2022-10-26 18:14:19,305 - mmdet - INFO - Environment info: ------------------------------------------------------------ sys.platform: linux Python: 3.7.3 (default, Jan 22 2021, 20:04:44) [GCC 8.3.0] CUDA available: True GPU 0,1,2,3,4,5,6,7: NVIDIA A100 80GB PCIe CUDA_HOME: /usr/local/cuda NVCC: Cuda compilation tools, release 11.3, V11.3.109 GCC: x86_64-linux-gnu-gcc (Debian 8.3.0-6) 8.3.0 PyTorch: 1.10.0 PyTorch compiling details: PyTorch built with: - GCC 7.3 - C++ Version: 201402 - Intel(R) Math Kernel Library Version 2020.0.0 Product Build 20191122 for Intel(R) 64 architecture applications - Intel(R) MKL-DNN v2.2.3 (Git Hash 7336ca9f055cf1bfa13efb658fe15dc9b41f0740) - OpenMP 201511 (a.k.a. OpenMP 4.5) - LAPACK is enabled (usually provided by MKL) - NNPACK is enabled - CPU capability usage: AVX512 - CUDA Runtime 11.3 - NVCC architecture flags: -gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80 - CuDNN 8.2.1 - Built with CuDNN 8.2 - Magma 2.5.2 - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.2.0, CXX_COMPILER=/opt/rh/devtoolset-7/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-sign-compare -Wno-unused-parameter -Wno-unused-variable -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.10.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=ON, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, TorchVision: 0.11.1+cu113 OpenCV: 4.6.0 MMCV: 1.6.2 MMCV Compiler: GCC 9.3 MMCV CUDA Compiler: 11.3 MMDetection: 2.25.2+2ec1ca2 ------------------------------------------------------------ 2022-10-26 18:14:21,714 - mmdet - INFO - Distributed training: True 2022-10-26 18:14:23,964 - mmdet - INFO - Config: model = dict( type='SelfSupDetector', backbone=dict( type='SelfSupDETR', backbone=dict( type='ResNet', depth=50, num_stages=4, out_indices=(3, ), frozen_stages=4, norm_cfg=dict(type='BN', requires_grad=False), norm_eval=True, style='pytorch', init_cfg=dict( type='Pretrained', checkpoint='torchvision://resnet50')), bbox_head=dict( type='SelfSupDETRHead', num_classes=256, in_channels=2048, frozen_roi_proj=False, query_init_path=None, transformer=dict( type='Transformer', encoder=dict( type='DetrTransformerEncoder', num_layers=6, transformerlayers=dict( type='BaseTransformerLayer', attn_cfgs=[ dict( type='MultiheadAttention', embed_dims=256, num_heads=8, dropout=0.1) ], feedforward_channels=2048, ffn_dropout=0.1, operation_order=('self_attn', 'norm', 'ffn', 'norm'))), decoder=dict( type='DetrTransformerDecoder', return_intermediate=True, num_layers=6, transformerlayers=dict( type='DetrTransformerDecoderLayer', attn_cfgs=dict( type='MultiheadAttention', embed_dims=256, num_heads=8, dropout=0.1), feedforward_channels=2048, ffn_dropout=0.1, operation_order=('self_attn', 'norm', 'cross_attn', 'norm', 'ffn', 'norm')))), positional_encoding=dict( type='SinePositionalEncoding', num_feats=128, normalize=True), loss_cls=dict(type='ContrastiveLoss', loss_weight=1.0), loss_bbox=dict(type='L1Loss', loss_weight=5.0), loss_iou=dict(type='GIoULoss', loss_weight=2.0)), train_cfg=dict( assigner=dict( type='HungarianAssigner', cls_cost=dict(type='ClassificationCost', weight=1.0), reg_cost=dict( type='BBoxL1Cost', weight=5.0, box_format='xywh'), iou_cost=dict(type='IoUCost', iou_mode='giou', weight=2.0))), test_cfg=dict(max_per_img=100))) train_dataset_type = 'MultiViewCocoDataset' test_dataset_type = 'CocoDataset' data_root = 'data/coco/' classes = [ 'cluster_1', 'cluster_2', 'cluster_3', 'cluster_4', 'cluster_5', 'cluster_6', 'cluster_7', 'cluster_8', 'cluster_9', 'cluster_10', 'cluster_11', 'cluster_12', 'cluster_13', 'cluster_14', 'cluster_15', 'cluster_16', 'cluster_17', 'cluster_18', 'cluster_19', 'cluster_20', 'cluster_21', 'cluster_22', 'cluster_23', 'cluster_24', 'cluster_25', 'cluster_26', 'cluster_27', 'cluster_28', 'cluster_29', 'cluster_30', 'cluster_31', 'cluster_32', 'cluster_33', 'cluster_34', 'cluster_35', 'cluster_36', 'cluster_37', 'cluster_38', 'cluster_39', 'cluster_40', 'cluster_41', 'cluster_42', 'cluster_43', 'cluster_44', 'cluster_45', 'cluster_46', 'cluster_47', 'cluster_48', 'cluster_49', 'cluster_50', 'cluster_51', 'cluster_52', 'cluster_53', 'cluster_54', 'cluster_55', 'cluster_56', 'cluster_57', 'cluster_58', 'cluster_59', 'cluster_60', 'cluster_61', 'cluster_62', 'cluster_63', 'cluster_64', 'cluster_65', 'cluster_66', 'cluster_67', 'cluster_68', 'cluster_69', 'cluster_70', 'cluster_71', 'cluster_72', 'cluster_73', 'cluster_74', 'cluster_75', 'cluster_76', 'cluster_77', 'cluster_78', 'cluster_79', 'cluster_80', 'cluster_81', 'cluster_82', 'cluster_83', 'cluster_84', 'cluster_85', 'cluster_86', 'cluster_87', 'cluster_88', 'cluster_89', 'cluster_90', 'cluster_91', 'cluster_92', 'cluster_93', 'cluster_94', 'cluster_95', 'cluster_96', 'cluster_97', 'cluster_98', 'cluster_99', 'cluster_100', 'cluster_101', 'cluster_102', 'cluster_103', 'cluster_104', 'cluster_105', 'cluster_106', 'cluster_107', 'cluster_108', 'cluster_109', 'cluster_110', 'cluster_111', 'cluster_112', 'cluster_113', 'cluster_114', 'cluster_115', 'cluster_116', 'cluster_117', 'cluster_118', 'cluster_119', 'cluster_120', 'cluster_121', 'cluster_122', 'cluster_123', 'cluster_124', 'cluster_125', 'cluster_126', 'cluster_127', 'cluster_128', 'cluster_129', 'cluster_130', 'cluster_131', 'cluster_132', 'cluster_133', 'cluster_134', 'cluster_135', 'cluster_136', 'cluster_137', 'cluster_138', 'cluster_139', 'cluster_140', 'cluster_141', 'cluster_142', 'cluster_143', 'cluster_144', 'cluster_145', 'cluster_146', 'cluster_147', 'cluster_148', 'cluster_149', 'cluster_150', 'cluster_151', 'cluster_152', 'cluster_153', 'cluster_154', 'cluster_155', 'cluster_156', 'cluster_157', 'cluster_158', 'cluster_159', 'cluster_160', 'cluster_161', 'cluster_162', 'cluster_163', 'cluster_164', 'cluster_165', 'cluster_166', 'cluster_167', 'cluster_168', 'cluster_169', 'cluster_170', 'cluster_171', 'cluster_172', 'cluster_173', 'cluster_174', 'cluster_175', 'cluster_176', 'cluster_177', 'cluster_178', 'cluster_179', 'cluster_180', 'cluster_181', 'cluster_182', 'cluster_183', 'cluster_184', 'cluster_185', 'cluster_186', 'cluster_187', 'cluster_188', 'cluster_189', 'cluster_190', 'cluster_191', 'cluster_192', 'cluster_193', 'cluster_194', 'cluster_195', 'cluster_196', 'cluster_197', 'cluster_198', 'cluster_199', 'cluster_200', 'cluster_201', 'cluster_202', 'cluster_203', 'cluster_204', 'cluster_205', 'cluster_206', 'cluster_207', 'cluster_208', 'cluster_209', 'cluster_210', 'cluster_211', 'cluster_212', 'cluster_213', 'cluster_214', 'cluster_215', 'cluster_216', 'cluster_217', 'cluster_218', 'cluster_219', 'cluster_220', 'cluster_221', 'cluster_222', 'cluster_223', 'cluster_224', 'cluster_225', 'cluster_226', 'cluster_227', 'cluster_228', 'cluster_229', 'cluster_230', 'cluster_231', 'cluster_232', 'cluster_233', 'cluster_234', 'cluster_235', 'cluster_236', 'cluster_237', 'cluster_238', 'cluster_239', 'cluster_240', 'cluster_241', 'cluster_242', 'cluster_243', 'cluster_244', 'cluster_245', 'cluster_246', 'cluster_247', 'cluster_248', 'cluster_249', 'cluster_250', 'cluster_251', 'cluster_252', 'cluster_253', 'cluster_254', 'cluster_255', 'cluster_256' ] img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) load_pipeline = [ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True, with_mask=False), dict(type='SelectTopKProposals', topk=50) ] train_pipeline1 = [ dict( type='Resize', img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), (1333, 768), (1333, 800)], multiscale_mode='value', keep_ratio=True), dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), dict(type='Pad', size_divisor=32), dict(type='RandFlip', flip_ratio=0.5), dict( type='OneOf', transforms=[ dict(type='Identity'), dict(type='AutoContrast'), dict(type='RandEqualize'), dict(type='RandSolarize'), dict(type='RandColor'), dict(type='RandContrast'), dict(type='RandBrightness'), dict(type='RandSharpness'), dict(type='RandPosterize') ]), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) ] train_pipeline2 = [ dict( type='Resize', img_scale=[(1333, 640), (1333, 672), (1333, 704), (1333, 736), (1333, 768), (1333, 800)], multiscale_mode='value', keep_ratio=True), dict(type='FilterAnnotations', min_gt_bbox_wh=(0.01, 0.01)), dict(type='Pad', size_divisor=32), dict(type='RandFlip', flip_ratio=0.5), dict( type='OneOf', transforms=[ dict(type='Identity'), dict(type='AutoContrast'), dict(type='RandEqualize'), dict(type='RandSolarize'), dict(type='RandColor'), dict(type='RandContrast'), dict(type='RandBrightness'), dict(type='RandSharpness'), dict(type='RandPosterize') ]), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='DefaultFormatBundle'), dict(type='Collect', keys=['img', 'gt_bboxes', 'gt_labels']) ] test_pipeline = [ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1333, 800), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ] data = dict( samples_per_gpu=2, workers_per_gpu=2, train=dict( type='MultiViewCocoDataset', dataset=dict( type='CocoDataset', classes=[ 'cluster_1', 'cluster_2', 'cluster_3', 'cluster_4', 'cluster_5', 'cluster_6', 'cluster_7', 'cluster_8', 'cluster_9', 'cluster_10', 'cluster_11', 'cluster_12', 'cluster_13', 'cluster_14', 'cluster_15', 'cluster_16', 'cluster_17', 'cluster_18', 'cluster_19', 'cluster_20', 'cluster_21', 'cluster_22', 'cluster_23', 'cluster_24', 'cluster_25', 'cluster_26', 'cluster_27', 'cluster_28', 'cluster_29', 'cluster_30', 'cluster_31', 'cluster_32', 'cluster_33', 'cluster_34', 'cluster_35', 'cluster_36', 'cluster_37', 'cluster_38', 'cluster_39', 'cluster_40', 'cluster_41', 'cluster_42', 'cluster_43', 'cluster_44', 'cluster_45', 'cluster_46', 'cluster_47', 'cluster_48', 'cluster_49', 'cluster_50', 'cluster_51', 'cluster_52', 'cluster_53', 'cluster_54', 'cluster_55', 'cluster_56', 'cluster_57', 'cluster_58', 'cluster_59', 'cluster_60', 'cluster_61', 'cluster_62', 'cluster_63', 'cluster_64', 'cluster_65', 'cluster_66', 'cluster_67', 'cluster_68', 'cluster_69', 'cluster_70', 'cluster_71', 'cluster_72', 'cluster_73', 'cluster_74', 'cluster_75', 'cluster_76', 'cluster_77', 'cluster_78', 'cluster_79', 'cluster_80', 'cluster_81', 'cluster_82', 'cluster_83', 'cluster_84', 'cluster_85', 'cluster_86', 'cluster_87', 'cluster_88', 'cluster_89', 'cluster_90', 'cluster_91', 'cluster_92', 'cluster_93', 'cluster_94', 'cluster_95', 'cluster_96', 'cluster_97', 'cluster_98', 'cluster_99', 'cluster_100', 'cluster_101', 'cluster_102', 'cluster_103', 'cluster_104', 'cluster_105', 'cluster_106', 'cluster_107', 'cluster_108', 'cluster_109', 'cluster_110', 'cluster_111', 'cluster_112', 'cluster_113', 'cluster_114', 'cluster_115', 'cluster_116', 'cluster_117', 'cluster_118', 'cluster_119', 'cluster_120', 'cluster_121', 'cluster_122', 'cluster_123', 'cluster_124', 'cluster_125', 'cluster_126', 'cluster_127', 'cluster_128', 'cluster_129', 'cluster_130', 'cluster_131', 'cluster_132', 'cluster_133', 'cluster_134', 'cluster_135', 'cluster_136', 'cluster_137', 'cluster_138', 'cluster_139', 'cluster_140', 'cluster_141', 'cluster_142', 'cluster_143', 'cluster_144', 'cluster_145', 'cluster_146', 'cluster_147', 'cluster_148', 'cluster_149', 'cluster_150', 'cluster_151', 'cluster_152', 'cluster_153', 'cluster_154', 'cluster_155', 'cluster_156', 'cluster_157', 'cluster_158', 'cluster_159', 'cluster_160', 'cluster_161', 'cluster_162', 'cluster_163', 'cluster_164', 'cluster_165', 'cluster_166', 'cluster_167', 'cluster_168', 'cluster_169', 'cluster_170', 'cluster_171', 'cluster_172', 'cluster_173', 'cluster_174', 'cluster_175', 'cluster_176', 'cluster_177', 'cluster_178', 'cluster_179', 'cluster_180', 'cluster_181', 'cluster_182', 'cluster_183', 'cluster_184', 'cluster_185', 'cluster_186', 'cluster_187', 'cluster_188', 'cluster_189', 'cluster_190', 'cluster_191', 'cluster_192', 'cluster_193', 'cluster_194', 'cluster_195', 'cluster_196', 'cluster_197', 'cluster_198', 'cluster_199', 'cluster_200', 'cluster_201', 'cluster_202', 'cluster_203', 'cluster_204', 'cluster_205', 'cluster_206', 'cluster_207', 'cluster_208', 'cluster_209', 'cluster_210', 'cluster_211', 'cluster_212', 'cluster_213', 'cluster_214', 'cluster_215', 'cluster_216', 'cluster_217', 'cluster_218', 'cluster_219', 'cluster_220', 'cluster_221', 'cluster_222', 'cluster_223', 'cluster_224', 'cluster_225', 'cluster_226', 'cluster_227', 'cluster_228', 'cluster_229', 'cluster_230', 'cluster_231', 'cluster_232', 'cluster_233', 'cluster_234', 'cluster_235', 'cluster_236', 'cluster_237', 'cluster_238', 'cluster_239', 'cluster_240', 'cluster_241', 'cluster_242', 'cluster_243', 'cluster_244', 'cluster_245', 'cluster_246', 'cluster_247', 'cluster_248', 'cluster_249', 'cluster_250', 'cluster_251', 'cluster_252', 'cluster_253', 'cluster_254', 'cluster_255', 'cluster_256' ], ann_file='train2017_ratio3size0008@0.5_cluster-id-as-class.json', img_prefix='data/coco/train2017/', pipeline=[ dict(type='LoadImageFromFile'), dict(type='LoadAnnotations', with_bbox=True, with_mask=False), dict(type='SelectTopKProposals', topk=50) ]), num_views=2, pipelines=[[{ 'type': 'Resize', 'img_scale': [(1333, 640), (1333, 672), (1333, 704), (1333, 736), (1333, 768), (1333, 800)], 'multiscale_mode': 'value', 'keep_ratio': True }, { 'type': 'FilterAnnotations', 'min_gt_bbox_wh': (0.01, 0.01) }, { 'type': 'Pad', 'size_divisor': 32 }, { 'type': 'RandFlip', 'flip_ratio': 0.5 }, { 'type': 'OneOf', 'transforms': [{ 'type': 'Identity' }, { 'type': 'AutoContrast' }, { 'type': 'RandEqualize' }, { 'type': 'RandSolarize' }, { 'type': 'RandColor' }, { 'type': 'RandContrast' }, { 'type': 'RandBrightness' }, { 'type': 'RandSharpness' }, { 'type': 'RandPosterize' }] }, { 'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True }, { 'type': 'DefaultFormatBundle' }, { 'type': 'Collect', 'keys': ['img', 'gt_bboxes', 'gt_labels'] }], [{ 'type': 'Resize', 'img_scale': [(1333, 640), (1333, 672), (1333, 704), (1333, 736), (1333, 768), (1333, 800)], 'multiscale_mode': 'value', 'keep_ratio': True }, { 'type': 'FilterAnnotations', 'min_gt_bbox_wh': (0.01, 0.01) }, { 'type': 'Pad', 'size_divisor': 32 }, { 'type': 'RandFlip', 'flip_ratio': 0.5 }, { 'type': 'OneOf', 'transforms': [{ 'type': 'Identity' }, { 'type': 'AutoContrast' }, { 'type': 'RandEqualize' }, { 'type': 'RandSolarize' }, { 'type': 'RandColor' }, { 'type': 'RandContrast' }, { 'type': 'RandBrightness' }, { 'type': 'RandSharpness' }, { 'type': 'RandPosterize' }] }, { 'type': 'Normalize', 'mean': [123.675, 116.28, 103.53], 'std': [58.395, 57.12, 57.375], 'to_rgb': True }, { 'type': 'DefaultFormatBundle' }, { 'type': 'Collect', 'keys': ['img', 'gt_bboxes', 'gt_labels'] }]]), val=dict( type='CocoDataset', classes=[ 'cluster_1', 'cluster_2', 'cluster_3', 'cluster_4', 'cluster_5', 'cluster_6', 'cluster_7', 'cluster_8', 'cluster_9', 'cluster_10', 'cluster_11', 'cluster_12', 'cluster_13', 'cluster_14', 'cluster_15', 'cluster_16', 'cluster_17', 'cluster_18', 'cluster_19', 'cluster_20', 'cluster_21', 'cluster_22', 'cluster_23', 'cluster_24', 'cluster_25', 'cluster_26', 'cluster_27', 'cluster_28', 'cluster_29', 'cluster_30', 'cluster_31', 'cluster_32', 'cluster_33', 'cluster_34', 'cluster_35', 'cluster_36', 'cluster_37', 'cluster_38', 'cluster_39', 'cluster_40', 'cluster_41', 'cluster_42', 'cluster_43', 'cluster_44', 'cluster_45', 'cluster_46', 'cluster_47', 'cluster_48', 'cluster_49', 'cluster_50', 'cluster_51', 'cluster_52', 'cluster_53', 'cluster_54', 'cluster_55', 'cluster_56', 'cluster_57', 'cluster_58', 'cluster_59', 'cluster_60', 'cluster_61', 'cluster_62', 'cluster_63', 'cluster_64', 'cluster_65', 'cluster_66', 'cluster_67', 'cluster_68', 'cluster_69', 'cluster_70', 'cluster_71', 'cluster_72', 'cluster_73', 'cluster_74', 'cluster_75', 'cluster_76', 'cluster_77', 'cluster_78', 'cluster_79', 'cluster_80', 'cluster_81', 'cluster_82', 'cluster_83', 'cluster_84', 'cluster_85', 'cluster_86', 'cluster_87', 'cluster_88', 'cluster_89', 'cluster_90', 'cluster_91', 'cluster_92', 'cluster_93', 'cluster_94', 'cluster_95', 'cluster_96', 'cluster_97', 'cluster_98', 'cluster_99', 'cluster_100', 'cluster_101', 'cluster_102', 'cluster_103', 'cluster_104', 'cluster_105', 'cluster_106', 'cluster_107', 'cluster_108', 'cluster_109', 'cluster_110', 'cluster_111', 'cluster_112', 'cluster_113', 'cluster_114', 'cluster_115', 'cluster_116', 'cluster_117', 'cluster_118', 'cluster_119', 'cluster_120', 'cluster_121', 'cluster_122', 'cluster_123', 'cluster_124', 'cluster_125', 'cluster_126', 'cluster_127', 'cluster_128', 'cluster_129', 'cluster_130', 'cluster_131', 'cluster_132', 'cluster_133', 'cluster_134', 'cluster_135', 'cluster_136', 'cluster_137', 'cluster_138', 'cluster_139', 'cluster_140', 'cluster_141', 'cluster_142', 'cluster_143', 'cluster_144', 'cluster_145', 'cluster_146', 'cluster_147', 'cluster_148', 'cluster_149', 'cluster_150', 'cluster_151', 'cluster_152', 'cluster_153', 'cluster_154', 'cluster_155', 'cluster_156', 'cluster_157', 'cluster_158', 'cluster_159', 'cluster_160', 'cluster_161', 'cluster_162', 'cluster_163', 'cluster_164', 'cluster_165', 'cluster_166', 'cluster_167', 'cluster_168', 'cluster_169', 'cluster_170', 'cluster_171', 'cluster_172', 'cluster_173', 'cluster_174', 'cluster_175', 'cluster_176', 'cluster_177', 'cluster_178', 'cluster_179', 'cluster_180', 'cluster_181', 'cluster_182', 'cluster_183', 'cluster_184', 'cluster_185', 'cluster_186', 'cluster_187', 'cluster_188', 'cluster_189', 'cluster_190', 'cluster_191', 'cluster_192', 'cluster_193', 'cluster_194', 'cluster_195', 'cluster_196', 'cluster_197', 'cluster_198', 'cluster_199', 'cluster_200', 'cluster_201', 'cluster_202', 'cluster_203', 'cluster_204', 'cluster_205', 'cluster_206', 'cluster_207', 'cluster_208', 'cluster_209', 'cluster_210', 'cluster_211', 'cluster_212', 'cluster_213', 'cluster_214', 'cluster_215', 'cluster_216', 'cluster_217', 'cluster_218', 'cluster_219', 'cluster_220', 'cluster_221', 'cluster_222', 'cluster_223', 'cluster_224', 'cluster_225', 'cluster_226', 'cluster_227', 'cluster_228', 'cluster_229', 'cluster_230', 'cluster_231', 'cluster_232', 'cluster_233', 'cluster_234', 'cluster_235', 'cluster_236', 'cluster_237', 'cluster_238', 'cluster_239', 'cluster_240', 'cluster_241', 'cluster_242', 'cluster_243', 'cluster_244', 'cluster_245', 'cluster_246', 'cluster_247', 'cluster_248', 'cluster_249', 'cluster_250', 'cluster_251', 'cluster_252', 'cluster_253', 'cluster_254', 'cluster_255', 'cluster_256' ], ann_file='data/coco/annotations/instances_val2017.json', img_prefix='data/coco/val2017/', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1333, 800), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ]), test=dict( type='CocoDataset', classes=[ 'cluster_1', 'cluster_2', 'cluster_3', 'cluster_4', 'cluster_5', 'cluster_6', 'cluster_7', 'cluster_8', 'cluster_9', 'cluster_10', 'cluster_11', 'cluster_12', 'cluster_13', 'cluster_14', 'cluster_15', 'cluster_16', 'cluster_17', 'cluster_18', 'cluster_19', 'cluster_20', 'cluster_21', 'cluster_22', 'cluster_23', 'cluster_24', 'cluster_25', 'cluster_26', 'cluster_27', 'cluster_28', 'cluster_29', 'cluster_30', 'cluster_31', 'cluster_32', 'cluster_33', 'cluster_34', 'cluster_35', 'cluster_36', 'cluster_37', 'cluster_38', 'cluster_39', 'cluster_40', 'cluster_41', 'cluster_42', 'cluster_43', 'cluster_44', 'cluster_45', 'cluster_46', 'cluster_47', 'cluster_48', 'cluster_49', 'cluster_50', 'cluster_51', 'cluster_52', 'cluster_53', 'cluster_54', 'cluster_55', 'cluster_56', 'cluster_57', 'cluster_58', 'cluster_59', 'cluster_60', 'cluster_61', 'cluster_62', 'cluster_63', 'cluster_64', 'cluster_65', 'cluster_66', 'cluster_67', 'cluster_68', 'cluster_69', 'cluster_70', 'cluster_71', 'cluster_72', 'cluster_73', 'cluster_74', 'cluster_75', 'cluster_76', 'cluster_77', 'cluster_78', 'cluster_79', 'cluster_80', 'cluster_81', 'cluster_82', 'cluster_83', 'cluster_84', 'cluster_85', 'cluster_86', 'cluster_87', 'cluster_88', 'cluster_89', 'cluster_90', 'cluster_91', 'cluster_92', 'cluster_93', 'cluster_94', 'cluster_95', 'cluster_96', 'cluster_97', 'cluster_98', 'cluster_99', 'cluster_100', 'cluster_101', 'cluster_102', 'cluster_103', 'cluster_104', 'cluster_105', 'cluster_106', 'cluster_107', 'cluster_108', 'cluster_109', 'cluster_110', 'cluster_111', 'cluster_112', 'cluster_113', 'cluster_114', 'cluster_115', 'cluster_116', 'cluster_117', 'cluster_118', 'cluster_119', 'cluster_120', 'cluster_121', 'cluster_122', 'cluster_123', 'cluster_124', 'cluster_125', 'cluster_126', 'cluster_127', 'cluster_128', 'cluster_129', 'cluster_130', 'cluster_131', 'cluster_132', 'cluster_133', 'cluster_134', 'cluster_135', 'cluster_136', 'cluster_137', 'cluster_138', 'cluster_139', 'cluster_140', 'cluster_141', 'cluster_142', 'cluster_143', 'cluster_144', 'cluster_145', 'cluster_146', 'cluster_147', 'cluster_148', 'cluster_149', 'cluster_150', 'cluster_151', 'cluster_152', 'cluster_153', 'cluster_154', 'cluster_155', 'cluster_156', 'cluster_157', 'cluster_158', 'cluster_159', 'cluster_160', 'cluster_161', 'cluster_162', 'cluster_163', 'cluster_164', 'cluster_165', 'cluster_166', 'cluster_167', 'cluster_168', 'cluster_169', 'cluster_170', 'cluster_171', 'cluster_172', 'cluster_173', 'cluster_174', 'cluster_175', 'cluster_176', 'cluster_177', 'cluster_178', 'cluster_179', 'cluster_180', 'cluster_181', 'cluster_182', 'cluster_183', 'cluster_184', 'cluster_185', 'cluster_186', 'cluster_187', 'cluster_188', 'cluster_189', 'cluster_190', 'cluster_191', 'cluster_192', 'cluster_193', 'cluster_194', 'cluster_195', 'cluster_196', 'cluster_197', 'cluster_198', 'cluster_199', 'cluster_200', 'cluster_201', 'cluster_202', 'cluster_203', 'cluster_204', 'cluster_205', 'cluster_206', 'cluster_207', 'cluster_208', 'cluster_209', 'cluster_210', 'cluster_211', 'cluster_212', 'cluster_213', 'cluster_214', 'cluster_215', 'cluster_216', 'cluster_217', 'cluster_218', 'cluster_219', 'cluster_220', 'cluster_221', 'cluster_222', 'cluster_223', 'cluster_224', 'cluster_225', 'cluster_226', 'cluster_227', 'cluster_228', 'cluster_229', 'cluster_230', 'cluster_231', 'cluster_232', 'cluster_233', 'cluster_234', 'cluster_235', 'cluster_236', 'cluster_237', 'cluster_238', 'cluster_239', 'cluster_240', 'cluster_241', 'cluster_242', 'cluster_243', 'cluster_244', 'cluster_245', 'cluster_246', 'cluster_247', 'cluster_248', 'cluster_249', 'cluster_250', 'cluster_251', 'cluster_252', 'cluster_253', 'cluster_254', 'cluster_255', 'cluster_256' ], ann_file='data/coco/annotations/instances_val2017.json', img_prefix='data/coco/val2017/', pipeline=[ dict(type='LoadImageFromFile'), dict( type='MultiScaleFlipAug', img_scale=(1333, 800), flip=False, transforms=[ dict(type='Resize', keep_ratio=True), dict(type='RandomFlip'), dict( type='Normalize', mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True), dict(type='Pad', size_divisor=32), dict(type='ImageToTensor', keys=['img']), dict(type='Collect', keys=['img']) ]) ])) evaluation = dict(interval=65535, gpu_collect=True) checkpoint_config = dict(interval=1) log_config = dict(interval=50, hooks=[dict(type='TextLoggerHook')]) custom_hooks = [ dict(type='MomentumUpdateHook'), dict( type='MMDetWandbHook', init_kwargs=dict(project='I2B', group='pretrain'), interval=50, num_eval_images=0, log_checkpoint=False) ] dist_params = dict(backend='nccl') log_level = 'INFO' load_from = None resume_from = None workflow = [('train', 1)] opencv_num_threads = 0 mp_start_method = 'fork' auto_scale_lr = dict(enable=True, base_batch_size=64) custom_imports = dict( imports=[ 'mmselfsup.datasets.pipelines', 'selfsup.core.hook.momentum_update_hook', 'selfsup.datasets.pipelines.selfsup_pipelines', 'selfsup.datasets.pipelines.rand_aug', 'selfsup.datasets.single_view_coco', 'selfsup.datasets.multi_view_coco', 'selfsup.models.losses.contrastive_loss', 'selfsup.models.dense_heads.fcos_head', 'selfsup.models.dense_heads.retina_head', 'selfsup.models.dense_heads.detr_head', 'selfsup.models.dense_heads.deformable_detr_head', 'selfsup.models.roi_heads.bbox_heads.convfc_bbox_head', 'selfsup.models.roi_heads.standard_roi_head', 'selfsup.models.detectors.selfsup_detector', 'selfsup.models.detectors.selfsup_fcos', 'selfsup.models.detectors.selfsup_detr', 'selfsup.models.detectors.selfsup_deformable_detr', 'selfsup.models.detectors.selfsup_retinanet', 'selfsup.models.detectors.selfsup_mask_rcnn', 'selfsup.core.bbox.assigners.hungarian_assigner', 'selfsup.core.bbox.assigners.pseudo_hungarian_assigner', 'selfsup.core.bbox.match_costs.match_cost' ], allow_failed_imports=False) optimizer = dict(type='AdamW', lr=0.0002, weight_decay=0.0001) optimizer_config = dict(grad_clip=dict(max_norm=0.1, norm_type=2)) lr_config = dict(policy='step', step=[40]) runner = dict(type='EpochBasedRunner', max_epochs=50) work_dir = 'work_dirs/selfsup_detr_cluster-id-as-class_contrastive' auto_resume = False gpu_ids = range(0, 32) 2022-10-26 18:14:23,965 - mmdet - INFO - Set random seed to 42, deterministic: False 2022-10-26 18:14:24,631 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'torchvision://resnet50'} 2022-10-26 18:14:33,837 - mmdet - INFO - initialize ResNet with init_cfg {'type': 'Pretrained', 'checkpoint': 'torchvision://resnet50'} Name of parameter - Initialization information online_backbone.backbone.conv1.weight - torch.Size([64, 3, 7, 7]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.1.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer1.2.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.downsample.1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.0.downsample.1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.1.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.2.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer2.3.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.downsample.1.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.0.downsample.1.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.1.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.2.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.3.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.4.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer3.5.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.downsample.1.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.0.downsample.1.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.1.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.backbone.layer4.2.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 online_backbone.bbox_head.transformer.encoder.layers.0.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.0.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.0.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.0.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.0.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.0.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.0.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.0.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.0.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.0.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.0.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.0.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.1.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.1.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.1.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.1.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.1.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.1.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.1.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.1.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.1.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.1.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.1.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.1.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.2.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.2.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.2.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.2.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.2.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.2.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.2.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.2.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.2.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.2.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.2.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.2.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.3.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.3.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.3.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.3.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.3.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.3.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.3.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.3.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.3.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.3.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.3.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.3.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.4.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.4.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.4.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.4.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.4.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.4.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.4.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.4.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.4.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.4.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.4.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.4.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.5.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.5.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.5.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.5.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.5.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.5.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.5.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.5.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.encoder.layers.5.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.5.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.5.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.encoder.layers.5.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.0.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.0.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.0.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.0.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.0.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.0.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.0.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.0.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.0.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.0.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.0.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.0.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.0.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.0.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.0.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.0.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.0.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.0.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.1.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.1.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.1.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.1.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.1.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.1.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.1.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.1.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.1.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.1.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.1.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.1.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.1.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.1.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.1.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.1.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.1.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.1.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.2.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.2.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.2.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.2.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.2.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.2.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.2.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.2.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.2.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.2.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.2.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.2.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.2.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.2.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.2.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.2.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.2.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.2.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.3.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.3.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.3.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.3.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.3.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.3.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.3.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.3.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.3.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.3.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.3.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.3.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.3.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.3.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.3.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.3.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.3.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.3.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.4.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.4.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.4.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.4.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.4.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.4.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.4.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.4.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.4.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.4.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.4.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.4.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.4.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.4.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.4.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.4.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.4.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.4.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.5.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.5.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.5.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.5.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.5.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.5.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.5.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.5.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.5.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.5.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.5.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.5.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead online_backbone.bbox_head.transformer.decoder.layers.5.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.5.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.5.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.5.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.5.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.layers.5.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.post_norm.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.transformer.decoder.post_norm.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.input_proj.weight - torch.Size([256, 2048, 1, 1]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.input_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.fc_cls.0.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.fc_cls.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.fc_cls.2.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.fc_cls.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_ffn.layers.0.0.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_ffn.layers.0.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_ffn.layers.1.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.reg_ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.fc_reg.weight - torch.Size([4, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.fc_reg.bias - torch.Size([4]): The value is the same before and after calling `init_weights` of SelfSupDetector online_backbone.bbox_head.query_embedding.weight - torch.Size([100, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.backbone.conv1.weight - torch.Size([64, 3, 7, 7]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.conv1.weight - torch.Size([64, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.downsample.0.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.downsample.1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.0.downsample.1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.1.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.conv1.weight - torch.Size([64, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.bn1.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.bn1.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.conv2.weight - torch.Size([64, 64, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.bn2.weight - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.bn2.bias - torch.Size([64]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.conv3.weight - torch.Size([256, 64, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.bn3.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer1.2.bn3.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.conv1.weight - torch.Size([128, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.downsample.0.weight - torch.Size([512, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.downsample.1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.0.downsample.1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.1.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.2.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.conv1.weight - torch.Size([128, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.bn1.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.bn1.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.conv2.weight - torch.Size([128, 128, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.bn2.weight - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.bn2.bias - torch.Size([128]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.conv3.weight - torch.Size([512, 128, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.bn3.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer2.3.bn3.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.conv1.weight - torch.Size([256, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.downsample.0.weight - torch.Size([1024, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.downsample.1.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.0.downsample.1.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.1.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.2.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.3.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.4.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.conv1.weight - torch.Size([256, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.bn1.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.bn1.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.conv2.weight - torch.Size([256, 256, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.bn2.weight - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.bn2.bias - torch.Size([256]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.conv3.weight - torch.Size([1024, 256, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.bn3.weight - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer3.5.bn3.bias - torch.Size([1024]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.conv1.weight - torch.Size([512, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.downsample.0.weight - torch.Size([2048, 1024, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.downsample.1.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.0.downsample.1.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.1.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.conv1.weight - torch.Size([512, 2048, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.bn1.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.bn1.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.conv2.weight - torch.Size([512, 512, 3, 3]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.bn2.weight - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.bn2.bias - torch.Size([512]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.conv3.weight - torch.Size([2048, 512, 1, 1]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.bn3.weight - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.backbone.layer4.2.bn3.bias - torch.Size([2048]): PretrainedInit: load from torchvision://resnet50 target_backbone.bbox_head.transformer.encoder.layers.0.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.0.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.0.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.0.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.0.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.0.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.0.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.0.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.0.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.0.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.0.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.0.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.1.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.1.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.1.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.1.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.1.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.1.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.1.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.1.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.1.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.1.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.1.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.1.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.2.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.2.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.2.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.2.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.2.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.2.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.2.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.2.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.2.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.2.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.2.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.2.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.3.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.3.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.3.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.3.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.3.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.3.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.3.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.3.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.3.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.3.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.3.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.3.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.4.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.4.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.4.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.4.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.4.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.4.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.4.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.4.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.4.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.4.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.4.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.4.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.5.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.5.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.5.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.5.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.5.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.5.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.5.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.5.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.encoder.layers.5.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.5.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.5.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.encoder.layers.5.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.0.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.0.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.0.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.0.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.0.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.0.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.0.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.0.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.0.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.0.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.0.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.0.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.0.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.0.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.0.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.0.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.0.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.0.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.1.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.1.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.1.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.1.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.1.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.1.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.1.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.1.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.1.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.1.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.1.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.1.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.1.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.1.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.1.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.1.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.1.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.1.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.2.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.2.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.2.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.2.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.2.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.2.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.2.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.2.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.2.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.2.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.2.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.2.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.2.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.2.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.2.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.2.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.2.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.2.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.3.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.3.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.3.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.3.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.3.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.3.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.3.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.3.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.3.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.3.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.3.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.3.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.3.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.3.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.3.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.3.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.3.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.3.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.4.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.4.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.4.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.4.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.4.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.4.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.4.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.4.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.4.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.4.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.4.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.4.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.4.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.4.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.4.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.4.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.4.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.4.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.5.attentions.0.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.5.attentions.0.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.5.attentions.0.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.5.attentions.0.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.5.attentions.1.attn.in_proj_weight - torch.Size([768, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.5.attentions.1.attn.in_proj_bias - torch.Size([768]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.5.attentions.1.attn.out_proj.weight - torch.Size([256, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.5.attentions.1.attn.out_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.5.ffns.0.layers.0.0.weight - torch.Size([2048, 256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.5.ffns.0.layers.0.0.bias - torch.Size([2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.5.ffns.0.layers.1.weight - torch.Size([256, 2048]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.5.ffns.0.layers.1.bias - torch.Size([256]): Initialized by user-defined `init_weights` in SelfSupDETRHead target_backbone.bbox_head.transformer.decoder.layers.5.norms.0.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.5.norms.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.5.norms.1.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.5.norms.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.5.norms.2.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.layers.5.norms.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.post_norm.weight - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.transformer.decoder.post_norm.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.input_proj.weight - torch.Size([256, 2048, 1, 1]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.input_proj.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.fc_cls.0.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.fc_cls.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.fc_cls.2.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.fc_cls.2.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_ffn.layers.0.0.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_ffn.layers.0.0.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_ffn.layers.1.weight - torch.Size([256, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.reg_ffn.layers.1.bias - torch.Size([256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.fc_reg.weight - torch.Size([4, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.fc_reg.bias - torch.Size([4]): The value is the same before and after calling `init_weights` of SelfSupDetector target_backbone.bbox_head.query_embedding.weight - torch.Size([100, 256]): The value is the same before and after calling `init_weights` of SelfSupDetector 2022-10-26 18:14:57,111 - mmdet - INFO - Training with 32 GPU(s) with 2 samples per GPU. The total batch size is 64. 2022-10-26 18:14:57,111 - mmdet - INFO - The batch size match the base batch size: 64, will not scaling the LR (0.0002). 2022-10-26 18:14:57,669 - mmdet - INFO - Start running, host: tiger@n176-119-021, work_dir: /home/tiger/code/mmdet/work_dirs/selfsup_detr_cluster-id-as-class_contrastive 2022-10-26 18:14:57,669 - mmdet - INFO - Hooks will be executed in the following order: before_run: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) CheckpointHook (NORMAL ) MMDetWandbHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_epoch: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) MMDetWandbHook (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_train_iter: (VERY_HIGH ) StepLrUpdaterHook (NORMAL ) MomentumUpdateHook (LOW ) IterTimerHook (LOW ) DistEvalHook -------------------- after_train_iter: (ABOVE_NORMAL) OptimizerHook (NORMAL ) CheckpointHook (NORMAL ) MomentumUpdateHook (NORMAL ) MMDetWandbHook (LOW ) IterTimerHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- after_train_epoch: (NORMAL ) CheckpointHook (NORMAL ) MMDetWandbHook (LOW ) DistEvalHook (VERY_LOW ) TextLoggerHook -------------------- before_val_epoch: (NORMAL ) MMDetWandbHook (NORMAL ) DistSamplerSeedHook (LOW ) IterTimerHook (VERY_LOW ) TextLoggerHook -------------------- before_val_iter: (LOW ) IterTimerHook -------------------- after_val_iter: (LOW ) IterTimerHook -------------------- after_val_epoch: (NORMAL ) MMDetWandbHook (VERY_LOW ) TextLoggerHook -------------------- after_run: (NORMAL ) MMDetWandbHook (VERY_LOW ) TextLoggerHook -------------------- 2022-10-26 18:14:57,669 - mmdet - INFO - workflow: [('train', 1)], max: 50 epochs 2022-10-26 18:14:57,670 - mmdet - INFO - Checkpoints will be saved to /home/tiger/code/mmdet/work_dirs/selfsup_detr_cluster-id-as-class_contrastive by HardDiskBackend. 2022-10-26 18:15:39,362 - mmdet - INFO - Epoch [1][50/1849] lr: 2.000e-04, eta: 19:17:02, time: 0.751, data_time: 0.068, memory: 4046, loss_contrastive: 8.1604, loss_bbox: 2.2977, loss_iou: 2.0643, d0.loss_bbox: 2.7119, d0.loss_iou: 2.4122, d1.loss_bbox: 2.4305, d1.loss_iou: 2.1959, d2.loss_bbox: 2.3791, d2.loss_iou: 2.1374, d3.loss_bbox: 2.3404, d3.loss_iou: 2.1095, d4.loss_bbox: 2.3185, d4.loss_iou: 2.0770, loss: 35.6349, grad_norm: 280.8054 2022-10-26 18:15:57,229 - mmdet - INFO - Epoch [1][100/1849] lr: 2.000e-04, eta: 14:13:20, time: 0.358, data_time: 0.008, memory: 4046, loss_contrastive: 7.9705, loss_bbox: 1.4185, loss_iou: 1.4834, d0.loss_bbox: 1.4953, d0.loss_iou: 1.5845, d1.loss_bbox: 1.4061, d1.loss_iou: 1.4973, d2.loss_bbox: 1.3994, d2.loss_iou: 1.4904, d3.loss_bbox: 1.4032, d3.loss_iou: 1.4784, d4.loss_bbox: 1.4095, d4.loss_iou: 1.4784, loss: 25.5149, grad_norm: 307.1971 2022-10-26 18:16:15,001 - mmdet - INFO - Epoch [1][150/1849] lr: 2.000e-04, eta: 12:30:50, time: 0.355, data_time: 0.008, memory: 4046, loss_contrastive: 7.8746, loss_bbox: 1.2579, loss_iou: 1.5039, d0.loss_bbox: 1.3148, d0.loss_iou: 1.4858, d1.loss_bbox: 1.2435, d1.loss_iou: 1.4929, d2.loss_bbox: 1.2222, d2.loss_iou: 1.5001, d3.loss_bbox: 1.2224, d3.loss_iou: 1.5002, d4.loss_bbox: 1.2315, d4.loss_iou: 1.4983, loss: 24.3480, grad_norm: 198.9149 2022-10-26 18:16:34,968 - mmdet - INFO - Epoch [1][200/1849] lr: 2.000e-04, eta: 11:56:19, time: 0.399, data_time: 0.008, memory: 4048, loss_contrastive: 7.8566, loss_bbox: 1.1662, loss_iou: 1.4518, d0.loss_bbox: 1.2289, d0.loss_iou: 1.4883, d1.loss_bbox: 1.1716, d1.loss_iou: 1.4762, d2.loss_bbox: 1.1607, d2.loss_iou: 1.4611, d3.loss_bbox: 1.1555, d3.loss_iou: 1.4497, d4.loss_bbox: 1.1552, d4.loss_iou: 1.4447, loss: 23.6666, grad_norm: 156.7058 2022-10-26 18:16:52,483 - mmdet - INFO - Epoch [1][250/1849] lr: 2.000e-04, eta: 11:20:24, time: 0.350, data_time: 0.008, memory: 4048, loss_contrastive: 7.8469, loss_bbox: 1.1435, loss_iou: 1.4334, d0.loss_bbox: 1.1955, d0.loss_iou: 1.4783, d1.loss_bbox: 1.1690, d1.loss_iou: 1.4636, d2.loss_bbox: 1.1532, d2.loss_iou: 1.4509, d3.loss_bbox: 1.1431, d3.loss_iou: 1.4387, d4.loss_bbox: 1.1436, d4.loss_iou: 1.4381, loss: 23.4978, grad_norm: 112.3965 2022-10-26 18:17:10,251 - mmdet - INFO - Epoch [1][300/1849] lr: 2.000e-04, eta: 10:57:36, time: 0.355, data_time: 0.008, memory: 4048, loss_contrastive: 7.8468, loss_bbox: 1.1364, loss_iou: 1.4254, d0.loss_bbox: 1.1868, d0.loss_iou: 1.4726, d1.loss_bbox: 1.1571, d1.loss_iou: 1.4552, d2.loss_bbox: 1.1526, d2.loss_iou: 1.4444, d3.loss_bbox: 1.1491, d3.loss_iou: 1.4376, d4.loss_bbox: 1.1447, d4.loss_iou: 1.4352, loss: 23.4440, grad_norm: 91.7111 2022-10-26 18:17:29,328 - mmdet - INFO - Epoch [1][350/1849] lr: 2.000e-04, eta: 10:47:04, time: 0.382, data_time: 0.008, memory: 4048, loss_contrastive: 7.8494, loss_bbox: 1.1317, loss_iou: 1.4138, d0.loss_bbox: 1.1932, d0.loss_iou: 1.4781, d1.loss_bbox: 1.1556, d1.loss_iou: 1.4464, d2.loss_bbox: 1.1379, d2.loss_iou: 1.4205, d3.loss_bbox: 1.1263, d3.loss_iou: 1.4136, d4.loss_bbox: 1.1269, d4.loss_iou: 1.4101, loss: 23.3035, grad_norm: 100.5731 2022-10-26 18:17:48,286 - mmdet - INFO - Epoch [1][400/1849] lr: 2.000e-04, eta: 10:38:35, time: 0.379, data_time: 0.008, memory: 4048, loss_contrastive: 7.8398, loss_bbox: 1.1184, loss_iou: 1.4077, d0.loss_bbox: 1.1531, d0.loss_iou: 1.4394, d1.loss_bbox: 1.1343, d1.loss_iou: 1.4318, d2.loss_bbox: 1.1244, d2.loss_iou: 1.4178, d3.loss_bbox: 1.1210, d3.loss_iou: 1.4128, d4.loss_bbox: 1.1183, d4.loss_iou: 1.4091, loss: 23.1279, grad_norm: 56.0461 2022-10-26 18:18:05,547 - mmdet - INFO - Epoch [1][450/1849] lr: 2.000e-04, eta: 10:26:08, time: 0.345, data_time: 0.008, memory: 4048, loss_contrastive: 7.8304, loss_bbox: 1.1136, loss_iou: 1.4061, d0.loss_bbox: 1.1560, d0.loss_iou: 1.4428, d1.loss_bbox: 1.1356, d1.loss_iou: 1.4298, d2.loss_bbox: 1.1270, d2.loss_iou: 1.4159, d3.loss_bbox: 1.1147, d3.loss_iou: 1.4049, d4.loss_bbox: 1.1124, d4.loss_iou: 1.4040, loss: 23.0933, grad_norm: 52.5764 2022-10-26 18:18:26,426 - mmdet - INFO - Epoch [1][500/1849] lr: 2.000e-04, eta: 10:27:12, time: 0.418, data_time: 0.008, memory: 4048, loss_contrastive: 7.8145, loss_bbox: 1.1008, loss_iou: 1.3938, d0.loss_bbox: 1.1415, d0.loss_iou: 1.4239, d1.loss_bbox: 1.1200, d1.loss_iou: 1.4082, d2.loss_bbox: 1.1121, d2.loss_iou: 1.4004, d3.loss_bbox: 1.0984, d3.loss_iou: 1.3958, d4.loss_bbox: 1.0983, d4.loss_iou: 1.3930, loss: 22.9007, grad_norm: 41.3666 2022-10-26 18:18:44,769 - mmdet - INFO - Epoch [1][550/1849] lr: 2.000e-04, eta: 10:20:58, time: 0.367, data_time: 0.008, memory: 4049, loss_contrastive: 7.8054, loss_bbox: 1.1039, loss_iou: 1.3948, d0.loss_bbox: 1.1584, d0.loss_iou: 1.4425, d1.loss_bbox: 1.1291, d1.loss_iou: 1.4179, d2.loss_bbox: 1.1183, d2.loss_iou: 1.4073, d3.loss_bbox: 1.1042, d3.loss_iou: 1.3973, d4.loss_bbox: 1.0993, d4.loss_iou: 1.3959, loss: 22.9743, grad_norm: 42.7567 2022-10-26 18:19:02,409 - mmdet - INFO - Epoch [1][600/1849] lr: 2.000e-04, eta: 10:13:54, time: 0.353, data_time: 0.008, memory: 4049, loss_contrastive: 7.7912, loss_bbox: 1.0975, loss_iou: 1.3889, d0.loss_bbox: 1.1560, d0.loss_iou: 1.4340, d1.loss_bbox: 1.1282, d1.loss_iou: 1.4165, d2.loss_bbox: 1.1167, d2.loss_iou: 1.4040, d3.loss_bbox: 1.1008, d3.loss_iou: 1.3944, d4.loss_bbox: 1.0940, d4.loss_iou: 1.3921, loss: 22.9145, grad_norm: 43.2802 2022-10-26 18:19:19,727 - mmdet - INFO - Epoch [1][650/1849] lr: 2.000e-04, eta: 10:07:07, time: 0.346, data_time: 0.008, memory: 4049, loss_contrastive: 7.7814, loss_bbox: 1.0891, loss_iou: 1.3832, d0.loss_bbox: 1.1462, d0.loss_iou: 1.4238, d1.loss_bbox: 1.1184, d1.loss_iou: 1.4032, d2.loss_bbox: 1.1078, d2.loss_iou: 1.3932, d3.loss_bbox: 1.0903, d3.loss_iou: 1.3832, d4.loss_bbox: 1.0885, d4.loss_iou: 1.3818, loss: 22.7900, grad_norm: 36.5539 2022-10-26 18:19:37,216 - mmdet - INFO - Epoch [1][700/1849] lr: 2.000e-04, eta: 10:01:40, time: 0.350, data_time: 0.009, memory: 4049, loss_contrastive: 7.7565, loss_bbox: 1.0784, loss_iou: 1.3814, d0.loss_bbox: 1.1401, d0.loss_iou: 1.4273, d1.loss_bbox: 1.1127, d1.loss_iou: 1.4092, d2.loss_bbox: 1.0978, d2.loss_iou: 1.3956, d3.loss_bbox: 1.0804, d3.loss_iou: 1.3827, d4.loss_bbox: 1.0752, d4.loss_iou: 1.3817, loss: 22.7191, grad_norm: 40.4278 2022-10-26 18:19:55,217 - mmdet - INFO - Epoch [1][750/1849] lr: 2.000e-04, eta: 9:57:56, time: 0.360, data_time: 0.008, memory: 4049, loss_contrastive: 7.7532, loss_bbox: 1.0798, loss_iou: 1.3842, d0.loss_bbox: 1.1405, d0.loss_iou: 1.4302, d1.loss_bbox: 1.1061, d1.loss_iou: 1.4030, d2.loss_bbox: 1.0928, d2.loss_iou: 1.3945, d3.loss_bbox: 1.0774, d3.loss_iou: 1.3827, d4.loss_bbox: 1.0770, d4.loss_iou: 1.3807, loss: 22.7022, grad_norm: 35.4991 2022-10-26 18:20:12,493 - mmdet - INFO - Epoch [1][800/1849] lr: 2.000e-04, eta: 9:53:13, time: 0.345, data_time: 0.008, memory: 4049, loss_contrastive: 7.7362, loss_bbox: 1.0667, loss_iou: 1.3655, d0.loss_bbox: 1.1189, d0.loss_iou: 1.4063, d1.loss_bbox: 1.1012, d1.loss_iou: 1.3914, d2.loss_bbox: 1.0887, d2.loss_iou: 1.3819, d3.loss_bbox: 1.0682, d3.loss_iou: 1.3671, d4.loss_bbox: 1.0639, d4.loss_iou: 1.3652, loss: 22.5212, grad_norm: 26.7587 2022-10-26 18:20:29,868 - mmdet - INFO - Epoch [1][850/1849] lr: 2.000e-04, eta: 9:49:14, time: 0.348, data_time: 0.008, memory: 4049, loss_contrastive: 7.6967, loss_bbox: 1.0441, loss_iou: 1.3483, d0.loss_bbox: 1.1152, d0.loss_iou: 1.4015, d1.loss_bbox: 1.0875, d1.loss_iou: 1.3880, d2.loss_bbox: 1.0771, d2.loss_iou: 1.3727, d3.loss_bbox: 1.0486, d3.loss_iou: 1.3539, d4.loss_bbox: 1.0440, d4.loss_iou: 1.3493, loss: 22.3268, grad_norm: 28.2311 2022-10-26 18:20:46,904 - mmdet - INFO - Epoch [1][900/1849] lr: 2.000e-04, eta: 9:45:05, time: 0.341, data_time: 0.009, memory: 4049, loss_contrastive: 7.6906, loss_bbox: 1.0280, loss_iou: 1.3380, d0.loss_bbox: 1.1004, d0.loss_iou: 1.3988, d1.loss_bbox: 1.0784, d1.loss_iou: 1.3829, d2.loss_bbox: 1.0651, d2.loss_iou: 1.3721, d3.loss_bbox: 1.0352, d3.loss_iou: 1.3480, d4.loss_bbox: 1.0263, d4.loss_iou: 1.3394, loss: 22.2032, grad_norm: 25.2236 2022-10-26 18:21:04,115 - mmdet - INFO - Epoch [1][950/1849] lr: 2.000e-04, eta: 9:41:37, time: 0.344, data_time: 0.008, memory: 4049, loss_contrastive: 7.6642, loss_bbox: 1.0199, loss_iou: 1.3299, d0.loss_bbox: 1.0961, d0.loss_iou: 1.3954, d1.loss_bbox: 1.0716, d1.loss_iou: 1.3771, d2.loss_bbox: 1.0557, d2.loss_iou: 1.3634, d3.loss_bbox: 1.0250, d3.loss_iou: 1.3339, d4.loss_bbox: 1.0147, d4.loss_iou: 1.3270, loss: 22.0738, grad_norm: 26.3594 2022-10-26 18:21:21,666 - mmdet - INFO - Exp name: detr.py 2022-10-26 18:21:21,666 - mmdet - INFO - Epoch [1][1000/1849] lr: 2.000e-04, eta: 9:38:59, time: 0.351, data_time: 0.008, memory: 4053, loss_contrastive: 7.6363, loss_bbox: 1.0039, loss_iou: 1.3234, d0.loss_bbox: 1.0849, d0.loss_iou: 1.3956, d1.loss_bbox: 1.0638, d1.loss_iou: 1.3779, d2.loss_bbox: 1.0504, d2.loss_iou: 1.3655, d3.loss_bbox: 1.0134, d3.loss_iou: 1.3325, d4.loss_bbox: 1.0027, d4.loss_iou: 1.3227, loss: 21.9731, grad_norm: 25.4648 2022-10-26 18:21:39,402 - mmdet - INFO - Epoch [1][1050/1849] lr: 2.000e-04, eta: 9:36:50, time: 0.355, data_time: 0.008, memory: 4053, loss_contrastive: 7.6029, loss_bbox: 0.9940, loss_iou: 1.3090, d0.loss_bbox: 1.0800, d0.loss_iou: 1.3881, d1.loss_bbox: 1.0603, d1.loss_iou: 1.3688, d2.loss_bbox: 1.0458, d2.loss_iou: 1.3558, d3.loss_bbox: 1.0062, d3.loss_iou: 1.3207, d4.loss_bbox: 0.9916, d4.loss_iou: 1.3085, loss: 21.8316, grad_norm: 23.3996 2022-10-26 18:21:56,720 - mmdet - INFO - Epoch [1][1100/1849] lr: 2.000e-04, eta: 9:34:17, time: 0.346, data_time: 0.008, memory: 4053, loss_contrastive: 7.5577, loss_bbox: 0.9886, loss_iou: 1.3014, d0.loss_bbox: 1.0738, d0.loss_iou: 1.3745, d1.loss_bbox: 1.0517, d1.loss_iou: 1.3618, d2.loss_bbox: 1.0357, d2.loss_iou: 1.3479, d3.loss_bbox: 0.9978, d3.loss_iou: 1.3105, d4.loss_bbox: 0.9874, d4.loss_iou: 1.3002, loss: 21.6890, grad_norm: 21.3790 2022-10-26 18:22:15,719 - mmdet - INFO - Epoch [1][1150/1849] lr: 2.000e-04, eta: 9:34:09, time: 0.380, data_time: 0.008, memory: 4053, loss_contrastive: 7.5185, loss_bbox: 0.9850, loss_iou: 1.3021, d0.loss_bbox: 1.0739, d0.loss_iou: 1.3827, d1.loss_bbox: 1.0546, d1.loss_iou: 1.3671, d2.loss_bbox: 1.0314, d2.loss_iou: 1.3478, d3.loss_bbox: 0.9907, d3.loss_iou: 1.3102, d4.loss_bbox: 0.9808, d4.loss_iou: 1.3001, loss: 21.6449, grad_norm: 23.2201 2022-10-26 18:22:33,191 - mmdet - INFO - Epoch [1][1200/1849] lr: 2.000e-04, eta: 9:32:05, time: 0.350, data_time: 0.008, memory: 4053, loss_contrastive: 7.4726, loss_bbox: 0.9805, loss_iou: 1.2935, d0.loss_bbox: 1.0666, d0.loss_iou: 1.3734, d1.loss_bbox: 1.0552, d1.loss_iou: 1.3651, d2.loss_bbox: 1.0303, d2.loss_iou: 1.3434, d3.loss_bbox: 0.9889, d3.loss_iou: 1.3026, d4.loss_bbox: 0.9789, d4.loss_iou: 1.2927, loss: 21.5437, grad_norm: 20.9084 2022-10-26 18:22:50,548 - mmdet - INFO - Epoch [1][1250/1849] lr: 2.000e-04, eta: 9:29:59, time: 0.347, data_time: 0.008, memory: 4053, loss_contrastive: 7.3987, loss_bbox: 0.9698, loss_iou: 1.2891, d0.loss_bbox: 1.0694, d0.loss_iou: 1.3789, d1.loss_bbox: 1.0493, d1.loss_iou: 1.3628, d2.loss_bbox: 1.0203, d2.loss_iou: 1.3377, d3.loss_bbox: 0.9798, d3.loss_iou: 1.2987, d4.loss_bbox: 0.9671, d4.loss_iou: 1.2882, loss: 21.4098, grad_norm: 20.9527 2022-10-26 18:23:08,098 - mmdet - INFO - Epoch [1][1300/1849] lr: 2.000e-04, eta: 9:28:16, time: 0.351, data_time: 0.009, memory: 4053, loss_contrastive: 7.3251, loss_bbox: 0.9675, loss_iou: 1.2909, d0.loss_bbox: 1.0642, d0.loss_iou: 1.3792, d1.loss_bbox: 1.0466, d1.loss_iou: 1.3601, d2.loss_bbox: 1.0137, d2.loss_iou: 1.3326, d3.loss_bbox: 0.9743, d3.loss_iou: 1.2967, d4.loss_bbox: 0.9647, d4.loss_iou: 1.2872, loss: 21.3027, grad_norm: 21.2985 2022-10-26 18:23:25,260 - mmdet - INFO - Epoch [1][1350/1849] lr: 2.000e-04, eta: 9:26:14, time: 0.343, data_time: 0.009, memory: 4053, loss_contrastive: 7.2226, loss_bbox: 0.9616, loss_iou: 1.2801, d0.loss_bbox: 1.0595, d0.loss_iou: 1.3700, d1.loss_bbox: 1.0371, d1.loss_iou: 1.3494, d2.loss_bbox: 1.0084, d2.loss_iou: 1.3256, d3.loss_bbox: 0.9715, d3.loss_iou: 1.2882, d4.loss_bbox: 0.9580, d4.loss_iou: 1.2776, loss: 21.1097, grad_norm: 20.4272 2022-10-26 18:23:42,535 - mmdet - INFO - Epoch [1][1400/1849] lr: 2.000e-04, eta: 9:24:26, time: 0.346, data_time: 0.009, memory: 4053, loss_contrastive: 7.0788, loss_bbox: 0.9434, loss_iou: 1.2651, d0.loss_bbox: 1.0524, d0.loss_iou: 1.3636, d1.loss_bbox: 1.0143, d1.loss_iou: 1.3278, d2.loss_bbox: 0.9844, d2.loss_iou: 1.3034, d3.loss_bbox: 0.9508, d3.loss_iou: 1.2714, d4.loss_bbox: 0.9403, d4.loss_iou: 1.2640, loss: 20.7596, grad_norm: 17.4413 2022-10-26 18:23:59,741 - mmdet - INFO - Epoch [1][1450/1849] lr: 2.000e-04, eta: 9:22:40, time: 0.344, data_time: 0.008, memory: 4053, loss_contrastive: 6.9261, loss_bbox: 0.9275, loss_iou: 1.2503, d0.loss_bbox: 1.0328, d0.loss_iou: 1.3538, d1.loss_bbox: 0.9738, d1.loss_iou: 1.2935, d2.loss_bbox: 0.9539, d2.loss_iou: 1.2748, d3.loss_bbox: 0.9317, d3.loss_iou: 1.2527, d4.loss_bbox: 0.9221, d4.loss_iou: 1.2471, loss: 20.3400, grad_norm: 15.4718 2022-10-26 18:24:17,029 - mmdet - INFO - Epoch [1][1500/1849] lr: 2.000e-04, eta: 9:21:05, time: 0.346, data_time: 0.008, memory: 4053, loss_contrastive: 6.7441, loss_bbox: 0.9070, loss_iou: 1.2372, d0.loss_bbox: 1.0149, d0.loss_iou: 1.3325, d1.loss_bbox: 0.9484, d1.loss_iou: 1.2738, d2.loss_bbox: 0.9302, d2.loss_iou: 1.2541, d3.loss_bbox: 0.9098, d3.loss_iou: 1.2362, d4.loss_bbox: 0.9031, d4.loss_iou: 1.2331, loss: 19.9244, grad_norm: 14.9345 2022-10-26 18:24:34,363 - mmdet - INFO - Epoch [1][1550/1849] lr: 2.000e-04, eta: 9:19:38, time: 0.347, data_time: 0.008, memory: 4053, loss_contrastive: 6.5446, loss_bbox: 0.8950, loss_iou: 1.2274, d0.loss_bbox: 0.9944, d0.loss_iou: 1.3134, d1.loss_bbox: 0.9367, d1.loss_iou: 1.2614, d2.loss_bbox: 0.9179, d2.loss_iou: 1.2444, d3.loss_bbox: 0.8983, d3.loss_iou: 1.2275, d4.loss_bbox: 0.8916, d4.loss_iou: 1.2234, loss: 19.5759, grad_norm: 15.1515 2022-10-26 18:24:51,742 - mmdet - INFO - Epoch [1][1600/1849] lr: 2.000e-04, eta: 9:18:18, time: 0.348, data_time: 0.008, memory: 4053, loss_contrastive: 6.3484, loss_bbox: 0.8830, loss_iou: 1.2183, d0.loss_bbox: 0.9777, d0.loss_iou: 1.2968, d1.loss_bbox: 0.9247, d1.loss_iou: 1.2531, d2.loss_bbox: 0.9066, d2.loss_iou: 1.2379, d3.loss_bbox: 0.8855, d3.loss_iou: 1.2206, d4.loss_bbox: 0.8815, d4.loss_iou: 1.2152, loss: 19.2492, grad_norm: 15.8076 2022-10-26 18:25:09,116 - mmdet - INFO - Epoch [1][1650/1849] lr: 2.000e-04, eta: 9:17:01, time: 0.347, data_time: 0.008, memory: 4053, loss_contrastive: 6.1585, loss_bbox: 0.8741, loss_iou: 1.2113, d0.loss_bbox: 0.9646, d0.loss_iou: 1.2859, d1.loss_bbox: 0.9171, d1.loss_iou: 1.2467, d2.loss_bbox: 0.8994, d2.loss_iou: 1.2315, d3.loss_bbox: 0.8796, d3.loss_iou: 1.2137, d4.loss_bbox: 0.8723, d4.loss_iou: 1.2088, loss: 18.9634, grad_norm: 13.8520 2022-10-26 18:25:26,449 - mmdet - INFO - Epoch [1][1700/1849] lr: 2.000e-04, eta: 9:15:45, time: 0.347, data_time: 0.008, memory: 4053, loss_contrastive: 5.9905, loss_bbox: 0.8611, loss_iou: 1.1976, d0.loss_bbox: 0.9495, d0.loss_iou: 1.2685, d1.loss_bbox: 0.9024, d1.loss_iou: 1.2310, d2.loss_bbox: 0.8848, d2.loss_iou: 1.2163, d3.loss_bbox: 0.8669, d3.loss_iou: 1.1985, d4.loss_bbox: 0.8611, d4.loss_iou: 1.1954, loss: 18.6235, grad_norm: 13.9270 2022-10-26 18:25:43,589 - mmdet - INFO - Epoch [1][1750/1849] lr: 2.000e-04, eta: 9:14:22, time: 0.343, data_time: 0.008, memory: 4053, loss_contrastive: 5.8400, loss_bbox: 0.8598, loss_iou: 1.1942, d0.loss_bbox: 0.9465, d0.loss_iou: 1.2634, d1.loss_bbox: 0.8961, d1.loss_iou: 1.2255, d2.loss_bbox: 0.8797, d2.loss_iou: 1.2122, d3.loss_bbox: 0.8627, d3.loss_iou: 1.1972, d4.loss_bbox: 0.8567, d4.loss_iou: 1.1925, loss: 18.4267, grad_norm: 14.4241 2022-10-26 18:26:00,655 - mmdet - INFO - Epoch [1][1800/1849] lr: 2.000e-04, eta: 9:13:00, time: 0.341, data_time: 0.008, memory: 4053, loss_contrastive: 5.7075, loss_bbox: 0.8521, loss_iou: 1.1875, d0.loss_bbox: 0.9408, d0.loss_iou: 1.2573, d1.loss_bbox: 0.8890, d1.loss_iou: 1.2193, d2.loss_bbox: 0.8725, d2.loss_iou: 1.2045, d3.loss_bbox: 0.8586, d3.loss_iou: 1.1912, d4.loss_bbox: 0.8520, d4.loss_iou: 1.1855, loss: 18.2178, grad_norm: 13.8598 2022-10-26 18:26:18,001 - mmdet - INFO - Saving checkpoint at 1 epochs 2022-10-26 18:26:39,724 - mmdet - INFO - Epoch [2][50/1849] lr: 2.000e-04, eta: 8:59:51, time: 0.409, data_time: 0.068, memory: 4053, loss_contrastive: 5.4805, loss_bbox: 0.8434, loss_iou: 1.1837, d0.loss_bbox: 0.9321, d0.loss_iou: 1.2565, d1.loss_bbox: 0.8758, d1.loss_iou: 1.2124, d2.loss_bbox: 0.8625, d2.loss_iou: 1.2013, d3.loss_bbox: 0.8473, d3.loss_iou: 1.1873, d4.loss_bbox: 0.8429, d4.loss_iou: 1.1830, loss: 17.9088, grad_norm: 15.5847 2022-10-26 18:26:57,030 - mmdet - INFO - Epoch [2][100/1849] lr: 2.000e-04, eta: 8:59:06, time: 0.346, data_time: 0.008, memory: 4053, loss_contrastive: 5.3657, loss_bbox: 0.8364, loss_iou: 1.1734, d0.loss_bbox: 0.9246, d0.loss_iou: 1.2458, d1.loss_bbox: 0.8675, d1.loss_iou: 1.2015, d2.loss_bbox: 0.8537, d2.loss_iou: 1.1885, d3.loss_bbox: 0.8395, d3.loss_iou: 1.1768, d4.loss_bbox: 0.8348, d4.loss_iou: 1.1719, loss: 17.6803, grad_norm: 12.8438 2022-10-26 18:27:14,240 - mmdet - INFO - Epoch [2][150/1849] lr: 2.000e-04, eta: 8:58:19, time: 0.344, data_time: 0.009, memory: 4053, loss_contrastive: 5.2708, loss_bbox: 0.8363, loss_iou: 1.1718, d0.loss_bbox: 0.9260, d0.loss_iou: 1.2458, d1.loss_bbox: 0.8655, d1.loss_iou: 1.1984, d2.loss_bbox: 0.8533, d2.loss_iou: 1.1857, d3.loss_bbox: 0.8404, d3.loss_iou: 1.1748, d4.loss_bbox: 0.8348, d4.loss_iou: 1.1701, loss: 17.5736, grad_norm: 12.8326 2022-10-26 18:27:32,016 - mmdet - INFO - Epoch [2][200/1849] lr: 2.000e-04, eta: 8:57:57, time: 0.355, data_time: 0.008, memory: 4053, loss_contrastive: 5.2004, loss_bbox: 0.8351, loss_iou: 1.1639, d0.loss_bbox: 0.9212, d0.loss_iou: 1.2390, d1.loss_bbox: 0.8610, d1.loss_iou: 1.1884, d2.loss_bbox: 0.8499, d2.loss_iou: 1.1777, d3.loss_bbox: 0.8384, d3.loss_iou: 1.1670, d4.loss_bbox: 0.8338, d4.loss_iou: 1.1623, loss: 17.4383, grad_norm: 12.5780 2022-10-26 18:27:49,335 - mmdet - INFO - Epoch [2][250/1849] lr: 2.000e-04, eta: 8:57:16, time: 0.346, data_time: 0.009, memory: 4053, loss_contrastive: 5.1216, loss_bbox: 0.8275, loss_iou: 1.1698, d0.loss_bbox: 0.9169, d0.loss_iou: 1.2466, d1.loss_bbox: 0.8539, d1.loss_iou: 1.1933, d2.loss_bbox: 0.8419, d2.loss_iou: 1.1827, d3.loss_bbox: 0.8307, d3.loss_iou: 1.1718, d4.loss_bbox: 0.8266, d4.loss_iou: 1.1680, loss: 17.3514, grad_norm: 14.1480 2022-10-26 18:28:07,152 - mmdet - INFO - Epoch [2][300/1849] lr: 2.000e-04, eta: 8:56:58, time: 0.356, data_time: 0.008, memory: 4053, loss_contrastive: 5.0373, loss_bbox: 0.8268, loss_iou: 1.1585, d0.loss_bbox: 0.9139, d0.loss_iou: 1.2357, d1.loss_bbox: 0.8526, d1.loss_iou: 1.1823, d2.loss_bbox: 0.8409, d2.loss_iou: 1.1722, d3.loss_bbox: 0.8315, d3.loss_iou: 1.1628, d4.loss_bbox: 0.8269, d4.loss_iou: 1.1583, loss: 17.1995, grad_norm: 15.4807 2022-10-26 18:28:24,239 - mmdet - INFO - Epoch [2][350/1849] lr: 2.000e-04, eta: 8:56:09, time: 0.342, data_time: 0.008, memory: 4053, loss_contrastive: 4.9681, loss_bbox: 0.8231, loss_iou: 1.1580, d0.loss_bbox: 0.9127, d0.loss_iou: 1.2372, d1.loss_bbox: 0.8498, d1.loss_iou: 1.1816, d2.loss_bbox: 0.8377, d2.loss_iou: 1.1709, d3.loss_bbox: 0.8262, d3.loss_iou: 1.1623, d4.loss_bbox: 0.8215, d4.loss_iou: 1.1572, loss: 17.1064, grad_norm: 12.8090 2022-10-26 18:28:41,591 - mmdet - INFO - Epoch [2][400/1849] lr: 2.000e-04, eta: 8:55:32, time: 0.347, data_time: 0.008, memory: 4053, loss_contrastive: 4.9056, loss_bbox: 0.8166, loss_iou: 1.1585, d0.loss_bbox: 0.9083, d0.loss_iou: 1.2394, d1.loss_bbox: 0.8441, d1.loss_iou: 1.1818, d2.loss_bbox: 0.8325, d2.loss_iou: 1.1726, d3.loss_bbox: 0.8212, d3.loss_iou: 1.1624, d4.loss_bbox: 0.8162, d4.loss_iou: 1.1582, loss: 17.0173, grad_norm: 13.4290 2022-10-26 18:28:58,878 - mmdet - INFO - Epoch [2][450/1849] lr: 2.000e-04, eta: 8:54:54, time: 0.346, data_time: 0.008, memory: 4053, loss_contrastive: 4.8462, loss_bbox: 0.8179, loss_iou: 1.1513, d0.loss_bbox: 0.9056, d0.loss_iou: 1.2323, d1.loss_bbox: 0.8432, d1.loss_iou: 1.1751, d2.loss_bbox: 0.8310, d2.loss_iou: 1.1635, d3.loss_bbox: 0.8205, d3.loss_iou: 1.1537, d4.loss_bbox: 0.8173, d4.loss_iou: 1.1503, loss: 16.9078, grad_norm: 12.5339 2022-10-26 18:29:16,660 - mmdet - INFO - Epoch [2][500/1849] lr: 2.000e-04, eta: 8:54:35, time: 0.356, data_time: 0.009, memory: 4053, loss_contrastive: 4.7839, loss_bbox: 0.8123, loss_iou: 1.1487, d0.loss_bbox: 0.9019, d0.loss_iou: 1.2307, d1.loss_bbox: 0.8382, d1.loss_iou: 1.1727, d2.loss_bbox: 0.8253, d2.loss_iou: 1.1616, d3.loss_bbox: 0.8153, d3.loss_iou: 1.1523, d4.loss_bbox: 0.8120, d4.loss_iou: 1.1485, loss: 16.8034, grad_norm: 13.0477 2022-10-26 18:29:34,486 - mmdet - INFO - Epoch [2][550/1849] lr: 2.000e-04, eta: 8:54:18, time: 0.357, data_time: 0.009, memory: 4053, loss_contrastive: 4.7372, loss_bbox: 0.8114, loss_iou: 1.1479, d0.loss_bbox: 0.9006, d0.loss_iou: 1.2292, d1.loss_bbox: 0.8356, d1.loss_iou: 1.1726, d2.loss_bbox: 0.8250, d2.loss_iou: 1.1605, d3.loss_bbox: 0.8139, d3.loss_iou: 1.1514, d4.loss_bbox: 0.8102, d4.loss_iou: 1.1464, loss: 16.7417, grad_norm: 12.4946 2022-10-26 18:29:51,928 - mmdet - INFO - Epoch [2][600/1849] lr: 2.000e-04, eta: 8:53:47, time: 0.349, data_time: 0.008, memory: 4053, loss_contrastive: 4.6777, loss_bbox: 0.8107, loss_iou: 1.1457, d0.loss_bbox: 0.8939, d0.loss_iou: 1.2255, d1.loss_bbox: 0.8340, d1.loss_iou: 1.1685, d2.loss_bbox: 0.8234, d2.loss_iou: 1.1582, d3.loss_bbox: 0.8134, d3.loss_iou: 1.1490, d4.loss_bbox: 0.8101, d4.loss_iou: 1.1457, loss: 16.6560, grad_norm: 15.3352 2022-10-26 18:30:09,459 - mmdet - INFO - Epoch [2][650/1849] lr: 2.000e-04, eta: 8:53:20, time: 0.351, data_time: 0.008, memory: 4053, loss_contrastive: 4.6367, loss_bbox: 0.8068, loss_iou: 1.1436, d0.loss_bbox: 0.8950, d0.loss_iou: 1.2253, d1.loss_bbox: 0.8321, d1.loss_iou: 1.1663, d2.loss_bbox: 0.8205, d2.loss_iou: 1.1555, d3.loss_bbox: 0.8108, d3.loss_iou: 1.1468, d4.loss_bbox: 0.8068, d4.loss_iou: 1.1419, loss: 16.5882, grad_norm: 13.0649 2022-10-26 18:30:26,826 - mmdet - INFO - Epoch [2][700/1849] lr: 2.000e-04, eta: 8:52:48, time: 0.347, data_time: 0.008, memory: 4053, loss_contrastive: 4.5999, loss_bbox: 0.8036, loss_iou: 1.1388, d0.loss_bbox: 0.8913, d0.loss_iou: 1.2225, d1.loss_bbox: 0.8296, d1.loss_iou: 1.1643, d2.loss_bbox: 0.8178, d2.loss_iou: 1.1531, d3.loss_bbox: 0.8082, d3.loss_iou: 1.1441, d4.loss_bbox: 0.8031, d4.loss_iou: 1.1386, loss: 16.5149, grad_norm: 14.4989 2022-10-26 18:30:44,437 - mmdet - INFO - Epoch [2][750/1849] lr: 2.000e-04, eta: 8:52:24, time: 0.352, data_time: 0.008, memory: 4053, loss_contrastive: 4.5551, loss_bbox: 0.8087, loss_iou: 1.1411, d0.loss_bbox: 0.8944, d0.loss_iou: 1.2212, d1.loss_bbox: 0.8338, d1.loss_iou: 1.1654, d2.loss_bbox: 0.8209, d2.loss_iou: 1.1545, d3.loss_bbox: 0.8115, d3.loss_iou: 1.1439, d4.loss_bbox: 0.8083, d4.loss_iou: 1.1400, loss: 16.4988, grad_norm: 14.2230 2022-10-26 18:31:01,804 - mmdet - INFO - Epoch [2][800/1849] lr: 2.000e-04, eta: 8:51:52, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 4.5182, loss_bbox: 0.8015, loss_iou: 1.1355, d0.loss_bbox: 0.8883, d0.loss_iou: 1.2180, d1.loss_bbox: 0.8274, d1.loss_iou: 1.1598, d2.loss_bbox: 0.8150, d2.loss_iou: 1.1499, d3.loss_bbox: 0.8054, d3.loss_iou: 1.1403, d4.loss_bbox: 0.8012, d4.loss_iou: 1.1352, loss: 16.3959, grad_norm: 13.3054 2022-10-26 18:31:19,238 - mmdet - INFO - Epoch [2][850/1849] lr: 2.000e-04, eta: 8:51:23, time: 0.349, data_time: 0.009, memory: 4053, loss_contrastive: 4.4817, loss_bbox: 0.8019, loss_iou: 1.1374, d0.loss_bbox: 0.8856, d0.loss_iou: 1.2175, d1.loss_bbox: 0.8253, d1.loss_iou: 1.1609, d2.loss_bbox: 0.8143, d2.loss_iou: 1.1501, d3.loss_bbox: 0.8050, d3.loss_iou: 1.1401, d4.loss_bbox: 0.8015, d4.loss_iou: 1.1366, loss: 16.3579, grad_norm: 14.3811 2022-10-26 18:31:36,853 - mmdet - INFO - Epoch [2][900/1849] lr: 2.000e-04, eta: 8:51:01, time: 0.352, data_time: 0.009, memory: 4053, loss_contrastive: 4.4418, loss_bbox: 0.7988, loss_iou: 1.1311, d0.loss_bbox: 0.8809, d0.loss_iou: 1.2114, d1.loss_bbox: 0.8228, d1.loss_iou: 1.1541, d2.loss_bbox: 0.8112, d2.loss_iou: 1.1439, d3.loss_bbox: 0.8028, d3.loss_iou: 1.1346, d4.loss_bbox: 0.7984, d4.loss_iou: 1.1311, loss: 16.2630, grad_norm: 14.0761 2022-10-26 18:31:54,564 - mmdet - INFO - Epoch [2][950/1849] lr: 2.000e-04, eta: 8:50:42, time: 0.354, data_time: 0.009, memory: 4053, loss_contrastive: 4.4206, loss_bbox: 0.7938, loss_iou: 1.1327, d0.loss_bbox: 0.8763, d0.loss_iou: 1.2146, d1.loss_bbox: 0.8173, d1.loss_iou: 1.1558, d2.loss_bbox: 0.8050, d2.loss_iou: 1.1442, d3.loss_bbox: 0.7964, d3.loss_iou: 1.1357, d4.loss_bbox: 0.7934, d4.loss_iou: 1.1314, loss: 16.2172, grad_norm: 12.6624 2022-10-26 18:32:11,991 - mmdet - INFO - Epoch [2][1000/1849] lr: 2.000e-04, eta: 8:50:13, time: 0.348, data_time: 0.009, memory: 4053, loss_contrastive: 4.3797, loss_bbox: 0.7934, loss_iou: 1.1260, d0.loss_bbox: 0.8755, d0.loss_iou: 1.2074, d1.loss_bbox: 0.8189, d1.loss_iou: 1.1513, d2.loss_bbox: 0.8063, d2.loss_iou: 1.1403, d3.loss_bbox: 0.7964, d3.loss_iou: 1.1306, d4.loss_bbox: 0.7927, d4.loss_iou: 1.1262, loss: 16.1448, grad_norm: 13.6941 2022-10-26 18:32:29,565 - mmdet - INFO - Epoch [2][1050/1849] lr: 2.000e-04, eta: 8:49:50, time: 0.352, data_time: 0.009, memory: 4053, loss_contrastive: 4.3543, loss_bbox: 0.7883, loss_iou: 1.1296, d0.loss_bbox: 0.8688, d0.loss_iou: 1.2110, d1.loss_bbox: 0.8117, d1.loss_iou: 1.1548, d2.loss_bbox: 0.7998, d2.loss_iou: 1.1431, d3.loss_bbox: 0.7920, d3.loss_iou: 1.1336, d4.loss_bbox: 0.7877, d4.loss_iou: 1.1288, loss: 16.1036, grad_norm: 13.7227 2022-10-26 18:32:47,219 - mmdet - INFO - Epoch [2][1100/1849] lr: 2.000e-04, eta: 8:49:29, time: 0.353, data_time: 0.009, memory: 4053, loss_contrastive: 4.3370, loss_bbox: 0.7914, loss_iou: 1.1280, d0.loss_bbox: 0.8703, d0.loss_iou: 1.2057, d1.loss_bbox: 0.8166, d1.loss_iou: 1.1520, d2.loss_bbox: 0.8049, d2.loss_iou: 1.1401, d3.loss_bbox: 0.7963, d3.loss_iou: 1.1317, d4.loss_bbox: 0.7913, d4.loss_iou: 1.1279, loss: 16.0932, grad_norm: 13.3484 2022-10-26 18:33:04,371 - mmdet - INFO - Epoch [2][1150/1849] lr: 2.000e-04, eta: 8:48:53, time: 0.343, data_time: 0.009, memory: 4053, loss_contrastive: 4.3089, loss_bbox: 0.7946, loss_iou: 1.1291, d0.loss_bbox: 0.8704, d0.loss_iou: 1.2037, d1.loss_bbox: 0.8179, d1.loss_iou: 1.1514, d2.loss_bbox: 0.8059, d2.loss_iou: 1.1399, d3.loss_bbox: 0.7967, d3.loss_iou: 1.1327, d4.loss_bbox: 0.7939, d4.loss_iou: 1.1283, loss: 16.0735, grad_norm: 14.1041 2022-10-26 18:33:21,721 - mmdet - INFO - Epoch [2][1200/1849] lr: 2.000e-04, eta: 8:48:25, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 4.2778, loss_bbox: 0.7873, loss_iou: 1.1242, d0.loss_bbox: 0.8639, d0.loss_iou: 1.2010, d1.loss_bbox: 0.8103, d1.loss_iou: 1.1489, d2.loss_bbox: 0.7985, d2.loss_iou: 1.1366, d3.loss_bbox: 0.7894, d3.loss_iou: 1.1283, d4.loss_bbox: 0.7860, d4.loss_iou: 1.1233, loss: 15.9756, grad_norm: 14.3313 2022-10-26 18:33:39,013 - mmdet - INFO - Epoch [2][1250/1849] lr: 2.000e-04, eta: 8:47:54, time: 0.346, data_time: 0.008, memory: 4053, loss_contrastive: 4.2505, loss_bbox: 0.7889, loss_iou: 1.1217, d0.loss_bbox: 0.8638, d0.loss_iou: 1.1966, d1.loss_bbox: 0.8137, d1.loss_iou: 1.1457, d2.loss_bbox: 0.8019, d2.loss_iou: 1.1342, d3.loss_bbox: 0.7932, d3.loss_iou: 1.1260, d4.loss_bbox: 0.7884, d4.loss_iou: 1.1205, loss: 15.9451, grad_norm: 13.4016 2022-10-26 18:33:56,358 - mmdet - INFO - Epoch [2][1300/1849] lr: 2.000e-04, eta: 8:47:26, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 4.2322, loss_bbox: 0.7895, loss_iou: 1.1197, d0.loss_bbox: 0.8630, d0.loss_iou: 1.1930, d1.loss_bbox: 0.8127, d1.loss_iou: 1.1435, d2.loss_bbox: 0.8024, d2.loss_iou: 1.1317, d3.loss_bbox: 0.7935, d3.loss_iou: 1.1243, d4.loss_bbox: 0.7897, d4.loss_iou: 1.1194, loss: 15.9146, grad_norm: 13.3419 2022-10-26 18:34:13,990 - mmdet - INFO - Epoch [2][1350/1849] lr: 2.000e-04, eta: 8:47:06, time: 0.353, data_time: 0.009, memory: 4053, loss_contrastive: 4.2055, loss_bbox: 0.7833, loss_iou: 1.1219, d0.loss_bbox: 0.8563, d0.loss_iou: 1.1963, d1.loss_bbox: 0.8055, d1.loss_iou: 1.1462, d2.loss_bbox: 0.7940, d2.loss_iou: 1.1344, d3.loss_bbox: 0.7858, d3.loss_iou: 1.1250, d4.loss_bbox: 0.7823, d4.loss_iou: 1.1216, loss: 15.8582, grad_norm: 14.3698 2022-10-26 18:34:31,556 - mmdet - INFO - Epoch [2][1400/1849] lr: 2.000e-04, eta: 8:46:44, time: 0.351, data_time: 0.009, memory: 4053, loss_contrastive: 4.1855, loss_bbox: 0.7854, loss_iou: 1.1162, d0.loss_bbox: 0.8582, d0.loss_iou: 1.1886, d1.loss_bbox: 0.8082, d1.loss_iou: 1.1393, d2.loss_bbox: 0.7961, d2.loss_iou: 1.1282, d3.loss_bbox: 0.7882, d3.loss_iou: 1.1196, d4.loss_bbox: 0.7852, d4.loss_iou: 1.1157, loss: 15.8146, grad_norm: 13.7674 2022-10-26 18:34:49,272 - mmdet - INFO - Epoch [2][1450/1849] lr: 2.000e-04, eta: 8:46:26, time: 0.354, data_time: 0.009, memory: 4053, loss_contrastive: 4.1660, loss_bbox: 0.7847, loss_iou: 1.1161, d0.loss_bbox: 0.8543, d0.loss_iou: 1.1871, d1.loss_bbox: 0.8075, d1.loss_iou: 1.1394, d2.loss_bbox: 0.7971, d2.loss_iou: 1.1290, d3.loss_bbox: 0.7887, d3.loss_iou: 1.1198, d4.loss_bbox: 0.7843, d4.loss_iou: 1.1152, loss: 15.7891, grad_norm: 12.5323 2022-10-26 18:35:06,690 - mmdet - INFO - Epoch [2][1500/1849] lr: 2.000e-04, eta: 8:46:00, time: 0.348, data_time: 0.009, memory: 4053, loss_contrastive: 4.1452, loss_bbox: 0.7808, loss_iou: 1.1109, d0.loss_bbox: 0.8515, d0.loss_iou: 1.1822, d1.loss_bbox: 0.8042, d1.loss_iou: 1.1355, d2.loss_bbox: 0.7928, d2.loss_iou: 1.1237, d3.loss_bbox: 0.7848, d3.loss_iou: 1.1149, d4.loss_bbox: 0.7803, d4.loss_iou: 1.1106, loss: 15.7172, grad_norm: 12.7582 2022-10-26 18:35:23,980 - mmdet - INFO - Epoch [2][1550/1849] lr: 2.000e-04, eta: 8:45:32, time: 0.346, data_time: 0.009, memory: 4053, loss_contrastive: 4.1332, loss_bbox: 0.7804, loss_iou: 1.1110, d0.loss_bbox: 0.8516, d0.loss_iou: 1.1827, d1.loss_bbox: 0.8050, d1.loss_iou: 1.1358, d2.loss_bbox: 0.7923, d2.loss_iou: 1.1228, d3.loss_bbox: 0.7837, d3.loss_iou: 1.1144, d4.loss_bbox: 0.7797, d4.loss_iou: 1.1103, loss: 15.7030, grad_norm: 12.9585 2022-10-26 18:35:41,298 - mmdet - INFO - Epoch [2][1600/1849] lr: 2.000e-04, eta: 8:45:04, time: 0.346, data_time: 0.009, memory: 4053, loss_contrastive: 4.1071, loss_bbox: 0.7791, loss_iou: 1.1121, d0.loss_bbox: 0.8483, d0.loss_iou: 1.1799, d1.loss_bbox: 0.8036, d1.loss_iou: 1.1363, d2.loss_bbox: 0.7915, d2.loss_iou: 1.1245, d3.loss_bbox: 0.7832, d3.loss_iou: 1.1163, d4.loss_bbox: 0.7792, d4.loss_iou: 1.1117, loss: 15.6729, grad_norm: 12.2406 2022-10-26 18:35:58,644 - mmdet - INFO - Epoch [2][1650/1849] lr: 2.000e-04, eta: 8:44:37, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 4.0847, loss_bbox: 0.7789, loss_iou: 1.1134, d0.loss_bbox: 0.8463, d0.loss_iou: 1.1824, d1.loss_bbox: 0.8005, d1.loss_iou: 1.1374, d2.loss_bbox: 0.7897, d2.loss_iou: 1.1261, d3.loss_bbox: 0.7813, d3.loss_iou: 1.1179, d4.loss_bbox: 0.7781, d4.loss_iou: 1.1133, loss: 15.6500, grad_norm: 13.0049 2022-10-26 18:36:16,101 - mmdet - INFO - Epoch [2][1700/1849] lr: 2.000e-04, eta: 8:44:14, time: 0.349, data_time: 0.009, memory: 4053, loss_contrastive: 4.0748, loss_bbox: 0.7775, loss_iou: 1.1095, d0.loss_bbox: 0.8461, d0.loss_iou: 1.1784, d1.loss_bbox: 0.8016, d1.loss_iou: 1.1346, d2.loss_bbox: 0.7896, d2.loss_iou: 1.1213, d3.loss_bbox: 0.7812, d3.loss_iou: 1.1130, d4.loss_bbox: 0.7770, d4.loss_iou: 1.1088, loss: 15.6132, grad_norm: 13.1800 2022-10-26 18:36:33,597 - mmdet - INFO - Epoch [2][1750/1849] lr: 2.000e-04, eta: 8:43:51, time: 0.350, data_time: 0.009, memory: 4053, loss_contrastive: 4.0508, loss_bbox: 0.7760, loss_iou: 1.1122, d0.loss_bbox: 0.8412, d0.loss_iou: 1.1780, d1.loss_bbox: 0.7980, d1.loss_iou: 1.1357, d2.loss_bbox: 0.7873, d2.loss_iou: 1.1230, d3.loss_bbox: 0.7791, d3.loss_iou: 1.1148, d4.loss_bbox: 0.7757, d4.loss_iou: 1.1118, loss: 15.5837, grad_norm: 13.0829 2022-10-26 18:36:51,139 - mmdet - INFO - Epoch [2][1800/1849] lr: 2.000e-04, eta: 8:43:30, time: 0.351, data_time: 0.009, memory: 4053, loss_contrastive: 4.0426, loss_bbox: 0.7740, loss_iou: 1.1082, d0.loss_bbox: 0.8405, d0.loss_iou: 1.1763, d1.loss_bbox: 0.7973, d1.loss_iou: 1.1328, d2.loss_bbox: 0.7860, d2.loss_iou: 1.1202, d3.loss_bbox: 0.7780, d3.loss_iou: 1.1119, d4.loss_bbox: 0.7734, d4.loss_iou: 1.1073, loss: 15.5485, grad_norm: 13.5951 2022-10-26 18:37:08,582 - mmdet - INFO - Saving checkpoint at 2 epochs 2022-10-26 18:37:30,478 - mmdet - INFO - Epoch [3][50/1849] lr: 2.000e-04, eta: 8:37:14, time: 0.412, data_time: 0.069, memory: 4053, loss_contrastive: 3.9981, loss_bbox: 0.7725, loss_iou: 1.1040, d0.loss_bbox: 0.8362, d0.loss_iou: 1.1696, d1.loss_bbox: 0.7944, d1.loss_iou: 1.1276, d2.loss_bbox: 0.7831, d2.loss_iou: 1.1157, d3.loss_bbox: 0.7753, d3.loss_iou: 1.1073, d4.loss_bbox: 0.7718, d4.loss_iou: 1.1032, loss: 15.4586, grad_norm: 13.2310 2022-10-26 18:37:47,701 - mmdet - INFO - Epoch [3][100/1849] lr: 2.000e-04, eta: 8:36:50, time: 0.344, data_time: 0.008, memory: 4053, loss_contrastive: 3.9814, loss_bbox: 0.7721, loss_iou: 1.1037, d0.loss_bbox: 0.8362, d0.loss_iou: 1.1685, d1.loss_bbox: 0.7943, d1.loss_iou: 1.1275, d2.loss_bbox: 0.7836, d2.loss_iou: 1.1165, d3.loss_bbox: 0.7757, d3.loss_iou: 1.1082, d4.loss_bbox: 0.7712, d4.loss_iou: 1.1038, loss: 15.4426, grad_norm: 14.6408 2022-10-26 18:38:04,932 - mmdet - INFO - Epoch [3][150/1849] lr: 2.000e-04, eta: 8:36:27, time: 0.344, data_time: 0.009, memory: 4053, loss_contrastive: 3.9698, loss_bbox: 0.7727, loss_iou: 1.1010, d0.loss_bbox: 0.8378, d0.loss_iou: 1.1663, d1.loss_bbox: 0.7968, d1.loss_iou: 1.1256, d2.loss_bbox: 0.7841, d2.loss_iou: 1.1132, d3.loss_bbox: 0.7765, d3.loss_iou: 1.1048, d4.loss_bbox: 0.7730, d4.loss_iou: 1.1004, loss: 15.4221, grad_norm: 13.0543 2022-10-26 18:38:22,326 - mmdet - INFO - Epoch [3][200/1849] lr: 2.000e-04, eta: 8:36:07, time: 0.348, data_time: 0.009, memory: 4053, loss_contrastive: 3.9568, loss_bbox: 0.7664, loss_iou: 1.0994, d0.loss_bbox: 0.8311, d0.loss_iou: 1.1646, d1.loss_bbox: 0.7901, d1.loss_iou: 1.1249, d2.loss_bbox: 0.7778, d2.loss_iou: 1.1110, d3.loss_bbox: 0.7693, d3.loss_iou: 1.1021, d4.loss_bbox: 0.7665, d4.loss_iou: 1.0988, loss: 15.3588, grad_norm: 12.2792 2022-10-26 18:38:39,602 - mmdet - INFO - Epoch [3][250/1849] lr: 2.000e-04, eta: 8:35:45, time: 0.345, data_time: 0.008, memory: 4053, loss_contrastive: 3.9459, loss_bbox: 0.7681, loss_iou: 1.0999, d0.loss_bbox: 0.8305, d0.loss_iou: 1.1638, d1.loss_bbox: 0.7901, d1.loss_iou: 1.1249, d2.loss_bbox: 0.7786, d2.loss_iou: 1.1118, d3.loss_bbox: 0.7709, d3.loss_iou: 1.1036, d4.loss_bbox: 0.7667, d4.loss_iou: 1.0986, loss: 15.3534, grad_norm: 13.6041 2022-10-26 18:38:56,769 - mmdet - INFO - Epoch [3][300/1849] lr: 2.000e-04, eta: 8:35:20, time: 0.343, data_time: 0.009, memory: 4053, loss_contrastive: 3.9296, loss_bbox: 0.7679, loss_iou: 1.0992, d0.loss_bbox: 0.8314, d0.loss_iou: 1.1633, d1.loss_bbox: 0.7910, d1.loss_iou: 1.1241, d2.loss_bbox: 0.7793, d2.loss_iou: 1.1112, d3.loss_bbox: 0.7710, d3.loss_iou: 1.1023, d4.loss_bbox: 0.7679, d4.loss_iou: 1.0982, loss: 15.3365, grad_norm: 13.4058 2022-10-26 18:39:14,066 - mmdet - INFO - Epoch [3][350/1849] lr: 2.000e-04, eta: 8:34:59, time: 0.346, data_time: 0.008, memory: 4053, loss_contrastive: 3.9184, loss_bbox: 0.7688, loss_iou: 1.0988, d0.loss_bbox: 0.8300, d0.loss_iou: 1.1610, d1.loss_bbox: 0.7920, d1.loss_iou: 1.1229, d2.loss_bbox: 0.7799, d2.loss_iou: 1.1105, d3.loss_bbox: 0.7722, d3.loss_iou: 1.1024, d4.loss_bbox: 0.7689, d4.loss_iou: 1.0988, loss: 15.3246, grad_norm: 13.9983 2022-10-26 18:39:31,435 - mmdet - INFO - Epoch [3][400/1849] lr: 2.000e-04, eta: 8:34:39, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 3.9042, loss_bbox: 0.7676, loss_iou: 1.0970, d0.loss_bbox: 0.8278, d0.loss_iou: 1.1577, d1.loss_bbox: 0.7894, d1.loss_iou: 1.1202, d2.loss_bbox: 0.7777, d2.loss_iou: 1.1076, d3.loss_bbox: 0.7707, d3.loss_iou: 1.0996, d4.loss_bbox: 0.7672, d4.loss_iou: 1.0959, loss: 15.2826, grad_norm: 13.5603 2022-10-26 18:39:48,685 - mmdet - INFO - Epoch [3][450/1849] lr: 2.000e-04, eta: 8:34:17, time: 0.345, data_time: 0.009, memory: 4053, loss_contrastive: 3.8866, loss_bbox: 0.7656, loss_iou: 1.0920, d0.loss_bbox: 0.8274, d0.loss_iou: 1.1534, d1.loss_bbox: 0.7890, d1.loss_iou: 1.1174, d2.loss_bbox: 0.7775, d2.loss_iou: 1.1036, d3.loss_bbox: 0.7697, d3.loss_iou: 1.0949, d4.loss_bbox: 0.7648, d4.loss_iou: 1.0915, loss: 15.2334, grad_norm: 12.9258 2022-10-26 18:40:05,848 - mmdet - INFO - Epoch [3][500/1849] lr: 2.000e-04, eta: 8:33:53, time: 0.343, data_time: 0.009, memory: 4053, loss_contrastive: 3.8724, loss_bbox: 0.7610, loss_iou: 1.0950, d0.loss_bbox: 0.8236, d0.loss_iou: 1.1583, d1.loss_bbox: 0.7847, d1.loss_iou: 1.1203, d2.loss_bbox: 0.7731, d2.loss_iou: 1.1060, d3.loss_bbox: 0.7649, d3.loss_iou: 1.0981, d4.loss_bbox: 0.7609, d4.loss_iou: 1.0943, loss: 15.2126, grad_norm: 13.7376 2022-10-26 18:40:23,606 - mmdet - INFO - Epoch [3][550/1849] lr: 2.000e-04, eta: 8:33:41, time: 0.355, data_time: 0.009, memory: 4053, loss_contrastive: 3.8713, loss_bbox: 0.7663, loss_iou: 1.0986, d0.loss_bbox: 0.8262, d0.loss_iou: 1.1604, d1.loss_bbox: 0.7875, d1.loss_iou: 1.1228, d2.loss_bbox: 0.7765, d2.loss_iou: 1.1109, d3.loss_bbox: 0.7690, d3.loss_iou: 1.1022, d4.loss_bbox: 0.7663, d4.loss_iou: 1.0977, loss: 15.2556, grad_norm: 12.9108 2022-10-26 18:40:40,843 - mmdet - INFO - Epoch [3][600/1849] lr: 2.000e-04, eta: 8:33:19, time: 0.345, data_time: 0.009, memory: 4053, loss_contrastive: 3.8500, loss_bbox: 0.7585, loss_iou: 1.0893, d0.loss_bbox: 0.8203, d0.loss_iou: 1.1503, d1.loss_bbox: 0.7817, d1.loss_iou: 1.1136, d2.loss_bbox: 0.7702, d2.loss_iou: 1.1013, d3.loss_bbox: 0.7629, d3.loss_iou: 1.0931, d4.loss_bbox: 0.7581, d4.loss_iou: 1.0889, loss: 15.1382, grad_norm: 12.6037 2022-10-26 18:40:58,157 - mmdet - INFO - Epoch [3][650/1849] lr: 2.000e-04, eta: 8:32:59, time: 0.346, data_time: 0.009, memory: 4053, loss_contrastive: 3.8389, loss_bbox: 0.7628, loss_iou: 1.0923, d0.loss_bbox: 0.8245, d0.loss_iou: 1.1544, d1.loss_bbox: 0.7856, d1.loss_iou: 1.1180, d2.loss_bbox: 0.7747, d2.loss_iou: 1.1054, d3.loss_bbox: 0.7657, d3.loss_iou: 1.0963, d4.loss_bbox: 0.7622, d4.loss_iou: 1.0921, loss: 15.1728, grad_norm: 12.0701 2022-10-26 18:41:15,140 - mmdet - INFO - Epoch [3][700/1849] lr: 2.000e-04, eta: 8:32:31, time: 0.340, data_time: 0.009, memory: 4053, loss_contrastive: 3.8283, loss_bbox: 0.7568, loss_iou: 1.0914, d0.loss_bbox: 0.8179, d0.loss_iou: 1.1517, d1.loss_bbox: 0.7808, d1.loss_iou: 1.1164, d2.loss_bbox: 0.7691, d2.loss_iou: 1.1031, d3.loss_bbox: 0.7602, d3.loss_iou: 1.0950, d4.loss_bbox: 0.7563, d4.loss_iou: 1.0908, loss: 15.1175, grad_norm: 12.9121 2022-10-26 18:41:32,416 - mmdet - INFO - Epoch [3][750/1849] lr: 2.000e-04, eta: 8:32:10, time: 0.345, data_time: 0.009, memory: 4053, loss_contrastive: 3.8197, loss_bbox: 0.7594, loss_iou: 1.0895, d0.loss_bbox: 0.8189, d0.loss_iou: 1.1510, d1.loss_bbox: 0.7819, d1.loss_iou: 1.1156, d2.loss_bbox: 0.7704, d2.loss_iou: 1.1020, d3.loss_bbox: 0.7618, d3.loss_iou: 1.0930, d4.loss_bbox: 0.7586, d4.loss_iou: 1.0886, loss: 15.1105, grad_norm: 11.8415 2022-10-26 18:41:49,629 - mmdet - INFO - Epoch [3][800/1849] lr: 2.000e-04, eta: 8:31:48, time: 0.344, data_time: 0.009, memory: 4053, loss_contrastive: 3.8001, loss_bbox: 0.7590, loss_iou: 1.0928, d0.loss_bbox: 0.8177, d0.loss_iou: 1.1542, d1.loss_bbox: 0.7819, d1.loss_iou: 1.1178, d2.loss_bbox: 0.7708, d2.loss_iou: 1.1048, d3.loss_bbox: 0.7629, d3.loss_iou: 1.0971, d4.loss_bbox: 0.7586, d4.loss_iou: 1.0925, loss: 15.1101, grad_norm: 14.5454 2022-10-26 18:42:06,913 - mmdet - INFO - Epoch [3][850/1849] lr: 2.000e-04, eta: 8:31:27, time: 0.346, data_time: 0.008, memory: 4053, loss_contrastive: 3.7914, loss_bbox: 0.7596, loss_iou: 1.0901, d0.loss_bbox: 0.8184, d0.loss_iou: 1.1512, d1.loss_bbox: 0.7827, d1.loss_iou: 1.1159, d2.loss_bbox: 0.7712, d2.loss_iou: 1.1026, d3.loss_bbox: 0.7622, d3.loss_iou: 1.0944, d4.loss_bbox: 0.7591, d4.loss_iou: 1.0897, loss: 15.0883, grad_norm: 13.9493 2022-10-26 18:42:24,826 - mmdet - INFO - Epoch [3][900/1849] lr: 2.000e-04, eta: 8:31:18, time: 0.358, data_time: 0.009, memory: 4053, loss_contrastive: 3.7836, loss_bbox: 0.7551, loss_iou: 1.0890, d0.loss_bbox: 0.8142, d0.loss_iou: 1.1498, d1.loss_bbox: 0.7783, d1.loss_iou: 1.1135, d2.loss_bbox: 0.7659, d2.loss_iou: 1.1007, d3.loss_bbox: 0.7589, d3.loss_iou: 1.0921, d4.loss_bbox: 0.7548, d4.loss_iou: 1.0880, loss: 15.0438, grad_norm: 12.9935 2022-10-26 18:42:42,308 - mmdet - INFO - Epoch [3][950/1849] lr: 2.000e-04, eta: 8:31:01, time: 0.350, data_time: 0.009, memory: 4053, loss_contrastive: 3.7752, loss_bbox: 0.7569, loss_iou: 1.0864, d0.loss_bbox: 0.8152, d0.loss_iou: 1.1454, d1.loss_bbox: 0.7814, d1.loss_iou: 1.1111, d2.loss_bbox: 0.7693, d2.loss_iou: 1.0979, d3.loss_bbox: 0.7609, d3.loss_iou: 1.0896, d4.loss_bbox: 0.7568, d4.loss_iou: 1.0857, loss: 15.0316, grad_norm: 12.4157 2022-10-26 18:42:59,601 - mmdet - INFO - Epoch [3][1000/1849] lr: 2.000e-04, eta: 8:30:41, time: 0.346, data_time: 0.009, memory: 4053, loss_contrastive: 3.7638, loss_bbox: 0.7576, loss_iou: 1.0886, d0.loss_bbox: 0.8147, d0.loss_iou: 1.1456, d1.loss_bbox: 0.7813, d1.loss_iou: 1.1135, d2.loss_bbox: 0.7690, d2.loss_iou: 1.1011, d3.loss_bbox: 0.7618, d3.loss_iou: 1.0923, d4.loss_bbox: 0.7573, d4.loss_iou: 1.0875, loss: 15.0342, grad_norm: 12.0381 2022-10-26 18:43:16,914 - mmdet - INFO - Epoch [3][1050/1849] lr: 2.000e-04, eta: 8:30:21, time: 0.346, data_time: 0.009, memory: 4053, loss_contrastive: 3.7534, loss_bbox: 0.7589, loss_iou: 1.0876, d0.loss_bbox: 0.8165, d0.loss_iou: 1.1453, d1.loss_bbox: 0.7817, d1.loss_iou: 1.1130, d2.loss_bbox: 0.7697, d2.loss_iou: 1.0991, d3.loss_bbox: 0.7618, d3.loss_iou: 1.0910, d4.loss_bbox: 0.7583, d4.loss_iou: 1.0873, loss: 15.0236, grad_norm: 13.5230 2022-10-26 18:43:34,062 - mmdet - INFO - Epoch [3][1100/1849] lr: 2.000e-04, eta: 8:29:57, time: 0.343, data_time: 0.009, memory: 4053, loss_contrastive: 3.7397, loss_bbox: 0.7534, loss_iou: 1.0823, d0.loss_bbox: 0.8106, d0.loss_iou: 1.1409, d1.loss_bbox: 0.7773, d1.loss_iou: 1.1089, d2.loss_bbox: 0.7648, d2.loss_iou: 1.0949, d3.loss_bbox: 0.7563, d3.loss_iou: 1.0861, d4.loss_bbox: 0.7528, d4.loss_iou: 1.0821, loss: 14.9501, grad_norm: 13.2439 2022-10-26 18:43:51,297 - mmdet - INFO - Epoch [3][1150/1849] lr: 2.000e-04, eta: 8:29:36, time: 0.345, data_time: 0.009, memory: 4053, loss_contrastive: 3.7434, loss_bbox: 0.7563, loss_iou: 1.0825, d0.loss_bbox: 0.8133, d0.loss_iou: 1.1407, d1.loss_bbox: 0.7794, d1.loss_iou: 1.1079, d2.loss_bbox: 0.7682, d2.loss_iou: 1.0941, d3.loss_bbox: 0.7592, d3.loss_iou: 1.0858, d4.loss_bbox: 0.7558, d4.loss_iou: 1.0816, loss: 14.9683, grad_norm: 12.5254 2022-10-26 18:44:08,448 - mmdet - INFO - Epoch [3][1200/1849] lr: 2.000e-04, eta: 8:29:13, time: 0.343, data_time: 0.009, memory: 4053, loss_contrastive: 3.7333, loss_bbox: 0.7532, loss_iou: 1.0818, d0.loss_bbox: 0.8098, d0.loss_iou: 1.1399, d1.loss_bbox: 0.7750, d1.loss_iou: 1.1075, d2.loss_bbox: 0.7639, d2.loss_iou: 1.0933, d3.loss_bbox: 0.7559, d3.loss_iou: 1.0855, d4.loss_bbox: 0.7525, d4.loss_iou: 1.0812, loss: 14.9329, grad_norm: 13.3555 2022-10-26 18:44:25,669 - mmdet - INFO - Epoch [3][1250/1849] lr: 2.000e-04, eta: 8:28:52, time: 0.344, data_time: 0.009, memory: 4053, loss_contrastive: 3.7184, loss_bbox: 0.7491, loss_iou: 1.0800, d0.loss_bbox: 0.8071, d0.loss_iou: 1.1399, d1.loss_bbox: 0.7728, d1.loss_iou: 1.1059, d2.loss_bbox: 0.7608, d2.loss_iou: 1.0925, d3.loss_bbox: 0.7530, d3.loss_iou: 1.0836, d4.loss_bbox: 0.7488, d4.loss_iou: 1.0795, loss: 14.8914, grad_norm: 13.0386 2022-10-26 18:44:43,430 - mmdet - INFO - Epoch [3][1300/1849] lr: 2.000e-04, eta: 8:28:40, time: 0.355, data_time: 0.009, memory: 4053, loss_contrastive: 3.7096, loss_bbox: 0.7497, loss_iou: 1.0806, d0.loss_bbox: 0.8078, d0.loss_iou: 1.1397, d1.loss_bbox: 0.7730, d1.loss_iou: 1.1074, d2.loss_bbox: 0.7609, d2.loss_iou: 1.0929, d3.loss_bbox: 0.7523, d3.loss_iou: 1.0842, d4.loss_bbox: 0.7491, d4.loss_iou: 1.0803, loss: 14.8874, grad_norm: 12.9609 2022-10-26 18:45:00,805 - mmdet - INFO - Epoch [3][1350/1849] lr: 2.000e-04, eta: 8:28:21, time: 0.348, data_time: 0.009, memory: 4053, loss_contrastive: 3.7033, loss_bbox: 0.7518, loss_iou: 1.0783, d0.loss_bbox: 0.8099, d0.loss_iou: 1.1366, d1.loss_bbox: 0.7753, d1.loss_iou: 1.1039, d2.loss_bbox: 0.7633, d2.loss_iou: 1.0909, d3.loss_bbox: 0.7555, d3.loss_iou: 1.0822, d4.loss_bbox: 0.7509, d4.loss_iou: 1.0781, loss: 14.8800, grad_norm: 12.6158 2022-10-26 18:45:18,160 - mmdet - INFO - Epoch [3][1400/1849] lr: 2.000e-04, eta: 8:28:02, time: 0.347, data_time: 0.008, memory: 4053, loss_contrastive: 3.6955, loss_bbox: 0.7513, loss_iou: 1.0816, d0.loss_bbox: 0.8091, d0.loss_iou: 1.1399, d1.loss_bbox: 0.7730, d1.loss_iou: 1.1071, d2.loss_bbox: 0.7624, d2.loss_iou: 1.0939, d3.loss_bbox: 0.7540, d3.loss_iou: 1.0852, d4.loss_bbox: 0.7508, d4.loss_iou: 1.0812, loss: 14.8850, grad_norm: 11.8827 2022-10-26 18:45:35,313 - mmdet - INFO - Epoch [3][1450/1849] lr: 2.000e-04, eta: 8:27:39, time: 0.343, data_time: 0.009, memory: 4053, loss_contrastive: 3.6934, loss_bbox: 0.7499, loss_iou: 1.0794, d0.loss_bbox: 0.8073, d0.loss_iou: 1.1378, d1.loss_bbox: 0.7736, d1.loss_iou: 1.1055, d2.loss_bbox: 0.7612, d2.loss_iou: 1.0914, d3.loss_bbox: 0.7532, d3.loss_iou: 1.0828, d4.loss_bbox: 0.7495, d4.loss_iou: 1.0787, loss: 14.8636, grad_norm: 13.6968 2022-10-26 18:45:52,720 - mmdet - INFO - Epoch [3][1500/1849] lr: 2.000e-04, eta: 8:27:21, time: 0.348, data_time: 0.009, memory: 4053, loss_contrastive: 3.6783, loss_bbox: 0.7486, loss_iou: 1.0797, d0.loss_bbox: 0.8064, d0.loss_iou: 1.1362, d1.loss_bbox: 0.7729, d1.loss_iou: 1.1044, d2.loss_bbox: 0.7607, d2.loss_iou: 1.0912, d3.loss_bbox: 0.7523, d3.loss_iou: 1.0827, d4.loss_bbox: 0.7486, d4.loss_iou: 1.0790, loss: 14.8411, grad_norm: 12.3848 2022-10-26 18:46:09,963 - mmdet - INFO - Epoch [3][1550/1849] lr: 2.000e-04, eta: 8:27:01, time: 0.345, data_time: 0.008, memory: 4053, loss_contrastive: 3.6748, loss_bbox: 0.7503, loss_iou: 1.0805, d0.loss_bbox: 0.8060, d0.loss_iou: 1.1370, d1.loss_bbox: 0.7734, d1.loss_iou: 1.1077, d2.loss_bbox: 0.7625, d2.loss_iou: 1.0935, d3.loss_bbox: 0.7540, d3.loss_iou: 1.0841, d4.loss_bbox: 0.7500, d4.loss_iou: 1.0799, loss: 14.8536, grad_norm: 12.0636 2022-10-26 18:46:27,284 - mmdet - INFO - Epoch [3][1600/1849] lr: 2.000e-04, eta: 8:26:41, time: 0.346, data_time: 0.009, memory: 4053, loss_contrastive: 3.6729, loss_bbox: 0.7501, loss_iou: 1.0788, d0.loss_bbox: 0.8044, d0.loss_iou: 1.1358, d1.loss_bbox: 0.7734, d1.loss_iou: 1.1043, d2.loss_bbox: 0.7606, d2.loss_iou: 1.0904, d3.loss_bbox: 0.7527, d3.loss_iou: 1.0814, d4.loss_bbox: 0.7500, d4.loss_iou: 1.0775, loss: 14.8324, grad_norm: 11.3103 2022-10-26 18:46:44,346 - mmdet - INFO - Epoch [3][1650/1849] lr: 2.000e-04, eta: 8:26:18, time: 0.341, data_time: 0.009, memory: 4053, loss_contrastive: 3.6640, loss_bbox: 0.7503, loss_iou: 1.0793, d0.loss_bbox: 0.8076, d0.loss_iou: 1.1381, d1.loss_bbox: 0.7753, d1.loss_iou: 1.1064, d2.loss_bbox: 0.7628, d2.loss_iou: 1.0912, d3.loss_bbox: 0.7535, d3.loss_iou: 1.0825, d4.loss_bbox: 0.7498, d4.loss_iou: 1.0782, loss: 14.8390, grad_norm: 13.4176 2022-10-26 18:47:01,617 - mmdet - INFO - Epoch [3][1700/1849] lr: 2.000e-04, eta: 8:25:57, time: 0.345, data_time: 0.009, memory: 4053, loss_contrastive: 3.6566, loss_bbox: 0.7459, loss_iou: 1.0758, d0.loss_bbox: 0.8032, d0.loss_iou: 1.1340, d1.loss_bbox: 0.7703, d1.loss_iou: 1.1013, d2.loss_bbox: 0.7577, d2.loss_iou: 1.0877, d3.loss_bbox: 0.7493, d3.loss_iou: 1.0790, d4.loss_bbox: 0.7458, d4.loss_iou: 1.0750, loss: 14.7818, grad_norm: 13.5330 2022-10-26 18:47:18,868 - mmdet - INFO - Epoch [3][1750/1849] lr: 2.000e-04, eta: 8:25:37, time: 0.345, data_time: 0.009, memory: 4053, loss_contrastive: 3.6541, loss_bbox: 0.7462, loss_iou: 1.0732, d0.loss_bbox: 0.8018, d0.loss_iou: 1.1317, d1.loss_bbox: 0.7701, d1.loss_iou: 1.1007, d2.loss_bbox: 0.7585, d2.loss_iou: 1.0869, d3.loss_bbox: 0.7499, d3.loss_iou: 1.0771, d4.loss_bbox: 0.7456, d4.loss_iou: 1.0730, loss: 14.7688, grad_norm: 10.6822 2022-10-26 18:47:36,048 - mmdet - INFO - Epoch [3][1800/1849] lr: 2.000e-04, eta: 8:25:16, time: 0.344, data_time: 0.009, memory: 4053, loss_contrastive: 3.6430, loss_bbox: 0.7435, loss_iou: 1.0731, d0.loss_bbox: 0.8004, d0.loss_iou: 1.1298, d1.loss_bbox: 0.7671, d1.loss_iou: 1.0980, d2.loss_bbox: 0.7553, d2.loss_iou: 1.0844, d3.loss_bbox: 0.7470, d3.loss_iou: 1.0756, d4.loss_bbox: 0.7431, d4.loss_iou: 1.0719, loss: 14.7322, grad_norm: 12.0158 2022-10-26 18:47:52,966 - mmdet - INFO - Saving checkpoint at 3 epochs 2022-10-26 18:48:14,741 - mmdet - INFO - Epoch [4][50/1849] lr: 2.000e-04, eta: 8:21:04, time: 0.410, data_time: 0.069, memory: 4053, loss_contrastive: 3.6319, loss_bbox: 0.7418, loss_iou: 1.0749, d0.loss_bbox: 0.7978, d0.loss_iou: 1.1325, d1.loss_bbox: 0.7648, d1.loss_iou: 1.1017, d2.loss_bbox: 0.7534, d2.loss_iou: 1.0884, d3.loss_bbox: 0.7451, d3.loss_iou: 1.0788, d4.loss_bbox: 0.7416, d4.loss_iou: 1.0748, loss: 14.7276, grad_norm: 12.8293 2022-10-26 18:48:32,291 - mmdet - INFO - Epoch [4][100/1849] lr: 2.000e-04, eta: 8:20:50, time: 0.351, data_time: 0.008, memory: 4053, loss_contrastive: 3.6287, loss_bbox: 0.7428, loss_iou: 1.0707, d0.loss_bbox: 0.8013, d0.loss_iou: 1.1301, d1.loss_bbox: 0.7668, d1.loss_iou: 1.0984, d2.loss_bbox: 0.7547, d2.loss_iou: 1.0834, d3.loss_bbox: 0.7460, d3.loss_iou: 1.0738, d4.loss_bbox: 0.7421, d4.loss_iou: 1.0698, loss: 14.7085, grad_norm: 13.4180 2022-10-26 18:48:49,449 - mmdet - INFO - Epoch [4][150/1849] lr: 2.000e-04, eta: 8:20:31, time: 0.343, data_time: 0.008, memory: 4053, loss_contrastive: 3.6248, loss_bbox: 0.7418, loss_iou: 1.0706, d0.loss_bbox: 0.7970, d0.loss_iou: 1.1272, d1.loss_bbox: 0.7650, d1.loss_iou: 1.0970, d2.loss_bbox: 0.7533, d2.loss_iou: 1.0820, d3.loss_bbox: 0.7447, d3.loss_iou: 1.0729, d4.loss_bbox: 0.7413, d4.loss_iou: 1.0699, loss: 14.6875, grad_norm: 13.3274 2022-10-26 18:49:06,727 - mmdet - INFO - Epoch [4][200/1849] lr: 2.000e-04, eta: 8:20:13, time: 0.346, data_time: 0.008, memory: 4053, loss_contrastive: 3.6168, loss_bbox: 0.7418, loss_iou: 1.0693, d0.loss_bbox: 0.7962, d0.loss_iou: 1.1255, d1.loss_bbox: 0.7655, d1.loss_iou: 1.0972, d2.loss_bbox: 0.7531, d2.loss_iou: 1.0812, d3.loss_bbox: 0.7454, d3.loss_iou: 1.0725, d4.loss_bbox: 0.7417, d4.loss_iou: 1.0690, loss: 14.6751, grad_norm: 12.4770 2022-10-26 18:49:24,271 - mmdet - INFO - Epoch [4][250/1849] lr: 2.000e-04, eta: 8:19:59, time: 0.351, data_time: 0.008, memory: 4053, loss_contrastive: 3.6136, loss_bbox: 0.7417, loss_iou: 1.0713, d0.loss_bbox: 0.7977, d0.loss_iou: 1.1289, d1.loss_bbox: 0.7664, d1.loss_iou: 1.0981, d2.loss_bbox: 0.7533, d2.loss_iou: 1.0834, d3.loss_bbox: 0.7450, d3.loss_iou: 1.0744, d4.loss_bbox: 0.7415, d4.loss_iou: 1.0707, loss: 14.6861, grad_norm: 14.1570 2022-10-26 18:49:41,714 - mmdet - INFO - Epoch [4][300/1849] lr: 2.000e-04, eta: 8:19:44, time: 0.349, data_time: 0.009, memory: 4053, loss_contrastive: 3.6087, loss_bbox: 0.7397, loss_iou: 1.0681, d0.loss_bbox: 0.7962, d0.loss_iou: 1.1255, d1.loss_bbox: 0.7640, d1.loss_iou: 1.0936, d2.loss_bbox: 0.7513, d2.loss_iou: 1.0792, d3.loss_bbox: 0.7432, d3.loss_iou: 1.0708, d4.loss_bbox: 0.7395, d4.loss_iou: 1.0673, loss: 14.6471, grad_norm: 13.7231 2022-10-26 18:49:59,054 - mmdet - INFO - Epoch [4][350/1849] lr: 2.000e-04, eta: 8:19:27, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 3.5980, loss_bbox: 0.7397, loss_iou: 1.0645, d0.loss_bbox: 0.7964, d0.loss_iou: 1.1212, d1.loss_bbox: 0.7645, d1.loss_iou: 1.0933, d2.loss_bbox: 0.7515, d2.loss_iou: 1.0780, d3.loss_bbox: 0.7431, d3.loss_iou: 1.0684, d4.loss_bbox: 0.7395, d4.loss_iou: 1.0641, loss: 14.6225, grad_norm: 13.3078 2022-10-26 18:50:16,506 - mmdet - INFO - Epoch [4][400/1849] lr: 2.000e-04, eta: 8:19:11, time: 0.349, data_time: 0.009, memory: 4053, loss_contrastive: 3.5950, loss_bbox: 0.7418, loss_iou: 1.0696, d0.loss_bbox: 0.7982, d0.loss_iou: 1.1272, d1.loss_bbox: 0.7657, d1.loss_iou: 1.0972, d2.loss_bbox: 0.7531, d2.loss_iou: 1.0820, d3.loss_bbox: 0.7450, d3.loss_iou: 1.0726, d4.loss_bbox: 0.7412, d4.loss_iou: 1.0688, loss: 14.6575, grad_norm: 12.9419 2022-10-26 18:50:34,014 - mmdet - INFO - Epoch [4][450/1849] lr: 2.000e-04, eta: 8:18:57, time: 0.350, data_time: 0.009, memory: 4053, loss_contrastive: 3.5903, loss_bbox: 0.7360, loss_iou: 1.0624, d0.loss_bbox: 0.7910, d0.loss_iou: 1.1196, d1.loss_bbox: 0.7597, d1.loss_iou: 1.0897, d2.loss_bbox: 0.7468, d2.loss_iou: 1.0749, d3.loss_bbox: 0.7390, d3.loss_iou: 1.0667, d4.loss_bbox: 0.7354, d4.loss_iou: 1.0621, loss: 14.5735, grad_norm: 14.1652 2022-10-26 18:50:51,307 - mmdet - INFO - Epoch [4][500/1849] lr: 2.000e-04, eta: 8:18:39, time: 0.346, data_time: 0.009, memory: 4053, loss_contrastive: 3.5836, loss_bbox: 0.7389, loss_iou: 1.0679, d0.loss_bbox: 0.7945, d0.loss_iou: 1.1251, d1.loss_bbox: 0.7643, d1.loss_iou: 1.0960, d2.loss_bbox: 0.7510, d2.loss_iou: 1.0808, d3.loss_bbox: 0.7420, d3.loss_iou: 1.0710, d4.loss_bbox: 0.7387, d4.loss_iou: 1.0672, loss: 14.6211, grad_norm: 13.7037 2022-10-26 18:51:08,528 - mmdet - INFO - Epoch [4][550/1849] lr: 2.000e-04, eta: 8:18:21, time: 0.344, data_time: 0.009, memory: 4053, loss_contrastive: 3.5851, loss_bbox: 0.7357, loss_iou: 1.0651, d0.loss_bbox: 0.7928, d0.loss_iou: 1.1224, d1.loss_bbox: 0.7597, d1.loss_iou: 1.0925, d2.loss_bbox: 0.7468, d2.loss_iou: 1.0768, d3.loss_bbox: 0.7382, d3.loss_iou: 1.0681, d4.loss_bbox: 0.7355, d4.loss_iou: 1.0645, loss: 14.5832, grad_norm: 14.6846 2022-10-26 18:51:25,747 - mmdet - INFO - Epoch [4][600/1849] lr: 2.000e-04, eta: 8:18:02, time: 0.344, data_time: 0.008, memory: 4053, loss_contrastive: 3.5796, loss_bbox: 0.7359, loss_iou: 1.0648, d0.loss_bbox: 0.7913, d0.loss_iou: 1.1223, d1.loss_bbox: 0.7605, d1.loss_iou: 1.0926, d2.loss_bbox: 0.7478, d2.loss_iou: 1.0773, d3.loss_bbox: 0.7391, d3.loss_iou: 1.0681, d4.loss_bbox: 0.7353, d4.loss_iou: 1.0639, loss: 14.5785, grad_norm: 12.5114 2022-10-26 18:51:43,097 - mmdet - INFO - Epoch [4][650/1849] lr: 2.000e-04, eta: 8:17:45, time: 0.347, data_time: 0.008, memory: 4053, loss_contrastive: 3.5755, loss_bbox: 0.7361, loss_iou: 1.0650, d0.loss_bbox: 0.7914, d0.loss_iou: 1.1210, d1.loss_bbox: 0.7605, d1.loss_iou: 1.0929, d2.loss_bbox: 0.7474, d2.loss_iou: 1.0776, d3.loss_bbox: 0.7396, d3.loss_iou: 1.0685, d4.loss_bbox: 0.7360, d4.loss_iou: 1.0643, loss: 14.5757, grad_norm: 15.4427 2022-10-26 18:52:00,316 - mmdet - INFO - Epoch [4][700/1849] lr: 2.000e-04, eta: 8:17:27, time: 0.345, data_time: 0.009, memory: 4053, loss_contrastive: 3.5681, loss_bbox: 0.7360, loss_iou: 1.0651, d0.loss_bbox: 0.7922, d0.loss_iou: 1.1249, d1.loss_bbox: 0.7611, d1.loss_iou: 1.0943, d2.loss_bbox: 0.7473, d2.loss_iou: 1.0787, d3.loss_bbox: 0.7386, d3.loss_iou: 1.0688, d4.loss_bbox: 0.7357, d4.loss_iou: 1.0649, loss: 14.5755, grad_norm: 13.4261 2022-10-26 18:52:18,082 - mmdet - INFO - Epoch [4][750/1849] lr: 2.000e-04, eta: 8:17:16, time: 0.355, data_time: 0.009, memory: 4053, loss_contrastive: 3.5689, loss_bbox: 0.7342, loss_iou: 1.0633, d0.loss_bbox: 0.7908, d0.loss_iou: 1.1228, d1.loss_bbox: 0.7582, d1.loss_iou: 1.0916, d2.loss_bbox: 0.7451, d2.loss_iou: 1.0768, d3.loss_bbox: 0.7374, d3.loss_iou: 1.0673, d4.loss_bbox: 0.7338, d4.loss_iou: 1.0627, loss: 14.5528, grad_norm: 14.1731 2022-10-26 18:52:35,187 - mmdet - INFO - Epoch [4][800/1849] lr: 2.000e-04, eta: 8:16:55, time: 0.342, data_time: 0.009, memory: 4053, loss_contrastive: 3.5612, loss_bbox: 0.7351, loss_iou: 1.0601, d0.loss_bbox: 0.7918, d0.loss_iou: 1.1198, d1.loss_bbox: 0.7595, d1.loss_iou: 1.0879, d2.loss_bbox: 0.7466, d2.loss_iou: 1.0716, d3.loss_bbox: 0.7386, d3.loss_iou: 1.0629, d4.loss_bbox: 0.7349, d4.loss_iou: 1.0590, loss: 14.5289, grad_norm: 13.5406 2022-10-26 18:52:52,341 - mmdet - INFO - Epoch [4][850/1849] lr: 2.000e-04, eta: 8:16:36, time: 0.343, data_time: 0.009, memory: 4053, loss_contrastive: 3.5599, loss_bbox: 0.7350, loss_iou: 1.0595, d0.loss_bbox: 0.7924, d0.loss_iou: 1.1175, d1.loss_bbox: 0.7601, d1.loss_iou: 1.0875, d2.loss_bbox: 0.7469, d2.loss_iou: 1.0726, d3.loss_bbox: 0.7384, d3.loss_iou: 1.0628, d4.loss_bbox: 0.7347, d4.loss_iou: 1.0588, loss: 14.5260, grad_norm: 13.7073 2022-10-26 18:53:09,796 - mmdet - INFO - Epoch [4][900/1849] lr: 2.000e-04, eta: 8:16:21, time: 0.349, data_time: 0.009, memory: 4053, loss_contrastive: 3.5518, loss_bbox: 0.7335, loss_iou: 1.0620, d0.loss_bbox: 0.7916, d0.loss_iou: 1.1228, d1.loss_bbox: 0.7581, d1.loss_iou: 1.0901, d2.loss_bbox: 0.7447, d2.loss_iou: 1.0744, d3.loss_bbox: 0.7365, d3.loss_iou: 1.0648, d4.loss_bbox: 0.7333, d4.loss_iou: 1.0616, loss: 14.5252, grad_norm: 14.0125 2022-10-26 18:53:26,974 - mmdet - INFO - Epoch [4][950/1849] lr: 2.000e-04, eta: 8:16:01, time: 0.344, data_time: 0.009, memory: 4053, loss_contrastive: 3.5524, loss_bbox: 0.7329, loss_iou: 1.0603, d0.loss_bbox: 0.7868, d0.loss_iou: 1.1162, d1.loss_bbox: 0.7569, d1.loss_iou: 1.0879, d2.loss_bbox: 0.7449, d2.loss_iou: 1.0722, d3.loss_bbox: 0.7363, d3.loss_iou: 1.0631, d4.loss_bbox: 0.7323, d4.loss_iou: 1.0597, loss: 14.5020, grad_norm: 11.7209 2022-10-26 18:53:44,204 - mmdet - INFO - Epoch [4][1000/1849] lr: 2.000e-04, eta: 8:15:43, time: 0.344, data_time: 0.009, memory: 4053, loss_contrastive: 3.5549, loss_bbox: 0.7335, loss_iou: 1.0623, d0.loss_bbox: 0.7900, d0.loss_iou: 1.1198, d1.loss_bbox: 0.7574, d1.loss_iou: 1.0895, d2.loss_bbox: 0.7451, d2.loss_iou: 1.0746, d3.loss_bbox: 0.7366, d3.loss_iou: 1.0659, d4.loss_bbox: 0.7330, d4.loss_iou: 1.0616, loss: 14.5243, grad_norm: 14.1737 2022-10-26 18:54:01,723 - mmdet - INFO - Epoch [4][1050/1849] lr: 2.000e-04, eta: 8:15:28, time: 0.351, data_time: 0.009, memory: 4053, loss_contrastive: 3.5436, loss_bbox: 0.7294, loss_iou: 1.0577, d0.loss_bbox: 0.7859, d0.loss_iou: 1.1163, d1.loss_bbox: 0.7540, d1.loss_iou: 1.0860, d2.loss_bbox: 0.7408, d2.loss_iou: 1.0709, d3.loss_bbox: 0.7325, d3.loss_iou: 1.0613, d4.loss_bbox: 0.7292, d4.loss_iou: 1.0570, loss: 14.4646, grad_norm: 12.8816 2022-10-26 18:54:19,221 - mmdet - INFO - Epoch [4][1100/1849] lr: 2.000e-04, eta: 8:15:13, time: 0.350, data_time: 0.008, memory: 4053, loss_contrastive: 3.5447, loss_bbox: 0.7315, loss_iou: 1.0584, d0.loss_bbox: 0.7866, d0.loss_iou: 1.1142, d1.loss_bbox: 0.7551, d1.loss_iou: 1.0854, d2.loss_bbox: 0.7422, d2.loss_iou: 1.0703, d3.loss_bbox: 0.7340, d3.loss_iou: 1.0613, d4.loss_bbox: 0.7306, d4.loss_iou: 1.0578, loss: 14.4722, grad_norm: 15.0917 2022-10-26 18:54:36,590 - mmdet - INFO - Epoch [4][1150/1849] lr: 2.000e-04, eta: 8:14:57, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 3.5348, loss_bbox: 0.7315, loss_iou: 1.0582, d0.loss_bbox: 0.7875, d0.loss_iou: 1.1165, d1.loss_bbox: 0.7575, d1.loss_iou: 1.0869, d2.loss_bbox: 0.7440, d2.loss_iou: 1.0721, d3.loss_bbox: 0.7346, d3.loss_iou: 1.0618, d4.loss_bbox: 0.7313, d4.loss_iou: 1.0575, loss: 14.4744, grad_norm: 13.1697 2022-10-26 18:54:53,867 - mmdet - INFO - Epoch [4][1200/1849] lr: 2.000e-04, eta: 8:14:39, time: 0.345, data_time: 0.009, memory: 4053, loss_contrastive: 3.5391, loss_bbox: 0.7308, loss_iou: 1.0568, d0.loss_bbox: 0.7868, d0.loss_iou: 1.1164, d1.loss_bbox: 0.7557, d1.loss_iou: 1.0861, d2.loss_bbox: 0.7421, d2.loss_iou: 1.0699, d3.loss_bbox: 0.7339, d3.loss_iou: 1.0601, d4.loss_bbox: 0.7305, d4.loss_iou: 1.0565, loss: 14.4648, grad_norm: 12.4387 2022-10-26 18:55:11,543 - mmdet - INFO - Epoch [4][1250/1849] lr: 2.000e-04, eta: 8:14:26, time: 0.353, data_time: 0.008, memory: 4053, loss_contrastive: 3.5321, loss_bbox: 0.7328, loss_iou: 1.0550, d0.loss_bbox: 0.7899, d0.loss_iou: 1.1140, d1.loss_bbox: 0.7576, d1.loss_iou: 1.0823, d2.loss_bbox: 0.7452, d2.loss_iou: 1.0676, d3.loss_bbox: 0.7360, d3.loss_iou: 1.0581, d4.loss_bbox: 0.7323, d4.loss_iou: 1.0541, loss: 14.4568, grad_norm: 13.0412 2022-10-26 18:55:29,047 - mmdet - INFO - Epoch [4][1300/1849] lr: 2.000e-04, eta: 8:14:11, time: 0.350, data_time: 0.009, memory: 4053, loss_contrastive: 3.5188, loss_bbox: 0.7282, loss_iou: 1.0554, d0.loss_bbox: 0.7834, d0.loss_iou: 1.1124, d1.loss_bbox: 0.7528, d1.loss_iou: 1.0826, d2.loss_bbox: 0.7401, d2.loss_iou: 1.0673, d3.loss_bbox: 0.7311, d3.loss_iou: 1.0585, d4.loss_bbox: 0.7276, d4.loss_iou: 1.0548, loss: 14.4128, grad_norm: 14.7424 2022-10-26 18:55:46,607 - mmdet - INFO - Epoch [4][1350/1849] lr: 2.000e-04, eta: 8:13:57, time: 0.351, data_time: 0.009, memory: 4053, loss_contrastive: 3.5186, loss_bbox: 0.7284, loss_iou: 1.0543, d0.loss_bbox: 0.7848, d0.loss_iou: 1.1122, d1.loss_bbox: 0.7530, d1.loss_iou: 1.0840, d2.loss_bbox: 0.7402, d2.loss_iou: 1.0680, d3.loss_bbox: 0.7315, d3.loss_iou: 1.0577, d4.loss_bbox: 0.7279, d4.loss_iou: 1.0541, loss: 14.4145, grad_norm: 15.2257 2022-10-26 18:56:03,884 - mmdet - INFO - Epoch [4][1400/1849] lr: 2.000e-04, eta: 8:13:39, time: 0.346, data_time: 0.009, memory: 4053, loss_contrastive: 3.5199, loss_bbox: 0.7281, loss_iou: 1.0531, d0.loss_bbox: 0.7860, d0.loss_iou: 1.1139, d1.loss_bbox: 0.7543, d1.loss_iou: 1.0824, d2.loss_bbox: 0.7404, d2.loss_iou: 1.0670, d3.loss_bbox: 0.7316, d3.loss_iou: 1.0571, d4.loss_bbox: 0.7279, d4.loss_iou: 1.0528, loss: 14.4146, grad_norm: 12.9977 2022-10-26 18:56:21,200 - mmdet - INFO - Epoch [4][1450/1849] lr: 2.000e-04, eta: 8:13:22, time: 0.346, data_time: 0.009, memory: 4053, loss_contrastive: 3.5202, loss_bbox: 0.7303, loss_iou: 1.0562, d0.loss_bbox: 0.7861, d0.loss_iou: 1.1138, d1.loss_bbox: 0.7551, d1.loss_iou: 1.0851, d2.loss_bbox: 0.7424, d2.loss_iou: 1.0689, d3.loss_bbox: 0.7343, d3.loss_iou: 1.0598, d4.loss_bbox: 0.7301, d4.loss_iou: 1.0555, loss: 14.4376, grad_norm: 11.7556 2022-10-26 18:56:38,734 - mmdet - INFO - Epoch [4][1500/1849] lr: 2.000e-04, eta: 8:13:07, time: 0.351, data_time: 0.009, memory: 4053, loss_contrastive: 3.5176, loss_bbox: 0.7285, loss_iou: 1.0471, d0.loss_bbox: 0.7838, d0.loss_iou: 1.1068, d1.loss_bbox: 0.7515, d1.loss_iou: 1.0758, d2.loss_bbox: 0.7394, d2.loss_iou: 1.0609, d3.loss_bbox: 0.7308, d3.loss_iou: 1.0504, d4.loss_bbox: 0.7276, d4.loss_iou: 1.0465, loss: 14.3667, grad_norm: 12.8264 2022-10-26 18:56:56,064 - mmdet - INFO - Epoch [4][1550/1849] lr: 2.000e-04, eta: 8:12:50, time: 0.347, data_time: 0.008, memory: 4053, loss_contrastive: 3.5121, loss_bbox: 0.7300, loss_iou: 1.0529, d0.loss_bbox: 0.7872, d0.loss_iou: 1.1112, d1.loss_bbox: 0.7541, d1.loss_iou: 1.0805, d2.loss_bbox: 0.7405, d2.loss_iou: 1.0652, d3.loss_bbox: 0.7321, d3.loss_iou: 1.0560, d4.loss_bbox: 0.7295, d4.loss_iou: 1.0520, loss: 14.4030, grad_norm: 13.7265 2022-10-26 18:57:13,537 - mmdet - INFO - Epoch [4][1600/1849] lr: 2.000e-04, eta: 8:12:34, time: 0.349, data_time: 0.009, memory: 4053, loss_contrastive: 3.5046, loss_bbox: 0.7289, loss_iou: 1.0510, d0.loss_bbox: 0.7836, d0.loss_iou: 1.1100, d1.loss_bbox: 0.7524, d1.loss_iou: 1.0800, d2.loss_bbox: 0.7400, d2.loss_iou: 1.0634, d3.loss_bbox: 0.7309, d3.loss_iou: 1.0541, d4.loss_bbox: 0.7283, d4.loss_iou: 1.0506, loss: 14.3777, grad_norm: 13.7441 2022-10-26 18:57:31,098 - mmdet - INFO - Epoch [4][1650/1849] lr: 2.000e-04, eta: 8:12:20, time: 0.351, data_time: 0.009, memory: 4053, loss_contrastive: 3.5064, loss_bbox: 0.7268, loss_iou: 1.0523, d0.loss_bbox: 0.7835, d0.loss_iou: 1.1123, d1.loss_bbox: 0.7517, d1.loss_iou: 1.0808, d2.loss_bbox: 0.7379, d2.loss_iou: 1.0646, d3.loss_bbox: 0.7294, d3.loss_iou: 1.0552, d4.loss_bbox: 0.7264, d4.loss_iou: 1.0518, loss: 14.3790, grad_norm: 13.7143 2022-10-26 18:57:48,532 - mmdet - INFO - Epoch [4][1700/1849] lr: 2.000e-04, eta: 8:12:03, time: 0.349, data_time: 0.008, memory: 4053, loss_contrastive: 3.5063, loss_bbox: 0.7315, loss_iou: 1.0524, d0.loss_bbox: 0.7874, d0.loss_iou: 1.1138, d1.loss_bbox: 0.7549, d1.loss_iou: 1.0814, d2.loss_bbox: 0.7419, d2.loss_iou: 1.0654, d3.loss_bbox: 0.7337, d3.loss_iou: 1.0553, d4.loss_bbox: 0.7305, d4.loss_iou: 1.0519, loss: 14.4064, grad_norm: 12.0577 2022-10-26 18:58:05,878 - mmdet - INFO - Epoch [4][1750/1849] lr: 2.000e-04, eta: 8:11:46, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 3.4958, loss_bbox: 0.7256, loss_iou: 1.0507, d0.loss_bbox: 0.7807, d0.loss_iou: 1.1093, d1.loss_bbox: 0.7513, d1.loss_iou: 1.0806, d2.loss_bbox: 0.7375, d2.loss_iou: 1.0649, d3.loss_bbox: 0.7286, d3.loss_iou: 1.0540, d4.loss_bbox: 0.7250, d4.loss_iou: 1.0505, loss: 14.3544, grad_norm: 13.3282 2022-10-26 18:58:23,339 - mmdet - INFO - Epoch [4][1800/1849] lr: 2.000e-04, eta: 8:11:31, time: 0.349, data_time: 0.009, memory: 4053, loss_contrastive: 3.4978, loss_bbox: 0.7309, loss_iou: 1.0512, d0.loss_bbox: 0.7863, d0.loss_iou: 1.1115, d1.loss_bbox: 0.7543, d1.loss_iou: 1.0788, d2.loss_bbox: 0.7417, d2.loss_iou: 1.0639, d3.loss_bbox: 0.7338, d3.loss_iou: 1.0549, d4.loss_bbox: 0.7305, d4.loss_iou: 1.0505, loss: 14.3860, grad_norm: 13.1796 2022-10-26 18:58:40,400 - mmdet - INFO - Saving checkpoint at 4 epochs 2022-10-26 18:59:02,149 - mmdet - INFO - Epoch [5][50/1849] lr: 2.000e-04, eta: 8:08:18, time: 0.408, data_time: 0.069, memory: 4053, loss_contrastive: 3.4863, loss_bbox: 0.7214, loss_iou: 1.0457, d0.loss_bbox: 0.7770, d0.loss_iou: 1.1067, d1.loss_bbox: 0.7471, d1.loss_iou: 1.0750, d2.loss_bbox: 0.7326, d2.loss_iou: 1.0592, d3.loss_bbox: 0.7247, d3.loss_iou: 1.0494, d4.loss_bbox: 0.7209, d4.loss_iou: 1.0456, loss: 14.2916, grad_norm: 14.0686 2022-10-26 18:59:19,601 - mmdet - INFO - Epoch [5][100/1849] lr: 2.000e-04, eta: 8:08:03, time: 0.349, data_time: 0.009, memory: 4053, loss_contrastive: 3.4840, loss_bbox: 0.7229, loss_iou: 1.0467, d0.loss_bbox: 0.7786, d0.loss_iou: 1.1057, d1.loss_bbox: 0.7485, d1.loss_iou: 1.0750, d2.loss_bbox: 0.7351, d2.loss_iou: 1.0604, d3.loss_bbox: 0.7264, d3.loss_iou: 1.0509, d4.loss_bbox: 0.7227, d4.loss_iou: 1.0462, loss: 14.3029, grad_norm: 13.0626 2022-10-26 18:59:36,893 - mmdet - INFO - Epoch [5][150/1849] lr: 2.000e-04, eta: 8:07:46, time: 0.346, data_time: 0.009, memory: 4053, loss_contrastive: 3.4825, loss_bbox: 0.7232, loss_iou: 1.0480, d0.loss_bbox: 0.7794, d0.loss_iou: 1.1077, d1.loss_bbox: 0.7478, d1.loss_iou: 1.0776, d2.loss_bbox: 0.7345, d2.loss_iou: 1.0616, d3.loss_bbox: 0.7262, d3.loss_iou: 1.0513, d4.loss_bbox: 0.7229, d4.loss_iou: 1.0470, loss: 14.3098, grad_norm: 12.5343 2022-10-26 18:59:54,378 - mmdet - INFO - Epoch [5][200/1849] lr: 2.000e-04, eta: 8:07:32, time: 0.350, data_time: 0.009, memory: 4053, loss_contrastive: 3.4846, loss_bbox: 0.7232, loss_iou: 1.0486, d0.loss_bbox: 0.7795, d0.loss_iou: 1.1095, d1.loss_bbox: 0.7467, d1.loss_iou: 1.0784, d2.loss_bbox: 0.7344, d2.loss_iou: 1.0614, d3.loss_bbox: 0.7260, d3.loss_iou: 1.0526, d4.loss_bbox: 0.7226, d4.loss_iou: 1.0481, loss: 14.3154, grad_norm: 12.9949 2022-10-26 19:00:11,775 - mmdet - INFO - Epoch [5][250/1849] lr: 2.000e-04, eta: 8:07:16, time: 0.348, data_time: 0.008, memory: 4053, loss_contrastive: 3.4717, loss_bbox: 0.7195, loss_iou: 1.0426, d0.loss_bbox: 0.7775, d0.loss_iou: 1.1027, d1.loss_bbox: 0.7450, d1.loss_iou: 1.0721, d2.loss_bbox: 0.7305, d2.loss_iou: 1.0552, d3.loss_bbox: 0.7225, d3.loss_iou: 1.0455, d4.loss_bbox: 0.7192, d4.loss_iou: 1.0418, loss: 14.2458, grad_norm: 13.3187 2022-10-26 19:00:29,454 - mmdet - INFO - Epoch [5][300/1849] lr: 2.000e-04, eta: 8:07:04, time: 0.353, data_time: 0.008, memory: 4053, loss_contrastive: 3.4762, loss_bbox: 0.7199, loss_iou: 1.0441, d0.loss_bbox: 0.7773, d0.loss_iou: 1.1054, d1.loss_bbox: 0.7456, d1.loss_iou: 1.0729, d2.loss_bbox: 0.7322, d2.loss_iou: 1.0575, d3.loss_bbox: 0.7232, d3.loss_iou: 1.0475, d4.loss_bbox: 0.7188, d4.loss_iou: 1.0433, loss: 14.2639, grad_norm: 12.3505 2022-10-26 19:00:46,777 - mmdet - INFO - Epoch [5][350/1849] lr: 2.000e-04, eta: 8:06:48, time: 0.346, data_time: 0.008, memory: 4053, loss_contrastive: 3.4742, loss_bbox: 0.7228, loss_iou: 1.0515, d0.loss_bbox: 0.7790, d0.loss_iou: 1.1107, d1.loss_bbox: 0.7481, d1.loss_iou: 1.0800, d2.loss_bbox: 0.7341, d2.loss_iou: 1.0627, d3.loss_bbox: 0.7263, d3.loss_iou: 1.0543, d4.loss_bbox: 0.7224, d4.loss_iou: 1.0508, loss: 14.3169, grad_norm: 12.5270 2022-10-26 19:01:04,364 - mmdet - INFO - Epoch [5][400/1849] lr: 2.000e-04, eta: 8:06:34, time: 0.352, data_time: 0.009, memory: 4053, loss_contrastive: 3.4720, loss_bbox: 0.7231, loss_iou: 1.0474, d0.loss_bbox: 0.7792, d0.loss_iou: 1.1058, d1.loss_bbox: 0.7479, d1.loss_iou: 1.0772, d2.loss_bbox: 0.7340, d2.loss_iou: 1.0603, d3.loss_bbox: 0.7259, d3.loss_iou: 1.0509, d4.loss_bbox: 0.7228, d4.loss_iou: 1.0465, loss: 14.2932, grad_norm: 12.3242 2022-10-26 19:01:22,021 - mmdet - INFO - Epoch [5][450/1849] lr: 2.000e-04, eta: 8:06:21, time: 0.353, data_time: 0.009, memory: 4053, loss_contrastive: 3.4762, loss_bbox: 0.7237, loss_iou: 1.0463, d0.loss_bbox: 0.7797, d0.loss_iou: 1.1063, d1.loss_bbox: 0.7477, d1.loss_iou: 1.0761, d2.loss_bbox: 0.7345, d2.loss_iou: 1.0588, d3.loss_bbox: 0.7263, d3.loss_iou: 1.0494, d4.loss_bbox: 0.7233, d4.loss_iou: 1.0456, loss: 14.2941, grad_norm: 13.4761 2022-10-26 19:01:40,284 - mmdet - INFO - Epoch [5][500/1849] lr: 2.000e-04, eta: 8:06:15, time: 0.365, data_time: 0.009, memory: 4053, loss_contrastive: 3.4648, loss_bbox: 0.7265, loss_iou: 1.0495, d0.loss_bbox: 0.7807, d0.loss_iou: 1.1072, d1.loss_bbox: 0.7497, d1.loss_iou: 1.0768, d2.loss_bbox: 0.7366, d2.loss_iou: 1.0610, d3.loss_bbox: 0.7288, d3.loss_iou: 1.0525, d4.loss_bbox: 0.7266, d4.loss_iou: 1.0483, loss: 14.3089, grad_norm: 15.1010 2022-10-26 19:01:58,232 - mmdet - INFO - Epoch [5][550/1849] lr: 2.000e-04, eta: 8:06:05, time: 0.359, data_time: 0.009, memory: 4053, loss_contrastive: 3.4593, loss_bbox: 0.7163, loss_iou: 1.0395, d0.loss_bbox: 0.7716, d0.loss_iou: 1.1000, d1.loss_bbox: 0.7419, d1.loss_iou: 1.0705, d2.loss_bbox: 0.7281, d2.loss_iou: 1.0534, d3.loss_bbox: 0.7197, d3.loss_iou: 1.0433, d4.loss_bbox: 0.7161, d4.loss_iou: 1.0394, loss: 14.1993, grad_norm: 12.9472 2022-10-26 19:02:15,547 - mmdet - INFO - Epoch [5][600/1849] lr: 2.000e-04, eta: 8:05:49, time: 0.346, data_time: 0.008, memory: 4053, loss_contrastive: 3.4605, loss_bbox: 0.7189, loss_iou: 1.0452, d0.loss_bbox: 0.7759, d0.loss_iou: 1.1064, d1.loss_bbox: 0.7443, d1.loss_iou: 1.0754, d2.loss_bbox: 0.7306, d2.loss_iou: 1.0587, d3.loss_bbox: 0.7220, d3.loss_iou: 1.0487, d4.loss_bbox: 0.7188, d4.loss_iou: 1.0447, loss: 14.2502, grad_norm: 13.3520 2022-10-26 19:02:33,497 - mmdet - INFO - Epoch [5][650/1849] lr: 2.000e-04, eta: 8:05:39, time: 0.359, data_time: 0.009, memory: 4053, loss_contrastive: 3.4616, loss_bbox: 0.7195, loss_iou: 1.0431, d0.loss_bbox: 0.7749, d0.loss_iou: 1.1032, d1.loss_bbox: 0.7439, d1.loss_iou: 1.0718, d2.loss_bbox: 0.7306, d2.loss_iou: 1.0555, d3.loss_bbox: 0.7223, d3.loss_iou: 1.0466, d4.loss_bbox: 0.7187, d4.loss_iou: 1.0428, loss: 14.2345, grad_norm: 12.6485 2022-10-26 19:02:50,835 - mmdet - INFO - Epoch [5][700/1849] lr: 2.000e-04, eta: 8:05:22, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 3.4532, loss_bbox: 0.7192, loss_iou: 1.0415, d0.loss_bbox: 0.7746, d0.loss_iou: 1.0996, d1.loss_bbox: 0.7444, d1.loss_iou: 1.0688, d2.loss_bbox: 0.7301, d2.loss_iou: 1.0533, d3.loss_bbox: 0.7228, d3.loss_iou: 1.0443, d4.loss_bbox: 0.7191, d4.loss_iou: 1.0404, loss: 14.2114, grad_norm: 12.5921 2022-10-26 19:03:08,495 - mmdet - INFO - Epoch [5][750/1849] lr: 2.000e-04, eta: 8:05:09, time: 0.353, data_time: 0.009, memory: 4053, loss_contrastive: 3.4558, loss_bbox: 0.7190, loss_iou: 1.0446, d0.loss_bbox: 0.7757, d0.loss_iou: 1.1060, d1.loss_bbox: 0.7442, d1.loss_iou: 1.0727, d2.loss_bbox: 0.7295, d2.loss_iou: 1.0570, d3.loss_bbox: 0.7215, d3.loss_iou: 1.0478, d4.loss_bbox: 0.7188, d4.loss_iou: 1.0435, loss: 14.2360, grad_norm: 13.9497 2022-10-26 19:03:25,919 - mmdet - INFO - Epoch [5][800/1849] lr: 2.000e-04, eta: 8:04:53, time: 0.348, data_time: 0.009, memory: 4053, loss_contrastive: 3.4514, loss_bbox: 0.7193, loss_iou: 1.0398, d0.loss_bbox: 0.7737, d0.loss_iou: 1.0990, d1.loss_bbox: 0.7438, d1.loss_iou: 1.0688, d2.loss_bbox: 0.7299, d2.loss_iou: 1.0520, d3.loss_bbox: 0.7224, d3.loss_iou: 1.0440, d4.loss_bbox: 0.7187, d4.loss_iou: 1.0394, loss: 14.2022, grad_norm: 12.6591 2022-10-26 19:03:43,443 - mmdet - INFO - Epoch [5][850/1849] lr: 2.000e-04, eta: 8:04:39, time: 0.350, data_time: 0.009, memory: 4053, loss_contrastive: 3.4533, loss_bbox: 0.7206, loss_iou: 1.0417, d0.loss_bbox: 0.7754, d0.loss_iou: 1.1024, d1.loss_bbox: 0.7439, d1.loss_iou: 1.0713, d2.loss_bbox: 0.7320, d2.loss_iou: 1.0550, d3.loss_bbox: 0.7237, d3.loss_iou: 1.0456, d4.loss_bbox: 0.7202, d4.loss_iou: 1.0413, loss: 14.2265, grad_norm: 11.4222 2022-10-26 19:04:00,824 - mmdet - INFO - Epoch [5][900/1849] lr: 2.000e-04, eta: 8:04:23, time: 0.348, data_time: 0.009, memory: 4053, loss_contrastive: 3.4492, loss_bbox: 0.7210, loss_iou: 1.0421, d0.loss_bbox: 0.7796, d0.loss_iou: 1.1028, d1.loss_bbox: 0.7467, d1.loss_iou: 1.0727, d2.loss_bbox: 0.7325, d2.loss_iou: 1.0558, d3.loss_bbox: 0.7240, d3.loss_iou: 1.0460, d4.loss_bbox: 0.7203, d4.loss_iou: 1.0415, loss: 14.2341, grad_norm: 12.9244 2022-10-26 19:04:18,397 - mmdet - INFO - Epoch [5][950/1849] lr: 2.000e-04, eta: 8:04:08, time: 0.351, data_time: 0.009, memory: 4053, loss_contrastive: 3.4476, loss_bbox: 0.7228, loss_iou: 1.0412, d0.loss_bbox: 0.7762, d0.loss_iou: 1.1009, d1.loss_bbox: 0.7470, d1.loss_iou: 1.0705, d2.loss_bbox: 0.7338, d2.loss_iou: 1.0542, d3.loss_bbox: 0.7253, d3.loss_iou: 1.0445, d4.loss_bbox: 0.7225, d4.loss_iou: 1.0403, loss: 14.2269, grad_norm: 12.3778 2022-10-26 19:04:35,776 - mmdet - INFO - Epoch [5][1000/1849] lr: 2.000e-04, eta: 8:03:52, time: 0.348, data_time: 0.009, memory: 4053, loss_contrastive: 3.4391, loss_bbox: 0.7154, loss_iou: 1.0420, d0.loss_bbox: 0.7716, d0.loss_iou: 1.1033, d1.loss_bbox: 0.7413, d1.loss_iou: 1.0717, d2.loss_bbox: 0.7261, d2.loss_iou: 1.0542, d3.loss_bbox: 0.7184, d3.loss_iou: 1.0456, d4.loss_bbox: 0.7148, d4.loss_iou: 1.0413, loss: 14.1845, grad_norm: 14.2366 2022-10-26 19:04:53,277 - mmdet - INFO - Epoch [5][1050/1849] lr: 2.000e-04, eta: 8:03:37, time: 0.350, data_time: 0.009, memory: 4053, loss_contrastive: 3.4331, loss_bbox: 0.7145, loss_iou: 1.0376, d0.loss_bbox: 0.7719, d0.loss_iou: 1.0997, d1.loss_bbox: 0.7398, d1.loss_iou: 1.0675, d2.loss_bbox: 0.7258, d2.loss_iou: 1.0511, d3.loss_bbox: 0.7178, d3.loss_iou: 1.0411, d4.loss_bbox: 0.7140, d4.loss_iou: 1.0376, loss: 14.1513, grad_norm: 14.3349 2022-10-26 19:05:10,594 - mmdet - INFO - Epoch [5][1100/1849] lr: 2.000e-04, eta: 8:03:20, time: 0.346, data_time: 0.008, memory: 4053, loss_contrastive: 3.4350, loss_bbox: 0.7171, loss_iou: 1.0355, d0.loss_bbox: 0.7720, d0.loss_iou: 1.0955, d1.loss_bbox: 0.7421, d1.loss_iou: 1.0654, d2.loss_bbox: 0.7276, d2.loss_iou: 1.0481, d3.loss_bbox: 0.7199, d3.loss_iou: 1.0392, d4.loss_bbox: 0.7167, d4.loss_iou: 1.0350, loss: 14.1489, grad_norm: 11.8648 2022-10-26 19:05:28,104 - mmdet - INFO - Epoch [5][1150/1849] lr: 2.000e-04, eta: 8:03:06, time: 0.350, data_time: 0.009, memory: 4053, loss_contrastive: 3.4354, loss_bbox: 0.7162, loss_iou: 1.0400, d0.loss_bbox: 0.7721, d0.loss_iou: 1.1008, d1.loss_bbox: 0.7408, d1.loss_iou: 1.0707, d2.loss_bbox: 0.7271, d2.loss_iou: 1.0537, d3.loss_bbox: 0.7192, d3.loss_iou: 1.0443, d4.loss_bbox: 0.7160, d4.loss_iou: 1.0395, loss: 14.1757, grad_norm: 12.9225 2022-10-26 19:05:45,739 - mmdet - INFO - Epoch [5][1200/1849] lr: 2.000e-04, eta: 8:02:52, time: 0.353, data_time: 0.009, memory: 4053, loss_contrastive: 3.4395, loss_bbox: 0.7159, loss_iou: 1.0418, d0.loss_bbox: 0.7703, d0.loss_iou: 1.1022, d1.loss_bbox: 0.7396, d1.loss_iou: 1.0720, d2.loss_bbox: 0.7266, d2.loss_iou: 1.0551, d3.loss_bbox: 0.7192, d3.loss_iou: 1.0458, d4.loss_bbox: 0.7152, d4.loss_iou: 1.0415, loss: 14.1847, grad_norm: 12.7743 2022-10-26 19:06:03,306 - mmdet - INFO - Epoch [5][1250/1849] lr: 2.000e-04, eta: 8:02:37, time: 0.351, data_time: 0.008, memory: 4053, loss_contrastive: 3.4286, loss_bbox: 0.7188, loss_iou: 1.0375, d0.loss_bbox: 0.7752, d0.loss_iou: 1.0988, d1.loss_bbox: 0.7442, d1.loss_iou: 1.0678, d2.loss_bbox: 0.7296, d2.loss_iou: 1.0510, d3.loss_bbox: 0.7217, d3.loss_iou: 1.0413, d4.loss_bbox: 0.7180, d4.loss_iou: 1.0369, loss: 14.1694, grad_norm: 13.6782 2022-10-26 19:06:20,790 - mmdet - INFO - Epoch [5][1300/1849] lr: 2.000e-04, eta: 8:02:22, time: 0.350, data_time: 0.009, memory: 4053, loss_contrastive: 3.4292, loss_bbox: 0.7152, loss_iou: 1.0389, d0.loss_bbox: 0.7726, d0.loss_iou: 1.1016, d1.loss_bbox: 0.7403, d1.loss_iou: 1.0702, d2.loss_bbox: 0.7266, d2.loss_iou: 1.0524, d3.loss_bbox: 0.7178, d3.loss_iou: 1.0434, d4.loss_bbox: 0.7146, d4.loss_iou: 1.0387, loss: 14.1615, grad_norm: 13.2964 2022-10-26 19:06:38,021 - mmdet - INFO - Epoch [5][1350/1849] lr: 2.000e-04, eta: 8:02:04, time: 0.345, data_time: 0.009, memory: 4053, loss_contrastive: 3.4276, loss_bbox: 0.7152, loss_iou: 1.0368, d0.loss_bbox: 0.7711, d0.loss_iou: 1.0984, d1.loss_bbox: 0.7394, d1.loss_iou: 1.0670, d2.loss_bbox: 0.7263, d2.loss_iou: 1.0501, d3.loss_bbox: 0.7182, d3.loss_iou: 1.0407, d4.loss_bbox: 0.7148, d4.loss_iou: 1.0364, loss: 14.1419, grad_norm: 13.0995 2022-10-26 19:06:55,437 - mmdet - INFO - Epoch [5][1400/1849] lr: 2.000e-04, eta: 8:01:48, time: 0.348, data_time: 0.008, memory: 4053, loss_contrastive: 3.4249, loss_bbox: 0.7123, loss_iou: 1.0354, d0.loss_bbox: 0.7690, d0.loss_iou: 1.0977, d1.loss_bbox: 0.7377, d1.loss_iou: 1.0660, d2.loss_bbox: 0.7238, d2.loss_iou: 1.0490, d3.loss_bbox: 0.7157, d3.loss_iou: 1.0396, d4.loss_bbox: 0.7122, d4.loss_iou: 1.0349, loss: 14.1183, grad_norm: 12.0879 2022-10-26 19:07:12,859 - mmdet - INFO - Epoch [5][1450/1849] lr: 2.000e-04, eta: 8:01:32, time: 0.348, data_time: 0.009, memory: 4053, loss_contrastive: 3.4170, loss_bbox: 0.7129, loss_iou: 1.0377, d0.loss_bbox: 0.7697, d0.loss_iou: 1.0990, d1.loss_bbox: 0.7390, d1.loss_iou: 1.0682, d2.loss_bbox: 0.7243, d2.loss_iou: 1.0506, d3.loss_bbox: 0.7160, d3.loss_iou: 1.0409, d4.loss_bbox: 0.7126, d4.loss_iou: 1.0367, loss: 14.1245, grad_norm: 13.3126 2022-10-26 19:07:30,448 - mmdet - INFO - Epoch [5][1500/1849] lr: 2.000e-04, eta: 8:01:18, time: 0.352, data_time: 0.009, memory: 4053, loss_contrastive: 3.4243, loss_bbox: 0.7132, loss_iou: 1.0415, d0.loss_bbox: 0.7701, d0.loss_iou: 1.1034, d1.loss_bbox: 0.7383, d1.loss_iou: 1.0713, d2.loss_bbox: 0.7244, d2.loss_iou: 1.0542, d3.loss_bbox: 0.7162, d3.loss_iou: 1.0439, d4.loss_bbox: 0.7128, d4.loss_iou: 1.0405, loss: 14.1542, grad_norm: 11.8175 2022-10-26 19:07:47,579 - mmdet - INFO - Epoch [5][1550/1849] lr: 2.000e-04, eta: 8:00:59, time: 0.343, data_time: 0.009, memory: 4053, loss_contrastive: 3.4177, loss_bbox: 0.7146, loss_iou: 1.0400, d0.loss_bbox: 0.7692, d0.loss_iou: 1.0980, d1.loss_bbox: 0.7394, d1.loss_iou: 1.0695, d2.loss_bbox: 0.7264, d2.loss_iou: 1.0524, d3.loss_bbox: 0.7190, d3.loss_iou: 1.0440, d4.loss_bbox: 0.7149, d4.loss_iou: 1.0393, loss: 14.1445, grad_norm: 13.9636 2022-10-26 19:08:04,903 - mmdet - INFO - Epoch [5][1600/1849] lr: 2.000e-04, eta: 8:00:42, time: 0.346, data_time: 0.009, memory: 4053, loss_contrastive: 3.4167, loss_bbox: 0.7147, loss_iou: 1.0382, d0.loss_bbox: 0.7695, d0.loss_iou: 1.0981, d1.loss_bbox: 0.7399, d1.loss_iou: 1.0675, d2.loss_bbox: 0.7252, d2.loss_iou: 1.0507, d3.loss_bbox: 0.7179, d3.loss_iou: 1.0422, d4.loss_bbox: 0.7147, d4.loss_iou: 1.0370, loss: 14.1324, grad_norm: 12.6333 2022-10-26 19:08:22,405 - mmdet - INFO - Epoch [5][1650/1849] lr: 2.000e-04, eta: 8:00:27, time: 0.350, data_time: 0.009, memory: 4053, loss_contrastive: 3.4149, loss_bbox: 0.7164, loss_iou: 1.0361, d0.loss_bbox: 0.7710, d0.loss_iou: 1.0973, d1.loss_bbox: 0.7420, d1.loss_iou: 1.0665, d2.loss_bbox: 0.7279, d2.loss_iou: 1.0490, d3.loss_bbox: 0.7191, d3.loss_iou: 1.0396, d4.loss_bbox: 0.7164, d4.loss_iou: 1.0350, loss: 14.1313, grad_norm: 13.6165 2022-10-26 19:08:39,885 - mmdet - INFO - Epoch [5][1700/1849] lr: 2.000e-04, eta: 8:00:12, time: 0.350, data_time: 0.009, memory: 4053, loss_contrastive: 3.4155, loss_bbox: 0.7187, loss_iou: 1.0374, d0.loss_bbox: 0.7748, d0.loss_iou: 1.0993, d1.loss_bbox: 0.7439, d1.loss_iou: 1.0678, d2.loss_bbox: 0.7297, d2.loss_iou: 1.0512, d3.loss_bbox: 0.7219, d3.loss_iou: 1.0410, d4.loss_bbox: 0.7184, d4.loss_iou: 1.0366, loss: 14.1561, grad_norm: 13.5824 2022-10-26 19:08:57,390 - mmdet - INFO - Epoch [5][1750/1849] lr: 2.000e-04, eta: 7:59:56, time: 0.350, data_time: 0.009, memory: 4053, loss_contrastive: 3.4127, loss_bbox: 0.7148, loss_iou: 1.0362, d0.loss_bbox: 0.7714, d0.loss_iou: 1.0992, d1.loss_bbox: 0.7397, d1.loss_iou: 1.0680, d2.loss_bbox: 0.7256, d2.loss_iou: 1.0494, d3.loss_bbox: 0.7182, d3.loss_iou: 1.0406, d4.loss_bbox: 0.7144, d4.loss_iou: 1.0361, loss: 14.1264, grad_norm: 12.5053 2022-10-26 19:09:14,720 - mmdet - INFO - Epoch [5][1800/1849] lr: 2.000e-04, eta: 7:59:40, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 3.4144, loss_bbox: 0.7122, loss_iou: 1.0368, d0.loss_bbox: 0.7676, d0.loss_iou: 1.0954, d1.loss_bbox: 0.7370, d1.loss_iou: 1.0660, d2.loss_bbox: 0.7237, d2.loss_iou: 1.0488, d3.loss_bbox: 0.7155, d3.loss_iou: 1.0395, d4.loss_bbox: 0.7118, d4.loss_iou: 1.0363, loss: 14.1050, grad_norm: 15.4387 2022-10-26 19:09:32,166 - mmdet - INFO - Saving checkpoint at 5 epochs 2022-10-26 19:09:59,156 - mmdet - INFO - Epoch [6][50/1849] lr: 2.000e-04, eta: 7:57:50, time: 0.515, data_time: 0.118, memory: 4053, loss_contrastive: 3.4095, loss_bbox: 0.7135, loss_iou: 1.0348, d0.loss_bbox: 0.7692, d0.loss_iou: 1.0949, d1.loss_bbox: 0.7385, d1.loss_iou: 1.0657, d2.loss_bbox: 0.7254, d2.loss_iou: 1.0483, d3.loss_bbox: 0.7171, d3.loss_iou: 1.0388, d4.loss_bbox: 0.7135, d4.loss_iou: 1.0344, loss: 14.1034, grad_norm: 13.2530 2022-10-26 19:10:24,408 - mmdet - INFO - Epoch [6][100/1849] lr: 2.000e-04, eta: 7:58:44, time: 0.505, data_time: 0.009, memory: 4053, loss_contrastive: 3.3993, loss_bbox: 0.7104, loss_iou: 1.0315, d0.loss_bbox: 0.7671, d0.loss_iou: 1.0943, d1.loss_bbox: 0.7361, d1.loss_iou: 1.0630, d2.loss_bbox: 0.7223, d2.loss_iou: 1.0453, d3.loss_bbox: 0.7136, d3.loss_iou: 1.0351, d4.loss_bbox: 0.7096, d4.loss_iou: 1.0306, loss: 14.0582, grad_norm: 13.5535 2022-10-26 19:10:54,083 - mmdet - INFO - Epoch [6][150/1849] lr: 2.000e-04, eta: 8:00:16, time: 0.593, data_time: 0.009, memory: 4053, loss_contrastive: 3.3977, loss_bbox: 0.7109, loss_iou: 1.0335, d0.loss_bbox: 0.7673, d0.loss_iou: 1.0949, d1.loss_bbox: 0.7364, d1.loss_iou: 1.0636, d2.loss_bbox: 0.7216, d2.loss_iou: 1.0475, d3.loss_bbox: 0.7135, d3.loss_iou: 1.0374, d4.loss_bbox: 0.7108, d4.loss_iou: 1.0329, loss: 14.0682, grad_norm: 12.1539 2022-10-26 19:11:28,325 - mmdet - INFO - Epoch [6][200/1849] lr: 2.000e-04, eta: 8:02:27, time: 0.685, data_time: 0.009, memory: 4053, loss_contrastive: 3.4028, loss_bbox: 0.7140, loss_iou: 1.0356, d0.loss_bbox: 0.7693, d0.loss_iou: 1.0966, d1.loss_bbox: 0.7396, d1.loss_iou: 1.0655, d2.loss_bbox: 0.7251, d2.loss_iou: 1.0486, d3.loss_bbox: 0.7177, d3.loss_iou: 1.0394, d4.loss_bbox: 0.7140, d4.loss_iou: 1.0345, loss: 14.1027, grad_norm: 13.1415 2022-10-26 19:11:54,487 - mmdet - INFO - Epoch [6][250/1849] lr: 2.000e-04, eta: 8:03:26, time: 0.523, data_time: 0.009, memory: 4053, loss_contrastive: 3.3996, loss_bbox: 0.7103, loss_iou: 1.0341, d0.loss_bbox: 0.7652, d0.loss_iou: 1.0962, d1.loss_bbox: 0.7353, d1.loss_iou: 1.0642, d2.loss_bbox: 0.7209, d2.loss_iou: 1.0479, d3.loss_bbox: 0.7132, d3.loss_iou: 1.0379, d4.loss_bbox: 0.7098, d4.loss_iou: 1.0340, loss: 14.0687, grad_norm: 13.2977 2022-10-26 19:12:19,819 - mmdet - INFO - Epoch [6][300/1849] lr: 2.000e-04, eta: 8:04:17, time: 0.507, data_time: 0.009, memory: 4053, loss_contrastive: 3.3894, loss_bbox: 0.7086, loss_iou: 1.0320, d0.loss_bbox: 0.7643, d0.loss_iou: 1.0939, d1.loss_bbox: 0.7338, d1.loss_iou: 1.0620, d2.loss_bbox: 0.7203, d2.loss_iou: 1.0451, d3.loss_bbox: 0.7117, d3.loss_iou: 1.0355, d4.loss_bbox: 0.7082, d4.loss_iou: 1.0313, loss: 14.0360, grad_norm: 15.0055 2022-10-26 19:12:46,910 - mmdet - INFO - Epoch [6][350/1849] lr: 2.000e-04, eta: 8:05:22, time: 0.542, data_time: 0.009, memory: 4053, loss_contrastive: 3.3938, loss_bbox: 0.7132, loss_iou: 1.0328, d0.loss_bbox: 0.7685, d0.loss_iou: 1.0948, d1.loss_bbox: 0.7376, d1.loss_iou: 1.0629, d2.loss_bbox: 0.7241, d2.loss_iou: 1.0454, d3.loss_bbox: 0.7162, d3.loss_iou: 1.0370, d4.loss_bbox: 0.7131, d4.loss_iou: 1.0324, loss: 14.0720, grad_norm: 11.9198 2022-10-26 19:13:09,786 - mmdet - INFO - Epoch [6][400/1849] lr: 2.000e-04, eta: 8:05:50, time: 0.458, data_time: 0.009, memory: 4053, loss_contrastive: 3.3965, loss_bbox: 0.7113, loss_iou: 1.0325, d0.loss_bbox: 0.7671, d0.loss_iou: 1.0943, d1.loss_bbox: 0.7359, d1.loss_iou: 1.0615, d2.loss_bbox: 0.7219, d2.loss_iou: 1.0455, d3.loss_bbox: 0.7140, d3.loss_iou: 1.0357, d4.loss_bbox: 0.7110, d4.loss_iou: 1.0320, loss: 14.0594, grad_norm: 12.7277 2022-10-26 19:13:26,940 - mmdet - INFO - Epoch [6][450/1849] lr: 2.000e-04, eta: 8:05:28, time: 0.343, data_time: 0.009, memory: 4053, loss_contrastive: 3.3855, loss_bbox: 0.7110, loss_iou: 1.0305, d0.loss_bbox: 0.7668, d0.loss_iou: 1.0919, d1.loss_bbox: 0.7356, d1.loss_iou: 1.0599, d2.loss_bbox: 0.7221, d2.loss_iou: 1.0431, d3.loss_bbox: 0.7140, d3.loss_iou: 1.0339, d4.loss_bbox: 0.7106, d4.loss_iou: 1.0299, loss: 14.0347, grad_norm: 13.3178 2022-10-26 19:13:44,273 - mmdet - INFO - Epoch [6][500/1849] lr: 2.000e-04, eta: 8:05:08, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 3.3956, loss_bbox: 0.7101, loss_iou: 1.0332, d0.loss_bbox: 0.7670, d0.loss_iou: 1.0941, d1.loss_bbox: 0.7358, d1.loss_iou: 1.0632, d2.loss_bbox: 0.7213, d2.loss_iou: 1.0450, d3.loss_bbox: 0.7135, d3.loss_iou: 1.0364, d4.loss_bbox: 0.7106, d4.loss_iou: 1.0321, loss: 14.0580, grad_norm: 13.1735 2022-10-26 19:14:01,645 - mmdet - INFO - Epoch [6][550/1849] lr: 2.000e-04, eta: 8:04:49, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 3.3914, loss_bbox: 0.7126, loss_iou: 1.0290, d0.loss_bbox: 0.7674, d0.loss_iou: 1.0914, d1.loss_bbox: 0.7365, d1.loss_iou: 1.0598, d2.loss_bbox: 0.7226, d2.loss_iou: 1.0430, d3.loss_bbox: 0.7157, d3.loss_iou: 1.0333, d4.loss_bbox: 0.7122, d4.loss_iou: 1.0286, loss: 14.0435, grad_norm: 13.0213 2022-10-26 19:14:19,147 - mmdet - INFO - Epoch [6][600/1849] lr: 2.000e-04, eta: 8:04:30, time: 0.350, data_time: 0.009, memory: 4053, loss_contrastive: 3.3909, loss_bbox: 0.7097, loss_iou: 1.0311, d0.loss_bbox: 0.7650, d0.loss_iou: 1.0942, d1.loss_bbox: 0.7351, d1.loss_iou: 1.0625, d2.loss_bbox: 0.7213, d2.loss_iou: 1.0451, d3.loss_bbox: 0.7127, d3.loss_iou: 1.0354, d4.loss_bbox: 0.7094, d4.loss_iou: 1.0306, loss: 14.0431, grad_norm: 14.5868 2022-10-26 19:14:36,486 - mmdet - INFO - Epoch [6][650/1849] lr: 2.000e-04, eta: 8:04:11, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 3.3893, loss_bbox: 0.7087, loss_iou: 1.0359, d0.loss_bbox: 0.7628, d0.loss_iou: 1.0990, d1.loss_bbox: 0.7331, d1.loss_iou: 1.0665, d2.loss_bbox: 0.7195, d2.loss_iou: 1.0495, d3.loss_bbox: 0.7121, d3.loss_iou: 1.0399, d4.loss_bbox: 0.7088, d4.loss_iou: 1.0353, loss: 14.0604, grad_norm: 12.0591 2022-10-26 19:14:53,694 - mmdet - INFO - Epoch [6][700/1849] lr: 2.000e-04, eta: 8:03:50, time: 0.344, data_time: 0.009, memory: 4053, loss_contrastive: 3.3789, loss_bbox: 0.7082, loss_iou: 1.0287, d0.loss_bbox: 0.7617, d0.loss_iou: 1.0918, d1.loss_bbox: 0.7325, d1.loss_iou: 1.0595, d2.loss_bbox: 0.7189, d2.loss_iou: 1.0421, d3.loss_bbox: 0.7114, d3.loss_iou: 1.0329, d4.loss_bbox: 0.7079, d4.loss_iou: 1.0284, loss: 14.0029, grad_norm: 13.0658 2022-10-26 19:15:11,184 - mmdet - INFO - Epoch [6][750/1849] lr: 2.000e-04, eta: 8:03:31, time: 0.350, data_time: 0.009, memory: 4053, loss_contrastive: 3.3865, loss_bbox: 0.7128, loss_iou: 1.0288, d0.loss_bbox: 0.7654, d0.loss_iou: 1.0890, d1.loss_bbox: 0.7380, d1.loss_iou: 1.0595, d2.loss_bbox: 0.7234, d2.loss_iou: 1.0421, d3.loss_bbox: 0.7156, d3.loss_iou: 1.0328, d4.loss_bbox: 0.7125, d4.loss_iou: 1.0283, loss: 14.0347, grad_norm: 14.0004 2022-10-26 19:15:28,837 - mmdet - INFO - Epoch [6][800/1849] lr: 2.000e-04, eta: 8:03:14, time: 0.353, data_time: 0.009, memory: 4053, loss_contrastive: 3.3817, loss_bbox: 0.7098, loss_iou: 1.0304, d0.loss_bbox: 0.7627, d0.loss_iou: 1.0916, d1.loss_bbox: 0.7336, d1.loss_iou: 1.0603, d2.loss_bbox: 0.7207, d2.loss_iou: 1.0436, d3.loss_bbox: 0.7127, d3.loss_iou: 1.0338, d4.loss_bbox: 0.7097, d4.loss_iou: 1.0296, loss: 14.0204, grad_norm: 12.4861 2022-10-26 19:15:46,352 - mmdet - INFO - Epoch [6][850/1849] lr: 2.000e-04, eta: 8:02:56, time: 0.350, data_time: 0.009, memory: 4053, loss_contrastive: 3.3810, loss_bbox: 0.7088, loss_iou: 1.0264, d0.loss_bbox: 0.7655, d0.loss_iou: 1.0901, d1.loss_bbox: 0.7344, d1.loss_iou: 1.0581, d2.loss_bbox: 0.7202, d2.loss_iou: 1.0401, d3.loss_bbox: 0.7121, d3.loss_iou: 1.0302, d4.loss_bbox: 0.7085, d4.loss_iou: 1.0260, loss: 14.0016, grad_norm: 11.9273 2022-10-26 19:16:03,759 - mmdet - INFO - Epoch [6][900/1849] lr: 2.000e-04, eta: 8:02:37, time: 0.348, data_time: 0.009, memory: 4053, loss_contrastive: 3.3743, loss_bbox: 0.7038, loss_iou: 1.0259, d0.loss_bbox: 0.7580, d0.loss_iou: 1.0886, d1.loss_bbox: 0.7283, d1.loss_iou: 1.0565, d2.loss_bbox: 0.7145, d2.loss_iou: 1.0391, d3.loss_bbox: 0.7070, d3.loss_iou: 1.0294, d4.loss_bbox: 0.7036, d4.loss_iou: 1.0252, loss: 13.9542, grad_norm: 13.5754 2022-10-26 19:16:21,170 - mmdet - INFO - Epoch [6][950/1849] lr: 2.000e-04, eta: 8:02:18, time: 0.348, data_time: 0.009, memory: 4053, loss_contrastive: 3.3756, loss_bbox: 0.7070, loss_iou: 1.0319, d0.loss_bbox: 0.7617, d0.loss_iou: 1.0938, d1.loss_bbox: 0.7321, d1.loss_iou: 1.0605, d2.loss_bbox: 0.7185, d2.loss_iou: 1.0447, d3.loss_bbox: 0.7103, d3.loss_iou: 1.0357, d4.loss_bbox: 0.7070, d4.loss_iou: 1.0315, loss: 14.0103, grad_norm: 14.4844 2022-10-26 19:16:38,371 - mmdet - INFO - Epoch [6][1000/1849] lr: 2.000e-04, eta: 8:01:57, time: 0.344, data_time: 0.009, memory: 4053, loss_contrastive: 3.3750, loss_bbox: 0.7093, loss_iou: 1.0308, d0.loss_bbox: 0.7625, d0.loss_iou: 1.0922, d1.loss_bbox: 0.7317, d1.loss_iou: 1.0611, d2.loss_bbox: 0.7188, d2.loss_iou: 1.0437, d3.loss_bbox: 0.7110, d3.loss_iou: 1.0344, d4.loss_bbox: 0.7088, d4.loss_iou: 1.0305, loss: 14.0098, grad_norm: 12.6317 2022-10-26 19:16:55,448 - mmdet - INFO - Epoch [6][1050/1849] lr: 2.000e-04, eta: 8:01:35, time: 0.341, data_time: 0.009, memory: 4053, loss_contrastive: 3.3681, loss_bbox: 0.7059, loss_iou: 1.0263, d0.loss_bbox: 0.7596, d0.loss_iou: 1.0887, d1.loss_bbox: 0.7310, d1.loss_iou: 1.0588, d2.loss_bbox: 0.7174, d2.loss_iou: 1.0419, d3.loss_bbox: 0.7091, d3.loss_iou: 1.0318, d4.loss_bbox: 0.7060, d4.loss_iou: 1.0266, loss: 13.9713, grad_norm: 13.5655 2022-10-26 19:17:12,700 - mmdet - INFO - Epoch [6][1100/1849] lr: 2.000e-04, eta: 8:01:15, time: 0.345, data_time: 0.009, memory: 4053, loss_contrastive: 3.3681, loss_bbox: 0.7068, loss_iou: 1.0239, d0.loss_bbox: 0.7608, d0.loss_iou: 1.0862, d1.loss_bbox: 0.7320, d1.loss_iou: 1.0544, d2.loss_bbox: 0.7186, d2.loss_iou: 1.0377, d3.loss_bbox: 0.7103, d3.loss_iou: 1.0276, d4.loss_bbox: 0.7068, d4.loss_iou: 1.0235, loss: 13.9567, grad_norm: 12.4752 2022-10-26 19:17:30,138 - mmdet - INFO - Epoch [6][1150/1849] lr: 2.000e-04, eta: 8:00:57, time: 0.349, data_time: 0.009, memory: 4053, loss_contrastive: 3.3707, loss_bbox: 0.7042, loss_iou: 1.0304, d0.loss_bbox: 0.7577, d0.loss_iou: 1.0941, d1.loss_bbox: 0.7288, d1.loss_iou: 1.0626, d2.loss_bbox: 0.7152, d2.loss_iou: 1.0437, d3.loss_bbox: 0.7070, d3.loss_iou: 1.0345, d4.loss_bbox: 0.7040, d4.loss_iou: 1.0299, loss: 13.9828, grad_norm: 13.7960 2022-10-26 19:17:47,572 - mmdet - INFO - Epoch [6][1200/1849] lr: 2.000e-04, eta: 8:00:38, time: 0.349, data_time: 0.009, memory: 4053, loss_contrastive: 3.3716, loss_bbox: 0.7073, loss_iou: 1.0235, d0.loss_bbox: 0.7611, d0.loss_iou: 1.0847, d1.loss_bbox: 0.7321, d1.loss_iou: 1.0539, d2.loss_bbox: 0.7183, d2.loss_iou: 1.0365, d3.loss_bbox: 0.7108, d3.loss_iou: 1.0272, d4.loss_bbox: 0.7072, d4.loss_iou: 1.0226, loss: 13.9569, grad_norm: 14.2349 2022-10-26 19:18:04,665 - mmdet - INFO - Epoch [6][1250/1849] lr: 2.000e-04, eta: 8:00:16, time: 0.342, data_time: 0.009, memory: 4053, loss_contrastive: 3.3598, loss_bbox: 0.7109, loss_iou: 1.0257, d0.loss_bbox: 0.7640, d0.loss_iou: 1.0856, d1.loss_bbox: 0.7351, d1.loss_iou: 1.0557, d2.loss_bbox: 0.7219, d2.loss_iou: 1.0394, d3.loss_bbox: 0.7141, d3.loss_iou: 1.0295, d4.loss_bbox: 0.7108, d4.loss_iou: 1.0252, loss: 13.9778, grad_norm: 13.8910 2022-10-26 19:18:22,107 - mmdet - INFO - Epoch [6][1300/1849] lr: 2.000e-04, eta: 7:59:58, time: 0.349, data_time: 0.009, memory: 4053, loss_contrastive: 3.3614, loss_bbox: 0.7045, loss_iou: 1.0253, d0.loss_bbox: 0.7582, d0.loss_iou: 1.0889, d1.loss_bbox: 0.7302, d1.loss_iou: 1.0576, d2.loss_bbox: 0.7166, d2.loss_iou: 1.0404, d3.loss_bbox: 0.7078, d3.loss_iou: 1.0292, d4.loss_bbox: 0.7044, d4.loss_iou: 1.0249, loss: 13.9494, grad_norm: 11.5324 2022-10-26 19:18:39,464 - mmdet - INFO - Epoch [6][1350/1849] lr: 2.000e-04, eta: 7:59:38, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 3.3663, loss_bbox: 0.7079, loss_iou: 1.0309, d0.loss_bbox: 0.7609, d0.loss_iou: 1.0919, d1.loss_bbox: 0.7321, d1.loss_iou: 1.0617, d2.loss_bbox: 0.7184, d2.loss_iou: 1.0434, d3.loss_bbox: 0.7100, d3.loss_iou: 1.0337, d4.loss_bbox: 0.7075, d4.loss_iou: 1.0298, loss: 13.9945, grad_norm: 14.2071 2022-10-26 19:18:56,830 - mmdet - INFO - Epoch [6][1400/1849] lr: 2.000e-04, eta: 7:59:19, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 3.3671, loss_bbox: 0.7076, loss_iou: 1.0244, d0.loss_bbox: 0.7625, d0.loss_iou: 1.0885, d1.loss_bbox: 0.7323, d1.loss_iou: 1.0562, d2.loss_bbox: 0.7186, d2.loss_iou: 1.0380, d3.loss_bbox: 0.7102, d3.loss_iou: 1.0286, d4.loss_bbox: 0.7072, d4.loss_iou: 1.0239, loss: 13.9652, grad_norm: 14.1177 2022-10-26 19:19:14,062 - mmdet - INFO - Epoch [6][1450/1849] lr: 2.000e-04, eta: 7:58:59, time: 0.345, data_time: 0.009, memory: 4053, loss_contrastive: 3.3596, loss_bbox: 0.7068, loss_iou: 1.0226, d0.loss_bbox: 0.7591, d0.loss_iou: 1.0830, d1.loss_bbox: 0.7314, d1.loss_iou: 1.0515, d2.loss_bbox: 0.7186, d2.loss_iou: 1.0358, d3.loss_bbox: 0.7098, d3.loss_iou: 1.0263, d4.loss_bbox: 0.7067, d4.loss_iou: 1.0220, loss: 13.9332, grad_norm: 15.5481 2022-10-26 19:19:31,492 - mmdet - INFO - Epoch [6][1500/1849] lr: 2.000e-04, eta: 7:58:40, time: 0.349, data_time: 0.009, memory: 4053, loss_contrastive: 3.3649, loss_bbox: 0.7065, loss_iou: 1.0257, d0.loss_bbox: 0.7612, d0.loss_iou: 1.0892, d1.loss_bbox: 0.7313, d1.loss_iou: 1.0566, d2.loss_bbox: 0.7174, d2.loss_iou: 1.0391, d3.loss_bbox: 0.7093, d3.loss_iou: 1.0295, d4.loss_bbox: 0.7065, d4.loss_iou: 1.0251, loss: 13.9622, grad_norm: 12.9911 2022-10-26 19:19:48,898 - mmdet - INFO - Epoch [6][1550/1849] lr: 2.000e-04, eta: 7:58:21, time: 0.348, data_time: 0.009, memory: 4053, loss_contrastive: 3.3529, loss_bbox: 0.7048, loss_iou: 1.0260, d0.loss_bbox: 0.7588, d0.loss_iou: 1.0860, d1.loss_bbox: 0.7291, d1.loss_iou: 1.0551, d2.loss_bbox: 0.7156, d2.loss_iou: 1.0386, d3.loss_bbox: 0.7073, d3.loss_iou: 1.0293, d4.loss_bbox: 0.7045, d4.loss_iou: 1.0254, loss: 13.9335, grad_norm: 13.5384 2022-10-26 19:20:06,103 - mmdet - INFO - Epoch [6][1600/1849] lr: 2.000e-04, eta: 7:58:01, time: 0.344, data_time: 0.009, memory: 4053, loss_contrastive: 3.3586, loss_bbox: 0.7083, loss_iou: 1.0258, d0.loss_bbox: 0.7621, d0.loss_iou: 1.0882, d1.loss_bbox: 0.7325, d1.loss_iou: 1.0575, d2.loss_bbox: 0.7190, d2.loss_iou: 1.0398, d3.loss_bbox: 0.7113, d3.loss_iou: 1.0303, d4.loss_bbox: 0.7085, d4.loss_iou: 1.0252, loss: 13.9672, grad_norm: 13.5752 2022-10-26 19:20:23,360 - mmdet - INFO - Epoch [6][1650/1849] lr: 2.000e-04, eta: 7:57:41, time: 0.345, data_time: 0.009, memory: 4053, loss_contrastive: 3.3587, loss_bbox: 0.7063, loss_iou: 1.0289, d0.loss_bbox: 0.7604, d0.loss_iou: 1.0898, d1.loss_bbox: 0.7317, d1.loss_iou: 1.0584, d2.loss_bbox: 0.7179, d2.loss_iou: 1.0413, d3.loss_bbox: 0.7098, d3.loss_iou: 1.0328, d4.loss_bbox: 0.7060, d4.loss_iou: 1.0283, loss: 13.9703, grad_norm: 12.3211 2022-10-26 19:20:40,518 - mmdet - INFO - Epoch [6][1700/1849] lr: 2.000e-04, eta: 7:57:20, time: 0.343, data_time: 0.009, memory: 4053, loss_contrastive: 3.3535, loss_bbox: 0.7031, loss_iou: 1.0232, d0.loss_bbox: 0.7577, d0.loss_iou: 1.0858, d1.loss_bbox: 0.7287, d1.loss_iou: 1.0544, d2.loss_bbox: 0.7146, d2.loss_iou: 1.0370, d3.loss_bbox: 0.7066, d3.loss_iou: 1.0272, d4.loss_bbox: 0.7029, d4.loss_iou: 1.0230, loss: 13.9178, grad_norm: 13.7663 2022-10-26 19:20:57,848 - mmdet - INFO - Epoch [6][1750/1849] lr: 2.000e-04, eta: 7:57:01, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 3.3620, loss_bbox: 0.7069, loss_iou: 1.0258, d0.loss_bbox: 0.7608, d0.loss_iou: 1.0887, d1.loss_bbox: 0.7315, d1.loss_iou: 1.0568, d2.loss_bbox: 0.7183, d2.loss_iou: 1.0400, d3.loss_bbox: 0.7095, d3.loss_iou: 1.0294, d4.loss_bbox: 0.7066, d4.loss_iou: 1.0252, loss: 13.9614, grad_norm: 11.2220 2022-10-26 19:21:14,847 - mmdet - INFO - Epoch [6][1800/1849] lr: 2.000e-04, eta: 7:56:39, time: 0.340, data_time: 0.009, memory: 4053, loss_contrastive: 3.3563, loss_bbox: 0.7050, loss_iou: 1.0245, d0.loss_bbox: 0.7591, d0.loss_iou: 1.0868, d1.loss_bbox: 0.7297, d1.loss_iou: 1.0566, d2.loss_bbox: 0.7166, d2.loss_iou: 1.0383, d3.loss_bbox: 0.7085, d3.loss_iou: 1.0288, d4.loss_bbox: 0.7045, d4.loss_iou: 1.0242, loss: 13.9390, grad_norm: 12.2295 2022-10-26 19:21:32,173 - mmdet - INFO - Saving checkpoint at 6 epochs 2022-10-26 19:21:53,854 - mmdet - INFO - Epoch [7][50/1849] lr: 2.000e-04, eta: 7:54:20, time: 0.409, data_time: 0.070, memory: 4053, loss_contrastive: 3.3489, loss_bbox: 0.7015, loss_iou: 1.0191, d0.loss_bbox: 0.7557, d0.loss_iou: 1.0814, d1.loss_bbox: 0.7267, d1.loss_iou: 1.0519, d2.loss_bbox: 0.7125, d2.loss_iou: 1.0330, d3.loss_bbox: 0.7043, d3.loss_iou: 1.0237, d4.loss_bbox: 0.7010, d4.loss_iou: 1.0191, loss: 13.8787, grad_norm: 12.7214 2022-10-26 19:22:11,069 - mmdet - INFO - Epoch [7][100/1849] lr: 2.000e-04, eta: 7:54:01, time: 0.344, data_time: 0.009, memory: 4053, loss_contrastive: 3.3482, loss_bbox: 0.7050, loss_iou: 1.0245, d0.loss_bbox: 0.7595, d0.loss_iou: 1.0864, d1.loss_bbox: 0.7303, d1.loss_iou: 1.0555, d2.loss_bbox: 0.7162, d2.loss_iou: 1.0382, d3.loss_bbox: 0.7080, d3.loss_iou: 1.0288, d4.loss_bbox: 0.7049, d4.loss_iou: 1.0238, loss: 13.9293, grad_norm: 11.7510 2022-10-26 19:22:28,433 - mmdet - INFO - Epoch [7][150/1849] lr: 2.000e-04, eta: 7:53:42, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 3.3515, loss_bbox: 0.7069, loss_iou: 1.0281, d0.loss_bbox: 0.7585, d0.loss_iou: 1.0876, d1.loss_bbox: 0.7319, d1.loss_iou: 1.0573, d2.loss_bbox: 0.7189, d2.loss_iou: 1.0409, d3.loss_bbox: 0.7098, d3.loss_iou: 1.0310, d4.loss_bbox: 0.7068, d4.loss_iou: 1.0276, loss: 13.9568, grad_norm: 12.4445 2022-10-26 19:22:45,781 - mmdet - INFO - Epoch [7][200/1849] lr: 2.000e-04, eta: 7:53:23, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 3.3486, loss_bbox: 0.7035, loss_iou: 1.0195, d0.loss_bbox: 0.7577, d0.loss_iou: 1.0842, d1.loss_bbox: 0.7284, d1.loss_iou: 1.0510, d2.loss_bbox: 0.7147, d2.loss_iou: 1.0340, d3.loss_bbox: 0.7066, d3.loss_iou: 1.0243, d4.loss_bbox: 0.7032, d4.loss_iou: 1.0193, loss: 13.8948, grad_norm: 13.9750 2022-10-26 19:23:03,117 - mmdet - INFO - Epoch [7][250/1849] lr: 2.000e-04, eta: 7:53:05, time: 0.347, data_time: 0.009, memory: 4053, loss_contrastive: 3.3376, loss_bbox: 0.6997, loss_iou: 1.0200, d0.loss_bbox: 0.7544, d0.loss_iou: 1.0834, d1.loss_bbox: 0.7255, d1.loss_iou: 1.0521, d2.loss_bbox: 0.7106, d2.loss_iou: 1.0343, d3.loss_bbox: 0.7024, d3.loss_iou: 1.0243, d4.loss_bbox: 0.6992, d4.loss_iou: 1.0196, loss: 13.8633, grad_norm: 12.7442 2022-10-26 19:23:20,534 - mmdet - INFO - Epoch [7][300/1849] lr: 2.000e-04, eta: 7:52:47, time: 0.348, data_time: 0.009, memory: 4053, loss_contrastive: 3.3472, loss_bbox: 0.7019, loss_iou: 1.0237, d0.loss_bbox: 0.7552, d0.loss_iou: 1.0851, d1.loss_bbox: 0.7263, d1.loss_iou: 1.0534, d2.loss_bbox: 0.7128, d2.loss_iou: 1.0365, d3.loss_bbox: 0.7047, d3.loss_iou: 1.0271, d4.loss_bbox: 0.7018, d4.loss_iou: 1.0231, loss: 13.8989, grad_norm: 12.7968 2022-10-26 19:23:38,107 - mmdet - INFO - Epoch [7][350/1849] lr: 2.000e-04, eta: 7:52:30, time: 0.352, data_time: 0.009, memory: 4053, loss_contrastive: 3.3416, loss_bbox: 0.7021, loss_iou: 1.0237, d0.loss_bbox: 0.7561, d0.loss_iou: 1.0837, d1.loss_bbox: 0.7267, d1.loss_iou: 1.0530, d2.loss_bbox: 0.7130, d2.loss_iou: 1.0369, d3.loss_bbox: 0.7053, d3.loss_iou: 1.0273, d4.loss_bbox: 0.7020, d4.loss_iou: 1.0231, loss: 13.8943, grad_norm: 14.4598 2022-10-26 19:23:55,361 - mmdet - INFO - Epoch [7][400/1849] lr: 2.000e-04, eta: 7:52:10, time: 0.345, data_time: 0.009, memory: 4053, loss_contrastive: 3.3418, loss_bbox: 0.7029, loss_iou: 1.0229, d0.loss_bbox: 0.7559, d0.loss_iou: 1.0852, d1.loss_bbox: 0.7275, d1.loss_iou: 1.0542, d2.loss_bbox: 0.7142, d2.loss_iou: 1.0363, d3.loss_bbox: 0.7053, d3.loss_iou: 1.0270, d4.loss_bbox: 0.7024, d4.loss_iou: 1.0223, loss: 13.8980, grad_norm: 15.3123 2022-10-26 19:24:12,990 - mmdet - INFO - Epoch [7][450/1849] lr: 2.000e-04, eta: 7:51:54, time: 0.353, data_time: 0.009, memory: 4053, loss_contrastive: 3.3434, loss_bbox: 0.7034, loss_iou: 1.0188, d0.loss_bbox: 0.7592, d0.loss_iou: 1.0837, d1.loss_bbox: 0.7294, d1.loss_iou: 1.0512, d2.loss_bbox: 0.7150, d2.loss_iou: 1.0330, d3.loss_bbox: 0.7068, d3.loss_iou: 1.0232, d4.loss_bbox: 0.7034, d4.loss_iou: 1.0183, loss: 13.8886, grad_norm: 14.9105 2022-10-26 19:24:30,251 - mmdet - INFO - Epoch [7][500/1849] lr: 2.000e-04, eta: 7:51:35, time: 0.345, data_time: 0.009, memory: 4053, loss_contrastive: 3.3346, loss_bbox: 0.7024, loss_iou: 1.0234, d0.loss_bbox: 0.7560, d0.loss_iou: 1.0858, d1.loss_bbox: 0.7275, d1.loss_iou: 1.0538, d2.loss_bbox: 0.7135, d2.loss_iou: 1.0357, d3.loss_bbox: 0.7056, d3.loss_iou: 1.0267, d4.loss_bbox: 0.7020, d4.loss_iou: 1.0230, loss: 13.8901, grad_norm: 14.7612 2022-10-26 19:24:47,642 - mmdet - INFO - Epoch [7][550/1849] lr: 2.000e-04, eta: 7:51:16, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.3333, loss_bbox: 0.7009, loss_iou: 1.0199, d0.loss_bbox: 0.7562, d0.loss_iou: 1.0848, d1.loss_bbox: 0.7267, d1.loss_iou: 1.0517, d2.loss_bbox: 0.7124, d2.loss_iou: 1.0343, d3.loss_bbox: 0.7041, d3.loss_iou: 1.0236, d4.loss_bbox: 0.7007, d4.loss_iou: 1.0195, loss: 13.8681, grad_norm: 14.8372 2022-10-26 19:25:05,015 - mmdet - INFO - Epoch [7][600/1849] lr: 2.000e-04, eta: 7:50:58, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.3448, loss_bbox: 0.7019, loss_iou: 1.0215, d0.loss_bbox: 0.7561, d0.loss_iou: 1.0843, d1.loss_bbox: 0.7270, d1.loss_iou: 1.0530, d2.loss_bbox: 0.7128, d2.loss_iou: 1.0361, d3.loss_bbox: 0.7055, d3.loss_iou: 1.0262, d4.loss_bbox: 0.7018, d4.loss_iou: 1.0216, loss: 13.8926, grad_norm: 13.4227 2022-10-26 19:25:22,842 - mmdet - INFO - Epoch [7][650/1849] lr: 2.000e-04, eta: 7:50:43, time: 0.357, data_time: 0.009, memory: 4054, loss_contrastive: 3.3338, loss_bbox: 0.7001, loss_iou: 1.0203, d0.loss_bbox: 0.7524, d0.loss_iou: 1.0822, d1.loss_bbox: 0.7239, d1.loss_iou: 1.0508, d2.loss_bbox: 0.7114, d2.loss_iou: 1.0338, d3.loss_bbox: 0.7034, d3.loss_iou: 1.0240, d4.loss_bbox: 0.6999, d4.loss_iou: 1.0199, loss: 13.8559, grad_norm: 12.7344 2022-10-26 19:25:40,129 - mmdet - INFO - Epoch [7][700/1849] lr: 2.000e-04, eta: 7:50:24, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.3295, loss_bbox: 0.7001, loss_iou: 1.0182, d0.loss_bbox: 0.7546, d0.loss_iou: 1.0813, d1.loss_bbox: 0.7260, d1.loss_iou: 1.0499, d2.loss_bbox: 0.7123, d2.loss_iou: 1.0324, d3.loss_bbox: 0.7035, d3.loss_iou: 1.0223, d4.loss_bbox: 0.7003, d4.loss_iou: 1.0177, loss: 13.8482, grad_norm: 13.7092 2022-10-26 19:25:57,649 - mmdet - INFO - Epoch [7][750/1849] lr: 2.000e-04, eta: 7:50:07, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.3358, loss_bbox: 0.7028, loss_iou: 1.0229, d0.loss_bbox: 0.7553, d0.loss_iou: 1.0833, d1.loss_bbox: 0.7271, d1.loss_iou: 1.0530, d2.loss_bbox: 0.7134, d2.loss_iou: 1.0366, d3.loss_bbox: 0.7054, d3.loss_iou: 1.0264, d4.loss_bbox: 0.7024, d4.loss_iou: 1.0225, loss: 13.8869, grad_norm: 15.4477 2022-10-26 19:26:15,329 - mmdet - INFO - Epoch [7][800/1849] lr: 2.000e-04, eta: 7:49:50, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.3360, loss_bbox: 0.7022, loss_iou: 1.0238, d0.loss_bbox: 0.7564, d0.loss_iou: 1.0861, d1.loss_bbox: 0.7279, d1.loss_iou: 1.0560, d2.loss_bbox: 0.7139, d2.loss_iou: 1.0375, d3.loss_bbox: 0.7056, d3.loss_iou: 1.0276, d4.loss_bbox: 0.7026, d4.loss_iou: 1.0231, loss: 13.8988, grad_norm: 13.3837 2022-10-26 19:26:32,697 - mmdet - INFO - Epoch [7][850/1849] lr: 2.000e-04, eta: 7:49:32, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.3337, loss_bbox: 0.6987, loss_iou: 1.0176, d0.loss_bbox: 0.7535, d0.loss_iou: 1.0825, d1.loss_bbox: 0.7244, d1.loss_iou: 1.0500, d2.loss_bbox: 0.7110, d2.loss_iou: 1.0313, d3.loss_bbox: 0.7025, d3.loss_iou: 1.0221, d4.loss_bbox: 0.6989, d4.loss_iou: 1.0171, loss: 13.8435, grad_norm: 11.3903 2022-10-26 19:26:50,077 - mmdet - INFO - Epoch [7][900/1849] lr: 2.000e-04, eta: 7:49:14, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.3390, loss_bbox: 0.7029, loss_iou: 1.0180, d0.loss_bbox: 0.7557, d0.loss_iou: 1.0803, d1.loss_bbox: 0.7279, d1.loss_iou: 1.0496, d2.loss_bbox: 0.7142, d2.loss_iou: 1.0316, d3.loss_bbox: 0.7062, d3.loss_iou: 1.0216, d4.loss_bbox: 0.7025, d4.loss_iou: 1.0173, loss: 13.8669, grad_norm: 13.7521 2022-10-26 19:27:07,289 - mmdet - INFO - Epoch [7][950/1849] lr: 2.000e-04, eta: 7:48:54, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.3345, loss_bbox: 0.6986, loss_iou: 1.0180, d0.loss_bbox: 0.7531, d0.loss_iou: 1.0819, d1.loss_bbox: 0.7236, d1.loss_iou: 1.0490, d2.loss_bbox: 0.7098, d2.loss_iou: 1.0311, d3.loss_bbox: 0.7018, d3.loss_iou: 1.0222, d4.loss_bbox: 0.6985, d4.loss_iou: 1.0177, loss: 13.8397, grad_norm: 14.2778 2022-10-26 19:27:24,571 - mmdet - INFO - Epoch [7][1000/1849] lr: 2.000e-04, eta: 7:48:35, time: 0.346, data_time: 0.010, memory: 4054, loss_contrastive: 3.3334, loss_bbox: 0.7002, loss_iou: 1.0177, d0.loss_bbox: 0.7533, d0.loss_iou: 1.0814, d1.loss_bbox: 0.7256, d1.loss_iou: 1.0495, d2.loss_bbox: 0.7113, d2.loss_iou: 1.0316, d3.loss_bbox: 0.7032, d3.loss_iou: 1.0217, d4.loss_bbox: 0.7001, d4.loss_iou: 1.0176, loss: 13.8466, grad_norm: 12.7626 2022-10-26 19:27:41,864 - mmdet - INFO - Epoch [7][1050/1849] lr: 2.000e-04, eta: 7:48:17, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.3302, loss_bbox: 0.7013, loss_iou: 1.0184, d0.loss_bbox: 0.7560, d0.loss_iou: 1.0821, d1.loss_bbox: 0.7265, d1.loss_iou: 1.0506, d2.loss_bbox: 0.7131, d2.loss_iou: 1.0320, d3.loss_bbox: 0.7047, d3.loss_iou: 1.0224, d4.loss_bbox: 0.7009, d4.loss_iou: 1.0178, loss: 13.8560, grad_norm: 12.9385 2022-10-26 19:27:59,304 - mmdet - INFO - Epoch [7][1100/1849] lr: 2.000e-04, eta: 7:47:59, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.3278, loss_bbox: 0.6986, loss_iou: 1.0208, d0.loss_bbox: 0.7532, d0.loss_iou: 1.0844, d1.loss_bbox: 0.7243, d1.loss_iou: 1.0526, d2.loss_bbox: 0.7111, d2.loss_iou: 1.0337, d3.loss_bbox: 0.7020, d3.loss_iou: 1.0245, d4.loss_bbox: 0.6988, d4.loss_iou: 1.0200, loss: 13.8519, grad_norm: 12.9693 2022-10-26 19:28:16,419 - mmdet - INFO - Epoch [7][1150/1849] lr: 2.000e-04, eta: 7:47:39, time: 0.342, data_time: 0.009, memory: 4054, loss_contrastive: 3.3342, loss_bbox: 0.7045, loss_iou: 1.0189, d0.loss_bbox: 0.7598, d0.loss_iou: 1.0827, d1.loss_bbox: 0.7299, d1.loss_iou: 1.0519, d2.loss_bbox: 0.7162, d2.loss_iou: 1.0337, d3.loss_bbox: 0.7076, d3.loss_iou: 1.0226, d4.loss_bbox: 0.7042, d4.loss_iou: 1.0187, loss: 13.8849, grad_norm: 12.5586 2022-10-26 19:28:33,919 - mmdet - INFO - Epoch [7][1200/1849] lr: 2.000e-04, eta: 7:47:21, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.3276, loss_bbox: 0.7009, loss_iou: 1.0199, d0.loss_bbox: 0.7551, d0.loss_iou: 1.0829, d1.loss_bbox: 0.7265, d1.loss_iou: 1.0515, d2.loss_bbox: 0.7127, d2.loss_iou: 1.0332, d3.loss_bbox: 0.7044, d3.loss_iou: 1.0237, d4.loss_bbox: 0.7009, d4.loss_iou: 1.0194, loss: 13.8586, grad_norm: 14.5645 2022-10-26 19:28:51,066 - mmdet - INFO - Epoch [7][1250/1849] lr: 2.000e-04, eta: 7:47:02, time: 0.343, data_time: 0.009, memory: 4054, loss_contrastive: 3.3201, loss_bbox: 0.6972, loss_iou: 1.0143, d0.loss_bbox: 0.7511, d0.loss_iou: 1.0778, d1.loss_bbox: 0.7225, d1.loss_iou: 1.0469, d2.loss_bbox: 0.7083, d2.loss_iou: 1.0285, d3.loss_bbox: 0.7000, d3.loss_iou: 1.0184, d4.loss_bbox: 0.6971, d4.loss_iou: 1.0139, loss: 13.7961, grad_norm: 14.6897 2022-10-26 19:29:08,633 - mmdet - INFO - Epoch [7][1300/1849] lr: 2.000e-04, eta: 7:46:45, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.3271, loss_bbox: 0.7008, loss_iou: 1.0154, d0.loss_bbox: 0.7537, d0.loss_iou: 1.0766, d1.loss_bbox: 0.7253, d1.loss_iou: 1.0455, d2.loss_bbox: 0.7120, d2.loss_iou: 1.0285, d3.loss_bbox: 0.7040, d3.loss_iou: 1.0198, d4.loss_bbox: 0.7004, d4.loss_iou: 1.0155, loss: 13.8246, grad_norm: 11.9102 2022-10-26 19:29:26,034 - mmdet - INFO - Epoch [7][1350/1849] lr: 2.000e-04, eta: 7:46:27, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.3257, loss_bbox: 0.6999, loss_iou: 1.0148, d0.loss_bbox: 0.7547, d0.loss_iou: 1.0806, d1.loss_bbox: 0.7250, d1.loss_iou: 1.0480, d2.loss_bbox: 0.7112, d2.loss_iou: 1.0296, d3.loss_bbox: 0.7025, d3.loss_iou: 1.0189, d4.loss_bbox: 0.6994, d4.loss_iou: 1.0142, loss: 13.8245, grad_norm: 13.7683 2022-10-26 19:29:43,403 - mmdet - INFO - Epoch [7][1400/1849] lr: 2.000e-04, eta: 7:46:08, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.3218, loss_bbox: 0.6997, loss_iou: 1.0177, d0.loss_bbox: 0.7548, d0.loss_iou: 1.0809, d1.loss_bbox: 0.7244, d1.loss_iou: 1.0492, d2.loss_bbox: 0.7113, d2.loss_iou: 1.0315, d3.loss_bbox: 0.7035, d3.loss_iou: 1.0223, d4.loss_bbox: 0.6999, d4.loss_iou: 1.0171, loss: 13.8341, grad_norm: 13.4698 2022-10-26 19:30:00,714 - mmdet - INFO - Epoch [7][1450/1849] lr: 2.000e-04, eta: 7:45:50, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.3155, loss_bbox: 0.6998, loss_iou: 1.0193, d0.loss_bbox: 0.7539, d0.loss_iou: 1.0803, d1.loss_bbox: 0.7258, d1.loss_iou: 1.0500, d2.loss_bbox: 0.7114, d2.loss_iou: 1.0327, d3.loss_bbox: 0.7038, d3.loss_iou: 1.0230, d4.loss_bbox: 0.6992, d4.loss_iou: 1.0193, loss: 13.8340, grad_norm: 13.5617 2022-10-26 19:30:18,474 - mmdet - INFO - Epoch [7][1500/1849] lr: 2.000e-04, eta: 7:45:34, time: 0.355, data_time: 0.009, memory: 4054, loss_contrastive: 3.3125, loss_bbox: 0.6987, loss_iou: 1.0143, d0.loss_bbox: 0.7515, d0.loss_iou: 1.0774, d1.loss_bbox: 0.7231, d1.loss_iou: 1.0456, d2.loss_bbox: 0.7105, d2.loss_iou: 1.0279, d3.loss_bbox: 0.7018, d3.loss_iou: 1.0186, d4.loss_bbox: 0.6984, d4.loss_iou: 1.0138, loss: 13.7942, grad_norm: 12.6103 2022-10-26 19:30:36,640 - mmdet - INFO - Epoch [7][1550/1849] lr: 2.000e-04, eta: 7:45:21, time: 0.364, data_time: 0.009, memory: 4054, loss_contrastive: 3.3142, loss_bbox: 0.6958, loss_iou: 1.0163, d0.loss_bbox: 0.7489, d0.loss_iou: 1.0778, d1.loss_bbox: 0.7207, d1.loss_iou: 1.0476, d2.loss_bbox: 0.7078, d2.loss_iou: 1.0303, d3.loss_bbox: 0.6993, d3.loss_iou: 1.0202, d4.loss_bbox: 0.6960, d4.loss_iou: 1.0158, loss: 13.7908, grad_norm: 14.6836 2022-10-26 19:30:53,925 - mmdet - INFO - Epoch [7][1600/1849] lr: 2.000e-04, eta: 7:45:02, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.3126, loss_bbox: 0.6977, loss_iou: 1.0151, d0.loss_bbox: 0.7509, d0.loss_iou: 1.0765, d1.loss_bbox: 0.7227, d1.loss_iou: 1.0460, d2.loss_bbox: 0.7100, d2.loss_iou: 1.0289, d3.loss_bbox: 0.7013, d3.loss_iou: 1.0197, d4.loss_bbox: 0.6978, d4.loss_iou: 1.0150, loss: 13.7943, grad_norm: 15.7344 2022-10-26 19:31:11,151 - mmdet - INFO - Epoch [7][1650/1849] lr: 2.000e-04, eta: 7:44:43, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.3168, loss_bbox: 0.6998, loss_iou: 1.0145, d0.loss_bbox: 0.7537, d0.loss_iou: 1.0756, d1.loss_bbox: 0.7251, d1.loss_iou: 1.0467, d2.loss_bbox: 0.7116, d2.loss_iou: 1.0287, d3.loss_bbox: 0.7033, d3.loss_iou: 1.0187, d4.loss_bbox: 0.6992, d4.loss_iou: 1.0147, loss: 13.8083, grad_norm: 11.9085 2022-10-26 19:31:28,459 - mmdet - INFO - Epoch [7][1700/1849] lr: 2.000e-04, eta: 7:44:24, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.3135, loss_bbox: 0.6991, loss_iou: 1.0187, d0.loss_bbox: 0.7527, d0.loss_iou: 1.0810, d1.loss_bbox: 0.7250, d1.loss_iou: 1.0496, d2.loss_bbox: 0.7110, d2.loss_iou: 1.0328, d3.loss_bbox: 0.7023, d3.loss_iou: 1.0226, d4.loss_bbox: 0.6990, d4.loss_iou: 1.0185, loss: 13.8258, grad_norm: 12.7033 2022-10-26 19:31:45,921 - mmdet - INFO - Epoch [7][1750/1849] lr: 2.000e-04, eta: 7:44:06, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.3215, loss_bbox: 0.6994, loss_iou: 1.0168, d0.loss_bbox: 0.7527, d0.loss_iou: 1.0803, d1.loss_bbox: 0.7250, d1.loss_iou: 1.0500, d2.loss_bbox: 0.7110, d2.loss_iou: 1.0317, d3.loss_bbox: 0.7026, d3.loss_iou: 1.0216, d4.loss_bbox: 0.6991, d4.loss_iou: 1.0162, loss: 13.8280, grad_norm: 12.7848 2022-10-26 19:32:03,222 - mmdet - INFO - Epoch [7][1800/1849] lr: 2.000e-04, eta: 7:43:48, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.3131, loss_bbox: 0.6951, loss_iou: 1.0180, d0.loss_bbox: 0.7493, d0.loss_iou: 1.0814, d1.loss_bbox: 0.7203, d1.loss_iou: 1.0495, d2.loss_bbox: 0.7072, d2.loss_iou: 1.0323, d3.loss_bbox: 0.6985, d3.loss_iou: 1.0226, d4.loss_bbox: 0.6945, d4.loss_iou: 1.0179, loss: 13.7997, grad_norm: 12.8593 2022-10-26 19:32:20,872 - mmdet - INFO - Saving checkpoint at 7 epochs 2022-10-26 19:32:42,578 - mmdet - INFO - Epoch [8][50/1849] lr: 2.000e-04, eta: 7:41:46, time: 0.409, data_time: 0.070, memory: 4054, loss_contrastive: 3.3124, loss_bbox: 0.6949, loss_iou: 1.0143, d0.loss_bbox: 0.7492, d0.loss_iou: 1.0779, d1.loss_bbox: 0.7202, d1.loss_iou: 1.0458, d2.loss_bbox: 0.7061, d2.loss_iou: 1.0279, d3.loss_bbox: 0.6985, d3.loss_iou: 1.0182, d4.loss_bbox: 0.6945, d4.loss_iou: 1.0139, loss: 13.7740, grad_norm: 13.2315 2022-10-26 19:33:00,015 - mmdet - INFO - Epoch [8][100/1849] lr: 2.000e-04, eta: 7:41:29, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.3132, loss_bbox: 0.6988, loss_iou: 1.0163, d0.loss_bbox: 0.7516, d0.loss_iou: 1.0789, d1.loss_bbox: 0.7235, d1.loss_iou: 1.0476, d2.loss_bbox: 0.7099, d2.loss_iou: 1.0302, d3.loss_bbox: 0.7017, d3.loss_iou: 1.0207, d4.loss_bbox: 0.6988, d4.loss_iou: 1.0160, loss: 13.8070, grad_norm: 12.4033 2022-10-26 19:33:17,411 - mmdet - INFO - Epoch [8][150/1849] lr: 2.000e-04, eta: 7:41:11, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.3142, loss_bbox: 0.7005, loss_iou: 1.0172, d0.loss_bbox: 0.7544, d0.loss_iou: 1.0797, d1.loss_bbox: 0.7261, d1.loss_iou: 1.0486, d2.loss_bbox: 0.7118, d2.loss_iou: 1.0313, d3.loss_bbox: 0.7036, d3.loss_iou: 1.0216, d4.loss_bbox: 0.7003, d4.loss_iou: 1.0171, loss: 13.8263, grad_norm: 12.3330 2022-10-26 19:33:34,932 - mmdet - INFO - Epoch [8][200/1849] lr: 2.000e-04, eta: 7:40:54, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.3057, loss_bbox: 0.6964, loss_iou: 1.0145, d0.loss_bbox: 0.7493, d0.loss_iou: 1.0775, d1.loss_bbox: 0.7212, d1.loss_iou: 1.0454, d2.loss_bbox: 0.7073, d2.loss_iou: 1.0275, d3.loss_bbox: 0.6998, d3.loss_iou: 1.0176, d4.loss_bbox: 0.6961, d4.loss_iou: 1.0140, loss: 13.7721, grad_norm: 13.7388 2022-10-26 19:33:52,227 - mmdet - INFO - Epoch [8][250/1849] lr: 2.000e-04, eta: 7:40:36, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.3095, loss_bbox: 0.6955, loss_iou: 1.0158, d0.loss_bbox: 0.7487, d0.loss_iou: 1.0800, d1.loss_bbox: 0.7204, d1.loss_iou: 1.0488, d2.loss_bbox: 0.7075, d2.loss_iou: 1.0314, d3.loss_bbox: 0.6991, d3.loss_iou: 1.0206, d4.loss_bbox: 0.6954, d4.loss_iou: 1.0156, loss: 13.7882, grad_norm: 14.5173 2022-10-26 19:34:09,444 - mmdet - INFO - Epoch [8][300/1849] lr: 2.000e-04, eta: 7:40:17, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.3010, loss_bbox: 0.6964, loss_iou: 1.0136, d0.loss_bbox: 0.7507, d0.loss_iou: 1.0761, d1.loss_bbox: 0.7222, d1.loss_iou: 1.0449, d2.loss_bbox: 0.7084, d2.loss_iou: 1.0281, d3.loss_bbox: 0.7003, d3.loss_iou: 1.0182, d4.loss_bbox: 0.6968, d4.loss_iou: 1.0133, loss: 13.7700, grad_norm: 12.2188 2022-10-26 19:34:26,909 - mmdet - INFO - Epoch [8][350/1849] lr: 2.000e-04, eta: 7:40:00, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.3012, loss_bbox: 0.6962, loss_iou: 1.0135, d0.loss_bbox: 0.7497, d0.loss_iou: 1.0762, d1.loss_bbox: 0.7221, d1.loss_iou: 1.0452, d2.loss_bbox: 0.7082, d2.loss_iou: 1.0282, d3.loss_bbox: 0.6999, d3.loss_iou: 1.0181, d4.loss_bbox: 0.6960, d4.loss_iou: 1.0132, loss: 13.7677, grad_norm: 12.7425 2022-10-26 19:34:44,125 - mmdet - INFO - Epoch [8][400/1849] lr: 2.000e-04, eta: 7:39:41, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.3048, loss_bbox: 0.6957, loss_iou: 1.0125, d0.loss_bbox: 0.7494, d0.loss_iou: 1.0767, d1.loss_bbox: 0.7214, d1.loss_iou: 1.0454, d2.loss_bbox: 0.7083, d2.loss_iou: 1.0277, d3.loss_bbox: 0.6987, d3.loss_iou: 1.0171, d4.loss_bbox: 0.6956, d4.loss_iou: 1.0126, loss: 13.7659, grad_norm: 13.0145 2022-10-26 19:35:01,326 - mmdet - INFO - Epoch [8][450/1849] lr: 2.000e-04, eta: 7:39:23, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.3095, loss_bbox: 0.6992, loss_iou: 1.0206, d0.loss_bbox: 0.7530, d0.loss_iou: 1.0840, d1.loss_bbox: 0.7239, d1.loss_iou: 1.0530, d2.loss_bbox: 0.7104, d2.loss_iou: 1.0352, d3.loss_bbox: 0.7025, d3.loss_iou: 1.0244, d4.loss_bbox: 0.6991, d4.loss_iou: 1.0202, loss: 13.8349, grad_norm: 13.7050 2022-10-26 19:35:18,811 - mmdet - INFO - Epoch [8][500/1849] lr: 2.000e-04, eta: 7:39:06, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2962, loss_bbox: 0.6965, loss_iou: 1.0143, d0.loss_bbox: 0.7497, d0.loss_iou: 1.0776, d1.loss_bbox: 0.7216, d1.loss_iou: 1.0468, d2.loss_bbox: 0.7083, d2.loss_iou: 1.0285, d3.loss_bbox: 0.7000, d3.loss_iou: 1.0190, d4.loss_bbox: 0.6965, d4.loss_iou: 1.0140, loss: 13.7690, grad_norm: 11.7712 2022-10-26 19:35:36,133 - mmdet - INFO - Epoch [8][550/1849] lr: 2.000e-04, eta: 7:38:47, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.3049, loss_bbox: 0.6944, loss_iou: 1.0167, d0.loss_bbox: 0.7496, d0.loss_iou: 1.0809, d1.loss_bbox: 0.7195, d1.loss_iou: 1.0493, d2.loss_bbox: 0.7062, d2.loss_iou: 1.0307, d3.loss_bbox: 0.6974, d3.loss_iou: 1.0206, d4.loss_bbox: 0.6939, d4.loss_iou: 1.0165, loss: 13.7805, grad_norm: 14.9142 2022-10-26 19:35:53,599 - mmdet - INFO - Epoch [8][600/1849] lr: 2.000e-04, eta: 7:38:30, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2981, loss_bbox: 0.6927, loss_iou: 1.0089, d0.loss_bbox: 0.7464, d0.loss_iou: 1.0726, d1.loss_bbox: 0.7187, d1.loss_iou: 1.0411, d2.loss_bbox: 0.7055, d2.loss_iou: 1.0233, d3.loss_bbox: 0.6966, d3.loss_iou: 1.0131, d4.loss_bbox: 0.6928, d4.loss_iou: 1.0088, loss: 13.7186, grad_norm: 15.3369 2022-10-26 19:36:10,989 - mmdet - INFO - Epoch [8][650/1849] lr: 2.000e-04, eta: 7:38:12, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2971, loss_bbox: 0.6933, loss_iou: 1.0099, d0.loss_bbox: 0.7455, d0.loss_iou: 1.0733, d1.loss_bbox: 0.7180, d1.loss_iou: 1.0413, d2.loss_bbox: 0.7048, d2.loss_iou: 1.0243, d3.loss_bbox: 0.6965, d3.loss_iou: 1.0138, d4.loss_bbox: 0.6931, d4.loss_iou: 1.0096, loss: 13.7205, grad_norm: 13.8597 2022-10-26 19:36:28,381 - mmdet - INFO - Epoch [8][700/1849] lr: 2.000e-04, eta: 7:37:55, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.3012, loss_bbox: 0.6952, loss_iou: 1.0120, d0.loss_bbox: 0.7477, d0.loss_iou: 1.0752, d1.loss_bbox: 0.7199, d1.loss_iou: 1.0439, d2.loss_bbox: 0.7062, d2.loss_iou: 1.0262, d3.loss_bbox: 0.6981, d3.loss_iou: 1.0171, d4.loss_bbox: 0.6951, d4.loss_iou: 1.0121, loss: 13.7501, grad_norm: 14.4021 2022-10-26 19:36:45,742 - mmdet - INFO - Epoch [8][750/1849] lr: 2.000e-04, eta: 7:37:37, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2973, loss_bbox: 0.6922, loss_iou: 1.0082, d0.loss_bbox: 0.7492, d0.loss_iou: 1.0733, d1.loss_bbox: 0.7199, d1.loss_iou: 1.0400, d2.loss_bbox: 0.7054, d2.loss_iou: 1.0226, d3.loss_bbox: 0.6961, d3.loss_iou: 1.0122, d4.loss_bbox: 0.6919, d4.loss_iou: 1.0081, loss: 13.7165, grad_norm: 13.0291 2022-10-26 19:37:03,209 - mmdet - INFO - Epoch [8][800/1849] lr: 2.000e-04, eta: 7:37:20, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.3019, loss_bbox: 0.6946, loss_iou: 1.0144, d0.loss_bbox: 0.7475, d0.loss_iou: 1.0775, d1.loss_bbox: 0.7200, d1.loss_iou: 1.0464, d2.loss_bbox: 0.7065, d2.loss_iou: 1.0291, d3.loss_bbox: 0.6979, d3.loss_iou: 1.0191, d4.loss_bbox: 0.6945, d4.loss_iou: 1.0141, loss: 13.7636, grad_norm: 11.8867 2022-10-26 19:37:20,442 - mmdet - INFO - Epoch [8][850/1849] lr: 2.000e-04, eta: 7:37:01, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.3001, loss_bbox: 0.6967, loss_iou: 1.0118, d0.loss_bbox: 0.7508, d0.loss_iou: 1.0746, d1.loss_bbox: 0.7228, d1.loss_iou: 1.0435, d2.loss_bbox: 0.7091, d2.loss_iou: 1.0257, d3.loss_bbox: 0.6996, d3.loss_iou: 1.0155, d4.loss_bbox: 0.6964, d4.loss_iou: 1.0116, loss: 13.7583, grad_norm: 12.4833 2022-10-26 19:37:38,037 - mmdet - INFO - Epoch [8][900/1849] lr: 2.000e-04, eta: 7:36:45, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.3084, loss_bbox: 0.6980, loss_iou: 1.0106, d0.loss_bbox: 0.7495, d0.loss_iou: 1.0732, d1.loss_bbox: 0.7227, d1.loss_iou: 1.0417, d2.loss_bbox: 0.7089, d2.loss_iou: 1.0248, d3.loss_bbox: 0.7009, d3.loss_iou: 1.0151, d4.loss_bbox: 0.6976, d4.loss_iou: 1.0108, loss: 13.7622, grad_norm: 12.6518 2022-10-26 19:37:55,310 - mmdet - INFO - Epoch [8][950/1849] lr: 2.000e-04, eta: 7:36:26, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.3020, loss_bbox: 0.7010, loss_iou: 1.0161, d0.loss_bbox: 0.7534, d0.loss_iou: 1.0793, d1.loss_bbox: 0.7266, d1.loss_iou: 1.0482, d2.loss_bbox: 0.7123, d2.loss_iou: 1.0297, d3.loss_bbox: 0.7042, d3.loss_iou: 1.0199, d4.loss_bbox: 0.7010, d4.loss_iou: 1.0155, loss: 13.8092, grad_norm: 12.1174 2022-10-26 19:38:12,745 - mmdet - INFO - Epoch [8][1000/1849] lr: 2.000e-04, eta: 7:36:09, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2981, loss_bbox: 0.6942, loss_iou: 1.0137, d0.loss_bbox: 0.7480, d0.loss_iou: 1.0759, d1.loss_bbox: 0.7208, d1.loss_iou: 1.0453, d2.loss_bbox: 0.7063, d2.loss_iou: 1.0280, d3.loss_bbox: 0.6984, d3.loss_iou: 1.0182, d4.loss_bbox: 0.6942, d4.loss_iou: 1.0135, loss: 13.7545, grad_norm: 12.4965 2022-10-26 19:38:29,972 - mmdet - INFO - Epoch [8][1050/1849] lr: 2.000e-04, eta: 7:35:50, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.3055, loss_bbox: 0.7001, loss_iou: 1.0175, d0.loss_bbox: 0.7538, d0.loss_iou: 1.0811, d1.loss_bbox: 0.7254, d1.loss_iou: 1.0488, d2.loss_bbox: 0.7116, d2.loss_iou: 1.0320, d3.loss_bbox: 0.7033, d3.loss_iou: 1.0214, d4.loss_bbox: 0.6998, d4.loss_iou: 1.0173, loss: 13.8176, grad_norm: 11.9800 2022-10-26 19:38:47,329 - mmdet - INFO - Epoch [8][1100/1849] lr: 2.000e-04, eta: 7:35:33, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2974, loss_bbox: 0.6948, loss_iou: 1.0119, d0.loss_bbox: 0.7491, d0.loss_iou: 1.0762, d1.loss_bbox: 0.7199, d1.loss_iou: 1.0443, d2.loss_bbox: 0.7064, d2.loss_iou: 1.0264, d3.loss_bbox: 0.6979, d3.loss_iou: 1.0168, d4.loss_bbox: 0.6946, d4.loss_iou: 1.0116, loss: 13.7472, grad_norm: 10.8858 2022-10-26 19:39:04,571 - mmdet - INFO - Epoch [8][1150/1849] lr: 2.000e-04, eta: 7:35:14, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.2994, loss_bbox: 0.6959, loss_iou: 1.0156, d0.loss_bbox: 0.7501, d0.loss_iou: 1.0792, d1.loss_bbox: 0.7216, d1.loss_iou: 1.0461, d2.loss_bbox: 0.7080, d2.loss_iou: 1.0294, d3.loss_bbox: 0.6992, d3.loss_iou: 1.0190, d4.loss_bbox: 0.6955, d4.loss_iou: 1.0151, loss: 13.7740, grad_norm: 14.1759 2022-10-26 19:39:22,053 - mmdet - INFO - Epoch [8][1200/1849] lr: 2.000e-04, eta: 7:34:57, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2948, loss_bbox: 0.6964, loss_iou: 1.0097, d0.loss_bbox: 0.7493, d0.loss_iou: 1.0742, d1.loss_bbox: 0.7224, d1.loss_iou: 1.0420, d2.loss_bbox: 0.7084, d2.loss_iou: 1.0239, d3.loss_bbox: 0.7003, d3.loss_iou: 1.0141, d4.loss_bbox: 0.6965, d4.loss_iou: 1.0095, loss: 13.7416, grad_norm: 12.5069 2022-10-26 19:39:39,465 - mmdet - INFO - Epoch [8][1250/1849] lr: 2.000e-04, eta: 7:34:39, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2855, loss_bbox: 0.6904, loss_iou: 1.0076, d0.loss_bbox: 0.7447, d0.loss_iou: 1.0727, d1.loss_bbox: 0.7165, d1.loss_iou: 1.0407, d2.loss_bbox: 0.7024, d2.loss_iou: 1.0230, d3.loss_bbox: 0.6939, d3.loss_iou: 1.0121, d4.loss_bbox: 0.6903, d4.loss_iou: 1.0074, loss: 13.6872, grad_norm: 13.7926 2022-10-26 19:39:56,611 - mmdet - INFO - Epoch [8][1300/1849] lr: 2.000e-04, eta: 7:34:20, time: 0.343, data_time: 0.009, memory: 4054, loss_contrastive: 3.2941, loss_bbox: 0.6939, loss_iou: 1.0146, d0.loss_bbox: 0.7458, d0.loss_iou: 1.0773, d1.loss_bbox: 0.7187, d1.loss_iou: 1.0459, d2.loss_bbox: 0.7058, d2.loss_iou: 1.0291, d3.loss_bbox: 0.6974, d3.loss_iou: 1.0185, d4.loss_bbox: 0.6937, d4.loss_iou: 1.0143, loss: 13.7492, grad_norm: 13.7906 2022-10-26 19:40:13,882 - mmdet - INFO - Epoch [8][1350/1849] lr: 2.000e-04, eta: 7:34:02, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.2896, loss_bbox: 0.6938, loss_iou: 1.0108, d0.loss_bbox: 0.7477, d0.loss_iou: 1.0741, d1.loss_bbox: 0.7190, d1.loss_iou: 1.0425, d2.loss_bbox: 0.7055, d2.loss_iou: 1.0247, d3.loss_bbox: 0.6972, d3.loss_iou: 1.0143, d4.loss_bbox: 0.6936, d4.loss_iou: 1.0105, loss: 13.7233, grad_norm: 13.1088 2022-10-26 19:40:31,466 - mmdet - INFO - Epoch [8][1400/1849] lr: 2.000e-04, eta: 7:33:46, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2910, loss_bbox: 0.6958, loss_iou: 1.0099, d0.loss_bbox: 0.7487, d0.loss_iou: 1.0735, d1.loss_bbox: 0.7213, d1.loss_iou: 1.0429, d2.loss_bbox: 0.7078, d2.loss_iou: 1.0249, d3.loss_bbox: 0.6993, d3.loss_iou: 1.0140, d4.loss_bbox: 0.6961, d4.loss_iou: 1.0097, loss: 13.7349, grad_norm: 15.3473 2022-10-26 19:40:49,252 - mmdet - INFO - Epoch [8][1450/1849] lr: 2.000e-04, eta: 7:33:30, time: 0.356, data_time: 0.009, memory: 4054, loss_contrastive: 3.2924, loss_bbox: 0.6947, loss_iou: 1.0113, d0.loss_bbox: 0.7488, d0.loss_iou: 1.0740, d1.loss_bbox: 0.7195, d1.loss_iou: 1.0425, d2.loss_bbox: 0.7060, d2.loss_iou: 1.0249, d3.loss_bbox: 0.6977, d3.loss_iou: 1.0149, d4.loss_bbox: 0.6944, d4.loss_iou: 1.0107, loss: 13.7318, grad_norm: 12.9991 2022-10-26 19:41:06,695 - mmdet - INFO - Epoch [8][1500/1849] lr: 2.000e-04, eta: 7:33:13, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2916, loss_bbox: 0.6904, loss_iou: 1.0085, d0.loss_bbox: 0.7456, d0.loss_iou: 1.0753, d1.loss_bbox: 0.7167, d1.loss_iou: 1.0428, d2.loss_bbox: 0.7029, d2.loss_iou: 1.0240, d3.loss_bbox: 0.6935, d3.loss_iou: 1.0137, d4.loss_bbox: 0.6904, d4.loss_iou: 1.0086, loss: 13.7041, grad_norm: 12.7979 2022-10-26 19:41:24,199 - mmdet - INFO - Epoch [8][1550/1849] lr: 2.000e-04, eta: 7:32:56, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2932, loss_bbox: 0.6947, loss_iou: 1.0102, d0.loss_bbox: 0.7506, d0.loss_iou: 1.0750, d1.loss_bbox: 0.7212, d1.loss_iou: 1.0431, d2.loss_bbox: 0.7077, d2.loss_iou: 1.0241, d3.loss_bbox: 0.6987, d3.loss_iou: 1.0137, d4.loss_bbox: 0.6950, d4.loss_iou: 1.0098, loss: 13.7370, grad_norm: 12.6363 2022-10-26 19:41:41,306 - mmdet - INFO - Epoch [8][1600/1849] lr: 2.000e-04, eta: 7:32:37, time: 0.342, data_time: 0.009, memory: 4054, loss_contrastive: 3.2850, loss_bbox: 0.6906, loss_iou: 1.0096, d0.loss_bbox: 0.7433, d0.loss_iou: 1.0718, d1.loss_bbox: 0.7151, d1.loss_iou: 1.0415, d2.loss_bbox: 0.7016, d2.loss_iou: 1.0237, d3.loss_bbox: 0.6934, d3.loss_iou: 1.0137, d4.loss_bbox: 0.6903, d4.loss_iou: 1.0095, loss: 13.6892, grad_norm: 14.4929 2022-10-26 19:41:58,468 - mmdet - INFO - Epoch [8][1650/1849] lr: 2.000e-04, eta: 7:32:18, time: 0.343, data_time: 0.009, memory: 4054, loss_contrastive: 3.2927, loss_bbox: 0.6939, loss_iou: 1.0108, d0.loss_bbox: 0.7479, d0.loss_iou: 1.0748, d1.loss_bbox: 0.7198, d1.loss_iou: 1.0427, d2.loss_bbox: 0.7059, d2.loss_iou: 1.0247, d3.loss_bbox: 0.6970, d3.loss_iou: 1.0150, d4.loss_bbox: 0.6937, d4.loss_iou: 1.0107, loss: 13.7294, grad_norm: 14.3297 2022-10-26 19:42:15,778 - mmdet - INFO - Epoch [8][1700/1849] lr: 2.000e-04, eta: 7:32:00, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2847, loss_bbox: 0.6948, loss_iou: 1.0087, d0.loss_bbox: 0.7498, d0.loss_iou: 1.0738, d1.loss_bbox: 0.7208, d1.loss_iou: 1.0408, d2.loss_bbox: 0.7064, d2.loss_iou: 1.0234, d3.loss_bbox: 0.6982, d3.loss_iou: 1.0124, d4.loss_bbox: 0.6945, d4.loss_iou: 1.0084, loss: 13.7166, grad_norm: 12.5722 2022-10-26 19:42:33,073 - mmdet - INFO - Epoch [8][1750/1849] lr: 2.000e-04, eta: 7:31:41, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2790, loss_bbox: 0.6934, loss_iou: 1.0087, d0.loss_bbox: 0.7476, d0.loss_iou: 1.0735, d1.loss_bbox: 0.7203, d1.loss_iou: 1.0435, d2.loss_bbox: 0.7060, d2.loss_iou: 1.0242, d3.loss_bbox: 0.6972, d3.loss_iou: 1.0137, d4.loss_bbox: 0.6931, d4.loss_iou: 1.0086, loss: 13.7088, grad_norm: 13.5888 2022-10-26 19:42:50,244 - mmdet - INFO - Epoch [8][1800/1849] lr: 2.000e-04, eta: 7:31:23, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.2861, loss_bbox: 0.6920, loss_iou: 1.0073, d0.loss_bbox: 0.7452, d0.loss_iou: 1.0706, d1.loss_bbox: 0.7168, d1.loss_iou: 1.0381, d2.loss_bbox: 0.7040, d2.loss_iou: 1.0214, d3.loss_bbox: 0.6951, d3.loss_iou: 1.0115, d4.loss_bbox: 0.6920, d4.loss_iou: 1.0069, loss: 13.6870, grad_norm: 14.0377 2022-10-26 19:43:07,684 - mmdet - INFO - Saving checkpoint at 8 epochs 2022-10-26 19:43:29,399 - mmdet - INFO - Epoch [9][50/1849] lr: 2.000e-04, eta: 7:29:35, time: 0.410, data_time: 0.069, memory: 4054, loss_contrastive: 3.2765, loss_bbox: 0.6928, loss_iou: 1.0127, d0.loss_bbox: 0.7458, d0.loss_iou: 1.0756, d1.loss_bbox: 0.7179, d1.loss_iou: 1.0458, d2.loss_bbox: 0.7041, d2.loss_iou: 1.0268, d3.loss_bbox: 0.6965, d3.loss_iou: 1.0168, d4.loss_bbox: 0.6925, d4.loss_iou: 1.0126, loss: 13.7165, grad_norm: 14.3386 2022-10-26 19:43:46,860 - mmdet - INFO - Epoch [9][100/1849] lr: 2.000e-04, eta: 7:29:18, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2800, loss_bbox: 0.6912, loss_iou: 1.0106, d0.loss_bbox: 0.7445, d0.loss_iou: 1.0722, d1.loss_bbox: 0.7168, d1.loss_iou: 1.0416, d2.loss_bbox: 0.7037, d2.loss_iou: 1.0245, d3.loss_bbox: 0.6949, d3.loss_iou: 1.0144, d4.loss_bbox: 0.6912, d4.loss_iou: 1.0099, loss: 13.6956, grad_norm: 14.2473 2022-10-26 19:44:04,167 - mmdet - INFO - Epoch [9][150/1849] lr: 2.000e-04, eta: 7:29:00, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2785, loss_bbox: 0.6887, loss_iou: 1.0064, d0.loss_bbox: 0.7426, d0.loss_iou: 1.0701, d1.loss_bbox: 0.7140, d1.loss_iou: 1.0392, d2.loss_bbox: 0.7001, d2.loss_iou: 1.0207, d3.loss_bbox: 0.6915, d3.loss_iou: 1.0106, d4.loss_bbox: 0.6883, d4.loss_iou: 1.0060, loss: 13.6568, grad_norm: 12.9355 2022-10-26 19:44:21,779 - mmdet - INFO - Epoch [9][200/1849] lr: 2.000e-04, eta: 7:28:44, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2937, loss_bbox: 0.6898, loss_iou: 1.0063, d0.loss_bbox: 0.7434, d0.loss_iou: 1.0703, d1.loss_bbox: 0.7161, d1.loss_iou: 1.0391, d2.loss_bbox: 0.7020, d2.loss_iou: 1.0210, d3.loss_bbox: 0.6930, d3.loss_iou: 1.0105, d4.loss_bbox: 0.6895, d4.loss_iou: 1.0064, loss: 13.6811, grad_norm: 15.0140 2022-10-26 19:44:39,164 - mmdet - INFO - Epoch [9][250/1849] lr: 2.000e-04, eta: 7:28:27, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2796, loss_bbox: 0.6881, loss_iou: 1.0042, d0.loss_bbox: 0.7429, d0.loss_iou: 1.0690, d1.loss_bbox: 0.7148, d1.loss_iou: 1.0367, d2.loss_bbox: 0.7006, d2.loss_iou: 1.0192, d3.loss_bbox: 0.6917, d3.loss_iou: 1.0092, d4.loss_bbox: 0.6881, d4.loss_iou: 1.0041, loss: 13.6482, grad_norm: 14.1630 2022-10-26 19:44:56,261 - mmdet - INFO - Epoch [9][300/1849] lr: 2.000e-04, eta: 7:28:08, time: 0.342, data_time: 0.009, memory: 4054, loss_contrastive: 3.2861, loss_bbox: 0.6908, loss_iou: 1.0065, d0.loss_bbox: 0.7454, d0.loss_iou: 1.0714, d1.loss_bbox: 0.7166, d1.loss_iou: 1.0389, d2.loss_bbox: 0.7030, d2.loss_iou: 1.0209, d3.loss_bbox: 0.6946, d3.loss_iou: 1.0115, d4.loss_bbox: 0.6908, d4.loss_iou: 1.0063, loss: 13.6828, grad_norm: 12.4880 2022-10-26 19:45:13,424 - mmdet - INFO - Epoch [9][350/1849] lr: 2.000e-04, eta: 7:27:49, time: 0.343, data_time: 0.009, memory: 4054, loss_contrastive: 3.2862, loss_bbox: 0.6961, loss_iou: 1.0106, d0.loss_bbox: 0.7484, d0.loss_iou: 1.0752, d1.loss_bbox: 0.7221, d1.loss_iou: 1.0433, d2.loss_bbox: 0.7084, d2.loss_iou: 1.0249, d3.loss_bbox: 0.6993, d3.loss_iou: 1.0146, d4.loss_bbox: 0.6960, d4.loss_iou: 1.0100, loss: 13.7348, grad_norm: 13.7001 2022-10-26 19:45:30,786 - mmdet - INFO - Epoch [9][400/1849] lr: 2.000e-04, eta: 7:27:32, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2831, loss_bbox: 0.6962, loss_iou: 1.0101, d0.loss_bbox: 0.7481, d0.loss_iou: 1.0718, d1.loss_bbox: 0.7210, d1.loss_iou: 1.0421, d2.loss_bbox: 0.7072, d2.loss_iou: 1.0242, d3.loss_bbox: 0.6988, d3.loss_iou: 1.0137, d4.loss_bbox: 0.6959, d4.loss_iou: 1.0099, loss: 13.7222, grad_norm: 13.2715 2022-10-26 19:45:48,442 - mmdet - INFO - Epoch [9][450/1849] lr: 2.000e-04, eta: 7:27:16, time: 0.353, data_time: 0.009, memory: 4054, loss_contrastive: 3.2788, loss_bbox: 0.6941, loss_iou: 1.0090, d0.loss_bbox: 0.7459, d0.loss_iou: 1.0721, d1.loss_bbox: 0.7193, d1.loss_iou: 1.0416, d2.loss_bbox: 0.7060, d2.loss_iou: 1.0247, d3.loss_bbox: 0.6976, d3.loss_iou: 1.0131, d4.loss_bbox: 0.6942, d4.loss_iou: 1.0090, loss: 13.7053, grad_norm: 13.9722 2022-10-26 19:46:05,885 - mmdet - INFO - Epoch [9][500/1849] lr: 2.000e-04, eta: 7:26:59, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2756, loss_bbox: 0.6905, loss_iou: 1.0064, d0.loss_bbox: 0.7429, d0.loss_iou: 1.0701, d1.loss_bbox: 0.7163, d1.loss_iou: 1.0390, d2.loss_bbox: 0.7017, d2.loss_iou: 1.0204, d3.loss_bbox: 0.6937, d3.loss_iou: 1.0102, d4.loss_bbox: 0.6904, d4.loss_iou: 1.0067, loss: 13.6638, grad_norm: 14.3455 2022-10-26 19:46:23,333 - mmdet - INFO - Epoch [9][550/1849] lr: 2.000e-04, eta: 7:26:42, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2759, loss_bbox: 0.6896, loss_iou: 1.0023, d0.loss_bbox: 0.7430, d0.loss_iou: 1.0658, d1.loss_bbox: 0.7151, d1.loss_iou: 1.0344, d2.loss_bbox: 0.7012, d2.loss_iou: 1.0175, d3.loss_bbox: 0.6928, d3.loss_iou: 1.0071, d4.loss_bbox: 0.6893, d4.loss_iou: 1.0024, loss: 13.6365, grad_norm: 12.0336 2022-10-26 19:46:40,694 - mmdet - INFO - Epoch [9][600/1849] lr: 2.000e-04, eta: 7:26:24, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2763, loss_bbox: 0.6916, loss_iou: 1.0077, d0.loss_bbox: 0.7435, d0.loss_iou: 1.0699, d1.loss_bbox: 0.7175, d1.loss_iou: 1.0396, d2.loss_bbox: 0.7040, d2.loss_iou: 1.0219, d3.loss_bbox: 0.6944, d3.loss_iou: 1.0120, d4.loss_bbox: 0.6914, d4.loss_iou: 1.0074, loss: 13.6772, grad_norm: 14.1032 2022-10-26 19:46:58,286 - mmdet - INFO - Epoch [9][650/1849] lr: 2.000e-04, eta: 7:26:08, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2764, loss_bbox: 0.6902, loss_iou: 1.0044, d0.loss_bbox: 0.7425, d0.loss_iou: 1.0679, d1.loss_bbox: 0.7161, d1.loss_iou: 1.0365, d2.loss_bbox: 0.7027, d2.loss_iou: 1.0193, d3.loss_bbox: 0.6942, d3.loss_iou: 1.0088, d4.loss_bbox: 0.6904, d4.loss_iou: 1.0039, loss: 13.6532, grad_norm: 14.2944 2022-10-26 19:47:15,795 - mmdet - INFO - Epoch [9][700/1849] lr: 2.000e-04, eta: 7:25:51, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2733, loss_bbox: 0.6908, loss_iou: 1.0049, d0.loss_bbox: 0.7432, d0.loss_iou: 1.0684, d1.loss_bbox: 0.7174, d1.loss_iou: 1.0376, d2.loss_bbox: 0.7028, d2.loss_iou: 1.0190, d3.loss_bbox: 0.6944, d3.loss_iou: 1.0083, d4.loss_bbox: 0.6909, d4.loss_iou: 1.0050, loss: 13.6560, grad_norm: 14.8474 2022-10-26 19:47:33,371 - mmdet - INFO - Epoch [9][750/1849] lr: 2.000e-04, eta: 7:25:35, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2752, loss_bbox: 0.6892, loss_iou: 1.0034, d0.loss_bbox: 0.7425, d0.loss_iou: 1.0665, d1.loss_bbox: 0.7155, d1.loss_iou: 1.0371, d2.loss_bbox: 0.7016, d2.loss_iou: 1.0181, d3.loss_bbox: 0.6922, d3.loss_iou: 1.0080, d4.loss_bbox: 0.6889, d4.loss_iou: 1.0033, loss: 13.6415, grad_norm: 12.4195 2022-10-26 19:47:50,672 - mmdet - INFO - Epoch [9][800/1849] lr: 2.000e-04, eta: 7:25:17, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2739, loss_bbox: 0.6944, loss_iou: 1.0106, d0.loss_bbox: 0.7477, d0.loss_iou: 1.0735, d1.loss_bbox: 0.7196, d1.loss_iou: 1.0424, d2.loss_bbox: 0.7059, d2.loss_iou: 1.0248, d3.loss_bbox: 0.6976, d3.loss_iou: 1.0149, d4.loss_bbox: 0.6938, d4.loss_iou: 1.0102, loss: 13.7093, grad_norm: 13.3994 2022-10-26 19:48:08,230 - mmdet - INFO - Epoch [9][850/1849] lr: 2.000e-04, eta: 7:25:00, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2794, loss_bbox: 0.6903, loss_iou: 1.0095, d0.loss_bbox: 0.7422, d0.loss_iou: 1.0708, d1.loss_bbox: 0.7169, d1.loss_iou: 1.0399, d2.loss_bbox: 0.7032, d2.loss_iou: 1.0238, d3.loss_bbox: 0.6945, d3.loss_iou: 1.0136, d4.loss_bbox: 0.6906, d4.loss_iou: 1.0091, loss: 13.6839, grad_norm: 14.6598 2022-10-26 19:48:25,655 - mmdet - INFO - Epoch [9][900/1849] lr: 2.000e-04, eta: 7:24:43, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2703, loss_bbox: 0.6909, loss_iou: 1.0038, d0.loss_bbox: 0.7458, d0.loss_iou: 1.0684, d1.loss_bbox: 0.7176, d1.loss_iou: 1.0375, d2.loss_bbox: 0.7037, d2.loss_iou: 1.0185, d3.loss_bbox: 0.6941, d3.loss_iou: 1.0084, d4.loss_bbox: 0.6908, d4.loss_iou: 1.0036, loss: 13.6534, grad_norm: 13.5350 2022-10-26 19:48:42,888 - mmdet - INFO - Epoch [9][950/1849] lr: 2.000e-04, eta: 7:24:25, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.2711, loss_bbox: 0.6879, loss_iou: 1.0081, d0.loss_bbox: 0.7412, d0.loss_iou: 1.0718, d1.loss_bbox: 0.7143, d1.loss_iou: 1.0415, d2.loss_bbox: 0.7000, d2.loss_iou: 1.0228, d3.loss_bbox: 0.6914, d3.loss_iou: 1.0125, d4.loss_bbox: 0.6875, d4.loss_iou: 1.0079, loss: 13.6579, grad_norm: 13.3319 2022-10-26 19:49:00,588 - mmdet - INFO - Epoch [9][1000/1849] lr: 2.000e-04, eta: 7:24:09, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.2674, loss_bbox: 0.6869, loss_iou: 1.0046, d0.loss_bbox: 0.7400, d0.loss_iou: 1.0679, d1.loss_bbox: 0.7129, d1.loss_iou: 1.0369, d2.loss_bbox: 0.6984, d2.loss_iou: 1.0201, d3.loss_bbox: 0.6900, d3.loss_iou: 1.0092, d4.loss_bbox: 0.6867, d4.loss_iou: 1.0048, loss: 13.6258, grad_norm: 14.9154 2022-10-26 19:49:17,969 - mmdet - INFO - Epoch [9][1050/1849] lr: 2.000e-04, eta: 7:23:52, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2668, loss_bbox: 0.6896, loss_iou: 1.0054, d0.loss_bbox: 0.7422, d0.loss_iou: 1.0685, d1.loss_bbox: 0.7158, d1.loss_iou: 1.0377, d2.loss_bbox: 0.7024, d2.loss_iou: 1.0196, d3.loss_bbox: 0.6932, d3.loss_iou: 1.0093, d4.loss_bbox: 0.6898, d4.loss_iou: 1.0050, loss: 13.6454, grad_norm: 14.3246 2022-10-26 19:49:35,397 - mmdet - INFO - Epoch [9][1100/1849] lr: 2.000e-04, eta: 7:23:35, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2764, loss_bbox: 0.6893, loss_iou: 1.0037, d0.loss_bbox: 0.7424, d0.loss_iou: 1.0674, d1.loss_bbox: 0.7164, d1.loss_iou: 1.0379, d2.loss_bbox: 0.7026, d2.loss_iou: 1.0192, d3.loss_bbox: 0.6931, d3.loss_iou: 1.0081, d4.loss_bbox: 0.6892, d4.loss_iou: 1.0036, loss: 13.6494, grad_norm: 12.7249 2022-10-26 19:49:52,556 - mmdet - INFO - Epoch [9][1150/1849] lr: 2.000e-04, eta: 7:23:16, time: 0.343, data_time: 0.009, memory: 4054, loss_contrastive: 3.2634, loss_bbox: 0.6874, loss_iou: 1.0017, d0.loss_bbox: 0.7404, d0.loss_iou: 1.0646, d1.loss_bbox: 0.7124, d1.loss_iou: 1.0342, d2.loss_bbox: 0.6988, d2.loss_iou: 1.0166, d3.loss_bbox: 0.6911, d3.loss_iou: 1.0059, d4.loss_bbox: 0.6876, d4.loss_iou: 1.0018, loss: 13.6058, grad_norm: 13.5838 2022-10-26 19:50:10,012 - mmdet - INFO - Epoch [9][1200/1849] lr: 2.000e-04, eta: 7:22:59, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2644, loss_bbox: 0.6895, loss_iou: 1.0061, d0.loss_bbox: 0.7418, d0.loss_iou: 1.0688, d1.loss_bbox: 0.7150, d1.loss_iou: 1.0387, d2.loss_bbox: 0.7021, d2.loss_iou: 1.0209, d3.loss_bbox: 0.6927, d3.loss_iou: 1.0107, d4.loss_bbox: 0.6894, d4.loss_iou: 1.0057, loss: 13.6457, grad_norm: 12.9816 2022-10-26 19:50:27,493 - mmdet - INFO - Epoch [9][1250/1849] lr: 2.000e-04, eta: 7:22:42, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2742, loss_bbox: 0.6896, loss_iou: 1.0067, d0.loss_bbox: 0.7403, d0.loss_iou: 1.0699, d1.loss_bbox: 0.7146, d1.loss_iou: 1.0394, d2.loss_bbox: 0.7020, d2.loss_iou: 1.0213, d3.loss_bbox: 0.6930, d3.loss_iou: 1.0113, d4.loss_bbox: 0.6895, d4.loss_iou: 1.0069, loss: 13.6588, grad_norm: 14.7683 2022-10-26 19:50:44,793 - mmdet - INFO - Epoch [9][1300/1849] lr: 2.000e-04, eta: 7:22:25, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2703, loss_bbox: 0.6880, loss_iou: 1.0092, d0.loss_bbox: 0.7420, d0.loss_iou: 1.0718, d1.loss_bbox: 0.7153, d1.loss_iou: 1.0414, d2.loss_bbox: 0.7016, d2.loss_iou: 1.0232, d3.loss_bbox: 0.6918, d3.loss_iou: 1.0132, d4.loss_bbox: 0.6882, d4.loss_iou: 1.0086, loss: 13.6646, grad_norm: 12.3311 2022-10-26 19:51:02,195 - mmdet - INFO - Epoch [9][1350/1849] lr: 2.000e-04, eta: 7:22:07, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2626, loss_bbox: 0.6928, loss_iou: 1.0053, d0.loss_bbox: 0.7437, d0.loss_iou: 1.0671, d1.loss_bbox: 0.7189, d1.loss_iou: 1.0373, d2.loss_bbox: 0.7053, d2.loss_iou: 1.0194, d3.loss_bbox: 0.6965, d3.loss_iou: 1.0092, d4.loss_bbox: 0.6929, d4.loss_iou: 1.0051, loss: 13.6560, grad_norm: 15.2310 2022-10-26 19:51:19,738 - mmdet - INFO - Epoch [9][1400/1849] lr: 2.000e-04, eta: 7:21:51, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2735, loss_bbox: 0.6856, loss_iou: 1.0010, d0.loss_bbox: 0.7391, d0.loss_iou: 1.0647, d1.loss_bbox: 0.7115, d1.loss_iou: 1.0346, d2.loss_bbox: 0.6976, d2.loss_iou: 1.0159, d3.loss_bbox: 0.6892, d3.loss_iou: 1.0053, d4.loss_bbox: 0.6857, d4.loss_iou: 1.0009, loss: 13.6046, grad_norm: 13.1960 2022-10-26 19:51:37,037 - mmdet - INFO - Epoch [9][1450/1849] lr: 2.000e-04, eta: 7:21:33, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2676, loss_bbox: 0.6889, loss_iou: 1.0044, d0.loss_bbox: 0.7426, d0.loss_iou: 1.0693, d1.loss_bbox: 0.7140, d1.loss_iou: 1.0371, d2.loss_bbox: 0.7010, d2.loss_iou: 1.0187, d3.loss_bbox: 0.6922, d3.loss_iou: 1.0088, d4.loss_bbox: 0.6888, d4.loss_iou: 1.0042, loss: 13.6375, grad_norm: 11.9863 2022-10-26 19:51:54,445 - mmdet - INFO - Epoch [9][1500/1849] lr: 2.000e-04, eta: 7:21:16, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2632, loss_bbox: 0.6847, loss_iou: 1.0024, d0.loss_bbox: 0.7388, d0.loss_iou: 1.0664, d1.loss_bbox: 0.7113, d1.loss_iou: 1.0348, d2.loss_bbox: 0.6976, d2.loss_iou: 1.0165, d3.loss_bbox: 0.6886, d3.loss_iou: 1.0062, d4.loss_bbox: 0.6848, d4.loss_iou: 1.0021, loss: 13.5974, grad_norm: 12.5821 2022-10-26 19:52:11,799 - mmdet - INFO - Epoch [9][1550/1849] lr: 2.000e-04, eta: 7:20:58, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2637, loss_bbox: 0.6866, loss_iou: 1.0034, d0.loss_bbox: 0.7394, d0.loss_iou: 1.0663, d1.loss_bbox: 0.7134, d1.loss_iou: 1.0371, d2.loss_bbox: 0.6997, d2.loss_iou: 1.0191, d3.loss_bbox: 0.6904, d3.loss_iou: 1.0076, d4.loss_bbox: 0.6863, d4.loss_iou: 1.0034, loss: 13.6165, grad_norm: 15.8805 2022-10-26 19:52:29,838 - mmdet - INFO - Epoch [9][1600/1849] lr: 2.000e-04, eta: 7:20:44, time: 0.361, data_time: 0.009, memory: 4054, loss_contrastive: 3.2646, loss_bbox: 0.6878, loss_iou: 1.0043, d0.loss_bbox: 0.7408, d0.loss_iou: 1.0685, d1.loss_bbox: 0.7138, d1.loss_iou: 1.0369, d2.loss_bbox: 0.7006, d2.loss_iou: 1.0193, d3.loss_bbox: 0.6917, d3.loss_iou: 1.0085, d4.loss_bbox: 0.6876, d4.loss_iou: 1.0042, loss: 13.6287, grad_norm: 10.9246 2022-10-26 19:52:47,060 - mmdet - INFO - Epoch [9][1650/1849] lr: 2.000e-04, eta: 7:20:26, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.2650, loss_bbox: 0.6899, loss_iou: 1.0058, d0.loss_bbox: 0.7433, d0.loss_iou: 1.0677, d1.loss_bbox: 0.7171, d1.loss_iou: 1.0372, d2.loss_bbox: 0.7027, d2.loss_iou: 1.0206, d3.loss_bbox: 0.6937, d3.loss_iou: 1.0099, d4.loss_bbox: 0.6900, d4.loss_iou: 1.0054, loss: 13.6481, grad_norm: 12.1643 2022-10-26 19:53:04,255 - mmdet - INFO - Epoch [9][1700/1849] lr: 2.000e-04, eta: 7:20:07, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.2641, loss_bbox: 0.6891, loss_iou: 1.0064, d0.loss_bbox: 0.7421, d0.loss_iou: 1.0688, d1.loss_bbox: 0.7157, d1.loss_iou: 1.0399, d2.loss_bbox: 0.7023, d2.loss_iou: 1.0211, d3.loss_bbox: 0.6929, d3.loss_iou: 1.0111, d4.loss_bbox: 0.6891, d4.loss_iou: 1.0062, loss: 13.6487, grad_norm: 13.7636 2022-10-26 19:53:21,552 - mmdet - INFO - Epoch [9][1750/1849] lr: 2.000e-04, eta: 7:19:50, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2615, loss_bbox: 0.6874, loss_iou: 1.0038, d0.loss_bbox: 0.7388, d0.loss_iou: 1.0658, d1.loss_bbox: 0.7125, d1.loss_iou: 1.0355, d2.loss_bbox: 0.6995, d2.loss_iou: 1.0176, d3.loss_bbox: 0.6910, d3.loss_iou: 1.0075, d4.loss_bbox: 0.6872, d4.loss_iou: 1.0036, loss: 13.6116, grad_norm: 14.7218 2022-10-26 19:53:38,851 - mmdet - INFO - Epoch [9][1800/1849] lr: 2.000e-04, eta: 7:19:32, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2562, loss_bbox: 0.6866, loss_iou: 1.0003, d0.loss_bbox: 0.7391, d0.loss_iou: 1.0637, d1.loss_bbox: 0.7125, d1.loss_iou: 1.0333, d2.loss_bbox: 0.6987, d2.loss_iou: 1.0158, d3.loss_bbox: 0.6903, d3.loss_iou: 1.0047, d4.loss_bbox: 0.6866, d4.loss_iou: 1.0002, loss: 13.5878, grad_norm: 15.1765 2022-10-26 19:53:55,908 - mmdet - INFO - Saving checkpoint at 9 epochs 2022-10-26 19:54:17,972 - mmdet - INFO - Epoch [10][50/1849] lr: 2.000e-04, eta: 7:17:56, time: 0.416, data_time: 0.069, memory: 4054, loss_contrastive: 3.2563, loss_bbox: 0.6846, loss_iou: 1.0009, d0.loss_bbox: 0.7379, d0.loss_iou: 1.0649, d1.loss_bbox: 0.7116, d1.loss_iou: 1.0344, d2.loss_bbox: 0.6975, d2.loss_iou: 1.0168, d3.loss_bbox: 0.6885, d3.loss_iou: 1.0056, d4.loss_bbox: 0.6846, d4.loss_iou: 1.0008, loss: 13.5846, grad_norm: 15.3214 2022-10-26 19:54:35,565 - mmdet - INFO - Epoch [10][100/1849] lr: 2.000e-04, eta: 7:17:39, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2592, loss_bbox: 0.6907, loss_iou: 1.0038, d0.loss_bbox: 0.7422, d0.loss_iou: 1.0653, d1.loss_bbox: 0.7173, d1.loss_iou: 1.0362, d2.loss_bbox: 0.7035, d2.loss_iou: 1.0183, d3.loss_bbox: 0.6948, d3.loss_iou: 1.0077, d4.loss_bbox: 0.6909, d4.loss_iou: 1.0033, loss: 13.6332, grad_norm: 13.3398 2022-10-26 19:54:53,121 - mmdet - INFO - Epoch [10][150/1849] lr: 2.000e-04, eta: 7:17:23, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2614, loss_bbox: 0.6871, loss_iou: 1.0028, d0.loss_bbox: 0.7396, d0.loss_iou: 1.0653, d1.loss_bbox: 0.7134, d1.loss_iou: 1.0359, d2.loss_bbox: 0.6995, d2.loss_iou: 1.0181, d3.loss_bbox: 0.6903, d3.loss_iou: 1.0074, d4.loss_bbox: 0.6874, d4.loss_iou: 1.0026, loss: 13.6109, grad_norm: 13.8331 2022-10-26 19:55:10,747 - mmdet - INFO - Epoch [10][200/1849] lr: 2.000e-04, eta: 7:17:07, time: 0.353, data_time: 0.009, memory: 4054, loss_contrastive: 3.2586, loss_bbox: 0.6890, loss_iou: 1.0014, d0.loss_bbox: 0.7402, d0.loss_iou: 1.0636, d1.loss_bbox: 0.7147, d1.loss_iou: 1.0335, d2.loss_bbox: 0.7010, d2.loss_iou: 1.0161, d3.loss_bbox: 0.6920, d3.loss_iou: 1.0052, d4.loss_bbox: 0.6889, d4.loss_iou: 1.0011, loss: 13.6053, grad_norm: 13.1408 2022-10-26 19:55:28,286 - mmdet - INFO - Epoch [10][250/1849] lr: 2.000e-04, eta: 7:16:50, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2602, loss_bbox: 0.6849, loss_iou: 0.9997, d0.loss_bbox: 0.7395, d0.loss_iou: 1.0657, d1.loss_bbox: 0.7123, d1.loss_iou: 1.0334, d2.loss_bbox: 0.6987, d2.loss_iou: 1.0157, d3.loss_bbox: 0.6891, d3.loss_iou: 1.0041, d4.loss_bbox: 0.6849, d4.loss_iou: 1.0000, loss: 13.5880, grad_norm: 15.3907 2022-10-26 19:55:45,882 - mmdet - INFO - Epoch [10][300/1849] lr: 2.000e-04, eta: 7:16:34, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2570, loss_bbox: 0.6807, loss_iou: 0.9943, d0.loss_bbox: 0.7328, d0.loss_iou: 1.0576, d1.loss_bbox: 0.7072, d1.loss_iou: 1.0282, d2.loss_bbox: 0.6936, d2.loss_iou: 1.0095, d3.loss_bbox: 0.6849, d3.loss_iou: 0.9983, d4.loss_bbox: 0.6806, d4.loss_iou: 0.9941, loss: 13.5188, grad_norm: 15.1882 2022-10-26 19:56:03,404 - mmdet - INFO - Epoch [10][350/1849] lr: 2.000e-04, eta: 7:16:18, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2580, loss_bbox: 0.6893, loss_iou: 1.0034, d0.loss_bbox: 0.7415, d0.loss_iou: 1.0661, d1.loss_bbox: 0.7153, d1.loss_iou: 1.0371, d2.loss_bbox: 0.7015, d2.loss_iou: 1.0186, d3.loss_bbox: 0.6933, d3.loss_iou: 1.0087, d4.loss_bbox: 0.6893, d4.loss_iou: 1.0037, loss: 13.6257, grad_norm: 13.8763 2022-10-26 19:56:21,173 - mmdet - INFO - Epoch [10][400/1849] lr: 2.000e-04, eta: 7:16:02, time: 0.355, data_time: 0.009, memory: 4054, loss_contrastive: 3.2563, loss_bbox: 0.6873, loss_iou: 1.0016, d0.loss_bbox: 0.7411, d0.loss_iou: 1.0659, d1.loss_bbox: 0.7137, d1.loss_iou: 1.0336, d2.loss_bbox: 0.6999, d2.loss_iou: 1.0152, d3.loss_bbox: 0.6910, d3.loss_iou: 1.0058, d4.loss_bbox: 0.6870, d4.loss_iou: 1.0013, loss: 13.5997, grad_norm: 13.4416 2022-10-26 19:56:38,824 - mmdet - INFO - Epoch [10][450/1849] lr: 2.000e-04, eta: 7:15:46, time: 0.353, data_time: 0.009, memory: 4054, loss_contrastive: 3.2535, loss_bbox: 0.6846, loss_iou: 1.0020, d0.loss_bbox: 0.7373, d0.loss_iou: 1.0664, d1.loss_bbox: 0.7104, d1.loss_iou: 1.0351, d2.loss_bbox: 0.6968, d2.loss_iou: 1.0175, d3.loss_bbox: 0.6886, d3.loss_iou: 1.0069, d4.loss_bbox: 0.6847, d4.loss_iou: 1.0020, loss: 13.5859, grad_norm: 14.5628 2022-10-26 19:56:56,227 - mmdet - INFO - Epoch [10][500/1849] lr: 2.000e-04, eta: 7:15:29, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2637, loss_bbox: 0.6862, loss_iou: 1.0024, d0.loss_bbox: 0.7391, d0.loss_iou: 1.0659, d1.loss_bbox: 0.7128, d1.loss_iou: 1.0356, d2.loss_bbox: 0.6991, d2.loss_iou: 1.0181, d3.loss_bbox: 0.6897, d3.loss_iou: 1.0072, d4.loss_bbox: 0.6861, d4.loss_iou: 1.0025, loss: 13.6083, grad_norm: 14.0447 2022-10-26 19:57:13,708 - mmdet - INFO - Epoch [10][550/1849] lr: 2.000e-04, eta: 7:15:12, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2736, loss_bbox: 0.6913, loss_iou: 1.0052, d0.loss_bbox: 0.7435, d0.loss_iou: 1.0682, d1.loss_bbox: 0.7173, d1.loss_iou: 1.0371, d2.loss_bbox: 0.7038, d2.loss_iou: 1.0196, d3.loss_bbox: 0.6944, d3.loss_iou: 1.0098, d4.loss_bbox: 0.6911, d4.loss_iou: 1.0054, loss: 13.6603, grad_norm: 14.3660 2022-10-26 19:57:31,134 - mmdet - INFO - Epoch [10][600/1849] lr: 2.000e-04, eta: 7:14:55, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2552, loss_bbox: 0.6864, loss_iou: 1.0055, d0.loss_bbox: 0.7391, d0.loss_iou: 1.0682, d1.loss_bbox: 0.7128, d1.loss_iou: 1.0385, d2.loss_bbox: 0.6994, d2.loss_iou: 1.0209, d3.loss_bbox: 0.6897, d3.loss_iou: 1.0099, d4.loss_bbox: 0.6863, d4.loss_iou: 1.0052, loss: 13.6171, grad_norm: 14.7141 2022-10-26 19:57:48,604 - mmdet - INFO - Epoch [10][650/1849] lr: 2.000e-04, eta: 7:14:38, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2471, loss_bbox: 0.6810, loss_iou: 0.9963, d0.loss_bbox: 0.7332, d0.loss_iou: 1.0601, d1.loss_bbox: 0.7074, d1.loss_iou: 1.0304, d2.loss_bbox: 0.6947, d2.loss_iou: 1.0120, d3.loss_bbox: 0.6851, d3.loss_iou: 1.0006, d4.loss_bbox: 0.6812, d4.loss_iou: 0.9962, loss: 13.5253, grad_norm: 12.6484 2022-10-26 19:58:06,061 - mmdet - INFO - Epoch [10][700/1849] lr: 2.000e-04, eta: 7:14:22, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2540, loss_bbox: 0.6858, loss_iou: 0.9984, d0.loss_bbox: 0.7399, d0.loss_iou: 1.0624, d1.loss_bbox: 0.7132, d1.loss_iou: 1.0328, d2.loss_bbox: 0.6988, d2.loss_iou: 1.0137, d3.loss_bbox: 0.6890, d3.loss_iou: 1.0030, d4.loss_bbox: 0.6861, d4.loss_iou: 0.9983, loss: 13.5753, grad_norm: 13.0888 2022-10-26 19:58:23,372 - mmdet - INFO - Epoch [10][750/1849] lr: 2.000e-04, eta: 7:14:04, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2610, loss_bbox: 0.6870, loss_iou: 1.0002, d0.loss_bbox: 0.7390, d0.loss_iou: 1.0625, d1.loss_bbox: 0.7125, d1.loss_iou: 1.0330, d2.loss_bbox: 0.6989, d2.loss_iou: 1.0160, d3.loss_bbox: 0.6906, d3.loss_iou: 1.0046, d4.loss_bbox: 0.6870, d4.loss_iou: 1.0004, loss: 13.5928, grad_norm: 15.9505 2022-10-26 19:58:40,864 - mmdet - INFO - Epoch [10][800/1849] lr: 2.000e-04, eta: 7:13:47, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2502, loss_bbox: 0.6827, loss_iou: 0.9981, d0.loss_bbox: 0.7366, d0.loss_iou: 1.0620, d1.loss_bbox: 0.7097, d1.loss_iou: 1.0318, d2.loss_bbox: 0.6962, d2.loss_iou: 1.0134, d3.loss_bbox: 0.6868, d3.loss_iou: 1.0025, d4.loss_bbox: 0.6828, d4.loss_iou: 0.9977, loss: 13.5505, grad_norm: 13.3729 2022-10-26 19:58:58,138 - mmdet - INFO - Epoch [10][850/1849] lr: 2.000e-04, eta: 7:13:30, time: 0.345, data_time: 0.008, memory: 4054, loss_contrastive: 3.2576, loss_bbox: 0.6874, loss_iou: 1.0033, d0.loss_bbox: 0.7408, d0.loss_iou: 1.0672, d1.loss_bbox: 0.7132, d1.loss_iou: 1.0368, d2.loss_bbox: 0.6995, d2.loss_iou: 1.0177, d3.loss_bbox: 0.6907, d3.loss_iou: 1.0078, d4.loss_bbox: 0.6873, d4.loss_iou: 1.0033, loss: 13.6124, grad_norm: 16.1769 2022-10-26 19:59:15,535 - mmdet - INFO - Epoch [10][900/1849] lr: 2.000e-04, eta: 7:13:13, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2564, loss_bbox: 0.6847, loss_iou: 1.0036, d0.loss_bbox: 0.7362, d0.loss_iou: 1.0678, d1.loss_bbox: 0.7110, d1.loss_iou: 1.0372, d2.loss_bbox: 0.6970, d2.loss_iou: 1.0190, d3.loss_bbox: 0.6881, d3.loss_iou: 1.0084, d4.loss_bbox: 0.6843, d4.loss_iou: 1.0033, loss: 13.5970, grad_norm: 11.4427 2022-10-26 19:59:33,157 - mmdet - INFO - Epoch [10][950/1849] lr: 2.000e-04, eta: 7:12:56, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2609, loss_bbox: 0.6835, loss_iou: 0.9979, d0.loss_bbox: 0.7358, d0.loss_iou: 1.0610, d1.loss_bbox: 0.7101, d1.loss_iou: 1.0311, d2.loss_bbox: 0.6963, d2.loss_iou: 1.0134, d3.loss_bbox: 0.6872, d3.loss_iou: 1.0029, d4.loss_bbox: 0.6835, d4.loss_iou: 0.9982, loss: 13.5617, grad_norm: 14.5529 2022-10-26 19:59:50,492 - mmdet - INFO - Epoch [10][1000/1849] lr: 2.000e-04, eta: 7:12:39, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2548, loss_bbox: 0.6851, loss_iou: 0.9999, d0.loss_bbox: 0.7380, d0.loss_iou: 1.0625, d1.loss_bbox: 0.7117, d1.loss_iou: 1.0322, d2.loss_bbox: 0.6983, d2.loss_iou: 1.0145, d3.loss_bbox: 0.6891, d3.loss_iou: 1.0037, d4.loss_bbox: 0.6852, d4.loss_iou: 0.9995, loss: 13.5745, grad_norm: 12.8533 2022-10-26 20:00:07,829 - mmdet - INFO - Epoch [10][1050/1849] lr: 2.000e-04, eta: 7:12:22, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2577, loss_bbox: 0.6861, loss_iou: 1.0007, d0.loss_bbox: 0.7398, d0.loss_iou: 1.0649, d1.loss_bbox: 0.7128, d1.loss_iou: 1.0340, d2.loss_bbox: 0.6986, d2.loss_iou: 1.0154, d3.loss_bbox: 0.6897, d3.loss_iou: 1.0046, d4.loss_bbox: 0.6861, d4.loss_iou: 1.0005, loss: 13.5909, grad_norm: 12.4885 2022-10-26 20:00:25,185 - mmdet - INFO - Epoch [10][1100/1849] lr: 2.000e-04, eta: 7:12:04, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2534, loss_bbox: 0.6852, loss_iou: 1.0024, d0.loss_bbox: 0.7375, d0.loss_iou: 1.0646, d1.loss_bbox: 0.7114, d1.loss_iou: 1.0347, d2.loss_bbox: 0.6977, d2.loss_iou: 1.0168, d3.loss_bbox: 0.6888, d3.loss_iou: 1.0066, d4.loss_bbox: 0.6852, d4.loss_iou: 1.0022, loss: 13.5866, grad_norm: 14.0608 2022-10-26 20:00:42,501 - mmdet - INFO - Epoch [10][1150/1849] lr: 2.000e-04, eta: 7:11:47, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2528, loss_bbox: 0.6865, loss_iou: 0.9979, d0.loss_bbox: 0.7404, d0.loss_iou: 1.0613, d1.loss_bbox: 0.7132, d1.loss_iou: 1.0324, d2.loss_bbox: 0.6990, d2.loss_iou: 1.0137, d3.loss_bbox: 0.6904, d3.loss_iou: 1.0026, d4.loss_bbox: 0.6867, d4.loss_iou: 0.9975, loss: 13.5744, grad_norm: 15.1951 2022-10-26 20:00:59,829 - mmdet - INFO - Epoch [10][1200/1849] lr: 2.000e-04, eta: 7:11:29, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2581, loss_bbox: 0.6849, loss_iou: 0.9998, d0.loss_bbox: 0.7368, d0.loss_iou: 1.0634, d1.loss_bbox: 0.7111, d1.loss_iou: 1.0333, d2.loss_bbox: 0.6979, d2.loss_iou: 1.0155, d3.loss_bbox: 0.6885, d3.loss_iou: 1.0043, d4.loss_bbox: 0.6849, d4.loss_iou: 0.9997, loss: 13.5784, grad_norm: 12.1015 2022-10-26 20:01:17,353 - mmdet - INFO - Epoch [10][1250/1849] lr: 2.000e-04, eta: 7:11:13, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2529, loss_bbox: 0.6828, loss_iou: 0.9995, d0.loss_bbox: 0.7367, d0.loss_iou: 1.0646, d1.loss_bbox: 0.7095, d1.loss_iou: 1.0321, d2.loss_bbox: 0.6952, d2.loss_iou: 1.0147, d3.loss_bbox: 0.6862, d3.loss_iou: 1.0045, d4.loss_bbox: 0.6827, d4.loss_iou: 0.9995, loss: 13.5610, grad_norm: 15.2424 2022-10-26 20:01:34,855 - mmdet - INFO - Epoch [10][1300/1849] lr: 2.000e-04, eta: 7:10:56, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2512, loss_bbox: 0.6856, loss_iou: 0.9963, d0.loss_bbox: 0.7390, d0.loss_iou: 1.0607, d1.loss_bbox: 0.7119, d1.loss_iou: 1.0296, d2.loss_bbox: 0.6985, d2.loss_iou: 1.0115, d3.loss_bbox: 0.6892, d3.loss_iou: 1.0009, d4.loss_bbox: 0.6855, d4.loss_iou: 0.9962, loss: 13.5560, grad_norm: 13.5923 2022-10-26 20:01:52,422 - mmdet - INFO - Epoch [10][1350/1849] lr: 2.000e-04, eta: 7:10:39, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2556, loss_bbox: 0.6848, loss_iou: 1.0011, d0.loss_bbox: 0.7396, d0.loss_iou: 1.0662, d1.loss_bbox: 0.7125, d1.loss_iou: 1.0344, d2.loss_bbox: 0.6980, d2.loss_iou: 1.0173, d3.loss_bbox: 0.6885, d3.loss_iou: 1.0056, d4.loss_bbox: 0.6848, d4.loss_iou: 1.0012, loss: 13.5895, grad_norm: 15.1430 2022-10-26 20:02:10,011 - mmdet - INFO - Epoch [10][1400/1849] lr: 2.000e-04, eta: 7:10:23, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2525, loss_bbox: 0.6821, loss_iou: 0.9951, d0.loss_bbox: 0.7363, d0.loss_iou: 1.0618, d1.loss_bbox: 0.7093, d1.loss_iou: 1.0303, d2.loss_bbox: 0.6955, d2.loss_iou: 1.0107, d3.loss_bbox: 0.6857, d3.loss_iou: 1.0001, d4.loss_bbox: 0.6821, d4.loss_iou: 0.9952, loss: 13.5367, grad_norm: 13.7322 2022-10-26 20:02:27,511 - mmdet - INFO - Epoch [10][1450/1849] lr: 2.000e-04, eta: 7:10:06, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2514, loss_bbox: 0.6840, loss_iou: 0.9979, d0.loss_bbox: 0.7388, d0.loss_iou: 1.0630, d1.loss_bbox: 0.7110, d1.loss_iou: 1.0324, d2.loss_bbox: 0.6968, d2.loss_iou: 1.0136, d3.loss_bbox: 0.6874, d3.loss_iou: 1.0026, d4.loss_bbox: 0.6838, d4.loss_iou: 0.9979, loss: 13.5606, grad_norm: 14.6555 2022-10-26 20:02:44,672 - mmdet - INFO - Epoch [10][1500/1849] lr: 2.000e-04, eta: 7:09:48, time: 0.343, data_time: 0.009, memory: 4054, loss_contrastive: 3.2491, loss_bbox: 0.6841, loss_iou: 0.9971, d0.loss_bbox: 0.7385, d0.loss_iou: 1.0624, d1.loss_bbox: 0.7108, d1.loss_iou: 1.0313, d2.loss_bbox: 0.6970, d2.loss_iou: 1.0125, d3.loss_bbox: 0.6875, d3.loss_iou: 1.0018, d4.loss_bbox: 0.6841, d4.loss_iou: 0.9969, loss: 13.5531, grad_norm: 14.6506 2022-10-26 20:03:02,148 - mmdet - INFO - Epoch [10][1550/1849] lr: 2.000e-04, eta: 7:09:31, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2488, loss_bbox: 0.6850, loss_iou: 0.9992, d0.loss_bbox: 0.7377, d0.loss_iou: 1.0624, d1.loss_bbox: 0.7122, d1.loss_iou: 1.0320, d2.loss_bbox: 0.6983, d2.loss_iou: 1.0145, d3.loss_bbox: 0.6889, d3.loss_iou: 1.0032, d4.loss_bbox: 0.6855, d4.loss_iou: 0.9985, loss: 13.5662, grad_norm: 13.1552 2022-10-26 20:03:19,440 - mmdet - INFO - Epoch [10][1600/1849] lr: 2.000e-04, eta: 7:09:14, time: 0.346, data_time: 0.008, memory: 4054, loss_contrastive: 3.2495, loss_bbox: 0.6893, loss_iou: 1.0058, d0.loss_bbox: 0.7420, d0.loss_iou: 1.0697, d1.loss_bbox: 0.7150, d1.loss_iou: 1.0383, d2.loss_bbox: 0.7018, d2.loss_iou: 1.0205, d3.loss_bbox: 0.6932, d3.loss_iou: 1.0103, d4.loss_bbox: 0.6890, d4.loss_iou: 1.0057, loss: 13.6302, grad_norm: 13.1077 2022-10-26 20:03:37,173 - mmdet - INFO - Epoch [10][1650/1849] lr: 2.000e-04, eta: 7:08:58, time: 0.355, data_time: 0.008, memory: 4054, loss_contrastive: 3.2497, loss_bbox: 0.6850, loss_iou: 1.0014, d0.loss_bbox: 0.7386, d0.loss_iou: 1.0638, d1.loss_bbox: 0.7116, d1.loss_iou: 1.0338, d2.loss_bbox: 0.6979, d2.loss_iou: 1.0160, d3.loss_bbox: 0.6886, d3.loss_iou: 1.0059, d4.loss_bbox: 0.6851, d4.loss_iou: 1.0015, loss: 13.5787, grad_norm: 13.0884 2022-10-26 20:03:54,383 - mmdet - INFO - Epoch [10][1700/1849] lr: 2.000e-04, eta: 7:08:40, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.2500, loss_bbox: 0.6853, loss_iou: 1.0036, d0.loss_bbox: 0.7388, d0.loss_iou: 1.0674, d1.loss_bbox: 0.7131, d1.loss_iou: 1.0369, d2.loss_bbox: 0.6993, d2.loss_iou: 1.0193, d3.loss_bbox: 0.6896, d3.loss_iou: 1.0084, d4.loss_bbox: 0.6853, d4.loss_iou: 1.0037, loss: 13.6007, grad_norm: 13.2392 2022-10-26 20:04:11,823 - mmdet - INFO - Epoch [10][1750/1849] lr: 2.000e-04, eta: 7:08:23, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2457, loss_bbox: 0.6840, loss_iou: 0.9991, d0.loss_bbox: 0.7358, d0.loss_iou: 1.0619, d1.loss_bbox: 0.7105, d1.loss_iou: 1.0330, d2.loss_bbox: 0.6966, d2.loss_iou: 1.0147, d3.loss_bbox: 0.6876, d3.loss_iou: 1.0034, d4.loss_bbox: 0.6842, d4.loss_iou: 0.9990, loss: 13.5554, grad_norm: 13.7460 2022-10-26 20:04:29,266 - mmdet - INFO - Epoch [10][1800/1849] lr: 2.000e-04, eta: 7:08:06, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2542, loss_bbox: 0.6828, loss_iou: 0.9965, d0.loss_bbox: 0.7365, d0.loss_iou: 1.0626, d1.loss_bbox: 0.7101, d1.loss_iou: 1.0315, d2.loss_bbox: 0.6955, d2.loss_iou: 1.0120, d3.loss_bbox: 0.6863, d3.loss_iou: 1.0012, d4.loss_bbox: 0.6829, d4.loss_iou: 0.9964, loss: 13.5484, grad_norm: 13.4165 2022-10-26 20:04:46,333 - mmdet - INFO - Saving checkpoint at 10 epochs 2022-10-26 20:05:08,376 - mmdet - INFO - Epoch [11][50/1849] lr: 2.000e-04, eta: 7:06:37, time: 0.413, data_time: 0.069, memory: 4054, loss_contrastive: 3.2411, loss_bbox: 0.6816, loss_iou: 0.9998, d0.loss_bbox: 0.7355, d0.loss_iou: 1.0639, d1.loss_bbox: 0.7090, d1.loss_iou: 1.0331, d2.loss_bbox: 0.6954, d2.loss_iou: 1.0147, d3.loss_bbox: 0.6855, d3.loss_iou: 1.0041, d4.loss_bbox: 0.6814, d4.loss_iou: 0.9995, loss: 13.5446, grad_norm: 15.5115 2022-10-26 20:05:26,434 - mmdet - INFO - Epoch [11][100/1849] lr: 2.000e-04, eta: 7:06:23, time: 0.361, data_time: 0.008, memory: 4054, loss_contrastive: 3.2405, loss_bbox: 0.6837, loss_iou: 0.9932, d0.loss_bbox: 0.7380, d0.loss_iou: 1.0584, d1.loss_bbox: 0.7099, d1.loss_iou: 1.0259, d2.loss_bbox: 0.6968, d2.loss_iou: 1.0096, d3.loss_bbox: 0.6874, d3.loss_iou: 0.9980, d4.loss_bbox: 0.6840, d4.loss_iou: 0.9933, loss: 13.5189, grad_norm: 12.3159 2022-10-26 20:05:44,091 - mmdet - INFO - Epoch [11][150/1849] lr: 2.000e-04, eta: 7:06:07, time: 0.353, data_time: 0.008, memory: 4054, loss_contrastive: 3.2528, loss_bbox: 0.6826, loss_iou: 0.9969, d0.loss_bbox: 0.7367, d0.loss_iou: 1.0625, d1.loss_bbox: 0.7102, d1.loss_iou: 1.0305, d2.loss_bbox: 0.6962, d2.loss_iou: 1.0116, d3.loss_bbox: 0.6870, d3.loss_iou: 1.0008, d4.loss_bbox: 0.6829, d4.loss_iou: 0.9968, loss: 13.5474, grad_norm: 15.3143 2022-10-26 20:06:01,760 - mmdet - INFO - Epoch [11][200/1849] lr: 2.000e-04, eta: 7:05:51, time: 0.353, data_time: 0.008, memory: 4054, loss_contrastive: 3.2435, loss_bbox: 0.6841, loss_iou: 0.9980, d0.loss_bbox: 0.7389, d0.loss_iou: 1.0634, d1.loss_bbox: 0.7119, d1.loss_iou: 1.0315, d2.loss_bbox: 0.6975, d2.loss_iou: 1.0140, d3.loss_bbox: 0.6885, d3.loss_iou: 1.0027, d4.loss_bbox: 0.6843, d4.loss_iou: 0.9978, loss: 13.5562, grad_norm: 15.3250 2022-10-26 20:06:19,055 - mmdet - INFO - Epoch [11][250/1849] lr: 2.000e-04, eta: 7:05:33, time: 0.346, data_time: 0.008, memory: 4054, loss_contrastive: 3.2459, loss_bbox: 0.6821, loss_iou: 1.0001, d0.loss_bbox: 0.7331, d0.loss_iou: 1.0641, d1.loss_bbox: 0.7080, d1.loss_iou: 1.0344, d2.loss_bbox: 0.6942, d2.loss_iou: 1.0153, d3.loss_bbox: 0.6861, d3.loss_iou: 1.0049, d4.loss_bbox: 0.6821, d4.loss_iou: 0.9999, loss: 13.5501, grad_norm: 12.4888 2022-10-26 20:06:36,518 - mmdet - INFO - Epoch [11][300/1849] lr: 2.000e-04, eta: 7:05:16, time: 0.349, data_time: 0.008, memory: 4054, loss_contrastive: 3.2509, loss_bbox: 0.6824, loss_iou: 0.9958, d0.loss_bbox: 0.7370, d0.loss_iou: 1.0596, d1.loss_bbox: 0.7104, d1.loss_iou: 1.0285, d2.loss_bbox: 0.6961, d2.loss_iou: 1.0116, d3.loss_bbox: 0.6867, d3.loss_iou: 1.0001, d4.loss_bbox: 0.6826, d4.loss_iou: 0.9956, loss: 13.5372, grad_norm: 14.6715 2022-10-26 20:06:53,988 - mmdet - INFO - Epoch [11][350/1849] lr: 2.000e-04, eta: 7:05:00, time: 0.349, data_time: 0.008, memory: 4054, loss_contrastive: 3.2379, loss_bbox: 0.6807, loss_iou: 0.9962, d0.loss_bbox: 0.7351, d0.loss_iou: 1.0614, d1.loss_bbox: 0.7084, d1.loss_iou: 1.0311, d2.loss_bbox: 0.6945, d2.loss_iou: 1.0122, d3.loss_bbox: 0.6848, d3.loss_iou: 1.0010, d4.loss_bbox: 0.6805, d4.loss_iou: 0.9963, loss: 13.5201, grad_norm: 14.2898 2022-10-26 20:07:11,256 - mmdet - INFO - Epoch [11][400/1849] lr: 2.000e-04, eta: 7:04:42, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2401, loss_bbox: 0.6845, loss_iou: 0.9979, d0.loss_bbox: 0.7369, d0.loss_iou: 1.0620, d1.loss_bbox: 0.7108, d1.loss_iou: 1.0310, d2.loss_bbox: 0.6970, d2.loss_iou: 1.0139, d3.loss_bbox: 0.6881, d3.loss_iou: 1.0025, d4.loss_bbox: 0.6845, d4.loss_iou: 0.9981, loss: 13.5471, grad_norm: 16.1152 2022-10-26 20:07:28,841 - mmdet - INFO - Epoch [11][450/1849] lr: 2.000e-04, eta: 7:04:26, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2397, loss_bbox: 0.6793, loss_iou: 0.9919, d0.loss_bbox: 0.7335, d0.loss_iou: 1.0574, d1.loss_bbox: 0.7075, d1.loss_iou: 1.0254, d2.loss_bbox: 0.6934, d2.loss_iou: 1.0072, d3.loss_bbox: 0.6836, d3.loss_iou: 0.9966, d4.loss_bbox: 0.6797, d4.loss_iou: 0.9921, loss: 13.4873, grad_norm: 14.0251 2022-10-26 20:07:46,622 - mmdet - INFO - Epoch [11][500/1849] lr: 2.000e-04, eta: 7:04:10, time: 0.356, data_time: 0.009, memory: 4054, loss_contrastive: 3.2482, loss_bbox: 0.6847, loss_iou: 0.9976, d0.loss_bbox: 0.7384, d0.loss_iou: 1.0611, d1.loss_bbox: 0.7112, d1.loss_iou: 1.0306, d2.loss_bbox: 0.6981, d2.loss_iou: 1.0137, d3.loss_bbox: 0.6886, d3.loss_iou: 1.0028, d4.loss_bbox: 0.6848, d4.loss_iou: 0.9981, loss: 13.5579, grad_norm: 11.3475 2022-10-26 20:08:04,134 - mmdet - INFO - Epoch [11][550/1849] lr: 2.000e-04, eta: 7:03:54, time: 0.350, data_time: 0.008, memory: 4054, loss_contrastive: 3.2421, loss_bbox: 0.6820, loss_iou: 0.9958, d0.loss_bbox: 0.7359, d0.loss_iou: 1.0596, d1.loss_bbox: 0.7086, d1.loss_iou: 1.0286, d2.loss_bbox: 0.6950, d2.loss_iou: 1.0119, d3.loss_bbox: 0.6856, d3.loss_iou: 0.9995, d4.loss_bbox: 0.6820, d4.loss_iou: 0.9955, loss: 13.5222, grad_norm: 13.0021 2022-10-26 20:08:21,809 - mmdet - INFO - Epoch [11][600/1849] lr: 2.000e-04, eta: 7:03:38, time: 0.353, data_time: 0.008, memory: 4054, loss_contrastive: 3.2470, loss_bbox: 0.6819, loss_iou: 0.9963, d0.loss_bbox: 0.7352, d0.loss_iou: 1.0591, d1.loss_bbox: 0.7093, d1.loss_iou: 1.0297, d2.loss_bbox: 0.6945, d2.loss_iou: 1.0114, d3.loss_bbox: 0.6856, d3.loss_iou: 1.0011, d4.loss_bbox: 0.6819, d4.loss_iou: 0.9960, loss: 13.5289, grad_norm: 12.8133 2022-10-26 20:08:39,234 - mmdet - INFO - Epoch [11][650/1849] lr: 2.000e-04, eta: 7:03:21, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2459, loss_bbox: 0.6814, loss_iou: 0.9987, d0.loss_bbox: 0.7354, d0.loss_iou: 1.0626, d1.loss_bbox: 0.7097, d1.loss_iou: 1.0327, d2.loss_bbox: 0.6954, d2.loss_iou: 1.0144, d3.loss_bbox: 0.6854, d3.loss_iou: 1.0040, d4.loss_bbox: 0.6814, d4.loss_iou: 0.9986, loss: 13.5457, grad_norm: 12.2936 2022-10-26 20:08:56,935 - mmdet - INFO - Epoch [11][700/1849] lr: 2.000e-04, eta: 7:03:05, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.2468, loss_bbox: 0.6841, loss_iou: 0.9969, d0.loss_bbox: 0.7380, d0.loss_iou: 1.0618, d1.loss_bbox: 0.7105, d1.loss_iou: 1.0302, d2.loss_bbox: 0.6968, d2.loss_iou: 1.0126, d3.loss_bbox: 0.6878, d3.loss_iou: 1.0012, d4.loss_bbox: 0.6837, d4.loss_iou: 0.9970, loss: 13.5476, grad_norm: 11.8903 2022-10-26 20:09:14,323 - mmdet - INFO - Epoch [11][750/1849] lr: 2.000e-04, eta: 7:02:48, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2330, loss_bbox: 0.6821, loss_iou: 0.9934, d0.loss_bbox: 0.7347, d0.loss_iou: 1.0552, d1.loss_bbox: 0.7080, d1.loss_iou: 1.0255, d2.loss_bbox: 0.6946, d2.loss_iou: 1.0073, d3.loss_bbox: 0.6858, d3.loss_iou: 0.9975, d4.loss_bbox: 0.6822, d4.loss_iou: 0.9930, loss: 13.4923, grad_norm: 16.0130 2022-10-26 20:09:31,800 - mmdet - INFO - Epoch [11][800/1849] lr: 2.000e-04, eta: 7:02:31, time: 0.349, data_time: 0.008, memory: 4054, loss_contrastive: 3.2380, loss_bbox: 0.6799, loss_iou: 0.9965, d0.loss_bbox: 0.7343, d0.loss_iou: 1.0615, d1.loss_bbox: 0.7077, d1.loss_iou: 1.0300, d2.loss_bbox: 0.6941, d2.loss_iou: 1.0122, d3.loss_bbox: 0.6842, d3.loss_iou: 1.0012, d4.loss_bbox: 0.6798, d4.loss_iou: 0.9965, loss: 13.5157, grad_norm: 12.4799 2022-10-26 20:09:49,310 - mmdet - INFO - Epoch [11][850/1849] lr: 2.000e-04, eta: 7:02:14, time: 0.350, data_time: 0.008, memory: 4054, loss_contrastive: 3.2342, loss_bbox: 0.6788, loss_iou: 0.9920, d0.loss_bbox: 0.7330, d0.loss_iou: 1.0572, d1.loss_bbox: 0.7058, d1.loss_iou: 1.0253, d2.loss_bbox: 0.6922, d2.loss_iou: 1.0079, d3.loss_bbox: 0.6828, d3.loss_iou: 0.9965, d4.loss_bbox: 0.6787, d4.loss_iou: 0.9921, loss: 13.4764, grad_norm: 13.8067 2022-10-26 20:10:06,736 - mmdet - INFO - Epoch [11][900/1849] lr: 2.000e-04, eta: 7:01:57, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2476, loss_bbox: 0.6814, loss_iou: 0.9963, d0.loss_bbox: 0.7347, d0.loss_iou: 1.0610, d1.loss_bbox: 0.7089, d1.loss_iou: 1.0306, d2.loss_bbox: 0.6944, d2.loss_iou: 1.0126, d3.loss_bbox: 0.6849, d3.loss_iou: 1.0018, d4.loss_bbox: 0.6812, d4.loss_iou: 0.9963, loss: 13.5318, grad_norm: 14.3355 2022-10-26 20:10:24,249 - mmdet - INFO - Epoch [11][950/1849] lr: 2.000e-04, eta: 7:01:41, time: 0.350, data_time: 0.008, memory: 4054, loss_contrastive: 3.2413, loss_bbox: 0.6820, loss_iou: 0.9930, d0.loss_bbox: 0.7357, d0.loss_iou: 1.0586, d1.loss_bbox: 0.7082, d1.loss_iou: 1.0270, d2.loss_bbox: 0.6952, d2.loss_iou: 1.0087, d3.loss_bbox: 0.6856, d3.loss_iou: 0.9980, d4.loss_bbox: 0.6820, d4.loss_iou: 0.9932, loss: 13.5086, grad_norm: 11.7221 2022-10-26 20:10:41,877 - mmdet - INFO - Epoch [11][1000/1849] lr: 2.000e-04, eta: 7:01:25, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2415, loss_bbox: 0.6832, loss_iou: 0.9998, d0.loss_bbox: 0.7363, d0.loss_iou: 1.0651, d1.loss_bbox: 0.7102, d1.loss_iou: 1.0344, d2.loss_bbox: 0.6957, d2.loss_iou: 1.0150, d3.loss_bbox: 0.6867, d3.loss_iou: 1.0038, d4.loss_bbox: 0.6828, d4.loss_iou: 0.9994, loss: 13.5540, grad_norm: 12.7528 2022-10-26 20:10:59,552 - mmdet - INFO - Epoch [11][1050/1849] lr: 2.000e-04, eta: 7:01:09, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.2352, loss_bbox: 0.6812, loss_iou: 0.9948, d0.loss_bbox: 0.7338, d0.loss_iou: 1.0591, d1.loss_bbox: 0.7085, d1.loss_iou: 1.0283, d2.loss_bbox: 0.6944, d2.loss_iou: 1.0101, d3.loss_bbox: 0.6850, d3.loss_iou: 0.9992, d4.loss_bbox: 0.6813, d4.loss_iou: 0.9947, loss: 13.5057, grad_norm: 13.4074 2022-10-26 20:11:17,054 - mmdet - INFO - Epoch [11][1100/1849] lr: 2.000e-04, eta: 7:00:52, time: 0.350, data_time: 0.008, memory: 4054, loss_contrastive: 3.2334, loss_bbox: 0.6833, loss_iou: 1.0003, d0.loss_bbox: 0.7360, d0.loss_iou: 1.0647, d1.loss_bbox: 0.7095, d1.loss_iou: 1.0339, d2.loss_bbox: 0.6961, d2.loss_iou: 1.0159, d3.loss_bbox: 0.6866, d3.loss_iou: 1.0049, d4.loss_bbox: 0.6833, d4.loss_iou: 1.0003, loss: 13.5481, grad_norm: 14.1074 2022-10-26 20:11:34,374 - mmdet - INFO - Epoch [11][1150/1849] lr: 2.000e-04, eta: 7:00:35, time: 0.346, data_time: 0.008, memory: 4054, loss_contrastive: 3.2397, loss_bbox: 0.6785, loss_iou: 0.9974, d0.loss_bbox: 0.7312, d0.loss_iou: 1.0606, d1.loss_bbox: 0.7062, d1.loss_iou: 1.0311, d2.loss_bbox: 0.6921, d2.loss_iou: 1.0123, d3.loss_bbox: 0.6826, d3.loss_iou: 1.0019, d4.loss_bbox: 0.6788, d4.loss_iou: 0.9971, loss: 13.5096, grad_norm: 13.3598 2022-10-26 20:11:51,800 - mmdet - INFO - Epoch [11][1200/1849] lr: 2.000e-04, eta: 7:00:18, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2360, loss_bbox: 0.6795, loss_iou: 0.9983, d0.loss_bbox: 0.7339, d0.loss_iou: 1.0642, d1.loss_bbox: 0.7074, d1.loss_iou: 1.0328, d2.loss_bbox: 0.6928, d2.loss_iou: 1.0140, d3.loss_bbox: 0.6834, d3.loss_iou: 1.0031, d4.loss_bbox: 0.6793, d4.loss_iou: 0.9984, loss: 13.5229, grad_norm: 14.0337 2022-10-26 20:12:09,163 - mmdet - INFO - Epoch [11][1250/1849] lr: 2.000e-04, eta: 7:00:00, time: 0.347, data_time: 0.008, memory: 4054, loss_contrastive: 3.2358, loss_bbox: 0.6780, loss_iou: 0.9947, d0.loss_bbox: 0.7323, d0.loss_iou: 1.0592, d1.loss_bbox: 0.7066, d1.loss_iou: 1.0288, d2.loss_bbox: 0.6918, d2.loss_iou: 1.0110, d3.loss_bbox: 0.6818, d3.loss_iou: 0.9991, d4.loss_bbox: 0.6782, d4.loss_iou: 0.9944, loss: 13.4917, grad_norm: 13.1154 2022-10-26 20:12:26,939 - mmdet - INFO - Epoch [11][1300/1849] lr: 2.000e-04, eta: 6:59:45, time: 0.356, data_time: 0.008, memory: 4054, loss_contrastive: 3.2392, loss_bbox: 0.6819, loss_iou: 0.9943, d0.loss_bbox: 0.7348, d0.loss_iou: 1.0588, d1.loss_bbox: 0.7083, d1.loss_iou: 1.0284, d2.loss_bbox: 0.6940, d2.loss_iou: 1.0098, d3.loss_bbox: 0.6855, d3.loss_iou: 0.9991, d4.loss_bbox: 0.6817, d4.loss_iou: 0.9941, loss: 13.5099, grad_norm: 13.9997 2022-10-26 20:12:44,128 - mmdet - INFO - Epoch [11][1350/1849] lr: 2.000e-04, eta: 6:59:27, time: 0.344, data_time: 0.008, memory: 4054, loss_contrastive: 3.2275, loss_bbox: 0.6786, loss_iou: 0.9912, d0.loss_bbox: 0.7322, d0.loss_iou: 1.0580, d1.loss_bbox: 0.7060, d1.loss_iou: 1.0258, d2.loss_bbox: 0.6916, d2.loss_iou: 1.0078, d3.loss_bbox: 0.6829, d3.loss_iou: 0.9969, d4.loss_bbox: 0.6786, d4.loss_iou: 0.9913, loss: 13.4685, grad_norm: 15.4361 2022-10-26 20:13:01,755 - mmdet - INFO - Epoch [11][1400/1849] lr: 2.000e-04, eta: 6:59:11, time: 0.353, data_time: 0.008, memory: 4054, loss_contrastive: 3.2338, loss_bbox: 0.6794, loss_iou: 0.9942, d0.loss_bbox: 0.7334, d0.loss_iou: 1.0598, d1.loss_bbox: 0.7066, d1.loss_iou: 1.0284, d2.loss_bbox: 0.6931, d2.loss_iou: 1.0098, d3.loss_bbox: 0.6828, d3.loss_iou: 0.9988, d4.loss_bbox: 0.6793, d4.loss_iou: 0.9940, loss: 13.4933, grad_norm: 12.8753 2022-10-26 20:13:19,283 - mmdet - INFO - Epoch [11][1450/1849] lr: 2.000e-04, eta: 6:58:54, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2337, loss_bbox: 0.6806, loss_iou: 0.9927, d0.loss_bbox: 0.7334, d0.loss_iou: 1.0568, d1.loss_bbox: 0.7078, d1.loss_iou: 1.0277, d2.loss_bbox: 0.6938, d2.loss_iou: 1.0085, d3.loss_bbox: 0.6844, d3.loss_iou: 0.9974, d4.loss_bbox: 0.6803, d4.loss_iou: 0.9925, loss: 13.4897, grad_norm: 13.9098 2022-10-26 20:13:36,963 - mmdet - INFO - Epoch [11][1500/1849] lr: 2.000e-04, eta: 6:58:38, time: 0.354, data_time: 0.008, memory: 4054, loss_contrastive: 3.2345, loss_bbox: 0.6798, loss_iou: 0.9934, d0.loss_bbox: 0.7339, d0.loss_iou: 1.0582, d1.loss_bbox: 0.7081, d1.loss_iou: 1.0273, d2.loss_bbox: 0.6925, d2.loss_iou: 1.0083, d3.loss_bbox: 0.6841, d3.loss_iou: 0.9975, d4.loss_bbox: 0.6799, d4.loss_iou: 0.9932, loss: 13.4908, grad_norm: 12.8859 2022-10-26 20:13:54,567 - mmdet - INFO - Epoch [11][1550/1849] lr: 2.000e-04, eta: 6:58:22, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2366, loss_bbox: 0.6817, loss_iou: 0.9946, d0.loss_bbox: 0.7341, d0.loss_iou: 1.0589, d1.loss_bbox: 0.7091, d1.loss_iou: 1.0278, d2.loss_bbox: 0.6954, d2.loss_iou: 1.0098, d3.loss_bbox: 0.6851, d3.loss_iou: 0.9990, d4.loss_bbox: 0.6816, d4.loss_iou: 0.9944, loss: 13.5080, grad_norm: 13.1679 2022-10-26 20:14:11,992 - mmdet - INFO - Epoch [11][1600/1849] lr: 2.000e-04, eta: 6:58:05, time: 0.348, data_time: 0.008, memory: 4054, loss_contrastive: 3.2430, loss_bbox: 0.6842, loss_iou: 0.9936, d0.loss_bbox: 0.7382, d0.loss_iou: 1.0591, d1.loss_bbox: 0.7118, d1.loss_iou: 1.0281, d2.loss_bbox: 0.6973, d2.loss_iou: 1.0097, d3.loss_bbox: 0.6879, d3.loss_iou: 0.9986, d4.loss_bbox: 0.6841, d4.loss_iou: 0.9934, loss: 13.5289, grad_norm: 13.1045 2022-10-26 20:14:29,685 - mmdet - INFO - Epoch [11][1650/1849] lr: 2.000e-04, eta: 6:57:48, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.2384, loss_bbox: 0.6803, loss_iou: 0.9953, d0.loss_bbox: 0.7335, d0.loss_iou: 1.0592, d1.loss_bbox: 0.7079, d1.loss_iou: 1.0291, d2.loss_bbox: 0.6936, d2.loss_iou: 1.0103, d3.loss_bbox: 0.6841, d3.loss_iou: 0.9996, d4.loss_bbox: 0.6805, d4.loss_iou: 0.9952, loss: 13.5070, grad_norm: 13.6232 2022-10-26 20:14:47,101 - mmdet - INFO - Epoch [11][1700/1849] lr: 2.000e-04, eta: 6:57:31, time: 0.348, data_time: 0.008, memory: 4054, loss_contrastive: 3.2303, loss_bbox: 0.6822, loss_iou: 0.9940, d0.loss_bbox: 0.7355, d0.loss_iou: 1.0598, d1.loss_bbox: 0.7090, d1.loss_iou: 1.0281, d2.loss_bbox: 0.6959, d2.loss_iou: 1.0106, d3.loss_bbox: 0.6865, d3.loss_iou: 0.9990, d4.loss_bbox: 0.6821, d4.loss_iou: 0.9943, loss: 13.5074, grad_norm: 12.1487 2022-10-26 20:15:04,497 - mmdet - INFO - Epoch [11][1750/1849] lr: 2.000e-04, eta: 6:57:14, time: 0.348, data_time: 0.008, memory: 4054, loss_contrastive: 3.2297, loss_bbox: 0.6810, loss_iou: 0.9938, d0.loss_bbox: 0.7334, d0.loss_iou: 1.0565, d1.loss_bbox: 0.7075, d1.loss_iou: 1.0281, d2.loss_bbox: 0.6940, d2.loss_iou: 1.0102, d3.loss_bbox: 0.6845, d3.loss_iou: 0.9989, d4.loss_bbox: 0.6810, d4.loss_iou: 0.9937, loss: 13.4922, grad_norm: 12.9204 2022-10-26 20:15:22,065 - mmdet - INFO - Epoch [11][1800/1849] lr: 2.000e-04, eta: 6:56:58, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2341, loss_bbox: 0.6814, loss_iou: 0.9922, d0.loss_bbox: 0.7346, d0.loss_iou: 1.0578, d1.loss_bbox: 0.7086, d1.loss_iou: 1.0266, d2.loss_bbox: 0.6954, d2.loss_iou: 1.0081, d3.loss_bbox: 0.6855, d3.loss_iou: 0.9971, d4.loss_bbox: 0.6813, d4.loss_iou: 0.9922, loss: 13.4948, grad_norm: 14.4270 2022-10-26 20:15:39,445 - mmdet - INFO - Saving checkpoint at 11 epochs 2022-10-26 20:16:01,349 - mmdet - INFO - Epoch [12][50/1849] lr: 2.000e-04, eta: 6:55:35, time: 0.414, data_time: 0.069, memory: 4054, loss_contrastive: 3.2361, loss_bbox: 0.6790, loss_iou: 0.9896, d0.loss_bbox: 0.7341, d0.loss_iou: 1.0554, d1.loss_bbox: 0.7072, d1.loss_iou: 1.0235, d2.loss_bbox: 0.6933, d2.loss_iou: 1.0058, d3.loss_bbox: 0.6834, d3.loss_iou: 0.9943, d4.loss_bbox: 0.6792, d4.loss_iou: 0.9891, loss: 13.4698, grad_norm: 12.1464 2022-10-26 20:16:18,874 - mmdet - INFO - Epoch [12][100/1849] lr: 2.000e-04, eta: 6:55:19, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2247, loss_bbox: 0.6788, loss_iou: 0.9973, d0.loss_bbox: 0.7318, d0.loss_iou: 1.0624, d1.loss_bbox: 0.7060, d1.loss_iou: 1.0325, d2.loss_bbox: 0.6926, d2.loss_iou: 1.0144, d3.loss_bbox: 0.6826, d3.loss_iou: 1.0026, d4.loss_bbox: 0.6789, d4.loss_iou: 0.9975, loss: 13.5022, grad_norm: 11.5376 2022-10-26 20:16:36,258 - mmdet - INFO - Epoch [12][150/1849] lr: 2.000e-04, eta: 6:55:02, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2366, loss_bbox: 0.6794, loss_iou: 0.9906, d0.loss_bbox: 0.7329, d0.loss_iou: 1.0558, d1.loss_bbox: 0.7078, d1.loss_iou: 1.0252, d2.loss_bbox: 0.6933, d2.loss_iou: 1.0069, d3.loss_bbox: 0.6836, d3.loss_iou: 0.9953, d4.loss_bbox: 0.6795, d4.loss_iou: 0.9902, loss: 13.4770, grad_norm: 12.0613 2022-10-26 20:16:54,126 - mmdet - INFO - Epoch [12][200/1849] lr: 2.000e-04, eta: 6:54:47, time: 0.357, data_time: 0.009, memory: 4054, loss_contrastive: 3.2276, loss_bbox: 0.6768, loss_iou: 0.9913, d0.loss_bbox: 0.7289, d0.loss_iou: 1.0555, d1.loss_bbox: 0.7031, d1.loss_iou: 1.0247, d2.loss_bbox: 0.6904, d2.loss_iou: 1.0067, d3.loss_bbox: 0.6808, d3.loss_iou: 0.9959, d4.loss_bbox: 0.6770, d4.loss_iou: 0.9913, loss: 13.4500, grad_norm: 13.9214 2022-10-26 20:17:11,865 - mmdet - INFO - Epoch [12][250/1849] lr: 2.000e-04, eta: 6:54:31, time: 0.355, data_time: 0.009, memory: 4054, loss_contrastive: 3.2302, loss_bbox: 0.6762, loss_iou: 0.9931, d0.loss_bbox: 0.7294, d0.loss_iou: 1.0587, d1.loss_bbox: 0.7042, d1.loss_iou: 1.0275, d2.loss_bbox: 0.6907, d2.loss_iou: 1.0082, d3.loss_bbox: 0.6806, d3.loss_iou: 0.9975, d4.loss_bbox: 0.6762, d4.loss_iou: 0.9928, loss: 13.4655, grad_norm: 13.3899 2022-10-26 20:17:29,451 - mmdet - INFO - Epoch [12][300/1849] lr: 2.000e-04, eta: 6:54:14, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2303, loss_bbox: 0.6750, loss_iou: 0.9912, d0.loss_bbox: 0.7299, d0.loss_iou: 1.0556, d1.loss_bbox: 0.7029, d1.loss_iou: 1.0252, d2.loss_bbox: 0.6885, d2.loss_iou: 1.0069, d3.loss_bbox: 0.6791, d3.loss_iou: 0.9958, d4.loss_bbox: 0.6754, d4.loss_iou: 0.9910, loss: 13.4469, grad_norm: 13.1605 2022-10-26 20:17:46,877 - mmdet - INFO - Epoch [12][350/1849] lr: 2.000e-04, eta: 6:53:58, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2286, loss_bbox: 0.6783, loss_iou: 0.9907, d0.loss_bbox: 0.7338, d0.loss_iou: 1.0569, d1.loss_bbox: 0.7075, d1.loss_iou: 1.0262, d2.loss_bbox: 0.6922, d2.loss_iou: 1.0074, d3.loss_bbox: 0.6825, d3.loss_iou: 0.9961, d4.loss_bbox: 0.6785, d4.loss_iou: 0.9906, loss: 13.4693, grad_norm: 12.9895 2022-10-26 20:18:04,377 - mmdet - INFO - Epoch [12][400/1849] lr: 2.000e-04, eta: 6:53:41, time: 0.350, data_time: 0.008, memory: 4054, loss_contrastive: 3.2315, loss_bbox: 0.6795, loss_iou: 0.9948, d0.loss_bbox: 0.7318, d0.loss_iou: 1.0611, d1.loss_bbox: 0.7067, d1.loss_iou: 1.0299, d2.loss_bbox: 0.6939, d2.loss_iou: 1.0122, d3.loss_bbox: 0.6839, d3.loss_iou: 0.9998, d4.loss_bbox: 0.6797, d4.loss_iou: 0.9948, loss: 13.4996, grad_norm: 13.6261 2022-10-26 20:18:21,767 - mmdet - INFO - Epoch [12][450/1849] lr: 2.000e-04, eta: 6:53:24, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2336, loss_bbox: 0.6756, loss_iou: 0.9876, d0.loss_bbox: 0.7306, d0.loss_iou: 1.0535, d1.loss_bbox: 0.7043, d1.loss_iou: 1.0219, d2.loss_bbox: 0.6899, d2.loss_iou: 1.0036, d3.loss_bbox: 0.6804, d3.loss_iou: 0.9930, d4.loss_bbox: 0.6758, d4.loss_iou: 0.9876, loss: 13.4375, grad_norm: 13.4225 2022-10-26 20:18:39,303 - mmdet - INFO - Epoch [12][500/1849] lr: 2.000e-04, eta: 6:53:07, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2252, loss_bbox: 0.6755, loss_iou: 0.9873, d0.loss_bbox: 0.7299, d0.loss_iou: 1.0537, d1.loss_bbox: 0.7035, d1.loss_iou: 1.0214, d2.loss_bbox: 0.6892, d2.loss_iou: 1.0034, d3.loss_bbox: 0.6794, d3.loss_iou: 0.9928, d4.loss_bbox: 0.6757, d4.loss_iou: 0.9878, loss: 13.4248, grad_norm: 13.8512 2022-10-26 20:18:56,637 - mmdet - INFO - Epoch [12][550/1849] lr: 2.000e-04, eta: 6:52:50, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2277, loss_bbox: 0.6756, loss_iou: 0.9906, d0.loss_bbox: 0.7284, d0.loss_iou: 1.0556, d1.loss_bbox: 0.7017, d1.loss_iou: 1.0234, d2.loss_bbox: 0.6888, d2.loss_iou: 1.0063, d3.loss_bbox: 0.6797, d3.loss_iou: 0.9958, d4.loss_bbox: 0.6754, d4.loss_iou: 0.9907, loss: 13.4396, grad_norm: 13.5101 2022-10-26 20:19:14,087 - mmdet - INFO - Epoch [12][600/1849] lr: 2.000e-04, eta: 6:52:33, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2241, loss_bbox: 0.6762, loss_iou: 0.9895, d0.loss_bbox: 0.7294, d0.loss_iou: 1.0539, d1.loss_bbox: 0.7025, d1.loss_iou: 1.0223, d2.loss_bbox: 0.6893, d2.loss_iou: 1.0044, d3.loss_bbox: 0.6802, d3.loss_iou: 0.9942, d4.loss_bbox: 0.6764, d4.loss_iou: 0.9891, loss: 13.4315, grad_norm: 13.2246 2022-10-26 20:19:31,711 - mmdet - INFO - Epoch [12][650/1849] lr: 2.000e-04, eta: 6:52:17, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2305, loss_bbox: 0.6776, loss_iou: 0.9913, d0.loss_bbox: 0.7307, d0.loss_iou: 1.0567, d1.loss_bbox: 0.7053, d1.loss_iou: 1.0254, d2.loss_bbox: 0.6914, d2.loss_iou: 1.0068, d3.loss_bbox: 0.6818, d3.loss_iou: 0.9953, d4.loss_bbox: 0.6780, d4.loss_iou: 0.9912, loss: 13.4620, grad_norm: 14.3050 2022-10-26 20:19:49,099 - mmdet - INFO - Epoch [12][700/1849] lr: 2.000e-04, eta: 6:52:00, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2324, loss_bbox: 0.6785, loss_iou: 0.9911, d0.loss_bbox: 0.7302, d0.loss_iou: 1.0542, d1.loss_bbox: 0.7049, d1.loss_iou: 1.0254, d2.loss_bbox: 0.6920, d2.loss_iou: 1.0065, d3.loss_bbox: 0.6824, d3.loss_iou: 0.9962, d4.loss_bbox: 0.6787, d4.loss_iou: 0.9909, loss: 13.4633, grad_norm: 13.0514 2022-10-26 20:20:06,309 - mmdet - INFO - Epoch [12][750/1849] lr: 2.000e-04, eta: 6:51:42, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.2283, loss_bbox: 0.6769, loss_iou: 0.9917, d0.loss_bbox: 0.7308, d0.loss_iou: 1.0589, d1.loss_bbox: 0.7046, d1.loss_iou: 1.0274, d2.loss_bbox: 0.6904, d2.loss_iou: 1.0082, d3.loss_bbox: 0.6810, d3.loss_iou: 0.9970, d4.loss_bbox: 0.6769, d4.loss_iou: 0.9916, loss: 13.4637, grad_norm: 13.5237 2022-10-26 20:20:23,882 - mmdet - INFO - Epoch [12][800/1849] lr: 2.000e-04, eta: 6:51:26, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2169, loss_bbox: 0.6816, loss_iou: 0.9951, d0.loss_bbox: 0.7329, d0.loss_iou: 1.0589, d1.loss_bbox: 0.7084, d1.loss_iou: 1.0298, d2.loss_bbox: 0.6946, d2.loss_iou: 1.0118, d3.loss_bbox: 0.6853, d3.loss_iou: 0.9999, d4.loss_bbox: 0.6816, d4.loss_iou: 0.9954, loss: 13.4921, grad_norm: 14.9024 2022-10-26 20:20:41,308 - mmdet - INFO - Epoch [12][850/1849] lr: 2.000e-04, eta: 6:51:09, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2308, loss_bbox: 0.6815, loss_iou: 0.9935, d0.loss_bbox: 0.7353, d0.loss_iou: 1.0585, d1.loss_bbox: 0.7091, d1.loss_iou: 1.0278, d2.loss_bbox: 0.6944, d2.loss_iou: 1.0092, d3.loss_bbox: 0.6857, d3.loss_iou: 0.9982, d4.loss_bbox: 0.6818, d4.loss_iou: 0.9937, loss: 13.4995, grad_norm: 12.1864 2022-10-26 20:20:58,889 - mmdet - INFO - Epoch [12][900/1849] lr: 2.000e-04, eta: 6:50:53, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2248, loss_bbox: 0.6779, loss_iou: 0.9872, d0.loss_bbox: 0.7321, d0.loss_iou: 1.0545, d1.loss_bbox: 0.7058, d1.loss_iou: 1.0227, d2.loss_bbox: 0.6909, d2.loss_iou: 1.0031, d3.loss_bbox: 0.6818, d3.loss_iou: 0.9913, d4.loss_bbox: 0.6778, d4.loss_iou: 0.9869, loss: 13.4366, grad_norm: 13.1706 2022-10-26 20:21:16,304 - mmdet - INFO - Epoch [12][950/1849] lr: 2.000e-04, eta: 6:50:36, time: 0.348, data_time: 0.008, memory: 4054, loss_contrastive: 3.2224, loss_bbox: 0.6778, loss_iou: 0.9895, d0.loss_bbox: 0.7325, d0.loss_iou: 1.0554, d1.loss_bbox: 0.7055, d1.loss_iou: 1.0233, d2.loss_bbox: 0.6914, d2.loss_iou: 1.0054, d3.loss_bbox: 0.6822, d3.loss_iou: 0.9941, d4.loss_bbox: 0.6785, d4.loss_iou: 0.9892, loss: 13.4471, grad_norm: 16.3615 2022-10-26 20:21:33,944 - mmdet - INFO - Epoch [12][1000/1849] lr: 2.000e-04, eta: 6:50:19, time: 0.353, data_time: 0.008, memory: 4054, loss_contrastive: 3.2301, loss_bbox: 0.6807, loss_iou: 0.9922, d0.loss_bbox: 0.7352, d0.loss_iou: 1.0581, d1.loss_bbox: 0.7083, d1.loss_iou: 1.0274, d2.loss_bbox: 0.6951, d2.loss_iou: 1.0084, d3.loss_bbox: 0.6851, d3.loss_iou: 0.9970, d4.loss_bbox: 0.6808, d4.loss_iou: 0.9921, loss: 13.4903, grad_norm: 13.9853 2022-10-26 20:21:51,387 - mmdet - INFO - Epoch [12][1050/1849] lr: 2.000e-04, eta: 6:50:03, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2239, loss_bbox: 0.6770, loss_iou: 0.9892, d0.loss_bbox: 0.7299, d0.loss_iou: 1.0531, d1.loss_bbox: 0.7043, d1.loss_iou: 1.0225, d2.loss_bbox: 0.6904, d2.loss_iou: 1.0046, d3.loss_bbox: 0.6809, d3.loss_iou: 0.9936, d4.loss_bbox: 0.6771, d4.loss_iou: 0.9891, loss: 13.4356, grad_norm: 14.3248 2022-10-26 20:22:09,118 - mmdet - INFO - Epoch [12][1100/1849] lr: 2.000e-04, eta: 6:49:47, time: 0.355, data_time: 0.009, memory: 4054, loss_contrastive: 3.2243, loss_bbox: 0.6753, loss_iou: 0.9867, d0.loss_bbox: 0.7297, d0.loss_iou: 1.0521, d1.loss_bbox: 0.7032, d1.loss_iou: 1.0217, d2.loss_bbox: 0.6889, d2.loss_iou: 1.0028, d3.loss_bbox: 0.6795, d3.loss_iou: 0.9913, d4.loss_bbox: 0.6754, d4.loss_iou: 0.9869, loss: 13.4178, grad_norm: 13.1560 2022-10-26 20:22:26,566 - mmdet - INFO - Epoch [12][1150/1849] lr: 2.000e-04, eta: 6:49:30, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2244, loss_bbox: 0.6809, loss_iou: 0.9881, d0.loss_bbox: 0.7335, d0.loss_iou: 1.0540, d1.loss_bbox: 0.7078, d1.loss_iou: 1.0224, d2.loss_bbox: 0.6941, d2.loss_iou: 1.0035, d3.loss_bbox: 0.6848, d3.loss_iou: 0.9932, d4.loss_bbox: 0.6809, d4.loss_iou: 0.9883, loss: 13.4556, grad_norm: 12.8545 2022-10-26 20:22:43,750 - mmdet - INFO - Epoch [12][1200/1849] lr: 2.000e-04, eta: 6:49:12, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.2280, loss_bbox: 0.6740, loss_iou: 0.9869, d0.loss_bbox: 0.7274, d0.loss_iou: 1.0513, d1.loss_bbox: 0.7011, d1.loss_iou: 1.0205, d2.loss_bbox: 0.6874, d2.loss_iou: 1.0020, d3.loss_bbox: 0.6784, d3.loss_iou: 0.9914, d4.loss_bbox: 0.6740, d4.loss_iou: 0.9869, loss: 13.4091, grad_norm: 12.1287 2022-10-26 20:23:01,317 - mmdet - INFO - Epoch [12][1250/1849] lr: 2.000e-04, eta: 6:48:56, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2317, loss_bbox: 0.6814, loss_iou: 0.9939, d0.loss_bbox: 0.7341, d0.loss_iou: 1.0586, d1.loss_bbox: 0.7094, d1.loss_iou: 1.0285, d2.loss_bbox: 0.6945, d2.loss_iou: 1.0100, d3.loss_bbox: 0.6855, d3.loss_iou: 0.9974, d4.loss_bbox: 0.6816, d4.loss_iou: 0.9936, loss: 13.5003, grad_norm: 13.9815 2022-10-26 20:23:18,834 - mmdet - INFO - Epoch [12][1300/1849] lr: 2.000e-04, eta: 6:48:39, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2235, loss_bbox: 0.6785, loss_iou: 0.9897, d0.loss_bbox: 0.7310, d0.loss_iou: 1.0550, d1.loss_bbox: 0.7065, d1.loss_iou: 1.0243, d2.loss_bbox: 0.6913, d2.loss_iou: 1.0062, d3.loss_bbox: 0.6825, d3.loss_iou: 0.9953, d4.loss_bbox: 0.6785, d4.loss_iou: 0.9897, loss: 13.4521, grad_norm: 13.1632 2022-10-26 20:23:36,376 - mmdet - INFO - Epoch [12][1350/1849] lr: 2.000e-04, eta: 6:48:22, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2268, loss_bbox: 0.6765, loss_iou: 0.9875, d0.loss_bbox: 0.7306, d0.loss_iou: 1.0527, d1.loss_bbox: 0.7038, d1.loss_iou: 1.0222, d2.loss_bbox: 0.6903, d2.loss_iou: 1.0042, d3.loss_bbox: 0.6811, d3.loss_iou: 0.9924, d4.loss_bbox: 0.6769, d4.loss_iou: 0.9874, loss: 13.4323, grad_norm: 14.4423 2022-10-26 20:23:53,722 - mmdet - INFO - Epoch [12][1400/1849] lr: 2.000e-04, eta: 6:48:05, time: 0.347, data_time: 0.008, memory: 4054, loss_contrastive: 3.2239, loss_bbox: 0.6734, loss_iou: 0.9847, d0.loss_bbox: 0.7280, d0.loss_iou: 1.0505, d1.loss_bbox: 0.7023, d1.loss_iou: 1.0205, d2.loss_bbox: 0.6879, d2.loss_iou: 1.0008, d3.loss_bbox: 0.6777, d3.loss_iou: 0.9896, d4.loss_bbox: 0.6738, d4.loss_iou: 0.9847, loss: 13.3978, grad_norm: 11.9553 2022-10-26 20:24:11,254 - mmdet - INFO - Epoch [12][1450/1849] lr: 2.000e-04, eta: 6:47:49, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2300, loss_bbox: 0.6802, loss_iou: 0.9967, d0.loss_bbox: 0.7328, d0.loss_iou: 1.0590, d1.loss_bbox: 0.7075, d1.loss_iou: 1.0300, d2.loss_bbox: 0.6941, d2.loss_iou: 1.0119, d3.loss_bbox: 0.6839, d3.loss_iou: 1.0011, d4.loss_bbox: 0.6803, d4.loss_iou: 0.9963, loss: 13.5037, grad_norm: 13.1244 2022-10-26 20:24:28,947 - mmdet - INFO - Epoch [12][1500/1849] lr: 2.000e-04, eta: 6:47:33, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.2281, loss_bbox: 0.6754, loss_iou: 0.9893, d0.loss_bbox: 0.7283, d0.loss_iou: 1.0542, d1.loss_bbox: 0.7019, d1.loss_iou: 1.0234, d2.loss_bbox: 0.6887, d2.loss_iou: 1.0042, d3.loss_bbox: 0.6793, d3.loss_iou: 0.9932, d4.loss_bbox: 0.6754, d4.loss_iou: 0.9895, loss: 13.4310, grad_norm: 12.3343 2022-10-26 20:24:46,375 - mmdet - INFO - Epoch [12][1550/1849] lr: 2.000e-04, eta: 6:47:16, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2241, loss_bbox: 0.6775, loss_iou: 0.9921, d0.loss_bbox: 0.7281, d0.loss_iou: 1.0543, d1.loss_bbox: 0.7038, d1.loss_iou: 1.0253, d2.loss_bbox: 0.6910, d2.loss_iou: 1.0074, d3.loss_bbox: 0.6826, d3.loss_iou: 0.9966, d4.loss_bbox: 0.6779, d4.loss_iou: 0.9922, loss: 13.4530, grad_norm: 13.4075 2022-10-26 20:25:03,783 - mmdet - INFO - Epoch [12][1600/1849] lr: 2.000e-04, eta: 6:46:59, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2247, loss_bbox: 0.6754, loss_iou: 0.9872, d0.loss_bbox: 0.7276, d0.loss_iou: 1.0524, d1.loss_bbox: 0.7019, d1.loss_iou: 1.0212, d2.loss_bbox: 0.6891, d2.loss_iou: 1.0040, d3.loss_bbox: 0.6790, d3.loss_iou: 0.9926, d4.loss_bbox: 0.6755, d4.loss_iou: 0.9875, loss: 13.4182, grad_norm: 13.8299 2022-10-26 20:25:21,275 - mmdet - INFO - Epoch [12][1650/1849] lr: 2.000e-04, eta: 6:46:42, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2204, loss_bbox: 0.6779, loss_iou: 0.9890, d0.loss_bbox: 0.7308, d0.loss_iou: 1.0527, d1.loss_bbox: 0.7052, d1.loss_iou: 1.0238, d2.loss_bbox: 0.6908, d2.loss_iou: 1.0048, d3.loss_bbox: 0.6813, d3.loss_iou: 0.9944, d4.loss_bbox: 0.6781, d4.loss_iou: 0.9889, loss: 13.4380, grad_norm: 13.7594 2022-10-26 20:25:38,976 - mmdet - INFO - Epoch [12][1700/1849] lr: 2.000e-04, eta: 6:46:26, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.2213, loss_bbox: 0.6763, loss_iou: 0.9887, d0.loss_bbox: 0.7300, d0.loss_iou: 1.0545, d1.loss_bbox: 0.7028, d1.loss_iou: 1.0236, d2.loss_bbox: 0.6897, d2.loss_iou: 1.0050, d3.loss_bbox: 0.6805, d3.loss_iou: 0.9937, d4.loss_bbox: 0.6765, d4.loss_iou: 0.9889, loss: 13.4316, grad_norm: 13.3891 2022-10-26 20:25:56,259 - mmdet - INFO - Epoch [12][1750/1849] lr: 2.000e-04, eta: 6:46:08, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2237, loss_bbox: 0.6750, loss_iou: 0.9901, d0.loss_bbox: 0.7290, d0.loss_iou: 1.0568, d1.loss_bbox: 0.7026, d1.loss_iou: 1.0254, d2.loss_bbox: 0.6891, d2.loss_iou: 1.0065, d3.loss_bbox: 0.6791, d3.loss_iou: 0.9951, d4.loss_bbox: 0.6751, d4.loss_iou: 0.9903, loss: 13.4377, grad_norm: 14.9770 2022-10-26 20:26:13,725 - mmdet - INFO - Epoch [12][1800/1849] lr: 2.000e-04, eta: 6:45:51, time: 0.349, data_time: 0.008, memory: 4054, loss_contrastive: 3.2272, loss_bbox: 0.6772, loss_iou: 0.9927, d0.loss_bbox: 0.7304, d0.loss_iou: 1.0568, d1.loss_bbox: 0.7050, d1.loss_iou: 1.0260, d2.loss_bbox: 0.6909, d2.loss_iou: 1.0087, d3.loss_bbox: 0.6815, d3.loss_iou: 0.9976, d4.loss_bbox: 0.6772, d4.loss_iou: 0.9925, loss: 13.4637, grad_norm: 12.2493 2022-10-26 20:26:30,865 - mmdet - INFO - Saving checkpoint at 12 epochs 2022-10-26 20:26:52,689 - mmdet - INFO - Epoch [13][50/1849] lr: 2.000e-04, eta: 6:44:34, time: 0.412, data_time: 0.069, memory: 4054, loss_contrastive: 3.2313, loss_bbox: 0.6755, loss_iou: 0.9888, d0.loss_bbox: 0.7301, d0.loss_iou: 1.0556, d1.loss_bbox: 0.7035, d1.loss_iou: 1.0233, d2.loss_bbox: 0.6892, d2.loss_iou: 1.0055, d3.loss_bbox: 0.6792, d3.loss_iou: 0.9934, d4.loss_bbox: 0.6753, d4.loss_iou: 0.9889, loss: 13.4395, grad_norm: 13.6549 2022-10-26 20:27:10,450 - mmdet - INFO - Epoch [13][100/1849] lr: 2.000e-04, eta: 6:44:18, time: 0.355, data_time: 0.008, memory: 4054, loss_contrastive: 3.2174, loss_bbox: 0.6742, loss_iou: 0.9856, d0.loss_bbox: 0.7274, d0.loss_iou: 1.0515, d1.loss_bbox: 0.7021, d1.loss_iou: 1.0214, d2.loss_bbox: 0.6879, d2.loss_iou: 1.0026, d3.loss_bbox: 0.6781, d3.loss_iou: 0.9907, d4.loss_bbox: 0.6741, d4.loss_iou: 0.9858, loss: 13.3989, grad_norm: 13.3599 2022-10-26 20:27:27,897 - mmdet - INFO - Epoch [13][150/1849] lr: 2.000e-04, eta: 6:44:01, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2255, loss_bbox: 0.6774, loss_iou: 0.9905, d0.loss_bbox: 0.7297, d0.loss_iou: 1.0552, d1.loss_bbox: 0.7036, d1.loss_iou: 1.0236, d2.loss_bbox: 0.6912, d2.loss_iou: 1.0054, d3.loss_bbox: 0.6816, d3.loss_iou: 0.9950, d4.loss_bbox: 0.6772, d4.loss_iou: 0.9900, loss: 13.4458, grad_norm: 13.5048 2022-10-26 20:27:45,101 - mmdet - INFO - Epoch [13][200/1849] lr: 2.000e-04, eta: 6:43:44, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.2214, loss_bbox: 0.6736, loss_iou: 0.9862, d0.loss_bbox: 0.7278, d0.loss_iou: 1.0524, d1.loss_bbox: 0.7013, d1.loss_iou: 1.0214, d2.loss_bbox: 0.6868, d2.loss_iou: 1.0026, d3.loss_bbox: 0.6777, d3.loss_iou: 0.9908, d4.loss_bbox: 0.6739, d4.loss_iou: 0.9859, loss: 13.4017, grad_norm: 13.7968 2022-10-26 20:28:02,438 - mmdet - INFO - Epoch [13][250/1849] lr: 2.000e-04, eta: 6:43:27, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2147, loss_bbox: 0.6724, loss_iou: 0.9849, d0.loss_bbox: 0.7258, d0.loss_iou: 1.0493, d1.loss_bbox: 0.6996, d1.loss_iou: 1.0199, d2.loss_bbox: 0.6857, d2.loss_iou: 1.0005, d3.loss_bbox: 0.6762, d3.loss_iou: 0.9899, d4.loss_bbox: 0.6726, d4.loss_iou: 0.9847, loss: 13.3763, grad_norm: 13.4505 2022-10-26 20:28:19,833 - mmdet - INFO - Epoch [13][300/1849] lr: 2.000e-04, eta: 6:43:10, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2118, loss_bbox: 0.6740, loss_iou: 0.9882, d0.loss_bbox: 0.7280, d0.loss_iou: 1.0513, d1.loss_bbox: 0.7008, d1.loss_iou: 1.0217, d2.loss_bbox: 0.6869, d2.loss_iou: 1.0033, d3.loss_bbox: 0.6782, d3.loss_iou: 0.9925, d4.loss_bbox: 0.6741, d4.loss_iou: 0.9885, loss: 13.3994, grad_norm: 15.3694 2022-10-26 20:28:37,428 - mmdet - INFO - Epoch [13][350/1849] lr: 2.000e-04, eta: 6:42:53, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2202, loss_bbox: 0.6775, loss_iou: 0.9883, d0.loss_bbox: 0.7289, d0.loss_iou: 1.0526, d1.loss_bbox: 0.7042, d1.loss_iou: 1.0222, d2.loss_bbox: 0.6905, d2.loss_iou: 1.0043, d3.loss_bbox: 0.6808, d3.loss_iou: 0.9930, d4.loss_bbox: 0.6771, d4.loss_iou: 0.9883, loss: 13.4279, grad_norm: 13.0499 2022-10-26 20:28:54,780 - mmdet - INFO - Epoch [13][400/1849] lr: 2.000e-04, eta: 6:42:36, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2168, loss_bbox: 0.6760, loss_iou: 0.9904, d0.loss_bbox: 0.7291, d0.loss_iou: 1.0535, d1.loss_bbox: 0.7043, d1.loss_iou: 1.0248, d2.loss_bbox: 0.6906, d2.loss_iou: 1.0071, d3.loss_bbox: 0.6806, d3.loss_iou: 0.9955, d4.loss_bbox: 0.6761, d4.loss_iou: 0.9904, loss: 13.4354, grad_norm: 15.4212 2022-10-26 20:29:12,336 - mmdet - INFO - Epoch [13][450/1849] lr: 2.000e-04, eta: 6:42:20, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2360, loss_bbox: 0.6755, loss_iou: 0.9930, d0.loss_bbox: 0.7306, d0.loss_iou: 1.0581, d1.loss_bbox: 0.7029, d1.loss_iou: 1.0270, d2.loss_bbox: 0.6889, d2.loss_iou: 1.0088, d3.loss_bbox: 0.6794, d3.loss_iou: 0.9978, d4.loss_bbox: 0.6755, d4.loss_iou: 0.9931, loss: 13.4665, grad_norm: 13.7658 2022-10-26 20:29:29,641 - mmdet - INFO - Epoch [13][500/1849] lr: 2.000e-04, eta: 6:42:03, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2225, loss_bbox: 0.6740, loss_iou: 0.9876, d0.loss_bbox: 0.7269, d0.loss_iou: 1.0520, d1.loss_bbox: 0.7021, d1.loss_iou: 1.0210, d2.loss_bbox: 0.6878, d2.loss_iou: 1.0027, d3.loss_bbox: 0.6781, d3.loss_iou: 0.9924, d4.loss_bbox: 0.6740, d4.loss_iou: 0.9877, loss: 13.4088, grad_norm: 14.4803 2022-10-26 20:29:46,999 - mmdet - INFO - Epoch [13][550/1849] lr: 2.000e-04, eta: 6:41:45, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2181, loss_bbox: 0.6720, loss_iou: 0.9845, d0.loss_bbox: 0.7238, d0.loss_iou: 1.0489, d1.loss_bbox: 0.6994, d1.loss_iou: 1.0188, d2.loss_bbox: 0.6854, d2.loss_iou: 1.0003, d3.loss_bbox: 0.6762, d3.loss_iou: 0.9899, d4.loss_bbox: 0.6720, d4.loss_iou: 0.9848, loss: 13.3742, grad_norm: 12.9815 2022-10-26 20:30:04,485 - mmdet - INFO - Epoch [13][600/1849] lr: 2.000e-04, eta: 6:41:29, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2229, loss_bbox: 0.6766, loss_iou: 0.9864, d0.loss_bbox: 0.7306, d0.loss_iou: 1.0527, d1.loss_bbox: 0.7050, d1.loss_iou: 1.0208, d2.loss_bbox: 0.6904, d2.loss_iou: 1.0020, d3.loss_bbox: 0.6810, d3.loss_iou: 0.9915, d4.loss_bbox: 0.6767, d4.loss_iou: 0.9865, loss: 13.4231, grad_norm: 13.3811 2022-10-26 20:30:21,736 - mmdet - INFO - Epoch [13][650/1849] lr: 2.000e-04, eta: 6:41:11, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.2191, loss_bbox: 0.6742, loss_iou: 0.9858, d0.loss_bbox: 0.7288, d0.loss_iou: 1.0529, d1.loss_bbox: 0.7022, d1.loss_iou: 1.0214, d2.loss_bbox: 0.6878, d2.loss_iou: 1.0026, d3.loss_bbox: 0.6783, d3.loss_iou: 0.9911, d4.loss_bbox: 0.6741, d4.loss_iou: 0.9859, loss: 13.4043, grad_norm: 12.0569 2022-10-26 20:30:38,945 - mmdet - INFO - Epoch [13][700/1849] lr: 2.000e-04, eta: 6:40:54, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.2132, loss_bbox: 0.6752, loss_iou: 0.9871, d0.loss_bbox: 0.7279, d0.loss_iou: 1.0523, d1.loss_bbox: 0.7031, d1.loss_iou: 1.0231, d2.loss_bbox: 0.6892, d2.loss_iou: 1.0043, d3.loss_bbox: 0.6795, d3.loss_iou: 0.9931, d4.loss_bbox: 0.6750, d4.loss_iou: 0.9874, loss: 13.4104, grad_norm: 11.9000 2022-10-26 20:30:56,280 - mmdet - INFO - Epoch [13][750/1849] lr: 2.000e-04, eta: 6:40:37, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2116, loss_bbox: 0.6748, loss_iou: 0.9910, d0.loss_bbox: 0.7271, d0.loss_iou: 1.0556, d1.loss_bbox: 0.7009, d1.loss_iou: 1.0244, d2.loss_bbox: 0.6873, d2.loss_iou: 1.0065, d3.loss_bbox: 0.6784, d3.loss_iou: 0.9954, d4.loss_bbox: 0.6750, d4.loss_iou: 0.9913, loss: 13.4194, grad_norm: 15.3357 2022-10-26 20:31:13,609 - mmdet - INFO - Epoch [13][800/1849] lr: 2.000e-04, eta: 6:40:19, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2137, loss_bbox: 0.6739, loss_iou: 0.9864, d0.loss_bbox: 0.7294, d0.loss_iou: 1.0529, d1.loss_bbox: 0.7031, d1.loss_iou: 1.0214, d2.loss_bbox: 0.6883, d2.loss_iou: 1.0029, d3.loss_bbox: 0.6782, d3.loss_iou: 0.9909, d4.loss_bbox: 0.6740, d4.loss_iou: 0.9862, loss: 13.4014, grad_norm: 15.4812 2022-10-26 20:31:31,030 - mmdet - INFO - Epoch [13][850/1849] lr: 2.000e-04, eta: 6:40:03, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2177, loss_bbox: 0.6778, loss_iou: 0.9918, d0.loss_bbox: 0.7306, d0.loss_iou: 1.0557, d1.loss_bbox: 0.7052, d1.loss_iou: 1.0263, d2.loss_bbox: 0.6915, d2.loss_iou: 1.0086, d3.loss_bbox: 0.6822, d3.loss_iou: 0.9968, d4.loss_bbox: 0.6779, d4.loss_iou: 0.9918, loss: 13.4539, grad_norm: 11.7464 2022-10-26 20:31:48,463 - mmdet - INFO - Epoch [13][900/1849] lr: 2.000e-04, eta: 6:39:46, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2236, loss_bbox: 0.6761, loss_iou: 0.9870, d0.loss_bbox: 0.7292, d0.loss_iou: 1.0541, d1.loss_bbox: 0.7030, d1.loss_iou: 1.0225, d2.loss_bbox: 0.6893, d2.loss_iou: 1.0038, d3.loss_bbox: 0.6802, d3.loss_iou: 0.9923, d4.loss_bbox: 0.6759, d4.loss_iou: 0.9871, loss: 13.4242, grad_norm: 14.1085 2022-10-26 20:32:05,834 - mmdet - INFO - Epoch [13][950/1849] lr: 2.000e-04, eta: 6:39:29, time: 0.347, data_time: 0.008, memory: 4054, loss_contrastive: 3.2228, loss_bbox: 0.6772, loss_iou: 0.9961, d0.loss_bbox: 0.7314, d0.loss_iou: 1.0606, d1.loss_bbox: 0.7050, d1.loss_iou: 1.0303, d2.loss_bbox: 0.6916, d2.loss_iou: 1.0118, d3.loss_bbox: 0.6821, d3.loss_iou: 1.0000, d4.loss_bbox: 0.6775, d4.loss_iou: 0.9955, loss: 13.4821, grad_norm: 14.8084 2022-10-26 20:32:23,489 - mmdet - INFO - Epoch [13][1000/1849] lr: 2.000e-04, eta: 6:39:12, time: 0.353, data_time: 0.009, memory: 4054, loss_contrastive: 3.2225, loss_bbox: 0.6760, loss_iou: 0.9855, d0.loss_bbox: 0.7294, d0.loss_iou: 1.0506, d1.loss_bbox: 0.7032, d1.loss_iou: 1.0218, d2.loss_bbox: 0.6894, d2.loss_iou: 1.0021, d3.loss_bbox: 0.6795, d3.loss_iou: 0.9904, d4.loss_bbox: 0.6761, d4.loss_iou: 0.9857, loss: 13.4123, grad_norm: 15.3137 2022-10-26 20:32:40,756 - mmdet - INFO - Epoch [13][1050/1849] lr: 2.000e-04, eta: 6:38:55, time: 0.345, data_time: 0.008, memory: 4054, loss_contrastive: 3.2168, loss_bbox: 0.6751, loss_iou: 0.9865, d0.loss_bbox: 0.7266, d0.loss_iou: 1.0504, d1.loss_bbox: 0.7012, d1.loss_iou: 1.0196, d2.loss_bbox: 0.6882, d2.loss_iou: 1.0018, d3.loss_bbox: 0.6792, d3.loss_iou: 0.9913, d4.loss_bbox: 0.6752, d4.loss_iou: 0.9864, loss: 13.3984, grad_norm: 12.7509 2022-10-26 20:32:58,052 - mmdet - INFO - Epoch [13][1100/1849] lr: 2.000e-04, eta: 6:38:38, time: 0.346, data_time: 0.008, memory: 4054, loss_contrastive: 3.2155, loss_bbox: 0.6729, loss_iou: 0.9862, d0.loss_bbox: 0.7268, d0.loss_iou: 1.0523, d1.loss_bbox: 0.7022, d1.loss_iou: 1.0214, d2.loss_bbox: 0.6876, d2.loss_iou: 1.0026, d3.loss_bbox: 0.6773, d3.loss_iou: 0.9908, d4.loss_bbox: 0.6729, d4.loss_iou: 0.9866, loss: 13.3951, grad_norm: 12.4958 2022-10-26 20:33:15,445 - mmdet - INFO - Epoch [13][1150/1849] lr: 2.000e-04, eta: 6:38:21, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2182, loss_bbox: 0.6765, loss_iou: 0.9915, d0.loss_bbox: 0.7301, d0.loss_iou: 1.0555, d1.loss_bbox: 0.7046, d1.loss_iou: 1.0249, d2.loss_bbox: 0.6901, d2.loss_iou: 1.0080, d3.loss_bbox: 0.6807, d3.loss_iou: 0.9969, d4.loss_bbox: 0.6766, d4.loss_iou: 0.9915, loss: 13.4451, grad_norm: 15.7757 2022-10-26 20:33:32,943 - mmdet - INFO - Epoch [13][1200/1849] lr: 2.000e-04, eta: 6:38:04, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2236, loss_bbox: 0.6743, loss_iou: 0.9826, d0.loss_bbox: 0.7280, d0.loss_iou: 1.0486, d1.loss_bbox: 0.7028, d1.loss_iou: 1.0185, d2.loss_bbox: 0.6892, d2.loss_iou: 0.9995, d3.loss_bbox: 0.6785, d3.loss_iou: 0.9881, d4.loss_bbox: 0.6745, d4.loss_iou: 0.9825, loss: 13.3908, grad_norm: 12.8802 2022-10-26 20:33:50,344 - mmdet - INFO - Epoch [13][1250/1849] lr: 2.000e-04, eta: 6:37:47, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2198, loss_bbox: 0.6717, loss_iou: 0.9808, d0.loss_bbox: 0.7259, d0.loss_iou: 1.0470, d1.loss_bbox: 0.6996, d1.loss_iou: 1.0162, d2.loss_bbox: 0.6859, d2.loss_iou: 0.9969, d3.loss_bbox: 0.6763, d3.loss_iou: 0.9856, d4.loss_bbox: 0.6720, d4.loss_iou: 0.9806, loss: 13.3584, grad_norm: 13.5665 2022-10-26 20:34:07,557 - mmdet - INFO - Epoch [13][1300/1849] lr: 2.000e-04, eta: 6:37:30, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.2122, loss_bbox: 0.6759, loss_iou: 0.9871, d0.loss_bbox: 0.7283, d0.loss_iou: 1.0527, d1.loss_bbox: 0.7035, d1.loss_iou: 1.0223, d2.loss_bbox: 0.6893, d2.loss_iou: 1.0041, d3.loss_bbox: 0.6798, d3.loss_iou: 0.9922, d4.loss_bbox: 0.6758, d4.loss_iou: 0.9873, loss: 13.4105, grad_norm: 13.2892 2022-10-26 20:34:25,366 - mmdet - INFO - Epoch [13][1350/1849] lr: 2.000e-04, eta: 6:37:14, time: 0.356, data_time: 0.009, memory: 4054, loss_contrastive: 3.2190, loss_bbox: 0.6736, loss_iou: 0.9847, d0.loss_bbox: 0.7291, d0.loss_iou: 1.0517, d1.loss_bbox: 0.7018, d1.loss_iou: 1.0215, d2.loss_bbox: 0.6876, d2.loss_iou: 1.0015, d3.loss_bbox: 0.6778, d3.loss_iou: 0.9902, d4.loss_bbox: 0.6735, d4.loss_iou: 0.9849, loss: 13.3970, grad_norm: 12.5179 2022-10-26 20:34:43,289 - mmdet - INFO - Epoch [13][1400/1849] lr: 2.000e-04, eta: 6:36:58, time: 0.358, data_time: 0.009, memory: 4054, loss_contrastive: 3.2123, loss_bbox: 0.6734, loss_iou: 0.9857, d0.loss_bbox: 0.7259, d0.loss_iou: 1.0507, d1.loss_bbox: 0.7008, d1.loss_iou: 1.0204, d2.loss_bbox: 0.6875, d2.loss_iou: 1.0027, d3.loss_bbox: 0.6778, d3.loss_iou: 0.9910, d4.loss_bbox: 0.6735, d4.loss_iou: 0.9861, loss: 13.3878, grad_norm: 12.6556 2022-10-26 20:35:00,804 - mmdet - INFO - Epoch [13][1450/1849] lr: 2.000e-04, eta: 6:36:42, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2108, loss_bbox: 0.6747, loss_iou: 0.9862, d0.loss_bbox: 0.7279, d0.loss_iou: 1.0513, d1.loss_bbox: 0.7021, d1.loss_iou: 1.0201, d2.loss_bbox: 0.6891, d2.loss_iou: 1.0024, d3.loss_bbox: 0.6795, d3.loss_iou: 0.9911, d4.loss_bbox: 0.6752, d4.loss_iou: 0.9863, loss: 13.3967, grad_norm: 14.5483 2022-10-26 20:35:18,399 - mmdet - INFO - Epoch [13][1500/1849] lr: 2.000e-04, eta: 6:36:25, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2127, loss_bbox: 0.6728, loss_iou: 0.9859, d0.loss_bbox: 0.7265, d0.loss_iou: 1.0531, d1.loss_bbox: 0.7012, d1.loss_iou: 1.0227, d2.loss_bbox: 0.6877, d2.loss_iou: 1.0031, d3.loss_bbox: 0.6770, d3.loss_iou: 0.9906, d4.loss_bbox: 0.6729, d4.loss_iou: 0.9858, loss: 13.3921, grad_norm: 14.2898 2022-10-26 20:35:36,264 - mmdet - INFO - Epoch [13][1550/1849] lr: 2.000e-04, eta: 6:36:10, time: 0.357, data_time: 0.009, memory: 4054, loss_contrastive: 3.2102, loss_bbox: 0.6718, loss_iou: 0.9846, d0.loss_bbox: 0.7250, d0.loss_iou: 1.0498, d1.loss_bbox: 0.7011, d1.loss_iou: 1.0208, d2.loss_bbox: 0.6870, d2.loss_iou: 1.0005, d3.loss_bbox: 0.6764, d3.loss_iou: 0.9897, d4.loss_bbox: 0.6723, d4.loss_iou: 0.9845, loss: 13.3738, grad_norm: 13.6097 2022-10-26 20:35:53,693 - mmdet - INFO - Epoch [13][1600/1849] lr: 2.000e-04, eta: 6:35:53, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2084, loss_bbox: 0.6732, loss_iou: 0.9852, d0.loss_bbox: 0.7266, d0.loss_iou: 1.0491, d1.loss_bbox: 0.7012, d1.loss_iou: 1.0200, d2.loss_bbox: 0.6876, d2.loss_iou: 1.0011, d3.loss_bbox: 0.6770, d3.loss_iou: 0.9896, d4.loss_bbox: 0.6735, d4.loss_iou: 0.9854, loss: 13.3778, grad_norm: 14.2972 2022-10-26 20:36:11,540 - mmdet - INFO - Epoch [13][1650/1849] lr: 2.000e-04, eta: 6:35:37, time: 0.357, data_time: 0.009, memory: 4054, loss_contrastive: 3.2093, loss_bbox: 0.6689, loss_iou: 0.9814, d0.loss_bbox: 0.7218, d0.loss_iou: 1.0484, d1.loss_bbox: 0.6972, d1.loss_iou: 1.0185, d2.loss_bbox: 0.6834, d2.loss_iou: 0.9986, d3.loss_bbox: 0.6733, d3.loss_iou: 0.9870, d4.loss_bbox: 0.6687, d4.loss_iou: 0.9818, loss: 13.3383, grad_norm: 13.8182 2022-10-26 20:36:28,991 - mmdet - INFO - Epoch [13][1700/1849] lr: 2.000e-04, eta: 6:35:20, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2094, loss_bbox: 0.6722, loss_iou: 0.9842, d0.loss_bbox: 0.7252, d0.loss_iou: 1.0502, d1.loss_bbox: 0.6999, d1.loss_iou: 1.0187, d2.loss_bbox: 0.6867, d2.loss_iou: 1.0000, d3.loss_bbox: 0.6767, d3.loss_iou: 0.9886, d4.loss_bbox: 0.6720, d4.loss_iou: 0.9845, loss: 13.3685, grad_norm: 14.7563 2022-10-26 20:36:46,091 - mmdet - INFO - Epoch [13][1750/1849] lr: 2.000e-04, eta: 6:35:02, time: 0.342, data_time: 0.009, memory: 4054, loss_contrastive: 3.2135, loss_bbox: 0.6750, loss_iou: 0.9861, d0.loss_bbox: 0.7298, d0.loss_iou: 1.0526, d1.loss_bbox: 0.7035, d1.loss_iou: 1.0219, d2.loss_bbox: 0.6887, d2.loss_iou: 1.0030, d3.loss_bbox: 0.6792, d3.loss_iou: 0.9914, d4.loss_bbox: 0.6751, d4.loss_iou: 0.9858, loss: 13.4056, grad_norm: 12.6422 2022-10-26 20:37:03,564 - mmdet - INFO - Epoch [13][1800/1849] lr: 2.000e-04, eta: 6:34:46, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2136, loss_bbox: 0.6737, loss_iou: 0.9851, d0.loss_bbox: 0.7267, d0.loss_iou: 1.0504, d1.loss_bbox: 0.7022, d1.loss_iou: 1.0200, d2.loss_bbox: 0.6874, d2.loss_iou: 1.0014, d3.loss_bbox: 0.6778, d3.loss_iou: 0.9906, d4.loss_bbox: 0.6739, d4.loss_iou: 0.9854, loss: 13.3883, grad_norm: 12.7516 2022-10-26 20:37:20,799 - mmdet - INFO - Saving checkpoint at 13 epochs 2022-10-26 20:37:42,768 - mmdet - INFO - Epoch [14][50/1849] lr: 2.000e-04, eta: 6:33:33, time: 0.415, data_time: 0.070, memory: 4054, loss_contrastive: 3.2167, loss_bbox: 0.6710, loss_iou: 0.9882, d0.loss_bbox: 0.7240, d0.loss_iou: 1.0539, d1.loss_bbox: 0.6993, d1.loss_iou: 1.0231, d2.loss_bbox: 0.6859, d2.loss_iou: 1.0041, d3.loss_bbox: 0.6754, d3.loss_iou: 0.9932, d4.loss_bbox: 0.6713, d4.loss_iou: 0.9880, loss: 13.3939, grad_norm: 12.2272 2022-10-26 20:38:00,234 - mmdet - INFO - Epoch [14][100/1849] lr: 2.000e-04, eta: 6:33:16, time: 0.349, data_time: 0.008, memory: 4054, loss_contrastive: 3.2115, loss_bbox: 0.6736, loss_iou: 0.9836, d0.loss_bbox: 0.7264, d0.loss_iou: 1.0483, d1.loss_bbox: 0.7012, d1.loss_iou: 1.0167, d2.loss_bbox: 0.6872, d2.loss_iou: 0.9993, d3.loss_bbox: 0.6781, d3.loss_iou: 0.9883, d4.loss_bbox: 0.6733, d4.loss_iou: 0.9839, loss: 13.3714, grad_norm: 14.3893 2022-10-26 20:38:18,024 - mmdet - INFO - Epoch [14][150/1849] lr: 2.000e-04, eta: 6:33:00, time: 0.356, data_time: 0.009, memory: 4054, loss_contrastive: 3.2083, loss_bbox: 0.6684, loss_iou: 0.9857, d0.loss_bbox: 0.7209, d0.loss_iou: 1.0514, d1.loss_bbox: 0.6964, d1.loss_iou: 1.0214, d2.loss_bbox: 0.6830, d2.loss_iou: 1.0024, d3.loss_bbox: 0.6729, d3.loss_iou: 0.9906, d4.loss_bbox: 0.6689, d4.loss_iou: 0.9855, loss: 13.3559, grad_norm: 14.2937 2022-10-26 20:38:35,396 - mmdet - INFO - Epoch [14][200/1849] lr: 2.000e-04, eta: 6:32:43, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2220, loss_bbox: 0.6728, loss_iou: 0.9850, d0.loss_bbox: 0.7258, d0.loss_iou: 1.0509, d1.loss_bbox: 0.7012, d1.loss_iou: 1.0197, d2.loss_bbox: 0.6867, d2.loss_iou: 1.0018, d3.loss_bbox: 0.6774, d3.loss_iou: 0.9902, d4.loss_bbox: 0.6728, d4.loss_iou: 0.9850, loss: 13.3912, grad_norm: 15.1487 2022-10-26 20:38:52,951 - mmdet - INFO - Epoch [14][250/1849] lr: 2.000e-04, eta: 6:32:27, time: 0.351, data_time: 0.008, memory: 4054, loss_contrastive: 3.2131, loss_bbox: 0.6702, loss_iou: 0.9804, d0.loss_bbox: 0.7234, d0.loss_iou: 1.0478, d1.loss_bbox: 0.6976, d1.loss_iou: 1.0161, d2.loss_bbox: 0.6838, d2.loss_iou: 0.9968, d3.loss_bbox: 0.6736, d3.loss_iou: 0.9854, d4.loss_bbox: 0.6705, d4.loss_iou: 0.9801, loss: 13.3389, grad_norm: 14.3088 2022-10-26 20:39:10,192 - mmdet - INFO - Epoch [14][300/1849] lr: 2.000e-04, eta: 6:32:10, time: 0.345, data_time: 0.008, memory: 4054, loss_contrastive: 3.2075, loss_bbox: 0.6694, loss_iou: 0.9827, d0.loss_bbox: 0.7223, d0.loss_iou: 1.0490, d1.loss_bbox: 0.6960, d1.loss_iou: 1.0176, d2.loss_bbox: 0.6829, d2.loss_iou: 0.9992, d3.loss_bbox: 0.6739, d3.loss_iou: 0.9873, d4.loss_bbox: 0.6694, d4.loss_iou: 0.9830, loss: 13.3402, grad_norm: 13.8781 2022-10-26 20:39:27,597 - mmdet - INFO - Epoch [14][350/1849] lr: 2.000e-04, eta: 6:31:53, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2091, loss_bbox: 0.6733, loss_iou: 0.9813, d0.loss_bbox: 0.7268, d0.loss_iou: 1.0477, d1.loss_bbox: 0.7017, d1.loss_iou: 1.0170, d2.loss_bbox: 0.6867, d2.loss_iou: 0.9977, d3.loss_bbox: 0.6780, d3.loss_iou: 0.9865, d4.loss_bbox: 0.6736, d4.loss_iou: 0.9814, loss: 13.3609, grad_norm: 17.4910 2022-10-26 20:39:45,163 - mmdet - INFO - Epoch [14][400/1849] lr: 2.000e-04, eta: 6:31:36, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2110, loss_bbox: 0.6720, loss_iou: 0.9818, d0.loss_bbox: 0.7251, d0.loss_iou: 1.0474, d1.loss_bbox: 0.7002, d1.loss_iou: 1.0168, d2.loss_bbox: 0.6853, d2.loss_iou: 0.9986, d3.loss_bbox: 0.6760, d3.loss_iou: 0.9868, d4.loss_bbox: 0.6722, d4.loss_iou: 0.9815, loss: 13.3546, grad_norm: 13.0547 2022-10-26 20:40:02,380 - mmdet - INFO - Epoch [14][450/1849] lr: 2.000e-04, eta: 6:31:19, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.2084, loss_bbox: 0.6706, loss_iou: 0.9836, d0.loss_bbox: 0.7246, d0.loss_iou: 1.0487, d1.loss_bbox: 0.6984, d1.loss_iou: 1.0195, d2.loss_bbox: 0.6843, d2.loss_iou: 0.9997, d3.loss_bbox: 0.6749, d3.loss_iou: 0.9886, d4.loss_bbox: 0.6708, d4.loss_iou: 0.9833, loss: 13.3553, grad_norm: 13.8691 2022-10-26 20:40:19,757 - mmdet - INFO - Epoch [14][500/1849] lr: 2.000e-04, eta: 6:31:02, time: 0.348, data_time: 0.008, memory: 4054, loss_contrastive: 3.2128, loss_bbox: 0.6733, loss_iou: 0.9813, d0.loss_bbox: 0.7257, d0.loss_iou: 1.0469, d1.loss_bbox: 0.7010, d1.loss_iou: 1.0166, d2.loss_bbox: 0.6867, d2.loss_iou: 0.9983, d3.loss_bbox: 0.6769, d3.loss_iou: 0.9863, d4.loss_bbox: 0.6735, d4.loss_iou: 0.9813, loss: 13.3605, grad_norm: 14.0015 2022-10-26 20:40:37,356 - mmdet - INFO - Epoch [14][550/1849] lr: 2.000e-04, eta: 6:30:45, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2080, loss_bbox: 0.6715, loss_iou: 0.9816, d0.loss_bbox: 0.7252, d0.loss_iou: 1.0482, d1.loss_bbox: 0.7001, d1.loss_iou: 1.0182, d2.loss_bbox: 0.6858, d2.loss_iou: 0.9983, d3.loss_bbox: 0.6758, d3.loss_iou: 0.9864, d4.loss_bbox: 0.6715, d4.loss_iou: 0.9819, loss: 13.3523, grad_norm: 13.2040 2022-10-26 20:40:54,701 - mmdet - INFO - Epoch [14][600/1849] lr: 2.000e-04, eta: 6:30:28, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2175, loss_bbox: 0.6713, loss_iou: 0.9860, d0.loss_bbox: 0.7251, d0.loss_iou: 1.0533, d1.loss_bbox: 0.7001, d1.loss_iou: 1.0208, d2.loss_bbox: 0.6858, d2.loss_iou: 1.0026, d3.loss_bbox: 0.6761, d3.loss_iou: 0.9916, d4.loss_bbox: 0.6713, d4.loss_iou: 0.9861, loss: 13.3875, grad_norm: 16.2222 2022-10-26 20:41:11,933 - mmdet - INFO - Epoch [14][650/1849] lr: 2.000e-04, eta: 6:30:11, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.2100, loss_bbox: 0.6735, loss_iou: 0.9854, d0.loss_bbox: 0.7260, d0.loss_iou: 1.0526, d1.loss_bbox: 0.7016, d1.loss_iou: 1.0216, d2.loss_bbox: 0.6884, d2.loss_iou: 1.0021, d3.loss_bbox: 0.6780, d3.loss_iou: 0.9904, d4.loss_bbox: 0.6738, d4.loss_iou: 0.9851, loss: 13.3884, grad_norm: 13.4244 2022-10-26 20:41:29,298 - mmdet - INFO - Epoch [14][700/1849] lr: 2.000e-04, eta: 6:29:54, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2059, loss_bbox: 0.6689, loss_iou: 0.9822, d0.loss_bbox: 0.7232, d0.loss_iou: 1.0487, d1.loss_bbox: 0.6980, d1.loss_iou: 1.0181, d2.loss_bbox: 0.6830, d2.loss_iou: 0.9995, d3.loss_bbox: 0.6732, d3.loss_iou: 0.9873, d4.loss_bbox: 0.6687, d4.loss_iou: 0.9825, loss: 13.3393, grad_norm: 13.4285 2022-10-26 20:41:46,545 - mmdet - INFO - Epoch [14][750/1849] lr: 2.000e-04, eta: 6:29:37, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.2099, loss_bbox: 0.6730, loss_iou: 0.9877, d0.loss_bbox: 0.7259, d0.loss_iou: 1.0544, d1.loss_bbox: 0.7020, d1.loss_iou: 1.0228, d2.loss_bbox: 0.6873, d2.loss_iou: 1.0046, d3.loss_bbox: 0.6775, d3.loss_iou: 0.9931, d4.loss_bbox: 0.6733, d4.loss_iou: 0.9876, loss: 13.3990, grad_norm: 12.6041 2022-10-26 20:42:04,170 - mmdet - INFO - Epoch [14][800/1849] lr: 2.000e-04, eta: 6:29:20, time: 0.353, data_time: 0.009, memory: 4054, loss_contrastive: 3.2107, loss_bbox: 0.6738, loss_iou: 0.9830, d0.loss_bbox: 0.7271, d0.loss_iou: 1.0489, d1.loss_bbox: 0.7022, d1.loss_iou: 1.0181, d2.loss_bbox: 0.6880, d2.loss_iou: 0.9997, d3.loss_bbox: 0.6789, d3.loss_iou: 0.9877, d4.loss_bbox: 0.6741, d4.loss_iou: 0.9829, loss: 13.3750, grad_norm: 14.5261 2022-10-26 20:42:21,690 - mmdet - INFO - Epoch [14][850/1849] lr: 2.000e-04, eta: 6:29:04, time: 0.350, data_time: 0.008, memory: 4054, loss_contrastive: 3.2071, loss_bbox: 0.6721, loss_iou: 0.9828, d0.loss_bbox: 0.7252, d0.loss_iou: 1.0487, d1.loss_bbox: 0.6986, d1.loss_iou: 1.0178, d2.loss_bbox: 0.6857, d2.loss_iou: 0.9986, d3.loss_bbox: 0.6765, d3.loss_iou: 0.9873, d4.loss_bbox: 0.6723, d4.loss_iou: 0.9827, loss: 13.3554, grad_norm: 14.0689 2022-10-26 20:42:39,060 - mmdet - INFO - Epoch [14][900/1849] lr: 2.000e-04, eta: 6:28:47, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2070, loss_bbox: 0.6733, loss_iou: 0.9870, d0.loss_bbox: 0.7269, d0.loss_iou: 1.0527, d1.loss_bbox: 0.7014, d1.loss_iou: 1.0217, d2.loss_bbox: 0.6871, d2.loss_iou: 1.0041, d3.loss_bbox: 0.6778, d3.loss_iou: 0.9916, d4.loss_bbox: 0.6736, d4.loss_iou: 0.9871, loss: 13.3916, grad_norm: 12.7637 2022-10-26 20:42:56,440 - mmdet - INFO - Epoch [14][950/1849] lr: 2.000e-04, eta: 6:28:30, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2020, loss_bbox: 0.6703, loss_iou: 0.9858, d0.loss_bbox: 0.7250, d0.loss_iou: 1.0548, d1.loss_bbox: 0.6984, d1.loss_iou: 1.0226, d2.loss_bbox: 0.6843, d2.loss_iou: 1.0028, d3.loss_bbox: 0.6749, d3.loss_iou: 0.9914, d4.loss_bbox: 0.6705, d4.loss_iou: 0.9858, loss: 13.3686, grad_norm: 14.5348 2022-10-26 20:43:13,838 - mmdet - INFO - Epoch [14][1000/1849] lr: 2.000e-04, eta: 6:28:13, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2115, loss_bbox: 0.6686, loss_iou: 0.9805, d0.loss_bbox: 0.7219, d0.loss_iou: 1.0463, d1.loss_bbox: 0.6969, d1.loss_iou: 1.0152, d2.loss_bbox: 0.6830, d2.loss_iou: 0.9970, d3.loss_bbox: 0.6733, d3.loss_iou: 0.9855, d4.loss_bbox: 0.6689, d4.loss_iou: 0.9805, loss: 13.3292, grad_norm: 14.8749 2022-10-26 20:43:31,304 - mmdet - INFO - Epoch [14][1050/1849] lr: 2.000e-04, eta: 6:27:56, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2078, loss_bbox: 0.6734, loss_iou: 0.9805, d0.loss_bbox: 0.7278, d0.loss_iou: 1.0485, d1.loss_bbox: 0.7020, d1.loss_iou: 1.0159, d2.loss_bbox: 0.6881, d2.loss_iou: 0.9968, d3.loss_bbox: 0.6779, d3.loss_iou: 0.9859, d4.loss_bbox: 0.6735, d4.loss_iou: 0.9809, loss: 13.3588, grad_norm: 15.4113 2022-10-26 20:43:48,563 - mmdet - INFO - Epoch [14][1100/1849] lr: 2.000e-04, eta: 6:27:39, time: 0.345, data_time: 0.008, memory: 4054, loss_contrastive: 3.2108, loss_bbox: 0.6668, loss_iou: 0.9826, d0.loss_bbox: 0.7219, d0.loss_iou: 1.0503, d1.loss_bbox: 0.6960, d1.loss_iou: 1.0195, d2.loss_bbox: 0.6815, d2.loss_iou: 1.0011, d3.loss_bbox: 0.6716, d3.loss_iou: 0.9881, d4.loss_bbox: 0.6673, d4.loss_iou: 0.9827, loss: 13.3402, grad_norm: 15.0168 2022-10-26 20:44:06,052 - mmdet - INFO - Epoch [14][1150/1849] lr: 2.000e-04, eta: 6:27:22, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2121, loss_bbox: 0.6711, loss_iou: 0.9800, d0.loss_bbox: 0.7224, d0.loss_iou: 1.0467, d1.loss_bbox: 0.6982, d1.loss_iou: 1.0152, d2.loss_bbox: 0.6846, d2.loss_iou: 0.9970, d3.loss_bbox: 0.6750, d3.loss_iou: 0.9854, d4.loss_bbox: 0.6712, d4.loss_iou: 0.9802, loss: 13.3391, grad_norm: 16.2770 2022-10-26 20:44:23,536 - mmdet - INFO - Epoch [14][1200/1849] lr: 2.000e-04, eta: 6:27:05, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2100, loss_bbox: 0.6733, loss_iou: 0.9831, d0.loss_bbox: 0.7260, d0.loss_iou: 1.0489, d1.loss_bbox: 0.7010, d1.loss_iou: 1.0184, d2.loss_bbox: 0.6870, d2.loss_iou: 0.9993, d3.loss_bbox: 0.6778, d3.loss_iou: 0.9884, d4.loss_bbox: 0.6739, d4.loss_iou: 0.9828, loss: 13.3699, grad_norm: 13.7365 2022-10-26 20:44:40,817 - mmdet - INFO - Epoch [14][1250/1849] lr: 2.000e-04, eta: 6:26:48, time: 0.346, data_time: 0.008, memory: 4054, loss_contrastive: 3.2026, loss_bbox: 0.6713, loss_iou: 0.9832, d0.loss_bbox: 0.7267, d0.loss_iou: 1.0495, d1.loss_bbox: 0.7010, d1.loss_iou: 1.0188, d2.loss_bbox: 0.6864, d2.loss_iou: 0.9996, d3.loss_bbox: 0.6762, d3.loss_iou: 0.9880, d4.loss_bbox: 0.6714, d4.loss_iou: 0.9834, loss: 13.3582, grad_norm: 13.3646 2022-10-26 20:44:58,060 - mmdet - INFO - Epoch [14][1300/1849] lr: 2.000e-04, eta: 6:26:31, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.2091, loss_bbox: 0.6721, loss_iou: 0.9862, d0.loss_bbox: 0.7251, d0.loss_iou: 1.0531, d1.loss_bbox: 0.6998, d1.loss_iou: 1.0214, d2.loss_bbox: 0.6855, d2.loss_iou: 1.0028, d3.loss_bbox: 0.6769, d3.loss_iou: 0.9918, d4.loss_bbox: 0.6725, d4.loss_iou: 0.9862, loss: 13.3826, grad_norm: 13.3392 2022-10-26 20:45:15,420 - mmdet - INFO - Epoch [14][1350/1849] lr: 2.000e-04, eta: 6:26:14, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2046, loss_bbox: 0.6699, loss_iou: 0.9830, d0.loss_bbox: 0.7243, d0.loss_iou: 1.0482, d1.loss_bbox: 0.6981, d1.loss_iou: 1.0183, d2.loss_bbox: 0.6840, d2.loss_iou: 0.9992, d3.loss_bbox: 0.6746, d3.loss_iou: 0.9884, d4.loss_bbox: 0.6702, d4.loss_iou: 0.9833, loss: 13.3463, grad_norm: 14.5060 2022-10-26 20:45:32,745 - mmdet - INFO - Epoch [14][1400/1849] lr: 2.000e-04, eta: 6:25:56, time: 0.346, data_time: 0.008, memory: 4054, loss_contrastive: 3.2033, loss_bbox: 0.6691, loss_iou: 0.9797, d0.loss_bbox: 0.7225, d0.loss_iou: 1.0462, d1.loss_bbox: 0.6964, d1.loss_iou: 1.0145, d2.loss_bbox: 0.6827, d2.loss_iou: 0.9960, d3.loss_bbox: 0.6731, d3.loss_iou: 0.9847, d4.loss_bbox: 0.6693, d4.loss_iou: 0.9797, loss: 13.3172, grad_norm: 12.8567 2022-10-26 20:45:50,121 - mmdet - INFO - Epoch [14][1450/1849] lr: 2.000e-04, eta: 6:25:39, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2085, loss_bbox: 0.6749, loss_iou: 0.9807, d0.loss_bbox: 0.7295, d0.loss_iou: 1.0475, d1.loss_bbox: 0.7027, d1.loss_iou: 1.0176, d2.loss_bbox: 0.6895, d2.loss_iou: 0.9983, d3.loss_bbox: 0.6795, d3.loss_iou: 0.9868, d4.loss_bbox: 0.6751, d4.loss_iou: 0.9810, loss: 13.3716, grad_norm: 12.9648 2022-10-26 20:46:07,342 - mmdet - INFO - Epoch [14][1500/1849] lr: 2.000e-04, eta: 6:25:22, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.2046, loss_bbox: 0.6702, loss_iou: 0.9790, d0.loss_bbox: 0.7241, d0.loss_iou: 1.0439, d1.loss_bbox: 0.6985, d1.loss_iou: 1.0128, d2.loss_bbox: 0.6852, d2.loss_iou: 0.9952, d3.loss_bbox: 0.6750, d3.loss_iou: 0.9835, d4.loss_bbox: 0.6703, d4.loss_iou: 0.9788, loss: 13.3212, grad_norm: 13.6678 2022-10-26 20:46:24,575 - mmdet - INFO - Epoch [14][1550/1849] lr: 2.000e-04, eta: 6:25:05, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.2102, loss_bbox: 0.6703, loss_iou: 0.9829, d0.loss_bbox: 0.7232, d0.loss_iou: 1.0491, d1.loss_bbox: 0.6985, d1.loss_iou: 1.0181, d2.loss_bbox: 0.6847, d2.loss_iou: 0.9996, d3.loss_bbox: 0.6749, d3.loss_iou: 0.9883, d4.loss_bbox: 0.6704, d4.loss_iou: 0.9827, loss: 13.3530, grad_norm: 13.2547 2022-10-26 20:46:41,768 - mmdet - INFO - Epoch [14][1600/1849] lr: 2.000e-04, eta: 6:24:47, time: 0.344, data_time: 0.008, memory: 4054, loss_contrastive: 3.2077, loss_bbox: 0.6698, loss_iou: 0.9840, d0.loss_bbox: 0.7238, d0.loss_iou: 1.0493, d1.loss_bbox: 0.6986, d1.loss_iou: 1.0190, d2.loss_bbox: 0.6847, d2.loss_iou: 1.0004, d3.loss_bbox: 0.6746, d3.loss_iou: 0.9891, d4.loss_bbox: 0.6700, d4.loss_iou: 0.9842, loss: 13.3549, grad_norm: 13.3745 2022-10-26 20:46:58,962 - mmdet - INFO - Epoch [14][1650/1849] lr: 2.000e-04, eta: 6:24:30, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.2029, loss_bbox: 0.6718, loss_iou: 0.9834, d0.loss_bbox: 0.7252, d0.loss_iou: 1.0486, d1.loss_bbox: 0.6998, d1.loss_iou: 1.0185, d2.loss_bbox: 0.6871, d2.loss_iou: 0.9992, d3.loss_bbox: 0.6766, d3.loss_iou: 0.9887, d4.loss_bbox: 0.6721, d4.loss_iou: 0.9836, loss: 13.3576, grad_norm: 12.5006 2022-10-26 20:47:16,259 - mmdet - INFO - Epoch [14][1700/1849] lr: 2.000e-04, eta: 6:24:12, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2022, loss_bbox: 0.6721, loss_iou: 0.9808, d0.loss_bbox: 0.7250, d0.loss_iou: 1.0466, d1.loss_bbox: 0.7006, d1.loss_iou: 1.0166, d2.loss_bbox: 0.6862, d2.loss_iou: 0.9970, d3.loss_bbox: 0.6767, d3.loss_iou: 0.9857, d4.loss_bbox: 0.6725, d4.loss_iou: 0.9808, loss: 13.3430, grad_norm: 13.1373 2022-10-26 20:47:33,585 - mmdet - INFO - Epoch [14][1750/1849] lr: 2.000e-04, eta: 6:23:55, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2066, loss_bbox: 0.6695, loss_iou: 0.9789, d0.loss_bbox: 0.7225, d0.loss_iou: 1.0438, d1.loss_bbox: 0.6978, d1.loss_iou: 1.0142, d2.loss_bbox: 0.6831, d2.loss_iou: 0.9954, d3.loss_bbox: 0.6739, d3.loss_iou: 0.9839, d4.loss_bbox: 0.6695, d4.loss_iou: 0.9788, loss: 13.3181, grad_norm: 14.3218 2022-10-26 20:47:51,121 - mmdet - INFO - Epoch [14][1800/1849] lr: 2.000e-04, eta: 6:23:39, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2099, loss_bbox: 0.6721, loss_iou: 0.9819, d0.loss_bbox: 0.7268, d0.loss_iou: 1.0487, d1.loss_bbox: 0.7001, d1.loss_iou: 1.0172, d2.loss_bbox: 0.6864, d2.loss_iou: 0.9987, d3.loss_bbox: 0.6767, d3.loss_iou: 0.9869, d4.loss_bbox: 0.6724, d4.loss_iou: 0.9819, loss: 13.3595, grad_norm: 13.2431 2022-10-26 20:48:08,366 - mmdet - INFO - Saving checkpoint at 14 epochs 2022-10-26 20:48:30,278 - mmdet - INFO - Epoch [15][50/1849] lr: 2.000e-04, eta: 6:22:30, time: 0.414, data_time: 0.069, memory: 4054, loss_contrastive: 3.2071, loss_bbox: 0.6720, loss_iou: 0.9845, d0.loss_bbox: 0.7256, d0.loss_iou: 1.0504, d1.loss_bbox: 0.7002, d1.loss_iou: 1.0193, d2.loss_bbox: 0.6862, d2.loss_iou: 1.0015, d3.loss_bbox: 0.6763, d3.loss_iou: 0.9897, d4.loss_bbox: 0.6722, d4.loss_iou: 0.9847, loss: 13.3698, grad_norm: 14.2226 2022-10-26 20:48:47,849 - mmdet - INFO - Epoch [15][100/1849] lr: 2.000e-04, eta: 6:22:13, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2036, loss_bbox: 0.6697, loss_iou: 0.9776, d0.loss_bbox: 0.7240, d0.loss_iou: 1.0437, d1.loss_bbox: 0.6985, d1.loss_iou: 1.0137, d2.loss_bbox: 0.6836, d2.loss_iou: 0.9945, d3.loss_bbox: 0.6740, d3.loss_iou: 0.9833, d4.loss_bbox: 0.6700, d4.loss_iou: 0.9776, loss: 13.3139, grad_norm: 13.8488 2022-10-26 20:49:05,188 - mmdet - INFO - Epoch [15][150/1849] lr: 2.000e-04, eta: 6:21:56, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2058, loss_bbox: 0.6709, loss_iou: 0.9788, d0.loss_bbox: 0.7252, d0.loss_iou: 1.0470, d1.loss_bbox: 0.6989, d1.loss_iou: 1.0154, d2.loss_bbox: 0.6846, d2.loss_iou: 0.9961, d3.loss_bbox: 0.6747, d3.loss_iou: 0.9840, d4.loss_bbox: 0.6710, d4.loss_iou: 0.9787, loss: 13.3310, grad_norm: 12.7385 2022-10-26 20:49:22,646 - mmdet - INFO - Epoch [15][200/1849] lr: 2.000e-04, eta: 6:21:39, time: 0.349, data_time: 0.008, memory: 4054, loss_contrastive: 3.2092, loss_bbox: 0.6669, loss_iou: 0.9825, d0.loss_bbox: 0.7209, d0.loss_iou: 1.0498, d1.loss_bbox: 0.6957, d1.loss_iou: 1.0185, d2.loss_bbox: 0.6816, d2.loss_iou: 0.9996, d3.loss_bbox: 0.6720, d3.loss_iou: 0.9880, d4.loss_bbox: 0.6676, d4.loss_iou: 0.9827, loss: 13.3350, grad_norm: 15.7516 2022-10-26 20:49:39,989 - mmdet - INFO - Epoch [15][250/1849] lr: 2.000e-04, eta: 6:21:22, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.1982, loss_bbox: 0.6684, loss_iou: 0.9785, d0.loss_bbox: 0.7228, d0.loss_iou: 1.0430, d1.loss_bbox: 0.6972, d1.loss_iou: 1.0133, d2.loss_bbox: 0.6829, d2.loss_iou: 0.9946, d3.loss_bbox: 0.6725, d3.loss_iou: 0.9837, d4.loss_bbox: 0.6684, d4.loss_iou: 0.9785, loss: 13.3019, grad_norm: 12.9418 2022-10-26 20:49:57,303 - mmdet - INFO - Epoch [15][300/1849] lr: 2.000e-04, eta: 6:21:05, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2001, loss_bbox: 0.6689, loss_iou: 0.9785, d0.loss_bbox: 0.7232, d0.loss_iou: 1.0460, d1.loss_bbox: 0.6981, d1.loss_iou: 1.0147, d2.loss_bbox: 0.6835, d2.loss_iou: 0.9954, d3.loss_bbox: 0.6733, d3.loss_iou: 0.9838, d4.loss_bbox: 0.6690, d4.loss_iou: 0.9787, loss: 13.3134, grad_norm: 13.6628 2022-10-26 20:50:14,733 - mmdet - INFO - Epoch [15][350/1849] lr: 2.000e-04, eta: 6:20:49, time: 0.349, data_time: 0.008, memory: 4054, loss_contrastive: 3.2204, loss_bbox: 0.6708, loss_iou: 0.9814, d0.loss_bbox: 0.7245, d0.loss_iou: 1.0471, d1.loss_bbox: 0.6991, d1.loss_iou: 1.0166, d2.loss_bbox: 0.6856, d2.loss_iou: 0.9971, d3.loss_bbox: 0.6756, d3.loss_iou: 0.9864, d4.loss_bbox: 0.6709, d4.loss_iou: 0.9815, loss: 13.3572, grad_norm: 14.1733 2022-10-26 20:50:32,269 - mmdet - INFO - Epoch [15][400/1849] lr: 2.000e-04, eta: 6:20:32, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2046, loss_bbox: 0.6683, loss_iou: 0.9815, d0.loss_bbox: 0.7218, d0.loss_iou: 1.0476, d1.loss_bbox: 0.6966, d1.loss_iou: 1.0174, d2.loss_bbox: 0.6825, d2.loss_iou: 0.9985, d3.loss_bbox: 0.6724, d3.loss_iou: 0.9872, d4.loss_bbox: 0.6685, d4.loss_iou: 0.9818, loss: 13.3287, grad_norm: 13.3090 2022-10-26 20:50:49,624 - mmdet - INFO - Epoch [15][450/1849] lr: 2.000e-04, eta: 6:20:15, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.1980, loss_bbox: 0.6669, loss_iou: 0.9811, d0.loss_bbox: 0.7201, d0.loss_iou: 1.0488, d1.loss_bbox: 0.6952, d1.loss_iou: 1.0181, d2.loss_bbox: 0.6817, d2.loss_iou: 0.9982, d3.loss_bbox: 0.6709, d3.loss_iou: 0.9875, d4.loss_bbox: 0.6670, d4.loss_iou: 0.9814, loss: 13.3148, grad_norm: 13.6916 2022-10-26 20:51:06,869 - mmdet - INFO - Epoch [15][500/1849] lr: 2.000e-04, eta: 6:19:58, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.2102, loss_bbox: 0.6675, loss_iou: 0.9822, d0.loss_bbox: 0.7213, d0.loss_iou: 1.0485, d1.loss_bbox: 0.6952, d1.loss_iou: 1.0187, d2.loss_bbox: 0.6820, d2.loss_iou: 0.9986, d3.loss_bbox: 0.6718, d3.loss_iou: 0.9873, d4.loss_bbox: 0.6678, d4.loss_iou: 0.9821, loss: 13.3332, grad_norm: 14.1074 2022-10-26 20:51:24,149 - mmdet - INFO - Epoch [15][550/1849] lr: 2.000e-04, eta: 6:19:40, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.1968, loss_bbox: 0.6699, loss_iou: 0.9854, d0.loss_bbox: 0.7242, d0.loss_iou: 1.0513, d1.loss_bbox: 0.6983, d1.loss_iou: 1.0199, d2.loss_bbox: 0.6841, d2.loss_iou: 1.0019, d3.loss_bbox: 0.6744, d3.loss_iou: 0.9905, d4.loss_bbox: 0.6702, d4.loss_iou: 0.9854, loss: 13.3523, grad_norm: 14.7346 2022-10-26 20:51:41,674 - mmdet - INFO - Epoch [15][600/1849] lr: 2.000e-04, eta: 6:19:24, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.2023, loss_bbox: 0.6698, loss_iou: 0.9805, d0.loss_bbox: 0.7223, d0.loss_iou: 1.0446, d1.loss_bbox: 0.6968, d1.loss_iou: 1.0144, d2.loss_bbox: 0.6840, d2.loss_iou: 0.9959, d3.loss_bbox: 0.6747, d3.loss_iou: 0.9855, d4.loss_bbox: 0.6701, d4.loss_iou: 0.9804, loss: 13.3212, grad_norm: 16.9870 2022-10-26 20:51:58,998 - mmdet - INFO - Epoch [15][650/1849] lr: 2.000e-04, eta: 6:19:07, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2017, loss_bbox: 0.6707, loss_iou: 0.9796, d0.loss_bbox: 0.7251, d0.loss_iou: 1.0482, d1.loss_bbox: 0.6992, d1.loss_iou: 1.0150, d2.loss_bbox: 0.6854, d2.loss_iou: 0.9967, d3.loss_bbox: 0.6758, d3.loss_iou: 0.9849, d4.loss_bbox: 0.6711, d4.loss_iou: 0.9799, loss: 13.3332, grad_norm: 12.6022 2022-10-26 20:52:16,296 - mmdet - INFO - Epoch [15][700/1849] lr: 2.000e-04, eta: 6:18:50, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2056, loss_bbox: 0.6723, loss_iou: 0.9799, d0.loss_bbox: 0.7262, d0.loss_iou: 1.0443, d1.loss_bbox: 0.7010, d1.loss_iou: 1.0137, d2.loss_bbox: 0.6868, d2.loss_iou: 0.9959, d3.loss_bbox: 0.6766, d3.loss_iou: 0.9845, d4.loss_bbox: 0.6726, d4.loss_iou: 0.9796, loss: 13.3391, grad_norm: 12.3662 2022-10-26 20:52:33,549 - mmdet - INFO - Epoch [15][750/1849] lr: 2.000e-04, eta: 6:18:32, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.2013, loss_bbox: 0.6726, loss_iou: 0.9812, d0.loss_bbox: 0.7245, d0.loss_iou: 1.0467, d1.loss_bbox: 0.6999, d1.loss_iou: 1.0167, d2.loss_bbox: 0.6863, d2.loss_iou: 0.9981, d3.loss_bbox: 0.6768, d3.loss_iou: 0.9862, d4.loss_bbox: 0.6727, d4.loss_iou: 0.9811, loss: 13.3441, grad_norm: 14.1445 2022-10-26 20:52:51,090 - mmdet - INFO - Epoch [15][800/1849] lr: 2.000e-04, eta: 6:18:16, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.2017, loss_bbox: 0.6674, loss_iou: 0.9837, d0.loss_bbox: 0.7208, d0.loss_iou: 1.0514, d1.loss_bbox: 0.6954, d1.loss_iou: 1.0206, d2.loss_bbox: 0.6818, d2.loss_iou: 1.0015, d3.loss_bbox: 0.6719, d3.loss_iou: 0.9894, d4.loss_bbox: 0.6676, d4.loss_iou: 0.9841, loss: 13.3372, grad_norm: 13.5784 2022-10-26 20:53:08,301 - mmdet - INFO - Epoch [15][850/1849] lr: 2.000e-04, eta: 6:17:58, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.2036, loss_bbox: 0.6698, loss_iou: 0.9793, d0.loss_bbox: 0.7242, d0.loss_iou: 1.0480, d1.loss_bbox: 0.6982, d1.loss_iou: 1.0162, d2.loss_bbox: 0.6842, d2.loss_iou: 0.9971, d3.loss_bbox: 0.6740, d3.loss_iou: 0.9852, d4.loss_bbox: 0.6701, d4.loss_iou: 0.9793, loss: 13.3292, grad_norm: 14.0228 2022-10-26 20:53:25,664 - mmdet - INFO - Epoch [15][900/1849] lr: 2.000e-04, eta: 6:17:42, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2114, loss_bbox: 0.6666, loss_iou: 0.9817, d0.loss_bbox: 0.7193, d0.loss_iou: 1.0468, d1.loss_bbox: 0.6948, d1.loss_iou: 1.0172, d2.loss_bbox: 0.6803, d2.loss_iou: 0.9988, d3.loss_bbox: 0.6710, d3.loss_iou: 0.9869, d4.loss_bbox: 0.6667, d4.loss_iou: 0.9818, loss: 13.3234, grad_norm: 13.3910 2022-10-26 20:53:42,856 - mmdet - INFO - Epoch [15][950/1849] lr: 2.000e-04, eta: 6:17:24, time: 0.344, data_time: 0.008, memory: 4054, loss_contrastive: 3.2016, loss_bbox: 0.6705, loss_iou: 0.9805, d0.loss_bbox: 0.7243, d0.loss_iou: 1.0462, d1.loss_bbox: 0.6994, d1.loss_iou: 1.0162, d2.loss_bbox: 0.6853, d2.loss_iou: 0.9978, d3.loss_bbox: 0.6751, d3.loss_iou: 0.9854, d4.loss_bbox: 0.6708, d4.loss_iou: 0.9809, loss: 13.3340, grad_norm: 13.9969 2022-10-26 20:53:59,968 - mmdet - INFO - Epoch [15][1000/1849] lr: 2.000e-04, eta: 6:17:06, time: 0.342, data_time: 0.009, memory: 4054, loss_contrastive: 3.2026, loss_bbox: 0.6719, loss_iou: 0.9817, d0.loss_bbox: 0.7248, d0.loss_iou: 1.0476, d1.loss_bbox: 0.7003, d1.loss_iou: 1.0166, d2.loss_bbox: 0.6862, d2.loss_iou: 0.9979, d3.loss_bbox: 0.6761, d3.loss_iou: 0.9869, d4.loss_bbox: 0.6720, d4.loss_iou: 0.9817, loss: 13.3464, grad_norm: 14.3449 2022-10-26 20:54:17,442 - mmdet - INFO - Epoch [15][1050/1849] lr: 2.000e-04, eta: 6:16:50, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2018, loss_bbox: 0.6677, loss_iou: 0.9782, d0.loss_bbox: 0.7230, d0.loss_iou: 1.0469, d1.loss_bbox: 0.6975, d1.loss_iou: 1.0151, d2.loss_bbox: 0.6827, d2.loss_iou: 0.9968, d3.loss_bbox: 0.6724, d3.loss_iou: 0.9842, d4.loss_bbox: 0.6680, d4.loss_iou: 0.9787, loss: 13.3132, grad_norm: 12.2516 2022-10-26 20:54:34,848 - mmdet - INFO - Epoch [15][1100/1849] lr: 2.000e-04, eta: 6:16:33, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.1971, loss_bbox: 0.6723, loss_iou: 0.9808, d0.loss_bbox: 0.7252, d0.loss_iou: 1.0473, d1.loss_bbox: 0.7010, d1.loss_iou: 1.0165, d2.loss_bbox: 0.6871, d2.loss_iou: 0.9978, d3.loss_bbox: 0.6768, d3.loss_iou: 0.9862, d4.loss_bbox: 0.6724, d4.loss_iou: 0.9811, loss: 13.3415, grad_norm: 12.9762 2022-10-26 20:54:52,137 - mmdet - INFO - Epoch [15][1150/1849] lr: 2.000e-04, eta: 6:16:16, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2001, loss_bbox: 0.6687, loss_iou: 0.9795, d0.loss_bbox: 0.7223, d0.loss_iou: 1.0446, d1.loss_bbox: 0.6964, d1.loss_iou: 1.0136, d2.loss_bbox: 0.6837, d2.loss_iou: 0.9954, d3.loss_bbox: 0.6739, d3.loss_iou: 0.9840, d4.loss_bbox: 0.6693, d4.loss_iou: 0.9795, loss: 13.3110, grad_norm: 12.5216 2022-10-26 20:55:09,566 - mmdet - INFO - Epoch [15][1200/1849] lr: 2.000e-04, eta: 6:15:59, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1976, loss_bbox: 0.6684, loss_iou: 0.9821, d0.loss_bbox: 0.7218, d0.loss_iou: 1.0490, d1.loss_bbox: 0.6971, d1.loss_iou: 1.0171, d2.loss_bbox: 0.6829, d2.loss_iou: 0.9989, d3.loss_bbox: 0.6729, d3.loss_iou: 0.9878, d4.loss_bbox: 0.6684, d4.loss_iou: 0.9827, loss: 13.3268, grad_norm: 14.4431 2022-10-26 20:55:27,150 - mmdet - INFO - Epoch [15][1250/1849] lr: 2.000e-04, eta: 6:15:42, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2036, loss_bbox: 0.6695, loss_iou: 0.9796, d0.loss_bbox: 0.7233, d0.loss_iou: 1.0462, d1.loss_bbox: 0.6981, d1.loss_iou: 1.0142, d2.loss_bbox: 0.6838, d2.loss_iou: 0.9964, d3.loss_bbox: 0.6743, d3.loss_iou: 0.9843, d4.loss_bbox: 0.6697, d4.loss_iou: 0.9799, loss: 13.3229, grad_norm: 12.2354 2022-10-26 20:55:44,474 - mmdet - INFO - Epoch [15][1300/1849] lr: 2.000e-04, eta: 6:15:25, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.2023, loss_bbox: 0.6673, loss_iou: 0.9837, d0.loss_bbox: 0.7225, d0.loss_iou: 1.0506, d1.loss_bbox: 0.6959, d1.loss_iou: 1.0196, d2.loss_bbox: 0.6820, d2.loss_iou: 1.0005, d3.loss_bbox: 0.6719, d3.loss_iou: 0.9891, d4.loss_bbox: 0.6678, d4.loss_iou: 0.9837, loss: 13.3369, grad_norm: 13.8664 2022-10-26 20:56:01,717 - mmdet - INFO - Epoch [15][1350/1849] lr: 2.000e-04, eta: 6:15:08, time: 0.345, data_time: 0.008, memory: 4054, loss_contrastive: 3.2018, loss_bbox: 0.6724, loss_iou: 0.9803, d0.loss_bbox: 0.7265, d0.loss_iou: 1.0458, d1.loss_bbox: 0.7013, d1.loss_iou: 1.0165, d2.loss_bbox: 0.6870, d2.loss_iou: 0.9972, d3.loss_bbox: 0.6771, d3.loss_iou: 0.9858, d4.loss_bbox: 0.6724, d4.loss_iou: 0.9806, loss: 13.3448, grad_norm: 13.4784 2022-10-26 20:56:18,986 - mmdet - INFO - Epoch [15][1400/1849] lr: 2.000e-04, eta: 6:14:51, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.2035, loss_bbox: 0.6678, loss_iou: 0.9784, d0.loss_bbox: 0.7233, d0.loss_iou: 1.0452, d1.loss_bbox: 0.6976, d1.loss_iou: 1.0143, d2.loss_bbox: 0.6839, d2.loss_iou: 0.9955, d3.loss_bbox: 0.6726, d3.loss_iou: 0.9833, d4.loss_bbox: 0.6680, d4.loss_iou: 0.9784, loss: 13.3119, grad_norm: 13.3356 2022-10-26 20:56:36,608 - mmdet - INFO - Epoch [15][1450/1849] lr: 2.000e-04, eta: 6:14:34, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2011, loss_bbox: 0.6659, loss_iou: 0.9813, d0.loss_bbox: 0.7211, d0.loss_iou: 1.0505, d1.loss_bbox: 0.6955, d1.loss_iou: 1.0180, d2.loss_bbox: 0.6809, d2.loss_iou: 0.9981, d3.loss_bbox: 0.6706, d3.loss_iou: 0.9866, d4.loss_bbox: 0.6661, d4.loss_iou: 0.9816, loss: 13.3175, grad_norm: 14.2873 2022-10-26 20:56:53,947 - mmdet - INFO - Epoch [15][1500/1849] lr: 2.000e-04, eta: 6:14:17, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.1985, loss_bbox: 0.6660, loss_iou: 0.9781, d0.loss_bbox: 0.7217, d0.loss_iou: 1.0472, d1.loss_bbox: 0.6958, d1.loss_iou: 1.0157, d2.loss_bbox: 0.6805, d2.loss_iou: 0.9964, d3.loss_bbox: 0.6705, d3.loss_iou: 0.9839, d4.loss_bbox: 0.6662, d4.loss_iou: 0.9782, loss: 13.2988, grad_norm: 15.2716 2022-10-26 20:57:11,474 - mmdet - INFO - Epoch [15][1550/1849] lr: 2.000e-04, eta: 6:14:01, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1946, loss_bbox: 0.6671, loss_iou: 0.9762, d0.loss_bbox: 0.7218, d0.loss_iou: 1.0435, d1.loss_bbox: 0.6946, d1.loss_iou: 1.0113, d2.loss_bbox: 0.6818, d2.loss_iou: 0.9937, d3.loss_bbox: 0.6714, d3.loss_iou: 0.9820, d4.loss_bbox: 0.6675, d4.loss_iou: 0.9767, loss: 13.2824, grad_norm: 12.1388 2022-10-26 20:57:29,097 - mmdet - INFO - Epoch [15][1600/1849] lr: 2.000e-04, eta: 6:13:44, time: 0.353, data_time: 0.009, memory: 4054, loss_contrastive: 3.2008, loss_bbox: 0.6741, loss_iou: 0.9857, d0.loss_bbox: 0.7268, d0.loss_iou: 1.0506, d1.loss_bbox: 0.7018, d1.loss_iou: 1.0206, d2.loss_bbox: 0.6884, d2.loss_iou: 1.0021, d3.loss_bbox: 0.6782, d3.loss_iou: 0.9908, d4.loss_bbox: 0.6741, d4.loss_iou: 0.9856, loss: 13.3797, grad_norm: 13.6988 2022-10-26 20:57:46,597 - mmdet - INFO - Epoch [15][1650/1849] lr: 2.000e-04, eta: 6:13:28, time: 0.350, data_time: 0.008, memory: 4054, loss_contrastive: 3.1992, loss_bbox: 0.6632, loss_iou: 0.9777, d0.loss_bbox: 0.7186, d0.loss_iou: 1.0456, d1.loss_bbox: 0.6920, d1.loss_iou: 1.0145, d2.loss_bbox: 0.6779, d2.loss_iou: 0.9950, d3.loss_bbox: 0.6680, d3.loss_iou: 0.9839, d4.loss_bbox: 0.6635, d4.loss_iou: 0.9780, loss: 13.2771, grad_norm: 14.2301 2022-10-26 20:58:03,915 - mmdet - INFO - Epoch [15][1700/1849] lr: 2.000e-04, eta: 6:13:10, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.1956, loss_bbox: 0.6693, loss_iou: 0.9750, d0.loss_bbox: 0.7232, d0.loss_iou: 1.0418, d1.loss_bbox: 0.6978, d1.loss_iou: 1.0116, d2.loss_bbox: 0.6839, d2.loss_iou: 0.9924, d3.loss_bbox: 0.6740, d3.loss_iou: 0.9809, d4.loss_bbox: 0.6696, d4.loss_iou: 0.9752, loss: 13.2904, grad_norm: 17.6827 2022-10-26 20:58:21,652 - mmdet - INFO - Epoch [15][1750/1849] lr: 2.000e-04, eta: 6:12:54, time: 0.355, data_time: 0.009, memory: 4054, loss_contrastive: 3.1960, loss_bbox: 0.6680, loss_iou: 0.9790, d0.loss_bbox: 0.7222, d0.loss_iou: 1.0464, d1.loss_bbox: 0.6963, d1.loss_iou: 1.0141, d2.loss_bbox: 0.6830, d2.loss_iou: 0.9953, d3.loss_bbox: 0.6728, d3.loss_iou: 0.9848, d4.loss_bbox: 0.6682, d4.loss_iou: 0.9796, loss: 13.3057, grad_norm: 12.6410 2022-10-26 20:58:39,276 - mmdet - INFO - Epoch [15][1800/1849] lr: 2.000e-04, eta: 6:12:38, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.2018, loss_bbox: 0.6687, loss_iou: 0.9812, d0.loss_bbox: 0.7234, d0.loss_iou: 1.0483, d1.loss_bbox: 0.6981, d1.loss_iou: 1.0166, d2.loss_bbox: 0.6829, d2.loss_iou: 0.9980, d3.loss_bbox: 0.6732, d3.loss_iou: 0.9862, d4.loss_bbox: 0.6690, d4.loss_iou: 0.9812, loss: 13.3288, grad_norm: 13.0901 2022-10-26 20:58:56,537 - mmdet - INFO - Saving checkpoint at 15 epochs 2022-10-26 20:59:18,704 - mmdet - INFO - Epoch [16][50/1849] lr: 2.000e-04, eta: 6:11:33, time: 0.420, data_time: 0.070, memory: 4054, loss_contrastive: 3.1957, loss_bbox: 0.6651, loss_iou: 0.9764, d0.loss_bbox: 0.7198, d0.loss_iou: 1.0424, d1.loss_bbox: 0.6951, d1.loss_iou: 1.0112, d2.loss_bbox: 0.6799, d2.loss_iou: 0.9926, d3.loss_bbox: 0.6698, d3.loss_iou: 0.9821, d4.loss_bbox: 0.6650, d4.loss_iou: 0.9766, loss: 13.2717, grad_norm: 14.8119 2022-10-26 20:59:36,413 - mmdet - INFO - Epoch [16][100/1849] lr: 2.000e-04, eta: 6:11:17, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.1943, loss_bbox: 0.6697, loss_iou: 0.9770, d0.loss_bbox: 0.7234, d0.loss_iou: 1.0420, d1.loss_bbox: 0.6981, d1.loss_iou: 1.0123, d2.loss_bbox: 0.6840, d2.loss_iou: 0.9936, d3.loss_bbox: 0.6742, d3.loss_iou: 0.9828, d4.loss_bbox: 0.6702, d4.loss_iou: 0.9772, loss: 13.2989, grad_norm: 12.9753 2022-10-26 20:59:53,811 - mmdet - INFO - Epoch [16][150/1849] lr: 2.000e-04, eta: 6:11:00, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.1958, loss_bbox: 0.6691, loss_iou: 0.9799, d0.loss_bbox: 0.7232, d0.loss_iou: 1.0466, d1.loss_bbox: 0.6976, d1.loss_iou: 1.0145, d2.loss_bbox: 0.6828, d2.loss_iou: 0.9963, d3.loss_bbox: 0.6733, d3.loss_iou: 0.9850, d4.loss_bbox: 0.6691, d4.loss_iou: 0.9796, loss: 13.3127, grad_norm: 15.4990 2022-10-26 21:00:11,346 - mmdet - INFO - Epoch [16][200/1849] lr: 2.000e-04, eta: 6:10:43, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1976, loss_bbox: 0.6645, loss_iou: 0.9743, d0.loss_bbox: 0.7210, d0.loss_iou: 1.0423, d1.loss_bbox: 0.6945, d1.loss_iou: 1.0112, d2.loss_bbox: 0.6804, d2.loss_iou: 0.9923, d3.loss_bbox: 0.6695, d3.loss_iou: 0.9796, d4.loss_bbox: 0.6648, d4.loss_iou: 0.9744, loss: 13.2663, grad_norm: 15.9407 2022-10-26 21:00:28,773 - mmdet - INFO - Epoch [16][250/1849] lr: 2.000e-04, eta: 6:10:27, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.2002, loss_bbox: 0.6664, loss_iou: 0.9745, d0.loss_bbox: 0.7206, d0.loss_iou: 1.0417, d1.loss_bbox: 0.6951, d1.loss_iou: 1.0108, d2.loss_bbox: 0.6803, d2.loss_iou: 0.9913, d3.loss_bbox: 0.6707, d3.loss_iou: 0.9799, d4.loss_bbox: 0.6665, d4.loss_iou: 0.9746, loss: 13.2727, grad_norm: 11.6509 2022-10-26 21:00:46,256 - mmdet - INFO - Epoch [16][300/1849] lr: 2.000e-04, eta: 6:10:10, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1909, loss_bbox: 0.6669, loss_iou: 0.9777, d0.loss_bbox: 0.7226, d0.loss_iou: 1.0425, d1.loss_bbox: 0.6967, d1.loss_iou: 1.0126, d2.loss_bbox: 0.6825, d2.loss_iou: 0.9944, d3.loss_bbox: 0.6718, d3.loss_iou: 0.9834, d4.loss_bbox: 0.6670, d4.loss_iou: 0.9779, loss: 13.2869, grad_norm: 16.5587 2022-10-26 21:01:03,752 - mmdet - INFO - Epoch [16][350/1849] lr: 2.000e-04, eta: 6:09:53, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1975, loss_bbox: 0.6689, loss_iou: 0.9796, d0.loss_bbox: 0.7239, d0.loss_iou: 1.0477, d1.loss_bbox: 0.6984, d1.loss_iou: 1.0153, d2.loss_bbox: 0.6832, d2.loss_iou: 0.9965, d3.loss_bbox: 0.6735, d3.loss_iou: 0.9851, d4.loss_bbox: 0.6693, d4.loss_iou: 0.9798, loss: 13.3185, grad_norm: 15.3811 2022-10-26 21:01:21,736 - mmdet - INFO - Epoch [16][400/1849] lr: 2.000e-04, eta: 6:09:38, time: 0.360, data_time: 0.009, memory: 4054, loss_contrastive: 3.1912, loss_bbox: 0.6650, loss_iou: 0.9776, d0.loss_bbox: 0.7207, d0.loss_iou: 1.0447, d1.loss_bbox: 0.6950, d1.loss_iou: 1.0162, d2.loss_bbox: 0.6807, d2.loss_iou: 0.9956, d3.loss_bbox: 0.6701, d3.loss_iou: 0.9831, d4.loss_bbox: 0.6654, d4.loss_iou: 0.9775, loss: 13.2828, grad_norm: 12.6567 2022-10-26 21:01:39,471 - mmdet - INFO - Epoch [16][450/1849] lr: 2.000e-04, eta: 6:09:22, time: 0.355, data_time: 0.009, memory: 4054, loss_contrastive: 3.1909, loss_bbox: 0.6658, loss_iou: 0.9802, d0.loss_bbox: 0.7194, d0.loss_iou: 1.0460, d1.loss_bbox: 0.6956, d1.loss_iou: 1.0162, d2.loss_bbox: 0.6811, d2.loss_iou: 0.9976, d3.loss_bbox: 0.6710, d3.loss_iou: 0.9858, d4.loss_bbox: 0.6661, d4.loss_iou: 0.9803, loss: 13.2960, grad_norm: 14.3661 2022-10-26 21:01:57,025 - mmdet - INFO - Epoch [16][500/1849] lr: 2.000e-04, eta: 6:09:05, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1900, loss_bbox: 0.6651, loss_iou: 0.9774, d0.loss_bbox: 0.7200, d0.loss_iou: 1.0457, d1.loss_bbox: 0.6952, d1.loss_iou: 1.0151, d2.loss_bbox: 0.6801, d2.loss_iou: 0.9954, d3.loss_bbox: 0.6698, d3.loss_iou: 0.9831, d4.loss_bbox: 0.6654, d4.loss_iou: 0.9774, loss: 13.2797, grad_norm: 14.8145 2022-10-26 21:02:14,533 - mmdet - INFO - Epoch [16][550/1849] lr: 2.000e-04, eta: 6:08:48, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1939, loss_bbox: 0.6666, loss_iou: 0.9779, d0.loss_bbox: 0.7206, d0.loss_iou: 1.0443, d1.loss_bbox: 0.6965, d1.loss_iou: 1.0132, d2.loss_bbox: 0.6820, d2.loss_iou: 0.9947, d3.loss_bbox: 0.6715, d3.loss_iou: 0.9839, d4.loss_bbox: 0.6669, d4.loss_iou: 0.9782, loss: 13.2904, grad_norm: 12.6978 2022-10-26 21:02:32,413 - mmdet - INFO - Epoch [16][600/1849] lr: 2.000e-04, eta: 6:08:33, time: 0.358, data_time: 0.010, memory: 4054, loss_contrastive: 3.2018, loss_bbox: 0.6677, loss_iou: 0.9793, d0.loss_bbox: 0.7216, d0.loss_iou: 1.0467, d1.loss_bbox: 0.6967, d1.loss_iou: 1.0153, d2.loss_bbox: 0.6832, d2.loss_iou: 0.9969, d3.loss_bbox: 0.6729, d3.loss_iou: 0.9846, d4.loss_bbox: 0.6682, d4.loss_iou: 0.9795, loss: 13.3144, grad_norm: 13.9118 2022-10-26 21:02:49,809 - mmdet - INFO - Epoch [16][650/1849] lr: 2.000e-04, eta: 6:08:16, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.2062, loss_bbox: 0.6686, loss_iou: 0.9765, d0.loss_bbox: 0.7224, d0.loss_iou: 1.0432, d1.loss_bbox: 0.6973, d1.loss_iou: 1.0121, d2.loss_bbox: 0.6837, d2.loss_iou: 0.9937, d3.loss_bbox: 0.6737, d3.loss_iou: 0.9818, d4.loss_bbox: 0.6688, d4.loss_iou: 0.9767, loss: 13.3047, grad_norm: 12.4715 2022-10-26 21:03:07,330 - mmdet - INFO - Epoch [16][700/1849] lr: 2.000e-04, eta: 6:07:59, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1994, loss_bbox: 0.6684, loss_iou: 0.9795, d0.loss_bbox: 0.7213, d0.loss_iou: 1.0458, d1.loss_bbox: 0.6966, d1.loss_iou: 1.0152, d2.loss_bbox: 0.6829, d2.loss_iou: 0.9962, d3.loss_bbox: 0.6731, d3.loss_iou: 0.9848, d4.loss_bbox: 0.6685, d4.loss_iou: 0.9798, loss: 13.3114, grad_norm: 13.0804 2022-10-26 21:03:25,097 - mmdet - INFO - Epoch [16][750/1849] lr: 2.000e-04, eta: 6:07:43, time: 0.355, data_time: 0.009, memory: 4054, loss_contrastive: 3.1929, loss_bbox: 0.6670, loss_iou: 0.9780, d0.loss_bbox: 0.7203, d0.loss_iou: 1.0437, d1.loss_bbox: 0.6965, d1.loss_iou: 1.0137, d2.loss_bbox: 0.6823, d2.loss_iou: 0.9956, d3.loss_bbox: 0.6719, d3.loss_iou: 0.9838, d4.loss_bbox: 0.6673, d4.loss_iou: 0.9784, loss: 13.2914, grad_norm: 13.6288 2022-10-26 21:03:42,551 - mmdet - INFO - Epoch [16][800/1849] lr: 2.000e-04, eta: 6:07:26, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1899, loss_bbox: 0.6663, loss_iou: 0.9815, d0.loss_bbox: 0.7194, d0.loss_iou: 1.0464, d1.loss_bbox: 0.6944, d1.loss_iou: 1.0171, d2.loss_bbox: 0.6806, d2.loss_iou: 0.9975, d3.loss_bbox: 0.6705, d3.loss_iou: 0.9866, d4.loss_bbox: 0.6662, d4.loss_iou: 0.9811, loss: 13.2976, grad_norm: 13.6098 2022-10-26 21:04:00,093 - mmdet - INFO - Epoch [16][850/1849] lr: 2.000e-04, eta: 6:07:10, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1974, loss_bbox: 0.6689, loss_iou: 0.9801, d0.loss_bbox: 0.7234, d0.loss_iou: 1.0464, d1.loss_bbox: 0.6981, d1.loss_iou: 1.0160, d2.loss_bbox: 0.6834, d2.loss_iou: 0.9972, d3.loss_bbox: 0.6738, d3.loss_iou: 0.9853, d4.loss_bbox: 0.6694, d4.loss_iou: 0.9802, loss: 13.3195, grad_norm: 13.1729 2022-10-26 21:04:17,523 - mmdet - INFO - Epoch [16][900/1849] lr: 2.000e-04, eta: 6:06:53, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1928, loss_bbox: 0.6656, loss_iou: 0.9775, d0.loss_bbox: 0.7204, d0.loss_iou: 1.0471, d1.loss_bbox: 0.6944, d1.loss_iou: 1.0157, d2.loss_bbox: 0.6797, d2.loss_iou: 0.9952, d3.loss_bbox: 0.6695, d3.loss_iou: 0.9833, d4.loss_bbox: 0.6655, d4.loss_iou: 0.9780, loss: 13.2847, grad_norm: 12.7422 2022-10-26 21:04:35,230 - mmdet - INFO - Epoch [16][950/1849] lr: 2.000e-04, eta: 6:06:37, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.1973, loss_bbox: 0.6676, loss_iou: 0.9775, d0.loss_bbox: 0.7226, d0.loss_iou: 1.0473, d1.loss_bbox: 0.6969, d1.loss_iou: 1.0136, d2.loss_bbox: 0.6823, d2.loss_iou: 0.9949, d3.loss_bbox: 0.6726, d3.loss_iou: 0.9831, d4.loss_bbox: 0.6681, d4.loss_iou: 0.9776, loss: 13.3015, grad_norm: 13.6850 2022-10-26 21:04:52,865 - mmdet - INFO - Epoch [16][1000/1849] lr: 2.000e-04, eta: 6:06:20, time: 0.353, data_time: 0.010, memory: 4054, loss_contrastive: 3.1960, loss_bbox: 0.6650, loss_iou: 0.9790, d0.loss_bbox: 0.7200, d0.loss_iou: 1.0491, d1.loss_bbox: 0.6938, d1.loss_iou: 1.0166, d2.loss_bbox: 0.6790, d2.loss_iou: 0.9972, d3.loss_bbox: 0.6697, d3.loss_iou: 0.9843, d4.loss_bbox: 0.6652, d4.loss_iou: 0.9790, loss: 13.2939, grad_norm: 13.9371 2022-10-26 21:05:10,410 - mmdet - INFO - Epoch [16][1050/1849] lr: 2.000e-04, eta: 6:06:04, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1941, loss_bbox: 0.6681, loss_iou: 0.9777, d0.loss_bbox: 0.7230, d0.loss_iou: 1.0453, d1.loss_bbox: 0.6978, d1.loss_iou: 1.0134, d2.loss_bbox: 0.6837, d2.loss_iou: 0.9943, d3.loss_bbox: 0.6735, d3.loss_iou: 0.9827, d4.loss_bbox: 0.6687, d4.loss_iou: 0.9775, loss: 13.2997, grad_norm: 13.6574 2022-10-26 21:05:28,288 - mmdet - INFO - Epoch [16][1100/1849] lr: 2.000e-04, eta: 6:05:48, time: 0.358, data_time: 0.009, memory: 4054, loss_contrastive: 3.1909, loss_bbox: 0.6673, loss_iou: 0.9738, d0.loss_bbox: 0.7216, d0.loss_iou: 1.0412, d1.loss_bbox: 0.6968, d1.loss_iou: 1.0115, d2.loss_bbox: 0.6814, d2.loss_iou: 0.9908, d3.loss_bbox: 0.6721, d3.loss_iou: 0.9790, d4.loss_bbox: 0.6673, d4.loss_iou: 0.9738, loss: 13.2676, grad_norm: 12.2167 2022-10-26 21:05:45,726 - mmdet - INFO - Epoch [16][1150/1849] lr: 2.000e-04, eta: 6:05:31, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1927, loss_bbox: 0.6659, loss_iou: 0.9771, d0.loss_bbox: 0.7197, d0.loss_iou: 1.0447, d1.loss_bbox: 0.6943, d1.loss_iou: 1.0139, d2.loss_bbox: 0.6805, d2.loss_iou: 0.9944, d3.loss_bbox: 0.6704, d3.loss_iou: 0.9823, d4.loss_bbox: 0.6662, d4.loss_iou: 0.9771, loss: 13.2792, grad_norm: 14.0737 2022-10-26 21:06:03,052 - mmdet - INFO - Epoch [16][1200/1849] lr: 2.000e-04, eta: 6:05:14, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.1923, loss_bbox: 0.6642, loss_iou: 0.9747, d0.loss_bbox: 0.7192, d0.loss_iou: 1.0418, d1.loss_bbox: 0.6933, d1.loss_iou: 1.0106, d2.loss_bbox: 0.6795, d2.loss_iou: 0.9922, d3.loss_bbox: 0.6694, d3.loss_iou: 0.9806, d4.loss_bbox: 0.6646, d4.loss_iou: 0.9750, loss: 13.2574, grad_norm: 14.8294 2022-10-26 21:06:21,042 - mmdet - INFO - Epoch [16][1250/1849] lr: 2.000e-04, eta: 6:04:58, time: 0.360, data_time: 0.009, memory: 4054, loss_contrastive: 3.1943, loss_bbox: 0.6655, loss_iou: 0.9727, d0.loss_bbox: 0.7178, d0.loss_iou: 1.0393, d1.loss_bbox: 0.6940, d1.loss_iou: 1.0086, d2.loss_bbox: 0.6801, d2.loss_iou: 0.9906, d3.loss_bbox: 0.6704, d3.loss_iou: 0.9781, d4.loss_bbox: 0.6659, d4.loss_iou: 0.9729, loss: 13.2504, grad_norm: 13.9316 2022-10-26 21:06:38,425 - mmdet - INFO - Epoch [16][1300/1849] lr: 2.000e-04, eta: 6:04:41, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.1944, loss_bbox: 0.6664, loss_iou: 0.9743, d0.loss_bbox: 0.7218, d0.loss_iou: 1.0433, d1.loss_bbox: 0.6951, d1.loss_iou: 1.0114, d2.loss_bbox: 0.6807, d2.loss_iou: 0.9923, d3.loss_bbox: 0.6708, d3.loss_iou: 0.9804, d4.loss_bbox: 0.6668, d4.loss_iou: 0.9749, loss: 13.2727, grad_norm: 13.5766 2022-10-26 21:06:56,049 - mmdet - INFO - Epoch [16][1350/1849] lr: 2.000e-04, eta: 6:04:25, time: 0.353, data_time: 0.009, memory: 4054, loss_contrastive: 3.1943, loss_bbox: 0.6659, loss_iou: 0.9770, d0.loss_bbox: 0.7191, d0.loss_iou: 1.0440, d1.loss_bbox: 0.6941, d1.loss_iou: 1.0143, d2.loss_bbox: 0.6810, d2.loss_iou: 0.9946, d3.loss_bbox: 0.6710, d3.loss_iou: 0.9831, d4.loss_bbox: 0.6664, d4.loss_iou: 0.9774, loss: 13.2821, grad_norm: 13.3737 2022-10-26 21:07:13,590 - mmdet - INFO - Epoch [16][1400/1849] lr: 2.000e-04, eta: 6:04:08, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1931, loss_bbox: 0.6674, loss_iou: 0.9784, d0.loss_bbox: 0.7198, d0.loss_iou: 1.0457, d1.loss_bbox: 0.6960, d1.loss_iou: 1.0145, d2.loss_bbox: 0.6816, d2.loss_iou: 0.9962, d3.loss_bbox: 0.6722, d3.loss_iou: 0.9840, d4.loss_bbox: 0.6674, d4.loss_iou: 0.9788, loss: 13.2950, grad_norm: 12.0672 2022-10-26 21:07:31,509 - mmdet - INFO - Epoch [16][1450/1849] lr: 2.000e-04, eta: 6:03:52, time: 0.359, data_time: 0.009, memory: 4054, loss_contrastive: 3.1938, loss_bbox: 0.6661, loss_iou: 0.9777, d0.loss_bbox: 0.7200, d0.loss_iou: 1.0444, d1.loss_bbox: 0.6955, d1.loss_iou: 1.0139, d2.loss_bbox: 0.6815, d2.loss_iou: 0.9942, d3.loss_bbox: 0.6708, d3.loss_iou: 0.9826, d4.loss_bbox: 0.6662, d4.loss_iou: 0.9779, loss: 13.2844, grad_norm: 14.6752 2022-10-26 21:07:48,877 - mmdet - INFO - Epoch [16][1500/1849] lr: 2.000e-04, eta: 6:03:35, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.1935, loss_bbox: 0.6646, loss_iou: 0.9755, d0.loss_bbox: 0.7189, d0.loss_iou: 1.0432, d1.loss_bbox: 0.6943, d1.loss_iou: 1.0120, d2.loss_bbox: 0.6804, d2.loss_iou: 0.9935, d3.loss_bbox: 0.6699, d3.loss_iou: 0.9813, d4.loss_bbox: 0.6653, d4.loss_iou: 0.9754, loss: 13.2678, grad_norm: 13.4547 2022-10-26 21:08:06,460 - mmdet - INFO - Epoch [16][1550/1849] lr: 2.000e-04, eta: 6:03:19, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1948, loss_bbox: 0.6606, loss_iou: 0.9711, d0.loss_bbox: 0.7143, d0.loss_iou: 1.0396, d1.loss_bbox: 0.6900, d1.loss_iou: 1.0091, d2.loss_bbox: 0.6751, d2.loss_iou: 0.9882, d3.loss_bbox: 0.6652, d3.loss_iou: 0.9768, d4.loss_bbox: 0.6610, d4.loss_iou: 0.9714, loss: 13.2172, grad_norm: 12.4368 2022-10-26 21:08:23,948 - mmdet - INFO - Epoch [16][1600/1849] lr: 2.000e-04, eta: 6:03:02, time: 0.350, data_time: 0.010, memory: 4054, loss_contrastive: 3.1942, loss_bbox: 0.6649, loss_iou: 0.9731, d0.loss_bbox: 0.7202, d0.loss_iou: 1.0411, d1.loss_bbox: 0.6931, d1.loss_iou: 1.0091, d2.loss_bbox: 0.6781, d2.loss_iou: 0.9906, d3.loss_bbox: 0.6694, d3.loss_iou: 0.9783, d4.loss_bbox: 0.6651, d4.loss_iou: 0.9734, loss: 13.2507, grad_norm: 12.9536 2022-10-26 21:08:41,373 - mmdet - INFO - Epoch [16][1650/1849] lr: 2.000e-04, eta: 6:02:45, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1869, loss_bbox: 0.6656, loss_iou: 0.9754, d0.loss_bbox: 0.7204, d0.loss_iou: 1.0426, d1.loss_bbox: 0.6951, d1.loss_iou: 1.0127, d2.loss_bbox: 0.6803, d2.loss_iou: 0.9935, d3.loss_bbox: 0.6700, d3.loss_iou: 0.9810, d4.loss_bbox: 0.6658, d4.loss_iou: 0.9757, loss: 13.2649, grad_norm: 13.4622 2022-10-26 21:08:58,934 - mmdet - INFO - Epoch [16][1700/1849] lr: 2.000e-04, eta: 6:02:29, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1959, loss_bbox: 0.6658, loss_iou: 0.9750, d0.loss_bbox: 0.7195, d0.loss_iou: 1.0394, d1.loss_bbox: 0.6943, d1.loss_iou: 1.0093, d2.loss_bbox: 0.6812, d2.loss_iou: 0.9915, d3.loss_bbox: 0.6708, d3.loss_iou: 0.9797, d4.loss_bbox: 0.6663, d4.loss_iou: 0.9750, loss: 13.2640, grad_norm: 15.4807 2022-10-26 21:09:16,520 - mmdet - INFO - Epoch [16][1750/1849] lr: 2.000e-04, eta: 6:02:12, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.1905, loss_bbox: 0.6642, loss_iou: 0.9740, d0.loss_bbox: 0.7190, d0.loss_iou: 1.0439, d1.loss_bbox: 0.6926, d1.loss_iou: 1.0108, d2.loss_bbox: 0.6784, d2.loss_iou: 0.9924, d3.loss_bbox: 0.6688, d3.loss_iou: 0.9798, d4.loss_bbox: 0.6647, d4.loss_iou: 0.9741, loss: 13.2532, grad_norm: 13.6689 2022-10-26 21:09:36,797 - mmdet - INFO - Epoch [16][1800/1849] lr: 2.000e-04, eta: 6:02:01, time: 0.406, data_time: 0.009, memory: 4054, loss_contrastive: 3.1920, loss_bbox: 0.6648, loss_iou: 0.9738, d0.loss_bbox: 0.7195, d0.loss_iou: 1.0428, d1.loss_bbox: 0.6933, d1.loss_iou: 1.0106, d2.loss_bbox: 0.6788, d2.loss_iou: 0.9908, d3.loss_bbox: 0.6695, d3.loss_iou: 0.9802, d4.loss_bbox: 0.6646, d4.loss_iou: 0.9743, loss: 13.2549, grad_norm: 13.5654 2022-10-26 21:09:54,121 - mmdet - INFO - Saving checkpoint at 16 epochs 2022-10-26 21:10:17,381 - mmdet - INFO - Epoch [17][50/1849] lr: 2.000e-04, eta: 6:01:01, time: 0.441, data_time: 0.070, memory: 4054, loss_contrastive: 3.1904, loss_bbox: 0.6630, loss_iou: 0.9711, d0.loss_bbox: 0.7167, d0.loss_iou: 1.0381, d1.loss_bbox: 0.6922, d1.loss_iou: 1.0068, d2.loss_bbox: 0.6784, d2.loss_iou: 0.9882, d3.loss_bbox: 0.6688, d3.loss_iou: 0.9761, d4.loss_bbox: 0.6634, d4.loss_iou: 0.9712, loss: 13.2242, grad_norm: 12.9304 2022-10-26 21:10:37,077 - mmdet - INFO - Epoch [17][100/1849] lr: 2.000e-04, eta: 6:00:49, time: 0.394, data_time: 0.008, memory: 4054, loss_contrastive: 3.1915, loss_bbox: 0.6658, loss_iou: 0.9728, d0.loss_bbox: 0.7182, d0.loss_iou: 1.0384, d1.loss_bbox: 0.6943, d1.loss_iou: 1.0080, d2.loss_bbox: 0.6803, d2.loss_iou: 0.9897, d3.loss_bbox: 0.6703, d3.loss_iou: 0.9775, d4.loss_bbox: 0.6660, d4.loss_iou: 0.9731, loss: 13.2457, grad_norm: 12.9769 2022-10-26 21:11:05,828 - mmdet - INFO - Epoch [17][150/1849] lr: 2.000e-04, eta: 6:00:56, time: 0.575, data_time: 0.008, memory: 4054, loss_contrastive: 3.1828, loss_bbox: 0.6626, loss_iou: 0.9733, d0.loss_bbox: 0.7165, d0.loss_iou: 1.0408, d1.loss_bbox: 0.6914, d1.loss_iou: 1.0094, d2.loss_bbox: 0.6768, d2.loss_iou: 0.9898, d3.loss_bbox: 0.6666, d3.loss_iou: 0.9792, d4.loss_bbox: 0.6629, d4.loss_iou: 0.9733, loss: 13.2253, grad_norm: 13.7295 2022-10-26 21:11:34,758 - mmdet - INFO - Epoch [17][200/1849] lr: 2.000e-04, eta: 6:01:04, time: 0.579, data_time: 0.008, memory: 4054, loss_contrastive: 3.1880, loss_bbox: 0.6647, loss_iou: 0.9756, d0.loss_bbox: 0.7194, d0.loss_iou: 1.0431, d1.loss_bbox: 0.6937, d1.loss_iou: 1.0130, d2.loss_bbox: 0.6788, d2.loss_iou: 0.9927, d3.loss_bbox: 0.6691, d3.loss_iou: 0.9809, d4.loss_bbox: 0.6650, d4.loss_iou: 0.9760, loss: 13.2600, grad_norm: 13.3929 2022-10-26 21:11:58,913 - mmdet - INFO - Epoch [17][250/1849] lr: 2.000e-04, eta: 6:01:01, time: 0.483, data_time: 0.008, memory: 4054, loss_contrastive: 3.1856, loss_bbox: 0.6651, loss_iou: 0.9749, d0.loss_bbox: 0.7206, d0.loss_iou: 1.0444, d1.loss_bbox: 0.6944, d1.loss_iou: 1.0117, d2.loss_bbox: 0.6806, d2.loss_iou: 0.9923, d3.loss_bbox: 0.6703, d3.loss_iou: 0.9807, d4.loss_bbox: 0.6653, d4.loss_iou: 0.9749, loss: 13.2609, grad_norm: 15.2805 2022-10-26 21:12:18,772 - mmdet - INFO - Epoch [17][300/1849] lr: 2.000e-04, eta: 6:00:49, time: 0.397, data_time: 0.008, memory: 4054, loss_contrastive: 3.1890, loss_bbox: 0.6624, loss_iou: 0.9728, d0.loss_bbox: 0.7181, d0.loss_iou: 1.0411, d1.loss_bbox: 0.6911, d1.loss_iou: 1.0089, d2.loss_bbox: 0.6771, d2.loss_iou: 0.9902, d3.loss_bbox: 0.6672, d3.loss_iou: 0.9784, d4.loss_bbox: 0.6629, d4.loss_iou: 0.9729, loss: 13.2321, grad_norm: 14.6220 2022-10-26 21:12:47,475 - mmdet - INFO - Epoch [17][350/1849] lr: 2.000e-04, eta: 6:00:55, time: 0.574, data_time: 0.008, memory: 4054, loss_contrastive: 3.1889, loss_bbox: 0.6623, loss_iou: 0.9737, d0.loss_bbox: 0.7170, d0.loss_iou: 1.0404, d1.loss_bbox: 0.6916, d1.loss_iou: 1.0093, d2.loss_bbox: 0.6779, d2.loss_iou: 0.9898, d3.loss_bbox: 0.6674, d3.loss_iou: 0.9794, d4.loss_bbox: 0.6624, d4.loss_iou: 0.9743, loss: 13.2344, grad_norm: 11.9427 2022-10-26 21:13:12,241 - mmdet - INFO - Epoch [17][400/1849] lr: 2.000e-04, eta: 6:00:53, time: 0.495, data_time: 0.008, memory: 4054, loss_contrastive: 3.1857, loss_bbox: 0.6640, loss_iou: 0.9768, d0.loss_bbox: 0.7195, d0.loss_iou: 1.0438, d1.loss_bbox: 0.6948, d1.loss_iou: 1.0120, d2.loss_bbox: 0.6802, d2.loss_iou: 0.9931, d3.loss_bbox: 0.6695, d3.loss_iou: 0.9815, d4.loss_bbox: 0.6646, d4.loss_iou: 0.9769, loss: 13.2623, grad_norm: 13.2868 2022-10-26 21:13:32,571 - mmdet - INFO - Epoch [17][450/1849] lr: 2.000e-04, eta: 6:00:42, time: 0.407, data_time: 0.008, memory: 4054, loss_contrastive: 3.1915, loss_bbox: 0.6699, loss_iou: 0.9794, d0.loss_bbox: 0.7221, d0.loss_iou: 1.0447, d1.loss_bbox: 0.6989, d1.loss_iou: 1.0146, d2.loss_bbox: 0.6851, d2.loss_iou: 0.9967, d3.loss_bbox: 0.6751, d3.loss_iou: 0.9844, d4.loss_bbox: 0.6701, d4.loss_iou: 0.9794, loss: 13.3120, grad_norm: 13.9097 2022-10-26 21:13:52,235 - mmdet - INFO - Epoch [17][500/1849] lr: 2.000e-04, eta: 6:00:30, time: 0.393, data_time: 0.008, memory: 4054, loss_contrastive: 3.1871, loss_bbox: 0.6655, loss_iou: 0.9798, d0.loss_bbox: 0.7206, d0.loss_iou: 1.0481, d1.loss_bbox: 0.6953, d1.loss_iou: 1.0172, d2.loss_bbox: 0.6808, d2.loss_iou: 0.9979, d3.loss_bbox: 0.6705, d3.loss_iou: 0.9853, d4.loss_bbox: 0.6657, d4.loss_iou: 0.9800, loss: 13.2939, grad_norm: 12.6588 2022-10-26 21:14:12,131 - mmdet - INFO - Epoch [17][550/1849] lr: 2.000e-04, eta: 6:00:18, time: 0.398, data_time: 0.009, memory: 4054, loss_contrastive: 3.1825, loss_bbox: 0.6625, loss_iou: 0.9752, d0.loss_bbox: 0.7166, d0.loss_iou: 1.0424, d1.loss_bbox: 0.6914, d1.loss_iou: 1.0116, d2.loss_bbox: 0.6779, d2.loss_iou: 0.9927, d3.loss_bbox: 0.6671, d3.loss_iou: 0.9809, d4.loss_bbox: 0.6628, d4.loss_iou: 0.9753, loss: 13.2389, grad_norm: 13.4375 2022-10-26 21:14:29,612 - mmdet - INFO - Epoch [17][600/1849] lr: 2.000e-04, eta: 6:00:01, time: 0.350, data_time: 0.008, memory: 4054, loss_contrastive: 3.1903, loss_bbox: 0.6633, loss_iou: 0.9774, d0.loss_bbox: 0.7180, d0.loss_iou: 1.0457, d1.loss_bbox: 0.6927, d1.loss_iou: 1.0149, d2.loss_bbox: 0.6782, d2.loss_iou: 0.9960, d3.loss_bbox: 0.6681, d3.loss_iou: 0.9837, d4.loss_bbox: 0.6634, d4.loss_iou: 0.9777, loss: 13.2694, grad_norm: 13.4656 2022-10-26 21:14:49,538 - mmdet - INFO - Epoch [17][650/1849] lr: 2.000e-04, eta: 5:59:49, time: 0.399, data_time: 0.008, memory: 4054, loss_contrastive: 3.1870, loss_bbox: 0.6653, loss_iou: 0.9761, d0.loss_bbox: 0.7173, d0.loss_iou: 1.0412, d1.loss_bbox: 0.6931, d1.loss_iou: 1.0120, d2.loss_bbox: 0.6790, d2.loss_iou: 0.9933, d3.loss_bbox: 0.6697, d3.loss_iou: 0.9821, d4.loss_bbox: 0.6656, d4.loss_iou: 0.9765, loss: 13.2583, grad_norm: 15.1522 2022-10-26 21:15:07,015 - mmdet - INFO - Epoch [17][700/1849] lr: 2.000e-04, eta: 5:59:32, time: 0.349, data_time: 0.008, memory: 4054, loss_contrastive: 3.1967, loss_bbox: 0.6630, loss_iou: 0.9732, d0.loss_bbox: 0.7184, d0.loss_iou: 1.0416, d1.loss_bbox: 0.6927, d1.loss_iou: 1.0109, d2.loss_bbox: 0.6781, d2.loss_iou: 0.9915, d3.loss_bbox: 0.6679, d3.loss_iou: 0.9787, d4.loss_bbox: 0.6635, d4.loss_iou: 0.9735, loss: 13.2496, grad_norm: 14.1837 2022-10-26 21:15:24,718 - mmdet - INFO - Epoch [17][750/1849] lr: 2.000e-04, eta: 5:59:15, time: 0.354, data_time: 0.008, memory: 4054, loss_contrastive: 3.1917, loss_bbox: 0.6610, loss_iou: 0.9698, d0.loss_bbox: 0.7146, d0.loss_iou: 1.0368, d1.loss_bbox: 0.6906, d1.loss_iou: 1.0059, d2.loss_bbox: 0.6761, d2.loss_iou: 0.9875, d3.loss_bbox: 0.6660, d3.loss_iou: 0.9762, d4.loss_bbox: 0.6612, d4.loss_iou: 0.9701, loss: 13.2076, grad_norm: 15.6774 2022-10-26 21:15:42,295 - mmdet - INFO - Epoch [17][800/1849] lr: 2.000e-04, eta: 5:58:58, time: 0.352, data_time: 0.008, memory: 4054, loss_contrastive: 3.1913, loss_bbox: 0.6629, loss_iou: 0.9712, d0.loss_bbox: 0.7170, d0.loss_iou: 1.0387, d1.loss_bbox: 0.6925, d1.loss_iou: 1.0084, d2.loss_bbox: 0.6784, d2.loss_iou: 0.9893, d3.loss_bbox: 0.6676, d3.loss_iou: 0.9769, d4.loss_bbox: 0.6633, d4.loss_iou: 0.9712, loss: 13.2287, grad_norm: 12.1465 2022-10-26 21:15:59,951 - mmdet - INFO - Epoch [17][850/1849] lr: 2.000e-04, eta: 5:58:41, time: 0.353, data_time: 0.008, memory: 4054, loss_contrastive: 3.1920, loss_bbox: 0.6625, loss_iou: 0.9747, d0.loss_bbox: 0.7187, d0.loss_iou: 1.0409, d1.loss_bbox: 0.6932, d1.loss_iou: 1.0116, d2.loss_bbox: 0.6787, d2.loss_iou: 0.9924, d3.loss_bbox: 0.6679, d3.loss_iou: 0.9810, d4.loss_bbox: 0.6630, d4.loss_iou: 0.9751, loss: 13.2518, grad_norm: 12.5103 2022-10-26 21:16:17,636 - mmdet - INFO - Epoch [17][900/1849] lr: 2.000e-04, eta: 5:58:25, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.1873, loss_bbox: 0.6667, loss_iou: 0.9737, d0.loss_bbox: 0.7224, d0.loss_iou: 1.0425, d1.loss_bbox: 0.6965, d1.loss_iou: 1.0106, d2.loss_bbox: 0.6817, d2.loss_iou: 0.9908, d3.loss_bbox: 0.6708, d3.loss_iou: 0.9794, d4.loss_bbox: 0.6669, d4.loss_iou: 0.9739, loss: 13.2632, grad_norm: 11.9599 2022-10-26 21:16:35,535 - mmdet - INFO - Epoch [17][950/1849] lr: 2.000e-04, eta: 5:58:08, time: 0.358, data_time: 0.009, memory: 4054, loss_contrastive: 3.1907, loss_bbox: 0.6648, loss_iou: 0.9776, d0.loss_bbox: 0.7188, d0.loss_iou: 1.0445, d1.loss_bbox: 0.6941, d1.loss_iou: 1.0138, d2.loss_bbox: 0.6800, d2.loss_iou: 0.9959, d3.loss_bbox: 0.6698, d3.loss_iou: 0.9836, d4.loss_bbox: 0.6652, d4.loss_iou: 0.9779, loss: 13.2767, grad_norm: 14.6354 2022-10-26 21:16:53,240 - mmdet - INFO - Epoch [17][1000/1849] lr: 2.000e-04, eta: 5:57:52, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.1855, loss_bbox: 0.6631, loss_iou: 0.9742, d0.loss_bbox: 0.7172, d0.loss_iou: 1.0426, d1.loss_bbox: 0.6911, d1.loss_iou: 1.0116, d2.loss_bbox: 0.6776, d2.loss_iou: 0.9922, d3.loss_bbox: 0.6674, d3.loss_iou: 0.9801, d4.loss_bbox: 0.6631, d4.loss_iou: 0.9745, loss: 13.2403, grad_norm: 13.2724 2022-10-26 21:17:10,619 - mmdet - INFO - Epoch [17][1050/1849] lr: 2.000e-04, eta: 5:57:34, time: 0.348, data_time: 0.008, memory: 4054, loss_contrastive: 3.1915, loss_bbox: 0.6652, loss_iou: 0.9760, d0.loss_bbox: 0.7190, d0.loss_iou: 1.0444, d1.loss_bbox: 0.6951, d1.loss_iou: 1.0131, d2.loss_bbox: 0.6797, d2.loss_iou: 0.9937, d3.loss_bbox: 0.6700, d3.loss_iou: 0.9817, d4.loss_bbox: 0.6653, d4.loss_iou: 0.9762, loss: 13.2709, grad_norm: 13.0228 2022-10-26 21:17:28,004 - mmdet - INFO - Epoch [17][1100/1849] lr: 2.000e-04, eta: 5:57:17, time: 0.348, data_time: 0.008, memory: 4054, loss_contrastive: 3.1900, loss_bbox: 0.6639, loss_iou: 0.9744, d0.loss_bbox: 0.7185, d0.loss_iou: 1.0415, d1.loss_bbox: 0.6934, d1.loss_iou: 1.0113, d2.loss_bbox: 0.6785, d2.loss_iou: 0.9922, d3.loss_bbox: 0.6686, d3.loss_iou: 0.9807, d4.loss_bbox: 0.6639, d4.loss_iou: 0.9749, loss: 13.2517, grad_norm: 14.2836 2022-10-26 21:17:45,512 - mmdet - INFO - Epoch [17][1150/1849] lr: 2.000e-04, eta: 5:57:00, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1803, loss_bbox: 0.6633, loss_iou: 0.9742, d0.loss_bbox: 0.7176, d0.loss_iou: 1.0428, d1.loss_bbox: 0.6938, d1.loss_iou: 1.0125, d2.loss_bbox: 0.6788, d2.loss_iou: 0.9925, d3.loss_bbox: 0.6682, d3.loss_iou: 0.9802, d4.loss_bbox: 0.6635, d4.loss_iou: 0.9745, loss: 13.2423, grad_norm: 12.2508 2022-10-26 21:18:03,049 - mmdet - INFO - Epoch [17][1200/1849] lr: 2.000e-04, eta: 5:56:43, time: 0.351, data_time: 0.008, memory: 4054, loss_contrastive: 3.1829, loss_bbox: 0.6635, loss_iou: 0.9726, d0.loss_bbox: 0.7176, d0.loss_iou: 1.0398, d1.loss_bbox: 0.6927, d1.loss_iou: 1.0096, d2.loss_bbox: 0.6790, d2.loss_iou: 0.9907, d3.loss_bbox: 0.6682, d3.loss_iou: 0.9794, d4.loss_bbox: 0.6637, d4.loss_iou: 0.9735, loss: 13.2330, grad_norm: 13.1254 2022-10-26 21:18:20,583 - mmdet - INFO - Epoch [17][1250/1849] lr: 2.000e-04, eta: 5:56:26, time: 0.351, data_time: 0.008, memory: 4054, loss_contrastive: 3.1913, loss_bbox: 0.6638, loss_iou: 0.9778, d0.loss_bbox: 0.7188, d0.loss_iou: 1.0460, d1.loss_bbox: 0.6934, d1.loss_iou: 1.0148, d2.loss_bbox: 0.6790, d2.loss_iou: 0.9955, d3.loss_bbox: 0.6684, d3.loss_iou: 0.9834, d4.loss_bbox: 0.6640, d4.loss_iou: 0.9780, loss: 13.2740, grad_norm: 14.4001 2022-10-26 21:18:38,036 - mmdet - INFO - Epoch [17][1300/1849] lr: 2.000e-04, eta: 5:56:09, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1906, loss_bbox: 0.6608, loss_iou: 0.9694, d0.loss_bbox: 0.7170, d0.loss_iou: 1.0394, d1.loss_bbox: 0.6913, d1.loss_iou: 1.0069, d2.loss_bbox: 0.6763, d2.loss_iou: 0.9878, d3.loss_bbox: 0.6661, d3.loss_iou: 0.9758, d4.loss_bbox: 0.6614, d4.loss_iou: 0.9700, loss: 13.2129, grad_norm: 12.1128 2022-10-26 21:18:55,528 - mmdet - INFO - Epoch [17][1350/1849] lr: 2.000e-04, eta: 5:55:52, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1875, loss_bbox: 0.6644, loss_iou: 0.9717, d0.loss_bbox: 0.7194, d0.loss_iou: 1.0390, d1.loss_bbox: 0.6938, d1.loss_iou: 1.0089, d2.loss_bbox: 0.6789, d2.loss_iou: 0.9899, d3.loss_bbox: 0.6687, d3.loss_iou: 0.9775, d4.loss_bbox: 0.6643, d4.loss_iou: 0.9721, loss: 13.2360, grad_norm: 11.8432 2022-10-26 21:19:13,212 - mmdet - INFO - Epoch [17][1400/1849] lr: 2.000e-04, eta: 5:55:35, time: 0.354, data_time: 0.008, memory: 4054, loss_contrastive: 3.1940, loss_bbox: 0.6673, loss_iou: 0.9792, d0.loss_bbox: 0.7217, d0.loss_iou: 1.0460, d1.loss_bbox: 0.6977, d1.loss_iou: 1.0161, d2.loss_bbox: 0.6832, d2.loss_iou: 0.9971, d3.loss_bbox: 0.6727, d3.loss_iou: 0.9854, d4.loss_bbox: 0.6678, d4.loss_iou: 0.9793, loss: 13.3073, grad_norm: 13.0214 2022-10-26 21:19:31,025 - mmdet - INFO - Epoch [17][1450/1849] lr: 2.000e-04, eta: 5:55:19, time: 0.356, data_time: 0.008, memory: 4054, loss_contrastive: 3.1912, loss_bbox: 0.6655, loss_iou: 0.9756, d0.loss_bbox: 0.7203, d0.loss_iou: 1.0427, d1.loss_bbox: 0.6950, d1.loss_iou: 1.0130, d2.loss_bbox: 0.6816, d2.loss_iou: 0.9929, d3.loss_bbox: 0.6706, d3.loss_iou: 0.9815, d4.loss_bbox: 0.6659, d4.loss_iou: 0.9761, loss: 13.2718, grad_norm: 12.8810 2022-10-26 21:19:48,795 - mmdet - INFO - Epoch [17][1500/1849] lr: 2.000e-04, eta: 5:55:02, time: 0.356, data_time: 0.008, memory: 4054, loss_contrastive: 3.1839, loss_bbox: 0.6632, loss_iou: 0.9736, d0.loss_bbox: 0.7174, d0.loss_iou: 1.0406, d1.loss_bbox: 0.6934, d1.loss_iou: 1.0109, d2.loss_bbox: 0.6792, d2.loss_iou: 0.9923, d3.loss_bbox: 0.6688, d3.loss_iou: 0.9794, d4.loss_bbox: 0.6635, d4.loss_iou: 0.9740, loss: 13.2404, grad_norm: 13.6040 2022-10-26 21:20:06,337 - mmdet - INFO - Epoch [17][1550/1849] lr: 2.000e-04, eta: 5:54:45, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1884, loss_bbox: 0.6665, loss_iou: 0.9726, d0.loss_bbox: 0.7205, d0.loss_iou: 1.0413, d1.loss_bbox: 0.6958, d1.loss_iou: 1.0093, d2.loss_bbox: 0.6812, d2.loss_iou: 0.9904, d3.loss_bbox: 0.6711, d3.loss_iou: 0.9787, d4.loss_bbox: 0.6666, d4.loss_iou: 0.9730, loss: 13.2554, grad_norm: 15.1458 2022-10-26 21:20:23,944 - mmdet - INFO - Epoch [17][1600/1849] lr: 2.000e-04, eta: 5:54:28, time: 0.352, data_time: 0.008, memory: 4054, loss_contrastive: 3.1839, loss_bbox: 0.6674, loss_iou: 0.9749, d0.loss_bbox: 0.7213, d0.loss_iou: 1.0427, d1.loss_bbox: 0.6971, d1.loss_iou: 1.0126, d2.loss_bbox: 0.6819, d2.loss_iou: 0.9925, d3.loss_bbox: 0.6717, d3.loss_iou: 0.9805, d4.loss_bbox: 0.6672, d4.loss_iou: 0.9752, loss: 13.2688, grad_norm: 12.7376 2022-10-26 21:20:41,566 - mmdet - INFO - Epoch [17][1650/1849] lr: 2.000e-04, eta: 5:54:11, time: 0.352, data_time: 0.008, memory: 4054, loss_contrastive: 3.1839, loss_bbox: 0.6633, loss_iou: 0.9719, d0.loss_bbox: 0.7154, d0.loss_iou: 1.0389, d1.loss_bbox: 0.6927, d1.loss_iou: 1.0086, d2.loss_bbox: 0.6778, d2.loss_iou: 0.9894, d3.loss_bbox: 0.6681, d3.loss_iou: 0.9773, d4.loss_bbox: 0.6635, d4.loss_iou: 0.9723, loss: 13.2231, grad_norm: 14.1585 2022-10-26 21:20:59,208 - mmdet - INFO - Epoch [17][1700/1849] lr: 2.000e-04, eta: 5:53:55, time: 0.353, data_time: 0.009, memory: 4054, loss_contrastive: 3.1830, loss_bbox: 0.6625, loss_iou: 0.9699, d0.loss_bbox: 0.7178, d0.loss_iou: 1.0384, d1.loss_bbox: 0.6915, d1.loss_iou: 1.0070, d2.loss_bbox: 0.6772, d2.loss_iou: 0.9875, d3.loss_bbox: 0.6672, d3.loss_iou: 0.9754, d4.loss_bbox: 0.6628, d4.loss_iou: 0.9702, loss: 13.2105, grad_norm: 13.6958 2022-10-26 21:21:17,063 - mmdet - INFO - Epoch [17][1750/1849] lr: 2.000e-04, eta: 5:53:38, time: 0.357, data_time: 0.009, memory: 4054, loss_contrastive: 3.1886, loss_bbox: 0.6665, loss_iou: 0.9714, d0.loss_bbox: 0.7222, d0.loss_iou: 1.0402, d1.loss_bbox: 0.6966, d1.loss_iou: 1.0084, d2.loss_bbox: 0.6820, d2.loss_iou: 0.9894, d3.loss_bbox: 0.6719, d3.loss_iou: 0.9772, d4.loss_bbox: 0.6669, d4.loss_iou: 0.9715, loss: 13.2528, grad_norm: 12.4304 2022-10-26 21:21:34,674 - mmdet - INFO - Epoch [17][1800/1849] lr: 2.000e-04, eta: 5:53:21, time: 0.352, data_time: 0.008, memory: 4054, loss_contrastive: 3.1884, loss_bbox: 0.6671, loss_iou: 0.9752, d0.loss_bbox: 0.7202, d0.loss_iou: 1.0425, d1.loss_bbox: 0.6958, d1.loss_iou: 1.0114, d2.loss_bbox: 0.6828, d2.loss_iou: 0.9930, d3.loss_bbox: 0.6718, d3.loss_iou: 0.9817, d4.loss_bbox: 0.6674, d4.loss_iou: 0.9756, loss: 13.2730, grad_norm: 13.8534 2022-10-26 21:21:51,994 - mmdet - INFO - Saving checkpoint at 17 epochs 2022-10-26 21:22:13,929 - mmdet - INFO - Epoch [18][50/1849] lr: 2.000e-04, eta: 5:52:21, time: 0.415, data_time: 0.069, memory: 4054, loss_contrastive: 3.1822, loss_bbox: 0.6626, loss_iou: 0.9707, d0.loss_bbox: 0.7177, d0.loss_iou: 1.0386, d1.loss_bbox: 0.6925, d1.loss_iou: 1.0077, d2.loss_bbox: 0.6782, d2.loss_iou: 0.9873, d3.loss_bbox: 0.6674, d3.loss_iou: 0.9764, d4.loss_bbox: 0.6629, d4.loss_iou: 0.9712, loss: 13.2155, grad_norm: 13.7339 2022-10-26 21:22:31,761 - mmdet - INFO - Epoch [18][100/1849] lr: 2.000e-04, eta: 5:52:04, time: 0.357, data_time: 0.009, memory: 4054, loss_contrastive: 3.1858, loss_bbox: 0.6590, loss_iou: 0.9702, d0.loss_bbox: 0.7144, d0.loss_iou: 1.0396, d1.loss_bbox: 0.6894, d1.loss_iou: 1.0083, d2.loss_bbox: 0.6743, d2.loss_iou: 0.9887, d3.loss_bbox: 0.6638, d3.loss_iou: 0.9761, d4.loss_bbox: 0.6591, d4.loss_iou: 0.9706, loss: 13.1991, grad_norm: 12.4145 2022-10-26 21:22:49,285 - mmdet - INFO - Epoch [18][150/1849] lr: 2.000e-04, eta: 5:51:47, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1814, loss_bbox: 0.6617, loss_iou: 0.9694, d0.loss_bbox: 0.7164, d0.loss_iou: 1.0385, d1.loss_bbox: 0.6916, d1.loss_iou: 1.0070, d2.loss_bbox: 0.6759, d2.loss_iou: 0.9870, d3.loss_bbox: 0.6660, d3.loss_iou: 0.9749, d4.loss_bbox: 0.6622, d4.loss_iou: 0.9694, loss: 13.2015, grad_norm: 14.1312 2022-10-26 21:23:06,907 - mmdet - INFO - Epoch [18][200/1849] lr: 2.000e-04, eta: 5:51:30, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.1821, loss_bbox: 0.6601, loss_iou: 0.9678, d0.loss_bbox: 0.7169, d0.loss_iou: 1.0368, d1.loss_bbox: 0.6898, d1.loss_iou: 1.0055, d2.loss_bbox: 0.6752, d2.loss_iou: 0.9850, d3.loss_bbox: 0.6646, d3.loss_iou: 0.9734, d4.loss_bbox: 0.6603, d4.loss_iou: 0.9682, loss: 13.1858, grad_norm: 12.9075 2022-10-26 21:23:24,424 - mmdet - INFO - Epoch [18][250/1849] lr: 2.000e-04, eta: 5:51:13, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1892, loss_bbox: 0.6641, loss_iou: 0.9730, d0.loss_bbox: 0.7194, d0.loss_iou: 1.0419, d1.loss_bbox: 0.6939, d1.loss_iou: 1.0113, d2.loss_bbox: 0.6785, d2.loss_iou: 0.9918, d3.loss_bbox: 0.6682, d3.loss_iou: 0.9792, d4.loss_bbox: 0.6643, d4.loss_iou: 0.9735, loss: 13.2481, grad_norm: 12.4309 2022-10-26 21:23:41,882 - mmdet - INFO - Epoch [18][300/1849] lr: 2.000e-04, eta: 5:50:56, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1840, loss_bbox: 0.6640, loss_iou: 0.9678, d0.loss_bbox: 0.7190, d0.loss_iou: 1.0352, d1.loss_bbox: 0.6938, d1.loss_iou: 1.0038, d2.loss_bbox: 0.6788, d2.loss_iou: 0.9850, d3.loss_bbox: 0.6692, d3.loss_iou: 0.9733, d4.loss_bbox: 0.6641, d4.loss_iou: 0.9683, loss: 13.2062, grad_norm: 15.8507 2022-10-26 21:23:59,574 - mmdet - INFO - Epoch [18][350/1849] lr: 2.000e-04, eta: 5:50:40, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.1804, loss_bbox: 0.6616, loss_iou: 0.9716, d0.loss_bbox: 0.7164, d0.loss_iou: 1.0382, d1.loss_bbox: 0.6926, d1.loss_iou: 1.0082, d2.loss_bbox: 0.6775, d2.loss_iou: 0.9888, d3.loss_bbox: 0.6668, d3.loss_iou: 0.9770, d4.loss_bbox: 0.6621, d4.loss_iou: 0.9719, loss: 13.2132, grad_norm: 12.6745 2022-10-26 21:24:17,128 - mmdet - INFO - Epoch [18][400/1849] lr: 2.000e-04, eta: 5:50:23, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1852, loss_bbox: 0.6634, loss_iou: 0.9741, d0.loss_bbox: 0.7183, d0.loss_iou: 1.0431, d1.loss_bbox: 0.6939, d1.loss_iou: 1.0112, d2.loss_bbox: 0.6782, d2.loss_iou: 0.9928, d3.loss_bbox: 0.6688, d3.loss_iou: 0.9803, d4.loss_bbox: 0.6634, d4.loss_iou: 0.9747, loss: 13.2472, grad_norm: 14.1551 2022-10-26 21:24:35,120 - mmdet - INFO - Epoch [18][450/1849] lr: 2.000e-04, eta: 5:50:07, time: 0.360, data_time: 0.009, memory: 4054, loss_contrastive: 3.1799, loss_bbox: 0.6601, loss_iou: 0.9655, d0.loss_bbox: 0.7150, d0.loss_iou: 1.0344, d1.loss_bbox: 0.6900, d1.loss_iou: 1.0029, d2.loss_bbox: 0.6748, d2.loss_iou: 0.9830, d3.loss_bbox: 0.6649, d3.loss_iou: 0.9717, d4.loss_bbox: 0.6604, d4.loss_iou: 0.9660, loss: 13.1685, grad_norm: 15.3808 2022-10-26 21:24:52,824 - mmdet - INFO - Epoch [18][500/1849] lr: 2.000e-04, eta: 5:49:50, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.1793, loss_bbox: 0.6646, loss_iou: 0.9735, d0.loss_bbox: 0.7182, d0.loss_iou: 1.0396, d1.loss_bbox: 0.6936, d1.loss_iou: 1.0106, d2.loss_bbox: 0.6795, d2.loss_iou: 0.9910, d3.loss_bbox: 0.6694, d3.loss_iou: 0.9789, d4.loss_bbox: 0.6654, d4.loss_iou: 0.9735, loss: 13.2370, grad_norm: 13.1539 2022-10-26 21:25:10,606 - mmdet - INFO - Epoch [18][550/1849] lr: 2.000e-04, eta: 5:49:34, time: 0.356, data_time: 0.010, memory: 4054, loss_contrastive: 3.1860, loss_bbox: 0.6590, loss_iou: 0.9703, d0.loss_bbox: 0.7131, d0.loss_iou: 1.0372, d1.loss_bbox: 0.6885, d1.loss_iou: 1.0071, d2.loss_bbox: 0.6737, d2.loss_iou: 0.9875, d3.loss_bbox: 0.6635, d3.loss_iou: 0.9757, d4.loss_bbox: 0.6591, d4.loss_iou: 0.9705, loss: 13.1911, grad_norm: 14.3607 2022-10-26 21:25:28,455 - mmdet - INFO - Epoch [18][600/1849] lr: 2.000e-04, eta: 5:49:17, time: 0.357, data_time: 0.009, memory: 4054, loss_contrastive: 3.1841, loss_bbox: 0.6625, loss_iou: 0.9738, d0.loss_bbox: 0.7184, d0.loss_iou: 1.0435, d1.loss_bbox: 0.6928, d1.loss_iou: 1.0124, d2.loss_bbox: 0.6782, d2.loss_iou: 0.9925, d3.loss_bbox: 0.6676, d3.loss_iou: 0.9803, d4.loss_bbox: 0.6632, d4.loss_iou: 0.9739, loss: 13.2431, grad_norm: 14.3822 2022-10-26 21:25:45,975 - mmdet - INFO - Epoch [18][650/1849] lr: 2.000e-04, eta: 5:49:00, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1763, loss_bbox: 0.6568, loss_iou: 0.9704, d0.loss_bbox: 0.7113, d0.loss_iou: 1.0388, d1.loss_bbox: 0.6869, d1.loss_iou: 1.0086, d2.loss_bbox: 0.6720, d2.loss_iou: 0.9889, d3.loss_bbox: 0.6619, d3.loss_iou: 0.9765, d4.loss_bbox: 0.6574, d4.loss_iou: 0.9712, loss: 13.1770, grad_norm: 14.5960 2022-10-26 21:26:03,419 - mmdet - INFO - Epoch [18][700/1849] lr: 2.000e-04, eta: 5:48:43, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1750, loss_bbox: 0.6635, loss_iou: 0.9689, d0.loss_bbox: 0.7183, d0.loss_iou: 1.0375, d1.loss_bbox: 0.6925, d1.loss_iou: 1.0060, d2.loss_bbox: 0.6781, d2.loss_iou: 0.9867, d3.loss_bbox: 0.6681, d3.loss_iou: 0.9746, d4.loss_bbox: 0.6633, d4.loss_iou: 0.9692, loss: 13.2018, grad_norm: 12.0235 2022-10-26 21:26:21,272 - mmdet - INFO - Epoch [18][750/1849] lr: 2.000e-04, eta: 5:48:27, time: 0.357, data_time: 0.009, memory: 4054, loss_contrastive: 3.1812, loss_bbox: 0.6602, loss_iou: 0.9712, d0.loss_bbox: 0.7156, d0.loss_iou: 1.0398, d1.loss_bbox: 0.6896, d1.loss_iou: 1.0085, d2.loss_bbox: 0.6758, d2.loss_iou: 0.9892, d3.loss_bbox: 0.6654, d3.loss_iou: 0.9768, d4.loss_bbox: 0.6604, d4.loss_iou: 0.9716, loss: 13.2053, grad_norm: 12.1565 2022-10-26 21:26:38,785 - mmdet - INFO - Epoch [18][800/1849] lr: 2.000e-04, eta: 5:48:10, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1808, loss_bbox: 0.6601, loss_iou: 0.9690, d0.loss_bbox: 0.7167, d0.loss_iou: 1.0391, d1.loss_bbox: 0.6915, d1.loss_iou: 1.0070, d2.loss_bbox: 0.6758, d2.loss_iou: 0.9869, d3.loss_bbox: 0.6650, d3.loss_iou: 0.9757, d4.loss_bbox: 0.6605, d4.loss_iou: 0.9694, loss: 13.1973, grad_norm: 12.5841 2022-10-26 21:26:56,365 - mmdet - INFO - Epoch [18][850/1849] lr: 2.000e-04, eta: 5:47:53, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1829, loss_bbox: 0.6623, loss_iou: 0.9734, d0.loss_bbox: 0.7163, d0.loss_iou: 1.0409, d1.loss_bbox: 0.6917, d1.loss_iou: 1.0115, d2.loss_bbox: 0.6769, d2.loss_iou: 0.9914, d3.loss_bbox: 0.6671, d3.loss_iou: 0.9791, d4.loss_bbox: 0.6624, d4.loss_iou: 0.9737, loss: 13.2296, grad_norm: 12.2867 2022-10-26 21:27:13,928 - mmdet - INFO - Epoch [18][900/1849] lr: 2.000e-04, eta: 5:47:36, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1840, loss_bbox: 0.6612, loss_iou: 0.9693, d0.loss_bbox: 0.7170, d0.loss_iou: 1.0381, d1.loss_bbox: 0.6917, d1.loss_iou: 1.0062, d2.loss_bbox: 0.6774, d2.loss_iou: 0.9874, d3.loss_bbox: 0.6666, d3.loss_iou: 0.9751, d4.loss_bbox: 0.6617, d4.loss_iou: 0.9693, loss: 13.2049, grad_norm: 13.5275 2022-10-26 21:27:31,512 - mmdet - INFO - Epoch [18][950/1849] lr: 2.000e-04, eta: 5:47:19, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.1841, loss_bbox: 0.6614, loss_iou: 0.9713, d0.loss_bbox: 0.7176, d0.loss_iou: 1.0406, d1.loss_bbox: 0.6923, d1.loss_iou: 1.0093, d2.loss_bbox: 0.6775, d2.loss_iou: 0.9891, d3.loss_bbox: 0.6664, d3.loss_iou: 0.9775, d4.loss_bbox: 0.6619, d4.loss_iou: 0.9714, loss: 13.2205, grad_norm: 13.7097 2022-10-26 21:27:49,319 - mmdet - INFO - Epoch [18][1000/1849] lr: 2.000e-04, eta: 5:47:02, time: 0.356, data_time: 0.009, memory: 4054, loss_contrastive: 3.1714, loss_bbox: 0.6624, loss_iou: 0.9740, d0.loss_bbox: 0.7174, d0.loss_iou: 1.0441, d1.loss_bbox: 0.6927, d1.loss_iou: 1.0127, d2.loss_bbox: 0.6780, d2.loss_iou: 0.9919, d3.loss_bbox: 0.6673, d3.loss_iou: 0.9799, d4.loss_bbox: 0.6629, d4.loss_iou: 0.9740, loss: 13.2287, grad_norm: 13.4626 2022-10-26 21:28:06,999 - mmdet - INFO - Epoch [18][1050/1849] lr: 2.000e-04, eta: 5:46:46, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.1834, loss_bbox: 0.6639, loss_iou: 0.9760, d0.loss_bbox: 0.7184, d0.loss_iou: 1.0431, d1.loss_bbox: 0.6933, d1.loss_iou: 1.0129, d2.loss_bbox: 0.6788, d2.loss_iou: 0.9940, d3.loss_bbox: 0.6692, d3.loss_iou: 0.9818, d4.loss_bbox: 0.6643, d4.loss_iou: 0.9761, loss: 13.2552, grad_norm: 15.3123 2022-10-26 21:28:24,823 - mmdet - INFO - Epoch [18][1100/1849] lr: 2.000e-04, eta: 5:46:29, time: 0.356, data_time: 0.009, memory: 4054, loss_contrastive: 3.1772, loss_bbox: 0.6602, loss_iou: 0.9669, d0.loss_bbox: 0.7148, d0.loss_iou: 1.0347, d1.loss_bbox: 0.6906, d1.loss_iou: 1.0037, d2.loss_bbox: 0.6755, d2.loss_iou: 0.9848, d3.loss_bbox: 0.6657, d3.loss_iou: 0.9731, d4.loss_bbox: 0.6606, d4.loss_iou: 0.9671, loss: 13.1749, grad_norm: 14.7646 2022-10-26 21:28:42,435 - mmdet - INFO - Epoch [18][1150/1849] lr: 2.000e-04, eta: 5:46:12, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.1764, loss_bbox: 0.6593, loss_iou: 0.9695, d0.loss_bbox: 0.7125, d0.loss_iou: 1.0381, d1.loss_bbox: 0.6888, d1.loss_iou: 1.0077, d2.loss_bbox: 0.6748, d2.loss_iou: 0.9882, d3.loss_bbox: 0.6644, d3.loss_iou: 0.9755, d4.loss_bbox: 0.6599, d4.loss_iou: 0.9699, loss: 13.1851, grad_norm: 11.9519 2022-10-26 21:28:59,987 - mmdet - INFO - Epoch [18][1200/1849] lr: 2.000e-04, eta: 5:45:55, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1886, loss_bbox: 0.6602, loss_iou: 0.9680, d0.loss_bbox: 0.7148, d0.loss_iou: 1.0356, d1.loss_bbox: 0.6896, d1.loss_iou: 1.0044, d2.loss_bbox: 0.6747, d2.loss_iou: 0.9852, d3.loss_bbox: 0.6651, d3.loss_iou: 0.9734, d4.loss_bbox: 0.6607, d4.loss_iou: 0.9679, loss: 13.1882, grad_norm: 15.1293 2022-10-26 21:29:17,506 - mmdet - INFO - Epoch [18][1250/1849] lr: 2.000e-04, eta: 5:45:38, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1756, loss_bbox: 0.6627, loss_iou: 0.9708, d0.loss_bbox: 0.7161, d0.loss_iou: 1.0381, d1.loss_bbox: 0.6914, d1.loss_iou: 1.0072, d2.loss_bbox: 0.6770, d2.loss_iou: 0.9884, d3.loss_bbox: 0.6670, d3.loss_iou: 0.9765, d4.loss_bbox: 0.6629, d4.loss_iou: 0.9709, loss: 13.2047, grad_norm: 13.0366 2022-10-26 21:29:35,118 - mmdet - INFO - Epoch [18][1300/1849] lr: 2.000e-04, eta: 5:45:21, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.1711, loss_bbox: 0.6631, loss_iou: 0.9716, d0.loss_bbox: 0.7172, d0.loss_iou: 1.0387, d1.loss_bbox: 0.6931, d1.loss_iou: 1.0084, d2.loss_bbox: 0.6789, d2.loss_iou: 0.9902, d3.loss_bbox: 0.6687, d3.loss_iou: 0.9771, d4.loss_bbox: 0.6632, d4.loss_iou: 0.9719, loss: 13.2132, grad_norm: 13.0507 2022-10-26 21:29:52,657 - mmdet - INFO - Epoch [18][1350/1849] lr: 2.000e-04, eta: 5:45:04, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1839, loss_bbox: 0.6618, loss_iou: 0.9682, d0.loss_bbox: 0.7170, d0.loss_iou: 1.0387, d1.loss_bbox: 0.6916, d1.loss_iou: 1.0059, d2.loss_bbox: 0.6771, d2.loss_iou: 0.9855, d3.loss_bbox: 0.6668, d3.loss_iou: 0.9741, d4.loss_bbox: 0.6621, d4.loss_iou: 0.9686, loss: 13.2014, grad_norm: 12.6231 2022-10-26 21:30:10,195 - mmdet - INFO - Epoch [18][1400/1849] lr: 2.000e-04, eta: 5:44:47, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1793, loss_bbox: 0.6594, loss_iou: 0.9685, d0.loss_bbox: 0.7139, d0.loss_iou: 1.0362, d1.loss_bbox: 0.6883, d1.loss_iou: 1.0059, d2.loss_bbox: 0.6748, d2.loss_iou: 0.9862, d3.loss_bbox: 0.6641, d3.loss_iou: 0.9735, d4.loss_bbox: 0.6596, d4.loss_iou: 0.9685, loss: 13.1782, grad_norm: 13.2940 2022-10-26 21:30:27,690 - mmdet - INFO - Epoch [18][1450/1849] lr: 2.000e-04, eta: 5:44:30, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1794, loss_bbox: 0.6621, loss_iou: 0.9743, d0.loss_bbox: 0.7164, d0.loss_iou: 1.0412, d1.loss_bbox: 0.6914, d1.loss_iou: 1.0111, d2.loss_bbox: 0.6764, d2.loss_iou: 0.9926, d3.loss_bbox: 0.6668, d3.loss_iou: 0.9807, d4.loss_bbox: 0.6625, d4.loss_iou: 0.9747, loss: 13.2296, grad_norm: 14.0899 2022-10-26 21:30:45,220 - mmdet - INFO - Epoch [18][1500/1849] lr: 2.000e-04, eta: 5:44:13, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1828, loss_bbox: 0.6603, loss_iou: 0.9756, d0.loss_bbox: 0.7144, d0.loss_iou: 1.0432, d1.loss_bbox: 0.6904, d1.loss_iou: 1.0134, d2.loss_bbox: 0.6760, d2.loss_iou: 0.9935, d3.loss_bbox: 0.6657, d3.loss_iou: 0.9810, d4.loss_bbox: 0.6608, d4.loss_iou: 0.9758, loss: 13.2328, grad_norm: 14.1325 2022-10-26 21:31:02,562 - mmdet - INFO - Epoch [18][1550/1849] lr: 2.000e-04, eta: 5:43:56, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.1889, loss_bbox: 0.6643, loss_iou: 0.9697, d0.loss_bbox: 0.7185, d0.loss_iou: 1.0361, d1.loss_bbox: 0.6945, d1.loss_iou: 1.0067, d2.loss_bbox: 0.6799, d2.loss_iou: 0.9883, d3.loss_bbox: 0.6696, d3.loss_iou: 0.9759, d4.loss_bbox: 0.6645, d4.loss_iou: 0.9702, loss: 13.2270, grad_norm: 12.4276 2022-10-26 21:31:20,508 - mmdet - INFO - Epoch [18][1600/1849] lr: 2.000e-04, eta: 5:43:40, time: 0.359, data_time: 0.009, memory: 4054, loss_contrastive: 3.1861, loss_bbox: 0.6629, loss_iou: 0.9706, d0.loss_bbox: 0.7164, d0.loss_iou: 1.0387, d1.loss_bbox: 0.6918, d1.loss_iou: 1.0086, d2.loss_bbox: 0.6783, d2.loss_iou: 0.9891, d3.loss_bbox: 0.6676, d3.loss_iou: 0.9776, d4.loss_bbox: 0.6632, d4.loss_iou: 0.9713, loss: 13.2222, grad_norm: 13.1480 2022-10-26 21:31:38,093 - mmdet - INFO - Epoch [18][1650/1849] lr: 2.000e-04, eta: 5:43:23, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.1746, loss_bbox: 0.6591, loss_iou: 0.9662, d0.loss_bbox: 0.7145, d0.loss_iou: 1.0354, d1.loss_bbox: 0.6891, d1.loss_iou: 1.0035, d2.loss_bbox: 0.6748, d2.loss_iou: 0.9844, d3.loss_bbox: 0.6646, d3.loss_iou: 0.9726, d4.loss_bbox: 0.6597, d4.loss_iou: 0.9666, loss: 13.1652, grad_norm: 15.9855 2022-10-26 21:31:55,646 - mmdet - INFO - Epoch [18][1700/1849] lr: 2.000e-04, eta: 5:43:06, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1726, loss_bbox: 0.6587, loss_iou: 0.9694, d0.loss_bbox: 0.7126, d0.loss_iou: 1.0377, d1.loss_bbox: 0.6891, d1.loss_iou: 1.0072, d2.loss_bbox: 0.6739, d2.loss_iou: 0.9878, d3.loss_bbox: 0.6640, d3.loss_iou: 0.9758, d4.loss_bbox: 0.6591, d4.loss_iou: 0.9698, loss: 13.1776, grad_norm: 16.2828 2022-10-26 21:32:13,185 - mmdet - INFO - Epoch [18][1750/1849] lr: 2.000e-04, eta: 5:42:49, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1871, loss_bbox: 0.6608, loss_iou: 0.9698, d0.loss_bbox: 0.7173, d0.loss_iou: 1.0396, d1.loss_bbox: 0.6920, d1.loss_iou: 1.0086, d2.loss_bbox: 0.6770, d2.loss_iou: 0.9885, d3.loss_bbox: 0.6666, d3.loss_iou: 0.9765, d4.loss_bbox: 0.6613, d4.loss_iou: 0.9702, loss: 13.2154, grad_norm: 15.7047 2022-10-26 21:32:30,607 - mmdet - INFO - Epoch [18][1800/1849] lr: 2.000e-04, eta: 5:42:31, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.1821, loss_bbox: 0.6591, loss_iou: 0.9704, d0.loss_bbox: 0.7134, d0.loss_iou: 1.0392, d1.loss_bbox: 0.6891, d1.loss_iou: 1.0086, d2.loss_bbox: 0.6743, d2.loss_iou: 0.9890, d3.loss_bbox: 0.6644, d3.loss_iou: 0.9770, d4.loss_bbox: 0.6596, d4.loss_iou: 0.9709, loss: 13.1970, grad_norm: 14.8293 2022-10-26 21:32:47,941 - mmdet - INFO - Saving checkpoint at 18 epochs 2022-10-26 21:33:09,783 - mmdet - INFO - Epoch [19][50/1849] lr: 2.000e-04, eta: 5:41:32, time: 0.409, data_time: 0.069, memory: 4054, loss_contrastive: 3.1785, loss_bbox: 0.6617, loss_iou: 0.9671, d0.loss_bbox: 0.7189, d0.loss_iou: 1.0352, d1.loss_bbox: 0.6924, d1.loss_iou: 1.0053, d2.loss_bbox: 0.6767, d2.loss_iou: 0.9853, d3.loss_bbox: 0.6670, d3.loss_iou: 0.9733, d4.loss_bbox: 0.6622, d4.loss_iou: 0.9675, loss: 13.1913, grad_norm: 13.7763 2022-10-26 21:33:27,313 - mmdet - INFO - Epoch [19][100/1849] lr: 2.000e-04, eta: 5:41:15, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1821, loss_bbox: 0.6584, loss_iou: 0.9693, d0.loss_bbox: 0.7159, d0.loss_iou: 1.0402, d1.loss_bbox: 0.6905, d1.loss_iou: 1.0086, d2.loss_bbox: 0.6747, d2.loss_iou: 0.9881, d3.loss_bbox: 0.6639, d3.loss_iou: 0.9758, d4.loss_bbox: 0.6587, d4.loss_iou: 0.9697, loss: 13.1956, grad_norm: 14.6262 2022-10-26 21:33:44,796 - mmdet - INFO - Epoch [19][150/1849] lr: 2.000e-04, eta: 5:40:58, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1722, loss_bbox: 0.6571, loss_iou: 0.9657, d0.loss_bbox: 0.7123, d0.loss_iou: 1.0358, d1.loss_bbox: 0.6872, d1.loss_iou: 1.0040, d2.loss_bbox: 0.6721, d2.loss_iou: 0.9839, d3.loss_bbox: 0.6624, d3.loss_iou: 0.9723, d4.loss_bbox: 0.6576, d4.loss_iou: 0.9663, loss: 13.1489, grad_norm: 12.2067 2022-10-26 21:34:01,960 - mmdet - INFO - Epoch [19][200/1849] lr: 2.000e-04, eta: 5:40:41, time: 0.343, data_time: 0.009, memory: 4054, loss_contrastive: 3.1776, loss_bbox: 0.6582, loss_iou: 0.9702, d0.loss_bbox: 0.7128, d0.loss_iou: 1.0383, d1.loss_bbox: 0.6895, d1.loss_iou: 1.0084, d2.loss_bbox: 0.6738, d2.loss_iou: 0.9886, d3.loss_bbox: 0.6639, d3.loss_iou: 0.9763, d4.loss_bbox: 0.6585, d4.loss_iou: 0.9711, loss: 13.1871, grad_norm: 15.9097 2022-10-26 21:34:19,443 - mmdet - INFO - Epoch [19][250/1849] lr: 2.000e-04, eta: 5:40:24, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1786, loss_bbox: 0.6617, loss_iou: 0.9675, d0.loss_bbox: 0.7170, d0.loss_iou: 1.0359, d1.loss_bbox: 0.6909, d1.loss_iou: 1.0035, d2.loss_bbox: 0.6771, d2.loss_iou: 0.9849, d3.loss_bbox: 0.6669, d3.loss_iou: 0.9732, d4.loss_bbox: 0.6621, d4.loss_iou: 0.9674, loss: 13.1866, grad_norm: 13.7997 2022-10-26 21:34:36,838 - mmdet - INFO - Epoch [19][300/1849] lr: 2.000e-04, eta: 5:40:06, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.1821, loss_bbox: 0.6627, loss_iou: 0.9685, d0.loss_bbox: 0.7170, d0.loss_iou: 1.0370, d1.loss_bbox: 0.6917, d1.loss_iou: 1.0064, d2.loss_bbox: 0.6776, d2.loss_iou: 0.9873, d3.loss_bbox: 0.6675, d3.loss_iou: 0.9747, d4.loss_bbox: 0.6629, d4.loss_iou: 0.9689, loss: 13.2044, grad_norm: 14.2419 2022-10-26 21:34:54,235 - mmdet - INFO - Epoch [19][350/1849] lr: 2.000e-04, eta: 5:39:49, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.1805, loss_bbox: 0.6611, loss_iou: 0.9667, d0.loss_bbox: 0.7158, d0.loss_iou: 1.0367, d1.loss_bbox: 0.6917, d1.loss_iou: 1.0040, d2.loss_bbox: 0.6767, d2.loss_iou: 0.9850, d3.loss_bbox: 0.6664, d3.loss_iou: 0.9725, d4.loss_bbox: 0.6611, d4.loss_iou: 0.9670, loss: 13.1851, grad_norm: 12.8985 2022-10-26 21:35:11,554 - mmdet - INFO - Epoch [19][400/1849] lr: 2.000e-04, eta: 5:39:32, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.1791, loss_bbox: 0.6623, loss_iou: 0.9705, d0.loss_bbox: 0.7166, d0.loss_iou: 1.0389, d1.loss_bbox: 0.6911, d1.loss_iou: 1.0078, d2.loss_bbox: 0.6774, d2.loss_iou: 0.9883, d3.loss_bbox: 0.6673, d3.loss_iou: 0.9773, d4.loss_bbox: 0.6626, d4.loss_iou: 0.9711, loss: 13.2105, grad_norm: 13.5015 2022-10-26 21:35:28,905 - mmdet - INFO - Epoch [19][450/1849] lr: 2.000e-04, eta: 5:39:14, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.1721, loss_bbox: 0.6600, loss_iou: 0.9690, d0.loss_bbox: 0.7137, d0.loss_iou: 1.0369, d1.loss_bbox: 0.6897, d1.loss_iou: 1.0059, d2.loss_bbox: 0.6752, d2.loss_iou: 0.9874, d3.loss_bbox: 0.6650, d3.loss_iou: 0.9749, d4.loss_bbox: 0.6607, d4.loss_iou: 0.9689, loss: 13.1794, grad_norm: 15.3885 2022-10-26 21:35:46,128 - mmdet - INFO - Epoch [19][500/1849] lr: 2.000e-04, eta: 5:38:57, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.1777, loss_bbox: 0.6590, loss_iou: 0.9697, d0.loss_bbox: 0.7145, d0.loss_iou: 1.0385, d1.loss_bbox: 0.6889, d1.loss_iou: 1.0073, d2.loss_bbox: 0.6744, d2.loss_iou: 0.9875, d3.loss_bbox: 0.6641, d3.loss_iou: 0.9757, d4.loss_bbox: 0.6593, d4.loss_iou: 0.9701, loss: 13.1868, grad_norm: 13.0513 2022-10-26 21:36:03,554 - mmdet - INFO - Epoch [19][550/1849] lr: 2.000e-04, eta: 5:38:40, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.1731, loss_bbox: 0.6540, loss_iou: 0.9678, d0.loss_bbox: 0.7117, d0.loss_iou: 1.0392, d1.loss_bbox: 0.6859, d1.loss_iou: 1.0068, d2.loss_bbox: 0.6702, d2.loss_iou: 0.9875, d3.loss_bbox: 0.6595, d3.loss_iou: 0.9741, d4.loss_bbox: 0.6543, d4.loss_iou: 0.9683, loss: 13.1523, grad_norm: 13.4602 2022-10-26 21:36:21,061 - mmdet - INFO - Epoch [19][600/1849] lr: 2.000e-04, eta: 5:38:23, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1771, loss_bbox: 0.6588, loss_iou: 0.9688, d0.loss_bbox: 0.7150, d0.loss_iou: 1.0378, d1.loss_bbox: 0.6896, d1.loss_iou: 1.0071, d2.loss_bbox: 0.6753, d2.loss_iou: 0.9869, d3.loss_bbox: 0.6642, d3.loss_iou: 0.9746, d4.loss_bbox: 0.6593, d4.loss_iou: 0.9689, loss: 13.1833, grad_norm: 14.9833 2022-10-26 21:36:38,218 - mmdet - INFO - Epoch [19][650/1849] lr: 2.000e-04, eta: 5:38:05, time: 0.343, data_time: 0.009, memory: 4054, loss_contrastive: 3.1812, loss_bbox: 0.6626, loss_iou: 0.9731, d0.loss_bbox: 0.7169, d0.loss_iou: 1.0402, d1.loss_bbox: 0.6922, d1.loss_iou: 1.0110, d2.loss_bbox: 0.6776, d2.loss_iou: 0.9914, d3.loss_bbox: 0.6678, d3.loss_iou: 0.9798, d4.loss_bbox: 0.6629, d4.loss_iou: 0.9739, loss: 13.2305, grad_norm: 13.9564 2022-10-26 21:36:55,662 - mmdet - INFO - Epoch [19][700/1849] lr: 2.000e-04, eta: 5:37:48, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1735, loss_bbox: 0.6600, loss_iou: 0.9694, d0.loss_bbox: 0.7173, d0.loss_iou: 1.0411, d1.loss_bbox: 0.6928, d1.loss_iou: 1.0106, d2.loss_bbox: 0.6770, d2.loss_iou: 0.9893, d3.loss_bbox: 0.6660, d3.loss_iou: 0.9760, d4.loss_bbox: 0.6601, d4.loss_iou: 0.9697, loss: 13.2029, grad_norm: 13.1187 2022-10-26 21:37:13,170 - mmdet - INFO - Epoch [19][750/1849] lr: 2.000e-04, eta: 5:37:31, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1764, loss_bbox: 0.6641, loss_iou: 0.9701, d0.loss_bbox: 0.7186, d0.loss_iou: 1.0388, d1.loss_bbox: 0.6939, d1.loss_iou: 1.0074, d2.loss_bbox: 0.6797, d2.loss_iou: 0.9877, d3.loss_bbox: 0.6695, d3.loss_iou: 0.9756, d4.loss_bbox: 0.6645, d4.loss_iou: 0.9702, loss: 13.2164, grad_norm: 13.1278 2022-10-26 21:37:30,618 - mmdet - INFO - Epoch [19][800/1849] lr: 2.000e-04, eta: 5:37:14, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1753, loss_bbox: 0.6613, loss_iou: 0.9694, d0.loss_bbox: 0.7168, d0.loss_iou: 1.0366, d1.loss_bbox: 0.6909, d1.loss_iou: 1.0068, d2.loss_bbox: 0.6754, d2.loss_iou: 0.9868, d3.loss_bbox: 0.6660, d3.loss_iou: 0.9750, d4.loss_bbox: 0.6617, d4.loss_iou: 0.9696, loss: 13.1916, grad_norm: 12.8320 2022-10-26 21:37:48,153 - mmdet - INFO - Epoch [19][850/1849] lr: 2.000e-04, eta: 5:36:57, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1769, loss_bbox: 0.6654, loss_iou: 0.9712, d0.loss_bbox: 0.7181, d0.loss_iou: 1.0376, d1.loss_bbox: 0.6939, d1.loss_iou: 1.0079, d2.loss_bbox: 0.6794, d2.loss_iou: 0.9896, d3.loss_bbox: 0.6699, d3.loss_iou: 0.9770, d4.loss_bbox: 0.6657, d4.loss_iou: 0.9713, loss: 13.2238, grad_norm: 13.6233 2022-10-26 21:38:05,680 - mmdet - INFO - Epoch [19][900/1849] lr: 2.000e-04, eta: 5:36:40, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1718, loss_bbox: 0.6609, loss_iou: 0.9677, d0.loss_bbox: 0.7165, d0.loss_iou: 1.0376, d1.loss_bbox: 0.6923, d1.loss_iou: 1.0060, d2.loss_bbox: 0.6767, d2.loss_iou: 0.9865, d3.loss_bbox: 0.6668, d3.loss_iou: 0.9745, d4.loss_bbox: 0.6614, d4.loss_iou: 0.9680, loss: 13.1865, grad_norm: 11.9692 2022-10-26 21:38:23,202 - mmdet - INFO - Epoch [19][950/1849] lr: 2.000e-04, eta: 5:36:23, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1777, loss_bbox: 0.6605, loss_iou: 0.9723, d0.loss_bbox: 0.7143, d0.loss_iou: 1.0405, d1.loss_bbox: 0.6901, d1.loss_iou: 1.0106, d2.loss_bbox: 0.6752, d2.loss_iou: 0.9905, d3.loss_bbox: 0.6651, d3.loss_iou: 0.9784, d4.loss_bbox: 0.6607, d4.loss_iou: 0.9725, loss: 13.2084, grad_norm: 13.4245 2022-10-26 21:38:40,581 - mmdet - INFO - Epoch [19][1000/1849] lr: 2.000e-04, eta: 5:36:06, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.1715, loss_bbox: 0.6601, loss_iou: 0.9701, d0.loss_bbox: 0.7165, d0.loss_iou: 1.0394, d1.loss_bbox: 0.6906, d1.loss_iou: 1.0073, d2.loss_bbox: 0.6759, d2.loss_iou: 0.9887, d3.loss_bbox: 0.6649, d3.loss_iou: 0.9759, d4.loss_bbox: 0.6605, d4.loss_iou: 0.9707, loss: 13.1922, grad_norm: 11.5680 2022-10-26 21:38:58,171 - mmdet - INFO - Epoch [19][1050/1849] lr: 2.000e-04, eta: 5:35:49, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.1771, loss_bbox: 0.6593, loss_iou: 0.9698, d0.loss_bbox: 0.7146, d0.loss_iou: 1.0386, d1.loss_bbox: 0.6905, d1.loss_iou: 1.0085, d2.loss_bbox: 0.6753, d2.loss_iou: 0.9886, d3.loss_bbox: 0.6646, d3.loss_iou: 0.9760, d4.loss_bbox: 0.6596, d4.loss_iou: 0.9700, loss: 13.1926, grad_norm: 13.7054 2022-10-26 21:39:15,693 - mmdet - INFO - Epoch [19][1100/1849] lr: 2.000e-04, eta: 5:35:32, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1704, loss_bbox: 0.6605, loss_iou: 0.9685, d0.loss_bbox: 0.7169, d0.loss_iou: 1.0392, d1.loss_bbox: 0.6908, d1.loss_iou: 1.0064, d2.loss_bbox: 0.6765, d2.loss_iou: 0.9859, d3.loss_bbox: 0.6660, d3.loss_iou: 0.9743, d4.loss_bbox: 0.6611, d4.loss_iou: 0.9686, loss: 13.1850, grad_norm: 13.5398 2022-10-26 21:39:32,920 - mmdet - INFO - Epoch [19][1150/1849] lr: 2.000e-04, eta: 5:35:14, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.1834, loss_bbox: 0.6646, loss_iou: 0.9706, d0.loss_bbox: 0.7195, d0.loss_iou: 1.0410, d1.loss_bbox: 0.6947, d1.loss_iou: 1.0098, d2.loss_bbox: 0.6799, d2.loss_iou: 0.9895, d3.loss_bbox: 0.6693, d3.loss_iou: 0.9772, d4.loss_bbox: 0.6650, d4.loss_iou: 0.9708, loss: 13.2353, grad_norm: 13.8748 2022-10-26 21:39:50,378 - mmdet - INFO - Epoch [19][1200/1849] lr: 2.000e-04, eta: 5:34:57, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1847, loss_bbox: 0.6570, loss_iou: 0.9689, d0.loss_bbox: 0.7136, d0.loss_iou: 1.0398, d1.loss_bbox: 0.6881, d1.loss_iou: 1.0088, d2.loss_bbox: 0.6736, d2.loss_iou: 0.9883, d3.loss_bbox: 0.6629, d3.loss_iou: 0.9750, d4.loss_bbox: 0.6577, d4.loss_iou: 0.9690, loss: 13.1874, grad_norm: 13.8313 2022-10-26 21:40:07,791 - mmdet - INFO - Epoch [19][1250/1849] lr: 2.000e-04, eta: 5:34:40, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.1775, loss_bbox: 0.6644, loss_iou: 0.9707, d0.loss_bbox: 0.7200, d0.loss_iou: 1.0386, d1.loss_bbox: 0.6957, d1.loss_iou: 1.0086, d2.loss_bbox: 0.6802, d2.loss_iou: 0.9885, d3.loss_bbox: 0.6700, d3.loss_iou: 0.9768, d4.loss_bbox: 0.6651, d4.loss_iou: 0.9711, loss: 13.2272, grad_norm: 12.4299 2022-10-26 21:40:25,085 - mmdet - INFO - Epoch [19][1300/1849] lr: 2.000e-04, eta: 5:34:22, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.1815, loss_bbox: 0.6630, loss_iou: 0.9711, d0.loss_bbox: 0.7172, d0.loss_iou: 1.0411, d1.loss_bbox: 0.6934, d1.loss_iou: 1.0099, d2.loss_bbox: 0.6776, d2.loss_iou: 0.9898, d3.loss_bbox: 0.6680, d3.loss_iou: 0.9774, d4.loss_bbox: 0.6630, d4.loss_iou: 0.9713, loss: 13.2243, grad_norm: 12.8939 2022-10-26 21:40:42,531 - mmdet - INFO - Epoch [19][1350/1849] lr: 2.000e-04, eta: 5:34:05, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1744, loss_bbox: 0.6620, loss_iou: 0.9690, d0.loss_bbox: 0.7172, d0.loss_iou: 1.0380, d1.loss_bbox: 0.6920, d1.loss_iou: 1.0074, d2.loss_bbox: 0.6781, d2.loss_iou: 0.9880, d3.loss_bbox: 0.6674, d3.loss_iou: 0.9757, d4.loss_bbox: 0.6623, d4.loss_iou: 0.9692, loss: 13.2006, grad_norm: 16.6825 2022-10-26 21:40:59,792 - mmdet - INFO - Epoch [19][1400/1849] lr: 2.000e-04, eta: 5:33:48, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.1690, loss_bbox: 0.6607, loss_iou: 0.9640, d0.loss_bbox: 0.7160, d0.loss_iou: 1.0325, d1.loss_bbox: 0.6923, d1.loss_iou: 1.0026, d2.loss_bbox: 0.6774, d2.loss_iou: 0.9829, d3.loss_bbox: 0.6666, d3.loss_iou: 0.9714, d4.loss_bbox: 0.6610, d4.loss_iou: 0.9648, loss: 13.1613, grad_norm: 13.4406 2022-10-26 21:41:17,020 - mmdet - INFO - Epoch [19][1450/1849] lr: 2.000e-04, eta: 5:33:30, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.1831, loss_bbox: 0.6607, loss_iou: 0.9682, d0.loss_bbox: 0.7158, d0.loss_iou: 1.0371, d1.loss_bbox: 0.6918, d1.loss_iou: 1.0061, d2.loss_bbox: 0.6763, d2.loss_iou: 0.9868, d3.loss_bbox: 0.6658, d3.loss_iou: 0.9741, d4.loss_bbox: 0.6611, d4.loss_iou: 0.9683, loss: 13.1953, grad_norm: 13.7478 2022-10-26 21:41:34,477 - mmdet - INFO - Epoch [19][1500/1849] lr: 2.000e-04, eta: 5:33:13, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1768, loss_bbox: 0.6576, loss_iou: 0.9660, d0.loss_bbox: 0.7124, d0.loss_iou: 1.0354, d1.loss_bbox: 0.6877, d1.loss_iou: 1.0044, d2.loss_bbox: 0.6729, d2.loss_iou: 0.9842, d3.loss_bbox: 0.6623, d3.loss_iou: 0.9718, d4.loss_bbox: 0.6581, d4.loss_iou: 0.9659, loss: 13.1554, grad_norm: 13.2074 2022-10-26 21:41:51,693 - mmdet - INFO - Epoch [19][1550/1849] lr: 2.000e-04, eta: 5:32:56, time: 0.345, data_time: 0.009, memory: 4054, loss_contrastive: 3.1703, loss_bbox: 0.6588, loss_iou: 0.9695, d0.loss_bbox: 0.7131, d0.loss_iou: 1.0385, d1.loss_bbox: 0.6892, d1.loss_iou: 1.0083, d2.loss_bbox: 0.6741, d2.loss_iou: 0.9878, d3.loss_bbox: 0.6640, d3.loss_iou: 0.9759, d4.loss_bbox: 0.6592, d4.loss_iou: 0.9698, loss: 13.1783, grad_norm: 13.1505 2022-10-26 21:42:08,972 - mmdet - INFO - Epoch [19][1600/1849] lr: 2.000e-04, eta: 5:32:38, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.1699, loss_bbox: 0.6587, loss_iou: 0.9674, d0.loss_bbox: 0.7122, d0.loss_iou: 1.0351, d1.loss_bbox: 0.6886, d1.loss_iou: 1.0047, d2.loss_bbox: 0.6739, d2.loss_iou: 0.9847, d3.loss_bbox: 0.6643, d3.loss_iou: 0.9734, d4.loss_bbox: 0.6591, d4.loss_iou: 0.9677, loss: 13.1596, grad_norm: 11.8083 2022-10-26 21:42:26,468 - mmdet - INFO - Epoch [19][1650/1849] lr: 2.000e-04, eta: 5:32:21, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1744, loss_bbox: 0.6619, loss_iou: 0.9657, d0.loss_bbox: 0.7160, d0.loss_iou: 1.0327, d1.loss_bbox: 0.6922, d1.loss_iou: 1.0032, d2.loss_bbox: 0.6769, d2.loss_iou: 0.9847, d3.loss_bbox: 0.6673, d3.loss_iou: 0.9717, d4.loss_bbox: 0.6624, d4.loss_iou: 0.9659, loss: 13.1749, grad_norm: 14.2632 2022-10-26 21:42:43,774 - mmdet - INFO - Epoch [19][1700/1849] lr: 2.000e-04, eta: 5:32:04, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.1726, loss_bbox: 0.6596, loss_iou: 0.9733, d0.loss_bbox: 0.7147, d0.loss_iou: 1.0420, d1.loss_bbox: 0.6895, d1.loss_iou: 1.0113, d2.loss_bbox: 0.6748, d2.loss_iou: 0.9911, d3.loss_bbox: 0.6645, d3.loss_iou: 0.9788, d4.loss_bbox: 0.6602, d4.loss_iou: 0.9736, loss: 13.2060, grad_norm: 13.5266 2022-10-26 21:43:00,995 - mmdet - INFO - Epoch [19][1750/1849] lr: 2.000e-04, eta: 5:31:46, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.1737, loss_bbox: 0.6582, loss_iou: 0.9655, d0.loss_bbox: 0.7139, d0.loss_iou: 1.0340, d1.loss_bbox: 0.6884, d1.loss_iou: 1.0035, d2.loss_bbox: 0.6740, d2.loss_iou: 0.9841, d3.loss_bbox: 0.6640, d3.loss_iou: 0.9716, d4.loss_bbox: 0.6588, d4.loss_iou: 0.9655, loss: 13.1551, grad_norm: 13.1158 2022-10-26 21:43:18,851 - mmdet - INFO - Epoch [19][1800/1849] lr: 2.000e-04, eta: 5:31:30, time: 0.357, data_time: 0.009, memory: 4054, loss_contrastive: 3.1746, loss_bbox: 0.6575, loss_iou: 0.9666, d0.loss_bbox: 0.7119, d0.loss_iou: 1.0350, d1.loss_bbox: 0.6880, d1.loss_iou: 1.0038, d2.loss_bbox: 0.6734, d2.loss_iou: 0.9846, d3.loss_bbox: 0.6629, d3.loss_iou: 0.9726, d4.loss_bbox: 0.6579, d4.loss_iou: 0.9672, loss: 13.1562, grad_norm: 14.7530 2022-10-26 21:43:36,103 - mmdet - INFO - Saving checkpoint at 19 epochs 2022-10-26 21:43:57,878 - mmdet - INFO - Epoch [20][50/1849] lr: 2.000e-04, eta: 5:30:33, time: 0.412, data_time: 0.070, memory: 4054, loss_contrastive: 3.1755, loss_bbox: 0.6556, loss_iou: 0.9625, d0.loss_bbox: 0.7104, d0.loss_iou: 1.0323, d1.loss_bbox: 0.6852, d1.loss_iou: 0.9996, d2.loss_bbox: 0.6704, d2.loss_iou: 0.9811, d3.loss_bbox: 0.6613, d3.loss_iou: 0.9684, d4.loss_bbox: 0.6562, d4.loss_iou: 0.9628, loss: 13.1212, grad_norm: 14.0186 2022-10-26 21:44:15,426 - mmdet - INFO - Epoch [20][100/1849] lr: 2.000e-04, eta: 5:30:16, time: 0.351, data_time: 0.008, memory: 4054, loss_contrastive: 3.1802, loss_bbox: 0.6579, loss_iou: 0.9642, d0.loss_bbox: 0.7136, d0.loss_iou: 1.0345, d1.loss_bbox: 0.6884, d1.loss_iou: 1.0030, d2.loss_bbox: 0.6745, d2.loss_iou: 0.9836, d3.loss_bbox: 0.6635, d3.loss_iou: 0.9710, d4.loss_bbox: 0.6581, d4.loss_iou: 0.9648, loss: 13.1572, grad_norm: 12.4898 2022-10-26 21:44:32,970 - mmdet - INFO - Epoch [20][150/1849] lr: 2.000e-04, eta: 5:29:59, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1732, loss_bbox: 0.6595, loss_iou: 0.9659, d0.loss_bbox: 0.7135, d0.loss_iou: 1.0367, d1.loss_bbox: 0.6892, d1.loss_iou: 1.0050, d2.loss_bbox: 0.6750, d2.loss_iou: 0.9853, d3.loss_bbox: 0.6647, d3.loss_iou: 0.9724, d4.loss_bbox: 0.6598, d4.loss_iou: 0.9663, loss: 13.1666, grad_norm: 15.1014 2022-10-26 21:44:50,345 - mmdet - INFO - Epoch [20][200/1849] lr: 2.000e-04, eta: 5:29:42, time: 0.348, data_time: 0.009, memory: 4054, loss_contrastive: 3.1730, loss_bbox: 0.6613, loss_iou: 0.9683, d0.loss_bbox: 0.7164, d0.loss_iou: 1.0386, d1.loss_bbox: 0.6918, d1.loss_iou: 1.0058, d2.loss_bbox: 0.6766, d2.loss_iou: 0.9868, d3.loss_bbox: 0.6669, d3.loss_iou: 0.9741, d4.loss_bbox: 0.6615, d4.loss_iou: 0.9690, loss: 13.1901, grad_norm: 14.4979 2022-10-26 21:45:07,786 - mmdet - INFO - Epoch [20][250/1849] lr: 2.000e-04, eta: 5:29:25, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1790, loss_bbox: 0.6562, loss_iou: 0.9662, d0.loss_bbox: 0.7128, d0.loss_iou: 1.0342, d1.loss_bbox: 0.6873, d1.loss_iou: 1.0027, d2.loss_bbox: 0.6720, d2.loss_iou: 0.9845, d3.loss_bbox: 0.6615, d3.loss_iou: 0.9718, d4.loss_bbox: 0.6563, d4.loss_iou: 0.9667, loss: 13.1513, grad_norm: 13.9059 2022-10-26 21:45:25,185 - mmdet - INFO - Epoch [20][300/1849] lr: 2.000e-04, eta: 5:29:08, time: 0.348, data_time: 0.008, memory: 4054, loss_contrastive: 3.1758, loss_bbox: 0.6562, loss_iou: 0.9619, d0.loss_bbox: 0.7096, d0.loss_iou: 1.0312, d1.loss_bbox: 0.6857, d1.loss_iou: 1.0001, d2.loss_bbox: 0.6715, d2.loss_iou: 0.9810, d3.loss_bbox: 0.6610, d3.loss_iou: 0.9684, d4.loss_bbox: 0.6565, d4.loss_iou: 0.9623, loss: 13.1212, grad_norm: 14.9282 2022-10-26 21:45:42,568 - mmdet - INFO - Epoch [20][350/1849] lr: 2.000e-04, eta: 5:28:50, time: 0.348, data_time: 0.008, memory: 4054, loss_contrastive: 3.1643, loss_bbox: 0.6560, loss_iou: 0.9661, d0.loss_bbox: 0.7116, d0.loss_iou: 1.0366, d1.loss_bbox: 0.6873, d1.loss_iou: 1.0056, d2.loss_bbox: 0.6725, d2.loss_iou: 0.9854, d3.loss_bbox: 0.6614, d3.loss_iou: 0.9731, d4.loss_bbox: 0.6564, d4.loss_iou: 0.9668, loss: 13.1431, grad_norm: 15.4412 2022-10-26 21:45:59,786 - mmdet - INFO - Epoch [20][400/1849] lr: 2.000e-04, eta: 5:28:33, time: 0.344, data_time: 0.009, memory: 4054, loss_contrastive: 3.1765, loss_bbox: 0.6624, loss_iou: 0.9662, d0.loss_bbox: 0.7175, d0.loss_iou: 1.0356, d1.loss_bbox: 0.6937, d1.loss_iou: 1.0061, d2.loss_bbox: 0.6780, d2.loss_iou: 0.9861, d3.loss_bbox: 0.6676, d3.loss_iou: 0.9727, d4.loss_bbox: 0.6630, d4.loss_iou: 0.9663, loss: 13.1917, grad_norm: 12.8232 2022-10-26 21:46:17,117 - mmdet - INFO - Epoch [20][450/1849] lr: 2.000e-04, eta: 5:28:16, time: 0.346, data_time: 0.009, memory: 4054, loss_contrastive: 3.1745, loss_bbox: 0.6573, loss_iou: 0.9670, d0.loss_bbox: 0.7135, d0.loss_iou: 1.0367, d1.loss_bbox: 0.6884, d1.loss_iou: 1.0039, d2.loss_bbox: 0.6740, d2.loss_iou: 0.9851, d3.loss_bbox: 0.6632, d3.loss_iou: 0.9730, d4.loss_bbox: 0.6579, d4.loss_iou: 0.9675, loss: 13.1619, grad_norm: 14.1510 2022-10-26 21:46:34,957 - mmdet - INFO - Epoch [20][500/1849] lr: 2.000e-04, eta: 5:27:59, time: 0.357, data_time: 0.009, memory: 4054, loss_contrastive: 3.1693, loss_bbox: 0.6626, loss_iou: 0.9710, d0.loss_bbox: 0.7145, d0.loss_iou: 1.0390, d1.loss_bbox: 0.6909, d1.loss_iou: 1.0077, d2.loss_bbox: 0.6782, d2.loss_iou: 0.9884, d3.loss_bbox: 0.6679, d3.loss_iou: 0.9773, d4.loss_bbox: 0.6630, d4.loss_iou: 0.9715, loss: 13.2014, grad_norm: 13.2836 2022-10-26 21:46:52,406 - mmdet - INFO - Epoch [20][550/1849] lr: 2.000e-04, eta: 5:27:42, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1728, loss_bbox: 0.6591, loss_iou: 0.9668, d0.loss_bbox: 0.7138, d0.loss_iou: 1.0347, d1.loss_bbox: 0.6895, d1.loss_iou: 1.0050, d2.loss_bbox: 0.6748, d2.loss_iou: 0.9850, d3.loss_bbox: 0.6644, d3.loss_iou: 0.9732, d4.loss_bbox: 0.6597, d4.loss_iou: 0.9670, loss: 13.1660, grad_norm: 13.9845 2022-10-26 21:47:10,228 - mmdet - INFO - Epoch [20][600/1849] lr: 2.000e-04, eta: 5:27:25, time: 0.356, data_time: 0.009, memory: 4054, loss_contrastive: 3.1815, loss_bbox: 0.6582, loss_iou: 0.9643, d0.loss_bbox: 0.7130, d0.loss_iou: 1.0332, d1.loss_bbox: 0.6880, d1.loss_iou: 1.0034, d2.loss_bbox: 0.6733, d2.loss_iou: 0.9819, d3.loss_bbox: 0.6636, d3.loss_iou: 0.9705, d4.loss_bbox: 0.6587, d4.loss_iou: 0.9645, loss: 13.1540, grad_norm: 12.9914 2022-10-26 21:47:27,584 - mmdet - INFO - Epoch [20][650/1849] lr: 2.000e-04, eta: 5:27:08, time: 0.347, data_time: 0.008, memory: 4054, loss_contrastive: 3.1704, loss_bbox: 0.6555, loss_iou: 0.9641, d0.loss_bbox: 0.7101, d0.loss_iou: 1.0318, d1.loss_bbox: 0.6854, d1.loss_iou: 1.0014, d2.loss_bbox: 0.6707, d2.loss_iou: 0.9819, d3.loss_bbox: 0.6600, d3.loss_iou: 0.9700, d4.loss_bbox: 0.6560, d4.loss_iou: 0.9646, loss: 13.1220, grad_norm: 13.8585 2022-10-26 21:47:45,191 - mmdet - INFO - Epoch [20][700/1849] lr: 2.000e-04, eta: 5:26:51, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.1703, loss_bbox: 0.6566, loss_iou: 0.9669, d0.loss_bbox: 0.7123, d0.loss_iou: 1.0357, d1.loss_bbox: 0.6879, d1.loss_iou: 1.0047, d2.loss_bbox: 0.6733, d2.loss_iou: 0.9858, d3.loss_bbox: 0.6623, d3.loss_iou: 0.9732, d4.loss_bbox: 0.6569, d4.loss_iou: 0.9676, loss: 13.1536, grad_norm: 12.8626 2022-10-26 21:48:02,750 - mmdet - INFO - Epoch [20][750/1849] lr: 2.000e-04, eta: 5:26:34, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1724, loss_bbox: 0.6605, loss_iou: 0.9681, d0.loss_bbox: 0.7157, d0.loss_iou: 1.0355, d1.loss_bbox: 0.6915, d1.loss_iou: 1.0062, d2.loss_bbox: 0.6764, d2.loss_iou: 0.9866, d3.loss_bbox: 0.6662, d3.loss_iou: 0.9742, d4.loss_bbox: 0.6612, d4.loss_iou: 0.9682, loss: 13.1827, grad_norm: 12.7603 2022-10-26 21:48:20,415 - mmdet - INFO - Epoch [20][800/1849] lr: 2.000e-04, eta: 5:26:18, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.1664, loss_bbox: 0.6557, loss_iou: 0.9660, d0.loss_bbox: 0.7119, d0.loss_iou: 1.0364, d1.loss_bbox: 0.6876, d1.loss_iou: 1.0056, d2.loss_bbox: 0.6724, d2.loss_iou: 0.9855, d3.loss_bbox: 0.6617, d3.loss_iou: 0.9724, d4.loss_bbox: 0.6562, d4.loss_iou: 0.9664, loss: 13.1442, grad_norm: 14.0777 2022-10-26 21:48:38,395 - mmdet - INFO - Epoch [20][850/1849] lr: 2.000e-04, eta: 5:26:01, time: 0.360, data_time: 0.008, memory: 4054, loss_contrastive: 3.1679, loss_bbox: 0.6555, loss_iou: 0.9668, d0.loss_bbox: 0.7098, d0.loss_iou: 1.0349, d1.loss_bbox: 0.6858, d1.loss_iou: 1.0035, d2.loss_bbox: 0.6708, d2.loss_iou: 0.9841, d3.loss_bbox: 0.6608, d3.loss_iou: 0.9722, d4.loss_bbox: 0.6557, d4.loss_iou: 0.9671, loss: 13.1349, grad_norm: 15.7028 2022-10-26 21:48:55,996 - mmdet - INFO - Epoch [20][900/1849] lr: 2.000e-04, eta: 5:25:44, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.1702, loss_bbox: 0.6546, loss_iou: 0.9664, d0.loss_bbox: 0.7096, d0.loss_iou: 1.0359, d1.loss_bbox: 0.6857, d1.loss_iou: 1.0050, d2.loss_bbox: 0.6703, d2.loss_iou: 0.9848, d3.loss_bbox: 0.6600, d3.loss_iou: 0.9729, d4.loss_bbox: 0.6548, d4.loss_iou: 0.9669, loss: 13.1372, grad_norm: 12.9668 2022-10-26 21:49:13,611 - mmdet - INFO - Epoch [20][950/1849] lr: 2.000e-04, eta: 5:25:28, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.1754, loss_bbox: 0.6593, loss_iou: 0.9670, d0.loss_bbox: 0.7150, d0.loss_iou: 1.0355, d1.loss_bbox: 0.6907, d1.loss_iou: 1.0056, d2.loss_bbox: 0.6753, d2.loss_iou: 0.9857, d3.loss_bbox: 0.6654, d3.loss_iou: 0.9729, d4.loss_bbox: 0.6597, d4.loss_iou: 0.9674, loss: 13.1750, grad_norm: 13.1194 2022-10-26 21:49:31,474 - mmdet - INFO - Epoch [20][1000/1849] lr: 2.000e-04, eta: 5:25:11, time: 0.357, data_time: 0.009, memory: 4054, loss_contrastive: 3.1705, loss_bbox: 0.6537, loss_iou: 0.9613, d0.loss_bbox: 0.7079, d0.loss_iou: 1.0301, d1.loss_bbox: 0.6841, d1.loss_iou: 1.0013, d2.loss_bbox: 0.6688, d2.loss_iou: 0.9807, d3.loss_bbox: 0.6592, d3.loss_iou: 0.9691, d4.loss_bbox: 0.6541, d4.loss_iou: 0.9621, loss: 13.1027, grad_norm: 13.7972 2022-10-26 21:49:49,037 - mmdet - INFO - Epoch [20][1050/1849] lr: 2.000e-04, eta: 5:24:54, time: 0.351, data_time: 0.009, memory: 4054, loss_contrastive: 3.1736, loss_bbox: 0.6572, loss_iou: 0.9643, d0.loss_bbox: 0.7119, d0.loss_iou: 1.0340, d1.loss_bbox: 0.6874, d1.loss_iou: 1.0032, d2.loss_bbox: 0.6725, d2.loss_iou: 0.9825, d3.loss_bbox: 0.6625, d3.loss_iou: 0.9700, d4.loss_bbox: 0.6579, d4.loss_iou: 0.9645, loss: 13.1415, grad_norm: 13.7263 2022-10-26 21:50:06,807 - mmdet - INFO - Epoch [20][1100/1849] lr: 2.000e-04, eta: 5:24:38, time: 0.355, data_time: 0.009, memory: 4054, loss_contrastive: 3.1637, loss_bbox: 0.6569, loss_iou: 0.9656, d0.loss_bbox: 0.7108, d0.loss_iou: 1.0343, d1.loss_bbox: 0.6863, d1.loss_iou: 1.0042, d2.loss_bbox: 0.6727, d2.loss_iou: 0.9848, d3.loss_bbox: 0.6623, d3.loss_iou: 0.9723, d4.loss_bbox: 0.6572, d4.loss_iou: 0.9662, loss: 13.1376, grad_norm: 16.5818 2022-10-26 21:50:24,607 - mmdet - INFO - Epoch [20][1150/1849] lr: 2.000e-04, eta: 5:24:21, time: 0.356, data_time: 0.009, memory: 4054, loss_contrastive: 3.1694, loss_bbox: 0.6580, loss_iou: 0.9670, d0.loss_bbox: 0.7127, d0.loss_iou: 1.0348, d1.loss_bbox: 0.6882, d1.loss_iou: 1.0055, d2.loss_bbox: 0.6738, d2.loss_iou: 0.9855, d3.loss_bbox: 0.6634, d3.loss_iou: 0.9727, d4.loss_bbox: 0.6584, d4.loss_iou: 0.9674, loss: 13.1567, grad_norm: 16.6855 2022-10-26 21:50:42,072 - mmdet - INFO - Epoch [20][1200/1849] lr: 2.000e-04, eta: 5:24:04, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1742, loss_bbox: 0.6607, loss_iou: 0.9678, d0.loss_bbox: 0.7166, d0.loss_iou: 1.0367, d1.loss_bbox: 0.6920, d1.loss_iou: 1.0071, d2.loss_bbox: 0.6770, d2.loss_iou: 0.9864, d3.loss_bbox: 0.6658, d3.loss_iou: 0.9741, d4.loss_bbox: 0.6610, d4.loss_iou: 0.9682, loss: 13.1877, grad_norm: 13.5829 2022-10-26 21:50:59,672 - mmdet - INFO - Epoch [20][1250/1849] lr: 2.000e-04, eta: 5:23:47, time: 0.352, data_time: 0.008, memory: 4054, loss_contrastive: 3.1646, loss_bbox: 0.6556, loss_iou: 0.9662, d0.loss_bbox: 0.7113, d0.loss_iou: 1.0365, d1.loss_bbox: 0.6878, d1.loss_iou: 1.0063, d2.loss_bbox: 0.6720, d2.loss_iou: 0.9855, d3.loss_bbox: 0.6616, d3.loss_iou: 0.9724, d4.loss_bbox: 0.6562, d4.loss_iou: 0.9667, loss: 13.1427, grad_norm: 13.3730 2022-10-26 21:51:16,959 - mmdet - INFO - Epoch [20][1300/1849] lr: 2.000e-04, eta: 5:23:30, time: 0.346, data_time: 0.008, memory: 4054, loss_contrastive: 3.1727, loss_bbox: 0.6604, loss_iou: 0.9671, d0.loss_bbox: 0.7153, d0.loss_iou: 1.0352, d1.loss_bbox: 0.6912, d1.loss_iou: 1.0053, d2.loss_bbox: 0.6761, d2.loss_iou: 0.9854, d3.loss_bbox: 0.6658, d3.loss_iou: 0.9737, d4.loss_bbox: 0.6607, d4.loss_iou: 0.9677, loss: 13.1766, grad_norm: 13.6891 2022-10-26 21:51:34,654 - mmdet - INFO - Epoch [20][1350/1849] lr: 2.000e-04, eta: 5:23:13, time: 0.354, data_time: 0.009, memory: 4054, loss_contrastive: 3.1754, loss_bbox: 0.6619, loss_iou: 0.9713, d0.loss_bbox: 0.7169, d0.loss_iou: 1.0394, d1.loss_bbox: 0.6920, d1.loss_iou: 1.0096, d2.loss_bbox: 0.6776, d2.loss_iou: 0.9889, d3.loss_bbox: 0.6675, d3.loss_iou: 0.9766, d4.loss_bbox: 0.6624, d4.loss_iou: 0.9714, loss: 13.2111, grad_norm: 12.9855 2022-10-26 21:51:52,000 - mmdet - INFO - Epoch [20][1400/1849] lr: 2.000e-04, eta: 5:22:56, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.1772, loss_bbox: 0.6615, loss_iou: 0.9672, d0.loss_bbox: 0.7162, d0.loss_iou: 1.0363, d1.loss_bbox: 0.6938, d1.loss_iou: 1.0059, d2.loss_bbox: 0.6779, d2.loss_iou: 0.9855, d3.loss_bbox: 0.6673, d3.loss_iou: 0.9739, d4.loss_bbox: 0.6621, d4.loss_iou: 0.9675, loss: 13.1923, grad_norm: 14.2072 2022-10-26 21:52:09,644 - mmdet - INFO - Epoch [20][1450/1849] lr: 2.000e-04, eta: 5:22:39, time: 0.353, data_time: 0.009, memory: 4054, loss_contrastive: 3.1672, loss_bbox: 0.6545, loss_iou: 0.9634, d0.loss_bbox: 0.7110, d0.loss_iou: 1.0322, d1.loss_bbox: 0.6859, d1.loss_iou: 1.0028, d2.loss_bbox: 0.6706, d2.loss_iou: 0.9829, d3.loss_bbox: 0.6609, d3.loss_iou: 0.9698, d4.loss_bbox: 0.6551, d4.loss_iou: 0.9641, loss: 13.1203, grad_norm: 13.4661 2022-10-26 21:52:27,438 - mmdet - INFO - Epoch [20][1500/1849] lr: 2.000e-04, eta: 5:22:22, time: 0.356, data_time: 0.008, memory: 4054, loss_contrastive: 3.1715, loss_bbox: 0.6564, loss_iou: 0.9625, d0.loss_bbox: 0.7126, d0.loss_iou: 1.0339, d1.loss_bbox: 0.6871, d1.loss_iou: 1.0024, d2.loss_bbox: 0.6708, d2.loss_iou: 0.9816, d3.loss_bbox: 0.6616, d3.loss_iou: 0.9692, d4.loss_bbox: 0.6570, d4.loss_iou: 0.9631, loss: 13.1298, grad_norm: 12.5416 2022-10-26 21:52:44,881 - mmdet - INFO - Epoch [20][1550/1849] lr: 2.000e-04, eta: 5:22:05, time: 0.349, data_time: 0.009, memory: 4054, loss_contrastive: 3.1750, loss_bbox: 0.6554, loss_iou: 0.9649, d0.loss_bbox: 0.7100, d0.loss_iou: 1.0339, d1.loss_bbox: 0.6852, d1.loss_iou: 1.0029, d2.loss_bbox: 0.6711, d2.loss_iou: 0.9825, d3.loss_bbox: 0.6607, d3.loss_iou: 0.9710, d4.loss_bbox: 0.6559, d4.loss_iou: 0.9653, loss: 13.1338, grad_norm: 14.0575 2022-10-26 21:53:02,358 - mmdet - INFO - Epoch [20][1600/1849] lr: 2.000e-04, eta: 5:21:48, time: 0.350, data_time: 0.009, memory: 4054, loss_contrastive: 3.1760, loss_bbox: 0.6583, loss_iou: 0.9665, d0.loss_bbox: 0.7131, d0.loss_iou: 1.0346, d1.loss_bbox: 0.6885, d1.loss_iou: 1.0042, d2.loss_bbox: 0.6743, d2.loss_iou: 0.9848, d3.loss_bbox: 0.6636, d3.loss_iou: 0.9726, d4.loss_bbox: 0.6585, d4.loss_iou: 0.9669, loss: 13.1617, grad_norm: 14.1516 2022-10-26 21:53:19,958 - mmdet - INFO - Epoch [20][1650/1849] lr: 2.000e-04, eta: 5:21:31, time: 0.352, data_time: 0.009, memory: 4054, loss_contrastive: 3.1653, loss_bbox: 0.6559, loss_iou: 0.9637, d0.loss_bbox: 0.7101, d0.loss_iou: 1.0299, d1.loss_bbox: 0.6855, d1.loss_iou: 1.0008, d2.loss_bbox: 0.6713, d2.loss_iou: 0.9819, d3.loss_bbox: 0.6610, d3.loss_iou: 0.9694, d4.loss_bbox: 0.6563, d4.loss_iou: 0.9639, loss: 13.1150, grad_norm: 12.6889 2022-10-26 21:53:37,800 - mmdet - INFO - Epoch [20][1700/1849] lr: 2.000e-04, eta: 5:21:14, time: 0.357, data_time: 0.009, memory: 4054, loss_contrastive: 3.1759, loss_bbox: 0.6585, loss_iou: 0.9693, d0.loss_bbox: 0.7132, d0.loss_iou: 1.0393, d1.loss_bbox: 0.6889, d1.loss_iou: 1.0090, d2.loss_bbox: 0.6740, d2.loss_iou: 0.9879, d3.loss_bbox: 0.6640, d3.loss_iou: 0.9759, d4.loss_bbox: 0.6593, d4.loss_iou: 0.9695, loss: 13.1848, grad_norm: 13.8870 2022-10-26 21:53:55,157 - mmdet - INFO - Epoch [20][1750/1849] lr: 2.000e-04, eta: 5:20:57, time: 0.347, data_time: 0.009, memory: 4054, loss_contrastive: 3.1651, loss_bbox: 0.6566, loss_iou: 0.9667, d0.loss_bbox: 0.7119, d0.loss_iou: 1.0363, d1.loss_bbox: 0.6870, d1.loss_iou: 1.0049, d2.loss_bbox: 0.6729, d2.loss_iou: 0.9843, d3.loss_bbox: 0.6622, d3.loss_iou: 0.9727, d4.loss_bbox: 0.6571, d4.loss_iou: 0.9668, loss: 13.1446, grad_norm: 13.1342 2022-10-26 21:54:12,653 - mmdet - INFO - Epoch [20][1800/1849] lr: 2.000e-04, eta: 5:20:40, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1716, loss_bbox: 0.6577, loss_iou: 0.9663, d0.loss_bbox: 0.7119, d0.loss_iou: 1.0336, d1.loss_bbox: 0.6882, d1.loss_iou: 1.0043, d2.loss_bbox: 0.6739, d2.loss_iou: 0.9844, d3.loss_bbox: 0.6634, d3.loss_iou: 0.9729, d4.loss_bbox: 0.6582, d4.loss_iou: 0.9667, loss: 13.1530, grad_norm: 13.6128 2022-10-26 21:54:30,148 - mmdet - INFO - Saving checkpoint at 20 epochs 2022-10-26 21:54:52,171 - mmdet - INFO - Epoch [21][50/1849] lr: 2.000e-04, eta: 5:19:45, time: 0.415, data_time: 0.069, memory: 4055, loss_contrastive: 3.1716, loss_bbox: 0.6569, loss_iou: 0.9660, d0.loss_bbox: 0.7107, d0.loss_iou: 1.0338, d1.loss_bbox: 0.6863, d1.loss_iou: 1.0027, d2.loss_bbox: 0.6721, d2.loss_iou: 0.9836, d3.loss_bbox: 0.6614, d3.loss_iou: 0.9720, d4.loss_bbox: 0.6570, d4.loss_iou: 0.9666, loss: 13.1409, grad_norm: 14.1445 2022-10-26 21:55:09,924 - mmdet - INFO - Epoch [21][100/1849] lr: 2.000e-04, eta: 5:19:29, time: 0.355, data_time: 0.009, memory: 4055, loss_contrastive: 3.1699, loss_bbox: 0.6543, loss_iou: 0.9663, d0.loss_bbox: 0.7087, d0.loss_iou: 1.0362, d1.loss_bbox: 0.6842, d1.loss_iou: 1.0052, d2.loss_bbox: 0.6705, d2.loss_iou: 0.9858, d3.loss_bbox: 0.6595, d3.loss_iou: 0.9733, d4.loss_bbox: 0.6548, d4.loss_iou: 0.9669, loss: 13.1356, grad_norm: 15.1400 2022-10-26 21:55:27,434 - mmdet - INFO - Epoch [21][150/1849] lr: 2.000e-04, eta: 5:19:12, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1715, loss_bbox: 0.6528, loss_iou: 0.9626, d0.loss_bbox: 0.7070, d0.loss_iou: 1.0313, d1.loss_bbox: 0.6842, d1.loss_iou: 1.0015, d2.loss_bbox: 0.6686, d2.loss_iou: 0.9813, d3.loss_bbox: 0.6582, d3.loss_iou: 0.9698, d4.loss_bbox: 0.6530, d4.loss_iou: 0.9637, loss: 13.1056, grad_norm: 13.7562 2022-10-26 21:55:44,977 - mmdet - INFO - Epoch [21][200/1849] lr: 2.000e-04, eta: 5:18:55, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1732, loss_bbox: 0.6562, loss_iou: 0.9642, d0.loss_bbox: 0.7113, d0.loss_iou: 1.0332, d1.loss_bbox: 0.6869, d1.loss_iou: 1.0021, d2.loss_bbox: 0.6713, d2.loss_iou: 0.9823, d3.loss_bbox: 0.6615, d3.loss_iou: 0.9699, d4.loss_bbox: 0.6566, d4.loss_iou: 0.9643, loss: 13.1330, grad_norm: 12.2585 2022-10-26 21:56:02,501 - mmdet - INFO - Epoch [21][250/1849] lr: 2.000e-04, eta: 5:18:38, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1679, loss_bbox: 0.6547, loss_iou: 0.9630, d0.loss_bbox: 0.7115, d0.loss_iou: 1.0324, d1.loss_bbox: 0.6862, d1.loss_iou: 1.0017, d2.loss_bbox: 0.6712, d2.loss_iou: 0.9815, d3.loss_bbox: 0.6605, d3.loss_iou: 0.9689, d4.loss_bbox: 0.6552, d4.loss_iou: 0.9634, loss: 13.1182, grad_norm: 14.0872 2022-10-26 21:56:20,281 - mmdet - INFO - Epoch [21][300/1849] lr: 2.000e-04, eta: 5:18:21, time: 0.356, data_time: 0.009, memory: 4055, loss_contrastive: 3.1727, loss_bbox: 0.6580, loss_iou: 0.9669, d0.loss_bbox: 0.7134, d0.loss_iou: 1.0368, d1.loss_bbox: 0.6885, d1.loss_iou: 1.0052, d2.loss_bbox: 0.6736, d2.loss_iou: 0.9854, d3.loss_bbox: 0.6634, d3.loss_iou: 0.9730, d4.loss_bbox: 0.6585, d4.loss_iou: 0.9676, loss: 13.1631, grad_norm: 15.7924 2022-10-26 21:56:37,805 - mmdet - INFO - Epoch [21][350/1849] lr: 2.000e-04, eta: 5:18:04, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1727, loss_bbox: 0.6562, loss_iou: 0.9623, d0.loss_bbox: 0.7110, d0.loss_iou: 1.0324, d1.loss_bbox: 0.6862, d1.loss_iou: 1.0009, d2.loss_bbox: 0.6716, d2.loss_iou: 0.9807, d3.loss_bbox: 0.6615, d3.loss_iou: 0.9685, d4.loss_bbox: 0.6565, d4.loss_iou: 0.9630, loss: 13.1235, grad_norm: 14.1000 2022-10-26 21:56:55,645 - mmdet - INFO - Epoch [21][400/1849] lr: 2.000e-04, eta: 5:17:48, time: 0.357, data_time: 0.009, memory: 4055, loss_contrastive: 3.1708, loss_bbox: 0.6556, loss_iou: 0.9624, d0.loss_bbox: 0.7096, d0.loss_iou: 1.0311, d1.loss_bbox: 0.6856, d1.loss_iou: 1.0003, d2.loss_bbox: 0.6710, d2.loss_iou: 0.9810, d3.loss_bbox: 0.6609, d3.loss_iou: 0.9690, d4.loss_bbox: 0.6559, d4.loss_iou: 0.9627, loss: 13.1157, grad_norm: 11.8837 2022-10-26 21:57:13,298 - mmdet - INFO - Epoch [21][450/1849] lr: 2.000e-04, eta: 5:17:31, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1743, loss_bbox: 0.6582, loss_iou: 0.9636, d0.loss_bbox: 0.7130, d0.loss_iou: 1.0319, d1.loss_bbox: 0.6882, d1.loss_iou: 1.0022, d2.loss_bbox: 0.6732, d2.loss_iou: 0.9823, d3.loss_bbox: 0.6630, d3.loss_iou: 0.9697, d4.loss_bbox: 0.6582, d4.loss_iou: 0.9639, loss: 13.1417, grad_norm: 13.7243 2022-10-26 21:57:30,755 - mmdet - INFO - Epoch [21][500/1849] lr: 2.000e-04, eta: 5:17:14, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1647, loss_bbox: 0.6570, loss_iou: 0.9686, d0.loss_bbox: 0.7135, d0.loss_iou: 1.0387, d1.loss_bbox: 0.6886, d1.loss_iou: 1.0078, d2.loss_bbox: 0.6739, d2.loss_iou: 0.9874, d3.loss_bbox: 0.6632, d3.loss_iou: 0.9747, d4.loss_bbox: 0.6579, d4.loss_iou: 0.9687, loss: 13.1647, grad_norm: 13.5407 2022-10-26 21:57:48,279 - mmdet - INFO - Epoch [21][550/1849] lr: 2.000e-04, eta: 5:16:57, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1769, loss_bbox: 0.6593, loss_iou: 0.9651, d0.loss_bbox: 0.7154, d0.loss_iou: 1.0361, d1.loss_bbox: 0.6897, d1.loss_iou: 1.0054, d2.loss_bbox: 0.6745, d2.loss_iou: 0.9837, d3.loss_bbox: 0.6644, d3.loss_iou: 0.9709, d4.loss_bbox: 0.6595, d4.loss_iou: 0.9654, loss: 13.1662, grad_norm: 13.3585 2022-10-26 21:58:05,932 - mmdet - INFO - Epoch [21][600/1849] lr: 2.000e-04, eta: 5:16:40, time: 0.353, data_time: 0.008, memory: 4055, loss_contrastive: 3.1650, loss_bbox: 0.6521, loss_iou: 0.9610, d0.loss_bbox: 0.7099, d0.loss_iou: 1.0328, d1.loss_bbox: 0.6833, d1.loss_iou: 1.0001, d2.loss_bbox: 0.6681, d2.loss_iou: 0.9802, d3.loss_bbox: 0.6579, d3.loss_iou: 0.9673, d4.loss_bbox: 0.6525, d4.loss_iou: 0.9617, loss: 13.0920, grad_norm: 13.2795 2022-10-26 21:58:23,387 - mmdet - INFO - Epoch [21][650/1849] lr: 2.000e-04, eta: 5:16:23, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1695, loss_bbox: 0.6557, loss_iou: 0.9650, d0.loss_bbox: 0.7110, d0.loss_iou: 1.0355, d1.loss_bbox: 0.6879, d1.loss_iou: 1.0042, d2.loss_bbox: 0.6719, d2.loss_iou: 0.9843, d3.loss_bbox: 0.6611, d3.loss_iou: 0.9718, d4.loss_bbox: 0.6564, d4.loss_iou: 0.9654, loss: 13.1396, grad_norm: 11.7367 2022-10-26 21:58:40,890 - mmdet - INFO - Epoch [21][700/1849] lr: 2.000e-04, eta: 5:16:06, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1649, loss_bbox: 0.6574, loss_iou: 0.9694, d0.loss_bbox: 0.7121, d0.loss_iou: 1.0380, d1.loss_bbox: 0.6874, d1.loss_iou: 1.0076, d2.loss_bbox: 0.6719, d2.loss_iou: 0.9870, d3.loss_bbox: 0.6622, d3.loss_iou: 0.9757, d4.loss_bbox: 0.6575, d4.loss_iou: 0.9699, loss: 13.1611, grad_norm: 13.1068 2022-10-26 21:58:58,259 - mmdet - INFO - Epoch [21][750/1849] lr: 2.000e-04, eta: 5:15:49, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1666, loss_bbox: 0.6547, loss_iou: 0.9657, d0.loss_bbox: 0.7075, d0.loss_iou: 1.0337, d1.loss_bbox: 0.6848, d1.loss_iou: 1.0043, d2.loss_bbox: 0.6705, d2.loss_iou: 0.9846, d3.loss_bbox: 0.6604, d3.loss_iou: 0.9720, d4.loss_bbox: 0.6556, d4.loss_iou: 0.9660, loss: 13.1264, grad_norm: 12.8871 2022-10-26 21:59:16,071 - mmdet - INFO - Epoch [21][800/1849] lr: 2.000e-04, eta: 5:15:32, time: 0.356, data_time: 0.009, memory: 4055, loss_contrastive: 3.1670, loss_bbox: 0.6550, loss_iou: 0.9648, d0.loss_bbox: 0.7088, d0.loss_iou: 1.0324, d1.loss_bbox: 0.6854, d1.loss_iou: 1.0023, d2.loss_bbox: 0.6705, d2.loss_iou: 0.9829, d3.loss_bbox: 0.6600, d3.loss_iou: 0.9710, d4.loss_bbox: 0.6551, d4.loss_iou: 0.9653, loss: 13.1205, grad_norm: 14.8253 2022-10-26 21:59:33,709 - mmdet - INFO - Epoch [21][850/1849] lr: 2.000e-04, eta: 5:15:15, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1675, loss_bbox: 0.6522, loss_iou: 0.9630, d0.loss_bbox: 0.7077, d0.loss_iou: 1.0314, d1.loss_bbox: 0.6837, d1.loss_iou: 1.0027, d2.loss_bbox: 0.6689, d2.loss_iou: 0.9815, d3.loss_bbox: 0.6580, d3.loss_iou: 0.9695, d4.loss_bbox: 0.6524, d4.loss_iou: 0.9638, loss: 13.1024, grad_norm: 13.5222 2022-10-26 21:59:51,046 - mmdet - INFO - Epoch [21][900/1849] lr: 2.000e-04, eta: 5:14:58, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1651, loss_bbox: 0.6552, loss_iou: 0.9642, d0.loss_bbox: 0.7089, d0.loss_iou: 1.0328, d1.loss_bbox: 0.6855, d1.loss_iou: 1.0025, d2.loss_bbox: 0.6711, d2.loss_iou: 0.9831, d3.loss_bbox: 0.6607, d3.loss_iou: 0.9703, d4.loss_bbox: 0.6555, d4.loss_iou: 0.9650, loss: 13.1201, grad_norm: 14.3158 2022-10-26 22:00:08,729 - mmdet - INFO - Epoch [21][950/1849] lr: 2.000e-04, eta: 5:14:41, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1698, loss_bbox: 0.6590, loss_iou: 0.9645, d0.loss_bbox: 0.7141, d0.loss_iou: 1.0336, d1.loss_bbox: 0.6897, d1.loss_iou: 1.0039, d2.loss_bbox: 0.6744, d2.loss_iou: 0.9831, d3.loss_bbox: 0.6645, d3.loss_iou: 0.9714, d4.loss_bbox: 0.6595, d4.loss_iou: 0.9652, loss: 13.1529, grad_norm: 13.7206 2022-10-26 22:00:26,499 - mmdet - INFO - Epoch [21][1000/1849] lr: 2.000e-04, eta: 5:14:24, time: 0.355, data_time: 0.009, memory: 4055, loss_contrastive: 3.1742, loss_bbox: 0.6559, loss_iou: 0.9629, d0.loss_bbox: 0.7119, d0.loss_iou: 1.0329, d1.loss_bbox: 0.6878, d1.loss_iou: 1.0016, d2.loss_bbox: 0.6731, d2.loss_iou: 0.9818, d3.loss_bbox: 0.6622, d3.loss_iou: 0.9694, d4.loss_bbox: 0.6564, d4.loss_iou: 0.9633, loss: 13.1334, grad_norm: 12.2146 2022-10-26 22:00:43,916 - mmdet - INFO - Epoch [21][1050/1849] lr: 2.000e-04, eta: 5:14:07, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1665, loss_bbox: 0.6567, loss_iou: 0.9645, d0.loss_bbox: 0.7120, d0.loss_iou: 1.0350, d1.loss_bbox: 0.6869, d1.loss_iou: 1.0032, d2.loss_bbox: 0.6726, d2.loss_iou: 0.9837, d3.loss_bbox: 0.6623, d3.loss_iou: 0.9711, d4.loss_bbox: 0.6569, d4.loss_iou: 0.9650, loss: 13.1364, grad_norm: 14.3390 2022-10-26 22:01:01,537 - mmdet - INFO - Epoch [21][1100/1849] lr: 2.000e-04, eta: 5:13:50, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1631, loss_bbox: 0.6541, loss_iou: 0.9600, d0.loss_bbox: 0.7096, d0.loss_iou: 1.0300, d1.loss_bbox: 0.6841, d1.loss_iou: 0.9976, d2.loss_bbox: 0.6689, d2.loss_iou: 0.9789, d3.loss_bbox: 0.6597, d3.loss_iou: 0.9663, d4.loss_bbox: 0.6546, d4.loss_iou: 0.9607, loss: 13.0877, grad_norm: 14.3948 2022-10-26 22:01:18,999 - mmdet - INFO - Epoch [21][1150/1849] lr: 2.000e-04, eta: 5:13:33, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1673, loss_bbox: 0.6590, loss_iou: 0.9624, d0.loss_bbox: 0.7134, d0.loss_iou: 1.0316, d1.loss_bbox: 0.6887, d1.loss_iou: 1.0002, d2.loss_bbox: 0.6737, d2.loss_iou: 0.9804, d3.loss_bbox: 0.6640, d3.loss_iou: 0.9683, d4.loss_bbox: 0.6594, d4.loss_iou: 0.9629, loss: 13.1313, grad_norm: 14.2165 2022-10-26 22:01:36,567 - mmdet - INFO - Epoch [21][1200/1849] lr: 2.000e-04, eta: 5:13:16, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1642, loss_bbox: 0.6537, loss_iou: 0.9615, d0.loss_bbox: 0.7083, d0.loss_iou: 1.0309, d1.loss_bbox: 0.6850, d1.loss_iou: 0.9995, d2.loss_bbox: 0.6700, d2.loss_iou: 0.9795, d3.loss_bbox: 0.6589, d3.loss_iou: 0.9674, d4.loss_bbox: 0.6539, d4.loss_iou: 0.9620, loss: 13.0949, grad_norm: 13.7390 2022-10-26 22:01:54,394 - mmdet - INFO - Epoch [21][1250/1849] lr: 2.000e-04, eta: 5:13:00, time: 0.357, data_time: 0.009, memory: 4055, loss_contrastive: 3.1689, loss_bbox: 0.6585, loss_iou: 0.9639, d0.loss_bbox: 0.7124, d0.loss_iou: 1.0332, d1.loss_bbox: 0.6888, d1.loss_iou: 1.0034, d2.loss_bbox: 0.6733, d2.loss_iou: 0.9834, d3.loss_bbox: 0.6637, d3.loss_iou: 0.9704, d4.loss_bbox: 0.6586, d4.loss_iou: 0.9645, loss: 13.1430, grad_norm: 15.6895 2022-10-26 22:02:11,947 - mmdet - INFO - Epoch [21][1300/1849] lr: 2.000e-04, eta: 5:12:43, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1730, loss_bbox: 0.6569, loss_iou: 0.9631, d0.loss_bbox: 0.7107, d0.loss_iou: 1.0324, d1.loss_bbox: 0.6880, d1.loss_iou: 1.0024, d2.loss_bbox: 0.6729, d2.loss_iou: 0.9819, d3.loss_bbox: 0.6624, d3.loss_iou: 0.9695, d4.loss_bbox: 0.6572, d4.loss_iou: 0.9637, loss: 13.1341, grad_norm: 14.6646 2022-10-26 22:02:29,283 - mmdet - INFO - Epoch [21][1350/1849] lr: 2.000e-04, eta: 5:12:25, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1655, loss_bbox: 0.6546, loss_iou: 0.9672, d0.loss_bbox: 0.7106, d0.loss_iou: 1.0370, d1.loss_bbox: 0.6872, d1.loss_iou: 1.0078, d2.loss_bbox: 0.6707, d2.loss_iou: 0.9869, d3.loss_bbox: 0.6603, d3.loss_iou: 0.9741, d4.loss_bbox: 0.6549, d4.loss_iou: 0.9675, loss: 13.1443, grad_norm: 11.4394 2022-10-26 22:02:46,841 - mmdet - INFO - Epoch [21][1400/1849] lr: 2.000e-04, eta: 5:12:08, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1673, loss_bbox: 0.6597, loss_iou: 0.9640, d0.loss_bbox: 0.7142, d0.loss_iou: 1.0323, d1.loss_bbox: 0.6908, d1.loss_iou: 1.0030, d2.loss_bbox: 0.6756, d2.loss_iou: 0.9827, d3.loss_bbox: 0.6651, d3.loss_iou: 0.9704, d4.loss_bbox: 0.6604, d4.loss_iou: 0.9643, loss: 13.1497, grad_norm: 13.3583 2022-10-26 22:03:04,215 - mmdet - INFO - Epoch [21][1450/1849] lr: 2.000e-04, eta: 5:11:51, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1661, loss_bbox: 0.6566, loss_iou: 0.9648, d0.loss_bbox: 0.7115, d0.loss_iou: 1.0337, d1.loss_bbox: 0.6884, d1.loss_iou: 1.0033, d2.loss_bbox: 0.6736, d2.loss_iou: 0.9839, d3.loss_bbox: 0.6625, d3.loss_iou: 0.9718, d4.loss_bbox: 0.6568, d4.loss_iou: 0.9651, loss: 13.1380, grad_norm: 16.7224 2022-10-26 22:03:21,527 - mmdet - INFO - Epoch [21][1500/1849] lr: 2.000e-04, eta: 5:11:34, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1698, loss_bbox: 0.6527, loss_iou: 0.9592, d0.loss_bbox: 0.7097, d0.loss_iou: 1.0313, d1.loss_bbox: 0.6845, d1.loss_iou: 0.9999, d2.loss_bbox: 0.6703, d2.loss_iou: 0.9791, d3.loss_bbox: 0.6591, d3.loss_iou: 0.9661, d4.loss_bbox: 0.6535, d4.loss_iou: 0.9599, loss: 13.0950, grad_norm: 13.3741 2022-10-26 22:03:38,944 - mmdet - INFO - Epoch [21][1550/1849] lr: 2.000e-04, eta: 5:11:17, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1702, loss_bbox: 0.6611, loss_iou: 0.9630, d0.loss_bbox: 0.7160, d0.loss_iou: 1.0320, d1.loss_bbox: 0.6920, d1.loss_iou: 1.0017, d2.loss_bbox: 0.6768, d2.loss_iou: 0.9820, d3.loss_bbox: 0.6666, d3.loss_iou: 0.9699, d4.loss_bbox: 0.6616, d4.loss_iou: 0.9637, loss: 13.1566, grad_norm: 13.0811 2022-10-26 22:03:56,586 - mmdet - INFO - Epoch [21][1600/1849] lr: 2.000e-04, eta: 5:11:00, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1717, loss_bbox: 0.6577, loss_iou: 0.9668, d0.loss_bbox: 0.7127, d0.loss_iou: 1.0357, d1.loss_bbox: 0.6878, d1.loss_iou: 1.0047, d2.loss_bbox: 0.6735, d2.loss_iou: 0.9862, d3.loss_bbox: 0.6638, d3.loss_iou: 0.9739, d4.loss_bbox: 0.6582, d4.loss_iou: 0.9672, loss: 13.1599, grad_norm: 13.4465 2022-10-26 22:04:14,402 - mmdet - INFO - Epoch [21][1650/1849] lr: 2.000e-04, eta: 5:10:43, time: 0.356, data_time: 0.009, memory: 4055, loss_contrastive: 3.1674, loss_bbox: 0.6576, loss_iou: 0.9621, d0.loss_bbox: 0.7123, d0.loss_iou: 1.0315, d1.loss_bbox: 0.6888, d1.loss_iou: 1.0016, d2.loss_bbox: 0.6739, d2.loss_iou: 0.9812, d3.loss_bbox: 0.6633, d3.loss_iou: 0.9689, d4.loss_bbox: 0.6582, d4.loss_iou: 0.9624, loss: 13.1293, grad_norm: 11.6144 2022-10-26 22:04:31,806 - mmdet - INFO - Epoch [21][1700/1849] lr: 2.000e-04, eta: 5:10:26, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1672, loss_bbox: 0.6580, loss_iou: 0.9644, d0.loss_bbox: 0.7130, d0.loss_iou: 1.0336, d1.loss_bbox: 0.6894, d1.loss_iou: 1.0041, d2.loss_bbox: 0.6739, d2.loss_iou: 0.9837, d3.loss_bbox: 0.6636, d3.loss_iou: 0.9711, d4.loss_bbox: 0.6583, d4.loss_iou: 0.9648, loss: 13.1452, grad_norm: 16.3843 2022-10-26 22:04:49,294 - mmdet - INFO - Epoch [21][1750/1849] lr: 2.000e-04, eta: 5:10:09, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1673, loss_bbox: 0.6566, loss_iou: 0.9620, d0.loss_bbox: 0.7133, d0.loss_iou: 1.0330, d1.loss_bbox: 0.6877, d1.loss_iou: 1.0016, d2.loss_bbox: 0.6728, d2.loss_iou: 0.9813, d3.loss_bbox: 0.6619, d3.loss_iou: 0.9678, d4.loss_bbox: 0.6570, d4.loss_iou: 0.9622, loss: 13.1245, grad_norm: 13.5203 2022-10-26 22:05:07,186 - mmdet - INFO - Epoch [21][1800/1849] lr: 2.000e-04, eta: 5:09:52, time: 0.358, data_time: 0.009, memory: 4055, loss_contrastive: 3.1659, loss_bbox: 0.6553, loss_iou: 0.9628, d0.loss_bbox: 0.7106, d0.loss_iou: 1.0325, d1.loss_bbox: 0.6861, d1.loss_iou: 1.0019, d2.loss_bbox: 0.6712, d2.loss_iou: 0.9825, d3.loss_bbox: 0.6599, d3.loss_iou: 0.9691, d4.loss_bbox: 0.6556, d4.loss_iou: 0.9634, loss: 13.1168, grad_norm: 13.5852 2022-10-26 22:05:24,677 - mmdet - INFO - Saving checkpoint at 21 epochs 2022-10-26 22:05:46,750 - mmdet - INFO - Epoch [22][50/1849] lr: 2.000e-04, eta: 5:08:59, time: 0.417, data_time: 0.070, memory: 4055, loss_contrastive: 3.1695, loss_bbox: 0.6556, loss_iou: 0.9607, d0.loss_bbox: 0.7096, d0.loss_iou: 1.0304, d1.loss_bbox: 0.6848, d1.loss_iou: 0.9984, d2.loss_bbox: 0.6705, d2.loss_iou: 0.9786, d3.loss_bbox: 0.6603, d3.loss_iou: 0.9669, d4.loss_bbox: 0.6562, d4.loss_iou: 0.9609, loss: 13.1024, grad_norm: 15.3899 2022-10-26 22:06:04,000 - mmdet - INFO - Epoch [22][100/1849] lr: 2.000e-04, eta: 5:08:42, time: 0.345, data_time: 0.008, memory: 4055, loss_contrastive: 3.1655, loss_bbox: 0.6505, loss_iou: 0.9613, d0.loss_bbox: 0.7067, d0.loss_iou: 1.0332, d1.loss_bbox: 0.6814, d1.loss_iou: 0.9998, d2.loss_bbox: 0.6658, d2.loss_iou: 0.9805, d3.loss_bbox: 0.6556, d3.loss_iou: 0.9676, d4.loss_bbox: 0.6511, d4.loss_iou: 0.9620, loss: 13.0809, grad_norm: 15.0734 2022-10-26 22:06:21,533 - mmdet - INFO - Epoch [22][150/1849] lr: 2.000e-04, eta: 5:08:25, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1700, loss_bbox: 0.6530, loss_iou: 0.9636, d0.loss_bbox: 0.7102, d0.loss_iou: 1.0361, d1.loss_bbox: 0.6843, d1.loss_iou: 1.0042, d2.loss_bbox: 0.6695, d2.loss_iou: 0.9826, d3.loss_bbox: 0.6582, d3.loss_iou: 0.9705, d4.loss_bbox: 0.6532, d4.loss_iou: 0.9641, loss: 13.1194, grad_norm: 11.7042 2022-10-26 22:06:39,152 - mmdet - INFO - Epoch [22][200/1849] lr: 2.000e-04, eta: 5:08:08, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1703, loss_bbox: 0.6556, loss_iou: 0.9621, d0.loss_bbox: 0.7107, d0.loss_iou: 1.0346, d1.loss_bbox: 0.6865, d1.loss_iou: 1.0022, d2.loss_bbox: 0.6713, d2.loss_iou: 0.9819, d3.loss_bbox: 0.6606, d3.loss_iou: 0.9691, d4.loss_bbox: 0.6560, d4.loss_iou: 0.9625, loss: 13.1232, grad_norm: 14.8095 2022-10-26 22:06:56,532 - mmdet - INFO - Epoch [22][250/1849] lr: 2.000e-04, eta: 5:07:51, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1623, loss_bbox: 0.6549, loss_iou: 0.9632, d0.loss_bbox: 0.7098, d0.loss_iou: 1.0333, d1.loss_bbox: 0.6851, d1.loss_iou: 1.0016, d2.loss_bbox: 0.6714, d2.loss_iou: 0.9815, d3.loss_bbox: 0.6605, d3.loss_iou: 0.9692, d4.loss_bbox: 0.6551, d4.loss_iou: 0.9635, loss: 13.1114, grad_norm: 14.6035 2022-10-26 22:07:13,923 - mmdet - INFO - Epoch [22][300/1849] lr: 2.000e-04, eta: 5:07:34, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1706, loss_bbox: 0.6568, loss_iou: 0.9650, d0.loss_bbox: 0.7123, d0.loss_iou: 1.0364, d1.loss_bbox: 0.6863, d1.loss_iou: 1.0047, d2.loss_bbox: 0.6716, d2.loss_iou: 0.9838, d3.loss_bbox: 0.6615, d3.loss_iou: 0.9709, d4.loss_bbox: 0.6571, d4.loss_iou: 0.9655, loss: 13.1426, grad_norm: 12.8339 2022-10-26 22:07:31,490 - mmdet - INFO - Epoch [22][350/1849] lr: 2.000e-04, eta: 5:07:17, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1621, loss_bbox: 0.6552, loss_iou: 0.9631, d0.loss_bbox: 0.7102, d0.loss_iou: 1.0339, d1.loss_bbox: 0.6859, d1.loss_iou: 1.0024, d2.loss_bbox: 0.6713, d2.loss_iou: 0.9812, d3.loss_bbox: 0.6610, d3.loss_iou: 0.9689, d4.loss_bbox: 0.6556, d4.loss_iou: 0.9629, loss: 13.1139, grad_norm: 13.4601 2022-10-26 22:07:48,998 - mmdet - INFO - Epoch [22][400/1849] lr: 2.000e-04, eta: 5:07:00, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1678, loss_bbox: 0.6571, loss_iou: 0.9624, d0.loss_bbox: 0.7137, d0.loss_iou: 1.0330, d1.loss_bbox: 0.6885, d1.loss_iou: 1.0023, d2.loss_bbox: 0.6728, d2.loss_iou: 0.9818, d3.loss_bbox: 0.6625, d3.loss_iou: 0.9689, d4.loss_bbox: 0.6575, d4.loss_iou: 0.9626, loss: 13.1309, grad_norm: 13.3654 2022-10-26 22:08:06,350 - mmdet - INFO - Epoch [22][450/1849] lr: 2.000e-04, eta: 5:06:43, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1683, loss_bbox: 0.6561, loss_iou: 0.9637, d0.loss_bbox: 0.7125, d0.loss_iou: 1.0346, d1.loss_bbox: 0.6874, d1.loss_iou: 1.0033, d2.loss_bbox: 0.6718, d2.loss_iou: 0.9826, d3.loss_bbox: 0.6619, d3.loss_iou: 0.9707, d4.loss_bbox: 0.6567, d4.loss_iou: 0.9641, loss: 13.1336, grad_norm: 13.6672 2022-10-26 22:08:23,933 - mmdet - INFO - Epoch [22][500/1849] lr: 2.000e-04, eta: 5:06:26, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1673, loss_bbox: 0.6611, loss_iou: 0.9655, d0.loss_bbox: 0.7178, d0.loss_iou: 1.0365, d1.loss_bbox: 0.6917, d1.loss_iou: 1.0033, d2.loss_bbox: 0.6764, d2.loss_iou: 0.9832, d3.loss_bbox: 0.6666, d3.loss_iou: 0.9719, d4.loss_bbox: 0.6615, d4.loss_iou: 0.9661, loss: 13.1688, grad_norm: 12.0527 2022-10-26 22:08:41,716 - mmdet - INFO - Epoch [22][550/1849] lr: 2.000e-04, eta: 5:06:09, time: 0.356, data_time: 0.009, memory: 4055, loss_contrastive: 3.1642, loss_bbox: 0.6574, loss_iou: 0.9640, d0.loss_bbox: 0.7126, d0.loss_iou: 1.0337, d1.loss_bbox: 0.6890, d1.loss_iou: 1.0028, d2.loss_bbox: 0.6734, d2.loss_iou: 0.9822, d3.loss_bbox: 0.6625, d3.loss_iou: 0.9699, d4.loss_bbox: 0.6581, d4.loss_iou: 0.9641, loss: 13.1340, grad_norm: 13.5817 2022-10-26 22:08:58,938 - mmdet - INFO - Epoch [22][600/1849] lr: 2.000e-04, eta: 5:05:52, time: 0.344, data_time: 0.008, memory: 4055, loss_contrastive: 3.1730, loss_bbox: 0.6557, loss_iou: 0.9610, d0.loss_bbox: 0.7107, d0.loss_iou: 1.0314, d1.loss_bbox: 0.6860, d1.loss_iou: 1.0004, d2.loss_bbox: 0.6719, d2.loss_iou: 0.9804, d3.loss_bbox: 0.6611, d3.loss_iou: 0.9681, d4.loss_bbox: 0.6560, d4.loss_iou: 0.9619, loss: 13.1177, grad_norm: 12.2522 2022-10-26 22:09:16,327 - mmdet - INFO - Epoch [22][650/1849] lr: 2.000e-04, eta: 5:05:34, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1689, loss_bbox: 0.6551, loss_iou: 0.9602, d0.loss_bbox: 0.7107, d0.loss_iou: 1.0302, d1.loss_bbox: 0.6858, d1.loss_iou: 0.9991, d2.loss_bbox: 0.6710, d2.loss_iou: 0.9795, d3.loss_bbox: 0.6607, d3.loss_iou: 0.9665, d4.loss_bbox: 0.6554, d4.loss_iou: 0.9609, loss: 13.1040, grad_norm: 13.4345 2022-10-26 22:09:33,981 - mmdet - INFO - Epoch [22][700/1849] lr: 2.000e-04, eta: 5:05:18, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1712, loss_bbox: 0.6562, loss_iou: 0.9616, d0.loss_bbox: 0.7118, d0.loss_iou: 1.0316, d1.loss_bbox: 0.6869, d1.loss_iou: 1.0012, d2.loss_bbox: 0.6724, d2.loss_iou: 0.9811, d3.loss_bbox: 0.6620, d3.loss_iou: 0.9688, d4.loss_bbox: 0.6565, d4.loss_iou: 0.9622, loss: 13.1236, grad_norm: 14.0678 2022-10-26 22:09:51,364 - mmdet - INFO - Epoch [22][750/1849] lr: 2.000e-04, eta: 5:05:00, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1600, loss_bbox: 0.6528, loss_iou: 0.9627, d0.loss_bbox: 0.7077, d0.loss_iou: 1.0326, d1.loss_bbox: 0.6838, d1.loss_iou: 1.0011, d2.loss_bbox: 0.6686, d2.loss_iou: 0.9821, d3.loss_bbox: 0.6583, d3.loss_iou: 0.9697, d4.loss_bbox: 0.6533, d4.loss_iou: 0.9630, loss: 13.0957, grad_norm: 14.5411 2022-10-26 22:10:08,884 - mmdet - INFO - Epoch [22][800/1849] lr: 2.000e-04, eta: 5:04:43, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1628, loss_bbox: 0.6547, loss_iou: 0.9612, d0.loss_bbox: 0.7081, d0.loss_iou: 1.0297, d1.loss_bbox: 0.6853, d1.loss_iou: 0.9990, d2.loss_bbox: 0.6697, d2.loss_iou: 0.9805, d3.loss_bbox: 0.6599, d3.loss_iou: 0.9677, d4.loss_bbox: 0.6548, d4.loss_iou: 0.9620, loss: 13.0951, grad_norm: 13.8304 2022-10-26 22:10:26,455 - mmdet - INFO - Epoch [22][850/1849] lr: 2.000e-04, eta: 5:04:26, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1627, loss_bbox: 0.6549, loss_iou: 0.9587, d0.loss_bbox: 0.7095, d0.loss_iou: 1.0287, d1.loss_bbox: 0.6852, d1.loss_iou: 0.9973, d2.loss_bbox: 0.6704, d2.loss_iou: 0.9773, d3.loss_bbox: 0.6606, d3.loss_iou: 0.9655, d4.loss_bbox: 0.6555, d4.loss_iou: 0.9593, loss: 13.0855, grad_norm: 13.9692 2022-10-26 22:10:43,920 - mmdet - INFO - Epoch [22][900/1849] lr: 2.000e-04, eta: 5:04:09, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1522, loss_bbox: 0.6534, loss_iou: 0.9615, d0.loss_bbox: 0.7091, d0.loss_iou: 1.0307, d1.loss_bbox: 0.6848, d1.loss_iou: 0.9995, d2.loss_bbox: 0.6695, d2.loss_iou: 0.9799, d3.loss_bbox: 0.6589, d3.loss_iou: 0.9672, d4.loss_bbox: 0.6539, d4.loss_iou: 0.9621, loss: 13.0825, grad_norm: 14.9784 2022-10-26 22:11:01,140 - mmdet - INFO - Epoch [22][950/1849] lr: 2.000e-04, eta: 5:03:52, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1665, loss_bbox: 0.6511, loss_iou: 0.9598, d0.loss_bbox: 0.7072, d0.loss_iou: 1.0306, d1.loss_bbox: 0.6833, d1.loss_iou: 0.9997, d2.loss_bbox: 0.6673, d2.loss_iou: 0.9806, d3.loss_bbox: 0.6566, d3.loss_iou: 0.9671, d4.loss_bbox: 0.6513, d4.loss_iou: 0.9603, loss: 13.0813, grad_norm: 15.2620 2022-10-26 22:11:18,355 - mmdet - INFO - Epoch [22][1000/1849] lr: 2.000e-04, eta: 5:03:34, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1649, loss_bbox: 0.6521, loss_iou: 0.9602, d0.loss_bbox: 0.7070, d0.loss_iou: 1.0291, d1.loss_bbox: 0.6824, d1.loss_iou: 0.9989, d2.loss_bbox: 0.6677, d2.loss_iou: 0.9788, d3.loss_bbox: 0.6576, d3.loss_iou: 0.9670, d4.loss_bbox: 0.6524, d4.loss_iou: 0.9612, loss: 13.0792, grad_norm: 13.0647 2022-10-26 22:11:35,734 - mmdet - INFO - Epoch [22][1050/1849] lr: 2.000e-04, eta: 5:03:17, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1654, loss_bbox: 0.6538, loss_iou: 0.9591, d0.loss_bbox: 0.7101, d0.loss_iou: 1.0285, d1.loss_bbox: 0.6843, d1.loss_iou: 0.9982, d2.loss_bbox: 0.6698, d2.loss_iou: 0.9779, d3.loss_bbox: 0.6590, d3.loss_iou: 0.9655, d4.loss_bbox: 0.6542, d4.loss_iou: 0.9596, loss: 13.0854, grad_norm: 13.9610 2022-10-26 22:11:53,107 - mmdet - INFO - Epoch [22][1100/1849] lr: 2.000e-04, eta: 5:03:00, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1588, loss_bbox: 0.6559, loss_iou: 0.9628, d0.loss_bbox: 0.7104, d0.loss_iou: 1.0318, d1.loss_bbox: 0.6862, d1.loss_iou: 1.0020, d2.loss_bbox: 0.6720, d2.loss_iou: 0.9819, d3.loss_bbox: 0.6618, d3.loss_iou: 0.9692, d4.loss_bbox: 0.6566, d4.loss_iou: 0.9631, loss: 13.1124, grad_norm: 14.0624 2022-10-26 22:12:10,588 - mmdet - INFO - Epoch [22][1150/1849] lr: 2.000e-04, eta: 5:02:43, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1600, loss_bbox: 0.6542, loss_iou: 0.9616, d0.loss_bbox: 0.7087, d0.loss_iou: 1.0308, d1.loss_bbox: 0.6854, d1.loss_iou: 1.0007, d2.loss_bbox: 0.6707, d2.loss_iou: 0.9807, d3.loss_bbox: 0.6599, d3.loss_iou: 0.9683, d4.loss_bbox: 0.6546, d4.loss_iou: 0.9621, loss: 13.0976, grad_norm: 14.9171 2022-10-26 22:12:27,883 - mmdet - INFO - Epoch [22][1200/1849] lr: 2.000e-04, eta: 5:02:26, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1584, loss_bbox: 0.6543, loss_iou: 0.9598, d0.loss_bbox: 0.7102, d0.loss_iou: 1.0305, d1.loss_bbox: 0.6849, d1.loss_iou: 0.9994, d2.loss_bbox: 0.6692, d2.loss_iou: 0.9787, d3.loss_bbox: 0.6590, d3.loss_iou: 0.9667, d4.loss_bbox: 0.6546, d4.loss_iou: 0.9605, loss: 13.0861, grad_norm: 12.4534 2022-10-26 22:12:45,234 - mmdet - INFO - Epoch [22][1250/1849] lr: 2.000e-04, eta: 5:02:08, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1613, loss_bbox: 0.6507, loss_iou: 0.9608, d0.loss_bbox: 0.7052, d0.loss_iou: 1.0313, d1.loss_bbox: 0.6817, d1.loss_iou: 0.9993, d2.loss_bbox: 0.6662, d2.loss_iou: 0.9806, d3.loss_bbox: 0.6560, d3.loss_iou: 0.9679, d4.loss_bbox: 0.6512, d4.loss_iou: 0.9614, loss: 13.0735, grad_norm: 13.3176 2022-10-26 22:13:02,974 - mmdet - INFO - Epoch [22][1300/1849] lr: 2.000e-04, eta: 5:01:52, time: 0.355, data_time: 0.008, memory: 4055, loss_contrastive: 3.1660, loss_bbox: 0.6549, loss_iou: 0.9617, d0.loss_bbox: 0.7104, d0.loss_iou: 1.0333, d1.loss_bbox: 0.6858, d1.loss_iou: 1.0018, d2.loss_bbox: 0.6703, d2.loss_iou: 0.9814, d3.loss_bbox: 0.6601, d3.loss_iou: 0.9690, d4.loss_bbox: 0.6555, d4.loss_iou: 0.9628, loss: 13.1130, grad_norm: 13.6229 2022-10-26 22:13:20,211 - mmdet - INFO - Epoch [22][1350/1849] lr: 2.000e-04, eta: 5:01:34, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1547, loss_bbox: 0.6539, loss_iou: 0.9589, d0.loss_bbox: 0.7096, d0.loss_iou: 1.0288, d1.loss_bbox: 0.6852, d1.loss_iou: 0.9985, d2.loss_bbox: 0.6705, d2.loss_iou: 0.9784, d3.loss_bbox: 0.6598, d3.loss_iou: 0.9660, d4.loss_bbox: 0.6546, d4.loss_iou: 0.9595, loss: 13.0784, grad_norm: 12.7945 2022-10-26 22:13:37,414 - mmdet - INFO - Epoch [22][1400/1849] lr: 2.000e-04, eta: 5:01:17, time: 0.344, data_time: 0.008, memory: 4055, loss_contrastive: 3.1585, loss_bbox: 0.6530, loss_iou: 0.9613, d0.loss_bbox: 0.7091, d0.loss_iou: 1.0319, d1.loss_bbox: 0.6839, d1.loss_iou: 1.0006, d2.loss_bbox: 0.6691, d2.loss_iou: 0.9805, d3.loss_bbox: 0.6589, d3.loss_iou: 0.9679, d4.loss_bbox: 0.6534, d4.loss_iou: 0.9619, loss: 13.0902, grad_norm: 15.3148 2022-10-26 22:13:54,854 - mmdet - INFO - Epoch [22][1450/1849] lr: 2.000e-04, eta: 5:01:00, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1639, loss_bbox: 0.6562, loss_iou: 0.9608, d0.loss_bbox: 0.7118, d0.loss_iou: 1.0299, d1.loss_bbox: 0.6862, d1.loss_iou: 0.9989, d2.loss_bbox: 0.6709, d2.loss_iou: 0.9797, d3.loss_bbox: 0.6613, d3.loss_iou: 0.9673, d4.loss_bbox: 0.6567, d4.loss_iou: 0.9612, loss: 13.1048, grad_norm: 15.5395 2022-10-26 22:14:12,415 - mmdet - INFO - Epoch [22][1500/1849] lr: 2.000e-04, eta: 5:00:43, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1651, loss_bbox: 0.6499, loss_iou: 0.9579, d0.loss_bbox: 0.7062, d0.loss_iou: 1.0289, d1.loss_bbox: 0.6827, d1.loss_iou: 0.9985, d2.loss_bbox: 0.6664, d2.loss_iou: 0.9778, d3.loss_bbox: 0.6554, d3.loss_iou: 0.9644, d4.loss_bbox: 0.6504, d4.loss_iou: 0.9586, loss: 13.0622, grad_norm: 13.6966 2022-10-26 22:14:29,696 - mmdet - INFO - Epoch [22][1550/1849] lr: 2.000e-04, eta: 5:00:25, time: 0.346, data_time: 0.008, memory: 4055, loss_contrastive: 3.1664, loss_bbox: 0.6535, loss_iou: 0.9600, d0.loss_bbox: 0.7084, d0.loss_iou: 1.0289, d1.loss_bbox: 0.6853, d1.loss_iou: 0.9997, d2.loss_bbox: 0.6706, d2.loss_iou: 0.9798, d3.loss_bbox: 0.6596, d3.loss_iou: 0.9664, d4.loss_bbox: 0.6538, d4.loss_iou: 0.9606, loss: 13.0931, grad_norm: 11.9168 2022-10-26 22:14:47,085 - mmdet - INFO - Epoch [22][1600/1849] lr: 2.000e-04, eta: 5:00:08, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1554, loss_bbox: 0.6547, loss_iou: 0.9607, d0.loss_bbox: 0.7104, d0.loss_iou: 1.0304, d1.loss_bbox: 0.6866, d1.loss_iou: 0.9992, d2.loss_bbox: 0.6704, d2.loss_iou: 0.9791, d3.loss_bbox: 0.6605, d3.loss_iou: 0.9669, d4.loss_bbox: 0.6552, d4.loss_iou: 0.9609, loss: 13.0904, grad_norm: 12.9419 2022-10-26 22:15:04,667 - mmdet - INFO - Epoch [22][1650/1849] lr: 2.000e-04, eta: 4:59:51, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1599, loss_bbox: 0.6554, loss_iou: 0.9622, d0.loss_bbox: 0.7109, d0.loss_iou: 1.0314, d1.loss_bbox: 0.6868, d1.loss_iou: 1.0013, d2.loss_bbox: 0.6714, d2.loss_iou: 0.9810, d3.loss_bbox: 0.6612, d3.loss_iou: 0.9692, d4.loss_bbox: 0.6559, d4.loss_iou: 0.9626, loss: 13.1092, grad_norm: 14.8404 2022-10-26 22:15:22,336 - mmdet - INFO - Epoch [22][1700/1849] lr: 2.000e-04, eta: 4:59:34, time: 0.353, data_time: 0.008, memory: 4055, loss_contrastive: 3.1644, loss_bbox: 0.6535, loss_iou: 0.9636, d0.loss_bbox: 0.7085, d0.loss_iou: 1.0349, d1.loss_bbox: 0.6845, d1.loss_iou: 1.0026, d2.loss_bbox: 0.6694, d2.loss_iou: 0.9829, d3.loss_bbox: 0.6593, d3.loss_iou: 0.9698, d4.loss_bbox: 0.6539, d4.loss_iou: 0.9640, loss: 13.1114, grad_norm: 18.2121 2022-10-26 22:15:39,758 - mmdet - INFO - Epoch [22][1750/1849] lr: 2.000e-04, eta: 4:59:17, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1584, loss_bbox: 0.6530, loss_iou: 0.9589, d0.loss_bbox: 0.7088, d0.loss_iou: 1.0310, d1.loss_bbox: 0.6843, d1.loss_iou: 0.9981, d2.loss_bbox: 0.6688, d2.loss_iou: 0.9780, d3.loss_bbox: 0.6585, d3.loss_iou: 0.9655, d4.loss_bbox: 0.6533, d4.loss_iou: 0.9595, loss: 13.0762, grad_norm: 14.6862 2022-10-26 22:15:56,894 - mmdet - INFO - Epoch [22][1800/1849] lr: 2.000e-04, eta: 4:59:00, time: 0.343, data_time: 0.009, memory: 4055, loss_contrastive: 3.1579, loss_bbox: 0.6527, loss_iou: 0.9628, d0.loss_bbox: 0.7095, d0.loss_iou: 1.0345, d1.loss_bbox: 0.6845, d1.loss_iou: 1.0035, d2.loss_bbox: 0.6688, d2.loss_iou: 0.9829, d3.loss_bbox: 0.6585, d3.loss_iou: 0.9700, d4.loss_bbox: 0.6531, d4.loss_iou: 0.9634, loss: 13.1022, grad_norm: 13.8871 2022-10-26 22:16:14,096 - mmdet - INFO - Saving checkpoint at 22 epochs 2022-10-26 22:16:35,944 - mmdet - INFO - Epoch [23][50/1849] lr: 2.000e-04, eta: 4:58:08, time: 0.413, data_time: 0.072, memory: 4055, loss_contrastive: 3.1660, loss_bbox: 0.6505, loss_iou: 0.9577, d0.loss_bbox: 0.7071, d0.loss_iou: 1.0291, d1.loss_bbox: 0.6812, d1.loss_iou: 0.9975, d2.loss_bbox: 0.6676, d2.loss_iou: 0.9775, d3.loss_bbox: 0.6566, d3.loss_iou: 0.9645, d4.loss_bbox: 0.6508, d4.loss_iou: 0.9582, loss: 13.0644, grad_norm: 13.5169 2022-10-26 22:16:53,673 - mmdet - INFO - Epoch [23][100/1849] lr: 2.000e-04, eta: 4:57:51, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1637, loss_bbox: 0.6543, loss_iou: 0.9591, d0.loss_bbox: 0.7112, d0.loss_iou: 1.0322, d1.loss_bbox: 0.6855, d1.loss_iou: 0.9989, d2.loss_bbox: 0.6710, d2.loss_iou: 0.9789, d3.loss_bbox: 0.6602, d3.loss_iou: 0.9663, d4.loss_bbox: 0.6546, d4.loss_iou: 0.9600, loss: 13.0958, grad_norm: 12.4493 2022-10-26 22:17:11,191 - mmdet - INFO - Epoch [23][150/1849] lr: 2.000e-04, eta: 4:57:34, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1636, loss_bbox: 0.6530, loss_iou: 0.9566, d0.loss_bbox: 0.7089, d0.loss_iou: 1.0286, d1.loss_bbox: 0.6847, d1.loss_iou: 0.9967, d2.loss_bbox: 0.6708, d2.loss_iou: 0.9759, d3.loss_bbox: 0.6586, d3.loss_iou: 0.9632, d4.loss_bbox: 0.6537, d4.loss_iou: 0.9570, loss: 13.0714, grad_norm: 14.4220 2022-10-26 22:17:29,092 - mmdet - INFO - Epoch [23][200/1849] lr: 2.000e-04, eta: 4:57:18, time: 0.358, data_time: 0.009, memory: 4055, loss_contrastive: 3.1601, loss_bbox: 0.6503, loss_iou: 0.9604, d0.loss_bbox: 0.7067, d0.loss_iou: 1.0325, d1.loss_bbox: 0.6823, d1.loss_iou: 1.0010, d2.loss_bbox: 0.6668, d2.loss_iou: 0.9807, d3.loss_bbox: 0.6568, d3.loss_iou: 0.9675, d4.loss_bbox: 0.6511, d4.loss_iou: 0.9610, loss: 13.0772, grad_norm: 13.9420 2022-10-26 22:17:46,650 - mmdet - INFO - Epoch [23][250/1849] lr: 2.000e-04, eta: 4:57:01, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1618, loss_bbox: 0.6560, loss_iou: 0.9614, d0.loss_bbox: 0.7084, d0.loss_iou: 1.0280, d1.loss_bbox: 0.6861, d1.loss_iou: 0.9997, d2.loss_bbox: 0.6713, d2.loss_iou: 0.9797, d3.loss_bbox: 0.6607, d3.loss_iou: 0.9672, d4.loss_bbox: 0.6563, d4.loss_iou: 0.9618, loss: 13.0984, grad_norm: 13.0152 2022-10-26 22:18:04,022 - mmdet - INFO - Epoch [23][300/1849] lr: 2.000e-04, eta: 4:56:43, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1611, loss_bbox: 0.6545, loss_iou: 0.9590, d0.loss_bbox: 0.7109, d0.loss_iou: 1.0290, d1.loss_bbox: 0.6864, d1.loss_iou: 0.9970, d2.loss_bbox: 0.6705, d2.loss_iou: 0.9778, d3.loss_bbox: 0.6602, d3.loss_iou: 0.9650, d4.loss_bbox: 0.6549, d4.loss_iou: 0.9596, loss: 13.0859, grad_norm: 14.5101 2022-10-26 22:18:21,567 - mmdet - INFO - Epoch [23][350/1849] lr: 2.000e-04, eta: 4:56:26, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1605, loss_bbox: 0.6557, loss_iou: 0.9607, d0.loss_bbox: 0.7131, d0.loss_iou: 1.0320, d1.loss_bbox: 0.6873, d1.loss_iou: 0.9998, d2.loss_bbox: 0.6720, d2.loss_iou: 0.9803, d3.loss_bbox: 0.6612, d3.loss_iou: 0.9678, d4.loss_bbox: 0.6560, d4.loss_iou: 0.9611, loss: 13.1075, grad_norm: 13.5005 2022-10-26 22:18:38,821 - mmdet - INFO - Epoch [23][400/1849] lr: 2.000e-04, eta: 4:56:09, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1590, loss_bbox: 0.6506, loss_iou: 0.9604, d0.loss_bbox: 0.7073, d0.loss_iou: 1.0305, d1.loss_bbox: 0.6832, d1.loss_iou: 1.0003, d2.loss_bbox: 0.6675, d2.loss_iou: 0.9791, d3.loss_bbox: 0.6564, d3.loss_iou: 0.9666, d4.loss_bbox: 0.6511, d4.loss_iou: 0.9610, loss: 13.0730, grad_norm: 14.1478 2022-10-26 22:18:56,279 - mmdet - INFO - Epoch [23][450/1849] lr: 2.000e-04, eta: 4:55:52, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1546, loss_bbox: 0.6509, loss_iou: 0.9570, d0.loss_bbox: 0.7086, d0.loss_iou: 1.0286, d1.loss_bbox: 0.6838, d1.loss_iou: 0.9966, d2.loss_bbox: 0.6675, d2.loss_iou: 0.9761, d3.loss_bbox: 0.6567, d3.loss_iou: 0.9631, d4.loss_bbox: 0.6511, d4.loss_iou: 0.9574, loss: 13.0521, grad_norm: 14.0049 2022-10-26 22:19:13,918 - mmdet - INFO - Epoch [23][500/1849] lr: 2.000e-04, eta: 4:55:35, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1599, loss_bbox: 0.6527, loss_iou: 0.9562, d0.loss_bbox: 0.7094, d0.loss_iou: 1.0274, d1.loss_bbox: 0.6852, d1.loss_iou: 0.9950, d2.loss_bbox: 0.6697, d2.loss_iou: 0.9745, d3.loss_bbox: 0.6584, d3.loss_iou: 0.9624, d4.loss_bbox: 0.6529, d4.loss_iou: 0.9568, loss: 13.0604, grad_norm: 15.3837 2022-10-26 22:19:31,549 - mmdet - INFO - Epoch [23][550/1849] lr: 2.000e-04, eta: 4:55:18, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1643, loss_bbox: 0.6529, loss_iou: 0.9604, d0.loss_bbox: 0.7076, d0.loss_iou: 1.0319, d1.loss_bbox: 0.6832, d1.loss_iou: 1.0001, d2.loss_bbox: 0.6686, d2.loss_iou: 0.9796, d3.loss_bbox: 0.6589, d3.loss_iou: 0.9673, d4.loss_bbox: 0.6536, d4.loss_iou: 0.9610, loss: 13.0895, grad_norm: 15.3341 2022-10-26 22:19:49,179 - mmdet - INFO - Epoch [23][600/1849] lr: 2.000e-04, eta: 4:55:01, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1668, loss_bbox: 0.6489, loss_iou: 0.9595, d0.loss_bbox: 0.7060, d0.loss_iou: 1.0317, d1.loss_bbox: 0.6811, d1.loss_iou: 1.0007, d2.loss_bbox: 0.6655, d2.loss_iou: 0.9793, d3.loss_bbox: 0.6549, d3.loss_iou: 0.9667, d4.loss_bbox: 0.6497, d4.loss_iou: 0.9602, loss: 13.0711, grad_norm: 13.9142 2022-10-26 22:20:06,684 - mmdet - INFO - Epoch [23][650/1849] lr: 2.000e-04, eta: 4:54:44, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1650, loss_bbox: 0.6553, loss_iou: 0.9628, d0.loss_bbox: 0.7100, d0.loss_iou: 1.0315, d1.loss_bbox: 0.6868, d1.loss_iou: 1.0017, d2.loss_bbox: 0.6715, d2.loss_iou: 0.9820, d3.loss_bbox: 0.6612, d3.loss_iou: 0.9692, d4.loss_bbox: 0.6560, d4.loss_iou: 0.9631, loss: 13.1162, grad_norm: 15.1692 2022-10-26 22:20:24,414 - mmdet - INFO - Epoch [23][700/1849] lr: 2.000e-04, eta: 4:54:28, time: 0.355, data_time: 0.009, memory: 4055, loss_contrastive: 3.1572, loss_bbox: 0.6497, loss_iou: 0.9619, d0.loss_bbox: 0.7053, d0.loss_iou: 1.0343, d1.loss_bbox: 0.6807, d1.loss_iou: 1.0017, d2.loss_bbox: 0.6660, d2.loss_iou: 0.9817, d3.loss_bbox: 0.6553, d3.loss_iou: 0.9685, d4.loss_bbox: 0.6502, d4.loss_iou: 0.9623, loss: 13.0746, grad_norm: 15.6834 2022-10-26 22:20:41,900 - mmdet - INFO - Epoch [23][750/1849] lr: 2.000e-04, eta: 4:54:11, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1611, loss_bbox: 0.6527, loss_iou: 0.9571, d0.loss_bbox: 0.7083, d0.loss_iou: 1.0267, d1.loss_bbox: 0.6834, d1.loss_iou: 0.9952, d2.loss_bbox: 0.6681, d2.loss_iou: 0.9757, d3.loss_bbox: 0.6577, d3.loss_iou: 0.9628, d4.loss_bbox: 0.6531, d4.loss_iou: 0.9574, loss: 13.0594, grad_norm: 14.9173 2022-10-26 22:20:59,252 - mmdet - INFO - Epoch [23][800/1849] lr: 2.000e-04, eta: 4:53:53, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1625, loss_bbox: 0.6496, loss_iou: 0.9628, d0.loss_bbox: 0.7047, d0.loss_iou: 1.0336, d1.loss_bbox: 0.6816, d1.loss_iou: 1.0023, d2.loss_bbox: 0.6664, d2.loss_iou: 0.9817, d3.loss_bbox: 0.6557, d3.loss_iou: 0.9697, d4.loss_bbox: 0.6501, d4.loss_iou: 0.9635, loss: 13.0841, grad_norm: 14.9614 2022-10-26 22:21:16,785 - mmdet - INFO - Epoch [23][850/1849] lr: 2.000e-04, eta: 4:53:36, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1680, loss_bbox: 0.6552, loss_iou: 0.9588, d0.loss_bbox: 0.7100, d0.loss_iou: 1.0300, d1.loss_bbox: 0.6849, d1.loss_iou: 0.9974, d2.loss_bbox: 0.6708, d2.loss_iou: 0.9779, d3.loss_bbox: 0.6608, d3.loss_iou: 0.9655, d4.loss_bbox: 0.6555, d4.loss_iou: 0.9597, loss: 13.0944, grad_norm: 11.7302 2022-10-26 22:21:34,623 - mmdet - INFO - Epoch [23][900/1849] lr: 2.000e-04, eta: 4:53:20, time: 0.357, data_time: 0.011, memory: 4055, loss_contrastive: 3.1691, loss_bbox: 0.6549, loss_iou: 0.9614, d0.loss_bbox: 0.7090, d0.loss_iou: 1.0310, d1.loss_bbox: 0.6849, d1.loss_iou: 1.0003, d2.loss_bbox: 0.6702, d2.loss_iou: 0.9811, d3.loss_bbox: 0.6603, d3.loss_iou: 0.9683, d4.loss_bbox: 0.6550, d4.loss_iou: 0.9617, loss: 13.1071, grad_norm: 12.5790 2022-10-26 22:21:51,960 - mmdet - INFO - Epoch [23][950/1849] lr: 2.000e-04, eta: 4:53:02, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1662, loss_bbox: 0.6548, loss_iou: 0.9653, d0.loss_bbox: 0.7097, d0.loss_iou: 1.0344, d1.loss_bbox: 0.6855, d1.loss_iou: 1.0036, d2.loss_bbox: 0.6707, d2.loss_iou: 0.9840, d3.loss_bbox: 0.6607, d3.loss_iou: 0.9718, d4.loss_bbox: 0.6550, d4.loss_iou: 0.9659, loss: 13.1275, grad_norm: 16.6283 2022-10-26 22:22:09,366 - mmdet - INFO - Epoch [23][1000/1849] lr: 2.000e-04, eta: 4:52:45, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1642, loss_bbox: 0.6560, loss_iou: 0.9613, d0.loss_bbox: 0.7121, d0.loss_iou: 1.0321, d1.loss_bbox: 0.6872, d1.loss_iou: 0.9997, d2.loss_bbox: 0.6734, d2.loss_iou: 0.9805, d3.loss_bbox: 0.6622, d3.loss_iou: 0.9678, d4.loss_bbox: 0.6565, d4.loss_iou: 0.9618, loss: 13.1148, grad_norm: 13.4932 2022-10-26 22:22:27,058 - mmdet - INFO - Epoch [23][1050/1849] lr: 2.000e-04, eta: 4:52:28, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1620, loss_bbox: 0.6522, loss_iou: 0.9571, d0.loss_bbox: 0.7076, d0.loss_iou: 1.0272, d1.loss_bbox: 0.6836, d1.loss_iou: 0.9966, d2.loss_bbox: 0.6677, d2.loss_iou: 0.9766, d3.loss_bbox: 0.6580, d3.loss_iou: 0.9635, d4.loss_bbox: 0.6525, d4.loss_iou: 0.9579, loss: 13.0625, grad_norm: 14.2589 2022-10-26 22:22:44,535 - mmdet - INFO - Epoch [23][1100/1849] lr: 2.000e-04, eta: 4:52:11, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1588, loss_bbox: 0.6513, loss_iou: 0.9629, d0.loss_bbox: 0.7076, d0.loss_iou: 1.0339, d1.loss_bbox: 0.6825, d1.loss_iou: 1.0017, d2.loss_bbox: 0.6672, d2.loss_iou: 0.9804, d3.loss_bbox: 0.6568, d3.loss_iou: 0.9691, d4.loss_bbox: 0.6518, d4.loss_iou: 0.9632, loss: 13.0874, grad_norm: 16.2049 2022-10-26 22:23:01,986 - mmdet - INFO - Epoch [23][1150/1849] lr: 2.000e-04, eta: 4:51:54, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1537, loss_bbox: 0.6534, loss_iou: 0.9574, d0.loss_bbox: 0.7093, d0.loss_iou: 1.0284, d1.loss_bbox: 0.6850, d1.loss_iou: 0.9959, d2.loss_bbox: 0.6700, d2.loss_iou: 0.9765, d3.loss_bbox: 0.6594, d3.loss_iou: 0.9647, d4.loss_bbox: 0.6540, d4.loss_iou: 0.9582, loss: 13.0659, grad_norm: 14.0627 2022-10-26 22:23:19,453 - mmdet - INFO - Epoch [23][1200/1849] lr: 2.000e-04, eta: 4:51:37, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1582, loss_bbox: 0.6503, loss_iou: 0.9591, d0.loss_bbox: 0.7064, d0.loss_iou: 1.0301, d1.loss_bbox: 0.6825, d1.loss_iou: 0.9989, d2.loss_bbox: 0.6668, d2.loss_iou: 0.9786, d3.loss_bbox: 0.6562, d3.loss_iou: 0.9655, d4.loss_bbox: 0.6507, d4.loss_iou: 0.9594, loss: 13.0627, grad_norm: 13.5154 2022-10-26 22:23:37,304 - mmdet - INFO - Epoch [23][1250/1849] lr: 2.000e-04, eta: 4:51:21, time: 0.357, data_time: 0.008, memory: 4055, loss_contrastive: 3.1625, loss_bbox: 0.6526, loss_iou: 0.9599, d0.loss_bbox: 0.7087, d0.loss_iou: 1.0296, d1.loss_bbox: 0.6838, d1.loss_iou: 0.9982, d2.loss_bbox: 0.6691, d2.loss_iou: 0.9784, d3.loss_bbox: 0.6582, d3.loss_iou: 0.9666, d4.loss_bbox: 0.6533, d4.loss_iou: 0.9604, loss: 13.0813, grad_norm: 12.5942 2022-10-26 22:23:54,766 - mmdet - INFO - Epoch [23][1300/1849] lr: 2.000e-04, eta: 4:51:03, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1630, loss_bbox: 0.6559, loss_iou: 0.9628, d0.loss_bbox: 0.7115, d0.loss_iou: 1.0320, d1.loss_bbox: 0.6863, d1.loss_iou: 1.0026, d2.loss_bbox: 0.6710, d2.loss_iou: 0.9821, d3.loss_bbox: 0.6616, d3.loss_iou: 0.9692, d4.loss_bbox: 0.6562, d4.loss_iou: 0.9635, loss: 13.1178, grad_norm: 14.1657 2022-10-26 22:24:12,151 - mmdet - INFO - Epoch [23][1350/1849] lr: 2.000e-04, eta: 4:50:46, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1615, loss_bbox: 0.6517, loss_iou: 0.9564, d0.loss_bbox: 0.7078, d0.loss_iou: 1.0287, d1.loss_bbox: 0.6828, d1.loss_iou: 0.9963, d2.loss_bbox: 0.6680, d2.loss_iou: 0.9757, d3.loss_bbox: 0.6574, d3.loss_iou: 0.9631, d4.loss_bbox: 0.6520, d4.loss_iou: 0.9570, loss: 13.0584, grad_norm: 13.6702 2022-10-26 22:24:29,622 - mmdet - INFO - Epoch [23][1400/1849] lr: 2.000e-04, eta: 4:50:29, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1633, loss_bbox: 0.6534, loss_iou: 0.9572, d0.loss_bbox: 0.7096, d0.loss_iou: 1.0286, d1.loss_bbox: 0.6838, d1.loss_iou: 0.9965, d2.loss_bbox: 0.6695, d2.loss_iou: 0.9760, d3.loss_bbox: 0.6593, d3.loss_iou: 0.9639, d4.loss_bbox: 0.6539, d4.loss_iou: 0.9581, loss: 13.0731, grad_norm: 13.1348 2022-10-26 22:24:46,865 - mmdet - INFO - Epoch [23][1450/1849] lr: 2.000e-04, eta: 4:50:12, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1669, loss_bbox: 0.6507, loss_iou: 0.9589, d0.loss_bbox: 0.7065, d0.loss_iou: 1.0294, d1.loss_bbox: 0.6815, d1.loss_iou: 0.9980, d2.loss_bbox: 0.6668, d2.loss_iou: 0.9783, d3.loss_bbox: 0.6557, d3.loss_iou: 0.9657, d4.loss_bbox: 0.6513, d4.loss_iou: 0.9592, loss: 13.0690, grad_norm: 14.2923 2022-10-26 22:25:04,402 - mmdet - INFO - Epoch [23][1500/1849] lr: 2.000e-04, eta: 4:49:55, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1636, loss_bbox: 0.6542, loss_iou: 0.9590, d0.loss_bbox: 0.7100, d0.loss_iou: 1.0298, d1.loss_bbox: 0.6858, d1.loss_iou: 0.9992, d2.loss_bbox: 0.6710, d2.loss_iou: 0.9787, d3.loss_bbox: 0.6600, d3.loss_iou: 0.9659, d4.loss_bbox: 0.6547, d4.loss_iou: 0.9595, loss: 13.0915, grad_norm: 14.5846 2022-10-26 22:25:21,960 - mmdet - INFO - Epoch [23][1550/1849] lr: 2.000e-04, eta: 4:49:38, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1532, loss_bbox: 0.6559, loss_iou: 0.9586, d0.loss_bbox: 0.7124, d0.loss_iou: 1.0304, d1.loss_bbox: 0.6879, d1.loss_iou: 0.9990, d2.loss_bbox: 0.6720, d2.loss_iou: 0.9781, d3.loss_bbox: 0.6619, d3.loss_iou: 0.9653, d4.loss_bbox: 0.6565, d4.loss_iou: 0.9589, loss: 13.0901, grad_norm: 13.8344 2022-10-26 22:25:39,457 - mmdet - INFO - Epoch [23][1600/1849] lr: 2.000e-04, eta: 4:49:21, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1643, loss_bbox: 0.6517, loss_iou: 0.9601, d0.loss_bbox: 0.7084, d0.loss_iou: 1.0319, d1.loss_bbox: 0.6835, d1.loss_iou: 1.0004, d2.loss_bbox: 0.6674, d2.loss_iou: 0.9792, d3.loss_bbox: 0.6573, d3.loss_iou: 0.9668, d4.loss_bbox: 0.6520, d4.loss_iou: 0.9608, loss: 13.0837, grad_norm: 14.3324 2022-10-26 22:25:56,834 - mmdet - INFO - Epoch [23][1650/1849] lr: 2.000e-04, eta: 4:49:03, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1587, loss_bbox: 0.6513, loss_iou: 0.9586, d0.loss_bbox: 0.7065, d0.loss_iou: 1.0289, d1.loss_bbox: 0.6822, d1.loss_iou: 0.9980, d2.loss_bbox: 0.6669, d2.loss_iou: 0.9771, d3.loss_bbox: 0.6567, d3.loss_iou: 0.9653, d4.loss_bbox: 0.6520, d4.loss_iou: 0.9591, loss: 13.0612, grad_norm: 14.3703 2022-10-26 22:26:14,389 - mmdet - INFO - Epoch [23][1700/1849] lr: 2.000e-04, eta: 4:48:46, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1674, loss_bbox: 0.6555, loss_iou: 0.9568, d0.loss_bbox: 0.7108, d0.loss_iou: 1.0250, d1.loss_bbox: 0.6858, d1.loss_iou: 0.9954, d2.loss_bbox: 0.6713, d2.loss_iou: 0.9755, d3.loss_bbox: 0.6615, d3.loss_iou: 0.9634, d4.loss_bbox: 0.6562, d4.loss_iou: 0.9574, loss: 13.0821, grad_norm: 13.6863 2022-10-26 22:26:31,987 - mmdet - INFO - Epoch [23][1750/1849] lr: 2.000e-04, eta: 4:48:29, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1621, loss_bbox: 0.6514, loss_iou: 0.9587, d0.loss_bbox: 0.7084, d0.loss_iou: 1.0290, d1.loss_bbox: 0.6840, d1.loss_iou: 0.9991, d2.loss_bbox: 0.6683, d2.loss_iou: 0.9786, d3.loss_bbox: 0.6578, d3.loss_iou: 0.9658, d4.loss_bbox: 0.6522, d4.loss_iou: 0.9592, loss: 13.0746, grad_norm: 13.2792 2022-10-26 22:26:49,810 - mmdet - INFO - Epoch [23][1800/1849] lr: 2.000e-04, eta: 4:48:13, time: 0.356, data_time: 0.009, memory: 4055, loss_contrastive: 3.1522, loss_bbox: 0.6518, loss_iou: 0.9571, d0.loss_bbox: 0.7067, d0.loss_iou: 1.0269, d1.loss_bbox: 0.6816, d1.loss_iou: 0.9953, d2.loss_bbox: 0.6668, d2.loss_iou: 0.9759, d3.loss_bbox: 0.6573, d3.loss_iou: 0.9637, d4.loss_bbox: 0.6520, d4.loss_iou: 0.9576, loss: 13.0450, grad_norm: 13.8145 2022-10-26 22:27:07,013 - mmdet - INFO - Saving checkpoint at 23 epochs 2022-10-26 22:27:28,874 - mmdet - INFO - Epoch [24][50/1849] lr: 2.000e-04, eta: 4:47:23, time: 0.413, data_time: 0.070, memory: 4055, loss_contrastive: 3.1671, loss_bbox: 0.6528, loss_iou: 0.9609, d0.loss_bbox: 0.7080, d0.loss_iou: 1.0304, d1.loss_bbox: 0.6829, d1.loss_iou: 0.9996, d2.loss_bbox: 0.6676, d2.loss_iou: 0.9798, d3.loss_bbox: 0.6577, d3.loss_iou: 0.9679, d4.loss_bbox: 0.6533, d4.loss_iou: 0.9612, loss: 13.0891, grad_norm: 14.6346 2022-10-26 22:27:46,167 - mmdet - INFO - Epoch [24][100/1849] lr: 2.000e-04, eta: 4:47:05, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1508, loss_bbox: 0.6491, loss_iou: 0.9564, d0.loss_bbox: 0.7048, d0.loss_iou: 1.0273, d1.loss_bbox: 0.6819, d1.loss_iou: 0.9970, d2.loss_bbox: 0.6658, d2.loss_iou: 0.9764, d3.loss_bbox: 0.6546, d3.loss_iou: 0.9631, d4.loss_bbox: 0.6497, d4.loss_iou: 0.9569, loss: 13.0338, grad_norm: 12.3843 2022-10-26 22:28:03,359 - mmdet - INFO - Epoch [24][150/1849] lr: 2.000e-04, eta: 4:46:48, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1610, loss_bbox: 0.6498, loss_iou: 0.9554, d0.loss_bbox: 0.7057, d0.loss_iou: 1.0272, d1.loss_bbox: 0.6815, d1.loss_iou: 0.9961, d2.loss_bbox: 0.6659, d2.loss_iou: 0.9757, d3.loss_bbox: 0.6553, d3.loss_iou: 0.9632, d4.loss_bbox: 0.6498, d4.loss_iou: 0.9563, loss: 13.0429, grad_norm: 14.2179 2022-10-26 22:28:21,139 - mmdet - INFO - Epoch [24][200/1849] lr: 2.000e-04, eta: 4:46:31, time: 0.356, data_time: 0.009, memory: 4055, loss_contrastive: 3.1617, loss_bbox: 0.6543, loss_iou: 0.9572, d0.loss_bbox: 0.7100, d0.loss_iou: 1.0292, d1.loss_bbox: 0.6856, d1.loss_iou: 0.9971, d2.loss_bbox: 0.6704, d2.loss_iou: 0.9767, d3.loss_bbox: 0.6603, d3.loss_iou: 0.9638, d4.loss_bbox: 0.6547, d4.loss_iou: 0.9578, loss: 13.0788, grad_norm: 13.1846 2022-10-26 22:28:38,432 - mmdet - INFO - Epoch [24][250/1849] lr: 2.000e-04, eta: 4:46:14, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1530, loss_bbox: 0.6551, loss_iou: 0.9567, d0.loss_bbox: 0.7103, d0.loss_iou: 1.0291, d1.loss_bbox: 0.6861, d1.loss_iou: 0.9958, d2.loss_bbox: 0.6711, d2.loss_iou: 0.9755, d3.loss_bbox: 0.6608, d3.loss_iou: 0.9631, d4.loss_bbox: 0.6557, d4.loss_iou: 0.9573, loss: 13.0695, grad_norm: 12.4719 2022-10-26 22:28:55,567 - mmdet - INFO - Epoch [24][300/1849] lr: 2.000e-04, eta: 4:45:56, time: 0.343, data_time: 0.009, memory: 4055, loss_contrastive: 3.1558, loss_bbox: 0.6491, loss_iou: 0.9594, d0.loss_bbox: 0.7054, d0.loss_iou: 1.0312, d1.loss_bbox: 0.6811, d1.loss_iou: 0.9986, d2.loss_bbox: 0.6656, d2.loss_iou: 0.9783, d3.loss_bbox: 0.6548, d3.loss_iou: 0.9657, d4.loss_bbox: 0.6498, d4.loss_iou: 0.9600, loss: 13.0547, grad_norm: 14.5034 2022-10-26 22:29:12,961 - mmdet - INFO - Epoch [24][350/1849] lr: 2.000e-04, eta: 4:45:39, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1643, loss_bbox: 0.6550, loss_iou: 0.9628, d0.loss_bbox: 0.7110, d0.loss_iou: 1.0335, d1.loss_bbox: 0.6870, d1.loss_iou: 1.0027, d2.loss_bbox: 0.6708, d2.loss_iou: 0.9816, d3.loss_bbox: 0.6608, d3.loss_iou: 0.9696, d4.loss_bbox: 0.6552, d4.loss_iou: 0.9632, loss: 13.1176, grad_norm: 11.6805 2022-10-26 22:29:30,357 - mmdet - INFO - Epoch [24][400/1849] lr: 2.000e-04, eta: 4:45:22, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1577, loss_bbox: 0.6540, loss_iou: 0.9588, d0.loss_bbox: 0.7096, d0.loss_iou: 1.0309, d1.loss_bbox: 0.6856, d1.loss_iou: 0.9990, d2.loss_bbox: 0.6698, d2.loss_iou: 0.9783, d3.loss_bbox: 0.6592, d3.loss_iou: 0.9663, d4.loss_bbox: 0.6545, d4.loss_iou: 0.9595, loss: 13.0832, grad_norm: 12.4847 2022-10-26 22:29:48,083 - mmdet - INFO - Epoch [24][450/1849] lr: 2.000e-04, eta: 4:45:05, time: 0.355, data_time: 0.009, memory: 4055, loss_contrastive: 3.1599, loss_bbox: 0.6547, loss_iou: 0.9593, d0.loss_bbox: 0.7109, d0.loss_iou: 1.0304, d1.loss_bbox: 0.6859, d1.loss_iou: 0.9982, d2.loss_bbox: 0.6704, d2.loss_iou: 0.9777, d3.loss_bbox: 0.6606, d3.loss_iou: 0.9652, d4.loss_bbox: 0.6547, d4.loss_iou: 0.9597, loss: 13.0875, grad_norm: 14.1502 2022-10-26 22:30:05,365 - mmdet - INFO - Epoch [24][500/1849] lr: 2.000e-04, eta: 4:44:48, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1585, loss_bbox: 0.6476, loss_iou: 0.9602, d0.loss_bbox: 0.7048, d0.loss_iou: 1.0318, d1.loss_bbox: 0.6794, d1.loss_iou: 0.9988, d2.loss_bbox: 0.6634, d2.loss_iou: 0.9794, d3.loss_bbox: 0.6537, d3.loss_iou: 0.9663, d4.loss_bbox: 0.6481, d4.loss_iou: 0.9607, loss: 13.0529, grad_norm: 15.1592 2022-10-26 22:30:22,773 - mmdet - INFO - Epoch [24][550/1849] lr: 2.000e-04, eta: 4:44:31, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1645, loss_bbox: 0.6527, loss_iou: 0.9585, d0.loss_bbox: 0.7095, d0.loss_iou: 1.0301, d1.loss_bbox: 0.6847, d1.loss_iou: 0.9977, d2.loss_bbox: 0.6690, d2.loss_iou: 0.9772, d3.loss_bbox: 0.6584, d3.loss_iou: 0.9652, d4.loss_bbox: 0.6534, d4.loss_iou: 0.9593, loss: 13.0803, grad_norm: 13.8837 2022-10-26 22:30:40,250 - mmdet - INFO - Epoch [24][600/1849] lr: 2.000e-04, eta: 4:44:14, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1596, loss_bbox: 0.6524, loss_iou: 0.9550, d0.loss_bbox: 0.7101, d0.loss_iou: 1.0279, d1.loss_bbox: 0.6836, d1.loss_iou: 0.9951, d2.loss_bbox: 0.6683, d2.loss_iou: 0.9743, d3.loss_bbox: 0.6580, d3.loss_iou: 0.9615, d4.loss_bbox: 0.6527, d4.loss_iou: 0.9557, loss: 13.0543, grad_norm: 14.1611 2022-10-26 22:30:57,710 - mmdet - INFO - Epoch [24][650/1849] lr: 2.000e-04, eta: 4:43:57, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1568, loss_bbox: 0.6503, loss_iou: 0.9547, d0.loss_bbox: 0.7051, d0.loss_iou: 1.0251, d1.loss_bbox: 0.6820, d1.loss_iou: 0.9938, d2.loss_bbox: 0.6665, d2.loss_iou: 0.9740, d3.loss_bbox: 0.6557, d3.loss_iou: 0.9614, d4.loss_bbox: 0.6510, d4.loss_iou: 0.9555, loss: 13.0320, grad_norm: 12.1401 2022-10-26 22:31:15,153 - mmdet - INFO - Epoch [24][700/1849] lr: 2.000e-04, eta: 4:43:40, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1541, loss_bbox: 0.6538, loss_iou: 0.9581, d0.loss_bbox: 0.7098, d0.loss_iou: 1.0276, d1.loss_bbox: 0.6855, d1.loss_iou: 0.9977, d2.loss_bbox: 0.6697, d2.loss_iou: 0.9775, d3.loss_bbox: 0.6594, d3.loss_iou: 0.9652, d4.loss_bbox: 0.6543, d4.loss_iou: 0.9588, loss: 13.0715, grad_norm: 13.0864 2022-10-26 22:31:32,828 - mmdet - INFO - Epoch [24][750/1849] lr: 2.000e-04, eta: 4:43:23, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1640, loss_bbox: 0.6526, loss_iou: 0.9577, d0.loss_bbox: 0.7077, d0.loss_iou: 1.0265, d1.loss_bbox: 0.6840, d1.loss_iou: 0.9967, d2.loss_bbox: 0.6689, d2.loss_iou: 0.9759, d3.loss_bbox: 0.6586, d3.loss_iou: 0.9643, d4.loss_bbox: 0.6529, d4.loss_iou: 0.9584, loss: 13.0682, grad_norm: 13.7361 2022-10-26 22:31:50,107 - mmdet - INFO - Epoch [24][800/1849] lr: 2.000e-04, eta: 4:43:05, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1628, loss_bbox: 0.6475, loss_iou: 0.9552, d0.loss_bbox: 0.7044, d0.loss_iou: 1.0258, d1.loss_bbox: 0.6802, d1.loss_iou: 0.9952, d2.loss_bbox: 0.6641, d2.loss_iou: 0.9746, d3.loss_bbox: 0.6530, d3.loss_iou: 0.9619, d4.loss_bbox: 0.6480, d4.loss_iou: 0.9558, loss: 13.0286, grad_norm: 15.2918 2022-10-26 22:32:07,515 - mmdet - INFO - Epoch [24][850/1849] lr: 2.000e-04, eta: 4:42:48, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1581, loss_bbox: 0.6493, loss_iou: 0.9574, d0.loss_bbox: 0.7043, d0.loss_iou: 1.0285, d1.loss_bbox: 0.6803, d1.loss_iou: 0.9978, d2.loss_bbox: 0.6654, d2.loss_iou: 0.9764, d3.loss_bbox: 0.6551, d3.loss_iou: 0.9639, d4.loss_bbox: 0.6496, d4.loss_iou: 0.9578, loss: 13.0439, grad_norm: 14.1374 2022-10-26 22:32:25,245 - mmdet - INFO - Epoch [24][900/1849] lr: 2.000e-04, eta: 4:42:32, time: 0.355, data_time: 0.009, memory: 4055, loss_contrastive: 3.1590, loss_bbox: 0.6538, loss_iou: 0.9564, d0.loss_bbox: 0.7097, d0.loss_iou: 1.0288, d1.loss_bbox: 0.6860, d1.loss_iou: 0.9962, d2.loss_bbox: 0.6700, d2.loss_iou: 0.9761, d3.loss_bbox: 0.6592, d3.loss_iou: 0.9630, d4.loss_bbox: 0.6543, d4.loss_iou: 0.9570, loss: 13.0695, grad_norm: 13.6513 2022-10-26 22:32:42,896 - mmdet - INFO - Epoch [24][950/1849] lr: 2.000e-04, eta: 4:42:15, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1584, loss_bbox: 0.6548, loss_iou: 0.9590, d0.loss_bbox: 0.7096, d0.loss_iou: 1.0308, d1.loss_bbox: 0.6867, d1.loss_iou: 0.9993, d2.loss_bbox: 0.6716, d2.loss_iou: 0.9796, d3.loss_bbox: 0.6603, d3.loss_iou: 0.9660, d4.loss_bbox: 0.6551, d4.loss_iou: 0.9597, loss: 13.0910, grad_norm: 13.3699 2022-10-26 22:33:00,266 - mmdet - INFO - Epoch [24][1000/1849] lr: 2.000e-04, eta: 4:41:57, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1540, loss_bbox: 0.6491, loss_iou: 0.9615, d0.loss_bbox: 0.7061, d0.loss_iou: 1.0351, d1.loss_bbox: 0.6811, d1.loss_iou: 1.0019, d2.loss_bbox: 0.6656, d2.loss_iou: 0.9821, d3.loss_bbox: 0.6552, d3.loss_iou: 0.9686, d4.loss_bbox: 0.6496, d4.loss_iou: 0.9621, loss: 13.0720, grad_norm: 13.4919 2022-10-26 22:33:17,696 - mmdet - INFO - Epoch [24][1050/1849] lr: 2.000e-04, eta: 4:41:40, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1578, loss_bbox: 0.6527, loss_iou: 0.9566, d0.loss_bbox: 0.7097, d0.loss_iou: 1.0280, d1.loss_bbox: 0.6854, d1.loss_iou: 0.9967, d2.loss_bbox: 0.6696, d2.loss_iou: 0.9761, d3.loss_bbox: 0.6584, d3.loss_iou: 0.9636, d4.loss_bbox: 0.6532, d4.loss_iou: 0.9572, loss: 13.0650, grad_norm: 13.7678 2022-10-26 22:33:35,051 - mmdet - INFO - Epoch [24][1100/1849] lr: 2.000e-04, eta: 4:41:23, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1594, loss_bbox: 0.6495, loss_iou: 0.9593, d0.loss_bbox: 0.7040, d0.loss_iou: 1.0301, d1.loss_bbox: 0.6808, d1.loss_iou: 0.9999, d2.loss_bbox: 0.6665, d2.loss_iou: 0.9794, d3.loss_bbox: 0.6554, d3.loss_iou: 0.9669, d4.loss_bbox: 0.6498, d4.loss_iou: 0.9599, loss: 13.0609, grad_norm: 14.4504 2022-10-26 22:33:52,617 - mmdet - INFO - Epoch [24][1150/1849] lr: 2.000e-04, eta: 4:41:06, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1577, loss_bbox: 0.6544, loss_iou: 0.9569, d0.loss_bbox: 0.7084, d0.loss_iou: 1.0262, d1.loss_bbox: 0.6852, d1.loss_iou: 0.9956, d2.loss_bbox: 0.6708, d2.loss_iou: 0.9763, d3.loss_bbox: 0.6603, d3.loss_iou: 0.9642, d4.loss_bbox: 0.6548, d4.loss_iou: 0.9575, loss: 13.0684, grad_norm: 14.0335 2022-10-26 22:34:10,002 - mmdet - INFO - Epoch [24][1200/1849] lr: 2.000e-04, eta: 4:40:49, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1640, loss_bbox: 0.6527, loss_iou: 0.9590, d0.loss_bbox: 0.7107, d0.loss_iou: 1.0330, d1.loss_bbox: 0.6861, d1.loss_iou: 0.9999, d2.loss_bbox: 0.6694, d2.loss_iou: 0.9786, d3.loss_bbox: 0.6589, d3.loss_iou: 0.9659, d4.loss_bbox: 0.6533, d4.loss_iou: 0.9595, loss: 13.0909, grad_norm: 12.5580 2022-10-26 22:34:27,331 - mmdet - INFO - Epoch [24][1250/1849] lr: 2.000e-04, eta: 4:40:32, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1621, loss_bbox: 0.6523, loss_iou: 0.9603, d0.loss_bbox: 0.7105, d0.loss_iou: 1.0338, d1.loss_bbox: 0.6852, d1.loss_iou: 1.0006, d2.loss_bbox: 0.6692, d2.loss_iou: 0.9798, d3.loss_bbox: 0.6585, d3.loss_iou: 0.9679, d4.loss_bbox: 0.6530, d4.loss_iou: 0.9608, loss: 13.0940, grad_norm: 14.4609 2022-10-26 22:34:44,828 - mmdet - INFO - Epoch [24][1300/1849] lr: 2.000e-04, eta: 4:40:15, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1519, loss_bbox: 0.6508, loss_iou: 0.9575, d0.loss_bbox: 0.7070, d0.loss_iou: 1.0297, d1.loss_bbox: 0.6828, d1.loss_iou: 0.9973, d2.loss_bbox: 0.6674, d2.loss_iou: 0.9766, d3.loss_bbox: 0.6566, d3.loss_iou: 0.9640, d4.loss_bbox: 0.6512, d4.loss_iou: 0.9582, loss: 13.0509, grad_norm: 13.0222 2022-10-26 22:35:02,207 - mmdet - INFO - Epoch [24][1350/1849] lr: 2.000e-04, eta: 4:39:57, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1563, loss_bbox: 0.6466, loss_iou: 0.9581, d0.loss_bbox: 0.7013, d0.loss_iou: 1.0288, d1.loss_bbox: 0.6784, d1.loss_iou: 0.9979, d2.loss_bbox: 0.6632, d2.loss_iou: 0.9782, d3.loss_bbox: 0.6524, d3.loss_iou: 0.9644, d4.loss_bbox: 0.6473, d4.loss_iou: 0.9585, loss: 13.0313, grad_norm: 13.6997 2022-10-26 22:35:19,697 - mmdet - INFO - Epoch [24][1400/1849] lr: 2.000e-04, eta: 4:39:40, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1569, loss_bbox: 0.6512, loss_iou: 0.9567, d0.loss_bbox: 0.7068, d0.loss_iou: 1.0282, d1.loss_bbox: 0.6835, d1.loss_iou: 0.9965, d2.loss_bbox: 0.6678, d2.loss_iou: 0.9760, d3.loss_bbox: 0.6567, d3.loss_iou: 0.9637, d4.loss_bbox: 0.6517, d4.loss_iou: 0.9573, loss: 13.0530, grad_norm: 13.3734 2022-10-26 22:35:37,118 - mmdet - INFO - Epoch [24][1450/1849] lr: 2.000e-04, eta: 4:39:23, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1575, loss_bbox: 0.6477, loss_iou: 0.9587, d0.loss_bbox: 0.7047, d0.loss_iou: 1.0304, d1.loss_bbox: 0.6802, d1.loss_iou: 0.9978, d2.loss_bbox: 0.6645, d2.loss_iou: 0.9777, d3.loss_bbox: 0.6537, d3.loss_iou: 0.9646, d4.loss_bbox: 0.6483, d4.loss_iou: 0.9592, loss: 13.0450, grad_norm: 13.2159 2022-10-26 22:35:54,448 - mmdet - INFO - Epoch [24][1500/1849] lr: 2.000e-04, eta: 4:39:06, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1651, loss_bbox: 0.6538, loss_iou: 0.9573, d0.loss_bbox: 0.7091, d0.loss_iou: 1.0290, d1.loss_bbox: 0.6856, d1.loss_iou: 0.9972, d2.loss_bbox: 0.6700, d2.loss_iou: 0.9767, d3.loss_bbox: 0.6594, d3.loss_iou: 0.9638, d4.loss_bbox: 0.6545, d4.loss_iou: 0.9578, loss: 13.0791, grad_norm: 13.1363 2022-10-26 22:36:11,900 - mmdet - INFO - Epoch [24][1550/1849] lr: 2.000e-04, eta: 4:38:49, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1524, loss_bbox: 0.6529, loss_iou: 0.9561, d0.loss_bbox: 0.7081, d0.loss_iou: 1.0256, d1.loss_bbox: 0.6839, d1.loss_iou: 0.9945, d2.loss_bbox: 0.6689, d2.loss_iou: 0.9744, d3.loss_bbox: 0.6589, d3.loss_iou: 0.9628, d4.loss_bbox: 0.6533, d4.loss_iou: 0.9569, loss: 13.0487, grad_norm: 11.7467 2022-10-26 22:36:29,449 - mmdet - INFO - Epoch [24][1600/1849] lr: 2.000e-04, eta: 4:38:32, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1607, loss_bbox: 0.6526, loss_iou: 0.9579, d0.loss_bbox: 0.7081, d0.loss_iou: 1.0296, d1.loss_bbox: 0.6844, d1.loss_iou: 0.9976, d2.loss_bbox: 0.6689, d2.loss_iou: 0.9776, d3.loss_bbox: 0.6582, d3.loss_iou: 0.9647, d4.loss_bbox: 0.6529, d4.loss_iou: 0.9586, loss: 13.0719, grad_norm: 14.9980 2022-10-26 22:36:46,687 - mmdet - INFO - Epoch [24][1650/1849] lr: 2.000e-04, eta: 4:38:14, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1564, loss_bbox: 0.6485, loss_iou: 0.9522, d0.loss_bbox: 0.7025, d0.loss_iou: 1.0222, d1.loss_bbox: 0.6794, d1.loss_iou: 0.9908, d2.loss_bbox: 0.6643, d2.loss_iou: 0.9717, d3.loss_bbox: 0.6544, d3.loss_iou: 0.9590, d4.loss_bbox: 0.6490, d4.loss_iou: 0.9528, loss: 13.0034, grad_norm: 13.6476 2022-10-26 22:37:04,012 - mmdet - INFO - Epoch [24][1700/1849] lr: 2.000e-04, eta: 4:37:57, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1538, loss_bbox: 0.6450, loss_iou: 0.9548, d0.loss_bbox: 0.7012, d0.loss_iou: 1.0256, d1.loss_bbox: 0.6768, d1.loss_iou: 0.9950, d2.loss_bbox: 0.6613, d2.loss_iou: 0.9745, d3.loss_bbox: 0.6508, d3.loss_iou: 0.9622, d4.loss_bbox: 0.6454, d4.loss_iou: 0.9551, loss: 13.0014, grad_norm: 14.4614 2022-10-26 22:37:21,222 - mmdet - INFO - Epoch [24][1750/1849] lr: 2.000e-04, eta: 4:37:40, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1512, loss_bbox: 0.6507, loss_iou: 0.9584, d0.loss_bbox: 0.7058, d0.loss_iou: 1.0304, d1.loss_bbox: 0.6825, d1.loss_iou: 0.9985, d2.loss_bbox: 0.6668, d2.loss_iou: 0.9783, d3.loss_bbox: 0.6562, d3.loss_iou: 0.9654, d4.loss_bbox: 0.6515, d4.loss_iou: 0.9587, loss: 13.0542, grad_norm: 14.1336 2022-10-26 22:37:38,381 - mmdet - INFO - Epoch [24][1800/1849] lr: 2.000e-04, eta: 4:37:22, time: 0.343, data_time: 0.009, memory: 4055, loss_contrastive: 3.1535, loss_bbox: 0.6509, loss_iou: 0.9539, d0.loss_bbox: 0.7073, d0.loss_iou: 1.0266, d1.loss_bbox: 0.6829, d1.loss_iou: 0.9939, d2.loss_bbox: 0.6675, d2.loss_iou: 0.9737, d3.loss_bbox: 0.6570, d3.loss_iou: 0.9611, d4.loss_bbox: 0.6514, d4.loss_iou: 0.9548, loss: 13.0346, grad_norm: 12.5197 2022-10-26 22:37:55,449 - mmdet - INFO - Saving checkpoint at 24 epochs 2022-10-26 22:38:17,161 - mmdet - INFO - Epoch [25][50/1849] lr: 2.000e-04, eta: 4:36:33, time: 0.410, data_time: 0.070, memory: 4055, loss_contrastive: 3.1622, loss_bbox: 0.6488, loss_iou: 0.9617, d0.loss_bbox: 0.7041, d0.loss_iou: 1.0329, d1.loss_bbox: 0.6820, d1.loss_iou: 1.0026, d2.loss_bbox: 0.6662, d2.loss_iou: 0.9818, d3.loss_bbox: 0.6551, d3.loss_iou: 0.9687, d4.loss_bbox: 0.6498, d4.loss_iou: 0.9623, loss: 13.0781, grad_norm: 13.7499 2022-10-26 22:38:34,581 - mmdet - INFO - Epoch [25][100/1849] lr: 2.000e-04, eta: 4:36:16, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1513, loss_bbox: 0.6472, loss_iou: 0.9522, d0.loss_bbox: 0.7039, d0.loss_iou: 1.0229, d1.loss_bbox: 0.6794, d1.loss_iou: 0.9927, d2.loss_bbox: 0.6632, d2.loss_iou: 0.9714, d3.loss_bbox: 0.6529, d3.loss_iou: 0.9595, d4.loss_bbox: 0.6478, d4.loss_iou: 0.9527, loss: 12.9970, grad_norm: 14.1761 2022-10-26 22:38:51,974 - mmdet - INFO - Epoch [25][150/1849] lr: 2.000e-04, eta: 4:35:59, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1493, loss_bbox: 0.6435, loss_iou: 0.9543, d0.loss_bbox: 0.7000, d0.loss_iou: 1.0266, d1.loss_bbox: 0.6755, d1.loss_iou: 0.9947, d2.loss_bbox: 0.6601, d2.loss_iou: 0.9747, d3.loss_bbox: 0.6498, d3.loss_iou: 0.9610, d4.loss_bbox: 0.6441, d4.loss_iou: 0.9549, loss: 12.9885, grad_norm: 13.3257 2022-10-26 22:39:09,434 - mmdet - INFO - Epoch [25][200/1849] lr: 2.000e-04, eta: 4:35:42, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1568, loss_bbox: 0.6480, loss_iou: 0.9525, d0.loss_bbox: 0.7039, d0.loss_iou: 1.0250, d1.loss_bbox: 0.6794, d1.loss_iou: 0.9935, d2.loss_bbox: 0.6642, d2.loss_iou: 0.9727, d3.loss_bbox: 0.6531, d3.loss_iou: 0.9602, d4.loss_bbox: 0.6480, d4.loss_iou: 0.9536, loss: 13.0108, grad_norm: 13.8267 2022-10-26 22:39:27,130 - mmdet - INFO - Epoch [25][250/1849] lr: 2.000e-04, eta: 4:35:25, time: 0.354, data_time: 0.010, memory: 4055, loss_contrastive: 3.1579, loss_bbox: 0.6472, loss_iou: 0.9540, d0.loss_bbox: 0.7014, d0.loss_iou: 1.0243, d1.loss_bbox: 0.6778, d1.loss_iou: 0.9949, d2.loss_bbox: 0.6639, d2.loss_iou: 0.9742, d3.loss_bbox: 0.6530, d3.loss_iou: 0.9610, d4.loss_bbox: 0.6477, d4.loss_iou: 0.9549, loss: 13.0121, grad_norm: 12.2669 2022-10-26 22:39:44,937 - mmdet - INFO - Epoch [25][300/1849] lr: 2.000e-04, eta: 4:35:08, time: 0.356, data_time: 0.010, memory: 4055, loss_contrastive: 3.1608, loss_bbox: 0.6516, loss_iou: 0.9577, d0.loss_bbox: 0.7082, d0.loss_iou: 1.0290, d1.loss_bbox: 0.6833, d1.loss_iou: 0.9972, d2.loss_bbox: 0.6682, d2.loss_iou: 0.9769, d3.loss_bbox: 0.6576, d3.loss_iou: 0.9640, d4.loss_bbox: 0.6519, d4.loss_iou: 0.9584, loss: 13.0650, grad_norm: 13.8441 2022-10-26 22:40:02,459 - mmdet - INFO - Epoch [25][350/1849] lr: 2.000e-04, eta: 4:34:51, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1571, loss_bbox: 0.6506, loss_iou: 0.9566, d0.loss_bbox: 0.7076, d0.loss_iou: 1.0285, d1.loss_bbox: 0.6824, d1.loss_iou: 0.9968, d2.loss_bbox: 0.6668, d2.loss_iou: 0.9763, d3.loss_bbox: 0.6566, d3.loss_iou: 0.9633, d4.loss_bbox: 0.6513, d4.loss_iou: 0.9572, loss: 13.0510, grad_norm: 15.3080 2022-10-26 22:40:19,974 - mmdet - INFO - Epoch [25][400/1849] lr: 2.000e-04, eta: 4:34:34, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1553, loss_bbox: 0.6473, loss_iou: 0.9534, d0.loss_bbox: 0.7033, d0.loss_iou: 1.0262, d1.loss_bbox: 0.6795, d1.loss_iou: 0.9947, d2.loss_bbox: 0.6640, d2.loss_iou: 0.9731, d3.loss_bbox: 0.6540, d3.loss_iou: 0.9604, d4.loss_bbox: 0.6480, d4.loss_iou: 0.9541, loss: 13.0134, grad_norm: 14.9925 2022-10-26 22:40:37,289 - mmdet - INFO - Epoch [25][450/1849] lr: 2.000e-04, eta: 4:34:17, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1541, loss_bbox: 0.6477, loss_iou: 0.9547, d0.loss_bbox: 0.7032, d0.loss_iou: 1.0259, d1.loss_bbox: 0.6790, d1.loss_iou: 0.9943, d2.loss_bbox: 0.6652, d2.loss_iou: 0.9741, d3.loss_bbox: 0.6542, d3.loss_iou: 0.9618, d4.loss_bbox: 0.6484, d4.loss_iou: 0.9555, loss: 13.0181, grad_norm: 13.4616 2022-10-26 22:40:54,701 - mmdet - INFO - Epoch [25][500/1849] lr: 2.000e-04, eta: 4:34:00, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1622, loss_bbox: 0.6496, loss_iou: 0.9574, d0.loss_bbox: 0.7054, d0.loss_iou: 1.0274, d1.loss_bbox: 0.6804, d1.loss_iou: 0.9966, d2.loss_bbox: 0.6658, d2.loss_iou: 0.9763, d3.loss_bbox: 0.6552, d3.loss_iou: 0.9639, d4.loss_bbox: 0.6499, d4.loss_iou: 0.9579, loss: 13.0480, grad_norm: 15.5016 2022-10-26 22:41:12,147 - mmdet - INFO - Epoch [25][550/1849] lr: 2.000e-04, eta: 4:33:43, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1578, loss_bbox: 0.6468, loss_iou: 0.9550, d0.loss_bbox: 0.7021, d0.loss_iou: 1.0254, d1.loss_bbox: 0.6790, d1.loss_iou: 0.9948, d2.loss_bbox: 0.6630, d2.loss_iou: 0.9738, d3.loss_bbox: 0.6528, d3.loss_iou: 0.9620, d4.loss_bbox: 0.6475, d4.loss_iou: 0.9555, loss: 13.0155, grad_norm: 15.8452 2022-10-26 22:41:29,662 - mmdet - INFO - Epoch [25][600/1849] lr: 2.000e-04, eta: 4:33:26, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1569, loss_bbox: 0.6490, loss_iou: 0.9555, d0.loss_bbox: 0.7057, d0.loss_iou: 1.0286, d1.loss_bbox: 0.6807, d1.loss_iou: 0.9959, d2.loss_bbox: 0.6655, d2.loss_iou: 0.9756, d3.loss_bbox: 0.6547, d3.loss_iou: 0.9627, d4.loss_bbox: 0.6497, d4.loss_iou: 0.9559, loss: 13.0365, grad_norm: 12.4648 2022-10-26 22:41:47,132 - mmdet - INFO - Epoch [25][650/1849] lr: 2.000e-04, eta: 4:33:09, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1573, loss_bbox: 0.6533, loss_iou: 0.9595, d0.loss_bbox: 0.7055, d0.loss_iou: 1.0260, d1.loss_bbox: 0.6819, d1.loss_iou: 0.9966, d2.loss_bbox: 0.6683, d2.loss_iou: 0.9777, d3.loss_bbox: 0.6584, d3.loss_iou: 0.9653, d4.loss_bbox: 0.6539, d4.loss_iou: 0.9597, loss: 13.0634, grad_norm: 13.3052 2022-10-26 22:42:04,337 - mmdet - INFO - Epoch [25][700/1849] lr: 2.000e-04, eta: 4:32:51, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1557, loss_bbox: 0.6505, loss_iou: 0.9570, d0.loss_bbox: 0.7072, d0.loss_iou: 1.0285, d1.loss_bbox: 0.6822, d1.loss_iou: 0.9963, d2.loss_bbox: 0.6664, d2.loss_iou: 0.9768, d3.loss_bbox: 0.6559, d3.loss_iou: 0.9643, d4.loss_bbox: 0.6511, d4.loss_iou: 0.9574, loss: 13.0492, grad_norm: 15.3144 2022-10-26 22:42:22,237 - mmdet - INFO - Epoch [25][750/1849] lr: 2.000e-04, eta: 4:32:35, time: 0.358, data_time: 0.009, memory: 4055, loss_contrastive: 3.1550, loss_bbox: 0.6472, loss_iou: 0.9541, d0.loss_bbox: 0.7029, d0.loss_iou: 1.0246, d1.loss_bbox: 0.6787, d1.loss_iou: 0.9945, d2.loss_bbox: 0.6640, d2.loss_iou: 0.9752, d3.loss_bbox: 0.6536, d3.loss_iou: 0.9617, d4.loss_bbox: 0.6477, d4.loss_iou: 0.9545, loss: 13.0138, grad_norm: 14.2155 2022-10-26 22:42:39,708 - mmdet - INFO - Epoch [25][800/1849] lr: 2.000e-04, eta: 4:32:18, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1577, loss_bbox: 0.6473, loss_iou: 0.9538, d0.loss_bbox: 0.7054, d0.loss_iou: 1.0270, d1.loss_bbox: 0.6802, d1.loss_iou: 0.9948, d2.loss_bbox: 0.6653, d2.loss_iou: 0.9733, d3.loss_bbox: 0.6542, d3.loss_iou: 0.9611, d4.loss_bbox: 0.6480, d4.loss_iou: 0.9543, loss: 13.0222, grad_norm: 15.1376 2022-10-26 22:42:57,350 - mmdet - INFO - Epoch [25][850/1849] lr: 2.000e-04, eta: 4:32:01, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1542, loss_bbox: 0.6509, loss_iou: 0.9573, d0.loss_bbox: 0.7080, d0.loss_iou: 1.0293, d1.loss_bbox: 0.6830, d1.loss_iou: 0.9973, d2.loss_bbox: 0.6675, d2.loss_iou: 0.9772, d3.loss_bbox: 0.6566, d3.loss_iou: 0.9641, d4.loss_bbox: 0.6512, d4.loss_iou: 0.9580, loss: 13.0546, grad_norm: 15.1681 2022-10-26 22:43:14,780 - mmdet - INFO - Epoch [25][900/1849] lr: 2.000e-04, eta: 4:31:44, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1596, loss_bbox: 0.6481, loss_iou: 0.9542, d0.loss_bbox: 0.7043, d0.loss_iou: 1.0262, d1.loss_bbox: 0.6803, d1.loss_iou: 0.9949, d2.loss_bbox: 0.6643, d2.loss_iou: 0.9740, d3.loss_bbox: 0.6540, d3.loss_iou: 0.9615, d4.loss_bbox: 0.6485, d4.loss_iou: 0.9551, loss: 13.0247, grad_norm: 11.4583 2022-10-26 22:43:32,639 - mmdet - INFO - Epoch [25][950/1849] lr: 2.000e-04, eta: 4:31:27, time: 0.357, data_time: 0.009, memory: 4055, loss_contrastive: 3.1610, loss_bbox: 0.6527, loss_iou: 0.9575, d0.loss_bbox: 0.7110, d0.loss_iou: 1.0288, d1.loss_bbox: 0.6856, d1.loss_iou: 0.9971, d2.loss_bbox: 0.6697, d2.loss_iou: 0.9761, d3.loss_bbox: 0.6585, d3.loss_iou: 0.9650, d4.loss_bbox: 0.6532, d4.loss_iou: 0.9581, loss: 13.0745, grad_norm: 13.1443 2022-10-26 22:43:50,145 - mmdet - INFO - Epoch [25][1000/1849] lr: 2.000e-04, eta: 4:31:10, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1465, loss_bbox: 0.6516, loss_iou: 0.9569, d0.loss_bbox: 0.7065, d0.loss_iou: 1.0269, d1.loss_bbox: 0.6813, d1.loss_iou: 0.9961, d2.loss_bbox: 0.6670, d2.loss_iou: 0.9754, d3.loss_bbox: 0.6568, d3.loss_iou: 0.9637, d4.loss_bbox: 0.6520, d4.loss_iou: 0.9575, loss: 13.0380, grad_norm: 14.4604 2022-10-26 22:44:07,733 - mmdet - INFO - Epoch [25][1050/1849] lr: 2.000e-04, eta: 4:30:53, time: 0.352, data_time: 0.010, memory: 4055, loss_contrastive: 3.1622, loss_bbox: 0.6503, loss_iou: 0.9573, d0.loss_bbox: 0.7054, d0.loss_iou: 1.0278, d1.loss_bbox: 0.6813, d1.loss_iou: 0.9966, d2.loss_bbox: 0.6669, d2.loss_iou: 0.9752, d3.loss_bbox: 0.6557, d3.loss_iou: 0.9641, d4.loss_bbox: 0.6508, d4.loss_iou: 0.9576, loss: 13.0512, grad_norm: 12.9519 2022-10-26 22:44:25,197 - mmdet - INFO - Epoch [25][1100/1849] lr: 2.000e-04, eta: 4:30:36, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1577, loss_bbox: 0.6495, loss_iou: 0.9582, d0.loss_bbox: 0.7067, d0.loss_iou: 1.0303, d1.loss_bbox: 0.6818, d1.loss_iou: 0.9978, d2.loss_bbox: 0.6663, d2.loss_iou: 0.9777, d3.loss_bbox: 0.6559, d3.loss_iou: 0.9653, d4.loss_bbox: 0.6502, d4.loss_iou: 0.9590, loss: 13.0562, grad_norm: 13.6690 2022-10-26 22:44:42,683 - mmdet - INFO - Epoch [25][1150/1849] lr: 2.000e-04, eta: 4:30:19, time: 0.350, data_time: 0.010, memory: 4055, loss_contrastive: 3.1543, loss_bbox: 0.6537, loss_iou: 0.9606, d0.loss_bbox: 0.7097, d0.loss_iou: 1.0307, d1.loss_bbox: 0.6851, d1.loss_iou: 0.9998, d2.loss_bbox: 0.6691, d2.loss_iou: 0.9797, d3.loss_bbox: 0.6595, d3.loss_iou: 0.9663, d4.loss_bbox: 0.6540, d4.loss_iou: 0.9609, loss: 13.0833, grad_norm: 12.4666 2022-10-26 22:45:00,007 - mmdet - INFO - Epoch [25][1200/1849] lr: 2.000e-04, eta: 4:30:02, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1540, loss_bbox: 0.6513, loss_iou: 0.9565, d0.loss_bbox: 0.7093, d0.loss_iou: 1.0283, d1.loss_bbox: 0.6833, d1.loss_iou: 0.9962, d2.loss_bbox: 0.6683, d2.loss_iou: 0.9750, d3.loss_bbox: 0.6575, d3.loss_iou: 0.9630, d4.loss_bbox: 0.6521, d4.loss_iou: 0.9570, loss: 13.0518, grad_norm: 13.6648 2022-10-26 22:45:17,391 - mmdet - INFO - Epoch [25][1250/1849] lr: 2.000e-04, eta: 4:29:44, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1632, loss_bbox: 0.6479, loss_iou: 0.9552, d0.loss_bbox: 0.7051, d0.loss_iou: 1.0271, d1.loss_bbox: 0.6808, d1.loss_iou: 0.9954, d2.loss_bbox: 0.6649, d2.loss_iou: 0.9753, d3.loss_bbox: 0.6541, d3.loss_iou: 0.9627, d4.loss_bbox: 0.6485, d4.loss_iou: 0.9561, loss: 13.0363, grad_norm: 13.1164 2022-10-26 22:45:34,822 - mmdet - INFO - Epoch [25][1300/1849] lr: 2.000e-04, eta: 4:29:27, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1474, loss_bbox: 0.6521, loss_iou: 0.9553, d0.loss_bbox: 0.7073, d0.loss_iou: 1.0244, d1.loss_bbox: 0.6817, d1.loss_iou: 0.9933, d2.loss_bbox: 0.6674, d2.loss_iou: 0.9743, d3.loss_bbox: 0.6577, d3.loss_iou: 0.9620, d4.loss_bbox: 0.6525, d4.loss_iou: 0.9563, loss: 13.0318, grad_norm: 14.3023 2022-10-26 22:45:52,225 - mmdet - INFO - Epoch [25][1350/1849] lr: 2.000e-04, eta: 4:29:10, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1545, loss_bbox: 0.6483, loss_iou: 0.9544, d0.loss_bbox: 0.7046, d0.loss_iou: 1.0264, d1.loss_bbox: 0.6802, d1.loss_iou: 0.9944, d2.loss_bbox: 0.6640, d2.loss_iou: 0.9741, d3.loss_bbox: 0.6538, d3.loss_iou: 0.9611, d4.loss_bbox: 0.6485, d4.loss_iou: 0.9551, loss: 13.0194, grad_norm: 13.0423 2022-10-26 22:46:09,656 - mmdet - INFO - Epoch [25][1400/1849] lr: 2.000e-04, eta: 4:28:53, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1545, loss_bbox: 0.6502, loss_iou: 0.9534, d0.loss_bbox: 0.7059, d0.loss_iou: 1.0248, d1.loss_bbox: 0.6812, d1.loss_iou: 0.9937, d2.loss_bbox: 0.6662, d2.loss_iou: 0.9725, d3.loss_bbox: 0.6557, d3.loss_iou: 0.9603, d4.loss_bbox: 0.6506, d4.loss_iou: 0.9539, loss: 13.0228, grad_norm: 14.2977 2022-10-26 22:46:27,028 - mmdet - INFO - Epoch [25][1450/1849] lr: 2.000e-04, eta: 4:28:36, time: 0.347, data_time: 0.010, memory: 4055, loss_contrastive: 3.1660, loss_bbox: 0.6466, loss_iou: 0.9497, d0.loss_bbox: 0.7022, d0.loss_iou: 1.0204, d1.loss_bbox: 0.6776, d1.loss_iou: 0.9892, d2.loss_bbox: 0.6627, d2.loss_iou: 0.9682, d3.loss_bbox: 0.6525, d3.loss_iou: 0.9564, d4.loss_bbox: 0.6475, d4.loss_iou: 0.9501, loss: 12.9891, grad_norm: 14.5678 2022-10-26 22:46:44,233 - mmdet - INFO - Epoch [25][1500/1849] lr: 2.000e-04, eta: 4:28:18, time: 0.344, data_time: 0.010, memory: 4055, loss_contrastive: 3.1526, loss_bbox: 0.6475, loss_iou: 0.9551, d0.loss_bbox: 0.7051, d0.loss_iou: 1.0257, d1.loss_bbox: 0.6802, d1.loss_iou: 0.9949, d2.loss_bbox: 0.6652, d2.loss_iou: 0.9744, d3.loss_bbox: 0.6540, d3.loss_iou: 0.9620, d4.loss_bbox: 0.6482, d4.loss_iou: 0.9555, loss: 13.0203, grad_norm: 14.1576 2022-10-26 22:47:01,668 - mmdet - INFO - Epoch [25][1550/1849] lr: 2.000e-04, eta: 4:28:01, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1539, loss_bbox: 0.6491, loss_iou: 0.9534, d0.loss_bbox: 0.7051, d0.loss_iou: 1.0252, d1.loss_bbox: 0.6801, d1.loss_iou: 0.9927, d2.loss_bbox: 0.6652, d2.loss_iou: 0.9720, d3.loss_bbox: 0.6553, d3.loss_iou: 0.9598, d4.loss_bbox: 0.6495, d4.loss_iou: 0.9542, loss: 13.0156, grad_norm: 12.7244 2022-10-26 22:47:19,492 - mmdet - INFO - Epoch [25][1600/1849] lr: 2.000e-04, eta: 4:27:45, time: 0.356, data_time: 0.010, memory: 4055, loss_contrastive: 3.1504, loss_bbox: 0.6509, loss_iou: 0.9547, d0.loss_bbox: 0.7075, d0.loss_iou: 1.0265, d1.loss_bbox: 0.6829, d1.loss_iou: 0.9934, d2.loss_bbox: 0.6677, d2.loss_iou: 0.9743, d3.loss_bbox: 0.6573, d3.loss_iou: 0.9615, d4.loss_bbox: 0.6512, d4.loss_iou: 0.9555, loss: 13.0338, grad_norm: 14.2392 2022-10-26 22:47:37,229 - mmdet - INFO - Epoch [25][1650/1849] lr: 2.000e-04, eta: 4:27:28, time: 0.355, data_time: 0.010, memory: 4055, loss_contrastive: 3.1520, loss_bbox: 0.6497, loss_iou: 0.9539, d0.loss_bbox: 0.7058, d0.loss_iou: 1.0259, d1.loss_bbox: 0.6801, d1.loss_iou: 0.9932, d2.loss_bbox: 0.6656, d2.loss_iou: 0.9736, d3.loss_bbox: 0.6553, d3.loss_iou: 0.9606, d4.loss_bbox: 0.6506, d4.loss_iou: 0.9544, loss: 13.0206, grad_norm: 11.3042 2022-10-26 22:47:54,454 - mmdet - INFO - Epoch [25][1700/1849] lr: 2.000e-04, eta: 4:27:10, time: 0.345, data_time: 0.010, memory: 4055, loss_contrastive: 3.1588, loss_bbox: 0.6511, loss_iou: 0.9536, d0.loss_bbox: 0.7072, d0.loss_iou: 1.0259, d1.loss_bbox: 0.6824, d1.loss_iou: 0.9934, d2.loss_bbox: 0.6677, d2.loss_iou: 0.9739, d3.loss_bbox: 0.6565, d3.loss_iou: 0.9608, d4.loss_bbox: 0.6514, d4.loss_iou: 0.9542, loss: 13.0369, grad_norm: 12.4329 2022-10-26 22:48:11,957 - mmdet - INFO - Epoch [25][1750/1849] lr: 2.000e-04, eta: 4:26:53, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1493, loss_bbox: 0.6509, loss_iou: 0.9554, d0.loss_bbox: 0.7073, d0.loss_iou: 1.0264, d1.loss_bbox: 0.6828, d1.loss_iou: 0.9947, d2.loss_bbox: 0.6678, d2.loss_iou: 0.9749, d3.loss_bbox: 0.6572, d3.loss_iou: 0.9626, d4.loss_bbox: 0.6517, d4.loss_iou: 0.9560, loss: 13.0371, grad_norm: 13.9947 2022-10-26 22:48:29,498 - mmdet - INFO - Epoch [25][1800/1849] lr: 2.000e-04, eta: 4:26:36, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1500, loss_bbox: 0.6494, loss_iou: 0.9526, d0.loss_bbox: 0.7062, d0.loss_iou: 1.0248, d1.loss_bbox: 0.6818, d1.loss_iou: 0.9926, d2.loss_bbox: 0.6668, d2.loss_iou: 0.9723, d3.loss_bbox: 0.6553, d3.loss_iou: 0.9597, d4.loss_bbox: 0.6503, d4.loss_iou: 0.9531, loss: 13.0150, grad_norm: 14.8148 2022-10-26 22:48:46,624 - mmdet - INFO - Saving checkpoint at 25 epochs 2022-10-26 22:49:08,715 - mmdet - INFO - Epoch [26][50/1849] lr: 2.000e-04, eta: 4:25:49, time: 0.415, data_time: 0.069, memory: 4055, loss_contrastive: 3.1565, loss_bbox: 0.6510, loss_iou: 0.9564, d0.loss_bbox: 0.7068, d0.loss_iou: 1.0266, d1.loss_bbox: 0.6820, d1.loss_iou: 0.9958, d2.loss_bbox: 0.6675, d2.loss_iou: 0.9759, d3.loss_bbox: 0.6563, d3.loss_iou: 0.9632, d4.loss_bbox: 0.6514, d4.loss_iou: 0.9573, loss: 13.0467, grad_norm: 12.3422 2022-10-26 22:49:26,232 - mmdet - INFO - Epoch [26][100/1849] lr: 2.000e-04, eta: 4:25:32, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1490, loss_bbox: 0.6493, loss_iou: 0.9553, d0.loss_bbox: 0.7041, d0.loss_iou: 1.0253, d1.loss_bbox: 0.6804, d1.loss_iou: 0.9950, d2.loss_bbox: 0.6643, d2.loss_iou: 0.9740, d3.loss_bbox: 0.6549, d3.loss_iou: 0.9612, d4.loss_bbox: 0.6497, d4.loss_iou: 0.9558, loss: 13.0183, grad_norm: 13.9943 2022-10-26 22:49:43,618 - mmdet - INFO - Epoch [26][150/1849] lr: 2.000e-04, eta: 4:25:14, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1474, loss_bbox: 0.6449, loss_iou: 0.9508, d0.loss_bbox: 0.7026, d0.loss_iou: 1.0232, d1.loss_bbox: 0.6764, d1.loss_iou: 0.9897, d2.loss_bbox: 0.6617, d2.loss_iou: 0.9702, d3.loss_bbox: 0.6511, d3.loss_iou: 0.9580, d4.loss_bbox: 0.6453, d4.loss_iou: 0.9516, loss: 12.9731, grad_norm: 12.4877 2022-10-26 22:50:00,913 - mmdet - INFO - Epoch [26][200/1849] lr: 2.000e-04, eta: 4:24:57, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1637, loss_bbox: 0.6473, loss_iou: 0.9541, d0.loss_bbox: 0.7058, d0.loss_iou: 1.0259, d1.loss_bbox: 0.6809, d1.loss_iou: 0.9954, d2.loss_bbox: 0.6647, d2.loss_iou: 0.9740, d3.loss_bbox: 0.6534, d3.loss_iou: 0.9615, d4.loss_bbox: 0.6479, d4.loss_iou: 0.9550, loss: 13.0297, grad_norm: 14.2234 2022-10-26 22:50:18,322 - mmdet - INFO - Epoch [26][250/1849] lr: 2.000e-04, eta: 4:24:40, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1529, loss_bbox: 0.6473, loss_iou: 0.9572, d0.loss_bbox: 0.7042, d0.loss_iou: 1.0301, d1.loss_bbox: 0.6800, d1.loss_iou: 0.9990, d2.loss_bbox: 0.6645, d2.loss_iou: 0.9772, d3.loss_bbox: 0.6536, d3.loss_iou: 0.9644, d4.loss_bbox: 0.6478, d4.loss_iou: 0.9575, loss: 13.0358, grad_norm: 13.6396 2022-10-26 22:50:35,910 - mmdet - INFO - Epoch [26][300/1849] lr: 2.000e-04, eta: 4:24:23, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1451, loss_bbox: 0.6494, loss_iou: 0.9529, d0.loss_bbox: 0.7050, d0.loss_iou: 1.0241, d1.loss_bbox: 0.6810, d1.loss_iou: 0.9934, d2.loss_bbox: 0.6655, d2.loss_iou: 0.9733, d3.loss_bbox: 0.6554, d3.loss_iou: 0.9606, d4.loss_bbox: 0.6499, d4.loss_iou: 0.9537, loss: 13.0092, grad_norm: 14.7085 2022-10-26 22:50:53,099 - mmdet - INFO - Epoch [26][350/1849] lr: 2.000e-04, eta: 4:24:06, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1567, loss_bbox: 0.6514, loss_iou: 0.9539, d0.loss_bbox: 0.7063, d0.loss_iou: 1.0243, d1.loss_bbox: 0.6825, d1.loss_iou: 0.9925, d2.loss_bbox: 0.6675, d2.loss_iou: 0.9734, d3.loss_bbox: 0.6574, d3.loss_iou: 0.9611, d4.loss_bbox: 0.6521, d4.loss_iou: 0.9546, loss: 13.0338, grad_norm: 12.5765 2022-10-26 22:51:10,519 - mmdet - INFO - Epoch [26][400/1849] lr: 2.000e-04, eta: 4:23:49, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1536, loss_bbox: 0.6482, loss_iou: 0.9561, d0.loss_bbox: 0.7067, d0.loss_iou: 1.0284, d1.loss_bbox: 0.6805, d1.loss_iou: 0.9981, d2.loss_bbox: 0.6648, d2.loss_iou: 0.9772, d3.loss_bbox: 0.6546, d3.loss_iou: 0.9639, d4.loss_bbox: 0.6487, d4.loss_iou: 0.9570, loss: 13.0378, grad_norm: 12.2212 2022-10-26 22:51:27,832 - mmdet - INFO - Epoch [26][450/1849] lr: 2.000e-04, eta: 4:23:31, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1578, loss_bbox: 0.6485, loss_iou: 0.9524, d0.loss_bbox: 0.7039, d0.loss_iou: 1.0243, d1.loss_bbox: 0.6802, d1.loss_iou: 0.9925, d2.loss_bbox: 0.6649, d2.loss_iou: 0.9715, d3.loss_bbox: 0.6544, d3.loss_iou: 0.9597, d4.loss_bbox: 0.6490, d4.loss_iou: 0.9532, loss: 13.0122, grad_norm: 12.7031 2022-10-26 22:51:45,185 - mmdet - INFO - Epoch [26][500/1849] lr: 2.000e-04, eta: 4:23:14, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1582, loss_bbox: 0.6505, loss_iou: 0.9537, d0.loss_bbox: 0.7051, d0.loss_iou: 1.0247, d1.loss_bbox: 0.6804, d1.loss_iou: 0.9918, d2.loss_bbox: 0.6661, d2.loss_iou: 0.9721, d3.loss_bbox: 0.6564, d3.loss_iou: 0.9600, d4.loss_bbox: 0.6511, d4.loss_iou: 0.9543, loss: 13.0245, grad_norm: 13.8217 2022-10-26 22:52:02,623 - mmdet - INFO - Epoch [26][550/1849] lr: 2.000e-04, eta: 4:22:57, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1497, loss_bbox: 0.6477, loss_iou: 0.9554, d0.loss_bbox: 0.7058, d0.loss_iou: 1.0287, d1.loss_bbox: 0.6800, d1.loss_iou: 0.9961, d2.loss_bbox: 0.6645, d2.loss_iou: 0.9753, d3.loss_bbox: 0.6536, d3.loss_iou: 0.9625, d4.loss_bbox: 0.6483, d4.loss_iou: 0.9563, loss: 13.0238, grad_norm: 12.8068 2022-10-26 22:52:19,892 - mmdet - INFO - Epoch [26][600/1849] lr: 2.000e-04, eta: 4:22:40, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1517, loss_bbox: 0.6531, loss_iou: 0.9563, d0.loss_bbox: 0.7088, d0.loss_iou: 1.0281, d1.loss_bbox: 0.6839, d1.loss_iou: 0.9969, d2.loss_bbox: 0.6691, d2.loss_iou: 0.9759, d3.loss_bbox: 0.6585, d3.loss_iou: 0.9637, d4.loss_bbox: 0.6533, d4.loss_iou: 0.9571, loss: 13.0565, grad_norm: 13.2137 2022-10-26 22:52:37,397 - mmdet - INFO - Epoch [26][650/1849] lr: 2.000e-04, eta: 4:22:23, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1524, loss_bbox: 0.6511, loss_iou: 0.9529, d0.loss_bbox: 0.7076, d0.loss_iou: 1.0248, d1.loss_bbox: 0.6834, d1.loss_iou: 0.9939, d2.loss_bbox: 0.6681, d2.loss_iou: 0.9731, d3.loss_bbox: 0.6572, d3.loss_iou: 0.9600, d4.loss_bbox: 0.6515, d4.loss_iou: 0.9536, loss: 13.0296, grad_norm: 13.8735 2022-10-26 22:52:54,792 - mmdet - INFO - Epoch [26][700/1849] lr: 2.000e-04, eta: 4:22:06, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1561, loss_bbox: 0.6470, loss_iou: 0.9559, d0.loss_bbox: 0.7033, d0.loss_iou: 1.0271, d1.loss_bbox: 0.6786, d1.loss_iou: 0.9947, d2.loss_bbox: 0.6634, d2.loss_iou: 0.9754, d3.loss_bbox: 0.6527, d3.loss_iou: 0.9627, d4.loss_bbox: 0.6472, d4.loss_iou: 0.9566, loss: 13.0206, grad_norm: 14.2282 2022-10-26 22:53:12,081 - mmdet - INFO - Epoch [26][750/1849] lr: 2.000e-04, eta: 4:21:48, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1454, loss_bbox: 0.6480, loss_iou: 0.9540, d0.loss_bbox: 0.7014, d0.loss_iou: 1.0225, d1.loss_bbox: 0.6781, d1.loss_iou: 0.9921, d2.loss_bbox: 0.6635, d2.loss_iou: 0.9724, d3.loss_bbox: 0.6539, d3.loss_iou: 0.9598, d4.loss_bbox: 0.6484, d4.loss_iou: 0.9548, loss: 12.9944, grad_norm: 13.3195 2022-10-26 22:53:29,477 - mmdet - INFO - Epoch [26][800/1849] lr: 2.000e-04, eta: 4:21:31, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1529, loss_bbox: 0.6504, loss_iou: 0.9564, d0.loss_bbox: 0.7057, d0.loss_iou: 1.0267, d1.loss_bbox: 0.6819, d1.loss_iou: 0.9954, d2.loss_bbox: 0.6661, d2.loss_iou: 0.9747, d3.loss_bbox: 0.6558, d3.loss_iou: 0.9627, d4.loss_bbox: 0.6507, d4.loss_iou: 0.9570, loss: 13.0364, grad_norm: 12.9684 2022-10-26 22:53:46,819 - mmdet - INFO - Epoch [26][850/1849] lr: 2.000e-04, eta: 4:21:14, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1493, loss_bbox: 0.6440, loss_iou: 0.9489, d0.loss_bbox: 0.7006, d0.loss_iou: 1.0209, d1.loss_bbox: 0.6761, d1.loss_iou: 0.9892, d2.loss_bbox: 0.6607, d2.loss_iou: 0.9685, d3.loss_bbox: 0.6500, d3.loss_iou: 0.9560, d4.loss_bbox: 0.6445, d4.loss_iou: 0.9496, loss: 12.9582, grad_norm: 14.2673 2022-10-26 22:54:03,997 - mmdet - INFO - Epoch [26][900/1849] lr: 2.000e-04, eta: 4:20:57, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1528, loss_bbox: 0.6467, loss_iou: 0.9501, d0.loss_bbox: 0.7033, d0.loss_iou: 1.0231, d1.loss_bbox: 0.6788, d1.loss_iou: 0.9901, d2.loss_bbox: 0.6634, d2.loss_iou: 0.9695, d3.loss_bbox: 0.6531, d3.loss_iou: 0.9572, d4.loss_bbox: 0.6472, d4.loss_iou: 0.9508, loss: 12.9861, grad_norm: 12.1686 2022-10-26 22:54:21,426 - mmdet - INFO - Epoch [26][950/1849] lr: 2.000e-04, eta: 4:20:40, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1592, loss_bbox: 0.6504, loss_iou: 0.9551, d0.loss_bbox: 0.7052, d0.loss_iou: 1.0262, d1.loss_bbox: 0.6815, d1.loss_iou: 0.9945, d2.loss_bbox: 0.6664, d2.loss_iou: 0.9743, d3.loss_bbox: 0.6561, d3.loss_iou: 0.9618, d4.loss_bbox: 0.6510, d4.loss_iou: 0.9558, loss: 13.0377, grad_norm: 13.0279 2022-10-26 22:54:38,738 - mmdet - INFO - Epoch [26][1000/1849] lr: 2.000e-04, eta: 4:20:22, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1574, loss_bbox: 0.6460, loss_iou: 0.9498, d0.loss_bbox: 0.7018, d0.loss_iou: 1.0243, d1.loss_bbox: 0.6777, d1.loss_iou: 0.9922, d2.loss_bbox: 0.6626, d2.loss_iou: 0.9706, d3.loss_bbox: 0.6517, d3.loss_iou: 0.9571, d4.loss_bbox: 0.6464, d4.loss_iou: 0.9506, loss: 12.9882, grad_norm: 13.8670 2022-10-26 22:54:56,139 - mmdet - INFO - Epoch [26][1050/1849] lr: 2.000e-04, eta: 4:20:05, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1538, loss_bbox: 0.6507, loss_iou: 0.9544, d0.loss_bbox: 0.7073, d0.loss_iou: 1.0253, d1.loss_bbox: 0.6832, d1.loss_iou: 0.9945, d2.loss_bbox: 0.6680, d2.loss_iou: 0.9741, d3.loss_bbox: 0.6570, d3.loss_iou: 0.9614, d4.loss_bbox: 0.6511, d4.loss_iou: 0.9552, loss: 13.0359, grad_norm: 12.2201 2022-10-26 22:55:13,662 - mmdet - INFO - Epoch [26][1100/1849] lr: 2.000e-04, eta: 4:19:48, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1581, loss_bbox: 0.6514, loss_iou: 0.9566, d0.loss_bbox: 0.7060, d0.loss_iou: 1.0277, d1.loss_bbox: 0.6828, d1.loss_iou: 0.9975, d2.loss_bbox: 0.6680, d2.loss_iou: 0.9767, d3.loss_bbox: 0.6571, d3.loss_iou: 0.9638, d4.loss_bbox: 0.6516, d4.loss_iou: 0.9571, loss: 13.0546, grad_norm: 13.5932 2022-10-26 22:55:31,164 - mmdet - INFO - Epoch [26][1150/1849] lr: 2.000e-04, eta: 4:19:31, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1483, loss_bbox: 0.6490, loss_iou: 0.9553, d0.loss_bbox: 0.7052, d0.loss_iou: 1.0263, d1.loss_bbox: 0.6808, d1.loss_iou: 0.9951, d2.loss_bbox: 0.6663, d2.loss_iou: 0.9746, d3.loss_bbox: 0.6554, d3.loss_iou: 0.9624, d4.loss_bbox: 0.6496, d4.loss_iou: 0.9558, loss: 13.0242, grad_norm: 14.1346 2022-10-26 22:55:48,741 - mmdet - INFO - Epoch [26][1200/1849] lr: 2.000e-04, eta: 4:19:14, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1574, loss_bbox: 0.6486, loss_iou: 0.9562, d0.loss_bbox: 0.7040, d0.loss_iou: 1.0268, d1.loss_bbox: 0.6805, d1.loss_iou: 0.9963, d2.loss_bbox: 0.6656, d2.loss_iou: 0.9760, d3.loss_bbox: 0.6548, d3.loss_iou: 0.9626, d4.loss_bbox: 0.6489, d4.loss_iou: 0.9572, loss: 13.0348, grad_norm: 12.6629 2022-10-26 22:56:06,357 - mmdet - INFO - Epoch [26][1250/1849] lr: 2.000e-04, eta: 4:18:57, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1483, loss_bbox: 0.6466, loss_iou: 0.9516, d0.loss_bbox: 0.7014, d0.loss_iou: 1.0213, d1.loss_bbox: 0.6766, d1.loss_iou: 0.9899, d2.loss_bbox: 0.6625, d2.loss_iou: 0.9707, d3.loss_bbox: 0.6522, d3.loss_iou: 0.9582, d4.loss_bbox: 0.6469, d4.loss_iou: 0.9523, loss: 12.9783, grad_norm: 13.7341 2022-10-26 22:56:23,780 - mmdet - INFO - Epoch [26][1300/1849] lr: 2.000e-04, eta: 4:18:40, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1488, loss_bbox: 0.6483, loss_iou: 0.9545, d0.loss_bbox: 0.7049, d0.loss_iou: 1.0275, d1.loss_bbox: 0.6796, d1.loss_iou: 0.9950, d2.loss_bbox: 0.6646, d2.loss_iou: 0.9748, d3.loss_bbox: 0.6542, d3.loss_iou: 0.9619, d4.loss_bbox: 0.6488, d4.loss_iou: 0.9554, loss: 13.0182, grad_norm: 13.6912 2022-10-26 22:56:41,088 - mmdet - INFO - Epoch [26][1350/1849] lr: 2.000e-04, eta: 4:18:23, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1532, loss_bbox: 0.6463, loss_iou: 0.9569, d0.loss_bbox: 0.7003, d0.loss_iou: 1.0281, d1.loss_bbox: 0.6768, d1.loss_iou: 0.9965, d2.loss_bbox: 0.6621, d2.loss_iou: 0.9773, d3.loss_bbox: 0.6517, d3.loss_iou: 0.9637, d4.loss_bbox: 0.6469, d4.loss_iou: 0.9575, loss: 13.0172, grad_norm: 13.6118 2022-10-26 22:56:58,416 - mmdet - INFO - Epoch [26][1400/1849] lr: 2.000e-04, eta: 4:18:06, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1497, loss_bbox: 0.6451, loss_iou: 0.9519, d0.loss_bbox: 0.7031, d0.loss_iou: 1.0241, d1.loss_bbox: 0.6778, d1.loss_iou: 0.9924, d2.loss_bbox: 0.6621, d2.loss_iou: 0.9714, d3.loss_bbox: 0.6519, d3.loss_iou: 0.9584, d4.loss_bbox: 0.6456, d4.loss_iou: 0.9524, loss: 12.9860, grad_norm: 14.8052 2022-10-26 22:57:16,351 - mmdet - INFO - Epoch [26][1450/1849] lr: 2.000e-04, eta: 4:17:49, time: 0.359, data_time: 0.009, memory: 4055, loss_contrastive: 3.1509, loss_bbox: 0.6474, loss_iou: 0.9525, d0.loss_bbox: 0.7025, d0.loss_iou: 1.0248, d1.loss_bbox: 0.6786, d1.loss_iou: 0.9925, d2.loss_bbox: 0.6634, d2.loss_iou: 0.9719, d3.loss_bbox: 0.6537, d3.loss_iou: 0.9599, d4.loss_bbox: 0.6478, d4.loss_iou: 0.9534, loss: 12.9992, grad_norm: 12.9013 2022-10-26 22:57:34,248 - mmdet - INFO - Epoch [26][1500/1849] lr: 2.000e-04, eta: 4:17:32, time: 0.358, data_time: 0.009, memory: 4055, loss_contrastive: 3.1479, loss_bbox: 0.6506, loss_iou: 0.9528, d0.loss_bbox: 0.7056, d0.loss_iou: 1.0246, d1.loss_bbox: 0.6820, d1.loss_iou: 0.9944, d2.loss_bbox: 0.6670, d2.loss_iou: 0.9738, d3.loss_bbox: 0.6568, d3.loss_iou: 0.9598, d4.loss_bbox: 0.6515, d4.loss_iou: 0.9532, loss: 13.0201, grad_norm: 12.8756 2022-10-26 22:57:51,440 - mmdet - INFO - Epoch [26][1550/1849] lr: 2.000e-04, eta: 4:17:15, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1550, loss_bbox: 0.6496, loss_iou: 0.9524, d0.loss_bbox: 0.7050, d0.loss_iou: 1.0244, d1.loss_bbox: 0.6810, d1.loss_iou: 0.9930, d2.loss_bbox: 0.6657, d2.loss_iou: 0.9731, d3.loss_bbox: 0.6556, d3.loss_iou: 0.9596, d4.loss_bbox: 0.6499, d4.loss_iou: 0.9532, loss: 13.0174, grad_norm: 14.1399 2022-10-26 22:58:08,683 - mmdet - INFO - Epoch [26][1600/1849] lr: 2.000e-04, eta: 4:16:58, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1521, loss_bbox: 0.6516, loss_iou: 0.9555, d0.loss_bbox: 0.7063, d0.loss_iou: 1.0279, d1.loss_bbox: 0.6824, d1.loss_iou: 0.9961, d2.loss_bbox: 0.6677, d2.loss_iou: 0.9761, d3.loss_bbox: 0.6574, d3.loss_iou: 0.9626, d4.loss_bbox: 0.6521, d4.loss_iou: 0.9564, loss: 13.0441, grad_norm: 14.6830 2022-10-26 22:58:26,107 - mmdet - INFO - Epoch [26][1650/1849] lr: 2.000e-04, eta: 4:16:40, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1452, loss_bbox: 0.6503, loss_iou: 0.9539, d0.loss_bbox: 0.7075, d0.loss_iou: 1.0263, d1.loss_bbox: 0.6826, d1.loss_iou: 0.9945, d2.loss_bbox: 0.6664, d2.loss_iou: 0.9734, d3.loss_bbox: 0.6556, d3.loss_iou: 0.9611, d4.loss_bbox: 0.6508, d4.loss_iou: 0.9547, loss: 13.0223, grad_norm: 13.4217 2022-10-26 22:58:43,439 - mmdet - INFO - Epoch [26][1700/1849] lr: 2.000e-04, eta: 4:16:23, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1517, loss_bbox: 0.6494, loss_iou: 0.9548, d0.loss_bbox: 0.7038, d0.loss_iou: 1.0262, d1.loss_bbox: 0.6805, d1.loss_iou: 0.9945, d2.loss_bbox: 0.6649, d2.loss_iou: 0.9739, d3.loss_bbox: 0.6549, d3.loss_iou: 0.9616, d4.loss_bbox: 0.6498, d4.loss_iou: 0.9554, loss: 13.0214, grad_norm: 13.9894 2022-10-26 22:59:00,743 - mmdet - INFO - Epoch [26][1750/1849] lr: 2.000e-04, eta: 4:16:06, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1544, loss_bbox: 0.6485, loss_iou: 0.9554, d0.loss_bbox: 0.7043, d0.loss_iou: 1.0264, d1.loss_bbox: 0.6804, d1.loss_iou: 0.9938, d2.loss_bbox: 0.6649, d2.loss_iou: 0.9739, d3.loss_bbox: 0.6550, d3.loss_iou: 0.9620, d4.loss_bbox: 0.6494, d4.loss_iou: 0.9562, loss: 13.0246, grad_norm: 15.2038 2022-10-26 22:59:18,056 - mmdet - INFO - Epoch [26][1800/1849] lr: 2.000e-04, eta: 4:15:49, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1533, loss_bbox: 0.6471, loss_iou: 0.9506, d0.loss_bbox: 0.7043, d0.loss_iou: 1.0223, d1.loss_bbox: 0.6803, d1.loss_iou: 0.9916, d2.loss_bbox: 0.6648, d2.loss_iou: 0.9714, d3.loss_bbox: 0.6537, d3.loss_iou: 0.9577, d4.loss_bbox: 0.6476, d4.loss_iou: 0.9513, loss: 12.9962, grad_norm: 14.0604 2022-10-26 22:59:35,278 - mmdet - INFO - Saving checkpoint at 26 epochs 2022-10-26 22:59:57,055 - mmdet - INFO - Epoch [27][50/1849] lr: 2.000e-04, eta: 4:15:02, time: 0.412, data_time: 0.070, memory: 4055, loss_contrastive: 3.1539, loss_bbox: 0.6455, loss_iou: 0.9526, d0.loss_bbox: 0.7022, d0.loss_iou: 1.0234, d1.loss_bbox: 0.6772, d1.loss_iou: 0.9932, d2.loss_bbox: 0.6625, d2.loss_iou: 0.9723, d3.loss_bbox: 0.6520, d3.loss_iou: 0.9596, d4.loss_bbox: 0.6461, d4.loss_iou: 0.9531, loss: 12.9938, grad_norm: 13.5669 2022-10-26 23:00:14,456 - mmdet - INFO - Epoch [27][100/1849] lr: 2.000e-04, eta: 4:14:45, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1512, loss_bbox: 0.6476, loss_iou: 0.9527, d0.loss_bbox: 0.7025, d0.loss_iou: 1.0229, d1.loss_bbox: 0.6778, d1.loss_iou: 0.9911, d2.loss_bbox: 0.6635, d2.loss_iou: 0.9712, d3.loss_bbox: 0.6537, d3.loss_iou: 0.9595, d4.loss_bbox: 0.6485, d4.loss_iou: 0.9534, loss: 12.9956, grad_norm: 11.9061 2022-10-26 23:00:32,065 - mmdet - INFO - Epoch [27][150/1849] lr: 2.000e-04, eta: 4:14:28, time: 0.352, data_time: 0.010, memory: 4055, loss_contrastive: 3.1441, loss_bbox: 0.6449, loss_iou: 0.9505, d0.loss_bbox: 0.6995, d0.loss_iou: 1.0213, d1.loss_bbox: 0.6762, d1.loss_iou: 0.9895, d2.loss_bbox: 0.6610, d2.loss_iou: 0.9692, d3.loss_bbox: 0.6505, d3.loss_iou: 0.9570, d4.loss_bbox: 0.6456, d4.loss_iou: 0.9513, loss: 12.9605, grad_norm: 15.4063 2022-10-26 23:00:49,523 - mmdet - INFO - Epoch [27][200/1849] lr: 2.000e-04, eta: 4:14:11, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1484, loss_bbox: 0.6479, loss_iou: 0.9492, d0.loss_bbox: 0.7029, d0.loss_iou: 1.0208, d1.loss_bbox: 0.6797, d1.loss_iou: 0.9899, d2.loss_bbox: 0.6646, d2.loss_iou: 0.9689, d3.loss_bbox: 0.6540, d3.loss_iou: 0.9562, d4.loss_bbox: 0.6485, d4.loss_iou: 0.9497, loss: 12.9807, grad_norm: 13.5441 2022-10-26 23:01:06,953 - mmdet - INFO - Epoch [27][250/1849] lr: 2.000e-04, eta: 4:13:54, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1489, loss_bbox: 0.6467, loss_iou: 0.9509, d0.loss_bbox: 0.7021, d0.loss_iou: 1.0221, d1.loss_bbox: 0.6784, d1.loss_iou: 0.9914, d2.loss_bbox: 0.6623, d2.loss_iou: 0.9707, d3.loss_bbox: 0.6527, d3.loss_iou: 0.9575, d4.loss_bbox: 0.6473, d4.loss_iou: 0.9517, loss: 12.9826, grad_norm: 12.5330 2022-10-26 23:01:24,199 - mmdet - INFO - Epoch [27][300/1849] lr: 2.000e-04, eta: 4:13:36, time: 0.345, data_time: 0.010, memory: 4055, loss_contrastive: 3.1547, loss_bbox: 0.6485, loss_iou: 0.9545, d0.loss_bbox: 0.7040, d0.loss_iou: 1.0276, d1.loss_bbox: 0.6808, d1.loss_iou: 0.9954, d2.loss_bbox: 0.6651, d2.loss_iou: 0.9749, d3.loss_bbox: 0.6545, d3.loss_iou: 0.9615, d4.loss_bbox: 0.6490, d4.loss_iou: 0.9554, loss: 13.0259, grad_norm: 12.1560 2022-10-26 23:01:41,653 - mmdet - INFO - Epoch [27][350/1849] lr: 2.000e-04, eta: 4:13:19, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1567, loss_bbox: 0.6472, loss_iou: 0.9544, d0.loss_bbox: 0.7044, d0.loss_iou: 1.0267, d1.loss_bbox: 0.6796, d1.loss_iou: 0.9950, d2.loss_bbox: 0.6644, d2.loss_iou: 0.9745, d3.loss_bbox: 0.6534, d3.loss_iou: 0.9613, d4.loss_bbox: 0.6477, d4.loss_iou: 0.9547, loss: 13.0198, grad_norm: 15.8991 2022-10-26 23:01:59,008 - mmdet - INFO - Epoch [27][400/1849] lr: 2.000e-04, eta: 4:13:02, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1465, loss_bbox: 0.6504, loss_iou: 0.9531, d0.loss_bbox: 0.7085, d0.loss_iou: 1.0257, d1.loss_bbox: 0.6829, d1.loss_iou: 0.9932, d2.loss_bbox: 0.6679, d2.loss_iou: 0.9732, d3.loss_bbox: 0.6573, d3.loss_iou: 0.9604, d4.loss_bbox: 0.6511, d4.loss_iou: 0.9539, loss: 13.0242, grad_norm: 12.8712 2022-10-26 23:02:16,659 - mmdet - INFO - Epoch [27][450/1849] lr: 2.000e-04, eta: 4:12:45, time: 0.353, data_time: 0.010, memory: 4055, loss_contrastive: 3.1471, loss_bbox: 0.6481, loss_iou: 0.9562, d0.loss_bbox: 0.7041, d0.loss_iou: 1.0288, d1.loss_bbox: 0.6797, d1.loss_iou: 0.9973, d2.loss_bbox: 0.6643, d2.loss_iou: 0.9767, d3.loss_bbox: 0.6536, d3.loss_iou: 0.9638, d4.loss_bbox: 0.6483, d4.loss_iou: 0.9569, loss: 13.0252, grad_norm: 13.5985 2022-10-26 23:02:33,863 - mmdet - INFO - Epoch [27][500/1849] lr: 2.000e-04, eta: 4:12:28, time: 0.344, data_time: 0.010, memory: 4055, loss_contrastive: 3.1492, loss_bbox: 0.6464, loss_iou: 0.9527, d0.loss_bbox: 0.7027, d0.loss_iou: 1.0250, d1.loss_bbox: 0.6777, d1.loss_iou: 0.9931, d2.loss_bbox: 0.6622, d2.loss_iou: 0.9728, d3.loss_bbox: 0.6522, d3.loss_iou: 0.9598, d4.loss_bbox: 0.6467, d4.loss_iou: 0.9537, loss: 12.9942, grad_norm: 11.9792 2022-10-26 23:02:51,129 - mmdet - INFO - Epoch [27][550/1849] lr: 2.000e-04, eta: 4:12:11, time: 0.345, data_time: 0.010, memory: 4055, loss_contrastive: 3.1566, loss_bbox: 0.6501, loss_iou: 0.9523, d0.loss_bbox: 0.7063, d0.loss_iou: 1.0244, d1.loss_bbox: 0.6816, d1.loss_iou: 0.9930, d2.loss_bbox: 0.6664, d2.loss_iou: 0.9715, d3.loss_bbox: 0.6560, d3.loss_iou: 0.9596, d4.loss_bbox: 0.6506, d4.loss_iou: 0.9528, loss: 13.0212, grad_norm: 12.1656 2022-10-26 23:03:08,332 - mmdet - INFO - Epoch [27][600/1849] lr: 2.000e-04, eta: 4:11:53, time: 0.344, data_time: 0.010, memory: 4055, loss_contrastive: 3.1529, loss_bbox: 0.6497, loss_iou: 0.9530, d0.loss_bbox: 0.7041, d0.loss_iou: 1.0244, d1.loss_bbox: 0.6805, d1.loss_iou: 0.9930, d2.loss_bbox: 0.6657, d2.loss_iou: 0.9730, d3.loss_bbox: 0.6552, d3.loss_iou: 0.9602, d4.loss_bbox: 0.6503, d4.loss_iou: 0.9538, loss: 13.0157, grad_norm: 16.6887 2022-10-26 23:03:25,964 - mmdet - INFO - Epoch [27][650/1849] lr: 2.000e-04, eta: 4:11:36, time: 0.353, data_time: 0.010, memory: 4055, loss_contrastive: 3.1589, loss_bbox: 0.6449, loss_iou: 0.9504, d0.loss_bbox: 0.7021, d0.loss_iou: 1.0239, d1.loss_bbox: 0.6773, d1.loss_iou: 0.9913, d2.loss_bbox: 0.6614, d2.loss_iou: 0.9712, d3.loss_bbox: 0.6514, d3.loss_iou: 0.9576, d4.loss_bbox: 0.6454, d4.loss_iou: 0.9509, loss: 12.9867, grad_norm: 13.4839 2022-10-26 23:03:43,548 - mmdet - INFO - Epoch [27][700/1849] lr: 2.000e-04, eta: 4:11:19, time: 0.352, data_time: 0.010, memory: 4055, loss_contrastive: 3.1597, loss_bbox: 0.6507, loss_iou: 0.9535, d0.loss_bbox: 0.7055, d0.loss_iou: 1.0245, d1.loss_bbox: 0.6825, d1.loss_iou: 0.9937, d2.loss_bbox: 0.6674, d2.loss_iou: 0.9728, d3.loss_bbox: 0.6569, d3.loss_iou: 0.9608, d4.loss_bbox: 0.6513, d4.loss_iou: 0.9544, loss: 13.0337, grad_norm: 14.9663 2022-10-26 23:04:01,119 - mmdet - INFO - Epoch [27][750/1849] lr: 2.000e-04, eta: 4:11:02, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1516, loss_bbox: 0.6486, loss_iou: 0.9517, d0.loss_bbox: 0.7053, d0.loss_iou: 1.0256, d1.loss_bbox: 0.6812, d1.loss_iou: 0.9931, d2.loss_bbox: 0.6652, d2.loss_iou: 0.9724, d3.loss_bbox: 0.6545, d3.loss_iou: 0.9595, d4.loss_bbox: 0.6492, d4.loss_iou: 0.9522, loss: 13.0101, grad_norm: 15.3750 2022-10-26 23:04:18,623 - mmdet - INFO - Epoch [27][800/1849] lr: 2.000e-04, eta: 4:10:45, time: 0.350, data_time: 0.010, memory: 4055, loss_contrastive: 3.1543, loss_bbox: 0.6491, loss_iou: 0.9514, d0.loss_bbox: 0.7061, d0.loss_iou: 1.0224, d1.loss_bbox: 0.6818, d1.loss_iou: 0.9909, d2.loss_bbox: 0.6664, d2.loss_iou: 0.9707, d3.loss_bbox: 0.6557, d3.loss_iou: 0.9587, d4.loss_bbox: 0.6500, d4.loss_iou: 0.9518, loss: 13.0093, grad_norm: 13.0585 2022-10-26 23:04:36,106 - mmdet - INFO - Epoch [27][850/1849] lr: 2.000e-04, eta: 4:10:28, time: 0.350, data_time: 0.010, memory: 4055, loss_contrastive: 3.1478, loss_bbox: 0.6456, loss_iou: 0.9530, d0.loss_bbox: 0.7031, d0.loss_iou: 1.0266, d1.loss_bbox: 0.6785, d1.loss_iou: 0.9935, d2.loss_bbox: 0.6626, d2.loss_iou: 0.9730, d3.loss_bbox: 0.6520, d3.loss_iou: 0.9604, d4.loss_bbox: 0.6462, d4.loss_iou: 0.9538, loss: 12.9960, grad_norm: 15.2175 2022-10-26 23:04:53,756 - mmdet - INFO - Epoch [27][900/1849] lr: 2.000e-04, eta: 4:10:11, time: 0.353, data_time: 0.010, memory: 4055, loss_contrastive: 3.1467, loss_bbox: 0.6452, loss_iou: 0.9474, d0.loss_bbox: 0.7026, d0.loss_iou: 1.0203, d1.loss_bbox: 0.6765, d1.loss_iou: 0.9883, d2.loss_bbox: 0.6616, d2.loss_iou: 0.9678, d3.loss_bbox: 0.6516, d3.loss_iou: 0.9546, d4.loss_bbox: 0.6456, d4.loss_iou: 0.9485, loss: 12.9567, grad_norm: 12.9759 2022-10-26 23:05:11,076 - mmdet - INFO - Epoch [27][950/1849] lr: 2.000e-04, eta: 4:09:54, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1526, loss_bbox: 0.6488, loss_iou: 0.9574, d0.loss_bbox: 0.7046, d0.loss_iou: 1.0287, d1.loss_bbox: 0.6804, d1.loss_iou: 0.9974, d2.loss_bbox: 0.6649, d2.loss_iou: 0.9768, d3.loss_bbox: 0.6542, d3.loss_iou: 0.9645, d4.loss_bbox: 0.6494, d4.loss_iou: 0.9578, loss: 13.0376, grad_norm: 15.6738 2022-10-26 23:05:28,507 - mmdet - INFO - Epoch [27][1000/1849] lr: 2.000e-04, eta: 4:09:37, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1482, loss_bbox: 0.6466, loss_iou: 0.9533, d0.loss_bbox: 0.7021, d0.loss_iou: 1.0247, d1.loss_bbox: 0.6772, d1.loss_iou: 0.9932, d2.loss_bbox: 0.6621, d2.loss_iou: 0.9721, d3.loss_bbox: 0.6523, d3.loss_iou: 0.9605, d4.loss_bbox: 0.6469, d4.loss_iou: 0.9542, loss: 12.9935, grad_norm: 13.9588 2022-10-26 23:05:46,119 - mmdet - INFO - Epoch [27][1050/1849] lr: 2.000e-04, eta: 4:09:20, time: 0.352, data_time: 0.010, memory: 4055, loss_contrastive: 3.1445, loss_bbox: 0.6469, loss_iou: 0.9536, d0.loss_bbox: 0.7024, d0.loss_iou: 1.0238, d1.loss_bbox: 0.6781, d1.loss_iou: 0.9931, d2.loss_bbox: 0.6629, d2.loss_iou: 0.9742, d3.loss_bbox: 0.6525, d3.loss_iou: 0.9606, d4.loss_bbox: 0.6476, d4.loss_iou: 0.9541, loss: 12.9945, grad_norm: 14.6896 2022-10-26 23:06:03,506 - mmdet - INFO - Epoch [27][1100/1849] lr: 2.000e-04, eta: 4:09:03, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1504, loss_bbox: 0.6460, loss_iou: 0.9505, d0.loss_bbox: 0.7027, d0.loss_iou: 1.0223, d1.loss_bbox: 0.6779, d1.loss_iou: 0.9903, d2.loss_bbox: 0.6620, d2.loss_iou: 0.9708, d3.loss_bbox: 0.6518, d3.loss_iou: 0.9578, d4.loss_bbox: 0.6465, d4.loss_iou: 0.9512, loss: 12.9803, grad_norm: 14.0042 2022-10-26 23:06:20,969 - mmdet - INFO - Epoch [27][1150/1849] lr: 2.000e-04, eta: 4:08:46, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1519, loss_bbox: 0.6468, loss_iou: 0.9514, d0.loss_bbox: 0.7038, d0.loss_iou: 1.0248, d1.loss_bbox: 0.6783, d1.loss_iou: 0.9929, d2.loss_bbox: 0.6628, d2.loss_iou: 0.9721, d3.loss_bbox: 0.6528, d3.loss_iou: 0.9589, d4.loss_bbox: 0.6475, d4.loss_iou: 0.9523, loss: 12.9963, grad_norm: 13.7968 2022-10-26 23:06:38,528 - mmdet - INFO - Epoch [27][1200/1849] lr: 2.000e-04, eta: 4:08:29, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1509, loss_bbox: 0.6455, loss_iou: 0.9546, d0.loss_bbox: 0.7025, d0.loss_iou: 1.0261, d1.loss_bbox: 0.6780, d1.loss_iou: 0.9950, d2.loss_bbox: 0.6632, d2.loss_iou: 0.9751, d3.loss_bbox: 0.6518, d3.loss_iou: 0.9618, d4.loss_bbox: 0.6463, d4.loss_iou: 0.9556, loss: 13.0065, grad_norm: 13.0584 2022-10-26 23:06:55,814 - mmdet - INFO - Epoch [27][1250/1849] lr: 2.000e-04, eta: 4:08:12, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1497, loss_bbox: 0.6474, loss_iou: 0.9493, d0.loss_bbox: 0.7030, d0.loss_iou: 1.0219, d1.loss_bbox: 0.6785, d1.loss_iou: 0.9895, d2.loss_bbox: 0.6637, d2.loss_iou: 0.9697, d3.loss_bbox: 0.6538, d3.loss_iou: 0.9565, d4.loss_bbox: 0.6478, d4.loss_iou: 0.9500, loss: 12.9807, grad_norm: 14.7667 2022-10-26 23:07:13,100 - mmdet - INFO - Epoch [27][1300/1849] lr: 2.000e-04, eta: 4:07:54, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1439, loss_bbox: 0.6472, loss_iou: 0.9508, d0.loss_bbox: 0.7032, d0.loss_iou: 1.0207, d1.loss_bbox: 0.6794, d1.loss_iou: 0.9895, d2.loss_bbox: 0.6638, d2.loss_iou: 0.9702, d3.loss_bbox: 0.6530, d3.loss_iou: 0.9578, d4.loss_bbox: 0.6475, d4.loss_iou: 0.9515, loss: 12.9786, grad_norm: 13.7815 2022-10-26 23:07:30,527 - mmdet - INFO - Epoch [27][1350/1849] lr: 2.000e-04, eta: 4:07:37, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1538, loss_bbox: 0.6459, loss_iou: 0.9498, d0.loss_bbox: 0.7010, d0.loss_iou: 1.0210, d1.loss_bbox: 0.6765, d1.loss_iou: 0.9892, d2.loss_bbox: 0.6615, d2.loss_iou: 0.9692, d3.loss_bbox: 0.6516, d3.loss_iou: 0.9567, d4.loss_bbox: 0.6466, d4.loss_iou: 0.9504, loss: 12.9732, grad_norm: 12.9336 2022-10-26 23:07:50,248 - mmdet - INFO - Epoch [27][1400/1849] lr: 2.000e-04, eta: 4:07:22, time: 0.394, data_time: 0.010, memory: 4055, loss_contrastive: 3.1516, loss_bbox: 0.6481, loss_iou: 0.9501, d0.loss_bbox: 0.7052, d0.loss_iou: 1.0230, d1.loss_bbox: 0.6791, d1.loss_iou: 0.9893, d2.loss_bbox: 0.6646, d2.loss_iou: 0.9695, d3.loss_bbox: 0.6541, d3.loss_iou: 0.9566, d4.loss_bbox: 0.6487, d4.loss_iou: 0.9506, loss: 12.9905, grad_norm: 12.9685 2022-10-26 23:08:07,707 - mmdet - INFO - Epoch [27][1450/1849] lr: 2.000e-04, eta: 4:07:05, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1494, loss_bbox: 0.6474, loss_iou: 0.9527, d0.loss_bbox: 0.7039, d0.loss_iou: 1.0251, d1.loss_bbox: 0.6796, d1.loss_iou: 0.9932, d2.loss_bbox: 0.6645, d2.loss_iou: 0.9724, d3.loss_bbox: 0.6539, d3.loss_iou: 0.9597, d4.loss_bbox: 0.6480, d4.loss_iou: 0.9532, loss: 13.0033, grad_norm: 12.7682 2022-10-26 23:08:25,317 - mmdet - INFO - Epoch [27][1500/1849] lr: 2.000e-04, eta: 4:06:48, time: 0.352, data_time: 0.010, memory: 4055, loss_contrastive: 3.1535, loss_bbox: 0.6483, loss_iou: 0.9540, d0.loss_bbox: 0.7025, d0.loss_iou: 1.0252, d1.loss_bbox: 0.6794, d1.loss_iou: 0.9944, d2.loss_bbox: 0.6641, d2.loss_iou: 0.9734, d3.loss_bbox: 0.6536, d3.loss_iou: 0.9613, d4.loss_bbox: 0.6489, d4.loss_iou: 0.9545, loss: 13.0131, grad_norm: 14.9891 2022-10-26 23:08:42,830 - mmdet - INFO - Epoch [27][1550/1849] lr: 2.000e-04, eta: 4:06:31, time: 0.350, data_time: 0.010, memory: 4055, loss_contrastive: 3.1468, loss_bbox: 0.6467, loss_iou: 0.9489, d0.loss_bbox: 0.7033, d0.loss_iou: 1.0205, d1.loss_bbox: 0.6796, d1.loss_iou: 0.9904, d2.loss_bbox: 0.6639, d2.loss_iou: 0.9699, d3.loss_bbox: 0.6527, d3.loss_iou: 0.9564, d4.loss_bbox: 0.6471, d4.loss_iou: 0.9499, loss: 12.9760, grad_norm: 12.4655 2022-10-26 23:09:00,027 - mmdet - INFO - Epoch [27][1600/1849] lr: 2.000e-04, eta: 4:06:14, time: 0.344, data_time: 0.010, memory: 4055, loss_contrastive: 3.1503, loss_bbox: 0.6449, loss_iou: 0.9531, d0.loss_bbox: 0.7035, d0.loss_iou: 1.0265, d1.loss_bbox: 0.6775, d1.loss_iou: 0.9932, d2.loss_bbox: 0.6627, d2.loss_iou: 0.9733, d3.loss_bbox: 0.6519, d3.loss_iou: 0.9611, d4.loss_bbox: 0.6456, d4.loss_iou: 0.9536, loss: 12.9974, grad_norm: 13.3437 2022-10-26 23:09:17,538 - mmdet - INFO - Epoch [27][1650/1849] lr: 2.000e-04, eta: 4:05:57, time: 0.350, data_time: 0.010, memory: 4055, loss_contrastive: 3.1459, loss_bbox: 0.6463, loss_iou: 0.9561, d0.loss_bbox: 0.7018, d0.loss_iou: 1.0270, d1.loss_bbox: 0.6778, d1.loss_iou: 0.9944, d2.loss_bbox: 0.6623, d2.loss_iou: 0.9746, d3.loss_bbox: 0.6521, d3.loss_iou: 0.9618, d4.loss_bbox: 0.6468, d4.loss_iou: 0.9566, loss: 13.0035, grad_norm: 13.4505 2022-10-26 23:09:35,156 - mmdet - INFO - Epoch [27][1700/1849] lr: 2.000e-04, eta: 4:05:40, time: 0.352, data_time: 0.010, memory: 4055, loss_contrastive: 3.1511, loss_bbox: 0.6511, loss_iou: 0.9554, d0.loss_bbox: 0.7072, d0.loss_iou: 1.0280, d1.loss_bbox: 0.6838, d1.loss_iou: 0.9962, d2.loss_bbox: 0.6678, d2.loss_iou: 0.9765, d3.loss_bbox: 0.6570, d3.loss_iou: 0.9632, d4.loss_bbox: 0.6515, d4.loss_iou: 0.9560, loss: 13.0449, grad_norm: 14.8872 2022-10-26 23:09:52,646 - mmdet - INFO - Epoch [27][1750/1849] lr: 2.000e-04, eta: 4:05:23, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1501, loss_bbox: 0.6482, loss_iou: 0.9534, d0.loss_bbox: 0.7049, d0.loss_iou: 1.0273, d1.loss_bbox: 0.6804, d1.loss_iou: 0.9950, d2.loss_bbox: 0.6650, d2.loss_iou: 0.9737, d3.loss_bbox: 0.6547, d3.loss_iou: 0.9605, d4.loss_bbox: 0.6491, d4.loss_iou: 0.9537, loss: 13.0159, grad_norm: 13.9911 2022-10-26 23:10:09,924 - mmdet - INFO - Epoch [27][1800/1849] lr: 2.000e-04, eta: 4:05:05, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1531, loss_bbox: 0.6459, loss_iou: 0.9491, d0.loss_bbox: 0.7029, d0.loss_iou: 1.0217, d1.loss_bbox: 0.6778, d1.loss_iou: 0.9887, d2.loss_bbox: 0.6624, d2.loss_iou: 0.9690, d3.loss_bbox: 0.6522, d3.loss_iou: 0.9562, d4.loss_bbox: 0.6463, d4.loss_iou: 0.9501, loss: 12.9755, grad_norm: 15.8418 2022-10-26 23:10:27,262 - mmdet - INFO - Saving checkpoint at 27 epochs 2022-10-26 23:10:52,747 - mmdet - INFO - Epoch [28][50/1849] lr: 2.000e-04, eta: 4:04:23, time: 0.485, data_time: 0.069, memory: 4055, loss_contrastive: 3.1492, loss_bbox: 0.6459, loss_iou: 0.9508, d0.loss_bbox: 0.7008, d0.loss_iou: 1.0227, d1.loss_bbox: 0.6772, d1.loss_iou: 0.9901, d2.loss_bbox: 0.6623, d2.loss_iou: 0.9700, d3.loss_bbox: 0.6513, d3.loss_iou: 0.9578, d4.loss_bbox: 0.6462, d4.loss_iou: 0.9512, loss: 12.9754, grad_norm: 12.8428 2022-10-26 23:11:10,290 - mmdet - INFO - Epoch [28][100/1849] lr: 2.000e-04, eta: 4:04:06, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1545, loss_bbox: 0.6467, loss_iou: 0.9523, d0.loss_bbox: 0.7050, d0.loss_iou: 1.0245, d1.loss_bbox: 0.6802, d1.loss_iou: 0.9932, d2.loss_bbox: 0.6652, d2.loss_iou: 0.9730, d3.loss_bbox: 0.6532, d3.loss_iou: 0.9600, d4.loss_bbox: 0.6474, d4.loss_iou: 0.9527, loss: 13.0079, grad_norm: 14.8485 2022-10-26 23:11:30,062 - mmdet - INFO - Epoch [28][150/1849] lr: 2.000e-04, eta: 4:03:50, time: 0.395, data_time: 0.008, memory: 4055, loss_contrastive: 3.1539, loss_bbox: 0.6465, loss_iou: 0.9522, d0.loss_bbox: 0.7023, d0.loss_iou: 1.0250, d1.loss_bbox: 0.6784, d1.loss_iou: 0.9929, d2.loss_bbox: 0.6632, d2.loss_iou: 0.9728, d3.loss_bbox: 0.6526, d3.loss_iou: 0.9595, d4.loss_bbox: 0.6471, d4.loss_iou: 0.9530, loss: 12.9993, grad_norm: 12.5289 2022-10-26 23:11:49,633 - mmdet - INFO - Epoch [28][200/1849] lr: 2.000e-04, eta: 4:03:35, time: 0.391, data_time: 0.008, memory: 4055, loss_contrastive: 3.1512, loss_bbox: 0.6490, loss_iou: 0.9489, d0.loss_bbox: 0.7065, d0.loss_iou: 1.0212, d1.loss_bbox: 0.6814, d1.loss_iou: 0.9905, d2.loss_bbox: 0.6659, d2.loss_iou: 0.9694, d3.loss_bbox: 0.6548, d3.loss_iou: 0.9566, d4.loss_bbox: 0.6493, d4.loss_iou: 0.9498, loss: 12.9943, grad_norm: 13.8353 2022-10-26 23:12:16,061 - mmdet - INFO - Epoch [28][250/1849] lr: 2.000e-04, eta: 4:03:26, time: 0.529, data_time: 0.008, memory: 4055, loss_contrastive: 3.1588, loss_bbox: 0.6489, loss_iou: 0.9501, d0.loss_bbox: 0.7066, d0.loss_iou: 1.0233, d1.loss_bbox: 0.6821, d1.loss_iou: 0.9918, d2.loss_bbox: 0.6660, d2.loss_iou: 0.9706, d3.loss_bbox: 0.6560, d3.loss_iou: 0.9582, d4.loss_bbox: 0.6495, d4.loss_iou: 0.9511, loss: 13.0131, grad_norm: 14.0990 2022-10-26 23:12:35,877 - mmdet - INFO - Epoch [28][300/1849] lr: 2.000e-04, eta: 4:03:10, time: 0.396, data_time: 0.009, memory: 4055, loss_contrastive: 3.1477, loss_bbox: 0.6440, loss_iou: 0.9458, d0.loss_bbox: 0.7009, d0.loss_iou: 1.0196, d1.loss_bbox: 0.6764, d1.loss_iou: 0.9860, d2.loss_bbox: 0.6605, d2.loss_iou: 0.9657, d3.loss_bbox: 0.6498, d3.loss_iou: 0.9529, d4.loss_bbox: 0.6445, d4.loss_iou: 0.9463, loss: 12.9403, grad_norm: 15.0182 2022-10-26 23:13:04,854 - mmdet - INFO - Epoch [28][350/1849] lr: 2.000e-04, eta: 4:03:03, time: 0.580, data_time: 0.008, memory: 4055, loss_contrastive: 3.1424, loss_bbox: 0.6442, loss_iou: 0.9478, d0.loss_bbox: 0.7007, d0.loss_iou: 1.0188, d1.loss_bbox: 0.6766, d1.loss_iou: 0.9870, d2.loss_bbox: 0.6607, d2.loss_iou: 0.9672, d3.loss_bbox: 0.6501, d3.loss_iou: 0.9552, d4.loss_bbox: 0.6447, d4.loss_iou: 0.9484, loss: 12.9439, grad_norm: 16.4440 2022-10-26 23:13:24,582 - mmdet - INFO - Epoch [28][400/1849] lr: 2.000e-04, eta: 4:02:48, time: 0.395, data_time: 0.008, memory: 4055, loss_contrastive: 3.1411, loss_bbox: 0.6438, loss_iou: 0.9484, d0.loss_bbox: 0.6998, d0.loss_iou: 1.0202, d1.loss_bbox: 0.6759, d1.loss_iou: 0.9879, d2.loss_bbox: 0.6603, d2.loss_iou: 0.9677, d3.loss_bbox: 0.6501, d3.loss_iou: 0.9551, d4.loss_bbox: 0.6443, d4.loss_iou: 0.9491, loss: 12.9436, grad_norm: 12.9146 2022-10-26 23:13:50,824 - mmdet - INFO - Epoch [28][450/1849] lr: 2.000e-04, eta: 4:02:38, time: 0.525, data_time: 0.008, memory: 4055, loss_contrastive: 3.1448, loss_bbox: 0.6463, loss_iou: 0.9495, d0.loss_bbox: 0.7022, d0.loss_iou: 1.0209, d1.loss_bbox: 0.6770, d1.loss_iou: 0.9898, d2.loss_bbox: 0.6627, d2.loss_iou: 0.9695, d3.loss_bbox: 0.6521, d3.loss_iou: 0.9563, d4.loss_bbox: 0.6468, d4.loss_iou: 0.9504, loss: 12.9685, grad_norm: 14.7959 2022-10-26 23:14:10,409 - mmdet - INFO - Epoch [28][500/1849] lr: 2.000e-04, eta: 4:02:23, time: 0.392, data_time: 0.008, memory: 4055, loss_contrastive: 3.1467, loss_bbox: 0.6437, loss_iou: 0.9512, d0.loss_bbox: 0.7028, d0.loss_iou: 1.0270, d1.loss_bbox: 0.6761, d1.loss_iou: 0.9919, d2.loss_bbox: 0.6606, d2.loss_iou: 0.9711, d3.loss_bbox: 0.6493, d3.loss_iou: 0.9583, d4.loss_bbox: 0.6441, d4.loss_iou: 0.9520, loss: 12.9748, grad_norm: 15.2543 2022-10-26 23:14:30,195 - mmdet - INFO - Epoch [28][550/1849] lr: 2.000e-04, eta: 4:02:07, time: 0.396, data_time: 0.008, memory: 4055, loss_contrastive: 3.1434, loss_bbox: 0.6450, loss_iou: 0.9506, d0.loss_bbox: 0.7015, d0.loss_iou: 1.0237, d1.loss_bbox: 0.6772, d1.loss_iou: 0.9915, d2.loss_bbox: 0.6610, d2.loss_iou: 0.9702, d3.loss_bbox: 0.6505, d3.loss_iou: 0.9576, d4.loss_bbox: 0.6455, d4.loss_iou: 0.9515, loss: 12.9692, grad_norm: 13.8999 2022-10-26 23:14:49,980 - mmdet - INFO - Epoch [28][600/1849] lr: 2.000e-04, eta: 4:01:52, time: 0.396, data_time: 0.008, memory: 4055, loss_contrastive: 3.1453, loss_bbox: 0.6448, loss_iou: 0.9490, d0.loss_bbox: 0.7003, d0.loss_iou: 1.0216, d1.loss_bbox: 0.6763, d1.loss_iou: 0.9897, d2.loss_bbox: 0.6610, d2.loss_iou: 0.9691, d3.loss_bbox: 0.6509, d3.loss_iou: 0.9560, d4.loss_bbox: 0.6453, d4.loss_iou: 0.9497, loss: 12.9590, grad_norm: 13.9934 2022-10-26 23:15:09,814 - mmdet - INFO - Epoch [28][650/1849] lr: 2.000e-04, eta: 4:01:37, time: 0.397, data_time: 0.009, memory: 4055, loss_contrastive: 3.1477, loss_bbox: 0.6462, loss_iou: 0.9500, d0.loss_bbox: 0.7027, d0.loss_iou: 1.0232, d1.loss_bbox: 0.6782, d1.loss_iou: 0.9908, d2.loss_bbox: 0.6626, d2.loss_iou: 0.9703, d3.loss_bbox: 0.6519, d3.loss_iou: 0.9578, d4.loss_bbox: 0.6466, d4.loss_iou: 0.9509, loss: 12.9790, grad_norm: 14.8631 2022-10-26 23:15:31,800 - mmdet - INFO - Epoch [28][700/1849] lr: 2.000e-04, eta: 4:01:23, time: 0.440, data_time: 0.009, memory: 4055, loss_contrastive: 3.1451, loss_bbox: 0.6448, loss_iou: 0.9507, d0.loss_bbox: 0.6999, d0.loss_iou: 1.0210, d1.loss_bbox: 0.6756, d1.loss_iou: 0.9890, d2.loss_bbox: 0.6605, d2.loss_iou: 0.9693, d3.loss_bbox: 0.6506, d3.loss_iou: 0.9575, d4.loss_bbox: 0.6454, d4.loss_iou: 0.9515, loss: 12.9607, grad_norm: 14.4716 2022-10-26 23:15:49,186 - mmdet - INFO - Epoch [28][750/1849] lr: 2.000e-04, eta: 4:01:06, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1424, loss_bbox: 0.6408, loss_iou: 0.9466, d0.loss_bbox: 0.6970, d0.loss_iou: 1.0183, d1.loss_bbox: 0.6722, d1.loss_iou: 0.9859, d2.loss_bbox: 0.6577, d2.loss_iou: 0.9664, d3.loss_bbox: 0.6471, d3.loss_iou: 0.9531, d4.loss_bbox: 0.6416, d4.loss_iou: 0.9472, loss: 12.9164, grad_norm: 14.6454 2022-10-26 23:16:06,392 - mmdet - INFO - Epoch [28][800/1849] lr: 2.000e-04, eta: 4:00:49, time: 0.344, data_time: 0.008, memory: 4055, loss_contrastive: 3.1473, loss_bbox: 0.6463, loss_iou: 0.9519, d0.loss_bbox: 0.7017, d0.loss_iou: 1.0237, d1.loss_bbox: 0.6783, d1.loss_iou: 0.9921, d2.loss_bbox: 0.6627, d2.loss_iou: 0.9720, d3.loss_bbox: 0.6519, d3.loss_iou: 0.9590, d4.loss_bbox: 0.6469, d4.loss_iou: 0.9525, loss: 12.9862, grad_norm: 15.2116 2022-10-26 23:16:23,715 - mmdet - INFO - Epoch [28][850/1849] lr: 2.000e-04, eta: 4:00:31, time: 0.346, data_time: 0.008, memory: 4055, loss_contrastive: 3.1426, loss_bbox: 0.6509, loss_iou: 0.9542, d0.loss_bbox: 0.7059, d0.loss_iou: 1.0245, d1.loss_bbox: 0.6827, d1.loss_iou: 0.9942, d2.loss_bbox: 0.6680, d2.loss_iou: 0.9743, d3.loss_bbox: 0.6571, d3.loss_iou: 0.9620, d4.loss_bbox: 0.6516, d4.loss_iou: 0.9550, loss: 13.0230, grad_norm: 13.4636 2022-10-26 23:16:41,151 - mmdet - INFO - Epoch [28][900/1849] lr: 2.000e-04, eta: 4:00:14, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1460, loss_bbox: 0.6456, loss_iou: 0.9479, d0.loss_bbox: 0.7032, d0.loss_iou: 1.0208, d1.loss_bbox: 0.6780, d1.loss_iou: 0.9887, d2.loss_bbox: 0.6626, d2.loss_iou: 0.9681, d3.loss_bbox: 0.6517, d3.loss_iou: 0.9553, d4.loss_bbox: 0.6459, d4.loss_iou: 0.9486, loss: 12.9625, grad_norm: 13.1868 2022-10-26 23:16:58,503 - mmdet - INFO - Epoch [28][950/1849] lr: 2.000e-04, eta: 3:59:57, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1496, loss_bbox: 0.6437, loss_iou: 0.9510, d0.loss_bbox: 0.6998, d0.loss_iou: 1.0247, d1.loss_bbox: 0.6757, d1.loss_iou: 0.9917, d2.loss_bbox: 0.6603, d2.loss_iou: 0.9696, d3.loss_bbox: 0.6496, d3.loss_iou: 0.9577, d4.loss_bbox: 0.6444, d4.loss_iou: 0.9515, loss: 12.9691, grad_norm: 13.5510 2022-10-26 23:17:15,837 - mmdet - INFO - Epoch [28][1000/1849] lr: 2.000e-04, eta: 3:59:40, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1484, loss_bbox: 0.6491, loss_iou: 0.9558, d0.loss_bbox: 0.7057, d0.loss_iou: 1.0278, d1.loss_bbox: 0.6818, d1.loss_iou: 0.9949, d2.loss_bbox: 0.6655, d2.loss_iou: 0.9750, d3.loss_bbox: 0.6550, d3.loss_iou: 0.9626, d4.loss_bbox: 0.6498, d4.loss_iou: 0.9563, loss: 13.0277, grad_norm: 13.9131 2022-10-26 23:17:33,267 - mmdet - INFO - Epoch [28][1050/1849] lr: 2.000e-04, eta: 3:59:22, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1490, loss_bbox: 0.6453, loss_iou: 0.9537, d0.loss_bbox: 0.7011, d0.loss_iou: 1.0266, d1.loss_bbox: 0.6767, d1.loss_iou: 0.9950, d2.loss_bbox: 0.6617, d2.loss_iou: 0.9734, d3.loss_bbox: 0.6514, d3.loss_iou: 0.9609, d4.loss_bbox: 0.6460, d4.loss_iou: 0.9545, loss: 12.9954, grad_norm: 13.6366 2022-10-26 23:17:50,662 - mmdet - INFO - Epoch [28][1100/1849] lr: 2.000e-04, eta: 3:59:05, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1545, loss_bbox: 0.6442, loss_iou: 0.9509, d0.loss_bbox: 0.7022, d0.loss_iou: 1.0242, d1.loss_bbox: 0.6777, d1.loss_iou: 0.9926, d2.loss_bbox: 0.6615, d2.loss_iou: 0.9708, d3.loss_bbox: 0.6505, d3.loss_iou: 0.9580, d4.loss_bbox: 0.6449, d4.loss_iou: 0.9514, loss: 12.9836, grad_norm: 14.5278 2022-10-26 23:18:08,338 - mmdet - INFO - Epoch [28][1150/1849] lr: 2.000e-04, eta: 3:58:48, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1442, loss_bbox: 0.6478, loss_iou: 0.9492, d0.loss_bbox: 0.7038, d0.loss_iou: 1.0218, d1.loss_bbox: 0.6800, d1.loss_iou: 0.9897, d2.loss_bbox: 0.6638, d2.loss_iou: 0.9692, d3.loss_bbox: 0.6537, d3.loss_iou: 0.9562, d4.loss_bbox: 0.6484, d4.loss_iou: 0.9499, loss: 12.9776, grad_norm: 12.7523 2022-10-26 23:18:25,872 - mmdet - INFO - Epoch [28][1200/1849] lr: 2.000e-04, eta: 3:58:31, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1585, loss_bbox: 0.6500, loss_iou: 0.9542, d0.loss_bbox: 0.7063, d0.loss_iou: 1.0263, d1.loss_bbox: 0.6841, d1.loss_iou: 0.9938, d2.loss_bbox: 0.6672, d2.loss_iou: 0.9734, d3.loss_bbox: 0.6571, d3.loss_iou: 0.9609, d4.loss_bbox: 0.6504, d4.loss_iou: 0.9549, loss: 13.0371, grad_norm: 12.3612 2022-10-26 23:18:42,990 - mmdet - INFO - Epoch [28][1250/1849] lr: 2.000e-04, eta: 3:58:14, time: 0.342, data_time: 0.008, memory: 4055, loss_contrastive: 3.1459, loss_bbox: 0.6458, loss_iou: 0.9492, d0.loss_bbox: 0.7020, d0.loss_iou: 1.0213, d1.loss_bbox: 0.6767, d1.loss_iou: 0.9885, d2.loss_bbox: 0.6625, d2.loss_iou: 0.9684, d3.loss_bbox: 0.6514, d3.loss_iou: 0.9564, d4.loss_bbox: 0.6460, d4.loss_iou: 0.9501, loss: 12.9643, grad_norm: 12.3387 2022-10-26 23:19:00,251 - mmdet - INFO - Epoch [28][1300/1849] lr: 2.000e-04, eta: 3:57:56, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1485, loss_bbox: 0.6477, loss_iou: 0.9565, d0.loss_bbox: 0.7026, d0.loss_iou: 1.0264, d1.loss_bbox: 0.6797, d1.loss_iou: 0.9959, d2.loss_bbox: 0.6643, d2.loss_iou: 0.9752, d3.loss_bbox: 0.6535, d3.loss_iou: 0.9629, d4.loss_bbox: 0.6481, d4.loss_iou: 0.9571, loss: 13.0184, grad_norm: 15.0316 2022-10-26 23:19:17,420 - mmdet - INFO - Epoch [28][1350/1849] lr: 2.000e-04, eta: 3:57:39, time: 0.343, data_time: 0.008, memory: 4055, loss_contrastive: 3.1450, loss_bbox: 0.6447, loss_iou: 0.9509, d0.loss_bbox: 0.7017, d0.loss_iou: 1.0223, d1.loss_bbox: 0.6769, d1.loss_iou: 0.9909, d2.loss_bbox: 0.6615, d2.loss_iou: 0.9708, d3.loss_bbox: 0.6508, d3.loss_iou: 0.9578, d4.loss_bbox: 0.6454, d4.loss_iou: 0.9518, loss: 12.9704, grad_norm: 13.6628 2022-10-26 23:19:35,047 - mmdet - INFO - Epoch [28][1400/1849] lr: 2.000e-04, eta: 3:57:22, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1459, loss_bbox: 0.6454, loss_iou: 0.9489, d0.loss_bbox: 0.7022, d0.loss_iou: 1.0206, d1.loss_bbox: 0.6787, d1.loss_iou: 0.9897, d2.loss_bbox: 0.6630, d2.loss_iou: 0.9687, d3.loss_bbox: 0.6520, d3.loss_iou: 0.9563, d4.loss_bbox: 0.6462, d4.loss_iou: 0.9497, loss: 12.9673, grad_norm: 15.1034 2022-10-26 23:19:52,269 - mmdet - INFO - Epoch [28][1450/1849] lr: 2.000e-04, eta: 3:57:04, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1474, loss_bbox: 0.6477, loss_iou: 0.9516, d0.loss_bbox: 0.7038, d0.loss_iou: 1.0224, d1.loss_bbox: 0.6803, d1.loss_iou: 0.9927, d2.loss_bbox: 0.6650, d2.loss_iou: 0.9715, d3.loss_bbox: 0.6537, d3.loss_iou: 0.9583, d4.loss_bbox: 0.6483, d4.loss_iou: 0.9522, loss: 12.9949, grad_norm: 14.9482 2022-10-26 23:20:09,882 - mmdet - INFO - Epoch [28][1500/1849] lr: 2.000e-04, eta: 3:56:47, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1438, loss_bbox: 0.6462, loss_iou: 0.9523, d0.loss_bbox: 0.7033, d0.loss_iou: 1.0247, d1.loss_bbox: 0.6780, d1.loss_iou: 0.9926, d2.loss_bbox: 0.6636, d2.loss_iou: 0.9728, d3.loss_bbox: 0.6522, d3.loss_iou: 0.9598, d4.loss_bbox: 0.6466, d4.loss_iou: 0.9534, loss: 12.9893, grad_norm: 13.0739 2022-10-26 23:20:27,100 - mmdet - INFO - Epoch [28][1550/1849] lr: 2.000e-04, eta: 3:56:30, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1490, loss_bbox: 0.6467, loss_iou: 0.9516, d0.loss_bbox: 0.7042, d0.loss_iou: 1.0235, d1.loss_bbox: 0.6799, d1.loss_iou: 0.9931, d2.loss_bbox: 0.6646, d2.loss_iou: 0.9727, d3.loss_bbox: 0.6534, d3.loss_iou: 0.9592, d4.loss_bbox: 0.6471, d4.loss_iou: 0.9525, loss: 12.9974, grad_norm: 13.7670 2022-10-26 23:20:44,361 - mmdet - INFO - Epoch [28][1600/1849] lr: 2.000e-04, eta: 3:56:12, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1481, loss_bbox: 0.6469, loss_iou: 0.9520, d0.loss_bbox: 0.7032, d0.loss_iou: 1.0234, d1.loss_bbox: 0.6791, d1.loss_iou: 0.9929, d2.loss_bbox: 0.6636, d2.loss_iou: 0.9718, d3.loss_bbox: 0.6529, d3.loss_iou: 0.9600, d4.loss_bbox: 0.6475, d4.loss_iou: 0.9529, loss: 12.9942, grad_norm: 15.0740 2022-10-26 23:21:01,680 - mmdet - INFO - Epoch [28][1650/1849] lr: 2.000e-04, eta: 3:55:55, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1527, loss_bbox: 0.6425, loss_iou: 0.9466, d0.loss_bbox: 0.6988, d0.loss_iou: 1.0197, d1.loss_bbox: 0.6753, d1.loss_iou: 0.9876, d2.loss_bbox: 0.6597, d2.loss_iou: 0.9676, d3.loss_bbox: 0.6490, d3.loss_iou: 0.9543, d4.loss_bbox: 0.6428, d4.loss_iou: 0.9473, loss: 12.9439, grad_norm: 13.5692 2022-10-26 23:21:19,080 - mmdet - INFO - Epoch [28][1700/1849] lr: 2.000e-04, eta: 3:55:38, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1509, loss_bbox: 0.6472, loss_iou: 0.9506, d0.loss_bbox: 0.7030, d0.loss_iou: 1.0229, d1.loss_bbox: 0.6796, d1.loss_iou: 0.9915, d2.loss_bbox: 0.6644, d2.loss_iou: 0.9712, d3.loss_bbox: 0.6537, d3.loss_iou: 0.9577, d4.loss_bbox: 0.6478, d4.loss_iou: 0.9517, loss: 12.9921, grad_norm: 13.1069 2022-10-26 23:21:36,324 - mmdet - INFO - Epoch [28][1750/1849] lr: 2.000e-04, eta: 3:55:21, time: 0.345, data_time: 0.008, memory: 4055, loss_contrastive: 3.1409, loss_bbox: 0.6491, loss_iou: 0.9497, d0.loss_bbox: 0.7048, d0.loss_iou: 1.0217, d1.loss_bbox: 0.6810, d1.loss_iou: 0.9904, d2.loss_bbox: 0.6651, d2.loss_iou: 0.9695, d3.loss_bbox: 0.6550, d3.loss_iou: 0.9569, d4.loss_bbox: 0.6495, d4.loss_iou: 0.9501, loss: 12.9836, grad_norm: 12.3051 2022-10-26 23:21:53,431 - mmdet - INFO - Epoch [28][1800/1849] lr: 2.000e-04, eta: 3:55:03, time: 0.342, data_time: 0.008, memory: 4055, loss_contrastive: 3.1479, loss_bbox: 0.6464, loss_iou: 0.9489, d0.loss_bbox: 0.7009, d0.loss_iou: 1.0206, d1.loss_bbox: 0.6780, d1.loss_iou: 0.9896, d2.loss_bbox: 0.6626, d2.loss_iou: 0.9698, d3.loss_bbox: 0.6521, d3.loss_iou: 0.9564, d4.loss_bbox: 0.6464, d4.loss_iou: 0.9499, loss: 12.9696, grad_norm: 15.0258 2022-10-26 23:22:10,418 - mmdet - INFO - Saving checkpoint at 28 epochs 2022-10-26 23:22:32,372 - mmdet - INFO - Epoch [29][50/1849] lr: 2.000e-04, eta: 3:54:18, time: 0.415, data_time: 0.070, memory: 4055, loss_contrastive: 3.1463, loss_bbox: 0.6484, loss_iou: 0.9553, d0.loss_bbox: 0.7043, d0.loss_iou: 1.0265, d1.loss_bbox: 0.6790, d1.loss_iou: 0.9943, d2.loss_bbox: 0.6636, d2.loss_iou: 0.9748, d3.loss_bbox: 0.6545, d3.loss_iou: 0.9622, d4.loss_bbox: 0.6490, d4.loss_iou: 0.9564, loss: 13.0146, grad_norm: 15.0097 2022-10-26 23:22:49,895 - mmdet - INFO - Epoch [29][100/1849] lr: 2.000e-04, eta: 3:54:01, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1471, loss_bbox: 0.6457, loss_iou: 0.9498, d0.loss_bbox: 0.7006, d0.loss_iou: 1.0192, d1.loss_bbox: 0.6764, d1.loss_iou: 0.9893, d2.loss_bbox: 0.6613, d2.loss_iou: 0.9699, d3.loss_bbox: 0.6517, d3.loss_iou: 0.9571, d4.loss_bbox: 0.6465, d4.loss_iou: 0.9505, loss: 12.9648, grad_norm: 15.0130 2022-10-26 23:23:07,374 - mmdet - INFO - Epoch [29][150/1849] lr: 2.000e-04, eta: 3:53:44, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1414, loss_bbox: 0.6432, loss_iou: 0.9472, d0.loss_bbox: 0.7005, d0.loss_iou: 1.0211, d1.loss_bbox: 0.6754, d1.loss_iou: 0.9894, d2.loss_bbox: 0.6598, d2.loss_iou: 0.9679, d3.loss_bbox: 0.6492, d3.loss_iou: 0.9548, d4.loss_bbox: 0.6436, d4.loss_iou: 0.9481, loss: 12.9417, grad_norm: 14.0406 2022-10-26 23:23:25,036 - mmdet - INFO - Epoch [29][200/1849] lr: 2.000e-04, eta: 3:53:27, time: 0.353, data_time: 0.008, memory: 4055, loss_contrastive: 3.1553, loss_bbox: 0.6406, loss_iou: 0.9443, d0.loss_bbox: 0.6975, d0.loss_iou: 1.0187, d1.loss_bbox: 0.6737, d1.loss_iou: 0.9863, d2.loss_bbox: 0.6584, d2.loss_iou: 0.9650, d3.loss_bbox: 0.6475, d3.loss_iou: 0.9517, d4.loss_bbox: 0.6412, d4.loss_iou: 0.9452, loss: 12.9255, grad_norm: 13.0519 2022-10-26 23:23:42,409 - mmdet - INFO - Epoch [29][250/1849] lr: 2.000e-04, eta: 3:53:10, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1505, loss_bbox: 0.6439, loss_iou: 0.9508, d0.loss_bbox: 0.7000, d0.loss_iou: 1.0223, d1.loss_bbox: 0.6753, d1.loss_iou: 0.9915, d2.loss_bbox: 0.6606, d2.loss_iou: 0.9712, d3.loss_bbox: 0.6505, d3.loss_iou: 0.9581, d4.loss_bbox: 0.6444, d4.loss_iou: 0.9517, loss: 12.9709, grad_norm: 13.0452 2022-10-26 23:23:59,638 - mmdet - INFO - Epoch [29][300/1849] lr: 2.000e-04, eta: 3:52:52, time: 0.345, data_time: 0.008, memory: 4055, loss_contrastive: 3.1485, loss_bbox: 0.6453, loss_iou: 0.9512, d0.loss_bbox: 0.6994, d0.loss_iou: 1.0210, d1.loss_bbox: 0.6759, d1.loss_iou: 0.9900, d2.loss_bbox: 0.6606, d2.loss_iou: 0.9698, d3.loss_bbox: 0.6513, d3.loss_iou: 0.9581, d4.loss_bbox: 0.6459, d4.loss_iou: 0.9517, loss: 12.9687, grad_norm: 12.0355 2022-10-26 23:24:17,318 - mmdet - INFO - Epoch [29][350/1849] lr: 2.000e-04, eta: 3:52:35, time: 0.354, data_time: 0.008, memory: 4055, loss_contrastive: 3.1538, loss_bbox: 0.6502, loss_iou: 0.9520, d0.loss_bbox: 0.7056, d0.loss_iou: 1.0215, d1.loss_bbox: 0.6823, d1.loss_iou: 0.9920, d2.loss_bbox: 0.6665, d2.loss_iou: 0.9721, d3.loss_bbox: 0.6563, d3.loss_iou: 0.9591, d4.loss_bbox: 0.6508, d4.loss_iou: 0.9528, loss: 13.0149, grad_norm: 13.8230 2022-10-26 23:24:34,830 - mmdet - INFO - Epoch [29][400/1849] lr: 2.000e-04, eta: 3:52:18, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1459, loss_bbox: 0.6483, loss_iou: 0.9542, d0.loss_bbox: 0.7044, d0.loss_iou: 1.0247, d1.loss_bbox: 0.6804, d1.loss_iou: 0.9937, d2.loss_bbox: 0.6652, d2.loss_iou: 0.9739, d3.loss_bbox: 0.6543, d3.loss_iou: 0.9615, d4.loss_bbox: 0.6488, d4.loss_iou: 0.9549, loss: 13.0102, grad_norm: 15.5842 2022-10-26 23:24:52,409 - mmdet - INFO - Epoch [29][450/1849] lr: 2.000e-04, eta: 3:52:01, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1470, loss_bbox: 0.6438, loss_iou: 0.9494, d0.loss_bbox: 0.7022, d0.loss_iou: 1.0218, d1.loss_bbox: 0.6778, d1.loss_iou: 0.9904, d2.loss_bbox: 0.6619, d2.loss_iou: 0.9705, d3.loss_bbox: 0.6506, d3.loss_iou: 0.9570, d4.loss_bbox: 0.6446, d4.loss_iou: 0.9506, loss: 12.9675, grad_norm: 13.3547 2022-10-26 23:25:10,211 - mmdet - INFO - Epoch [29][500/1849] lr: 2.000e-04, eta: 3:51:44, time: 0.356, data_time: 0.008, memory: 4055, loss_contrastive: 3.1452, loss_bbox: 0.6451, loss_iou: 0.9483, d0.loss_bbox: 0.7024, d0.loss_iou: 1.0228, d1.loss_bbox: 0.6778, d1.loss_iou: 0.9901, d2.loss_bbox: 0.6617, d2.loss_iou: 0.9691, d3.loss_bbox: 0.6515, d3.loss_iou: 0.9562, d4.loss_bbox: 0.6458, d4.loss_iou: 0.9496, loss: 12.9657, grad_norm: 17.9470 2022-10-26 23:25:28,064 - mmdet - INFO - Epoch [29][550/1849] lr: 2.000e-04, eta: 3:51:27, time: 0.357, data_time: 0.008, memory: 4055, loss_contrastive: 3.1471, loss_bbox: 0.6426, loss_iou: 0.9481, d0.loss_bbox: 0.7006, d0.loss_iou: 1.0223, d1.loss_bbox: 0.6754, d1.loss_iou: 0.9899, d2.loss_bbox: 0.6589, d2.loss_iou: 0.9697, d3.loss_bbox: 0.6494, d3.loss_iou: 0.9561, d4.loss_bbox: 0.6432, d4.loss_iou: 0.9490, loss: 12.9524, grad_norm: 14.1059 2022-10-26 23:25:45,485 - mmdet - INFO - Epoch [29][600/1849] lr: 2.000e-04, eta: 3:51:10, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1464, loss_bbox: 0.6459, loss_iou: 0.9502, d0.loss_bbox: 0.7004, d0.loss_iou: 1.0200, d1.loss_bbox: 0.6766, d1.loss_iou: 0.9893, d2.loss_bbox: 0.6619, d2.loss_iou: 0.9700, d3.loss_bbox: 0.6514, d3.loss_iou: 0.9578, d4.loss_bbox: 0.6462, d4.loss_iou: 0.9509, loss: 12.9672, grad_norm: 14.2254 2022-10-26 23:26:02,782 - mmdet - INFO - Epoch [29][650/1849] lr: 2.000e-04, eta: 3:50:53, time: 0.346, data_time: 0.008, memory: 4055, loss_contrastive: 3.1458, loss_bbox: 0.6433, loss_iou: 0.9468, d0.loss_bbox: 0.7001, d0.loss_iou: 1.0183, d1.loss_bbox: 0.6760, d1.loss_iou: 0.9871, d2.loss_bbox: 0.6600, d2.loss_iou: 0.9667, d3.loss_bbox: 0.6497, d3.loss_iou: 0.9542, d4.loss_bbox: 0.6440, d4.loss_iou: 0.9475, loss: 12.9395, grad_norm: 14.3048 2022-10-26 23:26:20,146 - mmdet - INFO - Epoch [29][700/1849] lr: 2.000e-04, eta: 3:50:35, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1354, loss_bbox: 0.6434, loss_iou: 0.9503, d0.loss_bbox: 0.6993, d0.loss_iou: 1.0208, d1.loss_bbox: 0.6756, d1.loss_iou: 0.9898, d2.loss_bbox: 0.6608, d2.loss_iou: 0.9697, d3.loss_bbox: 0.6502, d3.loss_iou: 0.9573, d4.loss_bbox: 0.6440, d4.loss_iou: 0.9509, loss: 12.9475, grad_norm: 13.4785 2022-10-26 23:26:37,383 - mmdet - INFO - Epoch [29][750/1849] lr: 2.000e-04, eta: 3:50:18, time: 0.345, data_time: 0.008, memory: 4055, loss_contrastive: 3.1511, loss_bbox: 0.6440, loss_iou: 0.9494, d0.loss_bbox: 0.7020, d0.loss_iou: 1.0214, d1.loss_bbox: 0.6773, d1.loss_iou: 0.9896, d2.loss_bbox: 0.6617, d2.loss_iou: 0.9692, d3.loss_bbox: 0.6499, d3.loss_iou: 0.9562, d4.loss_bbox: 0.6449, d4.loss_iou: 0.9499, loss: 12.9666, grad_norm: 14.1133 2022-10-26 23:26:54,865 - mmdet - INFO - Epoch [29][800/1849] lr: 2.000e-04, eta: 3:50:01, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1502, loss_bbox: 0.6457, loss_iou: 0.9509, d0.loss_bbox: 0.7026, d0.loss_iou: 1.0241, d1.loss_bbox: 0.6778, d1.loss_iou: 0.9919, d2.loss_bbox: 0.6618, d2.loss_iou: 0.9709, d3.loss_bbox: 0.6518, d3.loss_iou: 0.9581, d4.loss_bbox: 0.6466, d4.loss_iou: 0.9518, loss: 12.9843, grad_norm: 13.4988 2022-10-26 23:27:12,528 - mmdet - INFO - Epoch [29][850/1849] lr: 2.000e-04, eta: 3:49:44, time: 0.353, data_time: 0.008, memory: 4055, loss_contrastive: 3.1434, loss_bbox: 0.6423, loss_iou: 0.9455, d0.loss_bbox: 0.7000, d0.loss_iou: 1.0195, d1.loss_bbox: 0.6747, d1.loss_iou: 0.9875, d2.loss_bbox: 0.6592, d2.loss_iou: 0.9668, d3.loss_bbox: 0.6481, d3.loss_iou: 0.9532, d4.loss_bbox: 0.6427, d4.loss_iou: 0.9463, loss: 12.9291, grad_norm: 13.3324 2022-10-26 23:27:29,919 - mmdet - INFO - Epoch [29][900/1849] lr: 2.000e-04, eta: 3:49:27, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1474, loss_bbox: 0.6419, loss_iou: 0.9465, d0.loss_bbox: 0.6975, d0.loss_iou: 1.0198, d1.loss_bbox: 0.6742, d1.loss_iou: 0.9886, d2.loss_bbox: 0.6579, d2.loss_iou: 0.9666, d3.loss_bbox: 0.6479, d3.loss_iou: 0.9538, d4.loss_bbox: 0.6426, d4.loss_iou: 0.9475, loss: 12.9322, grad_norm: 14.9113 2022-10-26 23:27:47,127 - mmdet - INFO - Epoch [29][950/1849] lr: 2.000e-04, eta: 3:49:09, time: 0.344, data_time: 0.008, memory: 4055, loss_contrastive: 3.1559, loss_bbox: 0.6464, loss_iou: 0.9514, d0.loss_bbox: 0.7040, d0.loss_iou: 1.0249, d1.loss_bbox: 0.6794, d1.loss_iou: 0.9926, d2.loss_bbox: 0.6636, d2.loss_iou: 0.9712, d3.loss_bbox: 0.6529, d3.loss_iou: 0.9590, d4.loss_bbox: 0.6471, d4.loss_iou: 0.9523, loss: 13.0005, grad_norm: 14.1279 2022-10-26 23:28:04,258 - mmdet - INFO - Epoch [29][1000/1849] lr: 2.000e-04, eta: 3:48:52, time: 0.343, data_time: 0.008, memory: 4055, loss_contrastive: 3.1479, loss_bbox: 0.6500, loss_iou: 0.9549, d0.loss_bbox: 0.7064, d0.loss_iou: 1.0276, d1.loss_bbox: 0.6821, d1.loss_iou: 0.9961, d2.loss_bbox: 0.6669, d2.loss_iou: 0.9743, d3.loss_bbox: 0.6561, d3.loss_iou: 0.9618, d4.loss_bbox: 0.6502, d4.loss_iou: 0.9558, loss: 13.0302, grad_norm: 14.7802 2022-10-26 23:28:21,834 - mmdet - INFO - Epoch [29][1050/1849] lr: 2.000e-04, eta: 3:48:35, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1505, loss_bbox: 0.6467, loss_iou: 0.9550, d0.loss_bbox: 0.7023, d0.loss_iou: 1.0273, d1.loss_bbox: 0.6787, d1.loss_iou: 0.9959, d2.loss_bbox: 0.6630, d2.loss_iou: 0.9755, d3.loss_bbox: 0.6525, d3.loss_iou: 0.9627, d4.loss_bbox: 0.6475, d4.loss_iou: 0.9558, loss: 13.0134, grad_norm: 15.1404 2022-10-26 23:28:39,202 - mmdet - INFO - Epoch [29][1100/1849] lr: 2.000e-04, eta: 3:48:17, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1554, loss_bbox: 0.6459, loss_iou: 0.9519, d0.loss_bbox: 0.7019, d0.loss_iou: 1.0241, d1.loss_bbox: 0.6778, d1.loss_iou: 0.9928, d2.loss_bbox: 0.6625, d2.loss_iou: 0.9720, d3.loss_bbox: 0.6519, d3.loss_iou: 0.9596, d4.loss_bbox: 0.6466, d4.loss_iou: 0.9527, loss: 12.9950, grad_norm: 12.5972 2022-10-26 23:28:56,760 - mmdet - INFO - Epoch [29][1150/1849] lr: 2.000e-04, eta: 3:48:00, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1476, loss_bbox: 0.6453, loss_iou: 0.9522, d0.loss_bbox: 0.7045, d0.loss_iou: 1.0252, d1.loss_bbox: 0.6780, d1.loss_iou: 0.9927, d2.loss_bbox: 0.6621, d2.loss_iou: 0.9723, d3.loss_bbox: 0.6518, d3.loss_iou: 0.9592, d4.loss_bbox: 0.6463, d4.loss_iou: 0.9530, loss: 12.9901, grad_norm: 12.4585 2022-10-26 23:29:14,295 - mmdet - INFO - Epoch [29][1200/1849] lr: 2.000e-04, eta: 3:47:43, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1454, loss_bbox: 0.6465, loss_iou: 0.9510, d0.loss_bbox: 0.7015, d0.loss_iou: 1.0209, d1.loss_bbox: 0.6775, d1.loss_iou: 0.9897, d2.loss_bbox: 0.6631, d2.loss_iou: 0.9697, d3.loss_bbox: 0.6525, d3.loss_iou: 0.9577, d4.loss_bbox: 0.6472, d4.loss_iou: 0.9518, loss: 12.9743, grad_norm: 11.9618 2022-10-26 23:29:31,705 - mmdet - INFO - Epoch [29][1250/1849] lr: 2.000e-04, eta: 3:47:26, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1417, loss_bbox: 0.6416, loss_iou: 0.9451, d0.loss_bbox: 0.6986, d0.loss_iou: 1.0191, d1.loss_bbox: 0.6735, d1.loss_iou: 0.9859, d2.loss_bbox: 0.6579, d2.loss_iou: 0.9647, d3.loss_bbox: 0.6479, d3.loss_iou: 0.9534, d4.loss_bbox: 0.6421, d4.loss_iou: 0.9460, loss: 12.9174, grad_norm: 14.0249 2022-10-26 23:29:49,085 - mmdet - INFO - Epoch [29][1300/1849] lr: 2.000e-04, eta: 3:47:09, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1512, loss_bbox: 0.6454, loss_iou: 0.9464, d0.loss_bbox: 0.7018, d0.loss_iou: 1.0177, d1.loss_bbox: 0.6773, d1.loss_iou: 0.9859, d2.loss_bbox: 0.6616, d2.loss_iou: 0.9656, d3.loss_bbox: 0.6513, d3.loss_iou: 0.9537, d4.loss_bbox: 0.6460, d4.loss_iou: 0.9472, loss: 12.9510, grad_norm: 13.2090 2022-10-26 23:30:06,494 - mmdet - INFO - Epoch [29][1350/1849] lr: 2.000e-04, eta: 3:46:51, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1386, loss_bbox: 0.6470, loss_iou: 0.9521, d0.loss_bbox: 0.7032, d0.loss_iou: 1.0241, d1.loss_bbox: 0.6792, d1.loss_iou: 0.9917, d2.loss_bbox: 0.6642, d2.loss_iou: 0.9713, d3.loss_bbox: 0.6534, d3.loss_iou: 0.9586, d4.loss_bbox: 0.6477, d4.loss_iou: 0.9529, loss: 12.9840, grad_norm: 14.0275 2022-10-26 23:30:24,417 - mmdet - INFO - Epoch [29][1400/1849] lr: 2.000e-04, eta: 3:46:35, time: 0.358, data_time: 0.008, memory: 4055, loss_contrastive: 3.1526, loss_bbox: 0.6470, loss_iou: 0.9482, d0.loss_bbox: 0.7043, d0.loss_iou: 1.0205, d1.loss_bbox: 0.6800, d1.loss_iou: 0.9885, d2.loss_bbox: 0.6638, d2.loss_iou: 0.9677, d3.loss_bbox: 0.6538, d3.loss_iou: 0.9554, d4.loss_bbox: 0.6478, d4.loss_iou: 0.9489, loss: 12.9784, grad_norm: 14.4514 2022-10-26 23:30:42,139 - mmdet - INFO - Epoch [29][1450/1849] lr: 2.000e-04, eta: 3:46:18, time: 0.355, data_time: 0.009, memory: 4055, loss_contrastive: 3.1516, loss_bbox: 0.6471, loss_iou: 0.9511, d0.loss_bbox: 0.7016, d0.loss_iou: 1.0223, d1.loss_bbox: 0.6784, d1.loss_iou: 0.9919, d2.loss_bbox: 0.6639, d2.loss_iou: 0.9727, d3.loss_bbox: 0.6533, d3.loss_iou: 0.9587, d4.loss_bbox: 0.6477, d4.loss_iou: 0.9521, loss: 12.9924, grad_norm: 14.4838 2022-10-26 23:30:59,654 - mmdet - INFO - Epoch [29][1500/1849] lr: 2.000e-04, eta: 3:46:00, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1443, loss_bbox: 0.6440, loss_iou: 0.9498, d0.loss_bbox: 0.6992, d0.loss_iou: 1.0214, d1.loss_bbox: 0.6759, d1.loss_iou: 0.9900, d2.loss_bbox: 0.6606, d2.loss_iou: 0.9699, d3.loss_bbox: 0.6497, d3.loss_iou: 0.9564, d4.loss_bbox: 0.6445, d4.loss_iou: 0.9504, loss: 12.9562, grad_norm: 13.1690 2022-10-26 23:31:17,508 - mmdet - INFO - Epoch [29][1550/1849] lr: 2.000e-04, eta: 3:45:44, time: 0.357, data_time: 0.009, memory: 4055, loss_contrastive: 3.1444, loss_bbox: 0.6418, loss_iou: 0.9461, d0.loss_bbox: 0.6980, d0.loss_iou: 1.0185, d1.loss_bbox: 0.6737, d1.loss_iou: 0.9866, d2.loss_bbox: 0.6587, d2.loss_iou: 0.9668, d3.loss_bbox: 0.6480, d3.loss_iou: 0.9536, d4.loss_bbox: 0.6423, d4.loss_iou: 0.9468, loss: 12.9254, grad_norm: 12.1046 2022-10-26 23:31:34,946 - mmdet - INFO - Epoch [29][1600/1849] lr: 2.000e-04, eta: 3:45:26, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1460, loss_bbox: 0.6459, loss_iou: 0.9514, d0.loss_bbox: 0.7003, d0.loss_iou: 1.0233, d1.loss_bbox: 0.6764, d1.loss_iou: 0.9911, d2.loss_bbox: 0.6624, d2.loss_iou: 0.9705, d3.loss_bbox: 0.6520, d3.loss_iou: 0.9582, d4.loss_bbox: 0.6463, d4.loss_iou: 0.9521, loss: 12.9759, grad_norm: 13.8325 2022-10-26 23:31:52,122 - mmdet - INFO - Epoch [29][1650/1849] lr: 2.000e-04, eta: 3:45:09, time: 0.343, data_time: 0.009, memory: 4055, loss_contrastive: 3.1428, loss_bbox: 0.6439, loss_iou: 0.9486, d0.loss_bbox: 0.7026, d0.loss_iou: 1.0230, d1.loss_bbox: 0.6774, d1.loss_iou: 0.9896, d2.loss_bbox: 0.6612, d2.loss_iou: 0.9674, d3.loss_bbox: 0.6505, d3.loss_iou: 0.9555, d4.loss_bbox: 0.6449, d4.loss_iou: 0.9494, loss: 12.9567, grad_norm: 14.9169 2022-10-26 23:32:09,914 - mmdet - INFO - Epoch [29][1700/1849] lr: 2.000e-04, eta: 3:44:52, time: 0.356, data_time: 0.009, memory: 4055, loss_contrastive: 3.1399, loss_bbox: 0.6454, loss_iou: 0.9462, d0.loss_bbox: 0.7027, d0.loss_iou: 1.0200, d1.loss_bbox: 0.6781, d1.loss_iou: 0.9874, d2.loss_bbox: 0.6629, d2.loss_iou: 0.9666, d3.loss_bbox: 0.6516, d3.loss_iou: 0.9538, d4.loss_bbox: 0.6458, d4.loss_iou: 0.9471, loss: 12.9473, grad_norm: 12.4077 2022-10-26 23:32:27,223 - mmdet - INFO - Epoch [29][1750/1849] lr: 2.000e-04, eta: 3:44:35, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1375, loss_bbox: 0.6451, loss_iou: 0.9495, d0.loss_bbox: 0.7009, d0.loss_iou: 1.0229, d1.loss_bbox: 0.6772, d1.loss_iou: 0.9907, d2.loss_bbox: 0.6622, d2.loss_iou: 0.9704, d3.loss_bbox: 0.6515, d3.loss_iou: 0.9572, d4.loss_bbox: 0.6456, d4.loss_iou: 0.9504, loss: 12.9611, grad_norm: 13.6138 2022-10-26 23:32:44,668 - mmdet - INFO - Epoch [29][1800/1849] lr: 2.000e-04, eta: 3:44:17, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1471, loss_bbox: 0.6460, loss_iou: 0.9486, d0.loss_bbox: 0.7017, d0.loss_iou: 1.0234, d1.loss_bbox: 0.6782, d1.loss_iou: 0.9902, d2.loss_bbox: 0.6633, d2.loss_iou: 0.9696, d3.loss_bbox: 0.6521, d3.loss_iou: 0.9567, d4.loss_bbox: 0.6464, d4.loss_iou: 0.9497, loss: 12.9729, grad_norm: 11.7480 2022-10-26 23:33:02,012 - mmdet - INFO - Saving checkpoint at 29 epochs 2022-10-26 23:33:23,722 - mmdet - INFO - Epoch [30][50/1849] lr: 2.000e-04, eta: 3:43:33, time: 0.410, data_time: 0.069, memory: 4055, loss_contrastive: 3.1424, loss_bbox: 0.6441, loss_iou: 0.9442, d0.loss_bbox: 0.7011, d0.loss_iou: 1.0158, d1.loss_bbox: 0.6760, d1.loss_iou: 0.9831, d2.loss_bbox: 0.6613, d2.loss_iou: 0.9626, d3.loss_bbox: 0.6505, d3.loss_iou: 0.9505, d4.loss_bbox: 0.6451, d4.loss_iou: 0.9446, loss: 12.9212, grad_norm: 14.3453 2022-10-26 23:33:41,106 - mmdet - INFO - Epoch [30][100/1849] lr: 2.000e-04, eta: 3:43:16, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1436, loss_bbox: 0.6444, loss_iou: 0.9474, d0.loss_bbox: 0.6995, d0.loss_iou: 1.0184, d1.loss_bbox: 0.6745, d1.loss_iou: 0.9869, d2.loss_bbox: 0.6610, d2.loss_iou: 0.9680, d3.loss_bbox: 0.6510, d3.loss_iou: 0.9548, d4.loss_bbox: 0.6450, d4.loss_iou: 0.9482, loss: 12.9429, grad_norm: 12.8998 2022-10-26 23:33:58,667 - mmdet - INFO - Epoch [30][150/1849] lr: 2.000e-04, eta: 3:42:59, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1553, loss_bbox: 0.6456, loss_iou: 0.9501, d0.loss_bbox: 0.7028, d0.loss_iou: 1.0227, d1.loss_bbox: 0.6783, d1.loss_iou: 0.9902, d2.loss_bbox: 0.6630, d2.loss_iou: 0.9698, d3.loss_bbox: 0.6525, d3.loss_iou: 0.9579, d4.loss_bbox: 0.6465, d4.loss_iou: 0.9508, loss: 12.9855, grad_norm: 12.3725 2022-10-26 23:34:15,959 - mmdet - INFO - Epoch [30][200/1849] lr: 2.000e-04, eta: 3:42:42, time: 0.346, data_time: 0.008, memory: 4055, loss_contrastive: 3.1547, loss_bbox: 0.6432, loss_iou: 0.9480, d0.loss_bbox: 0.7015, d0.loss_iou: 1.0244, d1.loss_bbox: 0.6758, d1.loss_iou: 0.9905, d2.loss_bbox: 0.6604, d2.loss_iou: 0.9693, d3.loss_bbox: 0.6493, d3.loss_iou: 0.9557, d4.loss_bbox: 0.6439, d4.loss_iou: 0.9485, loss: 12.9651, grad_norm: 13.1059 2022-10-26 23:34:33,428 - mmdet - INFO - Epoch [30][250/1849] lr: 2.000e-04, eta: 3:42:24, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1482, loss_bbox: 0.6474, loss_iou: 0.9503, d0.loss_bbox: 0.7038, d0.loss_iou: 1.0229, d1.loss_bbox: 0.6787, d1.loss_iou: 0.9905, d2.loss_bbox: 0.6646, d2.loss_iou: 0.9698, d3.loss_bbox: 0.6536, d3.loss_iou: 0.9575, d4.loss_bbox: 0.6480, d4.loss_iou: 0.9508, loss: 12.9861, grad_norm: 13.1650 2022-10-26 23:34:50,776 - mmdet - INFO - Epoch [30][300/1849] lr: 2.000e-04, eta: 3:42:07, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1460, loss_bbox: 0.6435, loss_iou: 0.9484, d0.loss_bbox: 0.7009, d0.loss_iou: 1.0222, d1.loss_bbox: 0.6752, d1.loss_iou: 0.9880, d2.loss_bbox: 0.6593, d2.loss_iou: 0.9678, d3.loss_bbox: 0.6492, d3.loss_iou: 0.9553, d4.loss_bbox: 0.6440, d4.loss_iou: 0.9492, loss: 12.9490, grad_norm: 13.7239 2022-10-26 23:35:08,409 - mmdet - INFO - Epoch [30][350/1849] lr: 2.000e-04, eta: 3:41:50, time: 0.353, data_time: 0.008, memory: 4055, loss_contrastive: 3.1513, loss_bbox: 0.6448, loss_iou: 0.9511, d0.loss_bbox: 0.7024, d0.loss_iou: 1.0253, d1.loss_bbox: 0.6775, d1.loss_iou: 0.9923, d2.loss_bbox: 0.6622, d2.loss_iou: 0.9713, d3.loss_bbox: 0.6514, d3.loss_iou: 0.9587, d4.loss_bbox: 0.6456, d4.loss_iou: 0.9519, loss: 12.9858, grad_norm: 13.6671 2022-10-26 23:35:25,977 - mmdet - INFO - Epoch [30][400/1849] lr: 2.000e-04, eta: 3:41:33, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1488, loss_bbox: 0.6471, loss_iou: 0.9484, d0.loss_bbox: 0.7045, d0.loss_iou: 1.0214, d1.loss_bbox: 0.6789, d1.loss_iou: 0.9888, d2.loss_bbox: 0.6639, d2.loss_iou: 0.9684, d3.loss_bbox: 0.6532, d3.loss_iou: 0.9550, d4.loss_bbox: 0.6477, d4.loss_iou: 0.9490, loss: 12.9752, grad_norm: 13.5373 2022-10-26 23:35:43,613 - mmdet - INFO - Epoch [30][450/1849] lr: 2.000e-04, eta: 3:41:16, time: 0.353, data_time: 0.008, memory: 4055, loss_contrastive: 3.1430, loss_bbox: 0.6439, loss_iou: 0.9486, d0.loss_bbox: 0.7019, d0.loss_iou: 1.0224, d1.loss_bbox: 0.6762, d1.loss_iou: 0.9897, d2.loss_bbox: 0.6613, d2.loss_iou: 0.9684, d3.loss_bbox: 0.6501, d3.loss_iou: 0.9563, d4.loss_bbox: 0.6444, d4.loss_iou: 0.9493, loss: 12.9555, grad_norm: 17.4700 2022-10-26 23:36:01,286 - mmdet - INFO - Epoch [30][500/1849] lr: 2.000e-04, eta: 3:40:59, time: 0.353, data_time: 0.008, memory: 4055, loss_contrastive: 3.1450, loss_bbox: 0.6433, loss_iou: 0.9484, d0.loss_bbox: 0.6996, d0.loss_iou: 1.0204, d1.loss_bbox: 0.6749, d1.loss_iou: 0.9891, d2.loss_bbox: 0.6605, d2.loss_iou: 0.9684, d3.loss_bbox: 0.6495, d3.loss_iou: 0.9559, d4.loss_bbox: 0.6438, d4.loss_iou: 0.9490, loss: 12.9479, grad_norm: 12.7431 2022-10-26 23:36:18,805 - mmdet - INFO - Epoch [30][550/1849] lr: 2.000e-04, eta: 3:40:42, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1473, loss_bbox: 0.6451, loss_iou: 0.9475, d0.loss_bbox: 0.7012, d0.loss_iou: 1.0203, d1.loss_bbox: 0.6762, d1.loss_iou: 0.9872, d2.loss_bbox: 0.6620, d2.loss_iou: 0.9678, d3.loss_bbox: 0.6518, d3.loss_iou: 0.9550, d4.loss_bbox: 0.6459, d4.loss_iou: 0.9485, loss: 12.9559, grad_norm: 13.8008 2022-10-26 23:36:36,222 - mmdet - INFO - Epoch [30][600/1849] lr: 2.000e-04, eta: 3:40:25, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1446, loss_bbox: 0.6414, loss_iou: 0.9477, d0.loss_bbox: 0.6973, d0.loss_iou: 1.0197, d1.loss_bbox: 0.6737, d1.loss_iou: 0.9884, d2.loss_bbox: 0.6579, d2.loss_iou: 0.9682, d3.loss_bbox: 0.6473, d3.loss_iou: 0.9552, d4.loss_bbox: 0.6421, d4.loss_iou: 0.9484, loss: 12.9318, grad_norm: 14.3407 2022-10-26 23:36:53,892 - mmdet - INFO - Epoch [30][650/1849] lr: 2.000e-04, eta: 3:40:08, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1384, loss_bbox: 0.6435, loss_iou: 0.9458, d0.loss_bbox: 0.6999, d0.loss_iou: 1.0181, d1.loss_bbox: 0.6763, d1.loss_iou: 0.9863, d2.loss_bbox: 0.6604, d2.loss_iou: 0.9663, d3.loss_bbox: 0.6502, d3.loss_iou: 0.9538, d4.loss_bbox: 0.6442, d4.loss_iou: 0.9468, loss: 12.9300, grad_norm: 13.6950 2022-10-26 23:37:11,426 - mmdet - INFO - Epoch [30][700/1849] lr: 2.000e-04, eta: 3:39:50, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1553, loss_bbox: 0.6426, loss_iou: 0.9431, d0.loss_bbox: 0.7001, d0.loss_iou: 1.0175, d1.loss_bbox: 0.6755, d1.loss_iou: 0.9832, d2.loss_bbox: 0.6588, d2.loss_iou: 0.9630, d3.loss_bbox: 0.6486, d3.loss_iou: 0.9502, d4.loss_bbox: 0.6431, d4.loss_iou: 0.9439, loss: 12.9250, grad_norm: 11.8233 2022-10-26 23:37:28,785 - mmdet - INFO - Epoch [30][750/1849] lr: 2.000e-04, eta: 3:39:33, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1497, loss_bbox: 0.6416, loss_iou: 0.9474, d0.loss_bbox: 0.6990, d0.loss_iou: 1.0201, d1.loss_bbox: 0.6745, d1.loss_iou: 0.9883, d2.loss_bbox: 0.6590, d2.loss_iou: 0.9673, d3.loss_bbox: 0.6483, d3.loss_iou: 0.9544, d4.loss_bbox: 0.6422, d4.loss_iou: 0.9483, loss: 12.9402, grad_norm: 13.8334 2022-10-26 23:37:46,052 - mmdet - INFO - Epoch [30][800/1849] lr: 2.000e-04, eta: 3:39:16, time: 0.345, data_time: 0.008, memory: 4055, loss_contrastive: 3.1437, loss_bbox: 0.6439, loss_iou: 0.9488, d0.loss_bbox: 0.7014, d0.loss_iou: 1.0236, d1.loss_bbox: 0.6752, d1.loss_iou: 0.9902, d2.loss_bbox: 0.6605, d2.loss_iou: 0.9697, d3.loss_bbox: 0.6502, d3.loss_iou: 0.9568, d4.loss_bbox: 0.6446, d4.loss_iou: 0.9499, loss: 12.9585, grad_norm: 13.5505 2022-10-26 23:38:03,546 - mmdet - INFO - Epoch [30][850/1849] lr: 2.000e-04, eta: 3:38:59, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1443, loss_bbox: 0.6470, loss_iou: 0.9483, d0.loss_bbox: 0.7054, d0.loss_iou: 1.0232, d1.loss_bbox: 0.6787, d1.loss_iou: 0.9894, d2.loss_bbox: 0.6634, d2.loss_iou: 0.9687, d3.loss_bbox: 0.6535, d3.loss_iou: 0.9561, d4.loss_bbox: 0.6480, d4.loss_iou: 0.9490, loss: 12.9749, grad_norm: 12.3538 2022-10-26 23:38:20,907 - mmdet - INFO - Epoch [30][900/1849] lr: 2.000e-04, eta: 3:38:41, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1455, loss_bbox: 0.6421, loss_iou: 0.9459, d0.loss_bbox: 0.6980, d0.loss_iou: 1.0187, d1.loss_bbox: 0.6745, d1.loss_iou: 0.9864, d2.loss_bbox: 0.6594, d2.loss_iou: 0.9663, d3.loss_bbox: 0.6483, d3.loss_iou: 0.9531, d4.loss_bbox: 0.6428, d4.loss_iou: 0.9466, loss: 12.9275, grad_norm: 13.4994 2022-10-26 23:38:38,215 - mmdet - INFO - Epoch [30][950/1849] lr: 2.000e-04, eta: 3:38:24, time: 0.346, data_time: 0.008, memory: 4055, loss_contrastive: 3.1453, loss_bbox: 0.6442, loss_iou: 0.9496, d0.loss_bbox: 0.7021, d0.loss_iou: 1.0218, d1.loss_bbox: 0.6770, d1.loss_iou: 0.9904, d2.loss_bbox: 0.6610, d2.loss_iou: 0.9700, d3.loss_bbox: 0.6511, d3.loss_iou: 0.9572, d4.loss_bbox: 0.6451, d4.loss_iou: 0.9504, loss: 12.9653, grad_norm: 12.5661 2022-10-26 23:38:55,588 - mmdet - INFO - Epoch [30][1000/1849] lr: 2.000e-04, eta: 3:38:07, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1391, loss_bbox: 0.6457, loss_iou: 0.9498, d0.loss_bbox: 0.7015, d0.loss_iou: 1.0238, d1.loss_bbox: 0.6779, d1.loss_iou: 0.9902, d2.loss_bbox: 0.6626, d2.loss_iou: 0.9705, d3.loss_bbox: 0.6518, d3.loss_iou: 0.9579, d4.loss_bbox: 0.6462, d4.loss_iou: 0.9507, loss: 12.9676, grad_norm: 11.8896 2022-10-26 23:39:13,076 - mmdet - INFO - Epoch [30][1050/1849] lr: 2.000e-04, eta: 3:37:50, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1480, loss_bbox: 0.6465, loss_iou: 0.9507, d0.loss_bbox: 0.7034, d0.loss_iou: 1.0236, d1.loss_bbox: 0.6790, d1.loss_iou: 0.9910, d2.loss_bbox: 0.6637, d2.loss_iou: 0.9717, d3.loss_bbox: 0.6530, d3.loss_iou: 0.9587, d4.loss_bbox: 0.6472, d4.loss_iou: 0.9513, loss: 12.9878, grad_norm: 13.7659 2022-10-26 23:39:30,591 - mmdet - INFO - Epoch [30][1100/1849] lr: 2.000e-04, eta: 3:37:33, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1399, loss_bbox: 0.6426, loss_iou: 0.9504, d0.loss_bbox: 0.7005, d0.loss_iou: 1.0224, d1.loss_bbox: 0.6749, d1.loss_iou: 0.9902, d2.loss_bbox: 0.6596, d2.loss_iou: 0.9709, d3.loss_bbox: 0.6486, d3.loss_iou: 0.9584, d4.loss_bbox: 0.6433, d4.loss_iou: 0.9513, loss: 12.9530, grad_norm: 12.8987 2022-10-26 23:39:48,276 - mmdet - INFO - Epoch [30][1150/1849] lr: 2.000e-04, eta: 3:37:16, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1474, loss_bbox: 0.6438, loss_iou: 0.9509, d0.loss_bbox: 0.7015, d0.loss_iou: 1.0238, d1.loss_bbox: 0.6760, d1.loss_iou: 0.9912, d2.loss_bbox: 0.6600, d2.loss_iou: 0.9702, d3.loss_bbox: 0.6497, d3.loss_iou: 0.9577, d4.loss_bbox: 0.6445, d4.loss_iou: 0.9516, loss: 12.9683, grad_norm: 14.5234 2022-10-26 23:40:05,744 - mmdet - INFO - Epoch [30][1200/1849] lr: 2.000e-04, eta: 3:36:58, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1558, loss_bbox: 0.6446, loss_iou: 0.9492, d0.loss_bbox: 0.7019, d0.loss_iou: 1.0216, d1.loss_bbox: 0.6771, d1.loss_iou: 0.9889, d2.loss_bbox: 0.6613, d2.loss_iou: 0.9692, d3.loss_bbox: 0.6509, d3.loss_iou: 0.9566, d4.loss_bbox: 0.6449, d4.loss_iou: 0.9498, loss: 12.9718, grad_norm: 11.8834 2022-10-26 23:40:22,975 - mmdet - INFO - Epoch [30][1250/1849] lr: 2.000e-04, eta: 3:36:41, time: 0.344, data_time: 0.008, memory: 4055, loss_contrastive: 3.1507, loss_bbox: 0.6432, loss_iou: 0.9471, d0.loss_bbox: 0.7005, d0.loss_iou: 1.0210, d1.loss_bbox: 0.6757, d1.loss_iou: 0.9879, d2.loss_bbox: 0.6597, d2.loss_iou: 0.9673, d3.loss_bbox: 0.6495, d3.loss_iou: 0.9546, d4.loss_bbox: 0.6436, d4.loss_iou: 0.9484, loss: 12.9492, grad_norm: 14.9845 2022-10-26 23:40:40,253 - mmdet - INFO - Epoch [30][1300/1849] lr: 2.000e-04, eta: 3:36:24, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1425, loss_bbox: 0.6427, loss_iou: 0.9463, d0.loss_bbox: 0.7017, d0.loss_iou: 1.0224, d1.loss_bbox: 0.6762, d1.loss_iou: 0.9892, d2.loss_bbox: 0.6600, d2.loss_iou: 0.9674, d3.loss_bbox: 0.6494, d3.loss_iou: 0.9545, d4.loss_bbox: 0.6436, d4.loss_iou: 0.9472, loss: 12.9433, grad_norm: 13.2249 2022-10-26 23:40:57,549 - mmdet - INFO - Epoch [30][1350/1849] lr: 2.000e-04, eta: 3:36:06, time: 0.346, data_time: 0.008, memory: 4055, loss_contrastive: 3.1447, loss_bbox: 0.6436, loss_iou: 0.9463, d0.loss_bbox: 0.7018, d0.loss_iou: 1.0198, d1.loss_bbox: 0.6772, d1.loss_iou: 0.9886, d2.loss_bbox: 0.6615, d2.loss_iou: 0.9671, d3.loss_bbox: 0.6508, d3.loss_iou: 0.9540, d4.loss_bbox: 0.6445, d4.loss_iou: 0.9476, loss: 12.9475, grad_norm: 12.1385 2022-10-26 23:41:14,910 - mmdet - INFO - Epoch [30][1400/1849] lr: 2.000e-04, eta: 3:35:49, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1444, loss_bbox: 0.6416, loss_iou: 0.9450, d0.loss_bbox: 0.6972, d0.loss_iou: 1.0196, d1.loss_bbox: 0.6733, d1.loss_iou: 0.9867, d2.loss_bbox: 0.6581, d2.loss_iou: 0.9655, d3.loss_bbox: 0.6470, d3.loss_iou: 0.9524, d4.loss_bbox: 0.6418, d4.loss_iou: 0.9455, loss: 12.9180, grad_norm: 13.4897 2022-10-26 23:41:32,234 - mmdet - INFO - Epoch [30][1450/1849] lr: 2.000e-04, eta: 3:35:32, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1446, loss_bbox: 0.6465, loss_iou: 0.9482, d0.loss_bbox: 0.7022, d0.loss_iou: 1.0203, d1.loss_bbox: 0.6777, d1.loss_iou: 0.9875, d2.loss_bbox: 0.6630, d2.loss_iou: 0.9679, d3.loss_bbox: 0.6521, d3.loss_iou: 0.9554, d4.loss_bbox: 0.6469, d4.loss_iou: 0.9490, loss: 12.9613, grad_norm: 15.8829 2022-10-26 23:41:49,730 - mmdet - INFO - Epoch [30][1500/1849] lr: 2.000e-04, eta: 3:35:15, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1442, loss_bbox: 0.6417, loss_iou: 0.9458, d0.loss_bbox: 0.6996, d0.loss_iou: 1.0201, d1.loss_bbox: 0.6746, d1.loss_iou: 0.9875, d2.loss_bbox: 0.6587, d2.loss_iou: 0.9664, d3.loss_bbox: 0.6477, d3.loss_iou: 0.9538, d4.loss_bbox: 0.6422, d4.loss_iou: 0.9471, loss: 12.9294, grad_norm: 12.6135 2022-10-26 23:42:07,151 - mmdet - INFO - Epoch [30][1550/1849] lr: 2.000e-04, eta: 3:34:57, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1493, loss_bbox: 0.6454, loss_iou: 0.9488, d0.loss_bbox: 0.7034, d0.loss_iou: 1.0241, d1.loss_bbox: 0.6780, d1.loss_iou: 0.9912, d2.loss_bbox: 0.6629, d2.loss_iou: 0.9692, d3.loss_bbox: 0.6527, d3.loss_iou: 0.9565, d4.loss_bbox: 0.6461, d4.loss_iou: 0.9499, loss: 12.9775, grad_norm: 12.7732 2022-10-26 23:42:24,763 - mmdet - INFO - Epoch [30][1600/1849] lr: 2.000e-04, eta: 3:34:40, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1426, loss_bbox: 0.6448, loss_iou: 0.9471, d0.loss_bbox: 0.7009, d0.loss_iou: 1.0193, d1.loss_bbox: 0.6772, d1.loss_iou: 0.9877, d2.loss_bbox: 0.6627, d2.loss_iou: 0.9673, d3.loss_bbox: 0.6513, d3.loss_iou: 0.9543, d4.loss_bbox: 0.6456, d4.loss_iou: 0.9479, loss: 12.9486, grad_norm: 11.1438 2022-10-26 23:42:41,915 - mmdet - INFO - Epoch [30][1650/1849] lr: 2.000e-04, eta: 3:34:23, time: 0.343, data_time: 0.008, memory: 4055, loss_contrastive: 3.1340, loss_bbox: 0.6429, loss_iou: 0.9508, d0.loss_bbox: 0.6983, d0.loss_iou: 1.0229, d1.loss_bbox: 0.6748, d1.loss_iou: 0.9910, d2.loss_bbox: 0.6589, d2.loss_iou: 0.9714, d3.loss_bbox: 0.6495, d3.loss_iou: 0.9582, d4.loss_bbox: 0.6437, d4.loss_iou: 0.9517, loss: 12.9482, grad_norm: 13.9015 2022-10-26 23:42:59,545 - mmdet - INFO - Epoch [30][1700/1849] lr: 2.000e-04, eta: 3:34:06, time: 0.353, data_time: 0.008, memory: 4055, loss_contrastive: 3.1340, loss_bbox: 0.6434, loss_iou: 0.9484, d0.loss_bbox: 0.7004, d0.loss_iou: 1.0213, d1.loss_bbox: 0.6751, d1.loss_iou: 0.9891, d2.loss_bbox: 0.6596, d2.loss_iou: 0.9687, d3.loss_bbox: 0.6496, d3.loss_iou: 0.9560, d4.loss_bbox: 0.6442, d4.loss_iou: 0.9493, loss: 12.9388, grad_norm: 12.9521 2022-10-26 23:43:17,012 - mmdet - INFO - Epoch [30][1750/1849] lr: 2.000e-04, eta: 3:33:49, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1415, loss_bbox: 0.6450, loss_iou: 0.9498, d0.loss_bbox: 0.7014, d0.loss_iou: 1.0226, d1.loss_bbox: 0.6768, d1.loss_iou: 0.9905, d2.loss_bbox: 0.6616, d2.loss_iou: 0.9703, d3.loss_bbox: 0.6509, d3.loss_iou: 0.9570, d4.loss_bbox: 0.6461, d4.loss_iou: 0.9505, loss: 12.9639, grad_norm: 16.4908 2022-10-26 23:43:34,337 - mmdet - INFO - Epoch [30][1800/1849] lr: 2.000e-04, eta: 3:33:31, time: 0.346, data_time: 0.008, memory: 4055, loss_contrastive: 3.1414, loss_bbox: 0.6424, loss_iou: 0.9460, d0.loss_bbox: 0.6988, d0.loss_iou: 1.0196, d1.loss_bbox: 0.6736, d1.loss_iou: 0.9870, d2.loss_bbox: 0.6586, d2.loss_iou: 0.9666, d3.loss_bbox: 0.6486, d3.loss_iou: 0.9532, d4.loss_bbox: 0.6429, d4.loss_iou: 0.9465, loss: 12.9253, grad_norm: 14.9666 2022-10-26 23:43:51,505 - mmdet - INFO - Saving checkpoint at 30 epochs 2022-10-26 23:44:13,635 - mmdet - INFO - Epoch [31][50/1849] lr: 2.000e-04, eta: 3:32:48, time: 0.419, data_time: 0.069, memory: 4055, loss_contrastive: 3.1449, loss_bbox: 0.6446, loss_iou: 0.9472, d0.loss_bbox: 0.7014, d0.loss_iou: 1.0187, d1.loss_bbox: 0.6772, d1.loss_iou: 0.9877, d2.loss_bbox: 0.6620, d2.loss_iou: 0.9681, d3.loss_bbox: 0.6505, d3.loss_iou: 0.9542, d4.loss_bbox: 0.6451, d4.loss_iou: 0.9480, loss: 12.9496, grad_norm: 11.7576 2022-10-26 23:44:31,134 - mmdet - INFO - Epoch [31][100/1849] lr: 2.000e-04, eta: 3:32:31, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1432, loss_bbox: 0.6437, loss_iou: 0.9530, d0.loss_bbox: 0.7001, d0.loss_iou: 1.0232, d1.loss_bbox: 0.6773, d1.loss_iou: 0.9930, d2.loss_bbox: 0.6611, d2.loss_iou: 0.9721, d3.loss_bbox: 0.6502, d3.loss_iou: 0.9598, d4.loss_bbox: 0.6442, d4.loss_iou: 0.9537, loss: 12.9744, grad_norm: 11.6610 2022-10-26 23:44:48,560 - mmdet - INFO - Epoch [31][150/1849] lr: 2.000e-04, eta: 3:32:14, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1425, loss_bbox: 0.6435, loss_iou: 0.9478, d0.loss_bbox: 0.6996, d0.loss_iou: 1.0203, d1.loss_bbox: 0.6752, d1.loss_iou: 0.9880, d2.loss_bbox: 0.6602, d2.loss_iou: 0.9687, d3.loss_bbox: 0.6493, d3.loss_iou: 0.9558, d4.loss_bbox: 0.6441, d4.loss_iou: 0.9490, loss: 12.9440, grad_norm: 13.0820 2022-10-26 23:45:05,987 - mmdet - INFO - Epoch [31][200/1849] lr: 2.000e-04, eta: 3:31:57, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1466, loss_bbox: 0.6447, loss_iou: 0.9493, d0.loss_bbox: 0.6998, d0.loss_iou: 1.0213, d1.loss_bbox: 0.6758, d1.loss_iou: 0.9906, d2.loss_bbox: 0.6608, d2.loss_iou: 0.9691, d3.loss_bbox: 0.6509, d3.loss_iou: 0.9569, d4.loss_bbox: 0.6451, d4.loss_iou: 0.9504, loss: 12.9611, grad_norm: 13.4859 2022-10-26 23:45:23,602 - mmdet - INFO - Epoch [31][250/1849] lr: 2.000e-04, eta: 3:31:40, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1456, loss_bbox: 0.6414, loss_iou: 0.9465, d0.loss_bbox: 0.6978, d0.loss_iou: 1.0193, d1.loss_bbox: 0.6744, d1.loss_iou: 0.9864, d2.loss_bbox: 0.6585, d2.loss_iou: 0.9662, d3.loss_bbox: 0.6475, d3.loss_iou: 0.9539, d4.loss_bbox: 0.6419, d4.loss_iou: 0.9473, loss: 12.9268, grad_norm: 15.0952 2022-10-26 23:45:41,362 - mmdet - INFO - Epoch [31][300/1849] lr: 2.000e-04, eta: 3:31:23, time: 0.355, data_time: 0.009, memory: 4055, loss_contrastive: 3.1436, loss_bbox: 0.6394, loss_iou: 0.9427, d0.loss_bbox: 0.6956, d0.loss_iou: 1.0169, d1.loss_bbox: 0.6719, d1.loss_iou: 0.9831, d2.loss_bbox: 0.6567, d2.loss_iou: 0.9627, d3.loss_bbox: 0.6461, d3.loss_iou: 0.9500, d4.loss_bbox: 0.6400, d4.loss_iou: 0.9436, loss: 12.8923, grad_norm: 13.1089 2022-10-26 23:45:58,803 - mmdet - INFO - Epoch [31][350/1849] lr: 2.000e-04, eta: 3:31:06, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1515, loss_bbox: 0.6460, loss_iou: 0.9501, d0.loss_bbox: 0.7039, d0.loss_iou: 1.0251, d1.loss_bbox: 0.6794, d1.loss_iou: 0.9920, d2.loss_bbox: 0.6634, d2.loss_iou: 0.9697, d3.loss_bbox: 0.6525, d3.loss_iou: 0.9574, d4.loss_bbox: 0.6467, d4.loss_iou: 0.9509, loss: 12.9886, grad_norm: 14.8686 2022-10-26 23:46:16,373 - mmdet - INFO - Epoch [31][400/1849] lr: 2.000e-04, eta: 3:30:48, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1390, loss_bbox: 0.6418, loss_iou: 0.9462, d0.loss_bbox: 0.6978, d0.loss_iou: 1.0194, d1.loss_bbox: 0.6737, d1.loss_iou: 0.9875, d2.loss_bbox: 0.6585, d2.loss_iou: 0.9661, d3.loss_bbox: 0.6480, d3.loss_iou: 0.9530, d4.loss_bbox: 0.6422, d4.loss_iou: 0.9471, loss: 12.9203, grad_norm: 13.2767 2022-10-26 23:46:34,031 - mmdet - INFO - Epoch [31][450/1849] lr: 2.000e-04, eta: 3:30:31, time: 0.353, data_time: 0.010, memory: 4055, loss_contrastive: 3.1445, loss_bbox: 0.6414, loss_iou: 0.9461, d0.loss_bbox: 0.6979, d0.loss_iou: 1.0200, d1.loss_bbox: 0.6733, d1.loss_iou: 0.9866, d2.loss_bbox: 0.6580, d2.loss_iou: 0.9661, d3.loss_bbox: 0.6473, d3.loss_iou: 0.9538, d4.loss_bbox: 0.6417, d4.loss_iou: 0.9468, loss: 12.9235, grad_norm: 14.5737 2022-10-26 23:46:51,674 - mmdet - INFO - Epoch [31][500/1849] lr: 2.000e-04, eta: 3:30:14, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1450, loss_bbox: 0.6426, loss_iou: 0.9485, d0.loss_bbox: 0.6997, d0.loss_iou: 1.0214, d1.loss_bbox: 0.6753, d1.loss_iou: 0.9889, d2.loss_bbox: 0.6598, d2.loss_iou: 0.9687, d3.loss_bbox: 0.6493, d3.loss_iou: 0.9552, d4.loss_bbox: 0.6432, d4.loss_iou: 0.9493, loss: 12.9469, grad_norm: 13.6573 2022-10-26 23:47:09,258 - mmdet - INFO - Epoch [31][550/1849] lr: 2.000e-04, eta: 3:29:57, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1374, loss_bbox: 0.6407, loss_iou: 0.9448, d0.loss_bbox: 0.6986, d0.loss_iou: 1.0196, d1.loss_bbox: 0.6727, d1.loss_iou: 0.9852, d2.loss_bbox: 0.6570, d2.loss_iou: 0.9648, d3.loss_bbox: 0.6469, d3.loss_iou: 0.9521, d4.loss_bbox: 0.6415, d4.loss_iou: 0.9458, loss: 12.9073, grad_norm: 16.7999 2022-10-26 23:47:26,931 - mmdet - INFO - Epoch [31][600/1849] lr: 2.000e-04, eta: 3:29:40, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1367, loss_bbox: 0.6387, loss_iou: 0.9435, d0.loss_bbox: 0.6956, d0.loss_iou: 1.0169, d1.loss_bbox: 0.6706, d1.loss_iou: 0.9838, d2.loss_bbox: 0.6550, d2.loss_iou: 0.9631, d3.loss_bbox: 0.6450, d3.loss_iou: 0.9507, d4.loss_bbox: 0.6392, d4.loss_iou: 0.9442, loss: 12.8828, grad_norm: 14.0328 2022-10-26 23:47:44,525 - mmdet - INFO - Epoch [31][650/1849] lr: 2.000e-04, eta: 3:29:23, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1422, loss_bbox: 0.6398, loss_iou: 0.9441, d0.loss_bbox: 0.6976, d0.loss_iou: 1.0175, d1.loss_bbox: 0.6729, d1.loss_iou: 0.9854, d2.loss_bbox: 0.6576, d2.loss_iou: 0.9644, d3.loss_bbox: 0.6464, d3.loss_iou: 0.9513, d4.loss_bbox: 0.6403, d4.loss_iou: 0.9446, loss: 12.9041, grad_norm: 16.7443 2022-10-26 23:48:01,970 - mmdet - INFO - Epoch [31][700/1849] lr: 2.000e-04, eta: 3:29:06, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1458, loss_bbox: 0.6404, loss_iou: 0.9452, d0.loss_bbox: 0.6988, d0.loss_iou: 1.0205, d1.loss_bbox: 0.6738, d1.loss_iou: 0.9873, d2.loss_bbox: 0.6582, d2.loss_iou: 0.9669, d3.loss_bbox: 0.6471, d3.loss_iou: 0.9534, d4.loss_bbox: 0.6414, d4.loss_iou: 0.9462, loss: 12.9250, grad_norm: 14.4267 2022-10-26 23:48:19,551 - mmdet - INFO - Epoch [31][750/1849] lr: 2.000e-04, eta: 3:28:49, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1393, loss_bbox: 0.6409, loss_iou: 0.9433, d0.loss_bbox: 0.6973, d0.loss_iou: 1.0158, d1.loss_bbox: 0.6741, d1.loss_iou: 0.9852, d2.loss_bbox: 0.6577, d2.loss_iou: 0.9636, d3.loss_bbox: 0.6473, d3.loss_iou: 0.9503, d4.loss_bbox: 0.6415, d4.loss_iou: 0.9441, loss: 12.9004, grad_norm: 13.3189 2022-10-26 23:48:37,230 - mmdet - INFO - Epoch [31][800/1849] lr: 2.000e-04, eta: 3:28:32, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1379, loss_bbox: 0.6419, loss_iou: 0.9430, d0.loss_bbox: 0.6957, d0.loss_iou: 1.0158, d1.loss_bbox: 0.6730, d1.loss_iou: 0.9837, d2.loss_bbox: 0.6588, d2.loss_iou: 0.9637, d3.loss_bbox: 0.6485, d3.loss_iou: 0.9508, d4.loss_bbox: 0.6425, d4.loss_iou: 0.9444, loss: 12.8997, grad_norm: 14.1086 2022-10-26 23:48:54,642 - mmdet - INFO - Epoch [31][850/1849] lr: 2.000e-04, eta: 3:28:15, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1461, loss_bbox: 0.6440, loss_iou: 0.9458, d0.loss_bbox: 0.7001, d0.loss_iou: 1.0172, d1.loss_bbox: 0.6762, d1.loss_iou: 0.9862, d2.loss_bbox: 0.6610, d2.loss_iou: 0.9661, d3.loss_bbox: 0.6502, d3.loss_iou: 0.9531, d4.loss_bbox: 0.6444, d4.loss_iou: 0.9468, loss: 12.9372, grad_norm: 13.5831 2022-10-26 23:49:12,097 - mmdet - INFO - Epoch [31][900/1849] lr: 2.000e-04, eta: 3:27:57, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1366, loss_bbox: 0.6434, loss_iou: 0.9516, d0.loss_bbox: 0.6981, d0.loss_iou: 1.0235, d1.loss_bbox: 0.6750, d1.loss_iou: 0.9915, d2.loss_bbox: 0.6605, d2.loss_iou: 0.9720, d3.loss_bbox: 0.6493, d3.loss_iou: 0.9585, d4.loss_bbox: 0.6439, d4.loss_iou: 0.9523, loss: 12.9561, grad_norm: 15.8867 2022-10-26 23:49:29,720 - mmdet - INFO - Epoch [31][950/1849] lr: 2.000e-04, eta: 3:27:40, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1399, loss_bbox: 0.6415, loss_iou: 0.9469, d0.loss_bbox: 0.6963, d0.loss_iou: 1.0185, d1.loss_bbox: 0.6742, d1.loss_iou: 0.9874, d2.loss_bbox: 0.6585, d2.loss_iou: 0.9677, d3.loss_bbox: 0.6478, d3.loss_iou: 0.9548, d4.loss_bbox: 0.6420, d4.loss_iou: 0.9479, loss: 12.9234, grad_norm: 15.2465 2022-10-26 23:49:47,456 - mmdet - INFO - Epoch [31][1000/1849] lr: 2.000e-04, eta: 3:27:23, time: 0.355, data_time: 0.009, memory: 4055, loss_contrastive: 3.1450, loss_bbox: 0.6414, loss_iou: 0.9455, d0.loss_bbox: 0.6988, d0.loss_iou: 1.0185, d1.loss_bbox: 0.6747, d1.loss_iou: 0.9862, d2.loss_bbox: 0.6592, d2.loss_iou: 0.9658, d3.loss_bbox: 0.6480, d3.loss_iou: 0.9526, d4.loss_bbox: 0.6422, d4.loss_iou: 0.9461, loss: 12.9240, grad_norm: 12.9147 2022-10-26 23:50:04,969 - mmdet - INFO - Epoch [31][1050/1849] lr: 2.000e-04, eta: 3:27:06, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1347, loss_bbox: 0.6408, loss_iou: 0.9443, d0.loss_bbox: 0.6974, d0.loss_iou: 1.0167, d1.loss_bbox: 0.6740, d1.loss_iou: 0.9858, d2.loss_bbox: 0.6587, d2.loss_iou: 0.9644, d3.loss_bbox: 0.6476, d3.loss_iou: 0.9522, d4.loss_bbox: 0.6415, d4.loss_iou: 0.9452, loss: 12.9033, grad_norm: 13.7177 2022-10-26 23:50:22,491 - mmdet - INFO - Epoch [31][1100/1849] lr: 2.000e-04, eta: 3:26:49, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1459, loss_bbox: 0.6439, loss_iou: 0.9475, d0.loss_bbox: 0.7001, d0.loss_iou: 1.0204, d1.loss_bbox: 0.6754, d1.loss_iou: 0.9883, d2.loss_bbox: 0.6606, d2.loss_iou: 0.9684, d3.loss_bbox: 0.6497, d3.loss_iou: 0.9552, d4.loss_bbox: 0.6446, d4.loss_iou: 0.9484, loss: 12.9483, grad_norm: 15.5925 2022-10-26 23:50:39,953 - mmdet - INFO - Epoch [31][1150/1849] lr: 2.000e-04, eta: 3:26:32, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1422, loss_bbox: 0.6402, loss_iou: 0.9457, d0.loss_bbox: 0.6957, d0.loss_iou: 1.0179, d1.loss_bbox: 0.6718, d1.loss_iou: 0.9854, d2.loss_bbox: 0.6573, d2.loss_iou: 0.9654, d3.loss_bbox: 0.6466, d3.loss_iou: 0.9533, d4.loss_bbox: 0.6408, d4.loss_iou: 0.9465, loss: 12.9088, grad_norm: 14.1281 2022-10-26 23:50:57,828 - mmdet - INFO - Epoch [31][1200/1849] lr: 2.000e-04, eta: 3:26:15, time: 0.357, data_time: 0.009, memory: 4055, loss_contrastive: 3.1498, loss_bbox: 0.6423, loss_iou: 0.9474, d0.loss_bbox: 0.7000, d0.loss_iou: 1.0223, d1.loss_bbox: 0.6756, d1.loss_iou: 0.9892, d2.loss_bbox: 0.6598, d2.loss_iou: 0.9687, d3.loss_bbox: 0.6497, d3.loss_iou: 0.9550, d4.loss_bbox: 0.6432, d4.loss_iou: 0.9480, loss: 12.9510, grad_norm: 14.3497 2022-10-26 23:51:15,345 - mmdet - INFO - Epoch [31][1250/1849] lr: 2.000e-04, eta: 3:25:58, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1526, loss_bbox: 0.6469, loss_iou: 0.9505, d0.loss_bbox: 0.7048, d0.loss_iou: 1.0256, d1.loss_bbox: 0.6791, d1.loss_iou: 0.9926, d2.loss_bbox: 0.6640, d2.loss_iou: 0.9712, d3.loss_bbox: 0.6529, d3.loss_iou: 0.9577, d4.loss_bbox: 0.6473, d4.loss_iou: 0.9514, loss: 12.9967, grad_norm: 16.7438 2022-10-26 23:51:32,823 - mmdet - INFO - Epoch [31][1300/1849] lr: 2.000e-04, eta: 3:25:41, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1445, loss_bbox: 0.6462, loss_iou: 0.9454, d0.loss_bbox: 0.7049, d0.loss_iou: 1.0191, d1.loss_bbox: 0.6792, d1.loss_iou: 0.9858, d2.loss_bbox: 0.6634, d2.loss_iou: 0.9651, d3.loss_bbox: 0.6527, d3.loss_iou: 0.9528, d4.loss_bbox: 0.6466, d4.loss_iou: 0.9465, loss: 12.9523, grad_norm: 13.4014 2022-10-26 23:51:50,380 - mmdet - INFO - Epoch [31][1350/1849] lr: 2.000e-04, eta: 3:25:23, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1396, loss_bbox: 0.6424, loss_iou: 0.9459, d0.loss_bbox: 0.6996, d0.loss_iou: 1.0201, d1.loss_bbox: 0.6743, d1.loss_iou: 0.9869, d2.loss_bbox: 0.6589, d2.loss_iou: 0.9657, d3.loss_bbox: 0.6483, d3.loss_iou: 0.9527, d4.loss_bbox: 0.6430, d4.loss_iou: 0.9468, loss: 12.9243, grad_norm: 12.7034 2022-10-26 23:52:07,871 - mmdet - INFO - Epoch [31][1400/1849] lr: 2.000e-04, eta: 3:25:06, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1482, loss_bbox: 0.6441, loss_iou: 0.9481, d0.loss_bbox: 0.7001, d0.loss_iou: 1.0210, d1.loss_bbox: 0.6758, d1.loss_iou: 0.9881, d2.loss_bbox: 0.6606, d2.loss_iou: 0.9682, d3.loss_bbox: 0.6501, d3.loss_iou: 0.9555, d4.loss_bbox: 0.6446, d4.loss_iou: 0.9490, loss: 12.9535, grad_norm: 15.7088 2022-10-26 23:52:25,430 - mmdet - INFO - Epoch [31][1450/1849] lr: 2.000e-04, eta: 3:24:49, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1530, loss_bbox: 0.6428, loss_iou: 0.9454, d0.loss_bbox: 0.6977, d0.loss_iou: 1.0170, d1.loss_bbox: 0.6735, d1.loss_iou: 0.9857, d2.loss_bbox: 0.6595, d2.loss_iou: 0.9654, d3.loss_bbox: 0.6487, d3.loss_iou: 0.9530, d4.loss_bbox: 0.6432, d4.loss_iou: 0.9463, loss: 12.9311, grad_norm: 12.4698 2022-10-26 23:52:42,836 - mmdet - INFO - Epoch [31][1500/1849] lr: 2.000e-04, eta: 3:24:32, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1471, loss_bbox: 0.6461, loss_iou: 0.9481, d0.loss_bbox: 0.7021, d0.loss_iou: 1.0210, d1.loss_bbox: 0.6784, d1.loss_iou: 0.9896, d2.loss_bbox: 0.6633, d2.loss_iou: 0.9696, d3.loss_bbox: 0.6521, d3.loss_iou: 0.9563, d4.loss_bbox: 0.6465, d4.loss_iou: 0.9490, loss: 12.9693, grad_norm: 13.5598 2022-10-26 23:53:00,186 - mmdet - INFO - Epoch [31][1550/1849] lr: 2.000e-04, eta: 3:24:15, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1518, loss_bbox: 0.6441, loss_iou: 0.9468, d0.loss_bbox: 0.7001, d0.loss_iou: 1.0197, d1.loss_bbox: 0.6762, d1.loss_iou: 0.9872, d2.loss_bbox: 0.6605, d2.loss_iou: 0.9669, d3.loss_bbox: 0.6504, d3.loss_iou: 0.9543, d4.loss_bbox: 0.6445, d4.loss_iou: 0.9478, loss: 12.9501, grad_norm: 12.5938 2022-10-26 23:53:17,734 - mmdet - INFO - Epoch [31][1600/1849] lr: 2.000e-04, eta: 3:23:57, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1407, loss_bbox: 0.6425, loss_iou: 0.9462, d0.loss_bbox: 0.6999, d0.loss_iou: 1.0190, d1.loss_bbox: 0.6749, d1.loss_iou: 0.9861, d2.loss_bbox: 0.6588, d2.loss_iou: 0.9655, d3.loss_bbox: 0.6484, d3.loss_iou: 0.9534, d4.loss_bbox: 0.6432, d4.loss_iou: 0.9468, loss: 12.9254, grad_norm: 14.6391 2022-10-26 23:53:35,292 - mmdet - INFO - Epoch [31][1650/1849] lr: 2.000e-04, eta: 3:23:40, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1435, loss_bbox: 0.6417, loss_iou: 0.9416, d0.loss_bbox: 0.6987, d0.loss_iou: 1.0152, d1.loss_bbox: 0.6732, d1.loss_iou: 0.9816, d2.loss_bbox: 0.6579, d2.loss_iou: 0.9616, d3.loss_bbox: 0.6478, d3.loss_iou: 0.9495, d4.loss_bbox: 0.6424, d4.loss_iou: 0.9424, loss: 12.8972, grad_norm: 15.8419 2022-10-26 23:53:52,876 - mmdet - INFO - Epoch [31][1700/1849] lr: 2.000e-04, eta: 3:23:23, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1405, loss_bbox: 0.6409, loss_iou: 0.9454, d0.loss_bbox: 0.6996, d0.loss_iou: 1.0184, d1.loss_bbox: 0.6742, d1.loss_iou: 0.9868, d2.loss_bbox: 0.6590, d2.loss_iou: 0.9662, d3.loss_bbox: 0.6479, d3.loss_iou: 0.9541, d4.loss_bbox: 0.6418, d4.loss_iou: 0.9463, loss: 12.9209, grad_norm: 15.4302 2022-10-26 23:54:10,614 - mmdet - INFO - Epoch [31][1750/1849] lr: 2.000e-04, eta: 3:23:06, time: 0.355, data_time: 0.010, memory: 4055, loss_contrastive: 3.1389, loss_bbox: 0.6409, loss_iou: 0.9431, d0.loss_bbox: 0.6990, d0.loss_iou: 1.0167, d1.loss_bbox: 0.6734, d1.loss_iou: 0.9842, d2.loss_bbox: 0.6579, d2.loss_iou: 0.9631, d3.loss_bbox: 0.6473, d3.loss_iou: 0.9507, d4.loss_bbox: 0.6418, d4.loss_iou: 0.9442, loss: 12.9014, grad_norm: 12.8179 2022-10-26 23:54:28,365 - mmdet - INFO - Epoch [31][1800/1849] lr: 2.000e-04, eta: 3:22:49, time: 0.355, data_time: 0.010, memory: 4055, loss_contrastive: 3.1363, loss_bbox: 0.6400, loss_iou: 0.9417, d0.loss_bbox: 0.6976, d0.loss_iou: 1.0169, d1.loss_bbox: 0.6725, d1.loss_iou: 0.9830, d2.loss_bbox: 0.6566, d2.loss_iou: 0.9622, d3.loss_bbox: 0.6461, d3.loss_iou: 0.9494, d4.loss_bbox: 0.6406, d4.loss_iou: 0.9428, loss: 12.8856, grad_norm: 14.8028 2022-10-26 23:54:45,864 - mmdet - INFO - Saving checkpoint at 31 epochs 2022-10-26 23:55:07,936 - mmdet - INFO - Epoch [32][50/1849] lr: 2.000e-04, eta: 3:22:07, time: 0.416, data_time: 0.069, memory: 4055, loss_contrastive: 3.1393, loss_bbox: 0.6400, loss_iou: 0.9411, d0.loss_bbox: 0.6983, d0.loss_iou: 1.0159, d1.loss_bbox: 0.6728, d1.loss_iou: 0.9822, d2.loss_bbox: 0.6573, d2.loss_iou: 0.9621, d3.loss_bbox: 0.6463, d3.loss_iou: 0.9491, d4.loss_bbox: 0.6408, d4.loss_iou: 0.9419, loss: 12.8873, grad_norm: 14.3555 2022-10-26 23:55:25,101 - mmdet - INFO - Epoch [32][100/1849] lr: 2.000e-04, eta: 3:21:49, time: 0.343, data_time: 0.009, memory: 4055, loss_contrastive: 3.1400, loss_bbox: 0.6372, loss_iou: 0.9419, d0.loss_bbox: 0.6951, d0.loss_iou: 1.0179, d1.loss_bbox: 0.6683, d1.loss_iou: 0.9837, d2.loss_bbox: 0.6538, d2.loss_iou: 0.9625, d3.loss_bbox: 0.6433, d3.loss_iou: 0.9498, d4.loss_bbox: 0.6379, d4.loss_iou: 0.9426, loss: 12.8740, grad_norm: 12.1601 2022-10-26 23:55:42,619 - mmdet - INFO - Epoch [32][150/1849] lr: 2.000e-04, eta: 3:21:32, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1493, loss_bbox: 0.6421, loss_iou: 0.9451, d0.loss_bbox: 0.6983, d0.loss_iou: 1.0184, d1.loss_bbox: 0.6743, d1.loss_iou: 0.9851, d2.loss_bbox: 0.6593, d2.loss_iou: 0.9652, d3.loss_bbox: 0.6474, d3.loss_iou: 0.9523, d4.loss_bbox: 0.6425, d4.loss_iou: 0.9456, loss: 12.9249, grad_norm: 11.9910 2022-10-26 23:55:59,927 - mmdet - INFO - Epoch [32][200/1849] lr: 2.000e-04, eta: 3:21:15, time: 0.346, data_time: 0.008, memory: 4055, loss_contrastive: 3.1453, loss_bbox: 0.6407, loss_iou: 0.9459, d0.loss_bbox: 0.6965, d0.loss_iou: 1.0184, d1.loss_bbox: 0.6726, d1.loss_iou: 0.9865, d2.loss_bbox: 0.6572, d2.loss_iou: 0.9654, d3.loss_bbox: 0.6469, d3.loss_iou: 0.9532, d4.loss_bbox: 0.6415, d4.loss_iou: 0.9469, loss: 12.9169, grad_norm: 12.8255 2022-10-26 23:56:17,940 - mmdet - INFO - Epoch [32][250/1849] lr: 2.000e-04, eta: 3:20:58, time: 0.360, data_time: 0.009, memory: 4055, loss_contrastive: 3.1366, loss_bbox: 0.6406, loss_iou: 0.9450, d0.loss_bbox: 0.6967, d0.loss_iou: 1.0179, d1.loss_bbox: 0.6729, d1.loss_iou: 0.9858, d2.loss_bbox: 0.6573, d2.loss_iou: 0.9650, d3.loss_bbox: 0.6471, d3.loss_iou: 0.9516, d4.loss_bbox: 0.6412, d4.loss_iou: 0.9457, loss: 12.9033, grad_norm: 14.7772 2022-10-26 23:56:35,160 - mmdet - INFO - Epoch [32][300/1849] lr: 2.000e-04, eta: 3:20:41, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1410, loss_bbox: 0.6440, loss_iou: 0.9413, d0.loss_bbox: 0.6998, d0.loss_iou: 1.0122, d1.loss_bbox: 0.6764, d1.loss_iou: 0.9808, d2.loss_bbox: 0.6614, d2.loss_iou: 0.9617, d3.loss_bbox: 0.6504, d3.loss_iou: 0.9485, d4.loss_bbox: 0.6447, d4.loss_iou: 0.9418, loss: 12.9039, grad_norm: 14.2576 2022-10-26 23:56:52,572 - mmdet - INFO - Epoch [32][350/1849] lr: 2.000e-04, eta: 3:20:24, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1504, loss_bbox: 0.6463, loss_iou: 0.9451, d0.loss_bbox: 0.7029, d0.loss_iou: 1.0183, d1.loss_bbox: 0.6773, d1.loss_iou: 0.9842, d2.loss_bbox: 0.6628, d2.loss_iou: 0.9649, d3.loss_bbox: 0.6525, d3.loss_iou: 0.9522, d4.loss_bbox: 0.6470, d4.loss_iou: 0.9456, loss: 12.9495, grad_norm: 13.5433 2022-10-26 23:57:10,184 - mmdet - INFO - Epoch [32][400/1849] lr: 2.000e-04, eta: 3:20:06, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1408, loss_bbox: 0.6385, loss_iou: 0.9465, d0.loss_bbox: 0.6961, d0.loss_iou: 1.0208, d1.loss_bbox: 0.6709, d1.loss_iou: 0.9878, d2.loss_bbox: 0.6558, d2.loss_iou: 0.9677, d3.loss_bbox: 0.6447, d3.loss_iou: 0.9542, d4.loss_bbox: 0.6392, d4.loss_iou: 0.9477, loss: 12.9104, grad_norm: 13.4454 2022-10-26 23:57:27,617 - mmdet - INFO - Epoch [32][450/1849] lr: 2.000e-04, eta: 3:19:49, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1451, loss_bbox: 0.6460, loss_iou: 0.9474, d0.loss_bbox: 0.7036, d0.loss_iou: 1.0218, d1.loss_bbox: 0.6780, d1.loss_iou: 0.9891, d2.loss_bbox: 0.6633, d2.loss_iou: 0.9682, d3.loss_bbox: 0.6520, d3.loss_iou: 0.9553, d4.loss_bbox: 0.6466, d4.loss_iou: 0.9484, loss: 12.9648, grad_norm: 13.8155 2022-10-26 23:57:44,885 - mmdet - INFO - Epoch [32][500/1849] lr: 2.000e-04, eta: 3:19:32, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1355, loss_bbox: 0.6421, loss_iou: 0.9462, d0.loss_bbox: 0.6991, d0.loss_iou: 1.0173, d1.loss_bbox: 0.6751, d1.loss_iou: 0.9867, d2.loss_bbox: 0.6589, d2.loss_iou: 0.9664, d3.loss_bbox: 0.6478, d3.loss_iou: 0.9534, d4.loss_bbox: 0.6428, d4.loss_iou: 0.9470, loss: 12.9182, grad_norm: 13.7772 2022-10-26 23:58:02,301 - mmdet - INFO - Epoch [32][550/1849] lr: 2.000e-04, eta: 3:19:15, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1351, loss_bbox: 0.6422, loss_iou: 0.9470, d0.loss_bbox: 0.7001, d0.loss_iou: 1.0218, d1.loss_bbox: 0.6740, d1.loss_iou: 0.9893, d2.loss_bbox: 0.6590, d2.loss_iou: 0.9677, d3.loss_bbox: 0.6480, d3.loss_iou: 0.9546, d4.loss_bbox: 0.6426, d4.loss_iou: 0.9481, loss: 12.9296, grad_norm: 13.9154 2022-10-26 23:58:19,723 - mmdet - INFO - Epoch [32][600/1849] lr: 2.000e-04, eta: 3:18:58, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1421, loss_bbox: 0.6395, loss_iou: 0.9446, d0.loss_bbox: 0.6965, d0.loss_iou: 1.0175, d1.loss_bbox: 0.6724, d1.loss_iou: 0.9848, d2.loss_bbox: 0.6566, d2.loss_iou: 0.9640, d3.loss_bbox: 0.6463, d3.loss_iou: 0.9514, d4.loss_bbox: 0.6403, d4.loss_iou: 0.9452, loss: 12.9014, grad_norm: 13.0718 2022-10-26 23:58:37,842 - mmdet - INFO - Epoch [32][650/1849] lr: 2.000e-04, eta: 3:18:41, time: 0.362, data_time: 0.009, memory: 4055, loss_contrastive: 3.1444, loss_bbox: 0.6427, loss_iou: 0.9458, d0.loss_bbox: 0.6992, d0.loss_iou: 1.0193, d1.loss_bbox: 0.6758, d1.loss_iou: 0.9857, d2.loss_bbox: 0.6593, d2.loss_iou: 0.9660, d3.loss_bbox: 0.6492, d3.loss_iou: 0.9534, d4.loss_bbox: 0.6437, d4.loss_iou: 0.9469, loss: 12.9315, grad_norm: 12.3713 2022-10-26 23:58:55,127 - mmdet - INFO - Epoch [32][700/1849] lr: 2.000e-04, eta: 3:18:24, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1361, loss_bbox: 0.6394, loss_iou: 0.9460, d0.loss_bbox: 0.6965, d0.loss_iou: 1.0205, d1.loss_bbox: 0.6712, d1.loss_iou: 0.9862, d2.loss_bbox: 0.6566, d2.loss_iou: 0.9663, d3.loss_bbox: 0.6460, d3.loss_iou: 0.9532, d4.loss_bbox: 0.6402, d4.loss_iou: 0.9468, loss: 12.9048, grad_norm: 13.7251 2022-10-26 23:59:12,464 - mmdet - INFO - Epoch [32][750/1849] lr: 2.000e-04, eta: 3:18:06, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1435, loss_bbox: 0.6390, loss_iou: 0.9421, d0.loss_bbox: 0.6988, d0.loss_iou: 1.0185, d1.loss_bbox: 0.6732, d1.loss_iou: 0.9854, d2.loss_bbox: 0.6572, d2.loss_iou: 0.9641, d3.loss_bbox: 0.6461, d3.loss_iou: 0.9503, d4.loss_bbox: 0.6397, d4.loss_iou: 0.9431, loss: 12.9011, grad_norm: 14.8922 2022-10-26 23:59:29,969 - mmdet - INFO - Epoch [32][800/1849] lr: 2.000e-04, eta: 3:17:49, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1435, loss_bbox: 0.6434, loss_iou: 0.9450, d0.loss_bbox: 0.7012, d0.loss_iou: 1.0185, d1.loss_bbox: 0.6753, d1.loss_iou: 0.9861, d2.loss_bbox: 0.6611, d2.loss_iou: 0.9664, d3.loss_bbox: 0.6500, d3.loss_iou: 0.9531, d4.loss_bbox: 0.6438, d4.loss_iou: 0.9461, loss: 12.9334, grad_norm: 13.5965 2022-10-26 23:59:47,270 - mmdet - INFO - Epoch [32][850/1849] lr: 2.000e-04, eta: 3:17:32, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1482, loss_bbox: 0.6446, loss_iou: 0.9496, d0.loss_bbox: 0.7011, d0.loss_iou: 1.0242, d1.loss_bbox: 0.6765, d1.loss_iou: 0.9911, d2.loss_bbox: 0.6613, d2.loss_iou: 0.9696, d3.loss_bbox: 0.6509, d3.loss_iou: 0.9573, d4.loss_bbox: 0.6451, d4.loss_iou: 0.9507, loss: 12.9701, grad_norm: 14.4323 2022-10-27 00:00:04,631 - mmdet - INFO - Epoch [32][900/1849] lr: 2.000e-04, eta: 3:17:15, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1419, loss_bbox: 0.6389, loss_iou: 0.9466, d0.loss_bbox: 0.6975, d0.loss_iou: 1.0223, d1.loss_bbox: 0.6716, d1.loss_iou: 0.9882, d2.loss_bbox: 0.6565, d2.loss_iou: 0.9685, d3.loss_bbox: 0.6459, d3.loss_iou: 0.9551, d4.loss_bbox: 0.6395, d4.loss_iou: 0.9474, loss: 12.9199, grad_norm: 13.7326 2022-10-27 00:00:21,904 - mmdet - INFO - Epoch [32][950/1849] lr: 2.000e-04, eta: 3:16:57, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1380, loss_bbox: 0.6403, loss_iou: 0.9449, d0.loss_bbox: 0.6983, d0.loss_iou: 1.0183, d1.loss_bbox: 0.6737, d1.loss_iou: 0.9867, d2.loss_bbox: 0.6574, d2.loss_iou: 0.9649, d3.loss_bbox: 0.6467, d3.loss_iou: 0.9520, d4.loss_bbox: 0.6409, d4.loss_iou: 0.9457, loss: 12.9078, grad_norm: 12.1337 2022-10-27 00:00:39,393 - mmdet - INFO - Epoch [32][1000/1849] lr: 2.000e-04, eta: 3:16:40, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1404, loss_bbox: 0.6422, loss_iou: 0.9432, d0.loss_bbox: 0.6994, d0.loss_iou: 1.0155, d1.loss_bbox: 0.6741, d1.loss_iou: 0.9836, d2.loss_bbox: 0.6594, d2.loss_iou: 0.9638, d3.loss_bbox: 0.6489, d3.loss_iou: 0.9511, d4.loss_bbox: 0.6427, d4.loss_iou: 0.9445, loss: 12.9089, grad_norm: 12.7368 2022-10-27 00:00:56,809 - mmdet - INFO - Epoch [32][1050/1849] lr: 2.000e-04, eta: 3:16:23, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1565, loss_bbox: 0.6451, loss_iou: 0.9456, d0.loss_bbox: 0.7002, d0.loss_iou: 1.0183, d1.loss_bbox: 0.6762, d1.loss_iou: 0.9863, d2.loss_bbox: 0.6611, d2.loss_iou: 0.9667, d3.loss_bbox: 0.6511, d3.loss_iou: 0.9536, d4.loss_bbox: 0.6452, d4.loss_iou: 0.9469, loss: 12.9526, grad_norm: 14.8171 2022-10-27 00:01:14,197 - mmdet - INFO - Epoch [32][1100/1849] lr: 2.000e-04, eta: 3:16:06, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1361, loss_bbox: 0.6398, loss_iou: 0.9430, d0.loss_bbox: 0.6961, d0.loss_iou: 1.0164, d1.loss_bbox: 0.6715, d1.loss_iou: 0.9837, d2.loss_bbox: 0.6571, d2.loss_iou: 0.9629, d3.loss_bbox: 0.6467, d3.loss_iou: 0.9508, d4.loss_bbox: 0.6404, d4.loss_iou: 0.9439, loss: 12.8884, grad_norm: 13.6146 2022-10-27 00:01:31,770 - mmdet - INFO - Epoch [32][1150/1849] lr: 2.000e-04, eta: 3:15:49, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1441, loss_bbox: 0.6406, loss_iou: 0.9442, d0.loss_bbox: 0.6978, d0.loss_iou: 1.0178, d1.loss_bbox: 0.6724, d1.loss_iou: 0.9845, d2.loss_bbox: 0.6576, d2.loss_iou: 0.9644, d3.loss_bbox: 0.6469, d3.loss_iou: 0.9527, d4.loss_bbox: 0.6412, d4.loss_iou: 0.9450, loss: 12.9090, grad_norm: 15.3871 2022-10-27 00:01:49,454 - mmdet - INFO - Epoch [32][1200/1849] lr: 2.000e-04, eta: 3:15:31, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1475, loss_bbox: 0.6422, loss_iou: 0.9474, d0.loss_bbox: 0.6973, d0.loss_iou: 1.0197, d1.loss_bbox: 0.6739, d1.loss_iou: 0.9882, d2.loss_bbox: 0.6596, d2.loss_iou: 0.9681, d3.loss_bbox: 0.6485, d3.loss_iou: 0.9551, d4.loss_bbox: 0.6428, d4.loss_iou: 0.9486, loss: 12.9388, grad_norm: 14.5646 2022-10-27 00:02:06,895 - mmdet - INFO - Epoch [32][1250/1849] lr: 2.000e-04, eta: 3:15:14, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1404, loss_bbox: 0.6407, loss_iou: 0.9444, d0.loss_bbox: 0.6976, d0.loss_iou: 1.0186, d1.loss_bbox: 0.6726, d1.loss_iou: 0.9855, d2.loss_bbox: 0.6572, d2.loss_iou: 0.9649, d3.loss_bbox: 0.6464, d3.loss_iou: 0.9521, d4.loss_bbox: 0.6414, d4.loss_iou: 0.9451, loss: 12.9069, grad_norm: 11.9068 2022-10-27 00:02:24,328 - mmdet - INFO - Epoch [32][1300/1849] lr: 2.000e-04, eta: 3:14:57, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1408, loss_bbox: 0.6402, loss_iou: 0.9440, d0.loss_bbox: 0.6977, d0.loss_iou: 1.0181, d1.loss_bbox: 0.6721, d1.loss_iou: 0.9863, d2.loss_bbox: 0.6565, d2.loss_iou: 0.9650, d3.loss_bbox: 0.6465, d3.loss_iou: 0.9516, d4.loss_bbox: 0.6403, d4.loss_iou: 0.9450, loss: 12.9041, grad_norm: 12.7170 2022-10-27 00:02:41,677 - mmdet - INFO - Epoch [32][1350/1849] lr: 2.000e-04, eta: 3:14:40, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1357, loss_bbox: 0.6403, loss_iou: 0.9450, d0.loss_bbox: 0.6974, d0.loss_iou: 1.0178, d1.loss_bbox: 0.6733, d1.loss_iou: 0.9864, d2.loss_bbox: 0.6575, d2.loss_iou: 0.9660, d3.loss_bbox: 0.6470, d3.loss_iou: 0.9533, d4.loss_bbox: 0.6411, d4.loss_iou: 0.9461, loss: 12.9068, grad_norm: 13.4156 2022-10-27 00:02:59,222 - mmdet - INFO - Epoch [32][1400/1849] lr: 2.000e-04, eta: 3:14:23, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1392, loss_bbox: 0.6444, loss_iou: 0.9461, d0.loss_bbox: 0.7008, d0.loss_iou: 1.0191, d1.loss_bbox: 0.6761, d1.loss_iou: 0.9864, d2.loss_bbox: 0.6611, d2.loss_iou: 0.9663, d3.loss_bbox: 0.6506, d3.loss_iou: 0.9538, d4.loss_bbox: 0.6448, d4.loss_iou: 0.9468, loss: 12.9354, grad_norm: 11.2405 2022-10-27 00:03:16,875 - mmdet - INFO - Epoch [32][1450/1849] lr: 2.000e-04, eta: 3:14:06, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1449, loss_bbox: 0.6429, loss_iou: 0.9459, d0.loss_bbox: 0.7000, d0.loss_iou: 1.0184, d1.loss_bbox: 0.6759, d1.loss_iou: 0.9865, d2.loss_bbox: 0.6603, d2.loss_iou: 0.9658, d3.loss_bbox: 0.6489, d3.loss_iou: 0.9525, d4.loss_bbox: 0.6436, d4.loss_iou: 0.9466, loss: 12.9323, grad_norm: 14.5745 2022-10-27 00:03:34,306 - mmdet - INFO - Epoch [32][1500/1849] lr: 2.000e-04, eta: 3:13:48, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1397, loss_bbox: 0.6403, loss_iou: 0.9454, d0.loss_bbox: 0.6976, d0.loss_iou: 1.0188, d1.loss_bbox: 0.6737, d1.loss_iou: 0.9873, d2.loss_bbox: 0.6577, d2.loss_iou: 0.9662, d3.loss_bbox: 0.6461, d3.loss_iou: 0.9536, d4.loss_bbox: 0.6408, d4.loss_iou: 0.9467, loss: 12.9141, grad_norm: 13.1326 2022-10-27 00:03:51,725 - mmdet - INFO - Epoch [32][1550/1849] lr: 2.000e-04, eta: 3:13:31, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1404, loss_bbox: 0.6431, loss_iou: 0.9454, d0.loss_bbox: 0.7003, d0.loss_iou: 1.0175, d1.loss_bbox: 0.6759, d1.loss_iou: 0.9860, d2.loss_bbox: 0.6595, d2.loss_iou: 0.9654, d3.loss_bbox: 0.6494, d3.loss_iou: 0.9526, d4.loss_bbox: 0.6440, d4.loss_iou: 0.9458, loss: 12.9253, grad_norm: 12.6788 2022-10-27 00:04:09,308 - mmdet - INFO - Epoch [32][1600/1849] lr: 2.000e-04, eta: 3:13:14, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1414, loss_bbox: 0.6450, loss_iou: 0.9497, d0.loss_bbox: 0.7005, d0.loss_iou: 1.0229, d1.loss_bbox: 0.6784, d1.loss_iou: 0.9915, d2.loss_bbox: 0.6627, d2.loss_iou: 0.9708, d3.loss_bbox: 0.6515, d3.loss_iou: 0.9576, d4.loss_bbox: 0.6460, d4.loss_iou: 0.9505, loss: 12.9684, grad_norm: 15.0487 2022-10-27 00:04:26,810 - mmdet - INFO - Epoch [32][1650/1849] lr: 2.000e-04, eta: 3:12:57, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1462, loss_bbox: 0.6430, loss_iou: 0.9448, d0.loss_bbox: 0.6987, d0.loss_iou: 1.0185, d1.loss_bbox: 0.6746, d1.loss_iou: 0.9845, d2.loss_bbox: 0.6593, d2.loss_iou: 0.9645, d3.loss_bbox: 0.6485, d3.loss_iou: 0.9518, d4.loss_bbox: 0.6435, d4.loss_iou: 0.9457, loss: 12.9236, grad_norm: 13.7574 2022-10-27 00:04:44,466 - mmdet - INFO - Epoch [32][1700/1849] lr: 2.000e-04, eta: 3:12:40, time: 0.353, data_time: 0.008, memory: 4055, loss_contrastive: 3.1353, loss_bbox: 0.6391, loss_iou: 0.9424, d0.loss_bbox: 0.6947, d0.loss_iou: 1.0159, d1.loss_bbox: 0.6713, d1.loss_iou: 0.9831, d2.loss_bbox: 0.6568, d2.loss_iou: 0.9631, d3.loss_bbox: 0.6450, d3.loss_iou: 0.9497, d4.loss_bbox: 0.6398, d4.loss_iou: 0.9432, loss: 12.8794, grad_norm: 14.8271 2022-10-27 00:05:01,987 - mmdet - INFO - Epoch [32][1750/1849] lr: 2.000e-04, eta: 3:12:23, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1357, loss_bbox: 0.6397, loss_iou: 0.9418, d0.loss_bbox: 0.6965, d0.loss_iou: 1.0149, d1.loss_bbox: 0.6729, d1.loss_iou: 0.9818, d2.loss_bbox: 0.6571, d2.loss_iou: 0.9617, d3.loss_bbox: 0.6463, d3.loss_iou: 0.9494, d4.loss_bbox: 0.6404, d4.loss_iou: 0.9428, loss: 12.8812, grad_norm: 14.9610 2022-10-27 00:05:19,609 - mmdet - INFO - Epoch [32][1800/1849] lr: 2.000e-04, eta: 3:12:06, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1270, loss_bbox: 0.6399, loss_iou: 0.9455, d0.loss_bbox: 0.6951, d0.loss_iou: 1.0170, d1.loss_bbox: 0.6717, d1.loss_iou: 0.9845, d2.loss_bbox: 0.6566, d2.loss_iou: 0.9650, d3.loss_bbox: 0.6460, d3.loss_iou: 0.9531, d4.loss_bbox: 0.6403, d4.loss_iou: 0.9462, loss: 12.8877, grad_norm: 14.6085 2022-10-27 00:05:36,622 - mmdet - INFO - Saving checkpoint at 32 epochs 2022-10-27 00:05:58,341 - mmdet - INFO - Epoch [33][50/1849] lr: 2.000e-04, eta: 3:11:24, time: 0.408, data_time: 0.069, memory: 4055, loss_contrastive: 3.1447, loss_bbox: 0.6407, loss_iou: 0.9429, d0.loss_bbox: 0.6970, d0.loss_iou: 1.0157, d1.loss_bbox: 0.6740, d1.loss_iou: 0.9841, d2.loss_bbox: 0.6583, d2.loss_iou: 0.9633, d3.loss_bbox: 0.6470, d3.loss_iou: 0.9502, d4.loss_bbox: 0.6412, d4.loss_iou: 0.9439, loss: 12.9029, grad_norm: 14.5817 2022-10-27 00:06:16,020 - mmdet - INFO - Epoch [33][100/1849] lr: 2.000e-04, eta: 3:11:06, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1405, loss_bbox: 0.6396, loss_iou: 0.9435, d0.loss_bbox: 0.6965, d0.loss_iou: 1.0165, d1.loss_bbox: 0.6717, d1.loss_iou: 0.9840, d2.loss_bbox: 0.6560, d2.loss_iou: 0.9633, d3.loss_bbox: 0.6456, d3.loss_iou: 0.9510, d4.loss_bbox: 0.6405, d4.loss_iou: 0.9444, loss: 12.8932, grad_norm: 14.6364 2022-10-27 00:06:33,370 - mmdet - INFO - Epoch [33][150/1849] lr: 2.000e-04, eta: 3:10:49, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1427, loss_bbox: 0.6433, loss_iou: 0.9429, d0.loss_bbox: 0.7011, d0.loss_iou: 1.0170, d1.loss_bbox: 0.6766, d1.loss_iou: 0.9847, d2.loss_bbox: 0.6608, d2.loss_iou: 0.9638, d3.loss_bbox: 0.6502, d3.loss_iou: 0.9508, d4.loss_bbox: 0.6438, d4.loss_iou: 0.9439, loss: 12.9216, grad_norm: 13.6367 2022-10-27 00:06:50,749 - mmdet - INFO - Epoch [33][200/1849] lr: 2.000e-04, eta: 3:10:32, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1429, loss_bbox: 0.6414, loss_iou: 0.9448, d0.loss_bbox: 0.6986, d0.loss_iou: 1.0175, d1.loss_bbox: 0.6745, d1.loss_iou: 0.9870, d2.loss_bbox: 0.6588, d2.loss_iou: 0.9661, d3.loss_bbox: 0.6472, d3.loss_iou: 0.9524, d4.loss_bbox: 0.6420, d4.loss_iou: 0.9457, loss: 12.9189, grad_norm: 13.2075 2022-10-27 00:07:08,325 - mmdet - INFO - Epoch [33][250/1849] lr: 2.000e-04, eta: 3:10:15, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1434, loss_bbox: 0.6440, loss_iou: 0.9439, d0.loss_bbox: 0.7001, d0.loss_iou: 1.0175, d1.loss_bbox: 0.6770, d1.loss_iou: 0.9865, d2.loss_bbox: 0.6619, d2.loss_iou: 0.9654, d3.loss_bbox: 0.6501, d3.loss_iou: 0.9519, d4.loss_bbox: 0.6450, d4.loss_iou: 0.9448, loss: 12.9316, grad_norm: 15.5564 2022-10-27 00:07:25,670 - mmdet - INFO - Epoch [33][300/1849] lr: 2.000e-04, eta: 3:09:58, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1356, loss_bbox: 0.6417, loss_iou: 0.9479, d0.loss_bbox: 0.6991, d0.loss_iou: 1.0230, d1.loss_bbox: 0.6753, d1.loss_iou: 0.9909, d2.loss_bbox: 0.6593, d2.loss_iou: 0.9691, d3.loss_bbox: 0.6482, d3.loss_iou: 0.9554, d4.loss_bbox: 0.6421, d4.loss_iou: 0.9488, loss: 12.9364, grad_norm: 13.1995 2022-10-27 00:07:43,204 - mmdet - INFO - Epoch [33][350/1849] lr: 2.000e-04, eta: 3:09:41, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1418, loss_bbox: 0.6397, loss_iou: 0.9447, d0.loss_bbox: 0.6961, d0.loss_iou: 1.0189, d1.loss_bbox: 0.6718, d1.loss_iou: 0.9856, d2.loss_bbox: 0.6560, d2.loss_iou: 0.9648, d3.loss_bbox: 0.6460, d3.loss_iou: 0.9519, d4.loss_bbox: 0.6400, d4.loss_iou: 0.9458, loss: 12.9033, grad_norm: 14.9075 2022-10-27 00:08:00,822 - mmdet - INFO - Epoch [33][400/1849] lr: 2.000e-04, eta: 3:09:23, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1372, loss_bbox: 0.6399, loss_iou: 0.9475, d0.loss_bbox: 0.6965, d0.loss_iou: 1.0216, d1.loss_bbox: 0.6726, d1.loss_iou: 0.9884, d2.loss_bbox: 0.6571, d2.loss_iou: 0.9686, d3.loss_bbox: 0.6466, d3.loss_iou: 0.9554, d4.loss_bbox: 0.6405, d4.loss_iou: 0.9485, loss: 12.9203, grad_norm: 12.8709 2022-10-27 00:08:18,260 - mmdet - INFO - Epoch [33][450/1849] lr: 2.000e-04, eta: 3:09:06, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1374, loss_bbox: 0.6416, loss_iou: 0.9472, d0.loss_bbox: 0.6989, d0.loss_iou: 1.0218, d1.loss_bbox: 0.6752, d1.loss_iou: 0.9891, d2.loss_bbox: 0.6594, d2.loss_iou: 0.9686, d3.loss_bbox: 0.6477, d3.loss_iou: 0.9552, d4.loss_bbox: 0.6419, d4.loss_iou: 0.9481, loss: 12.9323, grad_norm: 13.8331 2022-10-27 00:08:35,663 - mmdet - INFO - Epoch [33][500/1849] lr: 2.000e-04, eta: 3:08:49, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1381, loss_bbox: 0.6440, loss_iou: 0.9466, d0.loss_bbox: 0.6989, d0.loss_iou: 1.0175, d1.loss_bbox: 0.6753, d1.loss_iou: 0.9868, d2.loss_bbox: 0.6609, d2.loss_iou: 0.9672, d3.loss_bbox: 0.6502, d3.loss_iou: 0.9538, d4.loss_bbox: 0.6445, d4.loss_iou: 0.9476, loss: 12.9314, grad_norm: 12.7384 2022-10-27 00:08:53,038 - mmdet - INFO - Epoch [33][550/1849] lr: 2.000e-04, eta: 3:08:32, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1389, loss_bbox: 0.6415, loss_iou: 0.9424, d0.loss_bbox: 0.6986, d0.loss_iou: 1.0156, d1.loss_bbox: 0.6749, d1.loss_iou: 0.9831, d2.loss_bbox: 0.6592, d2.loss_iou: 0.9618, d3.loss_bbox: 0.6482, d3.loss_iou: 0.9491, d4.loss_bbox: 0.6422, d4.loss_iou: 0.9433, loss: 12.8990, grad_norm: 15.4934 2022-10-27 00:09:10,443 - mmdet - INFO - Epoch [33][600/1849] lr: 2.000e-04, eta: 3:08:15, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1345, loss_bbox: 0.6384, loss_iou: 0.9424, d0.loss_bbox: 0.6948, d0.loss_iou: 1.0167, d1.loss_bbox: 0.6710, d1.loss_iou: 0.9839, d2.loss_bbox: 0.6557, d2.loss_iou: 0.9623, d3.loss_bbox: 0.6452, d3.loss_iou: 0.9502, d4.loss_bbox: 0.6392, d4.loss_iou: 0.9434, loss: 12.8776, grad_norm: 13.3327 2022-10-27 00:09:27,751 - mmdet - INFO - Epoch [33][650/1849] lr: 2.000e-04, eta: 3:07:57, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1436, loss_bbox: 0.6435, loss_iou: 0.9404, d0.loss_bbox: 0.7009, d0.loss_iou: 1.0143, d1.loss_bbox: 0.6756, d1.loss_iou: 0.9812, d2.loss_bbox: 0.6600, d2.loss_iou: 0.9605, d3.loss_bbox: 0.6498, d3.loss_iou: 0.9480, d4.loss_bbox: 0.6443, d4.loss_iou: 0.9414, loss: 12.9035, grad_norm: 11.9151 2022-10-27 00:09:45,178 - mmdet - INFO - Epoch [33][700/1849] lr: 2.000e-04, eta: 3:07:40, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1429, loss_bbox: 0.6413, loss_iou: 0.9429, d0.loss_bbox: 0.6979, d0.loss_iou: 1.0164, d1.loss_bbox: 0.6733, d1.loss_iou: 0.9831, d2.loss_bbox: 0.6578, d2.loss_iou: 0.9625, d3.loss_bbox: 0.6475, d3.loss_iou: 0.9502, d4.loss_bbox: 0.6423, d4.loss_iou: 0.9439, loss: 12.9019, grad_norm: 13.4590 2022-10-27 00:10:02,663 - mmdet - INFO - Epoch [33][750/1849] lr: 2.000e-04, eta: 3:07:23, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1456, loss_bbox: 0.6401, loss_iou: 0.9443, d0.loss_bbox: 0.6968, d0.loss_iou: 1.0187, d1.loss_bbox: 0.6724, d1.loss_iou: 0.9862, d2.loss_bbox: 0.6572, d2.loss_iou: 0.9645, d3.loss_bbox: 0.6462, d3.loss_iou: 0.9517, d4.loss_bbox: 0.6408, d4.loss_iou: 0.9450, loss: 12.9094, grad_norm: 14.1428 2022-10-27 00:10:20,148 - mmdet - INFO - Epoch [33][800/1849] lr: 2.000e-04, eta: 3:07:06, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1459, loss_bbox: 0.6415, loss_iou: 0.9415, d0.loss_bbox: 0.6985, d0.loss_iou: 1.0145, d1.loss_bbox: 0.6736, d1.loss_iou: 0.9819, d2.loss_bbox: 0.6589, d2.loss_iou: 0.9617, d3.loss_bbox: 0.6476, d3.loss_iou: 0.9491, d4.loss_bbox: 0.6422, d4.loss_iou: 0.9423, loss: 12.8992, grad_norm: 13.0118 2022-10-27 00:10:37,661 - mmdet - INFO - Epoch [33][850/1849] lr: 2.000e-04, eta: 3:06:49, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1341, loss_bbox: 0.6391, loss_iou: 0.9419, d0.loss_bbox: 0.6958, d0.loss_iou: 1.0155, d1.loss_bbox: 0.6711, d1.loss_iou: 0.9825, d2.loss_bbox: 0.6553, d2.loss_iou: 0.9623, d3.loss_bbox: 0.6447, d3.loss_iou: 0.9495, d4.loss_bbox: 0.6396, d4.loss_iou: 0.9428, loss: 12.8742, grad_norm: 14.2468 2022-10-27 00:10:54,894 - mmdet - INFO - Epoch [33][900/1849] lr: 2.000e-04, eta: 3:06:31, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1400, loss_bbox: 0.6385, loss_iou: 0.9409, d0.loss_bbox: 0.6962, d0.loss_iou: 1.0154, d1.loss_bbox: 0.6703, d1.loss_iou: 0.9818, d2.loss_bbox: 0.6554, d2.loss_iou: 0.9614, d3.loss_bbox: 0.6451, d3.loss_iou: 0.9487, d4.loss_bbox: 0.6388, d4.loss_iou: 0.9418, loss: 12.8743, grad_norm: 13.5624 2022-10-27 00:11:12,215 - mmdet - INFO - Epoch [33][950/1849] lr: 2.000e-04, eta: 3:06:14, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1450, loss_bbox: 0.6417, loss_iou: 0.9450, d0.loss_bbox: 0.6999, d0.loss_iou: 1.0178, d1.loss_bbox: 0.6748, d1.loss_iou: 0.9852, d2.loss_bbox: 0.6598, d2.loss_iou: 0.9642, d3.loss_bbox: 0.6484, d3.loss_iou: 0.9524, d4.loss_bbox: 0.6419, d4.loss_iou: 0.9458, loss: 12.9220, grad_norm: 16.1254 2022-10-27 00:11:29,528 - mmdet - INFO - Epoch [33][1000/1849] lr: 2.000e-04, eta: 3:05:57, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1482, loss_bbox: 0.6426, loss_iou: 0.9475, d0.loss_bbox: 0.6995, d0.loss_iou: 1.0211, d1.loss_bbox: 0.6750, d1.loss_iou: 0.9890, d2.loss_bbox: 0.6598, d2.loss_iou: 0.9689, d3.loss_bbox: 0.6489, d3.loss_iou: 0.9560, d4.loss_bbox: 0.6433, d4.loss_iou: 0.9485, loss: 12.9482, grad_norm: 14.1012 2022-10-27 00:11:46,780 - mmdet - INFO - Epoch [33][1050/1849] lr: 2.000e-04, eta: 3:05:40, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1476, loss_bbox: 0.6480, loss_iou: 0.9512, d0.loss_bbox: 0.7062, d0.loss_iou: 1.0263, d1.loss_bbox: 0.6809, d1.loss_iou: 0.9926, d2.loss_bbox: 0.6651, d2.loss_iou: 0.9720, d3.loss_bbox: 0.6544, d3.loss_iou: 0.9592, d4.loss_bbox: 0.6484, d4.loss_iou: 0.9522, loss: 13.0043, grad_norm: 16.5585 2022-10-27 00:12:04,143 - mmdet - INFO - Epoch [33][1100/1849] lr: 2.000e-04, eta: 3:05:22, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1390, loss_bbox: 0.6454, loss_iou: 0.9481, d0.loss_bbox: 0.7035, d0.loss_iou: 1.0197, d1.loss_bbox: 0.6797, d1.loss_iou: 0.9891, d2.loss_bbox: 0.6634, d2.loss_iou: 0.9680, d3.loss_bbox: 0.6524, d3.loss_iou: 0.9557, d4.loss_bbox: 0.6458, d4.loss_iou: 0.9489, loss: 12.9586, grad_norm: 13.8800 2022-10-27 00:12:21,595 - mmdet - INFO - Epoch [33][1150/1849] lr: 2.000e-04, eta: 3:05:05, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1414, loss_bbox: 0.6433, loss_iou: 0.9443, d0.loss_bbox: 0.7024, d0.loss_iou: 1.0177, d1.loss_bbox: 0.6768, d1.loss_iou: 0.9844, d2.loss_bbox: 0.6606, d2.loss_iou: 0.9645, d3.loss_bbox: 0.6504, d3.loss_iou: 0.9520, d4.loss_bbox: 0.6442, d4.loss_iou: 0.9452, loss: 12.9270, grad_norm: 14.0616 2022-10-27 00:12:39,040 - mmdet - INFO - Epoch [33][1200/1849] lr: 2.000e-04, eta: 3:04:48, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1421, loss_bbox: 0.6376, loss_iou: 0.9428, d0.loss_bbox: 0.6985, d0.loss_iou: 1.0191, d1.loss_bbox: 0.6715, d1.loss_iou: 0.9851, d2.loss_bbox: 0.6557, d2.loss_iou: 0.9641, d3.loss_bbox: 0.6444, d3.loss_iou: 0.9509, d4.loss_bbox: 0.6384, d4.loss_iou: 0.9438, loss: 12.8940, grad_norm: 13.3294 2022-10-27 00:12:56,531 - mmdet - INFO - Epoch [33][1250/1849] lr: 2.000e-04, eta: 3:04:31, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1478, loss_bbox: 0.6429, loss_iou: 0.9493, d0.loss_bbox: 0.7012, d0.loss_iou: 1.0231, d1.loss_bbox: 0.6753, d1.loss_iou: 0.9901, d2.loss_bbox: 0.6598, d2.loss_iou: 0.9694, d3.loss_bbox: 0.6492, d3.loss_iou: 0.9565, d4.loss_bbox: 0.6434, d4.loss_iou: 0.9502, loss: 12.9582, grad_norm: 13.3828 2022-10-27 00:13:13,780 - mmdet - INFO - Epoch [33][1300/1849] lr: 2.000e-04, eta: 3:04:13, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1352, loss_bbox: 0.6363, loss_iou: 0.9398, d0.loss_bbox: 0.6947, d0.loss_iou: 1.0169, d1.loss_bbox: 0.6691, d1.loss_iou: 0.9823, d2.loss_bbox: 0.6536, d2.loss_iou: 0.9613, d3.loss_bbox: 0.6428, d3.loss_iou: 0.9483, d4.loss_bbox: 0.6372, d4.loss_iou: 0.9406, loss: 12.8583, grad_norm: 14.1905 2022-10-27 00:13:31,215 - mmdet - INFO - Epoch [33][1350/1849] lr: 2.000e-04, eta: 3:03:56, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1414, loss_bbox: 0.6422, loss_iou: 0.9477, d0.loss_bbox: 0.6993, d0.loss_iou: 1.0215, d1.loss_bbox: 0.6758, d1.loss_iou: 0.9896, d2.loss_bbox: 0.6594, d2.loss_iou: 0.9692, d3.loss_bbox: 0.6486, d3.loss_iou: 0.9554, d4.loss_bbox: 0.6430, d4.loss_iou: 0.9488, loss: 12.9421, grad_norm: 14.2033 2022-10-27 00:13:48,510 - mmdet - INFO - Epoch [33][1400/1849] lr: 2.000e-04, eta: 3:03:39, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1340, loss_bbox: 0.6398, loss_iou: 0.9409, d0.loss_bbox: 0.6976, d0.loss_iou: 1.0165, d1.loss_bbox: 0.6721, d1.loss_iou: 0.9820, d2.loss_bbox: 0.6563, d2.loss_iou: 0.9617, d3.loss_bbox: 0.6460, d3.loss_iou: 0.9485, d4.loss_bbox: 0.6407, d4.loss_iou: 0.9417, loss: 12.8777, grad_norm: 15.2786 2022-10-27 00:14:05,814 - mmdet - INFO - Epoch [33][1450/1849] lr: 2.000e-04, eta: 3:03:22, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1461, loss_bbox: 0.6406, loss_iou: 0.9461, d0.loss_bbox: 0.6979, d0.loss_iou: 1.0210, d1.loss_bbox: 0.6726, d1.loss_iou: 0.9872, d2.loss_bbox: 0.6571, d2.loss_iou: 0.9671, d3.loss_bbox: 0.6469, d3.loss_iou: 0.9540, d4.loss_bbox: 0.6411, d4.loss_iou: 0.9472, loss: 12.9249, grad_norm: 13.1863 2022-10-27 00:14:23,093 - mmdet - INFO - Epoch [33][1500/1849] lr: 2.000e-04, eta: 3:03:04, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1309, loss_bbox: 0.6393, loss_iou: 0.9451, d0.loss_bbox: 0.6942, d0.loss_iou: 1.0181, d1.loss_bbox: 0.6705, d1.loss_iou: 0.9855, d2.loss_bbox: 0.6558, d2.loss_iou: 0.9663, d3.loss_bbox: 0.6457, d3.loss_iou: 0.9529, d4.loss_bbox: 0.6401, d4.loss_iou: 0.9458, loss: 12.8901, grad_norm: 15.6670 2022-10-27 00:14:40,448 - mmdet - INFO - Epoch [33][1550/1849] lr: 2.000e-04, eta: 3:02:47, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1426, loss_bbox: 0.6390, loss_iou: 0.9396, d0.loss_bbox: 0.6980, d0.loss_iou: 1.0138, d1.loss_bbox: 0.6732, d1.loss_iou: 0.9813, d2.loss_bbox: 0.6576, d2.loss_iou: 0.9610, d3.loss_bbox: 0.6464, d3.loss_iou: 0.9472, d4.loss_bbox: 0.6393, d4.loss_iou: 0.9407, loss: 12.8799, grad_norm: 14.7002 2022-10-27 00:14:58,047 - mmdet - INFO - Epoch [33][1600/1849] lr: 2.000e-04, eta: 3:02:30, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1449, loss_bbox: 0.6404, loss_iou: 0.9447, d0.loss_bbox: 0.6978, d0.loss_iou: 1.0169, d1.loss_bbox: 0.6732, d1.loss_iou: 0.9844, d2.loss_bbox: 0.6578, d2.loss_iou: 0.9643, d3.loss_bbox: 0.6470, d3.loss_iou: 0.9517, d4.loss_bbox: 0.6412, d4.loss_iou: 0.9454, loss: 12.9096, grad_norm: 13.1857 2022-10-27 00:15:15,572 - mmdet - INFO - Epoch [33][1650/1849] lr: 2.000e-04, eta: 3:02:13, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1357, loss_bbox: 0.6392, loss_iou: 0.9431, d0.loss_bbox: 0.6969, d0.loss_iou: 1.0157, d1.loss_bbox: 0.6723, d1.loss_iou: 0.9836, d2.loss_bbox: 0.6569, d2.loss_iou: 0.9635, d3.loss_bbox: 0.6456, d3.loss_iou: 0.9507, d4.loss_bbox: 0.6398, d4.loss_iou: 0.9441, loss: 12.8872, grad_norm: 13.9692 2022-10-27 00:15:33,094 - mmdet - INFO - Epoch [33][1700/1849] lr: 2.000e-04, eta: 3:01:56, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1392, loss_bbox: 0.6411, loss_iou: 0.9467, d0.loss_bbox: 0.6983, d0.loss_iou: 1.0204, d1.loss_bbox: 0.6740, d1.loss_iou: 0.9875, d2.loss_bbox: 0.6582, d2.loss_iou: 0.9673, d3.loss_bbox: 0.6476, d3.loss_iou: 0.9548, d4.loss_bbox: 0.6419, d4.loss_iou: 0.9477, loss: 12.9249, grad_norm: 11.9376 2022-10-27 00:15:50,285 - mmdet - INFO - Epoch [33][1750/1849] lr: 2.000e-04, eta: 3:01:38, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1450, loss_bbox: 0.6396, loss_iou: 0.9437, d0.loss_bbox: 0.6965, d0.loss_iou: 1.0180, d1.loss_bbox: 0.6727, d1.loss_iou: 0.9843, d2.loss_bbox: 0.6572, d2.loss_iou: 0.9641, d3.loss_bbox: 0.6469, d3.loss_iou: 0.9517, d4.loss_bbox: 0.6405, d4.loss_iou: 0.9445, loss: 12.9046, grad_norm: 12.7209 2022-10-27 00:16:07,826 - mmdet - INFO - Epoch [33][1800/1849] lr: 2.000e-04, eta: 3:01:21, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1381, loss_bbox: 0.6443, loss_iou: 0.9448, d0.loss_bbox: 0.7007, d0.loss_iou: 1.0168, d1.loss_bbox: 0.6756, d1.loss_iou: 0.9833, d2.loss_bbox: 0.6604, d2.loss_iou: 0.9635, d3.loss_bbox: 0.6502, d3.loss_iou: 0.9516, d4.loss_bbox: 0.6447, d4.loss_iou: 0.9455, loss: 12.9194, grad_norm: 12.2652 2022-10-27 00:16:25,119 - mmdet - INFO - Saving checkpoint at 33 epochs 2022-10-27 00:16:47,355 - mmdet - INFO - Epoch [34][50/1849] lr: 2.000e-04, eta: 3:00:40, time: 0.420, data_time: 0.069, memory: 4055, loss_contrastive: 3.1407, loss_bbox: 0.6434, loss_iou: 0.9430, d0.loss_bbox: 0.6994, d0.loss_iou: 1.0146, d1.loss_bbox: 0.6757, d1.loss_iou: 0.9824, d2.loss_bbox: 0.6602, d2.loss_iou: 0.9625, d3.loss_bbox: 0.6500, d3.loss_iou: 0.9502, d4.loss_bbox: 0.6442, d4.loss_iou: 0.9437, loss: 12.9100, grad_norm: 13.6687 2022-10-27 00:17:04,876 - mmdet - INFO - Epoch [34][100/1849] lr: 2.000e-04, eta: 3:00:23, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1391, loss_bbox: 0.6360, loss_iou: 0.9422, d0.loss_bbox: 0.6931, d0.loss_iou: 1.0158, d1.loss_bbox: 0.6689, d1.loss_iou: 0.9831, d2.loss_bbox: 0.6532, d2.loss_iou: 0.9626, d3.loss_bbox: 0.6427, d3.loss_iou: 0.9499, d4.loss_bbox: 0.6366, d4.loss_iou: 0.9435, loss: 12.8667, grad_norm: 13.5417 2022-10-27 00:17:22,693 - mmdet - INFO - Epoch [34][150/1849] lr: 2.000e-04, eta: 3:00:06, time: 0.356, data_time: 0.008, memory: 4055, loss_contrastive: 3.1421, loss_bbox: 0.6418, loss_iou: 0.9405, d0.loss_bbox: 0.6986, d0.loss_iou: 1.0132, d1.loss_bbox: 0.6746, d1.loss_iou: 0.9806, d2.loss_bbox: 0.6585, d2.loss_iou: 0.9607, d3.loss_bbox: 0.6479, d3.loss_iou: 0.9483, d4.loss_bbox: 0.6421, d4.loss_iou: 0.9416, loss: 12.8904, grad_norm: 13.1758 2022-10-27 00:17:39,910 - mmdet - INFO - Epoch [34][200/1849] lr: 2.000e-04, eta: 2:59:49, time: 0.344, data_time: 0.008, memory: 4055, loss_contrastive: 3.1333, loss_bbox: 0.6405, loss_iou: 0.9426, d0.loss_bbox: 0.6980, d0.loss_iou: 1.0155, d1.loss_bbox: 0.6732, d1.loss_iou: 0.9830, d2.loss_bbox: 0.6582, d2.loss_iou: 0.9627, d3.loss_bbox: 0.6477, d3.loss_iou: 0.9497, d4.loss_bbox: 0.6412, d4.loss_iou: 0.9433, loss: 12.8890, grad_norm: 13.8751 2022-10-27 00:17:57,546 - mmdet - INFO - Epoch [34][250/1849] lr: 2.000e-04, eta: 2:59:32, time: 0.353, data_time: 0.008, memory: 4055, loss_contrastive: 3.1310, loss_bbox: 0.6373, loss_iou: 0.9404, d0.loss_bbox: 0.6950, d0.loss_iou: 1.0171, d1.loss_bbox: 0.6705, d1.loss_iou: 0.9825, d2.loss_bbox: 0.6544, d2.loss_iou: 0.9616, d3.loss_bbox: 0.6438, d3.loss_iou: 0.9488, d4.loss_bbox: 0.6380, d4.loss_iou: 0.9416, loss: 12.8620, grad_norm: 14.7607 2022-10-27 00:18:15,212 - mmdet - INFO - Epoch [34][300/1849] lr: 2.000e-04, eta: 2:59:15, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1403, loss_bbox: 0.6388, loss_iou: 0.9358, d0.loss_bbox: 0.6957, d0.loss_iou: 1.0085, d1.loss_bbox: 0.6711, d1.loss_iou: 0.9771, d2.loss_bbox: 0.6551, d2.loss_iou: 0.9560, d3.loss_bbox: 0.6451, d3.loss_iou: 0.9434, d4.loss_bbox: 0.6396, d4.loss_iou: 0.9368, loss: 12.8434, grad_norm: 14.4998 2022-10-27 00:18:32,954 - mmdet - INFO - Epoch [34][350/1849] lr: 2.000e-04, eta: 2:58:58, time: 0.355, data_time: 0.009, memory: 4055, loss_contrastive: 3.1404, loss_bbox: 0.6378, loss_iou: 0.9398, d0.loss_bbox: 0.6952, d0.loss_iou: 1.0137, d1.loss_bbox: 0.6711, d1.loss_iou: 0.9803, d2.loss_bbox: 0.6548, d2.loss_iou: 0.9602, d3.loss_bbox: 0.6443, d3.loss_iou: 0.9473, d4.loss_bbox: 0.6387, d4.loss_iou: 0.9406, loss: 12.8643, grad_norm: 16.3954 2022-10-27 00:18:50,343 - mmdet - INFO - Epoch [34][400/1849] lr: 2.000e-04, eta: 2:58:40, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1367, loss_bbox: 0.6387, loss_iou: 0.9402, d0.loss_bbox: 0.6956, d0.loss_iou: 1.0128, d1.loss_bbox: 0.6722, d1.loss_iou: 0.9804, d2.loss_bbox: 0.6566, d2.loss_iou: 0.9608, d3.loss_bbox: 0.6453, d3.loss_iou: 0.9476, d4.loss_bbox: 0.6394, d4.loss_iou: 0.9412, loss: 12.8674, grad_norm: 13.1582 2022-10-27 00:19:08,011 - mmdet - INFO - Epoch [34][450/1849] lr: 2.000e-04, eta: 2:58:23, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1374, loss_bbox: 0.6383, loss_iou: 0.9393, d0.loss_bbox: 0.6943, d0.loss_iou: 1.0124, d1.loss_bbox: 0.6711, d1.loss_iou: 0.9801, d2.loss_bbox: 0.6554, d2.loss_iou: 0.9596, d3.loss_bbox: 0.6447, d3.loss_iou: 0.9467, d4.loss_bbox: 0.6391, d4.loss_iou: 0.9402, loss: 12.8585, grad_norm: 13.3712 2022-10-27 00:19:25,613 - mmdet - INFO - Epoch [34][500/1849] lr: 2.000e-04, eta: 2:58:06, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1398, loss_bbox: 0.6385, loss_iou: 0.9418, d0.loss_bbox: 0.6968, d0.loss_iou: 1.0165, d1.loss_bbox: 0.6720, d1.loss_iou: 0.9840, d2.loss_bbox: 0.6568, d2.loss_iou: 0.9628, d3.loss_bbox: 0.6447, d3.loss_iou: 0.9495, d4.loss_bbox: 0.6390, d4.loss_iou: 0.9427, loss: 12.8849, grad_norm: 13.7548 2022-10-27 00:19:43,035 - mmdet - INFO - Epoch [34][550/1849] lr: 2.000e-04, eta: 2:57:49, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1385, loss_bbox: 0.6404, loss_iou: 0.9447, d0.loss_bbox: 0.6971, d0.loss_iou: 1.0186, d1.loss_bbox: 0.6719, d1.loss_iou: 0.9853, d2.loss_bbox: 0.6567, d2.loss_iou: 0.9657, d3.loss_bbox: 0.6464, d3.loss_iou: 0.9522, d4.loss_bbox: 0.6407, d4.loss_iou: 0.9459, loss: 12.9041, grad_norm: 13.9720 2022-10-27 00:20:00,569 - mmdet - INFO - Epoch [34][600/1849] lr: 2.000e-04, eta: 2:57:32, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1466, loss_bbox: 0.6402, loss_iou: 0.9451, d0.loss_bbox: 0.6977, d0.loss_iou: 1.0184, d1.loss_bbox: 0.6719, d1.loss_iou: 0.9857, d2.loss_bbox: 0.6569, d2.loss_iou: 0.9650, d3.loss_bbox: 0.6461, d3.loss_iou: 0.9528, d4.loss_bbox: 0.6409, d4.loss_iou: 0.9463, loss: 12.9136, grad_norm: 14.4300 2022-10-27 00:20:18,042 - mmdet - INFO - Epoch [34][650/1849] lr: 2.000e-04, eta: 2:57:15, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1374, loss_bbox: 0.6403, loss_iou: 0.9436, d0.loss_bbox: 0.6980, d0.loss_iou: 1.0171, d1.loss_bbox: 0.6734, d1.loss_iou: 0.9843, d2.loss_bbox: 0.6573, d2.loss_iou: 0.9641, d3.loss_bbox: 0.6463, d3.loss_iou: 0.9512, d4.loss_bbox: 0.6409, d4.loss_iou: 0.9444, loss: 12.8983, grad_norm: 15.9875 2022-10-27 00:20:35,376 - mmdet - INFO - Epoch [34][700/1849] lr: 2.000e-04, eta: 2:56:57, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1345, loss_bbox: 0.6376, loss_iou: 0.9434, d0.loss_bbox: 0.6945, d0.loss_iou: 1.0175, d1.loss_bbox: 0.6694, d1.loss_iou: 0.9841, d2.loss_bbox: 0.6534, d2.loss_iou: 0.9639, d3.loss_bbox: 0.6439, d3.loss_iou: 0.9505, d4.loss_bbox: 0.6382, d4.loss_iou: 0.9441, loss: 12.8749, grad_norm: 14.5476 2022-10-27 00:20:52,829 - mmdet - INFO - Epoch [34][750/1849] lr: 2.000e-04, eta: 2:56:40, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1415, loss_bbox: 0.6393, loss_iou: 0.9457, d0.loss_bbox: 0.6964, d0.loss_iou: 1.0191, d1.loss_bbox: 0.6720, d1.loss_iou: 0.9864, d2.loss_bbox: 0.6568, d2.loss_iou: 0.9660, d3.loss_bbox: 0.6462, d3.loss_iou: 0.9531, d4.loss_bbox: 0.6402, d4.loss_iou: 0.9465, loss: 12.9091, grad_norm: 15.7118 2022-10-27 00:21:10,402 - mmdet - INFO - Epoch [34][800/1849] lr: 2.000e-04, eta: 2:56:23, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1391, loss_bbox: 0.6382, loss_iou: 0.9422, d0.loss_bbox: 0.6957, d0.loss_iou: 1.0166, d1.loss_bbox: 0.6707, d1.loss_iou: 0.9838, d2.loss_bbox: 0.6557, d2.loss_iou: 0.9634, d3.loss_bbox: 0.6448, d3.loss_iou: 0.9499, d4.loss_bbox: 0.6388, d4.loss_iou: 0.9432, loss: 12.8822, grad_norm: 14.9778 2022-10-27 00:21:28,006 - mmdet - INFO - Epoch [34][850/1849] lr: 2.000e-04, eta: 2:56:06, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1403, loss_bbox: 0.6415, loss_iou: 0.9408, d0.loss_bbox: 0.6974, d0.loss_iou: 1.0156, d1.loss_bbox: 0.6737, d1.loss_iou: 0.9831, d2.loss_bbox: 0.6590, d2.loss_iou: 0.9617, d3.loss_bbox: 0.6478, d3.loss_iou: 0.9484, d4.loss_bbox: 0.6423, d4.loss_iou: 0.9417, loss: 12.8933, grad_norm: 12.7175 2022-10-27 00:21:45,530 - mmdet - INFO - Epoch [34][900/1849] lr: 2.000e-04, eta: 2:55:49, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1390, loss_bbox: 0.6401, loss_iou: 0.9443, d0.loss_bbox: 0.6968, d0.loss_iou: 1.0175, d1.loss_bbox: 0.6721, d1.loss_iou: 0.9840, d2.loss_bbox: 0.6569, d2.loss_iou: 0.9638, d3.loss_bbox: 0.6463, d3.loss_iou: 0.9513, d4.loss_bbox: 0.6407, d4.loss_iou: 0.9448, loss: 12.8977, grad_norm: 14.3681 2022-10-27 00:22:02,944 - mmdet - INFO - Epoch [34][950/1849] lr: 2.000e-04, eta: 2:55:32, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1419, loss_bbox: 0.6409, loss_iou: 0.9396, d0.loss_bbox: 0.6974, d0.loss_iou: 1.0146, d1.loss_bbox: 0.6735, d1.loss_iou: 0.9821, d2.loss_bbox: 0.6583, d2.loss_iou: 0.9605, d3.loss_bbox: 0.6474, d3.loss_iou: 0.9478, d4.loss_bbox: 0.6412, d4.loss_iou: 0.9406, loss: 12.8859, grad_norm: 15.5417 2022-10-27 00:22:20,552 - mmdet - INFO - Epoch [34][1000/1849] lr: 2.000e-04, eta: 2:55:15, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1416, loss_bbox: 0.6399, loss_iou: 0.9474, d0.loss_bbox: 0.6960, d0.loss_iou: 1.0204, d1.loss_bbox: 0.6726, d1.loss_iou: 0.9881, d2.loss_bbox: 0.6567, d2.loss_iou: 0.9676, d3.loss_bbox: 0.6463, d3.loss_iou: 0.9545, d4.loss_bbox: 0.6405, d4.loss_iou: 0.9485, loss: 12.9201, grad_norm: 14.5005 2022-10-27 00:22:37,949 - mmdet - INFO - Epoch [34][1050/1849] lr: 2.000e-04, eta: 2:54:57, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1366, loss_bbox: 0.6428, loss_iou: 0.9431, d0.loss_bbox: 0.6983, d0.loss_iou: 1.0163, d1.loss_bbox: 0.6751, d1.loss_iou: 0.9835, d2.loss_bbox: 0.6599, d2.loss_iou: 0.9635, d3.loss_bbox: 0.6491, d3.loss_iou: 0.9505, d4.loss_bbox: 0.6434, d4.loss_iou: 0.9440, loss: 12.9062, grad_norm: 15.5003 2022-10-27 00:22:55,241 - mmdet - INFO - Epoch [34][1100/1849] lr: 2.000e-04, eta: 2:54:40, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1276, loss_bbox: 0.6380, loss_iou: 0.9391, d0.loss_bbox: 0.6926, d0.loss_iou: 1.0112, d1.loss_bbox: 0.6697, d1.loss_iou: 0.9793, d2.loss_bbox: 0.6545, d2.loss_iou: 0.9595, d3.loss_bbox: 0.6433, d3.loss_iou: 0.9464, d4.loss_bbox: 0.6384, d4.loss_iou: 0.9400, loss: 12.8397, grad_norm: 15.3380 2022-10-27 00:23:12,949 - mmdet - INFO - Epoch [34][1150/1849] lr: 2.000e-04, eta: 2:54:23, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1437, loss_bbox: 0.6388, loss_iou: 0.9394, d0.loss_bbox: 0.6964, d0.loss_iou: 1.0133, d1.loss_bbox: 0.6715, d1.loss_iou: 0.9802, d2.loss_bbox: 0.6563, d2.loss_iou: 0.9597, d3.loss_bbox: 0.6455, d3.loss_iou: 0.9468, d4.loss_bbox: 0.6398, d4.loss_iou: 0.9403, loss: 12.8717, grad_norm: 15.8162 2022-10-27 00:23:30,839 - mmdet - INFO - Epoch [34][1200/1849] lr: 2.000e-04, eta: 2:54:06, time: 0.358, data_time: 0.009, memory: 4055, loss_contrastive: 3.1469, loss_bbox: 0.6422, loss_iou: 0.9459, d0.loss_bbox: 0.7007, d0.loss_iou: 1.0206, d1.loss_bbox: 0.6751, d1.loss_iou: 0.9872, d2.loss_bbox: 0.6595, d2.loss_iou: 0.9658, d3.loss_bbox: 0.6489, d3.loss_iou: 0.9531, d4.loss_bbox: 0.6428, d4.loss_iou: 0.9468, loss: 12.9354, grad_norm: 13.4251 2022-10-27 00:23:48,637 - mmdet - INFO - Epoch [34][1250/1849] lr: 2.000e-04, eta: 2:53:49, time: 0.356, data_time: 0.008, memory: 4055, loss_contrastive: 3.1371, loss_bbox: 0.6394, loss_iou: 0.9435, d0.loss_bbox: 0.6952, d0.loss_iou: 1.0160, d1.loss_bbox: 0.6722, d1.loss_iou: 0.9848, d2.loss_bbox: 0.6560, d2.loss_iou: 0.9641, d3.loss_bbox: 0.6455, d3.loss_iou: 0.9507, d4.loss_bbox: 0.6400, d4.loss_iou: 0.9444, loss: 12.8890, grad_norm: 13.0522 2022-10-27 00:24:06,258 - mmdet - INFO - Epoch [34][1300/1849] lr: 2.000e-04, eta: 2:53:32, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1377, loss_bbox: 0.6385, loss_iou: 0.9430, d0.loss_bbox: 0.6964, d0.loss_iou: 1.0176, d1.loss_bbox: 0.6725, d1.loss_iou: 0.9845, d2.loss_bbox: 0.6557, d2.loss_iou: 0.9628, d3.loss_bbox: 0.6451, d3.loss_iou: 0.9501, d4.loss_bbox: 0.6391, d4.loss_iou: 0.9438, loss: 12.8867, grad_norm: 16.0342 2022-10-27 00:24:23,814 - mmdet - INFO - Epoch [34][1350/1849] lr: 2.000e-04, eta: 2:53:15, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1331, loss_bbox: 0.6396, loss_iou: 0.9412, d0.loss_bbox: 0.6955, d0.loss_iou: 1.0144, d1.loss_bbox: 0.6720, d1.loss_iou: 0.9825, d2.loss_bbox: 0.6571, d2.loss_iou: 0.9624, d3.loss_bbox: 0.6462, d3.loss_iou: 0.9489, d4.loss_bbox: 0.6401, d4.loss_iou: 0.9423, loss: 12.8755, grad_norm: 16.4925 2022-10-27 00:24:41,404 - mmdet - INFO - Epoch [34][1400/1849] lr: 2.000e-04, eta: 2:52:58, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1384, loss_bbox: 0.6376, loss_iou: 0.9424, d0.loss_bbox: 0.6947, d0.loss_iou: 1.0155, d1.loss_bbox: 0.6710, d1.loss_iou: 0.9837, d2.loss_bbox: 0.6550, d2.loss_iou: 0.9630, d3.loss_bbox: 0.6447, d3.loss_iou: 0.9500, d4.loss_bbox: 0.6384, d4.loss_iou: 0.9433, loss: 12.8776, grad_norm: 15.1915 2022-10-27 00:24:58,990 - mmdet - INFO - Epoch [34][1450/1849] lr: 2.000e-04, eta: 2:52:40, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1360, loss_bbox: 0.6380, loss_iou: 0.9399, d0.loss_bbox: 0.6954, d0.loss_iou: 1.0140, d1.loss_bbox: 0.6709, d1.loss_iou: 0.9808, d2.loss_bbox: 0.6551, d2.loss_iou: 0.9609, d3.loss_bbox: 0.6447, d3.loss_iou: 0.9477, d4.loss_bbox: 0.6385, d4.loss_iou: 0.9412, loss: 12.8632, grad_norm: 14.8196 2022-10-27 00:25:16,840 - mmdet - INFO - Epoch [34][1500/1849] lr: 2.000e-04, eta: 2:52:23, time: 0.357, data_time: 0.009, memory: 4055, loss_contrastive: 3.1379, loss_bbox: 0.6365, loss_iou: 0.9449, d0.loss_bbox: 0.6930, d0.loss_iou: 1.0178, d1.loss_bbox: 0.6692, d1.loss_iou: 0.9863, d2.loss_bbox: 0.6541, d2.loss_iou: 0.9659, d3.loss_bbox: 0.6430, d3.loss_iou: 0.9526, d4.loss_bbox: 0.6373, d4.loss_iou: 0.9457, loss: 12.8842, grad_norm: 14.8445 2022-10-27 00:25:34,298 - mmdet - INFO - Epoch [34][1550/1849] lr: 2.000e-04, eta: 2:52:06, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1328, loss_bbox: 0.6369, loss_iou: 0.9407, d0.loss_bbox: 0.6936, d0.loss_iou: 1.0139, d1.loss_bbox: 0.6698, d1.loss_iou: 0.9806, d2.loss_bbox: 0.6549, d2.loss_iou: 0.9609, d3.loss_bbox: 0.6429, d3.loss_iou: 0.9485, d4.loss_bbox: 0.6376, d4.loss_iou: 0.9417, loss: 12.8547, grad_norm: 14.4410 2022-10-27 00:25:51,721 - mmdet - INFO - Epoch [34][1600/1849] lr: 2.000e-04, eta: 2:51:49, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1339, loss_bbox: 0.6391, loss_iou: 0.9393, d0.loss_bbox: 0.6963, d0.loss_iou: 1.0133, d1.loss_bbox: 0.6722, d1.loss_iou: 0.9805, d2.loss_bbox: 0.6563, d2.loss_iou: 0.9603, d3.loss_bbox: 0.6451, d3.loss_iou: 0.9466, d4.loss_bbox: 0.6395, d4.loss_iou: 0.9405, loss: 12.8628, grad_norm: 15.3288 2022-10-27 00:26:09,291 - mmdet - INFO - Epoch [34][1650/1849] lr: 2.000e-04, eta: 2:51:32, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1469, loss_bbox: 0.6418, loss_iou: 0.9413, d0.loss_bbox: 0.6985, d0.loss_iou: 1.0167, d1.loss_bbox: 0.6748, d1.loss_iou: 0.9842, d2.loss_bbox: 0.6601, d2.loss_iou: 0.9631, d3.loss_bbox: 0.6487, d3.loss_iou: 0.9498, d4.loss_bbox: 0.6424, d4.loss_iou: 0.9424, loss: 12.9106, grad_norm: 13.2861 2022-10-27 00:26:27,064 - mmdet - INFO - Epoch [34][1700/1849] lr: 2.000e-04, eta: 2:51:15, time: 0.355, data_time: 0.009, memory: 4055, loss_contrastive: 3.1364, loss_bbox: 0.6393, loss_iou: 0.9442, d0.loss_bbox: 0.6961, d0.loss_iou: 1.0185, d1.loss_bbox: 0.6720, d1.loss_iou: 0.9858, d2.loss_bbox: 0.6561, d2.loss_iou: 0.9658, d3.loss_bbox: 0.6458, d3.loss_iou: 0.9524, d4.loss_bbox: 0.6399, d4.loss_iou: 0.9453, loss: 12.8975, grad_norm: 14.1691 2022-10-27 00:26:44,461 - mmdet - INFO - Epoch [34][1750/1849] lr: 2.000e-04, eta: 2:50:58, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1336, loss_bbox: 0.6360, loss_iou: 0.9411, d0.loss_bbox: 0.6916, d0.loss_iou: 1.0139, d1.loss_bbox: 0.6679, d1.loss_iou: 0.9819, d2.loss_bbox: 0.6524, d2.loss_iou: 0.9622, d3.loss_bbox: 0.6424, d3.loss_iou: 0.9489, d4.loss_bbox: 0.6369, d4.loss_iou: 0.9420, loss: 12.8508, grad_norm: 14.0045 2022-10-27 00:27:01,921 - mmdet - INFO - Epoch [34][1800/1849] lr: 2.000e-04, eta: 2:50:40, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1373, loss_bbox: 0.6403, loss_iou: 0.9431, d0.loss_bbox: 0.6956, d0.loss_iou: 1.0158, d1.loss_bbox: 0.6714, d1.loss_iou: 0.9835, d2.loss_bbox: 0.6563, d2.loss_iou: 0.9635, d3.loss_bbox: 0.6464, d3.loss_iou: 0.9507, d4.loss_bbox: 0.6409, d4.loss_iou: 0.9440, loss: 12.8887, grad_norm: 12.8177 2022-10-27 00:27:19,388 - mmdet - INFO - Saving checkpoint at 34 epochs 2022-10-27 00:27:41,373 - mmdet - INFO - Epoch [35][50/1849] lr: 2.000e-04, eta: 2:50:00, time: 0.415, data_time: 0.070, memory: 4055, loss_contrastive: 3.1348, loss_bbox: 0.6390, loss_iou: 0.9436, d0.loss_bbox: 0.6964, d0.loss_iou: 1.0173, d1.loss_bbox: 0.6718, d1.loss_iou: 0.9850, d2.loss_bbox: 0.6567, d2.loss_iou: 0.9643, d3.loss_bbox: 0.6454, d3.loss_iou: 0.9509, d4.loss_bbox: 0.6395, d4.loss_iou: 0.9439, loss: 12.8888, grad_norm: 13.1529 2022-10-27 00:27:59,026 - mmdet - INFO - Epoch [35][100/1849] lr: 2.000e-04, eta: 2:49:43, time: 0.353, data_time: 0.008, memory: 4055, loss_contrastive: 3.1408, loss_bbox: 0.6407, loss_iou: 0.9438, d0.loss_bbox: 0.6955, d0.loss_iou: 1.0170, d1.loss_bbox: 0.6732, d1.loss_iou: 0.9857, d2.loss_bbox: 0.6576, d2.loss_iou: 0.9644, d3.loss_bbox: 0.6476, d3.loss_iou: 0.9512, d4.loss_bbox: 0.6414, d4.loss_iou: 0.9448, loss: 12.9037, grad_norm: 13.1442 2022-10-27 00:28:16,986 - mmdet - INFO - Epoch [35][150/1849] lr: 2.000e-04, eta: 2:49:26, time: 0.359, data_time: 0.008, memory: 4055, loss_contrastive: 3.1407, loss_bbox: 0.6367, loss_iou: 0.9398, d0.loss_bbox: 0.6934, d0.loss_iou: 1.0128, d1.loss_bbox: 0.6678, d1.loss_iou: 0.9802, d2.loss_bbox: 0.6532, d2.loss_iou: 0.9600, d3.loss_bbox: 0.6427, d3.loss_iou: 0.9474, d4.loss_bbox: 0.6372, d4.loss_iou: 0.9407, loss: 12.8526, grad_norm: 16.1860 2022-10-27 00:28:34,399 - mmdet - INFO - Epoch [35][200/1849] lr: 2.000e-04, eta: 2:49:09, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1339, loss_bbox: 0.6349, loss_iou: 0.9420, d0.loss_bbox: 0.6930, d0.loss_iou: 1.0187, d1.loss_bbox: 0.6682, d1.loss_iou: 0.9852, d2.loss_bbox: 0.6532, d2.loss_iou: 0.9631, d3.loss_bbox: 0.6419, d3.loss_iou: 0.9495, d4.loss_bbox: 0.6357, d4.loss_iou: 0.9429, loss: 12.8621, grad_norm: 16.7155 2022-10-27 00:28:52,078 - mmdet - INFO - Epoch [35][250/1849] lr: 2.000e-04, eta: 2:48:52, time: 0.353, data_time: 0.008, memory: 4055, loss_contrastive: 3.1312, loss_bbox: 0.6370, loss_iou: 0.9393, d0.loss_bbox: 0.6955, d0.loss_iou: 1.0119, d1.loss_bbox: 0.6705, d1.loss_iou: 0.9797, d2.loss_bbox: 0.6554, d2.loss_iou: 0.9593, d3.loss_bbox: 0.6439, d3.loss_iou: 0.9471, d4.loss_bbox: 0.6377, d4.loss_iou: 0.9405, loss: 12.8490, grad_norm: 14.6732 2022-10-27 00:29:09,527 - mmdet - INFO - Epoch [35][300/1849] lr: 2.000e-04, eta: 2:48:34, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1302, loss_bbox: 0.6400, loss_iou: 0.9391, d0.loss_bbox: 0.6975, d0.loss_iou: 1.0117, d1.loss_bbox: 0.6724, d1.loss_iou: 0.9798, d2.loss_bbox: 0.6571, d2.loss_iou: 0.9597, d3.loss_bbox: 0.6462, d3.loss_iou: 0.9469, d4.loss_bbox: 0.6405, d4.loss_iou: 0.9403, loss: 12.8614, grad_norm: 14.3576 2022-10-27 00:29:27,160 - mmdet - INFO - Epoch [35][350/1849] lr: 2.000e-04, eta: 2:48:17, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1461, loss_bbox: 0.6382, loss_iou: 0.9409, d0.loss_bbox: 0.6953, d0.loss_iou: 1.0142, d1.loss_bbox: 0.6706, d1.loss_iou: 0.9810, d2.loss_bbox: 0.6552, d2.loss_iou: 0.9617, d3.loss_bbox: 0.6443, d3.loss_iou: 0.9484, d4.loss_bbox: 0.6387, d4.loss_iou: 0.9414, loss: 12.8759, grad_norm: 13.4695 2022-10-27 00:29:44,674 - mmdet - INFO - Epoch [35][400/1849] lr: 2.000e-04, eta: 2:48:00, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1362, loss_bbox: 0.6379, loss_iou: 0.9387, d0.loss_bbox: 0.6941, d0.loss_iou: 1.0113, d1.loss_bbox: 0.6700, d1.loss_iou: 0.9793, d2.loss_bbox: 0.6545, d2.loss_iou: 0.9588, d3.loss_bbox: 0.6442, d3.loss_iou: 0.9472, d4.loss_bbox: 0.6384, d4.loss_iou: 0.9400, loss: 12.8507, grad_norm: 14.1270 2022-10-27 00:30:02,175 - mmdet - INFO - Epoch [35][450/1849] lr: 2.000e-04, eta: 2:47:43, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1297, loss_bbox: 0.6394, loss_iou: 0.9443, d0.loss_bbox: 0.6959, d0.loss_iou: 1.0171, d1.loss_bbox: 0.6719, d1.loss_iou: 0.9854, d2.loss_bbox: 0.6560, d2.loss_iou: 0.9655, d3.loss_bbox: 0.6455, d3.loss_iou: 0.9524, d4.loss_bbox: 0.6399, d4.loss_iou: 0.9455, loss: 12.8885, grad_norm: 16.8854 2022-10-27 00:30:19,779 - mmdet - INFO - Epoch [35][500/1849] lr: 2.000e-04, eta: 2:47:26, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1377, loss_bbox: 0.6397, loss_iou: 0.9470, d0.loss_bbox: 0.6977, d0.loss_iou: 1.0206, d1.loss_bbox: 0.6723, d1.loss_iou: 0.9883, d2.loss_bbox: 0.6567, d2.loss_iou: 0.9670, d3.loss_bbox: 0.6461, d3.loss_iou: 0.9541, d4.loss_bbox: 0.6403, d4.loss_iou: 0.9478, loss: 12.9154, grad_norm: 15.4500 2022-10-27 00:30:37,149 - mmdet - INFO - Epoch [35][550/1849] lr: 2.000e-04, eta: 2:47:09, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1311, loss_bbox: 0.6407, loss_iou: 0.9423, d0.loss_bbox: 0.6952, d0.loss_iou: 1.0138, d1.loss_bbox: 0.6721, d1.loss_iou: 0.9829, d2.loss_bbox: 0.6570, d2.loss_iou: 0.9623, d3.loss_bbox: 0.6471, d3.loss_iou: 0.9507, d4.loss_bbox: 0.6413, d4.loss_iou: 0.9436, loss: 12.8801, grad_norm: 12.6190 2022-10-27 00:30:54,676 - mmdet - INFO - Epoch [35][600/1849] lr: 2.000e-04, eta: 2:46:52, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1381, loss_bbox: 0.6376, loss_iou: 0.9405, d0.loss_bbox: 0.6950, d0.loss_iou: 1.0150, d1.loss_bbox: 0.6708, d1.loss_iou: 0.9821, d2.loss_bbox: 0.6545, d2.loss_iou: 0.9613, d3.loss_bbox: 0.6443, d3.loss_iou: 0.9477, d4.loss_bbox: 0.6386, d4.loss_iou: 0.9413, loss: 12.8666, grad_norm: 14.0014 2022-10-27 00:31:12,413 - mmdet - INFO - Epoch [35][650/1849] lr: 2.000e-04, eta: 2:46:34, time: 0.355, data_time: 0.008, memory: 4055, loss_contrastive: 3.1369, loss_bbox: 0.6380, loss_iou: 0.9427, d0.loss_bbox: 0.6949, d0.loss_iou: 1.0152, d1.loss_bbox: 0.6703, d1.loss_iou: 0.9843, d2.loss_bbox: 0.6550, d2.loss_iou: 0.9637, d3.loss_bbox: 0.6443, d3.loss_iou: 0.9502, d4.loss_bbox: 0.6384, d4.loss_iou: 0.9436, loss: 12.8775, grad_norm: 13.1377 2022-10-27 00:31:30,310 - mmdet - INFO - Epoch [35][700/1849] lr: 2.000e-04, eta: 2:46:17, time: 0.358, data_time: 0.008, memory: 4055, loss_contrastive: 3.1353, loss_bbox: 0.6382, loss_iou: 0.9435, d0.loss_bbox: 0.6952, d0.loss_iou: 1.0171, d1.loss_bbox: 0.6706, d1.loss_iou: 0.9848, d2.loss_bbox: 0.6549, d2.loss_iou: 0.9643, d3.loss_bbox: 0.6447, d3.loss_iou: 0.9510, d4.loss_bbox: 0.6387, d4.loss_iou: 0.9445, loss: 12.8827, grad_norm: 14.1273 2022-10-27 00:31:48,106 - mmdet - INFO - Epoch [35][750/1849] lr: 2.000e-04, eta: 2:46:00, time: 0.356, data_time: 0.008, memory: 4055, loss_contrastive: 3.1390, loss_bbox: 0.6437, loss_iou: 0.9481, d0.loss_bbox: 0.6996, d0.loss_iou: 1.0199, d1.loss_bbox: 0.6749, d1.loss_iou: 0.9876, d2.loss_bbox: 0.6603, d2.loss_iou: 0.9674, d3.loss_bbox: 0.6496, d3.loss_iou: 0.9555, d4.loss_bbox: 0.6444, d4.loss_iou: 0.9487, loss: 12.9386, grad_norm: 14.7083 2022-10-27 00:32:05,467 - mmdet - INFO - Epoch [35][800/1849] lr: 2.000e-04, eta: 2:45:43, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1372, loss_bbox: 0.6382, loss_iou: 0.9406, d0.loss_bbox: 0.6952, d0.loss_iou: 1.0142, d1.loss_bbox: 0.6707, d1.loss_iou: 0.9813, d2.loss_bbox: 0.6557, d2.loss_iou: 0.9610, d3.loss_bbox: 0.6451, d3.loss_iou: 0.9483, d4.loss_bbox: 0.6390, d4.loss_iou: 0.9419, loss: 12.8683, grad_norm: 12.6338 2022-10-27 00:32:23,238 - mmdet - INFO - Epoch [35][850/1849] lr: 2.000e-04, eta: 2:45:26, time: 0.356, data_time: 0.008, memory: 4055, loss_contrastive: 3.1332, loss_bbox: 0.6404, loss_iou: 0.9427, d0.loss_bbox: 0.6977, d0.loss_iou: 1.0164, d1.loss_bbox: 0.6732, d1.loss_iou: 0.9840, d2.loss_bbox: 0.6578, d2.loss_iou: 0.9629, d3.loss_bbox: 0.6470, d3.loss_iou: 0.9499, d4.loss_bbox: 0.6413, d4.loss_iou: 0.9436, loss: 12.8901, grad_norm: 13.5705 2022-10-27 00:32:40,613 - mmdet - INFO - Epoch [35][900/1849] lr: 2.000e-04, eta: 2:45:09, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1369, loss_bbox: 0.6381, loss_iou: 0.9419, d0.loss_bbox: 0.6977, d0.loss_iou: 1.0154, d1.loss_bbox: 0.6718, d1.loss_iou: 0.9837, d2.loss_bbox: 0.6561, d2.loss_iou: 0.9622, d3.loss_bbox: 0.6452, d3.loss_iou: 0.9491, d4.loss_bbox: 0.6388, d4.loss_iou: 0.9429, loss: 12.8799, grad_norm: 12.8296 2022-10-27 00:32:58,213 - mmdet - INFO - Epoch [35][950/1849] lr: 2.000e-04, eta: 2:44:52, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1448, loss_bbox: 0.6414, loss_iou: 0.9416, d0.loss_bbox: 0.6996, d0.loss_iou: 1.0144, d1.loss_bbox: 0.6755, d1.loss_iou: 0.9830, d2.loss_bbox: 0.6592, d2.loss_iou: 0.9620, d3.loss_bbox: 0.6485, d3.loss_iou: 0.9491, d4.loss_bbox: 0.6422, d4.loss_iou: 0.9427, loss: 12.9038, grad_norm: 14.3671 2022-10-27 00:33:15,820 - mmdet - INFO - Epoch [35][1000/1849] lr: 2.000e-04, eta: 2:44:35, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1407, loss_bbox: 0.6414, loss_iou: 0.9422, d0.loss_bbox: 0.6960, d0.loss_iou: 1.0144, d1.loss_bbox: 0.6725, d1.loss_iou: 0.9827, d2.loss_bbox: 0.6588, d2.loss_iou: 0.9621, d3.loss_bbox: 0.6476, d3.loss_iou: 0.9492, d4.loss_bbox: 0.6423, d4.loss_iou: 0.9430, loss: 12.8930, grad_norm: 14.9000 2022-10-27 00:33:33,449 - mmdet - INFO - Epoch [35][1050/1849] lr: 2.000e-04, eta: 2:44:18, time: 0.353, data_time: 0.008, memory: 4055, loss_contrastive: 3.1386, loss_bbox: 0.6386, loss_iou: 0.9440, d0.loss_bbox: 0.6962, d0.loss_iou: 1.0185, d1.loss_bbox: 0.6717, d1.loss_iou: 0.9858, d2.loss_bbox: 0.6568, d2.loss_iou: 0.9651, d3.loss_bbox: 0.6453, d3.loss_iou: 0.9511, d4.loss_bbox: 0.6394, d4.loss_iou: 0.9448, loss: 12.8959, grad_norm: 14.4492 2022-10-27 00:33:50,897 - mmdet - INFO - Epoch [35][1100/1849] lr: 2.000e-04, eta: 2:44:00, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1329, loss_bbox: 0.6400, loss_iou: 0.9418, d0.loss_bbox: 0.6965, d0.loss_iou: 1.0151, d1.loss_bbox: 0.6730, d1.loss_iou: 0.9825, d2.loss_bbox: 0.6570, d2.loss_iou: 0.9623, d3.loss_bbox: 0.6464, d3.loss_iou: 0.9492, d4.loss_bbox: 0.6407, d4.loss_iou: 0.9427, loss: 12.8800, grad_norm: 13.9956 2022-10-27 00:34:08,316 - mmdet - INFO - Epoch [35][1150/1849] lr: 2.000e-04, eta: 2:43:43, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1400, loss_bbox: 0.6421, loss_iou: 0.9428, d0.loss_bbox: 0.6987, d0.loss_iou: 1.0172, d1.loss_bbox: 0.6745, d1.loss_iou: 0.9848, d2.loss_bbox: 0.6589, d2.loss_iou: 0.9637, d3.loss_bbox: 0.6483, d3.loss_iou: 0.9505, d4.loss_bbox: 0.6426, d4.loss_iou: 0.9436, loss: 12.9078, grad_norm: 13.5273 2022-10-27 00:34:25,766 - mmdet - INFO - Epoch [35][1200/1849] lr: 2.000e-04, eta: 2:43:26, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1399, loss_bbox: 0.6401, loss_iou: 0.9424, d0.loss_bbox: 0.6979, d0.loss_iou: 1.0170, d1.loss_bbox: 0.6727, d1.loss_iou: 0.9828, d2.loss_bbox: 0.6569, d2.loss_iou: 0.9625, d3.loss_bbox: 0.6460, d3.loss_iou: 0.9497, d4.loss_bbox: 0.6406, d4.loss_iou: 0.9434, loss: 12.8920, grad_norm: 13.6522 2022-10-27 00:34:43,186 - mmdet - INFO - Epoch [35][1250/1849] lr: 2.000e-04, eta: 2:43:09, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1373, loss_bbox: 0.6406, loss_iou: 0.9456, d0.loss_bbox: 0.6967, d0.loss_iou: 1.0185, d1.loss_bbox: 0.6739, d1.loss_iou: 0.9872, d2.loss_bbox: 0.6575, d2.loss_iou: 0.9663, d3.loss_bbox: 0.6466, d3.loss_iou: 0.9536, d4.loss_bbox: 0.6414, d4.loss_iou: 0.9464, loss: 12.9115, grad_norm: 12.2597 2022-10-27 00:35:00,602 - mmdet - INFO - Epoch [35][1300/1849] lr: 2.000e-04, eta: 2:42:52, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1304, loss_bbox: 0.6401, loss_iou: 0.9434, d0.loss_bbox: 0.6975, d0.loss_iou: 1.0198, d1.loss_bbox: 0.6737, d1.loss_iou: 0.9863, d2.loss_bbox: 0.6573, d2.loss_iou: 0.9646, d3.loss_bbox: 0.6466, d3.loss_iou: 0.9516, d4.loss_bbox: 0.6408, d4.loss_iou: 0.9441, loss: 12.8962, grad_norm: 12.7470 2022-10-27 00:35:18,149 - mmdet - INFO - Epoch [35][1350/1849] lr: 2.000e-04, eta: 2:42:34, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1288, loss_bbox: 0.6402, loss_iou: 0.9433, d0.loss_bbox: 0.6971, d0.loss_iou: 1.0163, d1.loss_bbox: 0.6726, d1.loss_iou: 0.9838, d2.loss_bbox: 0.6569, d2.loss_iou: 0.9628, d3.loss_bbox: 0.6472, d3.loss_iou: 0.9503, d4.loss_bbox: 0.6410, d4.loss_iou: 0.9444, loss: 12.8845, grad_norm: 15.0138 2022-10-27 00:35:35,916 - mmdet - INFO - Epoch [35][1400/1849] lr: 2.000e-04, eta: 2:42:17, time: 0.355, data_time: 0.008, memory: 4055, loss_contrastive: 3.1357, loss_bbox: 0.6427, loss_iou: 0.9455, d0.loss_bbox: 0.6989, d0.loss_iou: 1.0189, d1.loss_bbox: 0.6750, d1.loss_iou: 0.9871, d2.loss_bbox: 0.6596, d2.loss_iou: 0.9665, d3.loss_bbox: 0.6491, d3.loss_iou: 0.9529, d4.loss_bbox: 0.6430, d4.loss_iou: 0.9465, loss: 12.9214, grad_norm: 13.3275 2022-10-27 00:35:53,322 - mmdet - INFO - Epoch [35][1450/1849] lr: 2.000e-04, eta: 2:42:00, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1317, loss_bbox: 0.6379, loss_iou: 0.9405, d0.loss_bbox: 0.6951, d0.loss_iou: 1.0163, d1.loss_bbox: 0.6706, d1.loss_iou: 0.9821, d2.loss_bbox: 0.6553, d2.loss_iou: 0.9613, d3.loss_bbox: 0.6445, d3.loss_iou: 0.9481, d4.loss_bbox: 0.6387, d4.loss_iou: 0.9411, loss: 12.8632, grad_norm: 15.4488 2022-10-27 00:36:10,773 - mmdet - INFO - Epoch [35][1500/1849] lr: 2.000e-04, eta: 2:41:43, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1391, loss_bbox: 0.6399, loss_iou: 0.9396, d0.loss_bbox: 0.6961, d0.loss_iou: 1.0124, d1.loss_bbox: 0.6724, d1.loss_iou: 0.9813, d2.loss_bbox: 0.6571, d2.loss_iou: 0.9607, d3.loss_bbox: 0.6467, d3.loss_iou: 0.9475, d4.loss_bbox: 0.6406, d4.loss_iou: 0.9404, loss: 12.8737, grad_norm: 13.9793 2022-10-27 00:36:28,176 - mmdet - INFO - Epoch [35][1550/1849] lr: 2.000e-04, eta: 2:41:26, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1355, loss_bbox: 0.6344, loss_iou: 0.9360, d0.loss_bbox: 0.6926, d0.loss_iou: 1.0123, d1.loss_bbox: 0.6672, d1.loss_iou: 0.9785, d2.loss_bbox: 0.6526, d2.loss_iou: 0.9577, d3.loss_bbox: 0.6413, d3.loss_iou: 0.9441, d4.loss_bbox: 0.6351, d4.loss_iou: 0.9370, loss: 12.8243, grad_norm: 12.3069 2022-10-27 00:36:45,740 - mmdet - INFO - Epoch [35][1600/1849] lr: 2.000e-04, eta: 2:41:09, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1337, loss_bbox: 0.6405, loss_iou: 0.9447, d0.loss_bbox: 0.6965, d0.loss_iou: 1.0180, d1.loss_bbox: 0.6729, d1.loss_iou: 0.9856, d2.loss_bbox: 0.6574, d2.loss_iou: 0.9650, d3.loss_bbox: 0.6465, d3.loss_iou: 0.9522, d4.loss_bbox: 0.6410, d4.loss_iou: 0.9455, loss: 12.8995, grad_norm: 13.4081 2022-10-27 00:37:03,362 - mmdet - INFO - Epoch [35][1650/1849] lr: 2.000e-04, eta: 2:40:51, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1362, loss_bbox: 0.6402, loss_iou: 0.9430, d0.loss_bbox: 0.6979, d0.loss_iou: 1.0158, d1.loss_bbox: 0.6730, d1.loss_iou: 0.9841, d2.loss_bbox: 0.6571, d2.loss_iou: 0.9629, d3.loss_bbox: 0.6463, d3.loss_iou: 0.9513, d4.loss_bbox: 0.6409, d4.loss_iou: 0.9439, loss: 12.8925, grad_norm: 15.0436 2022-10-27 00:37:20,842 - mmdet - INFO - Epoch [35][1700/1849] lr: 2.000e-04, eta: 2:40:34, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1296, loss_bbox: 0.6384, loss_iou: 0.9406, d0.loss_bbox: 0.6956, d0.loss_iou: 1.0131, d1.loss_bbox: 0.6697, d1.loss_iou: 0.9820, d2.loss_bbox: 0.6553, d2.loss_iou: 0.9616, d3.loss_bbox: 0.6446, d3.loss_iou: 0.9490, d4.loss_bbox: 0.6390, d4.loss_iou: 0.9416, loss: 12.8601, grad_norm: 14.3292 2022-10-27 00:37:38,239 - mmdet - INFO - Epoch [35][1750/1849] lr: 2.000e-04, eta: 2:40:17, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1344, loss_bbox: 0.6381, loss_iou: 0.9387, d0.loss_bbox: 0.6970, d0.loss_iou: 1.0135, d1.loss_bbox: 0.6717, d1.loss_iou: 0.9796, d2.loss_bbox: 0.6561, d2.loss_iou: 0.9592, d3.loss_bbox: 0.6448, d3.loss_iou: 0.9466, d4.loss_bbox: 0.6388, d4.loss_iou: 0.9397, loss: 12.8584, grad_norm: 13.9362 2022-10-27 00:37:55,673 - mmdet - INFO - Epoch [35][1800/1849] lr: 2.000e-04, eta: 2:40:00, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1358, loss_bbox: 0.6370, loss_iou: 0.9420, d0.loss_bbox: 0.6933, d0.loss_iou: 1.0182, d1.loss_bbox: 0.6686, d1.loss_iou: 0.9846, d2.loss_bbox: 0.6534, d2.loss_iou: 0.9631, d3.loss_bbox: 0.6430, d3.loss_iou: 0.9500, d4.loss_bbox: 0.6377, d4.loss_iou: 0.9432, loss: 12.8699, grad_norm: 14.4491 2022-10-27 00:38:12,759 - mmdet - INFO - Saving checkpoint at 35 epochs 2022-10-27 00:38:34,767 - mmdet - INFO - Epoch [36][50/1849] lr: 2.000e-04, eta: 2:39:20, time: 0.414, data_time: 0.071, memory: 4055, loss_contrastive: 3.1395, loss_bbox: 0.6398, loss_iou: 0.9405, d0.loss_bbox: 0.6971, d0.loss_iou: 1.0147, d1.loss_bbox: 0.6726, d1.loss_iou: 0.9822, d2.loss_bbox: 0.6575, d2.loss_iou: 0.9619, d3.loss_bbox: 0.6460, d3.loss_iou: 0.9489, d4.loss_bbox: 0.6405, d4.loss_iou: 0.9413, loss: 12.8824, grad_norm: 12.4112 2022-10-27 00:38:52,358 - mmdet - INFO - Epoch [36][100/1849] lr: 2.000e-04, eta: 2:39:03, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1343, loss_bbox: 0.6398, loss_iou: 0.9413, d0.loss_bbox: 0.6967, d0.loss_iou: 1.0164, d1.loss_bbox: 0.6725, d1.loss_iou: 0.9825, d2.loss_bbox: 0.6567, d2.loss_iou: 0.9622, d3.loss_bbox: 0.6462, d3.loss_iou: 0.9495, d4.loss_bbox: 0.6405, d4.loss_iou: 0.9421, loss: 12.8807, grad_norm: 16.1484 2022-10-27 00:39:09,713 - mmdet - INFO - Epoch [36][150/1849] lr: 2.000e-04, eta: 2:38:45, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1377, loss_bbox: 0.6390, loss_iou: 0.9416, d0.loss_bbox: 0.6965, d0.loss_iou: 1.0141, d1.loss_bbox: 0.6710, d1.loss_iou: 0.9814, d2.loss_bbox: 0.6560, d2.loss_iou: 0.9617, d3.loss_bbox: 0.6459, d3.loss_iou: 0.9491, d4.loss_bbox: 0.6400, d4.loss_iou: 0.9427, loss: 12.8767, grad_norm: 14.3220 2022-10-27 00:39:27,623 - mmdet - INFO - Epoch [36][200/1849] lr: 2.000e-04, eta: 2:38:28, time: 0.358, data_time: 0.008, memory: 4055, loss_contrastive: 3.1320, loss_bbox: 0.6398, loss_iou: 0.9446, d0.loss_bbox: 0.6963, d0.loss_iou: 1.0181, d1.loss_bbox: 0.6722, d1.loss_iou: 0.9847, d2.loss_bbox: 0.6568, d2.loss_iou: 0.9645, d3.loss_bbox: 0.6466, d3.loss_iou: 0.9518, d4.loss_bbox: 0.6405, d4.loss_iou: 0.9457, loss: 12.8934, grad_norm: 14.5173 2022-10-27 00:39:45,242 - mmdet - INFO - Epoch [36][250/1849] lr: 2.000e-04, eta: 2:38:11, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1361, loss_bbox: 0.6355, loss_iou: 0.9415, d0.loss_bbox: 0.6925, d0.loss_iou: 1.0167, d1.loss_bbox: 0.6684, d1.loss_iou: 0.9839, d2.loss_bbox: 0.6531, d2.loss_iou: 0.9623, d3.loss_bbox: 0.6417, d3.loss_iou: 0.9491, d4.loss_bbox: 0.6364, d4.loss_iou: 0.9423, loss: 12.8596, grad_norm: 13.0179 2022-10-27 00:40:02,519 - mmdet - INFO - Epoch [36][300/1849] lr: 2.000e-04, eta: 2:37:54, time: 0.346, data_time: 0.008, memory: 4055, loss_contrastive: 3.1346, loss_bbox: 0.6393, loss_iou: 0.9436, d0.loss_bbox: 0.6956, d0.loss_iou: 1.0152, d1.loss_bbox: 0.6713, d1.loss_iou: 0.9825, d2.loss_bbox: 0.6562, d2.loss_iou: 0.9633, d3.loss_bbox: 0.6454, d3.loss_iou: 0.9512, d4.loss_bbox: 0.6401, d4.loss_iou: 0.9447, loss: 12.8830, grad_norm: 14.3962 2022-10-27 00:40:20,119 - mmdet - INFO - Epoch [36][350/1849] lr: 2.000e-04, eta: 2:37:37, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1408, loss_bbox: 0.6387, loss_iou: 0.9374, d0.loss_bbox: 0.6961, d0.loss_iou: 1.0124, d1.loss_bbox: 0.6700, d1.loss_iou: 0.9793, d2.loss_bbox: 0.6557, d2.loss_iou: 0.9583, d3.loss_bbox: 0.6447, d3.loss_iou: 0.9452, d4.loss_bbox: 0.6397, d4.loss_iou: 0.9385, loss: 12.8568, grad_norm: 14.8395 2022-10-27 00:40:37,635 - mmdet - INFO - Epoch [36][400/1849] lr: 2.000e-04, eta: 2:37:20, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1334, loss_bbox: 0.6393, loss_iou: 0.9367, d0.loss_bbox: 0.6972, d0.loss_iou: 1.0125, d1.loss_bbox: 0.6724, d1.loss_iou: 0.9792, d2.loss_bbox: 0.6573, d2.loss_iou: 0.9574, d3.loss_bbox: 0.6466, d3.loss_iou: 0.9447, d4.loss_bbox: 0.6400, d4.loss_iou: 0.9376, loss: 12.8542, grad_norm: 13.7656 2022-10-27 00:40:55,363 - mmdet - INFO - Epoch [36][450/1849] lr: 2.000e-04, eta: 2:37:03, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1295, loss_bbox: 0.6426, loss_iou: 0.9459, d0.loss_bbox: 0.7015, d0.loss_iou: 1.0213, d1.loss_bbox: 0.6765, d1.loss_iou: 0.9869, d2.loss_bbox: 0.6610, d2.loss_iou: 0.9671, d3.loss_bbox: 0.6501, d3.loss_iou: 0.9539, d4.loss_bbox: 0.6435, d4.loss_iou: 0.9468, loss: 12.9268, grad_norm: 12.9657 2022-10-27 00:41:12,746 - mmdet - INFO - Epoch [36][500/1849] lr: 2.000e-04, eta: 2:36:45, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1445, loss_bbox: 0.6374, loss_iou: 0.9394, d0.loss_bbox: 0.6958, d0.loss_iou: 1.0150, d1.loss_bbox: 0.6695, d1.loss_iou: 0.9802, d2.loss_bbox: 0.6539, d2.loss_iou: 0.9596, d3.loss_bbox: 0.6436, d3.loss_iou: 0.9474, d4.loss_bbox: 0.6379, d4.loss_iou: 0.9401, loss: 12.8643, grad_norm: 12.8763 2022-10-27 00:41:30,431 - mmdet - INFO - Epoch [36][550/1849] lr: 2.000e-04, eta: 2:36:28, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1439, loss_bbox: 0.6379, loss_iou: 0.9387, d0.loss_bbox: 0.6970, d0.loss_iou: 1.0146, d1.loss_bbox: 0.6698, d1.loss_iou: 0.9801, d2.loss_bbox: 0.6551, d2.loss_iou: 0.9597, d3.loss_bbox: 0.6448, d3.loss_iou: 0.9464, d4.loss_bbox: 0.6386, d4.loss_iou: 0.9398, loss: 12.8664, grad_norm: 14.3447 2022-10-27 00:41:47,738 - mmdet - INFO - Epoch [36][600/1849] lr: 2.000e-04, eta: 2:36:11, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1382, loss_bbox: 0.6404, loss_iou: 0.9456, d0.loss_bbox: 0.6960, d0.loss_iou: 1.0187, d1.loss_bbox: 0.6736, d1.loss_iou: 0.9869, d2.loss_bbox: 0.6584, d2.loss_iou: 0.9664, d3.loss_bbox: 0.6476, d3.loss_iou: 0.9535, d4.loss_bbox: 0.6411, d4.loss_iou: 0.9466, loss: 12.9131, grad_norm: 12.3575 2022-10-27 00:42:05,149 - mmdet - INFO - Epoch [36][650/1849] lr: 2.000e-04, eta: 2:35:54, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1460, loss_bbox: 0.6370, loss_iou: 0.9405, d0.loss_bbox: 0.6931, d0.loss_iou: 1.0127, d1.loss_bbox: 0.6703, d1.loss_iou: 0.9816, d2.loss_bbox: 0.6538, d2.loss_iou: 0.9602, d3.loss_bbox: 0.6435, d3.loss_iou: 0.9481, d4.loss_bbox: 0.6377, d4.loss_iou: 0.9413, loss: 12.8657, grad_norm: 13.7854 2022-10-27 00:42:23,085 - mmdet - INFO - Epoch [36][700/1849] lr: 2.000e-04, eta: 2:35:37, time: 0.359, data_time: 0.009, memory: 4055, loss_contrastive: 3.1371, loss_bbox: 0.6355, loss_iou: 0.9392, d0.loss_bbox: 0.6953, d0.loss_iou: 1.0148, d1.loss_bbox: 0.6698, d1.loss_iou: 0.9830, d2.loss_bbox: 0.6545, d2.loss_iou: 0.9613, d3.loss_bbox: 0.6433, d3.loss_iou: 0.9481, d4.loss_bbox: 0.6365, d4.loss_iou: 0.9404, loss: 12.8590, grad_norm: 12.8909 2022-10-27 00:42:40,884 - mmdet - INFO - Epoch [36][750/1849] lr: 2.000e-04, eta: 2:35:20, time: 0.356, data_time: 0.008, memory: 4055, loss_contrastive: 3.1366, loss_bbox: 0.6411, loss_iou: 0.9412, d0.loss_bbox: 0.6973, d0.loss_iou: 1.0140, d1.loss_bbox: 0.6730, d1.loss_iou: 0.9815, d2.loss_bbox: 0.6580, d2.loss_iou: 0.9612, d3.loss_bbox: 0.6478, d3.loss_iou: 0.9487, d4.loss_bbox: 0.6418, d4.loss_iou: 0.9421, loss: 12.8845, grad_norm: 13.1886 2022-10-27 00:42:58,636 - mmdet - INFO - Epoch [36][800/1849] lr: 2.000e-04, eta: 2:35:03, time: 0.355, data_time: 0.008, memory: 4055, loss_contrastive: 3.1327, loss_bbox: 0.6340, loss_iou: 0.9394, d0.loss_bbox: 0.6906, d0.loss_iou: 1.0141, d1.loss_bbox: 0.6656, d1.loss_iou: 0.9808, d2.loss_bbox: 0.6504, d2.loss_iou: 0.9609, d3.loss_bbox: 0.6402, d3.loss_iou: 0.9472, d4.loss_bbox: 0.6346, d4.loss_iou: 0.9406, loss: 12.8312, grad_norm: 13.1800 2022-10-27 00:43:16,327 - mmdet - INFO - Epoch [36][850/1849] lr: 2.000e-04, eta: 2:34:46, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1315, loss_bbox: 0.6378, loss_iou: 0.9396, d0.loss_bbox: 0.6941, d0.loss_iou: 1.0134, d1.loss_bbox: 0.6696, d1.loss_iou: 0.9804, d2.loss_bbox: 0.6552, d2.loss_iou: 0.9603, d3.loss_bbox: 0.6448, d3.loss_iou: 0.9473, d4.loss_bbox: 0.6382, d4.loss_iou: 0.9407, loss: 12.8528, grad_norm: 13.0982 2022-10-27 00:43:34,149 - mmdet - INFO - Epoch [36][900/1849] lr: 2.000e-04, eta: 2:34:29, time: 0.356, data_time: 0.009, memory: 4055, loss_contrastive: 3.1386, loss_bbox: 0.6372, loss_iou: 0.9398, d0.loss_bbox: 0.6936, d0.loss_iou: 1.0120, d1.loss_bbox: 0.6678, d1.loss_iou: 0.9797, d2.loss_bbox: 0.6530, d2.loss_iou: 0.9604, d3.loss_bbox: 0.6438, d3.loss_iou: 0.9477, d4.loss_bbox: 0.6382, d4.loss_iou: 0.9406, loss: 12.8524, grad_norm: 12.5481 2022-10-27 00:43:51,609 - mmdet - INFO - Epoch [36][950/1849] lr: 2.000e-04, eta: 2:34:11, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1369, loss_bbox: 0.6405, loss_iou: 0.9433, d0.loss_bbox: 0.6968, d0.loss_iou: 1.0163, d1.loss_bbox: 0.6718, d1.loss_iou: 0.9841, d2.loss_bbox: 0.6576, d2.loss_iou: 0.9642, d3.loss_bbox: 0.6476, d3.loss_iou: 0.9508, d4.loss_bbox: 0.6413, d4.loss_iou: 0.9442, loss: 12.8954, grad_norm: 14.2540 2022-10-27 00:44:09,116 - mmdet - INFO - Epoch [36][1000/1849] lr: 2.000e-04, eta: 2:33:54, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1374, loss_bbox: 0.6382, loss_iou: 0.9387, d0.loss_bbox: 0.6965, d0.loss_iou: 1.0121, d1.loss_bbox: 0.6719, d1.loss_iou: 0.9800, d2.loss_bbox: 0.6566, d2.loss_iou: 0.9600, d3.loss_bbox: 0.6456, d3.loss_iou: 0.9464, d4.loss_bbox: 0.6393, d4.loss_iou: 0.9393, loss: 12.8619, grad_norm: 12.5874 2022-10-27 00:44:27,154 - mmdet - INFO - Epoch [36][1050/1849] lr: 2.000e-04, eta: 2:33:37, time: 0.361, data_time: 0.009, memory: 4055, loss_contrastive: 3.1358, loss_bbox: 0.6402, loss_iou: 0.9435, d0.loss_bbox: 0.6965, d0.loss_iou: 1.0170, d1.loss_bbox: 0.6739, d1.loss_iou: 0.9855, d2.loss_bbox: 0.6583, d2.loss_iou: 0.9645, d3.loss_bbox: 0.6468, d3.loss_iou: 0.9515, d4.loss_bbox: 0.6407, d4.loss_iou: 0.9444, loss: 12.8986, grad_norm: 13.1272 2022-10-27 00:44:44,697 - mmdet - INFO - Epoch [36][1100/1849] lr: 2.000e-04, eta: 2:33:20, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1466, loss_bbox: 0.6383, loss_iou: 0.9422, d0.loss_bbox: 0.6963, d0.loss_iou: 1.0180, d1.loss_bbox: 0.6709, d1.loss_iou: 0.9834, d2.loss_bbox: 0.6550, d2.loss_iou: 0.9630, d3.loss_bbox: 0.6450, d3.loss_iou: 0.9505, d4.loss_bbox: 0.6388, d4.loss_iou: 0.9433, loss: 12.8913, grad_norm: 15.5782 2022-10-27 00:45:02,211 - mmdet - INFO - Epoch [36][1150/1849] lr: 2.000e-04, eta: 2:33:03, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1390, loss_bbox: 0.6363, loss_iou: 0.9397, d0.loss_bbox: 0.6956, d0.loss_iou: 1.0155, d1.loss_bbox: 0.6710, d1.loss_iou: 0.9827, d2.loss_bbox: 0.6551, d2.loss_iou: 0.9618, d3.loss_bbox: 0.6433, d3.loss_iou: 0.9475, d4.loss_bbox: 0.6371, d4.loss_iou: 0.9411, loss: 12.8657, grad_norm: 14.0304 2022-10-27 00:45:19,639 - mmdet - INFO - Epoch [36][1200/1849] lr: 2.000e-04, eta: 2:32:46, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1300, loss_bbox: 0.6376, loss_iou: 0.9387, d0.loss_bbox: 0.6931, d0.loss_iou: 1.0137, d1.loss_bbox: 0.6701, d1.loss_iou: 0.9800, d2.loss_bbox: 0.6550, d2.loss_iou: 0.9592, d3.loss_bbox: 0.6446, d3.loss_iou: 0.9469, d4.loss_bbox: 0.6386, d4.loss_iou: 0.9397, loss: 12.8473, grad_norm: 12.9457 2022-10-27 00:45:37,131 - mmdet - INFO - Epoch [36][1250/1849] lr: 2.000e-04, eta: 2:32:29, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1364, loss_bbox: 0.6395, loss_iou: 0.9403, d0.loss_bbox: 0.6965, d0.loss_iou: 1.0130, d1.loss_bbox: 0.6718, d1.loss_iou: 0.9807, d2.loss_bbox: 0.6567, d2.loss_iou: 0.9605, d3.loss_bbox: 0.6463, d3.loss_iou: 0.9476, d4.loss_bbox: 0.6400, d4.loss_iou: 0.9416, loss: 12.8711, grad_norm: 12.3148 2022-10-27 00:45:54,630 - mmdet - INFO - Epoch [36][1300/1849] lr: 2.000e-04, eta: 2:32:11, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1423, loss_bbox: 0.6396, loss_iou: 0.9409, d0.loss_bbox: 0.6964, d0.loss_iou: 1.0162, d1.loss_bbox: 0.6719, d1.loss_iou: 0.9821, d2.loss_bbox: 0.6565, d2.loss_iou: 0.9620, d3.loss_bbox: 0.6463, d3.loss_iou: 0.9490, d4.loss_bbox: 0.6402, d4.loss_iou: 0.9419, loss: 12.8853, grad_norm: 15.6275 2022-10-27 00:46:12,516 - mmdet - INFO - Epoch [36][1350/1849] lr: 2.000e-04, eta: 2:31:54, time: 0.358, data_time: 0.009, memory: 4055, loss_contrastive: 3.1329, loss_bbox: 0.6352, loss_iou: 0.9362, d0.loss_bbox: 0.6921, d0.loss_iou: 1.0104, d1.loss_bbox: 0.6681, d1.loss_iou: 0.9782, d2.loss_bbox: 0.6529, d2.loss_iou: 0.9580, d3.loss_bbox: 0.6425, d3.loss_iou: 0.9442, d4.loss_bbox: 0.6363, d4.loss_iou: 0.9372, loss: 12.8241, grad_norm: 14.9569 2022-10-27 00:46:30,158 - mmdet - INFO - Epoch [36][1400/1849] lr: 2.000e-04, eta: 2:31:37, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1414, loss_bbox: 0.6360, loss_iou: 0.9397, d0.loss_bbox: 0.6936, d0.loss_iou: 1.0173, d1.loss_bbox: 0.6689, d1.loss_iou: 0.9824, d2.loss_bbox: 0.6535, d2.loss_iou: 0.9613, d3.loss_bbox: 0.6421, d3.loss_iou: 0.9482, d4.loss_bbox: 0.6366, d4.loss_iou: 0.9411, loss: 12.8621, grad_norm: 12.7115 2022-10-27 00:46:47,607 - mmdet - INFO - Epoch [36][1450/1849] lr: 2.000e-04, eta: 2:31:20, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1370, loss_bbox: 0.6403, loss_iou: 0.9441, d0.loss_bbox: 0.6968, d0.loss_iou: 1.0179, d1.loss_bbox: 0.6718, d1.loss_iou: 0.9864, d2.loss_bbox: 0.6574, d2.loss_iou: 0.9654, d3.loss_bbox: 0.6466, d3.loss_iou: 0.9517, d4.loss_bbox: 0.6410, d4.loss_iou: 0.9451, loss: 12.9016, grad_norm: 13.8174 2022-10-27 00:47:05,216 - mmdet - INFO - Epoch [36][1500/1849] lr: 2.000e-04, eta: 2:31:03, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1486, loss_bbox: 0.6392, loss_iou: 0.9416, d0.loss_bbox: 0.6936, d0.loss_iou: 1.0142, d1.loss_bbox: 0.6711, d1.loss_iou: 0.9820, d2.loss_bbox: 0.6560, d2.loss_iou: 0.9619, d3.loss_bbox: 0.6452, d3.loss_iou: 0.9495, d4.loss_bbox: 0.6400, d4.loss_iou: 0.9425, loss: 12.8855, grad_norm: 12.4718 2022-10-27 00:47:22,755 - mmdet - INFO - Epoch [36][1550/1849] lr: 2.000e-04, eta: 2:30:46, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1374, loss_bbox: 0.6388, loss_iou: 0.9409, d0.loss_bbox: 0.6960, d0.loss_iou: 1.0151, d1.loss_bbox: 0.6721, d1.loss_iou: 0.9814, d2.loss_bbox: 0.6559, d2.loss_iou: 0.9618, d3.loss_bbox: 0.6452, d3.loss_iou: 0.9489, d4.loss_bbox: 0.6395, d4.loss_iou: 0.9419, loss: 12.8751, grad_norm: 13.9048 2022-10-27 00:47:40,040 - mmdet - INFO - Epoch [36][1600/1849] lr: 2.000e-04, eta: 2:30:28, time: 0.346, data_time: 0.008, memory: 4055, loss_contrastive: 3.1349, loss_bbox: 0.6376, loss_iou: 0.9405, d0.loss_bbox: 0.6940, d0.loss_iou: 1.0156, d1.loss_bbox: 0.6702, d1.loss_iou: 0.9822, d2.loss_bbox: 0.6551, d2.loss_iou: 0.9615, d3.loss_bbox: 0.6439, d3.loss_iou: 0.9482, d4.loss_bbox: 0.6381, d4.loss_iou: 0.9415, loss: 12.8633, grad_norm: 15.2022 2022-10-27 00:47:57,412 - mmdet - INFO - Epoch [36][1650/1849] lr: 2.000e-04, eta: 2:30:11, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1386, loss_bbox: 0.6389, loss_iou: 0.9422, d0.loss_bbox: 0.6966, d0.loss_iou: 1.0179, d1.loss_bbox: 0.6713, d1.loss_iou: 0.9834, d2.loss_bbox: 0.6563, d2.loss_iou: 0.9628, d3.loss_bbox: 0.6455, d3.loss_iou: 0.9499, d4.loss_bbox: 0.6400, d4.loss_iou: 0.9432, loss: 12.8864, grad_norm: 12.9423 2022-10-27 00:48:14,897 - mmdet - INFO - Epoch [36][1700/1849] lr: 2.000e-04, eta: 2:29:54, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1287, loss_bbox: 0.6379, loss_iou: 0.9436, d0.loss_bbox: 0.6960, d0.loss_iou: 1.0193, d1.loss_bbox: 0.6704, d1.loss_iou: 0.9857, d2.loss_bbox: 0.6548, d2.loss_iou: 0.9654, d3.loss_bbox: 0.6443, d3.loss_iou: 0.9512, d4.loss_bbox: 0.6386, d4.loss_iou: 0.9443, loss: 12.8801, grad_norm: 15.2833 2022-10-27 00:48:32,969 - mmdet - INFO - Epoch [36][1750/1849] lr: 2.000e-04, eta: 2:29:37, time: 0.362, data_time: 0.009, memory: 4055, loss_contrastive: 3.1313, loss_bbox: 0.6374, loss_iou: 0.9419, d0.loss_bbox: 0.6945, d0.loss_iou: 1.0155, d1.loss_bbox: 0.6694, d1.loss_iou: 0.9830, d2.loss_bbox: 0.6543, d2.loss_iou: 0.9616, d3.loss_bbox: 0.6435, d3.loss_iou: 0.9494, d4.loss_bbox: 0.6382, d4.loss_iou: 0.9432, loss: 12.8632, grad_norm: 15.3217 2022-10-27 00:48:50,343 - mmdet - INFO - Epoch [36][1800/1849] lr: 2.000e-04, eta: 2:29:20, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1365, loss_bbox: 0.6380, loss_iou: 0.9412, d0.loss_bbox: 0.6969, d0.loss_iou: 1.0178, d1.loss_bbox: 0.6720, d1.loss_iou: 0.9831, d2.loss_bbox: 0.6554, d2.loss_iou: 0.9618, d3.loss_bbox: 0.6447, d3.loss_iou: 0.9494, d4.loss_bbox: 0.6386, d4.loss_iou: 0.9423, loss: 12.8777, grad_norm: 12.5204 2022-10-27 00:49:07,717 - mmdet - INFO - Saving checkpoint at 36 epochs 2022-10-27 00:49:29,611 - mmdet - INFO - Epoch [37][50/1849] lr: 2.000e-04, eta: 2:28:40, time: 0.414, data_time: 0.071, memory: 4055, loss_contrastive: 3.1387, loss_bbox: 0.6375, loss_iou: 0.9399, d0.loss_bbox: 0.6969, d0.loss_iou: 1.0166, d1.loss_bbox: 0.6726, d1.loss_iou: 0.9830, d2.loss_bbox: 0.6563, d2.loss_iou: 0.9622, d3.loss_bbox: 0.6448, d3.loss_iou: 0.9483, d4.loss_bbox: 0.6381, d4.loss_iou: 0.9407, loss: 12.8756, grad_norm: 13.3631 2022-10-27 00:49:46,895 - mmdet - INFO - Epoch [37][100/1849] lr: 2.000e-04, eta: 2:28:23, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1365, loss_bbox: 0.6407, loss_iou: 0.9418, d0.loss_bbox: 0.6983, d0.loss_iou: 1.0155, d1.loss_bbox: 0.6732, d1.loss_iou: 0.9827, d2.loss_bbox: 0.6587, d2.loss_iou: 0.9630, d3.loss_bbox: 0.6476, d3.loss_iou: 0.9501, d4.loss_bbox: 0.6413, d4.loss_iou: 0.9431, loss: 12.8924, grad_norm: 14.2036 2022-10-27 00:50:04,285 - mmdet - INFO - Epoch [37][150/1849] lr: 2.000e-04, eta: 2:28:06, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1315, loss_bbox: 0.6389, loss_iou: 0.9405, d0.loss_bbox: 0.6947, d0.loss_iou: 1.0141, d1.loss_bbox: 0.6712, d1.loss_iou: 0.9817, d2.loss_bbox: 0.6563, d2.loss_iou: 0.9614, d3.loss_bbox: 0.6456, d3.loss_iou: 0.9482, d4.loss_bbox: 0.6398, d4.loss_iou: 0.9417, loss: 12.8657, grad_norm: 14.9103 2022-10-27 00:50:21,690 - mmdet - INFO - Epoch [37][200/1849] lr: 2.000e-04, eta: 2:27:49, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1369, loss_bbox: 0.6360, loss_iou: 0.9359, d0.loss_bbox: 0.6927, d0.loss_iou: 1.0097, d1.loss_bbox: 0.6682, d1.loss_iou: 0.9777, d2.loss_bbox: 0.6534, d2.loss_iou: 0.9562, d3.loss_bbox: 0.6427, d3.loss_iou: 0.9439, d4.loss_bbox: 0.6370, d4.loss_iou: 0.9367, loss: 12.8270, grad_norm: 12.5221 2022-10-27 00:50:39,176 - mmdet - INFO - Epoch [37][250/1849] lr: 2.000e-04, eta: 2:27:32, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1332, loss_bbox: 0.6353, loss_iou: 0.9373, d0.loss_bbox: 0.6909, d0.loss_iou: 1.0111, d1.loss_bbox: 0.6669, d1.loss_iou: 0.9774, d2.loss_bbox: 0.6521, d2.loss_iou: 0.9568, d3.loss_bbox: 0.6416, d3.loss_iou: 0.9448, d4.loss_bbox: 0.6358, d4.loss_iou: 0.9382, loss: 12.8213, grad_norm: 12.5687 2022-10-27 00:50:56,528 - mmdet - INFO - Epoch [37][300/1849] lr: 2.000e-04, eta: 2:27:14, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1355, loss_bbox: 0.6360, loss_iou: 0.9391, d0.loss_bbox: 0.6928, d0.loss_iou: 1.0111, d1.loss_bbox: 0.6693, d1.loss_iou: 0.9789, d2.loss_bbox: 0.6536, d2.loss_iou: 0.9603, d3.loss_bbox: 0.6426, d3.loss_iou: 0.9472, d4.loss_bbox: 0.6368, d4.loss_iou: 0.9402, loss: 12.8434, grad_norm: 13.3229 2022-10-27 00:51:14,010 - mmdet - INFO - Epoch [37][350/1849] lr: 2.000e-04, eta: 2:26:57, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1363, loss_bbox: 0.6394, loss_iou: 0.9419, d0.loss_bbox: 0.6957, d0.loss_iou: 1.0149, d1.loss_bbox: 0.6711, d1.loss_iou: 0.9826, d2.loss_bbox: 0.6565, d2.loss_iou: 0.9622, d3.loss_bbox: 0.6456, d3.loss_iou: 0.9494, d4.loss_bbox: 0.6401, d4.loss_iou: 0.9424, loss: 12.8781, grad_norm: 14.2184 2022-10-27 00:51:31,505 - mmdet - INFO - Epoch [37][400/1849] lr: 2.000e-04, eta: 2:26:40, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1352, loss_bbox: 0.6357, loss_iou: 0.9376, d0.loss_bbox: 0.6917, d0.loss_iou: 1.0101, d1.loss_bbox: 0.6684, d1.loss_iou: 0.9789, d2.loss_bbox: 0.6526, d2.loss_iou: 0.9579, d3.loss_bbox: 0.6419, d3.loss_iou: 0.9453, d4.loss_bbox: 0.6360, d4.loss_iou: 0.9387, loss: 12.8300, grad_norm: 14.6302 2022-10-27 00:51:48,820 - mmdet - INFO - Epoch [37][450/1849] lr: 2.000e-04, eta: 2:26:23, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1377, loss_bbox: 0.6343, loss_iou: 0.9371, d0.loss_bbox: 0.6904, d0.loss_iou: 1.0099, d1.loss_bbox: 0.6663, d1.loss_iou: 0.9782, d2.loss_bbox: 0.6511, d2.loss_iou: 0.9574, d3.loss_bbox: 0.6407, d3.loss_iou: 0.9450, d4.loss_bbox: 0.6351, d4.loss_iou: 0.9382, loss: 12.8213, grad_norm: 14.8567 2022-10-27 00:52:05,979 - mmdet - INFO - Epoch [37][500/1849] lr: 2.000e-04, eta: 2:26:05, time: 0.343, data_time: 0.009, memory: 4055, loss_contrastive: 3.1294, loss_bbox: 0.6339, loss_iou: 0.9391, d0.loss_bbox: 0.6916, d0.loss_iou: 1.0127, d1.loss_bbox: 0.6673, d1.loss_iou: 0.9799, d2.loss_bbox: 0.6519, d2.loss_iou: 0.9593, d3.loss_bbox: 0.6405, d3.loss_iou: 0.9465, d4.loss_bbox: 0.6344, d4.loss_iou: 0.9400, loss: 12.8264, grad_norm: 15.1527 2022-10-27 00:52:23,303 - mmdet - INFO - Epoch [37][550/1849] lr: 2.000e-04, eta: 2:25:48, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1336, loss_bbox: 0.6367, loss_iou: 0.9426, d0.loss_bbox: 0.6936, d0.loss_iou: 1.0157, d1.loss_bbox: 0.6695, d1.loss_iou: 0.9827, d2.loss_bbox: 0.6539, d2.loss_iou: 0.9638, d3.loss_bbox: 0.6434, d3.loss_iou: 0.9504, d4.loss_bbox: 0.6375, d4.loss_iou: 0.9436, loss: 12.8671, grad_norm: 15.1789 2022-10-27 00:52:40,582 - mmdet - INFO - Epoch [37][600/1849] lr: 2.000e-04, eta: 2:25:31, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1320, loss_bbox: 0.6382, loss_iou: 0.9396, d0.loss_bbox: 0.6945, d0.loss_iou: 1.0152, d1.loss_bbox: 0.6705, d1.loss_iou: 0.9813, d2.loss_bbox: 0.6549, d2.loss_iou: 0.9601, d3.loss_bbox: 0.6442, d3.loss_iou: 0.9476, d4.loss_bbox: 0.6386, d4.loss_iou: 0.9407, loss: 12.8575, grad_norm: 13.3241 2022-10-27 00:52:57,846 - mmdet - INFO - Epoch [37][650/1849] lr: 2.000e-04, eta: 2:25:14, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1369, loss_bbox: 0.6381, loss_iou: 0.9435, d0.loss_bbox: 0.6948, d0.loss_iou: 1.0173, d1.loss_bbox: 0.6710, d1.loss_iou: 0.9855, d2.loss_bbox: 0.6560, d2.loss_iou: 0.9650, d3.loss_bbox: 0.6452, d3.loss_iou: 0.9519, d4.loss_bbox: 0.6388, d4.loss_iou: 0.9448, loss: 12.8887, grad_norm: 14.1406 2022-10-27 00:53:15,159 - mmdet - INFO - Epoch [37][700/1849] lr: 2.000e-04, eta: 2:24:56, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1365, loss_bbox: 0.6367, loss_iou: 0.9394, d0.loss_bbox: 0.6939, d0.loss_iou: 1.0127, d1.loss_bbox: 0.6685, d1.loss_iou: 0.9795, d2.loss_bbox: 0.6538, d2.loss_iou: 0.9597, d3.loss_bbox: 0.6433, d3.loss_iou: 0.9472, d4.loss_bbox: 0.6372, d4.loss_iou: 0.9408, loss: 12.8491, grad_norm: 13.7317 2022-10-27 00:53:32,361 - mmdet - INFO - Epoch [37][750/1849] lr: 2.000e-04, eta: 2:24:39, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1395, loss_bbox: 0.6348, loss_iou: 0.9402, d0.loss_bbox: 0.6922, d0.loss_iou: 1.0140, d1.loss_bbox: 0.6677, d1.loss_iou: 0.9810, d2.loss_bbox: 0.6517, d2.loss_iou: 0.9610, d3.loss_bbox: 0.6412, d3.loss_iou: 0.9477, d4.loss_bbox: 0.6354, d4.loss_iou: 0.9410, loss: 12.8473, grad_norm: 13.7605 2022-10-27 00:53:49,724 - mmdet - INFO - Epoch [37][800/1849] lr: 2.000e-04, eta: 2:24:22, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1401, loss_bbox: 0.6356, loss_iou: 0.9372, d0.loss_bbox: 0.6941, d0.loss_iou: 1.0130, d1.loss_bbox: 0.6688, d1.loss_iou: 0.9795, d2.loss_bbox: 0.6532, d2.loss_iou: 0.9587, d3.loss_bbox: 0.6428, d3.loss_iou: 0.9451, d4.loss_bbox: 0.6363, d4.loss_iou: 0.9382, loss: 12.8425, grad_norm: 13.3903 2022-10-27 00:54:06,956 - mmdet - INFO - Epoch [37][850/1849] lr: 2.000e-04, eta: 2:24:05, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1291, loss_bbox: 0.6363, loss_iou: 0.9393, d0.loss_bbox: 0.6953, d0.loss_iou: 1.0157, d1.loss_bbox: 0.6687, d1.loss_iou: 0.9815, d2.loss_bbox: 0.6536, d2.loss_iou: 0.9610, d3.loss_bbox: 0.6428, d3.loss_iou: 0.9472, d4.loss_bbox: 0.6370, d4.loss_iou: 0.9403, loss: 12.8479, grad_norm: 14.6401 2022-10-27 00:54:24,266 - mmdet - INFO - Epoch [37][900/1849] lr: 2.000e-04, eta: 2:23:47, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1286, loss_bbox: 0.6336, loss_iou: 0.9361, d0.loss_bbox: 0.6894, d0.loss_iou: 1.0104, d1.loss_bbox: 0.6653, d1.loss_iou: 0.9772, d2.loss_bbox: 0.6512, d2.loss_iou: 0.9567, d3.loss_bbox: 0.6403, d3.loss_iou: 0.9436, d4.loss_bbox: 0.6343, d4.loss_iou: 0.9368, loss: 12.8035, grad_norm: 14.5578 2022-10-27 00:54:41,520 - mmdet - INFO - Epoch [37][950/1849] lr: 2.000e-04, eta: 2:23:30, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1342, loss_bbox: 0.6335, loss_iou: 0.9393, d0.loss_bbox: 0.6920, d0.loss_iou: 1.0147, d1.loss_bbox: 0.6658, d1.loss_iou: 0.9805, d2.loss_bbox: 0.6507, d2.loss_iou: 0.9602, d3.loss_bbox: 0.6403, d3.loss_iou: 0.9472, d4.loss_bbox: 0.6345, d4.loss_iou: 0.9403, loss: 12.8331, grad_norm: 13.7944 2022-10-27 00:54:58,765 - mmdet - INFO - Epoch [37][1000/1849] lr: 2.000e-04, eta: 2:23:13, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1391, loss_bbox: 0.6381, loss_iou: 0.9403, d0.loss_bbox: 0.6952, d0.loss_iou: 1.0162, d1.loss_bbox: 0.6718, d1.loss_iou: 0.9819, d2.loss_bbox: 0.6560, d2.loss_iou: 0.9615, d3.loss_bbox: 0.6444, d3.loss_iou: 0.9478, d4.loss_bbox: 0.6388, d4.loss_iou: 0.9413, loss: 12.8725, grad_norm: 12.9147 2022-10-27 00:55:16,182 - mmdet - INFO - Epoch [37][1050/1849] lr: 2.000e-04, eta: 2:22:56, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1326, loss_bbox: 0.6411, loss_iou: 0.9405, d0.loss_bbox: 0.6970, d0.loss_iou: 1.0143, d1.loss_bbox: 0.6720, d1.loss_iou: 0.9815, d2.loss_bbox: 0.6574, d2.loss_iou: 0.9607, d3.loss_bbox: 0.6470, d3.loss_iou: 0.9484, d4.loss_bbox: 0.6420, d4.loss_iou: 0.9412, loss: 12.8755, grad_norm: 12.7208 2022-10-27 00:55:33,543 - mmdet - INFO - Epoch [37][1100/1849] lr: 2.000e-04, eta: 2:22:38, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1334, loss_bbox: 0.6380, loss_iou: 0.9392, d0.loss_bbox: 0.6942, d0.loss_iou: 1.0127, d1.loss_bbox: 0.6696, d1.loss_iou: 0.9807, d2.loss_bbox: 0.6548, d2.loss_iou: 0.9600, d3.loss_bbox: 0.6446, d3.loss_iou: 0.9467, d4.loss_bbox: 0.6387, d4.loss_iou: 0.9400, loss: 12.8525, grad_norm: 14.2529 2022-10-27 00:55:50,845 - mmdet - INFO - Epoch [37][1150/1849] lr: 2.000e-04, eta: 2:22:21, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1287, loss_bbox: 0.6390, loss_iou: 0.9406, d0.loss_bbox: 0.6949, d0.loss_iou: 1.0160, d1.loss_bbox: 0.6703, d1.loss_iou: 0.9828, d2.loss_bbox: 0.6557, d2.loss_iou: 0.9617, d3.loss_bbox: 0.6450, d3.loss_iou: 0.9489, d4.loss_bbox: 0.6396, d4.loss_iou: 0.9416, loss: 12.8651, grad_norm: 12.2733 2022-10-27 00:56:08,213 - mmdet - INFO - Epoch [37][1200/1849] lr: 2.000e-04, eta: 2:22:04, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1332, loss_bbox: 0.6405, loss_iou: 0.9393, d0.loss_bbox: 0.6977, d0.loss_iou: 1.0131, d1.loss_bbox: 0.6743, d1.loss_iou: 0.9807, d2.loss_bbox: 0.6578, d2.loss_iou: 0.9594, d3.loss_bbox: 0.6471, d3.loss_iou: 0.9464, d4.loss_bbox: 0.6412, d4.loss_iou: 0.9402, loss: 12.8709, grad_norm: 14.3654 2022-10-27 00:56:25,625 - mmdet - INFO - Epoch [37][1250/1849] lr: 2.000e-04, eta: 2:21:47, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1353, loss_bbox: 0.6371, loss_iou: 0.9365, d0.loss_bbox: 0.6942, d0.loss_iou: 1.0124, d1.loss_bbox: 0.6683, d1.loss_iou: 0.9779, d2.loss_bbox: 0.6532, d2.loss_iou: 0.9564, d3.loss_bbox: 0.6435, d3.loss_iou: 0.9438, d4.loss_bbox: 0.6379, d4.loss_iou: 0.9372, loss: 12.8339, grad_norm: 15.2750 2022-10-27 00:56:43,174 - mmdet - INFO - Epoch [37][1300/1849] lr: 2.000e-04, eta: 2:21:30, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1318, loss_bbox: 0.6374, loss_iou: 0.9351, d0.loss_bbox: 0.6942, d0.loss_iou: 1.0092, d1.loss_bbox: 0.6696, d1.loss_iou: 0.9768, d2.loss_bbox: 0.6548, d2.loss_iou: 0.9562, d3.loss_bbox: 0.6445, d3.loss_iou: 0.9435, d4.loss_bbox: 0.6383, d4.loss_iou: 0.9362, loss: 12.8277, grad_norm: 12.6696 2022-10-27 00:57:00,612 - mmdet - INFO - Epoch [37][1350/1849] lr: 2.000e-04, eta: 2:21:12, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1402, loss_bbox: 0.6370, loss_iou: 0.9379, d0.loss_bbox: 0.6942, d0.loss_iou: 1.0113, d1.loss_bbox: 0.6694, d1.loss_iou: 0.9786, d2.loss_bbox: 0.6538, d2.loss_iou: 0.9580, d3.loss_bbox: 0.6438, d3.loss_iou: 0.9457, d4.loss_bbox: 0.6378, d4.loss_iou: 0.9387, loss: 12.8462, grad_norm: 13.1363 2022-10-27 00:57:18,128 - mmdet - INFO - Epoch [37][1400/1849] lr: 2.000e-04, eta: 2:20:55, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1319, loss_bbox: 0.6333, loss_iou: 0.9367, d0.loss_bbox: 0.6912, d0.loss_iou: 1.0122, d1.loss_bbox: 0.6658, d1.loss_iou: 0.9784, d2.loss_bbox: 0.6508, d2.loss_iou: 0.9577, d3.loss_bbox: 0.6399, d3.loss_iou: 0.9450, d4.loss_bbox: 0.6341, d4.loss_iou: 0.9378, loss: 12.8148, grad_norm: 11.7577 2022-10-27 00:57:35,495 - mmdet - INFO - Epoch [37][1450/1849] lr: 2.000e-04, eta: 2:20:38, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1368, loss_bbox: 0.6385, loss_iou: 0.9406, d0.loss_bbox: 0.6944, d0.loss_iou: 1.0133, d1.loss_bbox: 0.6707, d1.loss_iou: 0.9817, d2.loss_bbox: 0.6548, d2.loss_iou: 0.9613, d3.loss_bbox: 0.6442, d3.loss_iou: 0.9489, d4.loss_bbox: 0.6391, d4.loss_iou: 0.9417, loss: 12.8659, grad_norm: 13.1542 2022-10-27 00:57:52,859 - mmdet - INFO - Epoch [37][1500/1849] lr: 2.000e-04, eta: 2:20:21, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1395, loss_bbox: 0.6357, loss_iou: 0.9375, d0.loss_bbox: 0.6940, d0.loss_iou: 1.0113, d1.loss_bbox: 0.6684, d1.loss_iou: 0.9770, d2.loss_bbox: 0.6524, d2.loss_iou: 0.9573, d3.loss_bbox: 0.6423, d3.loss_iou: 0.9448, d4.loss_bbox: 0.6363, d4.loss_iou: 0.9384, loss: 12.8349, grad_norm: 13.4960 2022-10-27 00:58:10,142 - mmdet - INFO - Epoch [37][1550/1849] lr: 2.000e-04, eta: 2:20:03, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1331, loss_bbox: 0.6338, loss_iou: 0.9375, d0.loss_bbox: 0.6916, d0.loss_iou: 1.0119, d1.loss_bbox: 0.6673, d1.loss_iou: 0.9787, d2.loss_bbox: 0.6513, d2.loss_iou: 0.9586, d3.loss_bbox: 0.6404, d3.loss_iou: 0.9452, d4.loss_bbox: 0.6347, d4.loss_iou: 0.9383, loss: 12.8224, grad_norm: 13.5637 2022-10-27 00:58:27,771 - mmdet - INFO - Epoch [37][1600/1849] lr: 2.000e-04, eta: 2:19:46, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1359, loss_bbox: 0.6365, loss_iou: 0.9397, d0.loss_bbox: 0.6943, d0.loss_iou: 1.0150, d1.loss_bbox: 0.6689, d1.loss_iou: 0.9805, d2.loss_bbox: 0.6534, d2.loss_iou: 0.9599, d3.loss_bbox: 0.6425, d3.loss_iou: 0.9472, d4.loss_bbox: 0.6373, d4.loss_iou: 0.9406, loss: 12.8516, grad_norm: 16.4234 2022-10-27 00:58:44,879 - mmdet - INFO - Epoch [37][1650/1849] lr: 2.000e-04, eta: 2:19:29, time: 0.342, data_time: 0.009, memory: 4055, loss_contrastive: 3.1359, loss_bbox: 0.6359, loss_iou: 0.9406, d0.loss_bbox: 0.6938, d0.loss_iou: 1.0161, d1.loss_bbox: 0.6680, d1.loss_iou: 0.9824, d2.loss_bbox: 0.6542, d2.loss_iou: 0.9607, d3.loss_bbox: 0.6428, d3.loss_iou: 0.9478, d4.loss_bbox: 0.6364, d4.loss_iou: 0.9419, loss: 12.8566, grad_norm: 17.3949 2022-10-27 00:59:02,030 - mmdet - INFO - Epoch [37][1700/1849] lr: 2.000e-04, eta: 2:19:12, time: 0.343, data_time: 0.009, memory: 4055, loss_contrastive: 3.1333, loss_bbox: 0.6421, loss_iou: 0.9422, d0.loss_bbox: 0.7000, d0.loss_iou: 1.0175, d1.loss_bbox: 0.6755, d1.loss_iou: 0.9842, d2.loss_bbox: 0.6598, d2.loss_iou: 0.9633, d3.loss_bbox: 0.6483, d3.loss_iou: 0.9500, d4.loss_bbox: 0.6427, d4.loss_iou: 0.9431, loss: 12.9020, grad_norm: 12.4776 2022-10-27 00:59:19,430 - mmdet - INFO - Epoch [37][1750/1849] lr: 2.000e-04, eta: 2:18:54, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1341, loss_bbox: 0.6363, loss_iou: 0.9396, d0.loss_bbox: 0.6924, d0.loss_iou: 1.0140, d1.loss_bbox: 0.6676, d1.loss_iou: 0.9804, d2.loss_bbox: 0.6523, d2.loss_iou: 0.9608, d3.loss_bbox: 0.6424, d3.loss_iou: 0.9475, d4.loss_bbox: 0.6369, d4.loss_iou: 0.9405, loss: 12.8446, grad_norm: 13.4525 2022-10-27 00:59:36,680 - mmdet - INFO - Epoch [37][1800/1849] lr: 2.000e-04, eta: 2:18:37, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1349, loss_bbox: 0.6383, loss_iou: 0.9377, d0.loss_bbox: 0.6943, d0.loss_iou: 1.0127, d1.loss_bbox: 0.6703, d1.loss_iou: 0.9790, d2.loss_bbox: 0.6558, d2.loss_iou: 0.9586, d3.loss_bbox: 0.6449, d3.loss_iou: 0.9457, d4.loss_bbox: 0.6389, d4.loss_iou: 0.9387, loss: 12.8499, grad_norm: 13.8930 2022-10-27 00:59:53,795 - mmdet - INFO - Saving checkpoint at 37 epochs 2022-10-27 01:00:15,665 - mmdet - INFO - Epoch [38][50/1849] lr: 2.000e-04, eta: 2:17:58, time: 0.414, data_time: 0.070, memory: 4055, loss_contrastive: 3.1419, loss_bbox: 0.6350, loss_iou: 0.9370, d0.loss_bbox: 0.6934, d0.loss_iou: 1.0135, d1.loss_bbox: 0.6679, d1.loss_iou: 0.9788, d2.loss_bbox: 0.6517, d2.loss_iou: 0.9580, d3.loss_bbox: 0.6412, d3.loss_iou: 0.9448, d4.loss_bbox: 0.6360, d4.loss_iou: 0.9379, loss: 12.8370, grad_norm: 13.9988 2022-10-27 01:00:33,233 - mmdet - INFO - Epoch [38][100/1849] lr: 2.000e-04, eta: 2:17:41, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1362, loss_bbox: 0.6376, loss_iou: 0.9383, d0.loss_bbox: 0.6953, d0.loss_iou: 1.0126, d1.loss_bbox: 0.6697, d1.loss_iou: 0.9793, d2.loss_bbox: 0.6542, d2.loss_iou: 0.9598, d3.loss_bbox: 0.6443, d3.loss_iou: 0.9467, d4.loss_bbox: 0.6382, d4.loss_iou: 0.9389, loss: 12.8510, grad_norm: 13.3416 2022-10-27 01:00:50,628 - mmdet - INFO - Epoch [38][150/1849] lr: 2.000e-04, eta: 2:17:24, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1429, loss_bbox: 0.6369, loss_iou: 0.9389, d0.loss_bbox: 0.6943, d0.loss_iou: 1.0135, d1.loss_bbox: 0.6692, d1.loss_iou: 0.9805, d2.loss_bbox: 0.6543, d2.loss_iou: 0.9599, d3.loss_bbox: 0.6432, d3.loss_iou: 0.9468, d4.loss_bbox: 0.6375, d4.loss_iou: 0.9400, loss: 12.8579, grad_norm: 13.9639 2022-10-27 01:01:08,163 - mmdet - INFO - Epoch [38][200/1849] lr: 2.000e-04, eta: 2:17:07, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1314, loss_bbox: 0.6376, loss_iou: 0.9384, d0.loss_bbox: 0.6939, d0.loss_iou: 1.0123, d1.loss_bbox: 0.6678, d1.loss_iou: 0.9792, d2.loss_bbox: 0.6536, d2.loss_iou: 0.9589, d3.loss_bbox: 0.6437, d3.loss_iou: 0.9463, d4.loss_bbox: 0.6384, d4.loss_iou: 0.9394, loss: 12.8408, grad_norm: 12.3505 2022-10-27 01:01:25,327 - mmdet - INFO - Epoch [38][250/1849] lr: 2.000e-04, eta: 2:16:49, time: 0.343, data_time: 0.009, memory: 4055, loss_contrastive: 3.1380, loss_bbox: 0.6383, loss_iou: 0.9410, d0.loss_bbox: 0.6957, d0.loss_iou: 1.0178, d1.loss_bbox: 0.6701, d1.loss_iou: 0.9828, d2.loss_bbox: 0.6555, d2.loss_iou: 0.9625, d3.loss_bbox: 0.6444, d3.loss_iou: 0.9492, d4.loss_bbox: 0.6390, d4.loss_iou: 0.9418, loss: 12.8760, grad_norm: 13.6612 2022-10-27 01:01:42,744 - mmdet - INFO - Epoch [38][300/1849] lr: 2.000e-04, eta: 2:16:32, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1363, loss_bbox: 0.6358, loss_iou: 0.9357, d0.loss_bbox: 0.6955, d0.loss_iou: 1.0115, d1.loss_bbox: 0.6695, d1.loss_iou: 0.9780, d2.loss_bbox: 0.6536, d2.loss_iou: 0.9571, d3.loss_bbox: 0.6427, d3.loss_iou: 0.9436, d4.loss_bbox: 0.6368, d4.loss_iou: 0.9367, loss: 12.8328, grad_norm: 13.0827 2022-10-27 01:01:59,969 - mmdet - INFO - Epoch [38][350/1849] lr: 2.000e-04, eta: 2:16:15, time: 0.345, data_time: 0.008, memory: 4055, loss_contrastive: 3.1368, loss_bbox: 0.6361, loss_iou: 0.9396, d0.loss_bbox: 0.6921, d0.loss_iou: 1.0134, d1.loss_bbox: 0.6674, d1.loss_iou: 0.9810, d2.loss_bbox: 0.6526, d2.loss_iou: 0.9601, d3.loss_bbox: 0.6424, d3.loss_iou: 0.9476, d4.loss_bbox: 0.6368, d4.loss_iou: 0.9406, loss: 12.8465, grad_norm: 14.3069 2022-10-27 01:02:17,424 - mmdet - INFO - Epoch [38][400/1849] lr: 2.000e-04, eta: 2:15:58, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1371, loss_bbox: 0.6364, loss_iou: 0.9406, d0.loss_bbox: 0.6942, d0.loss_iou: 1.0150, d1.loss_bbox: 0.6692, d1.loss_iou: 0.9817, d2.loss_bbox: 0.6546, d2.loss_iou: 0.9613, d3.loss_bbox: 0.6433, d3.loss_iou: 0.9487, d4.loss_bbox: 0.6369, d4.loss_iou: 0.9419, loss: 12.8609, grad_norm: 14.8777 2022-10-27 01:02:34,906 - mmdet - INFO - Epoch [38][450/1849] lr: 2.000e-04, eta: 2:15:41, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1314, loss_bbox: 0.6335, loss_iou: 0.9351, d0.loss_bbox: 0.6899, d0.loss_iou: 1.0104, d1.loss_bbox: 0.6663, d1.loss_iou: 0.9775, d2.loss_bbox: 0.6515, d2.loss_iou: 0.9561, d3.loss_bbox: 0.6405, d3.loss_iou: 0.9435, d4.loss_bbox: 0.6344, d4.loss_iou: 0.9365, loss: 12.8064, grad_norm: 13.8843 2022-10-27 01:02:52,485 - mmdet - INFO - Epoch [38][500/1849] lr: 2.000e-04, eta: 2:15:23, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1346, loss_bbox: 0.6367, loss_iou: 0.9384, d0.loss_bbox: 0.6936, d0.loss_iou: 1.0140, d1.loss_bbox: 0.6683, d1.loss_iou: 0.9800, d2.loss_bbox: 0.6538, d2.loss_iou: 0.9589, d3.loss_bbox: 0.6430, d3.loss_iou: 0.9460, d4.loss_bbox: 0.6373, d4.loss_iou: 0.9394, loss: 12.8442, grad_norm: 13.9034 2022-10-27 01:03:12,578 - mmdet - INFO - Epoch [38][550/1849] lr: 2.000e-04, eta: 2:15:07, time: 0.402, data_time: 0.009, memory: 4055, loss_contrastive: 3.1397, loss_bbox: 0.6337, loss_iou: 0.9384, d0.loss_bbox: 0.6904, d0.loss_iou: 1.0135, d1.loss_bbox: 0.6654, d1.loss_iou: 0.9792, d2.loss_bbox: 0.6499, d2.loss_iou: 0.9593, d3.loss_bbox: 0.6400, d3.loss_iou: 0.9462, d4.loss_bbox: 0.6341, d4.loss_iou: 0.9396, loss: 12.8296, grad_norm: 13.8138 2022-10-27 01:03:30,226 - mmdet - INFO - Epoch [38][600/1849] lr: 2.000e-04, eta: 2:14:50, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1348, loss_bbox: 0.6348, loss_iou: 0.9363, d0.loss_bbox: 0.6924, d0.loss_iou: 1.0114, d1.loss_bbox: 0.6670, d1.loss_iou: 0.9781, d2.loss_bbox: 0.6519, d2.loss_iou: 0.9575, d3.loss_bbox: 0.6415, d3.loss_iou: 0.9444, d4.loss_bbox: 0.6356, d4.loss_iou: 0.9373, loss: 12.8229, grad_norm: 16.2636 2022-10-27 01:03:47,691 - mmdet - INFO - Epoch [38][650/1849] lr: 2.000e-04, eta: 2:14:33, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1366, loss_bbox: 0.6357, loss_iou: 0.9370, d0.loss_bbox: 0.6935, d0.loss_iou: 1.0130, d1.loss_bbox: 0.6684, d1.loss_iou: 0.9793, d2.loss_bbox: 0.6531, d2.loss_iou: 0.9582, d3.loss_bbox: 0.6418, d3.loss_iou: 0.9453, d4.loss_bbox: 0.6364, d4.loss_iou: 0.9383, loss: 12.8365, grad_norm: 13.9485 2022-10-27 01:04:05,102 - mmdet - INFO - Epoch [38][700/1849] lr: 2.000e-04, eta: 2:14:16, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1300, loss_bbox: 0.6336, loss_iou: 0.9388, d0.loss_bbox: 0.6904, d0.loss_iou: 1.0134, d1.loss_bbox: 0.6661, d1.loss_iou: 0.9813, d2.loss_bbox: 0.6505, d2.loss_iou: 0.9594, d3.loss_bbox: 0.6398, d3.loss_iou: 0.9466, d4.loss_bbox: 0.6345, d4.loss_iou: 0.9398, loss: 12.8241, grad_norm: 14.5866 2022-10-27 01:04:22,532 - mmdet - INFO - Epoch [38][750/1849] lr: 2.000e-04, eta: 2:13:58, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1372, loss_bbox: 0.6369, loss_iou: 0.9382, d0.loss_bbox: 0.6940, d0.loss_iou: 1.0124, d1.loss_bbox: 0.6690, d1.loss_iou: 0.9792, d2.loss_bbox: 0.6545, d2.loss_iou: 0.9585, d3.loss_bbox: 0.6437, d3.loss_iou: 0.9456, d4.loss_bbox: 0.6377, d4.loss_iou: 0.9391, loss: 12.8461, grad_norm: 15.0706 2022-10-27 01:04:40,070 - mmdet - INFO - Epoch [38][800/1849] lr: 2.000e-04, eta: 2:13:41, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1324, loss_bbox: 0.6367, loss_iou: 0.9369, d0.loss_bbox: 0.6920, d0.loss_iou: 1.0104, d1.loss_bbox: 0.6668, d1.loss_iou: 0.9776, d2.loss_bbox: 0.6529, d2.loss_iou: 0.9578, d3.loss_bbox: 0.6430, d3.loss_iou: 0.9451, d4.loss_bbox: 0.6371, d4.loss_iou: 0.9379, loss: 12.8267, grad_norm: 13.4404 2022-10-27 01:04:57,527 - mmdet - INFO - Epoch [38][850/1849] lr: 2.000e-04, eta: 2:13:24, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1350, loss_bbox: 0.6394, loss_iou: 0.9397, d0.loss_bbox: 0.6959, d0.loss_iou: 1.0141, d1.loss_bbox: 0.6710, d1.loss_iou: 0.9803, d2.loss_bbox: 0.6566, d2.loss_iou: 0.9600, d3.loss_bbox: 0.6458, d3.loss_iou: 0.9474, d4.loss_bbox: 0.6399, d4.loss_iou: 0.9406, loss: 12.8657, grad_norm: 15.4891 2022-10-27 01:05:15,005 - mmdet - INFO - Epoch [38][900/1849] lr: 2.000e-04, eta: 2:13:07, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1277, loss_bbox: 0.6381, loss_iou: 0.9406, d0.loss_bbox: 0.6979, d0.loss_iou: 1.0166, d1.loss_bbox: 0.6705, d1.loss_iou: 0.9810, d2.loss_bbox: 0.6554, d2.loss_iou: 0.9609, d3.loss_bbox: 0.6450, d3.loss_iou: 0.9483, d4.loss_bbox: 0.6386, d4.loss_iou: 0.9415, loss: 12.8623, grad_norm: 13.6820 2022-10-27 01:05:32,558 - mmdet - INFO - Epoch [38][950/1849] lr: 2.000e-04, eta: 2:12:50, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1327, loss_bbox: 0.6356, loss_iou: 0.9386, d0.loss_bbox: 0.6954, d0.loss_iou: 1.0139, d1.loss_bbox: 0.6695, d1.loss_iou: 0.9798, d2.loss_bbox: 0.6534, d2.loss_iou: 0.9595, d3.loss_bbox: 0.6426, d3.loss_iou: 0.9465, d4.loss_bbox: 0.6364, d4.loss_iou: 0.9394, loss: 12.8432, grad_norm: 13.7629 2022-10-27 01:05:49,689 - mmdet - INFO - Epoch [38][1000/1849] lr: 2.000e-04, eta: 2:12:32, time: 0.343, data_time: 0.009, memory: 4055, loss_contrastive: 3.1348, loss_bbox: 0.6386, loss_iou: 0.9411, d0.loss_bbox: 0.6952, d0.loss_iou: 1.0146, d1.loss_bbox: 0.6723, d1.loss_iou: 0.9818, d2.loss_bbox: 0.6558, d2.loss_iou: 0.9615, d3.loss_bbox: 0.6457, d3.loss_iou: 0.9482, d4.loss_bbox: 0.6396, d4.loss_iou: 0.9421, loss: 12.8715, grad_norm: 12.5618 2022-10-27 01:06:06,810 - mmdet - INFO - Epoch [38][1050/1849] lr: 2.000e-04, eta: 2:12:15, time: 0.342, data_time: 0.009, memory: 4055, loss_contrastive: 3.1318, loss_bbox: 0.6331, loss_iou: 0.9398, d0.loss_bbox: 0.6903, d0.loss_iou: 1.0151, d1.loss_bbox: 0.6668, d1.loss_iou: 0.9812, d2.loss_bbox: 0.6506, d2.loss_iou: 0.9600, d3.loss_bbox: 0.6402, d3.loss_iou: 0.9473, d4.loss_bbox: 0.6340, d4.loss_iou: 0.9409, loss: 12.8310, grad_norm: 14.0916 2022-10-27 01:06:24,495 - mmdet - INFO - Epoch [38][1100/1849] lr: 2.000e-04, eta: 2:11:58, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1363, loss_bbox: 0.6360, loss_iou: 0.9405, d0.loss_bbox: 0.6921, d0.loss_iou: 1.0128, d1.loss_bbox: 0.6689, d1.loss_iou: 0.9814, d2.loss_bbox: 0.6531, d2.loss_iou: 0.9616, d3.loss_bbox: 0.6422, d3.loss_iou: 0.9486, d4.loss_bbox: 0.6367, d4.loss_iou: 0.9416, loss: 12.8518, grad_norm: 13.5468 2022-10-27 01:06:42,128 - mmdet - INFO - Epoch [38][1150/1849] lr: 2.000e-04, eta: 2:11:41, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1308, loss_bbox: 0.6384, loss_iou: 0.9386, d0.loss_bbox: 0.6947, d0.loss_iou: 1.0101, d1.loss_bbox: 0.6704, d1.loss_iou: 0.9791, d2.loss_bbox: 0.6553, d2.loss_iou: 0.9589, d3.loss_bbox: 0.6449, d3.loss_iou: 0.9464, d4.loss_bbox: 0.6390, d4.loss_iou: 0.9393, loss: 12.8457, grad_norm: 15.0375 2022-10-27 01:06:59,457 - mmdet - INFO - Epoch [38][1200/1849] lr: 2.000e-04, eta: 2:11:24, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1324, loss_bbox: 0.6335, loss_iou: 0.9393, d0.loss_bbox: 0.6909, d0.loss_iou: 1.0125, d1.loss_bbox: 0.6672, d1.loss_iou: 0.9804, d2.loss_bbox: 0.6508, d2.loss_iou: 0.9599, d3.loss_bbox: 0.6404, d3.loss_iou: 0.9473, d4.loss_bbox: 0.6341, d4.loss_iou: 0.9404, loss: 12.8291, grad_norm: 14.3821 2022-10-27 01:07:16,636 - mmdet - INFO - Epoch [38][1250/1849] lr: 2.000e-04, eta: 2:11:06, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1305, loss_bbox: 0.6364, loss_iou: 0.9391, d0.loss_bbox: 0.6931, d0.loss_iou: 1.0125, d1.loss_bbox: 0.6682, d1.loss_iou: 0.9791, d2.loss_bbox: 0.6538, d2.loss_iou: 0.9602, d3.loss_bbox: 0.6430, d3.loss_iou: 0.9475, d4.loss_bbox: 0.6371, d4.loss_iou: 0.9401, loss: 12.8406, grad_norm: 13.4911 2022-10-27 01:07:33,933 - mmdet - INFO - Epoch [38][1300/1849] lr: 2.000e-04, eta: 2:10:49, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1319, loss_bbox: 0.6321, loss_iou: 0.9349, d0.loss_bbox: 0.6896, d0.loss_iou: 1.0098, d1.loss_bbox: 0.6651, d1.loss_iou: 0.9762, d2.loss_bbox: 0.6498, d2.loss_iou: 0.9556, d3.loss_bbox: 0.6389, d3.loss_iou: 0.9429, d4.loss_bbox: 0.6328, d4.loss_iou: 0.9360, loss: 12.7955, grad_norm: 14.9629 2022-10-27 01:07:51,095 - mmdet - INFO - Epoch [38][1350/1849] lr: 2.000e-04, eta: 2:10:32, time: 0.343, data_time: 0.009, memory: 4055, loss_contrastive: 3.1317, loss_bbox: 0.6324, loss_iou: 0.9326, d0.loss_bbox: 0.6909, d0.loss_iou: 1.0095, d1.loss_bbox: 0.6654, d1.loss_iou: 0.9743, d2.loss_bbox: 0.6499, d2.loss_iou: 0.9535, d3.loss_bbox: 0.6390, d3.loss_iou: 0.9399, d4.loss_bbox: 0.6334, d4.loss_iou: 0.9335, loss: 12.7859, grad_norm: 14.2920 2022-10-27 01:08:08,693 - mmdet - INFO - Epoch [38][1400/1849] lr: 2.000e-04, eta: 2:10:15, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1346, loss_bbox: 0.6342, loss_iou: 0.9371, d0.loss_bbox: 0.6917, d0.loss_iou: 1.0115, d1.loss_bbox: 0.6665, d1.loss_iou: 0.9777, d2.loss_bbox: 0.6515, d2.loss_iou: 0.9584, d3.loss_bbox: 0.6406, d3.loss_iou: 0.9457, d4.loss_bbox: 0.6352, d4.loss_iou: 0.9380, loss: 12.8228, grad_norm: 16.7480 2022-10-27 01:08:25,914 - mmdet - INFO - Epoch [38][1450/1849] lr: 2.000e-04, eta: 2:09:57, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1300, loss_bbox: 0.6390, loss_iou: 0.9382, d0.loss_bbox: 0.6966, d0.loss_iou: 1.0112, d1.loss_bbox: 0.6714, d1.loss_iou: 0.9797, d2.loss_bbox: 0.6563, d2.loss_iou: 0.9586, d3.loss_bbox: 0.6453, d3.loss_iou: 0.9463, d4.loss_bbox: 0.6396, d4.loss_iou: 0.9391, loss: 12.8511, grad_norm: 13.1899 2022-10-27 01:08:43,080 - mmdet - INFO - Epoch [38][1500/1849] lr: 2.000e-04, eta: 2:09:40, time: 0.343, data_time: 0.009, memory: 4055, loss_contrastive: 3.1381, loss_bbox: 0.6375, loss_iou: 0.9370, d0.loss_bbox: 0.6948, d0.loss_iou: 1.0119, d1.loss_bbox: 0.6691, d1.loss_iou: 0.9776, d2.loss_bbox: 0.6546, d2.loss_iou: 0.9575, d3.loss_bbox: 0.6443, d3.loss_iou: 0.9449, d4.loss_bbox: 0.6384, d4.loss_iou: 0.9378, loss: 12.8436, grad_norm: 13.8501 2022-10-27 01:09:00,539 - mmdet - INFO - Epoch [38][1550/1849] lr: 2.000e-04, eta: 2:09:23, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1302, loss_bbox: 0.6374, loss_iou: 0.9343, d0.loss_bbox: 0.6949, d0.loss_iou: 1.0093, d1.loss_bbox: 0.6701, d1.loss_iou: 0.9756, d2.loss_bbox: 0.6552, d2.loss_iou: 0.9552, d3.loss_bbox: 0.6444, d3.loss_iou: 0.9424, d4.loss_bbox: 0.6383, d4.loss_iou: 0.9353, loss: 12.8227, grad_norm: 15.0239 2022-10-27 01:09:18,042 - mmdet - INFO - Epoch [38][1600/1849] lr: 2.000e-04, eta: 2:09:06, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1340, loss_bbox: 0.6361, loss_iou: 0.9363, d0.loss_bbox: 0.6933, d0.loss_iou: 1.0117, d1.loss_bbox: 0.6681, d1.loss_iou: 0.9785, d2.loss_bbox: 0.6538, d2.loss_iou: 0.9573, d3.loss_bbox: 0.6431, d3.loss_iou: 0.9443, d4.loss_bbox: 0.6371, d4.loss_iou: 0.9372, loss: 12.8308, grad_norm: 13.5324 2022-10-27 01:09:35,368 - mmdet - INFO - Epoch [38][1650/1849] lr: 2.000e-04, eta: 2:08:48, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1340, loss_bbox: 0.6364, loss_iou: 0.9374, d0.loss_bbox: 0.6926, d0.loss_iou: 1.0108, d1.loss_bbox: 0.6688, d1.loss_iou: 0.9781, d2.loss_bbox: 0.6535, d2.loss_iou: 0.9585, d3.loss_bbox: 0.6439, d3.loss_iou: 0.9453, d4.loss_bbox: 0.6372, d4.loss_iou: 0.9384, loss: 12.8347, grad_norm: 14.0823 2022-10-27 01:09:52,747 - mmdet - INFO - Epoch [38][1700/1849] lr: 2.000e-04, eta: 2:08:31, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1338, loss_bbox: 0.6392, loss_iou: 0.9384, d0.loss_bbox: 0.6959, d0.loss_iou: 1.0141, d1.loss_bbox: 0.6715, d1.loss_iou: 0.9794, d2.loss_bbox: 0.6563, d2.loss_iou: 0.9591, d3.loss_bbox: 0.6452, d3.loss_iou: 0.9464, d4.loss_bbox: 0.6401, d4.loss_iou: 0.9391, loss: 12.8587, grad_norm: 15.8859 2022-10-27 01:10:10,160 - mmdet - INFO - Epoch [38][1750/1849] lr: 2.000e-04, eta: 2:08:14, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1314, loss_bbox: 0.6377, loss_iou: 0.9381, d0.loss_bbox: 0.6956, d0.loss_iou: 1.0146, d1.loss_bbox: 0.6703, d1.loss_iou: 0.9803, d2.loss_bbox: 0.6552, d2.loss_iou: 0.9593, d3.loss_bbox: 0.6443, d3.loss_iou: 0.9459, d4.loss_bbox: 0.6382, d4.loss_iou: 0.9393, loss: 12.8501, grad_norm: 14.8151 2022-10-27 01:10:27,546 - mmdet - INFO - Epoch [38][1800/1849] lr: 2.000e-04, eta: 2:07:57, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1358, loss_bbox: 0.6361, loss_iou: 0.9353, d0.loss_bbox: 0.6931, d0.loss_iou: 1.0096, d1.loss_bbox: 0.6682, d1.loss_iou: 0.9767, d2.loss_bbox: 0.6529, d2.loss_iou: 0.9559, d3.loss_bbox: 0.6425, d3.loss_iou: 0.9428, d4.loss_bbox: 0.6370, d4.loss_iou: 0.9363, loss: 12.8222, grad_norm: 12.1295 2022-10-27 01:10:44,644 - mmdet - INFO - Saving checkpoint at 38 epochs 2022-10-27 01:11:10,127 - mmdet - INFO - Epoch [39][50/1849] lr: 2.000e-04, eta: 2:07:19, time: 0.479, data_time: 0.069, memory: 4055, loss_contrastive: 3.1400, loss_bbox: 0.6339, loss_iou: 0.9306, d0.loss_bbox: 0.6930, d0.loss_iou: 1.0079, d1.loss_bbox: 0.6668, d1.loss_iou: 0.9732, d2.loss_bbox: 0.6514, d2.loss_iou: 0.9523, d3.loss_bbox: 0.6403, d3.loss_iou: 0.9384, d4.loss_bbox: 0.6346, d4.loss_iou: 0.9317, loss: 12.7940, grad_norm: 14.5545 2022-10-27 01:11:32,075 - mmdet - INFO - Epoch [39][100/1849] lr: 2.000e-04, eta: 2:07:04, time: 0.439, data_time: 0.008, memory: 4055, loss_contrastive: 3.1335, loss_bbox: 0.6354, loss_iou: 0.9385, d0.loss_bbox: 0.6927, d0.loss_iou: 1.0142, d1.loss_bbox: 0.6680, d1.loss_iou: 0.9805, d2.loss_bbox: 0.6520, d2.loss_iou: 0.9604, d3.loss_bbox: 0.6412, d3.loss_iou: 0.9467, d4.loss_bbox: 0.6357, d4.loss_iou: 0.9399, loss: 12.8387, grad_norm: 12.3301 2022-10-27 01:11:54,353 - mmdet - INFO - Epoch [39][150/1849] lr: 2.000e-04, eta: 2:06:48, time: 0.445, data_time: 0.009, memory: 4055, loss_contrastive: 3.1355, loss_bbox: 0.6370, loss_iou: 0.9399, d0.loss_bbox: 0.6931, d0.loss_iou: 1.0141, d1.loss_bbox: 0.6697, d1.loss_iou: 0.9813, d2.loss_bbox: 0.6546, d2.loss_iou: 0.9605, d3.loss_bbox: 0.6437, d3.loss_iou: 0.9476, d4.loss_bbox: 0.6376, d4.loss_iou: 0.9411, loss: 12.8558, grad_norm: 13.5349 2022-10-27 01:12:18,808 - mmdet - INFO - Epoch [39][200/1849] lr: 2.000e-04, eta: 2:06:33, time: 0.489, data_time: 0.009, memory: 4055, loss_contrastive: 3.1337, loss_bbox: 0.6348, loss_iou: 0.9368, d0.loss_bbox: 0.6929, d0.loss_iou: 1.0119, d1.loss_bbox: 0.6678, d1.loss_iou: 0.9781, d2.loss_bbox: 0.6528, d2.loss_iou: 0.9572, d3.loss_bbox: 0.6417, d3.loss_iou: 0.9444, d4.loss_bbox: 0.6359, d4.loss_iou: 0.9376, loss: 12.8257, grad_norm: 20.5378 2022-10-27 01:12:41,031 - mmdet - INFO - Epoch [39][250/1849] lr: 2.000e-04, eta: 2:06:17, time: 0.444, data_time: 0.009, memory: 4055, loss_contrastive: 3.1416, loss_bbox: 0.6337, loss_iou: 0.9363, d0.loss_bbox: 0.6896, d0.loss_iou: 1.0117, d1.loss_bbox: 0.6648, d1.loss_iou: 0.9775, d2.loss_bbox: 0.6499, d2.loss_iou: 0.9572, d3.loss_bbox: 0.6400, d3.loss_iou: 0.9442, d4.loss_bbox: 0.6345, d4.loss_iou: 0.9371, loss: 12.8181, grad_norm: 12.9372 2022-10-27 01:13:05,201 - mmdet - INFO - Epoch [39][300/1849] lr: 2.000e-04, eta: 2:06:02, time: 0.483, data_time: 0.009, memory: 4055, loss_contrastive: 3.1358, loss_bbox: 0.6357, loss_iou: 0.9356, d0.loss_bbox: 0.6930, d0.loss_iou: 1.0104, d1.loss_bbox: 0.6679, d1.loss_iou: 0.9775, d2.loss_bbox: 0.6529, d2.loss_iou: 0.9565, d3.loss_bbox: 0.6425, d3.loss_iou: 0.9435, d4.loss_bbox: 0.6364, d4.loss_iou: 0.9367, loss: 12.8244, grad_norm: 12.9099 2022-10-27 01:13:25,011 - mmdet - INFO - Epoch [39][350/1849] lr: 2.000e-04, eta: 2:05:46, time: 0.396, data_time: 0.009, memory: 4055, loss_contrastive: 3.1330, loss_bbox: 0.6370, loss_iou: 0.9333, d0.loss_bbox: 0.6944, d0.loss_iou: 1.0075, d1.loss_bbox: 0.6690, d1.loss_iou: 0.9744, d2.loss_bbox: 0.6545, d2.loss_iou: 0.9537, d3.loss_bbox: 0.6436, d3.loss_iou: 0.9412, d4.loss_bbox: 0.6379, d4.loss_iou: 0.9345, loss: 12.8139, grad_norm: 14.5356 2022-10-27 01:13:54,290 - mmdet - INFO - Epoch [39][400/1849] lr: 2.000e-04, eta: 2:05:32, time: 0.586, data_time: 0.009, memory: 4055, loss_contrastive: 3.1303, loss_bbox: 0.6356, loss_iou: 0.9400, d0.loss_bbox: 0.6932, d0.loss_iou: 1.0152, d1.loss_bbox: 0.6672, d1.loss_iou: 0.9815, d2.loss_bbox: 0.6530, d2.loss_iou: 0.9610, d3.loss_bbox: 0.6426, d3.loss_iou: 0.9480, d4.loss_bbox: 0.6362, d4.loss_iou: 0.9410, loss: 12.8448, grad_norm: 14.4514 2022-10-27 01:14:11,875 - mmdet - INFO - Epoch [39][450/1849] lr: 2.000e-04, eta: 2:05:15, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1284, loss_bbox: 0.6344, loss_iou: 0.9341, d0.loss_bbox: 0.6910, d0.loss_iou: 1.0085, d1.loss_bbox: 0.6676, d1.loss_iou: 0.9764, d2.loss_bbox: 0.6522, d2.loss_iou: 0.9555, d3.loss_bbox: 0.6409, d3.loss_iou: 0.9423, d4.loss_bbox: 0.6351, d4.loss_iou: 0.9350, loss: 12.8014, grad_norm: 13.0609 2022-10-27 01:14:31,693 - mmdet - INFO - Epoch [39][500/1849] lr: 2.000e-04, eta: 2:04:58, time: 0.396, data_time: 0.009, memory: 4055, loss_contrastive: 3.1303, loss_bbox: 0.6340, loss_iou: 0.9351, d0.loss_bbox: 0.6918, d0.loss_iou: 1.0111, d1.loss_bbox: 0.6674, d1.loss_iou: 0.9764, d2.loss_bbox: 0.6522, d2.loss_iou: 0.9568, d3.loss_bbox: 0.6408, d3.loss_iou: 0.9433, d4.loss_bbox: 0.6346, d4.loss_iou: 0.9363, loss: 12.8101, grad_norm: 14.2929 2022-10-27 01:14:55,788 - mmdet - INFO - Epoch [39][550/1849] lr: 2.000e-04, eta: 2:04:43, time: 0.482, data_time: 0.008, memory: 4055, loss_contrastive: 3.1289, loss_bbox: 0.6359, loss_iou: 0.9346, d0.loss_bbox: 0.6934, d0.loss_iou: 1.0086, d1.loss_bbox: 0.6679, d1.loss_iou: 0.9751, d2.loss_bbox: 0.6535, d2.loss_iou: 0.9557, d3.loss_bbox: 0.6431, d3.loss_iou: 0.9424, d4.loss_bbox: 0.6367, d4.loss_iou: 0.9356, loss: 12.8114, grad_norm: 15.2092 2022-10-27 01:15:20,590 - mmdet - INFO - Epoch [39][600/1849] lr: 2.000e-04, eta: 2:04:28, time: 0.496, data_time: 0.008, memory: 4055, loss_contrastive: 3.1317, loss_bbox: 0.6329, loss_iou: 0.9397, d0.loss_bbox: 0.6899, d0.loss_iou: 1.0128, d1.loss_bbox: 0.6648, d1.loss_iou: 0.9800, d2.loss_bbox: 0.6501, d2.loss_iou: 0.9599, d3.loss_bbox: 0.6396, d3.loss_iou: 0.9469, d4.loss_bbox: 0.6335, d4.loss_iou: 0.9404, loss: 12.8222, grad_norm: 14.2499 2022-10-27 01:15:38,180 - mmdet - INFO - Epoch [39][650/1849] lr: 2.000e-04, eta: 2:04:11, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1311, loss_bbox: 0.6349, loss_iou: 0.9377, d0.loss_bbox: 0.6941, d0.loss_iou: 1.0141, d1.loss_bbox: 0.6680, d1.loss_iou: 0.9800, d2.loss_bbox: 0.6526, d2.loss_iou: 0.9589, d3.loss_bbox: 0.6418, d3.loss_iou: 0.9457, d4.loss_bbox: 0.6354, d4.loss_iou: 0.9388, loss: 12.8331, grad_norm: 15.5451 2022-10-27 01:15:55,482 - mmdet - INFO - Epoch [39][700/1849] lr: 2.000e-04, eta: 2:03:54, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1309, loss_bbox: 0.6372, loss_iou: 0.9367, d0.loss_bbox: 0.6948, d0.loss_iou: 1.0126, d1.loss_bbox: 0.6702, d1.loss_iou: 0.9781, d2.loss_bbox: 0.6556, d2.loss_iou: 0.9575, d3.loss_bbox: 0.6438, d3.loss_iou: 0.9442, d4.loss_bbox: 0.6376, d4.loss_iou: 0.9376, loss: 12.8368, grad_norm: 13.7935 2022-10-27 01:16:15,182 - mmdet - INFO - Epoch [39][750/1849] lr: 2.000e-04, eta: 2:03:37, time: 0.394, data_time: 0.009, memory: 4055, loss_contrastive: 3.1347, loss_bbox: 0.6400, loss_iou: 0.9433, d0.loss_bbox: 0.6960, d0.loss_iou: 1.0168, d1.loss_bbox: 0.6715, d1.loss_iou: 0.9836, d2.loss_bbox: 0.6569, d2.loss_iou: 0.9639, d3.loss_bbox: 0.6463, d3.loss_iou: 0.9505, d4.loss_bbox: 0.6407, d4.loss_iou: 0.9444, loss: 12.8888, grad_norm: 14.3376 2022-10-27 01:16:32,536 - mmdet - INFO - Epoch [39][800/1849] lr: 2.000e-04, eta: 2:03:20, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1275, loss_bbox: 0.6350, loss_iou: 0.9370, d0.loss_bbox: 0.6921, d0.loss_iou: 1.0117, d1.loss_bbox: 0.6674, d1.loss_iou: 0.9783, d2.loss_bbox: 0.6531, d2.loss_iou: 0.9584, d3.loss_bbox: 0.6421, d3.loss_iou: 0.9448, d4.loss_bbox: 0.6356, d4.loss_iou: 0.9381, loss: 12.8211, grad_norm: 14.0075 2022-10-27 01:16:54,670 - mmdet - INFO - Epoch [39][850/1849] lr: 2.000e-04, eta: 2:03:04, time: 0.443, data_time: 0.009, memory: 4055, loss_contrastive: 3.1361, loss_bbox: 0.6358, loss_iou: 0.9413, d0.loss_bbox: 0.6945, d0.loss_iou: 1.0175, d1.loss_bbox: 0.6702, d1.loss_iou: 0.9845, d2.loss_bbox: 0.6539, d2.loss_iou: 0.9638, d3.loss_bbox: 0.6426, d3.loss_iou: 0.9495, d4.loss_bbox: 0.6366, d4.loss_iou: 0.9424, loss: 12.8688, grad_norm: 14.8819 2022-10-27 01:17:12,113 - mmdet - INFO - Epoch [39][900/1849] lr: 2.000e-04, eta: 2:02:47, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1346, loss_bbox: 0.6382, loss_iou: 0.9371, d0.loss_bbox: 0.6971, d0.loss_iou: 1.0129, d1.loss_bbox: 0.6717, d1.loss_iou: 0.9791, d2.loss_bbox: 0.6568, d2.loss_iou: 0.9582, d3.loss_bbox: 0.6449, d3.loss_iou: 0.9453, d4.loss_bbox: 0.6389, d4.loss_iou: 0.9382, loss: 12.8530, grad_norm: 13.7864 2022-10-27 01:17:29,572 - mmdet - INFO - Epoch [39][950/1849] lr: 2.000e-04, eta: 2:02:29, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1284, loss_bbox: 0.6370, loss_iou: 0.9405, d0.loss_bbox: 0.6931, d0.loss_iou: 1.0139, d1.loss_bbox: 0.6696, d1.loss_iou: 0.9813, d2.loss_bbox: 0.6540, d2.loss_iou: 0.9613, d3.loss_bbox: 0.6435, d3.loss_iou: 0.9482, d4.loss_bbox: 0.6380, d4.loss_iou: 0.9415, loss: 12.8503, grad_norm: 12.9793 2022-10-27 01:17:47,049 - mmdet - INFO - Epoch [39][1000/1849] lr: 2.000e-04, eta: 2:02:12, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1267, loss_bbox: 0.6363, loss_iou: 0.9368, d0.loss_bbox: 0.6929, d0.loss_iou: 1.0132, d1.loss_bbox: 0.6681, d1.loss_iou: 0.9790, d2.loss_bbox: 0.6535, d2.loss_iou: 0.9587, d3.loss_bbox: 0.6428, d3.loss_iou: 0.9454, d4.loss_bbox: 0.6367, d4.loss_iou: 0.9381, loss: 12.8283, grad_norm: 13.3255 2022-10-27 01:18:04,637 - mmdet - INFO - Epoch [39][1050/1849] lr: 2.000e-04, eta: 2:01:55, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1478, loss_bbox: 0.6385, loss_iou: 0.9383, d0.loss_bbox: 0.6945, d0.loss_iou: 1.0148, d1.loss_bbox: 0.6708, d1.loss_iou: 0.9802, d2.loss_bbox: 0.6549, d2.loss_iou: 0.9601, d3.loss_bbox: 0.6448, d3.loss_iou: 0.9466, d4.loss_bbox: 0.6390, d4.loss_iou: 0.9396, loss: 12.8699, grad_norm: 13.8090 2022-10-27 01:18:22,032 - mmdet - INFO - Epoch [39][1100/1849] lr: 2.000e-04, eta: 2:01:38, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1358, loss_bbox: 0.6390, loss_iou: 0.9385, d0.loss_bbox: 0.6956, d0.loss_iou: 1.0136, d1.loss_bbox: 0.6719, d1.loss_iou: 0.9792, d2.loss_bbox: 0.6568, d2.loss_iou: 0.9598, d3.loss_bbox: 0.6455, d3.loss_iou: 0.9470, d4.loss_bbox: 0.6398, d4.loss_iou: 0.9399, loss: 12.8625, grad_norm: 15.6035 2022-10-27 01:18:39,571 - mmdet - INFO - Epoch [39][1150/1849] lr: 2.000e-04, eta: 2:01:20, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1332, loss_bbox: 0.6376, loss_iou: 0.9396, d0.loss_bbox: 0.6944, d0.loss_iou: 1.0148, d1.loss_bbox: 0.6700, d1.loss_iou: 0.9813, d2.loss_bbox: 0.6545, d2.loss_iou: 0.9601, d3.loss_bbox: 0.6439, d3.loss_iou: 0.9478, d4.loss_bbox: 0.6384, d4.loss_iou: 0.9407, loss: 12.8565, grad_norm: 13.5945 2022-10-27 01:18:57,012 - mmdet - INFO - Epoch [39][1200/1849] lr: 2.000e-04, eta: 2:01:03, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1345, loss_bbox: 0.6347, loss_iou: 0.9387, d0.loss_bbox: 0.6908, d0.loss_iou: 1.0128, d1.loss_bbox: 0.6664, d1.loss_iou: 0.9793, d2.loss_bbox: 0.6514, d2.loss_iou: 0.9595, d3.loss_bbox: 0.6414, d3.loss_iou: 0.9466, d4.loss_bbox: 0.6352, d4.loss_iou: 0.9400, loss: 12.8311, grad_norm: 13.9450 2022-10-27 01:19:14,342 - mmdet - INFO - Epoch [39][1250/1849] lr: 2.000e-04, eta: 2:00:46, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1365, loss_bbox: 0.6337, loss_iou: 0.9381, d0.loss_bbox: 0.6923, d0.loss_iou: 1.0138, d1.loss_bbox: 0.6676, d1.loss_iou: 0.9806, d2.loss_bbox: 0.6522, d2.loss_iou: 0.9598, d3.loss_bbox: 0.6408, d3.loss_iou: 0.9460, d4.loss_bbox: 0.6345, d4.loss_iou: 0.9390, loss: 12.8349, grad_norm: 14.5128 2022-10-27 01:19:31,826 - mmdet - INFO - Epoch [39][1300/1849] lr: 2.000e-04, eta: 2:00:29, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1340, loss_bbox: 0.6364, loss_iou: 0.9395, d0.loss_bbox: 0.6940, d0.loss_iou: 1.0146, d1.loss_bbox: 0.6693, d1.loss_iou: 0.9811, d2.loss_bbox: 0.6546, d2.loss_iou: 0.9599, d3.loss_bbox: 0.6427, d3.loss_iou: 0.9476, d4.loss_bbox: 0.6372, d4.loss_iou: 0.9407, loss: 12.8517, grad_norm: 12.7829 2022-10-27 01:19:49,619 - mmdet - INFO - Epoch [39][1350/1849] lr: 2.000e-04, eta: 2:00:11, time: 0.356, data_time: 0.009, memory: 4055, loss_contrastive: 3.1296, loss_bbox: 0.6398, loss_iou: 0.9388, d0.loss_bbox: 0.6963, d0.loss_iou: 1.0139, d1.loss_bbox: 0.6716, d1.loss_iou: 0.9806, d2.loss_bbox: 0.6561, d2.loss_iou: 0.9607, d3.loss_bbox: 0.6463, d3.loss_iou: 0.9471, d4.loss_bbox: 0.6406, d4.loss_iou: 0.9400, loss: 12.8617, grad_norm: 12.5206 2022-10-27 01:20:07,155 - mmdet - INFO - Epoch [39][1400/1849] lr: 2.000e-04, eta: 1:59:54, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1371, loss_bbox: 0.6365, loss_iou: 0.9385, d0.loss_bbox: 0.6922, d0.loss_iou: 1.0119, d1.loss_bbox: 0.6681, d1.loss_iou: 0.9783, d2.loss_bbox: 0.6526, d2.loss_iou: 0.9583, d3.loss_bbox: 0.6432, d3.loss_iou: 0.9465, d4.loss_bbox: 0.6374, d4.loss_iou: 0.9394, loss: 12.8399, grad_norm: 12.5796 2022-10-27 01:20:24,804 - mmdet - INFO - Epoch [39][1450/1849] lr: 2.000e-04, eta: 1:59:37, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1312, loss_bbox: 0.6393, loss_iou: 0.9372, d0.loss_bbox: 0.6977, d0.loss_iou: 1.0143, d1.loss_bbox: 0.6718, d1.loss_iou: 0.9794, d2.loss_bbox: 0.6566, d2.loss_iou: 0.9582, d3.loss_bbox: 0.6462, d3.loss_iou: 0.9452, d4.loss_bbox: 0.6398, d4.loss_iou: 0.9381, loss: 12.8549, grad_norm: 13.6556 2022-10-27 01:20:42,138 - mmdet - INFO - Epoch [39][1500/1849] lr: 2.000e-04, eta: 1:59:20, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1295, loss_bbox: 0.6332, loss_iou: 0.9340, d0.loss_bbox: 0.6902, d0.loss_iou: 1.0084, d1.loss_bbox: 0.6653, d1.loss_iou: 0.9753, d2.loss_bbox: 0.6510, d2.loss_iou: 0.9547, d3.loss_bbox: 0.6399, d3.loss_iou: 0.9419, d4.loss_bbox: 0.6339, d4.loss_iou: 0.9352, loss: 12.7924, grad_norm: 13.5067 2022-10-27 01:20:59,741 - mmdet - INFO - Epoch [39][1550/1849] lr: 2.000e-04, eta: 1:59:02, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1316, loss_bbox: 0.6371, loss_iou: 0.9395, d0.loss_bbox: 0.6945, d0.loss_iou: 1.0134, d1.loss_bbox: 0.6699, d1.loss_iou: 0.9807, d2.loss_bbox: 0.6552, d2.loss_iou: 0.9608, d3.loss_bbox: 0.6437, d3.loss_iou: 0.9479, d4.loss_bbox: 0.6378, d4.loss_iou: 0.9405, loss: 12.8526, grad_norm: 14.7868 2022-10-27 01:21:17,137 - mmdet - INFO - Epoch [39][1600/1849] lr: 2.000e-04, eta: 1:58:45, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1286, loss_bbox: 0.6378, loss_iou: 0.9362, d0.loss_bbox: 0.6956, d0.loss_iou: 1.0126, d1.loss_bbox: 0.6706, d1.loss_iou: 0.9782, d2.loss_bbox: 0.6557, d2.loss_iou: 0.9584, d3.loss_bbox: 0.6446, d3.loss_iou: 0.9450, d4.loss_bbox: 0.6384, d4.loss_iou: 0.9376, loss: 12.8394, grad_norm: 15.3848 2022-10-27 01:21:34,450 - mmdet - INFO - Epoch [39][1650/1849] lr: 2.000e-04, eta: 1:58:28, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1280, loss_bbox: 0.6363, loss_iou: 0.9385, d0.loss_bbox: 0.6938, d0.loss_iou: 1.0127, d1.loss_bbox: 0.6690, d1.loss_iou: 0.9797, d2.loss_bbox: 0.6541, d2.loss_iou: 0.9595, d3.loss_bbox: 0.6428, d3.loss_iou: 0.9466, d4.loss_bbox: 0.6371, d4.loss_iou: 0.9394, loss: 12.8375, grad_norm: 14.0812 2022-10-27 01:21:51,559 - mmdet - INFO - Epoch [39][1700/1849] lr: 2.000e-04, eta: 1:58:10, time: 0.342, data_time: 0.009, memory: 4055, loss_contrastive: 3.1285, loss_bbox: 0.6326, loss_iou: 0.9333, d0.loss_bbox: 0.6919, d0.loss_iou: 1.0114, d1.loss_bbox: 0.6658, d1.loss_iou: 0.9757, d2.loss_bbox: 0.6501, d2.loss_iou: 0.9551, d3.loss_bbox: 0.6397, d3.loss_iou: 0.9415, d4.loss_bbox: 0.6334, d4.loss_iou: 0.9344, loss: 12.7934, grad_norm: 14.3265 2022-10-27 01:22:08,890 - mmdet - INFO - Epoch [39][1750/1849] lr: 2.000e-04, eta: 1:57:53, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1330, loss_bbox: 0.6353, loss_iou: 0.9331, d0.loss_bbox: 0.6944, d0.loss_iou: 1.0094, d1.loss_bbox: 0.6697, d1.loss_iou: 0.9746, d2.loss_bbox: 0.6535, d2.loss_iou: 0.9540, d3.loss_bbox: 0.6421, d3.loss_iou: 0.9411, d4.loss_bbox: 0.6360, d4.loss_iou: 0.9342, loss: 12.8103, grad_norm: 14.3356 2022-10-27 01:22:26,294 - mmdet - INFO - Epoch [39][1800/1849] lr: 2.000e-04, eta: 1:57:36, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1279, loss_bbox: 0.6356, loss_iou: 0.9344, d0.loss_bbox: 0.6943, d0.loss_iou: 1.0102, d1.loss_bbox: 0.6694, d1.loss_iou: 0.9761, d2.loss_bbox: 0.6537, d2.loss_iou: 0.9554, d3.loss_bbox: 0.6436, d3.loss_iou: 0.9425, d4.loss_bbox: 0.6364, d4.loss_iou: 0.9358, loss: 12.8154, grad_norm: 14.0576 2022-10-27 01:22:43,674 - mmdet - INFO - Saving checkpoint at 39 epochs 2022-10-27 01:23:05,431 - mmdet - INFO - Epoch [40][50/1849] lr: 2.000e-04, eta: 1:56:58, time: 0.409, data_time: 0.071, memory: 4055, loss_contrastive: 3.1294, loss_bbox: 0.6354, loss_iou: 0.9354, d0.loss_bbox: 0.6934, d0.loss_iou: 1.0101, d1.loss_bbox: 0.6678, d1.loss_iou: 0.9759, d2.loss_bbox: 0.6526, d2.loss_iou: 0.9549, d3.loss_bbox: 0.6415, d3.loss_iou: 0.9429, d4.loss_bbox: 0.6358, d4.loss_iou: 0.9368, loss: 12.8120, grad_norm: 14.1449 2022-10-27 01:23:23,063 - mmdet - INFO - Epoch [40][100/1849] lr: 2.000e-04, eta: 1:56:41, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1302, loss_bbox: 0.6330, loss_iou: 0.9332, d0.loss_bbox: 0.6903, d0.loss_iou: 1.0086, d1.loss_bbox: 0.6654, d1.loss_iou: 0.9753, d2.loss_bbox: 0.6503, d2.loss_iou: 0.9553, d3.loss_bbox: 0.6395, d3.loss_iou: 0.9414, d4.loss_bbox: 0.6337, d4.loss_iou: 0.9347, loss: 12.7907, grad_norm: 14.2575 2022-10-27 01:23:40,591 - mmdet - INFO - Epoch [40][150/1849] lr: 2.000e-04, eta: 1:56:23, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1311, loss_bbox: 0.6360, loss_iou: 0.9390, d0.loss_bbox: 0.6940, d0.loss_iou: 1.0125, d1.loss_bbox: 0.6694, d1.loss_iou: 0.9788, d2.loss_bbox: 0.6541, d2.loss_iou: 0.9596, d3.loss_bbox: 0.6426, d3.loss_iou: 0.9469, d4.loss_bbox: 0.6368, d4.loss_iou: 0.9400, loss: 12.8409, grad_norm: 14.3112 2022-10-27 01:23:57,959 - mmdet - INFO - Epoch [40][200/1849] lr: 2.000e-04, eta: 1:56:06, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1335, loss_bbox: 0.6317, loss_iou: 0.9330, d0.loss_bbox: 0.6898, d0.loss_iou: 1.0077, d1.loss_bbox: 0.6646, d1.loss_iou: 0.9744, d2.loss_bbox: 0.6495, d2.loss_iou: 0.9542, d3.loss_bbox: 0.6383, d3.loss_iou: 0.9413, d4.loss_bbox: 0.6324, d4.loss_iou: 0.9340, loss: 12.7843, grad_norm: 13.7589 2022-10-27 01:24:15,554 - mmdet - INFO - Epoch [40][250/1849] lr: 2.000e-04, eta: 1:55:49, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1336, loss_bbox: 0.6351, loss_iou: 0.9352, d0.loss_bbox: 0.6928, d0.loss_iou: 1.0099, d1.loss_bbox: 0.6672, d1.loss_iou: 0.9765, d2.loss_bbox: 0.6520, d2.loss_iou: 0.9561, d3.loss_bbox: 0.6417, d3.loss_iou: 0.9432, d4.loss_bbox: 0.6361, d4.loss_iou: 0.9361, loss: 12.8154, grad_norm: 12.0957 2022-10-27 01:24:33,144 - mmdet - INFO - Epoch [40][300/1849] lr: 2.000e-04, eta: 1:55:32, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1357, loss_bbox: 0.6334, loss_iou: 0.9329, d0.loss_bbox: 0.6898, d0.loss_iou: 1.0059, d1.loss_bbox: 0.6657, d1.loss_iou: 0.9738, d2.loss_bbox: 0.6503, d2.loss_iou: 0.9537, d3.loss_bbox: 0.6395, d3.loss_iou: 0.9409, d4.loss_bbox: 0.6340, d4.loss_iou: 0.9340, loss: 12.7895, grad_norm: 14.7667 2022-10-27 01:24:50,456 - mmdet - INFO - Epoch [40][350/1849] lr: 2.000e-04, eta: 1:55:14, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1362, loss_bbox: 0.6339, loss_iou: 0.9333, d0.loss_bbox: 0.6917, d0.loss_iou: 1.0097, d1.loss_bbox: 0.6665, d1.loss_iou: 0.9762, d2.loss_bbox: 0.6517, d2.loss_iou: 0.9547, d3.loss_bbox: 0.6404, d3.loss_iou: 0.9420, d4.loss_bbox: 0.6343, d4.loss_iou: 0.9346, loss: 12.8052, grad_norm: 15.0136 2022-10-27 01:25:07,765 - mmdet - INFO - Epoch [40][400/1849] lr: 2.000e-04, eta: 1:54:57, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1348, loss_bbox: 0.6338, loss_iou: 0.9359, d0.loss_bbox: 0.6927, d0.loss_iou: 1.0138, d1.loss_bbox: 0.6664, d1.loss_iou: 0.9796, d2.loss_bbox: 0.6514, d2.loss_iou: 0.9583, d3.loss_bbox: 0.6403, d3.loss_iou: 0.9445, d4.loss_bbox: 0.6346, d4.loss_iou: 0.9367, loss: 12.8228, grad_norm: 14.7631 2022-10-27 01:25:25,688 - mmdet - INFO - Epoch [40][450/1849] lr: 2.000e-04, eta: 1:54:40, time: 0.358, data_time: 0.009, memory: 4055, loss_contrastive: 3.1366, loss_bbox: 0.6350, loss_iou: 0.9364, d0.loss_bbox: 0.6924, d0.loss_iou: 1.0114, d1.loss_bbox: 0.6676, d1.loss_iou: 0.9776, d2.loss_bbox: 0.6528, d2.loss_iou: 0.9576, d3.loss_bbox: 0.6422, d3.loss_iou: 0.9445, d4.loss_bbox: 0.6359, d4.loss_iou: 0.9374, loss: 12.8275, grad_norm: 14.2882 2022-10-27 01:25:42,865 - mmdet - INFO - Epoch [40][500/1849] lr: 2.000e-04, eta: 1:54:23, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1372, loss_bbox: 0.6371, loss_iou: 0.9348, d0.loss_bbox: 0.6945, d0.loss_iou: 1.0101, d1.loss_bbox: 0.6700, d1.loss_iou: 0.9779, d2.loss_bbox: 0.6549, d2.loss_iou: 0.9565, d3.loss_bbox: 0.6443, d3.loss_iou: 0.9432, d4.loss_bbox: 0.6381, d4.loss_iou: 0.9357, loss: 12.8343, grad_norm: 13.9498 2022-10-27 01:26:00,370 - mmdet - INFO - Epoch [40][550/1849] lr: 2.000e-04, eta: 1:54:05, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1340, loss_bbox: 0.6341, loss_iou: 0.9364, d0.loss_bbox: 0.6914, d0.loss_iou: 1.0113, d1.loss_bbox: 0.6673, d1.loss_iou: 0.9787, d2.loss_bbox: 0.6521, d2.loss_iou: 0.9581, d3.loss_bbox: 0.6412, d3.loss_iou: 0.9449, d4.loss_bbox: 0.6348, d4.loss_iou: 0.9376, loss: 12.8219, grad_norm: 11.6290 2022-10-27 01:26:17,639 - mmdet - INFO - Epoch [40][600/1849] lr: 2.000e-04, eta: 1:53:48, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1352, loss_bbox: 0.6354, loss_iou: 0.9355, d0.loss_bbox: 0.6924, d0.loss_iou: 1.0105, d1.loss_bbox: 0.6678, d1.loss_iou: 0.9770, d2.loss_bbox: 0.6519, d2.loss_iou: 0.9570, d3.loss_bbox: 0.6419, d3.loss_iou: 0.9434, d4.loss_bbox: 0.6361, d4.loss_iou: 0.9366, loss: 12.8205, grad_norm: 15.1450 2022-10-27 01:26:35,084 - mmdet - INFO - Epoch [40][650/1849] lr: 2.000e-04, eta: 1:53:31, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1357, loss_bbox: 0.6343, loss_iou: 0.9338, d0.loss_bbox: 0.6913, d0.loss_iou: 1.0097, d1.loss_bbox: 0.6668, d1.loss_iou: 0.9756, d2.loss_bbox: 0.6518, d2.loss_iou: 0.9543, d3.loss_bbox: 0.6415, d3.loss_iou: 0.9416, d4.loss_bbox: 0.6352, d4.loss_iou: 0.9347, loss: 12.8064, grad_norm: 13.3857 2022-10-27 01:26:52,516 - mmdet - INFO - Epoch [40][700/1849] lr: 2.000e-04, eta: 1:53:13, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1357, loss_bbox: 0.6347, loss_iou: 0.9363, d0.loss_bbox: 0.6947, d0.loss_iou: 1.0126, d1.loss_bbox: 0.6679, d1.loss_iou: 0.9783, d2.loss_bbox: 0.6527, d2.loss_iou: 0.9582, d3.loss_bbox: 0.6418, d3.loss_iou: 0.9445, d4.loss_bbox: 0.6354, d4.loss_iou: 0.9376, loss: 12.8305, grad_norm: 14.3445 2022-10-27 01:27:09,772 - mmdet - INFO - Epoch [40][750/1849] lr: 2.000e-04, eta: 1:52:56, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1348, loss_bbox: 0.6355, loss_iou: 0.9367, d0.loss_bbox: 0.6945, d0.loss_iou: 1.0125, d1.loss_bbox: 0.6687, d1.loss_iou: 0.9784, d2.loss_bbox: 0.6542, d2.loss_iou: 0.9584, d3.loss_bbox: 0.6423, d3.loss_iou: 0.9446, d4.loss_bbox: 0.6365, d4.loss_iou: 0.9376, loss: 12.8347, grad_norm: 13.2449 2022-10-27 01:27:26,942 - mmdet - INFO - Epoch [40][800/1849] lr: 2.000e-04, eta: 1:52:39, time: 0.343, data_time: 0.009, memory: 4055, loss_contrastive: 3.1360, loss_bbox: 0.6337, loss_iou: 0.9386, d0.loss_bbox: 0.6931, d0.loss_iou: 1.0147, d1.loss_bbox: 0.6675, d1.loss_iou: 0.9801, d2.loss_bbox: 0.6513, d2.loss_iou: 0.9592, d3.loss_bbox: 0.6411, d3.loss_iou: 0.9462, d4.loss_bbox: 0.6346, d4.loss_iou: 0.9395, loss: 12.8355, grad_norm: 13.6902 2022-10-27 01:27:44,331 - mmdet - INFO - Epoch [40][850/1849] lr: 2.000e-04, eta: 1:52:22, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1348, loss_bbox: 0.6350, loss_iou: 0.9380, d0.loss_bbox: 0.6909, d0.loss_iou: 1.0123, d1.loss_bbox: 0.6676, d1.loss_iou: 0.9797, d2.loss_bbox: 0.6531, d2.loss_iou: 0.9595, d3.loss_bbox: 0.6422, d3.loss_iou: 0.9461, d4.loss_bbox: 0.6355, d4.loss_iou: 0.9391, loss: 12.8338, grad_norm: 12.2676 2022-10-27 01:28:01,587 - mmdet - INFO - Epoch [40][900/1849] lr: 2.000e-04, eta: 1:52:04, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1353, loss_bbox: 0.6346, loss_iou: 0.9352, d0.loss_bbox: 0.6926, d0.loss_iou: 1.0117, d1.loss_bbox: 0.6679, d1.loss_iou: 0.9776, d2.loss_bbox: 0.6524, d2.loss_iou: 0.9564, d3.loss_bbox: 0.6409, d3.loss_iou: 0.9430, d4.loss_bbox: 0.6351, d4.loss_iou: 0.9363, loss: 12.8190, grad_norm: 14.7831 2022-10-27 01:28:19,388 - mmdet - INFO - Epoch [40][950/1849] lr: 2.000e-04, eta: 1:51:47, time: 0.356, data_time: 0.009, memory: 4055, loss_contrastive: 3.1255, loss_bbox: 0.6332, loss_iou: 0.9361, d0.loss_bbox: 0.6907, d0.loss_iou: 1.0112, d1.loss_bbox: 0.6662, d1.loss_iou: 0.9789, d2.loss_bbox: 0.6512, d2.loss_iou: 0.9587, d3.loss_bbox: 0.6400, d3.loss_iou: 0.9449, d4.loss_bbox: 0.6341, d4.loss_iou: 0.9373, loss: 12.8082, grad_norm: 14.0760 2022-10-27 01:28:36,707 - mmdet - INFO - Epoch [40][1000/1849] lr: 2.000e-04, eta: 1:51:30, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1276, loss_bbox: 0.6315, loss_iou: 0.9325, d0.loss_bbox: 0.6895, d0.loss_iou: 1.0100, d1.loss_bbox: 0.6646, d1.loss_iou: 0.9756, d2.loss_bbox: 0.6488, d2.loss_iou: 0.9538, d3.loss_bbox: 0.6384, d3.loss_iou: 0.9407, d4.loss_bbox: 0.6325, d4.loss_iou: 0.9336, loss: 12.7791, grad_norm: 13.2765 2022-10-27 01:28:54,002 - mmdet - INFO - Epoch [40][1050/1849] lr: 2.000e-04, eta: 1:51:12, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1330, loss_bbox: 0.6349, loss_iou: 0.9352, d0.loss_bbox: 0.6917, d0.loss_iou: 1.0091, d1.loss_bbox: 0.6665, d1.loss_iou: 0.9758, d2.loss_bbox: 0.6517, d2.loss_iou: 0.9560, d3.loss_bbox: 0.6413, d3.loss_iou: 0.9434, d4.loss_bbox: 0.6353, d4.loss_iou: 0.9364, loss: 12.8103, grad_norm: 14.6567 2022-10-27 01:29:11,318 - mmdet - INFO - Epoch [40][1100/1849] lr: 2.000e-04, eta: 1:50:55, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1339, loss_bbox: 0.6319, loss_iou: 0.9317, d0.loss_bbox: 0.6909, d0.loss_iou: 1.0067, d1.loss_bbox: 0.6651, d1.loss_iou: 0.9735, d2.loss_bbox: 0.6493, d2.loss_iou: 0.9528, d3.loss_bbox: 0.6388, d3.loss_iou: 0.9398, d4.loss_bbox: 0.6327, d4.loss_iou: 0.9326, loss: 12.7797, grad_norm: 13.9650 2022-10-27 01:29:28,633 - mmdet - INFO - Epoch [40][1150/1849] lr: 2.000e-04, eta: 1:50:38, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1337, loss_bbox: 0.6328, loss_iou: 0.9352, d0.loss_bbox: 0.6909, d0.loss_iou: 1.0119, d1.loss_bbox: 0.6653, d1.loss_iou: 0.9771, d2.loss_bbox: 0.6499, d2.loss_iou: 0.9560, d3.loss_bbox: 0.6393, d3.loss_iou: 0.9426, d4.loss_bbox: 0.6337, d4.loss_iou: 0.9361, loss: 12.8044, grad_norm: 12.5549 2022-10-27 01:29:46,138 - mmdet - INFO - Epoch [40][1200/1849] lr: 2.000e-04, eta: 1:50:21, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1371, loss_bbox: 0.6363, loss_iou: 0.9382, d0.loss_bbox: 0.6936, d0.loss_iou: 1.0127, d1.loss_bbox: 0.6683, d1.loss_iou: 0.9796, d2.loss_bbox: 0.6534, d2.loss_iou: 0.9588, d3.loss_bbox: 0.6423, d3.loss_iou: 0.9458, d4.loss_bbox: 0.6369, d4.loss_iou: 0.9394, loss: 12.8424, grad_norm: 14.9664 2022-10-27 01:30:03,321 - mmdet - INFO - Epoch [40][1250/1849] lr: 2.000e-04, eta: 1:50:03, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1321, loss_bbox: 0.6336, loss_iou: 0.9366, d0.loss_bbox: 0.6910, d0.loss_iou: 1.0102, d1.loss_bbox: 0.6665, d1.loss_iou: 0.9762, d2.loss_bbox: 0.6507, d2.loss_iou: 0.9570, d3.loss_bbox: 0.6400, d3.loss_iou: 0.9440, d4.loss_bbox: 0.6344, d4.loss_iou: 0.9374, loss: 12.8097, grad_norm: 15.4367 2022-10-27 01:30:20,574 - mmdet - INFO - Epoch [40][1300/1849] lr: 2.000e-04, eta: 1:49:46, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1304, loss_bbox: 0.6345, loss_iou: 0.9361, d0.loss_bbox: 0.6919, d0.loss_iou: 1.0112, d1.loss_bbox: 0.6679, d1.loss_iou: 0.9774, d2.loss_bbox: 0.6524, d2.loss_iou: 0.9570, d3.loss_bbox: 0.6413, d3.loss_iou: 0.9436, d4.loss_bbox: 0.6351, d4.loss_iou: 0.9375, loss: 12.8164, grad_norm: 12.7036 2022-10-27 01:30:37,817 - mmdet - INFO - Epoch [40][1350/1849] lr: 2.000e-04, eta: 1:49:29, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1293, loss_bbox: 0.6331, loss_iou: 0.9354, d0.loss_bbox: 0.6905, d0.loss_iou: 1.0104, d1.loss_bbox: 0.6661, d1.loss_iou: 0.9760, d2.loss_bbox: 0.6513, d2.loss_iou: 0.9557, d3.loss_bbox: 0.6398, d3.loss_iou: 0.9430, d4.loss_bbox: 0.6337, d4.loss_iou: 0.9364, loss: 12.8006, grad_norm: 14.2362 2022-10-27 01:30:55,188 - mmdet - INFO - Epoch [40][1400/1849] lr: 2.000e-04, eta: 1:49:11, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1316, loss_bbox: 0.6340, loss_iou: 0.9330, d0.loss_bbox: 0.6912, d0.loss_iou: 1.0087, d1.loss_bbox: 0.6668, d1.loss_iou: 0.9756, d2.loss_bbox: 0.6514, d2.loss_iou: 0.9551, d3.loss_bbox: 0.6410, d3.loss_iou: 0.9419, d4.loss_bbox: 0.6346, d4.loss_iou: 0.9343, loss: 12.7991, grad_norm: 15.1280 2022-10-27 01:31:12,467 - mmdet - INFO - Epoch [40][1450/1849] lr: 2.000e-04, eta: 1:48:54, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1325, loss_bbox: 0.6330, loss_iou: 0.9339, d0.loss_bbox: 0.6904, d0.loss_iou: 1.0086, d1.loss_bbox: 0.6653, d1.loss_iou: 0.9752, d2.loss_bbox: 0.6502, d2.loss_iou: 0.9558, d3.loss_bbox: 0.6395, d3.loss_iou: 0.9420, d4.loss_bbox: 0.6338, d4.loss_iou: 0.9350, loss: 12.7951, grad_norm: 14.9044 2022-10-27 01:31:29,982 - mmdet - INFO - Epoch [40][1500/1849] lr: 2.000e-04, eta: 1:48:37, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1223, loss_bbox: 0.6318, loss_iou: 0.9341, d0.loss_bbox: 0.6899, d0.loss_iou: 1.0094, d1.loss_bbox: 0.6652, d1.loss_iou: 0.9759, d2.loss_bbox: 0.6505, d2.loss_iou: 0.9551, d3.loss_bbox: 0.6392, d3.loss_iou: 0.9420, d4.loss_bbox: 0.6326, d4.loss_iou: 0.9352, loss: 12.7833, grad_norm: 13.4124 2022-10-27 01:31:47,587 - mmdet - INFO - Epoch [40][1550/1849] lr: 2.000e-04, eta: 1:48:20, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1343, loss_bbox: 0.6352, loss_iou: 0.9380, d0.loss_bbox: 0.6928, d0.loss_iou: 1.0127, d1.loss_bbox: 0.6670, d1.loss_iou: 0.9793, d2.loss_bbox: 0.6520, d2.loss_iou: 0.9584, d3.loss_bbox: 0.6416, d3.loss_iou: 0.9458, d4.loss_bbox: 0.6360, d4.loss_iou: 0.9389, loss: 12.8319, grad_norm: 15.0280 2022-10-27 01:32:04,690 - mmdet - INFO - Epoch [40][1600/1849] lr: 2.000e-04, eta: 1:48:02, time: 0.342, data_time: 0.009, memory: 4055, loss_contrastive: 3.1347, loss_bbox: 0.6356, loss_iou: 0.9336, d0.loss_bbox: 0.6937, d0.loss_iou: 1.0076, d1.loss_bbox: 0.6690, d1.loss_iou: 0.9736, d2.loss_bbox: 0.6531, d2.loss_iou: 0.9541, d3.loss_bbox: 0.6422, d3.loss_iou: 0.9414, d4.loss_bbox: 0.6362, d4.loss_iou: 0.9346, loss: 12.8094, grad_norm: 16.0088 2022-10-27 01:32:22,037 - mmdet - INFO - Epoch [40][1650/1849] lr: 2.000e-04, eta: 1:47:45, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1261, loss_bbox: 0.6330, loss_iou: 0.9361, d0.loss_bbox: 0.6902, d0.loss_iou: 1.0114, d1.loss_bbox: 0.6655, d1.loss_iou: 0.9772, d2.loss_bbox: 0.6501, d2.loss_iou: 0.9568, d3.loss_bbox: 0.6398, d3.loss_iou: 0.9439, d4.loss_bbox: 0.6338, d4.loss_iou: 0.9369, loss: 12.8008, grad_norm: 13.4737 2022-10-27 01:32:39,577 - mmdet - INFO - Epoch [40][1700/1849] lr: 2.000e-04, eta: 1:47:28, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1290, loss_bbox: 0.6336, loss_iou: 0.9377, d0.loss_bbox: 0.6912, d0.loss_iou: 1.0133, d1.loss_bbox: 0.6664, d1.loss_iou: 0.9795, d2.loss_bbox: 0.6504, d2.loss_iou: 0.9585, d3.loss_bbox: 0.6400, d3.loss_iou: 0.9457, d4.loss_bbox: 0.6340, d4.loss_iou: 0.9385, loss: 12.8179, grad_norm: 15.5497 2022-10-27 01:32:57,151 - mmdet - INFO - Epoch [40][1750/1849] lr: 2.000e-04, eta: 1:47:11, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1394, loss_bbox: 0.6358, loss_iou: 0.9351, d0.loss_bbox: 0.6922, d0.loss_iou: 1.0092, d1.loss_bbox: 0.6691, d1.loss_iou: 0.9769, d2.loss_bbox: 0.6538, d2.loss_iou: 0.9565, d3.loss_bbox: 0.6425, d3.loss_iou: 0.9429, d4.loss_bbox: 0.6364, d4.loss_iou: 0.9362, loss: 12.8259, grad_norm: 13.0945 2022-10-27 01:33:14,361 - mmdet - INFO - Epoch [40][1800/1849] lr: 2.000e-04, eta: 1:46:53, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1356, loss_bbox: 0.6359, loss_iou: 0.9365, d0.loss_bbox: 0.6948, d0.loss_iou: 1.0140, d1.loss_bbox: 0.6695, d1.loss_iou: 0.9789, d2.loss_bbox: 0.6544, d2.loss_iou: 0.9581, d3.loss_bbox: 0.6429, d3.loss_iou: 0.9448, d4.loss_bbox: 0.6366, d4.loss_iou: 0.9377, loss: 12.8397, grad_norm: 14.8533 2022-10-27 01:33:31,896 - mmdet - INFO - Saving checkpoint at 40 epochs 2022-10-27 01:33:53,743 - mmdet - INFO - Epoch [41][50/1849] lr: 2.000e-05, eta: 1:46:16, time: 0.413, data_time: 0.070, memory: 4055, loss_contrastive: 3.1287, loss_bbox: 0.6279, loss_iou: 0.9305, d0.loss_bbox: 0.6883, d0.loss_iou: 1.0076, d1.loss_bbox: 0.6611, d1.loss_iou: 0.9725, d2.loss_bbox: 0.6466, d2.loss_iou: 0.9517, d3.loss_bbox: 0.6346, d3.loss_iou: 0.9391, d4.loss_bbox: 0.6289, d4.loss_iou: 0.9318, loss: 12.7492, grad_norm: 10.0479 2022-10-27 01:34:11,235 - mmdet - INFO - Epoch [41][100/1849] lr: 2.000e-05, eta: 1:45:58, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1310, loss_bbox: 0.6248, loss_iou: 0.9191, d0.loss_bbox: 0.6844, d0.loss_iou: 0.9961, d1.loss_bbox: 0.6588, d1.loss_iou: 0.9616, d2.loss_bbox: 0.6428, d2.loss_iou: 0.9407, d3.loss_bbox: 0.6316, d3.loss_iou: 0.9274, d4.loss_bbox: 0.6256, d4.loss_iou: 0.9203, loss: 12.6644, grad_norm: 9.2664 2022-10-27 01:34:28,949 - mmdet - INFO - Epoch [41][150/1849] lr: 2.000e-05, eta: 1:45:41, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1243, loss_bbox: 0.6181, loss_iou: 0.9218, d0.loss_bbox: 0.6766, d0.loss_iou: 1.0006, d1.loss_bbox: 0.6523, d1.loss_iou: 0.9656, d2.loss_bbox: 0.6370, d2.loss_iou: 0.9446, d3.loss_bbox: 0.6255, d3.loss_iou: 0.9301, d4.loss_bbox: 0.6192, d4.loss_iou: 0.9232, loss: 12.6388, grad_norm: 9.6026 2022-10-27 01:34:46,548 - mmdet - INFO - Epoch [41][200/1849] lr: 2.000e-05, eta: 1:45:24, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1213, loss_bbox: 0.6226, loss_iou: 0.9199, d0.loss_bbox: 0.6801, d0.loss_iou: 0.9964, d1.loss_bbox: 0.6557, d1.loss_iou: 0.9621, d2.loss_bbox: 0.6403, d2.loss_iou: 0.9413, d3.loss_bbox: 0.6299, d3.loss_iou: 0.9278, d4.loss_bbox: 0.6233, d4.loss_iou: 0.9214, loss: 12.6420, grad_norm: 9.1921 2022-10-27 01:35:04,175 - mmdet - INFO - Epoch [41][250/1849] lr: 2.000e-05, eta: 1:45:07, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1172, loss_bbox: 0.6216, loss_iou: 0.9176, d0.loss_bbox: 0.6809, d0.loss_iou: 0.9949, d1.loss_bbox: 0.6553, d1.loss_iou: 0.9601, d2.loss_bbox: 0.6392, d2.loss_iou: 0.9385, d3.loss_bbox: 0.6287, d3.loss_iou: 0.9258, d4.loss_bbox: 0.6224, d4.loss_iou: 0.9190, loss: 12.6212, grad_norm: 9.5117 2022-10-27 01:35:21,814 - mmdet - INFO - Epoch [41][300/1849] lr: 2.000e-05, eta: 1:44:50, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1218, loss_bbox: 0.6200, loss_iou: 0.9165, d0.loss_bbox: 0.6802, d0.loss_iou: 0.9955, d1.loss_bbox: 0.6532, d1.loss_iou: 0.9599, d2.loss_bbox: 0.6375, d2.loss_iou: 0.9378, d3.loss_bbox: 0.6271, d3.loss_iou: 0.9247, d4.loss_bbox: 0.6211, d4.loss_iou: 0.9179, loss: 12.6131, grad_norm: 9.1400 2022-10-27 01:35:39,356 - mmdet - INFO - Epoch [41][350/1849] lr: 2.000e-05, eta: 1:44:32, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1256, loss_bbox: 0.6209, loss_iou: 0.9190, d0.loss_bbox: 0.6785, d0.loss_iou: 0.9947, d1.loss_bbox: 0.6532, d1.loss_iou: 0.9607, d2.loss_bbox: 0.6382, d2.loss_iou: 0.9400, d3.loss_bbox: 0.6277, d3.loss_iou: 0.9273, d4.loss_bbox: 0.6218, d4.loss_iou: 0.9203, loss: 12.6276, grad_norm: 9.4279 2022-10-27 01:35:56,653 - mmdet - INFO - Epoch [41][400/1849] lr: 2.000e-05, eta: 1:44:15, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1149, loss_bbox: 0.6180, loss_iou: 0.9169, d0.loss_bbox: 0.6756, d0.loss_iou: 0.9953, d1.loss_bbox: 0.6510, d1.loss_iou: 0.9610, d2.loss_bbox: 0.6361, d2.loss_iou: 0.9388, d3.loss_bbox: 0.6249, d3.loss_iou: 0.9257, d4.loss_bbox: 0.6190, d4.loss_iou: 0.9185, loss: 12.5958, grad_norm: 8.9264 2022-10-27 01:36:14,385 - mmdet - INFO - Epoch [41][450/1849] lr: 2.000e-05, eta: 1:43:58, time: 0.355, data_time: 0.009, memory: 4055, loss_contrastive: 3.1149, loss_bbox: 0.6218, loss_iou: 0.9170, d0.loss_bbox: 0.6812, d0.loss_iou: 0.9930, d1.loss_bbox: 0.6562, d1.loss_iou: 0.9596, d2.loss_bbox: 0.6399, d2.loss_iou: 0.9381, d3.loss_bbox: 0.6291, d3.loss_iou: 0.9255, d4.loss_bbox: 0.6227, d4.loss_iou: 0.9186, loss: 12.6177, grad_norm: 8.3645 2022-10-27 01:36:31,956 - mmdet - INFO - Epoch [41][500/1849] lr: 2.000e-05, eta: 1:43:41, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1137, loss_bbox: 0.6179, loss_iou: 0.9159, d0.loss_bbox: 0.6764, d0.loss_iou: 0.9930, d1.loss_bbox: 0.6501, d1.loss_iou: 0.9581, d2.loss_bbox: 0.6354, d2.loss_iou: 0.9373, d3.loss_bbox: 0.6249, d3.loss_iou: 0.9245, d4.loss_bbox: 0.6189, d4.loss_iou: 0.9172, loss: 12.5834, grad_norm: 9.4533 2022-10-27 01:36:49,547 - mmdet - INFO - Epoch [41][550/1849] lr: 2.000e-05, eta: 1:43:23, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1129, loss_bbox: 0.6182, loss_iou: 0.9146, d0.loss_bbox: 0.6759, d0.loss_iou: 0.9914, d1.loss_bbox: 0.6513, d1.loss_iou: 0.9574, d2.loss_bbox: 0.6359, d2.loss_iou: 0.9361, d3.loss_bbox: 0.6246, d3.loss_iou: 0.9237, d4.loss_bbox: 0.6191, d4.loss_iou: 0.9160, loss: 12.5772, grad_norm: 9.4508 2022-10-27 01:37:06,980 - mmdet - INFO - Epoch [41][600/1849] lr: 2.000e-05, eta: 1:43:06, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1199, loss_bbox: 0.6167, loss_iou: 0.9139, d0.loss_bbox: 0.6763, d0.loss_iou: 0.9937, d1.loss_bbox: 0.6506, d1.loss_iou: 0.9579, d2.loss_bbox: 0.6350, d2.loss_iou: 0.9372, d3.loss_bbox: 0.6237, d3.loss_iou: 0.9233, d4.loss_bbox: 0.6174, d4.loss_iou: 0.9157, loss: 12.5814, grad_norm: 9.8376 2022-10-27 01:37:24,481 - mmdet - INFO - Epoch [41][650/1849] lr: 2.000e-05, eta: 1:42:49, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1246, loss_bbox: 0.6186, loss_iou: 0.9134, d0.loss_bbox: 0.6771, d0.loss_iou: 0.9912, d1.loss_bbox: 0.6522, d1.loss_iou: 0.9568, d2.loss_bbox: 0.6370, d2.loss_iou: 0.9364, d3.loss_bbox: 0.6259, d3.loss_iou: 0.9220, d4.loss_bbox: 0.6195, d4.loss_iou: 0.9147, loss: 12.5894, grad_norm: 9.5025 2022-10-27 01:37:41,748 - mmdet - INFO - Epoch [41][700/1849] lr: 2.000e-05, eta: 1:42:32, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1162, loss_bbox: 0.6188, loss_iou: 0.9156, d0.loss_bbox: 0.6783, d0.loss_iou: 0.9934, d1.loss_bbox: 0.6532, d1.loss_iou: 0.9593, d2.loss_bbox: 0.6366, d2.loss_iou: 0.9375, d3.loss_bbox: 0.6258, d3.loss_iou: 0.9243, d4.loss_bbox: 0.6198, d4.loss_iou: 0.9171, loss: 12.5959, grad_norm: 9.8053 2022-10-27 01:37:58,993 - mmdet - INFO - Epoch [41][750/1849] lr: 2.000e-05, eta: 1:42:14, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1190, loss_bbox: 0.6173, loss_iou: 0.9105, d0.loss_bbox: 0.6770, d0.loss_iou: 0.9875, d1.loss_bbox: 0.6520, d1.loss_iou: 0.9536, d2.loss_bbox: 0.6361, d2.loss_iou: 0.9322, d3.loss_bbox: 0.6251, d3.loss_iou: 0.9187, d4.loss_bbox: 0.6184, d4.loss_iou: 0.9117, loss: 12.5592, grad_norm: 8.7516 2022-10-27 01:38:16,398 - mmdet - INFO - Epoch [41][800/1849] lr: 2.000e-05, eta: 1:41:57, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1236, loss_bbox: 0.6212, loss_iou: 0.9184, d0.loss_bbox: 0.6795, d0.loss_iou: 0.9946, d1.loss_bbox: 0.6548, d1.loss_iou: 0.9605, d2.loss_bbox: 0.6395, d2.loss_iou: 0.9404, d3.loss_bbox: 0.6281, d3.loss_iou: 0.9268, d4.loss_bbox: 0.6222, d4.loss_iou: 0.9200, loss: 12.6296, grad_norm: 9.3561 2022-10-27 01:38:33,702 - mmdet - INFO - Epoch [41][850/1849] lr: 2.000e-05, eta: 1:41:40, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1159, loss_bbox: 0.6168, loss_iou: 0.9125, d0.loss_bbox: 0.6763, d0.loss_iou: 0.9914, d1.loss_bbox: 0.6510, d1.loss_iou: 0.9559, d2.loss_bbox: 0.6352, d2.loss_iou: 0.9351, d3.loss_bbox: 0.6238, d3.loss_iou: 0.9212, d4.loss_bbox: 0.6176, d4.loss_iou: 0.9137, loss: 12.5665, grad_norm: 8.8990 2022-10-27 01:38:51,156 - mmdet - INFO - Epoch [41][900/1849] lr: 2.000e-05, eta: 1:41:23, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1141, loss_bbox: 0.6161, loss_iou: 0.9134, d0.loss_bbox: 0.6743, d0.loss_iou: 0.9893, d1.loss_bbox: 0.6494, d1.loss_iou: 0.9562, d2.loss_bbox: 0.6340, d2.loss_iou: 0.9350, d3.loss_bbox: 0.6227, d3.loss_iou: 0.9220, d4.loss_bbox: 0.6170, d4.loss_iou: 0.9148, loss: 12.5585, grad_norm: 9.1182 2022-10-27 01:39:08,807 - mmdet - INFO - Epoch [41][950/1849] lr: 2.000e-05, eta: 1:41:05, time: 0.353, data_time: 0.010, memory: 4055, loss_contrastive: 3.1160, loss_bbox: 0.6163, loss_iou: 0.9163, d0.loss_bbox: 0.6750, d0.loss_iou: 0.9928, d1.loss_bbox: 0.6502, d1.loss_iou: 0.9589, d2.loss_bbox: 0.6353, d2.loss_iou: 0.9382, d3.loss_bbox: 0.6237, d3.loss_iou: 0.9247, d4.loss_bbox: 0.6172, d4.loss_iou: 0.9179, loss: 12.5825, grad_norm: 9.0044 2022-10-27 01:39:26,234 - mmdet - INFO - Epoch [41][1000/1849] lr: 2.000e-05, eta: 1:40:48, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1226, loss_bbox: 0.6200, loss_iou: 0.9130, d0.loss_bbox: 0.6780, d0.loss_iou: 0.9900, d1.loss_bbox: 0.6524, d1.loss_iou: 0.9553, d2.loss_bbox: 0.6373, d2.loss_iou: 0.9346, d3.loss_bbox: 0.6265, d3.loss_iou: 0.9218, d4.loss_bbox: 0.6207, d4.loss_iou: 0.9144, loss: 12.5865, grad_norm: 9.2387 2022-10-27 01:39:43,717 - mmdet - INFO - Epoch [41][1050/1849] lr: 2.000e-05, eta: 1:40:31, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1146, loss_bbox: 0.6168, loss_iou: 0.9143, d0.loss_bbox: 0.6765, d0.loss_iou: 0.9913, d1.loss_bbox: 0.6507, d1.loss_iou: 0.9575, d2.loss_bbox: 0.6350, d2.loss_iou: 0.9356, d3.loss_bbox: 0.6238, d3.loss_iou: 0.9225, d4.loss_bbox: 0.6175, d4.loss_iou: 0.9158, loss: 12.5719, grad_norm: 9.2644 2022-10-27 01:40:00,814 - mmdet - INFO - Epoch [41][1100/1849] lr: 2.000e-05, eta: 1:40:13, time: 0.342, data_time: 0.009, memory: 4055, loss_contrastive: 3.1144, loss_bbox: 0.6189, loss_iou: 0.9114, d0.loss_bbox: 0.6779, d0.loss_iou: 0.9889, d1.loss_bbox: 0.6519, d1.loss_iou: 0.9546, d2.loss_bbox: 0.6369, d2.loss_iou: 0.9331, d3.loss_bbox: 0.6257, d3.loss_iou: 0.9196, d4.loss_bbox: 0.6197, d4.loss_iou: 0.9127, loss: 12.5656, grad_norm: 9.0159 2022-10-27 01:40:18,165 - mmdet - INFO - Epoch [41][1150/1849] lr: 2.000e-05, eta: 1:39:56, time: 0.347, data_time: 0.010, memory: 4055, loss_contrastive: 3.1218, loss_bbox: 0.6180, loss_iou: 0.9163, d0.loss_bbox: 0.6788, d0.loss_iou: 0.9943, d1.loss_bbox: 0.6530, d1.loss_iou: 0.9599, d2.loss_bbox: 0.6373, d2.loss_iou: 0.9389, d3.loss_bbox: 0.6253, d3.loss_iou: 0.9253, d4.loss_bbox: 0.6191, d4.loss_iou: 0.9176, loss: 12.6055, grad_norm: 9.8070 2022-10-27 01:40:35,703 - mmdet - INFO - Epoch [41][1200/1849] lr: 2.000e-05, eta: 1:39:39, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1112, loss_bbox: 0.6149, loss_iou: 0.9119, d0.loss_bbox: 0.6745, d0.loss_iou: 0.9896, d1.loss_bbox: 0.6488, d1.loss_iou: 0.9537, d2.loss_bbox: 0.6331, d2.loss_iou: 0.9333, d3.loss_bbox: 0.6218, d3.loss_iou: 0.9202, d4.loss_bbox: 0.6159, d4.loss_iou: 0.9133, loss: 12.5420, grad_norm: 9.2948 2022-10-27 01:40:53,059 - mmdet - INFO - Epoch [41][1250/1849] lr: 2.000e-05, eta: 1:39:22, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1211, loss_bbox: 0.6154, loss_iou: 0.9126, d0.loss_bbox: 0.6756, d0.loss_iou: 0.9898, d1.loss_bbox: 0.6499, d1.loss_iou: 0.9560, d2.loss_bbox: 0.6333, d2.loss_iou: 0.9335, d3.loss_bbox: 0.6224, d3.loss_iou: 0.9208, d4.loss_bbox: 0.6161, d4.loss_iou: 0.9137, loss: 12.5603, grad_norm: 9.5210 2022-10-27 01:41:10,506 - mmdet - INFO - Epoch [41][1300/1849] lr: 2.000e-05, eta: 1:39:04, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1248, loss_bbox: 0.6164, loss_iou: 0.9129, d0.loss_bbox: 0.6754, d0.loss_iou: 0.9902, d1.loss_bbox: 0.6498, d1.loss_iou: 0.9554, d2.loss_bbox: 0.6341, d2.loss_iou: 0.9344, d3.loss_bbox: 0.6233, d3.loss_iou: 0.9212, d4.loss_bbox: 0.6173, d4.loss_iou: 0.9144, loss: 12.5697, grad_norm: 9.2861 2022-10-27 01:41:27,919 - mmdet - INFO - Epoch [41][1350/1849] lr: 2.000e-05, eta: 1:38:47, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1229, loss_bbox: 0.6168, loss_iou: 0.9098, d0.loss_bbox: 0.6753, d0.loss_iou: 0.9885, d1.loss_bbox: 0.6497, d1.loss_iou: 0.9528, d2.loss_bbox: 0.6347, d2.loss_iou: 0.9320, d3.loss_bbox: 0.6235, d3.loss_iou: 0.9178, d4.loss_bbox: 0.6177, d4.loss_iou: 0.9114, loss: 12.5530, grad_norm: 9.8845 2022-10-27 01:41:45,318 - mmdet - INFO - Epoch [41][1400/1849] lr: 2.000e-05, eta: 1:38:30, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1181, loss_bbox: 0.6162, loss_iou: 0.9093, d0.loss_bbox: 0.6764, d0.loss_iou: 0.9877, d1.loss_bbox: 0.6511, d1.loss_iou: 0.9524, d2.loss_bbox: 0.6347, d2.loss_iou: 0.9322, d3.loss_bbox: 0.6234, d3.loss_iou: 0.9180, d4.loss_bbox: 0.6170, d4.loss_iou: 0.9108, loss: 12.5471, grad_norm: 9.6208 2022-10-27 01:42:02,606 - mmdet - INFO - Epoch [41][1450/1849] lr: 2.000e-05, eta: 1:38:13, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1183, loss_bbox: 0.6157, loss_iou: 0.9117, d0.loss_bbox: 0.6758, d0.loss_iou: 0.9895, d1.loss_bbox: 0.6497, d1.loss_iou: 0.9550, d2.loss_bbox: 0.6333, d2.loss_iou: 0.9342, d3.loss_bbox: 0.6231, d3.loss_iou: 0.9205, d4.loss_bbox: 0.6171, d4.loss_iou: 0.9131, loss: 12.5570, grad_norm: 9.8633 2022-10-27 01:42:20,235 - mmdet - INFO - Epoch [41][1500/1849] lr: 2.000e-05, eta: 1:37:55, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1192, loss_bbox: 0.6145, loss_iou: 0.9139, d0.loss_bbox: 0.6745, d0.loss_iou: 0.9940, d1.loss_bbox: 0.6477, d1.loss_iou: 0.9568, d2.loss_bbox: 0.6318, d2.loss_iou: 0.9359, d3.loss_bbox: 0.6214, d3.loss_iou: 0.9223, d4.loss_bbox: 0.6155, d4.loss_iou: 0.9152, loss: 12.5628, grad_norm: 10.1718 2022-10-27 01:42:37,864 - mmdet - INFO - Epoch [41][1550/1849] lr: 2.000e-05, eta: 1:37:38, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1197, loss_bbox: 0.6200, loss_iou: 0.9112, d0.loss_bbox: 0.6785, d0.loss_iou: 0.9881, d1.loss_bbox: 0.6533, d1.loss_iou: 0.9531, d2.loss_bbox: 0.6377, d2.loss_iou: 0.9332, d3.loss_bbox: 0.6268, d3.loss_iou: 0.9204, d4.loss_bbox: 0.6209, d4.loss_iou: 0.9126, loss: 12.5753, grad_norm: 9.3258 2022-10-27 01:42:55,554 - mmdet - INFO - Epoch [41][1600/1849] lr: 2.000e-05, eta: 1:37:21, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1197, loss_bbox: 0.6162, loss_iou: 0.9110, d0.loss_bbox: 0.6758, d0.loss_iou: 0.9893, d1.loss_bbox: 0.6502, d1.loss_iou: 0.9551, d2.loss_bbox: 0.6339, d2.loss_iou: 0.9331, d3.loss_bbox: 0.6232, d3.loss_iou: 0.9197, d4.loss_bbox: 0.6174, d4.loss_iou: 0.9123, loss: 12.5569, grad_norm: 9.9245 2022-10-27 01:43:13,450 - mmdet - INFO - Epoch [41][1650/1849] lr: 2.000e-05, eta: 1:37:04, time: 0.358, data_time: 0.009, memory: 4055, loss_contrastive: 3.1214, loss_bbox: 0.6165, loss_iou: 0.9115, d0.loss_bbox: 0.6752, d0.loss_iou: 0.9893, d1.loss_bbox: 0.6502, d1.loss_iou: 0.9543, d2.loss_bbox: 0.6345, d2.loss_iou: 0.9337, d3.loss_bbox: 0.6233, d3.loss_iou: 0.9200, d4.loss_bbox: 0.6173, d4.loss_iou: 0.9130, loss: 12.5601, grad_norm: 9.0306 2022-10-27 01:43:30,921 - mmdet - INFO - Epoch [41][1700/1849] lr: 2.000e-05, eta: 1:36:47, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1227, loss_bbox: 0.6163, loss_iou: 0.9104, d0.loss_bbox: 0.6747, d0.loss_iou: 0.9863, d1.loss_bbox: 0.6503, d1.loss_iou: 0.9518, d2.loss_bbox: 0.6345, d2.loss_iou: 0.9316, d3.loss_bbox: 0.6238, d3.loss_iou: 0.9187, d4.loss_bbox: 0.6172, d4.loss_iou: 0.9116, loss: 12.5499, grad_norm: 10.4727 2022-10-27 01:43:48,274 - mmdet - INFO - Epoch [41][1750/1849] lr: 2.000e-05, eta: 1:36:29, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1151, loss_bbox: 0.6170, loss_iou: 0.9141, d0.loss_bbox: 0.6750, d0.loss_iou: 0.9907, d1.loss_bbox: 0.6502, d1.loss_iou: 0.9566, d2.loss_bbox: 0.6350, d2.loss_iou: 0.9354, d3.loss_bbox: 0.6236, d3.loss_iou: 0.9223, d4.loss_bbox: 0.6177, d4.loss_iou: 0.9154, loss: 12.5680, grad_norm: 9.6591 2022-10-27 01:44:05,550 - mmdet - INFO - Epoch [41][1800/1849] lr: 2.000e-05, eta: 1:36:12, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1133, loss_bbox: 0.6147, loss_iou: 0.9115, d0.loss_bbox: 0.6740, d0.loss_iou: 0.9894, d1.loss_bbox: 0.6486, d1.loss_iou: 0.9550, d2.loss_bbox: 0.6327, d2.loss_iou: 0.9334, d3.loss_bbox: 0.6217, d3.loss_iou: 0.9203, d4.loss_bbox: 0.6158, d4.loss_iou: 0.9130, loss: 12.5435, grad_norm: 10.3448 2022-10-27 01:44:22,935 - mmdet - INFO - Saving checkpoint at 41 epochs 2022-10-27 01:44:44,773 - mmdet - INFO - Epoch [42][50/1849] lr: 2.000e-05, eta: 1:35:35, time: 0.412, data_time: 0.070, memory: 4055, loss_contrastive: 3.1198, loss_bbox: 0.6153, loss_iou: 0.9139, d0.loss_bbox: 0.6737, d0.loss_iou: 0.9899, d1.loss_bbox: 0.6494, d1.loss_iou: 0.9564, d2.loss_bbox: 0.6339, d2.loss_iou: 0.9357, d3.loss_bbox: 0.6227, d3.loss_iou: 0.9225, d4.loss_bbox: 0.6162, d4.loss_iou: 0.9154, loss: 12.5648, grad_norm: 8.8719 2022-10-27 01:45:02,342 - mmdet - INFO - Epoch [42][100/1849] lr: 2.000e-05, eta: 1:35:18, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1179, loss_bbox: 0.6156, loss_iou: 0.9147, d0.loss_bbox: 0.6743, d0.loss_iou: 0.9920, d1.loss_bbox: 0.6490, d1.loss_iou: 0.9581, d2.loss_bbox: 0.6336, d2.loss_iou: 0.9369, d3.loss_bbox: 0.6226, d3.loss_iou: 0.9236, d4.loss_bbox: 0.6163, d4.loss_iou: 0.9159, loss: 12.5705, grad_norm: 9.2575 2022-10-27 01:45:20,035 - mmdet - INFO - Epoch [42][150/1849] lr: 2.000e-05, eta: 1:35:00, time: 0.354, data_time: 0.008, memory: 4055, loss_contrastive: 3.1150, loss_bbox: 0.6153, loss_iou: 0.9092, d0.loss_bbox: 0.6739, d0.loss_iou: 0.9864, d1.loss_bbox: 0.6488, d1.loss_iou: 0.9511, d2.loss_bbox: 0.6332, d2.loss_iou: 0.9304, d3.loss_bbox: 0.6223, d3.loss_iou: 0.9172, d4.loss_bbox: 0.6164, d4.loss_iou: 0.9106, loss: 12.5298, grad_norm: 8.7623 2022-10-27 01:45:37,948 - mmdet - INFO - Epoch [42][200/1849] lr: 2.000e-05, eta: 1:34:43, time: 0.358, data_time: 0.009, memory: 4055, loss_contrastive: 3.1193, loss_bbox: 0.6138, loss_iou: 0.9102, d0.loss_bbox: 0.6732, d0.loss_iou: 0.9871, d1.loss_bbox: 0.6484, d1.loss_iou: 0.9526, d2.loss_bbox: 0.6324, d2.loss_iou: 0.9314, d3.loss_bbox: 0.6207, d3.loss_iou: 0.9177, d4.loss_bbox: 0.6149, d4.loss_iou: 0.9109, loss: 12.5327, grad_norm: 9.6350 2022-10-27 01:45:55,659 - mmdet - INFO - Epoch [42][250/1849] lr: 2.000e-05, eta: 1:34:26, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1165, loss_bbox: 0.6159, loss_iou: 0.9100, d0.loss_bbox: 0.6750, d0.loss_iou: 0.9868, d1.loss_bbox: 0.6500, d1.loss_iou: 0.9529, d2.loss_bbox: 0.6341, d2.loss_iou: 0.9324, d3.loss_bbox: 0.6224, d3.loss_iou: 0.9188, d4.loss_bbox: 0.6168, d4.loss_iou: 0.9115, loss: 12.5431, grad_norm: 9.5545 2022-10-27 01:46:13,038 - mmdet - INFO - Epoch [42][300/1849] lr: 2.000e-05, eta: 1:34:09, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1169, loss_bbox: 0.6119, loss_iou: 0.9107, d0.loss_bbox: 0.6726, d0.loss_iou: 0.9888, d1.loss_bbox: 0.6454, d1.loss_iou: 0.9539, d2.loss_bbox: 0.6299, d2.loss_iou: 0.9328, d3.loss_bbox: 0.6190, d3.loss_iou: 0.9195, d4.loss_bbox: 0.6129, d4.loss_iou: 0.9122, loss: 12.5264, grad_norm: 9.6948 2022-10-27 01:46:30,365 - mmdet - INFO - Epoch [42][350/1849] lr: 2.000e-05, eta: 1:33:51, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1139, loss_bbox: 0.6167, loss_iou: 0.9124, d0.loss_bbox: 0.6751, d0.loss_iou: 0.9884, d1.loss_bbox: 0.6495, d1.loss_iou: 0.9545, d2.loss_bbox: 0.6342, d2.loss_iou: 0.9332, d3.loss_bbox: 0.6231, d3.loss_iou: 0.9205, d4.loss_bbox: 0.6175, d4.loss_iou: 0.9136, loss: 12.5528, grad_norm: 9.4544 2022-10-27 01:46:47,723 - mmdet - INFO - Epoch [42][400/1849] lr: 2.000e-05, eta: 1:33:34, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1105, loss_bbox: 0.6152, loss_iou: 0.9078, d0.loss_bbox: 0.6749, d0.loss_iou: 0.9858, d1.loss_bbox: 0.6487, d1.loss_iou: 0.9506, d2.loss_bbox: 0.6330, d2.loss_iou: 0.9294, d3.loss_bbox: 0.6224, d3.loss_iou: 0.9166, d4.loss_bbox: 0.6162, d4.loss_iou: 0.9091, loss: 12.5203, grad_norm: 9.5670 2022-10-27 01:47:05,076 - mmdet - INFO - Epoch [42][450/1849] lr: 2.000e-05, eta: 1:33:17, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1094, loss_bbox: 0.6143, loss_iou: 0.9087, d0.loss_bbox: 0.6732, d0.loss_iou: 0.9859, d1.loss_bbox: 0.6479, d1.loss_iou: 0.9511, d2.loss_bbox: 0.6315, d2.loss_iou: 0.9298, d3.loss_bbox: 0.6211, d3.loss_iou: 0.9173, d4.loss_bbox: 0.6152, d4.loss_iou: 0.9103, loss: 12.5157, grad_norm: 9.3071 2022-10-27 01:47:22,378 - mmdet - INFO - Epoch [42][500/1849] lr: 2.000e-05, eta: 1:33:00, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1135, loss_bbox: 0.6180, loss_iou: 0.9132, d0.loss_bbox: 0.6754, d0.loss_iou: 0.9895, d1.loss_bbox: 0.6512, d1.loss_iou: 0.9550, d2.loss_bbox: 0.6351, d2.loss_iou: 0.9348, d3.loss_bbox: 0.6248, d3.loss_iou: 0.9213, d4.loss_bbox: 0.6187, d4.loss_iou: 0.9146, loss: 12.5652, grad_norm: 10.2672 2022-10-27 01:47:40,094 - mmdet - INFO - Epoch [42][550/1849] lr: 2.000e-05, eta: 1:32:42, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1154, loss_bbox: 0.6155, loss_iou: 0.9095, d0.loss_bbox: 0.6739, d0.loss_iou: 0.9871, d1.loss_bbox: 0.6490, d1.loss_iou: 0.9527, d2.loss_bbox: 0.6333, d2.loss_iou: 0.9313, d3.loss_bbox: 0.6224, d3.loss_iou: 0.9180, d4.loss_bbox: 0.6165, d4.loss_iou: 0.9108, loss: 12.5355, grad_norm: 9.6475 2022-10-27 01:47:57,534 - mmdet - INFO - Epoch [42][600/1849] lr: 2.000e-05, eta: 1:32:25, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1133, loss_bbox: 0.6121, loss_iou: 0.9094, d0.loss_bbox: 0.6711, d0.loss_iou: 0.9867, d1.loss_bbox: 0.6454, d1.loss_iou: 0.9519, d2.loss_bbox: 0.6298, d2.loss_iou: 0.9315, d3.loss_bbox: 0.6191, d3.loss_iou: 0.9175, d4.loss_bbox: 0.6130, d4.loss_iou: 0.9104, loss: 12.5112, grad_norm: 10.0488 2022-10-27 01:48:14,729 - mmdet - INFO - Epoch [42][650/1849] lr: 2.000e-05, eta: 1:32:08, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1201, loss_bbox: 0.6142, loss_iou: 0.9086, d0.loss_bbox: 0.6733, d0.loss_iou: 0.9869, d1.loss_bbox: 0.6475, d1.loss_iou: 0.9521, d2.loss_bbox: 0.6324, d2.loss_iou: 0.9307, d3.loss_bbox: 0.6206, d3.loss_iou: 0.9166, d4.loss_bbox: 0.6151, d4.loss_iou: 0.9101, loss: 12.5283, grad_norm: 9.9719 2022-10-27 01:48:32,150 - mmdet - INFO - Epoch [42][700/1849] lr: 2.000e-05, eta: 1:31:51, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1144, loss_bbox: 0.6133, loss_iou: 0.9100, d0.loss_bbox: 0.6718, d0.loss_iou: 0.9869, d1.loss_bbox: 0.6470, d1.loss_iou: 0.9526, d2.loss_bbox: 0.6312, d2.loss_iou: 0.9316, d3.loss_bbox: 0.6198, d3.loss_iou: 0.9184, d4.loss_bbox: 0.6142, d4.loss_iou: 0.9114, loss: 12.5226, grad_norm: 11.4728 2022-10-27 01:48:49,686 - mmdet - INFO - Epoch [42][750/1849] lr: 2.000e-05, eta: 1:31:33, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1160, loss_bbox: 0.6137, loss_iou: 0.9102, d0.loss_bbox: 0.6726, d0.loss_iou: 0.9875, d1.loss_bbox: 0.6473, d1.loss_iou: 0.9539, d2.loss_bbox: 0.6314, d2.loss_iou: 0.9328, d3.loss_bbox: 0.6206, d3.loss_iou: 0.9191, d4.loss_bbox: 0.6145, d4.loss_iou: 0.9117, loss: 12.5313, grad_norm: 9.5416 2022-10-27 01:49:07,263 - mmdet - INFO - Epoch [42][800/1849] lr: 2.000e-05, eta: 1:31:16, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1093, loss_bbox: 0.6110, loss_iou: 0.9093, d0.loss_bbox: 0.6697, d0.loss_iou: 0.9872, d1.loss_bbox: 0.6441, d1.loss_iou: 0.9517, d2.loss_bbox: 0.6282, d2.loss_iou: 0.9308, d3.loss_bbox: 0.6177, d3.loss_iou: 0.9177, d4.loss_bbox: 0.6118, d4.loss_iou: 0.9107, loss: 12.4993, grad_norm: 9.9845 2022-10-27 01:49:24,827 - mmdet - INFO - Epoch [42][850/1849] lr: 2.000e-05, eta: 1:30:59, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1181, loss_bbox: 0.6148, loss_iou: 0.9075, d0.loss_bbox: 0.6744, d0.loss_iou: 0.9848, d1.loss_bbox: 0.6492, d1.loss_iou: 0.9495, d2.loss_bbox: 0.6325, d2.loss_iou: 0.9288, d3.loss_bbox: 0.6216, d3.loss_iou: 0.9158, d4.loss_bbox: 0.6157, d4.loss_iou: 0.9089, loss: 12.5215, grad_norm: 8.8898 2022-10-27 01:49:42,096 - mmdet - INFO - Epoch [42][900/1849] lr: 2.000e-05, eta: 1:30:42, time: 0.345, data_time: 0.008, memory: 4055, loss_contrastive: 3.1172, loss_bbox: 0.6141, loss_iou: 0.9122, d0.loss_bbox: 0.6722, d0.loss_iou: 0.9899, d1.loss_bbox: 0.6467, d1.loss_iou: 0.9543, d2.loss_bbox: 0.6315, d2.loss_iou: 0.9338, d3.loss_bbox: 0.6209, d3.loss_iou: 0.9210, d4.loss_bbox: 0.6151, d4.loss_iou: 0.9139, loss: 12.5427, grad_norm: 9.8974 2022-10-27 01:49:59,446 - mmdet - INFO - Epoch [42][950/1849] lr: 2.000e-05, eta: 1:30:24, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1212, loss_bbox: 0.6127, loss_iou: 0.9069, d0.loss_bbox: 0.6722, d0.loss_iou: 0.9863, d1.loss_bbox: 0.6457, d1.loss_iou: 0.9501, d2.loss_bbox: 0.6303, d2.loss_iou: 0.9285, d3.loss_bbox: 0.6192, d3.loss_iou: 0.9150, d4.loss_bbox: 0.6135, d4.loss_iou: 0.9081, loss: 12.5097, grad_norm: 11.3962 2022-10-27 01:50:17,149 - mmdet - INFO - Epoch [42][1000/1849] lr: 2.000e-05, eta: 1:30:07, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1151, loss_bbox: 0.6150, loss_iou: 0.9109, d0.loss_bbox: 0.6742, d0.loss_iou: 0.9899, d1.loss_bbox: 0.6486, d1.loss_iou: 0.9545, d2.loss_bbox: 0.6329, d2.loss_iou: 0.9334, d3.loss_bbox: 0.6219, d3.loss_iou: 0.9196, d4.loss_bbox: 0.6159, d4.loss_iou: 0.9124, loss: 12.5443, grad_norm: 10.1455 2022-10-27 01:50:34,397 - mmdet - INFO - Epoch [42][1050/1849] lr: 2.000e-05, eta: 1:29:50, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1201, loss_bbox: 0.6132, loss_iou: 0.9068, d0.loss_bbox: 0.6720, d0.loss_iou: 0.9854, d1.loss_bbox: 0.6476, d1.loss_iou: 0.9502, d2.loss_bbox: 0.6315, d2.loss_iou: 0.9289, d3.loss_bbox: 0.6199, d3.loss_iou: 0.9154, d4.loss_bbox: 0.6139, d4.loss_iou: 0.9079, loss: 12.5127, grad_norm: 10.0521 2022-10-27 01:50:51,929 - mmdet - INFO - Epoch [42][1100/1849] lr: 2.000e-05, eta: 1:29:33, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1211, loss_bbox: 0.6169, loss_iou: 0.9140, d0.loss_bbox: 0.6741, d0.loss_iou: 0.9900, d1.loss_bbox: 0.6483, d1.loss_iou: 0.9555, d2.loss_bbox: 0.6331, d2.loss_iou: 0.9347, d3.loss_bbox: 0.6232, d3.loss_iou: 0.9216, d4.loss_bbox: 0.6179, d4.loss_iou: 0.9151, loss: 12.5655, grad_norm: 9.7952 2022-10-27 01:51:09,363 - mmdet - INFO - Epoch [42][1150/1849] lr: 2.000e-05, eta: 1:29:15, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1204, loss_bbox: 0.6122, loss_iou: 0.9113, d0.loss_bbox: 0.6714, d0.loss_iou: 0.9897, d1.loss_bbox: 0.6460, d1.loss_iou: 0.9551, d2.loss_bbox: 0.6297, d2.loss_iou: 0.9330, d3.loss_bbox: 0.6190, d3.loss_iou: 0.9196, d4.loss_bbox: 0.6130, d4.loss_iou: 0.9128, loss: 12.5332, grad_norm: 9.8581 2022-10-27 01:51:27,065 - mmdet - INFO - Epoch [42][1200/1849] lr: 2.000e-05, eta: 1:28:58, time: 0.354, data_time: 0.008, memory: 4055, loss_contrastive: 3.1149, loss_bbox: 0.6129, loss_iou: 0.9060, d0.loss_bbox: 0.6728, d0.loss_iou: 0.9850, d1.loss_bbox: 0.6466, d1.loss_iou: 0.9494, d2.loss_bbox: 0.6309, d2.loss_iou: 0.9277, d3.loss_bbox: 0.6199, d3.loss_iou: 0.9146, d4.loss_bbox: 0.6139, d4.loss_iou: 0.9072, loss: 12.5018, grad_norm: 9.8619 2022-10-27 01:51:44,572 - mmdet - INFO - Epoch [42][1250/1849] lr: 2.000e-05, eta: 1:28:41, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1143, loss_bbox: 0.6116, loss_iou: 0.9098, d0.loss_bbox: 0.6715, d0.loss_iou: 0.9872, d1.loss_bbox: 0.6460, d1.loss_iou: 0.9530, d2.loss_bbox: 0.6299, d2.loss_iou: 0.9310, d3.loss_bbox: 0.6185, d3.loss_iou: 0.9177, d4.loss_bbox: 0.6127, d4.loss_iou: 0.9108, loss: 12.5141, grad_norm: 10.3617 2022-10-27 01:52:01,778 - mmdet - INFO - Epoch [42][1300/1849] lr: 2.000e-05, eta: 1:28:24, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1075, loss_bbox: 0.6116, loss_iou: 0.9069, d0.loss_bbox: 0.6709, d0.loss_iou: 0.9861, d1.loss_bbox: 0.6454, d1.loss_iou: 0.9504, d2.loss_bbox: 0.6294, d2.loss_iou: 0.9286, d3.loss_bbox: 0.6186, d3.loss_iou: 0.9148, d4.loss_bbox: 0.6128, d4.loss_iou: 0.9081, loss: 12.4913, grad_norm: 9.6255 2022-10-27 01:52:19,270 - mmdet - INFO - Epoch [42][1350/1849] lr: 2.000e-05, eta: 1:28:06, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1134, loss_bbox: 0.6126, loss_iou: 0.9111, d0.loss_bbox: 0.6719, d0.loss_iou: 0.9891, d1.loss_bbox: 0.6459, d1.loss_iou: 0.9538, d2.loss_bbox: 0.6308, d2.loss_iou: 0.9327, d3.loss_bbox: 0.6194, d3.loss_iou: 0.9195, d4.loss_bbox: 0.6136, d4.loss_iou: 0.9127, loss: 12.5264, grad_norm: 9.6366 2022-10-27 01:52:36,397 - mmdet - INFO - Epoch [42][1400/1849] lr: 2.000e-05, eta: 1:27:49, time: 0.343, data_time: 0.008, memory: 4055, loss_contrastive: 3.1203, loss_bbox: 0.6140, loss_iou: 0.9077, d0.loss_bbox: 0.6722, d0.loss_iou: 0.9857, d1.loss_bbox: 0.6477, d1.loss_iou: 0.9505, d2.loss_bbox: 0.6320, d2.loss_iou: 0.9291, d3.loss_bbox: 0.6206, d3.loss_iou: 0.9158, d4.loss_bbox: 0.6147, d4.loss_iou: 0.9090, loss: 12.5191, grad_norm: 9.6694 2022-10-27 01:52:53,555 - mmdet - INFO - Epoch [42][1450/1849] lr: 2.000e-05, eta: 1:27:32, time: 0.343, data_time: 0.009, memory: 4055, loss_contrastive: 3.1102, loss_bbox: 0.6143, loss_iou: 0.9088, d0.loss_bbox: 0.6742, d0.loss_iou: 0.9853, d1.loss_bbox: 0.6477, d1.loss_iou: 0.9510, d2.loss_bbox: 0.6317, d2.loss_iou: 0.9296, d3.loss_bbox: 0.6208, d3.loss_iou: 0.9173, d4.loss_bbox: 0.6150, d4.loss_iou: 0.9101, loss: 12.5160, grad_norm: 9.6002 2022-10-27 01:53:11,257 - mmdet - INFO - Epoch [42][1500/1849] lr: 2.000e-05, eta: 1:27:15, time: 0.354, data_time: 0.008, memory: 4055, loss_contrastive: 3.1153, loss_bbox: 0.6126, loss_iou: 0.9074, d0.loss_bbox: 0.6724, d0.loss_iou: 0.9856, d1.loss_bbox: 0.6463, d1.loss_iou: 0.9501, d2.loss_bbox: 0.6300, d2.loss_iou: 0.9288, d3.loss_bbox: 0.6193, d3.loss_iou: 0.9158, d4.loss_bbox: 0.6135, d4.loss_iou: 0.9090, loss: 12.5061, grad_norm: 9.9442 2022-10-27 01:53:28,563 - mmdet - INFO - Epoch [42][1550/1849] lr: 2.000e-05, eta: 1:26:57, time: 0.346, data_time: 0.008, memory: 4055, loss_contrastive: 3.1140, loss_bbox: 0.6128, loss_iou: 0.9114, d0.loss_bbox: 0.6725, d0.loss_iou: 0.9897, d1.loss_bbox: 0.6463, d1.loss_iou: 0.9548, d2.loss_bbox: 0.6309, d2.loss_iou: 0.9336, d3.loss_bbox: 0.6200, d3.loss_iou: 0.9198, d4.loss_bbox: 0.6137, d4.loss_iou: 0.9130, loss: 12.5324, grad_norm: 17.6480 2022-10-27 01:53:45,937 - mmdet - INFO - Epoch [42][1600/1849] lr: 2.000e-05, eta: 1:26:40, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1167, loss_bbox: 0.6155, loss_iou: 0.9056, d0.loss_bbox: 0.6739, d0.loss_iou: 0.9828, d1.loss_bbox: 0.6485, d1.loss_iou: 0.9476, d2.loss_bbox: 0.6327, d2.loss_iou: 0.9265, d3.loss_bbox: 0.6220, d3.loss_iou: 0.9138, d4.loss_bbox: 0.6164, d4.loss_iou: 0.9068, loss: 12.5087, grad_norm: 8.6835 2022-10-27 01:54:03,264 - mmdet - INFO - Epoch [42][1650/1849] lr: 2.000e-05, eta: 1:26:23, time: 0.346, data_time: 0.008, memory: 4055, loss_contrastive: 3.1123, loss_bbox: 0.6146, loss_iou: 0.9086, d0.loss_bbox: 0.6731, d0.loss_iou: 0.9853, d1.loss_bbox: 0.6491, d1.loss_iou: 0.9518, d2.loss_bbox: 0.6324, d2.loss_iou: 0.9300, d3.loss_bbox: 0.6213, d3.loss_iou: 0.9170, d4.loss_bbox: 0.6152, d4.loss_iou: 0.9101, loss: 12.5208, grad_norm: 8.6862 2022-10-27 01:54:20,852 - mmdet - INFO - Epoch [42][1700/1849] lr: 2.000e-05, eta: 1:26:05, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1128, loss_bbox: 0.6147, loss_iou: 0.9094, d0.loss_bbox: 0.6738, d0.loss_iou: 0.9857, d1.loss_bbox: 0.6485, d1.loss_iou: 0.9513, d2.loss_bbox: 0.6328, d2.loss_iou: 0.9309, d3.loss_bbox: 0.6216, d3.loss_iou: 0.9174, d4.loss_bbox: 0.6155, d4.loss_iou: 0.9110, loss: 12.5254, grad_norm: 9.6404 2022-10-27 01:54:38,314 - mmdet - INFO - Epoch [42][1750/1849] lr: 2.000e-05, eta: 1:25:48, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1132, loss_bbox: 0.6148, loss_iou: 0.9084, d0.loss_bbox: 0.6738, d0.loss_iou: 0.9854, d1.loss_bbox: 0.6489, d1.loss_iou: 0.9500, d2.loss_bbox: 0.6325, d2.loss_iou: 0.9295, d3.loss_bbox: 0.6220, d3.loss_iou: 0.9162, d4.loss_bbox: 0.6158, d4.loss_iou: 0.9094, loss: 12.5199, grad_norm: 9.4429 2022-10-27 01:54:55,560 - mmdet - INFO - Epoch [42][1800/1849] lr: 2.000e-05, eta: 1:25:31, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1167, loss_bbox: 0.6112, loss_iou: 0.9085, d0.loss_bbox: 0.6712, d0.loss_iou: 0.9874, d1.loss_bbox: 0.6455, d1.loss_iou: 0.9521, d2.loss_bbox: 0.6297, d2.loss_iou: 0.9311, d3.loss_bbox: 0.6183, d3.loss_iou: 0.9173, d4.loss_bbox: 0.6120, d4.loss_iou: 0.9099, loss: 12.5111, grad_norm: 9.8365 2022-10-27 01:55:12,998 - mmdet - INFO - Saving checkpoint at 42 epochs 2022-10-27 01:55:34,934 - mmdet - INFO - Epoch [43][50/1849] lr: 2.000e-05, eta: 1:24:54, time: 0.415, data_time: 0.070, memory: 4055, loss_contrastive: 3.1224, loss_bbox: 0.6131, loss_iou: 0.9096, d0.loss_bbox: 0.6723, d0.loss_iou: 0.9867, d1.loss_bbox: 0.6469, d1.loss_iou: 0.9523, d2.loss_bbox: 0.6311, d2.loss_iou: 0.9312, d3.loss_bbox: 0.6197, d3.loss_iou: 0.9178, d4.loss_bbox: 0.6143, d4.loss_iou: 0.9110, loss: 12.5284, grad_norm: 9.7528 2022-10-27 01:55:52,351 - mmdet - INFO - Epoch [43][100/1849] lr: 2.000e-05, eta: 1:24:37, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1177, loss_bbox: 0.6122, loss_iou: 0.9069, d0.loss_bbox: 0.6710, d0.loss_iou: 0.9855, d1.loss_bbox: 0.6464, d1.loss_iou: 0.9513, d2.loss_bbox: 0.6305, d2.loss_iou: 0.9293, d3.loss_bbox: 0.6196, d3.loss_iou: 0.9155, d4.loss_bbox: 0.6130, d4.loss_iou: 0.9082, loss: 12.5070, grad_norm: 9.4947 2022-10-27 01:56:09,652 - mmdet - INFO - Epoch [43][150/1849] lr: 2.000e-05, eta: 1:24:20, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1133, loss_bbox: 0.6120, loss_iou: 0.9104, d0.loss_bbox: 0.6718, d0.loss_iou: 0.9882, d1.loss_bbox: 0.6461, d1.loss_iou: 0.9537, d2.loss_bbox: 0.6302, d2.loss_iou: 0.9324, d3.loss_bbox: 0.6193, d3.loss_iou: 0.9189, d4.loss_bbox: 0.6129, d4.loss_iou: 0.9118, loss: 12.5207, grad_norm: 9.7157 2022-10-27 01:56:26,922 - mmdet - INFO - Epoch [43][200/1849] lr: 2.000e-05, eta: 1:24:02, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1143, loss_bbox: 0.6091, loss_iou: 0.9076, d0.loss_bbox: 0.6674, d0.loss_iou: 0.9851, d1.loss_bbox: 0.6423, d1.loss_iou: 0.9510, d2.loss_bbox: 0.6263, d2.loss_iou: 0.9294, d3.loss_bbox: 0.6160, d3.loss_iou: 0.9159, d4.loss_bbox: 0.6100, d4.loss_iou: 0.9093, loss: 12.4836, grad_norm: 11.2908 2022-10-27 01:56:44,419 - mmdet - INFO - Epoch [43][250/1849] lr: 2.000e-05, eta: 1:23:45, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1153, loss_bbox: 0.6112, loss_iou: 0.9093, d0.loss_bbox: 0.6710, d0.loss_iou: 0.9876, d1.loss_bbox: 0.6453, d1.loss_iou: 0.9527, d2.loss_bbox: 0.6300, d2.loss_iou: 0.9309, d3.loss_bbox: 0.6180, d3.loss_iou: 0.9181, d4.loss_bbox: 0.6121, d4.loss_iou: 0.9106, loss: 12.5121, grad_norm: 9.6887 2022-10-27 01:57:01,752 - mmdet - INFO - Epoch [43][300/1849] lr: 2.000e-05, eta: 1:23:28, time: 0.347, data_time: 0.010, memory: 4055, loss_contrastive: 3.1202, loss_bbox: 0.6136, loss_iou: 0.9115, d0.loss_bbox: 0.6732, d0.loss_iou: 0.9904, d1.loss_bbox: 0.6474, d1.loss_iou: 0.9544, d2.loss_bbox: 0.6318, d2.loss_iou: 0.9330, d3.loss_bbox: 0.6203, d3.loss_iou: 0.9197, d4.loss_bbox: 0.6147, d4.loss_iou: 0.9126, loss: 12.5429, grad_norm: 9.4475 2022-10-27 01:57:19,121 - mmdet - INFO - Epoch [43][350/1849] lr: 2.000e-05, eta: 1:23:11, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1167, loss_bbox: 0.6144, loss_iou: 0.9056, d0.loss_bbox: 0.6737, d0.loss_iou: 0.9840, d1.loss_bbox: 0.6481, d1.loss_iou: 0.9489, d2.loss_bbox: 0.6317, d2.loss_iou: 0.9269, d3.loss_bbox: 0.6209, d3.loss_iou: 0.9136, d4.loss_bbox: 0.6151, d4.loss_iou: 0.9070, loss: 12.5065, grad_norm: 9.9297 2022-10-27 01:57:36,521 - mmdet - INFO - Epoch [43][400/1849] lr: 2.000e-05, eta: 1:22:53, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1150, loss_bbox: 0.6149, loss_iou: 0.9020, d0.loss_bbox: 0.6736, d0.loss_iou: 0.9790, d1.loss_bbox: 0.6491, d1.loss_iou: 0.9453, d2.loss_bbox: 0.6331, d2.loss_iou: 0.9243, d3.loss_bbox: 0.6222, d3.loss_iou: 0.9111, d4.loss_bbox: 0.6158, d4.loss_iou: 0.9035, loss: 12.4889, grad_norm: 9.5058 2022-10-27 01:57:53,778 - mmdet - INFO - Epoch [43][450/1849] lr: 2.000e-05, eta: 1:22:36, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1096, loss_bbox: 0.6145, loss_iou: 0.9080, d0.loss_bbox: 0.6745, d0.loss_iou: 0.9857, d1.loss_bbox: 0.6491, d1.loss_iou: 0.9512, d2.loss_bbox: 0.6319, d2.loss_iou: 0.9297, d3.loss_bbox: 0.6215, d3.loss_iou: 0.9167, d4.loss_bbox: 0.6152, d4.loss_iou: 0.9096, loss: 12.5171, grad_norm: 9.5248 2022-10-27 01:58:11,392 - mmdet - INFO - Epoch [43][500/1849] lr: 2.000e-05, eta: 1:22:19, time: 0.352, data_time: 0.010, memory: 4055, loss_contrastive: 3.1099, loss_bbox: 0.6118, loss_iou: 0.9066, d0.loss_bbox: 0.6714, d0.loss_iou: 0.9843, d1.loss_bbox: 0.6460, d1.loss_iou: 0.9508, d2.loss_bbox: 0.6299, d2.loss_iou: 0.9286, d3.loss_bbox: 0.6186, d3.loss_iou: 0.9150, d4.loss_bbox: 0.6128, d4.loss_iou: 0.9081, loss: 12.4939, grad_norm: 9.2765 2022-10-27 01:58:28,713 - mmdet - INFO - Epoch [43][550/1849] lr: 2.000e-05, eta: 1:22:02, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1134, loss_bbox: 0.6128, loss_iou: 0.9095, d0.loss_bbox: 0.6713, d0.loss_iou: 0.9860, d1.loss_bbox: 0.6464, d1.loss_iou: 0.9520, d2.loss_bbox: 0.6304, d2.loss_iou: 0.9306, d3.loss_bbox: 0.6197, d3.loss_iou: 0.9178, d4.loss_bbox: 0.6137, d4.loss_iou: 0.9104, loss: 12.5139, grad_norm: 9.1972 2022-10-27 01:58:46,116 - mmdet - INFO - Epoch [43][600/1849] lr: 2.000e-05, eta: 1:21:44, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1114, loss_bbox: 0.6121, loss_iou: 0.9078, d0.loss_bbox: 0.6718, d0.loss_iou: 0.9861, d1.loss_bbox: 0.6458, d1.loss_iou: 0.9504, d2.loss_bbox: 0.6301, d2.loss_iou: 0.9296, d3.loss_bbox: 0.6189, d3.loss_iou: 0.9159, d4.loss_bbox: 0.6132, d4.loss_iou: 0.9093, loss: 12.5025, grad_norm: 9.6346 2022-10-27 01:59:03,789 - mmdet - INFO - Epoch [43][650/1849] lr: 2.000e-05, eta: 1:21:27, time: 0.353, data_time: 0.010, memory: 4055, loss_contrastive: 3.1136, loss_bbox: 0.6121, loss_iou: 0.9080, d0.loss_bbox: 0.6705, d0.loss_iou: 0.9864, d1.loss_bbox: 0.6456, d1.loss_iou: 0.9521, d2.loss_bbox: 0.6295, d2.loss_iou: 0.9297, d3.loss_bbox: 0.6188, d3.loss_iou: 0.9165, d4.loss_bbox: 0.6128, d4.loss_iou: 0.9093, loss: 12.5050, grad_norm: 9.9089 2022-10-27 01:59:21,176 - mmdet - INFO - Epoch [43][700/1849] lr: 2.000e-05, eta: 1:21:10, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1164, loss_bbox: 0.6120, loss_iou: 0.9059, d0.loss_bbox: 0.6717, d0.loss_iou: 0.9844, d1.loss_bbox: 0.6455, d1.loss_iou: 0.9487, d2.loss_bbox: 0.6297, d2.loss_iou: 0.9271, d3.loss_bbox: 0.6187, d3.loss_iou: 0.9145, d4.loss_bbox: 0.6131, d4.loss_iou: 0.9075, loss: 12.4950, grad_norm: 9.4326 2022-10-27 01:59:38,466 - mmdet - INFO - Epoch [43][750/1849] lr: 2.000e-05, eta: 1:20:53, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1190, loss_bbox: 0.6112, loss_iou: 0.9047, d0.loss_bbox: 0.6710, d0.loss_iou: 0.9822, d1.loss_bbox: 0.6454, d1.loss_iou: 0.9484, d2.loss_bbox: 0.6293, d2.loss_iou: 0.9270, d3.loss_bbox: 0.6182, d3.loss_iou: 0.9131, d4.loss_bbox: 0.6117, d4.loss_iou: 0.9060, loss: 12.4872, grad_norm: 9.7555 2022-10-27 01:59:55,967 - mmdet - INFO - Epoch [43][800/1849] lr: 2.000e-05, eta: 1:20:35, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1109, loss_bbox: 0.6138, loss_iou: 0.9050, d0.loss_bbox: 0.6729, d0.loss_iou: 0.9839, d1.loss_bbox: 0.6475, d1.loss_iou: 0.9486, d2.loss_bbox: 0.6317, d2.loss_iou: 0.9276, d3.loss_bbox: 0.6207, d3.loss_iou: 0.9143, d4.loss_bbox: 0.6145, d4.loss_iou: 0.9067, loss: 12.4981, grad_norm: 10.3242 2022-10-27 02:00:13,434 - mmdet - INFO - Epoch [43][850/1849] lr: 2.000e-05, eta: 1:20:18, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1148, loss_bbox: 0.6142, loss_iou: 0.9072, d0.loss_bbox: 0.6747, d0.loss_iou: 0.9865, d1.loss_bbox: 0.6479, d1.loss_iou: 0.9512, d2.loss_bbox: 0.6324, d2.loss_iou: 0.9292, d3.loss_bbox: 0.6211, d3.loss_iou: 0.9156, d4.loss_bbox: 0.6152, d4.loss_iou: 0.9088, loss: 12.5187, grad_norm: 9.6573 2022-10-27 02:00:30,749 - mmdet - INFO - Epoch [43][900/1849] lr: 2.000e-05, eta: 1:20:01, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1134, loss_bbox: 0.6124, loss_iou: 0.9051, d0.loss_bbox: 0.6707, d0.loss_iou: 0.9830, d1.loss_bbox: 0.6453, d1.loss_iou: 0.9478, d2.loss_bbox: 0.6299, d2.loss_iou: 0.9266, d3.loss_bbox: 0.6190, d3.loss_iou: 0.9135, d4.loss_bbox: 0.6132, d4.loss_iou: 0.9066, loss: 12.4865, grad_norm: 9.5805 2022-10-27 02:00:48,143 - mmdet - INFO - Epoch [43][950/1849] lr: 2.000e-05, eta: 1:19:43, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1128, loss_bbox: 0.6124, loss_iou: 0.9064, d0.loss_bbox: 0.6719, d0.loss_iou: 0.9831, d1.loss_bbox: 0.6451, d1.loss_iou: 0.9481, d2.loss_bbox: 0.6299, d2.loss_iou: 0.9280, d3.loss_bbox: 0.6191, d3.loss_iou: 0.9146, d4.loss_bbox: 0.6130, d4.loss_iou: 0.9078, loss: 12.4923, grad_norm: 10.7713 2022-10-27 02:01:05,670 - mmdet - INFO - Epoch [43][1000/1849] lr: 2.000e-05, eta: 1:19:26, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1112, loss_bbox: 0.6129, loss_iou: 0.9070, d0.loss_bbox: 0.6720, d0.loss_iou: 0.9819, d1.loss_bbox: 0.6466, d1.loss_iou: 0.9482, d2.loss_bbox: 0.6308, d2.loss_iou: 0.9277, d3.loss_bbox: 0.6201, d3.loss_iou: 0.9148, d4.loss_bbox: 0.6140, d4.loss_iou: 0.9082, loss: 12.4957, grad_norm: 9.8331 2022-10-27 02:01:23,099 - mmdet - INFO - Epoch [43][1050/1849] lr: 2.000e-05, eta: 1:19:09, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1259, loss_bbox: 0.6123, loss_iou: 0.9063, d0.loss_bbox: 0.6706, d0.loss_iou: 0.9836, d1.loss_bbox: 0.6456, d1.loss_iou: 0.9494, d2.loss_bbox: 0.6302, d2.loss_iou: 0.9282, d3.loss_bbox: 0.6193, d3.loss_iou: 0.9146, d4.loss_bbox: 0.6132, d4.loss_iou: 0.9078, loss: 12.5071, grad_norm: 9.8874 2022-10-27 02:01:40,582 - mmdet - INFO - Epoch [43][1100/1849] lr: 2.000e-05, eta: 1:18:52, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1150, loss_bbox: 0.6151, loss_iou: 0.9087, d0.loss_bbox: 0.6733, d0.loss_iou: 0.9854, d1.loss_bbox: 0.6489, d1.loss_iou: 0.9508, d2.loss_bbox: 0.6324, d2.loss_iou: 0.9296, d3.loss_bbox: 0.6218, d3.loss_iou: 0.9170, d4.loss_bbox: 0.6156, d4.loss_iou: 0.9100, loss: 12.5237, grad_norm: 9.8844 2022-10-27 02:01:57,966 - mmdet - INFO - Epoch [43][1150/1849] lr: 2.000e-05, eta: 1:18:34, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1163, loss_bbox: 0.6121, loss_iou: 0.9075, d0.loss_bbox: 0.6698, d0.loss_iou: 0.9842, d1.loss_bbox: 0.6451, d1.loss_iou: 0.9495, d2.loss_bbox: 0.6298, d2.loss_iou: 0.9284, d3.loss_bbox: 0.6189, d3.loss_iou: 0.9157, d4.loss_bbox: 0.6130, d4.loss_iou: 0.9089, loss: 12.4991, grad_norm: 9.8295 2022-10-27 02:02:15,440 - mmdet - INFO - Epoch [43][1200/1849] lr: 2.000e-05, eta: 1:18:17, time: 0.350, data_time: 0.010, memory: 4055, loss_contrastive: 3.1098, loss_bbox: 0.6119, loss_iou: 0.9038, d0.loss_bbox: 0.6698, d0.loss_iou: 0.9819, d1.loss_bbox: 0.6456, d1.loss_iou: 0.9476, d2.loss_bbox: 0.6302, d2.loss_iou: 0.9261, d3.loss_bbox: 0.6190, d3.loss_iou: 0.9126, d4.loss_bbox: 0.6127, d4.loss_iou: 0.9052, loss: 12.4763, grad_norm: 9.9343 2022-10-27 02:02:32,983 - mmdet - INFO - Epoch [43][1250/1849] lr: 2.000e-05, eta: 1:18:00, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1171, loss_bbox: 0.6097, loss_iou: 0.9056, d0.loss_bbox: 0.6687, d0.loss_iou: 0.9844, d1.loss_bbox: 0.6431, d1.loss_iou: 0.9488, d2.loss_bbox: 0.6271, d2.loss_iou: 0.9269, d3.loss_bbox: 0.6161, d3.loss_iou: 0.9140, d4.loss_bbox: 0.6102, d4.loss_iou: 0.9069, loss: 12.4785, grad_norm: 9.6127 2022-10-27 02:02:50,523 - mmdet - INFO - Epoch [43][1300/1849] lr: 2.000e-05, eta: 1:17:43, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1080, loss_bbox: 0.6089, loss_iou: 0.9073, d0.loss_bbox: 0.6699, d0.loss_iou: 0.9868, d1.loss_bbox: 0.6440, d1.loss_iou: 0.9509, d2.loss_bbox: 0.6279, d2.loss_iou: 0.9301, d3.loss_bbox: 0.6164, d3.loss_iou: 0.9155, d4.loss_bbox: 0.6101, d4.loss_iou: 0.9086, loss: 12.4844, grad_norm: 10.1409 2022-10-27 02:03:07,868 - mmdet - INFO - Epoch [43][1350/1849] lr: 2.000e-05, eta: 1:17:26, time: 0.347, data_time: 0.010, memory: 4055, loss_contrastive: 3.1139, loss_bbox: 0.6108, loss_iou: 0.9083, d0.loss_bbox: 0.6705, d0.loss_iou: 0.9866, d1.loss_bbox: 0.6450, d1.loss_iou: 0.9509, d2.loss_bbox: 0.6288, d2.loss_iou: 0.9301, d3.loss_bbox: 0.6176, d3.loss_iou: 0.9166, d4.loss_bbox: 0.6117, d4.loss_iou: 0.9096, loss: 12.5005, grad_norm: 10.9198 2022-10-27 02:03:25,251 - mmdet - INFO - Epoch [43][1400/1849] lr: 2.000e-05, eta: 1:17:08, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1159, loss_bbox: 0.6112, loss_iou: 0.9099, d0.loss_bbox: 0.6698, d0.loss_iou: 0.9866, d1.loss_bbox: 0.6446, d1.loss_iou: 0.9516, d2.loss_bbox: 0.6291, d2.loss_iou: 0.9313, d3.loss_bbox: 0.6177, d3.loss_iou: 0.9180, d4.loss_bbox: 0.6121, d4.loss_iou: 0.9111, loss: 12.5089, grad_norm: 9.5798 2022-10-27 02:03:42,642 - mmdet - INFO - Epoch [43][1450/1849] lr: 2.000e-05, eta: 1:16:51, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1193, loss_bbox: 0.6133, loss_iou: 0.9080, d0.loss_bbox: 0.6728, d0.loss_iou: 0.9864, d1.loss_bbox: 0.6466, d1.loss_iou: 0.9509, d2.loss_bbox: 0.6314, d2.loss_iou: 0.9300, d3.loss_bbox: 0.6207, d3.loss_iou: 0.9159, d4.loss_bbox: 0.6143, d4.loss_iou: 0.9089, loss: 12.5186, grad_norm: 8.8192 2022-10-27 02:03:59,931 - mmdet - INFO - Epoch [43][1500/1849] lr: 2.000e-05, eta: 1:16:34, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1081, loss_bbox: 0.6110, loss_iou: 0.9080, d0.loss_bbox: 0.6713, d0.loss_iou: 0.9855, d1.loss_bbox: 0.6457, d1.loss_iou: 0.9516, d2.loss_bbox: 0.6291, d2.loss_iou: 0.9303, d3.loss_bbox: 0.6178, d3.loss_iou: 0.9166, d4.loss_bbox: 0.6122, d4.loss_iou: 0.9095, loss: 12.4966, grad_norm: 9.7514 2022-10-27 02:04:17,376 - mmdet - INFO - Epoch [43][1550/1849] lr: 2.000e-05, eta: 1:16:16, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1163, loss_bbox: 0.6101, loss_iou: 0.9057, d0.loss_bbox: 0.6694, d0.loss_iou: 0.9835, d1.loss_bbox: 0.6449, d1.loss_iou: 0.9485, d2.loss_bbox: 0.6289, d2.loss_iou: 0.9268, d3.loss_bbox: 0.6173, d3.loss_iou: 0.9144, d4.loss_bbox: 0.6111, d4.loss_iou: 0.9070, loss: 12.4839, grad_norm: 9.7581 2022-10-27 02:04:34,999 - mmdet - INFO - Epoch [43][1600/1849] lr: 2.000e-05, eta: 1:15:59, time: 0.352, data_time: 0.010, memory: 4055, loss_contrastive: 3.1149, loss_bbox: 0.6126, loss_iou: 0.9071, d0.loss_bbox: 0.6705, d0.loss_iou: 0.9841, d1.loss_bbox: 0.6464, d1.loss_iou: 0.9506, d2.loss_bbox: 0.6304, d2.loss_iou: 0.9291, d3.loss_bbox: 0.6191, d3.loss_iou: 0.9151, d4.loss_bbox: 0.6135, d4.loss_iou: 0.9084, loss: 12.5019, grad_norm: 9.0741 2022-10-27 02:04:52,419 - mmdet - INFO - Epoch [43][1650/1849] lr: 2.000e-05, eta: 1:15:42, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1134, loss_bbox: 0.6111, loss_iou: 0.9070, d0.loss_bbox: 0.6714, d0.loss_iou: 0.9841, d1.loss_bbox: 0.6452, d1.loss_iou: 0.9505, d2.loss_bbox: 0.6290, d2.loss_iou: 0.9286, d3.loss_bbox: 0.6183, d3.loss_iou: 0.9150, d4.loss_bbox: 0.6123, d4.loss_iou: 0.9081, loss: 12.4940, grad_norm: 9.5526 2022-10-27 02:05:09,619 - mmdet - INFO - Epoch [43][1700/1849] lr: 2.000e-05, eta: 1:15:25, time: 0.344, data_time: 0.010, memory: 4055, loss_contrastive: 3.1193, loss_bbox: 0.6140, loss_iou: 0.9101, d0.loss_bbox: 0.6717, d0.loss_iou: 0.9863, d1.loss_bbox: 0.6468, d1.loss_iou: 0.9523, d2.loss_bbox: 0.6308, d2.loss_iou: 0.9314, d3.loss_bbox: 0.6203, d3.loss_iou: 0.9181, d4.loss_bbox: 0.6147, d4.loss_iou: 0.9112, loss: 12.5270, grad_norm: 9.7463 2022-10-27 02:05:27,091 - mmdet - INFO - Epoch [43][1750/1849] lr: 2.000e-05, eta: 1:15:07, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1206, loss_bbox: 0.6072, loss_iou: 0.9036, d0.loss_bbox: 0.6672, d0.loss_iou: 0.9823, d1.loss_bbox: 0.6416, d1.loss_iou: 0.9470, d2.loss_bbox: 0.6259, d2.loss_iou: 0.9257, d3.loss_bbox: 0.6144, d3.loss_iou: 0.9122, d4.loss_bbox: 0.6081, d4.loss_iou: 0.9048, loss: 12.4607, grad_norm: 9.9520 2022-10-27 02:05:44,681 - mmdet - INFO - Epoch [43][1800/1849] lr: 2.000e-05, eta: 1:14:50, time: 0.352, data_time: 0.010, memory: 4055, loss_contrastive: 3.1154, loss_bbox: 0.6103, loss_iou: 0.9065, d0.loss_bbox: 0.6694, d0.loss_iou: 0.9857, d1.loss_bbox: 0.6433, d1.loss_iou: 0.9493, d2.loss_bbox: 0.6274, d2.loss_iou: 0.9278, d3.loss_bbox: 0.6168, d3.loss_iou: 0.9150, d4.loss_bbox: 0.6110, d4.loss_iou: 0.9080, loss: 12.4860, grad_norm: 9.1680 2022-10-27 02:06:01,940 - mmdet - INFO - Saving checkpoint at 43 epochs 2022-10-27 02:06:23,892 - mmdet - INFO - Epoch [44][50/1849] lr: 2.000e-05, eta: 1:14:14, time: 0.415, data_time: 0.069, memory: 4055, loss_contrastive: 3.1174, loss_bbox: 0.6109, loss_iou: 0.9049, d0.loss_bbox: 0.6711, d0.loss_iou: 0.9827, d1.loss_bbox: 0.6452, d1.loss_iou: 0.9473, d2.loss_bbox: 0.6290, d2.loss_iou: 0.9268, d3.loss_bbox: 0.6180, d3.loss_iou: 0.9136, d4.loss_bbox: 0.6119, d4.loss_iou: 0.9064, loss: 12.4852, grad_norm: 9.3083 2022-10-27 02:06:41,226 - mmdet - INFO - Epoch [44][100/1849] lr: 2.000e-05, eta: 1:13:57, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1076, loss_bbox: 0.6109, loss_iou: 0.9086, d0.loss_bbox: 0.6703, d0.loss_iou: 0.9867, d1.loss_bbox: 0.6447, d1.loss_iou: 0.9506, d2.loss_bbox: 0.6291, d2.loss_iou: 0.9301, d3.loss_bbox: 0.6178, d3.loss_iou: 0.9168, d4.loss_bbox: 0.6118, d4.loss_iou: 0.9098, loss: 12.4949, grad_norm: 9.7288 2022-10-27 02:06:58,597 - mmdet - INFO - Epoch [44][150/1849] lr: 2.000e-05, eta: 1:13:39, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1183, loss_bbox: 0.6094, loss_iou: 0.9059, d0.loss_bbox: 0.6684, d0.loss_iou: 0.9843, d1.loss_bbox: 0.6430, d1.loss_iou: 0.9486, d2.loss_bbox: 0.6268, d2.loss_iou: 0.9275, d3.loss_bbox: 0.6165, d3.loss_iou: 0.9142, d4.loss_bbox: 0.6103, d4.loss_iou: 0.9074, loss: 12.4804, grad_norm: 9.7256 2022-10-27 02:07:16,239 - mmdet - INFO - Epoch [44][200/1849] lr: 2.000e-05, eta: 1:13:22, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1137, loss_bbox: 0.6126, loss_iou: 0.9049, d0.loss_bbox: 0.6708, d0.loss_iou: 0.9814, d1.loss_bbox: 0.6454, d1.loss_iou: 0.9464, d2.loss_bbox: 0.6300, d2.loss_iou: 0.9258, d3.loss_bbox: 0.6192, d3.loss_iou: 0.9133, d4.loss_bbox: 0.6134, d4.loss_iou: 0.9064, loss: 12.4833, grad_norm: 9.5092 2022-10-27 02:07:33,829 - mmdet - INFO - Epoch [44][250/1849] lr: 2.000e-05, eta: 1:13:05, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1112, loss_bbox: 0.6137, loss_iou: 0.9063, d0.loss_bbox: 0.6728, d0.loss_iou: 0.9845, d1.loss_bbox: 0.6481, d1.loss_iou: 0.9489, d2.loss_bbox: 0.6314, d2.loss_iou: 0.9271, d3.loss_bbox: 0.6202, d3.loss_iou: 0.9139, d4.loss_bbox: 0.6146, d4.loss_iou: 0.9075, loss: 12.5001, grad_norm: 9.0539 2022-10-27 02:07:51,311 - mmdet - INFO - Epoch [44][300/1849] lr: 2.000e-05, eta: 1:12:48, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1102, loss_bbox: 0.6124, loss_iou: 0.9077, d0.loss_bbox: 0.6720, d0.loss_iou: 0.9870, d1.loss_bbox: 0.6468, d1.loss_iou: 0.9508, d2.loss_bbox: 0.6301, d2.loss_iou: 0.9295, d3.loss_bbox: 0.6188, d3.loss_iou: 0.9167, d4.loss_bbox: 0.6132, d4.loss_iou: 0.9091, loss: 12.5044, grad_norm: 9.8011 2022-10-27 02:08:08,732 - mmdet - INFO - Epoch [44][350/1849] lr: 2.000e-05, eta: 1:12:30, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1150, loss_bbox: 0.6128, loss_iou: 0.9056, d0.loss_bbox: 0.6710, d0.loss_iou: 0.9835, d1.loss_bbox: 0.6465, d1.loss_iou: 0.9478, d2.loss_bbox: 0.6307, d2.loss_iou: 0.9268, d3.loss_bbox: 0.6191, d3.loss_iou: 0.9138, d4.loss_bbox: 0.6138, d4.loss_iou: 0.9068, loss: 12.4933, grad_norm: 9.5275 2022-10-27 02:08:26,102 - mmdet - INFO - Epoch [44][400/1849] lr: 2.000e-05, eta: 1:12:13, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1142, loss_bbox: 0.6130, loss_iou: 0.9077, d0.loss_bbox: 0.6706, d0.loss_iou: 0.9850, d1.loss_bbox: 0.6459, d1.loss_iou: 0.9507, d2.loss_bbox: 0.6303, d2.loss_iou: 0.9289, d3.loss_bbox: 0.6194, d3.loss_iou: 0.9158, d4.loss_bbox: 0.6139, d4.loss_iou: 0.9091, loss: 12.5045, grad_norm: 11.2246 2022-10-27 02:08:43,561 - mmdet - INFO - Epoch [44][450/1849] lr: 2.000e-05, eta: 1:11:56, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1165, loss_bbox: 0.6107, loss_iou: 0.9082, d0.loss_bbox: 0.6696, d0.loss_iou: 0.9863, d1.loss_bbox: 0.6448, d1.loss_iou: 0.9513, d2.loss_bbox: 0.6288, d2.loss_iou: 0.9302, d3.loss_bbox: 0.6177, d3.loss_iou: 0.9166, d4.loss_bbox: 0.6116, d4.loss_iou: 0.9098, loss: 12.5020, grad_norm: 9.5945 2022-10-27 02:09:00,991 - mmdet - INFO - Epoch [44][500/1849] lr: 2.000e-05, eta: 1:11:39, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1145, loss_bbox: 0.6113, loss_iou: 0.9064, d0.loss_bbox: 0.6694, d0.loss_iou: 0.9830, d1.loss_bbox: 0.6441, d1.loss_iou: 0.9485, d2.loss_bbox: 0.6296, d2.loss_iou: 0.9282, d3.loss_bbox: 0.6181, d3.loss_iou: 0.9154, d4.loss_bbox: 0.6123, d4.loss_iou: 0.9080, loss: 12.4887, grad_norm: 10.3953 2022-10-27 02:09:18,450 - mmdet - INFO - Epoch [44][550/1849] lr: 2.000e-05, eta: 1:11:21, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1122, loss_bbox: 0.6107, loss_iou: 0.9033, d0.loss_bbox: 0.6704, d0.loss_iou: 0.9820, d1.loss_bbox: 0.6449, d1.loss_iou: 0.9473, d2.loss_bbox: 0.6286, d2.loss_iou: 0.9252, d3.loss_bbox: 0.6175, d3.loss_iou: 0.9119, d4.loss_bbox: 0.6113, d4.loss_iou: 0.9046, loss: 12.4699, grad_norm: 9.7698 2022-10-27 02:09:35,869 - mmdet - INFO - Epoch [44][600/1849] lr: 2.000e-05, eta: 1:11:04, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1161, loss_bbox: 0.6114, loss_iou: 0.9046, d0.loss_bbox: 0.6707, d0.loss_iou: 0.9821, d1.loss_bbox: 0.6459, d1.loss_iou: 0.9467, d2.loss_bbox: 0.6294, d2.loss_iou: 0.9255, d3.loss_bbox: 0.6184, d3.loss_iou: 0.9130, d4.loss_bbox: 0.6124, d4.loss_iou: 0.9061, loss: 12.4824, grad_norm: 9.4429 2022-10-27 02:09:53,284 - mmdet - INFO - Epoch [44][650/1849] lr: 2.000e-05, eta: 1:10:47, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1141, loss_bbox: 0.6071, loss_iou: 0.9060, d0.loss_bbox: 0.6662, d0.loss_iou: 0.9835, d1.loss_bbox: 0.6408, d1.loss_iou: 0.9488, d2.loss_bbox: 0.6252, d2.loss_iou: 0.9280, d3.loss_bbox: 0.6140, d3.loss_iou: 0.9143, d4.loss_bbox: 0.6079, d4.loss_iou: 0.9073, loss: 12.4632, grad_norm: 9.5743 2022-10-27 02:10:10,646 - mmdet - INFO - Epoch [44][700/1849] lr: 2.000e-05, eta: 1:10:30, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1141, loss_bbox: 0.6123, loss_iou: 0.9063, d0.loss_bbox: 0.6700, d0.loss_iou: 0.9844, d1.loss_bbox: 0.6452, d1.loss_iou: 0.9486, d2.loss_bbox: 0.6295, d2.loss_iou: 0.9273, d3.loss_bbox: 0.6191, d3.loss_iou: 0.9142, d4.loss_bbox: 0.6134, d4.loss_iou: 0.9075, loss: 12.4917, grad_norm: 9.3966 2022-10-27 02:10:28,152 - mmdet - INFO - Epoch [44][750/1849] lr: 2.000e-05, eta: 1:10:12, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1133, loss_bbox: 0.6107, loss_iou: 0.9076, d0.loss_bbox: 0.6686, d0.loss_iou: 0.9838, d1.loss_bbox: 0.6437, d1.loss_iou: 0.9497, d2.loss_bbox: 0.6283, d2.loss_iou: 0.9292, d3.loss_bbox: 0.6177, d3.loss_iou: 0.9163, d4.loss_bbox: 0.6117, d4.loss_iou: 0.9089, loss: 12.4897, grad_norm: 9.7076 2022-10-27 02:10:45,543 - mmdet - INFO - Epoch [44][800/1849] lr: 2.000e-05, eta: 1:09:55, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1141, loss_bbox: 0.6116, loss_iou: 0.9088, d0.loss_bbox: 0.6699, d0.loss_iou: 0.9862, d1.loss_bbox: 0.6447, d1.loss_iou: 0.9511, d2.loss_bbox: 0.6296, d2.loss_iou: 0.9298, d3.loss_bbox: 0.6190, d3.loss_iou: 0.9172, d4.loss_bbox: 0.6127, d4.loss_iou: 0.9102, loss: 12.5050, grad_norm: 9.6270 2022-10-27 02:11:02,933 - mmdet - INFO - Epoch [44][850/1849] lr: 2.000e-05, eta: 1:09:38, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1167, loss_bbox: 0.6130, loss_iou: 0.9032, d0.loss_bbox: 0.6709, d0.loss_iou: 0.9803, d1.loss_bbox: 0.6464, d1.loss_iou: 0.9456, d2.loss_bbox: 0.6301, d2.loss_iou: 0.9250, d3.loss_bbox: 0.6194, d3.loss_iou: 0.9119, d4.loss_bbox: 0.6138, d4.loss_iou: 0.9045, loss: 12.4808, grad_norm: 10.2575 2022-10-27 02:11:20,306 - mmdet - INFO - Epoch [44][900/1849] lr: 2.000e-05, eta: 1:09:21, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1091, loss_bbox: 0.6089, loss_iou: 0.9057, d0.loss_bbox: 0.6682, d0.loss_iou: 0.9831, d1.loss_bbox: 0.6437, d1.loss_iou: 0.9490, d2.loss_bbox: 0.6279, d2.loss_iou: 0.9276, d3.loss_bbox: 0.6162, d3.loss_iou: 0.9140, d4.loss_bbox: 0.6099, d4.loss_iou: 0.9070, loss: 12.4702, grad_norm: 10.0937 2022-10-27 02:11:37,779 - mmdet - INFO - Epoch [44][950/1849] lr: 2.000e-05, eta: 1:09:03, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1204, loss_bbox: 0.6124, loss_iou: 0.9083, d0.loss_bbox: 0.6705, d0.loss_iou: 0.9853, d1.loss_bbox: 0.6458, d1.loss_iou: 0.9505, d2.loss_bbox: 0.6300, d2.loss_iou: 0.9295, d3.loss_bbox: 0.6192, d3.loss_iou: 0.9163, d4.loss_bbox: 0.6132, d4.loss_iou: 0.9096, loss: 12.5110, grad_norm: 9.9729 2022-10-27 02:11:55,158 - mmdet - INFO - Epoch [44][1000/1849] lr: 2.000e-05, eta: 1:08:46, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1127, loss_bbox: 0.6097, loss_iou: 0.9050, d0.loss_bbox: 0.6690, d0.loss_iou: 0.9843, d1.loss_bbox: 0.6428, d1.loss_iou: 0.9484, d2.loss_bbox: 0.6268, d2.loss_iou: 0.9269, d3.loss_bbox: 0.6165, d3.loss_iou: 0.9138, d4.loss_bbox: 0.6108, d4.loss_iou: 0.9065, loss: 12.4734, grad_norm: 9.7680 2022-10-27 02:12:12,460 - mmdet - INFO - Epoch [44][1050/1849] lr: 2.000e-05, eta: 1:08:29, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1188, loss_bbox: 0.6120, loss_iou: 0.9068, d0.loss_bbox: 0.6718, d0.loss_iou: 0.9857, d1.loss_bbox: 0.6452, d1.loss_iou: 0.9500, d2.loss_bbox: 0.6293, d2.loss_iou: 0.9283, d3.loss_bbox: 0.6188, d3.loss_iou: 0.9149, d4.loss_bbox: 0.6129, d4.loss_iou: 0.9082, loss: 12.5027, grad_norm: 9.9813 2022-10-27 02:12:30,245 - mmdet - INFO - Epoch [44][1100/1849] lr: 2.000e-05, eta: 1:08:12, time: 0.356, data_time: 0.009, memory: 4055, loss_contrastive: 3.1171, loss_bbox: 0.6110, loss_iou: 0.9080, d0.loss_bbox: 0.6699, d0.loss_iou: 0.9853, d1.loss_bbox: 0.6442, d1.loss_iou: 0.9502, d2.loss_bbox: 0.6282, d2.loss_iou: 0.9296, d3.loss_bbox: 0.6179, d3.loss_iou: 0.9165, d4.loss_bbox: 0.6119, d4.loss_iou: 0.9091, loss: 12.4990, grad_norm: 10.6199 2022-10-27 02:12:47,394 - mmdet - INFO - Epoch [44][1150/1849] lr: 2.000e-05, eta: 1:07:54, time: 0.343, data_time: 0.009, memory: 4055, loss_contrastive: 3.1110, loss_bbox: 0.6085, loss_iou: 0.9056, d0.loss_bbox: 0.6682, d0.loss_iou: 0.9833, d1.loss_bbox: 0.6430, d1.loss_iou: 0.9480, d2.loss_bbox: 0.6268, d2.loss_iou: 0.9272, d3.loss_bbox: 0.6160, d3.loss_iou: 0.9138, d4.loss_bbox: 0.6096, d4.loss_iou: 0.9068, loss: 12.4676, grad_norm: 10.6121 2022-10-27 02:13:04,801 - mmdet - INFO - Epoch [44][1200/1849] lr: 2.000e-05, eta: 1:07:37, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1115, loss_bbox: 0.6097, loss_iou: 0.9060, d0.loss_bbox: 0.6679, d0.loss_iou: 0.9840, d1.loss_bbox: 0.6430, d1.loss_iou: 0.9482, d2.loss_bbox: 0.6269, d2.loss_iou: 0.9272, d3.loss_bbox: 0.6162, d3.loss_iou: 0.9136, d4.loss_bbox: 0.6107, d4.loss_iou: 0.9072, loss: 12.4721, grad_norm: 9.9894 2022-10-27 02:13:22,277 - mmdet - INFO - Epoch [44][1250/1849] lr: 2.000e-05, eta: 1:07:20, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1111, loss_bbox: 0.6078, loss_iou: 0.9029, d0.loss_bbox: 0.6669, d0.loss_iou: 0.9822, d1.loss_bbox: 0.6412, d1.loss_iou: 0.9449, d2.loss_bbox: 0.6255, d2.loss_iou: 0.9248, d3.loss_bbox: 0.6146, d3.loss_iou: 0.9114, d4.loss_bbox: 0.6087, d4.loss_iou: 0.9042, loss: 12.4460, grad_norm: 9.5324 2022-10-27 02:13:39,848 - mmdet - INFO - Epoch [44][1300/1849] lr: 2.000e-05, eta: 1:07:03, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1113, loss_bbox: 0.6105, loss_iou: 0.9071, d0.loss_bbox: 0.6710, d0.loss_iou: 0.9854, d1.loss_bbox: 0.6445, d1.loss_iou: 0.9497, d2.loss_bbox: 0.6281, d2.loss_iou: 0.9284, d3.loss_bbox: 0.6176, d3.loss_iou: 0.9158, d4.loss_bbox: 0.6116, d4.loss_iou: 0.9083, loss: 12.4891, grad_norm: 10.4695 2022-10-27 02:13:57,423 - mmdet - INFO - Epoch [44][1350/1849] lr: 2.000e-05, eta: 1:06:45, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1053, loss_bbox: 0.6102, loss_iou: 0.9032, d0.loss_bbox: 0.6694, d0.loss_iou: 0.9823, d1.loss_bbox: 0.6433, d1.loss_iou: 0.9471, d2.loss_bbox: 0.6277, d2.loss_iou: 0.9254, d3.loss_bbox: 0.6170, d3.loss_iou: 0.9119, d4.loss_bbox: 0.6112, d4.loss_iou: 0.9046, loss: 12.4585, grad_norm: 10.1539 2022-10-27 02:14:15,020 - mmdet - INFO - Epoch [44][1400/1849] lr: 2.000e-05, eta: 1:06:28, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1071, loss_bbox: 0.6081, loss_iou: 0.9028, d0.loss_bbox: 0.6683, d0.loss_iou: 0.9829, d1.loss_bbox: 0.6421, d1.loss_iou: 0.9468, d2.loss_bbox: 0.6266, d2.loss_iou: 0.9248, d3.loss_bbox: 0.6152, d3.loss_iou: 0.9112, d4.loss_bbox: 0.6089, d4.loss_iou: 0.9040, loss: 12.4488, grad_norm: 10.1086 2022-10-27 02:14:32,590 - mmdet - INFO - Epoch [44][1450/1849] lr: 2.000e-05, eta: 1:06:11, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1122, loss_bbox: 0.6110, loss_iou: 0.9057, d0.loss_bbox: 0.6700, d0.loss_iou: 0.9841, d1.loss_bbox: 0.6451, d1.loss_iou: 0.9489, d2.loss_bbox: 0.6292, d2.loss_iou: 0.9270, d3.loss_bbox: 0.6184, d3.loss_iou: 0.9141, d4.loss_bbox: 0.6120, d4.loss_iou: 0.9071, loss: 12.4849, grad_norm: 9.7225 2022-10-27 02:14:50,076 - mmdet - INFO - Epoch [44][1500/1849] lr: 2.000e-05, eta: 1:05:54, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1112, loss_bbox: 0.6104, loss_iou: 0.9031, d0.loss_bbox: 0.6698, d0.loss_iou: 0.9824, d1.loss_bbox: 0.6454, d1.loss_iou: 0.9476, d2.loss_bbox: 0.6288, d2.loss_iou: 0.9253, d3.loss_bbox: 0.6179, d3.loss_iou: 0.9117, d4.loss_bbox: 0.6114, d4.loss_iou: 0.9045, loss: 12.4695, grad_norm: 9.4107 2022-10-27 02:15:07,707 - mmdet - INFO - Epoch [44][1550/1849] lr: 2.000e-05, eta: 1:05:36, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1174, loss_bbox: 0.6100, loss_iou: 0.9026, d0.loss_bbox: 0.6696, d0.loss_iou: 0.9815, d1.loss_bbox: 0.6443, d1.loss_iou: 0.9461, d2.loss_bbox: 0.6280, d2.loss_iou: 0.9245, d3.loss_bbox: 0.6168, d3.loss_iou: 0.9110, d4.loss_bbox: 0.6109, d4.loss_iou: 0.9041, loss: 12.4669, grad_norm: 9.6287 2022-10-27 02:15:25,283 - mmdet - INFO - Epoch [44][1600/1849] lr: 2.000e-05, eta: 1:05:19, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1147, loss_bbox: 0.6097, loss_iou: 0.9095, d0.loss_bbox: 0.6686, d0.loss_iou: 0.9850, d1.loss_bbox: 0.6435, d1.loss_iou: 0.9508, d2.loss_bbox: 0.6275, d2.loss_iou: 0.9304, d3.loss_bbox: 0.6161, d3.loss_iou: 0.9174, d4.loss_bbox: 0.6105, d4.loss_iou: 0.9108, loss: 12.4946, grad_norm: 9.6348 2022-10-27 02:15:42,780 - mmdet - INFO - Epoch [44][1650/1849] lr: 2.000e-05, eta: 1:05:02, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1167, loss_bbox: 0.6105, loss_iou: 0.9029, d0.loss_bbox: 0.6692, d0.loss_iou: 0.9783, d1.loss_bbox: 0.6441, d1.loss_iou: 0.9446, d2.loss_bbox: 0.6278, d2.loss_iou: 0.9238, d3.loss_bbox: 0.6165, d3.loss_iou: 0.9108, d4.loss_bbox: 0.6113, d4.loss_iou: 0.9042, loss: 12.4607, grad_norm: 9.6720 2022-10-27 02:16:00,153 - mmdet - INFO - Epoch [44][1700/1849] lr: 2.000e-05, eta: 1:04:45, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1143, loss_bbox: 0.6101, loss_iou: 0.9057, d0.loss_bbox: 0.6696, d0.loss_iou: 0.9843, d1.loss_bbox: 0.6441, d1.loss_iou: 0.9487, d2.loss_bbox: 0.6283, d2.loss_iou: 0.9276, d3.loss_bbox: 0.6170, d3.loss_iou: 0.9142, d4.loss_bbox: 0.6110, d4.loss_iou: 0.9071, loss: 12.4821, grad_norm: 10.9447 2022-10-27 02:16:17,720 - mmdet - INFO - Epoch [44][1750/1849] lr: 2.000e-05, eta: 1:04:27, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1149, loss_bbox: 0.6110, loss_iou: 0.9049, d0.loss_bbox: 0.6713, d0.loss_iou: 0.9831, d1.loss_bbox: 0.6454, d1.loss_iou: 0.9483, d2.loss_bbox: 0.6289, d2.loss_iou: 0.9268, d3.loss_bbox: 0.6175, d3.loss_iou: 0.9131, d4.loss_bbox: 0.6120, d4.loss_iou: 0.9060, loss: 12.4833, grad_norm: 9.6885 2022-10-27 02:16:35,009 - mmdet - INFO - Epoch [44][1800/1849] lr: 2.000e-05, eta: 1:04:10, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1102, loss_bbox: 0.6125, loss_iou: 0.9064, d0.loss_bbox: 0.6716, d0.loss_iou: 0.9832, d1.loss_bbox: 0.6461, d1.loss_iou: 0.9489, d2.loss_bbox: 0.6310, d2.loss_iou: 0.9283, d3.loss_bbox: 0.6198, d3.loss_iou: 0.9150, d4.loss_bbox: 0.6135, d4.loss_iou: 0.9077, loss: 12.4942, grad_norm: 8.9382 2022-10-27 02:16:52,242 - mmdet - INFO - Saving checkpoint at 44 epochs 2022-10-27 02:17:14,230 - mmdet - INFO - Epoch [45][50/1849] lr: 2.000e-05, eta: 1:03:34, time: 0.415, data_time: 0.071, memory: 4055, loss_contrastive: 3.1195, loss_bbox: 0.6093, loss_iou: 0.9026, d0.loss_bbox: 0.6691, d0.loss_iou: 0.9797, d1.loss_bbox: 0.6430, d1.loss_iou: 0.9453, d2.loss_bbox: 0.6270, d2.loss_iou: 0.9244, d3.loss_bbox: 0.6158, d3.loss_iou: 0.9112, d4.loss_bbox: 0.6102, d4.loss_iou: 0.9042, loss: 12.4615, grad_norm: 10.7639 2022-10-27 02:17:31,707 - mmdet - INFO - Epoch [45][100/1849] lr: 2.000e-05, eta: 1:03:17, time: 0.350, data_time: 0.010, memory: 4055, loss_contrastive: 3.1068, loss_bbox: 0.6091, loss_iou: 0.9066, d0.loss_bbox: 0.6695, d0.loss_iou: 0.9854, d1.loss_bbox: 0.6443, d1.loss_iou: 0.9502, d2.loss_bbox: 0.6273, d2.loss_iou: 0.9286, d3.loss_bbox: 0.6161, d3.loss_iou: 0.9156, d4.loss_bbox: 0.6100, d4.loss_iou: 0.9083, loss: 12.4777, grad_norm: 9.6843 2022-10-27 02:17:49,115 - mmdet - INFO - Epoch [45][150/1849] lr: 2.000e-05, eta: 1:03:00, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1175, loss_bbox: 0.6128, loss_iou: 0.9047, d0.loss_bbox: 0.6710, d0.loss_iou: 0.9816, d1.loss_bbox: 0.6460, d1.loss_iou: 0.9470, d2.loss_bbox: 0.6302, d2.loss_iou: 0.9260, d3.loss_bbox: 0.6196, d3.loss_iou: 0.9133, d4.loss_bbox: 0.6136, d4.loss_iou: 0.9064, loss: 12.4896, grad_norm: 10.0378 2022-10-27 02:18:06,383 - mmdet - INFO - Epoch [45][200/1849] lr: 2.000e-05, eta: 1:02:42, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1117, loss_bbox: 0.6083, loss_iou: 0.9057, d0.loss_bbox: 0.6691, d0.loss_iou: 0.9854, d1.loss_bbox: 0.6424, d1.loss_iou: 0.9488, d2.loss_bbox: 0.6265, d2.loss_iou: 0.9278, d3.loss_bbox: 0.6152, d3.loss_iou: 0.9136, d4.loss_bbox: 0.6093, d4.loss_iou: 0.9069, loss: 12.4706, grad_norm: 10.8507 2022-10-27 02:18:23,990 - mmdet - INFO - Epoch [45][250/1849] lr: 2.000e-05, eta: 1:02:25, time: 0.352, data_time: 0.010, memory: 4055, loss_contrastive: 3.1149, loss_bbox: 0.6104, loss_iou: 0.9040, d0.loss_bbox: 0.6698, d0.loss_iou: 0.9819, d1.loss_bbox: 0.6455, d1.loss_iou: 0.9480, d2.loss_bbox: 0.6291, d2.loss_iou: 0.9263, d3.loss_bbox: 0.6175, d3.loss_iou: 0.9130, d4.loss_bbox: 0.6111, d4.loss_iou: 0.9056, loss: 12.4770, grad_norm: 10.2947 2022-10-27 02:18:41,428 - mmdet - INFO - Epoch [45][300/1849] lr: 2.000e-05, eta: 1:02:08, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1127, loss_bbox: 0.6071, loss_iou: 0.9004, d0.loss_bbox: 0.6680, d0.loss_iou: 0.9792, d1.loss_bbox: 0.6419, d1.loss_iou: 0.9442, d2.loss_bbox: 0.6260, d2.loss_iou: 0.9217, d3.loss_bbox: 0.6138, d3.loss_iou: 0.9086, d4.loss_bbox: 0.6081, d4.loss_iou: 0.9017, loss: 12.4334, grad_norm: 9.8795 2022-10-27 02:18:58,988 - mmdet - INFO - Epoch [45][350/1849] lr: 2.000e-05, eta: 1:01:51, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1142, loss_bbox: 0.6072, loss_iou: 0.9025, d0.loss_bbox: 0.6666, d0.loss_iou: 0.9806, d1.loss_bbox: 0.6410, d1.loss_iou: 0.9454, d2.loss_bbox: 0.6244, d2.loss_iou: 0.9243, d3.loss_bbox: 0.6135, d3.loss_iou: 0.9106, d4.loss_bbox: 0.6082, d4.loss_iou: 0.9037, loss: 12.4420, grad_norm: 9.5659 2022-10-27 02:19:16,236 - mmdet - INFO - Epoch [45][400/1849] lr: 2.000e-05, eta: 1:01:33, time: 0.345, data_time: 0.010, memory: 4055, loss_contrastive: 3.1159, loss_bbox: 0.6100, loss_iou: 0.9060, d0.loss_bbox: 0.6698, d0.loss_iou: 0.9831, d1.loss_bbox: 0.6435, d1.loss_iou: 0.9484, d2.loss_bbox: 0.6269, d2.loss_iou: 0.9270, d3.loss_bbox: 0.6161, d3.loss_iou: 0.9144, d4.loss_bbox: 0.6111, d4.loss_iou: 0.9074, loss: 12.4796, grad_norm: 8.9664 2022-10-27 02:19:33,701 - mmdet - INFO - Epoch [45][450/1849] lr: 2.000e-05, eta: 1:01:16, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1179, loss_bbox: 0.6099, loss_iou: 0.9037, d0.loss_bbox: 0.6688, d0.loss_iou: 0.9821, d1.loss_bbox: 0.6431, d1.loss_iou: 0.9469, d2.loss_bbox: 0.6277, d2.loss_iou: 0.9259, d3.loss_bbox: 0.6164, d3.loss_iou: 0.9124, d4.loss_bbox: 0.6108, d4.loss_iou: 0.9051, loss: 12.4707, grad_norm: 10.0663 2022-10-27 02:19:51,321 - mmdet - INFO - Epoch [45][500/1849] lr: 2.000e-05, eta: 1:00:59, time: 0.352, data_time: 0.010, memory: 4055, loss_contrastive: 3.1166, loss_bbox: 0.6108, loss_iou: 0.9041, d0.loss_bbox: 0.6704, d0.loss_iou: 0.9817, d1.loss_bbox: 0.6442, d1.loss_iou: 0.9469, d2.loss_bbox: 0.6292, d2.loss_iou: 0.9258, d3.loss_bbox: 0.6179, d3.loss_iou: 0.9124, d4.loss_bbox: 0.6118, d4.loss_iou: 0.9052, loss: 12.4770, grad_norm: 10.0676 2022-10-27 02:20:08,637 - mmdet - INFO - Epoch [45][550/1849] lr: 2.000e-05, eta: 1:00:42, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1142, loss_bbox: 0.6110, loss_iou: 0.9045, d0.loss_bbox: 0.6703, d0.loss_iou: 0.9814, d1.loss_bbox: 0.6451, d1.loss_iou: 0.9478, d2.loss_bbox: 0.6292, d2.loss_iou: 0.9262, d3.loss_bbox: 0.6176, d3.loss_iou: 0.9129, d4.loss_bbox: 0.6118, d4.loss_iou: 0.9060, loss: 12.4781, grad_norm: 10.4473 2022-10-27 02:20:26,111 - mmdet - INFO - Epoch [45][600/1849] lr: 2.000e-05, eta: 1:00:24, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1145, loss_bbox: 0.6107, loss_iou: 0.9049, d0.loss_bbox: 0.6701, d0.loss_iou: 0.9825, d1.loss_bbox: 0.6437, d1.loss_iou: 0.9475, d2.loss_bbox: 0.6279, d2.loss_iou: 0.9263, d3.loss_bbox: 0.6171, d3.loss_iou: 0.9133, d4.loss_bbox: 0.6117, d4.loss_iou: 0.9061, loss: 12.4762, grad_norm: 9.9454 2022-10-27 02:20:43,393 - mmdet - INFO - Epoch [45][650/1849] lr: 2.000e-05, eta: 1:00:07, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1152, loss_bbox: 0.6094, loss_iou: 0.9078, d0.loss_bbox: 0.6704, d0.loss_iou: 0.9854, d1.loss_bbox: 0.6442, d1.loss_iou: 0.9505, d2.loss_bbox: 0.6283, d2.loss_iou: 0.9298, d3.loss_bbox: 0.6171, d3.loss_iou: 0.9166, d4.loss_bbox: 0.6104, d4.loss_iou: 0.9091, loss: 12.4942, grad_norm: 10.3397 2022-10-27 02:21:00,558 - mmdet - INFO - Epoch [45][700/1849] lr: 2.000e-05, eta: 0:59:50, time: 0.343, data_time: 0.010, memory: 4055, loss_contrastive: 3.1129, loss_bbox: 0.6136, loss_iou: 0.9061, d0.loss_bbox: 0.6730, d0.loss_iou: 0.9833, d1.loss_bbox: 0.6476, d1.loss_iou: 0.9484, d2.loss_bbox: 0.6312, d2.loss_iou: 0.9277, d3.loss_bbox: 0.6200, d3.loss_iou: 0.9138, d4.loss_bbox: 0.6146, d4.loss_iou: 0.9071, loss: 12.4992, grad_norm: 9.9563 2022-10-27 02:21:17,704 - mmdet - INFO - Epoch [45][750/1849] lr: 2.000e-05, eta: 0:59:32, time: 0.343, data_time: 0.010, memory: 4055, loss_contrastive: 3.1163, loss_bbox: 0.6109, loss_iou: 0.9053, d0.loss_bbox: 0.6702, d0.loss_iou: 0.9827, d1.loss_bbox: 0.6446, d1.loss_iou: 0.9474, d2.loss_bbox: 0.6285, d2.loss_iou: 0.9272, d3.loss_bbox: 0.6184, d3.loss_iou: 0.9142, d4.loss_bbox: 0.6120, d4.loss_iou: 0.9066, loss: 12.4843, grad_norm: 10.1205 2022-10-27 02:21:34,917 - mmdet - INFO - Epoch [45][800/1849] lr: 2.000e-05, eta: 0:59:15, time: 0.344, data_time: 0.010, memory: 4055, loss_contrastive: 3.1162, loss_bbox: 0.6084, loss_iou: 0.9061, d0.loss_bbox: 0.6688, d0.loss_iou: 0.9855, d1.loss_bbox: 0.6423, d1.loss_iou: 0.9491, d2.loss_bbox: 0.6266, d2.loss_iou: 0.9279, d3.loss_bbox: 0.6154, d3.loss_iou: 0.9143, d4.loss_bbox: 0.6096, d4.loss_iou: 0.9075, loss: 12.4777, grad_norm: 11.8637 2022-10-27 02:21:52,303 - mmdet - INFO - Epoch [45][850/1849] lr: 2.000e-05, eta: 0:58:58, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1106, loss_bbox: 0.6086, loss_iou: 0.9014, d0.loss_bbox: 0.6673, d0.loss_iou: 0.9803, d1.loss_bbox: 0.6418, d1.loss_iou: 0.9444, d2.loss_bbox: 0.6262, d2.loss_iou: 0.9233, d3.loss_bbox: 0.6150, d3.loss_iou: 0.9102, d4.loss_bbox: 0.6096, d4.loss_iou: 0.9027, loss: 12.4415, grad_norm: 9.9969 2022-10-27 02:22:09,637 - mmdet - INFO - Epoch [45][900/1849] lr: 2.000e-05, eta: 0:58:41, time: 0.347, data_time: 0.010, memory: 4055, loss_contrastive: 3.1194, loss_bbox: 0.6094, loss_iou: 0.9066, d0.loss_bbox: 0.6683, d0.loss_iou: 0.9849, d1.loss_bbox: 0.6432, d1.loss_iou: 0.9494, d2.loss_bbox: 0.6270, d2.loss_iou: 0.9283, d3.loss_bbox: 0.6159, d3.loss_iou: 0.9146, d4.loss_bbox: 0.6100, d4.loss_iou: 0.9078, loss: 12.4847, grad_norm: 9.8734 2022-10-27 02:22:27,166 - mmdet - INFO - Epoch [45][950/1849] lr: 2.000e-05, eta: 0:58:23, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1060, loss_bbox: 0.6114, loss_iou: 0.9062, d0.loss_bbox: 0.6707, d0.loss_iou: 0.9847, d1.loss_bbox: 0.6451, d1.loss_iou: 0.9500, d2.loss_bbox: 0.6292, d2.loss_iou: 0.9280, d3.loss_bbox: 0.6184, d3.loss_iou: 0.9147, d4.loss_bbox: 0.6125, d4.loss_iou: 0.9077, loss: 12.4846, grad_norm: 9.5861 2022-10-27 02:22:44,576 - mmdet - INFO - Epoch [45][1000/1849] lr: 2.000e-05, eta: 0:58:06, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1072, loss_bbox: 0.6100, loss_iou: 0.9033, d0.loss_bbox: 0.6676, d0.loss_iou: 0.9796, d1.loss_bbox: 0.6430, d1.loss_iou: 0.9462, d2.loss_bbox: 0.6274, d2.loss_iou: 0.9246, d3.loss_bbox: 0.6166, d3.loss_iou: 0.9114, d4.loss_bbox: 0.6109, d4.loss_iou: 0.9044, loss: 12.4523, grad_norm: 9.8728 2022-10-27 02:23:02,044 - mmdet - INFO - Epoch [45][1050/1849] lr: 2.000e-05, eta: 0:57:49, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1223, loss_bbox: 0.6101, loss_iou: 0.9023, d0.loss_bbox: 0.6693, d0.loss_iou: 0.9800, d1.loss_bbox: 0.6439, d1.loss_iou: 0.9458, d2.loss_bbox: 0.6283, d2.loss_iou: 0.9247, d3.loss_bbox: 0.6169, d3.loss_iou: 0.9107, d4.loss_bbox: 0.6109, d4.loss_iou: 0.9037, loss: 12.4687, grad_norm: 9.7885 2022-10-27 02:23:19,690 - mmdet - INFO - Epoch [45][1100/1849] lr: 2.000e-05, eta: 0:57:32, time: 0.353, data_time: 0.010, memory: 4055, loss_contrastive: 3.1186, loss_bbox: 0.6098, loss_iou: 0.9016, d0.loss_bbox: 0.6690, d0.loss_iou: 0.9797, d1.loss_bbox: 0.6434, d1.loss_iou: 0.9442, d2.loss_bbox: 0.6276, d2.loss_iou: 0.9235, d3.loss_bbox: 0.6163, d3.loss_iou: 0.9100, d4.loss_bbox: 0.6107, d4.loss_iou: 0.9031, loss: 12.4574, grad_norm: 9.8697 2022-10-27 02:23:37,258 - mmdet - INFO - Epoch [45][1150/1849] lr: 2.000e-05, eta: 0:57:14, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1091, loss_bbox: 0.6082, loss_iou: 0.9053, d0.loss_bbox: 0.6674, d0.loss_iou: 0.9830, d1.loss_bbox: 0.6431, d1.loss_iou: 0.9488, d2.loss_bbox: 0.6271, d2.loss_iou: 0.9273, d3.loss_bbox: 0.6156, d3.loss_iou: 0.9135, d4.loss_bbox: 0.6091, d4.loss_iou: 0.9066, loss: 12.4639, grad_norm: 10.8340 2022-10-27 02:23:54,895 - mmdet - INFO - Epoch [45][1200/1849] lr: 2.000e-05, eta: 0:56:57, time: 0.353, data_time: 0.010, memory: 4055, loss_contrastive: 3.1194, loss_bbox: 0.6095, loss_iou: 0.9029, d0.loss_bbox: 0.6679, d0.loss_iou: 0.9806, d1.loss_bbox: 0.6433, d1.loss_iou: 0.9453, d2.loss_bbox: 0.6271, d2.loss_iou: 0.9240, d3.loss_bbox: 0.6164, d3.loss_iou: 0.9110, d4.loss_bbox: 0.6104, d4.loss_iou: 0.9043, loss: 12.4622, grad_norm: 10.0181 2022-10-27 02:24:12,319 - mmdet - INFO - Epoch [45][1250/1849] lr: 2.000e-05, eta: 0:56:40, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1114, loss_bbox: 0.6081, loss_iou: 0.9045, d0.loss_bbox: 0.6687, d0.loss_iou: 0.9826, d1.loss_bbox: 0.6426, d1.loss_iou: 0.9472, d2.loss_bbox: 0.6261, d2.loss_iou: 0.9264, d3.loss_bbox: 0.6150, d3.loss_iou: 0.9132, d4.loss_bbox: 0.6090, d4.loss_iou: 0.9060, loss: 12.4609, grad_norm: 11.2371 2022-10-27 02:24:29,865 - mmdet - INFO - Epoch [45][1300/1849] lr: 2.000e-05, eta: 0:56:23, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1150, loss_bbox: 0.6082, loss_iou: 0.9040, d0.loss_bbox: 0.6676, d0.loss_iou: 0.9816, d1.loss_bbox: 0.6426, d1.loss_iou: 0.9461, d2.loss_bbox: 0.6268, d2.loss_iou: 0.9249, d3.loss_bbox: 0.6156, d3.loss_iou: 0.9125, d4.loss_bbox: 0.6089, d4.loss_iou: 0.9054, loss: 12.4594, grad_norm: 10.3384 2022-10-27 02:24:47,274 - mmdet - INFO - Epoch [45][1350/1849] lr: 2.000e-05, eta: 0:56:05, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1125, loss_bbox: 0.6101, loss_iou: 0.9003, d0.loss_bbox: 0.6704, d0.loss_iou: 0.9793, d1.loss_bbox: 0.6444, d1.loss_iou: 0.9441, d2.loss_bbox: 0.6284, d2.loss_iou: 0.9232, d3.loss_bbox: 0.6172, d3.loss_iou: 0.9085, d4.loss_bbox: 0.6112, d4.loss_iou: 0.9015, loss: 12.4509, grad_norm: 10.0503 2022-10-27 02:25:04,803 - mmdet - INFO - Epoch [45][1400/1849] lr: 2.000e-05, eta: 0:55:48, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1106, loss_bbox: 0.6113, loss_iou: 0.9055, d0.loss_bbox: 0.6697, d0.loss_iou: 0.9809, d1.loss_bbox: 0.6444, d1.loss_iou: 0.9466, d2.loss_bbox: 0.6286, d2.loss_iou: 0.9260, d3.loss_bbox: 0.6178, d3.loss_iou: 0.9130, d4.loss_bbox: 0.6123, d4.loss_iou: 0.9069, loss: 12.4737, grad_norm: 10.1078 2022-10-27 02:25:22,463 - mmdet - INFO - Epoch [45][1450/1849] lr: 2.000e-05, eta: 0:55:31, time: 0.353, data_time: 0.010, memory: 4055, loss_contrastive: 3.1124, loss_bbox: 0.6099, loss_iou: 0.9044, d0.loss_bbox: 0.6705, d0.loss_iou: 0.9818, d1.loss_bbox: 0.6445, d1.loss_iou: 0.9480, d2.loss_bbox: 0.6284, d2.loss_iou: 0.9262, d3.loss_bbox: 0.6172, d3.loss_iou: 0.9132, d4.loss_bbox: 0.6111, d4.loss_iou: 0.9058, loss: 12.4735, grad_norm: 9.7608 2022-10-27 02:25:39,970 - mmdet - INFO - Epoch [45][1500/1849] lr: 2.000e-05, eta: 0:55:14, time: 0.350, data_time: 0.010, memory: 4055, loss_contrastive: 3.1070, loss_bbox: 0.6076, loss_iou: 0.9028, d0.loss_bbox: 0.6672, d0.loss_iou: 0.9801, d1.loss_bbox: 0.6422, d1.loss_iou: 0.9470, d2.loss_bbox: 0.6267, d2.loss_iou: 0.9248, d3.loss_bbox: 0.6149, d3.loss_iou: 0.9115, d4.loss_bbox: 0.6087, d4.loss_iou: 0.9042, loss: 12.4447, grad_norm: 9.9084 2022-10-27 02:25:57,506 - mmdet - INFO - Epoch [45][1550/1849] lr: 2.000e-05, eta: 0:54:57, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1142, loss_bbox: 0.6097, loss_iou: 0.9052, d0.loss_bbox: 0.6687, d0.loss_iou: 0.9826, d1.loss_bbox: 0.6434, d1.loss_iou: 0.9482, d2.loss_bbox: 0.6274, d2.loss_iou: 0.9264, d3.loss_bbox: 0.6167, d3.loss_iou: 0.9134, d4.loss_bbox: 0.6107, d4.loss_iou: 0.9065, loss: 12.4728, grad_norm: 9.4884 2022-10-27 02:26:14,885 - mmdet - INFO - Epoch [45][1600/1849] lr: 2.000e-05, eta: 0:54:39, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1187, loss_bbox: 0.6116, loss_iou: 0.9036, d0.loss_bbox: 0.6702, d0.loss_iou: 0.9787, d1.loss_bbox: 0.6453, d1.loss_iou: 0.9450, d2.loss_bbox: 0.6301, d2.loss_iou: 0.9244, d3.loss_bbox: 0.6188, d3.loss_iou: 0.9116, d4.loss_bbox: 0.6127, d4.loss_iou: 0.9048, loss: 12.4755, grad_norm: 9.3142 2022-10-27 02:26:32,468 - mmdet - INFO - Epoch [45][1650/1849] lr: 2.000e-05, eta: 0:54:22, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1158, loss_bbox: 0.6112, loss_iou: 0.9065, d0.loss_bbox: 0.6696, d0.loss_iou: 0.9834, d1.loss_bbox: 0.6441, d1.loss_iou: 0.9493, d2.loss_bbox: 0.6285, d2.loss_iou: 0.9282, d3.loss_bbox: 0.6181, d3.loss_iou: 0.9148, d4.loss_bbox: 0.6119, d4.loss_iou: 0.9077, loss: 12.4892, grad_norm: 9.8231 2022-10-27 02:26:49,759 - mmdet - INFO - Epoch [45][1700/1849] lr: 2.000e-05, eta: 0:54:05, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1158, loss_bbox: 0.6081, loss_iou: 0.9057, d0.loss_bbox: 0.6674, d0.loss_iou: 0.9839, d1.loss_bbox: 0.6424, d1.loss_iou: 0.9489, d2.loss_bbox: 0.6258, d2.loss_iou: 0.9272, d3.loss_bbox: 0.6152, d3.loss_iou: 0.9140, d4.loss_bbox: 0.6089, d4.loss_iou: 0.9069, loss: 12.4699, grad_norm: 9.8231 2022-10-27 02:27:07,036 - mmdet - INFO - Epoch [45][1750/1849] lr: 2.000e-05, eta: 0:53:47, time: 0.345, data_time: 0.010, memory: 4055, loss_contrastive: 3.1125, loss_bbox: 0.6096, loss_iou: 0.9048, d0.loss_bbox: 0.6690, d0.loss_iou: 0.9823, d1.loss_bbox: 0.6434, d1.loss_iou: 0.9479, d2.loss_bbox: 0.6274, d2.loss_iou: 0.9268, d3.loss_bbox: 0.6164, d3.loss_iou: 0.9133, d4.loss_bbox: 0.6105, d4.loss_iou: 0.9064, loss: 12.4704, grad_norm: 11.2991 2022-10-27 02:27:24,565 - mmdet - INFO - Epoch [45][1800/1849] lr: 2.000e-05, eta: 0:53:30, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1096, loss_bbox: 0.6088, loss_iou: 0.9067, d0.loss_bbox: 0.6694, d0.loss_iou: 0.9848, d1.loss_bbox: 0.6426, d1.loss_iou: 0.9490, d2.loss_bbox: 0.6270, d2.loss_iou: 0.9281, d3.loss_bbox: 0.6159, d3.loss_iou: 0.9148, d4.loss_bbox: 0.6100, d4.loss_iou: 0.9079, loss: 12.4746, grad_norm: 9.8982 2022-10-27 02:27:41,821 - mmdet - INFO - Saving checkpoint at 45 epochs 2022-10-27 02:28:03,811 - mmdet - INFO - Epoch [46][50/1849] lr: 2.000e-05, eta: 0:52:55, time: 0.416, data_time: 0.070, memory: 4055, loss_contrastive: 3.1126, loss_bbox: 0.6095, loss_iou: 0.9057, d0.loss_bbox: 0.6682, d0.loss_iou: 0.9835, d1.loss_bbox: 0.6432, d1.loss_iou: 0.9484, d2.loss_bbox: 0.6273, d2.loss_iou: 0.9266, d3.loss_bbox: 0.6162, d3.loss_iou: 0.9137, d4.loss_bbox: 0.6106, d4.loss_iou: 0.9068, loss: 12.4724, grad_norm: 10.7029 2022-10-27 02:28:21,370 - mmdet - INFO - Epoch [46][100/1849] lr: 2.000e-05, eta: 0:52:37, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1122, loss_bbox: 0.6123, loss_iou: 0.9036, d0.loss_bbox: 0.6720, d0.loss_iou: 0.9804, d1.loss_bbox: 0.6464, d1.loss_iou: 0.9458, d2.loss_bbox: 0.6296, d2.loss_iou: 0.9246, d3.loss_bbox: 0.6189, d3.loss_iou: 0.9116, d4.loss_bbox: 0.6128, d4.loss_iou: 0.9052, loss: 12.4755, grad_norm: 10.7817 2022-10-27 02:28:38,972 - mmdet - INFO - Epoch [46][150/1849] lr: 2.000e-05, eta: 0:52:20, time: 0.352, data_time: 0.010, memory: 4055, loss_contrastive: 3.1142, loss_bbox: 0.6110, loss_iou: 0.9048, d0.loss_bbox: 0.6687, d0.loss_iou: 0.9824, d1.loss_bbox: 0.6447, d1.loss_iou: 0.9481, d2.loss_bbox: 0.6284, d2.loss_iou: 0.9265, d3.loss_bbox: 0.6172, d3.loss_iou: 0.9132, d4.loss_bbox: 0.6117, d4.loss_iou: 0.9062, loss: 12.4771, grad_norm: 10.5322 2022-10-27 02:28:56,322 - mmdet - INFO - Epoch [46][200/1849] lr: 2.000e-05, eta: 0:52:03, time: 0.347, data_time: 0.010, memory: 4055, loss_contrastive: 3.1160, loss_bbox: 0.6071, loss_iou: 0.9043, d0.loss_bbox: 0.6657, d0.loss_iou: 0.9814, d1.loss_bbox: 0.6414, d1.loss_iou: 0.9466, d2.loss_bbox: 0.6251, d2.loss_iou: 0.9256, d3.loss_bbox: 0.6141, d3.loss_iou: 0.9125, d4.loss_bbox: 0.6080, d4.loss_iou: 0.9055, loss: 12.4536, grad_norm: 9.6655 2022-10-27 02:29:13,771 - mmdet - INFO - Epoch [46][250/1849] lr: 2.000e-05, eta: 0:51:46, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1161, loss_bbox: 0.6122, loss_iou: 0.9043, d0.loss_bbox: 0.6698, d0.loss_iou: 0.9819, d1.loss_bbox: 0.6448, d1.loss_iou: 0.9468, d2.loss_bbox: 0.6292, d2.loss_iou: 0.9256, d3.loss_bbox: 0.6190, d3.loss_iou: 0.9125, d4.loss_bbox: 0.6131, d4.loss_iou: 0.9055, loss: 12.4808, grad_norm: 9.5461 2022-10-27 02:29:31,190 - mmdet - INFO - Epoch [46][300/1849] lr: 2.000e-05, eta: 0:51:28, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1187, loss_bbox: 0.6095, loss_iou: 0.9052, d0.loss_bbox: 0.6674, d0.loss_iou: 0.9828, d1.loss_bbox: 0.6422, d1.loss_iou: 0.9477, d2.loss_bbox: 0.6269, d2.loss_iou: 0.9262, d3.loss_bbox: 0.6162, d3.loss_iou: 0.9134, d4.loss_bbox: 0.6105, d4.loss_iou: 0.9065, loss: 12.4732, grad_norm: 9.9122 2022-10-27 02:29:48,669 - mmdet - INFO - Epoch [46][350/1849] lr: 2.000e-05, eta: 0:51:11, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1138, loss_bbox: 0.6090, loss_iou: 0.9048, d0.loss_bbox: 0.6670, d0.loss_iou: 0.9830, d1.loss_bbox: 0.6426, d1.loss_iou: 0.9476, d2.loss_bbox: 0.6270, d2.loss_iou: 0.9256, d3.loss_bbox: 0.6160, d3.loss_iou: 0.9129, d4.loss_bbox: 0.6099, d4.loss_iou: 0.9060, loss: 12.4653, grad_norm: 9.6338 2022-10-27 02:30:06,146 - mmdet - INFO - Epoch [46][400/1849] lr: 2.000e-05, eta: 0:50:54, time: 0.350, data_time: 0.010, memory: 4055, loss_contrastive: 3.1147, loss_bbox: 0.6093, loss_iou: 0.9057, d0.loss_bbox: 0.6690, d0.loss_iou: 0.9859, d1.loss_bbox: 0.6422, d1.loss_iou: 0.9502, d2.loss_bbox: 0.6268, d2.loss_iou: 0.9285, d3.loss_bbox: 0.6161, d3.loss_iou: 0.9147, d4.loss_bbox: 0.6101, d4.loss_iou: 0.9075, loss: 12.4808, grad_norm: 9.7375 2022-10-27 02:30:23,500 - mmdet - INFO - Epoch [46][450/1849] lr: 2.000e-05, eta: 0:50:37, time: 0.347, data_time: 0.010, memory: 4055, loss_contrastive: 3.1138, loss_bbox: 0.6086, loss_iou: 0.9028, d0.loss_bbox: 0.6669, d0.loss_iou: 0.9800, d1.loss_bbox: 0.6421, d1.loss_iou: 0.9454, d2.loss_bbox: 0.6271, d2.loss_iou: 0.9235, d3.loss_bbox: 0.6157, d3.loss_iou: 0.9109, d4.loss_bbox: 0.6094, d4.loss_iou: 0.9043, loss: 12.4506, grad_norm: 10.6566 2022-10-27 02:30:40,996 - mmdet - INFO - Epoch [46][500/1849] lr: 2.000e-05, eta: 0:50:19, time: 0.350, data_time: 0.010, memory: 4055, loss_contrastive: 3.1148, loss_bbox: 0.6086, loss_iou: 0.9040, d0.loss_bbox: 0.6678, d0.loss_iou: 0.9825, d1.loss_bbox: 0.6434, d1.loss_iou: 0.9481, d2.loss_bbox: 0.6269, d2.loss_iou: 0.9266, d3.loss_bbox: 0.6154, d3.loss_iou: 0.9128, d4.loss_bbox: 0.6092, d4.loss_iou: 0.9055, loss: 12.4654, grad_norm: 10.4094 2022-10-27 02:30:58,285 - mmdet - INFO - Epoch [46][550/1849] lr: 2.000e-05, eta: 0:50:02, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1096, loss_bbox: 0.6067, loss_iou: 0.9009, d0.loss_bbox: 0.6678, d0.loss_iou: 0.9810, d1.loss_bbox: 0.6414, d1.loss_iou: 0.9447, d2.loss_bbox: 0.6259, d2.loss_iou: 0.9236, d3.loss_bbox: 0.6137, d3.loss_iou: 0.9095, d4.loss_bbox: 0.6076, d4.loss_iou: 0.9023, loss: 12.4347, grad_norm: 9.8740 2022-10-27 02:31:15,722 - mmdet - INFO - Epoch [46][600/1849] lr: 2.000e-05, eta: 0:49:45, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1112, loss_bbox: 0.6098, loss_iou: 0.9058, d0.loss_bbox: 0.6689, d0.loss_iou: 0.9835, d1.loss_bbox: 0.6434, d1.loss_iou: 0.9487, d2.loss_bbox: 0.6276, d2.loss_iou: 0.9275, d3.loss_bbox: 0.6166, d3.loss_iou: 0.9142, d4.loss_bbox: 0.6106, d4.loss_iou: 0.9070, loss: 12.4748, grad_norm: 9.9966 2022-10-27 02:31:33,356 - mmdet - INFO - Epoch [46][650/1849] lr: 2.000e-05, eta: 0:49:28, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1128, loss_bbox: 0.6110, loss_iou: 0.9040, d0.loss_bbox: 0.6689, d0.loss_iou: 0.9804, d1.loss_bbox: 0.6431, d1.loss_iou: 0.9461, d2.loss_bbox: 0.6272, d2.loss_iou: 0.9254, d3.loss_bbox: 0.6172, d3.loss_iou: 0.9122, d4.loss_bbox: 0.6114, d4.loss_iou: 0.9055, loss: 12.4652, grad_norm: 9.5949 2022-10-27 02:31:51,036 - mmdet - INFO - Epoch [46][700/1849] lr: 2.000e-05, eta: 0:49:10, time: 0.354, data_time: 0.010, memory: 4055, loss_contrastive: 3.1126, loss_bbox: 0.6086, loss_iou: 0.9049, d0.loss_bbox: 0.6673, d0.loss_iou: 0.9808, d1.loss_bbox: 0.6428, d1.loss_iou: 0.9476, d2.loss_bbox: 0.6261, d2.loss_iou: 0.9268, d3.loss_bbox: 0.6154, d3.loss_iou: 0.9134, d4.loss_bbox: 0.6095, d4.loss_iou: 0.9062, loss: 12.4620, grad_norm: 9.6141 2022-10-27 02:32:08,873 - mmdet - INFO - Epoch [46][750/1849] lr: 2.000e-05, eta: 0:48:53, time: 0.357, data_time: 0.009, memory: 4055, loss_contrastive: 3.1174, loss_bbox: 0.6101, loss_iou: 0.9053, d0.loss_bbox: 0.6698, d0.loss_iou: 0.9827, d1.loss_bbox: 0.6444, d1.loss_iou: 0.9474, d2.loss_bbox: 0.6285, d2.loss_iou: 0.9272, d3.loss_bbox: 0.6171, d3.loss_iou: 0.9136, d4.loss_bbox: 0.6110, d4.loss_iou: 0.9067, loss: 12.4810, grad_norm: 9.6121 2022-10-27 02:32:26,426 - mmdet - INFO - Epoch [46][800/1849] lr: 2.000e-05, eta: 0:48:36, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1191, loss_bbox: 0.6095, loss_iou: 0.9049, d0.loss_bbox: 0.6677, d0.loss_iou: 0.9816, d1.loss_bbox: 0.6426, d1.loss_iou: 0.9476, d2.loss_bbox: 0.6268, d2.loss_iou: 0.9263, d3.loss_bbox: 0.6159, d3.loss_iou: 0.9137, d4.loss_bbox: 0.6104, d4.loss_iou: 0.9064, loss: 12.4727, grad_norm: 9.9041 2022-10-27 02:32:43,850 - mmdet - INFO - Epoch [46][850/1849] lr: 2.000e-05, eta: 0:48:19, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1215, loss_bbox: 0.6103, loss_iou: 0.9014, d0.loss_bbox: 0.6695, d0.loss_iou: 0.9787, d1.loss_bbox: 0.6437, d1.loss_iou: 0.9449, d2.loss_bbox: 0.6286, d2.loss_iou: 0.9229, d3.loss_bbox: 0.6173, d3.loss_iou: 0.9095, d4.loss_bbox: 0.6113, d4.loss_iou: 0.9025, loss: 12.4621, grad_norm: 9.4978 2022-10-27 02:33:01,191 - mmdet - INFO - Epoch [46][900/1849] lr: 2.000e-05, eta: 0:48:01, time: 0.347, data_time: 0.010, memory: 4055, loss_contrastive: 3.1078, loss_bbox: 0.6091, loss_iou: 0.9006, d0.loss_bbox: 0.6691, d0.loss_iou: 0.9786, d1.loss_bbox: 0.6433, d1.loss_iou: 0.9441, d2.loss_bbox: 0.6275, d2.loss_iou: 0.9224, d3.loss_bbox: 0.6164, d3.loss_iou: 0.9087, d4.loss_bbox: 0.6101, d4.loss_iou: 0.9020, loss: 12.4396, grad_norm: 11.0000 2022-10-27 02:33:18,745 - mmdet - INFO - Epoch [46][950/1849] lr: 2.000e-05, eta: 0:47:44, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1065, loss_bbox: 0.6081, loss_iou: 0.9053, d0.loss_bbox: 0.6667, d0.loss_iou: 0.9825, d1.loss_bbox: 0.6417, d1.loss_iou: 0.9478, d2.loss_bbox: 0.6256, d2.loss_iou: 0.9272, d3.loss_bbox: 0.6149, d3.loss_iou: 0.9140, d4.loss_bbox: 0.6089, d4.loss_iou: 0.9069, loss: 12.4562, grad_norm: 9.4054 2022-10-27 02:33:36,530 - mmdet - INFO - Epoch [46][1000/1849] lr: 2.000e-05, eta: 0:47:27, time: 0.356, data_time: 0.009, memory: 4055, loss_contrastive: 3.1157, loss_bbox: 0.6087, loss_iou: 0.9007, d0.loss_bbox: 0.6676, d0.loss_iou: 0.9798, d1.loss_bbox: 0.6428, d1.loss_iou: 0.9446, d2.loss_bbox: 0.6268, d2.loss_iou: 0.9229, d3.loss_bbox: 0.6160, d3.loss_iou: 0.9096, d4.loss_bbox: 0.6097, d4.loss_iou: 0.9019, loss: 12.4467, grad_norm: 9.4467 2022-10-27 02:33:53,976 - mmdet - INFO - Epoch [46][1050/1849] lr: 2.000e-05, eta: 0:47:10, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1112, loss_bbox: 0.6091, loss_iou: 0.9057, d0.loss_bbox: 0.6672, d0.loss_iou: 0.9834, d1.loss_bbox: 0.6418, d1.loss_iou: 0.9472, d2.loss_bbox: 0.6266, d2.loss_iou: 0.9267, d3.loss_bbox: 0.6159, d3.loss_iou: 0.9135, d4.loss_bbox: 0.6101, d4.loss_iou: 0.9068, loss: 12.4652, grad_norm: 9.6104 2022-10-27 02:34:11,203 - mmdet - INFO - Epoch [46][1100/1849] lr: 2.000e-05, eta: 0:46:52, time: 0.345, data_time: 0.010, memory: 4055, loss_contrastive: 3.1184, loss_bbox: 0.6080, loss_iou: 0.9046, d0.loss_bbox: 0.6669, d0.loss_iou: 0.9820, d1.loss_bbox: 0.6428, d1.loss_iou: 0.9476, d2.loss_bbox: 0.6269, d2.loss_iou: 0.9261, d3.loss_bbox: 0.6153, d3.loss_iou: 0.9127, d4.loss_bbox: 0.6089, d4.loss_iou: 0.9059, loss: 12.4660, grad_norm: 10.4423 2022-10-27 02:34:28,850 - mmdet - INFO - Epoch [46][1150/1849] lr: 2.000e-05, eta: 0:46:35, time: 0.353, data_time: 0.010, memory: 4055, loss_contrastive: 3.1096, loss_bbox: 0.6099, loss_iou: 0.9050, d0.loss_bbox: 0.6700, d0.loss_iou: 0.9850, d1.loss_bbox: 0.6449, d1.loss_iou: 0.9488, d2.loss_bbox: 0.6282, d2.loss_iou: 0.9265, d3.loss_bbox: 0.6170, d3.loss_iou: 0.9140, d4.loss_bbox: 0.6108, d4.loss_iou: 0.9063, loss: 12.4761, grad_norm: 10.3796 2022-10-27 02:34:46,191 - mmdet - INFO - Epoch [46][1200/1849] lr: 2.000e-05, eta: 0:46:18, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1128, loss_bbox: 0.6096, loss_iou: 0.9058, d0.loss_bbox: 0.6693, d0.loss_iou: 0.9839, d1.loss_bbox: 0.6430, d1.loss_iou: 0.9484, d2.loss_bbox: 0.6275, d2.loss_iou: 0.9272, d3.loss_bbox: 0.6162, d3.loss_iou: 0.9139, d4.loss_bbox: 0.6104, d4.loss_iou: 0.9074, loss: 12.4756, grad_norm: 9.8939 2022-10-27 02:35:03,560 - mmdet - INFO - Epoch [46][1250/1849] lr: 2.000e-05, eta: 0:46:01, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1188, loss_bbox: 0.6085, loss_iou: 0.9019, d0.loss_bbox: 0.6675, d0.loss_iou: 0.9795, d1.loss_bbox: 0.6422, d1.loss_iou: 0.9442, d2.loss_bbox: 0.6263, d2.loss_iou: 0.9232, d3.loss_bbox: 0.6153, d3.loss_iou: 0.9100, d4.loss_bbox: 0.6093, d4.loss_iou: 0.9034, loss: 12.4500, grad_norm: 10.7978 2022-10-27 02:35:20,950 - mmdet - INFO - Epoch [46][1300/1849] lr: 2.000e-05, eta: 0:45:43, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1073, loss_bbox: 0.6080, loss_iou: 0.8991, d0.loss_bbox: 0.6670, d0.loss_iou: 0.9782, d1.loss_bbox: 0.6417, d1.loss_iou: 0.9421, d2.loss_bbox: 0.6256, d2.loss_iou: 0.9204, d3.loss_bbox: 0.6147, d3.loss_iou: 0.9077, d4.loss_bbox: 0.6089, d4.loss_iou: 0.9006, loss: 12.4214, grad_norm: 10.1321 2022-10-27 02:35:38,314 - mmdet - INFO - Epoch [46][1350/1849] lr: 2.000e-05, eta: 0:45:26, time: 0.347, data_time: 0.010, memory: 4055, loss_contrastive: 3.1152, loss_bbox: 0.6090, loss_iou: 0.9036, d0.loss_bbox: 0.6669, d0.loss_iou: 0.9806, d1.loss_bbox: 0.6423, d1.loss_iou: 0.9449, d2.loss_bbox: 0.6264, d2.loss_iou: 0.9251, d3.loss_bbox: 0.6155, d3.loss_iou: 0.9117, d4.loss_bbox: 0.6099, d4.loss_iou: 0.9049, loss: 12.4560, grad_norm: 9.9103 2022-10-27 02:35:55,780 - mmdet - INFO - Epoch [46][1400/1849] lr: 2.000e-05, eta: 0:45:09, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1157, loss_bbox: 0.6093, loss_iou: 0.9047, d0.loss_bbox: 0.6682, d0.loss_iou: 0.9828, d1.loss_bbox: 0.6433, d1.loss_iou: 0.9479, d2.loss_bbox: 0.6271, d2.loss_iou: 0.9266, d3.loss_bbox: 0.6162, d3.loss_iou: 0.9132, d4.loss_bbox: 0.6099, d4.loss_iou: 0.9062, loss: 12.4711, grad_norm: 10.2047 2022-10-27 02:36:13,206 - mmdet - INFO - Epoch [46][1450/1849] lr: 2.000e-05, eta: 0:44:52, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1210, loss_bbox: 0.6106, loss_iou: 0.9042, d0.loss_bbox: 0.6704, d0.loss_iou: 0.9834, d1.loss_bbox: 0.6451, d1.loss_iou: 0.9479, d2.loss_bbox: 0.6289, d2.loss_iou: 0.9261, d3.loss_bbox: 0.6174, d3.loss_iou: 0.9128, d4.loss_bbox: 0.6114, d4.loss_iou: 0.9057, loss: 12.4850, grad_norm: 9.7361 2022-10-27 02:36:30,837 - mmdet - INFO - Epoch [46][1500/1849] lr: 2.000e-05, eta: 0:44:34, time: 0.353, data_time: 0.010, memory: 4055, loss_contrastive: 3.1125, loss_bbox: 0.6069, loss_iou: 0.9020, d0.loss_bbox: 0.6669, d0.loss_iou: 0.9814, d1.loss_bbox: 0.6408, d1.loss_iou: 0.9460, d2.loss_bbox: 0.6246, d2.loss_iou: 0.9240, d3.loss_bbox: 0.6136, d3.loss_iou: 0.9103, d4.loss_bbox: 0.6079, d4.loss_iou: 0.9034, loss: 12.4403, grad_norm: 10.5155 2022-10-27 02:36:48,208 - mmdet - INFO - Epoch [46][1550/1849] lr: 2.000e-05, eta: 0:44:17, time: 0.347, data_time: 0.010, memory: 4055, loss_contrastive: 3.1073, loss_bbox: 0.6088, loss_iou: 0.9030, d0.loss_bbox: 0.6671, d0.loss_iou: 0.9800, d1.loss_bbox: 0.6419, d1.loss_iou: 0.9450, d2.loss_bbox: 0.6258, d2.loss_iou: 0.9239, d3.loss_bbox: 0.6153, d3.loss_iou: 0.9107, d4.loss_bbox: 0.6099, d4.loss_iou: 0.9041, loss: 12.4428, grad_norm: 10.4173 2022-10-27 02:37:05,597 - mmdet - INFO - Epoch [46][1600/1849] lr: 2.000e-05, eta: 0:44:00, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1174, loss_bbox: 0.6102, loss_iou: 0.9048, d0.loss_bbox: 0.6686, d0.loss_iou: 0.9820, d1.loss_bbox: 0.6431, d1.loss_iou: 0.9473, d2.loss_bbox: 0.6275, d2.loss_iou: 0.9261, d3.loss_bbox: 0.6164, d3.loss_iou: 0.9132, d4.loss_bbox: 0.6109, d4.loss_iou: 0.9063, loss: 12.4737, grad_norm: 8.8015 2022-10-27 02:37:22,986 - mmdet - INFO - Epoch [46][1650/1849] lr: 2.000e-05, eta: 0:43:43, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1151, loss_bbox: 0.6076, loss_iou: 0.9023, d0.loss_bbox: 0.6677, d0.loss_iou: 0.9793, d1.loss_bbox: 0.6419, d1.loss_iou: 0.9448, d2.loss_bbox: 0.6256, d2.loss_iou: 0.9236, d3.loss_bbox: 0.6147, d3.loss_iou: 0.9107, d4.loss_bbox: 0.6086, d4.loss_iou: 0.9036, loss: 12.4456, grad_norm: 10.5121 2022-10-27 02:37:40,277 - mmdet - INFO - Epoch [46][1700/1849] lr: 2.000e-05, eta: 0:43:25, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1145, loss_bbox: 0.6088, loss_iou: 0.9027, d0.loss_bbox: 0.6683, d0.loss_iou: 0.9799, d1.loss_bbox: 0.6425, d1.loss_iou: 0.9456, d2.loss_bbox: 0.6270, d2.loss_iou: 0.9240, d3.loss_bbox: 0.6156, d3.loss_iou: 0.9109, d4.loss_bbox: 0.6097, d4.loss_iou: 0.9042, loss: 12.4538, grad_norm: 10.8238 2022-10-27 02:37:57,793 - mmdet - INFO - Epoch [46][1750/1849] lr: 2.000e-05, eta: 0:43:08, time: 0.350, data_time: 0.010, memory: 4055, loss_contrastive: 3.1179, loss_bbox: 0.6096, loss_iou: 0.9029, d0.loss_bbox: 0.6677, d0.loss_iou: 0.9796, d1.loss_bbox: 0.6426, d1.loss_iou: 0.9456, d2.loss_bbox: 0.6273, d2.loss_iou: 0.9244, d3.loss_bbox: 0.6162, d3.loss_iou: 0.9108, d4.loss_bbox: 0.6105, d4.loss_iou: 0.9041, loss: 12.4592, grad_norm: 9.7354 2022-10-27 02:38:15,540 - mmdet - INFO - Epoch [46][1800/1849] lr: 2.000e-05, eta: 0:42:51, time: 0.355, data_time: 0.009, memory: 4055, loss_contrastive: 3.1140, loss_bbox: 0.6092, loss_iou: 0.9031, d0.loss_bbox: 0.6695, d0.loss_iou: 0.9807, d1.loss_bbox: 0.6433, d1.loss_iou: 0.9453, d2.loss_bbox: 0.6271, d2.loss_iou: 0.9242, d3.loss_bbox: 0.6161, d3.loss_iou: 0.9113, d4.loss_bbox: 0.6100, d4.loss_iou: 0.9047, loss: 12.4586, grad_norm: 13.0245 2022-10-27 02:38:32,828 - mmdet - INFO - Saving checkpoint at 46 epochs 2022-10-27 02:38:55,155 - mmdet - INFO - Epoch [47][50/1849] lr: 2.000e-05, eta: 0:42:16, time: 0.420, data_time: 0.071, memory: 4055, loss_contrastive: 3.1160, loss_bbox: 0.6105, loss_iou: 0.9057, d0.loss_bbox: 0.6695, d0.loss_iou: 0.9830, d1.loss_bbox: 0.6436, d1.loss_iou: 0.9480, d2.loss_bbox: 0.6285, d2.loss_iou: 0.9275, d3.loss_bbox: 0.6177, d3.loss_iou: 0.9141, d4.loss_bbox: 0.6114, d4.loss_iou: 0.9071, loss: 12.4827, grad_norm: 10.8563 2022-10-27 02:39:12,674 - mmdet - INFO - Epoch [47][100/1849] lr: 2.000e-05, eta: 0:41:58, time: 0.350, data_time: 0.010, memory: 4055, loss_contrastive: 3.1138, loss_bbox: 0.6057, loss_iou: 0.9054, d0.loss_bbox: 0.6647, d0.loss_iou: 0.9836, d1.loss_bbox: 0.6390, d1.loss_iou: 0.9479, d2.loss_bbox: 0.6236, d2.loss_iou: 0.9271, d3.loss_bbox: 0.6127, d3.loss_iou: 0.9137, d4.loss_bbox: 0.6065, d4.loss_iou: 0.9069, loss: 12.4504, grad_norm: 10.2862 2022-10-27 02:39:30,081 - mmdet - INFO - Epoch [47][150/1849] lr: 2.000e-05, eta: 0:41:41, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1174, loss_bbox: 0.6060, loss_iou: 0.9042, d0.loss_bbox: 0.6659, d0.loss_iou: 0.9839, d1.loss_bbox: 0.6403, d1.loss_iou: 0.9477, d2.loss_bbox: 0.6242, d2.loss_iou: 0.9268, d3.loss_bbox: 0.6128, d3.loss_iou: 0.9129, d4.loss_bbox: 0.6068, d4.loss_iou: 0.9057, loss: 12.4544, grad_norm: 10.4845 2022-10-27 02:39:47,762 - mmdet - INFO - Epoch [47][200/1849] lr: 2.000e-05, eta: 0:41:24, time: 0.354, data_time: 0.011, memory: 4055, loss_contrastive: 3.1137, loss_bbox: 0.6093, loss_iou: 0.9034, d0.loss_bbox: 0.6673, d0.loss_iou: 0.9794, d1.loss_bbox: 0.6422, d1.loss_iou: 0.9456, d2.loss_bbox: 0.6264, d2.loss_iou: 0.9247, d3.loss_bbox: 0.6155, d3.loss_iou: 0.9115, d4.loss_bbox: 0.6100, d4.loss_iou: 0.9049, loss: 12.4540, grad_norm: 11.2041 2022-10-27 02:40:05,100 - mmdet - INFO - Epoch [47][250/1849] lr: 2.000e-05, eta: 0:41:07, time: 0.347, data_time: 0.010, memory: 4055, loss_contrastive: 3.1109, loss_bbox: 0.6111, loss_iou: 0.8990, d0.loss_bbox: 0.6703, d0.loss_iou: 0.9773, d1.loss_bbox: 0.6454, d1.loss_iou: 0.9429, d2.loss_bbox: 0.6296, d2.loss_iou: 0.9212, d3.loss_bbox: 0.6178, d3.loss_iou: 0.9075, d4.loss_bbox: 0.6119, d4.loss_iou: 0.9005, loss: 12.4455, grad_norm: 10.8746 2022-10-27 02:40:22,802 - mmdet - INFO - Epoch [47][300/1849] lr: 2.000e-05, eta: 0:40:49, time: 0.354, data_time: 0.010, memory: 4055, loss_contrastive: 3.1072, loss_bbox: 0.6083, loss_iou: 0.9002, d0.loss_bbox: 0.6660, d0.loss_iou: 0.9768, d1.loss_bbox: 0.6411, d1.loss_iou: 0.9413, d2.loss_bbox: 0.6257, d2.loss_iou: 0.9206, d3.loss_bbox: 0.6148, d3.loss_iou: 0.9086, d4.loss_bbox: 0.6092, d4.loss_iou: 0.9016, loss: 12.4213, grad_norm: 9.4939 2022-10-27 02:40:40,679 - mmdet - INFO - Epoch [47][350/1849] lr: 2.000e-05, eta: 0:40:32, time: 0.357, data_time: 0.010, memory: 4055, loss_contrastive: 3.1222, loss_bbox: 0.6091, loss_iou: 0.9038, d0.loss_bbox: 0.6679, d0.loss_iou: 0.9803, d1.loss_bbox: 0.6425, d1.loss_iou: 0.9459, d2.loss_bbox: 0.6270, d2.loss_iou: 0.9251, d3.loss_bbox: 0.6159, d3.loss_iou: 0.9121, d4.loss_bbox: 0.6101, d4.loss_iou: 0.9052, loss: 12.4671, grad_norm: 10.1531 2022-10-27 02:40:58,335 - mmdet - INFO - Epoch [47][400/1849] lr: 2.000e-05, eta: 0:40:15, time: 0.353, data_time: 0.011, memory: 4055, loss_contrastive: 3.1145, loss_bbox: 0.6102, loss_iou: 0.9047, d0.loss_bbox: 0.6692, d0.loss_iou: 0.9830, d1.loss_bbox: 0.6433, d1.loss_iou: 0.9481, d2.loss_bbox: 0.6274, d2.loss_iou: 0.9268, d3.loss_bbox: 0.6166, d3.loss_iou: 0.9136, d4.loss_bbox: 0.6112, d4.loss_iou: 0.9061, loss: 12.4746, grad_norm: 9.4179 2022-10-27 02:41:15,874 - mmdet - INFO - Epoch [47][450/1849] lr: 2.000e-05, eta: 0:39:58, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1109, loss_bbox: 0.6092, loss_iou: 0.9004, d0.loss_bbox: 0.6696, d0.loss_iou: 0.9783, d1.loss_bbox: 0.6437, d1.loss_iou: 0.9433, d2.loss_bbox: 0.6277, d2.loss_iou: 0.9213, d3.loss_bbox: 0.6159, d3.loss_iou: 0.9086, d4.loss_bbox: 0.6101, d4.loss_iou: 0.9018, loss: 12.4409, grad_norm: 9.5827 2022-10-27 02:41:33,252 - mmdet - INFO - Epoch [47][500/1849] lr: 2.000e-05, eta: 0:39:40, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1148, loss_bbox: 0.6059, loss_iou: 0.9016, d0.loss_bbox: 0.6648, d0.loss_iou: 0.9795, d1.loss_bbox: 0.6401, d1.loss_iou: 0.9449, d2.loss_bbox: 0.6240, d2.loss_iou: 0.9230, d3.loss_bbox: 0.6127, d3.loss_iou: 0.9100, d4.loss_bbox: 0.6069, d4.loss_iou: 0.9029, loss: 12.4311, grad_norm: 10.7419 2022-10-27 02:41:50,588 - mmdet - INFO - Epoch [47][550/1849] lr: 2.000e-05, eta: 0:39:23, time: 0.346, data_time: 0.011, memory: 4055, loss_contrastive: 3.1104, loss_bbox: 0.6099, loss_iou: 0.9028, d0.loss_bbox: 0.6687, d0.loss_iou: 0.9805, d1.loss_bbox: 0.6441, d1.loss_iou: 0.9453, d2.loss_bbox: 0.6279, d2.loss_iou: 0.9242, d3.loss_bbox: 0.6166, d3.loss_iou: 0.9113, d4.loss_bbox: 0.6109, d4.loss_iou: 0.9043, loss: 12.4569, grad_norm: 10.0723 2022-10-27 02:42:07,963 - mmdet - INFO - Epoch [47][600/1849] lr: 2.000e-05, eta: 0:39:06, time: 0.348, data_time: 0.011, memory: 4055, loss_contrastive: 3.1146, loss_bbox: 0.6079, loss_iou: 0.9011, d0.loss_bbox: 0.6686, d0.loss_iou: 0.9802, d1.loss_bbox: 0.6441, d1.loss_iou: 0.9445, d2.loss_bbox: 0.6269, d2.loss_iou: 0.9231, d3.loss_bbox: 0.6151, d3.loss_iou: 0.9099, d4.loss_bbox: 0.6090, d4.loss_iou: 0.9025, loss: 12.4475, grad_norm: 9.9062 2022-10-27 02:42:25,515 - mmdet - INFO - Epoch [47][650/1849] lr: 2.000e-05, eta: 0:38:49, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1115, loss_bbox: 0.6119, loss_iou: 0.9036, d0.loss_bbox: 0.6718, d0.loss_iou: 0.9823, d1.loss_bbox: 0.6464, d1.loss_iou: 0.9466, d2.loss_bbox: 0.6300, d2.loss_iou: 0.9246, d3.loss_bbox: 0.6190, d3.loss_iou: 0.9115, d4.loss_bbox: 0.6128, d4.loss_iou: 0.9049, loss: 12.4769, grad_norm: 9.7419 2022-10-27 02:42:43,114 - mmdet - INFO - Epoch [47][700/1849] lr: 2.000e-05, eta: 0:38:31, time: 0.352, data_time: 0.010, memory: 4055, loss_contrastive: 3.1095, loss_bbox: 0.6088, loss_iou: 0.9049, d0.loss_bbox: 0.6659, d0.loss_iou: 0.9828, d1.loss_bbox: 0.6415, d1.loss_iou: 0.9477, d2.loss_bbox: 0.6256, d2.loss_iou: 0.9268, d3.loss_bbox: 0.6157, d3.loss_iou: 0.9133, d4.loss_bbox: 0.6096, d4.loss_iou: 0.9063, loss: 12.4583, grad_norm: 10.5042 2022-10-27 02:43:00,555 - mmdet - INFO - Epoch [47][750/1849] lr: 2.000e-05, eta: 0:38:14, time: 0.349, data_time: 0.011, memory: 4055, loss_contrastive: 3.1128, loss_bbox: 0.6072, loss_iou: 0.9019, d0.loss_bbox: 0.6660, d0.loss_iou: 0.9808, d1.loss_bbox: 0.6419, d1.loss_iou: 0.9458, d2.loss_bbox: 0.6254, d2.loss_iou: 0.9239, d3.loss_bbox: 0.6144, d3.loss_iou: 0.9100, d4.loss_bbox: 0.6086, d4.loss_iou: 0.9029, loss: 12.4415, grad_norm: 9.6793 2022-10-27 02:43:17,933 - mmdet - INFO - Epoch [47][800/1849] lr: 2.000e-05, eta: 0:37:57, time: 0.348, data_time: 0.011, memory: 4055, loss_contrastive: 3.1119, loss_bbox: 0.6067, loss_iou: 0.9043, d0.loss_bbox: 0.6665, d0.loss_iou: 0.9822, d1.loss_bbox: 0.6408, d1.loss_iou: 0.9471, d2.loss_bbox: 0.6248, d2.loss_iou: 0.9255, d3.loss_bbox: 0.6131, d3.loss_iou: 0.9123, d4.loss_bbox: 0.6079, d4.loss_iou: 0.9057, loss: 12.4489, grad_norm: 10.0309 2022-10-27 02:43:35,222 - mmdet - INFO - Epoch [47][850/1849] lr: 2.000e-05, eta: 0:37:40, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1170, loss_bbox: 0.6072, loss_iou: 0.9032, d0.loss_bbox: 0.6672, d0.loss_iou: 0.9814, d1.loss_bbox: 0.6416, d1.loss_iou: 0.9460, d2.loss_bbox: 0.6249, d2.loss_iou: 0.9244, d3.loss_bbox: 0.6140, d3.loss_iou: 0.9111, d4.loss_bbox: 0.6081, d4.loss_iou: 0.9048, loss: 12.4508, grad_norm: 10.5260 2022-10-27 02:43:52,464 - mmdet - INFO - Epoch [47][900/1849] lr: 2.000e-05, eta: 0:37:22, time: 0.345, data_time: 0.011, memory: 4055, loss_contrastive: 3.1168, loss_bbox: 0.6073, loss_iou: 0.9033, d0.loss_bbox: 0.6669, d0.loss_iou: 0.9815, d1.loss_bbox: 0.6408, d1.loss_iou: 0.9455, d2.loss_bbox: 0.6254, d2.loss_iou: 0.9240, d3.loss_bbox: 0.6137, d3.loss_iou: 0.9116, d4.loss_bbox: 0.6084, d4.loss_iou: 0.9047, loss: 12.4498, grad_norm: 9.9222 2022-10-27 02:44:09,755 - mmdet - INFO - Epoch [47][950/1849] lr: 2.000e-05, eta: 0:37:05, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1113, loss_bbox: 0.6052, loss_iou: 0.9023, d0.loss_bbox: 0.6633, d0.loss_iou: 0.9795, d1.loss_bbox: 0.6389, d1.loss_iou: 0.9449, d2.loss_bbox: 0.6225, d2.loss_iou: 0.9236, d3.loss_bbox: 0.6116, d3.loss_iou: 0.9110, d4.loss_bbox: 0.6061, d4.loss_iou: 0.9037, loss: 12.4238, grad_norm: 10.3979 2022-10-27 02:44:27,310 - mmdet - INFO - Epoch [47][1000/1849] lr: 2.000e-05, eta: 0:36:48, time: 0.351, data_time: 0.011, memory: 4055, loss_contrastive: 3.1153, loss_bbox: 0.6106, loss_iou: 0.9025, d0.loss_bbox: 0.6699, d0.loss_iou: 0.9806, d1.loss_bbox: 0.6446, d1.loss_iou: 0.9451, d2.loss_bbox: 0.6287, d2.loss_iou: 0.9247, d3.loss_bbox: 0.6171, d3.loss_iou: 0.9110, d4.loss_bbox: 0.6115, d4.loss_iou: 0.9038, loss: 12.4654, grad_norm: 11.3162 2022-10-27 02:44:44,447 - mmdet - INFO - Epoch [47][1050/1849] lr: 2.000e-05, eta: 0:36:31, time: 0.343, data_time: 0.010, memory: 4055, loss_contrastive: 3.1079, loss_bbox: 0.6101, loss_iou: 0.8996, d0.loss_bbox: 0.6696, d0.loss_iou: 0.9775, d1.loss_bbox: 0.6438, d1.loss_iou: 0.9429, d2.loss_bbox: 0.6280, d2.loss_iou: 0.9220, d3.loss_bbox: 0.6170, d3.loss_iou: 0.9077, d4.loss_bbox: 0.6109, d4.loss_iou: 0.9012, loss: 12.4382, grad_norm: 10.2099 2022-10-27 02:45:01,662 - mmdet - INFO - Epoch [47][1100/1849] lr: 2.000e-05, eta: 0:36:13, time: 0.344, data_time: 0.010, memory: 4055, loss_contrastive: 3.1112, loss_bbox: 0.6088, loss_iou: 0.9043, d0.loss_bbox: 0.6690, d0.loss_iou: 0.9831, d1.loss_bbox: 0.6423, d1.loss_iou: 0.9474, d2.loss_bbox: 0.6271, d2.loss_iou: 0.9263, d3.loss_bbox: 0.6156, d3.loss_iou: 0.9128, d4.loss_bbox: 0.6095, d4.loss_iou: 0.9058, loss: 12.4632, grad_norm: 9.5247 2022-10-27 02:45:19,094 - mmdet - INFO - Epoch [47][1150/1849] lr: 2.000e-05, eta: 0:35:56, time: 0.349, data_time: 0.011, memory: 4055, loss_contrastive: 3.1181, loss_bbox: 0.6077, loss_iou: 0.9041, d0.loss_bbox: 0.6674, d0.loss_iou: 0.9817, d1.loss_bbox: 0.6418, d1.loss_iou: 0.9466, d2.loss_bbox: 0.6255, d2.loss_iou: 0.9253, d3.loss_bbox: 0.6148, d3.loss_iou: 0.9119, d4.loss_bbox: 0.6086, d4.loss_iou: 0.9051, loss: 12.4587, grad_norm: 10.2625 2022-10-27 02:45:36,473 - mmdet - INFO - Epoch [47][1200/1849] lr: 2.000e-05, eta: 0:35:39, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1101, loss_bbox: 0.6114, loss_iou: 0.9049, d0.loss_bbox: 0.6703, d0.loss_iou: 0.9814, d1.loss_bbox: 0.6450, d1.loss_iou: 0.9472, d2.loss_bbox: 0.6289, d2.loss_iou: 0.9264, d3.loss_bbox: 0.6179, d3.loss_iou: 0.9129, d4.loss_bbox: 0.6125, d4.loss_iou: 0.9060, loss: 12.4748, grad_norm: 10.1520 2022-10-27 02:45:53,861 - mmdet - INFO - Epoch [47][1250/1849] lr: 2.000e-05, eta: 0:35:22, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1090, loss_bbox: 0.6070, loss_iou: 0.9031, d0.loss_bbox: 0.6662, d0.loss_iou: 0.9805, d1.loss_bbox: 0.6407, d1.loss_iou: 0.9451, d2.loss_bbox: 0.6240, d2.loss_iou: 0.9242, d3.loss_bbox: 0.6135, d3.loss_iou: 0.9112, d4.loss_bbox: 0.6080, d4.loss_iou: 0.9044, loss: 12.4369, grad_norm: 10.9754 2022-10-27 02:46:11,212 - mmdet - INFO - Epoch [47][1300/1849] lr: 2.000e-05, eta: 0:35:04, time: 0.347, data_time: 0.010, memory: 4055, loss_contrastive: 3.1115, loss_bbox: 0.6069, loss_iou: 0.9009, d0.loss_bbox: 0.6657, d0.loss_iou: 0.9775, d1.loss_bbox: 0.6413, d1.loss_iou: 0.9438, d2.loss_bbox: 0.6251, d2.loss_iou: 0.9229, d3.loss_bbox: 0.6140, d3.loss_iou: 0.9090, d4.loss_bbox: 0.6080, d4.loss_iou: 0.9025, loss: 12.4290, grad_norm: 10.5196 2022-10-27 02:46:29,133 - mmdet - INFO - Epoch [47][1350/1849] lr: 2.000e-05, eta: 0:34:47, time: 0.358, data_time: 0.011, memory: 4055, loss_contrastive: 3.1122, loss_bbox: 0.6074, loss_iou: 0.8998, d0.loss_bbox: 0.6666, d0.loss_iou: 0.9774, d1.loss_bbox: 0.6410, d1.loss_iou: 0.9423, d2.loss_bbox: 0.6252, d2.loss_iou: 0.9209, d3.loss_bbox: 0.6141, d3.loss_iou: 0.9082, d4.loss_bbox: 0.6084, d4.loss_iou: 0.9010, loss: 12.4245, grad_norm: 9.3384 2022-10-27 02:46:46,638 - mmdet - INFO - Epoch [47][1400/1849] lr: 2.000e-05, eta: 0:34:30, time: 0.350, data_time: 0.010, memory: 4055, loss_contrastive: 3.1087, loss_bbox: 0.6085, loss_iou: 0.9023, d0.loss_bbox: 0.6678, d0.loss_iou: 0.9794, d1.loss_bbox: 0.6424, d1.loss_iou: 0.9450, d2.loss_bbox: 0.6258, d2.loss_iou: 0.9239, d3.loss_bbox: 0.6154, d3.loss_iou: 0.9108, d4.loss_bbox: 0.6094, d4.loss_iou: 0.9036, loss: 12.4429, grad_norm: 9.8096 2022-10-27 02:47:03,952 - mmdet - INFO - Epoch [47][1450/1849] lr: 2.000e-05, eta: 0:34:13, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1186, loss_bbox: 0.6122, loss_iou: 0.9037, d0.loss_bbox: 0.6698, d0.loss_iou: 0.9804, d1.loss_bbox: 0.6449, d1.loss_iou: 0.9463, d2.loss_bbox: 0.6297, d2.loss_iou: 0.9254, d3.loss_bbox: 0.6190, d3.loss_iou: 0.9120, d4.loss_bbox: 0.6132, d4.loss_iou: 0.9049, loss: 12.4802, grad_norm: 9.5651 2022-10-27 02:47:21,393 - mmdet - INFO - Epoch [47][1500/1849] lr: 2.000e-05, eta: 0:33:55, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1100, loss_bbox: 0.6072, loss_iou: 0.8996, d0.loss_bbox: 0.6663, d0.loss_iou: 0.9771, d1.loss_bbox: 0.6415, d1.loss_iou: 0.9433, d2.loss_bbox: 0.6258, d2.loss_iou: 0.9216, d3.loss_bbox: 0.6147, d3.loss_iou: 0.9079, d4.loss_bbox: 0.6083, d4.loss_iou: 0.9008, loss: 12.4242, grad_norm: 11.8454 2022-10-27 02:47:38,905 - mmdet - INFO - Epoch [47][1550/1849] lr: 2.000e-05, eta: 0:33:38, time: 0.350, data_time: 0.011, memory: 4055, loss_contrastive: 3.1086, loss_bbox: 0.6082, loss_iou: 0.8999, d0.loss_bbox: 0.6681, d0.loss_iou: 0.9784, d1.loss_bbox: 0.6423, d1.loss_iou: 0.9440, d2.loss_bbox: 0.6261, d2.loss_iou: 0.9221, d3.loss_bbox: 0.6151, d3.loss_iou: 0.9082, d4.loss_bbox: 0.6091, d4.loss_iou: 0.9012, loss: 12.4313, grad_norm: 9.9961 2022-10-27 02:47:56,130 - mmdet - INFO - Epoch [47][1600/1849] lr: 2.000e-05, eta: 0:33:21, time: 0.345, data_time: 0.010, memory: 4055, loss_contrastive: 3.1175, loss_bbox: 0.6093, loss_iou: 0.9008, d0.loss_bbox: 0.6676, d0.loss_iou: 0.9778, d1.loss_bbox: 0.6433, d1.loss_iou: 0.9443, d2.loss_bbox: 0.6274, d2.loss_iou: 0.9223, d3.loss_bbox: 0.6161, d3.loss_iou: 0.9086, d4.loss_bbox: 0.6102, d4.loss_iou: 0.9021, loss: 12.4472, grad_norm: 9.8574 2022-10-27 02:48:13,431 - mmdet - INFO - Epoch [47][1650/1849] lr: 2.000e-05, eta: 0:33:04, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1154, loss_bbox: 0.6075, loss_iou: 0.9053, d0.loss_bbox: 0.6666, d0.loss_iou: 0.9825, d1.loss_bbox: 0.6411, d1.loss_iou: 0.9480, d2.loss_bbox: 0.6253, d2.loss_iou: 0.9269, d3.loss_bbox: 0.6148, d3.loss_iou: 0.9139, d4.loss_bbox: 0.6084, d4.loss_iou: 0.9066, loss: 12.4622, grad_norm: 9.2946 2022-10-27 02:48:30,955 - mmdet - INFO - Epoch [47][1700/1849] lr: 2.000e-05, eta: 0:32:46, time: 0.350, data_time: 0.010, memory: 4055, loss_contrastive: 3.1110, loss_bbox: 0.6100, loss_iou: 0.9051, d0.loss_bbox: 0.6686, d0.loss_iou: 0.9828, d1.loss_bbox: 0.6434, d1.loss_iou: 0.9484, d2.loss_bbox: 0.6274, d2.loss_iou: 0.9261, d3.loss_bbox: 0.6168, d3.loss_iou: 0.9136, d4.loss_bbox: 0.6110, d4.loss_iou: 0.9064, loss: 12.4709, grad_norm: 10.3900 2022-10-27 02:48:48,239 - mmdet - INFO - Epoch [47][1750/1849] lr: 2.000e-05, eta: 0:32:29, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1152, loss_bbox: 0.6077, loss_iou: 0.9030, d0.loss_bbox: 0.6666, d0.loss_iou: 0.9793, d1.loss_bbox: 0.6412, d1.loss_iou: 0.9448, d2.loss_bbox: 0.6250, d2.loss_iou: 0.9242, d3.loss_bbox: 0.6144, d3.loss_iou: 0.9112, d4.loss_bbox: 0.6085, d4.loss_iou: 0.9046, loss: 12.4459, grad_norm: 10.7305 2022-10-27 02:49:05,654 - mmdet - INFO - Epoch [47][1800/1849] lr: 2.000e-05, eta: 0:32:12, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1066, loss_bbox: 0.6068, loss_iou: 0.9019, d0.loss_bbox: 0.6664, d0.loss_iou: 0.9797, d1.loss_bbox: 0.6410, d1.loss_iou: 0.9448, d2.loss_bbox: 0.6254, d2.loss_iou: 0.9235, d3.loss_bbox: 0.6143, d3.loss_iou: 0.9104, d4.loss_bbox: 0.6077, d4.loss_iou: 0.9031, loss: 12.4315, grad_norm: 11.0772 2022-10-27 02:49:22,917 - mmdet - INFO - Saving checkpoint at 47 epochs 2022-10-27 02:49:45,149 - mmdet - INFO - Epoch [48][50/1849] lr: 2.000e-05, eta: 0:31:37, time: 0.417, data_time: 0.072, memory: 4055, loss_contrastive: 3.1187, loss_bbox: 0.6074, loss_iou: 0.9019, d0.loss_bbox: 0.6669, d0.loss_iou: 0.9787, d1.loss_bbox: 0.6412, d1.loss_iou: 0.9434, d2.loss_bbox: 0.6260, d2.loss_iou: 0.9229, d3.loss_bbox: 0.6142, d3.loss_iou: 0.9101, d4.loss_bbox: 0.6083, d4.loss_iou: 0.9030, loss: 12.4426, grad_norm: 9.2972 2022-10-27 02:50:02,691 - mmdet - INFO - Epoch [48][100/1849] lr: 2.000e-05, eta: 0:31:20, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1164, loss_bbox: 0.6108, loss_iou: 0.9037, d0.loss_bbox: 0.6691, d0.loss_iou: 0.9820, d1.loss_bbox: 0.6437, d1.loss_iou: 0.9451, d2.loss_bbox: 0.6279, d2.loss_iou: 0.9245, d3.loss_bbox: 0.6171, d3.loss_iou: 0.9118, d4.loss_bbox: 0.6116, d4.loss_iou: 0.9049, loss: 12.4686, grad_norm: 10.4398 2022-10-27 02:50:20,293 - mmdet - INFO - Epoch [48][150/1849] lr: 2.000e-05, eta: 0:31:02, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1114, loss_bbox: 0.6086, loss_iou: 0.9020, d0.loss_bbox: 0.6678, d0.loss_iou: 0.9797, d1.loss_bbox: 0.6425, d1.loss_iou: 0.9442, d2.loss_bbox: 0.6268, d2.loss_iou: 0.9228, d3.loss_bbox: 0.6153, d3.loss_iou: 0.9104, d4.loss_bbox: 0.6094, d4.loss_iou: 0.9035, loss: 12.4443, grad_norm: 10.4659 2022-10-27 02:50:38,197 - mmdet - INFO - Epoch [48][200/1849] lr: 2.000e-05, eta: 0:30:45, time: 0.358, data_time: 0.009, memory: 4055, loss_contrastive: 3.1190, loss_bbox: 0.6064, loss_iou: 0.9003, d0.loss_bbox: 0.6652, d0.loss_iou: 0.9777, d1.loss_bbox: 0.6397, d1.loss_iou: 0.9421, d2.loss_bbox: 0.6235, d2.loss_iou: 0.9211, d3.loss_bbox: 0.6127, d3.loss_iou: 0.9084, d4.loss_bbox: 0.6072, d4.loss_iou: 0.9017, loss: 12.4253, grad_norm: 10.1346 2022-10-27 02:50:55,820 - mmdet - INFO - Epoch [48][250/1849] lr: 2.000e-05, eta: 0:30:28, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1014, loss_bbox: 0.6068, loss_iou: 0.9025, d0.loss_bbox: 0.6667, d0.loss_iou: 0.9807, d1.loss_bbox: 0.6410, d1.loss_iou: 0.9456, d2.loss_bbox: 0.6244, d2.loss_iou: 0.9247, d3.loss_bbox: 0.6134, d3.loss_iou: 0.9102, d4.loss_bbox: 0.6076, d4.loss_iou: 0.9037, loss: 12.4287, grad_norm: 9.5799 2022-10-27 02:51:13,361 - mmdet - INFO - Epoch [48][300/1849] lr: 2.000e-05, eta: 0:30:11, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1171, loss_bbox: 0.6039, loss_iou: 0.9016, d0.loss_bbox: 0.6633, d0.loss_iou: 0.9806, d1.loss_bbox: 0.6383, d1.loss_iou: 0.9445, d2.loss_bbox: 0.6224, d2.loss_iou: 0.9234, d3.loss_bbox: 0.6107, d3.loss_iou: 0.9095, d4.loss_bbox: 0.6046, d4.loss_iou: 0.9028, loss: 12.4228, grad_norm: 10.0872 2022-10-27 02:51:30,853 - mmdet - INFO - Epoch [48][350/1849] lr: 2.000e-05, eta: 0:29:53, time: 0.350, data_time: 0.010, memory: 4055, loss_contrastive: 3.1127, loss_bbox: 0.6055, loss_iou: 0.9014, d0.loss_bbox: 0.6645, d0.loss_iou: 0.9798, d1.loss_bbox: 0.6390, d1.loss_iou: 0.9452, d2.loss_bbox: 0.6232, d2.loss_iou: 0.9231, d3.loss_bbox: 0.6118, d3.loss_iou: 0.9098, d4.loss_bbox: 0.6064, d4.loss_iou: 0.9028, loss: 12.4251, grad_norm: 9.5660 2022-10-27 02:51:48,325 - mmdet - INFO - Epoch [48][400/1849] lr: 2.000e-05, eta: 0:29:36, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1092, loss_bbox: 0.6089, loss_iou: 0.9018, d0.loss_bbox: 0.6684, d0.loss_iou: 0.9798, d1.loss_bbox: 0.6428, d1.loss_iou: 0.9455, d2.loss_bbox: 0.6265, d2.loss_iou: 0.9239, d3.loss_bbox: 0.6153, d3.loss_iou: 0.9107, d4.loss_bbox: 0.6095, d4.loss_iou: 0.9033, loss: 12.4456, grad_norm: 10.9929 2022-10-27 02:52:05,680 - mmdet - INFO - Epoch [48][450/1849] lr: 2.000e-05, eta: 0:29:19, time: 0.347, data_time: 0.010, memory: 4055, loss_contrastive: 3.1146, loss_bbox: 0.6067, loss_iou: 0.8988, d0.loss_bbox: 0.6673, d0.loss_iou: 0.9773, d1.loss_bbox: 0.6415, d1.loss_iou: 0.9418, d2.loss_bbox: 0.6248, d2.loss_iou: 0.9211, d3.loss_bbox: 0.6135, d3.loss_iou: 0.9070, d4.loss_bbox: 0.6076, d4.loss_iou: 0.9000, loss: 12.4221, grad_norm: 9.8609 2022-10-27 02:52:23,416 - mmdet - INFO - Epoch [48][500/1849] lr: 2.000e-05, eta: 0:29:02, time: 0.355, data_time: 0.009, memory: 4055, loss_contrastive: 3.1120, loss_bbox: 0.6081, loss_iou: 0.9021, d0.loss_bbox: 0.6659, d0.loss_iou: 0.9799, d1.loss_bbox: 0.6407, d1.loss_iou: 0.9446, d2.loss_bbox: 0.6252, d2.loss_iou: 0.9236, d3.loss_bbox: 0.6143, d3.loss_iou: 0.9107, d4.loss_bbox: 0.6090, d4.loss_iou: 0.9034, loss: 12.4395, grad_norm: 10.0953 2022-10-27 02:52:40,691 - mmdet - INFO - Epoch [48][550/1849] lr: 2.000e-05, eta: 0:28:44, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1123, loss_bbox: 0.6073, loss_iou: 0.9042, d0.loss_bbox: 0.6664, d0.loss_iou: 0.9821, d1.loss_bbox: 0.6413, d1.loss_iou: 0.9473, d2.loss_bbox: 0.6248, d2.loss_iou: 0.9257, d3.loss_bbox: 0.6139, d3.loss_iou: 0.9124, d4.loss_bbox: 0.6079, d4.loss_iou: 0.9057, loss: 12.4514, grad_norm: 10.7703 2022-10-27 02:52:58,314 - mmdet - INFO - Epoch [48][600/1849] lr: 2.000e-05, eta: 0:28:27, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1082, loss_bbox: 0.6094, loss_iou: 0.9022, d0.loss_bbox: 0.6694, d0.loss_iou: 0.9796, d1.loss_bbox: 0.6431, d1.loss_iou: 0.9440, d2.loss_bbox: 0.6272, d2.loss_iou: 0.9227, d3.loss_bbox: 0.6164, d3.loss_iou: 0.9099, d4.loss_bbox: 0.6104, d4.loss_iou: 0.9035, loss: 12.4459, grad_norm: 9.7077 2022-10-27 02:53:15,626 - mmdet - INFO - Epoch [48][650/1849] lr: 2.000e-05, eta: 0:28:10, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1221, loss_bbox: 0.6117, loss_iou: 0.9030, d0.loss_bbox: 0.6707, d0.loss_iou: 0.9813, d1.loss_bbox: 0.6456, d1.loss_iou: 0.9445, d2.loss_bbox: 0.6292, d2.loss_iou: 0.9246, d3.loss_bbox: 0.6184, d3.loss_iou: 0.9109, d4.loss_bbox: 0.6126, d4.loss_iou: 0.9043, loss: 12.4791, grad_norm: 10.7631 2022-10-27 02:53:33,197 - mmdet - INFO - Epoch [48][700/1849] lr: 2.000e-05, eta: 0:27:53, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1071, loss_bbox: 0.6090, loss_iou: 0.9005, d0.loss_bbox: 0.6670, d0.loss_iou: 0.9786, d1.loss_bbox: 0.6418, d1.loss_iou: 0.9428, d2.loss_bbox: 0.6263, d2.loss_iou: 0.9219, d3.loss_bbox: 0.6157, d3.loss_iou: 0.9084, d4.loss_bbox: 0.6100, d4.loss_iou: 0.9018, loss: 12.4308, grad_norm: 9.9543 2022-10-27 02:53:50,434 - mmdet - INFO - Epoch [48][750/1849] lr: 2.000e-05, eta: 0:27:35, time: 0.345, data_time: 0.009, memory: 4055, loss_contrastive: 3.1123, loss_bbox: 0.6075, loss_iou: 0.8995, d0.loss_bbox: 0.6677, d0.loss_iou: 0.9793, d1.loss_bbox: 0.6411, d1.loss_iou: 0.9430, d2.loss_bbox: 0.6256, d2.loss_iou: 0.9219, d3.loss_bbox: 0.6144, d3.loss_iou: 0.9083, d4.loss_bbox: 0.6086, d4.loss_iou: 0.9008, loss: 12.4298, grad_norm: 10.5252 2022-10-27 02:54:07,942 - mmdet - INFO - Epoch [48][800/1849] lr: 2.000e-05, eta: 0:27:18, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1082, loss_bbox: 0.6072, loss_iou: 0.9034, d0.loss_bbox: 0.6668, d0.loss_iou: 0.9787, d1.loss_bbox: 0.6417, d1.loss_iou: 0.9457, d2.loss_bbox: 0.6253, d2.loss_iou: 0.9249, d3.loss_bbox: 0.6145, d3.loss_iou: 0.9116, d4.loss_bbox: 0.6084, d4.loss_iou: 0.9046, loss: 12.4410, grad_norm: 10.3090 2022-10-27 02:54:25,513 - mmdet - INFO - Epoch [48][850/1849] lr: 2.000e-05, eta: 0:27:01, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1135, loss_bbox: 0.6110, loss_iou: 0.9066, d0.loss_bbox: 0.6703, d0.loss_iou: 0.9828, d1.loss_bbox: 0.6449, d1.loss_iou: 0.9490, d2.loss_bbox: 0.6295, d2.loss_iou: 0.9281, d3.loss_bbox: 0.6179, d3.loss_iou: 0.9146, d4.loss_bbox: 0.6119, d4.loss_iou: 0.9077, loss: 12.4879, grad_norm: 9.7944 2022-10-27 02:54:42,980 - mmdet - INFO - Epoch [48][900/1849] lr: 2.000e-05, eta: 0:26:44, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1094, loss_bbox: 0.6089, loss_iou: 0.9018, d0.loss_bbox: 0.6682, d0.loss_iou: 0.9801, d1.loss_bbox: 0.6425, d1.loss_iou: 0.9450, d2.loss_bbox: 0.6261, d2.loss_iou: 0.9232, d3.loss_bbox: 0.6157, d3.loss_iou: 0.9102, d4.loss_bbox: 0.6098, d4.loss_iou: 0.9031, loss: 12.4439, grad_norm: 10.2206 2022-10-27 02:55:00,447 - mmdet - INFO - Epoch [48][950/1849] lr: 2.000e-05, eta: 0:26:26, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1070, loss_bbox: 0.6090, loss_iou: 0.9010, d0.loss_bbox: 0.6668, d0.loss_iou: 0.9785, d1.loss_bbox: 0.6412, d1.loss_iou: 0.9438, d2.loss_bbox: 0.6261, d2.loss_iou: 0.9227, d3.loss_bbox: 0.6154, d3.loss_iou: 0.9092, d4.loss_bbox: 0.6098, d4.loss_iou: 0.9022, loss: 12.4328, grad_norm: 9.3296 2022-10-27 02:55:17,688 - mmdet - INFO - Epoch [48][1000/1849] lr: 2.000e-05, eta: 0:26:09, time: 0.345, data_time: 0.010, memory: 4055, loss_contrastive: 3.1134, loss_bbox: 0.6098, loss_iou: 0.9039, d0.loss_bbox: 0.6689, d0.loss_iou: 0.9817, d1.loss_bbox: 0.6441, d1.loss_iou: 0.9468, d2.loss_bbox: 0.6277, d2.loss_iou: 0.9252, d3.loss_bbox: 0.6166, d3.loss_iou: 0.9118, d4.loss_bbox: 0.6110, d4.loss_iou: 0.9052, loss: 12.4660, grad_norm: 9.5728 2022-10-27 02:55:35,138 - mmdet - INFO - Epoch [48][1050/1849] lr: 2.000e-05, eta: 0:25:52, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1147, loss_bbox: 0.6081, loss_iou: 0.9010, d0.loss_bbox: 0.6667, d0.loss_iou: 0.9784, d1.loss_bbox: 0.6413, d1.loss_iou: 0.9445, d2.loss_bbox: 0.6256, d2.loss_iou: 0.9223, d3.loss_bbox: 0.6155, d3.loss_iou: 0.9093, d4.loss_bbox: 0.6087, d4.loss_iou: 0.9022, loss: 12.4381, grad_norm: 9.6582 2022-10-27 02:55:52,586 - mmdet - INFO - Epoch [48][1100/1849] lr: 2.000e-05, eta: 0:25:35, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1088, loss_bbox: 0.6058, loss_iou: 0.8976, d0.loss_bbox: 0.6654, d0.loss_iou: 0.9749, d1.loss_bbox: 0.6393, d1.loss_iou: 0.9395, d2.loss_bbox: 0.6235, d2.loss_iou: 0.9185, d3.loss_bbox: 0.6125, d3.loss_iou: 0.9052, d4.loss_bbox: 0.6067, d4.loss_iou: 0.8990, loss: 12.3968, grad_norm: 9.5102 2022-10-27 02:56:10,210 - mmdet - INFO - Epoch [48][1150/1849] lr: 2.000e-05, eta: 0:25:17, time: 0.352, data_time: 0.010, memory: 4055, loss_contrastive: 3.1091, loss_bbox: 0.6058, loss_iou: 0.9017, d0.loss_bbox: 0.6647, d0.loss_iou: 0.9798, d1.loss_bbox: 0.6392, d1.loss_iou: 0.9443, d2.loss_bbox: 0.6233, d2.loss_iou: 0.9233, d3.loss_bbox: 0.6127, d3.loss_iou: 0.9103, d4.loss_bbox: 0.6068, d4.loss_iou: 0.9029, loss: 12.4237, grad_norm: 11.7590 2022-10-27 02:56:27,840 - mmdet - INFO - Epoch [48][1200/1849] lr: 2.000e-05, eta: 0:25:00, time: 0.353, data_time: 0.010, memory: 4055, loss_contrastive: 3.1119, loss_bbox: 0.6099, loss_iou: 0.9011, d0.loss_bbox: 0.6681, d0.loss_iou: 0.9789, d1.loss_bbox: 0.6446, d1.loss_iou: 0.9449, d2.loss_bbox: 0.6284, d2.loss_iou: 0.9228, d3.loss_bbox: 0.6169, d3.loss_iou: 0.9099, d4.loss_bbox: 0.6107, d4.loss_iou: 0.9026, loss: 12.4507, grad_norm: 10.1709 2022-10-27 02:56:45,181 - mmdet - INFO - Epoch [48][1250/1849] lr: 2.000e-05, eta: 0:24:43, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1147, loss_bbox: 0.6107, loss_iou: 0.9036, d0.loss_bbox: 0.6704, d0.loss_iou: 0.9821, d1.loss_bbox: 0.6446, d1.loss_iou: 0.9463, d2.loss_bbox: 0.6286, d2.loss_iou: 0.9254, d3.loss_bbox: 0.6175, d3.loss_iou: 0.9119, d4.loss_bbox: 0.6115, d4.loss_iou: 0.9049, loss: 12.4722, grad_norm: 9.6365 2022-10-27 02:57:02,517 - mmdet - INFO - Epoch [48][1300/1849] lr: 2.000e-05, eta: 0:24:26, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1011, loss_bbox: 0.6055, loss_iou: 0.8986, d0.loss_bbox: 0.6652, d0.loss_iou: 0.9785, d1.loss_bbox: 0.6397, d1.loss_iou: 0.9422, d2.loss_bbox: 0.6236, d2.loss_iou: 0.9204, d3.loss_bbox: 0.6124, d3.loss_iou: 0.9074, d4.loss_bbox: 0.6063, d4.loss_iou: 0.8999, loss: 12.4009, grad_norm: 9.5872 2022-10-27 02:57:20,111 - mmdet - INFO - Epoch [48][1350/1849] lr: 2.000e-05, eta: 0:24:08, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1167, loss_bbox: 0.6067, loss_iou: 0.9004, d0.loss_bbox: 0.6657, d0.loss_iou: 0.9788, d1.loss_bbox: 0.6407, d1.loss_iou: 0.9431, d2.loss_bbox: 0.6245, d2.loss_iou: 0.9217, d3.loss_bbox: 0.6138, d3.loss_iou: 0.9087, d4.loss_bbox: 0.6072, d4.loss_iou: 0.9020, loss: 12.4301, grad_norm: 9.8724 2022-10-27 02:57:37,588 - mmdet - INFO - Epoch [48][1400/1849] lr: 2.000e-05, eta: 0:23:51, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1142, loss_bbox: 0.6068, loss_iou: 0.9001, d0.loss_bbox: 0.6671, d0.loss_iou: 0.9776, d1.loss_bbox: 0.6407, d1.loss_iou: 0.9420, d2.loss_bbox: 0.6250, d2.loss_iou: 0.9219, d3.loss_bbox: 0.6139, d3.loss_iou: 0.9086, d4.loss_bbox: 0.6075, d4.loss_iou: 0.9011, loss: 12.4265, grad_norm: 9.9885 2022-10-27 02:57:54,775 - mmdet - INFO - Epoch [48][1450/1849] lr: 2.000e-05, eta: 0:23:34, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1133, loss_bbox: 0.6120, loss_iou: 0.9051, d0.loss_bbox: 0.6706, d0.loss_iou: 0.9819, d1.loss_bbox: 0.6460, d1.loss_iou: 0.9479, d2.loss_bbox: 0.6298, d2.loss_iou: 0.9266, d3.loss_bbox: 0.6187, d3.loss_iou: 0.9137, d4.loss_bbox: 0.6127, d4.loss_iou: 0.9065, loss: 12.4848, grad_norm: 10.0174 2022-10-27 02:58:11,963 - mmdet - INFO - Epoch [48][1500/1849] lr: 2.000e-05, eta: 0:23:17, time: 0.344, data_time: 0.009, memory: 4055, loss_contrastive: 3.1132, loss_bbox: 0.6076, loss_iou: 0.9018, d0.loss_bbox: 0.6658, d0.loss_iou: 0.9794, d1.loss_bbox: 0.6400, d1.loss_iou: 0.9443, d2.loss_bbox: 0.6248, d2.loss_iou: 0.9233, d3.loss_bbox: 0.6140, d3.loss_iou: 0.9102, d4.loss_bbox: 0.6086, d4.loss_iou: 0.9032, loss: 12.4362, grad_norm: 10.7519 2022-10-27 02:58:29,269 - mmdet - INFO - Epoch [48][1550/1849] lr: 2.000e-05, eta: 0:22:59, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1127, loss_bbox: 0.6072, loss_iou: 0.8973, d0.loss_bbox: 0.6664, d0.loss_iou: 0.9750, d1.loss_bbox: 0.6409, d1.loss_iou: 0.9407, d2.loss_bbox: 0.6255, d2.loss_iou: 0.9193, d3.loss_bbox: 0.6142, d3.loss_iou: 0.9056, d4.loss_bbox: 0.6080, d4.loss_iou: 0.8986, loss: 12.4114, grad_norm: 9.6874 2022-10-27 02:58:46,671 - mmdet - INFO - Epoch [48][1600/1849] lr: 2.000e-05, eta: 0:22:42, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1177, loss_bbox: 0.6089, loss_iou: 0.9086, d0.loss_bbox: 0.6683, d0.loss_iou: 0.9869, d1.loss_bbox: 0.6433, d1.loss_iou: 0.9521, d2.loss_bbox: 0.6273, d2.loss_iou: 0.9307, d3.loss_bbox: 0.6158, d3.loss_iou: 0.9171, d4.loss_bbox: 0.6098, d4.loss_iou: 0.9102, loss: 12.4969, grad_norm: 12.0851 2022-10-27 02:59:04,062 - mmdet - INFO - Epoch [48][1650/1849] lr: 2.000e-05, eta: 0:22:25, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1133, loss_bbox: 0.6069, loss_iou: 0.8989, d0.loss_bbox: 0.6667, d0.loss_iou: 0.9776, d1.loss_bbox: 0.6408, d1.loss_iou: 0.9427, d2.loss_bbox: 0.6249, d2.loss_iou: 0.9213, d3.loss_bbox: 0.6138, d3.loss_iou: 0.9073, d4.loss_bbox: 0.6077, d4.loss_iou: 0.9004, loss: 12.4221, grad_norm: 9.7926 2022-10-27 02:59:21,383 - mmdet - INFO - Epoch [48][1700/1849] lr: 2.000e-05, eta: 0:22:08, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1199, loss_bbox: 0.6034, loss_iou: 0.9055, d0.loss_bbox: 0.6633, d0.loss_iou: 0.9852, d1.loss_bbox: 0.6374, d1.loss_iou: 0.9485, d2.loss_bbox: 0.6218, d2.loss_iou: 0.9273, d3.loss_bbox: 0.6103, d3.loss_iou: 0.9139, d4.loss_bbox: 0.6045, d4.loss_iou: 0.9068, loss: 12.4478, grad_norm: 10.5205 2022-10-27 02:59:38,838 - mmdet - INFO - Epoch [48][1750/1849] lr: 2.000e-05, eta: 0:21:50, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1200, loss_bbox: 0.6071, loss_iou: 0.9001, d0.loss_bbox: 0.6667, d0.loss_iou: 0.9778, d1.loss_bbox: 0.6408, d1.loss_iou: 0.9428, d2.loss_bbox: 0.6249, d2.loss_iou: 0.9216, d3.loss_bbox: 0.6138, d3.loss_iou: 0.9085, d4.loss_bbox: 0.6082, d4.loss_iou: 0.9016, loss: 12.4336, grad_norm: 9.9922 2022-10-27 02:59:56,313 - mmdet - INFO - Epoch [48][1800/1849] lr: 2.000e-05, eta: 0:21:33, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1127, loss_bbox: 0.6083, loss_iou: 0.9040, d0.loss_bbox: 0.6662, d0.loss_iou: 0.9813, d1.loss_bbox: 0.6419, d1.loss_iou: 0.9467, d2.loss_bbox: 0.6260, d2.loss_iou: 0.9256, d3.loss_bbox: 0.6149, d3.loss_iou: 0.9121, d4.loss_bbox: 0.6093, d4.loss_iou: 0.9055, loss: 12.4545, grad_norm: 9.5852 2022-10-27 03:00:13,791 - mmdet - INFO - Saving checkpoint at 48 epochs 2022-10-27 03:00:38,395 - mmdet - INFO - Epoch [49][50/1849] lr: 2.000e-05, eta: 0:20:58, time: 0.468, data_time: 0.069, memory: 4055, loss_contrastive: 3.1114, loss_bbox: 0.6043, loss_iou: 0.9002, d0.loss_bbox: 0.6645, d0.loss_iou: 0.9786, d1.loss_bbox: 0.6382, d1.loss_iou: 0.9432, d2.loss_bbox: 0.6219, d2.loss_iou: 0.9220, d3.loss_bbox: 0.6112, d3.loss_iou: 0.9084, d4.loss_bbox: 0.6053, d4.loss_iou: 0.9016, loss: 12.4109, grad_norm: 9.5553 2022-10-27 03:00:56,017 - mmdet - INFO - Epoch [49][100/1849] lr: 2.000e-05, eta: 0:20:41, time: 0.352, data_time: 0.008, memory: 4055, loss_contrastive: 3.1076, loss_bbox: 0.6074, loss_iou: 0.9034, d0.loss_bbox: 0.6684, d0.loss_iou: 0.9818, d1.loss_bbox: 0.6419, d1.loss_iou: 0.9461, d2.loss_bbox: 0.6257, d2.loss_iou: 0.9251, d3.loss_bbox: 0.6150, d3.loss_iou: 0.9121, d4.loss_bbox: 0.6083, d4.loss_iou: 0.9047, loss: 12.4476, grad_norm: 9.7040 2022-10-27 03:01:13,734 - mmdet - INFO - Epoch [49][150/1849] lr: 2.000e-05, eta: 0:20:24, time: 0.355, data_time: 0.009, memory: 4055, loss_contrastive: 3.1125, loss_bbox: 0.6079, loss_iou: 0.9011, d0.loss_bbox: 0.6673, d0.loss_iou: 0.9788, d1.loss_bbox: 0.6410, d1.loss_iou: 0.9426, d2.loss_bbox: 0.6253, d2.loss_iou: 0.9220, d3.loss_bbox: 0.6147, d3.loss_iou: 0.9088, d4.loss_bbox: 0.6089, d4.loss_iou: 0.9023, loss: 12.4332, grad_norm: 10.3802 2022-10-27 03:01:31,210 - mmdet - INFO - Epoch [49][200/1849] lr: 2.000e-05, eta: 0:20:07, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1145, loss_bbox: 0.6089, loss_iou: 0.9027, d0.loss_bbox: 0.6670, d0.loss_iou: 0.9806, d1.loss_bbox: 0.6431, d1.loss_iou: 0.9460, d2.loss_bbox: 0.6270, d2.loss_iou: 0.9244, d3.loss_bbox: 0.6157, d3.loss_iou: 0.9111, d4.loss_bbox: 0.6096, d4.loss_iou: 0.9041, loss: 12.4547, grad_norm: 9.6342 2022-10-27 03:01:48,848 - mmdet - INFO - Epoch [49][250/1849] lr: 2.000e-05, eta: 0:19:50, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1055, loss_bbox: 0.6072, loss_iou: 0.9013, d0.loss_bbox: 0.6667, d0.loss_iou: 0.9800, d1.loss_bbox: 0.6403, d1.loss_iou: 0.9441, d2.loss_bbox: 0.6243, d2.loss_iou: 0.9219, d3.loss_bbox: 0.6140, d3.loss_iou: 0.9091, d4.loss_bbox: 0.6080, d4.loss_iou: 0.9026, loss: 12.4250, grad_norm: 10.8767 2022-10-27 03:02:06,223 - mmdet - INFO - Epoch [49][300/1849] lr: 2.000e-05, eta: 0:19:32, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1053, loss_bbox: 0.6062, loss_iou: 0.9010, d0.loss_bbox: 0.6653, d0.loss_iou: 0.9789, d1.loss_bbox: 0.6402, d1.loss_iou: 0.9438, d2.loss_bbox: 0.6251, d2.loss_iou: 0.9234, d3.loss_bbox: 0.6137, d3.loss_iou: 0.9097, d4.loss_bbox: 0.6072, d4.loss_iou: 0.9024, loss: 12.4221, grad_norm: 9.9215 2022-10-27 03:02:23,645 - mmdet - INFO - Epoch [49][350/1849] lr: 2.000e-05, eta: 0:19:15, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1132, loss_bbox: 0.6066, loss_iou: 0.8963, d0.loss_bbox: 0.6655, d0.loss_iou: 0.9754, d1.loss_bbox: 0.6399, d1.loss_iou: 0.9391, d2.loss_bbox: 0.6241, d2.loss_iou: 0.9173, d3.loss_bbox: 0.6133, d3.loss_iou: 0.9044, d4.loss_bbox: 0.6074, d4.loss_iou: 0.8979, loss: 12.4003, grad_norm: 11.2620 2022-10-27 03:02:41,312 - mmdet - INFO - Epoch [49][400/1849] lr: 2.000e-05, eta: 0:18:58, time: 0.354, data_time: 0.009, memory: 4055, loss_contrastive: 3.1158, loss_bbox: 0.6100, loss_iou: 0.9004, d0.loss_bbox: 0.6680, d0.loss_iou: 0.9787, d1.loss_bbox: 0.6439, d1.loss_iou: 0.9440, d2.loss_bbox: 0.6277, d2.loss_iou: 0.9221, d3.loss_bbox: 0.6164, d3.loss_iou: 0.9093, d4.loss_bbox: 0.6109, d4.loss_iou: 0.9016, loss: 12.4487, grad_norm: 10.7558 2022-10-27 03:02:58,944 - mmdet - INFO - Epoch [49][450/1849] lr: 2.000e-05, eta: 0:18:41, time: 0.353, data_time: 0.009, memory: 4055, loss_contrastive: 3.1159, loss_bbox: 0.6062, loss_iou: 0.9023, d0.loss_bbox: 0.6656, d0.loss_iou: 0.9815, d1.loss_bbox: 0.6411, d1.loss_iou: 0.9463, d2.loss_bbox: 0.6244, d2.loss_iou: 0.9242, d3.loss_bbox: 0.6128, d3.loss_iou: 0.9110, d4.loss_bbox: 0.6073, d4.loss_iou: 0.9036, loss: 12.4422, grad_norm: 9.7491 2022-10-27 03:03:16,649 - mmdet - INFO - Epoch [49][500/1849] lr: 2.000e-05, eta: 0:18:23, time: 0.354, data_time: 0.008, memory: 4055, loss_contrastive: 3.1154, loss_bbox: 0.6069, loss_iou: 0.9006, d0.loss_bbox: 0.6661, d0.loss_iou: 0.9789, d1.loss_bbox: 0.6412, d1.loss_iou: 0.9434, d2.loss_bbox: 0.6247, d2.loss_iou: 0.9228, d3.loss_bbox: 0.6136, d3.loss_iou: 0.9088, d4.loss_bbox: 0.6077, d4.loss_iou: 0.9019, loss: 12.4321, grad_norm: 9.3871 2022-10-27 03:03:33,988 - mmdet - INFO - Epoch [49][550/1849] lr: 2.000e-05, eta: 0:18:06, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1168, loss_bbox: 0.6077, loss_iou: 0.8983, d0.loss_bbox: 0.6679, d0.loss_iou: 0.9767, d1.loss_bbox: 0.6415, d1.loss_iou: 0.9404, d2.loss_bbox: 0.6256, d2.loss_iou: 0.9196, d3.loss_bbox: 0.6146, d3.loss_iou: 0.9062, d4.loss_bbox: 0.6086, d4.loss_iou: 0.8996, loss: 12.4235, grad_norm: 9.7194 2022-10-27 03:03:51,303 - mmdet - INFO - Epoch [49][600/1849] lr: 2.000e-05, eta: 0:17:49, time: 0.346, data_time: 0.008, memory: 4055, loss_contrastive: 3.1196, loss_bbox: 0.6063, loss_iou: 0.8982, d0.loss_bbox: 0.6664, d0.loss_iou: 0.9767, d1.loss_bbox: 0.6414, d1.loss_iou: 0.9417, d2.loss_bbox: 0.6248, d2.loss_iou: 0.9202, d3.loss_bbox: 0.6135, d3.loss_iou: 0.9069, d4.loss_bbox: 0.6074, d4.loss_iou: 0.8996, loss: 12.4227, grad_norm: 9.8470 2022-10-27 03:04:08,808 - mmdet - INFO - Epoch [49][650/1849] lr: 2.000e-05, eta: 0:17:32, time: 0.350, data_time: 0.008, memory: 4055, loss_contrastive: 3.1159, loss_bbox: 0.6082, loss_iou: 0.9043, d0.loss_bbox: 0.6667, d0.loss_iou: 0.9819, d1.loss_bbox: 0.6418, d1.loss_iou: 0.9471, d2.loss_bbox: 0.6258, d2.loss_iou: 0.9256, d3.loss_bbox: 0.6145, d3.loss_iou: 0.9128, d4.loss_bbox: 0.6088, d4.loss_iou: 0.9054, loss: 12.4588, grad_norm: 9.9416 2022-10-27 03:04:26,368 - mmdet - INFO - Epoch [49][700/1849] lr: 2.000e-05, eta: 0:17:14, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1106, loss_bbox: 0.6060, loss_iou: 0.9034, d0.loss_bbox: 0.6652, d0.loss_iou: 0.9805, d1.loss_bbox: 0.6401, d1.loss_iou: 0.9461, d2.loss_bbox: 0.6240, d2.loss_iou: 0.9246, d3.loss_bbox: 0.6129, d3.loss_iou: 0.9117, d4.loss_bbox: 0.6067, d4.loss_iou: 0.9049, loss: 12.4367, grad_norm: 10.0708 2022-10-27 03:04:43,801 - mmdet - INFO - Epoch [49][750/1849] lr: 2.000e-05, eta: 0:16:57, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1085, loss_bbox: 0.6060, loss_iou: 0.9018, d0.loss_bbox: 0.6651, d0.loss_iou: 0.9800, d1.loss_bbox: 0.6398, d1.loss_iou: 0.9446, d2.loss_bbox: 0.6236, d2.loss_iou: 0.9234, d3.loss_bbox: 0.6124, d3.loss_iou: 0.9103, d4.loss_bbox: 0.6068, d4.loss_iou: 0.9032, loss: 12.4256, grad_norm: 9.9748 2022-10-27 03:05:01,114 - mmdet - INFO - Epoch [49][800/1849] lr: 2.000e-05, eta: 0:16:40, time: 0.346, data_time: 0.008, memory: 4055, loss_contrastive: 3.1133, loss_bbox: 0.6086, loss_iou: 0.9021, d0.loss_bbox: 0.6673, d0.loss_iou: 0.9791, d1.loss_bbox: 0.6425, d1.loss_iou: 0.9441, d2.loss_bbox: 0.6263, d2.loss_iou: 0.9232, d3.loss_bbox: 0.6153, d3.loss_iou: 0.9100, d4.loss_bbox: 0.6093, d4.loss_iou: 0.9034, loss: 12.4444, grad_norm: 10.7054 2022-10-27 03:05:18,396 - mmdet - INFO - Epoch [49][850/1849] lr: 2.000e-05, eta: 0:16:23, time: 0.346, data_time: 0.009, memory: 4055, loss_contrastive: 3.1107, loss_bbox: 0.6053, loss_iou: 0.8996, d0.loss_bbox: 0.6647, d0.loss_iou: 0.9787, d1.loss_bbox: 0.6393, d1.loss_iou: 0.9426, d2.loss_bbox: 0.6231, d2.loss_iou: 0.9213, d3.loss_bbox: 0.6121, d3.loss_iou: 0.9077, d4.loss_bbox: 0.6059, d4.loss_iou: 0.9011, loss: 12.4121, grad_norm: 10.1625 2022-10-27 03:05:35,812 - mmdet - INFO - Epoch [49][900/1849] lr: 2.000e-05, eta: 0:16:05, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1115, loss_bbox: 0.6071, loss_iou: 0.9029, d0.loss_bbox: 0.6666, d0.loss_iou: 0.9795, d1.loss_bbox: 0.6407, d1.loss_iou: 0.9461, d2.loss_bbox: 0.6253, d2.loss_iou: 0.9238, d3.loss_bbox: 0.6138, d3.loss_iou: 0.9111, d4.loss_bbox: 0.6078, d4.loss_iou: 0.9042, loss: 12.4407, grad_norm: 9.8705 2022-10-27 03:05:53,347 - mmdet - INFO - Epoch [49][950/1849] lr: 2.000e-05, eta: 0:15:48, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1101, loss_bbox: 0.6068, loss_iou: 0.9008, d0.loss_bbox: 0.6674, d0.loss_iou: 0.9779, d1.loss_bbox: 0.6410, d1.loss_iou: 0.9430, d2.loss_bbox: 0.6249, d2.loss_iou: 0.9223, d3.loss_bbox: 0.6135, d3.loss_iou: 0.9091, d4.loss_bbox: 0.6075, d4.loss_iou: 0.9023, loss: 12.4268, grad_norm: 10.2195 2022-10-27 03:06:10,845 - mmdet - INFO - Epoch [49][1000/1849] lr: 2.000e-05, eta: 0:15:31, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1079, loss_bbox: 0.6084, loss_iou: 0.9011, d0.loss_bbox: 0.6668, d0.loss_iou: 0.9784, d1.loss_bbox: 0.6427, d1.loss_iou: 0.9434, d2.loss_bbox: 0.6262, d2.loss_iou: 0.9229, d3.loss_bbox: 0.6151, d3.loss_iou: 0.9093, d4.loss_bbox: 0.6094, d4.loss_iou: 0.9027, loss: 12.4344, grad_norm: 11.5091 2022-10-27 03:06:28,421 - mmdet - INFO - Epoch [49][1050/1849] lr: 2.000e-05, eta: 0:15:14, time: 0.351, data_time: 0.008, memory: 4055, loss_contrastive: 3.1125, loss_bbox: 0.6057, loss_iou: 0.9018, d0.loss_bbox: 0.6649, d0.loss_iou: 0.9801, d1.loss_bbox: 0.6399, d1.loss_iou: 0.9446, d2.loss_bbox: 0.6233, d2.loss_iou: 0.9239, d3.loss_bbox: 0.6125, d3.loss_iou: 0.9102, d4.loss_bbox: 0.6066, d4.loss_iou: 0.9031, loss: 12.4288, grad_norm: 10.5670 2022-10-27 03:06:46,007 - mmdet - INFO - Epoch [49][1100/1849] lr: 2.000e-05, eta: 0:14:56, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1116, loss_bbox: 0.6080, loss_iou: 0.9015, d0.loss_bbox: 0.6655, d0.loss_iou: 0.9790, d1.loss_bbox: 0.6404, d1.loss_iou: 0.9436, d2.loss_bbox: 0.6245, d2.loss_iou: 0.9226, d3.loss_bbox: 0.6145, d3.loss_iou: 0.9096, d4.loss_bbox: 0.6089, d4.loss_iou: 0.9029, loss: 12.4326, grad_norm: 9.7188 2022-10-27 03:07:03,476 - mmdet - INFO - Epoch [49][1150/1849] lr: 2.000e-05, eta: 0:14:39, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1147, loss_bbox: 0.6067, loss_iou: 0.8994, d0.loss_bbox: 0.6676, d0.loss_iou: 0.9796, d1.loss_bbox: 0.6414, d1.loss_iou: 0.9433, d2.loss_bbox: 0.6245, d2.loss_iou: 0.9214, d3.loss_bbox: 0.6134, d3.loss_iou: 0.9078, d4.loss_bbox: 0.6075, d4.loss_iou: 0.9008, loss: 12.4280, grad_norm: 17.8758 2022-10-27 03:07:20,629 - mmdet - INFO - Epoch [49][1200/1849] lr: 2.000e-05, eta: 0:14:22, time: 0.343, data_time: 0.008, memory: 4055, loss_contrastive: 3.1118, loss_bbox: 0.6055, loss_iou: 0.9027, d0.loss_bbox: 0.6646, d0.loss_iou: 0.9804, d1.loss_bbox: 0.6385, d1.loss_iou: 0.9455, d2.loss_bbox: 0.6236, d2.loss_iou: 0.9244, d3.loss_bbox: 0.6129, d3.loss_iou: 0.9108, d4.loss_bbox: 0.6064, d4.loss_iou: 0.9040, loss: 12.4310, grad_norm: 10.6513 2022-10-27 03:07:37,994 - mmdet - INFO - Epoch [49][1250/1849] lr: 2.000e-05, eta: 0:14:04, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1122, loss_bbox: 0.6074, loss_iou: 0.8990, d0.loss_bbox: 0.6653, d0.loss_iou: 0.9765, d1.loss_bbox: 0.6406, d1.loss_iou: 0.9421, d2.loss_bbox: 0.6245, d2.loss_iou: 0.9206, d3.loss_bbox: 0.6140, d3.loss_iou: 0.9072, d4.loss_bbox: 0.6081, d4.loss_iou: 0.9003, loss: 12.4177, grad_norm: 11.1757 2022-10-27 03:07:55,372 - mmdet - INFO - Epoch [49][1300/1849] lr: 2.000e-05, eta: 0:13:47, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1096, loss_bbox: 0.6070, loss_iou: 0.8993, d0.loss_bbox: 0.6661, d0.loss_iou: 0.9778, d1.loss_bbox: 0.6407, d1.loss_iou: 0.9430, d2.loss_bbox: 0.6247, d2.loss_iou: 0.9220, d3.loss_bbox: 0.6135, d3.loss_iou: 0.9079, d4.loss_bbox: 0.6079, d4.loss_iou: 0.9007, loss: 12.4201, grad_norm: 9.7020 2022-10-27 03:08:12,651 - mmdet - INFO - Epoch [49][1350/1849] lr: 2.000e-05, eta: 0:13:30, time: 0.346, data_time: 0.008, memory: 4055, loss_contrastive: 3.1173, loss_bbox: 0.6092, loss_iou: 0.9014, d0.loss_bbox: 0.6682, d0.loss_iou: 0.9782, d1.loss_bbox: 0.6426, d1.loss_iou: 0.9436, d2.loss_bbox: 0.6271, d2.loss_iou: 0.9228, d3.loss_bbox: 0.6156, d3.loss_iou: 0.9098, d4.loss_bbox: 0.6101, d4.loss_iou: 0.9029, loss: 12.4487, grad_norm: 10.2614 2022-10-27 03:08:30,618 - mmdet - INFO - Epoch [49][1400/1849] lr: 2.000e-05, eta: 0:13:13, time: 0.359, data_time: 0.008, memory: 4055, loss_contrastive: 3.1170, loss_bbox: 0.6078, loss_iou: 0.9028, d0.loss_bbox: 0.6679, d0.loss_iou: 0.9809, d1.loss_bbox: 0.6414, d1.loss_iou: 0.9455, d2.loss_bbox: 0.6255, d2.loss_iou: 0.9237, d3.loss_bbox: 0.6141, d3.loss_iou: 0.9104, d4.loss_bbox: 0.6087, d4.loss_iou: 0.9040, loss: 12.4495, grad_norm: 10.9320 2022-10-27 03:08:48,065 - mmdet - INFO - Epoch [49][1450/1849] lr: 2.000e-05, eta: 0:12:55, time: 0.349, data_time: 0.008, memory: 4055, loss_contrastive: 3.1178, loss_bbox: 0.6105, loss_iou: 0.8996, d0.loss_bbox: 0.6697, d0.loss_iou: 0.9771, d1.loss_bbox: 0.6454, d1.loss_iou: 0.9419, d2.loss_bbox: 0.6285, d2.loss_iou: 0.9212, d3.loss_bbox: 0.6171, d3.loss_iou: 0.9081, d4.loss_bbox: 0.6115, d4.loss_iou: 0.9009, loss: 12.4493, grad_norm: 9.6506 2022-10-27 03:09:05,457 - mmdet - INFO - Epoch [49][1500/1849] lr: 2.000e-05, eta: 0:12:38, time: 0.348, data_time: 0.009, memory: 4055, loss_contrastive: 3.1111, loss_bbox: 0.6083, loss_iou: 0.9014, d0.loss_bbox: 0.6665, d0.loss_iou: 0.9776, d1.loss_bbox: 0.6412, d1.loss_iou: 0.9433, d2.loss_bbox: 0.6264, d2.loss_iou: 0.9224, d3.loss_bbox: 0.6154, d3.loss_iou: 0.9099, d4.loss_bbox: 0.6091, d4.loss_iou: 0.9025, loss: 12.4352, grad_norm: 11.4615 2022-10-27 03:09:22,809 - mmdet - INFO - Epoch [49][1550/1849] lr: 2.000e-05, eta: 0:12:21, time: 0.347, data_time: 0.008, memory: 4055, loss_contrastive: 3.1181, loss_bbox: 0.6064, loss_iou: 0.9014, d0.loss_bbox: 0.6656, d0.loss_iou: 0.9789, d1.loss_bbox: 0.6403, d1.loss_iou: 0.9441, d2.loss_bbox: 0.6245, d2.loss_iou: 0.9234, d3.loss_bbox: 0.6131, d3.loss_iou: 0.9100, d4.loss_bbox: 0.6073, d4.loss_iou: 0.9027, loss: 12.4358, grad_norm: 10.0284 2022-10-27 03:09:40,197 - mmdet - INFO - Epoch [49][1600/1849] lr: 2.000e-05, eta: 0:12:04, time: 0.348, data_time: 0.008, memory: 4055, loss_contrastive: 3.1080, loss_bbox: 0.6073, loss_iou: 0.9044, d0.loss_bbox: 0.6674, d0.loss_iou: 0.9821, d1.loss_bbox: 0.6411, d1.loss_iou: 0.9463, d2.loss_bbox: 0.6249, d2.loss_iou: 0.9254, d3.loss_bbox: 0.6140, d3.loss_iou: 0.9124, d4.loss_bbox: 0.6082, d4.loss_iou: 0.9056, loss: 12.4469, grad_norm: 10.1219 2022-10-27 03:09:57,806 - mmdet - INFO - Epoch [49][1650/1849] lr: 2.000e-05, eta: 0:11:46, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1142, loss_bbox: 0.6102, loss_iou: 0.9011, d0.loss_bbox: 0.6690, d0.loss_iou: 0.9794, d1.loss_bbox: 0.6430, d1.loss_iou: 0.9432, d2.loss_bbox: 0.6282, d2.loss_iou: 0.9226, d3.loss_bbox: 0.6169, d3.loss_iou: 0.9094, d4.loss_bbox: 0.6110, d4.loss_iou: 0.9025, loss: 12.4506, grad_norm: 9.4128 2022-10-27 03:10:15,511 - mmdet - INFO - Epoch [49][1700/1849] lr: 2.000e-05, eta: 0:11:29, time: 0.354, data_time: 0.008, memory: 4055, loss_contrastive: 3.1142, loss_bbox: 0.6093, loss_iou: 0.9023, d0.loss_bbox: 0.6682, d0.loss_iou: 0.9799, d1.loss_bbox: 0.6425, d1.loss_iou: 0.9449, d2.loss_bbox: 0.6269, d2.loss_iou: 0.9239, d3.loss_bbox: 0.6164, d3.loss_iou: 0.9105, d4.loss_bbox: 0.6106, d4.loss_iou: 0.9037, loss: 12.4532, grad_norm: 11.6096 2022-10-27 03:10:33,038 - mmdet - INFO - Epoch [49][1750/1849] lr: 2.000e-05, eta: 0:11:12, time: 0.351, data_time: 0.009, memory: 4055, loss_contrastive: 3.1086, loss_bbox: 0.6080, loss_iou: 0.9020, d0.loss_bbox: 0.6659, d0.loss_iou: 0.9779, d1.loss_bbox: 0.6402, d1.loss_iou: 0.9437, d2.loss_bbox: 0.6248, d2.loss_iou: 0.9237, d3.loss_bbox: 0.6145, d3.loss_iou: 0.9099, d4.loss_bbox: 0.6090, d4.loss_iou: 0.9031, loss: 12.4314, grad_norm: 11.0313 2022-10-27 03:10:50,494 - mmdet - INFO - Epoch [49][1800/1849] lr: 2.000e-05, eta: 0:10:55, time: 0.349, data_time: 0.009, memory: 4055, loss_contrastive: 3.1097, loss_bbox: 0.6068, loss_iou: 0.9022, d0.loss_bbox: 0.6664, d0.loss_iou: 0.9808, d1.loss_bbox: 0.6411, d1.loss_iou: 0.9457, d2.loss_bbox: 0.6250, d2.loss_iou: 0.9243, d3.loss_bbox: 0.6134, d3.loss_iou: 0.9104, d4.loss_bbox: 0.6078, d4.loss_iou: 0.9035, loss: 12.4371, grad_norm: 10.4166 2022-10-27 03:11:07,936 - mmdet - INFO - Saving checkpoint at 49 epochs 2022-10-27 03:11:33,505 - mmdet - INFO - Epoch [50][50/1849] lr: 2.000e-05, eta: 0:10:20, time: 0.486, data_time: 0.071, memory: 4055, loss_contrastive: 3.1140, loss_bbox: 0.6067, loss_iou: 0.8985, d0.loss_bbox: 0.6656, d0.loss_iou: 0.9770, d1.loss_bbox: 0.6402, d1.loss_iou: 0.9412, d2.loss_bbox: 0.6237, d2.loss_iou: 0.9191, d3.loss_bbox: 0.6131, d3.loss_iou: 0.9064, d4.loss_bbox: 0.6076, d4.loss_iou: 0.8999, loss: 12.4128, grad_norm: 10.3404 2022-10-27 03:11:51,060 - mmdet - INFO - Epoch [50][100/1849] lr: 2.000e-05, eta: 0:10:03, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1069, loss_bbox: 0.6065, loss_iou: 0.9038, d0.loss_bbox: 0.6656, d0.loss_iou: 0.9818, d1.loss_bbox: 0.6405, d1.loss_iou: 0.9468, d2.loss_bbox: 0.6246, d2.loss_iou: 0.9252, d3.loss_bbox: 0.6134, d3.loss_iou: 0.9122, d4.loss_bbox: 0.6073, d4.loss_iou: 0.9051, loss: 12.4395, grad_norm: 10.2254 2022-10-27 03:12:17,363 - mmdet - INFO - Epoch [50][150/1849] lr: 2.000e-05, eta: 0:09:46, time: 0.526, data_time: 0.010, memory: 4055, loss_contrastive: 3.1154, loss_bbox: 0.6043, loss_iou: 0.9012, d0.loss_bbox: 0.6640, d0.loss_iou: 0.9805, d1.loss_bbox: 0.6395, d1.loss_iou: 0.9441, d2.loss_bbox: 0.6224, d2.loss_iou: 0.9223, d3.loss_bbox: 0.6117, d3.loss_iou: 0.9096, d4.loss_bbox: 0.6054, d4.loss_iou: 0.9026, loss: 12.4227, grad_norm: 10.0131 2022-10-27 03:12:37,298 - mmdet - INFO - Epoch [50][200/1849] lr: 2.000e-05, eta: 0:09:29, time: 0.399, data_time: 0.010, memory: 4055, loss_contrastive: 3.1104, loss_bbox: 0.6088, loss_iou: 0.8995, d0.loss_bbox: 0.6672, d0.loss_iou: 0.9764, d1.loss_bbox: 0.6417, d1.loss_iou: 0.9417, d2.loss_bbox: 0.6262, d2.loss_iou: 0.9207, d3.loss_bbox: 0.6150, d3.loss_iou: 0.9073, d4.loss_bbox: 0.6094, d4.loss_iou: 0.9008, loss: 12.4251, grad_norm: 10.2623 2022-10-27 03:13:06,079 - mmdet - INFO - Epoch [50][250/1849] lr: 2.000e-05, eta: 0:09:12, time: 0.576, data_time: 0.010, memory: 4055, loss_contrastive: 3.1161, loss_bbox: 0.6054, loss_iou: 0.8954, d0.loss_bbox: 0.6649, d0.loss_iou: 0.9746, d1.loss_bbox: 0.6393, d1.loss_iou: 0.9391, d2.loss_bbox: 0.6232, d2.loss_iou: 0.9173, d3.loss_bbox: 0.6120, d3.loss_iou: 0.9036, d4.loss_bbox: 0.6062, d4.loss_iou: 0.8969, loss: 12.3939, grad_norm: 10.6254 2022-10-27 03:13:31,196 - mmdet - INFO - Epoch [50][300/1849] lr: 2.000e-05, eta: 0:08:55, time: 0.502, data_time: 0.010, memory: 4055, loss_contrastive: 3.1122, loss_bbox: 0.6097, loss_iou: 0.9053, d0.loss_bbox: 0.6688, d0.loss_iou: 0.9838, d1.loss_bbox: 0.6431, d1.loss_iou: 0.9482, d2.loss_bbox: 0.6273, d2.loss_iou: 0.9269, d3.loss_bbox: 0.6163, d3.loss_iou: 0.9133, d4.loss_bbox: 0.6104, d4.loss_iou: 0.9066, loss: 12.4720, grad_norm: 9.8964 2022-10-27 03:13:53,160 - mmdet - INFO - Epoch [50][350/1849] lr: 2.000e-05, eta: 0:08:37, time: 0.439, data_time: 0.010, memory: 4055, loss_contrastive: 3.1153, loss_bbox: 0.6075, loss_iou: 0.8985, d0.loss_bbox: 0.6678, d0.loss_iou: 0.9760, d1.loss_bbox: 0.6420, d1.loss_iou: 0.9419, d2.loss_bbox: 0.6261, d2.loss_iou: 0.9207, d3.loss_bbox: 0.6143, d3.loss_iou: 0.9072, d4.loss_bbox: 0.6086, d4.loss_iou: 0.8997, loss: 12.4257, grad_norm: 13.4871 2022-10-27 03:14:12,814 - mmdet - INFO - Epoch [50][400/1849] lr: 2.000e-05, eta: 0:08:20, time: 0.393, data_time: 0.010, memory: 4055, loss_contrastive: 3.1142, loss_bbox: 0.6079, loss_iou: 0.8998, d0.loss_bbox: 0.6671, d0.loss_iou: 0.9775, d1.loss_bbox: 0.6418, d1.loss_iou: 0.9426, d2.loss_bbox: 0.6255, d2.loss_iou: 0.9211, d3.loss_bbox: 0.6143, d3.loss_iou: 0.9081, d4.loss_bbox: 0.6087, d4.loss_iou: 0.9013, loss: 12.4299, grad_norm: 9.4523 2022-10-27 03:14:35,141 - mmdet - INFO - Epoch [50][450/1849] lr: 2.000e-05, eta: 0:08:03, time: 0.446, data_time: 0.010, memory: 4055, loss_contrastive: 3.1145, loss_bbox: 0.6039, loss_iou: 0.9001, d0.loss_bbox: 0.6642, d0.loss_iou: 0.9776, d1.loss_bbox: 0.6380, d1.loss_iou: 0.9430, d2.loss_bbox: 0.6218, d2.loss_iou: 0.9217, d3.loss_bbox: 0.6111, d3.loss_iou: 0.9084, d4.loss_bbox: 0.6048, d4.loss_iou: 0.9014, loss: 12.4105, grad_norm: 9.5155 2022-10-27 03:14:54,954 - mmdet - INFO - Epoch [50][500/1849] lr: 2.000e-05, eta: 0:07:46, time: 0.396, data_time: 0.009, memory: 4055, loss_contrastive: 3.1131, loss_bbox: 0.6073, loss_iou: 0.8952, d0.loss_bbox: 0.6675, d0.loss_iou: 0.9740, d1.loss_bbox: 0.6405, d1.loss_iou: 0.9373, d2.loss_bbox: 0.6249, d2.loss_iou: 0.9160, d3.loss_bbox: 0.6141, d3.loss_iou: 0.9032, d4.loss_bbox: 0.6081, d4.loss_iou: 0.8967, loss: 12.3980, grad_norm: 11.2598 2022-10-27 03:15:14,672 - mmdet - INFO - Epoch [50][550/1849] lr: 2.000e-05, eta: 0:07:28, time: 0.394, data_time: 0.010, memory: 4055, loss_contrastive: 3.1190, loss_bbox: 0.6063, loss_iou: 0.9011, d0.loss_bbox: 0.6652, d0.loss_iou: 0.9798, d1.loss_bbox: 0.6406, d1.loss_iou: 0.9450, d2.loss_bbox: 0.6244, d2.loss_iou: 0.9235, d3.loss_bbox: 0.6129, d3.loss_iou: 0.9094, d4.loss_bbox: 0.6070, d4.loss_iou: 0.9025, loss: 12.4368, grad_norm: 10.5183 2022-10-27 03:15:36,715 - mmdet - INFO - Epoch [50][600/1849] lr: 2.000e-05, eta: 0:07:11, time: 0.441, data_time: 0.010, memory: 4055, loss_contrastive: 3.1162, loss_bbox: 0.6085, loss_iou: 0.9043, d0.loss_bbox: 0.6671, d0.loss_iou: 0.9811, d1.loss_bbox: 0.6419, d1.loss_iou: 0.9474, d2.loss_bbox: 0.6262, d2.loss_iou: 0.9257, d3.loss_bbox: 0.6147, d3.loss_iou: 0.9130, d4.loss_bbox: 0.6093, d4.loss_iou: 0.9056, loss: 12.4608, grad_norm: 10.2144 2022-10-27 03:16:00,884 - mmdet - INFO - Epoch [50][650/1849] lr: 2.000e-05, eta: 0:06:54, time: 0.483, data_time: 0.010, memory: 4055, loss_contrastive: 3.1107, loss_bbox: 0.6076, loss_iou: 0.9024, d0.loss_bbox: 0.6670, d0.loss_iou: 0.9806, d1.loss_bbox: 0.6405, d1.loss_iou: 0.9443, d2.loss_bbox: 0.6244, d2.loss_iou: 0.9230, d3.loss_bbox: 0.6144, d3.loss_iou: 0.9107, d4.loss_bbox: 0.6086, d4.loss_iou: 0.9040, loss: 12.4384, grad_norm: 10.0812 2022-10-27 03:16:18,585 - mmdet - INFO - Epoch [50][700/1849] lr: 2.000e-05, eta: 0:06:37, time: 0.354, data_time: 0.010, memory: 4055, loss_contrastive: 3.1071, loss_bbox: 0.6086, loss_iou: 0.9005, d0.loss_bbox: 0.6681, d0.loss_iou: 0.9779, d1.loss_bbox: 0.6422, d1.loss_iou: 0.9436, d2.loss_bbox: 0.6261, d2.loss_iou: 0.9218, d3.loss_bbox: 0.6151, d3.loss_iou: 0.9085, d4.loss_bbox: 0.6093, d4.loss_iou: 0.9020, loss: 12.4308, grad_norm: 9.6680 2022-10-27 03:16:36,138 - mmdet - INFO - Epoch [50][750/1849] lr: 2.000e-05, eta: 0:06:19, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1174, loss_bbox: 0.6074, loss_iou: 0.8998, d0.loss_bbox: 0.6673, d0.loss_iou: 0.9776, d1.loss_bbox: 0.6422, d1.loss_iou: 0.9440, d2.loss_bbox: 0.6260, d2.loss_iou: 0.9222, d3.loss_bbox: 0.6148, d3.loss_iou: 0.9084, d4.loss_bbox: 0.6083, d4.loss_iou: 0.9010, loss: 12.4363, grad_norm: 10.6679 2022-10-27 03:16:53,377 - mmdet - INFO - Epoch [50][800/1849] lr: 2.000e-05, eta: 0:06:02, time: 0.345, data_time: 0.010, memory: 4055, loss_contrastive: 3.1125, loss_bbox: 0.6066, loss_iou: 0.9021, d0.loss_bbox: 0.6674, d0.loss_iou: 0.9805, d1.loss_bbox: 0.6414, d1.loss_iou: 0.9448, d2.loss_bbox: 0.6248, d2.loss_iou: 0.9236, d3.loss_bbox: 0.6138, d3.loss_iou: 0.9100, d4.loss_bbox: 0.6075, d4.loss_iou: 0.9036, loss: 12.4386, grad_norm: 10.4732 2022-10-27 03:17:10,859 - mmdet - INFO - Epoch [50][850/1849] lr: 2.000e-05, eta: 0:05:45, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1106, loss_bbox: 0.6071, loss_iou: 0.9007, d0.loss_bbox: 0.6670, d0.loss_iou: 0.9784, d1.loss_bbox: 0.6409, d1.loss_iou: 0.9435, d2.loss_bbox: 0.6244, d2.loss_iou: 0.9226, d3.loss_bbox: 0.6135, d3.loss_iou: 0.9094, d4.loss_bbox: 0.6077, d4.loss_iou: 0.9021, loss: 12.4278, grad_norm: 9.8072 2022-10-27 03:17:28,038 - mmdet - INFO - Epoch [50][900/1849] lr: 2.000e-05, eta: 0:05:28, time: 0.343, data_time: 0.010, memory: 4055, loss_contrastive: 3.1132, loss_bbox: 0.6069, loss_iou: 0.9010, d0.loss_bbox: 0.6655, d0.loss_iou: 0.9780, d1.loss_bbox: 0.6396, d1.loss_iou: 0.9439, d2.loss_bbox: 0.6244, d2.loss_iou: 0.9226, d3.loss_bbox: 0.6135, d3.loss_iou: 0.9092, d4.loss_bbox: 0.6078, d4.loss_iou: 0.9021, loss: 12.4277, grad_norm: 10.2629 2022-10-27 03:17:53,034 - mmdet - INFO - Epoch [50][950/1849] lr: 2.000e-05, eta: 0:05:10, time: 0.500, data_time: 0.010, memory: 4055, loss_contrastive: 3.1122, loss_bbox: 0.6064, loss_iou: 0.9015, d0.loss_bbox: 0.6656, d0.loss_iou: 0.9797, d1.loss_bbox: 0.6405, d1.loss_iou: 0.9446, d2.loss_bbox: 0.6243, d2.loss_iou: 0.9231, d3.loss_bbox: 0.6133, d3.loss_iou: 0.9096, d4.loss_bbox: 0.6075, d4.loss_iou: 0.9029, loss: 12.4314, grad_norm: 9.5773 2022-10-27 03:18:10,417 - mmdet - INFO - Epoch [50][1000/1849] lr: 2.000e-05, eta: 0:04:53, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1133, loss_bbox: 0.6079, loss_iou: 0.9005, d0.loss_bbox: 0.6690, d0.loss_iou: 0.9778, d1.loss_bbox: 0.6438, d1.loss_iou: 0.9438, d2.loss_bbox: 0.6266, d2.loss_iou: 0.9227, d3.loss_bbox: 0.6152, d3.loss_iou: 0.9088, d4.loss_bbox: 0.6091, d4.loss_iou: 0.9016, loss: 12.4401, grad_norm: 10.4349 2022-10-27 03:18:30,065 - mmdet - INFO - Epoch [50][1050/1849] lr: 2.000e-05, eta: 0:04:36, time: 0.393, data_time: 0.009, memory: 4055, loss_contrastive: 3.1110, loss_bbox: 0.6022, loss_iou: 0.9021, d0.loss_bbox: 0.6611, d0.loss_iou: 0.9813, d1.loss_bbox: 0.6365, d1.loss_iou: 0.9461, d2.loss_bbox: 0.6206, d2.loss_iou: 0.9236, d3.loss_bbox: 0.6084, d3.loss_iou: 0.9102, d4.loss_bbox: 0.6031, d4.loss_iou: 0.9033, loss: 12.4094, grad_norm: 11.1815 2022-10-27 03:18:47,625 - mmdet - INFO - Epoch [50][1100/1849] lr: 2.000e-05, eta: 0:04:19, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1103, loss_bbox: 0.6092, loss_iou: 0.9021, d0.loss_bbox: 0.6679, d0.loss_iou: 0.9786, d1.loss_bbox: 0.6419, d1.loss_iou: 0.9442, d2.loss_bbox: 0.6267, d2.loss_iou: 0.9235, d3.loss_bbox: 0.6162, d3.loss_iou: 0.9103, d4.loss_bbox: 0.6100, d4.loss_iou: 0.9036, loss: 12.4444, grad_norm: 10.0044 2022-10-27 03:19:05,063 - mmdet - INFO - Epoch [50][1150/1849] lr: 2.000e-05, eta: 0:04:01, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1119, loss_bbox: 0.6084, loss_iou: 0.9030, d0.loss_bbox: 0.6675, d0.loss_iou: 0.9800, d1.loss_bbox: 0.6428, d1.loss_iou: 0.9462, d2.loss_bbox: 0.6267, d2.loss_iou: 0.9245, d3.loss_bbox: 0.6148, d3.loss_iou: 0.9113, d4.loss_bbox: 0.6092, d4.loss_iou: 0.9043, loss: 12.4506, grad_norm: 9.7117 2022-10-27 03:19:23,088 - mmdet - INFO - Epoch [50][1200/1849] lr: 2.000e-05, eta: 0:03:44, time: 0.361, data_time: 0.010, memory: 4055, loss_contrastive: 3.1133, loss_bbox: 0.6068, loss_iou: 0.9007, d0.loss_bbox: 0.6666, d0.loss_iou: 0.9797, d1.loss_bbox: 0.6411, d1.loss_iou: 0.9444, d2.loss_bbox: 0.6246, d2.loss_iou: 0.9228, d3.loss_bbox: 0.6133, d3.loss_iou: 0.9089, d4.loss_bbox: 0.6075, d4.loss_iou: 0.9021, loss: 12.4318, grad_norm: 9.8634 2022-10-27 03:19:40,422 - mmdet - INFO - Epoch [50][1250/1849] lr: 2.000e-05, eta: 0:03:27, time: 0.347, data_time: 0.009, memory: 4055, loss_contrastive: 3.1128, loss_bbox: 0.6087, loss_iou: 0.9002, d0.loss_bbox: 0.6679, d0.loss_iou: 0.9779, d1.loss_bbox: 0.6419, d1.loss_iou: 0.9434, d2.loss_bbox: 0.6264, d2.loss_iou: 0.9211, d3.loss_bbox: 0.6153, d3.loss_iou: 0.9081, d4.loss_bbox: 0.6095, d4.loss_iou: 0.9014, loss: 12.4346, grad_norm: 12.1440 2022-10-27 03:19:57,869 - mmdet - INFO - Epoch [50][1300/1849] lr: 2.000e-05, eta: 0:03:09, time: 0.349, data_time: 0.010, memory: 4055, loss_contrastive: 3.1112, loss_bbox: 0.6088, loss_iou: 0.9000, d0.loss_bbox: 0.6677, d0.loss_iou: 0.9766, d1.loss_bbox: 0.6422, d1.loss_iou: 0.9420, d2.loss_bbox: 0.6270, d2.loss_iou: 0.9209, d3.loss_bbox: 0.6154, d3.loss_iou: 0.9079, d4.loss_bbox: 0.6096, d4.loss_iou: 0.9014, loss: 12.4308, grad_norm: 10.0979 2022-10-27 03:20:15,370 - mmdet - INFO - Epoch [50][1350/1849] lr: 2.000e-05, eta: 0:02:52, time: 0.350, data_time: 0.009, memory: 4055, loss_contrastive: 3.1136, loss_bbox: 0.6070, loss_iou: 0.9021, d0.loss_bbox: 0.6668, d0.loss_iou: 0.9802, d1.loss_bbox: 0.6412, d1.loss_iou: 0.9463, d2.loss_bbox: 0.6249, d2.loss_iou: 0.9244, d3.loss_bbox: 0.6137, d3.loss_iou: 0.9106, d4.loss_bbox: 0.6079, d4.loss_iou: 0.9032, loss: 12.4420, grad_norm: 10.1373 2022-10-27 03:20:32,959 - mmdet - INFO - Epoch [50][1400/1849] lr: 2.000e-05, eta: 0:02:35, time: 0.352, data_time: 0.009, memory: 4055, loss_contrastive: 3.1139, loss_bbox: 0.6077, loss_iou: 0.8988, d0.loss_bbox: 0.6668, d0.loss_iou: 0.9775, d1.loss_bbox: 0.6410, d1.loss_iou: 0.9419, d2.loss_bbox: 0.6255, d2.loss_iou: 0.9208, d3.loss_bbox: 0.6142, d3.loss_iou: 0.9072, d4.loss_bbox: 0.6087, d4.loss_iou: 0.9001, loss: 12.4240, grad_norm: 9.9905 2022-10-27 03:20:50,360 - mmdet - INFO - Epoch [50][1450/1849] lr: 2.000e-05, eta: 0:02:18, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1074, loss_bbox: 0.6064, loss_iou: 0.9016, d0.loss_bbox: 0.6647, d0.loss_iou: 0.9789, d1.loss_bbox: 0.6399, d1.loss_iou: 0.9448, d2.loss_bbox: 0.6242, d2.loss_iou: 0.9231, d3.loss_bbox: 0.6130, d3.loss_iou: 0.9103, d4.loss_bbox: 0.6071, d4.loss_iou: 0.9030, loss: 12.4244, grad_norm: 10.0350 2022-10-27 03:21:07,649 - mmdet - INFO - Epoch [50][1500/1849] lr: 2.000e-05, eta: 0:02:00, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1123, loss_bbox: 0.6049, loss_iou: 0.9002, d0.loss_bbox: 0.6635, d0.loss_iou: 0.9786, d1.loss_bbox: 0.6383, d1.loss_iou: 0.9424, d2.loss_bbox: 0.6226, d2.loss_iou: 0.9209, d3.loss_bbox: 0.6119, d3.loss_iou: 0.9086, d4.loss_bbox: 0.6060, d4.loss_iou: 0.9017, loss: 12.4119, grad_norm: 9.6081 2022-10-27 03:21:25,286 - mmdet - INFO - Epoch [50][1550/1849] lr: 2.000e-05, eta: 0:01:43, time: 0.353, data_time: 0.010, memory: 4055, loss_contrastive: 3.1088, loss_bbox: 0.6061, loss_iou: 0.9019, d0.loss_bbox: 0.6649, d0.loss_iou: 0.9782, d1.loss_bbox: 0.6399, d1.loss_iou: 0.9437, d2.loss_bbox: 0.6233, d2.loss_iou: 0.9235, d3.loss_bbox: 0.6128, d3.loss_iou: 0.9112, d4.loss_bbox: 0.6068, d4.loss_iou: 0.9036, loss: 12.4247, grad_norm: 12.6016 2022-10-27 03:21:42,662 - mmdet - INFO - Epoch [50][1600/1849] lr: 2.000e-05, eta: 0:01:26, time: 0.348, data_time: 0.010, memory: 4055, loss_contrastive: 3.1131, loss_bbox: 0.6050, loss_iou: 0.9021, d0.loss_bbox: 0.6631, d0.loss_iou: 0.9816, d1.loss_bbox: 0.6387, d1.loss_iou: 0.9452, d2.loss_bbox: 0.6228, d2.loss_iou: 0.9242, d3.loss_bbox: 0.6119, d3.loss_iou: 0.9102, d4.loss_bbox: 0.6058, d4.loss_iou: 0.9037, loss: 12.4273, grad_norm: 10.7780 2022-10-27 03:21:59,914 - mmdet - INFO - Epoch [50][1650/1849] lr: 2.000e-05, eta: 0:01:08, time: 0.345, data_time: 0.010, memory: 4055, loss_contrastive: 3.1145, loss_bbox: 0.6056, loss_iou: 0.9001, d0.loss_bbox: 0.6651, d0.loss_iou: 0.9791, d1.loss_bbox: 0.6393, d1.loss_iou: 0.9432, d2.loss_bbox: 0.6228, d2.loss_iou: 0.9217, d3.loss_bbox: 0.6124, d3.loss_iou: 0.9084, d4.loss_bbox: 0.6066, d4.loss_iou: 0.9014, loss: 12.4201, grad_norm: 10.1200 2022-10-27 03:22:17,197 - mmdet - INFO - Epoch [50][1700/1849] lr: 2.000e-05, eta: 0:00:51, time: 0.346, data_time: 0.010, memory: 4055, loss_contrastive: 3.1168, loss_bbox: 0.6059, loss_iou: 0.8997, d0.loss_bbox: 0.6646, d0.loss_iou: 0.9767, d1.loss_bbox: 0.6398, d1.loss_iou: 0.9431, d2.loss_bbox: 0.6234, d2.loss_iou: 0.9212, d3.loss_bbox: 0.6128, d3.loss_iou: 0.9080, d4.loss_bbox: 0.6069, d4.loss_iou: 0.9013, loss: 12.4203, grad_norm: 10.4772 2022-10-27 03:22:34,739 - mmdet - INFO - Epoch [50][1750/1849] lr: 2.000e-05, eta: 0:00:34, time: 0.351, data_time: 0.010, memory: 4055, loss_contrastive: 3.1152, loss_bbox: 0.6066, loss_iou: 0.8995, d0.loss_bbox: 0.6650, d0.loss_iou: 0.9766, d1.loss_bbox: 0.6400, d1.loss_iou: 0.9425, d2.loss_bbox: 0.6240, d2.loss_iou: 0.9213, d3.loss_bbox: 0.6135, d3.loss_iou: 0.9078, d4.loss_bbox: 0.6074, d4.loss_iou: 0.9008, loss: 12.4202, grad_norm: 10.0746 2022-10-27 03:22:51,971 - mmdet - INFO - Epoch [50][1800/1849] lr: 2.000e-05, eta: 0:00:16, time: 0.344, data_time: 0.010, memory: 4055, loss_contrastive: 3.1100, loss_bbox: 0.6074, loss_iou: 0.9023, d0.loss_bbox: 0.6662, d0.loss_iou: 0.9786, d1.loss_bbox: 0.6411, d1.loss_iou: 0.9447, d2.loss_bbox: 0.6250, d2.loss_iou: 0.9238, d3.loss_bbox: 0.6144, d3.loss_iou: 0.9104, d4.loss_bbox: 0.6083, d4.loss_iou: 0.9036, loss: 12.4358, grad_norm: 9.3062 2022-10-27 03:23:09,189 - mmdet - INFO - Saving checkpoint at 50 epochs