - Iter(train) [ 29000/120000] base_lr: 1.7281e-04 lr: 1.7529e-05 eta: 2 days, 4:19:15 time: 2.0698 data_time: 0.0987 memory: 11799 grad_norm: 0.8513 loss: 0.2778 instance_segmentation_loss_cls: 0.0514 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2038 2024/08/15 09:34:36 - mmengine - INFO - Saving checkpoint at 29000 iterations 2024/08/15 09:36:24 - mmengine - INFO - Iter(train) [ 29050/120000] base_lr: 1.7272e-04 lr: 1.7520e-05 eta: 2 days, 4:19:26 time: 2.0704 data_time: 0.0996 memory: 11814 grad_norm: 0.8514 loss: 0.2776 instance_segmentation_loss_cls: 0.0514 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2037 2024/08/15 09:38:07 - mmengine - INFO - Iter(train) [ 29100/120000] base_lr: 1.7264e-04 lr: 1.7512e-05 eta: 2 days, 4:17:36 time: 2.0699 data_time: 0.0994 memory: 11591 grad_norm: 0.8513 loss: 0.2772 instance_segmentation_loss_cls: 0.0513 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2035 2024/08/15 09:39:51 - mmengine - INFO - Iter(train) [ 29150/120000] base_lr: 1.7255e-04 lr: 1.7504e-05 eta: 2 days, 4:15:58 time: 2.0698 data_time: 0.0993 memory: 11614 grad_norm: 0.8510 loss: 0.2768 instance_segmentation_loss_cls: 0.0512 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2031 2024/08/15 09:41:34 - mmengine - INFO - Iter(train) [ 29200/120000] base_lr: 1.7246e-04 lr: 1.7496e-05 eta: 2 days, 4:13:59 time: 2.0693 data_time: 0.0992 memory: 11781 grad_norm: 0.8512 loss: 0.2771 instance_segmentation_loss_cls: 0.0513 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2033 2024/08/15 09:43:17 - mmengine - INFO - Iter(train) [ 29250/120000] base_lr: 1.7237e-04 lr: 1.7488e-05 eta: 2 days, 4:11:55 time: 2.0688 data_time: 0.0990 memory: 11611 grad_norm: 0.8516 loss: 0.2774 instance_segmentation_loss_cls: 0.0513 instance_segmentation_loss_mask: 0.0226 instance_segmentation_loss_dice: 0.2035 2024/08/15 09:45:00 - mmengine - INFO - Iter(train) [ 29300/120000] base_lr: 1.7228e-04 lr: 1.7480e-05 eta: 2 days, 4:10:02 time: 2.0687 data_time: 0.0991 memory: 11808 grad_norm: 0.8507 loss: 0.2775 instance_segmentation_loss_cls: 0.0513 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2037 2024/08/15 09:46:42 - mmengine - INFO - Iter(train) [ 29350/120000] base_lr: 1.7219e-04 lr: 1.7471e-05 eta: 2 days, 4:08:00 time: 2.0684 data_time: 0.0989 memory: 11489 grad_norm: 0.8512 loss: 0.2769 instance_segmentation_loss_cls: 0.0513 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2031 2024/08/15 09:48:25 - mmengine - INFO - Iter(train) [ 29400/120000] base_lr: 1.7210e-04 lr: 1.7463e-05 eta: 2 days, 4:05:59 time: 2.0681 data_time: 0.0989 memory: 11788 grad_norm: 0.8509 loss: 0.2769 instance_segmentation_loss_cls: 0.0513 instance_segmentation_loss_mask: 0.0224 instance_segmentation_loss_dice: 0.2031 2024/08/15 09:50:08 - mmengine - INFO - Iter(train) [ 29450/120000] base_lr: 1.7201e-04 lr: 1.7455e-05 eta: 2 days, 4:03:52 time: 2.0678 data_time: 0.0990 memory: 11798 grad_norm: 0.8510 loss: 0.2768 instance_segmentation_loss_cls: 0.0512 instance_segmentation_loss_mask: 0.0224 instance_segmentation_loss_dice: 0.2032 2024/08/15 09:51:51 - mmengine - INFO - Iter(train) [ 29500/120000] base_lr: 1.7192e-04 lr: 1.7447e-05 eta: 2 days, 4:02:06 time: 2.0676 data_time: 0.0991 memory: 11964 grad_norm: 0.8508 loss: 0.2768 instance_segmentation_loss_cls: 0.0512 instance_segmentation_loss_mask: 0.0224 instance_segmentation_loss_dice: 0.2032 2024/08/15 09:53:33 - mmengine - INFO - Iter(train) [ 29550/120000] base_lr: 1.7183e-04 lr: 1.7439e-05 eta: 2 days, 3:59:59 time: 2.0674 data_time: 0.0993 memory: 11963 grad_norm: 0.8504 loss: 0.2772 instance_segmentation_loss_cls: 0.0513 instance_segmentation_loss_mask: 0.0224 instance_segmentation_loss_dice: 0.2035 2024/08/15 09:55:16 - mmengine - INFO - Iter(train) [ 29600/120000] base_lr: 1.7173e-04 lr: 1.7430e-05 eta: 2 days, 3:57:54 time: 2.0672 data_time: 0.0995 memory: 11552 grad_norm: 0.8503 loss: 0.2776 instance_segmentation_loss_cls: 0.0513 instance_segmentation_loss_mask: 0.0225 instance_segmentation_loss_dice: 0.2038 2024/08/15 09:56:59 - mmengine - INFO - Iter(train) [ 29650/120000] base_lr: 1.7164e-04 lr: 1.7422e-05 eta: 2 days, 3:56:02 time: 2.0670 data_time: 0.0993 memory: 11487 grad_norm: 0.8504 loss: 0.2768 instance_segmentation_loss_cls: 0.0512 instance_segmentation_loss_mask: 0.0224 instance_segmentation_loss_dice: 0.2032 2024/08/15 09:58:42 - mmengine - INFO - Iter(train) [ 29700/120000] base_lr: 1.7155e-04 lr: 1.7414e-05 eta: 2 days, 3:54:20 time: 2.0669 data_time: 0.0994 memory: 11947 grad_norm: 0.8500 loss: 0.2769 instance_segmentation_loss_cls: 0.0512 instance_segmentation_loss_mask: 0.0224 instance_segmentation_loss_dice: 0.2034 2024/08/15 10:00:26 - mmengine - INFO - Iter(train) [ 29750/120000] base_lr: 1.7146e-04 lr: 1.7406e-05 eta: 2 days, 3:52:40 time: 2.0669 data_time: 0.0993 memory: 11506 grad_norm: 0.8497 loss: 0.2763 instance_segmentation_loss_cls: 0.0511 instance_segmentation_loss_mask: 0.0223 instance_segmentation_loss_dice: 0.2029 2024/08/15 10:02:08 - mmengine - INFO - Iter(train) [ 29800/120000] base_lr: 1.7137e-04 lr: 1.7397e-05 eta: 2 days, 3:50:40 time: 2.0668 data_time: 0.0993 memory: 11697 grad_norm: 0.8504 loss: 0.2764 instance_segmentation_loss_cls: 0.0511 instance_segmentation_loss_mask: 0.0223 instance_segmentation_loss_dice: 0.2030 2024/08/15 10:03:51 - mmengine - INFO - Iter(train) [ 29850/120000] base_lr: 1.7128e-04 lr: 1.7389e-05 eta: 2 days, 3:48:35 time: 2.0665 data_time: 0.0995 memory: 11628 grad_norm: 0.8497 loss: 0.2765 instance_segmentation_loss_cls: 0.0511 instance_segmentation_loss_mask: 0.0223 instance_segmentation_loss_dice: 0.2030 2024/08/15 10:05:34 - mmengine - INFO - Iter(train) [ 29900/120000] base_lr: 1.7119e-04 lr: 1.7381e-05 eta: 2 days, 3:46:41 time: 2.0664 data_time: 0.0994 memory: 11992 grad_norm: 0.8498 loss: 0.2764 instance_segmentation_loss_cls: 0.0511 instance_segmentation_loss_mask: 0.0223 instance_segmentation_loss_dice: 0.2030 2024/08/15 10:07:16 - mmengine - INFO - Iter(train) [ 29950/120000] base_lr: 1.7110e-04 lr: 1.7372e-05 eta: 2 days, 3:44:41 time: 2.0660 data_time: 0.0994 memory: 11619 grad_norm: 0.8496 loss: 0.2768 instance_segmentation_loss_cls: 0.0511 instance_segmentation_loss_mask: 0.0224 instance_segmentation_loss_dice: 0.2033 2024/08/15 10:08:59 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 10:08:59 - mmengine - INFO - Iter(train) [ 30000/120000] base_lr: 1.7101e-04 lr: 1.7364e-05 eta: 2 days, 3:42:46 time: 2.0659 data_time: 0.0995 memory: 11587 grad_norm: 0.8495 loss: 0.2771 instance_segmentation_loss_cls: 0.0512 instance_segmentation_loss_mask: 0.0224 instance_segmentation_loss_dice: 0.2036 2024/08/15 10:08:59 - mmengine - INFO - Saving checkpoint at 30000 iterations 2024/08/15 10:09:27 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:27 time: 0.5260 data_time: 0.0249 memory: 5705 2024/08/15 10:09:50 - mmengine - INFO - Iter(val) [100/625] eta: 0:04:02 time: 0.5251 data_time: 0.0248 memory: 5705 2024/08/15 10:10:12 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:36 time: 0.5239 data_time: 0.0246 memory: 5705 2024/08/15 10:10:35 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:13 time: 0.5229 data_time: 0.0246 memory: 5705 2024/08/15 10:10:58 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:50 time: 0.5219 data_time: 0.0245 memory: 5705 2024/08/15 10:11:21 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:28 time: 0.5211 data_time: 0.0244 memory: 5705 2024/08/15 10:11:44 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:05 time: 0.5202 data_time: 0.0243 memory: 5705 2024/08/15 10:12:07 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:42 time: 0.5194 data_time: 0.0241 memory: 5705 2024/08/15 10:12:29 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:19 time: 0.5186 data_time: 0.0240 memory: 5705 2024/08/15 10:12:52 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:56 time: 0.5176 data_time: 0.0239 memory: 5705 2024/08/15 10:13:14 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:34 time: 0.5168 data_time: 0.0238 memory: 5705 2024/08/15 10:13:37 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.5161 data_time: 0.0238 memory: 5705 2024/08/15 10:13:56 - mmengine - INFO - Evaluating segm... 2024/08/15 10:14:23 - mmengine - INFO - segm_mAP_copypaste: 0.357 0.551 0.385 0.170 0.405 0.537 2024/08/15 10:14:24 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.3570 coco/segm_mAP_50: 0.5510 coco/segm_mAP_75: 0.3850 coco/segm_mAP_s: 0.1700 coco/segm_mAP_m: 0.4050 coco/segm_mAP_l: 0.5370 data_time: 0.0177 time: 0.4554 2024/08/15 10:16:06 - mmengine - INFO - Iter(train) [ 30050/120000] base_lr: 1.7091e-04 lr: 1.7356e-05 eta: 2 days, 3:51:09 time: 2.0735 data_time: 0.1071 memory: 11540 grad_norm: 0.8493 loss: 0.2766 instance_segmentation_loss_cls: 0.0511 instance_segmentation_loss_mask: 0.0223 instance_segmentation_loss_dice: 0.2032 2024/08/15 10:17:48 - mmengine - INFO - Iter(train) [ 30100/120000] base_lr: 1.7082e-04 lr: 1.7347e-05 eta: 2 days, 3:49:00 time: 2.0733 data_time: 0.1072 memory: 11972 grad_norm: 0.8495 loss: 0.2764 instance_segmentation_loss_cls: 0.0511 instance_segmentation_loss_mask: 0.0223 instance_segmentation_loss_dice: 0.2030 2024/08/15 10:19:31 - mmengine - INFO - Iter(train) [ 30150/120000] base_lr: 1.7073e-04 lr: 1.7339e-05 eta: 2 days, 3:46:54 time: 2.0730 data_time: 0.1072 memory: 11889 grad_norm: 0.8489 loss: 0.2765 instance_segmentation_loss_cls: 0.0511 instance_segmentation_loss_mask: 0.0223 instance_segmentation_loss_dice: 0.2032 2024/08/15 10:21:14 - mmengine - INFO - Iter(train) [ 30200/120000] base_lr: 1.7064e-04 lr: 1.7331e-05 eta: 2 days, 3:44:58 time: 2.0731 data_time: 0.1075 memory: 11824 grad_norm: 0.8483 loss: 0.2770 instance_segmentation_loss_cls: 0.0511 instance_segmentation_loss_mask: 0.0223 instance_segmentation_loss_dice: 0.2035 2024/08/15 10:22:56 - mmengine - INFO - Iter(train) [ 30250/120000] base_lr: 1.7055e-04 lr: 1.7322e-05 eta: 2 days, 3:42:42 time: 2.0729 data_time: 0.1073 memory: 11677 grad_norm: 0.8483 loss: 0.2765 instance_segmentation_loss_cls: 0.0511 instance_segmentation_loss_mask: 0.0223 instance_segmentation_loss_dice: 0.2031 2024/08/15 10:24:38 - mmengine - INFO - Iter(train) [ 30300/120000] base_lr: 1.7045e-04 lr: 1.7314e-05 eta: 2 days, 3:40:42 time: 2.0731 data_time: 0.1071 memory: 11900 grad_norm: 0.8479 loss: 0.2760 instance_segmentation_loss_cls: 0.0510 instance_segmentation_loss_mask: 0.0222 instance_segmentation_loss_dice: 0.2028 2024/08/15 10:26:21 - mmengine - INFO - Iter(train) [ 30350/120000] base_lr: 1.7036e-04 lr: 1.7306e-05 eta: 2 days, 3:38:32 time: 2.0728 data_time: 0.1073 memory: 11671 grad_norm: 0.8482 loss: 0.2761 instance_segmentation_loss_cls: 0.0510 instance_segmentation_loss_mask: 0.0222 instance_segmentation_loss_dice: 0.2029 2024/08/15 10:28:03 - mmengine - INFO - Iter(train) [ 30400/120000] base_lr: 1.7027e-04 lr: 1.7297e-05 eta: 2 days, 3:36:30 time: 2.0725 data_time: 0.1073 memory: 11736 grad_norm: 0.8482 loss: 0.2761 instance_segmentation_loss_cls: 0.0510 instance_segmentation_loss_mask: 0.0222 instance_segmentation_loss_dice: 0.2029 2024/08/15 10:29:46 - mmengine - INFO - Iter(train) [ 30450/120000] base_lr: 1.7018e-04 lr: 1.7289e-05 eta: 2 days, 3:34:24 time: 2.0722 data_time: 0.1076 memory: 12347 grad_norm: 0.8474 loss: 0.2763 instance_segmentation_loss_cls: 0.0510 instance_segmentation_loss_mask: 0.0222 instance_segmentation_loss_dice: 0.2031 2024/08/15 10:31:27 - mmengine - INFO - Iter(train) [ 30500/120000] base_lr: 1.7008e-04 lr: 1.7280e-05 eta: 2 days, 3:32:01 time: 2.0715 data_time: 0.1077 memory: 11660 grad_norm: 0.8467 loss: 0.2767 instance_segmentation_loss_cls: 0.0510 instance_segmentation_loss_mask: 0.0222 instance_segmentation_loss_dice: 0.2035 2024/08/15 10:33:08 - mmengine - INFO - Iter(train) [ 30550/120000] base_lr: 1.6999e-04 lr: 1.7272e-05 eta: 2 days, 3:29:35 time: 2.0710 data_time: 0.1077 memory: 11697 grad_norm: 0.8466 loss: 0.2765 instance_segmentation_loss_cls: 0.0509 instance_segmentation_loss_mask: 0.0222 instance_segmentation_loss_dice: 0.2034 2024/08/15 10:34:49 - mmengine - INFO - Iter(train) [ 30600/120000] base_lr: 1.6990e-04 lr: 1.7263e-05 eta: 2 days, 3:27:15 time: 2.0705 data_time: 0.1076 memory: 11771 grad_norm: 0.8465 loss: 0.2762 instance_segmentation_loss_cls: 0.0509 instance_segmentation_loss_mask: 0.0221 instance_segmentation_loss_dice: 0.2033 2024/08/15 10:36:31 - mmengine - INFO - Iter(train) [ 30650/120000] base_lr: 1.6980e-04 lr: 1.7255e-05 eta: 2 days, 3:25:10 time: 2.0703 data_time: 0.1077 memory: 11832 grad_norm: 0.8456 loss: 0.2764 instance_segmentation_loss_cls: 0.0509 instance_segmentation_loss_mask: 0.0221 instance_segmentation_loss_dice: 0.2035 2024/08/15 10:38:13 - mmengine - INFO - Iter(train) [ 30700/120000] base_lr: 1.6971e-04 lr: 1.7246e-05 eta: 2 days, 3:22:52 time: 2.0697 data_time: 0.1076 memory: 11746 grad_norm: 0.8455 loss: 0.2762 instance_segmentation_loss_cls: 0.0508 instance_segmentation_loss_mask: 0.0220 instance_segmentation_loss_dice: 0.2033 2024/08/15 10:39:54 - mmengine - INFO - Iter(train) [ 30750/120000] base_lr: 1.6962e-04 lr: 1.7238e-05 eta: 2 days, 3:20:35 time: 2.0692 data_time: 0.1078 memory: 11734 grad_norm: 0.8456 loss: 0.2763 instance_segmentation_loss_cls: 0.0508 instance_segmentation_loss_mask: 0.0220 instance_segmentation_loss_dice: 0.2036 2024/08/15 10:41:36 - mmengine - INFO - Iter(train) [ 30800/120000] base_lr: 1.6952e-04 lr: 1.7229e-05 eta: 2 days, 3:18:18 time: 2.0686 data_time: 0.1081 memory: 11844 grad_norm: 0.8454 loss: 0.2770 instance_segmentation_loss_cls: 0.0508 instance_segmentation_loss_mask: 0.0220 instance_segmentation_loss_dice: 0.2041 2024/08/15 10:43:17 - mmengine - INFO - Iter(train) [ 30850/120000] base_lr: 1.6943e-04 lr: 1.7221e-05 eta: 2 days, 3:16:08 time: 2.0683 data_time: 0.1084 memory: 11701 grad_norm: 0.8447 loss: 0.2772 instance_segmentation_loss_cls: 0.0509 instance_segmentation_loss_mask: 0.0220 instance_segmentation_loss_dice: 0.2043 2024/08/15 10:44:59 - mmengine - INFO - Iter(train) [ 30900/120000] base_lr: 1.6934e-04 lr: 1.7212e-05 eta: 2 days, 3:13:53 time: 2.0678 data_time: 0.1084 memory: 11897 grad_norm: 0.8442 loss: 0.2773 instance_segmentation_loss_cls: 0.0509 instance_segmentation_loss_mask: 0.0220 instance_segmentation_loss_dice: 0.2044 2024/08/15 10:46:40 - mmengine - INFO - Iter(train) [ 30950/120000] base_lr: 1.6924e-04 lr: 1.7204e-05 eta: 2 days, 3:11:37 time: 2.0674 data_time: 0.1082 memory: 11919 grad_norm: 0.8441 loss: 0.2770 instance_segmentation_loss_cls: 0.0508 instance_segmentation_loss_mask: 0.0220 instance_segmentation_loss_dice: 0.2043 2024/08/15 10:48:22 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 10:48:22 - mmengine - INFO - Iter(train) [ 31000/120000] base_lr: 1.6915e-04 lr: 1.7195e-05 eta: 2 days, 3:09:25 time: 2.0671 data_time: 0.1081 memory: 11830 grad_norm: 0.8442 loss: 0.2769 instance_segmentation_loss_cls: 0.0507 instance_segmentation_loss_mask: 0.0220 instance_segmentation_loss_dice: 0.2042 2024/08/15 10:48:22 - mmengine - INFO - Saving checkpoint at 31000 iterations 2024/08/15 10:50:08 - mmengine - INFO - Iter(train) [ 31050/120000] base_lr: 1.6905e-04 lr: 1.7187e-05 eta: 2 days, 3:08:25 time: 2.0665 data_time: 0.1080 memory: 11754 grad_norm: 0.8437 loss: 0.2766 instance_segmentation_loss_cls: 0.0507 instance_segmentation_loss_mask: 0.0220 instance_segmentation_loss_dice: 0.2039 2024/08/15 10:51:50 - mmengine - INFO - Iter(train) [ 31100/120000] base_lr: 1.6896e-04 lr: 1.7178e-05 eta: 2 days, 3:06:21 time: 2.0663 data_time: 0.1081 memory: 11757 grad_norm: 0.8436 loss: 0.2768 instance_segmentation_loss_cls: 0.0507 instance_segmentation_loss_mask: 0.0220 instance_segmentation_loss_dice: 0.2041 2024/08/15 10:53:32 - mmengine - INFO - Iter(train) [ 31150/120000] base_lr: 1.6887e-04 lr: 1.7170e-05 eta: 2 days, 3:04:17 time: 2.0659 data_time: 0.1081 memory: 11598 grad_norm: 0.8433 loss: 0.2769 instance_segmentation_loss_cls: 0.0507 instance_segmentation_loss_mask: 0.0220 instance_segmentation_loss_dice: 0.2042 2024/08/15 10:55:15 - mmengine - INFO - Iter(train) [ 31200/120000] base_lr: 1.6877e-04 lr: 1.7161e-05 eta: 2 days, 3:02:15 time: 2.0655 data_time: 0.1082 memory: 11811 grad_norm: 0.8436 loss: 0.2767 instance_segmentation_loss_cls: 0.0507 instance_segmentation_loss_mask: 0.0219 instance_segmentation_loss_dice: 0.2041 2024/08/15 10:56:57 - mmengine - INFO - Iter(train) [ 31250/120000] base_lr: 1.6868e-04 lr: 1.7153e-05 eta: 2 days, 3:00:18 time: 2.0652 data_time: 0.1082 memory: 11833 grad_norm: 0.8434 loss: 0.2764 instance_segmentation_loss_cls: 0.0507 instance_segmentation_loss_mask: 0.0219 instance_segmentation_loss_dice: 0.2039 2024/08/15 10:58:40 - mmengine - INFO - Iter(train) [ 31300/120000] base_lr: 1.6858e-04 lr: 1.7144e-05 eta: 2 days, 2:58:25 time: 2.0650 data_time: 0.1079 memory: 11885 grad_norm: 0.8429 loss: 0.2758 instance_segmentation_loss_cls: 0.0506 instance_segmentation_loss_mask: 0.0219 instance_segmentation_loss_dice: 0.2034 2024/08/15 11:00:22 - mmengine - INFO - Iter(train) [ 31350/120000] base_lr: 1.6849e-04 lr: 1.7135e-05 eta: 2 days, 2:56:18 time: 2.0647 data_time: 0.1079 memory: 11774 grad_norm: 0.8422 loss: 0.2761 instance_segmentation_loss_cls: 0.0506 instance_segmentation_loss_mask: 0.0219 instance_segmentation_loss_dice: 0.2035 2024/08/15 11:02:03 - mmengine - INFO - Iter(train) [ 31400/120000] base_lr: 1.6839e-04 lr: 1.7127e-05 eta: 2 days, 2:54:14 time: 2.0642 data_time: 0.1080 memory: 12100 grad_norm: 0.8419 loss: 0.2762 instance_segmentation_loss_cls: 0.0507 instance_segmentation_loss_mask: 0.0219 instance_segmentation_loss_dice: 0.2037 2024/08/15 11:03:46 - mmengine - INFO - Iter(train) [ 31450/120000] base_lr: 1.6830e-04 lr: 1.7118e-05 eta: 2 days, 2:52:13 time: 2.0640 data_time: 0.1081 memory: 11597 grad_norm: 0.8409 loss: 0.2764 instance_segmentation_loss_cls: 0.0507 instance_segmentation_loss_mask: 0.0220 instance_segmentation_loss_dice: 0.2038 2024/08/15 11:05:27 - mmengine - INFO - Iter(train) [ 31500/120000] base_lr: 1.6820e-04 lr: 1.7109e-05 eta: 2 days, 2:50:06 time: 2.0635 data_time: 0.1082 memory: 11781 grad_norm: 0.8410 loss: 0.2771 instance_segmentation_loss_cls: 0.0507 instance_segmentation_loss_mask: 0.0220 instance_segmentation_loss_dice: 0.2044 2024/08/15 11:07:09 - mmengine - INFO - Iter(train) [ 31550/120000] base_lr: 1.6811e-04 lr: 1.7101e-05 eta: 2 days, 2:48:02 time: 2.0629 data_time: 0.1080 memory: 11884 grad_norm: 0.8407 loss: 0.2767 instance_segmentation_loss_cls: 0.0507 instance_segmentation_loss_mask: 0.0219 instance_segmentation_loss_dice: 0.2041 2024/08/15 11:08:51 - mmengine - INFO - Iter(train) [ 31600/120000] base_lr: 1.6801e-04 lr: 1.7092e-05 eta: 2 days, 2:46:03 time: 2.0627 data_time: 0.1081 memory: 12077 grad_norm: 0.8400 loss: 0.2768 instance_segmentation_loss_cls: 0.0507 instance_segmentation_loss_mask: 0.0219 instance_segmentation_loss_dice: 0.2041 2024/08/15 11:10:34 - mmengine - INFO - Iter(train) [ 31650/120000] base_lr: 1.6792e-04 lr: 1.7083e-05 eta: 2 days, 2:44:06 time: 2.0626 data_time: 0.1082 memory: 11674 grad_norm: 0.8392 loss: 0.2768 instance_segmentation_loss_cls: 0.0507 instance_segmentation_loss_mask: 0.0219 instance_segmentation_loss_dice: 0.2042 2024/08/15 11:12:16 - mmengine - INFO - Iter(train) [ 31700/120000] base_lr: 1.6782e-04 lr: 1.7075e-05 eta: 2 days, 2:42:13 time: 2.0624 data_time: 0.1083 memory: 11776 grad_norm: 0.8385 loss: 0.2769 instance_segmentation_loss_cls: 0.0506 instance_segmentation_loss_mask: 0.0218 instance_segmentation_loss_dice: 0.2044 2024/08/15 11:13:58 - mmengine - INFO - Iter(train) [ 31750/120000] base_lr: 1.6773e-04 lr: 1.7066e-05 eta: 2 days, 2:40:09 time: 2.0619 data_time: 0.1082 memory: 11589 grad_norm: 0.8391 loss: 0.2759 instance_segmentation_loss_cls: 0.0505 instance_segmentation_loss_mask: 0.0218 instance_segmentation_loss_dice: 0.2036 2024/08/15 11:15:40 - mmengine - INFO - Iter(train) [ 31800/120000] base_lr: 1.6763e-04 lr: 1.7057e-05 eta: 2 days, 2:38:09 time: 2.0616 data_time: 0.1080 memory: 11631 grad_norm: 0.8391 loss: 0.2751 instance_segmentation_loss_cls: 0.0504 instance_segmentation_loss_mask: 0.0218 instance_segmentation_loss_dice: 0.2030 2024/08/15 11:17:23 - mmengine - INFO - Iter(train) [ 31850/120000] base_lr: 1.6753e-04 lr: 1.7049e-05 eta: 2 days, 2:36:17 time: 2.0614 data_time: 0.1083 memory: 11784 grad_norm: 0.8385 loss: 0.2756 instance_segmentation_loss_cls: 0.0504 instance_segmentation_loss_mask: 0.0218 instance_segmentation_loss_dice: 0.2034 2024/08/15 11:19:05 - mmengine - INFO - Iter(train) [ 31900/120000] base_lr: 1.6744e-04 lr: 1.7040e-05 eta: 2 days, 2:34:23 time: 2.0612 data_time: 0.1084 memory: 12079 grad_norm: 0.8382 loss: 0.2756 instance_segmentation_loss_cls: 0.0503 instance_segmentation_loss_mask: 0.0218 instance_segmentation_loss_dice: 0.2035 2024/08/15 11:20:48 - mmengine - INFO - Iter(train) [ 31950/120000] base_lr: 1.6734e-04 lr: 1.7031e-05 eta: 2 days, 2:32:27 time: 2.0611 data_time: 0.1081 memory: 11632 grad_norm: 0.8382 loss: 0.2746 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_mask: 0.0218 instance_segmentation_loss_dice: 0.2027 2024/08/15 11:22:30 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 11:22:30 - mmengine - INFO - Iter(train) [ 32000/120000] base_lr: 1.6725e-04 lr: 1.7022e-05 eta: 2 days, 2:30:25 time: 2.0606 data_time: 0.1081 memory: 11548 grad_norm: 0.8382 loss: 0.2743 instance_segmentation_loss_cls: 0.0501 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2025 2024/08/15 11:22:30 - mmengine - INFO - Saving checkpoint at 32000 iterations 2024/08/15 11:24:16 - mmengine - INFO - Iter(train) [ 32050/120000] base_lr: 1.6715e-04 lr: 1.7014e-05 eta: 2 days, 2:29:26 time: 2.0604 data_time: 0.1083 memory: 12320 grad_norm: 0.8387 loss: 0.2743 instance_segmentation_loss_cls: 0.0501 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2024 2024/08/15 11:25:59 - mmengine - INFO - Iter(train) [ 32100/120000] base_lr: 1.6705e-04 lr: 1.7005e-05 eta: 2 days, 2:27:28 time: 2.0605 data_time: 0.1084 memory: 11771 grad_norm: 0.8379 loss: 0.2747 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2028 2024/08/15 11:27:40 - mmengine - INFO - Iter(train) [ 32150/120000] base_lr: 1.6696e-04 lr: 1.6996e-05 eta: 2 days, 2:25:25 time: 2.0601 data_time: 0.1086 memory: 12035 grad_norm: 0.8372 loss: 0.2748 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2029 2024/08/15 11:29:22 - mmengine - INFO - Iter(train) [ 32200/120000] base_lr: 1.6686e-04 lr: 1.6987e-05 eta: 2 days, 2:23:26 time: 2.0599 data_time: 0.1088 memory: 11918 grad_norm: 0.8377 loss: 0.2750 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_mask: 0.0218 instance_segmentation_loss_dice: 0.2031 2024/08/15 11:31:04 - mmengine - INFO - Iter(train) [ 32250/120000] base_lr: 1.6676e-04 lr: 1.6978e-05 eta: 2 days, 2:21:23 time: 2.0598 data_time: 0.1089 memory: 11682 grad_norm: 0.8377 loss: 0.2744 instance_segmentation_loss_cls: 0.0501 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2026 2024/08/15 11:32:46 - mmengine - INFO - Iter(train) [ 32300/120000] base_lr: 1.6667e-04 lr: 1.6970e-05 eta: 2 days, 2:19:26 time: 2.0598 data_time: 0.1090 memory: 11878 grad_norm: 0.8375 loss: 0.2752 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_mask: 0.0218 instance_segmentation_loss_dice: 0.2032 2024/08/15 11:34:28 - mmengine - INFO - Iter(train) [ 32350/120000] base_lr: 1.6657e-04 lr: 1.6961e-05 eta: 2 days, 2:17:24 time: 2.0595 data_time: 0.1090 memory: 11970 grad_norm: 0.8373 loss: 0.2750 instance_segmentation_loss_cls: 0.0501 instance_segmentation_loss_mask: 0.0219 instance_segmentation_loss_dice: 0.2029 2024/08/15 11:36:09 - mmengine - INFO - Iter(train) [ 32400/120000] base_lr: 1.6647e-04 lr: 1.6952e-05 eta: 2 days, 2:15:18 time: 2.0592 data_time: 0.1089 memory: 11767 grad_norm: 0.8375 loss: 0.2748 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_mask: 0.0218 instance_segmentation_loss_dice: 0.2028 2024/08/15 11:37:52 - mmengine - INFO - Iter(train) [ 32450/120000] base_lr: 1.6637e-04 lr: 1.6943e-05 eta: 2 days, 2:13:22 time: 2.0591 data_time: 0.1091 memory: 12342 grad_norm: 0.8373 loss: 0.2747 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_mask: 0.0218 instance_segmentation_loss_dice: 0.2027 2024/08/15 11:39:34 - mmengine - INFO - Iter(train) [ 32500/120000] base_lr: 1.6628e-04 lr: 1.6934e-05 eta: 2 days, 2:11:34 time: 2.0592 data_time: 0.1092 memory: 12413 grad_norm: 0.8368 loss: 0.2752 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_mask: 0.0218 instance_segmentation_loss_dice: 0.2032 2024/08/15 11:41:18 - mmengine - INFO - Iter(train) [ 32550/120000] base_lr: 1.6618e-04 lr: 1.6925e-05 eta: 2 days, 2:09:53 time: 2.0592 data_time: 0.1095 memory: 11884 grad_norm: 0.8361 loss: 0.2757 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_mask: 0.0218 instance_segmentation_loss_dice: 0.2037 2024/08/15 11:43:01 - mmengine - INFO - Iter(train) [ 32600/120000] base_lr: 1.6608e-04 lr: 1.6917e-05 eta: 2 days, 2:08:04 time: 2.0593 data_time: 0.1095 memory: 12120 grad_norm: 0.8360 loss: 0.2759 instance_segmentation_loss_cls: 0.0503 instance_segmentation_loss_mask: 0.0218 instance_segmentation_loss_dice: 0.2038 2024/08/15 11:44:43 - mmengine - INFO - Iter(train) [ 32650/120000] base_lr: 1.6598e-04 lr: 1.6908e-05 eta: 2 days, 2:06:05 time: 2.0590 data_time: 0.1093 memory: 11607 grad_norm: 0.8362 loss: 0.2752 instance_segmentation_loss_cls: 0.0501 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2034 2024/08/15 11:46:24 - mmengine - INFO - Iter(train) [ 32700/120000] base_lr: 1.6589e-04 lr: 1.6899e-05 eta: 2 days, 2:04:02 time: 2.0586 data_time: 0.1093 memory: 11681 grad_norm: 0.8357 loss: 0.2749 instance_segmentation_loss_cls: 0.0501 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2031 2024/08/15 11:48:06 - mmengine - INFO - Iter(train) [ 32750/120000] base_lr: 1.6579e-04 lr: 1.6890e-05 eta: 2 days, 2:02:03 time: 2.0584 data_time: 0.1092 memory: 11953 grad_norm: 0.8354 loss: 0.2745 instance_segmentation_loss_cls: 0.0501 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2027 2024/08/15 11:49:47 - mmengine - INFO - Iter(train) [ 32800/120000] base_lr: 1.6569e-04 lr: 1.6881e-05 eta: 2 days, 1:59:59 time: 2.0581 data_time: 0.1092 memory: 11646 grad_norm: 0.8352 loss: 0.2746 instance_segmentation_loss_cls: 0.0501 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2028 2024/08/15 11:51:29 - mmengine - INFO - Iter(train) [ 32850/120000] base_lr: 1.6559e-04 lr: 1.6872e-05 eta: 2 days, 1:58:04 time: 2.0580 data_time: 0.1093 memory: 11876 grad_norm: 0.8355 loss: 0.2745 instance_segmentation_loss_cls: 0.0501 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2027 2024/08/15 11:53:11 - mmengine - INFO - Iter(train) [ 32900/120000] base_lr: 1.6549e-04 lr: 1.6863e-05 eta: 2 days, 1:56:03 time: 2.0577 data_time: 0.1095 memory: 11684 grad_norm: 0.8355 loss: 0.2754 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2035 2024/08/15 11:54:53 - mmengine - INFO - Iter(train) [ 32950/120000] base_lr: 1.6540e-04 lr: 1.6854e-05 eta: 2 days, 1:54:09 time: 2.0575 data_time: 0.1096 memory: 11696 grad_norm: 0.8350 loss: 0.2759 instance_segmentation_loss_cls: 0.0503 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2039 2024/08/15 11:56:35 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 11:56:35 - mmengine - INFO - Iter(train) [ 33000/120000] base_lr: 1.6530e-04 lr: 1.6845e-05 eta: 2 days, 1:52:14 time: 2.0574 data_time: 0.1098 memory: 11736 grad_norm: 0.8341 loss: 0.2758 instance_segmentation_loss_cls: 0.0503 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2038 2024/08/15 11:56:35 - mmengine - INFO - Saving checkpoint at 33000 iterations 2024/08/15 11:58:21 - mmengine - INFO - Iter(train) [ 33050/120000] base_lr: 1.6520e-04 lr: 1.6836e-05 eta: 2 days, 1:51:03 time: 2.0568 data_time: 0.1097 memory: 11653 grad_norm: 0.8343 loss: 0.2758 instance_segmentation_loss_cls: 0.0503 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2038 2024/08/15 12:00:03 - mmengine - INFO - Iter(train) [ 33100/120000] base_lr: 1.6510e-04 lr: 1.6827e-05 eta: 2 days, 1:49:05 time: 2.0564 data_time: 0.1098 memory: 11923 grad_norm: 0.8343 loss: 0.2762 instance_segmentation_loss_cls: 0.0503 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2042 2024/08/15 12:01:45 - mmengine - INFO - Iter(train) [ 33150/120000] base_lr: 1.6500e-04 lr: 1.6818e-05 eta: 2 days, 1:47:05 time: 2.0559 data_time: 0.1099 memory: 11634 grad_norm: 0.8341 loss: 0.2763 instance_segmentation_loss_cls: 0.0503 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2043 2024/08/15 12:03:27 - mmengine - INFO - Iter(train) [ 33200/120000] base_lr: 1.6490e-04 lr: 1.6809e-05 eta: 2 days, 1:45:14 time: 2.0558 data_time: 0.1100 memory: 11659 grad_norm: 0.8335 loss: 0.2760 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2042 2024/08/15 12:05:09 - mmengine - INFO - Iter(train) [ 33250/120000] base_lr: 1.6480e-04 lr: 1.6800e-05 eta: 2 days, 1:43:18 time: 2.0556 data_time: 0.1102 memory: 11811 grad_norm: 0.8327 loss: 0.2760 instance_segmentation_loss_cls: 0.0502 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2042 2024/08/15 12:06:51 - mmengine - INFO - Iter(train) [ 33300/120000] base_lr: 1.6470e-04 lr: 1.6791e-05 eta: 2 days, 1:41:19 time: 2.0553 data_time: 0.1101 memory: 11775 grad_norm: 0.8331 loss: 0.2757 instance_segmentation_loss_cls: 0.0501 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2040 2024/08/15 12:08:32 - mmengine - INFO - Iter(train) [ 33350/120000] base_lr: 1.6460e-04 lr: 1.6782e-05 eta: 2 days, 1:39:15 time: 2.0549 data_time: 0.1101 memory: 11673 grad_norm: 0.8320 loss: 0.2757 instance_segmentation_loss_cls: 0.0501 instance_segmentation_loss_mask: 0.0217 instance_segmentation_loss_dice: 0.2040 2024/08/15 12:10:14 - mmengine - INFO - Iter(train) [ 33400/120000] base_lr: 1.6451e-04 lr: 1.6773e-05 eta: 2 days, 1:37:20 time: 2.0547 data_time: 0.1101 memory: 11585 grad_norm: 0.8316 loss: 0.2758 instance_segmentation_loss_cls: 0.0501 instance_segmentation_loss_mask: 0.0216 instance_segmentation_loss_dice: 0.2041 2024/08/15 12:11:57 - mmengine - INFO - Iter(train) [ 33450/120000] base_lr: 1.6441e-04 lr: 1.6764e-05 eta: 2 days, 1:35:30 time: 2.0547 data_time: 0.1101 memory: 11614 grad_norm: 0.8311 loss: 0.2757 instance_segmentation_loss_cls: 0.0500 instance_segmentation_loss_mask: 0.0216 instance_segmentation_loss_dice: 0.2040 2024/08/15 12:13:38 - mmengine - INFO - Iter(train) [ 33500/120000] base_lr: 1.6431e-04 lr: 1.6755e-05 eta: 2 days, 1:33:31 time: 2.0543 data_time: 0.1102 memory: 11873 grad_norm: 0.8313 loss: 0.2758 instance_segmentation_loss_cls: 0.0501 instance_segmentation_loss_mask: 0.0216 instance_segmentation_loss_dice: 0.2041 2024/08/15 12:15:20 - mmengine - INFO - Iter(train) [ 33550/120000] base_lr: 1.6421e-04 lr: 1.6746e-05 eta: 2 days, 1:31:29 time: 2.0540 data_time: 0.1102 memory: 11658 grad_norm: 0.8316 loss: 0.2761 instance_segmentation_loss_cls: 0.0501 instance_segmentation_loss_mask: 0.0216 instance_segmentation_loss_dice: 0.2044 2024/08/15 12:17:02 - mmengine - INFO - Iter(train) [ 33600/120000] base_lr: 1.6411e-04 lr: 1.6737e-05 eta: 2 days, 1:29:36 time: 2.0540 data_time: 0.1103 memory: 11916 grad_norm: 0.8314 loss: 0.2762 instance_segmentation_loss_cls: 0.0500 instance_segmentation_loss_mask: 0.0216 instance_segmentation_loss_dice: 0.2046 2024/08/15 12:18:43 - mmengine - INFO - Iter(train) [ 33650/120000] base_lr: 1.6401e-04 lr: 1.6728e-05 eta: 2 days, 1:27:36 time: 2.0536 data_time: 0.1102 memory: 11764 grad_norm: 0.8315 loss: 0.2762 instance_segmentation_loss_cls: 0.0500 instance_segmentation_loss_mask: 0.0216 instance_segmentation_loss_dice: 0.2046 2024/08/15 12:20:25 - mmengine - INFO - Iter(train) [ 33700/120000] base_lr: 1.6391e-04 lr: 1.6719e-05 eta: 2 days, 1:25:38 time: 2.0531 data_time: 0.1102 memory: 11756 grad_norm: 0.8313 loss: 0.2759 instance_segmentation_loss_cls: 0.0499 instance_segmentation_loss_mask: 0.0216 instance_segmentation_loss_dice: 0.2045 2024/08/15 12:22:07 - mmengine - INFO - Iter(train) [ 33750/120000] base_lr: 1.6381e-04 lr: 1.6710e-05 eta: 2 days, 1:23:46 time: 2.0527 data_time: 0.1104 memory: 11854 grad_norm: 0.8309 loss: 0.2767 instance_segmentation_loss_cls: 0.0499 instance_segmentation_loss_mask: 0.0216 instance_segmentation_loss_dice: 0.2052 2024/08/15 12:23:49 - mmengine - INFO - Iter(train) [ 33800/120000] base_lr: 1.6371e-04 lr: 1.6701e-05 eta: 2 days, 1:21:55 time: 2.0527 data_time: 0.1106 memory: 11537 grad_norm: 0.8305 loss: 0.2765 instance_segmentation_loss_cls: 0.0499 instance_segmentation_loss_mask: 0.0216 instance_segmentation_loss_dice: 0.2051 2024/08/15 12:25:30 - mmengine - INFO - Iter(train) [ 33850/120000] base_lr: 1.6361e-04 lr: 1.6691e-05 eta: 2 days, 1:19:52 time: 2.0523 data_time: 0.1104 memory: 11537 grad_norm: 0.8308 loss: 0.2762 instance_segmentation_loss_cls: 0.0498 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2048 2024/08/15 12:27:12 - mmengine - INFO - Iter(train) [ 33900/120000] base_lr: 1.6351e-04 lr: 1.6682e-05 eta: 2 days, 1:17:58 time: 2.0521 data_time: 0.1105 memory: 11826 grad_norm: 0.8307 loss: 0.2759 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2047 2024/08/15 12:28:54 - mmengine - INFO - Iter(train) [ 33950/120000] base_lr: 1.6341e-04 lr: 1.6673e-05 eta: 2 days, 1:16:08 time: 2.0521 data_time: 0.1107 memory: 11924 grad_norm: 0.8308 loss: 0.2756 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2044 2024/08/15 12:30:36 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 12:30:36 - mmengine - INFO - Iter(train) [ 34000/120000] base_lr: 1.6330e-04 lr: 1.6664e-05 eta: 2 days, 1:14:08 time: 2.0517 data_time: 0.1107 memory: 11878 grad_norm: 0.8309 loss: 0.2754 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2043 2024/08/15 12:30:36 - mmengine - INFO - Saving checkpoint at 34000 iterations 2024/08/15 12:32:23 - mmengine - INFO - Iter(train) [ 34050/120000] base_lr: 1.6320e-04 lr: 1.6655e-05 eta: 2 days, 1:13:01 time: 2.0440 data_time: 0.1033 memory: 11583 grad_norm: 0.8306 loss: 0.2758 instance_segmentation_loss_cls: 0.0498 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2046 2024/08/15 12:34:05 - mmengine - INFO - Iter(train) [ 34100/120000] base_lr: 1.6310e-04 lr: 1.6646e-05 eta: 2 days, 1:11:09 time: 2.0439 data_time: 0.1033 memory: 11537 grad_norm: 0.8294 loss: 0.2758 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2046 2024/08/15 12:35:46 - mmengine - INFO - Iter(train) [ 34150/120000] base_lr: 1.6300e-04 lr: 1.6637e-05 eta: 2 days, 1:09:13 time: 2.0438 data_time: 0.1033 memory: 11581 grad_norm: 0.8293 loss: 0.2757 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2046 2024/08/15 12:37:28 - mmengine - INFO - Iter(train) [ 34200/120000] base_lr: 1.6290e-04 lr: 1.6627e-05 eta: 2 days, 1:07:18 time: 2.0435 data_time: 0.1033 memory: 11935 grad_norm: 0.8292 loss: 0.2762 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2051 2024/08/15 12:39:10 - mmengine - INFO - Iter(train) [ 34250/120000] base_lr: 1.6280e-04 lr: 1.6618e-05 eta: 2 days, 1:05:23 time: 2.0434 data_time: 0.1034 memory: 11876 grad_norm: 0.8290 loss: 0.2765 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2053 2024/08/15 12:40:52 - mmengine - INFO - Iter(train) [ 34300/120000] base_lr: 1.6270e-04 lr: 1.6609e-05 eta: 2 days, 1:03:30 time: 2.0433 data_time: 0.1034 memory: 11537 grad_norm: 0.8284 loss: 0.2767 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2055 2024/08/15 12:42:35 - mmengine - INFO - Iter(train) [ 34350/120000] base_lr: 1.6260e-04 lr: 1.6600e-05 eta: 2 days, 1:01:45 time: 2.0434 data_time: 0.1033 memory: 11634 grad_norm: 0.8275 loss: 0.2761 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2050 2024/08/15 12:44:17 - mmengine - INFO - Iter(train) [ 34400/120000] base_lr: 1.6250e-04 lr: 1.6591e-05 eta: 2 days, 0:59:56 time: 2.0434 data_time: 0.1033 memory: 11713 grad_norm: 0.8275 loss: 0.2762 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2051 2024/08/15 12:46:00 - mmengine - INFO - Iter(train) [ 34450/120000] base_lr: 1.6239e-04 lr: 1.6581e-05 eta: 2 days, 0:58:15 time: 2.0436 data_time: 0.1030 memory: 11859 grad_norm: 0.8274 loss: 0.2755 instance_segmentation_loss_cls: 0.0495 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2045 2024/08/15 12:47:43 - mmengine - INFO - Iter(train) [ 34500/120000] base_lr: 1.6229e-04 lr: 1.6572e-05 eta: 2 days, 0:56:27 time: 2.0439 data_time: 0.1030 memory: 11866 grad_norm: 0.8271 loss: 0.2753 instance_segmentation_loss_cls: 0.0495 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2044 2024/08/15 12:49:25 - mmengine - INFO - Iter(train) [ 34550/120000] base_lr: 1.6219e-04 lr: 1.6563e-05 eta: 2 days, 0:54:34 time: 2.0441 data_time: 0.1031 memory: 11773 grad_norm: 0.8274 loss: 0.2756 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2046 2024/08/15 12:51:07 - mmengine - INFO - Iter(train) [ 34600/120000] base_lr: 1.6209e-04 lr: 1.6554e-05 eta: 2 days, 0:52:44 time: 2.0444 data_time: 0.1032 memory: 11845 grad_norm: 0.8276 loss: 0.2764 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2053 2024/08/15 12:52:49 - mmengine - INFO - Iter(train) [ 34650/120000] base_lr: 1.6199e-04 lr: 1.6544e-05 eta: 2 days, 0:50:54 time: 2.0444 data_time: 0.1031 memory: 11824 grad_norm: 0.8276 loss: 0.2764 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2053 2024/08/15 12:54:31 - mmengine - INFO - Iter(train) [ 34700/120000] base_lr: 1.6188e-04 lr: 1.6535e-05 eta: 2 days, 0:49:02 time: 2.0445 data_time: 0.1031 memory: 12059 grad_norm: 0.8273 loss: 0.2764 instance_segmentation_loss_cls: 0.0497 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2052 2024/08/15 12:56:13 - mmengine - INFO - Iter(train) [ 34750/120000] base_lr: 1.6178e-04 lr: 1.6526e-05 eta: 2 days, 0:47:10 time: 2.0447 data_time: 0.1030 memory: 11537 grad_norm: 0.8265 loss: 0.2758 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2047 2024/08/15 12:57:55 - mmengine - INFO - Iter(train) [ 34800/120000] base_lr: 1.6168e-04 lr: 1.6516e-05 eta: 2 days, 0:45:19 time: 2.0448 data_time: 0.1030 memory: 11766 grad_norm: 0.8263 loss: 0.2756 instance_segmentation_loss_cls: 0.0496 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2046 2024/08/15 12:59:38 - mmengine - INFO - Iter(train) [ 34850/120000] base_lr: 1.6158e-04 lr: 1.6507e-05 eta: 2 days, 0:43:33 time: 2.0450 data_time: 0.1027 memory: 11771 grad_norm: 0.8270 loss: 0.2752 instance_segmentation_loss_cls: 0.0495 instance_segmentation_loss_mask: 0.0215 instance_segmentation_loss_dice: 0.2042 2024/08/15 13:01:20 - mmengine - INFO - Iter(train) [ 34900/120000] base_lr: 1.6147e-04 lr: 1.6498e-05 eta: 2 days, 0:41:43 time: 2.0452 data_time: 0.1026 memory: 11575 grad_norm: 0.8269 loss: 0.2746 instance_segmentation_loss_cls: 0.0495 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2038 2024/08/15 13:03:03 - mmengine - INFO - Iter(train) [ 34950/120000] base_lr: 1.6137e-04 lr: 1.6488e-05 eta: 2 days, 0:39:56 time: 2.0455 data_time: 0.1026 memory: 11996 grad_norm: 0.8268 loss: 0.2745 instance_segmentation_loss_cls: 0.0495 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2036 2024/08/15 13:04:45 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 13:04:45 - mmengine - INFO - Iter(train) [ 35000/120000] base_lr: 1.6127e-04 lr: 1.6479e-05 eta: 2 days, 0:38:06 time: 2.0457 data_time: 0.1026 memory: 11655 grad_norm: 0.8266 loss: 0.2747 instance_segmentation_loss_cls: 0.0495 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2038 2024/08/15 13:04:45 - mmengine - INFO - Saving checkpoint at 35000 iterations 2024/08/15 13:05:12 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:17 time: 0.5144 data_time: 0.0234 memory: 5705 2024/08/15 13:05:35 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:57 time: 0.5135 data_time: 0.0234 memory: 5705 2024/08/15 13:05:58 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:34 time: 0.5127 data_time: 0.0232 memory: 5705 2024/08/15 13:06:21 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:13 time: 0.5117 data_time: 0.0233 memory: 5705 2024/08/15 13:06:43 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:50 time: 0.5108 data_time: 0.0231 memory: 5705 2024/08/15 13:07:06 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:27 time: 0.5098 data_time: 0.0231 memory: 5705 2024/08/15 13:07:29 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:04 time: 0.5090 data_time: 0.0230 memory: 5705 2024/08/15 13:07:51 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:42 time: 0.5082 data_time: 0.0229 memory: 5705 2024/08/15 13:08:13 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:19 time: 0.5072 data_time: 0.0228 memory: 5705 2024/08/15 13:08:36 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:56 time: 0.5063 data_time: 0.0227 memory: 5705 2024/08/15 13:08:58 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:33 time: 0.5055 data_time: 0.0227 memory: 5705 2024/08/15 13:09:21 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.5047 data_time: 0.0227 memory: 5705 2024/08/15 13:09:40 - mmengine - INFO - Evaluating segm... 2024/08/15 13:10:07 - mmengine - INFO - segm_mAP_copypaste: 0.366 0.563 0.397 0.176 0.414 0.552 2024/08/15 13:10:08 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.3660 coco/segm_mAP_50: 0.5630 coco/segm_mAP_75: 0.3970 coco/segm_mAP_s: 0.1760 coco/segm_mAP_m: 0.4140 coco/segm_mAP_l: 0.5520 data_time: 0.0182 time: 0.4522 2024/08/15 13:11:49 - mmengine - INFO - Iter(train) [ 35050/120000] base_lr: 1.6117e-04 lr: 1.6470e-05 eta: 2 days, 0:41:05 time: 2.0532 data_time: 0.1103 memory: 11941 grad_norm: 0.8261 loss: 0.2748 instance_segmentation_loss_cls: 0.0495 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2039 2024/08/15 13:13:31 - mmengine - INFO - Iter(train) [ 35100/120000] base_lr: 1.6106e-04 lr: 1.6460e-05 eta: 2 days, 0:39:16 time: 2.0533 data_time: 0.1104 memory: 11932 grad_norm: 0.8253 loss: 0.2746 instance_segmentation_loss_cls: 0.0495 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2037 2024/08/15 13:15:13 - mmengine - INFO - Iter(train) [ 35150/120000] base_lr: 1.6096e-04 lr: 1.6451e-05 eta: 2 days, 0:37:22 time: 2.0532 data_time: 0.1104 memory: 11774 grad_norm: 0.8255 loss: 0.2743 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2035 2024/08/15 13:16:55 - mmengine - INFO - Iter(train) [ 35200/120000] base_lr: 1.6086e-04 lr: 1.6442e-05 eta: 2 days, 0:35:26 time: 2.0531 data_time: 0.1108 memory: 11893 grad_norm: 0.8247 loss: 0.2750 instance_segmentation_loss_cls: 0.0495 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2041 2024/08/15 13:18:37 - mmengine - INFO - Iter(train) [ 35250/120000] base_lr: 1.6075e-04 lr: 1.6432e-05 eta: 2 days, 0:33:37 time: 2.0530 data_time: 0.1108 memory: 12482 grad_norm: 0.8245 loss: 0.2751 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2042 2024/08/15 13:20:20 - mmengine - INFO - Iter(train) [ 35300/120000] base_lr: 1.6065e-04 lr: 1.6423e-05 eta: 2 days, 0:31:47 time: 2.0529 data_time: 0.1109 memory: 11691 grad_norm: 0.8251 loss: 0.2755 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2046 2024/08/15 13:22:02 - mmengine - INFO - Iter(train) [ 35350/120000] base_lr: 1.6055e-04 lr: 1.6413e-05 eta: 2 days, 0:30:00 time: 2.0532 data_time: 0.1109 memory: 11756 grad_norm: 0.8250 loss: 0.2753 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2046 2024/08/15 13:23:44 - mmengine - INFO - Iter(train) [ 35400/120000] base_lr: 1.6044e-04 lr: 1.6404e-05 eta: 2 days, 0:28:03 time: 2.0530 data_time: 0.1108 memory: 11882 grad_norm: 0.8252 loss: 0.2751 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2045 2024/08/15 13:25:26 - mmengine - INFO - Iter(train) [ 35450/120000] base_lr: 1.6034e-04 lr: 1.6395e-05 eta: 2 days, 0:26:12 time: 2.0530 data_time: 0.1109 memory: 11693 grad_norm: 0.8254 loss: 0.2751 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2045 2024/08/15 13:27:07 - mmengine - INFO - Iter(train) [ 35500/120000] base_lr: 1.6024e-04 lr: 1.6385e-05 eta: 2 days, 0:24:18 time: 2.0531 data_time: 0.1109 memory: 11832 grad_norm: 0.8256 loss: 0.2749 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2043 2024/08/15 13:28:49 - mmengine - INFO - Iter(train) [ 35550/120000] base_lr: 1.6013e-04 lr: 1.6376e-05 eta: 2 days, 0:22:26 time: 2.0531 data_time: 0.1110 memory: 11884 grad_norm: 0.8256 loss: 0.2752 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2046 2024/08/15 13:30:32 - mmengine - INFO - Iter(train) [ 35600/120000] base_lr: 1.6003e-04 lr: 1.6366e-05 eta: 2 days, 0:20:34 time: 2.0531 data_time: 0.1109 memory: 11984 grad_norm: 0.8260 loss: 0.2751 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2045 2024/08/15 13:32:13 - mmengine - INFO - Iter(train) [ 35650/120000] base_lr: 1.5992e-04 lr: 1.6357e-05 eta: 2 days, 0:18:40 time: 2.0529 data_time: 0.1109 memory: 11579 grad_norm: 0.8259 loss: 0.2750 instance_segmentation_loss_cls: 0.0492 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2045 2024/08/15 13:33:55 - mmengine - INFO - Iter(train) [ 35700/120000] base_lr: 1.5982e-04 lr: 1.6347e-05 eta: 2 days, 0:16:45 time: 2.0526 data_time: 0.1109 memory: 11586 grad_norm: 0.8256 loss: 0.2748 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2042 2024/08/15 13:35:37 - mmengine - INFO - Iter(train) [ 35750/120000] base_lr: 1.5972e-04 lr: 1.6338e-05 eta: 2 days, 0:14:52 time: 2.0526 data_time: 0.1110 memory: 11728 grad_norm: 0.8252 loss: 0.2755 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2048 2024/08/15 13:37:18 - mmengine - INFO - Iter(train) [ 35800/120000] base_lr: 1.5961e-04 lr: 1.6328e-05 eta: 2 days, 0:12:53 time: 2.0524 data_time: 0.1111 memory: 11780 grad_norm: 0.8246 loss: 0.2760 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2053 2024/08/15 13:38:59 - mmengine - INFO - Iter(train) [ 35850/120000] base_lr: 1.5951e-04 lr: 1.6319e-05 eta: 2 days, 0:10:57 time: 2.0521 data_time: 0.1110 memory: 12106 grad_norm: 0.8245 loss: 0.2758 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2051 2024/08/15 13:40:41 - mmengine - INFO - Iter(train) [ 35900/120000] base_lr: 1.5940e-04 lr: 1.6309e-05 eta: 2 days, 0:09:05 time: 2.0519 data_time: 0.1110 memory: 11889 grad_norm: 0.8242 loss: 0.2760 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2053 2024/08/15 13:42:24 - mmengine - INFO - Iter(train) [ 35950/120000] base_lr: 1.5930e-04 lr: 1.6300e-05 eta: 2 days, 0:07:18 time: 2.0520 data_time: 0.1111 memory: 11841 grad_norm: 0.8237 loss: 0.2762 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2054 2024/08/15 13:44:06 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 13:44:06 - mmengine - INFO - Iter(train) [ 36000/120000] base_lr: 1.5919e-04 lr: 1.6290e-05 eta: 2 days, 0:05:27 time: 2.0520 data_time: 0.1112 memory: 11806 grad_norm: 0.8232 loss: 0.2764 instance_segmentation_loss_cls: 0.0494 instance_segmentation_loss_mask: 0.0214 instance_segmentation_loss_dice: 0.2056 2024/08/15 13:44:06 - mmengine - INFO - Saving checkpoint at 36000 iterations 2024/08/15 13:45:53 - mmengine - INFO - Iter(train) [ 36050/120000] base_lr: 1.5909e-04 lr: 1.6281e-05 eta: 2 days, 0:04:16 time: 2.0521 data_time: 0.1110 memory: 11782 grad_norm: 0.8227 loss: 0.2761 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2054 2024/08/15 13:47:35 - mmengine - INFO - Iter(train) [ 36100/120000] base_lr: 1.5898e-04 lr: 1.6271e-05 eta: 2 days, 0:02:27 time: 2.0521 data_time: 0.1111 memory: 12149 grad_norm: 0.8221 loss: 0.2761 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2054 2024/08/15 13:49:17 - mmengine - INFO - Iter(train) [ 36150/120000] base_lr: 1.5888e-04 lr: 1.6262e-05 eta: 2 days, 0:00:36 time: 2.0522 data_time: 0.1111 memory: 11537 grad_norm: 0.8219 loss: 0.2760 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2054 2024/08/15 13:50:59 - mmengine - INFO - Iter(train) [ 36200/120000] base_lr: 1.5877e-04 lr: 1.6252e-05 eta: 1 day, 23:58:45 time: 2.0522 data_time: 0.1110 memory: 11732 grad_norm: 0.8214 loss: 0.2760 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2054 2024/08/15 13:52:41 - mmengine - INFO - Iter(train) [ 36250/120000] base_lr: 1.5867e-04 lr: 1.6242e-05 eta: 1 day, 23:56:55 time: 2.0523 data_time: 0.1109 memory: 11593 grad_norm: 0.8210 loss: 0.2760 instance_segmentation_loss_cls: 0.0493 instance_segmentation_loss_mask: 0.0213 instance_segmentation_loss_dice: 0.2054 2024/08/15 13:54:24 - mmengine - INFO - Iter(train) [ 36300/120000] base_lr: 1.5856e-04 lr: 1.6233e-05 eta: 1 day, 23:55:12 time: 2.0526 data_time: 0.1109 memory: 11806 grad_norm: 0.8210 loss: 0.2757 instance_segmentation_loss_cls: 0.0492 instance_segmentation_loss_mask: 0.0212 instance_segmentation_loss_dice: 0.2053 2024/08/15 13:56:07 - mmengine - INFO - Iter(train) [ 36350/120000] base_lr: 1.5846e-04 lr: 1.6223e-05 eta: 1 day, 23:53:24 time: 2.0527 data_time: 0.1109 memory: 11764 grad_norm: 0.8207 loss: 0.2754 instance_segmentation_loss_cls: 0.0491 instance_segmentation_loss_mask: 0.0212 instance_segmentation_loss_dice: 0.2051 2024/08/15 13:57:48 - mmengine - INFO - Iter(train) [ 36400/120000] base_lr: 1.5835e-04 lr: 1.6214e-05 eta: 1 day, 23:51:28 time: 2.0527 data_time: 0.1108 memory: 11536 grad_norm: 0.8202 loss: 0.2749 instance_segmentation_loss_cls: 0.0491 instance_segmentation_loss_mask: 0.0212 instance_segmentation_loss_dice: 0.2047 2024/08/15 13:59:30 - mmengine - INFO - Iter(train) [ 36450/120000] base_lr: 1.5825e-04 lr: 1.6204e-05 eta: 1 day, 23:49:36 time: 2.0526 data_time: 0.1106 memory: 11717 grad_norm: 0.8195 loss: 0.2745 instance_segmentation_loss_cls: 0.0490 instance_segmentation_loss_mask: 0.0211 instance_segmentation_loss_dice: 0.2043 2024/08/15 14:01:12 - mmengine - INFO - Iter(train) [ 36500/120000] base_lr: 1.5814e-04 lr: 1.6194e-05 eta: 1 day, 23:47:45 time: 2.0524 data_time: 0.1105 memory: 11814 grad_norm: 0.8194 loss: 0.2739 instance_segmentation_loss_cls: 0.0489 instance_segmentation_loss_mask: 0.0211 instance_segmentation_loss_dice: 0.2038 2024/08/15 14:02:54 - mmengine - INFO - Iter(train) [ 36550/120000] base_lr: 1.5803e-04 lr: 1.6185e-05 eta: 1 day, 23:45:57 time: 2.0521 data_time: 0.1103 memory: 11987 grad_norm: 0.8193 loss: 0.2736 instance_segmentation_loss_cls: 0.0489 instance_segmentation_loss_mask: 0.0211 instance_segmentation_loss_dice: 0.2036 2024/08/15 14:04:36 - mmengine - INFO - Iter(train) [ 36600/120000] base_lr: 1.5793e-04 lr: 1.6175e-05 eta: 1 day, 23:44:05 time: 2.0519 data_time: 0.1103 memory: 11659 grad_norm: 0.8187 loss: 0.2730 instance_segmentation_loss_cls: 0.0488 instance_segmentation_loss_mask: 0.0211 instance_segmentation_loss_dice: 0.2032 2024/08/15 14:06:18 - mmengine - INFO - Iter(train) [ 36650/120000] base_lr: 1.5782e-04 lr: 1.6166e-05 eta: 1 day, 23:42:16 time: 2.0520 data_time: 0.1103 memory: 11551 grad_norm: 0.8187 loss: 0.2730 instance_segmentation_loss_cls: 0.0487 instance_segmentation_loss_mask: 0.0211 instance_segmentation_loss_dice: 0.2031 2024/08/15 14:08:01 - mmengine - INFO - Iter(train) [ 36700/120000] base_lr: 1.5772e-04 lr: 1.6156e-05 eta: 1 day, 23:40:29 time: 2.0522 data_time: 0.1103 memory: 11892 grad_norm: 0.8186 loss: 0.2730 instance_segmentation_loss_cls: 0.0487 instance_segmentation_loss_mask: 0.0211 instance_segmentation_loss_dice: 0.2032 2024/08/15 14:09:42 - mmengine - INFO - Iter(train) [ 36750/120000] base_lr: 1.5761e-04 lr: 1.6146e-05 eta: 1 day, 23:38:36 time: 2.0521 data_time: 0.1104 memory: 11899 grad_norm: 0.8191 loss: 0.2729 instance_segmentation_loss_cls: 0.0487 instance_segmentation_loss_mask: 0.0210 instance_segmentation_loss_dice: 0.2032 2024/08/15 14:11:25 - mmengine - INFO - Iter(train) [ 36800/120000] base_lr: 1.5750e-04 lr: 1.6137e-05 eta: 1 day, 23:36:49 time: 2.0524 data_time: 0.1106 memory: 11778 grad_norm: 0.8188 loss: 0.2735 instance_segmentation_loss_cls: 0.0488 instance_segmentation_loss_mask: 0.0211 instance_segmentation_loss_dice: 0.2037 2024/08/15 14:13:07 - mmengine - INFO - Iter(train) [ 36850/120000] base_lr: 1.5740e-04 lr: 1.6127e-05 eta: 1 day, 23:35:04 time: 2.0525 data_time: 0.1105 memory: 11537 grad_norm: 0.8185 loss: 0.2731 instance_segmentation_loss_cls: 0.0487 instance_segmentation_loss_mask: 0.0211 instance_segmentation_loss_dice: 0.2034 2024/08/15 14:14:50 - mmengine - INFO - Iter(train) [ 36900/120000] base_lr: 1.5729e-04 lr: 1.6117e-05 eta: 1 day, 23:33:16 time: 2.0527 data_time: 0.1103 memory: 11712 grad_norm: 0.8176 loss: 0.2720 instance_segmentation_loss_cls: 0.0485 instance_segmentation_loss_mask: 0.0210 instance_segmentation_loss_dice: 0.2025 2024/08/15 14:16:32 - mmengine - INFO - Iter(train) [ 36950/120000] base_lr: 1.5718e-04 lr: 1.6108e-05 eta: 1 day, 23:31:27 time: 2.0527 data_time: 0.1106 memory: 12236 grad_norm: 0.8174 loss: 0.2717 instance_segmentation_loss_cls: 0.0484 instance_segmentation_loss_mask: 0.0210 instance_segmentation_loss_dice: 0.2023 2024/08/15 14:18:14 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 14:18:14 - mmengine - INFO - Iter(train) [ 37000/120000] base_lr: 1.5708e-04 lr: 1.6098e-05 eta: 1 day, 23:29:41 time: 2.0528 data_time: 0.1105 memory: 11909 grad_norm: 0.8175 loss: 0.2714 instance_segmentation_loss_cls: 0.0484 instance_segmentation_loss_mask: 0.0210 instance_segmentation_loss_dice: 0.2020 2024/08/15 14:18:14 - mmengine - INFO - Saving checkpoint at 37000 iterations 2024/08/15 14:20:02 - mmengine - INFO - Iter(train) [ 37050/120000] base_lr: 1.5697e-04 lr: 1.6088e-05 eta: 1 day, 23:28:26 time: 2.0531 data_time: 0.1105 memory: 12084 grad_norm: 0.8171 loss: 0.2711 instance_segmentation_loss_cls: 0.0483 instance_segmentation_loss_mask: 0.0209 instance_segmentation_loss_dice: 0.2019 2024/08/15 14:21:43 - mmengine - INFO - Iter(train) [ 37100/120000] base_lr: 1.5686e-04 lr: 1.6078e-05 eta: 1 day, 23:26:29 time: 2.0528 data_time: 0.1102 memory: 11547 grad_norm: 0.8167 loss: 0.2703 instance_segmentation_loss_cls: 0.0482 instance_segmentation_loss_mask: 0.0209 instance_segmentation_loss_dice: 0.2012 2024/08/15 14:23:24 - mmengine - INFO - Iter(train) [ 37150/120000] base_lr: 1.5676e-04 lr: 1.6069e-05 eta: 1 day, 23:24:37 time: 2.0528 data_time: 0.1100 memory: 11537 grad_norm: 0.8167 loss: 0.2697 instance_segmentation_loss_cls: 0.0482 instance_segmentation_loss_mask: 0.0208 instance_segmentation_loss_dice: 0.2007 2024/08/15 14:25:07 - mmengine - INFO - Iter(train) [ 37200/120000] base_lr: 1.5665e-04 lr: 1.6059e-05 eta: 1 day, 23:22:51 time: 2.0529 data_time: 0.1101 memory: 11537 grad_norm: 0.8169 loss: 0.2694 instance_segmentation_loss_cls: 0.0482 instance_segmentation_loss_mask: 0.0208 instance_segmentation_loss_dice: 0.2004 2024/08/15 14:26:49 - mmengine - INFO - Iter(train) [ 37250/120000] base_lr: 1.5654e-04 lr: 1.6049e-05 eta: 1 day, 23:21:01 time: 2.0529 data_time: 0.1102 memory: 11614 grad_norm: 0.8170 loss: 0.2692 instance_segmentation_loss_cls: 0.0481 instance_segmentation_loss_mask: 0.0208 instance_segmentation_loss_dice: 0.2003 2024/08/15 14:28:31 - mmengine - INFO - Iter(train) [ 37300/120000] base_lr: 1.5643e-04 lr: 1.6039e-05 eta: 1 day, 23:19:13 time: 2.0530 data_time: 0.1102 memory: 11916 grad_norm: 0.8162 loss: 0.2691 instance_segmentation_loss_cls: 0.0480 instance_segmentation_loss_mask: 0.0207 instance_segmentation_loss_dice: 0.2003 2024/08/15 14:30:13 - mmengine - INFO - Iter(train) [ 37350/120000] base_lr: 1.5633e-04 lr: 1.6030e-05 eta: 1 day, 23:17:22 time: 2.0532 data_time: 0.1104 memory: 11963 grad_norm: 0.8165 loss: 0.2693 instance_segmentation_loss_cls: 0.0481 instance_segmentation_loss_mask: 0.0207 instance_segmentation_loss_dice: 0.2005 2024/08/15 14:31:55 - mmengine - INFO - Iter(train) [ 37400/120000] base_lr: 1.5622e-04 lr: 1.6020e-05 eta: 1 day, 23:15:32 time: 2.0532 data_time: 0.1103 memory: 11537 grad_norm: 0.8166 loss: 0.2686 instance_segmentation_loss_cls: 0.0480 instance_segmentation_loss_mask: 0.0207 instance_segmentation_loss_dice: 0.1999 2024/08/15 14:33:36 - mmengine - INFO - Iter(train) [ 37450/120000] base_lr: 1.5611e-04 lr: 1.6010e-05 eta: 1 day, 23:13:35 time: 2.0528 data_time: 0.1105 memory: 11666 grad_norm: 0.8166 loss: 0.2690 instance_segmentation_loss_cls: 0.0481 instance_segmentation_loss_mask: 0.0207 instance_segmentation_loss_dice: 0.2002 2024/08/15 14:35:18 - mmengine - INFO - Iter(train) [ 37500/120000] base_lr: 1.5600e-04 lr: 1.6000e-05 eta: 1 day, 23:11:46 time: 2.0529 data_time: 0.1104 memory: 11682 grad_norm: 0.8163 loss: 0.2688 instance_segmentation_loss_cls: 0.0480 instance_segmentation_loss_mask: 0.0207 instance_segmentation_loss_dice: 0.2001 2024/08/15 14:36:59 - mmengine - INFO - Iter(train) [ 37550/120000] base_lr: 1.5590e-04 lr: 1.5991e-05 eta: 1 day, 23:09:55 time: 2.0530 data_time: 0.1105 memory: 12360 grad_norm: 0.8152 loss: 0.2683 instance_segmentation_loss_cls: 0.0480 instance_segmentation_loss_mask: 0.0207 instance_segmentation_loss_dice: 0.1997 2024/08/15 14:38:42 - mmengine - INFO - Iter(train) [ 37600/120000] base_lr: 1.5579e-04 lr: 1.5981e-05 eta: 1 day, 23:08:06 time: 2.0530 data_time: 0.1101 memory: 11537 grad_norm: 0.8154 loss: 0.2671 instance_segmentation_loss_cls: 0.0479 instance_segmentation_loss_mask: 0.0206 instance_segmentation_loss_dice: 0.1986 2024/08/15 14:40:24 - mmengine - INFO - Iter(train) [ 37650/120000] base_lr: 1.5568e-04 lr: 1.5971e-05 eta: 1 day, 23:06:20 time: 2.0533 data_time: 0.1106 memory: 12243 grad_norm: 0.8146 loss: 0.2679 instance_segmentation_loss_cls: 0.0480 instance_segmentation_loss_mask: 0.0206 instance_segmentation_loss_dice: 0.1994 2024/08/15 14:42:06 - 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mmengine - INFO - Saving checkpoint at 38000 iterations 2024/08/15 14:54:02 - mmengine - INFO - Iter(train) [ 38050/120000] base_lr: 1.5481e-04 lr: 1.5892e-05 eta: 1 day, 22:51:58 time: 2.0528 data_time: 0.1100 memory: 11650 grad_norm: 0.8137 loss: 0.2667 instance_segmentation_loss_cls: 0.0478 instance_segmentation_loss_mask: 0.0206 instance_segmentation_loss_dice: 0.1983 2024/08/15 14:55:44 - mmengine - INFO - Iter(train) [ 38100/120000] base_lr: 1.5470e-04 lr: 1.5882e-05 eta: 1 day, 22:50:11 time: 2.0529 data_time: 0.1100 memory: 11802 grad_norm: 0.8136 loss: 0.2665 instance_segmentation_loss_cls: 0.0478 instance_segmentation_loss_mask: 0.0206 instance_segmentation_loss_dice: 0.1981 2024/08/15 14:57:26 - mmengine - INFO - Iter(train) [ 38150/120000] base_lr: 1.5459e-04 lr: 1.5872e-05 eta: 1 day, 22:48:21 time: 2.0529 data_time: 0.1101 memory: 11765 grad_norm: 0.8133 loss: 0.2666 instance_segmentation_loss_cls: 0.0477 instance_segmentation_loss_mask: 0.0206 instance_segmentation_loss_dice: 0.1983 2024/08/15 14:59:09 - 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mmengine - INFO - Iter(train) [ 38400/120000] base_lr: 1.5405e-04 lr: 1.5823e-05 eta: 1 day, 22:39:16 time: 2.0526 data_time: 0.1101 memory: 11630 grad_norm: 0.8114 loss: 0.2660 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_mask: 0.0205 instance_segmentation_loss_dice: 0.1978 2024/08/15 15:07:37 - mmengine - INFO - Iter(train) [ 38450/120000] base_lr: 1.5394e-04 lr: 1.5813e-05 eta: 1 day, 22:37:24 time: 2.0522 data_time: 0.1103 memory: 11769 grad_norm: 0.8111 loss: 0.2661 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_mask: 0.0205 instance_segmentation_loss_dice: 0.1980 2024/08/15 15:09:19 - mmengine - INFO - Iter(train) [ 38500/120000] base_lr: 1.5383e-04 lr: 1.5803e-05 eta: 1 day, 22:35:33 time: 2.0519 data_time: 0.1104 memory: 11875 grad_norm: 0.8109 loss: 0.2664 instance_segmentation_loss_cls: 0.0477 instance_segmentation_loss_mask: 0.0205 instance_segmentation_loss_dice: 0.1982 2024/08/15 15:11:01 - mmengine - INFO - Iter(train) [ 38550/120000] base_lr: 1.5372e-04 lr: 1.5793e-05 eta: 1 day, 22:33:44 time: 2.0519 data_time: 0.1102 memory: 11827 grad_norm: 0.8109 loss: 0.2658 instance_segmentation_loss_cls: 0.0476 instance_segmentation_loss_mask: 0.0205 instance_segmentation_loss_dice: 0.1977 2024/08/15 15:12:42 - mmengine - INFO - Iter(train) [ 38600/120000] base_lr: 1.5361e-04 lr: 1.5783e-05 eta: 1 day, 22:31:54 time: 2.0518 data_time: 0.1101 memory: 11827 grad_norm: 0.8108 loss: 0.2649 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_mask: 0.0204 instance_segmentation_loss_dice: 0.1969 2024/08/15 15:14:24 - mmengine - INFO - Iter(train) [ 38650/120000] base_lr: 1.5350e-04 lr: 1.5773e-05 eta: 1 day, 22:30:04 time: 2.0517 data_time: 0.1102 memory: 11944 grad_norm: 0.8103 loss: 0.2646 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_mask: 0.0204 instance_segmentation_loss_dice: 0.1967 2024/08/15 15:16:06 - mmengine - INFO - Iter(train) [ 38700/120000] base_lr: 1.5339e-04 lr: 1.5763e-05 eta: 1 day, 22:28:14 time: 2.0516 data_time: 0.1103 memory: 12002 grad_norm: 0.8100 loss: 0.2648 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_mask: 0.0204 instance_segmentation_loss_dice: 0.1969 2024/08/15 15:17:48 - mmengine - INFO - Iter(train) [ 38750/120000] base_lr: 1.5328e-04 lr: 1.5753e-05 eta: 1 day, 22:26:26 time: 2.0516 data_time: 0.1104 memory: 11867 grad_norm: 0.8101 loss: 0.2654 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_mask: 0.0203 instance_segmentation_loss_dice: 0.1975 2024/08/15 15:19:30 - 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mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 15:26:18 - mmengine - INFO - Iter(train) [ 39000/120000] base_lr: 1.5273e-04 lr: 1.5703e-05 eta: 1 day, 22:17:28 time: 2.0513 data_time: 0.1108 memory: 11876 grad_norm: 0.8082 loss: 0.2653 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_mask: 0.0203 instance_segmentation_loss_dice: 0.1976 2024/08/15 15:26:18 - mmengine - INFO - Saving checkpoint at 39000 iterations 2024/08/15 15:28:05 - mmengine - INFO - Iter(train) [ 39050/120000] base_lr: 1.5262e-04 lr: 1.5693e-05 eta: 1 day, 22:16:09 time: 2.0439 data_time: 0.1033 memory: 11944 grad_norm: 0.8091 loss: 0.2656 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_mask: 0.0203 instance_segmentation_loss_dice: 0.1978 2024/08/15 15:29:25 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 15:29:48 - mmengine - INFO - Iter(train) [ 39100/120000] base_lr: 1.5251e-04 lr: 1.5683e-05 eta: 1 day, 22:14:26 time: 2.0440 data_time: 0.1033 memory: 11872 grad_norm: 0.8093 loss: 0.2656 instance_segmentation_loss_cls: 0.0475 instance_segmentation_loss_mask: 0.0203 instance_segmentation_loss_dice: 0.1979 2024/08/15 15:31:31 - 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mmengine - INFO - Iter(train) [ 39950/120000] base_lr: 1.5061e-04 lr: 1.5510e-05 eta: 1 day, 21:44:31 time: 2.0461 data_time: 0.1032 memory: 11787 grad_norm: 0.8079 loss: 0.2627 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1954 2024/08/15 16:00:30 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 16:00:30 - mmengine - INFO - Iter(train) [ 40000/120000] base_lr: 1.5050e-04 lr: 1.5500e-05 eta: 1 day, 21:42:43 time: 2.0460 data_time: 0.1032 memory: 11556 grad_norm: 0.8077 loss: 0.2628 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1955 2024/08/15 16:00:30 - mmengine - INFO - Saving checkpoint at 40000 iterations 2024/08/15 16:00:58 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:20 time: 0.5033 data_time: 0.0228 memory: 5705 2024/08/15 16:01:21 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:59 time: 0.5023 data_time: 0.0226 memory: 5705 2024/08/15 16:01:43 - 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mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.4927 data_time: 0.0214 memory: 5705 2024/08/15 16:05:23 - mmengine - INFO - Evaluating segm... 2024/08/15 16:05:50 - mmengine - INFO - segm_mAP_copypaste: 0.373 0.571 0.404 0.181 0.421 0.557 2024/08/15 16:05:51 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.3730 coco/segm_mAP_50: 0.5710 coco/segm_mAP_75: 0.4040 coco/segm_mAP_s: 0.1810 coco/segm_mAP_m: 0.4210 coco/segm_mAP_l: 0.5570 data_time: 0.0178 time: 0.4505 2024/08/15 16:07:32 - mmengine - INFO - Iter(train) [ 40050/120000] base_lr: 1.5039e-04 lr: 1.5490e-05 eta: 1 day, 21:43:52 time: 2.0530 data_time: 0.1103 memory: 11640 grad_norm: 0.8077 loss: 0.2628 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1956 2024/08/15 16:09:14 - mmengine - INFO - Iter(train) [ 40100/120000] base_lr: 1.5028e-04 lr: 1.5480e-05 eta: 1 day, 21:42:04 time: 2.0530 data_time: 0.1103 memory: 12185 grad_norm: 0.8082 loss: 0.2625 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1954 2024/08/15 16:10:56 - mmengine - INFO - Iter(train) [ 40150/120000] base_lr: 1.5017e-04 lr: 1.5470e-05 eta: 1 day, 21:40:14 time: 2.0529 data_time: 0.1101 memory: 11687 grad_norm: 0.8079 loss: 0.2621 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1950 2024/08/15 16:12:38 - mmengine - INFO - Iter(train) [ 40200/120000] base_lr: 1.5005e-04 lr: 1.5459e-05 eta: 1 day, 21:38:28 time: 2.0530 data_time: 0.1100 memory: 12156 grad_norm: 0.8081 loss: 0.2618 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1948 2024/08/15 16:14:20 - mmengine - INFO - Iter(train) [ 40250/120000] base_lr: 1.4994e-04 lr: 1.5449e-05 eta: 1 day, 21:36:41 time: 2.0530 data_time: 0.1101 memory: 11727 grad_norm: 0.8077 loss: 0.2618 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1948 2024/08/15 16:16:03 - mmengine - INFO - Iter(train) [ 40300/120000] base_lr: 1.4983e-04 lr: 1.5439e-05 eta: 1 day, 21:34:54 time: 2.0527 data_time: 0.1101 memory: 11722 grad_norm: 0.8078 loss: 0.2616 instance_segmentation_loss_cls: 0.0469 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1946 2024/08/15 16:17:44 - mmengine - INFO - Iter(train) [ 40350/120000] base_lr: 1.4971e-04 lr: 1.5429e-05 eta: 1 day, 21:33:04 time: 2.0526 data_time: 0.1100 memory: 11554 grad_norm: 0.8080 loss: 0.2618 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1948 2024/08/15 16:19:26 - mmengine - INFO - Iter(train) [ 40400/120000] base_lr: 1.4960e-04 lr: 1.5418e-05 eta: 1 day, 21:31:17 time: 2.0528 data_time: 0.1102 memory: 11604 grad_norm: 0.8084 loss: 0.2624 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1952 2024/08/15 16:21:08 - mmengine - INFO - Iter(train) [ 40450/120000] base_lr: 1.4949e-04 lr: 1.5408e-05 eta: 1 day, 21:29:27 time: 2.0527 data_time: 0.1102 memory: 11534 grad_norm: 0.8081 loss: 0.2624 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1953 2024/08/15 16:22:51 - mmengine - INFO - Iter(train) [ 40500/120000] base_lr: 1.4938e-04 lr: 1.5398e-05 eta: 1 day, 21:27:42 time: 2.0529 data_time: 0.1104 memory: 11723 grad_norm: 0.8073 loss: 0.2627 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1956 2024/08/15 16:24:33 - mmengine - INFO - Iter(train) [ 40550/120000] base_lr: 1.4926e-04 lr: 1.5388e-05 eta: 1 day, 21:25:54 time: 2.0528 data_time: 0.1103 memory: 12014 grad_norm: 0.8072 loss: 0.2624 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1953 2024/08/15 16:26:15 - mmengine - INFO - Iter(train) [ 40600/120000] base_lr: 1.4915e-04 lr: 1.5377e-05 eta: 1 day, 21:24:09 time: 2.0529 data_time: 0.1102 memory: 11532 grad_norm: 0.8072 loss: 0.2624 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1953 2024/08/15 16:27:57 - mmengine - INFO - Iter(train) [ 40650/120000] base_lr: 1.4904e-04 lr: 1.5367e-05 eta: 1 day, 21:22:22 time: 2.0529 data_time: 0.1103 memory: 11812 grad_norm: 0.8067 loss: 0.2628 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1955 2024/08/15 16:29:39 - mmengine - INFO - Iter(train) [ 40700/120000] base_lr: 1.4892e-04 lr: 1.5357e-05 eta: 1 day, 21:20:33 time: 2.0527 data_time: 0.1104 memory: 12289 grad_norm: 0.8067 loss: 0.2630 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1956 2024/08/15 16:31:21 - mmengine - INFO - Iter(train) [ 40750/120000] base_lr: 1.4881e-04 lr: 1.5346e-05 eta: 1 day, 21:18:48 time: 2.0530 data_time: 0.1104 memory: 11883 grad_norm: 0.8059 loss: 0.2628 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1955 2024/08/15 16:33:04 - mmengine - INFO - Iter(train) [ 40800/120000] base_lr: 1.4870e-04 lr: 1.5336e-05 eta: 1 day, 21:17:01 time: 2.0529 data_time: 0.1103 memory: 11769 grad_norm: 0.8056 loss: 0.2624 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1951 2024/08/15 16:34:46 - mmengine - INFO - Iter(train) [ 40850/120000] base_lr: 1.4858e-04 lr: 1.5326e-05 eta: 1 day, 21:15:15 time: 2.0528 data_time: 0.1105 memory: 11781 grad_norm: 0.8055 loss: 0.2629 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1956 2024/08/15 16:36:27 - mmengine - INFO - Iter(train) [ 40900/120000] base_lr: 1.4847e-04 lr: 1.5315e-05 eta: 1 day, 21:13:25 time: 2.0525 data_time: 0.1107 memory: 11568 grad_norm: 0.8054 loss: 0.2635 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1961 2024/08/15 16:38:09 - mmengine - INFO - Iter(train) [ 40950/120000] base_lr: 1.4835e-04 lr: 1.5305e-05 eta: 1 day, 21:11:36 time: 2.0524 data_time: 0.1104 memory: 11535 grad_norm: 0.8054 loss: 0.2631 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1958 2024/08/15 16:39:51 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 16:39:51 - mmengine - INFO - Iter(train) [ 41000/120000] base_lr: 1.4824e-04 lr: 1.5295e-05 eta: 1 day, 21:09:47 time: 2.0522 data_time: 0.1103 memory: 11775 grad_norm: 0.8049 loss: 0.2628 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1956 2024/08/15 16:39:51 - mmengine - INFO - Saving checkpoint at 41000 iterations 2024/08/15 16:41:38 - mmengine - INFO - Iter(train) [ 41050/120000] base_lr: 1.4813e-04 lr: 1.5284e-05 eta: 1 day, 21:08:24 time: 2.0522 data_time: 0.1103 memory: 12078 grad_norm: 0.8043 loss: 0.2629 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1957 2024/08/15 16:43:19 - mmengine - INFO - Iter(train) [ 41100/120000] base_lr: 1.4801e-04 lr: 1.5274e-05 eta: 1 day, 21:06:32 time: 2.0522 data_time: 0.1107 memory: 12069 grad_norm: 0.8038 loss: 0.2636 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1963 2024/08/15 16:45:01 - mmengine - INFO - Iter(train) [ 41150/120000] base_lr: 1.4790e-04 lr: 1.5264e-05 eta: 1 day, 21:04:44 time: 2.0523 data_time: 0.1109 memory: 11841 grad_norm: 0.8036 loss: 0.2640 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1967 2024/08/15 16:46:43 - mmengine - INFO - Iter(train) [ 41200/120000] base_lr: 1.4778e-04 lr: 1.5253e-05 eta: 1 day, 21:02:57 time: 2.0522 data_time: 0.1111 memory: 12179 grad_norm: 0.8029 loss: 0.2649 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1975 2024/08/15 16:48:25 - mmengine - INFO - Iter(train) [ 41250/120000] base_lr: 1.4767e-04 lr: 1.5243e-05 eta: 1 day, 21:01:11 time: 2.0522 data_time: 0.1110 memory: 11814 grad_norm: 0.8030 loss: 0.2646 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1972 2024/08/15 16:50:07 - mmengine - INFO - Iter(train) [ 41300/120000] base_lr: 1.4756e-04 lr: 1.5232e-05 eta: 1 day, 20:59:24 time: 2.0522 data_time: 0.1110 memory: 11627 grad_norm: 0.8029 loss: 0.2648 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1973 2024/08/15 16:51:49 - mmengine - INFO - Iter(train) [ 41350/120000] base_lr: 1.4744e-04 lr: 1.5222e-05 eta: 1 day, 20:57:37 time: 2.0522 data_time: 0.1108 memory: 11703 grad_norm: 0.8023 loss: 0.2641 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1967 2024/08/15 16:53:31 - mmengine - INFO - Iter(train) [ 41400/120000] base_lr: 1.4733e-04 lr: 1.5212e-05 eta: 1 day, 20:55:50 time: 2.0522 data_time: 0.1111 memory: 11958 grad_norm: 0.8018 loss: 0.2647 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1972 2024/08/15 16:55:13 - mmengine - INFO - Iter(train) [ 41450/120000] base_lr: 1.4721e-04 lr: 1.5201e-05 eta: 1 day, 20:54:03 time: 2.0526 data_time: 0.1110 memory: 11764 grad_norm: 0.8016 loss: 0.2646 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1971 2024/08/15 16:56:56 - mmengine - INFO - Iter(train) [ 41500/120000] base_lr: 1.4710e-04 lr: 1.5191e-05 eta: 1 day, 20:52:18 time: 2.0526 data_time: 0.1109 memory: 11666 grad_norm: 0.8017 loss: 0.2642 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1968 2024/08/15 16:58:38 - mmengine - INFO - Iter(train) [ 41550/120000] base_lr: 1.4698e-04 lr: 1.5180e-05 eta: 1 day, 20:50:32 time: 2.0528 data_time: 0.1108 memory: 11856 grad_norm: 0.8018 loss: 0.2641 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1967 2024/08/15 17:00:20 - mmengine - INFO - Iter(train) [ 41600/120000] base_lr: 1.4687e-04 lr: 1.5170e-05 eta: 1 day, 20:48:46 time: 2.0528 data_time: 0.1111 memory: 12149 grad_norm: 0.8018 loss: 0.2649 instance_segmentation_loss_cls: 0.0473 instance_segmentation_loss_mask: 0.0202 instance_segmentation_loss_dice: 0.1975 2024/08/15 17:02:01 - mmengine - INFO - Iter(train) [ 41650/120000] base_lr: 1.4675e-04 lr: 1.5159e-05 eta: 1 day, 20:46:56 time: 2.0525 data_time: 0.1108 memory: 11717 grad_norm: 0.8024 loss: 0.2639 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1966 2024/08/15 17:03:44 - mmengine - INFO - Iter(train) [ 41700/120000] base_lr: 1.4664e-04 lr: 1.5149e-05 eta: 1 day, 20:45:10 time: 2.0526 data_time: 0.1110 memory: 11825 grad_norm: 0.8017 loss: 0.2642 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1969 2024/08/15 17:05:26 - mmengine - INFO - Iter(train) [ 41750/120000] base_lr: 1.4652e-04 lr: 1.5139e-05 eta: 1 day, 20:43:24 time: 2.0528 data_time: 0.1109 memory: 11728 grad_norm: 0.8015 loss: 0.2639 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1967 2024/08/15 17:07:08 - mmengine - INFO - Iter(train) [ 41800/120000] base_lr: 1.4641e-04 lr: 1.5128e-05 eta: 1 day, 20:41:36 time: 2.0529 data_time: 0.1111 memory: 11656 grad_norm: 0.8012 loss: 0.2643 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1970 2024/08/15 17:08:49 - mmengine - INFO - Iter(train) [ 41850/120000] base_lr: 1.4629e-04 lr: 1.5118e-05 eta: 1 day, 20:39:47 time: 2.0529 data_time: 0.1110 memory: 11941 grad_norm: 0.8012 loss: 0.2641 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1970 2024/08/15 17:10:31 - mmengine - INFO - Iter(train) [ 41900/120000] base_lr: 1.4618e-04 lr: 1.5107e-05 eta: 1 day, 20:37:59 time: 2.0531 data_time: 0.1112 memory: 12138 grad_norm: 0.8009 loss: 0.2644 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_mask: 0.0201 instance_segmentation_loss_dice: 0.1973 2024/08/15 17:12:13 - mmengine - INFO - Iter(train) [ 41950/120000] base_lr: 1.4606e-04 lr: 1.5097e-05 eta: 1 day, 20:36:11 time: 2.0531 data_time: 0.1114 memory: 11734 grad_norm: 0.8003 loss: 0.2646 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_mask: 0.0200 instance_segmentation_loss_dice: 0.1974 2024/08/15 17:13:56 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 17:13:56 - mmengine - INFO - Iter(train) [ 42000/120000] base_lr: 1.4595e-04 lr: 1.5086e-05 eta: 1 day, 20:34:29 time: 2.0535 data_time: 0.1110 memory: 11674 grad_norm: 0.7997 loss: 0.2639 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_mask: 0.0200 instance_segmentation_loss_dice: 0.1969 2024/08/15 17:13:56 - mmengine - INFO - Saving checkpoint at 42000 iterations 2024/08/15 17:15:42 - mmengine - INFO - Iter(train) [ 42050/120000] base_lr: 1.4583e-04 lr: 1.5076e-05 eta: 1 day, 20:33:03 time: 2.0534 data_time: 0.1110 memory: 11611 grad_norm: 0.7995 loss: 0.2636 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_mask: 0.0200 instance_segmentation_loss_dice: 0.1966 2024/08/15 17:17:25 - mmengine - INFO - Iter(train) [ 42100/120000] base_lr: 1.4572e-04 lr: 1.5065e-05 eta: 1 day, 20:31:20 time: 2.0535 data_time: 0.1111 memory: 11765 grad_norm: 0.8001 loss: 0.2636 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_mask: 0.0200 instance_segmentation_loss_dice: 0.1966 2024/08/15 17:19:08 - mmengine - INFO - Iter(train) [ 42150/120000] base_lr: 1.4560e-04 lr: 1.5055e-05 eta: 1 day, 20:29:35 time: 2.0536 data_time: 0.1109 memory: 11782 grad_norm: 0.8001 loss: 0.2631 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_mask: 0.0199 instance_segmentation_loss_dice: 0.1961 2024/08/15 17:20:50 - mmengine - INFO - Iter(train) [ 42200/120000] base_lr: 1.4548e-04 lr: 1.5044e-05 eta: 1 day, 20:27:51 time: 2.0536 data_time: 0.1109 memory: 11968 grad_norm: 0.7999 loss: 0.2638 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_mask: 0.0200 instance_segmentation_loss_dice: 0.1966 2024/08/15 17:22:33 - mmengine - INFO - Iter(train) [ 42250/120000] base_lr: 1.4537e-04 lr: 1.5034e-05 eta: 1 day, 20:26:09 time: 2.0538 data_time: 0.1112 memory: 12204 grad_norm: 0.7999 loss: 0.2640 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_mask: 0.0200 instance_segmentation_loss_dice: 0.1969 2024/08/15 17:24:15 - mmengine - INFO - Iter(train) [ 42300/120000] base_lr: 1.4525e-04 lr: 1.5023e-05 eta: 1 day, 20:24:23 time: 2.0539 data_time: 0.1113 memory: 11573 grad_norm: 0.7999 loss: 0.2642 instance_segmentation_loss_cls: 0.0472 instance_segmentation_loss_mask: 0.0200 instance_segmentation_loss_dice: 0.1970 2024/08/15 17:25:58 - mmengine - INFO - Iter(train) [ 42350/120000] base_lr: 1.4514e-04 lr: 1.5012e-05 eta: 1 day, 20:22:39 time: 2.0542 data_time: 0.1112 memory: 11532 grad_norm: 0.8000 loss: 0.2640 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_mask: 0.0200 instance_segmentation_loss_dice: 0.1969 2024/08/15 17:27:40 - mmengine - INFO - Iter(train) [ 42400/120000] base_lr: 1.4502e-04 lr: 1.5002e-05 eta: 1 day, 20:20:53 time: 2.0544 data_time: 0.1112 memory: 11712 grad_norm: 0.8010 loss: 0.2634 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_mask: 0.0199 instance_segmentation_loss_dice: 0.1964 2024/08/15 17:29:23 - mmengine - INFO - Iter(train) [ 42450/120000] base_lr: 1.4491e-04 lr: 1.4991e-05 eta: 1 day, 20:19:08 time: 2.0546 data_time: 0.1115 memory: 11896 grad_norm: 0.8008 loss: 0.2641 instance_segmentation_loss_cls: 0.0471 instance_segmentation_loss_mask: 0.0200 instance_segmentation_loss_dice: 0.1970 2024/08/15 17:31:05 - mmengine - INFO - Iter(train) [ 42500/120000] base_lr: 1.4479e-04 lr: 1.4981e-05 eta: 1 day, 20:17:21 time: 2.0547 data_time: 0.1113 memory: 11651 grad_norm: 0.8006 loss: 0.2634 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_mask: 0.0199 instance_segmentation_loss_dice: 0.1965 2024/08/15 17:32:47 - mmengine - INFO - Iter(train) [ 42550/120000] base_lr: 1.4467e-04 lr: 1.4970e-05 eta: 1 day, 20:15:35 time: 2.0548 data_time: 0.1115 memory: 11745 grad_norm: 0.8004 loss: 0.2637 instance_segmentation_loss_cls: 0.0470 instance_segmentation_loss_mask: 0.0199 instance_segmentation_loss_dice: 0.1967 2024/08/15 17:34:30 - 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mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 17:48:09 - mmengine - INFO - Iter(train) [ 43000/120000] base_lr: 1.4362e-04 lr: 1.4875e-05 eta: 1 day, 19:59:53 time: 2.0559 data_time: 0.1108 memory: 11987 grad_norm: 0.8019 loss: 0.2616 instance_segmentation_loss_cls: 0.0468 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1951 2024/08/15 17:48:09 - mmengine - INFO - Saving checkpoint at 43000 iterations 2024/08/15 17:49:56 - mmengine - INFO - Iter(train) [ 43050/120000] base_lr: 1.4351e-04 lr: 1.4864e-05 eta: 1 day, 19:58:27 time: 2.0559 data_time: 0.1108 memory: 12198 grad_norm: 0.8011 loss: 0.2613 instance_segmentation_loss_cls: 0.0467 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1947 2024/08/15 17:51:37 - mmengine - INFO - Iter(train) [ 43100/120000] base_lr: 1.4339e-04 lr: 1.4854e-05 eta: 1 day, 19:56:38 time: 2.0555 data_time: 0.1109 memory: 11540 grad_norm: 0.8016 loss: 0.2613 instance_segmentation_loss_cls: 0.0468 instance_segmentation_loss_mask: 0.0199 instance_segmentation_loss_dice: 0.1946 2024/08/15 17:53:19 - 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mmengine - INFO - Iter(train) [ 43350/120000] base_lr: 1.4280e-04 lr: 1.4800e-05 eta: 1 day, 19:47:46 time: 2.0547 data_time: 0.1106 memory: 11614 grad_norm: 0.8000 loss: 0.2607 instance_segmentation_loss_cls: 0.0467 instance_segmentation_loss_mask: 0.0199 instance_segmentation_loss_dice: 0.1941 2024/08/15 18:01:50 - mmengine - INFO - Iter(train) [ 43400/120000] base_lr: 1.4268e-04 lr: 1.4790e-05 eta: 1 day, 19:46:02 time: 2.0550 data_time: 0.1106 memory: 11839 grad_norm: 0.7994 loss: 0.2603 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1938 2024/08/15 18:03:32 - mmengine - INFO - Iter(train) [ 43450/120000] base_lr: 1.4257e-04 lr: 1.4779e-05 eta: 1 day, 19:44:17 time: 2.0550 data_time: 0.1105 memory: 11927 grad_norm: 0.7994 loss: 0.2600 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1936 2024/08/15 18:05:14 - mmengine - INFO - Iter(train) [ 43500/120000] base_lr: 1.4245e-04 lr: 1.4768e-05 eta: 1 day, 19:42:31 time: 2.0549 data_time: 0.1105 memory: 11760 grad_norm: 0.7989 loss: 0.2600 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1937 2024/08/15 18:06:57 - mmengine - INFO - Iter(train) [ 43550/120000] base_lr: 1.4233e-04 lr: 1.4757e-05 eta: 1 day, 19:40:47 time: 2.0547 data_time: 0.1107 memory: 11802 grad_norm: 0.7989 loss: 0.2603 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1939 2024/08/15 18:08:39 - mmengine - INFO - Iter(train) [ 43600/120000] base_lr: 1.4221e-04 lr: 1.4747e-05 eta: 1 day, 19:39:01 time: 2.0546 data_time: 0.1108 memory: 11612 grad_norm: 0.7991 loss: 0.2603 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_mask: 0.0199 instance_segmentation_loss_dice: 0.1939 2024/08/15 18:10:21 - mmengine - INFO - Iter(train) [ 43650/120000] base_lr: 1.4210e-04 lr: 1.4736e-05 eta: 1 day, 19:37:16 time: 2.0548 data_time: 0.1108 memory: 11689 grad_norm: 0.7986 loss: 0.2602 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1938 2024/08/15 18:12:03 - mmengine - INFO - Iter(train) [ 43700/120000] base_lr: 1.4198e-04 lr: 1.4725e-05 eta: 1 day, 19:35:27 time: 2.0547 data_time: 0.1105 memory: 11532 grad_norm: 0.7979 loss: 0.2595 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1932 2024/08/15 18:13:45 - mmengine - INFO - Iter(train) [ 43750/120000] base_lr: 1.4186e-04 lr: 1.4715e-05 eta: 1 day, 19:33:43 time: 2.0547 data_time: 0.1108 memory: 11836 grad_norm: 0.7974 loss: 0.2599 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1936 2024/08/15 18:15:28 - mmengine - INFO - Iter(train) [ 43800/120000] base_lr: 1.4174e-04 lr: 1.4704e-05 eta: 1 day, 19:31:59 time: 2.0548 data_time: 0.1111 memory: 12462 grad_norm: 0.7967 loss: 0.2602 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1938 2024/08/15 18:17:10 - mmengine - INFO - Iter(train) [ 43850/120000] base_lr: 1.4162e-04 lr: 1.4693e-05 eta: 1 day, 19:30:13 time: 2.0546 data_time: 0.1111 memory: 11773 grad_norm: 0.7969 loss: 0.2599 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_mask: 0.0197 instance_segmentation_loss_dice: 0.1936 2024/08/15 18:18:53 - mmengine - INFO - Iter(train) [ 43900/120000] base_lr: 1.4151e-04 lr: 1.4682e-05 eta: 1 day, 19:28:31 time: 2.0548 data_time: 0.1110 memory: 11532 grad_norm: 0.7972 loss: 0.2599 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_mask: 0.0197 instance_segmentation_loss_dice: 0.1937 2024/08/15 18:20:35 - mmengine - INFO - Iter(train) [ 43950/120000] base_lr: 1.4139e-04 lr: 1.4672e-05 eta: 1 day, 19:26:45 time: 2.0548 data_time: 0.1111 memory: 11787 grad_norm: 0.7967 loss: 0.2602 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_mask: 0.0197 instance_segmentation_loss_dice: 0.1939 2024/08/15 18:22:17 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 18:22:17 - mmengine - INFO - Iter(train) [ 44000/120000] base_lr: 1.4127e-04 lr: 1.4661e-05 eta: 1 day, 19:25:00 time: 2.0549 data_time: 0.1111 memory: 11830 grad_norm: 0.7967 loss: 0.2600 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_mask: 0.0197 instance_segmentation_loss_dice: 0.1937 2024/08/15 18:22:17 - mmengine - INFO - Saving checkpoint at 44000 iterations 2024/08/15 18:24:04 - mmengine - INFO - Iter(train) [ 44050/120000] base_lr: 1.4115e-04 lr: 1.4650e-05 eta: 1 day, 19:23:33 time: 2.0478 data_time: 0.1041 memory: 11656 grad_norm: 0.7965 loss: 0.2599 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_mask: 0.0197 instance_segmentation_loss_dice: 0.1936 2024/08/15 18:25:46 - mmengine - INFO - Iter(train) [ 44100/120000] base_lr: 1.4103e-04 lr: 1.4639e-05 eta: 1 day, 19:21:48 time: 2.0478 data_time: 0.1039 memory: 11711 grad_norm: 0.7966 loss: 0.2599 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1935 2024/08/15 18:27:28 - mmengine - INFO - Iter(train) [ 44150/120000] base_lr: 1.4091e-04 lr: 1.4629e-05 eta: 1 day, 19:20:02 time: 2.0479 data_time: 0.1039 memory: 11566 grad_norm: 0.7958 loss: 0.2597 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1934 2024/08/15 18:29:11 - mmengine - INFO - Iter(train) [ 44200/120000] base_lr: 1.4080e-04 lr: 1.4618e-05 eta: 1 day, 19:18:17 time: 2.0479 data_time: 0.1042 memory: 11831 grad_norm: 0.7954 loss: 0.2602 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1938 2024/08/15 18:30:52 - mmengine - INFO - Iter(train) [ 44250/120000] base_lr: 1.4068e-04 lr: 1.4607e-05 eta: 1 day, 19:16:31 time: 2.0479 data_time: 0.1042 memory: 11623 grad_norm: 0.7959 loss: 0.2603 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1939 2024/08/15 18:32:35 - mmengine - INFO - Iter(train) [ 44300/120000] base_lr: 1.4056e-04 lr: 1.4596e-05 eta: 1 day, 19:14:46 time: 2.0479 data_time: 0.1042 memory: 11625 grad_norm: 0.7954 loss: 0.2603 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1939 2024/08/15 18:34:18 - mmengine - INFO - Iter(train) [ 44350/120000] base_lr: 1.4044e-04 lr: 1.4585e-05 eta: 1 day, 19:13:03 time: 2.0482 data_time: 0.1043 memory: 11779 grad_norm: 0.7955 loss: 0.2600 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1937 2024/08/15 18:36:00 - mmengine - INFO - Iter(train) [ 44400/120000] base_lr: 1.4032e-04 lr: 1.4575e-05 eta: 1 day, 19:11:17 time: 2.0482 data_time: 0.1044 memory: 11794 grad_norm: 0.7952 loss: 0.2602 instance_segmentation_loss_cls: 0.0466 instance_segmentation_loss_mask: 0.0197 instance_segmentation_loss_dice: 0.1939 2024/08/15 18:37:41 - mmengine - INFO - Iter(train) [ 44450/120000] base_lr: 1.4020e-04 lr: 1.4564e-05 eta: 1 day, 19:09:29 time: 2.0482 data_time: 0.1044 memory: 11742 grad_norm: 0.7959 loss: 0.2598 instance_segmentation_loss_cls: 0.0465 instance_segmentation_loss_mask: 0.0198 instance_segmentation_loss_dice: 0.1935 2024/08/15 18:39:24 - 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mmengine - INFO - Iter(train) [ 44900/120000] base_lr: 1.3913e-04 lr: 1.4466e-05 eta: 1 day, 18:53:38 time: 2.0480 data_time: 0.1038 memory: 11930 grad_norm: 0.7965 loss: 0.2573 instance_segmentation_loss_cls: 0.0461 instance_segmentation_loss_mask: 0.0196 instance_segmentation_loss_dice: 0.1917 2024/08/15 18:54:42 - mmengine - INFO - Iter(train) [ 44950/120000] base_lr: 1.3901e-04 lr: 1.4455e-05 eta: 1 day, 18:51:52 time: 2.0481 data_time: 0.1038 memory: 11582 grad_norm: 0.7961 loss: 0.2574 instance_segmentation_loss_cls: 0.0461 instance_segmentation_loss_mask: 0.0196 instance_segmentation_loss_dice: 0.1918 2024/08/15 18:56:25 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 18:56:25 - mmengine - INFO - Iter(train) [ 45000/120000] base_lr: 1.3889e-04 lr: 1.4444e-05 eta: 1 day, 18:50:09 time: 2.0483 data_time: 0.1037 memory: 11987 grad_norm: 0.7956 loss: 0.2574 instance_segmentation_loss_cls: 0.0460 instance_segmentation_loss_mask: 0.0196 instance_segmentation_loss_dice: 0.1918 2024/08/15 18:56:25 - mmengine - INFO - Saving checkpoint at 45000 iterations 2024/08/15 18:56:53 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:21 time: 0.4915 data_time: 0.0215 memory: 5705 2024/08/15 18:57:15 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:59 time: 0.4907 data_time: 0.0214 memory: 5705 2024/08/15 18:57:38 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:35 time: 0.4897 data_time: 0.0213 memory: 5705 2024/08/15 18:58:00 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:12 time: 0.4889 data_time: 0.0214 memory: 5705 2024/08/15 18:58:23 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:49 time: 0.4878 data_time: 0.0213 memory: 5705 2024/08/15 18:58:45 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:26 time: 0.4867 data_time: 0.0212 memory: 5705 2024/08/15 18:59:08 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:04 time: 0.4859 data_time: 0.0210 memory: 5705 2024/08/15 18:59:30 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:41 time: 0.4850 data_time: 0.0209 memory: 5705 2024/08/15 18:59:53 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:18 time: 0.4841 data_time: 0.0208 memory: 5705 2024/08/15 19:00:15 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:56 time: 0.4830 data_time: 0.0206 memory: 5705 2024/08/15 19:00:37 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:33 time: 0.4821 data_time: 0.0205 memory: 5705 2024/08/15 19:01:00 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.4810 data_time: 0.0204 memory: 5705 2024/08/15 19:01:17 - mmengine - INFO - Evaluating segm... 2024/08/15 19:01:43 - mmengine - INFO - segm_mAP_copypaste: 0.377 0.577 0.411 0.184 0.427 0.565 2024/08/15 19:01:43 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.3770 coco/segm_mAP_50: 0.5770 coco/segm_mAP_75: 0.4110 coco/segm_mAP_s: 0.1840 coco/segm_mAP_m: 0.4270 coco/segm_mAP_l: 0.5650 data_time: 0.0177 time: 0.4495 2024/08/15 19:03:25 - mmengine - INFO - Iter(train) [ 45050/120000] base_lr: 1.3877e-04 lr: 1.4433e-05 eta: 1 day, 18:50:24 time: 2.0552 data_time: 0.1104 memory: 11676 grad_norm: 0.7959 loss: 0.2569 instance_segmentation_loss_cls: 0.0460 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1913 2024/08/15 19:05:07 - mmengine - INFO - Iter(train) [ 45100/120000] base_lr: 1.3865e-04 lr: 1.4423e-05 eta: 1 day, 18:48:35 time: 2.0552 data_time: 0.1103 memory: 11616 grad_norm: 0.7963 loss: 0.2566 instance_segmentation_loss_cls: 0.0460 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1911 2024/08/15 19:06:48 - mmengine - INFO - Iter(train) [ 45150/120000] base_lr: 1.3853e-04 lr: 1.4412e-05 eta: 1 day, 18:46:47 time: 2.0552 data_time: 0.1105 memory: 11828 grad_norm: 0.7964 loss: 0.2568 instance_segmentation_loss_cls: 0.0459 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1914 2024/08/15 19:08:30 - mmengine - INFO - Iter(train) [ 45200/120000] base_lr: 1.3841e-04 lr: 1.4401e-05 eta: 1 day, 18:45:00 time: 2.0551 data_time: 0.1105 memory: 11701 grad_norm: 0.7964 loss: 0.2566 instance_segmentation_loss_cls: 0.0459 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1912 2024/08/15 19:10:11 - mmengine - INFO - Iter(train) [ 45250/120000] base_lr: 1.3829e-04 lr: 1.4390e-05 eta: 1 day, 18:43:12 time: 2.0548 data_time: 0.1107 memory: 11941 grad_norm: 0.7964 loss: 0.2570 instance_segmentation_loss_cls: 0.0459 instance_segmentation_loss_mask: 0.0196 instance_segmentation_loss_dice: 0.1915 2024/08/15 19:11:52 - mmengine - INFO - Iter(train) [ 45300/120000] base_lr: 1.3817e-04 lr: 1.4379e-05 eta: 1 day, 18:41:20 time: 2.0545 data_time: 0.1105 memory: 11536 grad_norm: 0.7967 loss: 0.2564 instance_segmentation_loss_cls: 0.0459 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1910 2024/08/15 19:13:32 - mmengine - INFO - Iter(train) [ 45350/120000] base_lr: 1.3805e-04 lr: 1.4368e-05 eta: 1 day, 18:39:29 time: 2.0542 data_time: 0.1105 memory: 11680 grad_norm: 0.7972 loss: 0.2570 instance_segmentation_loss_cls: 0.0459 instance_segmentation_loss_mask: 0.0196 instance_segmentation_loss_dice: 0.1916 2024/08/15 19:15:14 - mmengine - INFO - Iter(train) [ 45400/120000] base_lr: 1.3793e-04 lr: 1.4357e-05 eta: 1 day, 18:37:43 time: 2.0541 data_time: 0.1103 memory: 11731 grad_norm: 0.7969 loss: 0.2565 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1911 2024/08/15 19:16:56 - mmengine - INFO - Iter(train) [ 45450/120000] base_lr: 1.3781e-04 lr: 1.4346e-05 eta: 1 day, 18:35:56 time: 2.0541 data_time: 0.1102 memory: 11729 grad_norm: 0.7965 loss: 0.2559 instance_segmentation_loss_cls: 0.0457 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1907 2024/08/15 19:18:37 - mmengine - INFO - Iter(train) [ 45500/120000] base_lr: 1.3769e-04 lr: 1.4335e-05 eta: 1 day, 18:34:07 time: 2.0537 data_time: 0.1102 memory: 11746 grad_norm: 0.7959 loss: 0.2560 instance_segmentation_loss_cls: 0.0457 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1908 2024/08/15 19:20:18 - mmengine - INFO - Iter(train) [ 45550/120000] base_lr: 1.3757e-04 lr: 1.4324e-05 eta: 1 day, 18:32:18 time: 2.0534 data_time: 0.1102 memory: 11536 grad_norm: 0.7956 loss: 0.2559 instance_segmentation_loss_cls: 0.0457 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1907 2024/08/15 19:22:00 - mmengine - INFO - Iter(train) [ 45600/120000] base_lr: 1.3745e-04 lr: 1.4313e-05 eta: 1 day, 18:30:30 time: 2.0532 data_time: 0.1100 memory: 11558 grad_norm: 0.7951 loss: 0.2555 instance_segmentation_loss_cls: 0.0456 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1904 2024/08/15 19:23:41 - mmengine - INFO - Iter(train) [ 45650/120000] base_lr: 1.3733e-04 lr: 1.4302e-05 eta: 1 day, 18:28:40 time: 2.0531 data_time: 0.1103 memory: 11809 grad_norm: 0.7944 loss: 0.2562 instance_segmentation_loss_cls: 0.0457 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1910 2024/08/15 19:25:23 - mmengine - INFO - Iter(train) [ 45700/120000] base_lr: 1.3721e-04 lr: 1.4291e-05 eta: 1 day, 18:26:54 time: 2.0530 data_time: 0.1102 memory: 11982 grad_norm: 0.7946 loss: 0.2565 instance_segmentation_loss_cls: 0.0457 instance_segmentation_loss_mask: 0.0196 instance_segmentation_loss_dice: 0.1912 2024/08/15 19:27:04 - mmengine - INFO - Iter(train) [ 45750/120000] base_lr: 1.3708e-04 lr: 1.4280e-05 eta: 1 day, 18:25:05 time: 2.0528 data_time: 0.1101 memory: 11578 grad_norm: 0.7947 loss: 0.2563 instance_segmentation_loss_cls: 0.0457 instance_segmentation_loss_mask: 0.0196 instance_segmentation_loss_dice: 0.1910 2024/08/15 19:28:46 - mmengine - INFO - Iter(train) [ 45800/120000] base_lr: 1.3696e-04 lr: 1.4269e-05 eta: 1 day, 18:23:19 time: 2.0529 data_time: 0.1102 memory: 11854 grad_norm: 0.7947 loss: 0.2562 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_mask: 0.0196 instance_segmentation_loss_dice: 0.1909 2024/08/15 19:30:27 - mmengine - INFO - Iter(train) [ 45850/120000] base_lr: 1.3684e-04 lr: 1.4259e-05 eta: 1 day, 18:21:30 time: 2.0527 data_time: 0.1102 memory: 11606 grad_norm: 0.7946 loss: 0.2563 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_mask: 0.0196 instance_segmentation_loss_dice: 0.1909 2024/08/15 19:32:07 - mmengine - INFO - Iter(train) [ 45900/120000] base_lr: 1.3672e-04 lr: 1.4248e-05 eta: 1 day, 18:19:39 time: 2.0524 data_time: 0.1102 memory: 11767 grad_norm: 0.7948 loss: 0.2561 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_mask: 0.0196 instance_segmentation_loss_dice: 0.1907 2024/08/15 19:33:48 - mmengine - INFO - Iter(train) [ 45950/120000] base_lr: 1.3660e-04 lr: 1.4237e-05 eta: 1 day, 18:17:49 time: 2.0521 data_time: 0.1101 memory: 11708 grad_norm: 0.7951 loss: 0.2560 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1906 2024/08/15 19:35:29 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 19:35:29 - mmengine - INFO - Iter(train) [ 46000/120000] base_lr: 1.3648e-04 lr: 1.4226e-05 eta: 1 day, 18:16:00 time: 2.0516 data_time: 0.1103 memory: 11837 grad_norm: 0.7959 loss: 0.2560 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1907 2024/08/15 19:35:29 - mmengine - INFO - Saving checkpoint at 46000 iterations 2024/08/15 19:37:15 - mmengine - INFO - Iter(train) [ 46050/120000] base_lr: 1.3636e-04 lr: 1.4215e-05 eta: 1 day, 18:14:28 time: 2.0515 data_time: 0.1101 memory: 11820 grad_norm: 0.7959 loss: 0.2560 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1907 2024/08/15 19:38:56 - mmengine - INFO - Iter(train) [ 46100/120000] base_lr: 1.3624e-04 lr: 1.4204e-05 eta: 1 day, 18:12:39 time: 2.0510 data_time: 0.1099 memory: 11878 grad_norm: 0.7956 loss: 0.2562 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1908 2024/08/15 19:40:37 - mmengine - INFO - Iter(train) [ 46150/120000] base_lr: 1.3612e-04 lr: 1.4193e-05 eta: 1 day, 18:10:49 time: 2.0506 data_time: 0.1097 memory: 11919 grad_norm: 0.7952 loss: 0.2563 instance_segmentation_loss_cls: 0.0458 instance_segmentation_loss_mask: 0.0195 instance_segmentation_loss_dice: 0.1910 2024/08/15 19:42:18 - mmengine - INFO - Iter(train) [ 46200/120000] base_lr: 1.3600e-04 lr: 1.4181e-05 eta: 1 day, 18:08:59 time: 2.0501 data_time: 0.1095 memory: 11661 grad_norm: 0.7953 loss: 0.2552 instance_segmentation_loss_cls: 0.0457 instance_segmentation_loss_mask: 0.0194 instance_segmentation_loss_dice: 0.1902 2024/08/15 19:43:59 - mmengine - INFO - Iter(train) [ 46250/120000] base_lr: 1.3588e-04 lr: 1.4170e-05 eta: 1 day, 18:07:10 time: 2.0496 data_time: 0.1092 memory: 12014 grad_norm: 0.7951 loss: 0.2544 instance_segmentation_loss_cls: 0.0456 instance_segmentation_loss_mask: 0.0193 instance_segmentation_loss_dice: 0.1895 2024/08/15 19:45:40 - mmengine - INFO - Iter(train) [ 46300/120000] base_lr: 1.3575e-04 lr: 1.4159e-05 eta: 1 day, 18:05:21 time: 2.0494 data_time: 0.1092 memory: 11880 grad_norm: 0.7950 loss: 0.2545 instance_segmentation_loss_cls: 0.0456 instance_segmentation_loss_mask: 0.0194 instance_segmentation_loss_dice: 0.1895 2024/08/15 19:47:21 - mmengine - INFO - Iter(train) [ 46350/120000] base_lr: 1.3563e-04 lr: 1.4148e-05 eta: 1 day, 18:03:31 time: 2.0489 data_time: 0.1091 memory: 11913 grad_norm: 0.7947 loss: 0.2544 instance_segmentation_loss_cls: 0.0456 instance_segmentation_loss_mask: 0.0194 instance_segmentation_loss_dice: 0.1894 2024/08/15 19:49:02 - mmengine - INFO - Iter(train) [ 46400/120000] base_lr: 1.3551e-04 lr: 1.4137e-05 eta: 1 day, 18:01:43 time: 2.0487 data_time: 0.1090 memory: 11536 grad_norm: 0.7937 loss: 0.2544 instance_segmentation_loss_cls: 0.0456 instance_segmentation_loss_mask: 0.0194 instance_segmentation_loss_dice: 0.1895 2024/08/15 19:50:43 - mmengine - INFO - Iter(train) [ 46450/120000] base_lr: 1.3539e-04 lr: 1.4126e-05 eta: 1 day, 17:59:56 time: 2.0485 data_time: 0.1088 memory: 11584 grad_norm: 0.7940 loss: 0.2538 instance_segmentation_loss_cls: 0.0454 instance_segmentation_loss_mask: 0.0193 instance_segmentation_loss_dice: 0.1890 2024/08/15 19:52:24 - mmengine - INFO - Iter(train) [ 46500/120000] base_lr: 1.3527e-04 lr: 1.4115e-05 eta: 1 day, 17:58:07 time: 2.0482 data_time: 0.1088 memory: 12230 grad_norm: 0.7941 loss: 0.2541 instance_segmentation_loss_cls: 0.0455 instance_segmentation_loss_mask: 0.0193 instance_segmentation_loss_dice: 0.1893 2024/08/15 19:54:06 - mmengine - INFO - Iter(train) [ 46550/120000] base_lr: 1.3515e-04 lr: 1.4104e-05 eta: 1 day, 17:56:20 time: 2.0480 data_time: 0.1086 memory: 11697 grad_norm: 0.7934 loss: 0.2532 instance_segmentation_loss_cls: 0.0453 instance_segmentation_loss_mask: 0.0192 instance_segmentation_loss_dice: 0.1887 2024/08/15 19:55:46 - mmengine - INFO - Iter(train) [ 46600/120000] base_lr: 1.3502e-04 lr: 1.4093e-05 eta: 1 day, 17:54:29 time: 2.0474 data_time: 0.1086 memory: 11778 grad_norm: 0.7940 loss: 0.2531 instance_segmentation_loss_cls: 0.0453 instance_segmentation_loss_mask: 0.0192 instance_segmentation_loss_dice: 0.1886 2024/08/15 19:57:27 - mmengine - INFO - Iter(train) [ 46650/120000] base_lr: 1.3490e-04 lr: 1.4082e-05 eta: 1 day, 17:52:40 time: 2.0470 data_time: 0.1087 memory: 11536 grad_norm: 0.7941 loss: 0.2534 instance_segmentation_loss_cls: 0.0453 instance_segmentation_loss_mask: 0.0192 instance_segmentation_loss_dice: 0.1888 2024/08/15 19:59:08 - mmengine - INFO - Iter(train) [ 46700/120000] base_lr: 1.3478e-04 lr: 1.4071e-05 eta: 1 day, 17:50:50 time: 2.0467 data_time: 0.1087 memory: 11668 grad_norm: 0.7936 loss: 0.2535 instance_segmentation_loss_cls: 0.0453 instance_segmentation_loss_mask: 0.0192 instance_segmentation_loss_dice: 0.1890 2024/08/15 20:00:49 - mmengine - INFO - Iter(train) [ 46750/120000] base_lr: 1.3466e-04 lr: 1.4060e-05 eta: 1 day, 17:49:00 time: 2.0463 data_time: 0.1088 memory: 11965 grad_norm: 0.7932 loss: 0.2536 instance_segmentation_loss_cls: 0.0453 instance_segmentation_loss_mask: 0.0192 instance_segmentation_loss_dice: 0.1891 2024/08/15 20:02:29 - mmengine - INFO - Iter(train) [ 46800/120000] base_lr: 1.3454e-04 lr: 1.4049e-05 eta: 1 day, 17:47:11 time: 2.0460 data_time: 0.1090 memory: 11711 grad_norm: 0.7931 loss: 0.2536 instance_segmentation_loss_cls: 0.0452 instance_segmentation_loss_mask: 0.0192 instance_segmentation_loss_dice: 0.1891 2024/08/15 20:04:11 - mmengine - INFO - Iter(train) [ 46850/120000] base_lr: 1.3442e-04 lr: 1.4038e-05 eta: 1 day, 17:45:25 time: 2.0457 data_time: 0.1092 memory: 11619 grad_norm: 0.7931 loss: 0.2539 instance_segmentation_loss_cls: 0.0453 instance_segmentation_loss_mask: 0.0192 instance_segmentation_loss_dice: 0.1894 2024/08/15 20:05:52 - mmengine - INFO - Iter(train) [ 46900/120000] base_lr: 1.3429e-04 lr: 1.4027e-05 eta: 1 day, 17:43:35 time: 2.0452 data_time: 0.1094 memory: 11716 grad_norm: 0.7935 loss: 0.2541 instance_segmentation_loss_cls: 0.0453 instance_segmentation_loss_mask: 0.0192 instance_segmentation_loss_dice: 0.1896 2024/08/15 20:07:33 - mmengine - INFO - Iter(train) [ 46950/120000] base_lr: 1.3417e-04 lr: 1.4016e-05 eta: 1 day, 17:41:46 time: 2.0449 data_time: 0.1095 memory: 11655 grad_norm: 0.7926 loss: 0.2540 instance_segmentation_loss_cls: 0.0452 instance_segmentation_loss_mask: 0.0192 instance_segmentation_loss_dice: 0.1896 2024/08/15 20:09:14 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 20:09:14 - mmengine - INFO - Iter(train) [ 47000/120000] base_lr: 1.3405e-04 lr: 1.4004e-05 eta: 1 day, 17:39:58 time: 2.0445 data_time: 0.1095 memory: 11768 grad_norm: 0.7920 loss: 0.2537 instance_segmentation_loss_cls: 0.0452 instance_segmentation_loss_mask: 0.0191 instance_segmentation_loss_dice: 0.1894 2024/08/15 20:09:14 - mmengine - INFO - Saving checkpoint at 47000 iterations 2024/08/15 20:11:00 - mmengine - INFO - Iter(train) [ 47050/120000] base_lr: 1.3393e-04 lr: 1.3993e-05 eta: 1 day, 17:38:25 time: 2.0443 data_time: 0.1094 memory: 11558 grad_norm: 0.7920 loss: 0.2537 instance_segmentation_loss_cls: 0.0452 instance_segmentation_loss_mask: 0.0191 instance_segmentation_loss_dice: 0.1895 2024/08/15 20:12:41 - mmengine - INFO - Iter(train) [ 47100/120000] base_lr: 1.3380e-04 lr: 1.3982e-05 eta: 1 day, 17:36:37 time: 2.0441 data_time: 0.1092 memory: 12403 grad_norm: 0.7919 loss: 0.2534 instance_segmentation_loss_cls: 0.0451 instance_segmentation_loss_mask: 0.0191 instance_segmentation_loss_dice: 0.1892 2024/08/15 20:14:22 - mmengine - INFO - Iter(train) [ 47150/120000] base_lr: 1.3368e-04 lr: 1.3971e-05 eta: 1 day, 17:34:49 time: 2.0440 data_time: 0.1094 memory: 11725 grad_norm: 0.7915 loss: 0.2540 instance_segmentation_loss_cls: 0.0451 instance_segmentation_loss_mask: 0.0191 instance_segmentation_loss_dice: 0.1898 2024/08/15 20:16:03 - mmengine - INFO - Iter(train) [ 47200/120000] base_lr: 1.3356e-04 lr: 1.3960e-05 eta: 1 day, 17:33:00 time: 2.0436 data_time: 0.1094 memory: 11806 grad_norm: 0.7915 loss: 0.2537 instance_segmentation_loss_cls: 0.0451 instance_segmentation_loss_mask: 0.0191 instance_segmentation_loss_dice: 0.1896 2024/08/15 20:17:42 - mmengine - INFO - Iter(train) [ 47250/120000] base_lr: 1.3344e-04 lr: 1.3949e-05 eta: 1 day, 17:31:08 time: 2.0432 data_time: 0.1093 memory: 11710 grad_norm: 0.7913 loss: 0.2531 instance_segmentation_loss_cls: 0.0449 instance_segmentation_loss_mask: 0.0190 instance_segmentation_loss_dice: 0.1892 2024/08/15 20:19:22 - mmengine - INFO - Iter(train) [ 47300/120000] base_lr: 1.3332e-04 lr: 1.3938e-05 eta: 1 day, 17:29:16 time: 2.0426 data_time: 0.1094 memory: 11614 grad_norm: 0.7912 loss: 0.2533 instance_segmentation_loss_cls: 0.0449 instance_segmentation_loss_mask: 0.0190 instance_segmentation_loss_dice: 0.1893 2024/08/15 20:21:03 - mmengine - INFO - Iter(train) [ 47350/120000] base_lr: 1.3319e-04 lr: 1.3927e-05 eta: 1 day, 17:27:26 time: 2.0422 data_time: 0.1094 memory: 11741 grad_norm: 0.7918 loss: 0.2531 instance_segmentation_loss_cls: 0.0450 instance_segmentation_loss_mask: 0.0190 instance_segmentation_loss_dice: 0.1891 2024/08/15 20:22:44 - mmengine - INFO - Iter(train) [ 47400/120000] base_lr: 1.3307e-04 lr: 1.3915e-05 eta: 1 day, 17:25:38 time: 2.0418 data_time: 0.1094 memory: 11720 grad_norm: 0.7917 loss: 0.2536 instance_segmentation_loss_cls: 0.0450 instance_segmentation_loss_mask: 0.0190 instance_segmentation_loss_dice: 0.1895 2024/08/15 20:24:24 - mmengine - INFO - Iter(train) [ 47450/120000] base_lr: 1.3295e-04 lr: 1.3904e-05 eta: 1 day, 17:23:46 time: 2.0412 data_time: 0.1093 memory: 11969 grad_norm: 0.7913 loss: 0.2534 instance_segmentation_loss_cls: 0.0450 instance_segmentation_loss_mask: 0.0190 instance_segmentation_loss_dice: 0.1894 2024/08/15 20:26:04 - mmengine - INFO - Iter(train) [ 47500/120000] base_lr: 1.3282e-04 lr: 1.3893e-05 eta: 1 day, 17:21:57 time: 2.0408 data_time: 0.1093 memory: 11902 grad_norm: 0.7915 loss: 0.2532 instance_segmentation_loss_cls: 0.0450 instance_segmentation_loss_mask: 0.0190 instance_segmentation_loss_dice: 0.1892 2024/08/15 20:27:46 - 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mmengine - INFO - Iter(train) [ 48300/120000] base_lr: 1.3085e-04 lr: 1.3714e-05 eta: 1 day, 16:53:21 time: 2.0356 data_time: 0.1077 memory: 12056 grad_norm: 0.7918 loss: 0.2524 instance_segmentation_loss_cls: 0.0446 instance_segmentation_loss_mask: 0.0190 instance_segmentation_loss_dice: 0.1888 2024/08/15 20:54:46 - mmengine - INFO - Iter(train) [ 48350/120000] base_lr: 1.3073e-04 lr: 1.3703e-05 eta: 1 day, 16:51:35 time: 2.0353 data_time: 0.1075 memory: 11536 grad_norm: 0.7918 loss: 0.2519 instance_segmentation_loss_cls: 0.0445 instance_segmentation_loss_mask: 0.0189 instance_segmentation_loss_dice: 0.1884 2024/08/15 20:56:27 - mmengine - INFO - Iter(train) [ 48400/120000] base_lr: 1.3061e-04 lr: 1.3692e-05 eta: 1 day, 16:49:48 time: 2.0351 data_time: 0.1071 memory: 11536 grad_norm: 0.7919 loss: 0.2513 instance_segmentation_loss_cls: 0.0445 instance_segmentation_loss_mask: 0.0189 instance_segmentation_loss_dice: 0.1879 2024/08/15 20:58:08 - mmengine - INFO - Iter(train) [ 48450/120000] base_lr: 1.3048e-04 lr: 1.3680e-05 eta: 1 day, 16:47:59 time: 2.0349 data_time: 0.1070 memory: 11910 grad_norm: 0.7915 loss: 0.2517 instance_segmentation_loss_cls: 0.0445 instance_segmentation_loss_mask: 0.0190 instance_segmentation_loss_dice: 0.1882 2024/08/15 20:59:49 - mmengine - INFO - Iter(train) [ 48500/120000] base_lr: 1.3036e-04 lr: 1.3669e-05 eta: 1 day, 16:46:12 time: 2.0346 data_time: 0.1070 memory: 12111 grad_norm: 0.7920 loss: 0.2522 instance_segmentation_loss_cls: 0.0446 instance_segmentation_loss_mask: 0.0189 instance_segmentation_loss_dice: 0.1886 2024/08/15 21:01:30 - mmengine - INFO - Iter(train) [ 48550/120000] base_lr: 1.3024e-04 lr: 1.3658e-05 eta: 1 day, 16:44:24 time: 2.0341 data_time: 0.1068 memory: 11569 grad_norm: 0.7918 loss: 0.2522 instance_segmentation_loss_cls: 0.0446 instance_segmentation_loss_mask: 0.0190 instance_segmentation_loss_dice: 0.1886 2024/08/15 21:03:11 - mmengine - INFO - Iter(train) [ 48600/120000] base_lr: 1.3011e-04 lr: 1.3647e-05 eta: 1 day, 16:42:37 time: 2.0340 data_time: 0.1068 memory: 11834 grad_norm: 0.7911 loss: 0.2524 instance_segmentation_loss_cls: 0.0446 instance_segmentation_loss_mask: 0.0189 instance_segmentation_loss_dice: 0.1889 2024/08/15 21:04:52 - mmengine - INFO - Iter(train) [ 48650/120000] base_lr: 1.2999e-04 lr: 1.3635e-05 eta: 1 day, 16:40:51 time: 2.0340 data_time: 0.1068 memory: 12079 grad_norm: 0.7912 loss: 0.2522 instance_segmentation_loss_cls: 0.0445 instance_segmentation_loss_mask: 0.0189 instance_segmentation_loss_dice: 0.1888 2024/08/15 21:06:34 - mmengine - INFO - Iter(train) [ 48700/120000] base_lr: 1.2986e-04 lr: 1.3624e-05 eta: 1 day, 16:39:05 time: 2.0339 data_time: 0.1068 memory: 11658 grad_norm: 0.7914 loss: 0.2520 instance_segmentation_loss_cls: 0.0445 instance_segmentation_loss_mask: 0.0189 instance_segmentation_loss_dice: 0.1885 2024/08/15 21:08:15 - mmengine - INFO - Iter(train) [ 48750/120000] base_lr: 1.2974e-04 lr: 1.3613e-05 eta: 1 day, 16:37:19 time: 2.0335 data_time: 0.1068 memory: 11600 grad_norm: 0.7918 loss: 0.2521 instance_segmentation_loss_cls: 0.0445 instance_segmentation_loss_mask: 0.0189 instance_segmentation_loss_dice: 0.1887 2024/08/15 21:09:57 - mmengine - INFO - Iter(train) [ 48800/120000] base_lr: 1.2962e-04 lr: 1.3602e-05 eta: 1 day, 16:35:32 time: 2.0335 data_time: 0.1068 memory: 11536 grad_norm: 0.7910 loss: 0.2518 instance_segmentation_loss_cls: 0.0445 instance_segmentation_loss_mask: 0.0189 instance_segmentation_loss_dice: 0.1884 2024/08/15 21:11:38 - mmengine - INFO - Iter(train) [ 48850/120000] base_lr: 1.2949e-04 lr: 1.3590e-05 eta: 1 day, 16:33:46 time: 2.0334 data_time: 0.1072 memory: 11966 grad_norm: 0.7915 loss: 0.2530 instance_segmentation_loss_cls: 0.0446 instance_segmentation_loss_mask: 0.0190 instance_segmentation_loss_dice: 0.1894 2024/08/15 21:13:19 - 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mmengine - INFO - Saving checkpoint at 49000 iterations 2024/08/15 21:18:27 - mmengine - INFO - Iter(train) [ 49050/120000] base_lr: 1.2900e-04 lr: 1.3545e-05 eta: 1 day, 16:26:51 time: 2.0253 data_time: 0.1005 memory: 11664 grad_norm: 0.7920 loss: 0.2529 instance_segmentation_loss_cls: 0.0446 instance_segmentation_loss_mask: 0.0189 instance_segmentation_loss_dice: 0.1894 2024/08/15 21:20:08 - mmengine - INFO - Iter(train) [ 49100/120000] base_lr: 1.2887e-04 lr: 1.3534e-05 eta: 1 day, 16:25:05 time: 2.0253 data_time: 0.1006 memory: 11589 grad_norm: 0.7915 loss: 0.2528 instance_segmentation_loss_cls: 0.0446 instance_segmentation_loss_mask: 0.0189 instance_segmentation_loss_dice: 0.1893 2024/08/15 21:21:50 - mmengine - INFO - Iter(train) [ 49150/120000] base_lr: 1.2875e-04 lr: 1.3522e-05 eta: 1 day, 16:23:18 time: 2.0252 data_time: 0.1004 memory: 11821 grad_norm: 0.7911 loss: 0.2528 instance_segmentation_loss_cls: 0.0447 instance_segmentation_loss_mask: 0.0190 instance_segmentation_loss_dice: 0.1891 2024/08/15 21:23:30 - 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mmengine - INFO - Iter(train) [ 49800/120000] base_lr: 1.2713e-04 lr: 1.3375e-05 eta: 1 day, 16:00:08 time: 2.0243 data_time: 0.1001 memory: 12390 grad_norm: 0.7914 loss: 0.2505 instance_segmentation_loss_cls: 0.0444 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1874 2024/08/15 21:45:25 - mmengine - INFO - Iter(train) [ 49850/120000] base_lr: 1.2700e-04 lr: 1.3364e-05 eta: 1 day, 15:58:20 time: 2.0243 data_time: 0.1003 memory: 12252 grad_norm: 0.7914 loss: 0.2508 instance_segmentation_loss_cls: 0.0443 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1877 2024/08/15 21:47:06 - mmengine - INFO - Iter(train) [ 49900/120000] base_lr: 1.2688e-04 lr: 1.3352e-05 eta: 1 day, 15:56:33 time: 2.0244 data_time: 0.1004 memory: 11590 grad_norm: 0.7914 loss: 0.2510 instance_segmentation_loss_cls: 0.0443 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1880 2024/08/15 21:48:46 - mmengine - INFO - Iter(train) [ 49950/120000] base_lr: 1.2675e-04 lr: 1.3341e-05 eta: 1 day, 15:54:45 time: 2.0244 data_time: 0.1002 memory: 11598 grad_norm: 0.7914 loss: 0.2501 instance_segmentation_loss_cls: 0.0441 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1872 2024/08/15 21:50:28 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 21:50:28 - mmengine - INFO - Iter(train) [ 50000/120000] base_lr: 1.2663e-04 lr: 1.3330e-05 eta: 1 day, 15:53:00 time: 2.0245 data_time: 0.1000 memory: 11536 grad_norm: 0.7903 loss: 0.2500 instance_segmentation_loss_cls: 0.0441 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1872 2024/08/15 21:50:28 - mmengine - INFO - Saving checkpoint at 50000 iterations 2024/08/15 21:50:55 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:20 time: 0.4795 data_time: 0.0202 memory: 5705 2024/08/15 21:51:18 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:57 time: 0.4786 data_time: 0.0202 memory: 5705 2024/08/15 21:51:40 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:33 time: 0.4777 data_time: 0.0200 memory: 5705 2024/08/15 21:52:03 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:11 time: 0.4770 data_time: 0.0201 memory: 5705 2024/08/15 21:52:25 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:48 time: 0.4760 data_time: 0.0200 memory: 5705 2024/08/15 21:52:48 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:26 time: 0.4750 data_time: 0.0199 memory: 5705 2024/08/15 21:53:11 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:04 time: 0.4742 data_time: 0.0198 memory: 5705 2024/08/15 21:53:33 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:41 time: 0.4735 data_time: 0.0197 memory: 5705 2024/08/15 21:53:55 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:18 time: 0.4724 data_time: 0.0197 memory: 5705 2024/08/15 21:54:18 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:56 time: 0.4714 data_time: 0.0195 memory: 5705 2024/08/15 21:54:40 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:33 time: 0.4703 data_time: 0.0193 memory: 5705 2024/08/15 21:55:03 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.4694 data_time: 0.0192 memory: 5705 2024/08/15 21:55:20 - mmengine - INFO - Evaluating segm... 2024/08/15 21:55:47 - mmengine - INFO - segm_mAP_copypaste: 0.382 0.584 0.416 0.188 0.431 0.574 2024/08/15 21:55:47 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.3820 coco/segm_mAP_50: 0.5840 coco/segm_mAP_75: 0.4160 coco/segm_mAP_s: 0.1880 coco/segm_mAP_m: 0.4310 coco/segm_mAP_l: 0.5740 data_time: 0.0175 time: 0.4504 2024/08/15 21:57:29 - mmengine - INFO - Iter(train) [ 50050/120000] base_lr: 1.2650e-04 lr: 1.3318e-05 eta: 1 day, 15:52:47 time: 2.0317 data_time: 0.1073 memory: 11811 grad_norm: 0.7908 loss: 0.2499 instance_segmentation_loss_cls: 0.0441 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1871 2024/08/15 21:59:12 - mmengine - INFO - Iter(train) [ 50100/120000] base_lr: 1.2638e-04 lr: 1.3307e-05 eta: 1 day, 15:51:04 time: 2.0321 data_time: 0.1075 memory: 11813 grad_norm: 0.7902 loss: 0.2496 instance_segmentation_loss_cls: 0.0440 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1869 2024/08/15 22:00:53 - mmengine - INFO - Iter(train) [ 50150/120000] base_lr: 1.2625e-04 lr: 1.3295e-05 eta: 1 day, 15:49:19 time: 2.0322 data_time: 0.1079 memory: 11911 grad_norm: 0.7902 loss: 0.2498 instance_segmentation_loss_cls: 0.0440 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1871 2024/08/15 22:02:36 - mmengine - INFO - Iter(train) [ 50200/120000] base_lr: 1.2612e-04 lr: 1.3284e-05 eta: 1 day, 15:47:35 time: 2.0327 data_time: 0.1081 memory: 11833 grad_norm: 0.7901 loss: 0.2500 instance_segmentation_loss_cls: 0.0440 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1872 2024/08/15 22:04:17 - mmengine - INFO - Iter(train) [ 50250/120000] base_lr: 1.2600e-04 lr: 1.3273e-05 eta: 1 day, 15:45:49 time: 2.0328 data_time: 0.1081 memory: 11614 grad_norm: 0.7901 loss: 0.2499 instance_segmentation_loss_cls: 0.0439 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1872 2024/08/15 22:05:57 - mmengine - INFO - Iter(train) [ 50300/120000] base_lr: 1.2587e-04 lr: 1.3261e-05 eta: 1 day, 15:44:01 time: 2.0326 data_time: 0.1081 memory: 11766 grad_norm: 0.7900 loss: 0.2496 instance_segmentation_loss_cls: 0.0439 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1870 2024/08/15 22:07:38 - mmengine - INFO - Iter(train) [ 50350/120000] base_lr: 1.2575e-04 lr: 1.3250e-05 eta: 1 day, 15:42:14 time: 2.0327 data_time: 0.1083 memory: 11535 grad_norm: 0.7896 loss: 0.2498 instance_segmentation_loss_cls: 0.0439 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1872 2024/08/15 22:09:19 - mmengine - INFO - Iter(train) [ 50400/120000] base_lr: 1.2562e-04 lr: 1.3238e-05 eta: 1 day, 15:40:27 time: 2.0326 data_time: 0.1086 memory: 11716 grad_norm: 0.7898 loss: 0.2501 instance_segmentation_loss_cls: 0.0440 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1874 2024/08/15 22:11:01 - mmengine - INFO - Iter(train) [ 50450/120000] base_lr: 1.2550e-04 lr: 1.3227e-05 eta: 1 day, 15:38:41 time: 2.0326 data_time: 0.1085 memory: 11798 grad_norm: 0.7898 loss: 0.2497 instance_segmentation_loss_cls: 0.0439 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1870 2024/08/15 22:12:43 - mmengine - INFO - Iter(train) [ 50500/120000] base_lr: 1.2537e-04 lr: 1.3216e-05 eta: 1 day, 15:36:57 time: 2.0329 data_time: 0.1087 memory: 11921 grad_norm: 0.7898 loss: 0.2498 instance_segmentation_loss_cls: 0.0439 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1871 2024/08/15 22:14:24 - mmengine - INFO - Iter(train) [ 50550/120000] base_lr: 1.2525e-04 lr: 1.3204e-05 eta: 1 day, 15:35:10 time: 2.0328 data_time: 0.1089 memory: 11640 grad_norm: 0.7897 loss: 0.2504 instance_segmentation_loss_cls: 0.0440 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1876 2024/08/15 22:16:06 - mmengine - INFO - Iter(train) [ 50600/120000] base_lr: 1.2512e-04 lr: 1.3193e-05 eta: 1 day, 15:33:26 time: 2.0332 data_time: 0.1089 memory: 11535 grad_norm: 0.7888 loss: 0.2502 instance_segmentation_loss_cls: 0.0439 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1875 2024/08/15 22:17:47 - mmengine - INFO - Iter(train) [ 50650/120000] base_lr: 1.2499e-04 lr: 1.3181e-05 eta: 1 day, 15:31:39 time: 2.0332 data_time: 0.1090 memory: 12064 grad_norm: 0.7889 loss: 0.2503 instance_segmentation_loss_cls: 0.0439 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1876 2024/08/15 22:19:28 - mmengine - INFO - Iter(train) [ 50700/120000] base_lr: 1.2487e-04 lr: 1.3170e-05 eta: 1 day, 15:29:53 time: 2.0333 data_time: 0.1089 memory: 11803 grad_norm: 0.7895 loss: 0.2498 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1872 2024/08/15 22:21:10 - mmengine - INFO - Iter(train) [ 50750/120000] base_lr: 1.2474e-04 lr: 1.3158e-05 eta: 1 day, 15:28:07 time: 2.0336 data_time: 0.1089 memory: 11834 grad_norm: 0.7900 loss: 0.2496 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1870 2024/08/15 22:22:52 - mmengine - INFO - Iter(train) [ 50800/120000] base_lr: 1.2462e-04 lr: 1.3147e-05 eta: 1 day, 15:26:22 time: 2.0338 data_time: 0.1089 memory: 11598 grad_norm: 0.7898 loss: 0.2496 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1870 2024/08/15 22:24:33 - mmengine - INFO - Iter(train) [ 50850/120000] base_lr: 1.2449e-04 lr: 1.3136e-05 eta: 1 day, 15:24:37 time: 2.0338 data_time: 0.1088 memory: 11691 grad_norm: 0.7899 loss: 0.2493 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1868 2024/08/15 22:26:15 - mmengine - INFO - Iter(train) [ 50900/120000] base_lr: 1.2437e-04 lr: 1.3124e-05 eta: 1 day, 15:22:51 time: 2.0339 data_time: 0.1089 memory: 11615 grad_norm: 0.7894 loss: 0.2493 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1868 2024/08/15 22:27:56 - mmengine - INFO - Iter(train) [ 50950/120000] base_lr: 1.2424e-04 lr: 1.3113e-05 eta: 1 day, 15:21:05 time: 2.0340 data_time: 0.1089 memory: 11956 grad_norm: 0.7897 loss: 0.2492 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1866 2024/08/15 22:29:37 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 22:29:37 - mmengine - INFO - Iter(train) [ 51000/120000] base_lr: 1.2411e-04 lr: 1.3101e-05 eta: 1 day, 15:19:18 time: 2.0339 data_time: 0.1089 memory: 11999 grad_norm: 0.7897 loss: 0.2494 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1867 2024/08/15 22:29:37 - mmengine - INFO - Saving checkpoint at 51000 iterations 2024/08/15 22:31:23 - mmengine - INFO - Iter(train) [ 51050/120000] base_lr: 1.2399e-04 lr: 1.3090e-05 eta: 1 day, 15:17:45 time: 2.0340 data_time: 0.1090 memory: 11654 grad_norm: 0.7899 loss: 0.2496 instance_segmentation_loss_cls: 0.0439 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1869 2024/08/15 22:33:05 - mmengine - INFO - Iter(train) [ 51100/120000] base_lr: 1.2386e-04 lr: 1.3078e-05 eta: 1 day, 15:16:01 time: 2.0343 data_time: 0.1089 memory: 11719 grad_norm: 0.7891 loss: 0.2494 instance_segmentation_loss_cls: 0.0439 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1868 2024/08/15 22:34:47 - mmengine - INFO - Iter(train) [ 51150/120000] base_lr: 1.2374e-04 lr: 1.3067e-05 eta: 1 day, 15:14:18 time: 2.0347 data_time: 0.1089 memory: 11772 grad_norm: 0.7890 loss: 0.2491 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1865 2024/08/15 22:36:31 - mmengine - INFO - Iter(train) [ 51200/120000] base_lr: 1.2361e-04 lr: 1.3055e-05 eta: 1 day, 15:12:37 time: 2.0353 data_time: 0.1090 memory: 12072 grad_norm: 0.7891 loss: 0.2495 instance_segmentation_loss_cls: 0.0439 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1869 2024/08/15 22:38:13 - mmengine - INFO - Iter(train) [ 51250/120000] base_lr: 1.2348e-04 lr: 1.3044e-05 eta: 1 day, 15:10:53 time: 2.0358 data_time: 0.1091 memory: 11657 grad_norm: 0.7892 loss: 0.2498 instance_segmentation_loss_cls: 0.0439 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1871 2024/08/15 22:39:55 - mmengine - INFO - Iter(train) [ 51300/120000] base_lr: 1.2336e-04 lr: 1.3032e-05 eta: 1 day, 15:09:11 time: 2.0365 data_time: 0.1091 memory: 11706 grad_norm: 0.7893 loss: 0.2495 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1870 2024/08/15 22:41:37 - mmengine - INFO - Iter(train) [ 51350/120000] base_lr: 1.2323e-04 lr: 1.3021e-05 eta: 1 day, 15:07:26 time: 2.0368 data_time: 0.1093 memory: 11680 grad_norm: 0.7886 loss: 0.2494 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1869 2024/08/15 22:43:19 - mmengine - INFO - Iter(train) [ 51400/120000] base_lr: 1.2310e-04 lr: 1.3009e-05 eta: 1 day, 15:05:41 time: 2.0369 data_time: 0.1093 memory: 11573 grad_norm: 0.7886 loss: 0.2488 instance_segmentation_loss_cls: 0.0437 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1864 2024/08/15 22:45:00 - mmengine - INFO - Iter(train) [ 51450/120000] base_lr: 1.2298e-04 lr: 1.2998e-05 eta: 1 day, 15:03:55 time: 2.0373 data_time: 0.1094 memory: 11583 grad_norm: 0.7888 loss: 0.2489 instance_segmentation_loss_cls: 0.0437 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1865 2024/08/15 22:46:42 - mmengine - INFO - Iter(train) [ 51500/120000] base_lr: 1.2285e-04 lr: 1.2987e-05 eta: 1 day, 15:02:10 time: 2.0375 data_time: 0.1094 memory: 11849 grad_norm: 0.7886 loss: 0.2488 instance_segmentation_loss_cls: 0.0436 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1865 2024/08/15 22:48:24 - mmengine - INFO - Iter(train) [ 51550/120000] base_lr: 1.2273e-04 lr: 1.2975e-05 eta: 1 day, 15:00:26 time: 2.0377 data_time: 0.1095 memory: 11665 grad_norm: 0.7883 loss: 0.2488 instance_segmentation_loss_cls: 0.0437 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1864 2024/08/15 22:50:06 - mmengine - INFO - Iter(train) [ 51600/120000] base_lr: 1.2260e-04 lr: 1.2964e-05 eta: 1 day, 14:58:41 time: 2.0381 data_time: 0.1097 memory: 11701 grad_norm: 0.7886 loss: 0.2492 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1867 2024/08/15 22:51:47 - mmengine - INFO - Iter(train) [ 51650/120000] base_lr: 1.2247e-04 lr: 1.2952e-05 eta: 1 day, 14:56:56 time: 2.0382 data_time: 0.1099 memory: 11766 grad_norm: 0.7890 loss: 0.2499 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1873 2024/08/15 22:53:29 - mmengine - INFO - Iter(train) [ 51700/120000] base_lr: 1.2235e-04 lr: 1.2941e-05 eta: 1 day, 14:55:11 time: 2.0383 data_time: 0.1101 memory: 11815 grad_norm: 0.7885 loss: 0.2503 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1876 2024/08/15 22:55:11 - mmengine - INFO - Iter(train) [ 51750/120000] base_lr: 1.2222e-04 lr: 1.2929e-05 eta: 1 day, 14:53:27 time: 2.0386 data_time: 0.1101 memory: 11977 grad_norm: 0.7884 loss: 0.2501 instance_segmentation_loss_cls: 0.0438 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1875 2024/08/15 22:56:53 - mmengine - INFO - Iter(train) [ 51800/120000] base_lr: 1.2209e-04 lr: 1.2918e-05 eta: 1 day, 14:51:44 time: 2.0391 data_time: 0.1100 memory: 11805 grad_norm: 0.7885 loss: 0.2492 instance_segmentation_loss_cls: 0.0437 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1868 2024/08/15 22:58:35 - mmengine - INFO - Iter(train) [ 51850/120000] base_lr: 1.2197e-04 lr: 1.2906e-05 eta: 1 day, 14:50:01 time: 2.0393 data_time: 0.1101 memory: 12351 grad_norm: 0.7879 loss: 0.2492 instance_segmentation_loss_cls: 0.0437 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1867 2024/08/15 23:00:17 - mmengine - INFO - Iter(train) [ 51900/120000] base_lr: 1.2184e-04 lr: 1.2894e-05 eta: 1 day, 14:48:16 time: 2.0395 data_time: 0.1103 memory: 12245 grad_norm: 0.7877 loss: 0.2496 instance_segmentation_loss_cls: 0.0437 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1870 2024/08/15 23:01:58 - mmengine - INFO - Iter(train) [ 51950/120000] base_lr: 1.2171e-04 lr: 1.2883e-05 eta: 1 day, 14:46:30 time: 2.0396 data_time: 0.1102 memory: 11715 grad_norm: 0.7879 loss: 0.2489 instance_segmentation_loss_cls: 0.0437 instance_segmentation_loss_mask: 0.0188 instance_segmentation_loss_dice: 0.1864 2024/08/15 23:03:40 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/15 23:03:40 - mmengine - INFO - Iter(train) [ 52000/120000] base_lr: 1.2159e-04 lr: 1.2871e-05 eta: 1 day, 14:44:45 time: 2.0398 data_time: 0.1104 memory: 11745 grad_norm: 0.7875 loss: 0.2491 instance_segmentation_loss_cls: 0.0436 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1867 2024/08/15 23:03:40 - mmengine - INFO - Saving checkpoint at 52000 iterations 2024/08/15 23:05:26 - mmengine - INFO - Iter(train) [ 52050/120000] base_lr: 1.2146e-04 lr: 1.2860e-05 eta: 1 day, 14:43:12 time: 2.0399 data_time: 0.1104 memory: 11644 grad_norm: 0.7878 loss: 0.2490 instance_segmentation_loss_cls: 0.0437 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1866 2024/08/15 23:07:08 - mmengine - INFO - Iter(train) [ 52100/120000] base_lr: 1.2133e-04 lr: 1.2848e-05 eta: 1 day, 14:41:27 time: 2.0399 data_time: 0.1109 memory: 11712 grad_norm: 0.7877 loss: 0.2496 instance_segmentation_loss_cls: 0.0437 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1872 2024/08/15 23:08:50 - mmengine - INFO - Iter(train) [ 52150/120000] base_lr: 1.2121e-04 lr: 1.2837e-05 eta: 1 day, 14:39:43 time: 2.0403 data_time: 0.1113 memory: 11800 grad_norm: 0.7869 loss: 0.2499 instance_segmentation_loss_cls: 0.0437 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1875 2024/08/15 23:10:32 - mmengine - INFO - Iter(train) [ 52200/120000] base_lr: 1.2108e-04 lr: 1.2825e-05 eta: 1 day, 14:37:58 time: 2.0406 data_time: 0.1116 memory: 11535 grad_norm: 0.7871 loss: 0.2496 instance_segmentation_loss_cls: 0.0437 instance_segmentation_loss_mask: 0.0187 instance_segmentation_loss_dice: 0.1872 2024/08/15 23:12:12 - mmengine - INFO - Iter(train) [ 52250/120000] base_lr: 1.2095e-04 lr: 1.2814e-05 eta: 1 day, 14:36:11 time: 2.0407 data_time: 0.1117 memory: 11725 grad_norm: 0.7880 loss: 0.2489 instance_segmentation_loss_cls: 0.0435 instance_segmentation_loss_mask: 0.0186 instance_segmentation_loss_dice: 0.1868 2024/08/15 23:13:54 - mmengine - INFO - Iter(train) [ 52300/120000] base_lr: 1.2082e-04 lr: 1.2802e-05 eta: 1 day, 14:34:25 time: 2.0405 data_time: 0.1121 memory: 11789 grad_norm: 0.7880 loss: 0.2487 instance_segmentation_loss_cls: 0.0435 instance_segmentation_loss_mask: 0.0186 instance_segmentation_loss_dice: 0.1866 2024/08/15 23:15:35 - mmengine - INFO - Iter(train) [ 52350/120000] base_lr: 1.2070e-04 lr: 1.2791e-05 eta: 1 day, 14:32:41 time: 2.0406 data_time: 0.1124 memory: 11557 grad_norm: 0.7874 loss: 0.2491 instance_segmentation_loss_cls: 0.0436 instance_segmentation_loss_mask: 0.0186 instance_segmentation_loss_dice: 0.1869 2024/08/15 23:17:17 - mmengine - INFO - Iter(train) [ 52400/120000] base_lr: 1.2057e-04 lr: 1.2779e-05 eta: 1 day, 14:30:55 time: 2.0406 data_time: 0.1128 memory: 12211 grad_norm: 0.7872 loss: 0.2492 instance_segmentation_loss_cls: 0.0436 instance_segmentation_loss_mask: 0.0186 instance_segmentation_loss_dice: 0.1870 2024/08/15 23:18:58 - mmengine - INFO - Iter(train) [ 52450/120000] base_lr: 1.2044e-04 lr: 1.2768e-05 eta: 1 day, 14:29:09 time: 2.0408 data_time: 0.1132 memory: 11643 grad_norm: 0.7870 loss: 0.2494 instance_segmentation_loss_cls: 0.0436 instance_segmentation_loss_mask: 0.0186 instance_segmentation_loss_dice: 0.1871 2024/08/15 23:20:39 - 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mmengine - INFO - Saving checkpoint at 53000 iterations 2024/08/15 23:39:21 - mmengine - INFO - Iter(train) [ 53050/120000] base_lr: 1.1892e-04 lr: 1.2629e-05 eta: 1 day, 14:08:21 time: 2.0418 data_time: 0.1149 memory: 11706 grad_norm: 0.7856 loss: 0.2485 instance_segmentation_loss_cls: 0.0435 instance_segmentation_loss_mask: 0.0185 instance_segmentation_loss_dice: 0.1865 2024/08/15 23:41:03 - mmengine - INFO - Iter(train) [ 53100/120000] base_lr: 1.1879e-04 lr: 1.2617e-05 eta: 1 day, 14:06:37 time: 2.0420 data_time: 0.1150 memory: 12037 grad_norm: 0.7859 loss: 0.2488 instance_segmentation_loss_cls: 0.0435 instance_segmentation_loss_mask: 0.0185 instance_segmentation_loss_dice: 0.1868 2024/08/15 23:42:45 - mmengine - INFO - Iter(train) [ 53150/120000] base_lr: 1.1866e-04 lr: 1.2606e-05 eta: 1 day, 14:04:52 time: 2.0420 data_time: 0.1150 memory: 11959 grad_norm: 0.7855 loss: 0.2482 instance_segmentation_loss_cls: 0.0434 instance_segmentation_loss_mask: 0.0185 instance_segmentation_loss_dice: 0.1863 2024/08/15 23:44:26 - 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mmengine - INFO - Iter(train) [ 53600/120000] base_lr: 1.1751e-04 lr: 1.2501e-05 eta: 1 day, 13:48:56 time: 2.0418 data_time: 0.1162 memory: 11539 grad_norm: 0.7840 loss: 0.2481 instance_segmentation_loss_cls: 0.0433 instance_segmentation_loss_mask: 0.0186 instance_segmentation_loss_dice: 0.1862 2024/08/15 23:59:35 - mmengine - INFO - Iter(train) [ 53650/120000] base_lr: 1.1738e-04 lr: 1.2490e-05 eta: 1 day, 13:47:11 time: 2.0419 data_time: 0.1161 memory: 11784 grad_norm: 0.7837 loss: 0.2475 instance_segmentation_loss_cls: 0.0432 instance_segmentation_loss_mask: 0.0185 instance_segmentation_loss_dice: 0.1857 2024/08/16 00:01:16 - mmengine - INFO - Iter(train) [ 53700/120000] base_lr: 1.1726e-04 lr: 1.2478e-05 eta: 1 day, 13:45:26 time: 2.0418 data_time: 0.1163 memory: 11630 grad_norm: 0.7835 loss: 0.2477 instance_segmentation_loss_cls: 0.0432 instance_segmentation_loss_mask: 0.0186 instance_segmentation_loss_dice: 0.1859 2024/08/16 00:02:58 - mmengine - INFO - Iter(train) [ 53750/120000] base_lr: 1.1713e-04 lr: 1.2466e-05 eta: 1 day, 13:43:41 time: 2.0421 data_time: 0.1165 memory: 11653 grad_norm: 0.7835 loss: 0.2481 instance_segmentation_loss_cls: 0.0433 instance_segmentation_loss_mask: 0.0186 instance_segmentation_loss_dice: 0.1862 2024/08/16 00:04:40 - 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mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 00:11:27 - mmengine - INFO - Iter(train) [ 54000/120000] base_lr: 1.1649e-04 lr: 1.2408e-05 eta: 1 day, 13:35:01 time: 2.0430 data_time: 0.1172 memory: 11919 grad_norm: 0.7830 loss: 0.2480 instance_segmentation_loss_cls: 0.0433 instance_segmentation_loss_mask: 0.0186 instance_segmentation_loss_dice: 0.1861 2024/08/16 00:11:27 - mmengine - INFO - Saving checkpoint at 54000 iterations 2024/08/16 00:13:14 - mmengine - INFO - Iter(train) [ 54050/120000] base_lr: 1.1636e-04 lr: 1.2397e-05 eta: 1 day, 13:33:29 time: 2.0361 data_time: 0.1103 memory: 11683 grad_norm: 0.7827 loss: 0.2478 instance_segmentation_loss_cls: 0.0433 instance_segmentation_loss_mask: 0.0186 instance_segmentation_loss_dice: 0.1859 2024/08/16 00:14:57 - mmengine - INFO - Iter(train) [ 54100/120000] base_lr: 1.1623e-04 lr: 1.2385e-05 eta: 1 day, 13:31:47 time: 2.0362 data_time: 0.1103 memory: 11666 grad_norm: 0.7831 loss: 0.2477 instance_segmentation_loss_cls: 0.0433 instance_segmentation_loss_mask: 0.0186 instance_segmentation_loss_dice: 0.1859 2024/08/16 00:16:39 - 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mmengine - INFO - Iter(train) [ 54750/120000] base_lr: 1.1457e-04 lr: 1.2233e-05 eta: 1 day, 13:09:14 time: 2.0374 data_time: 0.1108 memory: 11535 grad_norm: 0.7826 loss: 0.2477 instance_segmentation_loss_cls: 0.0433 instance_segmentation_loss_mask: 0.0185 instance_segmentation_loss_dice: 0.1859 2024/08/16 00:38:42 - mmengine - INFO - Iter(train) [ 54800/120000] base_lr: 1.1444e-04 lr: 1.2222e-05 eta: 1 day, 13:07:29 time: 2.0374 data_time: 0.1106 memory: 11677 grad_norm: 0.7824 loss: 0.2472 instance_segmentation_loss_cls: 0.0432 instance_segmentation_loss_mask: 0.0185 instance_segmentation_loss_dice: 0.1854 2024/08/16 00:40:23 - mmengine - INFO - Iter(train) [ 54850/120000] base_lr: 1.1431e-04 lr: 1.2210e-05 eta: 1 day, 13:05:45 time: 2.0374 data_time: 0.1107 memory: 11743 grad_norm: 0.7817 loss: 0.2472 instance_segmentation_loss_cls: 0.0432 instance_segmentation_loss_mask: 0.0185 instance_segmentation_loss_dice: 0.1855 2024/08/16 00:42:05 - mmengine - INFO - Iter(train) [ 54900/120000] base_lr: 1.1418e-04 lr: 1.2198e-05 eta: 1 day, 13:04:01 time: 2.0375 data_time: 0.1108 memory: 12002 grad_norm: 0.7811 loss: 0.2474 instance_segmentation_loss_cls: 0.0432 instance_segmentation_loss_mask: 0.0185 instance_segmentation_loss_dice: 0.1856 2024/08/16 00:43:47 - mmengine - INFO - Iter(train) [ 54950/120000] base_lr: 1.1405e-04 lr: 1.2187e-05 eta: 1 day, 13:02:16 time: 2.0376 data_time: 0.1110 memory: 11806 grad_norm: 0.7807 loss: 0.2473 instance_segmentation_loss_cls: 0.0433 instance_segmentation_loss_mask: 0.0185 instance_segmentation_loss_dice: 0.1855 2024/08/16 00:45:30 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 00:45:30 - mmengine - INFO - Iter(train) [ 55000/120000] base_lr: 1.1392e-04 lr: 1.2175e-05 eta: 1 day, 13:00:35 time: 2.0381 data_time: 0.1110 memory: 11731 grad_norm: 0.7804 loss: 0.2468 instance_segmentation_loss_cls: 0.0432 instance_segmentation_loss_mask: 0.0185 instance_segmentation_loss_dice: 0.1852 2024/08/16 00:45:30 - mmengine - INFO - Saving checkpoint at 55000 iterations 2024/08/16 00:45:57 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:19 time: 0.4678 data_time: 0.0191 memory: 5705 2024/08/16 00:46:20 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:57 time: 0.4668 data_time: 0.0190 memory: 5705 2024/08/16 00:46:42 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:33 time: 0.4658 data_time: 0.0188 memory: 5705 2024/08/16 00:47:05 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:11 time: 0.4648 data_time: 0.0189 memory: 5705 2024/08/16 00:47:27 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:48 time: 0.4636 data_time: 0.0187 memory: 5705 2024/08/16 00:47:50 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:26 time: 0.4625 data_time: 0.0186 memory: 5705 2024/08/16 00:48:12 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:03 time: 0.4616 data_time: 0.0185 memory: 5705 2024/08/16 00:48:34 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:41 time: 0.4607 data_time: 0.0184 memory: 5705 2024/08/16 00:48:56 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:18 time: 0.4595 data_time: 0.0183 memory: 5705 2024/08/16 00:49:18 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:55 time: 0.4584 data_time: 0.0182 memory: 5705 2024/08/16 00:49:41 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:33 time: 0.4575 data_time: 0.0182 memory: 5705 2024/08/16 00:50:04 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.4567 data_time: 0.0182 memory: 5705 2024/08/16 00:50:21 - mmengine - INFO - Evaluating segm... 2024/08/16 00:50:47 - mmengine - INFO - segm_mAP_copypaste: 0.387 0.590 0.422 0.193 0.436 0.583 2024/08/16 00:50:47 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.3870 coco/segm_mAP_50: 0.5900 coco/segm_mAP_75: 0.4220 coco/segm_mAP_s: 0.1930 coco/segm_mAP_m: 0.4360 coco/segm_mAP_l: 0.5830 data_time: 0.0177 time: 0.4487 2024/08/16 00:52:29 - mmengine - INFO - Iter(train) [ 55050/120000] base_lr: 1.1380e-04 lr: 1.2163e-05 eta: 1 day, 13:00:00 time: 2.0449 data_time: 0.1179 memory: 12085 grad_norm: 0.7805 loss: 0.2465 instance_segmentation_loss_cls: 0.0431 instance_segmentation_loss_mask: 0.0184 instance_segmentation_loss_dice: 0.1849 2024/08/16 00:54:12 - mmengine - INFO - Iter(train) [ 55100/120000] base_lr: 1.1367e-04 lr: 1.2152e-05 eta: 1 day, 12:58:18 time: 2.0451 data_time: 0.1183 memory: 11602 grad_norm: 0.7802 loss: 0.2471 instance_segmentation_loss_cls: 0.0432 instance_segmentation_loss_mask: 0.0185 instance_segmentation_loss_dice: 0.1854 2024/08/16 00:55:54 - mmengine - INFO - Iter(train) [ 55150/120000] base_lr: 1.1354e-04 lr: 1.2140e-05 eta: 1 day, 12:56:36 time: 2.0452 data_time: 0.1181 memory: 11742 grad_norm: 0.7798 loss: 0.2469 instance_segmentation_loss_cls: 0.0431 instance_segmentation_loss_mask: 0.0184 instance_segmentation_loss_dice: 0.1854 2024/08/16 00:57:37 - mmengine - INFO - Iter(train) [ 55200/120000] base_lr: 1.1341e-04 lr: 1.2128e-05 eta: 1 day, 12:54:53 time: 2.0451 data_time: 0.1180 memory: 11682 grad_norm: 0.7795 loss: 0.2466 instance_segmentation_loss_cls: 0.0431 instance_segmentation_loss_mask: 0.0184 instance_segmentation_loss_dice: 0.1851 2024/08/16 00:59:20 - mmengine - INFO - Iter(train) [ 55250/120000] base_lr: 1.1328e-04 lr: 1.2117e-05 eta: 1 day, 12:53:11 time: 2.0452 data_time: 0.1182 memory: 11786 grad_norm: 0.7789 loss: 0.2468 instance_segmentation_loss_cls: 0.0431 instance_segmentation_loss_mask: 0.0184 instance_segmentation_loss_dice: 0.1853 2024/08/16 01:01:01 - mmengine - INFO - Iter(train) [ 55300/120000] base_lr: 1.1315e-04 lr: 1.2105e-05 eta: 1 day, 12:51:26 time: 2.0449 data_time: 0.1181 memory: 11566 grad_norm: 0.7789 loss: 0.2464 instance_segmentation_loss_cls: 0.0431 instance_segmentation_loss_mask: 0.0184 instance_segmentation_loss_dice: 0.1849 2024/08/16 01:02:43 - mmengine - INFO - Iter(train) [ 55350/120000] base_lr: 1.1302e-04 lr: 1.2093e-05 eta: 1 day, 12:49:42 time: 2.0449 data_time: 0.1181 memory: 11898 grad_norm: 0.7790 loss: 0.2468 instance_segmentation_loss_cls: 0.0431 instance_segmentation_loss_mask: 0.0184 instance_segmentation_loss_dice: 0.1853 2024/08/16 01:04:25 - mmengine - INFO - Iter(train) [ 55400/120000] base_lr: 1.1290e-04 lr: 1.2081e-05 eta: 1 day, 12:47:59 time: 2.0451 data_time: 0.1182 memory: 12066 grad_norm: 0.7787 loss: 0.2472 instance_segmentation_loss_cls: 0.0432 instance_segmentation_loss_mask: 0.0184 instance_segmentation_loss_dice: 0.1857 2024/08/16 01:06:07 - mmengine - INFO - Iter(train) [ 55450/120000] base_lr: 1.1277e-04 lr: 1.2070e-05 eta: 1 day, 12:46:14 time: 2.0452 data_time: 0.1184 memory: 11532 grad_norm: 0.7787 loss: 0.2474 instance_segmentation_loss_cls: 0.0432 instance_segmentation_loss_mask: 0.0184 instance_segmentation_loss_dice: 0.1858 2024/08/16 01:07:49 - mmengine - INFO - Iter(train) [ 55500/120000] base_lr: 1.1264e-04 lr: 1.2058e-05 eta: 1 day, 12:44:31 time: 2.0453 data_time: 0.1184 memory: 12188 grad_norm: 0.7790 loss: 0.2473 instance_segmentation_loss_cls: 0.0432 instance_segmentation_loss_mask: 0.0184 instance_segmentation_loss_dice: 0.1857 2024/08/16 01:09:31 - mmengine - INFO - Iter(train) [ 55550/120000] base_lr: 1.1251e-04 lr: 1.2046e-05 eta: 1 day, 12:42:48 time: 2.0454 data_time: 0.1183 memory: 11764 grad_norm: 0.7787 loss: 0.2469 instance_segmentation_loss_cls: 0.0431 instance_segmentation_loss_mask: 0.0184 instance_segmentation_loss_dice: 0.1854 2024/08/16 01:11:13 - mmengine - INFO - Iter(train) [ 55600/120000] base_lr: 1.1238e-04 lr: 1.2035e-05 eta: 1 day, 12:41:04 time: 2.0453 data_time: 0.1181 memory: 11568 grad_norm: 0.7788 loss: 0.2464 instance_segmentation_loss_cls: 0.0430 instance_segmentation_loss_mask: 0.0184 instance_segmentation_loss_dice: 0.1850 2024/08/16 01:12:55 - mmengine - INFO - Iter(train) [ 55650/120000] base_lr: 1.1225e-04 lr: 1.2023e-05 eta: 1 day, 12:39:19 time: 2.0454 data_time: 0.1180 memory: 12172 grad_norm: 0.7790 loss: 0.2457 instance_segmentation_loss_cls: 0.0429 instance_segmentation_loss_mask: 0.0183 instance_segmentation_loss_dice: 0.1845 2024/08/16 01:14:36 - mmengine - INFO - Iter(train) [ 55700/120000] base_lr: 1.1212e-04 lr: 1.2011e-05 eta: 1 day, 12:37:35 time: 2.0454 data_time: 0.1180 memory: 12268 grad_norm: 0.7789 loss: 0.2452 instance_segmentation_loss_cls: 0.0429 instance_segmentation_loss_mask: 0.0183 instance_segmentation_loss_dice: 0.1840 2024/08/16 01:16:18 - mmengine - INFO - Iter(train) [ 55750/120000] base_lr: 1.1200e-04 lr: 1.2000e-05 eta: 1 day, 12:35:51 time: 2.0453 data_time: 0.1179 memory: 11818 grad_norm: 0.7787 loss: 0.2449 instance_segmentation_loss_cls: 0.0429 instance_segmentation_loss_mask: 0.0183 instance_segmentation_loss_dice: 0.1837 2024/08/16 01:18:00 - mmengine - INFO - Iter(train) [ 55800/120000] base_lr: 1.1187e-04 lr: 1.1988e-05 eta: 1 day, 12:34:07 time: 2.0451 data_time: 0.1182 memory: 11598 grad_norm: 0.7788 loss: 0.2456 instance_segmentation_loss_cls: 0.0429 instance_segmentation_loss_mask: 0.0183 instance_segmentation_loss_dice: 0.1843 2024/08/16 01:19:42 - mmengine - INFO - Iter(train) [ 55850/120000] base_lr: 1.1174e-04 lr: 1.1976e-05 eta: 1 day, 12:32:23 time: 2.0451 data_time: 0.1181 memory: 11532 grad_norm: 0.7787 loss: 0.2453 instance_segmentation_loss_cls: 0.0429 instance_segmentation_loss_mask: 0.0183 instance_segmentation_loss_dice: 0.1841 2024/08/16 01:21:25 - mmengine - INFO - Iter(train) [ 55900/120000] base_lr: 1.1161e-04 lr: 1.1964e-05 eta: 1 day, 12:30:42 time: 2.0455 data_time: 0.1179 memory: 11696 grad_norm: 0.7793 loss: 0.2447 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1837 2024/08/16 01:23:07 - mmengine - INFO - Iter(train) [ 55950/120000] base_lr: 1.1148e-04 lr: 1.1953e-05 eta: 1 day, 12:28:57 time: 2.0456 data_time: 0.1179 memory: 11774 grad_norm: 0.7784 loss: 0.2445 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1836 2024/08/16 01:24:49 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 01:24:49 - mmengine - INFO - Iter(train) [ 56000/120000] base_lr: 1.1135e-04 lr: 1.1941e-05 eta: 1 day, 12:27:14 time: 2.0458 data_time: 0.1180 memory: 11558 grad_norm: 0.7787 loss: 0.2442 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1834 2024/08/16 01:24:49 - mmengine - INFO - Saving checkpoint at 56000 iterations 2024/08/16 01:26:35 - mmengine - INFO - Iter(train) [ 56050/120000] base_lr: 1.1122e-04 lr: 1.1929e-05 eta: 1 day, 12:25:39 time: 2.0457 data_time: 0.1183 memory: 11846 grad_norm: 0.7786 loss: 0.2445 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1836 2024/08/16 01:28:17 - mmengine - INFO - Iter(train) [ 56100/120000] base_lr: 1.1109e-04 lr: 1.1918e-05 eta: 1 day, 12:23:55 time: 2.0457 data_time: 0.1183 memory: 11859 grad_norm: 0.7782 loss: 0.2443 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1835 2024/08/16 01:30:00 - mmengine - INFO - Iter(train) [ 56150/120000] base_lr: 1.1096e-04 lr: 1.1906e-05 eta: 1 day, 12:22:14 time: 2.0460 data_time: 0.1183 memory: 12030 grad_norm: 0.7786 loss: 0.2446 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1837 2024/08/16 01:31:42 - mmengine - INFO - Iter(train) [ 56200/120000] base_lr: 1.1084e-04 lr: 1.1894e-05 eta: 1 day, 12:20:31 time: 2.0461 data_time: 0.1183 memory: 11850 grad_norm: 0.7778 loss: 0.2445 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_mask: 0.0183 instance_segmentation_loss_dice: 0.1835 2024/08/16 01:33:25 - mmengine - INFO - Iter(train) [ 56250/120000] base_lr: 1.1071e-04 lr: 1.1882e-05 eta: 1 day, 12:18:48 time: 2.0466 data_time: 0.1185 memory: 11960 grad_norm: 0.7776 loss: 0.2446 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1835 2024/08/16 01:35:07 - mmengine - INFO - Iter(train) [ 56300/120000] base_lr: 1.1058e-04 lr: 1.1871e-05 eta: 1 day, 12:17:05 time: 2.0468 data_time: 0.1185 memory: 11877 grad_norm: 0.7776 loss: 0.2446 instance_segmentation_loss_cls: 0.0428 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1836 2024/08/16 01:36:49 - mmengine - INFO - Iter(train) [ 56350/120000] base_lr: 1.1045e-04 lr: 1.1859e-05 eta: 1 day, 12:15:22 time: 2.0470 data_time: 0.1185 memory: 11597 grad_norm: 0.7778 loss: 0.2445 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_mask: 0.0183 instance_segmentation_loss_dice: 0.1835 2024/08/16 01:38:31 - mmengine - INFO - Iter(train) [ 56400/120000] base_lr: 1.1032e-04 lr: 1.1847e-05 eta: 1 day, 12:13:38 time: 2.0470 data_time: 0.1185 memory: 11679 grad_norm: 0.7776 loss: 0.2446 instance_segmentation_loss_cls: 0.0427 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1836 2024/08/16 01:40:13 - mmengine - INFO - Iter(train) [ 56450/120000] base_lr: 1.1019e-04 lr: 1.1835e-05 eta: 1 day, 12:11:54 time: 2.0472 data_time: 0.1183 memory: 11641 grad_norm: 0.7781 loss: 0.2439 instance_segmentation_loss_cls: 0.0426 instance_segmentation_loss_mask: 0.0183 instance_segmentation_loss_dice: 0.1831 2024/08/16 01:41:56 - mmengine - INFO - Iter(train) [ 56500/120000] base_lr: 1.1006e-04 lr: 1.1824e-05 eta: 1 day, 12:10:12 time: 2.0476 data_time: 0.1183 memory: 11710 grad_norm: 0.7778 loss: 0.2433 instance_segmentation_loss_cls: 0.0425 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1826 2024/08/16 01:43:38 - mmengine - INFO - Iter(train) [ 56550/120000] base_lr: 1.0993e-04 lr: 1.1812e-05 eta: 1 day, 12:08:29 time: 2.0476 data_time: 0.1184 memory: 11789 grad_norm: 0.7779 loss: 0.2438 instance_segmentation_loss_cls: 0.0425 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1831 2024/08/16 01:45:20 - mmengine - INFO - Iter(train) [ 56600/120000] base_lr: 1.0980e-04 lr: 1.1800e-05 eta: 1 day, 12:06:45 time: 2.0477 data_time: 0.1183 memory: 11711 grad_norm: 0.7776 loss: 0.2436 instance_segmentation_loss_cls: 0.0425 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1829 2024/08/16 01:47:02 - mmengine - INFO - Iter(train) [ 56650/120000] base_lr: 1.0967e-04 lr: 1.1789e-05 eta: 1 day, 12:05:01 time: 2.0478 data_time: 0.1184 memory: 11661 grad_norm: 0.7775 loss: 0.2438 instance_segmentation_loss_cls: 0.0425 instance_segmentation_loss_mask: 0.0183 instance_segmentation_loss_dice: 0.1831 2024/08/16 01:48:45 - mmengine - INFO - Iter(train) [ 56700/120000] base_lr: 1.0954e-04 lr: 1.1777e-05 eta: 1 day, 12:03:20 time: 2.0480 data_time: 0.1183 memory: 11800 grad_norm: 0.7776 loss: 0.2437 instance_segmentation_loss_cls: 0.0425 instance_segmentation_loss_mask: 0.0183 instance_segmentation_loss_dice: 0.1830 2024/08/16 01:50:27 - mmengine - INFO - Iter(train) [ 56750/120000] base_lr: 1.0942e-04 lr: 1.1765e-05 eta: 1 day, 12:01:35 time: 2.0479 data_time: 0.1185 memory: 12025 grad_norm: 0.7781 loss: 0.2441 instance_segmentation_loss_cls: 0.0425 instance_segmentation_loss_mask: 0.0183 instance_segmentation_loss_dice: 0.1833 2024/08/16 01:52:09 - mmengine - INFO - Iter(train) [ 56800/120000] base_lr: 1.0929e-04 lr: 1.1753e-05 eta: 1 day, 11:59:53 time: 2.0482 data_time: 0.1186 memory: 11777 grad_norm: 0.7780 loss: 0.2445 instance_segmentation_loss_cls: 0.0425 instance_segmentation_loss_mask: 0.0183 instance_segmentation_loss_dice: 0.1837 2024/08/16 01:53:51 - mmengine - INFO - Iter(train) [ 56850/120000] base_lr: 1.0916e-04 lr: 1.1742e-05 eta: 1 day, 11:58:10 time: 2.0487 data_time: 0.1186 memory: 11711 grad_norm: 0.7777 loss: 0.2444 instance_segmentation_loss_cls: 0.0425 instance_segmentation_loss_mask: 0.0183 instance_segmentation_loss_dice: 0.1836 2024/08/16 01:55:33 - mmengine - INFO - Iter(train) [ 56900/120000] base_lr: 1.0903e-04 lr: 1.1730e-05 eta: 1 day, 11:56:27 time: 2.0489 data_time: 0.1184 memory: 11744 grad_norm: 0.7765 loss: 0.2438 instance_segmentation_loss_cls: 0.0424 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1831 2024/08/16 01:57:15 - mmengine - INFO - Iter(train) [ 56950/120000] base_lr: 1.0890e-04 lr: 1.1718e-05 eta: 1 day, 11:54:42 time: 2.0489 data_time: 0.1184 memory: 11702 grad_norm: 0.7760 loss: 0.2432 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1827 2024/08/16 01:58:58 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 01:58:58 - mmengine - INFO - Iter(train) [ 57000/120000] base_lr: 1.0877e-04 lr: 1.1706e-05 eta: 1 day, 11:53:00 time: 2.0492 data_time: 0.1184 memory: 12103 grad_norm: 0.7753 loss: 0.2434 instance_segmentation_loss_cls: 0.0423 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1829 2024/08/16 01:58:58 - mmengine - INFO - Saving checkpoint at 57000 iterations 2024/08/16 02:00:44 - mmengine - INFO - Iter(train) [ 57050/120000] base_lr: 1.0864e-04 lr: 1.1695e-05 eta: 1 day, 11:51:25 time: 2.0492 data_time: 0.1183 memory: 11768 grad_norm: 0.7757 loss: 0.2428 instance_segmentation_loss_cls: 0.0422 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1824 2024/08/16 02:02:26 - mmengine - INFO - Iter(train) [ 57100/120000] base_lr: 1.0851e-04 lr: 1.1683e-05 eta: 1 day, 11:49:41 time: 2.0492 data_time: 0.1182 memory: 11920 grad_norm: 0.7757 loss: 0.2422 instance_segmentation_loss_cls: 0.0422 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1819 2024/08/16 02:04:09 - mmengine - INFO - Iter(train) [ 57150/120000] base_lr: 1.0838e-04 lr: 1.1671e-05 eta: 1 day, 11:47:59 time: 2.0495 data_time: 0.1183 memory: 11670 grad_norm: 0.7756 loss: 0.2424 instance_segmentation_loss_cls: 0.0422 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1821 2024/08/16 02:05:52 - mmengine - INFO - Iter(train) [ 57200/120000] base_lr: 1.0825e-04 lr: 1.1659e-05 eta: 1 day, 11:46:18 time: 2.0500 data_time: 0.1183 memory: 11751 grad_norm: 0.7758 loss: 0.2426 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1824 2024/08/16 02:07:34 - mmengine - INFO - Iter(train) [ 57250/120000] base_lr: 1.0812e-04 lr: 1.1648e-05 eta: 1 day, 11:44:34 time: 2.0502 data_time: 0.1182 memory: 11950 grad_norm: 0.7757 loss: 0.2429 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_mask: 0.0182 instance_segmentation_loss_dice: 0.1826 2024/08/16 02:09:16 - mmengine - INFO - Iter(train) [ 57300/120000] base_lr: 1.0799e-04 lr: 1.1636e-05 eta: 1 day, 11:42:50 time: 2.0506 data_time: 0.1182 memory: 11532 grad_norm: 0.7755 loss: 0.2427 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1825 2024/08/16 02:10:58 - mmengine - INFO - Iter(train) [ 57350/120000] base_lr: 1.0787e-04 lr: 1.1624e-05 eta: 1 day, 11:41:07 time: 2.0508 data_time: 0.1183 memory: 11610 grad_norm: 0.7755 loss: 0.2430 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1828 2024/08/16 02:12:40 - mmengine - INFO - Iter(train) [ 57400/120000] base_lr: 1.0774e-04 lr: 1.1612e-05 eta: 1 day, 11:39:24 time: 2.0512 data_time: 0.1182 memory: 11715 grad_norm: 0.7755 loss: 0.2429 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1828 2024/08/16 02:14:23 - mmengine - INFO - Iter(train) [ 57450/120000] base_lr: 1.0761e-04 lr: 1.1601e-05 eta: 1 day, 11:37:42 time: 2.0516 data_time: 0.1183 memory: 11727 grad_norm: 0.7752 loss: 0.2431 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1829 2024/08/16 02:16:05 - mmengine - INFO - Iter(train) [ 57500/120000] base_lr: 1.0748e-04 lr: 1.1589e-05 eta: 1 day, 11:35:59 time: 2.0520 data_time: 0.1182 memory: 11782 grad_norm: 0.7752 loss: 0.2426 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1825 2024/08/16 02:17:47 - mmengine - INFO - Iter(train) [ 57550/120000] base_lr: 1.0735e-04 lr: 1.1577e-05 eta: 1 day, 11:34:15 time: 2.0522 data_time: 0.1184 memory: 11950 grad_norm: 0.7751 loss: 0.2433 instance_segmentation_loss_cls: 0.0422 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1830 2024/08/16 02:19:29 - mmengine - INFO - Iter(train) [ 57600/120000] base_lr: 1.0722e-04 lr: 1.1565e-05 eta: 1 day, 11:32:32 time: 2.0524 data_time: 0.1183 memory: 11532 grad_norm: 0.7751 loss: 0.2431 instance_segmentation_loss_cls: 0.0422 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1828 2024/08/16 02:21:11 - mmengine - INFO - Iter(train) [ 57650/120000] base_lr: 1.0709e-04 lr: 1.1554e-05 eta: 1 day, 11:30:47 time: 2.0525 data_time: 0.1181 memory: 11532 grad_norm: 0.7753 loss: 0.2427 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1825 2024/08/16 02:22:54 - mmengine - INFO - Iter(train) [ 57700/120000] base_lr: 1.0696e-04 lr: 1.1542e-05 eta: 1 day, 11:29:05 time: 2.0528 data_time: 0.1181 memory: 11734 grad_norm: 0.7752 loss: 0.2428 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1826 2024/08/16 02:24:36 - mmengine - INFO - Iter(train) [ 57750/120000] base_lr: 1.0683e-04 lr: 1.1530e-05 eta: 1 day, 11:27:23 time: 2.0531 data_time: 0.1179 memory: 11583 grad_norm: 0.7756 loss: 0.2426 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1824 2024/08/16 02:26:18 - mmengine - INFO - Iter(train) [ 57800/120000] base_lr: 1.0670e-04 lr: 1.1518e-05 eta: 1 day, 11:25:40 time: 2.0531 data_time: 0.1179 memory: 11822 grad_norm: 0.7759 loss: 0.2431 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1828 2024/08/16 02:28:00 - mmengine - INFO - Iter(train) [ 57850/120000] base_lr: 1.0657e-04 lr: 1.1507e-05 eta: 1 day, 11:23:56 time: 2.0532 data_time: 0.1179 memory: 11539 grad_norm: 0.7766 loss: 0.2427 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_mask: 0.0181 instance_segmentation_loss_dice: 0.1825 2024/08/16 02:29:42 - mmengine - INFO - Iter(train) [ 57900/120000] base_lr: 1.0644e-04 lr: 1.1495e-05 eta: 1 day, 11:22:12 time: 2.0532 data_time: 0.1178 memory: 11763 grad_norm: 0.7764 loss: 0.2422 instance_segmentation_loss_cls: 0.0420 instance_segmentation_loss_mask: 0.0180 instance_segmentation_loss_dice: 0.1822 2024/08/16 02:31:24 - mmengine - INFO - Iter(train) [ 57950/120000] base_lr: 1.0631e-04 lr: 1.1483e-05 eta: 1 day, 11:20:28 time: 2.0532 data_time: 0.1177 memory: 11989 grad_norm: 0.7762 loss: 0.2419 instance_segmentation_loss_cls: 0.0420 instance_segmentation_loss_mask: 0.0180 instance_segmentation_loss_dice: 0.1819 2024/08/16 02:33:06 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 02:33:06 - mmengine - INFO - Iter(train) [ 58000/120000] base_lr: 1.0618e-04 lr: 1.1471e-05 eta: 1 day, 11:18:45 time: 2.0532 data_time: 0.1177 memory: 11532 grad_norm: 0.7772 loss: 0.2417 instance_segmentation_loss_cls: 0.0420 instance_segmentation_loss_mask: 0.0180 instance_segmentation_loss_dice: 0.1817 2024/08/16 02:33:06 - mmengine - INFO - Saving checkpoint at 58000 iterations 2024/08/16 02:34:52 - mmengine - INFO - Iter(train) [ 58050/120000] base_lr: 1.0605e-04 lr: 1.1459e-05 eta: 1 day, 11:17:09 time: 2.0530 data_time: 0.1177 memory: 11535 grad_norm: 0.7774 loss: 0.2415 instance_segmentation_loss_cls: 0.0419 instance_segmentation_loss_mask: 0.0179 instance_segmentation_loss_dice: 0.1817 2024/08/16 02:36:33 - mmengine - INFO - Iter(train) [ 58100/120000] base_lr: 1.0593e-04 lr: 1.1448e-05 eta: 1 day, 11:15:23 time: 2.0524 data_time: 0.1178 memory: 11616 grad_norm: 0.7767 loss: 0.2416 instance_segmentation_loss_cls: 0.0420 instance_segmentation_loss_mask: 0.0179 instance_segmentation_loss_dice: 0.1817 2024/08/16 02:38:15 - mmengine - INFO - Iter(train) [ 58150/120000] base_lr: 1.0580e-04 lr: 1.1436e-05 eta: 1 day, 11:13:40 time: 2.0526 data_time: 0.1179 memory: 11892 grad_norm: 0.7764 loss: 0.2421 instance_segmentation_loss_cls: 0.0420 instance_segmentation_loss_mask: 0.0180 instance_segmentation_loss_dice: 0.1821 2024/08/16 02:39:57 - mmengine - INFO - Iter(train) [ 58200/120000] base_lr: 1.0567e-04 lr: 1.1424e-05 eta: 1 day, 11:11:57 time: 2.0528 data_time: 0.1181 memory: 11814 grad_norm: 0.7760 loss: 0.2428 instance_segmentation_loss_cls: 0.0421 instance_segmentation_loss_mask: 0.0180 instance_segmentation_loss_dice: 0.1827 2024/08/16 02:41:39 - mmengine - INFO - Iter(train) [ 58250/120000] base_lr: 1.0554e-04 lr: 1.1412e-05 eta: 1 day, 11:10:13 time: 2.0528 data_time: 0.1181 memory: 11785 grad_norm: 0.7763 loss: 0.2422 instance_segmentation_loss_cls: 0.0420 instance_segmentation_loss_mask: 0.0180 instance_segmentation_loss_dice: 0.1822 2024/08/16 02:43:21 - mmengine - INFO - Iter(train) [ 58300/120000] base_lr: 1.0541e-04 lr: 1.1401e-05 eta: 1 day, 11:08:30 time: 2.0531 data_time: 0.1179 memory: 11622 grad_norm: 0.7763 loss: 0.2416 instance_segmentation_loss_cls: 0.0418 instance_segmentation_loss_mask: 0.0180 instance_segmentation_loss_dice: 0.1818 2024/08/16 02:45:04 - mmengine - INFO - Iter(train) [ 58350/120000] base_lr: 1.0528e-04 lr: 1.1389e-05 eta: 1 day, 11:06:47 time: 2.0531 data_time: 0.1179 memory: 11615 grad_norm: 0.7760 loss: 0.2416 instance_segmentation_loss_cls: 0.0418 instance_segmentation_loss_mask: 0.0180 instance_segmentation_loss_dice: 0.1818 2024/08/16 02:46:46 - mmengine - INFO - Iter(train) [ 58400/120000] base_lr: 1.0515e-04 lr: 1.1377e-05 eta: 1 day, 11:05:04 time: 2.0531 data_time: 0.1179 memory: 11557 grad_norm: 0.7758 loss: 0.2413 instance_segmentation_loss_cls: 0.0418 instance_segmentation_loss_mask: 0.0180 instance_segmentation_loss_dice: 0.1815 2024/08/16 02:48:28 - mmengine - INFO - Iter(train) [ 58450/120000] base_lr: 1.0502e-04 lr: 1.1365e-05 eta: 1 day, 11:03:21 time: 2.0531 data_time: 0.1178 memory: 11600 grad_norm: 0.7761 loss: 0.2409 instance_segmentation_loss_cls: 0.0418 instance_segmentation_loss_mask: 0.0180 instance_segmentation_loss_dice: 0.1811 2024/08/16 02:50:10 - mmengine - INFO - Iter(train) [ 58500/120000] base_lr: 1.0489e-04 lr: 1.1354e-05 eta: 1 day, 11:01:38 time: 2.0532 data_time: 0.1177 memory: 11544 grad_norm: 0.7756 loss: 0.2406 instance_segmentation_loss_cls: 0.0418 instance_segmentation_loss_mask: 0.0179 instance_segmentation_loss_dice: 0.1810 2024/08/16 02:51:52 - mmengine - INFO - Iter(train) [ 58550/120000] base_lr: 1.0476e-04 lr: 1.1342e-05 eta: 1 day, 10:59:54 time: 2.0534 data_time: 0.1173 memory: 11532 grad_norm: 0.7763 loss: 0.2396 instance_segmentation_loss_cls: 0.0416 instance_segmentation_loss_mask: 0.0179 instance_segmentation_loss_dice: 0.1801 2024/08/16 02:53:34 - mmengine - INFO - Iter(train) [ 58600/120000] base_lr: 1.0463e-04 lr: 1.1330e-05 eta: 1 day, 10:58:10 time: 2.0533 data_time: 0.1172 memory: 11954 grad_norm: 0.7757 loss: 0.2393 instance_segmentation_loss_cls: 0.0416 instance_segmentation_loss_mask: 0.0179 instance_segmentation_loss_dice: 0.1799 2024/08/16 02:55:16 - mmengine - INFO - Iter(train) [ 58650/120000] base_lr: 1.0450e-04 lr: 1.1318e-05 eta: 1 day, 10:56:27 time: 2.0534 data_time: 0.1172 memory: 11724 grad_norm: 0.7760 loss: 0.2396 instance_segmentation_loss_cls: 0.0416 instance_segmentation_loss_mask: 0.0179 instance_segmentation_loss_dice: 0.1801 2024/08/16 02:56:59 - mmengine - INFO - Iter(train) [ 58700/120000] base_lr: 1.0437e-04 lr: 1.1306e-05 eta: 1 day, 10:54:45 time: 2.0536 data_time: 0.1173 memory: 11856 grad_norm: 0.7763 loss: 0.2399 instance_segmentation_loss_cls: 0.0416 instance_segmentation_loss_mask: 0.0179 instance_segmentation_loss_dice: 0.1804 2024/08/16 02:58:42 - mmengine - INFO - Iter(train) [ 58750/120000] base_lr: 1.0424e-04 lr: 1.1295e-05 eta: 1 day, 10:53:04 time: 2.0539 data_time: 0.1173 memory: 11544 grad_norm: 0.7763 loss: 0.2401 instance_segmentation_loss_cls: 0.0416 instance_segmentation_loss_mask: 0.0179 instance_segmentation_loss_dice: 0.1806 2024/08/16 03:00:25 - mmengine - INFO - Iter(train) [ 58800/120000] base_lr: 1.0411e-04 lr: 1.1283e-05 eta: 1 day, 10:51:21 time: 2.0541 data_time: 0.1175 memory: 11721 grad_norm: 0.7764 loss: 0.2405 instance_segmentation_loss_cls: 0.0417 instance_segmentation_loss_mask: 0.0180 instance_segmentation_loss_dice: 0.1809 2024/08/16 03:02:07 - mmengine - INFO - Iter(train) [ 58850/120000] base_lr: 1.0398e-04 lr: 1.1271e-05 eta: 1 day, 10:49:38 time: 2.0543 data_time: 0.1175 memory: 11703 grad_norm: 0.7763 loss: 0.2405 instance_segmentation_loss_cls: 0.0416 instance_segmentation_loss_mask: 0.0180 instance_segmentation_loss_dice: 0.1809 2024/08/16 03:03:49 - mmengine - INFO - Iter(train) [ 58900/120000] base_lr: 1.0385e-04 lr: 1.1259e-05 eta: 1 day, 10:47:55 time: 2.0544 data_time: 0.1174 memory: 12062 grad_norm: 0.7763 loss: 0.2400 instance_segmentation_loss_cls: 0.0416 instance_segmentation_loss_mask: 0.0179 instance_segmentation_loss_dice: 0.1804 2024/08/16 03:05:31 - mmengine - INFO - Iter(train) [ 58950/120000] base_lr: 1.0372e-04 lr: 1.1248e-05 eta: 1 day, 10:46:12 time: 2.0546 data_time: 0.1172 memory: 11645 grad_norm: 0.7757 loss: 0.2396 instance_segmentation_loss_cls: 0.0415 instance_segmentation_loss_mask: 0.0179 instance_segmentation_loss_dice: 0.1802 2024/08/16 03:07:13 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 03:07:13 - mmengine - INFO - Iter(train) [ 59000/120000] base_lr: 1.0359e-04 lr: 1.1236e-05 eta: 1 day, 10:44:28 time: 2.0543 data_time: 0.1170 memory: 11532 grad_norm: 0.7760 loss: 0.2398 instance_segmentation_loss_cls: 0.0415 instance_segmentation_loss_mask: 0.0179 instance_segmentation_loss_dice: 0.1803 2024/08/16 03:07:13 - mmengine - INFO - Saving checkpoint at 59000 iterations 2024/08/16 03:09:00 - mmengine - INFO - Iter(train) [ 59050/120000] base_lr: 1.0346e-04 lr: 1.1224e-05 eta: 1 day, 10:42:53 time: 2.0476 data_time: 0.1102 memory: 11930 grad_norm: 0.7754 loss: 0.2397 instance_segmentation_loss_cls: 0.0415 instance_segmentation_loss_mask: 0.0179 instance_segmentation_loss_dice: 0.1802 2024/08/16 03:10:42 - mmengine - INFO - Iter(train) [ 59100/120000] base_lr: 1.0334e-04 lr: 1.1212e-05 eta: 1 day, 10:41:10 time: 2.0473 data_time: 0.1100 memory: 11784 grad_norm: 0.7753 loss: 0.2390 instance_segmentation_loss_cls: 0.0414 instance_segmentation_loss_mask: 0.0179 instance_segmentation_loss_dice: 0.1796 2024/08/16 03:12:23 - mmengine - INFO - Iter(train) [ 59150/120000] base_lr: 1.0321e-04 lr: 1.1200e-05 eta: 1 day, 10:39:26 time: 2.0471 data_time: 0.1098 memory: 11541 grad_norm: 0.7752 loss: 0.2383 instance_segmentation_loss_cls: 0.0414 instance_segmentation_loss_mask: 0.0179 instance_segmentation_loss_dice: 0.1790 2024/08/16 03:14:05 - mmengine - INFO - Iter(train) [ 59200/120000] base_lr: 1.0308e-04 lr: 1.1189e-05 eta: 1 day, 10:37:41 time: 2.0467 data_time: 0.1098 memory: 11926 grad_norm: 0.7752 loss: 0.2380 instance_segmentation_loss_cls: 0.0414 instance_segmentation_loss_mask: 0.0179 instance_segmentation_loss_dice: 0.1788 2024/08/16 03:15:45 - mmengine - INFO - Iter(train) [ 59250/120000] base_lr: 1.0295e-04 lr: 1.1177e-05 eta: 1 day, 10:35:55 time: 2.0463 data_time: 0.1095 memory: 11617 grad_norm: 0.7749 loss: 0.2372 instance_segmentation_loss_cls: 0.0413 instance_segmentation_loss_mask: 0.0178 instance_segmentation_loss_dice: 0.1780 2024/08/16 03:17:27 - 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mmengine - INFO - Iter(train) [ 59700/120000] base_lr: 1.0178e-04 lr: 1.1071e-05 eta: 1 day, 10:20:17 time: 2.0455 data_time: 0.1099 memory: 11552 grad_norm: 0.7729 loss: 0.2373 instance_segmentation_loss_cls: 0.0412 instance_segmentation_loss_mask: 0.0177 instance_segmentation_loss_dice: 0.1784 2024/08/16 03:32:41 - mmengine - INFO - Iter(train) [ 59750/120000] base_lr: 1.0165e-04 lr: 1.1059e-05 eta: 1 day, 10:18:33 time: 2.0456 data_time: 0.1100 memory: 12148 grad_norm: 0.7731 loss: 0.2375 instance_segmentation_loss_cls: 0.0412 instance_segmentation_loss_mask: 0.0177 instance_segmentation_loss_dice: 0.1785 2024/08/16 03:34:23 - mmengine - INFO - Iter(train) [ 59800/120000] base_lr: 1.0152e-04 lr: 1.1047e-05 eta: 1 day, 10:16:49 time: 2.0455 data_time: 0.1100 memory: 11909 grad_norm: 0.7729 loss: 0.2381 instance_segmentation_loss_cls: 0.0412 instance_segmentation_loss_mask: 0.0177 instance_segmentation_loss_dice: 0.1791 2024/08/16 03:36:04 - mmengine - INFO - Iter(train) [ 59850/120000] base_lr: 1.0139e-04 lr: 1.1036e-05 eta: 1 day, 10:15:05 time: 2.0453 data_time: 0.1099 memory: 11652 grad_norm: 0.7728 loss: 0.2378 instance_segmentation_loss_cls: 0.0412 instance_segmentation_loss_mask: 0.0177 instance_segmentation_loss_dice: 0.1789 2024/08/16 03:37:46 - mmengine - INFO - Iter(train) [ 59900/120000] base_lr: 1.0126e-04 lr: 1.1024e-05 eta: 1 day, 10:13:22 time: 2.0450 data_time: 0.1096 memory: 11532 grad_norm: 0.7721 loss: 0.2371 instance_segmentation_loss_cls: 0.0412 instance_segmentation_loss_mask: 0.0177 instance_segmentation_loss_dice: 0.1782 2024/08/16 03:39:27 - mmengine - INFO - Iter(train) [ 59950/120000] base_lr: 1.0113e-04 lr: 1.1012e-05 eta: 1 day, 10:11:37 time: 2.0449 data_time: 0.1096 memory: 11532 grad_norm: 0.7723 loss: 0.2372 instance_segmentation_loss_cls: 0.0412 instance_segmentation_loss_mask: 0.0177 instance_segmentation_loss_dice: 0.1783 2024/08/16 03:41:08 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 03:41:08 - mmengine - INFO - Iter(train) [ 60000/120000] base_lr: 1.0100e-04 lr: 1.1000e-05 eta: 1 day, 10:09:52 time: 2.0447 data_time: 0.1098 memory: 11945 grad_norm: 0.7723 loss: 0.2375 instance_segmentation_loss_cls: 0.0412 instance_segmentation_loss_mask: 0.0178 instance_segmentation_loss_dice: 0.1785 2024/08/16 03:41:08 - mmengine - INFO - Saving checkpoint at 60000 iterations 2024/08/16 03:41:36 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:22 time: 0.4553 data_time: 0.0182 memory: 5705 2024/08/16 03:41:59 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:59 time: 0.4543 data_time: 0.0181 memory: 5705 2024/08/16 03:42:22 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:35 time: 0.4532 data_time: 0.0179 memory: 5705 2024/08/16 03:42:44 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:12 time: 0.4522 data_time: 0.0179 memory: 5705 2024/08/16 03:43:06 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:49 time: 0.4512 data_time: 0.0179 memory: 5705 2024/08/16 03:43:29 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:26 time: 0.4510 data_time: 0.0177 memory: 5705 2024/08/16 03:43:52 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:04 time: 0.4509 data_time: 0.0177 memory: 5705 2024/08/16 03:44:14 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:41 time: 0.4509 data_time: 0.0177 memory: 5705 2024/08/16 03:44:36 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:18 time: 0.4508 data_time: 0.0176 memory: 5705 2024/08/16 03:44:58 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:56 time: 0.4507 data_time: 0.0177 memory: 5705 2024/08/16 03:45:21 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:33 time: 0.4505 data_time: 0.0176 memory: 5705 2024/08/16 03:45:44 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.4506 data_time: 0.0177 memory: 5705 2024/08/16 03:46:01 - mmengine - INFO - Evaluating segm... 2024/08/16 03:46:27 - mmengine - INFO - segm_mAP_copypaste: 0.392 0.595 0.427 0.196 0.441 0.588 2024/08/16 03:46:28 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.3920 coco/segm_mAP_50: 0.5950 coco/segm_mAP_75: 0.4270 coco/segm_mAP_s: 0.1960 coco/segm_mAP_m: 0.4410 coco/segm_mAP_l: 0.5880 data_time: 0.0178 time: 0.4503 2024/08/16 03:48:10 - mmengine - INFO - Iter(train) [ 60050/120000] base_lr: 1.0087e-04 lr: 1.0988e-05 eta: 1 day, 10:09:05 time: 2.0518 data_time: 0.1167 memory: 11691 grad_norm: 0.7721 loss: 0.2378 instance_segmentation_loss_cls: 0.0412 instance_segmentation_loss_mask: 0.0178 instance_segmentation_loss_dice: 0.1787 2024/08/16 03:49:52 - mmengine - INFO - Iter(train) [ 60100/120000] base_lr: 1.0074e-04 lr: 1.0977e-05 eta: 1 day, 10:07:22 time: 2.0519 data_time: 0.1167 memory: 11705 grad_norm: 0.7729 loss: 0.2377 instance_segmentation_loss_cls: 0.0412 instance_segmentation_loss_mask: 0.0178 instance_segmentation_loss_dice: 0.1787 2024/08/16 03:51:36 - mmengine - INFO - Iter(train) [ 60150/120000] base_lr: 1.0061e-04 lr: 1.0965e-05 eta: 1 day, 10:05:41 time: 2.0521 data_time: 0.1168 memory: 11671 grad_norm: 0.7721 loss: 0.2372 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0178 instance_segmentation_loss_dice: 0.1784 2024/08/16 03:53:19 - mmengine - INFO - Iter(train) [ 60200/120000] base_lr: 1.0048e-04 lr: 1.0953e-05 eta: 1 day, 10:04:00 time: 2.0523 data_time: 0.1168 memory: 11930 grad_norm: 0.7722 loss: 0.2371 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0177 instance_segmentation_loss_dice: 0.1784 2024/08/16 03:55:01 - mmengine - INFO - Iter(train) [ 60250/120000] base_lr: 1.0035e-04 lr: 1.0941e-05 eta: 1 day, 10:02:17 time: 2.0523 data_time: 0.1168 memory: 11576 grad_norm: 0.7720 loss: 0.2372 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0177 instance_segmentation_loss_dice: 0.1785 2024/08/16 03:56:44 - mmengine - INFO - Iter(train) [ 60300/120000] base_lr: 1.0023e-04 lr: 1.0930e-05 eta: 1 day, 10:00:35 time: 2.0525 data_time: 0.1168 memory: 11750 grad_norm: 0.7713 loss: 0.2371 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0177 instance_segmentation_loss_dice: 0.1785 2024/08/16 03:58:27 - mmengine - INFO - Iter(train) [ 60350/120000] base_lr: 1.0010e-04 lr: 1.0918e-05 eta: 1 day, 9:58:53 time: 2.0526 data_time: 0.1169 memory: 11902 grad_norm: 0.7712 loss: 0.2373 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0177 instance_segmentation_loss_dice: 0.1786 2024/08/16 04:00:10 - mmengine - INFO - Iter(train) [ 60400/120000] base_lr: 9.9966e-05 lr: 1.0906e-05 eta: 1 day, 9:57:11 time: 2.0530 data_time: 0.1168 memory: 11537 grad_norm: 0.7709 loss: 0.2370 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0177 instance_segmentation_loss_dice: 0.1784 2024/08/16 04:01:54 - mmengine - INFO - Iter(train) [ 60450/120000] base_lr: 9.9836e-05 lr: 1.0894e-05 eta: 1 day, 9:55:30 time: 2.0534 data_time: 0.1169 memory: 11695 grad_norm: 0.7701 loss: 0.2371 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0176 instance_segmentation_loss_dice: 0.1785 2024/08/16 04:03:37 - mmengine - INFO - Iter(train) [ 60500/120000] base_lr: 9.9707e-05 lr: 1.0882e-05 eta: 1 day, 9:53:49 time: 2.0536 data_time: 0.1170 memory: 11622 grad_norm: 0.7707 loss: 0.2375 instance_segmentation_loss_cls: 0.0411 instance_segmentation_loss_mask: 0.0177 instance_segmentation_loss_dice: 0.1788 2024/08/16 04:05:20 - mmengine - INFO - Iter(train) [ 60550/120000] base_lr: 9.9577e-05 lr: 1.0871e-05 eta: 1 day, 9:52:07 time: 2.0537 data_time: 0.1167 memory: 11703 grad_norm: 0.7701 loss: 0.2371 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0176 instance_segmentation_loss_dice: 0.1785 2024/08/16 04:07:03 - mmengine - INFO - Iter(train) [ 60600/120000] base_lr: 9.9448e-05 lr: 1.0859e-05 eta: 1 day, 9:50:25 time: 2.0538 data_time: 0.1168 memory: 11588 grad_norm: 0.7697 loss: 0.2373 instance_segmentation_loss_cls: 0.0411 instance_segmentation_loss_mask: 0.0177 instance_segmentation_loss_dice: 0.1785 2024/08/16 04:08:46 - mmengine - INFO - Iter(train) [ 60650/120000] base_lr: 9.9318e-05 lr: 1.0847e-05 eta: 1 day, 9:48:43 time: 2.0542 data_time: 0.1167 memory: 11721 grad_norm: 0.7700 loss: 0.2373 instance_segmentation_loss_cls: 0.0411 instance_segmentation_loss_mask: 0.0176 instance_segmentation_loss_dice: 0.1786 2024/08/16 04:10:28 - mmengine - INFO - Iter(train) [ 60700/120000] base_lr: 9.9188e-05 lr: 1.0835e-05 eta: 1 day, 9:47:01 time: 2.0541 data_time: 0.1167 memory: 11575 grad_norm: 0.7697 loss: 0.2368 instance_segmentation_loss_cls: 0.0411 instance_segmentation_loss_mask: 0.0176 instance_segmentation_loss_dice: 0.1782 2024/08/16 04:12:11 - mmengine - INFO - Iter(train) [ 60750/120000] base_lr: 9.9059e-05 lr: 1.0824e-05 eta: 1 day, 9:45:18 time: 2.0543 data_time: 0.1163 memory: 11655 grad_norm: 0.7695 loss: 0.2360 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0176 instance_segmentation_loss_dice: 0.1775 2024/08/16 04:13:54 - mmengine - INFO - Iter(train) [ 60800/120000] base_lr: 9.8929e-05 lr: 1.0812e-05 eta: 1 day, 9:43:36 time: 2.0543 data_time: 0.1161 memory: 11617 grad_norm: 0.7691 loss: 0.2352 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0175 instance_segmentation_loss_dice: 0.1767 2024/08/16 04:15:37 - mmengine - INFO - Iter(train) [ 60850/120000] base_lr: 9.8800e-05 lr: 1.0800e-05 eta: 1 day, 9:41:55 time: 2.0546 data_time: 0.1160 memory: 11684 grad_norm: 0.7697 loss: 0.2350 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0175 instance_segmentation_loss_dice: 0.1766 2024/08/16 04:17:20 - mmengine - INFO - Iter(train) [ 60900/120000] base_lr: 9.8670e-05 lr: 1.0788e-05 eta: 1 day, 9:40:13 time: 2.0549 data_time: 0.1162 memory: 11628 grad_norm: 0.7699 loss: 0.2352 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0175 instance_segmentation_loss_dice: 0.1768 2024/08/16 04:19:03 - mmengine - INFO - Iter(train) [ 60950/120000] base_lr: 9.8541e-05 lr: 1.0776e-05 eta: 1 day, 9:38:31 time: 2.0551 data_time: 0.1162 memory: 11717 grad_norm: 0.7704 loss: 0.2352 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0175 instance_segmentation_loss_dice: 0.1767 2024/08/16 04:20:46 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 04:20:46 - mmengine - INFO - Iter(train) [ 61000/120000] base_lr: 9.8411e-05 lr: 1.0765e-05 eta: 1 day, 9:36:50 time: 2.0553 data_time: 0.1163 memory: 11808 grad_norm: 0.7704 loss: 0.2353 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0175 instance_segmentation_loss_dice: 0.1768 2024/08/16 04:20:46 - mmengine - INFO - Saving checkpoint at 61000 iterations 2024/08/16 04:22:34 - mmengine - INFO - Iter(train) [ 61050/120000] base_lr: 9.8282e-05 lr: 1.0753e-05 eta: 1 day, 9:35:15 time: 2.0555 data_time: 0.1163 memory: 11537 grad_norm: 0.7701 loss: 0.2356 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0175 instance_segmentation_loss_dice: 0.1770 2024/08/16 04:24:16 - mmengine - INFO - Iter(train) [ 61100/120000] base_lr: 9.8152e-05 lr: 1.0741e-05 eta: 1 day, 9:33:32 time: 2.0556 data_time: 0.1162 memory: 11921 grad_norm: 0.7702 loss: 0.2356 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0175 instance_segmentation_loss_dice: 0.1771 2024/08/16 04:25:58 - mmengine - INFO - Iter(train) [ 61150/120000] base_lr: 9.8022e-05 lr: 1.0729e-05 eta: 1 day, 9:31:48 time: 2.0554 data_time: 0.1161 memory: 11873 grad_norm: 0.7711 loss: 0.2355 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0175 instance_segmentation_loss_dice: 0.1771 2024/08/16 04:27:41 - mmengine - INFO - Iter(train) [ 61200/120000] base_lr: 9.7893e-05 lr: 1.0718e-05 eta: 1 day, 9:30:06 time: 2.0554 data_time: 0.1162 memory: 11991 grad_norm: 0.7712 loss: 0.2354 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0175 instance_segmentation_loss_dice: 0.1770 2024/08/16 04:29:23 - mmengine - INFO - Iter(train) [ 61250/120000] base_lr: 9.7763e-05 lr: 1.0706e-05 eta: 1 day, 9:28:24 time: 2.0556 data_time: 0.1163 memory: 11645 grad_norm: 0.7708 loss: 0.2354 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0175 instance_segmentation_loss_dice: 0.1770 2024/08/16 04:31:06 - mmengine - INFO - Iter(train) [ 61300/120000] base_lr: 9.7634e-05 lr: 1.0694e-05 eta: 1 day, 9:26:41 time: 2.0556 data_time: 0.1163 memory: 11551 grad_norm: 0.7705 loss: 0.2353 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0175 instance_segmentation_loss_dice: 0.1768 2024/08/16 04:32:48 - mmengine - INFO - Iter(train) [ 61350/120000] base_lr: 9.7504e-05 lr: 1.0682e-05 eta: 1 day, 9:24:58 time: 2.0556 data_time: 0.1162 memory: 11589 grad_norm: 0.7712 loss: 0.2352 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0175 instance_segmentation_loss_dice: 0.1768 2024/08/16 04:34:30 - mmengine - INFO - Iter(train) [ 61400/120000] base_lr: 9.7375e-05 lr: 1.0670e-05 eta: 1 day, 9:23:15 time: 2.0556 data_time: 0.1164 memory: 11610 grad_norm: 0.7707 loss: 0.2351 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0174 instance_segmentation_loss_dice: 0.1767 2024/08/16 04:36:13 - mmengine - INFO - Iter(train) [ 61450/120000] base_lr: 9.7245e-05 lr: 1.0659e-05 eta: 1 day, 9:21:32 time: 2.0556 data_time: 0.1163 memory: 11729 grad_norm: 0.7707 loss: 0.2348 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0174 instance_segmentation_loss_dice: 0.1766 2024/08/16 04:37:55 - mmengine - INFO - Iter(train) [ 61500/120000] base_lr: 9.7116e-05 lr: 1.0647e-05 eta: 1 day, 9:19:50 time: 2.0557 data_time: 0.1163 memory: 11714 grad_norm: 0.7706 loss: 0.2348 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0173 instance_segmentation_loss_dice: 0.1766 2024/08/16 04:39:39 - mmengine - INFO - Iter(train) [ 61550/120000] base_lr: 9.6986e-05 lr: 1.0635e-05 eta: 1 day, 9:18:08 time: 2.0561 data_time: 0.1161 memory: 11812 grad_norm: 0.7712 loss: 0.2339 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_mask: 0.0173 instance_segmentation_loss_dice: 0.1759 2024/08/16 04:41:21 - mmengine - INFO - Iter(train) [ 61600/120000] base_lr: 9.6857e-05 lr: 1.0623e-05 eta: 1 day, 9:16:26 time: 2.0562 data_time: 0.1160 memory: 11717 grad_norm: 0.7715 loss: 0.2334 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1755 2024/08/16 04:43:03 - mmengine - INFO - Iter(train) [ 61650/120000] base_lr: 9.6727e-05 lr: 1.0612e-05 eta: 1 day, 9:14:42 time: 2.0562 data_time: 0.1163 memory: 11805 grad_norm: 0.7710 loss: 0.2339 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_mask: 0.0173 instance_segmentation_loss_dice: 0.1759 2024/08/16 04:44:45 - mmengine - INFO - Iter(train) [ 61700/120000] base_lr: 9.6598e-05 lr: 1.0600e-05 eta: 1 day, 9:12:59 time: 2.0560 data_time: 0.1162 memory: 11970 grad_norm: 0.7710 loss: 0.2337 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1758 2024/08/16 04:46:26 - mmengine - INFO - Iter(train) [ 61750/120000] base_lr: 9.6469e-05 lr: 1.0588e-05 eta: 1 day, 9:11:14 time: 2.0557 data_time: 0.1165 memory: 11537 grad_norm: 0.7706 loss: 0.2339 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1760 2024/08/16 04:48:09 - mmengine - INFO - Iter(train) [ 61800/120000] base_lr: 9.6339e-05 lr: 1.0576e-05 eta: 1 day, 9:09:32 time: 2.0559 data_time: 0.1165 memory: 11776 grad_norm: 0.7700 loss: 0.2338 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1759 2024/08/16 04:49:52 - mmengine - INFO - Iter(train) [ 61850/120000] base_lr: 9.6210e-05 lr: 1.0565e-05 eta: 1 day, 9:07:50 time: 2.0562 data_time: 0.1168 memory: 12346 grad_norm: 0.7700 loss: 0.2343 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1764 2024/08/16 04:51:35 - mmengine - INFO - Iter(train) [ 61900/120000] base_lr: 9.6080e-05 lr: 1.0553e-05 eta: 1 day, 9:06:08 time: 2.0564 data_time: 0.1170 memory: 12132 grad_norm: 0.7701 loss: 0.2348 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1768 2024/08/16 04:53:17 - mmengine - INFO - Iter(train) [ 61950/120000] base_lr: 9.5951e-05 lr: 1.0541e-05 eta: 1 day, 9:04:25 time: 2.0566 data_time: 0.1169 memory: 11537 grad_norm: 0.7701 loss: 0.2348 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1768 2024/08/16 04:54:59 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 04:54:59 - mmengine - INFO - Iter(train) [ 62000/120000] base_lr: 9.5821e-05 lr: 1.0529e-05 eta: 1 day, 9:02:41 time: 2.0565 data_time: 0.1169 memory: 11678 grad_norm: 0.7693 loss: 0.2350 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1769 2024/08/16 04:54:59 - mmengine - INFO - Saving checkpoint at 62000 iterations 2024/08/16 04:56:47 - mmengine - INFO - Iter(train) [ 62050/120000] base_lr: 9.5692e-05 lr: 1.0517e-05 eta: 1 day, 9:01:06 time: 2.0568 data_time: 0.1170 memory: 11917 grad_norm: 0.7692 loss: 0.2352 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1772 2024/08/16 04:58:29 - mmengine - INFO - Iter(train) [ 62100/120000] base_lr: 9.5563e-05 lr: 1.0506e-05 eta: 1 day, 8:59:24 time: 2.0574 data_time: 0.1169 memory: 11896 grad_norm: 0.7694 loss: 0.2352 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1772 2024/08/16 05:00:11 - mmengine - INFO - Iter(train) [ 62150/120000] base_lr: 9.5433e-05 lr: 1.0494e-05 eta: 1 day, 8:57:41 time: 2.0573 data_time: 0.1169 memory: 11742 grad_norm: 0.7691 loss: 0.2348 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1768 2024/08/16 05:01:54 - mmengine - INFO - Iter(train) [ 62200/120000] base_lr: 9.5304e-05 lr: 1.0482e-05 eta: 1 day, 8:55:59 time: 2.0574 data_time: 0.1168 memory: 11835 grad_norm: 0.7697 loss: 0.2348 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1768 2024/08/16 05:03:37 - mmengine - INFO - Iter(train) [ 62250/120000] base_lr: 9.5174e-05 lr: 1.0470e-05 eta: 1 day, 8:54:17 time: 2.0577 data_time: 0.1167 memory: 11551 grad_norm: 0.7700 loss: 0.2348 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1768 2024/08/16 05:05:19 - mmengine - INFO - Iter(train) [ 62300/120000] base_lr: 9.5045e-05 lr: 1.0459e-05 eta: 1 day, 8:52:33 time: 2.0577 data_time: 0.1168 memory: 11942 grad_norm: 0.7702 loss: 0.2351 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1771 2024/08/16 05:07:01 - mmengine - INFO - Iter(train) [ 62350/120000] base_lr: 9.4916e-05 lr: 1.0447e-05 eta: 1 day, 8:50:49 time: 2.0575 data_time: 0.1167 memory: 11697 grad_norm: 0.7705 loss: 0.2350 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1770 2024/08/16 05:08:42 - mmengine - INFO - Iter(train) [ 62400/120000] base_lr: 9.4786e-05 lr: 1.0435e-05 eta: 1 day, 8:49:05 time: 2.0573 data_time: 0.1167 memory: 11537 grad_norm: 0.7712 loss: 0.2353 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1772 2024/08/16 05:10:25 - mmengine - INFO - Iter(train) [ 62450/120000] base_lr: 9.4657e-05 lr: 1.0423e-05 eta: 1 day, 8:47:22 time: 2.0573 data_time: 0.1170 memory: 11864 grad_norm: 0.7709 loss: 0.2360 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1778 2024/08/16 05:12:07 - mmengine - INFO - Iter(train) [ 62500/120000] base_lr: 9.4528e-05 lr: 1.0412e-05 eta: 1 day, 8:45:39 time: 2.0574 data_time: 0.1170 memory: 11537 grad_norm: 0.7714 loss: 0.2359 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1778 2024/08/16 05:13:49 - mmengine - INFO - Iter(train) [ 62550/120000] base_lr: 9.4398e-05 lr: 1.0400e-05 eta: 1 day, 8:43:57 time: 2.0575 data_time: 0.1171 memory: 11537 grad_norm: 0.7715 loss: 0.2359 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1778 2024/08/16 05:15:31 - mmengine - INFO - Iter(train) [ 62600/120000] base_lr: 9.4269e-05 lr: 1.0388e-05 eta: 1 day, 8:42:12 time: 2.0575 data_time: 0.1172 memory: 11800 grad_norm: 0.7715 loss: 0.2361 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1779 2024/08/16 05:17:12 - mmengine - INFO - Iter(train) [ 62650/120000] base_lr: 9.4140e-05 lr: 1.0376e-05 eta: 1 day, 8:40:28 time: 2.0572 data_time: 0.1171 memory: 11760 grad_norm: 0.7708 loss: 0.2360 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0173 instance_segmentation_loss_dice: 0.1778 2024/08/16 05:18:54 - mmengine - INFO - Iter(train) [ 62700/120000] base_lr: 9.4011e-05 lr: 1.0365e-05 eta: 1 day, 8:38:44 time: 2.0569 data_time: 0.1170 memory: 11736 grad_norm: 0.7711 loss: 0.2356 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1774 2024/08/16 05:20:36 - mmengine - INFO - Iter(train) [ 62750/120000] base_lr: 9.3881e-05 lr: 1.0353e-05 eta: 1 day, 8:37:01 time: 2.0567 data_time: 0.1174 memory: 11834 grad_norm: 0.7714 loss: 0.2363 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1781 2024/08/16 05:22:18 - mmengine - INFO - Iter(train) [ 62800/120000] base_lr: 9.3752e-05 lr: 1.0341e-05 eta: 1 day, 8:35:17 time: 2.0566 data_time: 0.1174 memory: 12016 grad_norm: 0.7714 loss: 0.2359 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1778 2024/08/16 05:24:01 - mmengine - INFO - Iter(train) [ 62850/120000] base_lr: 9.3623e-05 lr: 1.0329e-05 eta: 1 day, 8:33:35 time: 2.0567 data_time: 0.1172 memory: 11537 grad_norm: 0.7714 loss: 0.2357 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1777 2024/08/16 05:25:43 - mmengine - INFO - Iter(train) [ 62900/120000] base_lr: 9.3494e-05 lr: 1.0318e-05 eta: 1 day, 8:31:52 time: 2.0568 data_time: 0.1172 memory: 11765 grad_norm: 0.7715 loss: 0.2357 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1776 2024/08/16 05:27:25 - mmengine - INFO - Iter(train) [ 62950/120000] base_lr: 9.3364e-05 lr: 1.0306e-05 eta: 1 day, 8:30:09 time: 2.0568 data_time: 0.1174 memory: 11775 grad_norm: 0.7724 loss: 0.2359 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1778 2024/08/16 05:29:07 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 05:29:07 - mmengine - INFO - Iter(train) [ 63000/120000] base_lr: 9.3235e-05 lr: 1.0294e-05 eta: 1 day, 8:28:25 time: 2.0567 data_time: 0.1177 memory: 11745 grad_norm: 0.7725 loss: 0.2358 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1777 2024/08/16 05:29:07 - mmengine - INFO - Saving checkpoint at 63000 iterations 2024/08/16 05:30:54 - mmengine - INFO - Iter(train) [ 63050/120000] base_lr: 9.3106e-05 lr: 1.0282e-05 eta: 1 day, 8:26:49 time: 2.0566 data_time: 0.1176 memory: 11614 grad_norm: 0.7727 loss: 0.2360 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1779 2024/08/16 05:32:35 - mmengine - INFO - Iter(train) [ 63100/120000] base_lr: 9.2977e-05 lr: 1.0271e-05 eta: 1 day, 8:25:05 time: 2.0566 data_time: 0.1177 memory: 11645 grad_norm: 0.7734 loss: 0.2362 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1781 2024/08/16 05:34:17 - mmengine - INFO - Iter(train) [ 63150/120000] base_lr: 9.2848e-05 lr: 1.0259e-05 eta: 1 day, 8:23:22 time: 2.0567 data_time: 0.1179 memory: 11665 grad_norm: 0.7739 loss: 0.2366 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1784 2024/08/16 05:36:00 - mmengine - INFO - Iter(train) [ 63200/120000] base_lr: 9.2718e-05 lr: 1.0247e-05 eta: 1 day, 8:21:39 time: 2.0570 data_time: 0.1180 memory: 11710 grad_norm: 0.7739 loss: 0.2365 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1784 2024/08/16 05:37:43 - mmengine - INFO - Iter(train) [ 63250/120000] base_lr: 9.2589e-05 lr: 1.0235e-05 eta: 1 day, 8:19:57 time: 2.0576 data_time: 0.1181 memory: 11838 grad_norm: 0.7738 loss: 0.2373 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1791 2024/08/16 05:39:25 - mmengine - INFO - Iter(train) [ 63300/120000] base_lr: 9.2460e-05 lr: 1.0224e-05 eta: 1 day, 8:18:14 time: 2.0576 data_time: 0.1182 memory: 11964 grad_norm: 0.7741 loss: 0.2376 instance_segmentation_loss_cls: 0.0411 instance_segmentation_loss_mask: 0.0173 instance_segmentation_loss_dice: 0.1792 2024/08/16 05:41:07 - mmengine - INFO - Iter(train) [ 63350/120000] base_lr: 9.2331e-05 lr: 1.0212e-05 eta: 1 day, 8:16:31 time: 2.0577 data_time: 0.1180 memory: 11580 grad_norm: 0.7742 loss: 0.2373 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1791 2024/08/16 05:42:50 - mmengine - INFO - Iter(train) [ 63400/120000] base_lr: 9.2202e-05 lr: 1.0200e-05 eta: 1 day, 8:14:48 time: 2.0580 data_time: 0.1181 memory: 12039 grad_norm: 0.7739 loss: 0.2374 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1792 2024/08/16 05:44:32 - mmengine - INFO - Iter(train) [ 63450/120000] base_lr: 9.2073e-05 lr: 1.0188e-05 eta: 1 day, 8:13:05 time: 2.0581 data_time: 0.1183 memory: 11708 grad_norm: 0.7736 loss: 0.2378 instance_segmentation_loss_cls: 0.0411 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1795 2024/08/16 05:46:14 - mmengine - INFO - Iter(train) [ 63500/120000] base_lr: 9.1944e-05 lr: 1.0177e-05 eta: 1 day, 8:11:22 time: 2.0581 data_time: 0.1181 memory: 11783 grad_norm: 0.7738 loss: 0.2373 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1791 2024/08/16 05:47:57 - mmengine - INFO - Iter(train) [ 63550/120000] base_lr: 9.1815e-05 lr: 1.0165e-05 eta: 1 day, 8:09:40 time: 2.0586 data_time: 0.1179 memory: 11903 grad_norm: 0.7733 loss: 0.2369 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1788 2024/08/16 05:49:40 - mmengine - INFO - Iter(train) [ 63600/120000] base_lr: 9.1686e-05 lr: 1.0153e-05 eta: 1 day, 8:07:58 time: 2.0590 data_time: 0.1178 memory: 11640 grad_norm: 0.7738 loss: 0.2367 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1786 2024/08/16 05:51:22 - mmengine - INFO - Iter(train) [ 63650/120000] base_lr: 9.1557e-05 lr: 1.0142e-05 eta: 1 day, 8:06:15 time: 2.0592 data_time: 0.1178 memory: 11891 grad_norm: 0.7744 loss: 0.2367 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1785 2024/08/16 05:53:04 - mmengine - INFO - Iter(train) [ 63700/120000] base_lr: 9.1428e-05 lr: 1.0130e-05 eta: 1 day, 8:04:32 time: 2.0595 data_time: 0.1178 memory: 11914 grad_norm: 0.7744 loss: 0.2367 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1785 2024/08/16 05:54:46 - mmengine - INFO - Iter(train) [ 63750/120000] base_lr: 9.1299e-05 lr: 1.0118e-05 eta: 1 day, 8:02:48 time: 2.0595 data_time: 0.1179 memory: 11583 grad_norm: 0.7741 loss: 0.2365 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1783 2024/08/16 05:56:28 - mmengine - INFO - Iter(train) [ 63800/120000] base_lr: 9.1170e-05 lr: 1.0106e-05 eta: 1 day, 8:01:05 time: 2.0596 data_time: 0.1177 memory: 12008 grad_norm: 0.7739 loss: 0.2354 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1774 2024/08/16 05:58:11 - mmengine - INFO - Iter(train) [ 63850/120000] base_lr: 9.1041e-05 lr: 1.0095e-05 eta: 1 day, 7:59:22 time: 2.0599 data_time: 0.1179 memory: 12159 grad_norm: 0.7744 loss: 0.2357 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1776 2024/08/16 05:59:54 - mmengine - INFO - Iter(train) [ 63900/120000] base_lr: 9.0912e-05 lr: 1.0083e-05 eta: 1 day, 7:57:41 time: 2.0602 data_time: 0.1182 memory: 11834 grad_norm: 0.7740 loss: 0.2363 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0172 instance_segmentation_loss_dice: 0.1781 2024/08/16 06:01:37 - mmengine - INFO - Iter(train) [ 63950/120000] base_lr: 9.0783e-05 lr: 1.0071e-05 eta: 1 day, 7:55:58 time: 2.0606 data_time: 0.1185 memory: 12255 grad_norm: 0.7739 loss: 0.2367 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1785 2024/08/16 06:03:18 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 06:03:18 - mmengine - INFO - Iter(train) [ 64000/120000] base_lr: 9.0654e-05 lr: 1.0059e-05 eta: 1 day, 7:54:15 time: 2.0607 data_time: 0.1182 memory: 11736 grad_norm: 0.7734 loss: 0.2364 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1783 2024/08/16 06:03:18 - mmengine - INFO - Saving checkpoint at 64000 iterations 2024/08/16 06:05:06 - mmengine - INFO - Iter(train) [ 64050/120000] base_lr: 9.0525e-05 lr: 1.0048e-05 eta: 1 day, 7:52:39 time: 2.0539 data_time: 0.1111 memory: 11680 grad_norm: 0.7735 loss: 0.2356 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1776 2024/08/16 06:06:49 - mmengine - INFO - Iter(train) [ 64100/120000] base_lr: 9.0397e-05 lr: 1.0036e-05 eta: 1 day, 7:50:57 time: 2.0540 data_time: 0.1110 memory: 11815 grad_norm: 0.7733 loss: 0.2355 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1776 2024/08/16 06:08:31 - mmengine - INFO - Iter(train) [ 64150/120000] base_lr: 9.0268e-05 lr: 1.0024e-05 eta: 1 day, 7:49:14 time: 2.0537 data_time: 0.1109 memory: 11928 grad_norm: 0.7740 loss: 0.2354 instance_segmentation_loss_cls: 0.0410 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1774 2024/08/16 06:10:13 - 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mmengine - INFO - Iter(train) [ 64600/120000] base_lr: 8.9109e-05 lr: 9.9190e-06 eta: 1 day, 7:33:50 time: 2.0526 data_time: 0.1107 memory: 11691 grad_norm: 0.7757 loss: 0.2349 instance_segmentation_loss_cls: 0.0409 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1769 2024/08/16 06:25:35 - mmengine - INFO - Iter(train) [ 64650/120000] base_lr: 8.8980e-05 lr: 9.9073e-06 eta: 1 day, 7:32:07 time: 2.0523 data_time: 0.1107 memory: 11784 grad_norm: 0.7755 loss: 0.2346 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1767 2024/08/16 06:27:18 - mmengine - INFO - Iter(train) [ 64700/120000] base_lr: 8.8852e-05 lr: 9.8956e-06 eta: 1 day, 7:30:24 time: 2.0522 data_time: 0.1107 memory: 11597 grad_norm: 0.7761 loss: 0.2345 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1766 2024/08/16 06:29:01 - mmengine - INFO - Iter(train) [ 64750/120000] base_lr: 8.8723e-05 lr: 9.8839e-06 eta: 1 day, 7:28:42 time: 2.0523 data_time: 0.1109 memory: 11679 grad_norm: 0.7761 loss: 0.2349 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1769 2024/08/16 06:30:44 - mmengine - INFO - Iter(train) [ 64800/120000] base_lr: 8.8595e-05 lr: 9.8722e-06 eta: 1 day, 7:27:00 time: 2.0524 data_time: 0.1108 memory: 11708 grad_norm: 0.7760 loss: 0.2346 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1768 2024/08/16 06:32:26 - mmengine - INFO - Iter(train) [ 64850/120000] base_lr: 8.8466e-05 lr: 9.8605e-06 eta: 1 day, 7:25:17 time: 2.0521 data_time: 0.1109 memory: 11661 grad_norm: 0.7756 loss: 0.2347 instance_segmentation_loss_cls: 0.0408 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1768 2024/08/16 06:34:08 - mmengine - INFO - Iter(train) [ 64900/120000] base_lr: 8.8337e-05 lr: 9.8489e-06 eta: 1 day, 7:23:34 time: 2.0518 data_time: 0.1108 memory: 11640 grad_norm: 0.7757 loss: 0.2345 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1767 2024/08/16 06:35:50 - mmengine - INFO - Iter(train) [ 64950/120000] base_lr: 8.8209e-05 lr: 9.8372e-06 eta: 1 day, 7:21:50 time: 2.0516 data_time: 0.1106 memory: 11782 grad_norm: 0.7756 loss: 0.2342 instance_segmentation_loss_cls: 0.0407 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1765 2024/08/16 06:37:32 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 06:37:32 - mmengine - INFO - Iter(train) [ 65000/120000] base_lr: 8.8080e-05 lr: 9.8255e-06 eta: 1 day, 7:20:07 time: 2.0512 data_time: 0.1104 memory: 12006 grad_norm: 0.7754 loss: 0.2336 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1760 2024/08/16 06:37:32 - mmengine - INFO - Saving checkpoint at 65000 iterations 2024/08/16 06:37:59 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:22 time: 0.4505 data_time: 0.0178 memory: 5705 2024/08/16 06:38:22 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:59 time: 0.4506 data_time: 0.0178 memory: 5705 2024/08/16 06:38:44 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:34 time: 0.4505 data_time: 0.0178 memory: 5705 2024/08/16 06:39:07 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:12 time: 0.4504 data_time: 0.0179 memory: 5705 2024/08/16 06:39:29 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:49 time: 0.4504 data_time: 0.0179 memory: 5705 2024/08/16 06:39:52 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:26 time: 0.4504 data_time: 0.0178 memory: 5705 2024/08/16 06:40:14 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:03 time: 0.4503 data_time: 0.0178 memory: 5705 2024/08/16 06:40:37 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:41 time: 0.4503 data_time: 0.0178 memory: 5705 2024/08/16 06:40:59 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:18 time: 0.4501 data_time: 0.0176 memory: 5705 2024/08/16 06:41:21 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:56 time: 0.4500 data_time: 0.0176 memory: 5705 2024/08/16 06:41:44 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:33 time: 0.4500 data_time: 0.0176 memory: 5705 2024/08/16 06:42:07 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.4499 data_time: 0.0177 memory: 5705 2024/08/16 06:42:25 - mmengine - INFO - Evaluating segm... 2024/08/16 06:42:50 - mmengine - INFO - segm_mAP_copypaste: 0.394 0.599 0.430 0.197 0.444 0.592 2024/08/16 06:42:51 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.3940 coco/segm_mAP_50: 0.5990 coco/segm_mAP_75: 0.4300 coco/segm_mAP_s: 0.1970 coco/segm_mAP_m: 0.4440 coco/segm_mAP_l: 0.5920 data_time: 0.0183 time: 0.4505 2024/08/16 06:44:33 - mmengine - INFO - Iter(train) [ 65050/120000] base_lr: 8.7952e-05 lr: 9.8138e-06 eta: 1 day, 7:19:08 time: 2.0580 data_time: 0.1174 memory: 11810 grad_norm: 0.7753 loss: 0.2338 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1762 2024/08/16 06:46:15 - mmengine - INFO - Iter(train) [ 65100/120000] base_lr: 8.7824e-05 lr: 9.8021e-06 eta: 1 day, 7:17:24 time: 2.0579 data_time: 0.1174 memory: 11695 grad_norm: 0.7747 loss: 0.2339 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1762 2024/08/16 06:47:56 - mmengine - INFO - Iter(train) [ 65150/120000] base_lr: 8.7695e-05 lr: 9.7905e-06 eta: 1 day, 7:15:41 time: 2.0578 data_time: 0.1174 memory: 12078 grad_norm: 0.7739 loss: 0.2340 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1763 2024/08/16 06:49:38 - mmengine - INFO - Iter(train) [ 65200/120000] base_lr: 8.7567e-05 lr: 9.7788e-06 eta: 1 day, 7:13:57 time: 2.0575 data_time: 0.1171 memory: 11679 grad_norm: 0.7739 loss: 0.2338 instance_segmentation_loss_cls: 0.0406 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1762 2024/08/16 06:51:19 - mmengine - INFO - Iter(train) [ 65250/120000] base_lr: 8.7438e-05 lr: 9.7671e-06 eta: 1 day, 7:12:12 time: 2.0572 data_time: 0.1167 memory: 11537 grad_norm: 0.7743 loss: 0.2333 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1757 2024/08/16 06:53:02 - mmengine - INFO - Iter(train) [ 65300/120000] base_lr: 8.7310e-05 lr: 9.7555e-06 eta: 1 day, 7:10:30 time: 2.0573 data_time: 0.1165 memory: 12319 grad_norm: 0.7743 loss: 0.2334 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1758 2024/08/16 06:54:45 - mmengine - INFO - Iter(train) [ 65350/120000] base_lr: 8.7182e-05 lr: 9.7438e-06 eta: 1 day, 7:08:48 time: 2.0575 data_time: 0.1164 memory: 12282 grad_norm: 0.7735 loss: 0.2330 instance_segmentation_loss_cls: 0.0405 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1755 2024/08/16 06:56:27 - mmengine - INFO - Iter(train) [ 65400/120000] base_lr: 8.7053e-05 lr: 9.7321e-06 eta: 1 day, 7:07:04 time: 2.0575 data_time: 0.1161 memory: 11871 grad_norm: 0.7734 loss: 0.2327 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1753 2024/08/16 06:58:09 - mmengine - INFO - Iter(train) [ 65450/120000] base_lr: 8.6925e-05 lr: 9.7205e-06 eta: 1 day, 7:05:21 time: 2.0573 data_time: 0.1159 memory: 12263 grad_norm: 0.7736 loss: 0.2326 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1752 2024/08/16 06:59:50 - mmengine - INFO - Iter(train) [ 65500/120000] base_lr: 8.6797e-05 lr: 9.7088e-06 eta: 1 day, 7:03:36 time: 2.0567 data_time: 0.1157 memory: 11996 grad_norm: 0.7742 loss: 0.2324 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1751 2024/08/16 07:01:32 - mmengine - INFO - Iter(train) [ 65550/120000] base_lr: 8.6669e-05 lr: 9.6971e-06 eta: 1 day, 7:01:53 time: 2.0565 data_time: 0.1154 memory: 11693 grad_norm: 0.7739 loss: 0.2320 instance_segmentation_loss_cls: 0.0403 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1747 2024/08/16 07:03:14 - mmengine - INFO - Iter(train) [ 65600/120000] base_lr: 8.6540e-05 lr: 9.6855e-06 eta: 1 day, 7:00:09 time: 2.0564 data_time: 0.1154 memory: 11700 grad_norm: 0.7735 loss: 0.2323 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1749 2024/08/16 07:04:55 - mmengine - INFO - Iter(train) [ 65650/120000] base_lr: 8.6412e-05 lr: 9.6738e-06 eta: 1 day, 6:58:25 time: 2.0563 data_time: 0.1153 memory: 11759 grad_norm: 0.7735 loss: 0.2322 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1748 2024/08/16 07:06:36 - mmengine - INFO - Iter(train) [ 65700/120000] base_lr: 8.6284e-05 lr: 9.6622e-06 eta: 1 day, 6:56:41 time: 2.0561 data_time: 0.1151 memory: 11962 grad_norm: 0.7738 loss: 0.2324 instance_segmentation_loss_cls: 0.0404 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1750 2024/08/16 07:08:19 - mmengine - INFO - Iter(train) [ 65750/120000] base_lr: 8.6156e-05 lr: 9.6505e-06 eta: 1 day, 6:54:58 time: 2.0563 data_time: 0.1149 memory: 12070 grad_norm: 0.7742 loss: 0.2322 instance_segmentation_loss_cls: 0.0403 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1748 2024/08/16 07:10:01 - mmengine - INFO - Iter(train) [ 65800/120000] base_lr: 8.6028e-05 lr: 9.6389e-06 eta: 1 day, 6:53:15 time: 2.0561 data_time: 0.1148 memory: 11924 grad_norm: 0.7739 loss: 0.2321 instance_segmentation_loss_cls: 0.0403 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1747 2024/08/16 07:11:43 - mmengine - INFO - Iter(train) [ 65850/120000] base_lr: 8.5900e-05 lr: 9.6272e-06 eta: 1 day, 6:51:32 time: 2.0559 data_time: 0.1146 memory: 12061 grad_norm: 0.7731 loss: 0.2322 instance_segmentation_loss_cls: 0.0403 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1748 2024/08/16 07:13:25 - mmengine - INFO - Iter(train) [ 65900/120000] base_lr: 8.5772e-05 lr: 9.6156e-06 eta: 1 day, 6:49:48 time: 2.0557 data_time: 0.1144 memory: 11962 grad_norm: 0.7728 loss: 0.2317 instance_segmentation_loss_cls: 0.0403 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1743 2024/08/16 07:15:07 - mmengine - INFO - Iter(train) [ 65950/120000] base_lr: 8.5644e-05 lr: 9.6040e-06 eta: 1 day, 6:48:05 time: 2.0557 data_time: 0.1143 memory: 11592 grad_norm: 0.7723 loss: 0.2314 instance_segmentation_loss_cls: 0.0403 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1741 2024/08/16 07:16:49 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 07:16:49 - mmengine - INFO - Iter(train) [ 66000/120000] base_lr: 8.5516e-05 lr: 9.5923e-06 eta: 1 day, 6:46:21 time: 2.0556 data_time: 0.1142 memory: 11607 grad_norm: 0.7722 loss: 0.2315 instance_segmentation_loss_cls: 0.0402 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1742 2024/08/16 07:16:49 - mmengine - INFO - Saving checkpoint at 66000 iterations 2024/08/16 07:18:35 - mmengine - INFO - Iter(train) [ 66050/120000] base_lr: 8.5388e-05 lr: 9.5807e-06 eta: 1 day, 6:44:43 time: 2.0553 data_time: 0.1139 memory: 11926 grad_norm: 0.7720 loss: 0.2311 instance_segmentation_loss_cls: 0.0402 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1738 2024/08/16 07:20:17 - mmengine - INFO - Iter(train) [ 66100/120000] base_lr: 8.5260e-05 lr: 9.5691e-06 eta: 1 day, 6:43:00 time: 2.0551 data_time: 0.1138 memory: 11791 grad_norm: 0.7728 loss: 0.2314 instance_segmentation_loss_cls: 0.0402 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1741 2024/08/16 07:21:58 - mmengine - INFO - Iter(train) [ 66150/120000] base_lr: 8.5132e-05 lr: 9.5574e-06 eta: 1 day, 6:41:15 time: 2.0547 data_time: 0.1137 memory: 11701 grad_norm: 0.7734 loss: 0.2314 instance_segmentation_loss_cls: 0.0402 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1741 2024/08/16 07:23:39 - mmengine - INFO - Iter(train) [ 66200/120000] base_lr: 8.5004e-05 lr: 9.5458e-06 eta: 1 day, 6:39:30 time: 2.0543 data_time: 0.1134 memory: 11618 grad_norm: 0.7733 loss: 0.2305 instance_segmentation_loss_cls: 0.0400 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1735 2024/08/16 07:25:20 - mmengine - INFO - Iter(train) [ 66250/120000] base_lr: 8.4876e-05 lr: 9.5342e-06 eta: 1 day, 6:37:46 time: 2.0540 data_time: 0.1136 memory: 11669 grad_norm: 0.7725 loss: 0.2310 instance_segmentation_loss_cls: 0.0401 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1738 2024/08/16 07:27:03 - mmengine - INFO - Iter(train) [ 66300/120000] base_lr: 8.4748e-05 lr: 9.5226e-06 eta: 1 day, 6:36:04 time: 2.0541 data_time: 0.1135 memory: 11618 grad_norm: 0.7718 loss: 0.2312 instance_segmentation_loss_cls: 0.0401 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1740 2024/08/16 07:28:45 - mmengine - INFO - Iter(train) [ 66350/120000] base_lr: 8.4620e-05 lr: 9.5109e-06 eta: 1 day, 6:34:20 time: 2.0542 data_time: 0.1133 memory: 11665 grad_norm: 0.7717 loss: 0.2307 instance_segmentation_loss_cls: 0.0401 instance_segmentation_loss_mask: 0.0171 instance_segmentation_loss_dice: 0.1735 2024/08/16 07:30:27 - mmengine - INFO - Iter(train) [ 66400/120000] base_lr: 8.4492e-05 lr: 9.4993e-06 eta: 1 day, 6:32:37 time: 2.0544 data_time: 0.1131 memory: 11558 grad_norm: 0.7715 loss: 0.2302 instance_segmentation_loss_cls: 0.0400 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1732 2024/08/16 07:32:09 - mmengine - INFO - Iter(train) [ 66450/120000] base_lr: 8.4365e-05 lr: 9.4877e-06 eta: 1 day, 6:30:53 time: 2.0542 data_time: 0.1129 memory: 11755 grad_norm: 0.7709 loss: 0.2300 instance_segmentation_loss_cls: 0.0399 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1731 2024/08/16 07:33:50 - mmengine - INFO - Iter(train) [ 66500/120000] base_lr: 8.4237e-05 lr: 9.4761e-06 eta: 1 day, 6:29:10 time: 2.0540 data_time: 0.1128 memory: 11639 grad_norm: 0.7704 loss: 0.2299 instance_segmentation_loss_cls: 0.0399 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1730 2024/08/16 07:35:32 - mmengine - INFO - Iter(train) [ 66550/120000] base_lr: 8.4109e-05 lr: 9.4645e-06 eta: 1 day, 6:27:26 time: 2.0539 data_time: 0.1128 memory: 11720 grad_norm: 0.7686 loss: 0.2301 instance_segmentation_loss_cls: 0.0399 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1731 2024/08/16 07:37:14 - mmengine - INFO - Iter(train) [ 66600/120000] base_lr: 8.3982e-05 lr: 9.4529e-06 eta: 1 day, 6:25:43 time: 2.0540 data_time: 0.1129 memory: 11759 grad_norm: 0.7690 loss: 0.2301 instance_segmentation_loss_cls: 0.0400 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1731 2024/08/16 07:38:56 - mmengine - INFO - Iter(train) [ 66650/120000] base_lr: 8.3854e-05 lr: 9.4413e-06 eta: 1 day, 6:23:59 time: 2.0541 data_time: 0.1127 memory: 11719 grad_norm: 0.7693 loss: 0.2301 instance_segmentation_loss_cls: 0.0399 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1733 2024/08/16 07:40:37 - mmengine - INFO - Iter(train) [ 66700/120000] base_lr: 8.3726e-05 lr: 9.4297e-06 eta: 1 day, 6:22:15 time: 2.0541 data_time: 0.1127 memory: 11769 grad_norm: 0.7687 loss: 0.2302 instance_segmentation_loss_cls: 0.0399 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1733 2024/08/16 07:42:19 - mmengine - INFO - Iter(train) [ 66750/120000] base_lr: 8.3599e-05 lr: 9.4181e-06 eta: 1 day, 6:20:31 time: 2.0538 data_time: 0.1125 memory: 11683 grad_norm: 0.7682 loss: 0.2297 instance_segmentation_loss_cls: 0.0399 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1729 2024/08/16 07:44:00 - mmengine - INFO - Iter(train) [ 66800/120000] base_lr: 8.3471e-05 lr: 9.4065e-06 eta: 1 day, 6:18:47 time: 2.0536 data_time: 0.1123 memory: 11731 grad_norm: 0.7680 loss: 0.2299 instance_segmentation_loss_cls: 0.0399 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1730 2024/08/16 07:45:41 - mmengine - INFO - Iter(train) [ 66850/120000] base_lr: 8.3344e-05 lr: 9.3949e-06 eta: 1 day, 6:17:02 time: 2.0532 data_time: 0.1122 memory: 11738 grad_norm: 0.7684 loss: 0.2299 instance_segmentation_loss_cls: 0.0399 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1731 2024/08/16 07:47:23 - mmengine - INFO - Iter(train) [ 66900/120000] base_lr: 8.3216e-05 lr: 9.3833e-06 eta: 1 day, 6:15:19 time: 2.0531 data_time: 0.1121 memory: 11727 grad_norm: 0.7689 loss: 0.2301 instance_segmentation_loss_cls: 0.0398 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1733 2024/08/16 07:49:04 - mmengine - INFO - Iter(train) [ 66950/120000] base_lr: 8.3089e-05 lr: 9.3717e-06 eta: 1 day, 6:13:34 time: 2.0527 data_time: 0.1117 memory: 11632 grad_norm: 0.7687 loss: 0.2298 instance_segmentation_loss_cls: 0.0398 instance_segmentation_loss_mask: 0.0170 instance_segmentation_loss_dice: 0.1731 2024/08/16 07:50:46 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 07:50:46 - mmengine - INFO - Iter(train) [ 67000/120000] base_lr: 8.2961e-05 lr: 9.3601e-06 eta: 1 day, 6:11:51 time: 2.0530 data_time: 0.1116 memory: 11688 grad_norm: 0.7685 loss: 0.2297 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1731 2024/08/16 07:50:46 - mmengine - INFO - Saving checkpoint at 67000 iterations 2024/08/16 07:52:31 - mmengine - INFO - Iter(train) [ 67050/120000] base_lr: 8.2834e-05 lr: 9.3485e-06 eta: 1 day, 6:10:12 time: 2.0527 data_time: 0.1115 memory: 11626 grad_norm: 0.7682 loss: 0.2292 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1726 2024/08/16 07:54:13 - 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mmengine - INFO - Iter(train) [ 67500/120000] base_lr: 8.1689e-05 lr: 9.2444e-06 eta: 1 day, 5:54:40 time: 2.0516 data_time: 0.1111 memory: 12043 grad_norm: 0.7682 loss: 0.2303 instance_segmentation_loss_cls: 0.0398 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1737 2024/08/16 08:09:30 - mmengine - INFO - Iter(train) [ 67550/120000] base_lr: 8.1562e-05 lr: 9.2329e-06 eta: 1 day, 5:52:57 time: 2.0513 data_time: 0.1112 memory: 11888 grad_norm: 0.7685 loss: 0.2306 instance_segmentation_loss_cls: 0.0398 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1739 2024/08/16 08:11:11 - mmengine - INFO - Iter(train) [ 67600/120000] base_lr: 8.1434e-05 lr: 9.2213e-06 eta: 1 day, 5:51:14 time: 2.0511 data_time: 0.1111 memory: 11537 grad_norm: 0.7685 loss: 0.2303 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1736 2024/08/16 08:12:53 - mmengine - INFO - Iter(train) [ 67650/120000] base_lr: 8.1307e-05 lr: 9.2098e-06 eta: 1 day, 5:49:30 time: 2.0509 data_time: 0.1108 memory: 11953 grad_norm: 0.7684 loss: 0.2298 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1732 2024/08/16 08:14:35 - mmengine - INFO - Iter(train) [ 67700/120000] base_lr: 8.1180e-05 lr: 9.1982e-06 eta: 1 day, 5:47:47 time: 2.0509 data_time: 0.1108 memory: 11609 grad_norm: 0.7686 loss: 0.2300 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1735 2024/08/16 08:16:17 - mmengine - INFO - Iter(train) [ 67750/120000] base_lr: 8.1054e-05 lr: 9.1867e-06 eta: 1 day, 5:46:04 time: 2.0510 data_time: 0.1106 memory: 11900 grad_norm: 0.7682 loss: 0.2299 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1734 2024/08/16 08:18:00 - mmengine - INFO - Iter(train) [ 67800/120000] base_lr: 8.0927e-05 lr: 9.1751e-06 eta: 1 day, 5:44:21 time: 2.0510 data_time: 0.1105 memory: 11584 grad_norm: 0.7682 loss: 0.2299 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1734 2024/08/16 08:19:42 - mmengine - INFO - Iter(train) [ 67850/120000] base_lr: 8.0800e-05 lr: 9.1636e-06 eta: 1 day, 5:42:38 time: 2.0510 data_time: 0.1104 memory: 11827 grad_norm: 0.7679 loss: 0.2300 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1735 2024/08/16 08:21:24 - mmengine - INFO - Iter(train) [ 67900/120000] base_lr: 8.0673e-05 lr: 9.1521e-06 eta: 1 day, 5:40:55 time: 2.0507 data_time: 0.1101 memory: 11638 grad_norm: 0.7685 loss: 0.2293 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1730 2024/08/16 08:23:06 - mmengine - INFO - Iter(train) [ 67950/120000] base_lr: 8.0546e-05 lr: 9.1406e-06 eta: 1 day, 5:39:12 time: 2.0504 data_time: 0.1098 memory: 11616 grad_norm: 0.7689 loss: 0.2290 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1727 2024/08/16 08:24:47 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 08:24:47 - mmengine - INFO - Iter(train) [ 68000/120000] base_lr: 8.0419e-05 lr: 9.1290e-06 eta: 1 day, 5:37:28 time: 2.0504 data_time: 0.1098 memory: 12131 grad_norm: 0.7693 loss: 0.2292 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1728 2024/08/16 08:24:47 - mmengine - INFO - Saving checkpoint at 68000 iterations 2024/08/16 08:26:35 - mmengine - INFO - Iter(train) [ 68050/120000] base_lr: 8.0293e-05 lr: 9.1175e-06 eta: 1 day, 5:35:51 time: 2.0503 data_time: 0.1099 memory: 11801 grad_norm: 0.7694 loss: 0.2295 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1731 2024/08/16 08:28:16 - mmengine - INFO - Iter(train) [ 68100/120000] base_lr: 8.0166e-05 lr: 9.1060e-06 eta: 1 day, 5:34:08 time: 2.0500 data_time: 0.1099 memory: 12116 grad_norm: 0.7699 loss: 0.2296 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1732 2024/08/16 08:29:58 - mmengine - INFO - Iter(train) [ 68150/120000] base_lr: 8.0039e-05 lr: 9.0945e-06 eta: 1 day, 5:32:24 time: 2.0499 data_time: 0.1099 memory: 11679 grad_norm: 0.7697 loss: 0.2299 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1734 2024/08/16 08:31:41 - mmengine - INFO - Iter(train) [ 68200/120000] base_lr: 7.9913e-05 lr: 9.0830e-06 eta: 1 day, 5:30:41 time: 2.0500 data_time: 0.1098 memory: 11646 grad_norm: 0.7695 loss: 0.2300 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1735 2024/08/16 08:33:22 - mmengine - INFO - Iter(train) [ 68250/120000] base_lr: 7.9786e-05 lr: 9.0714e-06 eta: 1 day, 5:28:58 time: 2.0498 data_time: 0.1095 memory: 11671 grad_norm: 0.7692 loss: 0.2295 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1732 2024/08/16 08:35:04 - mmengine - INFO - Iter(train) [ 68300/120000] base_lr: 7.9659e-05 lr: 9.0599e-06 eta: 1 day, 5:27:15 time: 2.0495 data_time: 0.1095 memory: 11537 grad_norm: 0.7696 loss: 0.2298 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0169 instance_segmentation_loss_dice: 0.1734 2024/08/16 08:36:47 - mmengine - INFO - Iter(train) [ 68350/120000] base_lr: 7.9533e-05 lr: 9.0484e-06 eta: 1 day, 5:25:32 time: 2.0497 data_time: 0.1095 memory: 11536 grad_norm: 0.7692 loss: 0.2296 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1732 2024/08/16 08:38:29 - 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mmengine - INFO - Iter(train) [ 68600/120000] base_lr: 7.8901e-05 lr: 8.9910e-06 eta: 1 day, 5:16:57 time: 2.0493 data_time: 0.1094 memory: 11628 grad_norm: 0.7703 loss: 0.2298 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1735 2024/08/16 08:47:00 - mmengine - INFO - Iter(train) [ 68650/120000] base_lr: 7.8774e-05 lr: 8.9795e-06 eta: 1 day, 5:15:15 time: 2.0494 data_time: 0.1092 memory: 11882 grad_norm: 0.7701 loss: 0.2295 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1731 2024/08/16 08:48:42 - mmengine - INFO - Iter(train) [ 68700/120000] base_lr: 7.8648e-05 lr: 8.9680e-06 eta: 1 day, 5:13:32 time: 2.0493 data_time: 0.1091 memory: 11879 grad_norm: 0.7702 loss: 0.2294 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1731 2024/08/16 08:50:24 - mmengine - INFO - Iter(train) [ 68750/120000] base_lr: 7.8522e-05 lr: 8.9565e-06 eta: 1 day, 5:11:48 time: 2.0491 data_time: 0.1091 memory: 11723 grad_norm: 0.7704 loss: 0.2298 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1735 2024/08/16 08:52:07 - 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mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 08:58:57 - mmengine - INFO - Iter(train) [ 69000/120000] base_lr: 7.7891e-05 lr: 8.8992e-06 eta: 1 day, 5:03:16 time: 2.0496 data_time: 0.1087 memory: 11783 grad_norm: 0.7706 loss: 0.2305 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1742 2024/08/16 08:58:57 - mmengine - INFO - Saving checkpoint at 69000 iterations 2024/08/16 09:00:44 - mmengine - INFO - Iter(train) [ 69050/120000] base_lr: 7.7765e-05 lr: 8.8878e-06 eta: 1 day, 5:01:38 time: 2.0426 data_time: 0.1016 memory: 11827 grad_norm: 0.7707 loss: 0.2303 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1740 2024/08/16 09:02:25 - mmengine - INFO - Iter(train) [ 69100/120000] base_lr: 7.7639e-05 lr: 8.8763e-06 eta: 1 day, 4:59:54 time: 2.0426 data_time: 0.1016 memory: 11984 grad_norm: 0.7710 loss: 0.2302 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1740 2024/08/16 09:04:08 - 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mmengine - INFO - Iter(train) [ 69350/120000] base_lr: 7.7010e-05 lr: 8.8191e-06 eta: 1 day, 4:51:18 time: 2.0423 data_time: 0.1017 memory: 11715 grad_norm: 0.7709 loss: 0.2297 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1735 2024/08/16 09:12:36 - mmengine - INFO - Iter(train) [ 69400/120000] base_lr: 7.6885e-05 lr: 8.8077e-06 eta: 1 day, 4:49:34 time: 2.0422 data_time: 0.1019 memory: 11678 grad_norm: 0.7711 loss: 0.2301 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1739 2024/08/16 09:14:18 - mmengine - INFO - Iter(train) [ 69450/120000] base_lr: 7.6759e-05 lr: 8.7963e-06 eta: 1 day, 4:47:50 time: 2.0420 data_time: 0.1019 memory: 11834 grad_norm: 0.7712 loss: 0.2300 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1738 2024/08/16 09:16:00 - mmengine - INFO - Iter(train) [ 69500/120000] base_lr: 7.6633e-05 lr: 8.7848e-06 eta: 1 day, 4:46:07 time: 2.0424 data_time: 0.1020 memory: 11612 grad_norm: 0.7707 loss: 0.2305 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1742 2024/08/16 09:17:42 - mmengine - INFO - Iter(train) [ 69550/120000] base_lr: 7.6508e-05 lr: 8.7734e-06 eta: 1 day, 4:44:24 time: 2.0424 data_time: 0.1023 memory: 11704 grad_norm: 0.7702 loss: 0.2311 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1748 2024/08/16 09:19:24 - mmengine - INFO - Iter(train) [ 69600/120000] base_lr: 7.6382e-05 lr: 8.7620e-06 eta: 1 day, 4:42:41 time: 2.0423 data_time: 0.1025 memory: 11748 grad_norm: 0.7703 loss: 0.2316 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1753 2024/08/16 09:21:06 - mmengine - INFO - Iter(train) [ 69650/120000] base_lr: 7.6257e-05 lr: 8.7506e-06 eta: 1 day, 4:40:58 time: 2.0426 data_time: 0.1025 memory: 11725 grad_norm: 0.7704 loss: 0.2318 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1755 2024/08/16 09:22:48 - mmengine - INFO - Iter(train) [ 69700/120000] base_lr: 7.6131e-05 lr: 8.7392e-06 eta: 1 day, 4:39:15 time: 2.0428 data_time: 0.1026 memory: 12015 grad_norm: 0.7704 loss: 0.2316 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1754 2024/08/16 09:24:30 - mmengine - INFO - Iter(train) [ 69750/120000] base_lr: 7.6006e-05 lr: 8.7278e-06 eta: 1 day, 4:37:31 time: 2.0426 data_time: 0.1027 memory: 11805 grad_norm: 0.7693 loss: 0.2316 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1754 2024/08/16 09:26:12 - mmengine - INFO - Iter(train) [ 69800/120000] base_lr: 7.5880e-05 lr: 8.7164e-06 eta: 1 day, 4:35:48 time: 2.0426 data_time: 0.1028 memory: 11826 grad_norm: 0.7699 loss: 0.2317 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1755 2024/08/16 09:27:55 - mmengine - INFO - Iter(train) [ 69850/120000] base_lr: 7.5755e-05 lr: 8.7050e-06 eta: 1 day, 4:34:06 time: 2.0427 data_time: 0.1027 memory: 11540 grad_norm: 0.7702 loss: 0.2313 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1751 2024/08/16 09:29:37 - mmengine - INFO - Iter(train) [ 69900/120000] base_lr: 7.5630e-05 lr: 8.6936e-06 eta: 1 day, 4:32:23 time: 2.0428 data_time: 0.1026 memory: 11819 grad_norm: 0.7701 loss: 0.2311 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0166 instance_segmentation_loss_dice: 0.1750 2024/08/16 09:31:19 - mmengine - INFO - Iter(train) [ 69950/120000] base_lr: 7.5505e-05 lr: 8.6822e-06 eta: 1 day, 4:30:40 time: 2.0429 data_time: 0.1027 memory: 11681 grad_norm: 0.7702 loss: 0.2314 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0166 instance_segmentation_loss_dice: 0.1752 2024/08/16 09:33:02 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 09:33:02 - mmengine - INFO - Iter(train) [ 70000/120000] base_lr: 7.5379e-05 lr: 8.6709e-06 eta: 1 day, 4:28:58 time: 2.0432 data_time: 0.1027 memory: 11847 grad_norm: 0.7699 loss: 0.2312 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1750 2024/08/16 09:33:02 - mmengine - INFO - Saving checkpoint at 70000 iterations 2024/08/16 09:33:30 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:18 time: 0.4500 data_time: 0.0179 memory: 5705 2024/08/16 09:33:52 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:56 time: 0.4501 data_time: 0.0179 memory: 5705 2024/08/16 09:34:14 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:32 time: 0.4501 data_time: 0.0178 memory: 5705 2024/08/16 09:34:37 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:10 time: 0.4500 data_time: 0.0179 memory: 5705 2024/08/16 09:34:59 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:47 time: 0.4499 data_time: 0.0179 memory: 5705 2024/08/16 09:35:21 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:25 time: 0.4498 data_time: 0.0178 memory: 5705 2024/08/16 09:35:44 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:03 time: 0.4497 data_time: 0.0178 memory: 5705 2024/08/16 09:36:06 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:40 time: 0.4497 data_time: 0.0178 memory: 5705 2024/08/16 09:36:28 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:18 time: 0.4495 data_time: 0.0176 memory: 5705 2024/08/16 09:36:50 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:55 time: 0.4494 data_time: 0.0177 memory: 5705 2024/08/16 09:37:12 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:33 time: 0.4493 data_time: 0.0176 memory: 5705 2024/08/16 09:37:35 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.4495 data_time: 0.0177 memory: 5705 2024/08/16 09:37:53 - mmengine - INFO - Evaluating segm... 2024/08/16 09:38:19 - mmengine - INFO - segm_mAP_copypaste: 0.397 0.602 0.432 0.198 0.448 0.594 2024/08/16 09:38:19 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.3970 coco/segm_mAP_50: 0.6020 coco/segm_mAP_75: 0.4320 coco/segm_mAP_s: 0.1980 coco/segm_mAP_m: 0.4480 coco/segm_mAP_l: 0.5940 data_time: 0.0176 time: 0.4473 2024/08/16 09:40:01 - mmengine - INFO - Iter(train) [ 70050/120000] base_lr: 7.5254e-05 lr: 8.6595e-06 eta: 1 day, 4:27:50 time: 2.0502 data_time: 0.1096 memory: 11812 grad_norm: 0.7698 loss: 0.2316 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1754 2024/08/16 09:41:44 - mmengine - INFO - Iter(train) [ 70100/120000] base_lr: 7.5129e-05 lr: 8.6481e-06 eta: 1 day, 4:26:08 time: 2.0503 data_time: 0.1097 memory: 11756 grad_norm: 0.7696 loss: 0.2315 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1753 2024/08/16 09:43:26 - mmengine - INFO - Iter(train) [ 70150/120000] base_lr: 7.5004e-05 lr: 8.6367e-06 eta: 1 day, 4:24:24 time: 2.0506 data_time: 0.1098 memory: 11666 grad_norm: 0.7690 loss: 0.2315 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1753 2024/08/16 09:45:07 - mmengine - INFO - Iter(train) [ 70200/120000] base_lr: 7.4879e-05 lr: 8.6254e-06 eta: 1 day, 4:22:41 time: 2.0507 data_time: 0.1099 memory: 12220 grad_norm: 0.7687 loss: 0.2321 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1758 2024/08/16 09:46:49 - mmengine - INFO - Iter(train) [ 70250/120000] base_lr: 7.4754e-05 lr: 8.6140e-06 eta: 1 day, 4:20:57 time: 2.0507 data_time: 0.1099 memory: 11705 grad_norm: 0.7697 loss: 0.2321 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1758 2024/08/16 09:48:31 - mmengine - INFO - Iter(train) [ 70300/120000] base_lr: 7.4629e-05 lr: 8.6027e-06 eta: 1 day, 4:19:14 time: 2.0507 data_time: 0.1099 memory: 11942 grad_norm: 0.7701 loss: 0.2315 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1753 2024/08/16 09:50:12 - mmengine - INFO - Iter(train) [ 70350/120000] base_lr: 7.4504e-05 lr: 8.5913e-06 eta: 1 day, 4:17:30 time: 2.0505 data_time: 0.1100 memory: 11797 grad_norm: 0.7701 loss: 0.2320 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1757 2024/08/16 09:51:54 - mmengine - INFO - Iter(train) [ 70400/120000] base_lr: 7.4379e-05 lr: 8.5799e-06 eta: 1 day, 4:15:47 time: 2.0505 data_time: 0.1101 memory: 12073 grad_norm: 0.7695 loss: 0.2320 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1758 2024/08/16 09:53:36 - mmengine - INFO - Iter(train) [ 70450/120000] base_lr: 7.4255e-05 lr: 8.5686e-06 eta: 1 day, 4:14:03 time: 2.0504 data_time: 0.1101 memory: 11774 grad_norm: 0.7695 loss: 0.2319 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1757 2024/08/16 09:55:17 - mmengine - INFO - Iter(train) [ 70500/120000] base_lr: 7.4130e-05 lr: 8.5573e-06 eta: 1 day, 4:12:20 time: 2.0504 data_time: 0.1100 memory: 11617 grad_norm: 0.7693 loss: 0.2318 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1756 2024/08/16 09:56:58 - mmengine - INFO - Iter(train) [ 70550/120000] base_lr: 7.4005e-05 lr: 8.5459e-06 eta: 1 day, 4:10:35 time: 2.0501 data_time: 0.1102 memory: 11672 grad_norm: 0.7702 loss: 0.2321 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1759 2024/08/16 09:58:40 - mmengine - INFO - Iter(train) [ 70600/120000] base_lr: 7.3881e-05 lr: 8.5346e-06 eta: 1 day, 4:08:51 time: 2.0500 data_time: 0.1101 memory: 11881 grad_norm: 0.7701 loss: 0.2323 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1760 2024/08/16 10:00:22 - mmengine - INFO - Iter(train) [ 70650/120000] base_lr: 7.3756e-05 lr: 8.5233e-06 eta: 1 day, 4:07:09 time: 2.0501 data_time: 0.1103 memory: 11746 grad_norm: 0.7696 loss: 0.2323 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1760 2024/08/16 10:02:05 - mmengine - INFO - Iter(train) [ 70700/120000] base_lr: 7.3631e-05 lr: 8.5119e-06 eta: 1 day, 4:05:26 time: 2.0505 data_time: 0.1105 memory: 11822 grad_norm: 0.7698 loss: 0.2326 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1762 2024/08/16 10:03:46 - mmengine - INFO - Iter(train) [ 70750/120000] base_lr: 7.3507e-05 lr: 8.5006e-06 eta: 1 day, 4:03:42 time: 2.0504 data_time: 0.1103 memory: 11532 grad_norm: 0.7702 loss: 0.2321 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1759 2024/08/16 10:05:28 - mmengine - INFO - Iter(train) [ 70800/120000] base_lr: 7.3382e-05 lr: 8.4893e-06 eta: 1 day, 4:01:59 time: 2.0506 data_time: 0.1105 memory: 11752 grad_norm: 0.7700 loss: 0.2323 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1759 2024/08/16 10:07:09 - mmengine - INFO - Iter(train) [ 70850/120000] base_lr: 7.3258e-05 lr: 8.4780e-06 eta: 1 day, 4:00:15 time: 2.0507 data_time: 0.1104 memory: 11885 grad_norm: 0.7696 loss: 0.2323 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1759 2024/08/16 10:08:51 - mmengine - INFO - Iter(train) [ 70900/120000] base_lr: 7.3134e-05 lr: 8.4667e-06 eta: 1 day, 3:58:32 time: 2.0508 data_time: 0.1103 memory: 11872 grad_norm: 0.7694 loss: 0.2323 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1759 2024/08/16 10:10:33 - mmengine - INFO - Iter(train) [ 70950/120000] base_lr: 7.3009e-05 lr: 8.4554e-06 eta: 1 day, 3:56:49 time: 2.0510 data_time: 0.1106 memory: 11735 grad_norm: 0.7691 loss: 0.2331 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1766 2024/08/16 10:12:15 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 10:12:15 - mmengine - INFO - Iter(train) [ 71000/120000] base_lr: 7.2885e-05 lr: 8.4441e-06 eta: 1 day, 3:55:06 time: 2.0510 data_time: 0.1104 memory: 11681 grad_norm: 0.7690 loss: 0.2329 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1765 2024/08/16 10:12:15 - mmengine - INFO - Saving checkpoint at 71000 iterations 2024/08/16 10:14:02 - mmengine - INFO - Iter(train) [ 71050/120000] base_lr: 7.2761e-05 lr: 8.4328e-06 eta: 1 day, 3:53:28 time: 2.0513 data_time: 0.1104 memory: 12147 grad_norm: 0.7693 loss: 0.2331 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1766 2024/08/16 10:15:44 - mmengine - INFO - Iter(train) [ 71100/120000] base_lr: 7.2637e-05 lr: 8.4215e-06 eta: 1 day, 3:51:44 time: 2.0513 data_time: 0.1104 memory: 11659 grad_norm: 0.7688 loss: 0.2334 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1769 2024/08/16 10:17:27 - mmengine - INFO - Iter(train) [ 71150/120000] base_lr: 7.2512e-05 lr: 8.4102e-06 eta: 1 day, 3:50:02 time: 2.0517 data_time: 0.1104 memory: 11665 grad_norm: 0.7687 loss: 0.2335 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1770 2024/08/16 10:19:10 - mmengine - INFO - Iter(train) [ 71200/120000] base_lr: 7.2388e-05 lr: 8.3989e-06 eta: 1 day, 3:48:20 time: 2.0518 data_time: 0.1106 memory: 11820 grad_norm: 0.7695 loss: 0.2335 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1769 2024/08/16 10:20:51 - mmengine - INFO - Iter(train) [ 71250/120000] base_lr: 7.2264e-05 lr: 8.3877e-06 eta: 1 day, 3:46:36 time: 2.0515 data_time: 0.1105 memory: 11599 grad_norm: 0.7697 loss: 0.2330 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1765 2024/08/16 10:22:33 - mmengine - INFO - Iter(train) [ 71300/120000] base_lr: 7.2140e-05 lr: 8.3764e-06 eta: 1 day, 3:44:53 time: 2.0517 data_time: 0.1105 memory: 11705 grad_norm: 0.7705 loss: 0.2330 instance_segmentation_loss_cls: 0.0397 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1766 2024/08/16 10:24:15 - mmengine - INFO - Iter(train) [ 71350/120000] base_lr: 7.2016e-05 lr: 8.3651e-06 eta: 1 day, 3:43:10 time: 2.0519 data_time: 0.1103 memory: 12013 grad_norm: 0.7700 loss: 0.2324 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1761 2024/08/16 10:25:56 - mmengine - INFO - Iter(train) [ 71400/120000] base_lr: 7.1892e-05 lr: 8.3539e-06 eta: 1 day, 3:41:25 time: 2.0515 data_time: 0.1104 memory: 11766 grad_norm: 0.7699 loss: 0.2325 instance_segmentation_loss_cls: 0.0396 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1762 2024/08/16 10:27:37 - mmengine - INFO - Iter(train) [ 71450/120000] base_lr: 7.1769e-05 lr: 8.3426e-06 eta: 1 day, 3:39:42 time: 2.0516 data_time: 0.1105 memory: 11705 grad_norm: 0.7697 loss: 0.2322 instance_segmentation_loss_cls: 0.0395 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1760 2024/08/16 10:29:19 - mmengine - INFO - Iter(train) [ 71500/120000] base_lr: 7.1645e-05 lr: 8.3314e-06 eta: 1 day, 3:37:58 time: 2.0516 data_time: 0.1104 memory: 11629 grad_norm: 0.7698 loss: 0.2317 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1755 2024/08/16 10:31:02 - mmengine - INFO - Iter(train) [ 71550/120000] base_lr: 7.1521e-05 lr: 8.3201e-06 eta: 1 day, 3:36:16 time: 2.0517 data_time: 0.1102 memory: 11951 grad_norm: 0.7696 loss: 0.2312 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1751 2024/08/16 10:32:44 - mmengine - INFO - Iter(train) [ 71600/120000] base_lr: 7.1397e-05 lr: 8.3089e-06 eta: 1 day, 3:34:33 time: 2.0517 data_time: 0.1103 memory: 11579 grad_norm: 0.7694 loss: 0.2315 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1754 2024/08/16 10:34:25 - mmengine - INFO - Iter(train) [ 71650/120000] base_lr: 7.1274e-05 lr: 8.2976e-06 eta: 1 day, 3:32:49 time: 2.0516 data_time: 0.1104 memory: 11757 grad_norm: 0.7687 loss: 0.2316 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1755 2024/08/16 10:36:07 - mmengine - INFO - Iter(train) [ 71700/120000] base_lr: 7.1150e-05 lr: 8.2864e-06 eta: 1 day, 3:31:06 time: 2.0516 data_time: 0.1104 memory: 12065 grad_norm: 0.7690 loss: 0.2313 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1752 2024/08/16 10:37:48 - mmengine - INFO - Iter(train) [ 71750/120000] base_lr: 7.1027e-05 lr: 8.2752e-06 eta: 1 day, 3:29:22 time: 2.0514 data_time: 0.1105 memory: 11546 grad_norm: 0.7698 loss: 0.2315 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1753 2024/08/16 10:39:31 - mmengine - INFO - Iter(train) [ 71800/120000] base_lr: 7.0903e-05 lr: 8.2639e-06 eta: 1 day, 3:27:39 time: 2.0515 data_time: 0.1106 memory: 11685 grad_norm: 0.7694 loss: 0.2317 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1755 2024/08/16 10:41:12 - mmengine - INFO - Iter(train) [ 71850/120000] base_lr: 7.0780e-05 lr: 8.2527e-06 eta: 1 day, 3:25:55 time: 2.0512 data_time: 0.1106 memory: 12032 grad_norm: 0.7700 loss: 0.2317 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1755 2024/08/16 10:42:54 - mmengine - INFO - Iter(train) [ 71900/120000] base_lr: 7.0656e-05 lr: 8.2415e-06 eta: 1 day, 3:24:12 time: 2.0512 data_time: 0.1107 memory: 11547 grad_norm: 0.7700 loss: 0.2319 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1757 2024/08/16 10:44:36 - mmengine - INFO - Iter(train) [ 71950/120000] base_lr: 7.0533e-05 lr: 8.2303e-06 eta: 1 day, 3:22:29 time: 2.0512 data_time: 0.1106 memory: 11738 grad_norm: 0.7697 loss: 0.2315 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1755 2024/08/16 10:46:18 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 10:46:18 - mmengine - INFO - Iter(train) [ 72000/120000] base_lr: 7.0410e-05 lr: 8.2191e-06 eta: 1 day, 3:20:45 time: 2.0512 data_time: 0.1108 memory: 11744 grad_norm: 0.7697 loss: 0.2318 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1757 2024/08/16 10:46:18 - mmengine - INFO - Saving checkpoint at 72000 iterations 2024/08/16 10:48:05 - mmengine - INFO - Iter(train) [ 72050/120000] base_lr: 7.0287e-05 lr: 8.2079e-06 eta: 1 day, 3:19:07 time: 2.0511 data_time: 0.1110 memory: 12085 grad_norm: 0.7697 loss: 0.2320 instance_segmentation_loss_cls: 0.0394 instance_segmentation_loss_mask: 0.0168 instance_segmentation_loss_dice: 0.1758 2024/08/16 10:49:46 - mmengine - INFO - Iter(train) [ 72100/120000] base_lr: 7.0163e-05 lr: 8.1967e-06 eta: 1 day, 3:17:24 time: 2.0511 data_time: 0.1108 memory: 11650 grad_norm: 0.7686 loss: 0.2314 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1753 2024/08/16 10:51:28 - mmengine - INFO - Iter(train) [ 72150/120000] base_lr: 7.0040e-05 lr: 8.1855e-06 eta: 1 day, 3:15:41 time: 2.0511 data_time: 0.1106 memory: 11625 grad_norm: 0.7683 loss: 0.2308 instance_segmentation_loss_cls: 0.0393 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1748 2024/08/16 10:53:11 - mmengine - INFO - Iter(train) [ 72200/120000] base_lr: 6.9917e-05 lr: 8.1743e-06 eta: 1 day, 3:13:58 time: 2.0512 data_time: 0.1104 memory: 11560 grad_norm: 0.7679 loss: 0.2303 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1745 2024/08/16 10:54:53 - mmengine - INFO - Iter(train) [ 72250/120000] base_lr: 6.9794e-05 lr: 8.1631e-06 eta: 1 day, 3:12:16 time: 2.0514 data_time: 0.1103 memory: 11734 grad_norm: 0.7687 loss: 0.2300 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1742 2024/08/16 10:56:36 - mmengine - INFO - Iter(train) [ 72300/120000] base_lr: 6.9671e-05 lr: 8.1519e-06 eta: 1 day, 3:10:33 time: 2.0515 data_time: 0.1103 memory: 11683 grad_norm: 0.7693 loss: 0.2299 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1741 2024/08/16 10:58:18 - mmengine - INFO - Iter(train) [ 72350/120000] base_lr: 6.9548e-05 lr: 8.1408e-06 eta: 1 day, 3:08:50 time: 2.0514 data_time: 0.1105 memory: 12183 grad_norm: 0.7697 loss: 0.2304 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1745 2024/08/16 10:59:59 - mmengine - INFO - Iter(train) [ 72400/120000] base_lr: 6.9425e-05 lr: 8.1296e-06 eta: 1 day, 3:07:06 time: 2.0511 data_time: 0.1105 memory: 11787 grad_norm: 0.7699 loss: 0.2305 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1746 2024/08/16 11:01:41 - mmengine - INFO - Iter(train) [ 72450/120000] base_lr: 6.9303e-05 lr: 8.1184e-06 eta: 1 day, 3:05:23 time: 2.0511 data_time: 0.1106 memory: 11905 grad_norm: 0.7693 loss: 0.2304 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1745 2024/08/16 11:03:22 - mmengine - INFO - Iter(train) [ 72500/120000] base_lr: 6.9180e-05 lr: 8.1073e-06 eta: 1 day, 3:03:39 time: 2.0509 data_time: 0.1106 memory: 11784 grad_norm: 0.7685 loss: 0.2305 instance_segmentation_loss_cls: 0.0392 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1746 2024/08/16 11:05:04 - mmengine - INFO - Iter(train) [ 72550/120000] base_lr: 6.9057e-05 lr: 8.0961e-06 eta: 1 day, 3:01:55 time: 2.0508 data_time: 0.1105 memory: 11785 grad_norm: 0.7687 loss: 0.2303 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1744 2024/08/16 11:06:46 - mmengine - INFO - Iter(train) [ 72600/120000] base_lr: 6.8935e-05 lr: 8.0850e-06 eta: 1 day, 3:00:13 time: 2.0507 data_time: 0.1105 memory: 11604 grad_norm: 0.7685 loss: 0.2303 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1745 2024/08/16 11:08:28 - mmengine - INFO - Iter(train) [ 72650/120000] base_lr: 6.8812e-05 lr: 8.0738e-06 eta: 1 day, 2:58:29 time: 2.0505 data_time: 0.1106 memory: 11740 grad_norm: 0.7688 loss: 0.2305 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1747 2024/08/16 11:10:10 - mmengine - INFO - Iter(train) [ 72700/120000] base_lr: 6.8690e-05 lr: 8.0627e-06 eta: 1 day, 2:56:46 time: 2.0504 data_time: 0.1107 memory: 11620 grad_norm: 0.7682 loss: 0.2304 instance_segmentation_loss_cls: 0.0391 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1746 2024/08/16 11:11:52 - mmengine - INFO - Iter(train) [ 72750/120000] base_lr: 6.8567e-05 lr: 8.0516e-06 eta: 1 day, 2:55:04 time: 2.0506 data_time: 0.1107 memory: 11582 grad_norm: 0.7676 loss: 0.2300 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_mask: 0.0166 instance_segmentation_loss_dice: 0.1743 2024/08/16 11:13:33 - mmengine - INFO - Iter(train) [ 72800/120000] base_lr: 6.8445e-05 lr: 8.0404e-06 eta: 1 day, 2:53:19 time: 2.0502 data_time: 0.1107 memory: 11707 grad_norm: 0.7681 loss: 0.2301 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_mask: 0.0166 instance_segmentation_loss_dice: 0.1745 2024/08/16 11:15:15 - mmengine - INFO - Iter(train) [ 72850/120000] base_lr: 6.8322e-05 lr: 8.0293e-06 eta: 1 day, 2:51:36 time: 2.0498 data_time: 0.1109 memory: 11898 grad_norm: 0.7678 loss: 0.2303 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1746 2024/08/16 11:16:57 - mmengine - INFO - Iter(train) [ 72900/120000] base_lr: 6.8200e-05 lr: 8.0182e-06 eta: 1 day, 2:49:53 time: 2.0498 data_time: 0.1110 memory: 11532 grad_norm: 0.7681 loss: 0.2298 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1742 2024/08/16 11:18:39 - mmengine - INFO - Iter(train) [ 72950/120000] base_lr: 6.8078e-05 lr: 8.0071e-06 eta: 1 day, 2:48:10 time: 2.0497 data_time: 0.1111 memory: 11637 grad_norm: 0.7678 loss: 0.2300 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1744 2024/08/16 11:20:22 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 11:20:22 - mmengine - INFO - Iter(train) [ 73000/120000] base_lr: 6.7956e-05 lr: 7.9960e-06 eta: 1 day, 2:46:28 time: 2.0499 data_time: 0.1112 memory: 11838 grad_norm: 0.7678 loss: 0.2302 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1746 2024/08/16 11:20:22 - mmengine - INFO - Saving checkpoint at 73000 iterations 2024/08/16 11:22:09 - mmengine - INFO - Iter(train) [ 73050/120000] base_lr: 6.7833e-05 lr: 7.9849e-06 eta: 1 day, 2:44:50 time: 2.0500 data_time: 0.1115 memory: 11596 grad_norm: 0.7677 loss: 0.2306 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1749 2024/08/16 11:23:51 - mmengine - INFO - Iter(train) [ 73100/120000] base_lr: 6.7711e-05 lr: 7.9738e-06 eta: 1 day, 2:43:06 time: 2.0500 data_time: 0.1117 memory: 11645 grad_norm: 0.7672 loss: 0.2306 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1748 2024/08/16 11:25:33 - mmengine - INFO - Iter(train) [ 73150/120000] base_lr: 6.7589e-05 lr: 7.9627e-06 eta: 1 day, 2:41:24 time: 2.0500 data_time: 0.1120 memory: 12238 grad_norm: 0.7675 loss: 0.2307 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1750 2024/08/16 11:27:15 - mmengine - INFO - Iter(train) [ 73200/120000] base_lr: 6.7467e-05 lr: 7.9516e-06 eta: 1 day, 2:39:40 time: 2.0499 data_time: 0.1119 memory: 11880 grad_norm: 0.7676 loss: 0.2307 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1751 2024/08/16 11:28:57 - mmengine - INFO - Iter(train) [ 73250/120000] base_lr: 6.7345e-05 lr: 7.9405e-06 eta: 1 day, 2:37:57 time: 2.0499 data_time: 0.1118 memory: 12069 grad_norm: 0.7673 loss: 0.2303 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1747 2024/08/16 11:30:38 - mmengine - INFO - Iter(train) [ 73300/120000] base_lr: 6.7224e-05 lr: 7.9294e-06 eta: 1 day, 2:36:13 time: 2.0498 data_time: 0.1119 memory: 12062 grad_norm: 0.7675 loss: 0.2305 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_mask: 0.0167 instance_segmentation_loss_dice: 0.1749 2024/08/16 11:32:21 - 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mmengine - INFO - Iter(train) [ 73750/120000] base_lr: 6.6130e-05 lr: 7.8300e-06 eta: 1 day, 2:20:46 time: 2.0503 data_time: 0.1126 memory: 11780 grad_norm: 0.7682 loss: 0.2295 instance_segmentation_loss_cls: 0.0390 instance_segmentation_loss_mask: 0.0166 instance_segmentation_loss_dice: 0.1739 2024/08/16 11:47:39 - mmengine - INFO - Iter(train) [ 73800/120000] base_lr: 6.6008e-05 lr: 7.8189e-06 eta: 1 day, 2:19:03 time: 2.0504 data_time: 0.1126 memory: 11660 grad_norm: 0.7674 loss: 0.2292 instance_segmentation_loss_cls: 0.0389 instance_segmentation_loss_mask: 0.0166 instance_segmentation_loss_dice: 0.1737 2024/08/16 11:49:21 - mmengine - INFO - Iter(train) [ 73850/120000] base_lr: 6.5887e-05 lr: 7.8079e-06 eta: 1 day, 2:17:20 time: 2.0501 data_time: 0.1126 memory: 11652 grad_norm: 0.7670 loss: 0.2289 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_mask: 0.0166 instance_segmentation_loss_dice: 0.1735 2024/08/16 11:51:03 - mmengine - INFO - Iter(train) [ 73900/120000] base_lr: 6.5766e-05 lr: 7.7969e-06 eta: 1 day, 2:15:38 time: 2.0501 data_time: 0.1129 memory: 12191 grad_norm: 0.7672 loss: 0.2291 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_mask: 0.0166 instance_segmentation_loss_dice: 0.1737 2024/08/16 11:52:46 - mmengine - INFO - Iter(train) [ 73950/120000] base_lr: 6.5645e-05 lr: 7.7859e-06 eta: 1 day, 2:13:55 time: 2.0502 data_time: 0.1131 memory: 12036 grad_norm: 0.7670 loss: 0.2296 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_mask: 0.0166 instance_segmentation_loss_dice: 0.1741 2024/08/16 11:54:29 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 11:54:29 - mmengine - INFO - Iter(train) [ 74000/120000] base_lr: 6.5524e-05 lr: 7.7749e-06 eta: 1 day, 2:12:13 time: 2.0503 data_time: 0.1132 memory: 11623 grad_norm: 0.7669 loss: 0.2297 instance_segmentation_loss_cls: 0.0388 instance_segmentation_loss_mask: 0.0166 instance_segmentation_loss_dice: 0.1743 2024/08/16 11:54:29 - mmengine - INFO - Saving checkpoint at 74000 iterations 2024/08/16 11:56:16 - mmengine - INFO - Iter(train) [ 74050/120000] base_lr: 6.5403e-05 lr: 7.7639e-06 eta: 1 day, 2:10:35 time: 2.0435 data_time: 0.1067 memory: 11920 grad_norm: 0.7671 loss: 0.2295 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_mask: 0.0166 instance_segmentation_loss_dice: 0.1742 2024/08/16 11:57:57 - mmengine - INFO - Iter(train) [ 74100/120000] base_lr: 6.5282e-05 lr: 7.7529e-06 eta: 1 day, 2:08:51 time: 2.0432 data_time: 0.1066 memory: 11580 grad_norm: 0.7666 loss: 0.2291 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_mask: 0.0165 instance_segmentation_loss_dice: 0.1739 2024/08/16 11:59:38 - mmengine - INFO - Iter(train) [ 74150/120000] base_lr: 6.5161e-05 lr: 7.7419e-06 eta: 1 day, 2:07:07 time: 2.0430 data_time: 0.1067 memory: 11633 grad_norm: 0.7666 loss: 0.2289 instance_segmentation_loss_cls: 0.0387 instance_segmentation_loss_mask: 0.0165 instance_segmentation_loss_dice: 0.1737 2024/08/16 12:01:20 - mmengine - INFO - Iter(train) [ 74200/120000] base_lr: 6.5041e-05 lr: 7.7310e-06 eta: 1 day, 2:05:24 time: 2.0431 data_time: 0.1068 memory: 11646 grad_norm: 0.7659 loss: 0.2283 instance_segmentation_loss_cls: 0.0386 instance_segmentation_loss_mask: 0.0165 instance_segmentation_loss_dice: 0.1732 2024/08/16 12:03:02 - mmengine - INFO - Iter(train) [ 74250/120000] base_lr: 6.4920e-05 lr: 7.7200e-06 eta: 1 day, 2:03:41 time: 2.0432 data_time: 0.1066 memory: 11649 grad_norm: 0.7658 loss: 0.2278 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_mask: 0.0165 instance_segmentation_loss_dice: 0.1728 2024/08/16 12:04:44 - mmengine - INFO - Iter(train) [ 74300/120000] base_lr: 6.4799e-05 lr: 7.7090e-06 eta: 1 day, 2:01:58 time: 2.0430 data_time: 0.1065 memory: 11701 grad_norm: 0.7653 loss: 0.2276 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_mask: 0.0165 instance_segmentation_loss_dice: 0.1726 2024/08/16 12:06:26 - mmengine - INFO - Iter(train) [ 74350/120000] base_lr: 6.4679e-05 lr: 7.6981e-06 eta: 1 day, 2:00:14 time: 2.0431 data_time: 0.1066 memory: 11779 grad_norm: 0.7651 loss: 0.2271 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_mask: 0.0164 instance_segmentation_loss_dice: 0.1722 2024/08/16 12:08:07 - mmengine - INFO - Iter(train) [ 74400/120000] base_lr: 6.4558e-05 lr: 7.6871e-06 eta: 1 day, 1:58:31 time: 2.0431 data_time: 0.1068 memory: 12065 grad_norm: 0.7652 loss: 0.2271 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_mask: 0.0164 instance_segmentation_loss_dice: 0.1722 2024/08/16 12:09:49 - mmengine - INFO - Iter(train) [ 74450/120000] base_lr: 6.4438e-05 lr: 7.6761e-06 eta: 1 day, 1:56:48 time: 2.0432 data_time: 0.1066 memory: 11952 grad_norm: 0.7654 loss: 0.2266 instance_segmentation_loss_cls: 0.0384 instance_segmentation_loss_mask: 0.0164 instance_segmentation_loss_dice: 0.1718 2024/08/16 12:11:31 - mmengine - INFO - Iter(train) [ 74500/120000] base_lr: 6.4317e-05 lr: 7.6652e-06 eta: 1 day, 1:55:04 time: 2.0432 data_time: 0.1068 memory: 11965 grad_norm: 0.7664 loss: 0.2267 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_mask: 0.0164 instance_segmentation_loss_dice: 0.1718 2024/08/16 12:13:13 - mmengine - INFO - Iter(train) [ 74550/120000] base_lr: 6.4197e-05 lr: 7.6543e-06 eta: 1 day, 1:53:21 time: 2.0434 data_time: 0.1068 memory: 11726 grad_norm: 0.7664 loss: 0.2267 instance_segmentation_loss_cls: 0.0385 instance_segmentation_loss_mask: 0.0164 instance_segmentation_loss_dice: 0.1718 2024/08/16 12:14:55 - mmengine - INFO - Iter(train) [ 74600/120000] base_lr: 6.4077e-05 lr: 7.6433e-06 eta: 1 day, 1:51:39 time: 2.0437 data_time: 0.1068 memory: 11809 grad_norm: 0.7663 loss: 0.2266 instance_segmentation_loss_cls: 0.0384 instance_segmentation_loss_mask: 0.0164 instance_segmentation_loss_dice: 0.1717 2024/08/16 12:16:37 - mmengine - INFO - Iter(train) [ 74650/120000] base_lr: 6.3956e-05 lr: 7.6324e-06 eta: 1 day, 1:49:56 time: 2.0437 data_time: 0.1066 memory: 11591 grad_norm: 0.7665 loss: 0.2262 instance_segmentation_loss_cls: 0.0383 instance_segmentation_loss_mask: 0.0164 instance_segmentation_loss_dice: 0.1715 2024/08/16 12:18:19 - mmengine - INFO - Iter(train) [ 74700/120000] base_lr: 6.3836e-05 lr: 7.6215e-06 eta: 1 day, 1:48:13 time: 2.0434 data_time: 0.1063 memory: 11532 grad_norm: 0.7664 loss: 0.2253 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_mask: 0.0164 instance_segmentation_loss_dice: 0.1707 2024/08/16 12:20:01 - mmengine - INFO - Iter(train) [ 74750/120000] base_lr: 6.3716e-05 lr: 7.6106e-06 eta: 1 day, 1:46:30 time: 2.0436 data_time: 0.1065 memory: 11598 grad_norm: 0.7661 loss: 0.2253 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_mask: 0.0163 instance_segmentation_loss_dice: 0.1708 2024/08/16 12:21:43 - mmengine - INFO - Iter(train) [ 74800/120000] base_lr: 6.3596e-05 lr: 7.5997e-06 eta: 1 day, 1:44:47 time: 2.0437 data_time: 0.1065 memory: 11658 grad_norm: 0.7666 loss: 0.2254 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_mask: 0.0163 instance_segmentation_loss_dice: 0.1709 2024/08/16 12:23:24 - mmengine - INFO - Iter(train) [ 74850/120000] base_lr: 6.3476e-05 lr: 7.5887e-06 eta: 1 day, 1:43:03 time: 2.0436 data_time: 0.1066 memory: 11961 grad_norm: 0.7663 loss: 0.2250 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_mask: 0.0163 instance_segmentation_loss_dice: 0.1706 2024/08/16 12:25:06 - mmengine - INFO - Iter(train) [ 74900/120000] base_lr: 6.3356e-05 lr: 7.5778e-06 eta: 1 day, 1:41:20 time: 2.0435 data_time: 0.1069 memory: 11832 grad_norm: 0.7661 loss: 0.2252 instance_segmentation_loss_cls: 0.0382 instance_segmentation_loss_mask: 0.0162 instance_segmentation_loss_dice: 0.1708 2024/08/16 12:26:48 - mmengine - INFO - Iter(train) [ 74950/120000] base_lr: 6.3236e-05 lr: 7.5670e-06 eta: 1 day, 1:39:36 time: 2.0435 data_time: 0.1069 memory: 11553 grad_norm: 0.7665 loss: 0.2245 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_mask: 0.0162 instance_segmentation_loss_dice: 0.1702 2024/08/16 12:28:30 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 12:28:30 - mmengine - INFO - Iter(train) [ 75000/120000] base_lr: 6.3117e-05 lr: 7.5561e-06 eta: 1 day, 1:37:54 time: 2.0435 data_time: 0.1070 memory: 11613 grad_norm: 0.7665 loss: 0.2243 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0162 instance_segmentation_loss_dice: 0.1700 2024/08/16 12:28:30 - mmengine - INFO - Saving checkpoint at 75000 iterations 2024/08/16 12:28:58 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:21 time: 0.4495 data_time: 0.0178 memory: 5705 2024/08/16 12:29:21 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:58 time: 0.4497 data_time: 0.0178 memory: 5705 2024/08/16 12:29:43 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:34 time: 0.4497 data_time: 0.0178 memory: 5705 2024/08/16 12:30:06 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:12 time: 0.4498 data_time: 0.0179 memory: 5705 2024/08/16 12:30:28 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:49 time: 0.4497 data_time: 0.0179 memory: 5705 2024/08/16 12:30:51 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:27 time: 0.4497 data_time: 0.0178 memory: 5705 2024/08/16 12:31:14 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:04 time: 0.4496 data_time: 0.0178 memory: 5705 2024/08/16 12:31:36 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:41 time: 0.4497 data_time: 0.0178 memory: 5705 2024/08/16 12:31:59 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:19 time: 0.4497 data_time: 0.0177 memory: 5705 2024/08/16 12:32:21 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:56 time: 0.4496 data_time: 0.0177 memory: 5705 2024/08/16 12:32:44 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:33 time: 0.4497 data_time: 0.0176 memory: 5705 2024/08/16 12:33:07 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.4497 data_time: 0.0177 memory: 5705 2024/08/16 12:33:24 - mmengine - INFO - Evaluating segm... 2024/08/16 12:33:49 - mmengine - INFO - segm_mAP_copypaste: 0.399 0.604 0.433 0.199 0.448 0.596 2024/08/16 12:33:50 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.3990 coco/segm_mAP_50: 0.6040 coco/segm_mAP_75: 0.4330 coco/segm_mAP_s: 0.1990 coco/segm_mAP_m: 0.4480 coco/segm_mAP_l: 0.5960 data_time: 0.0181 time: 0.4522 2024/08/16 12:35:33 - mmengine - INFO - Iter(train) [ 75050/120000] base_lr: 6.2997e-05 lr: 7.5452e-06 eta: 1 day, 1:36:40 time: 2.0505 data_time: 0.1142 memory: 12515 grad_norm: 0.7661 loss: 0.2246 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_mask: 0.0162 instance_segmentation_loss_dice: 0.1703 2024/08/16 12:37:16 - mmengine - INFO - Iter(train) [ 75100/120000] base_lr: 6.2877e-05 lr: 7.5343e-06 eta: 1 day, 1:34:58 time: 2.0510 data_time: 0.1142 memory: 11559 grad_norm: 0.7657 loss: 0.2243 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1701 2024/08/16 12:38:59 - mmengine - INFO - Iter(train) [ 75150/120000] base_lr: 6.2758e-05 lr: 7.5234e-06 eta: 1 day, 1:33:16 time: 2.0508 data_time: 0.1143 memory: 11722 grad_norm: 0.7655 loss: 0.2243 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0162 instance_segmentation_loss_dice: 0.1702 2024/08/16 12:40:40 - mmengine - INFO - Iter(train) [ 75200/120000] base_lr: 6.2638e-05 lr: 7.5126e-06 eta: 1 day, 1:31:32 time: 2.0505 data_time: 0.1142 memory: 11750 grad_norm: 0.7646 loss: 0.2241 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1700 2024/08/16 12:42:22 - mmengine - INFO - Iter(train) [ 75250/120000] base_lr: 6.2519e-05 lr: 7.5017e-06 eta: 1 day, 1:29:49 time: 2.0508 data_time: 0.1143 memory: 11779 grad_norm: 0.7642 loss: 0.2242 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1701 2024/08/16 12:44:04 - mmengine - INFO - Iter(train) [ 75300/120000] base_lr: 6.2400e-05 lr: 7.4909e-06 eta: 1 day, 1:28:06 time: 2.0506 data_time: 0.1145 memory: 11572 grad_norm: 0.7635 loss: 0.2242 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1702 2024/08/16 12:45:47 - mmengine - INFO - Iter(train) [ 75350/120000] base_lr: 6.2280e-05 lr: 7.4800e-06 eta: 1 day, 1:26:24 time: 2.0509 data_time: 0.1146 memory: 12024 grad_norm: 0.7636 loss: 0.2241 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1701 2024/08/16 12:47:29 - mmengine - INFO - Iter(train) [ 75400/120000] base_lr: 6.2161e-05 lr: 7.4692e-06 eta: 1 day, 1:24:41 time: 2.0512 data_time: 0.1146 memory: 11740 grad_norm: 0.7632 loss: 0.2238 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1698 2024/08/16 12:49:12 - mmengine - INFO - Iter(train) [ 75450/120000] base_lr: 6.2042e-05 lr: 7.4583e-06 eta: 1 day, 1:22:58 time: 2.0515 data_time: 0.1146 memory: 12047 grad_norm: 0.7636 loss: 0.2240 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1699 2024/08/16 12:50:54 - mmengine - INFO - Iter(train) [ 75500/120000] base_lr: 6.1923e-05 lr: 7.4475e-06 eta: 1 day, 1:21:15 time: 2.0514 data_time: 0.1147 memory: 11620 grad_norm: 0.7635 loss: 0.2244 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1703 2024/08/16 12:52:36 - mmengine - INFO - Iter(train) [ 75550/120000] base_lr: 6.1804e-05 lr: 7.4367e-06 eta: 1 day, 1:19:32 time: 2.0513 data_time: 0.1146 memory: 11536 grad_norm: 0.7636 loss: 0.2243 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1701 2024/08/16 12:54:17 - mmengine - INFO - Iter(train) [ 75600/120000] base_lr: 6.1685e-05 lr: 7.4259e-06 eta: 1 day, 1:17:49 time: 2.0512 data_time: 0.1148 memory: 11936 grad_norm: 0.7631 loss: 0.2244 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1702 2024/08/16 12:55:59 - mmengine - INFO - Iter(train) [ 75650/120000] base_lr: 6.1566e-05 lr: 7.4151e-06 eta: 1 day, 1:16:05 time: 2.0512 data_time: 0.1148 memory: 11660 grad_norm: 0.7635 loss: 0.2248 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1706 2024/08/16 12:57:40 - mmengine - INFO - Iter(train) [ 75700/120000] base_lr: 6.1447e-05 lr: 7.4043e-06 eta: 1 day, 1:14:22 time: 2.0511 data_time: 0.1146 memory: 11886 grad_norm: 0.7636 loss: 0.2241 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1700 2024/08/16 12:59:23 - mmengine - INFO - Iter(train) [ 75750/120000] base_lr: 6.1328e-05 lr: 7.3935e-06 eta: 1 day, 1:12:39 time: 2.0514 data_time: 0.1147 memory: 11944 grad_norm: 0.7626 loss: 0.2241 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1701 2024/08/16 13:01:05 - mmengine - INFO - Iter(train) [ 75800/120000] base_lr: 6.1210e-05 lr: 7.3827e-06 eta: 1 day, 1:10:56 time: 2.0513 data_time: 0.1145 memory: 11912 grad_norm: 0.7622 loss: 0.2239 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1699 2024/08/16 13:02:48 - mmengine - INFO - Iter(train) [ 75850/120000] base_lr: 6.1091e-05 lr: 7.3719e-06 eta: 1 day, 1:09:14 time: 2.0517 data_time: 0.1144 memory: 11536 grad_norm: 0.7618 loss: 0.2235 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1696 2024/08/16 13:04:30 - mmengine - INFO - Iter(train) [ 75900/120000] base_lr: 6.0972e-05 lr: 7.3611e-06 eta: 1 day, 1:07:31 time: 2.0517 data_time: 0.1146 memory: 12116 grad_norm: 0.7621 loss: 0.2237 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1698 2024/08/16 13:06:12 - mmengine - INFO - Iter(train) [ 75950/120000] base_lr: 6.0854e-05 lr: 7.3504e-06 eta: 1 day, 1:05:48 time: 2.0520 data_time: 0.1150 memory: 12015 grad_norm: 0.7621 loss: 0.2242 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1701 2024/08/16 13:07:55 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 13:07:55 - mmengine - INFO - Iter(train) [ 76000/120000] base_lr: 6.0735e-05 lr: 7.3396e-06 eta: 1 day, 1:04:05 time: 2.0521 data_time: 0.1147 memory: 11603 grad_norm: 0.7622 loss: 0.2234 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1695 2024/08/16 13:07:55 - mmengine - INFO - Saving checkpoint at 76000 iterations 2024/08/16 13:09:42 - mmengine - INFO - Iter(train) [ 76050/120000] base_lr: 6.0617e-05 lr: 7.3288e-06 eta: 1 day, 1:02:27 time: 2.0522 data_time: 0.1146 memory: 11881 grad_norm: 0.7616 loss: 0.2234 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1694 2024/08/16 13:11:24 - mmengine - INFO - Iter(train) [ 76100/120000] base_lr: 6.0499e-05 lr: 7.3181e-06 eta: 1 day, 1:00:44 time: 2.0523 data_time: 0.1148 memory: 11845 grad_norm: 0.7620 loss: 0.2240 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1699 2024/08/16 13:13:06 - mmengine - INFO - Iter(train) [ 76150/120000] base_lr: 6.0381e-05 lr: 7.3073e-06 eta: 1 day, 0:59:01 time: 2.0523 data_time: 0.1151 memory: 11739 grad_norm: 0.7627 loss: 0.2241 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1701 2024/08/16 13:14:49 - mmengine - INFO - Iter(train) [ 76200/120000] base_lr: 6.0262e-05 lr: 7.2966e-06 eta: 1 day, 0:57:18 time: 2.0523 data_time: 0.1153 memory: 11597 grad_norm: 0.7630 loss: 0.2242 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1700 2024/08/16 13:16:31 - mmengine - INFO - Iter(train) [ 76250/120000] base_lr: 6.0144e-05 lr: 7.2859e-06 eta: 1 day, 0:55:35 time: 2.0522 data_time: 0.1154 memory: 11776 grad_norm: 0.7623 loss: 0.2242 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_mask: 0.0161 instance_segmentation_loss_dice: 0.1701 2024/08/16 13:18:12 - mmengine - INFO - Iter(train) [ 76300/120000] base_lr: 6.0026e-05 lr: 7.2751e-06 eta: 1 day, 0:53:52 time: 2.0521 data_time: 0.1154 memory: 11776 grad_norm: 0.7618 loss: 0.2238 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1698 2024/08/16 13:19:55 - mmengine - INFO - Iter(train) [ 76350/120000] base_lr: 5.9908e-05 lr: 7.2644e-06 eta: 1 day, 0:52:10 time: 2.0522 data_time: 0.1154 memory: 11943 grad_norm: 0.7613 loss: 0.2232 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1694 2024/08/16 13:21:37 - mmengine - INFO - Iter(train) [ 76400/120000] base_lr: 5.9791e-05 lr: 7.2537e-06 eta: 1 day, 0:50:27 time: 2.0524 data_time: 0.1154 memory: 12138 grad_norm: 0.7624 loss: 0.2232 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1693 2024/08/16 13:23:20 - mmengine - INFO - Iter(train) [ 76450/120000] base_lr: 5.9673e-05 lr: 7.2430e-06 eta: 1 day, 0:48:45 time: 2.0527 data_time: 0.1152 memory: 11536 grad_norm: 0.7630 loss: 0.2229 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1690 2024/08/16 13:25:02 - mmengine - INFO - Iter(train) [ 76500/120000] base_lr: 5.9555e-05 lr: 7.2323e-06 eta: 1 day, 0:47:01 time: 2.0527 data_time: 0.1150 memory: 11572 grad_norm: 0.7637 loss: 0.2223 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1686 2024/08/16 13:26:44 - mmengine - INFO - Iter(train) [ 76550/120000] base_lr: 5.9437e-05 lr: 7.2216e-06 eta: 1 day, 0:45:19 time: 2.0530 data_time: 0.1149 memory: 11657 grad_norm: 0.7635 loss: 0.2219 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1682 2024/08/16 13:28:27 - mmengine - INFO - Iter(train) [ 76600/120000] base_lr: 5.9320e-05 lr: 7.2109e-06 eta: 1 day, 0:43:36 time: 2.0530 data_time: 0.1150 memory: 11884 grad_norm: 0.7639 loss: 0.2219 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1682 2024/08/16 13:30:10 - mmengine - INFO - Iter(train) [ 76650/120000] base_lr: 5.9202e-05 lr: 7.2002e-06 eta: 1 day, 0:41:54 time: 2.0534 data_time: 0.1151 memory: 11771 grad_norm: 0.7640 loss: 0.2218 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1681 2024/08/16 13:31:53 - mmengine - INFO - Iter(train) [ 76700/120000] base_lr: 5.9085e-05 lr: 7.1895e-06 eta: 1 day, 0:40:12 time: 2.0536 data_time: 0.1151 memory: 12151 grad_norm: 0.7639 loss: 0.2222 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1683 2024/08/16 13:33:35 - mmengine - INFO - Iter(train) [ 76750/120000] base_lr: 5.8967e-05 lr: 7.1789e-06 eta: 1 day, 0:38:29 time: 2.0535 data_time: 0.1152 memory: 11900 grad_norm: 0.7643 loss: 0.2223 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1685 2024/08/16 13:35:18 - mmengine - INFO - Iter(train) [ 76800/120000] base_lr: 5.8850e-05 lr: 7.1682e-06 eta: 1 day, 0:36:47 time: 2.0540 data_time: 0.1153 memory: 12012 grad_norm: 0.7641 loss: 0.2227 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1688 2024/08/16 13:37:01 - mmengine - INFO - Iter(train) [ 76850/120000] base_lr: 5.8733e-05 lr: 7.1575e-06 eta: 1 day, 0:35:04 time: 2.0542 data_time: 0.1155 memory: 11987 grad_norm: 0.7639 loss: 0.2229 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1689 2024/08/16 13:38:43 - mmengine - INFO - Iter(train) [ 76900/120000] base_lr: 5.8616e-05 lr: 7.1469e-06 eta: 1 day, 0:33:22 time: 2.0543 data_time: 0.1156 memory: 11922 grad_norm: 0.7634 loss: 0.2234 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1693 2024/08/16 13:40:25 - mmengine - INFO - Iter(train) [ 76950/120000] base_lr: 5.8499e-05 lr: 7.1362e-06 eta: 1 day, 0:31:38 time: 2.0542 data_time: 0.1156 memory: 11775 grad_norm: 0.7641 loss: 0.2231 instance_segmentation_loss_cls: 0.0381 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1690 2024/08/16 13:42:07 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 13:42:07 - mmengine - INFO - Iter(train) [ 77000/120000] base_lr: 5.8382e-05 lr: 7.1256e-06 eta: 1 day, 0:29:56 time: 2.0541 data_time: 0.1154 memory: 11816 grad_norm: 0.7645 loss: 0.2227 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1687 2024/08/16 13:42:07 - mmengine - INFO - Saving checkpoint at 77000 iterations 2024/08/16 13:43:55 - mmengine - INFO - Iter(train) [ 77050/120000] base_lr: 5.8265e-05 lr: 7.1150e-06 eta: 1 day, 0:28:17 time: 2.0542 data_time: 0.1153 memory: 11828 grad_norm: 0.7644 loss: 0.2224 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1684 2024/08/16 13:45:37 - mmengine - INFO - Iter(train) [ 77100/120000] base_lr: 5.8148e-05 lr: 7.1044e-06 eta: 1 day, 0:26:34 time: 2.0544 data_time: 0.1154 memory: 11909 grad_norm: 0.7645 loss: 0.2229 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1689 2024/08/16 13:47:19 - mmengine - INFO - Iter(train) [ 77150/120000] base_lr: 5.8031e-05 lr: 7.0937e-06 eta: 1 day, 0:24:51 time: 2.0542 data_time: 0.1152 memory: 11593 grad_norm: 0.7638 loss: 0.2225 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1685 2024/08/16 13:49:00 - mmengine - INFO - Iter(train) [ 77200/120000] base_lr: 5.7914e-05 lr: 7.0831e-06 eta: 1 day, 0:23:08 time: 2.0542 data_time: 0.1153 memory: 11760 grad_norm: 0.7642 loss: 0.2225 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1684 2024/08/16 13:50:43 - mmengine - INFO - Iter(train) [ 77250/120000] base_lr: 5.7798e-05 lr: 7.0725e-06 eta: 1 day, 0:21:25 time: 2.0544 data_time: 0.1153 memory: 11692 grad_norm: 0.7632 loss: 0.2224 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1684 2024/08/16 13:52:25 - mmengine - INFO - Iter(train) [ 77300/120000] base_lr: 5.7681e-05 lr: 7.0619e-06 eta: 1 day, 0:19:42 time: 2.0545 data_time: 0.1151 memory: 12123 grad_norm: 0.7638 loss: 0.2221 instance_segmentation_loss_cls: 0.0380 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1682 2024/08/16 13:54:07 - mmengine - INFO - Iter(train) [ 77350/120000] base_lr: 5.7565e-05 lr: 7.0513e-06 eta: 1 day, 0:17:59 time: 2.0545 data_time: 0.1151 memory: 11896 grad_norm: 0.7638 loss: 0.2224 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1685 2024/08/16 13:55:50 - mmengine - INFO - Iter(train) [ 77400/120000] base_lr: 5.7448e-05 lr: 7.0408e-06 eta: 1 day, 0:16:17 time: 2.0548 data_time: 0.1152 memory: 11776 grad_norm: 0.7638 loss: 0.2221 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1683 2024/08/16 13:57:32 - mmengine - INFO - Iter(train) [ 77450/120000] base_lr: 5.7332e-05 lr: 7.0302e-06 eta: 1 day, 0:14:34 time: 2.0549 data_time: 0.1150 memory: 12073 grad_norm: 0.7634 loss: 0.2221 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1683 2024/08/16 13:59:15 - mmengine - INFO - Iter(train) [ 77500/120000] base_lr: 5.7216e-05 lr: 7.0196e-06 eta: 1 day, 0:12:52 time: 2.0550 data_time: 0.1152 memory: 11782 grad_norm: 0.7627 loss: 0.2225 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1686 2024/08/16 14:00:57 - mmengine - INFO - Iter(train) [ 77550/120000] base_lr: 5.7100e-05 lr: 7.0091e-06 eta: 1 day, 0:11:09 time: 2.0551 data_time: 0.1154 memory: 11630 grad_norm: 0.7628 loss: 0.2226 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1688 2024/08/16 14:02:39 - mmengine - INFO - Iter(train) [ 77600/120000] base_lr: 5.6983e-05 lr: 6.9985e-06 eta: 1 day, 0:09:25 time: 2.0549 data_time: 0.1152 memory: 11663 grad_norm: 0.7622 loss: 0.2225 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1687 2024/08/16 14:04:21 - mmengine - INFO - Iter(train) [ 77650/120000] base_lr: 5.6867e-05 lr: 6.9879e-06 eta: 1 day, 0:07:43 time: 2.0550 data_time: 0.1151 memory: 11627 grad_norm: 0.7622 loss: 0.2222 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1684 2024/08/16 14:06:04 - mmengine - INFO - Iter(train) [ 77700/120000] base_lr: 5.6751e-05 lr: 6.9774e-06 eta: 1 day, 0:06:01 time: 2.0552 data_time: 0.1153 memory: 11898 grad_norm: 0.7619 loss: 0.2224 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1686 2024/08/16 14:07:45 - mmengine - INFO - Iter(train) [ 77750/120000] base_lr: 5.6636e-05 lr: 6.9669e-06 eta: 1 day, 0:04:17 time: 2.0551 data_time: 0.1152 memory: 11601 grad_norm: 0.7624 loss: 0.2221 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1684 2024/08/16 14:09:27 - mmengine - INFO - Iter(train) [ 77800/120000] base_lr: 5.6520e-05 lr: 6.9563e-06 eta: 1 day, 0:02:34 time: 2.0549 data_time: 0.1151 memory: 11679 grad_norm: 0.7630 loss: 0.2222 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1684 2024/08/16 14:11:09 - mmengine - INFO - Iter(train) [ 77850/120000] base_lr: 5.6404e-05 lr: 6.9458e-06 eta: 1 day, 0:00:51 time: 2.0548 data_time: 0.1150 memory: 11914 grad_norm: 0.7633 loss: 0.2223 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1685 2024/08/16 14:12:51 - mmengine - INFO - Iter(train) [ 77900/120000] base_lr: 5.6288e-05 lr: 6.9353e-06 eta: 23:59:08 time: 2.0548 data_time: 0.1148 memory: 11574 grad_norm: 0.7633 loss: 0.2217 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1680 2024/08/16 14:14:33 - mmengine - INFO - Iter(train) [ 77950/120000] base_lr: 5.6173e-05 lr: 6.9248e-06 eta: 23:57:25 time: 2.0547 data_time: 0.1147 memory: 11985 grad_norm: 0.7636 loss: 0.2214 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1677 2024/08/16 14:16:15 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 14:16:15 - mmengine - INFO - Iter(train) [ 78000/120000] base_lr: 5.6057e-05 lr: 6.9143e-06 eta: 23:55:42 time: 2.0545 data_time: 0.1148 memory: 11653 grad_norm: 0.7639 loss: 0.2214 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1677 2024/08/16 14:16:15 - mmengine - INFO - Saving checkpoint at 78000 iterations 2024/08/16 14:18:03 - mmengine - INFO - Iter(train) [ 78050/120000] base_lr: 5.5942e-05 lr: 6.9038e-06 eta: 23:54:03 time: 2.0545 data_time: 0.1147 memory: 12089 grad_norm: 0.7635 loss: 0.2215 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1676 2024/08/16 14:19:45 - mmengine - INFO - Iter(train) [ 78100/120000] base_lr: 5.5826e-05 lr: 6.8933e-06 eta: 23:52:20 time: 2.0548 data_time: 0.1148 memory: 12137 grad_norm: 0.7634 loss: 0.2218 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1680 2024/08/16 14:21:28 - mmengine - INFO - Iter(train) [ 78150/120000] base_lr: 5.5711e-05 lr: 6.8828e-06 eta: 23:50:38 time: 2.0553 data_time: 0.1148 memory: 11702 grad_norm: 0.7636 loss: 0.2217 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1679 2024/08/16 14:23:10 - mmengine - INFO - Iter(train) [ 78200/120000] base_lr: 5.5596e-05 lr: 6.8724e-06 eta: 23:48:55 time: 2.0553 data_time: 0.1148 memory: 11772 grad_norm: 0.7647 loss: 0.2221 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1682 2024/08/16 14:24:52 - mmengine - INFO - Iter(train) [ 78250/120000] base_lr: 5.5481e-05 lr: 6.8619e-06 eta: 23:47:12 time: 2.0553 data_time: 0.1149 memory: 11764 grad_norm: 0.7646 loss: 0.2222 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1683 2024/08/16 14:26:34 - mmengine - INFO - Iter(train) [ 78300/120000] base_lr: 5.5366e-05 lr: 6.8514e-06 eta: 23:45:30 time: 2.0555 data_time: 0.1151 memory: 11743 grad_norm: 0.7647 loss: 0.2228 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1688 2024/08/16 14:28:17 - mmengine - INFO - Iter(train) [ 78350/120000] base_lr: 5.5251e-05 lr: 6.8410e-06 eta: 23:43:47 time: 2.0558 data_time: 0.1150 memory: 11610 grad_norm: 0.7647 loss: 0.2230 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1690 2024/08/16 14:30:00 - mmengine - INFO - Iter(train) [ 78400/120000] base_lr: 5.5136e-05 lr: 6.8305e-06 eta: 23:42:05 time: 2.0560 data_time: 0.1150 memory: 11871 grad_norm: 0.7648 loss: 0.2231 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1692 2024/08/16 14:31:43 - mmengine - INFO - Iter(train) [ 78450/120000] base_lr: 5.5021e-05 lr: 6.8201e-06 eta: 23:40:22 time: 2.0562 data_time: 0.1151 memory: 11689 grad_norm: 0.7653 loss: 0.2232 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1693 2024/08/16 14:33:25 - 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mmengine - INFO - Saving checkpoint at 79000 iterations 2024/08/16 14:52:15 - mmengine - INFO - Iter(train) [ 79050/120000] base_lr: 5.3650e-05 lr: 6.6954e-06 eta: 23:19:53 time: 2.0504 data_time: 0.1086 memory: 12153 grad_norm: 0.7653 loss: 0.2230 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1692 2024/08/16 14:53:57 - mmengine - INFO - Iter(train) [ 79100/120000] base_lr: 5.3536e-05 lr: 6.6851e-06 eta: 23:18:10 time: 2.0501 data_time: 0.1086 memory: 11746 grad_norm: 0.7662 loss: 0.2228 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1690 2024/08/16 14:55:40 - mmengine - INFO - Iter(train) [ 79150/120000] base_lr: 5.3422e-05 lr: 6.6748e-06 eta: 23:16:27 time: 2.0500 data_time: 0.1085 memory: 12209 grad_norm: 0.7666 loss: 0.2227 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1689 2024/08/16 14:57:21 - mmengine - INFO - Iter(train) [ 79200/120000] base_lr: 5.3309e-05 lr: 6.6644e-06 eta: 23:14:44 time: 2.0501 data_time: 0.1084 memory: 11559 grad_norm: 0.7674 loss: 0.2227 instance_segmentation_loss_cls: 0.0379 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1688 2024/08/16 14:59:04 - mmengine - INFO - Iter(train) [ 79250/120000] base_lr: 5.3195e-05 lr: 6.6541e-06 eta: 23:13:02 time: 2.0502 data_time: 0.1082 memory: 11694 grad_norm: 0.7684 loss: 0.2223 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1685 2024/08/16 15:00:46 - mmengine - INFO - Iter(train) [ 79300/120000] base_lr: 5.3082e-05 lr: 6.6438e-06 eta: 23:11:19 time: 2.0503 data_time: 0.1081 memory: 11944 grad_norm: 0.7683 loss: 0.2221 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0160 instance_segmentation_loss_dice: 0.1683 2024/08/16 15:02:28 - mmengine - INFO - Iter(train) [ 79350/120000] base_lr: 5.2968e-05 lr: 6.6335e-06 eta: 23:09:36 time: 2.0501 data_time: 0.1080 memory: 11716 grad_norm: 0.7684 loss: 0.2221 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1684 2024/08/16 15:04:10 - mmengine - INFO - Iter(train) [ 79400/120000] base_lr: 5.2855e-05 lr: 6.6232e-06 eta: 23:07:53 time: 2.0500 data_time: 0.1080 memory: 11626 grad_norm: 0.7684 loss: 0.2217 instance_segmentation_loss_cls: 0.0378 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1680 2024/08/16 15:05:53 - mmengine - INFO - Iter(train) [ 79450/120000] base_lr: 5.2742e-05 lr: 6.6129e-06 eta: 23:06:10 time: 2.0501 data_time: 0.1078 memory: 11880 grad_norm: 0.7683 loss: 0.2213 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1677 2024/08/16 15:07:35 - mmengine - INFO - Iter(train) [ 79500/120000] base_lr: 5.2629e-05 lr: 6.6026e-06 eta: 23:04:28 time: 2.0502 data_time: 0.1078 memory: 11903 grad_norm: 0.7681 loss: 0.2209 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1673 2024/08/16 15:09:18 - mmengine - INFO - Iter(train) [ 79550/120000] base_lr: 5.2516e-05 lr: 6.5923e-06 eta: 23:02:45 time: 2.0504 data_time: 0.1079 memory: 11672 grad_norm: 0.7683 loss: 0.2209 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1674 2024/08/16 15:11:00 - mmengine - INFO - Iter(train) [ 79600/120000] base_lr: 5.2403e-05 lr: 6.5821e-06 eta: 23:01:03 time: 2.0506 data_time: 0.1077 memory: 11941 grad_norm: 0.7686 loss: 0.2206 instance_segmentation_loss_cls: 0.0376 instance_segmentation_loss_mask: 0.0158 instance_segmentation_loss_dice: 0.1672 2024/08/16 15:12:43 - mmengine - INFO - Iter(train) [ 79650/120000] base_lr: 5.2290e-05 lr: 6.5718e-06 eta: 22:59:20 time: 2.0510 data_time: 0.1077 memory: 11767 grad_norm: 0.7683 loss: 0.2205 instance_segmentation_loss_cls: 0.0376 instance_segmentation_loss_mask: 0.0158 instance_segmentation_loss_dice: 0.1671 2024/08/16 15:14:26 - mmengine - INFO - Iter(train) [ 79700/120000] base_lr: 5.2177e-05 lr: 6.5616e-06 eta: 22:57:38 time: 2.0513 data_time: 0.1079 memory: 11724 grad_norm: 0.7679 loss: 0.2210 instance_segmentation_loss_cls: 0.0377 instance_segmentation_loss_mask: 0.0158 instance_segmentation_loss_dice: 0.1675 2024/08/16 15:16:07 - mmengine - INFO - Iter(train) [ 79750/120000] base_lr: 5.2064e-05 lr: 6.5513e-06 eta: 22:55:55 time: 2.0510 data_time: 0.1078 memory: 11842 grad_norm: 0.7683 loss: 0.2209 instance_segmentation_loss_cls: 0.0376 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1674 2024/08/16 15:17:49 - mmengine - INFO - Iter(train) [ 79800/120000] base_lr: 5.1952e-05 lr: 6.5411e-06 eta: 22:54:11 time: 2.0509 data_time: 0.1081 memory: 11926 grad_norm: 0.7685 loss: 0.2210 instance_segmentation_loss_cls: 0.0376 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1675 2024/08/16 15:19:32 - mmengine - INFO - Iter(train) [ 79850/120000] base_lr: 5.1839e-05 lr: 6.5308e-06 eta: 22:52:29 time: 2.0509 data_time: 0.1081 memory: 11679 grad_norm: 0.7686 loss: 0.2209 instance_segmentation_loss_cls: 0.0376 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1674 2024/08/16 15:21:14 - mmengine - INFO - Iter(train) [ 79900/120000] base_lr: 5.1727e-05 lr: 6.5206e-06 eta: 22:50:46 time: 2.0509 data_time: 0.1080 memory: 11604 grad_norm: 0.7682 loss: 0.2210 instance_segmentation_loss_cls: 0.0376 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1675 2024/08/16 15:22:57 - mmengine - INFO - Iter(train) [ 79950/120000] base_lr: 5.1615e-05 lr: 6.5104e-06 eta: 22:49:04 time: 2.0509 data_time: 0.1077 memory: 11970 grad_norm: 0.7685 loss: 0.2205 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1672 2024/08/16 15:24:40 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 15:24:40 - mmengine - INFO - Iter(train) [ 80000/120000] base_lr: 5.1502e-05 lr: 6.5002e-06 eta: 22:47:21 time: 2.0510 data_time: 0.1078 memory: 11640 grad_norm: 0.7684 loss: 0.2207 instance_segmentation_loss_cls: 0.0375 instance_segmentation_loss_mask: 0.0159 instance_segmentation_loss_dice: 0.1674 2024/08/16 15:24:40 - mmengine - INFO - Saving checkpoint at 80000 iterations 2024/08/16 15:25:08 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:21 time: 0.4498 data_time: 0.0179 memory: 5705 2024/08/16 15:25:30 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:57 time: 0.4500 data_time: 0.0179 memory: 5705 2024/08/16 15:25:52 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:33 time: 0.4499 data_time: 0.0179 memory: 5705 2024/08/16 15:26:15 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:11 time: 0.4500 data_time: 0.0180 memory: 5705 2024/08/16 15:26:37 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:48 time: 0.4500 data_time: 0.0180 memory: 5705 2024/08/16 15:27:00 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:26 time: 0.4499 data_time: 0.0179 memory: 5705 2024/08/16 15:27:22 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:03 time: 0.4499 data_time: 0.0178 memory: 5705 2024/08/16 15:27:45 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:41 time: 0.4499 data_time: 0.0178 memory: 5705 2024/08/16 15:28:06 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:18 time: 0.4497 data_time: 0.0177 memory: 5705 2024/08/16 15:28:29 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:55 time: 0.4496 data_time: 0.0177 memory: 5705 2024/08/16 15:28:51 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:33 time: 0.4496 data_time: 0.0177 memory: 5705 2024/08/16 15:29:14 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.4497 data_time: 0.0178 memory: 5705 2024/08/16 15:29:32 - mmengine - INFO - Evaluating segm... 2024/08/16 15:29:56 - mmengine - INFO - segm_mAP_copypaste: 0.401 0.608 0.437 0.202 0.451 0.605 2024/08/16 15:29:57 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.4010 coco/segm_mAP_50: 0.6080 coco/segm_mAP_75: 0.4370 coco/segm_mAP_s: 0.2020 coco/segm_mAP_m: 0.4510 coco/segm_mAP_l: 0.6050 data_time: 0.0175 time: 0.4490 2024/08/16 15:31:38 - mmengine - INFO - Iter(train) [ 80050/120000] base_lr: 5.1390e-05 lr: 6.4900e-06 eta: 22:46:01 time: 2.0574 data_time: 0.1141 memory: 11826 grad_norm: 0.7689 loss: 0.2200 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_mask: 0.0158 instance_segmentation_loss_dice: 0.1669 2024/08/16 15:33:20 - mmengine - INFO - Iter(train) [ 80100/120000] base_lr: 5.1278e-05 lr: 6.4798e-06 eta: 22:44:18 time: 2.0573 data_time: 0.1141 memory: 12050 grad_norm: 0.7685 loss: 0.2198 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_mask: 0.0158 instance_segmentation_loss_dice: 0.1666 2024/08/16 15:35:02 - mmengine - INFO - Iter(train) [ 80150/120000] base_lr: 5.1166e-05 lr: 6.4696e-06 eta: 22:42:35 time: 2.0574 data_time: 0.1139 memory: 11913 grad_norm: 0.7679 loss: 0.2198 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_mask: 0.0158 instance_segmentation_loss_dice: 0.1666 2024/08/16 15:36:45 - mmengine - INFO - Iter(train) [ 80200/120000] base_lr: 5.1054e-05 lr: 6.4595e-06 eta: 22:40:52 time: 2.0573 data_time: 0.1138 memory: 11792 grad_norm: 0.7677 loss: 0.2196 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_mask: 0.0158 instance_segmentation_loss_dice: 0.1665 2024/08/16 15:38:27 - mmengine - INFO - Iter(train) [ 80250/120000] base_lr: 5.0942e-05 lr: 6.4493e-06 eta: 22:39:09 time: 2.0573 data_time: 0.1137 memory: 11814 grad_norm: 0.7686 loss: 0.2193 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_mask: 0.0158 instance_segmentation_loss_dice: 0.1663 2024/08/16 15:40:09 - mmengine - INFO - Iter(train) [ 80300/120000] base_lr: 5.0830e-05 lr: 6.4391e-06 eta: 22:37:26 time: 2.0574 data_time: 0.1137 memory: 12362 grad_norm: 0.7691 loss: 0.2194 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_mask: 0.0158 instance_segmentation_loss_dice: 0.1662 2024/08/16 15:41:50 - mmengine - INFO - Iter(train) [ 80350/120000] base_lr: 5.0719e-05 lr: 6.4290e-06 eta: 22:35:42 time: 2.0570 data_time: 0.1136 memory: 11613 grad_norm: 0.7697 loss: 0.2191 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_mask: 0.0158 instance_segmentation_loss_dice: 0.1660 2024/08/16 15:43:31 - mmengine - INFO - Iter(train) [ 80400/120000] base_lr: 5.0607e-05 lr: 6.4188e-06 eta: 22:33:59 time: 2.0568 data_time: 0.1135 memory: 11661 grad_norm: 0.7683 loss: 0.2189 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_mask: 0.0158 instance_segmentation_loss_dice: 0.1659 2024/08/16 15:45:13 - mmengine - INFO - Iter(train) [ 80450/120000] base_lr: 5.0496e-05 lr: 6.4087e-06 eta: 22:32:15 time: 2.0565 data_time: 0.1137 memory: 11952 grad_norm: 0.7673 loss: 0.2193 instance_segmentation_loss_cls: 0.0373 instance_segmentation_loss_mask: 0.0158 instance_segmentation_loss_dice: 0.1663 2024/08/16 15:46:55 - mmengine - INFO - Iter(train) [ 80500/120000] base_lr: 5.0384e-05 lr: 6.3986e-06 eta: 22:30:32 time: 2.0566 data_time: 0.1137 memory: 11858 grad_norm: 0.7673 loss: 0.2191 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_mask: 0.0158 instance_segmentation_loss_dice: 0.1661 2024/08/16 15:48:37 - mmengine - INFO - Iter(train) [ 80550/120000] base_lr: 5.0273e-05 lr: 6.3884e-06 eta: 22:28:50 time: 2.0564 data_time: 0.1136 memory: 11728 grad_norm: 0.7672 loss: 0.2193 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_mask: 0.0157 instance_segmentation_loss_dice: 0.1664 2024/08/16 15:50:19 - mmengine - INFO - Iter(train) [ 80600/120000] base_lr: 5.0162e-05 lr: 6.3783e-06 eta: 22:27:07 time: 2.0564 data_time: 0.1135 memory: 11720 grad_norm: 0.7674 loss: 0.2188 instance_segmentation_loss_cls: 0.0372 instance_segmentation_loss_mask: 0.0157 instance_segmentation_loss_dice: 0.1660 2024/08/16 15:52:00 - mmengine - INFO - Iter(train) [ 80650/120000] base_lr: 5.0050e-05 lr: 6.3682e-06 eta: 22:25:23 time: 2.0559 data_time: 0.1134 memory: 11847 grad_norm: 0.7669 loss: 0.2191 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_mask: 0.0157 instance_segmentation_loss_dice: 0.1662 2024/08/16 15:53:42 - mmengine - INFO - Iter(train) [ 80700/120000] base_lr: 4.9939e-05 lr: 6.3581e-06 eta: 22:23:40 time: 2.0556 data_time: 0.1133 memory: 11723 grad_norm: 0.7677 loss: 0.2189 instance_segmentation_loss_cls: 0.0371 instance_segmentation_loss_mask: 0.0157 instance_segmentation_loss_dice: 0.1661 2024/08/16 15:55:24 - mmengine - INFO - Iter(train) [ 80750/120000] base_lr: 4.9828e-05 lr: 6.3480e-06 eta: 22:21:57 time: 2.0556 data_time: 0.1131 memory: 11698 grad_norm: 0.7675 loss: 0.2183 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_mask: 0.0157 instance_segmentation_loss_dice: 0.1656 2024/08/16 15:57:06 - mmengine - INFO - Iter(train) [ 80800/120000] base_lr: 4.9718e-05 lr: 6.3380e-06 eta: 22:20:14 time: 2.0554 data_time: 0.1130 memory: 11711 grad_norm: 0.7675 loss: 0.2182 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_mask: 0.0157 instance_segmentation_loss_dice: 0.1656 2024/08/16 15:58:48 - mmengine - INFO - Iter(train) [ 80850/120000] base_lr: 4.9607e-05 lr: 6.3279e-06 eta: 22:18:31 time: 2.0551 data_time: 0.1129 memory: 11586 grad_norm: 0.7673 loss: 0.2183 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_mask: 0.0157 instance_segmentation_loss_dice: 0.1656 2024/08/16 16:00:30 - mmengine - INFO - Iter(train) [ 80900/120000] base_lr: 4.9496e-05 lr: 6.3178e-06 eta: 22:16:48 time: 2.0550 data_time: 0.1129 memory: 11872 grad_norm: 0.7681 loss: 0.2185 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0157 instance_segmentation_loss_dice: 0.1659 2024/08/16 16:02:12 - mmengine - INFO - Iter(train) [ 80950/120000] base_lr: 4.9385e-05 lr: 6.3078e-06 eta: 22:15:05 time: 2.0551 data_time: 0.1126 memory: 11593 grad_norm: 0.7673 loss: 0.2180 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1655 2024/08/16 16:03:54 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 16:03:54 - mmengine - INFO - Iter(train) [ 81000/120000] base_lr: 4.9275e-05 lr: 6.2977e-06 eta: 22:13:22 time: 2.0550 data_time: 0.1127 memory: 11936 grad_norm: 0.7672 loss: 0.2180 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1655 2024/08/16 16:03:54 - mmengine - INFO - Saving checkpoint at 81000 iterations 2024/08/16 16:05:41 - mmengine - INFO - Iter(train) [ 81050/120000] base_lr: 4.9164e-05 lr: 6.2877e-06 eta: 22:11:42 time: 2.0548 data_time: 0.1124 memory: 11633 grad_norm: 0.7674 loss: 0.2177 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1653 2024/08/16 16:07:24 - mmengine - INFO - Iter(train) [ 81100/120000] base_lr: 4.9054e-05 lr: 6.2776e-06 eta: 22:10:00 time: 2.0550 data_time: 0.1121 memory: 11619 grad_norm: 0.7674 loss: 0.2170 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1646 2024/08/16 16:09:06 - mmengine - INFO - Iter(train) [ 81150/120000] base_lr: 4.8944e-05 lr: 6.2676e-06 eta: 22:08:18 time: 2.0553 data_time: 0.1122 memory: 11690 grad_norm: 0.7673 loss: 0.2173 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1649 2024/08/16 16:10:49 - mmengine - INFO - Iter(train) [ 81200/120000] base_lr: 4.8834e-05 lr: 6.2576e-06 eta: 22:06:35 time: 2.0555 data_time: 0.1121 memory: 11656 grad_norm: 0.7674 loss: 0.2171 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1648 2024/08/16 16:12:32 - mmengine - INFO - Iter(train) [ 81250/120000] base_lr: 4.8723e-05 lr: 6.2476e-06 eta: 22:04:53 time: 2.0555 data_time: 0.1121 memory: 11831 grad_norm: 0.7683 loss: 0.2174 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1650 2024/08/16 16:14:13 - mmengine - INFO - Iter(train) [ 81300/120000] base_lr: 4.8613e-05 lr: 6.2376e-06 eta: 22:03:09 time: 2.0553 data_time: 0.1123 memory: 12066 grad_norm: 0.7681 loss: 0.2175 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1651 2024/08/16 16:15:54 - mmengine - INFO - Iter(train) [ 81350/120000] base_lr: 4.8504e-05 lr: 6.2276e-06 eta: 22:01:26 time: 2.0551 data_time: 0.1123 memory: 12053 grad_norm: 0.7682 loss: 0.2172 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1648 2024/08/16 16:17:36 - mmengine - INFO - Iter(train) [ 81400/120000] base_lr: 4.8394e-05 lr: 6.2176e-06 eta: 21:59:43 time: 2.0550 data_time: 0.1123 memory: 11685 grad_norm: 0.7675 loss: 0.2172 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1648 2024/08/16 16:19:19 - mmengine - INFO - Iter(train) [ 81450/120000] base_lr: 4.8284e-05 lr: 6.2076e-06 eta: 21:58:00 time: 2.0550 data_time: 0.1123 memory: 11955 grad_norm: 0.7674 loss: 0.2171 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1647 2024/08/16 16:21:01 - mmengine - INFO - Iter(train) [ 81500/120000] base_lr: 4.8174e-05 lr: 6.1977e-06 eta: 21:56:17 time: 2.0548 data_time: 0.1122 memory: 11712 grad_norm: 0.7680 loss: 0.2169 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1646 2024/08/16 16:22:43 - 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mmengine - INFO - Iter(train) [ 82500/120000] base_lr: 4.6001e-05 lr: 6.0001e-06 eta: 21:21:59 time: 2.0527 data_time: 0.1123 memory: 11836 grad_norm: 0.7668 loss: 0.2172 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1649 2024/08/16 16:56:45 - mmengine - INFO - Iter(train) [ 82550/120000] base_lr: 4.5893e-05 lr: 5.9903e-06 eta: 21:20:17 time: 2.0527 data_time: 0.1125 memory: 11884 grad_norm: 0.7667 loss: 0.2176 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1652 2024/08/16 16:58:26 - mmengine - INFO - Iter(train) [ 82600/120000] base_lr: 4.5785e-05 lr: 5.9805e-06 eta: 21:18:34 time: 2.0526 data_time: 0.1126 memory: 11607 grad_norm: 0.7668 loss: 0.2174 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1650 2024/08/16 17:00:09 - mmengine - INFO - Iter(train) [ 82650/120000] base_lr: 4.5678e-05 lr: 5.9707e-06 eta: 21:16:51 time: 2.0529 data_time: 0.1125 memory: 11599 grad_norm: 0.7678 loss: 0.2170 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1647 2024/08/16 17:01:51 - mmengine - INFO - Iter(train) [ 82700/120000] base_lr: 4.5570e-05 lr: 5.9609e-06 eta: 21:15:08 time: 2.0527 data_time: 0.1126 memory: 11956 grad_norm: 0.7685 loss: 0.2175 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1651 2024/08/16 17:03:34 - mmengine - INFO - Iter(train) [ 82750/120000] base_lr: 4.5463e-05 lr: 5.9512e-06 eta: 21:13:26 time: 2.0529 data_time: 0.1125 memory: 11679 grad_norm: 0.7678 loss: 0.2173 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1650 2024/08/16 17:05:16 - mmengine - INFO - Iter(train) [ 82800/120000] base_lr: 4.5356e-05 lr: 5.9414e-06 eta: 21:11:43 time: 2.0527 data_time: 0.1123 memory: 11535 grad_norm: 0.7685 loss: 0.2170 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1647 2024/08/16 17:06:58 - mmengine - INFO - Iter(train) [ 82850/120000] base_lr: 4.5249e-05 lr: 5.9317e-06 eta: 21:10:00 time: 2.0527 data_time: 0.1122 memory: 11858 grad_norm: 0.7691 loss: 0.2173 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1649 2024/08/16 17:08:40 - mmengine - INFO - Iter(train) [ 82900/120000] base_lr: 4.5142e-05 lr: 5.9220e-06 eta: 21:08:17 time: 2.0526 data_time: 0.1124 memory: 12208 grad_norm: 0.7688 loss: 0.2178 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1654 2024/08/16 17:10:23 - mmengine - INFO - Iter(train) [ 82950/120000] base_lr: 4.5035e-05 lr: 5.9123e-06 eta: 21:06:35 time: 2.0527 data_time: 0.1123 memory: 11946 grad_norm: 0.7681 loss: 0.2177 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1654 2024/08/16 17:12:05 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 17:12:05 - mmengine - INFO - Iter(train) [ 83000/120000] base_lr: 4.4928e-05 lr: 5.9025e-06 eta: 21:04:52 time: 2.0527 data_time: 0.1121 memory: 11573 grad_norm: 0.7674 loss: 0.2177 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1654 2024/08/16 17:12:05 - mmengine - INFO - Saving checkpoint at 83000 iterations 2024/08/16 17:13:53 - mmengine - INFO - Iter(train) [ 83050/120000] base_lr: 4.4821e-05 lr: 5.8928e-06 eta: 21:03:13 time: 2.0527 data_time: 0.1118 memory: 11625 grad_norm: 0.7673 loss: 0.2175 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1653 2024/08/16 17:15:34 - mmengine - INFO - Iter(train) [ 83100/120000] base_lr: 4.4715e-05 lr: 5.8831e-06 eta: 21:01:29 time: 2.0525 data_time: 0.1118 memory: 11696 grad_norm: 0.7674 loss: 0.2178 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1655 2024/08/16 17:17:17 - mmengine - INFO - Iter(train) [ 83150/120000] base_lr: 4.4608e-05 lr: 5.8734e-06 eta: 20:59:47 time: 2.0526 data_time: 0.1117 memory: 11535 grad_norm: 0.7670 loss: 0.2177 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1655 2024/08/16 17:18:59 - 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mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 17:46:11 - mmengine - INFO - Iter(train) [ 84000/120000] base_lr: 4.2811e-05 lr: 5.7101e-06 eta: 20:30:38 time: 2.0513 data_time: 0.1112 memory: 11817 grad_norm: 0.7670 loss: 0.2196 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1672 2024/08/16 17:46:11 - mmengine - INFO - Saving checkpoint at 84000 iterations 2024/08/16 17:47:59 - mmengine - INFO - Iter(train) [ 84050/120000] base_lr: 4.2707e-05 lr: 5.7006e-06 eta: 20:28:58 time: 2.0450 data_time: 0.1047 memory: 11928 grad_norm: 0.7666 loss: 0.2202 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1677 2024/08/16 17:49:42 - mmengine - INFO - Iter(train) [ 84100/120000] base_lr: 4.2602e-05 lr: 5.6911e-06 eta: 20:27:16 time: 2.0453 data_time: 0.1045 memory: 11535 grad_norm: 0.7669 loss: 0.2198 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1674 2024/08/16 17:51:23 - mmengine - INFO - Iter(train) [ 84150/120000] base_lr: 4.2497e-05 lr: 5.6816e-06 eta: 20:25:33 time: 2.0452 data_time: 0.1045 memory: 11655 grad_norm: 0.7669 loss: 0.2197 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1673 2024/08/16 17:53:05 - mmengine - INFO - Iter(train) [ 84200/120000] base_lr: 4.2393e-05 lr: 5.6721e-06 eta: 20:23:49 time: 2.0449 data_time: 0.1044 memory: 11575 grad_norm: 0.7668 loss: 0.2199 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1674 2024/08/16 17:54:47 - mmengine - INFO - Iter(train) [ 84250/120000] base_lr: 4.2288e-05 lr: 5.6626e-06 eta: 20:22:06 time: 2.0448 data_time: 0.1042 memory: 11558 grad_norm: 0.7662 loss: 0.2198 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1674 2024/08/16 17:56:28 - mmengine - INFO - Iter(train) [ 84300/120000] base_lr: 4.2184e-05 lr: 5.6531e-06 eta: 20:20:23 time: 2.0446 data_time: 0.1043 memory: 11700 grad_norm: 0.7658 loss: 0.2200 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1676 2024/08/16 17:58:10 - mmengine - INFO - Iter(train) [ 84350/120000] base_lr: 4.2080e-05 lr: 5.6436e-06 eta: 20:18:40 time: 2.0449 data_time: 0.1044 memory: 11967 grad_norm: 0.7654 loss: 0.2206 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1682 2024/08/16 17:59:52 - mmengine - INFO - Iter(train) [ 84400/120000] base_lr: 4.1976e-05 lr: 5.6342e-06 eta: 20:16:57 time: 2.0450 data_time: 0.1042 memory: 11581 grad_norm: 0.7657 loss: 0.2205 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1681 2024/08/16 18:01:34 - mmengine - INFO - Iter(train) [ 84450/120000] base_lr: 4.1872e-05 lr: 5.6247e-06 eta: 20:15:15 time: 2.0452 data_time: 0.1040 memory: 12226 grad_norm: 0.7660 loss: 0.2205 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1680 2024/08/16 18:03:16 - mmengine - INFO - Iter(train) [ 84500/120000] base_lr: 4.1768e-05 lr: 5.6153e-06 eta: 20:13:31 time: 2.0451 data_time: 0.1040 memory: 11936 grad_norm: 0.7656 loss: 0.2205 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1680 2024/08/16 18:04:58 - mmengine - INFO - Iter(train) [ 84550/120000] base_lr: 4.1664e-05 lr: 5.6058e-06 eta: 20:11:49 time: 2.0451 data_time: 0.1041 memory: 11807 grad_norm: 0.7656 loss: 0.2210 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1684 2024/08/16 18:06:41 - mmengine - INFO - Iter(train) [ 84600/120000] base_lr: 4.1560e-05 lr: 5.5964e-06 eta: 20:10:06 time: 2.0451 data_time: 0.1041 memory: 11780 grad_norm: 0.7655 loss: 0.2211 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1686 2024/08/16 18:08:23 - mmengine - INFO - Iter(train) [ 84650/120000] base_lr: 4.1457e-05 lr: 5.5870e-06 eta: 20:08:24 time: 2.0456 data_time: 0.1040 memory: 11553 grad_norm: 0.7658 loss: 0.2209 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1683 2024/08/16 18:10:05 - mmengine - INFO - Iter(train) [ 84700/120000] base_lr: 4.1353e-05 lr: 5.5776e-06 eta: 20:06:41 time: 2.0456 data_time: 0.1040 memory: 11535 grad_norm: 0.7655 loss: 0.2210 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1683 2024/08/16 18:11:47 - mmengine - INFO - Iter(train) [ 84750/120000] base_lr: 4.1250e-05 lr: 5.5682e-06 eta: 20:04:58 time: 2.0457 data_time: 0.1039 memory: 11646 grad_norm: 0.7658 loss: 0.2209 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1683 2024/08/16 18:13:29 - mmengine - INFO - Iter(train) [ 84800/120000] base_lr: 4.1147e-05 lr: 5.5588e-06 eta: 20:03:15 time: 2.0455 data_time: 0.1038 memory: 11602 grad_norm: 0.7662 loss: 0.2207 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1681 2024/08/16 18:15:10 - mmengine - INFO - Iter(train) [ 84850/120000] base_lr: 4.1044e-05 lr: 5.5494e-06 eta: 20:01:32 time: 2.0454 data_time: 0.1036 memory: 11821 grad_norm: 0.7666 loss: 0.2202 instance_segmentation_loss_cls: 0.0370 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1677 2024/08/16 18:16:52 - mmengine - INFO - Iter(train) [ 84900/120000] base_lr: 4.0941e-05 lr: 5.5400e-06 eta: 19:59:49 time: 2.0454 data_time: 0.1033 memory: 11706 grad_norm: 0.7662 loss: 0.2194 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1670 2024/08/16 18:18:34 - mmengine - INFO - Iter(train) [ 84950/120000] base_lr: 4.0838e-05 lr: 5.5307e-06 eta: 19:58:06 time: 2.0453 data_time: 0.1035 memory: 11664 grad_norm: 0.7666 loss: 0.2198 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1673 2024/08/16 18:20:17 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 18:20:17 - mmengine - INFO - Iter(train) [ 85000/120000] base_lr: 4.0735e-05 lr: 5.5213e-06 eta: 19:56:23 time: 2.0454 data_time: 0.1035 memory: 11795 grad_norm: 0.7661 loss: 0.2198 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1673 2024/08/16 18:20:17 - mmengine - INFO - Saving checkpoint at 85000 iterations 2024/08/16 18:20:44 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:21 time: 0.4497 data_time: 0.0179 memory: 5705 2024/08/16 18:21:07 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:57 time: 0.4499 data_time: 0.0179 memory: 5705 2024/08/16 18:21:29 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:33 time: 0.4498 data_time: 0.0179 memory: 5705 2024/08/16 18:21:51 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:11 time: 0.4497 data_time: 0.0179 memory: 5705 2024/08/16 18:22:14 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:48 time: 0.4497 data_time: 0.0180 memory: 5705 2024/08/16 18:22:36 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:26 time: 0.4497 data_time: 0.0179 memory: 5705 2024/08/16 18:22:59 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:03 time: 0.4497 data_time: 0.0179 memory: 5705 2024/08/16 18:23:21 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:41 time: 0.4497 data_time: 0.0179 memory: 5705 2024/08/16 18:23:43 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:18 time: 0.4495 data_time: 0.0178 memory: 5705 2024/08/16 18:24:05 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:55 time: 0.4494 data_time: 0.0178 memory: 5705 2024/08/16 18:24:28 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:33 time: 0.4494 data_time: 0.0177 memory: 5705 2024/08/16 18:24:51 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.4495 data_time: 0.0178 memory: 5705 2024/08/16 18:25:08 - mmengine - INFO - Evaluating segm... 2024/08/16 18:25:33 - mmengine - INFO - segm_mAP_copypaste: 0.404 0.610 0.440 0.202 0.454 0.611 2024/08/16 18:25:34 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.4040 coco/segm_mAP_50: 0.6100 coco/segm_mAP_75: 0.4400 coco/segm_mAP_s: 0.2020 coco/segm_mAP_m: 0.4540 coco/segm_mAP_l: 0.6110 data_time: 0.0180 time: 0.4487 2024/08/16 18:27:16 - mmengine - INFO - Iter(train) [ 85050/120000] base_lr: 4.0632e-05 lr: 5.5120e-06 eta: 19:54:59 time: 2.0524 data_time: 0.1102 memory: 11872 grad_norm: 0.7659 loss: 0.2199 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1674 2024/08/16 18:28:59 - mmengine - INFO - Iter(train) [ 85100/120000] base_lr: 4.0529e-05 lr: 5.5027e-06 eta: 19:53:17 time: 2.0523 data_time: 0.1100 memory: 11580 grad_norm: 0.7665 loss: 0.2198 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0156 instance_segmentation_loss_dice: 0.1673 2024/08/16 18:30:41 - mmengine - INFO - Iter(train) [ 85150/120000] base_lr: 4.0427e-05 lr: 5.4933e-06 eta: 19:51:34 time: 2.0523 data_time: 0.1100 memory: 11781 grad_norm: 0.7668 loss: 0.2199 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1675 2024/08/16 18:32:24 - mmengine - INFO - Iter(train) [ 85200/120000] base_lr: 4.0324e-05 lr: 5.4840e-06 eta: 19:49:52 time: 2.0523 data_time: 0.1102 memory: 11929 grad_norm: 0.7665 loss: 0.2205 instance_segmentation_loss_cls: 0.0369 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1681 2024/08/16 18:34:07 - mmengine - INFO - Iter(train) [ 85250/120000] base_lr: 4.0222e-05 lr: 5.4747e-06 eta: 19:48:09 time: 2.0523 data_time: 0.1101 memory: 11753 grad_norm: 0.7664 loss: 0.2205 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1681 2024/08/16 18:35:49 - mmengine - INFO - Iter(train) [ 85300/120000] base_lr: 4.0120e-05 lr: 5.4654e-06 eta: 19:46:26 time: 2.0526 data_time: 0.1100 memory: 11785 grad_norm: 0.7662 loss: 0.2203 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1679 2024/08/16 18:37:32 - mmengine - INFO - Iter(train) [ 85350/120000] base_lr: 4.0018e-05 lr: 5.4561e-06 eta: 19:44:44 time: 2.0529 data_time: 0.1099 memory: 11965 grad_norm: 0.7660 loss: 0.2202 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1679 2024/08/16 18:39:15 - mmengine - INFO - Iter(train) [ 85400/120000] base_lr: 3.9915e-05 lr: 5.4469e-06 eta: 19:43:01 time: 2.0532 data_time: 0.1097 memory: 11908 grad_norm: 0.7665 loss: 0.2202 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1678 2024/08/16 18:40:57 - mmengine - INFO - Iter(train) [ 85450/120000] base_lr: 3.9814e-05 lr: 5.4376e-06 eta: 19:41:19 time: 2.0531 data_time: 0.1092 memory: 11566 grad_norm: 0.7663 loss: 0.2192 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1671 2024/08/16 18:42:40 - mmengine - INFO - Iter(train) [ 85500/120000] base_lr: 3.9712e-05 lr: 5.4283e-06 eta: 19:39:36 time: 2.0532 data_time: 0.1091 memory: 11677 grad_norm: 0.7664 loss: 0.2194 instance_segmentation_loss_cls: 0.0368 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1672 2024/08/16 18:44:23 - mmengine - INFO - Iter(train) [ 85550/120000] base_lr: 3.9610e-05 lr: 5.4191e-06 eta: 19:37:54 time: 2.0533 data_time: 0.1090 memory: 12052 grad_norm: 0.7664 loss: 0.2195 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1673 2024/08/16 18:46:05 - mmengine - INFO - Iter(train) [ 85600/120000] base_lr: 3.9508e-05 lr: 5.4099e-06 eta: 19:36:11 time: 2.0534 data_time: 0.1089 memory: 11532 grad_norm: 0.7663 loss: 0.2191 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1669 2024/08/16 18:47:48 - mmengine - INFO - Iter(train) [ 85650/120000] base_lr: 3.9407e-05 lr: 5.4006e-06 eta: 19:34:28 time: 2.0537 data_time: 0.1091 memory: 12045 grad_norm: 0.7667 loss: 0.2189 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1667 2024/08/16 18:49:31 - mmengine - INFO - Iter(train) [ 85700/120000] base_lr: 3.9305e-05 lr: 5.3914e-06 eta: 19:32:46 time: 2.0540 data_time: 0.1086 memory: 11710 grad_norm: 0.7675 loss: 0.2181 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1661 2024/08/16 18:51:13 - mmengine - INFO - Iter(train) [ 85750/120000] base_lr: 3.9204e-05 lr: 5.3822e-06 eta: 19:31:03 time: 2.0543 data_time: 0.1085 memory: 11959 grad_norm: 0.7674 loss: 0.2181 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1661 2024/08/16 18:52:56 - mmengine - INFO - Iter(train) [ 85800/120000] base_lr: 3.9103e-05 lr: 5.3730e-06 eta: 19:29:21 time: 2.0545 data_time: 0.1083 memory: 11742 grad_norm: 0.7673 loss: 0.2179 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1659 2024/08/16 18:54:39 - mmengine - INFO - Iter(train) [ 85850/120000] base_lr: 3.9002e-05 lr: 5.3638e-06 eta: 19:27:39 time: 2.0549 data_time: 0.1083 memory: 11729 grad_norm: 0.7676 loss: 0.2175 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1657 2024/08/16 18:56:21 - mmengine - INFO - Iter(train) [ 85900/120000] base_lr: 3.8901e-05 lr: 5.3546e-06 eta: 19:25:56 time: 2.0549 data_time: 0.1081 memory: 11836 grad_norm: 0.7677 loss: 0.2172 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1654 2024/08/16 18:58:03 - mmengine - INFO - Iter(train) [ 85950/120000] base_lr: 3.8800e-05 lr: 5.3455e-06 eta: 19:24:13 time: 2.0551 data_time: 0.1082 memory: 11744 grad_norm: 0.7673 loss: 0.2174 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1655 2024/08/16 18:59:46 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 18:59:46 - mmengine - INFO - Iter(train) [ 86000/120000] base_lr: 3.8699e-05 lr: 5.3363e-06 eta: 19:22:31 time: 2.0554 data_time: 0.1085 memory: 12056 grad_norm: 0.7671 loss: 0.2180 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1660 2024/08/16 18:59:46 - mmengine - INFO - Saving checkpoint at 86000 iterations 2024/08/16 19:01:34 - mmengine - INFO - Iter(train) [ 86050/120000] base_lr: 3.8599e-05 lr: 5.3271e-06 eta: 19:20:51 time: 2.0555 data_time: 0.1083 memory: 11781 grad_norm: 0.7671 loss: 0.2179 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1659 2024/08/16 19:03:16 - mmengine - INFO - Iter(train) [ 86100/120000] base_lr: 3.8498e-05 lr: 5.3180e-06 eta: 19:19:08 time: 2.0556 data_time: 0.1085 memory: 11710 grad_norm: 0.7670 loss: 0.2184 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1664 2024/08/16 19:05:00 - mmengine - INFO - Iter(train) [ 86150/120000] base_lr: 3.8398e-05 lr: 5.3089e-06 eta: 19:17:26 time: 2.0561 data_time: 0.1085 memory: 11722 grad_norm: 0.7666 loss: 0.2188 instance_segmentation_loss_cls: 0.0367 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1667 2024/08/16 19:06:42 - mmengine - INFO - Iter(train) [ 86200/120000] base_lr: 3.8297e-05 lr: 5.2998e-06 eta: 19:15:44 time: 2.0564 data_time: 0.1083 memory: 11717 grad_norm: 0.7672 loss: 0.2188 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1668 2024/08/16 19:08:25 - mmengine - INFO - Iter(train) [ 86250/120000] base_lr: 3.8197e-05 lr: 5.2906e-06 eta: 19:14:01 time: 2.0566 data_time: 0.1082 memory: 11532 grad_norm: 0.7670 loss: 0.2191 instance_segmentation_loss_cls: 0.0366 instance_segmentation_loss_mask: 0.0155 instance_segmentation_loss_dice: 0.1671 2024/08/16 19:10:07 - mmengine - INFO - Iter(train) [ 86300/120000] base_lr: 3.8097e-05 lr: 5.2815e-06 eta: 19:12:18 time: 2.0566 data_time: 0.1080 memory: 11989 grad_norm: 0.7673 loss: 0.2191 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1671 2024/08/16 19:11:49 - mmengine - INFO - Iter(train) [ 86350/120000] base_lr: 3.7997e-05 lr: 5.2724e-06 eta: 19:10:35 time: 2.0567 data_time: 0.1078 memory: 11745 grad_norm: 0.7675 loss: 0.2189 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1670 2024/08/16 19:13:33 - mmengine - INFO - Iter(train) [ 86400/120000] base_lr: 3.7897e-05 lr: 5.2634e-06 eta: 19:08:53 time: 2.0572 data_time: 0.1078 memory: 11793 grad_norm: 0.7673 loss: 0.2194 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1675 2024/08/16 19:15:15 - mmengine - INFO - Iter(train) [ 86450/120000] base_lr: 3.7797e-05 lr: 5.2543e-06 eta: 19:07:11 time: 2.0572 data_time: 0.1077 memory: 11660 grad_norm: 0.7675 loss: 0.2192 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1673 2024/08/16 19:16:58 - mmengine - INFO - Iter(train) [ 86500/120000] base_lr: 3.7698e-05 lr: 5.2452e-06 eta: 19:05:28 time: 2.0575 data_time: 0.1076 memory: 11692 grad_norm: 0.7679 loss: 0.2191 instance_segmentation_loss_cls: 0.0365 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1671 2024/08/16 19:18:41 - mmengine - INFO - Iter(train) [ 86550/120000] base_lr: 3.7598e-05 lr: 5.2362e-06 eta: 19:03:46 time: 2.0577 data_time: 0.1072 memory: 11591 grad_norm: 0.7682 loss: 0.2186 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1668 2024/08/16 19:20:25 - mmengine - INFO - Iter(train) [ 86600/120000] base_lr: 3.7498e-05 lr: 5.2271e-06 eta: 19:02:04 time: 2.0580 data_time: 0.1071 memory: 12086 grad_norm: 0.7678 loss: 0.2184 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_mask: 0.0154 instance_segmentation_loss_dice: 0.1667 2024/08/16 19:22:07 - mmengine - INFO - Iter(train) [ 86650/120000] base_lr: 3.7399e-05 lr: 5.2181e-06 eta: 19:00:21 time: 2.0580 data_time: 0.1069 memory: 11783 grad_norm: 0.7685 loss: 0.2183 instance_segmentation_loss_cls: 0.0363 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1667 2024/08/16 19:23:49 - 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mmengine - INFO - Saving checkpoint at 87000 iterations 2024/08/16 19:35:52 - mmengine - INFO - Iter(train) [ 87050/120000] base_lr: 3.6608e-05 lr: 5.1462e-06 eta: 18:46:43 time: 2.0585 data_time: 0.1072 memory: 11632 grad_norm: 0.7672 loss: 0.2189 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1671 2024/08/16 19:37:35 - mmengine - INFO - Iter(train) [ 87100/120000] base_lr: 3.6510e-05 lr: 5.1372e-06 eta: 18:45:01 time: 2.0588 data_time: 0.1071 memory: 11588 grad_norm: 0.7665 loss: 0.2186 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1668 2024/08/16 19:39:18 - mmengine - INFO - Iter(train) [ 87150/120000] base_lr: 3.6411e-05 lr: 5.1283e-06 eta: 18:43:18 time: 2.0589 data_time: 0.1069 memory: 11766 grad_norm: 0.7666 loss: 0.2181 instance_segmentation_loss_cls: 0.0364 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1663 2024/08/16 19:41:01 - 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mmengine - INFO - Iter(train) [ 87600/120000] base_lr: 3.5532e-05 lr: 5.0484e-06 eta: 18:27:54 time: 2.0596 data_time: 0.1070 memory: 11532 grad_norm: 0.7665 loss: 0.2159 instance_segmentation_loss_cls: 0.0361 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1647 2024/08/16 19:56:22 - mmengine - INFO - Iter(train) [ 87650/120000] base_lr: 3.5435e-05 lr: 5.0395e-06 eta: 18:26:11 time: 2.0597 data_time: 0.1072 memory: 11814 grad_norm: 0.7666 loss: 0.2164 instance_segmentation_loss_cls: 0.0361 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1651 2024/08/16 19:58:03 - mmengine - INFO - Iter(train) [ 87700/120000] base_lr: 3.5338e-05 lr: 5.0307e-06 eta: 18:24:28 time: 2.0597 data_time: 0.1074 memory: 11920 grad_norm: 0.7667 loss: 0.2169 instance_segmentation_loss_cls: 0.0362 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1655 2024/08/16 19:59:47 - mmengine - INFO - Iter(train) [ 87750/120000] base_lr: 3.5241e-05 lr: 5.0219e-06 eta: 18:22:46 time: 2.0599 data_time: 0.1075 memory: 12156 grad_norm: 0.7665 loss: 0.2166 instance_segmentation_loss_cls: 0.0361 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1653 2024/08/16 20:01:29 - 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mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 20:08:18 - mmengine - INFO - Iter(train) [ 88000/120000] base_lr: 3.4758e-05 lr: 4.9780e-06 eta: 18:14:12 time: 2.0601 data_time: 0.1088 memory: 11817 grad_norm: 0.7662 loss: 0.2169 instance_segmentation_loss_cls: 0.0362 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1654 2024/08/16 20:08:18 - mmengine - INFO - Saving checkpoint at 88000 iterations 2024/08/16 20:10:05 - mmengine - INFO - Iter(train) [ 88050/120000] base_lr: 3.4662e-05 lr: 4.9692e-06 eta: 18:12:32 time: 2.0600 data_time: 0.1089 memory: 11699 grad_norm: 0.7664 loss: 0.2168 instance_segmentation_loss_cls: 0.0362 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1653 2024/08/16 20:11:48 - mmengine - INFO - Iter(train) [ 88100/120000] base_lr: 3.4566e-05 lr: 4.9605e-06 eta: 18:10:49 time: 2.0600 data_time: 0.1092 memory: 11918 grad_norm: 0.7673 loss: 0.2172 instance_segmentation_loss_cls: 0.0362 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1657 2024/08/16 20:13:30 - 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mmengine - INFO - Iter(train) [ 88950/120000] base_lr: 3.2949e-05 lr: 4.8135e-06 eta: 17:41:43 time: 2.0617 data_time: 0.1123 memory: 11685 grad_norm: 0.7668 loss: 0.2173 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1662 2024/08/16 20:42:30 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 20:42:30 - mmengine - INFO - Iter(train) [ 89000/120000] base_lr: 3.2855e-05 lr: 4.8050e-06 eta: 17:40:00 time: 2.0617 data_time: 0.1124 memory: 11670 grad_norm: 0.7663 loss: 0.2173 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1661 2024/08/16 20:42:30 - mmengine - INFO - Saving checkpoint at 89000 iterations 2024/08/16 20:44:16 - mmengine - INFO - Iter(train) [ 89050/120000] base_lr: 3.2761e-05 lr: 4.7964e-06 eta: 17:38:19 time: 2.0547 data_time: 0.1058 memory: 11532 grad_norm: 0.7661 loss: 0.2173 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1662 2024/08/16 20:45:58 - mmengine - INFO - Iter(train) [ 89100/120000] base_lr: 3.2667e-05 lr: 4.7879e-06 eta: 17:36:37 time: 2.0546 data_time: 0.1061 memory: 11603 grad_norm: 0.7653 loss: 0.2175 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1664 2024/08/16 20:47:41 - mmengine - INFO - Iter(train) [ 89150/120000] base_lr: 3.2573e-05 lr: 4.7794e-06 eta: 17:34:54 time: 2.0548 data_time: 0.1060 memory: 11653 grad_norm: 0.7653 loss: 0.2168 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1657 2024/08/16 20:49:24 - mmengine - INFO - Iter(train) [ 89200/120000] base_lr: 3.2480e-05 lr: 4.7709e-06 eta: 17:33:12 time: 2.0547 data_time: 0.1064 memory: 11939 grad_norm: 0.7651 loss: 0.2168 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1657 2024/08/16 20:51:05 - mmengine - INFO - Iter(train) [ 89250/120000] base_lr: 3.2386e-05 lr: 4.7624e-06 eta: 17:31:29 time: 2.0545 data_time: 0.1066 memory: 11719 grad_norm: 0.7652 loss: 0.2167 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1656 2024/08/16 20:52:47 - mmengine - INFO - Iter(train) [ 89300/120000] base_lr: 3.2293e-05 lr: 4.7539e-06 eta: 17:29:46 time: 2.0543 data_time: 0.1067 memory: 11964 grad_norm: 0.7652 loss: 0.2168 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1657 2024/08/16 20:54:29 - mmengine - INFO - Iter(train) [ 89350/120000] base_lr: 3.2200e-05 lr: 4.7454e-06 eta: 17:28:03 time: 2.0542 data_time: 0.1067 memory: 11743 grad_norm: 0.7653 loss: 0.2171 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1659 2024/08/16 20:56:12 - mmengine - INFO - Iter(train) [ 89400/120000] base_lr: 3.2106e-05 lr: 4.7370e-06 eta: 17:26:20 time: 2.0540 data_time: 0.1067 memory: 11555 grad_norm: 0.7653 loss: 0.2167 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1656 2024/08/16 20:57:54 - mmengine - INFO - Iter(train) [ 89450/120000] base_lr: 3.2013e-05 lr: 4.7285e-06 eta: 17:24:38 time: 2.0541 data_time: 0.1069 memory: 11832 grad_norm: 0.7655 loss: 0.2172 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1662 2024/08/16 20:59:36 - mmengine - INFO - Iter(train) [ 89500/120000] base_lr: 3.1921e-05 lr: 4.7201e-06 eta: 17:22:55 time: 2.0539 data_time: 0.1071 memory: 11623 grad_norm: 0.7651 loss: 0.2173 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1662 2024/08/16 21:01:18 - mmengine - INFO - Iter(train) [ 89550/120000] base_lr: 3.1828e-05 lr: 4.7116e-06 eta: 17:21:12 time: 2.0536 data_time: 0.1071 memory: 11741 grad_norm: 0.7655 loss: 0.2172 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1661 2024/08/16 21:02:59 - mmengine - INFO - Iter(train) [ 89600/120000] base_lr: 3.1735e-05 lr: 4.7032e-06 eta: 17:19:28 time: 2.0533 data_time: 0.1073 memory: 11621 grad_norm: 0.7656 loss: 0.2174 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1663 2024/08/16 21:04:41 - mmengine - INFO - Iter(train) [ 89650/120000] base_lr: 3.1643e-05 lr: 4.6948e-06 eta: 17:17:45 time: 2.0530 data_time: 0.1071 memory: 11668 grad_norm: 0.7655 loss: 0.2170 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1660 2024/08/16 21:06:23 - mmengine - INFO - Iter(train) [ 89700/120000] base_lr: 3.1550e-05 lr: 4.6864e-06 eta: 17:16:03 time: 2.0529 data_time: 0.1073 memory: 11782 grad_norm: 0.7653 loss: 0.2173 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1663 2024/08/16 21:08:04 - mmengine - INFO - Iter(train) [ 89750/120000] base_lr: 3.1458e-05 lr: 4.6780e-06 eta: 17:14:20 time: 2.0526 data_time: 0.1075 memory: 11699 grad_norm: 0.7660 loss: 0.2175 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1664 2024/08/16 21:09:47 - mmengine - INFO - Iter(train) [ 89800/120000] base_lr: 3.1366e-05 lr: 4.6696e-06 eta: 17:12:37 time: 2.0525 data_time: 0.1078 memory: 11900 grad_norm: 0.7662 loss: 0.2181 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1669 2024/08/16 21:11:29 - mmengine - INFO - Iter(train) [ 89850/120000] base_lr: 3.1274e-05 lr: 4.6612e-06 eta: 17:10:54 time: 2.0524 data_time: 0.1080 memory: 11858 grad_norm: 0.7658 loss: 0.2185 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1673 2024/08/16 21:13:12 - mmengine - INFO - Iter(train) [ 89900/120000] base_lr: 3.1182e-05 lr: 4.6529e-06 eta: 17:09:12 time: 2.0525 data_time: 0.1081 memory: 11719 grad_norm: 0.7655 loss: 0.2190 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1677 2024/08/16 21:14:54 - mmengine - INFO - Iter(train) [ 89950/120000] base_lr: 3.1090e-05 lr: 4.6445e-06 eta: 17:07:29 time: 2.0525 data_time: 0.1083 memory: 11723 grad_norm: 0.7652 loss: 0.2191 instance_segmentation_loss_cls: 0.0361 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1678 2024/08/16 21:16:36 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 21:16:36 - mmengine - INFO - Iter(train) [ 90000/120000] base_lr: 3.0998e-05 lr: 4.6362e-06 eta: 17:05:46 time: 2.0523 data_time: 0.1082 memory: 11702 grad_norm: 0.7653 loss: 0.2190 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1677 2024/08/16 21:16:36 - mmengine - INFO - Saving checkpoint at 90000 iterations 2024/08/16 21:17:04 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:20 time: 0.4496 data_time: 0.0179 memory: 5705 2024/08/16 21:17:27 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:57 time: 0.4499 data_time: 0.0180 memory: 5705 2024/08/16 21:17:49 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:33 time: 0.4498 data_time: 0.0180 memory: 5705 2024/08/16 21:18:12 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:11 time: 0.4497 data_time: 0.0180 memory: 5705 2024/08/16 21:18:34 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:48 time: 0.4497 data_time: 0.0180 memory: 5705 2024/08/16 21:18:56 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:25 time: 0.4496 data_time: 0.0179 memory: 5705 2024/08/16 21:19:19 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:03 time: 0.4495 data_time: 0.0179 memory: 5705 2024/08/16 21:19:41 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:40 time: 0.4494 data_time: 0.0179 memory: 5705 2024/08/16 21:20:03 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:18 time: 0.4493 data_time: 0.0178 memory: 5705 2024/08/16 21:20:25 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:55 time: 0.4493 data_time: 0.0178 memory: 5705 2024/08/16 21:20:48 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:33 time: 0.4492 data_time: 0.0178 memory: 5705 2024/08/16 21:21:11 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.4493 data_time: 0.0178 memory: 5705 2024/08/16 21:21:29 - mmengine - INFO - Evaluating segm... 2024/08/16 21:21:53 - mmengine - INFO - segm_mAP_copypaste: 0.406 0.613 0.443 0.204 0.457 0.613 2024/08/16 21:21:53 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.4060 coco/segm_mAP_50: 0.6130 coco/segm_mAP_75: 0.4430 coco/segm_mAP_s: 0.2040 coco/segm_mAP_m: 0.4570 coco/segm_mAP_l: 0.6130 data_time: 0.0180 time: 0.4489 2024/08/16 21:23:36 - mmengine - INFO - Iter(train) [ 90050/120000] base_lr: 3.0907e-05 lr: 4.6279e-06 eta: 17:04:18 time: 2.0588 data_time: 0.1149 memory: 11708 grad_norm: 0.7659 loss: 0.2194 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1681 2024/08/16 21:25:18 - mmengine - INFO - Iter(train) [ 90100/120000] base_lr: 3.0815e-05 lr: 4.6196e-06 eta: 17:02:35 time: 2.0589 data_time: 0.1148 memory: 11757 grad_norm: 0.7660 loss: 0.2191 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1679 2024/08/16 21:27:01 - mmengine - INFO - Iter(train) [ 90150/120000] base_lr: 3.0724e-05 lr: 4.6113e-06 eta: 17:00:53 time: 2.0585 data_time: 0.1146 memory: 11566 grad_norm: 0.7676 loss: 0.2186 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1674 2024/08/16 21:28:43 - mmengine - INFO - Iter(train) [ 90200/120000] base_lr: 3.0633e-05 lr: 4.6030e-06 eta: 16:59:10 time: 2.0586 data_time: 0.1148 memory: 11764 grad_norm: 0.7675 loss: 0.2185 instance_segmentation_loss_cls: 0.0360 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1673 2024/08/16 21:30:27 - mmengine - INFO - Iter(train) [ 90250/120000] base_lr: 3.0542e-05 lr: 4.5947e-06 eta: 16:57:28 time: 2.0587 data_time: 0.1148 memory: 11537 grad_norm: 0.7675 loss: 0.2180 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1669 2024/08/16 21:32:09 - mmengine - INFO - Iter(train) [ 90300/120000] base_lr: 3.0451e-05 lr: 4.5864e-06 eta: 16:55:45 time: 2.0588 data_time: 0.1148 memory: 11647 grad_norm: 0.7675 loss: 0.2176 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1665 2024/08/16 21:33:51 - mmengine - INFO - Iter(train) [ 90350/120000] base_lr: 3.0360e-05 lr: 4.5782e-06 eta: 16:54:02 time: 2.0589 data_time: 0.1149 memory: 11818 grad_norm: 0.7671 loss: 0.2178 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1666 2024/08/16 21:35:34 - mmengine - INFO - Iter(train) [ 90400/120000] base_lr: 3.0269e-05 lr: 4.5699e-06 eta: 16:52:20 time: 2.0586 data_time: 0.1149 memory: 12042 grad_norm: 0.7678 loss: 0.2173 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1662 2024/08/16 21:37:16 - mmengine - INFO - Iter(train) [ 90450/120000] base_lr: 3.0178e-05 lr: 4.5617e-06 eta: 16:50:37 time: 2.0587 data_time: 0.1151 memory: 12239 grad_norm: 0.7673 loss: 0.2172 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1661 2024/08/16 21:38:59 - mmengine - INFO - Iter(train) [ 90500/120000] base_lr: 3.0088e-05 lr: 4.5534e-06 eta: 16:48:54 time: 2.0585 data_time: 0.1153 memory: 11908 grad_norm: 0.7670 loss: 0.2173 instance_segmentation_loss_cls: 0.0359 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1662 2024/08/16 21:40:42 - mmengine - INFO - Iter(train) [ 90550/120000] base_lr: 2.9998e-05 lr: 4.5452e-06 eta: 16:47:12 time: 2.0585 data_time: 0.1155 memory: 11929 grad_norm: 0.7669 loss: 0.2173 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1663 2024/08/16 21:42:25 - mmengine - INFO - Iter(train) [ 90600/120000] base_lr: 2.9907e-05 lr: 4.5370e-06 eta: 16:45:29 time: 2.0583 data_time: 0.1155 memory: 11766 grad_norm: 0.7675 loss: 0.2173 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1663 2024/08/16 21:44:08 - mmengine - INFO - Iter(train) [ 90650/120000] base_lr: 2.9817e-05 lr: 4.5288e-06 eta: 16:43:47 time: 2.0584 data_time: 0.1155 memory: 11997 grad_norm: 0.7666 loss: 0.2171 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1660 2024/08/16 21:45:50 - mmengine - INFO - Iter(train) [ 90700/120000] base_lr: 2.9727e-05 lr: 4.5207e-06 eta: 16:42:04 time: 2.0585 data_time: 0.1156 memory: 11832 grad_norm: 0.7666 loss: 0.2170 instance_segmentation_loss_cls: 0.0358 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1660 2024/08/16 21:47:32 - mmengine - INFO - Iter(train) [ 90750/120000] base_lr: 2.9637e-05 lr: 4.5125e-06 eta: 16:40:21 time: 2.0583 data_time: 0.1156 memory: 11821 grad_norm: 0.7670 loss: 0.2166 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1657 2024/08/16 21:49:14 - mmengine - INFO - Iter(train) [ 90800/120000] base_lr: 2.9548e-05 lr: 4.5043e-06 eta: 16:38:38 time: 2.0581 data_time: 0.1156 memory: 11537 grad_norm: 0.7678 loss: 0.2160 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1652 2024/08/16 21:50:57 - mmengine - INFO - Iter(train) [ 90850/120000] base_lr: 2.9458e-05 lr: 4.4962e-06 eta: 16:36:56 time: 2.0580 data_time: 0.1155 memory: 11634 grad_norm: 0.7678 loss: 0.2157 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1649 2024/08/16 21:52:40 - mmengine - INFO - Iter(train) [ 90900/120000] base_lr: 2.9368e-05 lr: 4.4880e-06 eta: 16:35:13 time: 2.0580 data_time: 0.1155 memory: 11557 grad_norm: 0.7683 loss: 0.2153 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1646 2024/08/16 21:54:22 - mmengine - INFO - Iter(train) [ 90950/120000] base_lr: 2.9279e-05 lr: 4.4799e-06 eta: 16:33:31 time: 2.0580 data_time: 0.1155 memory: 11705 grad_norm: 0.7686 loss: 0.2155 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1648 2024/08/16 21:56:05 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 21:56:05 - mmengine - INFO - Iter(train) [ 91000/120000] base_lr: 2.9190e-05 lr: 4.4718e-06 eta: 16:31:48 time: 2.0581 data_time: 0.1158 memory: 12146 grad_norm: 0.7692 loss: 0.2158 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1651 2024/08/16 21:56:05 - mmengine - INFO - Saving checkpoint at 91000 iterations 2024/08/16 21:57:53 - mmengine - INFO - Iter(train) [ 91050/120000] base_lr: 2.9101e-05 lr: 4.4637e-06 eta: 16:30:08 time: 2.0584 data_time: 0.1159 memory: 11754 grad_norm: 0.7694 loss: 0.2158 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1650 2024/08/16 21:59:35 - mmengine - INFO - Iter(train) [ 91100/120000] base_lr: 2.9012e-05 lr: 4.4556e-06 eta: 16:28:25 time: 2.0583 data_time: 0.1161 memory: 11716 grad_norm: 0.7696 loss: 0.2161 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1654 2024/08/16 22:01:18 - mmengine - INFO - Iter(train) [ 91150/120000] base_lr: 2.8923e-05 lr: 4.4475e-06 eta: 16:26:43 time: 2.0583 data_time: 0.1163 memory: 11658 grad_norm: 0.7701 loss: 0.2162 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1655 2024/08/16 22:03:01 - mmengine - INFO - Iter(train) [ 91200/120000] base_lr: 2.8834e-05 lr: 4.4394e-06 eta: 16:25:00 time: 2.0581 data_time: 0.1164 memory: 11643 grad_norm: 0.7701 loss: 0.2165 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1657 2024/08/16 22:04:43 - mmengine - INFO - Iter(train) [ 91250/120000] base_lr: 2.8745e-05 lr: 4.4314e-06 eta: 16:23:17 time: 2.0582 data_time: 0.1165 memory: 12388 grad_norm: 0.7700 loss: 0.2166 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1658 2024/08/16 22:06:25 - mmengine - INFO - Iter(train) [ 91300/120000] base_lr: 2.8657e-05 lr: 4.4233e-06 eta: 16:21:34 time: 2.0583 data_time: 0.1165 memory: 11848 grad_norm: 0.7701 loss: 0.2162 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1655 2024/08/16 22:08:07 - mmengine - INFO - Iter(train) [ 91350/120000] base_lr: 2.8568e-05 lr: 4.4153e-06 eta: 16:19:52 time: 2.0584 data_time: 0.1166 memory: 12089 grad_norm: 0.7707 loss: 0.2163 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1656 2024/08/16 22:09:50 - 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mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 22:30:21 - mmengine - INFO - Iter(train) [ 92000/120000] base_lr: 2.7430e-05 lr: 4.3119e-06 eta: 15:57:38 time: 2.0591 data_time: 0.1157 memory: 11537 grad_norm: 0.7704 loss: 0.2155 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1650 2024/08/16 22:30:21 - mmengine - INFO - Saving checkpoint at 92000 iterations 2024/08/16 22:32:09 - mmengine - INFO - Iter(train) [ 92050/120000] base_lr: 2.7344e-05 lr: 4.3040e-06 eta: 15:55:57 time: 2.0592 data_time: 0.1157 memory: 11982 grad_norm: 0.7708 loss: 0.2157 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1651 2024/08/16 22:33:52 - mmengine - INFO - Iter(train) [ 92100/120000] base_lr: 2.7257e-05 lr: 4.2961e-06 eta: 15:54:15 time: 2.0593 data_time: 0.1156 memory: 11808 grad_norm: 0.7697 loss: 0.2153 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1648 2024/08/16 22:35:34 - 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mmengine - INFO - Iter(train) [ 92550/120000] base_lr: 2.6484e-05 lr: 4.2258e-06 eta: 15:38:51 time: 2.0600 data_time: 0.1158 memory: 12036 grad_norm: 0.7684 loss: 0.2157 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0151 instance_segmentation_loss_dice: 0.1651 2024/08/16 22:50:57 - mmengine - INFO - Iter(train) [ 92600/120000] base_lr: 2.6399e-05 lr: 4.2181e-06 eta: 15:37:08 time: 2.0600 data_time: 0.1156 memory: 11537 grad_norm: 0.7679 loss: 0.2156 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1649 2024/08/16 22:52:40 - mmengine - INFO - Iter(train) [ 92650/120000] base_lr: 2.6314e-05 lr: 4.2103e-06 eta: 15:35:26 time: 2.0602 data_time: 0.1157 memory: 11790 grad_norm: 0.7676 loss: 0.2160 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1652 2024/08/16 22:54:22 - mmengine - INFO - Iter(train) [ 92700/120000] base_lr: 2.6229e-05 lr: 4.2026e-06 eta: 15:33:43 time: 2.0605 data_time: 0.1157 memory: 11831 grad_norm: 0.7673 loss: 0.2161 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1653 2024/08/16 22:56:06 - mmengine - INFO - Iter(train) [ 92750/120000] base_lr: 2.6144e-05 lr: 4.1949e-06 eta: 15:32:01 time: 2.0605 data_time: 0.1159 memory: 11887 grad_norm: 0.7674 loss: 0.2161 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1653 2024/08/16 22:57:49 - mmengine - INFO - Iter(train) [ 92800/120000] base_lr: 2.6059e-05 lr: 4.1872e-06 eta: 15:30:19 time: 2.0607 data_time: 0.1158 memory: 11631 grad_norm: 0.7677 loss: 0.2158 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1651 2024/08/16 22:59:32 - mmengine - INFO - Iter(train) [ 92850/120000] base_lr: 2.5975e-05 lr: 4.1795e-06 eta: 15:28:36 time: 2.0610 data_time: 0.1161 memory: 11726 grad_norm: 0.7676 loss: 0.2161 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1653 2024/08/16 23:01:15 - mmengine - INFO - Iter(train) [ 92900/120000] base_lr: 2.5890e-05 lr: 4.1718e-06 eta: 15:26:54 time: 2.0610 data_time: 0.1161 memory: 11537 grad_norm: 0.7679 loss: 0.2164 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1655 2024/08/16 23:02:57 - mmengine - INFO - Iter(train) [ 92950/120000] base_lr: 2.5806e-05 lr: 4.1642e-06 eta: 15:25:11 time: 2.0609 data_time: 0.1162 memory: 11781 grad_norm: 0.7680 loss: 0.2167 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1658 2024/08/16 23:04:40 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 23:04:40 - mmengine - INFO - Iter(train) [ 93000/120000] base_lr: 2.5721e-05 lr: 4.1565e-06 eta: 15:23:28 time: 2.0609 data_time: 0.1162 memory: 11721 grad_norm: 0.7690 loss: 0.2170 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1661 2024/08/16 23:04:40 - mmengine - INFO - Saving checkpoint at 93000 iterations 2024/08/16 23:06:27 - mmengine - INFO - Iter(train) [ 93050/120000] base_lr: 2.5637e-05 lr: 4.1489e-06 eta: 15:21:47 time: 2.0611 data_time: 0.1163 memory: 11775 grad_norm: 0.7692 loss: 0.2170 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1661 2024/08/16 23:08:10 - mmengine - INFO - Iter(train) [ 93100/120000] base_lr: 2.5553e-05 lr: 4.1412e-06 eta: 15:20:05 time: 2.0612 data_time: 0.1161 memory: 11700 grad_norm: 0.7696 loss: 0.2167 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1659 2024/08/16 23:09:53 - mmengine - INFO - Iter(train) [ 93150/120000] base_lr: 2.5470e-05 lr: 4.1336e-06 eta: 15:18:22 time: 2.0612 data_time: 0.1162 memory: 11607 grad_norm: 0.7702 loss: 0.2173 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1664 2024/08/16 23:11:36 - mmengine - INFO - Iter(train) [ 93200/120000] base_lr: 2.5386e-05 lr: 4.1260e-06 eta: 15:16:40 time: 2.0613 data_time: 0.1159 memory: 11832 grad_norm: 0.7710 loss: 0.2171 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1662 2024/08/16 23:13:18 - mmengine - INFO - Iter(train) [ 93250/120000] base_lr: 2.5302e-05 lr: 4.1184e-06 eta: 15:14:57 time: 2.0615 data_time: 0.1159 memory: 11537 grad_norm: 0.7708 loss: 0.2173 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1664 2024/08/16 23:15:01 - 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mmengine - INFO - Iter(train) [ 93900/120000] base_lr: 2.4228e-05 lr: 4.0207e-06 eta: 14:52:44 time: 2.0638 data_time: 0.1159 memory: 11808 grad_norm: 0.7695 loss: 0.2163 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1654 2024/08/16 23:37:16 - mmengine - INFO - Iter(train) [ 93950/120000] base_lr: 2.4146e-05 lr: 4.0133e-06 eta: 14:51:01 time: 2.0639 data_time: 0.1159 memory: 11799 grad_norm: 0.7697 loss: 0.2162 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1654 2024/08/16 23:38:58 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/16 23:38:58 - mmengine - INFO - Iter(train) [ 94000/120000] base_lr: 2.4064e-05 lr: 4.0058e-06 eta: 14:49:18 time: 2.0638 data_time: 0.1159 memory: 11805 grad_norm: 0.7696 loss: 0.2162 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1654 2024/08/16 23:38:58 - mmengine - INFO - Saving checkpoint at 94000 iterations 2024/08/16 23:40:45 - mmengine - INFO - Iter(train) [ 94050/120000] base_lr: 2.3983e-05 lr: 3.9984e-06 eta: 14:47:37 time: 2.0572 data_time: 0.1092 memory: 11814 grad_norm: 0.7693 loss: 0.2160 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1652 2024/08/16 23:42:28 - mmengine - INFO - Iter(train) [ 94100/120000] base_lr: 2.3901e-05 lr: 3.9910e-06 eta: 14:45:55 time: 2.0571 data_time: 0.1092 memory: 11897 grad_norm: 0.7691 loss: 0.2159 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1651 2024/08/16 23:44:10 - mmengine - INFO - Iter(train) [ 94150/120000] base_lr: 2.3820e-05 lr: 3.9836e-06 eta: 14:44:12 time: 2.0571 data_time: 0.1093 memory: 12191 grad_norm: 0.7675 loss: 0.2161 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1652 2024/08/16 23:45:53 - mmengine - INFO - Iter(train) [ 94200/120000] base_lr: 2.3739e-05 lr: 3.9763e-06 eta: 14:42:29 time: 2.0571 data_time: 0.1092 memory: 11843 grad_norm: 0.7674 loss: 0.2159 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1650 2024/08/16 23:47:35 - mmengine - INFO - Iter(train) [ 94250/120000] base_lr: 2.3658e-05 lr: 3.9689e-06 eta: 14:40:47 time: 2.0570 data_time: 0.1093 memory: 11996 grad_norm: 0.7671 loss: 0.2159 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1650 2024/08/16 23:49:19 - mmengine - INFO - Iter(train) [ 94300/120000] base_lr: 2.3577e-05 lr: 3.9616e-06 eta: 14:39:05 time: 2.0573 data_time: 0.1094 memory: 11951 grad_norm: 0.7663 loss: 0.2163 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1653 2024/08/16 23:51:02 - mmengine - INFO - Iter(train) [ 94350/120000] base_lr: 2.3497e-05 lr: 3.9542e-06 eta: 14:37:22 time: 2.0575 data_time: 0.1092 memory: 11696 grad_norm: 0.7664 loss: 0.2162 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1652 2024/08/16 23:52:44 - mmengine - INFO - Iter(train) [ 94400/120000] base_lr: 2.3416e-05 lr: 3.9469e-06 eta: 14:35:39 time: 2.0575 data_time: 0.1090 memory: 11736 grad_norm: 0.7661 loss: 0.2159 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1650 2024/08/16 23:54:27 - mmengine - INFO - Iter(train) [ 94450/120000] base_lr: 2.3336e-05 lr: 3.9396e-06 eta: 14:33:57 time: 2.0575 data_time: 0.1088 memory: 11713 grad_norm: 0.7665 loss: 0.2157 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1649 2024/08/16 23:56:10 - mmengine - INFO - Iter(train) [ 94500/120000] base_lr: 2.3255e-05 lr: 3.9323e-06 eta: 14:32:14 time: 2.0574 data_time: 0.1088 memory: 11635 grad_norm: 0.7662 loss: 0.2156 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1647 2024/08/16 23:57:53 - mmengine - INFO - Iter(train) [ 94550/120000] base_lr: 2.3175e-05 lr: 3.9250e-06 eta: 14:30:32 time: 2.0574 data_time: 0.1089 memory: 11932 grad_norm: 0.7659 loss: 0.2158 instance_segmentation_loss_cls: 0.0357 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1649 2024/08/16 23:59:36 - mmengine - INFO - Iter(train) [ 94600/120000] base_lr: 2.3095e-05 lr: 3.9177e-06 eta: 14:28:49 time: 2.0575 data_time: 0.1088 memory: 11682 grad_norm: 0.7654 loss: 0.2156 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1648 2024/08/17 00:01:18 - mmengine - INFO - Iter(train) [ 94650/120000] base_lr: 2.3015e-05 lr: 3.9105e-06 eta: 14:27:06 time: 2.0574 data_time: 0.1088 memory: 11885 grad_norm: 0.7655 loss: 0.2158 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1650 2024/08/17 00:03:02 - mmengine - INFO - Iter(train) [ 94700/120000] base_lr: 2.2935e-05 lr: 3.9032e-06 eta: 14:25:24 time: 2.0577 data_time: 0.1087 memory: 11951 grad_norm: 0.7649 loss: 0.2156 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1647 2024/08/17 00:04:44 - mmengine - INFO - Iter(train) [ 94750/120000] base_lr: 2.2856e-05 lr: 3.8960e-06 eta: 14:23:42 time: 2.0578 data_time: 0.1088 memory: 11569 grad_norm: 0.7650 loss: 0.2156 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1648 2024/08/17 00:06:26 - mmengine - INFO - Iter(train) [ 94800/120000] base_lr: 2.2776e-05 lr: 3.8887e-06 eta: 14:21:59 time: 2.0579 data_time: 0.1087 memory: 11829 grad_norm: 0.7643 loss: 0.2157 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1649 2024/08/17 00:08:09 - mmengine - INFO - Iter(train) [ 94850/120000] base_lr: 2.2697e-05 lr: 3.8815e-06 eta: 14:20:16 time: 2.0578 data_time: 0.1087 memory: 11537 grad_norm: 0.7642 loss: 0.2155 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1647 2024/08/17 00:09:51 - mmengine - INFO - Iter(train) [ 94900/120000] base_lr: 2.2618e-05 lr: 3.8743e-06 eta: 14:18:33 time: 2.0577 data_time: 0.1090 memory: 11740 grad_norm: 0.7639 loss: 0.2158 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1650 2024/08/17 00:11:33 - mmengine - INFO - Iter(train) [ 94950/120000] base_lr: 2.2539e-05 lr: 3.8671e-06 eta: 14:16:51 time: 2.0576 data_time: 0.1090 memory: 11770 grad_norm: 0.7644 loss: 0.2158 instance_segmentation_loss_cls: 0.0356 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1649 2024/08/17 00:13:15 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 00:13:15 - mmengine - INFO - Iter(train) [ 95000/120000] base_lr: 2.2460e-05 lr: 3.8600e-06 eta: 14:15:08 time: 2.0573 data_time: 0.1086 memory: 11857 grad_norm: 0.7633 loss: 0.2150 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1642 2024/08/17 00:13:15 - mmengine - INFO - Saving checkpoint at 95000 iterations 2024/08/17 00:13:43 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:22 time: 0.4495 data_time: 0.0180 memory: 5705 2024/08/17 00:14:06 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:59 time: 0.4497 data_time: 0.0180 memory: 5705 2024/08/17 00:14:29 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:35 time: 0.4497 data_time: 0.0180 memory: 5705 2024/08/17 00:14:51 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:12 time: 0.4497 data_time: 0.0180 memory: 5705 2024/08/17 00:15:14 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:49 time: 0.4496 data_time: 0.0180 memory: 5705 2024/08/17 00:15:36 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:26 time: 0.4495 data_time: 0.0179 memory: 5705 2024/08/17 00:15:59 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:04 time: 0.4495 data_time: 0.0179 memory: 5705 2024/08/17 00:16:21 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:41 time: 0.4496 data_time: 0.0179 memory: 5705 2024/08/17 00:16:43 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:18 time: 0.4494 data_time: 0.0178 memory: 5705 2024/08/17 00:17:05 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:56 time: 0.4493 data_time: 0.0178 memory: 5705 2024/08/17 00:17:28 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:33 time: 0.4493 data_time: 0.0178 memory: 5705 2024/08/17 00:17:51 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.4495 data_time: 0.0178 memory: 5705 2024/08/17 00:18:08 - mmengine - INFO - Evaluating segm... 2024/08/17 00:18:33 - mmengine - INFO - segm_mAP_copypaste: 0.406 0.613 0.442 0.205 0.456 0.611 2024/08/17 00:18:33 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.4060 coco/segm_mAP_50: 0.6130 coco/segm_mAP_75: 0.4420 coco/segm_mAP_s: 0.2050 coco/segm_mAP_m: 0.4560 coco/segm_mAP_l: 0.6110 data_time: 0.0178 time: 0.4506 2024/08/17 00:20:15 - mmengine - INFO - Iter(train) [ 95050/120000] base_lr: 2.2381e-05 lr: 3.8528e-06 eta: 14:13:36 time: 2.0636 data_time: 0.1149 memory: 11771 grad_norm: 0.7635 loss: 0.2148 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1640 2024/08/17 00:21:57 - mmengine - INFO - Iter(train) [ 95100/120000] base_lr: 2.2302e-05 lr: 3.8456e-06 eta: 14:11:53 time: 2.0635 data_time: 0.1149 memory: 11771 grad_norm: 0.7630 loss: 0.2144 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1637 2024/08/17 00:23:39 - mmengine - INFO - Iter(train) [ 95150/120000] base_lr: 2.2224e-05 lr: 3.8385e-06 eta: 14:10:10 time: 2.0633 data_time: 0.1149 memory: 11690 grad_norm: 0.7630 loss: 0.2146 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1639 2024/08/17 00:25:22 - mmengine - INFO - Iter(train) [ 95200/120000] base_lr: 2.2145e-05 lr: 3.8314e-06 eta: 14:08:28 time: 2.0633 data_time: 0.1150 memory: 12099 grad_norm: 0.7633 loss: 0.2145 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1638 2024/08/17 00:27:04 - mmengine - INFO - Iter(train) [ 95250/120000] base_lr: 2.2067e-05 lr: 3.8243e-06 eta: 14:06:45 time: 2.0633 data_time: 0.1148 memory: 11748 grad_norm: 0.7633 loss: 0.2142 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1635 2024/08/17 00:28:46 - mmengine - INFO - Iter(train) [ 95300/120000] base_lr: 2.1989e-05 lr: 3.8172e-06 eta: 14:05:02 time: 2.0633 data_time: 0.1148 memory: 11676 grad_norm: 0.7638 loss: 0.2147 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1639 2024/08/17 00:30:29 - mmengine - INFO - Iter(train) [ 95350/120000] base_lr: 2.1911e-05 lr: 3.8101e-06 eta: 14:03:19 time: 2.0635 data_time: 0.1145 memory: 12019 grad_norm: 0.7632 loss: 0.2141 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1634 2024/08/17 00:32:12 - mmengine - INFO - Iter(train) [ 95400/120000] base_lr: 2.1833e-05 lr: 3.8030e-06 eta: 14:01:37 time: 2.0636 data_time: 0.1143 memory: 11692 grad_norm: 0.7631 loss: 0.2139 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1632 2024/08/17 00:33:55 - mmengine - INFO - Iter(train) [ 95450/120000] base_lr: 2.1755e-05 lr: 3.7959e-06 eta: 13:59:54 time: 2.0635 data_time: 0.1143 memory: 11959 grad_norm: 0.7633 loss: 0.2140 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1633 2024/08/17 00:35:37 - mmengine - INFO - Iter(train) [ 95500/120000] base_lr: 2.1677e-05 lr: 3.7889e-06 eta: 13:58:12 time: 2.0634 data_time: 0.1146 memory: 11952 grad_norm: 0.7635 loss: 0.2145 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1637 2024/08/17 00:37:19 - mmengine - INFO - Iter(train) [ 95550/120000] base_lr: 2.1600e-05 lr: 3.7818e-06 eta: 13:56:29 time: 2.0634 data_time: 0.1147 memory: 11811 grad_norm: 0.7637 loss: 0.2149 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1641 2024/08/17 00:39:01 - mmengine - INFO - Iter(train) [ 95600/120000] base_lr: 2.1523e-05 lr: 3.7748e-06 eta: 13:54:46 time: 2.0633 data_time: 0.1145 memory: 11589 grad_norm: 0.7637 loss: 0.2145 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1638 2024/08/17 00:40:44 - mmengine - INFO - Iter(train) [ 95650/120000] base_lr: 2.1445e-05 lr: 3.7678e-06 eta: 13:53:03 time: 2.0632 data_time: 0.1147 memory: 12099 grad_norm: 0.7637 loss: 0.2150 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1642 2024/08/17 00:42:28 - mmengine - INFO - Iter(train) [ 95700/120000] base_lr: 2.1368e-05 lr: 3.7608e-06 eta: 13:51:21 time: 2.0634 data_time: 0.1147 memory: 12004 grad_norm: 0.7642 loss: 0.2152 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1645 2024/08/17 00:44:10 - mmengine - INFO - Iter(train) [ 95750/120000] base_lr: 2.1291e-05 lr: 3.7538e-06 eta: 13:49:38 time: 2.0634 data_time: 0.1148 memory: 11864 grad_norm: 0.7640 loss: 0.2151 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1644 2024/08/17 00:45:53 - mmengine - INFO - Iter(train) [ 95800/120000] base_lr: 2.1215e-05 lr: 3.7468e-06 eta: 13:47:56 time: 2.0632 data_time: 0.1147 memory: 11640 grad_norm: 0.7631 loss: 0.2152 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1644 2024/08/17 00:47:34 - mmengine - INFO - Iter(train) [ 95850/120000] base_lr: 2.1138e-05 lr: 3.7398e-06 eta: 13:46:12 time: 2.0626 data_time: 0.1148 memory: 11791 grad_norm: 0.7630 loss: 0.2153 instance_segmentation_loss_cls: 0.0355 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1645 2024/08/17 00:49:16 - mmengine - INFO - Iter(train) [ 95900/120000] base_lr: 2.1061e-05 lr: 3.7329e-06 eta: 13:44:30 time: 2.0624 data_time: 0.1147 memory: 11771 grad_norm: 0.7633 loss: 0.2148 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1641 2024/08/17 00:50:58 - mmengine - INFO - Iter(train) [ 95950/120000] base_lr: 2.0985e-05 lr: 3.7259e-06 eta: 13:42:47 time: 2.0626 data_time: 0.1146 memory: 11653 grad_norm: 0.7630 loss: 0.2145 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1638 2024/08/17 00:52:41 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 00:52:41 - mmengine - INFO - Iter(train) [ 96000/120000] base_lr: 2.0909e-05 lr: 3.7190e-06 eta: 13:41:04 time: 2.0629 data_time: 0.1146 memory: 11601 grad_norm: 0.7629 loss: 0.2147 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_mask: 0.0153 instance_segmentation_loss_dice: 0.1640 2024/08/17 00:52:41 - mmengine - INFO - Saving checkpoint at 96000 iterations 2024/08/17 00:54:28 - mmengine - INFO - Iter(train) [ 96050/120000] base_lr: 2.0833e-05 lr: 3.7121e-06 eta: 13:39:23 time: 2.0629 data_time: 0.1145 memory: 11901 grad_norm: 0.7628 loss: 0.2146 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1640 2024/08/17 00:56:11 - mmengine - INFO - Iter(train) [ 96100/120000] base_lr: 2.0757e-05 lr: 3.7052e-06 eta: 13:37:41 time: 2.0628 data_time: 0.1146 memory: 11768 grad_norm: 0.7625 loss: 0.2148 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1642 2024/08/17 00:57:53 - mmengine - INFO - Iter(train) [ 96150/120000] base_lr: 2.0681e-05 lr: 3.6983e-06 eta: 13:35:58 time: 2.0627 data_time: 0.1144 memory: 11854 grad_norm: 0.7617 loss: 0.2147 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1641 2024/08/17 00:59:35 - mmengine - INFO - Iter(train) [ 96200/120000] base_lr: 2.0605e-05 lr: 3.6914e-06 eta: 13:34:15 time: 2.0626 data_time: 0.1144 memory: 11647 grad_norm: 0.7619 loss: 0.2149 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1643 2024/08/17 01:01:17 - mmengine - INFO - Iter(train) [ 96250/120000] base_lr: 2.0530e-05 lr: 3.6845e-06 eta: 13:32:32 time: 2.0624 data_time: 0.1144 memory: 11537 grad_norm: 0.7620 loss: 0.2150 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1644 2024/08/17 01:03:00 - mmengine - INFO - Iter(train) [ 96300/120000] base_lr: 2.0454e-05 lr: 3.6777e-06 eta: 13:30:49 time: 2.0625 data_time: 0.1145 memory: 11777 grad_norm: 0.7621 loss: 0.2151 instance_segmentation_loss_cls: 0.0354 instance_segmentation_loss_mask: 0.0152 instance_segmentation_loss_dice: 0.1645 2024/08/17 01:04:41 - 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mmengine - INFO - Iter(train) [ 97500/120000] base_lr: 1.8686e-05 lr: 3.5169e-06 eta: 12:49:43 time: 2.0585 data_time: 0.1120 memory: 11983 grad_norm: 0.7637 loss: 0.2121 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_mask: 0.0149 instance_segmentation_loss_dice: 0.1621 2024/08/17 01:45:34 - mmengine - INFO - Iter(train) [ 97550/120000] base_lr: 1.8614e-05 lr: 3.5104e-06 eta: 12:48:00 time: 2.0583 data_time: 0.1118 memory: 11656 grad_norm: 0.7646 loss: 0.2119 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_mask: 0.0149 instance_segmentation_loss_dice: 0.1620 2024/08/17 01:47:16 - mmengine - INFO - Iter(train) [ 97600/120000] base_lr: 1.8542e-05 lr: 3.5038e-06 eta: 12:46:17 time: 2.0579 data_time: 0.1117 memory: 11571 grad_norm: 0.7639 loss: 0.2116 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_mask: 0.0149 instance_segmentation_loss_dice: 0.1617 2024/08/17 01:48:59 - mmengine - INFO - Iter(train) [ 97650/120000] base_lr: 1.8471e-05 lr: 3.4973e-06 eta: 12:44:34 time: 2.0579 data_time: 0.1115 memory: 11614 grad_norm: 0.7644 loss: 0.2113 instance_segmentation_loss_cls: 0.0350 instance_segmentation_loss_mask: 0.0149 instance_segmentation_loss_dice: 0.1614 2024/08/17 01:50:41 - 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mmengine - INFO - Saving checkpoint at 98000 iterations 2024/08/17 02:02:42 - mmengine - INFO - Iter(train) [ 98050/120000] base_lr: 1.7903e-05 lr: 3.4457e-06 eta: 12:30:54 time: 2.0571 data_time: 0.1109 memory: 11745 grad_norm: 0.7652 loss: 0.2110 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0149 instance_segmentation_loss_dice: 0.1613 2024/08/17 02:04:23 - mmengine - INFO - Iter(train) [ 98100/120000] base_lr: 1.7832e-05 lr: 3.4393e-06 eta: 12:29:11 time: 2.0569 data_time: 0.1108 memory: 11692 grad_norm: 0.7655 loss: 0.2109 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0149 instance_segmentation_loss_dice: 0.1612 2024/08/17 02:06:05 - mmengine - INFO - Iter(train) [ 98150/120000] base_lr: 1.7762e-05 lr: 3.4329e-06 eta: 12:27:28 time: 2.0569 data_time: 0.1110 memory: 11816 grad_norm: 0.7658 loss: 0.2115 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0149 instance_segmentation_loss_dice: 0.1618 2024/08/17 02:07:48 - 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mmengine - INFO - Iter(train) [ 98800/120000] base_lr: 1.6862e-05 lr: 3.3511e-06 eta: 12:05:14 time: 2.0559 data_time: 0.1114 memory: 11909 grad_norm: 0.7672 loss: 0.2120 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1624 2024/08/17 02:30:01 - mmengine - INFO - Iter(train) [ 98850/120000] base_lr: 1.6794e-05 lr: 3.3449e-06 eta: 12:03:31 time: 2.0561 data_time: 0.1114 memory: 11708 grad_norm: 0.7667 loss: 0.2123 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0149 instance_segmentation_loss_dice: 0.1627 2024/08/17 02:31:43 - mmengine - INFO - Iter(train) [ 98900/120000] base_lr: 1.6726e-05 lr: 3.3387e-06 eta: 12:01:48 time: 2.0561 data_time: 0.1111 memory: 11973 grad_norm: 0.7670 loss: 0.2118 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1623 2024/08/17 02:33:26 - mmengine - INFO - Iter(train) [ 98950/120000] base_lr: 1.6658e-05 lr: 3.3325e-06 eta: 12:00:06 time: 2.0563 data_time: 0.1109 memory: 11655 grad_norm: 0.7663 loss: 0.2116 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1621 2024/08/17 02:35:09 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 02:35:09 - mmengine - INFO - Iter(train) [ 99000/120000] base_lr: 1.6590e-05 lr: 3.3264e-06 eta: 11:58:23 time: 2.0564 data_time: 0.1113 memory: 11760 grad_norm: 0.7668 loss: 0.2123 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1627 2024/08/17 02:35:09 - mmengine - INFO - Saving checkpoint at 99000 iterations 2024/08/17 02:36:56 - mmengine - INFO - Iter(train) [ 99050/120000] base_lr: 1.6522e-05 lr: 3.3202e-06 eta: 11:56:42 time: 2.0499 data_time: 0.1048 memory: 11820 grad_norm: 0.7668 loss: 0.2124 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0149 instance_segmentation_loss_dice: 0.1627 2024/08/17 02:38:38 - mmengine - INFO - Iter(train) [ 99100/120000] base_lr: 1.6455e-05 lr: 3.3141e-06 eta: 11:54:59 time: 2.0501 data_time: 0.1047 memory: 11789 grad_norm: 0.7675 loss: 0.2125 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1629 2024/08/17 02:40:20 - mmengine - INFO - Iter(train) [ 99150/120000] base_lr: 1.6387e-05 lr: 3.3080e-06 eta: 11:53:16 time: 2.0499 data_time: 0.1046 memory: 11552 grad_norm: 0.7676 loss: 0.2122 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1626 2024/08/17 02:42:02 - mmengine - INFO - Iter(train) [ 99200/120000] base_lr: 1.6320e-05 lr: 3.3018e-06 eta: 11:51:33 time: 2.0499 data_time: 0.1044 memory: 11830 grad_norm: 0.7675 loss: 0.2119 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1623 2024/08/17 02:43:45 - mmengine - INFO - Iter(train) [ 99250/120000] base_lr: 1.6253e-05 lr: 3.2957e-06 eta: 11:49:51 time: 2.0501 data_time: 0.1047 memory: 11853 grad_norm: 0.7673 loss: 0.2121 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1625 2024/08/17 02:45:28 - mmengine - INFO - Iter(train) [ 99300/120000] base_lr: 1.6186e-05 lr: 3.2897e-06 eta: 11:48:08 time: 2.0502 data_time: 0.1048 memory: 11537 grad_norm: 0.7671 loss: 0.2120 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1624 2024/08/17 02:47:09 - mmengine - INFO - Iter(train) [ 99350/120000] base_lr: 1.6120e-05 lr: 3.2836e-06 eta: 11:46:25 time: 2.0498 data_time: 0.1050 memory: 11783 grad_norm: 0.7673 loss: 0.2122 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1626 2024/08/17 02:48:52 - mmengine - INFO - Iter(train) [ 99400/120000] base_lr: 1.6053e-05 lr: 3.2775e-06 eta: 11:44:43 time: 2.0497 data_time: 0.1051 memory: 11769 grad_norm: 0.7679 loss: 0.2124 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1628 2024/08/17 02:50:34 - mmengine - INFO - Iter(train) [ 99450/120000] base_lr: 1.5986e-05 lr: 3.2715e-06 eta: 11:43:00 time: 2.0496 data_time: 0.1052 memory: 11858 grad_norm: 0.7676 loss: 0.2126 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1630 2024/08/17 02:52:16 - mmengine - INFO - Iter(train) [ 99500/120000] base_lr: 1.5920e-05 lr: 3.2655e-06 eta: 11:41:17 time: 2.0495 data_time: 0.1050 memory: 11650 grad_norm: 0.7675 loss: 0.2123 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1627 2024/08/17 02:53:58 - mmengine - INFO - Iter(train) [ 99550/120000] base_lr: 1.5854e-05 lr: 3.2594e-06 eta: 11:39:34 time: 2.0495 data_time: 0.1048 memory: 11922 grad_norm: 0.7671 loss: 0.2117 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1622 2024/08/17 02:55:41 - mmengine - INFO - Iter(train) [ 99600/120000] base_lr: 1.5788e-05 lr: 3.2534e-06 eta: 11:37:52 time: 2.0496 data_time: 0.1049 memory: 11740 grad_norm: 0.7665 loss: 0.2121 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1625 2024/08/17 02:57:24 - mmengine - INFO - Iter(train) [ 99650/120000] base_lr: 1.5722e-05 lr: 3.2475e-06 eta: 11:36:09 time: 2.0496 data_time: 0.1047 memory: 11955 grad_norm: 0.7665 loss: 0.2120 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1625 2024/08/17 02:59:06 - mmengine - INFO - Iter(train) [ 99700/120000] base_lr: 1.5656e-05 lr: 3.2415e-06 eta: 11:34:26 time: 2.0494 data_time: 0.1048 memory: 11546 grad_norm: 0.7660 loss: 0.2117 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1622 2024/08/17 03:00:48 - mmengine - INFO - Iter(train) [ 99750/120000] base_lr: 1.5591e-05 lr: 3.2355e-06 eta: 11:32:44 time: 2.0492 data_time: 0.1048 memory: 11862 grad_norm: 0.7666 loss: 0.2118 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1622 2024/08/17 03:02:31 - mmengine - INFO - Iter(train) [ 99800/120000] base_lr: 1.5525e-05 lr: 3.2296e-06 eta: 11:31:01 time: 2.0494 data_time: 0.1047 memory: 12034 grad_norm: 0.7669 loss: 0.2115 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1620 2024/08/17 03:04:13 - mmengine - INFO - Iter(train) [ 99850/120000] base_lr: 1.5460e-05 lr: 3.2236e-06 eta: 11:29:18 time: 2.0497 data_time: 0.1049 memory: 11900 grad_norm: 0.7667 loss: 0.2119 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1624 2024/08/17 03:05:56 - mmengine - INFO - Iter(train) [ 99900/120000] base_lr: 1.5395e-05 lr: 3.2177e-06 eta: 11:27:36 time: 2.0497 data_time: 0.1049 memory: 11619 grad_norm: 0.7666 loss: 0.2117 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1623 2024/08/17 03:07:39 - mmengine - INFO - Iter(train) [ 99950/120000] base_lr: 1.5330e-05 lr: 3.2118e-06 eta: 11:25:53 time: 2.0500 data_time: 0.1048 memory: 11670 grad_norm: 0.7670 loss: 0.2115 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1621 2024/08/17 03:09:21 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 03:09:21 - mmengine - INFO - Iter(train) [100000/120000] base_lr: 1.5265e-05 lr: 3.2059e-06 eta: 11:24:10 time: 2.0498 data_time: 0.1049 memory: 11785 grad_norm: 0.7673 loss: 0.2119 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1624 2024/08/17 03:09:21 - mmengine - INFO - Saving checkpoint at 100000 iterations 2024/08/17 03:09:48 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:19 time: 0.4495 data_time: 0.0179 memory: 5705 2024/08/17 03:10:11 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:57 time: 0.4496 data_time: 0.0179 memory: 5705 2024/08/17 03:10:33 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:33 time: 0.4495 data_time: 0.0179 memory: 5705 2024/08/17 03:10:55 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:10 time: 0.4495 data_time: 0.0180 memory: 5705 2024/08/17 03:11:17 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:47 time: 0.4493 data_time: 0.0179 memory: 5705 2024/08/17 03:11:40 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:25 time: 0.4493 data_time: 0.0178 memory: 5705 2024/08/17 03:12:02 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:03 time: 0.4493 data_time: 0.0178 memory: 5705 2024/08/17 03:12:25 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:40 time: 0.4494 data_time: 0.0178 memory: 5705 2024/08/17 03:12:47 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:18 time: 0.4493 data_time: 0.0177 memory: 5705 2024/08/17 03:13:09 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:55 time: 0.4493 data_time: 0.0177 memory: 5705 2024/08/17 03:13:32 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:33 time: 0.4493 data_time: 0.0177 memory: 5705 2024/08/17 03:13:54 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.4494 data_time: 0.0178 memory: 5705 2024/08/17 03:14:12 - mmengine - INFO - Evaluating segm... 2024/08/17 03:14:35 - mmengine - INFO - segm_mAP_copypaste: 0.408 0.615 0.444 0.204 0.460 0.609 2024/08/17 03:14:36 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.4080 coco/segm_mAP_50: 0.6150 coco/segm_mAP_75: 0.4440 coco/segm_mAP_s: 0.2040 coco/segm_mAP_m: 0.4600 coco/segm_mAP_l: 0.6090 data_time: 0.0177 time: 0.4481 2024/08/17 03:16:18 - mmengine - INFO - Iter(train) [100050/120000] base_lr: 1.5200e-05 lr: 3.2000e-06 eta: 11:22:36 time: 2.0560 data_time: 0.1113 memory: 11613 grad_norm: 0.7675 loss: 0.2122 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1627 2024/08/17 03:18:00 - mmengine - INFO - Iter(train) [100100/120000] base_lr: 1.5135e-05 lr: 3.1941e-06 eta: 11:20:53 time: 2.0558 data_time: 0.1114 memory: 11821 grad_norm: 0.7678 loss: 0.2123 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1628 2024/08/17 03:19:42 - mmengine - INFO - Iter(train) [100150/120000] base_lr: 1.5071e-05 lr: 3.1883e-06 eta: 11:19:10 time: 2.0557 data_time: 0.1115 memory: 11774 grad_norm: 0.7679 loss: 0.2122 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1626 2024/08/17 03:21:24 - mmengine - INFO - Iter(train) [100200/120000] base_lr: 1.5007e-05 lr: 3.1824e-06 eta: 11:17:27 time: 2.0558 data_time: 0.1116 memory: 11653 grad_norm: 0.7679 loss: 0.2122 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1626 2024/08/17 03:23:06 - mmengine - INFO - Iter(train) [100250/120000] base_lr: 1.4943e-05 lr: 3.1766e-06 eta: 11:15:44 time: 2.0557 data_time: 0.1116 memory: 11679 grad_norm: 0.7679 loss: 0.2122 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1627 2024/08/17 03:24:47 - mmengine - INFO - Iter(train) [100300/120000] base_lr: 1.4879e-05 lr: 3.1708e-06 eta: 11:14:01 time: 2.0554 data_time: 0.1115 memory: 11613 grad_norm: 0.7682 loss: 0.2121 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1627 2024/08/17 03:26:29 - mmengine - INFO - Iter(train) [100350/120000] base_lr: 1.4815e-05 lr: 3.1650e-06 eta: 11:12:19 time: 2.0556 data_time: 0.1116 memory: 11867 grad_norm: 0.7682 loss: 0.2121 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1626 2024/08/17 03:28:11 - mmengine - INFO - Iter(train) [100400/120000] base_lr: 1.4751e-05 lr: 3.1592e-06 eta: 11:10:36 time: 2.0555 data_time: 0.1116 memory: 11638 grad_norm: 0.7680 loss: 0.2121 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1626 2024/08/17 03:29:52 - mmengine - INFO - Iter(train) [100450/120000] base_lr: 1.4688e-05 lr: 3.1534e-06 eta: 11:08:53 time: 2.0552 data_time: 0.1116 memory: 11887 grad_norm: 0.7670 loss: 0.2120 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1624 2024/08/17 03:31:34 - mmengine - INFO - Iter(train) [100500/120000] base_lr: 1.4624e-05 lr: 3.1477e-06 eta: 11:07:10 time: 2.0551 data_time: 0.1116 memory: 11787 grad_norm: 0.7670 loss: 0.2123 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1627 2024/08/17 03:33:16 - mmengine - INFO - Iter(train) [100550/120000] base_lr: 1.4561e-05 lr: 3.1419e-06 eta: 11:05:27 time: 2.0552 data_time: 0.1117 memory: 11830 grad_norm: 0.7672 loss: 0.2121 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1626 2024/08/17 03:34:58 - mmengine - INFO - Iter(train) [100600/120000] base_lr: 1.4498e-05 lr: 3.1362e-06 eta: 11:03:44 time: 2.0553 data_time: 0.1115 memory: 11728 grad_norm: 0.7678 loss: 0.2113 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1620 2024/08/17 03:36:40 - mmengine - INFO - Iter(train) [100650/120000] base_lr: 1.4435e-05 lr: 3.1304e-06 eta: 11:02:01 time: 2.0553 data_time: 0.1115 memory: 11663 grad_norm: 0.7675 loss: 0.2111 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1618 2024/08/17 03:38:23 - mmengine - INFO - Iter(train) [100700/120000] base_lr: 1.4372e-05 lr: 3.1247e-06 eta: 11:00:19 time: 2.0552 data_time: 0.1114 memory: 11602 grad_norm: 0.7682 loss: 0.2110 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1616 2024/08/17 03:40:04 - mmengine - INFO - Iter(train) [100750/120000] base_lr: 1.4309e-05 lr: 3.1190e-06 eta: 10:58:36 time: 2.0551 data_time: 0.1116 memory: 11827 grad_norm: 0.7679 loss: 0.2114 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1620 2024/08/17 03:41:47 - mmengine - INFO - Iter(train) [100800/120000] base_lr: 1.4247e-05 lr: 3.1134e-06 eta: 10:56:53 time: 2.0551 data_time: 0.1117 memory: 11857 grad_norm: 0.7681 loss: 0.2111 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1618 2024/08/17 03:43:30 - mmengine - INFO - Iter(train) [100850/120000] base_lr: 1.4185e-05 lr: 3.1077e-06 eta: 10:55:11 time: 2.0555 data_time: 0.1118 memory: 11804 grad_norm: 0.7680 loss: 0.2110 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1616 2024/08/17 03:45:11 - mmengine - INFO - Iter(train) [100900/120000] base_lr: 1.4122e-05 lr: 3.1020e-06 eta: 10:53:28 time: 2.0555 data_time: 0.1118 memory: 11711 grad_norm: 0.7686 loss: 0.2109 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1616 2024/08/17 03:46:54 - mmengine - INFO - Iter(train) [100950/120000] base_lr: 1.4060e-05 lr: 3.0964e-06 eta: 10:51:45 time: 2.0558 data_time: 0.1119 memory: 12257 grad_norm: 0.7691 loss: 0.2110 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1617 2024/08/17 03:48:36 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 03:48:36 - mmengine - INFO - Iter(train) [101000/120000] base_lr: 1.3998e-05 lr: 3.0908e-06 eta: 10:50:02 time: 2.0556 data_time: 0.1121 memory: 11671 grad_norm: 0.7693 loss: 0.2117 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1623 2024/08/17 03:48:36 - mmengine - INFO - Saving checkpoint at 101000 iterations 2024/08/17 03:50:23 - mmengine - INFO - Iter(train) [101050/120000] base_lr: 1.3937e-05 lr: 3.0851e-06 eta: 10:48:21 time: 2.0558 data_time: 0.1121 memory: 11591 grad_norm: 0.7697 loss: 0.2114 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1620 2024/08/17 03:52:06 - mmengine - INFO - Iter(train) [101100/120000] base_lr: 1.3875e-05 lr: 3.0795e-06 eta: 10:46:38 time: 2.0560 data_time: 0.1120 memory: 12020 grad_norm: 0.7695 loss: 0.2111 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1618 2024/08/17 03:53:47 - mmengine - INFO - Iter(train) [101150/120000] base_lr: 1.3813e-05 lr: 3.0740e-06 eta: 10:44:55 time: 2.0560 data_time: 0.1122 memory: 11676 grad_norm: 0.7697 loss: 0.2113 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1620 2024/08/17 03:55:30 - mmengine - INFO - Iter(train) [101200/120000] base_lr: 1.3752e-05 lr: 3.0684e-06 eta: 10:43:12 time: 2.0560 data_time: 0.1122 memory: 11552 grad_norm: 0.7700 loss: 0.2112 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1619 2024/08/17 03:57:12 - mmengine - INFO - Iter(train) [101250/120000] base_lr: 1.3691e-05 lr: 3.0628e-06 eta: 10:41:30 time: 2.0558 data_time: 0.1124 memory: 12231 grad_norm: 0.7696 loss: 0.2112 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1619 2024/08/17 03:58:54 - mmengine - INFO - Iter(train) [101300/120000] base_lr: 1.3630e-05 lr: 3.0573e-06 eta: 10:39:47 time: 2.0559 data_time: 0.1129 memory: 12065 grad_norm: 0.7696 loss: 0.2121 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1627 2024/08/17 04:00:36 - mmengine - INFO - Iter(train) [101350/120000] base_lr: 1.3569e-05 lr: 3.0517e-06 eta: 10:38:04 time: 2.0560 data_time: 0.1130 memory: 11722 grad_norm: 0.7699 loss: 0.2120 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1626 2024/08/17 04:02:18 - mmengine - INFO - Iter(train) [101400/120000] base_lr: 1.3508e-05 lr: 3.0462e-06 eta: 10:36:21 time: 2.0561 data_time: 0.1129 memory: 11672 grad_norm: 0.7696 loss: 0.2118 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1624 2024/08/17 04:04:00 - mmengine - INFO - Iter(train) [101450/120000] base_lr: 1.3448e-05 lr: 3.0407e-06 eta: 10:34:39 time: 2.0561 data_time: 0.1132 memory: 11594 grad_norm: 0.7699 loss: 0.2120 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1626 2024/08/17 04:05:42 - mmengine - INFO - Iter(train) [101500/120000] base_lr: 1.3387e-05 lr: 3.0352e-06 eta: 10:32:56 time: 2.0560 data_time: 0.1132 memory: 11889 grad_norm: 0.7702 loss: 0.2119 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1625 2024/08/17 04:07:24 - mmengine - INFO - Iter(train) [101550/120000] base_lr: 1.3327e-05 lr: 3.0297e-06 eta: 10:31:13 time: 2.0560 data_time: 0.1132 memory: 11722 grad_norm: 0.7692 loss: 0.2118 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1624 2024/08/17 04:09:07 - mmengine - INFO - Iter(train) [101600/120000] base_lr: 1.3267e-05 lr: 3.0243e-06 eta: 10:29:30 time: 2.0563 data_time: 0.1134 memory: 11556 grad_norm: 0.7697 loss: 0.2119 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1626 2024/08/17 04:10:49 - mmengine - INFO - Iter(train) [101650/120000] base_lr: 1.3207e-05 lr: 3.0188e-06 eta: 10:27:48 time: 2.0561 data_time: 0.1138 memory: 11992 grad_norm: 0.7696 loss: 0.2123 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1629 2024/08/17 04:12:31 - mmengine - INFO - Iter(train) [101700/120000] base_lr: 1.3147e-05 lr: 3.0134e-06 eta: 10:26:05 time: 2.0560 data_time: 0.1135 memory: 11596 grad_norm: 0.7701 loss: 0.2117 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1624 2024/08/17 04:14:13 - mmengine - INFO - Iter(train) [101750/120000] base_lr: 1.3088e-05 lr: 3.0080e-06 eta: 10:24:22 time: 2.0557 data_time: 0.1138 memory: 11647 grad_norm: 0.7702 loss: 0.2118 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1625 2024/08/17 04:15:54 - mmengine - INFO - Iter(train) [101800/120000] base_lr: 1.3028e-05 lr: 3.0026e-06 eta: 10:22:39 time: 2.0554 data_time: 0.1140 memory: 11698 grad_norm: 0.7705 loss: 0.2122 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1627 2024/08/17 04:17:35 - mmengine - INFO - Iter(train) [101850/120000] base_lr: 1.2969e-05 lr: 2.9972e-06 eta: 10:20:56 time: 2.0552 data_time: 0.1139 memory: 11631 grad_norm: 0.7704 loss: 0.2118 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1624 2024/08/17 04:19:17 - mmengine - INFO - Iter(train) [101900/120000] base_lr: 1.2910e-05 lr: 2.9918e-06 eta: 10:19:13 time: 2.0551 data_time: 0.1139 memory: 11722 grad_norm: 0.7701 loss: 0.2118 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1624 2024/08/17 04:21:00 - mmengine - INFO - Iter(train) [101950/120000] base_lr: 1.2850e-05 lr: 2.9864e-06 eta: 10:17:31 time: 2.0553 data_time: 0.1140 memory: 12051 grad_norm: 0.7702 loss: 0.2115 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1622 2024/08/17 04:22:42 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 04:22:42 - mmengine - INFO - Iter(train) [102000/120000] base_lr: 1.2792e-05 lr: 2.9810e-06 eta: 10:15:48 time: 2.0554 data_time: 0.1138 memory: 11982 grad_norm: 0.7706 loss: 0.2110 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1618 2024/08/17 04:22:42 - mmengine - INFO - Saving checkpoint at 102000 iterations 2024/08/17 04:24:29 - mmengine - INFO - Iter(train) [102050/120000] base_lr: 1.2733e-05 lr: 2.9757e-06 eta: 10:14:06 time: 2.0554 data_time: 0.1141 memory: 11977 grad_norm: 0.7707 loss: 0.2113 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1621 2024/08/17 04:26:11 - mmengine - INFO - Iter(train) [102100/120000] base_lr: 1.2674e-05 lr: 2.9704e-06 eta: 10:12:23 time: 2.0554 data_time: 0.1142 memory: 11728 grad_norm: 0.7707 loss: 0.2118 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1625 2024/08/17 04:27:52 - mmengine - INFO - Iter(train) [102150/120000] base_lr: 1.2616e-05 lr: 2.9651e-06 eta: 10:10:40 time: 2.0553 data_time: 0.1142 memory: 11731 grad_norm: 0.7702 loss: 0.2117 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1624 2024/08/17 04:29:34 - mmengine - INFO - Iter(train) [102200/120000] base_lr: 1.2557e-05 lr: 2.9598e-06 eta: 10:08:58 time: 2.0551 data_time: 0.1141 memory: 12179 grad_norm: 0.7703 loss: 0.2110 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1618 2024/08/17 04:31:16 - mmengine - INFO - Iter(train) [102250/120000] base_lr: 1.2499e-05 lr: 2.9545e-06 eta: 10:07:15 time: 2.0548 data_time: 0.1141 memory: 12572 grad_norm: 0.7700 loss: 0.2107 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1614 2024/08/17 04:32:59 - mmengine - INFO - Iter(train) [102300/120000] base_lr: 1.2441e-05 lr: 2.9492e-06 eta: 10:05:32 time: 2.0549 data_time: 0.1140 memory: 11802 grad_norm: 0.7706 loss: 0.2106 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1614 2024/08/17 04:34:41 - mmengine - INFO - Iter(train) [102350/120000] base_lr: 1.2383e-05 lr: 2.9439e-06 eta: 10:03:50 time: 2.0548 data_time: 0.1141 memory: 11980 grad_norm: 0.7711 loss: 0.2108 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1615 2024/08/17 04:36:24 - mmengine - INFO - Iter(train) [102400/120000] base_lr: 1.2326e-05 lr: 2.9387e-06 eta: 10:02:07 time: 2.0548 data_time: 0.1141 memory: 11727 grad_norm: 0.7716 loss: 0.2109 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1617 2024/08/17 04:38:05 - mmengine - INFO - Iter(train) [102450/120000] base_lr: 1.2268e-05 lr: 2.9335e-06 eta: 10:00:24 time: 2.0547 data_time: 0.1143 memory: 11569 grad_norm: 0.7721 loss: 0.2114 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1622 2024/08/17 04:39:47 - mmengine - INFO - Iter(train) [102500/120000] base_lr: 1.2211e-05 lr: 2.9282e-06 eta: 9:58:41 time: 2.0546 data_time: 0.1144 memory: 11645 grad_norm: 0.7727 loss: 0.2116 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1623 2024/08/17 04:41:29 - mmengine - INFO - Iter(train) [102550/120000] base_lr: 1.2154e-05 lr: 2.9230e-06 eta: 9:56:58 time: 2.0544 data_time: 0.1145 memory: 11573 grad_norm: 0.7731 loss: 0.2116 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1623 2024/08/17 04:43:11 - mmengine - INFO - Iter(train) [102600/120000] base_lr: 1.2096e-05 lr: 2.9179e-06 eta: 9:55:15 time: 2.0542 data_time: 0.1144 memory: 11615 grad_norm: 0.7735 loss: 0.2115 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1622 2024/08/17 04:44:53 - mmengine - INFO - Iter(train) [102650/120000] base_lr: 1.2039e-05 lr: 2.9127e-06 eta: 9:53:33 time: 2.0542 data_time: 0.1144 memory: 11722 grad_norm: 0.7736 loss: 0.2115 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1622 2024/08/17 04:46:34 - mmengine - INFO - Iter(train) [102700/120000] base_lr: 1.1983e-05 lr: 2.9075e-06 eta: 9:51:50 time: 2.0537 data_time: 0.1146 memory: 11772 grad_norm: 0.7743 loss: 0.2120 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1625 2024/08/17 04:48:16 - mmengine - INFO - Iter(train) [102750/120000] base_lr: 1.1926e-05 lr: 2.9024e-06 eta: 9:50:07 time: 2.0535 data_time: 0.1146 memory: 11886 grad_norm: 0.7744 loss: 0.2121 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1626 2024/08/17 04:49:58 - mmengine - INFO - Iter(train) [102800/120000] base_lr: 1.1870e-05 lr: 2.8972e-06 eta: 9:48:24 time: 2.0536 data_time: 0.1147 memory: 11845 grad_norm: 0.7748 loss: 0.2120 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1625 2024/08/17 04:51:41 - mmengine - INFO - Iter(train) [102850/120000] base_lr: 1.1813e-05 lr: 2.8921e-06 eta: 9:46:42 time: 2.0536 data_time: 0.1149 memory: 11885 grad_norm: 0.7753 loss: 0.2120 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1626 2024/08/17 04:53:23 - mmengine - INFO - Iter(train) [102900/120000] base_lr: 1.1757e-05 lr: 2.8870e-06 eta: 9:44:59 time: 2.0535 data_time: 0.1150 memory: 11650 grad_norm: 0.7752 loss: 0.2122 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1627 2024/08/17 04:55:05 - mmengine - INFO - Iter(train) [102950/120000] base_lr: 1.1701e-05 lr: 2.8819e-06 eta: 9:43:16 time: 2.0532 data_time: 0.1151 memory: 11831 grad_norm: 0.7757 loss: 0.2122 instance_segmentation_loss_cls: 0.0348 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1627 2024/08/17 04:56:47 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 04:56:47 - mmengine - INFO - Iter(train) [103000/120000] base_lr: 1.1645e-05 lr: 2.8768e-06 eta: 9:41:33 time: 2.0531 data_time: 0.1150 memory: 11687 grad_norm: 0.7755 loss: 0.2118 instance_segmentation_loss_cls: 0.0347 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1624 2024/08/17 04:56:47 - mmengine - INFO - Saving checkpoint at 103000 iterations 2024/08/17 04:58:34 - mmengine - INFO - Iter(train) [103050/120000] base_lr: 1.1589e-05 lr: 2.8718e-06 eta: 9:39:52 time: 2.0531 data_time: 0.1149 memory: 11686 grad_norm: 0.7756 loss: 0.2115 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1623 2024/08/17 05:00:16 - mmengine - INFO - Iter(train) [103100/120000] base_lr: 1.1534e-05 lr: 2.8667e-06 eta: 9:38:09 time: 2.0531 data_time: 0.1150 memory: 11576 grad_norm: 0.7762 loss: 0.2116 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1622 2024/08/17 05:01:58 - mmengine - INFO - Iter(train) [103150/120000] base_lr: 1.1478e-05 lr: 2.8617e-06 eta: 9:36:26 time: 2.0532 data_time: 0.1154 memory: 11924 grad_norm: 0.7756 loss: 0.2119 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0148 instance_segmentation_loss_dice: 0.1625 2024/08/17 05:03:40 - mmengine - INFO - Iter(train) [103200/120000] base_lr: 1.1423e-05 lr: 2.8567e-06 eta: 9:34:43 time: 2.0529 data_time: 0.1153 memory: 11752 grad_norm: 0.7755 loss: 0.2117 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1623 2024/08/17 05:05:21 - mmengine - INFO - Iter(train) [103250/120000] base_lr: 1.1368e-05 lr: 2.8516e-06 eta: 9:33:00 time: 2.0527 data_time: 0.1151 memory: 11919 grad_norm: 0.7764 loss: 0.2113 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1620 2024/08/17 05:07:03 - mmengine - INFO - Iter(train) [103300/120000] base_lr: 1.1313e-05 lr: 2.8467e-06 eta: 9:31:18 time: 2.0525 data_time: 0.1150 memory: 11782 grad_norm: 0.7757 loss: 0.2108 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1616 2024/08/17 05:08:44 - mmengine - INFO - Iter(train) [103350/120000] base_lr: 1.1258e-05 lr: 2.8417e-06 eta: 9:29:35 time: 2.0524 data_time: 0.1150 memory: 11555 grad_norm: 0.7753 loss: 0.2107 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1615 2024/08/17 05:10:26 - mmengine - INFO - Iter(train) [103400/120000] base_lr: 1.1204e-05 lr: 2.8367e-06 eta: 9:27:52 time: 2.0522 data_time: 0.1149 memory: 11532 grad_norm: 0.7754 loss: 0.2102 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1611 2024/08/17 05:12:08 - mmengine - INFO - Iter(train) [103450/120000] base_lr: 1.1149e-05 lr: 2.8317e-06 eta: 9:26:09 time: 2.0521 data_time: 0.1150 memory: 12037 grad_norm: 0.7765 loss: 0.2104 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1613 2024/08/17 05:13:50 - mmengine - INFO - Iter(train) [103500/120000] base_lr: 1.1095e-05 lr: 2.8268e-06 eta: 9:24:26 time: 2.0522 data_time: 0.1149 memory: 11804 grad_norm: 0.7763 loss: 0.2099 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1609 2024/08/17 05:15:33 - mmengine - INFO - Iter(train) [103550/120000] base_lr: 1.1041e-05 lr: 2.8219e-06 eta: 9:22:44 time: 2.0522 data_time: 0.1150 memory: 11654 grad_norm: 0.7763 loss: 0.2097 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1607 2024/08/17 05:17:15 - mmengine - INFO - Iter(train) [103600/120000] base_lr: 1.0987e-05 lr: 2.8170e-06 eta: 9:21:01 time: 2.0521 data_time: 0.1152 memory: 11856 grad_norm: 0.7772 loss: 0.2098 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1609 2024/08/17 05:18:56 - mmengine - INFO - Iter(train) [103650/120000] base_lr: 1.0933e-05 lr: 2.8121e-06 eta: 9:19:18 time: 2.0517 data_time: 0.1152 memory: 12073 grad_norm: 0.7776 loss: 0.2098 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1608 2024/08/17 05:20:38 - mmengine - INFO - Iter(train) [103700/120000] base_lr: 1.0879e-05 lr: 2.8072e-06 eta: 9:17:35 time: 2.0516 data_time: 0.1153 memory: 11891 grad_norm: 0.7780 loss: 0.2102 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1612 2024/08/17 05:22:21 - mmengine - INFO - Iter(train) [103750/120000] base_lr: 1.0826e-05 lr: 2.8023e-06 eta: 9:15:53 time: 2.0517 data_time: 0.1153 memory: 11906 grad_norm: 0.7776 loss: 0.2098 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1609 2024/08/17 05:24:03 - mmengine - INFO - Iter(train) [103800/120000] base_lr: 1.0772e-05 lr: 2.7975e-06 eta: 9:14:10 time: 2.0516 data_time: 0.1155 memory: 11968 grad_norm: 0.7770 loss: 0.2103 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1613 2024/08/17 05:25:45 - mmengine - INFO - Iter(train) [103850/120000] base_lr: 1.0719e-05 lr: 2.7926e-06 eta: 9:12:27 time: 2.0515 data_time: 0.1154 memory: 11542 grad_norm: 0.7778 loss: 0.2100 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1610 2024/08/17 05:27:27 - mmengine - INFO - Iter(train) [103900/120000] base_lr: 1.0666e-05 lr: 2.7878e-06 eta: 9:10:45 time: 2.0514 data_time: 0.1156 memory: 11779 grad_norm: 0.7776 loss: 0.2105 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1614 2024/08/17 05:29:09 - mmengine - INFO - Iter(train) [103950/120000] base_lr: 1.0613e-05 lr: 2.7830e-06 eta: 9:09:02 time: 2.0511 data_time: 0.1158 memory: 11766 grad_norm: 0.7769 loss: 0.2110 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1618 2024/08/17 05:30:50 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 05:30:50 - mmengine - INFO - Iter(train) [104000/120000] base_lr: 1.0560e-05 lr: 2.7782e-06 eta: 9:07:19 time: 2.0510 data_time: 0.1156 memory: 11864 grad_norm: 0.7766 loss: 0.2101 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1611 2024/08/17 05:30:50 - mmengine - INFO - Saving checkpoint at 104000 iterations 2024/08/17 05:32:38 - mmengine - INFO - Iter(train) [104050/120000] base_lr: 1.0507e-05 lr: 2.7734e-06 eta: 9:05:37 time: 2.0448 data_time: 0.1092 memory: 11699 grad_norm: 0.7762 loss: 0.2096 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1607 2024/08/17 05:34:19 - mmengine - INFO - Iter(train) [104100/120000] base_lr: 1.0455e-05 lr: 2.7686e-06 eta: 9:03:54 time: 2.0447 data_time: 0.1091 memory: 11787 grad_norm: 0.7765 loss: 0.2093 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1605 2024/08/17 05:36:01 - mmengine - INFO - Iter(train) [104150/120000] base_lr: 1.0403e-05 lr: 2.7639e-06 eta: 9:02:12 time: 2.0447 data_time: 0.1091 memory: 11574 grad_norm: 0.7764 loss: 0.2095 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1606 2024/08/17 05:37:42 - mmengine - INFO - Iter(train) [104200/120000] base_lr: 1.0350e-05 lr: 2.7591e-06 eta: 9:00:29 time: 2.0443 data_time: 0.1092 memory: 12509 grad_norm: 0.7767 loss: 0.2097 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1608 2024/08/17 05:39:24 - mmengine - INFO - Iter(train) [104250/120000] base_lr: 1.0298e-05 lr: 2.7544e-06 eta: 8:58:46 time: 2.0443 data_time: 0.1093 memory: 11755 grad_norm: 0.7770 loss: 0.2098 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1609 2024/08/17 05:41:05 - mmengine - INFO - Iter(train) [104300/120000] base_lr: 1.0247e-05 lr: 2.7497e-06 eta: 8:57:03 time: 2.0444 data_time: 0.1092 memory: 11619 grad_norm: 0.7767 loss: 0.2098 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1608 2024/08/17 05:42:48 - mmengine - INFO - Iter(train) [104350/120000] base_lr: 1.0195e-05 lr: 2.7450e-06 eta: 8:55:20 time: 2.0444 data_time: 0.1092 memory: 11555 grad_norm: 0.7770 loss: 0.2099 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1609 2024/08/17 05:44:30 - mmengine - INFO - Iter(train) [104400/120000] base_lr: 1.0143e-05 lr: 2.7403e-06 eta: 8:53:38 time: 2.0446 data_time: 0.1092 memory: 11588 grad_norm: 0.7779 loss: 0.2100 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1611 2024/08/17 05:46:12 - mmengine - INFO - Iter(train) [104450/120000] base_lr: 1.0092e-05 lr: 2.7356e-06 eta: 8:51:55 time: 2.0447 data_time: 0.1093 memory: 11825 grad_norm: 0.7785 loss: 0.2099 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1610 2024/08/17 05:47:54 - mmengine - INFO - Iter(train) [104500/120000] base_lr: 1.0041e-05 lr: 2.7310e-06 eta: 8:50:12 time: 2.0448 data_time: 0.1095 memory: 11778 grad_norm: 0.7783 loss: 0.2098 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1609 2024/08/17 05:49:37 - mmengine - INFO - Iter(train) [104550/120000] base_lr: 9.9896e-06 lr: 2.7263e-06 eta: 8:48:30 time: 2.0450 data_time: 0.1095 memory: 11653 grad_norm: 0.7784 loss: 0.2098 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1609 2024/08/17 05:51:19 - mmengine - INFO - Iter(train) [104600/120000] base_lr: 9.9387e-06 lr: 2.7217e-06 eta: 8:46:47 time: 2.0449 data_time: 0.1097 memory: 11603 grad_norm: 0.7778 loss: 0.2102 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1612 2024/08/17 05:53:02 - mmengine - INFO - Iter(train) [104650/120000] base_lr: 9.8879e-06 lr: 2.7171e-06 eta: 8:45:04 time: 2.0452 data_time: 0.1097 memory: 11689 grad_norm: 0.7781 loss: 0.2100 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1610 2024/08/17 05:54:44 - mmengine - INFO - Iter(train) [104700/120000] base_lr: 9.8373e-06 lr: 2.7125e-06 eta: 8:43:22 time: 2.0450 data_time: 0.1097 memory: 11602 grad_norm: 0.7770 loss: 0.2097 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1608 2024/08/17 05:56:26 - mmengine - INFO - Iter(train) [104750/120000] base_lr: 9.7869e-06 lr: 2.7079e-06 eta: 8:41:39 time: 2.0452 data_time: 0.1097 memory: 11949 grad_norm: 0.7769 loss: 0.2095 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1606 2024/08/17 05:58:07 - mmengine - INFO - Iter(train) [104800/120000] base_lr: 9.7366e-06 lr: 2.7033e-06 eta: 8:39:56 time: 2.0449 data_time: 0.1096 memory: 11532 grad_norm: 0.7771 loss: 0.2095 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1606 2024/08/17 05:59:50 - mmengine - INFO - Iter(train) [104850/120000] base_lr: 9.6864e-06 lr: 2.6988e-06 eta: 8:38:13 time: 2.0448 data_time: 0.1096 memory: 11746 grad_norm: 0.7770 loss: 0.2095 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1606 2024/08/17 06:01:32 - mmengine - INFO - Iter(train) [104900/120000] base_lr: 9.6364e-06 lr: 2.6942e-06 eta: 8:36:31 time: 2.0449 data_time: 0.1096 memory: 11692 grad_norm: 0.7770 loss: 0.2097 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1607 2024/08/17 06:03:14 - mmengine - INFO - Iter(train) [104950/120000] base_lr: 9.5866e-06 lr: 2.6897e-06 eta: 8:34:48 time: 2.0449 data_time: 0.1095 memory: 11718 grad_norm: 0.7767 loss: 0.2094 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1604 2024/08/17 06:04:57 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 06:04:57 - mmengine - INFO - Iter(train) [105000/120000] base_lr: 9.5369e-06 lr: 2.6852e-06 eta: 8:33:05 time: 2.0450 data_time: 0.1094 memory: 11612 grad_norm: 0.7774 loss: 0.2092 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1603 2024/08/17 06:04:57 - mmengine - INFO - Saving checkpoint at 105000 iterations 2024/08/17 06:05:24 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:18 time: 0.4495 data_time: 0.0179 memory: 5705 2024/08/17 06:05:47 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:56 time: 0.4497 data_time: 0.0179 memory: 5705 2024/08/17 06:06:09 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:32 time: 0.4496 data_time: 0.0179 memory: 5705 2024/08/17 06:06:31 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:10 time: 0.4495 data_time: 0.0179 memory: 5705 2024/08/17 06:06:54 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:47 time: 0.4494 data_time: 0.0179 memory: 5705 2024/08/17 06:07:16 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:25 time: 0.4494 data_time: 0.0178 memory: 5705 2024/08/17 06:07:38 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:03 time: 0.4493 data_time: 0.0178 memory: 5705 2024/08/17 06:08:01 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:40 time: 0.4493 data_time: 0.0178 memory: 5705 2024/08/17 06:08:22 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:18 time: 0.4490 data_time: 0.0176 memory: 5705 2024/08/17 06:08:44 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:55 time: 0.4489 data_time: 0.0176 memory: 5705 2024/08/17 06:09:07 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:33 time: 0.4488 data_time: 0.0176 memory: 5705 2024/08/17 06:09:30 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.4488 data_time: 0.0177 memory: 5705 2024/08/17 06:09:47 - mmengine - INFO - Evaluating segm... 2024/08/17 06:10:11 - mmengine - INFO - segm_mAP_copypaste: 0.409 0.616 0.445 0.203 0.462 0.611 2024/08/17 06:10:11 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.4090 coco/segm_mAP_50: 0.6160 coco/segm_mAP_75: 0.4450 coco/segm_mAP_s: 0.2030 coco/segm_mAP_m: 0.4620 coco/segm_mAP_l: 0.6110 data_time: 0.0172 time: 0.4465 2024/08/17 06:11:54 - mmengine - INFO - Iter(train) [105050/120000] base_lr: 9.4874e-06 lr: 2.6807e-06 eta: 8:31:28 time: 2.0513 data_time: 0.1158 memory: 12007 grad_norm: 0.7769 loss: 0.2093 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1605 2024/08/17 06:13:37 - mmengine - INFO - Iter(train) [105100/120000] base_lr: 9.4380e-06 lr: 2.6762e-06 eta: 8:29:46 time: 2.0516 data_time: 0.1158 memory: 11536 grad_norm: 0.7778 loss: 0.2094 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1605 2024/08/17 06:15:20 - mmengine - INFO - Iter(train) [105150/120000] base_lr: 9.3888e-06 lr: 2.6717e-06 eta: 8:28:03 time: 2.0518 data_time: 0.1156 memory: 11568 grad_norm: 0.7778 loss: 0.2091 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1602 2024/08/17 06:17:02 - mmengine - INFO - Iter(train) [105200/120000] base_lr: 9.3398e-06 lr: 2.6673e-06 eta: 8:26:20 time: 2.0518 data_time: 0.1156 memory: 11691 grad_norm: 0.7774 loss: 0.2087 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1599 2024/08/17 06:18:44 - mmengine - INFO - Iter(train) [105250/120000] base_lr: 9.2909e-06 lr: 2.6628e-06 eta: 8:24:38 time: 2.0519 data_time: 0.1154 memory: 11868 grad_norm: 0.7780 loss: 0.2085 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1597 2024/08/17 06:20:28 - mmengine - INFO - Iter(train) [105300/120000] base_lr: 9.2422e-06 lr: 2.6584e-06 eta: 8:22:55 time: 2.0521 data_time: 0.1149 memory: 11828 grad_norm: 0.7783 loss: 0.2074 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1587 2024/08/17 06:22:10 - mmengine - INFO - Iter(train) [105350/120000] base_lr: 9.1936e-06 lr: 2.6540e-06 eta: 8:21:13 time: 2.0522 data_time: 0.1149 memory: 11573 grad_norm: 0.7775 loss: 0.2074 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1588 2024/08/17 06:23:53 - mmengine - INFO - Iter(train) [105400/120000] base_lr: 9.1452e-06 lr: 2.6496e-06 eta: 8:19:30 time: 2.0525 data_time: 0.1151 memory: 12019 grad_norm: 0.7772 loss: 0.2074 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1588 2024/08/17 06:25:37 - mmengine - INFO - Iter(train) [105450/120000] base_lr: 9.0969e-06 lr: 2.6452e-06 eta: 8:17:47 time: 2.0529 data_time: 0.1151 memory: 12186 grad_norm: 0.7770 loss: 0.2074 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1588 2024/08/17 06:27:20 - mmengine - INFO - Iter(train) [105500/120000] base_lr: 9.0488e-06 lr: 2.6408e-06 eta: 8:16:05 time: 2.0533 data_time: 0.1152 memory: 11605 grad_norm: 0.7767 loss: 0.2071 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1586 2024/08/17 06:29:04 - mmengine - INFO - Iter(train) [105550/120000] base_lr: 9.0009e-06 lr: 2.6364e-06 eta: 8:14:23 time: 2.0538 data_time: 0.1152 memory: 11544 grad_norm: 0.7767 loss: 0.2072 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1586 2024/08/17 06:30:47 - mmengine - INFO - Iter(train) [105600/120000] base_lr: 8.9531e-06 lr: 2.6321e-06 eta: 8:12:40 time: 2.0538 data_time: 0.1152 memory: 11678 grad_norm: 0.7770 loss: 0.2075 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1589 2024/08/17 06:32:30 - mmengine - INFO - Iter(train) [105650/120000] base_lr: 8.9055e-06 lr: 2.6278e-06 eta: 8:10:57 time: 2.0540 data_time: 0.1149 memory: 11795 grad_norm: 0.7778 loss: 0.2069 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1584 2024/08/17 06:34:12 - mmengine - INFO - Iter(train) [105700/120000] base_lr: 8.8580e-06 lr: 2.6235e-06 eta: 8:09:15 time: 2.0541 data_time: 0.1151 memory: 11698 grad_norm: 0.7773 loss: 0.2076 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1590 2024/08/17 06:35:55 - mmengine - INFO - Iter(train) [105750/120000] base_lr: 8.8107e-06 lr: 2.6192e-06 eta: 8:07:32 time: 2.0544 data_time: 0.1152 memory: 11760 grad_norm: 0.7769 loss: 0.2079 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1593 2024/08/17 06:37:38 - mmengine - INFO - Iter(train) [105800/120000] base_lr: 8.7635e-06 lr: 2.6149e-06 eta: 8:05:49 time: 2.0548 data_time: 0.1152 memory: 11748 grad_norm: 0.7764 loss: 0.2080 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1594 2024/08/17 06:39:20 - mmengine - INFO - Iter(train) [105850/120000] base_lr: 8.7165e-06 lr: 2.6106e-06 eta: 8:04:07 time: 2.0550 data_time: 0.1153 memory: 11779 grad_norm: 0.7761 loss: 0.2079 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1594 2024/08/17 06:41:02 - mmengine - INFO - Iter(train) [105900/120000] base_lr: 8.6697e-06 lr: 2.6063e-06 eta: 8:02:24 time: 2.0551 data_time: 0.1154 memory: 11881 grad_norm: 0.7757 loss: 0.2081 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1596 2024/08/17 06:42:46 - mmengine - INFO - Iter(train) [105950/120000] base_lr: 8.6230e-06 lr: 2.6021e-06 eta: 8:00:41 time: 2.0551 data_time: 0.1153 memory: 11555 grad_norm: 0.7757 loss: 0.2083 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1597 2024/08/17 06:44:28 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 06:44:28 - mmengine - INFO - Iter(train) [106000/120000] base_lr: 8.5765e-06 lr: 2.5979e-06 eta: 7:58:59 time: 2.0552 data_time: 0.1155 memory: 11576 grad_norm: 0.7753 loss: 0.2088 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1601 2024/08/17 06:44:28 - mmengine - INFO - Saving checkpoint at 106000 iterations 2024/08/17 06:46:16 - mmengine - INFO - Iter(train) [106050/120000] base_lr: 8.5301e-06 lr: 2.5936e-06 eta: 7:57:17 time: 2.0556 data_time: 0.1154 memory: 11876 grad_norm: 0.7757 loss: 0.2086 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1599 2024/08/17 06:47:59 - mmengine - INFO - Iter(train) [106100/120000] base_lr: 8.4839e-06 lr: 2.5894e-06 eta: 7:55:35 time: 2.0559 data_time: 0.1154 memory: 11536 grad_norm: 0.7754 loss: 0.2082 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1596 2024/08/17 06:49:43 - mmengine - INFO - Iter(train) [106150/120000] base_lr: 8.4378e-06 lr: 2.5853e-06 eta: 7:53:52 time: 2.0563 data_time: 0.1155 memory: 12048 grad_norm: 0.7759 loss: 0.2079 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1594 2024/08/17 06:51:26 - mmengine - INFO - Iter(train) [106200/120000] base_lr: 8.3920e-06 lr: 2.5811e-06 eta: 7:52:09 time: 2.0566 data_time: 0.1156 memory: 11709 grad_norm: 0.7757 loss: 0.2083 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1598 2024/08/17 06:53:09 - mmengine - INFO - Iter(train) [106250/120000] base_lr: 8.3462e-06 lr: 2.5769e-06 eta: 7:50:27 time: 2.0568 data_time: 0.1156 memory: 11613 grad_norm: 0.7760 loss: 0.2085 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1599 2024/08/17 06:54:52 - mmengine - INFO - Iter(train) [106300/120000] base_lr: 8.3007e-06 lr: 2.5728e-06 eta: 7:48:44 time: 2.0570 data_time: 0.1157 memory: 12200 grad_norm: 0.7754 loss: 0.2087 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1601 2024/08/17 06:56:34 - mmengine - INFO - Iter(train) [106350/120000] base_lr: 8.2552e-06 lr: 2.5687e-06 eta: 7:47:02 time: 2.0568 data_time: 0.1156 memory: 11564 grad_norm: 0.7751 loss: 0.2083 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1598 2024/08/17 06:58:17 - mmengine - INFO - Iter(train) [106400/120000] base_lr: 8.2100e-06 lr: 2.5645e-06 eta: 7:45:19 time: 2.0571 data_time: 0.1156 memory: 12002 grad_norm: 0.7748 loss: 0.2081 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1596 2024/08/17 07:00:00 - mmengine - INFO - Iter(train) [106450/120000] base_lr: 8.1649e-06 lr: 2.5604e-06 eta: 7:43:36 time: 2.0574 data_time: 0.1157 memory: 11707 grad_norm: 0.7743 loss: 0.2081 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1596 2024/08/17 07:01:42 - mmengine - INFO - Iter(train) [106500/120000] base_lr: 8.1200e-06 lr: 2.5564e-06 eta: 7:41:54 time: 2.0576 data_time: 0.1157 memory: 11900 grad_norm: 0.7737 loss: 0.2083 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1597 2024/08/17 07:03:26 - mmengine - INFO - Iter(train) [106550/120000] base_lr: 8.0752e-06 lr: 2.5523e-06 eta: 7:40:11 time: 2.0579 data_time: 0.1158 memory: 11835 grad_norm: 0.7735 loss: 0.2083 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1597 2024/08/17 07:05:08 - mmengine - INFO - Iter(train) [106600/120000] base_lr: 8.0306e-06 lr: 2.5482e-06 eta: 7:38:29 time: 2.0582 data_time: 0.1159 memory: 11536 grad_norm: 0.7727 loss: 0.2085 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1599 2024/08/17 07:06:51 - mmengine - INFO - Iter(train) [106650/120000] base_lr: 7.9861e-06 lr: 2.5442e-06 eta: 7:36:46 time: 2.0584 data_time: 0.1159 memory: 11576 grad_norm: 0.7727 loss: 0.2084 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1599 2024/08/17 07:08:34 - mmengine - INFO - Iter(train) [106700/120000] base_lr: 7.9418e-06 lr: 2.5402e-06 eta: 7:35:03 time: 2.0589 data_time: 0.1159 memory: 11981 grad_norm: 0.7727 loss: 0.2079 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1594 2024/08/17 07:10:18 - mmengine - INFO - Iter(train) [106750/120000] base_lr: 7.8977e-06 lr: 2.5362e-06 eta: 7:33:21 time: 2.0593 data_time: 0.1159 memory: 12042 grad_norm: 0.7722 loss: 0.2076 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1592 2024/08/17 07:12:01 - mmengine - INFO - Iter(train) [106800/120000] base_lr: 7.8537e-06 lr: 2.5322e-06 eta: 7:31:38 time: 2.0596 data_time: 0.1159 memory: 11913 grad_norm: 0.7719 loss: 0.2082 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1597 2024/08/17 07:13:45 - mmengine - INFO - Iter(train) [106850/120000] base_lr: 7.8099e-06 lr: 2.5282e-06 eta: 7:29:56 time: 2.0596 data_time: 0.1159 memory: 11811 grad_norm: 0.7716 loss: 0.2081 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1596 2024/08/17 07:15:27 - mmengine - INFO - Iter(train) [106900/120000] base_lr: 7.7662e-06 lr: 2.5242e-06 eta: 7:28:13 time: 2.0598 data_time: 0.1160 memory: 11675 grad_norm: 0.7712 loss: 0.2083 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1598 2024/08/17 07:17:10 - mmengine - INFO - Iter(train) [106950/120000] base_lr: 7.7227e-06 lr: 2.5202e-06 eta: 7:26:30 time: 2.0600 data_time: 0.1160 memory: 11695 grad_norm: 0.7711 loss: 0.2086 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1601 2024/08/17 07:18:53 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 07:18:53 - mmengine - INFO - Iter(train) [107000/120000] base_lr: 7.6794e-06 lr: 2.5163e-06 eta: 7:24:48 time: 2.0603 data_time: 0.1160 memory: 11571 grad_norm: 0.7710 loss: 0.2088 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1603 2024/08/17 07:18:53 - mmengine - INFO - Saving checkpoint at 107000 iterations 2024/08/17 07:20:41 - mmengine - INFO - Iter(train) [107050/120000] base_lr: 7.6362e-06 lr: 2.5124e-06 eta: 7:23:06 time: 2.0606 data_time: 0.1161 memory: 11857 grad_norm: 0.7703 loss: 0.2091 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1605 2024/08/17 07:22:24 - mmengine - INFO - Iter(train) [107100/120000] base_lr: 7.5932e-06 lr: 2.5085e-06 eta: 7:21:24 time: 2.0608 data_time: 0.1159 memory: 11536 grad_norm: 0.7695 loss: 0.2084 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1599 2024/08/17 07:24:07 - mmengine - INFO - Iter(train) [107150/120000] base_lr: 7.5503e-06 lr: 2.5046e-06 eta: 7:19:41 time: 2.0609 data_time: 0.1157 memory: 11536 grad_norm: 0.7702 loss: 0.2083 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1598 2024/08/17 07:25:49 - mmengine - INFO - Iter(train) [107200/120000] base_lr: 7.5076e-06 lr: 2.5007e-06 eta: 7:17:58 time: 2.0612 data_time: 0.1157 memory: 11723 grad_norm: 0.7697 loss: 0.2085 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1599 2024/08/17 07:27:32 - mmengine - INFO - Iter(train) [107250/120000] base_lr: 7.4651e-06 lr: 2.4968e-06 eta: 7:16:15 time: 2.0613 data_time: 0.1159 memory: 11936 grad_norm: 0.7691 loss: 0.2088 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1602 2024/08/17 07:29:14 - mmengine - INFO - Iter(train) [107300/120000] base_lr: 7.4227e-06 lr: 2.4930e-06 eta: 7:14:33 time: 2.0615 data_time: 0.1159 memory: 11694 grad_norm: 0.7694 loss: 0.2091 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1605 2024/08/17 07:30:57 - mmengine - INFO - Iter(train) [107350/120000] base_lr: 7.3804e-06 lr: 2.4891e-06 eta: 7:12:50 time: 2.0620 data_time: 0.1159 memory: 11596 grad_norm: 0.7699 loss: 0.2093 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1607 2024/08/17 07:32:40 - mmengine - INFO - Iter(train) [107400/120000] base_lr: 7.3384e-06 lr: 2.4853e-06 eta: 7:11:08 time: 2.0622 data_time: 0.1160 memory: 11733 grad_norm: 0.7699 loss: 0.2095 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1608 2024/08/17 07:34:23 - mmengine - INFO - Iter(train) [107450/120000] base_lr: 7.2965e-06 lr: 2.4815e-06 eta: 7:09:25 time: 2.0624 data_time: 0.1159 memory: 12310 grad_norm: 0.7694 loss: 0.2091 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1604 2024/08/17 07:36:07 - mmengine - INFO - Iter(train) [107500/120000] base_lr: 7.2548e-06 lr: 2.4777e-06 eta: 7:07:43 time: 2.0629 data_time: 0.1161 memory: 12149 grad_norm: 0.7700 loss: 0.2095 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1608 2024/08/17 07:37:50 - mmengine - INFO - Iter(train) [107550/120000] base_lr: 7.2132e-06 lr: 2.4739e-06 eta: 7:06:00 time: 2.0631 data_time: 0.1161 memory: 12168 grad_norm: 0.7706 loss: 0.2099 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1612 2024/08/17 07:39:33 - mmengine - INFO - Iter(train) [107600/120000] base_lr: 7.1718e-06 lr: 2.4702e-06 eta: 7:04:17 time: 2.0634 data_time: 0.1160 memory: 11831 grad_norm: 0.7701 loss: 0.2096 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1609 2024/08/17 07:41:16 - mmengine - INFO - Iter(train) [107650/120000] base_lr: 7.1305e-06 lr: 2.4664e-06 eta: 7:02:35 time: 2.0636 data_time: 0.1160 memory: 12215 grad_norm: 0.7702 loss: 0.2095 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1608 2024/08/17 07:42:59 - mmengine - INFO - Iter(train) [107700/120000] base_lr: 7.0894e-06 lr: 2.4627e-06 eta: 7:00:52 time: 2.0639 data_time: 0.1161 memory: 11606 grad_norm: 0.7700 loss: 0.2095 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1608 2024/08/17 07:44:41 - mmengine - INFO - Iter(train) [107750/120000] base_lr: 7.0485e-06 lr: 2.4590e-06 eta: 6:59:09 time: 2.0638 data_time: 0.1160 memory: 11613 grad_norm: 0.7708 loss: 0.2099 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1610 2024/08/17 07:46:23 - mmengine - INFO - Iter(train) [107800/120000] base_lr: 7.0077e-06 lr: 2.4552e-06 eta: 6:57:27 time: 2.0636 data_time: 0.1160 memory: 11579 grad_norm: 0.7713 loss: 0.2096 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1608 2024/08/17 07:48:05 - mmengine - INFO - Iter(train) [107850/120000] base_lr: 6.9671e-06 lr: 2.4516e-06 eta: 6:55:44 time: 2.0639 data_time: 0.1158 memory: 12170 grad_norm: 0.7710 loss: 0.2091 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1604 2024/08/17 07:49:48 - mmengine - INFO - Iter(train) [107900/120000] base_lr: 6.9266e-06 lr: 2.4479e-06 eta: 6:54:01 time: 2.0640 data_time: 0.1157 memory: 11597 grad_norm: 0.7711 loss: 0.2088 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1601 2024/08/17 07:51:31 - mmengine - INFO - Iter(train) [107950/120000] base_lr: 6.8863e-06 lr: 2.4442e-06 eta: 6:52:19 time: 2.0643 data_time: 0.1156 memory: 11782 grad_norm: 0.7718 loss: 0.2083 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1596 2024/08/17 07:53:14 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 07:53:14 - mmengine - INFO - Iter(train) [108000/120000] base_lr: 6.8462e-06 lr: 2.4406e-06 eta: 6:50:36 time: 2.0648 data_time: 0.1157 memory: 11536 grad_norm: 0.7718 loss: 0.2085 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1598 2024/08/17 07:53:14 - mmengine - INFO - Saving checkpoint at 108000 iterations 2024/08/17 07:55:02 - mmengine - INFO - Iter(train) [108050/120000] base_lr: 6.8062e-06 lr: 2.4369e-06 eta: 6:48:54 time: 2.0649 data_time: 0.1157 memory: 11957 grad_norm: 0.7719 loss: 0.2084 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1597 2024/08/17 07:56:46 - mmengine - INFO - Iter(train) [108100/120000] base_lr: 6.7664e-06 lr: 2.4333e-06 eta: 6:47:12 time: 2.0653 data_time: 0.1159 memory: 12067 grad_norm: 0.7717 loss: 0.2087 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1599 2024/08/17 07:58:28 - mmengine - INFO - Iter(train) [108150/120000] base_lr: 6.7268e-06 lr: 2.4297e-06 eta: 6:45:29 time: 2.0655 data_time: 0.1160 memory: 11641 grad_norm: 0.7719 loss: 0.2089 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1602 2024/08/17 08:00:11 - mmengine - INFO - Iter(train) [108200/120000] base_lr: 6.6873e-06 lr: 2.4261e-06 eta: 6:43:46 time: 2.0659 data_time: 0.1158 memory: 11553 grad_norm: 0.7714 loss: 0.2086 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1600 2024/08/17 08:01:54 - mmengine - INFO - Iter(train) [108250/120000] base_lr: 6.6480e-06 lr: 2.4225e-06 eta: 6:42:04 time: 2.0665 data_time: 0.1158 memory: 12126 grad_norm: 0.7713 loss: 0.2085 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1598 2024/08/17 08:03:37 - mmengine - INFO - Iter(train) [108300/120000] base_lr: 6.6088e-06 lr: 2.4190e-06 eta: 6:40:21 time: 2.0667 data_time: 0.1158 memory: 11907 grad_norm: 0.7717 loss: 0.2082 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1596 2024/08/17 08:05:20 - mmengine - INFO - Iter(train) [108350/120000] base_lr: 6.5698e-06 lr: 2.4154e-06 eta: 6:38:39 time: 2.0669 data_time: 0.1159 memory: 11748 grad_norm: 0.7714 loss: 0.2082 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1596 2024/08/17 08:07:03 - mmengine - INFO - Iter(train) [108400/120000] base_lr: 6.5310e-06 lr: 2.4119e-06 eta: 6:36:56 time: 2.0671 data_time: 0.1156 memory: 11536 grad_norm: 0.7713 loss: 0.2080 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1595 2024/08/17 08:08:45 - mmengine - INFO - Iter(train) [108450/120000] base_lr: 6.4923e-06 lr: 2.4084e-06 eta: 6:35:13 time: 2.0671 data_time: 0.1156 memory: 11797 grad_norm: 0.7711 loss: 0.2083 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1597 2024/08/17 08:10:29 - mmengine - INFO - Iter(train) [108500/120000] base_lr: 6.4538e-06 lr: 2.4049e-06 eta: 6:33:31 time: 2.0673 data_time: 0.1153 memory: 11702 grad_norm: 0.7712 loss: 0.2079 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1593 2024/08/17 08:12:12 - mmengine - INFO - Iter(train) [108550/120000] base_lr: 6.4154e-06 lr: 2.4014e-06 eta: 6:31:48 time: 2.0675 data_time: 0.1154 memory: 11672 grad_norm: 0.7711 loss: 0.2077 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1592 2024/08/17 08:13:55 - mmengine - INFO - Iter(train) [108600/120000] base_lr: 6.3773e-06 lr: 2.3979e-06 eta: 6:30:05 time: 2.0676 data_time: 0.1155 memory: 12471 grad_norm: 0.7715 loss: 0.2079 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1593 2024/08/17 08:15:37 - mmengine - INFO - Iter(train) [108650/120000] base_lr: 6.3392e-06 lr: 2.3945e-06 eta: 6:28:23 time: 2.0676 data_time: 0.1154 memory: 11919 grad_norm: 0.7721 loss: 0.2078 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1593 2024/08/17 08:17:20 - mmengine - INFO - Iter(train) [108700/120000] base_lr: 6.3014e-06 lr: 2.3910e-06 eta: 6:26:40 time: 2.0677 data_time: 0.1155 memory: 11912 grad_norm: 0.7719 loss: 0.2079 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1595 2024/08/17 08:19:03 - mmengine - INFO - Iter(train) [108750/120000] base_lr: 6.2637e-06 lr: 2.3876e-06 eta: 6:24:58 time: 2.0680 data_time: 0.1155 memory: 11895 grad_norm: 0.7720 loss: 0.2080 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1595 2024/08/17 08:20:47 - mmengine - INFO - Iter(train) [108800/120000] base_lr: 6.2261e-06 lr: 2.3842e-06 eta: 6:23:15 time: 2.0686 data_time: 0.1156 memory: 11545 grad_norm: 0.7720 loss: 0.2079 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1594 2024/08/17 08:22:30 - mmengine - INFO - Iter(train) [108850/120000] base_lr: 6.1887e-06 lr: 2.3808e-06 eta: 6:21:32 time: 2.0687 data_time: 0.1156 memory: 11920 grad_norm: 0.7720 loss: 0.2079 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1594 2024/08/17 08:24:13 - mmengine - INFO - Iter(train) [108900/120000] base_lr: 6.1515e-06 lr: 2.3774e-06 eta: 6:19:50 time: 2.0691 data_time: 0.1156 memory: 11605 grad_norm: 0.7712 loss: 0.2080 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1595 2024/08/17 08:25:56 - mmengine - INFO - Iter(train) [108950/120000] base_lr: 6.1145e-06 lr: 2.3740e-06 eta: 6:18:07 time: 2.0691 data_time: 0.1157 memory: 11928 grad_norm: 0.7714 loss: 0.2082 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1598 2024/08/17 08:27:39 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 08:27:39 - mmengine - INFO - Iter(train) [109000/120000] base_lr: 6.0776e-06 lr: 2.3707e-06 eta: 6:16:25 time: 2.0692 data_time: 0.1159 memory: 11853 grad_norm: 0.7706 loss: 0.2085 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1599 2024/08/17 08:27:39 - mmengine - INFO - Saving checkpoint at 109000 iterations 2024/08/17 08:29:26 - mmengine - INFO - Iter(train) [109050/120000] base_lr: 6.0409e-06 lr: 2.3674e-06 eta: 6:14:43 time: 2.0629 data_time: 0.1096 memory: 11814 grad_norm: 0.7705 loss: 0.2088 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1602 2024/08/17 08:31:09 - mmengine - INFO - Iter(train) [109100/120000] base_lr: 6.0043e-06 lr: 2.3640e-06 eta: 6:13:00 time: 2.0629 data_time: 0.1096 memory: 11536 grad_norm: 0.7701 loss: 0.2087 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1602 2024/08/17 08:32:53 - mmengine - INFO - Iter(train) [109150/120000] base_lr: 5.9679e-06 lr: 2.3607e-06 eta: 6:11:17 time: 2.0630 data_time: 0.1098 memory: 11733 grad_norm: 0.7706 loss: 0.2089 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1603 2024/08/17 08:34:36 - mmengine - INFO - Iter(train) [109200/120000] base_lr: 5.9316e-06 lr: 2.3574e-06 eta: 6:09:35 time: 2.0633 data_time: 0.1098 memory: 11740 grad_norm: 0.7712 loss: 0.2090 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1604 2024/08/17 08:36:18 - mmengine - INFO - Iter(train) [109250/120000] base_lr: 5.8956e-06 lr: 2.3541e-06 eta: 6:07:52 time: 2.0633 data_time: 0.1098 memory: 11716 grad_norm: 0.7711 loss: 0.2090 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1603 2024/08/17 08:38:01 - mmengine - INFO - Iter(train) [109300/120000] base_lr: 5.8597e-06 lr: 2.3509e-06 eta: 6:06:09 time: 2.0633 data_time: 0.1101 memory: 11657 grad_norm: 0.7707 loss: 0.2096 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1608 2024/08/17 08:39:44 - mmengine - INFO - Iter(train) [109350/120000] base_lr: 5.8239e-06 lr: 2.3476e-06 eta: 6:04:27 time: 2.0634 data_time: 0.1102 memory: 11825 grad_norm: 0.7711 loss: 0.2098 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1610 2024/08/17 08:41:27 - mmengine - INFO - Iter(train) [109400/120000] base_lr: 5.7883e-06 lr: 2.3444e-06 eta: 6:02:44 time: 2.0633 data_time: 0.1103 memory: 11994 grad_norm: 0.7710 loss: 0.2100 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1611 2024/08/17 08:43:10 - mmengine - INFO - Iter(train) [109450/120000] base_lr: 5.7529e-06 lr: 2.3412e-06 eta: 6:01:02 time: 2.0631 data_time: 0.1103 memory: 11988 grad_norm: 0.7716 loss: 0.2105 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1615 2024/08/17 08:44:53 - mmengine - INFO - Iter(train) [109500/120000] base_lr: 5.7176e-06 lr: 2.3380e-06 eta: 5:59:19 time: 2.0629 data_time: 0.1102 memory: 12358 grad_norm: 0.7716 loss: 0.2107 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1617 2024/08/17 08:46:37 - mmengine - INFO - Iter(train) [109550/120000] base_lr: 5.6825e-06 lr: 2.3348e-06 eta: 5:57:36 time: 2.0629 data_time: 0.1104 memory: 11840 grad_norm: 0.7716 loss: 0.2109 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1620 2024/08/17 08:48:20 - mmengine - INFO - Iter(train) [109600/120000] base_lr: 5.6476e-06 lr: 2.3316e-06 eta: 5:55:54 time: 2.0631 data_time: 0.1104 memory: 11907 grad_norm: 0.7718 loss: 0.2106 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1617 2024/08/17 08:50:04 - mmengine - INFO - Iter(train) [109650/120000] base_lr: 5.6128e-06 lr: 2.3284e-06 eta: 5:54:11 time: 2.0632 data_time: 0.1105 memory: 11937 grad_norm: 0.7717 loss: 0.2108 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1618 2024/08/17 08:51:47 - mmengine - INFO - Iter(train) [109700/120000] base_lr: 5.5782e-06 lr: 2.3253e-06 eta: 5:52:29 time: 2.0634 data_time: 0.1103 memory: 11904 grad_norm: 0.7724 loss: 0.2101 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1612 2024/08/17 08:53:29 - mmengine - INFO - Iter(train) [109750/120000] base_lr: 5.5438e-06 lr: 2.3222e-06 eta: 5:50:46 time: 2.0633 data_time: 0.1101 memory: 11674 grad_norm: 0.7728 loss: 0.2096 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1607 2024/08/17 08:55:11 - mmengine - INFO - Iter(train) [109800/120000] base_lr: 5.5095e-06 lr: 2.3190e-06 eta: 5:49:03 time: 2.0632 data_time: 0.1100 memory: 11804 grad_norm: 0.7734 loss: 0.2096 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1607 2024/08/17 08:56:54 - mmengine - INFO - Iter(train) [109850/120000] base_lr: 5.4754e-06 lr: 2.3159e-06 eta: 5:47:21 time: 2.0633 data_time: 0.1101 memory: 11852 grad_norm: 0.7734 loss: 0.2097 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1607 2024/08/17 08:58:38 - mmengine - INFO - Iter(train) [109900/120000] base_lr: 5.4414e-06 lr: 2.3129e-06 eta: 5:45:38 time: 2.0636 data_time: 0.1102 memory: 11868 grad_norm: 0.7740 loss: 0.2099 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1609 2024/08/17 09:00:21 - mmengine - INFO - Iter(train) [109950/120000] base_lr: 5.4076e-06 lr: 2.3098e-06 eta: 5:43:55 time: 2.0636 data_time: 0.1103 memory: 11802 grad_norm: 0.7742 loss: 0.2100 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1610 2024/08/17 09:02:03 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 09:02:03 - mmengine - INFO - Iter(train) [110000/120000] base_lr: 5.3740e-06 lr: 2.3067e-06 eta: 5:42:13 time: 2.0637 data_time: 0.1103 memory: 11883 grad_norm: 0.7744 loss: 0.2100 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1610 2024/08/17 09:02:03 - mmengine - INFO - Saving checkpoint at 110000 iterations 2024/08/17 09:02:31 - mmengine - INFO - Iter(val) [ 50/625] eta: 0:04:21 time: 0.4488 data_time: 0.0178 memory: 5705 2024/08/17 09:02:53 - mmengine - INFO - Iter(val) [100/625] eta: 0:03:57 time: 0.4489 data_time: 0.0178 memory: 5705 2024/08/17 09:03:16 - mmengine - INFO - Iter(val) [150/625] eta: 0:03:33 time: 0.4488 data_time: 0.0178 memory: 5705 2024/08/17 09:03:38 - mmengine - INFO - Iter(val) [200/625] eta: 0:03:10 time: 0.4487 data_time: 0.0178 memory: 5705 2024/08/17 09:04:00 - mmengine - INFO - Iter(val) [250/625] eta: 0:02:47 time: 0.4486 data_time: 0.0178 memory: 5705 2024/08/17 09:04:23 - mmengine - INFO - Iter(val) [300/625] eta: 0:02:25 time: 0.4485 data_time: 0.0177 memory: 5705 2024/08/17 09:04:45 - mmengine - INFO - Iter(val) [350/625] eta: 0:02:03 time: 0.4485 data_time: 0.0177 memory: 5705 2024/08/17 09:05:07 - mmengine - INFO - Iter(val) [400/625] eta: 0:01:40 time: 0.4485 data_time: 0.0177 memory: 5705 2024/08/17 09:05:29 - mmengine - INFO - Iter(val) [450/625] eta: 0:01:18 time: 0.4483 data_time: 0.0176 memory: 5705 2024/08/17 09:05:51 - mmengine - INFO - Iter(val) [500/625] eta: 0:00:55 time: 0.4482 data_time: 0.0176 memory: 5705 2024/08/17 09:06:14 - mmengine - INFO - Iter(val) [550/625] eta: 0:00:33 time: 0.4482 data_time: 0.0176 memory: 5705 2024/08/17 09:06:36 - mmengine - INFO - Iter(val) [600/625] eta: 0:00:11 time: 0.4483 data_time: 0.0176 memory: 5705 2024/08/17 09:06:54 - mmengine - INFO - Evaluating segm... 2024/08/17 09:07:18 - mmengine - INFO - segm_mAP_copypaste: 0.409 0.616 0.447 0.204 0.462 0.613 2024/08/17 09:07:18 - mmengine - INFO - Iter(val) [625/625] coco/segm_mAP: 0.4090 coco/segm_mAP_50: 0.6160 coco/segm_mAP_75: 0.4470 coco/segm_mAP_s: 0.2040 coco/segm_mAP_m: 0.4620 coco/segm_mAP_l: 0.6130 data_time: 0.0178 time: 0.4473 2024/08/17 09:09:01 - mmengine - INFO - Iter(train) [110050/120000] base_lr: 5.3406e-06 lr: 2.3037e-06 eta: 5:40:34 time: 2.0699 data_time: 0.1168 memory: 11587 grad_norm: 0.7746 loss: 0.2101 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1610 2024/08/17 09:10:44 - mmengine - INFO - Iter(train) [110100/120000] base_lr: 5.3073e-06 lr: 2.3007e-06 eta: 5:38:51 time: 2.0699 data_time: 0.1171 memory: 12052 grad_norm: 0.7745 loss: 0.2108 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1615 2024/08/17 09:12:27 - mmengine - INFO - Iter(train) [110150/120000] base_lr: 5.2741e-06 lr: 2.2976e-06 eta: 5:37:08 time: 2.0698 data_time: 0.1170 memory: 11614 grad_norm: 0.7743 loss: 0.2108 instance_segmentation_loss_cls: 0.0346 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1616 2024/08/17 09:14:10 - mmengine - INFO - Iter(train) [110200/120000] base_lr: 5.2412e-06 lr: 2.2947e-06 eta: 5:35:26 time: 2.0698 data_time: 0.1166 memory: 11543 grad_norm: 0.7744 loss: 0.2100 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1609 2024/08/17 09:15:53 - mmengine - INFO - Iter(train) [110250/120000] base_lr: 5.2083e-06 lr: 2.2917e-06 eta: 5:33:43 time: 2.0697 data_time: 0.1165 memory: 11673 grad_norm: 0.7739 loss: 0.2097 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1606 2024/08/17 09:17:36 - mmengine - INFO - Iter(train) [110300/120000] base_lr: 5.1757e-06 lr: 2.2887e-06 eta: 5:32:00 time: 2.0697 data_time: 0.1163 memory: 11799 grad_norm: 0.7739 loss: 0.2093 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1603 2024/08/17 09:19:18 - mmengine - INFO - Iter(train) [110350/120000] base_lr: 5.1432e-06 lr: 2.2857e-06 eta: 5:30:18 time: 2.0697 data_time: 0.1164 memory: 11677 grad_norm: 0.7738 loss: 0.2098 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1607 2024/08/17 09:21:01 - mmengine - INFO - Iter(train) [110400/120000] base_lr: 5.1109e-06 lr: 2.2828e-06 eta: 5:28:35 time: 2.0697 data_time: 0.1165 memory: 11872 grad_norm: 0.7740 loss: 0.2099 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1608 2024/08/17 09:22:44 - mmengine - INFO - Iter(train) [110450/120000] base_lr: 5.0788e-06 lr: 2.2799e-06 eta: 5:26:52 time: 2.0697 data_time: 0.1164 memory: 11561 grad_norm: 0.7750 loss: 0.2098 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1607 2024/08/17 09:24:26 - mmengine - INFO - Iter(train) [110500/120000] base_lr: 5.0468e-06 lr: 2.2770e-06 eta: 5:25:10 time: 2.0696 data_time: 0.1163 memory: 12088 grad_norm: 0.7756 loss: 0.2097 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1606 2024/08/17 09:26:09 - mmengine - INFO - Iter(train) [110550/120000] base_lr: 5.0150e-06 lr: 2.2741e-06 eta: 5:23:27 time: 2.0696 data_time: 0.1165 memory: 12011 grad_norm: 0.7751 loss: 0.2102 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1611 2024/08/17 09:27:51 - mmengine - INFO - Iter(train) [110600/120000] base_lr: 4.9833e-06 lr: 2.2712e-06 eta: 5:21:44 time: 2.0694 data_time: 0.1165 memory: 11642 grad_norm: 0.7752 loss: 0.2099 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1608 2024/08/17 09:29:34 - mmengine - INFO - Iter(train) [110650/120000] base_lr: 4.9518e-06 lr: 2.2683e-06 eta: 5:20:01 time: 2.0693 data_time: 0.1163 memory: 11570 grad_norm: 0.7758 loss: 0.2099 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1607 2024/08/17 09:31:17 - mmengine - INFO - Iter(train) [110700/120000] base_lr: 4.9205e-06 lr: 2.2655e-06 eta: 5:18:19 time: 2.0693 data_time: 0.1160 memory: 11535 grad_norm: 0.7760 loss: 0.2098 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1606 2024/08/17 09:33:00 - mmengine - INFO - Iter(train) [110750/120000] base_lr: 4.8893e-06 lr: 2.2627e-06 eta: 5:16:36 time: 2.0694 data_time: 0.1162 memory: 11877 grad_norm: 0.7770 loss: 0.2102 instance_segmentation_loss_cls: 0.0345 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1610 2024/08/17 09:34:43 - mmengine - INFO - Iter(train) [110800/120000] base_lr: 4.8583e-06 lr: 2.2598e-06 eta: 5:14:54 time: 2.0691 data_time: 0.1159 memory: 11560 grad_norm: 0.7774 loss: 0.2092 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1602 2024/08/17 09:36:26 - mmengine - INFO - Iter(train) [110850/120000] base_lr: 4.8275e-06 lr: 2.2570e-06 eta: 5:13:11 time: 2.0689 data_time: 0.1159 memory: 11884 grad_norm: 0.7776 loss: 0.2092 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1601 2024/08/17 09:38:09 - mmengine - INFO - Iter(train) [110900/120000] base_lr: 4.7968e-06 lr: 2.2543e-06 eta: 5:11:28 time: 2.0690 data_time: 0.1158 memory: 11651 grad_norm: 0.7780 loss: 0.2090 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0147 instance_segmentation_loss_dice: 0.1599 2024/08/17 09:39:51 - mmengine - INFO - Iter(train) [110950/120000] base_lr: 4.7663e-06 lr: 2.2515e-06 eta: 5:09:45 time: 2.0690 data_time: 0.1157 memory: 11645 grad_norm: 0.7779 loss: 0.2085 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1594 2024/08/17 09:41:34 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 09:41:34 - mmengine - INFO - Iter(train) [111000/120000] base_lr: 4.7360e-06 lr: 2.2487e-06 eta: 5:08:03 time: 2.0687 data_time: 0.1157 memory: 11641 grad_norm: 0.7784 loss: 0.2084 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1594 2024/08/17 09:41:34 - mmengine - INFO - Saving checkpoint at 111000 iterations 2024/08/17 09:43:21 - mmengine - INFO - Iter(train) [111050/120000] base_lr: 4.7058e-06 lr: 2.2460e-06 eta: 5:06:21 time: 2.0686 data_time: 0.1157 memory: 11746 grad_norm: 0.7791 loss: 0.2086 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1596 2024/08/17 09:45:04 - mmengine - INFO - Iter(train) [111100/120000] base_lr: 4.6758e-06 lr: 2.2433e-06 eta: 5:04:38 time: 2.0687 data_time: 0.1159 memory: 11619 grad_norm: 0.7789 loss: 0.2089 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1600 2024/08/17 09:46:46 - mmengine - INFO - Iter(train) [111150/120000] base_lr: 4.6460e-06 lr: 2.2405e-06 eta: 5:02:55 time: 2.0685 data_time: 0.1161 memory: 11600 grad_norm: 0.7788 loss: 0.2093 instance_segmentation_loss_cls: 0.0344 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1603 2024/08/17 09:48:29 - mmengine - INFO - Iter(train) [111200/120000] base_lr: 4.6163e-06 lr: 2.2378e-06 eta: 5:01:12 time: 2.0686 data_time: 0.1161 memory: 11680 grad_norm: 0.7792 loss: 0.2089 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1600 2024/08/17 09:50:11 - mmengine - INFO - Iter(train) [111250/120000] base_lr: 4.5868e-06 lr: 2.2352e-06 eta: 4:59:30 time: 2.0686 data_time: 0.1160 memory: 11908 grad_norm: 0.7794 loss: 0.2083 instance_segmentation_loss_cls: 0.0343 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1595 2024/08/17 09:51:55 - mmengine - INFO - Iter(train) [111300/120000] base_lr: 4.5574e-06 lr: 2.2325e-06 eta: 4:57:47 time: 2.0687 data_time: 0.1159 memory: 11698 grad_norm: 0.7793 loss: 0.2081 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0146 instance_segmentation_loss_dice: 0.1593 2024/08/17 09:53:37 - 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mmengine - INFO - Iter(train) [111750/120000] base_lr: 4.3007e-06 lr: 2.2092e-06 eta: 4:42:23 time: 2.0682 data_time: 0.1153 memory: 11707 grad_norm: 0.7769 loss: 0.2068 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1583 2024/08/17 10:09:02 - mmengine - INFO - Iter(train) [111800/120000] base_lr: 4.2730e-06 lr: 2.2066e-06 eta: 4:40:40 time: 2.0686 data_time: 0.1153 memory: 11941 grad_norm: 0.7771 loss: 0.2069 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1584 2024/08/17 10:10:45 - mmengine - INFO - Iter(train) [111850/120000] base_lr: 4.2455e-06 lr: 2.2041e-06 eta: 4:38:58 time: 2.0685 data_time: 0.1153 memory: 11889 grad_norm: 0.7774 loss: 0.2069 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1584 2024/08/17 10:12:28 - mmengine - INFO - Iter(train) [111900/120000] base_lr: 4.2182e-06 lr: 2.2017e-06 eta: 4:37:15 time: 2.0687 data_time: 0.1155 memory: 12022 grad_norm: 0.7772 loss: 0.2074 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1589 2024/08/17 10:14:11 - mmengine - INFO - Iter(train) [111950/120000] base_lr: 4.1910e-06 lr: 2.1992e-06 eta: 4:35:32 time: 2.0687 data_time: 0.1155 memory: 11699 grad_norm: 0.7771 loss: 0.2076 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1590 2024/08/17 10:15:54 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 10:15:54 - mmengine - INFO - Iter(train) [112000/120000] base_lr: 4.1639e-06 lr: 2.1967e-06 eta: 4:33:50 time: 2.0686 data_time: 0.1157 memory: 11752 grad_norm: 0.7772 loss: 0.2078 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1592 2024/08/17 10:15:54 - mmengine - INFO - Saving checkpoint at 112000 iterations 2024/08/17 10:17:43 - mmengine - INFO - Iter(train) [112050/120000] base_lr: 4.1371e-06 lr: 2.1943e-06 eta: 4:32:08 time: 2.0689 data_time: 0.1158 memory: 11833 grad_norm: 0.7765 loss: 0.2081 instance_segmentation_loss_cls: 0.0342 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1594 2024/08/17 10:19:26 - mmengine - INFO - Iter(train) [112100/120000] base_lr: 4.1104e-06 lr: 2.1919e-06 eta: 4:30:25 time: 2.0688 data_time: 0.1155 memory: 11897 grad_norm: 0.7764 loss: 0.2076 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1590 2024/08/17 10:21:08 - mmengine - INFO - Iter(train) [112150/120000] base_lr: 4.0838e-06 lr: 2.1894e-06 eta: 4:28:42 time: 2.0686 data_time: 0.1154 memory: 11857 grad_norm: 0.7757 loss: 0.2072 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1586 2024/08/17 10:22:51 - mmengine - INFO - Iter(train) [112200/120000] base_lr: 4.0575e-06 lr: 2.1870e-06 eta: 4:26:59 time: 2.0688 data_time: 0.1153 memory: 11708 grad_norm: 0.7760 loss: 0.2073 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1587 2024/08/17 10:24:35 - mmengine - INFO - Iter(train) [112250/120000] base_lr: 4.0313e-06 lr: 2.1847e-06 eta: 4:25:17 time: 2.0687 data_time: 0.1153 memory: 11582 grad_norm: 0.7765 loss: 0.2073 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1588 2024/08/17 10:26:17 - mmengine - INFO - Iter(train) [112300/120000] base_lr: 4.0052e-06 lr: 2.1823e-06 eta: 4:23:34 time: 2.0686 data_time: 0.1153 memory: 11785 grad_norm: 0.7758 loss: 0.2075 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1589 2024/08/17 10:28:00 - mmengine - INFO - Iter(train) [112350/120000] base_lr: 3.9794e-06 lr: 2.1799e-06 eta: 4:21:51 time: 2.0685 data_time: 0.1151 memory: 11645 grad_norm: 0.7753 loss: 0.2072 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1587 2024/08/17 10:29:43 - mmengine - INFO - Iter(train) [112400/120000] base_lr: 3.9537e-06 lr: 2.1776e-06 eta: 4:20:09 time: 2.0685 data_time: 0.1153 memory: 11547 grad_norm: 0.7752 loss: 0.2075 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1589 2024/08/17 10:31:25 - mmengine - INFO - Iter(train) [112450/120000] base_lr: 3.9281e-06 lr: 2.1753e-06 eta: 4:18:26 time: 2.0686 data_time: 0.1154 memory: 11785 grad_norm: 0.7757 loss: 0.2074 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1588 2024/08/17 10:33:08 - mmengine - INFO - Iter(train) [112500/120000] base_lr: 3.9028e-06 lr: 2.1730e-06 eta: 4:16:43 time: 2.0684 data_time: 0.1155 memory: 11906 grad_norm: 0.7755 loss: 0.2074 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1588 2024/08/17 10:34:51 - mmengine - INFO - Iter(train) [112550/120000] base_lr: 3.8776e-06 lr: 2.1707e-06 eta: 4:15:01 time: 2.0683 data_time: 0.1156 memory: 11941 grad_norm: 0.7748 loss: 0.2077 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1591 2024/08/17 10:36:32 - mmengine - INFO - Iter(train) [112600/120000] base_lr: 3.8525e-06 lr: 2.1684e-06 eta: 4:13:18 time: 2.0681 data_time: 0.1154 memory: 11946 grad_norm: 0.7748 loss: 0.2078 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1592 2024/08/17 10:38:15 - mmengine - INFO - Iter(train) [112650/120000] base_lr: 3.8277e-06 lr: 2.1662e-06 eta: 4:11:35 time: 2.0683 data_time: 0.1153 memory: 11535 grad_norm: 0.7743 loss: 0.2077 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1591 2024/08/17 10:39:59 - mmengine - INFO - Iter(train) [112700/120000] base_lr: 3.8030e-06 lr: 2.1639e-06 eta: 4:09:53 time: 2.0684 data_time: 0.1153 memory: 11887 grad_norm: 0.7747 loss: 0.2076 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1590 2024/08/17 10:41:42 - mmengine - INFO - Iter(train) [112750/120000] base_lr: 3.7784e-06 lr: 2.1617e-06 eta: 4:08:10 time: 2.0684 data_time: 0.1153 memory: 11542 grad_norm: 0.7747 loss: 0.2077 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1591 2024/08/17 10:43:25 - mmengine - INFO - Iter(train) [112800/120000] base_lr: 3.7540e-06 lr: 2.1595e-06 eta: 4:06:27 time: 2.0682 data_time: 0.1153 memory: 11649 grad_norm: 0.7747 loss: 0.2080 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1594 2024/08/17 10:45:08 - mmengine - INFO - Iter(train) [112850/120000] base_lr: 3.7298e-06 lr: 2.1573e-06 eta: 4:04:45 time: 2.0683 data_time: 0.1153 memory: 12384 grad_norm: 0.7749 loss: 0.2080 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1594 2024/08/17 10:46:50 - mmengine - INFO - Iter(train) [112900/120000] base_lr: 3.7058e-06 lr: 2.1551e-06 eta: 4:03:02 time: 2.0679 data_time: 0.1154 memory: 11688 grad_norm: 0.7756 loss: 0.2084 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1598 2024/08/17 10:48:33 - mmengine - INFO - Iter(train) [112950/120000] base_lr: 3.6819e-06 lr: 2.1529e-06 eta: 4:01:19 time: 2.0679 data_time: 0.1153 memory: 12069 grad_norm: 0.7754 loss: 0.2082 instance_segmentation_loss_cls: 0.0341 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1596 2024/08/17 10:50:17 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 10:50:17 - mmengine - INFO - Iter(train) [113000/120000] base_lr: 3.6582e-06 lr: 2.1507e-06 eta: 3:59:37 time: 2.0682 data_time: 0.1152 memory: 12068 grad_norm: 0.7758 loss: 0.2082 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1596 2024/08/17 10:50:17 - mmengine - INFO - Saving checkpoint at 113000 iterations 2024/08/17 10:52:05 - mmengine - INFO - Iter(train) [113050/120000] base_lr: 3.6347e-06 lr: 2.1486e-06 eta: 3:57:54 time: 2.0683 data_time: 0.1154 memory: 11789 grad_norm: 0.7766 loss: 0.2079 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1594 2024/08/17 10:53:48 - mmengine - INFO - Iter(train) [113100/120000] base_lr: 3.6113e-06 lr: 2.1465e-06 eta: 3:56:12 time: 2.0683 data_time: 0.1153 memory: 11809 grad_norm: 0.7765 loss: 0.2076 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1592 2024/08/17 10:55:30 - mmengine - INFO - Iter(train) [113150/120000] base_lr: 3.5881e-06 lr: 2.1444e-06 eta: 3:54:29 time: 2.0680 data_time: 0.1152 memory: 11576 grad_norm: 0.7765 loss: 0.2075 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1591 2024/08/17 10:57:13 - mmengine - INFO - Iter(train) [113200/120000] base_lr: 3.5651e-06 lr: 2.1423e-06 eta: 3:52:46 time: 2.0680 data_time: 0.1153 memory: 11814 grad_norm: 0.7757 loss: 0.2078 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1593 2024/08/17 10:58:55 - mmengine - INFO - Iter(train) [113250/120000] base_lr: 3.5422e-06 lr: 2.1402e-06 eta: 3:51:03 time: 2.0679 data_time: 0.1152 memory: 11597 grad_norm: 0.7757 loss: 0.2077 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_mask: 0.0145 instance_segmentation_loss_dice: 0.1593 2024/08/17 11:00:38 - mmengine - INFO - Iter(train) [113300/120000] base_lr: 3.5195e-06 lr: 2.1381e-06 eta: 3:49:21 time: 2.0679 data_time: 0.1152 memory: 11797 grad_norm: 0.7757 loss: 0.2073 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1589 2024/08/17 11:02:22 - mmengine - INFO - Iter(train) [113350/120000] base_lr: 3.4970e-06 lr: 2.1361e-06 eta: 3:47:38 time: 2.0680 data_time: 0.1152 memory: 12065 grad_norm: 0.7759 loss: 0.2070 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1588 2024/08/17 11:04:05 - mmengine - INFO - Iter(train) [113400/120000] base_lr: 3.4746e-06 lr: 2.1341e-06 eta: 3:45:56 time: 2.0681 data_time: 0.1151 memory: 11827 grad_norm: 0.7768 loss: 0.2069 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1586 2024/08/17 11:05:48 - mmengine - INFO - Iter(train) [113450/120000] base_lr: 3.4524e-06 lr: 2.1320e-06 eta: 3:44:13 time: 2.0683 data_time: 0.1150 memory: 11661 grad_norm: 0.7763 loss: 0.2061 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_mask: 0.0143 instance_segmentation_loss_dice: 0.1580 2024/08/17 11:07:33 - mmengine - INFO - Iter(train) [113500/120000] base_lr: 3.4304e-06 lr: 2.1300e-06 eta: 3:42:30 time: 2.0687 data_time: 0.1152 memory: 11942 grad_norm: 0.7770 loss: 0.2063 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_mask: 0.0143 instance_segmentation_loss_dice: 0.1582 2024/08/17 11:09:18 - mmengine - INFO - Iter(train) [113550/120000] base_lr: 3.4085e-06 lr: 2.1280e-06 eta: 3:40:48 time: 2.0691 data_time: 0.1154 memory: 11753 grad_norm: 0.7777 loss: 0.2066 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_mask: 0.0143 instance_segmentation_loss_dice: 0.1584 2024/08/17 11:11:02 - mmengine - INFO - Iter(train) [113600/120000] base_lr: 3.3868e-06 lr: 2.1261e-06 eta: 3:39:05 time: 2.0692 data_time: 0.1153 memory: 11577 grad_norm: 0.7773 loss: 0.2067 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1585 2024/08/17 11:12:47 - mmengine - INFO - Iter(train) [113650/120000] base_lr: 3.3653e-06 lr: 2.1241e-06 eta: 3:37:23 time: 2.0694 data_time: 0.1153 memory: 12018 grad_norm: 0.7765 loss: 0.2067 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1585 2024/08/17 11:14:30 - mmengine - INFO - Iter(train) [113700/120000] base_lr: 3.3439e-06 lr: 2.1222e-06 eta: 3:35:40 time: 2.0694 data_time: 0.1155 memory: 12005 grad_norm: 0.7759 loss: 0.2070 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1587 2024/08/17 11:16:13 - mmengine - INFO - Iter(train) [113750/120000] base_lr: 3.3227e-06 lr: 2.1202e-06 eta: 3:33:57 time: 2.0695 data_time: 0.1157 memory: 11603 grad_norm: 0.7757 loss: 0.2075 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1591 2024/08/17 11:17:56 - mmengine - INFO - Iter(train) [113800/120000] base_lr: 3.3017e-06 lr: 2.1183e-06 eta: 3:32:15 time: 2.0698 data_time: 0.1158 memory: 11695 grad_norm: 0.7755 loss: 0.2075 instance_segmentation_loss_cls: 0.0340 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1590 2024/08/17 11:19:39 - mmengine - INFO - Iter(train) [113850/120000] base_lr: 3.2808e-06 lr: 2.1164e-06 eta: 3:30:32 time: 2.0699 data_time: 0.1156 memory: 11619 grad_norm: 0.7757 loss: 0.2073 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1590 2024/08/17 11:21:22 - mmengine - INFO - Iter(train) [113900/120000] base_lr: 3.2601e-06 lr: 2.1146e-06 eta: 3:28:49 time: 2.0698 data_time: 0.1157 memory: 11657 grad_norm: 0.7751 loss: 0.2072 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1589 2024/08/17 11:23:07 - mmengine - INFO - Iter(train) [113950/120000] base_lr: 3.2396e-06 lr: 2.1127e-06 eta: 3:27:07 time: 2.0702 data_time: 0.1156 memory: 11754 grad_norm: 0.7752 loss: 0.2069 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1587 2024/08/17 11:24:51 - mmengine - INFO - Exp name: single_instanceseg_base_1120_prompt_beta_raw_20240815_071521 2024/08/17 11:24:51 - mmengine - INFO - Iter(train) [114000/120000] base_lr: 3.2193e-06 lr: 2.1108e-06 eta: 3:25:24 time: 2.0706 data_time: 0.1157 memory: 11883 grad_norm: 0.7761 loss: 0.2074 instance_segmentation_loss_cls: 0.0339 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1591 2024/08/17 11:24:51 - mmengine - INFO - Saving checkpoint at 114000 iterations 2024/08/17 11:26:39 - mmengine - INFO - Iter(train) [114050/120000] base_lr: 3.1991e-06 lr: 2.1090e-06 eta: 3:23:42 time: 2.0643 data_time: 0.1093 memory: 11720 grad_norm: 0.7755 loss: 0.2071 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_mask: 0.0144 instance_segmentation_loss_dice: 0.1590 2024/08/17 11:28:23 - mmengine - INFO - Iter(train) [114100/120000] base_lr: 3.1790e-06 lr: 2.1072e-06 eta: 3:21:59 time: 2.0644 data_time: 0.1092 memory: 11809 grad_norm: 0.7760 loss: 0.2064 instance_segmentation_loss_cls: 0.0337 instance_segmentation_loss_mask: 0.0143 instance_segmentation_loss_dice: 0.1583 2024/08/17 11:30:06 - mmengine - INFO - Iter(train) [114150/120000] base_lr: 3.1592e-06 lr: 2.1054e-06 eta: 3:20:16 time: 2.0644 data_time: 0.1093 memory: 11895 grad_norm: 0.7768 loss: 0.2068 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_mask: 0.0143 instance_segmentation_loss_dice: 0.1587 2024/08/17 11:31:49 - mmengine - INFO - Iter(train) [114200/120000] base_lr: 3.1395e-06 lr: 2.1036e-06 eta: 3:18:34 time: 2.0645 data_time: 0.1096 memory: 11714 grad_norm: 0.7766 loss: 0.2071 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_mask: 0.0143 instance_segmentation_loss_dice: 0.1590 2024/08/17 11:33:32 - mmengine - INFO - Iter(train) [114250/120000] base_lr: 3.1200e-06 lr: 2.1018e-06 eta: 3:16:51 time: 2.0646 data_time: 0.1097 memory: 11745 grad_norm: 0.7770 loss: 0.2073 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_mask: 0.0143 instance_segmentation_loss_dice: 0.1591 2024/08/17 11:35:15 - mmengine - INFO - Iter(train) [114300/120000] base_lr: 3.1006e-06 lr: 2.1001e-06 eta: 3:15:08 time: 2.0645 data_time: 0.1097 memory: 11589 grad_norm: 0.7769 loss: 0.2071 instance_segmentation_loss_cls: 0.0338 instance_segmentation_loss_mask: 0.0143 instance_segmentation_loss_dice: 0.1590