diff --git "a/visionllama-large-p16_8xb2048-linear-coslr-800-90e_in1k.log" "b/visionllama-large-p16_8xb2048-linear-coslr-800-90e_in1k.log" new file mode 100644--- /dev/null +++ "b/visionllama-large-p16_8xb2048-linear-coslr-800-90e_in1k.log" @@ -0,0 +1,3806 @@ +2024/02/12 20:57:26 - mmengine - INFO - +------------------------------------------------------------ +System environment: + sys.platform: linux + Python: 3.9.18 (main, Sep 11 2023, 13:41:44) [GCC 11.2.0] + CUDA available: True + numpy_random_seed: 0 + GPU 0,1,2,3,4,5,6,7: NVIDIA A100-SXM4-80GB + CUDA_HOME: /usr/local/cuda + NVCC: Cuda compilation tools, release 11.7, V11.7.99 + GCC: gcc (GCC) 8.3.1 20190311 (Red Hat 8.3.1-3) + PyTorch: 1.12.0 + PyTorch compiling details: PyTorch built with: + - GCC 9.3 + - C++ Version: 201402 + - Intel(R) oneAPI Math Kernel Library Version 2023.1-Product Build 20230303 for Intel(R) 64 architecture applications + - Intel(R) MKL-DNN v2.6.0 (Git Hash 52b5f107dd9cf10910aaa19cb47f3abf9b349815) + - OpenMP 201511 (a.k.a. OpenMP 4.5) + - LAPACK is enabled (usually provided by MKL) + - NNPACK is enabled + - CPU capability usage: AVX2 + - CUDA Runtime 11.3 + - NVCC architecture flags: -gencode;arch=compute_37,code=sm_37;-gencode;arch=compute_50,code=sm_50;-gencode;arch=compute_60,code=sm_60;-gencode;arch=compute_61,code=sm_61;-gencode;arch=compute_70,code=sm_70;-gencode;arch=compute_75,code=sm_75;-gencode;arch=compute_80,code=sm_80;-gencode;arch=compute_86,code=sm_86;-gencode;arch=compute_37,code=compute_37 + - CuDNN 8.3.2 (built against CUDA 11.5) + - Magma 2.5.2 + - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, CUDA_VERSION=11.3, CUDNN_VERSION=8.3.2, CXX_COMPILER=/opt/rh/devtoolset-9/root/usr/bin/c++, CXX_FLAGS= -Wno-deprecated -fvisibility-inlines-hidden -DUSE_PTHREADPOOL -fopenmp -DNDEBUG -DUSE_KINETO -DUSE_FBGEMM -DUSE_QNNPACK -DUSE_PYTORCH_QNNPACK -DUSE_XNNPACK -DSYMBOLICATE_MOBILE_DEBUG_HANDLE -DEDGE_PROFILER_USE_KINETO -O2 -fPIC -Wno-narrowing -Wall -Wextra -Werror=return-type -Wno-missing-field-initializers -Wno-type-limits -Wno-array-bounds -Wno-unknown-pragmas -Wno-unused-parameter -Wno-unused-function -Wno-unused-result -Wno-unused-local-typedefs -Wno-strict-overflow -Wno-strict-aliasing -Wno-error=deprecated-declarations -Wno-stringop-overflow -Wno-psabi -Wno-error=pedantic -Wno-error=redundant-decls -Wno-error=old-style-cast -fdiagnostics-color=always -faligned-new -Wno-unused-but-set-variable -Wno-maybe-uninitialized -fno-math-errno -fno-trapping-math -Werror=format -Werror=cast-function-type -Wno-stringop-overflow, LAPACK_INFO=mkl, PERF_WITH_AVX=1, PERF_WITH_AVX2=1, PERF_WITH_AVX512=1, TORCH_VERSION=1.12.0, USE_CUDA=ON, USE_CUDNN=ON, USE_EXCEPTION_PTR=1, USE_GFLAGS=OFF, USE_GLOG=OFF, USE_MKL=ON, USE_MKLDNN=OFF, USE_MPI=OFF, USE_NCCL=ON, USE_NNPACK=ON, USE_OPENMP=ON, USE_ROCM=OFF, + + TorchVision: 0.13.0 + OpenCV: 4.9.0 + MMEngine: 0.10.2 + +Runtime environment: + cudnn_benchmark: True + mp_cfg: {'mp_start_method': 'spawn', 'opencv_num_threads': 0} + dist_cfg: {'backend': 'nccl'} + seed: 0 + deterministic: False + diff_rank_seed: True + Distributed launcher: pytorch + Distributed training: True + GPU number: 8 +------------------------------------------------------------ + +2024/02/12 20:57:26 - mmengine - INFO - Config: +auto_scale_lr = dict(base_batch_size=1024) +data_preprocessor = dict( + mean=[ + 123.675, + 116.28, + 103.53, + ], + num_classes=1000, + std=[ + 58.395, + 57.12, + 57.375, + ], + to_rgb=True) +dataset_type = 'ImageNet' +default_hooks = dict( + checkpoint=dict(interval=1, max_keep_ckpts=1, type='CheckpointHook'), + logger=dict(interval=10, type='LoggerHook'), + param_scheduler=dict(type='ParamSchedulerHook'), + sampler_seed=dict(type='DistSamplerSeedHook'), + timer=dict(type='IterTimerHook'), + visualization=dict(enable=False, type='VisualizationHook')) +default_scope = 'mmpretrain' +env_cfg = dict( + cudnn_benchmark=True, + dist_cfg=dict(backend='nccl'), + mp_cfg=dict(mp_start_method='spawn', opencv_num_threads=0)) +launcher = 'pytorch' +load_from = None +log_level = 'INFO' +model = dict( + backbone=dict( + arch='large', + final_norm=False, + frozen_stages=24, + img_size=224, + init_cfg=dict( + checkpoint= + 'work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth', + prefix='backbone.', + type='Pretrained'), + out_type='avg_featmap', + patch_size=16, + type='VisionLLaMA'), + head=dict( + in_channels=1024, + init_cfg=[ + dict(layer='Linear', std=0.01, type='TruncNormal'), + ], + loss=dict(type='CrossEntropyLoss'), + num_classes=1000, + type='VisionTransformerClsHead'), + neck=dict(input_features=1024, type='ClsBatchNormNeck'), + type='ImageClassifier') +optim_wrapper = dict( + loss_scale='dynamic', + optimizer=dict(lr=6.4, momentum=0.9, type='LARS', weight_decay=0.0), + type='AmpOptimWrapper') +param_scheduler = [ + dict( + begin=0, + by_epoch=True, + convert_to_iter_based=True, + end=10, + start_factor=0.0001, + type='LinearLR'), + dict( + T_max=80, + begin=10, + by_epoch=True, + convert_to_iter_based=True, + end=90, + eta_min=0.0, + type='CosineAnnealingLR'), +] +randomness = dict(deterministic=False, diff_rank_seed=True, seed=0) +resume = False +test_cfg = dict() +test_dataloader = dict( + batch_size=32, + collate_fn=dict(type='default_collate'), + dataset=dict( + data_root='/workdir/ILSVRC2012/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(backend='pillow', edge='short', scale=256, type='ResizeEdge'), + dict(crop_size=224, type='CenterCrop'), + dict(type='PackInputs'), + ], + split='val', + type='ImageNet'), + drop_last=False, + num_workers=5, + persistent_workers=True, + pin_memory=True, + sampler=dict(shuffle=False, type='DefaultSampler')) +test_evaluator = dict( + topk=( + 1, + 5, + ), type='Accuracy') +test_pipeline = [ + dict(type='LoadImageFromFile'), + dict(backend='pillow', edge='short', scale=256, type='ResizeEdge'), + dict(crop_size=224, type='CenterCrop'), + dict(type='PackInputs'), +] +train_cfg = dict(by_epoch=True, max_epochs=90, val_interval=1) +train_dataloader = dict( + batch_size=2048, + collate_fn=dict(type='default_collate'), + dataset=dict( + data_root='/workdir/ILSVRC2012/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(backend='pillow', scale=224, type='RandomResizedCrop'), + dict(direction='horizontal', prob=0.5, type='RandomFlip'), + dict(type='PackInputs'), + ], + split='train', + type='ImageNet'), + drop_last=True, + num_workers=5, + persistent_workers=True, + pin_memory=True, + sampler=dict(shuffle=True, type='DefaultSampler')) +train_pipeline = [ + dict(type='LoadImageFromFile'), + dict(backend='pillow', scale=224, type='RandomResizedCrop'), + dict(direction='horizontal', prob=0.5, type='RandomFlip'), + dict(type='PackInputs'), +] +val_cfg = dict() +val_dataloader = dict( + batch_size=32, + collate_fn=dict(type='default_collate'), + dataset=dict( + data_root='/workdir/ILSVRC2012/', + pipeline=[ + dict(type='LoadImageFromFile'), + dict(backend='pillow', edge='short', scale=256, type='ResizeEdge'), + dict(crop_size=224, type='CenterCrop'), + dict(type='PackInputs'), + ], + split='val', + type='ImageNet'), + drop_last=False, + num_workers=5, + persistent_workers=True, + pin_memory=True, + sampler=dict(shuffle=False, type='DefaultSampler')) +val_evaluator = dict( + topk=( + 1, + 5, + ), type='Accuracy') +vis_backends = [ + dict(type='LocalVisBackend'), +] +visualizer = dict( + type='UniversalVisualizer', vis_backends=[ + dict(type='LocalVisBackend'), + ]) +work_dir = './work_dirs/lama-large-p16_8xb2048-linear-coslr-800-90e_in1k' + +2024/02/12 20:57:38 - mmengine - INFO - Hooks will be executed in the following order: +before_run: +(VERY_HIGH ) RuntimeInfoHook +(BELOW_NORMAL) LoggerHook + -------------------- +before_train: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(VERY_LOW ) CheckpointHook + -------------------- +before_train_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(NORMAL ) DistSamplerSeedHook + -------------------- +before_train_iter: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook + -------------------- +after_train_iter: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +after_train_epoch: +(NORMAL ) IterTimerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +before_val: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +before_val_epoch: +(NORMAL ) IterTimerHook + -------------------- +before_val_iter: +(NORMAL ) IterTimerHook + -------------------- +after_val_iter: +(NORMAL ) IterTimerHook +(NORMAL ) VisualizationHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_val_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook +(LOW ) ParamSchedulerHook +(VERY_LOW ) CheckpointHook + -------------------- +after_val: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +after_train: +(VERY_HIGH ) RuntimeInfoHook +(VERY_LOW ) CheckpointHook + -------------------- +before_test: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +before_test_epoch: +(NORMAL ) IterTimerHook + -------------------- +before_test_iter: +(NORMAL ) IterTimerHook + -------------------- +after_test_iter: +(NORMAL ) IterTimerHook +(NORMAL ) VisualizationHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_test_epoch: +(VERY_HIGH ) RuntimeInfoHook +(NORMAL ) IterTimerHook +(BELOW_NORMAL) LoggerHook + -------------------- +after_test: +(VERY_HIGH ) RuntimeInfoHook + -------------------- +after_run: +(BELOW_NORMAL) LoggerHook + -------------------- +2024/02/12 20:57:55 - mmengine - INFO - load backbone. in model from: work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth +2024/02/12 20:58:27 - mmengine - WARNING - The model and loaded state dict do not match exactly + +unexpected key in source state_dict: cls_token, ln1.weight, ln1.bias + +missing keys in source state_dict: ln2.weight, ln2.bias + +Name of parameter - Initialization information + +backbone.pos_embed - torch.Size([1, 196, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.patch_embed.projection.weight - torch.Size([1024, 3, 16, 16]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.patch_embed.projection.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.0.ln1.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.0.ln1.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.0.attn.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.0.attn.qkv.bias - torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.0.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.0.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.0.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.0.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.0.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.0.ffn.w12.bias - torch.Size([22016]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.0.ffn.w3.weight - torch.Size([1024, 11008]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.0.ffn.w3.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.1.ln1.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.1.ln1.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.1.attn.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.1.attn.qkv.bias - torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.1.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.1.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.1.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.1.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.1.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.1.ffn.w12.bias - torch.Size([22016]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.1.ffn.w3.weight - torch.Size([1024, 11008]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.1.ffn.w3.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.2.ln1.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.2.ln1.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.2.attn.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.2.attn.qkv.bias - torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.2.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.2.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.2.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.2.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.2.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.2.ffn.w12.bias - torch.Size([22016]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.2.ffn.w3.weight - torch.Size([1024, 11008]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.2.ffn.w3.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.3.ln1.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.3.ln1.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.3.attn.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.3.attn.qkv.bias - torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.3.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.3.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.3.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.3.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.3.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.3.ffn.w12.bias - torch.Size([22016]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.3.ffn.w3.weight - torch.Size([1024, 11008]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.3.ffn.w3.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.4.ln1.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.4.ln1.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.4.attn.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.4.attn.qkv.bias - torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.4.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.4.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.4.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.4.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.4.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.4.ffn.w12.bias - 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torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.7.attn.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.7.attn.qkv.bias - torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.7.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.7.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.7.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.7.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.7.ffn.w12.weight - 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torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.8.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.8.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.8.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.8.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.8.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.8.ffn.w12.bias - torch.Size([22016]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.8.ffn.w3.weight - 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torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.9.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.9.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.9.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.9.ffn.w12.bias - torch.Size([22016]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.9.ffn.w3.weight - torch.Size([1024, 11008]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.9.ffn.w3.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.10.ln1.weight - 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torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.14.attn.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.14.attn.qkv.bias - torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.14.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.14.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.14.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.14.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.14.ffn.w12.weight - 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torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.15.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.15.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.15.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.15.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.15.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.15.ffn.w12.bias - torch.Size([22016]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.15.ffn.w3.weight - torch.Size([1024, 11008]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.15.ffn.w3.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.16.ln1.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.16.ln1.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.16.attn.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.16.attn.qkv.bias - torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.16.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.16.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.16.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.16.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.16.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.16.ffn.w12.bias - torch.Size([22016]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.16.ffn.w3.weight - torch.Size([1024, 11008]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.16.ffn.w3.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.17.ln1.weight - 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torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.17.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.17.ffn.w12.bias - torch.Size([22016]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.17.ffn.w3.weight - torch.Size([1024, 11008]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.17.ffn.w3.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.18.ln1.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.18.ln1.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.18.attn.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.18.attn.qkv.bias - torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.18.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.18.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.18.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.18.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.18.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.18.ffn.w12.bias - torch.Size([22016]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.18.ffn.w3.weight - torch.Size([1024, 11008]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.18.ffn.w3.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.19.ln1.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.19.ln1.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.19.attn.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.19.attn.qkv.bias - torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.19.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.19.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.19.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.19.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.19.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.19.ffn.w12.bias - torch.Size([22016]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.19.ffn.w3.weight - torch.Size([1024, 11008]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.19.ffn.w3.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.20.ln1.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.20.ln1.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.20.attn.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.20.attn.qkv.bias - torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.20.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.20.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.20.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.20.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.20.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.20.ffn.w12.bias - torch.Size([22016]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.20.ffn.w3.weight - torch.Size([1024, 11008]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.20.ffn.w3.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.21.ln1.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.21.ln1.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.21.attn.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.21.attn.qkv.bias - torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.21.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.21.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.21.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.21.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.21.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.21.ffn.w12.bias - torch.Size([22016]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.21.ffn.w3.weight - torch.Size([1024, 11008]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.21.ffn.w3.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.22.ln1.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.22.ln1.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.22.attn.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.22.attn.qkv.bias - torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.22.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.22.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.22.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.22.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.22.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.22.ffn.w12.bias - torch.Size([22016]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.22.ffn.w3.weight - torch.Size([1024, 11008]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.22.ffn.w3.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.23.ln1.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.23.ln1.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.23.attn.qkv.weight - torch.Size([3072, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.23.attn.qkv.bias - torch.Size([3072]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.23.attn.proj.weight - torch.Size([1024, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.23.attn.proj.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.23.ln2.weight - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.23.ln2.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.23.ffn.w12.weight - torch.Size([22016, 1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.23.ffn.w12.bias - torch.Size([22016]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.23.ffn.w3.weight - torch.Size([1024, 11008]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.layers.23.ffn.w3.bias - torch.Size([1024]): +PretrainedInit: load from work_dirs/mae_lama-large-p16_8xb512-amp-coslr-800e_in1k/epoch_800.pth + +backbone.ln2.weight - torch.Size([1024]): +The value is the same before and after calling `init_weights` of ImageClassifier + +backbone.ln2.bias - torch.Size([1024]): +The value is the same before and after calling `init_weights` of ImageClassifier + +head.layers.head.weight - torch.Size([1000, 1024]): +TruncNormalInit: a=-2, b=2, mean=0, std=0.01, bias=0 + +head.layers.head.bias - torch.Size([1000]): +TruncNormalInit: a=-2, b=2, mean=0, std=0.01, bias=0 +2024/02/12 20:58:28 - mmengine - WARNING - "FileClient" will be deprecated in future. Please use io functions in https://mmengine.readthedocs.io/en/latest/api/fileio.html#file-io +2024/02/12 20:58:28 - mmengine - WARNING - "HardDiskBackend" is the alias of "LocalBackend" and the former will be deprecated in future. +2024/02/12 20:58:28 - mmengine - INFO - Checkpoints will be saved to /mnt/dolphinfs/ssd_pool/docker/user/hadoop-automl/cxx/mmpretrain/work_dirs/lama-large-p16_8xb2048-linear-coslr-800-90e_in1k. +2024/02/12 21:00:38 - mmengine - INFO - Epoch(train) [1][10/78] lr: 7.4574e-02 eta: 1 day, 1:20:57 time: 13.0182 data_time: 4.2715 memory: 41551 loss: 6.9513 +2024/02/12 21:01:59 - mmengine - INFO - Epoch(train) [1][20/78] lr: 1.5672e-01 eta: 20:32:47 time: 8.1155 data_time: 0.0057 memory: 41551 loss: 6.9394 +2024/02/12 21:03:20 - mmengine - INFO - Epoch(train) [1][30/78] lr: 2.3887e-01 eta: 18:56:15 time: 8.1262 data_time: 0.0044 memory: 41551 loss: 6.8996 +2024/02/12 21:04:42 - mmengine - INFO - Epoch(train) [1][40/78] lr: 3.2102e-01 eta: 18:07:22 time: 8.1281 data_time: 0.0049 memory: 41551 loss: 6.8383 +2024/02/12 21:06:03 - mmengine - INFO - Epoch(train) [1][50/78] lr: 4.0317e-01 eta: 17:37:52 time: 8.1448 data_time: 0.0056 memory: 41551 loss: 6.7419 +2024/02/12 21:07:25 - mmengine - INFO - Epoch(train) [1][60/78] lr: 4.8532e-01 eta: 17:17:44 time: 8.1436 data_time: 0.0046 memory: 41551 loss: 6.6131 +2024/02/12 21:08:46 - mmengine - INFO - Epoch(train) [1][70/78] lr: 5.6746e-01 eta: 17:03:00 time: 8.1457 data_time: 0.0070 memory: 41551 loss: 6.4593 +2024/02/12 21:09:51 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/12 21:09:51 - mmengine - INFO - Saving checkpoint at 1 epochs +2024/02/12 21:10:40 - mmengine - INFO - Epoch(val) [1][ 10/196] eta: 0:07:53 time: 2.5439 data_time: 1.8423 memory: 41551 +2024/02/12 21:10:46 - mmengine - INFO - Epoch(val) [1][ 20/196] eta: 0:04:44 time: 0.6866 data_time: 0.0006 memory: 4673 +2024/02/12 21:10:53 - mmengine - INFO - Epoch(val) [1][ 30/196] eta: 0:03:36 time: 0.6884 data_time: 0.0015 memory: 4673 +2024/02/12 21:11:00 - mmengine - INFO - Epoch(val) [1][ 40/196] eta: 0:02:59 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/12 21:11:07 - mmengine - INFO - Epoch(val) [1][ 50/196] eta: 0:02:34 time: 0.6878 data_time: 0.0008 memory: 4673 +2024/02/12 21:11:14 - mmengine - INFO - Epoch(val) [1][ 60/196] eta: 0:02:15 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/12 21:11:21 - mmengine - INFO - Epoch(val) [1][ 70/196] eta: 0:02:00 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/12 21:11:28 - mmengine - INFO - Epoch(val) [1][ 80/196] eta: 0:01:46 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/12 21:11:35 - mmengine - INFO - Epoch(val) [1][ 90/196] eta: 0:01:34 time: 0.6878 data_time: 0.0008 memory: 4673 +2024/02/12 21:11:41 - mmengine - INFO - Epoch(val) [1][100/196] eta: 0:01:23 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/12 21:11:48 - mmengine - INFO - Epoch(val) [1][110/196] eta: 0:01:13 time: 0.6874 data_time: 0.0008 memory: 4673 +2024/02/12 21:11:55 - mmengine - INFO - Epoch(val) [1][120/196] eta: 0:01:04 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/12 21:12:02 - mmengine - INFO - Epoch(val) [1][130/196] eta: 0:00:54 time: 0.6890 data_time: 0.0014 memory: 4673 +2024/02/12 21:12:09 - mmengine - INFO - Epoch(val) [1][140/196] eta: 0:00:45 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/12 21:12:16 - mmengine - INFO - Epoch(val) [1][150/196] eta: 0:00:37 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/12 21:12:23 - mmengine - INFO - Epoch(val) [1][160/196] eta: 0:00:28 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/12 21:12:30 - mmengine - INFO - Epoch(val) [1][170/196] eta: 0:00:20 time: 0.6887 data_time: 0.0015 memory: 4673 +2024/02/12 21:12:37 - mmengine - INFO - Epoch(val) [1][180/196] eta: 0:00:12 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/12 21:12:43 - mmengine - INFO - Epoch(val) [1][190/196] eta: 0:00:04 time: 0.6887 data_time: 0.0017 memory: 4673 +2024/02/12 21:12:57 - mmengine - INFO - Epoch(val) [1][196/196] accuracy/top1: 17.2300 accuracy/top5: 33.0960 data_time: 0.0948 time: 0.7803 +2024/02/12 21:14:37 - mmengine - INFO - Epoch(train) [2][10/78] lr: 7.1533e-01 eta: 17:08:45 time: 10.0243 data_time: 1.3433 memory: 41551 loss: 6.1101 +2024/02/12 21:15:58 - mmengine - INFO - Epoch(train) [2][20/78] lr: 7.9748e-01 eta: 16:58:10 time: 8.1319 data_time: 0.0073 memory: 41551 loss: 5.8790 +2024/02/12 21:17:20 - mmengine - INFO - Epoch(train) [2][30/78] lr: 8.7963e-01 eta: 16:49:19 time: 8.1332 data_time: 0.0068 memory: 41551 loss: 5.6255 +2024/02/12 21:18:41 - mmengine - INFO - Epoch(train) [2][40/78] lr: 9.6178e-01 eta: 16:41:43 time: 8.1314 data_time: 0.0063 memory: 41551 loss: 5.3488 +2024/02/12 21:20:02 - mmengine - INFO - Epoch(train) [2][50/78] lr: 1.0439e+00 eta: 16:35:07 time: 8.1337 data_time: 0.0074 memory: 41551 loss: 5.0421 +2024/02/12 21:21:24 - mmengine - INFO - Epoch(train) [2][60/78] lr: 1.1261e+00 eta: 16:29:17 time: 8.1365 data_time: 0.0058 memory: 41551 loss: 4.7459 +2024/02/12 21:22:45 - mmengine - INFO - Epoch(train) [2][70/78] lr: 1.2082e+00 eta: 16:24:02 time: 8.1324 data_time: 0.0093 memory: 41551 loss: 4.4001 +2024/02/12 21:23:50 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/12 21:23:50 - mmengine - INFO - Saving checkpoint at 2 epochs +2024/02/12 21:24:24 - mmengine - INFO - Epoch(val) [2][ 10/196] eta: 0:02:12 time: 0.7143 data_time: 0.0227 memory: 41551 +2024/02/12 21:24:31 - mmengine - INFO - Epoch(val) [2][ 20/196] eta: 0:02:03 time: 0.6884 data_time: 0.0012 memory: 4673 +2024/02/12 21:24:38 - mmengine - INFO - Epoch(val) [2][ 30/196] eta: 0:01:55 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/12 21:24:45 - mmengine - INFO - Epoch(val) [2][ 40/196] eta: 0:01:48 time: 0.6892 data_time: 0.0017 memory: 4673 +2024/02/12 21:24:52 - mmengine - INFO - Epoch(val) [2][ 50/196] eta: 0:01:41 time: 0.6883 data_time: 0.0006 memory: 4673 +2024/02/12 21:24:59 - mmengine - INFO - Epoch(val) [2][ 60/196] eta: 0:01:34 time: 0.6885 data_time: 0.0009 memory: 4673 +2024/02/12 21:25:06 - mmengine - INFO - Epoch(val) [2][ 70/196] eta: 0:01:27 time: 0.6883 data_time: 0.0005 memory: 4673 +2024/02/12 21:25:13 - mmengine - INFO - Epoch(val) [2][ 80/196] eta: 0:01:20 time: 0.6895 data_time: 0.0018 memory: 4673 +2024/02/12 21:25:19 - mmengine - INFO - Epoch(val) [2][ 90/196] eta: 0:01:13 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/12 21:25:26 - mmengine - INFO - Epoch(val) [2][100/196] eta: 0:01:06 time: 0.6887 data_time: 0.0009 memory: 4673 +2024/02/12 21:25:33 - mmengine - INFO - Epoch(val) [2][110/196] eta: 0:00:59 time: 0.6880 data_time: 0.0005 memory: 4673 +2024/02/12 21:25:40 - mmengine - INFO - Epoch(val) [2][120/196] eta: 0:00:52 time: 0.6881 data_time: 0.0010 memory: 4673 +2024/02/12 21:25:47 - mmengine - INFO - Epoch(val) [2][130/196] eta: 0:00:45 time: 0.6876 data_time: 0.0004 memory: 4673 +2024/02/12 21:25:54 - mmengine - INFO - Epoch(val) [2][140/196] eta: 0:00:38 time: 0.6885 data_time: 0.0017 memory: 4673 +2024/02/12 21:26:01 - mmengine - INFO - Epoch(val) [2][150/196] eta: 0:00:31 time: 0.6873 data_time: 0.0004 memory: 4673 +2024/02/12 21:26:08 - mmengine - INFO - Epoch(val) [2][160/196] eta: 0:00:24 time: 0.6888 data_time: 0.0017 memory: 4673 +2024/02/12 21:26:14 - mmengine - INFO - Epoch(val) [2][170/196] eta: 0:00:17 time: 0.6874 data_time: 0.0004 memory: 4673 +2024/02/12 21:26:21 - mmengine - INFO - Epoch(val) [2][180/196] eta: 0:00:11 time: 0.6881 data_time: 0.0009 memory: 4673 +2024/02/12 21:26:28 - mmengine - INFO - Epoch(val) [2][190/196] eta: 0:00:04 time: 0.6874 data_time: 0.0004 memory: 4673 +2024/02/12 21:26:43 - mmengine - INFO - Epoch(val) [2][196/196] accuracy/top1: 51.4860 accuracy/top5: 71.0280 data_time: 0.0021 time: 0.6851 +2024/02/12 21:28:17 - mmengine - INFO - Epoch(train) [3][10/78] lr: 1.3561e+00 eta: 16:24:36 time: 9.4190 data_time: 1.3064 memory: 41551 loss: 3.8054 +2024/02/12 21:29:38 - mmengine - INFO - Epoch(train) [3][20/78] lr: 1.4382e+00 eta: 16:20:04 time: 8.1423 data_time: 0.0053 memory: 41551 loss: 3.4666 +2024/02/12 21:31:00 - mmengine - INFO - Epoch(train) [3][30/78] lr: 1.5204e+00 eta: 16:15:51 time: 8.1383 data_time: 0.0058 memory: 41551 loss: 3.1481 +2024/02/12 21:32:21 - mmengine - INFO - Epoch(train) [3][40/78] lr: 1.6025e+00 eta: 16:12:01 time: 8.1518 data_time: 0.0042 memory: 41551 loss: 2.8595 +2024/02/12 21:33:43 - mmengine - INFO - Epoch(train) [3][50/78] lr: 1.6847e+00 eta: 16:08:21 time: 8.1410 data_time: 0.0051 memory: 41551 loss: 2.6399 +2024/02/12 21:35:04 - mmengine - INFO - Epoch(train) [3][60/78] lr: 1.7668e+00 eta: 16:05:02 time: 8.1648 data_time: 0.0049 memory: 41551 loss: 2.3828 +2024/02/12 21:36:26 - mmengine - INFO - Epoch(train) [3][70/78] lr: 1.8490e+00 eta: 16:01:52 time: 8.1602 data_time: 0.0044 memory: 41551 loss: 2.2078 +2024/02/12 21:37:31 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/12 21:37:31 - mmengine - INFO - Saving checkpoint at 3 epochs +2024/02/12 21:38:00 - mmengine - INFO - Epoch(val) [3][ 10/196] eta: 0:02:12 time: 0.7135 data_time: 0.0228 memory: 41551 +2024/02/12 21:38:07 - mmengine - INFO - Epoch(val) [3][ 20/196] eta: 0:02:03 time: 0.6870 data_time: 0.0008 memory: 4673 +2024/02/12 21:38:14 - mmengine - INFO - Epoch(val) [3][ 30/196] eta: 0:01:55 time: 0.6871 data_time: 0.0004 memory: 4673 +2024/02/12 21:38:21 - mmengine - INFO - Epoch(val) [3][ 40/196] eta: 0:01:48 time: 0.6872 data_time: 0.0008 memory: 4673 +2024/02/12 21:38:28 - mmengine - INFO - Epoch(val) [3][ 50/196] eta: 0:01:41 time: 0.6872 data_time: 0.0004 memory: 4673 +2024/02/12 21:38:35 - mmengine - INFO - Epoch(val) [3][ 60/196] eta: 0:01:34 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/12 21:38:42 - mmengine - INFO - Epoch(val) [3][ 70/196] eta: 0:01:27 time: 0.6871 data_time: 0.0004 memory: 4673 +2024/02/12 21:38:48 - mmengine - INFO - Epoch(val) [3][ 80/196] eta: 0:01:20 time: 0.6878 data_time: 0.0008 memory: 4673 +2024/02/12 21:38:55 - mmengine - INFO - Epoch(val) [3][ 90/196] eta: 0:01:13 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/12 21:39:02 - mmengine - INFO - Epoch(val) [3][100/196] eta: 0:01:06 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/12 21:39:09 - mmengine - INFO - Epoch(val) [3][110/196] eta: 0:00:59 time: 0.6880 data_time: 0.0005 memory: 4673 +2024/02/12 21:39:16 - mmengine - INFO - Epoch(val) [3][120/196] eta: 0:00:52 time: 0.6887 data_time: 0.0017 memory: 4673 +2024/02/12 21:39:23 - mmengine - INFO - Epoch(val) [3][130/196] eta: 0:00:45 time: 0.6877 data_time: 0.0004 memory: 4673 +2024/02/12 21:39:30 - mmengine - INFO - Epoch(val) [3][140/196] eta: 0:00:38 time: 0.6882 data_time: 0.0009 memory: 4673 +2024/02/12 21:39:37 - mmengine - INFO - Epoch(val) [3][150/196] eta: 0:00:31 time: 0.6875 data_time: 0.0004 memory: 4673 +2024/02/12 21:39:43 - mmengine - INFO - Epoch(val) [3][160/196] eta: 0:00:24 time: 0.6877 data_time: 0.0008 memory: 4673 +2024/02/12 21:39:50 - mmengine - INFO - Epoch(val) [3][170/196] eta: 0:00:17 time: 0.6871 data_time: 0.0004 memory: 4673 +2024/02/12 21:39:57 - mmengine - INFO - Epoch(val) [3][180/196] eta: 0:00:11 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/12 21:40:04 - mmengine - INFO - Epoch(val) [3][190/196] eta: 0:00:04 time: 0.6870 data_time: 0.0003 memory: 4673 +2024/02/12 21:40:17 - mmengine - INFO - Epoch(val) [3][196/196] accuracy/top1: 65.3660 accuracy/top5: 83.7940 data_time: 0.0018 time: 0.6842 +2024/02/12 21:41:58 - mmengine - INFO - Epoch(train) [4][10/78] lr: 1.9968e+00 eta: 16:05:15 time: 10.0625 data_time: 1.2616 memory: 41551 loss: 1.9532 +2024/02/12 21:43:20 - mmengine - INFO - Epoch(train) [4][20/78] lr: 2.0790e+00 eta: 16:02:02 time: 8.1424 data_time: 0.0040 memory: 41551 loss: 1.8697 +2024/02/12 21:44:41 - mmengine - INFO - Epoch(train) [4][30/78] lr: 2.1611e+00 eta: 15:58:57 time: 8.1402 data_time: 0.0043 memory: 41551 loss: 1.7732 +2024/02/12 21:46:02 - mmengine - INFO - Epoch(train) [4][40/78] lr: 2.2433e+00 eta: 15:55:59 time: 8.1426 data_time: 0.0046 memory: 41551 loss: 1.7114 +2024/02/12 21:47:24 - mmengine - INFO - Epoch(train) [4][50/78] lr: 2.3254e+00 eta: 15:53:08 time: 8.1401 data_time: 0.0039 memory: 41551 loss: 1.6587 +2024/02/12 21:48:45 - mmengine - INFO - Epoch(train) [4][60/78] lr: 2.4076e+00 eta: 15:50:24 time: 8.1402 data_time: 0.0047 memory: 41551 loss: 1.6126 +2024/02/12 21:50:07 - mmengine - INFO - Epoch(train) [4][70/78] lr: 2.4897e+00 eta: 15:47:46 time: 8.1468 data_time: 0.0044 memory: 41551 loss: 1.5889 +2024/02/12 21:51:12 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/12 21:51:12 - mmengine - INFO - Saving checkpoint at 4 epochs +2024/02/12 21:51:41 - mmengine - INFO - Epoch(val) [4][ 10/196] eta: 0:02:13 time: 0.7152 data_time: 0.0239 memory: 41551 +2024/02/12 21:51:48 - mmengine - INFO - Epoch(val) [4][ 20/196] eta: 0:02:03 time: 0.6869 data_time: 0.0006 memory: 4673 +2024/02/12 21:51:54 - mmengine - INFO - Epoch(val) [4][ 30/196] eta: 0:01:55 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/12 21:52:01 - mmengine - INFO - Epoch(val) [4][ 40/196] eta: 0:01:48 time: 0.6870 data_time: 0.0005 memory: 4673 +2024/02/12 21:52:08 - mmengine - INFO - Epoch(val) [4][ 50/196] eta: 0:01:41 time: 0.6883 data_time: 0.0015 memory: 4673 +2024/02/12 21:52:15 - mmengine - INFO - Epoch(val) [4][ 60/196] eta: 0:01:34 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/12 21:52:22 - mmengine - INFO - Epoch(val) [4][ 70/196] eta: 0:01:27 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/12 21:52:29 - mmengine - INFO - Epoch(val) [4][ 80/196] eta: 0:01:20 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/12 21:52:36 - mmengine - INFO - Epoch(val) [4][ 90/196] eta: 0:01:13 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/12 21:52:43 - mmengine - INFO - Epoch(val) [4][100/196] eta: 0:01:06 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/12 21:52:49 - mmengine - INFO - Epoch(val) [4][110/196] eta: 0:00:59 time: 0.6877 data_time: 0.0008 memory: 4673 +2024/02/12 21:52:56 - mmengine - INFO - Epoch(val) [4][120/196] eta: 0:00:52 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/12 21:53:03 - mmengine - INFO - Epoch(val) [4][130/196] eta: 0:00:45 time: 0.6881 data_time: 0.0017 memory: 4673 +2024/02/12 21:53:10 - mmengine - INFO - Epoch(val) [4][140/196] eta: 0:00:38 time: 0.6868 data_time: 0.0005 memory: 4673 +2024/02/12 21:53:17 - mmengine - INFO - Epoch(val) [4][150/196] eta: 0:00:31 time: 0.6879 data_time: 0.0015 memory: 4673 +2024/02/12 21:53:24 - mmengine - INFO - Epoch(val) [4][160/196] eta: 0:00:24 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/12 21:53:31 - mmengine - INFO - Epoch(val) [4][170/196] eta: 0:00:17 time: 0.6884 data_time: 0.0015 memory: 4673 +2024/02/12 21:53:38 - mmengine - INFO - Epoch(val) [4][180/196] eta: 0:00:11 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/12 21:53:44 - mmengine - INFO - Epoch(val) [4][190/196] eta: 0:00:04 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/12 21:53:58 - mmengine - INFO - Epoch(val) [4][196/196] accuracy/top1: 70.9000 accuracy/top5: 88.4760 data_time: 0.0020 time: 0.6843 +2024/02/12 21:55:33 - mmengine - INFO - Epoch(train) [5][10/78] lr: 2.6376e+00 eta: 15:47:54 time: 9.5079 data_time: 1.3092 memory: 41551 loss: 1.4957 +2024/02/12 21:56:54 - mmengine - INFO - Epoch(train) [5][20/78] lr: 2.7198e+00 eta: 15:45:16 time: 8.1287 data_time: 0.0045 memory: 41551 loss: 1.4798 +2024/02/12 21:58:15 - mmengine - INFO - Epoch(train) [5][30/78] lr: 2.8019e+00 eta: 15:42:42 time: 8.1280 data_time: 0.0061 memory: 41551 loss: 1.4470 +2024/02/12 21:59:36 - mmengine - INFO - Epoch(train) [5][40/78] lr: 2.8840e+00 eta: 15:40:12 time: 8.1224 data_time: 0.0050 memory: 41551 loss: 1.4422 +2024/02/12 22:00:58 - mmengine - INFO - Epoch(train) [5][50/78] lr: 2.9662e+00 eta: 15:37:50 time: 8.1506 data_time: 0.0045 memory: 41551 loss: 1.4293 +2024/02/12 22:02:19 - mmengine - INFO - Epoch(train) [5][60/78] lr: 3.0483e+00 eta: 15:35:30 time: 8.1412 data_time: 0.0041 memory: 41551 loss: 1.3815 +2024/02/12 22:03:41 - mmengine - INFO - Epoch(train) [5][70/78] lr: 3.1305e+00 eta: 15:33:14 time: 8.1452 data_time: 0.0046 memory: 41551 loss: 1.3894 +2024/02/12 22:04:46 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/12 22:04:46 - mmengine - INFO - Saving checkpoint at 5 epochs +2024/02/12 22:05:15 - mmengine - INFO - Epoch(val) [5][ 10/196] eta: 0:02:12 time: 0.7117 data_time: 0.0221 memory: 41551 +2024/02/12 22:05:22 - mmengine - INFO - Epoch(val) [5][ 20/196] eta: 0:02:03 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/12 22:05:29 - mmengine - INFO - Epoch(val) [5][ 30/196] eta: 0:01:55 time: 0.6869 data_time: 0.0005 memory: 4673 +2024/02/12 22:05:36 - mmengine - INFO - Epoch(val) [5][ 40/196] eta: 0:01:48 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/12 22:05:42 - mmengine - INFO - Epoch(val) [5][ 50/196] eta: 0:01:41 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/12 22:05:49 - mmengine - INFO - Epoch(val) [5][ 60/196] eta: 0:01:34 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/12 22:05:56 - mmengine - INFO - Epoch(val) [5][ 70/196] eta: 0:01:27 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/12 22:06:03 - mmengine - INFO - Epoch(val) [5][ 80/196] eta: 0:01:20 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/12 22:06:10 - mmengine - INFO - Epoch(val) [5][ 90/196] eta: 0:01:13 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/12 22:06:17 - mmengine - INFO - Epoch(val) [5][100/196] eta: 0:01:06 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/12 22:06:24 - mmengine - INFO - Epoch(val) [5][110/196] eta: 0:00:59 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/12 22:06:31 - mmengine - INFO - Epoch(val) [5][120/196] eta: 0:00:52 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/12 22:06:37 - mmengine - INFO - Epoch(val) [5][130/196] eta: 0:00:45 time: 0.6879 data_time: 0.0015 memory: 4673 +2024/02/12 22:06:44 - mmengine - INFO - Epoch(val) [5][140/196] eta: 0:00:38 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/12 22:06:51 - mmengine - INFO - Epoch(val) [5][150/196] eta: 0:00:31 time: 0.6869 data_time: 0.0006 memory: 4673 +2024/02/12 22:06:58 - mmengine - INFO - Epoch(val) [5][160/196] eta: 0:00:24 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/12 22:07:05 - mmengine - INFO - Epoch(val) [5][170/196] eta: 0:00:17 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/12 22:07:12 - mmengine - INFO - Epoch(val) [5][180/196] eta: 0:00:11 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/12 22:07:19 - mmengine - INFO - Epoch(val) [5][190/196] eta: 0:00:04 time: 0.6879 data_time: 0.0012 memory: 4673 +2024/02/12 22:07:31 - mmengine - INFO - Epoch(val) [5][196/196] accuracy/top1: 72.9060 accuracy/top5: 90.2240 data_time: 0.0018 time: 0.6840 +2024/02/12 22:09:06 - mmengine - INFO - Epoch(train) [6][10/78] lr: 3.2784e+00 eta: 15:32:49 time: 9.4339 data_time: 1.3186 memory: 41551 loss: 1.3298 +2024/02/12 22:10:27 - mmengine - INFO - Epoch(train) [6][20/78] lr: 3.3605e+00 eta: 15:30:33 time: 8.1329 data_time: 0.0049 memory: 41551 loss: 1.3479 +2024/02/12 22:11:49 - mmengine - INFO - Epoch(train) [6][30/78] lr: 3.4427e+00 eta: 15:28:21 time: 8.1469 data_time: 0.0052 memory: 41551 loss: 1.3327 +2024/02/12 22:13:10 - mmengine - INFO - Epoch(train) [6][40/78] lr: 3.5248e+00 eta: 15:26:11 time: 8.1439 data_time: 0.0048 memory: 41551 loss: 1.3164 +2024/02/12 22:14:31 - mmengine - INFO - Epoch(train) [6][50/78] lr: 3.6070e+00 eta: 15:24:01 time: 8.1252 data_time: 0.0047 memory: 41551 loss: 1.3098 +2024/02/12 22:15:53 - mmengine - INFO - Epoch(train) [6][60/78] lr: 3.6891e+00 eta: 15:21:56 time: 8.1485 data_time: 0.0042 memory: 41551 loss: 1.2899 +2024/02/12 22:17:14 - mmengine - INFO - Epoch(train) [6][70/78] lr: 3.7713e+00 eta: 15:19:52 time: 8.1415 data_time: 0.0050 memory: 41551 loss: 1.2949 +2024/02/12 22:18:19 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/12 22:18:19 - mmengine - INFO - Saving checkpoint at 6 epochs +2024/02/12 22:18:49 - mmengine - INFO - Epoch(val) [6][ 10/196] eta: 0:02:12 time: 0.7135 data_time: 0.0236 memory: 41551 +2024/02/12 22:18:55 - mmengine - INFO - Epoch(val) [6][ 20/196] eta: 0:02:03 time: 0.6869 data_time: 0.0007 memory: 4673 +2024/02/12 22:19:02 - mmengine - INFO - Epoch(val) [6][ 30/196] eta: 0:01:55 time: 0.6869 data_time: 0.0006 memory: 4673 +2024/02/12 22:19:09 - mmengine - INFO - Epoch(val) [6][ 40/196] eta: 0:01:48 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/12 22:19:16 - mmengine - INFO - Epoch(val) [6][ 50/196] eta: 0:01:41 time: 0.6877 data_time: 0.0008 memory: 4673 +2024/02/12 22:19:23 - mmengine - INFO - Epoch(val) [6][ 60/196] eta: 0:01:34 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/12 22:19:30 - mmengine - INFO - Epoch(val) [6][ 70/196] eta: 0:01:27 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/12 22:19:37 - mmengine - INFO - Epoch(val) [6][ 80/196] eta: 0:01:20 time: 0.6878 data_time: 0.0012 memory: 4673 +2024/02/12 22:19:44 - mmengine - INFO - Epoch(val) [6][ 90/196] eta: 0:01:13 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/12 22:19:50 - mmengine - INFO - Epoch(val) [6][100/196] eta: 0:01:06 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/12 22:19:57 - mmengine - INFO - Epoch(val) [6][110/196] eta: 0:00:59 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/12 22:20:04 - mmengine - INFO - Epoch(val) [6][120/196] eta: 0:00:52 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/12 22:20:11 - mmengine - INFO - Epoch(val) [6][130/196] eta: 0:00:45 time: 0.6867 data_time: 0.0004 memory: 4673 +2024/02/12 22:20:18 - mmengine - INFO - Epoch(val) [6][140/196] eta: 0:00:38 time: 0.6880 data_time: 0.0015 memory: 4673 +2024/02/12 22:20:25 - mmengine - INFO - Epoch(val) [6][150/196] eta: 0:00:31 time: 0.6870 data_time: 0.0004 memory: 4673 +2024/02/12 22:20:32 - mmengine - INFO - Epoch(val) [6][160/196] eta: 0:00:24 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/12 22:20:39 - mmengine - INFO - Epoch(val) [6][170/196] eta: 0:00:17 time: 0.6871 data_time: 0.0004 memory: 4673 +2024/02/12 22:20:45 - mmengine - INFO - Epoch(val) [6][180/196] eta: 0:00:11 time: 0.6882 data_time: 0.0014 memory: 4673 +2024/02/12 22:20:52 - mmengine - INFO - Epoch(val) [6][190/196] eta: 0:00:04 time: 0.6872 data_time: 0.0004 memory: 4673 +2024/02/12 22:21:05 - mmengine - INFO - Epoch(val) [6][196/196] accuracy/top1: 73.9340 accuracy/top5: 90.9320 data_time: 0.0019 time: 0.6840 +2024/02/12 22:22:41 - mmengine - INFO - Epoch(train) [7][10/78] lr: 3.9191e+00 eta: 15:19:26 time: 9.5499 data_time: 1.2814 memory: 41551 loss: 1.2827 +2024/02/12 22:24:02 - mmengine - INFO - Epoch(train) [7][20/78] lr: 4.0013e+00 eta: 15:17:21 time: 8.1266 data_time: 0.0046 memory: 41551 loss: 1.2637 +2024/02/12 22:25:23 - mmengine - INFO - Epoch(train) [7][30/78] lr: 4.0834e+00 eta: 15:15:18 time: 8.1298 data_time: 0.0044 memory: 41551 loss: 1.2521 +2024/02/12 22:26:45 - mmengine - INFO - Epoch(train) [7][40/78] lr: 4.1656e+00 eta: 15:13:16 time: 8.1317 data_time: 0.0049 memory: 41551 loss: 1.2732 +2024/02/12 22:28:06 - mmengine - INFO - Epoch(train) [7][50/78] lr: 4.2477e+00 eta: 15:11:17 time: 8.1315 data_time: 0.0044 memory: 41551 loss: 1.2727 +2024/02/12 22:29:27 - mmengine - INFO - Epoch(train) [7][60/78] lr: 4.3299e+00 eta: 15:09:17 time: 8.1234 data_time: 0.0043 memory: 41551 loss: 1.2455 +2024/02/12 22:30:48 - mmengine - INFO - Epoch(train) [7][70/78] lr: 4.4120e+00 eta: 15:07:20 time: 8.1236 data_time: 0.0043 memory: 41551 loss: 1.2664 +2024/02/12 22:31:53 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/12 22:31:53 - mmengine - INFO - Saving checkpoint at 7 epochs +2024/02/12 22:32:23 - mmengine - INFO - Epoch(val) [7][ 10/196] eta: 0:02:12 time: 0.7121 data_time: 0.0217 memory: 41551 +2024/02/12 22:32:30 - mmengine - INFO - Epoch(val) [7][ 20/196] eta: 0:02:03 time: 0.6867 data_time: 0.0008 memory: 4673 +2024/02/12 22:32:37 - mmengine - INFO - Epoch(val) [7][ 30/196] eta: 0:01:55 time: 0.6862 data_time: 0.0004 memory: 4673 +2024/02/12 22:32:43 - mmengine - INFO - Epoch(val) [7][ 40/196] eta: 0:01:48 time: 0.6870 data_time: 0.0008 memory: 4673 +2024/02/12 22:32:50 - mmengine - INFO - Epoch(val) [7][ 50/196] eta: 0:01:41 time: 0.6871 data_time: 0.0003 memory: 4673 +2024/02/12 22:32:57 - mmengine - INFO - Epoch(val) [7][ 60/196] eta: 0:01:33 time: 0.6873 data_time: 0.0008 memory: 4673 +2024/02/12 22:33:04 - mmengine - INFO - Epoch(val) [7][ 70/196] eta: 0:01:26 time: 0.6868 data_time: 0.0004 memory: 4673 +2024/02/12 22:33:11 - mmengine - INFO - Epoch(val) [7][ 80/196] eta: 0:01:20 time: 0.6881 data_time: 0.0015 memory: 4673 +2024/02/12 22:33:18 - mmengine - INFO - Epoch(val) [7][ 90/196] eta: 0:01:13 time: 0.6868 data_time: 0.0005 memory: 4673 +2024/02/12 22:33:25 - mmengine - INFO - Epoch(val) [7][100/196] eta: 0:01:06 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/12 22:33:31 - mmengine - INFO - Epoch(val) [7][110/196] eta: 0:00:59 time: 0.6866 data_time: 0.0005 memory: 4673 +2024/02/12 22:33:38 - mmengine - INFO - Epoch(val) [7][120/196] eta: 0:00:52 time: 0.6880 data_time: 0.0016 memory: 4673 +2024/02/12 22:33:45 - mmengine - INFO - Epoch(val) [7][130/196] eta: 0:00:45 time: 0.6868 data_time: 0.0005 memory: 4673 +2024/02/12 22:33:52 - mmengine - INFO - Epoch(val) [7][140/196] eta: 0:00:38 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/12 22:33:59 - mmengine - INFO - Epoch(val) [7][150/196] eta: 0:00:31 time: 0.6869 data_time: 0.0005 memory: 4673 +2024/02/12 22:34:06 - mmengine - INFO - Epoch(val) [7][160/196] eta: 0:00:24 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/12 22:34:13 - mmengine - INFO - Epoch(val) [7][170/196] eta: 0:00:17 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/12 22:34:20 - mmengine - INFO - Epoch(val) [7][180/196] eta: 0:00:11 time: 0.6882 data_time: 0.0014 memory: 4673 +2024/02/12 22:34:26 - mmengine - INFO - Epoch(val) [7][190/196] eta: 0:00:04 time: 0.6870 data_time: 0.0005 memory: 4673 +2024/02/12 22:34:39 - mmengine - INFO - Epoch(val) [7][196/196] accuracy/top1: 74.5080 accuracy/top5: 91.2940 data_time: 0.0018 time: 0.6838 +2024/02/12 22:36:13 - mmengine - INFO - Epoch(train) [8][10/78] lr: 4.5599e+00 eta: 15:06:18 time: 9.3982 data_time: 1.2832 memory: 41551 loss: 1.2100 +2024/02/12 22:37:35 - mmengine - INFO - Epoch(train) [8][20/78] lr: 4.6420e+00 eta: 15:04:22 time: 8.1291 data_time: 0.0052 memory: 41551 loss: 1.2305 +2024/02/12 22:38:56 - mmengine - INFO - Epoch(train) [8][30/78] lr: 4.7242e+00 eta: 15:02:29 time: 8.1492 data_time: 0.0043 memory: 41551 loss: 1.2048 +2024/02/12 22:40:18 - mmengine - INFO - Epoch(train) [8][40/78] lr: 4.8063e+00 eta: 15:00:36 time: 8.1392 data_time: 0.0043 memory: 41551 loss: 1.2140 +2024/02/12 22:41:39 - mmengine - INFO - Epoch(train) [8][50/78] lr: 4.8885e+00 eta: 14:58:45 time: 8.1470 data_time: 0.0053 memory: 41551 loss: 1.2304 +2024/02/12 22:43:00 - mmengine - INFO - Epoch(train) [8][60/78] lr: 4.9706e+00 eta: 14:56:54 time: 8.1399 data_time: 0.0042 memory: 41551 loss: 1.2346 +2024/02/12 22:44:22 - mmengine - INFO - Epoch(train) [8][70/78] lr: 5.0528e+00 eta: 14:55:04 time: 8.1444 data_time: 0.0044 memory: 41551 loss: 1.2267 +2024/02/12 22:45:27 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/12 22:45:27 - mmengine - INFO - Saving checkpoint at 8 epochs +2024/02/12 22:45:56 - mmengine - INFO - Epoch(val) [8][ 10/196] eta: 0:02:12 time: 0.7128 data_time: 0.0222 memory: 41551 +2024/02/12 22:46:02 - mmengine - INFO - Epoch(val) [8][ 20/196] eta: 0:02:03 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/12 22:46:09 - mmengine - INFO - Epoch(val) [8][ 30/196] eta: 0:01:55 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/12 22:46:16 - mmengine - INFO - Epoch(val) [8][ 40/196] eta: 0:01:48 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/12 22:46:23 - mmengine - INFO - Epoch(val) [8][ 50/196] eta: 0:01:41 time: 0.6961 data_time: 0.0008 memory: 4673 +2024/02/12 22:46:30 - mmengine - INFO - Epoch(val) [8][ 60/196] eta: 0:01:34 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/12 22:46:37 - mmengine - INFO - Epoch(val) [8][ 70/196] eta: 0:01:27 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/12 22:46:44 - mmengine - INFO - Epoch(val) [8][ 80/196] eta: 0:01:20 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/12 22:46:51 - mmengine - INFO - Epoch(val) [8][ 90/196] eta: 0:01:13 time: 0.6877 data_time: 0.0008 memory: 4673 +2024/02/12 22:46:57 - mmengine - INFO - Epoch(val) [8][100/196] eta: 0:01:06 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/12 22:47:04 - mmengine - INFO - Epoch(val) [8][110/196] eta: 0:00:59 time: 0.6887 data_time: 0.0014 memory: 4673 +2024/02/12 22:47:11 - mmengine - INFO - Epoch(val) [8][120/196] eta: 0:00:52 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/12 22:47:18 - mmengine - INFO - Epoch(val) [8][130/196] eta: 0:00:45 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/12 22:47:25 - mmengine - INFO - Epoch(val) [8][140/196] eta: 0:00:38 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/12 22:47:32 - mmengine - INFO - Epoch(val) [8][150/196] eta: 0:00:31 time: 0.6884 data_time: 0.0015 memory: 4673 +2024/02/12 22:47:39 - mmengine - INFO - Epoch(val) [8][160/196] eta: 0:00:24 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/12 22:47:46 - mmengine - INFO - Epoch(val) [8][170/196] eta: 0:00:17 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/12 22:47:53 - mmengine - INFO - Epoch(val) [8][180/196] eta: 0:00:11 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/12 22:47:59 - mmengine - INFO - Epoch(val) [8][190/196] eta: 0:00:04 time: 0.6878 data_time: 0.0014 memory: 4673 +2024/02/12 22:48:12 - mmengine - INFO - Epoch(val) [8][196/196] accuracy/top1: 74.8380 accuracy/top5: 91.5040 data_time: 0.0018 time: 0.6847 +2024/02/12 22:49:52 - mmengine - INFO - Epoch(train) [9][10/78] lr: 5.2006e+00 eta: 14:54:54 time: 9.9865 data_time: 1.2117 memory: 41551 loss: 1.1805 +2024/02/12 22:51:14 - mmengine - INFO - Epoch(train) [9][20/78] lr: 5.2828e+00 eta: 14:53:03 time: 8.1457 data_time: 0.0042 memory: 41551 loss: 1.2072 +2024/02/12 22:52:35 - mmengine - INFO - Epoch(train) [9][30/78] lr: 5.3649e+00 eta: 14:51:13 time: 8.1287 data_time: 0.0048 memory: 41551 loss: 1.2193 +2024/02/12 22:53:56 - mmengine - INFO - Epoch(train) [9][40/78] lr: 5.4471e+00 eta: 14:49:23 time: 8.1291 data_time: 0.0050 memory: 41551 loss: 1.2039 +2024/02/12 22:55:18 - mmengine - INFO - Epoch(train) [9][50/78] lr: 5.5292e+00 eta: 14:47:36 time: 8.1509 data_time: 0.0044 memory: 41551 loss: 1.2309 +2024/02/12 22:56:39 - mmengine - INFO - Epoch(train) [9][60/78] lr: 5.6114e+00 eta: 14:45:50 time: 8.1562 data_time: 0.0047 memory: 41551 loss: 1.2285 +2024/02/12 22:58:01 - mmengine - INFO - Epoch(train) [9][70/78] lr: 5.6935e+00 eta: 14:44:04 time: 8.1449 data_time: 0.0047 memory: 41551 loss: 1.2248 +2024/02/12 22:59:06 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/12 22:59:06 - mmengine - INFO - Saving checkpoint at 9 epochs +2024/02/12 22:59:34 - mmengine - INFO - Epoch(val) [9][ 10/196] eta: 0:02:12 time: 0.7111 data_time: 0.0217 memory: 41551 +2024/02/12 22:59:41 - mmengine - INFO - Epoch(val) [9][ 20/196] eta: 0:02:03 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/12 22:59:48 - mmengine - INFO - Epoch(val) [9][ 30/196] eta: 0:01:55 time: 0.6884 data_time: 0.0015 memory: 4673 +2024/02/12 22:59:55 - mmengine - INFO - Epoch(val) [9][ 40/196] eta: 0:01:48 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/12 23:00:02 - mmengine - INFO - Epoch(val) [9][ 50/196] eta: 0:01:41 time: 0.6879 data_time: 0.0012 memory: 4673 +2024/02/12 23:00:09 - mmengine - INFO - Epoch(val) [9][ 60/196] eta: 0:01:34 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/12 23:00:16 - mmengine - INFO - Epoch(val) [9][ 70/196] eta: 0:01:27 time: 0.6884 data_time: 0.0014 memory: 4673 +2024/02/12 23:00:22 - mmengine - INFO - Epoch(val) [9][ 80/196] eta: 0:01:20 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/12 23:00:29 - mmengine - INFO - Epoch(val) [9][ 90/196] eta: 0:01:13 time: 0.6882 data_time: 0.0015 memory: 4673 +2024/02/12 23:00:36 - mmengine - INFO - Epoch(val) [9][100/196] eta: 0:01:06 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/12 23:00:43 - mmengine - INFO - Epoch(val) [9][110/196] eta: 0:00:59 time: 0.6887 data_time: 0.0015 memory: 4673 +2024/02/12 23:00:50 - mmengine - INFO - Epoch(val) [9][120/196] eta: 0:00:52 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/12 23:00:57 - mmengine - INFO - Epoch(val) [9][130/196] eta: 0:00:45 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/12 23:01:04 - mmengine - INFO - Epoch(val) [9][140/196] eta: 0:00:38 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/12 23:01:11 - mmengine - INFO - Epoch(val) [9][150/196] eta: 0:00:31 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/12 23:01:17 - mmengine - INFO - Epoch(val) [9][160/196] eta: 0:00:24 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/12 23:01:24 - mmengine - INFO - Epoch(val) [9][170/196] eta: 0:00:17 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/12 23:01:31 - mmengine - INFO - Epoch(val) [9][180/196] eta: 0:00:11 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/12 23:01:38 - mmengine - INFO - Epoch(val) [9][190/196] eta: 0:00:04 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/12 23:01:51 - mmengine - INFO - Epoch(val) [9][196/196] accuracy/top1: 74.9220 accuracy/top5: 91.5520 data_time: 0.0019 time: 0.6842 +2024/02/12 23:03:31 - mmengine - INFO - Epoch(train) [10][10/78] lr: 5.8414e+00 eta: 14:43:38 time: 10.0112 data_time: 1.3311 memory: 41551 loss: 1.1823 +2024/02/12 23:04:53 - mmengine - INFO - Epoch(train) [10][20/78] lr: 5.9235e+00 eta: 14:41:49 time: 8.1274 data_time: 0.0044 memory: 41551 loss: 1.1895 +2024/02/12 23:06:14 - mmengine - INFO - Epoch(train) [10][30/78] lr: 6.0057e+00 eta: 14:40:02 time: 8.1340 data_time: 0.0042 memory: 41551 loss: 1.1979 +2024/02/12 23:07:36 - mmengine - INFO - Epoch(train) [10][40/78] lr: 6.0878e+00 eta: 14:38:17 time: 8.1474 data_time: 0.0042 memory: 41551 loss: 1.2308 +2024/02/12 23:08:57 - mmengine - INFO - Epoch(train) [10][50/78] lr: 6.1700e+00 eta: 14:36:33 time: 8.1497 data_time: 0.0040 memory: 41551 loss: 1.2113 +2024/02/12 23:10:18 - mmengine - INFO - Epoch(train) [10][60/78] lr: 6.2521e+00 eta: 14:34:49 time: 8.1415 data_time: 0.0039 memory: 41551 loss: 1.2214 +2024/02/12 23:11:40 - mmengine - INFO - Epoch(train) [10][70/78] lr: 6.3343e+00 eta: 14:33:05 time: 8.1434 data_time: 0.0043 memory: 41551 loss: 1.2272 +2024/02/12 23:12:45 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/12 23:12:45 - mmengine - INFO - Saving checkpoint at 10 epochs +2024/02/12 23:13:14 - mmengine - INFO - Epoch(val) [10][ 10/196] eta: 0:02:12 time: 0.7106 data_time: 0.0219 memory: 41551 +2024/02/12 23:13:21 - mmengine - INFO - Epoch(val) [10][ 20/196] eta: 0:02:02 time: 0.6868 data_time: 0.0006 memory: 4673 +2024/02/12 23:13:27 - mmengine - INFO - Epoch(val) [10][ 30/196] eta: 0:01:55 time: 0.6875 data_time: 0.0014 memory: 4673 +2024/02/12 23:13:34 - mmengine - INFO - Epoch(val) [10][ 40/196] eta: 0:01:48 time: 0.6870 data_time: 0.0006 memory: 4673 +2024/02/12 23:13:41 - mmengine - INFO - Epoch(val) [10][ 50/196] eta: 0:01:41 time: 0.6879 data_time: 0.0015 memory: 4673 +2024/02/12 23:13:48 - mmengine - INFO - Epoch(val) [10][ 60/196] eta: 0:01:33 time: 0.6870 data_time: 0.0006 memory: 4673 +2024/02/12 23:13:55 - mmengine - INFO - Epoch(val) [10][ 70/196] eta: 0:01:27 time: 0.6870 data_time: 0.0006 memory: 4673 +2024/02/12 23:14:02 - mmengine - INFO - Epoch(val) [10][ 80/196] eta: 0:01:20 time: 0.6869 data_time: 0.0005 memory: 4673 +2024/02/12 23:14:09 - mmengine - INFO - Epoch(val) [10][ 90/196] eta: 0:01:13 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/12 23:14:16 - mmengine - INFO - Epoch(val) [10][100/196] eta: 0:01:06 time: 0.6869 data_time: 0.0005 memory: 4673 +2024/02/12 23:14:22 - mmengine - INFO - Epoch(val) [10][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0015 memory: 4673 +2024/02/12 23:14:29 - mmengine - INFO - Epoch(val) [10][120/196] eta: 0:00:52 time: 0.6866 data_time: 0.0005 memory: 4673 +2024/02/12 23:14:36 - mmengine - INFO - Epoch(val) [10][130/196] eta: 0:00:45 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/12 23:14:43 - mmengine - INFO - Epoch(val) [10][140/196] eta: 0:00:38 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/12 23:14:50 - mmengine - INFO - Epoch(val) [10][150/196] eta: 0:00:31 time: 0.6882 data_time: 0.0014 memory: 4673 +2024/02/12 23:14:57 - mmengine - INFO - Epoch(val) [10][160/196] eta: 0:00:24 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/12 23:15:04 - mmengine - INFO - Epoch(val) [10][170/196] eta: 0:00:17 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/12 23:15:11 - mmengine - INFO - Epoch(val) [10][180/196] eta: 0:00:11 time: 0.6876 data_time: 0.0004 memory: 4673 +2024/02/12 23:15:17 - mmengine - INFO - Epoch(val) [10][190/196] eta: 0:00:04 time: 0.6883 data_time: 0.0015 memory: 4673 +2024/02/12 23:15:30 - mmengine - INFO - Epoch(val) [10][196/196] accuracy/top1: 74.7740 accuracy/top5: 91.5920 data_time: 0.0019 time: 0.6838 +2024/02/12 23:17:10 - mmengine - INFO - Epoch(train) [11][10/78] lr: 6.4000e+00 eta: 14:32:24 time: 9.9791 data_time: 1.2571 memory: 41551 loss: 1.1915 +2024/02/12 23:18:32 - mmengine - INFO - Epoch(train) [11][20/78] lr: 6.3999e+00 eta: 14:30:40 time: 8.1484 data_time: 0.0047 memory: 41551 loss: 1.1800 +2024/02/12 23:19:53 - mmengine - INFO - Epoch(train) [11][30/78] lr: 6.3997e+00 eta: 14:28:57 time: 8.1490 data_time: 0.0043 memory: 41551 loss: 1.2020 +2024/02/12 23:21:15 - mmengine - INFO - Epoch(train) [11][40/78] lr: 6.3994e+00 eta: 14:27:14 time: 8.1373 data_time: 0.0041 memory: 41551 loss: 1.2040 +2024/02/12 23:22:36 - mmengine - INFO - Epoch(train) [11][50/78] lr: 6.3990e+00 eta: 14:25:32 time: 8.1499 data_time: 0.0045 memory: 41551 loss: 1.2236 +2024/02/12 23:23:58 - mmengine - INFO - Epoch(train) [11][60/78] lr: 6.3986e+00 eta: 14:23:50 time: 8.1531 data_time: 0.0053 memory: 41551 loss: 1.2266 +2024/02/12 23:25:19 - mmengine - INFO - Epoch(train) [11][70/78] lr: 6.3981e+00 eta: 14:22:10 time: 8.1571 data_time: 0.0052 memory: 41551 loss: 1.2194 +2024/02/12 23:26:24 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/12 23:26:24 - mmengine - INFO - Saving checkpoint at 11 epochs +2024/02/12 23:26:53 - mmengine - INFO - Epoch(val) [11][ 10/196] eta: 0:02:12 time: 0.7101 data_time: 0.0222 memory: 41551 +2024/02/12 23:27:00 - mmengine - INFO - Epoch(val) [11][ 20/196] eta: 0:02:02 time: 0.6866 data_time: 0.0006 memory: 4673 +2024/02/12 23:27:07 - mmengine - INFO - Epoch(val) [11][ 30/196] eta: 0:01:55 time: 0.6863 data_time: 0.0005 memory: 4673 +2024/02/12 23:27:14 - mmengine - INFO - Epoch(val) [11][ 40/196] eta: 0:01:48 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/12 23:27:20 - mmengine - INFO - Epoch(val) [11][ 50/196] eta: 0:01:40 time: 0.6871 data_time: 0.0005 memory: 4673 +2024/02/12 23:27:27 - mmengine - INFO - Epoch(val) [11][ 60/196] eta: 0:01:33 time: 0.6871 data_time: 0.0008 memory: 4673 +2024/02/12 23:27:34 - mmengine - INFO - Epoch(val) [11][ 70/196] eta: 0:01:26 time: 0.6870 data_time: 0.0005 memory: 4673 +2024/02/12 23:27:41 - mmengine - INFO - Epoch(val) [11][ 80/196] eta: 0:01:20 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/12 23:27:48 - mmengine - INFO - Epoch(val) [11][ 90/196] eta: 0:01:13 time: 0.6878 data_time: 0.0013 memory: 4673 +2024/02/12 23:27:55 - mmengine - INFO - Epoch(val) [11][100/196] eta: 0:01:06 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/12 23:28:02 - mmengine - INFO - Epoch(val) [11][110/196] eta: 0:00:59 time: 0.6877 data_time: 0.0014 memory: 4673 +2024/02/12 23:28:09 - mmengine - INFO - Epoch(val) [11][120/196] eta: 0:00:52 time: 0.6867 data_time: 0.0005 memory: 4673 +2024/02/12 23:28:15 - mmengine - INFO - Epoch(val) [11][130/196] eta: 0:00:45 time: 0.6878 data_time: 0.0016 memory: 4673 +2024/02/12 23:28:22 - mmengine - INFO - Epoch(val) [11][140/196] eta: 0:00:38 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/12 23:28:29 - mmengine - INFO - Epoch(val) [11][150/196] eta: 0:00:31 time: 0.6868 data_time: 0.0005 memory: 4673 +2024/02/12 23:28:36 - mmengine - INFO - Epoch(val) [11][160/196] eta: 0:00:24 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/12 23:28:43 - mmengine - INFO - Epoch(val) [11][170/196] eta: 0:00:17 time: 0.6886 data_time: 0.0016 memory: 4673 +2024/02/12 23:28:50 - mmengine - INFO - Epoch(val) [11][180/196] eta: 0:00:11 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/12 23:28:57 - mmengine - INFO - Epoch(val) [11][190/196] eta: 0:00:04 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/12 23:29:10 - mmengine - INFO - Epoch(val) [11][196/196] accuracy/top1: 74.7240 accuracy/top5: 91.6240 data_time: 0.0019 time: 0.6838 +2024/02/12 23:30:44 - mmengine - INFO - Epoch(train) [12][10/78] lr: 6.3969e+00 eta: 14:20:37 time: 9.3982 data_time: 1.2521 memory: 41551 loss: 1.1885 +2024/02/12 23:32:05 - mmengine - INFO - Epoch(train) [12][20/78] lr: 6.3962e+00 eta: 14:18:54 time: 8.1238 data_time: 0.0050 memory: 41551 loss: 1.1679 +2024/02/12 23:33:26 - mmengine - INFO - Epoch(train) [12][30/78] lr: 6.3954e+00 eta: 14:17:13 time: 8.1484 data_time: 0.0056 memory: 41551 loss: 1.2013 +2024/02/12 23:34:48 - mmengine - INFO - Epoch(train) [12][40/78] lr: 6.3944e+00 eta: 14:15:33 time: 8.1412 data_time: 0.0057 memory: 41551 loss: 1.1845 +2024/02/12 23:36:09 - mmengine - INFO - Epoch(train) [12][50/78] lr: 6.3935e+00 eta: 14:13:52 time: 8.1331 data_time: 0.0043 memory: 41551 loss: 1.2199 +2024/02/12 23:37:31 - mmengine - INFO - Epoch(train) [12][60/78] lr: 6.3924e+00 eta: 14:12:12 time: 8.1379 data_time: 0.0050 memory: 41551 loss: 1.2202 +2024/02/12 23:38:52 - mmengine - INFO - Epoch(train) [12][70/78] lr: 6.3912e+00 eta: 14:10:33 time: 8.1528 data_time: 0.0050 memory: 41551 loss: 1.2136 +2024/02/12 23:39:57 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/12 23:39:57 - mmengine - INFO - Saving checkpoint at 12 epochs +2024/02/12 23:40:26 - mmengine - INFO - Epoch(val) [12][ 10/196] eta: 0:02:12 time: 0.7115 data_time: 0.0218 memory: 41551 +2024/02/12 23:40:33 - mmengine - INFO - Epoch(val) [12][ 20/196] eta: 0:02:03 time: 0.6870 data_time: 0.0007 memory: 4673 +2024/02/12 23:40:40 - mmengine - INFO - Epoch(val) [12][ 30/196] eta: 0:01:55 time: 0.6869 data_time: 0.0005 memory: 4673 +2024/02/12 23:40:46 - mmengine - INFO - Epoch(val) [12][ 40/196] eta: 0:01:48 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/12 23:40:53 - mmengine - INFO - Epoch(val) [12][ 50/196] eta: 0:01:41 time: 0.6879 data_time: 0.0009 memory: 4673 +2024/02/12 23:41:00 - mmengine - INFO - Epoch(val) [12][ 60/196] eta: 0:01:34 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/12 23:41:07 - mmengine - INFO - Epoch(val) [12][ 70/196] eta: 0:01:27 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/12 23:41:14 - mmengine - INFO - Epoch(val) [12][ 80/196] eta: 0:01:20 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/12 23:41:21 - mmengine - INFO - Epoch(val) [12][ 90/196] eta: 0:01:13 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/12 23:41:28 - mmengine - INFO - Epoch(val) [12][100/196] eta: 0:01:06 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/12 23:41:35 - mmengine - INFO - Epoch(val) [12][110/196] eta: 0:00:59 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/12 23:41:41 - mmengine - INFO - Epoch(val) [12][120/196] eta: 0:00:52 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/12 23:41:48 - mmengine - INFO - Epoch(val) [12][130/196] eta: 0:00:45 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/12 23:41:55 - mmengine - INFO - Epoch(val) [12][140/196] eta: 0:00:38 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/12 23:42:02 - mmengine - INFO - Epoch(val) [12][150/196] eta: 0:00:31 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/12 23:42:09 - mmengine - INFO - Epoch(val) [12][160/196] eta: 0:00:24 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/12 23:42:16 - mmengine - INFO - Epoch(val) [12][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/12 23:42:23 - mmengine - INFO - Epoch(val) [12][180/196] eta: 0:00:11 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/12 23:42:30 - mmengine - INFO - Epoch(val) [12][190/196] eta: 0:00:04 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/12 23:42:42 - mmengine - INFO - Epoch(val) [12][196/196] accuracy/top1: 75.1280 accuracy/top5: 91.5840 data_time: 0.0017 time: 0.6842 +2024/02/12 23:44:17 - mmengine - INFO - Epoch(train) [13][10/78] lr: 6.3890e+00 eta: 14:08:58 time: 9.4435 data_time: 1.2689 memory: 41551 loss: 1.1764 +2024/02/12 23:45:38 - mmengine - INFO - Epoch(train) [13][20/78] lr: 6.3876e+00 eta: 14:07:19 time: 8.1378 data_time: 0.0042 memory: 41551 loss: 1.2035 +2024/02/12 23:47:00 - mmengine - INFO - Epoch(train) [13][30/78] lr: 6.3861e+00 eta: 14:05:40 time: 8.1454 data_time: 0.0046 memory: 41551 loss: 1.2007 +2024/02/12 23:48:21 - mmengine - INFO - Epoch(train) [13][40/78] lr: 6.3846e+00 eta: 14:04:02 time: 8.1452 data_time: 0.0045 memory: 41551 loss: 1.2321 +2024/02/12 23:49:43 - mmengine - INFO - Epoch(train) [13][50/78] lr: 6.3830e+00 eta: 14:02:23 time: 8.1417 data_time: 0.0053 memory: 41551 loss: 1.1957 +2024/02/12 23:51:04 - mmengine - INFO - Epoch(train) [13][60/78] lr: 6.3813e+00 eta: 14:00:45 time: 8.1438 data_time: 0.0057 memory: 41551 loss: 1.2092 +2024/02/12 23:51:36 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/12 23:52:25 - mmengine - INFO - Epoch(train) [13][70/78] lr: 6.3795e+00 eta: 13:59:08 time: 8.1409 data_time: 0.0050 memory: 41551 loss: 1.2092 +2024/02/12 23:53:30 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/12 23:53:30 - mmengine - INFO - Saving checkpoint at 13 epochs +2024/02/12 23:53:59 - mmengine - INFO - Epoch(val) [13][ 10/196] eta: 0:02:12 time: 0.7115 data_time: 0.0223 memory: 41551 +2024/02/12 23:54:06 - mmengine - INFO - Epoch(val) [13][ 20/196] eta: 0:02:03 time: 0.6873 data_time: 0.0008 memory: 4673 +2024/02/12 23:54:13 - mmengine - INFO - Epoch(val) [13][ 30/196] eta: 0:01:55 time: 0.6874 data_time: 0.0008 memory: 4673 +2024/02/12 23:54:20 - mmengine - INFO - Epoch(val) [13][ 40/196] eta: 0:01:48 time: 0.6879 data_time: 0.0009 memory: 4673 +2024/02/12 23:54:26 - mmengine - INFO - Epoch(val) [13][ 50/196] eta: 0:01:41 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/12 23:54:33 - mmengine - INFO - Epoch(val) [13][ 60/196] eta: 0:01:34 time: 0.6883 data_time: 0.0010 memory: 4673 +2024/02/12 23:54:40 - mmengine - INFO - Epoch(val) [13][ 70/196] eta: 0:01:27 time: 0.6878 data_time: 0.0008 memory: 4673 +2024/02/12 23:54:47 - mmengine - INFO - Epoch(val) [13][ 80/196] eta: 0:01:20 time: 0.6877 data_time: 0.0008 memory: 4673 +2024/02/12 23:54:54 - mmengine - INFO - Epoch(val) [13][ 90/196] eta: 0:01:13 time: 0.6883 data_time: 0.0009 memory: 4673 +2024/02/12 23:55:01 - mmengine - INFO - Epoch(val) [13][100/196] eta: 0:01:06 time: 0.6886 data_time: 0.0009 memory: 4673 +2024/02/12 23:55:08 - mmengine - INFO - Epoch(val) [13][110/196] eta: 0:00:59 time: 0.6884 data_time: 0.0008 memory: 4673 +2024/02/12 23:55:15 - mmengine - INFO - Epoch(val) [13][120/196] eta: 0:00:52 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/12 23:55:22 - mmengine - INFO - Epoch(val) [13][130/196] eta: 0:00:45 time: 0.6882 data_time: 0.0008 memory: 4673 +2024/02/12 23:55:28 - mmengine - INFO - Epoch(val) [13][140/196] eta: 0:00:38 time: 0.6883 data_time: 0.0009 memory: 4673 +2024/02/12 23:55:35 - mmengine - INFO - Epoch(val) [13][150/196] eta: 0:00:31 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/12 23:55:42 - mmengine - INFO - Epoch(val) [13][160/196] eta: 0:00:24 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/12 23:55:49 - mmengine - INFO - Epoch(val) [13][170/196] eta: 0:00:17 time: 0.6884 data_time: 0.0013 memory: 4673 +2024/02/12 23:55:56 - mmengine - INFO - Epoch(val) [13][180/196] eta: 0:00:11 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/12 23:56:03 - mmengine - INFO - Epoch(val) [13][190/196] eta: 0:00:04 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/12 23:56:16 - mmengine - INFO - Epoch(val) [13][196/196] accuracy/top1: 74.9260 accuracy/top5: 91.6940 data_time: 0.0019 time: 0.6844 +2024/02/12 23:57:50 - mmengine - INFO - Epoch(train) [14][10/78] lr: 6.3761e+00 eta: 13:57:28 time: 9.4309 data_time: 1.2698 memory: 41551 loss: 1.1646 +2024/02/12 23:59:11 - mmengine - INFO - Epoch(train) [14][20/78] lr: 6.3741e+00 eta: 13:55:50 time: 8.1387 data_time: 0.0050 memory: 41551 loss: 1.1653 +2024/02/13 00:00:33 - mmengine - INFO - Epoch(train) [14][30/78] lr: 6.3720e+00 eta: 13:54:12 time: 8.1389 data_time: 0.0052 memory: 41551 loss: 1.1726 +2024/02/13 00:01:54 - mmengine - INFO - Epoch(train) [14][40/78] lr: 6.3698e+00 eta: 13:52:35 time: 8.1406 data_time: 0.0045 memory: 41551 loss: 1.2107 +2024/02/13 00:03:16 - mmengine - INFO - Epoch(train) [14][50/78] lr: 6.3676e+00 eta: 13:50:58 time: 8.1321 data_time: 0.0046 memory: 41551 loss: 1.2102 +2024/02/13 00:04:37 - mmengine - INFO - Epoch(train) [14][60/78] lr: 6.3652e+00 eta: 13:49:21 time: 8.1364 data_time: 0.0051 memory: 41551 loss: 1.1914 +2024/02/13 00:05:58 - mmengine - INFO - Epoch(train) [14][70/78] lr: 6.3628e+00 eta: 13:47:45 time: 8.1410 data_time: 0.0042 memory: 41551 loss: 1.1934 +2024/02/13 00:07:03 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 00:07:03 - mmengine - INFO - Saving checkpoint at 14 epochs +2024/02/13 00:07:33 - mmengine - INFO - Epoch(val) [14][ 10/196] eta: 0:02:12 time: 0.7120 data_time: 0.0222 memory: 41551 +2024/02/13 00:07:40 - mmengine - INFO - Epoch(val) [14][ 20/196] eta: 0:02:03 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 00:07:46 - mmengine - INFO - Epoch(val) [14][ 30/196] eta: 0:01:55 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 00:07:53 - mmengine - INFO - Epoch(val) [14][ 40/196] eta: 0:01:48 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 00:08:00 - mmengine - INFO - Epoch(val) [14][ 50/196] eta: 0:01:41 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 00:08:07 - mmengine - INFO - Epoch(val) [14][ 60/196] eta: 0:01:34 time: 0.6871 data_time: 0.0005 memory: 4673 +2024/02/13 00:08:14 - mmengine - INFO - Epoch(val) [14][ 70/196] eta: 0:01:27 time: 0.6879 data_time: 0.0013 memory: 4673 +2024/02/13 00:08:21 - mmengine - INFO - Epoch(val) [14][ 80/196] eta: 0:01:20 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 00:08:28 - mmengine - INFO - Epoch(val) [14][ 90/196] eta: 0:01:13 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 00:08:35 - mmengine - INFO - Epoch(val) [14][100/196] eta: 0:01:06 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 00:08:41 - mmengine - INFO - Epoch(val) [14][110/196] eta: 0:00:59 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 00:08:48 - mmengine - INFO - Epoch(val) [14][120/196] eta: 0:00:52 time: 0.6869 data_time: 0.0005 memory: 4673 +2024/02/13 00:08:55 - mmengine - INFO - Epoch(val) [14][130/196] eta: 0:00:45 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 00:09:02 - mmengine - INFO - Epoch(val) [14][140/196] eta: 0:00:38 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/13 00:09:09 - mmengine - INFO - Epoch(val) [14][150/196] eta: 0:00:31 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 00:09:16 - mmengine - INFO - Epoch(val) [14][160/196] eta: 0:00:24 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/13 00:09:23 - mmengine - INFO - Epoch(val) [14][170/196] eta: 0:00:17 time: 0.6881 data_time: 0.0012 memory: 4673 +2024/02/13 00:09:30 - mmengine - INFO - Epoch(val) [14][180/196] eta: 0:00:11 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/13 00:09:36 - mmengine - INFO - Epoch(val) [14][190/196] eta: 0:00:04 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 00:09:49 - mmengine - INFO - Epoch(val) [14][196/196] accuracy/top1: 74.8060 accuracy/top5: 91.6420 data_time: 0.0018 time: 0.6839 +2024/02/13 00:11:24 - mmengine - INFO - Epoch(train) [15][10/78] lr: 6.3583e+00 eta: 13:46:03 time: 9.4575 data_time: 1.2771 memory: 41551 loss: 1.1643 +2024/02/13 00:12:45 - mmengine - INFO - Epoch(train) [15][20/78] lr: 6.3557e+00 eta: 13:44:27 time: 8.1356 data_time: 0.0045 memory: 41551 loss: 1.1998 +2024/02/13 00:14:07 - mmengine - INFO - Epoch(train) [15][30/78] lr: 6.3530e+00 eta: 13:42:51 time: 8.1467 data_time: 0.0046 memory: 41551 loss: 1.1553 +2024/02/13 00:15:28 - mmengine - INFO - Epoch(train) [15][40/78] lr: 6.3502e+00 eta: 13:41:16 time: 8.1478 data_time: 0.0045 memory: 41551 loss: 1.2131 +2024/02/13 00:16:50 - mmengine - INFO - Epoch(train) [15][50/78] lr: 6.3473e+00 eta: 13:39:40 time: 8.1382 data_time: 0.0051 memory: 41551 loss: 1.1913 +2024/02/13 00:18:11 - mmengine - INFO - Epoch(train) [15][60/78] lr: 6.3443e+00 eta: 13:38:05 time: 8.1368 data_time: 0.0041 memory: 41551 loss: 1.1753 +2024/02/13 00:19:32 - mmengine - INFO - Epoch(train) [15][70/78] lr: 6.3413e+00 eta: 13:36:30 time: 8.1474 data_time: 0.0041 memory: 41551 loss: 1.2158 +2024/02/13 00:20:38 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 00:20:38 - mmengine - INFO - Saving checkpoint at 15 epochs +2024/02/13 00:21:06 - mmengine - INFO - Epoch(val) [15][ 10/196] eta: 0:02:12 time: 0.7142 data_time: 0.0237 memory: 41551 +2024/02/13 00:21:13 - mmengine - INFO - Epoch(val) [15][ 20/196] eta: 0:02:03 time: 0.6866 data_time: 0.0006 memory: 4673 +2024/02/13 00:21:20 - mmengine - INFO - Epoch(val) [15][ 30/196] eta: 0:01:55 time: 0.6866 data_time: 0.0007 memory: 4673 +2024/02/13 00:21:27 - mmengine - INFO - Epoch(val) [15][ 40/196] eta: 0:01:48 time: 0.6868 data_time: 0.0005 memory: 4673 +2024/02/13 00:21:34 - mmengine - INFO - Epoch(val) [15][ 50/196] eta: 0:01:41 time: 0.6960 data_time: 0.0016 memory: 4673 +2024/02/13 00:21:41 - mmengine - INFO - Epoch(val) [15][ 60/196] eta: 0:01:34 time: 0.6869 data_time: 0.0005 memory: 4673 +2024/02/13 00:21:47 - mmengine - INFO - Epoch(val) [15][ 70/196] eta: 0:01:27 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/13 00:21:54 - mmengine - INFO - Epoch(val) [15][ 80/196] eta: 0:01:20 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/13 00:22:01 - mmengine - INFO - Epoch(val) [15][ 90/196] eta: 0:01:13 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 00:22:08 - mmengine - INFO - Epoch(val) [15][100/196] eta: 0:01:06 time: 0.6868 data_time: 0.0005 memory: 4673 +2024/02/13 00:22:15 - mmengine - INFO - Epoch(val) [15][110/196] eta: 0:00:59 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 00:22:22 - mmengine - INFO - Epoch(val) [15][120/196] eta: 0:00:52 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 00:22:29 - mmengine - INFO - Epoch(val) [15][130/196] eta: 0:00:45 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 00:22:35 - mmengine - INFO - Epoch(val) [15][140/196] eta: 0:00:38 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/13 00:22:42 - mmengine - INFO - Epoch(val) [15][150/196] eta: 0:00:31 time: 0.6883 data_time: 0.0014 memory: 4673 +2024/02/13 00:22:49 - mmengine - INFO - Epoch(val) [15][160/196] eta: 0:00:24 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 00:22:56 - mmengine - INFO - Epoch(val) [15][170/196] eta: 0:00:17 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 00:23:03 - mmengine - INFO - Epoch(val) [15][180/196] eta: 0:00:11 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 00:23:10 - mmengine - INFO - Epoch(val) [15][190/196] eta: 0:00:04 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 00:23:23 - mmengine - INFO - Epoch(val) [15][196/196] accuracy/top1: 74.7400 accuracy/top5: 91.5560 data_time: 0.0019 time: 0.6844 +2024/02/13 00:25:03 - mmengine - INFO - Epoch(train) [16][10/78] lr: 6.3357e+00 eta: 13:35:12 time: 10.0155 data_time: 1.8918 memory: 41551 loss: 1.1767 +2024/02/13 00:26:24 - mmengine - INFO - Epoch(train) [16][20/78] lr: 6.3324e+00 eta: 13:33:38 time: 8.1596 data_time: 0.0043 memory: 41551 loss: 1.1798 +2024/02/13 00:27:46 - mmengine - INFO - Epoch(train) [16][30/78] lr: 6.3291e+00 eta: 13:32:04 time: 8.1570 data_time: 0.0047 memory: 41551 loss: 1.2066 +2024/02/13 00:29:08 - mmengine - INFO - Epoch(train) [16][40/78] lr: 6.3257e+00 eta: 13:30:30 time: 8.1518 data_time: 0.0057 memory: 41551 loss: 1.2009 +2024/02/13 00:30:29 - mmengine - INFO - Epoch(train) [16][50/78] lr: 6.3222e+00 eta: 13:28:56 time: 8.1606 data_time: 0.0047 memory: 41551 loss: 1.2028 +2024/02/13 00:31:51 - mmengine - INFO - Epoch(train) [16][60/78] lr: 6.3186e+00 eta: 13:27:22 time: 8.1497 data_time: 0.0043 memory: 41551 loss: 1.2321 +2024/02/13 00:33:12 - mmengine - INFO - Epoch(train) [16][70/78] lr: 6.3149e+00 eta: 13:25:48 time: 8.1427 data_time: 0.0056 memory: 41551 loss: 1.2168 +2024/02/13 00:34:17 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 00:34:17 - mmengine - INFO - Saving checkpoint at 16 epochs +2024/02/13 00:34:46 - mmengine - INFO - Epoch(val) [16][ 10/196] eta: 0:02:12 time: 0.7124 data_time: 0.0220 memory: 41551 +2024/02/13 00:34:53 - mmengine - INFO - Epoch(val) [16][ 20/196] eta: 0:02:03 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/13 00:35:00 - mmengine - INFO - Epoch(val) [16][ 30/196] eta: 0:01:55 time: 0.6873 data_time: 0.0008 memory: 4673 +2024/02/13 00:35:07 - mmengine - INFO - Epoch(val) [16][ 40/196] eta: 0:01:48 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 00:35:14 - mmengine - INFO - Epoch(val) [16][ 50/196] eta: 0:01:41 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 00:35:20 - mmengine - INFO - Epoch(val) [16][ 60/196] eta: 0:01:34 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 00:35:27 - mmengine - INFO - Epoch(val) [16][ 70/196] eta: 0:01:27 time: 0.6884 data_time: 0.0014 memory: 4673 +2024/02/13 00:35:34 - mmengine - INFO - Epoch(val) [16][ 80/196] eta: 0:01:20 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 00:35:41 - mmengine - INFO - Epoch(val) [16][ 90/196] eta: 0:01:13 time: 0.6877 data_time: 0.0008 memory: 4673 +2024/02/13 00:35:48 - mmengine - INFO - Epoch(val) [16][100/196] eta: 0:01:06 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 00:35:55 - mmengine - INFO - Epoch(val) [16][110/196] eta: 0:00:59 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 00:36:02 - mmengine - INFO - Epoch(val) [16][120/196] eta: 0:00:52 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 00:36:09 - mmengine - INFO - Epoch(val) [16][130/196] eta: 0:00:45 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 00:36:15 - mmengine - INFO - Epoch(val) [16][140/196] eta: 0:00:38 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 00:36:22 - mmengine - INFO - Epoch(val) [16][150/196] eta: 0:00:31 time: 0.6886 data_time: 0.0015 memory: 4673 +2024/02/13 00:36:29 - mmengine - INFO - Epoch(val) [16][160/196] eta: 0:00:24 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 00:36:36 - mmengine - INFO - Epoch(val) [16][170/196] eta: 0:00:17 time: 0.6877 data_time: 0.0009 memory: 4673 +2024/02/13 00:36:43 - mmengine - INFO - Epoch(val) [16][180/196] eta: 0:00:11 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 00:36:50 - mmengine - INFO - Epoch(val) [16][190/196] eta: 0:00:04 time: 0.6881 data_time: 0.0015 memory: 4673 +2024/02/13 00:37:03 - mmengine - INFO - Epoch(val) [16][196/196] accuracy/top1: 74.8660 accuracy/top5: 91.4380 data_time: 0.0018 time: 0.6843 +2024/02/13 00:38:43 - mmengine - INFO - Epoch(train) [17][10/78] lr: 6.3082e+00 eta: 13:24:25 time: 10.0278 data_time: 1.2794 memory: 41551 loss: 1.1512 +2024/02/13 00:40:05 - mmengine - INFO - Epoch(train) [17][20/78] lr: 6.3043e+00 eta: 13:22:52 time: 8.1620 data_time: 0.0044 memory: 41551 loss: 1.2020 +2024/02/13 00:41:26 - mmengine - INFO - Epoch(train) [17][30/78] lr: 6.3003e+00 eta: 13:21:18 time: 8.1432 data_time: 0.0046 memory: 41551 loss: 1.1869 +2024/02/13 00:42:48 - mmengine - INFO - Epoch(train) [17][40/78] lr: 6.2963e+00 eta: 13:19:44 time: 8.1429 data_time: 0.0041 memory: 41551 loss: 1.1819 +2024/02/13 00:44:09 - mmengine - INFO - Epoch(train) [17][50/78] lr: 6.2922e+00 eta: 13:18:11 time: 8.1600 data_time: 0.0045 memory: 41551 loss: 1.2079 +2024/02/13 00:45:31 - mmengine - INFO - Epoch(train) [17][60/78] lr: 6.2880e+00 eta: 13:16:37 time: 8.1458 data_time: 0.0044 memory: 41551 loss: 1.2346 +2024/02/13 00:46:52 - mmengine - INFO - Epoch(train) [17][70/78] lr: 6.2838e+00 eta: 13:15:04 time: 8.1545 data_time: 0.0057 memory: 41551 loss: 1.2082 +2024/02/13 00:47:57 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 00:47:57 - mmengine - INFO - Saving checkpoint at 17 epochs +2024/02/13 00:48:26 - mmengine - INFO - Epoch(val) [17][ 10/196] eta: 0:02:12 time: 0.7124 data_time: 0.0219 memory: 41551 +2024/02/13 00:48:33 - mmengine - INFO - Epoch(val) [17][ 20/196] eta: 0:02:03 time: 0.6874 data_time: 0.0008 memory: 4673 +2024/02/13 00:48:40 - mmengine - INFO - Epoch(val) [17][ 30/196] eta: 0:01:55 time: 0.6876 data_time: 0.0014 memory: 4673 +2024/02/13 00:48:47 - mmengine - INFO - Epoch(val) [17][ 40/196] eta: 0:01:48 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/13 00:48:53 - mmengine - INFO - Epoch(val) [17][ 50/196] eta: 0:01:41 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 00:49:00 - mmengine - INFO - Epoch(val) [17][ 60/196] eta: 0:01:34 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 00:49:07 - mmengine - INFO - Epoch(val) [17][ 70/196] eta: 0:01:27 time: 0.6881 data_time: 0.0012 memory: 4673 +2024/02/13 00:49:14 - mmengine - INFO - Epoch(val) [17][ 80/196] eta: 0:01:20 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 00:49:21 - mmengine - INFO - Epoch(val) [17][ 90/196] eta: 0:01:13 time: 0.6870 data_time: 0.0006 memory: 4673 +2024/02/13 00:49:28 - mmengine - INFO - Epoch(val) [17][100/196] eta: 0:01:06 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 00:49:35 - mmengine - INFO - Epoch(val) [17][110/196] eta: 0:00:59 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/13 00:49:42 - mmengine - INFO - Epoch(val) [17][120/196] eta: 0:00:52 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 00:49:48 - mmengine - INFO - Epoch(val) [17][130/196] eta: 0:00:45 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 00:49:55 - mmengine - INFO - Epoch(val) [17][140/196] eta: 0:00:38 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 00:50:02 - mmengine - INFO - Epoch(val) [17][150/196] eta: 0:00:31 time: 0.6885 data_time: 0.0016 memory: 4673 +2024/02/13 00:50:09 - mmengine - INFO - Epoch(val) [17][160/196] eta: 0:00:24 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 00:50:16 - mmengine - INFO - Epoch(val) [17][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 00:50:23 - mmengine - INFO - Epoch(val) [17][180/196] eta: 0:00:11 time: 0.6877 data_time: 0.0008 memory: 4673 +2024/02/13 00:50:30 - mmengine - INFO - Epoch(val) [17][190/196] eta: 0:00:04 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 00:50:43 - mmengine - INFO - Epoch(val) [17][196/196] accuracy/top1: 74.8400 accuracy/top5: 91.6120 data_time: 0.0018 time: 0.6841 +2024/02/13 00:52:17 - mmengine - INFO - Epoch(train) [18][10/78] lr: 6.2759e+00 eta: 13:13:11 time: 9.4108 data_time: 1.2742 memory: 41551 loss: 1.1756 +2024/02/13 00:53:38 - mmengine - INFO - Epoch(train) [18][20/78] lr: 6.2714e+00 eta: 13:11:36 time: 8.1245 data_time: 0.0047 memory: 41551 loss: 1.1692 +2024/02/13 00:55:00 - mmengine - INFO - Epoch(train) [18][30/78] lr: 6.2668e+00 eta: 13:10:04 time: 8.1591 data_time: 0.0046 memory: 41551 loss: 1.2168 +2024/02/13 00:56:21 - mmengine - INFO - Epoch(train) [18][40/78] lr: 6.2622e+00 eta: 13:08:31 time: 8.1464 data_time: 0.0044 memory: 41551 loss: 1.2025 +2024/02/13 00:57:42 - mmengine - INFO - Epoch(train) [18][50/78] lr: 6.2575e+00 eta: 13:06:58 time: 8.1416 data_time: 0.0049 memory: 41551 loss: 1.1814 +2024/02/13 00:59:04 - mmengine - INFO - Epoch(train) [18][60/78] lr: 6.2527e+00 eta: 13:05:26 time: 8.1591 data_time: 0.0052 memory: 41551 loss: 1.2258 +2024/02/13 01:00:26 - mmengine - INFO - Epoch(train) [18][70/78] lr: 6.2478e+00 eta: 13:03:54 time: 8.1535 data_time: 0.0044 memory: 41551 loss: 1.2134 +2024/02/13 01:01:31 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 01:01:31 - mmengine - INFO - Saving checkpoint at 18 epochs +2024/02/13 01:01:59 - mmengine - INFO - Epoch(val) [18][ 10/196] eta: 0:02:12 time: 0.7116 data_time: 0.0218 memory: 41551 +2024/02/13 01:02:06 - mmengine - INFO - Epoch(val) [18][ 20/196] eta: 0:02:03 time: 0.6869 data_time: 0.0006 memory: 4673 +2024/02/13 01:02:13 - mmengine - INFO - Epoch(val) [18][ 30/196] eta: 0:01:55 time: 0.6870 data_time: 0.0006 memory: 4673 +2024/02/13 01:02:20 - mmengine - INFO - Epoch(val) [18][ 40/196] eta: 0:01:48 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 01:02:27 - mmengine - INFO - Epoch(val) [18][ 50/196] eta: 0:01:41 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 01:02:34 - mmengine - INFO - Epoch(val) [18][ 60/196] eta: 0:01:34 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 01:02:40 - mmengine - INFO - Epoch(val) [18][ 70/196] eta: 0:01:27 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 01:02:47 - mmengine - INFO - Epoch(val) [18][ 80/196] eta: 0:01:20 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 01:02:54 - mmengine - INFO - Epoch(val) [18][ 90/196] eta: 0:01:13 time: 0.6882 data_time: 0.0013 memory: 4673 +2024/02/13 01:03:01 - mmengine - INFO - Epoch(val) [18][100/196] eta: 0:01:06 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 01:03:08 - mmengine - INFO - Epoch(val) [18][110/196] eta: 0:00:59 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 01:03:15 - mmengine - INFO - Epoch(val) [18][120/196] eta: 0:00:52 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 01:03:22 - mmengine - INFO - Epoch(val) [18][130/196] eta: 0:00:45 time: 0.6871 data_time: 0.0005 memory: 4673 +2024/02/13 01:03:29 - mmengine - INFO - Epoch(val) [18][140/196] eta: 0:00:38 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 01:03:35 - mmengine - INFO - Epoch(val) [18][150/196] eta: 0:00:31 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 01:03:42 - mmengine - INFO - Epoch(val) [18][160/196] eta: 0:00:24 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 01:03:49 - mmengine - INFO - Epoch(val) [18][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 01:03:56 - mmengine - INFO - Epoch(val) [18][180/196] eta: 0:00:11 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 01:04:03 - mmengine - INFO - Epoch(val) [18][190/196] eta: 0:00:04 time: 0.6882 data_time: 0.0013 memory: 4673 +2024/02/13 01:04:16 - mmengine - INFO - Epoch(val) [18][196/196] accuracy/top1: 74.6800 accuracy/top5: 91.4900 data_time: 0.0018 time: 0.6841 +2024/02/13 01:05:55 - mmengine - INFO - Epoch(train) [19][10/78] lr: 6.2389e+00 eta: 13:02:16 time: 9.8808 data_time: 1.7518 memory: 41551 loss: 1.1674 +2024/02/13 01:07:16 - mmengine - INFO - Epoch(train) [19][20/78] lr: 6.2338e+00 eta: 13:00:44 time: 8.1533 data_time: 0.0041 memory: 41551 loss: 1.1883 +2024/02/13 01:08:38 - mmengine - INFO - Epoch(train) [19][30/78] lr: 6.2286e+00 eta: 12:59:12 time: 8.1562 data_time: 0.0045 memory: 41551 loss: 1.1979 +2024/02/13 01:09:59 - mmengine - INFO - Epoch(train) [19][40/78] lr: 6.2234e+00 eta: 12:57:39 time: 8.1431 data_time: 0.0042 memory: 41551 loss: 1.2084 +2024/02/13 01:11:21 - mmengine - INFO - Epoch(train) [19][50/78] lr: 6.2181e+00 eta: 12:56:07 time: 8.1422 data_time: 0.0052 memory: 41551 loss: 1.2203 +2024/02/13 01:12:42 - mmengine - INFO - Epoch(train) [19][60/78] lr: 6.2127e+00 eta: 12:54:35 time: 8.1459 data_time: 0.0046 memory: 41551 loss: 1.2236 +2024/02/13 01:14:04 - mmengine - INFO - Epoch(train) [19][70/78] lr: 6.2072e+00 eta: 12:53:03 time: 8.1478 data_time: 0.0046 memory: 41551 loss: 1.2156 +2024/02/13 01:15:09 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 01:15:09 - mmengine - INFO - Saving checkpoint at 19 epochs +2024/02/13 01:15:37 - mmengine - INFO - Epoch(val) [19][ 10/196] eta: 0:02:12 time: 0.7106 data_time: 0.0220 memory: 41551 +2024/02/13 01:15:44 - mmengine - INFO - Epoch(val) [19][ 20/196] eta: 0:02:02 time: 0.6867 data_time: 0.0006 memory: 4673 +2024/02/13 01:15:50 - mmengine - INFO - Epoch(val) [19][ 30/196] eta: 0:01:55 time: 0.6866 data_time: 0.0007 memory: 4673 +2024/02/13 01:15:57 - mmengine - INFO - Epoch(val) [19][ 40/196] eta: 0:01:48 time: 0.6866 data_time: 0.0006 memory: 4673 +2024/02/13 01:16:04 - mmengine - INFO - Epoch(val) [19][ 50/196] eta: 0:01:40 time: 0.6873 data_time: 0.0011 memory: 4673 +2024/02/13 01:16:11 - mmengine - INFO - Epoch(val) [19][ 60/196] eta: 0:01:33 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 01:16:18 - mmengine - INFO - Epoch(val) [19][ 70/196] eta: 0:01:26 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 01:16:25 - mmengine - INFO - Epoch(val) [19][ 80/196] eta: 0:01:20 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 01:16:32 - mmengine - INFO - Epoch(val) [19][ 90/196] eta: 0:01:13 time: 0.6886 data_time: 0.0014 memory: 4673 +2024/02/13 01:16:39 - mmengine - INFO - Epoch(val) [19][100/196] eta: 0:01:06 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 01:16:45 - mmengine - INFO - Epoch(val) [19][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/13 01:16:52 - mmengine - INFO - Epoch(val) [19][120/196] eta: 0:00:52 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 01:16:59 - mmengine - INFO - Epoch(val) [19][130/196] eta: 0:00:45 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 01:17:06 - mmengine - INFO - Epoch(val) [19][140/196] eta: 0:00:38 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 01:17:13 - mmengine - INFO - Epoch(val) [19][150/196] eta: 0:00:31 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 01:17:20 - mmengine - INFO - Epoch(val) [19][160/196] eta: 0:00:24 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 01:17:27 - mmengine - INFO - Epoch(val) [19][170/196] eta: 0:00:17 time: 0.6884 data_time: 0.0015 memory: 4673 +2024/02/13 01:17:34 - mmengine - INFO - Epoch(val) [19][180/196] eta: 0:00:11 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 01:17:40 - mmengine - INFO - Epoch(val) [19][190/196] eta: 0:00:04 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 01:17:53 - mmengine - INFO - Epoch(val) [19][196/196] accuracy/top1: 74.7400 accuracy/top5: 91.5140 data_time: 0.0018 time: 0.6841 +2024/02/13 01:19:32 - mmengine - INFO - Epoch(train) [20][10/78] lr: 6.1972e+00 eta: 12:51:23 time: 9.8911 data_time: 1.2441 memory: 41551 loss: 1.1570 +2024/02/13 01:20:54 - mmengine - INFO - Epoch(train) [20][20/78] lr: 6.1915e+00 eta: 12:49:50 time: 8.1302 data_time: 0.0044 memory: 41551 loss: 1.1929 +2024/02/13 01:22:15 - mmengine - INFO - Epoch(train) [20][30/78] lr: 6.1857e+00 eta: 12:48:18 time: 8.1405 data_time: 0.0043 memory: 41551 loss: 1.1743 +2024/02/13 01:23:36 - mmengine - INFO - Epoch(train) [20][40/78] lr: 6.1799e+00 eta: 12:46:46 time: 8.1412 data_time: 0.0040 memory: 41551 loss: 1.2317 +2024/02/13 01:24:58 - mmengine - INFO - Epoch(train) [20][50/78] lr: 6.1740e+00 eta: 12:45:14 time: 8.1461 data_time: 0.0049 memory: 41551 loss: 1.1984 +2024/02/13 01:26:19 - mmengine - INFO - Epoch(train) [20][60/78] lr: 6.1680e+00 eta: 12:43:43 time: 8.1578 data_time: 0.0041 memory: 41551 loss: 1.1999 +2024/02/13 01:27:41 - mmengine - INFO - Epoch(train) [20][70/78] lr: 6.1619e+00 eta: 12:42:12 time: 8.1438 data_time: 0.0061 memory: 41551 loss: 1.1859 +2024/02/13 01:28:46 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 01:28:46 - mmengine - INFO - Saving checkpoint at 20 epochs +2024/02/13 01:29:15 - mmengine - INFO - Epoch(val) [20][ 10/196] eta: 0:02:12 time: 0.7120 data_time: 0.0219 memory: 41551 +2024/02/13 01:29:21 - mmengine - INFO - Epoch(val) [20][ 20/196] eta: 0:02:03 time: 0.6864 data_time: 0.0006 memory: 4673 +2024/02/13 01:29:28 - mmengine - INFO - Epoch(val) [20][ 30/196] eta: 0:01:55 time: 0.6877 data_time: 0.0020 memory: 4673 +2024/02/13 01:29:35 - mmengine - INFO - Epoch(val) [20][ 40/196] eta: 0:01:48 time: 0.6866 data_time: 0.0006 memory: 4673 +2024/02/13 01:29:42 - mmengine - INFO - Epoch(val) [20][ 50/196] eta: 0:01:41 time: 0.6870 data_time: 0.0007 memory: 4673 +2024/02/13 01:29:49 - mmengine - INFO - Epoch(val) [20][ 60/196] eta: 0:01:33 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 01:29:56 - mmengine - INFO - Epoch(val) [20][ 70/196] eta: 0:01:27 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 01:30:03 - mmengine - INFO - Epoch(val) [20][ 80/196] eta: 0:01:20 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 01:30:10 - mmengine - INFO - Epoch(val) [20][ 90/196] eta: 0:01:13 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 01:30:16 - mmengine - INFO - Epoch(val) [20][100/196] eta: 0:01:06 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/13 01:30:23 - mmengine - INFO - Epoch(val) [20][110/196] eta: 0:00:59 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 01:30:30 - mmengine - INFO - Epoch(val) [20][120/196] eta: 0:00:52 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/13 01:30:37 - mmengine - INFO - Epoch(val) [20][130/196] eta: 0:00:45 time: 0.6876 data_time: 0.0004 memory: 4673 +2024/02/13 01:30:44 - mmengine - INFO - Epoch(val) [20][140/196] eta: 0:00:38 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/13 01:30:51 - mmengine - INFO - Epoch(val) [20][150/196] eta: 0:00:31 time: 0.6875 data_time: 0.0004 memory: 4673 +2024/02/13 01:30:58 - mmengine - INFO - Epoch(val) [20][160/196] eta: 0:00:24 time: 0.6878 data_time: 0.0009 memory: 4673 +2024/02/13 01:31:05 - mmengine - INFO - Epoch(val) [20][170/196] eta: 0:00:17 time: 0.6872 data_time: 0.0004 memory: 4673 +2024/02/13 01:31:11 - mmengine - INFO - Epoch(val) [20][180/196] eta: 0:00:11 time: 0.6883 data_time: 0.0015 memory: 4673 +2024/02/13 01:31:18 - mmengine - INFO - Epoch(val) [20][190/196] eta: 0:00:04 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/13 01:31:31 - mmengine - INFO - Epoch(val) [20][196/196] accuracy/top1: 74.4820 accuracy/top5: 91.4040 data_time: 0.0018 time: 0.6841 +2024/02/13 01:33:05 - mmengine - INFO - Epoch(train) [21][10/78] lr: 6.1508e+00 eta: 12:40:11 time: 9.4135 data_time: 1.2907 memory: 41551 loss: 1.1631 +2024/02/13 01:34:27 - mmengine - INFO - Epoch(train) [21][20/78] lr: 6.1446e+00 eta: 12:38:40 time: 8.1367 data_time: 0.0047 memory: 41551 loss: 1.1912 +2024/02/13 01:35:48 - mmengine - INFO - Epoch(train) [21][30/78] lr: 6.1382e+00 eta: 12:37:09 time: 8.1520 data_time: 0.0045 memory: 41551 loss: 1.2071 +2024/02/13 01:37:10 - mmengine - INFO - Epoch(train) [21][40/78] lr: 6.1318e+00 eta: 12:35:37 time: 8.1343 data_time: 0.0042 memory: 41551 loss: 1.2035 +2024/02/13 01:38:31 - mmengine - INFO - Epoch(train) [21][50/78] lr: 6.1253e+00 eta: 12:34:06 time: 8.1274 data_time: 0.0048 memory: 41551 loss: 1.2182 +2024/02/13 01:39:52 - mmengine - INFO - Epoch(train) [21][60/78] lr: 6.1187e+00 eta: 12:32:35 time: 8.1438 data_time: 0.0048 memory: 41551 loss: 1.2514 +2024/02/13 01:41:14 - mmengine - INFO - Epoch(train) [21][70/78] lr: 6.1121e+00 eta: 12:31:03 time: 8.1318 data_time: 0.0042 memory: 41551 loss: 1.2133 +2024/02/13 01:42:19 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 01:42:19 - mmengine - INFO - Saving checkpoint at 21 epochs +2024/02/13 01:42:47 - mmengine - INFO - Epoch(val) [21][ 10/196] eta: 0:02:12 time: 0.7108 data_time: 0.0219 memory: 41551 +2024/02/13 01:42:54 - mmengine - INFO - Epoch(val) [21][ 20/196] eta: 0:02:03 time: 0.6870 data_time: 0.0006 memory: 4673 +2024/02/13 01:43:01 - mmengine - INFO - Epoch(val) [21][ 30/196] eta: 0:01:55 time: 0.6883 data_time: 0.0019 memory: 4673 +2024/02/13 01:43:07 - mmengine - INFO - Epoch(val) [21][ 40/196] eta: 0:01:48 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 01:43:14 - mmengine - INFO - Epoch(val) [21][ 50/196] eta: 0:01:41 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 01:43:21 - mmengine - INFO - Epoch(val) [21][ 60/196] eta: 0:01:34 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 01:43:28 - mmengine - INFO - Epoch(val) [21][ 70/196] eta: 0:01:27 time: 0.6888 data_time: 0.0016 memory: 4673 +2024/02/13 01:43:35 - mmengine - INFO - Epoch(val) [21][ 80/196] eta: 0:01:20 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 01:43:42 - mmengine - INFO - Epoch(val) [21][ 90/196] eta: 0:01:13 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 01:43:49 - mmengine - INFO - Epoch(val) [21][100/196] eta: 0:01:06 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 01:43:56 - mmengine - INFO - Epoch(val) [21][110/196] eta: 0:00:59 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 01:44:02 - mmengine - INFO - Epoch(val) [21][120/196] eta: 0:00:52 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 01:44:09 - mmengine - INFO - Epoch(val) [21][130/196] eta: 0:00:45 time: 0.6889 data_time: 0.0015 memory: 4673 +2024/02/13 01:44:16 - mmengine - INFO - Epoch(val) [21][140/196] eta: 0:00:38 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 01:44:23 - mmengine - INFO - Epoch(val) [21][150/196] eta: 0:00:31 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 01:44:30 - mmengine - INFO - Epoch(val) [21][160/196] eta: 0:00:24 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 01:44:37 - mmengine - INFO - Epoch(val) [21][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 01:44:44 - mmengine - INFO - Epoch(val) [21][180/196] eta: 0:00:11 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 01:44:51 - mmengine - INFO - Epoch(val) [21][190/196] eta: 0:00:04 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 01:45:04 - mmengine - INFO - Epoch(val) [21][196/196] accuracy/top1: 74.4820 accuracy/top5: 91.4860 data_time: 0.0019 time: 0.6843 +2024/02/13 01:46:38 - mmengine - INFO - Epoch(train) [22][10/78] lr: 6.1000e+00 eta: 12:29:02 time: 9.4406 data_time: 1.2321 memory: 41551 loss: 1.1811 +2024/02/13 01:47:59 - mmengine - INFO - Epoch(train) [22][20/78] lr: 6.0931e+00 eta: 12:27:31 time: 8.1392 data_time: 0.0043 memory: 41551 loss: 1.1789 +2024/02/13 01:49:21 - mmengine - INFO - Epoch(train) [22][30/78] lr: 6.0862e+00 eta: 12:26:00 time: 8.1444 data_time: 0.0042 memory: 41551 loss: 1.2174 +2024/02/13 01:50:42 - mmengine - INFO - Epoch(train) [22][40/78] lr: 6.0792e+00 eta: 12:24:30 time: 8.1423 data_time: 0.0044 memory: 41551 loss: 1.1985 +2024/02/13 01:52:04 - mmengine - INFO - Epoch(train) [22][50/78] lr: 6.0721e+00 eta: 12:22:59 time: 8.1415 data_time: 0.0050 memory: 41551 loss: 1.2215 +2024/02/13 01:53:25 - mmengine - INFO - Epoch(train) [22][60/78] lr: 6.0650e+00 eta: 12:21:29 time: 8.1395 data_time: 0.0048 memory: 41551 loss: 1.2190 +2024/02/13 01:54:47 - mmengine - INFO - Epoch(train) [22][70/78] lr: 6.0578e+00 eta: 12:19:58 time: 8.1487 data_time: 0.0052 memory: 41551 loss: 1.2061 +2024/02/13 01:55:52 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 01:55:52 - mmengine - INFO - Saving checkpoint at 22 epochs +2024/02/13 01:56:20 - mmengine - INFO - Epoch(val) [22][ 10/196] eta: 0:02:12 time: 0.7108 data_time: 0.0218 memory: 41551 +2024/02/13 01:56:27 - mmengine - INFO - Epoch(val) [22][ 20/196] eta: 0:02:03 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 01:56:34 - mmengine - INFO - Epoch(val) [22][ 30/196] eta: 0:01:55 time: 0.6883 data_time: 0.0011 memory: 4673 +2024/02/13 01:56:41 - mmengine - INFO - Epoch(val) [22][ 40/196] eta: 0:01:48 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 01:56:48 - mmengine - INFO - Epoch(val) [22][ 50/196] eta: 0:01:41 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 01:56:55 - mmengine - INFO - Epoch(val) [22][ 60/196] eta: 0:01:34 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 01:57:02 - mmengine - INFO - Epoch(val) [22][ 70/196] eta: 0:01:27 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/13 01:57:08 - mmengine - INFO - Epoch(val) [22][ 80/196] eta: 0:01:20 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 01:57:15 - mmengine - INFO - Epoch(val) [22][ 90/196] eta: 0:01:13 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 01:57:22 - mmengine - INFO - Epoch(val) [22][100/196] eta: 0:01:06 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 01:57:29 - mmengine - INFO - Epoch(val) [22][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 01:57:36 - mmengine - INFO - Epoch(val) [22][120/196] eta: 0:00:52 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 01:57:43 - mmengine - INFO - Epoch(val) [22][130/196] eta: 0:00:45 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 01:57:50 - mmengine - INFO - Epoch(val) [22][140/196] eta: 0:00:38 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 01:57:57 - mmengine - INFO - Epoch(val) [22][150/196] eta: 0:00:31 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 01:58:03 - mmengine - INFO - Epoch(val) [22][160/196] eta: 0:00:24 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 01:58:10 - mmengine - INFO - Epoch(val) [22][170/196] eta: 0:00:17 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 01:58:17 - mmengine - INFO - Epoch(val) [22][180/196] eta: 0:00:11 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 01:58:24 - mmengine - INFO - Epoch(val) [22][190/196] eta: 0:00:04 time: 0.6881 data_time: 0.0013 memory: 4673 +2024/02/13 01:58:37 - mmengine - INFO - Epoch(val) [22][196/196] accuracy/top1: 74.5000 accuracy/top5: 91.3280 data_time: 0.0018 time: 0.6843 +2024/02/13 02:00:11 - mmengine - INFO - Epoch(train) [23][10/78] lr: 6.0446e+00 eta: 12:17:55 time: 9.4063 data_time: 1.3113 memory: 41551 loss: 1.1603 +2024/02/13 02:01:32 - mmengine - INFO - Epoch(train) [23][20/78] lr: 6.0372e+00 eta: 12:16:24 time: 8.1242 data_time: 0.0047 memory: 41551 loss: 1.2061 +2024/02/13 02:02:54 - mmengine - INFO - Epoch(train) [23][30/78] lr: 6.0297e+00 eta: 12:14:53 time: 8.1280 data_time: 0.0043 memory: 41551 loss: 1.1930 +2024/02/13 02:04:15 - mmengine - INFO - Epoch(train) [23][40/78] lr: 6.0221e+00 eta: 12:13:22 time: 8.1204 data_time: 0.0044 memory: 41551 loss: 1.1964 +2024/02/13 02:05:36 - mmengine - INFO - Epoch(train) [23][50/78] lr: 6.0145e+00 eta: 12:11:52 time: 8.1405 data_time: 0.0052 memory: 41551 loss: 1.2208 +2024/02/13 02:06:58 - mmengine - INFO - Epoch(train) [23][60/78] lr: 6.0068e+00 eta: 12:10:22 time: 8.1344 data_time: 0.0048 memory: 41551 loss: 1.2153 +2024/02/13 02:08:19 - mmengine - INFO - Epoch(train) [23][70/78] lr: 5.9990e+00 eta: 12:08:52 time: 8.1418 data_time: 0.0041 memory: 41551 loss: 1.2166 +2024/02/13 02:09:24 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 02:09:24 - mmengine - INFO - Saving checkpoint at 23 epochs +2024/02/13 02:09:53 - mmengine - INFO - Epoch(val) [23][ 10/196] eta: 0:02:12 time: 0.7105 data_time: 0.0218 memory: 41551 +2024/02/13 02:10:00 - mmengine - INFO - Epoch(val) [23][ 20/196] eta: 0:02:02 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/13 02:10:07 - mmengine - INFO - Epoch(val) [23][ 30/196] eta: 0:01:55 time: 0.6868 data_time: 0.0006 memory: 4673 +2024/02/13 02:10:13 - mmengine - INFO - Epoch(val) [23][ 40/196] eta: 0:01:48 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 02:10:20 - mmengine - INFO - Epoch(val) [23][ 50/196] eta: 0:01:41 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 02:10:27 - mmengine - INFO - Epoch(val) [23][ 60/196] eta: 0:01:34 time: 0.6956 data_time: 0.0007 memory: 4673 +2024/02/13 02:10:34 - mmengine - INFO - Epoch(val) [23][ 70/196] eta: 0:01:27 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 02:10:41 - mmengine - INFO - Epoch(val) [23][ 80/196] eta: 0:01:20 time: 0.6878 data_time: 0.0008 memory: 4673 +2024/02/13 02:10:48 - mmengine - INFO - Epoch(val) [23][ 90/196] eta: 0:01:13 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 02:10:55 - mmengine - INFO - Epoch(val) [23][100/196] eta: 0:01:06 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 02:11:02 - mmengine - INFO - Epoch(val) [23][110/196] eta: 0:00:59 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 02:11:09 - mmengine - INFO - Epoch(val) [23][120/196] eta: 0:00:52 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 02:11:15 - mmengine - INFO - Epoch(val) [23][130/196] eta: 0:00:45 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 02:11:22 - mmengine - INFO - Epoch(val) [23][140/196] eta: 0:00:38 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 02:11:29 - mmengine - INFO - Epoch(val) [23][150/196] eta: 0:00:31 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 02:11:36 - mmengine - INFO - Epoch(val) [23][160/196] eta: 0:00:24 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 02:11:43 - mmengine - INFO - Epoch(val) [23][170/196] eta: 0:00:17 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 02:11:50 - mmengine - INFO - Epoch(val) [23][180/196] eta: 0:00:11 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 02:11:57 - mmengine - INFO - Epoch(val) [23][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 02:12:10 - mmengine - INFO - Epoch(val) [23][196/196] accuracy/top1: 74.5640 accuracy/top5: 91.4020 data_time: 0.0017 time: 0.6845 +2024/02/13 02:13:50 - mmengine - INFO - Epoch(train) [24][10/78] lr: 5.9849e+00 eta: 12:07:05 time: 10.0264 data_time: 1.3377 memory: 41551 loss: 1.1544 +2024/02/13 02:15:11 - mmengine - INFO - Epoch(train) [24][20/78] lr: 5.9769e+00 eta: 12:05:34 time: 8.1343 data_time: 0.0046 memory: 41551 loss: 1.1866 +2024/02/13 02:16:33 - mmengine - INFO - Epoch(train) [24][30/78] lr: 5.9689e+00 eta: 12:04:04 time: 8.1339 data_time: 0.0043 memory: 41551 loss: 1.2275 +2024/02/13 02:17:54 - mmengine - INFO - Epoch(train) [24][40/78] lr: 5.9608e+00 eta: 12:02:34 time: 8.1263 data_time: 0.0053 memory: 41551 loss: 1.1750 +2024/02/13 02:19:15 - mmengine - INFO - Epoch(train) [24][50/78] lr: 5.9526e+00 eta: 12:01:04 time: 8.1239 data_time: 0.0049 memory: 41551 loss: 1.2511 +2024/02/13 02:20:36 - mmengine - INFO - Epoch(train) [24][60/78] lr: 5.9443e+00 eta: 11:59:34 time: 8.1175 data_time: 0.0042 memory: 41551 loss: 1.2294 +2024/02/13 02:21:58 - mmengine - INFO - Epoch(train) [24][70/78] lr: 5.9360e+00 eta: 11:58:04 time: 8.1361 data_time: 0.0045 memory: 41551 loss: 1.2342 +2024/02/13 02:23:02 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 02:23:02 - mmengine - INFO - Saving checkpoint at 24 epochs +2024/02/13 02:23:31 - mmengine - INFO - Epoch(val) [24][ 10/196] eta: 0:02:12 time: 0.7119 data_time: 0.0219 memory: 41551 +2024/02/13 02:23:38 - mmengine - INFO - Epoch(val) [24][ 20/196] eta: 0:02:03 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 02:23:45 - mmengine - INFO - Epoch(val) [24][ 30/196] eta: 0:01:55 time: 0.6880 data_time: 0.0013 memory: 4673 +2024/02/13 02:23:52 - mmengine - INFO - Epoch(val) [24][ 40/196] eta: 0:01:48 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 02:23:59 - mmengine - INFO - Epoch(val) [24][ 50/196] eta: 0:01:41 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 02:24:06 - mmengine - INFO - Epoch(val) [24][ 60/196] eta: 0:01:34 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 02:24:13 - mmengine - INFO - Epoch(val) [24][ 70/196] eta: 0:01:27 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 02:24:19 - mmengine - INFO - Epoch(val) [24][ 80/196] eta: 0:01:20 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 02:24:26 - mmengine - INFO - Epoch(val) [24][ 90/196] eta: 0:01:13 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 02:24:33 - mmengine - INFO - Epoch(val) [24][100/196] eta: 0:01:06 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 02:24:40 - mmengine - INFO - Epoch(val) [24][110/196] eta: 0:00:59 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 02:24:47 - mmengine - INFO - Epoch(val) [24][120/196] eta: 0:00:52 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 02:24:54 - mmengine - INFO - Epoch(val) [24][130/196] eta: 0:00:45 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 02:25:01 - mmengine - INFO - Epoch(val) [24][140/196] eta: 0:00:38 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 02:25:08 - mmengine - INFO - Epoch(val) [24][150/196] eta: 0:00:31 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 02:25:14 - mmengine - INFO - Epoch(val) [24][160/196] eta: 0:00:24 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 02:25:21 - mmengine - INFO - Epoch(val) [24][170/196] eta: 0:00:17 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 02:25:28 - mmengine - INFO - Epoch(val) [24][180/196] eta: 0:00:11 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 02:25:35 - mmengine - INFO - Epoch(val) [24][190/196] eta: 0:00:04 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 02:25:48 - mmengine - INFO - Epoch(val) [24][196/196] accuracy/top1: 74.3560 accuracy/top5: 91.3400 data_time: 0.0018 time: 0.6843 +2024/02/13 02:27:24 - mmengine - INFO - Epoch(train) [25][10/78] lr: 5.9208e+00 eta: 11:56:02 time: 9.5924 data_time: 1.1837 memory: 41551 loss: 1.1615 +2024/02/13 02:28:45 - mmengine - INFO - Epoch(train) [25][20/78] lr: 5.9123e+00 eta: 11:54:31 time: 8.1171 data_time: 0.0045 memory: 41551 loss: 1.1937 +2024/02/13 02:30:06 - mmengine - INFO - Epoch(train) [25][30/78] lr: 5.9037e+00 eta: 11:53:01 time: 8.1146 data_time: 0.0042 memory: 41551 loss: 1.2042 +2024/02/13 02:31:28 - mmengine - INFO - Epoch(train) [25][40/78] lr: 5.8951e+00 eta: 11:51:31 time: 8.1209 data_time: 0.0041 memory: 41551 loss: 1.2449 +2024/02/13 02:32:49 - mmengine - INFO - Epoch(train) [25][50/78] lr: 5.8864e+00 eta: 11:50:02 time: 8.1294 data_time: 0.0043 memory: 41551 loss: 1.2125 +2024/02/13 02:34:10 - mmengine - INFO - Epoch(train) [25][60/78] lr: 5.8776e+00 eta: 11:48:32 time: 8.1248 data_time: 0.0041 memory: 41551 loss: 1.2300 +2024/02/13 02:35:31 - mmengine - INFO - Epoch(train) [25][70/78] lr: 5.8687e+00 eta: 11:47:02 time: 8.1222 data_time: 0.0053 memory: 41551 loss: 1.2303 +2024/02/13 02:36:36 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 02:36:36 - mmengine - INFO - Saving checkpoint at 25 epochs +2024/02/13 02:37:05 - mmengine - INFO - Epoch(val) [25][ 10/196] eta: 0:02:12 time: 0.7130 data_time: 0.0238 memory: 41551 +2024/02/13 02:37:12 - mmengine - INFO - Epoch(val) [25][ 20/196] eta: 0:02:03 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/13 02:37:19 - mmengine - INFO - Epoch(val) [25][ 30/196] eta: 0:01:55 time: 0.6873 data_time: 0.0008 memory: 4673 +2024/02/13 02:37:26 - mmengine - INFO - Epoch(val) [25][ 40/196] eta: 0:01:48 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 02:37:33 - mmengine - INFO - Epoch(val) [25][ 50/196] eta: 0:01:41 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 02:37:40 - mmengine - INFO - Epoch(val) [25][ 60/196] eta: 0:01:34 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 02:37:46 - mmengine - INFO - Epoch(val) [25][ 70/196] eta: 0:01:27 time: 0.6880 data_time: 0.0009 memory: 4673 +2024/02/13 02:37:53 - mmengine - INFO - Epoch(val) [25][ 80/196] eta: 0:01:20 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 02:38:00 - mmengine - INFO - Epoch(val) [25][ 90/196] eta: 0:01:13 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/13 02:38:07 - mmengine - INFO - Epoch(val) [25][100/196] eta: 0:01:06 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 02:38:14 - mmengine - INFO - Epoch(val) [25][110/196] eta: 0:00:59 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 02:38:21 - mmengine - INFO - Epoch(val) [25][120/196] eta: 0:00:52 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 02:38:28 - mmengine - INFO - Epoch(val) [25][130/196] eta: 0:00:45 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 02:38:35 - mmengine - INFO - Epoch(val) [25][140/196] eta: 0:00:38 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 02:38:41 - mmengine - INFO - Epoch(val) [25][150/196] eta: 0:00:31 time: 0.6877 data_time: 0.0008 memory: 4673 +2024/02/13 02:38:48 - mmengine - INFO - Epoch(val) [25][160/196] eta: 0:00:24 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 02:38:55 - mmengine - INFO - Epoch(val) [25][170/196] eta: 0:00:17 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 02:39:02 - mmengine - INFO - Epoch(val) [25][180/196] eta: 0:00:11 time: 0.6876 data_time: 0.0009 memory: 4673 +2024/02/13 02:39:09 - mmengine - INFO - Epoch(val) [25][190/196] eta: 0:00:04 time: 0.6871 data_time: 0.0005 memory: 4673 +2024/02/13 02:39:22 - mmengine - INFO - Epoch(val) [25][196/196] accuracy/top1: 74.6260 accuracy/top5: 91.3060 data_time: 0.0018 time: 0.6842 +2024/02/13 02:40:56 - mmengine - INFO - Epoch(train) [26][10/78] lr: 5.8526e+00 eta: 11:44:55 time: 9.4337 data_time: 1.2069 memory: 41551 loss: 1.1646 +2024/02/13 02:42:17 - mmengine - INFO - Epoch(train) [26][20/78] lr: 5.8436e+00 eta: 11:43:25 time: 8.1147 data_time: 0.0048 memory: 41551 loss: 1.1848 +2024/02/13 02:43:39 - mmengine - INFO - Epoch(train) [26][30/78] lr: 5.8345e+00 eta: 11:41:56 time: 8.1339 data_time: 0.0042 memory: 41551 loss: 1.2072 +2024/02/13 02:45:00 - mmengine - INFO - Epoch(train) [26][40/78] lr: 5.8253e+00 eta: 11:40:27 time: 8.1282 data_time: 0.0048 memory: 41551 loss: 1.2121 +2024/02/13 02:46:21 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 02:46:21 - mmengine - INFO - Epoch(train) [26][50/78] lr: 5.8160e+00 eta: 11:38:57 time: 8.1152 data_time: 0.0046 memory: 41551 loss: 1.1825 +2024/02/13 02:47:43 - mmengine - INFO - Epoch(train) [26][60/78] lr: 5.8067e+00 eta: 11:37:28 time: 8.1311 data_time: 0.0043 memory: 41551 loss: 1.2005 +2024/02/13 02:49:04 - mmengine - INFO - Epoch(train) [26][70/78] lr: 5.7974e+00 eta: 11:35:59 time: 8.1272 data_time: 0.0043 memory: 41551 loss: 1.2294 +2024/02/13 02:50:09 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 02:50:09 - mmengine - INFO - Saving checkpoint at 26 epochs +2024/02/13 02:50:38 - mmengine - INFO - Epoch(val) [26][ 10/196] eta: 0:02:12 time: 0.7111 data_time: 0.0218 memory: 41551 +2024/02/13 02:50:45 - mmengine - INFO - Epoch(val) [26][ 20/196] eta: 0:02:03 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 02:50:52 - mmengine - INFO - Epoch(val) [26][ 30/196] eta: 0:01:55 time: 0.6873 data_time: 0.0008 memory: 4673 +2024/02/13 02:50:58 - mmengine - INFO - Epoch(val) [26][ 40/196] eta: 0:01:48 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 02:51:05 - mmengine - INFO - Epoch(val) [26][ 50/196] eta: 0:01:41 time: 0.6886 data_time: 0.0014 memory: 4673 +2024/02/13 02:51:12 - mmengine - INFO - Epoch(val) [26][ 60/196] eta: 0:01:34 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 02:51:19 - mmengine - INFO - Epoch(val) [26][ 70/196] eta: 0:01:27 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 02:51:26 - mmengine - INFO - Epoch(val) [26][ 80/196] eta: 0:01:20 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 02:51:33 - mmengine - INFO - Epoch(val) [26][ 90/196] eta: 0:01:13 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 02:51:40 - mmengine - INFO - Epoch(val) [26][100/196] eta: 0:01:06 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/13 02:51:47 - mmengine - INFO - Epoch(val) [26][110/196] eta: 0:00:59 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 02:51:53 - mmengine - INFO - Epoch(val) [26][120/196] eta: 0:00:52 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 02:52:00 - mmengine - INFO - Epoch(val) [26][130/196] eta: 0:00:45 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 02:52:07 - mmengine - INFO - Epoch(val) [26][140/196] eta: 0:00:38 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 02:52:14 - mmengine - INFO - Epoch(val) [26][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 02:52:21 - mmengine - INFO - Epoch(val) [26][160/196] eta: 0:00:24 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 02:52:28 - mmengine - INFO - Epoch(val) [26][170/196] eta: 0:00:17 time: 0.6883 data_time: 0.0014 memory: 4673 +2024/02/13 02:52:35 - mmengine - INFO - Epoch(val) [26][180/196] eta: 0:00:11 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 02:52:42 - mmengine - INFO - Epoch(val) [26][190/196] eta: 0:00:04 time: 0.6871 data_time: 0.0005 memory: 4673 +2024/02/13 02:52:55 - mmengine - INFO - Epoch(val) [26][196/196] accuracy/top1: 74.3140 accuracy/top5: 91.2860 data_time: 0.0018 time: 0.6843 +2024/02/13 02:54:35 - mmengine - INFO - Epoch(train) [27][10/78] lr: 5.7803e+00 eta: 11:34:05 time: 10.0077 data_time: 1.2715 memory: 41551 loss: 1.1732 +2024/02/13 02:55:56 - mmengine - INFO - Epoch(train) [27][20/78] lr: 5.7707e+00 eta: 11:32:36 time: 8.1203 data_time: 0.0038 memory: 41551 loss: 1.1901 +2024/02/13 02:57:17 - mmengine - INFO - Epoch(train) [27][30/78] lr: 5.7611e+00 eta: 11:31:07 time: 8.1365 data_time: 0.0049 memory: 41551 loss: 1.2299 +2024/02/13 02:58:39 - mmengine - INFO - Epoch(train) [27][40/78] lr: 5.7514e+00 eta: 11:29:38 time: 8.1342 data_time: 0.0053 memory: 41551 loss: 1.1939 +2024/02/13 03:00:00 - mmengine - INFO - Epoch(train) [27][50/78] lr: 5.7417e+00 eta: 11:28:09 time: 8.1369 data_time: 0.0042 memory: 41551 loss: 1.2083 +2024/02/13 03:01:21 - mmengine - INFO - Epoch(train) [27][60/78] lr: 5.7318e+00 eta: 11:26:40 time: 8.1374 data_time: 0.0041 memory: 41551 loss: 1.2172 +2024/02/13 03:02:43 - mmengine - INFO - Epoch(train) [27][70/78] lr: 5.7220e+00 eta: 11:25:12 time: 8.1319 data_time: 0.0053 memory: 41551 loss: 1.2230 +2024/02/13 03:03:48 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 03:03:48 - mmengine - INFO - Saving checkpoint at 27 epochs +2024/02/13 03:04:17 - mmengine - INFO - Epoch(val) [27][ 10/196] eta: 0:02:12 time: 0.7128 data_time: 0.0218 memory: 41551 +2024/02/13 03:04:23 - mmengine - INFO - Epoch(val) [27][ 20/196] eta: 0:02:03 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/13 03:04:30 - mmengine - INFO - Epoch(val) [27][ 30/196] eta: 0:01:55 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 03:04:37 - mmengine - INFO - Epoch(val) [27][ 40/196] eta: 0:01:48 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 03:04:44 - mmengine - INFO - Epoch(val) [27][ 50/196] eta: 0:01:41 time: 0.6891 data_time: 0.0019 memory: 4673 +2024/02/13 03:04:51 - mmengine - INFO - Epoch(val) [27][ 60/196] eta: 0:01:34 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 03:04:58 - mmengine - INFO - Epoch(val) [27][ 70/196] eta: 0:01:27 time: 0.6888 data_time: 0.0015 memory: 4673 +2024/02/13 03:05:05 - mmengine - INFO - Epoch(val) [27][ 80/196] eta: 0:01:20 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 03:05:12 - mmengine - INFO - Epoch(val) [27][ 90/196] eta: 0:01:13 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 03:05:19 - mmengine - INFO - Epoch(val) [27][100/196] eta: 0:01:06 time: 0.6882 data_time: 0.0008 memory: 4673 +2024/02/13 03:05:25 - mmengine - INFO - Epoch(val) [27][110/196] eta: 0:00:59 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 03:05:32 - mmengine - INFO - Epoch(val) [27][120/196] eta: 0:00:52 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 03:05:39 - mmengine - INFO - Epoch(val) [27][130/196] eta: 0:00:45 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 03:05:46 - mmengine - INFO - Epoch(val) [27][140/196] eta: 0:00:38 time: 0.6883 data_time: 0.0007 memory: 4673 +2024/02/13 03:05:53 - mmengine - INFO - Epoch(val) [27][150/196] eta: 0:00:31 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 03:06:00 - mmengine - INFO - Epoch(val) [27][160/196] eta: 0:00:24 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 03:06:07 - mmengine - INFO - Epoch(val) [27][170/196] eta: 0:00:17 time: 0.6886 data_time: 0.0015 memory: 4673 +2024/02/13 03:06:14 - mmengine - INFO - Epoch(val) [27][180/196] eta: 0:00:11 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 03:06:20 - mmengine - INFO - Epoch(val) [27][190/196] eta: 0:00:04 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 03:06:33 - mmengine - INFO - Epoch(val) [27][196/196] accuracy/top1: 74.2820 accuracy/top5: 91.3940 data_time: 0.0019 time: 0.6845 +2024/02/13 03:08:13 - mmengine - INFO - Epoch(train) [28][10/78] lr: 5.7040e+00 eta: 11:23:13 time: 9.9178 data_time: 1.3385 memory: 41551 loss: 1.1461 +2024/02/13 03:09:34 - mmengine - INFO - Epoch(train) [28][20/78] lr: 5.6939e+00 eta: 11:21:44 time: 8.1216 data_time: 0.0054 memory: 41551 loss: 1.1873 +2024/02/13 03:10:55 - mmengine - INFO - Epoch(train) [28][30/78] lr: 5.6838e+00 eta: 11:20:16 time: 8.1392 data_time: 0.0049 memory: 41551 loss: 1.2171 +2024/02/13 03:12:17 - mmengine - INFO - Epoch(train) [28][40/78] lr: 5.6736e+00 eta: 11:18:47 time: 8.1429 data_time: 0.0050 memory: 41551 loss: 1.2084 +2024/02/13 03:13:38 - mmengine - INFO - Epoch(train) [28][50/78] lr: 5.6634e+00 eta: 11:17:19 time: 8.1467 data_time: 0.0038 memory: 41551 loss: 1.2382 +2024/02/13 03:15:00 - mmengine - INFO - Epoch(train) [28][60/78] lr: 5.6531e+00 eta: 11:15:51 time: 8.1466 data_time: 0.0040 memory: 41551 loss: 1.2129 +2024/02/13 03:16:21 - mmengine - INFO - Epoch(train) [28][70/78] lr: 5.6427e+00 eta: 11:14:23 time: 8.1514 data_time: 0.0048 memory: 41551 loss: 1.2429 +2024/02/13 03:17:26 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 03:17:26 - mmengine - INFO - Saving checkpoint at 28 epochs +2024/02/13 03:17:55 - mmengine - INFO - Epoch(val) [28][ 10/196] eta: 0:02:12 time: 0.7114 data_time: 0.0218 memory: 41551 +2024/02/13 03:18:02 - mmengine - INFO - Epoch(val) [28][ 20/196] eta: 0:02:03 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 03:18:09 - mmengine - INFO - Epoch(val) [28][ 30/196] eta: 0:01:55 time: 0.6885 data_time: 0.0007 memory: 4673 +2024/02/13 03:18:16 - mmengine - INFO - Epoch(val) [28][ 40/196] eta: 0:01:48 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 03:18:23 - mmengine - INFO - Epoch(val) [28][ 50/196] eta: 0:01:41 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 03:18:30 - mmengine - INFO - Epoch(val) [28][ 60/196] eta: 0:01:34 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 03:18:37 - mmengine - INFO - Epoch(val) [28][ 70/196] eta: 0:01:27 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 03:18:43 - mmengine - INFO - Epoch(val) [28][ 80/196] eta: 0:01:20 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 03:18:50 - mmengine - INFO - Epoch(val) [28][ 90/196] eta: 0:01:13 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 03:18:57 - mmengine - INFO - Epoch(val) [28][100/196] eta: 0:01:06 time: 0.6871 data_time: 0.0005 memory: 4673 +2024/02/13 03:19:04 - mmengine - INFO - Epoch(val) [28][110/196] eta: 0:00:59 time: 0.6868 data_time: 0.0005 memory: 4673 +2024/02/13 03:19:11 - mmengine - INFO - Epoch(val) [28][120/196] eta: 0:00:52 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 03:19:18 - mmengine - INFO - Epoch(val) [28][130/196] eta: 0:00:45 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 03:19:25 - mmengine - INFO - Epoch(val) [28][140/196] eta: 0:00:38 time: 0.6868 data_time: 0.0005 memory: 4673 +2024/02/13 03:19:32 - mmengine - INFO - Epoch(val) [28][150/196] eta: 0:00:31 time: 0.6880 data_time: 0.0014 memory: 4673 +2024/02/13 03:19:38 - mmengine - INFO - Epoch(val) [28][160/196] eta: 0:00:24 time: 0.6871 data_time: 0.0005 memory: 4673 +2024/02/13 03:19:45 - mmengine - INFO - Epoch(val) [28][170/196] eta: 0:00:17 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 03:19:52 - mmengine - INFO - Epoch(val) [28][180/196] eta: 0:00:11 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 03:19:59 - mmengine - INFO - Epoch(val) [28][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 03:20:12 - mmengine - INFO - Epoch(val) [28][196/196] accuracy/top1: 74.5020 accuracy/top5: 91.3500 data_time: 0.0017 time: 0.6841 +2024/02/13 03:21:46 - mmengine - INFO - Epoch(train) [29][10/78] lr: 5.6239e+00 eta: 11:12:11 time: 9.3986 data_time: 1.2921 memory: 41551 loss: 1.1407 +2024/02/13 03:23:07 - mmengine - INFO - Epoch(train) [29][20/78] lr: 5.6133e+00 eta: 11:10:43 time: 8.1184 data_time: 0.0044 memory: 41551 loss: 1.1659 +2024/02/13 03:24:28 - mmengine - INFO - Epoch(train) [29][30/78] lr: 5.6027e+00 eta: 11:09:14 time: 8.1340 data_time: 0.0041 memory: 41551 loss: 1.2371 +2024/02/13 03:25:50 - mmengine - INFO - Epoch(train) [29][40/78] lr: 5.5920e+00 eta: 11:07:46 time: 8.1214 data_time: 0.0044 memory: 41551 loss: 1.2120 +2024/02/13 03:27:11 - mmengine - INFO - Epoch(train) [29][50/78] lr: 5.5813e+00 eta: 11:06:17 time: 8.1225 data_time: 0.0043 memory: 41551 loss: 1.2155 +2024/02/13 03:28:32 - mmengine - INFO - Epoch(train) [29][60/78] lr: 5.5705e+00 eta: 11:04:49 time: 8.1291 data_time: 0.0044 memory: 41551 loss: 1.2166 +2024/02/13 03:29:53 - mmengine - INFO - Epoch(train) [29][70/78] lr: 5.5597e+00 eta: 11:03:21 time: 8.1254 data_time: 0.0044 memory: 41551 loss: 1.2167 +2024/02/13 03:30:58 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 03:30:58 - mmengine - INFO - Saving checkpoint at 29 epochs +2024/02/13 03:31:28 - mmengine - INFO - Epoch(val) [29][ 10/196] eta: 0:02:12 time: 0.7127 data_time: 0.0217 memory: 41551 +2024/02/13 03:31:35 - mmengine - INFO - Epoch(val) [29][ 20/196] eta: 0:02:03 time: 0.6884 data_time: 0.0017 memory: 4673 +2024/02/13 03:31:42 - mmengine - INFO - Epoch(val) [29][ 30/196] eta: 0:01:55 time: 0.6870 data_time: 0.0004 memory: 4673 +2024/02/13 03:31:48 - mmengine - INFO - Epoch(val) [29][ 40/196] eta: 0:01:48 time: 0.6883 data_time: 0.0016 memory: 4673 +2024/02/13 03:31:55 - mmengine - INFO - Epoch(val) [29][ 50/196] eta: 0:01:41 time: 0.6876 data_time: 0.0004 memory: 4673 +2024/02/13 03:32:02 - mmengine - INFO - Epoch(val) [29][ 60/196] eta: 0:01:34 time: 0.6889 data_time: 0.0015 memory: 4673 +2024/02/13 03:32:09 - mmengine - INFO - Epoch(val) [29][ 70/196] eta: 0:01:27 time: 0.6878 data_time: 0.0004 memory: 4673 +2024/02/13 03:32:16 - mmengine - INFO - Epoch(val) [29][ 80/196] eta: 0:01:20 time: 0.6887 data_time: 0.0016 memory: 4673 +2024/02/13 03:32:23 - mmengine - INFO - Epoch(val) [29][ 90/196] eta: 0:01:13 time: 0.6875 data_time: 0.0004 memory: 4673 +2024/02/13 03:32:30 - mmengine - INFO - Epoch(val) [29][100/196] eta: 0:01:06 time: 0.6887 data_time: 0.0016 memory: 4673 +2024/02/13 03:32:37 - mmengine - INFO - Epoch(val) [29][110/196] eta: 0:00:59 time: 0.6877 data_time: 0.0004 memory: 4673 +2024/02/13 03:32:44 - mmengine - INFO - Epoch(val) [29][120/196] eta: 0:00:52 time: 0.6879 data_time: 0.0009 memory: 4673 +2024/02/13 03:32:50 - mmengine - INFO - Epoch(val) [29][130/196] eta: 0:00:45 time: 0.6875 data_time: 0.0004 memory: 4673 +2024/02/13 03:32:57 - mmengine - INFO - Epoch(val) [29][140/196] eta: 0:00:38 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 03:33:04 - mmengine - INFO - Epoch(val) [29][150/196] eta: 0:00:31 time: 0.6873 data_time: 0.0004 memory: 4673 +2024/02/13 03:33:11 - mmengine - INFO - Epoch(val) [29][160/196] eta: 0:00:24 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/13 03:33:18 - mmengine - INFO - Epoch(val) [29][170/196] eta: 0:00:17 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 03:33:25 - mmengine - INFO - Epoch(val) [29][180/196] eta: 0:00:11 time: 0.6881 data_time: 0.0014 memory: 4673 +2024/02/13 03:33:32 - mmengine - INFO - Epoch(val) [29][190/196] eta: 0:00:04 time: 0.6871 data_time: 0.0005 memory: 4673 +2024/02/13 03:33:45 - mmengine - INFO - Epoch(val) [29][196/196] accuracy/top1: 74.4220 accuracy/top5: 91.3000 data_time: 0.0019 time: 0.6845 +2024/02/13 03:35:25 - mmengine - INFO - Epoch(train) [30][10/78] lr: 5.5400e+00 eta: 11:01:22 time: 10.0569 data_time: 1.8381 memory: 41551 loss: 1.1764 +2024/02/13 03:36:46 - mmengine - INFO - Epoch(train) [30][20/78] lr: 5.5289e+00 eta: 10:59:54 time: 8.1322 data_time: 0.0068 memory: 41551 loss: 1.1909 +2024/02/13 03:38:08 - mmengine - INFO - Epoch(train) [30][30/78] lr: 5.5179e+00 eta: 10:58:26 time: 8.1400 data_time: 0.0061 memory: 41551 loss: 1.2033 +2024/02/13 03:39:29 - mmengine - INFO - Epoch(train) [30][40/78] lr: 5.5067e+00 eta: 10:56:58 time: 8.1360 data_time: 0.0073 memory: 41551 loss: 1.2125 +2024/02/13 03:40:51 - mmengine - INFO - Epoch(train) [30][50/78] lr: 5.4955e+00 eta: 10:55:30 time: 8.1379 data_time: 0.0055 memory: 41551 loss: 1.2276 +2024/02/13 03:42:12 - mmengine - INFO - Epoch(train) [30][60/78] lr: 5.4843e+00 eta: 10:54:02 time: 8.1369 data_time: 0.0056 memory: 41551 loss: 1.2190 +2024/02/13 03:43:33 - mmengine - INFO - Epoch(train) [30][70/78] lr: 5.4730e+00 eta: 10:52:34 time: 8.1398 data_time: 0.0063 memory: 41551 loss: 1.2308 +2024/02/13 03:44:38 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 03:44:38 - mmengine - INFO - Saving checkpoint at 30 epochs +2024/02/13 03:45:14 - mmengine - INFO - Epoch(val) [30][ 10/196] eta: 0:02:12 time: 0.7145 data_time: 0.0224 memory: 41551 +2024/02/13 03:45:20 - mmengine - INFO - Epoch(val) [30][ 20/196] eta: 0:02:03 time: 0.6878 data_time: 0.0009 memory: 4673 +2024/02/13 03:45:27 - mmengine - INFO - Epoch(val) [30][ 30/196] eta: 0:01:55 time: 0.6874 data_time: 0.0004 memory: 4673 +2024/02/13 03:45:34 - mmengine - INFO - Epoch(val) [30][ 40/196] eta: 0:01:48 time: 0.6888 data_time: 0.0009 memory: 4673 +2024/02/13 03:45:41 - mmengine - INFO - Epoch(val) [30][ 50/196] eta: 0:01:41 time: 0.6883 data_time: 0.0005 memory: 4673 +2024/02/13 03:45:48 - mmengine - INFO - Epoch(val) [30][ 60/196] eta: 0:01:34 time: 0.6887 data_time: 0.0009 memory: 4673 +2024/02/13 03:45:55 - mmengine - INFO - Epoch(val) [30][ 70/196] eta: 0:01:27 time: 0.6878 data_time: 0.0004 memory: 4673 +2024/02/13 03:46:02 - mmengine - INFO - Epoch(val) [30][ 80/196] eta: 0:01:20 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/13 03:46:09 - mmengine - INFO - Epoch(val) [30][ 90/196] eta: 0:01:13 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/13 03:46:15 - mmengine - INFO - Epoch(val) [30][100/196] eta: 0:01:06 time: 0.6882 data_time: 0.0008 memory: 4673 +2024/02/13 03:46:22 - mmengine - INFO - Epoch(val) [30][110/196] eta: 0:00:59 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 03:46:29 - mmengine - INFO - Epoch(val) [30][120/196] eta: 0:00:52 time: 0.6893 data_time: 0.0019 memory: 4673 +2024/02/13 03:46:36 - mmengine - INFO - Epoch(val) [30][130/196] eta: 0:00:45 time: 0.6882 data_time: 0.0005 memory: 4673 +2024/02/13 03:46:43 - mmengine - INFO - Epoch(val) [30][140/196] eta: 0:00:38 time: 0.6885 data_time: 0.0010 memory: 4673 +2024/02/13 03:46:50 - mmengine - INFO - Epoch(val) [30][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0004 memory: 4673 +2024/02/13 03:46:57 - mmengine - INFO - Epoch(val) [30][160/196] eta: 0:00:24 time: 0.6883 data_time: 0.0008 memory: 4673 +2024/02/13 03:47:04 - mmengine - INFO - Epoch(val) [30][170/196] eta: 0:00:17 time: 0.6879 data_time: 0.0004 memory: 4673 +2024/02/13 03:47:11 - mmengine - INFO - Epoch(val) [30][180/196] eta: 0:00:11 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 03:47:17 - mmengine - INFO - Epoch(val) [30][190/196] eta: 0:00:04 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 03:47:32 - mmengine - INFO - Epoch(val) [30][196/196] accuracy/top1: 74.6660 accuracy/top5: 91.4800 data_time: 0.0018 time: 0.6848 +2024/02/13 03:49:12 - mmengine - INFO - Epoch(train) [31][10/78] lr: 5.4525e+00 eta: 10:50:32 time: 9.9762 data_time: 1.8916 memory: 41551 loss: 1.1945 +2024/02/13 03:50:33 - mmengine - INFO - Epoch(train) [31][20/78] lr: 5.4410e+00 eta: 10:49:04 time: 8.1418 data_time: 0.0057 memory: 41551 loss: 1.1550 +2024/02/13 03:51:55 - mmengine - INFO - Epoch(train) [31][30/78] lr: 5.4295e+00 eta: 10:47:36 time: 8.1264 data_time: 0.0069 memory: 41551 loss: 1.1990 +2024/02/13 03:53:16 - mmengine - INFO - Epoch(train) [31][40/78] lr: 5.4179e+00 eta: 10:46:08 time: 8.1219 data_time: 0.0053 memory: 41551 loss: 1.2015 +2024/02/13 03:54:37 - mmengine - INFO - Epoch(train) [31][50/78] lr: 5.4062e+00 eta: 10:44:40 time: 8.1211 data_time: 0.0071 memory: 41551 loss: 1.2283 +2024/02/13 03:55:58 - mmengine - INFO - Epoch(train) [31][60/78] lr: 5.3945e+00 eta: 10:43:12 time: 8.1345 data_time: 0.0061 memory: 41551 loss: 1.2292 +2024/02/13 03:57:20 - mmengine - INFO - Epoch(train) [31][70/78] lr: 5.3828e+00 eta: 10:41:44 time: 8.1357 data_time: 0.0085 memory: 41551 loss: 1.2277 +2024/02/13 03:58:25 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 03:58:25 - mmengine - INFO - Saving checkpoint at 31 epochs +2024/02/13 03:59:00 - mmengine - INFO - Epoch(val) [31][ 10/196] eta: 0:02:12 time: 0.7138 data_time: 0.0233 memory: 41551 +2024/02/13 03:59:07 - mmengine - INFO - Epoch(val) [31][ 20/196] eta: 0:02:03 time: 0.6875 data_time: 0.0008 memory: 4673 +2024/02/13 03:59:14 - mmengine - INFO - Epoch(val) [31][ 30/196] eta: 0:01:55 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/13 03:59:21 - mmengine - INFO - Epoch(val) [31][ 40/196] eta: 0:01:48 time: 0.6879 data_time: 0.0009 memory: 4673 +2024/02/13 03:59:28 - mmengine - INFO - Epoch(val) [31][ 50/196] eta: 0:01:41 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 03:59:35 - mmengine - INFO - Epoch(val) [31][ 60/196] eta: 0:01:34 time: 0.6882 data_time: 0.0008 memory: 4673 +2024/02/13 03:59:41 - mmengine - INFO - Epoch(val) [31][ 70/196] eta: 0:01:27 time: 0.6885 data_time: 0.0006 memory: 4673 +2024/02/13 03:59:48 - mmengine - INFO - Epoch(val) [31][ 80/196] eta: 0:01:20 time: 0.6885 data_time: 0.0009 memory: 4673 +2024/02/13 03:59:55 - mmengine - INFO - Epoch(val) [31][ 90/196] eta: 0:01:13 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 04:00:02 - mmengine - INFO - Epoch(val) [31][100/196] eta: 0:01:06 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/13 04:00:09 - mmengine - INFO - Epoch(val) [31][110/196] eta: 0:00:59 time: 0.6872 data_time: 0.0004 memory: 4673 +2024/02/13 04:00:16 - mmengine - INFO - Epoch(val) [31][120/196] eta: 0:00:52 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/13 04:00:23 - mmengine - INFO - Epoch(val) [31][130/196] eta: 0:00:45 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 04:00:30 - mmengine - INFO - Epoch(val) [31][140/196] eta: 0:00:38 time: 0.6876 data_time: 0.0008 memory: 4673 +2024/02/13 04:00:36 - mmengine - INFO - Epoch(val) [31][150/196] eta: 0:00:31 time: 0.6879 data_time: 0.0005 memory: 4673 +2024/02/13 04:00:43 - mmengine - INFO - Epoch(val) [31][160/196] eta: 0:00:24 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 04:00:50 - mmengine - INFO - Epoch(val) [31][170/196] eta: 0:00:17 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 04:00:57 - mmengine - INFO - Epoch(val) [31][180/196] eta: 0:00:11 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 04:01:04 - mmengine - INFO - Epoch(val) [31][190/196] eta: 0:00:04 time: 0.6874 data_time: 0.0004 memory: 4673 +2024/02/13 04:01:18 - mmengine - INFO - Epoch(val) [31][196/196] accuracy/top1: 74.4200 accuracy/top5: 91.4780 data_time: 0.0018 time: 0.6845 +2024/02/13 04:02:58 - mmengine - INFO - Epoch(train) [32][10/78] lr: 5.3615e+00 eta: 10:39:41 time: 9.9645 data_time: 1.8778 memory: 41551 loss: 1.1893 +2024/02/13 04:04:19 - mmengine - INFO - Epoch(train) [32][20/78] lr: 5.3496e+00 eta: 10:38:13 time: 8.1225 data_time: 0.0046 memory: 41551 loss: 1.1672 +2024/02/13 04:05:41 - mmengine - INFO - Epoch(train) [32][30/78] lr: 5.3376e+00 eta: 10:36:45 time: 8.1345 data_time: 0.0053 memory: 41551 loss: 1.1732 +2024/02/13 04:07:02 - mmengine - INFO - Epoch(train) [32][40/78] lr: 5.3256e+00 eta: 10:35:18 time: 8.1315 data_time: 0.0062 memory: 41551 loss: 1.2256 +2024/02/13 04:08:23 - mmengine - INFO - Epoch(train) [32][50/78] lr: 5.3135e+00 eta: 10:33:50 time: 8.1209 data_time: 0.0057 memory: 41551 loss: 1.2098 +2024/02/13 04:09:44 - mmengine - INFO - Epoch(train) [32][60/78] lr: 5.3014e+00 eta: 10:32:22 time: 8.1311 data_time: 0.0052 memory: 41551 loss: 1.2214 +2024/02/13 04:11:06 - mmengine - INFO - Epoch(train) [32][70/78] lr: 5.2892e+00 eta: 10:30:54 time: 8.1289 data_time: 0.0066 memory: 41551 loss: 1.2427 +2024/02/13 04:12:11 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 04:12:11 - mmengine - INFO - Saving checkpoint at 32 epochs +2024/02/13 04:12:45 - mmengine - INFO - Epoch(val) [32][ 10/196] eta: 0:02:12 time: 0.7108 data_time: 0.0221 memory: 41551 +2024/02/13 04:12:52 - mmengine - INFO - Epoch(val) [32][ 20/196] eta: 0:02:03 time: 0.6881 data_time: 0.0016 memory: 4673 +2024/02/13 04:12:59 - mmengine - INFO - Epoch(val) [32][ 30/196] eta: 0:01:55 time: 0.6866 data_time: 0.0004 memory: 4673 +2024/02/13 04:13:06 - mmengine - INFO - Epoch(val) [32][ 40/196] eta: 0:01:48 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 04:13:12 - mmengine - INFO - Epoch(val) [32][ 50/196] eta: 0:01:41 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 04:13:19 - mmengine - INFO - Epoch(val) [32][ 60/196] eta: 0:01:34 time: 0.6876 data_time: 0.0008 memory: 4673 +2024/02/13 04:13:26 - mmengine - INFO - Epoch(val) [32][ 70/196] eta: 0:01:27 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 04:13:33 - mmengine - INFO - Epoch(val) [32][ 80/196] eta: 0:01:20 time: 0.6886 data_time: 0.0016 memory: 4673 +2024/02/13 04:13:40 - mmengine - INFO - Epoch(val) [32][ 90/196] eta: 0:01:13 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 04:13:47 - mmengine - INFO - Epoch(val) [32][100/196] eta: 0:01:06 time: 0.6878 data_time: 0.0009 memory: 4673 +2024/02/13 04:13:54 - mmengine - INFO - Epoch(val) [32][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 04:14:01 - mmengine - INFO - Epoch(val) [32][120/196] eta: 0:00:52 time: 0.6890 data_time: 0.0016 memory: 4673 +2024/02/13 04:14:07 - mmengine - INFO - Epoch(val) [32][130/196] eta: 0:00:45 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 04:14:14 - mmengine - INFO - Epoch(val) [32][140/196] eta: 0:00:38 time: 0.6890 data_time: 0.0015 memory: 4673 +2024/02/13 04:14:21 - mmengine - INFO - Epoch(val) [32][150/196] eta: 0:00:31 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 04:14:28 - mmengine - INFO - Epoch(val) [32][160/196] eta: 0:00:24 time: 0.6883 data_time: 0.0008 memory: 4673 +2024/02/13 04:14:35 - mmengine - INFO - Epoch(val) [32][170/196] eta: 0:00:17 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 04:14:42 - mmengine - INFO - Epoch(val) [32][180/196] eta: 0:00:11 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 04:14:49 - mmengine - INFO - Epoch(val) [32][190/196] eta: 0:00:04 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 04:15:03 - mmengine - INFO - Epoch(val) [32][196/196] accuracy/top1: 74.5680 accuracy/top5: 91.3860 data_time: 0.0019 time: 0.6844 +2024/02/13 04:16:43 - mmengine - INFO - Epoch(train) [33][10/78] lr: 5.2672e+00 eta: 10:28:50 time: 9.9687 data_time: 1.8790 memory: 41551 loss: 1.1555 +2024/02/13 04:18:04 - mmengine - INFO - Epoch(train) [33][20/78] lr: 5.2549e+00 eta: 10:27:22 time: 8.1302 data_time: 0.0061 memory: 41551 loss: 1.1662 +2024/02/13 04:19:25 - mmengine - INFO - Epoch(train) [33][30/78] lr: 5.2425e+00 eta: 10:25:55 time: 8.1470 data_time: 0.0049 memory: 41551 loss: 1.1896 +2024/02/13 04:20:47 - mmengine - INFO - Epoch(train) [33][40/78] lr: 5.2301e+00 eta: 10:24:28 time: 8.1389 data_time: 0.0060 memory: 41551 loss: 1.1901 +2024/02/13 04:22:08 - mmengine - INFO - Epoch(train) [33][50/78] lr: 5.2176e+00 eta: 10:23:00 time: 8.1309 data_time: 0.0064 memory: 41551 loss: 1.2255 +2024/02/13 04:23:30 - mmengine - INFO - Epoch(train) [33][60/78] lr: 5.2050e+00 eta: 10:21:33 time: 8.1378 data_time: 0.0053 memory: 41551 loss: 1.2259 +2024/02/13 04:24:51 - mmengine - INFO - Epoch(train) [33][70/78] lr: 5.1925e+00 eta: 10:20:05 time: 8.1459 data_time: 0.0063 memory: 41551 loss: 1.2186 +2024/02/13 04:25:56 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 04:25:56 - mmengine - INFO - Saving checkpoint at 33 epochs +2024/02/13 04:26:31 - mmengine - INFO - Epoch(val) [33][ 10/196] eta: 0:02:12 time: 0.7112 data_time: 0.0224 memory: 41551 +2024/02/13 04:26:38 - mmengine - INFO - Epoch(val) [33][ 20/196] eta: 0:02:03 time: 0.6879 data_time: 0.0017 memory: 4673 +2024/02/13 04:26:45 - mmengine - INFO - Epoch(val) [33][ 30/196] eta: 0:01:55 time: 0.6867 data_time: 0.0005 memory: 4673 +2024/02/13 04:26:52 - mmengine - INFO - Epoch(val) [33][ 40/196] eta: 0:01:48 time: 0.6886 data_time: 0.0017 memory: 4673 +2024/02/13 04:26:58 - mmengine - INFO - Epoch(val) [33][ 50/196] eta: 0:01:41 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 04:27:05 - mmengine - INFO - Epoch(val) [33][ 60/196] eta: 0:01:34 time: 0.6882 data_time: 0.0008 memory: 4673 +2024/02/13 04:27:12 - mmengine - INFO - Epoch(val) [33][ 70/196] eta: 0:01:27 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 04:27:19 - mmengine - INFO - Epoch(val) [33][ 80/196] eta: 0:01:20 time: 0.6877 data_time: 0.0008 memory: 4673 +2024/02/13 04:27:26 - mmengine - INFO - Epoch(val) [33][ 90/196] eta: 0:01:13 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 04:27:33 - mmengine - INFO - Epoch(val) [33][100/196] eta: 0:01:06 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 04:27:40 - mmengine - INFO - Epoch(val) [33][110/196] eta: 0:00:59 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 04:27:47 - mmengine - INFO - Epoch(val) [33][120/196] eta: 0:00:52 time: 0.6883 data_time: 0.0014 memory: 4673 +2024/02/13 04:27:53 - mmengine - INFO - Epoch(val) [33][130/196] eta: 0:00:45 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/13 04:28:00 - mmengine - INFO - Epoch(val) [33][140/196] eta: 0:00:38 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 04:28:07 - mmengine - INFO - Epoch(val) [33][150/196] eta: 0:00:31 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 04:28:14 - mmengine - INFO - Epoch(val) [33][160/196] eta: 0:00:24 time: 0.6884 data_time: 0.0009 memory: 4673 +2024/02/13 04:28:21 - mmengine - INFO - Epoch(val) [33][170/196] eta: 0:00:17 time: 0.6879 data_time: 0.0005 memory: 4673 +2024/02/13 04:28:28 - mmengine - INFO - Epoch(val) [33][180/196] eta: 0:00:11 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 04:28:35 - mmengine - INFO - Epoch(val) [33][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 04:28:49 - mmengine - INFO - Epoch(val) [33][196/196] accuracy/top1: 74.6740 accuracy/top5: 91.4840 data_time: 0.0019 time: 0.6842 +2024/02/13 04:30:29 - mmengine - INFO - Epoch(train) [34][10/78] lr: 5.1697e+00 eta: 10:18:01 time: 10.0267 data_time: 1.2334 memory: 41551 loss: 1.1449 +2024/02/13 04:31:51 - mmengine - INFO - Epoch(train) [34][20/78] lr: 5.1570e+00 eta: 10:16:33 time: 8.1249 data_time: 0.0054 memory: 41551 loss: 1.1797 +2024/02/13 04:33:12 - mmengine - INFO - Epoch(train) [34][30/78] lr: 5.1442e+00 eta: 10:15:06 time: 8.1394 data_time: 0.0055 memory: 41551 loss: 1.2055 +2024/02/13 04:34:34 - mmengine - INFO - Epoch(train) [34][40/78] lr: 5.1314e+00 eta: 10:13:39 time: 8.1463 data_time: 0.0054 memory: 41551 loss: 1.2023 +2024/02/13 04:35:55 - mmengine - INFO - Epoch(train) [34][50/78] lr: 5.1185e+00 eta: 10:12:12 time: 8.1360 data_time: 0.0059 memory: 41551 loss: 1.2067 +2024/02/13 04:37:16 - mmengine - INFO - Epoch(train) [34][60/78] lr: 5.1056e+00 eta: 10:10:44 time: 8.1395 data_time: 0.0060 memory: 41551 loss: 1.2217 +2024/02/13 04:38:38 - mmengine - INFO - Epoch(train) [34][70/78] lr: 5.0926e+00 eta: 10:09:17 time: 8.1425 data_time: 0.0054 memory: 41551 loss: 1.2097 +2024/02/13 04:39:43 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 04:39:43 - mmengine - INFO - Saving checkpoint at 34 epochs +2024/02/13 04:40:18 - mmengine - INFO - Epoch(val) [34][ 10/196] eta: 0:02:12 time: 0.7113 data_time: 0.0225 memory: 41551 +2024/02/13 04:40:25 - mmengine - INFO - Epoch(val) [34][ 20/196] eta: 0:02:03 time: 0.6875 data_time: 0.0009 memory: 4673 +2024/02/13 04:40:31 - mmengine - INFO - Epoch(val) [34][ 30/196] eta: 0:01:55 time: 0.6871 data_time: 0.0004 memory: 4673 +2024/02/13 04:40:38 - mmengine - INFO - Epoch(val) [34][ 40/196] eta: 0:01:48 time: 0.6884 data_time: 0.0017 memory: 4673 +2024/02/13 04:40:45 - mmengine - INFO - Epoch(val) [34][ 50/196] eta: 0:01:41 time: 0.6870 data_time: 0.0004 memory: 4673 +2024/02/13 04:40:52 - mmengine - INFO - Epoch(val) [34][ 60/196] eta: 0:01:34 time: 0.6878 data_time: 0.0010 memory: 4673 +2024/02/13 04:40:59 - mmengine - INFO - Epoch(val) [34][ 70/196] eta: 0:01:27 time: 0.6874 data_time: 0.0004 memory: 4673 +2024/02/13 04:41:06 - mmengine - INFO - Epoch(val) [34][ 80/196] eta: 0:01:20 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/13 04:41:13 - mmengine - INFO - Epoch(val) [34][ 90/196] eta: 0:01:13 time: 0.6878 data_time: 0.0004 memory: 4673 +2024/02/13 04:41:20 - mmengine - INFO - Epoch(val) [34][100/196] eta: 0:01:06 time: 0.6883 data_time: 0.0009 memory: 4673 +2024/02/13 04:41:26 - mmengine - INFO - Epoch(val) [34][110/196] eta: 0:00:59 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 04:41:33 - mmengine - INFO - Epoch(val) [34][120/196] eta: 0:00:52 time: 0.6884 data_time: 0.0010 memory: 4673 +2024/02/13 04:41:40 - mmengine - INFO - Epoch(val) [34][130/196] eta: 0:00:45 time: 0.6878 data_time: 0.0004 memory: 4673 +2024/02/13 04:41:47 - mmengine - INFO - Epoch(val) [34][140/196] eta: 0:00:38 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 04:41:54 - mmengine - INFO - Epoch(val) [34][150/196] eta: 0:00:31 time: 0.6879 data_time: 0.0004 memory: 4673 +2024/02/13 04:42:01 - mmengine - INFO - Epoch(val) [34][160/196] eta: 0:00:24 time: 0.6889 data_time: 0.0016 memory: 4673 +2024/02/13 04:42:08 - mmengine - INFO - Epoch(val) [34][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0004 memory: 4673 +2024/02/13 04:42:15 - mmengine - INFO - Epoch(val) [34][180/196] eta: 0:00:11 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 04:42:22 - mmengine - INFO - Epoch(val) [34][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0004 memory: 4673 +2024/02/13 04:42:36 - mmengine - INFO - Epoch(val) [34][196/196] accuracy/top1: 74.6640 accuracy/top5: 91.3360 data_time: 0.0019 time: 0.6844 +2024/02/13 04:44:10 - mmengine - INFO - Epoch(train) [35][10/78] lr: 5.0692e+00 eta: 10:07:02 time: 9.4260 data_time: 1.2258 memory: 41551 loss: 1.1574 +2024/02/13 04:45:32 - mmengine - INFO - Epoch(train) [35][20/78] lr: 5.0561e+00 eta: 10:05:34 time: 8.1246 data_time: 0.0064 memory: 41551 loss: 1.1744 +2024/02/13 04:46:53 - mmengine - INFO - Epoch(train) [35][30/78] lr: 5.0429e+00 eta: 10:04:07 time: 8.1381 data_time: 0.0062 memory: 41551 loss: 1.1717 +2024/02/13 04:48:14 - mmengine - INFO - Epoch(train) [35][40/78] lr: 5.0297e+00 eta: 10:02:40 time: 8.1283 data_time: 0.0054 memory: 41551 loss: 1.2064 +2024/02/13 04:49:36 - mmengine - INFO - Epoch(train) [35][50/78] lr: 5.0165e+00 eta: 10:01:13 time: 8.1268 data_time: 0.0056 memory: 41551 loss: 1.2100 +2024/02/13 04:50:57 - mmengine - INFO - Epoch(train) [35][60/78] lr: 5.0032e+00 eta: 9:59:46 time: 8.1275 data_time: 0.0049 memory: 41551 loss: 1.2112 +2024/02/13 04:52:18 - mmengine - INFO - Epoch(train) [35][70/78] lr: 4.9899e+00 eta: 9:58:18 time: 8.1261 data_time: 0.0057 memory: 41551 loss: 1.2233 +2024/02/13 04:53:23 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 04:53:23 - mmengine - INFO - Saving checkpoint at 35 epochs +2024/02/13 04:53:58 - mmengine - INFO - Epoch(val) [35][ 10/196] eta: 0:02:12 time: 0.7122 data_time: 0.0223 memory: 41551 +2024/02/13 04:54:05 - mmengine - INFO - Epoch(val) [35][ 20/196] eta: 0:02:03 time: 0.6877 data_time: 0.0008 memory: 4673 +2024/02/13 04:54:12 - mmengine - INFO - Epoch(val) [35][ 30/196] eta: 0:01:55 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 04:54:19 - mmengine - INFO - Epoch(val) [35][ 40/196] eta: 0:01:48 time: 0.6885 data_time: 0.0008 memory: 4673 +2024/02/13 04:54:26 - mmengine - INFO - Epoch(val) [35][ 50/196] eta: 0:01:41 time: 0.6884 data_time: 0.0007 memory: 4673 +2024/02/13 04:54:33 - mmengine - INFO - Epoch(val) [35][ 60/196] eta: 0:01:34 time: 0.6886 data_time: 0.0009 memory: 4673 +2024/02/13 04:54:40 - mmengine - INFO - Epoch(val) [35][ 70/196] eta: 0:01:27 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 04:54:47 - mmengine - INFO - Epoch(val) [35][ 80/196] eta: 0:01:20 time: 0.6885 data_time: 0.0008 memory: 4673 +2024/02/13 04:54:53 - mmengine - INFO - Epoch(val) [35][ 90/196] eta: 0:01:13 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 04:55:00 - mmengine - INFO - Epoch(val) [35][100/196] eta: 0:01:06 time: 0.6886 data_time: 0.0016 memory: 4673 +2024/02/13 04:55:07 - mmengine - INFO - Epoch(val) [35][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 04:55:14 - mmengine - INFO - Epoch(val) [35][120/196] eta: 0:00:52 time: 0.6889 data_time: 0.0014 memory: 4673 +2024/02/13 04:55:21 - mmengine - INFO - Epoch(val) [35][130/196] eta: 0:00:45 time: 0.6883 data_time: 0.0006 memory: 4673 +2024/02/13 04:55:28 - mmengine - INFO - Epoch(val) [35][140/196] eta: 0:00:38 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 04:55:35 - mmengine - INFO - Epoch(val) [35][150/196] eta: 0:00:31 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 04:55:42 - mmengine - INFO - Epoch(val) [35][160/196] eta: 0:00:24 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 04:55:49 - mmengine - INFO - Epoch(val) [35][170/196] eta: 0:00:17 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 04:55:55 - mmengine - INFO - Epoch(val) [35][180/196] eta: 0:00:11 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 04:56:02 - mmengine - INFO - Epoch(val) [35][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0004 memory: 4673 +2024/02/13 04:56:17 - mmengine - INFO - Epoch(val) [35][196/196] accuracy/top1: 74.5860 accuracy/top5: 91.3760 data_time: 0.0019 time: 0.6847 +2024/02/13 04:57:51 - mmengine - INFO - Epoch(train) [36][10/78] lr: 4.9658e+00 eta: 9:56:02 time: 9.4347 data_time: 1.2168 memory: 41551 loss: 1.1350 +2024/02/13 04:59:12 - mmengine - INFO - Epoch(train) [36][20/78] lr: 4.9523e+00 eta: 9:54:35 time: 8.1334 data_time: 0.0050 memory: 41551 loss: 1.1852 +2024/02/13 05:00:34 - mmengine - INFO - Epoch(train) [36][30/78] lr: 4.9388e+00 eta: 9:53:08 time: 8.1289 data_time: 0.0067 memory: 41551 loss: 1.2009 +2024/02/13 05:01:55 - mmengine - INFO - Epoch(train) [36][40/78] lr: 4.9252e+00 eta: 9:51:42 time: 8.1470 data_time: 0.0069 memory: 41551 loss: 1.2088 +2024/02/13 05:03:16 - mmengine - INFO - Epoch(train) [36][50/78] lr: 4.9117e+00 eta: 9:50:15 time: 8.1424 data_time: 0.0053 memory: 41551 loss: 1.2027 +2024/02/13 05:04:38 - mmengine - INFO - Epoch(train) [36][60/78] lr: 4.8980e+00 eta: 9:48:48 time: 8.1426 data_time: 0.0063 memory: 41551 loss: 1.2003 +2024/02/13 05:05:59 - mmengine - INFO - Epoch(train) [36][70/78] lr: 4.8843e+00 eta: 9:47:22 time: 8.1474 data_time: 0.0060 memory: 41551 loss: 1.2219 +2024/02/13 05:07:04 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 05:07:04 - mmengine - INFO - Saving checkpoint at 36 epochs +2024/02/13 05:07:39 - mmengine - INFO - Epoch(val) [36][ 10/196] eta: 0:02:12 time: 0.7111 data_time: 0.0223 memory: 41551 +2024/02/13 05:07:46 - mmengine - INFO - Epoch(val) [36][ 20/196] eta: 0:02:03 time: 0.6876 data_time: 0.0010 memory: 4673 +2024/02/13 05:07:53 - mmengine - INFO - Epoch(val) [36][ 30/196] eta: 0:01:55 time: 0.6870 data_time: 0.0004 memory: 4673 +2024/02/13 05:08:00 - mmengine - INFO - Epoch(val) [36][ 40/196] eta: 0:01:48 time: 0.6883 data_time: 0.0009 memory: 4673 +2024/02/13 05:08:07 - mmengine - INFO - Epoch(val) [36][ 50/196] eta: 0:01:41 time: 0.6872 data_time: 0.0004 memory: 4673 +2024/02/13 05:08:14 - mmengine - INFO - Epoch(val) [36][ 60/196] eta: 0:01:34 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/13 05:08:20 - mmengine - INFO - Epoch(val) [36][ 70/196] eta: 0:01:27 time: 0.6873 data_time: 0.0004 memory: 4673 +2024/02/13 05:08:27 - mmengine - INFO - Epoch(val) [36][ 80/196] eta: 0:01:20 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/13 05:08:34 - mmengine - INFO - Epoch(val) [36][ 90/196] eta: 0:01:13 time: 0.6877 data_time: 0.0004 memory: 4673 +2024/02/13 05:08:41 - mmengine - INFO - Epoch(val) [36][100/196] eta: 0:01:06 time: 0.6885 data_time: 0.0009 memory: 4673 +2024/02/13 05:08:48 - mmengine - INFO - Epoch(val) [36][110/196] eta: 0:00:59 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 05:08:55 - mmengine - INFO - Epoch(val) [36][120/196] eta: 0:00:52 time: 0.6889 data_time: 0.0012 memory: 4673 +2024/02/13 05:09:02 - mmengine - INFO - Epoch(val) [36][130/196] eta: 0:00:45 time: 0.6876 data_time: 0.0004 memory: 4673 +2024/02/13 05:09:09 - mmengine - INFO - Epoch(val) [36][140/196] eta: 0:00:38 time: 0.6878 data_time: 0.0008 memory: 4673 +2024/02/13 05:09:15 - mmengine - INFO - Epoch(val) [36][150/196] eta: 0:00:31 time: 0.6877 data_time: 0.0004 memory: 4673 +2024/02/13 05:09:22 - mmengine - INFO - Epoch(val) [36][160/196] eta: 0:00:24 time: 0.6883 data_time: 0.0010 memory: 4673 +2024/02/13 05:09:29 - mmengine - INFO - Epoch(val) [36][170/196] eta: 0:00:17 time: 0.6877 data_time: 0.0004 memory: 4673 +2024/02/13 05:09:36 - mmengine - INFO - Epoch(val) [36][180/196] eta: 0:00:11 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/13 05:09:43 - mmengine - INFO - Epoch(val) [36][190/196] eta: 0:00:04 time: 0.6877 data_time: 0.0004 memory: 4673 +2024/02/13 05:09:58 - mmengine - INFO - Epoch(val) [36][196/196] accuracy/top1: 74.5060 accuracy/top5: 91.5140 data_time: 0.0018 time: 0.6844 +2024/02/13 05:11:32 - mmengine - INFO - Epoch(train) [37][10/78] lr: 4.8596e+00 eta: 9:45:04 time: 9.4111 data_time: 1.3032 memory: 41551 loss: 1.1491 +2024/02/13 05:12:53 - mmengine - INFO - Epoch(train) [37][20/78] lr: 4.8458e+00 eta: 9:43:37 time: 8.1237 data_time: 0.0052 memory: 41551 loss: 1.1993 +2024/02/13 05:14:14 - mmengine - INFO - Epoch(train) [37][30/78] lr: 4.8320e+00 eta: 9:42:11 time: 8.1424 data_time: 0.0058 memory: 41551 loss: 1.1590 +2024/02/13 05:15:36 - mmengine - INFO - Epoch(train) [37][40/78] lr: 4.8181e+00 eta: 9:40:44 time: 8.1456 data_time: 0.0060 memory: 41551 loss: 1.1909 +2024/02/13 05:16:57 - mmengine - INFO - Epoch(train) [37][50/78] lr: 4.8042e+00 eta: 9:39:18 time: 8.1403 data_time: 0.0067 memory: 41551 loss: 1.1748 +2024/02/13 05:18:19 - mmengine - INFO - Epoch(train) [37][60/78] lr: 4.7902e+00 eta: 9:37:51 time: 8.1467 data_time: 0.0057 memory: 41551 loss: 1.2361 +2024/02/13 05:19:40 - mmengine - INFO - Epoch(train) [37][70/78] lr: 4.7762e+00 eta: 9:36:25 time: 8.1463 data_time: 0.0084 memory: 41551 loss: 1.2227 +2024/02/13 05:20:45 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 05:20:45 - mmengine - INFO - Saving checkpoint at 37 epochs +2024/02/13 05:21:20 - mmengine - INFO - Epoch(val) [37][ 10/196] eta: 0:02:12 time: 0.7104 data_time: 0.0221 memory: 41551 +2024/02/13 05:21:27 - mmengine - INFO - Epoch(val) [37][ 20/196] eta: 0:02:02 time: 0.6870 data_time: 0.0008 memory: 4673 +2024/02/13 05:21:34 - mmengine - INFO - Epoch(val) [37][ 30/196] eta: 0:01:55 time: 0.6863 data_time: 0.0004 memory: 4673 +2024/02/13 05:21:41 - mmengine - INFO - Epoch(val) [37][ 40/196] eta: 0:01:48 time: 0.6871 data_time: 0.0008 memory: 4673 +2024/02/13 05:21:47 - mmengine - INFO - Epoch(val) [37][ 50/196] eta: 0:01:40 time: 0.6866 data_time: 0.0004 memory: 4673 +2024/02/13 05:21:54 - mmengine - INFO - Epoch(val) [37][ 60/196] eta: 0:01:33 time: 0.6878 data_time: 0.0009 memory: 4673 +2024/02/13 05:22:01 - mmengine - INFO - Epoch(val) [37][ 70/196] eta: 0:01:26 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 05:22:08 - mmengine - INFO - Epoch(val) [37][ 80/196] eta: 0:01:20 time: 0.6887 data_time: 0.0016 memory: 4673 +2024/02/13 05:22:15 - mmengine - INFO - Epoch(val) [37][ 90/196] eta: 0:01:13 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 05:22:22 - mmengine - INFO - Epoch(val) [37][100/196] eta: 0:01:06 time: 0.6884 data_time: 0.0010 memory: 4673 +2024/02/13 05:22:29 - mmengine - INFO - Epoch(val) [37][110/196] eta: 0:00:59 time: 0.6882 data_time: 0.0006 memory: 4673 +2024/02/13 05:22:36 - mmengine - INFO - Epoch(val) [37][120/196] eta: 0:00:52 time: 0.6892 data_time: 0.0018 memory: 4673 +2024/02/13 05:22:42 - mmengine - INFO - Epoch(val) [37][130/196] eta: 0:00:45 time: 0.6879 data_time: 0.0005 memory: 4673 +2024/02/13 05:22:49 - mmengine - INFO - Epoch(val) [37][140/196] eta: 0:00:38 time: 0.6882 data_time: 0.0009 memory: 4673 +2024/02/13 05:22:56 - mmengine - INFO - Epoch(val) [37][150/196] eta: 0:00:31 time: 0.6879 data_time: 0.0005 memory: 4673 +2024/02/13 05:23:03 - mmengine - INFO - Epoch(val) [37][160/196] eta: 0:00:24 time: 0.6882 data_time: 0.0008 memory: 4673 +2024/02/13 05:23:10 - mmengine - INFO - Epoch(val) [37][170/196] eta: 0:00:17 time: 0.6877 data_time: 0.0004 memory: 4673 +2024/02/13 05:23:17 - mmengine - INFO - Epoch(val) [37][180/196] eta: 0:00:11 time: 0.6886 data_time: 0.0015 memory: 4673 +2024/02/13 05:23:24 - mmengine - INFO - Epoch(val) [37][190/196] eta: 0:00:04 time: 0.6874 data_time: 0.0004 memory: 4673 +2024/02/13 05:23:38 - mmengine - INFO - Epoch(val) [37][196/196] accuracy/top1: 75.0040 accuracy/top5: 91.4920 data_time: 0.0019 time: 0.6843 +2024/02/13 05:25:12 - mmengine - INFO - Epoch(train) [38][10/78] lr: 4.7509e+00 eta: 9:34:07 time: 9.4192 data_time: 1.3020 memory: 41551 loss: 1.1236 +2024/02/13 05:26:33 - mmengine - INFO - Epoch(train) [38][20/78] lr: 4.7368e+00 eta: 9:32:40 time: 8.1271 data_time: 0.0066 memory: 41551 loss: 1.1565 +2024/02/13 05:27:55 - mmengine - INFO - Epoch(train) [38][30/78] lr: 4.7227e+00 eta: 9:31:14 time: 8.1286 data_time: 0.0063 memory: 41551 loss: 1.1951 +2024/02/13 05:29:16 - mmengine - INFO - Epoch(train) [38][40/78] lr: 4.7085e+00 eta: 9:29:47 time: 8.1329 data_time: 0.0057 memory: 41551 loss: 1.1986 +2024/02/13 05:30:37 - mmengine - INFO - Epoch(train) [38][50/78] lr: 4.6942e+00 eta: 9:28:21 time: 8.1434 data_time: 0.0099 memory: 41551 loss: 1.1847 +2024/02/13 05:31:59 - mmengine - INFO - Epoch(train) [38][60/78] lr: 4.6800e+00 eta: 9:26:54 time: 8.1503 data_time: 0.0059 memory: 41551 loss: 1.2029 +2024/02/13 05:33:20 - mmengine - INFO - Epoch(train) [38][70/78] lr: 4.6657e+00 eta: 9:25:28 time: 8.1452 data_time: 0.0064 memory: 41551 loss: 1.1801 +2024/02/13 05:34:26 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 05:34:26 - mmengine - INFO - Saving checkpoint at 38 epochs +2024/02/13 05:35:01 - mmengine - INFO - Epoch(val) [38][ 10/196] eta: 0:02:12 time: 0.7122 data_time: 0.0221 memory: 41551 +2024/02/13 05:35:07 - mmengine - INFO - Epoch(val) [38][ 20/196] eta: 0:02:03 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/13 05:35:14 - mmengine - INFO - Epoch(val) [38][ 30/196] eta: 0:01:55 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 05:35:21 - mmengine - INFO - Epoch(val) [38][ 40/196] eta: 0:01:48 time: 0.6884 data_time: 0.0009 memory: 4673 +2024/02/13 05:35:28 - mmengine - INFO - Epoch(val) [38][ 50/196] eta: 0:01:41 time: 0.6884 data_time: 0.0007 memory: 4673 +2024/02/13 05:35:35 - mmengine - INFO - Epoch(val) [38][ 60/196] eta: 0:01:34 time: 0.6884 data_time: 0.0009 memory: 4673 +2024/02/13 05:35:42 - mmengine - INFO - Epoch(val) [38][ 70/196] eta: 0:01:27 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 05:35:49 - mmengine - INFO - Epoch(val) [38][ 80/196] eta: 0:01:20 time: 0.6882 data_time: 0.0008 memory: 4673 +2024/02/13 05:35:56 - mmengine - INFO - Epoch(val) [38][ 90/196] eta: 0:01:13 time: 0.6884 data_time: 0.0007 memory: 4673 +2024/02/13 05:36:03 - mmengine - INFO - Epoch(val) [38][100/196] eta: 0:01:06 time: 0.6891 data_time: 0.0015 memory: 4673 +2024/02/13 05:36:09 - mmengine - INFO - Epoch(val) [38][110/196] eta: 0:00:59 time: 0.6885 data_time: 0.0006 memory: 4673 +2024/02/13 05:36:16 - mmengine - INFO - Epoch(val) [38][120/196] eta: 0:00:52 time: 0.6883 data_time: 0.0008 memory: 4673 +2024/02/13 05:36:23 - mmengine - INFO - Epoch(val) [38][130/196] eta: 0:00:45 time: 0.6883 data_time: 0.0007 memory: 4673 +2024/02/13 05:36:30 - mmengine - INFO - Epoch(val) [38][140/196] eta: 0:00:38 time: 0.6894 data_time: 0.0016 memory: 4673 +2024/02/13 05:36:37 - mmengine - INFO - Epoch(val) [38][150/196] eta: 0:00:31 time: 0.6883 data_time: 0.0006 memory: 4673 +2024/02/13 05:36:44 - mmengine - INFO - Epoch(val) [38][160/196] eta: 0:00:24 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 05:36:51 - mmengine - INFO - Epoch(val) [38][170/196] eta: 0:00:17 time: 0.6879 data_time: 0.0005 memory: 4673 +2024/02/13 05:36:58 - mmengine - INFO - Epoch(val) [38][180/196] eta: 0:00:11 time: 0.6887 data_time: 0.0016 memory: 4673 +2024/02/13 05:37:05 - mmengine - INFO - Epoch(val) [38][190/196] eta: 0:00:04 time: 0.6871 data_time: 0.0004 memory: 4673 +2024/02/13 05:37:19 - mmengine - INFO - Epoch(val) [38][196/196] accuracy/top1: 74.7840 accuracy/top5: 91.4920 data_time: 0.0020 time: 0.6849 +2024/02/13 05:38:59 - mmengine - INFO - Epoch(train) [39][10/78] lr: 4.6398e+00 eta: 9:23:18 time: 9.9826 data_time: 1.2515 memory: 41551 loss: 1.1578 +2024/02/13 05:40:20 - mmengine - INFO - Epoch(train) [39][20/78] lr: 4.6254e+00 eta: 9:21:51 time: 8.1401 data_time: 0.0065 memory: 41551 loss: 1.1527 +2024/02/13 05:41:42 - mmengine - INFO - Epoch(train) [39][30/78] lr: 4.6110e+00 eta: 9:20:25 time: 8.1358 data_time: 0.0062 memory: 41551 loss: 1.1828 +2024/02/13 05:42:30 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 05:43:03 - mmengine - INFO - Epoch(train) [39][40/78] lr: 4.5965e+00 eta: 9:18:58 time: 8.1295 data_time: 0.0061 memory: 41551 loss: 1.1634 +2024/02/13 05:44:24 - mmengine - INFO - Epoch(train) [39][50/78] lr: 4.5820e+00 eta: 9:17:32 time: 8.1438 data_time: 0.0065 memory: 41551 loss: 1.1936 +2024/02/13 05:45:46 - mmengine - INFO - Epoch(train) [39][60/78] lr: 4.5674e+00 eta: 9:16:06 time: 8.1411 data_time: 0.0058 memory: 41551 loss: 1.1794 +2024/02/13 05:47:07 - mmengine - INFO - Epoch(train) [39][70/78] lr: 4.5529e+00 eta: 9:14:40 time: 8.1431 data_time: 0.0077 memory: 41551 loss: 1.2202 +2024/02/13 05:48:12 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 05:48:12 - mmengine - INFO - Saving checkpoint at 39 epochs +2024/02/13 05:48:46 - mmengine - INFO - Epoch(val) [39][ 10/196] eta: 0:02:12 time: 0.7131 data_time: 0.0223 memory: 41551 +2024/02/13 05:48:53 - mmengine - INFO - Epoch(val) [39][ 20/196] eta: 0:02:03 time: 0.6885 data_time: 0.0017 memory: 4673 +2024/02/13 05:49:00 - mmengine - INFO - Epoch(val) [39][ 30/196] eta: 0:01:55 time: 0.6867 data_time: 0.0004 memory: 4673 +2024/02/13 05:49:07 - mmengine - INFO - Epoch(val) [39][ 40/196] eta: 0:01:48 time: 0.6875 data_time: 0.0008 memory: 4673 +2024/02/13 05:49:14 - mmengine - INFO - Epoch(val) [39][ 50/196] eta: 0:01:41 time: 0.6869 data_time: 0.0004 memory: 4673 +2024/02/13 05:49:21 - mmengine - INFO - Epoch(val) [39][ 60/196] eta: 0:01:34 time: 0.6886 data_time: 0.0017 memory: 4673 +2024/02/13 05:49:28 - mmengine - INFO - Epoch(val) [39][ 70/196] eta: 0:01:27 time: 0.6872 data_time: 0.0004 memory: 4673 +2024/02/13 05:49:35 - mmengine - INFO - Epoch(val) [39][ 80/196] eta: 0:01:20 time: 0.6873 data_time: 0.0008 memory: 4673 +2024/02/13 05:49:41 - mmengine - INFO - Epoch(val) [39][ 90/196] eta: 0:01:13 time: 0.6870 data_time: 0.0004 memory: 4673 +2024/02/13 05:49:48 - mmengine - INFO - Epoch(val) [39][100/196] eta: 0:01:06 time: 0.6875 data_time: 0.0009 memory: 4673 +2024/02/13 05:49:55 - mmengine - INFO - Epoch(val) [39][110/196] eta: 0:00:59 time: 0.6870 data_time: 0.0004 memory: 4673 +2024/02/13 05:50:02 - mmengine - INFO - Epoch(val) [39][120/196] eta: 0:00:52 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 05:50:09 - mmengine - INFO - Epoch(val) [39][130/196] eta: 0:00:45 time: 0.6876 data_time: 0.0004 memory: 4673 +2024/02/13 05:50:16 - mmengine - INFO - Epoch(val) [39][140/196] eta: 0:00:38 time: 0.6885 data_time: 0.0010 memory: 4673 +2024/02/13 05:50:23 - mmengine - INFO - Epoch(val) [39][150/196] eta: 0:00:31 time: 0.6879 data_time: 0.0005 memory: 4673 +2024/02/13 05:50:30 - mmengine - INFO - Epoch(val) [39][160/196] eta: 0:00:24 time: 0.6881 data_time: 0.0009 memory: 4673 +2024/02/13 05:50:36 - mmengine - INFO - Epoch(val) [39][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0004 memory: 4673 +2024/02/13 05:50:43 - mmengine - INFO - Epoch(val) [39][180/196] eta: 0:00:11 time: 0.6883 data_time: 0.0009 memory: 4673 +2024/02/13 05:50:50 - mmengine - INFO - Epoch(val) [39][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 05:51:04 - mmengine - INFO - Epoch(val) [39][196/196] accuracy/top1: 74.6060 accuracy/top5: 91.4000 data_time: 0.0018 time: 0.6843 +2024/02/13 05:52:44 - mmengine - INFO - Epoch(train) [40][10/78] lr: 4.5265e+00 eta: 9:12:28 time: 9.9118 data_time: 1.1847 memory: 41551 loss: 1.1258 +2024/02/13 05:54:05 - mmengine - INFO - Epoch(train) [40][20/78] lr: 4.5119e+00 eta: 9:11:01 time: 8.1548 data_time: 0.0067 memory: 41551 loss: 1.1611 +2024/02/13 05:55:26 - mmengine - INFO - Epoch(train) [40][30/78] lr: 4.4971e+00 eta: 9:09:35 time: 8.1406 data_time: 0.0071 memory: 41551 loss: 1.1602 +2024/02/13 05:56:48 - mmengine - INFO - Epoch(train) [40][40/78] lr: 4.4824e+00 eta: 9:08:09 time: 8.1282 data_time: 0.0063 memory: 41551 loss: 1.1613 +2024/02/13 05:58:09 - mmengine - INFO - Epoch(train) [40][50/78] lr: 4.4676e+00 eta: 9:06:42 time: 8.1341 data_time: 0.0054 memory: 41551 loss: 1.1919 +2024/02/13 05:59:30 - mmengine - INFO - Epoch(train) [40][60/78] lr: 4.4528e+00 eta: 9:05:16 time: 8.1391 data_time: 0.0059 memory: 41551 loss: 1.2066 +2024/02/13 06:00:52 - mmengine - INFO - Epoch(train) [40][70/78] lr: 4.4380e+00 eta: 9:03:50 time: 8.1382 data_time: 0.0055 memory: 41551 loss: 1.1979 +2024/02/13 06:01:57 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 06:01:57 - mmengine - INFO - Saving checkpoint at 40 epochs +2024/02/13 06:02:32 - mmengine - INFO - Epoch(val) [40][ 10/196] eta: 0:02:12 time: 0.7111 data_time: 0.0223 memory: 41551 +2024/02/13 06:02:39 - mmengine - INFO - Epoch(val) [40][ 20/196] eta: 0:02:03 time: 0.6870 data_time: 0.0008 memory: 4673 +2024/02/13 06:02:45 - mmengine - INFO - Epoch(val) [40][ 30/196] eta: 0:01:55 time: 0.6863 data_time: 0.0004 memory: 4673 +2024/02/13 06:02:52 - mmengine - INFO - Epoch(val) [40][ 40/196] eta: 0:01:48 time: 0.6880 data_time: 0.0018 memory: 4673 +2024/02/13 06:02:59 - mmengine - INFO - Epoch(val) [40][ 50/196] eta: 0:01:41 time: 0.6866 data_time: 0.0004 memory: 4673 +2024/02/13 06:03:06 - mmengine - INFO - Epoch(val) [40][ 60/196] eta: 0:01:33 time: 0.6874 data_time: 0.0008 memory: 4673 +2024/02/13 06:03:13 - mmengine - INFO - Epoch(val) [40][ 70/196] eta: 0:01:27 time: 0.6870 data_time: 0.0005 memory: 4673 +2024/02/13 06:03:20 - mmengine - INFO - Epoch(val) [40][ 80/196] eta: 0:01:20 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 06:03:27 - mmengine - INFO - Epoch(val) [40][ 90/196] eta: 0:01:13 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 06:03:33 - mmengine - INFO - Epoch(val) [40][100/196] eta: 0:01:06 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 06:03:40 - mmengine - INFO - Epoch(val) [40][110/196] eta: 0:00:59 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 06:03:47 - mmengine - INFO - Epoch(val) [40][120/196] eta: 0:00:52 time: 0.6876 data_time: 0.0008 memory: 4673 +2024/02/13 06:03:54 - mmengine - INFO - Epoch(val) [40][130/196] eta: 0:00:45 time: 0.6871 data_time: 0.0005 memory: 4673 +2024/02/13 06:04:01 - mmengine - INFO - Epoch(val) [40][140/196] eta: 0:00:38 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/13 06:04:08 - mmengine - INFO - Epoch(val) [40][150/196] eta: 0:00:31 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 06:04:15 - mmengine - INFO - Epoch(val) [40][160/196] eta: 0:00:24 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/13 06:04:22 - mmengine - INFO - Epoch(val) [40][170/196] eta: 0:00:17 time: 0.6879 data_time: 0.0005 memory: 4673 +2024/02/13 06:04:29 - mmengine - INFO - Epoch(val) [40][180/196] eta: 0:00:11 time: 0.6890 data_time: 0.0016 memory: 4673 +2024/02/13 06:04:35 - mmengine - INFO - Epoch(val) [40][190/196] eta: 0:00:04 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 06:04:50 - mmengine - INFO - Epoch(val) [40][196/196] accuracy/top1: 74.6940 accuracy/top5: 91.5560 data_time: 0.0018 time: 0.6840 +2024/02/13 06:06:27 - mmengine - INFO - Epoch(train) [41][10/78] lr: 4.4112e+00 eta: 9:01:35 time: 9.7116 data_time: 1.3109 memory: 41551 loss: 1.1417 +2024/02/13 06:07:48 - mmengine - INFO - Epoch(train) [41][20/78] lr: 4.3963e+00 eta: 9:00:08 time: 8.1285 data_time: 0.0055 memory: 41551 loss: 1.1584 +2024/02/13 06:09:10 - mmengine - INFO - Epoch(train) [41][30/78] lr: 4.3813e+00 eta: 8:58:42 time: 8.1439 data_time: 0.0058 memory: 41551 loss: 1.1686 +2024/02/13 06:10:31 - mmengine - INFO - Epoch(train) [41][40/78] lr: 4.3663e+00 eta: 8:57:16 time: 8.1293 data_time: 0.0055 memory: 41551 loss: 1.1600 +2024/02/13 06:11:52 - mmengine - INFO - Epoch(train) [41][50/78] lr: 4.3513e+00 eta: 8:55:50 time: 8.1312 data_time: 0.0060 memory: 41551 loss: 1.1596 +2024/02/13 06:13:14 - mmengine - INFO - Epoch(train) [41][60/78] lr: 4.3362e+00 eta: 8:54:24 time: 8.1324 data_time: 0.0057 memory: 41551 loss: 1.1772 +2024/02/13 06:14:35 - mmengine - INFO - Epoch(train) [41][70/78] lr: 4.3212e+00 eta: 8:52:57 time: 8.1330 data_time: 0.0087 memory: 41551 loss: 1.1520 +2024/02/13 06:15:40 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 06:15:40 - mmengine - INFO - Saving checkpoint at 41 epochs +2024/02/13 06:16:15 - mmengine - INFO - Epoch(val) [41][ 10/196] eta: 0:02:12 time: 0.7113 data_time: 0.0223 memory: 41551 +2024/02/13 06:16:22 - mmengine - INFO - Epoch(val) [41][ 20/196] eta: 0:02:03 time: 0.6873 data_time: 0.0009 memory: 4673 +2024/02/13 06:16:29 - mmengine - INFO - Epoch(val) [41][ 30/196] eta: 0:01:55 time: 0.6867 data_time: 0.0005 memory: 4673 +2024/02/13 06:16:35 - mmengine - INFO - Epoch(val) [41][ 40/196] eta: 0:01:48 time: 0.6867 data_time: 0.0008 memory: 4673 +2024/02/13 06:16:42 - mmengine - INFO - Epoch(val) [41][ 50/196] eta: 0:01:40 time: 0.6866 data_time: 0.0004 memory: 4673 +2024/02/13 06:16:49 - mmengine - INFO - Epoch(val) [41][ 60/196] eta: 0:01:33 time: 0.6882 data_time: 0.0017 memory: 4673 +2024/02/13 06:16:56 - mmengine - INFO - Epoch(val) [41][ 70/196] eta: 0:01:27 time: 0.6870 data_time: 0.0004 memory: 4673 +2024/02/13 06:17:03 - mmengine - INFO - Epoch(val) [41][ 80/196] eta: 0:01:20 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 06:17:10 - mmengine - INFO - Epoch(val) [41][ 90/196] eta: 0:01:13 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 06:17:17 - mmengine - INFO - Epoch(val) [41][100/196] eta: 0:01:06 time: 0.6887 data_time: 0.0009 memory: 4673 +2024/02/13 06:17:24 - mmengine - INFO - Epoch(val) [41][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0005 memory: 4673 +2024/02/13 06:17:30 - mmengine - INFO - Epoch(val) [41][120/196] eta: 0:00:52 time: 0.6885 data_time: 0.0009 memory: 4673 +2024/02/13 06:17:37 - mmengine - INFO - Epoch(val) [41][130/196] eta: 0:00:45 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 06:17:44 - mmengine - INFO - Epoch(val) [41][140/196] eta: 0:00:38 time: 0.6878 data_time: 0.0009 memory: 4673 +2024/02/13 06:17:51 - mmengine - INFO - Epoch(val) [41][150/196] eta: 0:00:31 time: 0.6879 data_time: 0.0004 memory: 4673 +2024/02/13 06:17:58 - mmengine - INFO - Epoch(val) [41][160/196] eta: 0:00:24 time: 0.6882 data_time: 0.0010 memory: 4673 +2024/02/13 06:18:05 - mmengine - INFO - Epoch(val) [41][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0004 memory: 4673 +2024/02/13 06:18:12 - mmengine - INFO - Epoch(val) [41][180/196] eta: 0:00:11 time: 0.6889 data_time: 0.0015 memory: 4673 +2024/02/13 06:18:19 - mmengine - INFO - Epoch(val) [41][190/196] eta: 0:00:04 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 06:18:33 - mmengine - INFO - Epoch(val) [41][196/196] accuracy/top1: 75.0160 accuracy/top5: 91.5080 data_time: 0.0018 time: 0.6842 +2024/02/13 06:20:07 - mmengine - INFO - Epoch(train) [42][10/78] lr: 4.2940e+00 eta: 8:50:38 time: 9.4017 data_time: 1.2079 memory: 41551 loss: 1.1393 +2024/02/13 06:21:29 - mmengine - INFO - Epoch(train) [42][20/78] lr: 4.2788e+00 eta: 8:49:11 time: 8.1245 data_time: 0.0046 memory: 41551 loss: 1.1693 +2024/02/13 06:22:50 - mmengine - INFO - Epoch(train) [42][30/78] lr: 4.2636e+00 eta: 8:47:45 time: 8.1231 data_time: 0.0058 memory: 41551 loss: 1.1754 +2024/02/13 06:24:11 - mmengine - INFO - Epoch(train) [42][40/78] lr: 4.2484e+00 eta: 8:46:19 time: 8.1479 data_time: 0.0084 memory: 41551 loss: 1.1859 +2024/02/13 06:25:33 - mmengine - INFO - Epoch(train) [42][50/78] lr: 4.2332e+00 eta: 8:44:54 time: 8.1490 data_time: 0.0074 memory: 41551 loss: 1.1681 +2024/02/13 06:26:54 - mmengine - INFO - Epoch(train) [42][60/78] lr: 4.2179e+00 eta: 8:43:28 time: 8.1372 data_time: 0.0062 memory: 41551 loss: 1.1964 +2024/02/13 06:28:16 - mmengine - INFO - Epoch(train) [42][70/78] lr: 4.2026e+00 eta: 8:42:02 time: 8.1481 data_time: 0.0060 memory: 41551 loss: 1.1877 +2024/02/13 06:29:21 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 06:29:21 - mmengine - INFO - Saving checkpoint at 42 epochs +2024/02/13 06:29:55 - mmengine - INFO - Epoch(val) [42][ 10/196] eta: 0:02:12 time: 0.7141 data_time: 0.0248 memory: 41551 +2024/02/13 06:30:02 - mmengine - INFO - Epoch(val) [42][ 20/196] eta: 0:02:03 time: 0.6891 data_time: 0.0019 memory: 4673 +2024/02/13 06:30:09 - mmengine - INFO - Epoch(val) [42][ 30/196] eta: 0:01:55 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 06:30:16 - mmengine - INFO - Epoch(val) [42][ 40/196] eta: 0:01:48 time: 0.6872 data_time: 0.0009 memory: 4673 +2024/02/13 06:30:23 - mmengine - INFO - Epoch(val) [42][ 50/196] eta: 0:01:41 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 06:30:30 - mmengine - INFO - Epoch(val) [42][ 60/196] eta: 0:01:34 time: 0.6882 data_time: 0.0018 memory: 4673 +2024/02/13 06:30:37 - mmengine - INFO - Epoch(val) [42][ 70/196] eta: 0:01:27 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 06:30:43 - mmengine - INFO - Epoch(val) [42][ 80/196] eta: 0:01:20 time: 0.6886 data_time: 0.0009 memory: 4673 +2024/02/13 06:30:50 - mmengine - INFO - Epoch(val) [42][ 90/196] eta: 0:01:13 time: 0.6890 data_time: 0.0008 memory: 4673 +2024/02/13 06:30:57 - mmengine - INFO - Epoch(val) [42][100/196] eta: 0:01:06 time: 0.6887 data_time: 0.0011 memory: 4673 +2024/02/13 06:31:04 - mmengine - INFO - Epoch(val) [42][110/196] eta: 0:00:59 time: 0.6882 data_time: 0.0006 memory: 4673 +2024/02/13 06:31:11 - mmengine - INFO - Epoch(val) [42][120/196] eta: 0:00:52 time: 0.6890 data_time: 0.0009 memory: 4673 +2024/02/13 06:31:18 - mmengine - INFO - Epoch(val) [42][130/196] eta: 0:00:45 time: 0.6889 data_time: 0.0009 memory: 4673 +2024/02/13 06:31:25 - mmengine - INFO - Epoch(val) [42][140/196] eta: 0:00:38 time: 0.6887 data_time: 0.0009 memory: 4673 +2024/02/13 06:31:32 - mmengine - INFO - Epoch(val) [42][150/196] eta: 0:00:31 time: 0.6893 data_time: 0.0010 memory: 4673 +2024/02/13 06:31:39 - mmengine - INFO - Epoch(val) [42][160/196] eta: 0:00:24 time: 0.6899 data_time: 0.0018 memory: 4673 +2024/02/13 06:31:45 - mmengine - INFO - Epoch(val) [42][170/196] eta: 0:00:17 time: 0.6889 data_time: 0.0009 memory: 4673 +2024/02/13 06:31:52 - mmengine - INFO - Epoch(val) [42][180/196] eta: 0:00:11 time: 0.6895 data_time: 0.0011 memory: 4673 +2024/02/13 06:31:59 - mmengine - INFO - Epoch(val) [42][190/196] eta: 0:00:04 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 06:32:14 - mmengine - INFO - Epoch(val) [42][196/196] accuracy/top1: 75.0080 accuracy/top5: 91.7080 data_time: 0.0022 time: 0.6851 +2024/02/13 06:33:47 - mmengine - INFO - Epoch(train) [43][10/78] lr: 4.1751e+00 eta: 8:39:41 time: 9.3915 data_time: 1.2543 memory: 41551 loss: 1.1184 +2024/02/13 06:35:09 - mmengine - INFO - Epoch(train) [43][20/78] lr: 4.1597e+00 eta: 8:38:15 time: 8.1303 data_time: 0.0049 memory: 41551 loss: 1.1249 +2024/02/13 06:36:30 - mmengine - INFO - Epoch(train) [43][30/78] lr: 4.1443e+00 eta: 8:36:50 time: 8.1446 data_time: 0.0055 memory: 41551 loss: 1.1631 +2024/02/13 06:37:52 - mmengine - INFO - Epoch(train) [43][40/78] lr: 4.1289e+00 eta: 8:35:24 time: 8.1507 data_time: 0.0057 memory: 41551 loss: 1.1601 +2024/02/13 06:39:13 - mmengine - INFO - Epoch(train) [43][50/78] lr: 4.1135e+00 eta: 8:33:58 time: 8.1368 data_time: 0.0059 memory: 41551 loss: 1.1952 +2024/02/13 06:40:35 - mmengine - INFO - Epoch(train) [43][60/78] lr: 4.0980e+00 eta: 8:32:32 time: 8.1455 data_time: 0.0066 memory: 41551 loss: 1.1643 +2024/02/13 06:41:56 - mmengine - INFO - Epoch(train) [43][70/78] lr: 4.0826e+00 eta: 8:31:07 time: 8.1432 data_time: 0.0063 memory: 41551 loss: 1.1946 +2024/02/13 06:43:01 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 06:43:01 - mmengine - INFO - Saving checkpoint at 43 epochs +2024/02/13 06:43:37 - mmengine - INFO - Epoch(val) [43][ 10/196] eta: 0:02:12 time: 0.7149 data_time: 0.0238 memory: 41551 +2024/02/13 06:43:44 - mmengine - INFO - Epoch(val) [43][ 20/196] eta: 0:02:03 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 06:43:50 - mmengine - INFO - Epoch(val) [43][ 30/196] eta: 0:01:55 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 06:43:57 - mmengine - INFO - Epoch(val) [43][ 40/196] eta: 0:01:48 time: 0.6882 data_time: 0.0009 memory: 4673 +2024/02/13 06:44:04 - mmengine - INFO - Epoch(val) [43][ 50/196] eta: 0:01:41 time: 0.6876 data_time: 0.0004 memory: 4673 +2024/02/13 06:44:11 - mmengine - INFO - Epoch(val) [43][ 60/196] eta: 0:01:34 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 06:44:18 - mmengine - INFO - Epoch(val) [43][ 70/196] eta: 0:01:27 time: 0.6874 data_time: 0.0004 memory: 4673 +2024/02/13 06:44:25 - mmengine - INFO - Epoch(val) [43][ 80/196] eta: 0:01:20 time: 0.6883 data_time: 0.0009 memory: 4673 +2024/02/13 06:44:32 - mmengine - INFO - Epoch(val) [43][ 90/196] eta: 0:01:13 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 06:44:39 - mmengine - INFO - Epoch(val) [43][100/196] eta: 0:01:06 time: 0.6883 data_time: 0.0010 memory: 4673 +2024/02/13 06:44:46 - mmengine - INFO - Epoch(val) [43][110/196] eta: 0:00:59 time: 0.7046 data_time: 0.0005 memory: 4673 +2024/02/13 06:44:53 - mmengine - INFO - Epoch(val) [43][120/196] eta: 0:00:52 time: 0.6897 data_time: 0.0017 memory: 4673 +2024/02/13 06:44:59 - mmengine - INFO - Epoch(val) [43][130/196] eta: 0:00:45 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 06:45:06 - mmengine - INFO - Epoch(val) [43][140/196] eta: 0:00:38 time: 0.6878 data_time: 0.0008 memory: 4673 +2024/02/13 06:45:13 - mmengine - INFO - Epoch(val) [43][150/196] eta: 0:00:31 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 06:45:20 - mmengine - INFO - Epoch(val) [43][160/196] eta: 0:00:24 time: 0.6884 data_time: 0.0008 memory: 4673 +2024/02/13 06:45:27 - mmengine - INFO - Epoch(val) [43][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0004 memory: 4673 +2024/02/13 06:45:34 - mmengine - INFO - Epoch(val) [43][180/196] eta: 0:00:11 time: 0.6878 data_time: 0.0008 memory: 4673 +2024/02/13 06:45:41 - mmengine - INFO - Epoch(val) [43][190/196] eta: 0:00:04 time: 0.6868 data_time: 0.0004 memory: 4673 +2024/02/13 06:45:55 - mmengine - INFO - Epoch(val) [43][196/196] accuracy/top1: 75.1380 accuracy/top5: 91.5360 data_time: 0.0019 time: 0.6854 +2024/02/13 06:47:29 - mmengine - INFO - Epoch(train) [44][10/78] lr: 4.0546e+00 eta: 8:28:46 time: 9.3736 data_time: 1.2754 memory: 41551 loss: 1.1124 +2024/02/13 06:48:50 - mmengine - INFO - Epoch(train) [44][20/78] lr: 4.0391e+00 eta: 8:27:20 time: 8.1210 data_time: 0.0060 memory: 41551 loss: 1.1280 +2024/02/13 06:50:11 - mmengine - INFO - Epoch(train) [44][30/78] lr: 4.0236e+00 eta: 8:25:54 time: 8.1396 data_time: 0.0057 memory: 41551 loss: 1.1490 +2024/02/13 06:51:33 - mmengine - INFO - Epoch(train) [44][40/78] lr: 4.0080e+00 eta: 8:24:28 time: 8.1414 data_time: 0.0073 memory: 41551 loss: 1.1529 +2024/02/13 06:52:54 - mmengine - INFO - Epoch(train) [44][50/78] lr: 3.9924e+00 eta: 8:23:03 time: 8.1529 data_time: 0.0061 memory: 41551 loss: 1.1671 +2024/02/13 06:54:16 - mmengine - INFO - Epoch(train) [44][60/78] lr: 3.9768e+00 eta: 8:21:37 time: 8.1475 data_time: 0.0070 memory: 41551 loss: 1.1813 +2024/02/13 06:55:37 - mmengine - INFO - Epoch(train) [44][70/78] lr: 3.9611e+00 eta: 8:20:12 time: 8.1557 data_time: 0.0066 memory: 41551 loss: 1.1666 +2024/02/13 06:56:42 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 06:56:42 - mmengine - INFO - Saving checkpoint at 44 epochs +2024/02/13 06:57:17 - mmengine - INFO - Epoch(val) [44][ 10/196] eta: 0:02:13 time: 0.7159 data_time: 0.0238 memory: 41551 +2024/02/13 06:57:24 - mmengine - INFO - Epoch(val) [44][ 20/196] eta: 0:02:03 time: 0.6892 data_time: 0.0018 memory: 4673 +2024/02/13 06:57:31 - mmengine - INFO - Epoch(val) [44][ 30/196] eta: 0:01:55 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 06:57:38 - mmengine - INFO - Epoch(val) [44][ 40/196] eta: 0:01:48 time: 0.6890 data_time: 0.0010 memory: 4673 +2024/02/13 06:57:44 - mmengine - INFO - Epoch(val) [44][ 50/196] eta: 0:01:41 time: 0.6879 data_time: 0.0005 memory: 4673 +2024/02/13 06:57:51 - mmengine - INFO - Epoch(val) [44][ 60/196] eta: 0:01:34 time: 0.6885 data_time: 0.0010 memory: 4673 +2024/02/13 06:57:58 - mmengine - INFO - Epoch(val) [44][ 70/196] eta: 0:01:27 time: 0.6881 data_time: 0.0005 memory: 4673 +2024/02/13 06:58:05 - mmengine - INFO - Epoch(val) [44][ 80/196] eta: 0:01:20 time: 0.6886 data_time: 0.0010 memory: 4673 +2024/02/13 06:58:12 - mmengine - INFO - Epoch(val) [44][ 90/196] eta: 0:01:13 time: 0.6884 data_time: 0.0008 memory: 4673 +2024/02/13 06:58:19 - mmengine - INFO - Epoch(val) [44][100/196] eta: 0:01:06 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/13 06:58:26 - mmengine - INFO - Epoch(val) [44][110/196] eta: 0:00:59 time: 0.6887 data_time: 0.0008 memory: 4673 +2024/02/13 06:58:33 - mmengine - INFO - Epoch(val) [44][120/196] eta: 0:00:52 time: 0.6883 data_time: 0.0008 memory: 4673 +2024/02/13 06:58:39 - mmengine - INFO - Epoch(val) [44][130/196] eta: 0:00:45 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 06:58:46 - mmengine - INFO - Epoch(val) [44][140/196] eta: 0:00:38 time: 0.6882 data_time: 0.0012 memory: 4673 +2024/02/13 06:58:53 - mmengine - INFO - Epoch(val) [44][150/196] eta: 0:00:31 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 06:59:00 - mmengine - INFO - Epoch(val) [44][160/196] eta: 0:00:24 time: 0.6886 data_time: 0.0009 memory: 4673 +2024/02/13 06:59:07 - mmengine - INFO - Epoch(val) [44][170/196] eta: 0:00:17 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 06:59:14 - mmengine - INFO - Epoch(val) [44][180/196] eta: 0:00:11 time: 0.6883 data_time: 0.0008 memory: 4673 +2024/02/13 06:59:21 - mmengine - INFO - Epoch(val) [44][190/196] eta: 0:00:04 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 06:59:35 - mmengine - INFO - Epoch(val) [44][196/196] accuracy/top1: 74.8860 accuracy/top5: 91.6380 data_time: 0.0020 time: 0.6850 +2024/02/13 07:01:10 - mmengine - INFO - Epoch(train) [45][10/78] lr: 3.9329e+00 eta: 8:17:51 time: 9.4122 data_time: 1.2898 memory: 41551 loss: 1.1121 +2024/02/13 07:02:31 - mmengine - INFO - Epoch(train) [45][20/78] lr: 3.9172e+00 eta: 8:16:25 time: 8.1231 data_time: 0.0057 memory: 41551 loss: 1.1616 +2024/02/13 07:03:52 - mmengine - INFO - Epoch(train) [45][30/78] lr: 3.9015e+00 eta: 8:14:59 time: 8.1418 data_time: 0.0067 memory: 41551 loss: 1.1532 +2024/02/13 07:05:14 - mmengine - INFO - Epoch(train) [45][40/78] lr: 3.8858e+00 eta: 8:13:34 time: 8.1459 data_time: 0.0075 memory: 41551 loss: 1.1464 +2024/02/13 07:06:35 - mmengine - INFO - Epoch(train) [45][50/78] lr: 3.8700e+00 eta: 8:12:08 time: 8.1415 data_time: 0.0054 memory: 41551 loss: 1.1449 +2024/02/13 07:07:57 - mmengine - INFO - Epoch(train) [45][60/78] lr: 3.8543e+00 eta: 8:10:43 time: 8.1463 data_time: 0.0042 memory: 41551 loss: 1.1734 +2024/02/13 07:09:18 - mmengine - INFO - Epoch(train) [45][70/78] lr: 3.8385e+00 eta: 8:09:17 time: 8.1457 data_time: 0.0057 memory: 41551 loss: 1.1866 +2024/02/13 07:10:23 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 07:10:23 - mmengine - INFO - Saving checkpoint at 45 epochs +2024/02/13 07:10:52 - mmengine - INFO - Epoch(val) [45][ 10/196] eta: 0:02:12 time: 0.7134 data_time: 0.0242 memory: 41551 +2024/02/13 07:10:59 - mmengine - INFO - Epoch(val) [45][ 20/196] eta: 0:02:03 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 07:11:06 - mmengine - INFO - Epoch(val) [45][ 30/196] eta: 0:01:55 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 07:11:13 - mmengine - INFO - Epoch(val) [45][ 40/196] eta: 0:01:48 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 07:11:20 - mmengine - INFO - Epoch(val) [45][ 50/196] eta: 0:01:41 time: 0.6885 data_time: 0.0013 memory: 4673 +2024/02/13 07:11:26 - mmengine - INFO - Epoch(val) [45][ 60/196] eta: 0:01:34 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 07:11:33 - mmengine - INFO - Epoch(val) [45][ 70/196] eta: 0:01:27 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 07:11:40 - mmengine - INFO - Epoch(val) [45][ 80/196] eta: 0:01:20 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 07:11:47 - mmengine - INFO - Epoch(val) [45][ 90/196] eta: 0:01:13 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 07:11:54 - mmengine - INFO - Epoch(val) [45][100/196] eta: 0:01:06 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 07:12:01 - mmengine - INFO - Epoch(val) [45][110/196] eta: 0:00:59 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 07:12:08 - mmengine - INFO - Epoch(val) [45][120/196] eta: 0:00:52 time: 0.6887 data_time: 0.0007 memory: 4673 +2024/02/13 07:12:15 - mmengine - INFO - Epoch(val) [45][130/196] eta: 0:00:45 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 07:12:21 - mmengine - INFO - Epoch(val) [45][140/196] eta: 0:00:38 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 07:12:28 - mmengine - INFO - Epoch(val) [45][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 07:12:35 - mmengine - INFO - Epoch(val) [45][160/196] eta: 0:00:24 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 07:12:42 - mmengine - INFO - Epoch(val) [45][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 07:12:49 - mmengine - INFO - Epoch(val) [45][180/196] eta: 0:00:11 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 07:12:56 - mmengine - INFO - Epoch(val) [45][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 07:13:10 - mmengine - INFO - Epoch(val) [45][196/196] accuracy/top1: 75.1540 accuracy/top5: 91.7200 data_time: 0.0019 time: 0.6845 +2024/02/13 07:14:45 - mmengine - INFO - Epoch(train) [46][10/78] lr: 3.8101e+00 eta: 8:06:56 time: 9.4631 data_time: 1.2767 memory: 41551 loss: 1.1148 +2024/02/13 07:16:06 - mmengine - INFO - Epoch(train) [46][20/78] lr: 3.7942e+00 eta: 8:05:31 time: 8.1341 data_time: 0.0075 memory: 41551 loss: 1.1366 +2024/02/13 07:17:27 - mmengine - INFO - Epoch(train) [46][30/78] lr: 3.7784e+00 eta: 8:04:05 time: 8.1484 data_time: 0.0066 memory: 41551 loss: 1.1363 +2024/02/13 07:18:49 - mmengine - INFO - Epoch(train) [46][40/78] lr: 3.7625e+00 eta: 8:02:40 time: 8.1480 data_time: 0.0063 memory: 41551 loss: 1.1559 +2024/02/13 07:20:10 - mmengine - INFO - Epoch(train) [46][50/78] lr: 3.7467e+00 eta: 8:01:15 time: 8.1314 data_time: 0.0062 memory: 41551 loss: 1.1238 +2024/02/13 07:21:32 - mmengine - INFO - Epoch(train) [46][60/78] lr: 3.7308e+00 eta: 7:59:49 time: 8.1446 data_time: 0.0063 memory: 41551 loss: 1.1568 +2024/02/13 07:22:53 - mmengine - INFO - Epoch(train) [46][70/78] lr: 3.7149e+00 eta: 7:58:24 time: 8.1398 data_time: 0.0058 memory: 41551 loss: 1.1654 +2024/02/13 07:23:58 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 07:23:58 - mmengine - INFO - Saving checkpoint at 46 epochs +2024/02/13 07:24:33 - mmengine - INFO - Epoch(val) [46][ 10/196] eta: 0:02:12 time: 0.7127 data_time: 0.0230 memory: 41551 +2024/02/13 07:24:40 - mmengine - INFO - Epoch(val) [46][ 20/196] eta: 0:02:03 time: 0.6887 data_time: 0.0019 memory: 4673 +2024/02/13 07:24:47 - mmengine - INFO - Epoch(val) [46][ 30/196] eta: 0:01:55 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 07:24:54 - mmengine - INFO - Epoch(val) [46][ 40/196] eta: 0:01:48 time: 0.6890 data_time: 0.0019 memory: 4673 +2024/02/13 07:25:01 - mmengine - INFO - Epoch(val) [46][ 50/196] eta: 0:01:41 time: 0.6896 data_time: 0.0008 memory: 4673 +2024/02/13 07:25:08 - mmengine - INFO - Epoch(val) [46][ 60/196] eta: 0:01:34 time: 0.6895 data_time: 0.0011 memory: 4673 +2024/02/13 07:25:15 - mmengine - INFO - Epoch(val) [46][ 70/196] eta: 0:01:27 time: 0.6892 data_time: 0.0009 memory: 4673 +2024/02/13 07:25:22 - mmengine - INFO - Epoch(val) [46][ 80/196] eta: 0:01:20 time: 0.6895 data_time: 0.0019 memory: 4673 +2024/02/13 07:25:29 - mmengine - INFO - Epoch(val) [46][ 90/196] eta: 0:01:13 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 07:25:35 - mmengine - INFO - Epoch(val) [46][100/196] eta: 0:01:06 time: 0.6885 data_time: 0.0011 memory: 4673 +2024/02/13 07:25:42 - mmengine - INFO - Epoch(val) [46][110/196] eta: 0:00:59 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 07:25:49 - mmengine - INFO - Epoch(val) [46][120/196] eta: 0:00:52 time: 0.6880 data_time: 0.0010 memory: 4673 +2024/02/13 07:25:56 - mmengine - INFO - Epoch(val) [46][130/196] eta: 0:00:45 time: 0.6882 data_time: 0.0006 memory: 4673 +2024/02/13 07:26:03 - mmengine - INFO - Epoch(val) [46][140/196] eta: 0:00:38 time: 0.6887 data_time: 0.0010 memory: 4673 +2024/02/13 07:26:10 - mmengine - INFO - Epoch(val) [46][150/196] eta: 0:00:31 time: 0.6879 data_time: 0.0005 memory: 4673 +2024/02/13 07:26:17 - mmengine - INFO - Epoch(val) [46][160/196] eta: 0:00:24 time: 0.6883 data_time: 0.0009 memory: 4673 +2024/02/13 07:26:24 - mmengine - INFO - Epoch(val) [46][170/196] eta: 0:00:17 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 07:26:31 - mmengine - INFO - Epoch(val) [46][180/196] eta: 0:00:11 time: 0.6891 data_time: 0.0016 memory: 4673 +2024/02/13 07:26:37 - mmengine - INFO - Epoch(val) [46][190/196] eta: 0:00:04 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 07:26:52 - mmengine - INFO - Epoch(val) [46][196/196] accuracy/top1: 75.0860 accuracy/top5: 91.7680 data_time: 0.0021 time: 0.6851 +2024/02/13 07:28:31 - mmengine - INFO - Epoch(train) [47][10/78] lr: 3.6863e+00 eta: 7:56:07 time: 9.9077 data_time: 1.3090 memory: 41551 loss: 1.1237 +2024/02/13 07:29:52 - mmengine - INFO - Epoch(train) [47][20/78] lr: 3.6703e+00 eta: 7:54:41 time: 8.1414 data_time: 0.0063 memory: 41551 loss: 1.1180 +2024/02/13 07:31:13 - mmengine - INFO - Epoch(train) [47][30/78] lr: 3.6544e+00 eta: 7:53:16 time: 8.1347 data_time: 0.0055 memory: 41551 loss: 1.1180 +2024/02/13 07:32:35 - mmengine - INFO - Epoch(train) [47][40/78] lr: 3.6384e+00 eta: 7:51:50 time: 8.1397 data_time: 0.0057 memory: 41551 loss: 1.1024 +2024/02/13 07:33:56 - mmengine - INFO - Epoch(train) [47][50/78] lr: 3.6225e+00 eta: 7:50:25 time: 8.1432 data_time: 0.0062 memory: 41551 loss: 1.1298 +2024/02/13 07:35:18 - mmengine - INFO - Epoch(train) [47][60/78] lr: 3.6065e+00 eta: 7:49:00 time: 8.1430 data_time: 0.0061 memory: 41551 loss: 1.1344 +2024/02/13 07:36:39 - mmengine - INFO - Epoch(train) [47][70/78] lr: 3.5905e+00 eta: 7:47:34 time: 8.1417 data_time: 0.0079 memory: 41551 loss: 1.1350 +2024/02/13 07:37:44 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 07:37:44 - mmengine - INFO - Saving checkpoint at 47 epochs +2024/02/13 07:38:18 - mmengine - INFO - Epoch(val) [47][ 10/196] eta: 0:02:12 time: 0.7138 data_time: 0.0227 memory: 41551 +2024/02/13 07:38:25 - mmengine - INFO - Epoch(val) [47][ 20/196] eta: 0:02:03 time: 0.6874 data_time: 0.0009 memory: 4673 +2024/02/13 07:38:32 - mmengine - INFO - Epoch(val) [47][ 30/196] eta: 0:01:55 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 07:38:39 - mmengine - INFO - Epoch(val) [47][ 40/196] eta: 0:01:48 time: 0.6893 data_time: 0.0012 memory: 4673 +2024/02/13 07:38:46 - mmengine - INFO - Epoch(val) [47][ 50/196] eta: 0:01:41 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 07:38:53 - mmengine - INFO - Epoch(val) [47][ 60/196] eta: 0:01:34 time: 0.6885 data_time: 0.0010 memory: 4673 +2024/02/13 07:38:59 - mmengine - INFO - Epoch(val) [47][ 70/196] eta: 0:01:27 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 07:39:06 - mmengine - INFO - Epoch(val) [47][ 80/196] eta: 0:01:20 time: 0.6882 data_time: 0.0010 memory: 4673 +2024/02/13 07:39:13 - mmengine - INFO - Epoch(val) [47][ 90/196] eta: 0:01:13 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 07:39:20 - mmengine - INFO - Epoch(val) [47][100/196] eta: 0:01:06 time: 0.6883 data_time: 0.0010 memory: 4673 +2024/02/13 07:39:27 - mmengine - INFO - Epoch(val) [47][110/196] eta: 0:00:59 time: 0.6880 data_time: 0.0005 memory: 4673 +2024/02/13 07:39:34 - mmengine - INFO - Epoch(val) [47][120/196] eta: 0:00:52 time: 0.6883 data_time: 0.0009 memory: 4673 +2024/02/13 07:39:41 - mmengine - INFO - Epoch(val) [47][130/196] eta: 0:00:45 time: 0.6879 data_time: 0.0005 memory: 4673 +2024/02/13 07:39:48 - mmengine - INFO - Epoch(val) [47][140/196] eta: 0:00:38 time: 0.6890 data_time: 0.0018 memory: 4673 +2024/02/13 07:39:55 - mmengine - INFO - Epoch(val) [47][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 07:40:01 - mmengine - INFO - Epoch(val) [47][160/196] eta: 0:00:24 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/13 07:40:08 - mmengine - INFO - Epoch(val) [47][170/196] eta: 0:00:17 time: 0.6875 data_time: 0.0004 memory: 4673 +2024/02/13 07:40:15 - mmengine - INFO - Epoch(val) [47][180/196] eta: 0:00:11 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/13 07:40:22 - mmengine - INFO - Epoch(val) [47][190/196] eta: 0:00:04 time: 0.6873 data_time: 0.0004 memory: 4673 +2024/02/13 07:40:35 - mmengine - INFO - Epoch(val) [47][196/196] accuracy/top1: 75.1860 accuracy/top5: 91.7260 data_time: 0.0019 time: 0.6847 +2024/02/13 07:42:15 - mmengine - INFO - Epoch(train) [48][10/78] lr: 3.5617e+00 eta: 7:45:17 time: 9.9733 data_time: 1.3205 memory: 41551 loss: 1.0865 +2024/02/13 07:43:36 - mmengine - INFO - Epoch(train) [48][20/78] lr: 3.5457e+00 eta: 7:43:52 time: 8.1210 data_time: 0.0056 memory: 41551 loss: 1.1255 +2024/02/13 07:44:57 - mmengine - INFO - Epoch(train) [48][30/78] lr: 3.5297e+00 eta: 7:42:26 time: 8.1286 data_time: 0.0053 memory: 41551 loss: 1.1229 +2024/02/13 07:46:19 - mmengine - INFO - Epoch(train) [48][40/78] lr: 3.5137e+00 eta: 7:41:01 time: 8.1512 data_time: 0.0041 memory: 41551 loss: 1.1370 +2024/02/13 07:47:40 - mmengine - INFO - Epoch(train) [48][50/78] lr: 3.4976e+00 eta: 7:39:36 time: 8.1484 data_time: 0.0046 memory: 41551 loss: 1.1480 +2024/02/13 07:49:02 - mmengine - INFO - Epoch(train) [48][60/78] lr: 3.4816e+00 eta: 7:38:11 time: 8.1399 data_time: 0.0041 memory: 41551 loss: 1.1529 +2024/02/13 07:50:23 - mmengine - INFO - Epoch(train) [48][70/78] lr: 3.4655e+00 eta: 7:36:45 time: 8.1439 data_time: 0.0060 memory: 41551 loss: 1.1429 +2024/02/13 07:51:28 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 07:51:28 - mmengine - INFO - Saving checkpoint at 48 epochs +2024/02/13 07:51:57 - mmengine - INFO - Epoch(val) [48][ 10/196] eta: 0:02:12 time: 0.7123 data_time: 0.0218 memory: 41551 +2024/02/13 07:52:04 - mmengine - INFO - Epoch(val) [48][ 20/196] eta: 0:02:03 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 07:52:11 - mmengine - INFO - Epoch(val) [48][ 30/196] eta: 0:01:55 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 07:52:18 - mmengine - INFO - Epoch(val) [48][ 40/196] eta: 0:01:48 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/13 07:52:25 - mmengine - INFO - Epoch(val) [48][ 50/196] eta: 0:01:41 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 07:52:32 - mmengine - INFO - Epoch(val) [48][ 60/196] eta: 0:01:34 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 07:52:39 - mmengine - INFO - Epoch(val) [48][ 70/196] eta: 0:01:27 time: 0.6889 data_time: 0.0016 memory: 4673 +2024/02/13 07:52:46 - mmengine - INFO - Epoch(val) [48][ 80/196] eta: 0:01:20 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 07:52:52 - mmengine - INFO - Epoch(val) [48][ 90/196] eta: 0:01:13 time: 0.6870 data_time: 0.0005 memory: 4673 +2024/02/13 07:52:59 - mmengine - INFO - Epoch(val) [48][100/196] eta: 0:01:06 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 07:53:06 - mmengine - INFO - Epoch(val) [48][110/196] eta: 0:00:59 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 07:53:13 - mmengine - INFO - Epoch(val) [48][120/196] eta: 0:00:52 time: 0.6873 data_time: 0.0008 memory: 4673 +2024/02/13 07:53:20 - mmengine - INFO - Epoch(val) [48][130/196] eta: 0:00:45 time: 0.6871 data_time: 0.0005 memory: 4673 +2024/02/13 07:53:27 - mmengine - INFO - Epoch(val) [48][140/196] eta: 0:00:38 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/13 07:53:34 - mmengine - INFO - Epoch(val) [48][150/196] eta: 0:00:31 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/13 07:53:41 - mmengine - INFO - Epoch(val) [48][160/196] eta: 0:00:24 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 07:53:47 - mmengine - INFO - Epoch(val) [48][170/196] eta: 0:00:17 time: 0.6882 data_time: 0.0014 memory: 4673 +2024/02/13 07:53:54 - mmengine - INFO - Epoch(val) [48][180/196] eta: 0:00:11 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 07:54:01 - mmengine - INFO - Epoch(val) [48][190/196] eta: 0:00:04 time: 0.6871 data_time: 0.0005 memory: 4673 +2024/02/13 07:54:14 - mmengine - INFO - Epoch(val) [48][196/196] accuracy/top1: 75.1320 accuracy/top5: 91.7660 data_time: 0.0018 time: 0.6842 +2024/02/13 07:55:55 - mmengine - INFO - Epoch(train) [49][10/78] lr: 3.4366e+00 eta: 7:34:29 time: 10.0505 data_time: 1.2813 memory: 41551 loss: 1.1074 +2024/02/13 07:57:16 - mmengine - INFO - Epoch(train) [49][20/78] lr: 3.4205e+00 eta: 7:33:03 time: 8.1526 data_time: 0.0044 memory: 41551 loss: 1.1069 +2024/02/13 07:58:38 - mmengine - INFO - Epoch(train) [49][30/78] lr: 3.4045e+00 eta: 7:31:38 time: 8.1368 data_time: 0.0049 memory: 41551 loss: 1.1429 +2024/02/13 07:59:59 - mmengine - INFO - Epoch(train) [49][40/78] lr: 3.3884e+00 eta: 7:30:13 time: 8.1320 data_time: 0.0042 memory: 41551 loss: 1.1740 +2024/02/13 08:01:21 - mmengine - INFO - Epoch(train) [49][50/78] lr: 3.3723e+00 eta: 7:28:48 time: 8.1528 data_time: 0.0048 memory: 41551 loss: 1.1287 +2024/02/13 08:02:42 - mmengine - INFO - Epoch(train) [49][60/78] lr: 3.3562e+00 eta: 7:27:22 time: 8.1538 data_time: 0.0048 memory: 41551 loss: 1.1276 +2024/02/13 08:04:04 - mmengine - INFO - Epoch(train) [49][70/78] lr: 3.3401e+00 eta: 7:25:57 time: 8.1537 data_time: 0.0052 memory: 41551 loss: 1.1401 +2024/02/13 08:05:09 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 08:05:09 - mmengine - INFO - Saving checkpoint at 49 epochs +2024/02/13 08:05:37 - mmengine - INFO - Epoch(val) [49][ 10/196] eta: 0:02:13 time: 0.7161 data_time: 0.0240 memory: 41551 +2024/02/13 08:05:44 - mmengine - INFO - Epoch(val) [49][ 20/196] eta: 0:02:03 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 08:05:51 - mmengine - INFO - Epoch(val) [49][ 30/196] eta: 0:01:55 time: 0.6878 data_time: 0.0015 memory: 4673 +2024/02/13 08:05:58 - mmengine - INFO - Epoch(val) [49][ 40/196] eta: 0:01:48 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 08:06:05 - mmengine - INFO - Epoch(val) [49][ 50/196] eta: 0:01:41 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 08:06:12 - mmengine - INFO - Epoch(val) [49][ 60/196] eta: 0:01:34 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 08:06:19 - mmengine - INFO - Epoch(val) [49][ 70/196] eta: 0:01:27 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 08:06:25 - mmengine - INFO - Epoch(val) [49][ 80/196] eta: 0:01:20 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/13 08:06:32 - mmengine - INFO - Epoch(val) [49][ 90/196] eta: 0:01:13 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 08:06:39 - mmengine - INFO - Epoch(val) [49][100/196] eta: 0:01:06 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 08:06:46 - mmengine - INFO - Epoch(val) [49][110/196] eta: 0:00:59 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 08:06:53 - mmengine - INFO - Epoch(val) [49][120/196] eta: 0:00:52 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 08:07:00 - mmengine - INFO - Epoch(val) [49][130/196] eta: 0:00:45 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 08:07:07 - mmengine - INFO - Epoch(val) [49][140/196] eta: 0:00:38 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 08:07:14 - mmengine - INFO - Epoch(val) [49][150/196] eta: 0:00:31 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 08:07:20 - mmengine - INFO - Epoch(val) [49][160/196] eta: 0:00:24 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 08:07:27 - mmengine - INFO - Epoch(val) [49][170/196] eta: 0:00:17 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 08:07:34 - mmengine - INFO - Epoch(val) [49][180/196] eta: 0:00:11 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 08:07:41 - mmengine - INFO - Epoch(val) [49][190/196] eta: 0:00:04 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/13 08:07:54 - mmengine - INFO - Epoch(val) [49][196/196] accuracy/top1: 75.1000 accuracy/top5: 91.7840 data_time: 0.0019 time: 0.6843 +2024/02/13 08:09:34 - mmengine - INFO - Epoch(train) [50][10/78] lr: 3.3111e+00 eta: 7:23:39 time: 9.9988 data_time: 1.8893 memory: 41551 loss: 1.0884 +2024/02/13 08:10:55 - mmengine - INFO - Epoch(train) [50][20/78] lr: 3.2950e+00 eta: 7:22:14 time: 8.1402 data_time: 0.0043 memory: 41551 loss: 1.1029 +2024/02/13 08:12:17 - mmengine - INFO - Epoch(train) [50][30/78] lr: 3.2789e+00 eta: 7:20:49 time: 8.1405 data_time: 0.0043 memory: 41551 loss: 1.1155 +2024/02/13 08:13:38 - mmengine - INFO - Epoch(train) [50][40/78] lr: 3.2628e+00 eta: 7:19:24 time: 8.1429 data_time: 0.0055 memory: 41551 loss: 1.1138 +2024/02/13 08:15:00 - mmengine - INFO - Epoch(train) [50][50/78] lr: 3.2467e+00 eta: 7:17:59 time: 8.1459 data_time: 0.0045 memory: 41551 loss: 1.1253 +2024/02/13 08:16:21 - mmengine - INFO - Epoch(train) [50][60/78] lr: 3.2306e+00 eta: 7:16:34 time: 8.1444 data_time: 0.0042 memory: 41551 loss: 1.1155 +2024/02/13 08:17:43 - mmengine - INFO - Epoch(train) [50][70/78] lr: 3.2145e+00 eta: 7:15:08 time: 8.1391 data_time: 0.0042 memory: 41551 loss: 1.1291 +2024/02/13 08:18:48 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 08:18:48 - mmengine - INFO - Saving checkpoint at 50 epochs +2024/02/13 08:19:17 - mmengine - INFO - Epoch(val) [50][ 10/196] eta: 0:02:12 time: 0.7123 data_time: 0.0217 memory: 41551 +2024/02/13 08:19:24 - mmengine - INFO - Epoch(val) [50][ 20/196] eta: 0:02:03 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 08:19:30 - mmengine - INFO - Epoch(val) [50][ 30/196] eta: 0:01:55 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 08:19:37 - mmengine - INFO - Epoch(val) [50][ 40/196] eta: 0:01:48 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 08:19:44 - mmengine - INFO - Epoch(val) [50][ 50/196] eta: 0:01:41 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 08:19:51 - mmengine - INFO - Epoch(val) [50][ 60/196] eta: 0:01:34 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 08:19:58 - mmengine - INFO - Epoch(val) [50][ 70/196] eta: 0:01:27 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 08:20:05 - mmengine - INFO - Epoch(val) [50][ 80/196] eta: 0:01:20 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 08:20:12 - mmengine - INFO - Epoch(val) [50][ 90/196] eta: 0:01:13 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 08:20:19 - mmengine - INFO - Epoch(val) [50][100/196] eta: 0:01:06 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 08:20:25 - mmengine - INFO - Epoch(val) [50][110/196] eta: 0:00:59 time: 0.6871 data_time: 0.0005 memory: 4673 +2024/02/13 08:20:32 - mmengine - INFO - Epoch(val) [50][120/196] eta: 0:00:52 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 08:20:39 - mmengine - INFO - Epoch(val) [50][130/196] eta: 0:00:45 time: 0.6870 data_time: 0.0005 memory: 4673 +2024/02/13 08:20:46 - mmengine - INFO - Epoch(val) [50][140/196] eta: 0:00:38 time: 0.6880 data_time: 0.0013 memory: 4673 +2024/02/13 08:20:53 - mmengine - INFO - Epoch(val) [50][150/196] eta: 0:00:31 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 08:21:00 - mmengine - INFO - Epoch(val) [50][160/196] eta: 0:00:24 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 08:21:07 - mmengine - INFO - Epoch(val) [50][170/196] eta: 0:00:17 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 08:21:14 - mmengine - INFO - Epoch(val) [50][180/196] eta: 0:00:11 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 08:21:20 - mmengine - INFO - Epoch(val) [50][190/196] eta: 0:00:04 time: 0.6869 data_time: 0.0005 memory: 4673 +2024/02/13 08:21:33 - mmengine - INFO - Epoch(val) [50][196/196] accuracy/top1: 75.3320 accuracy/top5: 91.7240 data_time: 0.0017 time: 0.6841 +2024/02/13 08:23:08 - mmengine - INFO - Epoch(train) [51][10/78] lr: 3.1855e+00 eta: 7:12:46 time: 9.4962 data_time: 1.2683 memory: 41551 loss: 1.0615 +2024/02/13 08:24:30 - mmengine - INFO - Epoch(train) [51][20/78] lr: 3.1694e+00 eta: 7:11:21 time: 8.1419 data_time: 0.0039 memory: 41551 loss: 1.0981 +2024/02/13 08:25:51 - mmengine - INFO - Epoch(train) [51][30/78] lr: 3.1533e+00 eta: 7:09:56 time: 8.1518 data_time: 0.0051 memory: 41551 loss: 1.1066 +2024/02/13 08:27:13 - mmengine - INFO - Epoch(train) [51][40/78] lr: 3.1372e+00 eta: 7:08:31 time: 8.1455 data_time: 0.0053 memory: 41551 loss: 1.0961 +2024/02/13 08:28:34 - mmengine - INFO - Epoch(train) [51][50/78] lr: 3.1211e+00 eta: 7:07:06 time: 8.1414 data_time: 0.0046 memory: 41551 loss: 1.1365 +2024/02/13 08:29:56 - mmengine - INFO - Epoch(train) [51][60/78] lr: 3.1050e+00 eta: 7:05:41 time: 8.1536 data_time: 0.0044 memory: 41551 loss: 1.1322 +2024/02/13 08:31:17 - mmengine - INFO - Epoch(train) [51][70/78] lr: 3.0889e+00 eta: 7:04:16 time: 8.1525 data_time: 0.0052 memory: 41551 loss: 1.0906 +2024/02/13 08:32:22 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 08:32:22 - mmengine - INFO - Saving checkpoint at 51 epochs +2024/02/13 08:32:51 - mmengine - INFO - Epoch(val) [51][ 10/196] eta: 0:02:12 time: 0.7107 data_time: 0.0218 memory: 41551 +2024/02/13 08:32:58 - mmengine - INFO - Epoch(val) [51][ 20/196] eta: 0:02:03 time: 0.6876 data_time: 0.0008 memory: 4673 +2024/02/13 08:33:05 - mmengine - INFO - Epoch(val) [51][ 30/196] eta: 0:01:55 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 08:33:12 - mmengine - INFO - Epoch(val) [51][ 40/196] eta: 0:01:48 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 08:33:19 - mmengine - INFO - Epoch(val) [51][ 50/196] eta: 0:01:41 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 08:33:26 - mmengine - INFO - Epoch(val) [51][ 60/196] eta: 0:01:34 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 08:33:33 - mmengine - INFO - Epoch(val) [51][ 70/196] eta: 0:01:27 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 08:33:39 - mmengine - INFO - Epoch(val) [51][ 80/196] eta: 0:01:20 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 08:33:46 - mmengine - INFO - Epoch(val) [51][ 90/196] eta: 0:01:13 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 08:33:53 - mmengine - INFO - Epoch(val) [51][100/196] eta: 0:01:06 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 08:34:00 - mmengine - INFO - Epoch(val) [51][110/196] eta: 0:00:59 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 08:34:07 - mmengine - INFO - Epoch(val) [51][120/196] eta: 0:00:52 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 08:34:14 - mmengine - INFO - Epoch(val) [51][130/196] eta: 0:00:45 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 08:34:21 - mmengine - INFO - Epoch(val) [51][140/196] eta: 0:00:38 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 08:34:28 - mmengine - INFO - Epoch(val) [51][150/196] eta: 0:00:31 time: 0.6885 data_time: 0.0012 memory: 4673 +2024/02/13 08:34:35 - mmengine - INFO - Epoch(val) [51][160/196] eta: 0:00:24 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 08:34:41 - mmengine - INFO - Epoch(val) [51][170/196] eta: 0:00:17 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 08:34:48 - mmengine - INFO - Epoch(val) [51][180/196] eta: 0:00:11 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 08:34:55 - mmengine - INFO - Epoch(val) [51][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 08:35:08 - mmengine - INFO - Epoch(val) [51][196/196] accuracy/top1: 75.2140 accuracy/top5: 91.9640 data_time: 0.0018 time: 0.6843 +2024/02/13 08:36:43 - mmengine - INFO - Epoch(train) [52][10/78] lr: 3.0599e+00 eta: 7:01:52 time: 9.4343 data_time: 1.2802 memory: 41551 loss: 1.0853 +2024/02/13 08:38:04 - mmengine - INFO - Epoch(train) [52][20/78] lr: 3.0438e+00 eta: 7:00:27 time: 8.1292 data_time: 0.0055 memory: 41551 loss: 1.0919 +2024/02/13 08:38:20 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 08:39:25 - mmengine - INFO - Epoch(train) [52][30/78] lr: 3.0277e+00 eta: 6:59:02 time: 8.1362 data_time: 0.0053 memory: 41551 loss: 1.0805 +2024/02/13 08:40:47 - mmengine - INFO - Epoch(train) [52][40/78] lr: 3.0116e+00 eta: 6:57:37 time: 8.1332 data_time: 0.0041 memory: 41551 loss: 1.0943 +2024/02/13 08:42:08 - mmengine - INFO - Epoch(train) [52][50/78] lr: 2.9955e+00 eta: 6:56:12 time: 8.1440 data_time: 0.0044 memory: 41551 loss: 1.1348 +2024/02/13 08:43:29 - mmengine - INFO - Epoch(train) [52][60/78] lr: 2.9795e+00 eta: 6:54:47 time: 8.1408 data_time: 0.0045 memory: 41551 loss: 1.1171 +2024/02/13 08:44:51 - mmengine - INFO - Epoch(train) [52][70/78] lr: 2.9634e+00 eta: 6:53:22 time: 8.1395 data_time: 0.0042 memory: 41551 loss: 1.1057 +2024/02/13 08:45:56 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 08:45:56 - mmengine - INFO - Saving checkpoint at 52 epochs +2024/02/13 08:46:25 - mmengine - INFO - Epoch(val) [52][ 10/196] eta: 0:02:12 time: 0.7117 data_time: 0.0216 memory: 41551 +2024/02/13 08:46:32 - mmengine - INFO - Epoch(val) [52][ 20/196] eta: 0:02:03 time: 0.6878 data_time: 0.0008 memory: 4673 +2024/02/13 08:46:38 - mmengine - INFO - Epoch(val) [52][ 30/196] eta: 0:01:55 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 08:46:45 - mmengine - INFO - Epoch(val) [52][ 40/196] eta: 0:01:48 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 08:46:52 - mmengine - INFO - Epoch(val) [52][ 50/196] eta: 0:01:41 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 08:46:59 - mmengine - INFO - Epoch(val) [52][ 60/196] eta: 0:01:34 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 08:47:06 - mmengine - INFO - Epoch(val) [52][ 70/196] eta: 0:01:27 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 08:47:13 - mmengine - INFO - Epoch(val) [52][ 80/196] eta: 0:01:20 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 08:47:20 - mmengine - INFO - Epoch(val) [52][ 90/196] eta: 0:01:13 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 08:47:27 - mmengine - INFO - Epoch(val) [52][100/196] eta: 0:01:06 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 08:47:33 - mmengine - INFO - Epoch(val) [52][110/196] eta: 0:00:59 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 08:47:40 - mmengine - INFO - Epoch(val) [52][120/196] eta: 0:00:52 time: 0.6883 data_time: 0.0008 memory: 4673 +2024/02/13 08:47:47 - mmengine - INFO - Epoch(val) [52][130/196] eta: 0:00:45 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 08:47:54 - mmengine - INFO - Epoch(val) [52][140/196] eta: 0:00:38 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 08:48:01 - mmengine - INFO - Epoch(val) [52][150/196] eta: 0:00:31 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 08:48:08 - mmengine - INFO - Epoch(val) [52][160/196] eta: 0:00:24 time: 0.6883 data_time: 0.0009 memory: 4673 +2024/02/13 08:48:15 - mmengine - INFO - Epoch(val) [52][170/196] eta: 0:00:17 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 08:48:22 - mmengine - INFO - Epoch(val) [52][180/196] eta: 0:00:11 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 08:48:28 - mmengine - INFO - Epoch(val) [52][190/196] eta: 0:00:04 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 08:48:41 - mmengine - INFO - Epoch(val) [52][196/196] accuracy/top1: 75.5440 accuracy/top5: 91.8960 data_time: 0.0017 time: 0.6845 +2024/02/13 08:50:21 - mmengine - INFO - Epoch(train) [53][10/78] lr: 2.9345e+00 eta: 6:51:02 time: 9.9435 data_time: 1.2816 memory: 41551 loss: 1.0670 +2024/02/13 08:51:42 - mmengine - INFO - Epoch(train) [53][20/78] lr: 2.9184e+00 eta: 6:49:37 time: 8.1398 data_time: 0.0043 memory: 41551 loss: 1.0713 +2024/02/13 08:53:03 - mmengine - INFO - Epoch(train) [53][30/78] lr: 2.9024e+00 eta: 6:48:12 time: 8.1391 data_time: 0.0042 memory: 41551 loss: 1.0804 +2024/02/13 08:54:25 - mmengine - INFO - Epoch(train) [53][40/78] lr: 2.8863e+00 eta: 6:46:47 time: 8.1399 data_time: 0.0045 memory: 41551 loss: 1.1095 +2024/02/13 08:55:46 - mmengine - INFO - Epoch(train) [53][50/78] lr: 2.8703e+00 eta: 6:45:23 time: 8.1478 data_time: 0.0048 memory: 41551 loss: 1.1025 +2024/02/13 08:57:08 - mmengine - INFO - Epoch(train) [53][60/78] lr: 2.8543e+00 eta: 6:43:58 time: 8.1461 data_time: 0.0050 memory: 41551 loss: 1.0925 +2024/02/13 08:58:29 - mmengine - INFO - Epoch(train) [53][70/78] lr: 2.8383e+00 eta: 6:42:33 time: 8.1496 data_time: 0.0045 memory: 41551 loss: 1.1139 +2024/02/13 08:59:34 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 08:59:34 - mmengine - INFO - Saving checkpoint at 53 epochs +2024/02/13 09:00:03 - mmengine - INFO - Epoch(val) [53][ 10/196] eta: 0:02:12 time: 0.7109 data_time: 0.0220 memory: 41551 +2024/02/13 09:00:10 - mmengine - INFO - Epoch(val) [53][ 20/196] eta: 0:02:02 time: 0.6868 data_time: 0.0006 memory: 4673 +2024/02/13 09:00:16 - mmengine - INFO - Epoch(val) [53][ 30/196] eta: 0:01:55 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 09:00:23 - mmengine - INFO - Epoch(val) [53][ 40/196] eta: 0:01:48 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 09:00:30 - mmengine - INFO - Epoch(val) [53][ 50/196] eta: 0:01:41 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 09:00:37 - mmengine - INFO - Epoch(val) [53][ 60/196] eta: 0:01:34 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 09:00:44 - mmengine - INFO - Epoch(val) [53][ 70/196] eta: 0:01:27 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 09:00:51 - mmengine - INFO - Epoch(val) [53][ 80/196] eta: 0:01:20 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 09:00:58 - mmengine - INFO - Epoch(val) [53][ 90/196] eta: 0:01:13 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 09:01:05 - mmengine - INFO - Epoch(val) [53][100/196] eta: 0:01:06 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 09:01:11 - mmengine - INFO - Epoch(val) [53][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0005 memory: 4673 +2024/02/13 09:01:18 - mmengine - INFO - Epoch(val) [53][120/196] eta: 0:00:52 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 09:01:25 - mmengine - INFO - Epoch(val) [53][130/196] eta: 0:00:45 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 09:01:32 - mmengine - INFO - Epoch(val) [53][140/196] eta: 0:00:38 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 09:01:39 - mmengine - INFO - Epoch(val) [53][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 09:01:46 - mmengine - INFO - Epoch(val) [53][160/196] eta: 0:00:24 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 09:01:53 - mmengine - INFO - Epoch(val) [53][170/196] eta: 0:00:17 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 09:02:00 - mmengine - INFO - Epoch(val) [53][180/196] eta: 0:00:11 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 09:02:06 - mmengine - INFO - Epoch(val) [53][190/196] eta: 0:00:04 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 09:02:19 - mmengine - INFO - Epoch(val) [53][196/196] accuracy/top1: 75.6560 accuracy/top5: 91.9520 data_time: 0.0017 time: 0.6843 +2024/02/13 09:03:54 - mmengine - INFO - Epoch(train) [54][10/78] lr: 2.8095e+00 eta: 6:40:09 time: 9.4658 data_time: 1.3172 memory: 41551 loss: 1.0434 +2024/02/13 09:05:15 - mmengine - INFO - Epoch(train) [54][20/78] lr: 2.7935e+00 eta: 6:38:44 time: 8.1282 data_time: 0.0040 memory: 41551 loss: 1.0857 +2024/02/13 09:06:37 - mmengine - INFO - Epoch(train) [54][30/78] lr: 2.7775e+00 eta: 6:37:19 time: 8.1450 data_time: 0.0040 memory: 41551 loss: 1.0969 +2024/02/13 09:07:58 - mmengine - INFO - Epoch(train) [54][40/78] lr: 2.7616e+00 eta: 6:35:55 time: 8.1433 data_time: 0.0041 memory: 41551 loss: 1.0935 +2024/02/13 09:09:20 - mmengine - INFO - Epoch(train) [54][50/78] lr: 2.7456e+00 eta: 6:34:30 time: 8.1449 data_time: 0.0043 memory: 41551 loss: 1.1006 +2024/02/13 09:10:41 - mmengine - INFO - Epoch(train) [54][60/78] lr: 2.7297e+00 eta: 6:33:05 time: 8.1388 data_time: 0.0043 memory: 41551 loss: 1.1010 +2024/02/13 09:12:02 - mmengine - INFO - Epoch(train) [54][70/78] lr: 2.7137e+00 eta: 6:31:40 time: 8.1479 data_time: 0.0042 memory: 41551 loss: 1.0896 +2024/02/13 09:13:08 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 09:13:08 - mmengine - INFO - Saving checkpoint at 54 epochs +2024/02/13 09:13:36 - mmengine - INFO - Epoch(val) [54][ 10/196] eta: 0:02:12 time: 0.7131 data_time: 0.0234 memory: 41551 +2024/02/13 09:13:43 - mmengine - INFO - Epoch(val) [54][ 20/196] eta: 0:02:03 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 09:13:50 - mmengine - INFO - Epoch(val) [54][ 30/196] eta: 0:01:55 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 09:13:57 - mmengine - INFO - Epoch(val) [54][ 40/196] eta: 0:01:48 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 09:14:04 - mmengine - INFO - Epoch(val) [54][ 50/196] eta: 0:01:41 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 09:14:11 - mmengine - INFO - Epoch(val) [54][ 60/196] eta: 0:01:34 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 09:14:18 - mmengine - INFO - Epoch(val) [54][ 70/196] eta: 0:01:27 time: 0.6882 data_time: 0.0008 memory: 4673 +2024/02/13 09:14:25 - mmengine - INFO - Epoch(val) [54][ 80/196] eta: 0:01:20 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 09:14:31 - mmengine - INFO - Epoch(val) [54][ 90/196] eta: 0:01:13 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 09:14:38 - mmengine - INFO - Epoch(val) [54][100/196] eta: 0:01:06 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 09:14:45 - mmengine - INFO - Epoch(val) [54][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 09:14:52 - mmengine - INFO - Epoch(val) [54][120/196] eta: 0:00:52 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 09:14:59 - mmengine - INFO - Epoch(val) [54][130/196] eta: 0:00:45 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 09:15:06 - mmengine - INFO - Epoch(val) [54][140/196] eta: 0:00:38 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 09:15:13 - mmengine - INFO - Epoch(val) [54][150/196] eta: 0:00:31 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 09:15:20 - mmengine - INFO - Epoch(val) [54][160/196] eta: 0:00:24 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 09:15:27 - mmengine - INFO - Epoch(val) [54][170/196] eta: 0:00:17 time: 0.6873 data_time: 0.0004 memory: 4673 +2024/02/13 09:15:33 - mmengine - INFO - Epoch(val) [54][180/196] eta: 0:00:11 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 09:15:40 - mmengine - INFO - Epoch(val) [54][190/196] eta: 0:00:04 time: 0.6874 data_time: 0.0004 memory: 4673 +2024/02/13 09:15:53 - mmengine - INFO - Epoch(val) [54][196/196] accuracy/top1: 75.5420 accuracy/top5: 91.9300 data_time: 0.0018 time: 0.6843 +2024/02/13 09:17:32 - mmengine - INFO - Epoch(train) [55][10/78] lr: 2.6851e+00 eta: 6:29:19 time: 9.8466 data_time: 1.6558 memory: 41551 loss: 1.0419 +2024/02/13 09:18:53 - mmengine - INFO - Epoch(train) [55][20/78] lr: 2.6692e+00 eta: 6:27:54 time: 8.1318 data_time: 0.0041 memory: 41551 loss: 1.0555 +2024/02/13 09:20:15 - mmengine - INFO - Epoch(train) [55][30/78] lr: 2.6533e+00 eta: 6:26:29 time: 8.1594 data_time: 0.0041 memory: 41551 loss: 1.0676 +2024/02/13 09:21:36 - mmengine - INFO - Epoch(train) [55][40/78] lr: 2.6375e+00 eta: 6:25:04 time: 8.1451 data_time: 0.0042 memory: 41551 loss: 1.0884 +2024/02/13 09:22:58 - mmengine - INFO - Epoch(train) [55][50/78] lr: 2.6216e+00 eta: 6:23:39 time: 8.1424 data_time: 0.0045 memory: 41551 loss: 1.0742 +2024/02/13 09:24:19 - mmengine - INFO - Epoch(train) [55][60/78] lr: 2.6058e+00 eta: 6:22:15 time: 8.1486 data_time: 0.0042 memory: 41551 loss: 1.0784 +2024/02/13 09:25:41 - mmengine - INFO - Epoch(train) [55][70/78] lr: 2.5899e+00 eta: 6:20:50 time: 8.1514 data_time: 0.0049 memory: 41551 loss: 1.0971 +2024/02/13 09:26:46 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 09:26:46 - mmengine - INFO - Saving checkpoint at 55 epochs +2024/02/13 09:27:15 - mmengine - INFO - Epoch(val) [55][ 10/196] eta: 0:02:12 time: 0.7121 data_time: 0.0218 memory: 41551 +2024/02/13 09:27:22 - mmengine - INFO - Epoch(val) [55][ 20/196] eta: 0:02:03 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 09:27:28 - mmengine - INFO - Epoch(val) [55][ 30/196] eta: 0:01:55 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 09:27:35 - mmengine - INFO - Epoch(val) [55][ 40/196] eta: 0:01:48 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 09:27:42 - mmengine - INFO - Epoch(val) [55][ 50/196] eta: 0:01:41 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 09:27:49 - mmengine - INFO - Epoch(val) [55][ 60/196] eta: 0:01:34 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 09:27:56 - mmengine - INFO - Epoch(val) [55][ 70/196] eta: 0:01:27 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 09:28:03 - mmengine - INFO - Epoch(val) [55][ 80/196] eta: 0:01:20 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 09:28:10 - mmengine - INFO - Epoch(val) [55][ 90/196] eta: 0:01:13 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 09:28:17 - mmengine - INFO - Epoch(val) [55][100/196] eta: 0:01:06 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 09:28:23 - mmengine - INFO - Epoch(val) [55][110/196] eta: 0:00:59 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 09:28:30 - mmengine - INFO - Epoch(val) [55][120/196] eta: 0:00:52 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 09:28:37 - mmengine - INFO - Epoch(val) [55][130/196] eta: 0:00:45 time: 0.6877 data_time: 0.0008 memory: 4673 +2024/02/13 09:28:44 - mmengine - INFO - Epoch(val) [55][140/196] eta: 0:00:38 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 09:28:51 - mmengine - INFO - Epoch(val) [55][150/196] eta: 0:00:31 time: 0.6883 data_time: 0.0008 memory: 4673 +2024/02/13 09:28:58 - mmengine - INFO - Epoch(val) [55][160/196] eta: 0:00:24 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 09:29:05 - mmengine - INFO - Epoch(val) [55][170/196] eta: 0:00:17 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 09:29:12 - mmengine - INFO - Epoch(val) [55][180/196] eta: 0:00:11 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 09:29:19 - mmengine - INFO - Epoch(val) [55][190/196] eta: 0:00:04 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 09:29:32 - mmengine - INFO - Epoch(val) [55][196/196] accuracy/top1: 75.5260 accuracy/top5: 92.0040 data_time: 0.0017 time: 0.6843 +2024/02/13 09:31:06 - mmengine - INFO - Epoch(train) [56][10/78] lr: 2.5615e+00 eta: 6:18:26 time: 9.4369 data_time: 1.2932 memory: 41551 loss: 1.0576 +2024/02/13 09:32:27 - mmengine - INFO - Epoch(train) [56][20/78] lr: 2.5457e+00 eta: 6:17:01 time: 8.1348 data_time: 0.0045 memory: 41551 loss: 1.0507 +2024/02/13 09:33:49 - mmengine - INFO - Epoch(train) [56][30/78] lr: 2.5300e+00 eta: 6:15:36 time: 8.1402 data_time: 0.0040 memory: 41551 loss: 1.0897 +2024/02/13 09:35:10 - mmengine - INFO - Epoch(train) [56][40/78] lr: 2.5142e+00 eta: 6:14:11 time: 8.1402 data_time: 0.0043 memory: 41551 loss: 1.0713 +2024/02/13 09:36:32 - mmengine - INFO - Epoch(train) [56][50/78] lr: 2.4985e+00 eta: 6:12:47 time: 8.1459 data_time: 0.0045 memory: 41551 loss: 1.0746 +2024/02/13 09:37:53 - mmengine - INFO - Epoch(train) [56][60/78] lr: 2.4828e+00 eta: 6:11:22 time: 8.1467 data_time: 0.0042 memory: 41551 loss: 1.0911 +2024/02/13 09:39:14 - mmengine - INFO - Epoch(train) [56][70/78] lr: 2.4671e+00 eta: 6:09:57 time: 8.1501 data_time: 0.0042 memory: 41551 loss: 1.0538 +2024/02/13 09:40:20 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 09:40:20 - mmengine - INFO - Saving checkpoint at 56 epochs +2024/02/13 09:40:48 - mmengine - INFO - Epoch(val) [56][ 10/196] eta: 0:02:12 time: 0.7124 data_time: 0.0220 memory: 41551 +2024/02/13 09:40:55 - mmengine - INFO - Epoch(val) [56][ 20/196] eta: 0:02:03 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 09:41:02 - mmengine - INFO - Epoch(val) [56][ 30/196] eta: 0:01:55 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 09:41:09 - mmengine - INFO - Epoch(val) [56][ 40/196] eta: 0:01:48 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 09:41:16 - mmengine - INFO - Epoch(val) [56][ 50/196] eta: 0:01:41 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 09:41:22 - mmengine - INFO - Epoch(val) [56][ 60/196] eta: 0:01:34 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 09:41:29 - mmengine - INFO - Epoch(val) [56][ 70/196] eta: 0:01:27 time: 0.6882 data_time: 0.0009 memory: 4673 +2024/02/13 09:41:36 - mmengine - INFO - Epoch(val) [56][ 80/196] eta: 0:01:20 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 09:41:43 - mmengine - INFO - Epoch(val) [56][ 90/196] eta: 0:01:13 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 09:41:50 - mmengine - INFO - Epoch(val) [56][100/196] eta: 0:01:06 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 09:41:57 - mmengine - INFO - Epoch(val) [56][110/196] eta: 0:00:59 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 09:42:04 - mmengine - INFO - Epoch(val) [56][120/196] eta: 0:00:52 time: 0.6881 data_time: 0.0011 memory: 4673 +2024/02/13 09:42:11 - mmengine - INFO - Epoch(val) [56][130/196] eta: 0:00:45 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 09:42:17 - mmengine - INFO - Epoch(val) [56][140/196] eta: 0:00:38 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 09:42:24 - mmengine - INFO - Epoch(val) [56][150/196] eta: 0:00:31 time: 0.6883 data_time: 0.0008 memory: 4673 +2024/02/13 09:42:31 - mmengine - INFO - Epoch(val) [56][160/196] eta: 0:00:24 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 09:42:38 - mmengine - INFO - Epoch(val) [56][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 09:42:45 - mmengine - INFO - Epoch(val) [56][180/196] eta: 0:00:11 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 09:42:52 - mmengine - INFO - Epoch(val) [56][190/196] eta: 0:00:04 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 09:43:05 - mmengine - INFO - Epoch(val) [56][196/196] accuracy/top1: 75.4680 accuracy/top5: 92.0460 data_time: 0.0018 time: 0.6844 +2024/02/13 09:44:39 - mmengine - INFO - Epoch(train) [57][10/78] lr: 2.4389e+00 eta: 6:07:33 time: 9.4379 data_time: 1.2430 memory: 41551 loss: 1.0696 +2024/02/13 09:46:01 - mmengine - INFO - Epoch(train) [57][20/78] lr: 2.4232e+00 eta: 6:06:08 time: 8.1746 data_time: 0.0042 memory: 41551 loss: 1.0546 +2024/02/13 09:47:22 - mmengine - INFO - Epoch(train) [57][30/78] lr: 2.4076e+00 eta: 6:04:44 time: 8.1486 data_time: 0.0038 memory: 41551 loss: 1.0577 +2024/02/13 09:48:44 - mmengine - INFO - Epoch(train) [57][40/78] lr: 2.3920e+00 eta: 6:03:19 time: 8.1309 data_time: 0.0045 memory: 41551 loss: 1.0626 +2024/02/13 09:50:05 - mmengine - INFO - Epoch(train) [57][50/78] lr: 2.3764e+00 eta: 6:01:54 time: 8.1478 data_time: 0.0044 memory: 41551 loss: 1.0794 +2024/02/13 09:51:27 - mmengine - INFO - Epoch(train) [57][60/78] lr: 2.3609e+00 eta: 6:00:30 time: 8.1526 data_time: 0.0047 memory: 41551 loss: 1.0639 +2024/02/13 09:52:48 - mmengine - INFO - Epoch(train) [57][70/78] lr: 2.3454e+00 eta: 5:59:05 time: 8.1497 data_time: 0.0049 memory: 41551 loss: 1.0692 +2024/02/13 09:53:53 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 09:53:53 - mmengine - INFO - Saving checkpoint at 57 epochs +2024/02/13 09:54:22 - mmengine - INFO - Epoch(val) [57][ 10/196] eta: 0:02:12 time: 0.7143 data_time: 0.0235 memory: 41551 +2024/02/13 09:54:29 - mmengine - INFO - Epoch(val) [57][ 20/196] eta: 0:02:03 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 09:54:36 - mmengine - INFO - Epoch(val) [57][ 30/196] eta: 0:01:55 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 09:54:43 - mmengine - INFO - Epoch(val) [57][ 40/196] eta: 0:01:48 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 09:54:50 - mmengine - INFO - Epoch(val) [57][ 50/196] eta: 0:01:41 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 09:54:57 - mmengine - INFO - Epoch(val) [57][ 60/196] eta: 0:01:34 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 09:55:03 - mmengine - INFO - Epoch(val) [57][ 70/196] eta: 0:01:27 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 09:55:10 - mmengine - INFO - Epoch(val) [57][ 80/196] eta: 0:01:20 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 09:55:17 - mmengine - INFO - Epoch(val) [57][ 90/196] eta: 0:01:13 time: 0.6888 data_time: 0.0014 memory: 4673 +2024/02/13 09:55:24 - mmengine - INFO - Epoch(val) [57][100/196] eta: 0:01:06 time: 0.6883 data_time: 0.0007 memory: 4673 +2024/02/13 09:55:31 - mmengine - INFO - Epoch(val) [57][110/196] eta: 0:00:59 time: 0.6969 data_time: 0.0007 memory: 4673 +2024/02/13 09:55:38 - mmengine - INFO - Epoch(val) [57][120/196] eta: 0:00:52 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 09:55:45 - mmengine - INFO - Epoch(val) [57][130/196] eta: 0:00:45 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 09:55:52 - mmengine - INFO - Epoch(val) [57][140/196] eta: 0:00:38 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 09:55:59 - mmengine - INFO - Epoch(val) [57][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 09:56:05 - mmengine - INFO - Epoch(val) [57][160/196] eta: 0:00:24 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 09:56:12 - mmengine - INFO - Epoch(val) [57][170/196] eta: 0:00:17 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 09:56:19 - mmengine - INFO - Epoch(val) [57][180/196] eta: 0:00:11 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 09:56:26 - mmengine - INFO - Epoch(val) [57][190/196] eta: 0:00:04 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 09:56:39 - mmengine - INFO - Epoch(val) [57][196/196] accuracy/top1: 75.6400 accuracy/top5: 92.1020 data_time: 0.0019 time: 0.6850 +2024/02/13 09:58:13 - mmengine - INFO - Epoch(train) [58][10/78] lr: 2.3174e+00 eta: 5:56:40 time: 9.4395 data_time: 1.2232 memory: 41551 loss: 1.0474 +2024/02/13 09:59:35 - mmengine - INFO - Epoch(train) [58][20/78] lr: 2.3020e+00 eta: 5:55:16 time: 8.1353 data_time: 0.0041 memory: 41551 loss: 1.0352 +2024/02/13 10:00:56 - mmengine - INFO - Epoch(train) [58][30/78] lr: 2.2865e+00 eta: 5:53:51 time: 8.1483 data_time: 0.0044 memory: 41551 loss: 1.0532 +2024/02/13 10:02:18 - mmengine - INFO - Epoch(train) [58][40/78] lr: 2.2711e+00 eta: 5:52:26 time: 8.1414 data_time: 0.0040 memory: 41551 loss: 1.0483 +2024/02/13 10:03:39 - mmengine - INFO - Epoch(train) [58][50/78] lr: 2.2557e+00 eta: 5:51:02 time: 8.1341 data_time: 0.0043 memory: 41551 loss: 1.0693 +2024/02/13 10:05:01 - mmengine - INFO - Epoch(train) [58][60/78] lr: 2.2403e+00 eta: 5:49:37 time: 8.1579 data_time: 0.0048 memory: 41551 loss: 1.0888 +2024/02/13 10:06:22 - mmengine - INFO - Epoch(train) [58][70/78] lr: 2.2249e+00 eta: 5:48:13 time: 8.1576 data_time: 0.0053 memory: 41551 loss: 1.0654 +2024/02/13 10:07:27 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 10:07:27 - mmengine - INFO - Saving checkpoint at 58 epochs +2024/02/13 10:07:56 - mmengine - INFO - Epoch(val) [58][ 10/196] eta: 0:02:12 time: 0.7128 data_time: 0.0218 memory: 41551 +2024/02/13 10:08:03 - mmengine - INFO - Epoch(val) [58][ 20/196] eta: 0:02:03 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 10:08:10 - mmengine - INFO - Epoch(val) [58][ 30/196] eta: 0:01:55 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 10:08:17 - mmengine - INFO - Epoch(val) [58][ 40/196] eta: 0:01:48 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 10:08:23 - mmengine - INFO - Epoch(val) [58][ 50/196] eta: 0:01:41 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 10:08:30 - mmengine - INFO - Epoch(val) [58][ 60/196] eta: 0:01:34 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 10:08:37 - mmengine - INFO - Epoch(val) [58][ 70/196] eta: 0:01:27 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 10:08:44 - mmengine - INFO - Epoch(val) [58][ 80/196] eta: 0:01:20 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 10:08:51 - mmengine - INFO - Epoch(val) [58][ 90/196] eta: 0:01:13 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 10:08:58 - mmengine - INFO - Epoch(val) [58][100/196] eta: 0:01:06 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 10:09:05 - mmengine - INFO - Epoch(val) [58][110/196] eta: 0:00:59 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 10:09:12 - mmengine - INFO - Epoch(val) [58][120/196] eta: 0:00:52 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 10:09:18 - mmengine - INFO - Epoch(val) [58][130/196] eta: 0:00:45 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 10:09:25 - mmengine - INFO - Epoch(val) [58][140/196] eta: 0:00:38 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 10:09:32 - mmengine - INFO - Epoch(val) [58][150/196] eta: 0:00:31 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 10:09:39 - mmengine - INFO - Epoch(val) [58][160/196] eta: 0:00:24 time: 0.6881 data_time: 0.0012 memory: 4673 +2024/02/13 10:09:46 - mmengine - INFO - Epoch(val) [58][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 10:09:53 - mmengine - INFO - Epoch(val) [58][180/196] eta: 0:00:11 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 10:10:00 - mmengine - INFO - Epoch(val) [58][190/196] eta: 0:00:04 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 10:10:13 - mmengine - INFO - Epoch(val) [58][196/196] accuracy/top1: 75.9040 accuracy/top5: 92.0500 data_time: 0.0017 time: 0.6841 +2024/02/13 10:11:52 - mmengine - INFO - Epoch(train) [59][10/78] lr: 2.1974e+00 eta: 5:45:50 time: 9.9586 data_time: 1.8446 memory: 41551 loss: 1.0213 +2024/02/13 10:13:14 - mmengine - INFO - Epoch(train) [59][20/78] lr: 2.1821e+00 eta: 5:44:26 time: 8.1487 data_time: 0.0042 memory: 41551 loss: 1.0619 +2024/02/13 10:14:35 - mmengine - INFO - Epoch(train) [59][30/78] lr: 2.1668e+00 eta: 5:43:01 time: 8.1424 data_time: 0.0040 memory: 41551 loss: 1.0550 +2024/02/13 10:15:57 - mmengine - INFO - Epoch(train) [59][40/78] lr: 2.1516e+00 eta: 5:41:37 time: 8.1505 data_time: 0.0044 memory: 41551 loss: 1.0466 +2024/02/13 10:17:18 - mmengine - INFO - Epoch(train) [59][50/78] lr: 2.1364e+00 eta: 5:40:12 time: 8.1422 data_time: 0.0037 memory: 41551 loss: 1.0470 +2024/02/13 10:18:39 - mmengine - INFO - Epoch(train) [59][60/78] lr: 2.1212e+00 eta: 5:38:48 time: 8.1385 data_time: 0.0040 memory: 41551 loss: 1.0386 +2024/02/13 10:20:01 - mmengine - INFO - Epoch(train) [59][70/78] lr: 2.1060e+00 eta: 5:37:23 time: 8.1478 data_time: 0.0043 memory: 41551 loss: 1.0893 +2024/02/13 10:21:06 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 10:21:06 - mmengine - INFO - Saving checkpoint at 59 epochs +2024/02/13 10:21:35 - mmengine - INFO - Epoch(val) [59][ 10/196] eta: 0:02:12 time: 0.7123 data_time: 0.0219 memory: 41551 +2024/02/13 10:21:42 - mmengine - INFO - Epoch(val) [59][ 20/196] eta: 0:02:03 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 10:21:49 - mmengine - INFO - Epoch(val) [59][ 30/196] eta: 0:01:55 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 10:21:56 - mmengine - INFO - Epoch(val) [59][ 40/196] eta: 0:01:48 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 10:22:03 - mmengine - INFO - Epoch(val) [59][ 50/196] eta: 0:01:41 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 10:22:10 - mmengine - INFO - Epoch(val) [59][ 60/196] eta: 0:01:34 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 10:22:17 - mmengine - INFO - Epoch(val) [59][ 70/196] eta: 0:01:27 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 10:22:23 - mmengine - INFO - Epoch(val) [59][ 80/196] eta: 0:01:20 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 10:22:30 - mmengine - INFO - Epoch(val) [59][ 90/196] eta: 0:01:13 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 10:22:37 - mmengine - INFO - Epoch(val) [59][100/196] eta: 0:01:06 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/13 10:22:44 - mmengine - INFO - Epoch(val) [59][110/196] eta: 0:00:59 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 10:22:51 - mmengine - INFO - Epoch(val) [59][120/196] eta: 0:00:52 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 10:22:58 - mmengine - INFO - Epoch(val) [59][130/196] eta: 0:00:45 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 10:23:05 - mmengine - INFO - Epoch(val) [59][140/196] eta: 0:00:38 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 10:23:12 - mmengine - INFO - Epoch(val) [59][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 10:23:18 - mmengine - INFO - Epoch(val) [59][160/196] eta: 0:00:24 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 10:23:25 - mmengine - INFO - Epoch(val) [59][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 10:23:32 - mmengine - INFO - Epoch(val) [59][180/196] eta: 0:00:11 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 10:23:39 - mmengine - INFO - Epoch(val) [59][190/196] eta: 0:00:04 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 10:23:52 - mmengine - INFO - Epoch(val) [59][196/196] accuracy/top1: 75.8720 accuracy/top5: 92.0900 data_time: 0.0017 time: 0.6841 +2024/02/13 10:25:32 - mmengine - INFO - Epoch(train) [60][10/78] lr: 2.0788e+00 eta: 5:35:01 time: 10.0221 data_time: 1.9182 memory: 41551 loss: 1.0138 +2024/02/13 10:26:54 - mmengine - INFO - Epoch(train) [60][20/78] lr: 2.0638e+00 eta: 5:33:36 time: 8.1495 data_time: 0.0043 memory: 41551 loss: 1.0288 +2024/02/13 10:28:15 - mmengine - INFO - Epoch(train) [60][30/78] lr: 2.0487e+00 eta: 5:32:12 time: 8.1419 data_time: 0.0044 memory: 41551 loss: 1.0391 +2024/02/13 10:29:36 - mmengine - INFO - Epoch(train) [60][40/78] lr: 2.0337e+00 eta: 5:30:47 time: 8.1395 data_time: 0.0039 memory: 41551 loss: 1.0516 +2024/02/13 10:30:58 - mmengine - INFO - Epoch(train) [60][50/78] lr: 2.0187e+00 eta: 5:29:23 time: 8.1495 data_time: 0.0046 memory: 41551 loss: 1.0581 +2024/02/13 10:32:19 - mmengine - INFO - Epoch(train) [60][60/78] lr: 2.0037e+00 eta: 5:27:58 time: 8.1519 data_time: 0.0038 memory: 41551 loss: 1.0811 +2024/02/13 10:33:41 - mmengine - INFO - Epoch(train) [60][70/78] lr: 1.9888e+00 eta: 5:26:34 time: 8.1540 data_time: 0.0042 memory: 41551 loss: 1.0751 +2024/02/13 10:34:46 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 10:34:46 - mmengine - INFO - Saving checkpoint at 60 epochs +2024/02/13 10:35:15 - mmengine - INFO - Epoch(val) [60][ 10/196] eta: 0:02:12 time: 0.7117 data_time: 0.0218 memory: 41551 +2024/02/13 10:35:22 - mmengine - INFO - Epoch(val) [60][ 20/196] eta: 0:02:03 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 10:35:29 - mmengine - INFO - Epoch(val) [60][ 30/196] eta: 0:01:55 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 10:35:36 - mmengine - INFO - Epoch(val) [60][ 40/196] eta: 0:01:48 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 10:35:42 - mmengine - INFO - Epoch(val) [60][ 50/196] eta: 0:01:41 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 10:35:49 - mmengine - INFO - Epoch(val) [60][ 60/196] eta: 0:01:34 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 10:35:56 - mmengine - INFO - Epoch(val) [60][ 70/196] eta: 0:01:27 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 10:36:03 - mmengine - INFO - Epoch(val) [60][ 80/196] eta: 0:01:20 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 10:36:10 - mmengine - INFO - Epoch(val) [60][ 90/196] eta: 0:01:13 time: 0.6880 data_time: 0.0005 memory: 4673 +2024/02/13 10:36:17 - mmengine - INFO - Epoch(val) [60][100/196] eta: 0:01:06 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 10:36:24 - mmengine - INFO - Epoch(val) [60][110/196] eta: 0:00:59 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 10:36:31 - mmengine - INFO - Epoch(val) [60][120/196] eta: 0:00:52 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 10:36:38 - mmengine - INFO - Epoch(val) [60][130/196] eta: 0:00:45 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 10:36:44 - mmengine - INFO - Epoch(val) [60][140/196] eta: 0:00:38 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 10:36:51 - mmengine - INFO - Epoch(val) [60][150/196] eta: 0:00:31 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 10:36:58 - mmengine - INFO - Epoch(val) [60][160/196] eta: 0:00:24 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 10:37:05 - mmengine - INFO - Epoch(val) [60][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 10:37:12 - mmengine - INFO - Epoch(val) [60][180/196] eta: 0:00:11 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 10:37:19 - mmengine - INFO - Epoch(val) [60][190/196] eta: 0:00:04 time: 0.6881 data_time: 0.0011 memory: 4673 +2024/02/13 10:37:32 - mmengine - INFO - Epoch(val) [60][196/196] accuracy/top1: 75.9740 accuracy/top5: 92.1860 data_time: 0.0017 time: 0.6844 +2024/02/13 10:39:12 - mmengine - INFO - Epoch(train) [61][10/78] lr: 1.9620e+00 eta: 5:24:11 time: 10.0287 data_time: 1.9393 memory: 41551 loss: 1.0325 +2024/02/13 10:40:33 - mmengine - INFO - Epoch(train) [61][20/78] lr: 1.9472e+00 eta: 5:22:47 time: 8.1472 data_time: 0.0042 memory: 41551 loss: 1.0089 +2024/02/13 10:41:55 - mmengine - INFO - Epoch(train) [61][30/78] lr: 1.9324e+00 eta: 5:21:22 time: 8.1472 data_time: 0.0041 memory: 41551 loss: 1.0741 +2024/02/13 10:43:16 - mmengine - INFO - Epoch(train) [61][40/78] lr: 1.9176e+00 eta: 5:19:58 time: 8.1371 data_time: 0.0044 memory: 41551 loss: 1.0267 +2024/02/13 10:44:38 - mmengine - INFO - Epoch(train) [61][50/78] lr: 1.9029e+00 eta: 5:18:33 time: 8.1341 data_time: 0.0044 memory: 41551 loss: 1.0480 +2024/02/13 10:45:59 - mmengine - INFO - Epoch(train) [61][60/78] lr: 1.8881e+00 eta: 5:17:09 time: 8.1483 data_time: 0.0041 memory: 41551 loss: 1.0610 +2024/02/13 10:47:21 - mmengine - INFO - Epoch(train) [61][70/78] lr: 1.8735e+00 eta: 5:15:45 time: 8.1456 data_time: 0.0039 memory: 41551 loss: 1.0395 +2024/02/13 10:48:26 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 10:48:26 - mmengine - INFO - Saving checkpoint at 61 epochs +2024/02/13 10:48:54 - mmengine - INFO - Epoch(val) [61][ 10/196] eta: 0:02:12 time: 0.7121 data_time: 0.0220 memory: 41551 +2024/02/13 10:49:01 - mmengine - INFO - Epoch(val) [61][ 20/196] eta: 0:02:03 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 10:49:08 - mmengine - INFO - Epoch(val) [61][ 30/196] eta: 0:01:55 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 10:49:15 - mmengine - INFO - Epoch(val) [61][ 40/196] eta: 0:01:48 time: 0.6886 data_time: 0.0013 memory: 4673 +2024/02/13 10:49:22 - mmengine - INFO - Epoch(val) [61][ 50/196] eta: 0:01:41 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 10:49:29 - mmengine - INFO - Epoch(val) [61][ 60/196] eta: 0:01:34 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 10:49:36 - mmengine - INFO - Epoch(val) [61][ 70/196] eta: 0:01:27 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 10:49:43 - mmengine - INFO - Epoch(val) [61][ 80/196] eta: 0:01:20 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 10:49:50 - mmengine - INFO - Epoch(val) [61][ 90/196] eta: 0:01:13 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 10:49:56 - mmengine - INFO - Epoch(val) [61][100/196] eta: 0:01:06 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 10:50:03 - mmengine - INFO - Epoch(val) [61][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0005 memory: 4673 +2024/02/13 10:50:10 - mmengine - INFO - Epoch(val) [61][120/196] eta: 0:00:52 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 10:50:17 - mmengine - INFO - Epoch(val) [61][130/196] eta: 0:00:45 time: 0.6883 data_time: 0.0007 memory: 4673 +2024/02/13 10:50:24 - mmengine - INFO - Epoch(val) [61][140/196] eta: 0:00:38 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 10:50:31 - mmengine - INFO - Epoch(val) [61][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 10:50:38 - mmengine - INFO - Epoch(val) [61][160/196] eta: 0:00:24 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 10:50:45 - mmengine - INFO - Epoch(val) [61][170/196] eta: 0:00:17 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 10:50:51 - mmengine - INFO - Epoch(val) [61][180/196] eta: 0:00:11 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 10:50:58 - mmengine - INFO - Epoch(val) [61][190/196] eta: 0:00:04 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 10:51:11 - mmengine - INFO - Epoch(val) [61][196/196] accuracy/top1: 75.9060 accuracy/top5: 92.1940 data_time: 0.0017 time: 0.6845 +2024/02/13 10:52:46 - mmengine - INFO - Epoch(train) [62][10/78] lr: 1.8471e+00 eta: 5:13:19 time: 9.4296 data_time: 1.3306 memory: 41551 loss: 0.9945 +2024/02/13 10:54:07 - mmengine - INFO - Epoch(train) [62][20/78] lr: 1.8326e+00 eta: 5:11:54 time: 8.1236 data_time: 0.0041 memory: 41551 loss: 1.0248 +2024/02/13 10:55:28 - mmengine - INFO - Epoch(train) [62][30/78] lr: 1.8180e+00 eta: 5:10:30 time: 8.1366 data_time: 0.0041 memory: 41551 loss: 1.0142 +2024/02/13 10:56:50 - mmengine - INFO - Epoch(train) [62][40/78] lr: 1.8035e+00 eta: 5:09:05 time: 8.1336 data_time: 0.0043 memory: 41551 loss: 1.0330 +2024/02/13 10:58:11 - mmengine - INFO - Epoch(train) [62][50/78] lr: 1.7890e+00 eta: 5:07:41 time: 8.1345 data_time: 0.0047 memory: 41551 loss: 1.0227 +2024/02/13 10:59:32 - mmengine - INFO - Epoch(train) [62][60/78] lr: 1.7746e+00 eta: 5:06:16 time: 8.1321 data_time: 0.0043 memory: 41551 loss: 1.0543 +2024/02/13 11:00:54 - mmengine - INFO - Epoch(train) [62][70/78] lr: 1.7602e+00 eta: 5:04:52 time: 8.1332 data_time: 0.0048 memory: 41551 loss: 1.0178 +2024/02/13 11:01:59 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 11:01:59 - mmengine - INFO - Saving checkpoint at 62 epochs +2024/02/13 11:02:28 - mmengine - INFO - Epoch(val) [62][ 10/196] eta: 0:02:12 time: 0.7124 data_time: 0.0216 memory: 41551 +2024/02/13 11:02:35 - mmengine - INFO - Epoch(val) [62][ 20/196] eta: 0:02:03 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 11:02:42 - mmengine - INFO - Epoch(val) [62][ 30/196] eta: 0:01:55 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 11:02:49 - mmengine - INFO - Epoch(val) [62][ 40/196] eta: 0:01:48 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 11:02:56 - mmengine - INFO - Epoch(val) [62][ 50/196] eta: 0:01:41 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 11:03:02 - mmengine - INFO - Epoch(val) [62][ 60/196] eta: 0:01:34 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 11:03:09 - mmengine - INFO - Epoch(val) [62][ 70/196] eta: 0:01:27 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 11:03:16 - mmengine - INFO - Epoch(val) [62][ 80/196] eta: 0:01:20 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 11:03:23 - mmengine - INFO - Epoch(val) [62][ 90/196] eta: 0:01:13 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 11:03:30 - mmengine - INFO - Epoch(val) [62][100/196] eta: 0:01:06 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 11:03:37 - mmengine - INFO - Epoch(val) [62][110/196] eta: 0:00:59 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 11:03:44 - mmengine - INFO - Epoch(val) [62][120/196] eta: 0:00:52 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 11:03:51 - mmengine - INFO - Epoch(val) [62][130/196] eta: 0:00:45 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 11:03:57 - mmengine - INFO - Epoch(val) [62][140/196] eta: 0:00:38 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 11:04:04 - mmengine - INFO - Epoch(val) [62][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 11:04:11 - mmengine - INFO - Epoch(val) [62][160/196] eta: 0:00:24 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 11:04:18 - mmengine - INFO - Epoch(val) [62][170/196] eta: 0:00:17 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 11:04:25 - mmengine - INFO - Epoch(val) [62][180/196] eta: 0:00:11 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 11:04:32 - mmengine - INFO - Epoch(val) [62][190/196] eta: 0:00:04 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 11:04:45 - mmengine - INFO - Epoch(val) [62][196/196] accuracy/top1: 76.1320 accuracy/top5: 92.2460 data_time: 0.0017 time: 0.6842 +2024/02/13 11:06:25 - mmengine - INFO - Epoch(train) [63][10/78] lr: 1.7343e+00 eta: 5:02:28 time: 9.9847 data_time: 1.8880 memory: 41551 loss: 0.9929 +2024/02/13 11:07:46 - mmengine - INFO - Epoch(train) [63][20/78] lr: 1.7200e+00 eta: 5:01:04 time: 8.1205 data_time: 0.0044 memory: 41551 loss: 1.0214 +2024/02/13 11:09:07 - mmengine - INFO - Epoch(train) [63][30/78] lr: 1.7058e+00 eta: 4:59:39 time: 8.1303 data_time: 0.0044 memory: 41551 loss: 1.0003 +2024/02/13 11:10:29 - mmengine - INFO - Epoch(train) [63][40/78] lr: 1.6915e+00 eta: 4:58:15 time: 8.1322 data_time: 0.0042 memory: 41551 loss: 1.0279 +2024/02/13 11:11:50 - mmengine - INFO - Epoch(train) [63][50/78] lr: 1.6773e+00 eta: 4:56:51 time: 8.1483 data_time: 0.0043 memory: 41551 loss: 1.0373 +2024/02/13 11:13:12 - mmengine - INFO - Epoch(train) [63][60/78] lr: 1.6632e+00 eta: 4:55:26 time: 8.1478 data_time: 0.0043 memory: 41551 loss: 1.0473 +2024/02/13 11:14:33 - mmengine - INFO - Epoch(train) [63][70/78] lr: 1.6491e+00 eta: 4:54:02 time: 8.1482 data_time: 0.0045 memory: 41551 loss: 0.9998 +2024/02/13 11:15:38 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 11:15:38 - mmengine - INFO - Saving checkpoint at 63 epochs +2024/02/13 11:16:06 - mmengine - INFO - Epoch(val) [63][ 10/196] eta: 0:02:12 time: 0.7131 data_time: 0.0217 memory: 41551 +2024/02/13 11:16:13 - mmengine - INFO - Epoch(val) [63][ 20/196] eta: 0:02:03 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 11:16:20 - mmengine - INFO - Epoch(val) [63][ 30/196] eta: 0:01:55 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 11:16:27 - mmengine - INFO - Epoch(val) [63][ 40/196] eta: 0:01:48 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 11:16:34 - mmengine - INFO - Epoch(val) [63][ 50/196] eta: 0:01:41 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 11:16:41 - mmengine - INFO - Epoch(val) [63][ 60/196] eta: 0:01:34 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 11:16:48 - mmengine - INFO - Epoch(val) [63][ 70/196] eta: 0:01:27 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 11:16:55 - mmengine - INFO - Epoch(val) [63][ 80/196] eta: 0:01:20 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 11:17:01 - mmengine - INFO - Epoch(val) [63][ 90/196] eta: 0:01:13 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 11:17:08 - mmengine - INFO - Epoch(val) [63][100/196] eta: 0:01:06 time: 0.6884 data_time: 0.0006 memory: 4673 +2024/02/13 11:17:15 - mmengine - INFO - Epoch(val) [63][110/196] eta: 0:00:59 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 11:17:22 - mmengine - INFO - Epoch(val) [63][120/196] eta: 0:00:52 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 11:17:29 - mmengine - INFO - Epoch(val) [63][130/196] eta: 0:00:45 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 11:17:36 - mmengine - INFO - Epoch(val) [63][140/196] eta: 0:00:38 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 11:17:43 - mmengine - INFO - Epoch(val) [63][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 11:17:50 - mmengine - INFO - Epoch(val) [63][160/196] eta: 0:00:24 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 11:17:56 - mmengine - INFO - Epoch(val) [63][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 11:18:03 - mmengine - INFO - Epoch(val) [63][180/196] eta: 0:00:11 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 11:18:10 - mmengine - INFO - Epoch(val) [63][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 11:18:23 - mmengine - INFO - Epoch(val) [63][196/196] accuracy/top1: 76.1920 accuracy/top5: 92.3000 data_time: 0.0017 time: 0.6845 +2024/02/13 11:19:57 - mmengine - INFO - Epoch(train) [64][10/78] lr: 1.6238e+00 eta: 4:51:36 time: 9.4184 data_time: 1.3123 memory: 41551 loss: 0.9996 +2024/02/13 11:21:19 - mmengine - INFO - Epoch(train) [64][20/78] lr: 1.6098e+00 eta: 4:50:11 time: 8.1255 data_time: 0.0043 memory: 41551 loss: 1.0071 +2024/02/13 11:22:40 - mmengine - INFO - Epoch(train) [64][30/78] lr: 1.5958e+00 eta: 4:48:47 time: 8.1456 data_time: 0.0045 memory: 41551 loss: 1.0053 +2024/02/13 11:24:01 - mmengine - INFO - Epoch(train) [64][40/78] lr: 1.5819e+00 eta: 4:47:23 time: 8.1383 data_time: 0.0041 memory: 41551 loss: 1.0551 +2024/02/13 11:25:23 - mmengine - INFO - Epoch(train) [64][50/78] lr: 1.5680e+00 eta: 4:45:58 time: 8.1487 data_time: 0.0040 memory: 41551 loss: 1.0188 +2024/02/13 11:26:44 - mmengine - INFO - Epoch(train) [64][60/78] lr: 1.5542e+00 eta: 4:44:34 time: 8.1394 data_time: 0.0040 memory: 41551 loss: 1.0245 +2024/02/13 11:28:06 - mmengine - INFO - Epoch(train) [64][70/78] lr: 1.5404e+00 eta: 4:43:10 time: 8.1457 data_time: 0.0039 memory: 41551 loss: 1.0070 +2024/02/13 11:29:11 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 11:29:11 - mmengine - INFO - Saving checkpoint at 64 epochs +2024/02/13 11:29:40 - mmengine - INFO - Epoch(val) [64][ 10/196] eta: 0:02:12 time: 0.7126 data_time: 0.0218 memory: 41551 +2024/02/13 11:29:46 - mmengine - INFO - Epoch(val) [64][ 20/196] eta: 0:02:03 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/13 11:29:53 - mmengine - INFO - Epoch(val) [64][ 30/196] eta: 0:01:55 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 11:30:00 - mmengine - INFO - Epoch(val) [64][ 40/196] eta: 0:01:48 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/13 11:30:07 - mmengine - INFO - Epoch(val) [64][ 50/196] eta: 0:01:41 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 11:30:14 - mmengine - INFO - Epoch(val) [64][ 60/196] eta: 0:01:34 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 11:30:21 - mmengine - INFO - Epoch(val) [64][ 70/196] eta: 0:01:27 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 11:30:28 - mmengine - INFO - Epoch(val) [64][ 80/196] eta: 0:01:20 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 11:30:35 - mmengine - INFO - Epoch(val) [64][ 90/196] eta: 0:01:13 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 11:30:41 - mmengine - INFO - Epoch(val) [64][100/196] eta: 0:01:06 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 11:30:48 - mmengine - INFO - Epoch(val) [64][110/196] eta: 0:00:59 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 11:30:55 - mmengine - INFO - Epoch(val) [64][120/196] eta: 0:00:52 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 11:31:02 - mmengine - INFO - Epoch(val) [64][130/196] eta: 0:00:45 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 11:31:09 - mmengine - INFO - Epoch(val) [64][140/196] eta: 0:00:38 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 11:31:16 - mmengine - INFO - Epoch(val) [64][150/196] eta: 0:00:31 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 11:31:23 - mmengine - INFO - Epoch(val) [64][160/196] eta: 0:00:24 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 11:31:30 - mmengine - INFO - Epoch(val) [64][170/196] eta: 0:00:17 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 11:31:36 - mmengine - INFO - Epoch(val) [64][180/196] eta: 0:00:11 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 11:31:43 - mmengine - INFO - Epoch(val) [64][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 11:31:56 - mmengine - INFO - Epoch(val) [64][196/196] accuracy/top1: 76.2960 accuracy/top5: 92.3860 data_time: 0.0017 time: 0.6842 +2024/02/13 11:33:19 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 11:33:35 - mmengine - INFO - Epoch(train) [65][10/78] lr: 1.5157e+00 eta: 4:40:45 time: 9.8685 data_time: 1.2612 memory: 41551 loss: 0.9872 +2024/02/13 11:34:56 - mmengine - INFO - Epoch(train) [65][20/78] lr: 1.5020e+00 eta: 4:39:21 time: 8.1393 data_time: 0.0047 memory: 41551 loss: 0.9847 +2024/02/13 11:36:18 - mmengine - INFO - Epoch(train) [65][30/78] lr: 1.4883e+00 eta: 4:37:56 time: 8.1467 data_time: 0.0040 memory: 41551 loss: 1.0018 +2024/02/13 11:37:39 - mmengine - INFO - Epoch(train) [65][40/78] lr: 1.4748e+00 eta: 4:36:32 time: 8.1510 data_time: 0.0045 memory: 41551 loss: 1.0080 +2024/02/13 11:39:01 - mmengine - INFO - Epoch(train) [65][50/78] lr: 1.4612e+00 eta: 4:35:08 time: 8.1524 data_time: 0.0040 memory: 41551 loss: 1.0096 +2024/02/13 11:40:23 - mmengine - INFO - Epoch(train) [65][60/78] lr: 1.4477e+00 eta: 4:33:44 time: 8.1812 data_time: 0.0044 memory: 41551 loss: 1.0116 +2024/02/13 11:41:44 - mmengine - INFO - Epoch(train) [65][70/78] lr: 1.4342e+00 eta: 4:32:20 time: 8.1537 data_time: 0.0047 memory: 41551 loss: 1.0311 +2024/02/13 11:42:49 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 11:42:49 - mmengine - INFO - Saving checkpoint at 65 epochs +2024/02/13 11:43:18 - mmengine - INFO - Epoch(val) [65][ 10/196] eta: 0:02:12 time: 0.7109 data_time: 0.0218 memory: 41551 +2024/02/13 11:43:25 - mmengine - INFO - Epoch(val) [65][ 20/196] eta: 0:02:03 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 11:43:32 - mmengine - INFO - Epoch(val) [65][ 30/196] eta: 0:01:55 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 11:43:39 - mmengine - INFO - Epoch(val) [65][ 40/196] eta: 0:01:48 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 11:43:46 - mmengine - INFO - Epoch(val) [65][ 50/196] eta: 0:01:41 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 11:43:53 - mmengine - INFO - Epoch(val) [65][ 60/196] eta: 0:01:34 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 11:43:59 - mmengine - INFO - Epoch(val) [65][ 70/196] eta: 0:01:27 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 11:44:06 - mmengine - INFO - Epoch(val) [65][ 80/196] eta: 0:01:20 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 11:44:13 - mmengine - INFO - Epoch(val) [65][ 90/196] eta: 0:01:13 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 11:44:20 - mmengine - INFO - Epoch(val) [65][100/196] eta: 0:01:06 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 11:44:27 - mmengine - INFO - Epoch(val) [65][110/196] eta: 0:00:59 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 11:44:34 - mmengine - INFO - Epoch(val) [65][120/196] eta: 0:00:52 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 11:44:41 - mmengine - INFO - Epoch(val) [65][130/196] eta: 0:00:45 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 11:44:48 - mmengine - INFO - Epoch(val) [65][140/196] eta: 0:00:38 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 11:44:54 - mmengine - INFO - Epoch(val) [65][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 11:45:01 - mmengine - INFO - Epoch(val) [65][160/196] eta: 0:00:24 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 11:45:08 - mmengine - INFO - Epoch(val) [65][170/196] eta: 0:00:17 time: 0.6873 data_time: 0.0004 memory: 4673 +2024/02/13 11:45:15 - mmengine - INFO - Epoch(val) [65][180/196] eta: 0:00:11 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 11:45:22 - mmengine - INFO - Epoch(val) [65][190/196] eta: 0:00:04 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 11:45:35 - mmengine - INFO - Epoch(val) [65][196/196] accuracy/top1: 76.2840 accuracy/top5: 92.4180 data_time: 0.0016 time: 0.6842 +2024/02/13 11:47:09 - mmengine - INFO - Epoch(train) [66][10/78] lr: 1.4101e+00 eta: 4:29:53 time: 9.4156 data_time: 1.1937 memory: 41551 loss: 1.0095 +2024/02/13 11:48:30 - mmengine - INFO - Epoch(train) [66][20/78] lr: 1.3968e+00 eta: 4:28:29 time: 8.1388 data_time: 0.0040 memory: 41551 loss: 1.0026 +2024/02/13 11:49:52 - mmengine - INFO - Epoch(train) [66][30/78] lr: 1.3835e+00 eta: 4:27:04 time: 8.1569 data_time: 0.0041 memory: 41551 loss: 1.0251 +2024/02/13 11:51:13 - mmengine - INFO - Epoch(train) [66][40/78] lr: 1.3703e+00 eta: 4:25:40 time: 8.1459 data_time: 0.0041 memory: 41551 loss: 1.0038 +2024/02/13 11:52:35 - mmengine - INFO - Epoch(train) [66][50/78] lr: 1.3571e+00 eta: 4:24:16 time: 8.1370 data_time: 0.0042 memory: 41551 loss: 1.0138 +2024/02/13 11:53:56 - mmengine - INFO - Epoch(train) [66][60/78] lr: 1.3439e+00 eta: 4:22:52 time: 8.1451 data_time: 0.0043 memory: 41551 loss: 1.0344 +2024/02/13 11:55:18 - mmengine - INFO - Epoch(train) [66][70/78] lr: 1.3308e+00 eta: 4:21:28 time: 8.1368 data_time: 0.0043 memory: 41551 loss: 1.0353 +2024/02/13 11:56:23 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 11:56:23 - mmengine - INFO - Saving checkpoint at 66 epochs +2024/02/13 11:56:52 - mmengine - INFO - Epoch(val) [66][ 10/196] eta: 0:02:12 time: 0.7127 data_time: 0.0221 memory: 41551 +2024/02/13 11:56:59 - mmengine - INFO - Epoch(val) [66][ 20/196] eta: 0:02:03 time: 0.6870 data_time: 0.0007 memory: 4673 +2024/02/13 11:57:06 - mmengine - INFO - Epoch(val) [66][ 30/196] eta: 0:01:55 time: 0.6866 data_time: 0.0005 memory: 4673 +2024/02/13 11:57:13 - mmengine - INFO - Epoch(val) [66][ 40/196] eta: 0:01:48 time: 0.6868 data_time: 0.0007 memory: 4673 +2024/02/13 11:57:20 - mmengine - INFO - Epoch(val) [66][ 50/196] eta: 0:01:41 time: 0.6869 data_time: 0.0005 memory: 4673 +2024/02/13 11:57:26 - mmengine - INFO - Epoch(val) [66][ 60/196] eta: 0:01:34 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/13 11:57:33 - mmengine - INFO - Epoch(val) [66][ 70/196] eta: 0:01:27 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 11:57:40 - mmengine - INFO - Epoch(val) [66][ 80/196] eta: 0:01:20 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 11:57:47 - mmengine - INFO - Epoch(val) [66][ 90/196] eta: 0:01:13 time: 0.6871 data_time: 0.0005 memory: 4673 +2024/02/13 11:57:54 - mmengine - INFO - Epoch(val) [66][100/196] eta: 0:01:06 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 11:58:01 - mmengine - INFO - Epoch(val) [66][110/196] eta: 0:00:59 time: 0.6870 data_time: 0.0005 memory: 4673 +2024/02/13 11:58:08 - mmengine - INFO - Epoch(val) [66][120/196] eta: 0:00:52 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/13 11:58:14 - mmengine - INFO - Epoch(val) [66][130/196] eta: 0:00:45 time: 0.6870 data_time: 0.0005 memory: 4673 +2024/02/13 11:58:21 - mmengine - INFO - Epoch(val) [66][140/196] eta: 0:00:38 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/13 11:58:28 - mmengine - INFO - Epoch(val) [66][150/196] eta: 0:00:31 time: 0.6871 data_time: 0.0005 memory: 4673 +2024/02/13 11:58:35 - mmengine - INFO - Epoch(val) [66][160/196] eta: 0:00:24 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 11:58:42 - mmengine - INFO - Epoch(val) [66][170/196] eta: 0:00:17 time: 0.6875 data_time: 0.0004 memory: 4673 +2024/02/13 11:58:49 - mmengine - INFO - Epoch(val) [66][180/196] eta: 0:00:11 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 11:58:56 - mmengine - INFO - Epoch(val) [66][190/196] eta: 0:00:04 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 11:59:09 - mmengine - INFO - Epoch(val) [66][196/196] accuracy/top1: 76.4140 accuracy/top5: 92.4180 data_time: 0.0017 time: 0.6838 +2024/02/13 12:00:49 - mmengine - INFO - Epoch(train) [67][10/78] lr: 1.3074e+00 eta: 4:19:03 time: 9.9891 data_time: 1.2628 memory: 41551 loss: 0.9977 +2024/02/13 12:02:10 - mmengine - INFO - Epoch(train) [67][20/78] lr: 1.2944e+00 eta: 4:17:39 time: 8.1453 data_time: 0.0037 memory: 41551 loss: 1.0033 +2024/02/13 12:03:32 - mmengine - INFO - Epoch(train) [67][30/78] lr: 1.2815e+00 eta: 4:16:14 time: 8.1476 data_time: 0.0044 memory: 41551 loss: 1.0169 +2024/02/13 12:04:53 - mmengine - INFO - Epoch(train) [67][40/78] lr: 1.2686e+00 eta: 4:14:50 time: 8.1595 data_time: 0.0043 memory: 41551 loss: 1.0117 +2024/02/13 12:06:15 - mmengine - INFO - Epoch(train) [67][50/78] lr: 1.2558e+00 eta: 4:13:26 time: 8.1486 data_time: 0.0041 memory: 41551 loss: 0.9857 +2024/02/13 12:07:36 - mmengine - INFO - Epoch(train) [67][60/78] lr: 1.2430e+00 eta: 4:12:02 time: 8.1571 data_time: 0.0042 memory: 41551 loss: 1.0025 +2024/02/13 12:08:58 - mmengine - INFO - Epoch(train) [67][70/78] lr: 1.2303e+00 eta: 4:10:38 time: 8.1582 data_time: 0.0046 memory: 41551 loss: 1.0009 +2024/02/13 12:10:03 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 12:10:03 - mmengine - INFO - Saving checkpoint at 67 epochs +2024/02/13 12:10:32 - mmengine - INFO - Epoch(val) [67][ 10/196] eta: 0:02:12 time: 0.7114 data_time: 0.0220 memory: 41551 +2024/02/13 12:10:39 - mmengine - INFO - Epoch(val) [67][ 20/196] eta: 0:02:03 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 12:10:46 - mmengine - INFO - Epoch(val) [67][ 30/196] eta: 0:01:55 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 12:10:53 - mmengine - INFO - Epoch(val) [67][ 40/196] eta: 0:01:48 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 12:10:59 - mmengine - INFO - Epoch(val) [67][ 50/196] eta: 0:01:41 time: 0.6882 data_time: 0.0006 memory: 4673 +2024/02/13 12:11:06 - mmengine - INFO - Epoch(val) [67][ 60/196] eta: 0:01:34 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 12:11:13 - mmengine - INFO - Epoch(val) [67][ 70/196] eta: 0:01:27 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 12:11:20 - mmengine - INFO - Epoch(val) [67][ 80/196] eta: 0:01:20 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 12:11:27 - mmengine - INFO - Epoch(val) [67][ 90/196] eta: 0:01:13 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 12:11:34 - mmengine - INFO - Epoch(val) [67][100/196] eta: 0:01:06 time: 0.6885 data_time: 0.0012 memory: 4673 +2024/02/13 12:11:41 - mmengine - INFO - Epoch(val) [67][110/196] eta: 0:00:59 time: 0.6882 data_time: 0.0006 memory: 4673 +2024/02/13 12:11:48 - mmengine - INFO - Epoch(val) [67][120/196] eta: 0:00:52 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 12:11:55 - mmengine - INFO - Epoch(val) [67][130/196] eta: 0:00:45 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 12:12:01 - mmengine - INFO - Epoch(val) [67][140/196] eta: 0:00:38 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 12:12:08 - mmengine - INFO - Epoch(val) [67][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 12:12:15 - mmengine - INFO - Epoch(val) [67][160/196] eta: 0:00:24 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 12:12:22 - mmengine - INFO - Epoch(val) [67][170/196] eta: 0:00:17 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 12:12:29 - mmengine - INFO - Epoch(val) [67][180/196] eta: 0:00:11 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 12:12:36 - mmengine - INFO - Epoch(val) [67][190/196] eta: 0:00:04 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/13 12:12:49 - mmengine - INFO - Epoch(val) [67][196/196] accuracy/top1: 76.6740 accuracy/top5: 92.4560 data_time: 0.0017 time: 0.6844 +2024/02/13 12:14:23 - mmengine - INFO - Epoch(train) [68][10/78] lr: 1.2075e+00 eta: 4:08:11 time: 9.4479 data_time: 1.2814 memory: 41551 loss: 0.9941 +2024/02/13 12:15:45 - mmengine - INFO - Epoch(train) [68][20/78] lr: 1.1950e+00 eta: 4:06:47 time: 8.1438 data_time: 0.0039 memory: 41551 loss: 0.9907 +2024/02/13 12:17:06 - mmengine - INFO - Epoch(train) [68][30/78] lr: 1.1824e+00 eta: 4:05:23 time: 8.1362 data_time: 0.0050 memory: 41551 loss: 0.9760 +2024/02/13 12:18:28 - mmengine - INFO - Epoch(train) [68][40/78] lr: 1.1699e+00 eta: 4:03:58 time: 8.1541 data_time: 0.0040 memory: 41551 loss: 1.0004 +2024/02/13 12:19:49 - mmengine - INFO - Epoch(train) [68][50/78] lr: 1.1575e+00 eta: 4:02:34 time: 8.1419 data_time: 0.0039 memory: 41551 loss: 0.9899 +2024/02/13 12:21:10 - mmengine - INFO - Epoch(train) [68][60/78] lr: 1.1451e+00 eta: 4:01:10 time: 8.1498 data_time: 0.0040 memory: 41551 loss: 0.9954 +2024/02/13 12:22:32 - mmengine - INFO - Epoch(train) [68][70/78] lr: 1.1328e+00 eta: 3:59:46 time: 8.1509 data_time: 0.0044 memory: 41551 loss: 1.0057 +2024/02/13 12:23:37 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 12:23:37 - mmengine - INFO - Saving checkpoint at 68 epochs +2024/02/13 12:24:06 - mmengine - INFO - Epoch(val) [68][ 10/196] eta: 0:02:12 time: 0.7140 data_time: 0.0236 memory: 41551 +2024/02/13 12:24:13 - mmengine - INFO - Epoch(val) [68][ 20/196] eta: 0:02:03 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 12:24:20 - mmengine - INFO - Epoch(val) [68][ 30/196] eta: 0:01:55 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 12:24:26 - mmengine - INFO - Epoch(val) [68][ 40/196] eta: 0:01:48 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 12:24:33 - mmengine - INFO - Epoch(val) [68][ 50/196] eta: 0:01:41 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 12:24:40 - mmengine - INFO - Epoch(val) [68][ 60/196] eta: 0:01:34 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 12:24:47 - mmengine - INFO - Epoch(val) [68][ 70/196] eta: 0:01:27 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 12:24:54 - mmengine - INFO - Epoch(val) [68][ 80/196] eta: 0:01:20 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 12:25:01 - mmengine - INFO - Epoch(val) [68][ 90/196] eta: 0:01:13 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 12:25:08 - mmengine - INFO - Epoch(val) [68][100/196] eta: 0:01:06 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 12:25:15 - mmengine - INFO - Epoch(val) [68][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 12:25:22 - mmengine - INFO - Epoch(val) [68][120/196] eta: 0:00:52 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 12:25:28 - mmengine - INFO - Epoch(val) [68][130/196] eta: 0:00:45 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 12:25:35 - mmengine - INFO - Epoch(val) [68][140/196] eta: 0:00:38 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 12:25:42 - mmengine - INFO - Epoch(val) [68][150/196] eta: 0:00:31 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 12:25:49 - mmengine - INFO - Epoch(val) [68][160/196] eta: 0:00:24 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 12:25:56 - mmengine - INFO - Epoch(val) [68][170/196] eta: 0:00:17 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/13 12:26:03 - mmengine - INFO - Epoch(val) [68][180/196] eta: 0:00:11 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 12:26:10 - mmengine - INFO - Epoch(val) [68][190/196] eta: 0:00:04 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 12:26:23 - mmengine - INFO - Epoch(val) [68][196/196] accuracy/top1: 76.4940 accuracy/top5: 92.4580 data_time: 0.0018 time: 0.6844 +2024/02/13 12:27:57 - mmengine - INFO - Epoch(train) [69][10/78] lr: 1.1108e+00 eta: 3:57:19 time: 9.4220 data_time: 1.2775 memory: 41551 loss: 0.9782 +2024/02/13 12:29:18 - mmengine - INFO - Epoch(train) [69][20/78] lr: 1.0986e+00 eta: 3:55:55 time: 8.1491 data_time: 0.0039 memory: 41551 loss: 0.9767 +2024/02/13 12:30:40 - mmengine - INFO - Epoch(train) [69][30/78] lr: 1.0865e+00 eta: 3:54:31 time: 8.1495 data_time: 0.0046 memory: 41551 loss: 0.9985 +2024/02/13 12:32:01 - mmengine - INFO - Epoch(train) [69][40/78] lr: 1.0744e+00 eta: 3:53:07 time: 8.1561 data_time: 0.0052 memory: 41551 loss: 0.9839 +2024/02/13 12:33:23 - mmengine - INFO - Epoch(train) [69][50/78] lr: 1.0624e+00 eta: 3:51:43 time: 8.1501 data_time: 0.0042 memory: 41551 loss: 0.9793 +2024/02/13 12:34:45 - mmengine - INFO - Epoch(train) [69][60/78] lr: 1.0504e+00 eta: 3:50:19 time: 8.1581 data_time: 0.0039 memory: 41551 loss: 0.9939 +2024/02/13 12:36:06 - mmengine - INFO - Epoch(train) [69][70/78] lr: 1.0385e+00 eta: 3:48:54 time: 8.1510 data_time: 0.0045 memory: 41551 loss: 0.9743 +2024/02/13 12:37:11 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 12:37:11 - mmengine - INFO - Saving checkpoint at 69 epochs +2024/02/13 12:37:40 - mmengine - INFO - Epoch(val) [69][ 10/196] eta: 0:02:13 time: 0.7156 data_time: 0.0245 memory: 41551 +2024/02/13 12:37:47 - mmengine - INFO - Epoch(val) [69][ 20/196] eta: 0:02:03 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 12:37:54 - mmengine - INFO - Epoch(val) [69][ 30/196] eta: 0:01:55 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 12:38:00 - mmengine - INFO - Epoch(val) [69][ 40/196] eta: 0:01:48 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 12:38:07 - mmengine - INFO - Epoch(val) [69][ 50/196] eta: 0:01:41 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 12:38:14 - mmengine - INFO - Epoch(val) [69][ 60/196] eta: 0:01:34 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 12:38:21 - mmengine - INFO - Epoch(val) [69][ 70/196] eta: 0:01:27 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 12:38:28 - mmengine - INFO - Epoch(val) [69][ 80/196] eta: 0:01:20 time: 0.6879 data_time: 0.0011 memory: 4673 +2024/02/13 12:38:35 - mmengine - INFO - Epoch(val) [69][ 90/196] eta: 0:01:13 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 12:38:42 - mmengine - INFO - Epoch(val) [69][100/196] eta: 0:01:06 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 12:38:49 - mmengine - INFO - Epoch(val) [69][110/196] eta: 0:00:59 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 12:38:55 - mmengine - INFO - Epoch(val) [69][120/196] eta: 0:00:52 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 12:39:02 - mmengine - INFO - Epoch(val) [69][130/196] eta: 0:00:45 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 12:39:09 - mmengine - INFO - Epoch(val) [69][140/196] eta: 0:00:38 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 12:39:16 - mmengine - INFO - Epoch(val) [69][150/196] eta: 0:00:31 time: 0.6883 data_time: 0.0013 memory: 4673 +2024/02/13 12:39:23 - mmengine - INFO - Epoch(val) [69][160/196] eta: 0:00:24 time: 0.6883 data_time: 0.0013 memory: 4673 +2024/02/13 12:39:30 - mmengine - INFO - Epoch(val) [69][170/196] eta: 0:00:17 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 12:39:37 - mmengine - INFO - Epoch(val) [69][180/196] eta: 0:00:11 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 12:39:44 - mmengine - INFO - Epoch(val) [69][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 12:39:57 - mmengine - INFO - Epoch(val) [69][196/196] accuracy/top1: 76.5640 accuracy/top5: 92.5100 data_time: 0.0019 time: 0.6844 +2024/02/13 12:41:31 - mmengine - INFO - Epoch(train) [70][10/78] lr: 1.0172e+00 eta: 3:46:27 time: 9.4512 data_time: 1.3093 memory: 41551 loss: 0.9960 +2024/02/13 12:42:52 - mmengine - INFO - Epoch(train) [70][20/78] lr: 1.0055e+00 eta: 3:45:03 time: 8.1236 data_time: 0.0040 memory: 41551 loss: 0.9715 +2024/02/13 12:44:14 - mmengine - INFO - Epoch(train) [70][30/78] lr: 9.9376e-01 eta: 3:43:39 time: 8.1459 data_time: 0.0042 memory: 41551 loss: 1.0193 +2024/02/13 12:45:35 - mmengine - INFO - Epoch(train) [70][40/78] lr: 9.8212e-01 eta: 3:42:15 time: 8.1422 data_time: 0.0040 memory: 41551 loss: 0.9754 +2024/02/13 12:46:57 - mmengine - INFO - Epoch(train) [70][50/78] lr: 9.7054e-01 eta: 3:40:51 time: 8.1285 data_time: 0.0043 memory: 41551 loss: 1.0098 +2024/02/13 12:48:18 - mmengine - INFO - Epoch(train) [70][60/78] lr: 9.5901e-01 eta: 3:39:27 time: 8.1412 data_time: 0.0040 memory: 41551 loss: 0.9828 +2024/02/13 12:49:39 - mmengine - INFO - Epoch(train) [70][70/78] lr: 9.4753e-01 eta: 3:38:03 time: 8.1447 data_time: 0.0047 memory: 41551 loss: 1.0097 +2024/02/13 12:50:44 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 12:50:44 - mmengine - INFO - Saving checkpoint at 70 epochs +2024/02/13 12:51:13 - mmengine - INFO - Epoch(val) [70][ 10/196] eta: 0:02:12 time: 0.7120 data_time: 0.0216 memory: 41551 +2024/02/13 12:51:20 - mmengine - INFO - Epoch(val) [70][ 20/196] eta: 0:02:03 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 12:51:27 - mmengine - INFO - Epoch(val) [70][ 30/196] eta: 0:01:55 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 12:51:34 - mmengine - INFO - Epoch(val) [70][ 40/196] eta: 0:01:48 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 12:51:41 - mmengine - INFO - Epoch(val) [70][ 50/196] eta: 0:01:41 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 12:51:48 - mmengine - INFO - Epoch(val) [70][ 60/196] eta: 0:01:34 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 12:51:55 - mmengine - INFO - Epoch(val) [70][ 70/196] eta: 0:01:27 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 12:52:01 - mmengine - INFO - Epoch(val) [70][ 80/196] eta: 0:01:20 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 12:52:08 - mmengine - INFO - Epoch(val) [70][ 90/196] eta: 0:01:13 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 12:52:15 - mmengine - INFO - Epoch(val) [70][100/196] eta: 0:01:06 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 12:52:22 - mmengine - INFO - Epoch(val) [70][110/196] eta: 0:00:59 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 12:52:29 - mmengine - INFO - Epoch(val) [70][120/196] eta: 0:00:52 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 12:52:36 - mmengine - INFO - Epoch(val) [70][130/196] eta: 0:00:45 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 12:52:43 - mmengine - INFO - Epoch(val) [70][140/196] eta: 0:00:38 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 12:52:50 - mmengine - INFO - Epoch(val) [70][150/196] eta: 0:00:31 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 12:52:57 - mmengine - INFO - Epoch(val) [70][160/196] eta: 0:00:24 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 12:53:03 - mmengine - INFO - Epoch(val) [70][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 12:53:10 - mmengine - INFO - Epoch(val) [70][180/196] eta: 0:00:11 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 12:53:17 - mmengine - INFO - Epoch(val) [70][190/196] eta: 0:00:04 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 12:53:30 - mmengine - INFO - Epoch(val) [70][196/196] accuracy/top1: 76.7840 accuracy/top5: 92.4920 data_time: 0.0017 time: 0.6844 +2024/02/13 12:55:04 - mmengine - INFO - Epoch(train) [71][10/78] lr: 9.2703e-01 eta: 3:35:35 time: 9.4353 data_time: 1.3179 memory: 41551 loss: 0.9838 +2024/02/13 12:56:26 - mmengine - INFO - Epoch(train) [71][20/78] lr: 9.1572e-01 eta: 3:34:11 time: 8.1368 data_time: 0.0047 memory: 41551 loss: 0.9543 +2024/02/13 12:57:47 - mmengine - INFO - Epoch(train) [71][30/78] lr: 9.0446e-01 eta: 3:32:47 time: 8.1415 data_time: 0.0044 memory: 41551 loss: 0.9804 +2024/02/13 12:59:09 - mmengine - INFO - Epoch(train) [71][40/78] lr: 8.9327e-01 eta: 3:31:23 time: 8.1516 data_time: 0.0040 memory: 41551 loss: 0.9684 +2024/02/13 13:00:30 - mmengine - INFO - Epoch(train) [71][50/78] lr: 8.8213e-01 eta: 3:29:59 time: 8.1647 data_time: 0.0047 memory: 41551 loss: 0.9933 +2024/02/13 13:01:52 - mmengine - INFO - Epoch(train) [71][60/78] lr: 8.7105e-01 eta: 3:28:35 time: 8.1663 data_time: 0.0043 memory: 41551 loss: 0.9817 +2024/02/13 13:03:13 - mmengine - INFO - Epoch(train) [71][70/78] lr: 8.6003e-01 eta: 3:27:11 time: 8.1514 data_time: 0.0046 memory: 41551 loss: 0.9754 +2024/02/13 13:04:19 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 13:04:19 - mmengine - INFO - Saving checkpoint at 71 epochs +2024/02/13 13:04:47 - mmengine - INFO - Epoch(val) [71][ 10/196] eta: 0:02:12 time: 0.7111 data_time: 0.0217 memory: 41551 +2024/02/13 13:04:54 - mmengine - INFO - Epoch(val) [71][ 20/196] eta: 0:02:03 time: 0.6878 data_time: 0.0014 memory: 4673 +2024/02/13 13:05:01 - mmengine - INFO - Epoch(val) [71][ 30/196] eta: 0:01:55 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 13:05:08 - mmengine - INFO - Epoch(val) [71][ 40/196] eta: 0:01:48 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/13 13:05:15 - mmengine - INFO - Epoch(val) [71][ 50/196] eta: 0:01:41 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 13:05:22 - mmengine - INFO - Epoch(val) [71][ 60/196] eta: 0:01:34 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 13:05:28 - mmengine - INFO - Epoch(val) [71][ 70/196] eta: 0:01:27 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 13:05:35 - mmengine - INFO - Epoch(val) [71][ 80/196] eta: 0:01:20 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 13:05:42 - mmengine - INFO - Epoch(val) [71][ 90/196] eta: 0:01:13 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/13 13:05:49 - mmengine - INFO - Epoch(val) [71][100/196] eta: 0:01:06 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 13:05:56 - mmengine - INFO - Epoch(val) [71][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 13:06:03 - mmengine - INFO - Epoch(val) [71][120/196] eta: 0:00:52 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 13:06:10 - mmengine - INFO - Epoch(val) [71][130/196] eta: 0:00:45 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 13:06:17 - mmengine - INFO - Epoch(val) [71][140/196] eta: 0:00:38 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 13:06:24 - mmengine - INFO - Epoch(val) [71][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 13:06:30 - mmengine - INFO - Epoch(val) [71][160/196] eta: 0:00:24 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 13:06:37 - mmengine - INFO - Epoch(val) [71][170/196] eta: 0:00:17 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 13:06:44 - mmengine - INFO - Epoch(val) [71][180/196] eta: 0:00:11 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 13:06:51 - mmengine - INFO - Epoch(val) [71][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 13:07:04 - mmengine - INFO - Epoch(val) [71][196/196] accuracy/top1: 76.7820 accuracy/top5: 92.5820 data_time: 0.0018 time: 0.6842 +2024/02/13 13:08:44 - mmengine - INFO - Epoch(train) [72][10/78] lr: 8.4035e-01 eta: 3:24:45 time: 9.9565 data_time: 1.8414 memory: 41551 loss: 0.9545 +2024/02/13 13:10:05 - mmengine - INFO - Epoch(train) [72][20/78] lr: 8.2950e-01 eta: 3:23:21 time: 8.1615 data_time: 0.0044 memory: 41551 loss: 0.9577 +2024/02/13 13:11:27 - mmengine - INFO - Epoch(train) [72][30/78] lr: 8.1871e-01 eta: 3:21:57 time: 8.1584 data_time: 0.0043 memory: 41551 loss: 0.9530 +2024/02/13 13:12:48 - mmengine - INFO - Epoch(train) [72][40/78] lr: 8.0797e-01 eta: 3:20:33 time: 8.1506 data_time: 0.0045 memory: 41551 loss: 1.0001 +2024/02/13 13:14:10 - mmengine - INFO - Epoch(train) [72][50/78] lr: 7.9730e-01 eta: 3:19:09 time: 8.1427 data_time: 0.0045 memory: 41551 loss: 0.9643 +2024/02/13 13:15:31 - mmengine - INFO - Epoch(train) [72][60/78] lr: 7.8669e-01 eta: 3:17:45 time: 8.1409 data_time: 0.0045 memory: 41551 loss: 0.9691 +2024/02/13 13:16:52 - mmengine - INFO - Epoch(train) [72][70/78] lr: 7.7614e-01 eta: 3:16:21 time: 8.1395 data_time: 0.0042 memory: 41551 loss: 0.9869 +2024/02/13 13:17:58 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 13:17:58 - mmengine - INFO - Saving checkpoint at 72 epochs +2024/02/13 13:18:27 - mmengine - INFO - Epoch(val) [72][ 10/196] eta: 0:02:12 time: 0.7134 data_time: 0.0234 memory: 41551 +2024/02/13 13:18:34 - mmengine - INFO - Epoch(val) [72][ 20/196] eta: 0:02:03 time: 0.6876 data_time: 0.0008 memory: 4673 +2024/02/13 13:18:41 - mmengine - INFO - Epoch(val) [72][ 30/196] eta: 0:01:55 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 13:18:47 - mmengine - INFO - Epoch(val) [72][ 40/196] eta: 0:01:48 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 13:18:54 - mmengine - INFO - Epoch(val) [72][ 50/196] eta: 0:01:41 time: 0.6870 data_time: 0.0005 memory: 4673 +2024/02/13 13:19:01 - mmengine - INFO - Epoch(val) [72][ 60/196] eta: 0:01:34 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/13 13:19:08 - mmengine - INFO - Epoch(val) [72][ 70/196] eta: 0:01:27 time: 0.6870 data_time: 0.0006 memory: 4673 +2024/02/13 13:19:15 - mmengine - INFO - Epoch(val) [72][ 80/196] eta: 0:01:20 time: 0.6870 data_time: 0.0007 memory: 4673 +2024/02/13 13:19:22 - mmengine - INFO - Epoch(val) [72][ 90/196] eta: 0:01:13 time: 0.6867 data_time: 0.0005 memory: 4673 +2024/02/13 13:19:29 - mmengine - INFO - Epoch(val) [72][100/196] eta: 0:01:06 time: 0.6869 data_time: 0.0006 memory: 4673 +2024/02/13 13:19:36 - mmengine - INFO - Epoch(val) [72][110/196] eta: 0:00:59 time: 0.6869 data_time: 0.0005 memory: 4673 +2024/02/13 13:19:42 - mmengine - INFO - Epoch(val) [72][120/196] eta: 0:00:52 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 13:19:49 - mmengine - INFO - Epoch(val) [72][130/196] eta: 0:00:45 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 13:19:56 - mmengine - INFO - Epoch(val) [72][140/196] eta: 0:00:38 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 13:20:03 - mmengine - INFO - Epoch(val) [72][150/196] eta: 0:00:31 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 13:20:10 - mmengine - INFO - Epoch(val) [72][160/196] eta: 0:00:24 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 13:20:17 - mmengine - INFO - Epoch(val) [72][170/196] eta: 0:00:17 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 13:20:24 - mmengine - INFO - Epoch(val) [72][180/196] eta: 0:00:11 time: 0.6873 data_time: 0.0004 memory: 4673 +2024/02/13 13:20:30 - mmengine - INFO - Epoch(val) [72][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 13:20:43 - mmengine - INFO - Epoch(val) [72][196/196] accuracy/top1: 76.7620 accuracy/top5: 92.5640 data_time: 0.0017 time: 0.6839 +2024/02/13 13:22:24 - mmengine - INFO - Epoch(train) [73][10/78] lr: 7.5731e-01 eta: 3:13:55 time: 10.0207 data_time: 1.2353 memory: 41551 loss: 0.9751 +2024/02/13 13:23:45 - mmengine - INFO - Epoch(train) [73][20/78] lr: 7.4693e-01 eta: 3:12:31 time: 8.1402 data_time: 0.0037 memory: 41551 loss: 0.9669 +2024/02/13 13:25:06 - mmengine - INFO - Epoch(train) [73][30/78] lr: 7.3662e-01 eta: 3:11:07 time: 8.1438 data_time: 0.0041 memory: 41551 loss: 0.9808 +2024/02/13 13:26:28 - mmengine - INFO - Epoch(train) [73][40/78] lr: 7.2637e-01 eta: 3:09:43 time: 8.1405 data_time: 0.0044 memory: 41551 loss: 0.9625 +2024/02/13 13:27:49 - mmengine - INFO - Epoch(train) [73][50/78] lr: 7.1618e-01 eta: 3:08:19 time: 8.1459 data_time: 0.0044 memory: 41551 loss: 0.9820 +2024/02/13 13:29:11 - mmengine - INFO - Epoch(train) [73][60/78] lr: 7.0605e-01 eta: 3:06:55 time: 8.1542 data_time: 0.0042 memory: 41551 loss: 0.9705 +2024/02/13 13:30:32 - mmengine - INFO - Epoch(train) [73][70/78] lr: 6.9599e-01 eta: 3:05:31 time: 8.1519 data_time: 0.0043 memory: 41551 loss: 1.0023 +2024/02/13 13:31:37 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 13:31:37 - mmengine - INFO - Saving checkpoint at 73 epochs +2024/02/13 13:32:06 - mmengine - INFO - Epoch(val) [73][ 10/196] eta: 0:02:12 time: 0.7120 data_time: 0.0220 memory: 41551 +2024/02/13 13:32:13 - mmengine - INFO - Epoch(val) [73][ 20/196] eta: 0:02:03 time: 0.6870 data_time: 0.0007 memory: 4673 +2024/02/13 13:32:20 - mmengine - INFO - Epoch(val) [73][ 30/196] eta: 0:01:55 time: 0.6868 data_time: 0.0005 memory: 4673 +2024/02/13 13:32:27 - mmengine - INFO - Epoch(val) [73][ 40/196] eta: 0:01:48 time: 0.6870 data_time: 0.0007 memory: 4673 +2024/02/13 13:32:34 - mmengine - INFO - Epoch(val) [73][ 50/196] eta: 0:01:41 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 13:32:40 - mmengine - INFO - Epoch(val) [73][ 60/196] eta: 0:01:34 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 13:32:47 - mmengine - INFO - Epoch(val) [73][ 70/196] eta: 0:01:27 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 13:32:54 - mmengine - INFO - Epoch(val) [73][ 80/196] eta: 0:01:20 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 13:33:01 - mmengine - INFO - Epoch(val) [73][ 90/196] eta: 0:01:13 time: 0.6870 data_time: 0.0005 memory: 4673 +2024/02/13 13:33:08 - mmengine - INFO - Epoch(val) [73][100/196] eta: 0:01:06 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 13:33:15 - mmengine - INFO - Epoch(val) [73][110/196] eta: 0:00:59 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 13:33:22 - mmengine - INFO - Epoch(val) [73][120/196] eta: 0:00:52 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 13:33:29 - mmengine - INFO - Epoch(val) [73][130/196] eta: 0:00:45 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/13 13:33:35 - mmengine - INFO - Epoch(val) [73][140/196] eta: 0:00:38 time: 0.6874 data_time: 0.0008 memory: 4673 +2024/02/13 13:33:42 - mmengine - INFO - Epoch(val) [73][150/196] eta: 0:00:31 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 13:33:49 - mmengine - INFO - Epoch(val) [73][160/196] eta: 0:00:24 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 13:33:56 - mmengine - INFO - Epoch(val) [73][170/196] eta: 0:00:17 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 13:34:03 - mmengine - INFO - Epoch(val) [73][180/196] eta: 0:00:11 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/13 13:34:10 - mmengine - INFO - Epoch(val) [73][190/196] eta: 0:00:04 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/13 13:34:23 - mmengine - INFO - Epoch(val) [73][196/196] accuracy/top1: 76.8240 accuracy/top5: 92.5900 data_time: 0.0017 time: 0.6839 +2024/02/13 13:35:57 - mmengine - INFO - Epoch(train) [74][10/78] lr: 6.7803e-01 eta: 3:03:03 time: 9.4384 data_time: 1.2903 memory: 41551 loss: 0.9638 +2024/02/13 13:37:18 - mmengine - INFO - Epoch(train) [74][20/78] lr: 6.6815e-01 eta: 3:01:39 time: 8.1230 data_time: 0.0042 memory: 41551 loss: 0.9763 +2024/02/13 13:38:40 - mmengine - INFO - Epoch(train) [74][30/78] lr: 6.5833e-01 eta: 3:00:15 time: 8.1514 data_time: 0.0042 memory: 41551 loss: 0.9695 +2024/02/13 13:40:01 - mmengine - INFO - Epoch(train) [74][40/78] lr: 6.4857e-01 eta: 2:58:51 time: 8.1427 data_time: 0.0042 memory: 41551 loss: 0.9556 +2024/02/13 13:41:23 - mmengine - INFO - Epoch(train) [74][50/78] lr: 6.3888e-01 eta: 2:57:27 time: 8.1459 data_time: 0.0039 memory: 41551 loss: 0.9651 +2024/02/13 13:42:44 - mmengine - INFO - Epoch(train) [74][60/78] lr: 6.2926e-01 eta: 2:56:04 time: 8.1496 data_time: 0.0040 memory: 41551 loss: 0.9831 +2024/02/13 13:44:06 - mmengine - INFO - Epoch(train) [74][70/78] lr: 6.1969e-01 eta: 2:54:40 time: 8.1450 data_time: 0.0048 memory: 41551 loss: 0.9764 +2024/02/13 13:45:11 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 13:45:11 - mmengine - INFO - Saving checkpoint at 74 epochs +2024/02/13 13:45:39 - mmengine - INFO - Epoch(val) [74][ 10/196] eta: 0:02:12 time: 0.7116 data_time: 0.0219 memory: 41551 +2024/02/13 13:45:46 - mmengine - INFO - Epoch(val) [74][ 20/196] eta: 0:02:03 time: 0.6869 data_time: 0.0006 memory: 4673 +2024/02/13 13:45:53 - mmengine - INFO - Epoch(val) [74][ 30/196] eta: 0:01:55 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/13 13:46:00 - mmengine - INFO - Epoch(val) [74][ 40/196] eta: 0:01:48 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 13:46:07 - mmengine - INFO - Epoch(val) [74][ 50/196] eta: 0:01:41 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 13:46:14 - mmengine - INFO - Epoch(val) [74][ 60/196] eta: 0:01:34 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 13:46:21 - mmengine - INFO - Epoch(val) [74][ 70/196] eta: 0:01:27 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 13:46:28 - mmengine - INFO - Epoch(val) [74][ 80/196] eta: 0:01:20 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 13:46:34 - mmengine - INFO - Epoch(val) [74][ 90/196] eta: 0:01:13 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 13:46:41 - mmengine - INFO - Epoch(val) [74][100/196] eta: 0:01:06 time: 0.6870 data_time: 0.0006 memory: 4673 +2024/02/13 13:46:48 - mmengine - INFO - Epoch(val) [74][110/196] eta: 0:00:59 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 13:46:55 - mmengine - INFO - Epoch(val) [74][120/196] eta: 0:00:52 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 13:47:02 - mmengine - INFO - Epoch(val) [74][130/196] eta: 0:00:45 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 13:47:09 - mmengine - INFO - Epoch(val) [74][140/196] eta: 0:00:38 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 13:47:16 - mmengine - INFO - Epoch(val) [74][150/196] eta: 0:00:31 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/13 13:47:23 - mmengine - INFO - Epoch(val) [74][160/196] eta: 0:00:24 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 13:47:29 - mmengine - INFO - Epoch(val) [74][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 13:47:36 - mmengine - INFO - Epoch(val) [74][180/196] eta: 0:00:11 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 13:47:43 - mmengine - INFO - Epoch(val) [74][190/196] eta: 0:00:04 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 13:47:56 - mmengine - INFO - Epoch(val) [74][196/196] accuracy/top1: 76.9640 accuracy/top5: 92.6260 data_time: 0.0017 time: 0.6839 +2024/02/13 13:49:31 - mmengine - INFO - Epoch(train) [75][10/78] lr: 6.0265e-01 eta: 2:52:11 time: 9.4422 data_time: 1.3201 memory: 41551 loss: 0.9462 +2024/02/13 13:50:52 - mmengine - INFO - Epoch(train) [75][20/78] lr: 5.9327e-01 eta: 2:50:48 time: 8.1327 data_time: 0.0043 memory: 41551 loss: 0.9651 +2024/02/13 13:52:13 - mmengine - INFO - Epoch(train) [75][30/78] lr: 5.8396e-01 eta: 2:49:24 time: 8.1466 data_time: 0.0038 memory: 41551 loss: 0.9562 +2024/02/13 13:53:35 - mmengine - INFO - Epoch(train) [75][40/78] lr: 5.7472e-01 eta: 2:48:00 time: 8.1474 data_time: 0.0041 memory: 41551 loss: 0.9698 +2024/02/13 13:54:56 - mmengine - INFO - Epoch(train) [75][50/78] lr: 5.6554e-01 eta: 2:46:36 time: 8.1457 data_time: 0.0044 memory: 41551 loss: 0.9547 +2024/02/13 13:56:18 - mmengine - INFO - Epoch(train) [75][60/78] lr: 5.5642e-01 eta: 2:45:12 time: 8.1452 data_time: 0.0039 memory: 41551 loss: 0.9634 +2024/02/13 13:57:39 - mmengine - INFO - Epoch(train) [75][70/78] lr: 5.4738e-01 eta: 2:43:48 time: 8.1472 data_time: 0.0045 memory: 41551 loss: 0.9698 +2024/02/13 13:58:44 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 13:58:44 - mmengine - INFO - Saving checkpoint at 75 epochs +2024/02/13 13:59:13 - mmengine - INFO - Epoch(val) [75][ 10/196] eta: 0:02:12 time: 0.7119 data_time: 0.0233 memory: 41551 +2024/02/13 13:59:20 - mmengine - INFO - Epoch(val) [75][ 20/196] eta: 0:02:03 time: 0.6869 data_time: 0.0006 memory: 4673 +2024/02/13 13:59:27 - mmengine - INFO - Epoch(val) [75][ 30/196] eta: 0:01:55 time: 0.6870 data_time: 0.0007 memory: 4673 +2024/02/13 13:59:34 - mmengine - INFO - Epoch(val) [75][ 40/196] eta: 0:01:48 time: 0.6871 data_time: 0.0007 memory: 4673 +2024/02/13 13:59:40 - mmengine - INFO - Epoch(val) [75][ 50/196] eta: 0:01:41 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 13:59:47 - mmengine - INFO - Epoch(val) [75][ 60/196] eta: 0:01:34 time: 0.6882 data_time: 0.0012 memory: 4673 +2024/02/13 13:59:54 - mmengine - INFO - Epoch(val) [75][ 70/196] eta: 0:01:27 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 14:00:01 - mmengine - INFO - Epoch(val) [75][ 80/196] eta: 0:01:20 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 14:00:08 - mmengine - INFO - Epoch(val) [75][ 90/196] eta: 0:01:13 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 14:00:15 - mmengine - INFO - Epoch(val) [75][100/196] eta: 0:01:06 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 14:00:22 - mmengine - INFO - Epoch(val) [75][110/196] eta: 0:00:59 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 14:00:29 - mmengine - INFO - Epoch(val) [75][120/196] eta: 0:00:52 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 14:00:35 - mmengine - INFO - Epoch(val) [75][130/196] eta: 0:00:45 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 14:00:42 - mmengine - INFO - Epoch(val) [75][140/196] eta: 0:00:38 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 14:00:49 - mmengine - INFO - Epoch(val) [75][150/196] eta: 0:00:31 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 14:00:56 - mmengine - INFO - Epoch(val) [75][160/196] eta: 0:00:24 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 14:01:03 - mmengine - INFO - Epoch(val) [75][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 14:01:10 - mmengine - INFO - Epoch(val) [75][180/196] eta: 0:00:11 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 14:01:17 - mmengine - INFO - Epoch(val) [75][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 14:01:30 - mmengine - INFO - Epoch(val) [75][196/196] accuracy/top1: 76.9360 accuracy/top5: 92.6260 data_time: 0.0018 time: 0.6840 +2024/02/13 14:03:09 - mmengine - INFO - Epoch(train) [76][10/78] lr: 5.3127e-01 eta: 2:41:21 time: 9.9334 data_time: 1.8367 memory: 41551 loss: 0.9444 +2024/02/13 14:04:30 - mmengine - INFO - Epoch(train) [76][20/78] lr: 5.2241e-01 eta: 2:39:57 time: 8.1308 data_time: 0.0043 memory: 41551 loss: 0.9814 +2024/02/13 14:05:52 - mmengine - INFO - Epoch(train) [76][30/78] lr: 5.1362e-01 eta: 2:38:33 time: 8.1429 data_time: 0.0044 memory: 41551 loss: 0.9291 +2024/02/13 14:07:13 - mmengine - INFO - Epoch(train) [76][40/78] lr: 5.0490e-01 eta: 2:37:09 time: 8.1345 data_time: 0.0040 memory: 41551 loss: 0.9542 +2024/02/13 14:08:34 - mmengine - INFO - Epoch(train) [76][50/78] lr: 4.9625e-01 eta: 2:35:45 time: 8.1326 data_time: 0.0039 memory: 41551 loss: 0.9735 +2024/02/13 14:09:56 - mmengine - INFO - Epoch(train) [76][60/78] lr: 4.8767e-01 eta: 2:34:22 time: 8.1400 data_time: 0.0044 memory: 41551 loss: 0.9700 +2024/02/13 14:11:17 - mmengine - INFO - Epoch(train) [76][70/78] lr: 4.7916e-01 eta: 2:32:58 time: 8.1501 data_time: 0.0044 memory: 41551 loss: 0.9580 +2024/02/13 14:12:22 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 14:12:22 - mmengine - INFO - Saving checkpoint at 76 epochs +2024/02/13 14:12:51 - mmengine - INFO - Epoch(val) [76][ 10/196] eta: 0:02:12 time: 0.7150 data_time: 0.0234 memory: 41551 +2024/02/13 14:12:58 - mmengine - INFO - Epoch(val) [76][ 20/196] eta: 0:02:03 time: 0.6874 data_time: 0.0008 memory: 4673 +2024/02/13 14:13:05 - mmengine - INFO - Epoch(val) [76][ 30/196] eta: 0:01:55 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 14:13:12 - mmengine - INFO - Epoch(val) [76][ 40/196] eta: 0:01:48 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 14:13:19 - mmengine - INFO - Epoch(val) [76][ 50/196] eta: 0:01:41 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 14:13:25 - mmengine - INFO - Epoch(val) [76][ 60/196] eta: 0:01:34 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 14:13:32 - mmengine - INFO - Epoch(val) [76][ 70/196] eta: 0:01:27 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 14:13:39 - mmengine - INFO - Epoch(val) [76][ 80/196] eta: 0:01:20 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 14:13:46 - mmengine - INFO - Epoch(val) [76][ 90/196] eta: 0:01:13 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/13 14:13:53 - mmengine - INFO - Epoch(val) [76][100/196] eta: 0:01:06 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 14:14:00 - mmengine - INFO - Epoch(val) [76][110/196] eta: 0:00:59 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 14:14:07 - mmengine - INFO - Epoch(val) [76][120/196] eta: 0:00:52 time: 0.6882 data_time: 0.0006 memory: 4673 +2024/02/13 14:14:14 - mmengine - INFO - Epoch(val) [76][130/196] eta: 0:00:45 time: 0.6883 data_time: 0.0007 memory: 4673 +2024/02/13 14:14:20 - mmengine - INFO - Epoch(val) [76][140/196] eta: 0:00:38 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 14:14:27 - mmengine - INFO - Epoch(val) [76][150/196] eta: 0:00:31 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 14:14:34 - mmengine - INFO - Epoch(val) [76][160/196] eta: 0:00:24 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 14:14:41 - mmengine - INFO - Epoch(val) [76][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 14:14:48 - mmengine - INFO - Epoch(val) [76][180/196] eta: 0:00:11 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 14:14:55 - mmengine - INFO - Epoch(val) [76][190/196] eta: 0:00:04 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 14:15:08 - mmengine - INFO - Epoch(val) [76][196/196] accuracy/top1: 76.9900 accuracy/top5: 92.6780 data_time: 0.0018 time: 0.6846 +2024/02/13 14:16:49 - mmengine - INFO - Epoch(train) [77][10/78] lr: 4.6400e-01 eta: 2:30:31 time: 10.1410 data_time: 1.2176 memory: 41551 loss: 0.9304 +2024/02/13 14:18:11 - mmengine - INFO - Epoch(train) [77][20/78] lr: 4.5568e-01 eta: 2:29:07 time: 8.1490 data_time: 0.0043 memory: 41551 loss: 0.9525 +2024/02/13 14:19:32 - mmengine - INFO - Epoch(train) [77][30/78] lr: 4.4743e-01 eta: 2:27:43 time: 8.1442 data_time: 0.0041 memory: 41551 loss: 0.9427 +2024/02/13 14:20:54 - mmengine - INFO - Epoch(train) [77][40/78] lr: 4.3925e-01 eta: 2:26:19 time: 8.1361 data_time: 0.0041 memory: 41551 loss: 0.9416 +2024/02/13 14:22:15 - mmengine - INFO - Epoch(train) [77][50/78] lr: 4.3114e-01 eta: 2:24:55 time: 8.1561 data_time: 0.0042 memory: 41551 loss: 0.9469 +2024/02/13 14:23:37 - mmengine - INFO - Epoch(train) [77][60/78] lr: 4.2310e-01 eta: 2:23:32 time: 8.1517 data_time: 0.0041 memory: 41551 loss: 0.9510 +2024/02/13 14:24:58 - mmengine - INFO - Epoch(train) [77][70/78] lr: 4.1513e-01 eta: 2:22:08 time: 8.1494 data_time: 0.0051 memory: 41551 loss: 0.9682 +2024/02/13 14:25:14 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 14:26:03 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 14:26:03 - mmengine - INFO - Saving checkpoint at 77 epochs +2024/02/13 14:26:32 - mmengine - INFO - Epoch(val) [77][ 10/196] eta: 0:02:12 time: 0.7141 data_time: 0.0242 memory: 41551 +2024/02/13 14:26:39 - mmengine - INFO - Epoch(val) [77][ 20/196] eta: 0:02:03 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 14:26:46 - mmengine - INFO - Epoch(val) [77][ 30/196] eta: 0:01:55 time: 0.6873 data_time: 0.0007 memory: 4673 +2024/02/13 14:26:53 - mmengine - INFO - Epoch(val) [77][ 40/196] eta: 0:01:48 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 14:27:00 - mmengine - INFO - Epoch(val) [77][ 50/196] eta: 0:01:41 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 14:27:07 - mmengine - INFO - Epoch(val) [77][ 60/196] eta: 0:01:34 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 14:27:14 - mmengine - INFO - Epoch(val) [77][ 70/196] eta: 0:01:27 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 14:27:20 - mmengine - INFO - Epoch(val) [77][ 80/196] eta: 0:01:20 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 14:27:27 - mmengine - INFO - Epoch(val) [77][ 90/196] eta: 0:01:13 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 14:27:34 - mmengine - INFO - Epoch(val) [77][100/196] eta: 0:01:06 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 14:27:41 - mmengine - INFO - Epoch(val) [77][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 14:27:48 - mmengine - INFO - Epoch(val) [77][120/196] eta: 0:00:52 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 14:27:55 - mmengine - INFO - Epoch(val) [77][130/196] eta: 0:00:45 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 14:28:02 - mmengine - INFO - Epoch(val) [77][140/196] eta: 0:00:38 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 14:28:09 - mmengine - INFO - Epoch(val) [77][150/196] eta: 0:00:31 time: 0.6882 data_time: 0.0014 memory: 4673 +2024/02/13 14:28:15 - mmengine - INFO - Epoch(val) [77][160/196] eta: 0:00:24 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 14:28:22 - mmengine - INFO - Epoch(val) [77][170/196] eta: 0:00:17 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 14:28:29 - mmengine - INFO - Epoch(val) [77][180/196] eta: 0:00:11 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 14:28:36 - mmengine - INFO - Epoch(val) [77][190/196] eta: 0:00:04 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 14:28:49 - mmengine - INFO - Epoch(val) [77][196/196] accuracy/top1: 76.9480 accuracy/top5: 92.7060 data_time: 0.0019 time: 0.6844 +2024/02/13 14:30:29 - mmengine - INFO - Epoch(train) [78][10/78] lr: 4.0096e-01 eta: 2:19:40 time: 10.0125 data_time: 1.2259 memory: 41551 loss: 0.9776 +2024/02/13 14:31:51 - mmengine - INFO - Epoch(train) [78][20/78] lr: 3.9318e-01 eta: 2:18:16 time: 8.1438 data_time: 0.0043 memory: 41551 loss: 0.9441 +2024/02/13 14:33:12 - mmengine - INFO - Epoch(train) [78][30/78] lr: 3.8548e-01 eta: 2:16:52 time: 8.1349 data_time: 0.0050 memory: 41551 loss: 0.9318 +2024/02/13 14:34:33 - mmengine - INFO - Epoch(train) [78][40/78] lr: 3.7785e-01 eta: 2:15:29 time: 8.1419 data_time: 0.0048 memory: 41551 loss: 0.9558 +2024/02/13 14:35:55 - mmengine - INFO - Epoch(train) [78][50/78] lr: 3.7029e-01 eta: 2:14:05 time: 8.1460 data_time: 0.0042 memory: 41551 loss: 0.9316 +2024/02/13 14:37:16 - mmengine - INFO - Epoch(train) [78][60/78] lr: 3.6281e-01 eta: 2:12:41 time: 8.1456 data_time: 0.0047 memory: 41551 loss: 0.9689 +2024/02/13 14:38:38 - mmengine - INFO - Epoch(train) [78][70/78] lr: 3.5539e-01 eta: 2:11:17 time: 8.1489 data_time: 0.0050 memory: 41551 loss: 0.9649 +2024/02/13 14:39:43 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 14:39:43 - mmengine - INFO - Saving checkpoint at 78 epochs +2024/02/13 14:40:12 - mmengine - INFO - Epoch(val) [78][ 10/196] eta: 0:02:12 time: 0.7149 data_time: 0.0239 memory: 41551 +2024/02/13 14:40:19 - mmengine - INFO - Epoch(val) [78][ 20/196] eta: 0:02:03 time: 0.6877 data_time: 0.0009 memory: 4673 +2024/02/13 14:40:26 - mmengine - INFO - Epoch(val) [78][ 30/196] eta: 0:01:55 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 14:40:33 - mmengine - INFO - Epoch(val) [78][ 40/196] eta: 0:01:48 time: 0.6878 data_time: 0.0009 memory: 4673 +2024/02/13 14:40:40 - mmengine - INFO - Epoch(val) [78][ 50/196] eta: 0:01:41 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 14:40:47 - mmengine - INFO - Epoch(val) [78][ 60/196] eta: 0:01:34 time: 0.6883 data_time: 0.0008 memory: 4673 +2024/02/13 14:40:54 - mmengine - INFO - Epoch(val) [78][ 70/196] eta: 0:01:27 time: 0.6876 data_time: 0.0004 memory: 4673 +2024/02/13 14:41:00 - mmengine - INFO - Epoch(val) [78][ 80/196] eta: 0:01:20 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 14:41:07 - mmengine - INFO - Epoch(val) [78][ 90/196] eta: 0:01:13 time: 0.6876 data_time: 0.0004 memory: 4673 +2024/02/13 14:41:14 - mmengine - INFO - Epoch(val) [78][100/196] eta: 0:01:06 time: 0.6882 data_time: 0.0009 memory: 4673 +2024/02/13 14:41:21 - mmengine - INFO - Epoch(val) [78][110/196] eta: 0:00:59 time: 0.6880 data_time: 0.0005 memory: 4673 +2024/02/13 14:41:28 - mmengine - INFO - Epoch(val) [78][120/196] eta: 0:00:52 time: 0.6883 data_time: 0.0009 memory: 4673 +2024/02/13 14:41:35 - mmengine - INFO - Epoch(val) [78][130/196] eta: 0:00:45 time: 0.6877 data_time: 0.0004 memory: 4673 +2024/02/13 14:41:42 - mmengine - INFO - Epoch(val) [78][140/196] eta: 0:00:38 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 14:41:49 - mmengine - INFO - Epoch(val) [78][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 14:41:56 - mmengine - INFO - Epoch(val) [78][160/196] eta: 0:00:24 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/13 14:42:02 - mmengine - INFO - Epoch(val) [78][170/196] eta: 0:00:17 time: 0.6875 data_time: 0.0003 memory: 4673 +2024/02/13 14:42:09 - mmengine - INFO - Epoch(val) [78][180/196] eta: 0:00:11 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 14:42:16 - mmengine - INFO - Epoch(val) [78][190/196] eta: 0:00:04 time: 0.6872 data_time: 0.0004 memory: 4673 +2024/02/13 14:42:29 - mmengine - INFO - Epoch(val) [78][196/196] accuracy/top1: 77.0180 accuracy/top5: 92.6920 data_time: 0.0018 time: 0.6845 +2024/02/13 14:44:08 - mmengine - INFO - Epoch(train) [79][10/78] lr: 3.4223e-01 eta: 2:08:49 time: 9.9311 data_time: 1.2246 memory: 41551 loss: 0.9441 +2024/02/13 14:45:30 - mmengine - INFO - Epoch(train) [79][20/78] lr: 3.3501e-01 eta: 2:07:26 time: 8.1430 data_time: 0.0040 memory: 41551 loss: 0.9517 +2024/02/13 14:46:51 - mmengine - INFO - Epoch(train) [79][30/78] lr: 3.2787e-01 eta: 2:06:02 time: 8.1483 data_time: 0.0041 memory: 41551 loss: 0.9454 +2024/02/13 14:48:13 - mmengine - INFO - Epoch(train) [79][40/78] lr: 3.2081e-01 eta: 2:04:38 time: 8.1467 data_time: 0.0050 memory: 41551 loss: 0.9426 +2024/02/13 14:49:34 - mmengine - INFO - Epoch(train) [79][50/78] lr: 3.1381e-01 eta: 2:03:14 time: 8.1533 data_time: 0.0081 memory: 41551 loss: 0.9414 +2024/02/13 14:50:56 - mmengine - INFO - Epoch(train) [79][60/78] lr: 3.0689e-01 eta: 2:01:51 time: 8.1508 data_time: 0.0068 memory: 41551 loss: 0.9655 +2024/02/13 14:52:17 - mmengine - INFO - Epoch(train) [79][70/78] lr: 3.0004e-01 eta: 2:00:27 time: 8.1551 data_time: 0.0059 memory: 41551 loss: 0.9622 +2024/02/13 14:53:23 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 14:53:23 - mmengine - INFO - Saving checkpoint at 79 epochs +2024/02/13 14:53:51 - mmengine - INFO - Epoch(val) [79][ 10/196] eta: 0:02:12 time: 0.7132 data_time: 0.0223 memory: 41551 +2024/02/13 14:53:58 - mmengine - INFO - Epoch(val) [79][ 20/196] eta: 0:02:03 time: 0.6877 data_time: 0.0008 memory: 4673 +2024/02/13 14:54:05 - mmengine - INFO - Epoch(val) [79][ 30/196] eta: 0:01:55 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 14:54:12 - mmengine - INFO - Epoch(val) [79][ 40/196] eta: 0:01:48 time: 0.6878 data_time: 0.0008 memory: 4673 +2024/02/13 14:54:19 - mmengine - INFO - Epoch(val) [79][ 50/196] eta: 0:01:41 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 14:54:26 - mmengine - INFO - Epoch(val) [79][ 60/196] eta: 0:01:34 time: 0.6883 data_time: 0.0007 memory: 4673 +2024/02/13 14:54:33 - mmengine - INFO - Epoch(val) [79][ 70/196] eta: 0:01:27 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 14:54:40 - mmengine - INFO - Epoch(val) [79][ 80/196] eta: 0:01:20 time: 0.6884 data_time: 0.0008 memory: 4673 +2024/02/13 14:54:46 - mmengine - INFO - Epoch(val) [79][ 90/196] eta: 0:01:13 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 14:54:53 - mmengine - INFO - Epoch(val) [79][100/196] eta: 0:01:06 time: 0.6882 data_time: 0.0008 memory: 4673 +2024/02/13 14:55:00 - mmengine - INFO - Epoch(val) [79][110/196] eta: 0:00:59 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 14:55:07 - mmengine - INFO - Epoch(val) [79][120/196] eta: 0:00:52 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 14:55:14 - mmengine - INFO - Epoch(val) [79][130/196] eta: 0:00:45 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 14:55:21 - mmengine - INFO - Epoch(val) [79][140/196] eta: 0:00:38 time: 0.6883 data_time: 0.0008 memory: 4673 +2024/02/13 14:55:28 - mmengine - INFO - Epoch(val) [79][150/196] eta: 0:00:31 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 14:55:35 - mmengine - INFO - Epoch(val) [79][160/196] eta: 0:00:24 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 14:55:42 - mmengine - INFO - Epoch(val) [79][170/196] eta: 0:00:17 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 14:55:48 - mmengine - INFO - Epoch(val) [79][180/196] eta: 0:00:11 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 14:55:55 - mmengine - INFO - Epoch(val) [79][190/196] eta: 0:00:04 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 14:56:08 - mmengine - INFO - Epoch(val) [79][196/196] accuracy/top1: 77.0780 accuracy/top5: 92.6940 data_time: 0.0018 time: 0.6845 +2024/02/13 14:57:46 - mmengine - INFO - Epoch(train) [80][10/78] lr: 2.8790e-01 eta: 1:57:58 time: 9.7913 data_time: 1.2198 memory: 41551 loss: 0.9428 +2024/02/13 14:59:08 - mmengine - INFO - Epoch(train) [80][20/78] lr: 2.8126e-01 eta: 1:56:35 time: 8.1514 data_time: 0.0041 memory: 41551 loss: 0.9385 +2024/02/13 15:00:29 - mmengine - INFO - Epoch(train) [80][30/78] lr: 2.7469e-01 eta: 1:55:11 time: 8.1504 data_time: 0.0044 memory: 41551 loss: 0.9418 +2024/02/13 15:01:51 - mmengine - INFO - Epoch(train) [80][40/78] lr: 2.6820e-01 eta: 1:53:47 time: 8.1594 data_time: 0.0044 memory: 41551 loss: 0.9262 +2024/02/13 15:03:12 - mmengine - INFO - Epoch(train) [80][50/78] lr: 2.6178e-01 eta: 1:52:23 time: 8.1470 data_time: 0.0044 memory: 41551 loss: 0.9313 +2024/02/13 15:04:34 - mmengine - INFO - Epoch(train) [80][60/78] lr: 2.5543e-01 eta: 1:51:00 time: 8.1492 data_time: 0.0037 memory: 41551 loss: 0.9437 +2024/02/13 15:05:55 - mmengine - INFO - Epoch(train) [80][70/78] lr: 2.4916e-01 eta: 1:49:36 time: 8.1463 data_time: 0.0045 memory: 41551 loss: 0.9543 +2024/02/13 15:07:00 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 15:07:00 - mmengine - INFO - Saving checkpoint at 80 epochs +2024/02/13 15:07:29 - mmengine - INFO - Epoch(val) [80][ 10/196] eta: 0:02:12 time: 0.7123 data_time: 0.0222 memory: 41551 +2024/02/13 15:07:36 - mmengine - INFO - Epoch(val) [80][ 20/196] eta: 0:02:03 time: 0.6876 data_time: 0.0008 memory: 4673 +2024/02/13 15:07:42 - mmengine - INFO - Epoch(val) [80][ 30/196] eta: 0:01:55 time: 0.6873 data_time: 0.0006 memory: 4673 +2024/02/13 15:07:49 - mmengine - INFO - Epoch(val) [80][ 40/196] eta: 0:01:48 time: 0.6876 data_time: 0.0008 memory: 4673 +2024/02/13 15:07:56 - mmengine - INFO - Epoch(val) [80][ 50/196] eta: 0:01:41 time: 0.6882 data_time: 0.0006 memory: 4673 +2024/02/13 15:08:03 - mmengine - INFO - Epoch(val) [80][ 60/196] eta: 0:01:34 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 15:08:10 - mmengine - INFO - Epoch(val) [80][ 70/196] eta: 0:01:27 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 15:08:17 - mmengine - INFO - Epoch(val) [80][ 80/196] eta: 0:01:20 time: 0.6883 data_time: 0.0008 memory: 4673 +2024/02/13 15:08:24 - mmengine - INFO - Epoch(val) [80][ 90/196] eta: 0:01:13 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 15:08:31 - mmengine - INFO - Epoch(val) [80][100/196] eta: 0:01:06 time: 0.6883 data_time: 0.0014 memory: 4673 +2024/02/13 15:08:37 - mmengine - INFO - Epoch(val) [80][110/196] eta: 0:00:59 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 15:08:44 - mmengine - INFO - Epoch(val) [80][120/196] eta: 0:00:52 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 15:08:51 - mmengine - INFO - Epoch(val) [80][130/196] eta: 0:00:45 time: 0.6881 data_time: 0.0014 memory: 4673 +2024/02/13 15:08:58 - mmengine - INFO - Epoch(val) [80][140/196] eta: 0:00:38 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 15:09:05 - mmengine - INFO - Epoch(val) [80][150/196] eta: 0:00:31 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 15:09:12 - mmengine - INFO - Epoch(val) [80][160/196] eta: 0:00:24 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 15:09:19 - mmengine - INFO - Epoch(val) [80][170/196] eta: 0:00:17 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 15:09:26 - mmengine - INFO - Epoch(val) [80][180/196] eta: 0:00:11 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 15:09:32 - mmengine - INFO - Epoch(val) [80][190/196] eta: 0:00:04 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 15:09:45 - mmengine - INFO - Epoch(val) [80][196/196] accuracy/top1: 77.0640 accuracy/top5: 92.7200 data_time: 0.0018 time: 0.6844 +2024/02/13 15:11:25 - mmengine - INFO - Epoch(train) [81][10/78] lr: 2.3807e-01 eta: 1:47:07 time: 9.9280 data_time: 1.2684 memory: 41551 loss: 0.9366 +2024/02/13 15:12:46 - mmengine - INFO - Epoch(train) [81][20/78] lr: 2.3201e-01 eta: 1:45:44 time: 8.1527 data_time: 0.0040 memory: 41551 loss: 0.9319 +2024/02/13 15:14:08 - mmengine - INFO - Epoch(train) [81][30/78] lr: 2.2602e-01 eta: 1:44:20 time: 8.1414 data_time: 0.0042 memory: 41551 loss: 0.9319 +2024/02/13 15:15:29 - mmengine - INFO - Epoch(train) [81][40/78] lr: 2.2011e-01 eta: 1:42:56 time: 8.1425 data_time: 0.0043 memory: 41551 loss: 0.9231 +2024/02/13 15:16:50 - mmengine - INFO - Epoch(train) [81][50/78] lr: 2.1428e-01 eta: 1:41:33 time: 8.1384 data_time: 0.0040 memory: 41551 loss: 0.9388 +2024/02/13 15:18:12 - mmengine - INFO - Epoch(train) [81][60/78] lr: 2.0852e-01 eta: 1:40:09 time: 8.1491 data_time: 0.0041 memory: 41551 loss: 0.9318 +2024/02/13 15:19:33 - mmengine - INFO - Epoch(train) [81][70/78] lr: 2.0284e-01 eta: 1:38:45 time: 8.1470 data_time: 0.0053 memory: 41551 loss: 0.9411 +2024/02/13 15:20:39 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 15:20:39 - mmengine - INFO - Saving checkpoint at 81 epochs +2024/02/13 15:21:07 - mmengine - INFO - Epoch(val) [81][ 10/196] eta: 0:02:12 time: 0.7106 data_time: 0.0219 memory: 41551 +2024/02/13 15:21:14 - mmengine - INFO - Epoch(val) [81][ 20/196] eta: 0:02:03 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 15:21:21 - mmengine - INFO - Epoch(val) [81][ 30/196] eta: 0:01:55 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 15:21:28 - mmengine - INFO - Epoch(val) [81][ 40/196] eta: 0:01:48 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 15:21:35 - mmengine - INFO - Epoch(val) [81][ 50/196] eta: 0:01:41 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 15:21:42 - mmengine - INFO - Epoch(val) [81][ 60/196] eta: 0:01:34 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 15:21:48 - mmengine - INFO - Epoch(val) [81][ 70/196] eta: 0:01:27 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 15:21:55 - mmengine - INFO - Epoch(val) [81][ 80/196] eta: 0:01:20 time: 0.6886 data_time: 0.0013 memory: 4673 +2024/02/13 15:22:02 - mmengine - INFO - Epoch(val) [81][ 90/196] eta: 0:01:13 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 15:22:09 - mmengine - INFO - Epoch(val) [81][100/196] eta: 0:01:06 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 15:22:16 - mmengine - INFO - Epoch(val) [81][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 15:22:23 - mmengine - INFO - Epoch(val) [81][120/196] eta: 0:00:52 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 15:22:30 - mmengine - INFO - Epoch(val) [81][130/196] eta: 0:00:45 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 15:22:37 - mmengine - INFO - Epoch(val) [81][140/196] eta: 0:00:38 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 15:22:44 - mmengine - INFO - Epoch(val) [81][150/196] eta: 0:00:31 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 15:22:50 - mmengine - INFO - Epoch(val) [81][160/196] eta: 0:00:24 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 15:22:57 - mmengine - INFO - Epoch(val) [81][170/196] eta: 0:00:17 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 15:23:04 - mmengine - INFO - Epoch(val) [81][180/196] eta: 0:00:11 time: 0.6873 data_time: 0.0005 memory: 4673 +2024/02/13 15:23:11 - mmengine - INFO - Epoch(val) [81][190/196] eta: 0:00:04 time: 0.6872 data_time: 0.0004 memory: 4673 +2024/02/13 15:23:24 - mmengine - INFO - Epoch(val) [81][196/196] accuracy/top1: 77.1060 accuracy/top5: 92.7700 data_time: 0.0017 time: 0.6842 +2024/02/13 15:24:58 - mmengine - INFO - Epoch(train) [82][10/78] lr: 1.9280e-01 eta: 1:36:16 time: 9.3988 data_time: 1.2575 memory: 41551 loss: 0.9211 +2024/02/13 15:26:19 - mmengine - INFO - Epoch(train) [82][20/78] lr: 1.8733e-01 eta: 1:34:52 time: 8.1248 data_time: 0.0046 memory: 41551 loss: 0.9336 +2024/02/13 15:27:41 - mmengine - INFO - Epoch(train) [82][30/78] lr: 1.8194e-01 eta: 1:33:29 time: 8.1426 data_time: 0.0042 memory: 41551 loss: 0.9266 +2024/02/13 15:29:02 - mmengine - INFO - Epoch(train) [82][40/78] lr: 1.7662e-01 eta: 1:32:05 time: 8.1397 data_time: 0.0045 memory: 41551 loss: 0.9289 +2024/02/13 15:30:23 - mmengine - INFO - Epoch(train) [82][50/78] lr: 1.7138e-01 eta: 1:30:41 time: 8.1399 data_time: 0.0044 memory: 41551 loss: 0.9545 +2024/02/13 15:31:45 - mmengine - INFO - Epoch(train) [82][60/78] lr: 1.6622e-01 eta: 1:29:18 time: 8.1435 data_time: 0.0046 memory: 41551 loss: 0.9507 +2024/02/13 15:33:06 - mmengine - INFO - Epoch(train) [82][70/78] lr: 1.6113e-01 eta: 1:27:54 time: 8.1433 data_time: 0.0047 memory: 41551 loss: 0.9232 +2024/02/13 15:34:11 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 15:34:11 - mmengine - INFO - Saving checkpoint at 82 epochs +2024/02/13 15:34:40 - mmengine - INFO - Epoch(val) [82][ 10/196] eta: 0:02:12 time: 0.7121 data_time: 0.0218 memory: 41551 +2024/02/13 15:34:47 - mmengine - INFO - Epoch(val) [82][ 20/196] eta: 0:02:03 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 15:34:54 - mmengine - INFO - Epoch(val) [82][ 30/196] eta: 0:01:55 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 15:35:01 - mmengine - INFO - Epoch(val) [82][ 40/196] eta: 0:01:48 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 15:35:08 - mmengine - INFO - Epoch(val) [82][ 50/196] eta: 0:01:41 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 15:35:15 - mmengine - INFO - Epoch(val) [82][ 60/196] eta: 0:01:34 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 15:35:22 - mmengine - INFO - Epoch(val) [82][ 70/196] eta: 0:01:27 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 15:35:28 - mmengine - INFO - Epoch(val) [82][ 80/196] eta: 0:01:20 time: 0.6886 data_time: 0.0015 memory: 4673 +2024/02/13 15:35:35 - mmengine - INFO - Epoch(val) [82][ 90/196] eta: 0:01:13 time: 0.6884 data_time: 0.0012 memory: 4673 +2024/02/13 15:35:42 - mmengine - INFO - Epoch(val) [82][100/196] eta: 0:01:06 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 15:35:49 - mmengine - INFO - Epoch(val) [82][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0005 memory: 4673 +2024/02/13 15:35:56 - mmengine - INFO - Epoch(val) [82][120/196] eta: 0:00:52 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 15:36:03 - mmengine - INFO - Epoch(val) [82][130/196] eta: 0:00:45 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 15:36:10 - mmengine - INFO - Epoch(val) [82][140/196] eta: 0:00:38 time: 0.6878 data_time: 0.0005 memory: 4673 +2024/02/13 15:36:17 - mmengine - INFO - Epoch(val) [82][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 15:36:23 - mmengine - INFO - Epoch(val) [82][160/196] eta: 0:00:24 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 15:36:30 - mmengine - INFO - Epoch(val) [82][170/196] eta: 0:00:17 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 15:36:37 - mmengine - INFO - Epoch(val) [82][180/196] eta: 0:00:11 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 15:36:44 - mmengine - INFO - Epoch(val) [82][190/196] eta: 0:00:04 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 15:36:57 - mmengine - INFO - Epoch(val) [82][196/196] accuracy/top1: 77.1960 accuracy/top5: 92.7680 data_time: 0.0017 time: 0.6843 +2024/02/13 15:38:36 - mmengine - INFO - Epoch(train) [83][10/78] lr: 1.5217e-01 eta: 1:25:25 time: 9.9277 data_time: 1.8377 memory: 41551 loss: 0.9428 +2024/02/13 15:39:58 - mmengine - INFO - Epoch(train) [83][20/78] lr: 1.4730e-01 eta: 1:24:01 time: 8.1346 data_time: 0.0044 memory: 41551 loss: 0.9379 +2024/02/13 15:41:19 - mmengine - INFO - Epoch(train) [83][30/78] lr: 1.4251e-01 eta: 1:22:38 time: 8.1459 data_time: 0.0044 memory: 41551 loss: 0.9308 +2024/02/13 15:42:41 - mmengine - INFO - Epoch(train) [83][40/78] lr: 1.3779e-01 eta: 1:21:14 time: 8.1468 data_time: 0.0044 memory: 41551 loss: 0.9187 +2024/02/13 15:44:02 - mmengine - INFO - Epoch(train) [83][50/78] lr: 1.3315e-01 eta: 1:19:50 time: 8.1371 data_time: 0.0040 memory: 41551 loss: 0.9549 +2024/02/13 15:45:23 - mmengine - INFO - Epoch(train) [83][60/78] lr: 1.2859e-01 eta: 1:18:27 time: 8.1367 data_time: 0.0040 memory: 41551 loss: 0.9402 +2024/02/13 15:46:45 - mmengine - INFO - Epoch(train) [83][70/78] lr: 1.2411e-01 eta: 1:17:03 time: 8.1386 data_time: 0.0044 memory: 41551 loss: 0.9395 +2024/02/13 15:47:50 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 15:47:50 - mmengine - INFO - Saving checkpoint at 83 epochs +2024/02/13 15:48:18 - mmengine - INFO - Epoch(val) [83][ 10/196] eta: 0:02:12 time: 0.7117 data_time: 0.0217 memory: 41551 +2024/02/13 15:48:25 - mmengine - INFO - Epoch(val) [83][ 20/196] eta: 0:02:03 time: 0.6867 data_time: 0.0006 memory: 4673 +2024/02/13 15:48:32 - mmengine - INFO - Epoch(val) [83][ 30/196] eta: 0:01:55 time: 0.6865 data_time: 0.0006 memory: 4673 +2024/02/13 15:48:39 - mmengine - INFO - Epoch(val) [83][ 40/196] eta: 0:01:48 time: 0.6867 data_time: 0.0006 memory: 4673 +2024/02/13 15:48:46 - mmengine - INFO - Epoch(val) [83][ 50/196] eta: 0:01:40 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 15:48:53 - mmengine - INFO - Epoch(val) [83][ 60/196] eta: 0:01:33 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 15:49:00 - mmengine - INFO - Epoch(val) [83][ 70/196] eta: 0:01:26 time: 0.6870 data_time: 0.0006 memory: 4673 +2024/02/13 15:49:07 - mmengine - INFO - Epoch(val) [83][ 80/196] eta: 0:01:20 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 15:49:13 - mmengine - INFO - Epoch(val) [83][ 90/196] eta: 0:01:13 time: 0.6884 data_time: 0.0012 memory: 4673 +2024/02/13 15:49:20 - mmengine - INFO - Epoch(val) [83][100/196] eta: 0:01:06 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 15:49:27 - mmengine - INFO - Epoch(val) [83][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 15:49:34 - mmengine - INFO - Epoch(val) [83][120/196] eta: 0:00:52 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 15:49:41 - mmengine - INFO - Epoch(val) [83][130/196] eta: 0:00:45 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 15:49:48 - mmengine - INFO - Epoch(val) [83][140/196] eta: 0:00:38 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 15:49:55 - mmengine - INFO - Epoch(val) [83][150/196] eta: 0:00:31 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 15:50:02 - mmengine - INFO - Epoch(val) [83][160/196] eta: 0:00:24 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 15:50:08 - mmengine - INFO - Epoch(val) [83][170/196] eta: 0:00:17 time: 0.6873 data_time: 0.0003 memory: 4673 +2024/02/13 15:50:15 - mmengine - INFO - Epoch(val) [83][180/196] eta: 0:00:11 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 15:50:22 - mmengine - INFO - Epoch(val) [83][190/196] eta: 0:00:04 time: 0.6881 data_time: 0.0013 memory: 4673 +2024/02/13 15:50:35 - mmengine - INFO - Epoch(val) [83][196/196] accuracy/top1: 77.2200 accuracy/top5: 92.7840 data_time: 0.0017 time: 0.6840 +2024/02/13 15:52:15 - mmengine - INFO - Epoch(train) [84][10/78] lr: 1.1624e-01 eta: 1:14:34 time: 9.9892 data_time: 1.3121 memory: 41551 loss: 0.9221 +2024/02/13 15:53:36 - mmengine - INFO - Epoch(train) [84][20/78] lr: 1.1198e-01 eta: 1:13:10 time: 8.1297 data_time: 0.0041 memory: 41551 loss: 0.9465 +2024/02/13 15:54:58 - mmengine - INFO - Epoch(train) [84][30/78] lr: 1.0779e-01 eta: 1:11:47 time: 8.1387 data_time: 0.0044 memory: 41551 loss: 0.9426 +2024/02/13 15:56:19 - mmengine - INFO - Epoch(train) [84][40/78] lr: 1.0368e-01 eta: 1:10:23 time: 8.1402 data_time: 0.0042 memory: 41551 loss: 0.9207 +2024/02/13 15:57:41 - mmengine - INFO - Epoch(train) [84][50/78] lr: 9.9654e-02 eta: 1:09:00 time: 8.1422 data_time: 0.0045 memory: 41551 loss: 0.9319 +2024/02/13 15:59:02 - mmengine - INFO - Epoch(train) [84][60/78] lr: 9.5704e-02 eta: 1:07:36 time: 8.1552 data_time: 0.0038 memory: 41551 loss: 0.9415 +2024/02/13 16:00:24 - mmengine - INFO - Epoch(train) [84][70/78] lr: 9.1833e-02 eta: 1:06:12 time: 8.1478 data_time: 0.0042 memory: 41551 loss: 0.9128 +2024/02/13 16:01:29 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 16:01:29 - mmengine - INFO - Saving checkpoint at 84 epochs +2024/02/13 16:01:57 - mmengine - INFO - Epoch(val) [84][ 10/196] eta: 0:02:12 time: 0.7134 data_time: 0.0224 memory: 41551 +2024/02/13 16:02:04 - mmengine - INFO - Epoch(val) [84][ 20/196] eta: 0:02:03 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 16:02:11 - mmengine - INFO - Epoch(val) [84][ 30/196] eta: 0:01:55 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 16:02:18 - mmengine - INFO - Epoch(val) [84][ 40/196] eta: 0:01:48 time: 0.6877 data_time: 0.0008 memory: 4673 +2024/02/13 16:02:25 - mmengine - INFO - Epoch(val) [84][ 50/196] eta: 0:01:41 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 16:02:31 - mmengine - INFO - Epoch(val) [84][ 60/196] eta: 0:01:34 time: 0.6884 data_time: 0.0008 memory: 4673 +2024/02/13 16:02:38 - mmengine - INFO - Epoch(val) [84][ 70/196] eta: 0:01:27 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 16:02:45 - mmengine - INFO - Epoch(val) [84][ 80/196] eta: 0:01:20 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 16:02:52 - mmengine - INFO - Epoch(val) [84][ 90/196] eta: 0:01:13 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 16:02:59 - mmengine - INFO - Epoch(val) [84][100/196] eta: 0:01:06 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 16:03:06 - mmengine - INFO - Epoch(val) [84][110/196] eta: 0:00:59 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 16:03:13 - mmengine - INFO - Epoch(val) [84][120/196] eta: 0:00:52 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 16:03:20 - mmengine - INFO - Epoch(val) [84][130/196] eta: 0:00:45 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 16:03:27 - mmengine - INFO - Epoch(val) [84][140/196] eta: 0:00:38 time: 0.6871 data_time: 0.0006 memory: 4673 +2024/02/13 16:03:33 - mmengine - INFO - Epoch(val) [84][150/196] eta: 0:00:31 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 16:03:40 - mmengine - INFO - Epoch(val) [84][160/196] eta: 0:00:24 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 16:03:47 - mmengine - INFO - Epoch(val) [84][170/196] eta: 0:00:17 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 16:03:54 - mmengine - INFO - Epoch(val) [84][180/196] eta: 0:00:11 time: 0.6882 data_time: 0.0011 memory: 4673 +2024/02/13 16:04:01 - mmengine - INFO - Epoch(val) [84][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 16:04:14 - mmengine - INFO - Epoch(val) [84][196/196] accuracy/top1: 77.2260 accuracy/top5: 92.7660 data_time: 0.0018 time: 0.6844 +2024/02/13 16:05:48 - mmengine - INFO - Epoch(train) [85][10/78] lr: 8.5063e-02 eta: 1:03:43 time: 9.4042 data_time: 1.3019 memory: 41551 loss: 0.9422 +2024/02/13 16:07:09 - mmengine - INFO - Epoch(train) [85][20/78] lr: 8.1413e-02 eta: 1:02:19 time: 8.1400 data_time: 0.0044 memory: 41551 loss: 0.9335 +2024/02/13 16:08:31 - mmengine - INFO - Epoch(train) [85][30/78] lr: 7.7841e-02 eta: 1:00:55 time: 8.1439 data_time: 0.0044 memory: 41551 loss: 0.9393 +2024/02/13 16:09:52 - mmengine - INFO - Epoch(train) [85][40/78] lr: 7.4349e-02 eta: 0:59:32 time: 8.1399 data_time: 0.0039 memory: 41551 loss: 0.9181 +2024/02/13 16:11:13 - mmengine - INFO - Epoch(train) [85][50/78] lr: 7.0936e-02 eta: 0:58:08 time: 8.1320 data_time: 0.0042 memory: 41551 loss: 0.9494 +2024/02/13 16:12:35 - mmengine - INFO - Epoch(train) [85][60/78] lr: 6.7602e-02 eta: 0:56:45 time: 8.1388 data_time: 0.0043 memory: 41551 loss: 0.9552 +2024/02/13 16:13:56 - mmengine - INFO - Epoch(train) [85][70/78] lr: 6.4348e-02 eta: 0:55:21 time: 8.1354 data_time: 0.0041 memory: 41551 loss: 0.9313 +2024/02/13 16:15:01 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 16:15:01 - mmengine - INFO - Saving checkpoint at 85 epochs +2024/02/13 16:15:30 - mmengine - INFO - Epoch(val) [85][ 10/196] eta: 0:02:12 time: 0.7124 data_time: 0.0219 memory: 41551 +2024/02/13 16:15:37 - mmengine - INFO - Epoch(val) [85][ 20/196] eta: 0:02:03 time: 0.6880 data_time: 0.0009 memory: 4673 +2024/02/13 16:15:44 - mmengine - INFO - Epoch(val) [85][ 30/196] eta: 0:01:55 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 16:15:51 - mmengine - INFO - Epoch(val) [85][ 40/196] eta: 0:01:48 time: 0.6878 data_time: 0.0009 memory: 4673 +2024/02/13 16:15:58 - mmengine - INFO - Epoch(val) [85][ 50/196] eta: 0:01:41 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 16:16:05 - mmengine - INFO - Epoch(val) [85][ 60/196] eta: 0:01:34 time: 0.6882 data_time: 0.0008 memory: 4673 +2024/02/13 16:16:12 - mmengine - INFO - Epoch(val) [85][ 70/196] eta: 0:01:27 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 16:16:19 - mmengine - INFO - Epoch(val) [85][ 80/196] eta: 0:01:20 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 16:16:25 - mmengine - INFO - Epoch(val) [85][ 90/196] eta: 0:01:13 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 16:16:32 - mmengine - INFO - Epoch(val) [85][100/196] eta: 0:01:06 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 16:16:39 - mmengine - INFO - Epoch(val) [85][110/196] eta: 0:00:59 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 16:16:46 - mmengine - INFO - Epoch(val) [85][120/196] eta: 0:00:52 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 16:16:53 - mmengine - INFO - Epoch(val) [85][130/196] eta: 0:00:45 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 16:17:00 - mmengine - INFO - Epoch(val) [85][140/196] eta: 0:00:38 time: 0.6882 data_time: 0.0008 memory: 4673 +2024/02/13 16:17:07 - mmengine - INFO - Epoch(val) [85][150/196] eta: 0:00:31 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 16:17:14 - mmengine - INFO - Epoch(val) [85][160/196] eta: 0:00:24 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 16:17:20 - mmengine - INFO - Epoch(val) [85][170/196] eta: 0:00:17 time: 0.6874 data_time: 0.0005 memory: 4673 +2024/02/13 16:17:27 - mmengine - INFO - Epoch(val) [85][180/196] eta: 0:00:11 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 16:17:34 - mmengine - INFO - Epoch(val) [85][190/196] eta: 0:00:04 time: 0.6872 data_time: 0.0005 memory: 4673 +2024/02/13 16:17:47 - mmengine - INFO - Epoch(val) [85][196/196] accuracy/top1: 77.1620 accuracy/top5: 92.7860 data_time: 0.0017 time: 0.6843 +2024/02/13 16:19:21 - mmengine - INFO - Epoch(train) [86][10/78] lr: 5.8691e-02 eta: 0:52:51 time: 9.4080 data_time: 1.2793 memory: 41551 loss: 0.9264 +2024/02/13 16:20:43 - mmengine - INFO - Epoch(train) [86][20/78] lr: 5.5659e-02 eta: 0:51:28 time: 8.1364 data_time: 0.0044 memory: 41551 loss: 0.9352 +2024/02/13 16:22:04 - mmengine - INFO - Epoch(train) [86][30/78] lr: 5.2707e-02 eta: 0:50:04 time: 8.1350 data_time: 0.0044 memory: 41551 loss: 0.9198 +2024/02/13 16:23:25 - mmengine - INFO - Epoch(train) [86][40/78] lr: 4.9835e-02 eta: 0:48:41 time: 8.1335 data_time: 0.0037 memory: 41551 loss: 0.9397 +2024/02/13 16:24:47 - mmengine - INFO - Epoch(train) [86][50/78] lr: 4.7043e-02 eta: 0:47:17 time: 8.1579 data_time: 0.0040 memory: 41551 loss: 0.9317 +2024/02/13 16:26:09 - mmengine - INFO - Epoch(train) [86][60/78] lr: 4.4330e-02 eta: 0:45:54 time: 8.1525 data_time: 0.0043 memory: 41551 loss: 0.9317 +2024/02/13 16:27:30 - mmengine - INFO - Epoch(train) [86][70/78] lr: 4.1698e-02 eta: 0:44:30 time: 8.1558 data_time: 0.0048 memory: 41551 loss: 0.9574 +2024/02/13 16:28:35 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 16:28:35 - mmengine - INFO - Saving checkpoint at 86 epochs +2024/02/13 16:29:04 - mmengine - INFO - Epoch(val) [86][ 10/196] eta: 0:02:12 time: 0.7118 data_time: 0.0219 memory: 41551 +2024/02/13 16:29:11 - mmengine - INFO - Epoch(val) [86][ 20/196] eta: 0:02:03 time: 0.6882 data_time: 0.0012 memory: 4673 +2024/02/13 16:29:18 - mmengine - INFO - Epoch(val) [86][ 30/196] eta: 0:01:55 time: 0.6881 data_time: 0.0014 memory: 4673 +2024/02/13 16:29:25 - mmengine - INFO - Epoch(val) [86][ 40/196] eta: 0:01:48 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 16:29:32 - mmengine - INFO - Epoch(val) [86][ 50/196] eta: 0:01:41 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 16:29:39 - mmengine - INFO - Epoch(val) [86][ 60/196] eta: 0:01:34 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 16:29:45 - mmengine - INFO - Epoch(val) [86][ 70/196] eta: 0:01:27 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 16:29:52 - mmengine - INFO - Epoch(val) [86][ 80/196] eta: 0:01:20 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 16:29:59 - mmengine - INFO - Epoch(val) [86][ 90/196] eta: 0:01:13 time: 0.6887 data_time: 0.0014 memory: 4673 +2024/02/13 16:30:06 - mmengine - INFO - Epoch(val) [86][100/196] eta: 0:01:06 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 16:30:13 - mmengine - INFO - Epoch(val) [86][110/196] eta: 0:00:59 time: 0.6881 data_time: 0.0008 memory: 4673 +2024/02/13 16:30:20 - mmengine - INFO - Epoch(val) [86][120/196] eta: 0:00:52 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 16:30:27 - mmengine - INFO - Epoch(val) [86][130/196] eta: 0:00:45 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 16:30:34 - mmengine - INFO - Epoch(val) [86][140/196] eta: 0:00:38 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 16:30:40 - mmengine - INFO - Epoch(val) [86][150/196] eta: 0:00:31 time: 0.6874 data_time: 0.0007 memory: 4673 +2024/02/13 16:30:47 - mmengine - INFO - Epoch(val) [86][160/196] eta: 0:00:24 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 16:30:54 - mmengine - INFO - Epoch(val) [86][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 16:31:01 - mmengine - INFO - Epoch(val) [86][180/196] eta: 0:00:11 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 16:31:08 - mmengine - INFO - Epoch(val) [86][190/196] eta: 0:00:04 time: 0.6872 data_time: 0.0006 memory: 4673 +2024/02/13 16:31:21 - mmengine - INFO - Epoch(val) [86][196/196] accuracy/top1: 77.1840 accuracy/top5: 92.7900 data_time: 0.0018 time: 0.6844 +2024/02/13 16:32:55 - mmengine - INFO - Epoch(train) [87][10/78] lr: 3.7162e-02 eta: 0:42:00 time: 9.4225 data_time: 1.2823 memory: 41551 loss: 0.9236 +2024/02/13 16:34:16 - mmengine - INFO - Epoch(train) [87][20/78] lr: 3.4753e-02 eta: 0:40:37 time: 8.1317 data_time: 0.0037 memory: 41551 loss: 0.9124 +2024/02/13 16:35:38 - mmengine - INFO - Epoch(train) [87][30/78] lr: 3.2426e-02 eta: 0:39:13 time: 8.1555 data_time: 0.0057 memory: 41551 loss: 0.9489 +2024/02/13 16:36:59 - mmengine - INFO - Epoch(train) [87][40/78] lr: 3.0178e-02 eta: 0:37:50 time: 8.1432 data_time: 0.0046 memory: 41551 loss: 0.9364 +2024/02/13 16:38:21 - mmengine - INFO - Epoch(train) [87][50/78] lr: 2.8011e-02 eta: 0:36:26 time: 8.1341 data_time: 0.0045 memory: 41551 loss: 0.9268 +2024/02/13 16:39:42 - mmengine - INFO - Epoch(train) [87][60/78] lr: 2.5924e-02 eta: 0:35:02 time: 8.1399 data_time: 0.0046 memory: 41551 loss: 0.9160 +2024/02/13 16:41:04 - mmengine - INFO - Epoch(train) [87][70/78] lr: 2.3918e-02 eta: 0:33:39 time: 8.1470 data_time: 0.0057 memory: 41551 loss: 0.9561 +2024/02/13 16:42:09 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 16:42:09 - mmengine - INFO - Saving checkpoint at 87 epochs +2024/02/13 16:42:38 - mmengine - INFO - Epoch(val) [87][ 10/196] eta: 0:02:12 time: 0.7117 data_time: 0.0220 memory: 41551 +2024/02/13 16:42:44 - mmengine - INFO - Epoch(val) [87][ 20/196] eta: 0:02:03 time: 0.6879 data_time: 0.0007 memory: 4673 +2024/02/13 16:42:51 - mmengine - INFO - Epoch(val) [87][ 30/196] eta: 0:01:55 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 16:42:58 - mmengine - INFO - Epoch(val) [87][ 40/196] eta: 0:01:48 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 16:43:05 - mmengine - INFO - Epoch(val) [87][ 50/196] eta: 0:01:41 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 16:43:12 - mmengine - INFO - Epoch(val) [87][ 60/196] eta: 0:01:34 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 16:43:19 - mmengine - INFO - Epoch(val) [87][ 70/196] eta: 0:01:27 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 16:43:26 - mmengine - INFO - Epoch(val) [87][ 80/196] eta: 0:01:20 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/13 16:43:33 - mmengine - INFO - Epoch(val) [87][ 90/196] eta: 0:01:13 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 16:43:40 - mmengine - INFO - Epoch(val) [87][100/196] eta: 0:01:06 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 16:43:46 - mmengine - INFO - Epoch(val) [87][110/196] eta: 0:00:59 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 16:43:53 - mmengine - INFO - Epoch(val) [87][120/196] eta: 0:00:52 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 16:44:00 - mmengine - INFO - Epoch(val) [87][130/196] eta: 0:00:45 time: 0.6878 data_time: 0.0006 memory: 4673 +2024/02/13 16:44:07 - mmengine - INFO - Epoch(val) [87][140/196] eta: 0:00:38 time: 0.6875 data_time: 0.0008 memory: 4673 +2024/02/13 16:44:14 - mmengine - INFO - Epoch(val) [87][150/196] eta: 0:00:31 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 16:44:21 - mmengine - INFO - Epoch(val) [87][160/196] eta: 0:00:24 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 16:44:28 - mmengine - INFO - Epoch(val) [87][170/196] eta: 0:00:17 time: 0.6876 data_time: 0.0005 memory: 4673 +2024/02/13 16:44:35 - mmengine - INFO - Epoch(val) [87][180/196] eta: 0:00:11 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 16:44:41 - mmengine - INFO - Epoch(val) [87][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 16:44:54 - mmengine - INFO - Epoch(val) [87][196/196] accuracy/top1: 77.1760 accuracy/top5: 92.7880 data_time: 0.0017 time: 0.6844 +2024/02/13 16:46:34 - mmengine - INFO - Epoch(train) [88][10/78] lr: 2.0509e-02 eta: 0:31:09 time: 9.9612 data_time: 1.3264 memory: 41551 loss: 0.9360 +2024/02/13 16:47:55 - mmengine - INFO - Epoch(train) [88][20/78] lr: 1.8729e-02 eta: 0:29:46 time: 8.1339 data_time: 0.0042 memory: 41551 loss: 0.9176 +2024/02/13 16:49:17 - mmengine - INFO - Epoch(train) [88][30/78] lr: 1.7028e-02 eta: 0:28:22 time: 8.1403 data_time: 0.0039 memory: 41551 loss: 0.9444 +2024/02/13 16:50:38 - mmengine - INFO - Epoch(train) [88][40/78] lr: 1.5409e-02 eta: 0:26:59 time: 8.1363 data_time: 0.0044 memory: 41551 loss: 0.9276 +2024/02/13 16:52:00 - mmengine - INFO - Epoch(train) [88][50/78] lr: 1.3870e-02 eta: 0:25:35 time: 8.1410 data_time: 0.0042 memory: 41551 loss: 0.9414 +2024/02/13 16:53:21 - mmengine - INFO - Epoch(train) [88][60/78] lr: 1.2412e-02 eta: 0:24:12 time: 8.1263 data_time: 0.0044 memory: 41551 loss: 0.9447 +2024/02/13 16:54:42 - mmengine - INFO - Epoch(train) [88][70/78] lr: 1.1035e-02 eta: 0:22:48 time: 8.1239 data_time: 0.0043 memory: 41551 loss: 0.9325 +2024/02/13 16:55:47 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 16:55:47 - mmengine - INFO - Saving checkpoint at 88 epochs +2024/02/13 16:56:16 - mmengine - INFO - Epoch(val) [88][ 10/196] eta: 0:02:12 time: 0.7127 data_time: 0.0217 memory: 41551 +2024/02/13 16:56:23 - mmengine - INFO - Epoch(val) [88][ 20/196] eta: 0:02:03 time: 0.6880 data_time: 0.0009 memory: 4673 +2024/02/13 16:56:30 - mmengine - INFO - Epoch(val) [88][ 30/196] eta: 0:01:55 time: 0.6878 data_time: 0.0004 memory: 4673 +2024/02/13 16:56:37 - mmengine - INFO - Epoch(val) [88][ 40/196] eta: 0:01:48 time: 0.6878 data_time: 0.0008 memory: 4673 +2024/02/13 16:56:44 - mmengine - INFO - Epoch(val) [88][ 50/196] eta: 0:01:41 time: 0.6878 data_time: 0.0004 memory: 4673 +2024/02/13 16:56:50 - mmengine - INFO - Epoch(val) [88][ 60/196] eta: 0:01:34 time: 0.6882 data_time: 0.0008 memory: 4673 +2024/02/13 16:56:57 - mmengine - INFO - Epoch(val) [88][ 70/196] eta: 0:01:27 time: 0.6877 data_time: 0.0005 memory: 4673 +2024/02/13 16:57:04 - mmengine - INFO - Epoch(val) [88][ 80/196] eta: 0:01:20 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 16:57:11 - mmengine - INFO - Epoch(val) [88][ 90/196] eta: 0:01:13 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 16:57:18 - mmengine - INFO - Epoch(val) [88][100/196] eta: 0:01:06 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 16:57:25 - mmengine - INFO - Epoch(val) [88][110/196] eta: 0:00:59 time: 0.6871 data_time: 0.0004 memory: 4673 +2024/02/13 16:57:32 - mmengine - INFO - Epoch(val) [88][120/196] eta: 0:00:52 time: 0.6878 data_time: 0.0008 memory: 4673 +2024/02/13 16:57:39 - mmengine - INFO - Epoch(val) [88][130/196] eta: 0:00:45 time: 0.6874 data_time: 0.0004 memory: 4673 +2024/02/13 16:57:45 - mmengine - INFO - Epoch(val) [88][140/196] eta: 0:00:38 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/13 16:57:52 - mmengine - INFO - Epoch(val) [88][150/196] eta: 0:00:31 time: 0.6878 data_time: 0.0004 memory: 4673 +2024/02/13 16:57:59 - mmengine - INFO - Epoch(val) [88][160/196] eta: 0:00:24 time: 0.6880 data_time: 0.0008 memory: 4673 +2024/02/13 16:58:06 - mmengine - INFO - Epoch(val) [88][170/196] eta: 0:00:17 time: 0.6875 data_time: 0.0004 memory: 4673 +2024/02/13 16:58:13 - mmengine - INFO - Epoch(val) [88][180/196] eta: 0:00:11 time: 0.6880 data_time: 0.0007 memory: 4673 +2024/02/13 16:58:20 - mmengine - INFO - Epoch(val) [88][190/196] eta: 0:00:04 time: 0.6875 data_time: 0.0004 memory: 4673 +2024/02/13 16:58:33 - mmengine - INFO - Epoch(val) [88][196/196] accuracy/top1: 77.2120 accuracy/top5: 92.7800 data_time: 0.0017 time: 0.6843 +2024/02/13 17:00:07 - mmengine - INFO - Epoch(train) [89][10/78] lr: 8.7597e-03 eta: 0:20:18 time: 9.4135 data_time: 1.2388 memory: 41551 loss: 0.9176 +2024/02/13 17:01:28 - mmengine - INFO - Epoch(train) [89][20/78] lr: 7.6089e-03 eta: 0:18:55 time: 8.1209 data_time: 0.0045 memory: 41551 loss: 0.9329 +2024/02/13 17:02:49 - mmengine - INFO - Epoch(train) [89][30/78] lr: 6.5390e-03 eta: 0:17:31 time: 8.1234 data_time: 0.0043 memory: 41551 loss: 0.9279 +2024/02/13 17:04:10 - mmengine - INFO - Epoch(train) [89][40/78] lr: 5.5500e-03 eta: 0:16:08 time: 8.1157 data_time: 0.0040 memory: 41551 loss: 0.9614 +2024/02/13 17:05:32 - mmengine - INFO - Epoch(train) [89][50/78] lr: 4.6421e-03 eta: 0:14:44 time: 8.1257 data_time: 0.0044 memory: 41551 loss: 0.9064 +2024/02/13 17:06:53 - mmengine - INFO - Epoch(train) [89][60/78] lr: 3.8151e-03 eta: 0:13:21 time: 8.1299 data_time: 0.0041 memory: 41551 loss: 0.9432 +2024/02/13 17:08:14 - mmengine - INFO - Epoch(train) [89][70/78] lr: 3.0692e-03 eta: 0:11:57 time: 8.1298 data_time: 0.0040 memory: 41551 loss: 0.9374 +2024/02/13 17:09:19 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 17:09:19 - mmengine - INFO - Saving checkpoint at 89 epochs +2024/02/13 17:09:49 - mmengine - INFO - Epoch(val) [89][ 10/196] eta: 0:02:12 time: 0.7136 data_time: 0.0237 memory: 41551 +2024/02/13 17:09:55 - mmengine - INFO - Epoch(val) [89][ 20/196] eta: 0:02:03 time: 0.6872 data_time: 0.0007 memory: 4673 +2024/02/13 17:10:02 - mmengine - INFO - Epoch(val) [89][ 30/196] eta: 0:01:55 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 17:10:09 - mmengine - INFO - Epoch(val) [89][ 40/196] eta: 0:01:48 time: 0.6875 data_time: 0.0007 memory: 4673 +2024/02/13 17:10:16 - mmengine - INFO - Epoch(val) [89][ 50/196] eta: 0:01:41 time: 0.6874 data_time: 0.0008 memory: 4673 +2024/02/13 17:10:23 - mmengine - INFO - Epoch(val) [89][ 60/196] eta: 0:01:34 time: 0.6879 data_time: 0.0006 memory: 4673 +2024/02/13 17:10:30 - mmengine - INFO - Epoch(val) [89][ 70/196] eta: 0:01:27 time: 0.6882 data_time: 0.0008 memory: 4673 +2024/02/13 17:10:37 - mmengine - INFO - Epoch(val) [89][ 80/196] eta: 0:01:20 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 17:10:44 - mmengine - INFO - Epoch(val) [89][ 90/196] eta: 0:01:13 time: 0.6877 data_time: 0.0007 memory: 4673 +2024/02/13 17:10:51 - mmengine - INFO - Epoch(val) [89][100/196] eta: 0:01:06 time: 0.6876 data_time: 0.0006 memory: 4673 +2024/02/13 17:10:57 - mmengine - INFO - Epoch(val) [89][110/196] eta: 0:00:59 time: 0.6876 data_time: 0.0007 memory: 4673 +2024/02/13 17:11:04 - mmengine - INFO - Epoch(val) [89][120/196] eta: 0:00:52 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 17:11:11 - mmengine - INFO - Epoch(val) [89][130/196] eta: 0:00:45 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 17:11:18 - mmengine - INFO - Epoch(val) [89][140/196] eta: 0:00:38 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 17:11:25 - mmengine - INFO - Epoch(val) [89][150/196] eta: 0:00:31 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 17:11:32 - mmengine - INFO - Epoch(val) [89][160/196] eta: 0:00:24 time: 0.6879 data_time: 0.0008 memory: 4673 +2024/02/13 17:11:39 - mmengine - INFO - Epoch(val) [89][170/196] eta: 0:00:17 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 17:11:46 - mmengine - INFO - Epoch(val) [89][180/196] eta: 0:00:11 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 17:11:52 - mmengine - INFO - Epoch(val) [89][190/196] eta: 0:00:04 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 17:12:06 - mmengine - INFO - Epoch(val) [89][196/196] accuracy/top1: 77.2580 accuracy/top5: 92.7940 data_time: 0.0019 time: 0.6843 +2024/02/13 17:13:43 - mmengine - INFO - Epoch(train) [90][10/78] lr: 1.9307e-03 eta: 0:09:27 time: 9.7899 data_time: 1.2835 memory: 41551 loss: 0.9062 +2024/02/13 17:15:05 - mmengine - INFO - Epoch(train) [90][20/78] lr: 1.4116e-03 eta: 0:08:04 time: 8.1411 data_time: 0.0046 memory: 41551 loss: 0.9457 +2024/02/13 17:16:26 - mmengine - INFO - Epoch(train) [90][30/78] lr: 9.7369e-04 eta: 0:06:40 time: 8.1125 data_time: 0.0048 memory: 41551 loss: 0.9448 +2024/02/13 17:17:47 - mmengine - INFO - Epoch(train) [90][40/78] lr: 6.1683e-04 eta: 0:05:17 time: 8.1271 data_time: 0.0044 memory: 41551 loss: 0.9156 +2024/02/13 17:19:09 - mmengine - INFO - Epoch(train) [90][50/78] lr: 3.4107e-04 eta: 0:03:53 time: 8.1378 data_time: 0.0041 memory: 41551 loss: 0.9559 +2024/02/13 17:20:14 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 17:20:30 - mmengine - INFO - Epoch(train) [90][60/78] lr: 1.4640e-04 eta: 0:02:30 time: 8.1383 data_time: 0.0049 memory: 41551 loss: 0.9319 +2024/02/13 17:21:51 - mmengine - INFO - Epoch(train) [90][70/78] lr: 3.2850e-05 eta: 0:01:06 time: 8.1375 data_time: 0.0048 memory: 41551 loss: 0.9263 +2024/02/13 17:22:56 - mmengine - INFO - Exp name: lama-large-p16_8xb2048-linear-coslr-800-90e_in1k_20240212_205717 +2024/02/13 17:22:56 - mmengine - INFO - Saving checkpoint at 90 epochs +2024/02/13 17:23:25 - mmengine - INFO - Epoch(val) [90][ 10/196] eta: 0:02:12 time: 0.7123 data_time: 0.0217 memory: 41551 +2024/02/13 17:23:32 - mmengine - INFO - Epoch(val) [90][ 20/196] eta: 0:02:03 time: 0.6878 data_time: 0.0008 memory: 4673 +2024/02/13 17:23:39 - mmengine - INFO - Epoch(val) [90][ 30/196] eta: 0:01:55 time: 0.6875 data_time: 0.0006 memory: 4673 +2024/02/13 17:23:46 - mmengine - INFO - Epoch(val) [90][ 40/196] eta: 0:01:48 time: 0.6878 data_time: 0.0008 memory: 4673 +2024/02/13 17:23:53 - mmengine - INFO - Epoch(val) [90][ 50/196] eta: 0:01:41 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 17:24:00 - mmengine - INFO - Epoch(val) [90][ 60/196] eta: 0:01:34 time: 0.6884 data_time: 0.0008 memory: 4673 +2024/02/13 17:24:07 - mmengine - INFO - Epoch(val) [90][ 70/196] eta: 0:01:27 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 17:24:14 - mmengine - INFO - Epoch(val) [90][ 80/196] eta: 0:01:20 time: 0.6882 data_time: 0.0008 memory: 4673 +2024/02/13 17:24:20 - mmengine - INFO - Epoch(val) [90][ 90/196] eta: 0:01:13 time: 0.6880 data_time: 0.0006 memory: 4673 +2024/02/13 17:24:27 - mmengine - INFO - Epoch(val) [90][100/196] eta: 0:01:06 time: 0.6883 data_time: 0.0008 memory: 4673 +2024/02/13 17:24:34 - mmengine - INFO - Epoch(val) [90][110/196] eta: 0:00:59 time: 0.6883 data_time: 0.0007 memory: 4673 +2024/02/13 17:24:41 - mmengine - INFO - Epoch(val) [90][120/196] eta: 0:00:52 time: 0.6885 data_time: 0.0008 memory: 4673 +2024/02/13 17:24:48 - mmengine - INFO - Epoch(val) [90][130/196] eta: 0:00:45 time: 0.6882 data_time: 0.0007 memory: 4673 +2024/02/13 17:24:55 - mmengine - INFO - Epoch(val) [90][140/196] eta: 0:00:38 time: 0.6878 data_time: 0.0007 memory: 4673 +2024/02/13 17:25:02 - mmengine - INFO - Epoch(val) [90][150/196] eta: 0:00:31 time: 0.6875 data_time: 0.0005 memory: 4673 +2024/02/13 17:25:09 - mmengine - INFO - Epoch(val) [90][160/196] eta: 0:00:24 time: 0.6881 data_time: 0.0006 memory: 4673 +2024/02/13 17:25:15 - mmengine - INFO - Epoch(val) [90][170/196] eta: 0:00:17 time: 0.6877 data_time: 0.0006 memory: 4673 +2024/02/13 17:25:22 - mmengine - INFO - Epoch(val) [90][180/196] eta: 0:00:11 time: 0.6881 data_time: 0.0007 memory: 4673 +2024/02/13 17:25:29 - mmengine - INFO - Epoch(val) [90][190/196] eta: 0:00:04 time: 0.6874 data_time: 0.0006 memory: 4673 +2024/02/13 17:25:42 - mmengine - INFO - Epoch(val) [90][196/196] accuracy/top1: 77.1960 accuracy/top5: 92.7600 data_time: 0.0018 time: 0.6845